IVOD_ID |
16713 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16713 |
日期 |
2025-05-28 |
會議資料.會議代碼 |
委員會-11-3-19-15 |
會議資料.會議代碼:str |
第11屆第3會期經濟委員會第15次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
15 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第3會期經濟委員會第15次全體委員會議 |
影片種類 |
Full |
開始時間 |
2025-05-28T08:31:46+08:00 |
結束時間 |
2025-05-28T12:42:00+08:00 |
影片長度 |
04:10:14 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbdabd91bd523f6fd00cc1067dc387cc1fa12e9ca99aa835c07e1681ca6e2be1735ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-05-28T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期經濟委員會第15次全體委員會議(事由:審查:
一、本院委員謝衣鳯等16人擬具「農民退休儲金條例第七條條文修正草案」案。
二、本院委員郭國文等17人擬具「農民退休儲金條例第七條條文修正草案」案。(詢答)) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:46 - 12:42:00 |
transcript.pyannote[0].speaker |
SPEAKER_13 |
transcript.pyannote[0].start |
782.28846875 |
transcript.pyannote[0].end |
783.80721875 |
transcript.pyannote[1].speaker |
SPEAKER_13 |
transcript.pyannote[1].start |
783.84096875 |
transcript.pyannote[1].end |
784.02659375 |
transcript.pyannote[2].speaker |
SPEAKER_04 |
transcript.pyannote[2].start |
1720.33596875 |
transcript.pyannote[2].end |
1722.02346875 |
transcript.pyannote[3].speaker |
SPEAKER_16 |
transcript.pyannote[3].start |
1724.11596875 |
transcript.pyannote[3].end |
1724.94284375 |
transcript.pyannote[4].speaker |
SPEAKER_16 |
transcript.pyannote[4].start |
1725.14534375 |
transcript.pyannote[4].end |
1727.37284375 |
transcript.pyannote[5].speaker |
SPEAKER_04 |
transcript.pyannote[5].start |
1729.33034375 |
transcript.pyannote[5].end |
1732.95846875 |
transcript.pyannote[6].speaker |
SPEAKER_12 |
transcript.pyannote[6].start |
1733.38034375 |
transcript.pyannote[6].end |
1749.14159375 |
transcript.pyannote[7].speaker |
SPEAKER_12 |
transcript.pyannote[7].start |
1749.32721875 |
transcript.pyannote[7].end |
1763.45159375 |
transcript.pyannote[8].speaker |
SPEAKER_12 |
transcript.pyannote[8].start |
1763.75534375 |
transcript.pyannote[8].end |
1764.04221875 |
transcript.pyannote[9].speaker |
SPEAKER_12 |
transcript.pyannote[9].start |
1765.20659375 |
transcript.pyannote[9].end |
1766.94471875 |
transcript.pyannote[10].speaker |
SPEAKER_12 |
transcript.pyannote[10].start |
1767.92346875 |
transcript.pyannote[10].end |
1772.36159375 |
transcript.pyannote[11].speaker |
SPEAKER_12 |
transcript.pyannote[11].start |
1772.86784375 |
transcript.pyannote[11].end |
1786.85721875 |
transcript.pyannote[12].speaker |
SPEAKER_12 |
transcript.pyannote[12].start |
1787.41409375 |
transcript.pyannote[12].end |
1794.13034375 |
transcript.pyannote[13].speaker |
SPEAKER_12 |
transcript.pyannote[13].start |
1794.50159375 |
transcript.pyannote[13].end |
1810.85346875 |
transcript.pyannote[14].speaker |
SPEAKER_12 |
transcript.pyannote[14].start |
1811.46096875 |
transcript.pyannote[14].end |
1855.57221875 |
transcript.pyannote[15].speaker |
SPEAKER_12 |
transcript.pyannote[15].start |
1856.07846875 |
transcript.pyannote[15].end |
1861.30971875 |
transcript.pyannote[16].speaker |
SPEAKER_12 |
transcript.pyannote[16].start |
1861.37721875 |
transcript.pyannote[16].end |
1862.54159375 |
transcript.pyannote[17].speaker |
SPEAKER_12 |
transcript.pyannote[17].start |
1862.84534375 |
transcript.pyannote[17].end |
1884.29346875 |
transcript.pyannote[18].speaker |
SPEAKER_12 |
transcript.pyannote[18].start |
1884.47909375 |
transcript.pyannote[18].end |
1891.68471875 |
transcript.pyannote[19].speaker |
SPEAKER_12 |
transcript.pyannote[19].start |
1891.90409375 |
transcript.pyannote[19].end |
1892.76471875 |
transcript.pyannote[20].speaker |
SPEAKER_12 |
transcript.pyannote[20].start |
1892.83221875 |
transcript.pyannote[20].end |
1915.73159375 |
transcript.pyannote[21].speaker |
SPEAKER_12 |
transcript.pyannote[21].start |
1915.96784375 |
transcript.pyannote[21].end |
1916.96346875 |
transcript.pyannote[22].speaker |
SPEAKER_12 |
transcript.pyannote[22].start |
1917.77346875 |
transcript.pyannote[22].end |
1933.16346875 |
transcript.pyannote[23].speaker |
SPEAKER_12 |
transcript.pyannote[23].start |
1933.58534375 |
transcript.pyannote[23].end |
1940.63909375 |
transcript.pyannote[24].speaker |
SPEAKER_12 |
transcript.pyannote[24].start |
1940.82471875 |
transcript.pyannote[24].end |
1946.25846875 |
transcript.pyannote[25].speaker |
SPEAKER_12 |
transcript.pyannote[25].start |
1946.56221875 |
transcript.pyannote[25].end |
1958.66159375 |
transcript.pyannote[26].speaker |
SPEAKER_12 |
transcript.pyannote[26].start |
1958.83034375 |
transcript.pyannote[26].end |
1965.76596875 |
transcript.pyannote[27].speaker |
SPEAKER_12 |
transcript.pyannote[27].start |
1966.87971875 |
transcript.pyannote[27].end |
1970.60909375 |
transcript.pyannote[28].speaker |
SPEAKER_12 |
transcript.pyannote[28].start |
1970.91284375 |
transcript.pyannote[28].end |
1973.14034375 |
transcript.pyannote[29].speaker |
SPEAKER_12 |
transcript.pyannote[29].start |
1973.19096875 |
transcript.pyannote[29].end |
1978.00034375 |
transcript.pyannote[30].speaker |
SPEAKER_12 |
transcript.pyannote[30].start |
1978.28721875 |
transcript.pyannote[30].end |
2011.95284375 |
transcript.pyannote[31].speaker |
SPEAKER_12 |
transcript.pyannote[31].start |
2012.57721875 |
transcript.pyannote[31].end |
2034.61596875 |
transcript.pyannote[32].speaker |
SPEAKER_12 |
transcript.pyannote[32].start |
2035.05471875 |
transcript.pyannote[32].end |
2035.76346875 |
transcript.pyannote[33].speaker |
SPEAKER_12 |
transcript.pyannote[33].start |
2036.33721875 |
transcript.pyannote[33].end |
2036.70846875 |
transcript.pyannote[34].speaker |
SPEAKER_12 |
transcript.pyannote[34].start |
2036.89409375 |
transcript.pyannote[34].end |
2038.58159375 |
transcript.pyannote[35].speaker |
SPEAKER_12 |
transcript.pyannote[35].start |
2038.73346875 |
transcript.pyannote[35].end |
2042.29409375 |
transcript.pyannote[36].speaker |
SPEAKER_12 |
transcript.pyannote[36].start |
2042.42909375 |
transcript.pyannote[36].end |
2064.18096875 |
transcript.pyannote[37].speaker |
SPEAKER_12 |
transcript.pyannote[37].start |
2064.94034375 |
transcript.pyannote[37].end |
2083.75596875 |
transcript.pyannote[38].speaker |
SPEAKER_12 |
transcript.pyannote[38].start |
2083.97534375 |
transcript.pyannote[38].end |
2103.41534375 |
transcript.pyannote[39].speaker |
SPEAKER_12 |
transcript.pyannote[39].start |
2104.36034375 |
transcript.pyannote[39].end |
2108.17409375 |
transcript.pyannote[40].speaker |
SPEAKER_12 |
transcript.pyannote[40].start |
2108.24159375 |
transcript.pyannote[40].end |
2121.20159375 |
transcript.pyannote[41].speaker |
SPEAKER_12 |
transcript.pyannote[41].start |
2122.41659375 |
transcript.pyannote[41].end |
2129.36909375 |
transcript.pyannote[42].speaker |
SPEAKER_12 |
transcript.pyannote[42].start |
2130.04409375 |
transcript.pyannote[42].end |
2146.51409375 |
transcript.pyannote[43].speaker |
SPEAKER_12 |
transcript.pyannote[43].start |
2146.61534375 |
transcript.pyannote[43].end |
2154.47909375 |
transcript.pyannote[44].speaker |
SPEAKER_12 |
transcript.pyannote[44].start |
2154.61409375 |
transcript.pyannote[44].end |
2158.29284375 |
transcript.pyannote[45].speaker |
SPEAKER_12 |
transcript.pyannote[45].start |
2159.62596875 |
transcript.pyannote[45].end |
2162.64659375 |
transcript.pyannote[46].speaker |
SPEAKER_12 |
transcript.pyannote[46].start |
2163.30471875 |
transcript.pyannote[46].end |
2172.88971875 |
transcript.pyannote[47].speaker |
SPEAKER_12 |
transcript.pyannote[47].start |
2173.21034375 |
transcript.pyannote[47].end |
2194.65846875 |
transcript.pyannote[48].speaker |
SPEAKER_12 |
transcript.pyannote[48].start |
2194.92846875 |
transcript.pyannote[48].end |
2197.93221875 |
transcript.pyannote[49].speaker |
SPEAKER_04 |
transcript.pyannote[49].start |
2199.94034375 |
transcript.pyannote[49].end |
2200.15971875 |
transcript.pyannote[50].speaker |
SPEAKER_04 |
transcript.pyannote[50].start |
2200.58159375 |
transcript.pyannote[50].end |
2203.92284375 |
transcript.pyannote[51].speaker |
SPEAKER_04 |
transcript.pyannote[51].start |
2205.07034375 |
transcript.pyannote[51].end |
2210.94284375 |
transcript.pyannote[52].speaker |
SPEAKER_12 |
transcript.pyannote[52].start |
2210.94284375 |
transcript.pyannote[52].end |
2217.65909375 |
transcript.pyannote[53].speaker |
SPEAKER_12 |
transcript.pyannote[53].start |
2217.74346875 |
transcript.pyannote[53].end |
2223.34596875 |
transcript.pyannote[54].speaker |
SPEAKER_04 |
transcript.pyannote[54].start |
2224.76346875 |
transcript.pyannote[54].end |
2225.08409375 |
transcript.pyannote[55].speaker |
SPEAKER_04 |
transcript.pyannote[55].start |
2225.92784375 |
transcript.pyannote[55].end |
2240.71034375 |
transcript.pyannote[56].speaker |
SPEAKER_04 |
transcript.pyannote[56].start |
2253.65346875 |
transcript.pyannote[56].end |
2277.07596875 |
transcript.pyannote[57].speaker |
SPEAKER_04 |
transcript.pyannote[57].start |
2277.83534375 |
transcript.pyannote[57].end |
2278.64534375 |
transcript.pyannote[58].speaker |
SPEAKER_04 |
transcript.pyannote[58].start |
2279.75909375 |
transcript.pyannote[58].end |
2288.63534375 |
transcript.pyannote[59].speaker |
SPEAKER_04 |
transcript.pyannote[59].start |
2289.05721875 |
transcript.pyannote[59].end |
2309.71221875 |
transcript.pyannote[60].speaker |
SPEAKER_04 |
transcript.pyannote[60].start |
2310.30284375 |
transcript.pyannote[60].end |
2311.82159375 |
transcript.pyannote[61].speaker |
SPEAKER_04 |
transcript.pyannote[61].start |
2311.87221875 |
transcript.pyannote[61].end |
2317.71096875 |
transcript.pyannote[62].speaker |
SPEAKER_04 |
transcript.pyannote[62].start |
2317.81221875 |
transcript.pyannote[62].end |
2322.63846875 |
transcript.pyannote[63].speaker |
SPEAKER_04 |
transcript.pyannote[63].start |
2322.87471875 |
transcript.pyannote[63].end |
2327.41409375 |
transcript.pyannote[64].speaker |
SPEAKER_04 |
transcript.pyannote[64].start |
2328.62909375 |
transcript.pyannote[64].end |
2330.50221875 |
transcript.pyannote[65].speaker |
SPEAKER_04 |
transcript.pyannote[65].start |
2330.68784375 |
transcript.pyannote[65].end |
2352.60846875 |
transcript.pyannote[66].speaker |
SPEAKER_04 |
transcript.pyannote[66].start |
2353.40159375 |
transcript.pyannote[66].end |
2363.93159375 |
transcript.pyannote[67].speaker |
SPEAKER_04 |
transcript.pyannote[67].start |
2364.92721875 |
transcript.pyannote[67].end |
2386.17284375 |
transcript.pyannote[68].speaker |
SPEAKER_04 |
transcript.pyannote[68].start |
2386.42596875 |
transcript.pyannote[68].end |
2402.35596875 |
transcript.pyannote[69].speaker |
SPEAKER_04 |
transcript.pyannote[69].start |
2415.55221875 |
transcript.pyannote[69].end |
2420.88471875 |
transcript.pyannote[70].speaker |
SPEAKER_17 |
transcript.pyannote[70].start |
2429.40659375 |
transcript.pyannote[70].end |
2432.89971875 |
transcript.pyannote[71].speaker |
SPEAKER_17 |
transcript.pyannote[71].start |
2434.73909375 |
transcript.pyannote[71].end |
2438.04659375 |
transcript.pyannote[72].speaker |
SPEAKER_17 |
transcript.pyannote[72].start |
2439.37971875 |
transcript.pyannote[72].end |
2450.28096875 |
transcript.pyannote[73].speaker |
SPEAKER_17 |
transcript.pyannote[73].start |
2450.50034375 |
transcript.pyannote[73].end |
2456.35596875 |
transcript.pyannote[74].speaker |
SPEAKER_17 |
transcript.pyannote[74].start |
2457.13221875 |
transcript.pyannote[74].end |
2466.98721875 |
transcript.pyannote[75].speaker |
SPEAKER_17 |
transcript.pyannote[75].start |
2467.79721875 |
transcript.pyannote[75].end |
2470.93596875 |
transcript.pyannote[76].speaker |
SPEAKER_17 |
transcript.pyannote[76].start |
2470.96971875 |
transcript.pyannote[76].end |
2475.28971875 |
transcript.pyannote[77].speaker |
SPEAKER_17 |
transcript.pyannote[77].start |
2475.34034375 |
transcript.pyannote[77].end |
2521.02096875 |
transcript.pyannote[78].speaker |
SPEAKER_17 |
transcript.pyannote[78].start |
2521.07159375 |
transcript.pyannote[78].end |
2542.50284375 |
transcript.pyannote[79].speaker |
SPEAKER_17 |
transcript.pyannote[79].start |
2542.75596875 |
transcript.pyannote[79].end |
2548.22346875 |
transcript.pyannote[80].speaker |
SPEAKER_17 |
transcript.pyannote[80].start |
2548.61159375 |
transcript.pyannote[80].end |
2582.69909375 |
transcript.pyannote[81].speaker |
SPEAKER_17 |
transcript.pyannote[81].start |
2582.96909375 |
transcript.pyannote[81].end |
2619.04784375 |
transcript.pyannote[82].speaker |
SPEAKER_17 |
transcript.pyannote[82].start |
2620.02659375 |
transcript.pyannote[82].end |
2630.23596875 |
transcript.pyannote[83].speaker |
SPEAKER_17 |
transcript.pyannote[83].start |
2630.32034375 |
transcript.pyannote[83].end |
2641.35659375 |
transcript.pyannote[84].speaker |
SPEAKER_17 |
transcript.pyannote[84].start |
2641.55909375 |
transcript.pyannote[84].end |
2642.55471875 |
transcript.pyannote[85].speaker |
SPEAKER_17 |
transcript.pyannote[85].start |
2643.21284375 |
transcript.pyannote[85].end |
2655.07596875 |
transcript.pyannote[86].speaker |
SPEAKER_17 |
transcript.pyannote[86].start |
2655.19409375 |
transcript.pyannote[86].end |
2657.26971875 |
transcript.pyannote[87].speaker |
SPEAKER_17 |
transcript.pyannote[87].start |
2657.43846875 |
transcript.pyannote[87].end |
2660.27346875 |
transcript.pyannote[88].speaker |
SPEAKER_17 |
transcript.pyannote[88].start |
2660.37471875 |
transcript.pyannote[88].end |
2660.94846875 |
transcript.pyannote[89].speaker |
SPEAKER_17 |
transcript.pyannote[89].start |
2661.37034375 |
transcript.pyannote[89].end |
2661.94409375 |
transcript.pyannote[90].speaker |
SPEAKER_17 |
transcript.pyannote[90].start |
2662.56846875 |
transcript.pyannote[90].end |
2679.05534375 |
transcript.pyannote[91].speaker |
SPEAKER_17 |
transcript.pyannote[91].start |
2679.40971875 |
transcript.pyannote[91].end |
2679.79784375 |
transcript.pyannote[92].speaker |
SPEAKER_17 |
transcript.pyannote[92].start |
2680.81034375 |
transcript.pyannote[92].end |
2682.80159375 |
transcript.pyannote[93].speaker |
SPEAKER_17 |
transcript.pyannote[93].start |
2683.47659375 |
transcript.pyannote[93].end |
2684.01659375 |
transcript.pyannote[94].speaker |
SPEAKER_17 |
transcript.pyannote[94].start |
2685.21471875 |
transcript.pyannote[94].end |
2686.91909375 |
transcript.pyannote[95].speaker |
SPEAKER_17 |
transcript.pyannote[95].start |
2687.59409375 |
transcript.pyannote[95].end |
2694.20909375 |
transcript.pyannote[96].speaker |
SPEAKER_17 |
transcript.pyannote[96].start |
2694.39471875 |
transcript.pyannote[96].end |
2701.54971875 |
transcript.pyannote[97].speaker |
SPEAKER_17 |
transcript.pyannote[97].start |
2701.83659375 |
transcript.pyannote[97].end |
2708.08034375 |
transcript.pyannote[98].speaker |
SPEAKER_17 |
transcript.pyannote[98].start |
2708.31659375 |
transcript.pyannote[98].end |
2720.68596875 |
transcript.pyannote[99].speaker |
SPEAKER_17 |
transcript.pyannote[99].start |
2720.90534375 |
transcript.pyannote[99].end |
2728.27971875 |
transcript.pyannote[100].speaker |
SPEAKER_17 |
transcript.pyannote[100].start |
2729.51159375 |
transcript.pyannote[100].end |
2729.86596875 |
transcript.pyannote[101].speaker |
SPEAKER_17 |
transcript.pyannote[101].start |
2730.30471875 |
transcript.pyannote[101].end |
2731.28346875 |
transcript.pyannote[102].speaker |
SPEAKER_17 |
transcript.pyannote[102].start |
2732.07659375 |
transcript.pyannote[102].end |
2732.21159375 |
transcript.pyannote[103].speaker |
SPEAKER_17 |
transcript.pyannote[103].start |
2732.41409375 |
transcript.pyannote[103].end |
2733.32534375 |
transcript.pyannote[104].speaker |
SPEAKER_17 |
transcript.pyannote[104].start |
2733.78096875 |
transcript.pyannote[104].end |
2744.37846875 |
transcript.pyannote[105].speaker |
SPEAKER_17 |
transcript.pyannote[105].start |
2745.30659375 |
transcript.pyannote[105].end |
2746.30221875 |
transcript.pyannote[106].speaker |
SPEAKER_17 |
transcript.pyannote[106].start |
2746.75784375 |
transcript.pyannote[106].end |
2752.12409375 |
transcript.pyannote[107].speaker |
SPEAKER_17 |
transcript.pyannote[107].start |
2752.22534375 |
transcript.pyannote[107].end |
2754.09846875 |
transcript.pyannote[108].speaker |
SPEAKER_17 |
transcript.pyannote[108].start |
2754.26721875 |
transcript.pyannote[108].end |
2757.27096875 |
transcript.pyannote[109].speaker |
SPEAKER_17 |
transcript.pyannote[109].start |
2757.59159375 |
transcript.pyannote[109].end |
2769.42096875 |
transcript.pyannote[110].speaker |
SPEAKER_17 |
transcript.pyannote[110].start |
2769.99471875 |
transcript.pyannote[110].end |
2790.83534375 |
transcript.pyannote[111].speaker |
SPEAKER_17 |
transcript.pyannote[111].start |
2790.90284375 |
transcript.pyannote[111].end |
2795.07096875 |
transcript.pyannote[112].speaker |
SPEAKER_17 |
transcript.pyannote[112].start |
2795.49284375 |
transcript.pyannote[112].end |
2796.74159375 |
transcript.pyannote[113].speaker |
SPEAKER_17 |
transcript.pyannote[113].start |
2797.21409375 |
transcript.pyannote[113].end |
2801.24721875 |
transcript.pyannote[114].speaker |
SPEAKER_17 |
transcript.pyannote[114].start |
2801.65221875 |
transcript.pyannote[114].end |
2814.13971875 |
transcript.pyannote[115].speaker |
SPEAKER_17 |
transcript.pyannote[115].start |
2814.57846875 |
transcript.pyannote[115].end |
2828.31471875 |
transcript.pyannote[116].speaker |
SPEAKER_17 |
transcript.pyannote[116].start |
2828.97284375 |
transcript.pyannote[116].end |
2848.07534375 |
transcript.pyannote[117].speaker |
SPEAKER_17 |
transcript.pyannote[117].start |
2848.22721875 |
transcript.pyannote[117].end |
2851.88909375 |
transcript.pyannote[118].speaker |
SPEAKER_17 |
transcript.pyannote[118].start |
2851.97346875 |
transcript.pyannote[118].end |
2854.40346875 |
transcript.pyannote[119].speaker |
SPEAKER_17 |
transcript.pyannote[119].start |
2854.58909375 |
transcript.pyannote[119].end |
2857.39034375 |
transcript.pyannote[120].speaker |
SPEAKER_17 |
transcript.pyannote[120].start |
2857.50846875 |
transcript.pyannote[120].end |
2877.31971875 |
transcript.pyannote[121].speaker |
SPEAKER_17 |
transcript.pyannote[121].start |
2877.42096875 |
transcript.pyannote[121].end |
2883.15846875 |
transcript.pyannote[122].speaker |
SPEAKER_17 |
transcript.pyannote[122].start |
2883.37784375 |
transcript.pyannote[122].end |
2885.74034375 |
transcript.pyannote[123].speaker |
SPEAKER_17 |
transcript.pyannote[123].start |
2886.48284375 |
transcript.pyannote[123].end |
2890.97159375 |
transcript.pyannote[124].speaker |
SPEAKER_17 |
transcript.pyannote[124].start |
2891.32596875 |
transcript.pyannote[124].end |
2897.02971875 |
transcript.pyannote[125].speaker |
SPEAKER_17 |
transcript.pyannote[125].start |
2897.35034375 |
transcript.pyannote[125].end |
2915.40659375 |
transcript.pyannote[126].speaker |
SPEAKER_04 |
transcript.pyannote[126].start |
2916.60471875 |
transcript.pyannote[126].end |
2917.53284375 |
transcript.pyannote[127].speaker |
SPEAKER_04 |
transcript.pyannote[127].start |
2917.68471875 |
transcript.pyannote[127].end |
2937.52971875 |
transcript.pyannote[128].speaker |
SPEAKER_05 |
transcript.pyannote[128].start |
2948.05971875 |
transcript.pyannote[128].end |
2948.54909375 |
transcript.pyannote[129].speaker |
SPEAKER_05 |
transcript.pyannote[129].start |
2948.86971875 |
transcript.pyannote[129].end |
2950.21971875 |
transcript.pyannote[130].speaker |
SPEAKER_05 |
transcript.pyannote[130].start |
2950.69221875 |
transcript.pyannote[130].end |
2952.54846875 |
transcript.pyannote[131].speaker |
SPEAKER_03 |
transcript.pyannote[131].start |
2953.00409375 |
transcript.pyannote[131].end |
2953.51034375 |
transcript.pyannote[132].speaker |
SPEAKER_17 |
transcript.pyannote[132].start |
2959.51784375 |
transcript.pyannote[132].end |
2959.95659375 |
transcript.pyannote[133].speaker |
SPEAKER_05 |
transcript.pyannote[133].start |
2960.37846875 |
transcript.pyannote[133].end |
2964.88409375 |
transcript.pyannote[134].speaker |
SPEAKER_05 |
transcript.pyannote[134].start |
2965.37346875 |
transcript.pyannote[134].end |
2968.41096875 |
transcript.pyannote[135].speaker |
SPEAKER_05 |
transcript.pyannote[135].start |
2968.69784375 |
transcript.pyannote[135].end |
2972.02221875 |
transcript.pyannote[136].speaker |
SPEAKER_17 |
transcript.pyannote[136].start |
2971.75221875 |
transcript.pyannote[136].end |
2977.47284375 |
transcript.pyannote[137].speaker |
SPEAKER_05 |
transcript.pyannote[137].start |
2973.49034375 |
transcript.pyannote[137].end |
2976.51096875 |
transcript.pyannote[138].speaker |
SPEAKER_05 |
transcript.pyannote[138].start |
2977.20284375 |
transcript.pyannote[138].end |
2986.65284375 |
transcript.pyannote[139].speaker |
SPEAKER_17 |
transcript.pyannote[139].start |
2978.82284375 |
transcript.pyannote[139].end |
2979.24471875 |
transcript.pyannote[140].speaker |
SPEAKER_13 |
transcript.pyannote[140].start |
2986.65284375 |
transcript.pyannote[140].end |
2987.00721875 |
transcript.pyannote[141].speaker |
SPEAKER_05 |
transcript.pyannote[141].start |
2987.00721875 |
transcript.pyannote[141].end |
2987.59784375 |
transcript.pyannote[142].speaker |
SPEAKER_05 |
transcript.pyannote[142].start |
2987.96909375 |
transcript.pyannote[142].end |
2989.31909375 |
transcript.pyannote[143].speaker |
SPEAKER_05 |
transcript.pyannote[143].start |
2989.43721875 |
transcript.pyannote[143].end |
2989.84221875 |
transcript.pyannote[144].speaker |
SPEAKER_05 |
transcript.pyannote[144].start |
2990.23034375 |
transcript.pyannote[144].end |
2991.76596875 |
transcript.pyannote[145].speaker |
SPEAKER_05 |
transcript.pyannote[145].start |
2991.98534375 |
transcript.pyannote[145].end |
3005.19846875 |
transcript.pyannote[146].speaker |
SPEAKER_05 |
transcript.pyannote[146].start |
3005.63721875 |
transcript.pyannote[146].end |
3008.72534375 |
transcript.pyannote[147].speaker |
SPEAKER_05 |
transcript.pyannote[147].start |
3008.94471875 |
transcript.pyannote[147].end |
3011.56034375 |
transcript.pyannote[148].speaker |
SPEAKER_05 |
transcript.pyannote[148].start |
3011.74596875 |
transcript.pyannote[148].end |
3012.77534375 |
transcript.pyannote[149].speaker |
SPEAKER_05 |
transcript.pyannote[149].start |
3013.53471875 |
transcript.pyannote[149].end |
3021.29721875 |
transcript.pyannote[150].speaker |
SPEAKER_13 |
transcript.pyannote[150].start |
3020.95971875 |
transcript.pyannote[150].end |
3021.28034375 |
transcript.pyannote[151].speaker |
SPEAKER_13 |
transcript.pyannote[151].start |
3021.29721875 |
transcript.pyannote[151].end |
3021.31409375 |
transcript.pyannote[152].speaker |
SPEAKER_05 |
transcript.pyannote[152].start |
3022.54596875 |
transcript.pyannote[152].end |
3023.76096875 |
transcript.pyannote[153].speaker |
SPEAKER_13 |
transcript.pyannote[153].start |
3022.95096875 |
transcript.pyannote[153].end |
3024.08159375 |
transcript.pyannote[154].speaker |
SPEAKER_05 |
transcript.pyannote[154].start |
3024.18284375 |
transcript.pyannote[154].end |
3024.53721875 |
transcript.pyannote[155].speaker |
SPEAKER_05 |
transcript.pyannote[155].start |
3024.79034375 |
transcript.pyannote[155].end |
3026.95034375 |
transcript.pyannote[156].speaker |
SPEAKER_05 |
transcript.pyannote[156].start |
3027.15284375 |
transcript.pyannote[156].end |
3029.09346875 |
transcript.pyannote[157].speaker |
SPEAKER_05 |
transcript.pyannote[157].start |
3029.53221875 |
transcript.pyannote[157].end |
3030.84846875 |
transcript.pyannote[158].speaker |
SPEAKER_05 |
transcript.pyannote[158].start |
3031.16909375 |
transcript.pyannote[158].end |
3033.46409375 |
transcript.pyannote[159].speaker |
SPEAKER_05 |
transcript.pyannote[159].start |
3033.53159375 |
transcript.pyannote[159].end |
3036.06284375 |
transcript.pyannote[160].speaker |
SPEAKER_14 |
transcript.pyannote[160].start |
3036.02909375 |
transcript.pyannote[160].end |
3036.41721875 |
transcript.pyannote[161].speaker |
SPEAKER_05 |
transcript.pyannote[161].start |
3036.41721875 |
transcript.pyannote[161].end |
3038.23971875 |
transcript.pyannote[162].speaker |
SPEAKER_05 |
transcript.pyannote[162].start |
3039.58971875 |
transcript.pyannote[162].end |
3051.72284375 |
transcript.pyannote[163].speaker |
SPEAKER_05 |
transcript.pyannote[163].start |
3052.09409375 |
transcript.pyannote[163].end |
3055.73909375 |
transcript.pyannote[164].speaker |
SPEAKER_05 |
transcript.pyannote[164].start |
3056.39721875 |
transcript.pyannote[164].end |
3057.35909375 |
transcript.pyannote[165].speaker |
SPEAKER_05 |
transcript.pyannote[165].start |
3058.05096875 |
transcript.pyannote[165].end |
3063.09659375 |
transcript.pyannote[166].speaker |
SPEAKER_17 |
transcript.pyannote[166].start |
3063.33284375 |
transcript.pyannote[166].end |
3072.52971875 |
transcript.pyannote[167].speaker |
SPEAKER_14 |
transcript.pyannote[167].start |
3072.49596875 |
transcript.pyannote[167].end |
3072.81659375 |
transcript.pyannote[168].speaker |
SPEAKER_17 |
transcript.pyannote[168].start |
3072.78284375 |
transcript.pyannote[168].end |
3078.25034375 |
transcript.pyannote[169].speaker |
SPEAKER_14 |
transcript.pyannote[169].start |
3078.25034375 |
transcript.pyannote[169].end |
3078.75659375 |
transcript.pyannote[170].speaker |
SPEAKER_17 |
transcript.pyannote[170].start |
3078.31784375 |
transcript.pyannote[170].end |
3078.36846875 |
transcript.pyannote[171].speaker |
SPEAKER_17 |
transcript.pyannote[171].start |
3078.38534375 |
transcript.pyannote[171].end |
3078.85784375 |
transcript.pyannote[172].speaker |
SPEAKER_17 |
transcript.pyannote[172].start |
3079.07721875 |
transcript.pyannote[172].end |
3079.54971875 |
transcript.pyannote[173].speaker |
SPEAKER_17 |
transcript.pyannote[173].start |
3080.41034375 |
transcript.pyannote[173].end |
3088.02096875 |
transcript.pyannote[174].speaker |
SPEAKER_15 |
transcript.pyannote[174].start |
3087.81846875 |
transcript.pyannote[174].end |
3088.24034375 |
transcript.pyannote[175].speaker |
SPEAKER_17 |
transcript.pyannote[175].start |
3088.17284375 |
transcript.pyannote[175].end |
3089.38784375 |
transcript.pyannote[176].speaker |
SPEAKER_17 |
transcript.pyannote[176].start |
3089.80971875 |
transcript.pyannote[176].end |
3099.61409375 |
transcript.pyannote[177].speaker |
SPEAKER_17 |
transcript.pyannote[177].start |
3099.73221875 |
transcript.pyannote[177].end |
3141.63284375 |
transcript.pyannote[178].speaker |
SPEAKER_05 |
transcript.pyannote[178].start |
3137.97096875 |
transcript.pyannote[178].end |
3138.56159375 |
transcript.pyannote[179].speaker |
SPEAKER_17 |
transcript.pyannote[179].start |
3141.85221875 |
transcript.pyannote[179].end |
3146.62784375 |
transcript.pyannote[180].speaker |
SPEAKER_05 |
transcript.pyannote[180].start |
3146.62784375 |
transcript.pyannote[180].end |
3149.42909375 |
transcript.pyannote[181].speaker |
SPEAKER_17 |
transcript.pyannote[181].start |
3149.27721875 |
transcript.pyannote[181].end |
3149.68221875 |
transcript.pyannote[182].speaker |
SPEAKER_05 |
transcript.pyannote[182].start |
3149.63159375 |
transcript.pyannote[182].end |
3150.61034375 |
transcript.pyannote[183].speaker |
SPEAKER_05 |
transcript.pyannote[183].start |
3151.16721875 |
transcript.pyannote[183].end |
3152.14596875 |
transcript.pyannote[184].speaker |
SPEAKER_05 |
transcript.pyannote[184].start |
3152.33159375 |
transcript.pyannote[184].end |
3155.08221875 |
transcript.pyannote[185].speaker |
SPEAKER_05 |
transcript.pyannote[185].start |
3155.36909375 |
transcript.pyannote[185].end |
3157.44471875 |
transcript.pyannote[186].speaker |
SPEAKER_05 |
transcript.pyannote[186].start |
3158.22096875 |
transcript.pyannote[186].end |
3159.41909375 |
transcript.pyannote[187].speaker |
SPEAKER_05 |
transcript.pyannote[187].start |
3159.77346875 |
transcript.pyannote[187].end |
3161.17409375 |
transcript.pyannote[188].speaker |
SPEAKER_14 |
transcript.pyannote[188].start |
3159.89159375 |
transcript.pyannote[188].end |
3160.36409375 |
transcript.pyannote[189].speaker |
SPEAKER_14 |
transcript.pyannote[189].start |
3161.62971875 |
transcript.pyannote[189].end |
3162.01784375 |
transcript.pyannote[190].speaker |
SPEAKER_05 |
transcript.pyannote[190].start |
3161.76471875 |
transcript.pyannote[190].end |
3163.43534375 |
transcript.pyannote[191].speaker |
SPEAKER_14 |
transcript.pyannote[191].start |
3163.28346875 |
transcript.pyannote[191].end |
3163.70534375 |
transcript.pyannote[192].speaker |
SPEAKER_05 |
transcript.pyannote[192].start |
3164.76846875 |
transcript.pyannote[192].end |
3173.59409375 |
transcript.pyannote[193].speaker |
SPEAKER_08 |
transcript.pyannote[193].start |
3172.27784375 |
transcript.pyannote[193].end |
3172.51409375 |
transcript.pyannote[194].speaker |
SPEAKER_05 |
transcript.pyannote[194].start |
3174.42096875 |
transcript.pyannote[194].end |
3178.18409375 |
transcript.pyannote[195].speaker |
SPEAKER_05 |
transcript.pyannote[195].start |
3178.77471875 |
transcript.pyannote[195].end |
3181.55909375 |
transcript.pyannote[196].speaker |
SPEAKER_05 |
transcript.pyannote[196].start |
3182.04846875 |
transcript.pyannote[196].end |
3189.08534375 |
transcript.pyannote[197].speaker |
SPEAKER_17 |
transcript.pyannote[197].start |
3187.24596875 |
transcript.pyannote[197].end |
3187.61721875 |
transcript.pyannote[198].speaker |
SPEAKER_05 |
transcript.pyannote[198].start |
3189.99659375 |
transcript.pyannote[198].end |
3203.36159375 |
transcript.pyannote[199].speaker |
SPEAKER_17 |
transcript.pyannote[199].start |
3193.43909375 |
transcript.pyannote[199].end |
3195.81846875 |
transcript.pyannote[200].speaker |
SPEAKER_17 |
transcript.pyannote[200].start |
3201.23534375 |
transcript.pyannote[200].end |
3201.74159375 |
transcript.pyannote[201].speaker |
SPEAKER_00 |
transcript.pyannote[201].start |
3201.74159375 |
transcript.pyannote[201].end |
3201.75846875 |
transcript.pyannote[202].speaker |
SPEAKER_05 |
transcript.pyannote[202].start |
3203.66534375 |
transcript.pyannote[202].end |
3206.38221875 |
transcript.pyannote[203].speaker |
SPEAKER_13 |
transcript.pyannote[203].start |
3205.48784375 |
transcript.pyannote[203].end |
3205.96034375 |
transcript.pyannote[204].speaker |
SPEAKER_00 |
transcript.pyannote[204].start |
3205.96034375 |
transcript.pyannote[204].end |
3205.97721875 |
transcript.pyannote[205].speaker |
SPEAKER_05 |
transcript.pyannote[205].start |
3206.66909375 |
transcript.pyannote[205].end |
3212.87909375 |
transcript.pyannote[206].speaker |
SPEAKER_05 |
transcript.pyannote[206].start |
3213.01409375 |
transcript.pyannote[206].end |
3216.77721875 |
transcript.pyannote[207].speaker |
SPEAKER_13 |
transcript.pyannote[207].start |
3216.32159375 |
transcript.pyannote[207].end |
3216.82784375 |
transcript.pyannote[208].speaker |
SPEAKER_05 |
transcript.pyannote[208].start |
3217.18221875 |
transcript.pyannote[208].end |
3217.53659375 |
transcript.pyannote[209].speaker |
SPEAKER_05 |
transcript.pyannote[209].start |
3217.77284375 |
transcript.pyannote[209].end |
3219.37596875 |
transcript.pyannote[210].speaker |
SPEAKER_05 |
transcript.pyannote[210].start |
3220.03409375 |
transcript.pyannote[210].end |
3223.69596875 |
transcript.pyannote[211].speaker |
SPEAKER_13 |
transcript.pyannote[211].start |
3223.67909375 |
transcript.pyannote[211].end |
3224.05034375 |
transcript.pyannote[212].speaker |
SPEAKER_05 |
transcript.pyannote[212].start |
3223.88159375 |
transcript.pyannote[212].end |
3226.07534375 |
transcript.pyannote[213].speaker |
SPEAKER_05 |
transcript.pyannote[213].start |
3226.32846875 |
transcript.pyannote[213].end |
3228.69096875 |
transcript.pyannote[214].speaker |
SPEAKER_05 |
transcript.pyannote[214].start |
3229.23096875 |
transcript.pyannote[214].end |
3232.28534375 |
transcript.pyannote[215].speaker |
SPEAKER_14 |
transcript.pyannote[215].start |
3232.28534375 |
transcript.pyannote[215].end |
3232.60596875 |
transcript.pyannote[216].speaker |
SPEAKER_05 |
transcript.pyannote[216].start |
3232.55534375 |
transcript.pyannote[216].end |
3237.19596875 |
transcript.pyannote[217].speaker |
SPEAKER_14 |
transcript.pyannote[217].start |
3237.22971875 |
transcript.pyannote[217].end |
3237.24659375 |
transcript.pyannote[218].speaker |
SPEAKER_14 |
transcript.pyannote[218].start |
3237.26346875 |
transcript.pyannote[218].end |
3237.61784375 |
transcript.pyannote[219].speaker |
SPEAKER_05 |
transcript.pyannote[219].start |
3237.61784375 |
transcript.pyannote[219].end |
3239.59221875 |
transcript.pyannote[220].speaker |
SPEAKER_13 |
transcript.pyannote[220].start |
3237.63471875 |
transcript.pyannote[220].end |
3237.65159375 |
transcript.pyannote[221].speaker |
SPEAKER_05 |
transcript.pyannote[221].start |
3240.36846875 |
transcript.pyannote[221].end |
3245.11034375 |
transcript.pyannote[222].speaker |
SPEAKER_13 |
transcript.pyannote[222].start |
3245.05971875 |
transcript.pyannote[222].end |
3245.44784375 |
transcript.pyannote[223].speaker |
SPEAKER_05 |
transcript.pyannote[223].start |
3245.48159375 |
transcript.pyannote[223].end |
3247.75971875 |
transcript.pyannote[224].speaker |
SPEAKER_05 |
transcript.pyannote[224].start |
3247.99596875 |
transcript.pyannote[224].end |
3249.85221875 |
transcript.pyannote[225].speaker |
SPEAKER_13 |
transcript.pyannote[225].start |
3249.48096875 |
transcript.pyannote[225].end |
3249.83534375 |
transcript.pyannote[226].speaker |
SPEAKER_13 |
transcript.pyannote[226].start |
3249.85221875 |
transcript.pyannote[226].end |
3249.90284375 |
transcript.pyannote[227].speaker |
SPEAKER_05 |
transcript.pyannote[227].start |
3250.78034375 |
transcript.pyannote[227].end |
3257.27721875 |
transcript.pyannote[228].speaker |
SPEAKER_05 |
transcript.pyannote[228].start |
3257.86784375 |
transcript.pyannote[228].end |
3264.22971875 |
transcript.pyannote[229].speaker |
SPEAKER_17 |
transcript.pyannote[229].start |
3263.79096875 |
transcript.pyannote[229].end |
3277.79721875 |
transcript.pyannote[230].speaker |
SPEAKER_17 |
transcript.pyannote[230].start |
3278.42159375 |
transcript.pyannote[230].end |
3319.02284375 |
transcript.pyannote[231].speaker |
SPEAKER_00 |
transcript.pyannote[231].start |
3289.96409375 |
transcript.pyannote[231].end |
3290.03159375 |
transcript.pyannote[232].speaker |
SPEAKER_13 |
transcript.pyannote[232].start |
3290.03159375 |
transcript.pyannote[232].end |
3290.33534375 |
transcript.pyannote[233].speaker |
SPEAKER_00 |
transcript.pyannote[233].start |
3290.33534375 |
transcript.pyannote[233].end |
3290.40284375 |
transcript.pyannote[234].speaker |
SPEAKER_00 |
transcript.pyannote[234].start |
3310.43346875 |
transcript.pyannote[234].end |
3310.46721875 |
transcript.pyannote[235].speaker |
SPEAKER_04 |
transcript.pyannote[235].start |
3310.46721875 |
transcript.pyannote[235].end |
3310.90596875 |
transcript.pyannote[236].speaker |
SPEAKER_04 |
transcript.pyannote[236].start |
3317.52096875 |
transcript.pyannote[236].end |
3317.53784375 |
transcript.pyannote[237].speaker |
SPEAKER_04 |
transcript.pyannote[237].start |
3317.82471875 |
transcript.pyannote[237].end |
3319.51221875 |
transcript.pyannote[238].speaker |
SPEAKER_17 |
transcript.pyannote[238].start |
3319.29284375 |
transcript.pyannote[238].end |
3340.03221875 |
transcript.pyannote[239].speaker |
SPEAKER_04 |
transcript.pyannote[239].start |
3319.84971875 |
transcript.pyannote[239].end |
3320.35596875 |
transcript.pyannote[240].speaker |
SPEAKER_05 |
transcript.pyannote[240].start |
3339.89721875 |
transcript.pyannote[240].end |
3342.49596875 |
transcript.pyannote[241].speaker |
SPEAKER_05 |
transcript.pyannote[241].start |
3343.10346875 |
transcript.pyannote[241].end |
3366.23909375 |
transcript.pyannote[242].speaker |
SPEAKER_00 |
transcript.pyannote[242].start |
3354.94971875 |
transcript.pyannote[242].end |
3355.47284375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
3358.10534375 |
transcript.pyannote[243].end |
3358.69596875 |
transcript.pyannote[244].speaker |
SPEAKER_00 |
transcript.pyannote[244].start |
3358.93221875 |
transcript.pyannote[244].end |
3359.55659375 |
transcript.pyannote[245].speaker |
SPEAKER_05 |
transcript.pyannote[245].start |
3367.01534375 |
transcript.pyannote[245].end |
3380.17784375 |
transcript.pyannote[246].speaker |
SPEAKER_00 |
transcript.pyannote[246].start |
3372.29721875 |
transcript.pyannote[246].end |
3372.66846875 |
transcript.pyannote[247].speaker |
SPEAKER_13 |
transcript.pyannote[247].start |
3379.04721875 |
transcript.pyannote[247].end |
3379.33409375 |
transcript.pyannote[248].speaker |
SPEAKER_13 |
transcript.pyannote[248].start |
3379.90784375 |
transcript.pyannote[248].end |
3380.36346875 |
transcript.pyannote[249].speaker |
SPEAKER_05 |
transcript.pyannote[249].start |
3380.53221875 |
transcript.pyannote[249].end |
3397.42409375 |
transcript.pyannote[250].speaker |
SPEAKER_13 |
transcript.pyannote[250].start |
3385.39221875 |
transcript.pyannote[250].end |
3385.72971875 |
transcript.pyannote[251].speaker |
SPEAKER_13 |
transcript.pyannote[251].start |
3387.53534375 |
transcript.pyannote[251].end |
3387.97409375 |
transcript.pyannote[252].speaker |
SPEAKER_00 |
transcript.pyannote[252].start |
3387.97409375 |
transcript.pyannote[252].end |
3387.99096875 |
transcript.pyannote[253].speaker |
SPEAKER_14 |
transcript.pyannote[253].start |
3391.26471875 |
transcript.pyannote[253].end |
3391.29846875 |
transcript.pyannote[254].speaker |
SPEAKER_13 |
transcript.pyannote[254].start |
3391.29846875 |
transcript.pyannote[254].end |
3391.33221875 |
transcript.pyannote[255].speaker |
SPEAKER_14 |
transcript.pyannote[255].start |
3391.33221875 |
transcript.pyannote[255].end |
3391.63596875 |
transcript.pyannote[256].speaker |
SPEAKER_13 |
transcript.pyannote[256].start |
3391.63596875 |
transcript.pyannote[256].end |
3391.66971875 |
transcript.pyannote[257].speaker |
SPEAKER_14 |
transcript.pyannote[257].start |
3397.22159375 |
transcript.pyannote[257].end |
3397.23846875 |
transcript.pyannote[258].speaker |
SPEAKER_13 |
transcript.pyannote[258].start |
3397.23846875 |
transcript.pyannote[258].end |
3397.60971875 |
transcript.pyannote[259].speaker |
SPEAKER_05 |
transcript.pyannote[259].start |
3397.54221875 |
transcript.pyannote[259].end |
3408.79784375 |
transcript.pyannote[260].speaker |
SPEAKER_14 |
transcript.pyannote[260].start |
3400.64721875 |
transcript.pyannote[260].end |
3400.73159375 |
transcript.pyannote[261].speaker |
SPEAKER_13 |
transcript.pyannote[261].start |
3400.73159375 |
transcript.pyannote[261].end |
3400.83284375 |
transcript.pyannote[262].speaker |
SPEAKER_14 |
transcript.pyannote[262].start |
3400.83284375 |
transcript.pyannote[262].end |
3400.88346875 |
transcript.pyannote[263].speaker |
SPEAKER_13 |
transcript.pyannote[263].start |
3400.88346875 |
transcript.pyannote[263].end |
3400.90034375 |
transcript.pyannote[264].speaker |
SPEAKER_14 |
transcript.pyannote[264].start |
3400.90034375 |
transcript.pyannote[264].end |
3400.91721875 |
transcript.pyannote[265].speaker |
SPEAKER_13 |
transcript.pyannote[265].start |
3403.78596875 |
transcript.pyannote[265].end |
3403.80284375 |
transcript.pyannote[266].speaker |
SPEAKER_14 |
transcript.pyannote[266].start |
3403.80284375 |
transcript.pyannote[266].end |
3403.97159375 |
transcript.pyannote[267].speaker |
SPEAKER_13 |
transcript.pyannote[267].start |
3403.97159375 |
transcript.pyannote[267].end |
3404.14034375 |
transcript.pyannote[268].speaker |
SPEAKER_14 |
transcript.pyannote[268].start |
3404.14034375 |
transcript.pyannote[268].end |
3404.19096875 |
transcript.pyannote[269].speaker |
SPEAKER_05 |
transcript.pyannote[269].start |
3409.01721875 |
transcript.pyannote[269].end |
3415.85159375 |
transcript.pyannote[270].speaker |
SPEAKER_00 |
transcript.pyannote[270].start |
3410.23221875 |
transcript.pyannote[270].end |
3410.24909375 |
transcript.pyannote[271].speaker |
SPEAKER_13 |
transcript.pyannote[271].start |
3410.24909375 |
transcript.pyannote[271].end |
3410.63721875 |
transcript.pyannote[272].speaker |
SPEAKER_13 |
transcript.pyannote[272].start |
3415.85159375 |
transcript.pyannote[272].end |
3416.07096875 |
transcript.pyannote[273].speaker |
SPEAKER_05 |
transcript.pyannote[273].start |
3416.07096875 |
transcript.pyannote[273].end |
3420.69471875 |
transcript.pyannote[274].speaker |
SPEAKER_13 |
transcript.pyannote[274].start |
3420.55971875 |
transcript.pyannote[274].end |
3420.57659375 |
transcript.pyannote[275].speaker |
SPEAKER_13 |
transcript.pyannote[275].start |
3420.61034375 |
transcript.pyannote[275].end |
3420.66096875 |
transcript.pyannote[276].speaker |
SPEAKER_13 |
transcript.pyannote[276].start |
3420.69471875 |
transcript.pyannote[276].end |
3420.76221875 |
transcript.pyannote[277].speaker |
SPEAKER_05 |
transcript.pyannote[277].start |
3420.76221875 |
transcript.pyannote[277].end |
3421.70721875 |
transcript.pyannote[278].speaker |
SPEAKER_05 |
transcript.pyannote[278].start |
3421.82534375 |
transcript.pyannote[278].end |
3448.53846875 |
transcript.pyannote[279].speaker |
SPEAKER_13 |
transcript.pyannote[279].start |
3426.02721875 |
transcript.pyannote[279].end |
3426.36471875 |
transcript.pyannote[280].speaker |
SPEAKER_13 |
transcript.pyannote[280].start |
3429.50346875 |
transcript.pyannote[280].end |
3429.97596875 |
transcript.pyannote[281].speaker |
SPEAKER_13 |
transcript.pyannote[281].start |
3433.23284375 |
transcript.pyannote[281].end |
3433.67159375 |
transcript.pyannote[282].speaker |
SPEAKER_14 |
transcript.pyannote[282].start |
3448.53846875 |
transcript.pyannote[282].end |
3449.11221875 |
transcript.pyannote[283].speaker |
SPEAKER_05 |
transcript.pyannote[283].start |
3448.90971875 |
transcript.pyannote[283].end |
3453.31409375 |
transcript.pyannote[284].speaker |
SPEAKER_14 |
transcript.pyannote[284].start |
3452.63909375 |
transcript.pyannote[284].end |
3453.07784375 |
transcript.pyannote[285].speaker |
SPEAKER_05 |
transcript.pyannote[285].start |
3453.56721875 |
transcript.pyannote[285].end |
3457.71846875 |
transcript.pyannote[286].speaker |
SPEAKER_05 |
transcript.pyannote[286].start |
3458.00534375 |
transcript.pyannote[286].end |
3461.26221875 |
transcript.pyannote[287].speaker |
SPEAKER_05 |
transcript.pyannote[287].start |
3461.48159375 |
transcript.pyannote[287].end |
3462.03846875 |
transcript.pyannote[288].speaker |
SPEAKER_05 |
transcript.pyannote[288].start |
3462.15659375 |
transcript.pyannote[288].end |
3463.52346875 |
transcript.pyannote[289].speaker |
SPEAKER_05 |
transcript.pyannote[289].start |
3463.92846875 |
transcript.pyannote[289].end |
3465.19409375 |
transcript.pyannote[290].speaker |
SPEAKER_05 |
transcript.pyannote[290].start |
3465.85221875 |
transcript.pyannote[290].end |
3466.54409375 |
transcript.pyannote[291].speaker |
SPEAKER_17 |
transcript.pyannote[291].start |
3467.32034375 |
transcript.pyannote[291].end |
3469.05846875 |
transcript.pyannote[292].speaker |
SPEAKER_05 |
transcript.pyannote[292].start |
3467.82659375 |
transcript.pyannote[292].end |
3468.97409375 |
transcript.pyannote[293].speaker |
SPEAKER_17 |
transcript.pyannote[293].start |
3469.83471875 |
transcript.pyannote[293].end |
3469.86846875 |
transcript.pyannote[294].speaker |
SPEAKER_17 |
transcript.pyannote[294].start |
3469.91909375 |
transcript.pyannote[294].end |
3499.97346875 |
transcript.pyannote[295].speaker |
SPEAKER_05 |
transcript.pyannote[295].start |
3480.80346875 |
transcript.pyannote[295].end |
3482.96346875 |
transcript.pyannote[296].speaker |
SPEAKER_00 |
transcript.pyannote[296].start |
3482.96346875 |
transcript.pyannote[296].end |
3483.16596875 |
transcript.pyannote[297].speaker |
SPEAKER_00 |
transcript.pyannote[297].start |
3483.95909375 |
transcript.pyannote[297].end |
3484.51596875 |
transcript.pyannote[298].speaker |
SPEAKER_07 |
transcript.pyannote[298].start |
3494.62409375 |
transcript.pyannote[298].end |
3494.64096875 |
transcript.pyannote[299].speaker |
SPEAKER_05 |
transcript.pyannote[299].start |
3494.64096875 |
transcript.pyannote[299].end |
3495.06284375 |
transcript.pyannote[300].speaker |
SPEAKER_05 |
transcript.pyannote[300].start |
3499.55159375 |
transcript.pyannote[300].end |
3504.58034375 |
transcript.pyannote[301].speaker |
SPEAKER_17 |
transcript.pyannote[301].start |
3501.72846875 |
transcript.pyannote[301].end |
3503.43284375 |
transcript.pyannote[302].speaker |
SPEAKER_17 |
transcript.pyannote[302].start |
3504.14159375 |
transcript.pyannote[302].end |
3505.57596875 |
transcript.pyannote[303].speaker |
SPEAKER_05 |
transcript.pyannote[303].start |
3505.06971875 |
transcript.pyannote[303].end |
3509.86221875 |
transcript.pyannote[304].speaker |
SPEAKER_17 |
transcript.pyannote[304].start |
3509.27159375 |
transcript.pyannote[304].end |
3526.48409375 |
transcript.pyannote[305].speaker |
SPEAKER_05 |
transcript.pyannote[305].start |
3517.30409375 |
transcript.pyannote[305].end |
3517.70909375 |
transcript.pyannote[306].speaker |
SPEAKER_00 |
transcript.pyannote[306].start |
3517.70909375 |
transcript.pyannote[306].end |
3517.77659375 |
transcript.pyannote[307].speaker |
SPEAKER_05 |
transcript.pyannote[307].start |
3519.41346875 |
transcript.pyannote[307].end |
3519.81846875 |
transcript.pyannote[308].speaker |
SPEAKER_05 |
transcript.pyannote[308].start |
3520.81409375 |
transcript.pyannote[308].end |
3521.16846875 |
transcript.pyannote[309].speaker |
SPEAKER_17 |
transcript.pyannote[309].start |
3526.55159375 |
transcript.pyannote[309].end |
3526.56846875 |
transcript.pyannote[310].speaker |
SPEAKER_05 |
transcript.pyannote[310].start |
3526.56846875 |
transcript.pyannote[310].end |
3543.13971875 |
transcript.pyannote[311].speaker |
SPEAKER_17 |
transcript.pyannote[311].start |
3526.68659375 |
transcript.pyannote[311].end |
3526.88909375 |
transcript.pyannote[312].speaker |
SPEAKER_17 |
transcript.pyannote[312].start |
3533.04846875 |
transcript.pyannote[312].end |
3533.48721875 |
transcript.pyannote[313].speaker |
SPEAKER_17 |
transcript.pyannote[313].start |
3533.63909375 |
transcript.pyannote[313].end |
3534.55034375 |
transcript.pyannote[314].speaker |
SPEAKER_00 |
transcript.pyannote[314].start |
3534.55034375 |
transcript.pyannote[314].end |
3534.58409375 |
transcript.pyannote[315].speaker |
SPEAKER_17 |
transcript.pyannote[315].start |
3542.43096875 |
transcript.pyannote[315].end |
3542.92034375 |
transcript.pyannote[316].speaker |
SPEAKER_05 |
transcript.pyannote[316].start |
3543.57846875 |
transcript.pyannote[316].end |
3549.95721875 |
transcript.pyannote[317].speaker |
SPEAKER_17 |
transcript.pyannote[317].start |
3547.71284375 |
transcript.pyannote[317].end |
3565.29659375 |
transcript.pyannote[318].speaker |
SPEAKER_05 |
transcript.pyannote[318].start |
3562.69784375 |
transcript.pyannote[318].end |
3562.84971875 |
transcript.pyannote[319].speaker |
SPEAKER_05 |
transcript.pyannote[319].start |
3564.31784375 |
transcript.pyannote[319].end |
3566.86596875 |
transcript.pyannote[320].speaker |
SPEAKER_17 |
transcript.pyannote[320].start |
3566.57909375 |
transcript.pyannote[320].end |
3567.01784375 |
transcript.pyannote[321].speaker |
SPEAKER_05 |
transcript.pyannote[321].start |
3567.06846875 |
transcript.pyannote[321].end |
3576.33284375 |
transcript.pyannote[322].speaker |
SPEAKER_17 |
transcript.pyannote[322].start |
3574.25721875 |
transcript.pyannote[322].end |
3574.69596875 |
transcript.pyannote[323].speaker |
SPEAKER_17 |
transcript.pyannote[323].start |
3576.33284375 |
transcript.pyannote[323].end |
3576.72096875 |
transcript.pyannote[324].speaker |
SPEAKER_05 |
transcript.pyannote[324].start |
3577.27784375 |
transcript.pyannote[324].end |
3591.80721875 |
transcript.pyannote[325].speaker |
SPEAKER_17 |
transcript.pyannote[325].start |
3580.68659375 |
transcript.pyannote[325].end |
3584.38221875 |
transcript.pyannote[326].speaker |
SPEAKER_17 |
transcript.pyannote[326].start |
3585.58034375 |
transcript.pyannote[326].end |
3586.06971875 |
transcript.pyannote[327].speaker |
SPEAKER_17 |
transcript.pyannote[327].start |
3586.76159375 |
transcript.pyannote[327].end |
3587.26784375 |
transcript.pyannote[328].speaker |
SPEAKER_17 |
transcript.pyannote[328].start |
3588.80346875 |
transcript.pyannote[328].end |
3590.18721875 |
transcript.pyannote[329].speaker |
SPEAKER_17 |
transcript.pyannote[329].start |
3590.98034375 |
transcript.pyannote[329].end |
3593.66346875 |
transcript.pyannote[330].speaker |
SPEAKER_05 |
transcript.pyannote[330].start |
3592.83659375 |
transcript.pyannote[330].end |
3592.90409375 |
transcript.pyannote[331].speaker |
SPEAKER_04 |
transcript.pyannote[331].start |
3592.90409375 |
transcript.pyannote[331].end |
3592.93784375 |
transcript.pyannote[332].speaker |
SPEAKER_05 |
transcript.pyannote[332].start |
3592.93784375 |
transcript.pyannote[332].end |
3592.97159375 |
transcript.pyannote[333].speaker |
SPEAKER_04 |
transcript.pyannote[333].start |
3592.97159375 |
transcript.pyannote[333].end |
3593.54534375 |
transcript.pyannote[334].speaker |
SPEAKER_05 |
transcript.pyannote[334].start |
3593.54534375 |
transcript.pyannote[334].end |
3593.59596875 |
transcript.pyannote[335].speaker |
SPEAKER_04 |
transcript.pyannote[335].start |
3595.11471875 |
transcript.pyannote[335].end |
3598.59096875 |
transcript.pyannote[336].speaker |
SPEAKER_21 |
transcript.pyannote[336].start |
3607.41659375 |
transcript.pyannote[336].end |
3609.79596875 |
transcript.pyannote[337].speaker |
SPEAKER_03 |
transcript.pyannote[337].start |
3610.28534375 |
transcript.pyannote[337].end |
3610.74096875 |
transcript.pyannote[338].speaker |
SPEAKER_21 |
transcript.pyannote[338].start |
3617.05221875 |
transcript.pyannote[338].end |
3623.39721875 |
transcript.pyannote[339].speaker |
SPEAKER_21 |
transcript.pyannote[339].start |
3623.65034375 |
transcript.pyannote[339].end |
3649.72221875 |
transcript.pyannote[340].speaker |
SPEAKER_00 |
transcript.pyannote[340].start |
3628.22346875 |
transcript.pyannote[340].end |
3628.61159375 |
transcript.pyannote[341].speaker |
SPEAKER_21 |
transcript.pyannote[341].start |
3650.16096875 |
transcript.pyannote[341].end |
3653.19846875 |
transcript.pyannote[342].speaker |
SPEAKER_21 |
transcript.pyannote[342].start |
3653.23221875 |
transcript.pyannote[342].end |
3660.45471875 |
transcript.pyannote[343].speaker |
SPEAKER_17 |
transcript.pyannote[343].start |
3660.45471875 |
transcript.pyannote[343].end |
3667.17096875 |
transcript.pyannote[344].speaker |
SPEAKER_17 |
transcript.pyannote[344].start |
3667.49159375 |
transcript.pyannote[344].end |
3673.95471875 |
transcript.pyannote[345].speaker |
SPEAKER_17 |
transcript.pyannote[345].start |
3674.12346875 |
transcript.pyannote[345].end |
3676.04721875 |
transcript.pyannote[346].speaker |
SPEAKER_17 |
transcript.pyannote[346].start |
3676.92471875 |
transcript.pyannote[346].end |
3692.16284375 |
transcript.pyannote[347].speaker |
SPEAKER_17 |
transcript.pyannote[347].start |
3692.60159375 |
transcript.pyannote[347].end |
3706.35471875 |
transcript.pyannote[348].speaker |
SPEAKER_00 |
transcript.pyannote[348].start |
3697.05659375 |
transcript.pyannote[348].end |
3697.59659375 |
transcript.pyannote[349].speaker |
SPEAKER_17 |
transcript.pyannote[349].start |
3707.23221875 |
transcript.pyannote[349].end |
3712.48034375 |
transcript.pyannote[350].speaker |
SPEAKER_21 |
transcript.pyannote[350].start |
3709.69596875 |
transcript.pyannote[350].end |
3717.03659375 |
transcript.pyannote[351].speaker |
SPEAKER_21 |
transcript.pyannote[351].start |
3717.49221875 |
transcript.pyannote[351].end |
3721.35659375 |
transcript.pyannote[352].speaker |
SPEAKER_21 |
transcript.pyannote[352].start |
3721.77846875 |
transcript.pyannote[352].end |
3722.23409375 |
transcript.pyannote[353].speaker |
SPEAKER_21 |
transcript.pyannote[353].start |
3722.55471875 |
transcript.pyannote[353].end |
3723.02721875 |
transcript.pyannote[354].speaker |
SPEAKER_17 |
transcript.pyannote[354].start |
3723.02721875 |
transcript.pyannote[354].end |
3723.56721875 |
transcript.pyannote[355].speaker |
SPEAKER_21 |
transcript.pyannote[355].start |
3723.56721875 |
transcript.pyannote[355].end |
3723.76971875 |
transcript.pyannote[356].speaker |
SPEAKER_17 |
transcript.pyannote[356].start |
3723.76971875 |
transcript.pyannote[356].end |
3725.13659375 |
transcript.pyannote[357].speaker |
SPEAKER_17 |
transcript.pyannote[357].start |
3725.55846875 |
transcript.pyannote[357].end |
3737.89409375 |
transcript.pyannote[358].speaker |
SPEAKER_21 |
transcript.pyannote[358].start |
3738.23159375 |
transcript.pyannote[358].end |
3738.70409375 |
transcript.pyannote[359].speaker |
SPEAKER_21 |
transcript.pyannote[359].start |
3738.95721875 |
transcript.pyannote[359].end |
3769.95659375 |
transcript.pyannote[360].speaker |
SPEAKER_17 |
transcript.pyannote[360].start |
3739.05846875 |
transcript.pyannote[360].end |
3739.37909375 |
transcript.pyannote[361].speaker |
SPEAKER_17 |
transcript.pyannote[361].start |
3740.59409375 |
transcript.pyannote[361].end |
3741.06659375 |
transcript.pyannote[362].speaker |
SPEAKER_13 |
transcript.pyannote[362].start |
3741.06659375 |
transcript.pyannote[362].end |
3741.08346875 |
transcript.pyannote[363].speaker |
SPEAKER_13 |
transcript.pyannote[363].start |
3745.30221875 |
transcript.pyannote[363].end |
3745.74096875 |
transcript.pyannote[364].speaker |
SPEAKER_21 |
transcript.pyannote[364].start |
3770.58096875 |
transcript.pyannote[364].end |
3780.90846875 |
transcript.pyannote[365].speaker |
SPEAKER_17 |
transcript.pyannote[365].start |
3780.90846875 |
transcript.pyannote[365].end |
3787.01721875 |
transcript.pyannote[366].speaker |
SPEAKER_17 |
transcript.pyannote[366].start |
3787.23659375 |
transcript.pyannote[366].end |
3800.33159375 |
transcript.pyannote[367].speaker |
SPEAKER_21 |
transcript.pyannote[367].start |
3799.79159375 |
transcript.pyannote[367].end |
3811.03034375 |
transcript.pyannote[368].speaker |
SPEAKER_17 |
transcript.pyannote[368].start |
3811.03034375 |
transcript.pyannote[368].end |
3823.02846875 |
transcript.pyannote[369].speaker |
SPEAKER_14 |
transcript.pyannote[369].start |
3821.42534375 |
transcript.pyannote[369].end |
3821.72909375 |
transcript.pyannote[370].speaker |
SPEAKER_17 |
transcript.pyannote[370].start |
3823.33221875 |
transcript.pyannote[370].end |
3837.37221875 |
transcript.pyannote[371].speaker |
SPEAKER_21 |
transcript.pyannote[371].start |
3836.84909375 |
transcript.pyannote[371].end |
3843.66659375 |
transcript.pyannote[372].speaker |
SPEAKER_21 |
transcript.pyannote[372].start |
3843.73409375 |
transcript.pyannote[372].end |
3849.25221875 |
transcript.pyannote[373].speaker |
SPEAKER_17 |
transcript.pyannote[373].start |
3845.62409375 |
transcript.pyannote[373].end |
3846.16409375 |
transcript.pyannote[374].speaker |
SPEAKER_17 |
transcript.pyannote[374].start |
3849.25221875 |
transcript.pyannote[374].end |
3855.05721875 |
transcript.pyannote[375].speaker |
SPEAKER_17 |
transcript.pyannote[375].start |
3855.29346875 |
transcript.pyannote[375].end |
3856.06971875 |
transcript.pyannote[376].speaker |
SPEAKER_17 |
transcript.pyannote[376].start |
3856.30596875 |
transcript.pyannote[376].end |
3857.68971875 |
transcript.pyannote[377].speaker |
SPEAKER_17 |
transcript.pyannote[377].start |
3858.04409375 |
transcript.pyannote[377].end |
3859.02284375 |
transcript.pyannote[378].speaker |
SPEAKER_21 |
transcript.pyannote[378].start |
3858.19596875 |
transcript.pyannote[378].end |
3858.90471875 |
transcript.pyannote[379].speaker |
SPEAKER_21 |
transcript.pyannote[379].start |
3859.02284375 |
transcript.pyannote[379].end |
3862.02659375 |
transcript.pyannote[380].speaker |
SPEAKER_17 |
transcript.pyannote[380].start |
3859.71471875 |
transcript.pyannote[380].end |
3863.96721875 |
transcript.pyannote[381].speaker |
SPEAKER_21 |
transcript.pyannote[381].start |
3863.96721875 |
transcript.pyannote[381].end |
3864.03471875 |
transcript.pyannote[382].speaker |
SPEAKER_17 |
transcript.pyannote[382].start |
3864.03471875 |
transcript.pyannote[382].end |
3876.43784375 |
transcript.pyannote[383].speaker |
SPEAKER_21 |
transcript.pyannote[383].start |
3875.20596875 |
transcript.pyannote[383].end |
3896.92409375 |
transcript.pyannote[384].speaker |
SPEAKER_17 |
transcript.pyannote[384].start |
3883.37346875 |
transcript.pyannote[384].end |
3883.76159375 |
transcript.pyannote[385].speaker |
SPEAKER_00 |
transcript.pyannote[385].start |
3883.76159375 |
transcript.pyannote[385].end |
3885.02721875 |
transcript.pyannote[386].speaker |
SPEAKER_13 |
transcript.pyannote[386].start |
3885.02721875 |
transcript.pyannote[386].end |
3885.28034375 |
transcript.pyannote[387].speaker |
SPEAKER_00 |
transcript.pyannote[387].start |
3885.28034375 |
transcript.pyannote[387].end |
3885.36471875 |
transcript.pyannote[388].speaker |
SPEAKER_17 |
transcript.pyannote[388].start |
3896.92409375 |
transcript.pyannote[388].end |
3922.33784375 |
transcript.pyannote[389].speaker |
SPEAKER_21 |
transcript.pyannote[389].start |
3922.89471875 |
transcript.pyannote[389].end |
3928.17659375 |
transcript.pyannote[390].speaker |
SPEAKER_21 |
transcript.pyannote[390].start |
3928.39596875 |
transcript.pyannote[390].end |
3931.73721875 |
transcript.pyannote[391].speaker |
SPEAKER_17 |
transcript.pyannote[391].start |
3931.41659375 |
transcript.pyannote[391].end |
3947.90346875 |
transcript.pyannote[392].speaker |
SPEAKER_21 |
transcript.pyannote[392].start |
3947.65034375 |
transcript.pyannote[392].end |
3951.91971875 |
transcript.pyannote[393].speaker |
SPEAKER_17 |
transcript.pyannote[393].start |
3952.24034375 |
transcript.pyannote[393].end |
3961.43721875 |
transcript.pyannote[394].speaker |
SPEAKER_21 |
transcript.pyannote[394].start |
3959.02409375 |
transcript.pyannote[394].end |
3970.83659375 |
transcript.pyannote[395].speaker |
SPEAKER_17 |
transcript.pyannote[395].start |
3962.66909375 |
transcript.pyannote[395].end |
3963.31034375 |
transcript.pyannote[396].speaker |
SPEAKER_21 |
transcript.pyannote[396].start |
3971.37659375 |
transcript.pyannote[396].end |
3974.71784375 |
transcript.pyannote[397].speaker |
SPEAKER_17 |
transcript.pyannote[397].start |
3974.71784375 |
transcript.pyannote[397].end |
3974.73471875 |
transcript.pyannote[398].speaker |
SPEAKER_21 |
transcript.pyannote[398].start |
3975.37596875 |
transcript.pyannote[398].end |
3975.39284375 |
transcript.pyannote[399].speaker |
SPEAKER_17 |
transcript.pyannote[399].start |
3975.39284375 |
transcript.pyannote[399].end |
3990.90096875 |
transcript.pyannote[400].speaker |
SPEAKER_17 |
transcript.pyannote[400].start |
3991.35659375 |
transcript.pyannote[400].end |
4005.71721875 |
transcript.pyannote[401].speaker |
SPEAKER_21 |
transcript.pyannote[401].start |
4005.93659375 |
transcript.pyannote[401].end |
4031.06346875 |
transcript.pyannote[402].speaker |
SPEAKER_17 |
transcript.pyannote[402].start |
4011.96096875 |
transcript.pyannote[402].end |
4012.36596875 |
transcript.pyannote[403].speaker |
SPEAKER_21 |
transcript.pyannote[403].start |
4031.40096875 |
transcript.pyannote[403].end |
4048.78221875 |
transcript.pyannote[404].speaker |
SPEAKER_21 |
transcript.pyannote[404].start |
4048.83284375 |
transcript.pyannote[404].end |
4051.43159375 |
transcript.pyannote[405].speaker |
SPEAKER_21 |
transcript.pyannote[405].start |
4052.61284375 |
transcript.pyannote[405].end |
4055.38034375 |
transcript.pyannote[406].speaker |
SPEAKER_17 |
transcript.pyannote[406].start |
4055.38034375 |
transcript.pyannote[406].end |
4061.11784375 |
transcript.pyannote[407].speaker |
SPEAKER_17 |
transcript.pyannote[407].start |
4061.59034375 |
transcript.pyannote[407].end |
4070.33159375 |
transcript.pyannote[408].speaker |
SPEAKER_17 |
transcript.pyannote[408].start |
4070.68596875 |
transcript.pyannote[408].end |
4080.96284375 |
transcript.pyannote[409].speaker |
SPEAKER_21 |
transcript.pyannote[409].start |
4080.42284375 |
transcript.pyannote[409].end |
4087.03784375 |
transcript.pyannote[410].speaker |
SPEAKER_17 |
transcript.pyannote[410].start |
4081.21596875 |
transcript.pyannote[410].end |
4081.46909375 |
transcript.pyannote[411].speaker |
SPEAKER_17 |
transcript.pyannote[411].start |
4087.03784375 |
transcript.pyannote[411].end |
4089.41721875 |
transcript.pyannote[412].speaker |
SPEAKER_17 |
transcript.pyannote[412].start |
4090.14284375 |
transcript.pyannote[412].end |
4094.14221875 |
transcript.pyannote[413].speaker |
SPEAKER_17 |
transcript.pyannote[413].start |
4094.37846875 |
transcript.pyannote[413].end |
4111.74284375 |
transcript.pyannote[414].speaker |
SPEAKER_21 |
transcript.pyannote[414].start |
4110.08909375 |
transcript.pyannote[414].end |
4138.77659375 |
transcript.pyannote[415].speaker |
SPEAKER_00 |
transcript.pyannote[415].start |
4125.79971875 |
transcript.pyannote[415].end |
4125.83346875 |
transcript.pyannote[416].speaker |
SPEAKER_13 |
transcript.pyannote[416].start |
4125.83346875 |
transcript.pyannote[416].end |
4126.06971875 |
transcript.pyannote[417].speaker |
SPEAKER_13 |
transcript.pyannote[417].start |
4138.35471875 |
transcript.pyannote[417].end |
4138.69221875 |
transcript.pyannote[418].speaker |
SPEAKER_21 |
transcript.pyannote[418].start |
4139.11409375 |
transcript.pyannote[418].end |
4142.57346875 |
transcript.pyannote[419].speaker |
SPEAKER_21 |
transcript.pyannote[419].start |
4142.69159375 |
transcript.pyannote[419].end |
4153.20471875 |
transcript.pyannote[420].speaker |
SPEAKER_17 |
transcript.pyannote[420].start |
4154.14971875 |
transcript.pyannote[420].end |
4156.71471875 |
transcript.pyannote[421].speaker |
SPEAKER_17 |
transcript.pyannote[421].start |
4157.25471875 |
transcript.pyannote[421].end |
4158.89159375 |
transcript.pyannote[422].speaker |
SPEAKER_17 |
transcript.pyannote[422].start |
4159.26284375 |
transcript.pyannote[422].end |
4161.91221875 |
transcript.pyannote[423].speaker |
SPEAKER_17 |
transcript.pyannote[423].start |
4161.96284375 |
transcript.pyannote[423].end |
4185.48659375 |
transcript.pyannote[424].speaker |
SPEAKER_21 |
transcript.pyannote[424].start |
4185.14909375 |
transcript.pyannote[424].end |
4196.38784375 |
transcript.pyannote[425].speaker |
SPEAKER_17 |
transcript.pyannote[425].start |
4186.31346875 |
transcript.pyannote[425].end |
4187.07284375 |
transcript.pyannote[426].speaker |
SPEAKER_17 |
transcript.pyannote[426].start |
4197.82221875 |
transcript.pyannote[426].end |
4198.21034375 |
transcript.pyannote[427].speaker |
SPEAKER_21 |
transcript.pyannote[427].start |
4198.34534375 |
transcript.pyannote[427].end |
4200.43784375 |
transcript.pyannote[428].speaker |
SPEAKER_21 |
transcript.pyannote[428].start |
4200.74159375 |
transcript.pyannote[428].end |
4202.59784375 |
transcript.pyannote[429].speaker |
SPEAKER_21 |
transcript.pyannote[429].start |
4202.93534375 |
transcript.pyannote[429].end |
4205.14596875 |
transcript.pyannote[430].speaker |
SPEAKER_13 |
transcript.pyannote[430].start |
4205.14596875 |
transcript.pyannote[430].end |
4205.39909375 |
transcript.pyannote[431].speaker |
SPEAKER_21 |
transcript.pyannote[431].start |
4205.39909375 |
transcript.pyannote[431].end |
4208.03159375 |
transcript.pyannote[432].speaker |
SPEAKER_21 |
transcript.pyannote[432].start |
4208.36909375 |
transcript.pyannote[432].end |
4212.31784375 |
transcript.pyannote[433].speaker |
SPEAKER_21 |
transcript.pyannote[433].start |
4212.70596875 |
transcript.pyannote[433].end |
4217.73471875 |
transcript.pyannote[434].speaker |
SPEAKER_21 |
transcript.pyannote[434].start |
4218.22409375 |
transcript.pyannote[434].end |
4241.83221875 |
transcript.pyannote[435].speaker |
SPEAKER_13 |
transcript.pyannote[435].start |
4233.47909375 |
transcript.pyannote[435].end |
4233.63096875 |
transcript.pyannote[436].speaker |
SPEAKER_00 |
transcript.pyannote[436].start |
4233.63096875 |
transcript.pyannote[436].end |
4233.69846875 |
transcript.pyannote[437].speaker |
SPEAKER_21 |
transcript.pyannote[437].start |
4242.08534375 |
transcript.pyannote[437].end |
4276.02096875 |
transcript.pyannote[438].speaker |
SPEAKER_17 |
transcript.pyannote[438].start |
4276.02096875 |
transcript.pyannote[438].end |
4276.07159375 |
transcript.pyannote[439].speaker |
SPEAKER_17 |
transcript.pyannote[439].start |
4276.52721875 |
transcript.pyannote[439].end |
4276.93221875 |
transcript.pyannote[440].speaker |
SPEAKER_17 |
transcript.pyannote[440].start |
4277.13471875 |
transcript.pyannote[440].end |
4284.03659375 |
transcript.pyannote[441].speaker |
SPEAKER_17 |
transcript.pyannote[441].start |
4284.25596875 |
transcript.pyannote[441].end |
4289.70659375 |
transcript.pyannote[442].speaker |
SPEAKER_21 |
transcript.pyannote[442].start |
4289.90909375 |
transcript.pyannote[442].end |
4293.50346875 |
transcript.pyannote[443].speaker |
SPEAKER_21 |
transcript.pyannote[443].start |
4293.75659375 |
transcript.pyannote[443].end |
4309.90596875 |
transcript.pyannote[444].speaker |
SPEAKER_17 |
transcript.pyannote[444].start |
4310.39534375 |
transcript.pyannote[444].end |
4313.68596875 |
transcript.pyannote[445].speaker |
SPEAKER_17 |
transcript.pyannote[445].start |
4313.93909375 |
transcript.pyannote[445].end |
4318.61346875 |
transcript.pyannote[446].speaker |
SPEAKER_21 |
transcript.pyannote[446].start |
4318.17471875 |
transcript.pyannote[446].end |
4323.42284375 |
transcript.pyannote[447].speaker |
SPEAKER_17 |
transcript.pyannote[447].start |
4319.45721875 |
transcript.pyannote[447].end |
4321.54971875 |
transcript.pyannote[448].speaker |
SPEAKER_00 |
transcript.pyannote[448].start |
4321.54971875 |
transcript.pyannote[448].end |
4321.80284375 |
transcript.pyannote[449].speaker |
SPEAKER_17 |
transcript.pyannote[449].start |
4321.80284375 |
transcript.pyannote[449].end |
4322.27534375 |
transcript.pyannote[450].speaker |
SPEAKER_00 |
transcript.pyannote[450].start |
4322.27534375 |
transcript.pyannote[450].end |
4322.29221875 |
transcript.pyannote[451].speaker |
SPEAKER_21 |
transcript.pyannote[451].start |
4324.24971875 |
transcript.pyannote[451].end |
4332.65346875 |
transcript.pyannote[452].speaker |
SPEAKER_00 |
transcript.pyannote[452].start |
4325.83596875 |
transcript.pyannote[452].end |
4325.85284375 |
transcript.pyannote[453].speaker |
SPEAKER_13 |
transcript.pyannote[453].start |
4325.85284375 |
transcript.pyannote[453].end |
4326.03846875 |
transcript.pyannote[454].speaker |
SPEAKER_16 |
transcript.pyannote[454].start |
4326.03846875 |
transcript.pyannote[454].end |
4327.47284375 |
transcript.pyannote[455].speaker |
SPEAKER_16 |
transcript.pyannote[455].start |
4327.55721875 |
transcript.pyannote[455].end |
4327.97909375 |
transcript.pyannote[456].speaker |
SPEAKER_17 |
transcript.pyannote[456].start |
4327.97909375 |
transcript.pyannote[456].end |
4328.02971875 |
transcript.pyannote[457].speaker |
SPEAKER_13 |
transcript.pyannote[457].start |
4328.02971875 |
transcript.pyannote[457].end |
4328.51909375 |
transcript.pyannote[458].speaker |
SPEAKER_17 |
transcript.pyannote[458].start |
4328.51909375 |
transcript.pyannote[458].end |
4328.55284375 |
transcript.pyannote[459].speaker |
SPEAKER_16 |
transcript.pyannote[459].start |
4328.55284375 |
transcript.pyannote[459].end |
4328.60346875 |
transcript.pyannote[460].speaker |
SPEAKER_21 |
transcript.pyannote[460].start |
4333.21034375 |
transcript.pyannote[460].end |
4336.82159375 |
transcript.pyannote[461].speaker |
SPEAKER_21 |
transcript.pyannote[461].start |
4338.71159375 |
transcript.pyannote[461].end |
4343.50409375 |
transcript.pyannote[462].speaker |
SPEAKER_17 |
transcript.pyannote[462].start |
4343.50409375 |
transcript.pyannote[462].end |
4349.47784375 |
transcript.pyannote[463].speaker |
SPEAKER_21 |
transcript.pyannote[463].start |
4343.52096875 |
transcript.pyannote[463].end |
4343.68971875 |
transcript.pyannote[464].speaker |
SPEAKER_17 |
transcript.pyannote[464].start |
4349.88284375 |
transcript.pyannote[464].end |
4354.37159375 |
transcript.pyannote[465].speaker |
SPEAKER_17 |
transcript.pyannote[465].start |
4354.92846875 |
transcript.pyannote[465].end |
4360.49721875 |
transcript.pyannote[466].speaker |
SPEAKER_14 |
transcript.pyannote[466].start |
4360.49721875 |
transcript.pyannote[466].end |
4360.63221875 |
transcript.pyannote[467].speaker |
SPEAKER_17 |
transcript.pyannote[467].start |
4360.63221875 |
transcript.pyannote[467].end |
4373.69346875 |
transcript.pyannote[468].speaker |
SPEAKER_17 |
transcript.pyannote[468].start |
4374.08159375 |
transcript.pyannote[468].end |
4383.86909375 |
transcript.pyannote[469].speaker |
SPEAKER_21 |
transcript.pyannote[469].start |
4384.40909375 |
transcript.pyannote[469].end |
4397.58846875 |
transcript.pyannote[470].speaker |
SPEAKER_17 |
transcript.pyannote[470].start |
4395.52971875 |
transcript.pyannote[470].end |
4405.77284375 |
transcript.pyannote[471].speaker |
SPEAKER_21 |
transcript.pyannote[471].start |
4399.83284375 |
transcript.pyannote[471].end |
4401.45284375 |
transcript.pyannote[472].speaker |
SPEAKER_21 |
transcript.pyannote[472].start |
4404.79409375 |
transcript.pyannote[472].end |
4405.58721875 |
transcript.pyannote[473].speaker |
SPEAKER_21 |
transcript.pyannote[473].start |
4405.63784375 |
transcript.pyannote[473].end |
4426.02284375 |
transcript.pyannote[474].speaker |
SPEAKER_21 |
transcript.pyannote[474].start |
4426.93409375 |
transcript.pyannote[474].end |
4436.06346875 |
transcript.pyannote[475].speaker |
SPEAKER_21 |
transcript.pyannote[475].start |
4436.40096875 |
transcript.pyannote[475].end |
4446.62721875 |
transcript.pyannote[476].speaker |
SPEAKER_21 |
transcript.pyannote[476].start |
4447.13346875 |
transcript.pyannote[476].end |
4447.90971875 |
transcript.pyannote[477].speaker |
SPEAKER_21 |
transcript.pyannote[477].start |
4448.50034375 |
transcript.pyannote[477].end |
4448.85471875 |
transcript.pyannote[478].speaker |
SPEAKER_21 |
transcript.pyannote[478].start |
4449.22596875 |
transcript.pyannote[478].end |
4452.02721875 |
transcript.pyannote[479].speaker |
SPEAKER_17 |
transcript.pyannote[479].start |
4452.02721875 |
transcript.pyannote[479].end |
4471.07909375 |
transcript.pyannote[480].speaker |
SPEAKER_21 |
transcript.pyannote[480].start |
4469.08784375 |
transcript.pyannote[480].end |
4472.78346875 |
transcript.pyannote[481].speaker |
SPEAKER_17 |
transcript.pyannote[481].start |
4472.78346875 |
transcript.pyannote[481].end |
4472.80034375 |
transcript.pyannote[482].speaker |
SPEAKER_21 |
transcript.pyannote[482].start |
4472.80034375 |
transcript.pyannote[482].end |
4473.35721875 |
transcript.pyannote[483].speaker |
SPEAKER_17 |
transcript.pyannote[483].start |
4473.35721875 |
transcript.pyannote[483].end |
4484.00534375 |
transcript.pyannote[484].speaker |
SPEAKER_21 |
transcript.pyannote[484].start |
4473.37409375 |
transcript.pyannote[484].end |
4475.41596875 |
transcript.pyannote[485].speaker |
SPEAKER_17 |
transcript.pyannote[485].start |
4484.29221875 |
transcript.pyannote[485].end |
4485.06846875 |
transcript.pyannote[486].speaker |
SPEAKER_17 |
transcript.pyannote[486].start |
4485.28784375 |
transcript.pyannote[486].end |
4487.78534375 |
transcript.pyannote[487].speaker |
SPEAKER_17 |
transcript.pyannote[487].start |
4488.37596875 |
transcript.pyannote[487].end |
4500.96471875 |
transcript.pyannote[488].speaker |
SPEAKER_21 |
transcript.pyannote[488].start |
4500.37409375 |
transcript.pyannote[488].end |
4508.69346875 |
transcript.pyannote[489].speaker |
SPEAKER_17 |
transcript.pyannote[489].start |
4507.07346875 |
transcript.pyannote[489].end |
4507.79909375 |
transcript.pyannote[490].speaker |
SPEAKER_17 |
transcript.pyannote[490].start |
4508.27159375 |
transcript.pyannote[490].end |
4508.30534375 |
transcript.pyannote[491].speaker |
SPEAKER_04 |
transcript.pyannote[491].start |
4508.30534375 |
transcript.pyannote[491].end |
4508.57534375 |
transcript.pyannote[492].speaker |
SPEAKER_17 |
transcript.pyannote[492].start |
4508.57534375 |
transcript.pyannote[492].end |
4508.59221875 |
transcript.pyannote[493].speaker |
SPEAKER_04 |
transcript.pyannote[493].start |
4508.84534375 |
transcript.pyannote[493].end |
4512.64221875 |
transcript.pyannote[494].speaker |
SPEAKER_01 |
transcript.pyannote[494].start |
4528.53846875 |
transcript.pyannote[494].end |
4529.50034375 |
transcript.pyannote[495].speaker |
SPEAKER_01 |
transcript.pyannote[495].start |
4530.07409375 |
transcript.pyannote[495].end |
4530.61409375 |
transcript.pyannote[496].speaker |
SPEAKER_03 |
transcript.pyannote[496].start |
4536.70596875 |
transcript.pyannote[496].end |
4536.73971875 |
transcript.pyannote[497].speaker |
SPEAKER_13 |
transcript.pyannote[497].start |
4536.73971875 |
transcript.pyannote[497].end |
4537.16159375 |
transcript.pyannote[498].speaker |
SPEAKER_01 |
transcript.pyannote[498].start |
4536.82409375 |
transcript.pyannote[498].end |
4570.45596875 |
transcript.pyannote[499].speaker |
SPEAKER_13 |
transcript.pyannote[499].start |
4542.32534375 |
transcript.pyannote[499].end |
4542.83159375 |
transcript.pyannote[500].speaker |
SPEAKER_13 |
transcript.pyannote[500].start |
4555.53846875 |
transcript.pyannote[500].end |
4556.31471875 |
transcript.pyannote[501].speaker |
SPEAKER_01 |
transcript.pyannote[501].start |
4570.60784375 |
transcript.pyannote[501].end |
4572.97034375 |
transcript.pyannote[502].speaker |
SPEAKER_13 |
transcript.pyannote[502].start |
4572.63284375 |
transcript.pyannote[502].end |
4573.03784375 |
transcript.pyannote[503].speaker |
SPEAKER_01 |
transcript.pyannote[503].start |
4573.03784375 |
transcript.pyannote[503].end |
4574.42159375 |
transcript.pyannote[504].speaker |
SPEAKER_01 |
transcript.pyannote[504].start |
4575.21471875 |
transcript.pyannote[504].end |
4614.66846875 |
transcript.pyannote[505].speaker |
SPEAKER_13 |
transcript.pyannote[505].start |
4578.21846875 |
transcript.pyannote[505].end |
4578.72471875 |
transcript.pyannote[506].speaker |
SPEAKER_13 |
transcript.pyannote[506].start |
4579.73721875 |
transcript.pyannote[506].end |
4580.27721875 |
transcript.pyannote[507].speaker |
SPEAKER_00 |
transcript.pyannote[507].start |
4589.13659375 |
transcript.pyannote[507].end |
4589.18721875 |
transcript.pyannote[508].speaker |
SPEAKER_13 |
transcript.pyannote[508].start |
4589.18721875 |
transcript.pyannote[508].end |
4589.64284375 |
transcript.pyannote[509].speaker |
SPEAKER_00 |
transcript.pyannote[509].start |
4589.64284375 |
transcript.pyannote[509].end |
4589.65971875 |
transcript.pyannote[510].speaker |
SPEAKER_01 |
transcript.pyannote[510].start |
4614.88784375 |
transcript.pyannote[510].end |
4618.21221875 |
transcript.pyannote[511].speaker |
SPEAKER_01 |
transcript.pyannote[511].start |
4618.76909375 |
transcript.pyannote[511].end |
4674.91221875 |
transcript.pyannote[512].speaker |
SPEAKER_01 |
transcript.pyannote[512].start |
4674.99659375 |
transcript.pyannote[512].end |
4693.15409375 |
transcript.pyannote[513].speaker |
SPEAKER_19 |
transcript.pyannote[513].start |
4681.66221875 |
transcript.pyannote[513].end |
4681.89846875 |
transcript.pyannote[514].speaker |
SPEAKER_03 |
transcript.pyannote[514].start |
4692.34409375 |
transcript.pyannote[514].end |
4692.74909375 |
transcript.pyannote[515].speaker |
SPEAKER_03 |
transcript.pyannote[515].start |
4692.83346875 |
transcript.pyannote[515].end |
4693.32284375 |
transcript.pyannote[516].speaker |
SPEAKER_01 |
transcript.pyannote[516].start |
4693.52534375 |
transcript.pyannote[516].end |
4717.53846875 |
transcript.pyannote[517].speaker |
SPEAKER_01 |
transcript.pyannote[517].start |
4717.79159375 |
transcript.pyannote[517].end |
4726.61721875 |
transcript.pyannote[518].speaker |
