IVOD_ID |
16043 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16043 |
日期 |
2024-06-27 |
會議資料.會議代碼 |
委員會-11-1-19-17 |
會議資料.會議代碼:str |
第11屆第1會期經濟委員會第17次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
17 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第1會期經濟委員會第17次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-06-27T08:30:47+08:00 |
結束時間 |
2024-06-27T12:35:00+08:00 |
影片長度 |
04:04:13 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77db53741711f1205b9558d85e2d08749d24627684c85f64cd7b8f1e322508a8ab685ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-06-27T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期經濟委員會第17次全體委員會議(事由:邀請農業部部長就「農業移工政策改善措施」進行報告,並備質詢。【6月26日及6月27日兩天一次會】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:47 - 12:35:00 |
transcript.pyannote[0].speaker |
SPEAKER_07 |
transcript.pyannote[0].start |
1771.31534375 |
transcript.pyannote[0].end |
1775.60159375 |
transcript.pyannote[1].speaker |
SPEAKER_07 |
transcript.pyannote[1].start |
1776.02346875 |
transcript.pyannote[1].end |
1776.05721875 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
1776.05721875 |
transcript.pyannote[2].end |
1782.80721875 |
transcript.pyannote[3].speaker |
SPEAKER_07 |
transcript.pyannote[3].start |
1783.31346875 |
transcript.pyannote[3].end |
1785.40596875 |
transcript.pyannote[4].speaker |
SPEAKER_07 |
transcript.pyannote[4].start |
1785.81096875 |
transcript.pyannote[4].end |
1799.31096875 |
transcript.pyannote[5].speaker |
SPEAKER_10 |
transcript.pyannote[5].start |
1809.58784375 |
transcript.pyannote[5].end |
1833.43221875 |
transcript.pyannote[6].speaker |
SPEAKER_10 |
transcript.pyannote[6].start |
1833.88784375 |
transcript.pyannote[6].end |
1835.47409375 |
transcript.pyannote[7].speaker |
SPEAKER_10 |
transcript.pyannote[7].start |
1836.82409375 |
transcript.pyannote[7].end |
1845.91971875 |
transcript.pyannote[8].speaker |
SPEAKER_10 |
transcript.pyannote[8].start |
1846.27409375 |
transcript.pyannote[8].end |
1908.25596875 |
transcript.pyannote[9].speaker |
SPEAKER_10 |
transcript.pyannote[9].start |
1908.82971875 |
transcript.pyannote[9].end |
1932.33659375 |
transcript.pyannote[10].speaker |
SPEAKER_10 |
transcript.pyannote[10].start |
1934.31096875 |
transcript.pyannote[10].end |
1949.71784375 |
transcript.pyannote[11].speaker |
SPEAKER_10 |
transcript.pyannote[11].start |
1950.20721875 |
transcript.pyannote[11].end |
1974.37221875 |
transcript.pyannote[12].speaker |
SPEAKER_10 |
transcript.pyannote[12].start |
1975.11471875 |
transcript.pyannote[12].end |
1978.47284375 |
transcript.pyannote[13].speaker |
SPEAKER_10 |
transcript.pyannote[13].start |
1978.72596875 |
transcript.pyannote[13].end |
1985.20596875 |
transcript.pyannote[14].speaker |
SPEAKER_10 |
transcript.pyannote[14].start |
1986.15096875 |
transcript.pyannote[14].end |
1986.55596875 |
transcript.pyannote[15].speaker |
SPEAKER_10 |
transcript.pyannote[15].start |
1986.75846875 |
transcript.pyannote[15].end |
1987.50096875 |
transcript.pyannote[16].speaker |
SPEAKER_10 |
transcript.pyannote[16].start |
1987.90596875 |
transcript.pyannote[16].end |
1989.74534375 |
transcript.pyannote[17].speaker |
SPEAKER_10 |
transcript.pyannote[17].start |
1989.96471875 |
transcript.pyannote[17].end |
1991.44971875 |
transcript.pyannote[18].speaker |
SPEAKER_10 |
transcript.pyannote[18].start |
1991.82096875 |
transcript.pyannote[18].end |
1992.29346875 |
transcript.pyannote[19].speaker |
SPEAKER_10 |
transcript.pyannote[19].start |
1992.56346875 |
transcript.pyannote[19].end |
2022.53346875 |
transcript.pyannote[20].speaker |
SPEAKER_10 |
transcript.pyannote[20].start |
2022.75284375 |
transcript.pyannote[20].end |
2037.23159375 |
transcript.pyannote[21].speaker |
SPEAKER_10 |
transcript.pyannote[21].start |
2038.22721875 |
transcript.pyannote[21].end |
2072.50034375 |
transcript.pyannote[22].speaker |
SPEAKER_10 |
transcript.pyannote[22].start |
2072.80409375 |
transcript.pyannote[22].end |
2074.64346875 |
transcript.pyannote[23].speaker |
SPEAKER_10 |
transcript.pyannote[23].start |
2075.82471875 |
transcript.pyannote[23].end |
2076.65159375 |
transcript.pyannote[24].speaker |
SPEAKER_10 |
transcript.pyannote[24].start |
2077.29284375 |
transcript.pyannote[24].end |
2107.26284375 |
transcript.pyannote[25].speaker |
SPEAKER_10 |
transcript.pyannote[25].start |
2108.34284375 |
transcript.pyannote[25].end |
2135.41034375 |
transcript.pyannote[26].speaker |
SPEAKER_10 |
transcript.pyannote[26].start |
2135.61284375 |
transcript.pyannote[26].end |
2140.05096875 |
transcript.pyannote[27].speaker |
SPEAKER_10 |
transcript.pyannote[27].start |
2140.33784375 |
transcript.pyannote[27].end |
2152.28534375 |
transcript.pyannote[28].speaker |
SPEAKER_10 |
transcript.pyannote[28].start |
2152.67346875 |
transcript.pyannote[28].end |
2160.03096875 |
transcript.pyannote[29].speaker |
SPEAKER_10 |
transcript.pyannote[29].start |
2160.26721875 |
transcript.pyannote[29].end |
2168.50221875 |
transcript.pyannote[30].speaker |
SPEAKER_10 |
transcript.pyannote[30].start |
2169.83534375 |
transcript.pyannote[30].end |
2174.20596875 |
transcript.pyannote[31].speaker |
SPEAKER_10 |
transcript.pyannote[31].start |
2174.86409375 |
transcript.pyannote[31].end |
2187.90846875 |
transcript.pyannote[32].speaker |
SPEAKER_10 |
transcript.pyannote[32].start |
2188.49909375 |
transcript.pyannote[32].end |
2191.53659375 |
transcript.pyannote[33].speaker |
SPEAKER_10 |
transcript.pyannote[33].start |
2192.09346875 |
transcript.pyannote[33].end |
2199.87284375 |
transcript.pyannote[34].speaker |
SPEAKER_10 |
transcript.pyannote[34].start |
2201.00346875 |
transcript.pyannote[34].end |
2226.09659375 |
transcript.pyannote[35].speaker |
SPEAKER_10 |
transcript.pyannote[35].start |
2227.66596875 |
transcript.pyannote[35].end |
2230.85534375 |
transcript.pyannote[36].speaker |
SPEAKER_10 |
transcript.pyannote[36].start |
2230.97346875 |
transcript.pyannote[36].end |
2270.22471875 |
transcript.pyannote[37].speaker |
SPEAKER_10 |
transcript.pyannote[37].start |
2271.50721875 |
transcript.pyannote[37].end |
2302.30409375 |
transcript.pyannote[38].speaker |
SPEAKER_10 |
transcript.pyannote[38].start |
2302.69221875 |
transcript.pyannote[38].end |
2327.71784375 |
transcript.pyannote[39].speaker |
SPEAKER_10 |
transcript.pyannote[39].start |
2328.07221875 |
transcript.pyannote[39].end |
2336.08784375 |
transcript.pyannote[40].speaker |
SPEAKER_10 |
transcript.pyannote[40].start |
2336.42534375 |
transcript.pyannote[40].end |
2348.13659375 |
transcript.pyannote[41].speaker |
SPEAKER_10 |
transcript.pyannote[41].start |
2348.38971875 |
transcript.pyannote[41].end |
2349.09846875 |
transcript.pyannote[42].speaker |
SPEAKER_10 |
transcript.pyannote[42].start |
2349.43596875 |
transcript.pyannote[42].end |
2352.64221875 |
transcript.pyannote[43].speaker |
SPEAKER_10 |
transcript.pyannote[43].start |
2352.94596875 |
transcript.pyannote[43].end |
2364.55596875 |
transcript.pyannote[44].speaker |
SPEAKER_10 |
transcript.pyannote[44].start |
2365.65284375 |
transcript.pyannote[44].end |
2375.79471875 |
transcript.pyannote[45].speaker |
SPEAKER_10 |
transcript.pyannote[45].start |
2375.87909375 |
transcript.pyannote[45].end |
2379.05159375 |
transcript.pyannote[46].speaker |
SPEAKER_10 |
transcript.pyannote[46].start |
2379.22034375 |
transcript.pyannote[46].end |
2380.99221875 |
transcript.pyannote[47].speaker |
SPEAKER_10 |
transcript.pyannote[47].start |
2381.32971875 |
transcript.pyannote[47].end |
2385.12659375 |
transcript.pyannote[48].speaker |
SPEAKER_10 |
transcript.pyannote[48].start |
2385.27846875 |
transcript.pyannote[48].end |
2389.07534375 |
transcript.pyannote[49].speaker |
SPEAKER_10 |
transcript.pyannote[49].start |
2389.54784375 |
transcript.pyannote[49].end |
2409.49409375 |
transcript.pyannote[50].speaker |
SPEAKER_10 |
transcript.pyannote[50].start |
2409.88221875 |
transcript.pyannote[50].end |
2417.52659375 |
transcript.pyannote[51].speaker |
SPEAKER_10 |
transcript.pyannote[51].start |
2417.96534375 |
transcript.pyannote[51].end |
2423.75346875 |
transcript.pyannote[52].speaker |
SPEAKER_10 |
transcript.pyannote[52].start |
2423.93909375 |
transcript.pyannote[52].end |
2436.13971875 |
transcript.pyannote[53].speaker |
SPEAKER_07 |
transcript.pyannote[53].start |
2438.19846875 |
transcript.pyannote[53].end |
2440.39221875 |
transcript.pyannote[54].speaker |
SPEAKER_07 |
transcript.pyannote[54].start |
2441.97846875 |
transcript.pyannote[54].end |
2442.94034375 |
transcript.pyannote[55].speaker |
SPEAKER_07 |
transcript.pyannote[55].start |
2443.76721875 |
transcript.pyannote[55].end |
2448.82971875 |
transcript.pyannote[56].speaker |
SPEAKER_07 |
transcript.pyannote[56].start |
2449.30221875 |
transcript.pyannote[56].end |
2468.20221875 |
transcript.pyannote[57].speaker |
SPEAKER_07 |
transcript.pyannote[57].start |
2470.71659375 |
transcript.pyannote[57].end |
2471.39159375 |
transcript.pyannote[58].speaker |
SPEAKER_07 |
transcript.pyannote[58].start |
2471.94846875 |
transcript.pyannote[58].end |
2472.91034375 |
transcript.pyannote[59].speaker |
SPEAKER_08 |
transcript.pyannote[59].start |
2478.96846875 |
transcript.pyannote[59].end |
2509.09034375 |
transcript.pyannote[60].speaker |
SPEAKER_13 |
transcript.pyannote[60].start |
2479.06971875 |
transcript.pyannote[60].end |
2479.55909375 |
transcript.pyannote[61].speaker |
SPEAKER_00 |
transcript.pyannote[61].start |
2483.47409375 |
transcript.pyannote[61].end |
2483.52471875 |
transcript.pyannote[62].speaker |
SPEAKER_00 |
transcript.pyannote[62].start |
2483.54159375 |
transcript.pyannote[62].end |
2483.62596875 |
transcript.pyannote[63].speaker |
SPEAKER_08 |
transcript.pyannote[63].start |
2510.22096875 |
transcript.pyannote[63].end |
2516.58284375 |
transcript.pyannote[64].speaker |
SPEAKER_08 |
transcript.pyannote[64].start |
2516.68409375 |
transcript.pyannote[64].end |
2519.09721875 |
transcript.pyannote[65].speaker |
SPEAKER_08 |
transcript.pyannote[65].start |
2520.05909375 |
transcript.pyannote[65].end |
2528.88471875 |
transcript.pyannote[66].speaker |
SPEAKER_08 |
transcript.pyannote[66].start |
2529.44159375 |
transcript.pyannote[66].end |
2534.55471875 |
transcript.pyannote[67].speaker |
SPEAKER_08 |
transcript.pyannote[67].start |
2535.11159375 |
transcript.pyannote[67].end |
2537.77784375 |
transcript.pyannote[68].speaker |
SPEAKER_10 |
transcript.pyannote[68].start |
2537.77784375 |
transcript.pyannote[68].end |
2538.68909375 |
transcript.pyannote[69].speaker |
SPEAKER_08 |
transcript.pyannote[69].start |
2537.82846875 |
transcript.pyannote[69].end |
2539.49909375 |
transcript.pyannote[70].speaker |
SPEAKER_10 |
transcript.pyannote[70].start |
2539.29659375 |
transcript.pyannote[70].end |
2541.22034375 |
transcript.pyannote[71].speaker |
SPEAKER_10 |
transcript.pyannote[71].start |
2541.55784375 |
transcript.pyannote[71].end |
2548.52721875 |
transcript.pyannote[72].speaker |
SPEAKER_08 |
transcript.pyannote[72].start |
2547.26159375 |
transcript.pyannote[72].end |
2551.41284375 |
transcript.pyannote[73].speaker |
SPEAKER_10 |
transcript.pyannote[73].start |
2550.31596875 |
transcript.pyannote[73].end |
2551.42971875 |
transcript.pyannote[74].speaker |
SPEAKER_10 |
transcript.pyannote[74].start |
2551.73346875 |
transcript.pyannote[74].end |
2552.23971875 |
transcript.pyannote[75].speaker |
SPEAKER_10 |
transcript.pyannote[75].start |
2553.87659375 |
transcript.pyannote[75].end |
2559.19221875 |
transcript.pyannote[76].speaker |
SPEAKER_08 |
transcript.pyannote[76].start |
2558.77034375 |
transcript.pyannote[76].end |
2576.03346875 |
transcript.pyannote[77].speaker |
SPEAKER_10 |
transcript.pyannote[77].start |
2564.35596875 |
transcript.pyannote[77].end |
2565.30096875 |
transcript.pyannote[78].speaker |
SPEAKER_08 |
transcript.pyannote[78].start |
2576.33721875 |
transcript.pyannote[78].end |
2581.36596875 |
transcript.pyannote[79].speaker |
SPEAKER_10 |
transcript.pyannote[79].start |
2581.75409375 |
transcript.pyannote[79].end |
2582.59784375 |
transcript.pyannote[80].speaker |
SPEAKER_10 |
transcript.pyannote[80].start |
2583.01971875 |
transcript.pyannote[80].end |
2587.35659375 |
transcript.pyannote[81].speaker |
SPEAKER_08 |
transcript.pyannote[81].start |
2585.04471875 |
transcript.pyannote[81].end |
2585.29784375 |
transcript.pyannote[82].speaker |
SPEAKER_08 |
transcript.pyannote[82].start |
2586.07409375 |
transcript.pyannote[82].end |
2589.53346875 |
transcript.pyannote[83].speaker |
SPEAKER_08 |
transcript.pyannote[83].start |
2590.07346875 |
transcript.pyannote[83].end |
2595.55784375 |
transcript.pyannote[84].speaker |
SPEAKER_08 |
transcript.pyannote[84].start |
2596.08096875 |
transcript.pyannote[84].end |
2598.89909375 |
transcript.pyannote[85].speaker |
SPEAKER_08 |
transcript.pyannote[85].start |
2599.54034375 |
transcript.pyannote[85].end |
2630.38784375 |
transcript.pyannote[86].speaker |
SPEAKER_08 |
transcript.pyannote[86].start |
2630.77596875 |
transcript.pyannote[86].end |
2633.45909375 |
transcript.pyannote[87].speaker |
SPEAKER_08 |
transcript.pyannote[87].start |
2633.50971875 |
transcript.pyannote[87].end |
2640.74909375 |
transcript.pyannote[88].speaker |
SPEAKER_08 |
transcript.pyannote[88].start |
2641.08659375 |
transcript.pyannote[88].end |
2642.80784375 |
transcript.pyannote[89].speaker |
SPEAKER_08 |
transcript.pyannote[89].start |
2642.90909375 |
transcript.pyannote[89].end |
2654.33346875 |
transcript.pyannote[90].speaker |
SPEAKER_08 |
transcript.pyannote[90].start |
2654.68784375 |
transcript.pyannote[90].end |
2674.88721875 |
transcript.pyannote[91].speaker |
SPEAKER_08 |
transcript.pyannote[91].start |
2675.10659375 |
transcript.pyannote[91].end |
2676.97971875 |
transcript.pyannote[92].speaker |
SPEAKER_08 |
transcript.pyannote[92].start |
2677.35096875 |
transcript.pyannote[92].end |
2678.00909375 |
transcript.pyannote[93].speaker |
SPEAKER_08 |
transcript.pyannote[93].start |
2678.61659375 |
transcript.pyannote[93].end |
2679.35909375 |
transcript.pyannote[94].speaker |
SPEAKER_08 |
transcript.pyannote[94].start |
2680.13534375 |
transcript.pyannote[94].end |
2681.62034375 |
transcript.pyannote[95].speaker |
SPEAKER_08 |
transcript.pyannote[95].start |
2681.73846875 |
transcript.pyannote[95].end |
2685.61971875 |
transcript.pyannote[96].speaker |
SPEAKER_08 |
transcript.pyannote[96].start |
2686.12596875 |
transcript.pyannote[96].end |
2696.36909375 |
transcript.pyannote[97].speaker |
SPEAKER_08 |
transcript.pyannote[97].start |
2696.95971875 |
transcript.pyannote[97].end |
2735.90721875 |
transcript.pyannote[98].speaker |
SPEAKER_08 |
transcript.pyannote[98].start |
2735.95784375 |
transcript.pyannote[98].end |
2741.56034375 |
transcript.pyannote[99].speaker |
SPEAKER_08 |
transcript.pyannote[99].start |
2741.96534375 |
transcript.pyannote[99].end |
2744.68221875 |
transcript.pyannote[100].speaker |
SPEAKER_08 |
transcript.pyannote[100].start |
2744.95221875 |
transcript.pyannote[100].end |
2751.09471875 |
transcript.pyannote[101].speaker |
SPEAKER_08 |
transcript.pyannote[101].start |
2751.53346875 |
transcript.pyannote[101].end |
2755.22909375 |
transcript.pyannote[102].speaker |
SPEAKER_08 |
transcript.pyannote[102].start |
2755.71846875 |
transcript.pyannote[102].end |
2757.50721875 |
transcript.pyannote[103].speaker |
SPEAKER_08 |
transcript.pyannote[103].start |
2758.04721875 |
transcript.pyannote[103].end |
2762.40096875 |
transcript.pyannote[104].speaker |
SPEAKER_08 |
transcript.pyannote[104].start |
2763.12659375 |
transcript.pyannote[104].end |
2766.18096875 |
transcript.pyannote[105].speaker |
SPEAKER_08 |
transcript.pyannote[105].start |
2766.51846875 |
transcript.pyannote[105].end |
2774.88846875 |
transcript.pyannote[106].speaker |
SPEAKER_08 |
transcript.pyannote[106].start |
2775.58034375 |
transcript.pyannote[106].end |
2775.81659375 |
transcript.pyannote[107].speaker |
SPEAKER_08 |
transcript.pyannote[107].start |
2775.96846875 |
transcript.pyannote[107].end |
2776.32284375 |
transcript.pyannote[108].speaker |
SPEAKER_08 |
transcript.pyannote[108].start |
2776.87971875 |
transcript.pyannote[108].end |
2777.55471875 |
transcript.pyannote[109].speaker |
SPEAKER_08 |
transcript.pyannote[109].start |
2777.90909375 |
transcript.pyannote[109].end |
2778.80346875 |
transcript.pyannote[110].speaker |
SPEAKER_08 |
transcript.pyannote[110].start |
2778.88784375 |
transcript.pyannote[110].end |
2779.64721875 |
transcript.pyannote[111].speaker |
SPEAKER_08 |
transcript.pyannote[111].start |
2780.89596875 |
transcript.pyannote[111].end |
2781.35159375 |
transcript.pyannote[112].speaker |
SPEAKER_08 |
transcript.pyannote[112].start |
2781.43596875 |
transcript.pyannote[112].end |
2782.98846875 |
transcript.pyannote[113].speaker |
SPEAKER_08 |
transcript.pyannote[113].start |
2783.39346875 |
transcript.pyannote[113].end |
2791.02096875 |
transcript.pyannote[114].speaker |
SPEAKER_08 |
transcript.pyannote[114].start |
2791.30784375 |
transcript.pyannote[114].end |
2806.93409375 |
transcript.pyannote[115].speaker |
SPEAKER_08 |
transcript.pyannote[115].start |
2807.25471875 |
transcript.pyannote[115].end |
2822.79659375 |
transcript.pyannote[116].speaker |
SPEAKER_08 |
transcript.pyannote[116].start |
2823.45471875 |
transcript.pyannote[116].end |
2842.62471875 |
transcript.pyannote[117].speaker |
SPEAKER_08 |
transcript.pyannote[117].start |
2844.59909375 |
transcript.pyannote[117].end |
2866.90784375 |
transcript.pyannote[118].speaker |
SPEAKER_08 |
transcript.pyannote[118].start |
2867.90346875 |
transcript.pyannote[118].end |
2909.48346875 |
transcript.pyannote[119].speaker |
SPEAKER_08 |
transcript.pyannote[119].start |
2910.02346875 |
transcript.pyannote[119].end |
2923.35471875 |
transcript.pyannote[120].speaker |
SPEAKER_08 |
transcript.pyannote[120].start |
2923.81034375 |
transcript.pyannote[120].end |
2930.34096875 |
transcript.pyannote[121].speaker |
SPEAKER_08 |
transcript.pyannote[121].start |
2930.83034375 |
transcript.pyannote[121].end |
2938.20471875 |
transcript.pyannote[122].speaker |
SPEAKER_08 |
transcript.pyannote[122].start |
2938.81221875 |
transcript.pyannote[122].end |
2963.36534375 |
transcript.pyannote[123].speaker |
SPEAKER_08 |
transcript.pyannote[123].start |
2964.04034375 |
transcript.pyannote[123].end |
2971.56659375 |
transcript.pyannote[124].speaker |
SPEAKER_08 |
transcript.pyannote[124].start |
2971.80284375 |
transcript.pyannote[124].end |
2980.79721875 |
transcript.pyannote[125].speaker |
SPEAKER_08 |
transcript.pyannote[125].start |
2981.37096875 |
transcript.pyannote[125].end |
2989.62284375 |
transcript.pyannote[126].speaker |
SPEAKER_08 |
transcript.pyannote[126].start |
2990.17971875 |
transcript.pyannote[126].end |
2999.03909375 |
transcript.pyannote[127].speaker |
SPEAKER_08 |
transcript.pyannote[127].start |
2999.07284375 |
transcript.pyannote[127].end |
3002.26221875 |
transcript.pyannote[128].speaker |
SPEAKER_08 |
transcript.pyannote[128].start |
3002.61659375 |
transcript.pyannote[128].end |
3005.97471875 |
transcript.pyannote[129].speaker |
SPEAKER_08 |
transcript.pyannote[129].start |
3006.61596875 |
transcript.pyannote[129].end |
3029.61659375 |
transcript.pyannote[130].speaker |
SPEAKER_08 |
transcript.pyannote[130].start |
3031.25346875 |
transcript.pyannote[130].end |
3042.23909375 |
transcript.pyannote[131].speaker |
SPEAKER_08 |
transcript.pyannote[131].start |
3042.42471875 |
transcript.pyannote[131].end |
3094.16346875 |
transcript.pyannote[132].speaker |
SPEAKER_10 |
transcript.pyannote[132].start |
3093.72471875 |
transcript.pyannote[132].end |
3105.50346875 |
transcript.pyannote[133].speaker |
SPEAKER_10 |
transcript.pyannote[133].start |
3106.06034375 |
transcript.pyannote[133].end |
3139.81034375 |
transcript.pyannote[134].speaker |
SPEAKER_08 |
transcript.pyannote[134].start |
3138.34221875 |
transcript.pyannote[134].end |
3143.40471875 |
transcript.pyannote[135].speaker |
SPEAKER_07 |
transcript.pyannote[135].start |
3141.73409375 |
transcript.pyannote[135].end |
3143.33721875 |
transcript.pyannote[136].speaker |
SPEAKER_07 |
transcript.pyannote[136].start |
3143.40471875 |
transcript.pyannote[136].end |
3143.75909375 |
transcript.pyannote[137].speaker |
SPEAKER_08 |
transcript.pyannote[137].start |
3143.75909375 |
transcript.pyannote[137].end |
3150.22221875 |
transcript.pyannote[138].speaker |
SPEAKER_07 |
transcript.pyannote[138].start |
3143.86034375 |
transcript.pyannote[138].end |
3147.48846875 |
transcript.pyannote[139].speaker |
SPEAKER_07 |
transcript.pyannote[139].start |
3147.80909375 |
transcript.pyannote[139].end |
3150.81284375 |
transcript.pyannote[140].speaker |
SPEAKER_08 |
transcript.pyannote[140].start |
3150.81284375 |
transcript.pyannote[140].end |
3150.88034375 |
transcript.pyannote[141].speaker |
SPEAKER_07 |
transcript.pyannote[141].start |
3151.35284375 |
transcript.pyannote[141].end |
3152.04471875 |
transcript.pyannote[142].speaker |
SPEAKER_07 |
transcript.pyannote[142].start |
3153.34409375 |
transcript.pyannote[142].end |
3153.73221875 |
transcript.pyannote[143].speaker |
SPEAKER_07 |
transcript.pyannote[143].start |
3155.74034375 |
transcript.pyannote[143].end |
3159.03096875 |
transcript.pyannote[144].speaker |
SPEAKER_04 |
transcript.pyannote[144].start |
3167.65409375 |
transcript.pyannote[144].end |
3169.71284375 |
transcript.pyannote[145].speaker |
SPEAKER_07 |
transcript.pyannote[145].start |
3167.80596875 |
transcript.pyannote[145].end |
3168.00846875 |
transcript.pyannote[146].speaker |
SPEAKER_07 |
transcript.pyannote[146].start |
3170.06721875 |
transcript.pyannote[146].end |
3170.89409375 |
transcript.pyannote[147].speaker |
SPEAKER_10 |
transcript.pyannote[147].start |
3176.64846875 |
transcript.pyannote[147].end |
3177.10409375 |
transcript.pyannote[148].speaker |
SPEAKER_04 |
transcript.pyannote[148].start |
3177.13784375 |
transcript.pyannote[148].end |
3180.32721875 |
transcript.pyannote[149].speaker |
SPEAKER_04 |
transcript.pyannote[149].start |
3180.68159375 |
transcript.pyannote[149].end |
3188.49471875 |
transcript.pyannote[150].speaker |
SPEAKER_04 |
transcript.pyannote[150].start |
3188.81534375 |
transcript.pyannote[150].end |
3190.16534375 |
transcript.pyannote[151].speaker |
SPEAKER_04 |
transcript.pyannote[151].start |
3191.43096875 |
transcript.pyannote[151].end |
3213.14909375 |
transcript.pyannote[152].speaker |
SPEAKER_13 |
transcript.pyannote[152].start |
3204.98159375 |
transcript.pyannote[152].end |
3205.25159375 |
transcript.pyannote[153].speaker |
SPEAKER_13 |
transcript.pyannote[153].start |
3206.36534375 |
transcript.pyannote[153].end |
3207.34409375 |
transcript.pyannote[154].speaker |
SPEAKER_13 |
transcript.pyannote[154].start |
3213.14909375 |
transcript.pyannote[154].end |
3213.33471875 |
transcript.pyannote[155].speaker |
SPEAKER_04 |
transcript.pyannote[155].start |
3213.33471875 |
transcript.pyannote[155].end |
3216.65909375 |
transcript.pyannote[156].speaker |
SPEAKER_13 |
transcript.pyannote[156].start |
3213.36846875 |
transcript.pyannote[156].end |
3213.40221875 |
transcript.pyannote[157].speaker |
SPEAKER_04 |
transcript.pyannote[157].start |
3217.31721875 |
transcript.pyannote[157].end |
3224.52284375 |
transcript.pyannote[158].speaker |
SPEAKER_04 |
transcript.pyannote[158].start |
3224.89409375 |
transcript.pyannote[158].end |
3232.38659375 |
transcript.pyannote[159].speaker |
SPEAKER_10 |
transcript.pyannote[159].start |
3229.46721875 |
transcript.pyannote[159].end |
3230.59784375 |
transcript.pyannote[160].speaker |
SPEAKER_10 |
transcript.pyannote[160].start |
3232.38659375 |
transcript.pyannote[160].end |
3233.92221875 |
transcript.pyannote[161].speaker |
SPEAKER_04 |
transcript.pyannote[161].start |
3234.17534375 |
transcript.pyannote[161].end |
3239.59221875 |
transcript.pyannote[162].speaker |
SPEAKER_10 |
transcript.pyannote[162].start |
3235.20471875 |
transcript.pyannote[162].end |
3235.33971875 |
transcript.pyannote[163].speaker |
SPEAKER_10 |
transcript.pyannote[163].start |
3235.35659375 |
transcript.pyannote[163].end |
3235.37346875 |
transcript.pyannote[164].speaker |
SPEAKER_10 |
transcript.pyannote[164].start |
3238.12409375 |
transcript.pyannote[164].end |
3240.06471875 |
transcript.pyannote[165].speaker |
SPEAKER_04 |
transcript.pyannote[165].start |
3240.08159375 |
transcript.pyannote[165].end |
3241.49909375 |
transcript.pyannote[166].speaker |
SPEAKER_10 |
transcript.pyannote[166].start |
3241.51596875 |
transcript.pyannote[166].end |
3260.17971875 |
transcript.pyannote[167].speaker |
SPEAKER_04 |
transcript.pyannote[167].start |
3259.09971875 |
transcript.pyannote[167].end |
3262.25534375 |
transcript.pyannote[168].speaker |
SPEAKER_10 |
transcript.pyannote[168].start |
3262.25534375 |
transcript.pyannote[168].end |
3266.08596875 |
transcript.pyannote[169].speaker |
SPEAKER_04 |
transcript.pyannote[169].start |
3262.32284375 |
transcript.pyannote[169].end |
3262.35659375 |
transcript.pyannote[170].speaker |
SPEAKER_04 |
transcript.pyannote[170].start |
3264.17909375 |
transcript.pyannote[170].end |
3265.56284375 |
transcript.pyannote[171].speaker |
SPEAKER_04 |
transcript.pyannote[171].start |
3266.08596875 |
transcript.pyannote[171].end |
3266.30534375 |
transcript.pyannote[172].speaker |
SPEAKER_10 |
transcript.pyannote[172].start |
3266.18721875 |
transcript.pyannote[172].end |
3270.67596875 |
transcript.pyannote[173].speaker |
SPEAKER_04 |
transcript.pyannote[173].start |
3270.77721875 |
transcript.pyannote[173].end |
3279.36659375 |
transcript.pyannote[174].speaker |
SPEAKER_13 |
transcript.pyannote[174].start |
3275.40096875 |
transcript.pyannote[174].end |
3275.77221875 |
transcript.pyannote[175].speaker |
SPEAKER_13 |
transcript.pyannote[175].start |
3276.02534375 |
transcript.pyannote[175].end |
3276.07596875 |
transcript.pyannote[176].speaker |
SPEAKER_13 |
transcript.pyannote[176].start |
3278.03346875 |
transcript.pyannote[176].end |
3279.45096875 |
transcript.pyannote[177].speaker |
SPEAKER_04 |
transcript.pyannote[177].start |
3279.70409375 |
transcript.pyannote[177].end |
3282.67409375 |
transcript.pyannote[178].speaker |
SPEAKER_04 |
transcript.pyannote[178].start |
3282.89346875 |
transcript.pyannote[178].end |
3295.85346875 |
transcript.pyannote[179].speaker |
SPEAKER_04 |
transcript.pyannote[179].start |
3296.02221875 |
transcript.pyannote[179].end |
3306.13034375 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
3298.97534375 |
transcript.pyannote[180].end |
3299.09346875 |
transcript.pyannote[181].speaker |
SPEAKER_04 |
transcript.pyannote[181].start |
3306.40034375 |
transcript.pyannote[181].end |
3306.97409375 |
transcript.pyannote[182].speaker |
SPEAKER_04 |
transcript.pyannote[182].start |
3307.26096875 |
transcript.pyannote[182].end |
3308.99909375 |
transcript.pyannote[183].speaker |
SPEAKER_04 |
transcript.pyannote[183].start |
3309.70784375 |
transcript.pyannote[183].end |
3314.34846875 |
transcript.pyannote[184].speaker |
SPEAKER_04 |
transcript.pyannote[184].start |
3314.56784375 |
transcript.pyannote[184].end |
3315.46221875 |
transcript.pyannote[185].speaker |
SPEAKER_04 |
transcript.pyannote[185].start |
3315.66471875 |
transcript.pyannote[185].end |
3318.41534375 |
transcript.pyannote[186].speaker |
SPEAKER_04 |
transcript.pyannote[186].start |
3318.83721875 |
transcript.pyannote[186].end |
3337.99034375 |
transcript.pyannote[187].speaker |
SPEAKER_13 |
transcript.pyannote[187].start |
3337.65284375 |
transcript.pyannote[187].end |
3338.04096875 |
transcript.pyannote[188].speaker |
SPEAKER_04 |
transcript.pyannote[188].start |
3338.86784375 |
transcript.pyannote[188].end |
3344.23409375 |
transcript.pyannote[189].speaker |
SPEAKER_04 |
transcript.pyannote[189].start |
3344.63909375 |
transcript.pyannote[189].end |
3345.02721875 |
transcript.pyannote[190].speaker |
SPEAKER_04 |
transcript.pyannote[190].start |
3345.33096875 |
transcript.pyannote[190].end |
3352.92471875 |
transcript.pyannote[191].speaker |
SPEAKER_13 |
transcript.pyannote[191].start |
3352.92471875 |
transcript.pyannote[191].end |
3353.24534375 |
transcript.pyannote[192].speaker |
SPEAKER_04 |
transcript.pyannote[192].start |
3353.58284375 |
transcript.pyannote[192].end |
3356.85659375 |
transcript.pyannote[193].speaker |
SPEAKER_04 |
transcript.pyannote[193].start |
3357.17721875 |
transcript.pyannote[193].end |
3362.76284375 |
transcript.pyannote[194].speaker |
SPEAKER_04 |
transcript.pyannote[194].start |
3362.89784375 |
transcript.pyannote[194].end |
3364.28159375 |
transcript.pyannote[195].speaker |
SPEAKER_04 |
transcript.pyannote[195].start |
3364.46721875 |
transcript.pyannote[195].end |
3388.21034375 |
transcript.pyannote[196].speaker |
SPEAKER_04 |
transcript.pyannote[196].start |
3388.78409375 |
transcript.pyannote[196].end |
3392.12534375 |
transcript.pyannote[197].speaker |
SPEAKER_04 |
transcript.pyannote[197].start |
3392.73284375 |
transcript.pyannote[197].end |
3417.25221875 |
transcript.pyannote[198].speaker |
SPEAKER_04 |
transcript.pyannote[198].start |
3418.29846875 |
transcript.pyannote[198].end |
3428.03534375 |
transcript.pyannote[199].speaker |
SPEAKER_04 |
transcript.pyannote[199].start |
3428.72721875 |
transcript.pyannote[199].end |
3444.31971875 |
transcript.pyannote[200].speaker |
SPEAKER_02 |
transcript.pyannote[200].start |
3430.66784375 |
transcript.pyannote[200].end |
3431.00534375 |
transcript.pyannote[201].speaker |
SPEAKER_04 |
transcript.pyannote[201].start |
3444.45471875 |
transcript.pyannote[201].end |
3450.51284375 |
transcript.pyannote[202].speaker |
SPEAKER_04 |
transcript.pyannote[202].start |
3450.88409375 |
transcript.pyannote[202].end |
3451.44096875 |
transcript.pyannote[203].speaker |
SPEAKER_04 |
transcript.pyannote[203].start |
3451.94721875 |
transcript.pyannote[203].end |
3458.56221875 |
transcript.pyannote[204].speaker |
SPEAKER_04 |
transcript.pyannote[204].start |
3459.65909375 |
transcript.pyannote[204].end |
3461.88659375 |
transcript.pyannote[205].speaker |
SPEAKER_04 |
transcript.pyannote[205].start |
3462.17346875 |
transcript.pyannote[205].end |
3467.03346875 |
transcript.pyannote[206].speaker |
SPEAKER_04 |
transcript.pyannote[206].start |
3467.60721875 |
transcript.pyannote[206].end |
3470.47596875 |
transcript.pyannote[207].speaker |
SPEAKER_04 |
transcript.pyannote[207].start |
3470.76284375 |
transcript.pyannote[207].end |
3485.42721875 |
transcript.pyannote[208].speaker |
SPEAKER_13 |
transcript.pyannote[208].start |
3481.88346875 |
transcript.pyannote[208].end |
3482.25471875 |
transcript.pyannote[209].speaker |
SPEAKER_04 |
transcript.pyannote[209].start |
3485.88284375 |
transcript.pyannote[209].end |
3492.61596875 |
transcript.pyannote[210].speaker |
SPEAKER_04 |
transcript.pyannote[210].start |
3493.13909375 |
transcript.pyannote[210].end |
3495.14721875 |
transcript.pyannote[211].speaker |
SPEAKER_04 |
transcript.pyannote[211].start |
3495.51846875 |
transcript.pyannote[211].end |
3498.20159375 |
transcript.pyannote[212].speaker |
SPEAKER_04 |
transcript.pyannote[212].start |
3498.30284375 |
transcript.pyannote[212].end |
3502.60596875 |
transcript.pyannote[213].speaker |
SPEAKER_04 |
transcript.pyannote[213].start |
3502.94346875 |
transcript.pyannote[213].end |
3512.59596875 |
transcript.pyannote[214].speaker |
SPEAKER_04 |
transcript.pyannote[214].start |
3512.98409375 |
transcript.pyannote[214].end |
3519.21096875 |
transcript.pyannote[215].speaker |
SPEAKER_10 |
transcript.pyannote[215].start |
3517.06784375 |
transcript.pyannote[215].end |
3517.35471875 |
transcript.pyannote[216].speaker |
SPEAKER_10 |
transcript.pyannote[216].start |
3518.16471875 |
transcript.pyannote[216].end |
3528.84659375 |
transcript.pyannote[217].speaker |
SPEAKER_10 |
transcript.pyannote[217].start |
3529.13346875 |
transcript.pyannote[217].end |
3550.64909375 |
transcript.pyannote[218].speaker |
SPEAKER_13 |
transcript.pyannote[218].start |
3546.36284375 |
transcript.pyannote[218].end |
3549.14721875 |
transcript.pyannote[219].speaker |
SPEAKER_13 |
transcript.pyannote[219].start |
3550.39596875 |
transcript.pyannote[219].end |
3550.75034375 |
transcript.pyannote[220].speaker |
SPEAKER_10 |
transcript.pyannote[220].start |
3550.75034375 |
transcript.pyannote[220].end |
3565.39784375 |
transcript.pyannote[221].speaker |
SPEAKER_04 |
transcript.pyannote[221].start |
3564.65534375 |
transcript.pyannote[221].end |
3568.46909375 |
transcript.pyannote[222].speaker |
SPEAKER_04 |
transcript.pyannote[222].start |
3568.63784375 |
transcript.pyannote[222].end |
3577.41284375 |
transcript.pyannote[223].speaker |
SPEAKER_10 |
transcript.pyannote[223].start |
3576.43409375 |
transcript.pyannote[223].end |
3576.82221875 |
transcript.pyannote[224].speaker |
SPEAKER_10 |
transcript.pyannote[224].start |
3577.44659375 |
transcript.pyannote[224].end |
3582.30659375 |
transcript.pyannote[225].speaker |
SPEAKER_10 |
transcript.pyannote[225].start |
3582.50909375 |
transcript.pyannote[225].end |
3585.42846875 |
transcript.pyannote[226].speaker |
SPEAKER_10 |
transcript.pyannote[226].start |
3585.79971875 |
transcript.pyannote[226].end |
3587.90909375 |
transcript.pyannote[227].speaker |
SPEAKER_10 |
transcript.pyannote[227].start |
3588.21284375 |
transcript.pyannote[227].end |
3596.21159375 |
transcript.pyannote[228].speaker |
SPEAKER_04 |
transcript.pyannote[228].start |
3595.99221875 |
transcript.pyannote[228].end |
3606.06659375 |
transcript.pyannote[229].speaker |
SPEAKER_10 |
transcript.pyannote[229].start |
3598.28721875 |
transcript.pyannote[229].end |
3598.79346875 |
transcript.pyannote[230].speaker |
SPEAKER_10 |
transcript.pyannote[230].start |
3605.32409375 |
transcript.pyannote[230].end |
3607.51784375 |
transcript.pyannote[231].speaker |
SPEAKER_04 |
transcript.pyannote[231].start |
3607.88909375 |
transcript.pyannote[231].end |
3610.26846875 |
transcript.pyannote[232].speaker |
SPEAKER_10 |
transcript.pyannote[232].start |
3609.55971875 |
transcript.pyannote[232].end |
3611.80409375 |
transcript.pyannote[233].speaker |
SPEAKER_04 |
transcript.pyannote[233].start |
3611.04471875 |
transcript.pyannote[233].end |
3618.57096875 |
transcript.pyannote[234].speaker |
SPEAKER_10 |
transcript.pyannote[234].start |
3613.66034375 |
transcript.pyannote[234].end |
3614.70659375 |
transcript.pyannote[235].speaker |
SPEAKER_10 |
transcript.pyannote[235].start |
3617.11971875 |
transcript.pyannote[235].end |
3618.52034375 |
transcript.pyannote[236].speaker |
SPEAKER_10 |
transcript.pyannote[236].start |
3618.57096875 |
transcript.pyannote[236].end |
3619.06034375 |
transcript.pyannote[237].speaker |
SPEAKER_04 |
transcript.pyannote[237].start |
3619.11096875 |
transcript.pyannote[237].end |
3622.03034375 |
transcript.pyannote[238].speaker |
SPEAKER_10 |
transcript.pyannote[238].start |
3622.24971875 |
transcript.pyannote[238].end |
3627.66659375 |
transcript.pyannote[239].speaker |
SPEAKER_10 |
transcript.pyannote[239].start |
3627.88596875 |
transcript.pyannote[239].end |
3634.36596875 |
transcript.pyannote[240].speaker |
SPEAKER_10 |
transcript.pyannote[240].start |
3634.60221875 |
transcript.pyannote[240].end |
3641.21721875 |
transcript.pyannote[241].speaker |
SPEAKER_04 |
transcript.pyannote[241].start |
3640.82909375 |
transcript.pyannote[241].end |
3645.26721875 |
transcript.pyannote[242].speaker |
SPEAKER_10 |
transcript.pyannote[242].start |
3642.34784375 |
transcript.pyannote[242].end |
3648.30471875 |
transcript.pyannote[243].speaker |
SPEAKER_04 |
transcript.pyannote[243].start |
3647.32596875 |
transcript.pyannote[243].end |
3650.56596875 |
transcript.pyannote[244].speaker |
SPEAKER_10 |
transcript.pyannote[244].start |
3650.21159375 |
transcript.pyannote[244].end |
3655.44284375 |
transcript.pyannote[245].speaker |
SPEAKER_04 |
transcript.pyannote[245].start |
3652.18596875 |
transcript.pyannote[245].end |
3655.89846875 |
transcript.pyannote[246].speaker |
SPEAKER_04 |
transcript.pyannote[246].start |
3656.18534375 |
transcript.pyannote[246].end |
3656.64096875 |
transcript.pyannote[247].speaker |
SPEAKER_04 |
transcript.pyannote[247].start |
3657.04596875 |
transcript.pyannote[247].end |
3678.96659375 |
transcript.pyannote[248].speaker |
SPEAKER_10 |
transcript.pyannote[248].start |
3658.07534375 |
transcript.pyannote[248].end |
3658.58159375 |
transcript.pyannote[249].speaker |
SPEAKER_13 |
transcript.pyannote[249].start |
3658.58159375 |
transcript.pyannote[249].end |
3658.63221875 |
transcript.pyannote[250].speaker |
SPEAKER_00 |
transcript.pyannote[250].start |
3661.11284375 |
transcript.pyannote[250].end |
3661.12971875 |
transcript.pyannote[251].speaker |
SPEAKER_13 |
transcript.pyannote[251].start |
3661.12971875 |
transcript.pyannote[251].end |
3661.53471875 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
3668.70659375 |
transcript.pyannote[252].end |
3669.12846875 |
transcript.pyannote[253].speaker |
SPEAKER_10 |
transcript.pyannote[253].start |
3678.25784375 |
transcript.pyannote[253].end |
3689.15909375 |
transcript.pyannote[254].speaker |
SPEAKER_04 |
transcript.pyannote[254].start |
3685.68284375 |
transcript.pyannote[254].end |
3685.85159375 |
transcript.pyannote[255].speaker |
SPEAKER_04 |
transcript.pyannote[255].start |
3687.75846875 |
transcript.pyannote[255].end |
3687.84284375 |
transcript.pyannote[256].speaker |
SPEAKER_04 |
transcript.pyannote[256].start |
3688.07909375 |
transcript.pyannote[256].end |
3688.19721875 |
transcript.pyannote[257].speaker |
SPEAKER_07 |
transcript.pyannote[257].start |
3689.02409375 |
transcript.pyannote[257].end |
3690.08721875 |
transcript.pyannote[258].speaker |
SPEAKER_10 |
transcript.pyannote[258].start |
3689.41221875 |
transcript.pyannote[258].end |
3689.69909375 |
transcript.pyannote[259].speaker |
SPEAKER_07 |
transcript.pyannote[259].start |
3691.89284375 |
transcript.pyannote[259].end |
3692.68596875 |
transcript.pyannote[260].speaker |
SPEAKER_07 |
transcript.pyannote[260].start |
3694.77846875 |
transcript.pyannote[260].end |
3697.05659375 |
transcript.pyannote[261].speaker |
SPEAKER_07 |
transcript.pyannote[261].start |
3701.98409375 |
transcript.pyannote[261].end |
3703.82346875 |
transcript.pyannote[262].speaker |
SPEAKER_10 |
transcript.pyannote[262].start |
3707.92409375 |
transcript.pyannote[262].end |
3710.08409375 |
transcript.pyannote[263].speaker |
SPEAKER_07 |
transcript.pyannote[263].start |
3710.53971875 |
transcript.pyannote[263].end |
3711.53534375 |
transcript.pyannote[264].speaker |
SPEAKER_10 |
transcript.pyannote[264].start |
3717.61034375 |
transcript.pyannote[264].end |
3718.03221875 |
transcript.pyannote[265].speaker |
SPEAKER_10 |
transcript.pyannote[265].start |
3718.57221875 |
transcript.pyannote[265].end |
3719.53409375 |
transcript.pyannote[266].speaker |
SPEAKER_10 |
transcript.pyannote[266].start |
3720.81659375 |
transcript.pyannote[266].end |
3726.41909375 |
transcript.pyannote[267].speaker |
SPEAKER_10 |
transcript.pyannote[267].start |
3727.70159375 |
transcript.pyannote[267].end |
3729.89534375 |
transcript.pyannote[268].speaker |
SPEAKER_10 |
transcript.pyannote[268].start |
3730.19909375 |
transcript.pyannote[268].end |
3734.80596875 |
transcript.pyannote[269].speaker |
SPEAKER_00 |
transcript.pyannote[269].start |
3731.68409375 |
transcript.pyannote[269].end |
3732.03846875 |
transcript.pyannote[270].speaker |
SPEAKER_17 |
transcript.pyannote[270].start |
3732.03846875 |
transcript.pyannote[270].end |
3733.03409375 |
transcript.pyannote[271].speaker |
SPEAKER_17 |
transcript.pyannote[271].start |
3734.80596875 |
transcript.pyannote[271].end |
3734.82284375 |
transcript.pyannote[272].speaker |
SPEAKER_10 |
transcript.pyannote[272].start |
3735.43034375 |
transcript.pyannote[272].end |
3738.78846875 |
transcript.pyannote[273].speaker |
SPEAKER_10 |
transcript.pyannote[273].start |
3739.14284375 |
transcript.pyannote[273].end |
3741.42096875 |
transcript.pyannote[274].speaker |
SPEAKER_10 |
transcript.pyannote[274].start |
3741.96096875 |
transcript.pyannote[274].end |
3742.55159375 |
transcript.pyannote[275].speaker |
SPEAKER_17 |
transcript.pyannote[275].start |
3742.28159375 |
transcript.pyannote[275].end |
3743.39534375 |
transcript.pyannote[276].speaker |
SPEAKER_10 |
transcript.pyannote[276].start |
3744.01971875 |
transcript.pyannote[276].end |
3745.20096875 |
transcript.pyannote[277].speaker |
SPEAKER_10 |
transcript.pyannote[277].start |
3745.70721875 |
transcript.pyannote[277].end |
3747.00659375 |
transcript.pyannote[278].speaker |
SPEAKER_17 |
transcript.pyannote[278].start |
3745.85909375 |
transcript.pyannote[278].end |
3747.02346875 |
transcript.pyannote[279].speaker |
SPEAKER_10 |
transcript.pyannote[279].start |
3747.02346875 |
transcript.pyannote[279].end |
3747.05721875 |
transcript.pyannote[280].speaker |
SPEAKER_17 |
transcript.pyannote[280].start |
3747.05721875 |
transcript.pyannote[280].end |
3747.20909375 |
transcript.pyannote[281].speaker |
SPEAKER_10 |
transcript.pyannote[281].start |
3747.20909375 |
transcript.pyannote[281].end |
3747.68159375 |
transcript.pyannote[282].speaker |
SPEAKER_10 |
transcript.pyannote[282].start |
3747.93471875 |
transcript.pyannote[282].end |
3749.30159375 |
transcript.pyannote[283].speaker |
SPEAKER_10 |
transcript.pyannote[283].start |
3749.31846875 |
transcript.pyannote[283].end |
3752.42346875 |
transcript.pyannote[284].speaker |
SPEAKER_17 |
transcript.pyannote[284].start |
3752.82846875 |
transcript.pyannote[284].end |
3755.56221875 |
transcript.pyannote[285].speaker |
SPEAKER_10 |
transcript.pyannote[285].start |
3756.38909375 |
transcript.pyannote[285].end |
3759.44346875 |
transcript.pyannote[286].speaker |
SPEAKER_17 |
transcript.pyannote[286].start |
3756.84471875 |
transcript.pyannote[286].end |
3757.16534375 |
transcript.pyannote[287].speaker |
SPEAKER_17 |
transcript.pyannote[287].start |
3758.38034375 |
transcript.pyannote[287].end |
3760.30409375 |
transcript.pyannote[288].speaker |
SPEAKER_17 |
transcript.pyannote[288].start |
3760.40534375 |
transcript.pyannote[288].end |
3761.56971875 |
transcript.pyannote[289].speaker |
SPEAKER_10 |
transcript.pyannote[289].start |
3763.20659375 |
transcript.pyannote[289].end |
3764.30346875 |
transcript.pyannote[290].speaker |
SPEAKER_17 |
transcript.pyannote[290].start |
3764.75909375 |
transcript.pyannote[290].end |
3770.68221875 |
transcript.pyannote[291].speaker |
SPEAKER_10 |
transcript.pyannote[291].start |
3766.49721875 |
transcript.pyannote[291].end |
3766.91909375 |
transcript.pyannote[292].speaker |
SPEAKER_10 |
transcript.pyannote[292].start |
3768.20159375 |
transcript.pyannote[292].end |
3768.67409375 |
transcript.pyannote[293].speaker |
SPEAKER_10 |
transcript.pyannote[293].start |
3770.14221875 |
transcript.pyannote[293].end |
3781.21221875 |
transcript.pyannote[294].speaker |
SPEAKER_17 |
transcript.pyannote[294].start |
3780.62159375 |
transcript.pyannote[294].end |
3785.26221875 |
transcript.pyannote[295].speaker |
SPEAKER_10 |
transcript.pyannote[295].start |
3785.26221875 |
transcript.pyannote[295].end |
3785.61659375 |
transcript.pyannote[296].speaker |
SPEAKER_17 |
transcript.pyannote[296].start |
3785.59971875 |
transcript.pyannote[296].end |
3787.30409375 |
transcript.pyannote[297].speaker |
SPEAKER_10 |
transcript.pyannote[297].start |
3787.30409375 |
transcript.pyannote[297].end |
3787.60784375 |
transcript.pyannote[298].speaker |
SPEAKER_17 |
transcript.pyannote[298].start |
3787.52346875 |
transcript.pyannote[298].end |
3790.89846875 |
transcript.pyannote[299].speaker |
SPEAKER_17 |
transcript.pyannote[299].start |
3790.96596875 |
transcript.pyannote[299].end |
3791.42159375 |
transcript.pyannote[300].speaker |
SPEAKER_17 |
transcript.pyannote[300].start |
3792.56909375 |
transcript.pyannote[300].end |
3798.54284375 |
transcript.pyannote[301].speaker |
SPEAKER_17 |
transcript.pyannote[301].start |
3799.20096875 |
transcript.pyannote[301].end |
3801.68159375 |
transcript.pyannote[302].speaker |
SPEAKER_17 |
transcript.pyannote[302].start |
3801.98534375 |
transcript.pyannote[302].end |
3803.45346875 |
transcript.pyannote[303].speaker |
SPEAKER_17 |
transcript.pyannote[303].start |
3804.17909375 |
transcript.pyannote[303].end |
3805.15784375 |
transcript.pyannote[304].speaker |
SPEAKER_17 |
transcript.pyannote[304].start |
3805.69784375 |
transcript.pyannote[304].end |
3806.94659375 |
transcript.pyannote[305].speaker |
SPEAKER_17 |
transcript.pyannote[305].start |
3807.30096875 |
transcript.pyannote[305].end |
3808.65096875 |
transcript.pyannote[306].speaker |
SPEAKER_17 |
transcript.pyannote[306].start |
3809.07284375 |
transcript.pyannote[306].end |
3811.68846875 |
transcript.pyannote[307].speaker |
SPEAKER_17 |
transcript.pyannote[307].start |
3812.83596875 |
transcript.pyannote[307].end |
3814.57409375 |
transcript.pyannote[308].speaker |
SPEAKER_17 |
transcript.pyannote[308].start |
3815.11409375 |
transcript.pyannote[308].end |
3817.29096875 |
transcript.pyannote[309].speaker |
SPEAKER_17 |
transcript.pyannote[309].start |
3818.64096875 |
transcript.pyannote[309].end |
3822.01596875 |
transcript.pyannote[310].speaker |
SPEAKER_17 |
transcript.pyannote[310].start |
3823.04534375 |
transcript.pyannote[310].end |
3824.61471875 |
transcript.pyannote[311].speaker |
SPEAKER_10 |
transcript.pyannote[311].start |
3824.61471875 |
transcript.pyannote[311].end |
3836.86596875 |
transcript.pyannote[312].speaker |
SPEAKER_10 |
transcript.pyannote[312].start |
3837.01784375 |
transcript.pyannote[312].end |
3838.28346875 |
transcript.pyannote[313].speaker |
SPEAKER_17 |
transcript.pyannote[313].start |
3838.73909375 |
transcript.pyannote[313].end |
3839.46471875 |
transcript.pyannote[314].speaker |
SPEAKER_17 |
transcript.pyannote[314].start |
3839.90346875 |
transcript.pyannote[314].end |
3841.00034375 |
transcript.pyannote[315].speaker |
SPEAKER_17 |
transcript.pyannote[315].start |
3841.52346875 |
transcript.pyannote[315].end |
3843.26159375 |
transcript.pyannote[316].speaker |
SPEAKER_17 |
transcript.pyannote[316].start |
3843.76784375 |
transcript.pyannote[316].end |
3847.98659375 |
transcript.pyannote[317].speaker |
SPEAKER_17 |
transcript.pyannote[317].start |
3848.62784375 |
transcript.pyannote[317].end |
3849.38721875 |
transcript.pyannote[318].speaker |
SPEAKER_17 |
transcript.pyannote[318].start |
3849.94409375 |
transcript.pyannote[318].end |
3850.82159375 |
transcript.pyannote[319].speaker |
SPEAKER_17 |
transcript.pyannote[319].start |
3851.24346875 |
transcript.pyannote[319].end |
3852.59346875 |
transcript.pyannote[320].speaker |
SPEAKER_17 |
transcript.pyannote[320].start |
3852.91409375 |
transcript.pyannote[320].end |
3854.02784375 |
transcript.pyannote[321].speaker |
SPEAKER_17 |
transcript.pyannote[321].start |
3854.83784375 |
transcript.pyannote[321].end |
3856.37346875 |
transcript.pyannote[322].speaker |
SPEAKER_17 |
transcript.pyannote[322].start |
3856.87971875 |
transcript.pyannote[322].end |
3858.09471875 |
transcript.pyannote[323].speaker |
SPEAKER_17 |
transcript.pyannote[323].start |
3858.63471875 |
transcript.pyannote[323].end |
3859.15784375 |
transcript.pyannote[324].speaker |
SPEAKER_17 |
transcript.pyannote[324].start |
3859.34346875 |
transcript.pyannote[324].end |
3860.03534375 |
transcript.pyannote[325].speaker |
SPEAKER_17 |
transcript.pyannote[325].start |
3860.50784375 |
transcript.pyannote[325].end |
3861.55409375 |
transcript.pyannote[326].speaker |
SPEAKER_17 |
transcript.pyannote[326].start |
3862.21221875 |
transcript.pyannote[326].end |
3865.90784375 |
transcript.pyannote[327].speaker |
SPEAKER_10 |
transcript.pyannote[327].start |
3867.94971875 |
transcript.pyannote[327].end |
3875.57721875 |
transcript.pyannote[328].speaker |
SPEAKER_17 |
transcript.pyannote[328].start |
3872.67471875 |
transcript.pyannote[328].end |
3874.32846875 |
transcript.pyannote[329].speaker |
SPEAKER_17 |
transcript.pyannote[329].start |
3875.12159375 |
transcript.pyannote[329].end |
3878.31096875 |
transcript.pyannote[330].speaker |
SPEAKER_17 |
transcript.pyannote[330].start |
3878.53034375 |
transcript.pyannote[330].end |
3880.25159375 |
transcript.pyannote[331].speaker |
SPEAKER_17 |
transcript.pyannote[331].start |
3880.31909375 |
transcript.pyannote[331].end |
3883.71096875 |
transcript.pyannote[332].speaker |
SPEAKER_10 |
transcript.pyannote[332].start |
3885.12846875 |
transcript.pyannote[332].end |
3886.20846875 |
transcript.pyannote[333].speaker |
SPEAKER_10 |
transcript.pyannote[333].start |
3886.52909375 |
transcript.pyannote[333].end |
3886.54596875 |
transcript.pyannote[334].speaker |
SPEAKER_17 |
transcript.pyannote[334].start |
3886.54596875 |
transcript.pyannote[334].end |
3886.96784375 |
transcript.pyannote[335].speaker |
SPEAKER_10 |
transcript.pyannote[335].start |
3886.96784375 |
transcript.pyannote[335].end |
3887.03534375 |
transcript.pyannote[336].speaker |
SPEAKER_17 |
transcript.pyannote[336].start |
3887.03534375 |
transcript.pyannote[336].end |
3887.52471875 |
transcript.pyannote[337].speaker |
SPEAKER_10 |
transcript.pyannote[337].start |
3887.52471875 |
transcript.pyannote[337].end |
3887.54159375 |
transcript.pyannote[338].speaker |
SPEAKER_10 |
transcript.pyannote[338].start |
3887.87909375 |
transcript.pyannote[338].end |
3890.05596875 |
transcript.pyannote[339].speaker |
SPEAKER_17 |
transcript.pyannote[339].start |
3890.25846875 |
transcript.pyannote[339].end |
3891.87846875 |
transcript.pyannote[340].speaker |
SPEAKER_10 |
transcript.pyannote[340].start |
3891.52409375 |
transcript.pyannote[340].end |
3898.91534375 |
transcript.pyannote[341].speaker |
SPEAKER_17 |
transcript.pyannote[341].start |
3898.91534375 |
transcript.pyannote[341].end |
3900.87284375 |
transcript.pyannote[342].speaker |
SPEAKER_10 |
transcript.pyannote[342].start |
3901.27784375 |
transcript.pyannote[342].end |
3917.89971875 |
transcript.pyannote[343].speaker |
SPEAKER_18 |
transcript.pyannote[343].start |
3917.89971875 |
transcript.pyannote[343].end |
3919.48596875 |
transcript.pyannote[344].speaker |
SPEAKER_10 |
transcript.pyannote[344].start |
3919.48596875 |
transcript.pyannote[344].end |
3925.76346875 |
transcript.pyannote[345].speaker |
SPEAKER_17 |
transcript.pyannote[345].start |
3924.95346875 |
transcript.pyannote[345].end |
3928.44659375 |
transcript.pyannote[346].speaker |
SPEAKER_17 |
transcript.pyannote[346].start |
3928.86846875 |
transcript.pyannote[346].end |
3934.52159375 |
transcript.pyannote[347].speaker |
SPEAKER_17 |
transcript.pyannote[347].start |
3935.04471875 |
transcript.pyannote[347].end |
3936.36096875 |
transcript.pyannote[348].speaker |
SPEAKER_17 |
transcript.pyannote[348].start |
3937.03596875 |
transcript.pyannote[348].end |
3940.49534375 |
transcript.pyannote[349].speaker |
SPEAKER_17 |
transcript.pyannote[349].start |
3942.77346875 |
transcript.pyannote[349].end |
3944.10659375 |
transcript.pyannote[350].speaker |
SPEAKER_17 |
transcript.pyannote[350].start |
3944.41034375 |
transcript.pyannote[350].end |
3944.47784375 |
transcript.pyannote[351].speaker |
SPEAKER_10 |
transcript.pyannote[351].start |
3944.47784375 |
transcript.pyannote[351].end |
3944.71409375 |
transcript.pyannote[352].speaker |
SPEAKER_17 |
transcript.pyannote[352].start |
3944.71409375 |
transcript.pyannote[352].end |
3944.78159375 |
transcript.pyannote[353].speaker |
SPEAKER_10 |
transcript.pyannote[353].start |
3944.78159375 |
transcript.pyannote[353].end |
3944.79846875 |
transcript.pyannote[354].speaker |
SPEAKER_17 |
transcript.pyannote[354].start |
3944.79846875 |
transcript.pyannote[354].end |
3944.96721875 |
transcript.pyannote[355].speaker |
SPEAKER_10 |
transcript.pyannote[355].start |
3944.96721875 |
transcript.pyannote[355].end |
3945.49034375 |
transcript.pyannote[356].speaker |
SPEAKER_17 |
transcript.pyannote[356].start |
3945.49034375 |
transcript.pyannote[356].end |
3949.18596875 |
transcript.pyannote[357].speaker |
SPEAKER_17 |
transcript.pyannote[357].start |
3949.81034375 |
transcript.pyannote[357].end |
3951.76784375 |
transcript.pyannote[358].speaker |
SPEAKER_17 |
transcript.pyannote[358].start |
3951.83534375 |
transcript.pyannote[358].end |
3955.39596875 |
transcript.pyannote[359].speaker |
SPEAKER_10 |
transcript.pyannote[359].start |
3956.49284375 |
transcript.pyannote[359].end |
3968.67659375 |
transcript.pyannote[360].speaker |
SPEAKER_17 |
transcript.pyannote[360].start |
3966.73596875 |
transcript.pyannote[360].end |
3967.73159375 |
transcript.pyannote[361].speaker |
SPEAKER_17 |
transcript.pyannote[361].start |
3967.81596875 |
transcript.pyannote[361].end |
3970.56659375 |
transcript.pyannote[362].speaker |
SPEAKER_17 |
transcript.pyannote[362].start |
3971.08971875 |
transcript.pyannote[362].end |
3986.71596875 |
transcript.pyannote[363].speaker |
SPEAKER_10 |
transcript.pyannote[363].start |
3975.25784375 |
transcript.pyannote[363].end |
3976.38846875 |
transcript.pyannote[364].speaker |
SPEAKER_17 |
transcript.pyannote[364].start |
3988.08284375 |
transcript.pyannote[364].end |
3988.96034375 |
transcript.pyannote[365].speaker |
SPEAKER_17 |
transcript.pyannote[365].start |
3989.31471875 |
transcript.pyannote[365].end |
3989.33159375 |
transcript.pyannote[366].speaker |
SPEAKER_10 |
transcript.pyannote[366].start |
3989.33159375 |
transcript.pyannote[366].end |
3989.92221875 |
transcript.pyannote[367].speaker |
SPEAKER_17 |
transcript.pyannote[367].start |
3989.92221875 |
transcript.pyannote[367].end |
3989.97284375 |
transcript.pyannote[368].speaker |
SPEAKER_10 |
transcript.pyannote[368].start |
3989.97284375 |
transcript.pyannote[368].end |
4006.00409375 |
transcript.pyannote[369].speaker |
SPEAKER_17 |
transcript.pyannote[369].start |
4004.35034375 |
transcript.pyannote[369].end |
4010.96534375 |
transcript.pyannote[370].speaker |
SPEAKER_10 |
transcript.pyannote[370].start |
4006.12221875 |
transcript.pyannote[370].end |
4006.22346875 |
transcript.pyannote[371].speaker |
SPEAKER_10 |
transcript.pyannote[371].start |
4010.96534375 |
transcript.pyannote[371].end |
4011.03284375 |
transcript.pyannote[372].speaker |
SPEAKER_17 |
transcript.pyannote[372].start |
4011.03284375 |
transcript.pyannote[372].end |
4011.25221875 |
transcript.pyannote[373].speaker |
SPEAKER_10 |
transcript.pyannote[373].start |
4011.25221875 |
transcript.pyannote[373].end |
4018.00221875 |
transcript.pyannote[374].speaker |
SPEAKER_17 |
transcript.pyannote[374].start |
4011.70784375 |
transcript.pyannote[374].end |
4012.36596875 |
transcript.pyannote[375].speaker |
SPEAKER_17 |
transcript.pyannote[375].start |
4016.80409375 |
transcript.pyannote[375].end |
4017.86721875 |
transcript.pyannote[376].speaker |
SPEAKER_17 |
transcript.pyannote[376].start |
4017.95159375 |
transcript.pyannote[376].end |
4017.96846875 |
transcript.pyannote[377].speaker |
SPEAKER_17 |
transcript.pyannote[377].start |
4018.00221875 |
transcript.pyannote[377].end |
4018.01909375 |
transcript.pyannote[378].speaker |
SPEAKER_10 |
transcript.pyannote[378].start |
4018.01909375 |
transcript.pyannote[378].end |
4018.05284375 |
transcript.pyannote[379].speaker |
SPEAKER_17 |
transcript.pyannote[379].start |
4018.05284375 |
transcript.pyannote[379].end |
4020.65159375 |
transcript.pyannote[380].speaker |
SPEAKER_10 |
transcript.pyannote[380].start |
4020.85409375 |
transcript.pyannote[380].end |
4023.65534375 |
transcript.pyannote[381].speaker |
SPEAKER_17 |
transcript.pyannote[381].start |
4022.81159375 |
transcript.pyannote[381].end |
4028.51534375 |
transcript.pyannote[382].speaker |
SPEAKER_17 |
transcript.pyannote[382].start |
4028.98784375 |
transcript.pyannote[382].end |
4029.02159375 |
transcript.pyannote[383].speaker |
SPEAKER_10 |
transcript.pyannote[383].start |
4029.02159375 |
transcript.pyannote[383].end |
4029.30846875 |
transcript.pyannote[384].speaker |
SPEAKER_17 |
transcript.pyannote[384].start |
4029.30846875 |
transcript.pyannote[384].end |
4029.49409375 |
transcript.pyannote[385].speaker |
SPEAKER_10 |
transcript.pyannote[385].start |
4029.49409375 |
transcript.pyannote[385].end |
4030.62471875 |
transcript.pyannote[386].speaker |
SPEAKER_17 |
transcript.pyannote[386].start |
4031.33346875 |
transcript.pyannote[386].end |
4031.35034375 |
transcript.pyannote[387].speaker |
SPEAKER_10 |
transcript.pyannote[387].start |
4031.35034375 |
transcript.pyannote[387].end |
4039.70346875 |
transcript.pyannote[388].speaker |
SPEAKER_17 |
transcript.pyannote[388].start |
4033.94909375 |
transcript.pyannote[388].end |
4036.68284375 |
transcript.pyannote[389].speaker |
SPEAKER_00 |
transcript.pyannote[389].start |
4036.68284375 |
transcript.pyannote[389].end |
4036.71659375 |
transcript.pyannote[390].speaker |
SPEAKER_17 |
transcript.pyannote[390].start |
4037.08784375 |
transcript.pyannote[390].end |
4038.21846875 |
transcript.pyannote[391].speaker |
SPEAKER_10 |
transcript.pyannote[391].start |
4039.99034375 |
transcript.pyannote[391].end |
4040.73284375 |
transcript.pyannote[392].speaker |
SPEAKER_17 |
transcript.pyannote[392].start |
4044.29346875 |
transcript.pyannote[392].end |
4045.32284375 |
transcript.pyannote[393].speaker |
SPEAKER_10 |
transcript.pyannote[393].start |
4045.62659375 |
transcript.pyannote[393].end |
4046.25096875 |
transcript.pyannote[394].speaker |
SPEAKER_17 |
transcript.pyannote[394].start |
4046.25096875 |
transcript.pyannote[394].end |
4047.48284375 |
transcript.pyannote[395].speaker |
SPEAKER_17 |
transcript.pyannote[395].start |
4047.71909375 |
transcript.pyannote[395].end |
4050.67221875 |
transcript.pyannote[396].speaker |
SPEAKER_17 |
transcript.pyannote[396].start |
4051.00971875 |
transcript.pyannote[396].end |
4052.89971875 |
transcript.pyannote[397].speaker |
SPEAKER_17 |
transcript.pyannote[397].start |
4053.77721875 |
transcript.pyannote[397].end |
4056.84846875 |
transcript.pyannote[398].speaker |
SPEAKER_17 |
transcript.pyannote[398].start |
4057.13534375 |
transcript.pyannote[398].end |
4057.28721875 |
transcript.pyannote[399].speaker |
SPEAKER_10 |
transcript.pyannote[399].start |
4057.28721875 |
transcript.pyannote[399].end |
4057.32096875 |
transcript.pyannote[400].speaker |
SPEAKER_17 |
transcript.pyannote[400].start |
4057.32096875 |
transcript.pyannote[400].end |
4059.05909375 |
transcript.pyannote[401].speaker |
SPEAKER_10 |
transcript.pyannote[401].start |
4057.89471875 |
transcript.pyannote[401].end |
4062.06284375 |
transcript.pyannote[402].speaker |
SPEAKER_17 |
transcript.pyannote[402].start |
4060.98284375 |
transcript.pyannote[402].end |
4062.94034375 |
transcript.pyannote[403].speaker |
SPEAKER_17 |
transcript.pyannote[403].start |
4062.97409375 |
transcript.pyannote[403].end |
4075.95096875 |
transcript.pyannote[404].speaker |
SPEAKER_17 |
transcript.pyannote[404].start |
4076.64284375 |
transcript.pyannote[404].end |
4079.15721875 |
transcript.pyannote[405].speaker |
SPEAKER_17 |
transcript.pyannote[405].start |
4080.89534375 |
transcript.pyannote[405].end |
4081.85721875 |
transcript.pyannote[406].speaker |
SPEAKER_17 |
transcript.pyannote[406].start |
4083.62909375 |
transcript.pyannote[406].end |
4085.85659375 |
transcript.pyannote[407].speaker |
SPEAKER_10 |
transcript.pyannote[407].start |
4083.91596875 |
transcript.pyannote[407].end |
4085.77221875 |
transcript.pyannote[408].speaker |
SPEAKER_10 |
transcript.pyannote[408].start |
4085.85659375 |
transcript.pyannote[408].end |
4085.89034375 |
transcript.pyannote[409].speaker |
SPEAKER_10 |
transcript.pyannote[409].start |
4085.97471875 |
transcript.pyannote[409].end |
4089.58596875 |
transcript.pyannote[410].speaker |
SPEAKER_17 |
transcript.pyannote[410].start |
4088.25284375 |
transcript.pyannote[410].end |
4091.61096875 |
transcript.pyannote[411].speaker |
SPEAKER_17 |
transcript.pyannote[411].start |
4092.48846875 |
transcript.pyannote[411].end |
4097.75346875 |
transcript.pyannote[412].speaker |
SPEAKER_17 |
transcript.pyannote[412].start |
4098.07409375 |
transcript.pyannote[412].end |
4099.55909375 |
transcript.pyannote[413].speaker |
SPEAKER_17 |
transcript.pyannote[413].start |
4100.08221875 |
transcript.pyannote[413].end |
4111.01721875 |
transcript.pyannote[414].speaker |
SPEAKER_17 |
transcript.pyannote[414].start |
4111.62471875 |
transcript.pyannote[414].end |
4117.42971875 |
transcript.pyannote[415].speaker |
SPEAKER_17 |
transcript.pyannote[415].start |
4117.98659375 |
transcript.pyannote[415].end |
4118.98221875 |
transcript.pyannote[416].speaker |
SPEAKER_17 |
transcript.pyannote[416].start |
4119.92721875 |
transcript.pyannote[416].end |
4123.33596875 |
transcript.pyannote[417].speaker |
SPEAKER_17 |
transcript.pyannote[417].start |
4124.50034375 |
transcript.pyannote[417].end |
4125.78284375 |
transcript.pyannote[418].speaker |
SPEAKER_10 |
transcript.pyannote[418].start |
4126.17096875 |
transcript.pyannote[418].end |
4136.49846875 |
transcript.pyannote[419].speaker |
SPEAKER_17 |
transcript.pyannote[419].start |
4137.42659375 |
transcript.pyannote[419].end |
4140.49784375 |
transcript.pyannote[420].speaker |
SPEAKER_17 |
transcript.pyannote[420].start |
4141.27409375 |
transcript.pyannote[420].end |
4142.84346875 |
transcript.pyannote[421].speaker |
SPEAKER_17 |
transcript.pyannote[421].start |
4143.18096875 |
transcript.pyannote[421].end |
4152.54659375 |
transcript.pyannote[422].speaker |
SPEAKER_10 |
transcript.pyannote[422].start |
4149.47534375 |
transcript.pyannote[422].end |
4161.16971875 |
transcript.pyannote[423].speaker |
SPEAKER_17 |
transcript.pyannote[423].start |
4160.14034375 |
transcript.pyannote[423].end |
4166.31659375 |
transcript.pyannote[424].speaker |
SPEAKER_17 |
transcript.pyannote[424].start |
4167.00846875 |
transcript.pyannote[424].end |
4167.95346875 |
transcript.pyannote[425].speaker |
SPEAKER_17 |
transcript.pyannote[425].start |
4168.52721875 |
transcript.pyannote[425].end |
4169.67471875 |
transcript.pyannote[426].speaker |
SPEAKER_17 |
transcript.pyannote[426].start |
4170.19784375 |
transcript.pyannote[426].end |
4172.76284375 |
transcript.pyannote[427].speaker |
SPEAKER_17 |
transcript.pyannote[427].start |
4174.43346875 |
transcript.pyannote[427].end |
4175.96909375 |
transcript.pyannote[428].speaker |
SPEAKER_17 |
transcript.pyannote[428].start |
4176.50909375 |
transcript.pyannote[428].end |
4177.97721875 |
transcript.pyannote[429].speaker |
SPEAKER_10 |
transcript.pyannote[429].start |
4177.97721875 |
transcript.pyannote[429].end |
4178.90534375 |
transcript.pyannote[430].speaker |
SPEAKER_17 |
transcript.pyannote[430].start |
4178.90534375 |
transcript.pyannote[430].end |
4178.95596875 |
transcript.pyannote[431].speaker |
SPEAKER_10 |
transcript.pyannote[431].start |
4178.95596875 |
transcript.pyannote[431].end |
4183.27596875 |
transcript.pyannote[432].speaker |
SPEAKER_17 |
transcript.pyannote[432].start |
4178.98971875 |
transcript.pyannote[432].end |
4180.03596875 |
transcript.pyannote[433].speaker |
SPEAKER_17 |
transcript.pyannote[433].start |
4183.27596875 |
transcript.pyannote[433].end |
4185.01409375 |
transcript.pyannote[434].speaker |
SPEAKER_10 |
transcript.pyannote[434].start |
4186.78596875 |
transcript.pyannote[434].end |
4190.19471875 |
transcript.pyannote[435].speaker |
SPEAKER_17 |
transcript.pyannote[435].start |
4189.84034375 |
transcript.pyannote[435].end |
4193.13096875 |
transcript.pyannote[436].speaker |
SPEAKER_17 |
transcript.pyannote[436].start |
4194.43034375 |
transcript.pyannote[436].end |
4195.42596875 |
transcript.pyannote[437].speaker |
SPEAKER_17 |
transcript.pyannote[437].start |
4195.88159375 |
transcript.pyannote[437].end |
4199.32409375 |
transcript.pyannote[438].speaker |
SPEAKER_17 |
transcript.pyannote[438].start |
4200.30284375 |
transcript.pyannote[438].end |
4205.01096875 |
transcript.pyannote[439].speaker |
SPEAKER_17 |
transcript.pyannote[439].start |
4205.23034375 |
transcript.pyannote[439].end |
4208.72346875 |
transcript.pyannote[440].speaker |
SPEAKER_17 |
transcript.pyannote[440].start |
4209.04409375 |
transcript.pyannote[440].end |
4210.64721875 |
transcript.pyannote[441].speaker |
SPEAKER_17 |
transcript.pyannote[441].start |
4210.86659375 |
transcript.pyannote[441].end |
4211.74409375 |
transcript.pyannote[442].speaker |
SPEAKER_17 |
transcript.pyannote[442].start |
4211.76096875 |
transcript.pyannote[442].end |
4213.38096875 |
transcript.pyannote[443].speaker |
SPEAKER_17 |
transcript.pyannote[443].start |
4213.95471875 |
transcript.pyannote[443].end |
4218.81471875 |
transcript.pyannote[444].speaker |
SPEAKER_17 |
transcript.pyannote[444].start |
4218.88221875 |
transcript.pyannote[444].end |
4219.92846875 |
transcript.pyannote[445].speaker |
SPEAKER_17 |
transcript.pyannote[445].start |
4220.21534375 |
transcript.pyannote[445].end |
4220.97471875 |
transcript.pyannote[446].speaker |
SPEAKER_10 |
transcript.pyannote[446].start |
4220.97471875 |
transcript.pyannote[446].end |
4221.64971875 |
transcript.pyannote[447].speaker |
SPEAKER_17 |
transcript.pyannote[447].start |
4222.69596875 |
transcript.pyannote[447].end |
4222.71284375 |
transcript.pyannote[448].speaker |
SPEAKER_10 |
transcript.pyannote[448].start |
4222.71284375 |
transcript.pyannote[448].end |
4230.22221875 |
transcript.pyannote[449].speaker |
SPEAKER_10 |
transcript.pyannote[449].start |
4230.55971875 |
transcript.pyannote[449].end |
4231.99409375 |
transcript.pyannote[450].speaker |
SPEAKER_17 |
transcript.pyannote[450].start |
4230.71159375 |
transcript.pyannote[450].end |
4233.00659375 |
transcript.pyannote[451].speaker |
SPEAKER_17 |
transcript.pyannote[451].start |
4233.96846875 |
transcript.pyannote[451].end |
4235.99346875 |
transcript.pyannote[452].speaker |
SPEAKER_17 |
transcript.pyannote[452].start |
4236.31409375 |
transcript.pyannote[452].end |
4237.29284375 |
transcript.pyannote[453].speaker |
SPEAKER_17 |
transcript.pyannote[453].start |
4238.06909375 |
transcript.pyannote[453].end |
4240.36409375 |
transcript.pyannote[454].speaker |
SPEAKER_17 |
transcript.pyannote[454].start |
4241.12346875 |
transcript.pyannote[454].end |
4242.77721875 |
transcript.pyannote[455].speaker |
SPEAKER_17 |
transcript.pyannote[455].start |
4243.33409375 |
transcript.pyannote[455].end |
4245.08909375 |
transcript.pyannote[456].speaker |
SPEAKER_17 |
transcript.pyannote[456].start |
4245.25784375 |
transcript.pyannote[456].end |
4247.40096875 |
transcript.pyannote[457].speaker |
SPEAKER_17 |
transcript.pyannote[457].start |
4247.97471875 |
transcript.pyannote[457].end |
4250.75909375 |
transcript.pyannote[458].speaker |
SPEAKER_17 |
transcript.pyannote[458].start |
4251.02909375 |
transcript.pyannote[458].end |
4252.96971875 |
transcript.pyannote[459].speaker |
SPEAKER_10 |
transcript.pyannote[459].start |
4252.96971875 |
transcript.pyannote[459].end |
4257.84659375 |
transcript.pyannote[460].speaker |
SPEAKER_10 |
transcript.pyannote[460].start |
4258.23471875 |
transcript.pyannote[460].end |
4261.00221875 |
transcript.pyannote[461].speaker |
SPEAKER_00 |
transcript.pyannote[461].start |
4258.48784375 |
transcript.pyannote[461].end |
4260.22596875 |
transcript.pyannote[462].speaker |
SPEAKER_10 |
transcript.pyannote[462].start |
4261.18784375 |
transcript.pyannote[462].end |
4265.72721875 |
transcript.pyannote[463].speaker |
SPEAKER_00 |
transcript.pyannote[463].start |
4263.21284375 |
transcript.pyannote[463].end |
4263.33096875 |
transcript.pyannote[464].speaker |
SPEAKER_17 |
transcript.pyannote[464].start |
4263.33096875 |
transcript.pyannote[464].end |
4264.07346875 |
transcript.pyannote[465].speaker |
SPEAKER_13 |
transcript.pyannote[465].start |
4264.07346875 |
transcript.pyannote[465].end |
4264.42784375 |
transcript.pyannote[466].speaker |
SPEAKER_10 |
transcript.pyannote[466].start |
4266.11534375 |
transcript.pyannote[466].end |
4267.12784375 |
transcript.pyannote[467].speaker |
SPEAKER_10 |
transcript.pyannote[467].start |
4267.51596875 |
transcript.pyannote[467].end |
4276.96596875 |
transcript.pyannote[468].speaker |
SPEAKER_17 |
transcript.pyannote[468].start |
4267.66784375 |
transcript.pyannote[468].end |
4269.43971875 |
transcript.pyannote[469].speaker |
SPEAKER_17 |
transcript.pyannote[469].start |
4271.26221875 |
transcript.pyannote[469].end |
4271.27909375 |
transcript.pyannote[470].speaker |
SPEAKER_07 |
transcript.pyannote[470].start |
4271.27909375 |
transcript.pyannote[470].end |
4271.56596875 |
transcript.pyannote[471].speaker |
SPEAKER_17 |
transcript.pyannote[471].start |
4271.56596875 |
transcript.pyannote[471].end |
4271.75159375 |
transcript.pyannote[472].speaker |
SPEAKER_13 |
transcript.pyannote[472].start |
4271.75159375 |
transcript.pyannote[472].end |
4272.12284375 |
transcript.pyannote[473].speaker |
SPEAKER_17 |
transcript.pyannote[473].start |
4272.12284375 |
transcript.pyannote[473].end |
4272.15659375 |
transcript.pyannote[474].speaker |
SPEAKER_07 |
transcript.pyannote[474].start |
4272.15659375 |
transcript.pyannote[474].end |
4273.67534375 |
transcript.pyannote[475].speaker |
SPEAKER_07 |
transcript.pyannote[475].start |
4274.99159375 |
transcript.pyannote[475].end |
4276.42596875 |
transcript.pyannote[476].speaker |
SPEAKER_07 |
transcript.pyannote[476].start |
4276.59471875 |
transcript.pyannote[476].end |
4278.99096875 |
transcript.pyannote[477].speaker |
SPEAKER_10 |
transcript.pyannote[477].start |
4278.19784375 |
transcript.pyannote[477].end |
4281.15096875 |
transcript.pyannote[478].speaker |
SPEAKER_07 |
transcript.pyannote[478].start |
4279.75034375 |
transcript.pyannote[478].end |
4280.88096875 |
transcript.pyannote[479].speaker |
SPEAKER_07 |
transcript.pyannote[479].start |
4281.52221875 |
transcript.pyannote[479].end |
4288.76159375 |
transcript.pyannote[480].speaker |
SPEAKER_10 |
transcript.pyannote[480].start |
4290.06096875 |
transcript.pyannote[480].end |
4291.14096875 |
transcript.pyannote[481].speaker |
SPEAKER_10 |
transcript.pyannote[481].start |
4291.30971875 |
transcript.pyannote[481].end |
4295.03909375 |
transcript.pyannote[482].speaker |
SPEAKER_01 |
transcript.pyannote[482].start |
4293.50346875 |
transcript.pyannote[482].end |
4293.53721875 |
transcript.pyannote[483].speaker |
SPEAKER_17 |
transcript.pyannote[483].start |
4293.53721875 |
transcript.pyannote[483].end |
4294.98846875 |
transcript.pyannote[484].speaker |
SPEAKER_10 |
transcript.pyannote[484].start |
4295.78159375 |
transcript.pyannote[484].end |
4297.75596875 |
transcript.pyannote[485].speaker |
SPEAKER_10 |
transcript.pyannote[485].start |
4297.97534375 |
transcript.pyannote[485].end |
4300.82721875 |
transcript.pyannote[486].speaker |
SPEAKER_17 |
transcript.pyannote[486].start |
4300.08471875 |
transcript.pyannote[486].end |
4301.97471875 |
transcript.pyannote[487].speaker |
SPEAKER_10 |
transcript.pyannote[487].start |
4301.97471875 |
transcript.pyannote[487].end |
4302.00846875 |
transcript.pyannote[488].speaker |
SPEAKER_17 |
transcript.pyannote[488].start |
4302.00846875 |
transcript.pyannote[488].end |
4302.07596875 |
transcript.pyannote[489].speaker |
SPEAKER_10 |
transcript.pyannote[489].start |
4302.07596875 |
transcript.pyannote[489].end |
4302.51471875 |
transcript.pyannote[490].speaker |
SPEAKER_17 |
transcript.pyannote[490].start |
4302.51471875 |
transcript.pyannote[490].end |
4302.70034375 |
transcript.pyannote[491].speaker |
SPEAKER_10 |
transcript.pyannote[491].start |
4302.70034375 |
transcript.pyannote[491].end |
4303.39221875 |
transcript.pyannote[492].speaker |
SPEAKER_17 |
transcript.pyannote[492].start |
4302.91971875 |
transcript.pyannote[492].end |
4305.97409375 |
transcript.pyannote[493].speaker |
SPEAKER_10 |
transcript.pyannote[493].start |
4305.97409375 |
transcript.pyannote[493].end |
4306.02471875 |
transcript.pyannote[494].speaker |
SPEAKER_17 |
transcript.pyannote[494].start |
4306.02471875 |
transcript.pyannote[494].end |
4306.96971875 |
transcript.pyannote[495].speaker |
SPEAKER_10 |
transcript.pyannote[495].start |
4306.96971875 |
transcript.pyannote[495].end |
4312.21784375 |
transcript.pyannote[496].speaker |
SPEAKER_10 |
transcript.pyannote[496].start |
4312.33596875 |
transcript.pyannote[496].end |
4312.97721875 |
transcript.pyannote[497].speaker |
SPEAKER_17 |
transcript.pyannote[497].start |
4312.97721875 |
transcript.pyannote[497].end |
4317.14534375 |
transcript.pyannote[498].speaker |
SPEAKER_10 |
transcript.pyannote[498].start |
4313.11221875 |
transcript.pyannote[498].end |
4314.17534375 |
transcript.pyannote[499].speaker |
SPEAKER_10 |
transcript.pyannote[499].start |
4315.15409375 |
transcript.pyannote[499].end |
4323.99659375 |
transcript.pyannote[500].speaker |
SPEAKER_17 |
transcript.pyannote[500].start |
4323.99659375 |
transcript.pyannote[500].end |
4325.26221875 |
transcript.pyannote[501].speaker |
SPEAKER_10 |
transcript.pyannote[501].start |
4325.26221875 |
transcript.pyannote[501].end |
4325.32971875 |
transcript.pyannote[502].speaker |
SPEAKER_10 |
transcript.pyannote[502].start |
4326.00471875 |
transcript.pyannote[502].end |
4327.89471875 |
transcript.pyannote[503].speaker |
SPEAKER_17 |
transcript.pyannote[503].start |
4327.50659375 |
transcript.pyannote[503].end |
4328.13096875 |
transcript.pyannote[504].speaker |
SPEAKER_17 |
transcript.pyannote[504].start |
4329.31221875 |
transcript.pyannote[504].end |
4333.19346875 |
transcript.pyannote[505].speaker |
SPEAKER_10 |
transcript.pyannote[505].start |
4332.31596875 |
transcript.pyannote[505].end |
4334.34096875 |
transcript.pyannote[506].speaker |
SPEAKER_10 |
transcript.pyannote[506].start |
4334.83034375 |
transcript.pyannote[506].end |
4335.70784375 |
transcript.pyannote[507].speaker |
SPEAKER_10 |
transcript.pyannote[507].start |
4336.21409375 |
transcript.pyannote[507].end |
4339.36971875 |
transcript.pyannote[508].speaker |
SPEAKER_17 |
transcript.pyannote[508].start |
4339.36971875 |
transcript.pyannote[508].end |
4340.46659375 |
transcript.pyannote[509].speaker |
SPEAKER_17 |
transcript.pyannote[509].start |
4342.35659375 |
transcript.pyannote[509].end |
4345.81596875 |
transcript.pyannote[510].speaker |
SPEAKER_10 |
transcript.pyannote[510].start |
4345.00596875 |
transcript.pyannote[510].end |
4345.51221875 |
transcript.pyannote[511].speaker |
SPEAKER_10 |
transcript.pyannote[511].start |
4346.20409375 |
transcript.pyannote[511].end |
4346.65971875 |
transcript.pyannote[512].speaker |
SPEAKER_17 |
transcript.pyannote[512].start |
4346.28846875 |
transcript.pyannote[512].end |
4347.82409375 |
transcript.pyannote[513].speaker |
SPEAKER_17 |
transcript.pyannote[513].start |
4348.85346875 |
transcript.pyannote[513].end |
4349.96721875 |
transcript.pyannote[514].speaker |
SPEAKER_10 |
transcript.pyannote[514].start |
4349.96721875 |
transcript.pyannote[514].end |
4350.60846875 |
transcript.pyannote[515].speaker |
SPEAKER_10 |
transcript.pyannote[515].start |
4352.41409375 |
transcript.pyannote[515].end |
4357.24034375 |
transcript.pyannote[516].speaker |
SPEAKER_17 |
transcript.pyannote[516].start |
4355.67096875 |
transcript.pyannote[516].end |
4356.68346875 |
transcript.pyannote[517].speaker |
SPEAKER_17 |
transcript.pyannote[517].start |
4357.24034375 |
transcript.pyannote[517].end |
4357.25721875 |
transcript.pyannote[518].speaker |
SPEAKER_17 |
transcript.pyannote[518].start |
4357.69596875 |
transcript.pyannote[518].end |
4358.86034375 |
transcript.pyannote[519].speaker |
SPEAKER_17 |
transcript.pyannote[519].start |
4359.67034375 |
transcript.pyannote[519].end |
4359.68721875 |
transcript.pyannote[520].speaker |
SPEAKER_10 |
transcript.pyannote[520].start |
4359.68721875 |
transcript.pyannote[520].end |
4359.70409375 |
transcript.pyannote[521].speaker |
SPEAKER_17 |
transcript.pyannote[521].start |
4359.70409375 |
transcript.pyannote[521].end |
4361.94846875 |
transcript.pyannote[522].speaker |
SPEAKER_07 |
transcript.pyannote[522].start |
4360.07534375 |
transcript.pyannote[522].end |
4360.75034375 |
transcript.pyannote[523].speaker |
SPEAKER_07 |
transcript.pyannote[523].start |
4361.05409375 |
transcript.pyannote[523].end |
4368.10784375 |
transcript.pyannote[524].speaker |
SPEAKER_07 |
transcript.pyannote[524].start |
4368.41159375 |
transcript.pyannote[524].end |
4370.47034375 |
transcript.pyannote[525].speaker |
SPEAKER_17 |
transcript.pyannote[525].start |
4369.84596875 |
transcript.pyannote[525].end |
4383.81846875 |
transcript.pyannote[526].speaker |
SPEAKER_07 |
transcript.pyannote[526].start |
4370.60534375 |
transcript.pyannote[526].end |
4372.51221875 |
transcript.pyannote[527].speaker |
SPEAKER_17 |
transcript.pyannote[527].start |
4384.22346875 |
transcript.pyannote[527].end |
4388.66159375 |
transcript.pyannote[528].speaker |
SPEAKER_07 |
transcript.pyannote[528].start |
4389.91034375 |
transcript.pyannote[528].end |
4390.24784375 |
transcript.pyannote[529].speaker |
SPEAKER_07 |
transcript.pyannote[529].start |