SPEAKER_01 |
transcript.pyannote[518].start |
4727.03909375 |
transcript.pyannote[518].end |
4730.83596875 |
transcript.pyannote[519].speaker |
SPEAKER_01 |
transcript.pyannote[519].start |
4731.61221875 |
transcript.pyannote[519].end |
4755.91221875 |
transcript.pyannote[520].speaker |
SPEAKER_01 |
transcript.pyannote[520].start |
4756.30034375 |
transcript.pyannote[520].end |
4766.89784375 |
transcript.pyannote[521].speaker |
SPEAKER_01 |
transcript.pyannote[521].start |
4767.31971875 |
transcript.pyannote[521].end |
4780.92096875 |
transcript.pyannote[522].speaker |
SPEAKER_01 |
transcript.pyannote[522].start |
4781.08971875 |
transcript.pyannote[522].end |
4787.33346875 |
transcript.pyannote[523].speaker |
SPEAKER_13 |
transcript.pyannote[523].start |
4786.13534375 |
transcript.pyannote[523].end |
4786.25346875 |
transcript.pyannote[524].speaker |
SPEAKER_13 |
transcript.pyannote[524].start |
4786.33784375 |
transcript.pyannote[524].end |
4786.48971875 |
transcript.pyannote[525].speaker |
SPEAKER_01 |
transcript.pyannote[525].start |
4787.65409375 |
transcript.pyannote[525].end |
4805.84534375 |
transcript.pyannote[526].speaker |
SPEAKER_01 |
transcript.pyannote[526].start |
4806.46971875 |
transcript.pyannote[526].end |
4811.75159375 |
transcript.pyannote[527].speaker |
SPEAKER_01 |
transcript.pyannote[527].start |
4812.03846875 |
transcript.pyannote[527].end |
4827.15846875 |
transcript.pyannote[528].speaker |
SPEAKER_01 |
transcript.pyannote[528].start |
4827.39471875 |
transcript.pyannote[528].end |
4827.61409375 |
transcript.pyannote[529].speaker |
SPEAKER_01 |
transcript.pyannote[529].start |
4828.03596875 |
transcript.pyannote[529].end |
4852.20096875 |
transcript.pyannote[530].speaker |
SPEAKER_01 |
transcript.pyannote[530].start |
4852.26846875 |
transcript.pyannote[530].end |
4868.06346875 |
transcript.pyannote[531].speaker |
SPEAKER_01 |
transcript.pyannote[531].start |
4868.73846875 |
transcript.pyannote[531].end |
4898.89409375 |
transcript.pyannote[532].speaker |
SPEAKER_13 |
transcript.pyannote[532].start |
4898.52284375 |
transcript.pyannote[532].end |
4898.70846875 |
transcript.pyannote[533].speaker |
SPEAKER_01 |
transcript.pyannote[533].start |
4899.23159375 |
transcript.pyannote[533].end |
4900.04159375 |
transcript.pyannote[534].speaker |
SPEAKER_01 |
transcript.pyannote[534].start |
4900.96971875 |
transcript.pyannote[534].end |
4935.12471875 |
transcript.pyannote[535].speaker |
SPEAKER_01 |
transcript.pyannote[535].start |
4935.73221875 |
transcript.pyannote[535].end |
5100.85409375 |
transcript.pyannote[536].speaker |
SPEAKER_01 |
transcript.pyannote[536].start |
5100.93846875 |
transcript.pyannote[536].end |
5115.45096875 |
transcript.pyannote[537].speaker |
SPEAKER_01 |
transcript.pyannote[537].start |
5116.04159375 |
transcript.pyannote[537].end |
5140.79721875 |
transcript.pyannote[538].speaker |
SPEAKER_01 |
transcript.pyannote[538].start |
5141.32034375 |
transcript.pyannote[538].end |
5141.84346875 |
transcript.pyannote[539].speaker |
SPEAKER_01 |
transcript.pyannote[539].start |
5142.23159375 |
transcript.pyannote[539].end |
5183.44034375 |
transcript.pyannote[540].speaker |
SPEAKER_01 |
transcript.pyannote[540].start |
5183.86221875 |
transcript.pyannote[540].end |
5189.05971875 |
transcript.pyannote[541].speaker |
SPEAKER_01 |
transcript.pyannote[541].start |
5189.32971875 |
transcript.pyannote[541].end |
5213.69721875 |
transcript.pyannote[542].speaker |
SPEAKER_01 |
transcript.pyannote[542].start |
5213.98409375 |
transcript.pyannote[542].end |
5219.28284375 |
transcript.pyannote[543].speaker |
SPEAKER_01 |
transcript.pyannote[543].start |
5219.70471875 |
transcript.pyannote[543].end |
5220.26159375 |
transcript.pyannote[544].speaker |
SPEAKER_01 |
transcript.pyannote[544].start |
5220.48096875 |
transcript.pyannote[544].end |
5232.58034375 |
transcript.pyannote[545].speaker |
SPEAKER_17 |
transcript.pyannote[545].start |
5232.58034375 |
transcript.pyannote[545].end |
5276.40471875 |
transcript.pyannote[546].speaker |
SPEAKER_14 |
transcript.pyannote[546].start |
5264.92971875 |
transcript.pyannote[546].end |
5265.65534375 |
transcript.pyannote[547].speaker |
SPEAKER_00 |
transcript.pyannote[547].start |
5265.65534375 |
transcript.pyannote[547].end |
5265.70596875 |
transcript.pyannote[548].speaker |
SPEAKER_01 |
transcript.pyannote[548].start |
5275.72971875 |
transcript.pyannote[548].end |
5282.09159375 |
transcript.pyannote[549].speaker |
SPEAKER_01 |
transcript.pyannote[549].start |
5282.27721875 |
transcript.pyannote[549].end |
5325.73034375 |
transcript.pyannote[550].speaker |
SPEAKER_17 |
transcript.pyannote[550].start |
5283.10409375 |
transcript.pyannote[550].end |
5283.44159375 |
transcript.pyannote[551].speaker |
SPEAKER_00 |
transcript.pyannote[551].start |
5283.44159375 |
transcript.pyannote[551].end |
5283.50909375 |
transcript.pyannote[552].speaker |
SPEAKER_13 |
transcript.pyannote[552].start |
5288.52096875 |
transcript.pyannote[552].end |
5288.80784375 |
transcript.pyannote[553].speaker |
SPEAKER_17 |
transcript.pyannote[553].start |
5288.80784375 |
transcript.pyannote[553].end |
5288.89221875 |
transcript.pyannote[554].speaker |
SPEAKER_17 |
transcript.pyannote[554].start |
5289.14534375 |
transcript.pyannote[554].end |
5289.21284375 |
transcript.pyannote[555].speaker |
SPEAKER_13 |
transcript.pyannote[555].start |
5289.21284375 |
transcript.pyannote[555].end |
5289.36471875 |
transcript.pyannote[556].speaker |
SPEAKER_17 |
transcript.pyannote[556].start |
5289.36471875 |
transcript.pyannote[556].end |
5289.48284375 |
transcript.pyannote[557].speaker |
SPEAKER_17 |
transcript.pyannote[557].start |
5323.50284375 |
transcript.pyannote[557].end |
5327.19846875 |
transcript.pyannote[558].speaker |
SPEAKER_01 |
transcript.pyannote[558].start |
5326.47284375 |
transcript.pyannote[558].end |
5358.68721875 |
transcript.pyannote[559].speaker |
SPEAKER_01 |
transcript.pyannote[559].start |
5358.92346875 |
transcript.pyannote[559].end |
5383.96596875 |
transcript.pyannote[560].speaker |
SPEAKER_17 |
transcript.pyannote[560].start |
5380.08471875 |
transcript.pyannote[560].end |
5383.35846875 |
transcript.pyannote[561].speaker |
SPEAKER_04 |
transcript.pyannote[561].start |
5383.35846875 |
transcript.pyannote[561].end |
5383.39221875 |
transcript.pyannote[562].speaker |
SPEAKER_04 |
transcript.pyannote[562].start |
5383.96596875 |
transcript.pyannote[562].end |
5384.64096875 |
transcript.pyannote[563].speaker |
SPEAKER_01 |
transcript.pyannote[563].start |
5384.30346875 |
transcript.pyannote[563].end |
5384.33721875 |
transcript.pyannote[564].speaker |
SPEAKER_17 |
transcript.pyannote[564].start |
5384.33721875 |
transcript.pyannote[564].end |
5385.56909375 |
transcript.pyannote[565].speaker |
SPEAKER_01 |
transcript.pyannote[565].start |
5384.64096875 |
transcript.pyannote[565].end |
5384.65784375 |
transcript.pyannote[566].speaker |
SPEAKER_04 |
transcript.pyannote[566].start |
5386.32846875 |
transcript.pyannote[566].end |
5389.75409375 |
transcript.pyannote[567].speaker |
SPEAKER_10 |
transcript.pyannote[567].start |
5413.49721875 |
transcript.pyannote[567].end |
5414.25659375 |
transcript.pyannote[568].speaker |
SPEAKER_03 |
transcript.pyannote[568].start |
5415.35346875 |
transcript.pyannote[568].end |
5415.94409375 |
transcript.pyannote[569].speaker |
SPEAKER_10 |
transcript.pyannote[569].start |
5422.10346875 |
transcript.pyannote[569].end |
5422.52534375 |
transcript.pyannote[570].speaker |
SPEAKER_10 |
transcript.pyannote[570].start |
5422.96409375 |
transcript.pyannote[570].end |
5426.00159375 |
transcript.pyannote[571].speaker |
SPEAKER_10 |
transcript.pyannote[571].start |
5426.65971875 |
transcript.pyannote[571].end |
5427.01409375 |
transcript.pyannote[572].speaker |
SPEAKER_10 |
transcript.pyannote[572].start |
5428.31346875 |
transcript.pyannote[572].end |
5429.64659375 |
transcript.pyannote[573].speaker |
SPEAKER_10 |
transcript.pyannote[573].start |
5430.47346875 |
transcript.pyannote[573].end |
5431.67159375 |
transcript.pyannote[574].speaker |
SPEAKER_17 |
transcript.pyannote[574].start |
5434.64159375 |
transcript.pyannote[574].end |
5443.02846875 |
transcript.pyannote[575].speaker |
SPEAKER_17 |
transcript.pyannote[575].start |
5443.34909375 |
transcript.pyannote[575].end |
5448.02346875 |
transcript.pyannote[576].speaker |
SPEAKER_17 |
transcript.pyannote[576].start |
5448.07409375 |
transcript.pyannote[576].end |
5450.80784375 |
transcript.pyannote[577].speaker |
SPEAKER_10 |
transcript.pyannote[577].start |
5451.63471875 |
transcript.pyannote[577].end |
5454.14909375 |
transcript.pyannote[578].speaker |
SPEAKER_10 |
transcript.pyannote[578].start |
5454.35159375 |
transcript.pyannote[578].end |
5454.43596875 |
transcript.pyannote[579].speaker |
SPEAKER_17 |
transcript.pyannote[579].start |
5454.43596875 |
transcript.pyannote[579].end |
5454.57096875 |
transcript.pyannote[580].speaker |
SPEAKER_10 |
transcript.pyannote[580].start |
5454.97596875 |
transcript.pyannote[580].end |
5457.05159375 |
transcript.pyannote[581].speaker |
SPEAKER_10 |
transcript.pyannote[581].start |
5457.35534375 |
transcript.pyannote[581].end |
5460.03846875 |
transcript.pyannote[582].speaker |
SPEAKER_17 |
transcript.pyannote[582].start |
5459.48159375 |
transcript.pyannote[582].end |
5459.80221875 |
transcript.pyannote[583].speaker |
SPEAKER_17 |
transcript.pyannote[583].start |
5460.03846875 |
transcript.pyannote[583].end |
5460.96659375 |
transcript.pyannote[584].speaker |
SPEAKER_10 |
transcript.pyannote[584].start |
5460.96659375 |
transcript.pyannote[584].end |
5466.19784375 |
transcript.pyannote[585].speaker |
SPEAKER_17 |
transcript.pyannote[585].start |
5461.03409375 |
transcript.pyannote[585].end |
5461.48971875 |
transcript.pyannote[586].speaker |
SPEAKER_17 |
transcript.pyannote[586].start |
5461.97909375 |
transcript.pyannote[586].end |
5462.19846875 |
transcript.pyannote[587].speaker |
SPEAKER_10 |
transcript.pyannote[587].start |
5466.61971875 |
transcript.pyannote[587].end |
5468.18909375 |
transcript.pyannote[588].speaker |
SPEAKER_10 |
transcript.pyannote[588].start |
5468.54346875 |
transcript.pyannote[588].end |
5470.36596875 |
transcript.pyannote[589].speaker |
SPEAKER_10 |
transcript.pyannote[589].start |
5470.83846875 |
transcript.pyannote[589].end |
5472.27284375 |
transcript.pyannote[590].speaker |
SPEAKER_10 |
transcript.pyannote[590].start |
5472.86346875 |
transcript.pyannote[590].end |
5475.27659375 |
transcript.pyannote[591].speaker |
SPEAKER_10 |
transcript.pyannote[591].start |
5476.25534375 |
transcript.pyannote[591].end |
5480.59221875 |
transcript.pyannote[592].speaker |
SPEAKER_13 |
transcript.pyannote[592].start |
5480.54159375 |
transcript.pyannote[592].end |
5480.98034375 |
transcript.pyannote[593].speaker |
SPEAKER_10 |
transcript.pyannote[593].start |
5480.89596875 |
transcript.pyannote[593].end |
5481.80721875 |
transcript.pyannote[594].speaker |
SPEAKER_10 |
transcript.pyannote[594].start |
5482.06034375 |
transcript.pyannote[594].end |
5485.63784375 |
transcript.pyannote[595].speaker |
SPEAKER_10 |
transcript.pyannote[595].start |
5485.99221875 |
transcript.pyannote[595].end |
5487.40971875 |
transcript.pyannote[596].speaker |
SPEAKER_10 |
transcript.pyannote[596].start |
5488.40534375 |
transcript.pyannote[596].end |
5491.17284375 |
transcript.pyannote[597].speaker |
SPEAKER_10 |
transcript.pyannote[597].start |
5492.08409375 |
transcript.pyannote[597].end |
5493.41721875 |
transcript.pyannote[598].speaker |
SPEAKER_10 |
transcript.pyannote[598].start |
5494.00784375 |
transcript.pyannote[598].end |
5494.98659375 |
transcript.pyannote[599].speaker |
SPEAKER_10 |
transcript.pyannote[599].start |
5495.34096875 |
transcript.pyannote[599].end |
5496.84284375 |
transcript.pyannote[600].speaker |
SPEAKER_10 |
transcript.pyannote[600].start |
5497.23096875 |
transcript.pyannote[600].end |
5498.05784375 |
transcript.pyannote[601].speaker |
SPEAKER_10 |
transcript.pyannote[601].start |
5498.49659375 |
transcript.pyannote[601].end |
5499.74534375 |
transcript.pyannote[602].speaker |
SPEAKER_10 |
transcript.pyannote[602].start |
5500.82534375 |
transcript.pyannote[602].end |
5502.00659375 |
transcript.pyannote[603].speaker |
SPEAKER_10 |
transcript.pyannote[603].start |
5502.83346875 |
transcript.pyannote[603].end |
5505.56721875 |
transcript.pyannote[604].speaker |
SPEAKER_10 |
transcript.pyannote[604].start |
5505.95534375 |
transcript.pyannote[604].end |
5508.65534375 |
transcript.pyannote[605].speaker |
SPEAKER_10 |
transcript.pyannote[605].start |
5509.04346875 |
transcript.pyannote[605].end |
5515.94534375 |
transcript.pyannote[606].speaker |
SPEAKER_00 |
transcript.pyannote[606].start |
5510.91659375 |
transcript.pyannote[606].end |
5511.20346875 |
transcript.pyannote[607].speaker |
SPEAKER_10 |
transcript.pyannote[607].start |
5516.13096875 |
transcript.pyannote[607].end |
5517.81846875 |
transcript.pyannote[608].speaker |
SPEAKER_10 |
transcript.pyannote[608].start |
5518.12221875 |
transcript.pyannote[608].end |
5520.28221875 |
transcript.pyannote[609].speaker |
SPEAKER_10 |
transcript.pyannote[609].start |
5521.44659375 |
transcript.pyannote[609].end |
5523.13409375 |
transcript.pyannote[610].speaker |
SPEAKER_17 |
transcript.pyannote[610].start |
5523.70784375 |
transcript.pyannote[610].end |
5527.72409375 |
transcript.pyannote[611].speaker |
SPEAKER_10 |
transcript.pyannote[611].start |
5528.09534375 |
transcript.pyannote[611].end |
5528.19659375 |
transcript.pyannote[612].speaker |
SPEAKER_17 |
transcript.pyannote[612].start |
5528.19659375 |
transcript.pyannote[612].end |
5528.26409375 |
transcript.pyannote[613].speaker |
SPEAKER_10 |
transcript.pyannote[613].start |
5528.26409375 |
transcript.pyannote[613].end |
5528.36534375 |
transcript.pyannote[614].speaker |
SPEAKER_17 |
transcript.pyannote[614].start |
5528.36534375 |
transcript.pyannote[614].end |
5529.22596875 |
transcript.pyannote[615].speaker |
SPEAKER_10 |
transcript.pyannote[615].start |
5529.22596875 |
transcript.pyannote[615].end |
5529.61409375 |
transcript.pyannote[616].speaker |
SPEAKER_10 |
transcript.pyannote[616].start |
5533.00596875 |
transcript.pyannote[616].end |
5536.04346875 |
transcript.pyannote[617].speaker |
SPEAKER_10 |
transcript.pyannote[617].start |
5536.26284375 |
transcript.pyannote[617].end |
5536.83659375 |
transcript.pyannote[618].speaker |
SPEAKER_10 |
transcript.pyannote[618].start |
5537.32596875 |
transcript.pyannote[618].end |
5538.38909375 |
transcript.pyannote[619].speaker |
SPEAKER_10 |
transcript.pyannote[619].start |
5538.72659375 |
transcript.pyannote[619].end |
5539.95846875 |
transcript.pyannote[620].speaker |
SPEAKER_10 |
transcript.pyannote[620].start |
5540.43096875 |
transcript.pyannote[620].end |
5541.46034375 |
transcript.pyannote[621].speaker |
SPEAKER_10 |
transcript.pyannote[621].start |
5541.83159375 |
transcript.pyannote[621].end |
5542.30409375 |
transcript.pyannote[622].speaker |
SPEAKER_10 |
transcript.pyannote[622].start |
5543.35034375 |
transcript.pyannote[622].end |
5543.92409375 |
transcript.pyannote[623].speaker |
SPEAKER_10 |
transcript.pyannote[623].start |
5545.10534375 |
transcript.pyannote[623].end |
5546.52284375 |
transcript.pyannote[624].speaker |
SPEAKER_10 |
transcript.pyannote[624].start |
5547.13034375 |
transcript.pyannote[624].end |
5548.24409375 |
transcript.pyannote[625].speaker |
SPEAKER_10 |
transcript.pyannote[625].start |
5548.81784375 |
transcript.pyannote[625].end |
5554.57221875 |
transcript.pyannote[626].speaker |
SPEAKER_10 |
transcript.pyannote[626].start |
5555.01096875 |
transcript.pyannote[626].end |
5558.58846875 |
transcript.pyannote[627].speaker |
SPEAKER_10 |
transcript.pyannote[627].start |
5559.29721875 |
transcript.pyannote[627].end |
5564.44409375 |
transcript.pyannote[628].speaker |
SPEAKER_10 |
transcript.pyannote[628].start |
5565.32159375 |
transcript.pyannote[628].end |
5566.72221875 |
transcript.pyannote[629].speaker |
SPEAKER_10 |
transcript.pyannote[629].start |
5567.02596875 |
transcript.pyannote[629].end |
5567.49846875 |
transcript.pyannote[630].speaker |
SPEAKER_10 |
transcript.pyannote[630].start |
5568.22409375 |
transcript.pyannote[630].end |
5568.93284375 |
transcript.pyannote[631].speaker |
SPEAKER_10 |
transcript.pyannote[631].start |
5569.13534375 |
transcript.pyannote[631].end |
5569.75971875 |
transcript.pyannote[632].speaker |
SPEAKER_10 |
transcript.pyannote[632].start |
5569.96221875 |
transcript.pyannote[632].end |
5570.53596875 |
transcript.pyannote[633].speaker |
SPEAKER_10 |
transcript.pyannote[633].start |
5571.58221875 |
transcript.pyannote[633].end |
5573.45534375 |
transcript.pyannote[634].speaker |
SPEAKER_10 |
transcript.pyannote[634].start |
5573.75909375 |
transcript.pyannote[634].end |
5574.38346875 |
transcript.pyannote[635].speaker |
SPEAKER_10 |
transcript.pyannote[635].start |
5575.21034375 |
transcript.pyannote[635].end |
5577.18471875 |
transcript.pyannote[636].speaker |
SPEAKER_10 |
transcript.pyannote[636].start |
5577.53909375 |
transcript.pyannote[636].end |
5578.50096875 |
transcript.pyannote[637].speaker |
SPEAKER_17 |
transcript.pyannote[637].start |
5578.65284375 |
transcript.pyannote[637].end |
5585.18346875 |
transcript.pyannote[638].speaker |
SPEAKER_17 |
transcript.pyannote[638].start |
5585.45346875 |
transcript.pyannote[638].end |
5590.07721875 |
transcript.pyannote[639].speaker |
SPEAKER_17 |
transcript.pyannote[639].start |
5590.36409375 |
transcript.pyannote[639].end |
5623.57409375 |
transcript.pyannote[640].speaker |
SPEAKER_17 |
transcript.pyannote[640].start |
5623.79346875 |
transcript.pyannote[640].end |
5625.83534375 |
transcript.pyannote[641].speaker |
SPEAKER_17 |
transcript.pyannote[641].start |
5625.97034375 |
transcript.pyannote[641].end |
5635.38659375 |
transcript.pyannote[642].speaker |
SPEAKER_17 |
transcript.pyannote[642].start |
5635.74096875 |
transcript.pyannote[642].end |
5640.02721875 |
transcript.pyannote[643].speaker |
SPEAKER_17 |
transcript.pyannote[643].start |
5640.12846875 |
transcript.pyannote[643].end |
5645.96721875 |
transcript.pyannote[644].speaker |
SPEAKER_10 |
transcript.pyannote[644].start |
5646.49034375 |
transcript.pyannote[644].end |
5660.02409375 |
transcript.pyannote[645].speaker |
SPEAKER_17 |
transcript.pyannote[645].start |
5657.59409375 |
transcript.pyannote[645].end |
5658.20159375 |
transcript.pyannote[646].speaker |
SPEAKER_17 |
transcript.pyannote[646].start |
5658.38721875 |
transcript.pyannote[646].end |
5659.06221875 |
transcript.pyannote[647].speaker |
SPEAKER_10 |
transcript.pyannote[647].start |
5660.46284375 |
transcript.pyannote[647].end |
5663.90534375 |
transcript.pyannote[648].speaker |
SPEAKER_10 |
transcript.pyannote[648].start |
5664.20909375 |
transcript.pyannote[648].end |
5665.99784375 |
transcript.pyannote[649].speaker |
SPEAKER_17 |
transcript.pyannote[649].start |
5665.37346875 |
transcript.pyannote[649].end |
5668.46159375 |
transcript.pyannote[650].speaker |
SPEAKER_10 |
transcript.pyannote[650].start |
5667.16221875 |
transcript.pyannote[650].end |
5667.78659375 |
transcript.pyannote[651].speaker |
SPEAKER_10 |
transcript.pyannote[651].start |
5668.30971875 |
transcript.pyannote[651].end |
5671.97159375 |
transcript.pyannote[652].speaker |
SPEAKER_13 |
transcript.pyannote[652].start |
5672.14034375 |
transcript.pyannote[652].end |
5672.61284375 |
transcript.pyannote[653].speaker |
SPEAKER_10 |
transcript.pyannote[653].start |
5672.73096875 |
transcript.pyannote[653].end |
5678.87346875 |
transcript.pyannote[654].speaker |
SPEAKER_13 |
transcript.pyannote[654].start |
5673.76034375 |
transcript.pyannote[654].end |
5674.41846875 |
transcript.pyannote[655].speaker |
SPEAKER_13 |
transcript.pyannote[655].start |
5674.67159375 |
transcript.pyannote[655].end |
5674.82346875 |
transcript.pyannote[656].speaker |
SPEAKER_17 |
transcript.pyannote[656].start |
5674.82346875 |
transcript.pyannote[656].end |
5674.95846875 |
transcript.pyannote[657].speaker |
SPEAKER_13 |
transcript.pyannote[657].start |
5674.95846875 |
transcript.pyannote[657].end |
5674.97534375 |
transcript.pyannote[658].speaker |
SPEAKER_13 |
transcript.pyannote[658].start |
5675.97096875 |
transcript.pyannote[658].end |
5676.22409375 |
transcript.pyannote[659].speaker |
SPEAKER_10 |
transcript.pyannote[659].start |
5678.97471875 |
transcript.pyannote[659].end |
5683.15971875 |
transcript.pyannote[660].speaker |
SPEAKER_17 |
transcript.pyannote[660].start |
5682.46784375 |
transcript.pyannote[660].end |
5690.68596875 |
transcript.pyannote[661].speaker |
SPEAKER_10 |
transcript.pyannote[661].start |
5684.59409375 |
transcript.pyannote[661].end |
5685.20159375 |
transcript.pyannote[662].speaker |
SPEAKER_10 |
transcript.pyannote[662].start |
5687.02409375 |
transcript.pyannote[662].end |
5691.59721875 |
transcript.pyannote[663].speaker |
SPEAKER_10 |
transcript.pyannote[663].start |
5691.78284375 |
transcript.pyannote[663].end |
5695.09034375 |
transcript.pyannote[664].speaker |
SPEAKER_10 |
transcript.pyannote[664].start |
5695.93409375 |
transcript.pyannote[664].end |
5696.98034375 |
transcript.pyannote[665].speaker |
SPEAKER_10 |
transcript.pyannote[665].start |
5697.85784375 |
transcript.pyannote[665].end |
5698.71846875 |
transcript.pyannote[666].speaker |
SPEAKER_10 |
transcript.pyannote[666].start |
5699.17409375 |
transcript.pyannote[666].end |
5700.32159375 |
transcript.pyannote[667].speaker |
SPEAKER_10 |
transcript.pyannote[667].start |
5701.03034375 |
transcript.pyannote[667].end |
5701.85721875 |
transcript.pyannote[668].speaker |
SPEAKER_10 |
transcript.pyannote[668].start |
5702.14409375 |
transcript.pyannote[668].end |
5702.81909375 |
transcript.pyannote[669].speaker |
SPEAKER_10 |
transcript.pyannote[669].start |
5703.88221875 |
transcript.pyannote[669].end |
5706.07596875 |
transcript.pyannote[670].speaker |
SPEAKER_10 |
transcript.pyannote[670].start |
5707.24034375 |
transcript.pyannote[670].end |
5708.91096875 |
transcript.pyannote[671].speaker |
SPEAKER_17 |
transcript.pyannote[671].start |
5709.36659375 |
transcript.pyannote[671].end |
5713.66971875 |
transcript.pyannote[672].speaker |
SPEAKER_17 |
transcript.pyannote[672].start |
5713.80471875 |
transcript.pyannote[672].end |
5730.71346875 |
transcript.pyannote[673].speaker |
SPEAKER_17 |
transcript.pyannote[673].start |
5731.20284375 |
transcript.pyannote[673].end |
5735.16846875 |
transcript.pyannote[674].speaker |
SPEAKER_17 |
transcript.pyannote[674].start |
5735.32034375 |
transcript.pyannote[674].end |
5739.31971875 |
transcript.pyannote[675].speaker |
SPEAKER_17 |
transcript.pyannote[675].start |
5739.58971875 |
transcript.pyannote[675].end |
5740.97346875 |
transcript.pyannote[676].speaker |
SPEAKER_10 |
transcript.pyannote[676].start |
5740.97346875 |
transcript.pyannote[676].end |
5740.99034375 |
transcript.pyannote[677].speaker |
SPEAKER_10 |
transcript.pyannote[677].start |
5741.83409375 |
transcript.pyannote[677].end |
5741.95221875 |
transcript.pyannote[678].speaker |
SPEAKER_10 |
transcript.pyannote[678].start |
5742.03659375 |
transcript.pyannote[678].end |
5746.44096875 |
transcript.pyannote[679].speaker |
SPEAKER_10 |
transcript.pyannote[679].start |
5746.59284375 |
transcript.pyannote[679].end |
5747.80784375 |
transcript.pyannote[680].speaker |
SPEAKER_10 |
transcript.pyannote[680].start |
5748.22971875 |
transcript.pyannote[680].end |
5755.53659375 |
transcript.pyannote[681].speaker |
SPEAKER_10 |
transcript.pyannote[681].start |
5757.81471875 |
transcript.pyannote[681].end |
5759.16471875 |
transcript.pyannote[682].speaker |
SPEAKER_17 |
transcript.pyannote[682].start |
5757.83159375 |
transcript.pyannote[682].end |
5758.43909375 |
transcript.pyannote[683].speaker |
SPEAKER_17 |
transcript.pyannote[683].start |
5759.16471875 |
transcript.pyannote[683].end |
5765.50971875 |
transcript.pyannote[684].speaker |
SPEAKER_17 |
transcript.pyannote[684].start |
5765.72909375 |
transcript.pyannote[684].end |
5770.77471875 |
transcript.pyannote[685].speaker |
SPEAKER_10 |
transcript.pyannote[685].start |
5770.77471875 |
transcript.pyannote[685].end |
5777.45721875 |
transcript.pyannote[686].speaker |
SPEAKER_17 |
transcript.pyannote[686].start |
5776.73159375 |
transcript.pyannote[686].end |
5780.57909375 |
transcript.pyannote[687].speaker |
SPEAKER_17 |
transcript.pyannote[687].start |
5781.13596875 |
transcript.pyannote[687].end |
5787.26159375 |
transcript.pyannote[688].speaker |
SPEAKER_10 |
transcript.pyannote[688].start |
5783.02596875 |
transcript.pyannote[688].end |
5783.27909375 |
transcript.pyannote[689].speaker |
SPEAKER_10 |
transcript.pyannote[689].start |
5787.37971875 |
transcript.pyannote[689].end |
5795.64846875 |
transcript.pyannote[690].speaker |
SPEAKER_17 |
transcript.pyannote[690].start |
5795.26034375 |
transcript.pyannote[690].end |
5799.54659375 |
transcript.pyannote[691].speaker |
SPEAKER_17 |
transcript.pyannote[691].start |
5799.90096875 |
transcript.pyannote[691].end |
5813.41784375 |
transcript.pyannote[692].speaker |
SPEAKER_17 |
transcript.pyannote[692].start |
5813.89034375 |
transcript.pyannote[692].end |
5818.96971875 |
transcript.pyannote[693].speaker |
SPEAKER_10 |
transcript.pyannote[693].start |
5818.96971875 |
transcript.pyannote[693].end |
5823.05346875 |
transcript.pyannote[694].speaker |
SPEAKER_13 |
transcript.pyannote[694].start |
5823.12096875 |
transcript.pyannote[694].end |
5823.49221875 |
transcript.pyannote[695].speaker |
SPEAKER_10 |
transcript.pyannote[695].start |
5823.37409375 |
transcript.pyannote[695].end |
5826.71534375 |
transcript.pyannote[696].speaker |
SPEAKER_10 |
transcript.pyannote[696].start |
5826.90096875 |
transcript.pyannote[696].end |
5832.77346875 |
transcript.pyannote[697].speaker |
SPEAKER_13 |
transcript.pyannote[697].start |
5827.79534375 |
transcript.pyannote[697].end |
5828.04846875 |
transcript.pyannote[698].speaker |
SPEAKER_10 |
transcript.pyannote[698].start |
5833.09409375 |
transcript.pyannote[698].end |
5833.16159375 |
transcript.pyannote[699].speaker |
SPEAKER_10 |
transcript.pyannote[699].start |
5833.41471875 |
transcript.pyannote[699].end |
5834.00534375 |
transcript.pyannote[700].speaker |
SPEAKER_10 |
transcript.pyannote[700].start |
5834.59596875 |
transcript.pyannote[700].end |
5836.33409375 |
transcript.pyannote[701].speaker |
SPEAKER_17 |
transcript.pyannote[701].start |
5837.19471875 |
transcript.pyannote[701].end |
5838.05534375 |
transcript.pyannote[702].speaker |
SPEAKER_17 |
transcript.pyannote[702].start |
5838.67971875 |
transcript.pyannote[702].end |
5839.13534375 |
transcript.pyannote[703].speaker |
SPEAKER_17 |
transcript.pyannote[703].start |
5839.55721875 |
transcript.pyannote[703].end |
5844.36659375 |
transcript.pyannote[704].speaker |
SPEAKER_17 |
transcript.pyannote[704].start |
5844.58596875 |
transcript.pyannote[704].end |
5846.77971875 |
transcript.pyannote[705].speaker |
SPEAKER_17 |
transcript.pyannote[705].start |
5846.84721875 |
transcript.pyannote[705].end |
5883.04409375 |
transcript.pyannote[706].speaker |
SPEAKER_17 |
transcript.pyannote[706].start |
5883.58409375 |
transcript.pyannote[706].end |
5898.34971875 |
transcript.pyannote[707].speaker |
SPEAKER_10 |
transcript.pyannote[707].start |
5897.21909375 |
transcript.pyannote[707].end |
5905.09971875 |
transcript.pyannote[708].speaker |
SPEAKER_10 |
transcript.pyannote[708].start |
5905.70721875 |
transcript.pyannote[708].end |
5908.84596875 |
transcript.pyannote[709].speaker |
SPEAKER_10 |
transcript.pyannote[709].start |
5909.77409375 |
transcript.pyannote[709].end |
5910.61784375 |
transcript.pyannote[710].speaker |
SPEAKER_10 |
transcript.pyannote[710].start |
5911.19159375 |
transcript.pyannote[710].end |
5911.95096875 |
transcript.pyannote[711].speaker |
SPEAKER_10 |
transcript.pyannote[711].start |
5912.49096875 |
transcript.pyannote[711].end |
5912.99721875 |
transcript.pyannote[712].speaker |
SPEAKER_10 |
transcript.pyannote[712].start |
5913.25034375 |
transcript.pyannote[712].end |
5920.13534375 |
transcript.pyannote[713].speaker |
SPEAKER_10 |
transcript.pyannote[713].start |
5920.62471875 |
transcript.pyannote[713].end |
5922.59909375 |
transcript.pyannote[714].speaker |
SPEAKER_10 |
transcript.pyannote[714].start |
5923.18971875 |
transcript.pyannote[714].end |
5925.19784375 |
transcript.pyannote[715].speaker |
SPEAKER_10 |
transcript.pyannote[715].start |
5925.68721875 |
transcript.pyannote[715].end |
5932.77471875 |
transcript.pyannote[716].speaker |
SPEAKER_10 |
transcript.pyannote[716].start |
5933.36534375 |
transcript.pyannote[716].end |
5933.38221875 |
transcript.pyannote[717].speaker |
SPEAKER_17 |
transcript.pyannote[717].start |
5933.38221875 |
transcript.pyannote[717].end |
5945.17784375 |
transcript.pyannote[718].speaker |
SPEAKER_17 |
transcript.pyannote[718].start |
5945.49846875 |
transcript.pyannote[718].end |
5955.58971875 |
transcript.pyannote[719].speaker |
SPEAKER_10 |
transcript.pyannote[719].start |
5956.34909375 |
transcript.pyannote[719].end |
5960.90534375 |
transcript.pyannote[720].speaker |
SPEAKER_10 |
transcript.pyannote[720].start |
5961.27659375 |
transcript.pyannote[720].end |
5962.96409375 |
transcript.pyannote[721].speaker |
SPEAKER_10 |
transcript.pyannote[721].start |
5963.70659375 |
transcript.pyannote[721].end |
5963.90909375 |
transcript.pyannote[722].speaker |
SPEAKER_10 |
transcript.pyannote[722].start |
5964.19596875 |
transcript.pyannote[722].end |
5968.11096875 |
transcript.pyannote[723].speaker |
SPEAKER_10 |
transcript.pyannote[723].start |
5968.54971875 |
transcript.pyannote[723].end |
5971.89096875 |
transcript.pyannote[724].speaker |
SPEAKER_10 |
transcript.pyannote[724].start |
5972.43096875 |
transcript.pyannote[724].end |
5973.57846875 |
transcript.pyannote[725].speaker |
SPEAKER_10 |
transcript.pyannote[725].start |
5974.87784375 |
transcript.pyannote[725].end |
5976.93659375 |
transcript.pyannote[726].speaker |
SPEAKER_10 |
transcript.pyannote[726].start |
5976.95346875 |
transcript.pyannote[726].end |
5977.81409375 |
transcript.pyannote[727].speaker |
SPEAKER_10 |
transcript.pyannote[727].start |
5978.26971875 |
transcript.pyannote[727].end |
5979.21471875 |
transcript.pyannote[728].speaker |
SPEAKER_10 |
transcript.pyannote[728].start |
5979.46784375 |
transcript.pyannote[728].end |
5981.00346875 |
transcript.pyannote[729].speaker |
SPEAKER_10 |
transcript.pyannote[729].start |
5982.06659375 |
transcript.pyannote[729].end |
5983.29846875 |
transcript.pyannote[730].speaker |
SPEAKER_10 |
transcript.pyannote[730].start |
5983.53471875 |
transcript.pyannote[730].end |
5984.29409375 |
transcript.pyannote[731].speaker |
SPEAKER_10 |
transcript.pyannote[731].start |
5984.36159375 |
transcript.pyannote[731].end |
5985.59346875 |
transcript.pyannote[732].speaker |
SPEAKER_10 |
transcript.pyannote[732].start |
5985.76221875 |
transcript.pyannote[732].end |
5986.04909375 |
transcript.pyannote[733].speaker |
SPEAKER_10 |
transcript.pyannote[733].start |
5986.26846875 |
transcript.pyannote[733].end |
5987.24721875 |
transcript.pyannote[734].speaker |
SPEAKER_10 |
transcript.pyannote[734].start |
5988.17534375 |
transcript.pyannote[734].end |
5989.44096875 |
transcript.pyannote[735].speaker |
SPEAKER_10 |
transcript.pyannote[735].start |
5990.01471875 |
transcript.pyannote[735].end |
5991.48284375 |
transcript.pyannote[736].speaker |
SPEAKER_10 |
transcript.pyannote[736].start |
5991.97221875 |
transcript.pyannote[736].end |
5992.30971875 |
transcript.pyannote[737].speaker |
SPEAKER_10 |
transcript.pyannote[737].start |
5993.00159375 |
transcript.pyannote[737].end |
5995.46534375 |
transcript.pyannote[738].speaker |
SPEAKER_10 |
transcript.pyannote[738].start |
5996.10659375 |
transcript.pyannote[738].end |
5999.41409375 |
transcript.pyannote[739].speaker |
SPEAKER_17 |
transcript.pyannote[739].start |
5998.90784375 |
transcript.pyannote[739].end |
6058.42596875 |
transcript.pyannote[740].speaker |
SPEAKER_10 |
transcript.pyannote[740].start |
6059.03346875 |
transcript.pyannote[740].end |
6061.09221875 |
transcript.pyannote[741].speaker |
SPEAKER_10 |
transcript.pyannote[741].start |
6061.66596875 |
transcript.pyannote[741].end |
6067.50471875 |
transcript.pyannote[742].speaker |
SPEAKER_10 |
transcript.pyannote[742].start |
6067.70721875 |
transcript.pyannote[742].end |
6070.98096875 |
transcript.pyannote[743].speaker |
SPEAKER_17 |
transcript.pyannote[743].start |
6070.40721875 |
transcript.pyannote[743].end |
6072.06096875 |
transcript.pyannote[744].speaker |
SPEAKER_10 |
transcript.pyannote[744].start |
6071.28471875 |
transcript.pyannote[744].end |
6072.02721875 |
transcript.pyannote[745].speaker |
SPEAKER_10 |
transcript.pyannote[745].start |
6072.06096875 |
transcript.pyannote[745].end |
6072.07784375 |
transcript.pyannote[746].speaker |
SPEAKER_17 |
transcript.pyannote[746].start |
6072.07784375 |
transcript.pyannote[746].end |
6072.56721875 |
transcript.pyannote[747].speaker |
SPEAKER_10 |
transcript.pyannote[747].start |
6072.82034375 |
transcript.pyannote[747].end |
6074.05221875 |
transcript.pyannote[748].speaker |
SPEAKER_10 |
transcript.pyannote[748].start |
6074.52471875 |
transcript.pyannote[748].end |
6075.25034375 |
transcript.pyannote[749].speaker |
SPEAKER_17 |
transcript.pyannote[749].start |
6075.62159375 |
transcript.pyannote[749].end |
6077.00534375 |
transcript.pyannote[750].speaker |
SPEAKER_17 |
transcript.pyannote[750].start |
6077.25846875 |
transcript.pyannote[750].end |
6082.06784375 |
transcript.pyannote[751].speaker |
SPEAKER_10 |
transcript.pyannote[751].start |
6082.06784375 |
transcript.pyannote[751].end |
6083.18159375 |
transcript.pyannote[752].speaker |
SPEAKER_17 |
transcript.pyannote[752].start |
6082.35471875 |
transcript.pyannote[752].end |
6086.99534375 |
transcript.pyannote[753].speaker |
SPEAKER_13 |
transcript.pyannote[753].start |
6086.99534375 |
transcript.pyannote[753].end |
6087.01221875 |
transcript.pyannote[754].speaker |
SPEAKER_10 |
transcript.pyannote[754].start |
6087.01221875 |
transcript.pyannote[754].end |
6087.19784375 |
transcript.pyannote[755].speaker |
SPEAKER_13 |
transcript.pyannote[755].start |
6087.19784375 |
transcript.pyannote[755].end |
6087.24846875 |
transcript.pyannote[756].speaker |
SPEAKER_17 |
transcript.pyannote[756].start |
6087.24846875 |
transcript.pyannote[756].end |
6089.52659375 |
transcript.pyannote[757].speaker |
SPEAKER_13 |
transcript.pyannote[757].start |
6089.52659375 |
transcript.pyannote[757].end |
6089.76284375 |
transcript.pyannote[758].speaker |
SPEAKER_17 |
transcript.pyannote[758].start |
6089.62784375 |
transcript.pyannote[758].end |
6091.23096875 |
transcript.pyannote[759].speaker |
SPEAKER_17 |
transcript.pyannote[759].start |
6091.73721875 |
transcript.pyannote[759].end |
6095.68596875 |
transcript.pyannote[760].speaker |
SPEAKER_17 |
transcript.pyannote[760].start |
6095.97284375 |
transcript.pyannote[760].end |
6097.74471875 |
transcript.pyannote[761].speaker |
SPEAKER_17 |
transcript.pyannote[761].start |
6097.96409375 |
transcript.pyannote[761].end |
6099.24659375 |
transcript.pyannote[762].speaker |
SPEAKER_10 |
transcript.pyannote[762].start |
6099.85409375 |
transcript.pyannote[762].end |
6112.81409375 |
transcript.pyannote[763].speaker |
SPEAKER_20 |
transcript.pyannote[763].start |
6102.23346875 |
transcript.pyannote[763].end |
6102.26721875 |
transcript.pyannote[764].speaker |
SPEAKER_17 |
transcript.pyannote[764].start |
6102.26721875 |
transcript.pyannote[764].end |
6102.31784375 |
transcript.pyannote[765].speaker |
SPEAKER_20 |
transcript.pyannote[765].start |
6102.31784375 |
transcript.pyannote[765].end |
6102.40221875 |
transcript.pyannote[766].speaker |
SPEAKER_17 |
transcript.pyannote[766].start |
6102.40221875 |
transcript.pyannote[766].end |
6102.41909375 |
transcript.pyannote[767].speaker |
SPEAKER_20 |
transcript.pyannote[767].start |
6102.41909375 |
transcript.pyannote[767].end |
6102.68909375 |
transcript.pyannote[768].speaker |
SPEAKER_10 |
transcript.pyannote[768].start |
6112.99971875 |
transcript.pyannote[768].end |
6114.29909375 |
transcript.pyannote[769].speaker |
SPEAKER_17 |
transcript.pyannote[769].start |
6114.29909375 |
transcript.pyannote[769].end |
6116.34096875 |
transcript.pyannote[770].speaker |
SPEAKER_10 |
transcript.pyannote[770].start |
6115.83471875 |
transcript.pyannote[770].end |
6120.54284375 |
transcript.pyannote[771].speaker |
SPEAKER_10 |
transcript.pyannote[771].start |
6120.86346875 |
transcript.pyannote[771].end |
6123.05721875 |
transcript.pyannote[772].speaker |
SPEAKER_10 |
transcript.pyannote[772].start |
6123.36096875 |
transcript.pyannote[772].end |
6125.40284375 |
transcript.pyannote[773].speaker |
SPEAKER_10 |
transcript.pyannote[773].start |
6125.67284375 |
transcript.pyannote[773].end |
6127.29284375 |
transcript.pyannote[774].speaker |
SPEAKER_10 |
transcript.pyannote[774].start |
6128.17034375 |
transcript.pyannote[774].end |
6132.64221875 |
transcript.pyannote[775].speaker |
SPEAKER_17 |
transcript.pyannote[775].start |
6131.84909375 |
transcript.pyannote[775].end |
6142.54784375 |
transcript.pyannote[776].speaker |
SPEAKER_17 |
transcript.pyannote[776].start |
6142.93596875 |
transcript.pyannote[776].end |
6145.36596875 |
transcript.pyannote[777].speaker |
SPEAKER_17 |
transcript.pyannote[777].start |
6145.88909375 |
transcript.pyannote[777].end |
6151.94721875 |
transcript.pyannote[778].speaker |
SPEAKER_17 |
transcript.pyannote[778].start |
6152.26784375 |
transcript.pyannote[778].end |
6161.04284375 |
transcript.pyannote[779].speaker |
SPEAKER_10 |
transcript.pyannote[779].start |
6159.81096875 |
transcript.pyannote[779].end |
6168.58596875 |
transcript.pyannote[780].speaker |
SPEAKER_17 |
transcript.pyannote[780].start |
6164.33346875 |
transcript.pyannote[780].end |
6164.55284375 |
transcript.pyannote[781].speaker |
SPEAKER_17 |
transcript.pyannote[781].start |
6166.37534375 |
transcript.pyannote[781].end |
6173.54721875 |
transcript.pyannote[782].speaker |
SPEAKER_17 |
transcript.pyannote[782].start |
6173.95221875 |
transcript.pyannote[782].end |
6174.76221875 |
transcript.pyannote[783].speaker |
SPEAKER_17 |
transcript.pyannote[783].start |
6175.33596875 |
transcript.pyannote[783].end |
6180.71909375 |
transcript.pyannote[784].speaker |
SPEAKER_17 |
transcript.pyannote[784].start |
6181.49534375 |
transcript.pyannote[784].end |
6191.68784375 |
transcript.pyannote[785].speaker |
SPEAKER_10 |
transcript.pyannote[785].start |
6189.25784375 |
transcript.pyannote[785].end |
6190.30409375 |
transcript.pyannote[786].speaker |
SPEAKER_10 |
transcript.pyannote[786].start |
6190.79346875 |
transcript.pyannote[786].end |
6196.27784375 |
transcript.pyannote[787].speaker |
SPEAKER_17 |
transcript.pyannote[787].start |
6196.10909375 |
transcript.pyannote[787].end |
6200.05784375 |
transcript.pyannote[788].speaker |
SPEAKER_10 |
transcript.pyannote[788].start |
6198.79221875 |
transcript.pyannote[788].end |
6199.16346875 |
transcript.pyannote[789].speaker |
SPEAKER_10 |
transcript.pyannote[789].start |
6200.05784375 |
transcript.pyannote[789].end |
6206.48721875 |
transcript.pyannote[790].speaker |
SPEAKER_17 |
transcript.pyannote[790].start |
6205.66034375 |
transcript.pyannote[790].end |
6206.21721875 |
transcript.pyannote[791].speaker |
SPEAKER_10 |
transcript.pyannote[791].start |
6206.60534375 |
transcript.pyannote[791].end |
6209.69346875 |
transcript.pyannote[792].speaker |
SPEAKER_10 |
transcript.pyannote[792].start |
6210.13221875 |
transcript.pyannote[792].end |
6222.99096875 |
transcript.pyannote[793].speaker |
SPEAKER_17 |
transcript.pyannote[793].start |
6213.18659375 |
transcript.pyannote[793].end |
6213.20346875 |
transcript.pyannote[794].speaker |
SPEAKER_17 |
transcript.pyannote[794].start |
6216.42659375 |
transcript.pyannote[794].end |
6219.27846875 |
transcript.pyannote[795].speaker |
SPEAKER_04 |
transcript.pyannote[795].start |
6222.99096875 |
transcript.pyannote[795].end |
6226.18034375 |
transcript.pyannote[796].speaker |
SPEAKER_16 |
transcript.pyannote[796].start |
6242.48159375 |
transcript.pyannote[796].end |
6244.97909375 |
transcript.pyannote[797].speaker |
SPEAKER_13 |
transcript.pyannote[797].start |
6246.97034375 |
transcript.pyannote[797].end |
6246.98721875 |
transcript.pyannote[798].speaker |
SPEAKER_16 |
transcript.pyannote[798].start |
6246.98721875 |
transcript.pyannote[798].end |
6247.03784375 |
transcript.pyannote[799].speaker |
SPEAKER_16 |
transcript.pyannote[799].start |
6253.88909375 |
transcript.pyannote[799].end |
6254.46284375 |
transcript.pyannote[800].speaker |
SPEAKER_16 |
transcript.pyannote[800].start |
6254.68221875 |
transcript.pyannote[800].end |
6256.01534375 |
transcript.pyannote[801].speaker |
SPEAKER_16 |
transcript.pyannote[801].start |
6256.57221875 |
transcript.pyannote[801].end |
6258.25971875 |
transcript.pyannote[802].speaker |
SPEAKER_16 |
transcript.pyannote[802].start |
6258.83346875 |
transcript.pyannote[802].end |
6261.76971875 |
transcript.pyannote[803].speaker |
SPEAKER_16 |
transcript.pyannote[803].start |
6262.32659375 |
transcript.pyannote[803].end |
6266.68034375 |
transcript.pyannote[804].speaker |
SPEAKER_16 |
transcript.pyannote[804].start |
6267.05159375 |
transcript.pyannote[804].end |
6268.68846875 |
transcript.pyannote[805].speaker |
SPEAKER_16 |
transcript.pyannote[805].start |
6269.39721875 |
transcript.pyannote[805].end |
6277.90221875 |
transcript.pyannote[806].speaker |
SPEAKER_16 |
transcript.pyannote[806].start |
6278.76284375 |
transcript.pyannote[806].end |
6279.08346875 |
transcript.pyannote[807].speaker |
SPEAKER_16 |
transcript.pyannote[807].start |
6279.62346875 |
transcript.pyannote[807].end |
6280.66971875 |
transcript.pyannote[808].speaker |
SPEAKER_16 |
transcript.pyannote[808].start |
6280.93971875 |
transcript.pyannote[808].end |
6282.69471875 |
transcript.pyannote[809].speaker |
SPEAKER_16 |
transcript.pyannote[809].start |
6283.52159375 |
transcript.pyannote[809].end |
6286.37346875 |
transcript.pyannote[810].speaker |
SPEAKER_16 |
transcript.pyannote[810].start |
6286.66034375 |
transcript.pyannote[810].end |
6287.84159375 |
transcript.pyannote[811].speaker |
SPEAKER_16 |
transcript.pyannote[811].start |
6288.26346875 |
transcript.pyannote[811].end |
6293.14034375 |
transcript.pyannote[812].speaker |
SPEAKER_16 |
transcript.pyannote[812].start |
6293.71409375 |
transcript.pyannote[812].end |
6294.99659375 |
transcript.pyannote[813].speaker |
SPEAKER_16 |
transcript.pyannote[813].start |
6295.67159375 |
transcript.pyannote[813].end |
6297.71346875 |
transcript.pyannote[814].speaker |
SPEAKER_16 |
transcript.pyannote[814].start |
6298.35471875 |
transcript.pyannote[814].end |
6298.82721875 |
transcript.pyannote[815].speaker |
SPEAKER_16 |
transcript.pyannote[815].start |
6299.60346875 |
transcript.pyannote[815].end |
6302.32034375 |
transcript.pyannote[816].speaker |
SPEAKER_16 |
transcript.pyannote[816].start |
6302.69159375 |
transcript.pyannote[816].end |
6306.69096875 |
transcript.pyannote[817].speaker |
SPEAKER_16 |
transcript.pyannote[817].start |
6307.73721875 |
transcript.pyannote[817].end |
6309.76221875 |
transcript.pyannote[818].speaker |
SPEAKER_16 |
transcript.pyannote[818].start |
6310.38659375 |
transcript.pyannote[818].end |
6311.75346875 |
transcript.pyannote[819].speaker |
SPEAKER_16 |
transcript.pyannote[819].start |
6312.49596875 |
transcript.pyannote[819].end |
6314.40284375 |
transcript.pyannote[820].speaker |
SPEAKER_16 |
transcript.pyannote[820].start |
6314.82471875 |
transcript.pyannote[820].end |
6315.34784375 |
transcript.pyannote[821].speaker |
SPEAKER_16 |
transcript.pyannote[821].start |
6316.22534375 |
transcript.pyannote[821].end |
6317.20409375 |
transcript.pyannote[822].speaker |
SPEAKER_16 |
transcript.pyannote[822].start |
6317.64284375 |
transcript.pyannote[822].end |
6321.79409375 |
transcript.pyannote[823].speaker |
SPEAKER_16 |
transcript.pyannote[823].start |
6322.11471875 |
transcript.pyannote[823].end |
6324.83159375 |
transcript.pyannote[824].speaker |
SPEAKER_16 |
transcript.pyannote[824].start |
6325.67534375 |
transcript.pyannote[824].end |
6329.03346875 |
transcript.pyannote[825].speaker |
SPEAKER_00 |
transcript.pyannote[825].start |
6325.75971875 |
transcript.pyannote[825].end |
6326.46846875 |
transcript.pyannote[826].speaker |
SPEAKER_16 |
transcript.pyannote[826].start |
6330.04596875 |
transcript.pyannote[826].end |
6331.02471875 |
transcript.pyannote[827].speaker |
SPEAKER_16 |
transcript.pyannote[827].start |
6331.22721875 |
transcript.pyannote[827].end |
6334.65284375 |
transcript.pyannote[828].speaker |
SPEAKER_16 |
transcript.pyannote[828].start |
6335.20971875 |
transcript.pyannote[828].end |
6336.37409375 |
transcript.pyannote[829].speaker |
SPEAKER_16 |
transcript.pyannote[829].start |
6336.94784375 |
transcript.pyannote[829].end |
6338.71971875 |
transcript.pyannote[830].speaker |
SPEAKER_16 |
transcript.pyannote[830].start |
6339.20909375 |
transcript.pyannote[830].end |
6340.20471875 |
transcript.pyannote[831].speaker |
SPEAKER_16 |
transcript.pyannote[831].start |
6340.82909375 |
transcript.pyannote[831].end |
6341.33534375 |
transcript.pyannote[832].speaker |
SPEAKER_16 |
transcript.pyannote[832].start |
6342.09471875 |
transcript.pyannote[832].end |
6343.39409375 |
transcript.pyannote[833].speaker |
SPEAKER_16 |
transcript.pyannote[833].start |
6343.78221875 |
transcript.pyannote[833].end |
6345.62159375 |
transcript.pyannote[834].speaker |
SPEAKER_16 |
transcript.pyannote[834].start |
6346.16159375 |
transcript.pyannote[834].end |
6346.95471875 |
transcript.pyannote[835].speaker |
SPEAKER_16 |
transcript.pyannote[835].start |
6347.14034375 |
transcript.pyannote[835].end |
6348.87846875 |
transcript.pyannote[836].speaker |
SPEAKER_16 |
transcript.pyannote[836].start |
6349.19909375 |
transcript.pyannote[836].end |
6349.85721875 |
transcript.pyannote[837].speaker |
SPEAKER_16 |
transcript.pyannote[837].start |
6350.65034375 |
transcript.pyannote[837].end |
6351.22409375 |
transcript.pyannote[838].speaker |
SPEAKER_16 |
transcript.pyannote[838].start |
6351.81471875 |
transcript.pyannote[838].end |
6353.13096875 |
transcript.pyannote[839].speaker |
SPEAKER_16 |
transcript.pyannote[839].start |
6353.78909375 |
transcript.pyannote[839].end |
6354.32909375 |
transcript.pyannote[840].speaker |
SPEAKER_16 |
transcript.pyannote[840].start |
6355.17284375 |
transcript.pyannote[840].end |
6356.13471875 |
transcript.pyannote[841].speaker |
SPEAKER_16 |
transcript.pyannote[841].start |
6357.07971875 |
transcript.pyannote[841].end |
6357.55221875 |
transcript.pyannote[842].speaker |
SPEAKER_16 |
transcript.pyannote[842].start |
6357.80534375 |
transcript.pyannote[842].end |
6358.98659375 |
transcript.pyannote[843].speaker |
SPEAKER_16 |
transcript.pyannote[843].start |
6360.08346875 |
transcript.pyannote[843].end |
6360.85971875 |
transcript.pyannote[844].speaker |
SPEAKER_16 |
transcript.pyannote[844].start |
6361.26471875 |
transcript.pyannote[844].end |
6363.72846875 |
transcript.pyannote[845].speaker |
SPEAKER_16 |
transcript.pyannote[845].start |
6364.23471875 |
transcript.pyannote[845].end |
6364.45409375 |
transcript.pyannote[846].speaker |
SPEAKER_16 |
transcript.pyannote[846].start |
6365.14596875 |
transcript.pyannote[846].end |
6369.09471875 |
transcript.pyannote[847].speaker |
SPEAKER_16 |
transcript.pyannote[847].start |
6369.82034375 |
transcript.pyannote[847].end |
6371.98034375 |
transcript.pyannote[848].speaker |
SPEAKER_16 |
transcript.pyannote[848].start |
6372.35159375 |
transcript.pyannote[848].end |
6373.48221875 |
transcript.pyannote[849].speaker |
SPEAKER_16 |
transcript.pyannote[849].start |
6374.24159375 |
transcript.pyannote[849].end |
6375.06846875 |
transcript.pyannote[850].speaker |
SPEAKER_16 |
transcript.pyannote[850].start |
6376.67159375 |
transcript.pyannote[850].end |
6377.53221875 |
transcript.pyannote[851].speaker |
SPEAKER_16 |
transcript.pyannote[851].start |
6377.95409375 |
transcript.pyannote[851].end |
6378.57846875 |
transcript.pyannote[852].speaker |
SPEAKER_16 |
transcript.pyannote[852].start |
6379.33784375 |
transcript.pyannote[852].end |
6379.69221875 |
transcript.pyannote[853].speaker |
SPEAKER_16 |
transcript.pyannote[853].start |
6380.02971875 |
transcript.pyannote[853].end |
6381.02534375 |
transcript.pyannote[854].speaker |
SPEAKER_16 |
transcript.pyannote[854].start |
6381.41346875 |
transcript.pyannote[854].end |
6382.64534375 |
transcript.pyannote[855].speaker |
SPEAKER_16 |
transcript.pyannote[855].start |
6383.45534375 |
transcript.pyannote[855].end |
6383.86034375 |
transcript.pyannote[856].speaker |
SPEAKER_16 |
transcript.pyannote[856].start |
6384.90659375 |
transcript.pyannote[856].end |
6385.98659375 |
transcript.pyannote[857].speaker |
SPEAKER_16 |
transcript.pyannote[857].start |
6386.91471875 |
transcript.pyannote[857].end |
6388.16346875 |
transcript.pyannote[858].speaker |
SPEAKER_16 |
transcript.pyannote[858].start |
6389.29409375 |
transcript.pyannote[858].end |
6390.01971875 |
transcript.pyannote[859].speaker |
SPEAKER_16 |
transcript.pyannote[859].start |
6390.64409375 |
transcript.pyannote[859].end |
6391.42034375 |
transcript.pyannote[860].speaker |
SPEAKER_16 |
transcript.pyannote[860].start |
6391.53846875 |
transcript.pyannote[860].end |
6393.61409375 |
transcript.pyannote[861].speaker |
SPEAKER_16 |
transcript.pyannote[861].start |
6393.96846875 |
transcript.pyannote[861].end |
6397.15784375 |
transcript.pyannote[862].speaker |
SPEAKER_16 |
transcript.pyannote[862].start |
6397.73159375 |
transcript.pyannote[862].end |
6400.26284375 |
transcript.pyannote[863].speaker |
SPEAKER_16 |
transcript.pyannote[863].start |
6400.80284375 |
transcript.pyannote[863].end |
6403.28346875 |
transcript.pyannote[864].speaker |
SPEAKER_16 |
transcript.pyannote[864].start |
6404.05971875 |
transcript.pyannote[864].end |
6408.21096875 |
transcript.pyannote[865].speaker |
SPEAKER_16 |
transcript.pyannote[865].start |
6408.61596875 |
transcript.pyannote[865].end |
6410.96159375 |
transcript.pyannote[866].speaker |
SPEAKER_16 |
transcript.pyannote[866].start |
6411.53534375 |
transcript.pyannote[866].end |
6413.12159375 |
transcript.pyannote[867].speaker |
SPEAKER_16 |
transcript.pyannote[867].start |
6413.76284375 |
transcript.pyannote[867].end |
6416.47971875 |
transcript.pyannote[868].speaker |
SPEAKER_16 |
transcript.pyannote[868].start |
6417.27284375 |
transcript.pyannote[868].end |
6420.73221875 |
transcript.pyannote[869].speaker |
SPEAKER_16 |
transcript.pyannote[869].start |
6421.54221875 |
transcript.pyannote[869].end |
6426.67221875 |
transcript.pyannote[870].speaker |
SPEAKER_16 |
transcript.pyannote[870].start |
6427.22909375 |
transcript.pyannote[870].end |
6431.21159375 |
transcript.pyannote[871].speaker |
SPEAKER_16 |
transcript.pyannote[871].start |
6431.39721875 |
transcript.pyannote[871].end |
6442.02846875 |
transcript.pyannote[872].speaker |
SPEAKER_17 |
transcript.pyannote[872].start |
6442.02846875 |
transcript.pyannote[872].end |
6450.31409375 |
transcript.pyannote[873].speaker |
SPEAKER_17 |
transcript.pyannote[873].start |
6450.49971875 |
transcript.pyannote[873].end |
6457.24971875 |
transcript.pyannote[874].speaker |
SPEAKER_17 |
transcript.pyannote[874].start |
6457.53659375 |
transcript.pyannote[874].end |
6492.11346875 |
transcript.pyannote[875].speaker |
SPEAKER_16 |
transcript.pyannote[875].start |
6492.11346875 |
transcript.pyannote[875].end |
6492.14721875 |
transcript.pyannote[876].speaker |
SPEAKER_17 |
transcript.pyannote[876].start |
6492.78846875 |
transcript.pyannote[876].end |
6492.80534375 |
transcript.pyannote[877].speaker |
SPEAKER_16 |
transcript.pyannote[877].start |
6492.80534375 |
transcript.pyannote[877].end |
6492.82221875 |
transcript.pyannote[878].speaker |
SPEAKER_17 |
transcript.pyannote[878].start |
6492.82221875 |
transcript.pyannote[878].end |
6492.97409375 |
transcript.pyannote[879].speaker |
SPEAKER_16 |
transcript.pyannote[879].start |
6492.97409375 |
transcript.pyannote[879].end |
6508.58346875 |
transcript.pyannote[880].speaker |
SPEAKER_16 |
transcript.pyannote[880].start |
6509.34284375 |
transcript.pyannote[880].end |
6512.71784375 |
transcript.pyannote[881].speaker |
SPEAKER_16 |
transcript.pyannote[881].start |
6513.51096875 |
transcript.pyannote[881].end |
6515.99159375 |
transcript.pyannote[882].speaker |
SPEAKER_16 |
transcript.pyannote[882].start |
6516.68346875 |
transcript.pyannote[882].end |
6516.83534375 |
transcript.pyannote[883].speaker |
SPEAKER_16 |
transcript.pyannote[883].start |
6517.27409375 |
transcript.pyannote[883].end |
6520.88534375 |
transcript.pyannote[884].speaker |
SPEAKER_16 |
transcript.pyannote[884].start |
6521.39159375 |
transcript.pyannote[884].end |
6523.78784375 |
transcript.pyannote[885].speaker |
SPEAKER_16 |
transcript.pyannote[885].start |
6524.29409375 |
transcript.pyannote[885].end |
6527.80409375 |
transcript.pyannote[886].speaker |
SPEAKER_16 |
transcript.pyannote[886].start |
6528.05721875 |
transcript.pyannote[886].end |
6537.05159375 |
transcript.pyannote[887].speaker |
SPEAKER_16 |
transcript.pyannote[887].start |
6537.40596875 |
transcript.pyannote[887].end |
6537.96284375 |
transcript.pyannote[888].speaker |
SPEAKER_17 |
transcript.pyannote[888].start |
6537.96284375 |
transcript.pyannote[888].end |
6541.48971875 |
transcript.pyannote[889].speaker |
SPEAKER_16 |
transcript.pyannote[889].start |
6537.97971875 |
transcript.pyannote[889].end |
6538.70534375 |
transcript.pyannote[890].speaker |
SPEAKER_16 |
transcript.pyannote[890].start |
6541.48971875 |
transcript.pyannote[890].end |
6541.52346875 |
transcript.pyannote[891].speaker |
SPEAKER_17 |
transcript.pyannote[891].start |
6541.52346875 |
transcript.pyannote[891].end |
6541.96221875 |
transcript.pyannote[892].speaker |
SPEAKER_16 |
transcript.pyannote[892].start |
6541.96221875 |
transcript.pyannote[892].end |
6542.92409375 |
transcript.pyannote[893].speaker |
SPEAKER_17 |
transcript.pyannote[893].start |
6542.45159375 |
transcript.pyannote[893].end |
6542.94096875 |
transcript.pyannote[894].speaker |
SPEAKER_16 |
transcript.pyannote[894].start |
6542.94096875 |
transcript.pyannote[894].end |
6543.63284375 |
transcript.pyannote[895].speaker |
SPEAKER_17 |
transcript.pyannote[895].start |
6543.86909375 |
transcript.pyannote[895].end |
6545.40471875 |
transcript.pyannote[896].speaker |
SPEAKER_16 |
transcript.pyannote[896].start |
6543.93659375 |
transcript.pyannote[896].end |
6545.50596875 |
transcript.pyannote[897].speaker |
SPEAKER_16 |
transcript.pyannote[897].start |
6545.97846875 |
transcript.pyannote[897].end |
6551.54721875 |
transcript.pyannote[898].speaker |
SPEAKER_17 |
transcript.pyannote[898].start |
6551.96909375 |
transcript.pyannote[898].end |
6562.71846875 |
transcript.pyannote[899].speaker |
SPEAKER_16 |
transcript.pyannote[899].start |
6552.00284375 |
transcript.pyannote[899].end |
6552.67784375 |
transcript.pyannote[900].speaker |
SPEAKER_16 |
transcript.pyannote[900].start |
6552.77909375 |
transcript.pyannote[900].end |
6553.08284375 |
transcript.pyannote[901].speaker |
SPEAKER_16 |
transcript.pyannote[901].start |
6553.50471875 |
transcript.pyannote[901].end |
6556.25534375 |
transcript.pyannote[902].speaker |
SPEAKER_16 |
transcript.pyannote[902].start |
6556.57596875 |
transcript.pyannote[902].end |
6556.98096875 |
transcript.pyannote[903].speaker |
SPEAKER_16 |
transcript.pyannote[903].start |
6560.42346875 |
transcript.pyannote[903].end |
6561.19971875 |
transcript.pyannote[904].speaker |
SPEAKER_17 |
transcript.pyannote[904].start |
6562.83659375 |
transcript.pyannote[904].end |
6563.17409375 |
transcript.pyannote[905].speaker |
SPEAKER_16 |
transcript.pyannote[905].start |
6563.17409375 |
transcript.pyannote[905].end |
6563.20784375 |
transcript.pyannote[906].speaker |
SPEAKER_17 |
transcript.pyannote[906].start |
6563.79846875 |
transcript.pyannote[906].end |
6563.96721875 |
transcript.pyannote[907].speaker |
SPEAKER_16 |
transcript.pyannote[907].start |
6563.96721875 |
transcript.pyannote[907].end |
6565.16534375 |
transcript.pyannote[908].speaker |
SPEAKER_16 |
transcript.pyannote[908].start |
6567.05534375 |
transcript.pyannote[908].end |
6567.71346875 |
transcript.pyannote[909].speaker |
SPEAKER_16 |
transcript.pyannote[909].start |
6568.03409375 |
transcript.pyannote[909].end |
6568.94534375 |
transcript.pyannote[910].speaker |
SPEAKER_16 |
transcript.pyannote[910].start |
6569.46846875 |
transcript.pyannote[910].end |
6570.66659375 |
transcript.pyannote[911].speaker |
SPEAKER_16 |
transcript.pyannote[911].start |
6571.37534375 |
transcript.pyannote[911].end |
6573.53534375 |
transcript.pyannote[912].speaker |
SPEAKER_16 |
transcript.pyannote[912].start |
6574.46346875 |
transcript.pyannote[912].end |
6582.19221875 |
transcript.pyannote[913].speaker |
SPEAKER_16 |
transcript.pyannote[913].start |
6582.71534375 |
transcript.pyannote[913].end |
6586.68096875 |
transcript.pyannote[914].speaker |
SPEAKER_16 |
transcript.pyannote[914].start |
6587.01846875 |
transcript.pyannote[914].end |
6591.91221875 |
transcript.pyannote[915].speaker |
SPEAKER_16 |
transcript.pyannote[915].start |
6592.33409375 |
transcript.pyannote[915].end |
6594.32534375 |
transcript.pyannote[916].speaker |
SPEAKER_16 |
transcript.pyannote[916].start |
6594.88221875 |
transcript.pyannote[916].end |
6595.42221875 |
transcript.pyannote[917].speaker |
SPEAKER_16 |
transcript.pyannote[917].start |
6595.50659375 |
transcript.pyannote[917].end |
6598.52721875 |
transcript.pyannote[918].speaker |
SPEAKER_16 |
transcript.pyannote[918].start |
6599.20221875 |
transcript.pyannote[918].end |
6600.87284375 |
transcript.pyannote[919].speaker |
SPEAKER_16 |
transcript.pyannote[919].start |
6602.30721875 |
transcript.pyannote[919].end |
6603.26909375 |
transcript.pyannote[920].speaker |
SPEAKER_16 |
transcript.pyannote[920].start |
6603.52221875 |
transcript.pyannote[920].end |
6605.85096875 |
transcript.pyannote[921].speaker |
SPEAKER_16 |
transcript.pyannote[921].start |
6606.25596875 |
transcript.pyannote[921].end |
6608.06159375 |
transcript.pyannote[922].speaker |
SPEAKER_16 |
transcript.pyannote[922].start |
6609.00659375 |
transcript.pyannote[922].end |
6611.48721875 |
transcript.pyannote[923].speaker |
SPEAKER_16 |
transcript.pyannote[923].start |
6611.70659375 |
transcript.pyannote[923].end |
6612.53346875 |
transcript.pyannote[924].speaker |
SPEAKER_16 |
transcript.pyannote[924].start |
6612.98909375 |
transcript.pyannote[924].end |
6614.30534375 |
transcript.pyannote[925].speaker |
SPEAKER_16 |
transcript.pyannote[925].start |
6614.77784375 |
transcript.pyannote[925].end |
6616.38096875 |
transcript.pyannote[926].speaker |
SPEAKER_16 |
transcript.pyannote[926].start |
6616.49909375 |
transcript.pyannote[926].end |
6617.98409375 |
transcript.pyannote[927].speaker |
SPEAKER_16 |
transcript.pyannote[927].start |
6618.47346875 |
transcript.pyannote[927].end |
6619.43534375 |
transcript.pyannote[928].speaker |
SPEAKER_16 |
transcript.pyannote[928].start |
6620.34659375 |
transcript.pyannote[928].end |
6622.01721875 |
transcript.pyannote[929].speaker |
SPEAKER_16 |
transcript.pyannote[929].start |
6622.52346875 |
transcript.pyannote[929].end |
6625.40909375 |
transcript.pyannote[930].speaker |
SPEAKER_16 |
transcript.pyannote[930].start |
6625.59471875 |
transcript.pyannote[930].end |
6627.51846875 |
transcript.pyannote[931].speaker |
SPEAKER_16 |
transcript.pyannote[931].start |
6628.05846875 |
transcript.pyannote[931].end |
6630.03284375 |
transcript.pyannote[932].speaker |
SPEAKER_17 |
transcript.pyannote[932].start |
6629.44221875 |
transcript.pyannote[932].end |
6634.63971875 |
transcript.pyannote[933].speaker |
SPEAKER_16 |
transcript.pyannote[933].start |
6634.63971875 |
transcript.pyannote[933].end |
6636.14159375 |
transcript.pyannote[934].speaker |
SPEAKER_16 |
transcript.pyannote[934].start |
6636.68159375 |
transcript.pyannote[934].end |
6638.92596875 |
transcript.pyannote[935].speaker |
SPEAKER_16 |
transcript.pyannote[935].start |
6640.68096875 |
transcript.pyannote[935].end |
6641.79471875 |
transcript.pyannote[936].speaker |
SPEAKER_16 |
transcript.pyannote[936].start |
6642.60471875 |
transcript.pyannote[936].end |
6652.17284375 |
transcript.pyannote[937].speaker |
SPEAKER_17 |
transcript.pyannote[937].start |
6644.84909375 |
transcript.pyannote[937].end |
6646.87409375 |
transcript.pyannote[938].speaker |
SPEAKER_17 |
transcript.pyannote[938].start |
6652.17284375 |
transcript.pyannote[938].end |
6654.29909375 |
transcript.pyannote[939].speaker |
SPEAKER_16 |
transcript.pyannote[939].start |
6652.71284375 |
transcript.pyannote[939].end |
6659.44596875 |
transcript.pyannote[940].speaker |
SPEAKER_17 |
transcript.pyannote[940].start |
6656.12159375 |
transcript.pyannote[940].end |
6656.56034375 |
transcript.pyannote[941].speaker |
SPEAKER_16 |
transcript.pyannote[941].start |
6660.13784375 |
transcript.pyannote[941].end |
6663.07409375 |
transcript.pyannote[942].speaker |
SPEAKER_16 |
transcript.pyannote[942].start |
6663.86721875 |
transcript.pyannote[942].end |
6665.53784375 |
transcript.pyannote[943].speaker |
SPEAKER_16 |
transcript.pyannote[943].start |
6666.28034375 |
transcript.pyannote[943].end |
6667.02284375 |
transcript.pyannote[944].speaker |
SPEAKER_16 |
transcript.pyannote[944].start |
6667.47846875 |
transcript.pyannote[944].end |
6671.02221875 |
transcript.pyannote[945].speaker |
SPEAKER_16 |
transcript.pyannote[945].start |
6671.24159375 |
transcript.pyannote[945].end |
6672.01784375 |
transcript.pyannote[946].speaker |
SPEAKER_16 |
transcript.pyannote[946].start |
6672.72659375 |
transcript.pyannote[946].end |
6673.80659375 |
transcript.pyannote[947].speaker |
SPEAKER_16 |
transcript.pyannote[947].start |
6674.31284375 |
transcript.pyannote[947].end |
6676.42221875 |
transcript.pyannote[948].speaker |
SPEAKER_16 |
transcript.pyannote[948].start |
6677.50221875 |
transcript.pyannote[948].end |
6679.20659375 |
transcript.pyannote[949].speaker |
SPEAKER_16 |
transcript.pyannote[949].start |
6680.11784375 |
transcript.pyannote[949].end |
6681.28221875 |
transcript.pyannote[950].speaker |
SPEAKER_16 |
transcript.pyannote[950].start |
6681.78846875 |
transcript.pyannote[950].end |
6682.22721875 |
transcript.pyannote[951].speaker |
SPEAKER_16 |
transcript.pyannote[951].start |
6682.78409375 |
transcript.pyannote[951].end |
6685.19721875 |
transcript.pyannote[952].speaker |
SPEAKER_16 |
transcript.pyannote[952].start |
6685.65284375 |
transcript.pyannote[952].end |
6697.75221875 |
transcript.pyannote[953].speaker |
SPEAKER_16 |
transcript.pyannote[953].start |
6698.34284375 |
transcript.pyannote[953].end |
6707.57346875 |
transcript.pyannote[954].speaker |
SPEAKER_16 |
transcript.pyannote[954].start |
6708.34971875 |
transcript.pyannote[954].end |
6708.92346875 |
transcript.pyannote[955].speaker |
SPEAKER_16 |
transcript.pyannote[955].start |
6709.73346875 |
transcript.pyannote[955].end |
6711.53909375 |
transcript.pyannote[956].speaker |
SPEAKER_16 |
transcript.pyannote[956].start |
6712.31534375 |
transcript.pyannote[956].end |
6716.33159375 |
transcript.pyannote[957].speaker |
SPEAKER_16 |
transcript.pyannote[957].start |
6716.70284375 |
transcript.pyannote[957].end |
6723.19971875 |
transcript.pyannote[958].speaker |
SPEAKER_16 |
transcript.pyannote[958].start |
6723.48659375 |
transcript.pyannote[958].end |
6726.86159375 |
transcript.pyannote[959].speaker |
SPEAKER_16 |
transcript.pyannote[959].start |
6727.08096875 |
transcript.pyannote[959].end |
6729.69659375 |
transcript.pyannote[960].speaker |
SPEAKER_16 |
transcript.pyannote[960].start |
6731.46846875 |
transcript.pyannote[960].end |
6732.63284375 |
transcript.pyannote[961].speaker |
SPEAKER_16 |
transcript.pyannote[961].start |
6733.24034375 |
transcript.pyannote[961].end |
6735.02909375 |
transcript.pyannote[962].speaker |
SPEAKER_17 |
transcript.pyannote[962].start |
6735.02909375 |
transcript.pyannote[962].end |
6748.84971875 |
transcript.pyannote[963].speaker |
SPEAKER_16 |
transcript.pyannote[963].start |
6736.29471875 |
transcript.pyannote[963].end |
6736.90221875 |
transcript.pyannote[964].speaker |
SPEAKER_17 |
transcript.pyannote[964].start |
6749.38971875 |
transcript.pyannote[964].end |
6752.61284375 |
transcript.pyannote[965].speaker |
SPEAKER_17 |
transcript.pyannote[965].start |
6753.15284375 |
transcript.pyannote[965].end |
6756.32534375 |
transcript.pyannote[966].speaker |
SPEAKER_00 |
transcript.pyannote[966].start |
6755.02596875 |
transcript.pyannote[966].end |
6755.78534375 |
transcript.pyannote[967].speaker |
SPEAKER_17 |
transcript.pyannote[967].start |
6756.96659375 |
transcript.pyannote[967].end |
6769.65659375 |
transcript.pyannote[968].speaker |
SPEAKER_17 |
transcript.pyannote[968].start |
6770.12909375 |
transcript.pyannote[968].end |
6776.37284375 |
transcript.pyannote[969].speaker |
SPEAKER_17 |
transcript.pyannote[969].start |
6776.72721875 |
transcript.pyannote[969].end |
6779.56221875 |
transcript.pyannote[970].speaker |
SPEAKER_17 |
transcript.pyannote[970].start |
6780.06846875 |
transcript.pyannote[970].end |
6783.74721875 |
transcript.pyannote[971].speaker |
SPEAKER_17 |
transcript.pyannote[971].start |
6784.01721875 |
transcript.pyannote[971].end |
6785.60346875 |
transcript.pyannote[972].speaker |
SPEAKER_17 |
transcript.pyannote[972].start |
6785.92409375 |
transcript.pyannote[972].end |
6789.67034375 |
transcript.pyannote[973].speaker |
SPEAKER_17 |
transcript.pyannote[973].start |
6790.15971875 |
transcript.pyannote[973].end |
6790.48034375 |
transcript.pyannote[974].speaker |
SPEAKER_17 |
transcript.pyannote[974].start |
6790.88534375 |
transcript.pyannote[974].end |
6792.97784375 |
transcript.pyannote[975].speaker |
SPEAKER_16 |
transcript.pyannote[975].start |
6792.97784375 |
transcript.pyannote[975].end |
6795.76221875 |
transcript.pyannote[976].speaker |
SPEAKER_04 |
transcript.pyannote[976].start |
6796.92659375 |
transcript.pyannote[976].end |
6800.57159375 |
transcript.pyannote[977].speaker |
SPEAKER_06 |
transcript.pyannote[977].start |
6807.99659375 |
transcript.pyannote[977].end |
6810.35909375 |
transcript.pyannote[978].speaker |
SPEAKER_06 |
transcript.pyannote[978].start |
6811.11846875 |
transcript.pyannote[978].end |
6811.69221875 |
transcript.pyannote[979].speaker |
SPEAKER_17 |
transcript.pyannote[979].start |
6817.53096875 |
transcript.pyannote[979].end |
6817.95284375 |
transcript.pyannote[980].speaker |
SPEAKER_06 |
transcript.pyannote[980].start |
6818.47596875 |
transcript.pyannote[980].end |
6818.76284375 |
transcript.pyannote[981].speaker |
SPEAKER_06 |
transcript.pyannote[981].start |
6819.38721875 |
transcript.pyannote[981].end |
6822.35721875 |
transcript.pyannote[982].speaker |
SPEAKER_06 |
transcript.pyannote[982].start |
6822.79596875 |
transcript.pyannote[982].end |
6824.80409375 |
transcript.pyannote[983].speaker |
SPEAKER_06 |
transcript.pyannote[983].start |
6825.05721875 |
transcript.pyannote[983].end |
6829.76534375 |
transcript.pyannote[984].speaker |
SPEAKER_06 |
transcript.pyannote[984].start |
6830.40659375 |
transcript.pyannote[984].end |
6834.16971875 |
transcript.pyannote[985].speaker |
SPEAKER_06 |
transcript.pyannote[985].start |
6834.38909375 |
transcript.pyannote[985].end |
6837.25784375 |
transcript.pyannote[986].speaker |
SPEAKER_06 |
transcript.pyannote[986].start |
6837.74721875 |
transcript.pyannote[986].end |
6840.63284375 |
transcript.pyannote[987].speaker |
SPEAKER_06 |
transcript.pyannote[987].start |
6841.17284375 |
transcript.pyannote[987].end |
6843.63659375 |
transcript.pyannote[988].speaker |
SPEAKER_06 |
transcript.pyannote[988].start |
6844.24409375 |
transcript.pyannote[988].end |
6848.02409375 |
transcript.pyannote[989].speaker |
SPEAKER_06 |
transcript.pyannote[989].start |
6848.41221875 |
transcript.pyannote[989].end |
6851.33159375 |
transcript.pyannote[990].speaker |
SPEAKER_06 |
transcript.pyannote[990].start |
6852.14159375 |
transcript.pyannote[990].end |
6853.32284375 |
transcript.pyannote[991].speaker |
SPEAKER_13 |
transcript.pyannote[991].start |
6853.44096875 |
transcript.pyannote[991].end |
6853.84596875 |
transcript.pyannote[992].speaker |
SPEAKER_06 |
transcript.pyannote[992].start |
6853.79534375 |
transcript.pyannote[992].end |
6857.49096875 |
transcript.pyannote[993].speaker |
SPEAKER_06 |
transcript.pyannote[993].start |
6857.94659375 |
transcript.pyannote[993].end |
6866.19846875 |
transcript.pyannote[994].speaker |
SPEAKER_06 |
transcript.pyannote[994].start |
6866.77221875 |
transcript.pyannote[994].end |
6869.47221875 |
transcript.pyannote[995].speaker |
SPEAKER_06 |
transcript.pyannote[995].start |
6869.96159375 |
transcript.pyannote[995].end |
6874.28159375 |
transcript.pyannote[996].speaker |
SPEAKER_06 |
transcript.pyannote[996].start |
6874.55159375 |
transcript.pyannote[996].end |
6875.39534375 |
transcript.pyannote[997].speaker |
SPEAKER_06 |
transcript.pyannote[997].start |
6875.54721875 |
transcript.pyannote[997].end |
6880.81221875 |
transcript.pyannote[998].speaker |
SPEAKER_06 |
transcript.pyannote[998].start |
6881.87534375 |
transcript.pyannote[998].end |
6882.80346875 |
transcript.pyannote[999].speaker |
SPEAKER_06 |
transcript.pyannote[999].start |
6883.34346875 |
transcript.pyannote[999].end |
6891.00471875 |
transcript.pyannote[1000].speaker |
SPEAKER_06 |
transcript.pyannote[1000].start |
6891.40971875 |
transcript.pyannote[1000].end |
6895.52721875 |
transcript.pyannote[1001].speaker |
SPEAKER_06 |
transcript.pyannote[1001].start |
6895.67909375 |
transcript.pyannote[1001].end |
6907.10346875 |
transcript.pyannote[1002].speaker |
SPEAKER_06 |
transcript.pyannote[1002].start |
6907.64346875 |
transcript.pyannote[1002].end |
6910.29284375 |
transcript.pyannote[1003].speaker |
SPEAKER_06 |
transcript.pyannote[1003].start |
6910.46159375 |
transcript.pyannote[1003].end |
6911.89596875 |
transcript.pyannote[1004].speaker |
SPEAKER_06 |
transcript.pyannote[1004].start |
6912.25034375 |
transcript.pyannote[1004].end |
6918.94971875 |
transcript.pyannote[1005].speaker |
SPEAKER_06 |
transcript.pyannote[1005].start |
6919.37159375 |
transcript.pyannote[1005].end |
6920.75534375 |
transcript.pyannote[1006].speaker |
SPEAKER_06 |
transcript.pyannote[1006].start |
6921.00846875 |
transcript.pyannote[1006].end |
6928.85534375 |
transcript.pyannote[1007].speaker |
SPEAKER_06 |
transcript.pyannote[1007].start |
6929.02409375 |
transcript.pyannote[1007].end |
6930.89721875 |
transcript.pyannote[1008].speaker |
SPEAKER_06 |
transcript.pyannote[1008].start |
6931.20096875 |
transcript.pyannote[1008].end |
6933.31034375 |
transcript.pyannote[1009].speaker |
SPEAKER_17 |
transcript.pyannote[1009].start |
6933.31034375 |
transcript.pyannote[1009].end |
6935.80784375 |
transcript.pyannote[1010].speaker |
SPEAKER_17 |
transcript.pyannote[1010].start |
6936.48284375 |
transcript.pyannote[1010].end |
6943.87409375 |
transcript.pyannote[1011].speaker |
SPEAKER_17 |
transcript.pyannote[1011].start |
6944.17784375 |
transcript.pyannote[1011].end |
6950.11784375 |
transcript.pyannote[1012].speaker |
SPEAKER_06 |
transcript.pyannote[1012].start |
6949.69596875 |
transcript.pyannote[1012].end |
6952.02471875 |
transcript.pyannote[1013].speaker |
SPEAKER_06 |
transcript.pyannote[1013].start |
6952.61534375 |
transcript.pyannote[1013].end |
6953.00346875 |
transcript.pyannote[1014].speaker |
SPEAKER_06 |
transcript.pyannote[1014].start |
6953.13846875 |
transcript.pyannote[1014].end |
6956.78346875 |
transcript.pyannote[1015].speaker |
SPEAKER_17 |
transcript.pyannote[1015].start |
6956.31096875 |
transcript.pyannote[1015].end |
6959.73659375 |
transcript.pyannote[1016].speaker |
SPEAKER_06 |
transcript.pyannote[1016].start |
6958.65659375 |
transcript.pyannote[1016].end |
6960.76596875 |
transcript.pyannote[1017].speaker |
SPEAKER_17 |
transcript.pyannote[1017].start |
6960.76596875 |
transcript.pyannote[1017].end |
6961.87971875 |
transcript.pyannote[1018].speaker |
SPEAKER_06 |
transcript.pyannote[1018].start |
6961.25534375 |
transcript.pyannote[1018].end |
6963.76971875 |
transcript.pyannote[1019].speaker |
SPEAKER_17 |
transcript.pyannote[1019].start |
6963.85409375 |
transcript.pyannote[1019].end |
6981.72471875 |
transcript.pyannote[1020].speaker |
SPEAKER_06 |
transcript.pyannote[1020].start |
6971.66721875 |
transcript.pyannote[1020].end |
6971.70096875 |
transcript.pyannote[1021].speaker |
SPEAKER_14 |
transcript.pyannote[1021].start |
6971.70096875 |
transcript.pyannote[1021].end |
6971.90346875 |
transcript.pyannote[1022].speaker |
SPEAKER_06 |
transcript.pyannote[1022].start |
6971.90346875 |
transcript.pyannote[1022].end |
6971.97096875 |
transcript.pyannote[1023].speaker |
SPEAKER_06 |
transcript.pyannote[1023].start |
6976.07159375 |
transcript.pyannote[1023].end |
6976.32471875 |
transcript.pyannote[1024].speaker |
SPEAKER_06 |
transcript.pyannote[1024].start |
6981.67409375 |
transcript.pyannote[1024].end |
6982.78784375 |
transcript.pyannote[1025].speaker |
SPEAKER_17 |
transcript.pyannote[1025].start |
6982.39971875 |
transcript.pyannote[1025].end |
6986.07846875 |
transcript.pyannote[1026].speaker |
SPEAKER_06 |
transcript.pyannote[1026].start |
6984.81284375 |
transcript.pyannote[1026].end |
6986.39909375 |
transcript.pyannote[1027].speaker |
SPEAKER_17 |
transcript.pyannote[1027].start |
6986.44971875 |
transcript.pyannote[1027].end |
6999.76409375 |
transcript.pyannote[1028].speaker |
SPEAKER_06 |
transcript.pyannote[1028].start |
6996.05159375 |
transcript.pyannote[1028].end |
6998.61659375 |
transcript.pyannote[1029].speaker |
SPEAKER_06 |
transcript.pyannote[1029].start |
6999.27471875 |
transcript.pyannote[1029].end |
7002.46409375 |
transcript.pyannote[1030].speaker |
SPEAKER_17 |
transcript.pyannote[1030].start |
7002.88596875 |
transcript.pyannote[1030].end |
7010.09159375 |
transcript.pyannote[1031].speaker |
SPEAKER_17 |
transcript.pyannote[1031].start |
7010.39534375 |
transcript.pyannote[1031].end |
7024.09784375 |
transcript.pyannote[1032].speaker |
SPEAKER_06 |
transcript.pyannote[1032].start |
7023.54096875 |
transcript.pyannote[1032].end |
7025.09346875 |
transcript.pyannote[1033].speaker |
SPEAKER_17 |
transcript.pyannote[1033].start |
7025.09346875 |
transcript.pyannote[1033].end |
7029.44721875 |
transcript.pyannote[1034].speaker |
SPEAKER_06 |
transcript.pyannote[1034].start |
7025.58284375 |
transcript.pyannote[1034].end |
7027.13534375 |
transcript.pyannote[1035].speaker |
SPEAKER_06 |
transcript.pyannote[1035].start |
7028.70471875 |
transcript.pyannote[1035].end |
7040.83784375 |
transcript.pyannote[1036].speaker |
SPEAKER_06 |
transcript.pyannote[1036].start |
7041.52971875 |
transcript.pyannote[1036].end |
7043.74034375 |
transcript.pyannote[1037].speaker |
SPEAKER_06 |
transcript.pyannote[1037].start |
7044.12846875 |
transcript.pyannote[1037].end |
7047.28409375 |
transcript.pyannote[1038].speaker |
SPEAKER_06 |
transcript.pyannote[1038].start |
7047.87471875 |
transcript.pyannote[1038].end |
7049.39346875 |
transcript.pyannote[1039].speaker |
SPEAKER_17 |
transcript.pyannote[1039].start |
7047.90846875 |
transcript.pyannote[1039].end |
7048.34721875 |
transcript.pyannote[1040].speaker |
SPEAKER_17 |
transcript.pyannote[1040].start |
7049.39346875 |
transcript.pyannote[1040].end |
7050.59159375 |
transcript.pyannote[1041].speaker |
SPEAKER_06 |
transcript.pyannote[1041].start |
7049.41034375 |
transcript.pyannote[1041].end |
7049.42721875 |
transcript.pyannote[1042].speaker |
SPEAKER_06 |
transcript.pyannote[1042].start |
7050.00096875 |
transcript.pyannote[1042].end |
7051.65471875 |
transcript.pyannote[1043].speaker |
SPEAKER_17 |
transcript.pyannote[1043].start |
7052.21159375 |
transcript.pyannote[1043].end |
7055.65409375 |
transcript.pyannote[1044].speaker |
SPEAKER_06 |
transcript.pyannote[1044].start |
7052.31284375 |
transcript.pyannote[1044].end |
7053.15659375 |
transcript.pyannote[1045].speaker |
SPEAKER_06 |
transcript.pyannote[1045].start |
7054.32096875 |
transcript.pyannote[1045].end |
7057.86471875 |
transcript.pyannote[1046].speaker |
SPEAKER_17 |
transcript.pyannote[1046].start |
7056.61596875 |
transcript.pyannote[1046].end |
7061.52659375 |
transcript.pyannote[1047].speaker |
SPEAKER_06 |
transcript.pyannote[1047].start |
7061.23971875 |
transcript.pyannote[1047].end |
7063.53471875 |
transcript.pyannote[1048].speaker |
SPEAKER_13 |
transcript.pyannote[1048].start |
7061.52659375 |
transcript.pyannote[1048].end |
7062.35346875 |
transcript.pyannote[1049].speaker |
SPEAKER_17 |
transcript.pyannote[1049].start |
7062.35346875 |
transcript.pyannote[1049].end |
7062.40409375 |
transcript.pyannote[1050].speaker |
SPEAKER_17 |
transcript.pyannote[1050].start |
7063.53471875 |
transcript.pyannote[1050].end |
7067.90534375 |
transcript.pyannote[1051].speaker |
SPEAKER_06 |
transcript.pyannote[1051].start |
7067.31471875 |
transcript.pyannote[1051].end |
7068.68159375 |
transcript.pyannote[1052].speaker |
SPEAKER_17 |
transcript.pyannote[1052].start |
7067.95596875 |
transcript.pyannote[1052].end |
7067.97284375 |
transcript.pyannote[1053].speaker |
SPEAKER_17 |
transcript.pyannote[1053].start |
7069.15409375 |
transcript.pyannote[1053].end |
7072.12409375 |
transcript.pyannote[1054].speaker |
SPEAKER_17 |
transcript.pyannote[1054].start |
7072.44471875 |
transcript.pyannote[1054].end |
7077.81096875 |
transcript.pyannote[1055].speaker |
SPEAKER_06 |
transcript.pyannote[1055].start |
7077.06846875 |
transcript.pyannote[1055].end |
7078.94159375 |
transcript.pyannote[1056].speaker |
SPEAKER_06 |
transcript.pyannote[1056].start |
7079.97096875 |
transcript.pyannote[1056].end |
7083.85221875 |
transcript.pyannote[1057].speaker |
SPEAKER_17 |
transcript.pyannote[1057].start |
7083.07596875 |
transcript.pyannote[1057].end |
7083.86909375 |
transcript.pyannote[1058].speaker |
SPEAKER_17 |
transcript.pyannote[1058].start |
7084.37534375 |
transcript.pyannote[1058].end |
7086.23159375 |
transcript.pyannote[1059].speaker |
SPEAKER_06 |
transcript.pyannote[1059].start |
7085.91096875 |
transcript.pyannote[1059].end |
7087.34534375 |
transcript.pyannote[1060].speaker |
SPEAKER_17 |
transcript.pyannote[1060].start |
7089.20159375 |
transcript.pyannote[1060].end |
7098.46596875 |
transcript.pyannote[1061].speaker |
SPEAKER_06 |
transcript.pyannote[1061].start |
7091.88471875 |
transcript.pyannote[1061].end |
7091.96909375 |
transcript.pyannote[1062].speaker |
SPEAKER_06 |
transcript.pyannote[1062].start |
7098.01034375 |
transcript.pyannote[1062].end |
7099.39409375 |
transcript.pyannote[1063].speaker |
SPEAKER_17 |
transcript.pyannote[1063].start |
7100.23784375 |
transcript.pyannote[1063].end |
7100.50784375 |
transcript.pyannote[1064].speaker |
SPEAKER_06 |
transcript.pyannote[1064].start |
7100.50784375 |
transcript.pyannote[1064].end |
7103.22471875 |
transcript.pyannote[1065].speaker |
SPEAKER_17 |
transcript.pyannote[1065].start |
7103.22471875 |
transcript.pyannote[1065].end |
7106.09346875 |
transcript.pyannote[1066].speaker |
SPEAKER_06 |
transcript.pyannote[1066].start |
7103.25846875 |
transcript.pyannote[1066].end |
7103.93346875 |
transcript.pyannote[1067].speaker |
SPEAKER_06 |
transcript.pyannote[1067].start |
7106.51534375 |
transcript.pyannote[1067].end |
7107.30846875 |
transcript.pyannote[1068].speaker |
SPEAKER_17 |
transcript.pyannote[1068].start |
7108.77659375 |
transcript.pyannote[1068].end |
7110.71721875 |
transcript.pyannote[1069].speaker |
SPEAKER_06 |
transcript.pyannote[1069].start |
7110.80159375 |
transcript.pyannote[1069].end |
7113.21471875 |
transcript.pyannote[1070].speaker |
SPEAKER_17 |
transcript.pyannote[1070].start |
7111.88159375 |
transcript.pyannote[1070].end |
7116.62346875 |
transcript.pyannote[1071].speaker |
SPEAKER_06 |
transcript.pyannote[1071].start |
7115.52659375 |
transcript.pyannote[1071].end |
7118.58096875 |
transcript.pyannote[1072].speaker |
SPEAKER_06 |
transcript.pyannote[1072].start |
7119.10409375 |
transcript.pyannote[1072].end |
7120.69034375 |
transcript.pyannote[1073].speaker |
SPEAKER_17 |
transcript.pyannote[1073].start |
7119.50909375 |
transcript.pyannote[1073].end |
7122.96846875 |
transcript.pyannote[1074].speaker |
SPEAKER_06 |
transcript.pyannote[1074].start |
7121.55096875 |
transcript.pyannote[1074].end |
7122.07409375 |
transcript.pyannote[1075].speaker |
SPEAKER_06 |
transcript.pyannote[1075].start |
7122.22596875 |
transcript.pyannote[1075].end |
7123.62659375 |
transcript.pyannote[1076].speaker |
SPEAKER_17 |
transcript.pyannote[1076].start |
7123.49159375 |
transcript.pyannote[1076].end |
7123.87971875 |
transcript.pyannote[1077].speaker |
SPEAKER_06 |
transcript.pyannote[1077].start |
7124.53784375 |
transcript.pyannote[1077].end |
7126.79909375 |
transcript.pyannote[1078].speaker |
SPEAKER_17 |
transcript.pyannote[1078].start |
7126.90034375 |
transcript.pyannote[1078].end |
7127.25471875 |
transcript.pyannote[1079].speaker |
SPEAKER_06 |
transcript.pyannote[1079].start |
7127.64284375 |
transcript.pyannote[1079].end |
7128.90846875 |
transcript.pyannote[1080].speaker |
SPEAKER_06 |
transcript.pyannote[1080].start |
7129.48221875 |
transcript.pyannote[1080].end |
7130.76471875 |
transcript.pyannote[1081].speaker |
SPEAKER_06 |
transcript.pyannote[1081].start |
7130.91659375 |
transcript.pyannote[1081].end |
7133.12721875 |
transcript.pyannote[1082].speaker |
SPEAKER_06 |
transcript.pyannote[1082].start |
7134.08909375 |
transcript.pyannote[1082].end |
7135.40534375 |
transcript.pyannote[1083].speaker |
SPEAKER_06 |
transcript.pyannote[1083].start |
7135.79346875 |
transcript.pyannote[1083].end |
7139.06721875 |
transcript.pyannote[1084].speaker |
SPEAKER_06 |
transcript.pyannote[1084].start |
7139.80971875 |
transcript.pyannote[1084].end |
7142.45909375 |
transcript.pyannote[1085].speaker |
SPEAKER_06 |
transcript.pyannote[1085].start |
7145.12534375 |
transcript.pyannote[1085].end |
7146.05346875 |
transcript.pyannote[1086].speaker |
SPEAKER_17 |
transcript.pyannote[1086].start |
7146.22221875 |
transcript.pyannote[1086].end |
7146.52596875 |
transcript.pyannote[1087].speaker |
SPEAKER_06 |
transcript.pyannote[1087].start |
7146.91409375 |
transcript.pyannote[1087].end |
7149.47909375 |
transcript.pyannote[1088].speaker |
SPEAKER_06 |
transcript.pyannote[1088].start |
7149.61409375 |
transcript.pyannote[1088].end |
7153.25909375 |
transcript.pyannote[1089].speaker |
SPEAKER_06 |
transcript.pyannote[1089].start |
7153.81596875 |
transcript.pyannote[1089].end |
7155.14909375 |
transcript.pyannote[1090].speaker |
SPEAKER_06 |
transcript.pyannote[1090].start |
7155.58784375 |
transcript.pyannote[1090].end |
7156.73534375 |
transcript.pyannote[1091].speaker |
SPEAKER_06 |
transcript.pyannote[1091].start |
7157.32596875 |
transcript.pyannote[1091].end |
7160.80221875 |
transcript.pyannote[1092].speaker |
SPEAKER_06 |
transcript.pyannote[1092].start |
7161.84846875 |
transcript.pyannote[1092].end |
7164.91971875 |
transcript.pyannote[1093].speaker |
SPEAKER_06 |
transcript.pyannote[1093].start |
7166.33721875 |
transcript.pyannote[1093].end |
7169.37471875 |
transcript.pyannote[1094].speaker |
SPEAKER_06 |
transcript.pyannote[1094].start |
7170.91034375 |
transcript.pyannote[1094].end |
7171.77096875 |
transcript.pyannote[1095].speaker |
SPEAKER_06 |
transcript.pyannote[1095].start |
7172.00721875 |
transcript.pyannote[1095].end |
7172.98596875 |
transcript.pyannote[1096].speaker |
SPEAKER_06 |
transcript.pyannote[1096].start |
7174.23471875 |
transcript.pyannote[1096].end |
7176.19221875 |
transcript.pyannote[1097].speaker |
SPEAKER_06 |
transcript.pyannote[1097].start |
7176.74909375 |
transcript.pyannote[1097].end |
7177.64346875 |
transcript.pyannote[1098].speaker |
SPEAKER_06 |
transcript.pyannote[1098].start |
7178.25096875 |
transcript.pyannote[1098].end |
7179.95534375 |
transcript.pyannote[1099].speaker |
SPEAKER_17 |
transcript.pyannote[1099].start |
7180.57971875 |
transcript.pyannote[1099].end |
7182.50346875 |
transcript.pyannote[1100].speaker |
SPEAKER_06 |
transcript.pyannote[1100].start |
7181.79471875 |
transcript.pyannote[1100].end |
7185.30471875 |
transcript.pyannote[1101].speaker |
SPEAKER_06 |
transcript.pyannote[1101].start |
7186.60409375 |
transcript.pyannote[1101].end |
7189.42221875 |
transcript.pyannote[1102].speaker |
SPEAKER_06 |
transcript.pyannote[1102].start |
7190.14784375 |
transcript.pyannote[1102].end |
7191.64971875 |
transcript.pyannote[1103].speaker |
SPEAKER_06 |
transcript.pyannote[1103].start |
7191.75096875 |
transcript.pyannote[1103].end |
7193.86034375 |
transcript.pyannote[1104].speaker |
SPEAKER_06 |
transcript.pyannote[1104].start |
7194.34971875 |
transcript.pyannote[1104].end |
7194.83909375 |
transcript.pyannote[1105].speaker |
SPEAKER_06 |
transcript.pyannote[1105].start |
7196.07096875 |
transcript.pyannote[1105].end |
7197.62346875 |
transcript.pyannote[1106].speaker |
SPEAKER_06 |
transcript.pyannote[1106].start |
7198.45034375 |
transcript.pyannote[1106].end |
7199.85096875 |
transcript.pyannote[1107].speaker |
SPEAKER_06 |
transcript.pyannote[1107].start |
7200.18846875 |
transcript.pyannote[1107].end |
7201.84221875 |
transcript.pyannote[1108].speaker |
SPEAKER_06 |
transcript.pyannote[1108].start |
7203.58034375 |
transcript.pyannote[1108].end |
7205.35221875 |
transcript.pyannote[1109].speaker |
SPEAKER_06 |
transcript.pyannote[1109].start |
7206.24659375 |
transcript.pyannote[1109].end |
7206.88784375 |
transcript.pyannote[1110].speaker |
SPEAKER_06 |
transcript.pyannote[1110].start |
7207.90034375 |
transcript.pyannote[1110].end |
7210.60034375 |
transcript.pyannote[1111].speaker |
SPEAKER_13 |
transcript.pyannote[1111].start |
7210.60034375 |
transcript.pyannote[1111].end |
7211.27534375 |
transcript.pyannote[1112].speaker |
SPEAKER_06 |
transcript.pyannote[1112].start |
7210.95471875 |
transcript.pyannote[1112].end |
7212.08534375 |
transcript.pyannote[1113].speaker |
SPEAKER_06 |
transcript.pyannote[1113].start |
7212.49034375 |
transcript.pyannote[1113].end |
7214.16096875 |
transcript.pyannote[1114].speaker |
SPEAKER_06 |
transcript.pyannote[1114].start |
7214.39721875 |
transcript.pyannote[1114].end |
7215.03846875 |
transcript.pyannote[1115].speaker |
SPEAKER_06 |
transcript.pyannote[1115].start |
7215.49409375 |
transcript.pyannote[1115].end |
7219.32471875 |
transcript.pyannote[1116].speaker |
SPEAKER_06 |
transcript.pyannote[1116].start |
7219.89846875 |
transcript.pyannote[1116].end |
7221.50159375 |
transcript.pyannote[1117].speaker |
SPEAKER_06 |
transcript.pyannote[1117].start |
7222.34534375 |
transcript.pyannote[1117].end |
7223.29034375 |
transcript.pyannote[1118].speaker |
SPEAKER_06 |
transcript.pyannote[1118].start |
7224.25221875 |
transcript.pyannote[1118].end |
7225.48409375 |
transcript.pyannote[1119].speaker |
SPEAKER_06 |
transcript.pyannote[1119].start |
7226.31096875 |
transcript.pyannote[1119].end |
7227.94784375 |
transcript.pyannote[1120].speaker |
SPEAKER_06 |
transcript.pyannote[1120].start |
7228.25159375 |
transcript.pyannote[1120].end |
7229.63534375 |
transcript.pyannote[1121].speaker |
SPEAKER_06 |
transcript.pyannote[1121].start |
7230.17534375 |
transcript.pyannote[1121].end |
7236.46971875 |
transcript.pyannote[1122].speaker |
SPEAKER_06 |
transcript.pyannote[1122].start |
7237.06034375 |
transcript.pyannote[1122].end |
7239.22034375 |
transcript.pyannote[1123].speaker |
SPEAKER_06 |
transcript.pyannote[1123].start |
7240.14846875 |
transcript.pyannote[1123].end |
7241.44784375 |
transcript.pyannote[1124].speaker |
SPEAKER_06 |
transcript.pyannote[1124].start |
7242.24096875 |
transcript.pyannote[1124].end |
7243.60784375 |
transcript.pyannote[1125].speaker |
SPEAKER_06 |
transcript.pyannote[1125].start |
7243.65846875 |
transcript.pyannote[1125].end |
7244.75534375 |
transcript.pyannote[1126].speaker |
SPEAKER_06 |
transcript.pyannote[1126].start |
7245.05909375 |
transcript.pyannote[1126].end |
7245.66659375 |
transcript.pyannote[1127].speaker |
SPEAKER_06 |
transcript.pyannote[1127].start |
7246.02096875 |
transcript.pyannote[1127].end |
7247.21909375 |
transcript.pyannote[1128].speaker |
SPEAKER_06 |
transcript.pyannote[1128].start |
7247.74221875 |
transcript.pyannote[1128].end |
7248.87284375 |
transcript.pyannote[1129].speaker |
SPEAKER_06 |
transcript.pyannote[1129].start |
7249.04159375 |
transcript.pyannote[1129].end |
7254.94784375 |
transcript.pyannote[1130].speaker |
SPEAKER_06 |
transcript.pyannote[1130].start |
7255.28534375 |
transcript.pyannote[1130].end |
7256.92221875 |
transcript.pyannote[1131].speaker |
SPEAKER_06 |
transcript.pyannote[1131].start |
7257.17534375 |
transcript.pyannote[1131].end |
7262.96346875 |
transcript.pyannote[1132].speaker |
SPEAKER_06 |
transcript.pyannote[1132].start |
7263.23346875 |
transcript.pyannote[1132].end |
7263.84096875 |
transcript.pyannote[1133].speaker |
SPEAKER_17 |
transcript.pyannote[1133].start |
7264.16159375 |
transcript.pyannote[1133].end |
7279.04534375 |
transcript.pyannote[1134].speaker |
SPEAKER_06 |
transcript.pyannote[1134].start |
7278.82596875 |
transcript.pyannote[1134].end |
7283.21346875 |
transcript.pyannote[1135].speaker |
SPEAKER_06 |
transcript.pyannote[1135].start |
7283.29784375 |
transcript.pyannote[1135].end |
7283.88846875 |
transcript.pyannote[1136].speaker |
SPEAKER_17 |
transcript.pyannote[1136].start |
7283.43284375 |
transcript.pyannote[1136].end |
7288.03971875 |
transcript.pyannote[1137].speaker |
SPEAKER_06 |
transcript.pyannote[1137].start |
7285.66034375 |
transcript.pyannote[1137].end |
7291.21221875 |
transcript.pyannote[1138].speaker |
SPEAKER_13 |
transcript.pyannote[1138].start |
7291.31346875 |
transcript.pyannote[1138].end |
7291.60034375 |
transcript.pyannote[1139].speaker |
SPEAKER_06 |
transcript.pyannote[1139].start |
7291.63409375 |
transcript.pyannote[1139].end |
7293.55784375 |
transcript.pyannote[1140].speaker |
SPEAKER_06 |
transcript.pyannote[1140].start |
7294.40159375 |
transcript.pyannote[1140].end |
7300.83096875 |
transcript.pyannote[1141].speaker |
SPEAKER_06 |
transcript.pyannote[1141].start |
7301.48909375 |
transcript.pyannote[1141].end |
7312.28909375 |
transcript.pyannote[1142].speaker |
SPEAKER_17 |
transcript.pyannote[1142].start |
7312.54221875 |
transcript.pyannote[1142].end |
7314.93846875 |
transcript.pyannote[1143].speaker |
SPEAKER_06 |
transcript.pyannote[1143].start |
7312.89659375 |
transcript.pyannote[1143].end |
7313.75721875 |
transcript.pyannote[1144].speaker |
SPEAKER_17 |
transcript.pyannote[1144].start |
7316.92971875 |
transcript.pyannote[1144].end |
7322.34659375 |
transcript.pyannote[1145].speaker |
SPEAKER_17 |
transcript.pyannote[1145].start |
7322.49846875 |
transcript.pyannote[1145].end |
7355.15159375 |
transcript.pyannote[1146].speaker |
SPEAKER_06 |
transcript.pyannote[1146].start |
7332.80909375 |
transcript.pyannote[1146].end |
7333.95659375 |
transcript.pyannote[1147].speaker |
SPEAKER_06 |
transcript.pyannote[1147].start |
7343.60909375 |
transcript.pyannote[1147].end |
7350.52784375 |
transcript.pyannote[1148].speaker |
SPEAKER_06 |
transcript.pyannote[1148].start |
7351.84409375 |
transcript.pyannote[1148].end |
7357.00784375 |
transcript.pyannote[1149].speaker |
SPEAKER_17 |
transcript.pyannote[1149].start |
7356.70409375 |
transcript.pyannote[1149].end |
7359.23534375 |
transcript.pyannote[1150].speaker |
SPEAKER_06 |
transcript.pyannote[1150].start |
7359.11721875 |
transcript.pyannote[1150].end |
7361.37846875 |
transcript.pyannote[1151].speaker |
SPEAKER_06 |
transcript.pyannote[1151].start |
7362.28971875 |
transcript.pyannote[1151].end |
7365.58034375 |
transcript.pyannote[1152].speaker |
SPEAKER_06 |
transcript.pyannote[1152].start |
7366.20471875 |
transcript.pyannote[1152].end |
7367.30159375 |
transcript.pyannote[1153].speaker |
SPEAKER_06 |
transcript.pyannote[1153].start |
7367.92596875 |
transcript.pyannote[1153].end |
7372.58346875 |
transcript.pyannote[1154].speaker |
SPEAKER_06 |
transcript.pyannote[1154].start |
7373.59596875 |
transcript.pyannote[1154].end |
7375.62096875 |
transcript.pyannote[1155].speaker |
SPEAKER_06 |
transcript.pyannote[1155].start |
7376.21159375 |
transcript.pyannote[1155].end |
7377.59534375 |
transcript.pyannote[1156].speaker |
SPEAKER_06 |
transcript.pyannote[1156].start |
7378.38846875 |
transcript.pyannote[1156].end |
7379.21534375 |
transcript.pyannote[1157].speaker |
SPEAKER_06 |
transcript.pyannote[1157].start |
7379.97471875 |
transcript.pyannote[1157].end |
7384.10909375 |
transcript.pyannote[1158].speaker |
SPEAKER_06 |
transcript.pyannote[1158].start |
7384.96971875 |
transcript.pyannote[1158].end |
7388.46284375 |
transcript.pyannote[1159].speaker |
SPEAKER_06 |
transcript.pyannote[1159].start |
7389.12096875 |
transcript.pyannote[1159].end |
7391.38221875 |
transcript.pyannote[1160].speaker |
SPEAKER_06 |
transcript.pyannote[1160].start |
7391.60159375 |
transcript.pyannote[1160].end |
7396.15784375 |
transcript.pyannote[1161].speaker |
SPEAKER_06 |
transcript.pyannote[1161].start |
7396.47846875 |
transcript.pyannote[1161].end |
7399.78596875 |
transcript.pyannote[1162].speaker |
SPEAKER_06 |
transcript.pyannote[1162].start |
7400.20784375 |
transcript.pyannote[1162].end |
7403.34659375 |
transcript.pyannote[1163].speaker |
SPEAKER_17 |
transcript.pyannote[1163].start |
7404.00471875 |
transcript.pyannote[1163].end |
7406.04659375 |
transcript.pyannote[1164].speaker |
SPEAKER_06 |
transcript.pyannote[1164].start |
7405.35471875 |
transcript.pyannote[1164].end |
7407.51471875 |
transcript.pyannote[1165].speaker |
SPEAKER_06 |
transcript.pyannote[1165].start |
7408.30784375 |
transcript.pyannote[1165].end |
7412.10471875 |
transcript.pyannote[1166].speaker |
SPEAKER_06 |
transcript.pyannote[1166].start |
7412.91471875 |
transcript.pyannote[1166].end |
7417.15034375 |
transcript.pyannote[1167].speaker |
SPEAKER_06 |
transcript.pyannote[1167].start |
7417.50471875 |
transcript.pyannote[1167].end |
7419.78284375 |
transcript.pyannote[1168].speaker |
SPEAKER_06 |
transcript.pyannote[1168].start |
7420.50846875 |
transcript.pyannote[1168].end |
7422.55034375 |
transcript.pyannote[1169].speaker |
SPEAKER_06 |
transcript.pyannote[1169].start |
7423.29284375 |
transcript.pyannote[1169].end |
7425.46971875 |
transcript.pyannote[1170].speaker |
SPEAKER_06 |
transcript.pyannote[1170].start |
7426.19534375 |
transcript.pyannote[1170].end |
7428.87846875 |
transcript.pyannote[1171].speaker |
SPEAKER_06 |
transcript.pyannote[1171].start |
7428.94596875 |
transcript.pyannote[1171].end |
7431.10596875 |
transcript.pyannote[1172].speaker |
SPEAKER_06 |
transcript.pyannote[1172].start |
7431.32534375 |
transcript.pyannote[1172].end |
7435.05471875 |
transcript.pyannote[1173].speaker |
SPEAKER_06 |
transcript.pyannote[1173].start |
7435.45971875 |
transcript.pyannote[1173].end |
7437.77159375 |
transcript.pyannote[1174].speaker |
SPEAKER_06 |
transcript.pyannote[1174].start |
7439.27346875 |
transcript.pyannote[1174].end |
7439.93159375 |
transcript.pyannote[1175].speaker |
SPEAKER_06 |
transcript.pyannote[1175].start |
7440.30284375 |
transcript.pyannote[1175].end |
7442.04096875 |
transcript.pyannote[1176].speaker |
SPEAKER_06 |
transcript.pyannote[1176].start |
7443.01971875 |
transcript.pyannote[1176].end |
7447.87971875 |
transcript.pyannote[1177].speaker |
SPEAKER_06 |
transcript.pyannote[1177].start |
7448.01471875 |
transcript.pyannote[1177].end |
7448.74034375 |
transcript.pyannote[1178].speaker |
SPEAKER_06 |
transcript.pyannote[1178].start |
7449.02721875 |
transcript.pyannote[1178].end |
7449.49971875 |
transcript.pyannote[1179].speaker |
SPEAKER_17 |
transcript.pyannote[1179].start |
7450.22534375 |
transcript.pyannote[1179].end |
7462.07159375 |
transcript.pyannote[1180].speaker |
SPEAKER_06 |
transcript.pyannote[1180].start |
7460.92409375 |
transcript.pyannote[1180].end |
7463.26971875 |
transcript.pyannote[1181].speaker |
SPEAKER_17 |
transcript.pyannote[1181].start |
7462.42596875 |
transcript.pyannote[1181].end |
7463.03346875 |
transcript.pyannote[1182].speaker |
SPEAKER_17 |
transcript.pyannote[1182].start |
7463.23596875 |
transcript.pyannote[1182].end |
7467.70784375 |
transcript.pyannote[1183].speaker |
SPEAKER_17 |
transcript.pyannote[1183].start |
7468.92284375 |
transcript.pyannote[1183].end |
7476.36471875 |
transcript.pyannote[1184].speaker |
SPEAKER_17 |
transcript.pyannote[1184].start |
7476.97221875 |
transcript.pyannote[1184].end |
7490.92784375 |
transcript.pyannote[1185].speaker |
SPEAKER_06 |
transcript.pyannote[1185].start |
7490.45534375 |
transcript.pyannote[1185].end |
7493.99909375 |
transcript.pyannote[1186].speaker |
SPEAKER_06 |
transcript.pyannote[1186].start |
7494.37034375 |
transcript.pyannote[1186].end |
7495.48409375 |
transcript.pyannote[1187].speaker |
SPEAKER_06 |
transcript.pyannote[1187].start |
7495.77096875 |
transcript.pyannote[1187].end |
7497.79596875 |
transcript.pyannote[1188].speaker |
SPEAKER_17 |
transcript.pyannote[1188].start |
7496.93534375 |
transcript.pyannote[1188].end |
7497.55971875 |
transcript.pyannote[1189].speaker |
SPEAKER_06 |
transcript.pyannote[1189].start |
7497.94784375 |
transcript.pyannote[1189].end |
7505.99721875 |
transcript.pyannote[1190].speaker |
SPEAKER_17 |
transcript.pyannote[1190].start |
7505.99721875 |
transcript.pyannote[1190].end |
7506.33471875 |
transcript.pyannote[1191].speaker |
SPEAKER_20 |
transcript.pyannote[1191].start |
7506.33471875 |
transcript.pyannote[1191].end |
7506.35159375 |
transcript.pyannote[1192].speaker |
SPEAKER_06 |
transcript.pyannote[1192].start |
7506.82409375 |
transcript.pyannote[1192].end |
7509.37221875 |
transcript.pyannote[1193].speaker |
SPEAKER_06 |
transcript.pyannote[1193].start |
7509.67596875 |
transcript.pyannote[1193].end |
7512.05534375 |
transcript.pyannote[1194].speaker |
SPEAKER_06 |
transcript.pyannote[1194].start |
7513.25346875 |
transcript.pyannote[1194].end |
7517.96159375 |
transcript.pyannote[1195].speaker |
SPEAKER_17 |
transcript.pyannote[1195].start |
7515.26159375 |
transcript.pyannote[1195].end |
7520.96534375 |
transcript.pyannote[1196].speaker |
SPEAKER_06 |
transcript.pyannote[1196].start |
7518.94034375 |
transcript.pyannote[1196].end |
7521.89346875 |
transcript.pyannote[1197].speaker |
SPEAKER_03 |
transcript.pyannote[1197].start |
7524.47534375 |
transcript.pyannote[1197].end |
7524.49221875 |
transcript.pyannote[1198].speaker |
SPEAKER_04 |
transcript.pyannote[1198].start |
7524.49221875 |
transcript.pyannote[1198].end |
7525.57221875 |
transcript.pyannote[1199].speaker |
SPEAKER_06 |
transcript.pyannote[1199].start |
7533.79034375 |
transcript.pyannote[1199].end |
7537.35096875 |
transcript.pyannote[1200].speaker |
SPEAKER_04 |
transcript.pyannote[1200].start |
7548.60659375 |
transcript.pyannote[1200].end |
7551.59346875 |
transcript.pyannote[1201].speaker |
SPEAKER_04 |
transcript.pyannote[1201].start |
7552.26846875 |
transcript.pyannote[1201].end |
7552.28534375 |
transcript.pyannote[1202].speaker |
SPEAKER_03 |
transcript.pyannote[1202].start |
7552.28534375 |
transcript.pyannote[1202].end |
7552.99409375 |
transcript.pyannote[1203].speaker |
SPEAKER_04 |
transcript.pyannote[1203].start |
7552.99409375 |
transcript.pyannote[1203].end |
7553.04471875 |
transcript.pyannote[1204].speaker |
SPEAKER_15 |
transcript.pyannote[1204].start |
7559.55846875 |
transcript.pyannote[1204].end |
7560.04784375 |
transcript.pyannote[1205].speaker |
SPEAKER_18 |
transcript.pyannote[1205].start |
7560.04784375 |
transcript.pyannote[1205].end |
7560.06471875 |
transcript.pyannote[1206].speaker |
SPEAKER_18 |
transcript.pyannote[1206].start |
7560.23346875 |
transcript.pyannote[1206].end |
7560.31784375 |
transcript.pyannote[1207].speaker |
SPEAKER_15 |
transcript.pyannote[1207].start |
7560.31784375 |
transcript.pyannote[1207].end |
7560.53721875 |
transcript.pyannote[1208].speaker |
SPEAKER_04 |
transcript.pyannote[1208].start |
7560.31784375 |
transcript.pyannote[1208].end |
7568.56971875 |
transcript.pyannote[1209].speaker |
SPEAKER_06 |
transcript.pyannote[1209].start |
7567.89471875 |
transcript.pyannote[1209].end |
7568.70471875 |
transcript.pyannote[1210].speaker |
SPEAKER_04 |
transcript.pyannote[1210].start |
7568.70471875 |
transcript.pyannote[1210].end |
7601.03721875 |
transcript.pyannote[1211].speaker |
SPEAKER_13 |
transcript.pyannote[1211].start |
7586.13659375 |
transcript.pyannote[1211].end |
7586.45721875 |
transcript.pyannote[1212].speaker |
SPEAKER_17 |
transcript.pyannote[1212].start |
7601.17221875 |
transcript.pyannote[1212].end |
7629.38721875 |
transcript.pyannote[1213].speaker |
SPEAKER_07 |
transcript.pyannote[1213].start |
7614.36846875 |
transcript.pyannote[1213].end |
7614.73971875 |
transcript.pyannote[1214].speaker |
SPEAKER_04 |
transcript.pyannote[1214].start |
7619.24534375 |
transcript.pyannote[1214].end |
7619.61659375 |
transcript.pyannote[1215].speaker |
SPEAKER_04 |
transcript.pyannote[1215].start |
7623.16034375 |
transcript.pyannote[1215].end |
7623.32909375 |
transcript.pyannote[1216].speaker |
SPEAKER_00 |
transcript.pyannote[1216].start |
7624.05471875 |
transcript.pyannote[1216].end |
7624.27409375 |
transcript.pyannote[1217].speaker |
SPEAKER_17 |
transcript.pyannote[1217].start |
7629.84284375 |
transcript.pyannote[1217].end |
7643.12346875 |
transcript.pyannote[1218].speaker |
SPEAKER_04 |
transcript.pyannote[1218].start |
7643.47784375 |
transcript.pyannote[1218].end |
7644.43971875 |
transcript.pyannote[1219].speaker |
SPEAKER_04 |
transcript.pyannote[1219].start |
7644.60846875 |
transcript.pyannote[1219].end |
7665.09471875 |
transcript.pyannote[1220].speaker |
SPEAKER_01 |
transcript.pyannote[1220].start |
7657.45034375 |
transcript.pyannote[1220].end |
7657.88909375 |
transcript.pyannote[1221].speaker |
SPEAKER_17 |
transcript.pyannote[1221].start |
7665.34784375 |
transcript.pyannote[1221].end |
7690.50846875 |
transcript.pyannote[1222].speaker |
SPEAKER_14 |
transcript.pyannote[1222].start |
7671.86159375 |
transcript.pyannote[1222].end |
7672.19909375 |
transcript.pyannote[1223].speaker |
SPEAKER_04 |
transcript.pyannote[1223].start |
7689.49596875 |
transcript.pyannote[1223].end |
7691.82471875 |
transcript.pyannote[1224].speaker |
SPEAKER_17 |
transcript.pyannote[1224].start |
7691.20034375 |
transcript.pyannote[1224].end |
7696.14471875 |
transcript.pyannote[1225].speaker |
SPEAKER_04 |
transcript.pyannote[1225].start |
7694.05221875 |
transcript.pyannote[1225].end |
7695.99284375 |
transcript.pyannote[1226].speaker |
SPEAKER_04 |
transcript.pyannote[1226].start |
7696.34721875 |
transcript.pyannote[1226].end |
7698.97971875 |
transcript.pyannote[1227].speaker |
SPEAKER_17 |
transcript.pyannote[1227].start |
7698.86159375 |
transcript.pyannote[1227].end |
7699.03034375 |
transcript.pyannote[1228].speaker |
SPEAKER_04 |
transcript.pyannote[1228].start |
7699.03034375 |
transcript.pyannote[1228].end |
7699.09784375 |
transcript.pyannote[1229].speaker |
SPEAKER_17 |
transcript.pyannote[1229].start |
7699.09784375 |
transcript.pyannote[1229].end |
7699.19909375 |
transcript.pyannote[1230].speaker |
SPEAKER_04 |
transcript.pyannote[1230].start |
7699.19909375 |
transcript.pyannote[1230].end |
7708.15971875 |
transcript.pyannote[1231].speaker |
SPEAKER_04 |
transcript.pyannote[1231].start |
7709.67846875 |
transcript.pyannote[1231].end |
7710.50534375 |
transcript.pyannote[1232].speaker |
SPEAKER_04 |
transcript.pyannote[1232].start |
7710.53909375 |
transcript.pyannote[1232].end |
7717.25534375 |
transcript.pyannote[1233].speaker |
SPEAKER_14 |
transcript.pyannote[1233].start |
7717.25534375 |
transcript.pyannote[1233].end |
7717.54221875 |
transcript.pyannote[1234].speaker |
SPEAKER_04 |
transcript.pyannote[1234].start |
7717.54221875 |
transcript.pyannote[1234].end |
7721.71034375 |
transcript.pyannote[1235].speaker |
SPEAKER_14 |
transcript.pyannote[1235].start |
7721.77784375 |
transcript.pyannote[1235].end |
7722.21659375 |
transcript.pyannote[1236].speaker |
SPEAKER_04 |
transcript.pyannote[1236].start |
7722.21659375 |
transcript.pyannote[1236].end |
7726.43534375 |
transcript.pyannote[1237].speaker |
SPEAKER_04 |
transcript.pyannote[1237].start |
7726.92471875 |
transcript.pyannote[1237].end |
7734.02909375 |
transcript.pyannote[1238].speaker |
SPEAKER_04 |
transcript.pyannote[1238].start |
7734.85596875 |
transcript.pyannote[1238].end |
7740.12096875 |
transcript.pyannote[1239].speaker |
SPEAKER_13 |
transcript.pyannote[1239].start |
7739.66534375 |
transcript.pyannote[1239].end |
7740.10409375 |
transcript.pyannote[1240].speaker |
SPEAKER_13 |
transcript.pyannote[1240].start |
7740.12096875 |
transcript.pyannote[1240].end |
7740.17159375 |
transcript.pyannote[1241].speaker |
SPEAKER_04 |
transcript.pyannote[1241].start |
7740.17159375 |
transcript.pyannote[1241].end |
7740.22221875 |
transcript.pyannote[1242].speaker |
SPEAKER_04 |
transcript.pyannote[1242].start |
7740.52596875 |
transcript.pyannote[1242].end |
7759.24034375 |
transcript.pyannote[1243].speaker |
SPEAKER_04 |
transcript.pyannote[1243].start |
7759.42596875 |
transcript.pyannote[1243].end |
7762.44659375 |
transcript.pyannote[1244].speaker |
SPEAKER_04 |
transcript.pyannote[1244].start |
7762.93596875 |
transcript.pyannote[1244].end |
7763.40846875 |
transcript.pyannote[1245].speaker |
SPEAKER_17 |
transcript.pyannote[1245].start |
7763.40846875 |
transcript.pyannote[1245].end |
7763.81346875 |
transcript.pyannote[1246].speaker |
SPEAKER_04 |
transcript.pyannote[1246].start |
7764.15096875 |
transcript.pyannote[1246].end |
7765.97346875 |
transcript.pyannote[1247].speaker |
SPEAKER_17 |
transcript.pyannote[1247].start |
7766.29409375 |
transcript.pyannote[1247].end |
7766.73284375 |
transcript.pyannote[1248].speaker |
SPEAKER_17 |
transcript.pyannote[1248].start |
7767.17159375 |
transcript.pyannote[1248].end |
7768.87596875 |
transcript.pyannote[1249].speaker |
SPEAKER_04 |
transcript.pyannote[1249].start |
7767.45846875 |
transcript.pyannote[1249].end |
7770.02346875 |
transcript.pyannote[1250].speaker |
SPEAKER_17 |
transcript.pyannote[1250].start |
7769.75346875 |
transcript.pyannote[1250].end |
7770.15846875 |
transcript.pyannote[1251].speaker |
SPEAKER_17 |
transcript.pyannote[1251].start |
7771.08659375 |
transcript.pyannote[1251].end |
7776.70596875 |
transcript.pyannote[1252].speaker |
SPEAKER_04 |
transcript.pyannote[1252].start |
7775.57534375 |
transcript.pyannote[1252].end |
7775.69346875 |
transcript.pyannote[1253].speaker |
SPEAKER_14 |
transcript.pyannote[1253].start |
7775.69346875 |
transcript.pyannote[1253].end |
7775.79471875 |
transcript.pyannote[1254].speaker |
SPEAKER_04 |
transcript.pyannote[1254].start |
7776.62159375 |
transcript.pyannote[1254].end |
7776.63846875 |
transcript.pyannote[1255].speaker |
SPEAKER_14 |
transcript.pyannote[1255].start |
7776.63846875 |
transcript.pyannote[1255].end |
7777.00971875 |
transcript.pyannote[1256].speaker |
SPEAKER_17 |
transcript.pyannote[1256].start |
7777.22909375 |
transcript.pyannote[1256].end |
7789.07534375 |
transcript.pyannote[1257].speaker |
SPEAKER_14 |
transcript.pyannote[1257].start |
7789.07534375 |
transcript.pyannote[1257].end |
7789.10909375 |
transcript.pyannote[1258].speaker |
SPEAKER_04 |
transcript.pyannote[1258].start |
7789.10909375 |
transcript.pyannote[1258].end |
7789.46346875 |
transcript.pyannote[1259].speaker |
SPEAKER_17 |
transcript.pyannote[1259].start |
7789.36221875 |
transcript.pyannote[1259].end |
7793.61471875 |
transcript.pyannote[1260].speaker |
SPEAKER_04 |
transcript.pyannote[1260].start |
7793.78346875 |
transcript.pyannote[1260].end |
7812.43034375 |
transcript.pyannote[1261].speaker |
SPEAKER_17 |
transcript.pyannote[1261].start |
7794.57659375 |
transcript.pyannote[1261].end |
7795.18409375 |
transcript.pyannote[1262].speaker |
SPEAKER_17 |
transcript.pyannote[1262].start |
7796.58471875 |
transcript.pyannote[1262].end |
7797.66471875 |
transcript.pyannote[1263].speaker |
SPEAKER_17 |
transcript.pyannote[1263].start |
7801.17471875 |
transcript.pyannote[1263].end |
7801.64721875 |
transcript.pyannote[1264].speaker |
SPEAKER_00 |
transcript.pyannote[1264].start |
7801.64721875 |
transcript.pyannote[1264].end |
7801.66409375 |
transcript.pyannote[1265].speaker |
SPEAKER_17 |
transcript.pyannote[1265].start |
7809.39284375 |
transcript.pyannote[1265].end |
7810.21971875 |
transcript.pyannote[1266].speaker |
SPEAKER_04 |
transcript.pyannote[1266].start |
7812.75096875 |
transcript.pyannote[1266].end |
7816.05846875 |
transcript.pyannote[1267].speaker |
SPEAKER_17 |
transcript.pyannote[1267].start |
7815.48471875 |
transcript.pyannote[1267].end |
7820.80034375 |
transcript.pyannote[1268].speaker |
SPEAKER_04 |
transcript.pyannote[1268].start |
7819.51784375 |
transcript.pyannote[1268].end |
7825.54221875 |
transcript.pyannote[1269].speaker |
SPEAKER_17 |
transcript.pyannote[1269].start |
7821.98159375 |
transcript.pyannote[1269].end |
7822.20096875 |
transcript.pyannote[1270].speaker |
SPEAKER_04 |
transcript.pyannote[1270].start |
7825.89659375 |
transcript.pyannote[1270].end |
7826.79096875 |
transcript.pyannote[1271].speaker |
SPEAKER_17 |
transcript.pyannote[1271].start |
7827.70221875 |
transcript.pyannote[1271].end |
7833.96284375 |
transcript.pyannote[1272].speaker |
SPEAKER_14 |
transcript.pyannote[1272].start |
7833.96284375 |
transcript.pyannote[1272].end |
7833.97971875 |
transcript.pyannote[1273].speaker |
SPEAKER_04 |
transcript.pyannote[1273].start |
7833.97971875 |
transcript.pyannote[1273].end |
7834.28346875 |
transcript.pyannote[1274].speaker |
SPEAKER_17 |
transcript.pyannote[1274].start |
7834.28346875 |
transcript.pyannote[1274].end |
7839.76784375 |
transcript.pyannote[1275].speaker |
SPEAKER_14 |
transcript.pyannote[1275].start |
7834.30034375 |
transcript.pyannote[1275].end |
7834.31721875 |
transcript.pyannote[1276].speaker |
SPEAKER_04 |
transcript.pyannote[1276].start |
7834.31721875 |
transcript.pyannote[1276].end |
7834.33409375 |
transcript.pyannote[1277].speaker |
SPEAKER_04 |
transcript.pyannote[1277].start |
7840.24034375 |
transcript.pyannote[1277].end |
7841.70846875 |
transcript.pyannote[1278].speaker |
SPEAKER_17 |
transcript.pyannote[1278].start |
7841.43846875 |
transcript.pyannote[1278].end |
7841.91096875 |
transcript.pyannote[1279].speaker |
SPEAKER_17 |
transcript.pyannote[1279].start |
7841.97846875 |
transcript.pyannote[1279].end |
7842.01221875 |
transcript.pyannote[1280].speaker |
SPEAKER_17 |
transcript.pyannote[1280].start |
7842.19784375 |
transcript.pyannote[1280].end |
7842.21471875 |
transcript.pyannote[1281].speaker |
SPEAKER_04 |
transcript.pyannote[1281].start |
7842.21471875 |
transcript.pyannote[1281].end |
7842.26534375 |
transcript.pyannote[1282].speaker |
SPEAKER_17 |
transcript.pyannote[1282].start |
7842.26534375 |
transcript.pyannote[1282].end |
7844.05409375 |
transcript.pyannote[1283].speaker |
SPEAKER_04 |
transcript.pyannote[1283].start |
7842.29909375 |
transcript.pyannote[1283].end |
7850.29784375 |
transcript.pyannote[1284].speaker |
SPEAKER_17 |
transcript.pyannote[1284].start |
7844.69534375 |
transcript.pyannote[1284].end |
7846.34909375 |
transcript.pyannote[1285].speaker |
SPEAKER_04 |
transcript.pyannote[1285].start |
7851.14159375 |
transcript.pyannote[1285].end |
7854.49971875 |
transcript.pyannote[1286].speaker |
SPEAKER_04 |
transcript.pyannote[1286].start |
7854.87096875 |
transcript.pyannote[1286].end |
7862.56596875 |
transcript.pyannote[1287].speaker |
SPEAKER_17 |
transcript.pyannote[1287].start |
7860.11909375 |
transcript.pyannote[1287].end |
7861.09784375 |
transcript.pyannote[1288].speaker |
SPEAKER_17 |
transcript.pyannote[1288].start |
7862.00909375 |
transcript.pyannote[1288].end |
7864.91159375 |
transcript.pyannote[1289].speaker |
SPEAKER_04 |
transcript.pyannote[1289].start |
7864.91159375 |
transcript.pyannote[1289].end |
7865.78909375 |
transcript.pyannote[1290].speaker |
SPEAKER_04 |
transcript.pyannote[1290].start |
7866.34596875 |
transcript.pyannote[1290].end |
7882.63034375 |
transcript.pyannote[1291].speaker |
SPEAKER_17 |
transcript.pyannote[1291].start |
7868.64096875 |
transcript.pyannote[1291].end |
7869.07971875 |
transcript.pyannote[1292].speaker |
SPEAKER_17 |
transcript.pyannote[1292].start |
7872.53909375 |
transcript.pyannote[1292].end |
7872.55596875 |
transcript.pyannote[1293].speaker |
SPEAKER_13 |
transcript.pyannote[1293].start |
7872.55596875 |
transcript.pyannote[1293].end |
7873.02846875 |
transcript.pyannote[1294].speaker |
SPEAKER_17 |
transcript.pyannote[1294].start |
7873.02846875 |
transcript.pyannote[1294].end |
7873.97346875 |
transcript.pyannote[1295].speaker |
SPEAKER_13 |
transcript.pyannote[1295].start |
7873.97346875 |
transcript.pyannote[1295].end |
7874.15909375 |
transcript.pyannote[1296].speaker |
SPEAKER_13 |
transcript.pyannote[1296].start |
7874.80034375 |
transcript.pyannote[1296].end |
7878.24284375 |
transcript.pyannote[1297].speaker |
SPEAKER_13 |
transcript.pyannote[1297].start |
7878.29346875 |
transcript.pyannote[1297].end |
7878.36096875 |
transcript.pyannote[1298].speaker |
SPEAKER_04 |
transcript.pyannote[1298].start |
7882.96784375 |
transcript.pyannote[1298].end |
7911.80721875 |
transcript.pyannote[1299].speaker |
SPEAKER_04 |
transcript.pyannote[1299].start |
7912.60034375 |
transcript.pyannote[1299].end |
7914.43971875 |
transcript.pyannote[1300].speaker |
SPEAKER_04 |
transcript.pyannote[1300].start |
7914.49034375 |
transcript.pyannote[1300].end |
7916.02596875 |
transcript.pyannote[1301].speaker |
SPEAKER_17 |
transcript.pyannote[1301].start |
7916.02596875 |
transcript.pyannote[1301].end |
7918.74284375 |
transcript.pyannote[1302].speaker |
SPEAKER_17 |
transcript.pyannote[1302].start |
7919.14784375 |
transcript.pyannote[1302].end |
7929.44159375 |
transcript.pyannote[1303].speaker |
SPEAKER_04 |
transcript.pyannote[1303].start |
7927.63596875 |
transcript.pyannote[1303].end |
7927.72034375 |
transcript.pyannote[1304].speaker |
SPEAKER_17 |
transcript.pyannote[1304].start |
7929.59346875 |
transcript.pyannote[1304].end |
7932.95159375 |
transcript.pyannote[1305].speaker |
SPEAKER_04 |
transcript.pyannote[1305].start |
7932.47909375 |
transcript.pyannote[1305].end |
7939.56659375 |
transcript.pyannote[1306].speaker |
SPEAKER_17 |
transcript.pyannote[1306].start |
7935.28034375 |
transcript.pyannote[1306].end |
7936.64721875 |
transcript.pyannote[1307].speaker |
SPEAKER_17 |
transcript.pyannote[1307].start |
7939.56659375 |
transcript.pyannote[1307].end |
7964.67659375 |
transcript.pyannote[1308].speaker |
SPEAKER_17 |
transcript.pyannote[1308].start |
7964.86221875 |
transcript.pyannote[1308].end |
7965.80721875 |
transcript.pyannote[1309].speaker |
SPEAKER_17 |
transcript.pyannote[1309].start |
7965.92534375 |
transcript.pyannote[1309].end |
7966.78596875 |
transcript.pyannote[1310].speaker |
SPEAKER_17 |
transcript.pyannote[1310].start |
7967.12346875 |
transcript.pyannote[1310].end |
7968.06846875 |
transcript.pyannote[1311].speaker |
SPEAKER_14 |
transcript.pyannote[1311].start |
7968.52409375 |
transcript.pyannote[1311].end |
7968.62534375 |
transcript.pyannote[1312].speaker |
SPEAKER_17 |
transcript.pyannote[1312].start |
7968.62534375 |
transcript.pyannote[1312].end |
7970.61659375 |
transcript.pyannote[1313].speaker |
SPEAKER_14 |
transcript.pyannote[1313].start |
7968.67596875 |
transcript.pyannote[1313].end |
7968.81096875 |
transcript.pyannote[1314].speaker |
SPEAKER_17 |
transcript.pyannote[1314].start |
7970.93721875 |
transcript.pyannote[1314].end |
7979.44221875 |
transcript.pyannote[1315].speaker |
SPEAKER_04 |
transcript.pyannote[1315].start |
7978.48034375 |
transcript.pyannote[1315].end |
8010.23909375 |
transcript.pyannote[1316].speaker |
SPEAKER_17 |
transcript.pyannote[1316].start |
7980.21846875 |
transcript.pyannote[1316].end |
7981.43346875 |
transcript.pyannote[1317].speaker |
SPEAKER_17 |
transcript.pyannote[1317].start |
7984.90971875 |
transcript.pyannote[1317].end |
7985.21346875 |
transcript.pyannote[1318].speaker |
SPEAKER_13 |
transcript.pyannote[1318].start |
7985.21346875 |
transcript.pyannote[1318].end |
7985.23034375 |
transcript.pyannote[1319].speaker |
SPEAKER_06 |
transcript.pyannote[1319].start |
7988.48721875 |
transcript.pyannote[1319].end |
7988.82471875 |
transcript.pyannote[1320].speaker |
SPEAKER_13 |
transcript.pyannote[1320].start |
7988.82471875 |
transcript.pyannote[1320].end |
7988.85846875 |
transcript.pyannote[1321].speaker |
SPEAKER_00 |
transcript.pyannote[1321].start |
7994.10659375 |
transcript.pyannote[1321].end |
7994.12346875 |
transcript.pyannote[1322].speaker |
SPEAKER_13 |
transcript.pyannote[1322].start |
7994.12346875 |
transcript.pyannote[1322].end |
7994.96721875 |
transcript.pyannote[1323].speaker |
SPEAKER_00 |
transcript.pyannote[1323].start |
7994.96721875 |
transcript.pyannote[1323].end |
7995.03471875 |
transcript.pyannote[1324].speaker |
SPEAKER_13 |
transcript.pyannote[1324].start |
7996.21596875 |
transcript.pyannote[1324].end |
7996.26659375 |
transcript.pyannote[1325].speaker |
SPEAKER_00 |
transcript.pyannote[1325].start |
8000.08034375 |
transcript.pyannote[1325].end |
8000.09721875 |
transcript.pyannote[1326].speaker |
SPEAKER_13 |
transcript.pyannote[1326].start |
8000.09721875 |
transcript.pyannote[1326].end |
8000.56971875 |
transcript.pyannote[1327].speaker |
SPEAKER_00 |
transcript.pyannote[1327].start |
8000.56971875 |
transcript.pyannote[1327].end |
8000.63721875 |
transcript.pyannote[1328].speaker |
SPEAKER_17 |
transcript.pyannote[1328].start |
8001.37971875 |
transcript.pyannote[1328].end |
8001.88596875 |
transcript.pyannote[1329].speaker |
SPEAKER_17 |
transcript.pyannote[1329].start |
8002.30784375 |
transcript.pyannote[1329].end |
8002.78034375 |
transcript.pyannote[1330].speaker |
SPEAKER_17 |
transcript.pyannote[1330].start |
8009.63159375 |
transcript.pyannote[1330].end |
8014.86284375 |
transcript.pyannote[1331].speaker |
SPEAKER_04 |
transcript.pyannote[1331].start |
8014.77846875 |
transcript.pyannote[1331].end |
8015.03159375 |
transcript.pyannote[1332].speaker |
SPEAKER_17 |
transcript.pyannote[1332].start |
8015.03159375 |
transcript.pyannote[1332].end |
8021.59596875 |
transcript.pyannote[1333].speaker |
SPEAKER_14 |
transcript.pyannote[1333].start |
8015.04846875 |
transcript.pyannote[1333].end |
8015.11596875 |
transcript.pyannote[1334].speaker |
SPEAKER_17 |
transcript.pyannote[1334].start |
8021.61284375 |
transcript.pyannote[1334].end |
8021.66346875 |
transcript.pyannote[1335].speaker |
SPEAKER_04 |
transcript.pyannote[1335].start |
8021.66346875 |
transcript.pyannote[1335].end |
8032.41284375 |
transcript.pyannote[1336].speaker |
SPEAKER_17 |
transcript.pyannote[1336].start |
8021.86596875 |
transcript.pyannote[1336].end |
8022.01784375 |
transcript.pyannote[1337].speaker |
SPEAKER_17 |
transcript.pyannote[1337].start |
8022.03471875 |
transcript.pyannote[1337].end |
8022.05159375 |
transcript.pyannote[1338].speaker |
SPEAKER_17 |
transcript.pyannote[1338].start |
8023.62096875 |
transcript.pyannote[1338].end |
8024.51534375 |
transcript.pyannote[1339].speaker |
SPEAKER_17 |
transcript.pyannote[1339].start |
8032.48034375 |
transcript.pyannote[1339].end |
8036.26034375 |
transcript.pyannote[1340].speaker |
SPEAKER_04 |
transcript.pyannote[1340].start |
8036.31096875 |
transcript.pyannote[1340].end |
8036.61471875 |
transcript.pyannote[1341].speaker |
SPEAKER_17 |
transcript.pyannote[1341].start |
8036.58096875 |
transcript.pyannote[1341].end |
8045.00159375 |
transcript.pyannote[1342].speaker |
SPEAKER_14 |
transcript.pyannote[1342].start |
8036.61471875 |
transcript.pyannote[1342].end |
8036.66534375 |
transcript.pyannote[1343].speaker |
SPEAKER_04 |
transcript.pyannote[1343].start |
8036.66534375 |
transcript.pyannote[1343].end |
8036.68221875 |
transcript.pyannote[1344].speaker |
SPEAKER_04 |
transcript.pyannote[1344].start |
8045.00159375 |
transcript.pyannote[1344].end |
8045.38971875 |
transcript.pyannote[1345].speaker |
SPEAKER_17 |
transcript.pyannote[1345].start |
8045.50784375 |
transcript.pyannote[1345].end |
8048.51159375 |
transcript.pyannote[1346].speaker |
SPEAKER_04 |
transcript.pyannote[1346].start |
8048.25846875 |
transcript.pyannote[1346].end |
8066.60159375 |
transcript.pyannote[1347].speaker |
SPEAKER_17 |
transcript.pyannote[1347].start |
8052.78096875 |
transcript.pyannote[1347].end |
8054.43471875 |
transcript.pyannote[1348].speaker |
SPEAKER_17 |
transcript.pyannote[1348].start |
8057.42159375 |
transcript.pyannote[1348].end |
8057.97846875 |
transcript.pyannote[1349].speaker |
SPEAKER_07 |
transcript.pyannote[1349].start |
8057.97846875 |
transcript.pyannote[1349].end |
8058.06284375 |
transcript.pyannote[1350].speaker |
SPEAKER_17 |
transcript.pyannote[1350].start |
8060.00346875 |
transcript.pyannote[1350].end |
8060.52659375 |
transcript.pyannote[1351].speaker |
SPEAKER_17 |
transcript.pyannote[1351].start |
8064.66096875 |
transcript.pyannote[1351].end |
8064.72846875 |
transcript.pyannote[1352].speaker |
SPEAKER_17 |
transcript.pyannote[1352].start |
8065.42034375 |
transcript.pyannote[1352].end |
8069.62221875 |
transcript.pyannote[1353].speaker |
SPEAKER_04 |
transcript.pyannote[1353].start |
8066.97284375 |
transcript.pyannote[1353].end |
8067.74909375 |
transcript.pyannote[1354].speaker |
SPEAKER_17 |
transcript.pyannote[1354].start |
8069.90909375 |
transcript.pyannote[1354].end |
8074.19534375 |
transcript.pyannote[1355].speaker |
SPEAKER_17 |
transcript.pyannote[1355].start |
8074.53284375 |
transcript.pyannote[1355].end |
8083.35846875 |
transcript.pyannote[1356].speaker |
SPEAKER_14 |
transcript.pyannote[1356].start |
8075.61284375 |
transcript.pyannote[1356].end |
8075.96721875 |
transcript.pyannote[1357].speaker |
SPEAKER_14 |
transcript.pyannote[1357].start |
8078.88659375 |
transcript.pyannote[1357].end |
8079.29159375 |
transcript.pyannote[1358].speaker |
SPEAKER_17 |
transcript.pyannote[1358].start |
8083.57784375 |
transcript.pyannote[1358].end |
8085.21471875 |
transcript.pyannote[1359].speaker |
SPEAKER_14 |
transcript.pyannote[1359].start |
8085.34971875 |
transcript.pyannote[1359].end |
8085.65346875 |
transcript.pyannote[1360].speaker |
SPEAKER_17 |
transcript.pyannote[1360].start |
8086.24409375 |
transcript.pyannote[1360].end |
8093.50034375 |
transcript.pyannote[1361].speaker |
SPEAKER_04 |
transcript.pyannote[1361].start |
8094.37784375 |
transcript.pyannote[1361].end |
8094.85034375 |
transcript.pyannote[1362].speaker |
SPEAKER_04 |
transcript.pyannote[1362].start |
8094.96846875 |
transcript.pyannote[1362].end |
8103.20346875 |
transcript.pyannote[1363].speaker |
SPEAKER_17 |
transcript.pyannote[1363].start |
8098.64721875 |
transcript.pyannote[1363].end |
8099.59221875 |
transcript.pyannote[1364].speaker |
SPEAKER_17 |
transcript.pyannote[1364].start |
8100.67221875 |
transcript.pyannote[1364].end |
8101.06034375 |
transcript.pyannote[1365].speaker |
SPEAKER_17 |
transcript.pyannote[1365].start |
8102.95034375 |
transcript.pyannote[1365].end |
8103.28784375 |
transcript.pyannote[1366].speaker |
SPEAKER_17 |
transcript.pyannote[1366].start |
8103.54096875 |
transcript.pyannote[1366].end |
8110.51034375 |
transcript.pyannote[1367].speaker |
SPEAKER_17 |
transcript.pyannote[1367].start |
8110.81409375 |
transcript.pyannote[1367].end |
8116.01159375 |
transcript.pyannote[1368].speaker |
SPEAKER_17 |
transcript.pyannote[1368].start |
8116.56846875 |
transcript.pyannote[1368].end |
8117.39534375 |
transcript.pyannote[1369].speaker |
SPEAKER_17 |
transcript.pyannote[1369].start |
8117.78346875 |
transcript.pyannote[1369].end |
8119.43721875 |
transcript.pyannote[1370].speaker |
SPEAKER_17 |
transcript.pyannote[1370].start |
8119.69034375 |
transcript.pyannote[1370].end |
8124.44909375 |
transcript.pyannote[1371].speaker |
SPEAKER_17 |
transcript.pyannote[1371].start |
8124.95534375 |
transcript.pyannote[1371].end |
8125.83284375 |
transcript.pyannote[1372].speaker |
SPEAKER_14 |
transcript.pyannote[1372].start |
8125.83284375 |
transcript.pyannote[1372].end |
8126.25471875 |
transcript.pyannote[1373].speaker |
SPEAKER_17 |
transcript.pyannote[1373].start |
8126.33909375 |
transcript.pyannote[1373].end |
8131.13159375 |
transcript.pyannote[1374].speaker |
SPEAKER_17 |
transcript.pyannote[1374].start |
8131.85721875 |
transcript.pyannote[1374].end |
8133.17346875 |
transcript.pyannote[1375].speaker |
SPEAKER_04 |
transcript.pyannote[1375].start |
8133.34221875 |
transcript.pyannote[1375].end |
8169.75846875 |
transcript.pyannote[1376].speaker |
SPEAKER_17 |
transcript.pyannote[1376].start |
8137.05471875 |
transcript.pyannote[1376].end |
8137.96596875 |
transcript.pyannote[1377].speaker |
SPEAKER_14 |
transcript.pyannote[1377].start |
8137.96596875 |
transcript.pyannote[1377].end |
8138.03346875 |
transcript.pyannote[1378].speaker |
SPEAKER_17 |
transcript.pyannote[1378].start |
8138.03346875 |
transcript.pyannote[1378].end |
8138.84346875 |
transcript.pyannote[1379].speaker |
SPEAKER_14 |
transcript.pyannote[1379].start |
8143.92284375 |
transcript.pyannote[1379].end |
8144.29409375 |
transcript.pyannote[1380].speaker |
SPEAKER_17 |
transcript.pyannote[1380].start |
8144.29409375 |
transcript.pyannote[1380].end |
8144.34471875 |
transcript.pyannote[1381].speaker |
SPEAKER_13 |
transcript.pyannote[1381].start |
8151.34784375 |
transcript.pyannote[1381].end |
8152.05659375 |
transcript.pyannote[1382].speaker |
SPEAKER_00 |
transcript.pyannote[1382].start |
8157.10221875 |
transcript.pyannote[1382].end |
8157.72659375 |
transcript.pyannote[1383].speaker |
SPEAKER_00 |
transcript.pyannote[1383].start |
8158.43534375 |
transcript.pyannote[1383].end |
8158.92471875 |
transcript.pyannote[1384].speaker |
SPEAKER_00 |
transcript.pyannote[1384].start |
8159.49846875 |
transcript.pyannote[1384].end |
8160.10596875 |
transcript.pyannote[1385].speaker |
SPEAKER_13 |
transcript.pyannote[1385].start |
8169.65721875 |
transcript.pyannote[1385].end |
8169.69096875 |
transcript.pyannote[1386].speaker |
SPEAKER_17 |
transcript.pyannote[1386].start |
8169.69096875 |
transcript.pyannote[1386].end |
8169.99471875 |
transcript.pyannote[1387].speaker |
SPEAKER_04 |
transcript.pyannote[1387].start |
8169.94409375 |
transcript.pyannote[1387].end |
8174.73659375 |
transcript.pyannote[1388].speaker |
SPEAKER_17 |
transcript.pyannote[1388].start |
8173.90971875 |
transcript.pyannote[1388].end |
8180.10284375 |
transcript.pyannote[1389].speaker |
SPEAKER_14 |
transcript.pyannote[1389].start |
8180.00159375 |
transcript.pyannote[1389].end |
8180.01846875 |
transcript.pyannote[1390].speaker |
SPEAKER_14 |
transcript.pyannote[1390].start |
8180.03534375 |
transcript.pyannote[1390].end |
8180.35596875 |
transcript.pyannote[1391].speaker |
SPEAKER_17 |
transcript.pyannote[1391].start |
8180.18721875 |
transcript.pyannote[1391].end |
8181.75659375 |
transcript.pyannote[1392].speaker |
SPEAKER_17 |
transcript.pyannote[1392].start |
8182.21221875 |
transcript.pyannote[1392].end |
8187.07221875 |
transcript.pyannote[1393].speaker |
SPEAKER_17 |
transcript.pyannote[1393].start |
8187.69659375 |
transcript.pyannote[1393].end |
8191.62846875 |
transcript.pyannote[1394].speaker |
SPEAKER_17 |
transcript.pyannote[1394].start |
8191.86471875 |
transcript.pyannote[1394].end |
8210.25846875 |
transcript.pyannote[1395].speaker |
SPEAKER_00 |
transcript.pyannote[1395].start |
8201.75346875 |
transcript.pyannote[1395].end |
8201.77034375 |
transcript.pyannote[1396].speaker |
SPEAKER_03 |
transcript.pyannote[1396].start |
8209.60034375 |
transcript.pyannote[1396].end |
8209.88721875 |
transcript.pyannote[1397].speaker |
SPEAKER_17 |
transcript.pyannote[1397].start |
8210.83221875 |
transcript.pyannote[1397].end |
8225.58096875 |
transcript.pyannote[1398].speaker |
SPEAKER_04 |
transcript.pyannote[1398].start |
8224.85534375 |
transcript.pyannote[1398].end |
8227.96034375 |
transcript.pyannote[1399].speaker |
SPEAKER_17 |
transcript.pyannote[1399].start |
8227.63971875 |
transcript.pyannote[1399].end |
8250.97784375 |
transcript.pyannote[1400].speaker |
SPEAKER_00 |
transcript.pyannote[1400].start |
8239.43534375 |
transcript.pyannote[1400].end |
8239.78971875 |
transcript.pyannote[1401].speaker |
SPEAKER_04 |
transcript.pyannote[1401].start |
8251.41659375 |
transcript.pyannote[1401].end |
8251.78784375 |
transcript.pyannote[1402].speaker |
SPEAKER_17 |
transcript.pyannote[1402].start |
8251.90596875 |
transcript.pyannote[1402].end |
8252.26034375 |
transcript.pyannote[1403].speaker |
SPEAKER_04 |
transcript.pyannote[1403].start |
8252.42909375 |
transcript.pyannote[1403].end |
8253.07034375 |
transcript.pyannote[1404].speaker |
SPEAKER_04 |
transcript.pyannote[1404].start |
8253.25596875 |
transcript.pyannote[1404].end |
8254.97721875 |
transcript.pyannote[1405].speaker |
SPEAKER_17 |
transcript.pyannote[1405].start |
8254.97721875 |
transcript.pyannote[1405].end |
8256.15846875 |
transcript.pyannote[1406].speaker |
SPEAKER_04 |
transcript.pyannote[1406].start |
8255.24721875 |
transcript.pyannote[1406].end |
8256.31034375 |
transcript.pyannote[1407].speaker |
SPEAKER_06 |
transcript.pyannote[1407].start |
8256.15846875 |
transcript.pyannote[1407].end |
8256.24284375 |
transcript.pyannote[1408].speaker |
SPEAKER_06 |
transcript.pyannote[1408].start |
8256.31034375 |
transcript.pyannote[1408].end |
8256.34409375 |
transcript.pyannote[1409].speaker |
SPEAKER_04 |
transcript.pyannote[1409].start |
8257.62659375 |
transcript.pyannote[1409].end |
8257.96409375 |
transcript.pyannote[1410].speaker |
SPEAKER_06 |
transcript.pyannote[1410].start |
8257.96409375 |
transcript.pyannote[1410].end |
8258.52096875 |
transcript.pyannote[1411].speaker |
SPEAKER_06 |
transcript.pyannote[1411].start |
8260.86659375 |
transcript.pyannote[1411].end |
8261.99721875 |
transcript.pyannote[1412].speaker |
SPEAKER_06 |
transcript.pyannote[1412].start |
8262.33471875 |
transcript.pyannote[1412].end |
8264.15721875 |
transcript.pyannote[1413].speaker |
SPEAKER_06 |
transcript.pyannote[1413].start |
8264.66346875 |
transcript.pyannote[1413].end |
8266.03034375 |
transcript.pyannote[1414].speaker |
SPEAKER_06 |
transcript.pyannote[1414].start |
8266.41846875 |
transcript.pyannote[1414].end |
8271.54846875 |
transcript.pyannote[1415].speaker |
SPEAKER_04 |
transcript.pyannote[1415].start |
8279.36159375 |
transcript.pyannote[1415].end |
8282.39909375 |
transcript.pyannote[1416].speaker |
SPEAKER_04 |
transcript.pyannote[1416].start |
8284.98096875 |
transcript.pyannote[1416].end |
8287.73159375 |
transcript.pyannote[1417].speaker |
SPEAKER_15 |
transcript.pyannote[1417].start |
8291.54534375 |
transcript.pyannote[1417].end |
8292.13596875 |
transcript.pyannote[1418].speaker |
SPEAKER_15 |
transcript.pyannote[1418].start |
8292.52409375 |
transcript.pyannote[1418].end |
8293.09784375 |
transcript.pyannote[1419].speaker |
SPEAKER_15 |
transcript.pyannote[1419].start |
8293.23284375 |
transcript.pyannote[1419].end |
8295.03846875 |
transcript.pyannote[1420].speaker |
SPEAKER_03 |
transcript.pyannote[1420].start |
8295.57846875 |
transcript.pyannote[1420].end |
8296.16909375 |
transcript.pyannote[1421].speaker |
SPEAKER_15 |
transcript.pyannote[1421].start |
8305.04534375 |
transcript.pyannote[1421].end |
8305.46721875 |
transcript.pyannote[1422].speaker |
SPEAKER_15 |
transcript.pyannote[1422].start |
8305.97346875 |
transcript.pyannote[1422].end |
8306.78346875 |
transcript.pyannote[1423].speaker |
SPEAKER_15 |
transcript.pyannote[1423].start |
8307.45846875 |
transcript.pyannote[1423].end |
8308.53846875 |
transcript.pyannote[1424].speaker |
SPEAKER_15 |
transcript.pyannote[1424].start |
8309.31471875 |
transcript.pyannote[1424].end |
8310.74909375 |
transcript.pyannote[1425].speaker |
SPEAKER_15 |
transcript.pyannote[1425].start |
8311.79534375 |
transcript.pyannote[1425].end |
8313.85409375 |
transcript.pyannote[1426].speaker |
SPEAKER_15 |
transcript.pyannote[1426].start |
8314.29284375 |
transcript.pyannote[1426].end |
8319.01784375 |
transcript.pyannote[1427].speaker |
SPEAKER_15 |
transcript.pyannote[1427].start |
8319.59159375 |
transcript.pyannote[1427].end |
8321.19471875 |
transcript.pyannote[1428].speaker |
SPEAKER_15 |
transcript.pyannote[1428].start |
8321.86971875 |
transcript.pyannote[1428].end |
8323.11846875 |
transcript.pyannote[1429].speaker |
SPEAKER_15 |
transcript.pyannote[1429].start |
8324.04659375 |
transcript.pyannote[1429].end |
8324.67096875 |
transcript.pyannote[1430].speaker |
SPEAKER_15 |
transcript.pyannote[1430].start |
8325.07596875 |
transcript.pyannote[1430].end |
8327.80971875 |
transcript.pyannote[1431].speaker |
SPEAKER_15 |
transcript.pyannote[1431].start |
8329.26096875 |
transcript.pyannote[1431].end |
8330.61096875 |
transcript.pyannote[1432].speaker |
SPEAKER_15 |
transcript.pyannote[1432].start |
8331.25221875 |
transcript.pyannote[1432].end |
8334.00284375 |
transcript.pyannote[1433].speaker |
SPEAKER_15 |
transcript.pyannote[1433].start |
8334.50909375 |
transcript.pyannote[1433].end |
8335.31909375 |
transcript.pyannote[1434].speaker |
SPEAKER_15 |
transcript.pyannote[1434].start |
8335.90971875 |
transcript.pyannote[1434].end |
8338.98096875 |
transcript.pyannote[1435].speaker |
SPEAKER_15 |
transcript.pyannote[1435].start |
8339.08221875 |
transcript.pyannote[1435].end |
8341.46159375 |
transcript.pyannote[1436].speaker |
SPEAKER_15 |
transcript.pyannote[1436].start |
8342.76096875 |
transcript.pyannote[1436].end |
8343.41909375 |
transcript.pyannote[1437].speaker |
SPEAKER_15 |
transcript.pyannote[1437].start |
8344.16159375 |
transcript.pyannote[1437].end |
8346.38909375 |
transcript.pyannote[1438].speaker |
SPEAKER_15 |
transcript.pyannote[1438].start |
8347.01346875 |
transcript.pyannote[1438].end |
8349.56159375 |
transcript.pyannote[1439].speaker |
SPEAKER_15 |
transcript.pyannote[1439].start |
8350.05096875 |
transcript.pyannote[1439].end |
8353.00409375 |
transcript.pyannote[1440].speaker |
SPEAKER_17 |
transcript.pyannote[1440].start |
8353.71284375 |
transcript.pyannote[1440].end |
8362.26846875 |
transcript.pyannote[1441].speaker |
SPEAKER_15 |
transcript.pyannote[1441].start |
8362.09971875 |
transcript.pyannote[1441].end |
8380.49346875 |
transcript.pyannote[1442].speaker |
SPEAKER_17 |
transcript.pyannote[1442].start |
8371.48221875 |
transcript.pyannote[1442].end |
8372.14034375 |
transcript.pyannote[1443].speaker |
SPEAKER_17 |
transcript.pyannote[1443].start |
8372.44409375 |
transcript.pyannote[1443].end |
8374.46909375 |
transcript.pyannote[1444].speaker |
SPEAKER_17 |
transcript.pyannote[1444].start |
8376.00471875 |
transcript.pyannote[1444].end |
8376.47721875 |
transcript.pyannote[1445].speaker |
SPEAKER_17 |
transcript.pyannote[1445].start |
8377.35471875 |
transcript.pyannote[1445].end |
8378.55284375 |
transcript.pyannote[1446].speaker |
SPEAKER_17 |
transcript.pyannote[1446].start |
8380.49346875 |
transcript.pyannote[1446].end |
8393.58846875 |
transcript.pyannote[1447].speaker |
SPEAKER_15 |
transcript.pyannote[1447].start |
8390.24721875 |
transcript.pyannote[1447].end |
8391.07409375 |
transcript.pyannote[1448].speaker |
SPEAKER_15 |
transcript.pyannote[1448].start |
8392.45784375 |
transcript.pyannote[1448].end |
8401.99221875 |
transcript.pyannote[1449].speaker |
SPEAKER_13 |
transcript.pyannote[1449].start |
8395.10721875 |
transcript.pyannote[1449].end |
8395.14096875 |
transcript.pyannote[1450].speaker |
SPEAKER_17 |
transcript.pyannote[1450].start |
8395.14096875 |
transcript.pyannote[1450].end |
8395.54596875 |
transcript.pyannote[1451].speaker |
SPEAKER_13 |
transcript.pyannote[1451].start |
8395.54596875 |
transcript.pyannote[1451].end |
8395.59659375 |
transcript.pyannote[1452].speaker |
SPEAKER_13 |
transcript.pyannote[1452].start |
8395.93409375 |
transcript.pyannote[1452].end |
8396.00159375 |
transcript.pyannote[1453].speaker |
SPEAKER_17 |
transcript.pyannote[1453].start |
8396.00159375 |
transcript.pyannote[1453].end |
8397.13221875 |
transcript.pyannote[1454].speaker |
SPEAKER_13 |
transcript.pyannote[1454].start |
8397.13221875 |
transcript.pyannote[1454].end |
8397.28409375 |
transcript.pyannote[1455].speaker |
SPEAKER_13 |
transcript.pyannote[1455].start |
8398.24596875 |
transcript.pyannote[1455].end |
8400.35534375 |
transcript.pyannote[1456].speaker |
SPEAKER_13 |
transcript.pyannote[1456].start |
8402.56596875 |
transcript.pyannote[1456].end |
8402.92034375 |
transcript.pyannote[1457].speaker |
SPEAKER_15 |
transcript.pyannote[1457].start |
8402.92034375 |
transcript.pyannote[1457].end |
8405.85659375 |
transcript.pyannote[1458].speaker |
SPEAKER_15 |
transcript.pyannote[1458].start |
8406.26159375 |
transcript.pyannote[1458].end |
8408.18534375 |
transcript.pyannote[1459].speaker |
SPEAKER_15 |
transcript.pyannote[1459].start |
8408.47221875 |
transcript.pyannote[1459].end |
8423.96346875 |
transcript.pyannote[1460].speaker |
SPEAKER_17 |
transcript.pyannote[1460].start |
8420.28471875 |
transcript.pyannote[1460].end |
8431.72596875 |
transcript.pyannote[1461].speaker |
SPEAKER_15 |
transcript.pyannote[1461].start |
8424.31784375 |
transcript.pyannote[1461].end |
8425.49909375 |
transcript.pyannote[1462].speaker |
SPEAKER_15 |
transcript.pyannote[1462].start |
8429.48159375 |
transcript.pyannote[1462].end |
8438.89784375 |
transcript.pyannote[1463].speaker |
SPEAKER_17 |
transcript.pyannote[1463].start |
8433.04221875 |
transcript.pyannote[1463].end |
8436.75471875 |
transcript.pyannote[1464].speaker |
SPEAKER_13 |
transcript.pyannote[1464].start |
8438.03721875 |
transcript.pyannote[1464].end |
8438.49284375 |
transcript.pyannote[1465].speaker |
SPEAKER_15 |
transcript.pyannote[1465].start |
8438.94846875 |
transcript.pyannote[1465].end |
8439.26909375 |
transcript.pyannote[1466].speaker |
SPEAKER_15 |
transcript.pyannote[1466].start |
8439.58971875 |
transcript.pyannote[1466].end |
8440.99034375 |
transcript.pyannote[1467].speaker |
SPEAKER_15 |
transcript.pyannote[1467].start |
8442.18846875 |
transcript.pyannote[1467].end |
8442.45846875 |
transcript.pyannote[1468].speaker |
SPEAKER_15 |
transcript.pyannote[1468].start |
8442.89721875 |
transcript.pyannote[1468].end |
8444.39909375 |
transcript.pyannote[1469].speaker |
SPEAKER_15 |
transcript.pyannote[1469].start |
8445.07409375 |
transcript.pyannote[1469].end |
8446.32284375 |
transcript.pyannote[1470].speaker |
SPEAKER_15 |
transcript.pyannote[1470].start |
8446.64346875 |
transcript.pyannote[1470].end |
8446.96409375 |
transcript.pyannote[1471].speaker |
SPEAKER_15 |
transcript.pyannote[1471].start |
8447.38596875 |
transcript.pyannote[1471].end |
8447.82471875 |
transcript.pyannote[1472].speaker |
SPEAKER_15 |
transcript.pyannote[1472].start |
8448.33096875 |
transcript.pyannote[1472].end |
8449.59659375 |
transcript.pyannote[1473].speaker |
SPEAKER_15 |
transcript.pyannote[1473].start |
8449.71471875 |
transcript.pyannote[1473].end |
8451.18284375 |
transcript.pyannote[1474].speaker |
SPEAKER_15 |
transcript.pyannote[1474].start |
8451.95909375 |
transcript.pyannote[1474].end |
8453.08971875 |
transcript.pyannote[1475].speaker |
SPEAKER_15 |
transcript.pyannote[1475].start |
8453.52846875 |
transcript.pyannote[1475].end |
8455.77284375 |
transcript.pyannote[1476].speaker |
SPEAKER_15 |
transcript.pyannote[1476].start |
8456.16096875 |
transcript.pyannote[1476].end |
8458.94534375 |
transcript.pyannote[1477].speaker |
SPEAKER_15 |
transcript.pyannote[1477].start |
8460.09284375 |
transcript.pyannote[1477].end |
8481.25409375 |
transcript.pyannote[1478].speaker |
SPEAKER_15 |
transcript.pyannote[1478].start |
8482.19909375 |
transcript.pyannote[1478].end |
8482.73909375 |
transcript.pyannote[1479].speaker |
SPEAKER_15 |
transcript.pyannote[1479].start |
8483.66721875 |
transcript.pyannote[1479].end |
8484.78096875 |
transcript.pyannote[1480].speaker |
SPEAKER_15 |
transcript.pyannote[1480].start |
8485.28721875 |
transcript.pyannote[1480].end |
8487.00846875 |
transcript.pyannote[1481].speaker |
SPEAKER_15 |
transcript.pyannote[1481].start |
8487.51471875 |
transcript.pyannote[1481].end |
8488.89846875 |
transcript.pyannote[1482].speaker |
SPEAKER_15 |
transcript.pyannote[1482].start |
8489.42159375 |
transcript.pyannote[1482].end |
8492.12159375 |
transcript.pyannote[1483].speaker |
SPEAKER_15 |
transcript.pyannote[1483].start |
8492.30721875 |
transcript.pyannote[1483].end |
8495.29409375 |
transcript.pyannote[1484].speaker |
SPEAKER_15 |
transcript.pyannote[1484].start |
8496.10409375 |
transcript.pyannote[1484].end |
8499.95159375 |
transcript.pyannote[1485].speaker |
SPEAKER_15 |
transcript.pyannote[1485].start |
8500.33971875 |
transcript.pyannote[1485].end |
8502.11159375 |
transcript.pyannote[1486].speaker |
SPEAKER_15 |
transcript.pyannote[1486].start |
8502.65159375 |
transcript.pyannote[1486].end |
8511.76409375 |
transcript.pyannote[1487].speaker |
SPEAKER_15 |
transcript.pyannote[1487].start |
8512.54034375 |
transcript.pyannote[1487].end |
8512.97909375 |
transcript.pyannote[1488].speaker |
SPEAKER_15 |
transcript.pyannote[1488].start |
8513.19846875 |
transcript.pyannote[1488].end |
8514.05909375 |
transcript.pyannote[1489].speaker |
SPEAKER_15 |
transcript.pyannote[1489].start |
8514.70034375 |
transcript.pyannote[1489].end |
8516.77596875 |
transcript.pyannote[1490].speaker |
SPEAKER_15 |
transcript.pyannote[1490].start |
8517.34971875 |
transcript.pyannote[1490].end |
8518.61534375 |
transcript.pyannote[1491].speaker |
SPEAKER_15 |
transcript.pyannote[1491].start |
8519.77971875 |
transcript.pyannote[1491].end |
8521.78784375 |
transcript.pyannote[1492].speaker |
SPEAKER_15 |
transcript.pyannote[1492].start |
8522.17596875 |
transcript.pyannote[1492].end |
8523.39096875 |
transcript.pyannote[1493].speaker |
SPEAKER_15 |
transcript.pyannote[1493].start |
8523.79596875 |
transcript.pyannote[1493].end |
8529.22971875 |
transcript.pyannote[1494].speaker |
SPEAKER_15 |
transcript.pyannote[1494].start |
8529.58409375 |
transcript.pyannote[1494].end |
8531.47409375 |
transcript.pyannote[1495].speaker |
SPEAKER_15 |
transcript.pyannote[1495].start |
8531.72721875 |
transcript.pyannote[1495].end |
8537.75159375 |
transcript.pyannote[1496].speaker |
SPEAKER_15 |
transcript.pyannote[1496].start |
8538.03846875 |
transcript.pyannote[1496].end |
8542.17284375 |
transcript.pyannote[1497].speaker |
SPEAKER_15 |
transcript.pyannote[1497].start |
8542.98284375 |
transcript.pyannote[1497].end |
8550.84659375 |
transcript.pyannote[1498].speaker |
SPEAKER_15 |
transcript.pyannote[1498].start |
8551.50471875 |
transcript.pyannote[1498].end |
8552.36534375 |
transcript.pyannote[1499].speaker |
SPEAKER_15 |
transcript.pyannote[1499].start |
8553.32721875 |
transcript.pyannote[1499].end |
8553.34409375 |
transcript.pyannote[1500].speaker |
SPEAKER_17 |
transcript.pyannote[1500].start |
8553.34409375 |
transcript.pyannote[1500].end |
8553.47909375 |
transcript.pyannote[1501].speaker |
SPEAKER_15 |
transcript.pyannote[1501].start |
8553.47909375 |
transcript.pyannote[1501].end |
8553.96846875 |
transcript.pyannote[1502].speaker |
SPEAKER_17 |
transcript.pyannote[1502].start |
8553.96846875 |
transcript.pyannote[1502].end |
8554.62659375 |
transcript.pyannote[1503].speaker |
SPEAKER_17 |
transcript.pyannote[1503].start |
8555.04846875 |
transcript.pyannote[1503].end |
8559.38534375 |
transcript.pyannote[1504].speaker |
SPEAKER_15 |
transcript.pyannote[1504].start |
8557.49534375 |
transcript.pyannote[1504].end |
8558.11971875 |
transcript.pyannote[1505].speaker |
SPEAKER_15 |
transcript.pyannote[1505].start |
8558.82846875 |
transcript.pyannote[1505].end |
8572.36221875 |
transcript.pyannote[1506].speaker |
SPEAKER_17 |
transcript.pyannote[1506].start |
8564.05971875 |
transcript.pyannote[1506].end |
8566.05096875 |
transcript.pyannote[1507].speaker |
SPEAKER_15 |
transcript.pyannote[1507].start |
8572.83471875 |
transcript.pyannote[1507].end |
8574.53909375 |
transcript.pyannote[1508].speaker |
SPEAKER_15 |
transcript.pyannote[1508].start |
8575.73721875 |
transcript.pyannote[1508].end |
8591.34659375 |
transcript.pyannote[1509].speaker |
SPEAKER_13 |
transcript.pyannote[1509].start |
8586.25034375 |
transcript.pyannote[1509].end |
8586.31784375 |
transcript.pyannote[1510].speaker |
SPEAKER_17 |
transcript.pyannote[1510].start |
8586.31784375 |
transcript.pyannote[1510].end |
8586.79034375 |
transcript.pyannote[1511].speaker |
SPEAKER_17 |
transcript.pyannote[1511].start |
8587.54971875 |
transcript.pyannote[1511].end |
8587.81971875 |
transcript.pyannote[1512].speaker |
SPEAKER_17 |
transcript.pyannote[1512].start |
8587.90409375 |
transcript.pyannote[1512].end |
8588.17409375 |
transcript.pyannote[1513].speaker |
SPEAKER_15 |
transcript.pyannote[1513].start |
8592.05534375 |
transcript.pyannote[1513].end |
8593.67534375 |
transcript.pyannote[1514].speaker |
SPEAKER_15 |
transcript.pyannote[1514].start |
8594.16471875 |
transcript.pyannote[1514].end |
8596.96596875 |
transcript.pyannote[1515].speaker |
SPEAKER_15 |
transcript.pyannote[1515].start |
8597.38784375 |
transcript.pyannote[1515].end |
8598.83909375 |
transcript.pyannote[1516].speaker |
SPEAKER_15 |
transcript.pyannote[1516].start |
8600.00346875 |
transcript.pyannote[1516].end |
8602.97346875 |
transcript.pyannote[1517].speaker |
SPEAKER_14 |
transcript.pyannote[1517].start |
8603.15909375 |
transcript.pyannote[1517].end |
8603.27721875 |
transcript.pyannote[1518].speaker |
SPEAKER_15 |
transcript.pyannote[1518].start |
8603.68221875 |
transcript.pyannote[1518].end |
8605.65659375 |
transcript.pyannote[1519].speaker |
SPEAKER_14 |
transcript.pyannote[1519].start |
8605.65659375 |
transcript.pyannote[1519].end |
8606.11221875 |
transcript.pyannote[1520].speaker |
SPEAKER_15 |
transcript.pyannote[1520].start |
8606.11221875 |
transcript.pyannote[1520].end |
8607.88409375 |
transcript.pyannote[1521].speaker |
SPEAKER_14 |
transcript.pyannote[1521].start |
8607.88409375 |
transcript.pyannote[1521].end |
8608.12034375 |
transcript.pyannote[1522].speaker |
SPEAKER_15 |
transcript.pyannote[1522].start |
8608.28909375 |
transcript.pyannote[1522].end |
8610.17909375 |
transcript.pyannote[1523].speaker |
SPEAKER_15 |
transcript.pyannote[1523].start |
8610.48284375 |
transcript.pyannote[1523].end |
8610.75284375 |
transcript.pyannote[1524].speaker |
SPEAKER_15 |
transcript.pyannote[1524].start |
8611.34346875 |
transcript.pyannote[1524].end |
8612.42346875 |
transcript.pyannote[1525].speaker |
SPEAKER_15 |
transcript.pyannote[1525].start |
8612.72721875 |
transcript.pyannote[1525].end |
8622.43034375 |
transcript.pyannote[1526].speaker |
SPEAKER_15 |
transcript.pyannote[1526].start |
8623.32471875 |
transcript.pyannote[1526].end |
8624.28659375 |
transcript.pyannote[1527].speaker |
SPEAKER_15 |
transcript.pyannote[1527].start |
8624.79284375 |
transcript.pyannote[1527].end |
8627.29034375 |
transcript.pyannote[1528].speaker |
SPEAKER_17 |
transcript.pyannote[1528].start |
8626.76721875 |
transcript.pyannote[1528].end |
8627.17221875 |
transcript.pyannote[1529].speaker |
SPEAKER_15 |
transcript.pyannote[1529].start |
8627.37471875 |
transcript.pyannote[1529].end |
8627.81346875 |
transcript.pyannote[1530].speaker |
SPEAKER_15 |
transcript.pyannote[1530].start |
8627.99909375 |
transcript.pyannote[1530].end |
8629.45034375 |
transcript.pyannote[1531].speaker |
SPEAKER_17 |
transcript.pyannote[1531].start |
8629.01159375 |
transcript.pyannote[1531].end |
8632.45409375 |
transcript.pyannote[1532].speaker |
SPEAKER_17 |
transcript.pyannote[1532].start |
8632.79159375 |
transcript.pyannote[1532].end |
8633.83784375 |
transcript.pyannote[1533].speaker |
SPEAKER_17 |
transcript.pyannote[1533].start |
8634.07409375 |
transcript.pyannote[1533].end |
8638.54596875 |
transcript.pyannote[1534].speaker |
SPEAKER_15 |
transcript.pyannote[1534].start |
8637.66846875 |
transcript.pyannote[1534].end |
8638.96784375 |
transcript.pyannote[1535].speaker |
SPEAKER_17 |
transcript.pyannote[1535].start |
8638.96784375 |
transcript.pyannote[1535].end |
8642.68034375 |
transcript.pyannote[1536].speaker |
SPEAKER_15 |
transcript.pyannote[1536].start |
8639.28846875 |
transcript.pyannote[1536].end |
8640.45284375 |
transcript.pyannote[1537].speaker |
SPEAKER_15 |
transcript.pyannote[1537].start |
8640.82409375 |
transcript.pyannote[1537].end |
8648.23221875 |
transcript.pyannote[1538].speaker |
SPEAKER_15 |
transcript.pyannote[1538].start |
8648.73846875 |
transcript.pyannote[1538].end |
8649.90284375 |
transcript.pyannote[1539].speaker |
SPEAKER_15 |
transcript.pyannote[1539].start |
8650.56096875 |
transcript.pyannote[1539].end |
8651.96159375 |
transcript.pyannote[1540].speaker |
SPEAKER_15 |
transcript.pyannote[1540].start |
8652.70409375 |
transcript.pyannote[1540].end |
8653.34534375 |
transcript.pyannote[1541].speaker |
SPEAKER_15 |
transcript.pyannote[1541].start |
8653.56471875 |
transcript.pyannote[1541].end |
8654.69534375 |
transcript.pyannote[1542].speaker |
SPEAKER_15 |
transcript.pyannote[1542].start |
8655.42096875 |
transcript.pyannote[1542].end |
8655.79221875 |
transcript.pyannote[1543].speaker |
SPEAKER_15 |
transcript.pyannote[1543].start |
8655.96096875 |
transcript.pyannote[1543].end |
8656.50096875 |
transcript.pyannote[1544].speaker |
SPEAKER_15 |
transcript.pyannote[1544].start |
8657.07471875 |
transcript.pyannote[1544].end |
8658.81284375 |
transcript.pyannote[1545].speaker |
SPEAKER_15 |
transcript.pyannote[1545].start |
8659.45409375 |
transcript.pyannote[1545].end |
8663.47034375 |
transcript.pyannote[1546].speaker |
SPEAKER_15 |
transcript.pyannote[1546].start |
8663.57159375 |
transcript.pyannote[1546].end |
8667.28409375 |
transcript.pyannote[1547].speaker |
SPEAKER_15 |
transcript.pyannote[1547].start |
8667.38534375 |
transcript.pyannote[1547].end |
8668.97159375 |
transcript.pyannote[1548].speaker |
SPEAKER_17 |
transcript.pyannote[1548].start |
8668.97159375 |
transcript.pyannote[1548].end |
8674.16909375 |