4390.46721875 |
transcript.pyannote[529].end |
4390.80471875 |
transcript.pyannote[530].speaker |
SPEAKER_17 |
transcript.pyannote[530].start |
4390.80471875 |
transcript.pyannote[530].end |
4390.82159375 |
transcript.pyannote[531].speaker |
SPEAKER_07 |
transcript.pyannote[531].start |
4390.82159375 |
transcript.pyannote[531].end |
4391.51346875 |
transcript.pyannote[532].speaker |
SPEAKER_17 |
transcript.pyannote[532].start |
4390.87221875 |
transcript.pyannote[532].end |
4396.89659375 |
transcript.pyannote[533].speaker |
SPEAKER_17 |
transcript.pyannote[533].start |
4397.20034375 |
transcript.pyannote[533].end |
4398.51659375 |
transcript.pyannote[534].speaker |
SPEAKER_10 |
transcript.pyannote[534].start |
4398.51659375 |
transcript.pyannote[534].end |
4398.53346875 |
transcript.pyannote[535].speaker |
SPEAKER_10 |
transcript.pyannote[535].start |
4399.24221875 |
transcript.pyannote[535].end |
4400.84534375 |
transcript.pyannote[536].speaker |
SPEAKER_10 |
transcript.pyannote[536].start |
4401.13221875 |
transcript.pyannote[536].end |
4403.64659375 |
transcript.pyannote[537].speaker |
SPEAKER_17 |
transcript.pyannote[537].start |
4402.33034375 |
transcript.pyannote[537].end |
4402.58346875 |
transcript.pyannote[538].speaker |
SPEAKER_10 |
transcript.pyannote[538].start |
4404.50721875 |
transcript.pyannote[538].end |
4405.30034375 |
transcript.pyannote[539].speaker |
SPEAKER_17 |
transcript.pyannote[539].start |
4405.30034375 |
transcript.pyannote[539].end |
4408.84409375 |
transcript.pyannote[540].speaker |
SPEAKER_17 |
transcript.pyannote[540].start |
4409.43471875 |
transcript.pyannote[540].end |
4410.64971875 |
transcript.pyannote[541].speaker |
SPEAKER_17 |
transcript.pyannote[541].start |
4411.22346875 |
transcript.pyannote[541].end |
4413.56909375 |
transcript.pyannote[542].speaker |
SPEAKER_07 |
transcript.pyannote[542].start |
4413.56909375 |
transcript.pyannote[542].end |
4413.82221875 |
transcript.pyannote[543].speaker |
SPEAKER_17 |
transcript.pyannote[543].start |
4413.82221875 |
transcript.pyannote[543].end |
4414.85159375 |
transcript.pyannote[544].speaker |
SPEAKER_07 |
transcript.pyannote[544].start |
4414.85159375 |
transcript.pyannote[544].end |
4414.93596875 |
transcript.pyannote[545].speaker |
SPEAKER_17 |
transcript.pyannote[545].start |
4414.93596875 |
transcript.pyannote[545].end |
4414.96971875 |
transcript.pyannote[546].speaker |
SPEAKER_07 |
transcript.pyannote[546].start |
4414.96971875 |
transcript.pyannote[546].end |
4436.14784375 |
transcript.pyannote[547].speaker |
SPEAKER_10 |
transcript.pyannote[547].start |
4434.15659375 |
transcript.pyannote[547].end |
4446.23909375 |
transcript.pyannote[548].speaker |
SPEAKER_17 |
transcript.pyannote[548].start |
4446.54284375 |
transcript.pyannote[548].end |
4450.72784375 |
transcript.pyannote[549].speaker |
SPEAKER_10 |
transcript.pyannote[549].start |
4446.74534375 |
transcript.pyannote[549].end |
4447.13346875 |
transcript.pyannote[550].speaker |
SPEAKER_17 |
transcript.pyannote[550].start |
4450.94721875 |
transcript.pyannote[550].end |
4450.96409375 |
transcript.pyannote[551].speaker |
SPEAKER_07 |
transcript.pyannote[551].start |
4450.96409375 |
transcript.pyannote[551].end |
4451.89221875 |
transcript.pyannote[552].speaker |
SPEAKER_10 |
transcript.pyannote[552].start |
4452.14534375 |
transcript.pyannote[552].end |
4453.37721875 |
transcript.pyannote[553].speaker |
SPEAKER_07 |
transcript.pyannote[553].start |
4453.96784375 |
transcript.pyannote[553].end |
4454.77784375 |
transcript.pyannote[554].speaker |
SPEAKER_07 |
transcript.pyannote[554].start |
4456.04346875 |
transcript.pyannote[554].end |
4462.15221875 |
transcript.pyannote[555].speaker |
SPEAKER_07 |
transcript.pyannote[555].start |
4462.25346875 |
transcript.pyannote[555].end |
4464.27846875 |
transcript.pyannote[556].speaker |
SPEAKER_07 |
transcript.pyannote[556].start |
4464.44721875 |
transcript.pyannote[556].end |
4466.23596875 |
transcript.pyannote[557].speaker |
SPEAKER_15 |
transcript.pyannote[557].start |
4475.02784375 |
transcript.pyannote[557].end |
4478.40284375 |
transcript.pyannote[558].speaker |
SPEAKER_07 |
transcript.pyannote[558].start |
4479.46596875 |
transcript.pyannote[558].end |
4481.00159375 |
transcript.pyannote[559].speaker |
SPEAKER_15 |
transcript.pyannote[559].start |
4486.70534375 |
transcript.pyannote[559].end |
4487.14409375 |
transcript.pyannote[560].speaker |
SPEAKER_15 |
transcript.pyannote[560].start |
4487.92034375 |
transcript.pyannote[560].end |
4488.89909375 |
transcript.pyannote[561].speaker |
SPEAKER_15 |
transcript.pyannote[561].start |
4489.18596875 |
transcript.pyannote[561].end |
4497.38721875 |
transcript.pyannote[562].speaker |
SPEAKER_15 |
transcript.pyannote[562].start |
4497.80909375 |
transcript.pyannote[562].end |
4505.57159375 |
transcript.pyannote[563].speaker |
SPEAKER_15 |
transcript.pyannote[563].start |
4505.62221875 |
transcript.pyannote[563].end |
4535.89596875 |
transcript.pyannote[564].speaker |
SPEAKER_15 |
transcript.pyannote[564].start |
4536.60471875 |
transcript.pyannote[564].end |
4546.52721875 |
transcript.pyannote[565].speaker |
SPEAKER_15 |
transcript.pyannote[565].start |
4547.10096875 |
transcript.pyannote[565].end |
4560.53346875 |
transcript.pyannote[566].speaker |
SPEAKER_15 |
transcript.pyannote[566].start |
4560.61784375 |
transcript.pyannote[566].end |
4577.94846875 |
transcript.pyannote[567].speaker |
SPEAKER_15 |
transcript.pyannote[567].start |
4578.57284375 |
transcript.pyannote[567].end |
4597.13534375 |
transcript.pyannote[568].speaker |
SPEAKER_16 |
transcript.pyannote[568].start |
4597.94534375 |
transcript.pyannote[568].end |
4598.36721875 |
transcript.pyannote[569].speaker |
SPEAKER_16 |
transcript.pyannote[569].start |
4600.07159375 |
transcript.pyannote[569].end |
4616.62596875 |
transcript.pyannote[570].speaker |
SPEAKER_15 |
transcript.pyannote[570].start |
4612.91346875 |
transcript.pyannote[570].end |
4614.26346875 |
transcript.pyannote[571].speaker |
SPEAKER_15 |
transcript.pyannote[571].start |
4614.36471875 |
transcript.pyannote[571].end |
4616.69346875 |
transcript.pyannote[572].speaker |
SPEAKER_16 |
transcript.pyannote[572].start |
4616.69346875 |
transcript.pyannote[572].end |
4616.96346875 |
transcript.pyannote[573].speaker |
SPEAKER_15 |
transcript.pyannote[573].start |
4616.96346875 |
transcript.pyannote[573].end |
4622.02596875 |
transcript.pyannote[574].speaker |
SPEAKER_16 |
transcript.pyannote[574].start |
4620.18659375 |
transcript.pyannote[574].end |
4647.84471875 |
transcript.pyannote[575].speaker |
SPEAKER_15 |
transcript.pyannote[575].start |
4647.27096875 |
transcript.pyannote[575].end |
4650.29159375 |
transcript.pyannote[576].speaker |
SPEAKER_16 |
transcript.pyannote[576].start |
4650.56159375 |
transcript.pyannote[576].end |
4656.38346875 |
transcript.pyannote[577].speaker |
SPEAKER_15 |
transcript.pyannote[577].start |
4655.59034375 |
transcript.pyannote[577].end |
4656.94034375 |
transcript.pyannote[578].speaker |
SPEAKER_16 |
transcript.pyannote[578].start |
4656.94034375 |
transcript.pyannote[578].end |
4658.67846875 |
transcript.pyannote[579].speaker |
SPEAKER_15 |
transcript.pyannote[579].start |
4657.27784375 |
transcript.pyannote[579].end |
4657.29471875 |
transcript.pyannote[580].speaker |
SPEAKER_15 |
transcript.pyannote[580].start |
4657.69971875 |
transcript.pyannote[580].end |
4669.32659375 |
transcript.pyannote[581].speaker |
SPEAKER_15 |
transcript.pyannote[581].start |
4670.00159375 |
transcript.pyannote[581].end |
4688.88471875 |
transcript.pyannote[582].speaker |
SPEAKER_15 |
transcript.pyannote[582].start |
4689.28971875 |
transcript.pyannote[582].end |
4689.96471875 |
transcript.pyannote[583].speaker |
SPEAKER_15 |
transcript.pyannote[583].start |
4690.09971875 |
transcript.pyannote[583].end |
4691.09534375 |
transcript.pyannote[584].speaker |
SPEAKER_15 |
transcript.pyannote[584].start |
4691.61846875 |
transcript.pyannote[584].end |
4693.55909375 |
transcript.pyannote[585].speaker |
SPEAKER_15 |
transcript.pyannote[585].start |
4693.82909375 |
transcript.pyannote[585].end |
4710.83909375 |
transcript.pyannote[586].speaker |
SPEAKER_15 |
transcript.pyannote[586].start |
4711.34534375 |
transcript.pyannote[586].end |
4713.35346875 |
transcript.pyannote[587].speaker |
SPEAKER_15 |
transcript.pyannote[587].start |
4713.77534375 |
transcript.pyannote[587].end |
4716.20534375 |
transcript.pyannote[588].speaker |
SPEAKER_15 |
transcript.pyannote[588].start |
4716.88034375 |
transcript.pyannote[588].end |
4719.96846875 |
transcript.pyannote[589].speaker |
SPEAKER_15 |
transcript.pyannote[589].start |
4720.50846875 |
transcript.pyannote[589].end |
4739.83034375 |
transcript.pyannote[590].speaker |
SPEAKER_15 |
transcript.pyannote[590].start |
4740.08346875 |
transcript.pyannote[590].end |
4740.75846875 |
transcript.pyannote[591].speaker |
SPEAKER_13 |
transcript.pyannote[591].start |
4740.25221875 |
transcript.pyannote[591].end |
4741.01159375 |
transcript.pyannote[592].speaker |
SPEAKER_15 |
transcript.pyannote[592].start |
4741.01159375 |
transcript.pyannote[592].end |
4746.41159375 |
transcript.pyannote[593].speaker |
SPEAKER_15 |
transcript.pyannote[593].start |
4746.91784375 |
transcript.pyannote[593].end |
4758.02159375 |
transcript.pyannote[594].speaker |
SPEAKER_15 |
transcript.pyannote[594].start |
4758.56159375 |
transcript.pyannote[594].end |
4759.96221875 |
transcript.pyannote[595].speaker |
SPEAKER_10 |
transcript.pyannote[595].start |
4759.96221875 |
transcript.pyannote[595].end |
4760.85659375 |
transcript.pyannote[596].speaker |
SPEAKER_15 |
transcript.pyannote[596].start |
4760.43471875 |
transcript.pyannote[596].end |
4763.60721875 |
transcript.pyannote[597].speaker |
SPEAKER_10 |
transcript.pyannote[597].start |
4761.05909375 |
transcript.pyannote[597].end |
4761.22784375 |
transcript.pyannote[598].speaker |
SPEAKER_10 |
transcript.pyannote[598].start |
4763.11784375 |
transcript.pyannote[598].end |
4765.66596875 |
transcript.pyannote[599].speaker |
SPEAKER_10 |
transcript.pyannote[599].start |
4765.78409375 |
transcript.pyannote[599].end |
4769.61471875 |
transcript.pyannote[600].speaker |
SPEAKER_15 |
transcript.pyannote[600].start |
4769.61471875 |
transcript.pyannote[600].end |
4777.30971875 |
transcript.pyannote[601].speaker |
SPEAKER_10 |
transcript.pyannote[601].start |
4774.27221875 |
transcript.pyannote[601].end |
4775.65596875 |
transcript.pyannote[602].speaker |
SPEAKER_15 |
transcript.pyannote[602].start |
4777.39409375 |
transcript.pyannote[602].end |
4786.21971875 |
transcript.pyannote[603].speaker |
SPEAKER_15 |
transcript.pyannote[603].start |
4788.51471875 |
transcript.pyannote[603].end |
4788.97034375 |
transcript.pyannote[604].speaker |
SPEAKER_10 |
transcript.pyannote[604].start |
4788.97034375 |
transcript.pyannote[604].end |
4789.71284375 |
transcript.pyannote[605].speaker |
SPEAKER_15 |
transcript.pyannote[605].start |
4789.71284375 |
transcript.pyannote[605].end |
4790.23596875 |
transcript.pyannote[606].speaker |
SPEAKER_10 |
transcript.pyannote[606].start |
4790.23596875 |
transcript.pyannote[606].end |
4790.37096875 |
transcript.pyannote[607].speaker |
SPEAKER_15 |
transcript.pyannote[607].start |
4790.37096875 |
transcript.pyannote[607].end |
4790.42159375 |
transcript.pyannote[608].speaker |
SPEAKER_10 |
transcript.pyannote[608].start |
4790.42159375 |
transcript.pyannote[608].end |
4790.43846875 |
transcript.pyannote[609].speaker |
SPEAKER_15 |
transcript.pyannote[609].start |
4790.43846875 |
transcript.pyannote[609].end |
4790.86034375 |
transcript.pyannote[610].speaker |
SPEAKER_10 |
transcript.pyannote[610].start |
4790.86034375 |
transcript.pyannote[610].end |
4790.94471875 |
transcript.pyannote[611].speaker |
SPEAKER_10 |
transcript.pyannote[611].start |
4790.96159375 |
transcript.pyannote[611].end |
4798.84221875 |
transcript.pyannote[612].speaker |
SPEAKER_10 |
transcript.pyannote[612].start |
4799.43284375 |
transcript.pyannote[612].end |
4810.82346875 |
transcript.pyannote[613].speaker |
SPEAKER_15 |
transcript.pyannote[613].start |
4809.64221875 |
transcript.pyannote[613].end |
4813.99596875 |
transcript.pyannote[614].speaker |
SPEAKER_10 |
transcript.pyannote[614].start |
4811.51534375 |
transcript.pyannote[614].end |
4811.68409375 |
transcript.pyannote[615].speaker |
SPEAKER_10 |
transcript.pyannote[615].start |
4813.33784375 |
transcript.pyannote[615].end |
4817.84346875 |
transcript.pyannote[616].speaker |
SPEAKER_15 |
transcript.pyannote[616].start |
4815.43034375 |
transcript.pyannote[616].end |
4823.15909375 |
transcript.pyannote[617].speaker |
SPEAKER_15 |
transcript.pyannote[617].start |
4823.20971875 |
transcript.pyannote[617].end |
4824.96471875 |
transcript.pyannote[618].speaker |
SPEAKER_10 |
transcript.pyannote[618].start |
4824.96471875 |
transcript.pyannote[618].end |
4825.50471875 |
transcript.pyannote[619].speaker |
SPEAKER_15 |
transcript.pyannote[619].start |
4825.50471875 |
transcript.pyannote[619].end |
4825.92659375 |
transcript.pyannote[620].speaker |
SPEAKER_10 |
transcript.pyannote[620].start |
4825.92659375 |
transcript.pyannote[620].end |
4830.41534375 |
transcript.pyannote[621].speaker |
SPEAKER_10 |
transcript.pyannote[621].start |
4830.51659375 |
transcript.pyannote[621].end |
4850.10846875 |
transcript.pyannote[622].speaker |
SPEAKER_00 |
transcript.pyannote[622].start |
4833.45284375 |
transcript.pyannote[622].end |
4833.53721875 |
transcript.pyannote[623].speaker |
SPEAKER_15 |
transcript.pyannote[623].start |
4846.04159375 |
transcript.pyannote[623].end |
4847.91471875 |
transcript.pyannote[624].speaker |
SPEAKER_10 |
transcript.pyannote[624].start |
4850.27721875 |
transcript.pyannote[624].end |
4857.14534375 |
transcript.pyannote[625].speaker |
SPEAKER_15 |
transcript.pyannote[625].start |
4850.46284375 |
transcript.pyannote[625].end |
4850.85096875 |
transcript.pyannote[626].speaker |
SPEAKER_15 |
transcript.pyannote[626].start |
4852.97721875 |
transcript.pyannote[626].end |
4853.39909375 |
transcript.pyannote[627].speaker |
SPEAKER_15 |
transcript.pyannote[627].start |
4857.14534375 |
transcript.pyannote[627].end |
4891.31721875 |
transcript.pyannote[628].speaker |
SPEAKER_00 |
transcript.pyannote[628].start |
4866.25784375 |
transcript.pyannote[628].end |
4867.03409375 |
transcript.pyannote[629].speaker |
SPEAKER_13 |
transcript.pyannote[629].start |
4867.03409375 |
transcript.pyannote[629].end |
4867.30409375 |
transcript.pyannote[630].speaker |
SPEAKER_00 |
transcript.pyannote[630].start |
4867.30409375 |
transcript.pyannote[630].end |
4867.37159375 |
transcript.pyannote[631].speaker |
SPEAKER_13 |
transcript.pyannote[631].start |
4891.31721875 |
transcript.pyannote[631].end |
4891.51971875 |
transcript.pyannote[632].speaker |
SPEAKER_15 |
transcript.pyannote[632].start |
4891.51971875 |
transcript.pyannote[632].end |
4907.11221875 |
transcript.pyannote[633].speaker |
SPEAKER_15 |
transcript.pyannote[633].start |
4907.31471875 |
transcript.pyannote[633].end |
4911.51659375 |
transcript.pyannote[634].speaker |
SPEAKER_10 |
transcript.pyannote[634].start |
4911.51659375 |
transcript.pyannote[634].end |
4912.30971875 |
transcript.pyannote[635].speaker |
SPEAKER_10 |
transcript.pyannote[635].start |
4912.86659375 |
transcript.pyannote[635].end |
4917.33846875 |
transcript.pyannote[636].speaker |
SPEAKER_10 |
transcript.pyannote[636].start |
4917.43971875 |
transcript.pyannote[636].end |
4931.20971875 |
transcript.pyannote[637].speaker |
SPEAKER_15 |
transcript.pyannote[637].start |
4922.55284375 |
transcript.pyannote[637].end |
4922.95784375 |
transcript.pyannote[638].speaker |
SPEAKER_15 |
transcript.pyannote[638].start |
4930.41659375 |
transcript.pyannote[638].end |
4935.49596875 |
transcript.pyannote[639].speaker |
SPEAKER_10 |
transcript.pyannote[639].start |
4932.79596875 |
transcript.pyannote[639].end |
4940.40659375 |
transcript.pyannote[640].speaker |
SPEAKER_15 |
transcript.pyannote[640].start |
4939.88346875 |
transcript.pyannote[640].end |
4944.87846875 |
transcript.pyannote[641].speaker |
SPEAKER_10 |
transcript.pyannote[641].start |
4941.45284375 |
transcript.pyannote[641].end |
4942.85346875 |
transcript.pyannote[642].speaker |
SPEAKER_10 |
transcript.pyannote[642].start |
4943.57909375 |
transcript.pyannote[642].end |
4951.35846875 |
transcript.pyannote[643].speaker |
SPEAKER_15 |
transcript.pyannote[643].start |
4950.44721875 |
transcript.pyannote[643].end |
4950.56534375 |
transcript.pyannote[644].speaker |
SPEAKER_10 |
transcript.pyannote[644].start |
4951.74659375 |
transcript.pyannote[644].end |
4956.64034375 |
transcript.pyannote[645].speaker |
SPEAKER_15 |
transcript.pyannote[645].start |
4956.23534375 |
transcript.pyannote[645].end |
4974.30846875 |
transcript.pyannote[646].speaker |
SPEAKER_10 |
transcript.pyannote[646].start |
4964.06534375 |
transcript.pyannote[646].end |
4964.53784375 |
transcript.pyannote[647].speaker |
SPEAKER_10 |
transcript.pyannote[647].start |
4973.86971875 |
transcript.pyannote[647].end |
4974.94971875 |
transcript.pyannote[648].speaker |
SPEAKER_15 |
transcript.pyannote[648].start |
4974.94971875 |
transcript.pyannote[648].end |
4988.68596875 |
transcript.pyannote[649].speaker |
SPEAKER_15 |
transcript.pyannote[649].start |
4988.95596875 |
transcript.pyannote[649].end |
4992.14534375 |
transcript.pyannote[650].speaker |
SPEAKER_10 |
transcript.pyannote[650].start |
4992.14534375 |
transcript.pyannote[650].end |
4992.92159375 |
transcript.pyannote[651].speaker |
SPEAKER_15 |
transcript.pyannote[651].start |
4992.92159375 |
transcript.pyannote[651].end |
4992.93846875 |
transcript.pyannote[652].speaker |
SPEAKER_10 |
transcript.pyannote[652].start |
4992.93846875 |
transcript.pyannote[652].end |
4999.09784375 |
transcript.pyannote[653].speaker |
SPEAKER_15 |
transcript.pyannote[653].start |
4995.80721875 |
transcript.pyannote[653].end |
4997.54534375 |
transcript.pyannote[654].speaker |
SPEAKER_15 |
transcript.pyannote[654].start |
4998.57471875 |
transcript.pyannote[654].end |
4998.97971875 |
transcript.pyannote[655].speaker |
SPEAKER_15 |
transcript.pyannote[655].start |
4999.09784375 |
transcript.pyannote[655].end |
5010.85971875 |
transcript.pyannote[656].speaker |
SPEAKER_10 |
transcript.pyannote[656].start |
4999.11471875 |
transcript.pyannote[656].end |
4999.18221875 |
transcript.pyannote[657].speaker |
SPEAKER_10 |
transcript.pyannote[657].start |
5006.03346875 |
transcript.pyannote[657].end |
5008.71659375 |
transcript.pyannote[658].speaker |
SPEAKER_10 |
transcript.pyannote[658].start |
5010.06659375 |
transcript.pyannote[658].end |
5021.94659375 |
transcript.pyannote[659].speaker |
SPEAKER_15 |
transcript.pyannote[659].start |
5021.45721875 |
transcript.pyannote[659].end |
5031.26159375 |
transcript.pyannote[660].speaker |
SPEAKER_10 |
transcript.pyannote[660].start |
5025.28784375 |
transcript.pyannote[660].end |
5025.30471875 |
transcript.pyannote[661].speaker |
SPEAKER_13 |
transcript.pyannote[661].start |
5025.30471875 |
transcript.pyannote[661].end |
5025.35534375 |
transcript.pyannote[662].speaker |
SPEAKER_10 |
transcript.pyannote[662].start |
5025.35534375 |
transcript.pyannote[662].end |
5025.86159375 |
transcript.pyannote[663].speaker |
SPEAKER_13 |
transcript.pyannote[663].start |
5030.60346875 |
transcript.pyannote[663].end |
5031.63284375 |
transcript.pyannote[664].speaker |
SPEAKER_15 |
transcript.pyannote[664].start |
5031.63284375 |
transcript.pyannote[664].end |
5041.08284375 |
transcript.pyannote[665].speaker |
SPEAKER_10 |
transcript.pyannote[665].start |
5039.44596875 |
transcript.pyannote[665].end |
5043.34409375 |
transcript.pyannote[666].speaker |
SPEAKER_15 |
transcript.pyannote[666].start |
5043.34409375 |
transcript.pyannote[666].end |
5043.37784375 |
transcript.pyannote[667].speaker |
SPEAKER_10 |
transcript.pyannote[667].start |
5043.37784375 |
transcript.pyannote[667].end |
5044.17096875 |
transcript.pyannote[668].speaker |
SPEAKER_15 |
transcript.pyannote[668].start |
5044.17096875 |
transcript.pyannote[668].end |
5044.54221875 |
transcript.pyannote[669].speaker |
SPEAKER_15 |
transcript.pyannote[669].start |
5044.67721875 |
transcript.pyannote[669].end |
5086.57784375 |
transcript.pyannote[670].speaker |
SPEAKER_10 |
transcript.pyannote[670].start |
5080.82346875 |
transcript.pyannote[670].end |
5081.61659375 |
transcript.pyannote[671].speaker |
SPEAKER_10 |
transcript.pyannote[671].start |
5083.40534375 |
transcript.pyannote[671].end |
5083.84409375 |
transcript.pyannote[672].speaker |
SPEAKER_10 |
transcript.pyannote[672].start |
5085.14346875 |
transcript.pyannote[672].end |
5085.24471875 |
transcript.pyannote[673].speaker |
SPEAKER_10 |
transcript.pyannote[673].start |
5085.29534375 |
transcript.pyannote[673].end |
5085.51471875 |
transcript.pyannote[674].speaker |
SPEAKER_10 |
transcript.pyannote[674].start |
5086.88159375 |
transcript.pyannote[674].end |
5089.90221875 |
transcript.pyannote[675].speaker |
SPEAKER_10 |
transcript.pyannote[675].start |
5090.12159375 |
transcript.pyannote[675].end |
5090.72909375 |
transcript.pyannote[676].speaker |
SPEAKER_07 |
transcript.pyannote[676].start |
5091.53909375 |
transcript.pyannote[676].end |
5092.36596875 |
transcript.pyannote[677].speaker |
SPEAKER_07 |
transcript.pyannote[677].start |
5098.03596875 |
transcript.pyannote[677].end |
5100.98909375 |
transcript.pyannote[678].speaker |
SPEAKER_11 |
transcript.pyannote[678].start |
5112.70034375 |
transcript.pyannote[678].end |
5114.79284375 |
transcript.pyannote[679].speaker |
SPEAKER_07 |
transcript.pyannote[679].start |
5115.53534375 |
transcript.pyannote[679].end |
5116.58159375 |
transcript.pyannote[680].speaker |
SPEAKER_11 |
transcript.pyannote[680].start |
5123.31471875 |
transcript.pyannote[680].end |
5125.23846875 |
transcript.pyannote[681].speaker |
SPEAKER_07 |
transcript.pyannote[681].start |
5123.70284375 |
transcript.pyannote[681].end |
5123.92221875 |
transcript.pyannote[682].speaker |
SPEAKER_11 |
transcript.pyannote[682].start |
5126.16659375 |
transcript.pyannote[682].end |
5129.42346875 |
transcript.pyannote[683].speaker |
SPEAKER_11 |
transcript.pyannote[683].start |
5130.18284375 |
transcript.pyannote[683].end |
5131.02659375 |
transcript.pyannote[684].speaker |
SPEAKER_11 |
transcript.pyannote[684].start |
5131.17846875 |
transcript.pyannote[684].end |
5132.93346875 |
transcript.pyannote[685].speaker |
SPEAKER_11 |
transcript.pyannote[685].start |
5133.65909375 |
transcript.pyannote[685].end |
5138.28284375 |
transcript.pyannote[686].speaker |
SPEAKER_11 |
transcript.pyannote[686].start |
5138.89034375 |
transcript.pyannote[686].end |
5143.48034375 |
transcript.pyannote[687].speaker |
SPEAKER_11 |
transcript.pyannote[687].start |
5143.85159375 |
transcript.pyannote[687].end |
5145.04971875 |
transcript.pyannote[688].speaker |
SPEAKER_11 |
transcript.pyannote[688].start |
5145.55596875 |
transcript.pyannote[688].end |
5147.98596875 |
transcript.pyannote[689].speaker |
SPEAKER_11 |
transcript.pyannote[689].start |
5148.71159375 |
transcript.pyannote[689].end |
5152.15409375 |
transcript.pyannote[690].speaker |
SPEAKER_11 |
transcript.pyannote[690].start |
5152.69409375 |
transcript.pyannote[690].end |
5155.63034375 |
transcript.pyannote[691].speaker |
SPEAKER_11 |
transcript.pyannote[691].start |
5155.95096875 |
transcript.pyannote[691].end |
5157.97596875 |
transcript.pyannote[692].speaker |
SPEAKER_11 |
transcript.pyannote[692].start |
5158.49909375 |
transcript.pyannote[692].end |
5161.14846875 |
transcript.pyannote[693].speaker |
SPEAKER_11 |
transcript.pyannote[693].start |
5161.68846875 |
transcript.pyannote[693].end |
5172.79221875 |
transcript.pyannote[694].speaker |
SPEAKER_11 |
transcript.pyannote[694].start |
5173.19721875 |
transcript.pyannote[694].end |
5175.88034375 |
transcript.pyannote[695].speaker |
SPEAKER_11 |
transcript.pyannote[695].start |
5176.36971875 |
transcript.pyannote[695].end |
5177.95596875 |
transcript.pyannote[696].speaker |
SPEAKER_11 |
transcript.pyannote[696].start |
5178.47909375 |
transcript.pyannote[696].end |
5179.67721875 |
transcript.pyannote[697].speaker |
SPEAKER_11 |
transcript.pyannote[697].start |
5180.33534375 |
transcript.pyannote[697].end |
5182.63034375 |
transcript.pyannote[698].speaker |
SPEAKER_11 |
transcript.pyannote[698].start |
5183.13659375 |
transcript.pyannote[698].end |
5185.65096875 |
transcript.pyannote[699].speaker |
SPEAKER_11 |
transcript.pyannote[699].start |
5186.17409375 |
transcript.pyannote[699].end |
5188.08096875 |
transcript.pyannote[700].speaker |
SPEAKER_11 |
transcript.pyannote[700].start |
5188.68846875 |
transcript.pyannote[700].end |
5189.61659375 |
transcript.pyannote[701].speaker |
SPEAKER_11 |
transcript.pyannote[701].start |
5190.25784375 |
transcript.pyannote[701].end |
5192.99159375 |
transcript.pyannote[702].speaker |
SPEAKER_11 |
transcript.pyannote[702].start |
5193.34596875 |
transcript.pyannote[702].end |
5200.04534375 |
transcript.pyannote[703].speaker |
SPEAKER_11 |
transcript.pyannote[703].start |
5200.90596875 |
transcript.pyannote[703].end |
5202.57659375 |
transcript.pyannote[704].speaker |
SPEAKER_11 |
transcript.pyannote[704].start |
5202.96471875 |
transcript.pyannote[704].end |
5207.16659375 |
transcript.pyannote[705].speaker |
SPEAKER_11 |
transcript.pyannote[705].start |
5207.55471875 |
transcript.pyannote[705].end |
5208.26346875 |
transcript.pyannote[706].speaker |
SPEAKER_11 |
transcript.pyannote[706].start |
5209.37721875 |
transcript.pyannote[706].end |
5214.54096875 |
transcript.pyannote[707].speaker |
SPEAKER_11 |
transcript.pyannote[707].start |
5214.77721875 |
transcript.pyannote[707].end |
5216.56596875 |
transcript.pyannote[708].speaker |
SPEAKER_11 |
transcript.pyannote[708].start |
5216.78534375 |
transcript.pyannote[708].end |
5221.61159375 |
transcript.pyannote[709].speaker |
SPEAKER_11 |
transcript.pyannote[709].start |
5222.28659375 |
transcript.pyannote[709].end |
5223.46784375 |
transcript.pyannote[710].speaker |
SPEAKER_11 |
transcript.pyannote[710].start |
5224.39596875 |
transcript.pyannote[710].end |
5227.88909375 |
transcript.pyannote[711].speaker |
SPEAKER_11 |
transcript.pyannote[711].start |
5228.49659375 |
transcript.pyannote[711].end |
5230.15034375 |
transcript.pyannote[712].speaker |
SPEAKER_11 |
transcript.pyannote[712].start |
5230.74096875 |
transcript.pyannote[712].end |
5235.90471875 |
transcript.pyannote[713].speaker |
SPEAKER_11 |
transcript.pyannote[713].start |
5236.49534375 |
transcript.pyannote[713].end |
5240.81534375 |
transcript.pyannote[714].speaker |
SPEAKER_11 |
transcript.pyannote[714].start |
5242.06409375 |
transcript.pyannote[714].end |
5243.39721875 |
transcript.pyannote[715].speaker |
SPEAKER_11 |
transcript.pyannote[715].start |
5245.03409375 |
transcript.pyannote[715].end |
5245.87784375 |
transcript.pyannote[716].speaker |
SPEAKER_11 |
transcript.pyannote[716].start |
5246.85659375 |
transcript.pyannote[716].end |
5248.02096875 |
transcript.pyannote[717].speaker |
SPEAKER_11 |
transcript.pyannote[717].start |
5248.32471875 |
transcript.pyannote[717].end |
5248.91534375 |
transcript.pyannote[718].speaker |
SPEAKER_11 |
transcript.pyannote[718].start |
5249.11784375 |
transcript.pyannote[718].end |
5250.16409375 |
transcript.pyannote[719].speaker |
SPEAKER_11 |
transcript.pyannote[719].start |
5250.97409375 |
transcript.pyannote[719].end |
5252.23971875 |
transcript.pyannote[720].speaker |
SPEAKER_11 |
transcript.pyannote[720].start |
5252.96534375 |
transcript.pyannote[720].end |
5254.24784375 |
transcript.pyannote[721].speaker |
SPEAKER_11 |
transcript.pyannote[721].start |
5254.48409375 |
transcript.pyannote[721].end |
5256.93096875 |
transcript.pyannote[722].speaker |
SPEAKER_11 |
transcript.pyannote[722].start |
5257.55534375 |
transcript.pyannote[722].end |
5258.19659375 |
transcript.pyannote[723].speaker |
SPEAKER_11 |
transcript.pyannote[723].start |
5259.22596875 |
transcript.pyannote[723].end |
5259.91784375 |
transcript.pyannote[724].speaker |
SPEAKER_11 |
transcript.pyannote[724].start |
5260.79534375 |
transcript.pyannote[724].end |
5261.26784375 |
transcript.pyannote[725].speaker |
SPEAKER_11 |
transcript.pyannote[725].start |
5262.41534375 |
transcript.pyannote[725].end |
5265.45284375 |
transcript.pyannote[726].speaker |
SPEAKER_11 |
transcript.pyannote[726].start |
5265.99284375 |
transcript.pyannote[726].end |
5268.05159375 |
transcript.pyannote[727].speaker |
SPEAKER_11 |
transcript.pyannote[727].start |
5269.41846875 |
transcript.pyannote[727].end |
5269.45221875 |
transcript.pyannote[728].speaker |
SPEAKER_10 |
transcript.pyannote[728].start |
5269.45221875 |
transcript.pyannote[728].end |
5270.88659375 |
transcript.pyannote[729].speaker |
SPEAKER_10 |
transcript.pyannote[729].start |
5271.47721875 |
transcript.pyannote[729].end |
5286.22596875 |
transcript.pyannote[730].speaker |
SPEAKER_10 |
transcript.pyannote[730].start |
5286.51284375 |
transcript.pyannote[730].end |
5292.19971875 |
transcript.pyannote[731].speaker |
SPEAKER_11 |
transcript.pyannote[731].start |
5293.29659375 |
transcript.pyannote[731].end |
5295.05159375 |
transcript.pyannote[732].speaker |
SPEAKER_11 |
transcript.pyannote[732].start |
5296.30034375 |
transcript.pyannote[732].end |
5297.88659375 |
transcript.pyannote[733].speaker |
SPEAKER_11 |
transcript.pyannote[733].start |
5298.56159375 |
transcript.pyannote[733].end |
5300.23221875 |
transcript.pyannote[734].speaker |
SPEAKER_11 |
transcript.pyannote[734].start |
5300.92409375 |
transcript.pyannote[734].end |
5303.13471875 |
transcript.pyannote[735].speaker |
SPEAKER_11 |
transcript.pyannote[735].start |
5303.99534375 |
transcript.pyannote[735].end |
5305.58159375 |
transcript.pyannote[736].speaker |
SPEAKER_11 |
transcript.pyannote[736].start |
5305.95284375 |
transcript.pyannote[736].end |
5309.59784375 |
transcript.pyannote[737].speaker |
SPEAKER_11 |
transcript.pyannote[737].start |
5310.20534375 |
transcript.pyannote[737].end |
5310.50909375 |
transcript.pyannote[738].speaker |
SPEAKER_11 |
transcript.pyannote[738].start |
5310.81284375 |
transcript.pyannote[738].end |
5313.69846875 |
transcript.pyannote[739].speaker |
SPEAKER_11 |
transcript.pyannote[739].start |
5314.64346875 |
transcript.pyannote[739].end |
5317.05659375 |
transcript.pyannote[740].speaker |
SPEAKER_11 |
transcript.pyannote[740].start |
5317.24221875 |
transcript.pyannote[740].end |
5318.55846875 |
transcript.pyannote[741].speaker |
SPEAKER_11 |
transcript.pyannote[741].start |
5319.26721875 |
transcript.pyannote[741].end |
5320.56659375 |
transcript.pyannote[742].speaker |
SPEAKER_11 |
transcript.pyannote[742].start |
5321.64659375 |
transcript.pyannote[742].end |
5322.62534375 |
transcript.pyannote[743].speaker |
SPEAKER_11 |
transcript.pyannote[743].start |
5323.62096875 |
transcript.pyannote[743].end |
5326.79346875 |
transcript.pyannote[744].speaker |
SPEAKER_11 |
transcript.pyannote[744].start |
5328.17721875 |
transcript.pyannote[744].end |
5328.37971875 |
transcript.pyannote[745].speaker |
SPEAKER_11 |
transcript.pyannote[745].start |
5328.61596875 |
transcript.pyannote[745].end |
5332.27784375 |
transcript.pyannote[746].speaker |
SPEAKER_11 |
transcript.pyannote[746].start |
5332.95284375 |
transcript.pyannote[746].end |
5334.08346875 |
transcript.pyannote[747].speaker |
SPEAKER_11 |
transcript.pyannote[747].start |
5334.47159375 |
transcript.pyannote[747].end |
5337.98159375 |
transcript.pyannote[748].speaker |
SPEAKER_11 |
transcript.pyannote[748].start |
5338.55534375 |
transcript.pyannote[748].end |
5339.68596875 |
transcript.pyannote[749].speaker |
SPEAKER_11 |
transcript.pyannote[749].start |
5339.83784375 |
transcript.pyannote[749].end |
5340.85034375 |
transcript.pyannote[750].speaker |
SPEAKER_11 |
transcript.pyannote[750].start |
5341.52534375 |
transcript.pyannote[750].end |
5342.50409375 |
transcript.pyannote[751].speaker |
SPEAKER_11 |
transcript.pyannote[751].start |
5342.82471875 |
transcript.pyannote[751].end |
5344.47846875 |
transcript.pyannote[752].speaker |
SPEAKER_11 |
transcript.pyannote[752].start |
5345.05221875 |
transcript.pyannote[752].end |
5348.52846875 |
transcript.pyannote[753].speaker |
SPEAKER_11 |
transcript.pyannote[753].start |
5349.03471875 |
transcript.pyannote[753].end |
5352.17346875 |
transcript.pyannote[754].speaker |
SPEAKER_11 |
transcript.pyannote[754].start |
5352.52784375 |
transcript.pyannote[754].end |
5354.31659375 |
transcript.pyannote[755].speaker |
SPEAKER_11 |
transcript.pyannote[755].start |
5354.67096875 |
transcript.pyannote[755].end |
5357.82659375 |
transcript.pyannote[756].speaker |
SPEAKER_11 |
transcript.pyannote[756].start |
5358.31596875 |
transcript.pyannote[756].end |
5359.53096875 |
transcript.pyannote[757].speaker |
SPEAKER_11 |
transcript.pyannote[757].start |
5360.20596875 |
transcript.pyannote[757].end |
5361.72471875 |
transcript.pyannote[758].speaker |
SPEAKER_11 |
transcript.pyannote[758].start |
5362.06221875 |
transcript.pyannote[758].end |
5365.84221875 |
transcript.pyannote[759].speaker |
SPEAKER_11 |
transcript.pyannote[759].start |
5366.29784375 |
transcript.pyannote[759].end |
5374.53284375 |
transcript.pyannote[760].speaker |
SPEAKER_11 |
transcript.pyannote[760].start |
5375.17409375 |
transcript.pyannote[760].end |
5376.35534375 |
transcript.pyannote[761].speaker |
SPEAKER_11 |
transcript.pyannote[761].start |
5377.23284375 |
transcript.pyannote[761].end |
5379.03846875 |
transcript.pyannote[762].speaker |
SPEAKER_11 |
transcript.pyannote[762].start |
5379.59534375 |
transcript.pyannote[762].end |
5381.46846875 |
transcript.pyannote[763].speaker |
SPEAKER_11 |
transcript.pyannote[763].start |
5382.37971875 |
transcript.pyannote[763].end |
5383.49346875 |
transcript.pyannote[764].speaker |
SPEAKER_11 |
transcript.pyannote[764].start |
5384.65784375 |
transcript.pyannote[764].end |
5389.39971875 |
transcript.pyannote[765].speaker |
SPEAKER_11 |
transcript.pyannote[765].start |
5390.42909375 |
transcript.pyannote[765].end |
5391.67784375 |
transcript.pyannote[766].speaker |
SPEAKER_11 |
transcript.pyannote[766].start |
5393.28096875 |
transcript.pyannote[766].end |
5394.51284375 |
transcript.pyannote[767].speaker |
SPEAKER_11 |
transcript.pyannote[767].start |
5395.44096875 |
transcript.pyannote[767].end |
5396.94284375 |
transcript.pyannote[768].speaker |
SPEAKER_11 |
transcript.pyannote[768].start |
5397.56721875 |
transcript.pyannote[768].end |
5397.88784375 |
transcript.pyannote[769].speaker |
SPEAKER_11 |
transcript.pyannote[769].start |
5398.34346875 |
transcript.pyannote[769].end |
5399.01846875 |
transcript.pyannote[770].speaker |
SPEAKER_11 |
transcript.pyannote[770].start |
5399.42346875 |
transcript.pyannote[770].end |
5400.68909375 |
transcript.pyannote[771].speaker |
SPEAKER_11 |
transcript.pyannote[771].start |
5400.97596875 |
transcript.pyannote[771].end |
5404.84034375 |
transcript.pyannote[772].speaker |
SPEAKER_11 |
transcript.pyannote[772].start |
5405.04284375 |
transcript.pyannote[772].end |
5406.56159375 |
transcript.pyannote[773].speaker |
SPEAKER_11 |
transcript.pyannote[773].start |
5406.93284375 |
transcript.pyannote[773].end |
5407.20284375 |
transcript.pyannote[774].speaker |
SPEAKER_11 |
transcript.pyannote[774].start |
5407.64159375 |
transcript.pyannote[774].end |
5408.83971875 |
transcript.pyannote[775].speaker |
SPEAKER_11 |
transcript.pyannote[775].start |
5409.29534375 |
transcript.pyannote[775].end |
5412.87284375 |
transcript.pyannote[776].speaker |
SPEAKER_11 |
transcript.pyannote[776].start |
5413.53096875 |
transcript.pyannote[776].end |
5415.28596875 |
transcript.pyannote[777].speaker |
SPEAKER_11 |
transcript.pyannote[777].start |
5415.92721875 |
transcript.pyannote[777].end |
5417.47971875 |
transcript.pyannote[778].speaker |
SPEAKER_11 |
transcript.pyannote[778].start |
5418.25596875 |
transcript.pyannote[778].end |
5421.44534375 |
transcript.pyannote[779].speaker |
SPEAKER_11 |
transcript.pyannote[779].start |
5421.86721875 |
transcript.pyannote[779].end |
5422.84596875 |
transcript.pyannote[780].speaker |
SPEAKER_11 |
transcript.pyannote[780].start |
5424.17909375 |
transcript.pyannote[780].end |
5424.73596875 |
transcript.pyannote[781].speaker |
SPEAKER_11 |
transcript.pyannote[781].start |
5425.05659375 |
transcript.pyannote[781].end |
5425.84971875 |
transcript.pyannote[782].speaker |
SPEAKER_11 |
transcript.pyannote[782].start |
5427.30096875 |
transcript.pyannote[782].end |
5428.81971875 |
transcript.pyannote[783].speaker |
SPEAKER_11 |
transcript.pyannote[783].start |
5429.68034375 |
transcript.pyannote[783].end |
5432.59971875 |
transcript.pyannote[784].speaker |
SPEAKER_11 |
transcript.pyannote[784].start |
5433.73034375 |
transcript.pyannote[784].end |
5434.25346875 |
transcript.pyannote[785].speaker |
SPEAKER_10 |
transcript.pyannote[785].start |
5434.25346875 |
transcript.pyannote[785].end |
5434.27034375 |
transcript.pyannote[786].speaker |
SPEAKER_11 |
transcript.pyannote[786].start |
5435.14784375 |
transcript.pyannote[786].end |
5436.34596875 |
transcript.pyannote[787].speaker |
SPEAKER_10 |
transcript.pyannote[787].start |
5436.34596875 |
transcript.pyannote[787].end |
5436.36284375 |
transcript.pyannote[788].speaker |
SPEAKER_10 |
transcript.pyannote[788].start |
5438.01659375 |
transcript.pyannote[788].end |
5439.38346875 |
transcript.pyannote[789].speaker |
SPEAKER_10 |
transcript.pyannote[789].start |
5439.90659375 |
transcript.pyannote[789].end |
5443.85534375 |
transcript.pyannote[790].speaker |
SPEAKER_11 |
transcript.pyannote[790].start |
5440.54784375 |
transcript.pyannote[790].end |
5440.88534375 |
transcript.pyannote[791].speaker |
SPEAKER_11 |
transcript.pyannote[791].start |
5442.65721875 |
transcript.pyannote[791].end |
5443.51784375 |
transcript.pyannote[792].speaker |
SPEAKER_10 |
transcript.pyannote[792].start |
5444.24346875 |
transcript.pyannote[792].end |
5446.47096875 |
transcript.pyannote[793].speaker |
SPEAKER_11 |
transcript.pyannote[793].start |
5444.86784375 |
transcript.pyannote[793].end |
5448.86721875 |
transcript.pyannote[794].speaker |
SPEAKER_10 |
transcript.pyannote[794].start |
5448.86721875 |
transcript.pyannote[794].end |
5449.17096875 |
transcript.pyannote[795].speaker |
SPEAKER_11 |
transcript.pyannote[795].start |
5449.17096875 |
transcript.pyannote[795].end |
5449.18784375 |
transcript.pyannote[796].speaker |
SPEAKER_10 |
transcript.pyannote[796].start |
5449.18784375 |
transcript.pyannote[796].end |
5449.20471875 |
transcript.pyannote[797].speaker |
SPEAKER_11 |
transcript.pyannote[797].start |
5449.49159375 |
transcript.pyannote[797].end |
5449.79534375 |
transcript.pyannote[798].speaker |
SPEAKER_11 |
transcript.pyannote[798].start |
5450.40284375 |
transcript.pyannote[798].end |
5452.09034375 |
transcript.pyannote[799].speaker |
SPEAKER_10 |
transcript.pyannote[799].start |
5450.72346875 |
transcript.pyannote[799].end |
5454.23346875 |
transcript.pyannote[800].speaker |
SPEAKER_10 |
transcript.pyannote[800].start |
5454.72284375 |
transcript.pyannote[800].end |
5458.62096875 |
transcript.pyannote[801].speaker |
SPEAKER_13 |
transcript.pyannote[801].start |
5457.69284375 |
transcript.pyannote[801].end |
5458.55346875 |
transcript.pyannote[802].speaker |
SPEAKER_13 |
transcript.pyannote[802].start |
5458.62096875 |
transcript.pyannote[802].end |
5458.63784375 |
transcript.pyannote[803].speaker |
SPEAKER_10 |
transcript.pyannote[803].start |
5459.14409375 |
transcript.pyannote[803].end |
5461.23659375 |
transcript.pyannote[804].speaker |
SPEAKER_10 |
transcript.pyannote[804].start |
5461.40534375 |
transcript.pyannote[804].end |
5472.91409375 |
transcript.pyannote[805].speaker |
SPEAKER_13 |
transcript.pyannote[805].start |
5462.13096875 |
transcript.pyannote[805].end |
5463.29534375 |
transcript.pyannote[806].speaker |
SPEAKER_11 |
transcript.pyannote[806].start |
5472.91409375 |
transcript.pyannote[806].end |
5472.98159375 |
transcript.pyannote[807].speaker |
SPEAKER_11 |
transcript.pyannote[807].start |
5473.28534375 |
transcript.pyannote[807].end |
5473.33596875 |
transcript.pyannote[808].speaker |
SPEAKER_10 |
transcript.pyannote[808].start |
5473.33596875 |
transcript.pyannote[808].end |
5473.82534375 |
transcript.pyannote[809].speaker |
SPEAKER_11 |
transcript.pyannote[809].start |
5473.82534375 |
transcript.pyannote[809].end |
5473.92659375 |
transcript.pyannote[810].speaker |
SPEAKER_11 |
transcript.pyannote[810].start |
5474.23034375 |
transcript.pyannote[810].end |
5480.52471875 |
transcript.pyannote[811].speaker |
SPEAKER_11 |
transcript.pyannote[811].start |
5480.98034375 |
transcript.pyannote[811].end |
5490.14346875 |
transcript.pyannote[812].speaker |
SPEAKER_10 |
transcript.pyannote[812].start |
5489.45159375 |
transcript.pyannote[812].end |
5491.17284375 |
transcript.pyannote[813].speaker |
SPEAKER_11 |
transcript.pyannote[813].start |
5491.45971875 |
transcript.pyannote[813].end |
5494.66596875 |
transcript.pyannote[814].speaker |
SPEAKER_11 |
transcript.pyannote[814].start |
5495.17221875 |
transcript.pyannote[814].end |
5497.11284375 |
transcript.pyannote[815].speaker |
SPEAKER_11 |
transcript.pyannote[815].start |
5498.00721875 |
transcript.pyannote[815].end |
5500.26846875 |
transcript.pyannote[816].speaker |
SPEAKER_11 |
transcript.pyannote[816].start |
5501.01096875 |
transcript.pyannote[816].end |
5502.24284375 |
transcript.pyannote[817].speaker |
SPEAKER_11 |
transcript.pyannote[817].start |
5502.58034375 |
transcript.pyannote[817].end |
5503.44096875 |
transcript.pyannote[818].speaker |
SPEAKER_11 |
transcript.pyannote[818].start |
5504.68971875 |
transcript.pyannote[818].end |
5505.11159375 |
transcript.pyannote[819].speaker |
SPEAKER_11 |
transcript.pyannote[819].start |
5505.61784375 |
transcript.pyannote[819].end |
5507.27159375 |
transcript.pyannote[820].speaker |
SPEAKER_11 |
transcript.pyannote[820].start |
5507.57534375 |
transcript.pyannote[820].end |
5508.04784375 |
transcript.pyannote[821].speaker |
SPEAKER_11 |
transcript.pyannote[821].start |
5508.23346875 |
transcript.pyannote[821].end |
5509.68471875 |
transcript.pyannote[822].speaker |
SPEAKER_11 |
transcript.pyannote[822].start |
5510.12346875 |
transcript.pyannote[822].end |
5517.34596875 |
transcript.pyannote[823].speaker |
SPEAKER_11 |
transcript.pyannote[823].start |
5517.98721875 |
transcript.pyannote[823].end |
5519.08409375 |
transcript.pyannote[824].speaker |
SPEAKER_11 |
transcript.pyannote[824].start |
5519.72534375 |
transcript.pyannote[824].end |
5520.43409375 |
transcript.pyannote[825].speaker |
SPEAKER_11 |
transcript.pyannote[825].start |
5521.51409375 |
transcript.pyannote[825].end |
5521.80096875 |
transcript.pyannote[826].speaker |
SPEAKER_11 |
transcript.pyannote[826].start |
5522.39159375 |
transcript.pyannote[826].end |
5523.28596875 |
transcript.pyannote[827].speaker |
SPEAKER_11 |
transcript.pyannote[827].start |
5524.16346875 |
transcript.pyannote[827].end |
5525.42909375 |
transcript.pyannote[828].speaker |
SPEAKER_11 |
transcript.pyannote[828].start |
5526.45846875 |
transcript.pyannote[828].end |
5528.43284375 |
transcript.pyannote[829].speaker |
SPEAKER_10 |
transcript.pyannote[829].start |
5528.43284375 |
transcript.pyannote[829].end |
5528.51721875 |
transcript.pyannote[830].speaker |
SPEAKER_11 |
transcript.pyannote[830].start |
5528.51721875 |
transcript.pyannote[830].end |
5528.53409375 |
transcript.pyannote[831].speaker |
SPEAKER_11 |
transcript.pyannote[831].start |
5528.60159375 |
transcript.pyannote[831].end |
5530.74471875 |
transcript.pyannote[832].speaker |
SPEAKER_10 |
transcript.pyannote[832].start |
5528.75346875 |
transcript.pyannote[832].end |
5533.86659375 |
transcript.pyannote[833].speaker |
SPEAKER_11 |
transcript.pyannote[833].start |
5536.38096875 |
transcript.pyannote[833].end |
5547.87284375 |
transcript.pyannote[834].speaker |
SPEAKER_10 |
transcript.pyannote[834].start |
5539.08096875 |
transcript.pyannote[834].end |
5541.24096875 |
transcript.pyannote[835].speaker |
SPEAKER_10 |
transcript.pyannote[835].start |
5541.47721875 |
transcript.pyannote[835].end |
5544.93659375 |
transcript.pyannote[836].speaker |
SPEAKER_11 |
transcript.pyannote[836].start |
5548.46346875 |
transcript.pyannote[836].end |
5550.43784375 |
transcript.pyannote[837].speaker |
SPEAKER_11 |
transcript.pyannote[837].start |
5551.46721875 |
transcript.pyannote[837].end |
5552.36159375 |
transcript.pyannote[838].speaker |
SPEAKER_11 |
transcript.pyannote[838].start |
5553.17159375 |
transcript.pyannote[838].end |
5554.63971875 |
transcript.pyannote[839].speaker |
SPEAKER_11 |
transcript.pyannote[839].start |
5554.90971875 |
transcript.pyannote[839].end |
5557.03596875 |
transcript.pyannote[840].speaker |
SPEAKER_11 |
transcript.pyannote[840].start |
5557.47471875 |
transcript.pyannote[840].end |
5557.76159375 |
transcript.pyannote[841].speaker |
SPEAKER_11 |
transcript.pyannote[841].start |
5558.45346875 |
transcript.pyannote[841].end |
5560.37721875 |
transcript.pyannote[842].speaker |
SPEAKER_11 |
transcript.pyannote[842].start |
5560.57971875 |
transcript.pyannote[842].end |
5560.98471875 |
transcript.pyannote[843].speaker |
SPEAKER_11 |
transcript.pyannote[843].start |
5561.11971875 |
transcript.pyannote[843].end |
5561.60909375 |
transcript.pyannote[844].speaker |
SPEAKER_11 |
transcript.pyannote[844].start |
5562.31784375 |
transcript.pyannote[844].end |
5565.52409375 |
transcript.pyannote[845].speaker |
SPEAKER_11 |
transcript.pyannote[845].start |
5566.31721875 |
transcript.pyannote[845].end |
5566.63784375 |
transcript.pyannote[846].speaker |
SPEAKER_11 |
transcript.pyannote[846].start |
5567.19471875 |
transcript.pyannote[846].end |
5569.25346875 |
transcript.pyannote[847].speaker |
SPEAKER_11 |
transcript.pyannote[847].start |
5569.97909375 |
transcript.pyannote[847].end |
5571.24471875 |
transcript.pyannote[848].speaker |
SPEAKER_11 |
transcript.pyannote[848].start |
5571.64971875 |
transcript.pyannote[848].end |
5573.13471875 |
transcript.pyannote[849].speaker |
SPEAKER_11 |
transcript.pyannote[849].start |
5573.62409375 |
transcript.pyannote[849].end |
5574.09659375 |
transcript.pyannote[850].speaker |
SPEAKER_11 |
transcript.pyannote[850].start |
5574.95721875 |
transcript.pyannote[850].end |
5575.29471875 |
transcript.pyannote[851].speaker |
SPEAKER_11 |
transcript.pyannote[851].start |
5575.93596875 |
transcript.pyannote[851].end |
5579.34471875 |
transcript.pyannote[852].speaker |
SPEAKER_10 |
transcript.pyannote[852].start |
5579.63159375 |
transcript.pyannote[852].end |
5591.05596875 |
transcript.pyannote[853].speaker |
SPEAKER_10 |
transcript.pyannote[853].start |
5591.29221875 |
transcript.pyannote[853].end |
5606.39534375 |
transcript.pyannote[854].speaker |
SPEAKER_11 |
transcript.pyannote[854].start |
5600.57346875 |
transcript.pyannote[854].end |
5602.46346875 |
transcript.pyannote[855].speaker |
SPEAKER_11 |
transcript.pyannote[855].start |
5604.11721875 |
transcript.pyannote[855].end |
5604.97784375 |
transcript.pyannote[856].speaker |
SPEAKER_11 |
transcript.pyannote[856].start |
5606.19284375 |
transcript.pyannote[856].end |
5615.13659375 |
transcript.pyannote[857].speaker |
SPEAKER_10 |
transcript.pyannote[857].start |
5611.35659375 |
transcript.pyannote[857].end |
5613.78659375 |
transcript.pyannote[858].speaker |
SPEAKER_11 |
transcript.pyannote[858].start |
5616.62159375 |
transcript.pyannote[858].end |
5617.11096875 |
transcript.pyannote[859].speaker |
SPEAKER_11 |
transcript.pyannote[859].start |
5617.87034375 |
transcript.pyannote[859].end |
5618.81534375 |
transcript.pyannote[860].speaker |
SPEAKER_11 |
transcript.pyannote[860].start |
5619.11909375 |
transcript.pyannote[860].end |
5621.59971875 |
transcript.pyannote[861].speaker |
SPEAKER_10 |
transcript.pyannote[861].start |
5621.34659375 |
transcript.pyannote[861].end |
5629.02471875 |
transcript.pyannote[862].speaker |
SPEAKER_11 |
transcript.pyannote[862].start |
5627.82659375 |
transcript.pyannote[862].end |
5633.20971875 |
transcript.pyannote[863].speaker |
SPEAKER_10 |
transcript.pyannote[863].start |
5630.42534375 |
transcript.pyannote[863].end |
5630.57721875 |
transcript.pyannote[864].speaker |
SPEAKER_10 |
transcript.pyannote[864].start |
5631.50534375 |
transcript.pyannote[864].end |
5632.04534375 |
transcript.pyannote[865].speaker |
SPEAKER_10 |
transcript.pyannote[865].start |
5632.73721875 |
transcript.pyannote[865].end |
5633.19284375 |
transcript.pyannote[866].speaker |
SPEAKER_11 |
transcript.pyannote[866].start |
5633.39534375 |
transcript.pyannote[866].end |
5634.07034375 |
transcript.pyannote[867].speaker |
SPEAKER_11 |
transcript.pyannote[867].start |
5635.67346875 |
transcript.pyannote[867].end |
5637.20909375 |
transcript.pyannote[868].speaker |
SPEAKER_11 |
transcript.pyannote[868].start |
5638.15409375 |
transcript.pyannote[868].end |
5638.71096875 |
transcript.pyannote[869].speaker |
SPEAKER_11 |
transcript.pyannote[869].start |
5639.40284375 |
transcript.pyannote[869].end |
5640.55034375 |
transcript.pyannote[870].speaker |
SPEAKER_11 |
transcript.pyannote[870].start |
5641.57971875 |
transcript.pyannote[870].end |
5642.42346875 |
transcript.pyannote[871].speaker |
SPEAKER_11 |
transcript.pyannote[871].start |
5643.40221875 |
transcript.pyannote[871].end |
5644.87034375 |
transcript.pyannote[872].speaker |
SPEAKER_11 |
transcript.pyannote[872].start |
5645.47784375 |
transcript.pyannote[872].end |
5645.76471875 |
transcript.pyannote[873].speaker |
SPEAKER_11 |
transcript.pyannote[873].start |
5645.91659375 |
transcript.pyannote[873].end |
5646.64221875 |
transcript.pyannote[874].speaker |
SPEAKER_11 |
transcript.pyannote[874].start |
5647.26659375 |
transcript.pyannote[874].end |
5647.57034375 |
transcript.pyannote[875].speaker |
SPEAKER_11 |
transcript.pyannote[875].start |
5647.94159375 |
transcript.pyannote[875].end |
5650.05096875 |
transcript.pyannote[876].speaker |
SPEAKER_11 |
transcript.pyannote[876].start |
5650.45596875 |
transcript.pyannote[876].end |
5655.14721875 |
transcript.pyannote[877].speaker |
SPEAKER_11 |
transcript.pyannote[877].start |
5655.65346875 |
transcript.pyannote[877].end |
5667.68534375 |
transcript.pyannote[878].speaker |
SPEAKER_07 |
transcript.pyannote[878].start |
5669.89596875 |
transcript.pyannote[878].end |
5670.72284375 |
transcript.pyannote[879].speaker |
SPEAKER_11 |
transcript.pyannote[879].start |
5681.87721875 |
transcript.pyannote[879].end |
5684.62784375 |
transcript.pyannote[880].speaker |
SPEAKER_07 |
transcript.pyannote[880].start |
5688.47534375 |
transcript.pyannote[880].end |
5689.11659375 |
transcript.pyannote[881].speaker |
SPEAKER_07 |
transcript.pyannote[881].start |
5689.31909375 |
transcript.pyannote[881].end |
5690.97284375 |
transcript.pyannote[882].speaker |
SPEAKER_11 |
transcript.pyannote[882].start |
5691.12471875 |
transcript.pyannote[882].end |
5691.90096875 |
transcript.pyannote[883].speaker |
SPEAKER_07 |
transcript.pyannote[883].start |
5697.09846875 |
transcript.pyannote[883].end |
5697.50346875 |
transcript.pyannote[884].speaker |
SPEAKER_13 |
transcript.pyannote[884].start |
5697.50346875 |
transcript.pyannote[884].end |
5697.97596875 |
transcript.pyannote[885].speaker |
SPEAKER_07 |
transcript.pyannote[885].start |
5697.55409375 |
transcript.pyannote[885].end |
5697.72284375 |
transcript.pyannote[886].speaker |
SPEAKER_07 |
transcript.pyannote[886].start |
5698.12784375 |
transcript.pyannote[886].end |
5701.04721875 |
transcript.pyannote[887].speaker |
SPEAKER_07 |
transcript.pyannote[887].start |
5701.55346875 |
transcript.pyannote[887].end |
5707.83096875 |
transcript.pyannote[888].speaker |
SPEAKER_13 |
transcript.pyannote[888].start |
5707.96596875 |
transcript.pyannote[888].end |
5708.32034375 |
transcript.pyannote[889].speaker |
SPEAKER_07 |
transcript.pyannote[889].start |
5708.26971875 |
transcript.pyannote[889].end |
5715.17159375 |
transcript.pyannote[890].speaker |
SPEAKER_07 |
transcript.pyannote[890].start |
5715.35721875 |
transcript.pyannote[890].end |
5718.64784375 |
transcript.pyannote[891].speaker |
SPEAKER_07 |
transcript.pyannote[891].start |
5719.18784375 |
transcript.pyannote[891].end |
5725.80284375 |
transcript.pyannote[892].speaker |
SPEAKER_07 |
transcript.pyannote[892].start |
5726.00534375 |
transcript.pyannote[892].end |
5739.62346875 |
transcript.pyannote[893].speaker |
SPEAKER_10 |
transcript.pyannote[893].start |
5738.74596875 |
transcript.pyannote[893].end |
5740.65284375 |
transcript.pyannote[894].speaker |
SPEAKER_07 |
transcript.pyannote[894].start |
5740.58534375 |
transcript.pyannote[894].end |
5742.49221875 |
transcript.pyannote[895].speaker |
SPEAKER_10 |
transcript.pyannote[895].start |
5742.01971875 |
transcript.pyannote[895].end |
5742.45846875 |
transcript.pyannote[896].speaker |
SPEAKER_07 |
transcript.pyannote[896].start |
5742.77909375 |
transcript.pyannote[896].end |
5746.86284375 |
transcript.pyannote[897].speaker |
SPEAKER_07 |
transcript.pyannote[897].start |
5747.53784375 |
transcript.pyannote[897].end |
5748.71909375 |
transcript.pyannote[898].speaker |
SPEAKER_07 |
transcript.pyannote[898].start |
5749.32659375 |
transcript.pyannote[898].end |
5777.57534375 |
transcript.pyannote[899].speaker |
SPEAKER_07 |
transcript.pyannote[899].start |
5777.62596875 |
transcript.pyannote[899].end |
5792.03721875 |
transcript.pyannote[900].speaker |
SPEAKER_13 |
transcript.pyannote[900].start |
5789.60721875 |
transcript.pyannote[900].end |
5789.77596875 |
transcript.pyannote[901].speaker |
SPEAKER_13 |
transcript.pyannote[901].start |
5789.99534375 |
transcript.pyannote[901].end |
5790.01221875 |
transcript.pyannote[902].speaker |
SPEAKER_07 |
transcript.pyannote[902].start |
5792.29034375 |
transcript.pyannote[902].end |
5797.60596875 |
transcript.pyannote[903].speaker |
SPEAKER_10 |
transcript.pyannote[903].start |
5798.24721875 |
transcript.pyannote[903].end |
5802.65159375 |
transcript.pyannote[904].speaker |
SPEAKER_10 |
transcript.pyannote[904].start |
5803.02284375 |
transcript.pyannote[904].end |
5820.89346875 |
transcript.pyannote[905].speaker |
SPEAKER_07 |
transcript.pyannote[905].start |
5804.98034375 |
transcript.pyannote[905].end |
5805.38534375 |
transcript.pyannote[906].speaker |
SPEAKER_07 |
transcript.pyannote[906].start |
5820.94409375 |
transcript.pyannote[906].end |
5822.42909375 |
transcript.pyannote[907].speaker |
SPEAKER_07 |
transcript.pyannote[907].start |
5822.76659375 |
transcript.pyannote[907].end |
5825.33159375 |
transcript.pyannote[908].speaker |
SPEAKER_10 |
transcript.pyannote[908].start |
5822.91846875 |
transcript.pyannote[908].end |
5823.28971875 |
transcript.pyannote[909].speaker |
SPEAKER_10 |
transcript.pyannote[909].start |
5825.33159375 |
transcript.pyannote[909].end |
5829.66846875 |
transcript.pyannote[910].speaker |
SPEAKER_07 |
transcript.pyannote[910].start |
5829.61784375 |
transcript.pyannote[910].end |
5830.93409375 |
transcript.pyannote[911].speaker |
SPEAKER_10 |
transcript.pyannote[911].start |
5830.93409375 |
transcript.pyannote[911].end |
5831.32221875 |
transcript.pyannote[912].speaker |
SPEAKER_07 |
transcript.pyannote[912].start |
5831.25471875 |
transcript.pyannote[912].end |
5836.24971875 |
transcript.pyannote[913].speaker |
SPEAKER_10 |
transcript.pyannote[913].start |
5834.98409375 |
transcript.pyannote[913].end |
5837.29596875 |
transcript.pyannote[914].speaker |
SPEAKER_07 |
transcript.pyannote[914].start |
5836.80659375 |
transcript.pyannote[914].end |
5839.40534375 |
transcript.pyannote[915].speaker |
SPEAKER_10 |
transcript.pyannote[915].start |
5839.27034375 |
transcript.pyannote[915].end |
5839.55721875 |
transcript.pyannote[916].speaker |
SPEAKER_07 |
transcript.pyannote[916].start |
5839.47284375 |
transcript.pyannote[916].end |
5853.88409375 |
transcript.pyannote[917].speaker |
SPEAKER_13 |
transcript.pyannote[917].start |
5839.55721875 |
transcript.pyannote[917].end |
5839.57409375 |
transcript.pyannote[918].speaker |
SPEAKER_13 |
transcript.pyannote[918].start |
5848.88909375 |
transcript.pyannote[918].end |
5849.24346875 |
transcript.pyannote[919].speaker |
SPEAKER_13 |
transcript.pyannote[919].start |
5853.68159375 |
transcript.pyannote[919].end |
5854.13721875 |
transcript.pyannote[920].speaker |
SPEAKER_07 |
transcript.pyannote[920].start |
5854.01909375 |
transcript.pyannote[920].end |
5858.27159375 |
transcript.pyannote[921].speaker |
SPEAKER_13 |
transcript.pyannote[921].start |
5857.91721875 |
transcript.pyannote[921].end |
5858.49096875 |
transcript.pyannote[922].speaker |
SPEAKER_07 |
transcript.pyannote[922].start |
5858.42346875 |
transcript.pyannote[922].end |
5860.80284375 |
transcript.pyannote[923].speaker |
SPEAKER_13 |
transcript.pyannote[923].start |
5860.80284375 |
transcript.pyannote[923].end |
5861.20784375 |
transcript.pyannote[924].speaker |
SPEAKER_07 |
transcript.pyannote[924].start |
5861.20784375 |
transcript.pyannote[924].end |
5861.86596875 |
transcript.pyannote[925].speaker |
SPEAKER_07 |
transcript.pyannote[925].start |
5862.50721875 |
transcript.pyannote[925].end |
5863.23284375 |
transcript.pyannote[926].speaker |
SPEAKER_07 |
transcript.pyannote[926].start |
5863.73909375 |
transcript.pyannote[926].end |
5889.06846875 |
transcript.pyannote[927].speaker |
SPEAKER_06 |
transcript.pyannote[927].start |
5867.53596875 |
transcript.pyannote[927].end |
5867.97471875 |
transcript.pyannote[928].speaker |
SPEAKER_06 |
transcript.pyannote[928].start |
5874.62346875 |
transcript.pyannote[928].end |
5874.75846875 |
transcript.pyannote[929].speaker |
SPEAKER_06 |
transcript.pyannote[929].start |
5875.28159375 |
transcript.pyannote[929].end |
5875.53471875 |
transcript.pyannote[930].speaker |
SPEAKER_06 |
transcript.pyannote[930].start |
5879.85471875 |
transcript.pyannote[930].end |
5879.88846875 |
transcript.pyannote[931].speaker |
SPEAKER_13 |
transcript.pyannote[931].start |
5879.88846875 |
transcript.pyannote[931].end |
5880.15846875 |
transcript.pyannote[932].speaker |
SPEAKER_07 |
transcript.pyannote[932].start |
5889.45659375 |
transcript.pyannote[932].end |
5889.55784375 |
transcript.pyannote[933].speaker |
SPEAKER_10 |
transcript.pyannote[933].start |
5889.55784375 |
transcript.pyannote[933].end |
5889.70971875 |
transcript.pyannote[934].speaker |
SPEAKER_07 |
transcript.pyannote[934].start |
5890.28346875 |
transcript.pyannote[934].end |
5895.83534375 |
transcript.pyannote[935].speaker |
SPEAKER_10 |
transcript.pyannote[935].start |
5895.98721875 |
transcript.pyannote[935].end |
5906.56784375 |
transcript.pyannote[936].speaker |
SPEAKER_07 |
transcript.pyannote[936].start |
5896.98284375 |
transcript.pyannote[936].end |
5897.32034375 |
transcript.pyannote[937].speaker |
SPEAKER_07 |
transcript.pyannote[937].start |
5905.15034375 |
transcript.pyannote[937].end |
5910.51659375 |
transcript.pyannote[938].speaker |
SPEAKER_10 |
transcript.pyannote[938].start |
5906.90534375 |
transcript.pyannote[938].end |
5908.52534375 |
transcript.pyannote[939].speaker |
SPEAKER_10 |
transcript.pyannote[939].start |
5909.08221875 |
transcript.pyannote[939].end |
5929.43346875 |
transcript.pyannote[940].speaker |
SPEAKER_07 |
transcript.pyannote[940].start |
5929.02846875 |
transcript.pyannote[940].end |
5932.77471875 |
transcript.pyannote[941].speaker |
SPEAKER_10 |
transcript.pyannote[941].start |
5933.14596875 |
transcript.pyannote[941].end |
5936.82471875 |
transcript.pyannote[942].speaker |
SPEAKER_07 |
transcript.pyannote[942].start |
5933.66909375 |
transcript.pyannote[942].end |
5934.51284375 |
transcript.pyannote[943].speaker |
SPEAKER_07 |
transcript.pyannote[943].start |
5935.59284375 |
transcript.pyannote[943].end |
5936.43659375 |
transcript.pyannote[944].speaker |
SPEAKER_10 |
transcript.pyannote[944].start |
5937.46596875 |
transcript.pyannote[944].end |
5937.88784375 |
transcript.pyannote[945].speaker |
SPEAKER_10 |
transcript.pyannote[945].start |
5938.15784375 |
transcript.pyannote[945].end |
5940.28409375 |
transcript.pyannote[946].speaker |
SPEAKER_07 |
transcript.pyannote[946].start |
5940.28409375 |
transcript.pyannote[946].end |
5941.46534375 |
transcript.pyannote[947].speaker |
SPEAKER_10 |
transcript.pyannote[947].start |
5942.05596875 |
transcript.pyannote[947].end |
5942.14034375 |
transcript.pyannote[948].speaker |
SPEAKER_07 |
transcript.pyannote[948].start |
5942.14034375 |
transcript.pyannote[948].end |
5942.56221875 |
transcript.pyannote[949].speaker |
SPEAKER_10 |
transcript.pyannote[949].start |
5942.56221875 |
transcript.pyannote[949].end |
5943.08534375 |
transcript.pyannote[950].speaker |
SPEAKER_10 |
transcript.pyannote[950].start |
5944.18221875 |
transcript.pyannote[950].end |
5944.60409375 |
transcript.pyannote[951].speaker |
SPEAKER_10 |
transcript.pyannote[951].start |
5945.31284375 |
transcript.pyannote[951].end |
5945.85284375 |
transcript.pyannote[952].speaker |
SPEAKER_10 |
transcript.pyannote[952].start |
5946.15659375 |
transcript.pyannote[952].end |
5948.45159375 |
transcript.pyannote[953].speaker |
SPEAKER_10 |
transcript.pyannote[953].start |
5948.94096875 |
transcript.pyannote[953].end |
5952.41721875 |
transcript.pyannote[954].speaker |
SPEAKER_07 |
transcript.pyannote[954].start |
5949.46409375 |
transcript.pyannote[954].end |
5950.02096875 |
transcript.pyannote[955].speaker |
SPEAKER_07 |
transcript.pyannote[955].start |
5952.13034375 |
transcript.pyannote[955].end |
5952.28221875 |
transcript.pyannote[956].speaker |
SPEAKER_07 |
transcript.pyannote[956].start |
5952.61971875 |
transcript.pyannote[956].end |
5955.38721875 |
transcript.pyannote[957].speaker |
SPEAKER_07 |
transcript.pyannote[957].start |
5955.75846875 |
transcript.pyannote[957].end |
5958.94784375 |
transcript.pyannote[958].speaker |
SPEAKER_07 |
transcript.pyannote[958].start |
5959.58909375 |
transcript.pyannote[958].end |
5962.40721875 |
transcript.pyannote[959].speaker |
SPEAKER_07 |
transcript.pyannote[959].start |
5962.67721875 |
transcript.pyannote[959].end |
5963.60534375 |
transcript.pyannote[960].speaker |
SPEAKER_07 |
transcript.pyannote[960].start |
5964.28034375 |
transcript.pyannote[960].end |
5964.95534375 |
transcript.pyannote[961].speaker |
SPEAKER_07 |
transcript.pyannote[961].start |
5965.57971875 |
transcript.pyannote[961].end |
5967.18284375 |
transcript.pyannote[962].speaker |
SPEAKER_10 |
transcript.pyannote[962].start |
5966.57534375 |
transcript.pyannote[962].end |
5968.53284375 |
transcript.pyannote[963].speaker |
SPEAKER_07 |
transcript.pyannote[963].start |
5967.25034375 |
transcript.pyannote[963].end |
5968.07721875 |
transcript.pyannote[964].speaker |
SPEAKER_07 |
transcript.pyannote[964].start |
5968.33034375 |
transcript.pyannote[964].end |
5969.81534375 |
transcript.pyannote[965].speaker |
SPEAKER_10 |
transcript.pyannote[965].start |
5970.43971875 |
transcript.pyannote[965].end |
5974.82721875 |
transcript.pyannote[966].speaker |
SPEAKER_07 |
transcript.pyannote[966].start |
5974.30409375 |
transcript.pyannote[966].end |
5976.75096875 |
transcript.pyannote[967].speaker |
SPEAKER_10 |
transcript.pyannote[967].start |
5976.75096875 |
transcript.pyannote[967].end |
5980.53096875 |
transcript.pyannote[968].speaker |
SPEAKER_07 |
transcript.pyannote[968].start |
5980.90221875 |
transcript.pyannote[968].end |
5984.69909375 |
transcript.pyannote[969].speaker |
SPEAKER_10 |
transcript.pyannote[969].start |
5984.69909375 |
transcript.pyannote[969].end |
5992.57971875 |
transcript.pyannote[970].speaker |
SPEAKER_07 |
transcript.pyannote[970].start |
5991.75284375 |
transcript.pyannote[970].end |
5993.74409375 |
transcript.pyannote[971].speaker |
SPEAKER_07 |
transcript.pyannote[971].start |
5994.48659375 |
transcript.pyannote[971].end |
5996.98409375 |
transcript.pyannote[972].speaker |
SPEAKER_10 |
transcript.pyannote[972].start |
5996.96721875 |
transcript.pyannote[972].end |
6002.77221875 |
transcript.pyannote[973].speaker |
SPEAKER_07 |
transcript.pyannote[973].start |
5997.33846875 |
transcript.pyannote[973].end |
5998.87409375 |
transcript.pyannote[974].speaker |
SPEAKER_07 |
transcript.pyannote[974].start |
6002.99159375 |
transcript.pyannote[974].end |
6005.23596875 |
transcript.pyannote[975].speaker |
SPEAKER_07 |
transcript.pyannote[975].start |
6005.47221875 |
transcript.pyannote[975].end |
6006.82221875 |
transcript.pyannote[976].speaker |
SPEAKER_10 |
transcript.pyannote[976].start |
6006.82221875 |
transcript.pyannote[976].end |
6007.17659375 |
transcript.pyannote[977].speaker |
SPEAKER_07 |
transcript.pyannote[977].start |
6007.17659375 |
transcript.pyannote[977].end |
6007.54784375 |
transcript.pyannote[978].speaker |
SPEAKER_07 |
transcript.pyannote[978].start |
6007.76721875 |
transcript.pyannote[978].end |
6008.25659375 |
transcript.pyannote[979].speaker |
SPEAKER_07 |
transcript.pyannote[979].start |
6008.69534375 |
transcript.pyannote[979].end |
6009.40409375 |
transcript.pyannote[980].speaker |
SPEAKER_07 |
transcript.pyannote[980].start |
6009.80909375 |
transcript.pyannote[980].end |
6010.60221875 |
transcript.pyannote[981].speaker |
SPEAKER_10 |
transcript.pyannote[981].start |
6010.85534375 |
transcript.pyannote[981].end |
6012.49221875 |
transcript.pyannote[982].speaker |
SPEAKER_07 |
transcript.pyannote[982].start |
6012.49221875 |
transcript.pyannote[982].end |
6012.88034375 |
transcript.pyannote[983].speaker |
SPEAKER_10 |
transcript.pyannote[983].start |
6012.88034375 |
transcript.pyannote[983].end |
6017.65596875 |
transcript.pyannote[984].speaker |
SPEAKER_07 |
transcript.pyannote[984].start |
6013.31909375 |
transcript.pyannote[984].end |
6013.50471875 |
transcript.pyannote[985].speaker |
SPEAKER_07 |
transcript.pyannote[985].start |
6016.60971875 |
transcript.pyannote[985].end |
6022.16159375 |
transcript.pyannote[986].speaker |
SPEAKER_07 |
transcript.pyannote[986].start |
6022.44846875 |
transcript.pyannote[986].end |
6025.31721875 |
transcript.pyannote[987].speaker |
SPEAKER_07 |
transcript.pyannote[987].start |
6026.24534375 |
transcript.pyannote[987].end |
6030.63284375 |
transcript.pyannote[988].speaker |
SPEAKER_07 |
transcript.pyannote[988].start |
6030.93659375 |
transcript.pyannote[988].end |
6033.48471875 |
transcript.pyannote[989].speaker |
SPEAKER_07 |
transcript.pyannote[989].start |
6033.90659375 |
transcript.pyannote[989].end |
6043.74471875 |
transcript.pyannote[990].speaker |
SPEAKER_07 |
transcript.pyannote[990].start |
6044.74034375 |
transcript.pyannote[990].end |
6047.10284375 |
transcript.pyannote[991].speaker |
SPEAKER_07 |
transcript.pyannote[991].start |
6047.59221875 |
transcript.pyannote[991].end |
6061.59846875 |
transcript.pyannote[992].speaker |
SPEAKER_07 |
transcript.pyannote[992].start |
6061.64909375 |
transcript.pyannote[992].end |
6061.69971875 |
transcript.pyannote[993].speaker |
SPEAKER_10 |
transcript.pyannote[993].start |
6061.69971875 |
transcript.pyannote[993].end |
6062.39159375 |
transcript.pyannote[994].speaker |
SPEAKER_07 |
transcript.pyannote[994].start |
6061.86846875 |
transcript.pyannote[994].end |
6063.64034375 |
transcript.pyannote[995].speaker |
SPEAKER_10 |
transcript.pyannote[995].start |
6064.31534375 |
transcript.pyannote[995].end |
6065.83409375 |
transcript.pyannote[996].speaker |
SPEAKER_07 |
transcript.pyannote[996].start |
6064.88909375 |
transcript.pyannote[996].end |
6069.39471875 |
transcript.pyannote[997].speaker |
SPEAKER_07 |
transcript.pyannote[997].start |
6070.20471875 |
transcript.pyannote[997].end |
6072.19596875 |
transcript.pyannote[998].speaker |
SPEAKER_07 |
transcript.pyannote[998].start |
6072.93846875 |
transcript.pyannote[998].end |
6074.37284375 |
transcript.pyannote[999].speaker |
SPEAKER_10 |
transcript.pyannote[999].start |
6075.82409375 |
transcript.pyannote[999].end |
6076.87034375 |
transcript.pyannote[1000].speaker |
SPEAKER_07 |
transcript.pyannote[1000].start |
6077.17409375 |
transcript.pyannote[1000].end |
6078.03471875 |
transcript.pyannote[1001].speaker |
SPEAKER_07 |
transcript.pyannote[1001].start |
6078.40596875 |
transcript.pyannote[1001].end |
6079.53659375 |
transcript.pyannote[1002].speaker |
SPEAKER_07 |
transcript.pyannote[1002].start |
6080.16096875 |
transcript.pyannote[1002].end |
6082.72596875 |
transcript.pyannote[1003].speaker |
SPEAKER_07 |
transcript.pyannote[1003].start |
6083.09721875 |
transcript.pyannote[1003].end |
6086.75909375 |
transcript.pyannote[1004].speaker |
SPEAKER_13 |
transcript.pyannote[1004].start |
6086.23596875 |
transcript.pyannote[1004].end |
6087.23159375 |
transcript.pyannote[1005].speaker |
SPEAKER_07 |
transcript.pyannote[1005].start |
6087.43409375 |
transcript.pyannote[1005].end |
6088.24409375 |
transcript.pyannote[1006].speaker |
SPEAKER_07 |
transcript.pyannote[1006].start |
6088.69971875 |
transcript.pyannote[1006].end |
6089.61096875 |
transcript.pyannote[1007].speaker |
SPEAKER_07 |
transcript.pyannote[1007].start |
6090.55596875 |
transcript.pyannote[1007].end |
6092.90159375 |
transcript.pyannote[1008].speaker |
SPEAKER_07 |
transcript.pyannote[1008].start |
6093.35721875 |
transcript.pyannote[1008].end |
6094.03221875 |
transcript.pyannote[1009].speaker |
SPEAKER_13 |
transcript.pyannote[1009].start |
6093.91409375 |
transcript.pyannote[1009].end |
6094.48784375 |
transcript.pyannote[1010].speaker |
SPEAKER_07 |
transcript.pyannote[1010].start |
6094.48784375 |
transcript.pyannote[1010].end |
6095.26409375 |
transcript.pyannote[1011].speaker |
SPEAKER_07 |
transcript.pyannote[1011].start |
6095.70284375 |
transcript.pyannote[1011].end |
6096.73221875 |
transcript.pyannote[1012].speaker |
SPEAKER_07 |
transcript.pyannote[1012].start |
6096.93471875 |
transcript.pyannote[1012].end |
6097.60971875 |
transcript.pyannote[1013].speaker |
SPEAKER_07 |
transcript.pyannote[1013].start |
6098.45346875 |
transcript.pyannote[1013].end |
6099.29721875 |
transcript.pyannote[1014].speaker |
SPEAKER_13 |
transcript.pyannote[1014].start |
6100.17471875 |
transcript.pyannote[1014].end |
6100.19159375 |
transcript.pyannote[1015].speaker |
SPEAKER_07 |
transcript.pyannote[1015].start |
6100.19159375 |
transcript.pyannote[1015].end |
6100.73159375 |
transcript.pyannote[1016].speaker |
SPEAKER_07 |
transcript.pyannote[1016].start |
6101.28846875 |
transcript.pyannote[1016].end |
6104.59596875 |
transcript.pyannote[1017].speaker |
SPEAKER_13 |
transcript.pyannote[1017].start |
6104.93346875 |
transcript.pyannote[1017].end |
6104.96721875 |
transcript.pyannote[1018].speaker |
SPEAKER_10 |
transcript.pyannote[1018].start |
6104.96721875 |
transcript.pyannote[1018].end |
6105.28784375 |
transcript.pyannote[1019].speaker |
SPEAKER_07 |
transcript.pyannote[1019].start |
6105.28784375 |
transcript.pyannote[1019].end |
6108.93284375 |
transcript.pyannote[1020].speaker |
SPEAKER_10 |
transcript.pyannote[1020].start |
6107.97096875 |
transcript.pyannote[1020].end |
6113.21909375 |
transcript.pyannote[1021].speaker |
SPEAKER_07 |
transcript.pyannote[1021].start |
6110.06346875 |
transcript.pyannote[1021].end |
6111.53159375 |
transcript.pyannote[1022].speaker |
SPEAKER_07 |
transcript.pyannote[1022].start |
6113.21909375 |
transcript.pyannote[1022].end |
6114.50159375 |
transcript.pyannote[1023].speaker |
SPEAKER_10 |
transcript.pyannote[1023].start |
6113.97846875 |
transcript.pyannote[1023].end |
6115.78409375 |
transcript.pyannote[1024].speaker |
SPEAKER_07 |
transcript.pyannote[1024].start |
6114.58596875 |
transcript.pyannote[1024].end |
6118.12971875 |
transcript.pyannote[1025].speaker |
SPEAKER_10 |
transcript.pyannote[1025].start |
6118.21409375 |
transcript.pyannote[1025].end |
6120.22221875 |
transcript.pyannote[1026].speaker |
SPEAKER_07 |
transcript.pyannote[1026].start |
6120.61034375 |
transcript.pyannote[1026].end |
6121.52159375 |
transcript.pyannote[1027].speaker |
SPEAKER_10 |
transcript.pyannote[1027].start |
6121.30221875 |
transcript.pyannote[1027].end |
6121.48784375 |
transcript.pyannote[1028].speaker |
SPEAKER_10 |
transcript.pyannote[1028].start |
6121.50471875 |
transcript.pyannote[1028].end |
6121.65659375 |
transcript.pyannote[1029].speaker |
SPEAKER_07 |
transcript.pyannote[1029].start |
6121.65659375 |
transcript.pyannote[1029].end |
6121.69034375 |
transcript.pyannote[1030].speaker |
SPEAKER_07 |
transcript.pyannote[1030].start |
6121.72409375 |
transcript.pyannote[1030].end |
6122.73659375 |
transcript.pyannote[1031].speaker |
SPEAKER_10 |
transcript.pyannote[1031].start |
6123.05721875 |
transcript.pyannote[1031].end |
6124.45784375 |
transcript.pyannote[1032].speaker |
SPEAKER_07 |
transcript.pyannote[1032].start |
6124.57596875 |
transcript.pyannote[1032].end |
6125.79096875 |
transcript.pyannote[1033].speaker |
SPEAKER_10 |
transcript.pyannote[1033].start |
6125.45346875 |
transcript.pyannote[1033].end |
6125.82471875 |
transcript.pyannote[1034].speaker |
SPEAKER_07 |
transcript.pyannote[1034].start |
6125.82471875 |
transcript.pyannote[1034].end |
6125.84159375 |
transcript.pyannote[1035].speaker |
SPEAKER_07 |
transcript.pyannote[1035].start |
6125.97659375 |
transcript.pyannote[1035].end |
6127.37721875 |
transcript.pyannote[1036].speaker |
SPEAKER_07 |
transcript.pyannote[1036].start |
6128.60909375 |
transcript.pyannote[1036].end |
6130.63409375 |
transcript.pyannote[1037].speaker |
SPEAKER_07 |
transcript.pyannote[1037].start |
6131.15721875 |
transcript.pyannote[1037].end |
6131.68034375 |
transcript.pyannote[1038].speaker |
SPEAKER_07 |
transcript.pyannote[1038].start |
6132.25409375 |
transcript.pyannote[1038].end |
6134.68409375 |
transcript.pyannote[1039].speaker |
SPEAKER_07 |
transcript.pyannote[1039].start |
6135.47721875 |
transcript.pyannote[1039].end |
6141.55221875 |
transcript.pyannote[1040].speaker |
SPEAKER_07 |
transcript.pyannote[1040].start |
6141.94034375 |
transcript.pyannote[1040].end |
6146.10846875 |
transcript.pyannote[1041].speaker |
SPEAKER_07 |
transcript.pyannote[1041].start |
6146.83409375 |
transcript.pyannote[1041].end |
6151.94721875 |
transcript.pyannote[1042].speaker |
SPEAKER_07 |
transcript.pyannote[1042].start |
6152.40284375 |
transcript.pyannote[1042].end |
6152.92596875 |
transcript.pyannote[1043].speaker |
SPEAKER_13 |
transcript.pyannote[1043].start |
6152.97659375 |
transcript.pyannote[1043].end |
6153.38159375 |
transcript.pyannote[1044].speaker |
SPEAKER_07 |
transcript.pyannote[1044].start |
6153.38159375 |
transcript.pyannote[1044].end |
6153.39846875 |
transcript.pyannote[1045].speaker |
SPEAKER_07 |
transcript.pyannote[1045].start |
6153.41534375 |
transcript.pyannote[1045].end |
6155.59221875 |
transcript.pyannote[1046].speaker |
SPEAKER_07 |
transcript.pyannote[1046].start |
6156.19971875 |
transcript.pyannote[1046].end |
6158.56221875 |
transcript.pyannote[1047].speaker |
SPEAKER_07 |
transcript.pyannote[1047].start |
6158.96721875 |
transcript.pyannote[1047].end |
6160.75596875 |
transcript.pyannote[1048].speaker |
SPEAKER_07 |
transcript.pyannote[1048].start |
6161.54909375 |
transcript.pyannote[1048].end |
6164.70471875 |
transcript.pyannote[1049].speaker |
SPEAKER_07 |
transcript.pyannote[1049].start |
6165.21096875 |
transcript.pyannote[1049].end |
6165.63284375 |
transcript.pyannote[1050].speaker |
SPEAKER_07 |
transcript.pyannote[1050].start |
6166.25721875 |
transcript.pyannote[1050].end |
6173.58096875 |
transcript.pyannote[1051].speaker |
SPEAKER_13 |
transcript.pyannote[1051].start |
6166.27409375 |
transcript.pyannote[1051].end |
6166.96596875 |
transcript.pyannote[1052].speaker |
SPEAKER_00 |
transcript.pyannote[1052].start |
6166.96596875 |
transcript.pyannote[1052].end |
6167.16846875 |
transcript.pyannote[1053].speaker |
SPEAKER_07 |
transcript.pyannote[1053].start |
6174.08721875 |
transcript.pyannote[1053].end |
6177.91784375 |
transcript.pyannote[1054].speaker |
SPEAKER_07 |
transcript.pyannote[1054].start |
6178.62659375 |
transcript.pyannote[1054].end |
6182.01846875 |
transcript.pyannote[1055].speaker |
SPEAKER_07 |
transcript.pyannote[1055].start |
6182.77784375 |
transcript.pyannote[1055].end |
6185.12346875 |
transcript.pyannote[1056].speaker |
SPEAKER_07 |
transcript.pyannote[1056].start |
6185.41034375 |
transcript.pyannote[1056].end |
6187.01346875 |
transcript.pyannote[1057].speaker |
SPEAKER_07 |
transcript.pyannote[1057].start |
6187.26659375 |
transcript.pyannote[1057].end |
6189.49409375 |
transcript.pyannote[1058].speaker |
SPEAKER_07 |
transcript.pyannote[1058].start |
6190.35471875 |
transcript.pyannote[1058].end |
6192.09284375 |
transcript.pyannote[1059].speaker |
SPEAKER_07 |
transcript.pyannote[1059].start |
6192.68346875 |
transcript.pyannote[1059].end |
6195.36659375 |
transcript.pyannote[1060].speaker |
SPEAKER_07 |