transcript.pyannote[1549].speaker |
SPEAKER_15 |
transcript.pyannote[1549].start |
8674.16909375 |
transcript.pyannote[1549].end |
8690.43659375 |
transcript.pyannote[1550].speaker |
SPEAKER_14 |
transcript.pyannote[1550].start |
8682.06659375 |
transcript.pyannote[1550].end |
8682.15096875 |
transcript.pyannote[1551].speaker |
SPEAKER_14 |
transcript.pyannote[1551].start |
8682.21846875 |
transcript.pyannote[1551].end |
8682.38721875 |
transcript.pyannote[1552].speaker |
SPEAKER_17 |
transcript.pyannote[1552].start |
8682.38721875 |
transcript.pyannote[1552].end |
8682.40409375 |
transcript.pyannote[1553].speaker |
SPEAKER_15 |
transcript.pyannote[1553].start |
8691.44909375 |
transcript.pyannote[1553].end |
8706.21471875 |
transcript.pyannote[1554].speaker |
SPEAKER_15 |
transcript.pyannote[1554].start |
8706.29909375 |
transcript.pyannote[1554].end |
8708.96534375 |
transcript.pyannote[1555].speaker |
SPEAKER_17 |
transcript.pyannote[1555].start |
8708.96534375 |
transcript.pyannote[1555].end |
8712.66096875 |
transcript.pyannote[1556].speaker |
SPEAKER_13 |
transcript.pyannote[1556].start |
8710.58534375 |
transcript.pyannote[1556].end |
8710.60221875 |
transcript.pyannote[1557].speaker |
SPEAKER_17 |
transcript.pyannote[1557].start |
8713.13346875 |
transcript.pyannote[1557].end |
8727.29159375 |
transcript.pyannote[1558].speaker |
SPEAKER_15 |
transcript.pyannote[1558].start |
8723.88284375 |
transcript.pyannote[1558].end |
8738.34471875 |
transcript.pyannote[1559].speaker |
SPEAKER_17 |
transcript.pyannote[1559].start |
8727.79784375 |
transcript.pyannote[1559].end |
8728.21971875 |
transcript.pyannote[1560].speaker |
SPEAKER_15 |
transcript.pyannote[1560].start |
8739.23909375 |
transcript.pyannote[1560].end |
8742.31034375 |
transcript.pyannote[1561].speaker |
SPEAKER_15 |
transcript.pyannote[1561].start |
8743.22159375 |
transcript.pyannote[1561].end |
8746.19159375 |
transcript.pyannote[1562].speaker |
SPEAKER_15 |
transcript.pyannote[1562].start |
8746.83284375 |
transcript.pyannote[1562].end |
8749.58346875 |
transcript.pyannote[1563].speaker |
SPEAKER_15 |
transcript.pyannote[1563].start |
8749.83659375 |
transcript.pyannote[1563].end |
8749.90409375 |
transcript.pyannote[1564].speaker |
SPEAKER_14 |
transcript.pyannote[1564].start |
8749.90409375 |
transcript.pyannote[1564].end |
8750.03909375 |
transcript.pyannote[1565].speaker |
SPEAKER_15 |
transcript.pyannote[1565].start |
8750.03909375 |
transcript.pyannote[1565].end |
8751.74346875 |
transcript.pyannote[1566].speaker |
SPEAKER_15 |
transcript.pyannote[1566].start |
8752.35096875 |
transcript.pyannote[1566].end |
8752.97534375 |
transcript.pyannote[1567].speaker |
SPEAKER_15 |
transcript.pyannote[1567].start |
8753.90346875 |
transcript.pyannote[1567].end |
8754.89909375 |
transcript.pyannote[1568].speaker |
SPEAKER_15 |
transcript.pyannote[1568].start |
8755.43909375 |
transcript.pyannote[1568].end |
8760.18096875 |
transcript.pyannote[1569].speaker |
SPEAKER_15 |
transcript.pyannote[1569].start |
8760.55221875 |
transcript.pyannote[1569].end |
8762.02034375 |
transcript.pyannote[1570].speaker |
SPEAKER_15 |
transcript.pyannote[1570].start |
8762.76284375 |
transcript.pyannote[1570].end |
8763.74159375 |
transcript.pyannote[1571].speaker |
SPEAKER_15 |
transcript.pyannote[1571].start |
8763.85971875 |
transcript.pyannote[1571].end |
8765.69909375 |
transcript.pyannote[1572].speaker |
SPEAKER_15 |
transcript.pyannote[1572].start |
8765.96909375 |
transcript.pyannote[1572].end |
8767.60596875 |
transcript.pyannote[1573].speaker |
SPEAKER_15 |
transcript.pyannote[1573].start |
8768.06159375 |
transcript.pyannote[1573].end |
8775.97596875 |
transcript.pyannote[1574].speaker |
SPEAKER_17 |
transcript.pyannote[1574].start |
8775.97596875 |
transcript.pyannote[1574].end |
8793.17159375 |
transcript.pyannote[1575].speaker |
SPEAKER_15 |
transcript.pyannote[1575].start |
8787.43409375 |
transcript.pyannote[1575].end |
8787.58596875 |
transcript.pyannote[1576].speaker |
SPEAKER_15 |
transcript.pyannote[1576].start |
8790.53909375 |
transcript.pyannote[1576].end |
8800.49534375 |
transcript.pyannote[1577].speaker |
SPEAKER_15 |
transcript.pyannote[1577].start |
8801.15346875 |
transcript.pyannote[1577].end |
8803.90409375 |
transcript.pyannote[1578].speaker |
SPEAKER_15 |
transcript.pyannote[1578].start |
8804.61284375 |
transcript.pyannote[1578].end |
8806.57034375 |
transcript.pyannote[1579].speaker |
SPEAKER_15 |
transcript.pyannote[1579].start |
8807.19471875 |
transcript.pyannote[1579].end |
8809.42221875 |
transcript.pyannote[1580].speaker |
SPEAKER_15 |
transcript.pyannote[1580].start |
8809.57409375 |
transcript.pyannote[1580].end |
8821.33596875 |
transcript.pyannote[1581].speaker |
SPEAKER_15 |
transcript.pyannote[1581].start |
8822.33159375 |
transcript.pyannote[1581].end |
8824.69409375 |
transcript.pyannote[1582].speaker |
SPEAKER_15 |
transcript.pyannote[1582].start |
8825.33534375 |
transcript.pyannote[1582].end |
8829.57096875 |
transcript.pyannote[1583].speaker |
SPEAKER_15 |
transcript.pyannote[1583].start |
8829.97596875 |
transcript.pyannote[1583].end |
8831.66346875 |
transcript.pyannote[1584].speaker |
SPEAKER_15 |
transcript.pyannote[1584].start |
8832.06846875 |
transcript.pyannote[1584].end |
8842.75034375 |
transcript.pyannote[1585].speaker |
SPEAKER_15 |
transcript.pyannote[1585].start |
8843.17221875 |
transcript.pyannote[1585].end |
8844.48846875 |
transcript.pyannote[1586].speaker |
SPEAKER_15 |
transcript.pyannote[1586].start |
8845.85534375 |
transcript.pyannote[1586].end |
8858.39346875 |
transcript.pyannote[1587].speaker |
SPEAKER_17 |
transcript.pyannote[1587].start |
8854.27596875 |
transcript.pyannote[1587].end |
8858.32596875 |
transcript.pyannote[1588].speaker |
SPEAKER_15 |
transcript.pyannote[1588].start |
8858.49471875 |
transcript.pyannote[1588].end |
8864.13096875 |
transcript.pyannote[1589].speaker |
SPEAKER_17 |
transcript.pyannote[1589].start |
8859.35534375 |
transcript.pyannote[1589].end |
8862.47721875 |
transcript.pyannote[1590].speaker |
SPEAKER_15 |
transcript.pyannote[1590].start |
8864.45159375 |
transcript.pyannote[1590].end |
8867.15159375 |
transcript.pyannote[1591].speaker |
SPEAKER_15 |
transcript.pyannote[1591].start |
8867.37096875 |
transcript.pyannote[1591].end |
8877.59721875 |
transcript.pyannote[1592].speaker |
SPEAKER_17 |
transcript.pyannote[1592].start |
8867.72534375 |
transcript.pyannote[1592].end |
8868.60284375 |
transcript.pyannote[1593].speaker |
SPEAKER_00 |
transcript.pyannote[1593].start |
8868.60284375 |
transcript.pyannote[1593].end |
8868.63659375 |
transcript.pyannote[1594].speaker |
SPEAKER_15 |
transcript.pyannote[1594].start |
8878.50846875 |
transcript.pyannote[1594].end |
8880.49971875 |
transcript.pyannote[1595].speaker |
SPEAKER_15 |
transcript.pyannote[1595].start |
8881.66409375 |
transcript.pyannote[1595].end |
8890.69221875 |
transcript.pyannote[1596].speaker |
SPEAKER_17 |
transcript.pyannote[1596].start |
8890.01721875 |
transcript.pyannote[1596].end |
8893.07159375 |
transcript.pyannote[1597].speaker |
SPEAKER_15 |
transcript.pyannote[1597].start |
8892.02534375 |
transcript.pyannote[1597].end |
8901.23909375 |
transcript.pyannote[1598].speaker |
SPEAKER_15 |
transcript.pyannote[1598].start |
8901.39096875 |
transcript.pyannote[1598].end |
8903.56784375 |
transcript.pyannote[1599].speaker |
SPEAKER_15 |
transcript.pyannote[1599].start |
8904.12471875 |
transcript.pyannote[1599].end |
8905.03596875 |
transcript.pyannote[1600].speaker |
SPEAKER_15 |
transcript.pyannote[1600].start |
8905.40721875 |
transcript.pyannote[1600].end |
8907.48284375 |
transcript.pyannote[1601].speaker |
SPEAKER_15 |
transcript.pyannote[1601].start |
8908.17471875 |
transcript.pyannote[1601].end |
8911.48221875 |
transcript.pyannote[1602].speaker |
SPEAKER_15 |
transcript.pyannote[1602].start |
8912.00534375 |
transcript.pyannote[1602].end |
8914.77284375 |
transcript.pyannote[1603].speaker |
SPEAKER_15 |
transcript.pyannote[1603].start |
8915.29596875 |
transcript.pyannote[1603].end |
8918.85659375 |
transcript.pyannote[1604].speaker |
SPEAKER_17 |
transcript.pyannote[1604].start |
8918.23221875 |
transcript.pyannote[1604].end |
8926.95659375 |
transcript.pyannote[1605].speaker |
SPEAKER_15 |
transcript.pyannote[1605].start |
8919.00846875 |
transcript.pyannote[1605].end |
8920.32471875 |
transcript.pyannote[1606].speaker |
SPEAKER_15 |
transcript.pyannote[1606].start |
8922.26534375 |
transcript.pyannote[1606].end |
8925.31971875 |
transcript.pyannote[1607].speaker |
SPEAKER_15 |
transcript.pyannote[1607].start |
8926.75409375 |
transcript.pyannote[1607].end |
8929.04909375 |
transcript.pyannote[1608].speaker |
SPEAKER_04 |
transcript.pyannote[1608].start |
8929.36971875 |
transcript.pyannote[1608].end |
8930.87159375 |
transcript.pyannote[1609].speaker |
SPEAKER_04 |
transcript.pyannote[1609].start |
9272.37096875 |
transcript.pyannote[1609].end |
9272.99534375 |
transcript.pyannote[1610].speaker |
SPEAKER_04 |
transcript.pyannote[1610].start |
9273.11346875 |
transcript.pyannote[1610].end |
9275.23971875 |
transcript.pyannote[1611].speaker |
SPEAKER_09 |
transcript.pyannote[1611].start |
9280.03221875 |
transcript.pyannote[1611].end |
9281.65221875 |
transcript.pyannote[1612].speaker |
SPEAKER_03 |
transcript.pyannote[1612].start |
9282.09096875 |
transcript.pyannote[1612].end |
9282.59721875 |
transcript.pyannote[1613].speaker |
SPEAKER_09 |
transcript.pyannote[1613].start |
9288.38534375 |
transcript.pyannote[1613].end |
9327.02909375 |
transcript.pyannote[1614].speaker |
SPEAKER_13 |
transcript.pyannote[1614].start |
9300.60284375 |
transcript.pyannote[1614].end |
9300.88971875 |
transcript.pyannote[1615].speaker |
SPEAKER_17 |
transcript.pyannote[1615].start |
9327.02909375 |
transcript.pyannote[1615].end |
9331.87221875 |
transcript.pyannote[1616].speaker |
SPEAKER_17 |
transcript.pyannote[1616].start |
9332.42909375 |
transcript.pyannote[1616].end |
9349.54034375 |
transcript.pyannote[1617].speaker |
SPEAKER_17 |
transcript.pyannote[1617].start |
9349.77659375 |
transcript.pyannote[1617].end |
9350.31659375 |
transcript.pyannote[1618].speaker |
SPEAKER_17 |
transcript.pyannote[1618].start |
9350.56971875 |
transcript.pyannote[1618].end |
9354.21471875 |
transcript.pyannote[1619].speaker |
SPEAKER_17 |
transcript.pyannote[1619].start |
9354.56909375 |
transcript.pyannote[1619].end |
9360.25596875 |
transcript.pyannote[1620].speaker |
SPEAKER_14 |
transcript.pyannote[1620].start |
9360.40784375 |
transcript.pyannote[1620].end |
9360.74534375 |
transcript.pyannote[1621].speaker |
SPEAKER_17 |
transcript.pyannote[1621].start |
9360.67784375 |
transcript.pyannote[1621].end |
9361.85909375 |
transcript.pyannote[1622].speaker |
SPEAKER_17 |
transcript.pyannote[1622].start |
9362.28096875 |
transcript.pyannote[1622].end |
9365.08221875 |
transcript.pyannote[1623].speaker |
SPEAKER_17 |
transcript.pyannote[1623].start |
9365.28471875 |
transcript.pyannote[1623].end |
9371.15721875 |
transcript.pyannote[1624].speaker |
SPEAKER_17 |
transcript.pyannote[1624].start |
9371.88284375 |
transcript.pyannote[1624].end |
9374.97096875 |
transcript.pyannote[1625].speaker |
SPEAKER_09 |
transcript.pyannote[1625].start |
9374.97096875 |
transcript.pyannote[1625].end |
9375.64596875 |
transcript.pyannote[1626].speaker |
SPEAKER_17 |
transcript.pyannote[1626].start |
9375.64596875 |
transcript.pyannote[1626].end |
9375.96659375 |
transcript.pyannote[1627].speaker |
SPEAKER_09 |
transcript.pyannote[1627].start |
9375.96659375 |
transcript.pyannote[1627].end |
9412.21409375 |
transcript.pyannote[1628].speaker |
SPEAKER_17 |
transcript.pyannote[1628].start |
9376.72596875 |
transcript.pyannote[1628].end |
9380.97846875 |
transcript.pyannote[1629].speaker |
SPEAKER_14 |
transcript.pyannote[1629].start |
9380.97846875 |
transcript.pyannote[1629].end |
9381.51846875 |
transcript.pyannote[1630].speaker |
SPEAKER_00 |
transcript.pyannote[1630].start |
9381.51846875 |
transcript.pyannote[1630].end |
9381.53534375 |
transcript.pyannote[1631].speaker |
SPEAKER_14 |
transcript.pyannote[1631].start |
9383.81346875 |
transcript.pyannote[1631].end |
9385.72034375 |
transcript.pyannote[1632].speaker |
SPEAKER_00 |
transcript.pyannote[1632].start |
9385.72034375 |
transcript.pyannote[1632].end |
9385.78784375 |
transcript.pyannote[1633].speaker |
SPEAKER_00 |
transcript.pyannote[1633].start |
9387.17159375 |
transcript.pyannote[1633].end |
9388.26846875 |
transcript.pyannote[1634].speaker |
SPEAKER_00 |
transcript.pyannote[1634].start |
9388.52159375 |
transcript.pyannote[1634].end |
9390.68159375 |
transcript.pyannote[1635].speaker |
SPEAKER_15 |
transcript.pyannote[1635].start |
9392.16659375 |
transcript.pyannote[1635].end |
9392.21721875 |
transcript.pyannote[1636].speaker |
SPEAKER_00 |
transcript.pyannote[1636].start |
9393.02721875 |
transcript.pyannote[1636].end |
9393.19596875 |
transcript.pyannote[1637].speaker |
SPEAKER_11 |
transcript.pyannote[1637].start |
9397.36409375 |
transcript.pyannote[1637].end |
9397.53284375 |
transcript.pyannote[1638].speaker |
SPEAKER_11 |
transcript.pyannote[1638].start |
9402.56159375 |
transcript.pyannote[1638].end |
9402.89909375 |
transcript.pyannote[1639].speaker |
SPEAKER_14 |
transcript.pyannote[1639].start |
9412.02846875 |
transcript.pyannote[1639].end |
9412.12971875 |
transcript.pyannote[1640].speaker |
SPEAKER_14 |
transcript.pyannote[1640].start |
9412.21409375 |
transcript.pyannote[1640].end |
9412.23096875 |
transcript.pyannote[1641].speaker |
SPEAKER_09 |
transcript.pyannote[1641].start |
9412.23096875 |
transcript.pyannote[1641].end |
9430.10159375 |
transcript.pyannote[1642].speaker |
SPEAKER_14 |
transcript.pyannote[1642].start |
9412.29846875 |
transcript.pyannote[1642].end |
9412.34909375 |
transcript.pyannote[1643].speaker |
SPEAKER_17 |
transcript.pyannote[1643].start |
9428.36346875 |
transcript.pyannote[1643].end |
9429.02159375 |
transcript.pyannote[1644].speaker |
SPEAKER_17 |
transcript.pyannote[1644].start |
9430.10159375 |
transcript.pyannote[1644].end |
9440.36159375 |
transcript.pyannote[1645].speaker |
SPEAKER_17 |
transcript.pyannote[1645].start |
9440.49659375 |
transcript.pyannote[1645].end |
9468.39096875 |
transcript.pyannote[1646].speaker |
SPEAKER_09 |
transcript.pyannote[1646].start |
9461.03346875 |
transcript.pyannote[1646].end |
9461.48909375 |
transcript.pyannote[1647].speaker |
SPEAKER_09 |
transcript.pyannote[1647].start |
9461.55659375 |
transcript.pyannote[1647].end |
9463.39596875 |
transcript.pyannote[1648].speaker |
SPEAKER_09 |
transcript.pyannote[1648].start |
9464.32409375 |
transcript.pyannote[1648].end |
9466.99034375 |
transcript.pyannote[1649].speaker |
SPEAKER_09 |
transcript.pyannote[1649].start |
9467.15909375 |
transcript.pyannote[1649].end |
9488.01659375 |
transcript.pyannote[1650].speaker |
SPEAKER_17 |
transcript.pyannote[1650].start |
9472.91346875 |
transcript.pyannote[1650].end |
9473.43659375 |
transcript.pyannote[1651].speaker |
SPEAKER_00 |
transcript.pyannote[1651].start |
9476.32221875 |
transcript.pyannote[1651].end |
9476.40659375 |
transcript.pyannote[1652].speaker |
SPEAKER_17 |
transcript.pyannote[1652].start |
9476.40659375 |
transcript.pyannote[1652].end |
9476.64284375 |
transcript.pyannote[1653].speaker |
SPEAKER_17 |
transcript.pyannote[1653].start |
9488.06721875 |
transcript.pyannote[1653].end |
9499.33971875 |
transcript.pyannote[1654].speaker |
SPEAKER_09 |
transcript.pyannote[1654].start |
9498.78284375 |
transcript.pyannote[1654].end |
9499.28909375 |
transcript.pyannote[1655].speaker |
SPEAKER_09 |
transcript.pyannote[1655].start |
9499.33971875 |
transcript.pyannote[1655].end |
9501.93846875 |
transcript.pyannote[1656].speaker |
SPEAKER_17 |
transcript.pyannote[1656].start |
9501.93846875 |
transcript.pyannote[1656].end |
9512.41784375 |
transcript.pyannote[1657].speaker |
SPEAKER_09 |
transcript.pyannote[1657].start |
9506.17409375 |
transcript.pyannote[1657].end |
9506.57909375 |
transcript.pyannote[1658].speaker |
SPEAKER_09 |
transcript.pyannote[1658].start |
9506.76471875 |
transcript.pyannote[1658].end |
9508.84034375 |
transcript.pyannote[1659].speaker |
SPEAKER_09 |
transcript.pyannote[1659].start |
9509.83596875 |
transcript.pyannote[1659].end |
9541.07159375 |
transcript.pyannote[1660].speaker |
SPEAKER_17 |
transcript.pyannote[1660].start |
9514.47659375 |
transcript.pyannote[1660].end |
9515.35409375 |
transcript.pyannote[1661].speaker |
SPEAKER_17 |
transcript.pyannote[1661].start |
9541.07159375 |
transcript.pyannote[1661].end |
9551.63534375 |
transcript.pyannote[1662].speaker |
SPEAKER_00 |
transcript.pyannote[1662].start |
9549.42471875 |
transcript.pyannote[1662].end |
9549.59346875 |
transcript.pyannote[1663].speaker |
SPEAKER_14 |
transcript.pyannote[1663].start |
9549.59346875 |
transcript.pyannote[1663].end |
9549.66096875 |
transcript.pyannote[1664].speaker |
SPEAKER_00 |
transcript.pyannote[1664].start |
9549.66096875 |
transcript.pyannote[1664].end |
9549.88034375 |
transcript.pyannote[1665].speaker |
SPEAKER_17 |
transcript.pyannote[1665].start |
9551.88846875 |
transcript.pyannote[1665].end |
9567.91971875 |
transcript.pyannote[1666].speaker |
SPEAKER_09 |
transcript.pyannote[1666].start |
9567.14346875 |
transcript.pyannote[1666].end |
9575.63159375 |
transcript.pyannote[1667].speaker |
SPEAKER_17 |
transcript.pyannote[1667].start |
9574.43346875 |
transcript.pyannote[1667].end |
9575.90159375 |
transcript.pyannote[1668].speaker |
SPEAKER_17 |
transcript.pyannote[1668].start |
9576.71159375 |
transcript.pyannote[1668].end |
9583.83284375 |
transcript.pyannote[1669].speaker |
SPEAKER_17 |
transcript.pyannote[1669].start |
9584.05221875 |
transcript.pyannote[1669].end |
9590.98784375 |
transcript.pyannote[1670].speaker |
SPEAKER_09 |
transcript.pyannote[1670].start |
9590.98784375 |
transcript.pyannote[1670].end |
9604.45409375 |
transcript.pyannote[1671].speaker |
SPEAKER_17 |
transcript.pyannote[1671].start |
9591.98346875 |
transcript.pyannote[1671].end |
9593.31659375 |
transcript.pyannote[1672].speaker |
SPEAKER_17 |
transcript.pyannote[1672].start |
9598.14284375 |
transcript.pyannote[1672].end |
9598.58159375 |
transcript.pyannote[1673].speaker |
SPEAKER_17 |
transcript.pyannote[1673].start |
9599.44221875 |
transcript.pyannote[1673].end |
9599.74596875 |
transcript.pyannote[1674].speaker |
SPEAKER_17 |
transcript.pyannote[1674].start |
9602.93534375 |
transcript.pyannote[1674].end |
9603.54284375 |
transcript.pyannote[1675].speaker |
SPEAKER_17 |
transcript.pyannote[1675].start |
9604.26846875 |
transcript.pyannote[1675].end |
9611.52471875 |
transcript.pyannote[1676].speaker |
SPEAKER_17 |
transcript.pyannote[1676].start |
9611.79471875 |
transcript.pyannote[1676].end |
9621.19409375 |
transcript.pyannote[1677].speaker |
SPEAKER_09 |
transcript.pyannote[1677].start |
9620.13096875 |
transcript.pyannote[1677].end |
9633.49596875 |
transcript.pyannote[1678].speaker |
SPEAKER_17 |
transcript.pyannote[1678].start |
9622.30784375 |
transcript.pyannote[1678].end |
9622.49346875 |
transcript.pyannote[1679].speaker |
SPEAKER_17 |
transcript.pyannote[1679].start |
9622.94909375 |
transcript.pyannote[1679].end |
9623.57346875 |
transcript.pyannote[1680].speaker |
SPEAKER_17 |
transcript.pyannote[1680].start |
9624.18096875 |
transcript.pyannote[1680].end |
9624.36659375 |
transcript.pyannote[1681].speaker |
SPEAKER_17 |
transcript.pyannote[1681].start |
9632.82096875 |
transcript.pyannote[1681].end |
9648.78471875 |
transcript.pyannote[1682].speaker |
SPEAKER_17 |
transcript.pyannote[1682].start |
9648.86909375 |
transcript.pyannote[1682].end |
9661.96409375 |
transcript.pyannote[1683].speaker |
SPEAKER_09 |
transcript.pyannote[1683].start |
9661.96409375 |
transcript.pyannote[1683].end |
9706.96971875 |
transcript.pyannote[1684].speaker |
SPEAKER_00 |
transcript.pyannote[1684].start |
9666.65534375 |
transcript.pyannote[1684].end |
9666.70596875 |
transcript.pyannote[1685].speaker |
SPEAKER_15 |
transcript.pyannote[1685].start |
9666.70596875 |
transcript.pyannote[1685].end |
9666.97596875 |
transcript.pyannote[1686].speaker |
SPEAKER_00 |
transcript.pyannote[1686].start |
9666.97596875 |
transcript.pyannote[1686].end |
9666.99284375 |
transcript.pyannote[1687].speaker |
SPEAKER_17 |
transcript.pyannote[1687].start |
9676.12221875 |
transcript.pyannote[1687].end |
9678.01221875 |
transcript.pyannote[1688].speaker |
SPEAKER_00 |
transcript.pyannote[1688].start |
9679.14284375 |
transcript.pyannote[1688].end |
9679.19346875 |
transcript.pyannote[1689].speaker |
SPEAKER_17 |
transcript.pyannote[1689].start |
9679.19346875 |
transcript.pyannote[1689].end |
9679.31159375 |
transcript.pyannote[1690].speaker |
SPEAKER_00 |
transcript.pyannote[1690].start |
9679.31159375 |
transcript.pyannote[1690].end |
9679.32846875 |
transcript.pyannote[1691].speaker |
SPEAKER_00 |
transcript.pyannote[1691].start |
9685.70721875 |
transcript.pyannote[1691].end |
9686.21346875 |
transcript.pyannote[1692].speaker |
SPEAKER_00 |
transcript.pyannote[1692].start |
9686.28096875 |
transcript.pyannote[1692].end |
9686.71971875 |
transcript.pyannote[1693].speaker |
SPEAKER_00 |
transcript.pyannote[1693].start |
9688.93034375 |
transcript.pyannote[1693].end |
9689.09909375 |
transcript.pyannote[1694].speaker |
SPEAKER_00 |
transcript.pyannote[1694].start |
9691.10721875 |
transcript.pyannote[1694].end |
9691.57971875 |
transcript.pyannote[1695].speaker |
SPEAKER_17 |
transcript.pyannote[1695].start |
9700.99596875 |
transcript.pyannote[1695].end |
9701.16471875 |
transcript.pyannote[1696].speaker |
SPEAKER_13 |
transcript.pyannote[1696].start |
9701.16471875 |
transcript.pyannote[1696].end |
9701.46846875 |
transcript.pyannote[1697].speaker |
SPEAKER_17 |
transcript.pyannote[1697].start |
9701.46846875 |
transcript.pyannote[1697].end |
9702.46409375 |
transcript.pyannote[1698].speaker |
SPEAKER_17 |
transcript.pyannote[1698].start |
9706.51409375 |
transcript.pyannote[1698].end |
9707.42534375 |
transcript.pyannote[1699].speaker |
SPEAKER_09 |
transcript.pyannote[1699].start |
9707.42534375 |
transcript.pyannote[1699].end |
9707.84721875 |
transcript.pyannote[1700].speaker |
SPEAKER_17 |
transcript.pyannote[1700].start |
9707.84721875 |
transcript.pyannote[1700].end |
9711.76221875 |
transcript.pyannote[1701].speaker |
SPEAKER_09 |
transcript.pyannote[1701].start |
9711.20534375 |
transcript.pyannote[1701].end |
9713.80409375 |
transcript.pyannote[1702].speaker |
SPEAKER_17 |
transcript.pyannote[1702].start |
9713.33159375 |
transcript.pyannote[1702].end |
9713.87159375 |
transcript.pyannote[1703].speaker |
SPEAKER_09 |
transcript.pyannote[1703].start |
9713.87159375 |
transcript.pyannote[1703].end |
9714.86721875 |
transcript.pyannote[1704].speaker |
SPEAKER_17 |
transcript.pyannote[1704].start |
9714.86721875 |
transcript.pyannote[1704].end |
9727.43909375 |
transcript.pyannote[1705].speaker |
SPEAKER_09 |
transcript.pyannote[1705].start |
9714.90096875 |
transcript.pyannote[1705].end |
9715.71096875 |
transcript.pyannote[1706].speaker |
SPEAKER_09 |
transcript.pyannote[1706].start |
9725.81909375 |
transcript.pyannote[1706].end |
9761.74596875 |
transcript.pyannote[1707].speaker |
SPEAKER_17 |
transcript.pyannote[1707].start |
9727.48971875 |
transcript.pyannote[1707].end |
9730.22346875 |
transcript.pyannote[1708].speaker |
SPEAKER_17 |
transcript.pyannote[1708].start |
9730.96596875 |
transcript.pyannote[1708].end |
9731.82659375 |
transcript.pyannote[1709].speaker |
SPEAKER_13 |
transcript.pyannote[1709].start |
9735.37034375 |
transcript.pyannote[1709].end |
9736.93971875 |
transcript.pyannote[1710].speaker |
SPEAKER_16 |
transcript.pyannote[1710].start |
9751.11471875 |
transcript.pyannote[1710].end |
9751.33409375 |
transcript.pyannote[1711].speaker |
SPEAKER_17 |
transcript.pyannote[1711].start |
9761.10471875 |
transcript.pyannote[1711].end |
9779.48159375 |
transcript.pyannote[1712].speaker |
SPEAKER_09 |
transcript.pyannote[1712].start |
9767.01096875 |
transcript.pyannote[1712].end |
9768.39471875 |
transcript.pyannote[1713].speaker |
SPEAKER_09 |
transcript.pyannote[1713].start |
9778.94159375 |
transcript.pyannote[1713].end |
9806.44784375 |
transcript.pyannote[1714].speaker |
SPEAKER_17 |
transcript.pyannote[1714].start |
9780.00471875 |
transcript.pyannote[1714].end |
9780.57846875 |
transcript.pyannote[1715].speaker |
SPEAKER_17 |
transcript.pyannote[1715].start |
9781.01721875 |
transcript.pyannote[1715].end |
9781.40534375 |
transcript.pyannote[1716].speaker |
SPEAKER_10 |
transcript.pyannote[1716].start |
9788.99909375 |
transcript.pyannote[1716].end |
9789.28596875 |
transcript.pyannote[1717].speaker |
SPEAKER_08 |
transcript.pyannote[1717].start |
9789.28596875 |
transcript.pyannote[1717].end |
9789.37034375 |
transcript.pyannote[1718].speaker |
SPEAKER_10 |
transcript.pyannote[1718].start |
9789.37034375 |
transcript.pyannote[1718].end |
9789.48846875 |
transcript.pyannote[1719].speaker |
SPEAKER_00 |
transcript.pyannote[1719].start |
9789.48846875 |
transcript.pyannote[1719].end |
9789.53909375 |
transcript.pyannote[1720].speaker |
SPEAKER_13 |
transcript.pyannote[1720].start |
9794.41596875 |
transcript.pyannote[1720].end |
9795.20909375 |
transcript.pyannote[1721].speaker |
SPEAKER_17 |
transcript.pyannote[1721].start |
9799.78221875 |
transcript.pyannote[1721].end |
9800.08596875 |
transcript.pyannote[1722].speaker |
SPEAKER_17 |
transcript.pyannote[1722].start |
9806.11034375 |
transcript.pyannote[1722].end |
9808.67534375 |
transcript.pyannote[1723].speaker |
SPEAKER_09 |
transcript.pyannote[1723].start |
9808.15221875 |
transcript.pyannote[1723].end |
9818.26034375 |
transcript.pyannote[1724].speaker |
SPEAKER_17 |
transcript.pyannote[1724].start |
9810.26159375 |
transcript.pyannote[1724].end |
9810.70034375 |
transcript.pyannote[1725].speaker |
SPEAKER_17 |
transcript.pyannote[1725].start |
9816.18471875 |
transcript.pyannote[1725].end |
9816.21846875 |
transcript.pyannote[1726].speaker |
SPEAKER_09 |
transcript.pyannote[1726].start |
9818.39534375 |
transcript.pyannote[1726].end |
9823.93034375 |
transcript.pyannote[1727].speaker |
SPEAKER_17 |
transcript.pyannote[1727].start |
9823.98096875 |
transcript.pyannote[1727].end |
9831.67596875 |
transcript.pyannote[1728].speaker |
SPEAKER_09 |
transcript.pyannote[1728].start |
9831.22034375 |
transcript.pyannote[1728].end |
9837.34596875 |
transcript.pyannote[1729].speaker |
SPEAKER_17 |
transcript.pyannote[1729].start |
9836.28284375 |
transcript.pyannote[1729].end |
9838.17284375 |
transcript.pyannote[1730].speaker |
SPEAKER_17 |
transcript.pyannote[1730].start |
9838.49346875 |
transcript.pyannote[1730].end |
9839.53971875 |
transcript.pyannote[1731].speaker |
SPEAKER_09 |
transcript.pyannote[1731].start |
9839.53971875 |
transcript.pyannote[1731].end |
9839.59034375 |
transcript.pyannote[1732].speaker |
SPEAKER_17 |
transcript.pyannote[1732].start |
9839.59034375 |
transcript.pyannote[1732].end |
9839.97846875 |
transcript.pyannote[1733].speaker |
SPEAKER_09 |
transcript.pyannote[1733].start |
9839.97846875 |
transcript.pyannote[1733].end |
9847.33596875 |
transcript.pyannote[1734].speaker |
SPEAKER_17 |
transcript.pyannote[1734].start |
9841.61534375 |
transcript.pyannote[1734].end |
9842.02034375 |
transcript.pyannote[1735].speaker |
SPEAKER_17 |
transcript.pyannote[1735].start |
9845.32784375 |
transcript.pyannote[1735].end |
9845.54721875 |
transcript.pyannote[1736].speaker |
SPEAKER_17 |
transcript.pyannote[1736].start |
9846.71159375 |
transcript.pyannote[1736].end |
9848.73659375 |
transcript.pyannote[1737].speaker |
SPEAKER_09 |
transcript.pyannote[1737].start |
9848.73659375 |
transcript.pyannote[1737].end |
9856.66784375 |
transcript.pyannote[1738].speaker |
SPEAKER_17 |
transcript.pyannote[1738].start |
9848.78721875 |
transcript.pyannote[1738].end |
9849.81659375 |
transcript.pyannote[1739].speaker |
SPEAKER_17 |
transcript.pyannote[1739].start |
9850.45784375 |
transcript.pyannote[1739].end |
9851.97659375 |
transcript.pyannote[1740].speaker |
SPEAKER_13 |
transcript.pyannote[1740].start |
9851.97659375 |
transcript.pyannote[1740].end |
9852.41534375 |
transcript.pyannote[1741].speaker |
SPEAKER_13 |
transcript.pyannote[1741].start |
9853.51221875 |
transcript.pyannote[1741].end |
9854.03534375 |
transcript.pyannote[1742].speaker |
SPEAKER_17 |
transcript.pyannote[1742].start |
9854.03534375 |
transcript.pyannote[1742].end |
9855.09846875 |
transcript.pyannote[1743].speaker |
SPEAKER_17 |
transcript.pyannote[1743].start |
9855.38534375 |
transcript.pyannote[1743].end |
9856.02659375 |
transcript.pyannote[1744].speaker |
SPEAKER_04 |
transcript.pyannote[1744].start |
9856.02659375 |
transcript.pyannote[1744].end |
9856.16159375 |
transcript.pyannote[1745].speaker |
SPEAKER_13 |
transcript.pyannote[1745].start |
9856.16159375 |
transcript.pyannote[1745].end |
9856.27971875 |
transcript.pyannote[1746].speaker |
SPEAKER_04 |
transcript.pyannote[1746].start |
9856.87034375 |
transcript.pyannote[1746].end |
9860.81909375 |
transcript.pyannote[1747].speaker |
SPEAKER_07 |
transcript.pyannote[1747].start |
9873.25596875 |
transcript.pyannote[1747].end |
9875.93909375 |
transcript.pyannote[1748].speaker |
SPEAKER_07 |
transcript.pyannote[1748].start |
9877.18784375 |
transcript.pyannote[1748].end |
9879.71909375 |
transcript.pyannote[1749].speaker |
SPEAKER_07 |
transcript.pyannote[1749].start |
9885.43971875 |
transcript.pyannote[1749].end |
9885.99659375 |
transcript.pyannote[1750].speaker |
SPEAKER_07 |
transcript.pyannote[1750].start |
9886.38471875 |
transcript.pyannote[1750].end |
9898.90596875 |
transcript.pyannote[1751].speaker |
SPEAKER_17 |
transcript.pyannote[1751].start |
9892.44284375 |
transcript.pyannote[1751].end |
9892.84784375 |
transcript.pyannote[1752].speaker |
SPEAKER_00 |
transcript.pyannote[1752].start |
9895.64909375 |
transcript.pyannote[1752].end |
9895.66596875 |
transcript.pyannote[1753].speaker |
SPEAKER_17 |
transcript.pyannote[1753].start |
9895.66596875 |
transcript.pyannote[1753].end |
9896.02034375 |
transcript.pyannote[1754].speaker |
SPEAKER_13 |
transcript.pyannote[1754].start |
9897.77534375 |
transcript.pyannote[1754].end |
9897.85971875 |
transcript.pyannote[1755].speaker |
SPEAKER_13 |
transcript.pyannote[1755].start |
9898.51784375 |
transcript.pyannote[1755].end |
9898.83846875 |
transcript.pyannote[1756].speaker |
SPEAKER_17 |
transcript.pyannote[1756].start |
9898.83846875 |
transcript.pyannote[1756].end |
9898.87221875 |
transcript.pyannote[1757].speaker |
SPEAKER_07 |
transcript.pyannote[1757].start |
9899.54721875 |
transcript.pyannote[1757].end |
9906.97221875 |
transcript.pyannote[1758].speaker |
SPEAKER_07 |
transcript.pyannote[1758].start |
9907.52909375 |
transcript.pyannote[1758].end |
9907.66409375 |
transcript.pyannote[1759].speaker |
SPEAKER_07 |
transcript.pyannote[1759].start |
9907.81596875 |
transcript.pyannote[1759].end |
9909.85784375 |
transcript.pyannote[1760].speaker |
SPEAKER_17 |
transcript.pyannote[1760].start |
9908.03534375 |
transcript.pyannote[1760].end |
9908.57534375 |
transcript.pyannote[1761].speaker |
SPEAKER_07 |
transcript.pyannote[1761].start |
9910.73534375 |
transcript.pyannote[1761].end |
9910.76909375 |
transcript.pyannote[1762].speaker |
SPEAKER_17 |
transcript.pyannote[1762].start |
9910.76909375 |
transcript.pyannote[1762].end |
9920.74221875 |
transcript.pyannote[1763].speaker |
SPEAKER_07 |
transcript.pyannote[1763].start |
9919.79721875 |
transcript.pyannote[1763].end |
9920.01659375 |
transcript.pyannote[1764].speaker |
SPEAKER_07 |
transcript.pyannote[1764].start |
9920.74221875 |
transcript.pyannote[1764].end |
9926.53034375 |
transcript.pyannote[1765].speaker |
SPEAKER_17 |
transcript.pyannote[1765].start |
9921.26534375 |
transcript.pyannote[1765].end |
9921.63659375 |
transcript.pyannote[1766].speaker |
SPEAKER_17 |
transcript.pyannote[1766].start |
9922.91909375 |
transcript.pyannote[1766].end |
9926.47971875 |
transcript.pyannote[1767].speaker |
SPEAKER_07 |
transcript.pyannote[1767].start |
9926.91846875 |
transcript.pyannote[1767].end |
9933.78659375 |
transcript.pyannote[1768].speaker |
SPEAKER_07 |
transcript.pyannote[1768].start |
9934.25909375 |
transcript.pyannote[1768].end |
9938.44409375 |
transcript.pyannote[1769].speaker |
SPEAKER_14 |
transcript.pyannote[1769].start |
9938.44409375 |
transcript.pyannote[1769].end |
9938.83221875 |
transcript.pyannote[1770].speaker |
SPEAKER_07 |
transcript.pyannote[1770].start |
9938.83221875 |
transcript.pyannote[1770].end |
9942.64596875 |
transcript.pyannote[1771].speaker |
SPEAKER_07 |
transcript.pyannote[1771].start |
9942.98346875 |
transcript.pyannote[1771].end |
9946.29096875 |
transcript.pyannote[1772].speaker |
SPEAKER_18 |
transcript.pyannote[1772].start |
9946.99971875 |
transcript.pyannote[1772].end |
9948.13034375 |
transcript.pyannote[1773].speaker |
SPEAKER_18 |
transcript.pyannote[1773].start |
9948.36659375 |
transcript.pyannote[1773].end |
9950.66159375 |
transcript.pyannote[1774].speaker |
SPEAKER_07 |
transcript.pyannote[1774].start |
9950.62784375 |
transcript.pyannote[1774].end |
9952.46721875 |
transcript.pyannote[1775].speaker |
SPEAKER_18 |
transcript.pyannote[1775].start |
9952.36596875 |
transcript.pyannote[1775].end |
9952.70346875 |
transcript.pyannote[1776].speaker |
SPEAKER_07 |
transcript.pyannote[1776].start |
9952.66971875 |
transcript.pyannote[1776].end |
9963.06471875 |
transcript.pyannote[1777].speaker |
SPEAKER_14 |
transcript.pyannote[1777].start |
9963.06471875 |
transcript.pyannote[1777].end |
9963.41909375 |
transcript.pyannote[1778].speaker |
SPEAKER_07 |
transcript.pyannote[1778].start |
9963.41909375 |
transcript.pyannote[1778].end |
9968.09346875 |
transcript.pyannote[1779].speaker |
SPEAKER_07 |
transcript.pyannote[1779].start |
9968.38034375 |
transcript.pyannote[1779].end |
9973.13909375 |
transcript.pyannote[1780].speaker |
SPEAKER_07 |
transcript.pyannote[1780].start |
9973.64534375 |
transcript.pyannote[1780].end |
9985.20471875 |
transcript.pyannote[1781].speaker |
SPEAKER_14 |
transcript.pyannote[1781].start |
9984.78284375 |
transcript.pyannote[1781].end |
9985.13721875 |
transcript.pyannote[1782].speaker |
SPEAKER_07 |
transcript.pyannote[1782].start |
9985.91346875 |
transcript.pyannote[1782].end |
9988.49534375 |
transcript.pyannote[1783].speaker |
SPEAKER_07 |
transcript.pyannote[1783].start |
9989.00159375 |
transcript.pyannote[1783].end |
9990.46971875 |
transcript.pyannote[1784].speaker |
SPEAKER_07 |
transcript.pyannote[1784].start |
9991.21221875 |
transcript.pyannote[1784].end |
9992.51159375 |
transcript.pyannote[1785].speaker |
SPEAKER_07 |
transcript.pyannote[1785].start |
9993.33846875 |
transcript.pyannote[1785].end |
10008.01971875 |
transcript.pyannote[1786].speaker |
SPEAKER_07 |
transcript.pyannote[1786].start |
10008.57659375 |
transcript.pyannote[1786].end |
10012.47471875 |
transcript.pyannote[1787].speaker |
SPEAKER_07 |
transcript.pyannote[1787].start |
10012.74471875 |
transcript.pyannote[1787].end |
10016.50784375 |
transcript.pyannote[1788].speaker |
SPEAKER_07 |
transcript.pyannote[1788].start |
10016.59221875 |
transcript.pyannote[1788].end |
10020.08534375 |
transcript.pyannote[1789].speaker |
SPEAKER_13 |
transcript.pyannote[1789].start |
10020.47346875 |
transcript.pyannote[1789].end |
10020.82784375 |
transcript.pyannote[1790].speaker |
SPEAKER_07 |
transcript.pyannote[1790].start |
10020.82784375 |
transcript.pyannote[1790].end |
10026.71721875 |
transcript.pyannote[1791].speaker |
SPEAKER_14 |
transcript.pyannote[1791].start |
10026.64971875 |
transcript.pyannote[1791].end |
10027.05471875 |
transcript.pyannote[1792].speaker |
SPEAKER_07 |
transcript.pyannote[1792].start |
10027.05471875 |
transcript.pyannote[1792].end |
10030.49721875 |
transcript.pyannote[1793].speaker |
SPEAKER_07 |
transcript.pyannote[1793].start |
10031.08784375 |
transcript.pyannote[1793].end |
10042.10721875 |
transcript.pyannote[1794].speaker |
SPEAKER_07 |
transcript.pyannote[1794].start |
10042.36034375 |
transcript.pyannote[1794].end |
10043.57534375 |
transcript.pyannote[1795].speaker |
SPEAKER_17 |
transcript.pyannote[1795].start |
10043.98034375 |
transcript.pyannote[1795].end |
10045.43159375 |
transcript.pyannote[1796].speaker |
SPEAKER_17 |
transcript.pyannote[1796].start |
10045.95471875 |
transcript.pyannote[1796].end |
10067.16659375 |
transcript.pyannote[1797].speaker |
SPEAKER_07 |
transcript.pyannote[1797].start |
10047.03471875 |
transcript.pyannote[1797].end |
10049.83596875 |
transcript.pyannote[1798].speaker |
SPEAKER_07 |
transcript.pyannote[1798].start |
10065.00659375 |
transcript.pyannote[1798].end |
10067.92596875 |
transcript.pyannote[1799].speaker |
SPEAKER_17 |
transcript.pyannote[1799].start |
10067.36909375 |
transcript.pyannote[1799].end |
10067.89221875 |
transcript.pyannote[1800].speaker |
SPEAKER_17 |
transcript.pyannote[1800].start |
10067.92596875 |
transcript.pyannote[1800].end |
10067.97659375 |
transcript.pyannote[1801].speaker |
SPEAKER_07 |
transcript.pyannote[1801].start |
10067.97659375 |
transcript.pyannote[1801].end |
10075.08096875 |
transcript.pyannote[1802].speaker |
SPEAKER_17 |
transcript.pyannote[1802].start |
10069.78221875 |
transcript.pyannote[1802].end |
10072.12784375 |
transcript.pyannote[1803].speaker |
SPEAKER_17 |
transcript.pyannote[1803].start |
10073.42721875 |
transcript.pyannote[1803].end |
10073.83221875 |
transcript.pyannote[1804].speaker |
SPEAKER_17 |
transcript.pyannote[1804].start |
10074.60846875 |
transcript.pyannote[1804].end |
10075.01346875 |
transcript.pyannote[1805].speaker |
SPEAKER_07 |
transcript.pyannote[1805].start |
10075.53659375 |
transcript.pyannote[1805].end |
10085.67846875 |
transcript.pyannote[1806].speaker |
SPEAKER_07 |
transcript.pyannote[1806].start |
10086.03284375 |
transcript.pyannote[1806].end |
10092.58034375 |
transcript.pyannote[1807].speaker |
SPEAKER_07 |
transcript.pyannote[1807].start |
10092.61409375 |
transcript.pyannote[1807].end |
10095.02721875 |
transcript.pyannote[1808].speaker |
SPEAKER_07 |
transcript.pyannote[1808].start |
10095.49971875 |
transcript.pyannote[1808].end |
10096.68096875 |
transcript.pyannote[1809].speaker |
SPEAKER_17 |
transcript.pyannote[1809].start |
10095.73596875 |
transcript.pyannote[1809].end |
10096.63034375 |
transcript.pyannote[1810].speaker |
SPEAKER_07 |
transcript.pyannote[1810].start |
10097.10284375 |
transcript.pyannote[1810].end |
10100.69721875 |
transcript.pyannote[1811].speaker |
SPEAKER_13 |
transcript.pyannote[1811].start |
10099.98846875 |
transcript.pyannote[1811].end |
10100.03909375 |
transcript.pyannote[1812].speaker |
SPEAKER_07 |
transcript.pyannote[1812].start |
10100.88284375 |
transcript.pyannote[1812].end |
10106.14784375 |
transcript.pyannote[1813].speaker |
SPEAKER_14 |
transcript.pyannote[1813].start |
10104.74721875 |
transcript.pyannote[1813].end |
10104.94971875 |
transcript.pyannote[1814].speaker |
SPEAKER_14 |
transcript.pyannote[1814].start |
10105.81034375 |
transcript.pyannote[1814].end |
10105.84409375 |
transcript.pyannote[1815].speaker |
SPEAKER_13 |
transcript.pyannote[1815].start |
10106.63721875 |
transcript.pyannote[1815].end |
10106.90721875 |
transcript.pyannote[1816].speaker |
SPEAKER_07 |
transcript.pyannote[1816].start |
10106.90721875 |
transcript.pyannote[1816].end |
10112.42534375 |
transcript.pyannote[1817].speaker |
SPEAKER_13 |
transcript.pyannote[1817].start |
10108.18971875 |
transcript.pyannote[1817].end |
10108.49346875 |
transcript.pyannote[1818].speaker |
SPEAKER_14 |
transcript.pyannote[1818].start |
10108.49346875 |
transcript.pyannote[1818].end |
10108.56096875 |
transcript.pyannote[1819].speaker |
SPEAKER_07 |
transcript.pyannote[1819].start |
10112.62784375 |
transcript.pyannote[1819].end |
10116.76221875 |
transcript.pyannote[1820].speaker |
SPEAKER_17 |
transcript.pyannote[1820].start |
10116.59346875 |
transcript.pyannote[1820].end |
10121.16659375 |
transcript.pyannote[1821].speaker |
SPEAKER_17 |
transcript.pyannote[1821].start |
10121.40284375 |
transcript.pyannote[1821].end |
10124.50784375 |
transcript.pyannote[1822].speaker |
SPEAKER_07 |
transcript.pyannote[1822].start |
10123.20846875 |
transcript.pyannote[1822].end |
10129.24971875 |
transcript.pyannote[1823].speaker |
SPEAKER_17 |
transcript.pyannote[1823].start |
10125.23346875 |
transcript.pyannote[1823].end |
10126.92096875 |
transcript.pyannote[1824].speaker |
SPEAKER_07 |
transcript.pyannote[1824].start |
10129.70534375 |
transcript.pyannote[1824].end |
10130.19471875 |
transcript.pyannote[1825].speaker |
SPEAKER_07 |
transcript.pyannote[1825].start |
10130.97096875 |
transcript.pyannote[1825].end |
10133.35034375 |
transcript.pyannote[1826].speaker |
SPEAKER_07 |
transcript.pyannote[1826].start |
10133.51909375 |
transcript.pyannote[1826].end |
10133.53596875 |
transcript.pyannote[1827].speaker |
SPEAKER_17 |
transcript.pyannote[1827].start |
10133.53596875 |
transcript.pyannote[1827].end |
10135.45971875 |
transcript.pyannote[1828].speaker |
SPEAKER_07 |
transcript.pyannote[1828].start |
10134.90284375 |
transcript.pyannote[1828].end |
10141.26471875 |
transcript.pyannote[1829].speaker |
SPEAKER_07 |
transcript.pyannote[1829].start |
10142.09159375 |
transcript.pyannote[1829].end |
10146.32721875 |
transcript.pyannote[1830].speaker |
SPEAKER_07 |
transcript.pyannote[1830].start |
10147.20471875 |
transcript.pyannote[1830].end |
10150.29284375 |
transcript.pyannote[1831].speaker |
SPEAKER_07 |
transcript.pyannote[1831].start |
10150.57971875 |
transcript.pyannote[1831].end |
10151.27159375 |
transcript.pyannote[1832].speaker |
SPEAKER_07 |
transcript.pyannote[1832].start |
10151.65971875 |
transcript.pyannote[1832].end |
10157.95409375 |
transcript.pyannote[1833].speaker |
SPEAKER_07 |
transcript.pyannote[1833].start |
10158.40971875 |
transcript.pyannote[1833].end |
10169.15909375 |
transcript.pyannote[1834].speaker |
SPEAKER_07 |
transcript.pyannote[1834].start |
10169.49659375 |
transcript.pyannote[1834].end |
10171.01534375 |
transcript.pyannote[1835].speaker |
SPEAKER_07 |
transcript.pyannote[1835].start |
10171.23471875 |
transcript.pyannote[1835].end |
10171.75784375 |
transcript.pyannote[1836].speaker |
SPEAKER_07 |
transcript.pyannote[1836].start |
10172.24721875 |
transcript.pyannote[1836].end |
10175.36909375 |
transcript.pyannote[1837].speaker |
SPEAKER_17 |
transcript.pyannote[1837].start |
10175.36909375 |
transcript.pyannote[1837].end |
10175.38596875 |
transcript.pyannote[1838].speaker |
SPEAKER_07 |
transcript.pyannote[1838].start |
10177.78221875 |
transcript.pyannote[1838].end |
10177.79909375 |
transcript.pyannote[1839].speaker |
SPEAKER_17 |
transcript.pyannote[1839].start |
10177.79909375 |
transcript.pyannote[1839].end |
10186.10159375 |
transcript.pyannote[1840].speaker |
SPEAKER_07 |
transcript.pyannote[1840].start |
10185.57846875 |
transcript.pyannote[1840].end |
10186.01721875 |
transcript.pyannote[1841].speaker |
SPEAKER_07 |
transcript.pyannote[1841].start |
10186.10159375 |
transcript.pyannote[1841].end |
10189.05471875 |
transcript.pyannote[1842].speaker |
SPEAKER_17 |
transcript.pyannote[1842].start |
10187.36721875 |
transcript.pyannote[1842].end |
10192.41284375 |
transcript.pyannote[1843].speaker |
SPEAKER_07 |
transcript.pyannote[1843].start |
10192.41284375 |
transcript.pyannote[1843].end |
10192.44659375 |
transcript.pyannote[1844].speaker |
SPEAKER_07 |
transcript.pyannote[1844].start |
10192.91909375 |
transcript.pyannote[1844].end |
10199.66909375 |
transcript.pyannote[1845].speaker |
SPEAKER_17 |
transcript.pyannote[1845].start |
10197.07034375 |
transcript.pyannote[1845].end |
10200.14159375 |
transcript.pyannote[1846].speaker |
SPEAKER_07 |
transcript.pyannote[1846].start |
10200.02346875 |
transcript.pyannote[1846].end |
10205.94659375 |
transcript.pyannote[1847].speaker |
SPEAKER_17 |
transcript.pyannote[1847].start |
10200.88409375 |
transcript.pyannote[1847].end |
10201.18784375 |
transcript.pyannote[1848].speaker |
SPEAKER_17 |
transcript.pyannote[1848].start |
10202.30159375 |
transcript.pyannote[1848].end |
10202.72346875 |
transcript.pyannote[1849].speaker |
SPEAKER_17 |
transcript.pyannote[1849].start |
10204.15784375 |
transcript.pyannote[1849].end |
10205.30534375 |
transcript.pyannote[1850].speaker |
SPEAKER_07 |
transcript.pyannote[1850].start |
10206.60471875 |
transcript.pyannote[1850].end |
10209.99659375 |
transcript.pyannote[1851].speaker |
SPEAKER_17 |
transcript.pyannote[1851].start |
10209.32159375 |
transcript.pyannote[1851].end |
10211.58284375 |
transcript.pyannote[1852].speaker |
SPEAKER_07 |
transcript.pyannote[1852].start |
10210.92471875 |
transcript.pyannote[1852].end |
10221.31971875 |
transcript.pyannote[1853].speaker |
SPEAKER_17 |
transcript.pyannote[1853].start |
10214.83971875 |
transcript.pyannote[1853].end |
10215.31221875 |
transcript.pyannote[1854].speaker |
SPEAKER_17 |
transcript.pyannote[1854].start |
10215.59909375 |
transcript.pyannote[1854].end |
10215.91971875 |
transcript.pyannote[1855].speaker |
SPEAKER_07 |
transcript.pyannote[1855].start |
10221.79221875 |
transcript.pyannote[1855].end |
10223.85096875 |
transcript.pyannote[1856].speaker |
SPEAKER_07 |
transcript.pyannote[1856].start |
10224.23909375 |
transcript.pyannote[1856].end |
10225.67346875 |
transcript.pyannote[1857].speaker |
SPEAKER_07 |
transcript.pyannote[1857].start |
10226.07846875 |
transcript.pyannote[1857].end |
10226.88846875 |
transcript.pyannote[1858].speaker |
SPEAKER_07 |
transcript.pyannote[1858].start |
10227.19221875 |
transcript.pyannote[1858].end |
10236.47346875 |
transcript.pyannote[1859].speaker |
SPEAKER_13 |
transcript.pyannote[1859].start |
10236.47346875 |
transcript.pyannote[1859].end |
10236.69284375 |
transcript.pyannote[1860].speaker |
SPEAKER_07 |
transcript.pyannote[1860].start |
10236.69284375 |
transcript.pyannote[1860].end |
10240.55721875 |
transcript.pyannote[1861].speaker |
SPEAKER_17 |
transcript.pyannote[1861].start |
10240.55721875 |
transcript.pyannote[1861].end |
10240.59096875 |
transcript.pyannote[1862].speaker |
SPEAKER_07 |
transcript.pyannote[1862].start |
10241.60346875 |
transcript.pyannote[1862].end |
10241.62034375 |
transcript.pyannote[1863].speaker |
SPEAKER_17 |
transcript.pyannote[1863].start |
10241.62034375 |
transcript.pyannote[1863].end |
10248.75846875 |
transcript.pyannote[1864].speaker |
SPEAKER_17 |
transcript.pyannote[1864].start |
10249.43346875 |
transcript.pyannote[1864].end |
10252.58909375 |
transcript.pyannote[1865].speaker |
SPEAKER_07 |
transcript.pyannote[1865].start |
10251.18846875 |
transcript.pyannote[1865].end |
10252.50471875 |
transcript.pyannote[1866].speaker |
SPEAKER_08 |
transcript.pyannote[1866].start |
10252.58909375 |
transcript.pyannote[1866].end |
10252.97721875 |
transcript.pyannote[1867].speaker |
SPEAKER_07 |
transcript.pyannote[1867].start |
10252.97721875 |
transcript.pyannote[1867].end |
10273.27784375 |
transcript.pyannote[1868].speaker |
SPEAKER_08 |
transcript.pyannote[1868].start |
10259.06909375 |
transcript.pyannote[1868].end |
10259.15346875 |
transcript.pyannote[1869].speaker |
SPEAKER_17 |
transcript.pyannote[1869].start |
10259.15346875 |
transcript.pyannote[1869].end |
10259.23784375 |
transcript.pyannote[1870].speaker |
SPEAKER_08 |
transcript.pyannote[1870].start |
10259.23784375 |
transcript.pyannote[1870].end |
10259.30534375 |
transcript.pyannote[1871].speaker |
SPEAKER_00 |
transcript.pyannote[1871].start |
10263.49034375 |
transcript.pyannote[1871].end |
10264.04721875 |
transcript.pyannote[1872].speaker |
SPEAKER_00 |
transcript.pyannote[1872].start |
10265.00909375 |
transcript.pyannote[1872].end |
10265.29596875 |
transcript.pyannote[1873].speaker |
SPEAKER_07 |
transcript.pyannote[1873].start |
10273.66596875 |
transcript.pyannote[1873].end |
10274.93159375 |
transcript.pyannote[1874].speaker |
SPEAKER_17 |
transcript.pyannote[1874].start |
10273.69971875 |
transcript.pyannote[1874].end |
10281.51284375 |
transcript.pyannote[1875].speaker |
SPEAKER_17 |
transcript.pyannote[1875].start |
10282.17096875 |
transcript.pyannote[1875].end |
10288.34721875 |
transcript.pyannote[1876].speaker |
SPEAKER_07 |
transcript.pyannote[1876].start |
10287.01409375 |
transcript.pyannote[1876].end |
10290.72659375 |
transcript.pyannote[1877].speaker |
SPEAKER_17 |
transcript.pyannote[1877].start |
10289.54534375 |
transcript.pyannote[1877].end |
10297.42596875 |
transcript.pyannote[1878].speaker |
SPEAKER_07 |
transcript.pyannote[1878].start |
10295.40096875 |
transcript.pyannote[1878].end |
10303.28159375 |
transcript.pyannote[1879].speaker |
SPEAKER_17 |
transcript.pyannote[1879].start |
10299.94034375 |
transcript.pyannote[1879].end |
10301.03721875 |
transcript.pyannote[1880].speaker |
SPEAKER_17 |
transcript.pyannote[1880].start |
10301.35784375 |
transcript.pyannote[1880].end |
10301.91471875 |
transcript.pyannote[1881].speaker |
SPEAKER_07 |
transcript.pyannote[1881].start |
10304.00721875 |
transcript.pyannote[1881].end |
10306.36971875 |
transcript.pyannote[1882].speaker |
SPEAKER_17 |
transcript.pyannote[1882].start |
10306.79159375 |
transcript.pyannote[1882].end |
10306.80846875 |
transcript.pyannote[1883].speaker |
SPEAKER_07 |
transcript.pyannote[1883].start |
10306.80846875 |
transcript.pyannote[1883].end |
10307.19659375 |
transcript.pyannote[1884].speaker |
SPEAKER_07 |
transcript.pyannote[1884].start |
10307.38221875 |
transcript.pyannote[1884].end |
10317.47346875 |
transcript.pyannote[1885].speaker |
SPEAKER_17 |
transcript.pyannote[1885].start |
10307.43284375 |
transcript.pyannote[1885].end |
10308.15846875 |
transcript.pyannote[1886].speaker |
SPEAKER_17 |
transcript.pyannote[1886].start |
10308.79971875 |
transcript.pyannote[1886].end |
10310.63909375 |
transcript.pyannote[1887].speaker |
SPEAKER_00 |
transcript.pyannote[1887].start |
10311.39846875 |
transcript.pyannote[1887].end |
10311.43221875 |
transcript.pyannote[1888].speaker |
SPEAKER_14 |
transcript.pyannote[1888].start |
10311.43221875 |
transcript.pyannote[1888].end |
10311.51659375 |
transcript.pyannote[1889].speaker |
SPEAKER_00 |
transcript.pyannote[1889].start |
10311.51659375 |
transcript.pyannote[1889].end |
10311.58409375 |
transcript.pyannote[1890].speaker |
SPEAKER_07 |
transcript.pyannote[1890].start |
10317.84471875 |
transcript.pyannote[1890].end |
10325.62409375 |
transcript.pyannote[1891].speaker |
SPEAKER_07 |
transcript.pyannote[1891].start |
10326.13034375 |
transcript.pyannote[1891].end |
10329.03284375 |
transcript.pyannote[1892].speaker |
SPEAKER_17 |
transcript.pyannote[1892].start |
10329.03284375 |
transcript.pyannote[1892].end |
10330.85534375 |
transcript.pyannote[1893].speaker |
SPEAKER_15 |
transcript.pyannote[1893].start |
10330.85534375 |
transcript.pyannote[1893].end |
10331.10846875 |
transcript.pyannote[1894].speaker |
SPEAKER_17 |
transcript.pyannote[1894].start |
10331.10846875 |
transcript.pyannote[1894].end |
10340.94659375 |
transcript.pyannote[1895].speaker |
SPEAKER_17 |
transcript.pyannote[1895].start |
10341.01409375 |
transcript.pyannote[1895].end |
10344.89534375 |
transcript.pyannote[1896].speaker |
SPEAKER_17 |
transcript.pyannote[1896].start |
10345.08096875 |
transcript.pyannote[1896].end |
10347.71346875 |
transcript.pyannote[1897].speaker |
SPEAKER_17 |
transcript.pyannote[1897].start |
10347.96659375 |
transcript.pyannote[1897].end |
10355.27346875 |
transcript.pyannote[1898].speaker |
SPEAKER_07 |
transcript.pyannote[1898].start |
10355.77971875 |
transcript.pyannote[1898].end |
10361.06159375 |
transcript.pyannote[1899].speaker |
SPEAKER_07 |
transcript.pyannote[1899].start |
10362.71534375 |
transcript.pyannote[1899].end |
10369.85346875 |
transcript.pyannote[1900].speaker |
SPEAKER_07 |
transcript.pyannote[1900].start |
10370.32596875 |
transcript.pyannote[1900].end |
10372.58721875 |
transcript.pyannote[1901].speaker |
SPEAKER_07 |
transcript.pyannote[1901].start |
10373.00909375 |
transcript.pyannote[1901].end |
10374.54471875 |
transcript.pyannote[1902].speaker |
SPEAKER_07 |
transcript.pyannote[1902].start |
10374.94971875 |
transcript.pyannote[1902].end |
10379.91096875 |
transcript.pyannote[1903].speaker |
SPEAKER_17 |
transcript.pyannote[1903].start |
10376.06346875 |
transcript.pyannote[1903].end |
10377.31221875 |
transcript.pyannote[1904].speaker |
SPEAKER_17 |
transcript.pyannote[1904].start |
10377.43034375 |
transcript.pyannote[1904].end |
10377.59909375 |
transcript.pyannote[1905].speaker |
SPEAKER_17 |
transcript.pyannote[1905].start |
10377.73409375 |
transcript.pyannote[1905].end |
10378.98284375 |
transcript.pyannote[1906].speaker |
SPEAKER_17 |
transcript.pyannote[1906].start |
10379.03346875 |
transcript.pyannote[1906].end |
10379.10096875 |
transcript.pyannote[1907].speaker |
SPEAKER_17 |
transcript.pyannote[1907].start |
10379.16846875 |
transcript.pyannote[1907].end |
10379.84346875 |
transcript.pyannote[1908].speaker |
SPEAKER_07 |
transcript.pyannote[1908].start |
10380.50159375 |
transcript.pyannote[1908].end |
10390.59284375 |
transcript.pyannote[1909].speaker |
SPEAKER_07 |
transcript.pyannote[1909].start |
10391.13284375 |
transcript.pyannote[1909].end |
10392.02721875 |
transcript.pyannote[1910].speaker |
SPEAKER_17 |
transcript.pyannote[1910].start |
10391.36909375 |
transcript.pyannote[1910].end |
10391.80784375 |
transcript.pyannote[1911].speaker |
SPEAKER_17 |
transcript.pyannote[1911].start |
10392.02721875 |
transcript.pyannote[1911].end |
10406.32034375 |
transcript.pyannote[1912].speaker |
SPEAKER_17 |
transcript.pyannote[1912].start |
10406.74221875 |
transcript.pyannote[1912].end |
10424.30909375 |
transcript.pyannote[1913].speaker |
SPEAKER_07 |
transcript.pyannote[1913].start |
10423.22909375 |
transcript.pyannote[1913].end |
10435.29471875 |
transcript.pyannote[1914].speaker |
SPEAKER_17 |
transcript.pyannote[1914].start |
10424.79846875 |
transcript.pyannote[1914].end |
10425.54096875 |
transcript.pyannote[1915].speaker |
SPEAKER_17 |
transcript.pyannote[1915].start |
10428.02159375 |
transcript.pyannote[1915].end |
10428.03846875 |
transcript.pyannote[1916].speaker |
SPEAKER_07 |
transcript.pyannote[1916].start |
10435.71659375 |
transcript.pyannote[1916].end |
10440.12096875 |
transcript.pyannote[1917].speaker |
SPEAKER_07 |
transcript.pyannote[1917].start |
10441.74096875 |
transcript.pyannote[1917].end |
10442.70284375 |
transcript.pyannote[1918].speaker |
SPEAKER_07 |
transcript.pyannote[1918].start |
10442.93909375 |
transcript.pyannote[1918].end |
10443.39471875 |
transcript.pyannote[1919].speaker |
SPEAKER_07 |
transcript.pyannote[1919].start |
10443.85034375 |
transcript.pyannote[1919].end |
10445.23409375 |
transcript.pyannote[1920].speaker |
SPEAKER_07 |
transcript.pyannote[1920].start |
10445.40284375 |
transcript.pyannote[1920].end |
10453.50284375 |
transcript.pyannote[1921].speaker |
SPEAKER_07 |
transcript.pyannote[1921].start |
10454.00909375 |
transcript.pyannote[1921].end |
10455.66284375 |
transcript.pyannote[1922].speaker |
SPEAKER_07 |
transcript.pyannote[1922].start |
10456.47284375 |
transcript.pyannote[1922].end |
10465.34909375 |
transcript.pyannote[1923].speaker |
SPEAKER_07 |
transcript.pyannote[1923].start |
10466.05784375 |
transcript.pyannote[1923].end |
10475.49096875 |
transcript.pyannote[1924].speaker |
SPEAKER_07 |
transcript.pyannote[1924].start |
10476.19971875 |
transcript.pyannote[1924].end |
10478.46096875 |
transcript.pyannote[1925].speaker |
SPEAKER_07 |
transcript.pyannote[1925].start |
10478.73096875 |
transcript.pyannote[1925].end |
10478.74784375 |
transcript.pyannote[1926].speaker |
SPEAKER_17 |
transcript.pyannote[1926].start |
10478.74784375 |
transcript.pyannote[1926].end |
10497.96846875 |
transcript.pyannote[1927].speaker |
SPEAKER_07 |
transcript.pyannote[1927].start |
10497.96846875 |
transcript.pyannote[1927].end |
10498.71096875 |
transcript.pyannote[1928].speaker |
SPEAKER_07 |
transcript.pyannote[1928].start |
10498.89659375 |
transcript.pyannote[1928].end |
10513.45971875 |
transcript.pyannote[1929].speaker |
SPEAKER_17 |
transcript.pyannote[1929].start |
10499.75721875 |
transcript.pyannote[1929].end |
10501.14096875 |
transcript.pyannote[1930].speaker |
SPEAKER_17 |
transcript.pyannote[1930].start |
10503.40221875 |
transcript.pyannote[1930].end |
10503.82409375 |
transcript.pyannote[1931].speaker |
SPEAKER_17 |
transcript.pyannote[1931].start |
10504.66784375 |
transcript.pyannote[1931].end |
10505.07284375 |
transcript.pyannote[1932].speaker |
SPEAKER_17 |
transcript.pyannote[1932].start |
10507.73909375 |
transcript.pyannote[1932].end |
10508.27909375 |
transcript.pyannote[1933].speaker |
SPEAKER_00 |
transcript.pyannote[1933].start |
10512.09284375 |
transcript.pyannote[1933].end |
10512.56534375 |
transcript.pyannote[1934].speaker |
SPEAKER_07 |
transcript.pyannote[1934].start |
10513.86471875 |
transcript.pyannote[1934].end |
10515.53534375 |
transcript.pyannote[1935].speaker |
SPEAKER_07 |
transcript.pyannote[1935].start |
10515.99096875 |
transcript.pyannote[1935].end |
10520.02409375 |
transcript.pyannote[1936].speaker |
SPEAKER_17 |
transcript.pyannote[1936].start |
10516.26096875 |
transcript.pyannote[1936].end |
10516.98659375 |
transcript.pyannote[1937].speaker |
SPEAKER_17 |
transcript.pyannote[1937].start |
10520.02409375 |
transcript.pyannote[1937].end |
10528.37721875 |
transcript.pyannote[1938].speaker |
SPEAKER_17 |
transcript.pyannote[1938].start |
10528.57971875 |
transcript.pyannote[1938].end |
10529.81159375 |
transcript.pyannote[1939].speaker |
SPEAKER_04 |
transcript.pyannote[1939].start |
10530.52034375 |
transcript.pyannote[1939].end |
10531.54971875 |
transcript.pyannote[1940].speaker |
SPEAKER_04 |
transcript.pyannote[1940].start |
10532.17409375 |
transcript.pyannote[1940].end |
10534.87409375 |
transcript.pyannote[1941].speaker |
SPEAKER_11 |
transcript.pyannote[1941].start |
10543.22721875 |
transcript.pyannote[1941].end |
10544.57721875 |
transcript.pyannote[1942].speaker |
SPEAKER_03 |
transcript.pyannote[1942].start |
10545.28596875 |
transcript.pyannote[1942].end |
10545.70784375 |
transcript.pyannote[1943].speaker |
SPEAKER_11 |
transcript.pyannote[1943].start |
10545.70784375 |
transcript.pyannote[1943].end |
10545.74159375 |
transcript.pyannote[1944].speaker |
SPEAKER_11 |
transcript.pyannote[1944].start |
10546.41659375 |
transcript.pyannote[1944].end |
10546.99034375 |
transcript.pyannote[1945].speaker |
SPEAKER_11 |
transcript.pyannote[1945].start |
10551.49596875 |
transcript.pyannote[1945].end |
10552.05284375 |
transcript.pyannote[1946].speaker |
SPEAKER_11 |
transcript.pyannote[1946].start |
10552.35659375 |
transcript.pyannote[1946].end |
10565.23221875 |
transcript.pyannote[1947].speaker |
SPEAKER_13 |
transcript.pyannote[1947].start |
10559.08971875 |
transcript.pyannote[1947].end |
10559.74784375 |
transcript.pyannote[1948].speaker |
SPEAKER_00 |
transcript.pyannote[1948].start |
10564.21971875 |
transcript.pyannote[1948].end |
10564.23659375 |
transcript.pyannote[1949].speaker |
SPEAKER_13 |
transcript.pyannote[1949].start |
10564.23659375 |
transcript.pyannote[1949].end |
10564.27034375 |
transcript.pyannote[1950].speaker |
SPEAKER_07 |
transcript.pyannote[1950].start |
10564.27034375 |
transcript.pyannote[1950].end |
10564.57409375 |
transcript.pyannote[1951].speaker |
SPEAKER_11 |
transcript.pyannote[1951].start |
10565.53596875 |
transcript.pyannote[1951].end |
10579.49159375 |
transcript.pyannote[1952].speaker |
SPEAKER_13 |
transcript.pyannote[1952].start |
10567.24034375 |
transcript.pyannote[1952].end |
10567.51034375 |
transcript.pyannote[1953].speaker |
SPEAKER_00 |
transcript.pyannote[1953].start |
10568.80971875 |
transcript.pyannote[1953].end |
10568.86034375 |
transcript.pyannote[1954].speaker |
SPEAKER_00 |
transcript.pyannote[1954].start |
10568.87721875 |
transcript.pyannote[1954].end |
10568.99534375 |
transcript.pyannote[1955].speaker |
SPEAKER_00 |
transcript.pyannote[1955].start |
10569.04596875 |
transcript.pyannote[1955].end |
10569.06284375 |
transcript.pyannote[1956].speaker |
SPEAKER_17 |
transcript.pyannote[1956].start |
10579.67721875 |
transcript.pyannote[1956].end |
10581.82034375 |
transcript.pyannote[1957].speaker |
SPEAKER_18 |
transcript.pyannote[1957].start |
10581.70221875 |
transcript.pyannote[1957].end |
10598.66159375 |
transcript.pyannote[1958].speaker |
SPEAKER_11 |
transcript.pyannote[1958].start |
10581.82034375 |
transcript.pyannote[1958].end |
10581.83721875 |
transcript.pyannote[1959].speaker |
SPEAKER_17 |
transcript.pyannote[1959].start |
10581.83721875 |
transcript.pyannote[1959].end |
10582.00596875 |
transcript.pyannote[1960].speaker |
SPEAKER_13 |
transcript.pyannote[1960].start |
10588.11471875 |
transcript.pyannote[1960].end |
10588.36784375 |
transcript.pyannote[1961].speaker |
SPEAKER_11 |
transcript.pyannote[1961].start |
10594.40909375 |
transcript.pyannote[1961].end |
10594.66221875 |
transcript.pyannote[1962].speaker |
SPEAKER_11 |
transcript.pyannote[1962].start |
10597.34534375 |
transcript.pyannote[1962].end |
10598.98221875 |
transcript.pyannote[1963].speaker |
SPEAKER_18 |
transcript.pyannote[1963].start |
10598.98221875 |
transcript.pyannote[1963].end |
10605.61409375 |
transcript.pyannote[1964].speaker |
SPEAKER_11 |
transcript.pyannote[1964].start |
10602.93096875 |
transcript.pyannote[1964].end |
10602.94784375 |
transcript.pyannote[1965].speaker |
SPEAKER_17 |
transcript.pyannote[1965].start |
10602.94784375 |
transcript.pyannote[1965].end |
10603.38659375 |
transcript.pyannote[1966].speaker |
SPEAKER_11 |
transcript.pyannote[1966].start |
10603.38659375 |
transcript.pyannote[1966].end |
10603.42034375 |
transcript.pyannote[1967].speaker |
SPEAKER_17 |
transcript.pyannote[1967].start |
10604.70284375 |
transcript.pyannote[1967].end |
10625.17221875 |
transcript.pyannote[1968].speaker |
SPEAKER_18 |
transcript.pyannote[1968].start |
10605.76596875 |
transcript.pyannote[1968].end |
10606.98096875 |
transcript.pyannote[1969].speaker |
SPEAKER_18 |
transcript.pyannote[1969].start |
10609.73159375 |
transcript.pyannote[1969].end |
10610.05221875 |
transcript.pyannote[1970].speaker |
SPEAKER_07 |
transcript.pyannote[1970].start |
10610.05221875 |
transcript.pyannote[1970].end |
10610.11971875 |
transcript.pyannote[1971].speaker |
SPEAKER_11 |
transcript.pyannote[1971].start |
10620.41346875 |
transcript.pyannote[1971].end |
10664.96346875 |
transcript.pyannote[1972].speaker |
SPEAKER_17 |
transcript.pyannote[1972].start |
10625.83034375 |
transcript.pyannote[1972].end |
10628.34471875 |
transcript.pyannote[1973].speaker |
SPEAKER_17 |
transcript.pyannote[1973].start |
10628.44596875 |
transcript.pyannote[1973].end |
10628.54721875 |
transcript.pyannote[1974].speaker |
SPEAKER_17 |
transcript.pyannote[1974].start |
10628.58096875 |
transcript.pyannote[1974].end |
10628.96909375 |
transcript.pyannote[1975].speaker |
SPEAKER_17 |
transcript.pyannote[1975].start |
10630.99409375 |
transcript.pyannote[1975].end |
10631.34846875 |
transcript.pyannote[1976].speaker |
SPEAKER_00 |
transcript.pyannote[1976].start |
10657.11659375 |
transcript.pyannote[1976].end |
10657.47096875 |
transcript.pyannote[1977].speaker |
SPEAKER_11 |
transcript.pyannote[1977].start |
10665.16596875 |
transcript.pyannote[1977].end |
10690.98471875 |
transcript.pyannote[1978].speaker |
SPEAKER_13 |
transcript.pyannote[1978].start |
10676.15159375 |
transcript.pyannote[1978].end |
10676.67471875 |
transcript.pyannote[1979].speaker |
SPEAKER_13 |
transcript.pyannote[1979].start |
10690.95096875 |
transcript.pyannote[1979].end |
10691.06909375 |
transcript.pyannote[1980].speaker |
SPEAKER_11 |
transcript.pyannote[1980].start |
10691.06909375 |
transcript.pyannote[1980].end |
10692.28409375 |
transcript.pyannote[1981].speaker |
SPEAKER_13 |
transcript.pyannote[1981].start |
10691.08596875 |
transcript.pyannote[1981].end |
10691.35596875 |
transcript.pyannote[1982].speaker |
SPEAKER_11 |
transcript.pyannote[1982].start |
10693.00971875 |
transcript.pyannote[1982].end |
10693.58346875 |
transcript.pyannote[1983].speaker |
SPEAKER_11 |
transcript.pyannote[1983].start |
10694.12346875 |
transcript.pyannote[1983].end |
10695.47346875 |
transcript.pyannote[1984].speaker |
SPEAKER_11 |
transcript.pyannote[1984].start |
10695.69284375 |
transcript.pyannote[1984].end |
10697.81909375 |
transcript.pyannote[1985].speaker |
SPEAKER_11 |
transcript.pyannote[1985].start |
10698.17346875 |
transcript.pyannote[1985].end |
10701.22784375 |
transcript.pyannote[1986].speaker |
SPEAKER_11 |
transcript.pyannote[1986].start |
10701.68346875 |
transcript.pyannote[1986].end |
10712.29784375 |
transcript.pyannote[1987].speaker |
SPEAKER_11 |
transcript.pyannote[1987].start |
10712.88846875 |
transcript.pyannote[1987].end |
10719.41909375 |
transcript.pyannote[1988].speaker |
SPEAKER_11 |
transcript.pyannote[1988].start |
10719.77346875 |
transcript.pyannote[1988].end |
10722.79409375 |
transcript.pyannote[1989].speaker |
SPEAKER_11 |
transcript.pyannote[1989].start |
10722.96284375 |
transcript.pyannote[1989].end |
10746.62159375 |
transcript.pyannote[1990].speaker |
SPEAKER_17 |
transcript.pyannote[1990].start |
10726.10159375 |
transcript.pyannote[1990].end |
10726.59096875 |
transcript.pyannote[1991].speaker |
SPEAKER_13 |
transcript.pyannote[1991].start |
10726.59096875 |
transcript.pyannote[1991].end |
10726.89471875 |
transcript.pyannote[1992].speaker |
SPEAKER_17 |
transcript.pyannote[1992].start |
10746.23346875 |
transcript.pyannote[1992].end |
10748.15721875 |
transcript.pyannote[1993].speaker |
SPEAKER_11 |
transcript.pyannote[1993].start |
10747.65096875 |
transcript.pyannote[1993].end |
10774.44846875 |
transcript.pyannote[1994].speaker |
SPEAKER_13 |
transcript.pyannote[1994].start |
10774.56659375 |
transcript.pyannote[1994].end |
10774.98846875 |
transcript.pyannote[1995].speaker |
SPEAKER_11 |
transcript.pyannote[1995].start |
10775.44409375 |
transcript.pyannote[1995].end |
10776.03471875 |
transcript.pyannote[1996].speaker |
SPEAKER_17 |
transcript.pyannote[1996].start |
10776.03471875 |
transcript.pyannote[1996].end |
10777.35096875 |
transcript.pyannote[1997].speaker |
SPEAKER_11 |
transcript.pyannote[1997].start |
10777.35096875 |
transcript.pyannote[1997].end |
10777.40159375 |
transcript.pyannote[1998].speaker |
SPEAKER_11 |
transcript.pyannote[1998].start |
10777.67159375 |
transcript.pyannote[1998].end |
10777.89096875 |
transcript.pyannote[1999].speaker |
SPEAKER_17 |
transcript.pyannote[1999].start |
10777.75596875 |
transcript.pyannote[1999].end |
10782.07596875 |
transcript.pyannote[2000].speaker |
SPEAKER_14 |
transcript.pyannote[2000].start |
10782.07596875 |
transcript.pyannote[2000].end |
10782.26159375 |
transcript.pyannote[2001].speaker |
SPEAKER_17 |
transcript.pyannote[2001].start |
10782.26159375 |
transcript.pyannote[2001].end |
10785.23159375 |
transcript.pyannote[2002].speaker |
SPEAKER_17 |
transcript.pyannote[2002].start |
10785.87284375 |
transcript.pyannote[2002].end |
10788.91034375 |
transcript.pyannote[2003].speaker |
SPEAKER_15 |
transcript.pyannote[2003].start |
10788.70784375 |
transcript.pyannote[2003].end |
10789.23096875 |
transcript.pyannote[2004].speaker |
SPEAKER_17 |
transcript.pyannote[2004].start |
10789.19721875 |
transcript.pyannote[2004].end |
10795.98096875 |
transcript.pyannote[2005].speaker |
SPEAKER_17 |
transcript.pyannote[2005].start |
10796.14971875 |
transcript.pyannote[2005].end |
10805.95409375 |
transcript.pyannote[2006].speaker |
SPEAKER_14 |
transcript.pyannote[2006].start |
10798.49534375 |
transcript.pyannote[2006].end |
10798.66409375 |
transcript.pyannote[2007].speaker |
SPEAKER_00 |
transcript.pyannote[2007].start |
10798.66409375 |
transcript.pyannote[2007].end |
10798.69784375 |
transcript.pyannote[2008].speaker |
SPEAKER_17 |
transcript.pyannote[2008].start |
10805.97096875 |
transcript.pyannote[2008].end |
10810.35846875 |
transcript.pyannote[2009].speaker |
SPEAKER_11 |
transcript.pyannote[2009].start |
10809.43034375 |
transcript.pyannote[2009].end |
10826.74409375 |
transcript.pyannote[2010].speaker |
SPEAKER_17 |
transcript.pyannote[2010].start |
10819.03221875 |
transcript.pyannote[2010].end |
10819.85909375 |
transcript.pyannote[2011].speaker |
SPEAKER_17 |
transcript.pyannote[2011].start |
10820.97284375 |
transcript.pyannote[2011].end |
10821.41159375 |
transcript.pyannote[2012].speaker |
SPEAKER_17 |
transcript.pyannote[2012].start |
10825.83284375 |
transcript.pyannote[2012].end |
10839.11346875 |
transcript.pyannote[2013].speaker |
SPEAKER_11 |
transcript.pyannote[2013].start |
10829.49471875 |
transcript.pyannote[2013].end |
10829.88284375 |
transcript.pyannote[2014].speaker |
SPEAKER_11 |
transcript.pyannote[2014].start |
10830.99659375 |
transcript.pyannote[2014].end |
10831.24971875 |
transcript.pyannote[2015].speaker |
SPEAKER_11 |
transcript.pyannote[2015].start |
10837.84784375 |
transcript.pyannote[2015].end |
10837.98284375 |
transcript.pyannote[2016].speaker |
SPEAKER_11 |
transcript.pyannote[2016].start |
10838.53971875 |
transcript.pyannote[2016].end |
10839.60284375 |
transcript.pyannote[2017].speaker |
SPEAKER_17 |
transcript.pyannote[2017].start |
10839.60284375 |
transcript.pyannote[2017].end |
10839.85596875 |
transcript.pyannote[2018].speaker |
SPEAKER_11 |
transcript.pyannote[2018].start |
10839.85596875 |
transcript.pyannote[2018].end |
10839.88971875 |
transcript.pyannote[2019].speaker |
SPEAKER_17 |
transcript.pyannote[2019].start |
10839.88971875 |
transcript.pyannote[2019].end |
10843.55159375 |
transcript.pyannote[2020].speaker |
SPEAKER_11 |
transcript.pyannote[2020].start |
10840.17659375 |
transcript.pyannote[2020].end |
10843.53471875 |
transcript.pyannote[2021].speaker |
SPEAKER_11 |
transcript.pyannote[2021].start |
10843.55159375 |
transcript.pyannote[2021].end |
10843.56846875 |
transcript.pyannote[2022].speaker |
SPEAKER_17 |
transcript.pyannote[2022].start |
10843.56846875 |
transcript.pyannote[2022].end |
10843.97346875 |
transcript.pyannote[2023].speaker |
SPEAKER_11 |
transcript.pyannote[2023].start |
10843.97346875 |
transcript.pyannote[2023].end |
10844.02409375 |
transcript.pyannote[2024].speaker |
SPEAKER_17 |
transcript.pyannote[2024].start |
10844.02409375 |
transcript.pyannote[2024].end |
10844.22659375 |
transcript.pyannote[2025].speaker |
SPEAKER_11 |
transcript.pyannote[2025].start |
10844.22659375 |
transcript.pyannote[2025].end |
10844.74971875 |
transcript.pyannote[2026].speaker |
SPEAKER_17 |
transcript.pyannote[2026].start |
10844.74971875 |
transcript.pyannote[2026].end |
10866.46784375 |
transcript.pyannote[2027].speaker |
SPEAKER_11 |
transcript.pyannote[2027].start |
10844.80034375 |
transcript.pyannote[2027].end |
10845.40784375 |
transcript.pyannote[2028].speaker |
SPEAKER_11 |
transcript.pyannote[2028].start |
10857.27096875 |
transcript.pyannote[2028].end |
10857.55784375 |
transcript.pyannote[2029].speaker |
SPEAKER_11 |
transcript.pyannote[2029].start |
10859.86971875 |
transcript.pyannote[2029].end |
10861.60784375 |
transcript.pyannote[2030].speaker |
SPEAKER_11 |
transcript.pyannote[2030].start |
10864.98284375 |
transcript.pyannote[2030].end |
10884.82784375 |
transcript.pyannote[2031].speaker |
SPEAKER_11 |
transcript.pyannote[2031].start |
10885.06409375 |
transcript.pyannote[2031].end |
10887.62909375 |
transcript.pyannote[2032].speaker |
SPEAKER_11 |
transcript.pyannote[2032].start |
10888.00034375 |
transcript.pyannote[2032].end |
10889.29971875 |
transcript.pyannote[2033].speaker |
SPEAKER_11 |
transcript.pyannote[2033].start |
10889.56971875 |
transcript.pyannote[2033].end |
10916.23221875 |
transcript.pyannote[2034].speaker |
SPEAKER_11 |
transcript.pyannote[2034].start |
10916.36721875 |
transcript.pyannote[2034].end |
10919.57346875 |
transcript.pyannote[2035].speaker |
SPEAKER_11 |
transcript.pyannote[2035].start |
10920.09659375 |
transcript.pyannote[2035].end |
10940.36346875 |
transcript.pyannote[2036].speaker |
SPEAKER_11 |
transcript.pyannote[2036].start |
10940.58284375 |
transcript.pyannote[2036].end |
10941.34221875 |
transcript.pyannote[2037].speaker |
SPEAKER_11 |
transcript.pyannote[2037].start |
10941.84846875 |
transcript.pyannote[2037].end |
10944.43034375 |
transcript.pyannote[2038].speaker |
SPEAKER_17 |
transcript.pyannote[2038].start |
10944.43034375 |
transcript.pyannote[2038].end |
10969.48971875 |
transcript.pyannote[2039].speaker |
SPEAKER_17 |
transcript.pyannote[2039].start |
10969.72596875 |
transcript.pyannote[2039].end |
10977.18471875 |
transcript.pyannote[2040].speaker |
SPEAKER_11 |
transcript.pyannote[2040].start |
10975.90221875 |
transcript.pyannote[2040].end |
10976.94846875 |
transcript.pyannote[2041].speaker |
SPEAKER_17 |
transcript.pyannote[2041].start |
10978.46721875 |
transcript.pyannote[2041].end |
10982.44971875 |
transcript.pyannote[2042].speaker |
SPEAKER_11 |
transcript.pyannote[2042].start |
10978.87221875 |
transcript.pyannote[2042].end |
10980.35721875 |
transcript.pyannote[2043].speaker |
SPEAKER_11 |
transcript.pyannote[2043].start |
10980.72846875 |
transcript.pyannote[2043].end |
10981.90971875 |
transcript.pyannote[2044].speaker |
SPEAKER_17 |
transcript.pyannote[2044].start |
10982.73659375 |
transcript.pyannote[2044].end |
10984.64346875 |
transcript.pyannote[2045].speaker |
SPEAKER_17 |
transcript.pyannote[2045].start |
10984.87971875 |
transcript.pyannote[2045].end |
10986.49971875 |
transcript.pyannote[2046].speaker |
SPEAKER_17 |
transcript.pyannote[2046].start |
10986.75284375 |
transcript.pyannote[2046].end |
10987.91721875 |
transcript.pyannote[2047].speaker |
SPEAKER_17 |
transcript.pyannote[2047].start |
10988.38971875 |
transcript.pyannote[2047].end |
10989.28409375 |
transcript.pyannote[2048].speaker |
SPEAKER_17 |
transcript.pyannote[2048].start |
10990.00971875 |
transcript.pyannote[2048].end |
10991.52846875 |
transcript.pyannote[2049].speaker |
SPEAKER_17 |
transcript.pyannote[2049].start |
10991.68034375 |
transcript.pyannote[2049].end |
10995.47721875 |
transcript.pyannote[2050].speaker |
SPEAKER_11 |
transcript.pyannote[2050].start |
10994.68409375 |
transcript.pyannote[2050].end |
11016.52034375 |
transcript.pyannote[2051].speaker |
SPEAKER_17 |
transcript.pyannote[2051].start |
10997.23221875 |
transcript.pyannote[2051].end |
10997.51909375 |
transcript.pyannote[2052].speaker |
SPEAKER_17 |
transcript.pyannote[2052].start |
10997.56971875 |
transcript.pyannote[2052].end |
10997.62034375 |
transcript.pyannote[2053].speaker |
SPEAKER_17 |
transcript.pyannote[2053].start |
10997.63721875 |
transcript.pyannote[2053].end |
10997.67096875 |
transcript.pyannote[2054].speaker |
SPEAKER_17 |
transcript.pyannote[2054].start |
10997.70471875 |
transcript.pyannote[2054].end |
10997.92409375 |
transcript.pyannote[2055].speaker |
SPEAKER_00 |
transcript.pyannote[2055].start |
11003.23971875 |
transcript.pyannote[2055].end |
11004.03284375 |
transcript.pyannote[2056].speaker |
SPEAKER_14 |
transcript.pyannote[2056].start |
11004.03284375 |
transcript.pyannote[2056].end |
11005.56846875 |
transcript.pyannote[2057].speaker |
SPEAKER_00 |
transcript.pyannote[2057].start |
11005.56846875 |
transcript.pyannote[2057].end |
11005.60221875 |
transcript.pyannote[2058].speaker |
SPEAKER_00 |
transcript.pyannote[2058].start |
11006.42909375 |
transcript.pyannote[2058].end |
11006.46284375 |
transcript.pyannote[2059].speaker |
SPEAKER_13 |
transcript.pyannote[2059].start |
11006.46284375 |
transcript.pyannote[2059].end |
11006.83409375 |
transcript.pyannote[2060].speaker |
SPEAKER_14 |
transcript.pyannote[2060].start |
11006.83409375 |
transcript.pyannote[2060].end |
11006.85096875 |
transcript.pyannote[2061].speaker |
SPEAKER_00 |
transcript.pyannote[2061].start |
11006.85096875 |
transcript.pyannote[2061].end |
11006.96909375 |
transcript.pyannote[2062].speaker |
SPEAKER_00 |
transcript.pyannote[2062].start |
11007.34034375 |
transcript.pyannote[2062].end |
11007.35721875 |
transcript.pyannote[2063].speaker |
SPEAKER_14 |
transcript.pyannote[2063].start |
11007.35721875 |
transcript.pyannote[2063].end |
11007.37409375 |
transcript.pyannote[2064].speaker |
SPEAKER_13 |
transcript.pyannote[2064].start |
11007.37409375 |
transcript.pyannote[2064].end |
11007.81284375 |
transcript.pyannote[2065].speaker |
SPEAKER_00 |
transcript.pyannote[2065].start |
11007.81284375 |
transcript.pyannote[2065].end |
11007.86346875 |
transcript.pyannote[2066].speaker |
SPEAKER_13 |
transcript.pyannote[2066].start |
11009.34846875 |
transcript.pyannote[2066].end |
11010.02346875 |
transcript.pyannote[2067].speaker |
SPEAKER_17 |
transcript.pyannote[2067].start |
11010.02346875 |
transcript.pyannote[2067].end |
11010.05721875 |
transcript.pyannote[2068].speaker |
SPEAKER_17 |
transcript.pyannote[2068].start |
11010.07409375 |
transcript.pyannote[2068].end |
11010.24284375 |
transcript.pyannote[2069].speaker |
SPEAKER_17 |
transcript.pyannote[2069].start |
11015.67659375 |
transcript.pyannote[2069].end |
11015.79471875 |
transcript.pyannote[2070].speaker |
SPEAKER_17 |
transcript.pyannote[2070].start |
11016.52034375 |
transcript.pyannote[2070].end |
11020.77284375 |
transcript.pyannote[2071].speaker |
SPEAKER_11 |
transcript.pyannote[2071].start |
11018.86596875 |
transcript.pyannote[2071].end |
11022.20721875 |
transcript.pyannote[2072].speaker |
SPEAKER_17 |
transcript.pyannote[2072].start |
11021.12721875 |
transcript.pyannote[2072].end |
11022.17346875 |
transcript.pyannote[2073].speaker |
SPEAKER_17 |
transcript.pyannote[2073].start |
11022.20721875 |
transcript.pyannote[2073].end |
11022.93284375 |
transcript.pyannote[2074].speaker |
SPEAKER_11 |
transcript.pyannote[2074].start |
11022.93284375 |
transcript.pyannote[2074].end |
11022.94971875 |
transcript.pyannote[2075].speaker |
SPEAKER_17 |
transcript.pyannote[2075].start |
11022.94971875 |
transcript.pyannote[2075].end |
11022.96659375 |
transcript.pyannote[2076].speaker |
SPEAKER_11 |
transcript.pyannote[2076].start |
11022.96659375 |
transcript.pyannote[2076].end |
11023.05096875 |
transcript.pyannote[2077].speaker |
SPEAKER_17 |
transcript.pyannote[2077].start |
11023.05096875 |
transcript.pyannote[2077].end |
11023.86096875 |
transcript.pyannote[2078].speaker |
SPEAKER_04 |
transcript.pyannote[2078].start |
11024.90721875 |
transcript.pyannote[2078].end |
11025.80159375 |
transcript.pyannote[2079].speaker |
SPEAKER_04 |
transcript.pyannote[2079].start |
11026.47659375 |
transcript.pyannote[2079].end |
11029.81784375 |
transcript.pyannote[2080].speaker |
SPEAKER_00 |
transcript.pyannote[2080].start |
11046.40596875 |
transcript.pyannote[2080].end |
11048.86971875 |
transcript.pyannote[2081].speaker |
SPEAKER_00 |
transcript.pyannote[2081].start |
11049.54471875 |
transcript.pyannote[2081].end |
11050.06784375 |
transcript.pyannote[2082].speaker |
SPEAKER_17 |
transcript.pyannote[2082].start |
11055.99096875 |
transcript.pyannote[2082].end |
11056.00784375 |
transcript.pyannote[2083].speaker |
SPEAKER_00 |
transcript.pyannote[2083].start |
11056.00784375 |
transcript.pyannote[2083].end |
11056.05846875 |
transcript.pyannote[2084].speaker |
SPEAKER_17 |
transcript.pyannote[2084].start |
11056.05846875 |
transcript.pyannote[2084].end |
11056.39596875 |
transcript.pyannote[2085].speaker |
SPEAKER_00 |
transcript.pyannote[2085].start |
11056.39596875 |
transcript.pyannote[2085].end |
11056.42971875 |
transcript.pyannote[2086].speaker |
SPEAKER_00 |
transcript.pyannote[2086].start |
11056.63221875 |
transcript.pyannote[2086].end |
11061.64409375 |
transcript.pyannote[2087].speaker |
SPEAKER_00 |
transcript.pyannote[2087].start |
11061.69471875 |
transcript.pyannote[2087].end |
11068.86659375 |
transcript.pyannote[2088].speaker |
SPEAKER_00 |
transcript.pyannote[2088].start |
11069.11971875 |
transcript.pyannote[2088].end |
11083.05846875 |
transcript.pyannote[2089].speaker |
SPEAKER_00 |
transcript.pyannote[2089].start |
11083.34534375 |
transcript.pyannote[2089].end |
11085.52221875 |
transcript.pyannote[2090].speaker |
SPEAKER_00 |
transcript.pyannote[2090].start |
11085.69096875 |
transcript.pyannote[2090].end |
11102.53221875 |
transcript.pyannote[2091].speaker |
SPEAKER_01 |
transcript.pyannote[2091].start |
11089.69034375 |
transcript.pyannote[2091].end |
11089.70721875 |
transcript.pyannote[2092].speaker |
SPEAKER_13 |
transcript.pyannote[2092].start |
11089.70721875 |
transcript.pyannote[2092].end |
11090.02784375 |
transcript.pyannote[2093].speaker |
SPEAKER_13 |
transcript.pyannote[2093].start |
11094.26346875 |
transcript.pyannote[2093].end |
11094.33096875 |
transcript.pyannote[2094].speaker |
SPEAKER_00 |
transcript.pyannote[2094].start |
11103.24096875 |
transcript.pyannote[2094].end |
11103.25784375 |
transcript.pyannote[2095].speaker |
SPEAKER_13 |
transcript.pyannote[2095].start |
11103.25784375 |
transcript.pyannote[2095].end |
11103.27471875 |
transcript.pyannote[2096].speaker |
SPEAKER_00 |
transcript.pyannote[2096].start |
11103.27471875 |
transcript.pyannote[2096].end |
11103.84846875 |
transcript.pyannote[2097].speaker |
SPEAKER_00 |
transcript.pyannote[2097].start |
11104.64159375 |
transcript.pyannote[2097].end |
11106.46409375 |
transcript.pyannote[2098].speaker |
SPEAKER_00 |
transcript.pyannote[2098].start |
11106.59909375 |
transcript.pyannote[2098].end |
11108.03346875 |
transcript.pyannote[2099].speaker |
SPEAKER_13 |
transcript.pyannote[2099].start |
11107.94909375 |
transcript.pyannote[2099].end |
11108.30346875 |
transcript.pyannote[2100].speaker |
SPEAKER_00 |
transcript.pyannote[2100].start |
11108.47221875 |
transcript.pyannote[2100].end |
11110.95284375 |
transcript.pyannote[2101].speaker |
SPEAKER_13 |
transcript.pyannote[2101].start |
11110.56471875 |
transcript.pyannote[2101].end |
11111.05409375 |
transcript.pyannote[2102].speaker |
SPEAKER_00 |
transcript.pyannote[2102].start |
11111.47596875 |
transcript.pyannote[2102].end |
11116.35284375 |
transcript.pyannote[2103].speaker |
SPEAKER_14 |
transcript.pyannote[2103].start |
11116.18409375 |
transcript.pyannote[2103].end |
11116.20096875 |
transcript.pyannote[2104].speaker |
SPEAKER_14 |
transcript.pyannote[2104].start |
11116.23471875 |
transcript.pyannote[2104].end |
11116.25159375 |
transcript.pyannote[2105].speaker |
SPEAKER_14 |
transcript.pyannote[2105].start |
11116.35284375 |
transcript.pyannote[2105].end |
11116.45409375 |
transcript.pyannote[2106].speaker |
SPEAKER_00 |
transcript.pyannote[2106].start |
11116.45409375 |
transcript.pyannote[2106].end |
11121.02721875 |
transcript.pyannote[2107].speaker |
SPEAKER_14 |
transcript.pyannote[2107].start |
11116.47096875 |
transcript.pyannote[2107].end |
11116.58909375 |
transcript.pyannote[2108].speaker |
SPEAKER_13 |
transcript.pyannote[2108].start |
11116.58909375 |
transcript.pyannote[2108].end |
11116.62284375 |
transcript.pyannote[2109].speaker |
SPEAKER_14 |
transcript.pyannote[2109].start |
11120.82471875 |
transcript.pyannote[2109].end |
11121.22971875 |
transcript.pyannote[2110].speaker |
SPEAKER_00 |
transcript.pyannote[2110].start |
11121.38159375 |
transcript.pyannote[2110].end |
11122.90034375 |
transcript.pyannote[2111].speaker |
SPEAKER_14 |
transcript.pyannote[2111].start |
11123.08596875 |
transcript.pyannote[2111].end |
11123.57534375 |
transcript.pyannote[2112].speaker |
SPEAKER_00 |
transcript.pyannote[2112].start |
11123.74409375 |
transcript.pyannote[2112].end |
11127.01784375 |
transcript.pyannote[2113].speaker |
SPEAKER_14 |
transcript.pyannote[2113].start |
11126.68034375 |
transcript.pyannote[2113].end |
11127.05159375 |
transcript.pyannote[2114].speaker |
SPEAKER_00 |
transcript.pyannote[2114].start |
11127.05159375 |
transcript.pyannote[2114].end |
11129.24534375 |
transcript.pyannote[2115].speaker |
SPEAKER_14 |
transcript.pyannote[2115].start |
11129.24534375 |
transcript.pyannote[2115].end |
11129.54909375 |
transcript.pyannote[2116].speaker |
SPEAKER_00 |
transcript.pyannote[2116].start |
11130.25784375 |
transcript.pyannote[2116].end |
11131.15221875 |
transcript.pyannote[2117].speaker |
SPEAKER_00 |
transcript.pyannote[2117].start |
11131.38846875 |
transcript.pyannote[2117].end |
11135.99534375 |
transcript.pyannote[2118].speaker |
SPEAKER_13 |
transcript.pyannote[2118].start |
11135.84346875 |
transcript.pyannote[2118].end |
11135.86034375 |
transcript.pyannote[2119].speaker |
SPEAKER_13 |
transcript.pyannote[2119].start |
11135.89409375 |
transcript.pyannote[2119].end |
11136.19784375 |
transcript.pyannote[2120].speaker |
SPEAKER_00 |
transcript.pyannote[2120].start |
11136.04596875 |
transcript.pyannote[2120].end |
11138.12159375 |
transcript.pyannote[2121].speaker |
SPEAKER_00 |
transcript.pyannote[2121].start |
11138.30721875 |
transcript.pyannote[2121].end |
11142.23909375 |
transcript.pyannote[2122].speaker |
SPEAKER_13 |
transcript.pyannote[2122].start |
11142.08721875 |
transcript.pyannote[2122].end |
11142.61034375 |
transcript.pyannote[2123].speaker |
SPEAKER_00 |
transcript.pyannote[2123].start |
11142.45846875 |
transcript.pyannote[2123].end |
11156.00909375 |
transcript.pyannote[2124].speaker |
SPEAKER_13 |
transcript.pyannote[2124].start |
11144.36534375 |
transcript.pyannote[2124].end |
11144.71971875 |
transcript.pyannote[2125].speaker |
SPEAKER_13 |
transcript.pyannote[2125].start |
11150.89596875 |
transcript.pyannote[2125].end |
11151.33471875 |
transcript.pyannote[2126].speaker |
SPEAKER_01 |
transcript.pyannote[2126].start |
11151.33471875 |
transcript.pyannote[2126].end |
11151.35159375 |
transcript.pyannote[2127].speaker |
SPEAKER_13 |
transcript.pyannote[2127].start |
11153.15721875 |
transcript.pyannote[2127].end |
11153.59596875 |
transcript.pyannote[2128].speaker |
SPEAKER_13 |
transcript.pyannote[2128].start |
11155.21596875 |
transcript.pyannote[2128].end |
11155.72221875 |
transcript.pyannote[2129].speaker |
SPEAKER_00 |
transcript.pyannote[2129].start |
11156.49846875 |
transcript.pyannote[2129].end |
11162.91096875 |
transcript.pyannote[2130].speaker |
SPEAKER_13 |
transcript.pyannote[2130].start |
11163.34971875 |
transcript.pyannote[2130].end |
11163.77159375 |
transcript.pyannote[2131].speaker |
SPEAKER_00 |
transcript.pyannote[2131].start |
11163.95721875 |
transcript.pyannote[2131].end |
11168.20971875 |
transcript.pyannote[2132].speaker |
SPEAKER_00 |
transcript.pyannote[2132].start |
11168.49659375 |
transcript.pyannote[2132].end |
11176.52909375 |
transcript.pyannote[2133].speaker |
SPEAKER_00 |
transcript.pyannote[2133].start |
11176.95096875 |
transcript.pyannote[2133].end |
11178.14909375 |
transcript.pyannote[2134].speaker |
SPEAKER_00 |
transcript.pyannote[2134].start |
11178.26721875 |
transcript.pyannote[2134].end |
11179.75221875 |
transcript.pyannote[2135].speaker |
SPEAKER_00 |
transcript.pyannote[2135].start |
11179.95471875 |
transcript.pyannote[2135].end |
11181.38909375 |
transcript.pyannote[2136].speaker |
SPEAKER_00 |
transcript.pyannote[2136].start |
11182.14846875 |
transcript.pyannote[2136].end |
11183.51534375 |
transcript.pyannote[2137].speaker |
SPEAKER_00 |
transcript.pyannote[2137].start |
11183.93721875 |
transcript.pyannote[2137].end |
11188.29096875 |
transcript.pyannote[2138].speaker |
SPEAKER_00 |
transcript.pyannote[2138].start |
11188.56096875 |
transcript.pyannote[2138].end |
11200.30596875 |
transcript.pyannote[2139].speaker |
SPEAKER_00 |
transcript.pyannote[2139].start |
11200.87971875 |
transcript.pyannote[2139].end |
11205.80721875 |
transcript.pyannote[2140].speaker |
SPEAKER_00 |
transcript.pyannote[2140].start |
11206.71846875 |
transcript.pyannote[2140].end |
11208.84471875 |
transcript.pyannote[2141].speaker |
SPEAKER_00 |
transcript.pyannote[2141].start |
11209.72221875 |
transcript.pyannote[2141].end |
11211.05534375 |
transcript.pyannote[2142].speaker |
SPEAKER_00 |
transcript.pyannote[2142].start |
11211.59534375 |
transcript.pyannote[2142].end |
11214.16034375 |
transcript.pyannote[2143].speaker |
SPEAKER_00 |
transcript.pyannote[2143].start |
11215.29096875 |
transcript.pyannote[2143].end |
11219.62784375 |
transcript.pyannote[2144].speaker |
SPEAKER_13 |
transcript.pyannote[2144].start |
11219.62784375 |
transcript.pyannote[2144].end |
11219.98221875 |
transcript.pyannote[2145].speaker |
SPEAKER_00 |
transcript.pyannote[2145].start |
11219.98221875 |
transcript.pyannote[2145].end |
11222.47971875 |
transcript.pyannote[2146].speaker |
SPEAKER_13 |
transcript.pyannote[2146].start |
11222.34471875 |
transcript.pyannote[2146].end |
11222.71596875 |
transcript.pyannote[2147].speaker |
SPEAKER_00 |
transcript.pyannote[2147].start |
11222.66534375 |
transcript.pyannote[2147].end |
11233.90409375 |
transcript.pyannote[2148].speaker |
SPEAKER_00 |
transcript.pyannote[2148].start |
11233.98846875 |
transcript.pyannote[2148].end |
11235.03471875 |
transcript.pyannote[2149].speaker |
SPEAKER_00 |
transcript.pyannote[2149].start |
11235.16971875 |
transcript.pyannote[2149].end |
11237.41409375 |
transcript.pyannote[2150].speaker |
SPEAKER_00 |
transcript.pyannote[2150].start |
11237.81909375 |
transcript.pyannote[2150].end |
11240.11409375 |
transcript.pyannote[2151].speaker |
SPEAKER_17 |
transcript.pyannote[2151].start |
11240.28284375 |
transcript.pyannote[2151].end |
11240.55284375 |
transcript.pyannote[2152].speaker |
SPEAKER_00 |
transcript.pyannote[2152].start |
11241.16034375 |
transcript.pyannote[2152].end |
11243.25284375 |
transcript.pyannote[2153].speaker |
SPEAKER_00 |
transcript.pyannote[2153].start |
11244.38346875 |
transcript.pyannote[2153].end |
11245.42971875 |
transcript.pyannote[2154].speaker |
SPEAKER_00 |
transcript.pyannote[2154].start |
11245.81784375 |
transcript.pyannote[2154].end |
11247.13409375 |
transcript.pyannote[2155].speaker |
SPEAKER_00 |
transcript.pyannote[2155].start |
11247.82596875 |
transcript.pyannote[2155].end |
11250.32346875 |
transcript.pyannote[2156].speaker |
SPEAKER_00 |
transcript.pyannote[2156].start |
11250.49221875 |
transcript.pyannote[2156].end |
11250.50909375 |
transcript.pyannote[2157].speaker |
SPEAKER_13 |
transcript.pyannote[2157].start |
11250.50909375 |
transcript.pyannote[2157].end |
11250.52596875 |
transcript.pyannote[2158].speaker |
SPEAKER_00 |
transcript.pyannote[2158].start |
11250.52596875 |
transcript.pyannote[2158].end |
11252.02784375 |
transcript.pyannote[2159].speaker |
SPEAKER_00 |
transcript.pyannote[2159].start |
11252.77034375 |
transcript.pyannote[2159].end |
11254.23846875 |
transcript.pyannote[2160].speaker |
SPEAKER_00 |
transcript.pyannote[2160].start |
11255.20034375 |
transcript.pyannote[2160].end |
11258.54159375 |
transcript.pyannote[2161].speaker |
SPEAKER_00 |
transcript.pyannote[2161].start |
11259.06471875 |
transcript.pyannote[2161].end |
11259.85784375 |
transcript.pyannote[2162].speaker |
SPEAKER_13 |
transcript.pyannote[2162].start |
11259.85784375 |
transcript.pyannote[2162].end |
11260.21221875 |
transcript.pyannote[2163].speaker |
SPEAKER_00 |
transcript.pyannote[2163].start |
11260.21221875 |
transcript.pyannote[2163].end |
11261.25846875 |
transcript.pyannote[2164].speaker |
SPEAKER_00 |
transcript.pyannote[2164].start |
11261.64659375 |
transcript.pyannote[2164].end |
11265.46034375 |
transcript.pyannote[2165].speaker |
SPEAKER_00 |
transcript.pyannote[2165].start |
11265.71346875 |
transcript.pyannote[2165].end |
11266.81034375 |
transcript.pyannote[2166].speaker |
SPEAKER_17 |
transcript.pyannote[2166].start |
11267.16471875 |
transcript.pyannote[2166].end |
11267.56971875 |
transcript.pyannote[2167].speaker |
SPEAKER_00 |
transcript.pyannote[2167].start |
11267.65409375 |
transcript.pyannote[2167].end |
11268.24471875 |
transcript.pyannote[2168].speaker |
SPEAKER_00 |
transcript.pyannote[2168].start |
11268.53159375 |
transcript.pyannote[2168].end |
11272.15971875 |
transcript.pyannote[2169].speaker |
SPEAKER_17 |
transcript.pyannote[2169].start |
11272.27784375 |
transcript.pyannote[2169].end |
11273.57721875 |
transcript.pyannote[2170].speaker |
SPEAKER_00 |
transcript.pyannote[2170].start |
11273.62784375 |
transcript.pyannote[2170].end |
11275.21409375 |
transcript.pyannote[2171].speaker |
SPEAKER_17 |
transcript.pyannote[2171].start |
11274.67409375 |
transcript.pyannote[2171].end |
11275.09596875 |
transcript.pyannote[2172].speaker |
SPEAKER_00 |
transcript.pyannote[2172].start |
11275.51784375 |
transcript.pyannote[2172].end |
11278.85909375 |
transcript.pyannote[2173].speaker |
SPEAKER_17 |
transcript.pyannote[2173].start |
11279.31471875 |
transcript.pyannote[2173].end |
11286.85784375 |
transcript.pyannote[2174].speaker |
SPEAKER_00 |
transcript.pyannote[2174].start |
11286.52034375 |
transcript.pyannote[2174].end |
11289.81096875 |
transcript.pyannote[2175].speaker |
SPEAKER_00 |
transcript.pyannote[2175].start |
11291.09346875 |
transcript.pyannote[2175].end |
11292.67971875 |
transcript.pyannote[2176].speaker |
SPEAKER_00 |
transcript.pyannote[2176].start |
11293.59096875 |
transcript.pyannote[2176].end |
11294.56971875 |
transcript.pyannote[2177].speaker |
SPEAKER_17 |
transcript.pyannote[2177].start |
11294.83971875 |
transcript.pyannote[2177].end |
11296.40909375 |
transcript.pyannote[2178].speaker |
SPEAKER_00 |
transcript.pyannote[2178].start |
11296.40909375 |
transcript.pyannote[2178].end |
11299.07534375 |
transcript.pyannote[2179].speaker |
SPEAKER_17 |
transcript.pyannote[2179].start |
11297.18534375 |
transcript.pyannote[2179].end |
11298.24846875 |
transcript.pyannote[2180].speaker |
SPEAKER_00 |
transcript.pyannote[2180].start |
11299.22721875 |
transcript.pyannote[2180].end |
11301.48846875 |
transcript.pyannote[2181].speaker |
SPEAKER_17 |
transcript.pyannote[2181].start |
11301.48846875 |
transcript.pyannote[2181].end |
11306.58471875 |
transcript.pyannote[2182].speaker |
SPEAKER_17 |
transcript.pyannote[2182].start |
11306.95596875 |
transcript.pyannote[2182].end |
11322.53159375 |
transcript.pyannote[2183].speaker |
SPEAKER_00 |
transcript.pyannote[2183].start |
11322.12659375 |
transcript.pyannote[2183].end |
11323.59471875 |
transcript.pyannote[2184].speaker |
SPEAKER_00 |
transcript.pyannote[2184].start |
11324.53971875 |
transcript.pyannote[2184].end |
11332.04909375 |
transcript.pyannote[2185].speaker |
SPEAKER_17 |
transcript.pyannote[2185].start |
11329.63596875 |
transcript.pyannote[2185].end |
11330.14221875 |
transcript.pyannote[2186].speaker |
SPEAKER_00 |
transcript.pyannote[2186].start |
11332.58909375 |
transcript.pyannote[2186].end |
11333.82096875 |
transcript.pyannote[2187].speaker |
SPEAKER_17 |
transcript.pyannote[2187].start |
11333.82096875 |
transcript.pyannote[2187].end |
11334.29346875 |
transcript.pyannote[2188].speaker |
SPEAKER_00 |
transcript.pyannote[2188].start |
11334.29346875 |
transcript.pyannote[2188].end |
11337.46596875 |
transcript.pyannote[2189].speaker |
SPEAKER_17 |
transcript.pyannote[2189].start |
11334.68159375 |
transcript.pyannote[2189].end |
11335.06971875 |
transcript.pyannote[2190].speaker |
SPEAKER_00 |
transcript.pyannote[2190].start |
11337.70221875 |
transcript.pyannote[2190].end |
11340.80721875 |
transcript.pyannote[2191].speaker |
SPEAKER_17 |
transcript.pyannote[2191].start |
11341.63409375 |
transcript.pyannote[2191].end |
11342.27534375 |
transcript.pyannote[2192].speaker |
SPEAKER_00 |
transcript.pyannote[2192].start |
11342.42721875 |
transcript.pyannote[2192].end |
11344.35096875 |
transcript.pyannote[2193].speaker |
SPEAKER_17 |
transcript.pyannote[2193].start |
11344.09784375 |
transcript.pyannote[2193].end |
11348.02971875 |
transcript.pyannote[2194].speaker |
SPEAKER_17 |
transcript.pyannote[2194].start |
11348.80596875 |
transcript.pyannote[2194].end |
11362.77846875 |
transcript.pyannote[2195].speaker |
SPEAKER_00 |
transcript.pyannote[2195].start |
11363.28471875 |
transcript.pyannote[2195].end |
11364.76971875 |
transcript.pyannote[2196].speaker |
SPEAKER_17 |
transcript.pyannote[2196].start |
11365.22534375 |
transcript.pyannote[2196].end |
11368.83659375 |
transcript.pyannote[2197].speaker |
SPEAKER_00 |
transcript.pyannote[2197].start |
11369.39346875 |
transcript.pyannote[2197].end |
11369.78159375 |
transcript.pyannote[2198].speaker |
SPEAKER_17 |
transcript.pyannote[2198].start |
11369.83221875 |
transcript.pyannote[2198].end |
11377.32471875 |
transcript.pyannote[2199].speaker |
SPEAKER_00 |
transcript.pyannote[2199].start |
11370.65909375 |
transcript.pyannote[2199].end |
11375.09721875 |
transcript.pyannote[2200].speaker |
SPEAKER_00 |
transcript.pyannote[2200].start |
11375.33346875 |
transcript.pyannote[2200].end |
11375.82284375 |
transcript.pyannote[2201].speaker |
SPEAKER_00 |
transcript.pyannote[2201].start |
11376.73409375 |
transcript.pyannote[2201].end |
11384.88471875 |
transcript.pyannote[2202].speaker |
SPEAKER_17 |
transcript.pyannote[2202].start |
11382.96096875 |
transcript.pyannote[2202].end |
11386.87596875 |
transcript.pyannote[2203].speaker |
SPEAKER_17 |
transcript.pyannote[2203].start |
11387.19659375 |
transcript.pyannote[2203].end |
11392.49534375 |
transcript.pyannote[2204].speaker |
SPEAKER_17 |
transcript.pyannote[2204].start |
11392.56284375 |
transcript.pyannote[2204].end |
11401.97909375 |
transcript.pyannote[2205].speaker |
SPEAKER_00 |
transcript.pyannote[2205].start |
11401.59096875 |
transcript.pyannote[2205].end |
11404.44284375 |
transcript.pyannote[2206].speaker |
SPEAKER_17 |
transcript.pyannote[2206].start |
11403.22784375 |
transcript.pyannote[2206].end |
11403.49784375 |
transcript.pyannote[2207].speaker |
SPEAKER_17 |
transcript.pyannote[2207].start |
11404.72971875 |
transcript.pyannote[2207].end |
11405.82659375 |
transcript.pyannote[2208].speaker |
SPEAKER_17 |
transcript.pyannote[2208].start |
11406.36659375 |
transcript.pyannote[2208].end |
11409.18471875 |
transcript.pyannote[2209].speaker |
SPEAKER_00 |
transcript.pyannote[2209].start |
11407.85159375 |
transcript.pyannote[2209].end |
11412.22221875 |
transcript.pyannote[2210].speaker |
SPEAKER_17 |
transcript.pyannote[2210].start |
11410.77096875 |
transcript.pyannote[2210].end |
11414.60159375 |
transcript.pyannote[2211].speaker |
SPEAKER_17 |
transcript.pyannote[2211].start |
11414.97284375 |
transcript.pyannote[2211].end |
11416.32284375 |
transcript.pyannote[2212].speaker |
SPEAKER_17 |
transcript.pyannote[2212].start |
11416.69409375 |
transcript.pyannote[2212].end |
11420.91284375 |
transcript.pyannote[2213].speaker |
SPEAKER_00 |
transcript.pyannote[2213].start |
11419.76534375 |
transcript.pyannote[2213].end |
11420.62596875 |
transcript.pyannote[2214].speaker |
SPEAKER_00 |
transcript.pyannote[2214].start |
11421.01409375 |
transcript.pyannote[2214].end |
11422.26284375 |
transcript.pyannote[2215].speaker |
SPEAKER_00 |
transcript.pyannote[2215].start |
11422.76909375 |
transcript.pyannote[2215].end |
11423.44409375 |
transcript.pyannote[2216].speaker |
SPEAKER_00 |
transcript.pyannote[2216].start |
11423.54534375 |
transcript.pyannote[2216].end |
11426.93721875 |
transcript.pyannote[2217].speaker |
SPEAKER_00 |
transcript.pyannote[2217].start |
11427.47721875 |
transcript.pyannote[2217].end |
11431.76346875 |
transcript.pyannote[2218].speaker |
SPEAKER_17 |
transcript.pyannote[2218].start |
11431.76346875 |
transcript.pyannote[2218].end |
11450.56221875 |
transcript.pyannote[2219].speaker |
SPEAKER_00 |
transcript.pyannote[2219].start |
11450.56221875 |
transcript.pyannote[2219].end |
11453.49846875 |
transcript.pyannote[2220].speaker |
SPEAKER_17 |
transcript.pyannote[2220].start |
11450.57909375 |
transcript.pyannote[2220].end |
11450.59596875 |
transcript.pyannote[2221].speaker |
SPEAKER_17 |
transcript.pyannote[2221].start |
11453.93721875 |
transcript.pyannote[2221].end |
11468.71971875 |
transcript.pyannote[2222].speaker |
SPEAKER_00 |
transcript.pyannote[2222].start |
11469.42846875 |
transcript.pyannote[2222].end |
11472.16221875 |
transcript.pyannote[2223].speaker |
SPEAKER_17 |
transcript.pyannote[2223].start |
11472.60096875 |
transcript.pyannote[2223].end |
11474.32221875 |
transcript.pyannote[2224].speaker |
SPEAKER_00 |
transcript.pyannote[2224].start |
11472.60096875 |
transcript.pyannote[2224].end |
11474.87909375 |
transcript.pyannote[2225].speaker |
SPEAKER_17 |
transcript.pyannote[2225].start |
11474.87909375 |
transcript.pyannote[2225].end |
11476.00971875 |
transcript.pyannote[2226].speaker |
SPEAKER_00 |
transcript.pyannote[2226].start |
11475.35159375 |
transcript.pyannote[2226].end |
11491.19721875 |
transcript.pyannote[2227].speaker |
SPEAKER_13 |
transcript.pyannote[2227].start |
11485.00409375 |
transcript.pyannote[2227].end |
11485.02096875 |
transcript.pyannote[2228].speaker |
SPEAKER_17 |
transcript.pyannote[2228].start |
11485.02096875 |
transcript.pyannote[2228].end |
11485.62846875 |
transcript.pyannote[2229].speaker |
SPEAKER_17 |
transcript.pyannote[2229].start |
11486.06721875 |
transcript.pyannote[2229].end |
11486.16846875 |
transcript.pyannote[2230].speaker |
SPEAKER_17 |
transcript.pyannote[2230].start |
11486.53971875 |
transcript.pyannote[2230].end |
11487.16409375 |
transcript.pyannote[2231].speaker |
SPEAKER_00 |
transcript.pyannote[2231].start |
11491.53471875 |
transcript.pyannote[2231].end |
11492.29409375 |
transcript.pyannote[2232].speaker |
SPEAKER_17 |
transcript.pyannote[2232].start |
11491.61909375 |
transcript.pyannote[2232].end |
11492.22659375 |
transcript.pyannote[2233].speaker |
SPEAKER_17 |
transcript.pyannote[2233].start |
11492.47971875 |
transcript.pyannote[2233].end |
11499.65159375 |
transcript.pyannote[2234].speaker |
SPEAKER_17 |
transcript.pyannote[2234].start |
11500.09034375 |
transcript.pyannote[2234].end |
11500.69784375 |
transcript.pyannote[2235].speaker |
SPEAKER_00 |
transcript.pyannote[2235].start |
11500.83284375 |
transcript.pyannote[2235].end |
11501.84534375 |
transcript.pyannote[2236].speaker |
SPEAKER_00 |
transcript.pyannote[2236].start |
11503.00971875 |
transcript.pyannote[2236].end |
11503.53284375 |
transcript.pyannote[2237].speaker |
SPEAKER_00 |
transcript.pyannote[2237].start |
11504.14034375 |
transcript.pyannote[2237].end |
11505.43971875 |
transcript.pyannote[2238].speaker |
SPEAKER_00 |
transcript.pyannote[2238].start |
11506.18221875 |
transcript.pyannote[2238].end |
11509.86096875 |
transcript.pyannote[2239].speaker |
SPEAKER_00 |
transcript.pyannote[2239].start |
11510.68784375 |
transcript.pyannote[2239].end |
11512.42596875 |
transcript.pyannote[2240].speaker |
SPEAKER_00 |
transcript.pyannote[2240].start |
11512.54409375 |
transcript.pyannote[2240].end |
11516.37471875 |
transcript.pyannote[2241].speaker |
SPEAKER_14 |
transcript.pyannote[2241].start |
11512.56096875 |
transcript.pyannote[2241].end |
11512.57784375 |
transcript.pyannote[2242].speaker |
SPEAKER_13 |
transcript.pyannote[2242].start |
11512.57784375 |
transcript.pyannote[2242].end |
11512.98284375 |
transcript.pyannote[2243].speaker |
SPEAKER_14 |
transcript.pyannote[2243].start |
11512.98284375 |
transcript.pyannote[2243].end |
11512.99971875 |
transcript.pyannote[2244].speaker |
SPEAKER_00 |
transcript.pyannote[2244].start |
11516.94846875 |
transcript.pyannote[2244].end |
11518.02846875 |
transcript.pyannote[2245].speaker |
SPEAKER_00 |
transcript.pyannote[2245].start |
11518.58534375 |
transcript.pyannote[2245].end |
11521.84221875 |
transcript.pyannote[2246].speaker |
SPEAKER_00 |
transcript.pyannote[2246].start |
11523.15846875 |
transcript.pyannote[2246].end |
11525.47034375 |
transcript.pyannote[2247].speaker |
SPEAKER_00 |
transcript.pyannote[2247].start |
11526.12846875 |
transcript.pyannote[2247].end |
11526.56721875 |
transcript.pyannote[2248].speaker |
SPEAKER_00 |
transcript.pyannote[2248].start |
11527.20846875 |
transcript.pyannote[2248].end |
11528.42346875 |
transcript.pyannote[2249].speaker |
SPEAKER_00 |
transcript.pyannote[2249].start |
11529.77346875 |
transcript.pyannote[2249].end |
11532.10221875 |
transcript.pyannote[2250].speaker |
SPEAKER_00 |
transcript.pyannote[2250].start |
11532.79409375 |
transcript.pyannote[2250].end |
11535.12284375 |
transcript.pyannote[2251].speaker |
SPEAKER_00 |
transcript.pyannote[2251].start |
11535.73034375 |
transcript.pyannote[2251].end |
11541.33284375 |
transcript.pyannote[2252].speaker |
SPEAKER_00 |
transcript.pyannote[2252].start |
11541.85596875 |
transcript.pyannote[2252].end |
11552.23409375 |
transcript.pyannote[2253].speaker |
SPEAKER_00 |
transcript.pyannote[2253].start |
11552.85846875 |
transcript.pyannote[2253].end |
11555.40659375 |
transcript.pyannote[2254].speaker |
SPEAKER_00 |
transcript.pyannote[2254].start |
11556.25034375 |
transcript.pyannote[2254].end |
11557.38096875 |
transcript.pyannote[2255].speaker |
SPEAKER_00 |
transcript.pyannote[2255].start |
11557.95471875 |
transcript.pyannote[2255].end |
11570.12159375 |
transcript.pyannote[2256].speaker |
SPEAKER_13 |
transcript.pyannote[2256].start |
11560.80659375 |
transcript.pyannote[2256].end |
11561.41409375 |
transcript.pyannote[2257].speaker |
SPEAKER_01 |
transcript.pyannote[2257].start |
11561.41409375 |
transcript.pyannote[2257].end |
11561.49846875 |
transcript.pyannote[2258].speaker |
SPEAKER_00 |
transcript.pyannote[2258].start |
11571.33659375 |
transcript.pyannote[2258].end |
11575.69034375 |
transcript.pyannote[2259].speaker |
SPEAKER_00 |
transcript.pyannote[2259].start |
11576.28096875 |
transcript.pyannote[2259].end |
11577.63096875 |
transcript.pyannote[2260].speaker |
SPEAKER_00 |
transcript.pyannote[2260].start |
11578.23846875 |
transcript.pyannote[2260].end |
11579.47034375 |
transcript.pyannote[2261].speaker |
SPEAKER_00 |
transcript.pyannote[2261].start |
11580.07784375 |
transcript.pyannote[2261].end |
11586.57471875 |
transcript.pyannote[2262].speaker |
SPEAKER_00 |
transcript.pyannote[2262].start |
11586.77721875 |
transcript.pyannote[2262].end |
11588.51534375 |
transcript.pyannote[2263].speaker |
SPEAKER_00 |
transcript.pyannote[2263].start |
11588.95409375 |
transcript.pyannote[2263].end |
11593.32471875 |
transcript.pyannote[2264].speaker |
SPEAKER_00 |
transcript.pyannote[2264].start |
11594.30346875 |
transcript.pyannote[2264].end |
11595.48471875 |
transcript.pyannote[2265].speaker |
SPEAKER_00 |
transcript.pyannote[2265].start |
11595.78846875 |
transcript.pyannote[2265].end |
11596.78409375 |
transcript.pyannote[2266].speaker |
SPEAKER_00 |
transcript.pyannote[2266].start |
11596.86846875 |
transcript.pyannote[2266].end |
11597.71221875 |
transcript.pyannote[2267].speaker |
SPEAKER_00 |
transcript.pyannote[2267].start |
11598.45471875 |
transcript.pyannote[2267].end |
11604.42846875 |
transcript.pyannote[2268].speaker |
SPEAKER_00 |
transcript.pyannote[2268].start |
11604.68159375 |
transcript.pyannote[2268].end |
11605.50846875 |
transcript.pyannote[2269].speaker |
SPEAKER_00 |
transcript.pyannote[2269].start |
11605.77846875 |
transcript.pyannote[2269].end |
11607.09471875 |
transcript.pyannote[2270].speaker |
SPEAKER_00 |
transcript.pyannote[2270].start |
11607.38159375 |
transcript.pyannote[2270].end |
11608.96784375 |
transcript.pyannote[2271].speaker |
SPEAKER_17 |
transcript.pyannote[2271].start |
11609.67659375 |
transcript.pyannote[2271].end |
11610.43596875 |
transcript.pyannote[2272].speaker |
SPEAKER_17 |
transcript.pyannote[2272].start |
11610.95909375 |
transcript.pyannote[2272].end |
11615.49846875 |
transcript.pyannote[2273].speaker |
SPEAKER_00 |
transcript.pyannote[2273].start |
11615.36346875 |
transcript.pyannote[2273].end |
11616.03846875 |
transcript.pyannote[2274].speaker |
SPEAKER_17 |
transcript.pyannote[2274].start |
11616.29159375 |
transcript.pyannote[2274].end |
11619.80159375 |
transcript.pyannote[2275].speaker |
SPEAKER_17 |
transcript.pyannote[2275].start |
11620.22346875 |
transcript.pyannote[2275].end |
11630.73659375 |
transcript.pyannote[2276].speaker |
SPEAKER_00 |
transcript.pyannote[2276].start |
11629.74096875 |
transcript.pyannote[2276].end |
11632.22159375 |
transcript.pyannote[2277].speaker |
SPEAKER_17 |
transcript.pyannote[2277].start |
11631.36096875 |
transcript.pyannote[2277].end |
11635.66409375 |
transcript.pyannote[2278].speaker |
SPEAKER_00 |
transcript.pyannote[2278].start |
11634.26346875 |
transcript.pyannote[2278].end |
11638.95471875 |
transcript.pyannote[2279].speaker |
SPEAKER_17 |
transcript.pyannote[2279].start |
11637.50346875 |
transcript.pyannote[2279].end |
11638.41471875 |
transcript.pyannote[2280].speaker |
SPEAKER_17 |
transcript.pyannote[2280].start |
11638.85346875 |
transcript.pyannote[2280].end |
11647.29096875 |
transcript.pyannote[2281].speaker |
SPEAKER_00 |
transcript.pyannote[2281].start |
11647.51034375 |
transcript.pyannote[2281].end |
11649.51846875 |
transcript.pyannote[2282].speaker |
SPEAKER_00 |
transcript.pyannote[2282].start |
11649.87284375 |
transcript.pyannote[2282].end |
11650.15971875 |
transcript.pyannote[2283].speaker |
SPEAKER_00 |
transcript.pyannote[2283].start |
11650.85159375 |
transcript.pyannote[2283].end |
11653.39971875 |
transcript.pyannote[2284].speaker |
SPEAKER_00 |
transcript.pyannote[2284].start |
11654.10846875 |
transcript.pyannote[2284].end |
11654.91846875 |
transcript.pyannote[2285].speaker |
SPEAKER_00 |
transcript.pyannote[2285].start |
11655.37409375 |
transcript.pyannote[2285].end |
11659.74471875 |
transcript.pyannote[2286].speaker |
SPEAKER_17 |
transcript.pyannote[2286].start |
11660.52096875 |
transcript.pyannote[2286].end |
11665.68471875 |
transcript.pyannote[2287].speaker |
SPEAKER_00 |
transcript.pyannote[2287].start |
11663.57534375 |
transcript.pyannote[2287].end |
11672.18159375 |
transcript.pyannote[2288].speaker |
SPEAKER_17 |
transcript.pyannote[2288].start |
11672.58659375 |
transcript.pyannote[2288].end |
11676.61971875 |
transcript.pyannote[2289].speaker |
SPEAKER_00 |
transcript.pyannote[2289].start |
11673.07596875 |
transcript.pyannote[2289].end |
11674.34159375 |
transcript.pyannote[2290].speaker |
SPEAKER_00 |
transcript.pyannote[2290].start |
11677.22721875 |
transcript.pyannote[2290].end |
11682.44159375 |
transcript.pyannote[2291].speaker |
SPEAKER_17 |
transcript.pyannote[2291].start |
11679.23534375 |
transcript.pyannote[2291].end |
11679.70784375 |
transcript.pyannote[2292].speaker |
SPEAKER_17 |
transcript.pyannote[2292].start |
11681.98596875 |
transcript.pyannote[2292].end |
11684.50034375 |
transcript.pyannote[2293].speaker |
SPEAKER_17 |
transcript.pyannote[2293].start |
11684.97284375 |
transcript.pyannote[2293].end |
11687.97659375 |
transcript.pyannote[2294].speaker |
SPEAKER_00 |
transcript.pyannote[2294].start |
11687.35221875 |
transcript.pyannote[2294].end |
11696.58284375 |
transcript.pyannote[2295].speaker |
SPEAKER_17 |
transcript.pyannote[2295].start |
11690.52471875 |
transcript.pyannote[2295].end |
11691.63846875 |
transcript.pyannote[2296].speaker |
SPEAKER_17 |
transcript.pyannote[2296].start |
11693.03909375 |
transcript.pyannote[2296].end |
11693.93346875 |
transcript.pyannote[2297].speaker |
SPEAKER_17 |
transcript.pyannote[2297].start |
11695.46909375 |
transcript.pyannote[2297].end |
11695.78971875 |
transcript.pyannote[2298].speaker |
SPEAKER_17 |
transcript.pyannote[2298].start |
11696.58284375 |
transcript.pyannote[2298].end |
11705.05409375 |
transcript.pyannote[2299].speaker |
SPEAKER_00 |
transcript.pyannote[2299].start |
11700.80159375 |
transcript.pyannote[2299].end |
11701.49346875 |
transcript.pyannote[2300].speaker |
SPEAKER_00 |
transcript.pyannote[2300].start |
11705.42534375 |
transcript.pyannote[2300].end |
11724.51096875 |
transcript.pyannote[2301].speaker |
SPEAKER_17 |
transcript.pyannote[2301].start |
11705.71221875 |
transcript.pyannote[2301].end |
11708.64846875 |
transcript.pyannote[2302].speaker |
SPEAKER_00 |
transcript.pyannote[2302].start |
11724.59534375 |
transcript.pyannote[2302].end |
11731.81784375 |
transcript.pyannote[2303].speaker |
SPEAKER_00 |
transcript.pyannote[2303].start |
11732.23971875 |
transcript.pyannote[2303].end |
11738.29784375 |
transcript.pyannote[2304].speaker |
SPEAKER_00 |
transcript.pyannote[2304].start |
11738.51721875 |
transcript.pyannote[2304].end |
11750.00909375 |
transcript.pyannote[2305].speaker |
SPEAKER_20 |
transcript.pyannote[2305].start |
11739.41159375 |
transcript.pyannote[2305].end |
11741.97659375 |
transcript.pyannote[2306].speaker |
SPEAKER_01 |
transcript.pyannote[2306].start |
11741.97659375 |
transcript.pyannote[2306].end |
11742.33096875 |
transcript.pyannote[2307].speaker |
SPEAKER_00 |
transcript.pyannote[2307].start |
11750.12721875 |
transcript.pyannote[2307].end |
11753.40096875 |
transcript.pyannote[2308].speaker |
SPEAKER_00 |
transcript.pyannote[2308].start |
11753.65409375 |
transcript.pyannote[2308].end |
11757.09659375 |
transcript.pyannote[2309].speaker |
SPEAKER_00 |
transcript.pyannote[2309].start |
11757.92346875 |
transcript.pyannote[2309].end |
11759.62784375 |
transcript.pyannote[2310].speaker |
SPEAKER_17 |
transcript.pyannote[2310].start |
11760.37034375 |
transcript.pyannote[2310].end |
11766.07409375 |
transcript.pyannote[2311].speaker |
SPEAKER_00 |
transcript.pyannote[2311].start |
11760.77534375 |
transcript.pyannote[2311].end |
11761.80471875 |
transcript.pyannote[2312].speaker |
SPEAKER_00 |
transcript.pyannote[2312].start |
11765.17971875 |
transcript.pyannote[2312].end |
11787.30284375 |
transcript.pyannote[2313].speaker |
SPEAKER_17 |
transcript.pyannote[2313].start |
11767.37346875 |
transcript.pyannote[2313].end |
11770.96784375 |
transcript.pyannote[2314].speaker |
SPEAKER_17 |
transcript.pyannote[2314].start |
11772.06471875 |
transcript.pyannote[2314].end |
11773.80284375 |
transcript.pyannote[2315].speaker |
SPEAKER_06 |
transcript.pyannote[2315].start |
11773.80284375 |
transcript.pyannote[2315].end |
11773.83659375 |
transcript.pyannote[2316].speaker |
SPEAKER_00 |
transcript.pyannote[2316].start |
11787.43784375 |
transcript.pyannote[2316].end |
11796.14534375 |
transcript.pyannote[2317].speaker |
SPEAKER_00 |
transcript.pyannote[2317].start |
11796.78659375 |
transcript.pyannote[2317].end |
11798.52471875 |
transcript.pyannote[2318].speaker |
SPEAKER_00 |
transcript.pyannote[2318].start |
11799.06471875 |
transcript.pyannote[2318].end |
11804.31284375 |
transcript.pyannote[2319].speaker |
SPEAKER_00 |
transcript.pyannote[2319].start |
11804.63346875 |
transcript.pyannote[2319].end |
11806.70909375 |
transcript.pyannote[2320].speaker |
SPEAKER_00 |
transcript.pyannote[2320].start |
11807.41784375 |
transcript.pyannote[2320].end |
11808.64971875 |
transcript.pyannote[2321].speaker |
SPEAKER_00 |
transcript.pyannote[2321].start |
11808.97034375 |
transcript.pyannote[2321].end |
11813.57721875 |
transcript.pyannote[2322].speaker |
SPEAKER_00 |
transcript.pyannote[2322].start |
11813.91471875 |
transcript.pyannote[2322].end |
11815.97346875 |
transcript.pyannote[2323].speaker |
SPEAKER_00 |
transcript.pyannote[2323].start |
11816.44596875 |
transcript.pyannote[2323].end |
11817.23909375 |
transcript.pyannote[2324].speaker |
SPEAKER_17 |
transcript.pyannote[2324].start |
11817.47534375 |
transcript.pyannote[2324].end |
11818.06596875 |
transcript.pyannote[2325].speaker |
SPEAKER_00 |
transcript.pyannote[2325].start |
11818.47096875 |
transcript.pyannote[2325].end |
11819.28096875 |
transcript.pyannote[2326].speaker |
SPEAKER_00 |
transcript.pyannote[2326].start |
11819.61846875 |
transcript.pyannote[2326].end |
11820.78284375 |
transcript.pyannote[2327].speaker |
SPEAKER_00 |
transcript.pyannote[2327].start |
11821.40721875 |
transcript.pyannote[2327].end |
11824.20846875 |
transcript.pyannote[2328].speaker |
SPEAKER_00 |
transcript.pyannote[2328].start |
11824.49534375 |
transcript.pyannote[2328].end |
11827.14471875 |
transcript.pyannote[2329].speaker |
SPEAKER_00 |
transcript.pyannote[2329].start |
11827.73534375 |
transcript.pyannote[2329].end |
11832.59534375 |
transcript.pyannote[2330].speaker |
SPEAKER_00 |
transcript.pyannote[2330].start |
11833.64159375 |
transcript.pyannote[2330].end |
11837.30346875 |
transcript.pyannote[2331].speaker |
SPEAKER_00 |
transcript.pyannote[2331].start |
11837.74221875 |
transcript.pyannote[2331].end |
11840.61096875 |
transcript.pyannote[2332].speaker |
SPEAKER_13 |
transcript.pyannote[2332].start |
11840.61096875 |
transcript.pyannote[2332].end |
11840.93159375 |
transcript.pyannote[2333].speaker |
SPEAKER_00 |
transcript.pyannote[2333].start |
11841.64034375 |
transcript.pyannote[2333].end |
11846.98971875 |
transcript.pyannote[2334].speaker |
SPEAKER_00 |
transcript.pyannote[2334].start |
11847.12471875 |
transcript.pyannote[2334].end |
11860.30409375 |
transcript.pyannote[2335].speaker |
SPEAKER_13 |
transcript.pyannote[2335].start |
11855.10659375 |
transcript.pyannote[2335].end |
11855.19096875 |
transcript.pyannote[2336].speaker |
SPEAKER_13 |
transcript.pyannote[2336].start |
11855.24159375 |
transcript.pyannote[2336].end |
11855.44409375 |
transcript.pyannote[2337].speaker |
SPEAKER_00 |
transcript.pyannote[2337].start |
11860.92846875 |
transcript.pyannote[2337].end |
11862.53159375 |
transcript.pyannote[2338].speaker |
SPEAKER_00 |
transcript.pyannote[2338].start |
11863.05471875 |
transcript.pyannote[2338].end |
11869.16346875 |
transcript.pyannote[2339].speaker |
SPEAKER_00 |
transcript.pyannote[2339].start |
11869.36596875 |
transcript.pyannote[2339].end |
11872.94346875 |
transcript.pyannote[2340].speaker |
SPEAKER_00 |
transcript.pyannote[2340].start |
11873.80409375 |
transcript.pyannote[2340].end |
11876.62221875 |
transcript.pyannote[2341].speaker |
SPEAKER_00 |
transcript.pyannote[2341].start |
11876.89221875 |
transcript.pyannote[2341].end |
11880.14909375 |
transcript.pyannote[2342].speaker |
SPEAKER_00 |
transcript.pyannote[2342].start |
11880.26721875 |
transcript.pyannote[2342].end |
11880.28409375 |
transcript.pyannote[2343].speaker |
SPEAKER_04 |
transcript.pyannote[2343].start |
11880.28409375 |
transcript.pyannote[2343].end |
11881.36409375 |
transcript.pyannote[2344].speaker |
SPEAKER_04 |
transcript.pyannote[2344].start |
11881.95471875 |
transcript.pyannote[2344].end |
11886.05534375 |
transcript.pyannote[2345].speaker |
SPEAKER_19 |
transcript.pyannote[2345].start |
11893.31159375 |
transcript.pyannote[2345].end |
11897.02409375 |
transcript.pyannote[2346].speaker |
SPEAKER_17 |
transcript.pyannote[2346].start |
11903.41971875 |
transcript.pyannote[2346].end |
11903.45346875 |
transcript.pyannote[2347].speaker |
SPEAKER_19 |
transcript.pyannote[2347].start |
11903.45346875 |
transcript.pyannote[2347].end |
11903.85846875 |
transcript.pyannote[2348].speaker |
SPEAKER_19 |
transcript.pyannote[2348].start |
11904.07784375 |
transcript.pyannote[2348].end |
11930.84159375 |
transcript.pyannote[2349].speaker |
SPEAKER_17 |
transcript.pyannote[2349].start |
11930.84159375 |
transcript.pyannote[2349].end |
11932.30971875 |
transcript.pyannote[2350].speaker |
SPEAKER_17 |
transcript.pyannote[2350].start |
11932.52909375 |
transcript.pyannote[2350].end |
11935.56659375 |
transcript.pyannote[2351].speaker |
SPEAKER_17 |
transcript.pyannote[2351].start |
11936.19096875 |
transcript.pyannote[2351].end |
11948.66159375 |
transcript.pyannote[2352].speaker |
SPEAKER_19 |
transcript.pyannote[2352].start |
11948.66159375 |
transcript.pyannote[2352].end |
11950.68659375 |
transcript.pyannote[2353].speaker |
SPEAKER_17 |
transcript.pyannote[2353].start |
11948.86409375 |
transcript.pyannote[2353].end |
11949.35346875 |
transcript.pyannote[2354].speaker |
SPEAKER_17 |
transcript.pyannote[2354].start |
11950.33221875 |
transcript.pyannote[2354].end |
11957.41971875 |
transcript.pyannote[2355].speaker |
SPEAKER_19 |
transcript.pyannote[2355].start |
11958.12846875 |
transcript.pyannote[2355].end |
11964.37221875 |
transcript.pyannote[2356].speaker |
SPEAKER_17 |
transcript.pyannote[2356].start |
11964.15284375 |
transcript.pyannote[2356].end |
11968.40534375 |
transcript.pyannote[2357].speaker |
SPEAKER_17 |
transcript.pyannote[2357].start |
11968.74284375 |
transcript.pyannote[2357].end |
11977.72034375 |
transcript.pyannote[2358].speaker |
SPEAKER_19 |
transcript.pyannote[2358].start |
11973.02909375 |
transcript.pyannote[2358].end |
11973.61971875 |
transcript.pyannote[2359].speaker |
SPEAKER_19 |
transcript.pyannote[2359].start |
11976.31971875 |
transcript.pyannote[2359].end |
11976.75846875 |
transcript.pyannote[2360].speaker |
SPEAKER_19 |
transcript.pyannote[2360].start |
11977.85534375 |
transcript.pyannote[2360].end |
11981.53409375 |
transcript.pyannote[2361].speaker |
SPEAKER_17 |
transcript.pyannote[2361].start |
11981.53409375 |
transcript.pyannote[2361].end |
11982.51284375 |
transcript.pyannote[2362].speaker |
SPEAKER_17 |
transcript.pyannote[2362].start |
11982.58034375 |
transcript.pyannote[2362].end |
11990.88284375 |
transcript.pyannote[2363].speaker |
SPEAKER_19 |
transcript.pyannote[2363].start |
11991.08534375 |
transcript.pyannote[2363].end |
11992.99221875 |
transcript.pyannote[2364].speaker |
SPEAKER_17 |
transcript.pyannote[2364].start |
11992.68846875 |
transcript.pyannote[2364].end |
11995.15221875 |
transcript.pyannote[2365].speaker |
SPEAKER_19 |
transcript.pyannote[2365].start |
11995.15221875 |
transcript.pyannote[2365].end |
11997.09284375 |
transcript.pyannote[2366].speaker |
SPEAKER_17 |
transcript.pyannote[2366].start |
11997.54846875 |
transcript.pyannote[2366].end |
11997.93659375 |
transcript.pyannote[2367].speaker |
SPEAKER_19 |
transcript.pyannote[2367].start |
11997.93659375 |
transcript.pyannote[2367].end |
12003.08346875 |
transcript.pyannote[2368].speaker |
SPEAKER_17 |
transcript.pyannote[2368].start |
11999.25284375 |
transcript.pyannote[2368].end |
12007.21784375 |
transcript.pyannote[2369].speaker |
SPEAKER_19 |
transcript.pyannote[2369].start |
12006.59346875 |
transcript.pyannote[2369].end |
12009.19221875 |
transcript.pyannote[2370].speaker |
SPEAKER_17 |
transcript.pyannote[2370].start |
12009.86721875 |
transcript.pyannote[2370].end |
12010.52534375 |
transcript.pyannote[2371].speaker |
SPEAKER_17 |
transcript.pyannote[2371].start |
12011.20034375 |
transcript.pyannote[2371].end |
12011.82471875 |
transcript.pyannote[2372].speaker |
SPEAKER_17 |
transcript.pyannote[2372].start |
12014.25471875 |
transcript.pyannote[2372].end |
12015.55409375 |
transcript.pyannote[2373].speaker |
SPEAKER_19 |
transcript.pyannote[2373].start |
12015.55409375 |
transcript.pyannote[2373].end |
12016.87034375 |
transcript.pyannote[2374].speaker |
SPEAKER_17 |
transcript.pyannote[2374].start |
12015.94221875 |
transcript.pyannote[2374].end |
12016.92096875 |
transcript.pyannote[2375].speaker |
SPEAKER_19 |
transcript.pyannote[2375].start |
12017.07284375 |
transcript.pyannote[2375].end |
12070.63409375 |
transcript.pyannote[2376].speaker |
SPEAKER_17 |
transcript.pyannote[2376].start |
12069.70596875 |
transcript.pyannote[2376].end |
12079.12221875 |
transcript.pyannote[2377].speaker |
SPEAKER_17 |
transcript.pyannote[2377].start |
12079.47659375 |
transcript.pyannote[2377].end |
12082.63221875 |
transcript.pyannote[2378].speaker |
SPEAKER_17 |
transcript.pyannote[2378].start |
12082.75034375 |
transcript.pyannote[2378].end |
12090.32721875 |
transcript.pyannote[2379].speaker |
SPEAKER_17 |
transcript.pyannote[2379].start |
12090.56346875 |
transcript.pyannote[2379].end |
12096.97596875 |
transcript.pyannote[2380].speaker |
SPEAKER_19 |
transcript.pyannote[2380].start |
12096.67221875 |
transcript.pyannote[2380].end |
12097.73534375 |
transcript.pyannote[2381].speaker |
SPEAKER_17 |
transcript.pyannote[2381].start |
12098.76471875 |
transcript.pyannote[2381].end |
12099.30471875 |
transcript.pyannote[2382].speaker |
SPEAKER_17 |
transcript.pyannote[2382].start |
12099.99659375 |
transcript.pyannote[2382].end |
12101.90346875 |
transcript.pyannote[2383].speaker |
SPEAKER_19 |
transcript.pyannote[2383].start |
12102.12284375 |
transcript.pyannote[2383].end |
12137.22284375 |
transcript.pyannote[2384].speaker |
SPEAKER_17 |
transcript.pyannote[2384].start |
12106.76346875 |
transcript.pyannote[2384].end |
12107.43846875 |
transcript.pyannote[2385].speaker |
SPEAKER_00 |
transcript.pyannote[2385].start |
12107.43846875 |
transcript.pyannote[2385].end |
12107.50596875 |
transcript.pyannote[2386].speaker |
SPEAKER_17 |
transcript.pyannote[2386].start |
12107.82659375 |
transcript.pyannote[2386].end |
12109.53096875 |
transcript.pyannote[2387].speaker |
SPEAKER_00 |
transcript.pyannote[2387].start |
12109.53096875 |
transcript.pyannote[2387].end |
12109.61534375 |
transcript.pyannote[2388].speaker |
SPEAKER_00 |
transcript.pyannote[2388].start |
12110.45909375 |
transcript.pyannote[2388].end |
12110.56034375 |
transcript.pyannote[2389].speaker |
SPEAKER_17 |
transcript.pyannote[2389].start |
12110.56034375 |
transcript.pyannote[2389].end |
12110.96534375 |
transcript.pyannote[2390].speaker |
SPEAKER_00 |
transcript.pyannote[2390].start |
12110.96534375 |
transcript.pyannote[2390].end |
12111.13409375 |
transcript.pyannote[2391].speaker |
SPEAKER_17 |
transcript.pyannote[2391].start |
12136.93596875 |
transcript.pyannote[2391].end |
12142.57221875 |
transcript.pyannote[2392].speaker |
SPEAKER_19 |
transcript.pyannote[2392].start |
12139.33221875 |
transcript.pyannote[2392].end |
12139.38284375 |
transcript.pyannote[2393].speaker |
SPEAKER_19 |
transcript.pyannote[2393].start |
12140.90159375 |
transcript.pyannote[2393].end |
12153.77721875 |
transcript.pyannote[2394].speaker |
SPEAKER_17 |
transcript.pyannote[2394].start |
12143.26409375 |
transcript.pyannote[2394].end |
12143.58471875 |
transcript.pyannote[2395].speaker |
SPEAKER_17 |
transcript.pyannote[2395].start |
12146.68971875 |
transcript.pyannote[2395].end |
12147.07784375 |
transcript.pyannote[2396].speaker |
SPEAKER_19 |
transcript.pyannote[2396].start |
12153.96284375 |
transcript.pyannote[2396].end |
12192.16784375 |
transcript.pyannote[2397].speaker |
SPEAKER_17 |
transcript.pyannote[2397].start |
12191.54346875 |
transcript.pyannote[2397].end |
12191.56034375 |
transcript.pyannote[2398].speaker |
SPEAKER_17 |
transcript.pyannote[2398].start |
12191.59409375 |
transcript.pyannote[2398].end |
12197.14596875 |
transcript.pyannote[2399].speaker |
SPEAKER_17 |
transcript.pyannote[2399].start |
12197.63534375 |
transcript.pyannote[2399].end |
12205.17846875 |
transcript.pyannote[2400].speaker |
SPEAKER_13 |
transcript.pyannote[2400].start |
12201.11159375 |
transcript.pyannote[2400].end |
12201.55034375 |
transcript.pyannote[2401].speaker |
SPEAKER_00 |
transcript.pyannote[2401].start |
12201.55034375 |
transcript.pyannote[2401].end |
12201.56721875 |
transcript.pyannote[2402].speaker |
SPEAKER_14 |
transcript.pyannote[2402].start |
12202.49534375 |
transcript.pyannote[2402].end |
12202.84971875 |
transcript.pyannote[2403].speaker |
SPEAKER_13 |
transcript.pyannote[2403].start |
12202.84971875 |
transcript.pyannote[2403].end |
12202.91721875 |
transcript.pyannote[2404].speaker |
SPEAKER_17 |
transcript.pyannote[2404].start |
12205.39784375 |
transcript.pyannote[2404].end |
12212.41784375 |
transcript.pyannote[2405].speaker |
SPEAKER_14 |
transcript.pyannote[2405].start |
12209.68409375 |
transcript.pyannote[2405].end |
12210.24096875 |
transcript.pyannote[2406].speaker |
SPEAKER_17 |
transcript.pyannote[2406].start |
12212.46846875 |
transcript.pyannote[2406].end |
12212.50221875 |
transcript.pyannote[2407].speaker |
SPEAKER_17 |
transcript.pyannote[2407].start |
12212.60346875 |
transcript.pyannote[2407].end |
12220.75409375 |
transcript.pyannote[2408].speaker |
SPEAKER_17 |
transcript.pyannote[2408].start |
12221.12534375 |
transcript.pyannote[2408].end |
12223.25159375 |
transcript.pyannote[2409].speaker |
SPEAKER_17 |
transcript.pyannote[2409].start |
12223.55534375 |
transcript.pyannote[2409].end |
12239.48534375 |
transcript.pyannote[2410].speaker |
SPEAKER_19 |
transcript.pyannote[2410].start |
12234.35534375 |
transcript.pyannote[2410].end |
12234.38909375 |
transcript.pyannote[2411].speaker |
SPEAKER_19 |
transcript.pyannote[2411].start |
12239.99159375 |
transcript.pyannote[2411].end |
12260.51159375 |
transcript.pyannote[2412].speaker |
SPEAKER_17 |
transcript.pyannote[2412].start |
12250.13346875 |
transcript.pyannote[2412].end |
12252.12471875 |
transcript.pyannote[2413].speaker |
SPEAKER_17 |
transcript.pyannote[2413].start |
12253.37346875 |
transcript.pyannote[2413].end |
12253.86284375 |
transcript.pyannote[2414].speaker |
SPEAKER_19 |
transcript.pyannote[2414].start |
12260.96721875 |
transcript.pyannote[2414].end |
12262.24971875 |
transcript.pyannote[2415].speaker |
SPEAKER_17 |
transcript.pyannote[2415].start |
12262.35096875 |
transcript.pyannote[2415].end |
12278.24721875 |
transcript.pyannote[2416].speaker |
SPEAKER_19 |
transcript.pyannote[2416].start |
12268.17284375 |
transcript.pyannote[2416].end |
12268.74659375 |
transcript.pyannote[2417].speaker |
SPEAKER_00 |
transcript.pyannote[2417].start |
12268.74659375 |
transcript.pyannote[2417].end |
12268.78034375 |
transcript.pyannote[2418].speaker |
SPEAKER_19 |
transcript.pyannote[2418].start |
12269.45534375 |
transcript.pyannote[2418].end |
12269.64096875 |
transcript.pyannote[2419].speaker |
SPEAKER_19 |
transcript.pyannote[2419].start |
12278.24721875 |
transcript.pyannote[2419].end |
12288.82784375 |
transcript.pyannote[2420].speaker |
SPEAKER_17 |
transcript.pyannote[2420].start |
12279.85034375 |
transcript.pyannote[2420].end |
12280.25534375 |
transcript.pyannote[2421].speaker |
SPEAKER_17 |
transcript.pyannote[2421].start |
12281.26784375 |
transcript.pyannote[2421].end |
12281.57159375 |
transcript.pyannote[2422].speaker |
SPEAKER_17 |
transcript.pyannote[2422].start |
12288.01784375 |
transcript.pyannote[2422].end |
12301.28159375 |
transcript.pyannote[2423].speaker |
SPEAKER_19 |
transcript.pyannote[2423].start |
12289.18221875 |
transcript.pyannote[2423].end |
12292.72596875 |
transcript.pyannote[2424].speaker |
SPEAKER_19 |
transcript.pyannote[2424].start |
12299.03721875 |
transcript.pyannote[2424].end |
12300.55596875 |
transcript.pyannote[2425].speaker |
SPEAKER_19 |
transcript.pyannote[2425].start |
12301.28159375 |
transcript.pyannote[2425].end |
12301.50096875 |
transcript.pyannote[2426].speaker |
SPEAKER_17 |
transcript.pyannote[2426].start |
12301.39971875 |
transcript.pyannote[2426].end |
12302.96909375 |
transcript.pyannote[2427].speaker |
SPEAKER_19 |
transcript.pyannote[2427].start |
12301.75409375 |
transcript.pyannote[2427].end |
12310.79909375 |
transcript.pyannote[2428].speaker |
SPEAKER_17 |
transcript.pyannote[2428].start |
12310.03971875 |
transcript.pyannote[2428].end |
12313.51596875 |
transcript.pyannote[2429].speaker |
SPEAKER_19 |
transcript.pyannote[2429].start |
12313.26284375 |
transcript.pyannote[2429].end |
12313.43159375 |
transcript.pyannote[2430].speaker |
SPEAKER_19 |
transcript.pyannote[2430].start |
12313.48221875 |
transcript.pyannote[2430].end |
12400.96221875 |
transcript.pyannote[2431].speaker |
SPEAKER_17 |
transcript.pyannote[2431].start |
12401.16471875 |
transcript.pyannote[2431].end |
12422.47784375 |
transcript.pyannote[2432].speaker |
SPEAKER_17 |
transcript.pyannote[2432].start |
12422.66346875 |
transcript.pyannote[2432].end |
12423.43971875 |
transcript.pyannote[2433].speaker |
SPEAKER_17 |
transcript.pyannote[2433].start |
12423.94596875 |
transcript.pyannote[2433].end |
12425.88659375 |
transcript.pyannote[2434].speaker |
SPEAKER_17 |
transcript.pyannote[2434].start |
12426.44346875 |
transcript.pyannote[2434].end |
12433.69971875 |
transcript.pyannote[2435].speaker |
SPEAKER_19 |
transcript.pyannote[2435].start |
12434.02034375 |
transcript.pyannote[2435].end |
12440.29784375 |
transcript.pyannote[2436].speaker |
SPEAKER_17 |
transcript.pyannote[2436].start |
12441.31034375 |
transcript.pyannote[2436].end |
12445.19159375 |
transcript.pyannote[2437].speaker |
SPEAKER_19 |
transcript.pyannote[2437].start |
12445.09034375 |
transcript.pyannote[2437].end |
12449.20784375 |
transcript.pyannote[2438].speaker |
SPEAKER_17 |
transcript.pyannote[2438].start |
12446.50784375 |
transcript.pyannote[2438].end |
12447.04784375 |
transcript.pyannote[2439].speaker |
SPEAKER_17 |
transcript.pyannote[2439].start |
12449.64659375 |
transcript.pyannote[2439].end |
12449.98409375 |
transcript.pyannote[2440].speaker |
SPEAKER_17 |
transcript.pyannote[2440].start |
12450.22034375 |
transcript.pyannote[2440].end |
12457.61159375 |
transcript.pyannote[2441].speaker |
SPEAKER_19 |
transcript.pyannote[2441].start |
12457.52721875 |
transcript.pyannote[2441].end |
12471.38159375 |
transcript.pyannote[2442].speaker |
SPEAKER_17 |
transcript.pyannote[2442].start |
12471.76971875 |
transcript.pyannote[2442].end |
12477.91221875 |
transcript.pyannote[2443].speaker |
SPEAKER_19 |
transcript.pyannote[2443].start |
12476.44409375 |
transcript.pyannote[2443].end |
12488.13846875 |
transcript.pyannote[2444].speaker |
SPEAKER_17 |
transcript.pyannote[2444].start |
12487.78409375 |
transcript.pyannote[2444].end |
12493.72409375 |
transcript.pyannote[2445].speaker |
SPEAKER_19 |
transcript.pyannote[2445].start |
12493.53846875 |
transcript.pyannote[2445].end |
12500.25471875 |
transcript.pyannote[2446].speaker |
SPEAKER_17 |
transcript.pyannote[2446].start |
12500.28846875 |
transcript.pyannote[2446].end |
12502.48221875 |
transcript.pyannote[2447].speaker |
SPEAKER_17 |
transcript.pyannote[2447].start |
12502.49909375 |
transcript.pyannote[2447].end |
12502.53284375 |
transcript.pyannote[2448].speaker |
SPEAKER_17 |
transcript.pyannote[2448].start |
12502.54971875 |
transcript.pyannote[2448].end |
12503.68034375 |
transcript.pyannote[2449].speaker |
SPEAKER_17 |
transcript.pyannote[2449].start |
12504.01784375 |
transcript.pyannote[2449].end |
12514.49721875 |
transcript.pyannote[2450].speaker |
SPEAKER_19 |
transcript.pyannote[2450].start |
12514.17659375 |
transcript.pyannote[2450].end |
12580.49534375 |
transcript.pyannote[2451].speaker |
SPEAKER_17 |
transcript.pyannote[2451].start |
12580.69784375 |
transcript.pyannote[2451].end |
12594.14721875 |
transcript.pyannote[2452].speaker |
SPEAKER_19 |
transcript.pyannote[2452].start |
12593.60721875 |
transcript.pyannote[2452].end |
12598.45034375 |
transcript.pyannote[2453].speaker |
SPEAKER_17 |
transcript.pyannote[2453].start |
12594.18096875 |
transcript.pyannote[2453].end |
12595.56471875 |
transcript.pyannote[2454].speaker |
SPEAKER_17 |
transcript.pyannote[2454].start |
12595.91909375 |
transcript.pyannote[2454].end |
12596.54346875 |
transcript.pyannote[2455].speaker |
SPEAKER_17 |
transcript.pyannote[2455].start |
12596.93159375 |
transcript.pyannote[2455].end |
12601.36971875 |
transcript.pyannote[2456].speaker |
SPEAKER_19 |
transcript.pyannote[2456].start |
12600.00284375 |
transcript.pyannote[2456].end |
12613.45221875 |
transcript.pyannote[2457].speaker |
SPEAKER_17 |
transcript.pyannote[2457].start |
12605.30159375 |
transcript.pyannote[2457].end |
12611.51159375 |
transcript.pyannote[2458].speaker |
SPEAKER_17 |
transcript.pyannote[2458].start |
12612.92909375 |
transcript.pyannote[2458].end |
12614.09346875 |
transcript.pyannote[2459].speaker |
SPEAKER_19 |
transcript.pyannote[2459].start |
12613.55346875 |
transcript.pyannote[2459].end |
12617.13096875 |
transcript.pyannote[2460].speaker |
SPEAKER_17 |
transcript.pyannote[2460].start |
12616.21971875 |
transcript.pyannote[2460].end |
12622.91909375 |
transcript.pyannote[2461].speaker |
SPEAKER_19 |
transcript.pyannote[2461].start |
12619.67909375 |
transcript.pyannote[2461].end |
12624.79221875 |
transcript.pyannote[2462].speaker |
SPEAKER_17 |
transcript.pyannote[2462].start |
12623.77971875 |
transcript.pyannote[2462].end |
12631.01909375 |
transcript.pyannote[2463].speaker |
SPEAKER_19 |
transcript.pyannote[2463].start |
12627.13784375 |
transcript.pyannote[2463].end |
12633.70221875 |
transcript.pyannote[2464].speaker |
SPEAKER_17 |
transcript.pyannote[2464].start |
12633.70221875 |
transcript.pyannote[2464].end |
12640.72221875 |
transcript.pyannote[2465].speaker |
SPEAKER_19 |
transcript.pyannote[2465].start |
12633.76971875 |
transcript.pyannote[2465].end |
12634.49534375 |
transcript.pyannote[2466].speaker |
SPEAKER_19 |
transcript.pyannote[2466].start |
12637.19534375 |
transcript.pyannote[2466].end |
12646.18971875 |
transcript.pyannote[2467].speaker |
SPEAKER_17 |
transcript.pyannote[2467].start |
12646.40909375 |
transcript.pyannote[2467].end |
12651.57284375 |
transcript.pyannote[2468].speaker |
SPEAKER_19 |
transcript.pyannote[2468].start |
12650.88096875 |
transcript.pyannote[2468].end |
12652.85534375 |
transcript.pyannote[2469].speaker |
SPEAKER_17 |
transcript.pyannote[2469].start |
12652.85534375 |
transcript.pyannote[2469].end |
12657.69846875 |
transcript.pyannote[2470].speaker |
SPEAKER_19 |
transcript.pyannote[2470].start |
12654.00284375 |
transcript.pyannote[2470].end |
12654.94784375 |
transcript.pyannote[2471].speaker |
SPEAKER_19 |
transcript.pyannote[2471].start |
12656.09534375 |
transcript.pyannote[2471].end |
12662.08596875 |
transcript.pyannote[2472].speaker |
SPEAKER_17 |
transcript.pyannote[2472].start |
12660.92159375 |
transcript.pyannote[2472].end |
12663.36846875 |
transcript.pyannote[2473].speaker |
SPEAKER_19 |
transcript.pyannote[2473].start |
12662.35596875 |
transcript.pyannote[2473].end |
12680.15909375 |
transcript.pyannote[2474].speaker |
SPEAKER_11 |
transcript.pyannote[2474].start |
12678.87659375 |
transcript.pyannote[2474].end |
12681.18846875 |
transcript.pyannote[2475].speaker |
SPEAKER_19 |
transcript.pyannote[2475].start |
12680.26034375 |
transcript.pyannote[2475].end |
12709.60596875 |
transcript.pyannote[2476].speaker |
SPEAKER_11 |
transcript.pyannote[2476].start |
12681.88034375 |
transcript.pyannote[2476].end |
12681.91409375 |
transcript.pyannote[2477].speaker |
SPEAKER_17 |
transcript.pyannote[2477].start |
12681.91409375 |
transcript.pyannote[2477].end |
12682.09971875 |
transcript.pyannote[2478].speaker |
SPEAKER_11 |
transcript.pyannote[2478].start |
12682.09971875 |
transcript.pyannote[2478].end |
12682.92659375 |
transcript.pyannote[2479].speaker |
SPEAKER_17 |
transcript.pyannote[2479].start |
12709.60596875 |
transcript.pyannote[2479].end |
12719.95034375 |
transcript.pyannote[2480].speaker |
SPEAKER_19 |
transcript.pyannote[2480].start |
12719.59596875 |
transcript.pyannote[2480].end |
12736.58909375 |
transcript.pyannote[2481].speaker |
SPEAKER_04 |
transcript.pyannote[2481].start |
12722.07659375 |
transcript.pyannote[2481].end |
12722.11034375 |
transcript.pyannote[2482].speaker |
SPEAKER_17 |
transcript.pyannote[2482].start |
12722.11034375 |
transcript.pyannote[2482].end |
12722.17784375 |
transcript.pyannote[2483].speaker |
SPEAKER_04 |
transcript.pyannote[2483].start |
12722.17784375 |
transcript.pyannote[2483].end |
12722.21159375 |
transcript.pyannote[2484].speaker |
SPEAKER_17 |
transcript.pyannote[2484].start |
12722.21159375 |
transcript.pyannote[2484].end |
12722.26221875 |
transcript.pyannote[2485].speaker |
SPEAKER_04 |
transcript.pyannote[2485].start |
12722.26221875 |
transcript.pyannote[2485].end |
12722.31284375 |
transcript.pyannote[2486].speaker |
SPEAKER_17 |
transcript.pyannote[2486].start |
12722.31284375 |
transcript.pyannote[2486].end |
12722.32971875 |
transcript.pyannote[2487].speaker |
SPEAKER_04 |
transcript.pyannote[2487].start |
12722.32971875 |
transcript.pyannote[2487].end |
12722.41409375 |
transcript.pyannote[2488].speaker |
SPEAKER_17 |
transcript.pyannote[2488].start |
12722.41409375 |
transcript.pyannote[2488].end |
12724.16909375 |
transcript.pyannote[2489].speaker |
SPEAKER_00 |
transcript.pyannote[2489].start |
12733.23096875 |
transcript.pyannote[2489].end |
12733.24784375 |
transcript.pyannote[2490].speaker |
SPEAKER_17 |
transcript.pyannote[2490].start |
12733.24784375 |
transcript.pyannote[2490].end |
12740.13284375 |
transcript.pyannote[2491].speaker |
SPEAKER_19 |
transcript.pyannote[2491].start |
12739.94721875 |
transcript.pyannote[2491].end |
12746.56221875 |
transcript.pyannote[2492].speaker |
SPEAKER_00 |
transcript.pyannote[2492].start |
12741.60096875 |
transcript.pyannote[2492].end |
12741.65159375 |
transcript.pyannote[2493].speaker |
SPEAKER_17 |
transcript.pyannote[2493].start |
12741.65159375 |
transcript.pyannote[2493].end |
12741.76971875 |
transcript.pyannote[2494].speaker |
SPEAKER_00 |
transcript.pyannote[2494].start |
12741.76971875 |
transcript.pyannote[2494].end |
12741.83721875 |
transcript.pyannote[2495].speaker |
SPEAKER_17 |
transcript.pyannote[2495].start |
12741.83721875 |
transcript.pyannote[2495].end |
12742.03971875 |
transcript.pyannote[2496].speaker |
SPEAKER_00 |
transcript.pyannote[2496].start |
12742.03971875 |
transcript.pyannote[2496].end |
12742.10721875 |
transcript.pyannote[2497].speaker |
SPEAKER_17 |
transcript.pyannote[2497].start |
12746.56221875 |
transcript.pyannote[2497].end |
12752.28284375 |
transcript.pyannote[2498].speaker |
SPEAKER_19 |
transcript.pyannote[2498].start |
12750.20721875 |
transcript.pyannote[2498].end |
12759.96096875 |
transcript.pyannote[2499].speaker |
SPEAKER_17 |
transcript.pyannote[2499].start |
12760.70346875 |
transcript.pyannote[2499].end |
12761.91846875 |
transcript.pyannote[2500].speaker |
SPEAKER_17 |
transcript.pyannote[2500].start |
12762.39096875 |
transcript.pyannote[2500].end |
12766.67721875 |
transcript.pyannote[2501].speaker |
SPEAKER_19 |
transcript.pyannote[2501].start |
12762.79596875 |
transcript.pyannote[2501].end |
12764.11221875 |
transcript.pyannote[2502].speaker |
SPEAKER_19 |
transcript.pyannote[2502].start |
12766.76159375 |
transcript.pyannote[2502].end |
12798.08159375 |
transcript.pyannote[2503].speaker |
SPEAKER_17 |
transcript.pyannote[2503].start |
12770.84534375 |
transcript.pyannote[2503].end |
12773.78159375 |
transcript.pyannote[2504].speaker |
SPEAKER_00 |
transcript.pyannote[2504].start |
12773.78159375 |
transcript.pyannote[2504].end |
12773.98409375 |
transcript.pyannote[2505].speaker |
SPEAKER_17 |
transcript.pyannote[2505].start |
12773.98409375 |
transcript.pyannote[2505].end |
12774.97971875 |
transcript.pyannote[2506].speaker |
SPEAKER_17 |
transcript.pyannote[2506].start |
12775.67159375 |
transcript.pyannote[2506].end |
12775.97534375 |
transcript.pyannote[2507].speaker |
SPEAKER_00 |
transcript.pyannote[2507].start |
12775.97534375 |
transcript.pyannote[2507].end |
12776.29596875 |
transcript.pyannote[2508].speaker |
SPEAKER_00 |
transcript.pyannote[2508].start |
12789.59346875 |
transcript.pyannote[2508].end |
12792.02346875 |
transcript.pyannote[2509].speaker |
SPEAKER_17 |
transcript.pyannote[2509].start |
12792.02346875 |
transcript.pyannote[2509].end |
12792.61409375 |
transcript.pyannote[2510].speaker |
SPEAKER_00 |
transcript.pyannote[2510].start |
12792.61409375 |
transcript.pyannote[2510].end |
12792.85034375 |
transcript.pyannote[2511].speaker |
SPEAKER_17 |
transcript.pyannote[2511].start |
12793.00221875 |
transcript.pyannote[2511].end |
12793.01909375 |
transcript.pyannote[2512].speaker |
SPEAKER_00 |
transcript.pyannote[2512].start |
12793.01909375 |
transcript.pyannote[2512].end |
12793.03596875 |
transcript.pyannote[2513].speaker |
SPEAKER_17 |
transcript.pyannote[2513].start |
12793.03596875 |
transcript.pyannote[2513].end |
12793.91346875 |
transcript.pyannote[2514].speaker |
SPEAKER_00 |
transcript.pyannote[2514].start |
12793.91346875 |
transcript.pyannote[2514].end |
12793.93034375 |
transcript.pyannote[2515].speaker |
SPEAKER_17 |
transcript.pyannote[2515].start |
12799.19534375 |
transcript.pyannote[2515].end |
12810.06284375 |
transcript.pyannote[2516].speaker |
SPEAKER_19 |
transcript.pyannote[2516].start |
12799.31346875 |
transcript.pyannote[2516].end |
12801.15284375 |
transcript.pyannote[2517].speaker |
SPEAKER_19 |
transcript.pyannote[2517].start |
12810.06284375 |
transcript.pyannote[2517].end |
12814.19721875 |
transcript.pyannote[2518].speaker |
SPEAKER_17 |
transcript.pyannote[2518].start |
12814.19721875 |
transcript.pyannote[2518].end |
12819.04034375 |
transcript.pyannote[2519].speaker |
SPEAKER_17 |
transcript.pyannote[2519].start |
12819.10784375 |
transcript.pyannote[2519].end |
12819.15846875 |
transcript.pyannote[2520].speaker |
SPEAKER_19 |
transcript.pyannote[2520].start |
12819.15846875 |
transcript.pyannote[2520].end |
12819.96846875 |
transcript.pyannote[2521].speaker |
SPEAKER_17 |
transcript.pyannote[2521].start |
12819.96846875 |
transcript.pyannote[2521].end |
12821.25096875 |
transcript.pyannote[2522].speaker |
SPEAKER_19 |
transcript.pyannote[2522].start |
12820.06971875 |
transcript.pyannote[2522].end |
12824.69346875 |
transcript.pyannote[2523].speaker |
SPEAKER_17 |
transcript.pyannote[2523].start |
12824.69346875 |
transcript.pyannote[2523].end |
12827.93346875 |
transcript.pyannote[2524].speaker |
SPEAKER_19 |
transcript.pyannote[2524].start |
12824.76096875 |
transcript.pyannote[2524].end |
12829.53659375 |
transcript.pyannote[2525].speaker |
SPEAKER_17 |
transcript.pyannote[2525].start |
12829.33409375 |
transcript.pyannote[2525].end |
12831.62909375 |
transcript.pyannote[2526].speaker |
SPEAKER_19 |
transcript.pyannote[2526].start |
12830.54909375 |
transcript.pyannote[2526].end |
12834.17721875 |
transcript.pyannote[2527].speaker |
SPEAKER_19 |
transcript.pyannote[2527].start |
12834.64971875 |
transcript.pyannote[2527].end |
12834.68346875 |
transcript.pyannote[2528].speaker |
SPEAKER_17 |
transcript.pyannote[2528].start |
12834.68346875 |
transcript.pyannote[2528].end |
12836.97846875 |
transcript.pyannote[2529].speaker |
SPEAKER_19 |
transcript.pyannote[2529].start |
12836.97846875 |
transcript.pyannote[2529].end |
12841.24784375 |
transcript.pyannote[2530].speaker |
SPEAKER_17 |
transcript.pyannote[2530].start |
12837.01221875 |
transcript.pyannote[2530].end |
12838.32846875 |
transcript.pyannote[2531].speaker |
SPEAKER_19 |
transcript.pyannote[2531].start |
12841.80471875 |
transcript.pyannote[2531].end |
12845.71971875 |
transcript.pyannote[2532].speaker |
SPEAKER_17 |
transcript.pyannote[2532].start |
12842.85096875 |
transcript.pyannote[2532].end |
12848.63909375 |
transcript.pyannote[2533].speaker |
SPEAKER_19 |
transcript.pyannote[2533].start |
12847.08659375 |
transcript.pyannote[2533].end |
12853.60034375 |
transcript.pyannote[2534].speaker |
SPEAKER_19 |
transcript.pyannote[2534].start |
12853.87034375 |
transcript.pyannote[2534].end |
12857.14409375 |
transcript.pyannote[2535].speaker |
SPEAKER_17 |
transcript.pyannote[2535].start |
12856.40159375 |
transcript.pyannote[2535].end |
12856.45221875 |
transcript.pyannote[2536].speaker |
SPEAKER_17 |
transcript.pyannote[2536].start |
12856.55346875 |
transcript.pyannote[2536].end |
12861.73409375 |
transcript.pyannote[2537].speaker |
SPEAKER_19 |
transcript.pyannote[2537].start |
12860.46846875 |
transcript.pyannote[2537].end |
12883.23284375 |
transcript.pyannote[2538].speaker |
SPEAKER_17 |
transcript.pyannote[2538].start |
12865.26096875 |
transcript.pyannote[2538].end |
12868.78784375 |
transcript.pyannote[2539].speaker |
SPEAKER_17 |
transcript.pyannote[2539].start |
12875.25096875 |
transcript.pyannote[2539].end |
12876.06096875 |
transcript.pyannote[2540].speaker |
SPEAKER_17 |
transcript.pyannote[2540].start |
12877.66409375 |
transcript.pyannote[2540].end |
12882.70971875 |
transcript.pyannote[2541].speaker |
SPEAKER_17 |
transcript.pyannote[2541].start |
12883.23284375 |
transcript.pyannote[2541].end |
12885.17346875 |
transcript.pyannote[2542].speaker |
SPEAKER_19 |
transcript.pyannote[2542].start |
12883.75596875 |
transcript.pyannote[2542].end |
12894.01596875 |
transcript.pyannote[2543].speaker |
SPEAKER_17 |
transcript.pyannote[2543].start |
12885.56159375 |
transcript.pyannote[2543].end |
12887.50221875 |
transcript.pyannote[2544].speaker |
SPEAKER_17 |
transcript.pyannote[2544].start |
12889.99971875 |
transcript.pyannote[2544].end |
12892.53096875 |
transcript.pyannote[2545].speaker |
SPEAKER_17 |
transcript.pyannote[2545].start |
12893.15534375 |
transcript.pyannote[2545].end |
12895.07909375 |
transcript.pyannote[2546].speaker |
SPEAKER_19 |
transcript.pyannote[2546].start |
12894.99471875 |
transcript.pyannote[2546].end |
12895.97346875 |
transcript.pyannote[2547].speaker |
SPEAKER_17 |
transcript.pyannote[2547].start |
12896.19284375 |
transcript.pyannote[2547].end |
12900.22596875 |
transcript.pyannote[2548].speaker |
SPEAKER_19 |
transcript.pyannote[2548].start |
12899.23034375 |
transcript.pyannote[2548].end |
12905.17034375 |
transcript.pyannote[2549].speaker |
SPEAKER_17 |
transcript.pyannote[2549].start |
12900.64784375 |
transcript.pyannote[2549].end |
12901.84596875 |
transcript.pyannote[2550].speaker |
SPEAKER_17 |
transcript.pyannote[2550].start |
12903.95534375 |
transcript.pyannote[2550].end |
12907.29659375 |
transcript.pyannote[2551].speaker |
SPEAKER_19 |
transcript.pyannote[2551].start |
12905.25471875 |
transcript.pyannote[2551].end |
12905.32221875 |
transcript.pyannote[2552].speaker |
SPEAKER_17 |
transcript.pyannote[2552].start |
12907.41471875 |
transcript.pyannote[2552].end |
12907.51596875 |
transcript.pyannote[2553].speaker |
SPEAKER_19 |
transcript.pyannote[2553].start |
12907.51596875 |
transcript.pyannote[2553].end |
12916.10534375 |
transcript.pyannote[2554].speaker |
SPEAKER_17 |
transcript.pyannote[2554].start |
12907.81971875 |
transcript.pyannote[2554].end |
12910.23284375 |
transcript.pyannote[2555].speaker |
SPEAKER_17 |
transcript.pyannote[2555].start |
12910.48596875 |
transcript.pyannote[2555].end |
12910.55346875 |
transcript.pyannote[2556].speaker |
SPEAKER_17 |
transcript.pyannote[2556].start |
12915.64971875 |
transcript.pyannote[2556].end |
12916.07159375 |
transcript.pyannote[2557].speaker |
SPEAKER_17 |
transcript.pyannote[2557].start |
12916.10534375 |
transcript.pyannote[2557].end |
12919.12596875 |
transcript.pyannote[2558].speaker |
SPEAKER_19 |
transcript.pyannote[2558].start |
12917.87721875 |
transcript.pyannote[2558].end |
12929.01471875 |
transcript.pyannote[2559].speaker |
SPEAKER_17 |