transcript.pyannote[1060].start |
6195.61971875 |
transcript.pyannote[1060].end |
6197.44221875 |
transcript.pyannote[1061].speaker |
SPEAKER_13 |
transcript.pyannote[1061].start |
6197.52659375 |
transcript.pyannote[1061].end |
6197.84721875 |
transcript.pyannote[1062].speaker |
SPEAKER_07 |
transcript.pyannote[1062].start |
6198.08346875 |
transcript.pyannote[1062].end |
6199.83846875 |
transcript.pyannote[1063].speaker |
SPEAKER_07 |
transcript.pyannote[1063].start |
6200.37846875 |
transcript.pyannote[1063].end |
6204.79971875 |
transcript.pyannote[1064].speaker |
SPEAKER_07 |
transcript.pyannote[1064].start |
6205.13721875 |
transcript.pyannote[1064].end |
6207.09471875 |
transcript.pyannote[1065].speaker |
SPEAKER_07 |
transcript.pyannote[1065].start |
6207.82034375 |
transcript.pyannote[1065].end |
6210.14909375 |
transcript.pyannote[1066].speaker |
SPEAKER_07 |
transcript.pyannote[1066].start |
6210.62159375 |
transcript.pyannote[1066].end |
6215.39721875 |
transcript.pyannote[1067].speaker |
SPEAKER_07 |
transcript.pyannote[1067].start |
6215.56596875 |
transcript.pyannote[1067].end |
6216.47721875 |
transcript.pyannote[1068].speaker |
SPEAKER_07 |
transcript.pyannote[1068].start |
6216.62909375 |
transcript.pyannote[1068].end |
6220.42596875 |
transcript.pyannote[1069].speaker |
SPEAKER_07 |
transcript.pyannote[1069].start |
6220.98284375 |
transcript.pyannote[1069].end |
6223.12596875 |
transcript.pyannote[1070].speaker |
SPEAKER_07 |
transcript.pyannote[1070].start |
6223.61534375 |
transcript.pyannote[1070].end |
6224.45909375 |
transcript.pyannote[1071].speaker |
SPEAKER_07 |
transcript.pyannote[1071].start |
6224.89784375 |
transcript.pyannote[1071].end |
6228.59346875 |
transcript.pyannote[1072].speaker |
SPEAKER_07 |
transcript.pyannote[1072].start |
6229.50471875 |
transcript.pyannote[1072].end |
6230.61846875 |
transcript.pyannote[1073].speaker |
SPEAKER_07 |
transcript.pyannote[1073].start |
6230.87159375 |
transcript.pyannote[1073].end |
6232.12034375 |
transcript.pyannote[1074].speaker |
SPEAKER_07 |
transcript.pyannote[1074].start |
6232.79534375 |
transcript.pyannote[1074].end |
6233.33534375 |
transcript.pyannote[1075].speaker |
SPEAKER_07 |
transcript.pyannote[1075].start |
6233.65596875 |
transcript.pyannote[1075].end |
6234.36471875 |
transcript.pyannote[1076].speaker |
SPEAKER_07 |
transcript.pyannote[1076].start |
6234.98909375 |
transcript.pyannote[1076].end |
6235.78221875 |
transcript.pyannote[1077].speaker |
SPEAKER_07 |
transcript.pyannote[1077].start |
6236.35596875 |
transcript.pyannote[1077].end |
6237.03096875 |
transcript.pyannote[1078].speaker |
SPEAKER_07 |
transcript.pyannote[1078].start |
6237.67221875 |
transcript.pyannote[1078].end |
6239.88284375 |
transcript.pyannote[1079].speaker |
SPEAKER_07 |
transcript.pyannote[1079].start |
6240.94596875 |
transcript.pyannote[1079].end |
6244.45596875 |
transcript.pyannote[1080].speaker |
SPEAKER_07 |
transcript.pyannote[1080].start |
6244.84409375 |
transcript.pyannote[1080].end |
6247.12221875 |
transcript.pyannote[1081].speaker |
SPEAKER_07 |
transcript.pyannote[1081].start |
6247.52721875 |
transcript.pyannote[1081].end |
6248.97846875 |
transcript.pyannote[1082].speaker |
SPEAKER_07 |
transcript.pyannote[1082].start |
6250.61534375 |
transcript.pyannote[1082].end |
6252.55596875 |
transcript.pyannote[1083].speaker |
SPEAKER_07 |
transcript.pyannote[1083].start |
6253.24784375 |
transcript.pyannote[1083].end |
6256.01534375 |
transcript.pyannote[1084].speaker |
SPEAKER_07 |
transcript.pyannote[1084].start |
6256.57221875 |
transcript.pyannote[1084].end |
6257.51721875 |
transcript.pyannote[1085].speaker |
SPEAKER_10 |
transcript.pyannote[1085].start |
6258.41159375 |
transcript.pyannote[1085].end |
6265.21221875 |
transcript.pyannote[1086].speaker |
SPEAKER_13 |
transcript.pyannote[1086].start |
6264.67221875 |
transcript.pyannote[1086].end |
6267.45659375 |
transcript.pyannote[1087].speaker |
SPEAKER_10 |
transcript.pyannote[1087].start |
6265.83659375 |
transcript.pyannote[1087].end |
6273.41346875 |
transcript.pyannote[1088].speaker |
SPEAKER_10 |
transcript.pyannote[1088].start |
6273.49784375 |
transcript.pyannote[1088].end |
6276.02909375 |
transcript.pyannote[1089].speaker |
SPEAKER_07 |
transcript.pyannote[1089].start |
6275.57346875 |
transcript.pyannote[1089].end |
6275.80971875 |
transcript.pyannote[1090].speaker |
SPEAKER_07 |
transcript.pyannote[1090].start |
6276.14721875 |
transcript.pyannote[1090].end |
6276.80534375 |
transcript.pyannote[1091].speaker |
SPEAKER_07 |
transcript.pyannote[1091].start |
6277.75034375 |
transcript.pyannote[1091].end |
6281.05784375 |
transcript.pyannote[1092].speaker |
SPEAKER_07 |
transcript.pyannote[1092].start |
6281.31096875 |
transcript.pyannote[1092].end |
6281.32784375 |
transcript.pyannote[1093].speaker |
SPEAKER_10 |
transcript.pyannote[1093].start |
6281.32784375 |
transcript.pyannote[1093].end |
6283.70721875 |
transcript.pyannote[1094].speaker |
SPEAKER_07 |
transcript.pyannote[1094].start |
6281.34471875 |
transcript.pyannote[1094].end |
6281.78346875 |
transcript.pyannote[1095].speaker |
SPEAKER_07 |
transcript.pyannote[1095].start |
6283.04909375 |
transcript.pyannote[1095].end |
6305.47596875 |
transcript.pyannote[1096].speaker |
SPEAKER_10 |
transcript.pyannote[1096].start |
6285.04034375 |
transcript.pyannote[1096].end |
6285.27659375 |
transcript.pyannote[1097].speaker |
SPEAKER_10 |
transcript.pyannote[1097].start |
6287.62221875 |
transcript.pyannote[1097].end |
6287.70659375 |
transcript.pyannote[1098].speaker |
SPEAKER_13 |
transcript.pyannote[1098].start |
6299.11409375 |
transcript.pyannote[1098].end |
6299.43471875 |
transcript.pyannote[1099].speaker |
SPEAKER_07 |
transcript.pyannote[1099].start |
6305.59409375 |
transcript.pyannote[1099].end |
6306.67409375 |
transcript.pyannote[1100].speaker |
SPEAKER_07 |
transcript.pyannote[1100].start |
6307.01159375 |
transcript.pyannote[1100].end |
6310.77471875 |
transcript.pyannote[1101].speaker |
SPEAKER_10 |
transcript.pyannote[1101].start |
6310.72409375 |
transcript.pyannote[1101].end |
6311.19659375 |
transcript.pyannote[1102].speaker |
SPEAKER_07 |
transcript.pyannote[1102].start |
6311.29784375 |
transcript.pyannote[1102].end |
6313.72784375 |
transcript.pyannote[1103].speaker |
SPEAKER_07 |
transcript.pyannote[1103].start |
6313.84596875 |
transcript.pyannote[1103].end |
6313.96409375 |
transcript.pyannote[1104].speaker |
SPEAKER_10 |
transcript.pyannote[1104].start |
6313.96409375 |
transcript.pyannote[1104].end |
6314.01471875 |
transcript.pyannote[1105].speaker |
SPEAKER_07 |
transcript.pyannote[1105].start |
6314.01471875 |
transcript.pyannote[1105].end |
6314.08221875 |
transcript.pyannote[1106].speaker |
SPEAKER_10 |
transcript.pyannote[1106].start |
6314.08221875 |
transcript.pyannote[1106].end |
6322.21596875 |
transcript.pyannote[1107].speaker |
SPEAKER_10 |
transcript.pyannote[1107].start |
6322.65471875 |
transcript.pyannote[1107].end |
6324.94971875 |
transcript.pyannote[1108].speaker |
SPEAKER_07 |
transcript.pyannote[1108].start |
6324.64596875 |
transcript.pyannote[1108].end |
6345.57096875 |
transcript.pyannote[1109].speaker |
SPEAKER_10 |
transcript.pyannote[1109].start |
6327.85221875 |
transcript.pyannote[1109].end |
6328.79721875 |
transcript.pyannote[1110].speaker |
SPEAKER_02 |
transcript.pyannote[1110].start |
6328.79721875 |
transcript.pyannote[1110].end |
6328.83096875 |
transcript.pyannote[1111].speaker |
SPEAKER_00 |
transcript.pyannote[1111].start |
6337.03221875 |
transcript.pyannote[1111].end |
6337.16721875 |
transcript.pyannote[1112].speaker |
SPEAKER_00 |
transcript.pyannote[1112].start |
6337.21784375 |
transcript.pyannote[1112].end |
6337.60596875 |
transcript.pyannote[1113].speaker |
SPEAKER_13 |
transcript.pyannote[1113].start |
6343.63034375 |
transcript.pyannote[1113].end |
6343.64721875 |
transcript.pyannote[1114].speaker |
SPEAKER_10 |
transcript.pyannote[1114].start |
6343.64721875 |
transcript.pyannote[1114].end |
6343.96784375 |
transcript.pyannote[1115].speaker |
SPEAKER_07 |
transcript.pyannote[1115].start |
6345.67221875 |
transcript.pyannote[1115].end |
6348.37221875 |
transcript.pyannote[1116].speaker |
SPEAKER_10 |
transcript.pyannote[1116].start |
6347.76471875 |
transcript.pyannote[1116].end |
6349.36784375 |
transcript.pyannote[1117].speaker |
SPEAKER_07 |
transcript.pyannote[1117].start |
6357.18096875 |
transcript.pyannote[1117].end |
6359.37471875 |
transcript.pyannote[1118].speaker |
SPEAKER_02 |
transcript.pyannote[1118].start |
6367.44096875 |
transcript.pyannote[1118].end |
6369.66846875 |
transcript.pyannote[1119].speaker |
SPEAKER_02 |
transcript.pyannote[1119].start |
6370.30971875 |
transcript.pyannote[1119].end |
6371.38971875 |
transcript.pyannote[1120].speaker |
SPEAKER_10 |
transcript.pyannote[1120].start |
6377.39721875 |
transcript.pyannote[1120].end |
6377.83596875 |
transcript.pyannote[1121].speaker |
SPEAKER_02 |
transcript.pyannote[1121].start |
6378.24096875 |
transcript.pyannote[1121].end |
6379.06784375 |
transcript.pyannote[1122].speaker |
SPEAKER_02 |
transcript.pyannote[1122].start |
6379.32096875 |
transcript.pyannote[1122].end |
6394.69409375 |
transcript.pyannote[1123].speaker |
SPEAKER_02 |
transcript.pyannote[1123].start |
6395.23409375 |
transcript.pyannote[1123].end |
6395.85846875 |
transcript.pyannote[1124].speaker |
SPEAKER_13 |
transcript.pyannote[1124].start |
6396.36471875 |
transcript.pyannote[1124].end |
6396.97221875 |
transcript.pyannote[1125].speaker |
SPEAKER_10 |
transcript.pyannote[1125].start |
6396.97221875 |
transcript.pyannote[1125].end |
6397.42784375 |
transcript.pyannote[1126].speaker |
SPEAKER_13 |
transcript.pyannote[1126].start |
6397.42784375 |
transcript.pyannote[1126].end |
6397.54596875 |
transcript.pyannote[1127].speaker |
SPEAKER_10 |
transcript.pyannote[1127].start |
6399.67221875 |
transcript.pyannote[1127].end |
6418.21784375 |
transcript.pyannote[1128].speaker |
SPEAKER_02 |
transcript.pyannote[1128].start |
6416.86784375 |
transcript.pyannote[1128].end |
6419.70284375 |
transcript.pyannote[1129].speaker |
SPEAKER_10 |
transcript.pyannote[1129].start |
6419.80409375 |
transcript.pyannote[1129].end |
6431.02596875 |
transcript.pyannote[1130].speaker |
SPEAKER_02 |
transcript.pyannote[1130].start |
6431.32971875 |
transcript.pyannote[1130].end |
6435.24471875 |
transcript.pyannote[1131].speaker |
SPEAKER_10 |
transcript.pyannote[1131].start |
6433.92846875 |
transcript.pyannote[1131].end |
6435.24471875 |
transcript.pyannote[1132].speaker |
SPEAKER_06 |
transcript.pyannote[1132].start |
6435.24471875 |
transcript.pyannote[1132].end |
6435.26159375 |
transcript.pyannote[1133].speaker |
SPEAKER_10 |
transcript.pyannote[1133].start |
6435.26159375 |
transcript.pyannote[1133].end |
6435.27846875 |
transcript.pyannote[1134].speaker |
SPEAKER_02 |
transcript.pyannote[1134].start |
6435.48096875 |
transcript.pyannote[1134].end |
6435.85221875 |
transcript.pyannote[1135].speaker |
SPEAKER_02 |
transcript.pyannote[1135].start |
6436.10534375 |
transcript.pyannote[1135].end |
6443.85096875 |
transcript.pyannote[1136].speaker |
SPEAKER_13 |
transcript.pyannote[1136].start |
6443.49659375 |
transcript.pyannote[1136].end |
6443.90159375 |
transcript.pyannote[1137].speaker |
SPEAKER_02 |
transcript.pyannote[1137].start |
6443.90159375 |
transcript.pyannote[1137].end |
6443.96909375 |
transcript.pyannote[1138].speaker |
SPEAKER_02 |
transcript.pyannote[1138].start |
6444.10409375 |
transcript.pyannote[1138].end |
6452.49096875 |
transcript.pyannote[1139].speaker |
SPEAKER_13 |
transcript.pyannote[1139].start |
6452.49096875 |
transcript.pyannote[1139].end |
6452.86221875 |
transcript.pyannote[1140].speaker |
SPEAKER_02 |
transcript.pyannote[1140].start |
6452.86221875 |
transcript.pyannote[1140].end |
6466.71659375 |
transcript.pyannote[1141].speaker |
SPEAKER_10 |
transcript.pyannote[1141].start |
6467.30721875 |
transcript.pyannote[1141].end |
6470.22659375 |
transcript.pyannote[1142].speaker |
SPEAKER_10 |
transcript.pyannote[1142].start |
6470.58096875 |
transcript.pyannote[1142].end |
6491.74221875 |
transcript.pyannote[1143].speaker |
SPEAKER_10 |
transcript.pyannote[1143].start |
6492.09659375 |
transcript.pyannote[1143].end |
6493.29471875 |
transcript.pyannote[1144].speaker |
SPEAKER_02 |
transcript.pyannote[1144].start |
6493.34534375 |
transcript.pyannote[1144].end |
6503.21721875 |
transcript.pyannote[1145].speaker |
SPEAKER_10 |
transcript.pyannote[1145].start |
6502.05284375 |
transcript.pyannote[1145].end |
6503.43659375 |
transcript.pyannote[1146].speaker |
SPEAKER_02 |
transcript.pyannote[1146].start |
6503.79096875 |
transcript.pyannote[1146].end |
6515.06346875 |
transcript.pyannote[1147].speaker |
SPEAKER_10 |
transcript.pyannote[1147].start |
6515.28284375 |
transcript.pyannote[1147].end |
6522.84284375 |
transcript.pyannote[1148].speaker |
SPEAKER_02 |
transcript.pyannote[1148].start |
6521.05409375 |
transcript.pyannote[1148].end |
6521.39159375 |
transcript.pyannote[1149].speaker |
SPEAKER_00 |
transcript.pyannote[1149].start |
6521.39159375 |
transcript.pyannote[1149].end |
6521.45909375 |
transcript.pyannote[1150].speaker |
SPEAKER_10 |
transcript.pyannote[1150].start |
6523.07909375 |
transcript.pyannote[1150].end |
6545.42159375 |
transcript.pyannote[1151].speaker |
SPEAKER_02 |
transcript.pyannote[1151].start |
6545.80971875 |
transcript.pyannote[1151].end |
6551.73284375 |
transcript.pyannote[1152].speaker |
SPEAKER_10 |
transcript.pyannote[1152].start |
6551.46284375 |
transcript.pyannote[1152].end |
6551.69909375 |
transcript.pyannote[1153].speaker |
SPEAKER_10 |
transcript.pyannote[1153].start |
6551.73284375 |
transcript.pyannote[1153].end |
6551.74971875 |
transcript.pyannote[1154].speaker |
SPEAKER_02 |
transcript.pyannote[1154].start |
6551.74971875 |
transcript.pyannote[1154].end |
6556.55909375 |
transcript.pyannote[1155].speaker |
SPEAKER_10 |
transcript.pyannote[1155].start |
6551.76659375 |
transcript.pyannote[1155].end |
6551.85096875 |
transcript.pyannote[1156].speaker |
SPEAKER_10 |
transcript.pyannote[1156].start |
6556.55909375 |
transcript.pyannote[1156].end |
6558.85409375 |
transcript.pyannote[1157].speaker |
SPEAKER_02 |
transcript.pyannote[1157].start |
6556.79534375 |
transcript.pyannote[1157].end |
6558.66846875 |
transcript.pyannote[1158].speaker |
SPEAKER_02 |
transcript.pyannote[1158].start |
6558.85409375 |
transcript.pyannote[1158].end |
6567.67971875 |
transcript.pyannote[1159].speaker |
SPEAKER_10 |
transcript.pyannote[1159].start |
6561.21659375 |
transcript.pyannote[1159].end |
6561.92534375 |
transcript.pyannote[1160].speaker |
SPEAKER_10 |
transcript.pyannote[1160].start |
6564.72659375 |
transcript.pyannote[1160].end |
6565.16534375 |
transcript.pyannote[1161].speaker |
SPEAKER_10 |
transcript.pyannote[1161].start |
6566.11034375 |
transcript.pyannote[1161].end |
6566.51534375 |
transcript.pyannote[1162].speaker |
SPEAKER_10 |
transcript.pyannote[1162].start |
6567.64596875 |
transcript.pyannote[1162].end |
6588.89159375 |
transcript.pyannote[1163].speaker |
SPEAKER_02 |
transcript.pyannote[1163].start |
6572.30346875 |
transcript.pyannote[1163].end |
6572.53971875 |
transcript.pyannote[1164].speaker |
SPEAKER_10 |
transcript.pyannote[1164].start |
6589.06034375 |
transcript.pyannote[1164].end |
6592.26659375 |
transcript.pyannote[1165].speaker |
SPEAKER_02 |
transcript.pyannote[1165].start |
6589.16159375 |
transcript.pyannote[1165].end |
6589.26284375 |
transcript.pyannote[1166].speaker |
SPEAKER_02 |
transcript.pyannote[1166].start |
6590.52846875 |
transcript.pyannote[1166].end |
6590.95034375 |
transcript.pyannote[1167].speaker |
SPEAKER_02 |
transcript.pyannote[1167].start |
6592.33409375 |
transcript.pyannote[1167].end |
6592.84034375 |
transcript.pyannote[1168].speaker |
SPEAKER_10 |
transcript.pyannote[1168].start |
6592.95846875 |
transcript.pyannote[1168].end |
6593.41409375 |
transcript.pyannote[1169].speaker |
SPEAKER_02 |
transcript.pyannote[1169].start |
6594.00471875 |
transcript.pyannote[1169].end |
6598.12221875 |
transcript.pyannote[1170].speaker |
SPEAKER_02 |
transcript.pyannote[1170].start |
6598.39221875 |
transcript.pyannote[1170].end |
6600.18096875 |
transcript.pyannote[1171].speaker |
SPEAKER_02 |
transcript.pyannote[1171].start |
6600.38346875 |
transcript.pyannote[1171].end |
6602.52659375 |
transcript.pyannote[1172].speaker |
SPEAKER_02 |
transcript.pyannote[1172].start |
6603.16784375 |
transcript.pyannote[1172].end |
6606.07034375 |
transcript.pyannote[1173].speaker |
SPEAKER_02 |
transcript.pyannote[1173].start |
6606.45846875 |
transcript.pyannote[1173].end |
6611.57159375 |
transcript.pyannote[1174].speaker |
SPEAKER_10 |
transcript.pyannote[1174].start |
6611.57159375 |
transcript.pyannote[1174].end |
6614.15346875 |
transcript.pyannote[1175].speaker |
SPEAKER_10 |
transcript.pyannote[1175].start |
6614.38971875 |
transcript.pyannote[1175].end |
6615.38534375 |
transcript.pyannote[1176].speaker |
SPEAKER_10 |
transcript.pyannote[1176].start |
6616.36409375 |
transcript.pyannote[1176].end |
6621.86534375 |
transcript.pyannote[1177].speaker |
SPEAKER_10 |
transcript.pyannote[1177].start |
6622.13534375 |
transcript.pyannote[1177].end |
6623.01284375 |
transcript.pyannote[1178].speaker |
SPEAKER_10 |
transcript.pyannote[1178].start |
6623.77221875 |
transcript.pyannote[1178].end |
6629.20596875 |
transcript.pyannote[1179].speaker |
SPEAKER_13 |
transcript.pyannote[1179].start |
6629.07096875 |
transcript.pyannote[1179].end |
6629.54346875 |
transcript.pyannote[1180].speaker |
SPEAKER_10 |
transcript.pyannote[1180].start |
6629.27346875 |
transcript.pyannote[1180].end |
6633.84659375 |
transcript.pyannote[1181].speaker |
SPEAKER_10 |
transcript.pyannote[1181].start |
6634.20096875 |
transcript.pyannote[1181].end |
6643.98846875 |
transcript.pyannote[1182].speaker |
SPEAKER_02 |
transcript.pyannote[1182].start |
6640.64721875 |
transcript.pyannote[1182].end |
6653.72534375 |
transcript.pyannote[1183].speaker |
SPEAKER_10 |
transcript.pyannote[1183].start |
6646.70534375 |
transcript.pyannote[1183].end |
6647.17784375 |
transcript.pyannote[1184].speaker |
SPEAKER_02 |
transcript.pyannote[1184].start |
6654.04596875 |
transcript.pyannote[1184].end |
6655.09221875 |
transcript.pyannote[1185].speaker |
SPEAKER_10 |
transcript.pyannote[1185].start |
6655.09221875 |
transcript.pyannote[1185].end |
6655.49721875 |
transcript.pyannote[1186].speaker |
SPEAKER_02 |
transcript.pyannote[1186].start |
6655.46346875 |
transcript.pyannote[1186].end |
6657.20159375 |
transcript.pyannote[1187].speaker |
SPEAKER_10 |
transcript.pyannote[1187].start |
6657.20159375 |
transcript.pyannote[1187].end |
6661.72409375 |
transcript.pyannote[1188].speaker |
SPEAKER_10 |
transcript.pyannote[1188].start |
6662.19659375 |
transcript.pyannote[1188].end |
6668.10284375 |
transcript.pyannote[1189].speaker |
SPEAKER_10 |
transcript.pyannote[1189].start |
6668.30534375 |
transcript.pyannote[1189].end |
6669.35159375 |
transcript.pyannote[1190].speaker |
SPEAKER_10 |
transcript.pyannote[1190].start |
6669.82409375 |
transcript.pyannote[1190].end |
6670.33034375 |
transcript.pyannote[1191].speaker |
SPEAKER_10 |
transcript.pyannote[1191].start |
6671.02221875 |
transcript.pyannote[1191].end |
6672.79409375 |
transcript.pyannote[1192].speaker |
SPEAKER_10 |
transcript.pyannote[1192].start |
6672.96284375 |
transcript.pyannote[1192].end |
6675.94971875 |
transcript.pyannote[1193].speaker |
SPEAKER_02 |
transcript.pyannote[1193].start |
6675.05534375 |
transcript.pyannote[1193].end |
6679.27409375 |
transcript.pyannote[1194].speaker |
SPEAKER_10 |
transcript.pyannote[1194].start |
6679.15596875 |
transcript.pyannote[1194].end |
6679.27409375 |
transcript.pyannote[1195].speaker |
SPEAKER_13 |
transcript.pyannote[1195].start |
6679.27409375 |
transcript.pyannote[1195].end |
6679.71284375 |
transcript.pyannote[1196].speaker |
SPEAKER_02 |
transcript.pyannote[1196].start |
6679.54409375 |
transcript.pyannote[1196].end |
6686.32784375 |
transcript.pyannote[1197].speaker |
SPEAKER_13 |
transcript.pyannote[1197].start |
6680.11784375 |
transcript.pyannote[1197].end |
6680.67471875 |
transcript.pyannote[1198].speaker |
SPEAKER_13 |
transcript.pyannote[1198].start |
6683.93159375 |
transcript.pyannote[1198].end |
6685.16346875 |
transcript.pyannote[1199].speaker |
SPEAKER_13 |
transcript.pyannote[1199].start |
6685.75409375 |
transcript.pyannote[1199].end |
6686.34471875 |
transcript.pyannote[1200].speaker |
SPEAKER_02 |
transcript.pyannote[1200].start |
6686.34471875 |
transcript.pyannote[1200].end |
6686.39534375 |
transcript.pyannote[1201].speaker |
SPEAKER_02 |
transcript.pyannote[1201].start |
6686.49659375 |
transcript.pyannote[1201].end |
6692.50409375 |
transcript.pyannote[1202].speaker |
SPEAKER_10 |
transcript.pyannote[1202].start |
6692.26784375 |
transcript.pyannote[1202].end |
6693.55034375 |
transcript.pyannote[1203].speaker |
SPEAKER_02 |
transcript.pyannote[1203].start |
6693.29721875 |
transcript.pyannote[1203].end |
6695.86221875 |
transcript.pyannote[1204].speaker |
SPEAKER_10 |
transcript.pyannote[1204].start |
6695.86221875 |
transcript.pyannote[1204].end |
6705.88596875 |
transcript.pyannote[1205].speaker |
SPEAKER_02 |
transcript.pyannote[1205].start |
6705.88596875 |
transcript.pyannote[1205].end |
6706.17284375 |
transcript.pyannote[1206].speaker |
SPEAKER_10 |
transcript.pyannote[1206].start |
6706.17284375 |
transcript.pyannote[1206].end |
6710.59409375 |
transcript.pyannote[1207].speaker |
SPEAKER_02 |
transcript.pyannote[1207].start |
6706.18971875 |
transcript.pyannote[1207].end |
6706.30784375 |
transcript.pyannote[1208].speaker |
SPEAKER_02 |
transcript.pyannote[1208].start |
6711.03284375 |
transcript.pyannote[1208].end |
6712.75409375 |
transcript.pyannote[1209].speaker |
SPEAKER_10 |
transcript.pyannote[1209].start |
6712.85534375 |
transcript.pyannote[1209].end |
6717.10784375 |
transcript.pyannote[1210].speaker |
SPEAKER_10 |
transcript.pyannote[1210].start |
6717.29346875 |
transcript.pyannote[1210].end |
6721.90034375 |
transcript.pyannote[1211].speaker |
SPEAKER_02 |
transcript.pyannote[1211].start |
6722.52471875 |
transcript.pyannote[1211].end |
6736.80096875 |
transcript.pyannote[1212].speaker |
SPEAKER_10 |
transcript.pyannote[1212].start |
6729.51096875 |
transcript.pyannote[1212].end |
6731.82284375 |
transcript.pyannote[1213].speaker |
SPEAKER_10 |
transcript.pyannote[1213].start |
6733.29096875 |
transcript.pyannote[1213].end |
6733.59471875 |
transcript.pyannote[1214].speaker |
SPEAKER_10 |
transcript.pyannote[1214].start |
6736.63221875 |
transcript.pyannote[1214].end |
6737.88096875 |
transcript.pyannote[1215].speaker |
SPEAKER_02 |
transcript.pyannote[1215].start |
6738.57284375 |
transcript.pyannote[1215].end |
6751.70159375 |
transcript.pyannote[1216].speaker |
SPEAKER_02 |
transcript.pyannote[1216].start |
6752.27534375 |
transcript.pyannote[1216].end |
6754.30034375 |
transcript.pyannote[1217].speaker |
SPEAKER_10 |
transcript.pyannote[1217].start |
6754.99221875 |
transcript.pyannote[1217].end |
6755.31284375 |
transcript.pyannote[1218].speaker |
SPEAKER_10 |
transcript.pyannote[1218].start |
6755.73471875 |
transcript.pyannote[1218].end |
6756.19034375 |
transcript.pyannote[1219].speaker |
SPEAKER_02 |
transcript.pyannote[1219].start |
6755.85284375 |
transcript.pyannote[1219].end |
6768.69471875 |
transcript.pyannote[1220].speaker |
SPEAKER_02 |
transcript.pyannote[1220].start |
6769.50471875 |
transcript.pyannote[1220].end |
6779.44409375 |
transcript.pyannote[1221].speaker |
SPEAKER_13 |
transcript.pyannote[1221].start |
6772.96409375 |
transcript.pyannote[1221].end |
6773.18346875 |
transcript.pyannote[1222].speaker |
SPEAKER_13 |
transcript.pyannote[1222].start |
6779.47784375 |
transcript.pyannote[1222].end |
6779.74784375 |
transcript.pyannote[1223].speaker |
SPEAKER_02 |
transcript.pyannote[1223].start |
6779.74784375 |
transcript.pyannote[1223].end |
6780.54096875 |
transcript.pyannote[1224].speaker |
SPEAKER_13 |
transcript.pyannote[1224].start |
6780.54096875 |
transcript.pyannote[1224].end |
6780.82784375 |
transcript.pyannote[1225].speaker |
SPEAKER_02 |
transcript.pyannote[1225].start |
6780.55784375 |
transcript.pyannote[1225].end |
6795.15471875 |
transcript.pyannote[1226].speaker |
SPEAKER_13 |
transcript.pyannote[1226].start |
6795.15471875 |
transcript.pyannote[1226].end |
6795.45846875 |
transcript.pyannote[1227].speaker |
SPEAKER_02 |
transcript.pyannote[1227].start |
6795.45846875 |
transcript.pyannote[1227].end |
6812.63721875 |
transcript.pyannote[1228].speaker |
SPEAKER_13 |
transcript.pyannote[1228].start |
6812.63721875 |
transcript.pyannote[1228].end |
6812.90721875 |
transcript.pyannote[1229].speaker |
SPEAKER_02 |
transcript.pyannote[1229].start |
6812.90721875 |
transcript.pyannote[1229].end |
6817.04159375 |
transcript.pyannote[1230].speaker |
SPEAKER_02 |
transcript.pyannote[1230].start |
6818.42534375 |
transcript.pyannote[1230].end |
6826.47471875 |
transcript.pyannote[1231].speaker |
SPEAKER_13 |
transcript.pyannote[1231].start |
6826.44096875 |
transcript.pyannote[1231].end |
6826.76159375 |
transcript.pyannote[1232].speaker |
SPEAKER_02 |
transcript.pyannote[1232].start |
6826.76159375 |
transcript.pyannote[1232].end |
6834.62534375 |
transcript.pyannote[1233].speaker |
SPEAKER_02 |
transcript.pyannote[1233].start |
6834.92909375 |
transcript.pyannote[1233].end |
6835.65471875 |
transcript.pyannote[1234].speaker |
SPEAKER_02 |
transcript.pyannote[1234].start |
6836.61659375 |
transcript.pyannote[1234].end |
6861.30471875 |
transcript.pyannote[1235].speaker |
SPEAKER_02 |
transcript.pyannote[1235].start |
6861.64221875 |
transcript.pyannote[1235].end |
6861.86159375 |
transcript.pyannote[1236].speaker |
SPEAKER_10 |
transcript.pyannote[1236].start |
6862.35096875 |
transcript.pyannote[1236].end |
6865.32096875 |
transcript.pyannote[1237].speaker |
SPEAKER_10 |
transcript.pyannote[1237].start |
6865.60784375 |
transcript.pyannote[1237].end |
6881.21721875 |
transcript.pyannote[1238].speaker |
SPEAKER_02 |
transcript.pyannote[1238].start |
6880.84596875 |
transcript.pyannote[1238].end |
6929.05784375 |
transcript.pyannote[1239].speaker |
SPEAKER_10 |
transcript.pyannote[1239].start |
6883.10721875 |
transcript.pyannote[1239].end |
6883.37721875 |
transcript.pyannote[1240].speaker |
SPEAKER_13 |
transcript.pyannote[1240].start |
6891.76409375 |
transcript.pyannote[1240].end |
6891.91596875 |
transcript.pyannote[1241].speaker |
SPEAKER_13 |
transcript.pyannote[1241].start |
6902.91846875 |
transcript.pyannote[1241].end |
6903.20534375 |
transcript.pyannote[1242].speaker |
SPEAKER_13 |
transcript.pyannote[1242].start |
6917.80221875 |
transcript.pyannote[1242].end |
6917.97096875 |
transcript.pyannote[1243].speaker |
SPEAKER_00 |
transcript.pyannote[1243].start |
6917.97096875 |
transcript.pyannote[1243].end |
6918.03846875 |
transcript.pyannote[1244].speaker |
SPEAKER_13 |
transcript.pyannote[1244].start |
6918.03846875 |
transcript.pyannote[1244].end |
6918.42659375 |
transcript.pyannote[1245].speaker |
SPEAKER_00 |
transcript.pyannote[1245].start |
6918.42659375 |
transcript.pyannote[1245].end |
6918.46034375 |
transcript.pyannote[1246].speaker |
SPEAKER_10 |
transcript.pyannote[1246].start |
6928.85534375 |
transcript.pyannote[1246].end |
6929.20971875 |
transcript.pyannote[1247].speaker |
SPEAKER_02 |
transcript.pyannote[1247].start |
6929.29409375 |
transcript.pyannote[1247].end |
6932.01096875 |
transcript.pyannote[1248].speaker |
SPEAKER_10 |
transcript.pyannote[1248].start |
6932.01096875 |
transcript.pyannote[1248].end |
6933.66471875 |
transcript.pyannote[1249].speaker |
SPEAKER_10 |
transcript.pyannote[1249].start |
6934.54221875 |
transcript.pyannote[1249].end |
6944.95409375 |
transcript.pyannote[1250].speaker |
SPEAKER_10 |
transcript.pyannote[1250].start |
6945.40971875 |
transcript.pyannote[1250].end |
6959.78721875 |
transcript.pyannote[1251].speaker |
SPEAKER_02 |
transcript.pyannote[1251].start |
6959.58471875 |
transcript.pyannote[1251].end |
6966.79034375 |
transcript.pyannote[1252].speaker |
SPEAKER_10 |
transcript.pyannote[1252].start |
6962.43659375 |
transcript.pyannote[1252].end |
6963.24659375 |
transcript.pyannote[1253].speaker |
SPEAKER_10 |
transcript.pyannote[1253].start |
6966.43596875 |
transcript.pyannote[1253].end |
6968.22471875 |
transcript.pyannote[1254].speaker |
SPEAKER_02 |
transcript.pyannote[1254].start |
6967.34721875 |
transcript.pyannote[1254].end |
6994.44846875 |
transcript.pyannote[1255].speaker |
SPEAKER_10 |
transcript.pyannote[1255].start |
6970.23284375 |
transcript.pyannote[1255].end |
6970.77284375 |
transcript.pyannote[1256].speaker |
SPEAKER_10 |
transcript.pyannote[1256].start |
6993.95909375 |
transcript.pyannote[1256].end |
6997.43534375 |
transcript.pyannote[1257].speaker |
SPEAKER_10 |
transcript.pyannote[1257].start |
6997.92471875 |
transcript.pyannote[1257].end |
7006.37909375 |
transcript.pyannote[1258].speaker |
SPEAKER_10 |
transcript.pyannote[1258].start |
7006.46346875 |
transcript.pyannote[1258].end |
7010.69909375 |
transcript.pyannote[1259].speaker |
SPEAKER_13 |
transcript.pyannote[1259].start |
7010.61471875 |
transcript.pyannote[1259].end |
7010.88471875 |
transcript.pyannote[1260].speaker |
SPEAKER_10 |
transcript.pyannote[1260].start |
7010.96909375 |
transcript.pyannote[1260].end |
7014.79971875 |
transcript.pyannote[1261].speaker |
SPEAKER_10 |
transcript.pyannote[1261].start |
7015.00221875 |
transcript.pyannote[1261].end |
7016.48721875 |
transcript.pyannote[1262].speaker |
SPEAKER_07 |
transcript.pyannote[1262].start |
7016.87534375 |
transcript.pyannote[1262].end |
7017.68534375 |
transcript.pyannote[1263].speaker |
SPEAKER_10 |
transcript.pyannote[1263].start |
7017.68534375 |
transcript.pyannote[1263].end |
7017.93846875 |
transcript.pyannote[1264].speaker |
SPEAKER_07 |
transcript.pyannote[1264].start |
7018.59659375 |
transcript.pyannote[1264].end |
7019.52471875 |
transcript.pyannote[1265].speaker |
SPEAKER_07 |
transcript.pyannote[1265].start |
7021.48221875 |
transcript.pyannote[1265].end |
7028.75534375 |
transcript.pyannote[1266].speaker |
SPEAKER_07 |
transcript.pyannote[1266].start |
7028.99159375 |
transcript.pyannote[1266].end |
7030.39221875 |
transcript.pyannote[1267].speaker |
SPEAKER_20 |
transcript.pyannote[1267].start |
7035.01596875 |
transcript.pyannote[1267].end |
7036.60221875 |
transcript.pyannote[1268].speaker |
SPEAKER_20 |
transcript.pyannote[1268].start |
7040.39909375 |
transcript.pyannote[1268].end |
7041.15846875 |
transcript.pyannote[1269].speaker |
SPEAKER_20 |
transcript.pyannote[1269].start |
7043.92596875 |
transcript.pyannote[1269].end |
7044.34784375 |
transcript.pyannote[1270].speaker |
SPEAKER_13 |
transcript.pyannote[1270].start |
7043.99346875 |
transcript.pyannote[1270].end |
7044.48284375 |
transcript.pyannote[1271].speaker |
SPEAKER_20 |
transcript.pyannote[1271].start |
7044.92159375 |
transcript.pyannote[1271].end |
7045.32659375 |
transcript.pyannote[1272].speaker |
SPEAKER_20 |
transcript.pyannote[1272].start |
7045.95096875 |
transcript.pyannote[1272].end |
7081.13534375 |
transcript.pyannote[1273].speaker |
SPEAKER_10 |
transcript.pyannote[1273].start |
7079.19471875 |
transcript.pyannote[1273].end |
7081.50659375 |
transcript.pyannote[1274].speaker |
SPEAKER_20 |
transcript.pyannote[1274].start |
7081.50659375 |
transcript.pyannote[1274].end |
7081.72596875 |
transcript.pyannote[1275].speaker |
SPEAKER_10 |
transcript.pyannote[1275].start |
7081.57409375 |
transcript.pyannote[1275].end |
7082.75534375 |
transcript.pyannote[1276].speaker |
SPEAKER_20 |
transcript.pyannote[1276].start |
7082.73846875 |
transcript.pyannote[1276].end |
7108.05096875 |
transcript.pyannote[1277].speaker |
SPEAKER_10 |
transcript.pyannote[1277].start |
7083.59909375 |
transcript.pyannote[1277].end |
7083.91971875 |
transcript.pyannote[1278].speaker |
SPEAKER_00 |
transcript.pyannote[1278].start |
7091.76659375 |
transcript.pyannote[1278].end |
7092.03659375 |
transcript.pyannote[1279].speaker |
SPEAKER_13 |
transcript.pyannote[1279].start |
7092.03659375 |
transcript.pyannote[1279].end |
7092.39096875 |
transcript.pyannote[1280].speaker |
SPEAKER_13 |
transcript.pyannote[1280].start |
7101.23346875 |
transcript.pyannote[1280].end |
7101.26721875 |
transcript.pyannote[1281].speaker |
SPEAKER_10 |
transcript.pyannote[1281].start |
7101.28409375 |
transcript.pyannote[1281].end |
7101.38534375 |
transcript.pyannote[1282].speaker |
SPEAKER_10 |
transcript.pyannote[1282].start |
7103.71409375 |
transcript.pyannote[1282].end |
7104.55784375 |
transcript.pyannote[1283].speaker |
SPEAKER_10 |
transcript.pyannote[1283].start |
7108.50659375 |
transcript.pyannote[1283].end |
7109.43471875 |
transcript.pyannote[1284].speaker |
SPEAKER_20 |
transcript.pyannote[1284].start |
7108.74284375 |
transcript.pyannote[1284].end |
7123.77846875 |
transcript.pyannote[1285].speaker |
SPEAKER_10 |
transcript.pyannote[1285].start |
7113.99096875 |
transcript.pyannote[1285].end |
7114.31159375 |
transcript.pyannote[1286].speaker |
SPEAKER_10 |
transcript.pyannote[1286].start |
7119.30659375 |
transcript.pyannote[1286].end |
7119.47534375 |
transcript.pyannote[1287].speaker |
SPEAKER_10 |
transcript.pyannote[1287].start |
7122.32721875 |
transcript.pyannote[1287].end |
7122.81659375 |
transcript.pyannote[1288].speaker |
SPEAKER_10 |
transcript.pyannote[1288].start |
7123.66034375 |
transcript.pyannote[1288].end |
7127.00159375 |
transcript.pyannote[1289].speaker |
SPEAKER_20 |
transcript.pyannote[1289].start |
7126.47846875 |
transcript.pyannote[1289].end |
7128.11534375 |
transcript.pyannote[1290].speaker |
SPEAKER_10 |
transcript.pyannote[1290].start |
7127.91284375 |
transcript.pyannote[1290].end |
7141.29471875 |
transcript.pyannote[1291].speaker |
SPEAKER_20 |
transcript.pyannote[1291].start |
7138.67909375 |
transcript.pyannote[1291].end |
7138.78034375 |
transcript.pyannote[1292].speaker |
SPEAKER_20 |
transcript.pyannote[1292].start |
7140.29909375 |
transcript.pyannote[1292].end |
7140.97409375 |
transcript.pyannote[1293].speaker |
SPEAKER_20 |
transcript.pyannote[1293].start |
7141.24409375 |
transcript.pyannote[1293].end |
7142.89784375 |
transcript.pyannote[1294].speaker |
SPEAKER_20 |
transcript.pyannote[1294].start |
7143.35346875 |
transcript.pyannote[1294].end |
7166.77596875 |
transcript.pyannote[1295].speaker |
SPEAKER_13 |
transcript.pyannote[1295].start |
7150.01909375 |
transcript.pyannote[1295].end |
7150.13721875 |
transcript.pyannote[1296].speaker |
SPEAKER_13 |
transcript.pyannote[1296].start |
7153.03971875 |
transcript.pyannote[1296].end |
7153.19159375 |
transcript.pyannote[1297].speaker |
SPEAKER_00 |
transcript.pyannote[1297].start |
7153.19159375 |
transcript.pyannote[1297].end |
7153.20846875 |
transcript.pyannote[1298].speaker |
SPEAKER_13 |
transcript.pyannote[1298].start |
7157.83221875 |
transcript.pyannote[1298].end |
7157.96721875 |
transcript.pyannote[1299].speaker |
SPEAKER_00 |
transcript.pyannote[1299].start |
7157.96721875 |
transcript.pyannote[1299].end |
7158.03471875 |
transcript.pyannote[1300].speaker |
SPEAKER_00 |
transcript.pyannote[1300].start |
7160.93721875 |
transcript.pyannote[1300].end |
7161.74721875 |
transcript.pyannote[1301].speaker |
SPEAKER_20 |
transcript.pyannote[1301].start |
7167.58596875 |
transcript.pyannote[1301].end |
7174.18409375 |
transcript.pyannote[1302].speaker |
SPEAKER_13 |
transcript.pyannote[1302].start |
7174.18409375 |
transcript.pyannote[1302].end |
7174.35284375 |
transcript.pyannote[1303].speaker |
SPEAKER_20 |
transcript.pyannote[1303].start |
7174.35284375 |
transcript.pyannote[1303].end |
7179.70221875 |
transcript.pyannote[1304].speaker |
SPEAKER_10 |
transcript.pyannote[1304].start |
7180.02284375 |
transcript.pyannote[1304].end |
7183.34721875 |
transcript.pyannote[1305].speaker |
SPEAKER_10 |
transcript.pyannote[1305].start |
7183.78596875 |
transcript.pyannote[1305].end |
7201.75784375 |
transcript.pyannote[1306].speaker |
SPEAKER_20 |
transcript.pyannote[1306].start |
7200.37409375 |
transcript.pyannote[1306].end |
7209.92534375 |
transcript.pyannote[1307].speaker |
SPEAKER_20 |
transcript.pyannote[1307].start |
7210.24596875 |
transcript.pyannote[1307].end |
7254.55971875 |
transcript.pyannote[1308].speaker |
SPEAKER_10 |
transcript.pyannote[1308].start |
7227.61034375 |
transcript.pyannote[1308].end |
7228.97721875 |
transcript.pyannote[1309].speaker |
SPEAKER_00 |
transcript.pyannote[1309].start |
7228.97721875 |
transcript.pyannote[1309].end |
7229.41596875 |
transcript.pyannote[1310].speaker |
SPEAKER_10 |
transcript.pyannote[1310].start |
7254.55971875 |
transcript.pyannote[1310].end |
7267.75596875 |
transcript.pyannote[1311].speaker |
SPEAKER_20 |
transcript.pyannote[1311].start |
7268.09346875 |
transcript.pyannote[1311].end |
7270.86096875 |
transcript.pyannote[1312].speaker |
SPEAKER_10 |
transcript.pyannote[1312].start |
7268.12721875 |
transcript.pyannote[1312].end |
7268.66721875 |
transcript.pyannote[1313].speaker |
SPEAKER_10 |
transcript.pyannote[1313].start |
7269.54471875 |
transcript.pyannote[1313].end |
7276.12596875 |
transcript.pyannote[1314].speaker |
SPEAKER_10 |
transcript.pyannote[1314].start |
7276.66596875 |
transcript.pyannote[1314].end |
7285.15409375 |
transcript.pyannote[1315].speaker |
SPEAKER_20 |
transcript.pyannote[1315].start |
7283.92221875 |
transcript.pyannote[1315].end |
7292.49471875 |
transcript.pyannote[1316].speaker |
SPEAKER_10 |
transcript.pyannote[1316].start |
7289.79471875 |
transcript.pyannote[1316].end |
7290.06471875 |
transcript.pyannote[1317].speaker |
SPEAKER_20 |
transcript.pyannote[1317].start |
7292.74784375 |
transcript.pyannote[1317].end |
7343.44034375 |
transcript.pyannote[1318].speaker |
SPEAKER_00 |
transcript.pyannote[1318].start |
7295.32971875 |
transcript.pyannote[1318].end |
7295.38034375 |
transcript.pyannote[1319].speaker |
SPEAKER_13 |
transcript.pyannote[1319].start |
7295.38034375 |
transcript.pyannote[1319].end |
7295.51534375 |
transcript.pyannote[1320].speaker |
SPEAKER_00 |
transcript.pyannote[1320].start |
7295.51534375 |
transcript.pyannote[1320].end |
7295.54909375 |
transcript.pyannote[1321].speaker |
SPEAKER_06 |
transcript.pyannote[1321].start |
7334.96909375 |
transcript.pyannote[1321].end |
7335.32346875 |
transcript.pyannote[1322].speaker |
SPEAKER_00 |
transcript.pyannote[1322].start |
7335.32346875 |
transcript.pyannote[1322].end |
7335.34034375 |
transcript.pyannote[1323].speaker |
SPEAKER_13 |
transcript.pyannote[1323].start |
7338.88409375 |
transcript.pyannote[1323].end |
7339.23846875 |
transcript.pyannote[1324].speaker |
SPEAKER_20 |
transcript.pyannote[1324].start |
7343.84534375 |
transcript.pyannote[1324].end |
7344.84096875 |
transcript.pyannote[1325].speaker |
SPEAKER_13 |
transcript.pyannote[1325].start |
7344.84096875 |
transcript.pyannote[1325].end |
7345.21221875 |
transcript.pyannote[1326].speaker |
SPEAKER_20 |
transcript.pyannote[1326].start |
7345.14471875 |
transcript.pyannote[1326].end |
7362.66096875 |
transcript.pyannote[1327].speaker |
SPEAKER_20 |
transcript.pyannote[1327].start |
7363.52159375 |
transcript.pyannote[1327].end |
7367.23409375 |
transcript.pyannote[1328].speaker |
SPEAKER_10 |
transcript.pyannote[1328].start |
7367.47034375 |
transcript.pyannote[1328].end |
7369.37721875 |
transcript.pyannote[1329].speaker |
SPEAKER_10 |
transcript.pyannote[1329].start |
7369.44471875 |
transcript.pyannote[1329].end |
7382.75909375 |
transcript.pyannote[1330].speaker |
SPEAKER_20 |
transcript.pyannote[1330].start |
7381.10534375 |
transcript.pyannote[1330].end |
7389.72846875 |
transcript.pyannote[1331].speaker |
SPEAKER_10 |
transcript.pyannote[1331].start |
7389.39096875 |
transcript.pyannote[1331].end |
7406.13096875 |
transcript.pyannote[1332].speaker |
SPEAKER_20 |
transcript.pyannote[1332].start |
7402.65471875 |
transcript.pyannote[1332].end |
7405.18596875 |
transcript.pyannote[1333].speaker |
SPEAKER_20 |
transcript.pyannote[1333].start |
7405.43909375 |
transcript.pyannote[1333].end |
7406.23221875 |
transcript.pyannote[1334].speaker |
SPEAKER_20 |
transcript.pyannote[1334].start |
7406.68784375 |
transcript.pyannote[1334].end |
7407.27846875 |
transcript.pyannote[1335].speaker |
SPEAKER_10 |
transcript.pyannote[1335].start |
7407.27846875 |
transcript.pyannote[1335].end |
7407.61596875 |
transcript.pyannote[1336].speaker |
SPEAKER_20 |
transcript.pyannote[1336].start |
7407.61596875 |
transcript.pyannote[1336].end |
7410.80534375 |
transcript.pyannote[1337].speaker |
SPEAKER_10 |
transcript.pyannote[1337].start |
7409.87721875 |
transcript.pyannote[1337].end |
7410.11346875 |
transcript.pyannote[1338].speaker |
SPEAKER_20 |
transcript.pyannote[1338].start |
7411.24409375 |
transcript.pyannote[1338].end |
7420.25534375 |
transcript.pyannote[1339].speaker |
SPEAKER_10 |
transcript.pyannote[1339].start |
7415.22659375 |
transcript.pyannote[1339].end |
7415.54721875 |
transcript.pyannote[1340].speaker |
SPEAKER_10 |
transcript.pyannote[1340].start |
7417.90971875 |
transcript.pyannote[1340].end |
7430.68409375 |
transcript.pyannote[1341].speaker |
SPEAKER_20 |
transcript.pyannote[1341].start |
7426.70159375 |
transcript.pyannote[1341].end |
7429.57034375 |
transcript.pyannote[1342].speaker |
SPEAKER_20 |
transcript.pyannote[1342].start |
7430.04284375 |
transcript.pyannote[1342].end |
7430.14409375 |
transcript.pyannote[1343].speaker |
SPEAKER_20 |
transcript.pyannote[1343].start |
7430.71784375 |
transcript.pyannote[1343].end |
7440.85971875 |
transcript.pyannote[1344].speaker |
SPEAKER_10 |
transcript.pyannote[1344].start |
7436.01659375 |
transcript.pyannote[1344].end |
7436.38784375 |
transcript.pyannote[1345].speaker |
SPEAKER_10 |
transcript.pyannote[1345].start |
7437.23159375 |
transcript.pyannote[1345].end |
7437.67034375 |
transcript.pyannote[1346].speaker |
SPEAKER_10 |
transcript.pyannote[1346].start |
7440.55596875 |
transcript.pyannote[1346].end |
7440.99471875 |
transcript.pyannote[1347].speaker |
SPEAKER_20 |
transcript.pyannote[1347].start |
7441.24784375 |
transcript.pyannote[1347].end |
7442.54721875 |
transcript.pyannote[1348].speaker |
SPEAKER_10 |
transcript.pyannote[1348].start |
7442.73284375 |
transcript.pyannote[1348].end |
7447.28909375 |
transcript.pyannote[1349].speaker |
SPEAKER_10 |
transcript.pyannote[1349].start |
7447.66034375 |
transcript.pyannote[1349].end |
7448.57159375 |
transcript.pyannote[1350].speaker |
SPEAKER_10 |
transcript.pyannote[1350].start |
7448.97659375 |
transcript.pyannote[1350].end |
7452.06471875 |
transcript.pyannote[1351].speaker |
SPEAKER_10 |
transcript.pyannote[1351].start |
7452.53721875 |
transcript.pyannote[1351].end |
7464.88971875 |
transcript.pyannote[1352].speaker |
SPEAKER_20 |
transcript.pyannote[1352].start |
7457.48159375 |
transcript.pyannote[1352].end |
7458.93284375 |
transcript.pyannote[1353].speaker |
SPEAKER_10 |
transcript.pyannote[1353].start |
7465.19346875 |
transcript.pyannote[1353].end |
7467.85971875 |
transcript.pyannote[1354].speaker |
SPEAKER_20 |
transcript.pyannote[1354].start |
7467.72471875 |
transcript.pyannote[1354].end |
7502.82471875 |
transcript.pyannote[1355].speaker |
SPEAKER_10 |
transcript.pyannote[1355].start |
7472.17971875 |
transcript.pyannote[1355].end |
7472.56784375 |
transcript.pyannote[1356].speaker |
SPEAKER_13 |
transcript.pyannote[1356].start |
7484.58284375 |
transcript.pyannote[1356].end |
7484.61659375 |
transcript.pyannote[1357].speaker |
SPEAKER_10 |
transcript.pyannote[1357].start |
7484.61659375 |
transcript.pyannote[1357].end |
7485.19034375 |
transcript.pyannote[1358].speaker |
SPEAKER_10 |
transcript.pyannote[1358].start |
7488.37971875 |
transcript.pyannote[1358].end |
7490.91096875 |
transcript.pyannote[1359].speaker |
SPEAKER_10 |
transcript.pyannote[1359].start |
7491.09659375 |
transcript.pyannote[1359].end |
7491.19784375 |
transcript.pyannote[1360].speaker |
SPEAKER_10 |
transcript.pyannote[1360].start |
7502.82471875 |
transcript.pyannote[1360].end |
7505.67659375 |
transcript.pyannote[1361].speaker |
SPEAKER_20 |
transcript.pyannote[1361].start |
7504.47846875 |
transcript.pyannote[1361].end |
7508.24159375 |
transcript.pyannote[1362].speaker |
SPEAKER_10 |
transcript.pyannote[1362].start |
7507.65096875 |
transcript.pyannote[1362].end |
7508.52846875 |
transcript.pyannote[1363].speaker |
SPEAKER_10 |
transcript.pyannote[1363].start |
7508.68034375 |
transcript.pyannote[1363].end |
7509.70971875 |
transcript.pyannote[1364].speaker |
SPEAKER_10 |
transcript.pyannote[1364].start |
7510.35096875 |
transcript.pyannote[1364].end |
7510.36784375 |
transcript.pyannote[1365].speaker |
SPEAKER_20 |
transcript.pyannote[1365].start |
7510.36784375 |
transcript.pyannote[1365].end |
7511.66721875 |
transcript.pyannote[1366].speaker |
SPEAKER_10 |
transcript.pyannote[1366].start |
7511.66721875 |
transcript.pyannote[1366].end |
7511.68409375 |
transcript.pyannote[1367].speaker |
SPEAKER_10 |
transcript.pyannote[1367].start |
7512.61221875 |
transcript.pyannote[1367].end |
7515.19409375 |
transcript.pyannote[1368].speaker |
SPEAKER_20 |
transcript.pyannote[1368].start |
7514.87346875 |
transcript.pyannote[1368].end |
7522.97346875 |
transcript.pyannote[1369].speaker |
SPEAKER_10 |
transcript.pyannote[1369].start |
7522.97346875 |
transcript.pyannote[1369].end |
7525.03221875 |
transcript.pyannote[1370].speaker |
SPEAKER_20 |
transcript.pyannote[1370].start |
7524.71159375 |
transcript.pyannote[1370].end |
7524.86346875 |
transcript.pyannote[1371].speaker |
SPEAKER_20 |
transcript.pyannote[1371].start |
7525.03221875 |
transcript.pyannote[1371].end |
7526.12909375 |
transcript.pyannote[1372].speaker |
SPEAKER_10 |
transcript.pyannote[1372].start |
7526.12909375 |
transcript.pyannote[1372].end |
7526.16284375 |
transcript.pyannote[1373].speaker |
SPEAKER_10 |
transcript.pyannote[1373].start |
7526.75346875 |
transcript.pyannote[1373].end |
7529.28471875 |
transcript.pyannote[1374].speaker |
SPEAKER_20 |
transcript.pyannote[1374].start |
7528.27221875 |
transcript.pyannote[1374].end |
7537.30034375 |
transcript.pyannote[1375].speaker |
SPEAKER_10 |
transcript.pyannote[1375].start |
7530.68534375 |
transcript.pyannote[1375].end |
7531.90034375 |
transcript.pyannote[1376].speaker |
SPEAKER_10 |
transcript.pyannote[1376].start |
7533.53721875 |
transcript.pyannote[1376].end |
7535.27534375 |
transcript.pyannote[1377].speaker |
SPEAKER_10 |
transcript.pyannote[1377].start |
7535.81534375 |
transcript.pyannote[1377].end |
7547.02034375 |
transcript.pyannote[1378].speaker |
SPEAKER_20 |
transcript.pyannote[1378].start |
7546.63221875 |
transcript.pyannote[1378].end |
7548.89346875 |
transcript.pyannote[1379].speaker |
SPEAKER_10 |
transcript.pyannote[1379].start |
7547.42534375 |
transcript.pyannote[1379].end |
7549.68659375 |
transcript.pyannote[1380].speaker |
SPEAKER_20 |
transcript.pyannote[1380].start |
7548.94409375 |
transcript.pyannote[1380].end |
7550.00721875 |
transcript.pyannote[1381].speaker |
SPEAKER_10 |
transcript.pyannote[1381].start |
7549.93971875 |
transcript.pyannote[1381].end |
7553.56784375 |
transcript.pyannote[1382].speaker |
SPEAKER_20 |
transcript.pyannote[1382].start |
7551.27284375 |
transcript.pyannote[1382].end |
7557.39846875 |
transcript.pyannote[1383].speaker |
SPEAKER_07 |
transcript.pyannote[1383].start |
7558.29284375 |
transcript.pyannote[1383].end |
7558.74846875 |
transcript.pyannote[1384].speaker |
SPEAKER_07 |
transcript.pyannote[1384].start |
7559.47409375 |
transcript.pyannote[1384].end |
7562.51159375 |
transcript.pyannote[1385].speaker |
SPEAKER_01 |
transcript.pyannote[1385].start |
7570.78034375 |
transcript.pyannote[1385].end |
7571.80971875 |
transcript.pyannote[1386].speaker |
SPEAKER_01 |
transcript.pyannote[1386].start |
7572.97409375 |
transcript.pyannote[1386].end |
7574.39159375 |
transcript.pyannote[1387].speaker |
SPEAKER_01 |
transcript.pyannote[1387].start |
7574.56034375 |
transcript.pyannote[1387].end |
7576.33221875 |
transcript.pyannote[1388].speaker |
SPEAKER_07 |
transcript.pyannote[1388].start |
7576.65284375 |
transcript.pyannote[1388].end |
7577.63159375 |
transcript.pyannote[1389].speaker |
SPEAKER_01 |
transcript.pyannote[1389].start |
7584.97221875 |
transcript.pyannote[1389].end |
7586.10284375 |
transcript.pyannote[1390].speaker |
SPEAKER_01 |
transcript.pyannote[1390].start |
7586.35596875 |
transcript.pyannote[1390].end |
7587.25034375 |
transcript.pyannote[1391].speaker |
SPEAKER_01 |
transcript.pyannote[1391].start |
7588.04346875 |
transcript.pyannote[1391].end |
7588.75221875 |
transcript.pyannote[1392].speaker |
SPEAKER_01 |
transcript.pyannote[1392].start |
7589.46096875 |
transcript.pyannote[1392].end |
7590.40596875 |
transcript.pyannote[1393].speaker |
SPEAKER_01 |
transcript.pyannote[1393].start |
7590.99659375 |
transcript.pyannote[1393].end |
7592.04284375 |
transcript.pyannote[1394].speaker |
SPEAKER_01 |
transcript.pyannote[1394].start |
7593.00471875 |
transcript.pyannote[1394].end |
7594.01721875 |
transcript.pyannote[1395].speaker |
SPEAKER_01 |
transcript.pyannote[1395].start |
7594.13534375 |
transcript.pyannote[1395].end |
7595.90721875 |
transcript.pyannote[1396].speaker |
SPEAKER_01 |
transcript.pyannote[1396].start |
7596.10971875 |
transcript.pyannote[1396].end |
7597.08846875 |
transcript.pyannote[1397].speaker |
SPEAKER_01 |
transcript.pyannote[1397].start |
7598.15159375 |
transcript.pyannote[1397].end |
7598.97846875 |
transcript.pyannote[1398].speaker |
SPEAKER_01 |
transcript.pyannote[1398].start |
7599.31596875 |
transcript.pyannote[1398].end |
7601.54346875 |
transcript.pyannote[1399].speaker |
SPEAKER_01 |
transcript.pyannote[1399].start |
7602.67409375 |
transcript.pyannote[1399].end |
7603.18034375 |
transcript.pyannote[1400].speaker |
SPEAKER_01 |
transcript.pyannote[1400].start |
7603.46721875 |
transcript.pyannote[1400].end |
7605.10409375 |
transcript.pyannote[1401].speaker |
SPEAKER_01 |
transcript.pyannote[1401].start |
7605.72846875 |
transcript.pyannote[1401].end |
7606.75784375 |
transcript.pyannote[1402].speaker |
SPEAKER_01 |
transcript.pyannote[1402].start |
7607.85471875 |
transcript.pyannote[1402].end |
7608.54659375 |
transcript.pyannote[1403].speaker |
SPEAKER_01 |
transcript.pyannote[1403].start |
7609.13721875 |
transcript.pyannote[1403].end |
7610.68971875 |
transcript.pyannote[1404].speaker |
SPEAKER_01 |
transcript.pyannote[1404].start |
7610.82471875 |
transcript.pyannote[1404].end |
7612.95096875 |
transcript.pyannote[1405].speaker |
SPEAKER_01 |
transcript.pyannote[1405].start |
7613.79471875 |
transcript.pyannote[1405].end |
7617.92909375 |
transcript.pyannote[1406].speaker |
SPEAKER_01 |
transcript.pyannote[1406].start |
7618.68846875 |
transcript.pyannote[1406].end |
7621.06784375 |
transcript.pyannote[1407].speaker |
SPEAKER_01 |
transcript.pyannote[1407].start |
7621.38846875 |
transcript.pyannote[1407].end |
7622.01284375 |
transcript.pyannote[1408].speaker |
SPEAKER_01 |
transcript.pyannote[1408].start |
7622.46846875 |
transcript.pyannote[1408].end |
7624.49346875 |
transcript.pyannote[1409].speaker |
SPEAKER_01 |
transcript.pyannote[1409].start |
7625.33721875 |
transcript.pyannote[1409].end |
7627.10909375 |
transcript.pyannote[1410].speaker |
SPEAKER_01 |
transcript.pyannote[1410].start |
7628.00346875 |
transcript.pyannote[1410].end |
7629.47159375 |
transcript.pyannote[1411].speaker |
SPEAKER_01 |
transcript.pyannote[1411].start |
7629.99471875 |
transcript.pyannote[1411].end |
7632.47534375 |
transcript.pyannote[1412].speaker |
SPEAKER_01 |
transcript.pyannote[1412].start |
7633.45409375 |
transcript.pyannote[1412].end |
7634.36534375 |
transcript.pyannote[1413].speaker |
SPEAKER_01 |
transcript.pyannote[1413].start |
7635.58034375 |
transcript.pyannote[1413].end |
7636.74471875 |
transcript.pyannote[1414].speaker |
SPEAKER_01 |
transcript.pyannote[1414].start |
7636.99784375 |
transcript.pyannote[1414].end |
7638.02721875 |
transcript.pyannote[1415].speaker |
SPEAKER_01 |
transcript.pyannote[1415].start |
7638.56721875 |
transcript.pyannote[1415].end |
7640.15346875 |
transcript.pyannote[1416].speaker |
SPEAKER_01 |
transcript.pyannote[1416].start |
7640.74409375 |
transcript.pyannote[1416].end |
7644.10221875 |
transcript.pyannote[1417].speaker |
SPEAKER_01 |
transcript.pyannote[1417].start |
7645.41846875 |
transcript.pyannote[1417].end |
7647.19034375 |
transcript.pyannote[1418].speaker |
SPEAKER_01 |
transcript.pyannote[1418].start |
7647.49409375 |
transcript.pyannote[1418].end |
7648.00034375 |
transcript.pyannote[1419].speaker |
SPEAKER_01 |
transcript.pyannote[1419].start |
7649.14784375 |
transcript.pyannote[1419].end |
7650.56534375 |
transcript.pyannote[1420].speaker |
SPEAKER_01 |
transcript.pyannote[1420].start |
7651.18971875 |
transcript.pyannote[1420].end |
7653.43409375 |
transcript.pyannote[1421].speaker |
SPEAKER_01 |
transcript.pyannote[1421].start |
7653.97409375 |
transcript.pyannote[1421].end |
7655.64471875 |
transcript.pyannote[1422].speaker |
SPEAKER_01 |
transcript.pyannote[1422].start |
7656.31971875 |
transcript.pyannote[1422].end |
7657.41659375 |
transcript.pyannote[1423].speaker |
SPEAKER_01 |
transcript.pyannote[1423].start |
7658.32784375 |
transcript.pyannote[1423].end |
7659.99846875 |
transcript.pyannote[1424].speaker |
SPEAKER_01 |
transcript.pyannote[1424].start |
7660.63971875 |
transcript.pyannote[1424].end |
7662.00659375 |
transcript.pyannote[1425].speaker |
SPEAKER_01 |
transcript.pyannote[1425].start |
7662.34409375 |
transcript.pyannote[1425].end |
7664.06534375 |
transcript.pyannote[1426].speaker |
SPEAKER_01 |
transcript.pyannote[1426].start |
7664.50409375 |
transcript.pyannote[1426].end |
7666.63034375 |
transcript.pyannote[1427].speaker |
SPEAKER_01 |
transcript.pyannote[1427].start |
7667.50784375 |
transcript.pyannote[1427].end |
7669.26284375 |
transcript.pyannote[1428].speaker |
SPEAKER_01 |
transcript.pyannote[1428].start |
7670.19096875 |
transcript.pyannote[1428].end |
7673.05971875 |
transcript.pyannote[1429].speaker |
SPEAKER_01 |
transcript.pyannote[1429].start |
7673.90346875 |
transcript.pyannote[1429].end |
7677.24471875 |
transcript.pyannote[1430].speaker |
SPEAKER_01 |
transcript.pyannote[1430].start |
7678.10534375 |
transcript.pyannote[1430].end |
7682.08784375 |
transcript.pyannote[1431].speaker |
SPEAKER_01 |
transcript.pyannote[1431].start |
7683.11721875 |
transcript.pyannote[1431].end |
7686.54284375 |
transcript.pyannote[1432].speaker |
SPEAKER_01 |
transcript.pyannote[1432].start |
7687.31909375 |
transcript.pyannote[1432].end |
7688.14596875 |
transcript.pyannote[1433].speaker |
SPEAKER_01 |
transcript.pyannote[1433].start |
7688.43284375 |
transcript.pyannote[1433].end |
7690.08659375 |
transcript.pyannote[1434].speaker |
SPEAKER_01 |
transcript.pyannote[1434].start |
7690.64346875 |
transcript.pyannote[1434].end |
7692.39846875 |
transcript.pyannote[1435].speaker |
SPEAKER_01 |
transcript.pyannote[1435].start |
7692.95534375 |
transcript.pyannote[1435].end |
7695.65534375 |
transcript.pyannote[1436].speaker |
SPEAKER_01 |
transcript.pyannote[1436].start |
7696.11096875 |
transcript.pyannote[1436].end |
7703.58659375 |
transcript.pyannote[1437].speaker |
SPEAKER_01 |
transcript.pyannote[1437].start |
7704.31221875 |
transcript.pyannote[1437].end |
7707.04596875 |
transcript.pyannote[1438].speaker |
SPEAKER_01 |
transcript.pyannote[1438].start |
7707.55221875 |
transcript.pyannote[1438].end |
7710.04971875 |
transcript.pyannote[1439].speaker |
SPEAKER_01 |
transcript.pyannote[1439].start |
7711.38284375 |
transcript.pyannote[1439].end |
7716.73221875 |
transcript.pyannote[1440].speaker |
SPEAKER_01 |
transcript.pyannote[1440].start |
7717.33971875 |
transcript.pyannote[1440].end |
7719.60096875 |
transcript.pyannote[1441].speaker |
SPEAKER_01 |
transcript.pyannote[1441].start |
7720.37721875 |
transcript.pyannote[1441].end |
7723.26284375 |
transcript.pyannote[1442].speaker |
SPEAKER_01 |
transcript.pyannote[1442].start |
7723.83659375 |
transcript.pyannote[1442].end |
7728.78096875 |
transcript.pyannote[1443].speaker |
SPEAKER_01 |
transcript.pyannote[1443].start |
7729.38846875 |
transcript.pyannote[1443].end |
7731.34596875 |
transcript.pyannote[1444].speaker |
SPEAKER_01 |
transcript.pyannote[1444].start |
7732.02096875 |
transcript.pyannote[1444].end |
7733.01659375 |
transcript.pyannote[1445].speaker |
SPEAKER_01 |
transcript.pyannote[1445].start |
7733.48909375 |
transcript.pyannote[1445].end |
7735.00784375 |
transcript.pyannote[1446].speaker |
SPEAKER_01 |
transcript.pyannote[1446].start |
7735.59846875 |
transcript.pyannote[1446].end |
7736.89784375 |
transcript.pyannote[1447].speaker |
SPEAKER_01 |
transcript.pyannote[1447].start |
7737.82596875 |
transcript.pyannote[1447].end |
7740.22221875 |
transcript.pyannote[1448].speaker |
SPEAKER_01 |
transcript.pyannote[1448].start |
7741.13346875 |
transcript.pyannote[1448].end |
7745.36909375 |
transcript.pyannote[1449].speaker |
SPEAKER_01 |
transcript.pyannote[1449].start |
7746.28034375 |
transcript.pyannote[1449].end |
7747.41096875 |
transcript.pyannote[1450].speaker |
SPEAKER_01 |
transcript.pyannote[1450].start |
7747.84971875 |
transcript.pyannote[1450].end |
7748.94659375 |
transcript.pyannote[1451].speaker |
SPEAKER_01 |
transcript.pyannote[1451].start |
7750.41471875 |
transcript.pyannote[1451].end |
7753.08096875 |
transcript.pyannote[1452].speaker |
SPEAKER_01 |
transcript.pyannote[1452].start |
7753.77284375 |
transcript.pyannote[1452].end |
7755.81471875 |
transcript.pyannote[1453].speaker |
SPEAKER_01 |
transcript.pyannote[1453].start |
7756.18596875 |
transcript.pyannote[1453].end |
7757.04659375 |
transcript.pyannote[1454].speaker |
SPEAKER_01 |
transcript.pyannote[1454].start |
7757.21534375 |
transcript.pyannote[1454].end |
7761.11346875 |
transcript.pyannote[1455].speaker |
SPEAKER_01 |
transcript.pyannote[1455].start |
7761.26534375 |
transcript.pyannote[1455].end |
7763.49284375 |
transcript.pyannote[1456].speaker |
SPEAKER_01 |
transcript.pyannote[1456].start |
7764.15096875 |
transcript.pyannote[1456].end |
7767.76221875 |
transcript.pyannote[1457].speaker |
SPEAKER_01 |
transcript.pyannote[1457].start |
7768.18409375 |
transcript.pyannote[1457].end |
7772.01471875 |
transcript.pyannote[1458].speaker |
SPEAKER_01 |
transcript.pyannote[1458].start |
7773.22971875 |
transcript.pyannote[1458].end |
7785.09284375 |
transcript.pyannote[1459].speaker |
SPEAKER_01 |
transcript.pyannote[1459].start |
7786.29096875 |
transcript.pyannote[1459].end |
7787.59034375 |
transcript.pyannote[1460].speaker |
SPEAKER_01 |
transcript.pyannote[1460].start |
7788.72096875 |
transcript.pyannote[1460].end |
7790.29034375 |
transcript.pyannote[1461].speaker |
SPEAKER_01 |
transcript.pyannote[1461].start |
7791.18471875 |
transcript.pyannote[1461].end |
7792.75409375 |
transcript.pyannote[1462].speaker |
SPEAKER_01 |
transcript.pyannote[1462].start |
7793.02409375 |
transcript.pyannote[1462].end |
7794.59346875 |
transcript.pyannote[1463].speaker |
SPEAKER_01 |
transcript.pyannote[1463].start |
7795.55534375 |
transcript.pyannote[1463].end |
7796.46659375 |
transcript.pyannote[1464].speaker |
SPEAKER_01 |
transcript.pyannote[1464].start |
7796.71971875 |
transcript.pyannote[1464].end |
7797.71534375 |
transcript.pyannote[1465].speaker |
SPEAKER_01 |
transcript.pyannote[1465].start |
7798.10346875 |
transcript.pyannote[1465].end |
7809.83159375 |
transcript.pyannote[1466].speaker |
SPEAKER_01 |
transcript.pyannote[1466].start |
7810.52346875 |
transcript.pyannote[1466].end |
7811.45159375 |
transcript.pyannote[1467].speaker |
SPEAKER_01 |
transcript.pyannote[1467].start |
7811.90721875 |
transcript.pyannote[1467].end |
7815.04596875 |
transcript.pyannote[1468].speaker |
SPEAKER_01 |
transcript.pyannote[1468].start |
7815.56909375 |
transcript.pyannote[1468].end |
7816.88534375 |
transcript.pyannote[1469].speaker |
SPEAKER_01 |
transcript.pyannote[1469].start |
7817.34096875 |
transcript.pyannote[1469].end |
7818.11721875 |
transcript.pyannote[1470].speaker |
SPEAKER_01 |
transcript.pyannote[1470].start |
7818.55596875 |
transcript.pyannote[1470].end |
7821.47534375 |
transcript.pyannote[1471].speaker |
SPEAKER_01 |
transcript.pyannote[1471].start |
7822.03221875 |
transcript.pyannote[1471].end |
7825.27221875 |
transcript.pyannote[1472].speaker |
SPEAKER_01 |
transcript.pyannote[1472].start |
7825.93034375 |
transcript.pyannote[1472].end |
7828.09034375 |
transcript.pyannote[1473].speaker |
SPEAKER_01 |
transcript.pyannote[1473].start |
7828.66409375 |
transcript.pyannote[1473].end |
7829.27159375 |
transcript.pyannote[1474].speaker |
SPEAKER_01 |
transcript.pyannote[1474].start |
7829.44034375 |
transcript.pyannote[1474].end |
7830.45284375 |
transcript.pyannote[1475].speaker |
SPEAKER_01 |
transcript.pyannote[1475].start |
7831.22909375 |
transcript.pyannote[1475].end |
7836.12284375 |
transcript.pyannote[1476].speaker |
SPEAKER_01 |
transcript.pyannote[1476].start |
7836.49409375 |
transcript.pyannote[1476].end |
7839.07596875 |
transcript.pyannote[1477].speaker |
SPEAKER_01 |
transcript.pyannote[1477].start |
7839.46409375 |
transcript.pyannote[1477].end |
7843.19346875 |
transcript.pyannote[1478].speaker |
SPEAKER_01 |
transcript.pyannote[1478].start |
7843.75034375 |
transcript.pyannote[1478].end |
7844.67846875 |
transcript.pyannote[1479].speaker |
SPEAKER_01 |
transcript.pyannote[1479].start |
7845.21846875 |
transcript.pyannote[1479].end |
7846.48409375 |
transcript.pyannote[1480].speaker |
SPEAKER_01 |
transcript.pyannote[1480].start |
7847.44596875 |
transcript.pyannote[1480].end |
7849.40346875 |
transcript.pyannote[1481].speaker |
SPEAKER_01 |
transcript.pyannote[1481].start |
7850.02784375 |
transcript.pyannote[1481].end |
7851.86721875 |
transcript.pyannote[1482].speaker |
SPEAKER_01 |
transcript.pyannote[1482].start |
7852.18784375 |
transcript.pyannote[1482].end |
7857.21659375 |
transcript.pyannote[1483].speaker |
SPEAKER_01 |
transcript.pyannote[1483].start |
7857.63846875 |
transcript.pyannote[1483].end |
7861.08096875 |
transcript.pyannote[1484].speaker |
SPEAKER_01 |
transcript.pyannote[1484].start |
7862.05971875 |
transcript.pyannote[1484].end |
7863.35909375 |
transcript.pyannote[1485].speaker |
SPEAKER_01 |
transcript.pyannote[1485].start |
7864.06784375 |
transcript.pyannote[1485].end |
7871.99909375 |
transcript.pyannote[1486].speaker |
SPEAKER_01 |
transcript.pyannote[1486].start |
7872.53909375 |
transcript.pyannote[1486].end |
7873.88909375 |
transcript.pyannote[1487].speaker |
SPEAKER_01 |
transcript.pyannote[1487].start |
7875.64409375 |
transcript.pyannote[1487].end |
7879.05284375 |
transcript.pyannote[1488].speaker |
SPEAKER_01 |
transcript.pyannote[1488].start |
7879.52534375 |
transcript.pyannote[1488].end |
7880.65596875 |
transcript.pyannote[1489].speaker |
SPEAKER_01 |
transcript.pyannote[1489].start |
7882.34346875 |
transcript.pyannote[1489].end |
7883.01846875 |
transcript.pyannote[1490].speaker |
SPEAKER_01 |
transcript.pyannote[1490].start |
7884.33471875 |
transcript.pyannote[1490].end |
7886.08971875 |
transcript.pyannote[1491].speaker |
SPEAKER_01 |
transcript.pyannote[1491].start |
7886.12346875 |
transcript.pyannote[1491].end |
7889.31284375 |
transcript.pyannote[1492].speaker |
SPEAKER_01 |
transcript.pyannote[1492].start |
7889.78534375 |
transcript.pyannote[1492].end |
7891.11846875 |
transcript.pyannote[1493].speaker |
SPEAKER_01 |
transcript.pyannote[1493].start |
7892.19846875 |
transcript.pyannote[1493].end |
7895.57346875 |
transcript.pyannote[1494].speaker |
SPEAKER_01 |
transcript.pyannote[1494].start |
7895.87721875 |
transcript.pyannote[1494].end |
7898.08784375 |
transcript.pyannote[1495].speaker |
SPEAKER_01 |
transcript.pyannote[1495].start |
7899.10034375 |
transcript.pyannote[1495].end |
7903.69034375 |
transcript.pyannote[1496].speaker |
SPEAKER_01 |
transcript.pyannote[1496].start |
7904.50034375 |
transcript.pyannote[1496].end |
7912.41471875 |
transcript.pyannote[1497].speaker |
SPEAKER_01 |
transcript.pyannote[1497].start |
7913.05596875 |
transcript.pyannote[1497].end |
7914.38909375 |
transcript.pyannote[1498].speaker |
SPEAKER_01 |
transcript.pyannote[1498].start |
7915.01346875 |
transcript.pyannote[1498].end |
7917.59534375 |
transcript.pyannote[1499].speaker |
SPEAKER_01 |
transcript.pyannote[1499].start |
7918.35471875 |
transcript.pyannote[1499].end |
7920.37971875 |
transcript.pyannote[1500].speaker |
SPEAKER_01 |
transcript.pyannote[1500].start |
7921.10534375 |
transcript.pyannote[1500].end |
7923.80534375 |
transcript.pyannote[1501].speaker |
SPEAKER_01 |
transcript.pyannote[1501].start |
7924.88534375 |
transcript.pyannote[1501].end |
7928.39534375 |
transcript.pyannote[1502].speaker |
SPEAKER_01 |
transcript.pyannote[1502].start |
7929.07034375 |
transcript.pyannote[1502].end |
7929.62721875 |
transcript.pyannote[1503].speaker |
SPEAKER_01 |
transcript.pyannote[1503].start |
7929.88034375 |
transcript.pyannote[1503].end |
7930.69034375 |
transcript.pyannote[1504].speaker |
SPEAKER_01 |
transcript.pyannote[1504].start |
7931.38221875 |
transcript.pyannote[1504].end |
7932.12471875 |
transcript.pyannote[1505].speaker |
SPEAKER_01 |
transcript.pyannote[1505].start |
7932.56346875 |
transcript.pyannote[1505].end |
7935.36471875 |
transcript.pyannote[1506].speaker |
SPEAKER_01 |
transcript.pyannote[1506].start |
7936.46159375 |
transcript.pyannote[1506].end |
7937.44034375 |
transcript.pyannote[1507].speaker |
SPEAKER_01 |
transcript.pyannote[1507].start |
7938.45284375 |
transcript.pyannote[1507].end |
7943.05971875 |
transcript.pyannote[1508].speaker |
SPEAKER_01 |
transcript.pyannote[1508].start |
7944.13971875 |
transcript.pyannote[1508].end |
7945.57409375 |
transcript.pyannote[1509].speaker |
SPEAKER_01 |
transcript.pyannote[1509].start |
7945.79346875 |
transcript.pyannote[1509].end |
7946.43471875 |
transcript.pyannote[1510].speaker |
SPEAKER_01 |
transcript.pyannote[1510].start |
7947.10971875 |
transcript.pyannote[1510].end |
7948.69596875 |
transcript.pyannote[1511].speaker |
SPEAKER_01 |
transcript.pyannote[1511].start |
7948.94909375 |
transcript.pyannote[1511].end |
7949.53971875 |
transcript.pyannote[1512].speaker |
SPEAKER_01 |
transcript.pyannote[1512].start |
7950.83909375 |
transcript.pyannote[1512].end |
7951.98659375 |
transcript.pyannote[1513].speaker |
SPEAKER_01 |
transcript.pyannote[1513].start |
7952.59409375 |
transcript.pyannote[1513].end |
7954.92284375 |
transcript.pyannote[1514].speaker |
SPEAKER_01 |
transcript.pyannote[1514].start |
7954.97346875 |
transcript.pyannote[1514].end |
7956.86346875 |
transcript.pyannote[1515].speaker |
SPEAKER_01 |
transcript.pyannote[1515].start |
7957.20096875 |
transcript.pyannote[1515].end |
7962.76971875 |
transcript.pyannote[1516].speaker |
SPEAKER_01 |
transcript.pyannote[1516].start |
7965.53721875 |
transcript.pyannote[1516].end |
7966.61721875 |
transcript.pyannote[1517].speaker |
SPEAKER_01 |
transcript.pyannote[1517].start |
7966.68471875 |
transcript.pyannote[1517].end |
7969.75596875 |
transcript.pyannote[1518].speaker |
SPEAKER_10 |
transcript.pyannote[1518].start |
7969.11471875 |
transcript.pyannote[1518].end |
7969.70534375 |
transcript.pyannote[1519].speaker |
SPEAKER_10 |
transcript.pyannote[1519].start |
7969.75596875 |
transcript.pyannote[1519].end |
7982.02409375 |
transcript.pyannote[1520].speaker |
SPEAKER_01 |
transcript.pyannote[1520].start |
7980.57284375 |
transcript.pyannote[1520].end |
7981.38284375 |
transcript.pyannote[1521].speaker |
SPEAKER_10 |
transcript.pyannote[1521].start |
7982.59784375 |
transcript.pyannote[1521].end |
7990.52909375 |
transcript.pyannote[1522].speaker |
SPEAKER_01 |
transcript.pyannote[1522].start |
7983.71159375 |
transcript.pyannote[1522].end |
7984.43721875 |
transcript.pyannote[1523].speaker |
SPEAKER_01 |
transcript.pyannote[1523].start |
7985.97284375 |
transcript.pyannote[1523].end |
7987.03596875 |
transcript.pyannote[1524].speaker |
SPEAKER_13 |
transcript.pyannote[1524].start |
7987.03596875 |
transcript.pyannote[1524].end |
7988.03159375 |
transcript.pyannote[1525].speaker |
SPEAKER_01 |
transcript.pyannote[1525].start |
7988.03159375 |
transcript.pyannote[1525].end |
7989.02721875 |
transcript.pyannote[1526].speaker |
SPEAKER_13 |
transcript.pyannote[1526].start |
7989.02721875 |
transcript.pyannote[1526].end |
7990.36034375 |
transcript.pyannote[1527].speaker |
SPEAKER_01 |
transcript.pyannote[1527].start |
7990.36034375 |
transcript.pyannote[1527].end |
7990.71471875 |
transcript.pyannote[1528].speaker |
SPEAKER_10 |
transcript.pyannote[1528].start |
7990.71471875 |
transcript.pyannote[1528].end |
7997.46471875 |
transcript.pyannote[1529].speaker |
SPEAKER_01 |
transcript.pyannote[1529].start |
7990.73159375 |
transcript.pyannote[1529].end |
7990.96784375 |
transcript.pyannote[1530].speaker |
SPEAKER_13 |
transcript.pyannote[1530].start |
7990.96784375 |
transcript.pyannote[1530].end |
7992.35159375 |
transcript.pyannote[1531].speaker |
SPEAKER_10 |
transcript.pyannote[1531].start |
7997.75159375 |
transcript.pyannote[1531].end |
8004.65346875 |
transcript.pyannote[1532].speaker |
SPEAKER_01 |
transcript.pyannote[1532].start |
8003.53971875 |
transcript.pyannote[1532].end |
8004.95721875 |
transcript.pyannote[1533].speaker |
SPEAKER_01 |
transcript.pyannote[1533].start |
8005.83471875 |
transcript.pyannote[1533].end |
8014.44096875 |
transcript.pyannote[1534].speaker |
SPEAKER_10 |
transcript.pyannote[1534].start |
8013.42846875 |
transcript.pyannote[1534].end |
8017.69784375 |
transcript.pyannote[1535].speaker |
SPEAKER_10 |
transcript.pyannote[1535].start |
8018.54159375 |
transcript.pyannote[1535].end |
8023.26659375 |
transcript.pyannote[1536].speaker |
SPEAKER_10 |
transcript.pyannote[1536].start |
8023.40159375 |
transcript.pyannote[1536].end |
8025.15659375 |
transcript.pyannote[1537].speaker |
SPEAKER_10 |
transcript.pyannote[1537].start |
8025.47721875 |
transcript.pyannote[1537].end |
8031.38346875 |
transcript.pyannote[1538].speaker |
SPEAKER_17 |
transcript.pyannote[1538].start |
8029.10534375 |
transcript.pyannote[1538].end |
8029.13909375 |
transcript.pyannote[1539].speaker |
SPEAKER_01 |
transcript.pyannote[1539].start |
8029.13909375 |
transcript.pyannote[1539].end |
8029.72971875 |
transcript.pyannote[1540].speaker |
SPEAKER_10 |
transcript.pyannote[1540].start |
8031.41721875 |
transcript.pyannote[1540].end |
8033.03721875 |
transcript.pyannote[1541].speaker |
SPEAKER_01 |
transcript.pyannote[1541].start |
8033.03721875 |
transcript.pyannote[1541].end |
8036.26034375 |
transcript.pyannote[1542].speaker |
SPEAKER_10 |
transcript.pyannote[1542].start |
8034.08346875 |
transcript.pyannote[1542].end |
8034.67409375 |
transcript.pyannote[1543].speaker |
SPEAKER_01 |
transcript.pyannote[1543].start |
8036.31096875 |
transcript.pyannote[1543].end |
8041.52534375 |
transcript.pyannote[1544].speaker |
SPEAKER_01 |
transcript.pyannote[1544].start |
8041.93034375 |
transcript.pyannote[1544].end |
8043.97221875 |
transcript.pyannote[1545].speaker |
SPEAKER_10 |
transcript.pyannote[1545].start |
8043.22971875 |
transcript.pyannote[1545].end |
8043.61784375 |
transcript.pyannote[1546].speaker |
SPEAKER_01 |
transcript.pyannote[1546].start |
8044.61346875 |
transcript.pyannote[1546].end |
8046.52034375 |
transcript.pyannote[1547].speaker |
SPEAKER_01 |
transcript.pyannote[1547].start |
8047.56659375 |
transcript.pyannote[1547].end |
8048.52846875 |
transcript.pyannote[1548].speaker |
SPEAKER_01 |
transcript.pyannote[1548].start |
8049.60846875 |
transcript.pyannote[1548].end |
8052.40971875 |
transcript.pyannote[1549].speaker |
SPEAKER_01 |
transcript.pyannote[1549].start |
8053.13534375 |
transcript.pyannote[1549].end |
8056.49346875 |
transcript.pyannote[1550].speaker |
SPEAKER_01 |
transcript.pyannote[1550].start |
8057.08409375 |
transcript.pyannote[1550].end |
8061.18471875 |
transcript.pyannote[1551].speaker |
SPEAKER_01 |
transcript.pyannote[1551].start |
8061.65721875 |
transcript.pyannote[1551].end |
8062.68659375 |
transcript.pyannote[1552].speaker |
SPEAKER_01 |
transcript.pyannote[1552].start |
8063.42909375 |
transcript.pyannote[1552].end |
8066.90534375 |
transcript.pyannote[1553].speaker |
SPEAKER_01 |
transcript.pyannote[1553].start |
8067.25971875 |
transcript.pyannote[1553].end |
8067.91784375 |
transcript.pyannote[1554].speaker |
SPEAKER_01 |
transcript.pyannote[1554].start |
8068.67721875 |
transcript.pyannote[1554].end |
8069.13284375 |
transcript.pyannote[1555].speaker |
SPEAKER_01 |
transcript.pyannote[1555].start |
8069.57159375 |
transcript.pyannote[1555].end |
8070.85409375 |
transcript.pyannote[1556].speaker |
SPEAKER_01 |
transcript.pyannote[1556].start |
8071.83284375 |
transcript.pyannote[1556].end |
8077.77284375 |
transcript.pyannote[1557].speaker |
SPEAKER_01 |
transcript.pyannote[1557].start |
8078.46471875 |
transcript.pyannote[1557].end |
8081.99159375 |
transcript.pyannote[1558].speaker |
SPEAKER_01 |
transcript.pyannote[1558].start |
8083.03784375 |
transcript.pyannote[1558].end |
8085.55221875 |
transcript.pyannote[1559].speaker |
SPEAKER_01 |
transcript.pyannote[1559].start |
8087.13846875 |
transcript.pyannote[1559].end |
8090.39534375 |
transcript.pyannote[1560].speaker |
SPEAKER_01 |
transcript.pyannote[1560].start |
8091.00284375 |
transcript.pyannote[1560].end |
8092.04909375 |
transcript.pyannote[1561].speaker |
SPEAKER_01 |
transcript.pyannote[1561].start |
8092.92659375 |
transcript.pyannote[1561].end |
8094.49596875 |
transcript.pyannote[1562].speaker |
SPEAKER_01 |
transcript.pyannote[1562].start |
8095.23846875 |
transcript.pyannote[1562].end |
8098.34346875 |
transcript.pyannote[1563].speaker |
SPEAKER_01 |
transcript.pyannote[1563].start |
8099.11971875 |
transcript.pyannote[1563].end |
8102.14034375 |
transcript.pyannote[1564].speaker |
SPEAKER_01 |
transcript.pyannote[1564].start |
8102.57909375 |
transcript.pyannote[1564].end |
8105.54909375 |
transcript.pyannote[1565].speaker |
SPEAKER_01 |
transcript.pyannote[1565].start |
8105.97096875 |
transcript.pyannote[1565].end |
8109.81846875 |
transcript.pyannote[1566].speaker |
SPEAKER_01 |
transcript.pyannote[1566].start |
8111.21909375 |
transcript.pyannote[1566].end |
8111.77596875 |
transcript.pyannote[1567].speaker |
SPEAKER_01 |
transcript.pyannote[1567].start |
8112.43409375 |
transcript.pyannote[1567].end |
8113.88534375 |
transcript.pyannote[1568].speaker |
SPEAKER_01 |
transcript.pyannote[1568].start |
8114.77971875 |
transcript.pyannote[1568].end |
8117.37846875 |
transcript.pyannote[1569].speaker |
SPEAKER_01 |
transcript.pyannote[1569].start |
8118.13784375 |
transcript.pyannote[1569].end |
8119.11659375 |
transcript.pyannote[1570].speaker |
SPEAKER_01 |
transcript.pyannote[1570].start |
8119.55534375 |
transcript.pyannote[1570].end |
8132.88659375 |
transcript.pyannote[1571].speaker |
SPEAKER_00 |
transcript.pyannote[1571].start |
8119.57221875 |
transcript.pyannote[1571].end |
8120.63534375 |
transcript.pyannote[1572].speaker |
SPEAKER_01 |
transcript.pyannote[1572].start |
8133.52784375 |
transcript.pyannote[1572].end |
8136.31221875 |
transcript.pyannote[1573].speaker |
SPEAKER_01 |
transcript.pyannote[1573].start |
8137.20659375 |
transcript.pyannote[1573].end |
8137.67909375 |
transcript.pyannote[1574].speaker |
SPEAKER_01 |
transcript.pyannote[1574].start |
8138.97846875 |
transcript.pyannote[1574].end |
8140.66596875 |
transcript.pyannote[1575].speaker |
SPEAKER_01 |
transcript.pyannote[1575].start |
8141.42534375 |
transcript.pyannote[1575].end |
8142.87659375 |
transcript.pyannote[1576].speaker |
SPEAKER_01 |
transcript.pyannote[1576].start |
8143.63596875 |
transcript.pyannote[1576].end |
8144.95221875 |
transcript.pyannote[1577].speaker |
SPEAKER_01 |
transcript.pyannote[1577].start |
8146.03221875 |
transcript.pyannote[1577].end |
8149.18784375 |
transcript.pyannote[1578].speaker |
SPEAKER_01 |
transcript.pyannote[1578].start |
8149.76159375 |
transcript.pyannote[1578].end |
8150.65596875 |
transcript.pyannote[1579].speaker |
SPEAKER_01 |
transcript.pyannote[1579].start |
8151.29721875 |
transcript.pyannote[1579].end |
8153.23784375 |
transcript.pyannote[1580].speaker |
SPEAKER_01 |
transcript.pyannote[1580].start |
8153.77784375 |
transcript.pyannote[1580].end |
8164.44284375 |
transcript.pyannote[1581].speaker |
SPEAKER_01 |
transcript.pyannote[1581].start |
8164.96596875 |