transcript.pyannote[2559].start |
12926.50034375 |
transcript.pyannote[2559].end |
12930.33096875 |
transcript.pyannote[2560].speaker |
SPEAKER_19 |
transcript.pyannote[2560].start |
12930.33096875 |
transcript.pyannote[2560].end |
12939.49409375 |
transcript.pyannote[2561].speaker |
SPEAKER_17 |
transcript.pyannote[2561].start |
12935.03909375 |
transcript.pyannote[2561].end |
12936.15284375 |
transcript.pyannote[2562].speaker |
SPEAKER_17 |
transcript.pyannote[2562].start |
12939.49409375 |
transcript.pyannote[2562].end |
12942.31221875 |
transcript.pyannote[2563].speaker |
SPEAKER_17 |
transcript.pyannote[2563].start |
12942.61596875 |
transcript.pyannote[2563].end |
12948.45471875 |
transcript.pyannote[2564].speaker |
SPEAKER_19 |
transcript.pyannote[2564].start |
12944.40471875 |
transcript.pyannote[2564].end |
12946.93596875 |
transcript.pyannote[2565].speaker |
SPEAKER_19 |
transcript.pyannote[2565].start |
12947.61096875 |
transcript.pyannote[2565].end |
12952.11659375 |
transcript.pyannote[2566].speaker |
SPEAKER_17 |
transcript.pyannote[2566].start |
12950.29409375 |
transcript.pyannote[2566].end |
12950.32784375 |
transcript.pyannote[2567].speaker |
SPEAKER_17 |
transcript.pyannote[2567].start |
12951.98159375 |
transcript.pyannote[2567].end |
12953.09534375 |
transcript.pyannote[2568].speaker |
SPEAKER_19 |
transcript.pyannote[2568].start |
12953.09534375 |
transcript.pyannote[2568].end |
12953.70284375 |
transcript.pyannote[2569].speaker |
SPEAKER_17 |
transcript.pyannote[2569].start |
12953.70284375 |
transcript.pyannote[2569].end |
12958.15784375 |
transcript.pyannote[2570].speaker |
SPEAKER_19 |
transcript.pyannote[2570].start |
12955.50846875 |
transcript.pyannote[2570].end |
12956.77409375 |
transcript.pyannote[2571].speaker |
SPEAKER_19 |
transcript.pyannote[2571].start |
12957.16221875 |
transcript.pyannote[2571].end |
12958.24221875 |
transcript.pyannote[2572].speaker |
SPEAKER_17 |
transcript.pyannote[2572].start |
12958.24221875 |
transcript.pyannote[2572].end |
12962.88284375 |
transcript.pyannote[2573].speaker |
SPEAKER_19 |
transcript.pyannote[2573].start |
12958.81596875 |
transcript.pyannote[2573].end |
12959.60909375 |
transcript.pyannote[2574].speaker |
SPEAKER_19 |
transcript.pyannote[2574].start |
12961.93784375 |
transcript.pyannote[2574].end |
12963.10221875 |
transcript.pyannote[2575].speaker |
SPEAKER_17 |
transcript.pyannote[2575].start |
12963.10221875 |
transcript.pyannote[2575].end |
12963.64221875 |
transcript.pyannote[2576].speaker |
SPEAKER_19 |
transcript.pyannote[2576].start |
12963.64221875 |
transcript.pyannote[2576].end |
12964.55346875 |
transcript.pyannote[2577].speaker |
SPEAKER_17 |
transcript.pyannote[2577].start |
12964.55346875 |
transcript.pyannote[2577].end |
12969.31221875 |
transcript.pyannote[2578].speaker |
SPEAKER_17 |
transcript.pyannote[2578].start |
12969.98721875 |
transcript.pyannote[2578].end |
12973.61534375 |
transcript.pyannote[2579].speaker |
SPEAKER_17 |
transcript.pyannote[2579].start |
12974.79659375 |
transcript.pyannote[2579].end |
12976.16346875 |
transcript.pyannote[2580].speaker |
SPEAKER_19 |
transcript.pyannote[2580].start |
12976.16346875 |
transcript.pyannote[2580].end |
12978.99846875 |
transcript.pyannote[2581].speaker |
SPEAKER_17 |
transcript.pyannote[2581].start |
12979.84221875 |
transcript.pyannote[2581].end |
12983.99346875 |
transcript.pyannote[2582].speaker |
SPEAKER_19 |
transcript.pyannote[2582].start |
12980.56784375 |
transcript.pyannote[2582].end |
12985.76534375 |
transcript.pyannote[2583].speaker |
SPEAKER_17 |
transcript.pyannote[2583].start |
12984.97221875 |
transcript.pyannote[2583].end |
12987.19971875 |
transcript.pyannote[2584].speaker |
SPEAKER_19 |
transcript.pyannote[2584].start |
12987.19971875 |
transcript.pyannote[2584].end |
12990.33846875 |
transcript.pyannote[2585].speaker |
SPEAKER_17 |
transcript.pyannote[2585].start |
12987.35159375 |
transcript.pyannote[2585].end |
12988.29659375 |
transcript.pyannote[2586].speaker |
SPEAKER_17 |
transcript.pyannote[2586].start |
12990.40596875 |
transcript.pyannote[2586].end |
12995.35034375 |
transcript.pyannote[2587].speaker |
SPEAKER_19 |
transcript.pyannote[2587].start |
12993.35909375 |
transcript.pyannote[2587].end |
12996.39659375 |
transcript.pyannote[2588].speaker |
SPEAKER_19 |
transcript.pyannote[2588].start |
12996.83534375 |
transcript.pyannote[2588].end |
13012.14096875 |
transcript.pyannote[2589].speaker |
SPEAKER_17 |
transcript.pyannote[2589].start |
13010.79096875 |
transcript.pyannote[2589].end |
13013.27159375 |
transcript.pyannote[2590].speaker |
SPEAKER_19 |
transcript.pyannote[2590].start |
13012.90034375 |
transcript.pyannote[2590].end |
13029.18471875 |
transcript.pyannote[2591].speaker |
SPEAKER_04 |
transcript.pyannote[2591].start |
13020.51096875 |
transcript.pyannote[2591].end |
13022.21534375 |
transcript.pyannote[2592].speaker |
SPEAKER_17 |
transcript.pyannote[2592].start |
13029.18471875 |
transcript.pyannote[2592].end |
13030.50096875 |
transcript.pyannote[2593].speaker |
SPEAKER_19 |
transcript.pyannote[2593].start |
13029.97784375 |
transcript.pyannote[2593].end |
13030.63596875 |
transcript.pyannote[2594].speaker |
SPEAKER_19 |
transcript.pyannote[2594].start |
13030.87221875 |
transcript.pyannote[2594].end |
13036.57596875 |
transcript.pyannote[2595].speaker |
SPEAKER_17 |
transcript.pyannote[2595].start |
13036.20471875 |
transcript.pyannote[2595].end |
13040.42346875 |
transcript.pyannote[2596].speaker |
SPEAKER_19 |
transcript.pyannote[2596].start |
13037.28471875 |
transcript.pyannote[2596].end |
13038.49971875 |
transcript.pyannote[2597].speaker |
SPEAKER_19 |
transcript.pyannote[2597].start |
13039.09034375 |
transcript.pyannote[2597].end |
13040.49096875 |
transcript.pyannote[2598].speaker |
SPEAKER_04 |
transcript.pyannote[2598].start |
13040.42346875 |
transcript.pyannote[2598].end |
13040.45721875 |
transcript.pyannote[2599].speaker |
SPEAKER_04 |
transcript.pyannote[2599].start |
13040.49096875 |
transcript.pyannote[2599].end |
13040.55846875 |
transcript.pyannote[2600].speaker |
SPEAKER_04 |
transcript.pyannote[2600].start |
13040.94659375 |
transcript.pyannote[2600].end |
13044.03471875 |
transcript.pyannote[2601].speaker |
SPEAKER_08 |
transcript.pyannote[2601].start |
13058.53034375 |
transcript.pyannote[2601].end |
13061.75346875 |
transcript.pyannote[2602].speaker |
SPEAKER_03 |
transcript.pyannote[2602].start |
13061.87159375 |
transcript.pyannote[2602].end |
13062.39471875 |
transcript.pyannote[2603].speaker |
SPEAKER_08 |
transcript.pyannote[2603].start |
13069.61721875 |
transcript.pyannote[2603].end |
13070.12346875 |
transcript.pyannote[2604].speaker |
SPEAKER_08 |
transcript.pyannote[2604].start |
13070.57909375 |
transcript.pyannote[2604].end |
13071.42284375 |
transcript.pyannote[2605].speaker |
SPEAKER_08 |
transcript.pyannote[2605].start |
13072.03034375 |
transcript.pyannote[2605].end |
13075.91159375 |
transcript.pyannote[2606].speaker |
SPEAKER_08 |
transcript.pyannote[2606].start |
13076.24909375 |
transcript.pyannote[2606].end |
13077.14346875 |
transcript.pyannote[2607].speaker |
SPEAKER_14 |
transcript.pyannote[2607].start |
13077.54846875 |
transcript.pyannote[2607].end |
13078.00409375 |
transcript.pyannote[2608].speaker |
SPEAKER_08 |
transcript.pyannote[2608].start |
13078.00409375 |
transcript.pyannote[2608].end |
13091.30159375 |
transcript.pyannote[2609].speaker |
SPEAKER_08 |
transcript.pyannote[2609].start |
13091.87534375 |
transcript.pyannote[2609].end |
13093.12409375 |
transcript.pyannote[2610].speaker |
SPEAKER_08 |
transcript.pyannote[2610].start |
13093.56284375 |
transcript.pyannote[2610].end |
13096.65096875 |
transcript.pyannote[2611].speaker |
SPEAKER_08 |
transcript.pyannote[2611].start |
13096.97159375 |
transcript.pyannote[2611].end |
13098.70971875 |
transcript.pyannote[2612].speaker |
SPEAKER_08 |
transcript.pyannote[2612].start |
13099.18221875 |
transcript.pyannote[2612].end |
13103.43471875 |
transcript.pyannote[2613].speaker |
SPEAKER_08 |
transcript.pyannote[2613].start |
13103.92409375 |
transcript.pyannote[2613].end |
13107.31596875 |
transcript.pyannote[2614].speaker |
SPEAKER_08 |
transcript.pyannote[2614].start |
13107.97409375 |
transcript.pyannote[2614].end |
13113.13784375 |
transcript.pyannote[2615].speaker |
SPEAKER_08 |
transcript.pyannote[2615].start |
13113.32346875 |
transcript.pyannote[2615].end |
13115.14596875 |
transcript.pyannote[2616].speaker |
SPEAKER_14 |
transcript.pyannote[2616].start |
13115.14596875 |
transcript.pyannote[2616].end |
13115.43284375 |
transcript.pyannote[2617].speaker |
SPEAKER_08 |
transcript.pyannote[2617].start |
13115.31471875 |
transcript.pyannote[2617].end |
13146.02721875 |
transcript.pyannote[2618].speaker |
SPEAKER_08 |
transcript.pyannote[2618].start |
13146.16221875 |
transcript.pyannote[2618].end |
13150.14471875 |
transcript.pyannote[2619].speaker |
SPEAKER_08 |
transcript.pyannote[2619].start |
13150.31346875 |
transcript.pyannote[2619].end |
13154.41409375 |
transcript.pyannote[2620].speaker |
SPEAKER_08 |
transcript.pyannote[2620].start |
13154.92034375 |
transcript.pyannote[2620].end |
13164.50534375 |
transcript.pyannote[2621].speaker |
SPEAKER_08 |
transcript.pyannote[2621].start |
13165.21409375 |
transcript.pyannote[2621].end |
13166.61471875 |
transcript.pyannote[2622].speaker |
SPEAKER_08 |
transcript.pyannote[2622].start |
13167.40784375 |
transcript.pyannote[2622].end |
13169.58471875 |
transcript.pyannote[2623].speaker |
SPEAKER_08 |
transcript.pyannote[2623].start |
13170.42846875 |
transcript.pyannote[2623].end |
13172.47034375 |
transcript.pyannote[2624].speaker |
SPEAKER_08 |
transcript.pyannote[2624].start |
13173.21284375 |
transcript.pyannote[2624].end |
13178.47784375 |
transcript.pyannote[2625].speaker |
SPEAKER_08 |
transcript.pyannote[2625].start |
13179.06846875 |
transcript.pyannote[2625].end |
13180.65471875 |
transcript.pyannote[2626].speaker |
SPEAKER_08 |
transcript.pyannote[2626].start |
13181.36346875 |
transcript.pyannote[2626].end |
13185.29534375 |
transcript.pyannote[2627].speaker |
SPEAKER_08 |
transcript.pyannote[2627].start |
13185.39659375 |
transcript.pyannote[2627].end |
13187.62409375 |
transcript.pyannote[2628].speaker |
SPEAKER_08 |
transcript.pyannote[2628].start |
13187.80971875 |
transcript.pyannote[2628].end |
13192.04534375 |
transcript.pyannote[2629].speaker |
SPEAKER_08 |
transcript.pyannote[2629].start |
13192.26471875 |
transcript.pyannote[2629].end |
13192.61909375 |
transcript.pyannote[2630].speaker |
SPEAKER_08 |
transcript.pyannote[2630].start |
13193.10846875 |
transcript.pyannote[2630].end |
13198.32284375 |
transcript.pyannote[2631].speaker |
SPEAKER_08 |
transcript.pyannote[2631].start |
13198.89659375 |
transcript.pyannote[2631].end |
13199.70659375 |
transcript.pyannote[2632].speaker |
SPEAKER_08 |
transcript.pyannote[2632].start |
13200.29721875 |
transcript.pyannote[2632].end |
13201.36034375 |
transcript.pyannote[2633].speaker |
SPEAKER_08 |
transcript.pyannote[2633].start |
13202.27159375 |
transcript.pyannote[2633].end |
13202.82846875 |
transcript.pyannote[2634].speaker |
SPEAKER_08 |
transcript.pyannote[2634].start |
13203.36846875 |
transcript.pyannote[2634].end |
13205.24159375 |
transcript.pyannote[2635].speaker |
SPEAKER_08 |
transcript.pyannote[2635].start |
13205.57909375 |
transcript.pyannote[2635].end |
13206.97971875 |
transcript.pyannote[2636].speaker |
SPEAKER_08 |
transcript.pyannote[2636].start |
13207.68846875 |
transcript.pyannote[2636].end |
13208.24534375 |
transcript.pyannote[2637].speaker |
SPEAKER_08 |
transcript.pyannote[2637].start |
13209.12284375 |
transcript.pyannote[2637].end |
13210.18596875 |
transcript.pyannote[2638].speaker |
SPEAKER_08 |
transcript.pyannote[2638].start |
13210.42221875 |
transcript.pyannote[2638].end |
13223.56784375 |
transcript.pyannote[2639].speaker |
SPEAKER_13 |
transcript.pyannote[2639].start |
13224.10784375 |
transcript.pyannote[2639].end |
13224.12471875 |
transcript.pyannote[2640].speaker |
SPEAKER_08 |
transcript.pyannote[2640].start |
13224.12471875 |
transcript.pyannote[2640].end |
13225.87971875 |
transcript.pyannote[2641].speaker |
SPEAKER_08 |
transcript.pyannote[2641].start |
13226.33534375 |
transcript.pyannote[2641].end |
13227.26346875 |
transcript.pyannote[2642].speaker |
SPEAKER_17 |
transcript.pyannote[2642].start |
13227.26346875 |
transcript.pyannote[2642].end |
13230.72284375 |
transcript.pyannote[2643].speaker |
SPEAKER_08 |
transcript.pyannote[2643].start |
13227.41534375 |
transcript.pyannote[2643].end |
13227.56721875 |
transcript.pyannote[2644].speaker |
SPEAKER_17 |
transcript.pyannote[2644].start |
13231.27971875 |
transcript.pyannote[2644].end |
13236.44346875 |
transcript.pyannote[2645].speaker |
SPEAKER_17 |
transcript.pyannote[2645].start |
13236.84846875 |
transcript.pyannote[2645].end |
13259.03909375 |
transcript.pyannote[2646].speaker |
SPEAKER_08 |
transcript.pyannote[2646].start |
13256.65971875 |
transcript.pyannote[2646].end |
13256.89596875 |
transcript.pyannote[2647].speaker |
SPEAKER_08 |
transcript.pyannote[2647].start |
13258.00971875 |
transcript.pyannote[2647].end |
13258.46534375 |
transcript.pyannote[2648].speaker |
SPEAKER_08 |
transcript.pyannote[2648].start |
13259.03909375 |
transcript.pyannote[2648].end |
13266.75096875 |
transcript.pyannote[2649].speaker |
SPEAKER_17 |
transcript.pyannote[2649].start |
13259.08971875 |
transcript.pyannote[2649].end |
13261.97534375 |
transcript.pyannote[2650].speaker |
SPEAKER_17 |
transcript.pyannote[2650].start |
13264.84409375 |
transcript.pyannote[2650].end |
13265.21534375 |
transcript.pyannote[2651].speaker |
SPEAKER_17 |
transcript.pyannote[2651].start |
13266.75096875 |
transcript.pyannote[2651].end |
13267.17284375 |
transcript.pyannote[2652].speaker |
SPEAKER_08 |
transcript.pyannote[2652].start |
13267.12221875 |
transcript.pyannote[2652].end |
13268.91096875 |
transcript.pyannote[2653].speaker |
SPEAKER_17 |
transcript.pyannote[2653].start |
13268.91096875 |
transcript.pyannote[2653].end |
13269.29909375 |
transcript.pyannote[2654].speaker |
SPEAKER_08 |
transcript.pyannote[2654].start |
13269.45096875 |
transcript.pyannote[2654].end |
13271.10471875 |
transcript.pyannote[2655].speaker |
SPEAKER_17 |
transcript.pyannote[2655].start |
13270.71659375 |
transcript.pyannote[2655].end |
13284.31784375 |
transcript.pyannote[2656].speaker |
SPEAKER_08 |
transcript.pyannote[2656].start |
13275.81284375 |
transcript.pyannote[2656].end |
13275.96471875 |
transcript.pyannote[2657].speaker |
SPEAKER_08 |
transcript.pyannote[2657].start |
13281.70221875 |
transcript.pyannote[2657].end |
13289.27909375 |
transcript.pyannote[2658].speaker |
SPEAKER_17 |
transcript.pyannote[2658].start |
13285.75221875 |
transcript.pyannote[2658].end |
13287.82784375 |
transcript.pyannote[2659].speaker |
SPEAKER_17 |
transcript.pyannote[2659].start |
13287.84471875 |
transcript.pyannote[2659].end |
13287.91221875 |
transcript.pyannote[2660].speaker |
SPEAKER_17 |
transcript.pyannote[2660].start |
13288.03034375 |
transcript.pyannote[2660].end |
13288.97534375 |
transcript.pyannote[2661].speaker |
SPEAKER_17 |
transcript.pyannote[2661].start |
13289.27909375 |
transcript.pyannote[2661].end |
13290.57846875 |
transcript.pyannote[2662].speaker |
SPEAKER_08 |
transcript.pyannote[2662].start |
13289.29596875 |
transcript.pyannote[2662].end |
13291.57409375 |
transcript.pyannote[2663].speaker |
SPEAKER_17 |
transcript.pyannote[2663].start |
13291.18596875 |
transcript.pyannote[2663].end |
13295.40471875 |
transcript.pyannote[2664].speaker |
SPEAKER_08 |
transcript.pyannote[2664].start |
13292.70471875 |
transcript.pyannote[2664].end |
13292.92409375 |
transcript.pyannote[2665].speaker |
SPEAKER_08 |
transcript.pyannote[2665].start |
13293.90284375 |
transcript.pyannote[2665].end |
13309.47846875 |
transcript.pyannote[2666].speaker |
SPEAKER_17 |
transcript.pyannote[2666].start |
13297.93596875 |
transcript.pyannote[2666].end |
13298.32409375 |
transcript.pyannote[2667].speaker |
SPEAKER_17 |
transcript.pyannote[2667].start |
13302.74534375 |
transcript.pyannote[2667].end |
13302.96471875 |
transcript.pyannote[2668].speaker |
SPEAKER_14 |
transcript.pyannote[2668].start |
13302.96471875 |
transcript.pyannote[2668].end |
13303.28534375 |
transcript.pyannote[2669].speaker |
SPEAKER_20 |
transcript.pyannote[2669].start |
13308.78659375 |
transcript.pyannote[2669].end |
13308.85409375 |
transcript.pyannote[2670].speaker |
SPEAKER_13 |
transcript.pyannote[2670].start |
13308.85409375 |
transcript.pyannote[2670].end |
13309.37721875 |
transcript.pyannote[2671].speaker |
SPEAKER_20 |
transcript.pyannote[2671].start |
13309.37721875 |
transcript.pyannote[2671].end |
13309.41096875 |
transcript.pyannote[2672].speaker |
SPEAKER_08 |
transcript.pyannote[2672].start |
13309.90034375 |
transcript.pyannote[2672].end |
13320.68346875 |
transcript.pyannote[2673].speaker |
SPEAKER_08 |
transcript.pyannote[2673].start |
13321.44284375 |
transcript.pyannote[2673].end |
13322.53971875 |
transcript.pyannote[2674].speaker |
SPEAKER_08 |
transcript.pyannote[2674].start |
13323.50159375 |
transcript.pyannote[2674].end |
13330.30221875 |
transcript.pyannote[2675].speaker |
SPEAKER_08 |
transcript.pyannote[2675].start |
13331.34846875 |
transcript.pyannote[2675].end |
13345.50659375 |
transcript.pyannote[2676].speaker |
SPEAKER_08 |
transcript.pyannote[2676].start |
13345.97909375 |
transcript.pyannote[2676].end |
13349.67471875 |
transcript.pyannote[2677].speaker |
SPEAKER_08 |
transcript.pyannote[2677].start |
13349.96159375 |
transcript.pyannote[2677].end |
13354.63596875 |
transcript.pyannote[2678].speaker |
SPEAKER_14 |
transcript.pyannote[2678].start |
13354.80471875 |
transcript.pyannote[2678].end |
13355.14221875 |
transcript.pyannote[2679].speaker |
SPEAKER_08 |
transcript.pyannote[2679].start |
13355.85096875 |
transcript.pyannote[2679].end |
13358.92221875 |
transcript.pyannote[2680].speaker |
SPEAKER_08 |
transcript.pyannote[2680].start |
13359.37784375 |
transcript.pyannote[2680].end |
13364.87909375 |
transcript.pyannote[2681].speaker |
SPEAKER_13 |
transcript.pyannote[2681].start |
13364.87909375 |
transcript.pyannote[2681].end |
13365.06471875 |
transcript.pyannote[2682].speaker |
SPEAKER_08 |
transcript.pyannote[2682].start |
13365.19971875 |
transcript.pyannote[2682].end |
13366.80284375 |
transcript.pyannote[2683].speaker |
SPEAKER_08 |
transcript.pyannote[2683].start |
13367.34284375 |
transcript.pyannote[2683].end |
13402.03784375 |
transcript.pyannote[2684].speaker |
SPEAKER_08 |
transcript.pyannote[2684].start |
13402.30784375 |
transcript.pyannote[2684].end |
13404.26534375 |
transcript.pyannote[2685].speaker |
SPEAKER_08 |
transcript.pyannote[2685].start |
13404.92346875 |
transcript.pyannote[2685].end |
13422.16971875 |
transcript.pyannote[2686].speaker |
SPEAKER_08 |
transcript.pyannote[2686].start |
13422.82784375 |
transcript.pyannote[2686].end |
13431.56909375 |
transcript.pyannote[2687].speaker |
SPEAKER_08 |
transcript.pyannote[2687].start |
13432.02471875 |
transcript.pyannote[2687].end |
13439.12909375 |
transcript.pyannote[2688].speaker |
SPEAKER_08 |
transcript.pyannote[2688].start |
13439.44971875 |
transcript.pyannote[2688].end |
13440.66471875 |
transcript.pyannote[2689].speaker |
SPEAKER_08 |
transcript.pyannote[2689].start |
13441.32284375 |
transcript.pyannote[2689].end |
13446.08159375 |
transcript.pyannote[2690].speaker |
SPEAKER_17 |
transcript.pyannote[2690].start |
13446.08159375 |
transcript.pyannote[2690].end |
13446.09846875 |
transcript.pyannote[2691].speaker |
SPEAKER_08 |
transcript.pyannote[2691].start |
13446.65534375 |
transcript.pyannote[2691].end |
13446.77346875 |
transcript.pyannote[2692].speaker |
SPEAKER_17 |
transcript.pyannote[2692].start |
13446.77346875 |
transcript.pyannote[2692].end |
13452.52784375 |
transcript.pyannote[2693].speaker |
SPEAKER_17 |
transcript.pyannote[2693].start |
13452.74721875 |
transcript.pyannote[2693].end |
13464.37409375 |
transcript.pyannote[2694].speaker |
SPEAKER_08 |
transcript.pyannote[2694].start |
13461.37034375 |
transcript.pyannote[2694].end |
13464.23909375 |
transcript.pyannote[2695].speaker |
SPEAKER_17 |
transcript.pyannote[2695].start |
13464.45846875 |
transcript.pyannote[2695].end |
13471.05659375 |
transcript.pyannote[2696].speaker |
SPEAKER_08 |
transcript.pyannote[2696].start |
13464.59346875 |
transcript.pyannote[2696].end |
13465.63971875 |
transcript.pyannote[2697].speaker |
SPEAKER_08 |
transcript.pyannote[2697].start |
13466.48346875 |
transcript.pyannote[2697].end |
13466.82096875 |
transcript.pyannote[2698].speaker |
SPEAKER_08 |
transcript.pyannote[2698].start |
13466.85471875 |
transcript.pyannote[2698].end |
13467.32721875 |
transcript.pyannote[2699].speaker |
SPEAKER_08 |
transcript.pyannote[2699].start |
13468.30596875 |
transcript.pyannote[2699].end |
13483.54409375 |
transcript.pyannote[2700].speaker |
SPEAKER_17 |
transcript.pyannote[2700].start |
13472.06909375 |
transcript.pyannote[2700].end |
13472.40659375 |
transcript.pyannote[2701].speaker |
SPEAKER_17 |
transcript.pyannote[2701].start |
13473.57096875 |
transcript.pyannote[2701].end |
13473.94221875 |
transcript.pyannote[2702].speaker |
SPEAKER_17 |
transcript.pyannote[2702].start |
13475.27534375 |
transcript.pyannote[2702].end |
13475.91659375 |
transcript.pyannote[2703].speaker |
SPEAKER_17 |
transcript.pyannote[2703].start |
13480.87784375 |
transcript.pyannote[2703].end |
13481.46846875 |
transcript.pyannote[2704].speaker |
SPEAKER_17 |
transcript.pyannote[2704].start |
13482.10971875 |
transcript.pyannote[2704].end |
13482.86909375 |
transcript.pyannote[2705].speaker |
SPEAKER_17 |
transcript.pyannote[2705].start |
13482.95346875 |
transcript.pyannote[2705].end |
13483.79721875 |
transcript.pyannote[2706].speaker |
SPEAKER_08 |
transcript.pyannote[2706].start |
13483.79721875 |
transcript.pyannote[2706].end |
13500.84096875 |
transcript.pyannote[2707].speaker |
SPEAKER_17 |
transcript.pyannote[2707].start |
13491.07034375 |
transcript.pyannote[2707].end |
13491.59346875 |
transcript.pyannote[2708].speaker |
SPEAKER_17 |
transcript.pyannote[2708].start |
13493.46659375 |
transcript.pyannote[2708].end |
13493.53409375 |
transcript.pyannote[2709].speaker |
SPEAKER_17 |
transcript.pyannote[2709].start |
13496.28471875 |
transcript.pyannote[2709].end |
13496.58846875 |
transcript.pyannote[2710].speaker |
SPEAKER_08 |
transcript.pyannote[2710].start |
13501.44846875 |
transcript.pyannote[2710].end |
13504.18221875 |
transcript.pyannote[2711].speaker |
SPEAKER_08 |
transcript.pyannote[2711].start |
13504.50284375 |
transcript.pyannote[2711].end |
13517.68221875 |
transcript.pyannote[2712].speaker |
SPEAKER_08 |
transcript.pyannote[2712].start |
13518.15471875 |
transcript.pyannote[2712].end |
13521.61409375 |
transcript.pyannote[2713].speaker |
SPEAKER_08 |
transcript.pyannote[2713].start |
13522.22159375 |
transcript.pyannote[2713].end |
13526.22096875 |
transcript.pyannote[2714].speaker |
SPEAKER_08 |
transcript.pyannote[2714].start |
13526.37284375 |
transcript.pyannote[2714].end |
13538.01659375 |
transcript.pyannote[2715].speaker |
SPEAKER_08 |
transcript.pyannote[2715].start |
13538.53971875 |
transcript.pyannote[2715].end |
13540.00784375 |
transcript.pyannote[2716].speaker |
SPEAKER_08 |
transcript.pyannote[2716].start |
13540.48034375 |
transcript.pyannote[2716].end |
13543.02846875 |
transcript.pyannote[2717].speaker |
SPEAKER_08 |
transcript.pyannote[2717].start |
13543.18034375 |
transcript.pyannote[2717].end |
13547.85471875 |
transcript.pyannote[2718].speaker |
SPEAKER_08 |
transcript.pyannote[2718].start |
13548.41159375 |
transcript.pyannote[2718].end |
13550.85846875 |
transcript.pyannote[2719].speaker |
SPEAKER_08 |
transcript.pyannote[2719].start |
13551.19596875 |
transcript.pyannote[2719].end |
13554.67221875 |
transcript.pyannote[2720].speaker |
SPEAKER_08 |
transcript.pyannote[2720].start |
13555.34721875 |
transcript.pyannote[2720].end |
13556.27534375 |
transcript.pyannote[2721].speaker |
SPEAKER_08 |
transcript.pyannote[2721].start |
13556.61284375 |
transcript.pyannote[2721].end |
13559.78534375 |
transcript.pyannote[2722].speaker |
SPEAKER_17 |
transcript.pyannote[2722].start |
13558.90784375 |
transcript.pyannote[2722].end |
13560.37596875 |
transcript.pyannote[2723].speaker |
SPEAKER_08 |
transcript.pyannote[2723].start |
13560.37596875 |
transcript.pyannote[2723].end |
13560.39284375 |
transcript.pyannote[2724].speaker |
SPEAKER_08 |
transcript.pyannote[2724].start |
13560.40971875 |
transcript.pyannote[2724].end |
13561.57409375 |
transcript.pyannote[2725].speaker |
SPEAKER_17 |
transcript.pyannote[2725].start |
13560.94971875 |
transcript.pyannote[2725].end |
13561.03409375 |
transcript.pyannote[2726].speaker |
SPEAKER_17 |
transcript.pyannote[2726].start |
13561.57409375 |
transcript.pyannote[2726].end |
13561.97909375 |
transcript.pyannote[2727].speaker |
SPEAKER_08 |
transcript.pyannote[2727].start |
13561.97909375 |
transcript.pyannote[2727].end |
13563.95346875 |
transcript.pyannote[2728].speaker |
SPEAKER_08 |
transcript.pyannote[2728].start |
13564.44284375 |
transcript.pyannote[2728].end |
13579.56284375 |
transcript.pyannote[2729].speaker |
SPEAKER_17 |
transcript.pyannote[2729].start |
13566.53534375 |
transcript.pyannote[2729].end |
13567.93596875 |
transcript.pyannote[2730].speaker |
SPEAKER_13 |
transcript.pyannote[2730].start |
13567.93596875 |
transcript.pyannote[2730].end |
13567.95284375 |
transcript.pyannote[2731].speaker |
SPEAKER_17 |
transcript.pyannote[2731].start |
13567.95284375 |
transcript.pyannote[2731].end |
13567.98659375 |
transcript.pyannote[2732].speaker |
SPEAKER_13 |
transcript.pyannote[2732].start |
13567.98659375 |
transcript.pyannote[2732].end |
13568.03721875 |
transcript.pyannote[2733].speaker |
SPEAKER_00 |
transcript.pyannote[2733].start |
13570.87221875 |
transcript.pyannote[2733].end |
13570.92284375 |
transcript.pyannote[2734].speaker |
SPEAKER_13 |
transcript.pyannote[2734].start |
13570.92284375 |
transcript.pyannote[2734].end |
13571.10846875 |
transcript.pyannote[2735].speaker |
SPEAKER_00 |
transcript.pyannote[2735].start |
13571.10846875 |
transcript.pyannote[2735].end |
13571.12534375 |
transcript.pyannote[2736].speaker |
SPEAKER_14 |
transcript.pyannote[2736].start |
13579.56284375 |
transcript.pyannote[2736].end |
13579.93409375 |
transcript.pyannote[2737].speaker |
SPEAKER_08 |
transcript.pyannote[2737].start |
13579.93409375 |
transcript.pyannote[2737].end |
13592.96159375 |
transcript.pyannote[2738].speaker |
SPEAKER_17 |
transcript.pyannote[2738].start |
13593.36659375 |
transcript.pyannote[2738].end |
13611.01784375 |
transcript.pyannote[2739].speaker |
SPEAKER_17 |
transcript.pyannote[2739].start |
13611.64221875 |
transcript.pyannote[2739].end |
13612.53659375 |
transcript.pyannote[2740].speaker |
SPEAKER_17 |
transcript.pyannote[2740].start |
13612.82346875 |
transcript.pyannote[2740].end |
13616.67096875 |
transcript.pyannote[2741].speaker |
SPEAKER_17 |
transcript.pyannote[2741].start |
13616.83971875 |
transcript.pyannote[2741].end |
13622.32409375 |
transcript.pyannote[2742].speaker |
SPEAKER_17 |
transcript.pyannote[2742].start |
13622.77971875 |
transcript.pyannote[2742].end |
13631.40284375 |
transcript.pyannote[2743].speaker |
SPEAKER_08 |
transcript.pyannote[2743].start |
13627.16721875 |
transcript.pyannote[2743].end |
13627.47096875 |
transcript.pyannote[2744].speaker |
SPEAKER_08 |
transcript.pyannote[2744].start |
13628.70284375 |
transcript.pyannote[2744].end |
13629.39471875 |
transcript.pyannote[2745].speaker |
SPEAKER_08 |
transcript.pyannote[2745].start |
13629.41159375 |
transcript.pyannote[2745].end |
13642.11846875 |
transcript.pyannote[2746].speaker |
SPEAKER_00 |
transcript.pyannote[2746].start |
13631.40284375 |
transcript.pyannote[2746].end |
13631.41971875 |
transcript.pyannote[2747].speaker |
SPEAKER_17 |
transcript.pyannote[2747].start |
13632.49971875 |
transcript.pyannote[2747].end |
13633.81596875 |
transcript.pyannote[2748].speaker |
SPEAKER_17 |
transcript.pyannote[2748].start |
13638.06846875 |
transcript.pyannote[2748].end |
13638.40596875 |
transcript.pyannote[2749].speaker |
SPEAKER_17 |
transcript.pyannote[2749].start |
13639.99221875 |
transcript.pyannote[2749].end |
13640.12721875 |
transcript.pyannote[2750].speaker |
SPEAKER_17 |
transcript.pyannote[2750].start |
13641.69659375 |
transcript.pyannote[2750].end |
13645.84784375 |
transcript.pyannote[2751].speaker |
SPEAKER_17 |
transcript.pyannote[2751].start |
13646.26971875 |
transcript.pyannote[2751].end |
13650.92721875 |
transcript.pyannote[2752].speaker |
SPEAKER_17 |
transcript.pyannote[2752].start |
13651.16346875 |
transcript.pyannote[2752].end |
13656.71534375 |
transcript.pyannote[2753].speaker |
SPEAKER_17 |
transcript.pyannote[2753].start |
13657.03596875 |
transcript.pyannote[2753].end |
13659.97221875 |
transcript.pyannote[2754].speaker |
SPEAKER_08 |
transcript.pyannote[2754].start |
13659.97221875 |
transcript.pyannote[2754].end |
13673.67471875 |
transcript.pyannote[2755].speaker |
SPEAKER_17 |
transcript.pyannote[2755].start |
13667.38034375 |
transcript.pyannote[2755].end |
13667.75159375 |
transcript.pyannote[2756].speaker |
SPEAKER_17 |
transcript.pyannote[2756].start |
13673.67471875 |
transcript.pyannote[2756].end |
13681.31909375 |
transcript.pyannote[2757].speaker |
SPEAKER_17 |
transcript.pyannote[2757].start |
13682.63534375 |
transcript.pyannote[2757].end |
13690.98846875 |
transcript.pyannote[2758].speaker |
SPEAKER_08 |
transcript.pyannote[2758].start |
13686.34784375 |
transcript.pyannote[2758].end |
13686.75284375 |
transcript.pyannote[2759].speaker |
SPEAKER_08 |
transcript.pyannote[2759].start |
13688.11971875 |
transcript.pyannote[2759].end |
13690.80284375 |
transcript.pyannote[2760].speaker |
SPEAKER_17 |
transcript.pyannote[2760].start |
13691.25846875 |
transcript.pyannote[2760].end |
13691.89971875 |
transcript.pyannote[2761].speaker |
SPEAKER_08 |
transcript.pyannote[2761].start |
13692.30471875 |
transcript.pyannote[2761].end |
13692.33846875 |
transcript.pyannote[2762].speaker |
SPEAKER_17 |
transcript.pyannote[2762].start |
13692.33846875 |
transcript.pyannote[2762].end |
13699.02096875 |
transcript.pyannote[2763].speaker |
SPEAKER_08 |
transcript.pyannote[2763].start |
13695.24096875 |
transcript.pyannote[2763].end |
13695.34221875 |
transcript.pyannote[2764].speaker |
SPEAKER_17 |
transcript.pyannote[2764].start |
13699.57784375 |
transcript.pyannote[2764].end |
13717.38096875 |
transcript.pyannote[2765].speaker |
SPEAKER_00 |
transcript.pyannote[2765].start |
13707.00284375 |
transcript.pyannote[2765].end |
13707.03659375 |
transcript.pyannote[2766].speaker |
SPEAKER_08 |
transcript.pyannote[2766].start |
13707.03659375 |
transcript.pyannote[2766].end |
13707.86346875 |
transcript.pyannote[2767].speaker |
SPEAKER_08 |
transcript.pyannote[2767].start |
13709.51721875 |
transcript.pyannote[2767].end |
13710.27659375 |
transcript.pyannote[2768].speaker |
SPEAKER_08 |
transcript.pyannote[2768].start |
13710.61409375 |
transcript.pyannote[2768].end |
13711.18784375 |
transcript.pyannote[2769].speaker |
SPEAKER_08 |
transcript.pyannote[2769].start |
13713.95534375 |
transcript.pyannote[2769].end |
13714.24221875 |
transcript.pyannote[2770].speaker |
SPEAKER_14 |
transcript.pyannote[2770].start |
13717.38096875 |
transcript.pyannote[2770].end |
13717.80284375 |
transcript.pyannote[2771].speaker |
SPEAKER_17 |
transcript.pyannote[2771].start |
13717.73534375 |
transcript.pyannote[2771].end |
13726.78034375 |
transcript.pyannote[2772].speaker |
SPEAKER_08 |
transcript.pyannote[2772].start |
13725.04221875 |
transcript.pyannote[2772].end |
13725.59909375 |
transcript.pyannote[2773].speaker |
SPEAKER_17 |
transcript.pyannote[2773].start |
13726.84784375 |
transcript.pyannote[2773].end |
13727.82659375 |
transcript.pyannote[2774].speaker |
SPEAKER_08 |
transcript.pyannote[2774].start |
13728.07971875 |
transcript.pyannote[2774].end |
13728.09659375 |
transcript.pyannote[2775].speaker |
SPEAKER_17 |
transcript.pyannote[2775].start |
13728.09659375 |
transcript.pyannote[2775].end |
13728.18096875 |
transcript.pyannote[2776].speaker |
SPEAKER_08 |
transcript.pyannote[2776].start |
13728.18096875 |
transcript.pyannote[2776].end |
13741.96784375 |
transcript.pyannote[2777].speaker |
SPEAKER_17 |
transcript.pyannote[2777].start |
13728.23159375 |
transcript.pyannote[2777].end |
13729.88534375 |
transcript.pyannote[2778].speaker |
SPEAKER_17 |
transcript.pyannote[2778].start |
13730.56034375 |
transcript.pyannote[2778].end |
13732.97346875 |
transcript.pyannote[2779].speaker |
SPEAKER_00 |
transcript.pyannote[2779].start |
13732.97346875 |
transcript.pyannote[2779].end |
13733.96909375 |
transcript.pyannote[2780].speaker |
SPEAKER_17 |
transcript.pyannote[2780].start |
13734.39096875 |
transcript.pyannote[2780].end |
13736.88846875 |
transcript.pyannote[2781].speaker |
SPEAKER_17 |
transcript.pyannote[2781].start |
13740.98909375 |
transcript.pyannote[2781].end |
13756.34534375 |
transcript.pyannote[2782].speaker |
SPEAKER_08 |
transcript.pyannote[2782].start |
13742.17034375 |
transcript.pyannote[2782].end |
13742.72721875 |
transcript.pyannote[2783].speaker |
SPEAKER_08 |
transcript.pyannote[2783].start |
13749.74721875 |
transcript.pyannote[2783].end |
13750.08471875 |
transcript.pyannote[2784].speaker |
SPEAKER_08 |
transcript.pyannote[2784].start |
13756.07534375 |
transcript.pyannote[2784].end |
13770.26721875 |
transcript.pyannote[2785].speaker |
SPEAKER_17 |
transcript.pyannote[2785].start |
13758.25221875 |
transcript.pyannote[2785].end |
13759.72034375 |
transcript.pyannote[2786].speaker |
SPEAKER_17 |
transcript.pyannote[2786].start |
13759.77096875 |
transcript.pyannote[2786].end |
13760.51346875 |
transcript.pyannote[2787].speaker |
SPEAKER_17 |
transcript.pyannote[2787].start |
13762.77471875 |
transcript.pyannote[2787].end |
13765.30596875 |
transcript.pyannote[2788].speaker |
SPEAKER_17 |
transcript.pyannote[2788].start |
13767.06096875 |
transcript.pyannote[2788].end |
13767.80346875 |
transcript.pyannote[2789].speaker |
SPEAKER_17 |
transcript.pyannote[2789].start |
13768.34346875 |
transcript.pyannote[2789].end |
13772.56221875 |
transcript.pyannote[2790].speaker |
SPEAKER_08 |
transcript.pyannote[2790].start |
13770.35159375 |
transcript.pyannote[2790].end |
13770.95909375 |
transcript.pyannote[2791].speaker |
SPEAKER_08 |
transcript.pyannote[2791].start |
13771.78596875 |
transcript.pyannote[2791].end |
13787.19284375 |
transcript.pyannote[2792].speaker |
SPEAKER_17 |
transcript.pyannote[2792].start |
13772.73096875 |
transcript.pyannote[2792].end |
13780.96596875 |
transcript.pyannote[2793].speaker |
SPEAKER_00 |
transcript.pyannote[2793].start |
13780.96596875 |
transcript.pyannote[2793].end |
13781.99534375 |
transcript.pyannote[2794].speaker |
SPEAKER_04 |
transcript.pyannote[2794].start |
13781.99534375 |
transcript.pyannote[2794].end |
13783.68284375 |
transcript.pyannote[2795].speaker |
SPEAKER_00 |
transcript.pyannote[2795].start |
13783.68284375 |
transcript.pyannote[2795].end |
13783.85159375 |
transcript.pyannote[2796].speaker |
SPEAKER_04 |
transcript.pyannote[2796].start |
13783.85159375 |
transcript.pyannote[2796].end |
13784.02034375 |
transcript.pyannote[2797].speaker |
SPEAKER_00 |
transcript.pyannote[2797].start |
13784.02034375 |
transcript.pyannote[2797].end |
13784.07096875 |
transcript.pyannote[2798].speaker |
SPEAKER_04 |
transcript.pyannote[2798].start |
13784.45909375 |
transcript.pyannote[2798].end |
13784.72909375 |
transcript.pyannote[2799].speaker |
SPEAKER_04 |
transcript.pyannote[2799].start |
13787.53034375 |
transcript.pyannote[2799].end |
13788.00284375 |
transcript.pyannote[2800].speaker |
SPEAKER_04 |
transcript.pyannote[2800].start |
13788.30659375 |
transcript.pyannote[2800].end |
13791.32721875 |
transcript.pyannote[2801].speaker |
SPEAKER_20 |
transcript.pyannote[2801].start |
13800.60846875 |
transcript.pyannote[2801].end |
13801.72221875 |
transcript.pyannote[2802].speaker |
SPEAKER_20 |
transcript.pyannote[2802].start |
13802.17784375 |
transcript.pyannote[2802].end |
13804.15221875 |
transcript.pyannote[2803].speaker |
SPEAKER_20 |
transcript.pyannote[2803].start |
13805.46846875 |
transcript.pyannote[2803].end |
13805.50221875 |
transcript.pyannote[2804].speaker |
SPEAKER_03 |
transcript.pyannote[2804].start |
13805.50221875 |
transcript.pyannote[2804].end |
13805.77221875 |
transcript.pyannote[2805].speaker |
SPEAKER_20 |
transcript.pyannote[2805].start |
13805.77221875 |
transcript.pyannote[2805].end |
13805.97471875 |
transcript.pyannote[2806].speaker |
SPEAKER_03 |
transcript.pyannote[2806].start |
13805.97471875 |
transcript.pyannote[2806].end |
13805.99159375 |
transcript.pyannote[2807].speaker |
SPEAKER_20 |
transcript.pyannote[2807].start |
13809.90659375 |
transcript.pyannote[2807].end |
13811.69534375 |
transcript.pyannote[2808].speaker |
SPEAKER_20 |
transcript.pyannote[2808].start |
13812.30284375 |
transcript.pyannote[2808].end |
13814.26034375 |
transcript.pyannote[2809].speaker |
SPEAKER_20 |
transcript.pyannote[2809].start |
13815.13784375 |
transcript.pyannote[2809].end |
13820.87534375 |
transcript.pyannote[2810].speaker |
SPEAKER_00 |
transcript.pyannote[2810].start |
13816.42034375 |
transcript.pyannote[2810].end |
13816.45409375 |
transcript.pyannote[2811].speaker |
SPEAKER_13 |
transcript.pyannote[2811].start |
13816.45409375 |
transcript.pyannote[2811].end |
13816.97721875 |
transcript.pyannote[2812].speaker |
SPEAKER_00 |
transcript.pyannote[2812].start |
13816.97721875 |
transcript.pyannote[2812].end |
13817.23034375 |
transcript.pyannote[2813].speaker |
SPEAKER_20 |
transcript.pyannote[2813].start |
13821.16221875 |
transcript.pyannote[2813].end |
13824.40221875 |
transcript.pyannote[2814].speaker |
SPEAKER_20 |
transcript.pyannote[2814].start |
13824.52034375 |
transcript.pyannote[2814].end |
13825.02659375 |
transcript.pyannote[2815].speaker |
SPEAKER_17 |
transcript.pyannote[2815].start |
13825.02659375 |
transcript.pyannote[2815].end |
13826.86596875 |
transcript.pyannote[2816].speaker |
SPEAKER_20 |
transcript.pyannote[2816].start |
13826.86596875 |
transcript.pyannote[2816].end |
13827.06846875 |
transcript.pyannote[2817].speaker |
SPEAKER_17 |
transcript.pyannote[2817].start |
13827.06846875 |
transcript.pyannote[2817].end |
13828.53659375 |
transcript.pyannote[2818].speaker |
SPEAKER_20 |
transcript.pyannote[2818].start |
13827.57471875 |
transcript.pyannote[2818].end |
13828.35096875 |
transcript.pyannote[2819].speaker |
SPEAKER_20 |
transcript.pyannote[2819].start |
13828.53659375 |
transcript.pyannote[2819].end |
13829.49846875 |
transcript.pyannote[2820].speaker |
SPEAKER_20 |
transcript.pyannote[2820].start |
13830.05534375 |
transcript.pyannote[2820].end |
13830.93284375 |
transcript.pyannote[2821].speaker |
SPEAKER_20 |
transcript.pyannote[2821].start |
13831.64159375 |
transcript.pyannote[2821].end |
13835.97846875 |
transcript.pyannote[2822].speaker |
SPEAKER_20 |
transcript.pyannote[2822].start |
13836.19784375 |
transcript.pyannote[2822].end |
13836.56909375 |
transcript.pyannote[2823].speaker |
SPEAKER_20 |
transcript.pyannote[2823].start |
13837.34534375 |
transcript.pyannote[2823].end |
13838.17221875 |
transcript.pyannote[2824].speaker |
SPEAKER_20 |
transcript.pyannote[2824].start |
13839.16784375 |
transcript.pyannote[2824].end |
13846.55909375 |
transcript.pyannote[2825].speaker |
SPEAKER_00 |
transcript.pyannote[2825].start |
13841.10846875 |
transcript.pyannote[2825].end |
13841.74971875 |
transcript.pyannote[2826].speaker |
SPEAKER_00 |
transcript.pyannote[2826].start |
13845.88409375 |
transcript.pyannote[2826].end |
13846.27221875 |
transcript.pyannote[2827].speaker |
SPEAKER_20 |
transcript.pyannote[2827].start |
13847.23409375 |
transcript.pyannote[2827].end |
13855.41846875 |
transcript.pyannote[2828].speaker |
SPEAKER_13 |
transcript.pyannote[2828].start |
13852.06034375 |
transcript.pyannote[2828].end |
13852.63409375 |
transcript.pyannote[2829].speaker |
SPEAKER_20 |
transcript.pyannote[2829].start |
13855.67159375 |
transcript.pyannote[2829].end |
13860.80159375 |
transcript.pyannote[2830].speaker |
SPEAKER_13 |
transcript.pyannote[2830].start |
13861.08846875 |
transcript.pyannote[2830].end |
13861.62846875 |
transcript.pyannote[2831].speaker |
SPEAKER_20 |
transcript.pyannote[2831].start |
13861.37534375 |
transcript.pyannote[2831].end |
13864.44659375 |
transcript.pyannote[2832].speaker |
SPEAKER_13 |
transcript.pyannote[2832].start |
13863.21471875 |
transcript.pyannote[2832].end |
13864.05846875 |
transcript.pyannote[2833].speaker |
SPEAKER_20 |
transcript.pyannote[2833].start |
13865.02034375 |
transcript.pyannote[2833].end |
13867.65284375 |
transcript.pyannote[2834].speaker |
SPEAKER_20 |
transcript.pyannote[2834].start |
13868.17596875 |
transcript.pyannote[2834].end |
13869.05346875 |
transcript.pyannote[2835].speaker |
SPEAKER_20 |
transcript.pyannote[2835].start |
13869.17159375 |
transcript.pyannote[2835].end |
13878.43596875 |
transcript.pyannote[2836].speaker |
SPEAKER_00 |
transcript.pyannote[2836].start |
13877.76096875 |
transcript.pyannote[2836].end |
13878.35159375 |
transcript.pyannote[2837].speaker |
SPEAKER_20 |
transcript.pyannote[2837].start |
13878.79034375 |
transcript.pyannote[2837].end |
13886.94096875 |
transcript.pyannote[2838].speaker |
SPEAKER_20 |
transcript.pyannote[2838].start |
13887.37971875 |
transcript.pyannote[2838].end |
13888.52721875 |
transcript.pyannote[2839].speaker |
SPEAKER_17 |
transcript.pyannote[2839].start |
13888.52721875 |
transcript.pyannote[2839].end |
13889.18534375 |
transcript.pyannote[2840].speaker |
SPEAKER_17 |
transcript.pyannote[2840].start |
13891.15971875 |
transcript.pyannote[2840].end |
13895.19284375 |
transcript.pyannote[2841].speaker |
SPEAKER_20 |
transcript.pyannote[2841].start |
13893.35346875 |
transcript.pyannote[2841].end |
13894.31534375 |
transcript.pyannote[2842].speaker |
SPEAKER_20 |
transcript.pyannote[2842].start |
13894.77096875 |
transcript.pyannote[2842].end |
13897.72409375 |
transcript.pyannote[2843].speaker |
SPEAKER_17 |
transcript.pyannote[2843].start |
13897.72409375 |
transcript.pyannote[2843].end |
13897.97721875 |
transcript.pyannote[2844].speaker |
SPEAKER_20 |
transcript.pyannote[2844].start |
13897.97721875 |
transcript.pyannote[2844].end |
13898.56784375 |
transcript.pyannote[2845].speaker |
SPEAKER_20 |
transcript.pyannote[2845].start |
13899.58034375 |
transcript.pyannote[2845].end |
13905.90846875 |
transcript.pyannote[2846].speaker |
SPEAKER_17 |
transcript.pyannote[2846].start |
13903.39409375 |
transcript.pyannote[2846].end |
13903.78221875 |
transcript.pyannote[2847].speaker |
SPEAKER_00 |
transcript.pyannote[2847].start |
13903.78221875 |
transcript.pyannote[2847].end |
13903.79909375 |
transcript.pyannote[2848].speaker |
SPEAKER_20 |
transcript.pyannote[2848].start |
13906.66784375 |
transcript.pyannote[2848].end |
13908.60846875 |
transcript.pyannote[2849].speaker |
SPEAKER_20 |
transcript.pyannote[2849].start |
13908.96284375 |
transcript.pyannote[2849].end |
13909.72221875 |
transcript.pyannote[2850].speaker |
SPEAKER_20 |
transcript.pyannote[2850].start |
13910.43096875 |
transcript.pyannote[2850].end |
13912.72596875 |
transcript.pyannote[2851].speaker |
SPEAKER_20 |
transcript.pyannote[2851].start |
13913.24909375 |
transcript.pyannote[2851].end |
13914.49784375 |
transcript.pyannote[2852].speaker |
SPEAKER_20 |
transcript.pyannote[2852].start |
13914.98721875 |
transcript.pyannote[2852].end |
13915.34159375 |
transcript.pyannote[2853].speaker |
SPEAKER_20 |
transcript.pyannote[2853].start |
13915.93221875 |
transcript.pyannote[2853].end |
13917.24846875 |
transcript.pyannote[2854].speaker |
SPEAKER_20 |
transcript.pyannote[2854].start |
13917.99096875 |
transcript.pyannote[2854].end |
13919.07096875 |
transcript.pyannote[2855].speaker |
SPEAKER_20 |
transcript.pyannote[2855].start |
13919.71221875 |
transcript.pyannote[2855].end |
13920.69096875 |
transcript.pyannote[2856].speaker |
SPEAKER_20 |
transcript.pyannote[2856].start |
13921.28159375 |
transcript.pyannote[2856].end |
13923.89721875 |
transcript.pyannote[2857].speaker |
SPEAKER_20 |
transcript.pyannote[2857].start |
13924.25159375 |
transcript.pyannote[2857].end |
13925.55096875 |
transcript.pyannote[2858].speaker |
SPEAKER_20 |
transcript.pyannote[2858].start |
13926.25971875 |
transcript.pyannote[2858].end |
13927.30596875 |
transcript.pyannote[2859].speaker |
SPEAKER_20 |
transcript.pyannote[2859].start |
13927.93034375 |
transcript.pyannote[2859].end |
13929.46596875 |
transcript.pyannote[2860].speaker |
SPEAKER_20 |
transcript.pyannote[2860].start |
13930.42784375 |
transcript.pyannote[2860].end |
13931.98034375 |
transcript.pyannote[2861].speaker |
SPEAKER_20 |
transcript.pyannote[2861].start |
13932.75659375 |
transcript.pyannote[2861].end |
13935.35534375 |
transcript.pyannote[2862].speaker |
SPEAKER_17 |
transcript.pyannote[2862].start |
13932.80721875 |
transcript.pyannote[2862].end |
13933.63409375 |
transcript.pyannote[2863].speaker |
SPEAKER_17 |
transcript.pyannote[2863].start |
13935.70971875 |
transcript.pyannote[2863].end |
13944.67034375 |
transcript.pyannote[2864].speaker |
SPEAKER_20 |
transcript.pyannote[2864].start |
13944.67034375 |
transcript.pyannote[2864].end |
13944.99096875 |
transcript.pyannote[2865].speaker |
SPEAKER_17 |
transcript.pyannote[2865].start |
13944.92346875 |
transcript.pyannote[2865].end |
13948.46721875 |
transcript.pyannote[2866].speaker |
SPEAKER_20 |
transcript.pyannote[2866].start |
13947.60659375 |
transcript.pyannote[2866].end |
13949.00721875 |
transcript.pyannote[2867].speaker |
SPEAKER_17 |
transcript.pyannote[2867].start |
13948.90596875 |
transcript.pyannote[2867].end |
13955.80784375 |
transcript.pyannote[2868].speaker |
SPEAKER_20 |
transcript.pyannote[2868].start |
13952.73659375 |
transcript.pyannote[2868].end |
13953.15846875 |
transcript.pyannote[2869].speaker |
SPEAKER_14 |
transcript.pyannote[2869].start |
13953.15846875 |
transcript.pyannote[2869].end |
13953.17534375 |
transcript.pyannote[2870].speaker |
SPEAKER_14 |
transcript.pyannote[2870].start |
13955.80784375 |
transcript.pyannote[2870].end |
13956.19596875 |
transcript.pyannote[2871].speaker |
SPEAKER_17 |
transcript.pyannote[2871].start |
13956.19596875 |
transcript.pyannote[2871].end |
13960.87034375 |
transcript.pyannote[2872].speaker |
SPEAKER_14 |
transcript.pyannote[2872].start |
13960.95471875 |
transcript.pyannote[2872].end |
13961.41034375 |
transcript.pyannote[2873].speaker |
SPEAKER_17 |
transcript.pyannote[2873].start |
13961.32596875 |
transcript.pyannote[2873].end |
13967.85659375 |
transcript.pyannote[2874].speaker |
SPEAKER_17 |
transcript.pyannote[2874].start |
13968.29534375 |
transcript.pyannote[2874].end |
13969.81409375 |
transcript.pyannote[2875].speaker |
SPEAKER_20 |
transcript.pyannote[2875].start |
13969.93221875 |
transcript.pyannote[2875].end |
13973.47596875 |
transcript.pyannote[2876].speaker |
SPEAKER_17 |
transcript.pyannote[2876].start |
13972.24409375 |
transcript.pyannote[2876].end |
13973.44221875 |
transcript.pyannote[2877].speaker |
SPEAKER_20 |
transcript.pyannote[2877].start |
13974.35346875 |
transcript.pyannote[2877].end |
13976.24346875 |
transcript.pyannote[2878].speaker |
SPEAKER_20 |
transcript.pyannote[2878].start |
13976.81721875 |
transcript.pyannote[2878].end |
13977.07034375 |
transcript.pyannote[2879].speaker |
SPEAKER_20 |
transcript.pyannote[2879].start |
13977.50909375 |
transcript.pyannote[2879].end |
13979.77034375 |
transcript.pyannote[2880].speaker |
SPEAKER_20 |
transcript.pyannote[2880].start |
13979.85471875 |
transcript.pyannote[2880].end |
13980.52971875 |
transcript.pyannote[2881].speaker |
SPEAKER_20 |
transcript.pyannote[2881].start |
13980.76596875 |
transcript.pyannote[2881].end |
13985.69346875 |
transcript.pyannote[2882].speaker |
SPEAKER_00 |
transcript.pyannote[2882].start |
13984.14096875 |
transcript.pyannote[2882].end |
13984.24221875 |
transcript.pyannote[2883].speaker |
SPEAKER_13 |
transcript.pyannote[2883].start |
13984.24221875 |
transcript.pyannote[2883].end |
13984.44471875 |
transcript.pyannote[2884].speaker |
SPEAKER_20 |
transcript.pyannote[2884].start |
13986.03096875 |
transcript.pyannote[2884].end |
13988.95034375 |
transcript.pyannote[2885].speaker |
SPEAKER_00 |
transcript.pyannote[2885].start |
13987.21221875 |
transcript.pyannote[2885].end |
13987.22909375 |
transcript.pyannote[2886].speaker |
SPEAKER_14 |
transcript.pyannote[2886].start |
13987.22909375 |
transcript.pyannote[2886].end |
13988.08971875 |
transcript.pyannote[2887].speaker |
SPEAKER_20 |
transcript.pyannote[2887].start |
13989.10221875 |
transcript.pyannote[2887].end |
13991.17784375 |
transcript.pyannote[2888].speaker |
SPEAKER_14 |
transcript.pyannote[2888].start |
13989.38909375 |
transcript.pyannote[2888].end |
13989.43971875 |
transcript.pyannote[2889].speaker |
SPEAKER_20 |
transcript.pyannote[2889].start |
13991.93721875 |
transcript.pyannote[2889].end |
13995.27846875 |
transcript.pyannote[2890].speaker |
SPEAKER_20 |
transcript.pyannote[2890].start |
13995.90284375 |
transcript.pyannote[2890].end |
13999.53096875 |
transcript.pyannote[2891].speaker |
SPEAKER_20 |
transcript.pyannote[2891].start |
13999.98659375 |
transcript.pyannote[2891].end |
14001.30284375 |
transcript.pyannote[2892].speaker |
SPEAKER_20 |
transcript.pyannote[2892].start |
14001.57284375 |
transcript.pyannote[2892].end |
14002.83846875 |
transcript.pyannote[2893].speaker |
SPEAKER_20 |
transcript.pyannote[2893].start |
14003.26034375 |
transcript.pyannote[2893].end |
14021.13096875 |
transcript.pyannote[2894].speaker |
SPEAKER_13 |
transcript.pyannote[2894].start |
14005.84221875 |
transcript.pyannote[2894].end |
14006.97284375 |
transcript.pyannote[2895].speaker |
SPEAKER_13 |
transcript.pyannote[2895].start |
14009.58846875 |
transcript.pyannote[2895].end |
14009.63909375 |
transcript.pyannote[2896].speaker |
SPEAKER_00 |
transcript.pyannote[2896].start |
14009.63909375 |
transcript.pyannote[2896].end |
14009.67284375 |
transcript.pyannote[2897].speaker |
SPEAKER_00 |
transcript.pyannote[2897].start |
14012.52471875 |
transcript.pyannote[2897].end |
14013.19971875 |
transcript.pyannote[2898].speaker |
SPEAKER_00 |
transcript.pyannote[2898].start |
14013.87471875 |
transcript.pyannote[2898].end |
14013.99284375 |
transcript.pyannote[2899].speaker |
SPEAKER_20 |
transcript.pyannote[2899].start |
14021.77221875 |
transcript.pyannote[2899].end |
14024.82659375 |
transcript.pyannote[2900].speaker |
SPEAKER_17 |
transcript.pyannote[2900].start |
14024.82659375 |
transcript.pyannote[2900].end |
14024.84346875 |
transcript.pyannote[2901].speaker |
SPEAKER_20 |
transcript.pyannote[2901].start |
14025.26534375 |
transcript.pyannote[2901].end |
14025.29909375 |
transcript.pyannote[2902].speaker |
SPEAKER_17 |
transcript.pyannote[2902].start |
14025.29909375 |
transcript.pyannote[2902].end |
14030.64846875 |
transcript.pyannote[2903].speaker |
SPEAKER_09 |
transcript.pyannote[2903].start |
14029.53471875 |
transcript.pyannote[2903].end |
14029.85534375 |
transcript.pyannote[2904].speaker |
SPEAKER_17 |
transcript.pyannote[2904].start |
14030.98596875 |
transcript.pyannote[2904].end |
14033.90534375 |
transcript.pyannote[2905].speaker |
SPEAKER_17 |
transcript.pyannote[2905].start |
14034.47909375 |
transcript.pyannote[2905].end |
14039.17034375 |
transcript.pyannote[2906].speaker |
SPEAKER_14 |
transcript.pyannote[2906].start |
14039.27159375 |
transcript.pyannote[2906].end |
14039.64284375 |
transcript.pyannote[2907].speaker |
SPEAKER_17 |
transcript.pyannote[2907].start |
14039.64284375 |
transcript.pyannote[2907].end |
14044.48596875 |
transcript.pyannote[2908].speaker |
SPEAKER_14 |
transcript.pyannote[2908].start |
14044.35096875 |
transcript.pyannote[2908].end |
14044.70534375 |
transcript.pyannote[2909].speaker |
SPEAKER_17 |
transcript.pyannote[2909].start |
14044.65471875 |
transcript.pyannote[2909].end |
14047.54034375 |
transcript.pyannote[2910].speaker |
SPEAKER_17 |
transcript.pyannote[2910].start |
14047.77659375 |
transcript.pyannote[2910].end |
14060.85471875 |
transcript.pyannote[2911].speaker |
SPEAKER_20 |
transcript.pyannote[2911].start |
14059.92659375 |
transcript.pyannote[2911].end |
14082.80909375 |
transcript.pyannote[2912].speaker |
SPEAKER_17 |
transcript.pyannote[2912].start |
14063.60534375 |
transcript.pyannote[2912].end |
14063.95971875 |
transcript.pyannote[2913].speaker |
SPEAKER_17 |
transcript.pyannote[2913].start |
14065.52909375 |
transcript.pyannote[2913].end |
14067.60471875 |
transcript.pyannote[2914].speaker |
SPEAKER_17 |
transcript.pyannote[2914].start |
14068.00971875 |
transcript.pyannote[2914].end |
14068.07721875 |
transcript.pyannote[2915].speaker |
SPEAKER_13 |
transcript.pyannote[2915].start |
14068.07721875 |
transcript.pyannote[2915].end |
14068.09409375 |
transcript.pyannote[2916].speaker |
SPEAKER_00 |
transcript.pyannote[2916].start |
14068.85346875 |
transcript.pyannote[2916].end |
14068.90409375 |
transcript.pyannote[2917].speaker |
SPEAKER_13 |
transcript.pyannote[2917].start |
14068.90409375 |
transcript.pyannote[2917].end |
14069.03909375 |
transcript.pyannote[2918].speaker |
SPEAKER_02 |
transcript.pyannote[2918].start |
14069.03909375 |
transcript.pyannote[2918].end |
14069.30909375 |
transcript.pyannote[2919].speaker |
SPEAKER_13 |
transcript.pyannote[2919].start |
14069.30909375 |
transcript.pyannote[2919].end |
14069.52846875 |
transcript.pyannote[2920].speaker |
SPEAKER_20 |
transcript.pyannote[2920].start |
14082.87659375 |
transcript.pyannote[2920].end |
14086.36971875 |
transcript.pyannote[2921].speaker |
SPEAKER_17 |
transcript.pyannote[2921].start |
14086.36971875 |
transcript.pyannote[2921].end |
14086.97721875 |
transcript.pyannote[2922].speaker |
SPEAKER_20 |
transcript.pyannote[2922].start |
14086.47096875 |
transcript.pyannote[2922].end |
14087.41596875 |
transcript.pyannote[2923].speaker |
SPEAKER_20 |
transcript.pyannote[2923].start |
14087.75346875 |
transcript.pyannote[2923].end |
14092.29284375 |
transcript.pyannote[2924].speaker |
SPEAKER_17 |
transcript.pyannote[2924].start |
14090.72346875 |
transcript.pyannote[2924].end |
14092.66409375 |
transcript.pyannote[2925].speaker |
SPEAKER_20 |
transcript.pyannote[2925].start |
14092.93409375 |
transcript.pyannote[2925].end |
14100.07221875 |
transcript.pyannote[2926].speaker |
SPEAKER_17 |
transcript.pyannote[2926].start |
14100.07221875 |
transcript.pyannote[2926].end |
14104.51034375 |
transcript.pyannote[2927].speaker |
SPEAKER_17 |
transcript.pyannote[2927].start |
14104.67909375 |
transcript.pyannote[2927].end |
14117.52096875 |
transcript.pyannote[2928].speaker |
SPEAKER_20 |
transcript.pyannote[2928].start |
14117.74034375 |
transcript.pyannote[2928].end |
14118.71909375 |
transcript.pyannote[2929].speaker |
SPEAKER_17 |
transcript.pyannote[2929].start |
14118.71909375 |
transcript.pyannote[2929].end |
14118.75284375 |
transcript.pyannote[2930].speaker |
SPEAKER_17 |
transcript.pyannote[2930].start |
14118.82034375 |
transcript.pyannote[2930].end |
14119.29284375 |
transcript.pyannote[2931].speaker |
SPEAKER_17 |
transcript.pyannote[2931].start |
14119.42784375 |
transcript.pyannote[2931].end |
14119.78221875 |
transcript.pyannote[2932].speaker |
SPEAKER_20 |
transcript.pyannote[2932].start |
14120.13659375 |
transcript.pyannote[2932].end |
14120.17034375 |
transcript.pyannote[2933].speaker |
SPEAKER_04 |
transcript.pyannote[2933].start |
14120.17034375 |
transcript.pyannote[2933].end |
14120.72721875 |
transcript.pyannote[2934].speaker |
SPEAKER_17 |
transcript.pyannote[2934].start |
14120.72721875 |
transcript.pyannote[2934].end |
14121.31784375 |
transcript.pyannote[2935].speaker |
SPEAKER_04 |
transcript.pyannote[2935].start |
14120.96346875 |
transcript.pyannote[2935].end |
14121.11534375 |
transcript.pyannote[2936].speaker |
SPEAKER_04 |
transcript.pyannote[2936].start |
14121.31784375 |
transcript.pyannote[2936].end |
14121.35159375 |
transcript.pyannote[2937].speaker |
SPEAKER_17 |
transcript.pyannote[2937].start |
14121.35159375 |
transcript.pyannote[2937].end |
14122.39784375 |
transcript.pyannote[2938].speaker |
SPEAKER_04 |
transcript.pyannote[2938].start |
14121.57096875 |
transcript.pyannote[2938].end |
14122.46534375 |
transcript.pyannote[2939].speaker |
SPEAKER_17 |
transcript.pyannote[2939].start |
14122.46534375 |
transcript.pyannote[2939].end |
14123.07284375 |
transcript.pyannote[2940].speaker |
SPEAKER_04 |
transcript.pyannote[2940].start |
14123.07284375 |
transcript.pyannote[2940].end |
14123.14034375 |
transcript.pyannote[2941].speaker |
SPEAKER_04 |
transcript.pyannote[2941].start |
14123.25846875 |
transcript.pyannote[2941].end |
14126.46471875 |
transcript.pyannote[2942].speaker |
SPEAKER_02 |
transcript.pyannote[2942].start |
14134.19346875 |
transcript.pyannote[2942].end |
14135.57721875 |
transcript.pyannote[2943].speaker |
SPEAKER_02 |
transcript.pyannote[2943].start |
14135.88096875 |
transcript.pyannote[2943].end |
14136.30284375 |
transcript.pyannote[2944].speaker |
SPEAKER_02 |
transcript.pyannote[2944].start |
14136.60659375 |
transcript.pyannote[2944].end |
14137.07909375 |
transcript.pyannote[2945].speaker |
SPEAKER_02 |
transcript.pyannote[2945].start |
14137.41659375 |
transcript.pyannote[2945].end |
14138.47971875 |
transcript.pyannote[2946].speaker |
SPEAKER_02 |
transcript.pyannote[2946].start |
14144.77409375 |
transcript.pyannote[2946].end |
14145.63471875 |
transcript.pyannote[2947].speaker |
SPEAKER_02 |
transcript.pyannote[2947].start |
14147.62596875 |
transcript.pyannote[2947].end |
14147.86221875 |
transcript.pyannote[2948].speaker |
SPEAKER_13 |
transcript.pyannote[2948].start |
14148.46971875 |
transcript.pyannote[2948].end |
14149.66784375 |
transcript.pyannote[2949].speaker |
SPEAKER_02 |
transcript.pyannote[2949].start |
14148.60471875 |
transcript.pyannote[2949].end |
14149.04346875 |
transcript.pyannote[2950].speaker |
SPEAKER_02 |
transcript.pyannote[2950].start |
14149.33034375 |
transcript.pyannote[2950].end |
14152.50284375 |
transcript.pyannote[2951].speaker |
SPEAKER_02 |
transcript.pyannote[2951].start |
14153.29596875 |
transcript.pyannote[2951].end |
14154.00471875 |
transcript.pyannote[2952].speaker |
SPEAKER_02 |
transcript.pyannote[2952].start |
14154.25784375 |
transcript.pyannote[2952].end |
14160.19784375 |
transcript.pyannote[2953].speaker |
SPEAKER_10 |
transcript.pyannote[2953].start |
14159.15159375 |
transcript.pyannote[2953].end |
14159.62409375 |
transcript.pyannote[2954].speaker |
SPEAKER_02 |
transcript.pyannote[2954].start |
14160.77159375 |
transcript.pyannote[2954].end |
14166.05346875 |
transcript.pyannote[2955].speaker |
SPEAKER_02 |
transcript.pyannote[2955].start |
14166.55971875 |
transcript.pyannote[2955].end |
14168.70284375 |
transcript.pyannote[2956].speaker |
SPEAKER_17 |
transcript.pyannote[2956].start |
14169.15846875 |
transcript.pyannote[2956].end |
14170.10346875 |
transcript.pyannote[2957].speaker |
SPEAKER_02 |
transcript.pyannote[2957].start |
14170.10346875 |
transcript.pyannote[2957].end |
14175.25034375 |
transcript.pyannote[2958].speaker |
SPEAKER_17 |
transcript.pyannote[2958].start |
14170.54221875 |
transcript.pyannote[2958].end |
14171.06534375 |
transcript.pyannote[2959].speaker |
SPEAKER_17 |
transcript.pyannote[2959].start |
14173.78221875 |
transcript.pyannote[2959].end |
14174.13659375 |
transcript.pyannote[2960].speaker |
SPEAKER_17 |
transcript.pyannote[2960].start |
14175.25034375 |
transcript.pyannote[2960].end |
14176.38096875 |
transcript.pyannote[2961].speaker |
SPEAKER_17 |
transcript.pyannote[2961].start |
14177.89971875 |
transcript.pyannote[2961].end |
14183.02971875 |
transcript.pyannote[2962].speaker |
SPEAKER_17 |
transcript.pyannote[2962].start |
14183.41784375 |
transcript.pyannote[2962].end |
14190.03284375 |
transcript.pyannote[2963].speaker |
SPEAKER_17 |
transcript.pyannote[2963].start |
14190.30284375 |
transcript.pyannote[2963].end |
14196.10784375 |
transcript.pyannote[2964].speaker |
SPEAKER_02 |
transcript.pyannote[2964].start |
14195.44971875 |
transcript.pyannote[2964].end |
14196.04034375 |
transcript.pyannote[2965].speaker |
SPEAKER_02 |
transcript.pyannote[2965].start |
14196.10784375 |
transcript.pyannote[2965].end |
14199.76971875 |
transcript.pyannote[2966].speaker |
SPEAKER_17 |
transcript.pyannote[2966].start |
14198.63909375 |
transcript.pyannote[2966].end |
14199.28034375 |
transcript.pyannote[2967].speaker |
SPEAKER_17 |
transcript.pyannote[2967].start |
14199.76971875 |
transcript.pyannote[2967].end |
14199.90471875 |
transcript.pyannote[2968].speaker |
SPEAKER_02 |
transcript.pyannote[2968].start |
14199.90471875 |
transcript.pyannote[2968].end |
14209.79346875 |
transcript.pyannote[2969].speaker |
SPEAKER_17 |
transcript.pyannote[2969].start |
14201.45721875 |
transcript.pyannote[2969].end |
14201.55846875 |
transcript.pyannote[2970].speaker |
SPEAKER_13 |
transcript.pyannote[2970].start |
14201.55846875 |
transcript.pyannote[2970].end |
14202.03096875 |
transcript.pyannote[2971].speaker |
SPEAKER_17 |
transcript.pyannote[2971].start |
14202.03096875 |
transcript.pyannote[2971].end |
14202.57096875 |
transcript.pyannote[2972].speaker |
SPEAKER_13 |
transcript.pyannote[2972].start |
14202.57096875 |
transcript.pyannote[2972].end |
14202.68909375 |
transcript.pyannote[2973].speaker |
SPEAKER_17 |
transcript.pyannote[2973].start |
14202.68909375 |
transcript.pyannote[2973].end |
14202.77346875 |
transcript.pyannote[2974].speaker |
SPEAKER_13 |
transcript.pyannote[2974].start |
14202.77346875 |
transcript.pyannote[2974].end |
14202.80721875 |
transcript.pyannote[2975].speaker |
SPEAKER_17 |
transcript.pyannote[2975].start |
14202.80721875 |
transcript.pyannote[2975].end |
14203.33034375 |
transcript.pyannote[2976].speaker |
SPEAKER_13 |
transcript.pyannote[2976].start |
14203.33034375 |
transcript.pyannote[2976].end |
14203.36409375 |
transcript.pyannote[2977].speaker |
SPEAKER_13 |
transcript.pyannote[2977].start |
14204.00534375 |
transcript.pyannote[2977].end |
14204.03909375 |
transcript.pyannote[2978].speaker |
SPEAKER_17 |
transcript.pyannote[2978].start |
14204.03909375 |
transcript.pyannote[2978].end |
14204.27534375 |
transcript.pyannote[2979].speaker |
SPEAKER_17 |
transcript.pyannote[2979].start |
14207.21159375 |
transcript.pyannote[2979].end |
14210.65409375 |
transcript.pyannote[2980].speaker |
SPEAKER_02 |
transcript.pyannote[2980].start |
14210.51909375 |
transcript.pyannote[2980].end |
14214.19784375 |
transcript.pyannote[2981].speaker |
SPEAKER_17 |
transcript.pyannote[2981].start |
14211.64971875 |
transcript.pyannote[2981].end |
14211.98721875 |
transcript.pyannote[2982].speaker |
SPEAKER_17 |
transcript.pyannote[2982].start |
14214.19784375 |
transcript.pyannote[2982].end |
14215.21034375 |
transcript.pyannote[2983].speaker |
SPEAKER_02 |
transcript.pyannote[2983].start |
14214.70409375 |
transcript.pyannote[2983].end |
14217.38721875 |
transcript.pyannote[2984].speaker |
SPEAKER_17 |
transcript.pyannote[2984].start |
14215.96971875 |
transcript.pyannote[2984].end |
14216.50971875 |
transcript.pyannote[2985].speaker |
SPEAKER_17 |
transcript.pyannote[2985].start |
14217.38721875 |
transcript.pyannote[2985].end |
14220.89721875 |
transcript.pyannote[2986].speaker |
SPEAKER_02 |
transcript.pyannote[2986].start |
14220.66096875 |
transcript.pyannote[2986].end |
14225.20034375 |
transcript.pyannote[2987].speaker |
SPEAKER_17 |
transcript.pyannote[2987].start |
14224.28909375 |
transcript.pyannote[2987].end |
14224.98096875 |
transcript.pyannote[2988].speaker |
SPEAKER_17 |
transcript.pyannote[2988].start |
14225.87534375 |
transcript.pyannote[2988].end |
14227.03971875 |
transcript.pyannote[2989].speaker |
SPEAKER_02 |
transcript.pyannote[2989].start |
14227.81596875 |
transcript.pyannote[2989].end |
14228.32221875 |
transcript.pyannote[2990].speaker |
SPEAKER_17 |
transcript.pyannote[2990].start |
14228.52471875 |
transcript.pyannote[2990].end |
14228.89596875 |
transcript.pyannote[2991].speaker |
SPEAKER_02 |
transcript.pyannote[2991].start |
14229.28409375 |
transcript.pyannote[2991].end |
14245.29846875 |
transcript.pyannote[2992].speaker |
SPEAKER_17 |
transcript.pyannote[2992].start |
14233.28346875 |
transcript.pyannote[2992].end |
14233.63784375 |
transcript.pyannote[2993].speaker |
SPEAKER_17 |
transcript.pyannote[2993].start |
14236.60784375 |
transcript.pyannote[2993].end |
14236.86096875 |
transcript.pyannote[2994].speaker |
SPEAKER_02 |
transcript.pyannote[2994].start |
14245.46721875 |
transcript.pyannote[2994].end |
14260.82346875 |
transcript.pyannote[2995].speaker |
SPEAKER_14 |
transcript.pyannote[2995].start |
14251.52534375 |
transcript.pyannote[2995].end |
14251.72784375 |
transcript.pyannote[2996].speaker |
SPEAKER_18 |
transcript.pyannote[2996].start |
14253.26346875 |
transcript.pyannote[2996].end |
14253.28034375 |
transcript.pyannote[2997].speaker |
SPEAKER_14 |
transcript.pyannote[2997].start |
14253.28034375 |
transcript.pyannote[2997].end |
14253.97221875 |
transcript.pyannote[2998].speaker |
SPEAKER_18 |
transcript.pyannote[2998].start |
14253.97221875 |
transcript.pyannote[2998].end |
14254.14096875 |
transcript.pyannote[2999].speaker |
SPEAKER_17 |
transcript.pyannote[2999].start |
14254.14096875 |
transcript.pyannote[2999].end |
14254.95096875 |
transcript.pyannote[3000].speaker |
SPEAKER_17 |
transcript.pyannote[3000].start |
14260.13159375 |
transcript.pyannote[3000].end |
14262.79784375 |
transcript.pyannote[3001].speaker |
SPEAKER_02 |
transcript.pyannote[3001].start |
14261.00909375 |
transcript.pyannote[3001].end |
14261.58284375 |
transcript.pyannote[3002].speaker |
SPEAKER_02 |
transcript.pyannote[3002].start |
14262.73034375 |
transcript.pyannote[3002].end |
14264.33346875 |
transcript.pyannote[3003].speaker |
SPEAKER_17 |
transcript.pyannote[3003].start |
14263.30409375 |
transcript.pyannote[3003].end |
14263.86096875 |
transcript.pyannote[3004].speaker |
SPEAKER_17 |
transcript.pyannote[3004].start |
14264.33346875 |
transcript.pyannote[3004].end |
14264.85659375 |
transcript.pyannote[3005].speaker |
SPEAKER_17 |
transcript.pyannote[3005].start |
14265.19409375 |
transcript.pyannote[3005].end |
14279.89221875 |
transcript.pyannote[3006].speaker |
SPEAKER_02 |
transcript.pyannote[3006].start |
14266.49346875 |
transcript.pyannote[3006].end |
14267.50596875 |
transcript.pyannote[3007].speaker |
SPEAKER_02 |
transcript.pyannote[3007].start |
14268.58596875 |
transcript.pyannote[3007].end |
14270.52659375 |
transcript.pyannote[3008].speaker |
SPEAKER_02 |
transcript.pyannote[3008].start |
14270.89784375 |
transcript.pyannote[3008].end |
14273.74971875 |
transcript.pyannote[3009].speaker |
SPEAKER_02 |
transcript.pyannote[3009].start |
14279.63909375 |
transcript.pyannote[3009].end |
14285.89971875 |
transcript.pyannote[3010].speaker |
SPEAKER_17 |
transcript.pyannote[3010].start |
14282.82846875 |
transcript.pyannote[3010].end |
14283.73971875 |
transcript.pyannote[3011].speaker |
SPEAKER_17 |
transcript.pyannote[3011].start |
14285.14034375 |
transcript.pyannote[3011].end |
14287.65471875 |
transcript.pyannote[3012].speaker |
SPEAKER_02 |
transcript.pyannote[3012].start |
14287.65471875 |
transcript.pyannote[3012].end |
14304.93471875 |
transcript.pyannote[3013].speaker |
SPEAKER_17 |
transcript.pyannote[3013].start |
14298.11721875 |
transcript.pyannote[3013].end |
14299.31534375 |
transcript.pyannote[3014].speaker |
SPEAKER_17 |
transcript.pyannote[3014].start |
14304.24284375 |
transcript.pyannote[3014].end |
14308.49534375 |
transcript.pyannote[3015].speaker |
SPEAKER_17 |
transcript.pyannote[3015].start |
14309.01846875 |
transcript.pyannote[3015].end |
14314.45221875 |
transcript.pyannote[3016].speaker |
SPEAKER_02 |
transcript.pyannote[3016].start |
14313.00096875 |
transcript.pyannote[3016].end |
14321.47221875 |
transcript.pyannote[3017].speaker |
SPEAKER_17 |
transcript.pyannote[3017].start |
14318.82284375 |
transcript.pyannote[3017].end |
14323.68284375 |
transcript.pyannote[3018].speaker |
SPEAKER_17 |
transcript.pyannote[3018].start |
14323.96971875 |
transcript.pyannote[3018].end |
14325.64034375 |
transcript.pyannote[3019].speaker |
SPEAKER_02 |
transcript.pyannote[3019].start |
14324.18909375 |
transcript.pyannote[3019].end |
14324.77971875 |
transcript.pyannote[3020].speaker |
SPEAKER_17 |
transcript.pyannote[3020].start |
14326.01159375 |
transcript.pyannote[3020].end |
14329.63971875 |
transcript.pyannote[3021].speaker |
SPEAKER_02 |
transcript.pyannote[3021].start |
14329.25159375 |
transcript.pyannote[3021].end |
14330.65221875 |
transcript.pyannote[3022].speaker |
SPEAKER_17 |
transcript.pyannote[3022].start |
14330.65221875 |
transcript.pyannote[3022].end |
14330.66909375 |
transcript.pyannote[3023].speaker |
SPEAKER_17 |
transcript.pyannote[3023].start |
14330.80409375 |
transcript.pyannote[3023].end |
14331.88409375 |
transcript.pyannote[3024].speaker |
SPEAKER_17 |
transcript.pyannote[3024].start |
14331.90096875 |
transcript.pyannote[3024].end |
14332.13721875 |
transcript.pyannote[3025].speaker |
SPEAKER_02 |
transcript.pyannote[3025].start |
14332.13721875 |
transcript.pyannote[3025].end |
14332.40721875 |
transcript.pyannote[3026].speaker |
SPEAKER_17 |
transcript.pyannote[3026].start |
14332.40721875 |
transcript.pyannote[3026].end |
14336.42346875 |
transcript.pyannote[3027].speaker |
SPEAKER_02 |
transcript.pyannote[3027].start |
14333.85846875 |
transcript.pyannote[3027].end |
14334.33096875 |
transcript.pyannote[3028].speaker |
SPEAKER_17 |
transcript.pyannote[3028].start |
14337.08159375 |
transcript.pyannote[3028].end |
14338.80284375 |
transcript.pyannote[3029].speaker |
SPEAKER_17 |
transcript.pyannote[3029].start |
14339.59596875 |
transcript.pyannote[3029].end |
14341.99221875 |
transcript.pyannote[3030].speaker |
SPEAKER_02 |
transcript.pyannote[3030].start |
14342.76846875 |
transcript.pyannote[3030].end |
14344.03409375 |
transcript.pyannote[3031].speaker |
SPEAKER_02 |
transcript.pyannote[3031].start |
14345.24909375 |
transcript.pyannote[3031].end |
14345.26596875 |
transcript.pyannote[3032].speaker |
SPEAKER_17 |
transcript.pyannote[3032].start |
14345.26596875 |
transcript.pyannote[3032].end |
14345.28284375 |
transcript.pyannote[3033].speaker |
SPEAKER_02 |
transcript.pyannote[3033].start |
14345.28284375 |
transcript.pyannote[3033].end |
14347.39221875 |
transcript.pyannote[3034].speaker |
SPEAKER_17 |
transcript.pyannote[3034].start |
14345.29971875 |
transcript.pyannote[3034].end |
14345.77221875 |
transcript.pyannote[3035].speaker |
SPEAKER_17 |
transcript.pyannote[3035].start |
14346.53159375 |
transcript.pyannote[3035].end |
14350.42971875 |
transcript.pyannote[3036].speaker |
SPEAKER_02 |
transcript.pyannote[3036].start |
14349.43409375 |
transcript.pyannote[3036].end |
14358.20909375 |
transcript.pyannote[3037].speaker |
SPEAKER_17 |
transcript.pyannote[3037].start |
14352.10034375 |
transcript.pyannote[3037].end |
14352.28596875 |
transcript.pyannote[3038].speaker |
SPEAKER_17 |
transcript.pyannote[3038].start |
14355.96471875 |
transcript.pyannote[3038].end |
14362.86659375 |
transcript.pyannote[3039].speaker |
SPEAKER_17 |
transcript.pyannote[3039].start |
14362.96784375 |
transcript.pyannote[3039].end |
14367.91221875 |
transcript.pyannote[3040].speaker |
SPEAKER_02 |
transcript.pyannote[3040].start |
14367.25409375 |
transcript.pyannote[3040].end |
14367.87846875 |
transcript.pyannote[3041].speaker |
SPEAKER_02 |
transcript.pyannote[3041].start |
14367.91221875 |
transcript.pyannote[3041].end |
14382.25596875 |
transcript.pyannote[3042].speaker |
SPEAKER_17 |
transcript.pyannote[3042].start |
14368.63784375 |
transcript.pyannote[3042].end |
14369.04284375 |
transcript.pyannote[3043].speaker |
SPEAKER_17 |
transcript.pyannote[3043].start |
14369.46471875 |
transcript.pyannote[3043].end |
14369.92034375 |
transcript.pyannote[3044].speaker |
SPEAKER_17 |
transcript.pyannote[3044].start |
14374.93221875 |
transcript.pyannote[3044].end |
14377.10909375 |
transcript.pyannote[3045].speaker |
SPEAKER_17 |
transcript.pyannote[3045].start |
14378.00346875 |
transcript.pyannote[3045].end |
14378.17221875 |
transcript.pyannote[3046].speaker |
SPEAKER_17 |
transcript.pyannote[3046].start |
14379.55596875 |
transcript.pyannote[3046].end |
14384.70284375 |
transcript.pyannote[3047].speaker |
SPEAKER_02 |
transcript.pyannote[3047].start |
14382.66096875 |
transcript.pyannote[3047].end |
14384.78721875 |
transcript.pyannote[3048].speaker |
SPEAKER_02 |
transcript.pyannote[3048].start |
14385.07409375 |
transcript.pyannote[3048].end |
14394.32159375 |
transcript.pyannote[3049].speaker |
SPEAKER_02 |
transcript.pyannote[3049].start |
14394.43971875 |
transcript.pyannote[3049].end |
14430.63659375 |
transcript.pyannote[3050].speaker |
SPEAKER_13 |
transcript.pyannote[3050].start |
14409.64409375 |
transcript.pyannote[3050].end |
14410.08284375 |
transcript.pyannote[3051].speaker |
SPEAKER_13 |
transcript.pyannote[3051].start |
14411.17971875 |
transcript.pyannote[3051].end |
14411.71971875 |
transcript.pyannote[3052].speaker |
SPEAKER_13 |
transcript.pyannote[3052].start |
14415.36471875 |
transcript.pyannote[3052].end |
14416.39409375 |
transcript.pyannote[3053].speaker |
SPEAKER_13 |
transcript.pyannote[3053].start |
14417.89596875 |
transcript.pyannote[3053].end |
14418.67221875 |
transcript.pyannote[3054].speaker |
SPEAKER_13 |
transcript.pyannote[3054].start |
14421.87846875 |
transcript.pyannote[3054].end |
14421.92909375 |
transcript.pyannote[3055].speaker |
SPEAKER_13 |
transcript.pyannote[3055].start |
14422.55346875 |
transcript.pyannote[3055].end |
14423.02596875 |
transcript.pyannote[3056].speaker |
SPEAKER_02 |
transcript.pyannote[3056].start |
14430.77159375 |
transcript.pyannote[3056].end |
14455.94909375 |
transcript.pyannote[3057].speaker |
SPEAKER_00 |
transcript.pyannote[3057].start |
14452.38846875 |
transcript.pyannote[3057].end |
14452.45596875 |
transcript.pyannote[3058].speaker |
SPEAKER_14 |
transcript.pyannote[3058].start |
14452.45596875 |
transcript.pyannote[3058].end |
14452.74284375 |
transcript.pyannote[3059].speaker |
SPEAKER_00 |
transcript.pyannote[3059].start |
14452.74284375 |
transcript.pyannote[3059].end |
14452.87784375 |
transcript.pyannote[3060].speaker |
SPEAKER_00 |
transcript.pyannote[3060].start |
14454.36284375 |
transcript.pyannote[3060].end |
14454.39659375 |
transcript.pyannote[3061].speaker |
SPEAKER_14 |
transcript.pyannote[3061].start |
14454.39659375 |
transcript.pyannote[3061].end |
14454.66659375 |
transcript.pyannote[3062].speaker |
SPEAKER_02 |
transcript.pyannote[3062].start |
14456.06721875 |
transcript.pyannote[3062].end |
14499.35159375 |