transcript.pyannote[1581].end |
8167.53096875 |
transcript.pyannote[1582].speaker |
SPEAKER_01 |
transcript.pyannote[1582].start |
8168.10471875 |
transcript.pyannote[1582].end |
8177.30159375 |
transcript.pyannote[1583].speaker |
SPEAKER_01 |
transcript.pyannote[1583].start |
8177.72346875 |
transcript.pyannote[1583].end |
8178.41534375 |
transcript.pyannote[1584].speaker |
SPEAKER_01 |
transcript.pyannote[1584].start |
8178.90471875 |
transcript.pyannote[1584].end |
8180.06909375 |
transcript.pyannote[1585].speaker |
SPEAKER_01 |
transcript.pyannote[1585].start |
8180.76096875 |
transcript.pyannote[1585].end |
8182.29659375 |
transcript.pyannote[1586].speaker |
SPEAKER_01 |
transcript.pyannote[1586].start |
8183.29221875 |
transcript.pyannote[1586].end |
8187.71346875 |
transcript.pyannote[1587].speaker |
SPEAKER_01 |
transcript.pyannote[1587].start |
8187.93284375 |
transcript.pyannote[1587].end |
8189.51909375 |
transcript.pyannote[1588].speaker |
SPEAKER_01 |
transcript.pyannote[1588].start |
8189.99159375 |
transcript.pyannote[1588].end |
8198.29409375 |
transcript.pyannote[1589].speaker |
SPEAKER_01 |
transcript.pyannote[1589].start |
8198.95221875 |
transcript.pyannote[1589].end |
8200.77471875 |
transcript.pyannote[1590].speaker |
SPEAKER_01 |
transcript.pyannote[1590].start |
8201.16284375 |
transcript.pyannote[1590].end |
8205.68534375 |
transcript.pyannote[1591].speaker |
SPEAKER_01 |
transcript.pyannote[1591].start |
8206.57971875 |
transcript.pyannote[1591].end |
8207.10284375 |
transcript.pyannote[1592].speaker |
SPEAKER_01 |
transcript.pyannote[1592].start |
8207.55846875 |
transcript.pyannote[1592].end |
8208.11534375 |
transcript.pyannote[1593].speaker |
SPEAKER_01 |
transcript.pyannote[1593].start |
8208.70596875 |
transcript.pyannote[1593].end |
8211.45659375 |
transcript.pyannote[1594].speaker |
SPEAKER_01 |
transcript.pyannote[1594].start |
8212.16534375 |
transcript.pyannote[1594].end |
8214.15659375 |
transcript.pyannote[1595].speaker |
SPEAKER_01 |
transcript.pyannote[1595].start |
8214.47721875 |
transcript.pyannote[1595].end |
8215.94534375 |
transcript.pyannote[1596].speaker |
SPEAKER_01 |
transcript.pyannote[1596].start |
8216.24909375 |
transcript.pyannote[1596].end |
8219.38784375 |
transcript.pyannote[1597].speaker |
SPEAKER_01 |
transcript.pyannote[1597].start |
8219.82659375 |
transcript.pyannote[1597].end |
8222.12159375 |
transcript.pyannote[1598].speaker |
SPEAKER_01 |
transcript.pyannote[1598].start |
8222.61096875 |
transcript.pyannote[1598].end |
8225.91846875 |
transcript.pyannote[1599].speaker |
SPEAKER_01 |
transcript.pyannote[1599].start |
8226.40784375 |
transcript.pyannote[1599].end |
8229.58034375 |
transcript.pyannote[1600].speaker |
SPEAKER_01 |
transcript.pyannote[1600].start |
8231.80784375 |
transcript.pyannote[1600].end |
8232.95534375 |
transcript.pyannote[1601].speaker |
SPEAKER_07 |
transcript.pyannote[1601].start |
8232.78659375 |
transcript.pyannote[1601].end |
8233.98471875 |
transcript.pyannote[1602].speaker |
SPEAKER_07 |
transcript.pyannote[1602].start |
8235.18284375 |
transcript.pyannote[1602].end |
8235.57096875 |
transcript.pyannote[1603].speaker |
SPEAKER_07 |
transcript.pyannote[1603].start |
8236.24596875 |
transcript.pyannote[1603].end |
8239.78971875 |
transcript.pyannote[1604].speaker |
SPEAKER_18 |
transcript.pyannote[1604].start |
8242.87784375 |
transcript.pyannote[1604].end |
8243.38409375 |
transcript.pyannote[1605].speaker |
SPEAKER_18 |
transcript.pyannote[1605].start |
8243.48534375 |
transcript.pyannote[1605].end |
8245.29096875 |
transcript.pyannote[1606].speaker |
SPEAKER_07 |
transcript.pyannote[1606].start |
8246.18534375 |
transcript.pyannote[1606].end |
8247.51846875 |
transcript.pyannote[1607].speaker |
SPEAKER_07 |
transcript.pyannote[1607].start |
8249.86409375 |
transcript.pyannote[1607].end |
8250.60659375 |
transcript.pyannote[1608].speaker |
SPEAKER_07 |
transcript.pyannote[1608].start |
8251.39971875 |
transcript.pyannote[1608].end |
8255.53409375 |
transcript.pyannote[1609].speaker |
SPEAKER_07 |
transcript.pyannote[1609].start |
8258.18346875 |
transcript.pyannote[1609].end |
8259.58409375 |
transcript.pyannote[1610].speaker |
SPEAKER_07 |
transcript.pyannote[1610].start |
8259.68534375 |
transcript.pyannote[1610].end |
8261.55846875 |
transcript.pyannote[1611].speaker |
SPEAKER_18 |
transcript.pyannote[1611].start |
8262.26721875 |
transcript.pyannote[1611].end |
8276.96534375 |
transcript.pyannote[1612].speaker |
SPEAKER_18 |
transcript.pyannote[1612].start |
8277.20159375 |
transcript.pyannote[1612].end |
8283.22596875 |
transcript.pyannote[1613].speaker |
SPEAKER_18 |
transcript.pyannote[1613].start |
8283.81659375 |
transcript.pyannote[1613].end |
8285.75721875 |
transcript.pyannote[1614].speaker |
SPEAKER_18 |
transcript.pyannote[1614].start |
8286.48284375 |
transcript.pyannote[1614].end |
8287.96784375 |
transcript.pyannote[1615].speaker |
SPEAKER_10 |
transcript.pyannote[1615].start |
8287.96784375 |
transcript.pyannote[1615].end |
8300.65784375 |
transcript.pyannote[1616].speaker |
SPEAKER_10 |
transcript.pyannote[1616].start |
8300.92784375 |
transcript.pyannote[1616].end |
8305.31534375 |
transcript.pyannote[1617].speaker |
SPEAKER_10 |
transcript.pyannote[1617].start |
8305.85534375 |
transcript.pyannote[1617].end |
8311.57596875 |
transcript.pyannote[1618].speaker |
SPEAKER_10 |
transcript.pyannote[1618].start |
8311.84596875 |
transcript.pyannote[1618].end |
8313.82034375 |
transcript.pyannote[1619].speaker |
SPEAKER_10 |
transcript.pyannote[1619].start |
8314.15784375 |
transcript.pyannote[1619].end |
8317.39784375 |
transcript.pyannote[1620].speaker |
SPEAKER_10 |
transcript.pyannote[1620].start |
8317.61721875 |
transcript.pyannote[1620].end |
8328.97409375 |
transcript.pyannote[1621].speaker |
SPEAKER_18 |
transcript.pyannote[1621].start |
8327.91096875 |
transcript.pyannote[1621].end |
8331.38721875 |
transcript.pyannote[1622].speaker |
SPEAKER_10 |
transcript.pyannote[1622].start |
8330.27346875 |
transcript.pyannote[1622].end |
8344.75221875 |
transcript.pyannote[1623].speaker |
SPEAKER_18 |
transcript.pyannote[1623].start |
8336.34846875 |
transcript.pyannote[1623].end |
8337.37784375 |
transcript.pyannote[1624].speaker |
SPEAKER_10 |
transcript.pyannote[1624].start |
8344.97159375 |
transcript.pyannote[1624].end |
8354.53971875 |
transcript.pyannote[1625].speaker |
SPEAKER_18 |
transcript.pyannote[1625].start |
8354.38784375 |
transcript.pyannote[1625].end |
8370.18284375 |
transcript.pyannote[1626].speaker |
SPEAKER_18 |
transcript.pyannote[1626].start |
8370.53721875 |
transcript.pyannote[1626].end |
8404.48971875 |
transcript.pyannote[1627].speaker |
SPEAKER_18 |
transcript.pyannote[1627].start |
8404.87784375 |
transcript.pyannote[1627].end |
8409.26534375 |
transcript.pyannote[1628].speaker |
SPEAKER_18 |
transcript.pyannote[1628].start |
8409.45096875 |
transcript.pyannote[1628].end |
8411.74596875 |
transcript.pyannote[1629].speaker |
SPEAKER_18 |
transcript.pyannote[1629].start |
8411.94846875 |
transcript.pyannote[1629].end |
8416.57221875 |
transcript.pyannote[1630].speaker |
SPEAKER_18 |
transcript.pyannote[1630].start |
8417.16284375 |
transcript.pyannote[1630].end |
8418.07409375 |
transcript.pyannote[1631].speaker |
SPEAKER_18 |
transcript.pyannote[1631].start |
8418.34409375 |
transcript.pyannote[1631].end |
8424.13221875 |
transcript.pyannote[1632].speaker |
SPEAKER_10 |
transcript.pyannote[1632].start |
8424.90846875 |
transcript.pyannote[1632].end |
8445.98534375 |
transcript.pyannote[1633].speaker |
SPEAKER_18 |
transcript.pyannote[1633].start |
8445.46221875 |
transcript.pyannote[1633].end |
8465.45909375 |
transcript.pyannote[1634].speaker |
SPEAKER_10 |
transcript.pyannote[1634].start |
8450.71034375 |
transcript.pyannote[1634].end |
8451.21659375 |
transcript.pyannote[1635].speaker |
SPEAKER_13 |
transcript.pyannote[1635].start |
8459.90721875 |
transcript.pyannote[1635].end |
8460.16034375 |
transcript.pyannote[1636].speaker |
SPEAKER_00 |
transcript.pyannote[1636].start |
8460.16034375 |
transcript.pyannote[1636].end |
8460.19409375 |
transcript.pyannote[1637].speaker |
SPEAKER_18 |
transcript.pyannote[1637].start |
8465.61096875 |
transcript.pyannote[1637].end |
8471.97284375 |
transcript.pyannote[1638].speaker |
SPEAKER_10 |
transcript.pyannote[1638].start |
8470.70721875 |
transcript.pyannote[1638].end |
8472.22596875 |
transcript.pyannote[1639].speaker |
SPEAKER_18 |
transcript.pyannote[1639].start |
8472.22596875 |
transcript.pyannote[1639].end |
8477.38971875 |
transcript.pyannote[1640].speaker |
SPEAKER_10 |
transcript.pyannote[1640].start |
8473.15409375 |
transcript.pyannote[1640].end |
8473.17096875 |
transcript.pyannote[1641].speaker |
SPEAKER_10 |
transcript.pyannote[1641].start |
8473.82909375 |
transcript.pyannote[1641].end |
8474.25096875 |
transcript.pyannote[1642].speaker |
SPEAKER_10 |
transcript.pyannote[1642].start |
8475.87096875 |
transcript.pyannote[1642].end |
8476.57971875 |
transcript.pyannote[1643].speaker |
SPEAKER_18 |
transcript.pyannote[1643].start |
8477.94659375 |
transcript.pyannote[1643].end |
8485.03409375 |
transcript.pyannote[1644].speaker |
SPEAKER_18 |
transcript.pyannote[1644].start |
8485.37159375 |
transcript.pyannote[1644].end |
8490.97409375 |
transcript.pyannote[1645].speaker |
SPEAKER_10 |
transcript.pyannote[1645].start |
8490.97409375 |
transcript.pyannote[1645].end |
8491.15971875 |
transcript.pyannote[1646].speaker |
SPEAKER_18 |
transcript.pyannote[1646].start |
8491.15971875 |
transcript.pyannote[1646].end |
8491.21034375 |
transcript.pyannote[1647].speaker |
SPEAKER_10 |
transcript.pyannote[1647].start |
8491.21034375 |
transcript.pyannote[1647].end |
8509.82346875 |
transcript.pyannote[1648].speaker |
SPEAKER_10 |
transcript.pyannote[1648].start |
8510.14409375 |
transcript.pyannote[1648].end |
8521.93971875 |
transcript.pyannote[1649].speaker |
SPEAKER_18 |
transcript.pyannote[1649].start |
8521.46721875 |
transcript.pyannote[1649].end |
8524.97721875 |
transcript.pyannote[1650].speaker |
SPEAKER_10 |
transcript.pyannote[1650].start |
8524.97721875 |
transcript.pyannote[1650].end |
8525.11221875 |
transcript.pyannote[1651].speaker |
SPEAKER_10 |
transcript.pyannote[1651].start |
8525.34846875 |
transcript.pyannote[1651].end |
8534.84909375 |
transcript.pyannote[1652].speaker |
SPEAKER_18 |
transcript.pyannote[1652].start |
8533.93784375 |
transcript.pyannote[1652].end |
8536.36784375 |
transcript.pyannote[1653].speaker |
SPEAKER_10 |
transcript.pyannote[1653].start |
8535.96284375 |
transcript.pyannote[1653].end |
8543.25284375 |
transcript.pyannote[1654].speaker |
SPEAKER_18 |
transcript.pyannote[1654].start |
8536.55346875 |
transcript.pyannote[1654].end |
8536.78971875 |
transcript.pyannote[1655].speaker |
SPEAKER_18 |
transcript.pyannote[1655].start |
8542.57784375 |
transcript.pyannote[1655].end |
8548.97346875 |
transcript.pyannote[1656].speaker |
SPEAKER_10 |
transcript.pyannote[1656].start |
8548.97346875 |
transcript.pyannote[1656].end |
8549.02409375 |
transcript.pyannote[1657].speaker |
SPEAKER_18 |
transcript.pyannote[1657].start |
8549.02409375 |
transcript.pyannote[1657].end |
8551.31909375 |
transcript.pyannote[1658].speaker |
SPEAKER_00 |
transcript.pyannote[1658].start |
8550.01971875 |
transcript.pyannote[1658].end |
8550.66096875 |
transcript.pyannote[1659].speaker |
SPEAKER_18 |
transcript.pyannote[1659].start |
8552.16284375 |
transcript.pyannote[1659].end |
8553.14159375 |
transcript.pyannote[1660].speaker |
SPEAKER_00 |
transcript.pyannote[1660].start |
8553.25971875 |
transcript.pyannote[1660].end |
8554.32284375 |
transcript.pyannote[1661].speaker |
SPEAKER_00 |
transcript.pyannote[1661].start |
8554.50846875 |
transcript.pyannote[1661].end |
8554.86284375 |
transcript.pyannote[1662].speaker |
SPEAKER_18 |
transcript.pyannote[1662].start |
8554.54221875 |
transcript.pyannote[1662].end |
8555.70659375 |
transcript.pyannote[1663].speaker |
SPEAKER_00 |
transcript.pyannote[1663].start |
8555.70659375 |
transcript.pyannote[1663].end |
8555.99346875 |
transcript.pyannote[1664].speaker |
SPEAKER_18 |
transcript.pyannote[1664].start |
8555.95971875 |
transcript.pyannote[1664].end |
8560.98846875 |
transcript.pyannote[1665].speaker |
SPEAKER_00 |
transcript.pyannote[1665].start |
8556.01034375 |
transcript.pyannote[1665].end |
8556.02721875 |
transcript.pyannote[1666].speaker |
SPEAKER_18 |
transcript.pyannote[1666].start |
8562.01784375 |
transcript.pyannote[1666].end |
8562.10221875 |
transcript.pyannote[1667].speaker |
SPEAKER_00 |
transcript.pyannote[1667].start |
8562.10221875 |
transcript.pyannote[1667].end |
8562.25409375 |
transcript.pyannote[1668].speaker |
SPEAKER_18 |
transcript.pyannote[1668].start |
8562.25409375 |
transcript.pyannote[1668].end |
8562.96284375 |
transcript.pyannote[1669].speaker |
SPEAKER_00 |
transcript.pyannote[1669].start |
8562.96284375 |
transcript.pyannote[1669].end |
8563.03034375 |
transcript.pyannote[1670].speaker |
SPEAKER_18 |
transcript.pyannote[1670].start |
8563.03034375 |
transcript.pyannote[1670].end |
8563.77284375 |
transcript.pyannote[1671].speaker |
SPEAKER_00 |
transcript.pyannote[1671].start |
8563.77284375 |
transcript.pyannote[1671].end |
8563.78971875 |
transcript.pyannote[1672].speaker |
SPEAKER_18 |
transcript.pyannote[1672].start |
8563.78971875 |
transcript.pyannote[1672].end |
8563.80659375 |
transcript.pyannote[1673].speaker |
SPEAKER_00 |
transcript.pyannote[1673].start |
8563.80659375 |
transcript.pyannote[1673].end |
8563.82346875 |
transcript.pyannote[1674].speaker |
SPEAKER_18 |
transcript.pyannote[1674].start |
8563.82346875 |
transcript.pyannote[1674].end |
8563.84034375 |
transcript.pyannote[1675].speaker |
SPEAKER_00 |
transcript.pyannote[1675].start |
8563.84034375 |
transcript.pyannote[1675].end |
8563.95846875 |
transcript.pyannote[1676].speaker |
SPEAKER_18 |
transcript.pyannote[1676].start |
8563.95846875 |
transcript.pyannote[1676].end |
8563.97534375 |
transcript.pyannote[1677].speaker |
SPEAKER_00 |
transcript.pyannote[1677].start |
8563.97534375 |
transcript.pyannote[1677].end |
8575.77096875 |
transcript.pyannote[1678].speaker |
SPEAKER_00 |
transcript.pyannote[1678].start |
8576.39534375 |
transcript.pyannote[1678].end |
8577.44159375 |
transcript.pyannote[1679].speaker |
SPEAKER_18 |
transcript.pyannote[1679].start |
8577.44159375 |
transcript.pyannote[1679].end |
8577.76221875 |
transcript.pyannote[1680].speaker |
SPEAKER_00 |
transcript.pyannote[1680].start |
8577.50909375 |
transcript.pyannote[1680].end |
8577.55971875 |
transcript.pyannote[1681].speaker |
SPEAKER_13 |
transcript.pyannote[1681].start |
8577.55971875 |
transcript.pyannote[1681].end |
8578.26846875 |
transcript.pyannote[1682].speaker |
SPEAKER_00 |
transcript.pyannote[1682].start |
8577.76221875 |
transcript.pyannote[1682].end |
8577.81284375 |
transcript.pyannote[1683].speaker |
SPEAKER_00 |
transcript.pyannote[1683].start |
8578.08284375 |
transcript.pyannote[1683].end |
8578.09971875 |
transcript.pyannote[1684].speaker |
SPEAKER_18 |
transcript.pyannote[1684].start |
8578.09971875 |
transcript.pyannote[1684].end |
8578.30221875 |
transcript.pyannote[1685].speaker |
SPEAKER_18 |
transcript.pyannote[1685].start |
8579.06159375 |
transcript.pyannote[1685].end |
8601.65721875 |
transcript.pyannote[1686].speaker |
SPEAKER_18 |
transcript.pyannote[1686].start |
8602.38284375 |
transcript.pyannote[1686].end |
8607.59721875 |
transcript.pyannote[1687].speaker |
SPEAKER_18 |
transcript.pyannote[1687].start |
8607.69846875 |
transcript.pyannote[1687].end |
8608.76159375 |
transcript.pyannote[1688].speaker |
SPEAKER_18 |
transcript.pyannote[1688].start |
8608.98096875 |
transcript.pyannote[1688].end |
8646.15659375 |
transcript.pyannote[1689].speaker |
SPEAKER_10 |
transcript.pyannote[1689].start |
8646.15659375 |
transcript.pyannote[1689].end |
8680.07534375 |
transcript.pyannote[1690].speaker |
SPEAKER_10 |
transcript.pyannote[1690].start |
8680.36221875 |
transcript.pyannote[1690].end |
8685.55971875 |
transcript.pyannote[1691].speaker |
SPEAKER_10 |
transcript.pyannote[1691].start |
8686.15034375 |
transcript.pyannote[1691].end |
8695.58346875 |
transcript.pyannote[1692].speaker |
SPEAKER_18 |
transcript.pyannote[1692].start |
8694.62159375 |
transcript.pyannote[1692].end |
8704.52721875 |
transcript.pyannote[1693].speaker |
SPEAKER_10 |
transcript.pyannote[1693].start |
8698.73909375 |
transcript.pyannote[1693].end |
8699.26221875 |
transcript.pyannote[1694].speaker |
SPEAKER_10 |
transcript.pyannote[1694].start |
8701.65846875 |
transcript.pyannote[1694].end |
8703.43034375 |
transcript.pyannote[1695].speaker |
SPEAKER_18 |
transcript.pyannote[1695].start |
8704.83096875 |
transcript.pyannote[1695].end |
8718.14534375 |
transcript.pyannote[1696].speaker |
SPEAKER_10 |
transcript.pyannote[1696].start |
8718.14534375 |
transcript.pyannote[1696].end |
8730.93659375 |
transcript.pyannote[1697].speaker |
SPEAKER_18 |
transcript.pyannote[1697].start |
8730.46409375 |
transcript.pyannote[1697].end |
8741.11221875 |
transcript.pyannote[1698].speaker |
SPEAKER_10 |
transcript.pyannote[1698].start |
8741.11221875 |
transcript.pyannote[1698].end |
8759.84346875 |
transcript.pyannote[1699].speaker |
SPEAKER_10 |
transcript.pyannote[1699].start |
8760.11346875 |
transcript.pyannote[1699].end |
8762.76284375 |
transcript.pyannote[1700].speaker |
SPEAKER_10 |
transcript.pyannote[1700].start |
8763.18471875 |
transcript.pyannote[1700].end |
8768.06159375 |
transcript.pyannote[1701].speaker |
SPEAKER_10 |
transcript.pyannote[1701].start |
8768.31471875 |
transcript.pyannote[1701].end |
8772.16221875 |
transcript.pyannote[1702].speaker |
SPEAKER_18 |
transcript.pyannote[1702].start |
8772.16221875 |
transcript.pyannote[1702].end |
8772.21284375 |
transcript.pyannote[1703].speaker |
SPEAKER_10 |
transcript.pyannote[1703].start |
8773.19159375 |
transcript.pyannote[1703].end |
8773.24221875 |
transcript.pyannote[1704].speaker |
SPEAKER_18 |
transcript.pyannote[1704].start |
8773.24221875 |
transcript.pyannote[1704].end |
8779.90784375 |
transcript.pyannote[1705].speaker |
SPEAKER_18 |
transcript.pyannote[1705].start |
8780.14409375 |
transcript.pyannote[1705].end |
8786.35409375 |
transcript.pyannote[1706].speaker |
SPEAKER_10 |
transcript.pyannote[1706].start |
8786.35409375 |
transcript.pyannote[1706].end |
8786.60721875 |
transcript.pyannote[1707].speaker |
SPEAKER_18 |
transcript.pyannote[1707].start |
8786.60721875 |
transcript.pyannote[1707].end |
8786.65784375 |
transcript.pyannote[1708].speaker |
SPEAKER_10 |
transcript.pyannote[1708].start |
8786.65784375 |
transcript.pyannote[1708].end |
8804.69721875 |
transcript.pyannote[1709].speaker |
SPEAKER_18 |
transcript.pyannote[1709].start |
8804.69721875 |
transcript.pyannote[1709].end |
8807.38034375 |
transcript.pyannote[1710].speaker |
SPEAKER_10 |
transcript.pyannote[1710].start |
8806.23284375 |
transcript.pyannote[1710].end |
8808.64596875 |
transcript.pyannote[1711].speaker |
SPEAKER_18 |
transcript.pyannote[1711].start |
8808.27471875 |
transcript.pyannote[1711].end |
8816.12159375 |
transcript.pyannote[1712].speaker |
SPEAKER_10 |
transcript.pyannote[1712].start |
8811.93659375 |
transcript.pyannote[1712].end |
8813.62409375 |
transcript.pyannote[1713].speaker |
SPEAKER_10 |
transcript.pyannote[1713].start |
8814.87284375 |
transcript.pyannote[1713].end |
8853.46596875 |
transcript.pyannote[1714].speaker |
SPEAKER_18 |
transcript.pyannote[1714].start |
8849.09534375 |
transcript.pyannote[1714].end |
8849.60159375 |
transcript.pyannote[1715].speaker |
SPEAKER_18 |
transcript.pyannote[1715].start |
8850.24284375 |
transcript.pyannote[1715].end |
8850.98534375 |
transcript.pyannote[1716].speaker |
SPEAKER_18 |
transcript.pyannote[1716].start |
8853.56721875 |
transcript.pyannote[1716].end |
8887.90784375 |
transcript.pyannote[1717].speaker |
SPEAKER_10 |
transcript.pyannote[1717].start |
8865.04221875 |
transcript.pyannote[1717].end |
8865.75096875 |
transcript.pyannote[1718].speaker |
SPEAKER_00 |
transcript.pyannote[1718].start |
8876.26409375 |
transcript.pyannote[1718].end |
8876.34846875 |
transcript.pyannote[1719].speaker |
SPEAKER_13 |
transcript.pyannote[1719].start |
8876.34846875 |
transcript.pyannote[1719].end |
8876.39909375 |
transcript.pyannote[1720].speaker |
SPEAKER_00 |
transcript.pyannote[1720].start |
8876.39909375 |
transcript.pyannote[1720].end |
8876.46659375 |
transcript.pyannote[1721].speaker |
SPEAKER_18 |
transcript.pyannote[1721].start |
8887.97534375 |
transcript.pyannote[1721].end |
8888.54909375 |
transcript.pyannote[1722].speaker |
SPEAKER_18 |
transcript.pyannote[1722].start |
8888.86971875 |
transcript.pyannote[1722].end |
8889.98346875 |
transcript.pyannote[1723].speaker |
SPEAKER_07 |
transcript.pyannote[1723].start |
8890.16909375 |
transcript.pyannote[1723].end |
8890.91159375 |
transcript.pyannote[1724].speaker |
SPEAKER_07 |
transcript.pyannote[1724].start |
8894.50596875 |
transcript.pyannote[1724].end |
8897.76284375 |
transcript.pyannote[1725].speaker |
SPEAKER_05 |
transcript.pyannote[1725].start |
8901.55971875 |
transcript.pyannote[1725].end |
8906.84159375 |
transcript.pyannote[1726].speaker |
SPEAKER_05 |
transcript.pyannote[1726].start |
8909.67659375 |
transcript.pyannote[1726].end |
8910.03096875 |
transcript.pyannote[1727].speaker |
SPEAKER_13 |
transcript.pyannote[1727].start |
8911.58346875 |
transcript.pyannote[1727].end |
8911.98846875 |
transcript.pyannote[1728].speaker |
SPEAKER_05 |
transcript.pyannote[1728].start |
8911.98846875 |
transcript.pyannote[1728].end |
8945.87346875 |
transcript.pyannote[1729].speaker |
SPEAKER_05 |
transcript.pyannote[1729].start |
8946.44721875 |
transcript.pyannote[1729].end |
8955.34034375 |
transcript.pyannote[1730].speaker |
SPEAKER_05 |
transcript.pyannote[1730].start |
8955.52596875 |
transcript.pyannote[1730].end |
8962.90034375 |
transcript.pyannote[1731].speaker |
SPEAKER_05 |
transcript.pyannote[1731].start |
8963.52471875 |
transcript.pyannote[1731].end |
8969.34659375 |
transcript.pyannote[1732].speaker |
SPEAKER_05 |
transcript.pyannote[1732].start |
8969.75159375 |
transcript.pyannote[1732].end |
8973.29534375 |
transcript.pyannote[1733].speaker |
SPEAKER_10 |
transcript.pyannote[1733].start |
8976.60284375 |
transcript.pyannote[1733].end |
8985.47909375 |
transcript.pyannote[1734].speaker |
SPEAKER_05 |
transcript.pyannote[1734].start |
8984.55096875 |
transcript.pyannote[1734].end |
8984.78721875 |
transcript.pyannote[1735].speaker |
SPEAKER_05 |
transcript.pyannote[1735].start |
8985.47909375 |
transcript.pyannote[1735].end |
8991.84096875 |
transcript.pyannote[1736].speaker |
SPEAKER_00 |
transcript.pyannote[1736].start |
8990.22096875 |
transcript.pyannote[1736].end |
8990.77784375 |
transcript.pyannote[1737].speaker |
SPEAKER_10 |
transcript.pyannote[1737].start |
8990.77784375 |
transcript.pyannote[1737].end |
8990.79471875 |
transcript.pyannote[1738].speaker |
SPEAKER_00 |
transcript.pyannote[1738].start |
8991.23346875 |
transcript.pyannote[1738].end |
8992.29659375 |
transcript.pyannote[1739].speaker |
SPEAKER_00 |
transcript.pyannote[1739].start |
8993.07284375 |
transcript.pyannote[1739].end |
8993.08971875 |
transcript.pyannote[1740].speaker |
SPEAKER_05 |
transcript.pyannote[1740].start |
8993.08971875 |
transcript.pyannote[1740].end |
8993.10659375 |
transcript.pyannote[1741].speaker |
SPEAKER_00 |
transcript.pyannote[1741].start |
8993.10659375 |
transcript.pyannote[1741].end |
8993.74784375 |
transcript.pyannote[1742].speaker |
SPEAKER_05 |
transcript.pyannote[1742].start |
8993.12346875 |
transcript.pyannote[1742].end |
8994.20346875 |
transcript.pyannote[1743].speaker |
SPEAKER_00 |
transcript.pyannote[1743].start |
8994.40596875 |
transcript.pyannote[1743].end |
8998.94534375 |
transcript.pyannote[1744].speaker |
SPEAKER_05 |
transcript.pyannote[1744].start |
8999.09721875 |
transcript.pyannote[1744].end |
9008.26034375 |
transcript.pyannote[1745].speaker |
SPEAKER_05 |
transcript.pyannote[1745].start |
9008.56409375 |
transcript.pyannote[1745].end |
9027.61596875 |
transcript.pyannote[1746].speaker |
SPEAKER_05 |
transcript.pyannote[1746].start |
9027.70034375 |
transcript.pyannote[1746].end |
9027.71721875 |
transcript.pyannote[1747].speaker |
SPEAKER_05 |
transcript.pyannote[1747].start |
9027.75096875 |
transcript.pyannote[1747].end |
9082.84784375 |
transcript.pyannote[1748].speaker |
SPEAKER_13 |
transcript.pyannote[1748].start |
9052.05096875 |
transcript.pyannote[1748].end |
9052.96221875 |
transcript.pyannote[1749].speaker |
SPEAKER_00 |
transcript.pyannote[1749].start |
9052.96221875 |
transcript.pyannote[1749].end |
9052.97909375 |
transcript.pyannote[1750].speaker |
SPEAKER_04 |
transcript.pyannote[1750].start |
9058.69971875 |
transcript.pyannote[1750].end |
9059.17221875 |
transcript.pyannote[1751].speaker |
SPEAKER_05 |
transcript.pyannote[1751].start |
9083.11784375 |
transcript.pyannote[1751].end |
9096.60096875 |
transcript.pyannote[1752].speaker |
SPEAKER_10 |
transcript.pyannote[1752].start |
9097.47846875 |
transcript.pyannote[1752].end |
9106.32096875 |
transcript.pyannote[1753].speaker |
SPEAKER_10 |
transcript.pyannote[1753].start |
9106.48971875 |
transcript.pyannote[1753].end |
9114.67409375 |
transcript.pyannote[1754].speaker |
SPEAKER_10 |
transcript.pyannote[1754].start |
9114.82596875 |
transcript.pyannote[1754].end |
9123.97221875 |
transcript.pyannote[1755].speaker |
SPEAKER_05 |
transcript.pyannote[1755].start |
9124.02284375 |
transcript.pyannote[1755].end |
9145.57221875 |
transcript.pyannote[1756].speaker |
SPEAKER_10 |
transcript.pyannote[1756].start |
9126.53721875 |
transcript.pyannote[1756].end |
9126.80721875 |
transcript.pyannote[1757].speaker |
SPEAKER_10 |
transcript.pyannote[1757].start |
9127.88721875 |
transcript.pyannote[1757].end |
9128.47784375 |
transcript.pyannote[1758].speaker |
SPEAKER_10 |
transcript.pyannote[1758].start |
9130.87409375 |
transcript.pyannote[1758].end |
9131.27909375 |
transcript.pyannote[1759].speaker |
SPEAKER_13 |
transcript.pyannote[1759].start |
9131.27909375 |
transcript.pyannote[1759].end |
9131.36346875 |
transcript.pyannote[1760].speaker |
SPEAKER_10 |
transcript.pyannote[1760].start |
9131.36346875 |
transcript.pyannote[1760].end |
9131.39721875 |
transcript.pyannote[1761].speaker |
SPEAKER_05 |
transcript.pyannote[1761].start |
9145.82534375 |
transcript.pyannote[1761].end |
9158.44784375 |
transcript.pyannote[1762].speaker |
SPEAKER_05 |
transcript.pyannote[1762].start |
9158.98784375 |
transcript.pyannote[1762].end |
9160.20284375 |
transcript.pyannote[1763].speaker |
SPEAKER_05 |
transcript.pyannote[1763].start |
9160.45596875 |
transcript.pyannote[1763].end |
9162.14346875 |
transcript.pyannote[1764].speaker |
SPEAKER_05 |
transcript.pyannote[1764].start |
9162.26159375 |
transcript.pyannote[1764].end |
9165.83909375 |
transcript.pyannote[1765].speaker |
SPEAKER_05 |
transcript.pyannote[1765].start |
9166.05846875 |
transcript.pyannote[1765].end |
9167.05409375 |
transcript.pyannote[1766].speaker |
SPEAKER_05 |
transcript.pyannote[1766].start |
9167.39159375 |
transcript.pyannote[1766].end |
9180.50346875 |
transcript.pyannote[1767].speaker |
SPEAKER_05 |
transcript.pyannote[1767].start |
9180.97596875 |
transcript.pyannote[1767].end |
9190.45971875 |
transcript.pyannote[1768].speaker |
SPEAKER_05 |
transcript.pyannote[1768].start |
9190.91534375 |
transcript.pyannote[1768].end |
9229.77846875 |
transcript.pyannote[1769].speaker |
SPEAKER_05 |
transcript.pyannote[1769].start |
9229.86284375 |
transcript.pyannote[1769].end |
9229.89659375 |
transcript.pyannote[1770].speaker |
SPEAKER_10 |
transcript.pyannote[1770].start |
9229.89659375 |
transcript.pyannote[1770].end |
9229.99784375 |
transcript.pyannote[1771].speaker |
SPEAKER_05 |
transcript.pyannote[1771].start |
9229.99784375 |
transcript.pyannote[1771].end |
9230.03159375 |
transcript.pyannote[1772].speaker |
SPEAKER_10 |
transcript.pyannote[1772].start |
9230.03159375 |
transcript.pyannote[1772].end |
9230.08221875 |
transcript.pyannote[1773].speaker |
SPEAKER_10 |
transcript.pyannote[1773].start |
9230.21721875 |
transcript.pyannote[1773].end |
9254.55096875 |
transcript.pyannote[1774].speaker |
SPEAKER_00 |
transcript.pyannote[1774].start |
9250.24784375 |
transcript.pyannote[1774].end |
9250.34909375 |
transcript.pyannote[1775].speaker |
SPEAKER_13 |
transcript.pyannote[1775].start |
9250.34909375 |
transcript.pyannote[1775].end |
9250.48409375 |
transcript.pyannote[1776].speaker |
SPEAKER_00 |
transcript.pyannote[1776].start |
9250.48409375 |
transcript.pyannote[1776].end |
9250.58534375 |
transcript.pyannote[1777].speaker |
SPEAKER_10 |
transcript.pyannote[1777].start |
9254.78721875 |
transcript.pyannote[1777].end |
9262.33034375 |
transcript.pyannote[1778].speaker |
SPEAKER_10 |
transcript.pyannote[1778].start |
9262.49909375 |
transcript.pyannote[1778].end |
9265.84034375 |
transcript.pyannote[1779].speaker |
SPEAKER_05 |
transcript.pyannote[1779].start |
9265.84034375 |
transcript.pyannote[1779].end |
9266.05971875 |
transcript.pyannote[1780].speaker |
SPEAKER_05 |
transcript.pyannote[1780].start |
9266.14409375 |
transcript.pyannote[1780].end |
9272.26971875 |
transcript.pyannote[1781].speaker |
SPEAKER_10 |
transcript.pyannote[1781].start |
9268.65846875 |
transcript.pyannote[1781].end |
9268.96221875 |
transcript.pyannote[1782].speaker |
SPEAKER_13 |
transcript.pyannote[1782].start |
9272.11784375 |
transcript.pyannote[1782].end |
9272.52284375 |
transcript.pyannote[1783].speaker |
SPEAKER_05 |
transcript.pyannote[1783].start |
9272.52284375 |
transcript.pyannote[1783].end |
9273.61971875 |
transcript.pyannote[1784].speaker |
SPEAKER_05 |
transcript.pyannote[1784].start |
9273.88971875 |
transcript.pyannote[1784].end |
9275.56034375 |
transcript.pyannote[1785].speaker |
SPEAKER_05 |
transcript.pyannote[1785].start |
9275.79659375 |
transcript.pyannote[1785].end |
9276.94409375 |
transcript.pyannote[1786].speaker |
SPEAKER_05 |
transcript.pyannote[1786].start |
9277.41659375 |
transcript.pyannote[1786].end |
9279.96471875 |
transcript.pyannote[1787].speaker |
SPEAKER_07 |
transcript.pyannote[1787].start |
9278.49659375 |
transcript.pyannote[1787].end |
9278.53034375 |
transcript.pyannote[1788].speaker |
SPEAKER_13 |
transcript.pyannote[1788].start |
9278.53034375 |
transcript.pyannote[1788].end |
9279.03659375 |
transcript.pyannote[1789].speaker |
SPEAKER_10 |
transcript.pyannote[1789].start |
9279.03659375 |
transcript.pyannote[1789].end |
9279.32346875 |
transcript.pyannote[1790].speaker |
SPEAKER_07 |
transcript.pyannote[1790].start |
9279.32346875 |
transcript.pyannote[1790].end |
9280.40346875 |
transcript.pyannote[1791].speaker |
SPEAKER_10 |
transcript.pyannote[1791].start |
9279.96471875 |
transcript.pyannote[1791].end |
9280.47096875 |
transcript.pyannote[1792].speaker |
SPEAKER_13 |
transcript.pyannote[1792].start |
9280.40346875 |
transcript.pyannote[1792].end |
9280.43721875 |
transcript.pyannote[1793].speaker |
SPEAKER_07 |
transcript.pyannote[1793].start |
9280.94346875 |
transcript.pyannote[1793].end |
9283.59284375 |
transcript.pyannote[1794].speaker |
SPEAKER_07 |
transcript.pyannote[1794].start |
9283.76159375 |
transcript.pyannote[1794].end |
9285.24659375 |
transcript.pyannote[1795].speaker |
SPEAKER_07 |
transcript.pyannote[1795].start |
9285.58409375 |
transcript.pyannote[1795].end |
9293.46471875 |
transcript.pyannote[1796].speaker |
SPEAKER_07 |
transcript.pyannote[1796].start |
9294.39284375 |
transcript.pyannote[1796].end |
9296.18159375 |
transcript.pyannote[1797].speaker |
SPEAKER_07 |
transcript.pyannote[1797].start |
9296.50221875 |
transcript.pyannote[1797].end |
9297.64971875 |
transcript.pyannote[1798].speaker |
SPEAKER_07 |
transcript.pyannote[1798].start |
9297.90284375 |
transcript.pyannote[1798].end |
9298.54409375 |
transcript.pyannote[1799].speaker |
SPEAKER_07 |
transcript.pyannote[1799].start |
9298.62846875 |
transcript.pyannote[1799].end |
9300.70409375 |
transcript.pyannote[1800].speaker |
SPEAKER_07 |
transcript.pyannote[1800].start |
9301.05846875 |
transcript.pyannote[1800].end |
9301.56471875 |
transcript.pyannote[1801].speaker |
SPEAKER_17 |
transcript.pyannote[1801].start |
9306.05346875 |
transcript.pyannote[1801].end |
9307.21784375 |
transcript.pyannote[1802].speaker |
SPEAKER_17 |
transcript.pyannote[1802].start |
9308.66909375 |
transcript.pyannote[1802].end |
9309.10784375 |
transcript.pyannote[1803].speaker |
SPEAKER_07 |
transcript.pyannote[1803].start |
9309.88409375 |
transcript.pyannote[1803].end |
9310.77846875 |
transcript.pyannote[1804].speaker |
SPEAKER_07 |
transcript.pyannote[1804].start |
9310.96409375 |
transcript.pyannote[1804].end |
9311.14971875 |
transcript.pyannote[1805].speaker |
SPEAKER_17 |
transcript.pyannote[1805].start |
9311.67284375 |
transcript.pyannote[1805].end |
9314.71034375 |
transcript.pyannote[1806].speaker |
SPEAKER_17 |
transcript.pyannote[1806].start |
9315.16596875 |
transcript.pyannote[1806].end |
9315.77346875 |
transcript.pyannote[1807].speaker |
SPEAKER_07 |
transcript.pyannote[1807].start |
9316.26284375 |
transcript.pyannote[1807].end |
9317.29221875 |
transcript.pyannote[1808].speaker |
SPEAKER_17 |
transcript.pyannote[1808].start |
9323.29971875 |
transcript.pyannote[1808].end |
9323.77221875 |
transcript.pyannote[1809].speaker |
SPEAKER_17 |
transcript.pyannote[1809].start |
9324.44721875 |
transcript.pyannote[1809].end |
9325.32471875 |
transcript.pyannote[1810].speaker |
SPEAKER_17 |
transcript.pyannote[1810].start |
9325.91534375 |
transcript.pyannote[1810].end |
9326.50596875 |
transcript.pyannote[1811].speaker |
SPEAKER_17 |
transcript.pyannote[1811].start |
9327.41721875 |
transcript.pyannote[1811].end |
9330.30284375 |
transcript.pyannote[1812].speaker |
SPEAKER_17 |
transcript.pyannote[1812].start |
9330.77534375 |
transcript.pyannote[1812].end |
9339.21284375 |
transcript.pyannote[1813].speaker |
SPEAKER_17 |
transcript.pyannote[1813].start |
9339.53346875 |
transcript.pyannote[1813].end |
9346.84034375 |
transcript.pyannote[1814].speaker |
SPEAKER_17 |
transcript.pyannote[1814].start |
9347.26221875 |
transcript.pyannote[1814].end |
9352.27409375 |
transcript.pyannote[1815].speaker |
SPEAKER_17 |
transcript.pyannote[1815].start |
9352.74659375 |
transcript.pyannote[1815].end |
9353.45534375 |
transcript.pyannote[1816].speaker |
SPEAKER_17 |
transcript.pyannote[1816].start |
9353.53971875 |
transcript.pyannote[1816].end |
9357.10034375 |
transcript.pyannote[1817].speaker |
SPEAKER_17 |
transcript.pyannote[1817].start |
9358.16346875 |
transcript.pyannote[1817].end |
9360.45846875 |
transcript.pyannote[1818].speaker |
SPEAKER_17 |
transcript.pyannote[1818].start |
9361.04909375 |
transcript.pyannote[1818].end |
9361.35284375 |
transcript.pyannote[1819].speaker |
SPEAKER_17 |
transcript.pyannote[1819].start |
9361.62284375 |
transcript.pyannote[1819].end |
9362.98971875 |
transcript.pyannote[1820].speaker |
SPEAKER_17 |
transcript.pyannote[1820].start |
9363.78284375 |
transcript.pyannote[1820].end |
9364.54221875 |
transcript.pyannote[1821].speaker |
SPEAKER_17 |
transcript.pyannote[1821].start |
9364.82909375 |
transcript.pyannote[1821].end |
9366.58409375 |
transcript.pyannote[1822].speaker |
SPEAKER_17 |
transcript.pyannote[1822].start |
9367.61346875 |
transcript.pyannote[1822].end |
9368.76096875 |
transcript.pyannote[1823].speaker |
SPEAKER_17 |
transcript.pyannote[1823].start |
9368.86221875 |
transcript.pyannote[1823].end |
9371.08971875 |
transcript.pyannote[1824].speaker |
SPEAKER_17 |
transcript.pyannote[1824].start |
9371.32596875 |
transcript.pyannote[1824].end |
9372.18659375 |
transcript.pyannote[1825].speaker |
SPEAKER_17 |
transcript.pyannote[1825].start |
9373.08096875 |
transcript.pyannote[1825].end |
9374.09346875 |
transcript.pyannote[1826].speaker |
SPEAKER_17 |
transcript.pyannote[1826].start |
9375.20721875 |
transcript.pyannote[1826].end |
9377.53596875 |
transcript.pyannote[1827].speaker |
SPEAKER_17 |
transcript.pyannote[1827].start |
9378.26159375 |
transcript.pyannote[1827].end |
9380.21909375 |
transcript.pyannote[1828].speaker |
SPEAKER_17 |
transcript.pyannote[1828].start |
9380.72534375 |
transcript.pyannote[1828].end |
9384.55596875 |
transcript.pyannote[1829].speaker |
SPEAKER_17 |
transcript.pyannote[1829].start |
9385.46721875 |
transcript.pyannote[1829].end |
9389.73659375 |
transcript.pyannote[1830].speaker |
SPEAKER_17 |
transcript.pyannote[1830].start |
9389.98971875 |
transcript.pyannote[1830].end |
9393.12846875 |
transcript.pyannote[1831].speaker |
SPEAKER_17 |
transcript.pyannote[1831].start |
9393.38159375 |
transcript.pyannote[1831].end |
9397.07721875 |
transcript.pyannote[1832].speaker |
SPEAKER_10 |
transcript.pyannote[1832].start |
9398.05596875 |
transcript.pyannote[1832].end |
9398.37659375 |
transcript.pyannote[1833].speaker |
SPEAKER_10 |
transcript.pyannote[1833].start |
9399.25409375 |
transcript.pyannote[1833].end |
9404.19846875 |
transcript.pyannote[1834].speaker |
SPEAKER_10 |
transcript.pyannote[1834].start |
9404.56971875 |
transcript.pyannote[1834].end |
9406.74659375 |
transcript.pyannote[1835].speaker |
SPEAKER_10 |
transcript.pyannote[1835].start |
9407.18534375 |
transcript.pyannote[1835].end |
9410.61096875 |
transcript.pyannote[1836].speaker |
SPEAKER_10 |
transcript.pyannote[1836].start |
9410.94846875 |
transcript.pyannote[1836].end |
9415.89284375 |
transcript.pyannote[1837].speaker |
SPEAKER_10 |
transcript.pyannote[1837].start |
9415.96034375 |
transcript.pyannote[1837].end |
9419.38596875 |
transcript.pyannote[1838].speaker |
SPEAKER_10 |
transcript.pyannote[1838].start |
9419.57159375 |
transcript.pyannote[1838].end |
9428.68409375 |
transcript.pyannote[1839].speaker |
SPEAKER_10 |
transcript.pyannote[1839].start |
9428.92034375 |
transcript.pyannote[1839].end |
9431.82284375 |
transcript.pyannote[1840].speaker |
SPEAKER_10 |
transcript.pyannote[1840].start |
9432.21096875 |
transcript.pyannote[1840].end |
9435.02909375 |
transcript.pyannote[1841].speaker |
SPEAKER_17 |
transcript.pyannote[1841].start |
9435.02909375 |
transcript.pyannote[1841].end |
9436.46346875 |
transcript.pyannote[1842].speaker |
SPEAKER_17 |
transcript.pyannote[1842].start |
9437.22284375 |
transcript.pyannote[1842].end |
9442.16721875 |
transcript.pyannote[1843].speaker |
SPEAKER_17 |
transcript.pyannote[1843].start |
9442.75784375 |
transcript.pyannote[1843].end |
9454.11471875 |
transcript.pyannote[1844].speaker |
SPEAKER_13 |
transcript.pyannote[1844].start |
9454.11471875 |
transcript.pyannote[1844].end |
9454.28346875 |
transcript.pyannote[1845].speaker |
SPEAKER_17 |
transcript.pyannote[1845].start |
9454.65471875 |
transcript.pyannote[1845].end |
9456.57846875 |
transcript.pyannote[1846].speaker |
SPEAKER_13 |
transcript.pyannote[1846].start |
9454.85721875 |
transcript.pyannote[1846].end |
9455.05971875 |
transcript.pyannote[1847].speaker |
SPEAKER_17 |
transcript.pyannote[1847].start |
9457.30409375 |
transcript.pyannote[1847].end |
9462.97409375 |
transcript.pyannote[1848].speaker |
SPEAKER_17 |
transcript.pyannote[1848].start |
9463.37909375 |
transcript.pyannote[1848].end |
9465.99471875 |
transcript.pyannote[1849].speaker |
SPEAKER_17 |
transcript.pyannote[1849].start |
9466.33221875 |
transcript.pyannote[1849].end |
9468.93096875 |
transcript.pyannote[1850].speaker |
SPEAKER_17 |
transcript.pyannote[1850].start |
9469.09971875 |
transcript.pyannote[1850].end |
9475.03971875 |
transcript.pyannote[1851].speaker |
SPEAKER_10 |
transcript.pyannote[1851].start |
9475.57971875 |
transcript.pyannote[1851].end |
9497.65221875 |
transcript.pyannote[1852].speaker |
SPEAKER_10 |
transcript.pyannote[1852].start |
9497.83784375 |
transcript.pyannote[1852].end |
9503.76096875 |
transcript.pyannote[1853].speaker |
SPEAKER_10 |
transcript.pyannote[1853].start |
9503.84534375 |
transcript.pyannote[1853].end |
9506.03909375 |
transcript.pyannote[1854].speaker |
SPEAKER_17 |
transcript.pyannote[1854].start |
9506.03909375 |
transcript.pyannote[1854].end |
9506.30909375 |
transcript.pyannote[1855].speaker |
SPEAKER_10 |
transcript.pyannote[1855].start |
9506.30909375 |
transcript.pyannote[1855].end |
9506.34284375 |
transcript.pyannote[1856].speaker |
SPEAKER_10 |
transcript.pyannote[1856].start |
9506.83221875 |
transcript.pyannote[1856].end |
9506.88284375 |
transcript.pyannote[1857].speaker |
SPEAKER_17 |
transcript.pyannote[1857].start |
9506.88284375 |
transcript.pyannote[1857].end |
9511.42221875 |
transcript.pyannote[1858].speaker |
SPEAKER_17 |
transcript.pyannote[1858].start |
9512.62034375 |
transcript.pyannote[1858].end |
9514.39221875 |
transcript.pyannote[1859].speaker |
SPEAKER_17 |
transcript.pyannote[1859].start |
9514.74659375 |
transcript.pyannote[1859].end |
9517.73346875 |
transcript.pyannote[1860].speaker |
SPEAKER_17 |
transcript.pyannote[1860].start |
9518.02034375 |
transcript.pyannote[1860].end |
9522.96471875 |
transcript.pyannote[1861].speaker |
SPEAKER_10 |
transcript.pyannote[1861].start |
9521.59784375 |
transcript.pyannote[1861].end |
9522.01971875 |
transcript.pyannote[1862].speaker |
SPEAKER_10 |
transcript.pyannote[1862].start |
9522.49221875 |
transcript.pyannote[1862].end |
9526.96409375 |
transcript.pyannote[1863].speaker |
SPEAKER_10 |
transcript.pyannote[1863].start |
9527.31846875 |
transcript.pyannote[1863].end |
9533.00534375 |
transcript.pyannote[1864].speaker |
SPEAKER_10 |
transcript.pyannote[1864].start |
9533.20784375 |
transcript.pyannote[1864].end |
9537.19034375 |
transcript.pyannote[1865].speaker |
SPEAKER_10 |
transcript.pyannote[1865].start |
9537.40971875 |
transcript.pyannote[1865].end |
9538.03409375 |
transcript.pyannote[1866].speaker |
SPEAKER_17 |
transcript.pyannote[1866].start |
9538.03409375 |
transcript.pyannote[1866].end |
9538.64159375 |
transcript.pyannote[1867].speaker |
SPEAKER_10 |
transcript.pyannote[1867].start |
9538.64159375 |
transcript.pyannote[1867].end |
9538.65846875 |
transcript.pyannote[1868].speaker |
SPEAKER_17 |
transcript.pyannote[1868].start |
9538.65846875 |
transcript.pyannote[1868].end |
9543.78846875 |
transcript.pyannote[1869].speaker |
SPEAKER_10 |
transcript.pyannote[1869].start |
9540.97034375 |
transcript.pyannote[1869].end |
9543.19784375 |
transcript.pyannote[1870].speaker |
SPEAKER_00 |
transcript.pyannote[1870].start |
9543.19784375 |
transcript.pyannote[1870].end |
9543.21471875 |
transcript.pyannote[1871].speaker |
SPEAKER_17 |
transcript.pyannote[1871].start |
9543.95721875 |
transcript.pyannote[1871].end |
9545.66159375 |
transcript.pyannote[1872].speaker |
SPEAKER_17 |
transcript.pyannote[1872].start |
9546.15096875 |
transcript.pyannote[1872].end |
9551.63534375 |
transcript.pyannote[1873].speaker |
SPEAKER_17 |
transcript.pyannote[1873].start |
9551.95596875 |
transcript.pyannote[1873].end |
9553.05284375 |
transcript.pyannote[1874].speaker |
SPEAKER_17 |
transcript.pyannote[1874].start |
9553.39034375 |
transcript.pyannote[1874].end |
9553.79534375 |
transcript.pyannote[1875].speaker |
SPEAKER_17 |
transcript.pyannote[1875].start |
9554.09909375 |
transcript.pyannote[1875].end |
9558.90846875 |
transcript.pyannote[1876].speaker |
SPEAKER_13 |
transcript.pyannote[1876].start |
9558.85784375 |
transcript.pyannote[1876].end |
9558.89159375 |
transcript.pyannote[1877].speaker |
SPEAKER_13 |
transcript.pyannote[1877].start |
9558.90846875 |
transcript.pyannote[1877].end |
9559.24596875 |
transcript.pyannote[1878].speaker |
SPEAKER_17 |
transcript.pyannote[1878].start |
9559.11096875 |
transcript.pyannote[1878].end |
9569.26971875 |
transcript.pyannote[1879].speaker |
SPEAKER_17 |
transcript.pyannote[1879].start |
9570.14721875 |
transcript.pyannote[1879].end |
9575.91846875 |
transcript.pyannote[1880].speaker |
SPEAKER_17 |
transcript.pyannote[1880].start |
9576.91409375 |
transcript.pyannote[1880].end |
9581.16659375 |
transcript.pyannote[1881].speaker |
SPEAKER_17 |
transcript.pyannote[1881].start |
9581.68971875 |
transcript.pyannote[1881].end |
9583.03971875 |
transcript.pyannote[1882].speaker |
SPEAKER_17 |
transcript.pyannote[1882].start |
9583.44471875 |
transcript.pyannote[1882].end |
9588.64221875 |
transcript.pyannote[1883].speaker |
SPEAKER_17 |
transcript.pyannote[1883].start |
9588.87846875 |
transcript.pyannote[1883].end |
9605.46659375 |
transcript.pyannote[1884].speaker |
SPEAKER_00 |
transcript.pyannote[1884].start |
9592.99596875 |
transcript.pyannote[1884].end |
9593.60346875 |
transcript.pyannote[1885].speaker |
SPEAKER_00 |
transcript.pyannote[1885].start |
9595.15596875 |
transcript.pyannote[1885].end |
9595.44284375 |
transcript.pyannote[1886].speaker |
SPEAKER_17 |
transcript.pyannote[1886].start |
9605.90534375 |
transcript.pyannote[1886].end |
9607.15409375 |
transcript.pyannote[1887].speaker |
SPEAKER_17 |
transcript.pyannote[1887].start |
9607.33971875 |
transcript.pyannote[1887].end |
9608.43659375 |
transcript.pyannote[1888].speaker |
SPEAKER_17 |
transcript.pyannote[1888].start |
9608.95971875 |
transcript.pyannote[1888].end |
9619.84409375 |
transcript.pyannote[1889].speaker |
SPEAKER_00 |
transcript.pyannote[1889].start |
9610.74846875 |
transcript.pyannote[1889].end |
9610.83284375 |
transcript.pyannote[1890].speaker |
SPEAKER_13 |
transcript.pyannote[1890].start |
9610.83284375 |
transcript.pyannote[1890].end |
9610.96784375 |
transcript.pyannote[1891].speaker |
SPEAKER_00 |
transcript.pyannote[1891].start |
9610.96784375 |
transcript.pyannote[1891].end |
9610.98471875 |
transcript.pyannote[1892].speaker |
SPEAKER_13 |
transcript.pyannote[1892].start |
9619.99596875 |
transcript.pyannote[1892].end |
9620.36721875 |
transcript.pyannote[1893].speaker |
SPEAKER_17 |
transcript.pyannote[1893].start |
9620.36721875 |
transcript.pyannote[1893].end |
9623.97846875 |
transcript.pyannote[1894].speaker |
SPEAKER_10 |
transcript.pyannote[1894].start |
9623.97846875 |
transcript.pyannote[1894].end |
9630.64409375 |
transcript.pyannote[1895].speaker |
SPEAKER_10 |
transcript.pyannote[1895].start |
9630.99846875 |
transcript.pyannote[1895].end |
9632.02784375 |
transcript.pyannote[1896].speaker |
SPEAKER_10 |
transcript.pyannote[1896].start |
9632.53409375 |
transcript.pyannote[1896].end |
9634.81221875 |
transcript.pyannote[1897].speaker |
SPEAKER_10 |
transcript.pyannote[1897].start |
9635.08221875 |
transcript.pyannote[1897].end |
9637.47846875 |
transcript.pyannote[1898].speaker |
SPEAKER_10 |
transcript.pyannote[1898].start |
9637.90034375 |
transcript.pyannote[1898].end |
9641.78159375 |
transcript.pyannote[1899].speaker |
SPEAKER_10 |
transcript.pyannote[1899].start |
9641.88284375 |
transcript.pyannote[1899].end |
9652.69971875 |
transcript.pyannote[1900].speaker |
SPEAKER_17 |
transcript.pyannote[1900].start |
9652.05846875 |
transcript.pyannote[1900].end |
9652.44659375 |
transcript.pyannote[1901].speaker |
SPEAKER_17 |
transcript.pyannote[1901].start |
9652.69971875 |
transcript.pyannote[1901].end |
9670.28346875 |
transcript.pyannote[1902].speaker |
SPEAKER_10 |
transcript.pyannote[1902].start |
9655.02846875 |
transcript.pyannote[1902].end |
9655.85534375 |
transcript.pyannote[1903].speaker |
SPEAKER_10 |
transcript.pyannote[1903].start |
9670.28346875 |
transcript.pyannote[1903].end |
9672.57846875 |
transcript.pyannote[1904].speaker |
SPEAKER_17 |
transcript.pyannote[1904].start |
9670.72221875 |
transcript.pyannote[1904].end |
9670.97534375 |
transcript.pyannote[1905].speaker |
SPEAKER_17 |
transcript.pyannote[1905].start |
9672.57846875 |
transcript.pyannote[1905].end |
9672.66284375 |
transcript.pyannote[1906].speaker |
SPEAKER_10 |
transcript.pyannote[1906].start |
9672.66284375 |
transcript.pyannote[1906].end |
9672.67971875 |
transcript.pyannote[1907].speaker |
SPEAKER_17 |
transcript.pyannote[1907].start |
9672.67971875 |
transcript.pyannote[1907].end |
9672.74721875 |
transcript.pyannote[1908].speaker |
SPEAKER_10 |
transcript.pyannote[1908].start |
9672.74721875 |
transcript.pyannote[1908].end |
9672.79784375 |
transcript.pyannote[1909].speaker |
SPEAKER_17 |
transcript.pyannote[1909].start |
9672.79784375 |
transcript.pyannote[1909].end |
9672.88221875 |
transcript.pyannote[1910].speaker |
SPEAKER_10 |
transcript.pyannote[1910].start |
9672.88221875 |
transcript.pyannote[1910].end |
9673.03409375 |
transcript.pyannote[1911].speaker |
SPEAKER_17 |
transcript.pyannote[1911].start |
9673.03409375 |
transcript.pyannote[1911].end |
9683.51346875 |
transcript.pyannote[1912].speaker |
SPEAKER_10 |
transcript.pyannote[1912].start |
9674.02971875 |
transcript.pyannote[1912].end |
9674.94096875 |
transcript.pyannote[1913].speaker |
SPEAKER_10 |
transcript.pyannote[1913].start |
9675.02534375 |
transcript.pyannote[1913].end |
9677.50596875 |
transcript.pyannote[1914].speaker |
SPEAKER_00 |
transcript.pyannote[1914].start |
9677.50596875 |
transcript.pyannote[1914].end |
9677.53971875 |
transcript.pyannote[1915].speaker |
SPEAKER_00 |
transcript.pyannote[1915].start |
9677.65784375 |
transcript.pyannote[1915].end |
9678.01221875 |
transcript.pyannote[1916].speaker |
SPEAKER_00 |
transcript.pyannote[1916].start |
9681.21846875 |
transcript.pyannote[1916].end |
9681.23534375 |
transcript.pyannote[1917].speaker |
SPEAKER_17 |
transcript.pyannote[1917].start |
9683.63159375 |
transcript.pyannote[1917].end |
9688.86284375 |
transcript.pyannote[1918].speaker |
SPEAKER_13 |
transcript.pyannote[1918].start |
9687.09096875 |
transcript.pyannote[1918].end |
9687.44534375 |
transcript.pyannote[1919].speaker |
SPEAKER_17 |
transcript.pyannote[1919].start |
9689.08221875 |
transcript.pyannote[1919].end |
9689.95971875 |
transcript.pyannote[1920].speaker |
SPEAKER_17 |
transcript.pyannote[1920].start |
9690.26346875 |
transcript.pyannote[1920].end |
9692.03534375 |
transcript.pyannote[1921].speaker |
SPEAKER_17 |
transcript.pyannote[1921].start |
9692.45721875 |
transcript.pyannote[1921].end |
9695.17409375 |
transcript.pyannote[1922].speaker |
SPEAKER_17 |
transcript.pyannote[1922].start |
9695.59596875 |
transcript.pyannote[1922].end |
9697.43534375 |
transcript.pyannote[1923].speaker |
SPEAKER_17 |
transcript.pyannote[1923].start |
9697.73909375 |
transcript.pyannote[1923].end |
9698.90346875 |
transcript.pyannote[1924].speaker |
SPEAKER_17 |
transcript.pyannote[1924].start |
9699.93284375 |
transcript.pyannote[1924].end |
9701.63721875 |
transcript.pyannote[1925].speaker |
SPEAKER_17 |
transcript.pyannote[1925].start |
9702.80159375 |
transcript.pyannote[1925].end |
9704.05034375 |
transcript.pyannote[1926].speaker |
SPEAKER_13 |
transcript.pyannote[1926].start |
9704.33721875 |
transcript.pyannote[1926].end |
9704.37096875 |
transcript.pyannote[1927].speaker |
SPEAKER_10 |
transcript.pyannote[1927].start |
9704.37096875 |
transcript.pyannote[1927].end |
9704.79284375 |
transcript.pyannote[1928].speaker |
SPEAKER_17 |
transcript.pyannote[1928].start |
9704.79284375 |
transcript.pyannote[1928].end |
9707.98221875 |
transcript.pyannote[1929].speaker |
SPEAKER_10 |
transcript.pyannote[1929].start |
9705.24846875 |
transcript.pyannote[1929].end |
9706.21034375 |
transcript.pyannote[1930].speaker |
SPEAKER_10 |
transcript.pyannote[1930].start |
9707.32409375 |
transcript.pyannote[1930].end |
9710.41221875 |
transcript.pyannote[1931].speaker |
SPEAKER_17 |
transcript.pyannote[1931].start |
9709.95659375 |
transcript.pyannote[1931].end |
9710.32784375 |
transcript.pyannote[1932].speaker |
SPEAKER_17 |
transcript.pyannote[1932].start |
9710.90159375 |
transcript.pyannote[1932].end |
9715.62659375 |
transcript.pyannote[1933].speaker |
SPEAKER_17 |
transcript.pyannote[1933].start |
9716.11596875 |
transcript.pyannote[1933].end |
9717.26346875 |
transcript.pyannote[1934].speaker |
SPEAKER_17 |
transcript.pyannote[1934].start |
9718.46159375 |
transcript.pyannote[1934].end |
9719.71034375 |
transcript.pyannote[1935].speaker |
SPEAKER_17 |
transcript.pyannote[1935].start |
9721.00971875 |
transcript.pyannote[1935].end |
9722.30909375 |
transcript.pyannote[1936].speaker |
SPEAKER_17 |
transcript.pyannote[1936].start |
9723.35534375 |
transcript.pyannote[1936].end |
9724.45221875 |
transcript.pyannote[1937].speaker |
SPEAKER_17 |
transcript.pyannote[1937].start |
9724.90784375 |
transcript.pyannote[1937].end |
9728.97471875 |
transcript.pyannote[1938].speaker |
SPEAKER_13 |
transcript.pyannote[1938].start |
9724.92471875 |
transcript.pyannote[1938].end |
9725.02596875 |
transcript.pyannote[1939].speaker |
SPEAKER_10 |
transcript.pyannote[1939].start |
9725.02596875 |
transcript.pyannote[1939].end |
9725.09346875 |
transcript.pyannote[1940].speaker |
SPEAKER_13 |
transcript.pyannote[1940].start |
9725.09346875 |
transcript.pyannote[1940].end |
9725.88659375 |
transcript.pyannote[1941].speaker |
SPEAKER_10 |
transcript.pyannote[1941].start |
9725.88659375 |
transcript.pyannote[1941].end |
9725.95409375 |
transcript.pyannote[1942].speaker |
SPEAKER_17 |
transcript.pyannote[1942].start |
9729.93659375 |
transcript.pyannote[1942].end |
9736.83846875 |
transcript.pyannote[1943].speaker |
SPEAKER_17 |
transcript.pyannote[1943].start |
9736.93971875 |
transcript.pyannote[1943].end |
9742.50846875 |
transcript.pyannote[1944].speaker |
SPEAKER_17 |
transcript.pyannote[1944].start |
9743.26784375 |
transcript.pyannote[1944].end |
9749.17409375 |
transcript.pyannote[1945].speaker |
SPEAKER_17 |
transcript.pyannote[1945].start |
9750.15284375 |
transcript.pyannote[1945].end |
9756.95346875 |
transcript.pyannote[1946].speaker |
SPEAKER_17 |
transcript.pyannote[1946].start |
9757.76346875 |
transcript.pyannote[1946].end |
9769.01909375 |
transcript.pyannote[1947].speaker |
SPEAKER_13 |
transcript.pyannote[1947].start |
9769.01909375 |
transcript.pyannote[1947].end |
9769.40721875 |
transcript.pyannote[1948].speaker |
SPEAKER_17 |
transcript.pyannote[1948].start |
9769.32284375 |
transcript.pyannote[1948].end |
9778.38471875 |
transcript.pyannote[1949].speaker |
SPEAKER_17 |
transcript.pyannote[1949].start |
9778.68846875 |
transcript.pyannote[1949].end |
9780.59534375 |
transcript.pyannote[1950].speaker |
SPEAKER_17 |
transcript.pyannote[1950].start |
9781.21971875 |
transcript.pyannote[1950].end |
9782.21534375 |
transcript.pyannote[1951].speaker |
SPEAKER_10 |
transcript.pyannote[1951].start |
9783.05909375 |
transcript.pyannote[1951].end |
9783.21096875 |
transcript.pyannote[1952].speaker |
SPEAKER_17 |
transcript.pyannote[1952].start |
9783.21096875 |
transcript.pyannote[1952].end |
9783.59909375 |
transcript.pyannote[1953].speaker |
SPEAKER_10 |
transcript.pyannote[1953].start |
9783.59909375 |
transcript.pyannote[1953].end |
9792.45846875 |
transcript.pyannote[1954].speaker |
SPEAKER_17 |
transcript.pyannote[1954].start |
9790.24784375 |
transcript.pyannote[1954].end |
9806.38034375 |
transcript.pyannote[1955].speaker |
SPEAKER_10 |
transcript.pyannote[1955].start |
9793.13346875 |
transcript.pyannote[1955].end |
9793.74096875 |
transcript.pyannote[1956].speaker |
SPEAKER_17 |
transcript.pyannote[1956].start |
9807.19034375 |
transcript.pyannote[1956].end |
9809.38409375 |
transcript.pyannote[1957].speaker |
SPEAKER_17 |
transcript.pyannote[1957].start |
9810.10971875 |
transcript.pyannote[1957].end |
9811.10534375 |
transcript.pyannote[1958].speaker |
SPEAKER_17 |
transcript.pyannote[1958].start |
9811.52721875 |
transcript.pyannote[1958].end |
9817.93971875 |
transcript.pyannote[1959].speaker |
SPEAKER_17 |
transcript.pyannote[1959].start |
9818.27721875 |
transcript.pyannote[1959].end |
9819.49221875 |
transcript.pyannote[1960].speaker |
SPEAKER_17 |
transcript.pyannote[1960].start |
9820.67346875 |
transcript.pyannote[1960].end |
9824.23409375 |
transcript.pyannote[1961].speaker |
SPEAKER_17 |
transcript.pyannote[1961].start |
9824.77409375 |
transcript.pyannote[1961].end |
9832.70534375 |
transcript.pyannote[1962].speaker |
SPEAKER_17 |
transcript.pyannote[1962].start |
9833.71784375 |
transcript.pyannote[1962].end |
9837.54846875 |
transcript.pyannote[1963].speaker |
SPEAKER_10 |
transcript.pyannote[1963].start |
9838.79721875 |
transcript.pyannote[1963].end |
9845.61471875 |
transcript.pyannote[1964].speaker |
SPEAKER_17 |
transcript.pyannote[1964].start |
9843.77534375 |
transcript.pyannote[1964].end |
9846.32346875 |
transcript.pyannote[1965].speaker |
SPEAKER_10 |
transcript.pyannote[1965].start |
9846.32346875 |
transcript.pyannote[1965].end |
9846.34034375 |
transcript.pyannote[1966].speaker |
SPEAKER_17 |
transcript.pyannote[1966].start |
9846.34034375 |
transcript.pyannote[1966].end |
9846.40784375 |
transcript.pyannote[1967].speaker |
SPEAKER_10 |
transcript.pyannote[1967].start |
9846.40784375 |
transcript.pyannote[1967].end |
9846.74534375 |
transcript.pyannote[1968].speaker |
SPEAKER_17 |
transcript.pyannote[1968].start |
9846.42471875 |
transcript.pyannote[1968].end |
9848.04471875 |
transcript.pyannote[1969].speaker |
SPEAKER_17 |
transcript.pyannote[1969].start |
9848.71971875 |
transcript.pyannote[1969].end |
9850.42409375 |
transcript.pyannote[1970].speaker |
SPEAKER_17 |
transcript.pyannote[1970].start |
9851.33534375 |
transcript.pyannote[1970].end |
9852.78659375 |
transcript.pyannote[1971].speaker |
SPEAKER_14 |
transcript.pyannote[1971].start |
9854.42346875 |
transcript.pyannote[1971].end |
9854.76096875 |
transcript.pyannote[1972].speaker |
SPEAKER_16 |
transcript.pyannote[1972].start |
9854.76096875 |
transcript.pyannote[1972].end |
9876.24284375 |
transcript.pyannote[1973].speaker |
SPEAKER_17 |
transcript.pyannote[1973].start |
9875.68596875 |
transcript.pyannote[1973].end |
9877.32284375 |
transcript.pyannote[1974].speaker |
SPEAKER_16 |
transcript.pyannote[1974].start |
9876.98534375 |
transcript.pyannote[1974].end |
9879.16221875 |
transcript.pyannote[1975].speaker |
SPEAKER_17 |
transcript.pyannote[1975].start |
9877.77846875 |
transcript.pyannote[1975].end |
9885.60846875 |
transcript.pyannote[1976].speaker |
SPEAKER_17 |
transcript.pyannote[1976].start |
9885.79409375 |
transcript.pyannote[1976].end |
9890.82284375 |
transcript.pyannote[1977].speaker |
SPEAKER_17 |
transcript.pyannote[1977].start |
9891.59909375 |
transcript.pyannote[1977].end |
9893.97846875 |
transcript.pyannote[1978].speaker |
SPEAKER_16 |
transcript.pyannote[1978].start |
9893.97846875 |
transcript.pyannote[1978].end |
9895.61534375 |
transcript.pyannote[1979].speaker |
SPEAKER_17 |
transcript.pyannote[1979].start |
9894.33284375 |
transcript.pyannote[1979].end |
9908.08596875 |
transcript.pyannote[1980].speaker |
SPEAKER_16 |
transcript.pyannote[1980].start |
9902.43284375 |
transcript.pyannote[1980].end |
9902.50034375 |
transcript.pyannote[1981].speaker |
SPEAKER_00 |
transcript.pyannote[1981].start |
9902.50034375 |
transcript.pyannote[1981].end |
9903.86721875 |
transcript.pyannote[1982].speaker |
SPEAKER_17 |
transcript.pyannote[1982].start |
9908.77784375 |
transcript.pyannote[1982].end |
9914.68409375 |
transcript.pyannote[1983].speaker |
SPEAKER_16 |
transcript.pyannote[1983].start |
9913.62096875 |
transcript.pyannote[1983].end |
9914.00909375 |
transcript.pyannote[1984].speaker |
SPEAKER_16 |
transcript.pyannote[1984].start |
9914.36346875 |
transcript.pyannote[1984].end |
9914.53221875 |
transcript.pyannote[1985].speaker |
SPEAKER_07 |
transcript.pyannote[1985].start |
9914.95409375 |
transcript.pyannote[1985].end |
9915.64596875 |
transcript.pyannote[1986].speaker |
SPEAKER_07 |
transcript.pyannote[1986].start |
9916.15221875 |
transcript.pyannote[1986].end |
9916.86096875 |
transcript.pyannote[1987].speaker |
SPEAKER_07 |
transcript.pyannote[1987].start |
9917.21534375 |
transcript.pyannote[1987].end |
9919.61159375 |
transcript.pyannote[1988].speaker |
SPEAKER_07 |
transcript.pyannote[1988].start |
9919.81409375 |
transcript.pyannote[1988].end |
9920.15159375 |
transcript.pyannote[1989].speaker |
SPEAKER_17 |
transcript.pyannote[1989].start |
9927.74534375 |
transcript.pyannote[1989].end |
9929.56784375 |
transcript.pyannote[1990].speaker |
SPEAKER_17 |
transcript.pyannote[1990].start |
9929.87159375 |
transcript.pyannote[1990].end |
9933.80346875 |
transcript.pyannote[1991].speaker |
SPEAKER_17 |
transcript.pyannote[1991].start |
9934.27596875 |
transcript.pyannote[1991].end |
9936.04784375 |
transcript.pyannote[1992].speaker |
SPEAKER_07 |
transcript.pyannote[1992].start |
9937.07721875 |
transcript.pyannote[1992].end |
9938.20784375 |
transcript.pyannote[1993].speaker |
SPEAKER_17 |
transcript.pyannote[1993].start |
9937.09409375 |
transcript.pyannote[1993].end |
9937.71846875 |
transcript.pyannote[1994].speaker |
SPEAKER_17 |
transcript.pyannote[1994].start |
9938.20784375 |
transcript.pyannote[1994].end |
9938.71409375 |
transcript.pyannote[1995].speaker |
SPEAKER_17 |
transcript.pyannote[1995].start |
9939.01784375 |
transcript.pyannote[1995].end |
9939.87846875 |
transcript.pyannote[1996].speaker |
SPEAKER_17 |
transcript.pyannote[1996].start |
9940.01346875 |
transcript.pyannote[1996].end |
9941.39721875 |
transcript.pyannote[1997].speaker |
SPEAKER_17 |
transcript.pyannote[1997].start |
9942.07221875 |
transcript.pyannote[1997].end |
9943.81034375 |
transcript.pyannote[1998].speaker |
SPEAKER_07 |
transcript.pyannote[1998].start |
9944.38409375 |
transcript.pyannote[1998].end |
9945.91971875 |
transcript.pyannote[1999].speaker |
SPEAKER_17 |
transcript.pyannote[1999].start |
9948.58596875 |
transcript.pyannote[1999].end |
9949.14284375 |
transcript.pyannote[2000].speaker |
SPEAKER_17 |
transcript.pyannote[2000].start |
9949.37909375 |
transcript.pyannote[2000].end |
9951.16784375 |
transcript.pyannote[2001].speaker |
SPEAKER_17 |
transcript.pyannote[2001].start |
9951.53909375 |
transcript.pyannote[2001].end |
9952.02846875 |
transcript.pyannote[2002].speaker |
SPEAKER_17 |
transcript.pyannote[2002].start |
9952.55159375 |
transcript.pyannote[2002].end |
9952.87221875 |
transcript.pyannote[2003].speaker |
SPEAKER_17 |
transcript.pyannote[2003].start |
9953.39534375 |
transcript.pyannote[2003].end |
9954.74534375 |
transcript.pyannote[2004].speaker |
SPEAKER_17 |
transcript.pyannote[2004].start |
9955.01534375 |
transcript.pyannote[2004].end |
9958.96409375 |
transcript.pyannote[2005].speaker |
SPEAKER_17 |
transcript.pyannote[2005].start |
9959.57159375 |
transcript.pyannote[2005].end |
9960.73596875 |
transcript.pyannote[2006].speaker |
SPEAKER_17 |
transcript.pyannote[2006].start |
9961.69784375 |
transcript.pyannote[2006].end |
9962.28846875 |
transcript.pyannote[2007].speaker |
SPEAKER_17 |
transcript.pyannote[2007].start |
9962.38971875 |
transcript.pyannote[2007].end |
9962.40659375 |
transcript.pyannote[2008].speaker |
SPEAKER_10 |
transcript.pyannote[2008].start |
9962.40659375 |
transcript.pyannote[2008].end |
9963.09846875 |
transcript.pyannote[2009].speaker |
SPEAKER_17 |
transcript.pyannote[2009].start |
9962.82846875 |
transcript.pyannote[2009].end |
9964.78596875 |
transcript.pyannote[2010].speaker |
SPEAKER_17 |
transcript.pyannote[2010].start |
9965.17409375 |
transcript.pyannote[2010].end |
9967.62096875 |
transcript.pyannote[2011].speaker |
SPEAKER_10 |
transcript.pyannote[2011].start |
9969.96659375 |
transcript.pyannote[2011].end |
9975.24846875 |
transcript.pyannote[2012].speaker |
SPEAKER_17 |
transcript.pyannote[2012].start |
9974.86034375 |
transcript.pyannote[2012].end |
9975.21471875 |
transcript.pyannote[2013].speaker |
SPEAKER_17 |
transcript.pyannote[2013].start |
9975.24846875 |
transcript.pyannote[2013].end |
9975.33284375 |
transcript.pyannote[2014].speaker |
SPEAKER_10 |
transcript.pyannote[2014].start |
9975.33284375 |
transcript.pyannote[2014].end |
9979.23096875 |
transcript.pyannote[2015].speaker |
SPEAKER_17 |
transcript.pyannote[2015].start |
9977.93159375 |
transcript.pyannote[2015].end |
9978.74159375 |
transcript.pyannote[2016].speaker |
SPEAKER_17 |
transcript.pyannote[2016].start |
9979.23096875 |
transcript.pyannote[2016].end |
9979.26471875 |
transcript.pyannote[2017].speaker |
SPEAKER_17 |
transcript.pyannote[2017].start |
9979.63596875 |
transcript.pyannote[2017].end |
9980.53034375 |
transcript.pyannote[2018].speaker |
SPEAKER_17 |
transcript.pyannote[2018].start |
9980.69909375 |
transcript.pyannote[2018].end |
9980.73284375 |
transcript.pyannote[2019].speaker |
SPEAKER_10 |
transcript.pyannote[2019].start |
9980.73284375 |
transcript.pyannote[2019].end |
9980.74971875 |
transcript.pyannote[2020].speaker |
SPEAKER_17 |
transcript.pyannote[2020].start |
9980.74971875 |
transcript.pyannote[2020].end |
9983.43284375 |
transcript.pyannote[2021].speaker |
SPEAKER_17 |
transcript.pyannote[2021].start |
9983.61846875 |
transcript.pyannote[2021].end |
9986.92596875 |
transcript.pyannote[2022].speaker |
SPEAKER_17 |
transcript.pyannote[2022].start |
9987.34784375 |
transcript.pyannote[2022].end |
9987.88784375 |
transcript.pyannote[2023].speaker |
SPEAKER_17 |
transcript.pyannote[2023].start |
9988.63034375 |
transcript.pyannote[2023].end |
9990.77346875 |
transcript.pyannote[2024].speaker |
SPEAKER_17 |
transcript.pyannote[2024].start |
9991.00971875 |
transcript.pyannote[2024].end |
9993.97971875 |
transcript.pyannote[2025].speaker |
SPEAKER_17 |
transcript.pyannote[2025].start |
9994.36784375 |
transcript.pyannote[2025].end |
9997.69221875 |
transcript.pyannote[2026].speaker |
SPEAKER_17 |
transcript.pyannote[2026].start |
9997.81034375 |
transcript.pyannote[2026].end |
10000.45971875 |
transcript.pyannote[2027].speaker |
SPEAKER_17 |
transcript.pyannote[2027].start |
10000.78034375 |
transcript.pyannote[2027].end |
10002.77159375 |
transcript.pyannote[2028].speaker |
SPEAKER_17 |
transcript.pyannote[2028].start |
10003.05846875 |
transcript.pyannote[2028].end |
10003.80096875 |
transcript.pyannote[2029].speaker |
SPEAKER_17 |
transcript.pyannote[2029].start |
10004.05409375 |
transcript.pyannote[2029].end |
10005.30284375 |
transcript.pyannote[2030].speaker |
SPEAKER_17 |
transcript.pyannote[2030].start |
10005.70784375 |
transcript.pyannote[2030].end |
10006.28159375 |
transcript.pyannote[2031].speaker |
SPEAKER_17 |
transcript.pyannote[2031].start |
10007.00721875 |
transcript.pyannote[2031].end |
10007.49659375 |
transcript.pyannote[2032].speaker |
SPEAKER_17 |
transcript.pyannote[2032].start |
10007.88471875 |
transcript.pyannote[2032].end |
10008.82971875 |
transcript.pyannote[2033].speaker |
SPEAKER_17 |
transcript.pyannote[2033].start |
10009.11659375 |
transcript.pyannote[2033].end |
10009.65659375 |
transcript.pyannote[2034].speaker |
SPEAKER_17 |
transcript.pyannote[2034].start |
10009.99409375 |
transcript.pyannote[2034].end |
10010.75346875 |
transcript.pyannote[2035].speaker |
SPEAKER_17 |
transcript.pyannote[2035].start |
10011.19221875 |
transcript.pyannote[2035].end |
10012.01909375 |
transcript.pyannote[2036].speaker |
SPEAKER_17 |
transcript.pyannote[2036].start |
10012.40721875 |
transcript.pyannote[2036].end |
10012.99784375 |
transcript.pyannote[2037].speaker |
SPEAKER_17 |
transcript.pyannote[2037].start |
10013.14971875 |
transcript.pyannote[2037].end |
10018.33034375 |
transcript.pyannote[2038].speaker |
SPEAKER_17 |
transcript.pyannote[2038].start |
10018.97159375 |
transcript.pyannote[2038].end |
10022.36346875 |
transcript.pyannote[2039].speaker |
SPEAKER_17 |
transcript.pyannote[2039].start |
10022.68409375 |
transcript.pyannote[2039].end |
10026.39659375 |
transcript.pyannote[2040].speaker |
SPEAKER_17 |
transcript.pyannote[2040].start |
10026.93659375 |
transcript.pyannote[2040].end |
10027.37534375 |
transcript.pyannote[2041].speaker |
SPEAKER_17 |
transcript.pyannote[2041].start |
10027.91534375 |
transcript.pyannote[2041].end |
10029.70409375 |
transcript.pyannote[2042].speaker |
SPEAKER_17 |
transcript.pyannote[2042].start |
10030.00784375 |
transcript.pyannote[2042].end |
10032.37034375 |
transcript.pyannote[2043].speaker |
SPEAKER_17 |
transcript.pyannote[2043].start |
10032.85971875 |
transcript.pyannote[2043].end |
10038.52971875 |
transcript.pyannote[2044].speaker |
SPEAKER_17 |
transcript.pyannote[2044].start |
10038.71534375 |
transcript.pyannote[2044].end |
10040.89221875 |
transcript.pyannote[2045].speaker |
SPEAKER_17 |
transcript.pyannote[2045].start |
10041.44909375 |
transcript.pyannote[2045].end |
10044.26721875 |
transcript.pyannote[2046].speaker |
SPEAKER_17 |
transcript.pyannote[2046].start |
10044.53721875 |
transcript.pyannote[2046].end |
10045.87034375 |
transcript.pyannote[2047].speaker |
SPEAKER_17 |
transcript.pyannote[2047].start |
10045.98846875 |
transcript.pyannote[2047].end |
10049.80221875 |
transcript.pyannote[2048].speaker |
SPEAKER_17 |
transcript.pyannote[2048].start |
10049.83596875 |
transcript.pyannote[2048].end |
10052.97471875 |
transcript.pyannote[2049].speaker |
SPEAKER_10 |
transcript.pyannote[2049].start |
10052.97471875 |
transcript.pyannote[2049].end |
10053.00846875 |
transcript.pyannote[2050].speaker |
SPEAKER_17 |
transcript.pyannote[2050].start |
10053.14346875 |
transcript.pyannote[2050].end |
10054.83096875 |
transcript.pyannote[2051].speaker |
SPEAKER_10 |
transcript.pyannote[2051].start |
10054.83096875 |
transcript.pyannote[2051].end |
10054.88159375 |
transcript.pyannote[2052].speaker |
SPEAKER_17 |
transcript.pyannote[2052].start |
10055.21909375 |
transcript.pyannote[2052].end |
10055.23596875 |
transcript.pyannote[2053].speaker |
SPEAKER_10 |
transcript.pyannote[2053].start |
10055.23596875 |
transcript.pyannote[2053].end |
10065.81659375 |
transcript.pyannote[2054].speaker |
SPEAKER_17 |
transcript.pyannote[2054].start |
10061.73284375 |
transcript.pyannote[2054].end |
10065.73221875 |
transcript.pyannote[2055].speaker |
SPEAKER_10 |
transcript.pyannote[2055].start |
10066.15409375 |
transcript.pyannote[2055].end |
10071.03096875 |
transcript.pyannote[2056].speaker |
SPEAKER_17 |
transcript.pyannote[2056].start |
10067.09909375 |
transcript.pyannote[2056].end |
10067.92596875 |
transcript.pyannote[2057].speaker |
SPEAKER_17 |
transcript.pyannote[2057].start |
10071.03096875 |
transcript.pyannote[2057].end |
10071.48659375 |
transcript.pyannote[2058].speaker |
SPEAKER_10 |
transcript.pyannote[2058].start |
10071.48659375 |
transcript.pyannote[2058].end |
10071.50346875 |
transcript.pyannote[2059].speaker |
SPEAKER_10 |
transcript.pyannote[2059].start |
10072.90409375 |
transcript.pyannote[2059].end |
10072.92096875 |
transcript.pyannote[2060].speaker |
SPEAKER_17 |
transcript.pyannote[2060].start |
10072.92096875 |
transcript.pyannote[2060].end |
10073.25846875 |
transcript.pyannote[2061].speaker |
SPEAKER_10 |
transcript.pyannote[2061].start |
10073.25846875 |
transcript.pyannote[2061].end |
10073.29221875 |
transcript.pyannote[2062].speaker |
SPEAKER_17 |
transcript.pyannote[2062].start |
10073.49471875 |
transcript.pyannote[2062].end |
10075.70534375 |
transcript.pyannote[2063].speaker |
SPEAKER_17 |
transcript.pyannote[2063].start |
10076.16096875 |
transcript.pyannote[2063].end |
10078.64159375 |
transcript.pyannote[2064].speaker |
SPEAKER_17 |
transcript.pyannote[2064].start |
10078.94534375 |
transcript.pyannote[2064].end |
10082.03346875 |
transcript.pyannote[2065].speaker |
SPEAKER_17 |
transcript.pyannote[2065].start |
10082.99534375 |
transcript.pyannote[2065].end |
10084.96971875 |
transcript.pyannote[2066].speaker |
SPEAKER_10 |
transcript.pyannote[2066].start |
10084.09221875 |
transcript.pyannote[2066].end |
10085.42534375 |
transcript.pyannote[2067].speaker |
SPEAKER_17 |
transcript.pyannote[2067].start |
10085.27346875 |
transcript.pyannote[2067].end |
10087.04534375 |
transcript.pyannote[2068].speaker |
SPEAKER_17 |
transcript.pyannote[2068].start |
10087.65284375 |
transcript.pyannote[2068].end |
10091.09534375 |
transcript.pyannote[2069].speaker |
SPEAKER_17 |
transcript.pyannote[2069].start |
10091.55096875 |
transcript.pyannote[2069].end |
10092.93471875 |
transcript.pyannote[2070].speaker |
SPEAKER_17 |
transcript.pyannote[2070].start |
10093.06971875 |
transcript.pyannote[2070].end |
10094.28471875 |
transcript.pyannote[2071].speaker |
SPEAKER_17 |
transcript.pyannote[2071].start |
10094.87534375 |
transcript.pyannote[2071].end |
10096.36034375 |
transcript.pyannote[2072].speaker |
SPEAKER_17 |
transcript.pyannote[2072].start |
10096.68096875 |
transcript.pyannote[2072].end |
10097.44034375 |
transcript.pyannote[2073].speaker |
SPEAKER_17 |
transcript.pyannote[2073].start |
10098.14909375 |
transcript.pyannote[2073].end |
10100.69721875 |
transcript.pyannote[2074].speaker |
SPEAKER_17 |
transcript.pyannote[2074].start |
10101.03471875 |
transcript.pyannote[2074].end |
10103.92034375 |
transcript.pyannote[2075].speaker |
SPEAKER_17 |
transcript.pyannote[2075].start |
10103.97096875 |
transcript.pyannote[2075].end |
10104.62909375 |
transcript.pyannote[2076].speaker |
SPEAKER_17 |
transcript.pyannote[2076].start |
10104.98346875 |
transcript.pyannote[2076].end |
10112.23971875 |
transcript.pyannote[2077].speaker |
SPEAKER_17 |
transcript.pyannote[2077].start |
10112.42534375 |
transcript.pyannote[2077].end |
10117.48784375 |
transcript.pyannote[2078].speaker |
SPEAKER_17 |
transcript.pyannote[2078].start |
10117.85909375 |
transcript.pyannote[2078].end |
10120.05284375 |
transcript.pyannote[2079].speaker |
SPEAKER_17 |
transcript.pyannote[2079].start |
10120.33971875 |
transcript.pyannote[2079].end |
10121.97659375 |
transcript.pyannote[2080].speaker |
SPEAKER_10 |
transcript.pyannote[2080].start |
10121.97659375 |
transcript.pyannote[2080].end |
10122.09471875 |
transcript.pyannote[2081].speaker |
SPEAKER_10 |
transcript.pyannote[2081].start |
10122.90471875 |
transcript.pyannote[2081].end |
10128.38909375 |
transcript.pyannote[2082].speaker |
SPEAKER_10 |
transcript.pyannote[2082].start |
10128.64221875 |
transcript.pyannote[2082].end |
10136.57346875 |
transcript.pyannote[2083].speaker |
SPEAKER_17 |
transcript.pyannote[2083].start |
10133.55284375 |
transcript.pyannote[2083].end |
10148.58846875 |
transcript.pyannote[2084].speaker |
SPEAKER_17 |
transcript.pyannote[2084].start |
10148.74034375 |
transcript.pyannote[2084].end |
10149.53346875 |
transcript.pyannote[2085].speaker |
SPEAKER_17 |
transcript.pyannote[2085].start |
10150.36034375 |
transcript.pyannote[2085].end |
10156.48596875 |
transcript.pyannote[2086].speaker |
SPEAKER_19 |
transcript.pyannote[2086].start |
10156.35096875 |
transcript.pyannote[2086].end |
10162.12221875 |
transcript.pyannote[2087].speaker |
SPEAKER_17 |
transcript.pyannote[2087].start |
10158.44346875 |
transcript.pyannote[2087].end |
10159.54034375 |
transcript.pyannote[2088].speaker |
SPEAKER_17 |
transcript.pyannote[2088].start |
10159.59096875 |
transcript.pyannote[2088].end |
10160.53596875 |
transcript.pyannote[2089].speaker |
SPEAKER_17 |
transcript.pyannote[2089].start |
10162.12221875 |
transcript.pyannote[2089].end |
10169.54721875 |
transcript.pyannote[2090].speaker |
SPEAKER_19 |
transcript.pyannote[2090].start |
10162.15596875 |
transcript.pyannote[2090].end |
10163.20221875 |
transcript.pyannote[2091].speaker |
SPEAKER_17 |
transcript.pyannote[2091].start |
10169.80034375 |
transcript.pyannote[2091].end |
10170.79596875 |
transcript.pyannote[2092].speaker |
SPEAKER_13 |
transcript.pyannote[2092].start |
10170.25596875 |
transcript.pyannote[2092].end |
10170.69471875 |
transcript.pyannote[2093].speaker |
SPEAKER_17 |
transcript.pyannote[2093].start |
10170.81284375 |
transcript.pyannote[2093].end |
10180.65096875 |
transcript.pyannote[2094].speaker |
SPEAKER_13 |
transcript.pyannote[2094].start |
10174.27221875 |
transcript.pyannote[2094].end |
10176.87096875 |
transcript.pyannote[2095].speaker |
SPEAKER_17 |
transcript.pyannote[2095].start |
10180.73534375 |
transcript.pyannote[2095].end |
10182.92909375 |
transcript.pyannote[2096].speaker |
SPEAKER_17 |
transcript.pyannote[2096].start |
10183.08096875 |
transcript.pyannote[2096].end |
10184.22846875 |
transcript.pyannote[2097].speaker |
SPEAKER_17 |
transcript.pyannote[2097].start |
10184.61659375 |
transcript.pyannote[2097].end |
10185.42659375 |
transcript.pyannote[2098].speaker |
SPEAKER_17 |
transcript.pyannote[2098].start |
10185.51096875 |
transcript.pyannote[2098].end |
10186.43909375 |
transcript.pyannote[2099].speaker |
SPEAKER_17 |
transcript.pyannote[2099].start |
10186.65846875 |
transcript.pyannote[2099].end |
10187.80596875 |
transcript.pyannote[2100].speaker |
SPEAKER_17 |
transcript.pyannote[2100].start |
10188.05909375 |
transcript.pyannote[2100].end |
10189.05471875 |
transcript.pyannote[2101].speaker |
SPEAKER_17 |
transcript.pyannote[2101].start |
10189.22346875 |
transcript.pyannote[2101].end |
10189.78034375 |
transcript.pyannote[2102].speaker |
SPEAKER_17 |
transcript.pyannote[2102].start |
10189.83096875 |
transcript.pyannote[2102].end |
10193.03721875 |
transcript.pyannote[2103].speaker |
SPEAKER_17 |
transcript.pyannote[2103].start |
10193.77971875 |
transcript.pyannote[2103].end |
10198.30221875 |
transcript.pyannote[2104].speaker |
SPEAKER_12 |
transcript.pyannote[2104].start |
10194.01596875 |
transcript.pyannote[2104].end |
10194.03284375 |
transcript.pyannote[2105].speaker |
SPEAKER_10 |
transcript.pyannote[2105].start |
10194.03284375 |
transcript.pyannote[2105].end |
10194.62346875 |
transcript.pyannote[2106].speaker |
SPEAKER_12 |
transcript.pyannote[2106].start |
10194.62346875 |
transcript.pyannote[2106].end |
10194.69096875 |
transcript.pyannote[2107].speaker |
SPEAKER_10 |
transcript.pyannote[2107].start |
10198.30221875 |
transcript.pyannote[2107].end |
10198.36971875 |
transcript.pyannote[2108].speaker |
SPEAKER_17 |
transcript.pyannote[2108].start |
10198.60596875 |
transcript.pyannote[2108].end |
10198.67346875 |
transcript.pyannote[2109].speaker |
SPEAKER_10 |
transcript.pyannote[2109].start |
10198.65659375 |
transcript.pyannote[2109].end |
10200.04034375 |
transcript.pyannote[2110].speaker |
SPEAKER_12 |
transcript.pyannote[2110].start |
10198.67346875 |
transcript.pyannote[2110].end |
10200.46221875 |
transcript.pyannote[2111].speaker |
SPEAKER_10 |
transcript.pyannote[2111].start |
10200.46221875 |
transcript.pyannote[2111].end |
10200.52971875 |
transcript.pyannote[2112].speaker |
SPEAKER_12 |
transcript.pyannote[2112].start |
10200.52971875 |
transcript.pyannote[2112].end |
10200.69846875 |
transcript.pyannote[2113].speaker |
SPEAKER_10 |
transcript.pyannote[2113].start |
10200.69846875 |
transcript.pyannote[2113].end |
10200.76596875 |
transcript.pyannote[2114].speaker |
SPEAKER_10 |
transcript.pyannote[2114].start |
10201.33971875 |
transcript.pyannote[2114].end |
10206.72284375 |
transcript.pyannote[2115].speaker |
SPEAKER_12 |
transcript.pyannote[2115].start |
10203.26346875 |
transcript.pyannote[2115].end |
10204.78221875 |
transcript.pyannote[2116].speaker |
SPEAKER_17 |
transcript.pyannote[2116].start |
10204.78221875 |
transcript.pyannote[2116].end |
10204.98471875 |
transcript.pyannote[2117].speaker |
SPEAKER_12 |
transcript.pyannote[2117].start |
10204.98471875 |
transcript.pyannote[2117].end |
10205.03534375 |
transcript.pyannote[2118].speaker |
SPEAKER_17 |
transcript.pyannote[2118].start |
10205.03534375 |
transcript.pyannote[2118].end |
10206.55409375 |
transcript.pyannote[2119].speaker |
SPEAKER_10 |
transcript.pyannote[2119].start |
10207.49909375 |
transcript.pyannote[2119].end |
10207.51596875 |
transcript.pyannote[2120].speaker |
SPEAKER_17 |
transcript.pyannote[2120].start |
10207.51596875 |
transcript.pyannote[2120].end |
10210.89096875 |
transcript.pyannote[2121].speaker |
SPEAKER_17 |
transcript.pyannote[2121].start |
10211.17784375 |
transcript.pyannote[2121].end |
10212.73034375 |
transcript.pyannote[2122].speaker |
SPEAKER_17 |
transcript.pyannote[2122].start |
10212.81471875 |
transcript.pyannote[2122].end |
10214.02971875 |
transcript.pyannote[2123].speaker |
SPEAKER_17 |
transcript.pyannote[2123].start |
10214.28284375 |
transcript.pyannote[2123].end |
10215.54846875 |
transcript.pyannote[2124].speaker |
SPEAKER_17 |
transcript.pyannote[2124].start |
10215.97034375 |
transcript.pyannote[2124].end |
10217.32034375 |
transcript.pyannote[2125].speaker |
SPEAKER_17 |
transcript.pyannote[2125].start |
10217.77596875 |
transcript.pyannote[2125].end |
10221.31971875 |
transcript.pyannote[2126].speaker |
SPEAKER_13 |
transcript.pyannote[2126].start |
10221.38721875 |
transcript.pyannote[2126].end |
10221.64034375 |
transcript.pyannote[2127].speaker |
SPEAKER_17 |
transcript.pyannote[2127].start |
10221.62346875 |
transcript.pyannote[2127].end |
10223.51346875 |
transcript.pyannote[2128].speaker |
SPEAKER_17 |
transcript.pyannote[2128].start |
10223.74971875 |
transcript.pyannote[2128].end |
10224.96471875 |
transcript.pyannote[2129].speaker |
SPEAKER_17 |
transcript.pyannote[2129].start |
10225.30221875 |
transcript.pyannote[2129].end |
10227.02346875 |
transcript.pyannote[2130].speaker |
SPEAKER_17 |
transcript.pyannote[2130].start |
10227.14159375 |
transcript.pyannote[2130].end |
10228.28909375 |
transcript.pyannote[2131].speaker |
SPEAKER_17 |
transcript.pyannote[2131].start |
10228.64346875 |
transcript.pyannote[2131].end |
10230.87096875 |
transcript.pyannote[2132].speaker |
SPEAKER_17 |
transcript.pyannote[2132].start |
10230.97221875 |
transcript.pyannote[2132].end |
10233.35159375 |
transcript.pyannote[2133].speaker |
SPEAKER_13 |
transcript.pyannote[2133].start |
10233.31784375 |
transcript.pyannote[2133].end |
10233.75659375 |
transcript.pyannote[2134].speaker |
SPEAKER_17 |
transcript.pyannote[2134].start |
10233.58784375 |
transcript.pyannote[2134].end |
10237.38471875 |
transcript.pyannote[2135].speaker |
SPEAKER_13 |
transcript.pyannote[2135].start |
10235.88284375 |
transcript.pyannote[2135].end |
10236.50721875 |
transcript.pyannote[2136].speaker |
SPEAKER_13 |
transcript.pyannote[2136].start |
10237.11471875 |
transcript.pyannote[2136].end |
10237.30034375 |
transcript.pyannote[2137].speaker |
SPEAKER_13 |
transcript.pyannote[2137].start |
10237.58721875 |
transcript.pyannote[2137].end |
10238.19471875 |
transcript.pyannote[2138].speaker |
SPEAKER_17 |
transcript.pyannote[2138].start |
10238.38034375 |
transcript.pyannote[2138].end |
10239.34221875 |
transcript.pyannote[2139].speaker |
SPEAKER_17 |
transcript.pyannote[2139].start |
10239.59534375 |
transcript.pyannote[2139].end |
10240.81034375 |
transcript.pyannote[2140].speaker |
SPEAKER_17 |
transcript.pyannote[2140].start |
10240.91159375 |
transcript.pyannote[2140].end |
10241.99159375 |
transcript.pyannote[2141].speaker |
SPEAKER_17 |
transcript.pyannote[2141].start |
10242.26159375 |
transcript.pyannote[2141].end |
10243.78034375 |
transcript.pyannote[2142].speaker |
SPEAKER_17 |
transcript.pyannote[2142].start |
10243.83096875 |
transcript.pyannote[2142].end |
10247.93159375 |
transcript.pyannote[2143].speaker |
SPEAKER_17 |
transcript.pyannote[2143].start |
10248.25221875 |
transcript.pyannote[2143].end |
10251.37409375 |
transcript.pyannote[2144].speaker |
SPEAKER_17 |
transcript.pyannote[2144].start |
10251.76221875 |
transcript.pyannote[2144].end |
10252.58909375 |
transcript.pyannote[2145].speaker |
SPEAKER_17 |
transcript.pyannote[2145].start |
10252.74096875 |
transcript.pyannote[2145].end |
10257.34784375 |
transcript.pyannote[2146].speaker |
SPEAKER_17 |
transcript.pyannote[2146].start |
10257.53346875 |
transcript.pyannote[2146].end |
10263.92909375 |
transcript.pyannote[2147].speaker |
SPEAKER_17 |
transcript.pyannote[2147].start |
10264.16534375 |
transcript.pyannote[2147].end |
10265.07659375 |
transcript.pyannote[2148].speaker |
SPEAKER_17 |
transcript.pyannote[2148].start |
10265.63346875 |
transcript.pyannote[2148].end |
10268.87346875 |
transcript.pyannote[2149].speaker |
SPEAKER_17 |
transcript.pyannote[2149].start |
10269.19409375 |
transcript.pyannote[2149].end |
10270.40909375 |
transcript.pyannote[2150].speaker |
SPEAKER_17 |
transcript.pyannote[2150].start |
10270.74659375 |
transcript.pyannote[2150].end |
10271.80971875 |
transcript.pyannote[2151].speaker |
SPEAKER_17 |
transcript.pyannote[2151].start |
10272.33284375 |
transcript.pyannote[2151].end |
10273.73346875 |
transcript.pyannote[2152].speaker |
SPEAKER_17 |
transcript.pyannote[2152].start |
10274.13846875 |
transcript.pyannote[2152].end |
10274.77971875 |
transcript.pyannote[2153].speaker |
SPEAKER_17 |
transcript.pyannote[2153].start |
10275.30284375 |
transcript.pyannote[2153].end |
10276.53471875 |
transcript.pyannote[2154].speaker |
SPEAKER_17 |
transcript.pyannote[2154].start |
10276.92284375 |
transcript.pyannote[2154].end |
10278.77909375 |
transcript.pyannote[2155].speaker |
SPEAKER_17 |
transcript.pyannote[2155].start |
10279.09971875 |
transcript.pyannote[2155].end |
10280.83784375 |
transcript.pyannote[2156].speaker |
SPEAKER_17 |
transcript.pyannote[2156].start |
10281.12471875 |
transcript.pyannote[2156].end |
10282.55909375 |
transcript.pyannote[2157].speaker |
SPEAKER_17 |
transcript.pyannote[2157].start |
10282.91346875 |
transcript.pyannote[2157].end |
10284.16221875 |
transcript.pyannote[2158].speaker |
SPEAKER_17 |
transcript.pyannote[2158].start |
10284.44909375 |
transcript.pyannote[2158].end |
10285.69784375 |
transcript.pyannote[2159].speaker |
SPEAKER_17 |
transcript.pyannote[2159].start |
10286.08596875 |
transcript.pyannote[2159].end |
10287.89159375 |
transcript.pyannote[2160].speaker |
SPEAKER_17 |
transcript.pyannote[2160].start |
10288.09409375 |
transcript.pyannote[2160].end |
10289.54534375 |
transcript.pyannote[2161].speaker |
SPEAKER_17 |
transcript.pyannote[2161].start |
10289.86596875 |
transcript.pyannote[2161].end |
10291.36784375 |
transcript.pyannote[2162].speaker |
SPEAKER_17 |
transcript.pyannote[2162].start |
10291.51971875 |
transcript.pyannote[2162].end |
10295.16471875 |
transcript.pyannote[2163].speaker |
SPEAKER_17 |
transcript.pyannote[2163].start |
10295.19846875 |
transcript.pyannote[2163].end |
10297.34159375 |
transcript.pyannote[2164].speaker |
SPEAKER_10 |
transcript.pyannote[2164].start |
10297.76346875 |
transcript.pyannote[2164].end |
10300.95284375 |
transcript.pyannote[2165].speaker |
SPEAKER_17 |
transcript.pyannote[2165].start |
10300.05846875 |
transcript.pyannote[2165].end |
10308.32721875 |
transcript.pyannote[2166].speaker |
SPEAKER_10 |
transcript.pyannote[2166].start |
10308.32721875 |
transcript.pyannote[2166].end |
10315.27971875 |
transcript.pyannote[2167].speaker |
SPEAKER_17 |
transcript.pyannote[2167].start |
10308.39471875 |
transcript.pyannote[2167].end |
10308.69846875 |
transcript.pyannote[2168].speaker |
SPEAKER_17 |
transcript.pyannote[2168].start |
10314.18284375 |
transcript.pyannote[2168].end |
10315.22909375 |
transcript.pyannote[2169].speaker |
SPEAKER_17 |
transcript.pyannote[2169].start |
10315.27971875 |
transcript.pyannote[2169].end |
10315.39784375 |
transcript.pyannote[2170].speaker |
SPEAKER_10 |
transcript.pyannote[2170].start |
10315.39784375 |
transcript.pyannote[2170].end |
10316.03909375 |
transcript.pyannote[2171].speaker |
SPEAKER_17 |
transcript.pyannote[2171].start |
10316.03909375 |
transcript.pyannote[2171].end |
10316.69721875 |
transcript.pyannote[2172].speaker |
SPEAKER_10 |
transcript.pyannote[2172].start |
10316.69721875 |
transcript.pyannote[2172].end |
10317.03471875 |
transcript.pyannote[2173].speaker |
SPEAKER_17 |
transcript.pyannote[2173].start |
10316.71409375 |
transcript.pyannote[2173].end |
10317.67596875 |
transcript.pyannote[2174].speaker |
SPEAKER_17 |
transcript.pyannote[2174].start |
10317.96284375 |
transcript.pyannote[2174].end |
10322.19846875 |
transcript.pyannote[2175].speaker |
SPEAKER_17 |
transcript.pyannote[2175].start |
10322.33346875 |
transcript.pyannote[2175].end |
10325.86034375 |
transcript.pyannote[2176].speaker |
SPEAKER_17 |
transcript.pyannote[2176].start |
10326.45096875 |
transcript.pyannote[2176].end |
10326.94034375 |
transcript.pyannote[2177].speaker |
SPEAKER_17 |
transcript.pyannote[2177].start |
10327.17659375 |
transcript.pyannote[2177].end |
10328.35784375 |
transcript.pyannote[2178].speaker |
SPEAKER_17 |
transcript.pyannote[2178].start |
10328.56034375 |
transcript.pyannote[2178].end |
10333.97721875 |
transcript.pyannote[2179].speaker |
SPEAKER_10 |
transcript.pyannote[2179].start |
10333.97721875 |
transcript.pyannote[2179].end |
10334.55096875 |
transcript.pyannote[2180].speaker |
SPEAKER_10 |
transcript.pyannote[2180].start |
10334.93909375 |
transcript.pyannote[2180].end |
10341.68909375 |
transcript.pyannote[2181].speaker |
SPEAKER_07 |
transcript.pyannote[2181].start |
10340.69346875 |
transcript.pyannote[2181].end |
10345.06409375 |
transcript.pyannote[2182].speaker |
SPEAKER_10 |
transcript.pyannote[2182].start |
10342.12784375 |
transcript.pyannote[2182].end |
10350.97034375 |
transcript.pyannote[2183].speaker |
SPEAKER_07 |
transcript.pyannote[2183].start |
10345.89096875 |
transcript.pyannote[2183].end |
10345.97534375 |
transcript.pyannote[2184].speaker |
SPEAKER_17 |
transcript.pyannote[2184].start |
10345.97534375 |
transcript.pyannote[2184].end |
10347.29159375 |
transcript.pyannote[2185].speaker |
SPEAKER_17 |
transcript.pyannote[2185].start |
10348.25346875 |
transcript.pyannote[2185].end |
10356.18471875 |
transcript.pyannote[2186].speaker |
SPEAKER_07 |
transcript.pyannote[2186].start |
10370.76471875 |
transcript.pyannote[2186].end |
10371.06846875 |
transcript.pyannote[2187].speaker |
SPEAKER_07 |
transcript.pyannote[2187].start |
10371.60846875 |
transcript.pyannote[2187].end |
10371.65909375 |
transcript.pyannote[2188].speaker |
SPEAKER_13 |
transcript.pyannote[2188].start |
10371.65909375 |
transcript.pyannote[2188].end |
10371.70971875 |
transcript.pyannote[2189].speaker |
SPEAKER_07 |
transcript.pyannote[2189].start |
10371.70971875 |
transcript.pyannote[2189].end |
10371.72659375 |
transcript.pyannote[2190].speaker |
SPEAKER_13 |
transcript.pyannote[2190].start |
10371.72659375 |
transcript.pyannote[2190].end |
10371.76034375 |
transcript.pyannote[2191].speaker |
SPEAKER_07 |
transcript.pyannote[2191].start |
10371.76034375 |
transcript.pyannote[2191].end |
10372.53659375 |
transcript.pyannote[2192].speaker |
SPEAKER_13 |
transcript.pyannote[2192].start |
10371.86159375 |
transcript.pyannote[2192].end |
10372.14846875 |
transcript.pyannote[2193].speaker |
SPEAKER_13 |
transcript.pyannote[2193].start |
10372.53659375 |
transcript.pyannote[2193].end |
10372.55346875 |
transcript.pyannote[2194].speaker |
SPEAKER_17 |
transcript.pyannote[2194].start |
10372.55346875 |
transcript.pyannote[2194].end |
10372.84034375 |
transcript.pyannote[2195].speaker |
SPEAKER_13 |
transcript.pyannote[2195].start |
10372.84034375 |
transcript.pyannote[2195].end |
10373.00909375 |
transcript.pyannote[2196].speaker |
SPEAKER_07 |
transcript.pyannote[2196].start |
10373.53221875 |
transcript.pyannote[2196].end |
10375.01721875 |
transcript.pyannote[2197].speaker |
SPEAKER_07 |
transcript.pyannote[2197].start |
10375.23659375 |
transcript.pyannote[2197].end |
10377.41346875 |
transcript.pyannote[2198].speaker |
SPEAKER_09 |
transcript.pyannote[2198].start |
10384.73721875 |
transcript.pyannote[2198].end |
10386.07034375 |
transcript.pyannote[2199].speaker |
SPEAKER_09 |
transcript.pyannote[2199].start |
10388.51721875 |
transcript.pyannote[2199].end |
10389.02346875 |
transcript.pyannote[2200].speaker |
SPEAKER_09 |
transcript.pyannote[2200].start |
10389.31034375 |
transcript.pyannote[2200].end |
10389.74909375 |
transcript.pyannote[2201].speaker |
SPEAKER_09 |
transcript.pyannote[2201].start |
10390.89659375 |
transcript.pyannote[2201].end |
10393.29284375 |
transcript.pyannote[2202].speaker |
SPEAKER_09 |
transcript.pyannote[2202].start |
10393.98471875 |
transcript.pyannote[2202].end |
10395.06471875 |
transcript.pyannote[2203].speaker |
SPEAKER_09 |
transcript.pyannote[2203].start |
10396.17846875 |
transcript.pyannote[2203].end |
10397.20784375 |
transcript.pyannote[2204].speaker |
SPEAKER_09 |
transcript.pyannote[2204].start |
10398.67596875 |
transcript.pyannote[2204].end |
10399.57034375 |
transcript.pyannote[2205].speaker |
SPEAKER_09 |
transcript.pyannote[2205].start |
10400.22846875 |
transcript.pyannote[2205].end |
10401.56159375 |
transcript.pyannote[2206].speaker |
SPEAKER_00 |
transcript.pyannote[2206].start |
10401.03846875 |
transcript.pyannote[2206].end |
10401.49409375 |
transcript.pyannote[2207].speaker |
SPEAKER_09 |
transcript.pyannote[2207].start |
10401.86534375 |
transcript.pyannote[2207].end |
10402.48971875 |
transcript.pyannote[2208].speaker |
SPEAKER_09 |
transcript.pyannote[2208].start |
10403.31659375 |
transcript.pyannote[2208].end |
10426.48596875 |
transcript.pyannote[2209].speaker |
SPEAKER_10 |
transcript.pyannote[2209].start |
10426.77284375 |
transcript.pyannote[2209].end |
10432.08846875 |
transcript.pyannote[2210].speaker |
SPEAKER_10 |
transcript.pyannote[2210].start |
10433.13471875 |
transcript.pyannote[2210].end |
10436.96534375 |
transcript.pyannote[2211].speaker |
SPEAKER_10 |
transcript.pyannote[2211].start |
10437.35346875 |
transcript.pyannote[2211].end |
10438.65284375 |
transcript.pyannote[2212].speaker |
SPEAKER_10 |
transcript.pyannote[2212].start |
10439.04096875 |
transcript.pyannote[2212].end |
10440.66096875 |
transcript.pyannote[2213].speaker |
SPEAKER_10 |
transcript.pyannote[2213].start |
10440.76221875 |
transcript.pyannote[2213].end |
10444.64346875 |
transcript.pyannote[2214].speaker |
SPEAKER_10 |
transcript.pyannote[2214].start |
10444.87971875 |
transcript.pyannote[2214].end |
10448.72721875 |
transcript.pyannote[2215].speaker |
SPEAKER_09 |
transcript.pyannote[2215].start |
10448.72721875 |
transcript.pyannote[2215].end |
10460.01659375 |
transcript.pyannote[2216].speaker |
SPEAKER_10 |
transcript.pyannote[2216].start |
10451.78159375 |
transcript.pyannote[2216].end |
10451.96721875 |
transcript.pyannote[2217].speaker |
SPEAKER_09 |
transcript.pyannote[2217].start |
10460.11784375 |
transcript.pyannote[2217].end |
10498.01909375 |
transcript.pyannote[2218].speaker |
SPEAKER_09 |
transcript.pyannote[2218].start |
10498.52534375 |
transcript.pyannote[2218].end |
10520.34471875 |
transcript.pyannote[2219].speaker |
SPEAKER_10 |
transcript.pyannote[2219].start |
10520.63159375 |
transcript.pyannote[2219].end |
10527.46596875 |
transcript.pyannote[2220].speaker |
SPEAKER_09 |
transcript.pyannote[2220].start |
10528.02284375 |
transcript.pyannote[2220].end |
10532.56221875 |
transcript.pyannote[2221].speaker |
SPEAKER_10 |
transcript.pyannote[2221].start |
10532.73096875 |
transcript.pyannote[2221].end |
10536.74721875 |
transcript.pyannote[2222].speaker |
SPEAKER_09 |
transcript.pyannote[2222].start |
10536.46034375 |
transcript.pyannote[2222].end |
10537.42221875 |
transcript.pyannote[2223].speaker |
SPEAKER_10 |
transcript.pyannote[2223].start |
10537.42221875 |
transcript.pyannote[2223].end |
10537.96221875 |
transcript.pyannote[2224].speaker |
SPEAKER_09 |
transcript.pyannote[2224].start |
10537.91159375 |
transcript.pyannote[2224].end |
10557.90846875 |
transcript.pyannote[2225].speaker |
SPEAKER_10 |
transcript.pyannote[2225].start |
10559.22471875 |
transcript.pyannote[2225].end |
10571.10471875 |
transcript.pyannote[2226].speaker |
SPEAKER_09 |
transcript.pyannote[2226].start |
10570.53096875 |
transcript.pyannote[2226].end |
10581.90471875 |
transcript.pyannote[2227].speaker |
SPEAKER_09 |
transcript.pyannote[2227].start |
10582.07346875 |
transcript.pyannote[2227].end |
10582.78221875 |
transcript.pyannote[2228].speaker |
SPEAKER_09 |
transcript.pyannote[2228].start |
10583.00159375 |
transcript.pyannote[2228].end |
10602.32346875 |
transcript.pyannote[2229].speaker |
SPEAKER_10 |
transcript.pyannote[2229].start |
10601.37846875 |
transcript.pyannote[2229].end |
10606.18784375 |
transcript.pyannote[2230].speaker |
SPEAKER_09 |
transcript.pyannote[2230].start |
10605.81659375 |
transcript.pyannote[2230].end |
10660.27221875 |
transcript.pyannote[2231].speaker |
SPEAKER_09 |
transcript.pyannote[2231].start |
10660.52534375 |
transcript.pyannote[2231].end |
10661.80784375 |
transcript.pyannote[2232].speaker |
SPEAKER_10 |
transcript.pyannote[2232].start |
10661.80784375 |
transcript.pyannote[2232].end |
10683.74534375 |
transcript.pyannote[2233].speaker |
SPEAKER_09 |
transcript.pyannote[2233].start |
10682.98596875 |
transcript.pyannote[2233].end |
10703.23596875 |
transcript.pyannote[2234].speaker |
SPEAKER_10 |
transcript.pyannote[2234].start |
10703.23596875 |
transcript.pyannote[2234].end |
10704.97409375 |
transcript.pyannote[2235].speaker |
SPEAKER_09 |
transcript.pyannote[2235].start |
10704.97409375 |
transcript.pyannote[2235].end |
10717.83284375 |
transcript.pyannote[2236].speaker |
SPEAKER_10 |
transcript.pyannote[2236].start |
10718.47409375 |
transcript.pyannote[2236].end |
10720.92096875 |
transcript.pyannote[2237].speaker |
SPEAKER_10 |
transcript.pyannote[2237].start |
10721.32596875 |
transcript.pyannote[2237].end |
10724.65034375 |
transcript.pyannote[2238].speaker |
SPEAKER_09 |
transcript.pyannote[2238].start |
10721.39346875 |
transcript.pyannote[2238].end |
10722.33846875 |
transcript.pyannote[2239].speaker |
SPEAKER_10 |
transcript.pyannote[2239].start |
10724.75159375 |
transcript.pyannote[2239].end |
10727.14784375 |
transcript.pyannote[2240].speaker |
SPEAKER_09 |
transcript.pyannote[2240].start |
10725.05534375 |
transcript.pyannote[2240].end |
10725.37596875 |
transcript.pyannote[2241].speaker |
SPEAKER_10 |
transcript.pyannote[2241].start |
10728.21096875 |
transcript.pyannote[2241].end |
10730.87721875 |
transcript.pyannote[2242].speaker |
SPEAKER_09 |
transcript.pyannote[2242].start |
10732.02471875 |
transcript.pyannote[2242].end |
10737.34034375 |
transcript.pyannote[2243].speaker |
SPEAKER_09 |
transcript.pyannote[2243].start |
10737.69471875 |
transcript.pyannote[2243].end |
10742.43659375 |
transcript.pyannote[2244].speaker |
SPEAKER_10 |
transcript.pyannote[2244].start |
10742.60534375 |
transcript.pyannote[2244].end |
10752.89909375 |
transcript.pyannote[2245].speaker |
SPEAKER_10 |
transcript.pyannote[2245].start |
10753.50659375 |
transcript.pyannote[2245].end |
10758.41721875 |
transcript.pyannote[2246].speaker |
SPEAKER_09 |
transcript.pyannote[2246].start |
10757.79284375 |
transcript.pyannote[2246].end |
10773.68909375 |
transcript.pyannote[2247].speaker |
SPEAKER_13 |
transcript.pyannote[2247].start |
10764.28971875 |
transcript.pyannote[2247].end |
10764.52596875 |
transcript.pyannote[2248].speaker |
SPEAKER_10 |
transcript.pyannote[2248].start |
10764.52596875 |
transcript.pyannote[2248].end |
10764.55971875 |
transcript.pyannote[2249].speaker |
SPEAKER_13 |
transcript.pyannote[2249].start |
10764.55971875 |
transcript.pyannote[2249].end |
10764.71159375 |
transcript.pyannote[2250].speaker |
SPEAKER_10 |
transcript.pyannote[2250].start |
10773.68909375 |
transcript.pyannote[2250].end |
10791.96471875 |
transcript.pyannote[2251].speaker |
SPEAKER_09 |
transcript.pyannote[2251].start |
10788.50534375 |
transcript.pyannote[2251].end |
10791.07034375 |
transcript.pyannote[2252].speaker |
SPEAKER_09 |
transcript.pyannote[2252].start |
10791.25596875 |
transcript.pyannote[2252].end |
10794.64784375 |
transcript.pyannote[2253].speaker |
SPEAKER_10 |
transcript.pyannote[2253].start |
10796.09909375 |
transcript.pyannote[2253].end |
10802.96721875 |
transcript.pyannote[2254].speaker |
SPEAKER_09 |
transcript.pyannote[2254].start |
10799.20409375 |
transcript.pyannote[2254].end |
10807.84409375 |
transcript.pyannote[2255].speaker |
SPEAKER_10 |
transcript.pyannote[2255].start |
10808.70471875 |
transcript.pyannote[2255].end |
10810.96596875 |
transcript.pyannote[2256].speaker |
SPEAKER_09 |
transcript.pyannote[2256].start |
10808.80596875 |
transcript.pyannote[2256].end |
10808.99159375 |
transcript.pyannote[2257].speaker |
SPEAKER_09 |
transcript.pyannote[2257].start |
10810.81409375 |
transcript.pyannote[2257].end |
10811.06721875 |
transcript.pyannote[2258].speaker |
SPEAKER_09 |
transcript.pyannote[2258].start |
10811.23596875 |
transcript.pyannote[2258].end |
10811.60721875 |
transcript.pyannote[2259].speaker |
SPEAKER_09 |
transcript.pyannote[2259].start |
10812.14721875 |
transcript.pyannote[2259].end |
10814.32409375 |
transcript.pyannote[2260].speaker |
SPEAKER_10 |
transcript.pyannote[2260].start |
10815.65721875 |
transcript.pyannote[2260].end |
10819.26846875 |
transcript.pyannote[2261].speaker |
SPEAKER_09 |
transcript.pyannote[2261].start |
10818.03659375 |
transcript.pyannote[2261].end |
10819.23471875 |
transcript.pyannote[2262].speaker |
SPEAKER_10 |
transcript.pyannote[2262].start |
10819.60596875 |
transcript.pyannote[2262].end |
10821.36096875 |
transcript.pyannote[2263].speaker |
SPEAKER_09 |
transcript.pyannote[2263].start |
10819.69034375 |
transcript.pyannote[2263].end |
10820.06159375 |
transcript.pyannote[2264].speaker |
SPEAKER_09 |
transcript.pyannote[2264].start |
10821.05721875 |
transcript.pyannote[2264].end |
10823.09909375 |
transcript.pyannote[2265].speaker |
SPEAKER_10 |
transcript.pyannote[2265].start |
10823.74034375 |
transcript.pyannote[2265].end |
10830.32159375 |
transcript.pyannote[2266].speaker |
SPEAKER_09 |
transcript.pyannote[2266].start |
10823.79096875 |
transcript.pyannote[2266].end |
10826.81159375 |
transcript.pyannote[2267].speaker |
SPEAKER_10 |
transcript.pyannote[2267].start |
10830.33846875 |
transcript.pyannote[2267].end |
10835.02971875 |
transcript.pyannote[2268].speaker |
SPEAKER_09 |
transcript.pyannote[2268].start |
10830.42284375 |
transcript.pyannote[2268].end |
10831.97534375 |
transcript.pyannote[2269].speaker |
SPEAKER_09 |
transcript.pyannote[2269].start |
10834.57409375 |
transcript.pyannote[2269].end |
10836.12659375 |
transcript.pyannote[2270].speaker |
SPEAKER_10 |
transcript.pyannote[2270].start |
10837.00409375 |
transcript.pyannote[2270].end |
10838.37096875 |
transcript.pyannote[2271].speaker |
SPEAKER_10 |
transcript.pyannote[2271].start |
10839.16409375 |
transcript.pyannote[2271].end |
10840.49721875 |
transcript.pyannote[2272].speaker |
SPEAKER_09 |
transcript.pyannote[2272].start |
10840.05846875 |
transcript.pyannote[2272].end |
10840.37909375 |
transcript.pyannote[2273].speaker |
SPEAKER_09 |
transcript.pyannote[2273].start |
10840.49721875 |
transcript.pyannote[2273].end |
10842.55596875 |
transcript.pyannote[2274].speaker |
SPEAKER_09 |
transcript.pyannote[2274].start |
10843.53471875 |
transcript.pyannote[2274].end |
10844.27721875 |
transcript.pyannote[2275].speaker |
SPEAKER_10 |
transcript.pyannote[2275].start |
10844.27721875 |
transcript.pyannote[2275].end |
10844.37846875 |
transcript.pyannote[2276].speaker |
SPEAKER_09 |
transcript.pyannote[2276].start |
10844.37846875 |
transcript.pyannote[2276].end |
10844.39534375 |
transcript.pyannote[2277].speaker |
SPEAKER_10 |
transcript.pyannote[2277].start |
10844.39534375 |
transcript.pyannote[2277].end |
10844.44596875 |
transcript.pyannote[2278].speaker |
SPEAKER_09 |
transcript.pyannote[2278].start |
10844.44596875 |
transcript.pyannote[2278].end |
10844.46284375 |
transcript.pyannote[2279].speaker |
SPEAKER_09 |
transcript.pyannote[2279].start |
10844.73284375 |
transcript.pyannote[2279].end |
10848.86721875 |
transcript.pyannote[2280].speaker |
SPEAKER_10 |
transcript.pyannote[2280].start |
10848.86721875 |
transcript.pyannote[2280].end |
10848.91784375 |
transcript.pyannote[2281].speaker |
SPEAKER_09 |
transcript.pyannote[2281].start |
10848.91784375 |
transcript.pyannote[2281].end |
10849.05284375 |
transcript.pyannote[2282].speaker |
SPEAKER_10 |
transcript.pyannote[2282].start |
10849.54221875 |
transcript.pyannote[2282].end |
10851.43221875 |
transcript.pyannote[2283].speaker |
SPEAKER_10 |
transcript.pyannote[2283].start |
10851.95534375 |
transcript.pyannote[2283].end |
10856.35971875 |
transcript.pyannote[2284].speaker |
SPEAKER_09 |
transcript.pyannote[2284].start |
10856.08971875 |
transcript.pyannote[2284].end |
10856.12346875 |
transcript.pyannote[2285].speaker |
SPEAKER_09 |
transcript.pyannote[2285].start |
10856.14034375 |
transcript.pyannote[2285].end |
10856.27534375 |
transcript.pyannote[2286].speaker |
SPEAKER_09 |
transcript.pyannote[2286].start |
10856.35971875 |
transcript.pyannote[2286].end |
10862.21534375 |
transcript.pyannote[2287].speaker |
SPEAKER_10 |
transcript.pyannote[2287].start |
10862.21534375 |
transcript.pyannote[2287].end |
10871.04096875 |
transcript.pyannote[2288].speaker |
SPEAKER_09 |
transcript.pyannote[2288].start |
10870.26471875 |
transcript.pyannote[2288].end |
10873.50471875 |
transcript.pyannote[2289].speaker |
SPEAKER_10 |
transcript.pyannote[2289].start |
10873.50471875 |
transcript.pyannote[2289].end |
10873.84221875 |
transcript.pyannote[2290].speaker |
SPEAKER_09 |
transcript.pyannote[2290].start |
10873.84221875 |
transcript.pyannote[2290].end |
10877.65596875 |
transcript.pyannote[2291].speaker |
SPEAKER_10 |
transcript.pyannote[2291].start |
10873.90971875 |
transcript.pyannote[2291].end |
10874.50034375 |
transcript.pyannote[2292].speaker |
SPEAKER_10 |
transcript.pyannote[2292].start |
10876.05284375 |
transcript.pyannote[2292].end |
10876.55909375 |
transcript.pyannote[2293].speaker |
SPEAKER_10 |
transcript.pyannote[2293].start |
10876.57596875 |
transcript.pyannote[2293].end |
10882.83659375 |
transcript.pyannote[2294].speaker |
SPEAKER_09 |
transcript.pyannote[2294].start |
10883.73096875 |
transcript.pyannote[2294].end |
10888.15221875 |
transcript.pyannote[2295].speaker |
SPEAKER_10 |
transcript.pyannote[2295].start |
10888.27034375 |
transcript.pyannote[2295].end |
10890.12659375 |
transcript.pyannote[2296].speaker |
SPEAKER_09 |
transcript.pyannote[2296].start |
10890.12659375 |
transcript.pyannote[2296].end |
10890.32909375 |
transcript.pyannote[2297].speaker |
SPEAKER_10 |
transcript.pyannote[2297].start |
10890.32909375 |
transcript.pyannote[2297].end |
10890.71721875 |
transcript.pyannote[2298].speaker |
SPEAKER_09 |
transcript.pyannote[2298].start |
10890.71721875 |
transcript.pyannote[2298].end |
10890.80159375 |
transcript.pyannote[2299].speaker |
SPEAKER_10 |
transcript.pyannote[2299].start |
10890.80159375 |
transcript.pyannote[2299].end |
10894.29471875 |
transcript.pyannote[2300].speaker |
SPEAKER_09 |
transcript.pyannote[2300].start |
10892.67471875 |
transcript.pyannote[2300].end |
10894.96971875 |
transcript.pyannote[2301].speaker |
SPEAKER_10 |
transcript.pyannote[2301].start |
10894.51409375 |
transcript.pyannote[2301].end |
10894.54784375 |
transcript.pyannote[2302].speaker |
SPEAKER_10 |
transcript.pyannote[2302].start |
10894.96971875 |
transcript.pyannote[2302].end |
10894.98659375 |
transcript.pyannote[2303].speaker |
SPEAKER_09 |
transcript.pyannote[2303].start |
10894.98659375 |
transcript.pyannote[2303].end |
10895.20596875 |
transcript.pyannote[2304].speaker |
SPEAKER_10 |
transcript.pyannote[2304].start |
10895.20596875 |
transcript.pyannote[2304].end |
10895.22284375 |
transcript.pyannote[2305].speaker |
SPEAKER_09 |
transcript.pyannote[2305].start |
10895.22284375 |
transcript.pyannote[2305].end |
10895.23971875 |
transcript.pyannote[2306].speaker |
SPEAKER_10 |
transcript.pyannote[2306].start |
10895.23971875 |
transcript.pyannote[2306].end |
10895.29034375 |
transcript.pyannote[2307].speaker |
SPEAKER_09 |
transcript.pyannote[2307].start |
10895.29034375 |
transcript.pyannote[2307].end |
10895.30721875 |
transcript.pyannote[2308].speaker |
SPEAKER_10 |
transcript.pyannote[2308].start |
10895.30721875 |
transcript.pyannote[2308].end |
10897.78784375 |
transcript.pyannote[2309].speaker |
SPEAKER_09 |
transcript.pyannote[2309].start |
10895.32409375 |
transcript.pyannote[2309].end |
10896.89346875 |
transcript.pyannote[2310].speaker |
SPEAKER_09 |
transcript.pyannote[2310].start |
10897.24784375 |
transcript.pyannote[2310].end |
10901.58471875 |
transcript.pyannote[2311].speaker |
SPEAKER_10 |
transcript.pyannote[2311].start |
10898.86784375 |
transcript.pyannote[2311].end |
10910.79846875 |
transcript.pyannote[2312].speaker |
SPEAKER_09 |
transcript.pyannote[2312].start |
10907.86221875 |
transcript.pyannote[2312].end |
10921.02471875 |
transcript.pyannote[2313].speaker |
SPEAKER_09 |
transcript.pyannote[2313].start |
10922.00346875 |
transcript.pyannote[2313].end |
10922.71221875 |
transcript.pyannote[2314].speaker |
SPEAKER_09 |
transcript.pyannote[2314].start |
10923.43784375 |
transcript.pyannote[2314].end |
10926.76221875 |
transcript.pyannote[2315].speaker |
SPEAKER_09 |
transcript.pyannote[2315].start |
10927.15034375 |
transcript.pyannote[2315].end |
10932.75284375 |
transcript.pyannote[2316].speaker |
SPEAKER_10 |
transcript.pyannote[2316].start |
10933.42784375 |
transcript.pyannote[2316].end |
10941.78096875 |
transcript.pyannote[2317].speaker |
SPEAKER_09 |
transcript.pyannote[2317].start |
10940.98784375 |
transcript.pyannote[2317].end |
10942.11846875 |
transcript.pyannote[2318].speaker |
SPEAKER_10 |
transcript.pyannote[2318].start |
10942.11846875 |
transcript.pyannote[2318].end |
10942.13534375 |
transcript.pyannote[2319].speaker |
SPEAKER_10 |
transcript.pyannote[2319].start |
10942.25346875 |
transcript.pyannote[2319].end |
10946.28659375 |
transcript.pyannote[2320].speaker |
SPEAKER_09 |
transcript.pyannote[2320].start |
10945.98284375 |
transcript.pyannote[2320].end |
10947.88971875 |
transcript.pyannote[2321].speaker |
SPEAKER_10 |
transcript.pyannote[2321].start |
10947.55221875 |
transcript.pyannote[2321].end |
10949.35784375 |
transcript.pyannote[2322].speaker |
SPEAKER_09 |
transcript.pyannote[2322].start |
10949.18909375 |
transcript.pyannote[2322].end |
10950.82596875 |
transcript.pyannote[2323].speaker |
SPEAKER_10 |
transcript.pyannote[2323].start |
10950.40409375 |
transcript.pyannote[2323].end |
10953.23909375 |
transcript.pyannote[2324].speaker |
SPEAKER_09 |
transcript.pyannote[2324].start |
10953.61034375 |
transcript.pyannote[2324].end |
10954.38659375 |
transcript.pyannote[2325].speaker |
SPEAKER_09 |
transcript.pyannote[2325].start |
10954.82534375 |
transcript.pyannote[2325].end |
10968.46034375 |
transcript.pyannote[2326].speaker |
SPEAKER_09 |
transcript.pyannote[2326].start |
10969.06784375 |
transcript.pyannote[2326].end |
10976.91471875 |
transcript.pyannote[2327].speaker |
SPEAKER_10 |
transcript.pyannote[2327].start |
10976.91471875 |
transcript.pyannote[2327].end |
10986.09471875 |
transcript.pyannote[2328].speaker |
SPEAKER_00 |
transcript.pyannote[2328].start |
10984.57596875 |
transcript.pyannote[2328].end |
10984.62659375 |
transcript.pyannote[2329].speaker |
SPEAKER_07 |
transcript.pyannote[2329].start |
10984.62659375 |
transcript.pyannote[2329].end |
10985.36909375 |
transcript.pyannote[2330].speaker |
SPEAKER_00 |
transcript.pyannote[2330].start |
10985.36909375 |
transcript.pyannote[2330].end |
10985.40284375 |
transcript.pyannote[2331].speaker |
SPEAKER_07 |
transcript.pyannote[2331].start |
10986.09471875 |
transcript.pyannote[2331].end |
10986.38159375 |
transcript.pyannote[2332].speaker |
SPEAKER_10 |
transcript.pyannote[2332].start |
10986.87096875 |
transcript.pyannote[2332].end |
10987.24221875 |
transcript.pyannote[2333].speaker |
SPEAKER_07 |
transcript.pyannote[2333].start |
10991.17409375 |
transcript.pyannote[2333].end |
10992.00096875 |
transcript.pyannote[2334].speaker |
SPEAKER_07 |
transcript.pyannote[2334].start |
10992.60846875 |
transcript.pyannote[2334].end |
10995.02159375 |
transcript.pyannote[2335].speaker |
SPEAKER_11 |
transcript.pyannote[2335].start |
11001.23159375 |
transcript.pyannote[2335].end |
11001.78846875 |
transcript.pyannote[2336].speaker |
SPEAKER_19 |
transcript.pyannote[2336].start |
11003.42534375 |
transcript.pyannote[2336].end |
11007.37409375 |
transcript.pyannote[2337].speaker |
SPEAKER_07 |
transcript.pyannote[2337].start |
11010.09096875 |
transcript.pyannote[2337].end |
11010.61409375 |
transcript.pyannote[2338].speaker |
SPEAKER_19 |
transcript.pyannote[2338].start |
11016.84096875 |
transcript.pyannote[2338].end |
11017.41471875 |
transcript.pyannote[2339].speaker |
SPEAKER_19 |
transcript.pyannote[2339].start |
11021.21159375 |
transcript.pyannote[2339].end |
11022.05534375 |
transcript.pyannote[2340].speaker |
SPEAKER_19 |
transcript.pyannote[2340].start |
11022.94971875 |
transcript.pyannote[2340].end |
11023.62471875 |
transcript.pyannote[2341].speaker |
SPEAKER_19 |
transcript.pyannote[2341].start |
11024.51909375 |
transcript.pyannote[2341].end |
11027.40471875 |
transcript.pyannote[2342].speaker |
SPEAKER_19 |
transcript.pyannote[2342].start |
11028.21471875 |
transcript.pyannote[2342].end |
11030.22284375 |
transcript.pyannote[2343].speaker |
SPEAKER_19 |
transcript.pyannote[2343].start |
11031.20159375 |
transcript.pyannote[2343].end |
11033.05784375 |
transcript.pyannote[2344].speaker |
SPEAKER_19 |
transcript.pyannote[2344].start |
11033.27721875 |
transcript.pyannote[2344].end |
11033.91846875 |
transcript.pyannote[2345].speaker |
SPEAKER_19 |
transcript.pyannote[2345].start |
11034.62721875 |
transcript.pyannote[2345].end |
11035.63971875 |
transcript.pyannote[2346].speaker |
SPEAKER_19 |
transcript.pyannote[2346].start |
11036.43284375 |
transcript.pyannote[2346].end |
11039.36909375 |
transcript.pyannote[2347].speaker |
SPEAKER_19 |
transcript.pyannote[2347].start |
11039.79096875 |
transcript.pyannote[2347].end |
11041.30971875 |
transcript.pyannote[2348].speaker |
SPEAKER_19 |
transcript.pyannote[2348].start |
11042.06909375 |
transcript.pyannote[2348].end |
11044.90409375 |
transcript.pyannote[2349].speaker |
SPEAKER_19 |
transcript.pyannote[2349].start |
11045.29221875 |
transcript.pyannote[2349].end |
11048.86971875 |
transcript.pyannote[2350].speaker |
SPEAKER_19 |
transcript.pyannote[2350].start |
11049.39284375 |
transcript.pyannote[2350].end |
11050.05096875 |
transcript.pyannote[2351].speaker |
SPEAKER_19 |
transcript.pyannote[2351].start |
11050.48971875 |
transcript.pyannote[2351].end |
11052.68346875 |
transcript.pyannote[2352].speaker |
SPEAKER_19 |
transcript.pyannote[2352].start |
11053.03784375 |
transcript.pyannote[2352].end |
11056.07534375 |
transcript.pyannote[2353].speaker |
SPEAKER_19 |
transcript.pyannote[2353].start |
11056.91909375 |
transcript.pyannote[2353].end |
11057.86409375 |
transcript.pyannote[2354].speaker |
SPEAKER_19 |
transcript.pyannote[2354].start |
11058.38721875 |
transcript.pyannote[2354].end |
11059.80471875 |
transcript.pyannote[2355].speaker |
SPEAKER_19 |
transcript.pyannote[2355].start |
11060.54721875 |
transcript.pyannote[2355].end |
11064.19221875 |
transcript.pyannote[2356].speaker |
SPEAKER_19 |
transcript.pyannote[2356].start |
11064.41159375 |
transcript.pyannote[2356].end |
11064.86721875 |
transcript.pyannote[2357].speaker |
SPEAKER_19 |
transcript.pyannote[2357].start |
11065.71096875 |
transcript.pyannote[2357].end |
11070.03096875 |
transcript.pyannote[2358].speaker |
SPEAKER_19 |
transcript.pyannote[2358].start |
11070.21659375 |
transcript.pyannote[2358].end |
11071.85346875 |
transcript.pyannote[2359].speaker |
SPEAKER_19 |
transcript.pyannote[2359].start |
11072.86596875 |
transcript.pyannote[2359].end |
11073.28784375 |
transcript.pyannote[2360].speaker |
SPEAKER_19 |
transcript.pyannote[2360].start |
11074.75596875 |
transcript.pyannote[2360].end |
11076.03846875 |
transcript.pyannote[2361].speaker |
SPEAKER_19 |
transcript.pyannote[2361].start |
11076.47721875 |
transcript.pyannote[2361].end |
11077.11846875 |
transcript.pyannote[2362].speaker |
SPEAKER_19 |
transcript.pyannote[2362].start |
11077.52346875 |
transcript.pyannote[2362].end |
11078.65409375 |
transcript.pyannote[2363].speaker |
SPEAKER_19 |
transcript.pyannote[2363].start |
11079.61596875 |
transcript.pyannote[2363].end |
11082.24846875 |
transcript.pyannote[2364].speaker |
SPEAKER_19 |
transcript.pyannote[2364].start |
11082.41721875 |
transcript.pyannote[2364].end |
11083.68284375 |
transcript.pyannote[2365].speaker |
SPEAKER_19 |
transcript.pyannote[2365].start |
11084.37471875 |
transcript.pyannote[2365].end |
11085.26909375 |
transcript.pyannote[2366].speaker |
SPEAKER_19 |
transcript.pyannote[2366].start |
11086.23096875 |
transcript.pyannote[2366].end |
11087.64846875 |
transcript.pyannote[2367].speaker |
SPEAKER_19 |
transcript.pyannote[2367].start |
11087.88471875 |
transcript.pyannote[2367].end |
11089.25159375 |
transcript.pyannote[2368].speaker |
SPEAKER_19 |
transcript.pyannote[2368].start |
11090.16284375 |
transcript.pyannote[2368].end |
11092.57596875 |
transcript.pyannote[2369].speaker |
SPEAKER_19 |
transcript.pyannote[2369].start |
11093.08221875 |
transcript.pyannote[2369].end |
11095.81596875 |
transcript.pyannote[2370].speaker |
SPEAKER_19 |
transcript.pyannote[2370].start |
11096.64284375 |
transcript.pyannote[2370].end |
11098.98846875 |
transcript.pyannote[2371].speaker |
SPEAKER_19 |
transcript.pyannote[2371].start |
11099.74784375 |
transcript.pyannote[2371].end |
11100.50721875 |
transcript.pyannote[2372].speaker |
SPEAKER_19 |
transcript.pyannote[2372].start |
11100.82784375 |
transcript.pyannote[2372].end |
11101.35096875 |
transcript.pyannote[2373].speaker |
SPEAKER_19 |
transcript.pyannote[2373].start |
11101.84034375 |
transcript.pyannote[2373].end |
11102.19471875 |
transcript.pyannote[2374].speaker |
SPEAKER_19 |
transcript.pyannote[2374].start |
11102.41409375 |
transcript.pyannote[2374].end |
11103.27471875 |
transcript.pyannote[2375].speaker |
SPEAKER_19 |
transcript.pyannote[2375].start |
11103.81471875 |
transcript.pyannote[2375].end |
11104.59096875 |
transcript.pyannote[2376].speaker |
SPEAKER_19 |
transcript.pyannote[2376].start |
11104.69221875 |
transcript.pyannote[2376].end |
11105.29971875 |
transcript.pyannote[2377].speaker |
SPEAKER_19 |
transcript.pyannote[2377].start |
11105.36721875 |
transcript.pyannote[2377].end |
11107.17284375 |
transcript.pyannote[2378].speaker |
SPEAKER_19 |
transcript.pyannote[2378].start |
11108.62409375 |
transcript.pyannote[2378].end |
11109.78846875 |
transcript.pyannote[2379].speaker |
SPEAKER_19 |
transcript.pyannote[2379].start |
11110.44659375 |
transcript.pyannote[2379].end |
11111.20596875 |
transcript.pyannote[2380].speaker |
SPEAKER_19 |
transcript.pyannote[2380].start |
11111.72909375 |
transcript.pyannote[2380].end |
11113.07909375 |
transcript.pyannote[2381].speaker |
SPEAKER_19 |
transcript.pyannote[2381].start |
11115.37409375 |
transcript.pyannote[2381].end |
11116.72409375 |
transcript.pyannote[2382].speaker |
SPEAKER_19 |
transcript.pyannote[2382].start |
11117.02784375 |
transcript.pyannote[2382].end |
11119.37346875 |
transcript.pyannote[2383].speaker |
SPEAKER_19 |
transcript.pyannote[2383].start |
11120.04846875 |
transcript.pyannote[2383].end |
11121.02721875 |
transcript.pyannote[2384].speaker |
SPEAKER_19 |
transcript.pyannote[2384].start |
11121.26346875 |
transcript.pyannote[2384].end |
11123.23784375 |
transcript.pyannote[2385].speaker |
SPEAKER_19 |
transcript.pyannote[2385].start |
11123.98034375 |
transcript.pyannote[2385].end |
11125.65096875 |
transcript.pyannote[2386].speaker |
SPEAKER_19 |
transcript.pyannote[2386].start |
11126.15721875 |
transcript.pyannote[2386].end |
11127.25409375 |
transcript.pyannote[2387].speaker |
SPEAKER_19 |
transcript.pyannote[2387].start |
11127.87846875 |
transcript.pyannote[2387].end |
11129.70096875 |
transcript.pyannote[2388].speaker |
SPEAKER_19 |
transcript.pyannote[2388].start |
11130.56159375 |
transcript.pyannote[2388].end |
11132.83971875 |
transcript.pyannote[2389].speaker |
SPEAKER_19 |
transcript.pyannote[2389].start |
11133.58221875 |
transcript.pyannote[2389].end |
11134.39221875 |
transcript.pyannote[2390].speaker |
SPEAKER_19 |
transcript.pyannote[2390].start |
11134.91534375 |
transcript.pyannote[2390].end |
11137.27784375 |
transcript.pyannote[2391].speaker |
SPEAKER_19 |
transcript.pyannote[2391].start |
11138.84721875 |
transcript.pyannote[2391].end |
11140.45034375 |
transcript.pyannote[2392].speaker |
SPEAKER_19 |
transcript.pyannote[2392].start |
11141.63159375 |
transcript.pyannote[2392].end |
11142.28971875 |
transcript.pyannote[2393].speaker |
SPEAKER_19 |
transcript.pyannote[2393].start |
11143.67346875 |
transcript.pyannote[2393].end |
11145.59721875 |
transcript.pyannote[2394].speaker |
SPEAKER_19 |
transcript.pyannote[2394].start |
11146.12034375 |
transcript.pyannote[2394].end |
11147.43659375 |
transcript.pyannote[2395].speaker |
SPEAKER_19 |
transcript.pyannote[2395].start |
11147.97659375 |
transcript.pyannote[2395].end |
11150.71034375 |
transcript.pyannote[2396].speaker |
SPEAKER_19 |
transcript.pyannote[2396].start |
11151.46971875 |
transcript.pyannote[2396].end |
11154.50721875 |
transcript.pyannote[2397].speaker |
SPEAKER_19 |
transcript.pyannote[2397].start |
11155.09784375 |
transcript.pyannote[2397].end |
11156.36346875 |
transcript.pyannote[2398].speaker |
SPEAKER_19 |
transcript.pyannote[2398].start |
11156.76846875 |
transcript.pyannote[2398].end |
11157.73034375 |
transcript.pyannote[2399].speaker |
SPEAKER_19 |
transcript.pyannote[2399].start |
11157.94971875 |
transcript.pyannote[2399].end |
11159.02971875 |
transcript.pyannote[2400].speaker |
SPEAKER_19 |
transcript.pyannote[2400].start |
11159.33346875 |
transcript.pyannote[2400].end |
11160.91971875 |
transcript.pyannote[2401].speaker |
SPEAKER_19 |
transcript.pyannote[2401].start |
11161.76346875 |
transcript.pyannote[2401].end |
11163.88971875 |
transcript.pyannote[2402].speaker |
SPEAKER_19 |
transcript.pyannote[2402].start |
11164.49721875 |
transcript.pyannote[2402].end |
11165.96534375 |
transcript.pyannote[2403].speaker |
SPEAKER_19 |
transcript.pyannote[2403].start |
11166.18471875 |
transcript.pyannote[2403].end |
11169.03659375 |
transcript.pyannote[2404].speaker |
SPEAKER_19 |
transcript.pyannote[2404].start |
11169.50909375 |
transcript.pyannote[2404].end |
11170.67346875 |
transcript.pyannote[2405].speaker |
SPEAKER_19 |
transcript.pyannote[2405].start |
11171.48346875 |
transcript.pyannote[2405].end |
11173.13721875 |
transcript.pyannote[2406].speaker |
SPEAKER_19 |
transcript.pyannote[2406].start |
11175.19596875 |
transcript.pyannote[2406].end |
11175.60096875 |
transcript.pyannote[2407].speaker |
SPEAKER_19 |
transcript.pyannote[2407].start |
11176.22534375 |
transcript.pyannote[2407].end |
11177.44034375 |
transcript.pyannote[2408].speaker |
SPEAKER_19 |
transcript.pyannote[2408].start |
11178.89159375 |
transcript.pyannote[2408].end |
11180.30909375 |
transcript.pyannote[2409].speaker |
SPEAKER_19 |
transcript.pyannote[2409].start |
11180.79846875 |
transcript.pyannote[2409].end |
11182.03034375 |
transcript.pyannote[2410].speaker |
SPEAKER_19 |
transcript.pyannote[2410].start |
11182.73909375 |
transcript.pyannote[2410].end |
11183.32971875 |
transcript.pyannote[2411].speaker |
SPEAKER_19 |
transcript.pyannote[2411].start |
11183.71784375 |
transcript.pyannote[2411].end |
11183.73471875 |
transcript.pyannote[2412].speaker |
SPEAKER_10 |
transcript.pyannote[2412].start |
11183.73471875 |
transcript.pyannote[2412].end |
11184.86534375 |
transcript.pyannote[2413].speaker |
SPEAKER_19 |
transcript.pyannote[2413].start |
11184.86534375 |
transcript.pyannote[2413].end |
11185.62471875 |
transcript.pyannote[2414].speaker |
SPEAKER_10 |
transcript.pyannote[2414].start |
11185.62471875 |
transcript.pyannote[2414].end |
11191.34534375 |
transcript.pyannote[2415].speaker |
SPEAKER_10 |
transcript.pyannote[2415].start |
11191.66596875 |
transcript.pyannote[2415].end |
11201.74034375 |
transcript.pyannote[2416].speaker |
SPEAKER_10 |
transcript.pyannote[2416].start |
11202.36471875 |
transcript.pyannote[2416].end |
11204.64284375 |
transcript.pyannote[2417].speaker |
SPEAKER_10 |
transcript.pyannote[2417].start |
11204.91284375 |
transcript.pyannote[2417].end |
11206.12784375 |
transcript.pyannote[2418].speaker |
SPEAKER_19 |
transcript.pyannote[2418].start |
11206.12784375 |
transcript.pyannote[2418].end |
11206.71846875 |
transcript.pyannote[2419].speaker |
SPEAKER_10 |
transcript.pyannote[2419].start |
11206.71846875 |
transcript.pyannote[2419].end |
11207.03909375 |
transcript.pyannote[2420].speaker |
SPEAKER_19 |
transcript.pyannote[2420].start |
11207.03909375 |
transcript.pyannote[2420].end |
11208.33846875 |
transcript.pyannote[2421].speaker |
SPEAKER_19 |
transcript.pyannote[2421].start |
11208.82784375 |
transcript.pyannote[2421].end |
11212.37159375 |
transcript.pyannote[2422].speaker |
SPEAKER_19 |
transcript.pyannote[2422].start |
11213.23221875 |
transcript.pyannote[2422].end |
11215.34159375 |
transcript.pyannote[2423].speaker |
SPEAKER_19 |
transcript.pyannote[2423].start |
11215.88159375 |
transcript.pyannote[2423].end |
11218.59846875 |
transcript.pyannote[2424].speaker |
SPEAKER_19 |
transcript.pyannote[2424].start |
11219.37471875 |
transcript.pyannote[2424].end |
11220.65721875 |
transcript.pyannote[2425].speaker |
SPEAKER_10 |
transcript.pyannote[2425].start |
11220.65721875 |
transcript.pyannote[2425].end |
11220.75846875 |
transcript.pyannote[2426].speaker |
SPEAKER_10 |
transcript.pyannote[2426].start |
11220.77534375 |
transcript.pyannote[2426].end |
11226.93471875 |
transcript.pyannote[2427].speaker |
SPEAKER_19 |
transcript.pyannote[2427].start |
11225.61846875 |
transcript.pyannote[2427].end |
11234.96721875 |
transcript.pyannote[2428].speaker |
SPEAKER_10 |
transcript.pyannote[2428].start |
11232.04784375 |
transcript.pyannote[2428].end |
11233.38096875 |
transcript.pyannote[2429].speaker |
SPEAKER_10 |
transcript.pyannote[2429].start |
11233.90409375 |
transcript.pyannote[2429].end |
11256.31409375 |
transcript.pyannote[2430].speaker |
SPEAKER_19 |
transcript.pyannote[2430].start |
11255.13284375 |
transcript.pyannote[2430].end |
11255.26784375 |
transcript.pyannote[2431].speaker |
SPEAKER_19 |
transcript.pyannote[2431].start |
11255.70659375 |
transcript.pyannote[2431].end |
11255.74034375 |
transcript.pyannote[2432].speaker |
SPEAKER_19 |
transcript.pyannote[2432].start |
11256.31409375 |
transcript.pyannote[2432].end |
11256.33096875 |
transcript.pyannote[2433].speaker |
SPEAKER_19 |
transcript.pyannote[2433].start |
11256.48284375 |
transcript.pyannote[2433].end |
11256.90471875 |
transcript.pyannote[2434].speaker |
SPEAKER_19 |
transcript.pyannote[2434].start |
11257.69784375 |
transcript.pyannote[2434].end |
11263.78971875 |
transcript.pyannote[2435].speaker |
SPEAKER_19 |
transcript.pyannote[2435].start |
11264.63346875 |
transcript.pyannote[2435].end |
11271.40034375 |
transcript.pyannote[2436].speaker |
SPEAKER_10 |
transcript.pyannote[2436].start |
11264.70096875 |
transcript.pyannote[2436].end |
11265.34221875 |
transcript.pyannote[2437].speaker |
SPEAKER_10 |
transcript.pyannote[2437].start |
11265.67971875 |
transcript.pyannote[2437].end |
11267.21534375 |
transcript.pyannote[2438].speaker |
SPEAKER_19 |
transcript.pyannote[2438].start |
11271.61971875 |
transcript.pyannote[2438].end |
11274.16784375 |
transcript.pyannote[2439].speaker |
SPEAKER_19 |
transcript.pyannote[2439].start |
11274.53909375 |
transcript.pyannote[2439].end |
11275.87221875 |
transcript.pyannote[2440].speaker |
SPEAKER_19 |
transcript.pyannote[2440].start |
11276.22659375 |
transcript.pyannote[2440].end |
11277.23909375 |
transcript.pyannote[2441].speaker |
SPEAKER_19 |
transcript.pyannote[2441].start |
11277.62721875 |
transcript.pyannote[2441].end |
11279.28096875 |
transcript.pyannote[2442].speaker |
SPEAKER_19 |
transcript.pyannote[2442].start |
11279.50034375 |
transcript.pyannote[2442].end |
11280.76596875 |
transcript.pyannote[2443].speaker |
SPEAKER_19 |
transcript.pyannote[2443].start |
11281.54221875 |
transcript.pyannote[2443].end |
11287.11096875 |
transcript.pyannote[2444].speaker |
SPEAKER_19 |
transcript.pyannote[2444].start |
11287.65096875 |
transcript.pyannote[2444].end |
11290.04721875 |
transcript.pyannote[2445].speaker |
SPEAKER_19 |
transcript.pyannote[2445].start |
11290.80659375 |
transcript.pyannote[2445].end |
11294.02971875 |
transcript.pyannote[2446].speaker |
SPEAKER_19 |
transcript.pyannote[2446].start |
11294.08034375 |
transcript.pyannote[2446].end |
11295.56534375 |
transcript.pyannote[2447].speaker |
SPEAKER_19 |
transcript.pyannote[2447].start |
11296.34159375 |
transcript.pyannote[2447].end |
11301.10034375 |
transcript.pyannote[2448].speaker |
SPEAKER_00 |
transcript.pyannote[2448].start |
11298.19784375 |
transcript.pyannote[2448].end |
11298.23159375 |
transcript.pyannote[2449].speaker |
SPEAKER_15 |
transcript.pyannote[2449].start |
11298.23159375 |
transcript.pyannote[2449].end |
11298.97409375 |
transcript.pyannote[2450].speaker |
SPEAKER_00 |
transcript.pyannote[2450].start |
11298.97409375 |
transcript.pyannote[2450].end |
11300.05409375 |
transcript.pyannote[2451].speaker |
SPEAKER_10 |
transcript.pyannote[2451].start |
11300.05409375 |
transcript.pyannote[2451].end |
11300.25659375 |
transcript.pyannote[2452].speaker |
SPEAKER_00 |
transcript.pyannote[2452].start |
11300.25659375 |
transcript.pyannote[2452].end |
11300.66159375 |
transcript.pyannote[2453].speaker |
SPEAKER_19 |
transcript.pyannote[2453].start |
11301.47159375 |
transcript.pyannote[2453].end |
11302.11284375 |
transcript.pyannote[2454].speaker |
SPEAKER_19 |
transcript.pyannote[2454].start |
11302.68659375 |
transcript.pyannote[2454].end |
11306.55096875 |
transcript.pyannote[2455].speaker |
SPEAKER_19 |
transcript.pyannote[2455].start |
11307.19221875 |
transcript.pyannote[2455].end |
11310.38159375 |
transcript.pyannote[2456].speaker |
SPEAKER_10 |
transcript.pyannote[2456].start |
11307.79971875 |
transcript.pyannote[2456].end |
11308.05284375 |
transcript.pyannote[2457].speaker |
SPEAKER_00 |
transcript.pyannote[2457].start |
11308.05284375 |
transcript.pyannote[2457].end |
11308.06971875 |
transcript.pyannote[2458].speaker |
SPEAKER_19 |
transcript.pyannote[2458].start |
11310.75284375 |
transcript.pyannote[2458].end |
11312.08596875 |
transcript.pyannote[2459].speaker |
SPEAKER_19 |
transcript.pyannote[2459].start |
11312.28846875 |
transcript.pyannote[2459].end |
11312.87909375 |
transcript.pyannote[2460].speaker |
SPEAKER_19 |
transcript.pyannote[2460].start |
11313.73971875 |
transcript.pyannote[2460].end |
11314.71846875 |
transcript.pyannote[2461].speaker |
SPEAKER_19 |
transcript.pyannote[2461].start |
11314.87034375 |
transcript.pyannote[2461].end |
11316.16971875 |
transcript.pyannote[2462].speaker |
SPEAKER_19 |
transcript.pyannote[2462].start |
11317.18221875 |
transcript.pyannote[2462].end |
11318.95409375 |
transcript.pyannote[2463].speaker |
SPEAKER_10 |
transcript.pyannote[2463].start |
11319.52784375 |
transcript.pyannote[2463].end |
11319.91596875 |
transcript.pyannote[2464].speaker |
SPEAKER_19 |
transcript.pyannote[2464].start |
11319.52784375 |
transcript.pyannote[2464].end |
11322.10971875 |
transcript.pyannote[2465].speaker |
SPEAKER_10 |
transcript.pyannote[2465].start |
11320.94534375 |
transcript.pyannote[2465].end |
11338.34346875 |
transcript.pyannote[2466].speaker |
SPEAKER_19 |
transcript.pyannote[2466].start |
11338.34346875 |
transcript.pyannote[2466].end |
11338.95096875 |
transcript.pyannote[2467].speaker |
SPEAKER_19 |
transcript.pyannote[2467].start |
11339.37284375 |
transcript.pyannote[2467].end |
11340.36846875 |
transcript.pyannote[2468].speaker |
SPEAKER_19 |
transcript.pyannote[2468].start |
11341.16159375 |
transcript.pyannote[2468].end |
11342.35971875 |
transcript.pyannote[2469].speaker |
SPEAKER_19 |
transcript.pyannote[2469].start |
11343.27096875 |
transcript.pyannote[2469].end |
11344.73909375 |
transcript.pyannote[2470].speaker |
SPEAKER_19 |
transcript.pyannote[2470].start |
11345.95409375 |
transcript.pyannote[2470].end |
11351.03346875 |
transcript.pyannote[2471].speaker |
SPEAKER_10 |
transcript.pyannote[2471].start |
11351.35409375 |
transcript.pyannote[2471].end |
11355.21846875 |
transcript.pyannote[2472].speaker |
SPEAKER_19 |
transcript.pyannote[2472].start |
11353.96971875 |
transcript.pyannote[2472].end |
11357.17596875 |
transcript.pyannote[2473].speaker |
SPEAKER_10 |
transcript.pyannote[2473].start |
11357.17596875 |
transcript.pyannote[2473].end |
11357.51346875 |
transcript.pyannote[2474].speaker |
SPEAKER_19 |
transcript.pyannote[2474].start |
11357.51346875 |
transcript.pyannote[2474].end |
11357.61471875 |
transcript.pyannote[2475].speaker |
SPEAKER_19 |
transcript.pyannote[2475].start |
11357.76659375 |
transcript.pyannote[2475].end |
11363.14971875 |
transcript.pyannote[2476].speaker |
SPEAKER_10 |
transcript.pyannote[2476].start |
11358.37409375 |
transcript.pyannote[2476].end |
11358.93096875 |
transcript.pyannote[2477].speaker |
SPEAKER_19 |
transcript.pyannote[2477].start |
11363.58846875 |
transcript.pyannote[2477].end |
11365.46159375 |
transcript.pyannote[2478].speaker |
SPEAKER_19 |
transcript.pyannote[2478].start |
11365.91721875 |
transcript.pyannote[2478].end |
11367.14909375 |
transcript.pyannote[2479].speaker |
SPEAKER_19 |
transcript.pyannote[2479].start |
11367.94221875 |
transcript.pyannote[2479].end |
11370.47346875 |
transcript.pyannote[2480].speaker |
SPEAKER_19 |
transcript.pyannote[2480].start |
11371.67159375 |
transcript.pyannote[2480].end |
11372.19471875 |
transcript.pyannote[2481].speaker |
SPEAKER_19 |
transcript.pyannote[2481].start |
11372.58284375 |
transcript.pyannote[2481].end |
11377.49346875 |
transcript.pyannote[2482].speaker |
SPEAKER_10 |
transcript.pyannote[2482].start |
11372.63346875 |
transcript.pyannote[2482].end |
11373.47721875 |
transcript.pyannote[2483].speaker |
SPEAKER_10 |
transcript.pyannote[2483].start |
11374.47284375 |
transcript.pyannote[2483].end |
11374.54034375 |
transcript.pyannote[2484].speaker |
SPEAKER_10 |
transcript.pyannote[2484].start |
11375.29971875 |
transcript.pyannote[2484].end |
11384.44596875 |
transcript.pyannote[2485].speaker |
SPEAKER_19 |
transcript.pyannote[2485].start |
11382.77534375 |
transcript.pyannote[2485].end |
11386.09971875 |
transcript.pyannote[2486].speaker |
SPEAKER_19 |
transcript.pyannote[2486].start |
11386.79159375 |
transcript.pyannote[2486].end |
11387.75346875 |
transcript.pyannote[2487].speaker |
SPEAKER_19 |
transcript.pyannote[2487].start |
11388.00659375 |
transcript.pyannote[2487].end |
11389.12034375 |
transcript.pyannote[2488].speaker |
SPEAKER_19 |
transcript.pyannote[2488].start |
11389.94721875 |
transcript.pyannote[2488].end |
11391.39846875 |
transcript.pyannote[2489].speaker |
SPEAKER_19 |
transcript.pyannote[2489].start |
11391.53346875 |
transcript.pyannote[2489].end |
11393.22096875 |
transcript.pyannote[2490].speaker |
SPEAKER_19 |
transcript.pyannote[2490].start |
11394.35159375 |
transcript.pyannote[2490].end |
11394.84096875 |
transcript.pyannote[2491].speaker |
SPEAKER_19 |
transcript.pyannote[2491].start |
11395.34721875 |
transcript.pyannote[2491].end |
11397.67596875 |
transcript.pyannote[2492].speaker |
SPEAKER_19 |
transcript.pyannote[2492].start |
11398.53659375 |
transcript.pyannote[2492].end |
11399.93721875 |
transcript.pyannote[2493].speaker |
SPEAKER_19 |
transcript.pyannote[2493].start |
11400.35909375 |
transcript.pyannote[2493].end |
11402.01284375 |
transcript.pyannote[2494].speaker |
SPEAKER_19 |
transcript.pyannote[2494].start |
11402.35034375 |
transcript.pyannote[2494].end |
11405.50596875 |
transcript.pyannote[2495].speaker |
SPEAKER_19 |
transcript.pyannote[2495].start |
11406.01221875 |
transcript.pyannote[2495].end |
11409.74159375 |
transcript.pyannote[2496].speaker |
SPEAKER_19 |
transcript.pyannote[2496].start |
11410.28159375 |
transcript.pyannote[2496].end |
11412.13784375 |
transcript.pyannote[2497].speaker |
SPEAKER_10 |
transcript.pyannote[2497].start |
11412.13784375 |
transcript.pyannote[2497].end |
11412.15471875 |
transcript.pyannote[2498].speaker |
SPEAKER_19 |
transcript.pyannote[2498].start |
11412.81284375 |
transcript.pyannote[2498].end |
11412.96471875 |
transcript.pyannote[2499].speaker |
SPEAKER_10 |
transcript.pyannote[2499].start |
11412.96471875 |
transcript.pyannote[2499].end |
11413.72409375 |
transcript.pyannote[2500].speaker |
SPEAKER_19 |
transcript.pyannote[2500].start |
11413.72409375 |
transcript.pyannote[2500].end |
11413.74096875 |
transcript.pyannote[2501].speaker |
SPEAKER_10 |
transcript.pyannote[2501].start |
11413.92659375 |
transcript.pyannote[2501].end |
11414.39909375 |
transcript.pyannote[2502].speaker |
SPEAKER_10 |
transcript.pyannote[2502].start |
11415.04034375 |
transcript.pyannote[2502].end |
11420.27159375 |
transcript.pyannote[2503].speaker |
SPEAKER_19 |
transcript.pyannote[2503].start |
11420.71034375 |
transcript.pyannote[2503].end |
11420.86221875 |
transcript.pyannote[2504].speaker |
SPEAKER_19 |
transcript.pyannote[2504].start |
11420.99721875 |
transcript.pyannote[2504].end |
11421.40221875 |
transcript.pyannote[2505].speaker |
SPEAKER_19 |
transcript.pyannote[2505].start |
11421.77346875 |
transcript.pyannote[2505].end |
11422.19534375 |
transcript.pyannote[2506].speaker |
SPEAKER_19 |
transcript.pyannote[2506].start |
11423.07284375 |
transcript.pyannote[2506].end |
11425.38471875 |
transcript.pyannote[2507].speaker |
SPEAKER_19 |
transcript.pyannote[2507].start |
11426.86971875 |
transcript.pyannote[2507].end |
11428.30409375 |
transcript.pyannote[2508].speaker |
SPEAKER_19 |
transcript.pyannote[2508].start |
11428.52346875 |
transcript.pyannote[2508].end |
11430.41346875 |
transcript.pyannote[2509].speaker |
SPEAKER_19 |
transcript.pyannote[2509].start |
11431.30784375 |
transcript.pyannote[2509].end |
11434.29471875 |
transcript.pyannote[2510].speaker |
SPEAKER_19 |
transcript.pyannote[2510].start |
11436.08346875 |
transcript.pyannote[2510].end |
11436.82596875 |
transcript.pyannote[2511].speaker |
SPEAKER_19 |
transcript.pyannote[2511].start |
11437.68659375 |
transcript.pyannote[2511].end |
11442.39471875 |
transcript.pyannote[2512].speaker |
SPEAKER_10 |
transcript.pyannote[2512].start |
11443.22159375 |
transcript.pyannote[2512].end |
11447.52471875 |
transcript.pyannote[2513].speaker |
SPEAKER_19 |
transcript.pyannote[2513].start |
11443.39034375 |
transcript.pyannote[2513].end |
11444.41971875 |
transcript.pyannote[2514].speaker |
SPEAKER_19 |
transcript.pyannote[2514].start |
11446.73159375 |
transcript.pyannote[2514].end |
11448.75659375 |
transcript.pyannote[2515].speaker |
SPEAKER_19 |
transcript.pyannote[2515].start |
11449.12784375 |
transcript.pyannote[2515].end |
11450.05596875 |
transcript.pyannote[2516].speaker |
SPEAKER_19 |
transcript.pyannote[2516].start |
11450.54534375 |
transcript.pyannote[2516].end |
11451.11909375 |
transcript.pyannote[2517].speaker |
SPEAKER_19 |
transcript.pyannote[2517].start |
11451.99659375 |
transcript.pyannote[2517].end |
11453.46471875 |
transcript.pyannote[2518].speaker |
SPEAKER_19 |
transcript.pyannote[2518].start |
11454.62909375 |
transcript.pyannote[2518].end |
11457.10971875 |
transcript.pyannote[2519].speaker |
SPEAKER_19 |
transcript.pyannote[2519].start |
11457.31221875 |
transcript.pyannote[2519].end |
11459.50596875 |
transcript.pyannote[2520].speaker |
SPEAKER_19 |
transcript.pyannote[2520].start |
11460.04596875 |
transcript.pyannote[2520].end |
11460.46784375 |
transcript.pyannote[2521].speaker |
SPEAKER_19 |
transcript.pyannote[2521].start |
11461.00784375 |
transcript.pyannote[2521].end |
11464.01159375 |
transcript.pyannote[2522].speaker |
SPEAKER_19 |
transcript.pyannote[2522].start |
11464.60221875 |
transcript.pyannote[2522].end |
11465.76659375 |
transcript.pyannote[2523].speaker |
SPEAKER_19 |
transcript.pyannote[2523].start |
11466.54284375 |
transcript.pyannote[2523].end |
11469.05721875 |
transcript.pyannote[2524].speaker |
SPEAKER_19 |
transcript.pyannote[2524].start |
11469.61409375 |
transcript.pyannote[2524].end |
11470.60971875 |
transcript.pyannote[2525].speaker |
SPEAKER_19 |
transcript.pyannote[2525].start |
11471.35221875 |
transcript.pyannote[2525].end |
11473.86659375 |
transcript.pyannote[2526].speaker |
SPEAKER_19 |
transcript.pyannote[2526].start |
11474.54159375 |
transcript.pyannote[2526].end |
11475.08159375 |
transcript.pyannote[2527].speaker |
SPEAKER_19 |
transcript.pyannote[2527].start |
11476.00971875 |
transcript.pyannote[2527].end |
11476.80284375 |
transcript.pyannote[2528].speaker |
SPEAKER_19 |
transcript.pyannote[2528].start |
11477.15721875 |
transcript.pyannote[2528].end |
11477.73096875 |
transcript.pyannote[2529].speaker |
SPEAKER_19 |
transcript.pyannote[2529].start |
11478.00096875 |
transcript.pyannote[2529].end |
11483.70471875 |
transcript.pyannote[2530].speaker |
SPEAKER_19 |
transcript.pyannote[2530].start |
11484.37971875 |
transcript.pyannote[2530].end |
11486.16846875 |
transcript.pyannote[2531].speaker |
SPEAKER_19 |
transcript.pyannote[2531].start |
11486.55659375 |
transcript.pyannote[2531].end |
11487.87284375 |
transcript.pyannote[2532].speaker |
SPEAKER_19 |
transcript.pyannote[2532].start |
11488.37909375 |
transcript.pyannote[2532].end |
11490.21846875 |
transcript.pyannote[2533].speaker |
SPEAKER_19 |
transcript.pyannote[2533].start |
11490.57284375 |
transcript.pyannote[2533].end |
11491.39971875 |
transcript.pyannote[2534].speaker |
SPEAKER_19 |
transcript.pyannote[2534].start |
11491.93971875 |
transcript.pyannote[2534].end |
11493.20534375 |
transcript.pyannote[2535].speaker |
SPEAKER_10 |
transcript.pyannote[2535].start |
11492.58096875 |
transcript.pyannote[2535].end |
11496.22596875 |
transcript.pyannote[2536].speaker |
SPEAKER_19 |
transcript.pyannote[2536].start |
11494.52159375 |
transcript.pyannote[2536].end |
11494.74096875 |
transcript.pyannote[2537].speaker |
SPEAKER_19 |
transcript.pyannote[2537].start |
11495.78721875 |
transcript.pyannote[2537].end |
11496.47909375 |
transcript.pyannote[2538].speaker |
SPEAKER_19 |
transcript.pyannote[2538].start |
11496.64784375 |
transcript.pyannote[2538].end |
11498.74034375 |
transcript.pyannote[2539].speaker |
SPEAKER_19 |
transcript.pyannote[2539].start |
11499.24659375 |
transcript.pyannote[2539].end |
11500.57971875 |
transcript.pyannote[2540].speaker |
SPEAKER_19 |
transcript.pyannote[2540].start |
11500.63034375 |
transcript.pyannote[2540].end |
11501.05221875 |
transcript.pyannote[2541].speaker |
SPEAKER_19 |
transcript.pyannote[2541].start |
11501.72721875 |
transcript.pyannote[2541].end |
11503.44846875 |
transcript.pyannote[2542].speaker |
SPEAKER_19 |
transcript.pyannote[2542].start |
11504.59596875 |
transcript.pyannote[2542].end |
11506.80659375 |
transcript.pyannote[2543].speaker |
SPEAKER_19 |
transcript.pyannote[2543].start |
11506.97534375 |
transcript.pyannote[2543].end |
11509.84409375 |
transcript.pyannote[2544].speaker |
SPEAKER_19 |
transcript.pyannote[2544].start |
11510.16471875 |
transcript.pyannote[2544].end |
11512.13909375 |
transcript.pyannote[2545].speaker |
SPEAKER_19 |
transcript.pyannote[2545].start |
11513.03346875 |
transcript.pyannote[2545].end |
11513.67471875 |
transcript.pyannote[2546].speaker |
SPEAKER_19 |
transcript.pyannote[2546].start |
11514.60284375 |
transcript.pyannote[2546].end |
11516.18909375 |
transcript.pyannote[2547].speaker |
SPEAKER_19 |
transcript.pyannote[2547].start |
11516.37471875 |
transcript.pyannote[2547].end |
11518.83846875 |
transcript.pyannote[2548].speaker |
SPEAKER_19 |
transcript.pyannote[2548].start |
11519.46284375 |
transcript.pyannote[2548].end |
11524.81221875 |
transcript.pyannote[2549].speaker |
SPEAKER_19 |
transcript.pyannote[2549].start |
11524.94721875 |
transcript.pyannote[2549].end |
11527.95096875 |
transcript.pyannote[2550].speaker |
SPEAKER_19 |
transcript.pyannote[2550].start |
11528.64284375 |
transcript.pyannote[2550].end |
11530.53284375 |
transcript.pyannote[2551].speaker |
SPEAKER_19 |
transcript.pyannote[2551].start |
11531.24159375 |
transcript.pyannote[2551].end |
11532.08534375 |
transcript.pyannote[2552].speaker |
SPEAKER_19 |
transcript.pyannote[2552].start |
11533.14846875 |
transcript.pyannote[2552].end |
11533.75596875 |
transcript.pyannote[2553].speaker |
SPEAKER_19 |
transcript.pyannote[2553].start |
11534.41409375 |
transcript.pyannote[2553].end |
11536.27034375 |
transcript.pyannote[2554].speaker |
SPEAKER_19 |
transcript.pyannote[2554].start |
11536.64159375 |
transcript.pyannote[2554].end |
11538.34596875 |
transcript.pyannote[2555].speaker |
SPEAKER_19 |
transcript.pyannote[2555].start |
11538.78471875 |
transcript.pyannote[2555].end |
11539.52721875 |
transcript.pyannote[2556].speaker |
SPEAKER_19 |
transcript.pyannote[2556].start |
11540.20221875 |
transcript.pyannote[2556].end |
11542.07534375 |
transcript.pyannote[2557].speaker |
SPEAKER_19 |
transcript.pyannote[2557].start |
11542.49721875 |
transcript.pyannote[2557].end |
11543.62784375 |
transcript.pyannote[2558].speaker |
SPEAKER_19 |
transcript.pyannote[2558].start |
11544.67409375 |
transcript.pyannote[2558].end |
11548.52159375 |
transcript.pyannote[2559].speaker |
SPEAKER_19 |
transcript.pyannote[2559].start |
11549.78721875 |
transcript.pyannote[2559].end |
11550.78284375 |
transcript.pyannote[2560].speaker |
SPEAKER_19 |
transcript.pyannote[2560].start |
11551.33971875 |
transcript.pyannote[2560].end |
11553.26346875 |
transcript.pyannote[2561].speaker |
SPEAKER_19 |
transcript.pyannote[2561].start |
11553.70221875 |
transcript.pyannote[2561].end |
11555.91284375 |
transcript.pyannote[2562].speaker |
SPEAKER_19 |
transcript.pyannote[2562].start |
11556.33471875 |
transcript.pyannote[2562].end |
11557.93784375 |
transcript.pyannote[2563].speaker |
SPEAKER_19 |
transcript.pyannote[2563].start |
11558.30909375 |
transcript.pyannote[2563].end |
11562.81471875 |
transcript.pyannote[2564].speaker |
SPEAKER_10 |
transcript.pyannote[2564].start |
11558.62971875 |
transcript.pyannote[2564].end |
11558.95034375 |
transcript.pyannote[2565].speaker |
SPEAKER_10 |
transcript.pyannote[2565].start |
11561.73471875 |
transcript.pyannote[2565].end |
11565.49784375 |
transcript.pyannote[2566].speaker |
SPEAKER_10 |
transcript.pyannote[2566].start |
11565.63284375 |
transcript.pyannote[2566].end |
11571.04971875 |
transcript.pyannote[2567].speaker |
SPEAKER_10 |
transcript.pyannote[2567].start |
11571.43784375 |
transcript.pyannote[2567].end |
11572.95659375 |
transcript.pyannote[2568].speaker |
SPEAKER_10 |
transcript.pyannote[2568].start |
11573.20971875 |
transcript.pyannote[2568].end |
11575.45409375 |
transcript.pyannote[2569].speaker |
SPEAKER_19 |
transcript.pyannote[2569].start |
11576.28096875 |
transcript.pyannote[2569].end |
11578.35659375 |
transcript.pyannote[2570].speaker |
SPEAKER_19 |
transcript.pyannote[2570].start |
11578.74471875 |
transcript.pyannote[2570].end |
11580.07784375 |
transcript.pyannote[2571].speaker |
SPEAKER_19 |
transcript.pyannote[2571].start |
11580.33096875 |
transcript.pyannote[2571].end |
11584.98846875 |
transcript.pyannote[2572].speaker |
SPEAKER_10 |
transcript.pyannote[2572].start |
11583.25034375 |
transcript.pyannote[2572].end |
11583.57096875 |
transcript.pyannote[2573].speaker |
SPEAKER_13 |
transcript.pyannote[2573].start |
11583.57096875 |
transcript.pyannote[2573].end |
11583.58784375 |
transcript.pyannote[2574].speaker |
SPEAKER_19 |
transcript.pyannote[2574].start |
11585.32596875 |
transcript.pyannote[2574].end |
11591.24909375 |
transcript.pyannote[2575].speaker |
SPEAKER_10 |
transcript.pyannote[2575].start |
11586.35534375 |
transcript.pyannote[2575].end |
11587.57034375 |
transcript.pyannote[2576].speaker |
SPEAKER_13 |
transcript.pyannote[2576].start |
11587.57034375 |
transcript.pyannote[2576].end |
11587.58721875 |
transcript.pyannote[2577].speaker |
SPEAKER_10 |
transcript.pyannote[2577].start |
11587.58721875 |
transcript.pyannote[2577].end |
11587.60409375 |
transcript.pyannote[2578].speaker |
SPEAKER_10 |
transcript.pyannote[2578].start |
11588.66721875 |
transcript.pyannote[2578].end |
11588.81909375 |
transcript.pyannote[2579].speaker |
SPEAKER_19 |
transcript.pyannote[2579].start |
11591.58659375 |
transcript.pyannote[2579].end |
11592.90284375 |
transcript.pyannote[2580].speaker |
SPEAKER_19 |
transcript.pyannote[2580].start |
11593.91534375 |
transcript.pyannote[2580].end |
11597.94846875 |
transcript.pyannote[2581].speaker |
SPEAKER_19 |
transcript.pyannote[2581].start |
11598.96096875 |
transcript.pyannote[2581].end |
11599.33221875 |
transcript.pyannote[2582].speaker |
SPEAKER_19 |
transcript.pyannote[2582].start |
11600.12534375 |
transcript.pyannote[2582].end |
11604.15846875 |
transcript.pyannote[2583].speaker |
SPEAKER_10 |
transcript.pyannote[2583].start |
11603.34846875 |
transcript.pyannote[2583].end |
11606.77409375 |
transcript.pyannote[2584].speaker |
SPEAKER_19 |
transcript.pyannote[2584].start |
11605.77846875 |
transcript.pyannote[2584].end |
11606.45346875 |
transcript.pyannote[2585].speaker |
SPEAKER_19 |
transcript.pyannote[2585].start |
11606.97659375 |
transcript.pyannote[2585].end |
11614.65471875 |
transcript.pyannote[2586].speaker |
SPEAKER_19 |
transcript.pyannote[2586].start |
11614.87409375 |
transcript.pyannote[2586].end |
11615.81909375 |
transcript.pyannote[2587].speaker |
SPEAKER_19 |
transcript.pyannote[2587].start |
11616.22409375 |
transcript.pyannote[2587].end |
11620.05471875 |
transcript.pyannote[2588].speaker |
SPEAKER_19 |
transcript.pyannote[2588].start |
11620.76346875 |
transcript.pyannote[2588].end |
11621.87721875 |
transcript.pyannote[2589].speaker |
SPEAKER_19 |
transcript.pyannote[2589].start |
11622.56909375 |
transcript.pyannote[2589].end |
11622.92346875 |
transcript.pyannote[2590].speaker |
SPEAKER_19 |
transcript.pyannote[2590].start |
11623.37909375 |
transcript.pyannote[2590].end |
11626.19721875 |
transcript.pyannote[2591].speaker |
SPEAKER_19 |
transcript.pyannote[2591].start |
11626.75409375 |
transcript.pyannote[2591].end |
11636.45721875 |
transcript.pyannote[2592].speaker |
SPEAKER_19 |
transcript.pyannote[2592].start |
11637.28409375 |
transcript.pyannote[2592].end |
11638.65096875 |
transcript.pyannote[2593].speaker |
SPEAKER_19 |
transcript.pyannote[2593].start |
11639.12346875 |
transcript.pyannote[2593].end |
11640.03471875 |
transcript.pyannote[2594].speaker |
SPEAKER_19 |
transcript.pyannote[2594].start |
11640.27096875 |
transcript.pyannote[2594].end |
11642.48159375 |
transcript.pyannote[2595].speaker |
SPEAKER_19 |
transcript.pyannote[2595].start |
11642.98784375 |
transcript.pyannote[2595].end |
11643.64596875 |
transcript.pyannote[2596].speaker |
SPEAKER_19 |
transcript.pyannote[2596].start |
11644.25346875 |
transcript.pyannote[2596].end |
11644.81034375 |
transcript.pyannote[2597].speaker |
SPEAKER_19 |
transcript.pyannote[2597].start |
11645.56971875 |
transcript.pyannote[2597].end |
11646.04221875 |
transcript.pyannote[2598].speaker |
SPEAKER_19 |
transcript.pyannote[2598].start |
11646.39659375 |
transcript.pyannote[2598].end |
11648.01659375 |
transcript.pyannote[2599].speaker |
SPEAKER_19 |
transcript.pyannote[2599].start |
11648.52284375 |
transcript.pyannote[2599].end |
11653.55159375 |
transcript.pyannote[2600].speaker |
SPEAKER_19 |
transcript.pyannote[2600].start |
11653.70346875 |
transcript.pyannote[2600].end |
11654.86784375 |
transcript.pyannote[2601].speaker |
SPEAKER_19 |
transcript.pyannote[2601].start |
11655.27284375 |
transcript.pyannote[2601].end |
11656.87596875 |
transcript.pyannote[2602].speaker |
SPEAKER_19 |
transcript.pyannote[2602].start |
11657.39909375 |
transcript.pyannote[2602].end |
11657.70284375 |
transcript.pyannote[2603].speaker |
SPEAKER_19 |
transcript.pyannote[2603].start |
11657.97284375 |
transcript.pyannote[2603].end |
11658.63096875 |
transcript.pyannote[2604].speaker |
SPEAKER_19 |
transcript.pyannote[2604].start |
11658.98534375 |
transcript.pyannote[2604].end |
11661.36471875 |
transcript.pyannote[2605].speaker |
SPEAKER_19 |
transcript.pyannote[2605].start |
11661.53346875 |
transcript.pyannote[2605].end |
11663.67659375 |
transcript.pyannote[2606].speaker |
SPEAKER_19 |
transcript.pyannote[2606].start |
11664.25034375 |
transcript.pyannote[2606].end |
11666.52846875 |
transcript.pyannote[2607].speaker |
SPEAKER_19 |
transcript.pyannote[2607].start |
11666.66346875 |
transcript.pyannote[2607].end |
11666.69721875 |
transcript.pyannote[2608].speaker |
SPEAKER_07 |
transcript.pyannote[2608].start |
11666.69721875 |
transcript.pyannote[2608].end |
11671.74284375 |
transcript.pyannote[2609].speaker |
SPEAKER_19 |
transcript.pyannote[2609].start |
11667.23721875 |
transcript.pyannote[2609].end |
11667.54096875 |
transcript.pyannote[2610].speaker |
SPEAKER_07 |
transcript.pyannote[2610].start |
11672.28284375 |
transcript.pyannote[2610].end |
11676.82221875 |
transcript.pyannote[2611].speaker |
SPEAKER_07 |
transcript.pyannote[2611].start |
11676.99096875 |
transcript.pyannote[2611].end |
11679.43784375 |
transcript.pyannote[2612].speaker |
SPEAKER_07 |
transcript.pyannote[2612].start |
11679.72471875 |
transcript.pyannote[2612].end |
11681.93534375 |
transcript.pyannote[2613].speaker |
SPEAKER_07 |
transcript.pyannote[2613].start |
11682.01971875 |
transcript.pyannote[2613].end |
11682.50909375 |
transcript.pyannote[2614].speaker |
SPEAKER_12 |
transcript.pyannote[2614].start |
11691.79034375 |
transcript.pyannote[2614].end |
11692.46534375 |
transcript.pyannote[2615].speaker |
SPEAKER_07 |
transcript.pyannote[2615].start |
11693.10659375 |
transcript.pyannote[2615].end |
11694.22034375 |
transcript.pyannote[2616].speaker |