transcript.pyannote[3063].speaker |
SPEAKER_17 |
transcript.pyannote[3063].start |
14499.48659375 |
transcript.pyannote[3063].end |
14505.07221875 |
transcript.pyannote[3064].speaker |
SPEAKER_17 |
transcript.pyannote[3064].start |
14505.46034375 |
transcript.pyannote[3064].end |
14505.96659375 |
transcript.pyannote[3065].speaker |
SPEAKER_17 |
transcript.pyannote[3065].start |
14506.25346875 |
transcript.pyannote[3065].end |
14507.35034375 |
transcript.pyannote[3066].speaker |
SPEAKER_17 |
transcript.pyannote[3066].start |
14507.41784375 |
transcript.pyannote[3066].end |
14515.75409375 |
transcript.pyannote[3067].speaker |
SPEAKER_17 |
transcript.pyannote[3067].start |
14516.00721875 |
transcript.pyannote[3067].end |
14522.21721875 |
transcript.pyannote[3068].speaker |
SPEAKER_14 |
transcript.pyannote[3068].start |
14522.35221875 |
transcript.pyannote[3068].end |
14522.52096875 |
transcript.pyannote[3069].speaker |
SPEAKER_17 |
transcript.pyannote[3069].start |
14522.52096875 |
transcript.pyannote[3069].end |
14526.41909375 |
transcript.pyannote[3070].speaker |
SPEAKER_02 |
transcript.pyannote[3070].start |
14526.41909375 |
transcript.pyannote[3070].end |
14526.43596875 |
transcript.pyannote[3071].speaker |
SPEAKER_17 |
transcript.pyannote[3071].start |
14526.43596875 |
transcript.pyannote[3071].end |
14528.66346875 |
transcript.pyannote[3072].speaker |
SPEAKER_02 |
transcript.pyannote[3072].start |
14529.30471875 |
transcript.pyannote[3072].end |
14575.87971875 |
transcript.pyannote[3073].speaker |
SPEAKER_17 |
transcript.pyannote[3073].start |
14532.20721875 |
transcript.pyannote[3073].end |
14536.15596875 |
transcript.pyannote[3074].speaker |
SPEAKER_17 |
transcript.pyannote[3074].start |
14538.01221875 |
transcript.pyannote[3074].end |
14539.48034375 |
transcript.pyannote[3075].speaker |
SPEAKER_17 |
transcript.pyannote[3075].start |
14544.61034375 |
transcript.pyannote[3075].end |
14544.86346875 |
transcript.pyannote[3076].speaker |
SPEAKER_17 |
transcript.pyannote[3076].start |
14547.29346875 |
transcript.pyannote[3076].end |
14547.69846875 |
transcript.pyannote[3077].speaker |
SPEAKER_04 |
transcript.pyannote[3077].start |
14552.18721875 |
transcript.pyannote[3077].end |
14552.67659375 |
transcript.pyannote[3078].speaker |
SPEAKER_00 |
transcript.pyannote[3078].start |
14552.67659375 |
transcript.pyannote[3078].end |
14552.71034375 |
transcript.pyannote[3079].speaker |
SPEAKER_04 |
transcript.pyannote[3079].start |
14554.04346875 |
transcript.pyannote[3079].end |
14554.41471875 |
transcript.pyannote[3080].speaker |
SPEAKER_00 |
transcript.pyannote[3080].start |
14554.41471875 |
transcript.pyannote[3080].end |
14554.48221875 |
transcript.pyannote[3081].speaker |
SPEAKER_00 |
transcript.pyannote[3081].start |
14555.05596875 |
transcript.pyannote[3081].end |
14555.39346875 |
transcript.pyannote[3082].speaker |
SPEAKER_00 |
transcript.pyannote[3082].start |
14562.07596875 |
transcript.pyannote[3082].end |
14562.26159375 |
transcript.pyannote[3083].speaker |
SPEAKER_17 |
transcript.pyannote[3083].start |
14562.68346875 |
transcript.pyannote[3083].end |
14562.70034375 |
transcript.pyannote[3084].speaker |
SPEAKER_13 |
transcript.pyannote[3084].start |
14562.70034375 |
transcript.pyannote[3084].end |
14562.98721875 |
transcript.pyannote[3085].speaker |
SPEAKER_17 |
transcript.pyannote[3085].start |
14562.98721875 |
transcript.pyannote[3085].end |
14563.00409375 |
transcript.pyannote[3086].speaker |
SPEAKER_17 |
transcript.pyannote[3086].start |
14569.18034375 |
transcript.pyannote[3086].end |
14570.37846875 |
transcript.pyannote[3087].speaker |
SPEAKER_17 |
transcript.pyannote[3087].start |
14571.66096875 |
transcript.pyannote[3087].end |
14572.20096875 |
transcript.pyannote[3088].speaker |
SPEAKER_17 |
transcript.pyannote[3088].start |
14575.87971875 |
transcript.pyannote[3088].end |
14589.56534375 |
transcript.pyannote[3089].speaker |
SPEAKER_02 |
transcript.pyannote[3089].start |
14575.96409375 |
transcript.pyannote[3089].end |
14576.23409375 |
transcript.pyannote[3090].speaker |
SPEAKER_02 |
transcript.pyannote[3090].start |
14579.45721875 |
transcript.pyannote[3090].end |
14579.71034375 |
transcript.pyannote[3091].speaker |
SPEAKER_02 |
transcript.pyannote[3091].start |
14588.50221875 |
transcript.pyannote[3091].end |
14608.29659375 |
transcript.pyannote[3092].speaker |
SPEAKER_17 |
transcript.pyannote[3092].start |
14590.17284375 |
transcript.pyannote[3092].end |
14590.51034375 |
transcript.pyannote[3093].speaker |
SPEAKER_17 |
transcript.pyannote[3093].start |
14591.26971875 |
transcript.pyannote[3093].end |
14591.91096875 |
transcript.pyannote[3094].speaker |
SPEAKER_17 |
transcript.pyannote[3094].start |
14592.58596875 |
transcript.pyannote[3094].end |
14593.00784375 |
transcript.pyannote[3095].speaker |
SPEAKER_13 |
transcript.pyannote[3095].start |
14593.00784375 |
transcript.pyannote[3095].end |
14593.05846875 |
transcript.pyannote[3096].speaker |
SPEAKER_13 |
transcript.pyannote[3096].start |
14593.95284375 |
transcript.pyannote[3096].end |
14593.96971875 |
transcript.pyannote[3097].speaker |
SPEAKER_17 |
transcript.pyannote[3097].start |
14593.96971875 |
transcript.pyannote[3097].end |
14594.17221875 |
transcript.pyannote[3098].speaker |
SPEAKER_17 |
transcript.pyannote[3098].start |
14594.44221875 |
transcript.pyannote[3098].end |
14594.96534375 |
transcript.pyannote[3099].speaker |
SPEAKER_17 |
transcript.pyannote[3099].start |
14596.87221875 |
transcript.pyannote[3099].end |
14596.88909375 |
transcript.pyannote[3100].speaker |
SPEAKER_13 |
transcript.pyannote[3100].start |
14596.88909375 |
transcript.pyannote[3100].end |
14597.05784375 |
transcript.pyannote[3101].speaker |
SPEAKER_13 |
transcript.pyannote[3101].start |
14598.25596875 |
transcript.pyannote[3101].end |
14598.77909375 |
transcript.pyannote[3102].speaker |
SPEAKER_13 |
transcript.pyannote[3102].start |
14599.63971875 |
transcript.pyannote[3102].end |
14599.90971875 |
transcript.pyannote[3103].speaker |
SPEAKER_13 |
transcript.pyannote[3103].start |
14600.31471875 |
transcript.pyannote[3103].end |
14600.88846875 |
transcript.pyannote[3104].speaker |
SPEAKER_13 |
transcript.pyannote[3104].start |
14608.29659375 |
transcript.pyannote[3104].end |
14608.61721875 |
transcript.pyannote[3105].speaker |
SPEAKER_02 |
transcript.pyannote[3105].start |
14608.53284375 |
transcript.pyannote[3105].end |
14635.21221875 |
transcript.pyannote[3106].speaker |
SPEAKER_14 |
transcript.pyannote[3106].start |
14625.61034375 |
transcript.pyannote[3106].end |
14626.75784375 |
transcript.pyannote[3107].speaker |
SPEAKER_14 |
transcript.pyannote[3107].start |
14626.94346875 |
transcript.pyannote[3107].end |
14627.97284375 |
transcript.pyannote[3108].speaker |
SPEAKER_18 |
transcript.pyannote[3108].start |
14627.97284375 |
transcript.pyannote[3108].end |
14628.04034375 |
transcript.pyannote[3109].speaker |
SPEAKER_14 |
transcript.pyannote[3109].start |
14628.04034375 |
transcript.pyannote[3109].end |
14628.41159375 |
transcript.pyannote[3110].speaker |
SPEAKER_18 |
transcript.pyannote[3110].start |
14628.41159375 |
transcript.pyannote[3110].end |
14629.72784375 |
transcript.pyannote[3111].speaker |
SPEAKER_00 |
transcript.pyannote[3111].start |
14629.72784375 |
transcript.pyannote[3111].end |
14629.74471875 |
transcript.pyannote[3112].speaker |
SPEAKER_14 |
transcript.pyannote[3112].start |
14630.55471875 |
transcript.pyannote[3112].end |
14630.57159375 |
transcript.pyannote[3113].speaker |
SPEAKER_18 |
transcript.pyannote[3113].start |
14630.57159375 |
transcript.pyannote[3113].end |
14630.89221875 |
transcript.pyannote[3114].speaker |
SPEAKER_14 |
transcript.pyannote[3114].start |
14630.89221875 |
transcript.pyannote[3114].end |
14630.92596875 |
transcript.pyannote[3115].speaker |
SPEAKER_08 |
transcript.pyannote[3115].start |
14631.51659375 |
transcript.pyannote[3115].end |
14631.88784375 |
transcript.pyannote[3116].speaker |
SPEAKER_02 |
transcript.pyannote[3116].start |
14635.38096875 |
transcript.pyannote[3116].end |
14645.70846875 |
transcript.pyannote[3117].speaker |
SPEAKER_17 |
transcript.pyannote[3117].start |
14642.11409375 |
transcript.pyannote[3117].end |
14642.82284375 |
transcript.pyannote[3118].speaker |
SPEAKER_20 |
transcript.pyannote[3118].start |
14642.82284375 |
transcript.pyannote[3118].end |
14642.83971875 |
transcript.pyannote[3119].speaker |
SPEAKER_02 |
transcript.pyannote[3119].start |
14646.23159375 |
transcript.pyannote[3119].end |
14649.52221875 |
transcript.pyannote[3120].speaker |
SPEAKER_17 |
transcript.pyannote[3120].start |
14648.42534375 |
transcript.pyannote[3120].end |
14671.49346875 |
transcript.pyannote[3121].speaker |
SPEAKER_17 |
transcript.pyannote[3121].start |
14671.74659375 |
transcript.pyannote[3121].end |
14681.98971875 |
transcript.pyannote[3122].speaker |
SPEAKER_02 |
transcript.pyannote[3122].start |
14675.03721875 |
transcript.pyannote[3122].end |
14675.86409375 |
transcript.pyannote[3123].speaker |
SPEAKER_14 |
transcript.pyannote[3123].start |
14682.14159375 |
transcript.pyannote[3123].end |
14682.19221875 |
transcript.pyannote[3124].speaker |
SPEAKER_17 |
transcript.pyannote[3124].start |
14682.19221875 |
transcript.pyannote[3124].end |
14698.13909375 |
transcript.pyannote[3125].speaker |
SPEAKER_14 |
transcript.pyannote[3125].start |
14685.21284375 |
transcript.pyannote[3125].end |
14685.31409375 |
transcript.pyannote[3126].speaker |
SPEAKER_02 |
transcript.pyannote[3126].start |
14685.31409375 |
transcript.pyannote[3126].end |
14685.68534375 |
transcript.pyannote[3127].speaker |
SPEAKER_02 |
transcript.pyannote[3127].start |
14688.06471875 |
transcript.pyannote[3127].end |
14690.34284375 |
transcript.pyannote[3128].speaker |
SPEAKER_02 |
transcript.pyannote[3128].start |
14698.17284375 |
transcript.pyannote[3128].end |
14698.67909375 |
transcript.pyannote[3129].speaker |
SPEAKER_02 |
transcript.pyannote[3129].start |
14698.91534375 |
transcript.pyannote[3129].end |
14700.72096875 |
transcript.pyannote[3130].speaker |
SPEAKER_02 |
transcript.pyannote[3130].start |
14700.82221875 |
transcript.pyannote[3130].end |
14700.83909375 |
transcript.pyannote[3131].speaker |
SPEAKER_17 |
transcript.pyannote[3131].start |
14700.83909375 |
transcript.pyannote[3131].end |
14700.85596875 |
transcript.pyannote[3132].speaker |
SPEAKER_02 |
transcript.pyannote[3132].start |
14700.85596875 |
transcript.pyannote[3132].end |
14702.40846875 |
transcript.pyannote[3133].speaker |
SPEAKER_17 |
transcript.pyannote[3133].start |
14700.90659375 |
transcript.pyannote[3133].end |
14701.00784375 |
transcript.pyannote[3134].speaker |
SPEAKER_17 |
transcript.pyannote[3134].start |
14701.04159375 |
transcript.pyannote[3134].end |
14701.05846875 |
transcript.pyannote[3135].speaker |
SPEAKER_17 |
transcript.pyannote[3135].start |
14704.68659375 |
transcript.pyannote[3135].end |
14708.33159375 |
transcript.pyannote[3136].speaker |
SPEAKER_02 |
transcript.pyannote[3136].start |
14706.99846875 |
transcript.pyannote[3136].end |
14710.20471875 |
transcript.pyannote[3137].speaker |
SPEAKER_17 |
transcript.pyannote[3137].start |
14710.60971875 |
transcript.pyannote[3137].end |
14719.89096875 |
transcript.pyannote[3138].speaker |
SPEAKER_02 |
transcript.pyannote[3138].start |
14720.27909375 |
transcript.pyannote[3138].end |
14721.30846875 |
transcript.pyannote[3139].speaker |
SPEAKER_02 |
transcript.pyannote[3139].start |
14721.52784375 |
transcript.pyannote[3139].end |
14722.67534375 |
transcript.pyannote[3140].speaker |
SPEAKER_17 |
transcript.pyannote[3140].start |
14722.87784375 |
transcript.pyannote[3140].end |
14723.29971875 |
transcript.pyannote[3141].speaker |
SPEAKER_02 |
transcript.pyannote[3141].start |
14723.29971875 |
transcript.pyannote[3141].end |
14724.98721875 |
transcript.pyannote[3142].speaker |
SPEAKER_17 |
transcript.pyannote[3142].start |
14725.96596875 |
transcript.pyannote[3142].end |
14727.36659375 |
transcript.pyannote[3143].speaker |
SPEAKER_02 |
transcript.pyannote[3143].start |
14727.36659375 |
transcript.pyannote[3143].end |
14731.77096875 |
transcript.pyannote[3144].speaker |
SPEAKER_02 |
transcript.pyannote[3144].start |
14732.15909375 |
transcript.pyannote[3144].end |
14734.03221875 |
transcript.pyannote[3145].speaker |
SPEAKER_17 |
transcript.pyannote[3145].start |
14733.93096875 |
transcript.pyannote[3145].end |
14733.96471875 |
transcript.pyannote[3146].speaker |
SPEAKER_13 |
transcript.pyannote[3146].start |
14734.03221875 |
transcript.pyannote[3146].end |
14734.06596875 |
transcript.pyannote[3147].speaker |
SPEAKER_02 |
transcript.pyannote[3147].start |
14734.06596875 |
transcript.pyannote[3147].end |
14735.56784375 |
transcript.pyannote[3148].speaker |
SPEAKER_13 |
transcript.pyannote[3148].start |
14734.08284375 |
transcript.pyannote[3148].end |
14734.13346875 |
transcript.pyannote[3149].speaker |
SPEAKER_17 |
transcript.pyannote[3149].start |
14734.13346875 |
transcript.pyannote[3149].end |
14734.25159375 |
transcript.pyannote[3150].speaker |
SPEAKER_02 |
transcript.pyannote[3150].start |
14736.12471875 |
transcript.pyannote[3150].end |
14739.80346875 |
transcript.pyannote[3151].speaker |
SPEAKER_17 |
transcript.pyannote[3151].start |
14740.03971875 |
transcript.pyannote[3151].end |
14740.44471875 |
transcript.pyannote[3152].speaker |
SPEAKER_14 |
transcript.pyannote[3152].start |
14740.44471875 |
transcript.pyannote[3152].end |
14740.46159375 |
transcript.pyannote[3153].speaker |
SPEAKER_02 |
transcript.pyannote[3153].start |
14740.46159375 |
transcript.pyannote[3153].end |
14745.45659375 |
transcript.pyannote[3154].speaker |
SPEAKER_17 |
transcript.pyannote[3154].start |
14743.56659375 |
transcript.pyannote[3154].end |
14743.61721875 |
transcript.pyannote[3155].speaker |
SPEAKER_14 |
transcript.pyannote[3155].start |
14743.61721875 |
transcript.pyannote[3155].end |
14743.71846875 |
transcript.pyannote[3156].speaker |
SPEAKER_17 |
transcript.pyannote[3156].start |
14743.71846875 |
transcript.pyannote[3156].end |
14743.78596875 |
transcript.pyannote[3157].speaker |
SPEAKER_14 |
transcript.pyannote[3157].start |
14744.41034375 |
transcript.pyannote[3157].end |
14744.44409375 |
transcript.pyannote[3158].speaker |
SPEAKER_17 |
transcript.pyannote[3158].start |
14744.44409375 |
transcript.pyannote[3158].end |
14744.83221875 |
transcript.pyannote[3159].speaker |
SPEAKER_02 |
transcript.pyannote[3159].start |
14746.58721875 |
transcript.pyannote[3159].end |
14747.04284375 |
transcript.pyannote[3160].speaker |
SPEAKER_02 |
transcript.pyannote[3160].start |
14747.81909375 |
transcript.pyannote[3160].end |
14753.13471875 |
transcript.pyannote[3161].speaker |
SPEAKER_13 |
transcript.pyannote[3161].start |
14752.98284375 |
transcript.pyannote[3161].end |
14753.08409375 |
transcript.pyannote[3162].speaker |
SPEAKER_13 |
transcript.pyannote[3162].start |
14753.13471875 |
transcript.pyannote[3162].end |
14753.23596875 |
transcript.pyannote[3163].speaker |
SPEAKER_02 |
transcript.pyannote[3163].start |
14753.23596875 |
transcript.pyannote[3163].end |
14767.34346875 |
transcript.pyannote[3164].speaker |
SPEAKER_13 |
transcript.pyannote[3164].start |
14753.28659375 |
transcript.pyannote[3164].end |
14753.32034375 |
transcript.pyannote[3165].speaker |
SPEAKER_13 |
transcript.pyannote[3165].start |
14757.13409375 |
transcript.pyannote[3165].end |
14757.42096875 |
transcript.pyannote[3166].speaker |
SPEAKER_00 |
transcript.pyannote[3166].start |
14763.24284375 |
transcript.pyannote[3166].end |
14763.32721875 |
transcript.pyannote[3167].speaker |
SPEAKER_03 |
transcript.pyannote[3167].start |
14763.32721875 |
transcript.pyannote[3167].end |
14763.41159375 |
transcript.pyannote[3168].speaker |
SPEAKER_00 |
transcript.pyannote[3168].start |
14763.41159375 |
transcript.pyannote[3168].end |
14763.46221875 |
transcript.pyannote[3169].speaker |
SPEAKER_00 |
transcript.pyannote[3169].start |
14764.44096875 |
transcript.pyannote[3169].end |
14764.71096875 |
transcript.pyannote[3170].speaker |
SPEAKER_02 |
transcript.pyannote[3170].start |
14767.61346875 |
transcript.pyannote[3170].end |
14781.28221875 |
transcript.pyannote[3171].speaker |
SPEAKER_02 |
transcript.pyannote[3171].start |
14781.88971875 |
transcript.pyannote[3171].end |
14839.55159375 |
transcript.pyannote[3172].speaker |
SPEAKER_13 |
transcript.pyannote[3172].start |
14798.42721875 |
transcript.pyannote[3172].end |
14799.96284375 |
transcript.pyannote[3173].speaker |
SPEAKER_00 |
transcript.pyannote[3173].start |
14799.96284375 |
transcript.pyannote[3173].end |
14800.78971875 |
transcript.pyannote[3174].speaker |
SPEAKER_00 |
transcript.pyannote[3174].start |
14803.21971875 |
transcript.pyannote[3174].end |
14803.42221875 |
transcript.pyannote[3175].speaker |
SPEAKER_13 |
transcript.pyannote[3175].start |
14803.42221875 |
transcript.pyannote[3175].end |
14803.64159375 |
transcript.pyannote[3176].speaker |
SPEAKER_00 |
transcript.pyannote[3176].start |
14803.64159375 |
transcript.pyannote[3176].end |
14803.70909375 |
transcript.pyannote[3177].speaker |
SPEAKER_02 |
transcript.pyannote[3177].start |
14839.60221875 |
transcript.pyannote[3177].end |
14839.78784375 |
transcript.pyannote[3178].speaker |
SPEAKER_17 |
transcript.pyannote[3178].start |
14839.78784375 |
transcript.pyannote[3178].end |
14839.85534375 |
transcript.pyannote[3179].speaker |
SPEAKER_02 |
transcript.pyannote[3179].start |
14839.85534375 |
transcript.pyannote[3179].end |
14842.09971875 |
transcript.pyannote[3180].speaker |
SPEAKER_17 |
transcript.pyannote[3180].start |
14841.18846875 |
transcript.pyannote[3180].end |
14841.20534375 |
transcript.pyannote[3181].speaker |
SPEAKER_02 |
transcript.pyannote[3181].start |
14842.50471875 |
transcript.pyannote[3181].end |
14845.81221875 |
transcript.pyannote[3182].speaker |
SPEAKER_17 |
transcript.pyannote[3182].start |
14845.54221875 |
transcript.pyannote[3182].end |
14851.83659375 |
transcript.pyannote[3183].speaker |
SPEAKER_02 |
transcript.pyannote[3183].start |
14850.75659375 |
transcript.pyannote[3183].end |
14853.55784375 |
transcript.pyannote[3184].speaker |
SPEAKER_17 |
transcript.pyannote[3184].start |
14852.49471875 |
transcript.pyannote[3184].end |
14854.70534375 |
transcript.pyannote[3185].speaker |
SPEAKER_02 |
transcript.pyannote[3185].start |
14854.87409375 |
transcript.pyannote[3185].end |
14855.75159375 |
transcript.pyannote[3186].speaker |
SPEAKER_17 |
transcript.pyannote[3186].start |
14855.75159375 |
transcript.pyannote[3186].end |
14879.05596875 |
transcript.pyannote[3187].speaker |
SPEAKER_17 |
transcript.pyannote[3187].start |
14879.30909375 |
transcript.pyannote[3187].end |
14882.95409375 |
transcript.pyannote[3188].speaker |
SPEAKER_17 |
transcript.pyannote[3188].start |
14883.08909375 |
transcript.pyannote[3188].end |
14883.52784375 |
transcript.pyannote[3189].speaker |
SPEAKER_02 |
transcript.pyannote[3189].start |
14883.52784375 |
transcript.pyannote[3189].end |
14894.59784375 |
transcript.pyannote[3190].speaker |
SPEAKER_17 |
transcript.pyannote[3190].start |
14890.63221875 |
transcript.pyannote[3190].end |
14891.08784375 |
transcript.pyannote[3191].speaker |
SPEAKER_17 |
transcript.pyannote[3191].start |
14894.39534375 |
transcript.pyannote[3191].end |
14899.66034375 |
transcript.pyannote[3192].speaker |
SPEAKER_17 |
transcript.pyannote[3192].start |
14900.03159375 |
transcript.pyannote[3192].end |
14902.20846875 |
transcript.pyannote[3193].speaker |
SPEAKER_17 |
transcript.pyannote[3193].start |
14903.13659375 |
transcript.pyannote[3193].end |
14903.84534375 |
transcript.pyannote[3194].speaker |
SPEAKER_02 |
transcript.pyannote[3194].start |
14903.84534375 |
transcript.pyannote[3194].end |
14905.44846875 |
transcript.pyannote[3195].speaker |
SPEAKER_17 |
transcript.pyannote[3195].start |
14904.25034375 |
transcript.pyannote[3195].end |
14904.79034375 |
transcript.pyannote[3196].speaker |
SPEAKER_17 |
transcript.pyannote[3196].start |
14905.09409375 |
transcript.pyannote[3196].end |
14910.25784375 |
transcript.pyannote[3197].speaker |
SPEAKER_02 |
transcript.pyannote[3197].start |
14907.49034375 |
transcript.pyannote[3197].end |
14907.89534375 |
transcript.pyannote[3198].speaker |
SPEAKER_02 |
transcript.pyannote[3198].start |
14908.28346875 |
transcript.pyannote[3198].end |
14911.43909375 |
transcript.pyannote[3199].speaker |
SPEAKER_17 |
transcript.pyannote[3199].start |
14911.43909375 |
transcript.pyannote[3199].end |
14916.99096875 |
transcript.pyannote[3200].speaker |
SPEAKER_02 |
transcript.pyannote[3200].start |
14916.02909375 |
transcript.pyannote[3200].end |
14917.96971875 |
transcript.pyannote[3201].speaker |
SPEAKER_17 |
transcript.pyannote[3201].start |
14917.96971875 |
transcript.pyannote[3201].end |
14920.38284375 |
transcript.pyannote[3202].speaker |
SPEAKER_02 |
transcript.pyannote[3202].start |
14920.38284375 |
transcript.pyannote[3202].end |
14935.65471875 |
transcript.pyannote[3203].speaker |
SPEAKER_17 |
transcript.pyannote[3203].start |
14924.12909375 |
transcript.pyannote[3203].end |
14926.44096875 |
transcript.pyannote[3204].speaker |
SPEAKER_17 |
transcript.pyannote[3204].start |
14928.19596875 |
transcript.pyannote[3204].end |
14928.51659375 |
transcript.pyannote[3205].speaker |
SPEAKER_17 |
transcript.pyannote[3205].start |
14934.20346875 |
transcript.pyannote[3205].end |
14937.73034375 |
transcript.pyannote[3206].speaker |
SPEAKER_02 |
transcript.pyannote[3206].start |
14936.44784375 |
transcript.pyannote[3206].end |
14939.08034375 |
transcript.pyannote[3207].speaker |
SPEAKER_17 |
transcript.pyannote[3207].start |
14938.50659375 |
transcript.pyannote[3207].end |
14939.02971875 |
transcript.pyannote[3208].speaker |
SPEAKER_04 |
transcript.pyannote[3208].start |
14939.02971875 |
transcript.pyannote[3208].end |
14939.06346875 |
transcript.pyannote[3209].speaker |
SPEAKER_04 |
transcript.pyannote[3209].start |
14939.08034375 |
transcript.pyannote[3209].end |
14939.99159375 |
transcript.pyannote[3210].speaker |
SPEAKER_17 |
transcript.pyannote[3210].start |
14939.99159375 |
transcript.pyannote[3210].end |
14940.49784375 |
transcript.pyannote[3211].speaker |
SPEAKER_02 |
transcript.pyannote[3211].start |
14940.49784375 |
transcript.pyannote[3211].end |
14940.51471875 |
transcript.pyannote[3212].speaker |
SPEAKER_17 |
transcript.pyannote[3212].start |
14940.51471875 |
transcript.pyannote[3212].end |
14940.53159375 |
transcript.pyannote[3213].speaker |
SPEAKER_02 |
transcript.pyannote[3213].start |
14940.53159375 |
transcript.pyannote[3213].end |
14941.22346875 |
transcript.pyannote[3214].speaker |
SPEAKER_17 |
transcript.pyannote[3214].start |
14940.58221875 |
transcript.pyannote[3214].end |
14940.64971875 |
transcript.pyannote[3215].speaker |
SPEAKER_04 |
transcript.pyannote[3215].start |
14940.64971875 |
transcript.pyannote[3215].end |
14941.17284375 |
transcript.pyannote[3216].speaker |
SPEAKER_17 |
transcript.pyannote[3216].start |
14941.17284375 |
transcript.pyannote[3216].end |
14941.18971875 |
transcript.pyannote[3217].speaker |
SPEAKER_17 |
transcript.pyannote[3217].start |
14941.22346875 |
transcript.pyannote[3217].end |
14941.32471875 |
transcript.pyannote[3218].speaker |
SPEAKER_02 |
transcript.pyannote[3218].start |
14941.32471875 |
transcript.pyannote[3218].end |
14941.37534375 |
transcript.pyannote[3219].speaker |
SPEAKER_04 |
transcript.pyannote[3219].start |
14941.44284375 |
transcript.pyannote[3219].end |
14942.57346875 |
transcript.pyannote[3220].speaker |
SPEAKER_04 |
transcript.pyannote[3220].start |
14942.97846875 |
transcript.pyannote[3220].end |
14968.03784375 |
transcript.pyannote[3221].speaker |
SPEAKER_04 |
transcript.pyannote[3221].start |
14968.44284375 |
transcript.pyannote[3221].end |
14984.52471875 |
transcript.pyannote[3222].speaker |
SPEAKER_04 |
transcript.pyannote[3222].start |
14985.82409375 |
transcript.pyannote[3222].end |
14988.03471875 |
transcript.whisperx[0].start |
296.888 |
transcript.whisperx[0].end |
297.168 |
transcript.whisperx[0].text |
鲍鱼 |
transcript.whisperx[1].start |
495.755 |
transcript.whisperx[1].end |
499.241 |
transcript.whisperx[1].text |
MING PAO CANADA MANGA |
transcript.whisperx[2].start |
546.101 |
transcript.whisperx[2].end |
547.361 |
transcript.whisperx[2].text |
谢谢观看 |
transcript.whisperx[3].start |
1197.988 |
transcript.whisperx[3].end |
1199.46 |
transcript.whisperx[3].text |
谢谢观看 |
transcript.whisperx[4].start |
1329.417 |
transcript.whisperx[4].end |
1329.498 |
transcript.whisperx[4].text |
谢谢观看 |
transcript.whisperx[5].start |
1505.606 |
transcript.whisperx[5].end |
1506.234 |
transcript.whisperx[5].text |
谢谢观看 欢迎订阅我的频道 |
transcript.whisperx[6].start |
1720.839 |
transcript.whisperx[6].end |
1731.964 |
transcript.whisperx[6].text |
請報告出席人數報告全體會出席委員11人已足法定人數現在開會進行報告事項請宣讀上次會議議事錄 |
transcript.whisperx[7].start |
1733.41 |
transcript.whisperx[7].end |
1754.816 |
transcript.whisperx[7].text |
立法院第十一屆第三會期經濟委員會第十四次全體委員會議事錄時間114年5月22日星期四九時至十二時四十九分地點紅樓101會議室出席委員邱益穎等十四人內席委員蘇巧慧等十人內席人員經濟部部長郭志輝國家發展委員會副主任委員高堅貴等主席蔡家綺委員異議報告之下 |
transcript.whisperx[8].start |
1755.436 |
transcript.whisperx[8].end |
1772.165 |
transcript.whisperx[8].text |
1.宣讀上次會議事錄決定與確定2.處理2014年度中央政府總預算有關經濟部及所屬主管預算凍結案等事務案1.經濟部行為2014年度中央政府總預算決議檢証該部水電座預算凍結200萬元書面報告案2.檢証產業技術師政策研究與推動計畫預算凍結15%書面報告案3.檢証投資促進師營養外國專業人才預算凍結200萬元書面報告案4.檢証資訊處 |
transcript.whisperx[9].start |
1785.292 |
transcript.whisperx[9].end |
1792.296 |
transcript.whisperx[9].text |
數位應用與資安韌性預算凍結60萬元輸入報告案5減創經濟部一般行政預算凍結100萬元輸入報告案6投資促進師減創投資促進投資預算凍結100萬元輸入報告案7減創產業技術師研發測試場域整建作業預算凍結1000萬元輸入報告案8減創產業發展發展署工業技術升級輔導預算凍結3000萬元輸入報告案9 |
transcript.whisperx[10].start |
1811.725 |
transcript.whisperx[10].end |
1833.012 |
transcript.whisperx[10].text |
減送產業發展署工業管理預算斷絕100萬元輸入報告案10.減送標準檢驗局及所屬標準檢驗及度證管理預算斷絕100萬元輸入報告案11.減送智慧財產局推動保護智慧財產權預算斷絕100萬元輸入報告案12.減送水利所及所屬水利建設及保育管理預算斷絕500萬元輸入報告案13.減送商業保 |
transcript.whisperx[11].start |
1835.353 |
transcript.whisperx[11].end |
1855.131 |
transcript.whisperx[11].text |
商業發展署促進商業科技的發展預算凍結200萬元的書面報告案14.檢証能源署能源國外與國際交流預算凍結100萬元的書面報告案是由檢証智慧財產局智慧財產權科技發展預算凍結2000萬元的書面報告案決定第1案至第15案書面報告均已送達預算均得以通知引據報告提到院會 |
transcript.whisperx[12].start |
1856.492 |
transcript.whisperx[12].end |
1863.273 |
transcript.whisperx[12].text |
3.處理114年度中央政府總預算有關國家發展委員會及所屬主管預算凍結案等實施案1. |
transcript.whisperx[13].start |
1863.273 |
transcript.whisperx[13].end |
1870.214 |
transcript.whisperx[13].text |
國家發展委員會韓衛114年度中央政府總預算決議減剩水利率預算凍結120數目報告案2. |
transcript.whisperx[14].start |
1870.214 |
transcript.whisperx[14].end |
1873.075 |
transcript.whisperx[14].text |
減剩第二目規劃及推斷國家發展計畫狀和業務預算凍結50萬元數目報告案3. |
transcript.whisperx[15].start |
1873.075 |
transcript.whisperx[15].end |
1875.976 |
transcript.whisperx[15].text |
減剩第三目研擬經濟政策協調推動財經措施預算凍結120數目報告案4. |
transcript.whisperx[16].start |
1875.976 |
transcript.whisperx[16].end |
1877.116 |
transcript.whisperx[16].text |
減剩第四目促進社會發展及計畫 |
transcript.whisperx[17].start |
1885.858 |
transcript.whisperx[17].end |
1898.626 |
transcript.whisperx[17].text |
審議協調預算凍結60萬元數目報告案5.減創第4幕建制以資料科學為基礎之社會政策治理機制計畫預算凍結200萬元數目報告案6.減創第5幕促進產業發展預算凍結1000萬元數目報告案7.減創第6幕促進人力資源發展預算凍結500萬元數目報告案8.減創第7幕健全國土規劃及經營管理預算凍結1000萬元數目報告案 |
transcript.whisperx[18].start |
1910.654 |
transcript.whisperx[18].end |
1916.458 |
transcript.whisperx[18].text |
9.檢証第7目地方創生之協調推動預算斷絕20%的署名報案10. |
transcript.whisperx[19].start |
1916.458 |
transcript.whisperx[19].end |
1920.181 |
transcript.whisperx[19].text |
檢証第7目永續發展計畫之協調推動預算斷絕220%的署名報案11. |
transcript.whisperx[20].start |
1920.181 |
transcript.whisperx[20].end |
1921.722 |
transcript.whisperx[20].text |
檢証第8目績效管理預算斷絕120%的署名報案12. |
transcript.whisperx[21].start |
1921.722 |
transcript.whisperx[21].end |
1926.105 |
transcript.whisperx[21].text |
檢証檔案管理局第2目檔案管理應用預算斷絕120%的署名報案13. |
transcript.whisperx[22].start |
1926.105 |
transcript.whisperx[22].end |
1928.446 |
transcript.whisperx[22].text |
檢証檔案管理局第4目 |
transcript.whisperx[23].start |
1933.65 |
transcript.whisperx[23].end |
1949.273 |
transcript.whisperx[23].text |
第四目 國家基益深化推廣預算斷絕1000萬元說明報告案十四 減算第六目 研議與協調推動人力資源相關政策及計劃預算斷絕150萬元說明報告案決定 第一項至第十四項說明報告金與預算金 |
transcript.whisperx[24].start |
1950.154 |
transcript.whisperx[24].end |
1962.072 |
transcript.whisperx[24].text |
等於當之理據報告提交院會談事項一審查114年度中央政府總預算有關經濟部及所有署主管預算凍結案等二次案一第一部行會114年度中央政府總預算決議簡註該部議會費預算凍結30%中央報告案 |
transcript.whisperx[25].start |
1966.906 |
transcript.whisperx[25].end |
1987.899 |
transcript.whisperx[25].text |
法案事項合併詢答經濟部部長郭志輝及國家發展委員會副主任委員高仙貴報告後委員區議員等17人提出質詢經由經濟部部長郭志輝及國家發展委員會副主任委員高仙貴等即席答覆登記發言委員除不在場者外均已發言完畢詢答結束委員組議員所提書面質詢列入紀錄刊登公報 |
transcript.whisperx[26].start |
1988.639 |
transcript.whisperx[26].end |
2003.812 |
transcript.whisperx[26].text |
書面質詢和未及答覆部分請相關單位與醫政院以書面答覆並複製本會2.經濟部考慮114年度中央政府總預算決議減算高度媒體政策及業務宣導費預算凍結62年書面報告案3.減算產業技術師科技專案預算凍結10%專案報告案4.減算產業技術師科技專案預算凍結2億元專案報告案5.減算經濟部建置橋外來台 |
transcript.whisperx[27].start |
2012.62 |
transcript.whisperx[27].end |
2020.063 |
transcript.whisperx[27].text |
南海投資全程線上化計畫預算凍結50%專案報告案6.減送經濟部運輸費預算凍結28%專案報告案7.減送經濟部運輸費預算凍結1000萬元專案報告案8.減送國營事業管理師管理預算凍結30億元專案報告案9.減送國營事業管理師基本行政工作維持預算凍結500萬元順便報告案專案報告案 |
transcript.whisperx[28].start |
2037.688 |
transcript.whisperx[28].end |
2045.071 |
transcript.whisperx[28].text |
10.檢証國營事業管理師基本行政工作核子預算凍結15%專案調查及究責檢討報告案11.檢証經濟部辦公廳設新建計劃預算凍結50%專案報告案12.檢証產業發展署業務費預算凍結30%專案報告案13.檢証國際貿易署業務費預算凍結30%專案報告案14.檢証標準捷運局及所署業務費預算凍結30%專案報告案15.檢証製作財產局 |
transcript.whisperx[29].start |
2064.958 |
transcript.whisperx[29].end |
2071.505 |
transcript.whisperx[29].text |
業務費預算凍結30%專案報告案16減送水利署及所屬業務費預算凍結10%專案報告案17減送水利署業務費預算凍結10%專案報告案18減送商業發展署業務費預算凍結30%專案報告案19減送中小及新創企業署 |
transcript.whisperx[30].start |
2080.614 |
transcript.whisperx[30].end |
2103.15 |
transcript.whisperx[30].text |
業務費預算凍結百分之三十專案報告案二十減送產業園區管理局業務費預算凍結百分之三十專案報告案二十一減送地質調查及礦業管理中心業務費預算凍結百分之三十專案報告案二十二減送民營署業務費預算凍結百分之五十專案報告案二十三減送民營署業務費預算凍結一千萬元專案報告案二十四減送民營署經濟特別收入基金預算凍結百分之二十專案報告案 |
transcript.whisperx[31].start |
2104.94 |
transcript.whisperx[31].end |
2116.709 |
transcript.whisperx[31].text |
決議第一案至第二次施案均同意當之明據報告提報院會2審查114年度中央證明總預算有關國家發展委員會及所屬主管預算凍結案等期案依國家發展委員會韓會114年度中央證明總預算決議檢証業務費預算凍結30%專案報告案2檢証 |
transcript.whisperx[32].start |
2122.452 |
transcript.whisperx[32].end |
2132.921 |
transcript.whisperx[32].text |
該會業務費預算凍結1500萬元專案書面報告案3.檢証第二幕規劃及推動國家發展發展計畫綜合業務預算凍結28%專案報告案4.檢証第二幕向下規劃國家發展計畫預算凍結30%專案報告案5.檢証第三幕財經新策略規劃研究預算凍結20%專案報告案6.檢証第四幕建構完善經營公正轉型及區域治理推動機制預算凍結500萬元專案報告案 |
transcript.whisperx[33].start |
2151.797 |
transcript.whisperx[33].end |
2176.679 |
transcript.whisperx[33].text |
7.檢証檔案管理局院會費預算凍結30%專案報告案9.第一案至第七案均同意通知,拟據報告提報院會3.繼續審查1.行政行情審議,個人資料保護法部分條件修正草案2.本院委員王美惠等18人拟據個人資料保護法部分條件修正草案3.本院委員羅廷偉等17人拟據個人資料保護法部分條件修正草案4.本院委員李坤成等16人拟據 |
transcript.whisperx[34].start |
2177.339 |
transcript.whisperx[34].end |
2178.5 |
transcript.whisperx[34].text |
好請問各位同仁上次會議一書有無錯誤 |
transcript.whisperx[35].start |
2205.131 |
transcript.whisperx[35].end |
2223.221 |
transcript.whisperx[35].text |
沒有好那就議事錄確定現在進行討論事項請宣讀討論事項審查一本院委員謝一放等16人拟據農民退休儲金條例第7條條案修正草案二本院委員郭國文等17人拟據農民退休儲金條例第7條條案修正草案宣讀完畢好 |
transcript.whisperx[36].start |
2225.97 |
transcript.whisperx[36].end |
2240.559 |
transcript.whisperx[36].text |
本日議程所列討論事項農民退休儲金條例第七條條文修正草案共計兩位委員提案現在請提案委員說明提案要旨首先先請謝一鳳委員說明提案要旨 |
transcript.whisperx[37].start |
2253.683 |
transcript.whisperx[37].end |
2275.382 |
transcript.whisperx[37].text |
主席還有所有農業部所有與會的官員今天我們在審農民退休處金條例第7條上一次審查的時候是在2022年4月27號由本席擔任召委的時候審查通過的那根據農業部的統計今年 |
transcript.whisperx[38].start |
2280.367 |
transcript.whisperx[38].end |
2290.634 |
transcript.whisperx[38].text |
2025年的3月底參加農退處金以及包含一定農退處金者合計11萬人根據農業部的報告經系統比對符合農民資格者約為49%但是根據主計處的2024年農業就業人口49.4萬 |
transcript.whisperx[39].start |
2310.727 |
transcript.whisperx[39].end |
2326.155 |
transcript.whisperx[39].text |
來算佔比其實實際上只佔了22.26%代表了農退儲軍的覆蓋率還是不足那我們再根據同樣一份主計處的 |
transcript.whisperx[40].start |
2328.683 |
transcript.whisperx[40].end |
2352.447 |
transcript.whisperx[40].text |
农民就业人口来看从2017年农民就业人口是55.7万到了2024年农业就业人口数就已经变成了49.4万减少了12%显示了农业缺工的问题是非常严重的 |
transcript.whisperx[41].start |
2353.462 |
transcript.whisperx[41].end |
2361.64 |
transcript.whisperx[41].text |
未來我們希望台灣的農民是科技農民可以利用科技來改善農業的質與量 |
transcript.whisperx[42].start |
2364.98 |
transcript.whisperx[42].end |
2382.913 |
transcript.whisperx[42].text |
如果要這樣子我們就必須要提供誘因能夠增加年輕人對於新農業的投入所以我希望農業部可以審慎看待本席的提案我們將農業部的相關的 |
transcript.whisperx[43].start |
2386.576 |
transcript.whisperx[43].end |
2402.105 |
transcript.whisperx[43].text |
比例能够从1%一倍提高到1.5倍能够提高又应增加年轻人能够投入我们新农业以上谢谢 |
transcript.whisperx[44].start |
2415.912 |
transcript.whisperx[44].end |
2435.704 |
transcript.whisperx[44].text |
現在請農業部陳俊記部長就委員提案進行報告謝謝趙偉還有各位委員各位女士各位先生大家早今天大院經濟委員會審查 |
transcript.whisperx[45].start |
2439.477 |
transcript.whisperx[45].end |
2466.636 |
transcript.whisperx[45].text |
委員謝一鳳等16人及委員郭國文等17人所擬聚的農民退休儲金條例第7條修正條文修正案的草案那本人請代表農業部來這邊做相關的一個專案報告那請敬請各位委員指教那大家都知道政府為了照顧農民的福利那農業部在近年來已經陸續完成了三保一經的四大農民的福利體系那這個四大 |
transcript.whisperx[46].start |
2467.907 |
transcript.whisperx[46].end |
2493.639 |
transcript.whisperx[46].text |
四大農民福利體系包括了農民健康保險讓每一個農民實際耕作者都可以獲得一個保障同時開辦了農民的職業災害保險讓所有的農民在從事農業活動的時候能夠提升農民的職業安全保障第三個部分是擴大農業保險最主要是希望農民的從事農業耕種不再是一個看天吃飯的工作 |
transcript.whisperx[47].start |
2494.199 |
transcript.whisperx[47].end |
2519.764 |
transcript.whisperx[47].text |
那最後一個就是今天所要討論的建立農民退休儲金那最主要是來鼓勵農民的儲蓄養老那老年的退休生活能夠更有保障那這個三保一金四大農民福利體系那最主要是為了建構完整的社會經濟安全網那也非常感謝我們所有的委員在這個四大農民福利體系的能夠給予支持 |
transcript.whisperx[48].start |
2520.484 |
transcript.whisperx[48].end |
2547.805 |
transcript.whisperx[48].text |
那今天所談的有關於農民退休儲金的條例那是在109年6月10日制定並在110年的1月1號開始實施那農民每個月的提繳的比例可以根據基本工資可以由1%到10%來計算那農民提高的比例不管是1%或是10%那政府都會對等的 |
transcript.whisperx[49].start |
2548.846 |
transcript.whisperx[49].end |
2560.777 |
transcript.whisperx[49].text |
半月就是提繳然後共同存在農民的退休儲金的一個個人專戶那以作為農民退休後的一個生活那以下就針對我們從110年以來 |
transcript.whisperx[50].start |
2565.161 |
transcript.whisperx[50].end |
2580.555 |
transcript.whisperx[50].text |
我們推動這個農民退休儲金制度的一個執行情形那由於農民退休儲金它是屬於自願參加的性質那參與的程度受到農民個人的儲蓄意願的影響那經過統計在114年3月底曾經參加農退儲金的受惠人數合計約為11萬人 |
transcript.whisperx[51].start |
2588.422 |
transcript.whisperx[51].end |
2611.057 |
transcript.whisperx[51].text |
那占未滿65歲且經過系統比對符合資格者的49%那另外我們截至114年的3月底那我們比對其他部分的勞工的一個工資那勞工是由雇主所提供的6%那他們自願提繳的比例只有16%那顯示說我們農民退休儲金 |
transcript.whisperx[52].start |
2618.602 |
transcript.whisperx[52].end |
2642.165 |
transcript.whisperx[52].text |
朋友那第二個部分就是有關於鼓勵農民參加農民退休儲金那我們現在的一個宣導就是力求宣導到位然後更精準的對這個受眾者做一個行銷那舉個例子像退伍青年農民那這些退伍青年農民也有很多退伍以後從事農業的工作那過去我們 |
transcript.whisperx[53].start |
2643.274 |
transcript.whisperx[53].end |
2659.564 |
transcript.whisperx[53].text |
看了這些退伍金人投入農業工作參加農民退休儲金的比例大概50%那後來經過我們在座很多委員的提醒那我們就精準的對這個目標族群去做一個行銷那結果在3月來統計的時候其實他的參加 |
transcript.whisperx[54].start |
2662.626 |
transcript.whisperx[54].end |
2683.565 |
transcript.whisperx[54].text |
退休儲卷的比例已經從50%提高到62%表示說農民的儲蓄意願以外他對於整個農民退休儲新的內涵如果能夠讓他們更了解的時候是有機會能夠增加他的參加這個農民退休儲卷的一個意願那以現在來講就是我們 |
transcript.whisperx[55].start |
2685.253 |
transcript.whisperx[55].end |
2704.267 |
transcript.whisperx[55].text |
已經有退休的這些這些農民我們也分析了一下他除了我們現在領的老農津貼以外那因為我們開辦了四年那第一年參加投保的這些參加農民退休處境的這些人他合計可以領到9804塊也將近一萬塊那以農業部的設計來講我們的整個退休制度是 |
transcript.whisperx[56].start |
2708.43 |
transcript.whisperx[56].end |
2727.041 |
transcript.whisperx[56].text |
老農年金加農民退休儲金用這樣的一個方式來做一個他們退休後生活的一個保障那這次委員所提的兩個修正的草案的版本那剛才有提到分別是協務委員還有我們國國委員所具名代表的 |
transcript.whisperx[57].start |
2730.395 |
transcript.whisperx[57].end |
2743.636 |
transcript.whisperx[57].text |
其他委員版本裡面最主要是修正第七條的第三項的條文就是有關於農民一第一項提繳的這些金額那我們是除了按月 |
transcript.whisperx[58].start |
2745.596 |
transcript.whisperx[58].end |
2761.221 |
transcript.whisperx[58].text |
提繳以外希望把這個倍數從原來的1比1提高到1.5比1換句話說就是每個月本身農民如果提高如果提繳10%那相對的這些金額2189塊我們就相對應的提繳到1.5倍用這樣的一個方式那我們也曾經 |
transcript.whisperx[59].start |
2770.343 |
transcript.whisperx[59].end |
2795.921 |
transcript.whisperx[59].text |
分析了這樣的一個結果首先我還是感謝所有委員對農民的福利的一個照顧但是我們在分析這樣的一個比例的情況之下那我們考慮我們已經試算過就是如果用這個1比1.5的這樣的一個方式來做提繳的時候那30年以後那相對的農民領取他的一個老農年金 |
transcript.whisperx[60].start |
2797.782 |
transcript.whisperx[60].end |
2812.948 |
transcript.whisperx[60].text |
加上一個農民退休儲金合計大概是38,479塊那同樣的就是在勞工領取的時候我們也比對因為整個的國內我們考慮它的恆平性那勞工的部分大概是維持在33,000塊左右 |
transcript.whisperx[61].start |
2815.689 |
transcript.whisperx[61].end |
2827.176 |
transcript.whisperx[61].text |
那當我們提高這樣的一個比例當然對農民是比較好的但是在整個政府的施政上面來講我們考慮的可能是一個橫平性但是我們怎麼樣的讓 |
transcript.whisperx[62].start |
2829.042 |
transcript.whisperx[62].end |
2847.031 |
transcript.whisperx[62].text |
委員的這樣的一個建議能夠落實到我們農業的從業人員然後也達到一個鼓勵的目的那我想我們後續也會持續的去做一些檢討跟研析那最主要是我們分析到現在目前農民沒有 |
transcript.whisperx[63].start |
2848.872 |
transcript.whisperx[63].end |
2870.349 |
transcript.whisperx[63].text |
更多的人去參加這個農民退休儲金有兩個原因一個就是他的一個意願那另外一個部分就是他的儲蓄能力那剛才也提到了勞工的部分大概只有16%表示這些年輕的朋友們年輕的族群他其實參加這樣的一個志願提繳的方式他的意願是不高的所以 |
transcript.whisperx[64].start |
2870.869 |
transcript.whisperx[64].end |
2885.517 |
transcript.whisperx[64].text |
後續我們會更加強的去做這樣的一個宣導那我們也會考慮看看有沒有什麼樣的方式能夠減輕農民的負擔然後增加他農民的生活退休生活的一個保障來著手那在這邊我想 |
transcript.whisperx[65].start |
2886.553 |
transcript.whisperx[65].end |
2914.743 |
transcript.whisperx[65].text |
以農業部來講我們現階段並沒有馬上要調整這個目前的比例的一個想法但是委員所提的意見我們都會去更仔細的去研析然後也尋求找到一個更好的一個方式來提升農民提繳的意願然後也能夠確保他農民退休以後所得的一個保障那以上做這樣的一個報告敬請委員指正 謝謝 |
transcript.whisperx[66].start |
2916.647 |
transcript.whisperx[66].end |
2917.167 |
transcript.whisperx[66].text |
请求议员发言 |
transcript.whisperx[67].start |
2949.645 |
transcript.whisperx[67].end |
2952.369 |
transcript.whisperx[67].text |
謝謝主席我是不是請一下陳部長陳部長委員長 |
transcript.whisperx[68].start |
2960.587 |
transcript.whisperx[68].end |
2987.304 |
transcript.whisperx[68].text |
部長早部長我想這個農民退休儲金的這個條例從我們在立法院審查到現在開始辦實施應該差不多5年的時間我們110年1月以後大概將近4年大概差不多5年的時間那在這5年裡頭其實每一個委員一直不斷的在跟農業部提出就是投保的人數比例 |
transcript.whisperx[69].start |
2988.055 |
transcript.whisperx[69].end |
3011.074 |
transcript.whisperx[69].text |
如何增加剛剛我想部長您的報告裡頭其實有非常清楚我大概把你們過去送過來的比例其實我們一直在講青農20到29歲的投保比例提交率是很低的不管是在青農或者是其他的年齡階層 |
transcript.whisperx[70].start |
3013.816 |
transcript.whisperx[70].end |
3035.696 |
transcript.whisperx[70].text |
依照你們現在送上來我剛剛看到的一份資料大概都是在三成多不到四成嘛您剛講誘因不足所以現在有委員提出來要把這個提撥的比例把它用1比本來我們是1比1嘛相對提撥那委員提出來是要1比1.5您覺得這樣的誘因 |
transcript.whisperx[71].start |
3039.656 |
transcript.whisperx[71].end |
3055.546 |
transcript.whisperx[71].text |
足夠嗎這個誘因是農民要的嗎還是說就你們現在應該有去統整或者是說有去做過做過一些填調有做過一些調查到底農民為什麼不願意去參加除菌制度 |
transcript.whisperx[72].start |
3056.465 |
transcript.whisperx[72].end |
3079.238 |
transcript.whisperx[72].text |
理由是什麼那你要做一些什麼東西是讓他會願意去參加的你們有沒有做過這樣的調查有的非常謝謝委員那我在這邊也跟委員說明就是現在委員的版本就是從原來的1比1提高到1比1.5那提高了以後相對的他的天花板是打開的就是他總額會增加那他 |
transcript.whisperx[73].start |
3080.698 |
transcript.whisperx[73].end |
3101.826 |
transcript.whisperx[73].text |
這個法案如果通過的話是針對已經投保的人他有退休金有更好的金額的保障可是對於還沒有參加投保的還沒有參加農民退休儲蓄金的人他其實剛才也說了他們本身第一個就是他們的儲蓄能力第二個就是他們的意願的部分 |
transcript.whisperx[74].start |
3102.566 |
transcript.whisperx[74].end |
3129.048 |
transcript.whisperx[74].text |
那因為退休儲券是65歲以後才能領特別是針對這些年輕人他可能是30年後以後才能領所以在這個年輕人的時代裡面他們的工作的收入不是那麼穩定的時候事實上就算你天花板拉得再高他們還是不願意就是還在觀望這個其實我們也透過很多專程會了解所以農民希望的是是不是能夠減少他的負擔 |
transcript.whisperx[75].start |
3129.969 |
transcript.whisperx[75].end |
3156.882 |
transcript.whisperx[75].text |
就是他提繳的時候的一個負擔如果說我們原來舉個例子100塊對100塊的時候那總而是200塊不變的情況之下是不是能夠讓他們少繳一點那牽涉到這樣的一個少繳的時候其實也是一個方法這是第一個所以你剛剛講的比如說我們過去是1比1嘛是100對100那如果我現在如果依照您剛剛的談話如果這個想法變成說未來 |
transcript.whisperx[76].start |
3158.454 |
transcript.whisperx[76].end |
3173.239 |
transcript.whisperx[76].text |
農民繳80你們繳120他總數還是200你覺得這個會增加農民的誘因嗎或者是說其實部長您看一下我這邊大概也有提了一個不同的意見的看法比如說 |
transcript.whisperx[77].start |
3174.988 |
transcript.whisperx[77].end |
3188.838 |
transcript.whisperx[77].text |
我用階梯式的去增加我的撥補他繳了5年的跟繳了10年的就我鼓勵他你繳越久我的撥補比例增加的比例其實是越大 |
transcript.whisperx[78].start |
3190.611 |
transcript.whisperx[78].end |
3219.093 |
transcript.whisperx[78].text |
這是兩個不太一樣的概念但是其實也是提供精神是一樣的提供它有一些不同的參考基準嘛您講的是說農民可以不要出那麼多錢我一樣的是200塊但是我現在農民只需要繳80塊你們改成120那我提的這個想法是說你只要連續5年或者是連續10年我的撥補比例是在增加的政府的撥補比例是在增加的那我覺得就是說 |
transcript.whisperx[79].start |
3220.114 |
transcript.whisperx[79].end |
3238.593 |
transcript.whisperx[79].text |
我們一直在講青農的投保比例過低其實我最近也發現到一個問題就是說青農在他20歲的這個階段他的人生還有很多不同的變化不同的思考所以很多的青農他甚至會想說他是不是要一輩子從農他現在就去繳這個農保 |
transcript.whisperx[80].start |
3240.724 |
transcript.whisperx[80].end |
3249.711 |
transcript.whisperx[80].text |
農保的退休儲金很多時候他可能五年三年以後他不想做了所以造成他不願意去加入這個退休儲金制度 |
transcript.whisperx[81].start |
3250.956 |
transcript.whisperx[81].end |
3277.39 |
transcript.whisperx[81].text |
會不會有這樣的狀態那面對這樣的狀態的時候你們又應該提出什麼樣的相應對策來鼓勵或者是來提高年輕人從農的意願跟提高他們參加農民退休儲金制度的意願我想謝謝委員剛才委員所提到的這些誘因其實跟我們的考慮的想法是一致的就是委員有提到是每隔一段時間去提高政府的撥補那我剛才也講了就是說 |
transcript.whisperx[82].start |
3279.691 |
transcript.whisperx[82].end |
3299.568 |
transcript.whisperx[82].text |
100塊對100塊是不變的但是農民的提繳的金額是可以因為你實際從農的時間拉長了以後你的提繳金額是變少但是保障不變保障不變那這個部分其實我們可以再去做一個詳細的設計跟規劃那第二個部分您剛才也說了我們從現在的投保來講 |
transcript.whisperx[83].start |
3300.829 |
transcript.whisperx[83].end |
3318.8 |
transcript.whisperx[83].text |
參加來講年輕族群就是大概30歲以下的到35歲這些相對的參加農民退休時間的比例是比較低的那也誠如您說的就是他們的不確定性從農的不確定性還在那邊就是做了解跟決定 |
transcript.whisperx[84].start |
3319.64 |
transcript.whisperx[84].end |
3341.6 |
transcript.whisperx[84].text |
對思考所以其實我們主力的大概35歲到45歲這段時間其實我們如果能夠減輕他的負擔的話是會有一些誘因的這個我們在歷次的青龍座談會他們也提到用比較好的一個減少他們的負擔的情況之下讓他們願意來參加這樣的一個保險其實部長我在想就是說 |
transcript.whisperx[85].start |
3343.421 |
transcript.whisperx[85].end |
3364.948 |
transcript.whisperx[85].text |
1比1.5這個所謂的相對用1.5倍去提高是不是真的能夠增加他們去投保的誘因這個的確是需要各方面的考量跟各方面的做過各式各樣的調查我們姑且這樣認為就是說我現在把你從1比1的相對提撥率提高到1比1.5 |
transcript.whisperx[86].start |
3367.049 |
transcript.whisperx[86].end |
3387.441 |
transcript.whisperx[86].text |
同等來講 勞保制度勞保的提撥是不是也要做一些調整否則這一個國家的制度就會大亂但是對於農民因為他的收入本來就比較少而且是不固定的如何增加他願意持續從農增加他在年老的時候有一筆所謂的退休金 |
transcript.whisperx[87].start |
3388.041 |
transcript.whisperx[87].end |
3415.63 |
transcript.whisperx[87].text |
那這個誘因要怎麼增加要怎麼鼓勵現在我們要鼓勵年輕人或者是中壯年回到農村裡頭去參與農事的耕作我覺得這個有很多的設計有很多的制度配套其實是需要更前瞻更全方位的去看這個我想也有賴這個農業部可能要多做一些田野調查我覺得你們應該是要下鄉去讓跟更多的農民座談不只是青農 中壯年 |
transcript.whisperx[88].start |
3417.29 |
transcript.whisperx[88].end |
3433.372 |
transcript.whisperx[88].text |
他有的可能是他在過去在工會在參加勞保後來他回到農村現在我們農村很多這種五十幾歲六十歲的中壯年直接投入農業的工作那在保險制度上面其實也沒有辦法符合他們的需求 |
transcript.whisperx[89].start |
3433.973 |
transcript.whisperx[89].end |
3446.688 |
transcript.whisperx[89].text |
我覺得這一塊也是未來農業部在做相關的保險制度改革的時候一個很重要的依據那部長因為我時間剩下一點點我想要簡短的再問一下老農津貼的這個排富門檻已經14年沒有調了 |
transcript.whisperx[90].start |
3449.131 |
transcript.whisperx[90].end |
3463.197 |
transcript.whisperx[90].text |
大家都一直在講那我在上一屆其實也有提過相關的修法我不知道農業部現在的態度是怎麼樣就是你們對於這件事情有沒有一個想法你認為該不該調整那如果該調整的話農業部的規劃是怎麼樣我跟委員報告 |
transcript.whisperx[91].start |
3470.071 |
transcript.whisperx[91].end |
3483.201 |
transcript.whisperx[91].text |
那個農農軍隊的排布條款以農業部的立場來講我們是支持這些排布條款做適度的修正因為包括我們的房屋的價值的所還有土地的價值房屋的價值等等隨著時間的一個調整 |
transcript.whisperx[92].start |
3485.863 |
transcript.whisperx[92].end |
3512.178 |
transcript.whisperx[92].text |
所以我們在我們的方案附案裡面其實我們有針對排富條款本身的所得的部分從50萬可以適度的提高然後至於說財產的部分從500萬也可以適度的提高所以這些東西都已經在你們的修正規劃裡面那什麼時候會送到行政院或者什麼時候會跟行政院來做討論我想我們已經有安排行政院的做專案報告 |
transcript.whisperx[93].start |
3513.419 |
transcript.whisperx[93].end |
3541.118 |
transcript.whisperx[93].text |
那做專案包括我剛才說的農業部的立場是支持這樣的一個調整那包括CPI4年的時候怎麼樣去做一個階段性的調整這個都有一個完整的配套方案那有待於就是行政院做最後的決定部長有沒有可能我們在下個會期的時候可以有一些你們行政院的版本農業部的版本可以送到院裡面來做討論甚至跟委員的案子來併案做討論那如果可以的話我覺得老農今天排付條款這個已經14年沒有調整 |
transcript.whisperx[94].start |
3543.719 |
transcript.whisperx[94].end |
3566.376 |
transcript.whisperx[94].text |
其實它是一個非常迫切需要改變的一個法案是 我們期待會這樣子啦那因為行政院現在一直希望說八大政府的一個條例來同步考量但我們希望說因為農業是比較特殊的是不是可以單獨先行啦這個我想我們會努力的去跟行政院做這樣的調查部長 那我就給你一點壓力啦 |
transcript.whisperx[95].start |
3567.236 |
transcript.whisperx[95].end |
3592.627 |
transcript.whisperx[95].text |
否則我覺得這個我們長期因為執政黨的委員齁都是溫良恭儉讓齁我還是要給您一點壓力啊我期待下個會期那個農業部的版本就能夠送到院裡面來跟我們的版本定案來討論我們希望能夠在今年年底以前把老農津貼排除的這件事情把它做一個修訂完成讓他做一些調整好嗎好這是我想也是我們的目標好謝謝 |
transcript.whisperx[96].start |
3595.194 |
transcript.whisperx[96].end |
3610.631 |
transcript.whisperx[96].text |
好 谢谢 现在请郑正前委员做讯答谢谢主席 我想请一下农业部陈部长陈部长 |
transcript.whisperx[97].start |
3617.276 |
transcript.whisperx[97].end |
3632.493 |
transcript.whisperx[97].text |
委員長部長好因為今天我們安排的是農會儲存條例的一個修正那我記得在那個2022年的時候那時候林海是次長的時候我那時候陳一仲陳部長的時候他那時候提到說他希望在2023年的比例達到30% |
transcript.whisperx[98].start |
3634.395 |
transcript.whisperx[98].end |
3650.812 |
transcript.whisperx[98].text |
那我這邊有個數字跟你在那個今天的報告當中有一點落差就是我看預算中心這邊提到在民國113年6月底的時候就是農民退休儲金的整個的比例占我們所有的農保投保的被保險人數只有27.09% |
transcript.whisperx[99].start |
3653.875 |
transcript.whisperx[99].end |
3672.435 |
transcript.whisperx[99].text |
那你這邊今天提到的另外提到一個數字是49%可不可以解釋一下這當中的差距是在哪裡我想第一個部分就是母數的部分農保本身的人數它現在降得蠻快的以現在來講 以上個月來講現在的農保人數大概是85.3萬 |
transcript.whisperx[100].start |
3676.98 |
transcript.whisperx[100].end |
3706.036 |
transcript.whisperx[100].text |
因為我們農隊儲金是小於65歲的那65歲現在的統計是31.7萬這是一個那你如果說以31.7萬當母數的時候它的確大概是30%左右但是相對的因為你參加農民退休儲金你主要就農保的資格的減和那如果說開綠燈的就是說你參加農保資格可能有一些資格還是有一些問題但是我們如果去把它 |
transcript.whisperx[101].start |
3707.942 |
transcript.whisperx[101].end |
3724.66 |
transcript.whisperx[101].text |
這個百分之百沒問題的才能加好理解了所以按照這樣的一個數字的一個標準的時候你覺得目前為止的時候已經達到百分之三十十一萬跟三十一萬大概三十出頭是不是不是現在比例是多少現在比例如果說 |
transcript.whisperx[102].start |
3726.401 |
transcript.whisperx[102].end |
3736.765 |
transcript.whisperx[102].text |
曾經來參加農民退休除菁的有11萬人然後除以母數的話是49%那如果說退休的不算曾經加保然後退休的不算的話是達到40% |
transcript.whisperx[103].start |
3739.606 |
transcript.whisperx[103].end |
3759.986 |
transcript.whisperx[103].text |
所以目前有40% 因為我在想說這之前其實很多人都覺得這樣的比例其實不夠高那我在想說今天的一個修法的部分本來就是希望說能夠提高一個更大的一個誘因那我在想說你這邊有這邊提出一個書面的一個資料就是這邊有剛也口頭做報告那本席稍微了解那我接下來我要問一個問題 |
transcript.whisperx[104].start |
3761.147 |
transcript.whisperx[104].end |
3775.626 |
transcript.whisperx[104].text |
其實就是針對就是上禮拜你接受媒體訪問的時候你講到說台美的農產品的關稅談判希望能夠維持5%對不對那這個部分的時候我在想說那政府是不是有考慮對美國農產品採零關稅的政策這個部分 |
transcript.whisperx[105].start |
3778.109 |
transcript.whisperx[105].end |
3800.389 |
transcript.whisperx[105].text |
您可以再做一次政治性的一個宣示一下我跟委員報告就是在美國提出對等關稅談判之前美國的關稅我們出到美國的關稅平均是5%所以我們一直希望說在對等關稅談判過程中能夠維持以農產品來講能夠維持現在的關稅的比例是最好的那你要怎麼維持關稅 |
transcript.whisperx[106].start |
3801.69 |
transcript.whisperx[106].end |
3822.769 |
transcript.whisperx[106].text |
人家提出這樣的一個條件出來的時候因為當時我們在講萊豬進口的時候呢當時也是提到說我們要有更好的一個談判條件結果其實後來也沒有啊不過我想喔有一部分的農產品我們是依賴美國的而且是在台灣是當作原物料的部分我特別提到的黃小玉的部分那黃豆玉米的部分 |
transcript.whisperx[107].start |
3823.49 |
transcript.whisperx[107].end |
3842.205 |
transcript.whisperx[107].text |
如果關稅越低的時候對我們的生產人們降的越低所以這個部分我想我們會更積極的去跟美國因為最主要美國的玉米黃豆跟小麥基本上就是我們本來主要的大東的所以提前部長覺得好像說因為黃小玉的關係所以我們降低到零關稅的時候對台灣的農業還是有幫助的 |
transcript.whisperx[108].start |
3843.846 |
transcript.whisperx[108].end |
3863.44 |
transcript.whisperx[108].text |
所以你打算讓台灣的農業對美進口的關稅降到零嗎沒有我沒有這樣講現在目前黃豆跟玉米本身的關稅就是零了本來就是零那因為零關稅的話我說整體因為我在今天在講整體是百分之五現在是平均是百分之五 |
transcript.whisperx[109].start |
3864.701 |
transcript.whisperx[109].end |
3884.672 |
transcript.whisperx[109].text |
那我剛才說的就是當這個五次總平均那是有一些關稅低的時候是對我們台灣有利的因為當是原物料的部分我們希望它低一點是可以的所以我在問整體嘛所以我想問一下就是因為有學者認為台灣的整個農業的三大核心是稻米豬肉跟雞肉 |
transcript.whisperx[110].start |
3885.532 |
transcript.whisperx[110].end |
3903.667 |
transcript.whisperx[110].text |
那這部分退讓的時候可能影響會非常的巨大尤其是稻米的部分對於稻米部分的時候我們目前跟那個國際這邊的一個標準是怎麼樣子我跟委員報告就是您剛才提到的稻米豬肉跟雞肉那其實我一直強調就是農業 |
transcript.whisperx[111].start |
3904.548 |
transcript.whisperx[111].end |
3921.806 |
transcript.whisperx[111].text |
他負有一個非常重要的糧食安全的一個責任所以在談判的過程中我們一定會秉持著我們的糧食安全然後我們要讓我們的農民的收益能夠確保讓我們的產業能夠永續發展在這幾個前提之下我們才會去討論一些比較細的原則 |
transcript.whisperx[112].start |
3922.947 |
transcript.whisperx[112].end |
3945.432 |
transcript.whisperx[112].text |
理解喔 那我先問一下米的部分我們目前就是我們的就是稻米的關稅配額一年有多少算144,720噸那其中有94,000噸是國家配額有50,000噸是民間的配額那國家的配額就是由政府去買來以後放到公糧倉庫裡面這樣的話對我們國內的稻米產業不會有影響對 那144,720噸裡面有多少是從美國進口 |
transcript.whisperx[113].start |
3952.304 |
transcript.whisperx[113].end |
3971.834 |
transcript.whisperx[113].text |
我剛才說的14萬4千720裡面9萬4是國際配合 9萬4裡面的6萬4千噸左右6萬4千噸是美國的配合大概佔了45%左右對不對那因為在這部分的時候因為我們如果說像現在我想再問一個狀態台灣的米一公斤大概要50塊對不對美國的米大概30塊而已 |
transcript.whisperx[114].start |
3976.803 |
transcript.whisperx[114].end |
3989.938 |
transcript.whisperx[114].text |
這個資訊其實都在變動那我們經過我們如果以批發價來講批發價來講美國米跟台灣米的差價大概是5塊左右並沒有到10塊因為現在美國的米也越來越貴 |
transcript.whisperx[115].start |
3991.62 |
transcript.whisperx[115].end |
4008.029 |
transcript.whisperx[115].text |
所以您剛才講的那個數據可能是三四年前在那個COVID之前本身如果加州大豐收的時候它的進口米的價格會低所以有差到10塊但是以去年來講它差到4塊板左右OK那我最後來問一個問題因為美國現在還在做一個就是美國優先海鮮戰略這個部分 |
transcript.whisperx[116].start |
4012.591 |
transcript.whisperx[116].end |
4035.571 |
transcript.whisperx[116].text |
那麼他有特別針對IU跟強迫勞動的問題在做一個關心尤其在漁業的部分的時候那麼在這個地方的時候我上個禮拜先我有問到IU的問題那我今天要特別針對那個強迫勞動的問題去做一個關心的部分那因為監察院在前幾不久之前的時候也提出一個狀態因為有南方澳的漁船因為有印尼勞工 |
transcript.whisperx[117].start |
4036.091 |
transcript.whisperx[117].end |
4050.313 |
transcript.whisperx[117].text |
就在那個海上死掉那就針對這個部分的時候我們農業部這邊有沒有打算要怎麼去做那我想要去衍生的一個問題是針對於就是漁工他們的通訊權的問題 |
transcript.whisperx[118].start |
4052.779 |
transcript.whisperx[118].end |
4068.206 |
transcript.whisperx[118].text |
有沒有辦法給他一個比較好的一個保障我想我們一直持續的透過漁業與人權行動方案裡面去加強漁工的就是漁工的勞動條件在船上的勞動條件上岸以後他的一個生活的一個條件 |
transcript.whisperx[119].start |
4069.807 |
transcript.whisperx[119].end |
4089.134 |
transcript.whisperx[119].text |
那在海上的時候Wi-Fi是一個它可以對外聯絡的一個通路所以我們針對Wi-Fi也給予適當的補助包括它的機制跟它的通訊費成效不好啊現在台灣紀元洋漁船裡面大概有那個Wi-Fi大概只有10%左右是3%我跟委員報告就是 |
transcript.whisperx[120].start |
4090.414 |
transcript.whisperx[120].end |
4109.552 |
transcript.whisperx[120].text |
漁船在海上作業他跟陸地聯絡的顧問Wi-Fi只是其中的一個方式而已那他還有那個衛星電話然後還有一些其他的一些無線電台的部分可以去聯絡的部分那因為他現在並沒有強制所以我們還是 |
transcript.whisperx[121].start |
4110.493 |
transcript.whisperx[121].end |
4132.464 |
transcript.whisperx[121].text |
針對這個部分就是因為監察院也提出了一個這樣的檢討報告所以說希望說我們針對於整個漁業人權的部分尤其是針對漁船船員海上傷病申請救援通訊諮詢機制這個部分的時候他要求我們農業部這邊必須要去做一個調整那我這邊我也提到一個 |
transcript.whisperx[122].start |
4133.064 |
transcript.whisperx[122].end |
4152.783 |
transcript.whisperx[122].text |
像比方說現在台灣的遠洋漁船其實有Wi-Fi的部分比例很低那船上都沒有Wi-Fi的時候漁工就更沒有辦法有條件去使用這樣的一個通訊那在韓國他們其實有具體的一個標準出來你知道我們目前跟韓國的標準差距有多大嗎 |
transcript.whisperx[123].start |
4154.192 |
transcript.whisperx[123].end |
4178.124 |
transcript.whisperx[123].text |
不過我想有一個非常重要的就是遠洋漁船在公海的時候離開我們的12海里以外的時候他用的是一個衛星電話那現在目前因為台灣只有一家合格那其他的國際舉個例子STARLINK的部分我們現在因為NCC還沒有在審這個部分沒有經過我們通訊認可的時候是不能用的但是我所知道 |
transcript.whisperx[124].start |
4178.644 |
transcript.whisperx[124].end |
4196.043 |
transcript.whisperx[124].text |
遠洋漁船在國際上在行船的時候他還是有用其他國家的這些通訊衛星這個都沒有問題我只是要講我就簡單具體講一個數字給你我們月屬2024年建議的船員使用Wi-Fi一個月的量是多少你知道嗎 |
transcript.whisperx[125].start |
4198.421 |
transcript.whisperx[125].end |
4216.19 |
transcript.whisperx[125].text |
一個月只有40Mbps你知道 很少然後或者是一個月三個小時韓國給的 這沒有錯嘛 約束這邊韓國的標準 其實目前是每個月3到5Gbps然後每天三小時啊所以對於整個這個 |
transcript.whisperx[126].start |
4218.571 |
transcript.whisperx[126].end |
4233.306 |
transcript.whisperx[126].text |
遠洋漁工的一個勞動權的部分我們希望這邊要特別的一個加強好不好因為這目前來說的時候都不是一個強制性的部分可是因為這部分跟我們在跟美國在做一個談判的時候肯定也是一個他們關注的點 |
transcript.whisperx[127].start |
4233.806 |
transcript.whisperx[127].end |
4261.272 |
transcript.whisperx[127].text |
因為除了IUU之外的時候他們也針對強迫勞動強迫勞動是在遠洋漁船上面非常非常普遍的一個樣態之一所以我們這邊的時候那要再加上我們南方澳有印尼漁工在船上死亡的問題那牽涉到整個通訊機制的一個不良所以我們希望針對這個部分的時候農業部能夠加以改善好不好 |
transcript.whisperx[128].start |
4262.092 |
transcript.whisperx[128].end |
4271.505 |
transcript.whisperx[128].text |
針對於這樣部分我覺得這是一個基本人權的部分我在想說大家在漁工其實在遠洋漁船上工作已經是很辛苦的事情如果說強迫勞動的問題又沒有通訊權的問題的時候我覺得那情況會更糟 |
transcript.whisperx[129].start |
4277.233 |
transcript.whisperx[129].end |
4290.979 |
transcript.whisperx[129].text |
好謝謝委員提醒我想我們在這方面會持續努力增加他的Wi-Fi的使用的時間那這個牽涉到他的費用的問題我想必要的協助我們也會再跟遠洋漁業這些船主一起來討論OK那我最後再問一個問題因為在那個 |
transcript.whisperx[130].start |
4294.28 |
transcript.whisperx[130].end |
4320.871 |
transcript.whisperx[130].text |
之前萊豬要進來的時候 當時的部長陳其仲他就講說國產豬肉自給率到93% 你那時候是次長你知道到目前為止台灣的一個國產豬肉自給率大概是百分之多少我想以去年來講大概是88%那以今年來講 因為不同的月份它的豬肉進口量還有88%是不是那我這邊我提問個數字 因為到 |
transcript.whisperx[131].start |
4325.259 |
transcript.whisperx[131].end |
4335.467 |
transcript.whisperx[131].text |
114年5月23號之前的時候這個部分我們看到的一個數字是台灣豬的一個整個量跟進口豬的量是76比24 |
transcript.whisperx[132].start |
4339.126 |
transcript.whisperx[132].end |
4360.974 |
transcript.whisperx[132].text |
那這個部分你也學長說因為這裡面有很多是到加工領域裡面去不過這個部分要跟委員說明的第一個就是說因為到4月的部分我們的進口豬肉通常是跟我們國內的豬肉就是在彌補不足所以它不是每個月進口的數量都是一模一樣的所以 |
transcript.whisperx[133].start |
4361.334 |
transcript.whisperx[133].end |
4381.32 |
transcript.whisperx[133].text |
它在上半年會比較多一點所以它的占比就會高一點但是在下半年比較低的時候所以拉起來我們還是要用整年的平均來看所以整年來說你覺得目前的台灣豬肉自給率還有88%對我們去年實際上是88%然後前年也是大概88%到89%左右所以這幾年來平均在88%到90%之間在浮動 |
transcript.whisperx[134].start |
4384.451 |
transcript.whisperx[134].end |
4405.156 |
transcript.whisperx[134].text |
OK那我在這邊最後再提一個因為之前有澳洲的那個豬腳進來的時候有三次都含那個萊克多巴胺然後就是也超標所以其實有百分之九成的民眾我所知道沒有所謂的超標它是含萊克多巴胺但是含萊克多巴胺但是它並沒有超過我們國家的標準 |
transcript.whisperx[135].start |
4405.856 |
transcript.whisperx[135].end |
4425.255 |
transcript.whisperx[135].text |
因為超過就進不來因為可是有目前還是有90%的民眾在意瘦肉精的這個問題而且不滿意現在標示的比重其實非常的高那麼認為瘦肉精要標示的部分有67%這比重還是非常非常的高表示民眾對於 |
transcript.whisperx[136].start |
4427 |
transcript.whisperx[136].end |
4447.635 |
transcript.whisperx[136].text |
收入金的問題其實還是非常的在意那我們希望針對整個標示的問題的時候那我們希望農業部身為主管豬肉的相關的單位的時候也能夠跟衛福部這邊做進一步的溝通好不好讓民眾能夠真的安心不要因為這件事情然後消費者 |
transcript.whisperx[137].start |
4449.296 |
transcript.whisperx[137].end |
4473.142 |
transcript.whisperx[137].text |
就是對於台灣豬肉產生高度的不信任好不好我跟委員報告以農業部立場就是我們要確保台灣的豬肉產業持續永續發展所以後續我們會更積極的去推動台灣豬的部分的市場的區隔那台灣豬本身是因為以溫體豬肉為主最主要是見到傳統市場跟所謂的賣場現在雲林台中其實他們都有自己的一個做法 |
transcript.whisperx[138].start |
4473.422 |
transcript.whisperx[138].end |
4492.541 |
transcript.whisperx[138].text |
那你說中央要怎麼做所以包括我們台灣豬肉的品牌的行銷這個我想我們都會跟各地的這些豬農協會的部分來做討論重要就是我們要讓我們的台灣豬肉在我們的消費者一定是認可的唯一認可的那這樣的話 |
transcript.whisperx[139].start |
4493.101 |
transcript.whisperx[139].end |
4512.383 |
transcript.whisperx[139].text |
其實其他的豬肉在進口它可能就是一個替代不足的部分不會影響到我們台灣豬肉的生產這是我們農業部最大的理解因為地方其實都做的感覺比中央還要更多那中央這邊如果後續有什麼具體的做法的時候你再給本辦公室一個書面的資料好 謝謝好 謝謝現在請林黛化委員做詢答 |
transcript.whisperx[140].start |
4528.578 |
transcript.whisperx[140].end |
4551.577 |
transcript.whisperx[140].text |
好有請部長陳部長好這個我們怎麼來活化農退農民退休的這個保障機制這個政策工具是改變民眾行為的方法那我們來看現在農民退休儲金的這個加入 |
transcript.whisperx[141].start |
4552.077 |
transcript.whisperx[141].end |
4569.445 |
transcript.whisperx[141].text |
退休途徑的狀況這些都是官方數據主計處在今年3月的時候針對農林漁牧的就業實質就業是48.8萬但是在今年3月的時候真的我國有加入農保的是比48.8萬還多85.6萬但是沒有 |
transcript.whisperx[142].start |
4575.268 |
transcript.whisperx[142].end |
4585.133 |
transcript.whisperx[142].text |
不是在這個就業人口 並不是代表他是假農民喔其實他是符合資格的好 但是呢 這當中的今年3月的時候呢我們這85.6萬當中真的有加入農民退休途徑的只有9.1萬而已差距很大而且呢 如果我再擴大包含曾經參加過農退的而且含65歲以上已經領取這個的農民 |
transcript.whisperx[143].start |
4600.802 |
transcript.whisperx[143].end |
4609.906 |
transcript.whisperx[143].text |
那大概就是就是已經領了農退了已經現在在領農退如果這些人再加進去那大概有11萬而農保當中這85.6萬當中啊自耕農的加保是有到76.1但是呢卻有9.5萬的電農 |
transcript.whisperx[144].start |
4618.849 |
transcript.whisperx[144].end |
4647.34 |
transcript.whisperx[144].text |
所以本行認為這真的85.6萬當中真正又如果真的有這個優先順序的那個急迫性當然是針對沒有土地的電農因為這塊土地是我的啊我就算我不種了我退休了我土地還可以做一些出租啊或者是再做一些什麼什麼的運用啊但是對電農他耕作了一輩子他沒有土地他就就這樣退可是退了之後他的保障基礎是我們應該政府用更大的力量的好 |
transcript.whisperx[145].start |
4648.3 |
transcript.whisperx[145].end |
4669.466 |
transcript.whisperx[145].text |
好那這個呢我就截取這個郭國文郭委員的他的提案的數據這是他去年113年9月的時候這個農民退休除菁啊當中農保的部分農保可以一直領嗎可以一直加我就可以加到八十幾歲九十幾歲我都可以加但是農保當中未滿65歲的被保人才佔所有農保的27.63% |
transcript.whisperx[146].start |
4675.228 |
transcript.whisperx[146].end |
4681.273 |
transcript.whisperx[146].text |
好 那這當中呢 我這85.6當中呢 如果再細算如果是30歲以下 20到29歲的青龍他真的有提 去提這個融退的部分的 才24而已啦所以是非常低 其實你的簡報當中有提到 |
transcript.whisperx[147].start |
4693.624 |
transcript.whisperx[147].end |
4716.836 |
transcript.whisperx[147].text |
好 那農民退休儲金是一個保障它是一個這個福利保障喔那現在是1.1我們兩位委員的提案是希望提到1.5那當然政府最早要增加到再增加15.5就是總而你們要如果這兩個法案過的話你們就是要準備農民的這個退休這個儲金要達新台幣46點46.5的1好 |
transcript.whisperx[148].start |
4721.798 |
transcript.whisperx[148].end |
4738.952 |
transcript.whisperx[148].text |
但是呢增加也沒關係但是本席認為會不會增加農民的再增加農民農退儲金的誘因本席持保留態度那我們就爬數為什麼因為他不確定性高而導致參加意願低啊基層的農民認為精算後我農退的儲金跟勞保的勞年給付相差起來 |
transcript.whisperx[149].start |
4744.336 |
transcript.whisperx[149].end |
4752.783 |
transcript.whisperx[149].text |
差不多 這次老跑來比較高然後加上青榮從榮 我30歲從榮 我40歲從榮我要一直繳榮退的話 我要繳到65歲我才可以退 我中間從事了6年之後我想要退 我繳了6年的榮退了結果我繳了6年之後 我不想再種了 |
transcript.whisperx[150].start |
4767.395 |
transcript.whisperx[150].end |
4787.045 |
transcript.whisperx[150].text |
那我沒有辦法有一個彈性機制讓我可以把我腳的領回來那我怎麼知道我的農業我一直都可以一直從30歲一直做到65歲因為這個行業的不確定性太高所以對農退的儲金的制度觀望那當然了 |
transcript.whisperx[151].start |
4788.546 |
transcript.whisperx[151].end |
4801.74 |
transcript.whisperx[151].text |
這個我就爬數一下 農民不願參加農退雛精的原因大概有五項第一個我根本不清楚農退雛精的內容第二個我農業收入不穩定我不敢提撥我又要提 一方面我要提撥農保我一方面又要提撥農退哇 這兩個 |
transcript.whisperx[152].start |
4806.845 |
transcript.whisperx[152].end |
4826.623 |
transcript.whisperx[152].text |
這個在我收入不穩定的情況之下 我不敢提拔 我寧願先救我的榮保就好那第三個 青榮認為要到65歲才能領這變數太多 不像勞保的範疇 我只要是勞工身份我現在在A公司 我一來到B公司 行業都不同 我都可以 我還是保有我的榮保但是我做榮保 不好意思 我一定要從容 |
transcript.whisperx[153].start |
4828.144 |
transcript.whisperx[153].end |
4848.808 |
transcript.whisperx[153].text |
那第四個部分農民的投保老保多年了他不願轉換有些有些青農或者是說中途轉進的農民他就直接投入老保多年了我也不願意轉換成農保再加入農退了因為其實再怎麼加起來都比不上我老保我加入老保的退休退休的60% |
transcript.whisperx[154].start |
4852.71 |
transcript.whisperx[154].end |
4855.251 |
transcript.whisperx[154].text |
而且你也講對了 就是要加強宣導農民誤認農退除菁跟老農今天是互製的 其實不對的我其實只要有勞保 我也有加入65歲之後我可以同時加 |
transcript.whisperx[155].start |
4868.809 |
transcript.whisperx[155].end |
4885.222 |
transcript.whisperx[155].text |
接受勞保的保障我可以領老農津貼那如果我這65歲以前有加入勞退儲金我其實還是可以領的這三個是可以一起一個可以保障兩個繼續領的就是農退儲金跟老農津貼是可以繼續領的那但是農民會誤沒有誤人所以其實 |
transcript.whisperx[156].start |
4885.962 |
transcript.whisperx[156].end |
4897.979 |
transcript.whisperx[156].text |
第一個 第二個 第五個其實都是叫不清楚嘛不清楚他的農退的租金內容我收入也不穩定嘛然後我也不清楚說農退租金跟老農今天是可以同時領的好 再來 |
transcript.whisperx[157].start |
4901.038 |
transcript.whisperx[157].end |
4916.291 |
transcript.whisperx[157].text |
那重點啊還是要對於這個行業有黏著度嘛我對我這個行業有信心 我也探緊呀所以其實提高誘因在本席都支持這兩位委員的提案但是我覺得農業部你的本業 |
transcript.whisperx[158].start |
4917.452 |
transcript.whisperx[158].end |
4934.412 |
transcript.whisperx[158].text |
提高這個農業的競爭力其實農業的競爭力不是硬實力是軟實力這是本席一直講什麼叫硬實力就是你的硬體建設其實農業不是這個硬體建設你們的實力是在軟實力的我的品種權啊 |
transcript.whisperx[159].start |
4936.735 |
transcript.whisperx[159].end |
4939.879 |
transcript.whisperx[159].text |
我的行銷啊這個才是能夠讓他們賺錢啊所以其實要提高的是如果本席認同提高國家提撥比例啦但是呢在沒有自由農地的電農這9.5來講你要怎麼特別的 |
transcript.whisperx[160].start |
4951.171 |
transcript.whisperx[160].end |
4968.197 |
transcript.whisperx[160].text |
的保障所以我針對這些原因本席也認為說你應該強化農退租金跟老農經典的政策說明第二個推動農業的智慧化精準化並拓展新市場強化農民的收入第三個你要推動青農職業輔導不僅是吸引青農下鄉更應該提供對接的產銷服務及各級的專家諮詢第四個面對極端氣候的挑戰及市場的開放這本席上次已經都質詢了 |
transcript.whisperx[161].start |
4978.681 |
transcript.whisperx[161].end |
5007.201 |
transcript.whisperx[161].text |
希望加速农业科技的软实力在基因地区资料科学以及AI的应用的升级上缩小我国的经济作物与国际主要的生产国的成本差距好我们就举几个例子日本的麝香葡萄他在2022年的时候发现到中国窃取他的品种这个取名叫做在中国叫做翡翠葡萄在日本叫麝香葡萄结果呢日本认为这是品种权你侵占了我就告 |
transcript.whisperx[162].start |
5008.482 |
transcript.whisperx[162].end |
5032.513 |
transcript.whisperx[162].text |
那這個他就用告那相對於紐西蘭的奇異果中國也是竊取他讓他損失他除了告之外怎麼樣他改變他的商業模式修正他開發新品種變成紅肉的品種而且再透過他的品牌行銷就共固他的市場所以兩個國家兩個策略一個就是告我不研發新品種一個我告我研發新品種賺的更多 |
transcript.whisperx[163].start |
5034.634 |
transcript.whisperx[163].end |
5050.162 |
transcript.whisperx[163].text |
那甚至因為他有品牌我在跟中國買我就覺得紐西蘭很厲害沒關係啊 那個舊的你拿去 中國你拿去之後我給你買來變成我紐西蘭的品牌我賺的更多他反而做代工然後再加上我自己現在在開發的品牌所以這叫做這就是在行銷策略這才是軟實力啊好 這是面對市場開放 |
transcript.whisperx[164].start |
5057.185 |
transcript.whisperx[164].end |
5062.848 |
transcript.whisperx[164].text |
那包括今天豬價我們現在過這個端午節豬價飆高我們已經生產的這個通貨膨脹災災豬價飆高本席了解的豬價飆高的原因是什麼國內的豬仔死亡率過高啊這就是本席主張說豬隻生產的效益低落沒有導入先進的基因定序的原因過去的方法跟技術不是不好而是面對新的挑戰我們需要新的技術跟經驗長期完成農業數據的收集 |
transcript.whisperx[165].start |
5086.963 |
transcript.whisperx[165].end |
5115.12 |
transcript.whisperx[165].text |
才有科學化智慧化的治理的農業好那我回歸本本席的這個建議啊我認為這兩個人兩位立委的提案非常好但是我覺得要你們要有配套措施才更增加誘因第一個現有的補助方案如何勾結連結你的農民退休儲金譬如說你只要農民啊年輕青龍哦你只要願意來來你願意來加入我農民儲金我就每一年 |
transcript.whisperx[166].start |
5116.281 |
transcript.whisperx[166].end |
5140.494 |
transcript.whisperx[166].text |
給你農村年輕化的補助我就每一年給你土地友善的補助農地土地友善補助是包括你們返鄉的補助喔有機肥料每年都會補助你只要三家的一天我就補助你一天譬如這樣你要勾肌連結你才有誘因嘛好但是這個還不夠第二個你農民退休除菁沒有是非牌付條款所以呢請評估本席最在意的就是沒有土地的 |
transcript.whisperx[167].start |
5142.475 |
transcript.whisperx[167].end |
5158.884 |
transcript.whisperx[167].text |
電農 還有青農 你應該相對應的給他保障跟獎勵就是彈性結算 好 譬如說我30歲 我做了6年之後 我真的做不下去了好啊 那你是1比1嘛 或者未來的1比1.5啊那我願意結算給你 你自己繳的那個1或1.5我全部給你 因為儲君有利息 我也還給你 但 |
transcript.whisperx[168].start |
5165.928 |
transcript.whisperx[168].end |
5183.358 |
transcript.whisperx[168].text |
我政府的這個一可能我就沒有辦法全部給你了我彈性也許我就給你六成就好我就給你七成就好類似的概念那這樣我算起來我有彈性可以退場機制啊那我政府的損失也沒那麼高因為它本身就是一個福利政策好 這樣我們沒有走商業保險所以我就覺得你這個彈性的結算跟保障 |
transcript.whisperx[169].start |
5189.961 |
transcript.whisperx[169].end |
5212.296 |
transcript.whisperx[169].text |
我覺得你是要考量的那針對扣結你現在對於青農啊跟土地友善的你只要願意參加除青我就每一年補助給你我覺得這樣才會讓兩位委員的美意大大的提高你的退休除青的這個參與力當然最後我要提出這個上次我質詢我希望你們在6月18號這是你們引落我的喔引落本席的喔針對國際農業先進國家的基因地區在農 |
transcript.whisperx[170].start |
5220.682 |
transcript.whisperx[170].end |
5234.077 |
transcript.whisperx[170].text |
魚 醋葉在台灣你給我提出一個品種參考國際先進的國家的他們的基因定序應用成功的案例提出來你們具體執行的方案好 針對這三點部長你回應一下謝謝委員非常 |
transcript.whisperx[171].start |
5234.818 |
transcript.whisperx[171].end |
5258.533 |
transcript.whisperx[171].text |
深入的這些分析跟建議我先針對最後一點就是618號我們一定會有一個很完整的因為我已經親自去督導他們特別在畜牧業裡面的養豬的部分如何利用基因體育種的方式或者是篩選的方式讓我們的豬隻更健康這第一點那第二點的部分就是您剛才講的彈性結算的部分那依現在來講我們是65歲才可以嘛 |
transcript.whisperx[172].start |
5258.993 |
transcript.whisperx[172].end |
5281.128 |
transcript.whisperx[172].text |
那勞工的部分因為他可以不同的轉可以不同的帶著走但是農業只有一個農業而已所以我覺得這個東西我也會請我們的同仁就是彈性結算但是只還他的啦政府的部分因為他還沒到65歲嘛這個我們再來看看說我覺得不要跟農民叫因為你現在不開辦所以我已經講明了政府的部分你可以佐與 |
transcript.whisperx[173].start |
5282.449 |
transcript.whisperx[173].end |
5286.93 |
transcript.whisperx[173].text |
所以你不要全部都退喔 否則那就沒有用了就是農民你不可以有損失啦他嫁的那個1比1的我農民繳的1你一定要全部還給我本金跟利息你也不要跟農民計較 因為他是儲金講明了就是有利息的所以你要還給農民儲金好 那政府繳的那個1 |
transcript.whisperx[174].start |
5302.375 |
transcript.whisperx[174].end |
5308.563 |
transcript.whisperx[174].text |
那你也不要全部收回去 譬如說你們看有一個比例 按照你的加入的年份也好譬如說你加入10年 我就只給你30%那你加入20年 我政府就只退你退得更少這樣子 |
transcript.whisperx[175].start |
5322.299 |
transcript.whisperx[175].end |
5325.261 |
transcript.whisperx[175].text |
這都是彈性 但是你不要一次全部你懂我意思嗎然後你的政策一定要勾基你的融退比如說我每年都有有機肥料補助欸我只要加入這個融退途徑我就可以每年都有有機肥料的補助 |
transcript.whisperx[176].start |
5340.609 |
transcript.whisperx[176].end |
5358.404 |
transcript.whisperx[176].text |
那這也是一個很好啊 也是鼓勵在有機肥料的使用啊 輕容返鄉我們特別就希望特別輕容返鄉就有相關的補助啊所以你就應該勾結起來 這樣他的意願就會高然後再加上彈性的結算 跟相關的保障而且譬如說 你是電容的跟輕容的 |
transcript.whisperx[177].start |
5359.425 |
transcript.whisperx[177].end |
5383.645 |
transcript.whisperx[177].text |
那我就特別的我特別在這個你的什麼機制上給你在這個農民退休儲金的部分你就可以怎麼樣的特別給他保障這也是可以想的啊譬如說你的1比1當中如果你是電農那我就給你政府退的我就退少一點可以退多一點給你也是一種獎勵啊這個我們會來你們方法很多啦我知道所以都是一個誘因好 謝謝 |
transcript.whisperx[178].start |
5386.343 |
transcript.whisperx[178].end |
5387.624 |
transcript.whisperx[178].text |
好謝謝現在請張祺凱委員做詢答現在陳部長陳部長 |
transcript.whisperx[179].start |
5422.09 |
transcript.whisperx[179].end |
5431.413 |
transcript.whisperx[179].text |
看是不是有品牌沒品牌那平均如果大概一般的傳統市場買可能大概50塊60塊如果說你在店家買有沒有買來吃的可能都上百塊然後大一點小一點所以他的價格那傳統市場買的話可能更便宜大概30幾塊 |
transcript.whisperx[180].start |
5451.687 |
transcript.whisperx[180].end |
5474.575 |
transcript.whisperx[180].text |
都要保證對肉粽一定要了解,因為裡面有豬肉、香菇、鹹鴨蛋,這個都跟你有關對,要看不同地區包的粽子是不一樣的介紹沒有太多,人家說你吃米不知道米幾,吃肉粽不知道肉粽幾我本來是特別去查,其實現在一個肉粽,你如果在北部,基本款稍微沒有很多料的,大概都要65塊了 |
transcript.whisperx[181].start |
5476.788 |
transcript.whisperx[181].end |
5501.337 |
transcript.whisperx[181].text |
那稍微好一點點大概七十五,當然飯店你說的都上百塊的當然正咖南部有稍微便宜一點,不過大概五十五塊都跑不掉我現在講這個,就表示端午節這個八掌比去年是真的漲價了至少漲了大概五到十塊錢那裡面有個特別我今天要問你的,跟你有很大關係你掛保證說第一把端午節不會企業嘛對不對 |
transcript.whisperx[182].start |
5502.998 |
transcript.whisperx[182].end |
5527.172 |
transcript.whisperx[182].text |
我看你很有自信啊,你去接受訪問宣布這個超大好消息,說台灣主要外銷到日本嘛這當然要恭喜,這是農業部也是台灣一個很重要的事情,這是喜事啦我另外看你說你保證當有一個地板,價格不會亂漲你有去注意到它的價格漲了沒有?它的價格現在在95到100之間在浮動,還是在浮動,像今天97塊來來來,我給你看 |
transcript.whisperx[183].start |
5533.069 |
transcript.whisperx[183].end |
5543.782 |
transcript.whisperx[183].text |
今年過年的時候啦 叫九年 一樣都過年來比啦九年 二月過年嘛 那時候一公斤的豬肉 八十七塊三角 漲了多少 |
transcript.whisperx[184].start |
5546.372 |
transcript.whisperx[184].end |
5570.326 |
transcript.whisperx[184].text |
漲了11.5塊錢同樣都是過年啦去年的過年較近年我們過年的時候 大家比較一下去年的過年在2月份嘛 今年在1月份從87.3 漲到98.7啦漲了11塊多 真的幅度是蠻大的好 那這裡就要過端午啦我辦公室就去清查 你看來咧去年的端午節是在六月九十點七二嘛這幾天我們租的價格一公斤 |
transcript.whisperx[185].start |
5575.256 |
transcript.whisperx[185].end |
5589.864 |
transcript.whisperx[185].text |
已經漲到97.21%了漲了6.5%我跟委員報告委員也是來自於農業縣那其實我們在考慮剛才你的角度是從消費的角度那從農民的角度我一定考慮他的成本 |
transcript.whisperx[186].start |
5590.864 |
transcript.whisperx[186].end |
5613.723 |
transcript.whisperx[186].text |
像您剛才講的在2月份的時候87.3元跟95元但那個時間點其實我們的飼料飼料的價格也變高了所以以農委會來講就是我們會去期待的空間從早期的75到85 85到95現在是希望說它能夠至少在這段時間是95到100之間但是我們長期來講是85到95之間是一個比較合理的 |
transcript.whisperx[187].start |
5618.607 |
transcript.whisperx[187].end |
5645.239 |
transcript.whisperx[187].text |
所以我期待就是說他雖然說年節有貴一點但是農民整個粽子裡面有稻農他們希望的米有豬肉他的豬籠還有鴨蛋的鴨籠那這些其實他們就是靠他們沒有所謂的年終獎金他們就是靠在過年過節的時候可能有一點點的高一點對他們來講就是一個福利啦所以以農業部來講我們覺得這個價格是一個合理的一個區間 |
transcript.whisperx[188].start |
5646.596 |
transcript.whisperx[188].end |
5668.161 |
transcript.whisperx[188].text |
對啦 當然 讓消費者 一般的民眾不要買不起粽子或覺得太貴啦 這是第一點嘛而且當然 農民也要顧得到啦所以我今天給你看 就是說老實講 像去年 像過年喔 老實講 幅度真的大了一點11塊多 我不反對要漲啦 當然也要照顧到啦可是幅度不要那麼大 波動不要太大這一次是要漲了11%第二個 今年我現在統計的是到現在 這點可能還在漲 |
transcript.whisperx[189].start |
5672.862 |
transcript.whisperx[189].end |
5694.995 |
transcript.whisperx[189].text |
注意一下啦 當然如果是6.5%可能還好啦不要破百啦 如果那個真的97.21%如果破百的話真的 對啦 最近我跟大家講的95%-100% 我們希望大概這個95%到100%之間注意一下不要破100% 當然豬農 農民我們都要照顧不要破100%好 另外一個今年第一波又另外一個問題就是剛才講的澳洲的這個豬肉啦 |
transcript.whisperx[190].start |
5697.878 |
transcript.whisperx[190].end |
5708.677 |
transcript.whisperx[190].text |
你澳洲你檢查出來那個那些豬肉啊 70噸他現在流到哪裡去 應該不會包到粽子裡面去吧不會齁 這有控制嗎 |
transcript.whisperx[191].start |
5710.318 |
transcript.whisperx[191].end |
5730.512 |
transcript.whisperx[191].text |
以我們農業部來講我關心的是台灣的豬肉那這些進口豬肉本身它是以衛務部來管的它有相關的一個追蹤系統但是第二個我還是要跟委員說明就是說從國外進口的任何國家進口的豬肉我們國家都會嚴格的把關去符合我們國內所定的標準 |
transcript.whisperx[192].start |
5731.412 |
transcript.whisperx[192].end |
5755.337 |
transcript.whisperx[192].text |
那相關的這些萊克多巴胺也有一些國內的制定的標準那一定是在這個標準內符合這樣的規範才能夠進來的所以一定是安全的現在就是剛才說的嘛90%以上的民眾裡面那個瘦肉精不只要標示啦流向要清楚嘛今天特別提出來問的原因就是現在端午節要搞就是又滴肉一定硬著嘛對不對怎麼避免他跑到粽子裡面去 |
transcript.whisperx[193].start |
5757.944 |
transcript.whisperx[193].end |
5779.843 |
transcript.whisperx[193].text |
這個要追一下 要堆一下喔對 那我們農業部付錢就是供來的豬肉我一定給供來的豬肉充足的充分的去供應我們國內的需求這是我們農業部的責任你不知道澳洲那個豬肉到底後來有塑膠精流到哪裡去我想這個是衛福部在主管的我們 |
transcript.whisperx[194].start |
5781.229 |
transcript.whisperx[194].end |
5799.388 |
transcript.whisperx[194].text |
因為權責的關係嘛我剛才說我只負責國內的豬肉要滿足我們國內的需求你可能要問一下啦我會進一步再去問一下你流行到哪裡去了好不好不要再吃掉了90%的民眾都有意見不過基本上他是安全的才能夠讓他進來這個要讓消費者知道啦 |
transcript.whisperx[195].start |
5800.149 |
transcript.whisperx[195].end |
5827.923 |
transcript.whisperx[195].text |
含有萊劑的它只要符合相關的我們的一個殘留標準的話它進來是安全的不要誤導說萊劑就是毒啦我覺得這個以我學自然科學的角度來講它應該是國內政府一定會把關這個部分我想我們一定會再跟消費者多宣導現在就是做兩個嘛第一要把關嘛第二要標示清楚嘛對不對所以要問流暢嘛所以第一個我們要堅持要繼續標示第二肉汁多高啊所以要去追一下那流暢好不好 |
transcript.whisperx[196].start |
5828.803 |
transcript.whisperx[196].end |
5855.981 |
transcript.whisperx[196].text |
好來 那有點時間我給你 這個是算我們超大的喜事嘛因為部長 台灣豬最近就可以銷到日本了這樣子齁 我們其實豬有三大疫病一個是傳統豬瘟 一個是非洲豬瘟 還有一個是口蹄疫那傳統豬瘟 像日本一定要這三大疫病都沒有了才能夠去跟他申請 不是自動就可以輸出啦 |
transcript.whisperx[197].start |
5856.641 |
transcript.whisperx[197].end |
5882.76 |
transcript.whisperx[197].text |
那像菲律賓他覺得認為我們乾淨了我們就可以直接生鮮了嘛新加坡也是所以我們大概其實我們已經已經被WHO就確認了那我們在6月初我想我們會正式的對外公開我們是三大預期這個我想委員都都在農業間都知道這是一個喜事那接下來就是我們怎麼樣好好的利用這樣的一個優勢去跟 |
transcript.whisperx[198].start |
5883.661 |
transcript.whisperx[198].end |
5908.601 |
transcript.whisperx[198].text |
日本市長因為日本市長早期對我們的豬肉他的價位蠻高的對農民來講也是一個增加他收入的來源包括其他的國際行銷那這個部分我想我們會持續來努力那也謝謝委員的關心這很大的啟示讓國人知道我們的豬肉要外銷了連日本我們都要銷到日本去了這很大的好事情謝謝部長現在農業部最近做了一個重要的事情就是要 |
transcript.whisperx[199].start |
5909.85 |
transcript.whisperx[199].end |
5932.628 |
transcript.whisperx[199].text |
做這個光電啦光電要審查農業用地變更以後作為那個太陽光電設施的使用涉及到生態的做一個指引嘛對不對我要特別強調第一老兄光電我們已經推了九年了現在才開始做這個指引老兄說有一點忙有一點忙啦有一點在補破網就是光陽補牢所以速度要加快 |
transcript.whisperx[200].start |
5933.727 |
transcript.whisperx[200].end |
5962.264 |
transcript.whisperx[200].text |
我想生態指引不只是為了光電還有所謂的開發案我們希望這開發案有一個很好的生態指引以前就是沒有很明確的指引的時候會造成很大的爭議所以我希望說這個指引能夠讓我們的生態永續前提之下能夠兼顧到一些公共建設的開發或其他的產業開發太陽光電不只產生了很多這個幣你看光是檢察官起訴的案子超過100件然後你看破壞那個農地 |
transcript.whisperx[201].start |
5964.332 |
transcript.whisperx[201].end |
5991.343 |
transcript.whisperx[201].text |
是非常嚴重的有很多專家跟媒體他們在統計喔你看看說被光電消失的西海岸面積有多大真的很驚悚1.3個台北市的這個面積那裡面老實講很多都是農地我把黃色的框起來不地耕作的地區低地利的這個土地一電共生還有台南這很多土地全部都是農地喔 |
transcript.whisperx[202].start |
5993.218 |
transcript.whisperx[202].end |
6009.827 |
transcript.whisperx[202].text |
所以農地要怎麼保護到農地然後第二個怎麼照顧到我們農民這個要很加油我也可以很明確的報告以農業部的立場來講我們一定會保護我們的農地那農地在處理其他的方案處理產業開發結合的時候兩個方式一個是農許嘛 |
transcript.whisperx[203].start |
6012.968 |
transcript.whisperx[203].end |
6040.671 |
transcript.whisperx[203].text |
那容許我們也是會嚴格看他的經營項目另外一個是變更啦那變更的部分他有他特定的條件而且必須經過區委會同意那以現在來講我們現在變更大概1726公頃那我們針對很容易被拿去兩公頃以下很容易被亂搞所以我們兩公頃以上我們餘力不準除非很特殊的情況所以這個部分 |
transcript.whisperx[204].start |
6041.551 |
transcript.whisperx[204].end |
6058.18 |
transcript.whisperx[204].text |
過去也大概有將近780公頃左右那這個部分就鎖住了以後不會再有2公頃的部分那大型的開發一定會進到區委會那區委會會有一個的審查所以農業部來講我們一定會保護我們的農地做最好的一個利用 |
transcript.whisperx[205].start |
6059.076 |
transcript.whisperx[205].end |
6073.799 |
transcript.whisperx[205].text |
副長我上個月有跟你要資料啦結果你回的就是我剛剛講的嘛現在農地變更了有做光電的1726公頃嘛對不對對那漁電共生的是2620公頃差不多嘿對你有發現沒有是人家專家學者你看 |
transcript.whisperx[206].start |
6074.68 |
transcript.whisperx[206].end |
6098.973 |
transcript.whisperx[206].text |
上萬耶沒有啦,沒那麼多因為我們是一筆一筆統計的有一些是屋頂型的喔很多像敘舍有沒有敘舍上面的屋頂你如果把它鑽進去當然很多啦但是敘舍本身它不會因為你蓋了屋頂而影響到它的農地利用這個部分要拿掉 |
transcript.whisperx[207].start |
6100.255 |
transcript.whisperx[207].end |
6126.57 |
transcript.whisperx[207].text |
部長我們更精準的去算好不好是你給我的看起來跟那個一些專家寫者去算的落差有點大所以你能不能用剛剛講這個整個名目你說埔地耕作區的地利率的這個土地多少給我一個比較精細的好不好會 我們會給你一個比較精細的最後我再問一下 因為時間也到了我最近這兩三個月在注意這個餘電共生我一直問你幾個月了你前面會答應我現在要去查餘電共生上面那個氣溫 |
transcript.whisperx[208].start |
6128.223 |
transcript.whisperx[208].end |
6133.546 |
transcript.whisperx[208].text |
本來它上面蓋的光電只能四十,它現在一百趴那個,你說一個月...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我...我... |
transcript.whisperx[209].start |
6152.758 |
transcript.whisperx[209].end |
6180.435 |
transcript.whisperx[209].text |
所以這個部分我們一定會去清查如果不合法的話我們一定會主動的去跟人員去處理部長我這邊有非常具體連地號都有我等一下再拿給你對像這個蓋一個人的地方在台南就是有地方我等一下給你好不好你每天的錢包裡面四個地號我們查了基本上都是合法的因為申請光電的面積跟它蓋的是40%對不對但是它蓋的時候可能在 |
transcript.whisperx[210].start |
6181.587 |
transcript.whisperx[210].end |
6204.912 |
transcript.whisperx[210].text |
在那個餘溫的時候可能會有點集中的情形所以讓你覺得說好像超過了百分之四十但是它整體是合法的這個部分我想我們會整理整理完以後再聽我質詢還有我要給你的是不只超過百分之四十在漁民上面百分之百都蓋了啦對但是它地目申請是符合百分之它在其他地方整體的它百分之四十可以可是餘溫上面就一定是百分之四十嘛對不對 |
transcript.whisperx[211].start |
6205.552 |
transcript.whisperx[211].end |
6205.892 |
transcript.whisperx[211].text |
現在請正天才委員做詢答 |
transcript.whisperx[212].start |
6242.703 |
transcript.whisperx[212].end |
6244.804 |
transcript.whisperx[212].text |
主席 各位委員 有請部長部長好 |
transcript.whisperx[213].start |
6256.816 |
transcript.whisperx[213].end |
6282.489 |
transcript.whisperx[213].text |
今天這個審查這個我們召委還有郭委員所提的農民退休儲金條例第七條的一個修正要特別把這個主管機關要提繳的部分提高為1.5倍改為1.5倍本來是相同的改為1.5倍農業部的這個報告裡面特別提到 |
transcript.whisperx[214].start |
6283.841 |
transcript.whisperx[214].end |
6289.624 |
transcript.whisperx[214].text |
農民領取老農津貼及農退儲金合計約38,479元這是每月勞工領取勞保老年給付加上勞工退休金合計約每個月33,095元 |
transcript.whisperx[215].start |
6307.816 |
transcript.whisperx[215].end |
6334.391 |
transcript.whisperx[215].text |
你們做這樣的一個比較然後特別提到這個如果修正為這個1.5的話會再提高到45431影響不同職業間的橫貧性而事實上這個如果每一次做一個這個調整然後就要做比較的話那永遠就不能比 |
transcript.whisperx[216].start |
6335.59 |
transcript.whisperx[216].end |
6363.532 |
transcript.whisperx[216].text |
農業就不能調啦所以是有時候是我們這邊調然後去帶動其他的比如說帶動勞工的調整都是有這個需要性何況勞工基本上勞工基本上他是這個每隔月每隔月領薪水啦平常的時候上班還沒有退休的時候 |
transcript.whisperx[217].start |
6365.322 |
transcript.whisperx[217].end |
6389.567 |
transcript.whisperx[217].text |
跟農民不一樣農民是看天吃飯很重要是看天吃飯不只是看天還要看什麼還要看這個消費對不對現在還要看什麼誰要看美國對不對川普的經濟川普的關稅所以這個 |
transcript.whisperx[218].start |
6390.697 |
transcript.whisperx[218].end |
6415.826 |
transcript.whisperx[218].text |
因素也很多啦因素也很多所以這個部分這個再請這個農業部好好的評估然後另外這裡面很重要的這個你們的報告裡面第三點提到經分析農民未參加農退儲金之原因與農民之儲息意願儲息能力有關這個就是平常他的收入有關係啦 |
transcript.whisperx[219].start |
6417.675 |
transcript.whisperx[219].end |
6441.175 |
transcript.whisperx[219].text |
跟他平常跟我剛剛講的有關係所以這個部分是一個他不確定的收入也不像勞工每個月領不像公務連每個月領他不是所以他因素很多所以就會產生這樣的一個考量所以農業部是不是在好好的評估在支持 |
transcript.whisperx[220].start |
6442.035 |
transcript.whisperx[220].end |
6456.07 |
transcript.whisperx[220].text |
我第一個跟委員報告我們農業部的立場絕對沒有否定包括希望委員或國務委員等委員所提的提案那我剛才說的就是我們一開始會做先做客觀的分析那因為以 |
transcript.whisperx[221].start |
6457.931 |
transcript.whisperx[221].end |
6483.589 |
transcript.whisperx[221].text |
農業部來講當然越高對農民越有利可是相對的當政策執行下去的時候也會考慮到跟其他的類似的這樣子一個方的條例或辦法的時候的橫平性所以我們這邊提到的所以我們會再做一些評估同時是不是能夠有一些也達到委員的期待然後有更好的方式也能夠增加更多的 |
transcript.whisperx[222].start |
6484.749 |
transcript.whisperx[222].end |
6512.419 |
transcript.whisperx[222].text |
農民來參加這個除菌我想這是我們共同的目的啦我們一定會很仔細的去做更細部的一個分析這個部分一定不能光用數字去衡量去比較啦必須考量我剛剛講的這些很多的因素所以這個部分也請農業部這邊考量好另外就是這個我一再提的 |
transcript.whisperx[223].start |
6514.087 |
transcript.whisperx[223].end |
6536.746 |
transcript.whisperx[223].text |
這是你們3月26號的報告施行農民退休儲金制度提繳受益人數累計約10.9萬人覆蓋率約33.7%所以光我們從這個跟勞工的就不一樣勞工的很高幾乎是百分之百因為它強制的嘛 |
transcript.whisperx[224].start |
6537.766 |
transcript.whisperx[224].end |
6564.306 |
transcript.whisperx[224].text |
所以這個 老公只有16而已喔志願提交才16個而已喔他們只有16嗎 16我們農業參加退休初見對 那個可能是有包含的那個那個不是 那個叫什麼沒有 那個是雇主提領6%的這個部分我們算過了 這個是16%所以農民本身的一個宣導我們是有加強宣導的效果啦 對好 我們看這個 |
transcript.whisperx[225].start |
6567.31 |
transcript.whisperx[225].end |
6572.416 |
transcript.whisperx[225].text |
這是今天的報告裡面裡面提到這個 |
transcript.whisperx[226].start |
6576.318 |
transcript.whisperx[226].end |
6600.309 |
transcript.whisperx[226].text |
統計114年3月底曾經參加農退儲金受惠人數合計約11萬人含移領這個部分佔未滿65歲且經系統比對符合資格者比例約為49%這個也提高了是吧是這是很好的一個成效好我們看這個 |
transcript.whisperx[227].start |
6602.349 |
transcript.whisperx[227].end |
6605.551 |
transcript.whisperx[227].text |
我還是要再為原住民的農民來記這個是之前的一個數字這個是112年10月31號的數字 |
transcript.whisperx[228].start |
6620.39 |
transcript.whisperx[228].end |
6632.084 |
transcript.whisperx[228].text |
原住民農民提繳農退儲軍的只有佔百分之五點七真的是這個比例很高我跟委員更新一下這個數據您這邊的數據是去年的數據嗎有這邊有你們這個新的 |
transcript.whisperx[229].start |
6640.948 |
transcript.whisperx[229].end |
6647.714 |
transcript.whisperx[229].text |
新的數據現在還有更新的現在是866現在更新的是972到3月27號的是866現在已到上個禮拜是972972我們很努力的在做宣導所以這個部分這個宣導之外你們就是要去了解 |
transcript.whisperx[230].start |
6666.348 |
transcript.whisperx[230].end |
6678.896 |
transcript.whisperx[230].text |
原因啊原因是不是他就是刚才你的报告里面提的搅不起所以这个部分所以在这样的一个情况之下是不是可以思考 |
transcript.whisperx[231].start |
6680.708 |
transcript.whisperx[231].end |
6706.757 |
transcript.whisperx[231].text |
這個制度的調整制度的調整就原住民的部分也許就有一個制度的調整希望他們能夠講而起或怎麼樣去做鼓勵所以這個部分所以這個是一個你們在宣導的時候也了解一下原因是什麼好不好會 我們每次宣保的時候都會收集相關的意見因為在這樣的一個比例如果從這個 |
transcript.whisperx[232].start |
6712.516 |
transcript.whisperx[232].end |
6728.554 |
transcript.whisperx[232].text |
783這是112年的10月31號的數字經過你們的努力之後到3月今年的3月27是866沒有增加多少 不到100嘛增加的然後你現在是900多嘛 900幾 |
transcript.whisperx[233].start |
6731.636 |
transcript.whisperx[233].end |
6755.708 |
transcript.whisperx[233].text |
現在是972然後現在的農保的人數也降低了大概是11995人所以那個比例有增加那是因為那個農民的人數我們參加的人數也增加了然後總農保的人數有稍微下降所以它是浮動的啦那我跟委員報告 |
transcript.whisperx[234].start |
6757.049 |
transcript.whisperx[234].end |
6779.428 |
transcript.whisperx[234].text |
整體看起來是百分之八好像比平均的還低但是有一些縣市幾乎都是零啦這個部分就是我們宣傳的重點那有一些縣市我想像嘉義的其實嘉義的其實有達到百分之五十然後剩下的有達到像台南的有達到百分之三十五桃園的有達到百分之二十五 |
transcript.whisperx[235].start |
6780.129 |
transcript.whisperx[235].end |
6796.982 |
transcript.whisperx[235].text |
但是因為有零的關係他會把整體的平均拉下來那這些資訊都是我們未來宣導的一個重點特別是針對比較比例比較低的部分好這個部分這個新的數據再提供給我好謝謝好謝謝現在請楊瓊英委員做詢答 |
transcript.whisperx[236].start |
6808.536 |
transcript.whisperx[236].end |
6809.016 |
transcript.whisperx[236].text |
謝謝主席 楊瓊發言 邀請陳部長 |
transcript.whisperx[237].start |
6819.417 |
transcript.whisperx[237].end |
6847.707 |
transcript.whisperx[237].text |
我們來討論這個老農津貼因為本席有提案我們老農津貼排庫的條款14年沒有檢討但是到目前為止我們看到長期的通貨膨脹以及公告地價房價上漲不少實際上他真的生活有困難的老農也因為這樣的原因非他所願那僅因土地增值而喪失了勤領的資格 |
transcript.whisperx[238].start |
6848.507 |
transcript.whisperx[238].end |
6851.117 |
transcript.whisperx[238].text |
那导致什么呢?帐面有地 |
transcript.whisperx[239].start |
6852.482 |
transcript.whisperx[239].end |
6880.701 |
transcript.whisperx[239].text |
實際無資源帳面有地實際無資源的矛盾持續所以農業部雖然你有說了我們的排付條款排付條件是比其他的社府寬鬆一點但是曾經在107年修法放寬的條件根本沒有辦法去解決因為物價以及地價所變化所帶來的自動失格 |
transcript.whisperx[240].start |
6881.946 |
transcript.whisperx[240].end |
6899.484 |
transcript.whisperx[240].text |
自動失格所以會導致整個制度的失衡跟民怨串起所以本席首先要請教部長本席所提出的老農津貼暫行條例的第四條修正條文當中您是不是支持 |
transcript.whisperx[241].start |
6901.886 |
transcript.whisperx[241].end |
6930.006 |
transcript.whisperx[241].text |
由原先我們大概是現在限定是500萬那這個應該要有所提升也就是因應剛剛本席所說的他因為房價上漲公告地價上漲導致形成了帳面有地那實際無資源導致自動失格的這個情況那你是不是支持老農今天應該要與時俱進來保障老農 |