SPEAKER_12 |
transcript.pyannote[2616].start |
11694.32159375 |
transcript.pyannote[2616].end |
11695.13159375 |
transcript.pyannote[2617].speaker |
SPEAKER_12 |
transcript.pyannote[2617].start |
11701.20659375 |
transcript.pyannote[2617].end |
11701.76346875 |
transcript.pyannote[2618].speaker |
SPEAKER_12 |
transcript.pyannote[2618].start |
11702.05034375 |
transcript.pyannote[2618].end |
11702.52284375 |
transcript.pyannote[2619].speaker |
SPEAKER_12 |
transcript.pyannote[2619].start |
11703.11346875 |
transcript.pyannote[2619].end |
11718.95909375 |
transcript.pyannote[2620].speaker |
SPEAKER_12 |
transcript.pyannote[2620].start |
11719.17846875 |
transcript.pyannote[2620].end |
11730.77159375 |
transcript.pyannote[2621].speaker |
SPEAKER_12 |
transcript.pyannote[2621].start |
11731.21034375 |
transcript.pyannote[2621].end |
11732.50971875 |
transcript.pyannote[2622].speaker |
SPEAKER_12 |
transcript.pyannote[2622].start |
11733.25221875 |
transcript.pyannote[2622].end |
11741.85846875 |
transcript.pyannote[2623].speaker |
SPEAKER_12 |
transcript.pyannote[2623].start |
11742.21284375 |
transcript.pyannote[2623].end |
11742.75284375 |
transcript.pyannote[2624].speaker |
SPEAKER_12 |
transcript.pyannote[2624].start |
11743.52909375 |
transcript.pyannote[2624].end |
11761.75409375 |
transcript.pyannote[2625].speaker |
SPEAKER_12 |
transcript.pyannote[2625].start |
11764.38659375 |
transcript.pyannote[2625].end |
11764.40346875 |
transcript.pyannote[2626].speaker |
SPEAKER_10 |
transcript.pyannote[2626].start |
11764.40346875 |
transcript.pyannote[2626].end |
11772.14909375 |
transcript.pyannote[2627].speaker |
SPEAKER_10 |
transcript.pyannote[2627].start |
11772.21659375 |
transcript.pyannote[2627].end |
11777.70096875 |
transcript.pyannote[2628].speaker |
SPEAKER_10 |
transcript.pyannote[2628].start |
11777.95409375 |
transcript.pyannote[2628].end |
11788.24784375 |
transcript.pyannote[2629].speaker |
SPEAKER_10 |
transcript.pyannote[2629].start |
11788.66971875 |
transcript.pyannote[2629].end |
11801.14034375 |
transcript.pyannote[2630].speaker |
SPEAKER_12 |
transcript.pyannote[2630].start |
11799.85784375 |
transcript.pyannote[2630].end |
11813.00346875 |
transcript.pyannote[2631].speaker |
SPEAKER_10 |
transcript.pyannote[2631].start |
11801.74784375 |
transcript.pyannote[2631].end |
11802.05159375 |
transcript.pyannote[2632].speaker |
SPEAKER_12 |
transcript.pyannote[2632].start |
11813.23971875 |
transcript.pyannote[2632].end |
11813.89784375 |
transcript.pyannote[2633].speaker |
SPEAKER_12 |
transcript.pyannote[2633].start |
11814.77534375 |
transcript.pyannote[2633].end |
11823.22971875 |
transcript.pyannote[2634].speaker |
SPEAKER_12 |
transcript.pyannote[2634].start |
11823.55034375 |
transcript.pyannote[2634].end |
11832.29159375 |
transcript.pyannote[2635].speaker |
SPEAKER_12 |
transcript.pyannote[2635].start |
11832.67971875 |
transcript.pyannote[2635].end |
11839.71659375 |
transcript.pyannote[2636].speaker |
SPEAKER_12 |
transcript.pyannote[2636].start |
11840.00346875 |
transcript.pyannote[2636].end |
11840.59409375 |
transcript.pyannote[2637].speaker |
SPEAKER_12 |
transcript.pyannote[2637].start |
11842.66971875 |
transcript.pyannote[2637].end |
11848.74471875 |
transcript.pyannote[2638].speaker |
SPEAKER_12 |
transcript.pyannote[2638].start |
11848.99784375 |
transcript.pyannote[2638].end |
11851.71471875 |
transcript.pyannote[2639].speaker |
SPEAKER_12 |
transcript.pyannote[2639].start |
11852.00159375 |
transcript.pyannote[2639].end |
11852.64284375 |
transcript.pyannote[2640].speaker |
SPEAKER_12 |
transcript.pyannote[2640].start |
11853.46971875 |
transcript.pyannote[2640].end |
11914.21971875 |
transcript.pyannote[2641].speaker |
SPEAKER_10 |
transcript.pyannote[2641].start |
11914.37159375 |
transcript.pyannote[2641].end |
11919.70409375 |
transcript.pyannote[2642].speaker |
SPEAKER_10 |
transcript.pyannote[2642].start |
11920.10909375 |
transcript.pyannote[2642].end |
11920.61534375 |
transcript.pyannote[2643].speaker |
SPEAKER_10 |
transcript.pyannote[2643].start |
11920.64909375 |
transcript.pyannote[2643].end |
11923.65284375 |
transcript.pyannote[2644].speaker |
SPEAKER_10 |
transcript.pyannote[2644].start |
11923.83846875 |
transcript.pyannote[2644].end |
11941.89471875 |
transcript.pyannote[2645].speaker |
SPEAKER_10 |
transcript.pyannote[2645].start |
11942.36721875 |
transcript.pyannote[2645].end |
11945.48909375 |
transcript.pyannote[2646].speaker |
SPEAKER_12 |
transcript.pyannote[2646].start |
11945.48909375 |
transcript.pyannote[2646].end |
11945.53971875 |
transcript.pyannote[2647].speaker |
SPEAKER_10 |
transcript.pyannote[2647].start |
11945.53971875 |
transcript.pyannote[2647].end |
11945.79284375 |
transcript.pyannote[2648].speaker |
SPEAKER_12 |
transcript.pyannote[2648].start |
11945.79284375 |
transcript.pyannote[2648].end |
11945.87721875 |
transcript.pyannote[2649].speaker |
SPEAKER_10 |
transcript.pyannote[2649].start |
11945.87721875 |
transcript.pyannote[2649].end |
11946.02909375 |
transcript.pyannote[2650].speaker |
SPEAKER_12 |
transcript.pyannote[2650].start |
11946.02909375 |
transcript.pyannote[2650].end |
11967.12284375 |
transcript.pyannote[2651].speaker |
SPEAKER_12 |
transcript.pyannote[2651].start |
11967.44346875 |
transcript.pyannote[2651].end |
11968.91159375 |
transcript.pyannote[2652].speaker |
SPEAKER_12 |
transcript.pyannote[2652].start |
11969.09721875 |
transcript.pyannote[2652].end |
11969.72159375 |
transcript.pyannote[2653].speaker |
SPEAKER_12 |
transcript.pyannote[2653].start |
11970.32909375 |
transcript.pyannote[2653].end |
11971.45971875 |
transcript.pyannote[2654].speaker |
SPEAKER_07 |
transcript.pyannote[2654].start |
11975.13846875 |
transcript.pyannote[2654].end |
11975.79659375 |
transcript.pyannote[2655].speaker |
SPEAKER_07 |
transcript.pyannote[2655].start |
11976.31971875 |
transcript.pyannote[2655].end |
11990.00534375 |
transcript.pyannote[2656].speaker |
SPEAKER_07 |
transcript.pyannote[2656].start |
11990.37659375 |
transcript.pyannote[2656].end |
11993.66721875 |
transcript.pyannote[2657].speaker |
SPEAKER_07 |
transcript.pyannote[2657].start |
11994.00471875 |
transcript.pyannote[2657].end |
11998.45971875 |
transcript.pyannote[2658].speaker |
SPEAKER_07 |
transcript.pyannote[2658].start |
12004.92284375 |
transcript.pyannote[2658].end |
12006.27284375 |
transcript.pyannote[2659].speaker |
SPEAKER_07 |
transcript.pyannote[2659].start |
12006.50909375 |
transcript.pyannote[2659].end |
12007.63971875 |
transcript.pyannote[2660].speaker |
SPEAKER_13 |
transcript.pyannote[2660].start |
12014.82846875 |
transcript.pyannote[2660].end |
12015.13221875 |
transcript.pyannote[2661].speaker |
SPEAKER_03 |
transcript.pyannote[2661].start |
12015.13221875 |
transcript.pyannote[2661].end |
12015.45284375 |
transcript.pyannote[2662].speaker |
SPEAKER_10 |
transcript.pyannote[2662].start |
12015.45284375 |
transcript.pyannote[2662].end |
12015.48659375 |
transcript.pyannote[2663].speaker |
SPEAKER_03 |
transcript.pyannote[2663].start |
12015.63846875 |
transcript.pyannote[2663].end |
12021.91596875 |
transcript.pyannote[2664].speaker |
SPEAKER_10 |
transcript.pyannote[2664].start |
12022.96221875 |
transcript.pyannote[2664].end |
12026.28659375 |
transcript.pyannote[2665].speaker |
SPEAKER_03 |
transcript.pyannote[2665].start |
12025.76346875 |
transcript.pyannote[2665].end |
12027.58596875 |
transcript.pyannote[2666].speaker |
SPEAKER_03 |
transcript.pyannote[2666].start |
12028.21034375 |
transcript.pyannote[2666].end |
12033.61034375 |
transcript.pyannote[2667].speaker |
SPEAKER_03 |
transcript.pyannote[2667].start |
12034.16721875 |
transcript.pyannote[2667].end |
12037.50846875 |
transcript.pyannote[2668].speaker |
SPEAKER_03 |
transcript.pyannote[2668].start |
12037.77846875 |
transcript.pyannote[2668].end |
12041.67659375 |
transcript.pyannote[2669].speaker |
SPEAKER_03 |
transcript.pyannote[2669].start |
12042.09846875 |
transcript.pyannote[2669].end |
12042.46971875 |
transcript.pyannote[2670].speaker |
SPEAKER_03 |
transcript.pyannote[2670].start |
12044.07284375 |
transcript.pyannote[2670].end |
12046.57034375 |
transcript.pyannote[2671].speaker |
SPEAKER_03 |
transcript.pyannote[2671].start |
12047.00909375 |
transcript.pyannote[2671].end |
12052.03784375 |
transcript.pyannote[2672].speaker |
SPEAKER_03 |
transcript.pyannote[2672].start |
12052.59471875 |
transcript.pyannote[2672].end |
12053.70846875 |
transcript.pyannote[2673].speaker |
SPEAKER_03 |
transcript.pyannote[2673].start |
12054.06284375 |
transcript.pyannote[2673].end |
12058.29846875 |
transcript.pyannote[2674].speaker |
SPEAKER_03 |
transcript.pyannote[2674].start |
12059.20971875 |
transcript.pyannote[2674].end |
12060.20534375 |
transcript.pyannote[2675].speaker |
SPEAKER_03 |
transcript.pyannote[2675].start |
12060.81284375 |
transcript.pyannote[2675].end |
12064.49159375 |
transcript.pyannote[2676].speaker |
SPEAKER_03 |
transcript.pyannote[2676].start |
12065.11596875 |
transcript.pyannote[2676].end |
12065.90909375 |
transcript.pyannote[2677].speaker |
SPEAKER_03 |
transcript.pyannote[2677].start |
12066.34784375 |
transcript.pyannote[2677].end |
12067.88346875 |
transcript.pyannote[2678].speaker |
SPEAKER_03 |
transcript.pyannote[2678].start |
12068.54159375 |
transcript.pyannote[2678].end |
12068.99721875 |
transcript.pyannote[2679].speaker |
SPEAKER_03 |
transcript.pyannote[2679].start |
12069.67221875 |
transcript.pyannote[2679].end |
12072.76034375 |
transcript.pyannote[2680].speaker |
SPEAKER_03 |
transcript.pyannote[2680].start |
12072.99659375 |
transcript.pyannote[2680].end |
12074.14409375 |
transcript.pyannote[2681].speaker |
SPEAKER_03 |
transcript.pyannote[2681].start |
12074.29596875 |
transcript.pyannote[2681].end |
12075.66284375 |
transcript.pyannote[2682].speaker |
SPEAKER_03 |
transcript.pyannote[2682].start |
12076.28721875 |
transcript.pyannote[2682].end |
12076.54034375 |
transcript.pyannote[2683].speaker |
SPEAKER_03 |
transcript.pyannote[2683].start |
12077.53596875 |
transcript.pyannote[2683].end |
12085.06221875 |
transcript.pyannote[2684].speaker |
SPEAKER_03 |
transcript.pyannote[2684].start |
12085.87221875 |
transcript.pyannote[2684].end |
12087.03659375 |
transcript.pyannote[2685].speaker |
SPEAKER_03 |
transcript.pyannote[2685].start |
12087.59346875 |
transcript.pyannote[2685].end |
12091.22159375 |
transcript.pyannote[2686].speaker |
SPEAKER_03 |
transcript.pyannote[2686].start |
12091.55909375 |
transcript.pyannote[2686].end |
12095.71034375 |
transcript.pyannote[2687].speaker |
SPEAKER_03 |
transcript.pyannote[2687].start |
12096.58784375 |
transcript.pyannote[2687].end |
12097.00971875 |
transcript.pyannote[2688].speaker |
SPEAKER_03 |
transcript.pyannote[2688].start |
12097.38096875 |
transcript.pyannote[2688].end |
12098.12346875 |
transcript.pyannote[2689].speaker |
SPEAKER_10 |
transcript.pyannote[2689].start |
12097.44846875 |
transcript.pyannote[2689].end |
12097.80284375 |
transcript.pyannote[2690].speaker |
SPEAKER_10 |
transcript.pyannote[2690].start |
12099.10221875 |
transcript.pyannote[2690].end |
12102.59534375 |
transcript.pyannote[2691].speaker |
SPEAKER_03 |
transcript.pyannote[2691].start |
12101.46471875 |
transcript.pyannote[2691].end |
12102.00471875 |
transcript.pyannote[2692].speaker |
SPEAKER_13 |
transcript.pyannote[2692].start |
12102.00471875 |
transcript.pyannote[2692].end |
12102.07221875 |
transcript.pyannote[2693].speaker |
SPEAKER_03 |
transcript.pyannote[2693].start |
12102.27471875 |
transcript.pyannote[2693].end |
12111.47159375 |
transcript.pyannote[2694].speaker |
SPEAKER_13 |
transcript.pyannote[2694].start |
12109.96971875 |
transcript.pyannote[2694].end |
12110.59409375 |
transcript.pyannote[2695].speaker |
SPEAKER_13 |
transcript.pyannote[2695].start |
12111.42096875 |
transcript.pyannote[2695].end |
12111.45471875 |
transcript.pyannote[2696].speaker |
SPEAKER_13 |
transcript.pyannote[2696].start |
12111.47159375 |
transcript.pyannote[2696].end |
12111.80909375 |
transcript.pyannote[2697].speaker |
SPEAKER_03 |
transcript.pyannote[2697].start |
12111.67409375 |
transcript.pyannote[2697].end |
12128.00909375 |
transcript.pyannote[2698].speaker |
SPEAKER_10 |
transcript.pyannote[2698].start |
12121.96784375 |
transcript.pyannote[2698].end |
12124.27971875 |
transcript.pyannote[2699].speaker |
SPEAKER_03 |
transcript.pyannote[2699].start |
12128.29596875 |
transcript.pyannote[2699].end |
12128.95409375 |
transcript.pyannote[2700].speaker |
SPEAKER_10 |
transcript.pyannote[2700].start |
12129.15659375 |
transcript.pyannote[2700].end |
12139.93971875 |
transcript.pyannote[2701].speaker |
SPEAKER_03 |
transcript.pyannote[2701].start |
12140.22659375 |
transcript.pyannote[2701].end |
12161.20221875 |
transcript.pyannote[2702].speaker |
SPEAKER_10 |
transcript.pyannote[2702].start |
12144.76596875 |
transcript.pyannote[2702].end |
12144.81659375 |
transcript.pyannote[2703].speaker |
SPEAKER_10 |
transcript.pyannote[2703].start |
12144.83346875 |
transcript.pyannote[2703].end |
12144.98534375 |
transcript.pyannote[2704].speaker |
SPEAKER_13 |
transcript.pyannote[2704].start |
12158.21534375 |
transcript.pyannote[2704].end |
12161.38784375 |
transcript.pyannote[2705].speaker |
SPEAKER_13 |
transcript.pyannote[2705].start |
12161.50596875 |
transcript.pyannote[2705].end |
12161.65784375 |
transcript.pyannote[2706].speaker |
SPEAKER_03 |
transcript.pyannote[2706].start |
12161.86034375 |
transcript.pyannote[2706].end |
12164.05409375 |
transcript.pyannote[2707].speaker |
SPEAKER_03 |
transcript.pyannote[2707].start |
12164.67846875 |
transcript.pyannote[2707].end |
12168.30659375 |
transcript.pyannote[2708].speaker |
SPEAKER_13 |
transcript.pyannote[2708].start |
12167.98596875 |
transcript.pyannote[2708].end |
12168.27284375 |
transcript.pyannote[2709].speaker |
SPEAKER_13 |
transcript.pyannote[2709].start |
12168.30659375 |
transcript.pyannote[2709].end |
12168.34034375 |
transcript.pyannote[2710].speaker |
SPEAKER_03 |
transcript.pyannote[2710].start |
12169.11659375 |
transcript.pyannote[2710].end |
12171.59721875 |
transcript.pyannote[2711].speaker |
SPEAKER_03 |
transcript.pyannote[2711].start |
12172.40721875 |
transcript.pyannote[2711].end |
12177.87471875 |
transcript.pyannote[2712].speaker |
SPEAKER_03 |
transcript.pyannote[2712].start |
12178.29659375 |
transcript.pyannote[2712].end |
12181.11471875 |
transcript.pyannote[2713].speaker |
SPEAKER_03 |
transcript.pyannote[2713].start |
12181.28346875 |
transcript.pyannote[2713].end |
12184.62471875 |
transcript.pyannote[2714].speaker |
SPEAKER_03 |
transcript.pyannote[2714].start |
12185.51909375 |
transcript.pyannote[2714].end |
12189.95721875 |
transcript.pyannote[2715].speaker |
SPEAKER_10 |
transcript.pyannote[2715].start |
12190.42971875 |
transcript.pyannote[2715].end |
12197.39909375 |
transcript.pyannote[2716].speaker |
SPEAKER_03 |
transcript.pyannote[2716].start |
12195.69471875 |
transcript.pyannote[2716].end |
12197.02784375 |
transcript.pyannote[2717].speaker |
SPEAKER_03 |
transcript.pyannote[2717].start |
12197.06159375 |
transcript.pyannote[2717].end |
12199.77846875 |
transcript.pyannote[2718].speaker |
SPEAKER_03 |
transcript.pyannote[2718].start |
12200.68971875 |
transcript.pyannote[2718].end |
12201.29721875 |
transcript.pyannote[2719].speaker |
SPEAKER_10 |
transcript.pyannote[2719].start |
12201.93846875 |
transcript.pyannote[2719].end |
12204.23346875 |
transcript.pyannote[2720].speaker |
SPEAKER_03 |
transcript.pyannote[2720].start |
12203.62596875 |
transcript.pyannote[2720].end |
12209.31284375 |
transcript.pyannote[2721].speaker |
SPEAKER_03 |
transcript.pyannote[2721].start |
12210.93284375 |
transcript.pyannote[2721].end |
12227.75721875 |
transcript.pyannote[2722].speaker |
SPEAKER_03 |
transcript.pyannote[2722].start |
12228.02721875 |
transcript.pyannote[2722].end |
12231.79034375 |
transcript.pyannote[2723].speaker |
SPEAKER_03 |
transcript.pyannote[2723].start |
12232.76909375 |
transcript.pyannote[2723].end |
12233.66346875 |
transcript.pyannote[2724].speaker |
SPEAKER_03 |
transcript.pyannote[2724].start |
12234.69284375 |
transcript.pyannote[2724].end |
12239.06346875 |
transcript.pyannote[2725].speaker |
SPEAKER_10 |
transcript.pyannote[2725].start |
12239.58659375 |
transcript.pyannote[2725].end |
12241.54409375 |
transcript.pyannote[2726].speaker |
SPEAKER_03 |
transcript.pyannote[2726].start |
12241.22346875 |
transcript.pyannote[2726].end |
12242.30346875 |
transcript.pyannote[2727].speaker |
SPEAKER_03 |
transcript.pyannote[2727].start |
12242.67471875 |
transcript.pyannote[2727].end |
12243.70409375 |
transcript.pyannote[2728].speaker |
SPEAKER_03 |
transcript.pyannote[2728].start |
12244.09221875 |
transcript.pyannote[2728].end |
12254.21721875 |
transcript.pyannote[2729].speaker |
SPEAKER_03 |
transcript.pyannote[2729].start |
12254.47034375 |
transcript.pyannote[2729].end |
12257.99721875 |
transcript.pyannote[2730].speaker |
SPEAKER_03 |
transcript.pyannote[2730].start |
12258.23346875 |
transcript.pyannote[2730].end |
12258.67221875 |
transcript.pyannote[2731].speaker |
SPEAKER_03 |
transcript.pyannote[2731].start |
12259.11096875 |
transcript.pyannote[2731].end |
12272.93159375 |
transcript.pyannote[2732].speaker |
SPEAKER_03 |
transcript.pyannote[2732].start |
12273.08346875 |
transcript.pyannote[2732].end |
12275.68221875 |
transcript.pyannote[2733].speaker |
SPEAKER_10 |
transcript.pyannote[2733].start |
12274.29846875 |
transcript.pyannote[2733].end |
12276.28971875 |
transcript.pyannote[2734].speaker |
SPEAKER_10 |
transcript.pyannote[2734].start |
12276.62721875 |
transcript.pyannote[2734].end |
12288.01784375 |
transcript.pyannote[2735].speaker |
SPEAKER_03 |
transcript.pyannote[2735].start |
12286.81971875 |
transcript.pyannote[2735].end |
12288.84471875 |
transcript.pyannote[2736].speaker |
SPEAKER_10 |
transcript.pyannote[2736].start |
12288.11909375 |
transcript.pyannote[2736].end |
12288.40596875 |
transcript.pyannote[2737].speaker |
SPEAKER_10 |
transcript.pyannote[2737].start |
12288.64221875 |
transcript.pyannote[2737].end |
12296.20221875 |
transcript.pyannote[2738].speaker |
SPEAKER_10 |
transcript.pyannote[2738].start |
12296.30346875 |
transcript.pyannote[2738].end |
12298.04159375 |
transcript.pyannote[2739].speaker |
SPEAKER_03 |
transcript.pyannote[2739].start |
12298.53096875 |
transcript.pyannote[2739].end |
12303.96471875 |
transcript.pyannote[2740].speaker |
SPEAKER_03 |
transcript.pyannote[2740].start |
12304.16721875 |
transcript.pyannote[2740].end |
12309.95534375 |
transcript.pyannote[2741].speaker |
SPEAKER_03 |
transcript.pyannote[2741].start |
12310.51221875 |
transcript.pyannote[2741].end |
12311.91284375 |
transcript.pyannote[2742].speaker |
SPEAKER_03 |
transcript.pyannote[2742].start |
12311.98034375 |
transcript.pyannote[2742].end |
12325.93596875 |
transcript.pyannote[2743].speaker |
SPEAKER_03 |
transcript.pyannote[2743].start |
12326.40846875 |
transcript.pyannote[2743].end |
12328.66971875 |
transcript.pyannote[2744].speaker |
SPEAKER_03 |
transcript.pyannote[2744].start |
12329.09159375 |
transcript.pyannote[2744].end |
12331.01534375 |
transcript.pyannote[2745].speaker |
SPEAKER_03 |
transcript.pyannote[2745].start |
12331.30221875 |
transcript.pyannote[2745].end |
12332.07846875 |
transcript.pyannote[2746].speaker |
SPEAKER_03 |
transcript.pyannote[2746].start |
12332.63534375 |
transcript.pyannote[2746].end |
12336.11159375 |
transcript.pyannote[2747].speaker |
SPEAKER_03 |
transcript.pyannote[2747].start |
12336.82034375 |
transcript.pyannote[2747].end |
12342.55784375 |
transcript.pyannote[2748].speaker |
SPEAKER_03 |
transcript.pyannote[2748].start |
12342.96284375 |
transcript.pyannote[2748].end |
12345.93284375 |
transcript.pyannote[2749].speaker |
SPEAKER_10 |
transcript.pyannote[2749].start |
12346.60784375 |
transcript.pyannote[2749].end |
12348.70034375 |
transcript.pyannote[2750].speaker |
SPEAKER_03 |
transcript.pyannote[2750].start |
12347.97471875 |
transcript.pyannote[2750].end |
12352.49721875 |
transcript.pyannote[2751].speaker |
SPEAKER_03 |
transcript.pyannote[2751].start |
12352.85159375 |
transcript.pyannote[2751].end |
12360.66471875 |
transcript.pyannote[2752].speaker |
SPEAKER_03 |
transcript.pyannote[2752].start |
12360.71534375 |
transcript.pyannote[2752].end |
12360.74909375 |
transcript.pyannote[2753].speaker |
SPEAKER_13 |
transcript.pyannote[2753].start |
12360.74909375 |
transcript.pyannote[2753].end |
12361.22159375 |
transcript.pyannote[2754].speaker |
SPEAKER_03 |
transcript.pyannote[2754].start |
12360.78284375 |
transcript.pyannote[2754].end |
12361.00221875 |
transcript.pyannote[2755].speaker |
SPEAKER_03 |
transcript.pyannote[2755].start |
12361.66034375 |
transcript.pyannote[2755].end |
12362.04846875 |
transcript.pyannote[2756].speaker |
SPEAKER_03 |
transcript.pyannote[2756].start |
12362.89221875 |
transcript.pyannote[2756].end |
12363.02721875 |
transcript.pyannote[2757].speaker |
SPEAKER_07 |
transcript.pyannote[2757].start |
12363.02721875 |
transcript.pyannote[2757].end |
12363.66846875 |
transcript.pyannote[2758].speaker |
SPEAKER_07 |
transcript.pyannote[2758].start |
12367.16159375 |
transcript.pyannote[2758].end |
12369.97971875 |
transcript.pyannote[2759].speaker |
SPEAKER_17 |
transcript.pyannote[2759].start |
12370.99221875 |
transcript.pyannote[2759].end |
12371.29596875 |
transcript.pyannote[2760].speaker |
SPEAKER_17 |
transcript.pyannote[2760].start |
12372.49409375 |
transcript.pyannote[2760].end |
12373.13534375 |
transcript.pyannote[2761].speaker |
SPEAKER_07 |
transcript.pyannote[2761].start |
12375.09284375 |
transcript.pyannote[2761].end |
12375.27846875 |
transcript.pyannote[2762].speaker |
SPEAKER_17 |
transcript.pyannote[2762].start |
12378.07971875 |
transcript.pyannote[2762].end |
12379.75034375 |
transcript.pyannote[2763].speaker |
SPEAKER_07 |
transcript.pyannote[2763].start |
12380.22284375 |
transcript.pyannote[2763].end |
12381.33659375 |
transcript.pyannote[2764].speaker |
SPEAKER_17 |
transcript.pyannote[2764].start |
12388.01909375 |
transcript.pyannote[2764].end |
12397.41846875 |
transcript.pyannote[2765].speaker |
SPEAKER_13 |
transcript.pyannote[2765].start |
12397.41846875 |
transcript.pyannote[2765].end |
12397.77284375 |
transcript.pyannote[2766].speaker |
SPEAKER_17 |
transcript.pyannote[2766].start |
12397.73909375 |
transcript.pyannote[2766].end |
12403.25721875 |
transcript.pyannote[2767].speaker |
SPEAKER_17 |
transcript.pyannote[2767].start |
12403.44284375 |
transcript.pyannote[2767].end |
12414.49596875 |
transcript.pyannote[2768].speaker |
SPEAKER_17 |
transcript.pyannote[2768].start |
12414.91784375 |
transcript.pyannote[2768].end |
12419.11971875 |
transcript.pyannote[2769].speaker |
SPEAKER_17 |
transcript.pyannote[2769].start |
12420.18284375 |
transcript.pyannote[2769].end |
12426.34221875 |
transcript.pyannote[2770].speaker |
SPEAKER_10 |
transcript.pyannote[2770].start |
12426.34221875 |
transcript.pyannote[2770].end |
12426.40971875 |
transcript.pyannote[2771].speaker |
SPEAKER_17 |
transcript.pyannote[2771].start |
12426.40971875 |
transcript.pyannote[2771].end |
12428.14784375 |
transcript.pyannote[2772].speaker |
SPEAKER_10 |
transcript.pyannote[2772].start |
12426.89909375 |
transcript.pyannote[2772].end |
12428.82284375 |
transcript.pyannote[2773].speaker |
SPEAKER_17 |
transcript.pyannote[2773].start |
12428.82284375 |
transcript.pyannote[2773].end |
12438.86346875 |
transcript.pyannote[2774].speaker |
SPEAKER_17 |
transcript.pyannote[2774].start |
12439.53846875 |
transcript.pyannote[2774].end |
12440.44971875 |
transcript.pyannote[2775].speaker |
SPEAKER_17 |
transcript.pyannote[2775].start |
12440.63534375 |
transcript.pyannote[2775].end |
12445.73159375 |
transcript.pyannote[2776].speaker |
SPEAKER_15 |
transcript.pyannote[2776].start |
12441.15846875 |
transcript.pyannote[2776].end |
12442.44096875 |
transcript.pyannote[2777].speaker |
SPEAKER_17 |
transcript.pyannote[2777].start |
12446.08596875 |
transcript.pyannote[2777].end |
12450.81096875 |
transcript.pyannote[2778].speaker |
SPEAKER_10 |
transcript.pyannote[2778].start |
12449.34284375 |
transcript.pyannote[2778].end |
12450.82784375 |
transcript.pyannote[2779].speaker |
SPEAKER_17 |
transcript.pyannote[2779].start |
12450.82784375 |
transcript.pyannote[2779].end |
12450.89534375 |
transcript.pyannote[2780].speaker |
SPEAKER_10 |
transcript.pyannote[2780].start |
12450.89534375 |
transcript.pyannote[2780].end |
12451.38471875 |
transcript.pyannote[2781].speaker |
SPEAKER_17 |
transcript.pyannote[2781].start |
12451.01346875 |
transcript.pyannote[2781].end |
12451.35096875 |
transcript.pyannote[2782].speaker |
SPEAKER_17 |
transcript.pyannote[2782].start |
12451.38471875 |
transcript.pyannote[2782].end |
12451.97534375 |
transcript.pyannote[2783].speaker |
SPEAKER_10 |
transcript.pyannote[2783].start |
12451.97534375 |
transcript.pyannote[2783].end |
12470.09909375 |
transcript.pyannote[2784].speaker |
SPEAKER_17 |
transcript.pyannote[2784].start |
12453.81471875 |
transcript.pyannote[2784].end |
12454.03409375 |
transcript.pyannote[2785].speaker |
SPEAKER_17 |
transcript.pyannote[2785].start |
12462.48846875 |
transcript.pyannote[2785].end |
12467.09534375 |
transcript.pyannote[2786].speaker |
SPEAKER_17 |
transcript.pyannote[2786].start |
12468.78284375 |
transcript.pyannote[2786].end |
12469.17096875 |
transcript.pyannote[2787].speaker |
SPEAKER_10 |
transcript.pyannote[2787].start |
12470.60534375 |
transcript.pyannote[2787].end |
12480.81471875 |
transcript.pyannote[2788].speaker |
SPEAKER_10 |
transcript.pyannote[2788].start |
12481.48971875 |
transcript.pyannote[2788].end |
12488.44221875 |
transcript.pyannote[2789].speaker |
SPEAKER_17 |
transcript.pyannote[2789].start |
12487.51409375 |
transcript.pyannote[2789].end |
12488.29034375 |
transcript.pyannote[2790].speaker |
SPEAKER_17 |
transcript.pyannote[2790].start |
12488.44221875 |
transcript.pyannote[2790].end |
12488.49284375 |
transcript.pyannote[2791].speaker |
SPEAKER_10 |
transcript.pyannote[2791].start |
12488.49284375 |
transcript.pyannote[2791].end |
12488.77971875 |
transcript.pyannote[2792].speaker |
SPEAKER_17 |
transcript.pyannote[2792].start |
12488.77971875 |
transcript.pyannote[2792].end |
12509.85659375 |
transcript.pyannote[2793].speaker |
SPEAKER_17 |
transcript.pyannote[2793].start |
12510.37971875 |
transcript.pyannote[2793].end |
12514.71659375 |
transcript.pyannote[2794].speaker |
SPEAKER_17 |
transcript.pyannote[2794].start |
12514.95284375 |
transcript.pyannote[2794].end |
12518.19284375 |
transcript.pyannote[2795].speaker |
SPEAKER_17 |
transcript.pyannote[2795].start |
12518.80034375 |
transcript.pyannote[2795].end |
12522.19221875 |
transcript.pyannote[2796].speaker |
SPEAKER_17 |
transcript.pyannote[2796].start |
12522.61409375 |
transcript.pyannote[2796].end |
12528.13221875 |
transcript.pyannote[2797].speaker |
SPEAKER_17 |
transcript.pyannote[2797].start |
12528.38534375 |
transcript.pyannote[2797].end |
12530.07284375 |
transcript.pyannote[2798].speaker |
SPEAKER_17 |
transcript.pyannote[2798].start |
12530.89971875 |
transcript.pyannote[2798].end |
12535.94534375 |
transcript.pyannote[2799].speaker |
SPEAKER_10 |
transcript.pyannote[2799].start |
12536.26596875 |
transcript.pyannote[2799].end |
12544.58534375 |
transcript.pyannote[2800].speaker |
SPEAKER_17 |
transcript.pyannote[2800].start |
12538.96596875 |
transcript.pyannote[2800].end |
12541.63221875 |
transcript.pyannote[2801].speaker |
SPEAKER_17 |
transcript.pyannote[2801].start |
12542.12159375 |
transcript.pyannote[2801].end |
12542.59409375 |
transcript.pyannote[2802].speaker |
SPEAKER_17 |
transcript.pyannote[2802].start |
12542.76284375 |
transcript.pyannote[2802].end |
12542.96534375 |
transcript.pyannote[2803].speaker |
SPEAKER_17 |
transcript.pyannote[2803].start |
12544.04534375 |
transcript.pyannote[2803].end |
12544.16346875 |
transcript.pyannote[2804].speaker |
SPEAKER_10 |
transcript.pyannote[2804].start |
12544.61909375 |
transcript.pyannote[2804].end |
12544.65284375 |
transcript.pyannote[2805].speaker |
SPEAKER_10 |
transcript.pyannote[2805].start |
12544.75409375 |
transcript.pyannote[2805].end |
12544.77096875 |
transcript.pyannote[2806].speaker |
SPEAKER_10 |
transcript.pyannote[2806].start |
12544.78784375 |
transcript.pyannote[2806].end |
12546.57659375 |
transcript.pyannote[2807].speaker |
SPEAKER_10 |
transcript.pyannote[2807].start |
12546.99846875 |
transcript.pyannote[2807].end |
12548.63534375 |
transcript.pyannote[2808].speaker |
SPEAKER_10 |
transcript.pyannote[2808].start |
12550.91346875 |
transcript.pyannote[2808].end |
12551.03159375 |
transcript.pyannote[2809].speaker |
SPEAKER_17 |
transcript.pyannote[2809].start |
12551.03159375 |
transcript.pyannote[2809].end |
12552.68534375 |
transcript.pyannote[2810].speaker |
SPEAKER_17 |
transcript.pyannote[2810].start |
12553.24221875 |
transcript.pyannote[2810].end |
12555.60471875 |
transcript.pyannote[2811].speaker |
SPEAKER_17 |
transcript.pyannote[2811].start |
12555.97596875 |
transcript.pyannote[2811].end |
12556.97159375 |
transcript.pyannote[2812].speaker |
SPEAKER_17 |
transcript.pyannote[2812].start |
12557.71409375 |
transcript.pyannote[2812].end |
12563.75534375 |
transcript.pyannote[2813].speaker |
SPEAKER_17 |
transcript.pyannote[2813].start |
12565.51034375 |
transcript.pyannote[2813].end |
12566.43846875 |
transcript.pyannote[2814].speaker |
SPEAKER_17 |
transcript.pyannote[2814].start |
12567.70409375 |
transcript.pyannote[2814].end |
12568.02471875 |
transcript.pyannote[2815].speaker |
SPEAKER_17 |
transcript.pyannote[2815].start |
12568.54784375 |
transcript.pyannote[2815].end |
12571.85534375 |
transcript.pyannote[2816].speaker |
SPEAKER_17 |
transcript.pyannote[2816].start |
12572.68221875 |
transcript.pyannote[2816].end |
12584.95034375 |
transcript.pyannote[2817].speaker |
SPEAKER_17 |
transcript.pyannote[2817].start |
12585.13596875 |
transcript.pyannote[2817].end |
12585.76034375 |
transcript.pyannote[2818].speaker |
SPEAKER_17 |
transcript.pyannote[2818].start |
12585.94596875 |
transcript.pyannote[2818].end |
12586.53659375 |
transcript.pyannote[2819].speaker |
SPEAKER_17 |
transcript.pyannote[2819].start |
12587.29596875 |
transcript.pyannote[2819].end |
12591.64971875 |
transcript.pyannote[2820].speaker |
SPEAKER_17 |
transcript.pyannote[2820].start |
12591.93659375 |
transcript.pyannote[2820].end |
12592.35846875 |
transcript.pyannote[2821].speaker |
SPEAKER_17 |
transcript.pyannote[2821].start |
12593.50596875 |
transcript.pyannote[2821].end |
12594.65346875 |
transcript.pyannote[2822].speaker |
SPEAKER_17 |
transcript.pyannote[2822].start |
12594.97409375 |
transcript.pyannote[2822].end |
12595.51409375 |
transcript.pyannote[2823].speaker |
SPEAKER_10 |
transcript.pyannote[2823].start |
12595.02471875 |
transcript.pyannote[2823].end |
12596.27346875 |
transcript.pyannote[2824].speaker |
SPEAKER_17 |
transcript.pyannote[2824].start |
12595.98659375 |
transcript.pyannote[2824].end |
12599.02409375 |
transcript.pyannote[2825].speaker |
SPEAKER_17 |
transcript.pyannote[2825].start |
12599.36159375 |
transcript.pyannote[2825].end |
12606.90471875 |
transcript.pyannote[2826].speaker |
SPEAKER_10 |
transcript.pyannote[2826].start |
12601.65659375 |
transcript.pyannote[2826].end |
12603.66471875 |
transcript.pyannote[2827].speaker |
SPEAKER_10 |
transcript.pyannote[2827].start |
12606.90471875 |
transcript.pyannote[2827].end |
12606.92159375 |
transcript.pyannote[2828].speaker |
SPEAKER_17 |
transcript.pyannote[2828].start |
12608.47409375 |
transcript.pyannote[2828].end |
12608.49096875 |
transcript.pyannote[2829].speaker |
SPEAKER_10 |
transcript.pyannote[2829].start |
12608.49096875 |
transcript.pyannote[2829].end |
12620.26971875 |
transcript.pyannote[2830].speaker |
SPEAKER_10 |
transcript.pyannote[2830].start |
12620.87721875 |
transcript.pyannote[2830].end |
12636.40221875 |
transcript.pyannote[2831].speaker |
SPEAKER_17 |
transcript.pyannote[2831].start |
12626.20971875 |
transcript.pyannote[2831].end |
12626.91846875 |
transcript.pyannote[2832].speaker |
SPEAKER_17 |
transcript.pyannote[2832].start |
12636.03096875 |
transcript.pyannote[2832].end |
12636.33471875 |
transcript.pyannote[2833].speaker |
SPEAKER_17 |
transcript.pyannote[2833].start |
12636.40221875 |
transcript.pyannote[2833].end |
12638.91659375 |
transcript.pyannote[2834].speaker |
SPEAKER_17 |
transcript.pyannote[2834].start |
12639.22034375 |
transcript.pyannote[2834].end |
12642.61221875 |
transcript.pyannote[2835].speaker |
SPEAKER_10 |
transcript.pyannote[2835].start |
12642.61221875 |
transcript.pyannote[2835].end |
12642.62909375 |
transcript.pyannote[2836].speaker |
SPEAKER_17 |
transcript.pyannote[2836].start |
12643.42221875 |
transcript.pyannote[2836].end |
12643.43909375 |
transcript.pyannote[2837].speaker |
SPEAKER_10 |
transcript.pyannote[2837].start |
12643.43909375 |
transcript.pyannote[2837].end |
12644.09721875 |
transcript.pyannote[2838].speaker |
SPEAKER_10 |
transcript.pyannote[2838].start |
12644.73846875 |
transcript.pyannote[2838].end |
12646.94909375 |
transcript.pyannote[2839].speaker |
SPEAKER_10 |
transcript.pyannote[2839].start |
12647.30346875 |
transcript.pyannote[2839].end |
12652.31534375 |
transcript.pyannote[2840].speaker |
SPEAKER_10 |
transcript.pyannote[2840].start |
12653.19284375 |
transcript.pyannote[2840].end |
12653.37846875 |
transcript.pyannote[2841].speaker |
SPEAKER_10 |
transcript.pyannote[2841].start |
12653.76659375 |
transcript.pyannote[2841].end |
12655.18409375 |
transcript.pyannote[2842].speaker |
SPEAKER_10 |
transcript.pyannote[2842].start |
12655.74096875 |
transcript.pyannote[2842].end |
12660.87096875 |
transcript.pyannote[2843].speaker |
SPEAKER_10 |
transcript.pyannote[2843].start |
12661.15784375 |
transcript.pyannote[2843].end |
12672.02534375 |
transcript.pyannote[2844].speaker |
SPEAKER_17 |
transcript.pyannote[2844].start |
12672.02534375 |
transcript.pyannote[2844].end |
12675.33284375 |
transcript.pyannote[2845].speaker |
SPEAKER_13 |
transcript.pyannote[2845].start |
12674.96159375 |
transcript.pyannote[2845].end |
12675.46784375 |
transcript.pyannote[2846].speaker |
SPEAKER_17 |
transcript.pyannote[2846].start |
12675.46784375 |
transcript.pyannote[2846].end |
12678.06659375 |
transcript.pyannote[2847].speaker |
SPEAKER_17 |
transcript.pyannote[2847].start |
12679.97346875 |
transcript.pyannote[2847].end |
12689.05221875 |
transcript.pyannote[2848].speaker |
SPEAKER_17 |
transcript.pyannote[2848].start |
12689.74409375 |
transcript.pyannote[2848].end |
12694.28346875 |
transcript.pyannote[2849].speaker |
SPEAKER_17 |
transcript.pyannote[2849].start |
12695.07659375 |
transcript.pyannote[2849].end |
12696.76409375 |
transcript.pyannote[2850].speaker |
SPEAKER_17 |
transcript.pyannote[2850].start |
12696.79784375 |
transcript.pyannote[2850].end |
12706.39971875 |
transcript.pyannote[2851].speaker |
SPEAKER_17 |
transcript.pyannote[2851].start |
12706.97346875 |
transcript.pyannote[2851].end |
12708.64409375 |
transcript.pyannote[2852].speaker |
SPEAKER_10 |
transcript.pyannote[2852].start |
12708.64409375 |
transcript.pyannote[2852].end |
12708.66096875 |
transcript.pyannote[2853].speaker |
SPEAKER_17 |
transcript.pyannote[2853].start |
12708.91409375 |
transcript.pyannote[2853].end |
12709.97721875 |
transcript.pyannote[2854].speaker |
SPEAKER_10 |
transcript.pyannote[2854].start |
12709.97721875 |
transcript.pyannote[2854].end |
12710.73659375 |
transcript.pyannote[2855].speaker |
SPEAKER_17 |
transcript.pyannote[2855].start |
12711.39471875 |
transcript.pyannote[2855].end |
12711.41159375 |
transcript.pyannote[2856].speaker |
SPEAKER_10 |
transcript.pyannote[2856].start |
12711.41159375 |
transcript.pyannote[2856].end |
12716.15346875 |
transcript.pyannote[2857].speaker |
SPEAKER_10 |
transcript.pyannote[2857].start |
12716.67659375 |
transcript.pyannote[2857].end |
12731.50971875 |
transcript.pyannote[2858].speaker |
SPEAKER_17 |
transcript.pyannote[2858].start |
12730.93596875 |
transcript.pyannote[2858].end |
12742.54596875 |
transcript.pyannote[2859].speaker |
SPEAKER_10 |
transcript.pyannote[2859].start |
12736.35284375 |
transcript.pyannote[2859].end |
12737.16284375 |
transcript.pyannote[2860].speaker |
SPEAKER_10 |
transcript.pyannote[2860].start |
12742.54596875 |
transcript.pyannote[2860].end |
12742.90034375 |
transcript.pyannote[2861].speaker |
SPEAKER_17 |
transcript.pyannote[2861].start |
12742.90034375 |
transcript.pyannote[2861].end |
12744.97596875 |
transcript.pyannote[2862].speaker |
SPEAKER_10 |
transcript.pyannote[2862].start |
12744.97596875 |
transcript.pyannote[2862].end |
12750.66284375 |
transcript.pyannote[2863].speaker |
SPEAKER_10 |
transcript.pyannote[2863].start |
12750.79784375 |
transcript.pyannote[2863].end |
12752.02971875 |
transcript.pyannote[2864].speaker |
SPEAKER_17 |
transcript.pyannote[2864].start |
12752.02971875 |
transcript.pyannote[2864].end |
12770.55846875 |
transcript.pyannote[2865].speaker |
SPEAKER_10 |
transcript.pyannote[2865].start |
12753.41346875 |
transcript.pyannote[2865].end |
12753.66659375 |
transcript.pyannote[2866].speaker |
SPEAKER_17 |
transcript.pyannote[2866].start |
12771.75659375 |
transcript.pyannote[2866].end |
12778.16909375 |
transcript.pyannote[2867].speaker |
SPEAKER_17 |
transcript.pyannote[2867].start |
12778.59096875 |
transcript.pyannote[2867].end |
12798.87471875 |
transcript.pyannote[2868].speaker |
SPEAKER_13 |
transcript.pyannote[2868].start |
12795.17909375 |
transcript.pyannote[2868].end |
12795.31409375 |
transcript.pyannote[2869].speaker |
SPEAKER_17 |
transcript.pyannote[2869].start |
12799.11096875 |
transcript.pyannote[2869].end |
12799.63409375 |
transcript.pyannote[2870].speaker |
SPEAKER_10 |
transcript.pyannote[2870].start |
12799.63409375 |
transcript.pyannote[2870].end |
12799.65096875 |
transcript.pyannote[2871].speaker |
SPEAKER_17 |
transcript.pyannote[2871].start |
12799.65096875 |
transcript.pyannote[2871].end |
12799.97159375 |
transcript.pyannote[2872].speaker |
SPEAKER_10 |
transcript.pyannote[2872].start |
12799.97159375 |
transcript.pyannote[2872].end |
12800.30909375 |
transcript.pyannote[2873].speaker |
SPEAKER_17 |
transcript.pyannote[2873].start |
12800.03909375 |
transcript.pyannote[2873].end |
12800.05596875 |
transcript.pyannote[2874].speaker |
SPEAKER_17 |
transcript.pyannote[2874].start |
12800.30909375 |
transcript.pyannote[2874].end |
12800.86596875 |
transcript.pyannote[2875].speaker |
SPEAKER_10 |
transcript.pyannote[2875].start |
12800.86596875 |
transcript.pyannote[2875].end |
12800.89971875 |
transcript.pyannote[2876].speaker |
SPEAKER_17 |
transcript.pyannote[2876].start |
12800.89971875 |
transcript.pyannote[2876].end |
12800.95034375 |
transcript.pyannote[2877].speaker |
SPEAKER_10 |
transcript.pyannote[2877].start |
12800.95034375 |
transcript.pyannote[2877].end |
12820.08659375 |
transcript.pyannote[2878].speaker |
SPEAKER_17 |
transcript.pyannote[2878].start |
12801.23721875 |
transcript.pyannote[2878].end |
12802.50284375 |
transcript.pyannote[2879].speaker |
SPEAKER_00 |
transcript.pyannote[2879].start |
12808.57784375 |
transcript.pyannote[2879].end |
12808.59471875 |
transcript.pyannote[2880].speaker |
SPEAKER_00 |
transcript.pyannote[2880].start |
12808.62846875 |
transcript.pyannote[2880].end |
12808.67909375 |
transcript.pyannote[2881].speaker |
SPEAKER_13 |
transcript.pyannote[2881].start |
12808.81409375 |
transcript.pyannote[2881].end |
12808.86471875 |
transcript.pyannote[2882].speaker |
SPEAKER_17 |
transcript.pyannote[2882].start |
12808.86471875 |
transcript.pyannote[2882].end |
12809.97846875 |
transcript.pyannote[2883].speaker |
SPEAKER_13 |
transcript.pyannote[2883].start |
12809.97846875 |
transcript.pyannote[2883].end |
12810.02909375 |
transcript.pyannote[2884].speaker |
SPEAKER_17 |
transcript.pyannote[2884].start |
12819.22596875 |
transcript.pyannote[2884].end |
12824.37284375 |
transcript.pyannote[2885].speaker |
SPEAKER_17 |
transcript.pyannote[2885].start |
12825.08159375 |
transcript.pyannote[2885].end |
12826.02659375 |
transcript.pyannote[2886].speaker |
SPEAKER_17 |
transcript.pyannote[2886].start |
12826.66784375 |
transcript.pyannote[2886].end |
12833.48534375 |
transcript.pyannote[2887].speaker |
SPEAKER_10 |
transcript.pyannote[2887].start |
12826.83659375 |
transcript.pyannote[2887].end |
12827.74784375 |
transcript.pyannote[2888].speaker |
SPEAKER_17 |
transcript.pyannote[2888].start |
12833.56971875 |
transcript.pyannote[2888].end |
12833.58659375 |
transcript.pyannote[2889].speaker |
SPEAKER_10 |
transcript.pyannote[2889].start |
12833.58659375 |
transcript.pyannote[2889].end |
12833.60346875 |
transcript.pyannote[2890].speaker |
SPEAKER_17 |
transcript.pyannote[2890].start |
12833.60346875 |
transcript.pyannote[2890].end |
12833.62034375 |
transcript.pyannote[2891].speaker |
SPEAKER_10 |
transcript.pyannote[2891].start |
12833.62034375 |
transcript.pyannote[2891].end |
12833.94096875 |
transcript.pyannote[2892].speaker |
SPEAKER_17 |
transcript.pyannote[2892].start |
12833.94096875 |
transcript.pyannote[2892].end |
12843.64409375 |
transcript.pyannote[2893].speaker |
SPEAKER_10 |
transcript.pyannote[2893].start |
12836.03346875 |
transcript.pyannote[2893].end |
12836.06721875 |
transcript.pyannote[2894].speaker |
SPEAKER_10 |
transcript.pyannote[2894].start |
12836.97846875 |
transcript.pyannote[2894].end |
12852.50346875 |
transcript.pyannote[2895].speaker |
SPEAKER_10 |
transcript.pyannote[2895].start |
12852.95909375 |
transcript.pyannote[2895].end |
12860.02971875 |
transcript.pyannote[2896].speaker |
SPEAKER_17 |
transcript.pyannote[2896].start |
12860.02971875 |
transcript.pyannote[2896].end |
12862.15596875 |
transcript.pyannote[2897].speaker |
SPEAKER_17 |
transcript.pyannote[2897].start |
12862.74659375 |
transcript.pyannote[2897].end |
12874.76159375 |
transcript.pyannote[2898].speaker |
SPEAKER_17 |
transcript.pyannote[2898].start |
12875.33534375 |
transcript.pyannote[2898].end |
12890.18534375 |
transcript.pyannote[2899].speaker |
SPEAKER_17 |
transcript.pyannote[2899].start |
12890.37096875 |
transcript.pyannote[2899].end |
12901.79534375 |
transcript.pyannote[2900].speaker |
SPEAKER_00 |
transcript.pyannote[2900].start |
12893.42534375 |
transcript.pyannote[2900].end |
12893.47596875 |
transcript.pyannote[2901].speaker |
SPEAKER_13 |
transcript.pyannote[2901].start |
12893.47596875 |
transcript.pyannote[2901].end |
12893.74596875 |
transcript.pyannote[2902].speaker |
SPEAKER_10 |
transcript.pyannote[2902].start |
12902.41971875 |
transcript.pyannote[2902].end |
12908.12346875 |
transcript.pyannote[2903].speaker |
SPEAKER_10 |
transcript.pyannote[2903].start |
12908.14034375 |
transcript.pyannote[2903].end |
12913.27034375 |
transcript.pyannote[2904].speaker |
SPEAKER_10 |
transcript.pyannote[2904].start |
12913.42221875 |
transcript.pyannote[2904].end |
12913.94534375 |
transcript.pyannote[2905].speaker |
SPEAKER_10 |
transcript.pyannote[2905].start |
12914.36721875 |
transcript.pyannote[2905].end |
12918.45096875 |
transcript.pyannote[2906].speaker |
SPEAKER_17 |
transcript.pyannote[2906].start |
12914.63721875 |
transcript.pyannote[2906].end |
12916.72971875 |
transcript.pyannote[2907].speaker |
SPEAKER_10 |
transcript.pyannote[2907].start |
12918.97409375 |
transcript.pyannote[2907].end |
12919.44659375 |
transcript.pyannote[2908].speaker |
SPEAKER_10 |
transcript.pyannote[2908].start |
12919.54784375 |
transcript.pyannote[2908].end |
12922.02846875 |
transcript.pyannote[2909].speaker |
SPEAKER_17 |
transcript.pyannote[2909].start |
12922.02846875 |
transcript.pyannote[2909].end |
12922.92284375 |
transcript.pyannote[2910].speaker |
SPEAKER_10 |
transcript.pyannote[2910].start |
12922.92284375 |
transcript.pyannote[2910].end |
12922.97346875 |
transcript.pyannote[2911].speaker |
SPEAKER_10 |
transcript.pyannote[2911].start |
12923.19284375 |
transcript.pyannote[2911].end |
12923.26034375 |
transcript.pyannote[2912].speaker |
SPEAKER_17 |
transcript.pyannote[2912].start |
12923.26034375 |
transcript.pyannote[2912].end |
12926.48346875 |
transcript.pyannote[2913].speaker |
SPEAKER_17 |
transcript.pyannote[2913].start |
12926.83784375 |
transcript.pyannote[2913].end |
12927.76596875 |
transcript.pyannote[2914].speaker |
SPEAKER_07 |
transcript.pyannote[2914].start |
12929.23409375 |
transcript.pyannote[2914].end |
12930.34784375 |
transcript.pyannote[2915].speaker |
SPEAKER_07 |
transcript.pyannote[2915].start |
12934.06034375 |
transcript.pyannote[2915].end |
12934.43159375 |
transcript.pyannote[2916].speaker |
SPEAKER_07 |
transcript.pyannote[2916].start |
12935.08971875 |
transcript.pyannote[2916].end |
12940.86096875 |
transcript.pyannote[2917].speaker |
SPEAKER_07 |
transcript.pyannote[2917].start |
12941.11409375 |
transcript.pyannote[2917].end |
12943.62846875 |
transcript.pyannote[2918].speaker |
SPEAKER_07 |
transcript.pyannote[2918].start |
12944.06721875 |
transcript.pyannote[2918].end |
12947.74596875 |
transcript.pyannote[2919].speaker |
SPEAKER_07 |
transcript.pyannote[2919].start |
12948.42096875 |
transcript.pyannote[2919].end |
12951.74534375 |
transcript.pyannote[2920].speaker |
SPEAKER_07 |
transcript.pyannote[2920].start |
12951.79596875 |
transcript.pyannote[2920].end |
12953.55096875 |
transcript.pyannote[2921].speaker |
SPEAKER_07 |
transcript.pyannote[2921].start |
12953.65221875 |
transcript.pyannote[2921].end |
12957.24659375 |
transcript.pyannote[2922].speaker |
SPEAKER_07 |
transcript.pyannote[2922].start |
12957.46596875 |
transcript.pyannote[2922].end |
12959.28846875 |
transcript.pyannote[2923].speaker |
SPEAKER_07 |
transcript.pyannote[2923].start |
12959.60909375 |
transcript.pyannote[2923].end |
12961.39784375 |
transcript.pyannote[2924].speaker |
SPEAKER_17 |
transcript.pyannote[2924].start |
12974.81346875 |
transcript.pyannote[2924].end |
12976.26471875 |
transcript.pyannote[2925].speaker |
SPEAKER_07 |
transcript.pyannote[2925].start |
12976.53471875 |
transcript.pyannote[2925].end |
12977.69909375 |
transcript.pyannote[2926].speaker |
SPEAKER_17 |
transcript.pyannote[2926].start |
12984.44909375 |
transcript.pyannote[2926].end |
12984.97221875 |
transcript.pyannote[2927].speaker |
SPEAKER_17 |
transcript.pyannote[2927].start |
12985.44471875 |
transcript.pyannote[2927].end |
12985.81596875 |
transcript.pyannote[2928].speaker |
SPEAKER_17 |
transcript.pyannote[2928].start |
12986.10284375 |
transcript.pyannote[2928].end |
12988.58346875 |
transcript.pyannote[2929].speaker |
SPEAKER_17 |
transcript.pyannote[2929].start |
12989.56221875 |
transcript.pyannote[2929].end |
12990.40596875 |
transcript.pyannote[2930].speaker |
SPEAKER_17 |
transcript.pyannote[2930].start |
12990.60846875 |
transcript.pyannote[2930].end |
12993.94971875 |
transcript.pyannote[2931].speaker |
SPEAKER_17 |
transcript.pyannote[2931].start |
12994.69221875 |
transcript.pyannote[2931].end |
13000.46346875 |
transcript.pyannote[2932].speaker |
SPEAKER_10 |
transcript.pyannote[2932].start |
13002.10034375 |
transcript.pyannote[2932].end |
13010.14971875 |
transcript.pyannote[2933].speaker |
SPEAKER_17 |
transcript.pyannote[2933].start |
13006.96034375 |
transcript.pyannote[2933].end |
13008.20909375 |
transcript.pyannote[2934].speaker |
SPEAKER_10 |
transcript.pyannote[2934].start |
13010.55471875 |
transcript.pyannote[2934].end |
13014.31784375 |
transcript.pyannote[2935].speaker |
SPEAKER_17 |
transcript.pyannote[2935].start |
13010.62221875 |
transcript.pyannote[2935].end |
13010.90909375 |
transcript.pyannote[2936].speaker |
SPEAKER_17 |
transcript.pyannote[2936].start |
13014.77346875 |
transcript.pyannote[2936].end |
13017.74346875 |
transcript.pyannote[2937].speaker |
SPEAKER_10 |
transcript.pyannote[2937].start |
13016.52846875 |
transcript.pyannote[2937].end |
13016.95034375 |
transcript.pyannote[2938].speaker |
SPEAKER_17 |
transcript.pyannote[2938].start |
13018.03034375 |
transcript.pyannote[2938].end |
13022.75534375 |
transcript.pyannote[2939].speaker |
SPEAKER_17 |
transcript.pyannote[2939].start |
13023.12659375 |
transcript.pyannote[2939].end |
13024.40909375 |
transcript.pyannote[2940].speaker |
SPEAKER_17 |
transcript.pyannote[2940].start |
13024.61159375 |
transcript.pyannote[2940].end |
13026.40034375 |
transcript.pyannote[2941].speaker |
SPEAKER_17 |
transcript.pyannote[2941].start |
13026.80534375 |
transcript.pyannote[2941].end |
13032.08721875 |
transcript.pyannote[2942].speaker |
SPEAKER_17 |
transcript.pyannote[2942].start |
13032.76221875 |
transcript.pyannote[2942].end |
13038.12846875 |
transcript.pyannote[2943].speaker |
SPEAKER_17 |
transcript.pyannote[2943].start |
13038.66846875 |
transcript.pyannote[2943].end |
13043.25846875 |
transcript.pyannote[2944].speaker |
SPEAKER_17 |
transcript.pyannote[2944].start |
13043.44409375 |
transcript.pyannote[2944].end |
13047.05534375 |
transcript.pyannote[2945].speaker |
SPEAKER_17 |
transcript.pyannote[2945].start |
13047.40971875 |
transcript.pyannote[2945].end |
13050.53159375 |
transcript.pyannote[2946].speaker |
SPEAKER_17 |
transcript.pyannote[2946].start |
13050.90284375 |
transcript.pyannote[2946].end |
13055.52659375 |
transcript.pyannote[2947].speaker |
SPEAKER_17 |
transcript.pyannote[2947].start |
13055.86409375 |
transcript.pyannote[2947].end |
13057.85534375 |
transcript.pyannote[2948].speaker |
SPEAKER_17 |
transcript.pyannote[2948].start |
13058.39534375 |
transcript.pyannote[2948].end |
13059.62721875 |
transcript.pyannote[2949].speaker |
SPEAKER_17 |
transcript.pyannote[2949].start |
13060.53846875 |
transcript.pyannote[2949].end |
13062.76596875 |
transcript.pyannote[2950].speaker |
SPEAKER_17 |
transcript.pyannote[2950].start |
13063.33971875 |
transcript.pyannote[2950].end |
13066.95096875 |
transcript.pyannote[2951].speaker |
SPEAKER_17 |
transcript.pyannote[2951].start |
13067.28846875 |
transcript.pyannote[2951].end |
13068.26721875 |
transcript.pyannote[2952].speaker |
SPEAKER_17 |
transcript.pyannote[2952].start |
13068.97596875 |
transcript.pyannote[2952].end |
13070.96721875 |
transcript.pyannote[2953].speaker |
SPEAKER_10 |
transcript.pyannote[2953].start |
13070.96721875 |
transcript.pyannote[2953].end |
13071.23721875 |
transcript.pyannote[2954].speaker |
SPEAKER_10 |
transcript.pyannote[2954].start |
13071.69284375 |
transcript.pyannote[2954].end |
13080.01221875 |
transcript.pyannote[2955].speaker |
SPEAKER_10 |
transcript.pyannote[2955].start |
13081.31159375 |
transcript.pyannote[2955].end |
13081.90221875 |
transcript.pyannote[2956].speaker |
SPEAKER_10 |
transcript.pyannote[2956].start |
13082.52659375 |
transcript.pyannote[2956].end |
13084.80471875 |
transcript.pyannote[2957].speaker |
SPEAKER_10 |
transcript.pyannote[2957].start |
13085.24346875 |
transcript.pyannote[2957].end |
13086.98159375 |
transcript.pyannote[2958].speaker |
SPEAKER_10 |
transcript.pyannote[2958].start |
13087.47096875 |
transcript.pyannote[2958].end |
13089.41159375 |
transcript.pyannote[2959].speaker |
SPEAKER_17 |
transcript.pyannote[2959].start |
13090.06971875 |
transcript.pyannote[2959].end |
13091.53784375 |
transcript.pyannote[2960].speaker |
SPEAKER_10 |
transcript.pyannote[2960].start |
13090.08659375 |
transcript.pyannote[2960].end |
13091.18346875 |
transcript.pyannote[2961].speaker |
SPEAKER_17 |
transcript.pyannote[2961].start |
13091.94284375 |
transcript.pyannote[2961].end |
13094.27159375 |
transcript.pyannote[2962].speaker |
SPEAKER_17 |
transcript.pyannote[2962].start |
13095.11534375 |
transcript.pyannote[2962].end |
13098.99659375 |
transcript.pyannote[2963].speaker |
SPEAKER_17 |
transcript.pyannote[2963].start |
13099.35096875 |
transcript.pyannote[2963].end |
13101.08909375 |
transcript.pyannote[2964].speaker |
SPEAKER_17 |
transcript.pyannote[2964].start |
13101.66284375 |
transcript.pyannote[2964].end |
13102.82721875 |
transcript.pyannote[2965].speaker |
SPEAKER_00 |
transcript.pyannote[2965].start |
13102.67534375 |
transcript.pyannote[2965].end |
13102.81034375 |
transcript.pyannote[2966].speaker |
SPEAKER_00 |
transcript.pyannote[2966].start |
13102.82721875 |
transcript.pyannote[2966].end |
13103.94096875 |
transcript.pyannote[2967].speaker |
SPEAKER_17 |
transcript.pyannote[2967].start |
13104.88596875 |
transcript.pyannote[2967].end |
13105.96596875 |
transcript.pyannote[2968].speaker |
SPEAKER_10 |
transcript.pyannote[2968].start |
13105.96596875 |
transcript.pyannote[2968].end |
13106.97846875 |
transcript.pyannote[2969].speaker |
SPEAKER_00 |
transcript.pyannote[2969].start |
13108.04159375 |
transcript.pyannote[2969].end |
13123.85346875 |
transcript.pyannote[2970].speaker |
SPEAKER_00 |
transcript.pyannote[2970].start |
13123.92096875 |
transcript.pyannote[2970].end |
13125.18659375 |
transcript.pyannote[2971].speaker |
SPEAKER_00 |
transcript.pyannote[2971].start |
13125.81096875 |
transcript.pyannote[2971].end |
13126.18221875 |
transcript.pyannote[2972].speaker |
SPEAKER_00 |
transcript.pyannote[2972].start |
13126.36784375 |
transcript.pyannote[2972].end |
13126.97534375 |
transcript.pyannote[2973].speaker |
SPEAKER_17 |
transcript.pyannote[2973].start |
13126.97534375 |
transcript.pyannote[2973].end |
13127.85284375 |
transcript.pyannote[2974].speaker |
SPEAKER_17 |
transcript.pyannote[2974].start |
13128.39284375 |
transcript.pyannote[2974].end |
13130.83971875 |
transcript.pyannote[2975].speaker |
SPEAKER_17 |
transcript.pyannote[2975].start |
13131.14346875 |
transcript.pyannote[2975].end |
13132.74659375 |
transcript.pyannote[2976].speaker |
SPEAKER_17 |
transcript.pyannote[2976].start |
13133.52284375 |
transcript.pyannote[2976].end |
13136.07096875 |
transcript.pyannote[2977].speaker |
SPEAKER_17 |
transcript.pyannote[2977].start |
13136.50971875 |
transcript.pyannote[2977].end |
13137.60659375 |
transcript.pyannote[2978].speaker |
SPEAKER_17 |
transcript.pyannote[2978].start |
13138.01159375 |
transcript.pyannote[2978].end |
13138.31534375 |
transcript.pyannote[2979].speaker |
SPEAKER_17 |
transcript.pyannote[2979].start |
13138.46721875 |
transcript.pyannote[2979].end |
13140.01971875 |
transcript.pyannote[2980].speaker |
SPEAKER_17 |
transcript.pyannote[2980].start |
13140.61034375 |
transcript.pyannote[2980].end |
13144.28909375 |
transcript.pyannote[2981].speaker |
SPEAKER_17 |
transcript.pyannote[2981].start |
13144.50846875 |
transcript.pyannote[2981].end |
13150.80284375 |
transcript.pyannote[2982].speaker |
SPEAKER_10 |
transcript.pyannote[2982].start |
13150.80284375 |
transcript.pyannote[2982].end |
13150.81971875 |
transcript.pyannote[2983].speaker |
SPEAKER_17 |
transcript.pyannote[2983].start |
13151.24159375 |
transcript.pyannote[2983].end |
13151.25846875 |
transcript.pyannote[2984].speaker |
SPEAKER_10 |
transcript.pyannote[2984].start |
13151.25846875 |
transcript.pyannote[2984].end |
13152.81096875 |
transcript.pyannote[2985].speaker |
SPEAKER_10 |
transcript.pyannote[2985].start |
13152.96284375 |
transcript.pyannote[2985].end |
13155.74721875 |
transcript.pyannote[2986].speaker |
SPEAKER_10 |
transcript.pyannote[2986].start |
13156.27034375 |
transcript.pyannote[2986].end |
13156.87784375 |
transcript.pyannote[2987].speaker |
SPEAKER_17 |
transcript.pyannote[2987].start |
13156.87784375 |
transcript.pyannote[2987].end |
13156.89471875 |
transcript.pyannote[2988].speaker |
SPEAKER_10 |
transcript.pyannote[2988].start |
13157.46846875 |
transcript.pyannote[2988].end |
13157.48534375 |
transcript.pyannote[2989].speaker |
SPEAKER_17 |
transcript.pyannote[2989].start |
13157.48534375 |
transcript.pyannote[2989].end |
13162.53096875 |
transcript.pyannote[2990].speaker |
SPEAKER_17 |
transcript.pyannote[2990].start |
13163.07096875 |
transcript.pyannote[2990].end |
13166.56409375 |
transcript.pyannote[2991].speaker |
SPEAKER_17 |
transcript.pyannote[2991].start |
13167.01971875 |
transcript.pyannote[2991].end |
13171.40721875 |
transcript.pyannote[2992].speaker |
SPEAKER_17 |
transcript.pyannote[2992].start |
13172.48721875 |
transcript.pyannote[2992].end |
13178.57909375 |
transcript.pyannote[2993].speaker |
SPEAKER_17 |
transcript.pyannote[2993].start |
13178.96721875 |
transcript.pyannote[2993].end |
13179.99659375 |
transcript.pyannote[2994].speaker |
SPEAKER_17 |
transcript.pyannote[2994].start |
13180.18221875 |
transcript.pyannote[2994].end |
13185.43034375 |
transcript.pyannote[2995].speaker |
SPEAKER_17 |
transcript.pyannote[2995].start |
13187.53971875 |
transcript.pyannote[2995].end |
13189.56471875 |
transcript.pyannote[2996].speaker |
SPEAKER_17 |
transcript.pyannote[2996].start |
13191.21846875 |
transcript.pyannote[2996].end |
13193.05784375 |
transcript.pyannote[2997].speaker |
SPEAKER_17 |
transcript.pyannote[2997].start |
13193.86784375 |
transcript.pyannote[2997].end |
13200.55034375 |
transcript.pyannote[2998].speaker |
SPEAKER_17 |
transcript.pyannote[2998].start |
13200.75284375 |
transcript.pyannote[2998].end |
13202.05221875 |
transcript.pyannote[2999].speaker |
SPEAKER_17 |
transcript.pyannote[2999].start |
13202.49096875 |
transcript.pyannote[2999].end |
13203.90846875 |
transcript.pyannote[3000].speaker |
SPEAKER_17 |
transcript.pyannote[3000].start |
13204.11096875 |
transcript.pyannote[3000].end |
13204.12784375 |
transcript.pyannote[3001].speaker |
SPEAKER_10 |
transcript.pyannote[3001].start |
13204.12784375 |
transcript.pyannote[3001].end |
13211.99159375 |
transcript.pyannote[3002].speaker |
SPEAKER_10 |
transcript.pyannote[3002].start |
13212.49784375 |
transcript.pyannote[3002].end |
13214.74221875 |
transcript.pyannote[3003].speaker |
SPEAKER_10 |
transcript.pyannote[3003].start |
13214.97846875 |
transcript.pyannote[3003].end |
13215.60284375 |
transcript.pyannote[3004].speaker |
SPEAKER_10 |
transcript.pyannote[3004].start |
13215.97409375 |
transcript.pyannote[3004].end |
13220.42909375 |
transcript.pyannote[3005].speaker |
SPEAKER_10 |
transcript.pyannote[3005].start |
13220.71596875 |
transcript.pyannote[3005].end |
13226.25096875 |
transcript.pyannote[3006].speaker |
SPEAKER_17 |
transcript.pyannote[3006].start |
13226.25096875 |
transcript.pyannote[3006].end |
13229.84534375 |
transcript.pyannote[3007].speaker |
SPEAKER_17 |
transcript.pyannote[3007].start |
13230.03096875 |
transcript.pyannote[3007].end |
13250.16284375 |
transcript.pyannote[3008].speaker |
SPEAKER_13 |
transcript.pyannote[3008].start |
13236.94971875 |
transcript.pyannote[3008].end |
13237.45596875 |
transcript.pyannote[3009].speaker |
SPEAKER_13 |
transcript.pyannote[3009].start |
13239.36284375 |
transcript.pyannote[3009].end |
13239.39659375 |
transcript.pyannote[3010].speaker |
SPEAKER_17 |
transcript.pyannote[3010].start |
13250.82096875 |
transcript.pyannote[3010].end |
13253.16659375 |
transcript.pyannote[3011].speaker |
SPEAKER_17 |
transcript.pyannote[3011].start |
13253.47034375 |
transcript.pyannote[3011].end |
13255.29284375 |
transcript.pyannote[3012].speaker |
SPEAKER_17 |
transcript.pyannote[3012].start |
13255.86659375 |
transcript.pyannote[3012].end |
13262.51534375 |
transcript.pyannote[3013].speaker |
SPEAKER_17 |
transcript.pyannote[3013].start |
13262.78534375 |
transcript.pyannote[3013].end |
13264.20284375 |
transcript.pyannote[3014].speaker |
SPEAKER_17 |
transcript.pyannote[3014].start |
13264.32096875 |
transcript.pyannote[3014].end |
13272.21846875 |
transcript.pyannote[3015].speaker |
SPEAKER_17 |
transcript.pyannote[3015].start |
13272.85971875 |
transcript.pyannote[3015].end |
13273.72034375 |
transcript.pyannote[3016].speaker |
SPEAKER_17 |
transcript.pyannote[3016].start |
13274.41221875 |
transcript.pyannote[3016].end |
13281.51659375 |
transcript.pyannote[3017].speaker |
SPEAKER_10 |
transcript.pyannote[3017].start |
13281.51659375 |
transcript.pyannote[3017].end |
13281.53346875 |
transcript.pyannote[3018].speaker |
SPEAKER_17 |
transcript.pyannote[3018].start |
13282.74846875 |
transcript.pyannote[3018].end |
13282.76534375 |
transcript.pyannote[3019].speaker |
SPEAKER_10 |
transcript.pyannote[3019].start |
13282.76534375 |
transcript.pyannote[3019].end |
13289.56596875 |
transcript.pyannote[3020].speaker |
SPEAKER_10 |
transcript.pyannote[3020].start |
13289.93721875 |
transcript.pyannote[3020].end |
13291.52346875 |
transcript.pyannote[3021].speaker |
SPEAKER_10 |
transcript.pyannote[3021].start |
13291.94534375 |
transcript.pyannote[3021].end |
13298.03721875 |
transcript.pyannote[3022].speaker |
SPEAKER_17 |
transcript.pyannote[3022].start |
13298.03721875 |
transcript.pyannote[3022].end |
13300.43346875 |
transcript.pyannote[3023].speaker |
SPEAKER_17 |
transcript.pyannote[3023].start |
13301.04096875 |
transcript.pyannote[3023].end |
13303.47096875 |
transcript.pyannote[3024].speaker |
SPEAKER_17 |
transcript.pyannote[3024].start |
13303.94346875 |
transcript.pyannote[3024].end |
13306.06971875 |
transcript.pyannote[3025].speaker |
SPEAKER_17 |
transcript.pyannote[3025].start |
13306.23846875 |
transcript.pyannote[3025].end |
13307.33534375 |
transcript.pyannote[3026].speaker |
SPEAKER_17 |
transcript.pyannote[3026].start |
13307.65596875 |
transcript.pyannote[3026].end |
13310.72721875 |
transcript.pyannote[3027].speaker |
SPEAKER_17 |
transcript.pyannote[3027].start |
13311.79034375 |
transcript.pyannote[3027].end |
13313.25846875 |
transcript.pyannote[3028].speaker |
SPEAKER_17 |
transcript.pyannote[3028].start |
13313.86596875 |
transcript.pyannote[3028].end |
13316.66721875 |
transcript.pyannote[3029].speaker |
SPEAKER_17 |
transcript.pyannote[3029].start |
13317.17346875 |
transcript.pyannote[3029].end |
13318.08471875 |
transcript.pyannote[3030].speaker |
SPEAKER_17 |
transcript.pyannote[3030].start |
13318.21971875 |
transcript.pyannote[3030].end |
13322.25284375 |
transcript.pyannote[3031].speaker |
SPEAKER_13 |
transcript.pyannote[3031].start |
13322.15159375 |
transcript.pyannote[3031].end |
13322.16846875 |
transcript.pyannote[3032].speaker |
SPEAKER_13 |
transcript.pyannote[3032].start |
13322.25284375 |
transcript.pyannote[3032].end |
13322.38784375 |
transcript.pyannote[3033].speaker |
SPEAKER_17 |
transcript.pyannote[3033].start |
13322.38784375 |
transcript.pyannote[3033].end |
13324.73346875 |
transcript.pyannote[3034].speaker |
SPEAKER_17 |
transcript.pyannote[3034].start |
13324.85159375 |
transcript.pyannote[3034].end |
13332.17534375 |
transcript.pyannote[3035].speaker |
SPEAKER_17 |
transcript.pyannote[3035].start |
13332.63096875 |
transcript.pyannote[3035].end |
13333.20471875 |
transcript.pyannote[3036].speaker |
SPEAKER_17 |
transcript.pyannote[3036].start |
13333.49159375 |
transcript.pyannote[3036].end |
13335.22971875 |
transcript.pyannote[3037].speaker |
SPEAKER_10 |
transcript.pyannote[3037].start |
13335.22971875 |
transcript.pyannote[3037].end |
13335.24659375 |
transcript.pyannote[3038].speaker |
SPEAKER_17 |
transcript.pyannote[3038].start |
13335.65159375 |
transcript.pyannote[3038].end |
13335.66846875 |
transcript.pyannote[3039].speaker |
SPEAKER_10 |
transcript.pyannote[3039].start |
13335.66846875 |
transcript.pyannote[3039].end |
13342.46909375 |
transcript.pyannote[3040].speaker |
SPEAKER_17 |
transcript.pyannote[3040].start |
13342.19909375 |
transcript.pyannote[3040].end |
13345.87784375 |
transcript.pyannote[3041].speaker |
SPEAKER_10 |
transcript.pyannote[3041].start |
13344.17346875 |
transcript.pyannote[3041].end |
13345.75971875 |
transcript.pyannote[3042].speaker |
SPEAKER_10 |
transcript.pyannote[3042].start |
13345.87784375 |
transcript.pyannote[3042].end |
13346.01284375 |
transcript.pyannote[3043].speaker |
SPEAKER_17 |
transcript.pyannote[3043].start |
13346.01284375 |
transcript.pyannote[3043].end |
13360.27221875 |
transcript.pyannote[3044].speaker |
SPEAKER_10 |
transcript.pyannote[3044].start |
13346.92409375 |
transcript.pyannote[3044].end |
13348.34159375 |
transcript.pyannote[3045].speaker |
SPEAKER_13 |
transcript.pyannote[3045].start |
13348.34159375 |
transcript.pyannote[3045].end |
13348.35846875 |
transcript.pyannote[3046].speaker |
SPEAKER_10 |
transcript.pyannote[3046].start |
13358.06159375 |
transcript.pyannote[3046].end |
13360.23846875 |
transcript.pyannote[3047].speaker |
SPEAKER_10 |
transcript.pyannote[3047].start |
13360.27221875 |
transcript.pyannote[3047].end |
13360.93034375 |
transcript.pyannote[3048].speaker |
SPEAKER_17 |
transcript.pyannote[3048].start |
13360.93034375 |
transcript.pyannote[3048].end |
13363.47846875 |
transcript.pyannote[3049].speaker |
SPEAKER_17 |
transcript.pyannote[3049].start |
13364.20409375 |
transcript.pyannote[3049].end |
13368.42284375 |
transcript.pyannote[3050].speaker |
SPEAKER_17 |
transcript.pyannote[3050].start |
13368.86159375 |
transcript.pyannote[3050].end |
13371.12284375 |
transcript.pyannote[3051].speaker |
SPEAKER_17 |
transcript.pyannote[3051].start |
13371.62909375 |
transcript.pyannote[3051].end |
13375.20659375 |
transcript.pyannote[3052].speaker |
SPEAKER_17 |
transcript.pyannote[3052].start |
13375.64534375 |
transcript.pyannote[3052].end |
13410.00284375 |
transcript.pyannote[3053].speaker |
SPEAKER_17 |
transcript.pyannote[3053].start |
13410.34034375 |
transcript.pyannote[3053].end |
13415.82471875 |
transcript.pyannote[3054].speaker |
SPEAKER_17 |
transcript.pyannote[3054].start |
13416.17909375 |
transcript.pyannote[3054].end |
13420.75221875 |
transcript.pyannote[3055].speaker |
SPEAKER_10 |
transcript.pyannote[3055].start |
13420.58346875 |
transcript.pyannote[3055].end |
13426.47284375 |
transcript.pyannote[3056].speaker |
SPEAKER_17 |
transcript.pyannote[3056].start |
13426.47284375 |
transcript.pyannote[3056].end |
13426.77659375 |
transcript.pyannote[3057].speaker |
SPEAKER_10 |
transcript.pyannote[3057].start |
13426.77659375 |
transcript.pyannote[3057].end |
13427.51909375 |
transcript.pyannote[3058].speaker |
SPEAKER_17 |
transcript.pyannote[3058].start |
13427.51909375 |
transcript.pyannote[3058].end |
13428.09284375 |
transcript.pyannote[3059].speaker |
SPEAKER_10 |
transcript.pyannote[3059].start |
13427.63721875 |
transcript.pyannote[3059].end |
13427.73846875 |
transcript.pyannote[3060].speaker |
SPEAKER_10 |
transcript.pyannote[3060].start |
13428.09284375 |
transcript.pyannote[3060].end |
13428.12659375 |
transcript.pyannote[3061].speaker |
SPEAKER_17 |
transcript.pyannote[3061].start |
13428.12659375 |
transcript.pyannote[3061].end |
13436.73284375 |
transcript.pyannote[3062].speaker |
SPEAKER_17 |
transcript.pyannote[3062].start |
13436.95221875 |
transcript.pyannote[3062].end |
13437.82971875 |
transcript.pyannote[3063].speaker |
SPEAKER_07 |
transcript.pyannote[3063].start |
13438.31909375 |
transcript.pyannote[3063].end |
13439.06159375 |
transcript.pyannote[3064].speaker |
SPEAKER_07 |
transcript.pyannote[3064].start |
13444.36034375 |
transcript.pyannote[3064].end |
13445.57534375 |
transcript.pyannote[3065].speaker |
SPEAKER_13 |
transcript.pyannote[3065].start |
13445.67659375 |
transcript.pyannote[3065].end |
13447.81971875 |
transcript.pyannote[3066].speaker |
SPEAKER_07 |
transcript.pyannote[3066].start |
13448.20784375 |
transcript.pyannote[3066].end |
13451.32971875 |
transcript.pyannote[3067].speaker |
SPEAKER_17 |
transcript.pyannote[3067].start |
13458.51846875 |
transcript.pyannote[3067].end |
13459.64909375 |
transcript.pyannote[3068].speaker |
SPEAKER_07 |
transcript.pyannote[3068].start |
13460.15534375 |
transcript.pyannote[3068].end |
13461.33659375 |
transcript.pyannote[3069].speaker |
SPEAKER_07 |
transcript.pyannote[3069].start |
13462.16346875 |
transcript.pyannote[3069].end |
13462.50096875 |
transcript.pyannote[3070].speaker |
SPEAKER_17 |
transcript.pyannote[3070].start |
13467.37784375 |
transcript.pyannote[3070].end |
13478.93721875 |
transcript.pyannote[3071].speaker |
SPEAKER_17 |
transcript.pyannote[3071].start |
13479.57846875 |
transcript.pyannote[3071].end |
13487.15534375 |
transcript.pyannote[3072].speaker |
SPEAKER_17 |
transcript.pyannote[3072].start |
13487.32409375 |
transcript.pyannote[3072].end |
13488.82596875 |
transcript.pyannote[3073].speaker |
SPEAKER_17 |
transcript.pyannote[3073].start |
13489.45034375 |
transcript.pyannote[3073].end |
13489.99034375 |
transcript.pyannote[3074].speaker |
SPEAKER_17 |
transcript.pyannote[3074].start |
13490.10846875 |
transcript.pyannote[3074].end |
13493.82096875 |
transcript.pyannote[3075].speaker |
SPEAKER_17 |
transcript.pyannote[3075].start |
13494.58034375 |
transcript.pyannote[3075].end |
13499.38971875 |
transcript.pyannote[3076].speaker |
SPEAKER_17 |
transcript.pyannote[3076].start |
13500.04784375 |
transcript.pyannote[3076].end |
13501.24596875 |
transcript.pyannote[3077].speaker |
SPEAKER_17 |
transcript.pyannote[3077].start |
13501.27971875 |
transcript.pyannote[3077].end |
13501.31346875 |
transcript.pyannote[3078].speaker |
SPEAKER_10 |
transcript.pyannote[3078].start |
13501.31346875 |
transcript.pyannote[3078].end |
13507.40534375 |
transcript.pyannote[3079].speaker |
SPEAKER_10 |
transcript.pyannote[3079].start |
13508.16471875 |
transcript.pyannote[3079].end |
13516.11284375 |
transcript.pyannote[3080].speaker |
SPEAKER_17 |
transcript.pyannote[3080].start |
13512.26534375 |
transcript.pyannote[3080].end |
13513.15971875 |
transcript.pyannote[3081].speaker |
SPEAKER_17 |
transcript.pyannote[3081].start |
13514.44221875 |
transcript.pyannote[3081].end |
13537.56096875 |
transcript.pyannote[3082].speaker |
SPEAKER_10 |
transcript.pyannote[3082].start |
13518.49221875 |
transcript.pyannote[3082].end |
13518.96471875 |
transcript.pyannote[3083].speaker |
SPEAKER_10 |
transcript.pyannote[3083].start |
13525.10721875 |
transcript.pyannote[3083].end |
13525.81596875 |
transcript.pyannote[3084].speaker |
SPEAKER_10 |
transcript.pyannote[3084].start |
13526.49096875 |
transcript.pyannote[3084].end |
13527.21659375 |
transcript.pyannote[3085].speaker |
SPEAKER_10 |
transcript.pyannote[3085].start |
13530.22034375 |
transcript.pyannote[3085].end |
13533.05534375 |
transcript.pyannote[3086].speaker |
SPEAKER_17 |
transcript.pyannote[3086].start |
13537.89846875 |
transcript.pyannote[3086].end |
13558.87409375 |
transcript.pyannote[3087].speaker |
SPEAKER_17 |
transcript.pyannote[3087].start |
13559.09346875 |
transcript.pyannote[3087].end |
13562.62034375 |
transcript.pyannote[3088].speaker |
SPEAKER_17 |
transcript.pyannote[3088].start |
13562.80596875 |
transcript.pyannote[3088].end |
13566.70409375 |
transcript.pyannote[3089].speaker |
SPEAKER_17 |
transcript.pyannote[3089].start |
13567.26096875 |
transcript.pyannote[3089].end |
13570.50096875 |
transcript.pyannote[3090].speaker |
SPEAKER_17 |
transcript.pyannote[3090].start |
13570.75409375 |
transcript.pyannote[3090].end |
13581.41909375 |
transcript.pyannote[3091].speaker |
SPEAKER_17 |
transcript.pyannote[3091].start |
13581.72284375 |
transcript.pyannote[3091].end |
13590.14346875 |
transcript.pyannote[3092].speaker |
SPEAKER_17 |
transcript.pyannote[3092].start |
13590.43034375 |
transcript.pyannote[3092].end |
13592.67471875 |
transcript.pyannote[3093].speaker |
SPEAKER_17 |
transcript.pyannote[3093].start |
13593.01221875 |
transcript.pyannote[3093].end |
13597.48409375 |
transcript.pyannote[3094].speaker |
SPEAKER_17 |
transcript.pyannote[3094].start |
13598.34471875 |
transcript.pyannote[3094].end |
13598.96909375 |
transcript.pyannote[3095].speaker |
SPEAKER_10 |
transcript.pyannote[3095].start |
13598.96909375 |
transcript.pyannote[3095].end |
13600.74096875 |
transcript.pyannote[3096].speaker |
SPEAKER_10 |
transcript.pyannote[3096].start |
13601.01096875 |
transcript.pyannote[3096].end |
13611.25409375 |
transcript.pyannote[3097].speaker |
SPEAKER_17 |
transcript.pyannote[3097].start |
13609.93784375 |
transcript.pyannote[3097].end |
13616.80596875 |
transcript.pyannote[3098].speaker |
SPEAKER_17 |
transcript.pyannote[3098].start |
13616.87346875 |
transcript.pyannote[3098].end |
13616.99159375 |
transcript.pyannote[3099].speaker |
SPEAKER_10 |
transcript.pyannote[3099].start |
13616.99159375 |
transcript.pyannote[3099].end |
13656.71534375 |
transcript.pyannote[3100].speaker |
SPEAKER_17 |
transcript.pyannote[3100].start |
13617.44721875 |
transcript.pyannote[3100].end |
13618.10534375 |
transcript.pyannote[3101].speaker |
SPEAKER_17 |
transcript.pyannote[3101].start |
13656.71534375 |
transcript.pyannote[3101].end |
13686.44909375 |
transcript.pyannote[3102].speaker |
SPEAKER_17 |
transcript.pyannote[3102].start |
13686.82034375 |
transcript.pyannote[3102].end |
13693.40159375 |
transcript.pyannote[3103].speaker |
SPEAKER_17 |
transcript.pyannote[3103].start |
13693.77284375 |
transcript.pyannote[3103].end |
13703.96534375 |
transcript.pyannote[3104].speaker |
SPEAKER_10 |
transcript.pyannote[3104].start |
13702.61534375 |
transcript.pyannote[3104].end |
13703.13846875 |
transcript.pyannote[3105].speaker |
SPEAKER_10 |
transcript.pyannote[3105].start |
13703.96534375 |
transcript.pyannote[3105].end |
13704.16784375 |
transcript.pyannote[3106].speaker |
SPEAKER_17 |
transcript.pyannote[3106].start |
13704.16784375 |
transcript.pyannote[3106].end |
13704.52221875 |
transcript.pyannote[3107].speaker |
SPEAKER_10 |
transcript.pyannote[3107].start |
13704.18471875 |
transcript.pyannote[3107].end |
13704.50534375 |
transcript.pyannote[3108].speaker |
SPEAKER_10 |
transcript.pyannote[3108].start |
13704.52221875 |
transcript.pyannote[3108].end |
13705.72034375 |
transcript.pyannote[3109].speaker |
SPEAKER_17 |
transcript.pyannote[3109].start |
13705.72034375 |
transcript.pyannote[3109].end |
13705.92284375 |
transcript.pyannote[3110].speaker |
SPEAKER_10 |
transcript.pyannote[3110].start |
13705.92284375 |
transcript.pyannote[3110].end |
13711.72784375 |
transcript.pyannote[3111].speaker |
SPEAKER_17 |
transcript.pyannote[3111].start |
13710.20909375 |
transcript.pyannote[3111].end |
13713.97221875 |
transcript.pyannote[3112].speaker |
SPEAKER_17 |
transcript.pyannote[3112].start |
13714.34346875 |
transcript.pyannote[3112].end |
13726.69596875 |
transcript.pyannote[3113].speaker |
SPEAKER_10 |
transcript.pyannote[3113].start |
13726.22346875 |
transcript.pyannote[3113].end |
13726.64534375 |
transcript.pyannote[3114].speaker |
SPEAKER_10 |
transcript.pyannote[3114].start |
13726.69596875 |
transcript.pyannote[3114].end |
13743.28409375 |
transcript.pyannote[3115].speaker |
SPEAKER_17 |
transcript.pyannote[3115].start |
13728.67034375 |
transcript.pyannote[3115].end |
13730.71221875 |
transcript.pyannote[3116].speaker |
SPEAKER_17 |
transcript.pyannote[3116].start |
13741.73159375 |
transcript.pyannote[3116].end |
13750.23659375 |
transcript.pyannote[3117].speaker |
SPEAKER_17 |
transcript.pyannote[3117].start |
13750.62471875 |
transcript.pyannote[3117].end |
13759.92284375 |
transcript.pyannote[3118].speaker |
SPEAKER_17 |
transcript.pyannote[3118].start |
13760.90159375 |
transcript.pyannote[3118].end |
13766.65596875 |
transcript.pyannote[3119].speaker |
SPEAKER_10 |
transcript.pyannote[3119].start |
13765.20471875 |
transcript.pyannote[3119].end |
13769.08596875 |
transcript.pyannote[3120].speaker |
SPEAKER_17 |
transcript.pyannote[3120].start |
13767.22971875 |
transcript.pyannote[3120].end |
13771.07721875 |
transcript.pyannote[3121].speaker |
SPEAKER_10 |
transcript.pyannote[3121].start |
13769.45721875 |
transcript.pyannote[3121].end |
13770.01409375 |
transcript.pyannote[3122].speaker |
SPEAKER_10 |
transcript.pyannote[3122].start |
13770.28409375 |
transcript.pyannote[3122].end |
13771.44846875 |
transcript.pyannote[3123].speaker |
SPEAKER_17 |
transcript.pyannote[3123].start |
13771.44846875 |
transcript.pyannote[3123].end |
13784.30721875 |
transcript.pyannote[3124].speaker |
SPEAKER_10 |
transcript.pyannote[3124].start |
13771.78596875 |
transcript.pyannote[3124].end |
13772.00534375 |
transcript.pyannote[3125].speaker |
SPEAKER_10 |
transcript.pyannote[3125].start |
13777.91159375 |
transcript.pyannote[3125].end |
13779.73409375 |
transcript.pyannote[3126].speaker |
SPEAKER_10 |
transcript.pyannote[3126].start |
13781.26971875 |
transcript.pyannote[3126].end |
13782.36659375 |
transcript.pyannote[3127].speaker |
SPEAKER_10 |
transcript.pyannote[3127].start |
13784.30721875 |
transcript.pyannote[3127].end |
13794.83721875 |
transcript.pyannote[3128].speaker |
SPEAKER_17 |
transcript.pyannote[3128].start |
13784.34096875 |
transcript.pyannote[3128].end |
13784.44221875 |
transcript.pyannote[3129].speaker |
SPEAKER_17 |
transcript.pyannote[3129].start |
13791.02346875 |
transcript.pyannote[3129].end |
13814.90159375 |
transcript.pyannote[3130].speaker |
SPEAKER_10 |
transcript.pyannote[3130].start |