transcript.whisperx[242].start |
6931.294 |
transcript.whisperx[242].end |
6951.468 |
transcript.whisperx[242].text |
的一個晚年生活請說明我想基本上農業部的立場是支持這樣子的一個排布條款的修正當然那整個排布條款大概分為幾個部分一個部分就是所得的部分一個部分是財產的部分另外一個部分是你唯一自住房子的金額的調整所以你目前設定的五百萬 |
transcript.whisperx[243].start |
6953.618 |
transcript.whisperx[243].end |
6971.176 |
transcript.whisperx[243].text |
14年沒有修 這個有討論空間嘛對不對絕對有 那你要趕快支持啊本席提案啊 暫停條例第四條啊不是 我想我們在上個會期本身我們就有把我們的方案送到行政院去 |
transcript.whisperx[244].start |
6971.896 |
transcript.whisperx[244].end |
6998.798 |
transcript.whisperx[244].text |
那行政院在上個會期的時候曾經討應該是在113年的2月份去年嘛去年就是520以前啦現在進度到底到哪裡那我們把我們的方案送到行政院那行政院那時候初步的討論是說要跟八大社會同步啦那我們是希望我們的情況跟社會不一吧所以你從去年2月 |
transcript.whisperx[245].start |
7001.32 |
transcript.whisperx[245].end |
7024.316 |
transcript.whisperx[245].text |
到現在進度呢沒有 因為最後的核定我想我們還會跟行政院做積極的爭取包括我剛才說的因為整個公告的價格有沒有 現值已經有調升了嘛那我們這個部分應該 排付的部分應該也要從500萬可以拉 剛好看要拉到700或是800那這個數目是可以 本期提案800萬嘛 |
transcript.whisperx[246].start |
7025.117 |
transcript.whisperx[246].end |
7040.573 |
transcript.whisperx[246].text |
沒有我覺得這個是本席的提案然後還有就是鎖的部長我也知道本席也知道你對於農業你是全力以赴的支持但是你要有方法啊你從去年的二月份送給行政院到現在超過一年了 |
transcript.whisperx[247].start |
7041.794 |
transcript.whisperx[247].end |
7068.556 |
transcript.whisperx[247].text |
一年將近要三個月了那我們怎麼辦你不能只有嘴巴說我支持啊你現在是農業部長欸你怎麼樣跟行政院要支持你啊我們都支持你啊支持農業啊行政院也非常重視這個訊息非常重視這個訊息一年多沒給答案我們基本上因為這個考量到還有其他社會的同步請問接下來要怎麼做 |
transcript.whisperx[248].start |
7069.216 |
transcript.whisperx[248].end |
7085.084 |
transcript.whisperx[248].text |
接下來我想我們會請專案報告給卓院長這邊了解什麼時候專案報告給卓院長送到行政院二月份到現在一年三個月我們會盡快的聯絡下個禮拜送 |
transcript.whisperx[249].start |
7089.304 |
transcript.whisperx[249].end |
7118.268 |
transcript.whisperx[249].text |
我們已經送進去行政院了基本上我們會安排跟院長做專案報告然後看看其他的社福的什麼時候安排專案報告哪有一個行政效率一年三個月還沒有達我們會努力來安排時間啦多久會安排我上禮拜就開始安排了啦你上禮拜安排喔你下禮拜就快走啊我相信很快的就是你相信很快我還再一次相信你的很快 |
transcript.whisperx[250].start |
7119.965 |
transcript.whisperx[250].end |
7142.222 |
transcript.whisperx[250].text |
因為時間不是我決定的 但是我們有在做這件事情我們要積極啦我們沒有辦法管控別人管控自己一年三個月我們得不到答案我腦農多可憐 自動失格是因為你房價上漲 是因為你公告地價上漲所以實際上生活是有困難的 |
transcript.whisperx[251].start |
7145.325 |
transcript.whisperx[251].end |
7172.782 |
transcript.whisperx[251].text |
趕快加油 是我期待下個禮拜能夠看到聽到你的專案報告給我們答案 好不好接下來本期要請教農業金庫的問題5月21號媒體也給你報導了我們一兆的錢一兆的錢六成來自於我們的農漁會但是我們的董建市會15席裡頭10席是你政府指派 |
transcript.whisperx[252].start |
7174.301 |
transcript.whisperx[252].end |
7197.569 |
transcript.whisperx[252].text |
出六成的人只有五席有一點失衡所以本席具體建議我先跟委員報告這個資訊本席具體建議可以再來調整很多人會怕說是不是有政治力的介入我不希望看到這樣子所以第一個等一下題目先講完第一個席次可以來做討論有討論的空間讓他能夠均衡 |
transcript.whisperx[253].start |
7203.629 |
transcript.whisperx[253].end |
7225.006 |
transcript.whisperx[253].text |
第二個 本席要請教因為很多人怕說會有政治力的影響所以 部長你有沒有討論 研議是不是得以讓第三方的監督力量進來可以讓他更加的中立更加的透明因為我們知道說 |
transcript.whisperx[254].start |
7226.365 |
transcript.whisperx[254].end |
7239.157 |
transcript.whisperx[254].text |
政府 尤其農業部長您我是非常敬佩您我絕對支持政府要輔導我們的農業轉型在現階段是非常非常的重要農業轉型之後還要再跟這個國際來接軌 |
transcript.whisperx[255].start |
7242.284 |
transcript.whisperx[255].end |
7261.469 |
transcript.whisperx[255].text |
因為都是地球村跟國際來接軌所以有更透明更苛責的這個制度絕對對我們的農業轉型跟世界接軌它絕對更有幫助換句話說這兆元的資金能夠更有效的用在我們農民農業所需請說明 |
transcript.whisperx[256].start |
7264.53 |
transcript.whisperx[256].end |
7293.269 |
transcript.whisperx[256].text |
第一個 您這邊講到說只有五席來自農漁會其實在15席 董事裡面有九席那農業部的關股的部分我們也有兩席是由農會來的然後獨立董事裡面的五席當然啦 那是你派的啊雖然他是農業 但是你派的啊對不對所以基本上 這個就是您講的就是說你去討論好不好我希望的是資金出的人是六成那我們要怎麼樣去均衡 |
transcript.whisperx[257].start |
7294.791 |
transcript.whisperx[257].end |
7312.992 |
transcript.whisperx[257].text |
讓制度不失衡這是重點第二個本席請問你的是不是同意讓我們的造園資金可以更公開透明所以換句話說地方第三方的這個監督機制得以去研議加入我想讓整個的一個 |
transcript.whisperx[258].start |
7317.254 |
transcript.whisperx[258].end |
7331.196 |
transcript.whisperx[258].text |
執行面的部分做更該透明 我絕對同意那剛才委員也特別提到因為農業金庫是我們的很多農業的方案的一個合法的單位所以不應該有太多的政治力介入 |
transcript.whisperx[259].start |
7332.678 |
transcript.whisperx[259].end |
7360.577 |
transcript.whisperx[259].text |
就是人民在監督不希望的但是相對的你看嘛我們現在的公股的董事長他是一個專業經理人那用專業的方式去經營農業經股是我們農業部要求的所以你更可以同意讓第三方監督機智進場嘛對有一些更公開的部分去做處理理性研議啦理性研議方案怎麼樣我們的目標要公開透明很重要但是不希望說去調整到他的在接下來本席最後一個議題請問 |
transcript.whisperx[260].start |
7362.355 |
transcript.whisperx[260].end |
7383.602 |
transcript.whisperx[260].text |
我看到我們的社群裡頭 媒體報導有這個動物收容所的管理員 他把狗灌水 掃餵食然後他說他因為他怕狗 他不想掃大便 所以他這麼做 他自己承認 |
transcript.whisperx[261].start |
7385.034 |
transcript.whisperx[261].end |
7411.113 |
transcript.whisperx[261].text |
我們台灣社會怎麼會有這樣的一個現象產生呢所以我們從機制面來看收容所的人員的遴選跟工作配置是不是應當要有訓練要有專業要有適任性部長 是不是應當要如此我絕對同意齁你絕對同意 接下來本席再跟你說這樣子的一個情況那發生了這個調職 |
transcript.whisperx[262].start |
7412.984 |
transcript.whisperx[262].end |
7437.529 |
transcript.whisperx[262].text |
那你後續要怎麼做所以本席具體建議請教部長面對這樣子的缺失你的監督機制在哪裡你整個全國性的聘任最重要本席強調的訓練機制你要怎麼做你是不是還有國會走來走去你的跨縣市的一個監督機制跟集合 |
transcript.whisperx[263].start |
7439.589 |
transcript.whisperx[263].end |
7467.255 |
transcript.whisperx[263].text |
懲戒你是不是應該去研討你至少要保障動物最低的一個保障嘛這是基本條件嘛要怎麼做請教委員上次質詢也提到這樣的一個案子那其實我們也遵照委員的建議包括在職訓練要怎麼樣更落實那怎麼還會這樣子的情況發生呢這個聘任制度要怎麼樣去確保然後還有就是說 |
transcript.whisperx[264].start |
7469.136 |
transcript.whisperx[264].end |
7494.506 |
transcript.whisperx[264].text |
當你在做這個事情的時候你根本不知道他真正對動物的愛心或是行為當你有愛心的話絕對不會做這種事情所以遇到這種事情的話那些懲處不只是吊詞我覺得應該有更嚴謹的回歸到動保法的相關的處罰條例那這個部分我們已經在做專案的時候因為還要跟各縣市在做一個比較有效的做專案的處理發生事情我們必須該當權責要怎麼去理清楚 |
transcript.whisperx[265].start |
7498.087 |
transcript.whisperx[265].end |
7516.977 |
transcript.whisperx[265].text |
第二個是本席也非常重視的也就是發生了這個事情我們要盤點一下我們的訓練機制到底夠不夠這個很重要你把你們訓練的機制方式以及成效這個成果一份書面資料給本席我們規劃完以後我們就會提供給委員一定要落實好 謝謝 |
transcript.whisperx[266].start |
7533.834 |
transcript.whisperx[266].end |
7552.891 |
transcript.whisperx[266].text |
好 接下来我们请谢一芬委员 请做询答好 谢谢主席 我想要请陈部长我们请部长 |
transcript.whisperx[267].start |
7559.588 |
transcript.whisperx[267].end |
7575.449 |
transcript.whisperx[267].text |
委員好部長好去年我們颱風影響到荔枝的樹勢所以今年荔枝的佐果又受到低溫的影響那我們彰化有很多的荔枝果園的話會受損嚴重其中以 |
transcript.whisperx[268].start |
7575.99 |
transcript.whisperx[268].end |
7600.471 |
transcript.whisperx[268].text |
黑葉、玉荷包等的那個品種最為嚴重所以農業部他公告說彰化縣是符合天然災害救助的標準是不是那但是我們現在的農業保險裡面卻只有針對氣溫太高以及降雨太多才會啟動理賠那這個部分未來是不是可以提供給農民更好的保險內容 |
transcript.whisperx[269].start |
7601.632 |
transcript.whisperx[269].end |
7622.68 |
transcript.whisperx[269].text |
第一個就是非常謝謝委員的關心特別是針對荔枝的一個產業發展那我們也去看了縣幹分兩個部分天然摘的部分我們看的確花開得很漂亮但是沒有佐果的部分所以我們開了天然摘來救助第二個部分就是農業保險的部分農業保險本身它現在是開水跟溫度 |
transcript.whisperx[270].start |
7624.221 |
transcript.whisperx[270].end |
7642.856 |
transcript.whisperx[270].text |
但是相對的因為他必須由我們的試驗單位去界定多少的雨量跟多少的多低的溫度會影響那這個部分我也已經請我們試驗場的同仁去做更明確的界定那界定完了以後就可以納到保險裡面去 |
transcript.whisperx[271].start |
7643.516 |
transcript.whisperx[271].end |
7664.822 |
transcript.whisperx[271].text |
好那過去我們除了就是荔枝春夏以外其實我們荔枝細蚵對於荔枝的落果以及外觀也會造成影響會影響到我們荔枝的品質那所以未來除了春夏以外對於荔枝細蚵我們可以有什麼樣子的處置 |
transcript.whisperx[272].start |
7665.582 |
transcript.whisperx[272].end |
7688.041 |
transcript.whisperx[272].text |
我想我們基本上都像荔枝春相本身它有生物防治跟非生物防治嘛看它不同的時間點那荔枝繫兒的時候我們也可以用其他的方式像用特定的光譜特定的光譜去照射的時候讓它不會吸引它那這個部分在實驗單位都有些成果我們會盡量的 |
transcript.whisperx[273].start |
7689.622 |
transcript.whisperx[273].end |
7707.279 |
transcript.whisperx[273].text |
因為荔枝蟹兒牠怕光嘛對不對牠又不能藍光 特別的光啦 特定風暴的話牠可以去那個 對所以我們就可以利用這樣子來防治嘛 是好 那再回到我們今天的主題喔其實我們今天修的這個農民退休條例第七條喔 |
transcript.whisperx[274].start |
7709.727 |
transcript.whisperx[274].end |
7733.77 |
transcript.whisperx[274].text |
那個部長你知道嘛其實我們提供的這個相關的提撥金額是對於農民有一個比較好的保障而且其實我們第7條的第3項第4項有講到就是我們提收的退撥儲金不計入當年度 |
transcript.whisperx[275].start |
7735.235 |
transcript.whisperx[275].end |
7762.535 |
transcript.whisperx[275].text |
怎麼樣提繳的這個其他的所得課稅嘛是不是那其實對於農民有一個比較好的而且這個跟老農年金不一樣嘛那我們當初在推行的時候就發現到很多農民他如果加入農保或是相關的他有時候其他的課稅太高的時候他沒有辦法領到那個他會被剔除耶 |
transcript.whisperx[276].start |
7763.015 |
transcript.whisperx[276].end |
7768.612 |
transcript.whisperx[276].text |
是不是?是他會被剔除農民資格欸對那他就沒有辦法領導農年金欸沒有 |
transcript.whisperx[277].start |
7771.324 |
transcript.whisperx[277].end |
7793.363 |
transcript.whisperx[277].text |
農民退休儲金你要加保的時候你農保一定是綠燈所有的條件都符合那這個部分因為有些農民他擔心他的農保可能短時間剛好有點換地質或是土地有一些買賣或什麼的所以他就不敢加保那這個可能就是我們必須要去更加強的宣導的一個原因 |
transcript.whisperx[278].start |
7793.863 |
transcript.whisperx[278].end |
7812.093 |
transcript.whisperx[278].text |
不只這個啦還有其他的相關的啦就是說大家對於這個其他的條例的部分那當然你知道說我們那個勞農津貼有很多農民在最後的時候他可能因為土地的轉移等等的 |
transcript.whisperx[279].start |
7812.773 |
transcript.whisperx[279].end |
7838.648 |
transcript.whisperx[279].text |
他可能都沒有辦法領到這些不過他不影響老農津貼嘛老農年金的影響不影響65歲以上對 我是說他有可能都沒有辦法領到老農津貼你知道線型上面線型上面對啦 那個就是排富的部分那排富的部分剛才也說了委員也在關心排富條款我們就盡可能的努力去讓這個排富條款能夠做適度的放寬這個我們會來努力 |
transcript.whisperx[280].start |
7840.325 |
transcript.whisperx[280].end |
7864.296 |
transcript.whisperx[280].text |
你們會去努力嗎對我們本身就認同這樣的方式會努力嗎我們認同這樣的方式我認為喔其實我們提高這個比例喔那還是放在政府的部門裡面啊是不是我們提高了這個比例最後還是放在政府部門裡面啊是不是不是最後放在是不是勞保沒有他的個人的賬戶裡面喔我是說 |
transcript.whisperx[281].start |
7866.4 |
transcript.whisperx[281].end |
7882.157 |
transcript.whisperx[281].text |
我是說當然啦最後是個人的賬戶裡面可是他還是給勞保局的那個基金運用管理局來全權處理嘛還是政府的基金部位嘛是不是那所以你有問過嗎其他的勞保基金 |
transcript.whisperx[282].start |
7883.098 |
transcript.whisperx[282].end |
7911.499 |
transcript.whisperx[282].text |
管理局他們也有沒有意見那財政部有沒有相關意見那其實在某種程度上面我們還是在政府的基金操作裡面啊是不是那我們還是維持相關的穩定的那個啊那其實也沒有說也沒有說給予農民的比例有什麼樣子的提高只是提高他的保障而已嘛是不是那連這樣子提高他們的保障 |
transcript.whisperx[283].start |
7912.66 |
transcript.whisperx[283].end |
7929.055 |
transcript.whisperx[283].text |
我覺得這個也沒有什麼沒有什麼好值得那個我跟委員報告就是所提到的1.5比1的部分他會把天花板打開就是他退休時候領的月退的部分會更高啦 |
transcript.whisperx[284].start |
7930.036 |
transcript.whisperx[284].end |
7943.369 |
transcript.whisperx[284].text |
那委員一直關心就是說怎麼樣...他是根據我們的定存的嘛定存的利率嘛 是不是不過您所提的版本是1.5的部分是他繳100塊 政府撥150 |
transcript.whisperx[285].start |
7946.071 |
transcript.whisperx[285].end |
7970.279 |
transcript.whisperx[285].text |
又多了150給放在這個儲金多了50塊所以到30年以後它累積的月退會更高但是我知道委員的想法就是要支持我們的農民去加入減輕農民負擔所以我們用另外一個思維就是我們同樣是100塊對100塊現在就是說有沒有可能政府多出一點然後農民負擔少一點 |
transcript.whisperx[286].start |
7970.999 |
transcript.whisperx[286].end |
7994.61 |
transcript.whisperx[286].text |
那這樣的話他的天花板沒打開200塊沒有變成250的時候那跟其他的勞保的這些年金比起來就不會差太多那你有試算過嗎試算過怎麼樣子對政府的縱效是比較好的啊是不是你要對於政府整體的縱效這個我提出的提高1就是說我們提高的相關的1.5的比率 |
transcript.whisperx[287].start |
7996.531 |
transcript.whisperx[287].end |
8014.443 |
transcript.whisperx[287].text |
對政府來講也是放在共同的基金運用裡面啊是不是那對於我們這樣子整體的運作來講也沒有什麼有損失的部分嗎我跟你講喔它所增加的金額15億其實不是很巨大 |
transcript.whisperx[288].start |
8015.123 |
transcript.whisperx[288].end |
8030.218 |
transcript.whisperx[288].text |
但是考量到就是說他30年後退休以後他所領的跟勞工朋友所領的你今天都沒有一個試算的比例嗎你只有增加你只是把它兩個加起來其實農民有時候根本也領不到這個相關的兩個加起來的 |
transcript.whisperx[289].start |
8032.56 |
transcript.whisperx[289].end |
8049.577 |
transcript.whisperx[289].text |
沒有你如果持續從事農業的話你那種農年金一定可以領然後同時你的農民退休儲金可以領然後加起來是大概是四萬五千多如果一點五的話那勞工朋友才領三萬三啊那現在的情勢是我們領三萬八可是你要知道他們兩個的所 |
transcript.whisperx[290].start |
8050.558 |
transcript.whisperx[290].end |
8069.106 |
transcript.whisperx[290].text |
他們兩個的那個條件是不一樣的農民退休儲金跟勞保的那個退休金那是不一樣的喔是不是又跟公保跟那個公務人員的退休金是不一樣的計算方式喔我們有更好勞保的退休儲金是雇主 |
transcript.whisperx[291].start |
8070.046 |
transcript.whisperx[291].end |
8093.073 |
transcript.whisperx[291].text |
提撥最高百分之六那我們現在的制度是政府幫你提撥百分之十最高百分之十所以已經比勞保更好了所以我希望說未來是朝向怎樣也符合委員的期待就是我們減輕農民的負擔他獲得一樣的保障那那個保障在30年後試算的時候也比勞工朋友好一些這是我們的目標 |
transcript.whisperx[292].start |
8094.44 |
transcript.whisperx[292].end |
8115.727 |
transcript.whisperx[292].text |
所以你的意思是說你不支持這樣子你要提出其他的是不是那你提出其他的說預算是一樣還是怎樣我想委員提的我們一定尊重而且也是選擇的方案之一然後我們會把不同的方案去做更詳細的評估然後再看看說哪一個方案是 |
transcript.whisperx[293].start |
8116.607 |
transcript.whisperx[293].end |
8130.846 |
transcript.whisperx[293].text |
包括對我們的農民朋友是最有利的那以我們現在的了解農民朋友是希望減少他的每個月的負擔啊減少每個月的負擔就是說保障一樣但是政府出多一點 |
transcript.whisperx[294].start |
8132.232 |
transcript.whisperx[294].end |
8159.257 |
transcript.whisperx[294].text |
他們出少一點我是可以同意說我們可以把不同的條件拿出來比較但是我覺得說以目前這樣子的方式因為我們當初在委員會有提出討論的時候我們就有說到其實我們就應該要隔年度就是說來再討論這個比例以及就是說怎麼樣子能夠增加農民的加保的加保率 |
transcript.whisperx[295].start |
8159.957 |
transcript.whisperx[295].end |
8186.885 |
transcript.whisperx[295].text |
那未來怎麼樣子來提高農民的加保率以及怎麼樣子來增加我們就是農業的從業人員或者對不對這個都是我們當初希望討論的方向也是我們努力的目標就是特別委員一直關心包括上個會議你也關心的就是覆蓋率的問題有一些農民他現在沒有辦法參加農民職業災農民的退休儲金有沒有辦法 |
transcript.whisperx[296].start |
8187.785 |
transcript.whisperx[296].end |
8206.356 |
transcript.whisperx[296].text |
替他們解決一些問題把他納進來包括有一些有沒有曾經操控要過勞保的嘛所以這個部分我們都同步在研議包括您所提的方案還有郭文委員所提的方案還有我們想到的方案還有一些可以讓更多人加入的這些方案都納進來以後這樣的話來討論會比較什麼時候 |
transcript.whisperx[297].start |
8210.879 |
transcript.whisperx[297].end |
8227.591 |
transcript.whisperx[297].text |
你什麼時候可以提出我想我們會在最近一個月之內應該就有一個因為我們也延期的差不多了那有個重點就是說我們的方案也要經過行政院來了解跟同意所以目前你們的方案是沒有經過行政院就對了 |
transcript.whisperx[298].start |
8227.991 |
transcript.whisperx[298].end |
8255.036 |
transcript.whisperx[298].text |
對 我們沒有經過行政院最後的方案是沒辦法確定的包括現在的老農津貼行政院也說因為八大基金要橫平性但是我們會去爭取農業可不可以先行這個部分我們包括農民的退休儲金的部分的一些調整的機制那也要行政院這邊能夠得到支持因為有得到行政院支持才有經費啦好 那希望你敬述好不好好 謝謝 |
transcript.whisperx[299].start |
8258.037 |
transcript.whisperx[299].end |
8271.525 |
transcript.whisperx[299].text |
好 謝謝我們也希望部長的問題通通都知道速度要加快要不然我們都是只有在講問題都沒有講解決方案加油好 謝謝現在請陳超明委員做詢問 |
transcript.whisperx[300].start |
8285.331 |
transcript.whisperx[300].end |
8310.36 |
transcript.whisperx[300].text |
陳昌明問人 尋答結束 休息五分鐘首先有請陳部長陳部長部長 我就要轉卡雖然我是在野黨 |
transcript.whisperx[301].start |
8311.823 |
transcript.whisperx[301].end |
8327.425 |
transcript.whisperx[301].text |
但是我都在推銷你們的三保義軍三保 農民健康保險 農民災害保險 農業保險現在再來就是農民退休資金的保險 |
transcript.whisperx[302].start |
8329.295 |
transcript.whisperx[302].end |
8352.284 |
transcript.whisperx[302].text |
但是我想這個問題,會在上個會期跟你們爭吵了很久都沒有動好像給農民多一點,會掛你們的肉,會掛國家的骨頭,還是什麼樣將來,下個會期是預算的審查三次公諒,立法院做了決議你們的不遵照執行,沒有關係 |
transcript.whisperx[303].start |
8353.869 |
transcript.whisperx[303].end |
8380.42 |
transcript.whisperx[303].text |
第二個 我跟委員報告喔 那個1月3日方案來的喔 在苗栗喔這也都會很高興耶 我們的方案喔 他們真的覺得不錯耶我不是要說高興就帶 但是我下去的時候 大家說我講了20幾年都沒有表情啊你做什麼立法委員 說你來吃冰凍喔你去掛下去 農會幫你洗奶 幫你剝茄 你就開心但是我周一的情形跟你不一樣嘛 |
transcript.whisperx[304].start |
8380.7 |
transcript.whisperx[304].end |
8401.574 |
transcript.whisperx[304].text |
不是,我跟議員報告,我們看現在的產地價,比去年現在從屏東開始開的都是快到一千一毫每百台幣,過去都差不多九百幾而已,所以現在的產地價已經拉了快一百塊。實在說啊,農民很可憐的啦,他有時候去工廠打工來做這些啦。我們也很辛苦,我們一定會去照顧。我現在跟你說,不然我們來打賭一下。 |
transcript.whisperx[305].start |
8403.036 |
transcript.whisperx[305].end |
8404.938 |
transcript.whisperx[305].text |
我怎麼可以聽到你們立法院的決議我不執行 |
transcript.whisperx[306].start |
8419.497 |
transcript.whisperx[306].end |
8423.341 |
transcript.whisperx[306].text |
你這樣講誤會我你誤會我我不會誤問你我不會說在野黨提的我就不尊重我一定從專業的角度你講官話越來越選我一定從專業你都很誠實現在都會隨時再反應來 我跟你打賭一下 |
transcript.whisperx[307].start |
8442.974 |
transcript.whisperx[307].end |
8456.307 |
transcript.whisperx[307].text |
下一個會期是預算明年是選舉年第一天你會碰到的問題工糧收購的問題絕對會遇到大家為了選票會給你開支票現在我給你一個information消息 |
transcript.whisperx[308].start |
8460.128 |
transcript.whisperx[308].end |
8482.434 |
transcript.whisperx[308].text |
台南市在市長的辭陷就把農民偶爾爭取權益列為第一個所以供糧收購你要去面對啦現在我們沒有關係啦反正決議也不做我們也講你們這樣對台灣自己國內的家暴你們都不執行偶爾我們來跨跨跨跨大家再來比一次第二個 |
transcript.whisperx[309].start |
8483.76 |
transcript.whisperx[309].end |
8510.48 |
transcript.whisperx[309].text |
老農今天勢必大家提起來現在八千塊如果提到一萬塊、一萬兩千塊你會知道政敵的人全都選票這些人都會把你踢出來到時候你要不要去面對這對台南發動的總統的故鄉市長候選人提出來就在逼狗這是第一的問題你要遇到 |
transcript.whisperx[310].start |
8513.313 |
transcript.whisperx[310].end |
8514.937 |
transcript.whisperx[310].text |
那裡的流浪潛艇在那裡, |
transcript.whisperx[311].start |
8522.266 |
transcript.whisperx[311].end |
8541.946 |
transcript.whisperx[311].text |
排戶條款,排戶條款說幾個年怎麼會說幾個變,現在通貨膨脹,一公尺大概一百萬,這幾年條款兩百萬、三百萬、五百萬,變成一千萬,比比皆是,那些勞動津貼,很多都要被取消掉。 |
transcript.whisperx[312].start |
8543.158 |
transcript.whisperx[312].end |
8563.026 |
transcript.whisperx[312].text |
我不是我也要做事啊不是我的財政是自然增加你也要去調整不然碰到這樣的問題很多你們要改變嗎我剛才說的排布條款的部分從工業部來支持所以我們有提配套的組織我不曉得你的肩膀有多用膝蓋有 |
transcript.whisperx[313].start |
8564.026 |
transcript.whisperx[313].end |
8574.319 |
transcript.whisperx[313].text |
我已經送到行政院去了我跟妳講今年預算大家開始吵了把疫情都全部翻出來因為你們當時都沒有做 |
transcript.whisperx[314].start |
8575.959 |
transcript.whisperx[314].end |
8598.351 |
transcript.whisperx[314].text |
我是跟你講啦因為我是愛護你希望你繼續留部長我先把問題告訴你喔讓你有準備喔不然你會被修理得東倒西歪喔我先跟你講所以你那麼照顧馬雲綠我一定要替你想那今天是談到我們農民的退休措施我聽你講譬如我假設 |
transcript.whisperx[315].start |
8600.389 |
transcript.whisperx[315].end |
8613.6 |
transcript.whisperx[315].text |
我們基本工資如果是三萬塊一%是三百塊政府也是三百塊你現在意思是10%就三千塊政府是三千塊你意思是說如果剛剛兩千塊政府來分成四千塊這樣 |
transcript.whisperx[316].start |
8623.479 |
transcript.whisperx[316].end |
8651.516 |
transcript.whisperx[316].text |
對不對 多了你減低農民的那個我還知道聽你說什麼我是這樣子齁 就是說我有一百塊去省啦農民搞一百本來政府也搞一百 兩百塊嘛那我們現在要減輕農民的負擔農民搞八十 你搞八十這樣類似這樣的比例 比例還要再精算一下你就是農民的時候是不能比勞工多我問你思維要改變要是我做補償 現在缺農很多人不去種田 |
transcript.whisperx[317].start |
8652.728 |
transcript.whisperx[317].end |
8674.021 |
transcript.whisperx[317].text |
不要緊 我把他拿過來你說只差到20 讓臺灣農民覺得算你用這個觀念去想 大家在跟我說負擔多 他們都沒有想到未來我覺得要提高給他們沒有 委員我都認同 就是我們希望農民的照顧更到位 |
transcript.whisperx[318].start |
8674.241 |
transcript.whisperx[318].end |
8689.619 |
transcript.whisperx[318].text |
你退休金管大家都要來作信嘛不然現在年輕人怎麼作信青龍也是越來越臭的啊那我是這樣子講你說1.2政府交1.8如果我們老龍的退休金贏過 |
transcript.whisperx[319].start |
8691.499 |
transcript.whisperx[319].end |
8712.096 |
transcript.whisperx[319].text |
那個勞工的退休金大家來從農 大家來遮農藥我們政治農業就會好好發展你怎麼不去吸引民眾觀念改變啦 我知道啦你們就是不行 因為勞工的人士比農民的人士還多啦我只對農民負責齁我提出那個分析齁 |
transcript.whisperx[320].start |
8713.217 |
transcript.whisperx[320].end |
8741.895 |
transcript.whisperx[320].text |
要找到一些可能未來會被挑戰的一些數據然後我們從這個數據裡面去找到一個因應之道我不是拿這個數據說我不同意我覺得我不是拿這個數據說我不同意喔因為那時有跟你們在講跟你們講好我們試做就1比1啊現在你的覆蓋率又不足表示不夠吸引力我就都把你找出來你們的試算表我都出來了 |
transcript.whisperx[321].start |
8743.397 |
transcript.whisperx[321].end |
8751.392 |
transcript.whisperx[321].text |
我都幫你找出來 我會去那裡說 好吧起步的話 要有開始才有未來所以我現在建議你變成 |
transcript.whisperx[322].start |
8754.099 |
transcript.whisperx[322].end |
8772.705 |
transcript.whisperx[322].text |
農民1.2,政府1.8,好,我大家不要來做農民啊,你也不用煩惱崔工,煩惱越做越好,觀念改變,農民不是弱勢團體,你要提升農民的位置,這一點你好好做,我相信會提升農民的位階,愛這些人,有人要帶, |
transcript.whisperx[323].start |
8775.126 |
transcript.whisperx[323].end |
8803.747 |
transcript.whisperx[323].text |
退休免煩惱我也想報告就是委員現在兩個兩個版本我們也會尊重也會去分析然後我們有一些想法剛才也跟委員做了溝通也會把他看看哪一個更好還有其他的必須要去協助讓他加入的我們會有一個完整的分析但是我現在做了還沒有一個習慣那個勞農津貼可能你面對的要提升我告訴你生意是夠了我太了解了 |
transcript.whisperx[324].start |
8804.688 |
transcript.whisperx[324].end |
8821.098 |
transcript.whisperx[324].text |
第一 排污的條款通貨膨脹 物價上升 臨時台北的漆黑貴重我們整個要稍微伸展一下 某些條規500萬 這就都要調升這個排污條款 還有工作地價是自然形成的 |
transcript.whisperx[325].start |
8823.167 |
transcript.whisperx[325].end |
8843.969 |
transcript.whisperx[325].text |
這個農保都沒有,這樣不行還有如果配合國家中大政策的時候也要去考慮不然我們要好好研究一下不是死板板的有時候很多你們可以用法律權盡命令來跟說配合國家中大建設他們要負責勞保交錢給你們嘛你們如果不去想這樣 |
transcript.whisperx[326].start |
8846.042 |
transcript.whisperx[326].end |
8856.33 |
transcript.whisperx[326].text |
什麼國家政策 農民的去到產業裡面的光電怎麼會看到那麼漂亮的農地啊 要說下去已經過了我們不承認自己的統一 不檢討自己我告訴你 討論可以 條件可以說的好不好 不能說農民說的我沒辦法 |
transcript.whisperx[327].start |
8867.639 |
transcript.whisperx[327].end |
8880.141 |
transcript.whisperx[327].text |
你如果要農地種田的話叫他們負責農保全部要去強制在裡面這樣你就蓋掛在那裡困難有很多方式可以解決啊 |
transcript.whisperx[328].start |
8881.755 |
transcript.whisperx[328].end |
8906.105 |
transcript.whisperx[328].text |
生意人創意是什麼條件怎麼樣兩方面互利最好你只想到這個一點沒有改革好不好我會再向委員請教啦不要不要不要 我不敢你給我在管理 給我多多補治 給我多多講我建議多多那個 給我完成我就行兩份物流 拜託還有農後漁港 你講的啊我是紳士 紳士啊 這要給我幫忙 |
transcript.whisperx[329].start |
8908.646 |
transcript.whisperx[329].end |
8925.795 |
transcript.whisperx[329].text |
這幾十年的免疫代表我把這樣兩件完成啊我可以功成身退 好不好拜託一下謝謝 我不得自己愛情你更不敢說話我們有提供規劃會等規劃出來以後我們再來規劃我有都有都在準備了好 謝謝你啊 拜託了好 謝謝 休息五分鐘 |
transcript.whisperx[330].start |
9272.374 |
transcript.whisperx[330].end |
9274.976 |
transcript.whisperx[330].text |
好 現在請賴銳榮委員做詢答 |
transcript.whisperx[331].start |
9280.08 |
transcript.whisperx[331].end |
9280.564 |
transcript.whisperx[331].text |
好 謝謝昭緯 請陳部長陳部長 |
transcript.whisperx[332].start |
9289.295 |
transcript.whisperx[332].end |
9317.467 |
transcript.whisperx[332].text |
市長我想這個大家今天提的主要也都希望給農民退休儲金有更好的一些待遇然後也給這個農民更多的支持大方向上我想大家都是朝這個方向在努力那但是我也看到了大概初步的一些規劃上也有考慮到包括農民跟勞工之間的恆平性上的問題然後我其實我也鼓勵未來應該更多都朝向給予他們更多支持的方向就農民勞工其實都是比較辛苦的都應該給予更多支持那 |
transcript.whisperx[333].start |
9317.947 |
transcript.whisperx[333].end |
9336.216 |
transcript.whisperx[333].text |
在這樣的狀況下的話這個部長這邊那未來會朝向是政府多一點點支持嗎補貼的方式嗎多一點我跟委員報告就是從我們實際上再去了解就是農民催促儲金農民朋友在考慮的特別是青農朋友在考慮的第一個是他們的儲蓄習慣 |
transcript.whisperx[334].start |
9337.576 |
transcript.whisperx[334].end |
9361.65 |
transcript.whisperx[334].text |
對那他們第二個是他們的除夕的這些相關的能力啦那能力的部分因為特別在青農的部分他們才剛進入從事農業可能10年以下他們對到65歲還有很長的一段時間他們覺得說不確定性蠻高的所以他們期待的是能夠降低他們的負擔那所以 |
transcript.whisperx[335].start |
9362.39 |
transcript.whisperx[335].end |
9367.175 |
transcript.whisperx[335].text |
委員雖然提的我們也尊重而且我們也會演繹他現在是我舉個例子100對100現在是100對100那未來是100對150嘛 |
transcript.whisperx[336].start |
9371.946 |
transcript.whisperx[336].end |
9392.311 |
transcript.whisperx[336].text |
對於還沒有加入的人就部長的建議反倒是降低現在農民的負擔對 這樣的話意願會比較提高對 就未來的變化還很多但是降低他們的負擔政府多協助 多提撥一點然後農民提撥少一點但是總額其實是沒有改變那這樣對他們實際上的幫助會來更大會朝這個方向對 會朝這個方向因為剛好 |
transcript.whisperx[337].start |
9394.231 |
transcript.whisperx[337].end |
9408.548 |
transcript.whisperx[337].text |
當年在勞工退休金的時候剛好我那時候我也在勞委會服務所以剛好我參與到其中我也認為其實是一個很好的制度甚至很多還會自己加碼提多所以我覺得這個制度面其實是一個好的制度面那我也希望未來如果朝廷部長這樣的方向的話 |
transcript.whisperx[338].start |
9409.328 |
transcript.whisperx[338].end |
9429.851 |
transcript.whisperx[338].text |
就是我們在給政府多提一點然後給農民少提一點的話那希望在未來的部分給予讓他們有更多的一些支持一方面他們資金的調度會比較好一點一方面也給予他們更多未來退休生活後的保障我覺得這是一個好的方向啦那也請部長盡快把這個方案提出來好不好好會這個預定什麼時候可以提出來 |
transcript.whisperx[339].start |
9430.311 |
transcript.whisperx[339].end |
9442.205 |
transcript.whisperx[339].text |
我想我們大概的方案除了委員的版本我們會去分析以外那我們剛才提的這些概念還有一個非常重要也是委員您也在關心的就是有一些過去曾經是從事勞工的對 |
transcript.whisperx[340].start |
9445.128 |
transcript.whisperx[340].end |
9469.478 |
transcript.whisperx[340].text |
他為了不放棄他的勞保的方式然後但是他又持續從事農業那這個部分是沒有辦法獲得保障的我們也希望說這個部分能夠用什麼樣的機制讓他們也能夠加入農民退休儲金就讓他能夠銜接進來能夠整個來支持能夠變成類似雙軌的概念我覺得這個都是好的方向我們會整體的提出來以後就整體來思考一下因為 |
transcript.whisperx[341].start |
9470.998 |
transcript.whisperx[341].end |
9487.583 |
transcript.whisperx[341].text |
農民跟勞工都是相對上比較辛苦的比較那個那如果給予他們多一點支持我想這個大家都是有共識的啦那如果怎麼樣他們有些過去他們的思考點在轉軌的過程怎麼去轉得更順一點給他們更多的支持好不好這個請部長再多費心那一定什麼時候可以提出來 |
transcript.whisperx[342].start |
9488.984 |
transcript.whisperx[342].end |
9505.196 |
transcript.whisperx[342].text |
我們的方案大概已經分析的跟研擬的差不多了第一個我們先要跟行政院做報告因為所有的資金所以下個會期進到立法院來應該是可以如果說我們的方案獲得行政院同意的話下個會期就會進來 |
transcript.whisperx[343].start |
9506.237 |
transcript.whisperx[343].end |
9534.447 |
transcript.whisperx[343].text |
就下一位進來我們希望下一期進數來完成我們現在第一個第一階段就是要獲得行政院的支持跟同意對 因為行政院會有恆平上的整體的考量對 它又有跟農民勞工跟其他的所有的事情恆平上的考量它應該會有一次性的思考是好那我們期待下個會期來進數來通過那再來我先請教一下我看到部長也有在談論到農業金庫這個農業金庫有將近一兆的一個金額那大家也都很擔憂 |
transcript.whisperx[344].start |
9535.287 |
transcript.whisperx[344].end |
9550.464 |
transcript.whisperx[344].text |
部長我們現在能不能完全的掌控好這樣的一個農業金庫的運作我相信農業金庫第一個農業金庫現在的經營我們用專業經理人像現在的董事長就是專業的一個經理人所以我們希望說農業金庫它是 |
transcript.whisperx[345].start |
9552.366 |
transcript.whisperx[345].end |
9574.732 |
transcript.whisperx[345].text |
協助我們農業的各項資金金融的支持還有對於我們的農會的信用部的一些監管的部分我們會更落實那這個這樣的一個過程中我們都希望有更好的措施所以在經驗農業部能不能精準的去掌握住農業經貨我知道很多人大概都想要掌握到農業經貨中我們現在是 |
transcript.whisperx[346].start |
9576.752 |
transcript.whisperx[346].end |
9602.493 |
transcript.whisperx[346].text |
我們的公股包括我們的獨立董事我們是能夠具有主導權現在主導權幾席我們總共主導權應該有5席的獨董加6席的公股是11席所以15席裡面有11席是可以那個那我還是要請部長還是要因為這集到整個國家的整體的對農民的權益跟整體我覺得這個事情還是要由政府來主導 |
transcript.whisperx[347].start |
9603.093 |
transcript.whisperx[347].end |
9629.329 |
transcript.whisperx[347].text |
這個才會讓大家信任但是我們主導過程中我們也會讓農會來參與所以15席裡面總共有9席是農漁會的代表就是農漁會也能夠充分的表達那個意見所以我們希望說在這個政股主導的過程中也能夠讓農會來參與這個提供意見大家都沒有問題我講的是主導權因為畢竟它關股的這個還是有相當重要的那現在有很多提到說持股1%以上就能夠來 |
transcript.whisperx[348].start |
9630.791 |
transcript.whisperx[348].end |
9647.487 |
transcript.whisperx[348].text |
獲得提名權 這個部長支持這樣的方案嗎我們基本上不希望用這樣的方式喔最主要就是說當你有一趴的時候那相對的因為大概很多農會組成的嘛他就可以提一些董事那你也知道農會有定期的選舉那選舉裡面也有一些分導嘛 |
transcript.whisperx[349].start |
9648.368 |
transcript.whisperx[349].end |
9668.404 |
transcript.whisperx[349].text |
那很容易被有心人做操控那如果說操控成功的話我們的經營權就會轉移到這些農會而且是特定的這些組織裡面去的時候那相對的對國家來講是一個災難因為部長我們沒看過太多民間的企業怎麼樣被禿鷹給襲擊然後導致失去了主導權然後導致那個 |
transcript.whisperx[350].start |
9669.925 |
transcript.whisperx[350].end |
9686.251 |
transcript.whisperx[350].text |
這個農業金庫是國家很重要的一個然後我希望這塊還是要部長要緊守住由國家主導這個方向因為國家一定是國家的利益農民的利益為最大那但是如果是各個農會或者地方派系那就不一定了他的思考點就不見得是如此 |
transcript.whisperx[351].start |
9686.511 |
transcript.whisperx[351].end |
9701.477 |
transcript.whisperx[351].text |
我覺得這個部分一定要嚴格的把關好不好 慶紅部長要嚴守住這樣一個底線那再來我請教一下日本最近缺米那台灣的米 銷往日本其實是一個很好的機會那今年的一到四月已經有五萬五千多 五千多 對 |
transcript.whisperx[352].start |
9702.997 |
transcript.whisperx[352].end |
9726.06 |
transcript.whisperx[352].text |
對那這樣看這樣比例有可能今年有機會突破到1.5萬噸有機會嗎我們的初步的預估至少可以到1萬噸至少到1萬噸應該是一個低標吧我就看1到4月都已經一半了對就是我們的低標是1萬噸那同時我們也在觀察現在日本有一些所謂的他們的類似我們公糧的廚米有釋出但是不影響我們的輸出因為我們是高價 |
transcript.whisperx[353].start |
9729.062 |
transcript.whisperx[353].end |
9751.058 |
transcript.whisperx[353].text |
1.5萬噸的這個還是要更積極一點的目標啦因為我覺得一方面是日本缺米正是我們機會打進日本是我們的好機會那另外一方面是日本跟台灣過去來長期來這樣的關係其實是而且我們的米的品質也越來越好那加上我們的米的量其實是足夠的那如果我們把我們的優質好的米能夠輸入到日本趁這一次機會坦白講一般如果他不缺米你也沒有機會打進去啦 |
transcript.whisperx[354].start |
9751.578 |
transcript.whisperx[354].end |
9766.501 |
transcript.whisperx[354].text |
缺米那這時候應該大力的打進去讓台灣的米能夠外銷到日本去那如果形成他們很認可台灣的米也習慣的時候對台灣的稻米也是一個很好的一個良心我跟委員報告齁我們不只是說他缺米才打進去我們希望說我們打進去以後是可以持續的 |
transcript.whisperx[355].start |
9767.182 |
transcript.whisperx[355].end |
9783.208 |
transcript.whisperx[355].text |
這一定要留下來這個留下來而且是我們現在跟很多日本大的通路商在合作那通路商走高端的品牌的時候就可以做市場區隔讓我們的稻米持續的外銷我希望是我們很多優質的稻米能夠打進去因為日本的稻米非常的好啦 |
transcript.whisperx[356].start |
9783.448 |
transcript.whisperx[356].end |
9807.09 |
transcript.whisperx[356].text |
大家很多人還在日本很喜歡吃日本的稻米但是我希望趁這個機會把台灣優質的稻米打進日本市場而且是長遠的但我講的只是說因為是缺米現在才有這個機會如果不缺米我們也不好打但是因為缺米的時候它需求量大的時候反倒我們應該趁這個時候把區隔做出來跟其他國家的區隔做出來然後打進去日本市場那這個對於台灣的稻米市場的會有很大的幫助啦對我們朝這個1.5萬噸來努力 |
transcript.whisperx[357].start |
9808.191 |
transcript.whisperx[357].end |
9823.384 |
transcript.whisperx[357].text |
我覺得一萬噸太低標了這幾乎不用隨什麼理應應該要設定高一點的目標才能夠去達成那一萬噸照現在的努力方向應該也都可以達成好不好謝謝那最後請教一個我們漁船的收購部分這個沒有問題吧 |
transcript.whisperx[358].start |
9824.265 |
transcript.whisperx[358].end |
9832.287 |
transcript.whisperx[358].text |
這個我想 基本上我們內部都已經處理了 現在在抱怨嘛在抱怨的部分 然後我們也會跟行政院做一個很好的溝通所以會延長到116年 82艘總經費達到28億18.49億28.4928.49億 對對對 28.49億 對所以會這樣子啦 |
transcript.whisperx[359].start |
9846.03 |
transcript.whisperx[359].end |
9851.939 |
transcript.whisperx[359].text |
朝這個方向來前進我們您抱怨然後我們會跟行政院做好那請再跟院長來爭取我也會跟院長來拜託啦這個對於整個產業的提升競爭是有幫助的對好謝謝好謝謝現在請邱志偉委員做詢答 |
transcript.whisperx[360].start |
9874.014 |
transcript.whisperx[360].end |
9879.657 |
transcript.whisperx[360].text |
謝謝主席 小寶寶上台我請農業部陳部長部長辛苦了第一個問題請教你就是說我們福島五縣市的食品包括農產品包括水產品都已經解禁 是去年解禁 |
transcript.whisperx[361].start |
9899.608 |
transcript.whisperx[361].end |
9925.745 |
transcript.whisperx[361].text |
那這個他們農漁產品特別是福島五縣市進口到台灣目前的狀況如何我們有沒有還有相關的管制現在是等於說符合我們的相關規定都可以但實際的數量我現在沒有 手邊沒有資訊我會後再提供給委員福島五縣市的部分對 已經解禁了就應該沒有任何的縣市讓他們福島五縣市代表說安全無與沒有問題 |
transcript.whisperx[362].start |
9927.006 |
transcript.whisperx[362].end |
9945.415 |
transcript.whisperx[362].text |
那過去中國是這個日本漁產品最大的出口國是那台灣在這個所謂五島五線式這個食品管制之前日本這個漁產品這個出口到台灣的狀況怎麼樣我這個是不是可以請那個副助長日本 |
transcript.whisperx[363].start |
9947.045 |
transcript.whisperx[363].end |
9964.742 |
transcript.whisperx[363].text |
沒有 包包委員這邊沒有把數字寄出沒關係 會後再提供給我那當然我們的漁產品也有日本需要這個比較喜歡的品項比如說石斑魚他們都接受度蠻高那我們可以這個雙向來做更多的這個漁業農業的合作 |
transcript.whisperx[364].start |
9968.725 |
transcript.whisperx[364].end |
9992.202 |
transcript.whisperx[364].text |
我最近去拜訪日本國會跟幾個日本國會議員討論我去主要是針對台灣的CPTPP要請日本多加支持因為今年澳洲當了日主席國這是一個非常最重要關鍵的時刻日本扮演非常重要的角色日本全力支持不然其他的國家 |
transcript.whisperx[365].start |
9993.39 |
transcript.whisperx[365].end |
10019.912 |
transcript.whisperx[365].text |
大概也不敢太多的發言對我們會有幫助啦對如果他全力支持有全力支持跟這個意識性支持完全不一樣那當然他們是全力支持但是他們還是有一些抱怨就是說當初無線式這個食品管制台灣跟日本那麼友好但是我們卻對他們這個無線式食品管制我說那是因為公投 |
transcript.whisperx[366].start |
10020.993 |
transcript.whisperx[366].end |
10043.133 |
transcript.whisperx[366].text |
因為有公投所以必須要有這個限制那我們也希望說基於相信科學所以我這部分先事後了解說從去年檢驗之後服務到我現在這個農漁產品輸入台灣目前的狀況怎麼樣我們會來統計然後再提供個委員有沒有可能加強採購呢有沒有可能加強採購我想我們現在 |
transcript.whisperx[367].start |
10046.036 |
transcript.whisperx[367].end |
10074.506 |
transcript.whisperx[367].text |
包括我們這幾年來其實我們就這樣石斑就好石斑其實有太多的日本通路商開始在洽群希望說能夠增加這個採購然後今年七月中旬大阪的這些食品展我想我們農業部也會組團再去針對重要的農產品做一個行銷雙邊是互惠的如果我們也跟他們多一點進口買一些然後他們也幫我們買一些他們對我們這個石斑他們也可以更多接受度 |
transcript.whisperx[368].start |
10075.566 |
transcript.whisperx[368].end |
10094.711 |
transcript.whisperx[368].text |
好今天討論這個主題很重要那三保一金當然是對農民最最重要的照顧那我覺得照顧還是不夠那如果按照這個郭國文委員的版本就是從1倍到1.5倍整體預算評估大概增加 |
transcript.whisperx[369].start |
10099.784 |
transcript.whisperx[369].end |
10113.649 |
transcript.whisperx[369].text |
15.5億你是用9萬人口還是用20萬人口因為你現在覆蓋率是49%嘛對不對你的覆蓋率49%那你這個他自己提撥是1%到10%對不對那你這個15.5億是怎麼計算出來的我們15.5億是依現在的人數去儲穀因為 |
transcript.whisperx[370].start |
10121.811 |
transcript.whisperx[370].end |
10145.461 |
transcript.whisperx[370].text |
當你提高的時候是已經在提腳的你現在的出鍋是用49%對不對大概9萬多人口嘛那你如果符合資格應該是20萬左右嘛對22萬左右那你增加這個政府的這個提撥當然會增加誘因嘛所以人數一定會增加嘛我覺得是這樣15.5億啊甚至你到20億 |
transcript.whisperx[371].start |
10148.048 |
transcript.whisperx[371].end |
10175.266 |
transcript.whisperx[371].text |
30億是對農民的照顧那你我覺得沒有必要再去跟其他的職業族群去做比較你用這個勞保跟這個農保我們農民領取老黃金貼加農退儲金的金額跟這個勞工領取勞保老年給付跟勞工退休金的金額我覺得比較基礎不一樣你這個農民領取老黃金貼加農退儲金大概多少人 |
transcript.whisperx[372].start |
10178.047 |
transcript.whisperx[372].end |
10200.172 |
transcript.whisperx[372].text |
農民 農保是現在現在農保是85.3萬人但是65歲以下的是31.7萬你有資格到最後領取可以領取 實際上喔他農保就完全合格的22.3萬人不是 你最後呢可以領到農退儲金的最多就20萬22.3萬人 對所以並不是所有農民都可以領到這個這個每個月3萬8這種金額對不對是 |
transcript.whisperx[373].start |
10206.676 |
transcript.whisperx[373].end |
10225.354 |
transcript.whisperx[373].text |
是少數 大概不到四分之一實際從容的部分那勞工大部分都會領到三萬三左右嘛 對不對所以你不能用這個帳目這個比較的基礎說你如果提高到這個1.5倍所以這個倍數一定要提高至於說底倍 1倍1.2 |
transcript.whisperx[374].start |
10229.278 |
transcript.whisperx[374].end |
10240.25 |
transcript.whisperx[374].text |
1.5 1.7兩倍我們都可以去討論那我覺得以你1.5倍作為基礎來看這個金額是增加不多那對農民的這個覆蓋率或者說他意願會增加 |
transcript.whisperx[375].start |
10241.83 |
transcript.whisperx[375].end |
10263.235 |
transcript.whisperx[375].text |
我跟委員報告齁 我要先說明一下就是我們並沒有反對這樣的委員的提案那我們會做這樣的分析就是說我們要去向行政院申請經費的時候這個分析會有誤導啦並不是所有農民都可以同時領到勞農基金或農退儲金嘛大概只佔四分之一左右但是大部分的勞工是可以領取他勞退基金跟勞農給付嘛我說的沒有錯吧 |
transcript.whisperx[376].start |
10265.715 |
transcript.whisperx[376].end |
10280.295 |
transcript.whisperx[376].text |
你說你這樣會有點誤導說如果增加到1.5倍那可能跟勞工的差距會變得更大我還是強調一下我們做這樣的分析就是說我們要先找到一些差異性未來當做 |
transcript.whisperx[377].start |
10282.253 |
transcript.whisperx[377].end |
10303.034 |
transcript.whisperx[377].text |
跟行政院在做爭取的時候的一個論述所以因為行政院考量我剛才的論述是可以提供你去跟行政院爭取而且這金額才15.5億金額是不多以重大建設來講你也承認說不多再多的照顧都是應該的因為農民是相對弱勢他們老年之後 |
transcript.whisperx[378].start |
10304.499 |
transcript.whisperx[378].end |
10321.047 |
transcript.whisperx[378].text |
這生活的這個保障很重要對 育後養長當然越多越好你說你覆蓋力還不到五成 對不對你1.5倍 基本上增加你所謂的15.5億但一定會提高覆蓋率嘛是好 不然你要40 到 比方說到這個到23萬滿額的話 全部都有覆蓋的話 |
transcript.whisperx[379].start |
10326.229 |
transcript.whisperx[379].end |
10354.62 |
transcript.whisperx[379].text |
真的能夠兩筆都可以領到也大概只有三分之一左右我跟委員報告我們除了委員的版本以外我們會去做好好的規劃然後再加上我剛才提到的就是說怎麼樣減輕農民負擔在同樣的金額之下農民提繳的可以少繳一點政府再多繳一點保障一樣然後另外一個更重要就是還沒有加入的我們想辦法有困難的地方我們怎麼樣讓他加入這整個方案我們會做一個包裹來跟行政院報告 |
transcript.whisperx[380].start |
10355.814 |
transcript.whisperx[380].end |
10377.883 |
transcript.whisperx[380].text |
另外我第三個問題請教老榮今天的調整老榮今天調整的依據跟頻率當然相對於其他職業別比方說軍工教育月退跟勞保年金等等我們目前是四年調整一次對不對在那前一年的CPI對不對 |
transcript.whisperx[381].start |
10380.564 |
transcript.whisperx[381].end |
10405.929 |
transcript.whisperx[381].text |
但是為什麼不能比照比較優惠的這個軍工教育月退你CPI增長率達正負5%的時候調整或至少每四年檢討一次這個問題是不是可以往這個方向去思考呢我跟委員報告我們農業部的版本已經提到農業行電院去了包括CPI現在每四年調整一次的時候如果這四年中你的CPI超過一定比例的時候也可以啟動調整這是我們的 |
transcript.whisperx[382].start |
10407.569 |
transcript.whisperx[382].end |
10430.3 |
transcript.whisperx[382].text |
那另外排富的部分我們也將所謂的所得的部分從50萬也適度的提高他的財產從500萬有沒有也適度的提高還有自住所得房屋的部分也提高這個部分我想我們委員都有非常多的建議調整太過消極太過保守這個照顧也不夠你看從101年到114年這15年間從7000塊到8110塊對不對是 |
transcript.whisperx[383].start |
10435.803 |
transcript.whisperx[383].end |
10450.497 |
transcript.whisperx[383].text |
但你這個整體最低生活費是暴增了幾倍 暴增了1.5倍你從台灣省來看 台灣省五都之外從1萬塊到1萬5 增加1.5倍那你從7000塊搭8000塊是增加幾倍 很有限 |
transcript.whisperx[384].start |
10456.659 |
transcript.whisperx[384].end |
10475.001 |
transcript.whisperx[384].text |
所以你要應該以這樣做比較在你的方案上面能夠更好提出更好的方式來照顧老農老農今天能夠有更多的對老農有更多的照顧這個八千塊我覺得這十年才剩下一千多塊 |
transcript.whisperx[385].start |
10477.363 |
transcript.whisperx[385].end |
10500.511 |
transcript.whisperx[385].text |
這個對農民是沒有辦法交代會 我想委內意見我們也會再把它做一些納入我們現在已經針對CPI的調整時間包括排富的部分我們已經做了一些建議了那至於說它的那個調整跟它的生活所得的比例也要盡量要一致化這個部分我想我們也可以把它納入另外住宿代表處有沒有農業組的編制我們有 已經成立了農業組 |
transcript.whisperx[386].start |
10501.471 |
transcript.whisperx[386].end |
10529.476 |
transcript.whisperx[386].text |
去跟國會做一些說明他們很在乎啊我只要說提到CPTPP說我們支持但是你們之前這個輔導我先是時評他們覺得有點難過他們有點難過畢竟已經過去了你要把整個原委說明清楚我想我們把這個部分重新整理以後再去跟日本的國會透過農業組去做一個說明對 去做一個說明好 謝謝委員的提醒 |
transcript.whisperx[387].start |
10530.575 |
transcript.whisperx[387].end |
10545.531 |
transcript.whisperx[387].text |
好 謝謝現在請郭國文委員做詢答主席有請陳主委陳部長陳部長 |
transcript.whisperx[388].start |
10552.534 |
transcript.whisperx[388].end |
10579.294 |
transcript.whisperx[388].text |
部長好 剛剛那個邱志偉委員在提到說我們駐日的單位當中已經增加了農業族那主要是針對這個台灣跟日本之間漁業往來的部分他說人家石斑一讓我們過去那李當我們也讓他什麼什麼過來其實有一個考量就是我們之前目前一直在討論的就是那個河豚的問題就我知道應該略有進展那目前的進度怎麼樣有沒有可能今年開放 |
transcript.whisperx[389].start |
10579.761 |
transcript.whisperx[389].end |
10581.023 |
transcript.whisperx[389].text |
順利的話今年有沒有可能 |
transcript.whisperx[390].start |
10599.684 |
transcript.whisperx[390].end |
10628.291 |
transcript.whisperx[390].text |
這個部分要請教食藥署我們這邊沒有辦法幫食藥署做這你要關心一下啊我有這個部分喔我講過幾度啊河豚的部分其實我認為它只要是安全的就應該可以進來當然是安全那相對的就是說我們在雙邊在談的時候也希望說我們開了河豚以後也希望說它能夠更積極的有一些我們有在面對外銷的這個部分我們一定順便了解應該今年底是有機會啦是有力啦好不好我知道這個我了解 |
transcript.whisperx[391].start |
10629.231 |
transcript.whisperx[391].end |
10646.218 |
transcript.whisperx[391].text |
這樣也可以化解剛剛邱委員的疑慮那另外回到今天的主題我其實非常感謝我們經紀委會許許多多的同仁對這一個本席的提案的予以贊同那我提案的內容其實跟昭緯的內容是相似的那就內容的本身來說的話我必須提到 |
transcript.whisperx[392].start |
10646.778 |
transcript.whisperx[392].end |
10663.732 |
transcript.whisperx[392].text |
所以說提這個案子的原因是因為我們歷經了四年我們覆蓋率其實都是在30%以下來進行徘徊那就制度已經到了一個天花板一個瓶頸的情況底下我們應該思考如果把這個覆蓋率能夠打開所以本期的提案的用意是在這邊也因此希望說農民 |
transcript.whisperx[393].start |
10665.333 |
transcript.whisperx[393].end |
10692.087 |
transcript.whisperx[393].text |
在繳納這個以基本工資來計算的話繳納2859的時候呢相對政府提撥能不能提到1.5倍剛剛提到預算也是不過是增加15.5億而已嘛那這個強化這個安全跟韌性的部分這個是重要你看到覆蓋率的部分覆蓋率是總人口數的總投保人數的部分也不過是28.7另外一個數字從青龍的部分本來我們是照顧未來青龍希望從業人口增加 |
transcript.whisperx[394].start |
10693.047 |
transcript.whisperx[394].end |
10712.181 |
transcript.whisperx[394].text |
更低耶只有25%耶老實講我也是很訝異啦所以訝異的情況底下當然我們提出來的時候那個貴部有提出一些回應你說其實換算於勞保的時候到時候幾副金額是相差無幾從社會保險的角度來看是這樣子可是我要跟那個主委說明喔 |
transcript.whisperx[395].start |
10713.001 |
transcript.whisperx[395].end |
10732.68 |
transcript.whisperx[395].text |
就這個部分裡頭我們在這個投保年資的部分有將近9成都是在一個基本上都不可能用投保30年來計算的它可能中間在進來對中間進來或年齡其實根本不到嘛所以你用30的做一個計算跟比對其實就有它的問題點的存在 |
transcript.whisperx[396].start |
10734.461 |
transcript.whisperx[396].end |
10760.968 |
transcript.whisperx[396].text |
最高金額夯不啷噹也不過是一萬塊錢而已一萬塊錢而已一點然後你去看那個金額喔所有來投保有一個現象我只要投保了我就繳納10%有沒有都是最高的唯一對最高的對不對這個高達這個九成以上那也就是說經濟誘因是最關鍵的嘛經濟誘因最關鍵當中不外乎是兩種嘛一種就是我付出的比較少我拿到比較多嘛 |
transcript.whisperx[397].start |
10762.128 |
transcript.whisperx[397].end |
10774.196 |
transcript.whisperx[397].text |
這是最關鍵的啊所以說是不是制度上有可能朝向這種方向來進行本席的提案其實也不過是我繳納的金額跟政府提撥的金額的倍數比能夠增加 |
transcript.whisperx[398].start |
10775.506 |
transcript.whisperx[398].end |
10786.631 |
transcript.whisperx[398].text |
那這個方向有沒有可能部長我想第一個我絕對沒有否定說委員的提案不好我說委員的提案就是我用100塊農民繳100塊我們繳150我們提報150嘛對對這個最後整體的退休會比較多一點這是一個方案 |
transcript.whisperx[399].start |
10792.634 |
transcript.whisperx[399].end |
10814.429 |
transcript.whisperx[399].text |
那另外我們有想到就是如果同樣是一百的話他只要繳八十類似八十我們繳一百二那這樣的話也是減輕農民的負擔嘛這也是啊也許兩個案可以同時設計不一定說一定不是委員的版本就是我們的版本我所證部長你這種說法是有創意的啦其實基本上你只要把那個 |
transcript.whisperx[400].start |
10816.41 |
transcript.whisperx[400].end |
10832.262 |
transcript.whisperx[400].text |
那個這個繳納方跟提撥方的這個比例來做調整然後往多的方式上來做調整基本上我是覺得這一個覆蓋率的提升的可能性會就會增加是 所以我們會會去更精準的試算啦而且我們也安排了跟院長做報告那你大概什麼時候會送院 |
transcript.whisperx[401].start |
10833.202 |
transcript.whisperx[401].end |
10861.897 |
transcript.whisperx[401].text |
我想齁我們送院之前我們現在已經安排跟院長做專案報告對那就是你是說下禮拜嗎最近最近喔最近喔我私下的報告然後院會大概預計什麼時候會收然後跟他報告如果說出門上如果說院長同意這個方向的話我們就會把完整的方案報院報院大概什麼時候啊這個下個六月可不可以不是這個就是看院長聽取了以後的一個決定院長如果沒有意見應該六月就可以到行政院會了嗎報告了以後就會 |
transcript.whisperx[402].start |
10863.237 |
transcript.whisperx[402].end |
10877.204 |
transcript.whisperx[402].text |
各個單位然後下個會議就會送進來我希望六月啦好不好以六月為目標啦最後一個問題要問您的齁就是我之前一直關心台南的牛肉湯的問題齁它受到飼養成本增加喔你看到那個建五年的肉牛的飼養的場數從778場降為628場那飼養的這個數量從34000變成30000 |
transcript.whisperx[403].start |
10885.428 |
transcript.whisperx[403].end |
10909.131 |
transcript.whisperx[403].text |
變成三萬喔那這減少就是這主要原因當然是這一個關稅的問題吧紐西蘭部分還有未來美國如果牛乳開放的話同樣會遭到這種排擠那我們換算了一下呢現在的乳牛的這個飼養量有一部分的肉源是來自於乳牛淘汰乳牛四千淘汰四千兩百頭去年啊今年預計只剩下三千七啊 |
transcript.whisperx[404].start |
10909.811 |
transcript.whisperx[404].end |
10938.16 |
transcript.whisperx[404].text |
也就是說肉牛整體的部分減少然後淘汰跟著減少那未來可能還會再減少但是對肉的需求卻不斷的增加卻不斷的增加那以至於現在的這一個成本價已經逐漸攀升從150已經變成190畢竟200大關那這種庶民美食如果一旦變成一個鄉親美食的話那會影響到整個城市的發展跟那個遊客的來 |
transcript.whisperx[405].start |
10939.64 |
transcript.whisperx[405].end |
10969.04 |
transcript.whisperx[405].text |
萊克素啊部長我已經問了第三次了啦有沒有什麼好方法我跟委員做一個報告以現在的雖然說我們去年有一些淘汰寡產牛可是現在每一個月的進到屠宰場的數量是還算穩定啦還算穩定但是長久來看的話我們希望把乳牛的量控制在大概12萬頭左右然後整個的牛奶是控制在43萬噸左右在這個目標之下 |
transcript.whisperx[406].start |
10969.961 |
transcript.whisperx[406].end |
10976.075 |
transcript.whisperx[406].text |
禮物的部分可能降到某個程度不會再往下降所以我們希望說在這個部分然後增加國產 |
transcript.whisperx[407].start |
10978.63 |
transcript.whisperx[407].end |
10995.558 |
transcript.whisperx[407].text |
現在是現實上相關的數字都在降價格一直在攀升但是屠宰場每一天屠宰的量並沒有太多的變化所以這個部分我們也會跟消費地做溝通您把最近的調查報告給本席一份那你的趨勢發展也看一下 |
transcript.whisperx[408].start |
11001.141 |
transcript.whisperx[408].end |
11023.68 |
transcript.whisperx[408].text |
那個整個牛肉價格也不斷攀升 請你注意一下市場中端市場的價格已經往上攀升了啦從以前100變120 150都有了事實上我就在做一般的市場不用其實特意做民調 平常我們就生活在那個城市當中我們大家也很清楚啊價格是上升 但是投採量是穩定的部長 早時間下來吃牛肉湯啦我請你啦 你就知道了啦 好不好好 謝謝好 謝謝我們現在請陳廷飛委員做詢答 |
transcript.whisperx[409].start |
11046.912 |
transcript.whisperx[409].end |
11048.636 |
transcript.whisperx[409].text |
謝謝主席我們請部長陳部長喂好 |
transcript.whisperx[410].start |
11057.03 |
transcript.whisperx[410].end |
11085.149 |
transcript.whisperx[410].text |
部長我想在討論這個農民退休儲金條例之前我想我們還是要review一下就是說其實從蔡英文總統她一直大力推動的各項保障農民的政策其實從我們就是三保一金我們的健康保險還有農業保險還有植栽保險還有農民退休儲金三保一金 |
transcript.whisperx[411].start |
11085.889 |
transcript.whisperx[411].end |
11103.701 |
transcript.whisperx[411].text |
这是我们从过去农委会然后到农业部曾级种族委一直到陈巨基部长我们在努力的所以我觉得今天如果我们常在说哇我们要来修正农民退休处境好像那民间都没在做事情错了 |
transcript.whisperx[412].start |
11104.71 |
transcript.whisperx[412].end |
11128.622 |
transcript.whisperx[412].text |
我們這個三保一經我們努力很久我覺得我們應該把這個前提跟大家說也因為有我們當時候的1比1的補助所以才有今天大家在討論覆蓋率的問題要1比1.5所以我認為說我們都要把前提講清楚否則農民會忘記 |
transcript.whisperx[413].start |
11130.502 |
transcript.whisperx[413].end |
11154.844 |
transcript.whisperx[413].text |
會忘記所以其實我們這一次覆蓋率我們在討論覆蓋率覆蓋率不足不到五成所以大家認為說這應該是這個對比補貼的問題如果有更多的誘因可以讓我們的政府補貼升到1.5倍民眾的誘因會更高我們農民的誘因會更高所以才有這樣的一個討論的依據 |
transcript.whisperx[414].start |
11156.605 |
transcript.whisperx[414].end |
11175.331 |
transcript.whisperx[414].text |
所以我認為說其實我們努力那麼久從三保一經過去根本不可能過去根本不可能啦我們的健康保險然後再來農業保險然後再植栽保險過去我們的農民看到勞工他有植栽我們農民在大陸會卡 |
transcript.whisperx[415].start |
11184.014 |
transcript.whisperx[415].end |
11205.81 |
transcript.whisperx[415].text |
然後送醫都沒有辦法有所謂的植栽可是現在可以了然後還有我們有一些農作物現在只要保險在我們的農損的部分有相對應這個過去也沒有然後還有我們農民的健康保險所以其實我們一直在說的 |
transcript.whisperx[416].start |
11209.755 |
transcript.whisperx[416].end |
11212.427 |
transcript.whisperx[416].text |
我們希望農民更好因為農民很辛苦看天吃飯 |
transcript.whisperx[417].start |
11215.322 |
transcript.whisperx[417].end |
11241.549 |
transcript.whisperx[417].text |
我都不希望說農民為了我們這個土地做這些事情但是永遠被遺忘的一群可是在蔡英文政府上任之後一直到現在賴清德總統我相信我們沒有忘記這個區塊我們也一直在做只是我們的速度好像跟不上他們的期待那這個就問題來了 |
transcript.whisperx[418].start |
11244.434 |
transcript.whisperx[418].end |
11253.966 |
transcript.whisperx[418].text |
我們要怎麼做才能讓他們能夠符合他們的需求好我們現在來談農民退休儲金 |
transcript.whisperx[419].start |
11256.731 |
transcript.whisperx[419].end |
11274.409 |
transcript.whisperx[419].text |
1對1跟1對1比51.5這樣的部分就是說我們的政府補貼是1.5還是1相對補貼這個我們到底增加多少錢現在是15.5億增加15.5億就增加15.5億那15.5億我們預計可以增加多少覆蓋率 |
transcript.whisperx[420].start |
11279.363 |
transcript.whisperx[420].end |
11291.93 |
transcript.whisperx[420].text |
沒有 我們15.5億是現在已經在提繳的因為現在已經在提繳的 我們要對等增加嘛對 好 那現在15.5億 那如果我們增加到1.5倍 |
transcript.whisperx[421].start |
11293.632 |
transcript.whisperx[421].end |
11308.236 |
transcript.whisperx[421].text |
那增加多少可能再增加8億左右增加8億那預計增加8億會有多少增加的覆蓋率我們應該這麼講從老保65歲以下而且是合格的人如果都保的話是22.3萬人 |
transcript.whisperx[422].start |
11310.578 |
transcript.whisperx[422].end |
11322.474 |
transcript.whisperx[422].text |
那現在是將近10萬9萬多9萬2千多人是15億嘛所以如果22萬都保的時候那增加的就是大概將近35億左右所以 |
transcript.whisperx[423].start |
11324.588 |
transcript.whisperx[423].end |
11347.651 |
transcript.whisperx[423].text |
你認為如果說全部都保進來是要增加35億是用我們1.5這樣的一個對等要增加35億那你認為我們提高了1.5有可能全部都進來嗎應該不會不會那預計可以增加多少我們在退休除菁我們有階段性目標我們希望說 |
transcript.whisperx[424].start |
11349.335 |
transcript.whisperx[424].end |
11362.588 |
transcript.whisperx[424].text |
這在117、118年能夠達到60%到65%那如果說現在1.5%如果說是成案的話我們希望預期是至少可以到70%到80%所以你們不反對嗎我們從來沒有反對說這樣的方式不好 |
transcript.whisperx[425].start |
11371.126 |
transcript.whisperx[425].end |
11397.464 |
transcript.whisperx[425].text |
對那現在有什麼爭議我們現在考慮的你們都不認為是不對的你們都不認為說這個部分不好而且是確實可以提高覆蓋率我想我們怎麼樣怎麼樣的提高政策的導入政策的誘因委員提的版本是1比1.5這是一個方式那我們也有另外想到一個方式就是總而不變之下我們的負擔多一點如果100 100都講100 |
transcript.whisperx[426].start |
11399.565 |
transcript.whisperx[426].end |
11408.894 |
transcript.whisperx[426].text |
然後以後他繳80我們繳120好那你提的政策增加多少預算那個大概6億6億跟8億會差很多嗎那哪一個效率會更多現在的15.5億大概差一半 |
transcript.whisperx[427].start |
11415.06 |
transcript.whisperx[427].end |
11442.794 |
transcript.whisperx[427].text |
那另外我們希望說不一定是二選一啦可能是可以合在一起部長好啦你們行政院農業部你們有方案那請問你們有提出嗎還在討論還在檢討我們已經跟院長室那邊約時間了我們會先跟院長做專案報告如果方向確定的時候我們就會立即提出我們的版本 |
transcript.whisperx[428].start |
11443.354 |
transcript.whisperx[428].end |
11468.508 |
transcript.whisperx[428].text |
那這個版本完了以後會經過包括因為這需要額外的經費嘛還要主計總署還要其他的單位去表示意見所以你們的版本大概是增加5億不是我們的版本有幾個一個就是委員的版本也許可以跟我們的版本做某個程度的融合啦那這個融合可能要經過行政院這邊初步的支持我們才能夠精算下去 |
transcript.whisperx[429].start |
11469.522 |
transcript.whisperx[429].end |
11491.682 |
transcript.whisperx[429].text |
所以你認為這是可以有調和版的對不對行政院有調和版那有一個調和版也可以增加我們的覆蓋率我們117年118年到達了60%到65%這樣的標準是不是調和版也是可以而且經費不用有那麼多的壓力是這樣嗎 |
transcript.whisperx[430].start |
11492.603 |
transcript.whisperx[430].end |
11521.224 |
transcript.whisperx[430].text |
是 因為以15.5億來講齁其實比起其他的重大建設 它的金額並不大啦齁 但是你講到重點了真的 部長你講到重點了今天 如果我們今天一億兩億在這邊論農民心在糖血啦是 他說齁 你一個大型建設 幾百億都在做啊啊你對我農民 你是一億兩億 讓我在那裡斤斤計較 |
transcript.whisperx[431].start |
11523.523 |
transcript.whisperx[431].end |
11528.068 |
transcript.whisperx[431].text |
這個其實是一個痛所以如果今天 |
transcript.whisperx[432].start |
11529.827 |
transcript.whisperx[432].end |
11550.594 |
transcript.whisperx[432].text |
我們站在執政的角度 我覺得我們就把它很清楚的講出來我們要到達117年 118年的60%到65%的覆蓋率我們要提出什麼樣的政策 大聲講出來不是真的問題是農民可以有信心嗎 農民有要加入我們這個農民退休儲金嗎我們有辦法達到讓他們安心嗎 |
transcript.whisperx[433].start |
11556.351 |
transcript.whisperx[433].end |
11575.205 |
transcript.whisperx[433].text |
是這個目標不是一億兩億三億四億這樣的問題而是要有一個完整的制度讓他們安心這才是最重要今天有很多是因為不安心否則為什麼農民退休除菁是比以前更好 |
transcript.whisperx[434].start |
11576.363 |
transcript.whisperx[434].end |
11592.876 |
transcript.whisperx[434].text |
以前沒有撥補啊以前沒有啊那是在蔡英文總統的時候我們提了這個農民退休儲金的制度有了撥補好那應該大家會一窩蜂想要進來可是為什麼還是覆蓋率沒有到達 |
transcript.whisperx[435].start |
11594.555 |
transcript.whisperx[435].end |
11608.749 |
transcript.whisperx[435].text |
過五成的部分 我們就要去想原因沒安心了所以當你要再提出版本 要做調和版你一定要有一個原則安心好 那現在這個版本什麼時候要提出 |
transcript.whisperx[436].start |
11609.704 |
transcript.whisperx[436].end |
11628.839 |
transcript.whisperx[436].text |
我想我們應該在順利的話應該在這個禮拜可以跟行政院做報告這個禮拜會跟行政院做報告然後報告以後如果說我們的想法是被支持的時候還是說需要調整我們可能也會立刻的去做調整然後再重新抱怨 |
transcript.whisperx[437].start |
11630.04 |
transcript.whisperx[437].end |
11653.208 |
transcript.whisperx[437].text |
所以我們的目標就是下個會期會送進來下個會期就是農民退休儲金制度的修正版我們也希望說連老農津貼的修正牌付的東西也一併送進來因為他不能單獨看這兩個要一起來看這個就是我要問你第二個問題今天這個牌付的部分 |
transcript.whisperx[438].start |
11654.218 |
transcript.whisperx[438].end |
11659.207 |
transcript.whisperx[438].text |
之前部長一直把他綁在八大福利津貼 |
transcript.whisperx[439].start |
11660.98 |
transcript.whisperx[439].end |
11676.192 |
transcript.whisperx[439].text |
這個是不是我綁 我們提出我們的版本是 那現在我要問你的是現在你說的我們要一併討論我們現在可以排除跟他們脫鉤嗎對 可以嗎以農業部來講我們希望脫鉤當然當然我們希望脫鉤嘛但是我現在問你有沒有辦法脫鉤沒有 那不是行政院要決定啊 |
transcript.whisperx[440].start |
11685.066 |
transcript.whisperx[440].end |
11702.862 |
transcript.whisperx[440].text |
因為不是我能決定我的希望說所以那你要你在這個禮拜跟行政院長談的時候你要一併談啊因為這兩個本來都是農民最重要的這是我們一向的立場就是說因為農民有他的特殊的產業所以我們希望說能夠適度的脫鉤啊但是 |
transcript.whisperx[441].start |
11705.504 |
transcript.whisperx[441].end |
11727.598 |
transcript.whisperx[441].text |
那你要一併談啊所以在這個老農今天你之前一直說你都支持你都支持可是因為他永遠把我們綁在八大社福津貼嘛好那既然現在要談我們農民退休儲金制度這本來就要一起談啊老農今天本來就要一起談啊在我們的排富的部分嘛那你要跟院長說這兩個要一起讓農民安心 |
transcript.whisperx[442].start |
11732.701 |
transcript.whisperx[442].end |
11759.186 |
transcript.whisperx[442].text |
這農民安心才能真正達到我們調和板的一個處理的機制好不好部長 你在這一次就是在整個排富條款一定要把那個整個拉高否則這個已經完全讓老農沒有辦法去認同我們政府說現在還有爸爸親親在在就有爸爸了 大家也把你排除掉是不是 部長好不好 |
transcript.whisperx[443].start |
11760.861 |
transcript.whisperx[443].end |
11786.402 |
transcript.whisperx[443].text |
可不可以啦我立場表達的非常清楚我們希望能夠就是這個禮拜嘛 你就說是我們我們壓力的嘛 我們逼你的嘛沒錯 那你要去跟院長報告啊你在這個禮拜的報告是兩個一起提出來報告並行因為這是我們老農非常重要的一個依據我們農民非常重要的依據所以兩個一起跟行政院長報告你說這是 |
transcript.whisperx[444].start |
11787.583 |
transcript.whisperx[444].end |
11806.465 |
transcript.whisperx[444].text |
我們的委員在經濟委員會要求的然後跟院長報告看怎麼處理我們一定要一次而且那個差太多了所以拜託有而且喔如果由你來做發動不一定因為我們腦農今天的解掉 |
transcript.whisperx[445].start |
11807.486 |
transcript.whisperx[445].end |
11832.247 |
transcript.whisperx[445].text |
排富的解掉 會帶動八大福利 其他的七大福利基金今天也解掉喔 這樣直接做工程耶你知不知道 部長這個禮拜喔 兩個一起報告結果怎麼樣 我們隨時要知道看到底是你們的問題 還是院長的問題嘛這樣我們就知道 要去找誰說啊要不然我們現在也不知道原因在哪裡 |
transcript.whisperx[446].start |
11833.683 |
transcript.whisperx[446].end |
11860.061 |
transcript.whisperx[446].text |
那我們每次提案就說 喔 還一下 要討論 要討論可是我們回去對農民來講 都沒辦法交代再拜託部長 這個禮拜就是我們的農民退休儲金制度我們的調和板 要怎麼讓我們的覆蓋率可以達到117年 118年我們的60%到65%然後我們的老農津貼 我們的排付條款一定要解掉 |
transcript.whisperx[447].start |
11861.242 |
transcript.whisperx[447].end |
11883.278 |
transcript.whisperx[447].text |
不能在這五百萬一定要解掉要以現在的比例 甚至每年都要做檢討我們的整個物調太快了嘛這個物調太快了 農民沒有辦法接受啦所以這個再拜託我們的部長 謝謝好 謝謝我們中午不休息 延長開會時間現在請張家俊委員做詢答 |
transcript.whisperx[448].start |
11893.865 |
transcript.whisperx[448].end |
11894.87 |
transcript.whisperx[448].text |
謝謝主席 我想請這個陳部長 |
transcript.whisperx[449].start |
11905.207 |
transcript.whisperx[449].end |
11931.794 |
transcript.whisperx[449].text |
我想要呼應一下這個陳廷飛委員我想有關於這個老農津貼的牌付條款是不分朝野大家都想要為老農爭取的因為現行的這些規範的確是對我們的老農非常的不公平我想要知道說部長您可以再明確的表達一下針對牌付條款這個部分要放寬要提高要鬆綁的部分您的態度是為何呢基本上在 |
transcript.whisperx[450].start |
11933.515 |
transcript.whisperx[450].end |
11957.194 |
transcript.whisperx[450].text |
上上個會期吧我們立法院有一個討論然後後續我們就提出一個農委會的那時候農委會的一個版本是那在那個版本裡面我們也支持這個排布條款做適度的放寬大概會放寬到什麼程度我想我們在還沒有經過行政院確認同意之前我們不適合說是放寬到多少 |
transcript.whisperx[451].start |
11958.171 |
transcript.whisperx[451].end |
11979.976 |
transcript.whisperx[451].text |
但是你覺得有可能會符合一般老農的期待嗎我不知道因為每個人的期待可能不一樣但是基本上很多委員所提到的要根據有一些它的物價指數跟那個調整我們大概也是參考這樣的一個調整的方式去設計的那大概多久可以把這個決定發出來呢我想 |
transcript.whisperx[452].start |
11982.797 |
transcript.whisperx[452].end |
12008.782 |
transcript.whisperx[452].text |
我們不會提出一個建議因為最主要是需要一些經費所以我們必須在行政院獲得行政院的支持嘛放寬 你的意思是說經費的部分一定要行政院支持但放寬不需要經費啊沒有你是說放寬之後會增加的部分的經費 了解那這個部分我想一定要得到行政院的支持所以我們一定那你們有試算過大概會增加多少嗎 |
transcript.whisperx[453].start |
12009.912 |
transcript.whisperx[453].end |
12029.48 |
transcript.whisperx[453].text |
我們現在大概30億左右大概30億左右那可以幫助非常多的老農所以要請部長要據理力爭為我們的農民發聲尤其為我們台灣付出了一輩子的老農我覺得非常需要部長 |
transcript.whisperx[454].start |
12031.001 |
transcript.whisperx[454].end |
12058.223 |
transcript.whisperx[454].text |
可以幫他們說幾句話那最近前陣子因為這個低溫的影響導致雲林縣包括可能雲林以南的這些荔枝 酪梨 結果率不佳那經縣府爭取這個天然災害救助之後農業部也已經公告了那這一點我必須要代表這個農民給農業部肯定就是說非常的迅速那但是接著 |
transcript.whisperx[455].start |
12058.763 |
transcript.whisperx[455].end |
12080.532 |
transcript.whisperx[455].text |
還有另外一個嚴峻的問題就是這個柑橘類的果樹到目前為止普遍也是結果率偏低不曉得那個部長知不知道這件事情我跟委員說明一下就是有時候這些多年生的果樹從開花到結果有沒有那有時候像荔枝您知道荔枝花開得很漂亮但是它結果率不好 |
transcript.whisperx[456].start |
12081.272 |
transcript.whisperx[456].end |
12098.969 |
transcript.whisperx[456].text |
同樣的我們觀察到結果必須確認的時候我們就確認了所以我們就很快的開了那柑橘類的時候他一樣他會先開花然後結果的時候那個生理的弱果是情況怎麼樣所以我們可能還要再觀察一段時間大概多久呢大概 |
transcript.whisperx[457].start |
12100.289 |
transcript.whisperx[457].end |
12118.756 |
transcript.whisperx[457].text |
6月底到7月中目前我收到的消息我直接問農業部他是跟我說6月中下旬我們希望是越快越好因為這些農民其實是非常焦躁不安的那也很擔心說他們一整年的努力就要付諸流水了那他們現在 |
transcript.whisperx[458].start |
12119.156 |
transcript.whisperx[458].end |
12138.589 |
transcript.whisperx[458].text |
非常的焦急 那希望說農業部我們趕快啟動這個四方會開 趕快去現場開然後解決他們現在焦急的部分讓他們可以得到這個應有的協助那這一點要請部長多多加油 敬訴不要等到七月 七月我覺得太久了這個要因為現在天堂的關係嘛 |
transcript.whisperx[459].start |
12139.95 |
transcript.whisperx[459].end |
12158.848 |
transcript.whisperx[459].text |
我們一定立即第一時間就去看這一點一定要請部長要求一下他們要盡速的不要說等等等等到農民都已經沒有希望了感覺無望了對不對那另外呢上個禮拜上個禮拜本席有向您追蹤這個季節性的這個 |
transcript.whisperx[460].start |
12162.03 |
transcript.whisperx[460].end |
12170.437 |
transcript.whisperx[460].text |
就是那個農業移工新制的問題那農業移工是有季節性的這個需求問題那如果申請之後還要向勞動部進行維持一個90天的審查可能早就錯過了 |
transcript.whisperx[461].start |
12177.562 |
transcript.whisperx[461].end |
12201.932 |
transcript.whisperx[461].text |
這個生長跟採收的季節那塗增這個農民的困擾那部長上個禮拜有答應說你會親自跟勞動部紅部長談然後把農業移工拉出來單獨審查不曉得談的這個結果如何我第一個部分我跟委員報告就是上次您問了以後的第二天吧我就院會我剛好勞動部長就坐在我旁邊我就親自跟他講 |
transcript.whisperx[462].start |
12203.092 |
transcript.whisperx[462].end |
12228.212 |
transcript.whisperx[462].text |
然後他第一個部分在規定上面來講他們是七天加七天再加一個審查期所以他們會從更簡化的方式然後同樣的農業部有責任農業部在第一線審查的時候以現在來講我們農糧署在處理的話大概是三個禮拜到四個禮拜甚至於再加上前面的作業的話可能要到一個月去了 |
transcript.whisperx[463].start |
12228.812 |
transcript.whisperx[463].end |
12238.272 |
transcript.whisperx[463].text |
那我也希望說我們農業部本身在出核的時候也要簡化那個流程那勞動部在審查的時候也簡化的話那這樣的話時間就可以有機會去壓縮 |
transcript.whisperx[464].start |
12240.57 |
transcript.whisperx[464].end |
12258.526 |
transcript.whisperx[464].text |
對 這個就是本席要講的 因為本席也問了這個勞動部喔勞動部的意思就是說 欸 他們好像只要幾天 好像是15天以內7天加7天嘛對 7天 就是說15天以內就可以那如果假設90天 扣除掉他的15天這等於是農業部一個部會要審查60幾天欸 |
transcript.whisperx[465].start |
12262.669 |
transcript.whisperx[465].end |
12277.274 |
transcript.whisperx[465].text |
我也曾經查過我們農業部現在平均的審查大概是一個月到一個半月四個禮拜到六個禮拜但是勞動部那邊的7加7他也不會那麼快因為他還有他們有去算他的行政流程還有最後的會議的審查那個時間 |
transcript.whisperx[466].start |
12278.294 |
transcript.whisperx[466].end |
12300.105 |
transcript.whisperx[466].text |
所以就是希望說農業部的部分除了說已經部長已經很迅速的跟勞動部溝通了那我們農業部是不是內部也自我要求一下說我們剛才說的我們內部也會加快 要趕快簡化這個流程勞動部有一部分他們提供的資訊我們還要再check一下理論上是7加7天但是還有一些行程還有審查的流程 |
transcript.whisperx[467].start |
12302.147 |
transcript.whisperx[467].end |
12327.144 |
transcript.whisperx[467].text |
對 所以我也希望說如果說有什麼需要調整的部分儘速的趕快去解決趕快去解決讓它簡化我們跟勞動部大概溝通無礙我想我們會一起努力好 OK 謝謝這一點也請部長繼續幫我們農民追蹤因為這個很多就是需要移工的這些農民大家都非常的關心尤其因為可以從1.2萬的這個移工增加到2萬其實對於整個整體臺灣農業我想也是幫助非常的大 |
transcript.whisperx[468].start |
12331.027 |
transcript.whisperx[468].end |
12352.412 |
transcript.whisperx[468].text |
那接下來我本席也想要請問一下有關於那個進口豬肉含瘦肉精的事情前陣子連續3批的豬肉都驗出有萊特多巴胺那針對這樣子的食安警訊食藥署卻表示說不會再提高這個抽樣的比率也拒絕公佈流向那導致有很多國內的豬農他也很憤慨 |
transcript.whisperx[469].start |
12354.713 |
transcript.whisperx[469].end |
12358.756 |
transcript.whisperx[469].text |
無法理解說為什麼政府會這麼的雙標面對進口的豬肉可以這麼寬容這麼低調那對於國內的養豬產業只要一有違規就會立即加強查核然後嚴格開罰這不但讓豬農覺得是雙標到極點也覺得被犧牲被忽視甚至我們一般的這個消費者也覺得很無奈啊怎麼會這樣子的話 |
transcript.whisperx[470].start |
12380.509 |
transcript.whisperx[470].end |
12400.346 |
transcript.whisperx[470].text |
如果假設流入校園怎麼辦呢那他們如果不小心買到怎麼辦呢所以我也很希望說部長可以去理解我們豬農的一個心聲那因為農業部也一直強調說要守護台灣的農業那是不是部長也要跟這個食藥署這邊包括衛福部這邊來表達一下你的立場呢 |
transcript.whisperx[471].start |
12401.409 |
transcript.whisperx[471].end |
12425.447 |
transcript.whisperx[471].text |
基本上農業部的立場就是要確保我們國內的豬產業能夠持續發展這是一個非常重要的至於說進口的豬肉是由衛護部主管我在這邊也要做一個說明其實衛護部在邊境把關的部分農業部是防疫的部分他們是檢疫的部分能夠讓他進來一定是合於國家的標準沒有說他不合於國家的標準 |
transcript.whisperx[472].start |
12426.548 |
transcript.whisperx[472].end |
12447.774 |
transcript.whisperx[472].text |
有一些誤解我覺得必須要澄清但是以農業部來講我們一定讓我們國內的豬肉更有品牌更有市場區隔是 那本席想要請教您知道現在食藥署針對豬肉抽樣的比例是多少嗎這邊有講到差不多要看它的不同的國家啦差不多二至十排啦那您覺得這樣足夠嗎 |
transcript.whisperx[473].start |
12450.851 |
transcript.whisperx[473].end |
12468.14 |
transcript.whisperx[473].text |
我所了解就以防疫的角度啦因為他們查驗的我不是很清楚那海關的部分當初要讓這個萊豬進口的時候當初農委會那時候農委會也有說他說一定是逐批抽樣那到底是什麼原因降到連10%都不到的標準本來是說每一批都要抽 |
transcript.whisperx[474].start |
12471.842 |
transcript.whisperx[474].end |
12495.574 |
transcript.whisperx[474].text |
我覺得查驗的部分不應該是農業部來發言我知道但是當初是你們的立場你們跟我們的鄉親講講說一定會要求他們都要逐批查驗怎麼現在降到這樣子農業部一句話也不說我想抽驗的比例跟他的風險是有關聯的以防疫的角度如果說我想要知道這個農業部的態度您認為應不應該恢復逐批檢驗 |
transcript.whisperx[475].start |
12500.556 |
transcript.whisperx[475].end |
12516.393 |
transcript.whisperx[475].text |
我認為就是所有的貨品的防疫檢驗的部分會根據它的風險它如果曾經發生不違規的時候它的查驗的抽檢的比例就會提高本席跟部長提供一個最新的民調數據 |
transcript.whisperx[476].start |
12517.674 |
transcript.whisperx[476].end |
12520.055 |
transcript.whisperx[476].text |
消基會針對進口萊豬做了一份民調調查結果高達90%的消費者在意是否買到這個瘦肉精的這個產品64%的民眾表示說支持肉品應該逐批檢驗 |
transcript.whisperx[477].start |
12535.12 |
transcript.whisperx[477].end |
12545.729 |
transcript.whisperx[477].text |
有高達76%的民眾表示不同意販售含萊特波巴胺的肉品部長這就是民意啊多數人的確是擔心吃到萊豬也不想要買到萊豬而且希望恢復這個竹皮檢驗也希望說農業部可以幫他們把這個聲音發出來那另外我想要知道的是說是不是 |
transcript.whisperx[478].start |
12560.1 |
transcript.whisperx[478].end |
12577.237 |
transcript.whisperx[478].text |
也要強烈的要求保護我們台灣優質的豬肉這當然是我們大家不喜歡來豬肯定就是我們國產豬肉的機會我們這個國產豬肉的標示也一定要清楚一定要把這個品牌做出來讓我們國產豬肉更受這個消費者的喜愛 |
transcript.whisperx[479].start |
12580.9 |
transcript.whisperx[479].end |
12600.516 |
transcript.whisperx[479].text |
第一個就是國產的部分沒問題我們一定會去加強國產豬的標示還有一些品牌區隔但是您剛才講的我覺得邊境的查驗要回到科學的根據還有國際的標準當初是中央政府出來講的講說我要逐批檢查怎麼會出爾反爾呢這些超研是用科學根據而不能用這種民意來處理你現在說科學根據 |
transcript.whisperx[480].start |
12603.138 |
transcript.whisperx[480].end |
12611.562 |
transcript.whisperx[480].text |
那就逐批檢查才有科學根據逐批檢查出來的數據可以說服大家你現在是在幫他們進口商說話嗎你現在是在幫萊特多巴胺的豬肉說話嗎你不要汙衊喔我的意思是說科學根據是什麼你告訴我是什麼什麼是科學根據所有的邊境的查驗的比例是根據那個農產品的風險根據什麼風險你現在是在幫 |
transcript.whisperx[481].start |
12632.054 |
transcript.whisperx[481].end |
12636.219 |
transcript.whisperx[481].text |
進口的萊特多巴胺豬肉酸辣嗎我覺得這樣講就是污衊我沒有針對萊特多巴胺我是針對防疫的部分好好再跟你說你支不支持應該要逐批檢查 |
transcript.whisperx[482].start |
12646.832 |
transcript.whisperx[482].end |
12659.162 |
transcript.whisperx[482].text |
我還是說要回到所有的抽驗要回到科學的根據跟實際的部分什麼科學根據你告訴我所有的當你的產品當你的產品如果說經常違規你如果還有逐皮檢查的話你那個科學根據的數據哪裡來的呀科學有所謂的抽樣的根據那為什麼中央要出爾反爾當初不管是衛福部農業部都說我們一定會逐皮檢查絕對不會讓萊特多巴胺抽標的豬肉進口結果 |
transcript.whisperx[483].start |
12674.795 |
transcript.whisperx[483].end |
12681.018 |
transcript.whisperx[483].text |
上禮拜 上個月就來個3%基本上部長我告訴你豬農 豬農對對我知道我也會去問他們我現在是問你的態度你支不支持豬農對你抱持很高的期待他們期待的是一個能為他們發聲替他們爭取公平競爭條件的農業部長我想 |
transcript.whisperx[484].start |
12696.005 |
transcript.whisperx[484].end |
12698.127 |
transcript.whisperx[484].text |
除了剛剛提到的這個恢復竹皮檢查之外把這個標示清楚然後要怎麼樣支持國產豬的具體的措施部長你要能夠幫助他們而不是在這裡辯護欸沒有我告訴你國內的豬肉我們如果說消費者對國內的豬肉有信心的話 |
transcript.whisperx[485].start |
12715.021 |
transcript.whisperx[485].end |
12718.705 |
transcript.whisperx[485].text |
任何進口豬肉我們不用擔心所以我們的重點農業部的重點就是讓我們的國產豬是你要好好把國產豬照顧好之外我覺得我剛才也是只是問你而已問你說支不支持逐匹檢查難道是你可以決定說要不要逐匹檢查的嗎我只是在問你說 |
transcript.whisperx[486].start |
12732.517 |
transcript.whisperx[486].end |
12757.705 |
transcript.whisperx[486].text |
你知不支持而已嘛那你就說你支持就好了嘛跟支持不支持沒有關係是跟科學的根據跟國際的規範那你科學根據哪裡來嘛哪裡來你的科學根據你告訴我如果你可以說服我我不是不能被說服的呀所有的邊境的查驗各國都有他的相關的遊戲規則那為什麼我們一開始中央政府要說他要逐批檢查他要百分之百檢查那是不是在欺騙我們的鄉親欺騙我們的消費者是嗎 |
transcript.whisperx[487].start |
12760.746 |
transcript.whisperx[487].end |
12763.827 |
transcript.whisperx[487].text |
我相信至少不是我嘴巴講出來的 我不知道但是之前的部長啊 之前的兩個部長都說呀恢復部部長 然後農業部部長農業委會主委就說一定會百分之百檢查那時候的行政院長蘇貞昌 |
transcript.whisperx[488].start |
12780.655 |
transcript.whisperx[488].end |
12782.898 |
transcript.whisperx[488].text |
他也說要百分之百檢查逐批檢查那為什麼會出爾反爾呢為什麼你要幫他們辯護呢我本來只是要要求你照顧我們本土的豬農確定他們的品牌 優化他們的品牌 |
transcript.whisperx[489].start |
12799.629 |
transcript.whisperx[489].end |
12814.496 |
transcript.whisperx[489].text |
你為什麼要幫他們辯護呢我剛剛講的我純粹針對防疫的角度我不是查驗喔防疫的角度要根據風險根據科學根據喔那至於說邊境從一百那你好好的就把這個講清楚嘛為什麼要幫他們辯護你不要說我是擁護那個萊豬或怎麼樣的我覺得你這個就是掛帽子 |
transcript.whisperx[490].start |
12819.218 |
transcript.whisperx[490].end |
12823.601 |
transcript.whisperx[490].text |
我沒有要幫你掛帽子是你剛剛自己講的我問你說你是不是在幫他們辯護然後你跟我說什麼什麼科學根據我說科學根據在哪裡嘛我有沒有要求說你要照顧本土豬農有沒有我會承諾說我們一定是農業部的立場是嘛你就好好講你會支持本土豬農就好你再跟我 |
transcript.whisperx[491].start |
12841.875 |
transcript.whisperx[491].end |
12845.997 |
transcript.whisperx[491].text |
狗細沙講說什麼什麼什麼什麼要科學根據我跟你說如果你不是自己講出這個空間我要怎麼掛你帽子我要怎麼掛你帽子你自己剛才沒有幫他辯護嗎 |
transcript.whisperx[492].start |
12857.682 |
transcript.whisperx[492].end |
12859.043 |
transcript.whisperx[492].text |
這不叫辯護這是從事實上那我問你願不願意幫他們說應該要恢復逐批檢查願不願意願不願意幫出農呼籲幫我們消費者呼籲衛福部說應該要 |
transcript.whisperx[493].start |
12872.68 |
transcript.whisperx[493].end |
12880.362 |
transcript.whisperx[493].text |
恢復足皮檢查為什麼之前的部長可以講為什麼之前的院長可以講你現在不願意講你如果不願意講的話那就有幫他們辯護的嫌疑這樣子我是不是你就有幫他辯護的嫌疑這樣可以嗎我沒有扣你帽子我只是懷疑這樣可以嗎你的專業是什麼 |
transcript.whisperx[494].start |
12896.266 |
transcript.whisperx[494].end |
12901.772 |
transcript.whisperx[494].text |
我的專業就是說你所有的檢驗一定要有科學根據那你的科學根據是什麼你沒有主體檢查你的風險哪裡來你怎麼算出那個風險的所有的東西都有取樣的標準我當然知道但是你要體會 |
transcript.whisperx[495].start |
12911.964 |
transcript.whisperx[495].end |
12921.272 |
transcript.whisperx[495].text |
體會豬農的心情 他們就覺得雙標你對他們檢查那麼苛刻你講這一句話我可以接受但是你在那邊跟我胡亂說什麼因為它2至10%是因為它有什麼科學標準我不接受 我不接受2至10%是你講的 |
transcript.whisperx[496].start |
12930.501 |
transcript.whisperx[496].end |
12956.274 |
transcript.whisperx[496].text |
我不接受 我是問你說現在只有2至10%你能不能接受然後我問你說是不是要能夠逐臂檢查你說吧啦吧啦吧啦對 我說根據科學依據嘛我沒有吧啦吧啦吧啦我是根據科學依據那科學依據是什麼你說服我啊科學依據是風險啊 風險的高低啊風險是什麼 多大風險你知道嗎你就不知道你要說服我我怎麼知道我不知道那你說我告訴你 所有的東西都有它的風險你說嘛 那具體是什麼你告訴我具體內容嘛我講一個很簡單的 |
transcript.whisperx[497].start |
12960.416 |
transcript.whisperx[497].end |
12978.689 |
transcript.whisperx[497].text |
一個農產品如果進口我現在跟你說萊豬你就用萊豬的跟我說我告訴你萊豬到目前為止沒有一個驗出是超標的嘛他有含萊豬但是他是符合國內的標準嘛符合國內的標準啊所以你也支持他說不用公開流向 |
transcript.whisperx[498].start |
12979.898 |
transcript.whisperx[498].end |
12984.241 |
transcript.whisperx[498].text |
所以你也支持嗎你也支持嗎我現在就在問你嘛我問你農業部的立場嘛對啊你農業部的立場是什麼你沒有個人的想法嗎反正我現在就告訴你我現在就告訴你 |
transcript.whisperx[499].start |
12996.889 |
transcript.whisperx[499].end |
12999.69 |
transcript.whisperx[499].text |
我希望我們國家是一體的不希望農業部跟衛福部兩個就是雙重標準我希望說您能夠落實照顧豬農優化我們台灣國內的產品這一點你可以做到嗎好那這一點就麻煩那個部長要能夠落實這樣可以嗎 |
transcript.whisperx[500].start |
13017.458 |
transcript.whisperx[500].end |
13038.731 |
transcript.whisperx[500].text |
那不要再幫什麼衛福部在那邊辯護了不需要你不需要幫他們解釋也不需要幫他們辯護他們我自己會問怎麼問我問你這個你會幫他們回答呢好嗎我回答是我們方議員你來你好好來關心他們豬農我相信豬農會非常感謝你這樣好不好我昨天才去做談的啊好不好加油謝謝好現在請蔡議員做詢答 |
transcript.whisperx[501].start |
13059.145 |
transcript.whisperx[501].end |
13062.228 |
transcript.whisperx[501].text |
謝謝詹委那我們是不是有請農業部部長陳部長委員好部長好 |
transcript.whisperx[502].start |
13072.199 |
transcript.whisperx[502].end |
13095.255 |
transcript.whisperx[502].text |
部長我想透過今天質詢來跟部長聊一下阿里山鐵路阿里山鐵路是農業部管不是交通部是我們的林保署的這個林鐵處主管這一個阿里山的鐵路那這個阿里山鐵路他也被紐約時報2025年推薦全球最值得去的52個地點 |
transcript.whisperx[503].start |
13098.027 |
transcript.whisperx[503].end |
13106.941 |
transcript.whisperx[503].text |
52個聖地之一那甚至 紐約時報說搭乘古老車廂進入昌裕的高山這個就是他們的一個介紹 |
transcript.whisperx[504].start |
13108.018 |
transcript.whisperx[504].end |
13133.491 |
transcript.whisperx[504].text |
那我們做這一條阿里山鐵路那現在林鐵處也很用心他還打造了新的車廂一個叫做福生號一個叫做喜悅號那當然他是委託給旅行社來管理所以他有獨特的一個管理方式那至少新的車廂跟傳統的一個車廂有這個新舊的一個感受所以你搭怎樣的車廂去阿里山 |
transcript.whisperx[505].start |
13134.712 |
transcript.whisperx[505].end |
13154.234 |
transcript.whisperx[505].text |
就會有不同的感受但是我要跟部長說因為我們在兩個禮拜前我們去阿里山我們也是坐福生號去做考察那我想跟部長說我有幾個感受第一個就是說我們在拼國際旅客的這件事情力道不足 |
transcript.whisperx[506].start |
13154.975 |
transcript.whisperx[506].end |
13177.814 |
transcript.whisperx[506].text |
那怎樣的力道不足呢?我想要跟部長分享一下在113年,也就是2024年,去年的時候來阿里山的遊客日本人佔了131萬人韓國人有100萬人那剩下有印度、馬來西亞,甚至是新加坡新加坡還蠻多的,有40萬人 |
transcript.whisperx[507].start |
13179.107 |
transcript.whisperx[507].end |
13208.079 |
transcript.whisperx[507].text |
那如果既然這樣的話明明有這麼多外國的旅客願意來到坐阿里山鐵路然後來阿里山旅遊的話但是我們看到那些告示牌目前有的就只有中文跟英文是就是有中文跟英文那你相對的喔你去日本你去看日本的旅遊景點我有給大家注意差不多都四種語言就是日文他們的日文中文英文韓文 |
transcript.whisperx[508].start |
13209.178 |
transcript.whisperx[508].end |
13225.485 |
transcript.whisperx[508].text |
你的四種語言所以基本上你光是那種告示的你語言的一個展現就可以讓這一些外國的旅客他們覺得親近覺得來這裡玩是很容易透過一些告示他就知道他要去哪裡玩所以我覺得這部分我們可以來加強 |
transcript.whisperx[509].start |
13226.405 |
transcript.whisperx[509].end |
13247.916 |
transcript.whisperx[509].text |
部長,我想非常謝謝委員的提醒,那其實阿里山我覺得是一個非常值得國人去的,也非常值得國外的旅客。那有關於語言上面來講,除了您剛才講的這些,不管在哲業或是在導覽的解說,可以有更多的語言方面,其實我已經跟林業百惠署特別提到, |
transcript.whisperx[510].start |
13248.436 |
transcript.whisperx[510].end |
13268.999 |
transcript.whisperx[510].text |
有很多景點我們手機有沒有一照的時候可以跳出它的後面的整個背景說明那這樣的話又更能多元化部長你們的官方網站有有日文官方網站有很多景點的說明你看林保署他們這個做的這一本哇這個日文版的精裝版非常的漂亮然後裡面都是日文是 |
transcript.whisperx[511].start |
13270.24 |
transcript.whisperx[511].end |
13289.868 |
transcript.whisperx[511].text |
這本也做得很好我現在就是說進到原子裡面去遊覽的時候很多景點都說明有一些用QR code的方式能夠用手機掃描帶出不同國家語言的版本這樣的話讓旅客更能夠了解這個是一個方式啦但是我覺得幾個基本語言我們一定會把它放進去我是覺得直接做印裔的告示是更好 |
transcript.whisperx[512].start |
13290.588 |
transcript.whisperx[512].end |
13308.446 |
transcript.whisperx[512].text |
剛剛說你把日文放上去我覺得重要的那些多過語言的告示我想我們會再來做那你可以再透過APP然後讓其他的可能是旅客相對比較少可是他們的語言也是需要所以我覺得這個都是說你要怎麼把它做到更親近讓大家更適合來旅遊 |
transcript.whisperx[513].start |
13309.987 |
transcript.whisperx[513].end |
13325.317 |
transcript.whisperx[513].text |
那我在考察的時候我有找文化部來事實上文化部每一年他針對阿里山森林鐵路要進去聯合國的世界文化資產他們編了兩千萬那我跟部長說雖然這裡沒有辦法把文化路叫來問但是我跟部長說這個兩千萬沒差錢 |
transcript.whisperx[514].start |
13332.154 |
transcript.whisperx[514].end |
13354.059 |
transcript.whisperx[514].text |
因為我們都知道台灣不是聯合國的會員國那你要併入世界文化資產的話就要在聯合國的這個文化的一個委員會要提案但是連提案的資格都沒有所以我要跟部長說在於阿里山鐵路要爭取世界文化遺產我們擁有最好的機會是怎樣就是因為這一個森林鐵路是日本人蓋的 |
transcript.whisperx[515].start |
13355.919 |
transcript.whisperx[515].end |
13373.659 |
transcript.whisperx[515].text |
日本人蓋這個森林潛入當年是為了運送木材現在我們把它轉型它變成一個觀光一個重要的觀光的火車我們應該跟日本合作由日本主動來申請世界文化遺產向聯合國申請跨國世界文化遺產 |
transcript.whisperx[516].start |
13374.4 |
transcript.whisperx[516].end |
13399.016 |
transcript.whisperx[516].text |
那為什麼會有所謂的跨國呢我們知道阿里山鐵路過去把阿里山這裡的Hinoki載去日本所以包括日本明治神宮的大鳥居也是阿里山的Hinoki包括日本的法隆寺裡面的建築物也是阿里山的Hinoki還有包括在沖繩日本的這個首里城也是用阿里山的Hinoki |
transcript.whisperx[517].start |
13405.101 |
transcript.whisperx[517].end |
13421.395 |
transcript.whisperx[517].text |
幾乎都是過去這一條鐵路嘛 它再到了日本所以你透過這樣整個檜木的一個文化的一個延伸跟這個鐵路現在這個鐵路比現在世界文化遺產在印度它的大吉嶺的高山鐵路它的高山鐵路兩千 |
transcript.whisperx[518].start |
13423.837 |
transcript.whisperx[518].end |
13445.215 |
transcript.whisperx[518].text |
2100公尺 我們阿里山高山鐵路是從海平面40公尺直接攀升到2200多公尺 比它還要高所以我們更有資格變成世界文化遺產 但是我們卻卡在這個國際因素所以我們應該要跟日本合作 為日本來興慶讓我們可以擴寬聯合國 然後讓阿里山鐵路變成世界文化遺產 |
transcript.whisperx[519].start |
13447.041 |
transcript.whisperx[519].end |
13462.278 |
transcript.whisperx[519].text |
我想謝謝委員這樣的一個建議我們會去評估它的可行性不過我要跟委員報告的就是在沒有加入世界遺產這是一件事情其實我們跟日本跟瑞士、印度、英國還有一些斯洛伐克等幾個國家都有建立那個協定 |
transcript.whisperx[520].start |
13464.7 |
transcript.whisperx[520].end |
13482.692 |
transcript.whisperx[520].text |
我覺得透過這個方式 其實也讓更多人了解到台灣的阿里山高鐵我們跟日本的黑山鐵路嘛 跟瑞士的高山鐵路都有 都是這叫姐妹鐵路這個都是我們努力的方向所以我現在要說的就是說 第一個整個阿里山旅遊 透過阿里山鐵路的旅遊它的告示應該要走國際化第二個 我們應該要嘗試的把它的 |
transcript.whisperx[521].start |
13487.495 |
transcript.whisperx[521].end |
13498.384 |
transcript.whisperx[521].text |
阿里山鐵路背後代表的歷史意涵跟文化意涵這要大家更加的琢磨我們才有辦法來擴寬世界文化遺產好 這我們來努力好 然後來下一個問題一樣來講這個豬的問題啦豬的問題我覺得剛剛張委員質詢 雖然他人不在這邊但是我覺得 |
transcript.whisperx[522].start |
13507.771 |
transcript.whisperx[522].end |
13525.663 |
transcript.whisperx[522].text |
他這樣質詢對部長比較不公平因為主要整個食安也好 整個檢疫的過程他就是一個用科學統計的一個計算嘛科學統計的計算就不會輸到我們的頭髮部長我們的頭髮檢查我們有可能把我們的頭髮抽掉嗎抽到一滴都沒有就抽掉了全部檢查不可能嘛所以抽樣檢查就是一個科學的依據啊所以部長你的回答是沒有問題 |
transcript.whisperx[523].start |
13538.812 |
transcript.whisperx[523].end |
13544.936 |
transcript.whisperx[523].text |
但是部長我要跟你說,現在DMA介紹說獎金要一百塊看似對豬農收益好,但是未必是這樣,因為最近不知道為什麼 |
transcript.whisperx[524].start |
13555.402 |
transcript.whisperx[524].end |
13579.269 |
transcript.whisperx[524].text |
那個Deeper,Deeper就是那個小豬仔小豬仔,他的死亡率有比較高價格很高,這個小豬仔價格很高咧最近整個Deeper新聞館,他們的抵控率感覺比較不夠所以死亡率又變高所以對豬農而言說,他這個97塊看起來有利潤的全部給他的Deeper吃牙 |
transcript.whisperx[525].start |
13580.349 |
transcript.whisperx[525].end |
13588.092 |
transcript.whisperx[525].text |
阿所以部長你有沒有注意到這一塊那要怎麼樣去協助豬農說本來應該端午節這肉粽子要賣多少價格應該要賺錢的時候我這棵樹沒賺到因為這棵的價格太高我跟委員 委員報告齁現在的地價我們是根據市場機制我們沒有特別去押它 |
transcript.whisperx[526].start |
13599.577 |
transcript.whisperx[526].end |
13622.015 |
transcript.whisperx[526].text |
那其中一個非常重要的有人說以前豬肉才70幾塊我說我們現在養豬的成本是越來越高包括飼料包括您剛才講的這些豬仔本身也價格越來越高像昨天我也到豬場去了解現在有一些有關的下痢的疾病那這個部分我也請專家團在了解現在好像 |
transcript.whisperx[527].start |
13622.856 |
transcript.whisperx[527].end |
13633.763 |
transcript.whisperx[527].text |
那個死亡的比例有一點異常啦所以我們希望說這兩件事就綁在一起嘛死亡的比例有一點異常所以變成牠的地盤的成本高豬籠牠要取得這個小豬仔牠的成本就提高就吃掉了牠最後銷售的成本所以我說這個東西我們也要讓消費者知道其實我們基本上是一個很好的豬的台灣豬肉一個很好的豬的品質 |
transcript.whisperx[528].start |
13651.215 |
transcript.whisperx[528].end |
13671.086 |
transcript.whisperx[528].text |
那相對的在這個節慶的過程中這個價錢是一個合理的價錢不是說偏高啦這個部分我想我們也會做加強的一個說明好 那部長我再問最後一題所以5月19號的時候你跟我有說我們行政院接下來會討論嘉義的查改廠的一個進度那我想要請教部長說那討論的結論是怎樣呢 |
transcript.whisperx[529].start |
13673.928 |
transcript.whisperx[529].end |
13698.874 |
transcript.whisperx[529].text |
現在一個問題就是梅山蝦經過探勘它的地質不穩定所以變成說那個腸子又可能會產生一些變化地質的不穩定是怎樣很不穩定以做探勘醫療可能會滑動啦所以是不夠水保不是水保就是本身地質的特性就容易滑動啦 |
transcript.whisperx[530].start |
13699.654 |
transcript.whisperx[530].end |
13726.322 |
transcript.whisperx[530].text |
所以會變成有一些你如果在這邊做廠的話會有一些困擾所以我也在請我們的查開廠這邊在做怎麼樣的規劃哇 部長剛剛講這個問題就很大這個就是我那天您問了以後我請他們來然後他們也把最近的這些勘查的報告跟我講那我覺得我們不能說地質不穩定然後硬去蓋一個東西所以看看說有沒有辦法在...喔 伯父你這樣站起來我抓 |
transcript.whisperx[531].start |
13728.583 |
transcript.whisperx[531].end |
13755.083 |
transcript.whisperx[531].text |
會緊張會煩惱我看我們要找一天來再跟您報告喊我們縣政府這邊大家要討論一下因為現在整個嘉義的茶葉啦包括說我們現在甚至咖啡類我們目標不變啦但是現在就是說有沒有辦法先成立我們的試驗地先不要先看看用成株的或是什麼方式然後先把那個廠區先把它設起來看看可不可以用這樣的分階段來做可是看起來 |
transcript.whisperx[532].start |
13757.125 |
transcript.whisperx[532].end |
13771.234 |
transcript.whisperx[532].text |
現在有一點就要重頭 因為你說如果來一塊地質不一定是不是涉及 牽涉到又要找新的場子還是怎樣這個問題就會變成說又跑回頭所以我覺得這顆零 我覺得你要花一點時間我們一起再跟委員來說明一下還是我經紀委會我排考察的方式可能麻煩部長你就要來 我不然這個問題這樣起來會變沒概念我了解好不好 不然你再找一座來我教他 大家來討論一下 好不好 |
transcript.whisperx[533].start |
13786.084 |
transcript.whisperx[533].end |
13790.126 |
transcript.whisperx[533].text |
好 謝謝部長好 謝謝我們現在請寧靜縣委員做詢答好 感謝主席本席邀請我們農業部陳部長陳部長各位好 保長你好保長 我今天想跟你談到一個問題 |
transcript.whisperx[534].start |
13815.385 |
transcript.whisperx[534].end |
13837.907 |
transcript.whisperx[534].text |
大概到今年為止,2024年,我們的農業就業人口數大概將近五十萬,然後四十九萬四千幾個現在應該更加四十八萬貴賓那其中啊,大概佔我國總就業人數都差不多四八多啦但是我其中 |
transcript.whisperx[535].start |
13839.232 |
transcript.whisperx[535].end |
13864.429 |
transcript.whisperx[535].text |
政府很關心農民 照顧農民所以我們從2021年我們就制定農民退休金的除息條例但是我看實施以來我們最近的這個提繳人數逐月的降低啦我給你看這個曲線啊然後各位 倒立我們這個農民退休除金的提繳人數啊好像參與人數可能會越來越少啦 |
transcript.whisperx[536].start |
13865.189 |
transcript.whisperx[536].end |
13888.16 |
transcript.whisperx[536].text |
到底是怎麼回事呢?缺乏誘因呢?還是說我們是不是應該,政府可以努力安裝來提供農民晚餘來參與退休儲金提交的意願?因為我們目的是要補充農民的生活嘛,以及最重要就是吸引年輕人投入啦我們現在的親農人數大概有多少? |
transcript.whisperx[537].start |
13891.249 |
transcript.whisperx[537].end |
13913.326 |
transcript.whisperx[537].text |
我們福島有關的都是7萬人左右7萬人左右我另外一個數字給部長當參考就是說很多人他要到農藥陣營其實有可能是勞工有可能在別的職場工作所以目前有參與勞保的農民大概有4萬3900多人就是說這些人是勞保但是他現在從事的是 |
transcript.whisperx[538].start |
13918.038 |
transcript.whisperx[538].end |
13924.887 |
transcript.whisperx[538].text |
農業過去參與其他的職業有了保全心很多人就因為他捨不得勞保所以就沒有來參加我們的 |
transcript.whisperx[539].start |
13933.162 |
transcript.whisperx[539].end |
13955.279 |
transcript.whisperx[539].text |
農民退休儲蓄啦 你知道這個總共嗎?我了解 我真的很感謝喔 就是委員提出這個觀察啦這個觀察真的非常重要 就是說我們現在有很多青農喔 大家有一半是假期從事勞工的但是因為勞工做了一段時間不做了從事農業 但是又捨不得放棄 |
transcript.whisperx[540].start |
13956.721 |
transcript.whisperx[540].end |
13972.601 |
transcript.whisperx[540].text |
這個保溫完全沒有保障,我們現在農業處境完全不能加保啦,不能加保所以我以為這樣說的話,這個部分我們要能夠解決了以後,才能夠讓這個覆蓋率能夠拉高對,因為你現在這個農民健康保險條例第五條你就知道了 |
transcript.whisperx[541].start |
13974.4 |
transcript.whisperx[541].end |
13981.084 |
transcript.whisperx[541].text |
第三條就是參與農民的退休儲蓄必須要有農報這條就白紙在這裡 農報就不行了更何況你第五條也寫到了 你要參與農民儲蓄保險 |
transcript.whisperx[542].start |
13995.956 |
transcript.whisperx[542].end |
14010.288 |
transcript.whisperx[542].text |
必須為領取相關的社會保險來領取付啦他這兩條白紙的齁所以這過去啊總是農業進行在白的政府的在白的行業的他是臣服勞保的他就不敢放棄啊你這樣他也不行啦他一定要放棄才可以來參加農民退休出去嘛所以當然就槓給他的議員嘛不然你如果知道這個情形 |
transcript.whisperx[543].start |
14021.818 |
transcript.whisperx[543].end |
14047.007 |
transcript.whisperx[543].text |
那我是覺得農業部應該要想辦法來處理對 謝謝委員關心那這個部分第一個就是要去修法我們也同意委員的這個看法就是說我們青農的主力有一半是曾經是保勞保的部分然後我們可以設計他勞保繼續保因為他是用自營工作者但是他可以加入農民退休儲金 |
transcript.whisperx[544].start |
14047.927 |
transcript.whisperx[544].end |
14064.659 |
transcript.whisperx[544].text |
那這樣的話他以後的保障會更多的時候他就有意願來繼續從事農業啦那這個部分如果委員支持我想我們會盡快的去在版本裡面去提出來配套因為你如果不修法你就抵觸了政府要發展輕農 |
transcript.whisperx[545].start |
14066.501 |
transcript.whisperx[545].end |
14071.986 |
transcript.whisperx[545].text |
對 輕點返鄉從事農業的這樣的一個政策方向你這個如果不讓這個勞保跟農民退休儲蓄來脫鉤的話你不脫鉤的話 這個問題就會存在所以我們這個我們會來處理 |
transcript.whisperx[546].start |
14083.075 |
transcript.whisperx[546].end |
14103.634 |
transcript.whisperx[546].text |
從博德醫界處理喔 你家這個人數啊 我掌握的人數啊目前有勞保 但是他從事農業的應該有將近4萬4千 4萬幾人欸 對喔 好不好 這個博文加我們請 部長如果有支持 那我們農業部應該盡速來修改相關的規範我跟委員報告喔 我們現在已經有安排跟行政院報告 |
transcript.whisperx[547].start |
14104.955 |
transcript.whisperx[547].end |
14119.16 |
transcript.whisperx[547].text |
農民稅有儲金的包括委員也有提案的這個1.5的部分還有一些我們的想法包括您剛才講的這個東西我們把它變成一個完整的方案來爭取行政院的支持這樣好好 抱歉先夠了謝謝主席好 謝謝現在請呂毅林委員做詢答 |
transcript.whisperx[548].start |
14134.572 |
transcript.whisperx[548].end |
14137.875 |
transcript.whisperx[548].text |
謝謝主席 請陳部長我剛延伸我們林委員剛剛講問的 |
transcript.whisperx[549].start |
14153.379 |
transcript.whisperx[549].end |
14175.332 |
transcript.whisperx[549].text |
有勞保的人沒有辦法投農保因為我們只能一個保公保、勞保跟我們的農保就只能選擇一個那有勞保的人可以來申請農民退休儲金嗎?現在也不行不行嗎?那你剛剛說你要研議你答應靈魂要研議我不懂你要怎麼研議啊我們這樣講喔 |
transcript.whisperx[550].start |
14177.967 |
transcript.whisperx[550].end |
14195.58 |
transcript.whisperx[550].text |
老保如果他還是有受僱於人的話是由他們的僱主去提領嘛那剛才我講的就是說有一些年輕人他可能二十幾歲到三十歲之間他是在公司服務沒有錯 |
transcript.whisperx[551].start |
14196.26 |
transcript.whisperx[551].end |
14224.754 |
transcript.whisperx[551].text |
他原來是有在公司服務他投了勞保但是他勞保之後他又轉做我們的親農你轉做親農之後的話你就不在公司工作了嗎還是同時有在公司工作職業公會那就是要選擇性只能一個保嗎只能一個保嗎可以雙重保險嗎不可以對不對他一個保但是他可以加入農民職業資金他又投勞保來加入農民的退休儲金可以這樣子 |
transcript.whisperx[552].start |
14225.954 |
transcript.whisperx[552].end |
14245.006 |
transcript.whisperx[552].text |
可以修法就可以了修法對那因為我們知道說我們有公保跟勞保的部分的話可以分開計算合併給付但是你要選擇性的你第一個階段的話如果是你是勞保後來你轉做公務人員的時候你就是沒有勞保了要改成公保 |
transcript.whisperx[553].start |
14245.606 |
transcript.whisperx[553].end |
14264.447 |
transcript.whisperx[553].text |
被停掉一個才可以繼續另外一個但是你的年資可以繼續計算是這樣子才分開計算合併來給付但是你現在把勞保可以繼續保勞保那你又可以來申請農民的退休雛金我跟委員報告齁這樣子雙保啦不會 |
transcript.whisperx[554].start |
14265.288 |
transcript.whisperx[554].end |
14274.855 |
transcript.whisperx[554].text |
老保退休金老保年金他不能領老保退休金他如果來加入我們農業退出儲金的話就不能老保退休金 |
transcript.whisperx[555].start |
14280.179 |
transcript.whisperx[555].end |
14307.885 |
transcript.whisperx[555].text |
他可以保勞保不能領勞保退休金他可以來領農民的退休儲金法要修得清楚我也請部長到時候要講清楚不同的保險可以這樣子那當時我們是一個階段的勞保完畢下個階段是公保才可以分開計算合併給付你現在是同時有勞保又同時有農民退休這個儲金勞保對應的是農保啦他現在勞保就不能來保農保 |
transcript.whisperx[556].start |
14309.105 |
transcript.whisperx[556].end |
14336.2 |
transcript.whisperx[556].text |
但是他在農保的時候他沒有雇主嘛而且他是實際從事農業你的意思是他繼續保勞保然後繼續又可以這邊申請農民的退休儲金所以是兩個不同的保險他一定要從事農業勞保對應的是農保然後勞工的退休儲金對應的是農民退休儲金那他勞保可以繼續保嗎勞保繼續保啊農民退休儲金繼續儲嗎我們可以開放他可以加入 |
transcript.whisperx[557].start |
14337.23 |
transcript.whisperx[557].end |
14365.655 |
transcript.whisperx[557].text |
因為他實際從事農業這裡 這裡輕容一半喔 幾乎一半喔所以他可以做兩個工作投勞保是不是要有勞保的工作他是一個職業的工會去投保嘛職業工會 你在工會上你有等於說不管是你是個人的工作還是工作室 還是自由業反正你有投勞保的人 我跟委員說明一下喔像漁會 漁業的 從事漁業的有很多是勞保的喔很多是從事勞保 就是甲類會員的部分嘛 |
transcript.whisperx[558].start |
14366.335 |
transcript.whisperx[558].end |
14393.427 |
transcript.whisperx[558].text |
同樣的修法講清楚因為本席今天不是問這問題只是這個延伸樓會有很多的爭議的地方會有雙保不是兩保並行會有衝突的地方所以一定要注意一定要注意今天我們主席特別安排了這個我們農民的退休儲金的部分就是因為你們的 |
transcript.whisperx[559].start |
14394.688 |
transcript.whisperx[559].end |
14400.932 |
transcript.whisperx[559].text |
你們的執行率不好但是早上聽到委員聽到部長你特別有講到你有報告所以是母數的計算不一樣因為我們得到你們農業部給我們的資訊是28.7%的這個達成率那但是你的說母數不一樣你們達成了已經49%了那不要在數字上變化我們講實質確確的來執行的工作才是重要的 |
transcript.whisperx[560].start |
14423.168 |
transcript.whisperx[560].end |
14426.769 |
transcript.whisperx[560].text |
那不管怎麼樣講未滿65歲他們的農保人數這在這邊是大概達成的還是28.7啦將近5年的時間了那部長講說大概他的原因就是意願的問題還有就是說他們的能力問題投不了這麼高如果說勞基法的話我們現在是28590他如果說是10%的話要2859元 |
transcript.whisperx[561].start |
14451.178 |
transcript.whisperx[561].end |
14478.435 |
transcript.whisperx[561].text |
那有些人攪不起嘛所以他就沒有來投入那最重要還有一個問題就是他們的那個腦農津貼啊現在可以領多少錢8114元他也許說認為我8100塊夠了但是部長你們利益良善你希望他能夠一萬兩萬領多一點嘛所以希望他們的農民的這個退休儲金但是退休儲金的部分的話我們看到你的沒有達成執行率不彰的情況之下可能就是我們 |
transcript.whisperx[562].start |
14479.215 |
transcript.whisperx[562].end |
14499.162 |
transcript.whisperx[562].text |
提出的誘因不夠那當然我們有提到啦誘因要提高的話是不是你們對等這個提撥的金額可以提高甚至說可以1.5倍那部長說還要再研議嘛那這個研議的話我看你要下個月你就要提出來行政院版本了那你研議目前討論下來是不是願意支持這個方案 |
transcript.whisperx[563].start |
14499.522 |
transcript.whisperx[563].end |
14528.436 |
transcript.whisperx[563].text |
不過我想基本上委員所提的版本是1比1.5是把總額提高就是農民出100我們政府出150從100變成150這是一個方案那我們也提到另外一個想法就是說總額不變100對100但是過去農民交100現在只要交80或70這個我們要討論就是說它的負擔減輕了保障不變那也有可能這兩個案子可以某個程度的融合融合的部分這是一個部分 |
transcript.whisperx[564].start |
14529.349 |
transcript.whisperx[564].end |
14535.475 |
transcript.whisperx[564].text |
不管你怎麼融合農民的權益不能損失我絕對不會請你盡快提出來啦我們希望實質的來幫助農民不要讓農民覺得很辛苦的話就不耕農了因為現在青年要返鄉去雇農的話這個情況也不是很好 |
transcript.whisperx[565].start |
14547.867 |
transcript.whisperx[565].end |
14575.479 |
transcript.whisperx[565].text |
所以我們在地方上才會成立這個青農把我們做代耕的工作不用再交給電農由青農來做青農組團來做不管是耕種或是收割青農都有專業的包括還有科技智慧的技術都有來協助我們這部分的話也請部長要繼續支持我們的青農像尤其農機具這個部分就要支持他們他們有用無人機來灑農藥或是用機械來收成這部分都非常的好 |
transcript.whisperx[566].start |
14576.199 |
transcript.whisperx[566].end |
14600.22 |
transcript.whisperx[566].text |
我們農機的農事服務業現在推的也還不錯包括您桃園那邊有很多大的專業農來申請農機的服務所以除了他自己耕作以外他還服務別人所以我們農耕可以改善他的辛苦可以用科技上的一些技術跟設備來幫忙這點部分的話我們也希望部長能繼續支持他們可以加強在農機具方面好不好 |
transcript.whisperx[567].start |
14601.161 |
transcript.whisperx[567].end |
14626.274 |
transcript.whisperx[567].text |
好 接下來要請教的就是我們的移工的問題那現在我知道你們移工的人數有提高到2萬這2萬的話我們看看我們申請的制度上需不需要來檢討因為還很多人請不到這個農事的移工那尤其是說你們在這個小型的10人以下的跟我們的農企業的部分的話本勞跟外勞是1比1嘛對 本勞跟 |
transcript.whisperx[568].start |
14627.094 |
transcript.whisperx[568].end |
14637.541 |
transcript.whisperx[568].text |
移工是1比1 一個本勞就可以請一個移工那食人以上的小型農戶才會有35%但是現在還是缺很多移工 |
transcript.whisperx[569].start |
14646.326 |
transcript.whisperx[569].end |
14670.918 |
transcript.whisperx[569].text |
那部長你知道這個原因嗎我想第一個部分第一個部分就是移工申請來了以後的品項有的品項有開有的品項沒開那這個部分我們會滾動檢討第二個部分就是移工請來以後不是那麼單純白天做事晚上就讓他亂跑你如果自己自營的話你就要準備他的房子還要做一些管理吃住的地方對吃住的地方所以我們現在有請 |
transcript.whisperx[570].start |
14671.838 |
transcript.whisperx[570].end |
14695.402 |
transcript.whisperx[570].text |
那個農會去協助變成一個外展的部分那這個部分我們會加強還有一個就是移工那時候外展的部分只能在同一個縣市嘛有時候我們收割的時候是有跨縣市的從南到北所以我們在研議就是跨縣跨區跨區的部分所以很多問題就是我們遇到了我們就想辦法去解決讓農民來這個我想我們會持續來滾動檢討 |
transcript.whisperx[571].start |
14698.223 |
transcript.whisperx[571].end |
14720.862 |
transcript.whisperx[571].text |
OK 部長你剛剛提到了外展你知道外展的特性是什麼嗎外展的特性就是它的技術 你喜歡講技術 外展的技術是什麼沒有 它會根據你的用工的單位本身所需要的勞力的種植生產的技術所以會不一樣會用農漁會來做申請嘛用農漁會 為什麼用農漁會申請 |
transcript.whisperx[572].start |
14726.018 |
transcript.whisperx[572].end |
14745.423 |
transcript.whisperx[572].text |
沒有 合作社也可以啊合作社也可以那因為部長你剛才談到少了一個問題我們很多的農作是季節性的是所以如果你請這個移工的話我不需要12個月都在做事是好 也許做三個月 休三個月做三個月 休三個月有這種情形所以很多 |
transcript.whisperx[573].start |
14748.504 |
transcript.whisperx[573].end |
14765.733 |
transcript.whisperx[573].text |
小戶的那個農戶的話他們也許用電農幫忙耕作就可以了那現在電農工資上漲了2000塊以上他們有時候收成起來又比例上的話覺得收入不好也沒有辦法做就會影響到他們請電農的 |
transcript.whisperx[574].start |
14767.714 |
transcript.whisperx[574].end |
14780.069 |
transcript.whisperx[574].text |
意願所以就辦休耕就有休耕期發生那現在你有這兩個制度方面的話那因為原額的話你剛剛提了高到兩萬那這兩萬裡面的話但是你又不是實質的數量 |
transcript.whisperx[575].start |
14781.96 |
transcript.whisperx[575].end |
14801.235 |
transcript.whisperx[575].text |
又不是實質的數量 本席有查了一些資料齁看到你們那個 這個原額 我們第一個講到這個原額不夠還有你的制度 1對1的就是外展部分跟10人以下的部分 是1比1的方式那你如果說是10人以上的部分的話是35%但是這原額還是不夠 遠遠還是不夠因為有些的是屬於大戶的農戶嘛 |
transcript.whisperx[576].start |
14807.199 |
transcript.whisperx[576].end |
14836.782 |
transcript.whisperx[576].text |
他有些的外銷的他做多的有機蔬菜或者是他有什麼水果大量要出口的他農業的一些移工就還是不夠所以制度上你必須要去做調整喔那還有說你增加到兩萬人那本期查了一些資料喔這兩萬人裡面現有的這個移工喔一萬一千兩百零五人失聯的有兩千零一十九人輸出的有三百八十五人回國的回去他們國家的回國的有一千五百三十三人 |
transcript.whisperx[577].start |
14837.422 |
transcript.whisperx[577].end |
14849.958 |
transcript.whisperx[577].text |
為什麼要把他們算在兩萬人以內他已經四年轉出會回國啦我們現在要講限職部分我們要提高到兩萬人啊我跟委員報告喔您這個資訊就是勞動部都是用累計的啦用累計的部分像回國的就扣掉了啦 |
transcript.whisperx[578].start |
14854.924 |
transcript.whisperx[578].end |
14882.512 |
transcript.whisperx[578].text |
必須要扣掉 肥農一定會扣掉 轉出也會扣掉就是實際在從事農業的我們才會去算現在大概是一萬五千多人一萬五千多人我們核准是兩萬人 但是有申請然後正在申請的 現在在職的在職大概一萬五千多人所以後續跟委員講的這個部分包括移工的部分 季節性的部分所以為什麼我們要找農會因為農會可以服務更多的不同的農作物的產業所以 |
transcript.whisperx[579].start |
14884.252 |
transcript.whisperx[579].end |
14901.868 |
transcript.whisperx[579].text |
不是啊 我剛剛跟你講的制度面就是要討論到農會的部分農會如果他的員工50人他的隊長就可以申請50人但是你在這個區域裡面的話這50個人他還不夠用啊沒有 所以我要去想辦法去爭取他現在是1比3嘛想辦法變成1比2這樣的話他就可以聘的更多 |
transcript.whisperx[580].start |
14903.186 |
transcript.whisperx[580].end |
14920.025 |
transcript.whisperx[580].text |
有1比2不是1比1嗎沒有1比1是10人以下就是1比1那你比例怎麼調你1比2怎麼調的我們希望說更多他可以有本勞一個人可以顧兩個是所以這個還沒有公布實施沒有我們這個要去爭取 |
transcript.whisperx[581].start |
14920.586 |
transcript.whisperx[581].end |
14939.816 |
transcript.whisperx[581].text |
所以未來你會公布實施所以你也發現問題了所以你要做個調整對不對這樣的話他可以聘更多人那部長有發現這個問題的話趕快做調整來公布讓我們的農民可以繼續把我們的農作物做得更好好不好農民權益一定要捍衛的請委員支持啦好一定會支持你做調整出來盡快送來好不好好謝謝 |
transcript.whisperx[582].start |
14943.078 |
transcript.whisperx[582].end |
14967.781 |
transcript.whisperx[582].text |
现在请林楚英委员做询答林楚英委员不在林楚英委员不在现在请赖会员委员做询答赖会员委员赖会员委员不在现在请徐新颖委员做询答徐新颖委员徐新颖委员不在现在请苏星泉委员做询答苏星泉委员苏星泉委员不在现在请何兴纯委员做询答何兴纯委员何兴纯委员不在现在请罗明才委员做询答罗明才委员罗明才委员不在 |
transcript.whisperx[583].start |
14968.522 |
transcript.whisperx[583].end |
14987.27 |
transcript.whisperx[583].text |
登記發言委員除不在場外其餘經理發言完畢詢答結束書面質詢和為及答覆部分請相關單位於一週內以書面答覆並複製本會本日議程詢答完畢謝謝大家散會另外折期再繼續審查 |