13797.46971875 |
transcript.pyannote[3130].end |
13800.79409375 |
transcript.pyannote[3131].speaker |
SPEAKER_10 |
transcript.pyannote[3131].start |
13811.61096875 |
transcript.pyannote[3131].end |
13814.56409375 |
transcript.pyannote[3132].speaker |
SPEAKER_10 |
transcript.pyannote[3132].start |
13814.90159375 |
transcript.pyannote[3132].end |
13821.33096875 |
transcript.pyannote[3133].speaker |
SPEAKER_17 |
transcript.pyannote[3133].start |
13815.57659375 |
transcript.pyannote[3133].end |
13816.01534375 |
transcript.pyannote[3134].speaker |
SPEAKER_17 |
transcript.pyannote[3134].start |
13817.88846875 |
transcript.pyannote[3134].end |
13817.98971875 |
transcript.pyannote[3135].speaker |
SPEAKER_17 |
transcript.pyannote[3135].start |
13820.23409375 |
transcript.pyannote[3135].end |
13837.07534375 |
transcript.pyannote[3136].speaker |
SPEAKER_10 |
transcript.pyannote[3136].start |
13823.76096875 |
transcript.pyannote[3136].end |
13824.08159375 |
transcript.pyannote[3137].speaker |
SPEAKER_13 |
transcript.pyannote[3137].start |
13832.73846875 |
transcript.pyannote[3137].end |
13832.75534375 |
transcript.pyannote[3138].speaker |
SPEAKER_10 |
transcript.pyannote[3138].start |
13832.75534375 |
transcript.pyannote[3138].end |
13833.00846875 |
transcript.pyannote[3139].speaker |
SPEAKER_17 |
transcript.pyannote[3139].start |
13838.13846875 |
transcript.pyannote[3139].end |
13838.22284375 |
transcript.pyannote[3140].speaker |
SPEAKER_10 |
transcript.pyannote[3140].start |
13838.22284375 |
transcript.pyannote[3140].end |
13843.06596875 |
transcript.pyannote[3141].speaker |
SPEAKER_17 |
transcript.pyannote[3141].start |
13838.23971875 |
transcript.pyannote[3141].end |
13839.04971875 |
transcript.pyannote[3142].speaker |
SPEAKER_17 |
transcript.pyannote[3142].start |
13841.05784375 |
transcript.pyannote[3142].end |
13842.45846875 |
transcript.pyannote[3143].speaker |
SPEAKER_17 |
transcript.pyannote[3143].start |
13843.06596875 |
transcript.pyannote[3143].end |
13843.36971875 |
transcript.pyannote[3144].speaker |
SPEAKER_10 |
transcript.pyannote[3144].start |
13843.36971875 |
transcript.pyannote[3144].end |
13849.37721875 |
transcript.pyannote[3145].speaker |
SPEAKER_17 |
transcript.pyannote[3145].start |
13843.43721875 |
transcript.pyannote[3145].end |
13844.29784375 |
transcript.pyannote[3146].speaker |
SPEAKER_17 |
transcript.pyannote[3146].start |
13846.23846875 |
transcript.pyannote[3146].end |
13855.55346875 |
transcript.pyannote[3147].speaker |
SPEAKER_10 |
transcript.pyannote[3147].start |
13855.55346875 |
transcript.pyannote[3147].end |
13855.77284375 |
transcript.pyannote[3148].speaker |
SPEAKER_17 |
transcript.pyannote[3148].start |
13855.77284375 |
transcript.pyannote[3148].end |
13855.97534375 |
transcript.pyannote[3149].speaker |
SPEAKER_10 |
transcript.pyannote[3149].start |
13855.97534375 |
transcript.pyannote[3149].end |
13857.91596875 |
transcript.pyannote[3150].speaker |
SPEAKER_10 |
transcript.pyannote[3150].start |
13858.38846875 |
transcript.pyannote[3150].end |
13864.88534375 |
transcript.pyannote[3151].speaker |
SPEAKER_17 |
transcript.pyannote[3151].start |
13860.86909375 |
transcript.pyannote[3151].end |
13862.96159375 |
transcript.pyannote[3152].speaker |
SPEAKER_17 |
transcript.pyannote[3152].start |
13863.85596875 |
transcript.pyannote[3152].end |
13868.46284375 |
transcript.pyannote[3153].speaker |
SPEAKER_10 |
transcript.pyannote[3153].start |
13867.43346875 |
transcript.pyannote[3153].end |
13872.71534375 |
transcript.pyannote[3154].speaker |
SPEAKER_17 |
transcript.pyannote[3154].start |
13870.06596875 |
transcript.pyannote[3154].end |
13870.65659375 |
transcript.pyannote[3155].speaker |
SPEAKER_17 |
transcript.pyannote[3155].start |
13872.71534375 |
transcript.pyannote[3155].end |
13872.73221875 |
transcript.pyannote[3156].speaker |
SPEAKER_10 |
transcript.pyannote[3156].start |
13872.73221875 |
transcript.pyannote[3156].end |
13873.30596875 |
transcript.pyannote[3157].speaker |
SPEAKER_17 |
transcript.pyannote[3157].start |
13872.74909375 |
transcript.pyannote[3157].end |
13883.66721875 |
transcript.pyannote[3158].speaker |
SPEAKER_10 |
transcript.pyannote[3158].start |
13881.47346875 |
transcript.pyannote[3158].end |
13881.50721875 |
transcript.pyannote[3159].speaker |
SPEAKER_10 |
transcript.pyannote[3159].start |
13881.62534375 |
transcript.pyannote[3159].end |
13881.97971875 |
transcript.pyannote[3160].speaker |
SPEAKER_10 |
transcript.pyannote[3160].start |
13882.19909375 |
transcript.pyannote[3160].end |
13888.76346875 |
transcript.pyannote[3161].speaker |
SPEAKER_17 |
transcript.pyannote[3161].start |
13887.90284375 |
transcript.pyannote[3161].end |
13888.72971875 |
transcript.pyannote[3162].speaker |
SPEAKER_17 |
transcript.pyannote[3162].start |
13888.76346875 |
transcript.pyannote[3162].end |
13888.88159375 |
transcript.pyannote[3163].speaker |
SPEAKER_10 |
transcript.pyannote[3163].start |
13888.88159375 |
transcript.pyannote[3163].end |
13890.82221875 |
transcript.pyannote[3164].speaker |
SPEAKER_17 |
transcript.pyannote[3164].start |
13888.96596875 |
transcript.pyannote[3164].end |
13888.99971875 |
transcript.pyannote[3165].speaker |
SPEAKER_17 |
transcript.pyannote[3165].start |
13889.45534375 |
transcript.pyannote[3165].end |
13912.96221875 |
transcript.pyannote[3166].speaker |
SPEAKER_10 |
transcript.pyannote[3166].start |
13911.59534375 |
transcript.pyannote[3166].end |
13922.56409375 |
transcript.pyannote[3167].speaker |
SPEAKER_17 |
transcript.pyannote[3167].start |
13917.75471875 |
transcript.pyannote[3167].end |
13920.60659375 |
transcript.pyannote[3168].speaker |
SPEAKER_17 |
transcript.pyannote[3168].start |
13921.09596875 |
transcript.pyannote[3168].end |
13956.02721875 |
transcript.pyannote[3169].speaker |
SPEAKER_00 |
transcript.pyannote[3169].start |
13931.59221875 |
transcript.pyannote[3169].end |
13931.62596875 |
transcript.pyannote[3170].speaker |
SPEAKER_10 |
transcript.pyannote[3170].start |
13931.62596875 |
transcript.pyannote[3170].end |
13932.63846875 |
transcript.pyannote[3171].speaker |
SPEAKER_12 |
transcript.pyannote[3171].start |
13932.63846875 |
transcript.pyannote[3171].end |
13932.92534375 |
transcript.pyannote[3172].speaker |
SPEAKER_10 |
transcript.pyannote[3172].start |
13932.92534375 |
transcript.pyannote[3172].end |
13932.97596875 |
transcript.pyannote[3173].speaker |
SPEAKER_00 |
transcript.pyannote[3173].start |
13932.97596875 |
transcript.pyannote[3173].end |
13934.03909375 |
transcript.pyannote[3174].speaker |
SPEAKER_13 |
transcript.pyannote[3174].start |
13934.03909375 |
transcript.pyannote[3174].end |
13934.14034375 |
transcript.pyannote[3175].speaker |
SPEAKER_10 |
transcript.pyannote[3175].start |
13934.14034375 |
transcript.pyannote[3175].end |
13937.46471875 |
transcript.pyannote[3176].speaker |
SPEAKER_10 |
transcript.pyannote[3176].start |
13946.81346875 |
transcript.pyannote[3176].end |
13951.52159375 |
transcript.pyannote[3177].speaker |
SPEAKER_17 |
transcript.pyannote[3177].start |
13956.12846875 |
transcript.pyannote[3177].end |
13958.81159375 |
transcript.pyannote[3178].speaker |
SPEAKER_17 |
transcript.pyannote[3178].start |
13959.52034375 |
transcript.pyannote[3178].end |
13960.87034375 |
transcript.pyannote[3179].speaker |
SPEAKER_07 |
transcript.pyannote[3179].start |
13961.22471875 |
transcript.pyannote[3179].end |
13964.65034375 |
transcript.pyannote[3180].speaker |
SPEAKER_07 |
transcript.pyannote[3180].start |
13965.05534375 |
transcript.pyannote[3180].end |
13965.81471875 |
transcript.pyannote[3181].speaker |
SPEAKER_07 |
transcript.pyannote[3181].start |
13967.43471875 |
transcript.pyannote[3181].end |
13967.75534375 |
transcript.pyannote[3182].speaker |
SPEAKER_07 |
transcript.pyannote[3182].start |
13969.13909375 |
transcript.pyannote[3182].end |
13969.47659375 |
transcript.pyannote[3183].speaker |
SPEAKER_07 |
transcript.pyannote[3183].start |
13970.45534375 |
transcript.pyannote[3183].end |
13970.84346875 |
transcript.pyannote[3184].speaker |
SPEAKER_07 |
transcript.pyannote[3184].start |
13972.05846875 |
transcript.pyannote[3184].end |
13982.95971875 |
transcript.pyannote[3185].speaker |
SPEAKER_14 |
transcript.pyannote[3185].start |
13992.89909375 |
transcript.pyannote[3185].end |
13995.29534375 |
transcript.pyannote[3186].speaker |
SPEAKER_14 |
transcript.pyannote[3186].start |
13997.28659375 |
transcript.pyannote[3186].end |
13998.51846875 |
transcript.pyannote[3187].speaker |
SPEAKER_14 |
transcript.pyannote[3187].start |
13999.48034375 |
transcript.pyannote[3187].end |
14000.35784375 |
transcript.pyannote[3188].speaker |
SPEAKER_14 |
transcript.pyannote[3188].start |
14000.94846875 |
transcript.pyannote[3188].end |
14002.55159375 |
transcript.pyannote[3189].speaker |
SPEAKER_14 |
transcript.pyannote[3189].start |
14002.87221875 |
transcript.pyannote[3189].end |
14003.91846875 |
transcript.pyannote[3190].speaker |
SPEAKER_14 |
transcript.pyannote[3190].start |
14004.67784375 |
transcript.pyannote[3190].end |
14009.57159375 |
transcript.pyannote[3191].speaker |
SPEAKER_07 |
transcript.pyannote[3191].start |
14007.93471875 |
transcript.pyannote[3191].end |
14008.94721875 |
transcript.pyannote[3192].speaker |
SPEAKER_14 |
transcript.pyannote[3192].start |
14010.21284375 |
transcript.pyannote[3192].end |
14010.70221875 |
transcript.pyannote[3193].speaker |
SPEAKER_14 |
transcript.pyannote[3193].start |
14011.22534375 |
transcript.pyannote[3193].end |
14013.50346875 |
transcript.pyannote[3194].speaker |
SPEAKER_14 |
transcript.pyannote[3194].start |
14013.94221875 |
transcript.pyannote[3194].end |
14016.40596875 |
transcript.pyannote[3195].speaker |
SPEAKER_14 |
transcript.pyannote[3195].start |
14017.53659375 |
transcript.pyannote[3195].end |
14019.54471875 |
transcript.pyannote[3196].speaker |
SPEAKER_14 |
transcript.pyannote[3196].start |
14020.18596875 |
transcript.pyannote[3196].end |
14021.16471875 |
transcript.pyannote[3197].speaker |
SPEAKER_14 |
transcript.pyannote[3197].start |
14021.33346875 |
transcript.pyannote[3197].end |
14021.78909375 |
transcript.pyannote[3198].speaker |
SPEAKER_14 |
transcript.pyannote[3198].start |
14022.54846875 |
transcript.pyannote[3198].end |
14023.35846875 |
transcript.pyannote[3199].speaker |
SPEAKER_14 |
transcript.pyannote[3199].start |
14024.96159375 |
transcript.pyannote[3199].end |
14026.41284375 |
transcript.pyannote[3200].speaker |
SPEAKER_14 |
transcript.pyannote[3200].start |
14026.59846875 |
transcript.pyannote[3200].end |
14026.91909375 |
transcript.pyannote[3201].speaker |
SPEAKER_07 |
transcript.pyannote[3201].start |
14028.35346875 |
transcript.pyannote[3201].end |
14029.33221875 |
transcript.pyannote[3202].speaker |
SPEAKER_14 |
transcript.pyannote[3202].start |
14029.46721875 |
transcript.pyannote[3202].end |
14029.73721875 |
transcript.pyannote[3203].speaker |
SPEAKER_14 |
transcript.pyannote[3203].start |
14031.76221875 |
transcript.pyannote[3203].end |
14033.92221875 |
transcript.pyannote[3204].speaker |
SPEAKER_14 |
transcript.pyannote[3204].start |
14034.59721875 |
transcript.pyannote[3204].end |
14036.08221875 |
transcript.pyannote[3205].speaker |
SPEAKER_07 |
transcript.pyannote[3205].start |
14036.53784375 |
transcript.pyannote[3205].end |
14038.02284375 |
transcript.pyannote[3206].speaker |
SPEAKER_14 |
transcript.pyannote[3206].start |
14041.71846875 |
transcript.pyannote[3206].end |
14041.92096875 |
transcript.pyannote[3207].speaker |
SPEAKER_14 |
transcript.pyannote[3207].start |
14042.12346875 |
transcript.pyannote[3207].end |
14047.48971875 |
transcript.pyannote[3208].speaker |
SPEAKER_14 |
transcript.pyannote[3208].start |
14047.52346875 |
transcript.pyannote[3208].end |
14048.02971875 |
transcript.pyannote[3209].speaker |
SPEAKER_14 |
transcript.pyannote[3209].start |
14048.62034375 |
transcript.pyannote[3209].end |
14053.41284375 |
transcript.pyannote[3210].speaker |
SPEAKER_04 |
transcript.pyannote[3210].start |
14055.30284375 |
transcript.pyannote[3210].end |
14058.62721875 |
transcript.pyannote[3211].speaker |
SPEAKER_14 |
transcript.pyannote[3211].start |
14055.58971875 |
transcript.pyannote[3211].end |
14058.74534375 |
transcript.pyannote[3212].speaker |
SPEAKER_14 |
transcript.pyannote[3212].start |
14059.25159375 |
transcript.pyannote[3212].end |
14072.51534375 |
transcript.pyannote[3213].speaker |
SPEAKER_13 |
transcript.pyannote[3213].start |
14066.08596875 |
transcript.pyannote[3213].end |
14066.44034375 |
transcript.pyannote[3214].speaker |
SPEAKER_14 |
transcript.pyannote[3214].start |
14073.49409375 |
transcript.pyannote[3214].end |
14079.72096875 |
transcript.pyannote[3215].speaker |
SPEAKER_14 |
transcript.pyannote[3215].start |
14080.96971875 |
transcript.pyannote[3215].end |
14082.62346875 |
transcript.pyannote[3216].speaker |
SPEAKER_00 |
transcript.pyannote[3216].start |
14081.84721875 |
transcript.pyannote[3216].end |
14082.47159375 |
transcript.pyannote[3217].speaker |
SPEAKER_14 |
transcript.pyannote[3217].start |
14082.99471875 |
transcript.pyannote[3217].end |
14085.67784375 |
transcript.pyannote[3218].speaker |
SPEAKER_14 |
transcript.pyannote[3218].start |
14085.88034375 |
transcript.pyannote[3218].end |
14086.72409375 |
transcript.pyannote[3219].speaker |
SPEAKER_14 |
transcript.pyannote[3219].start |
14087.07846875 |
transcript.pyannote[3219].end |
14089.32284375 |
transcript.pyannote[3220].speaker |
SPEAKER_14 |
transcript.pyannote[3220].start |
14089.76159375 |
transcript.pyannote[3220].end |
14094.09846875 |
transcript.pyannote[3221].speaker |
SPEAKER_14 |
transcript.pyannote[3221].start |
14095.21221875 |
transcript.pyannote[3221].end |
14099.70096875 |
transcript.pyannote[3222].speaker |
SPEAKER_14 |
transcript.pyannote[3222].start |
14099.97096875 |
transcript.pyannote[3222].end |
14103.16034375 |
transcript.pyannote[3223].speaker |
SPEAKER_14 |
transcript.pyannote[3223].start |
14104.20659375 |
transcript.pyannote[3223].end |
14107.12596875 |
transcript.pyannote[3224].speaker |
SPEAKER_14 |
transcript.pyannote[3224].start |
14108.45909375 |
transcript.pyannote[3224].end |
14114.78721875 |
transcript.pyannote[3225].speaker |
SPEAKER_14 |
transcript.pyannote[3225].start |
14115.66471875 |
transcript.pyannote[3225].end |
14120.52471875 |
transcript.pyannote[3226].speaker |
SPEAKER_14 |
transcript.pyannote[3226].start |
14121.25034375 |
transcript.pyannote[3226].end |
14123.00534375 |
transcript.pyannote[3227].speaker |
SPEAKER_14 |
transcript.pyannote[3227].start |
14123.98409375 |
transcript.pyannote[3227].end |
14126.98784375 |
transcript.pyannote[3228].speaker |
SPEAKER_14 |
transcript.pyannote[3228].start |
14127.13971875 |
transcript.pyannote[3228].end |
14128.59096875 |
transcript.pyannote[3229].speaker |
SPEAKER_14 |
transcript.pyannote[3229].start |
14129.14784375 |
transcript.pyannote[3229].end |
14129.97471875 |
transcript.pyannote[3230].speaker |
SPEAKER_14 |
transcript.pyannote[3230].start |
14130.41346875 |
transcript.pyannote[3230].end |
14133.34971875 |
transcript.pyannote[3231].speaker |
SPEAKER_14 |
transcript.pyannote[3231].start |
14133.83909375 |
transcript.pyannote[3231].end |
14139.28971875 |
transcript.pyannote[3232].speaker |
SPEAKER_14 |
transcript.pyannote[3232].start |
14139.91409375 |
transcript.pyannote[3232].end |
14145.46596875 |
transcript.pyannote[3233].speaker |
SPEAKER_10 |
transcript.pyannote[3233].start |
14144.92596875 |
transcript.pyannote[3233].end |
14155.64159375 |
transcript.pyannote[3234].speaker |
SPEAKER_10 |
transcript.pyannote[3234].start |
14155.84409375 |
transcript.pyannote[3234].end |
14159.64096875 |
transcript.pyannote[3235].speaker |
SPEAKER_10 |
transcript.pyannote[3235].start |
14159.97846875 |
transcript.pyannote[3235].end |
14160.72096875 |
transcript.pyannote[3236].speaker |
SPEAKER_10 |
transcript.pyannote[3236].start |
14161.09221875 |
transcript.pyannote[3236].end |
14169.34409375 |
transcript.pyannote[3237].speaker |
SPEAKER_10 |
transcript.pyannote[3237].start |
14169.95159375 |
transcript.pyannote[3237].end |
14176.92096875 |
transcript.pyannote[3238].speaker |
SPEAKER_10 |
transcript.pyannote[3238].start |
14177.34284375 |
transcript.pyannote[3238].end |
14183.80596875 |
transcript.pyannote[3239].speaker |
SPEAKER_14 |
transcript.pyannote[3239].start |
14183.80596875 |
transcript.pyannote[3239].end |
14194.80846875 |
transcript.pyannote[3240].speaker |
SPEAKER_10 |
transcript.pyannote[3240].start |
14183.92409375 |
transcript.pyannote[3240].end |
14184.58221875 |
transcript.pyannote[3241].speaker |
SPEAKER_10 |
transcript.pyannote[3241].start |
14185.05471875 |
transcript.pyannote[3241].end |
14187.75471875 |
transcript.pyannote[3242].speaker |
SPEAKER_10 |
transcript.pyannote[3242].start |
14189.10471875 |
transcript.pyannote[3242].end |
14189.74596875 |
transcript.pyannote[3243].speaker |
SPEAKER_10 |
transcript.pyannote[3243].start |
14193.99846875 |
transcript.pyannote[3243].end |
14205.06846875 |
transcript.pyannote[3244].speaker |
SPEAKER_14 |
transcript.pyannote[3244].start |
14200.79909375 |
transcript.pyannote[3244].end |
14212.69596875 |
transcript.pyannote[3245].speaker |
SPEAKER_10 |
transcript.pyannote[3245].start |
14207.68409375 |
transcript.pyannote[3245].end |
14208.79784375 |
transcript.pyannote[3246].speaker |
SPEAKER_10 |
transcript.pyannote[3246].start |
14211.21096875 |
transcript.pyannote[3246].end |
14211.76784375 |
transcript.pyannote[3247].speaker |
SPEAKER_00 |
transcript.pyannote[3247].start |
14211.76784375 |
transcript.pyannote[3247].end |
14211.78471875 |
transcript.pyannote[3248].speaker |
SPEAKER_14 |
transcript.pyannote[3248].start |
14213.80971875 |
transcript.pyannote[3248].end |
14214.23159375 |
transcript.pyannote[3249].speaker |
SPEAKER_14 |
transcript.pyannote[3249].start |
14214.70409375 |
transcript.pyannote[3249].end |
14218.14659375 |
transcript.pyannote[3250].speaker |
SPEAKER_14 |
transcript.pyannote[3250].start |
14219.00721875 |
transcript.pyannote[3250].end |
14220.71159375 |
transcript.pyannote[3251].speaker |
SPEAKER_14 |
transcript.pyannote[3251].start |
14221.16721875 |
transcript.pyannote[3251].end |
14225.53784375 |
transcript.pyannote[3252].speaker |
SPEAKER_14 |
transcript.pyannote[3252].start |
14225.90909375 |
transcript.pyannote[3252].end |
14227.27596875 |
transcript.pyannote[3253].speaker |
SPEAKER_14 |
transcript.pyannote[3253].start |
14227.84971875 |
transcript.pyannote[3253].end |
14228.38971875 |
transcript.pyannote[3254].speaker |
SPEAKER_14 |
transcript.pyannote[3254].start |
14229.11534375 |
transcript.pyannote[3254].end |
14232.00096875 |
transcript.pyannote[3255].speaker |
SPEAKER_14 |
transcript.pyannote[3255].start |
14232.52409375 |
transcript.pyannote[3255].end |
14233.70534375 |
transcript.pyannote[3256].speaker |
SPEAKER_14 |
transcript.pyannote[3256].start |
14234.27909375 |
transcript.pyannote[3256].end |
14234.80221875 |
transcript.pyannote[3257].speaker |
SPEAKER_14 |
transcript.pyannote[3257].start |
14235.24096875 |
transcript.pyannote[3257].end |
14237.38409375 |
transcript.pyannote[3258].speaker |
SPEAKER_14 |
transcript.pyannote[3258].start |
14237.41784375 |
transcript.pyannote[3258].end |
14239.98284375 |
transcript.pyannote[3259].speaker |
SPEAKER_14 |
transcript.pyannote[3259].start |
14241.38346875 |
transcript.pyannote[3259].end |
14241.82221875 |
transcript.pyannote[3260].speaker |
SPEAKER_14 |
transcript.pyannote[3260].start |
14242.24409375 |
transcript.pyannote[3260].end |
14242.86846875 |
transcript.pyannote[3261].speaker |
SPEAKER_14 |
transcript.pyannote[3261].start |
14244.15096875 |
transcript.pyannote[3261].end |
14245.38284375 |
transcript.pyannote[3262].speaker |
SPEAKER_14 |
transcript.pyannote[3262].start |
14245.58534375 |
transcript.pyannote[3262].end |
14246.51346875 |
transcript.pyannote[3263].speaker |
SPEAKER_14 |
transcript.pyannote[3263].start |
14247.15471875 |
transcript.pyannote[3263].end |
14252.77409375 |
transcript.pyannote[3264].speaker |
SPEAKER_14 |
transcript.pyannote[3264].start |
14253.07784375 |
transcript.pyannote[3264].end |
14256.99284375 |
transcript.pyannote[3265].speaker |
SPEAKER_14 |
transcript.pyannote[3265].start |
14257.60034375 |
transcript.pyannote[3265].end |
14258.59596875 |
transcript.pyannote[3266].speaker |
SPEAKER_14 |
transcript.pyannote[3266].start |
14259.47346875 |
transcript.pyannote[3266].end |
14259.96284375 |
transcript.pyannote[3267].speaker |
SPEAKER_20 |
transcript.pyannote[3267].start |
14259.96284375 |
transcript.pyannote[3267].end |
14260.89096875 |
transcript.pyannote[3268].speaker |
SPEAKER_14 |
transcript.pyannote[3268].start |
14260.06409375 |
transcript.pyannote[3268].end |
14260.62096875 |
transcript.pyannote[3269].speaker |
SPEAKER_14 |
transcript.pyannote[3269].start |
14261.71784375 |
transcript.pyannote[3269].end |
14263.01721875 |
transcript.pyannote[3270].speaker |
SPEAKER_10 |
transcript.pyannote[3270].start |
14263.01721875 |
transcript.pyannote[3270].end |
14263.03409375 |
transcript.pyannote[3271].speaker |
SPEAKER_14 |
transcript.pyannote[3271].start |
14263.77659375 |
transcript.pyannote[3271].end |
14263.96221875 |
transcript.pyannote[3272].speaker |
SPEAKER_10 |
transcript.pyannote[3272].start |
14263.96221875 |
transcript.pyannote[3272].end |
14264.18159375 |
transcript.pyannote[3273].speaker |
SPEAKER_10 |
transcript.pyannote[3273].start |
14264.95784375 |
transcript.pyannote[3273].end |
14274.49221875 |
transcript.pyannote[3274].speaker |
SPEAKER_14 |
transcript.pyannote[3274].start |
14273.95221875 |
transcript.pyannote[3274].end |
14280.97221875 |
transcript.pyannote[3275].speaker |
SPEAKER_10 |
transcript.pyannote[3275].start |
14278.69409375 |
transcript.pyannote[3275].end |
14279.89221875 |
transcript.pyannote[3276].speaker |
SPEAKER_10 |
transcript.pyannote[3276].start |
14280.97221875 |
transcript.pyannote[3276].end |
14286.79409375 |
transcript.pyannote[3277].speaker |
SPEAKER_14 |
transcript.pyannote[3277].start |
14282.08596875 |
transcript.pyannote[3277].end |
14282.65971875 |
transcript.pyannote[3278].speaker |
SPEAKER_14 |
transcript.pyannote[3278].start |
14286.79409375 |
transcript.pyannote[3278].end |
14294.11784375 |
transcript.pyannote[3279].speaker |
SPEAKER_10 |
transcript.pyannote[3279].start |
14292.59909375 |
transcript.pyannote[3279].end |
14293.61159375 |
transcript.pyannote[3280].speaker |
SPEAKER_14 |
transcript.pyannote[3280].start |
14294.77596875 |
transcript.pyannote[3280].end |
14298.69096875 |
transcript.pyannote[3281].speaker |
SPEAKER_14 |
transcript.pyannote[3281].start |
14299.31534375 |
transcript.pyannote[3281].end |
14301.89721875 |
transcript.pyannote[3282].speaker |
SPEAKER_14 |
transcript.pyannote[3282].start |
14302.11659375 |
transcript.pyannote[3282].end |
14305.13721875 |
transcript.pyannote[3283].speaker |
SPEAKER_14 |
transcript.pyannote[3283].start |
14306.36909375 |
transcript.pyannote[3283].end |
14307.80346875 |
transcript.pyannote[3284].speaker |
SPEAKER_14 |
transcript.pyannote[3284].start |
14308.93409375 |
transcript.pyannote[3284].end |
14310.72284375 |
transcript.pyannote[3285].speaker |
SPEAKER_10 |
transcript.pyannote[3285].start |
14310.72284375 |
transcript.pyannote[3285].end |
14310.75659375 |
transcript.pyannote[3286].speaker |
SPEAKER_14 |
transcript.pyannote[3286].start |
14311.33034375 |
transcript.pyannote[3286].end |
14311.34721875 |
transcript.pyannote[3287].speaker |
SPEAKER_10 |
transcript.pyannote[3287].start |
14311.34721875 |
transcript.pyannote[3287].end |
14321.42159375 |
transcript.pyannote[3288].speaker |
SPEAKER_14 |
transcript.pyannote[3288].start |
14311.48221875 |
transcript.pyannote[3288].end |
14312.91659375 |
transcript.pyannote[3289].speaker |
SPEAKER_14 |
transcript.pyannote[3289].start |
14319.97034375 |
transcript.pyannote[3289].end |
14322.55221875 |
transcript.pyannote[3290].speaker |
SPEAKER_14 |
transcript.pyannote[3290].start |
14322.99096875 |
transcript.pyannote[3290].end |
14324.93159375 |
transcript.pyannote[3291].speaker |
SPEAKER_14 |
transcript.pyannote[3291].start |
14325.23534375 |
transcript.pyannote[3291].end |
14326.73721875 |
transcript.pyannote[3292].speaker |
SPEAKER_13 |
transcript.pyannote[3292].start |
14327.71596875 |
transcript.pyannote[3292].end |
14328.79596875 |
transcript.pyannote[3293].speaker |
SPEAKER_14 |
transcript.pyannote[3293].start |
14328.79596875 |
transcript.pyannote[3293].end |
14333.60534375 |
transcript.pyannote[3294].speaker |
SPEAKER_13 |
transcript.pyannote[3294].start |
14329.85909375 |
transcript.pyannote[3294].end |
14330.43284375 |
transcript.pyannote[3295].speaker |
SPEAKER_14 |
transcript.pyannote[3295].start |
14334.29721875 |
transcript.pyannote[3295].end |
14339.91659375 |
transcript.pyannote[3296].speaker |
SPEAKER_17 |
transcript.pyannote[3296].start |
14338.95471875 |
transcript.pyannote[3296].end |
14339.02221875 |
transcript.pyannote[3297].speaker |
SPEAKER_13 |
transcript.pyannote[3297].start |
14339.02221875 |
transcript.pyannote[3297].end |
14339.15721875 |
transcript.pyannote[3298].speaker |
SPEAKER_14 |
transcript.pyannote[3298].start |
14340.62534375 |
transcript.pyannote[3298].end |
14345.55284375 |
transcript.pyannote[3299].speaker |
SPEAKER_14 |
transcript.pyannote[3299].start |
14345.65409375 |
transcript.pyannote[3299].end |
14347.47659375 |
transcript.pyannote[3300].speaker |
SPEAKER_14 |
transcript.pyannote[3300].start |
14347.93221875 |
transcript.pyannote[3300].end |
14349.63659375 |
transcript.pyannote[3301].speaker |
SPEAKER_14 |
transcript.pyannote[3301].start |
14350.14284375 |
transcript.pyannote[3301].end |
14351.89784375 |
transcript.pyannote[3302].speaker |
SPEAKER_10 |
transcript.pyannote[3302].start |
14351.47596875 |
transcript.pyannote[3302].end |
14351.49284375 |
transcript.pyannote[3303].speaker |
SPEAKER_13 |
transcript.pyannote[3303].start |
14351.49284375 |
transcript.pyannote[3303].end |
14351.84721875 |
transcript.pyannote[3304].speaker |
SPEAKER_14 |
transcript.pyannote[3304].start |
14353.24784375 |
transcript.pyannote[3304].end |
14355.25596875 |
transcript.pyannote[3305].speaker |
SPEAKER_14 |
transcript.pyannote[3305].start |
14355.96471875 |
transcript.pyannote[3305].end |
14357.50034375 |
transcript.pyannote[3306].speaker |
SPEAKER_10 |
transcript.pyannote[3306].start |
14357.68596875 |
transcript.pyannote[3306].end |
14357.92221875 |
transcript.pyannote[3307].speaker |
SPEAKER_14 |
transcript.pyannote[3307].start |
14357.92221875 |
transcript.pyannote[3307].end |
14361.55034375 |
transcript.pyannote[3308].speaker |
SPEAKER_14 |
transcript.pyannote[3308].start |
14362.73159375 |
transcript.pyannote[3308].end |
14366.14034375 |
transcript.pyannote[3309].speaker |
SPEAKER_14 |
transcript.pyannote[3309].start |
14366.44409375 |
transcript.pyannote[3309].end |
14368.04721875 |
transcript.pyannote[3310].speaker |
SPEAKER_14 |
transcript.pyannote[3310].start |
14368.40159375 |
transcript.pyannote[3310].end |
14368.94159375 |
transcript.pyannote[3311].speaker |
SPEAKER_14 |
transcript.pyannote[3311].start |
14369.29596875 |
transcript.pyannote[3311].end |
14372.77221875 |
transcript.pyannote[3312].speaker |
SPEAKER_14 |
transcript.pyannote[3312].start |
14373.17721875 |
transcript.pyannote[3312].end |
14381.36159375 |
transcript.pyannote[3313].speaker |
SPEAKER_14 |
transcript.pyannote[3313].start |
14382.08721875 |
transcript.pyannote[3313].end |
14384.39909375 |
transcript.pyannote[3314].speaker |
SPEAKER_14 |
transcript.pyannote[3314].start |
14384.83784375 |
transcript.pyannote[3314].end |
14387.58846875 |
transcript.pyannote[3315].speaker |
SPEAKER_14 |
transcript.pyannote[3315].start |
14388.65159375 |
transcript.pyannote[3315].end |
14402.03346875 |
transcript.pyannote[3316].speaker |
SPEAKER_14 |
transcript.pyannote[3316].start |
14402.82659375 |
transcript.pyannote[3316].end |
14409.44159375 |
transcript.pyannote[3317].speaker |
SPEAKER_10 |
transcript.pyannote[3317].start |
14409.44159375 |
transcript.pyannote[3317].end |
14409.50909375 |
transcript.pyannote[3318].speaker |
SPEAKER_14 |
transcript.pyannote[3318].start |
14410.04909375 |
transcript.pyannote[3318].end |
14410.06596875 |
transcript.pyannote[3319].speaker |
SPEAKER_10 |
transcript.pyannote[3319].start |
14410.06596875 |
transcript.pyannote[3319].end |
14418.90846875 |
transcript.pyannote[3320].speaker |
SPEAKER_14 |
transcript.pyannote[3320].start |
14418.45284375 |
transcript.pyannote[3320].end |
14419.71846875 |
transcript.pyannote[3321].speaker |
SPEAKER_10 |
transcript.pyannote[3321].start |
14419.71846875 |
transcript.pyannote[3321].end |
14421.99659375 |
transcript.pyannote[3322].speaker |
SPEAKER_14 |
transcript.pyannote[3322].start |
14421.23721875 |
transcript.pyannote[3322].end |
14421.81096875 |
transcript.pyannote[3323].speaker |
SPEAKER_10 |
transcript.pyannote[3323].start |
14422.43534375 |
transcript.pyannote[3323].end |
14429.06721875 |
transcript.pyannote[3324].speaker |
SPEAKER_14 |
transcript.pyannote[3324].start |
14426.80596875 |
transcript.pyannote[3324].end |
14427.21096875 |
transcript.pyannote[3325].speaker |
SPEAKER_14 |
transcript.pyannote[3325].start |
14429.06721875 |
transcript.pyannote[3325].end |
14430.34971875 |
transcript.pyannote[3326].speaker |
SPEAKER_10 |
transcript.pyannote[3326].start |
14429.08409375 |
transcript.pyannote[3326].end |
14430.06284375 |
transcript.pyannote[3327].speaker |
SPEAKER_14 |
transcript.pyannote[3327].start |
14430.67034375 |
transcript.pyannote[3327].end |
14444.11971875 |
transcript.pyannote[3328].speaker |
SPEAKER_10 |
transcript.pyannote[3328].start |
14435.76659375 |
transcript.pyannote[3328].end |
14436.91409375 |
transcript.pyannote[3329].speaker |
SPEAKER_10 |
transcript.pyannote[3329].start |
14443.73159375 |
transcript.pyannote[3329].end |
14444.03534375 |
transcript.pyannote[3330].speaker |
SPEAKER_14 |
transcript.pyannote[3330].start |
14444.62596875 |
transcript.pyannote[3330].end |
14452.15221875 |
transcript.pyannote[3331].speaker |
SPEAKER_14 |
transcript.pyannote[3331].start |
14453.09721875 |
transcript.pyannote[3331].end |
14454.21096875 |
transcript.pyannote[3332].speaker |
SPEAKER_14 |
transcript.pyannote[3332].start |
14454.59909375 |
transcript.pyannote[3332].end |
14458.83471875 |
transcript.pyannote[3333].speaker |
SPEAKER_14 |
transcript.pyannote[3333].start |
14459.34096875 |
transcript.pyannote[3333].end |
14461.23096875 |
transcript.pyannote[3334].speaker |
SPEAKER_10 |
transcript.pyannote[3334].start |
14462.96909375 |
transcript.pyannote[3334].end |
14466.81659375 |
transcript.pyannote[3335].speaker |
SPEAKER_14 |
transcript.pyannote[3335].start |
14464.18409375 |
transcript.pyannote[3335].end |
14464.72409375 |
transcript.pyannote[3336].speaker |
SPEAKER_10 |
transcript.pyannote[3336].start |
14467.03596875 |
transcript.pyannote[3336].end |
14478.19034375 |
transcript.pyannote[3337].speaker |
SPEAKER_14 |
transcript.pyannote[3337].start |
14477.39721875 |
transcript.pyannote[3337].end |
14479.18596875 |
transcript.pyannote[3338].speaker |
SPEAKER_10 |
transcript.pyannote[3338].start |
14479.06784375 |
transcript.pyannote[3338].end |
14479.30409375 |
transcript.pyannote[3339].speaker |
SPEAKER_14 |
transcript.pyannote[3339].start |
14479.30409375 |
transcript.pyannote[3339].end |
14486.13846875 |
transcript.pyannote[3340].speaker |
SPEAKER_10 |
transcript.pyannote[3340].start |
14481.88596875 |
transcript.pyannote[3340].end |
14481.97034375 |
transcript.pyannote[3341].speaker |
SPEAKER_14 |
transcript.pyannote[3341].start |
14486.40846875 |
transcript.pyannote[3341].end |
14497.29284375 |
transcript.pyannote[3342].speaker |
SPEAKER_14 |
transcript.pyannote[3342].start |
14497.84971875 |
transcript.pyannote[3342].end |
14501.98409375 |
transcript.pyannote[3343].speaker |
SPEAKER_14 |
transcript.pyannote[3343].start |
14502.86159375 |
transcript.pyannote[3343].end |
14504.66721875 |
transcript.pyannote[3344].speaker |
SPEAKER_14 |
transcript.pyannote[3344].start |
14505.76409375 |
transcript.pyannote[3344].end |
14508.93659375 |
transcript.pyannote[3345].speaker |
SPEAKER_14 |
transcript.pyannote[3345].start |
14509.52721875 |
transcript.pyannote[3345].end |
14510.25284375 |
transcript.pyannote[3346].speaker |
SPEAKER_14 |
transcript.pyannote[3346].start |
14510.60721875 |
transcript.pyannote[3346].end |
14512.96971875 |
transcript.pyannote[3347].speaker |
SPEAKER_10 |
transcript.pyannote[3347].start |
14511.88971875 |
transcript.pyannote[3347].end |
14512.05846875 |
transcript.pyannote[3348].speaker |
SPEAKER_10 |
transcript.pyannote[3348].start |
14512.96971875 |
transcript.pyannote[3348].end |
14522.53784375 |
transcript.pyannote[3349].speaker |
SPEAKER_14 |
transcript.pyannote[3349].start |
14522.09909375 |
transcript.pyannote[3349].end |
14531.65034375 |
transcript.pyannote[3350].speaker |
SPEAKER_14 |
transcript.pyannote[3350].start |
14532.66284375 |
transcript.pyannote[3350].end |
14537.40471875 |
transcript.pyannote[3351].speaker |
SPEAKER_00 |
transcript.pyannote[3351].start |
14533.96221875 |
transcript.pyannote[3351].end |
14534.35034375 |
transcript.pyannote[3352].speaker |
SPEAKER_14 |
transcript.pyannote[3352].start |
14537.53971875 |
transcript.pyannote[3352].end |
14541.45471875 |
transcript.pyannote[3353].speaker |
SPEAKER_14 |
transcript.pyannote[3353].start |
14542.19721875 |
transcript.pyannote[3353].end |
14549.35221875 |
transcript.pyannote[3354].speaker |
SPEAKER_13 |
transcript.pyannote[3354].start |
14543.85096875 |
transcript.pyannote[3354].end |
14544.64409375 |
transcript.pyannote[3355].speaker |
SPEAKER_14 |
transcript.pyannote[3355].start |
14549.77409375 |
transcript.pyannote[3355].end |
14558.39721875 |
transcript.pyannote[3356].speaker |
SPEAKER_14 |
transcript.pyannote[3356].start |
14558.63346875 |
transcript.pyannote[3356].end |
14563.78034375 |
transcript.pyannote[3357].speaker |
SPEAKER_14 |
transcript.pyannote[3357].start |
14563.89846875 |
transcript.pyannote[3357].end |
14565.87284375 |
transcript.pyannote[3358].speaker |
SPEAKER_14 |
transcript.pyannote[3358].start |
14566.32846875 |
transcript.pyannote[3358].end |
14567.83034375 |
transcript.pyannote[3359].speaker |
SPEAKER_14 |
transcript.pyannote[3359].start |
14567.89784375 |
transcript.pyannote[3359].end |
14570.51346875 |
transcript.pyannote[3360].speaker |
SPEAKER_14 |
transcript.pyannote[3360].start |
14571.72846875 |
transcript.pyannote[3360].end |
14582.57909375 |
transcript.pyannote[3361].speaker |
SPEAKER_10 |
transcript.pyannote[3361].start |
14575.96409375 |
transcript.pyannote[3361].end |
14577.92159375 |
transcript.pyannote[3362].speaker |
SPEAKER_14 |
transcript.pyannote[3362].start |
14582.95034375 |
transcript.pyannote[3362].end |
14586.00471875 |
transcript.pyannote[3363].speaker |
SPEAKER_10 |
transcript.pyannote[3363].start |
14586.25784375 |
transcript.pyannote[3363].end |
14586.74721875 |
transcript.pyannote[3364].speaker |
SPEAKER_14 |
transcript.pyannote[3364].start |
14586.74721875 |
transcript.pyannote[3364].end |
14588.97471875 |
transcript.pyannote[3365].speaker |
SPEAKER_10 |
transcript.pyannote[3365].start |
14588.97471875 |
transcript.pyannote[3365].end |
14590.03784375 |
transcript.pyannote[3366].speaker |
SPEAKER_14 |
transcript.pyannote[3366].start |
14590.03784375 |
transcript.pyannote[3366].end |
14592.97409375 |
transcript.pyannote[3367].speaker |
SPEAKER_10 |
transcript.pyannote[3367].start |
14590.93221875 |
transcript.pyannote[3367].end |
14591.99534375 |
transcript.pyannote[3368].speaker |
SPEAKER_10 |
transcript.pyannote[3368].start |
14592.97409375 |
transcript.pyannote[3368].end |
14593.02471875 |
transcript.pyannote[3369].speaker |
SPEAKER_14 |
transcript.pyannote[3369].start |
14593.02471875 |
transcript.pyannote[3369].end |
14593.26096875 |
transcript.pyannote[3370].speaker |
SPEAKER_14 |
transcript.pyannote[3370].start |
14593.44659375 |
transcript.pyannote[3370].end |
14593.90221875 |
transcript.pyannote[3371].speaker |
SPEAKER_07 |
transcript.pyannote[3371].start |
14600.44971875 |
transcript.pyannote[3371].end |
14601.19221875 |
transcript.pyannote[3372].speaker |
SPEAKER_07 |
transcript.pyannote[3372].start |
14602.96409375 |
transcript.pyannote[3372].end |
14604.21284375 |
transcript.pyannote[3373].speaker |
SPEAKER_07 |
transcript.pyannote[3373].start |
14607.92534375 |
transcript.pyannote[3373].end |
14635.63409375 |
transcript.pyannote[3374].speaker |
SPEAKER_07 |
transcript.pyannote[3374].start |
14637.18659375 |
transcript.pyannote[3374].end |
14638.60409375 |
transcript.pyannote[3375].speaker |
SPEAKER_07 |
transcript.pyannote[3375].start |
14638.70534375 |
transcript.pyannote[3375].end |
14640.10596875 |
transcript.pyannote[3376].speaker |
SPEAKER_07 |
transcript.pyannote[3376].start |
14640.62909375 |
transcript.pyannote[3376].end |
14640.96659375 |
transcript.pyannote[3377].speaker |
SPEAKER_06 |
transcript.pyannote[3377].start |
14640.96659375 |
transcript.pyannote[3377].end |
14641.28721875 |
transcript.pyannote[3378].speaker |
SPEAKER_06 |
transcript.pyannote[3378].start |
14643.31221875 |
transcript.pyannote[3378].end |
14646.85596875 |
transcript.pyannote[3379].speaker |
SPEAKER_17 |
transcript.pyannote[3379].start |
14654.02784375 |
transcript.pyannote[3379].end |
14657.25096875 |
transcript.pyannote[3380].speaker |
SPEAKER_04 |
transcript.pyannote[3380].start |
14655.85034375 |
transcript.pyannote[3380].end |
14656.55909375 |
transcript.whisperx[0].start |
121.715 |
transcript.whisperx[0].end |
123.387 |
transcript.whisperx[0].text |
響鐘 |
transcript.whisperx[1].start |
370.406 |
transcript.whisperx[1].end |
371.234 |
transcript.whisperx[1].text |
主席 |
transcript.whisperx[2].start |
806.641 |
transcript.whisperx[2].end |
807.203 |
transcript.whisperx[2].text |
主席 |
transcript.whisperx[3].start |
849.091 |
transcript.whisperx[3].end |
869.777 |
transcript.whisperx[3].text |
委員會委員會委員會 |
transcript.whisperx[4].start |
1148.387 |
transcript.whisperx[4].end |
1149.906 |
transcript.whisperx[4].text |
響鐘 |
transcript.whisperx[5].start |
1186.902 |
transcript.whisperx[5].end |
1191.456 |
transcript.whisperx[5].text |
主席 |
transcript.whisperx[6].start |
1235.597 |
transcript.whisperx[6].end |
1244.864 |
transcript.whisperx[6].text |
委員會主席 |
transcript.whisperx[7].start |
1275.725 |
transcript.whisperx[7].end |
1276.954 |
transcript.whisperx[7].text |
響鐘 |
transcript.whisperx[8].start |
1513.284 |
transcript.whisperx[8].end |
1514.494 |
transcript.whisperx[8].text |
主席 |
transcript.whisperx[9].start |
1575.277 |
transcript.whisperx[9].end |
1577.112 |
transcript.whisperx[9].text |
主席 |
transcript.whisperx[10].start |
1617.031 |
transcript.whisperx[10].end |
1635.668 |
transcript.whisperx[10].text |
委員會主席 |
transcript.whisperx[11].start |
1771.38 |
transcript.whisperx[11].end |
1792.591 |
transcript.whisperx[11].text |
好我們現在繼續開會進行報告事項請宣讀邀請農業部部長就農業移工政策改善措施進行報告並備質詢宣讀完畢好我們謝謝議事主那本日的議程排定是農業移工政策改善措施進行報告並備質詢我們現在就請農業部部長陳俊記部長進行報告 |
transcript.whisperx[12].start |
1809.688 |
transcript.whisperx[12].end |
1834.087 |
transcript.whisperx[12].text |
主席、各位委員那經濟農業部應邀到經濟委員會來報告有關於農業移工政策改善的一個措施那首先還是再度感謝我們所有的委員長期來對於我們農業的一個相關的議題的一個關心然後也提出了非常多的一個建議那以下就農業移工的政策與檢報的方式跟各位說明那檢報大綱請參閱 |
transcript.whisperx[13].start |
1837.052 |
transcript.whisperx[13].end |
1855.233 |
transcript.whisperx[13].text |
當你去討論缺工的時候我想我們先去了解一下現在目前農業的一個從業人口那根據主計總署的一個調查110年度的人口大概是50.9萬人那他的年齡大概在53.5歲那雖然說這個年齡是有逐步有點上升的一個趨勢 |
transcript.whisperx[14].start |
1856.374 |
transcript.whisperx[14].end |
1876.366 |
transcript.whisperx[14].text |
那針對勞動地的一個調查在112年度我們啟動了一個調查那我們調查的對象是以主力農家為對象大概是21.1萬戶的農家你們去做抽樣的調查那調查的結果顯示大概有6%的這些主力農家他有一個缺工的就是有一些缺工的一個現象 |
transcript.whisperx[15].start |
1877.206 |
transcript.whisperx[15].end |
1896.38 |
transcript.whisperx[15].text |
這些缺工的部分大概分為兩個部分一個部分是一個就是他需要比較長期的這種長期的一個員工那另外一部分是因為他季節性的採收需要一些臨時的這些員工那以長期的員工來講他缺工數大概是2345戶那缺工人次大概是4505次 |
transcript.whisperx[16].start |
1898.621 |
transcript.whisperx[16].end |
1909.206 |
transcript.whisperx[16].text |
人次就是以這樣子的一個數據他的缺工的樣態並不一樣那同樣的就是臨時缺工的部分缺工數大概有10731戶那如果說以缺工人次來看的話是86000多人次 |
transcript.whisperx[17].start |
1916.289 |
transcript.whisperx[17].end |
1932.134 |
transcript.whisperx[17].text |
那如果說以地區來看的話整個缺工不管是常務的員工或者是臨時的員工大概是以中部地區為主他的缺工的現象是比較嚴重接下來是南部的地區那東部的地區相對的是比較少的 |
transcript.whisperx[18].start |
1934.326 |
transcript.whisperx[18].end |
1950.196 |
transcript.whisperx[18].text |
﹗ |
transcript.whisperx[19].start |
1950.676 |
transcript.whisperx[19].end |
1969.014 |
transcript.whisperx[19].text |
一百十四萬一千多但是經過我們的一些努力各方面的一個努力來降低這些缺工的需求那也看到了一個滿顯著的一個成果他在不管是在整個的一個季節性缺工的部分有一個顯著的一個下降 |
transcript.whisperx[20].start |
1970.46 |
transcript.whisperx[20].end |
1985.055 |
transcript.whisperx[20].text |
針對農糧的部分其實也有這樣的現象然後畜牧的部分它的下降的趨勢更明顯對移工的需求顯現說我們目前的政策政策的推動是對於缺工事業的一個解決是有幫助的 |
transcript.whisperx[21].start |
1986.869 |
transcript.whisperx[21].end |
2010.616 |
transcript.whisperx[21].text |
接下來我想跟各位報告就是針對農業部門的一個缺工那農業部本身大概用兩個方面去做處理第一個方面就是我們想辦法穩定我們的人力的供給甚至於增加這個人力的供給那第二個部分就是我們想辦法去減少對人力的一個需求那針對人力的穩定跟增加的供給裡面 |
transcript.whisperx[22].start |
2012.436 |
transcript.whisperx[22].end |
2036.813 |
transcript.whisperx[22].text |
最主要是就是引入了這些外籍的移工來協助我們本身的一個農事的一個操作那到目前為止我們接受就是跟勞動部爭取的是大概一萬兩千人來做這樣的處理那包括還有其他的外國的青農跟農業的實習那除了外籍移工以外其實本國的這些 |
transcript.whisperx[23].start |
2038.334 |
transcript.whisperx[23].end |
2064.537 |
transcript.whisperx[23].text |
人員去增加農事的一個協助的部分也是非常重要的所以我們建立了區域性的農業的人力的調度那相對的我們成立了49個人力團那這個人力團每年穩定的招生大概1500個人那他服務的一個農場的家屬大概5000人那第二個部分是更重要的就是我們一直政策一直在推的就是當人力沒辦法滿足的時候我們想辦法去減少人力的需求 |
transcript.whisperx[24].start |
2065.297 |
transcript.whisperx[24].end |
2091.887 |
transcript.whisperx[24].text |
特別推動了相關的農機的積耕團跟農機的一個共享機制現在目前大概有15團跟5個專案去做為這種農事的一個服務業那整個移工因為今天的主題是針對移工的部分那我們先review一下我們現在目前的移工的一個開放歷程那其實108年我們就開始示範當初只是從乳牛開始就是外展的乳牛大概800人 |
transcript.whisperx[25].start |
2092.667 |
transcript.whisperx[25].end |
2107.117 |
transcript.whisperx[25].text |
到了112年的時候我們已經達到112000人左右所以相對的針對移工來解決我們部分的缺工問題其實人數的增加是對我們整個政策是有幫助的 |
transcript.whisperx[26].start |
2108.993 |
transcript.whisperx[26].end |
2129.224 |
transcript.whisperx[26].text |
整個移工的聘僱模式大概分為兩個模式一個模式是屬於季節性缺工的部分那這些季節性缺工的部分他是用外展服務的方式他最主要是由我們的農業會或合作社來聘僱那聘僱的時候他會根據當地的需求來做一個外展的服務 |
transcript.whisperx[27].start |
2131.885 |
transcript.whisperx[27].end |
2152.031 |
transcript.whisperx[27].text |
主要是針對季節性的缺工當然有需要的時候就是派遣出去另外一部分是長期性的缺工長期性的缺工最主要是我在這個農場或在這個畜牧場或是在這個漁務廊之上我幾乎每天都需要相關的人力這樣一個前提之下我可以自行聘戶來外籍移工來協助我的一個農事的操作 |
transcript.whisperx[28].start |
2152.748 |
transcript.whisperx[28].end |
2168.04 |
transcript.whisperx[28].text |
那整個申請的規範我想在這邊就請大家做參閱那最主要是合配比的部分那我們也非常的努力去爭取的我們現在在10人以下的這些農戶或農民團體他跟本勞跟外勞比他可以達到1比1 |
transcript.whisperx[29].start |
2169.875 |
transcript.whisperx[29].end |
2191.252 |
transcript.whisperx[29].text |
那如果說我們看整個移工的一個情況的話我想在農糧部分還是占多數大概是4000人蓄墨的話4000人那林業的部分是相對比較少那漁業的部分其實那從這張圖表可以看得出來那整個的一個移工的情況在做外展服務大概 |
transcript.whisperx[30].start |
2192.213 |
transcript.whisperx[30].end |
2199.6 |
transcript.whisperx[30].text |
有相關的2472人是在做外診的部分那6000多人是在做長期性的一個故工 |
transcript.whisperx[31].start |
2201.072 |
transcript.whisperx[31].end |
2224.67 |
transcript.whisperx[31].text |
如果我們去分析這些移工他從事的這些產業別的部分那最主要還是以農糧為主然後畜牧、赤枝那其他的包括養殖業跟林業的部分那如果說以派工的情形的部分來看的話那相對的就是還是以農糧為主那相對的外產服務可以佔的29%那畜牧的話大概整個的整體外產服務的話那大概佔的7.69% |
transcript.whisperx[32].start |
2227.765 |
transcript.whisperx[32].end |
2248.416 |
transcript.whisperx[32].text |
除了人力的部分我剛才也提到就是說當我人力沒有辦法滿足的時候我一方面透過就是減少人力的需求那我們推動了非常多的農業的機械耕作那現在目前我們有15團5個專案來處理這個积工團的部分就是類似代耕中心的農事的服務業那它涵蓋的作物項有16種 |
transcript.whisperx[33].start |
2249.477 |
transcript.whisperx[33].end |
2269.812 |
transcript.whisperx[33].text |
那整個的耕作面積大概將近在3000多公頃左右那113年度的時候我們更期待更要進一步的在我們的新政策裡面我們的目標就是一個主要的產區的鄉鎮就是一個農事服務業就是一個雞耕團的農事服務業來協助這些需要工的一個情況 |
transcript.whisperx[34].start |
2271.564 |
transcript.whisperx[34].end |
2294.822 |
transcript.whisperx[34].text |
那在整個經濟作為部分大概分為幾個面向那第一個面向就是我們雖然說一萬兩千人是到目前的一個合配比現在目前大概有八千五百多人那我們預估在年底就會滿了所以我們現在也啟動了一些調查我們會再積極的來向勞動部來爭取他的一個緣額的一個開放能增加我們的勞動部的一個緣額 |
transcript.whisperx[35].start |
2296.003 |
transcript.whisperx[35].end |
2315.575 |
transcript.whisperx[35].text |
第二個部分是長期性的缺工的部分目前10年以下的農場是1比1的合配比相關的10年以上的這些農場它還是35%我們希望說透過我們的爭取也能夠把它降到1比1這樣的話我覺得這是一個非常重要的我們的關鍵 |
transcript.whisperx[36].start |
2316.596 |
transcript.whisperx[36].end |
2340.706 |
transcript.whisperx[36].text |
那相對的我們現在農場是越來越大那相對的動不動可能都超過10個人我們希望說10個人以上也能夠用一比一這個我想我們會努力的跟勞動部來爭取那除了人力的合併比以外還有一個非常重要的就是我們會降低很多的門檻就是從事這些農作物的一個門檻包括草皮或增加像包括草皮、芽菜 |
transcript.whisperx[37].start |
2341.306 |
transcript.whisperx[37].end |
2364.381 |
transcript.whisperx[37].text |
那水稻育苗已經有了但是它的面積現在的門檻比較高我們也希望做適度的調整包括使用菇類那對於短期的這些需要短期的這些缺工以外因為我們現在的這些外展工都是在同一個區域裡面做調派沒辦法跨區可是現在我們有非常多的一個同一種作物的收穫是從南到北 |
transcript.whisperx[38].start |
2365.714 |
transcript.whisperx[38].end |
2388.808 |
transcript.whisperx[38].text |
那換句話說當你這個做向水稻從南到北的時候你的代耕團就可以從南一直收同一個團可以從南部一直收到北部那也會減少了這些代耕業者的需求所以我們現在嘗試著去做這個這個外展移工可以跨區調派的一個計畫那也希望都透過強化的合作管理來擴大一個方式 |
transcript.whisperx[39].start |
2389.968 |
transcript.whisperx[39].end |
2417.155 |
transcript.whisperx[39].text |
最後我想跟各位委員說明就是我們農業部一直非常重視缺工的議題然後我們也分別針對兩個方式包括想辦法去增加人力那另外一部分就是當人力沒辦法滿足的時候我們想辦法去提高它的機械化自動化的一個程度來減少對勞力的一個需求那過程中我想我們隨時都在跟農民做相關的這些討論然後也解決他們的所謂的困難 |
transcript.whisperx[40].start |
2417.961 |
transcript.whisperx[40].end |
2418.421 |
transcript.whisperx[40].text |
好,我們謝謝部長的報告 |
transcript.whisperx[41].start |
2442.185 |
transcript.whisperx[41].end |
2466.954 |
transcript.whisperx[41].text |
我們現在勞動部的書面報告我們請委員自行參閱並刊登公報那委員勳答前主席台依照慣例我們做幾項的宣告每位委員發言的時間本委會6分鐘必要時延長1分鐘非本委會4分鐘上午10點半截止發言登記我們首先要請登記第一位的林黛樺委員發言請 |
transcript.whisperx[42].start |
2470.765 |
transcript.whisperx[42].end |
2471.106 |
transcript.whisperx[42].text |
有請部長我們請陳部長 |
transcript.whisperx[43].start |
2479.145 |
transcript.whisperx[43].end |
2503.716 |
transcript.whisperx[43].text |
委員長今天針對兩個議題一個是農業資訊安全一個是農業勞動力缺乏資訊安全的部分本席要提出一個案例我們來進行剖析討論第二個在農金署針對農業資訊的這兩個一個單位你們是否有公平對待針對南農中心跟農金資訊公司好再者再次我們農業勞動力匱乏好這邊部長要請您表態治安 |
transcript.whisperx[44].start |
2508.158 |
transcript.whisperx[44].end |
2532.553 |
transcript.whisperx[44].text |
是不是國安?如果是你能夠接受您的下面各部各屬施各單位違反治安原則嗎?第三個你能夠接受您所有下面的各單位在處理民眾爭議的時候是不公平的嗎?這三個您必須要執行表態我才能夠繼續的來跟您討論 |
transcript.whisperx[45].start |
2535.234 |
transcript.whisperx[45].end |
2537.115 |
transcript.whisperx[45].text |
您能夠接受您下面的單位違反治安的原則嗎? |
transcript.whisperx[46].start |
2553.919 |
transcript.whisperx[46].end |
2554.799 |
transcript.whisperx[46].text |
我 我想 |
transcript.whisperx[47].start |
2584.353 |
transcript.whisperx[47].end |
2598.74 |
transcript.whisperx[47].text |
我們來看這個案例最近才發生在這個我就先以這張圖一個是神崗農會這是受害者他的旁邊呢這叫無辜的受害者 |
transcript.whisperx[48].start |
2600.001 |
transcript.whisperx[48].end |
2617.883 |
transcript.whisperx[48].text |
這邊有農金資公司南農中心 那農金資公司我說過 這家公司政府百分百支持 不要說政府啦 就是農業金庫百分百投資 但是他完全所有業務都在外包 沒有設計人員 所有的維護也是都是外包 |
transcript.whisperx[49].start |
2618.464 |
transcript.whisperx[49].end |
2629.813 |
transcript.whisperx[49].text |
好那也沒關係反正你們接受嘛你們認為農業部有錢嘛好但是呢他竟然允許外包公司進到神農區農會然後呢去竊取南農中心在神崗農會的資料而且呢我為什麼說竊取這已經是從商業競爭當中的商業間諜了 |
transcript.whisperx[50].start |
2641.201 |
transcript.whisperx[50].end |
2662.495 |
transcript.whisperx[50].text |
因為他用了一個任何的資訊系統其實這兩方不管南農中心或農經資他們是有約定軟體的甚至你看這個末端獨立系統南農中心都有規範的好所以呢你在農經資公司你運行的外包在約定作業範圍外的木馬城市 |
transcript.whisperx[51].start |
2663.536 |
transcript.whisperx[51].end |
2677.451 |
transcript.whisperx[51].text |
你用了這個在這個在這個這個神鋼農會當中的這個外包公司叫商商商商的末端來竊取南農中心的資料好也那這個呢你們來這邊 |
transcript.whisperx[52].start |
2680.675 |
transcript.whisperx[52].end |
2696.136 |
transcript.whisperx[52].text |
我怎麼知道從去年在今年5月的時候南龍中心檢測就發現到高頻率的交易異常性每6秒固定竊取共66000餘次經查是非約定的程式 |
transcript.whisperx[53].start |
2697.025 |
transcript.whisperx[53].end |
2711.744 |
transcript.whisperx[53].text |
好 這個都已經這個我為了齁好來我們來看你能夠允許你的部會農金屬是怎麼樣的處理他今天7月4號要開個會他也出席喔邀了農金資喔已經南農中心結果你們說什麼我只針對 |
transcript.whisperx[54].start |
2714.447 |
transcript.whisperx[54].end |
2740.314 |
transcript.whisperx[54].text |
受害者叫做神鋼農會信用部跟受害者南農中心的轉換系統的爭議來釐清問題你加害著農經公司你是不處理的我為了來質詢這個東西本期邀請了誰邀請了國安這個治安我們國家在處理這個治安是哪一個部門速發部我邀請速發部下面的治安院公共工程委員會經管會 |
transcript.whisperx[55].start |
2741.954 |
transcript.whisperx[55].end |
2743.055 |
transcript.whisperx[55].text |
我找了4個單位來來確認這個案情這樣的分析結果你看你們農金署啊 |
transcript.whisperx[56].start |
2763.188 |
transcript.whisperx[56].end |
2765.129 |
transcript.whisperx[56].text |
所以我請了四個單位來好所以呢這個下面下面 |
transcript.whisperx[57].start |
2781.55 |
transcript.whisperx[57].end |
2786.491 |
transcript.whisperx[57].text |
那這個議題最後您再來回應我先針對農業勞動力的問題我們現在農業農家戶啊76萬戶農家的人口數是239萬人我實質農牧的從業戶是多少76萬降為35萬只有一半在從事而這35萬當中的高齡農牧戶65歲上的佔46% |
transcript.whisperx[58].start |
2807.395 |
transcript.whisperx[58].end |
2822.529 |
transcript.whisperx[58].text |
而我們來看產值這個是我們行政院主計處提供的在這個農林漁牧業這個的產值從108到我們去年112我的農業產值的逐年比是持平而且還逐年下降 |
transcript.whisperx[59].start |
2823.71 |
transcript.whisperx[59].end |
2842.407 |
transcript.whisperx[59].text |
當然這樣的微幅下降表示什麼我獲利期望低啊所以農業從業人口從在將近10年前104年這10年來我減少了5萬人關鍵原因就是我農業對年輕世代的吸引力不足所以農業去工不是未來是他是一個進行式 |
transcript.whisperx[60].start |
2844.616 |
transcript.whisperx[60].end |
2865.208 |
transcript.whisperx[60].text |
好 那這個你們現在的農業引進外勞是利益良善規則清楚但是是不盡現實你們的規定說這個10人以下一共一比一甚至容器這個我都沒有意見但是重點是你什麼叫不盡事實你說這個租約一定要3年以上你才可以申請外勞好 來往下 |
transcript.whisperx[61].start |
2867.952 |
transcript.whisperx[61].end |
2874.118 |
transcript.whisperx[61].text |
那你這個通常我們是小農喔我們大概1.1公頃大概一甲一甲大概就是呢我夫妻倆或者是我這個一個人到兩個人的作業能力我就可以處理完所以我平常我不可能去請一個外這個移工啊請不起啊但我什麼時候需要對於這小農來講我們是需要他在產收的時候採收的時候我是需要的所以本席是支持你剛才講的 |
transcript.whisperx[62].start |
2893.575 |
transcript.whisperx[62].end |
2923.575 |
transcript.whisperx[62].text |
臺湯 |
transcript.whisperx[63].start |
2923.575 |
transcript.whisperx[63].end |
2938.746 |
transcript.whisperx[63].text |
⋯⋯⋯⋯⋯⋯⋯ |
transcript.whisperx[64].start |
2939.666 |
transcript.whisperx[64].end |
2963.171 |
transcript.whisperx[64].text |
我具體要求第一個請農業部接同訴發部因為訴發部既然是國安主責治安針對農經資訊公司及委外業者利用神鋼農會系統轉放從事非約定的軟體程式安裝進行調查如果這個行為屬實本席要求兩個要處理第一個農經公司撤換外包公司 |
transcript.whisperx[65].start |
2964.091 |
transcript.whisperx[65].end |
2970.637 |
transcript.whisperx[65].text |
第二個避免求援兼裁判農經資訊公司的董事長不應該由農業金庫副總監任為什麼?農經資公司是誰在支持農業金庫?百分百!農業金庫是誰支持?你農業部跟全國的農漁會耶我不相信我全國的農漁會跟我的農業部接受這樣的治安高風險的商業的一個竊取 |
transcript.whisperx[66].start |
2990.394 |
transcript.whisperx[66].end |
3004.748 |
transcript.whisperx[66].text |
這表示你農漁會都接受我如果種農這樣的一個外包公司隨意的進入到我任何一個農會來竊取資料那表示你農業部所有各部門的資料也都可以由外面的所有任何公司來駭客你 |
transcript.whisperx[67].start |
3006.87 |
transcript.whisperx[67].end |
3018.917 |
transcript.whisperx[67].text |
這是何等嚴重所以我要求我這個已經低度喔我還沒有針對農經資公司來做處罰我只說撤換他的外包公司怎麼可以這樣維護怎麼這麼一點這個資訊安全而且因為商業競爭已經叫商業間諜了商業間諜不是本期講的是我們這四個單位告訴我的 |
transcript.whisperx[68].start |
3031.448 |
transcript.whisperx[68].end |
3055.46 |
transcript.whisperx[68].text |
還有求員兼裁辦農經公司你不應該有農業金庫副總來兼任這是我認為應該該有的如果是屬實的話至少本期我也做出我自己該有的調查那你們也應該要做起該有的調查這是你要回應的第二個我農民跟農業機構有關外籍農業移工的部分評估以農業行為來認定或者是租地契約跟台糖一樣就是改為兩年以 |
transcript.whisperx[69].start |
3056.34 |
transcript.whisperx[69].end |
3064.626 |
transcript.whisperx[69].text |
以下呢我就可以兩年了我就可以來聘請外勞什麼叫做農業行為認定譬如說我雖然這樣才兩年啊可是我之前的租約跟一樣這塊土地同樣的租約行為那我已經租了兩年了那我是不是可以合併起來我就達到三年這是一種我沒改你三年但是可以用合併的那另外一種是好我的這個租約就是跟我台堂的這個租約是一樣的或者你就去協調台堂嘛 |
transcript.whisperx[70].start |
3083.518 |
transcript.whisperx[70].end |
3105.171 |
transcript.whisperx[70].text |
第三個這個是您剛才這個有講到的以區域地區農會來申請農業移工提供區域農業勞動力的短期需求請你簡單回應這三個問題治安農業缺工我想非常簡單的回應就是有關於剛才講的這些農經濟公司跟南農還有一些農會之間的關係我想我們會分兩個階段一個階段是先去釐清 |
transcript.whisperx[71].start |
3106.792 |
transcript.whisperx[71].end |
3122.278 |
transcript.whisperx[71].text |
現象是什麼現象是什麼然後必要如果是真正的那個現象如剛才委員所說的這樣的一個惡意的這種竊取的話那一定會去做很非常嚴肅的一個調查那我們必要者也會請那個塑化部來協助那第二個部分 |
transcript.whisperx[72].start |
3122.978 |
transcript.whisperx[72].end |
3144.322 |
transcript.whisperx[72].text |
我想針對農地的部分就是缺工的部分我們也一直在鬆綁那包括您剛才講的那個三年的部分其實現在我們已經有鬆綁了就是只要你拿出續業的部分但是相對的我們會用地的概念從事的行為去處理我想我們會持續的檢討你那三年沒解決你的規定因為你的辦法很清楚就三年台糖是兩年沒關係我沒有意見如果你要堅持就繼續讓大農戶沒有辦法已經外來吧好你們來檢討好謝謝 |
transcript.whisperx[73].start |
3151.343 |
transcript.whisperx[73].end |
3151.363 |
transcript.whisperx[73].text |
蕭麗芸議員 |
transcript.whisperx[74].start |
3177.451 |
transcript.whisperx[74].end |
3189.882 |
transcript.whisperx[74].text |
委員長部長早部長我想首先我們感謝主席拍定這個農業移工的問題那這個問題其實我們過去在委員會裡頭也討論過相當多次部長我讓您看一下 |
transcript.whisperx[75].start |
3191.805 |
transcript.whisperx[75].end |
3215.826 |
transcript.whisperx[75].text |
這個大概是我稍微整理一下我們整個農業移工開放的這些歷程包括說初期的開放事辦是只有800人而且主要是從這個應該是這個飼養畜牧業為大宗然後慢慢的包括這個納入這個農保勞保員工人數他們其實是就可以申請移工的人數一直到現在 |
transcript.whisperx[76].start |
3217.367 |
transcript.whisperx[76].end |
3217.627 |
transcript.whisperx[76].text |
8500多 大概七成 |
transcript.whisperx[77].start |
3234.929 |
transcript.whisperx[77].end |
3259.998 |
transcript.whisperx[77].text |
7層好所以你們預估到今年年底這1.2萬就會全部用到對是的那接下來怎麼辦我想跟委員報告現在我們已經啟動一個機制就是說像現在已經到7層的時候其實我們已經調查現在就是外面需要的大概8000人所以我們不會等到沒有的時候才開始向勞動部申請我們現在就會啟動一個機制去跟勞動部申請所以你們已經開始要跟勞動部談了嗎開始談了沒對 |
transcript.whisperx[78].start |
3262.679 |
transcript.whisperx[78].end |
3270.361 |
transcript.whisperx[78].text |
已經在跟他們做溝通 因為調查大概8000人啊那我們希望說在年底之前能夠銜接 不會說有一個空窗期 |
transcript.whisperx[79].start |
3270.834 |
transcript.whisperx[79].end |
3288.038 |
transcript.whisperx[79].text |
昨天勞動部簽署了跟台灣跟印度的合作的MOU看起來是沒有包含農業移工這一塊我覺得或許可以跟勞動部再談一下部長我要跟您講我們在講農業缺工的問題我現在就只舉我美農農會在申請這些農業移工的現況美農農會因為我們在美農種野蓮的非常多 |
transcript.whisperx[80].start |
3298.82 |
transcript.whisperx[80].end |
3318.093 |
transcript.whisperx[80].text |
所以他一共跟農業部申請了5次總共核准了97人這中間大概有逃逸3個那要給部長看一下現在申請農業移工看起來沒有那麼困難跟複雜但是這個薪資的比例 |
transcript.whisperx[81].start |
3319.354 |
transcript.whisperx[81].end |
3336.365 |
transcript.whisperx[81].text |
我們現在的所有的移工都必須符合台灣的勞基法勞基法它有規定它的工時跟最低的薪資比例這個是現在我們統計出來如果就今年度來看申請一個移工他的薪水大概要付到將近4萬3千塊 |
transcript.whisperx[82].start |
3338.925 |
transcript.whisperx[82].end |
3361.19 |
transcript.whisperx[82].text |
快要比本國的勞工還要高啦我覺得有可能而且還要負擔他的時數那對於野蓮我是講單一個產品野蓮就好野蓮今年的市場拍賣價格其實是不好的所以他請一個移工基本上他快要沒有辦法負擔這個移工的薪水那面對這樣的一個問題 |
transcript.whisperx[83].start |
3363.01 |
transcript.whisperx[83].end |
3391.702 |
transcript.whisperx[83].text |
包括工時很多時候他們你知道農民的工作他不是說從早上9點到下午5點很容易計算工時他常常有可能是必須清晨天沒有亮以前就開始工作中間像現在太陽這麼大他其實是沒有辦法工作的到下午5、6點太陽下山了又再持續他的下一個階段的工作所以他的工時計算也會產生問題那如果是這樣的話農業部跟勞動部之間有沒有想出一個 |
transcript.whisperx[84].start |
3399.508 |
transcript.whisperx[84].end |
3417.063 |
transcript.whisperx[84].text |
對農民來講是一個很沉重的負擔他要申請外勞也不是不申請也不是好那這個外勞來呢很多時候比如說像野蓮的我們還要必須跟他講這個是要泡在水裡一整天所以美農逃跑的那三個基本上是因為無法適應所以逃跑 |
transcript.whisperx[85].start |
3418.362 |
transcript.whisperx[85].end |
3427.429 |
transcript.whisperx[85].text |
今年年底我們有訓練所謂的御荷包採收御荷包的人所以你的農業移工來到台灣要搭配什麼樣的 |
transcript.whisperx[86].start |
3428.729 |
transcript.whisperx[86].end |
3458.729 |
transcript.whisperx[86].text |
⋯⋯⋯ |
transcript.whisperx[87].start |
3459.73 |
transcript.whisperx[87].end |
3484.364 |
transcript.whisperx[87].text |
中南部有非常多的外配那如果我們能夠讓這一些外配的親人來到台灣依親打工我不知道我過去提出這樣的一個政策想法的時候農業部有沒有思考過那我的了解過去是被勞動部打槍但是其實我們剛剛講到了這一些農業的問題 |
transcript.whisperx[88].start |
3486.085 |
transcript.whisperx[88].end |
3494.59 |
transcript.whisperx[88].text |
新資甚至我想外配如果他們的親人能夠來到台灣依親打工對於新資的給付 |
transcript.whisperx[89].start |
3495.638 |
transcript.whisperx[89].end |
3516.52 |
transcript.whisperx[89].text |
是一個負擔會大幅減輕更重要的是這個外配在他的家庭裡頭他的家人來協助他的嫁過來的這個家庭來做這樣農事的工作其實相對來講他在這個家庭的地位是會大幅提高然後也能夠完整的協助這些農事作業部長您怎麼看 |
transcript.whisperx[90].start |
3517 |
transcript.whisperx[90].end |
3545.775 |
transcript.whisperx[90].text |
我提出來的這樣的一個建立方式謝謝委員的這些關心那我想幾個問題就是彈性工時的部分其實農業部現在是符合勞基法的四周所以他已經不受限在那個週休二日還有就朝九晚五的這樣的一個規範他是可以在四周裡面去做一個彈性的調整我想這個部分我想勞動部這邊已經把農業部納入了那第二個部分薪資的部分的確就是委員所說的他的薪資水平快要跟本國的一樣高了 |
transcript.whisperx[91].start |
3546.215 |
transcript.whisperx[91].end |
3548.276 |
transcript.whisperx[91].text |
現在目前能夠透過這種所謂的強化這種外展的的機能能夠跨區也好來做一個協助 |
transcript.whisperx[92].start |
3564.744 |
transcript.whisperx[92].end |
3584.321 |
transcript.whisperx[92].text |
所以跟部長你要知道我們現在透過所謂外長功能你要讓農會大部分的農會都不會願意做這樣的配合因為他要負擔的這些安全成本其實是遠高過你的想像對另外還有一個就是說如果說本身如果能夠結合我們現在在努力去調整10人以上的這個農場的合配比 |
transcript.whisperx[93].start |
3586.002 |
transcript.whisperx[93].end |
3607.064 |
transcript.whisperx[93].text |
你如果說有一個類似合作共同經營的這樣模式的話大家分擔這樣一個人力可能它的效率會比較高所以這個部分我想我們也會來努力您講的這個都是現在已經在做包括農場10人以上的這個農場合作社等等他們能夠來申請這些外在移工不過它的合配比不行這是3比1 |
transcript.whisperx[94].start |
3608.095 |
transcript.whisperx[94].end |
3633.21 |
transcript.whisperx[94].text |
對嘛,所以他其實還是少的嘛好,如果能夠變成1比1那當然這是一個得證啦但我講的這個所謂的一清打工這件事情我覺得這個其實真的是可以認真的思考啦我想一清打工以農業部來講是非常贊成那我們也跟勞動部溝通了非常久那基本上現在的問題是卡在勞動部說這樣的一個意見還是照原來的遊戲規則走啦 |
transcript.whisperx[95].start |
3634.71 |
transcript.whisperx[95].end |
3646.336 |
transcript.whisperx[95].text |
那用現在的遊戲規則去走而且是在我們的總配額裡面去扣那我覺得這樣的話反而沒有幫助你是說照我們原來申請外產移工的總配額下去扣我是覺得勞動部這個思維太過僵化了我認為應該帶著他們實際到 |
transcript.whisperx[96].start |
3657.022 |
transcript.whisperx[96].end |
3678.78 |
transcript.whisperx[96].text |
﹗ |
transcript.whisperx[97].start |
3678.8 |
transcript.whisperx[97].end |
3679.48 |
transcript.whisperx[97].text |
接下來我們請黃國昌委員請做巡討 |
transcript.whisperx[98].start |
3708.412 |
transcript.whisperx[98].end |
3734.754 |
transcript.whisperx[98].text |
謝謝主席,是不是麻煩有請部長我們再請陳部長喂吼部長好上一次你們說昌市的案子回函說已經移送北捷了請問什麼時候移送我都沒有記出來是五月底六月初的時候五月底六月初的時候我記得我都沒有記出來請這調查報告什麼時候做出來的 |
transcript.whisperx[99].start |
3735.495 |
transcript.whisperx[99].end |
3763.905 |
transcript.whisperx[99].text |
行政調查報告的過程大概在五月五月初五月大概是四月還是五月我們在調查因為沒有關係什麼時候做好的沒有最後的定版大概在五月的七應該是七號前後啦所以你們有一個定版的完整行政調查報告嗎對就是說完整的行政調查報告什麼時候可以交出來對不起我沒有聽清楚 |
transcript.whisperx[100].start |
3764.95 |
transcript.whisperx[100].end |
3791.144 |
transcript.whisperx[100].text |
剛剛你不是說到5月的時候有一個定版的行政調查報告嗎?那份行政調查報告什麼時候可以交出來?我想我們提供給委員的就是行政調查報告但是因為部分的這些資訊我們已經已檢地檢署的時候地檢調查的時候我們把時序先講清楚啦你行政調查報告完整做完了以後然後你接下來移送北檢現在交出來的行政調查報告是只有部分的內容對不對?是 |
transcript.whisperx[101].start |
3792.768 |
transcript.whisperx[101].end |
3821.841 |
transcript.whisperx[101].text |
為什麼不提供完整的行政調查報告你說會涉及到偵查不公開嗎來我秀給你看當初在處理八八會館事件的時候一樣有刑事偵辦我們的高檢署新北地檢署內政部警政署完整的行政調查報告全部都交出來為什麼農業部的做法不一樣難道我們的高檢署地檢署我們農業政部所交出來的行政調查報告都是違法的 |
transcript.whisperx[102].start |
3823.066 |
transcript.whisperx[102].end |
3838.095 |
transcript.whisperx[102].text |
你還是堅持不交就對了嗎?我跟委員報告齁,別的部位我不清楚齁但是在相關的這些我們今天調查報告裡面有涉及到已經移交給地檢署的部分那這個部分我們是根據政府公開自檢法裡面的相關的規定去做一個處理的 |
transcript.whisperx[103].start |
3838.9 |
transcript.whisperx[103].end |
3865.112 |
transcript.whisperx[103].text |
沒關係啊你有你的主張啊你的主張站不站得住腳我們以後會繼續追下去今天時間的關係我還有很多問題要問你們的次長跟媒體說日本進口的雞蛋沒有行政的問題結果話才講一天你們就公開承認了裡面最起碼就有關於倉儲的部分運輸的部分違反政府採購法對不對 |
transcript.whisperx[104].start |
3868.018 |
transcript.whisperx[104].end |
3869.279 |
transcript.whisperx[104].text |
針對2022年超市進口雞蛋,超市的服務費付了多少錢? |
transcript.whisperx[105].start |
3885.288 |
transcript.whisperx[105].end |
3885.609 |
transcript.whisperx[105].text |
道貨買斷的價格怎麼計算? |
transcript.whisperx[106].start |
3901.328 |
transcript.whisperx[106].end |
3916.184 |
transcript.whisperx[106].text |
那到貨買完的價格根據市長會的一個說明是他根據因為他是每個月都有的時候他會根據當月的日本的相關的這些資訊跟我們國內相關的這些資訊包括他的關稅等去做一個綜合評估 |
transcript.whisperx[107].start |
3917.085 |
transcript.whisperx[107].end |
3940.124 |
transcript.whisperx[107].text |
怎麼評估的數據可不可以交出來我想這個部分是一個相關的一個執行細節他那個評估沒有關係啦你現在講嘛沒有付超私沒有付超私任何服務費那我現在的問題就在想說原來超私是在做功德的那個價格裡面啊從超私日本進來一公斤均價多少錢 |
transcript.whisperx[108].start |
3942.81 |
transcript.whisperx[108].end |
3955.085 |
transcript.whisperx[108].text |
一公斤軍價多少錢我不是非常清楚來你計算完了以後一公斤的軍價大概一百二十四塊一百二十四塊這個錢到底怎麼出來的成本結構 細項可不可以交出來 |
transcript.whisperx[109].start |
3956.51 |
transcript.whisperx[109].end |
3976.106 |
transcript.whisperx[109].text |
我不是非常清楚說這樣子一個最後的價格的一個細項 因為他們本身是買斷的方式 那買斷的方式他們的經費是有一個... 你看嘛 你們列出來的淨重多少 發票的價格多少 除完了大概就一公斤多少錢嘛 你現在裡面講說沒有服務費嘛 |
transcript.whisperx[110].start |
3978.549 |
transcript.whisperx[110].end |
3986.487 |
transcript.whisperx[110].text |
現在我就在質疑啊現在大家在問的是這個超市的利潤在裡面一公斤124塊超市拿了多少錢嘛 |
transcript.whisperx[111].start |
3988.137 |
transcript.whisperx[111].end |
3990.278 |
transcript.whisperx[111].text |
大家在關心的事情是那個價格到底怎麼決定的嘛 |
transcript.whisperx[112].start |
4009.17 |
transcript.whisperx[112].end |
4014.313 |
transcript.whisperx[112].text |
你到現在我跟你說你說沒有服務費沒有關係阿那你總要有一個決定價格的機制吧有一個機制我想這個機制是可以提供的我所瞭解 |
transcript.whisperx[113].start |
4031.583 |
transcript.whisperx[113].end |
4038.287 |
transcript.whisperx[113].text |
決定的機制是可以提供,一定有一個決定的機制,但是決定的細節需要多久?需要多久?一個禮拜可以吧?錢早就付了吧?因為你一開始口口聲聲跟大家講說只有超輸有能力進口嘛 |
transcript.whisperx[114].start |
4054.02 |
transcript.whisperx[114].end |
4061.183 |
transcript.whisperx[114].text |
這個是你當初在回答的時候答覆的內容嘛我記得我沒有說只有超私才有能力進口今天沒這樣說來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來來 |
transcript.whisperx[115].start |
4083.666 |
transcript.whisperx[115].end |
4088.132 |
transcript.whisperx[115].text |
是你們回答給我白紙黑字的欸來我們來看一下喔這個是關務署調出來的資料 |
transcript.whisperx[116].start |
4092.52 |
transcript.whisperx[116].end |
4092.68 |
transcript.whisperx[116].text |
是吧? |
transcript.whisperx[117].start |
4092.68 |
transcript.whisperx[117].end |
4092.7 |
transcript.whisperx[117].text |
是 |
transcript.whisperx[118].start |
4120.123 |
transcript.whisperx[118].end |
4140.061 |
transcript.whisperx[118].text |
奇怪,那亮彩後面進來的這些蛋到哪裡去了?是給中央續產會嗎?我跟委員說明齁亮彩的部分是他的合約是2到4月那4月以後的所有的買蛋不管是任何貿易商進來的都是用貨到付款的方式這個非常清楚啊對,所以我現在還是在問你嘛當初你跟大家講的 |
transcript.whisperx[119].start |
4141.348 |
transcript.whisperx[119].end |
4151.235 |
transcript.whisperx[119].text |
是只有昌司有意願嘛但我從關務署調出來的看從這個B廠商進口的數量我合理判斷啊這個B廠商這個B廠商是我們來看一下具體的數量嘛我最後因為主席站起來了我只問一個最關鍵的問題 |
transcript.whisperx[120].start |
4167.099 |
transcript.whisperx[120].end |
4168.7 |
transcript.whisperx[120].text |
對阿 到目前為止 你說每一筆都可以提供 來來來 |
transcript.whisperx[121].start |
4194.485 |
transcript.whisperx[121].end |
4221.014 |
transcript.whisperx[121].text |
我給部長看我從6月14日所知的東西到現在沒回覆我的辦公室幾乎是打電話每天去求農業部的什麼時候可以回覆永遠的答案都是還在簽和還在簽和還在簽和今天部長說可以提供非常的好請問部長需要多久不要讓我辦公室的同仁每天打電話去拜託你們的國會聯絡人要一個資料我好像在乞討一樣 |
transcript.whisperx[122].start |
4222.868 |
transcript.whisperx[122].end |
4236.73 |
transcript.whisperx[122].text |
需要多久我跟委員說明齁就是每一筆我們付款的資料的日期應該都已經很清楚的這個表但應該都有我剛剛的問題是由超司取得輸入許可我跟你們調 |
transcript.whisperx[123].start |
4238.103 |
transcript.whisperx[123].end |
4257.208 |
transcript.whisperx[123].text |
你們檢驗所的輸入許可局裡面的人說好了但是在部裡面簽合現在公文流量到哪裡我不知道我今天請教我非常卑微的要求你非常卑微的請求你這個數字什麼時候可以提供我想我不敢因為我非常尊重立法委員 |
transcript.whisperx[124].start |
4258.648 |
transcript.whisperx[124].end |
4260.09 |
transcript.whisperx[124].text |
所以這個什麼時候可以提供?什麼時候可以提供?什麼時候可以提供?來來來,那個部長,因為時間後面委員都在等待,那部長 |
transcript.whisperx[125].start |
4281.591 |
transcript.whisperx[125].end |
4294.376 |
transcript.whisperx[125].text |
是不是就剛剛黃國昌委員所需要的資料你就在一個禮拜之內提供給黃國昌委員我想我們要先聽一下我們所知的內容所知的內容很簡單啊 |
transcript.whisperx[126].start |
4295.836 |
transcript.whisperx[126].end |
4303.281 |
transcript.whisperx[126].text |
因為我們是買斷的我們是針對誰給我們的是要輸入許可我看輸入許可上面的名義是誰就知道了嗎這個你已經說過了請你回到問題的本身輸入許可可不可以移工輸入許可是誰發的 |
transcript.whisperx[127].start |
4326.041 |
transcript.whisperx[127].end |
4350.459 |
transcript.whisperx[127].text |
公務署發的嗎?還是誰發的?不是啦!雞蛋輸入檢疫的許可是你們農業部發的欸檢疫的許可是我們可不可以提供?檢疫的部分是應該如果是有的話我們就應該可以提供可以提供需要多久?因為我到目前為止所知到現在要不到嘛需要多久?這個也需要一個禮拜我早就發公文去要了欸 |
transcript.whisperx[128].start |
4352.438 |
transcript.whisperx[128].end |
4352.919 |
transcript.whisperx[128].text |
所以我剛剛沒有講錯嘛我早就要了嘛 |
transcript.whisperx[129].start |
4359.687 |
transcript.whisperx[129].end |
4388.491 |
transcript.whisperx[129].text |
你公文還在履行嗎?需要多久?我們還是針對問題那請農業部剛剛委員所提出他有兩項兩項要的資料不只啦我剛剛只是藉由那個巡檔剛剛那個所知的部分公文他們那邊都有啦我要的資訊一項一項一項一項我寫得非常的清楚全部在後面我量給召委看這個是6月14日就要所知的內容這個是6月19日就要所知的內容 |
transcript.whisperx[130].start |
4390.841 |
transcript.whisperx[130].end |
4402.39 |
transcript.whisperx[130].text |
包括你剛剛答應的輸入許可那件簡易的輸入許可那件事情需要多久?三天之內給好不好?他如果出來三天之內一定可以給三天之內可以給嗎?簡易證的部分嗎? |
transcript.whisperx[131].start |
4404.714 |
transcript.whisperx[131].end |
4428.961 |
transcript.whisperx[131].text |
檢疫症的部分嗎?前面所知的部分一併三天之內給可以嗎?如果我問的問題你說我不知道我沒有資訊這是機密那你就這樣回覆就好了嗎?所知剛剛最後一點就三天內回覆給黃委員其他的部分請一個禮拜之內務必要給黃委員好不好因為他已經從6月14 19已經陸續要給你們這個請 |
transcript.whisperx[132].start |
4434.242 |
transcript.whisperx[132].end |
4434.262 |
transcript.whisperx[132].text |
好 謝謝 |
transcript.whisperx[133].start |
4456.232 |
transcript.whisperx[133].end |
4466.197 |
transcript.whisperx[133].text |
我們請農業部照剛剛所說約定的時間請把資料送出 謝謝接下來我們請鄭正賢委員請做詢答謝謝主席我想請一下陳部長還有我們勞動部陳祖密好我們請兩位 謝謝 |
transcript.whisperx[134].start |
4488.162 |
transcript.whisperx[134].end |
4512.111 |
transcript.whisperx[134].text |
部長好 說實話 措施蛋的事情能夠扯這麼久 我們也真的是服了農業部 就是一個很簡單的一個蛋的缺蛋 然後要進口把它補足的問題竟然可以扯這麼久 然後也讓這個整個國會改革的合理化更具正當性 那國會改革本來就是應該的 可是從這過程當中我們看到了其實 |
transcript.whisperx[135].start |
4513.792 |
transcript.whisperx[135].end |
4535.463 |
transcript.whisperx[135].text |
光要讓行政部門的黑箱打開來是多麼的不容易所以我在想說立法院要有調查權這部分是很重要的不過因為我們今天最主要要講說農業的移工政策改善措施這個部分所以我在這邊也針對整個農業移工的部分來就教於部長跟我們勞動部的主密 |
transcript.whisperx[136].start |
4536.844 |
transcript.whisperx[136].end |
4565.862 |
transcript.whisperx[136].text |
我想請教一下因為那個整個移工的部分逃跑移工的部分真的是問題很嚴重到今年的2月為止的數字都超過8萬5千人我想說勞動部這邊應該資料是很清楚的然後我發現每次碰到逃跑移工的時候勞動部這邊的說法都是直接表示說會你修法重罰非法雇主非法仲介可是每次都這樣用 |
transcript.whisperx[137].start |
4566.902 |
transcript.whisperx[137].end |
4585.527 |
transcript.whisperx[137].text |
四月份的時候碰到這個問題的時候我看到新聞資料當中你們也還是這樣講可是過去這麼多年每次勞動部都是這樣回應可是說提修法然後都沒有提那你們在四月份這邊的時候你們也特別提到今年 |
transcript.whisperx[138].start |
4587.568 |
transcript.whisperx[138].end |
4596.644 |
transcript.whisperx[138].text |
6月份的時候會開始處罰然後也打算要再提修法的部分請問這個部分大概什麼時候會正式送到我們立法院來? |
transcript.whisperx[139].start |
4600.613 |
transcript.whisperx[139].end |
4623.519 |
transcript.whisperx[139].text |
謝謝委員的一個吹詢這個部分之前我們在針對就業服務法要重罰非法僱用跟非法媒介這個部分呢原來的政策方向一直是如此政策方向如此可是很多年據本席瞭解108年不是送進行政院可是怎麼都沒有送到立法院來呢因為在不同的這個 |
transcript.whisperx[140].start |
4624.859 |
transcript.whisperx[140].end |
4625.72 |
transcript.whisperx[140].text |
所以何部長現在是要送還是不送? |
transcript.whisperx[141].start |
4650.783 |
transcript.whisperx[141].end |
4669.04 |
transcript.whisperx[141].text |
目前我們在整個法案已經重新政院申請要撤回來重新再研議當中撤回來要再重新研議是回到後續進度怎麼樣給本席一個很清楚的一個說明那因為我們很希望說如果說要怎麼樣去做能夠解決整個臺灣的一個移工 |
transcript.whisperx[142].start |
4670.069 |
transcript.whisperx[142].end |
4670.529 |
transcript.whisperx[142].text |
謝謝主秘在整個的那個我國產業 |
transcript.whisperx[143].start |
4691.624 |
transcript.whisperx[143].end |
4715.736 |
transcript.whisperx[143].text |
在缺工的狀態當中最嚴重的三個部分大概就是農業啦然後營造業跟長照我想這部分應該是很清楚的一個狀態那我們今天就針對農業缺工的部分來就教一下陳部長因為我看到我們的報告資料裡頭下一頁先看下一頁我看下一頁的資料裡面 |
transcript.whisperx[144].start |
4717.878 |
transcript.whisperx[144].end |
4743.595 |
transcript.whisperx[144].text |
右邊是你的那個農業部的一個報告就是農業移工政策改善措施的書面報告裡面你提到說我們其實目前開放農業移工是1.2萬人是很清楚然後勞動部核發出來的聘僱許可人數到目前為止是8505人很清楚對不對是然後你也特別提到說我們今年年底預計1.2萬人會用慶對不對是 |
transcript.whisperx[145].start |
4746.997 |
transcript.whisperx[145].end |
4757.472 |
transcript.whisperx[145].text |
所以這1.2萬人提到了就是我們常態性的缺工是1.2萬人可是我們季節性的缺工是20萬人次 對不對 |
transcript.whisperx[146].start |
4758.995 |
transcript.whisperx[146].end |
4785.158 |
transcript.whisperx[146].text |
對 這個就全部包括在一起的 理解 那我全部包括在一起是什麼意思 1.2萬人裡面 有一部分是做季節性的 有一部分是做常態的 理解 所以我這邊有整個列出來喔 就是季節性就是外展農務的部分嘛 外展農務的部分 2472人對 我知道 所以說我要提的狀態說 我們提的人次的部分是怎麼去定義人次的問題 20萬人次 |
transcript.whisperx[147].start |
4788.584 |
transcript.whisperx[147].end |
4813.581 |
transcript.whisperx[147].text |
人次是怎麼去定義這個人次的問題我們那個人次是從主力農家裡面去抽樣以後然後去詢問他這一戶如果有缺工的需求我們就把它當作戶數去計算那有一部分是他可能是缺幾個人有沒有我們就會去算人次的次的概念不是用一天來算對不對 |
transcript.whisperx[148].start |
4814.321 |
transcript.whisperx[148].end |
4816.543 |
transcript.whisperx[148].text |
所以我們現在已經啟動了一些調查調查的結果大概還需要8000人在這個階段還需要8000人 |
transcript.whisperx[149].start |
4841.442 |
transcript.whisperx[149].end |
4856.684 |
transcript.whisperx[149].text |
所以我們現在已經啟動了就是要跟勞動部去爭取這樣的一個8千人另外8千人嘛對不對所以我們希望說最後增加到2萬因為爭取還有一段時間我們希望能夠銜接到年底的時候用完的時候他就可以用8千人來處理 |
transcript.whisperx[150].start |
4857.445 |
transcript.whisperx[150].end |
4873.918 |
transcript.whisperx[150].text |
謝謝部長我這邊我要特別提到一個有關於外展農務的部分因為外展農務這邊的時候他就是很針對季節性的一個去支援對不對那我們看到目前這邊的時候呢你們提出來的數字是 |
transcript.whisperx[151].start |
4874.899 |
transcript.whisperx[151].end |
4893.649 |
transcript.whisperx[151].text |
拜訪人數是3000人可是我看到另外一個統計數字的時候是稍高一點可是人數是一樣的可是我要提的情況是說我們對於外展農務當中的時候目前還沒有滿額有一個很大的問題就是因為他們有季節性所以他們會有農閒的時候那農閒的時候要怎麼去補助 |
transcript.whisperx[152].start |
4894.249 |
transcript.whisperx[152].end |
4894.769 |
transcript.whisperx[152].text |
我跟委員 |
transcript.whisperx[153].start |
4913.056 |
transcript.whisperx[153].end |
4938.664 |
transcript.whisperx[153].text |
報告分兩個部分一個部分就是說有時候農閒的時候因為原來的外展服務是不能跨區的所以當這個區域閒的時候它就比較麻煩所以我們現在推動可以跨區服務因為一個東西收穫的時候它可以跟著一直走所以它幾乎每天都有一樣的所以現在開放到可以跨區那有沒有可能可以跨業比跨業的部分我們曾經努力過但是不同的行業它有勞動契約 |
transcript.whisperx[154].start |
4939.804 |
transcript.whisperx[154].end |
4954.301 |
transcript.whisperx[154].text |
就非技術性的工作有沒有辦法去跨業支持因為有一些公司他週休二日我們都希望說週休二日可以來農業但是相對的他說農業很忙結果禮拜一就打瞌睡了 |
transcript.whisperx[155].start |
4954.761 |
transcript.whisperx[155].end |
4966.512 |
transcript.whisperx[155].text |
所以他牽涉到不同產業的特性因為我覺得這部分我會提到一個跨業的一個支援的部分其實就是要解決就是外在農務這邊的時候他會有季節性農閒問題所以也請這邊的時候跟農業部跟相關的跟勞動部相關的單位我們去做一個跨部會的一個協調對我們會來討論 |
transcript.whisperx[156].start |
4975.481 |
transcript.whisperx[156].end |
4997.644 |
transcript.whisperx[156].text |
接下來我要講的狀態是我們看到所有經察院這邊一個資料齁經察院這邊提出來資料當中的時候我們看到移工失聯率齁農業的體系就是比例最高的那這個數字齁因為它是112年的目前大概11.92%左右你說農業的部分是不是對農業的部分 |
transcript.whisperx[157].start |
4998.625 |
transcript.whisperx[157].end |
5018.424 |
transcript.whisperx[157].text |
所以你要特別提到說 農業部分現在並沒有比整個一般的數字來得高 是一樣高的 對不對 我們8萬5千人跟74萬個移工來說 算起來也大概是11%左右對 11% 因為現在目前整個 整個失聯的大概3千人左右 大概有沒有 總共啦 移工的部分有4 將近500人 所以他11%左右啦 |
transcript.whisperx[158].start |
5021.587 |
transcript.whisperx[158].end |
5034.258 |
transcript.whisperx[158].text |
所以你說現在監察院提供的數字是比較舊的數字你現在最新的數字的時候農業的移工系統的比例在11%左右對不對那這個部分我就再請部長這邊再給我們更詳細的一個數字那我這邊我要提到一個狀態是現在很多 |
transcript.whisperx[159].start |
5044.966 |
transcript.whisperx[159].end |
5060.253 |
transcript.whisperx[159].text |
我提到一個狀態是因為現在很多其他產業的移工就黑工的狀態很多都集中在農業部門那在很多的茶園、果園裡面據說基本上都是逃跑的外勞 |
transcript.whisperx[160].start |
5062.294 |
transcript.whisperx[160].end |
5086.317 |
transcript.whisperx[160].text |
我希望農業部這邊的時候能夠想一個更完整的方式不要讓農業體系因為缺工太嚴重去容納了很多其他產業的一個逃跑外勞然後導致我們的社會當中出現另外一個不安定的狀態好不好?農業缺工情況我們很理解可是我們希望農業不要變成逃跑外勞集中的大本營 |
transcript.whisperx[161].start |
5086.917 |
transcript.whisperx[161].end |
5114.505 |
transcript.whisperx[161].text |
了解,我們會努力的想辦法降低這樣一個現象OK,謝謝好,謝謝接下來我們請鄭天才委員請做詢問主席、各位委員,來請部長我們再請陳部長 |
transcript.whisperx[162].start |
5123.562 |
transcript.whisperx[162].end |
5142.336 |
transcript.whisperx[162].text |
部長很早辛苦了今天的主題非常重要從你們的報告裡面近5年農林移木就業人口遞減這是一個事實112年我國農林移木就業人口50.9萬人 |
transcript.whisperx[163].start |
5148.74 |
transcript.whisperx[163].end |
5177.215 |
transcript.whisperx[163].text |
比111年減少2.1萬如果跟108年來比的話更是減少了5萬人真的是一個非常嚴重的數字這個顯示農業人口而且從年齡層來講這個都是高齡者中高齡者而且不斷的會成高齡化這是事實其他的勞工也是一樣當然跟我們的 |
transcript.whisperx[164].start |
5179.236 |
transcript.whisperx[164].end |
5201.203 |
transcript.whisperx[164].text |
臺灣的這個人口結構也有關係第一個是大家年齡增加了然後又是因為很嚴重的這個少子女化都是一個面臨的一個問題所以從這個圖表裡面你可以看得非常非常的清楚那這個整個 |
transcript.whisperx[165].start |
5203.995 |
transcript.whisperx[165].end |
5219.842 |
transcript.whisperx[165].text |
從106到111如果我們從這個近5年常顧及臨時員工短缺的情形來看就可以從你們的報告裡面可以怎麼樣去了解實際的一個狀況那這個整個到113年5月底 |
transcript.whisperx[166].start |
5228.567 |
transcript.whisperx[166].end |
5257.985 |
transcript.whisperx[166].text |
根據勞動部的報告在台農業移工7529名從事農林移牧及養殖移業工作最多現在在台灣除了我們的農業的部分其實其他的一般的勞工製造業營造業各方面也都切 |
transcript.whisperx[167].start |
5259.304 |
transcript.whisperx[167].end |
5266.62 |
transcript.whisperx[167].text |
所以這個部長啊,你們在這個行政院到底有沒有跨部會的討論過這方面的問題? |
transcript.whisperx[168].start |
5269.482 |
transcript.whisperx[168].end |
5269.622 |
transcript.whisperx[168].text |
這個我在 |
transcript.whisperx[169].start |
5296.711 |
transcript.whisperx[169].end |
5321.836 |
transcript.whisperx[169].text |
應該是上上一屆第9屆現在是第11屆其實我在第9屆的時候就建議建議行政院應該要成立一個少子擬化辦公室但是他們不理不睬完全沒有因為這是臺灣很重要的問題現在不是只有農林螢幕跟一般營造各方面的勞工未來 |
transcript.whisperx[170].start |
5323.686 |
transcript.whisperx[170].end |
5348.058 |
transcript.whisperx[170].text |
未來我們的軍人也是以後都要外籍軍人了現在願意去當兵的越來越少那薪水又很低所以這個部分這是一個非常嚴重的問題我就不知道為什麼這個行政院一直不成立這個少子女化辦公室的一個推動怎麼樣去解決這方面的問題 |
transcript.whisperx[171].start |
5349.31 |
transcript.whisperx[171].end |
5366.777 |
transcript.whisperx[171].text |
所以這個當然很多責任都是在衛福部跟行政院這個部分這個是一個很嚴肅很重大的一個問題所以這裡也很難跟你要求這是我們農民的一個問題這個是要去解決的部分好我接下來這個還是要談 |
transcript.whisperx[172].start |
5379.619 |
transcript.whisperx[172].end |
5394.035 |
transcript.whisperx[172].text |
我第一次談超市淡超市進口淡當這個事件發生的時候真的是不可不可思議了作為一個以前叫農委會 |
transcript.whisperx[173].start |
5395.672 |
transcript.whisperx[173].end |
5422.649 |
transcript.whisperx[173].text |
農委會依照稀木法第25條成立財團法人中央續產會然後進口這個農業部要補助你要補助補助都說要審核啊一億七千多萬補助要審核啊我這個外行的想也知道 |
transcript.whisperx[174].start |
5424.226 |
transcript.whisperx[174].end |
5436.213 |
transcript.whisperx[174].text |
一個超市這麼小的資本額然後他要進口他哪知道巴西有蛋啊部長巴西進口多少蛋 |
transcript.whisperx[175].start |
5439.15 |
transcript.whisperx[175].end |
5454.044 |
transcript.whisperx[175].text |
應該是五千多萬顆因為總計是一億五千多萬顆那巴西的部分巴西多遠?巴西離台灣多遠?多遠啊?那個槓桿是不是沒辦法保存嗎?一定是壞蛋嘛! |
transcript.whisperx[176].start |
5454.775 |
transcript.whisperx[176].end |
5456.776 |
transcript.whisperx[176].text |
事實上部長不要替他們說話,我不要讓你牽扯 |
transcript.whisperx[177].start |
5474.343 |
transcript.whisperx[177].end |
5496.895 |
transcript.whisperx[177].text |
你沒有實際調查,你又不寫調查報告,你又拿不到他很正確的,按照你們的說明啊,我都看啊,你們的說明,說你們也沒有調查前,你們去調查,所以不要...沒有,我是針對蛋的部分。沒有,到底他那個船到底有沒有完成,那個設備是不是都很完整? |
transcript.whisperx[178].start |
5498.395 |
transcript.whisperx[178].end |
5525.323 |
transcript.whisperx[178].text |
我是懷疑啊這麼短的時間最主要他怎麼知道巴西有蛋啊對不對絕對是都全部從中央市場會我不講說你們農業部有怎麼樣過節啊從中央市場會到外交部到什麼什麼什麼全部是一團一條鏈啊不然他怎麼知道誰知道巴西有蛋啊 |
transcript.whisperx[179].start |
5529.157 |
transcript.whisperx[179].end |
5550.148 |
transcript.whisperx[179].text |
巴西是全世界供應雞蛋的一個大宗國家至少你一定要搶便嗎?那就把調查報告給我不是不是我現在講的就是巴西本身的蛋因為巴西的國家是出口蛋現在你又不好好調查你又說你沒有無錢調查他是依矽目法 |
transcript.whisperx[180].start |
5553.217 |
transcript.whisperx[180].end |
5573.711 |
transcript.whisperx[180].text |
主管機關是你農業部,然後你建築成立的經費都是你的,相關的這些制度都在,你當然有調查權啊,怎麼會沒有呢?對不對? |
transcript.whisperx[181].start |
5574.977 |
transcript.whisperx[181].end |
5602.297 |
transcript.whisperx[181].text |
好 這個是要調查 你說你沒有調查錢就交給不是 我要跟委員澄清一件事情就是說我們在行政調查的部分我們針對續展會都有做內部的調查 這沒問題我們說我們本身行政權沒有辦法去觸及的就是因為有些委員認為就是說貿易商之間的貿易的關係到底是什麼樣的關係那他們基本上是司法人的關係那以農業部的部分是沒有辦法直接觸及的所以 |
transcript.whisperx[182].start |
5603.678 |
transcript.whisperx[182].end |
5605.401 |
transcript.whisperx[182].text |
你們已經有調查的就認為你們的職權範圍內對是在我們的職權範圍內我們會調查的 |
transcript.whisperx[183].start |
5617.875 |
transcript.whisperx[183].end |
5620.717 |
transcript.whisperx[183].text |
最後財團法人法制定之後你們這些就要配合修正了 |
transcript.whisperx[184].start |
5645.526 |
transcript.whisperx[184].end |
5645.546 |
transcript.whisperx[184].text |
好 謝謝 |
transcript.whisperx[185].start |
5681.946 |
transcript.whisperx[185].end |
5690.637 |
transcript.whisperx[185].text |
接下來我們請楊瓊英召委諮詢主席楊瓊英發言 邀請部長請部長 |
transcript.whisperx[186].start |
5697.11 |
transcript.whisperx[186].end |
5717.715 |
transcript.whisperx[186].text |
副部長,我們今天討論農業界的缺工我記得在107年開始我們努力的把這個問題檯面化終於在108年以事辦的方式800人率先DP執行到現在我們所統計出來 |
transcript.whisperx[187].start |
5719.675 |
transcript.whisperx[187].end |
5746.304 |
transcript.whisperx[187].text |
顯性的:引信還不說顯性的大概我們需要的這一些移工的缺口應該會有將近兩萬人那目前當然第二階段一萬兩千人執行到現在大約有七成左右進來 對不對對大概七成嘛那在這樣的情況之下我們在當地地方還是 |
transcript.whisperx[188].start |
5747.568 |
transcript.whisperx[188].end |
5747.588 |
transcript.whisperx[188].text |
拜訪 |
transcript.whisperx[189].start |
5777.848 |
transcript.whisperx[189].end |
5781.473 |
transcript.whisperx[189].text |
我們務必要把它解決那也聽到剛剛部長您說的我們現在一萬兩千人用了七成那我們還要盤點了八千人所以這些你現在跟的對接介面因為到今年要到了那怎麼辦呢請說明 |
transcript.whisperx[190].start |
5798.517 |
transcript.whisperx[190].end |
5820.57 |
transcript.whisperx[190].text |
我想我們現在目前就是為了防止說年底以後就斷了一段的時間,所以我們排了8000人,8000人分為農林渝蓄這個部分因為我們負責過來,然後現在就積極的跟勞動部去爭取,去說服他其實勞動的缺工是必要的,來做一個補充 |
transcript.whisperx[191].start |
5821.01 |
transcript.whisperx[191].end |
5838.216 |
transcript.whisperx[191].text |
我們當你的後盾阿你有信心一定要爭取到嘛對不對我想勞動部也非常支持農業部的一個提案他們也非常重視阿我們要的是結果再到年底這個界面一定要對接成功繼續加油我們有信心那我們有信心我就給你獎勵鼓勵 |
transcript.whisperx[192].start |
5840.537 |
transcript.whisperx[192].end |
5860.425 |
transcript.whisperx[192].text |
接下來我們要討論的我們在基層因為我們的這個農業的技術訊息萬變而且行業別也訊息萬變原因裡頭比如說我們的多肉植物現在是很多人不管辦公室大家都非常喜歡這個創造了很多的產值對不對對 |
transcript.whisperx[193].start |
5862.346 |
transcript.whisperx[193].end |
5890.196 |
transcript.whisperx[193].text |
對 |
transcript.whisperx[194].start |
5890.556 |
transcript.whisperx[194].end |
5907.943 |
transcript.whisperx[194].text |
但是目前草皮的類別還沒有辦法加入這個行業怎麼辦我跟委員報告特別是我們針對一些新興的這些比較需要的像草皮像一些菇色這些更需要的上一次本席在跟你討論的時候連花卉都沒有最後你加進來對我現在6月7日的時候我們已經新的部分我們會跟勞動部爭取然後意義方面我們會把它降低門檻 |
transcript.whisperx[195].start |
5916.846 |
transcript.whisperx[195].end |
5917.666 |
transcript.whisperx[195].text |
所以本期請教草皮的部分會放寒這是務必 |
transcript.whisperx[196].start |
5938.232 |
transcript.whisperx[196].end |
5950.137 |
transcript.whisperx[196].text |
對 我們已經有提案到勞動部去了增加的類別 草皮還有什麼?菇吧 芽菜 芽菜非常的重要 菇 菇在我的心色 我們現在連菇 菇菌種都我們農會自己來協助 |
transcript.whisperx[197].start |
5959.84 |
transcript.whisperx[197].end |
5980.494 |
transcript.whisperx[197].text |
這是為國爭光啊 為國爭光 所以菇類 草皮都會在這一次 芽菜 什麼時候會公布我想我們在時任程局長一定會跟勞動部協調 然後跟他爭取你預估的KPI的時間點在什麼時候我都希望在年底之前都能夠完成啦 當然越快越好啊 |
transcript.whisperx[198].start |
5980.936 |
transcript.whisperx[198].end |
5989.878 |
transcript.whisperx[198].text |
不可能到年底,現在才6月!你怎麼可能半年?你不做事嗎?怎麼省也不要省到半年呢?大家都知道非常的迫切需要啊!我們農民一天都不能等欸! |
transcript.whisperx[199].start |
6003.041 |
transcript.whisperx[199].end |
6024.733 |
transcript.whisperx[199].text |
加速審查 儘速開放 草皮 香菇 菇類 營養 芽菜都要開放因為它有一部分還要修法部長你真的要謝謝我們台中地區的草皮 像我們的永旺公司 |
transcript.whisperx[200].start |
6026.274 |
transcript.whisperx[200].end |
6041.26 |
transcript.whisperx[200].text |
二三十年全家董總動員不斷的在推陳初心為我們國家賺了這麼多的稅所以我們要全力支持他像我們的香菇我們做到被人欺負之後我們甚至農會你們輔導的我要謝謝我們自己 |
transcript.whisperx[201].start |
6045.894 |
transcript.whisperx[201].end |
6047.034 |
transcript.whisperx[201].text |
我們現在三天現在一共多少? |
transcript.whisperx[202].start |
6075.905 |
transcript.whisperx[202].end |
6077.708 |
transcript.whisperx[202].text |
25.5你看一直盤上個禮拜27.5現在25.5那我們的批發價本來是大概39塊 |
transcript.whisperx[203].start |
6090.655 |
transcript.whisperx[203].end |
6110.761 |
transcript.whisperx[203].text |
甚至有人說再來給我第一家好辛苦一箱甚至一箱一箱300塊怎麼辦您上次跟我本席討論的從寡產機那麼你說一個月我們要有這個50萬支你要維持兩個月維持兩個月嗎維持兩個月每一個月增加淘汰50萬支應該是60萬120變成180 |
transcript.whisperx[204].start |
6120.646 |
transcript.whisperx[204].end |
6126.214 |
transcript.whisperx[204].text |
60萬隻 一隻補助多少 20塊 一隻補助20塊部長你冷靜去想好不容易生出來的雞蛋 過量甚至要去餵豬 心痛啊 |
transcript.whisperx[205].start |
6135.546 |
transcript.whisperx[205].end |
6159.253 |
transcript.whisperx[205].text |
接下來我們要看到人民的納稅錢因為你的產銷沒有去安排好我們還要一支補助20塊這都是人民的納稅錢你的產銷機制你現在希望控制在2400萬克 對不對你現在希望控制這樣子那所以本席也具體給你建立你的產銷機制 |
transcript.whisperx[206].start |
6161.604 |
transcript.whisperx[206].end |
6165.406 |
transcript.whisperx[206].text |
你的產銷機制必須好好的去盤點好不好你沒有去盤點一架子又要我們補助一隻寡產母雞20塊這都是我們的錢欸60萬隻double120萬隻又要花多少錢啊產生出來的雞蛋還要送給豬吃哇這個是他存起來還要冷藏還要電費農民苦哈哈雞農苦哈哈欸 |
transcript.whisperx[207].start |
6190.39 |
transcript.whisperx[207].end |
6206.655 |
transcript.whisperx[207].text |
不可以如此你去盤點我們要怎麼樣在產銷能夠平穩你把數量資料給本席好不好好最後一個議題我給你也就是你知道本席非常關心的我們流浪的遊蕩的這些犬貓 |
transcript.whisperx[208].start |
6207.881 |
transcript.whisperx[208].end |
6228.3 |
transcript.whisperx[208].text |
那我們現在有說啊天啊天啊的機制你的SOP流程你整個要完善啊我說你今天手術之後你應該要有讓他們幾天的觀察期才可以回治嘛你現在第26條告訴我你們告訴我只要一天 |
transcript.whisperx[209].start |
6229.561 |
transcript.whisperx[209].end |
6257.034 |
transcript.whisperx[209].text |
一天可以嗎?腸子破掉了肚子也破了這怎麼辦啊?可以嗎?所以本期具體建議你應該要將這個TNR的手冊裡面要嚴格的去落實到它上面基層都建議回治的時間要手術後的五天部長你認為呢? |
transcript.whisperx[210].start |
6258.627 |
transcript.whisperx[210].end |
6276.653 |
transcript.whisperx[210].text |
我覺得在整個在回遲的之前一定要確保動物的福利這是一個最大的一個前提那你東東一天肚子破掉也讓他出來他如果結紮以後有一些傷口如果說要看當時的情況我覺得一天可能太早啦我覺得要確保動物的福利是一個前提這個基本 |
transcript.whisperx[211].start |
6277.779 |
transcript.whisperx[211].end |
6296.489 |
transcript.whisperx[211].text |
第一件希望五天我希望你去盤點至少要三天好不好好不好你把數字告訴本席因為你們更離譜叫說回字過去肚子破掉的說請周邊的居民你請看一下他到底在哪裡所以本期第二項建議第一個時間點你們去盤點本期具體建議至少要三天回字第二個具體建議手術之後也應該要有放晶片你們去研議 |
transcript.whisperx[212].start |
6307.354 |
transcript.whisperx[212].end |
6320.822 |
transcript.whisperx[212].text |
這樣子你才可以管控這一支到底跑到哪裡去啊不然你會製造第二個問題嘛好不好我覺得委員的建議非常正確就是說當我捕捉以後再回制的時候應該放晶片啦如果沒有的話我們會強我也要求啦 |
transcript.whisperx[213].start |
6322.483 |
transcript.whisperx[213].end |
6347.542 |
transcript.whisperx[213].text |
接下來才能有效的追蹤對 我們才能夠達到我們才有結果嘛 對不對好 我也謝謝你同意本席所提出手術之後結紮之後你必須要放晶片讓所有的人都能夠安心嘛好不好那第一項就是以照顧我們的這個犬貓牠動物牠的安全為基準本席具體建議是三天你要把時間告訴本席 好嗎 謝謝 |
transcript.whisperx[214].start |
6357.313 |
transcript.whisperx[214].end |
6369.457 |
transcript.whisperx[214].text |
接下來我們請謝一芬委員請做巡檔謝謝主席 我想要請陳部長 我們再請陳部長委員長 |
transcript.whisperx[215].start |
6378.325 |
transcript.whisperx[215].end |
6393.432 |
transcript.whisperx[215].text |
部長早其實我看到你們的報告當中你已經瞭解其實我們現在農業的這個勞動人口其實在50歲以上的勞動人口都算是年輕是不是以農業來說是不是 |
transcript.whisperx[216].start |
6399.758 |
transcript.whisperx[216].end |
6419.43 |
transcript.whisperx[216].text |
平均是53歲啦那我先提供一個數據就是現在目前的那個主計總數調查是50.9萬那其中如果說大於65歲才11%換句話說65歲以下的大概接近大概90%左右那50歲以上的呢 |
transcript.whisperx[217].start |
6420.371 |
transcript.whisperx[217].end |
6425.698 |
transcript.whisperx[217].text |
50歲以上的齁我這邊的數據是有小於45歲的大概12.6萬人然後45到64的是27.3萬人這樣推估起來大概20萬人左右 |
transcript.whisperx[218].start |
6431.437 |
transcript.whisperx[218].end |
6451.574 |
transcript.whisperx[218].text |
所以大部分都是在50歲上下對上下這個部分那代表了我們其實農業的缺工是非常嚴重的嘛大家都你也你也非常清楚是那在農業缺工裡面你又你的報告也提到了我們的臺灣的是以小農為主是 |
transcript.whisperx[219].start |
6452.955 |
transcript.whisperx[219].end |
6466.037 |
transcript.whisperx[219].text |
那小農的缺工他如果要自己去找工人或者是引進勞工是不是比較困難很多人是用合併的方式那這個部分怎麼樣解決這個外展農業服務 |
transcript.whisperx[220].start |
6467.389 |
transcript.whisperx[220].end |
6493.073 |
transcript.whisperx[220].text |
我跟委員說明就是因為請一個外籍移工的話成本大概4萬塊左右所以你如果自己是小面積的你去請一個外籍移工的話非常困難我覺得那個會把你的收益都吃掉所以我們是鼓勵用合作社的方式共同經營的方式去處理那第二個部分就是我們會強化這些外展的移工有跨區協助的一個功能 |
transcript.whisperx[221].start |
6493.393 |
transcript.whisperx[221].end |
6514.452 |
transcript.whisperx[221].text |
可是過去你們也有所謂的就是說我們的就是週期性的就是勞動的人力的有我們還是有但是過去就是成效不彰啊第一個有一些就是不願意做那有一些不願意留下來那你們未來怎麼樣子改善這些問題 |
transcript.whisperx[222].start |
6515.533 |
transcript.whisperx[222].end |
6530.458 |
transcript.whisperx[222].text |
我想分為兩個層次就是我們會強化現在本國的人力團46團裡面大概1500人能夠真正的達到對季節性缺工的一個需求能夠滿足到第二個部分就是有一部分可以用機械化自動化替代的部分我們會 |
transcript.whisperx[223].start |
6531.358 |
transcript.whisperx[223].end |
6556.156 |
transcript.whisperx[223].text |
去組成一些農事服務業然後透過機械化的部分去來協助他們去做處理那第三個部分是有一些像高接力有沒有我們用人機輔具的方式是節省他的同樣的人但是能夠增加他的效率對但是我們知道像水稻、雜糧等等可以機械化但是很多的例如我們剛才說到的花卉 |
transcript.whisperx[224].start |
6557.036 |
transcript.whisperx[224].end |
6573.829 |
transcript.whisperx[224].text |
對,花卉果樹都是比較困難的花卉或者是菇類或者是其他的草皮、芽菜等等都是困難的那這個部分怎麼解決我想第一個部分就是我們會降低他申請的門檻就是我們會重新評估 |
transcript.whisperx[225].start |
6574.309 |
transcript.whisperx[225].end |
6593.797 |
transcript.whisperx[225].text |
議員. |
transcript.whisperx[226].start |
6594.867 |
transcript.whisperx[226].end |
6622.592 |
transcript.whisperx[226].text |
還有大家關注的蛋的問題去年是缺蛋今年卻是蛋過剩我想要請問部長從你從整體的供需的角度來看為什麼會發生這樣子的問題我想分為兩個層次就是說我們在整個的雞舍的升級過程中有一部分已經升級了它的產蛋效率又變高但是他們 |
transcript.whisperx[227].start |
6623.803 |
transcript.whisperx[227].end |
6624.243 |
transcript.whisperx[227].text |
另外一個問題是我們現在的消費量 |
transcript.whisperx[228].start |
6638.814 |
transcript.whisperx[228].end |
6639.894 |
transcript.whisperx[228].text |
對,所以我們一直呼籲我們的消費民眾就是 |
transcript.whisperx[229].start |
6663.122 |
transcript.whisperx[229].end |
6664.283 |
transcript.whisperx[229].text |
在這個問題上面消費者跟農民同樣的受傷 |
transcript.whisperx[230].start |
6679.628 |
transcript.whisperx[230].end |
6705.401 |
transcript.whisperx[230].text |
是不是?消費者也沒有享受到現在蛋過剩他們低價的便宜而農民卻又受到了蛋產量過剩的問題是不是?那農委會這個也要解決啊是不是?對我們現在有一部分就是在跟超市賣場合作就是他們供應的消費端的這些蛋能夠有一些比較平價的方式去刺激他們 |
transcript.whisperx[231].start |
6706.241 |
transcript.whisperx[231].end |
6720.554 |
transcript.whisperx[231].text |
那部分的這些超市賣場已經開始有這樣的行動了所以什麼時候會開始沒有這個是我們在跟超市賣場協調那超市賣場有一部分他已經開始有降價的一個空間那我們希望說這個降價能夠帶動 |
transcript.whisperx[232].start |
6722.571 |
transcript.whisperx[232].end |
6737.337 |
transcript.whisperx[232].text |
好 那希望說降價的問題不會再影響到產地蛋的售價好不好因為你這樣子對 這樣會惡性循環下去我們這樣子這個雞蛋的問題永遠都沒有辦法解決是不是 |
transcript.whisperx[233].start |
6738.632 |
transcript.whisperx[233].end |
6754.034 |
transcript.whisperx[233].text |
再來就是我昨天特別去了解了現在我們農業部在推廣的就是希望輔導農民使用青蛮樹來吹芽是不是 |
transcript.whisperx[234].start |
6755.955 |
transcript.whisperx[234].end |
6768.287 |
transcript.whisperx[234].text |
但是我發現了我在觀摩當中我發現一個非常大的問題就是你們認為青蛮樹的導入農民可以自己的去 |
transcript.whisperx[235].start |
6769.554 |
transcript.whisperx[235].end |
6769.574 |
transcript.whisperx[235].text |
是﹗ |
transcript.whisperx[236].start |
6796.256 |
transcript.whisperx[236].end |
6816.777 |
transcript.whisperx[236].text |
過去我們在希望輔導農民用青蟎樹來吹芽的時候結果現在又發生了這樣子就是第一個估算的問題第二個還發生了氣候的因素也跟過往不同了現在因為氣候變遷的因素導致 |
transcript.whisperx[237].start |
6818.439 |
transcript.whisperx[237].end |
6835.964 |
transcript.whisperx[237].text |
⋯⋯ |
transcript.whisperx[238].start |
6836.67 |
transcript.whisperx[238].end |
6860.721 |
transcript.whisperx[238].text |
我們吹牙的這樣子的一個效果的農藥過去也是農委會推薦克美素那克美素目前在食藥署並沒有定任何的殘留那在沒有定殘留情況下他們可不可以用藥那不能用藥的情況下怎麼樣子解決目前吹牙的問題部長 |
transcript.whisperx[239].start |
6862.369 |
transcript.whisperx[239].end |
6862.869 |
transcript.whisperx[239].text |
當然你現在都是優化技術 |
transcript.whisperx[240].start |
6883.601 |
transcript.whisperx[240].end |
6901.01 |
transcript.whisperx[240].text |
但是我說的是農民過往他們就已經習慣因為這個東西他們過往是用外包的方式所以他們本身就沒有具備吹牙的這個技能嘛那我們今天如果要做這樣子的時候你也要花一些時間去導入嘛 |
transcript.whisperx[241].start |
6902.731 |
transcript.whisperx[241].end |
6926.317 |
transcript.whisperx[241].text |
那對於農民這樣子的一個你剛才說的你要誘導他進入這個政策的時候你必須要給他誘因嗎那在這個部分青蠻樹的部分你怎麼樣子提供他們誘因啊過去我們農業部說要導入青蠻樹是希望可以先減青蠻樹這個用藥的價格就是這個催壓劑的價格那怎麼樣子做相關的補貼 |
transcript.whisperx[242].start |
6932.439 |
transcript.whisperx[242].end |
6944.607 |
transcript.whisperx[242].text |
我想我們會去思考一些產業的輔導的一個產業的協助的作為但是我們基本上不傾向直接用因為藥的部分我們很少用 |
transcript.whisperx[243].start |
6945.472 |
transcript.whisperx[243].end |
6945.592 |
transcript.whisperx[243].text |
我瞭解 |
transcript.whisperx[244].start |
6964.017 |
transcript.whisperx[244].end |
6988.787 |
transcript.whisperx[244].text |
這個東西是當初就是說我們在當初在協助他們做這個相關的這個吹牙祭的這個就是使用青蠻樹這個過程當中我們希望可以就是說讓所有農民慢慢的去使用但是你去使用的時候我們又發生了氣候的問題導致於他們又要使用新的藥 |
transcript.whisperx[245].start |
6989.787 |
transcript.whisperx[245].end |
6989.907 |
transcript.whisperx[245].text |
好 謝謝好 謝謝 |
transcript.whisperx[246].start |
7022.077 |
transcript.whisperx[246].end |
7029.443 |
transcript.whisperx[246].text |
這個議題真的很重要連我們的計時器都跳起來了所以部長加油接下來我們請李議員請做巡檔謝謝主席請陳部長再請陳部長 |
transcript.whisperx[247].start |
7044.94 |
transcript.whisperx[247].end |
7066.474 |
transcript.whisperx[247].text |
部長,我國的經濟從農業社會一直轉型到工業社會到現在的以科技的這個產業供應鏈為支柱那尤其要提升我們國際的競爭力我們看到產業的轉型跟民眾的觀念以及少子化的這個危機加重了我們農村地區的人口的老化跟世代的斷層 |
transcript.whisperx[248].start |
7067.295 |
transcript.whisperx[248].end |
7067.435 |
transcript.whisperx[248].text |
那是農保的 |
transcript.whisperx[249].start |
7084.16 |
transcript.whisperx[249].end |
7102.076 |
transcript.whisperx[249].text |
所以現在2019年引進了這個農業的移工有這個需要吧從最早的800人到現在12000人剛剛部長在報告的時候也特別講到目前現在移工的申請到了8500人到年底就會到12000人那你知道這個缺口還要有8000人對不對那這8000人的話你知道要分配的到哪裡嗎 |
transcript.whisperx[250].start |
7108.542 |
transcript.whisperx[250].end |
7114.465 |
transcript.whisperx[250].text |
例如說像我們農糧部分目前是4000續牧業的話是4000人還有我們的外產人員是3000人跟我們養殖業800跟林業的200那你未來增加的這8000人你有規劃你有去做市場調查嗎對我們那個8000人就是從市場調查裡面得到的目前8000人會怎麼分配對大概還是會在農糧為主然後有一部分是續牧 |
transcript.whisperx[251].start |
7133.134 |
transcript.whisperx[251].end |
7133.294 |
transcript.whisperx[251].text |
外展外展 |
transcript.whisperx[252].start |
7163.534 |
transcript.whisperx[252].end |
7164.255 |
transcript.whisperx[252].text |
我跟委員說明,就是過往這個 |
transcript.whisperx[253].start |
7183.84 |
transcript.whisperx[253].end |
7209.247 |
transcript.whisperx[253].text |
外展的部分都在當區因為牽涉到交通跟住宿的問題當我去做跨區的時候我們會再跟我們現在開始有示範我們會去看示範裡面他的真正的需要在協助的地方特別是包括交通還有一部分的住宿那我舉個例子像果樹部長你還是沒有去了解務實的這個問題你要問到每一個農會他們在申請的人員比如說大的農會 |
transcript.whisperx[254].start |
7210.487 |
transcript.whisperx[254].end |
7215.753 |
transcript.whisperx[254].text |
現在大的農會比如說板橋好了或者台北好了他大的農會人員很多你現在配比是50%1比1對不對他的農會的話大農會人員當然多他申請的人多但是實際上下去農耕的人卻不需要那麼多因為他的農會實際在做的就是存放好的業務比較多嘛所以 |
transcript.whisperx[255].start |
7229.907 |
transcript.whisperx[255].end |
7254.28 |
transcript.whisperx[255].text |
在農村來講話他雖然是小農會可能他的行業裡面大概緣額大概20人10幾個人但是他的那個農地非常的大所以在這邊提醒部長就是你的外展人員跟你配比的問題你就需要依照農地的大小以大農地來申請這個外展人員而不是農會的大小的緣額來申請這樣子的話就不夠物質了是不是 |
transcript.whisperx[256].start |
7255.02 |
transcript.whisperx[256].end |
7273.22 |
transcript.whisperx[256].text |
我講分為兩個層次齁第一個層次是合配比的部分齁我們現在是全國一次性的只是合配比不一樣齁它的一個本級跟外級的部分那剛才委員所提的用農地的部分齁小農會比如說像我們現在還有合作社也可以所以我們會針對那一區那一區如果說農會如果 |
transcript.whisperx[257].start |
7276.744 |
transcript.whisperx[257].end |
7284.408 |
transcript.whisperx[257].text |
的人力的不夠的時候我們會協助他用合作的方式還可以去申請所以我們會盡量朝這個努力因為農地體會不大 |
transcript.whisperx[258].start |
7292.773 |
transcript.whisperx[258].end |
7311.527 |
transcript.whisperx[258].text |
並備質詢 |
transcript.whisperx[259].start |
7311.587 |
transcript.whisperx[259].end |
7335.704 |
transcript.whisperx[259].text |
他可能兩夫妻的工作但是他在收割期的話需要大量的人力就必須要有臨時工這就必須要調配所以有的地方如果沒有像部長您所講的有46個團的人力1500人的這個農務的人力團的話他需要的人力就必須要在當地當地的話比如我們桃園的話就青農青農的話他就可以成立合作社你補助他這個機械化的農機具的話他可以來協助幫忙 |
transcript.whisperx[260].start |
7339.326 |
transcript.whisperx[260].end |
7361.033 |
transcript.whisperx[260].text |
但是部長你有沒有了解到農忙的時候大家都忙都在搶人比如我們桃園的話比較多的是水稻或者是我們茶葉或者是我們的有機蔬菜忙的時候都一樣有機蔬菜是每天在忙可是如果說茶葉一次性的水稻一年兩次性三次性就是把這個農民休閒的時間會空擋在這邊所以這樣的情形的話他們要怎麼去管理外產人員呢 |
transcript.whisperx[261].start |
7367.543 |
transcript.whisperx[261].end |
7388.583 |
transcript.whisperx[261].text |
所以我們才會提到這個外長可以跨區來支援那以桃園地區來講的話我們會加強因為很多像蔬菜類的部分有沒有我們會加強它的農事服務的代更系統那這樣它的人民又可以往別的地方走我還請部長你再務其了解跨區的資源還是不足在當地的在地的資源 |
transcript.whisperx[262].start |
7389.103 |
transcript.whisperx[262].end |
7389.363 |
transcript.whisperx[262].text |
會來得比較好 |
transcript.whisperx[263].start |
7406.736 |
transcript.whisperx[263].end |
7414.121 |
transcript.whisperx[263].text |
我瞭解我瞭解但是因為勞動部這邊對於核配比有一致性的原則啦那這個已經超多他的一致性原則用本國跟所以務實去了解實際的問題在研究以後再跟勞動部來溝通 |
transcript.whisperx[264].start |
7430.931 |
transcript.whisperx[264].end |
7440.719 |
transcript.whisperx[264].text |
還有就是因為我們的農耕是比較曝曬在戶外曬太陽而且比較辛苦所以這移工失聯的也比較多部長有沒有發現這個問題?我們大概是12點14所以要怎麼防範呢? |
transcript.whisperx[265].start |
7447.905 |
transcript.whisperx[265].end |
7463.832 |
transcript.whisperx[265].text |
我想要先去考慮說會去逃逸的部分可能就是因為你本身的適應性不夠而且農業的這些特殊性農業跟其他的工業不一樣然後因為移工有互相聯絡的關係他都會跑往比較輕鬆的在COVID-19的時候 |
transcript.whisperx[266].start |
7465.313 |
transcript.whisperx[266].end |
7466.113 |
transcript.whisperx[266].text |
我們了解這個,我們會想辦法去解決這個問題 |
transcript.whisperx[267].start |
7491.321 |
transcript.whisperx[267].end |
7505.467 |
transcript.whisperx[267].text |
接下來我想請問部長一下因為台電有說未來他對於農漁業的這個電費已經不補助了那我們這邊有沒有要補助這個電費的補助我們已經納入我們農業部的預算大概19億農漁業的話的電費補助大概多少錢18.9億他也是18.9億 |
transcript.whisperx[268].start |
7513.038 |
transcript.whisperx[268].end |
7513.879 |
transcript.whisperx[268].text |
我記得是18.9億那你會補足嗎 |
transcript.whisperx[269].start |
7526.809 |
transcript.whisperx[269].end |
7544.381 |
transcript.whisperx[269].text |
一定要補足啊!好!那就不要把這個成本轉嫁到農民!現在農民的成本已經很高了啦!已經慢慢地在衰退了!如果再付他更多的成本他可能會受不了!店家的那個六大項我們會去支撐著嘛!就不會調降!不會調漲!那這個差額的部分是由農業部 |
transcript.whisperx[270].start |
7545.322 |
transcript.whisperx[270].end |
7545.362 |
transcript.whisperx[270].text |
主席 |
transcript.whisperx[271].start |
7572.998 |
transcript.whisperx[271].end |
7600.85 |
transcript.whisperx[271].text |
首先有請我們農業部我們的陳部長我們請陳部長委員長部長好部長我給你請教你幾年出委?47年次47年次好我這樣了解那部長我每次在委員會的執行 |
transcript.whisperx[272].start |
7602.925 |
transcript.whisperx[272].end |
7626.943 |
transcript.whisperx[272].text |
還有我們院會的總執行一直強調苗栗縣一定要成立第一區反波四萬區苗栗縣的土地裡面86%是山坡地我們受限到苗栗縣的喉嚨被鎖住的我告訴你一個世界情形 |
transcript.whisperx[273].start |
7628.089 |
transcript.whisperx[273].end |
7656.683 |
transcript.whisperx[273].text |
苗栗的山坡地一甲地大概是一千五百萬到兩千萬說到台北市新北市大概買不到十坪到二十坪的房子你看這比例差了多少我也希望部長這開始對農民很不公平農民又分成兩種都市計劃 |
transcript.whisperx[274].start |
7658.336 |
transcript.whisperx[274].end |
7659.596 |
transcript.whisperx[274].text |
尤其苗栗縣的山坡地占了86% |
transcript.whisperx[275].start |
7687.369 |
transcript.whisperx[275].end |
7709.69 |
transcript.whisperx[275].text |
您知道嗎?你們在農挖條例以來,您條例學術在說,只要說山坡地保持安全,我告訴你們,現在北省太窮了,自己去的地方必須要照顧得好,不能發生問題。那主要為了醫院一片的假清高,把農民的財產都把它降下來, |
transcript.whisperx[276].start |
7711.431 |
transcript.whisperx[276].end |
7740.038 |
transcript.whisperx[276].text |
以前一甲地可以賣到三千多兩千多現在剩下一千五還沒有人要那是天道地的差別農民是客家宅散地國家宅散現在老農民在工作做什麼呢做健康的不是賺錢的自己農業部搞一個民主地所以我在這我要再三跟你強調我希望你跟我還有水保使的跟我下去看 |
transcript.whisperx[277].start |
7741.175 |
transcript.whisperx[277].end |
7748.794 |
transcript.whisperx[277].text |
你看到的時候你覺得退出的時候就要到那個地方來治鳥語花香人間仙境 |
transcript.whisperx[278].start |
7750.438 |
transcript.whisperx[278].end |
7771.904 |
transcript.whisperx[278].text |
那因為開挖現在為什麼不給你們講其實裡面你有開挖包括你農地的耕種你甚至可以組織農耕隊裡面要大膽的改革啊我們要有行動也要有創新你的AI內閣像我山坡地86%都在那裡喊著要洗洗地啊 |
transcript.whisperx[279].start |
7773.234 |
transcript.whisperx[279].end |
7778.8 |
transcript.whisperx[279].text |
我現在要求一件事我比你年紀還大但是我永遠是行動我永遠敢於創新 |
transcript.whisperx[280].start |
7795.595 |
transcript.whisperx[280].end |
7808.774 |
transcript.whisperx[280].text |
我朝你來看我一定我們在苗栗縣政府裏面討論完我們山坡地要如何開發我要把苗栗縣的山坡地打造像日本輕型車一樣 |
transcript.whisperx[281].start |
7811.981 |
transcript.whisperx[281].end |
7827.47 |
transcript.whisperx[281].text |
來個試試也可以減低了很多都市人口的壓力年紀大的一點一點的人可以在苗栗縣來康養非常好觀念要改變因為苗栗縣有獨特的地方到台北市高鐵40分鐘台中18分鐘 |
transcript.whisperx[282].start |
7831.292 |
transcript.whisperx[282].end |
7842.398 |
transcript.whisperx[282].text |
到高雄那邊大概70幾分鐘而且苗栗縣的高鐵苗栗縣政府到苗栗縣每一個鄉鎮30分鐘就會到很緊張的很好的地方 |
transcript.whisperx[283].start |
7847.489 |
transcript.whisperx[283].end |
7873.704 |
transcript.whisperx[283].text |
我再三提出來我覺得說我們做事情一定要大膽,我們要串心,我們要物盡其用,不是那麼白癡在那,滿山滿嶺以前種的水果都沒有人在摘啊,切工切得很凍,年輕人也不想做,我們也要改變一個方式,方立委來支持我這個結尾,我帶你去看,我們把問題提出來,真的是好地方 |
transcript.whisperx[284].start |
7875.677 |
transcript.whisperx[284].end |
7897.702 |
transcript.whisperx[284].text |
我被你們農化條例限制變成垃圾我一定要活化阿免驚你給我們一個試驗地區由縣長來指導法院跟你們討論通過以後做一次給人家看這樣不像台灣的進步永遠你保守在那邊什麼的不能破壞我常常講 |
transcript.whisperx[285].start |
7899.144 |
transcript.whisperx[285].end |
7923.4 |
transcript.whisperx[285].text |
都市人禮拜一到禮拜五你們在這邊燈紅巧麗。禮拜五晚上到我們鄉下地方禮拜六禮拜天我們的青山綠水好山好水都在你鄉上。為什麼都市裡面的農地可以重劃?變為自宅區變為商業區?為什麼我們山坡地要特別受您規限? |
transcript.whisperx[286].start |
7925.129 |
transcript.whisperx[286].end |
7933.898 |
transcript.whisperx[286].text |
現在施工幾乎沒有人在種:有時候你看到很悲哀:誰要去爬:要不要答應支持我這樣:我們兩個還有水保局跟我去看:三個人 |
transcript.whisperx[287].start |
7950.862 |
transcript.whisperx[287].end |
7962.595 |
transcript.whisperx[287].text |
半天給你看到民間的力量有多偉大他創造一個美好的地方之後他們都實現大家人生要來修養安養的一個地方在 |
transcript.whisperx[288].start |
7965.538 |
transcript.whisperx[288].end |
7969.641 |
transcript.whisperx[288].text |
我那時候也承諾在我們的會期結束以後我一定會安排我的同仁好好地去看不要太走忍 |
transcript.whisperx[289].start |
7983.303 |
transcript.whisperx[289].end |
7987.507 |
transcript.whisperx[289].text |
我舉個人去看一看當然你會瞭解很多地方 當初以前做了這個說明 可有辦法可能的 |
transcript.whisperx[290].start |
8005.866 |
transcript.whisperx[290].end |
8010.63 |
transcript.whisperx[290].text |
在我要唱給大家聽,還沒開發還沒進步,怎麼會這樣就立場改變一下啦!謝謝!我跟委員報告,我們不能用農地的階段,不是只有... |
transcript.whisperx[291].start |
8018.578 |
transcript.whisperx[291].end |
8019.738 |
transcript.whisperx[291].text |
今天講到農業移工 |
transcript.whisperx[292].start |
8047.605 |
transcript.whisperx[292].end |
8070.691 |
transcript.whisperx[292].text |
啊現在狀況,失聯移工是佔了一個大部分那在流氓的時候看你部長夠不夠力你外來的移工現在從6千人到1萬2千人條度的問題每一個農產品產的季節的問題都不一樣所以現在依我了解 |
transcript.whisperx[293].start |
8072.272 |
transcript.whisperx[293].end |
8091.894 |
transcript.whisperx[293].text |
這農民要叫台灣人來做,沒人什麼人要做,要去拜託,拜託到很沒民主的那些主力才是主力,我先插頭跟你講其實有時候我們要感謝他們,為什麼?那段的時間大家寧願錢高一點給他們,他們又出來做 |
transcript.whisperx[294].start |
8092.984 |
transcript.whisperx[294].end |
8109.169 |
transcript.whisperx[294].text |
因為你記得一個觀念這些移工一進來他就是要賺錢談了一段時間有給他賺錢他就會問一座台灣人做一半工就把你完成了我跟你講我碰到很多我在地方跑都會問這個問題第二個關於移工要進來 |
transcript.whisperx[295].start |
8115.327 |
transcript.whisperx[295].end |
8139.612 |
transcript.whisperx[295].text |
農業,你們以農業系統,我也支持但是我會講,農業系統,你是有換款的單位當然以輔導的單位,比較官僚一點我講這句話也就是我們的農業嘛但是我相信不會,我是把實情告訴你因為我要替你解決問題,我要把真的情形另外,我碰到了幾個 |
transcript.whisperx[296].start |
8141.805 |
transcript.whisperx[296].end |
8166.965 |
transcript.whisperx[296].text |
農會的青年人不錯 像我們縣里農會 像我們的西湖農會 那些啊 青農不錯 即使你真的在調用 那些農會 行動到緩慢 那些青年 青農都很多新的 不單更做 而且是地方有實力的 他認識的人很多 好好把持 這個是重要的裝潮 |
transcript.whisperx[297].start |
8168.246 |
transcript.whisperx[297].end |
8181.9 |
transcript.whisperx[297].text |
所以他們為了要服務將來他們要在地方發展的時候只要他的農民來拜託他他就會去幫他找解決問題快速好好的運用這個有效率的青龍 |
transcript.whisperx[298].start |
8183.362 |
transcript.whisperx[298].end |
8205.499 |
transcript.whisperx[298].text |
我看過我們縣裡的青龍真的很團結,也真的在做事情。西湖的也不錯。每一個地方的青龍培養出來不一樣。我覺得你用這樣的青龍,它有你農業各方面的人在那一邊,他們還用的速度很快。調整人力好好指揮給他們去應用一下,可能非常快。 |
transcript.whisperx[299].start |
8206.818 |
transcript.whisperx[299].end |
8229.455 |
transcript.whisperx[299].text |
當然未來我們CPTP一進來我們會更到 農業會更到更大的麻煩現在因應好 未來是來是我們以後農業的主力 現在沒有人要做了 我只是跟你講而且收穫也不高 只維護他的土地 哎呀啦 我要去做什麼 叫做做健康的啦 |
transcript.whisperx[300].start |
8231.82 |
transcript.whisperx[300].end |
8254.317 |
transcript.whisperx[300].text |
好 謝謝謝謝委員 謝謝陳委員感謝 謝謝接下來我們請賴駿榮委員請做詢答 謝謝好 謝謝趙偉浩請陳部長我們再請陳部長各位與會人士我們今天沒有休息所以如果要這個 |
transcript.whisperx[301].start |
8258.26 |
transcript.whisperx[301].end |
8279.958 |
transcript.whisperx[301].text |
人性管理請自行處理謝謝好委員長好部長我首先請教一下這個牡蠣的問題這個也是漁業也是食安的問題全國的牡蠣其實這幾年整體的數量是減少的但是在媽祖的部分幾乎是倍增大概是兩倍從109年66公噸到148公噸是部長為什麼會有這樣的狀況 |
transcript.whisperx[302].start |
8286.743 |
transcript.whisperx[302].end |
8302.932 |
transcript.whisperx[302].text |
全台灣整體在減少而在媽祖全台灣的牡蠣大概在兩萬噸上下那過往大概平均大概一萬七千噸我先講國內的部分然後不足的地方是從國外的特別是以越南為主那當你國內的因為氣候關係調降的時候 |
transcript.whisperx[303].start |
8305.914 |
transcript.whisperx[303].end |
8331.43 |
transcript.whisperx[303].text |
那個越南的牡蠣就會進來可是我們發現這一兩年來這一兩年來的越南的牡蠣包括從五千噸六千噸讓整體的這個產量大概多了兩千噸左右大概到了兩千兩百噸不過比較好的情況是它的面積雖然下降但是產值提高了這個產值提高的部分我要講是馬祖牡蠣這個部分對 那馬祖的部分 |
transcript.whisperx[304].start |
8332.951 |
transcript.whisperx[304].end |
8350.629 |
transcript.whisperx[304].text |
從那個應該是66到148嘛那相對的就是馬祖本身的這些海域過往他比較少種那現在他們覺得說種這個也算是不錯的現在有14家那他們覺得是不錯的一個行業所以他們透過馬祖養殖了以後進到本島來賣 |
transcript.whisperx[305].start |
8352.371 |
transcript.whisperx[305].end |
8373.947 |
transcript.whisperx[305].text |
這個通道本身現在大概有建立了我只是要特別提醒因為就整個產量來說的話其實媽祖的這個平均每戶的產量狀況是高於臺灣這邊的那我要講的是媽祖的這些牡蠣的重金屬的檢驗其中幾個裡面檢驗特別在這個蛤的部分都是超過1ppm的 |
transcript.whisperx[306].start |
8375.328 |
transcript.whisperx[306].end |
8392.724 |
transcript.whisperx[306].text |
甚至有到2.33ppm那我認為這個問題其實是需要還是需要農業部跟漁業署去重視當然是涉及到包括涉及到相關的衛福部的一些事案的問題包括涉及到海巡是不是有走私偷渡的問題等等但不管但我覺得就 |
transcript.whisperx[307].start |
8394.226 |
transcript.whisperx[307].end |
8412.984 |
transcript.whisperx[307].text |
於產品的一個安全性來說我覺得漁業署跟農業部還是有責任我希望用最快的時間去找各單位去溝通釐清一下一方面就是說這個如果有走失的狀況的話這個還是要做一些處理包括各種的走失狀況甚至把它放在那邊然後變成由這邊來採收或者是說這個 |
transcript.whisperx[308].start |
8417.248 |
transcript.whisperx[308].end |
8445.817 |
transcript.whisperx[308].text |
整個種金屬的狀況我認為這個部分農業部應該要更有態度去做處理我想非常重要就是其實從馬祖過來其實我們最擔心的是稀產地的部分所以針對馬祖本身種的我們會要求它本身有成交履歷或追溯的現在14家裡面已經有13家了那一旦有這個追溯系統它的量就能夠了解第二個就是品質的問題就是它品質本身的一個監控養殖條件的一個監控的部分我們會要加強 |
transcript.whisperx[309].start |
8446.237 |
transcript.whisperx[309].end |
8465.674 |
transcript.whisperx[309].text |
⋯⋯⋯⋯ |
transcript.whisperx[310].start |
8466.315 |
transcript.whisperx[310].end |
8476.751 |
transcript.whisperx[310].text |
甚至他的來源是不清楚的我認為他就應該要這個部分要持續來推動這樣才能確保整個好不好我希望這一塊部長跟署長再更花多點時間來做處理好 |
transcript.whisperx[311].start |
8478.038 |
transcript.whisperx[311].end |
8504.209 |
transcript.whisperx[311].text |
接下來回來講一下雞蛋我覺得雞蛋這件事情其實很久了我看從去年就已經一直有人在檢舉部長為什麼經過了一整年還有人在炒這件事情部長你怎麼看不過我想其實從今年2月開始許多委員他是針對111年的我們雞蛋的專案進口是112年的部分所以當這些資料開始釋出的時候 |
transcript.whisperx[312].start |
8504.969 |
transcript.whisperx[312].end |
8506.231 |
transcript.whisperx[312].text |
我先問一下買斷這件事情有沒有違法? |
transcript.whisperx[313].start |
8525.433 |
transcript.whisperx[313].end |
8551.168 |
transcript.whisperx[313].text |
我想整個的貿易的交易的過程中你用合約也可以用到貨付款的方式也可以這是一個非常正常的一個過去來的政府都有採用這兩種方式都有進行這個貨到付款的方式其實在中央區長會其實他已經行事了非常久的一個我會再問一下過去有哪些是用曾經也用這樣的方式來進行我想豬肉的部分有沒有豬肉的部分也是用這樣的方式在哪一年的時候 |
transcript.whisperx[314].start |
8554.813 |
transcript.whisperx[314].end |
8577.067 |
transcript.whisperx[314].text |
這三年都有這三年都有用直接買斷的方式買斷的方式去處理那還有其他的例子嗎報告委員我們在續展會的傳交條件裡面只要透過所謂的直接市場的購入的部分大家都會用這個方式那這幾年大概就是豬肉跟雞蛋這幾年主要這兩個 |
transcript.whisperx[315].start |
8579.387 |
transcript.whisperx[315].end |
8601.475 |
transcript.whisperx[315].text |
部長我要提的其實在2022年的時候那時候其實就缺氮的狀況就開始甚至社會不斷的有一些生意那到了我都還看到了這個媒體的報導當時的時候甚至於還有立委還認為說連這個中國大陸的他雖然有情流感他覺得也可以一樣可以進來就那時候的整個社會的氣氛跟氛圍就是 |
transcript.whisperx[316].start |
8602.435 |
transcript.whisperx[316].end |
8627.634 |
transcript.whisperx[316].text |
台灣因為禽流感的問題而導致我們的蛋量是不足的時候大家在搶蛋的時候沒有蛋的時候一直期盼政府能夠去找到蛋來甚至很多國民黨的立委甚至各黨的立委都還要求要增加雞蛋的來源讓國內能夠充分的能夠來供應這些雞蛋所以我覺得還是還原到當時的那個脈絡裡面去當時大家期待政府是有積極作為來引進這些雞蛋的嘛 |
transcript.whisperx[317].start |
8628.614 |
transcript.whisperx[317].end |
8645.14 |
transcript.whisperx[317].text |
所以包括剛剛部長有提到嘛包括2022年2023年都有那就我所了解的齁當時幾乎是只要誰能夠掌握到這個雞蛋能夠把雞蛋進來大概都是你們買斷甚至引進進來的一個主要的這個依據是吧是這樣吧 |
transcript.whisperx[318].start |
8645.66 |
transcript.whisperx[318].end |
8661.725 |
transcript.whisperx[318].text |
是這樣子喔,就111年的部分因為有一部分是氣候關係還有侵略關係但是那時候的缺氮的嚴重性沒有1120那麼嚴重所以那時候我們剛好是COVID-19的復甦的第二年然後相對的很多氮的需求增加然後雞蛋的產能不夠的時候 |
transcript.whisperx[319].start |
8662.825 |
transcript.whisperx[319].end |
8685.323 |
transcript.whisperx[319].text |
那那個不夠的時候配合穩定後端的一個物價所以我們開始啟動這個雞蛋的進口那當時的時候只有台美澳這三個國家能夠進口的時候所以我們在112年才會比較著重在日本的雞蛋進口可是日本的雞蛋相對的也遇到類似的問題所以誠如委員所說的我們在 |
transcript.whisperx[320].start |
8686.204 |
transcript.whisperx[320].end |
8694.19 |
transcript.whisperx[320].text |
我記得當時還有很多人講說日本的蛋為什麼便宜事實上日本也很多也是進口進來的所以我們其實也是用日本這樣的做法來進口蛋來滿足台灣的需要那裡面談到合約那個部分我看到甚至有的講到超市2022年是用買斷的方式2023年是用簽約的方式 |
transcript.whisperx[321].start |
8714.065 |
transcript.whisperx[321].end |
8729.119 |
transcript.whisperx[321].text |
那亮彩的部分2022年是用簽約的方式嗎?是不是?他在那個4月之前是用簽約的方式因為那個時候是用合約的方式後來我們發現說4月以後的那個缺段情況可能比較嚴峻了 |
transcript.whisperx[322].start |
8730.48 |
transcript.whisperx[322].end |
8754.9 |
transcript.whisperx[322].text |
所以你們在考量上如果沒那麼急迫狀況下你們會採用簽約是不是但是如果在比較急迫搶蛋的同時的時候你們會採用誰有現貨能夠買斷就直接做出來對 這個部分就是我們考量用合約還是用買斷的方式的其中之一啦因為合約的話就必須要有一個比較長期性的像2023那個專案進口的時候我們希望有一個比較長期性能穩定供應的那2011年的時候 |
transcript.whisperx[323].start |
8757.022 |
transcript.whisperx[323].end |
8772.841 |
transcript.whisperx[323].text |
⋯⋯⋯ |
transcript.whisperx[324].start |
8776.426 |
transcript.whisperx[324].end |
8790.523 |
transcript.whisperx[324].text |
從去年8月一直要提到現在已經快了一年的時間了內部也做了相關的調查 部長就你的調查了解到底裡面有沒有涉及到違法的事項我想基本上我們看到的情證調查的結果他有非常 |
transcript.whisperx[325].start |
8791.144 |
transcript.whisperx[325].end |
8806.295 |
transcript.whisperx[325].text |
有一些續產會那邊在整個基站的處理過程中有一些形成的一個一個瑕疵跟疏失有檢討的空間那我舉個例子就像我們看到了就是他沒有依照政府採購法去做的部分您講的是倉儲跟運輸這個對倉儲跟運輸的部分對 |
transcript.whisperx[326].start |
8808.396 |
transcript.whisperx[326].end |
8810.158 |
transcript.whisperx[326].text |
那這些部分檢調有沒有介入在做調查的? |
transcript.whisperx[327].start |
8826.215 |
transcript.whisperx[327].end |
8852.761 |
transcript.whisperx[327].text |
我想我們看到的就是我們沒有辦法去很清楚釐清的就是我們與區長會的部分是貨到付款很單純可是我們也看到了部分的那個雞蛋齁亮彩跟超私有私人的這些司法人的一個關係的一個貿易關係那這個關係我們已經以農業部督導的角色什麼時候移送的?我們大概是五月底六月初的時候 |
transcript.whisperx[328].start |
8854.001 |
transcript.whisperx[328].end |
8876.167 |
transcript.whisperx[328].text |
我希望這些部分盡快的把它釐清好不好但是所有的相關政府部門的所以作為其實還是如果有任何指控是不實的部分我還希望部長要強力的去捍衛了因為這些有很多是政策性的因素那政策上當時在缺單還是要大家很多真心當然如果裡面有任何不法那當然司法該怎麼辦怎麼辦但是如果沒有涉及的部分也要還給這些同仁們清白 |
transcript.whisperx[329].start |
8876.547 |
transcript.whisperx[329].end |
8877.468 |
transcript.whisperx[329].text |
接下來我們請賴會員委員請做詢談 謝謝 |
transcript.whisperx[330].start |
8902.437 |
transcript.whisperx[330].end |
8926.635 |
transcript.whisperx[330].text |
謝謝主席 有請部長跟畜牧師師長 我們請其他兩位 謝謝部長我延續就是剛剛賴瑞隆委員對於就是說在111年到112年這個蛋的一個問題當然就是說黃國昌委員他是用日本的一個規格的方式 |
transcript.whisperx[331].start |
8927.315 |
transcript.whisperx[331].end |
8927.335 |
transcript.whisperx[331].text |
委員會議員 |
transcript.whisperx[332].start |
8946.562 |
transcript.whisperx[332].end |
8949.363 |
transcript.whisperx[332].text |
在這裏我要特別那個剛才那個我們蔡英主席有講到說那個蛋生產過剩的時候可以拿去吃嗎? |
transcript.whisperx[333].start |
8976.836 |
transcript.whisperx[333].end |
8990.708 |
transcript.whisperx[333].text |
現在是沒有這樣的一個做法那之前112年那個是報廢蛋我們再去做成飼料做成堆肥啦對所以說你要做成蛋粉嘛這個蛋粉的成本是非常高的嘛是不是這樣子那個市長 |
transcript.whisperx[334].start |
8993.157 |
transcript.whisperx[334].end |
9007.883 |
transcript.whisperx[334].text |
是不是這樣子呢?報告委員沒錯,因為蛋粉的成本大概會遠高於蛋的價值好幾倍好,那我想就是說在整個就是111年到112年的這個採滿這個蛋的時候有行政上的一個瑕疵 |
transcript.whisperx[335].start |
9008.703 |
transcript.whisperx[335].end |
9034.591 |
transcript.whisperx[335].text |
可是這個續產會上面就是說我們當然就是說很多委員都講得非常清楚了可是我在這裡因為本席來自於一個農業的選區所以農業的問題對我來講非常非常的一個重要所以專案進口的一個蛋起因就是因為缺蛋可是在生產過剩的時候我們的老母雞就是也不見得全面的一個淘汰那就是說這個產銷 |
transcript.whisperx[336].start |
9036.451 |
transcript.whisperx[336].end |
9064.242 |
transcript.whisperx[336].text |
施衡、調解沒有辦法有一個一致的章節的時候缺氮、聖氮成為一個惡性的一個循環在這裡我要特別跟我們的部長就是說做一個建議啦光是就是雞舍的一個升級老母雞的一個淘汰還是消費量的一個降低這些元素其實都是在我們的檢討範圍裡頭所以我覺得這個是我們必須要有一套比較完整的一個策略 |
transcript.whisperx[337].start |
9065.703 |
transcript.whisperx[337].end |
9082.509 |
transcript.whisperx[337].text |
接著我要跟你講到了是一個飼料的一個問題我們知道就是說所有的群序所有他們吃的90%甚至也超過以90%就是來自於薏米還有就是那個薏米跟那個黃豆 |
transcript.whisperx[338].start |
9083.189 |
transcript.whisperx[338].end |
9096.383 |
transcript.whisperx[338].text |
那這一些產區全部我們都是仰賴進口的那萬一就是在禽流感就是禽流感整個封港的時候像這樣的一個狀況的時候我們有沒有什麼替代的方式呢 |
transcript.whisperx[339].start |
9097.598 |
transcript.whisperx[339].end |
9123.582 |
transcript.whisperx[339].text |
我想第一個部分就是飼料我們沒有錯就是我們從國外進口但是我們現在是用條件關稅的方式去處理那我們也希望說條件關稅能夠反映反映到反映給農民這是一件事情那第二件事情就是說我們現在目前的這些玉米飼料如果沒有的話我們還有一些其他的一些用米的方式像雞的部分也可以用產米的部分去做一個飼料的處理 |
transcript.whisperx[340].start |
9124.062 |
transcript.whisperx[340].end |
9144.203 |
transcript.whisperx[340].text |
我跟您說部長你用稅米你用公糧這些其實價格都太高了量也少顯然這一個方式還應該是第二順位的方式有沒有第一順位積極的一個方式呢還有本席在這裡還要跟你再探討一個農業相關就是相關的一個業務各 |
transcript.whisperx[341].start |
9145.945 |
transcript.whisperx[341].end |
9146.506 |
transcript.whisperx[341].text |
續產會90%是靠農業部來補助的7百人 |
transcript.whisperx[342].start |
9167.443 |
transcript.whisperx[342].end |
9168.264 |
transcript.whisperx[342].text |
國內的一個那個敘述的一個產業的一個問題的研究 |
transcript.whisperx[343].start |
9190.999 |
transcript.whisperx[343].end |
9206.341 |
transcript.whisperx[343].text |
那其實在這裡這些單位你應該要調整我剛才還跟中加兵委員講我說我們看到了你對農業的一個專業的一個精闢的掌握這個是非常重要的 |
transcript.whisperx[344].start |
9206.821 |
transcript.whisperx[344].end |
9229.43 |
transcript.whisperx[344].text |
那在這個階段裡頭有沒有辦法就是說讓畜牧業務回歸到公務體系然後你好督導你好指揮然後可以提出這樣的一個效能這個是本期在長期就是觀察到就是我們整體的一個畜牧的一個問題就整體台灣的一個畜牧的問題所以部長你覺得呢 |
transcript.whisperx[345].start |
9230.35 |
transcript.whisperx[345].end |
9254.271 |
transcript.whisperx[345].text |
我非常謝謝委員的這樣的一個建議其實這個建議我們在我們組織改造的過程中也被討論但是因為牽涉到總原額法還有它的機關的三級機關的單位來講已經滿額了但是現在沒有辦法直接把續展會納入公務體系但是一個非常重要的就是我會去強調強化整個續展會的管理系統我覺得它的管理系統有非常非常大的 |
transcript.whisperx[346].start |
9254.912 |
transcript.whisperx[346].end |
9255.132 |
transcript.whisperx[346].text |
我講的應該還有一些 |
transcript.whisperx[347].start |
9277.732 |
transcript.whisperx[347].end |
9278.753 |
transcript.whisperx[347].text |
參考的價值。對,絕對有,絕對有,謝謝你,謝謝。 |
transcript.whisperx[348].start |
9306.035 |
transcript.whisperx[348].end |
9310.498 |
transcript.whisperx[348].text |
我們是不是請農業部我們部長我們再請陳部長部長這個 |
transcript.whisperx[349].start |
9327.472 |
transcript.whisperx[349].end |
9345.499 |
transcript.whisperx[349].text |
在講農業缺工那現在事實上包括AI的一個興起那所以無人機大概也是變成一個未來農業缺工的一個利器之一所以在講農業缺工的時候當然現在我們知道從2019年就開始在推動這個無人機精準農業農噴應用的元年2019年那這個農噴也開始就有人在使用這個 |
transcript.whisperx[350].start |
9358.703 |
transcript.whisperx[350].end |
9383.603 |
transcript.whisperx[350].text |
這一個無人機的一個噴藥那這個無人機的噴藥勒事實上也是有一些狀況這個狀況就是說如果無人機勒去噴到旁邊的人還是去噴到人那他有怎樣的怎樣的一些規範嗎就是說你們對無人機的使用的這個規範 |
transcript.whisperx[351].start |
9385.926 |
transcript.whisperx[351].end |
9395.514 |
transcript.whisperx[351].text |
吳仁芝如果去噴一個戒病人的殘因為他沒像人家在排排農藥嘛對不對阿你現在吳仁芝去噴的時候阿去噴戒病人的殘 |
transcript.whisperx[352].start |
9399.281 |
transcript.whisperx[352].end |
9428.161 |
transcript.whisperx[352].text |
我們分兩個部分第一個部分就是說我們的無人機去噴到別人的船那有沒有負他的賠償責任這個現在要舉證的一個問題啦所以我們都因為通常無人機在飛如果隔壁田人在的話通常不會發生這種東西都是黑飛的啦都是一些黑飛的部分都要靠後段的這些去查證那如果查證屬實的時候第一個他違反了相關的規定他必須取得相關的證照才能飛而且飛的時候必須把他的航線上傳 |
transcript.whisperx[353].start |
9429.142 |
transcript.whisperx[353].end |
9433.23 |
transcript.whisperx[353].text |
我們可以用這個方式去處罰他但是對於他誤噴的這個部分因為現在舉證的問題會比較困擾 |
transcript.whisperx[354].start |
9437.947 |
transcript.whisperx[354].end |
9465.212 |
transcript.whisperx[354].text |
舉證問題啦當然這困難回到下一頁吼那所以無人機吼你們目前都是噴藥他是需要證件吼雙證照對然後你們是規定說一定要具有法人資格那法人資格的話就很多農民嘛吼他們是購買這個農用的無人機然後他是自然人所以他就是沒有辦法去取得這樣的 |
transcript.whisperx[355].start |
9467.076 |
transcript.whisperx[355].end |
9474.074 |
transcript.whisperx[355].text |
這樣接案的一個機會那所以你們認為這個法人資格是必要性的嗎還是說這個是可以作為一個檢討的 |
transcript.whisperx[356].start |
9475.609 |
transcript.whisperx[356].end |
9497.158 |
transcript.whisperx[356].text |
沒有,這一種法人的部分其實我們當初考量的是萬一有什麼問題的時候保險的部分然後也是一個過渡就是說我們希望在一開始的時候有一個法人能夠讓有飛手的有無人機的話能夠加入他只是一個加入的動作就可以了這樣未來在追蹤在管理會比較單純的不是由他自然能去處理 |
transcript.whisperx[357].start |
9498.759 |
transcript.whisperx[357].end |
9511.147 |
transcript.whisperx[357].text |
當初的設計是這樣子那後續如果說無人機越來越普遍的時候我們也會考慮說當我個人的時候是不是可以去做申請那這樣的一個法人比方說我是合作社我合作社可以嗎 |
transcript.whisperx[358].start |
9512.657 |
transcript.whisperx[358].end |
9536.397 |
transcript.whisperx[358].text |
可以,你要登記法人應該也可以我用合作社來申請然後合作社裡面的飛手只要他具有雙證照他就可以使用這個我們會重新充滿的檢討因為我們現在政策就是要推一鄉鎮的一個農事服務業那農事服務業有一個重要的就是無人機的朋友的部分所以這個部分我們會配套的去重新調整我們的遊戲規則 |
transcript.whisperx[359].start |
9537.458 |
transcript.whisperx[359].end |
9545.246 |
transcript.whisperx[359].text |
好,那如果有要調整的時候是不是還跟我們辦公室﹖會,我們一定會去救教育委員說明一下齁好,那在下一頁齁 |
transcript.whisperx[360].start |
9546.272 |
transcript.whisperx[360].end |
9575.627 |
transcript.whisperx[360].text |
那我們現在回到今天的主題是在講這個農業移工這一個缺工缺工的狀況那事實上農業是很特殊啦因為農業事實上柏中你已經很清楚了農業的缺工他是屬於季節性的缺工所以他變得說你除了是透過外展或者其他的媒合的一個平台你不然你在農業上你真正需要移工 |
transcript.whisperx[361].start |
9577.257 |
transcript.whisperx[361].end |
9598.773 |
transcript.whisperx[361].text |
真的符合的農業的品項不多可能在畜牧業或可能是蘭花他們是全年到當都有工作可是農業的話他就是季節性他就大開的時候需要他也燒開的時候就不需要移工所以對他來說這個移工是一個額外的成本 |
transcript.whisperx[362].start |
9599.293 |
transcript.whisperx[362].end |
9619.424 |
transcript.whisperx[362].text |
所以他們一定每個人大家都會將本求利所以變成說我去找合法的移工我身分太高那我當然大家都要找黑工去找這些逃逸的然後就變成說他在勞力的缺口上他需要的反而是類似這樣的逃逸外勞這個很矛盾 |
transcript.whisperx[363].start |
9620.804 |
transcript.whisperx[363].end |
9637.01 |
transcript.whisperx[363].text |
否則你們都沒有想要這個問題委員報告就是的確現在那種短時間季節性的缺工才是一個比較大的一個核心的問題所以我們在做那個移工外展的服務的時候假期都只有不能跨區現在可以跨區 |
transcript.whisperx[364].start |
9637.95 |
transcript.whisperx[364].end |
9637.97 |
transcript.whisperx[364].text |
部長! |
transcript.whisperx[365].start |
9652.807 |
transcript.whisperx[365].end |
9668.736 |
transcript.whisperx[365].text |
可是外展我們也推了4年多了吧可是你們發現說事實上真正在用外展的還是我剛剛講的可能是在畜牧業還是比較還是比較集中型的產業就是說他的工作是比較他去用外展農糧的應該也有啊農糧的相對的跟其他當然畜牧還是比較多啦變成說 |
transcript.whisperx[366].start |
9678.662 |
transcript.whisperx[366].end |
9701.446 |
transcript.whisperx[366].text |
其中我剛剛講的季節性缺工的再用外展的他用這樣媒合的相對還是很困難所以部長我具體建議啦你們思考看看啦就是說以農業來說農業可不可以因為他的特殊性然後我們讓外勞是可以兼職的目前外勞是不是只能做一份工作 |
transcript.whisperx[367].start |
9703.041 |
transcript.whisperx[367].end |
9722.044 |
transcript.whisperx[367].text |
不管是哪一種外勞可能是工廠的或者是勞動契約透過勞動契約去限制對阿所以我們如果針對農業你可以同意讓外勞他是兼職然後就是在做農業你的問題都解決了捏 |
transcript.whisperx[368].start |
9723.39 |
transcript.whisperx[368].end |
9748.186 |
transcript.whisperx[368].text |
部長你懂我的意思嗎?比方說我是在做家庭照顧的外勞那如果我在農業缺工的這段時間 類似外財 讓他們去登記 讓他們兼職不要說他就去討食工作 然後就被抓到 就要被送回去你只要外勞可以兼職 可以讓他工作之餘可以去選擇做什麼工作 |
transcript.whisperx[369].start |
9750.383 |
transcript.whisperx[369].end |
9756.844 |
transcript.whisperx[369].text |
阿就單農業這一下我們不要把它開放到其他的工業那裡因為農業它就是一個很特別的阿 |
transcript.whisperx[370].start |
9758.133 |
transcript.whisperx[370].end |
9781.68 |
transcript.whisperx[370].text |
你只要讓他兼職,那些律師都沒必要啦,他就乖乖的,乖乖的,要照顧,要做長照啊,還是要照顧的,他就乖乖的。但是他啊,時間最長的出來的,讓他去兼職,讓他去去產林去那裡倒烤草,去產林去那裡烤粿啊,這樣怎麼有什麼不對? |
transcript.whisperx[371].start |
9784.104 |
transcript.whisperx[371].end |
9806.105 |
transcript.whisperx[371].text |
我覺得你這個想法的確可以解決非常多的問題但是這牽涉到勞動法規的一個限制我會跟勞動部講就是說我們農業為什麼未老是沒有辦法解目前的外產或者是我們現在你開放移工可是這些移工他賣掉他都會變成他都會逃走 |
transcript.whisperx[372].start |
9807.593 |
transcript.whisperx[372].end |
9819.281 |
transcript.whisperx[372].text |
他都會跑去 然後後來你看到事實上吼我們是大家心照不宣吶 很多農業他會吹的那些火辣都黑金啦 都頭衣外套啦 |
transcript.whisperx[373].start |
9821.271 |
transcript.whisperx[373].end |
9821.732 |
transcript.whisperx[373].text |
來稍微講一下就好 |
transcript.whisperx[374].start |
9849.147 |
transcript.whisperx[374].end |
9852.674 |
transcript.whisperx[374].text |
主席再給我30秒就好我剛剛講的都有聽到嘛 |
transcript.whisperx[375].start |
9855.188 |
transcript.whisperx[375].end |
9878.994 |
transcript.whisperx[375].text |
謝謝委員的指教這個部分在就業服務法裡面目前針對這種攔領的移工我們是考慮到說他有生活管理的責任的問題所以目前是一個移工一個雇主所以這個部分如果要放寬讓他可以兼職的話就會衍生他在兼職的過程當中會有他的生活管理包括職災的發生或者是逃逸的責任的歸屬這個都是細部問題啊對所以那個部分可能這個問題就是拿出來檢討就好了啊就是說他 |
transcript.whisperx[376].start |
9881.395 |
transcript.whisperx[376].end |
9904.983 |
transcript.whisperx[376].text |
做登記,類似外展的一個登記,登記完後他在兼職工作的時候責任由第二個僱主來負擔。這個部分可能還在需要演繹,包括我們的...沒關係,我是覺得你要演繹這個啦。你第一你一定要改觀,不要讓外流都是偷走的,都是偷移外流,這第一你一定要改觀。第二你一定要改觀農業缺工的問題。農業這種季節先缺工這沒辦法。 |
transcript.whisperx[377].start |
9909.197 |
transcript.whisperx[377].end |
9934.556 |
transcript.whisperx[377].text |
他就是長這個樣子所以你們勞動部一定要去想辦法我們會跨部會一起來努力好不好好謝謝好謝謝接下來我們請鍾嘉斌委員請做詢談來謝謝主席在場的委員先進列席的政府機關首長官員會長工作夥伴媒體記者女士先生我們有請陳部長 |
transcript.whisperx[378].start |
9937.113 |
transcript.whisperx[378].end |
9960.362 |
transcript.whisperx[378].text |
我們再請陳部長還有農副司的陳司長 農糧署的蘇代理署長好 以上二位一併來 委員長部長好 市長好 署長好部長 過去強弱的時候 我們是不是協調我們的國軍 弟兄 少吃蛋 改用其他蛋白質 |
transcript.whisperx[379].start |
9963.439 |
transcript.whisperx[379].end |
9989.134 |
transcript.whisperx[379].text |
現在我們蛋很多可不可以協調國防部請我們國軍兄多吃蛋我想我們已經發文就是請我們的因為蛋有非常好的蛋白質然後一天吃兩顆蛋也不會因為這樣子而有一些膽固醇現在是蛋太多跟缺蛋多我們反過來操作第二個問題可能署長或市長這邊想一下那天請教你雷鳳的問題 |
transcript.whisperx[380].start |
9991.167 |
transcript.whisperx[380].end |
10010.578 |
transcript.whisperx[380].text |
你也好好關心,請附宿長去了解那我現在發現檸檬的問題主要是一個產銷的問題啦就是說對於因為檸檬它是加價的嘛所以它的用藥殘留很嚴格那我知道呢對於彼此互相用藥最關心的就是什麼? |
transcript.whisperx[381].start |
10010.578 |
transcript.whisperx[381].end |
10017.642 |
transcript.whisperx[381].text |
酪農啦因為酪農喔,他們不可能一台輪車,欸是集乳車啦不是那個輪車喔不要聽錯了齁 |
transcript.whisperx[382].start |
10019.179 |
transcript.whisperx[382].end |
10043.05 |
transcript.whisperx[382].text |
一輪車是一台車要塞整輪的木頭所以說只要一個牧場有牛生病打了抗生素驗出來整個所有的木頭都知道用了所以互相他們彼此之間對彼此顧慮到別人的乳品不要被污染他們對自己的牛吃的管理健康管理很重視不會害到別人你聽懂意思嗎?相信說這雷夢的事情是假的 |
transcript.whisperx[383].start |
10044.531 |
transcript.whisperx[383].end |
10045.292 |
transcript.whisperx[383].text |
我請問你 你是不是農家主帝? |
transcript.whisperx[384].start |
10072.964 |
transcript.whisperx[384].end |
10074.365 |
transcript.whisperx[384].text |
我這邊創造一個叫做農業學工啦 |
transcript.whisperx[385].start |
10098.683 |
transcript.whisperx[385].end |
10121.869 |
transcript.whisperx[385].text |
農忙、下田、農閒、上學啊,你有沒有聽過建教合作以前他叫施謙是在擱金?有有高職的建教合作只有暑假才去上工嗎?不是,它是整個的工廠的工班跟他們的學期把它分開來工廠不忙的時候學校幫他們安排課程,這樣了解了齁?對我現在開始詢問了,來我們從業人口要跌破50萬,那怎麼辦?是不是你們就要移工,是不是這樣? |
transcript.whisperx[386].start |
10123.11 |
transcript.whisperx[386].end |
10147.88 |
transcript.whisperx[386].text |
我講從業林口本身50.9萬基本上我們覺得他從主力的農家來講他應該還有機會少一點然後更精準所以不是量的問題是質的問題我同意好了我們看剛才都問農業的移工有長期的移工長期的缺工跟季節性的缺工你說有自行聘僱跟外展服務你知道為什麼外展服務不好用嗎?市長有什麼好用?市長你說我常常問你啊有什麼好用? |
transcript.whisperx[387].start |
10150.407 |
transcript.whisperx[387].end |
10159.077 |
transcript.whisperx[387].text |
大概在外展的話,因為他...我農會要有很多人,我知道他一定會受害嘛。農會喔,他原來有很多啦,所以說他...不管你說經濟很多啦。啊,我們經濟多,他就派調動,這裡站兩個站三個敲八八,農忙的時候敲八八,農閒的時候沒回去,是不是這樣? |
transcript.whisperx[388].start |
10169.89 |
transcript.whisperx[388].end |
10173.153 |
transcript.whisperx[388].text |
所以我們來看一看你知道教育部過去有建教合作現在有產學攜手嗎? |
transcript.whisperx[389].start |
10193.82 |
transcript.whisperx[389].end |
10215.2 |
transcript.whisperx[389].text |
你知道有沒有辦新南向的這個合作班?這個之前我們特別是在印尼菲律賓的部分,成交非常好我跟你講,一樣遇到跟那個外展一樣,因為那個特大學的,他在這特大學,學期是固定的 |
transcript.whisperx[390].start |
10216.041 |
transcript.whisperx[390].end |
10234.389 |
transcript.whisperx[390].text |
所以說他們在用上課之餘去實習不見得農家好用目前比較好用的就是畜牧業 因為是有的 那些在那裡做工的 每天的 往下看所以我現在是說 讓你回憶一下高職的以前的建交合作 如果說我們從高職 現在有個3加4 有沒有聽過3加4 |
transcript.whisperx[391].start |
10238.651 |
transcript.whisperx[391].end |
10255.517 |
transcript.whisperx[391].text |
再三天、四天、七天、十六天就來台灣.可以參加這項在他執政時的類似建交合作.他生課大後.他可以好好配合.他的農盲去挑戰他的上課時間.了解意思嗎? |
transcript.whisperx[392].start |
10255.517 |
transcript.whisperx[392].end |
10263.599 |
transcript.whisperx[392].text |
了解了解,我們看一下.所以說我們希望你去思考一下.不要只從外籍移工來思考.不要讓勞動部覺得很麻煩.廠工啊. |
transcript.whisperx[393].start |
10265.64 |
transcript.whisperx[393].end |
10280.712 |
transcript.whisperx[393].text |
我不是東廠的那個工喔 是廠工 廣場的廠工 因為其實都是什麼 都是操時工作啦 早上5點去餵米糧啦 8點去上班啦 5點下班後就來偷走啦 其實還要當部門的同意啦 |
transcript.whisperx[394].start |
10284.513 |
transcript.whisperx[394].end |
10301.958 |
transcript.whisperx[394].text |
但是學生不同學生農業學工他來這邊求學位他花六七年的時間學校安排他的學習農忙下田農閒上課你覺得可不可以考慮我覺得可以考慮他們在暑假的時候不是暑假他們的寒暑假 |
transcript.whisperx[395].start |
10302.338 |
transcript.whisperx[395].end |
10325.645 |
transcript.whisperx[395].text |
不是根據學校的作息是根據農業的需求來調整因為是專班你覺得可沒有可能我覺得可以去考慮我覺得這個部分特別是未來去培養他們變成農業的經營者是一個非常重要的因為他們對於馬來、對於印尼他們很多人我們要學習就是要等於大家做老闆、大家開房子、開房子所以我這個事情要請教你覺得教育部會不會支持 |
transcript.whisperx[396].start |
10326.499 |
transcript.whisperx[396].end |
10352.964 |
transcript.whisperx[396].text |
就是說特別的專班他的上課時間是配合農閒的時間來上課農盲讓他們下田實習你認為有沒有可能我覺得這個要去談細節然後有願意有學校願意把他的課程跟農盲做配合對這個部分你們在講史崗委員來說明清楚是不是你同意跟教育部研究新來的專班我覺得一定會跟他們去討論好不好如果可以的話我們一定往前走主席也支持啦這樣請兩個部長去參詳啦我就問到這裡好不好好謝謝謝謝主席謝謝部長 |
transcript.whisperx[397].start |
10371.897 |
transcript.whisperx[397].end |
10375.379 |
transcript.whisperx[397].text |
主席謝謝我想請部長我們再請陳部長部長早安 |
transcript.whisperx[398].start |
10403.962 |
transcript.whisperx[398].end |
10425.49 |
transcript.whisperx[398].text |
農業移工的問題我想大家都非常的關心尤其我們雲林縣我每一次跟我們的農民在對話他們都告訴我說真的非常需要農業移工而且呢他們其實合法的管道對於他們來說非常的困難完全是緩不濟急為什麼會有這樣子的狀況呢部長 |
transcript.whisperx[399].start |
10426.85 |
transcript.whisperx[399].end |
10447.931 |
transcript.whisperx[399].text |
我想分為兩個層次就是說現在的移工本身有一部分是他本身的規模比較大的大農場但是他的合配比比較高所以他沒有辦法請到那另外一部分就是他想要請外籍移工但是他的規模沒到到那邊所以我們根據這個已經降低了相關準備降低他的相關門檻 |
transcript.whisperx[400].start |
10448.812 |
transcript.whisperx[400].end |
10465.432 |
transcript.whisperx[400].text |
是部長我希望說我們可以更彈性一點就是更彈性一點讓真正缺工的這些農民可以請到移工否則你可以看我們臺灣的這個農業就業人口比10年前下降了7個百分點 |
transcript.whisperx[401].start |
10466.273 |
transcript.whisperx[401].end |
10471.7 |
transcript.whisperx[401].text |
這個百分點就是說可能是務農賺不到錢或者是他們明明賺得到錢但工人不足導致他們沒辦法順利的獲利所以這個我覺得說可以說是農業部就是照顧農民就是農業部的天職 |
transcript.whisperx[402].start |
10483.174 |
transcript.whisperx[402].end |
10495.941 |
transcript.whisperx[402].text |
所以這個部分希望部長可以重視說我們農業的人口一直下降這也代表著農業部越來越不重要你知道嗎所以我也希望說我們可以好好照顧農民讓農民賺得到錢那這樣子農民的 |
transcript.whisperx[403].start |
10498.562 |
transcript.whisperx[403].end |
10500.083 |
transcript.whisperx[403].text |
現在目前8505人大概70%那我們估計到年底就會額滿 |
transcript.whisperx[404].start |
10528.063 |
transcript.whisperx[404].end |
10557.663 |
transcript.whisperx[404].text |
那明明我們農業很缺工為什麼這個原額沒有額滿為什麼呢?這個簽得到相關的一個申請的他們有的在申請程序就是我想要講的就是說現在農業移工的合配比率還是非常的嚴苛10人以下的農民或團體一個本勞只能配一個外勞如果是10人以上的農民團體只能占全部的四成以下現在農民本來都請不到了你設這個限制他如何一比一 |
transcript.whisperx[405].start |
10560.265 |
transcript.whisperx[405].end |
10581.12 |
transcript.whisperx[405].text |
這個合配比的部分是勞動部的一個規劃那我們會積極的去爭取包括我剛才說的我先處理10人以上的35%我希望說能夠朝向1比1的方式就是說沒有必要鎖定1比1啊就是這樣子的話變成是他本勞都請不到他外勞更請不到你等於鎖死了他所有的機會啊 |
transcript.whisperx[406].start |
10583.121 |
transcript.whisperx[406].end |
10592.027 |
transcript.whisperx[406].text |
我是希望說你們跟勞動部可以趕快妥善的一起研議啊那如果說是不是有辦法說你如果一比一假設他只有一個農民對一個一個外勞他們兩個溝通不了你有辦法成立類似小團體他外勞團體他可以輪著去不同的農場我覺得這也是一個可行的這個就是我們以農會為核心的就是 |
transcript.whisperx[407].start |
10605.876 |
transcript.whisperx[407].end |
10614.405 |
transcript.whisperx[407].text |
但是你農會你也設定了很多的一個比例讓他沒有辦法好好的去申請我提醒部長一件事情日本跟我們一樣他們現在邁向高齡少子化的社會他們的農業跟我們一樣也缺工 |
transcript.whisperx[408].start |
10620.251 |
transcript.whisperx[408].end |
10639.549 |
transcript.whisperx[408].text |
所以呢他們現在要鬆綁外籍移工的法規限制而且可以領到假設他們領到日本特定技能勞工第二類的身份就可以申請無限期延長簽證可以攜帶家屬同行之外最終得以申請 |
transcript.whisperx[409].start |
10640.45 |
transcript.whisperx[409].end |
10641.39 |
transcript.whisperx[409].text |
您剛才講日本人的案例據我了解其實勞動部也 |
transcript.whisperx[410].start |
10665.88 |
transcript.whisperx[410].end |
10666.04 |
transcript.whisperx[410].text |
拜訪農業部長 |
transcript.whisperx[411].start |
10686.906 |
transcript.whisperx[411].end |
10687.086 |
transcript.whisperx[411].text |
我們會來努力 |
transcript.whisperx[412].start |
10705.382 |
transcript.whisperx[412].end |
10726.839 |
transcript.whisperx[412].text |
另外這個是從今天早上到現在大家都想知道的請問部長取得中央續產會2022年8月採購日本雞蛋的合約公司到底是哪一家公司我想以續產會來講就是是不是量財我們是採貨到付款我先問你嘛我說是不是量財量財我了解是量財進口雞蛋 |
transcript.whisperx[413].start |
10732.076 |
transcript.whisperx[413].end |
10752.582 |
transcript.whisperx[413].text |
那我想要知道說量彩是一個依美生物科技人力仲介的這樣子資本額只有100萬的公司為什麼當初量彩可以拿到合約呢?第一個因為這件事情我稍微問了我們同仁基本上的營業項目是符合的第一個營業項目是符合的第二個我剛才說的我們在當初 |
transcript.whisperx[414].start |
10753.802 |
transcript.whisperx[414].end |
10760.009 |
transcript.whisperx[414].text |
緊急的狀況之下需要彈的話只要你有能力拿到日本彈我可以再問一下部長就是說那為什麼童年付款的對象卻變成是超市呢到底是跟誰簽約給誰輸入許可應該就是要付錢給誰為什麼他們 |
transcript.whisperx[415].start |
10770.359 |
transcript.whisperx[415].end |
10770.819 |
transcript.whisperx[415].text |
9月付款給操司是簽約還是買斷? |
transcript.whisperx[416].start |
10796.144 |
transcript.whisperx[416].end |
10807.351 |
transcript.whisperx[416].text |
在4月以後幾乎都是買斷的方式 4月以後沒有 4月以後都是買斷的方式 我就是問你你確認說9月付款給超市是簽約還是買斷?不知道 因為都是買斷的 那亮采原本的約有沒有履約?亮采的約是到4月 4月之前都有履約啊 所以你確定亮采有履約? |
transcript.whisperx[417].start |
10824.169 |
transcript.whisperx[417].end |
10826.572 |
transcript.whisperx[417].text |
我問你他有沒有履約?所以應該是沒有問題啊? |
transcript.whisperx[418].start |
10843.544 |
transcript.whisperx[418].end |
10845.125 |
transcript.whisperx[418].text |
所以這個最匪夷所思的是如果照你這樣講 量產也沒有問題 超市也沒有問題啊 |
transcript.whisperx[419].start |
10862.278 |
transcript.whisperx[419].end |
10871.22 |
transcript.whisperx[419].text |
所以如果都沒有問題的話為什麼要移送減掉?因為你有移送就是有問題嘛你自己也覺得有問題啊移送不代表有問題移送是希望把這個事情做一個釐清 |
transcript.whisperx[420].start |
10883.8 |
transcript.whisperx[420].end |
10889.768 |
transcript.whisperx[420].text |
所以你自己內部都沒辦法釐清你是付錢的人你沒辦法釐清我們沒有問題你付錢給誰你不知道續產會絕對沒問題因為絕對沒問題你現在敢掛保證嗎你敢幫續產會保證嗎我跟你說你這個太嚴重了喔你要幫他保證的話就嚴重了喔 |
transcript.whisperx[421].start |
10902.703 |
transcript.whisperx[421].end |
10909.847 |
transcript.whisperx[421].text |
這個程序都沒問題 貨到付款 他拿到貨了 然後付錢就沒問題 那我跟請教部長 農業部這個補助續產會 冷藏倉儲租金1165萬 跟雞蛋的托運費295萬 總共1460萬 |
transcript.whisperx[422].start |
10922.365 |
transcript.whisperx[422].end |
10925.328 |
transcript.whisperx[422].text |
結果續產會實際核銷只有723萬所以可以就是追繳回50%的補助款對不對 |
transcript.whisperx[423].start |
10934.239 |
transcript.whisperx[423].end |
10952.804 |
transcript.whisperx[423].text |
對,因為這邊講的一些1165跟295是計劃當初核定的,但是最後實際的核銷...那他有繳回嗎?我們在當初口頭的時候已經說要繳回,現在在做行政程序所以他到現在都還沒有繳回?那個是一個行政程序在過...所以到現在都還沒有繳回?對,他們會繳回,但是現在在行政程序當中 |
transcript.whisperx[424].start |
10953.744 |
transcript.whisperx[424].end |
10968.184 |
transcript.whisperx[424].text |
我我我就是一個結論啊就是政府的錢幾億元都可以給沒有簽約的公司幾百萬的補助費給的也很隨便農業部到底是出了什麼問題我覺得這一點部長你一定要 |
transcript.whisperx[425].start |
10969.165 |
transcript.whisperx[425].end |
10970.906 |
transcript.whisperx[425].text |
接下來我們請張旗開委員請做巡檔 |
transcript.whisperx[426].start |
11003.464 |
transcript.whisperx[426].end |
11006.125 |
transcript.whisperx[426].text |
最近雞蛋盛產我們的蛋籠跟蛋商都很慘可是我沒想到的是 |
transcript.whisperx[427].start |
11031.263 |
transcript.whisperx[427].end |
11055.766 |
transcript.whisperx[427].text |
最近中央市場會還倒蛋還倒貨進我們的這個市場不是應該減少這個蛋的量嗎怎麼中央市場會還火上加油呢這裡面出了至少有三大的衝擊第一有沒有衝擊影響到我們蛋農的生計第二破壞了你農業部最重要的任務產銷的平衡第三個可能也會出現的 |
transcript.whisperx[428].start |
11056.96 |
transcript.whisperx[428].end |
11082.685 |
transcript.whisperx[428].text |
已經要釋出的是去年過期的蛋或者即將過期的蛋等一下這部分我沒有好好談我有數據給你看有沒有過期的蛋或即將過期的蛋吃到我們的肚子我畫一個問號等一下我們來談來這三部分我先問你部長這次產銷失衡就是蛋太多嘛對不對你的任務跟中央稀產會的任務一個是煮雞蛋鹹炒結果為什麼 |
transcript.whisperx[429].start |
11086.277 |
transcript.whisperx[429].end |
11109.441 |
transcript.whisperx[429].text |
反而中央市場會為今年5月17日開始:到現在已經5梯次公開飆搜彈兩天太多了你再倒兩下去火上加油我算起來錢一彈加上蛋黃一彈茶葉一彈滷蛋你如果算是用顆的這個顆量大概已經倒進市場兩千兩百多萬顆 |
transcript.whisperx[430].start |
11115.801 |
transcript.whisperx[430].end |
11135.197 |
transcript.whisperx[430].text |
這個會不會太離譜了?你要解決問題的人 接著我去製造問題這台灣會覺得什麼?生雞兩個沒有 又半雞三個有是不是?如果從行政學上去看是什麼?行政管理上是什麼?失職、失能、又失德有些農民都已經氣到 講一句話我先抱歉講很夭壽的你沒有解決問題 你從市長會 這時候會倒貨進去現在畫面 你想像那兩個畫面單車 |
transcript.whisperx[431].start |
11143.975 |
transcript.whisperx[431].end |
11172.916 |
transcript.whisperx[431].text |
兩天買起來的錢都沒夠啊弄到後來前幾天有那麼多媒體都報導那個畫面大家想一下有些為了要減少蛋再進到市場欸 拿去吃爹欸就是要減少他的量啊結果你想像這邊 欸都多心疼的事情結果你想像這邊的畫面是什麼中央市場會 五月十七開始你要倒到市場裡面倒了2200多萬顆蛋進去這人民不會憤怒嗎求我們善良的農民是不是 |
transcript.whisperx[432].start |
11175.25 |
transcript.whisperx[432].end |
11181.498 |
transcript.whisperx[432].text |
市長,這個中央市長會到底在幹嘛?因為台灣人民有跟我問題嗎?他反而製造了問題欸! |
transcript.whisperx[433].start |
11182.782 |
transcript.whisperx[433].end |
11182.942 |
transcript.whisperx[433].text |
是否這樣? |
transcript.whisperx[434].start |
11213.422 |
transcript.whisperx[434].end |
11234.41 |
transcript.whisperx[434].text |
現在是產量過剩喔!要減少喔!中華稀產會現在不只沒有減少喔!他還倒貨進來喔!你贊成他這樣做是不是?不是我贊成這樣做喔!這個是在產價調節的一個環喔!因為這些進口加工...調節!調節是應該減少他的量!讓價格回升啊!倒貨不是價格越來越高?你怎麼會?你這是火上加油!怎麼會是解決問題? |
transcript.whisperx[435].start |
11235.47 |
transcript.whisperx[435].end |
11236.01 |
transcript.whisperx[435].text |
我還需要去吃一個雞蛋嗎? |
transcript.whisperx[436].start |
11264.687 |
transcript.whisperx[436].end |
11289.887 |
transcript.whisperx[436].text |
不是不是,那個液彈是...對阿,你現在紫外,我跟你說,你現在沒對,你現在為了機能生鮮的可能要壞掉了你故意,你現在就必須要把它變成加工嘛,對不對我現在所有的資料都是從中央續產會的進口彈的這個加工品專區拖出來的東西去年快過期了,或者我甚至擔心有沒有過期問題,就是沒有過期,也即將過期,對不對為了要保存多一點點,所以要把它打成液彈嘛 |
transcript.whisperx[437].start |
11290.848 |
transcript.whisperx[437].end |
11315.576 |
transcript.whisperx[437].text |
那你應該是去年賣阿 或者是雞蛋少的時候賣阿因為你現在找雞蛋太多 太多的時候你又把蛋丟進去勒我沒有這種離譜的 那你剛講的 你說兩個有不一樣嗎他都是蛋阿 我只有吃了一蛋你今天試出來不是 聽我說喔 你今天試出來不是只有一蛋喔你還試出了茶葉蛋跟滷蛋 我今天我要吃一顆 茶葉蛋吃一顆 |
transcript.whisperx[438].start |
11317.236 |
transcript.whisperx[438].end |
11318.456 |
transcript.whisperx[438].text |
你這麼專業的人你應該是有專業的你是有知識沒有常識嗎? |
transcript.whisperx[439].start |
11346.004 |
transcript.whisperx[439].end |
11370.092 |
transcript.whisperx[439].text |
你明明那個市場就過多了,價格已經跌成這樣,你量這邊加進去,你還在幫他辨護?沒有,不是,我是說整個雞蛋本身的...你是有專念,你是有資格,可是我剛剛講的是不是一個常識問題啊?對,這個部分就是...你為什麼你的農業部的功能是什麼?產跟消要平衡對不對?那產就已經生產過剩啊,啊你還把東西加進去,過剩什麼叫做平衡?太多的東西要變少對不對? |
transcript.whisperx[440].start |
11371.744 |
transcript.whisperx[440].end |
11376.127 |
transcript.whisperx[440].text |
我問一個更嚴重的你目前已經丟了2200多萬個進去的我去看你去年給我的資料我看一下你加起來一共還有 |
transcript.whisperx[441].start |
11398.761 |
transcript.whisperx[441].end |
11404.223 |
transcript.whisperx[441].text |
我想我們會基於他們的專業的判斷,會去調整他們釋出的時間點。欸,保證,保證,農民已經氣到不知道,不是給他憤怒而已喔。 |
transcript.whisperx[442].start |
11427.106 |
transcript.whisperx[442].end |
11444.932 |
transcript.whisperx[442].text |
施職施農已經要求說實在施得了人民現在能夠多憤怒能夠罵多重的話再想一想在施農的時候你為什麼倒這麼多蛋已經不對了你現在嘔氣了還事情發了我們一定會觀察他本身的一個產銷平衡狀態去決定他的調不然就去收債啊你要丟蛋進去好第二個 我知道你有做你的專業 |
transcript.whisperx[443].start |
11454.653 |
transcript.whisperx[443].end |
11474.905 |
transcript.whisperx[443].text |
人在公門 我一直在強調這件事 那公門好休閒 有腦袋之外拜託有一個心啦好不好 剛剛宗嘉濮議員 宗嘉濮立委 我覺得他的質詢很好啊 要說農就消費啊 拜託國賃 這營養的農可以加一塊 我覺得不管是哪一個黨 有心幫人民解決問題就是好立委 一樣啊 |
transcript.whisperx[444].start |
11476.055 |
transcript.whisperx[444].end |
11502.757 |
transcript.whisperx[444].text |
不是只有腦袋,有心,部長到目前大家對你評價不錯,你有心你就是一個好官員,你現在都沒有感受到那種痛嗎?你若是一個養雞戶,你是一個彈籠,是一個彈山,心裡是在糖血的,因為你看到有些對你這些問題我當然了解,我當然了解,我們會努力來做這個方面好不好,我提兩個,我們動動腦啦,我們用心跟用腦幫彈籠跟人民解決問題,第一 |
transcript.whisperx[445].start |
11504.713 |
transcript.whisperx[445].end |
11514.918 |
transcript.whisperx[445].text |
農產品太多的時候你都去補助了嘛 考慮一下怎麼去補助蛋農 特別是在飼料那一塊有沒有 休息了 你已經降低關稅了 想一下能不能再有一點補助這是一個 第二個更重要 你鼓你進口蛋進口太多對不對 你做了什麼動作 |
transcript.whisperx[446].start |
11533.166 |
transcript.whisperx[446].end |
11537.192 |
transcript.whisperx[446].text |
你不能用同樣的方法嗎?你叫國軍買伊丸,你跟我們農業部,你叫中央市政府買一些回來啊! |
transcript.whisperx[447].start |
11550.024 |
transcript.whisperx[447].end |
11562.752 |
transcript.whisperx[447].text |
買一些回來買完回來一樣一樣做成蛋液一樣做成滷蛋跟茶葉蛋以後需要再賣可以賣這個就是我我跟委員報告我們現在正在評估齁這就是我講的齁我們必須有一些國產蛋去做一個庫存緩衝的一個空間啦去做一個調配啦但是這個調配需要比較細緻的操作 |
transcript.whisperx[448].start |
11576.543 |
transcript.whisperx[448].end |
11597.783 |
transcript.whisperx[448].text |
其實你剛才主席剛才在對話我就聽了你說你現在要控制到一天就是2400萬顆嘛對不對?是目前其實為什麼過剩?接三十...三十二萬顆左右三十二萬顆的蛋出來嘛所以我就在想你又丟了2200萬顆好 那至少這個多出來的蛋你可以買啊 像去年一樣啊買完以後 它做成一袋它就有一年喔 |
transcript.whisperx[449].start |
11598.988 |
transcript.whisperx[449].end |
11622.747 |
transcript.whisperx[449].text |
對不對?你都可以幫外國,為什麼不能幫我們本國?好好想一下這個事,好不好?我了解,我們已經有在這樣一個規劃有規劃是不是?趕快做好不好?我這些量都可以講啦你現在目前你看,今年你買7千顆放在那裡嘛你至少今年你可以買我們本國的蛋啊,買7千顆一百那量就減少了嘛,就真的達到產銷平衡了嘛,對不對?7千顆沒有過期,你把它做成一蛋 |
transcript.whisperx[450].start |
11623.447 |
transcript.whisperx[450].end |
11647.629 |
transcript.whisperx[450].text |
做成茶葉蛋 每年你買一百到未來一年你隨時缺蛋你就放出去好不好 因為冬天需要量好 謝謝 所以抱歉 好消極麵我抱歉我講一下消極麵剩下你四千五百丁 不要再釋出了好不好 不要再到貨了這是消極麵 第二個積極麵 都知道講的 考慮一下補助 適量 讓我們的蛋籠 |
transcript.whisperx[451].start |
11648.581 |
transcript.whisperx[451].end |
11648.601 |
transcript.whisperx[451].text |
拜訪議員 |
transcript.whisperx[452].start |
11664.321 |
transcript.whisperx[452].end |
11677.548 |
transcript.whisperx[452].text |
期待是一個好的觀念好不好好 德佳好 謝謝那我們也請部長將你所謂的很細緻的這個方案競速提出然後送交給我們經濟委員會謝謝 協助淡龍接下來我們請黃仁委員 謝謝 |
transcript.whisperx[453].start |
11691.843 |
transcript.whisperx[453].end |
11708.918 |
transcript.whisperx[453].text |
有請部長我們再請陳部長謝謝主席來委員長好我就以你的業務報告裡面的原住民農產業發展與現況針對臺東縣長濱鄉倒稅劫死累累代收割已經遭到迷惑的大勢的破壞 |
transcript.whisperx[454].start |
11719.927 |
transcript.whisperx[454].end |
11742.374 |
transcript.whisperx[454].text |
那殘米香這個第一期的稻穗做目前等待收割中但有些田區每天遭受到這個米吼的入侵而且很多的這個稻米還沒未成熟就已經大肆的破壞那這個問題包含我們在那個什麼在 |
transcript.whisperx[455].start |
11743.598 |
transcript.whisperx[455].end |
11761.17 |
transcript.whisperx[455].text |
加走廊部落裡面有很多山豬入侵包含猕猴入侵你們如何現在對這個來防範甚至在其他的鄉鎮裡面的稻穗也曾經不是曾經是現在都一直在破壞當中你們如何防治 |
transcript.whisperx[456].start |
11765.011 |
transcript.whisperx[456].end |
11787.085 |
transcript.whisperx[456].text |
我跟委員說明就是說米油其實它的危害不只是現在講的水道其實還有很多果樹類的部分常常會受到這個米油的危害那現在我們林業保育署裡面他有提供這樣的一個電器那個電木器的部分微網的部分去做一些一些就是去喉的動作或者是防保但是這些措施對於水道來講他 |
transcript.whisperx[457].start |
11788.766 |
transcript.whisperx[457].end |
11788.786 |
transcript.whisperx[457].text |
第2個 這個 |
transcript.whisperx[458].start |
11814.827 |
transcript.whisperx[458].end |
11838.593 |
transcript.whisperx[458].text |
有關於簽電網如檢疫電網請問一下農業部有什麼什麼什麼樣的方式的補助那另外另外你們在做書面報告待會提出的事項那部落設計發展以農業農農產業的這個發展回鄉族人以在地成員形成新興組織的重要議題第一個 |
transcript.whisperx[459].start |
11842.992 |
transcript.whisperx[459].end |
11845.516 |
transcript.whisperx[459].text |
農業部目前有沒有大規模的園鄉農業推廣.或者部落主體的產業發展規劃那第二 |
transcript.whisperx[460].start |
11853.533 |
transcript.whisperx[460].end |
11876.903 |
transcript.whisperx[460].text |
原鄉離消費市場甚遠除了運銷成本高外受到銷售管道的限制近年來銷售進況不盡理想導致族人種種的意願降低請問農產品銷售管道狹隘次貸風險大農業部有如何解決的方法第三 |
transcript.whisperx[461].start |
11878.663 |
transcript.whisperx[461].end |
11890.428 |
transcript.whisperx[461].text |
農業部有沒有對原鄉特定作物補貼.或者修耕補助方案.請一周內給我一個回答另外本席認為在農業記憶土地記憶與原鄉的發展是直接連結在一起的 |
transcript.whisperx[462].start |
11898.971 |
transcript.whisperx[462].end |
11918.739 |
transcript.whisperx[462].text |
這樣才能夠實現以農為本的抵抗政治才能夠找回土地對原住民族回鄉者的一個真實的一個回鄉意願這個報告能不能提供給我我想跟委員報告你應該所列的東西我們會提供報告給你我只簡單的說明 |
transcript.whisperx[463].start |
11920.18 |
transcript.whisperx[463].end |
11920.36 |
transcript.whisperx[463].text |
好,這樣子 |
transcript.whisperx[464].start |
11946.537 |
transcript.whisperx[464].end |
11947.437 |
transcript.whisperx[464].text |
好 我們會提供好 謝謝 |
transcript.whisperx[465].start |
11976.365 |
transcript.whisperx[465].end |
11997.133 |
transcript.whisperx[465].text |
謝謝好那因為要11點50了我們中午不休息到今天會議結束那我們原本預定下午1點鐘要做公糧收購價格黨團協商提前到本日議程結束後立即進行好現在我們繼續詢談請黃珊珊委員請做詢談等一下等一下 |
transcript.whisperx[466].start |
12004.906 |
transcript.whisperx[466].end |
12006.046 |
transcript.whisperx[466].text |
請問您在接任部長之前在農委會擔任多久的職務? |
transcript.whisperx[467].start |
12022.998 |
transcript.whisperx[467].end |
12042.357 |
transcript.whisperx[467].text |
我108年3月進到農委會你是長期的農委會擔任我認識你的時候你應該是副主委是所以應該我們在臺北市政府也很謝謝農委會對於臺北市相關農產運銷或者是北農的這些支持所以 |
transcript.whisperx[468].start |
12044.407 |
transcript.whisperx[468].end |
12059.869 |
transcript.whisperx[468].text |
當時的副主委現在的部長應該非常清楚台北市在新建所謂的第一漁國國菜市場跟漁市場的改建中當時我賢命因為台北市議會要求我們必須要來跟中央爭取補助這個國菜市場 |
transcript.whisperx[469].start |
12060.934 |
transcript.whisperx[469].end |
12083.684 |
transcript.whisperx[469].text |
還有漁市場的改建總共花費大概140億當時議會有下一個決議說因為北農的大股東有一個叫做農委會你們的股東應該是22.76台北漁業公司的部分全國漁會的股份也有39%所以要求我們要跟中央來爭取 |
transcript.whisperx[470].start |
12085.939 |
transcript.whisperx[470].end |
12097.815 |
transcript.whisperx[470].text |
部長看一個照片這是我們接受議會要求之後其實我們我就帶著董事長跟總經理來拜訪陳其中主委這件事情你知道嗎知道您知道嗎 |
transcript.whisperx[471].start |
12099.798 |
transcript.whisperx[471].end |
12126.716 |
transcript.whisperx[471].text |
當時會面的時候不知道我事後知道事後所以我們當時爭取新建經費然後主委說因為這個部分臺北市是一級財政城市所以不予補助但是陳主委當時就說接下去新建好了以後冷鏈還有相關的拍賣軟體設備的部分農委會可以考慮來協助就是內部的部分所以我想問一下陳主委講的話現在的陳部長會不會 |
transcript.whisperx[472].start |
12129.238 |
transcript.whisperx[472].end |
12156.503 |
transcript.whisperx[472].text |
我想我的態度也一樣就是說當因為批發市場是一個非常重要的一個市場所以內部的包括的冷鏈的部分特別是拍賣能夠升級的部分我想我們都會支持所以現在如果按照接下去的他的硬體還在蓋但軟體的部分我希望農業部在前陳主委跟現在的陳部長我們希望他不是只是單純臺北市的工程而是他是一個重要的全國的 |
transcript.whisperx[473].start |
12156.983 |
transcript.whisperx[473].end |
12162.124 |
transcript.whisperx[473].text |
臺北市的農產運銷相關的這些過程裡面我們其實很辛苦的就是在過程裡面我看到您在2020年其實已經開始推動所謂的分級包裝 |
transcript.whisperx[474].start |
12185.52 |
transcript.whisperx[474].end |
12186.48 |
transcript.whisperx[474].text |
我們每天有一千七百噸的 |
transcript.whisperx[475].start |
12210.95 |
transcript.whisperx[475].end |
12212.83 |
transcript.whisperx[475].text |
所以分期包裝一直以來有在推但是效果好像不是很好 |
transcript.whisperx[476].start |
12239.599 |
transcript.whisperx[476].end |
12239.619 |
transcript.whisperx[476].text |
部長 |
transcript.whisperx[477].start |
12259.305 |
transcript.whisperx[477].end |
12285.291 |
transcript.whisperx[477].text |
這些事情您接了部長之後會不會繼續推推的效益是不是要寫一些KPI啊不然每次都說啊要看品項要看農民那現在今天討論的又是農民幾乎沒有工人可以做事所以你怎麼樣推動分期報告我想跟委員說明喔從我的思維裡面我覺得很多進到批發市場的這特別是有些業差類的要先處理的就在產地端就要處理好 |
transcript.whisperx[478].start |
12286.952 |
transcript.whisperx[478].end |
12297.942 |
transcript.whisperx[478].text |
我會對接到他的五大的那個合作社場從合作社場那邊先處理那有一些共同運銷的部分我們希望一定要這樣做啦 |
transcript.whisperx[479].start |
12298.581 |
transcript.whisperx[479].end |
12319.292 |
transcript.whisperx[479].text |
但是部長因為沒有強迫然後第二個也沒有相關的機制我希望您上任農業部已經升格了我覺得這件事情我們不能再像原始社會一樣比如像比照日本比照相關的先進國家其實分歧包裝是很正常的事情可是在我們這邊變成是很奇怪的事第二個 |
transcript.whisperx[480].start |
12319.952 |
transcript.whisperx[480].end |
12345.47 |
transcript.whisperx[480].text |
沒有戰板化沒有標準化就會看到一大堆現在北農還是一大堆用人力在搬運沒有用起重機在搬運這是一個很原始的地方我希望改建以後這個部分農委會就剛剛您講的軟體的部分裡面相關不管是將來的拍賣或者是將來這些包裝都應該是在農委會以台北為例然後把它提升上來好嗎 |
transcript.whisperx[481].start |
12346.793 |
transcript.whisperx[481].end |
12347.733 |
transcript.whisperx[481].text |
接下來我們請侯木楷委員請做詢討 |
transcript.whisperx[482].start |
12378.12 |
transcript.whisperx[482].end |
12379.522 |
transcript.whisperx[482].text |
主席謝謝麻煩請陳部長我們再請陳部長 |
transcript.whisperx[483].start |
12389.013 |
transcript.whisperx[483].end |
12410.865 |
transcript.whisperx[483].text |
陳部長我想還是關心一下國人都非常重視從去年到今年大家都想要知道操司雞蛋弊案爭議到底為何去年9月的時候有台北新北桃園台中高雄五個地檢署都說有接獲到民眾告發或是檢方的檢報分案依時安法或是偽造文書五路期發分案調查 |
transcript.whisperx[484].start |
12411.385 |
transcript.whisperx[484].end |
12438.693 |
transcript.whisperx[484].text |
那到今天有平面媒體報導說9個月了都沒有任何約談相關人士你自己也證實說你沒有被約談我本人我並沒有接受到約談那知道我們農業部有沒有相關人士有被約談或是這個我就沒有去詢問你沒有去詢問對我沒有去詢問所以我確認部長你覺得超思雞蛋這個爭議到現在一年多的時間了到底對農業部的形象好不好 |
transcript.whisperx[485].start |
12439.748 |
transcript.whisperx[485].end |
12466.575 |
transcript.whisperx[485].text |
我覺得會不會希望也如果說真的有人謀不章查出來如果真的沒有還農業部清白還業務同仁這是我的原則所以說那怎麼會您自己也不關心也不了解沒有我強調的就是說檢調單位查處本身如果說有不能不法我覺得不會寬待但是如果沒有不法也要還我們同仁一個清白是啊那但是9個月過去了都還沒有都還沒有讓國人釐清可是相對的齁 |
transcript.whisperx[486].start |
12468.936 |
transcript.whisperx[486].end |
12479.962 |
transcript.whisperx[486].text |
部長您的態度是什麼我想能夠把事情透過程序裡面把事情釐清是最重要的但是現在看到的就是在司法還沒有就是檢調單位還沒有 |
transcript.whisperx[487].start |
12481.99 |
transcript.whisperx[487].end |
12508.929 |
transcript.whisperx[487].text |
確認之前有很多外界的聲音就讓其實讓同仁非常困擾因為以農業部來講就是讓同仁如果說覺得困擾才更應該趕快水落石出嘛因為越滾越大從陳吉仲部長到現在你一樣都是陳部長啊但是我覺得現在國人關注的重點是到底真相為何不管是說超市雞蛋那時候花5.7億來去做補助不管說進口了這個 |
transcript.whisperx[488].start |
12510.59 |
transcript.whisperx[488].end |
12529.641 |
transcript.whisperx[488].text |
一億多顆的這個雞蛋八千多顆的雞蛋巴西來的那到現在到底真相為何還有這個不同公司簽約是A公司然後結果付款是B公司那九個月過去而今天看到這樣的一個媒體結果本席看到你回應媒體講是說我們也希望減掉建樹 |
transcript.whisperx[489].start |
12530.936 |
transcript.whisperx[489].end |
12556.836 |
transcript.whisperx[489].text |
那如果說競速號不是更應該要我們主動積極、機關主動積極的協助來辦理嗎?對,我想檢調如果任何的一個約談或是...所以看起來你沒有被約談我是沒被約談下面同仁就你了解也沒有我沒有去問所以我不清楚那到底有沒有人知道?我們同仁說目前沒有也沒有那看起來前部長陳吉仲也沒有所以都沒有 |
transcript.whisperx[490].start |
12557.965 |
transcript.whisperx[490].end |
12562.768 |
transcript.whisperx[490].text |
國人那麼關心的一個案件結果剪掉到現在也難怪媒體會用頭版頭來報導啊9個月了無盡度嘛 |
transcript.whisperx[491].start |
12568.599 |
transcript.whisperx[491].end |
12590.847 |
transcript.whisperx[491].text |
來部長那我再請教今天我更看到的是裡面有提到一個是說因為採購生鮮雞蛋帶殼雞蛋是屬於生鮮的農漁產品非屬採購法的採購標的但是冷藏倉儲跟雞蛋托運費用是全額補助那依規定是用採購法那沒有用採購法辦理對不對 |
transcript.whisperx[492].start |
12593.764 |
transcript.whisperx[492].end |
12603.633 |
transcript.whisperx[492].text |
從昨天調查報告是這樣子顯示的那我們現在是要追回五成的補助款對針對他應該用適用這種採購法的部分你的理由是什麼會認為是說他應該用採購法他沒有用採購法 |
transcript.whisperx[493].start |
12609.411 |
transcript.whisperx[493].end |
12623.613 |
transcript.whisperx[493].text |
這個我想我發30秒的時間說明一下就是當初續產會在處理這個案子的時候他認為因為雞蛋不是用政府採購法那後續的倉儲跟運輸他們覺得是因為他相對進的少他覺得應該是一批的啦 |
transcript.whisperx[494].start |
12624.494 |
transcript.whisperx[494].end |
12651.851 |
transcript.whisperx[494].text |
但是後來我們行政調查看起來是便宜形式對然後行政單位去看說後面兩個應該要適合採購法那根據這個東西我們會依法把這個錢把它追回來所以照理講我們想請教那個中央續產會他到底應不應該遵守採購法他沒有他用自己的資金都不用他只要簽得到跟政府補助的才有所謂的適不適用政府採購法的問題 |
transcript.whisperx[495].start |
12653.22 |
transcript.whisperx[495].end |
12677.848 |
transcript.whisperx[495].text |
但他的資金來源呢?不也是我們這邊會有相關的一個補助嗎?對 所以說在110年他是一個例行的政府採購嘛 例行的那個產價調節所以他有計畫上來 我們有合計畫下去 那有合計畫下去的話合計畫下去也算是政府補助不是嗎?對 所以說他不適合的時候就要追回就要追回 好 那我們來看一下去年的公文 |
transcript.whisperx[496].start |
12680.011 |
transcript.whisperx[496].end |
12693.14 |
transcript.whisperx[496].text |
工程會已經明白確認了冷凍蛋液跟冷凍蛋黃是冷凍處理非屬生鮮農業產品適用採購法那去年有什麼樣的一個 去年有什麼樣的狀況去年狀況講說 |
transcript.whisperx[497].start |
12695.16 |
transcript.whisperx[497].end |
12695.36 |
transcript.whisperx[497].text |
這是112年的嗎? |
transcript.whisperx[498].start |
12711.648 |
transcript.whisperx[498].end |
12735.575 |
transcript.whisperx[498].text |
這是112年?2023年啊?112年的部分是所有的那個作業都是續廠會先用他自有資金處理那我們後面的計畫合定補助的設置在後面所以他不符合政府採購法的我們就給他50%以下所以沒有所謂的追求問題是!所以部長我們的冷凍蛋黃跟冷凍蛋液有給他50%以下嗎?就是給他50%以下 沒有啊! |
transcript.whisperx[499].start |
12737.395 |
transcript.whisperx[499].end |
12760.6 |
transcript.whisperx[499].text |
你之前去年巴西進口的冷凍大法冷凍法也是一樣直接讓他做採購啊沒有你並沒有讓他去用採購法裡面不管是招標或是相關啊他如果沒有採購法的話我們的補助就是低於50%就這樣子沒有這個是去年本期現在拿出來的資料就是去年9月的時候我們有委員在質詢去年10月的時候我們有委員在質詢 |
transcript.whisperx[500].start |
12761.9 |
transcript.whisperx[500].end |
12763.002 |
transcript.whisperx[500].text |
委員會委員會委員會委員會 |
transcript.whisperx[501].start |
12771.823 |
transcript.whisperx[501].end |
12798.551 |
transcript.whisperx[501].text |
沈記長那時候講是說確實純有爭議待釐清要先確認雞蛋是不是生鮮魚農產品那還有冷凍蛋液跟冷凍蛋黃是不是生鮮魚農產品那我們委員去年的時候我們的委員林維周委員就拿出這個公文就說我們在10月3號的時候就問工程會到底冷凍蛋黃農蛋液是不是農漁產品那工程會說不是嘛那現在3個月過去了我們到底有沒有去有 |
transcript.whisperx[502].start |
12799.671 |
transcript.whisperx[502].end |
12802.132 |
transcript.whisperx[502].text |
有交回50%嗎?有低於50%嗎?所以現在本席就要確認因為今天媒體報導已經講是說你的 |
transcript.whisperx[503].start |
12826.775 |
transcript.whisperx[503].end |
12852.047 |
transcript.whisperx[503].text |
冷藏、倉儲跟脫軌費用要收回50%嗎?那我們現在要問過去補助的冷凍蛋黃、冷凍蛋液有沒有要去了解?是不是如果說有補助100%也要收回50%?我現在只問的是是不是一定適用?一定一筆適用就是112年部分如果說他該適用政府採購他沒適用的話就會追回但如果說 |
transcript.whisperx[504].start |
12853.027 |
transcript.whisperx[504].end |
12874.124 |
transcript.whisperx[504].text |
他先買了我們在核定補助債後的時候我就一定不會超過50%是 所以這個就是重點嘛那什麼時候可以把資料釐清因為之前就是有爆發中央續產會就是去購買巴西的或是相關的冷凍蛋液跟冷凍蛋黃但他沒有用採購法他也直接用合約方式就直接採購了 |
transcript.whisperx[505].start |
12875.465 |
transcript.whisperx[505].end |
12901.078 |
transcript.whisperx[505].text |
所以才會讓我們去年有這樣的疑慮並且要求省紀部來去做瞭解省紀部說3個月要給資料到目前也是不了了之那本席就直接請教因為你們已經講了冷凍倉儲只要是符合採購法的追回50%那一樣冷凍蛋黃冷凍蛋液符合採購法這您剛剛已經承認了工程會也公文了那現在什麼時候要去釐清到底過去有哪一些是百分百補助要追回50% |
transcript.whisperx[506].start |
12902.403 |
transcript.whisperx[506].end |
12902.423 |
transcript.whisperx[506].text |
好 謝謝 |
transcript.whisperx[507].start |
12934.073 |
transcript.whisperx[507].end |
12935.433 |
transcript.whisperx[507].text |
接下來我們請紅森漢委員請做詢談 |
transcript.whisperx[508].start |
12975.027 |
transcript.whisperx[508].end |
13000.274 |
transcript.whisperx[508].text |
謝謝主席請陳部長我們再請陳部長喂吼部長那個你有沒有察覺吼最近石虎啊草蕭啊穿山甲啊這些瀕臨絕種的保育類的動物啊其實被遊蕩犬咬死的新聞特別多 |
transcript.whisperx[509].start |
13002.216 |
transcript.whisperx[509].end |
13014.182 |
transcript.whisperx[509].text |
我有發現其實現在特別是入沙的部分那其實穿山甲是排名第一我是說被遊蕩犬那遊蕩犬的部分其實實務是比例蠻高的 |
transcript.whisperx[510].start |
13015.327 |
transcript.whisperx[510].end |
13031.558 |
transcript.whisperx[510].text |
從你們農業部統計的數量來看去年2023年在保育類跟所有野生動物被犬隻攻擊的案件裡面其實都是近5年來的新高那這數字大概代表了確實現在遊蕩犬的問題其實是越來越嚴重的 |
transcript.whisperx[511].start |
13033.49 |
transcript.whisperx[511].end |
13055.934 |
transcript.whisperx[511].text |
這問題其實不是只是野生動物被咬死這麼簡單其實我們都知道很多的遊蕩犬牠到了野外是會跟我們的野生動物相互傳染疾病的那很多科學也研究目前其實犬隻跑到野外牠們健康狀況其實更差存活率不到一半所以這個狀況變成是犬隻跟野生動物幾乎都是兩敗俱傷的狀況那部長我要問 |
transcript.whisperx[512].start |
13060.615 |
transcript.whisperx[512].end |
13088.583 |
transcript.whisperx[512].text |
犬隻是你們動保司管理嘛對不對那野生動物保育是林保署對不對那都在農業部所以部長針對這個問題你們打算怎麼辦我想我們針對這個部分其實那個動保司跟那個林保署包括我們都曾經討論過那現在就是我們會針對就是野生動物的熱區的部分先去做這個那個地區的犬隻的調查 |
transcript.whisperx[513].start |
13090.36 |
transcript.whisperx[513].end |
13095.766 |
transcript.whisperx[513].text |
這是今年5月18日的新聞這新聞上面寫說熱區移植有當權就你剛才說的事辦三個月沒下文為什麼這個新聞會這樣我可不可以請我們的動保司長說明一下 |
transcript.whisperx[514].start |
13108.063 |
transcript.whisperx[514].end |
13109.784 |
transcript.whisperx[514].text |
市長,如果你們確定接下來這些計畫是擴大的,也沒有暫停,那我覺得要跟外界說清楚 |
transcript.whisperx[515].start |
13133.724 |
transcript.whisperx[515].end |
13155.342 |
transcript.whisperx[515].text |
現在有很多擔心遊蕩犬的人他們其實看到這個新聞那都覺得那為什麼農業部接下來沒有動作我覺得對外說明清楚的部分要趕快解釋清楚而不是現在讓這樣子我在外面一直看到這個新聞大家都在傳啊我們會來說明清楚特別是台東南投跟苗栗的地區 |
transcript.whisperx[516].start |
13156.563 |
transcript.whisperx[516].end |
13184.709 |
transcript.whisperx[516].text |
部長,我當然肯定如果你們接下擴大座的部分在態度上面我是肯定的但我也看了一下今年你們在十五跟草蕭熱區的計畫那也請教了一些專家學者其實我們也發現有不少可以改進的空間第一個事情是在KPI的部分部長,你們年度目標寫遊蕩權處置率80%但我很好奇如果100隻去處置了80隻但如果後面又再新增了100隻 |
transcript.whisperx[517].start |
13187.571 |
transcript.whisperx[517].end |
13189.402 |
transcript.whisperx[517].text |
那這個處置率還有什麼意義呢? |
transcript.whisperx[518].start |
13191.26 |
transcript.whisperx[518].end |
13220.183 |
transcript.whisperx[518].text |
你們這並不是整體的母數啊原本的100隻你處置80隻但你沒有去管那會不會有新的跑進來會不會有新的增加啊所以部長針對這個KPI你們覺得需不需要修改我跟委員說明齁我最近在看比較細的這些各單位的這些KPI的部分不只是這個啦還有其他的那些KPI我就覺得要嘛就是純粹一個數字的概念而已並沒有要回應到我們最後的政策的目的在哪邊所以我會就要求很多 |
transcript.whisperx[519].start |
13220.763 |
transcript.whisperx[519].end |
13233.011 |
transcript.whisperx[519].text |
拜託,我覺得這個是很明顯的在邏輯上面的問題所以,布朗如果你覺得OK的話,我是覺得關於這個KPI怎麼設定怎麼設計我覺得都應該有一併的檢討至少我們可以從生態熱區先來因為有蠻多的學者跟我說,確實生態熱區跟這個人類聚集的地方其實它的樣態是不太一樣的部分我覺得至少這可以先來,我們先來檢討KPI可以嗎? |
transcript.whisperx[520].start |
13251.504 |
transcript.whisperx[520].end |
13271.385 |
transcript.whisperx[520].text |
我接下來也要問其實我們現在在法規上關於事主的責任是有明確的規範的不管是寵物登記啦不管是絕育啦施打疫苗啦不可棄養啦其實我們都有法源依據但現在問題是每次我們跟動保師討論動保師就跟我們說因為人力不足雖然法規都有所以很難落實執法 |
transcript.whisperx[521].start |
13272.927 |
transcript.whisperx[521].end |
13300.002 |
transcript.whisperx[521].text |
這是現在的問題可是我們明明看到遊蕩權越來越多但是執法端卻一直說資源不足、人力不足部長你覺得該怎麼辦我想我們之前也跟那個人事實行人種族那邊去爭取像動保法的動保的人力包括重要的部分跟地方限制政府的人力也要增加這個是正常的另外一個是用最壞人力我們現在變成是這些法規擺著不動變擺著好看 |
transcript.whisperx[522].start |
13301.087 |
transcript.whisperx[522].end |
13309.083 |
transcript.whisperx[522].text |
不會有人因為這受罰 不然我有一個建議我們剛剛都講到生態熱區的問題 我們有沒有可能我們的執法就在生態熱區來優先執法 |
transcript.whisperx[523].start |
13312.12 |
transcript.whisperx[523].end |
13335.046 |
transcript.whisperx[523].text |
優先盡情管理生態熱區的範圍當然比整體來說都小也更聚集如果資源不足的話至少在生態熱區上面我們就按照法規來你要有一定的宣導期我也贊成你可以在生態熱區有個幾個月一年的宣導期讓大家都知道我接下來開始要管理這些事情我也都同意可是我們不能法規擺的都不動啊 |
transcript.whisperx[524].start |
13335.746 |
transcript.whisperx[524].end |
13362.92 |
transcript.whisperx[524].text |
了解我想我非常同意先從生態樂區開始包括你人力的投入資源的投入可以從這邊開始投入是一回事但我剛剛現在說的是關節而把變也要開始著手進行我知道也許整個台灣的範圍很大你們人力確實不足但至少這些地方重點區域是可以開始的這部分你要有個宣導期我也不反對這樣好不好部長從這個地方我們優先開始最後一個我要要求主席再給我一分鐘 |
transcript.whisperx[525].start |
13364.261 |
transcript.whisperx[525].end |
13379.28 |
transcript.whisperx[525].text |
我們現在看到很多這些相關的計畫農業部其實大家都抱怨啦有點像關起門來自己做啦部長我其實是要求我們這些相關的包括資訊的公開包括你相關計畫書成效的評估其實都應該定期的公開 |
transcript.whisperx[526].start |
13380.181 |
transcript.whisperx[526].end |
13407.49 |
transcript.whisperx[526].text |
最後一個我是想要請部長這是很多我們生態界的專家學者們請我一定要跟你反映的我們應該定一個定期檢討的機制那這個定期檢討的機制裡面有關於資料的公開資訊的公開的部分讓外部的學者外部的各個專業者一起來參與而不會讓大家都覺得說你好像農業部自己搞自己的外面也不知道你在搞什麼也拿不到數據拿不到資料可是外面只有看到遊蕩犬的數字一直增加 |
transcript.whisperx[527].start |
13408.41 |
transcript.whisperx[527].end |
13408.51 |
transcript.whisperx[527].text |
拜託,謝謝部長 |
transcript.whisperx[528].start |
13438.31 |
transcript.whisperx[528].end |
13444.755 |
transcript.whisperx[528].text |
主席,麻煩請部長我們再請陳部長謝謝 |
transcript.whisperx[529].start |
13467.601 |
transcript.whisperx[529].end |
13493.512 |
transcript.whisperx[529].text |
部長首先我是覺得對於農業部在淡的這個產銷管理我真的覺得非常奇怪今年7月1號開始又要跟養雞協會合作又要開始殺老母雞去年的時候說要補助老母雞說進口種雞那時候很多農民跟農業部講說進口太多就會造成產能過剩那農業部說沒關係先進再講然後結果進了之後我們農業部又要再花錢去殺老母雞 |
transcript.whisperx[530].start |
13494.622 |
transcript.whisperx[530].end |
13523.367 |
transcript.whisperx[530].text |
那你會不會又會造成說到時候彈又缺彈我不知道部長能不能承諾不會再造成缺彈狀況我跟委員說明就是整個彈機場的產業鏈裡面老母機的淘汰是一個彈籠本來在這做的那我們是提供誘因讓他加速這個老母機的淘汰去年鼓勵人家多進然後今年又對叫他加速去殺然後進口彈去年的話一直進一堆進了一堆之後再花錢把它銷毀 |
transcript.whisperx[531].start |
13524.487 |
transcript.whisperx[531].end |
13549.507 |
transcript.whisperx[531].text |
我跟委員說明齁,就是您剛才...不打沒關係啦,你如果認為沒有錯的話,我是希望你可以檢討一下,因為這個產銷問題都是花人民的納稅錢,把人民的納稅錢1.1都浪費掉,然後又會造成缺蛋。我希望農業部可以把這個蛋的問題你們仔細思考一下,怎麼從源頭把它管理,不是頭都一頭腳痛一腳啦。但我今天想要問,還是一向我想要問這個,超市的問題,續產會的問題。 |
transcript.whisperx[532].start |
13551.388 |
transcript.whisperx[532].end |
13554.812 |
transcript.whisperx[532].text |
因為農業部當時大家在問說續展會這個採購有沒有問題農業部當初是說沒問題欸你們第一時間是說沒問題欸你們說因為續展會是用自有資金購買財物所以沒問題然後甚至於還推說續展會我們調查不到 |
transcript.whisperx[533].start |
13567.587 |
transcript.whisperx[533].end |
13583.568 |
transcript.whisperx[533].text |
結果現在被大家發現說不是沒問題包括你們自己剛剛你跟其他委員的詢答你都承認嘛在冷鏈還有運費這一塊他們是沒有用採購法所以是違法了嘛你現在又有問題我不知道說到底農業部跟續產會之間關係是什麼 |
transcript.whisperx[534].start |
13585.43 |
transcript.whisperx[534].end |
13596.646 |
transcript.whisperx[534].text |
因為續產會...你未來會跟他...不會跟他拒絕往來嘛你還會透過很多補助給他去採購很多農產品嘛那你到底有沒有在監督他你到底是什麼管制還有一開始第一時間為什麼是推脫 |
transcript.whisperx[535].start |
13598.874 |
transcript.whisperx[535].end |
13611.67 |
transcript.whisperx[535].text |
我跟委員說明就是續展會跟農業部的關係是我們農業部是它的督導單位所以續展會的所有的行政方面的部分我們農業部都有權利去做相關的調查你們農業部一開始面對外界質疑說續展會是用自有資金買 |
transcript.whisperx[536].start |
13617.598 |
transcript.whisperx[536].end |
13638.958 |
transcript.whisperx[536].text |
這是兩件事情齁就是我都從續產會本身的管理的部分農業部是負責督導的我們有權利去做相關的行政的一個查核這個部分是是沒問題的那第二個部分就是續產會如果有些產交條件他用自有資金先用了以後跟農業跟農業部請款的時候那就要付 |
transcript.whisperx[537].start |
13639.278 |
transcript.whisperx[537].end |
13653.656 |
transcript.whisperx[537].text |
有一部分是符合政府採購法就要政府採購法不符合政府採購法的部分我們就會50%以下那另外一類就是111年這一類他是在年度先核計劃年度先核計劃的時候他如果後續沒有照相關的規範的時候 |
transcript.whisperx[538].start |
13654.637 |
transcript.whisperx[538].end |
13679.77 |
transcript.whisperx[538].text |
那不符合規範的我們錢就會收回來當然嘛可是你這個就是後見之明你理論上來講你現在續產會是來解決國內大家缺蛋的問題所以農業部才會補助他一筆錢讓他去採購所以你先前就要跟他講清楚啊在採購的時候比如說要符合採購法規範你蛋可以不用公開不用符合採購法但是你其他運費冷鏈你要符合採購法你連這一點事情你們都無法督導 |
transcript.whisperx[539].start |
13680.27 |
transcript.whisperx[539].end |
13705.391 |
transcript.whisperx[539].text |
還要事後說你來跟我請款的時候我少給一點那我就覺得非常奇怪續產會不是大部分資金來源都是農業部嗎那這也都是人民的納稅錢啊你跟他少請的他如果虧本的話最後還不是很多時候農業部也是要補助給他所以為什麼不能事先解決一定要事後這個事情啪啪之後然後才要說喔那這個事情已經被外界知道了所以呢這個補助我們要減一半不過我想這樣農業部的態度非常消極欸 |
transcript.whisperx[540].start |
13706.632 |
transcript.whisperx[540].end |
13723.845 |
transcript.whisperx[540].text |
這個部分就是相關的這些補助案本身他就部長我只想問你啦接下來還會發生一樣狀況就是說你透過續產會要解決國內的某一個農產品稀缺的問題然後一樣讓他先去買然後他不合法之後呢你再叫他追繳 |
transcript.whisperx[541].start |
13724.545 |
transcript.whisperx[541].end |
13746.076 |
transcript.whisperx[541].text |
所以未來還會發生一樣的狀況嗎?我想不是說不合法以後才去追究沒有符合採購法就是不合法嗎?我開始剛才有跟其他委員講這個是續產會本身在這個雞蛋的採購過程中的倉儲他們是誤解的以為是他是跟著雞蛋一起一條包裝的所以後來他們了解 理論上 部長 理論上續產會跟你的關係非常密切嗎? |
transcript.whisperx[542].start |
13746.997 |
transcript.whisperx[542].end |
13759.109 |
transcript.whisperx[542].text |
續產會董事長是林聰賢以前是農業部應該也是官派的吧這麼密切一個單位結果會讓他誤解那農業部都完全沒責任一部就是說沒關係我就少給你一點錢好像所有責任都是續產會 |
transcript.whisperx[543].start |
13761.21 |
transcript.whisperx[543].end |
13782.269 |
transcript.whisperx[543].text |
應該不是這樣吧部長 農業部對於去產會完全沒有任何督導跟管理的責任我們負有督導的責任 是嘛 所以我說相關的有很多的行政的疏失當然就是過去的事情要追究要追究 我現在講的時候那未來勒因為我現在跟部長詢答的感覺是說 都覺得你沒有錯嘛都覺得說那是去產會的事情嘛 那未來去產會是不是一樣會類似的狀況嘛 |
transcript.whisperx[544].start |
13785.111 |
transcript.whisperx[544].end |
13794.742 |
transcript.whisperx[544].text |
政府部門就要依法行事那相關的規範就要符合政府採購法這是一個大原則你若違反的話若你是惡意的故意的沒有問題是說未來農業部對於續產會是不是還是一樣的放任是不是我們絕對不會我們已經在加強續產會的管理了就是說續產會採購的時候又誤解了然後又沒有透過公開採購 |
transcript.whisperx[545].start |
13806.275 |
transcript.whisperx[545].end |
13827.746 |
transcript.whisperx[545].text |
政府採購法又繞過了然後然後農業部再說那我少給你補助這樣無止境循環會發生這樣的狀況嗎?你有沒有把握說未來跟蓄產會的監督到位我們一定會更積極的去監督這個那相關的成功率的底下有沒有能不能不上是另外一回事喔因為現在檢調在查我就不臆測但是我現在在問農業部的你的官方行政責任嘛 |
transcript.whisperx[546].start |
13828.246 |
transcript.whisperx[546].end |
13836.577 |
transcript.whisperx[546].text |
第二有關於超思跟亮彩的關係到底查清楚沒有為什麼巨展會是跟亮彩簽約付錢付給超思為什麼 |
transcript.whisperx[547].start |
13838.131 |
transcript.whisperx[547].end |
13841.675 |
transcript.whisperx[547].text |
為什麼你是跟亮采簽約他也是付錢給超市這沒辦法問嗎我告訴你我們不會聽信任的一方的齁 |
transcript.whisperx[548].start |
13858.453 |
transcript.whisperx[548].end |
13863.258 |
transcript.whisperx[548].text |
公部門講話對話講話要附我們的事實的證據那證據的部分要請檢調單位去處理我請問一下農業部有沒有去問區長會為什麼是這樣的採訪對我來講我覺得他們是商業關係商業關係是司法人的關係應該請檢調單位去進行所以農業部沒有問的意思嘛對連查都沒有查嘛你連 |
transcript.whisperx[549].start |
13876.852 |
transcript.whisperx[549].end |
13885.8 |
transcript.whisperx[549].text |
到現在為止大家外界關心的操司跟量產關係你都還沒有去釐清是這個意思嗎?是推給司法嗎?剛剛我前面在跟你講的是說農業部和續產會的關係你要督導續產會在採購要符合一定的規定嘛 |
transcript.whisperx[550].start |
13898.812 |
transcript.whisperx[550].end |
13924.202 |
transcript.whisperx[550].text |
基本上你跟A廠商簽約卻付款給B廠商這非常罕見的結果你正在一個督導的責任你連問說為什麼他是這樣的行為你都說那跟你沒關係推給司法那你農業部到底要怎麼去怎麼去管理續產會的單位我覺得委員你要把事情分清楚我剛才說的司法人的關係是量財跟超市之間的違法的我們行政局沒辦法處理所以請移行檢調當然可以處理嘛因為你是管理單位嘛 |
transcript.whisperx[551].start |
13924.682 |
transcript.whisperx[551].end |
13946.28 |
transcript.whisperx[551].text |
你是督導單位嘛你要不要做而已嘛我真不相信農業部每年補助那麼多錢給續產會你連問這個你都不能問我真的不相信啦我真的不相信啦我問不出答案沒有關係但所有人都看得出來農業部對續產會就是這個態度嘛連大家這麼關心的超市跟量產的關係你都說那是司法關係跟我們沒有關係 |
transcript.whisperx[552].start |
13946.8 |
transcript.whisperx[552].end |
13970.998 |
transcript.whisperx[552].text |
來,謝謝 |
transcript.whisperx[553].start |
13972.116 |
transcript.whisperx[553].end |
13994.734 |
transcript.whisperx[553].text |
接下來我們請蘇清泉委員 蘇清泉 蘇清泉委員我們請徐欣宇委員 徐欣宇 徐欣宇委員我們請陳冠廷委員 陳冠廷 陳冠廷委員我們最後請邱志維委員 請做選擇今天發言時間是4加6還是4加6還是4加8 |
transcript.whisperx[554].start |
14001.021 |
transcript.whisperx[554].end |
14025.678 |
transcript.whisperx[554].text |
我都很按照時間順序時間到我就會很準時,因為怕會影響到下一個同仁的生意這個時間到一直不下來,一直問我在台下我不是沒到,我台下已經到了這個國會應該增加一個霸凌這個同僚罪霸凌國會議員罪 |
transcript.whisperx[555].start |
14028.633 |
transcript.whisperx[555].end |
14037.737 |
transcript.whisperx[555].text |
請做宣達來,先請這個農業部陳部長我們再請陳部長部長,我聽到整部、整套詞有六個問題但問題趕快處理好,脫離這個戰場,農業部變成雞蛋部 |
transcript.whisperx[556].start |
14055.656 |
transcript.whisperx[556].end |
14069.225 |
transcript.whisperx[556].text |
我希望能夠更快的釐清如果有不對就改進 如果他們有不實的指控 有不實的質詢 你們當然要反駁 不實的證據 不實的論述 你們就會強烈的反駁 對不對所以你要了解為什麼會一直循環這個問題 就是你是不是預測的機制有問題 |
transcript.whisperx[557].start |
14081.038 |
transcript.whisperx[557].end |
14106.941 |
transcript.whisperx[557].text |
看一下那個過去10年,過去10年那個但不是缺就是剩,缺剩缺剩缺剩這一次循環嘛,就在你這個預測生產預測機制有沒有可能要優化一點,如果你的生產預測機制不好不健全,那你預測就會失準,就會變成產銷失調嘛,供應跟需求供應跟需求永遠對不上, |
transcript.whisperx[558].start |
14108.513 |
transcript.whisperx[558].end |
14114.349 |
transcript.whisperx[558].text |
所以你這個生產預設機制是不是能夠過去的經驗就用大數據你現在不是有你的AI嗎? |
transcript.whisperx[559].start |
14115.711 |
transcript.whisperx[559].end |
14138.446 |
transcript.whisperx[559].text |
你用這個去預測你該怎麼樣去處理,不要每次這個產銷失調的時候就去補助。不是補助進口,就是補助淘汰這個寡產蛋機。一直在循環。所以問題是你還數課程之後,到底問題出在哪裡?你們可以用AI、用人工智慧去協助優化你們的生產預測機制。 |
transcript.whisperx[560].start |
14139.966 |
transcript.whisperx[560].end |
14145.21 |
transcript.whisperx[560].text |
那避免這個預測機制失衡嗎?博麟你也看完了嗎? |
transcript.whisperx[561].start |
14170.009 |
transcript.whisperx[561].end |
14172.769 |
transcript.whisperx[561].text |
對我們會這樣子然後這次最主要是消費端的那個拉力需求力拉不起來啦 |
transcript.whisperx[562].start |
14199.754 |
transcript.whisperx[562].end |
14204.337 |
transcript.whisperx[562].text |
今天主題是農業移工政策改善提出精進作為精進作為你必須要有一個時間表精進作為兩個面向增加人力供給第二個 |
transcript.whisperx[563].start |
14229.181 |
transcript.whisperx[563].end |
14242.667 |
transcript.whisperx[563].text |
就是減少減省人力需求攻擊面增加然後呢需求面把它降低對不對是你們進行做那你也有時間表好第一個你們上個禮拜 |
transcript.whisperx[564].start |
14244.195 |
transcript.whisperx[564].end |
14260.329 |
transcript.whisperx[564].text |
跟相關的單位有結論按照這個農業能力需求跟勞動部提案申請增加農糧跟畜牧產業的農業移工緣額來 那個農業部有代表來 那個勞動部 這個什麼時候會執行 這個什麼時候會執行 那個部長 你們 |
transcript.whisperx[565].start |
14264.994 |
transcript.whisperx[565].end |
14293.561 |
transcript.whisperx[565].text |
我們現在是預估就是因為我們現在的一萬兩千人大概預估到年底會大概滿了現在是八千多人那我們已經啟動這個評估八千人現期旅籍你們有這個會議結論你們要跟提案跟勞動部提案嘛對不對什麼時候要提那提出多少元額他們7月開會的時候就因為勞動部有例行的一個會議我們在7月的時候就會提出去所以你這些要訓明清楚然後讓讓所有的這個有需求的單位瞭解你們一定有做了這些相關的作為 |
transcript.whisperx[566].start |
14294.844 |
transcript.whisperx[566].end |
14307.695 |
transcript.whisperx[566].text |
另外你們加強改善季節性缺工的問題好你說移工跨區這年農會都不知道嘛移工可以跨區是跨區還是跨市跨縣市都可以 |
transcript.whisperx[567].start |
14308.968 |
transcript.whisperx[567].end |
14310.069 |
transcript.whisperx[567].text |
現在開始在引進移工了 |
transcript.whisperx[568].start |
14334.392 |
transcript.whisperx[568].end |
14353.64 |
transcript.whisperx[568].text |
所以你要把這個做法 讓所有的需求單位了解 可以跨區你有很多政策 雖然是利益良善 但是往往我們這個基層需求單位不了解 我們有哪些有效的政策所以你們要加強宣導 跟這個相關的農事單位或是農會組織 農場加強去宣導 |
transcript.whisperx[569].start |
14362.816 |
transcript.whisperx[569].end |
14387.024 |
transcript.whisperx[569].text |
所以很多政策就是你們缺乏宣傳然後你未來這個你要把這個本來本勞跟外勞的合配比這個上上禮拜我開過記者會農業缺工這是一個存在已久的問題但你拿出來對策沒有辦法有效解決嘛如果有效解決就不會一直有缺工嘛對不對 這代表你們政策失靈啊 |
transcript.whisperx[570].start |
14388.717 |
transcript.whisperx[570].end |
14409.316 |
transcript.whisperx[570].text |
所以你現在未來要把你這個10天以下事業單位合位比跟這個一般農民團體相同這部分什麼時候上路?我們也是大概在7月的會議的時候我們一併會提出來所以這個就是要趕快建機旅機然後你說減省人力需求每一鄉鎮都要有農機Uber |
transcript.whisperx[571].start |
14410.12 |
transcript.whisperx[571].end |
14429.519 |
transcript.whisperx[571].text |
什麼什麼上路我們大概現在開始已經在推動了齁那我們預計齁我們現在大概4年之內會全部的一鄉鎮一Uber但是兩年一鄉鎮一Uber對就是重大的產業區重大的重要的產區裡面一鄉鎮是一Uber我以為你這個連台北市信義區都要重要的農業生產區才有啦所以你要把這個 |
transcript.whisperx[572].start |
14431.581 |
transcript.whisperx[572].end |
14450.04 |
transcript.whisperx[572].text |
你不是每鄉鎮都成立,你應該是這個農業縣主要的,不是農業縣所有的鄉鎮都需要,對不對?你要把這些區域把它列明出來,包括高雄市、台南市、屏東縣有哪些鄉鎮有這個所謂的農機Wolver |
transcript.whisperx[573].start |
14453.137 |
transcript.whisperx[573].end |
14453.257 |
transcript.whisperx[573].text |
了解 |
transcript.whisperx[574].start |
14464.743 |
transcript.whisperx[574].end |
14485.864 |
transcript.whisperx[574].text |
我講我們這個政策才在上個月沒有應該是兩三個禮拜前確認然後現在正在去規劃每一區的政府區然後現在已經有15團的所以我們會去針對重要的產區去做規劃大力道有政策要有效率而且要有效果雙效合一人民才有感 |
transcript.whisperx[575].start |
14487.306 |
transcript.whisperx[575].end |
14508.708 |
transcript.whisperx[575].text |
現在AI的產業會影響到農業相關系統的招生狀況嗎?比如說人文相關系統受到影響對不對?大家都往AI相關的產業去就學大學的招生都是往AI會不會影響到農業相關系統的招生 |
transcript.whisperx[576].start |
14509.788 |
transcript.whisperx[576].end |
14531.347 |
transcript.whisperx[576].text |
我想會有一些影響 今年狀況你們有沒有去了解 我們有曾經跟相關的大學的老師去討論那相關的就是AI的部分可能是 你們是預測未來10年我們農業相關系所的招生的下降的比率 人數的比率這個都要 |
transcript.whisperx[577].start |
14532.674 |
transcript.whisperx[577].end |
14546.935 |
transcript.whisperx[577].text |
對阿你要有10年期的計劃按照這些變化裡面有哪些對策最後再10秒鐘齁我前天去看這個永安永安這個永信漁港要永安去永信漁港那個我想張書文也在齁 |
transcript.whisperx[578].start |
14548.637 |
transcript.whisperx[578].end |
14569.419 |
transcript.whisperx[578].text |
這個永興漁港在永安區它的這個過去的這個漁港設施當然是老舊了那現在海洋局提出了這個計畫我也當面去看這個對漁民對漁業都有很大的幫助我希望說張署長跟這個陳部長能夠全力支持對我們確定會支持這三千萬你來倒數你勒 |
transcript.whisperx[579].start |
14571.786 |
transcript.whisperx[579].end |
14571.806 |
transcript.whisperx[579].text |
好 謝謝 |
transcript.whisperx[580].start |
14603.035 |
transcript.whisperx[580].end |
14603.681 |
transcript.whisperx[580].text |
那接下來 |
transcript.whisperx[581].start |
14607.947 |
transcript.whisperx[581].end |
14633.158 |
transcript.whisperx[581].text |
我們登記發言的委員除了不在場外其餘都已經發言完畢,詢答結束我們有陳庭輝委員以及陳冠廷委員所提的書面質詢列入記錄刊登公報那書面質詢以及位置答覆的部分請於一周之內以書面答覆並複製本會那本日議程處理完畢謝謝大家散會我們休息兩分鐘就繼續協商 |
transcript.whisperx[582].start |
14637.356 |
transcript.whisperx[582].end |
14637.556 |
transcript.whisperx[582].text |
主席 |