IVOD_ID |
15870 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15870 |
日期 |
2024-05-02 |
會議資料.會議代碼 |
聯席會議-11-1-20,15,19,22,23,26-1 |
會議資料.會議代碼:str |
第11屆第1會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
1 |
會議資料.種類 |
聯席會議 |
會議資料.委員會代碼[0] |
20 |
會議資料.委員會代碼[1] |
15 |
會議資料.委員會代碼[2] |
19 |
會議資料.委員會代碼[3] |
22 |
會議資料.委員會代碼[4] |
23 |
會議資料.委員會代碼[5] |
26 |
會議資料.委員會代碼:str[0] |
財政委員會 |
會議資料.委員會代碼:str[1] |
內政委員會 |
會議資料.委員會代碼:str[2] |
經濟委員會 |
會議資料.委員會代碼:str[3] |
教育及文化委員會 |
會議資料.委員會代碼:str[4] |
交通委員會 |
會議資料.委員會代碼:str[5] |
社會福利及衛生環境委員會 |
會議資料.標題 |
立法院第11屆第1會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議 |
影片種類 |
Full |
開始時間 |
2024-05-02T08:31:47+08:00 |
結束時間 |
2024-05-02T15:46:00+08:00 |
影片長度 |
07:14:13 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528ee1784ed6585ee25e7931ae751f1d07213be8d109af184be4d4d847a5362be9aa5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-05-02T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期財政、內政、經濟、教育及文化、交通、社會福利及衛生環境委員會第1次聯席會議(事由:審查或處理「中央政府前瞻基礎建設計畫第4期特別預算(112至113年度)」及「中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算」決議:
一、有關教育部主管預算凍結書面報告案4案。
二、有關經濟部主管預算凍結書面報告案9案。
三、有關交通部主管預算凍結書面報告案14案。
四、有關行政院農業委員會主管預算凍結書面報告案3案。
五、有關衛生福利部主管預算凍結書面報告案11案。
六、有關文化部主管預算凍結書面報告案1案。
七、有關數位發展部主管預算凍結書面報告案7案。
八、有關原住民族委員會預算凍結書面報告案1案。
九、有關內政部主管預算凍結書面報告案3案。
十、有關行政院環境保護署預算凍結書面報告案1案。
十一、有關國家科學及技術委員會主管預算凍結書面報告案2案。) |
委員名稱 |
完整會議 |
委員發言時間 |
08:31:47 - 15:46:00 |
transcript.pyannote[0].speaker |
SPEAKER_16 |
transcript.pyannote[0].start |
1834.98471875 |
transcript.pyannote[0].end |
1836.13221875 |
transcript.pyannote[1].speaker |
SPEAKER_42 |
transcript.pyannote[1].start |
1836.13221875 |
transcript.pyannote[1].end |
1837.02659375 |
transcript.pyannote[2].speaker |
SPEAKER_43 |
transcript.pyannote[2].start |
1837.02659375 |
transcript.pyannote[2].end |
1837.65096875 |
transcript.pyannote[3].speaker |
SPEAKER_42 |
transcript.pyannote[3].start |
1837.65096875 |
transcript.pyannote[3].end |
1837.78596875 |
transcript.pyannote[4].speaker |
SPEAKER_43 |
transcript.pyannote[4].start |
1837.78596875 |
transcript.pyannote[4].end |
1839.11909375 |
transcript.pyannote[5].speaker |
SPEAKER_43 |
transcript.pyannote[5].start |
1840.45221875 |
transcript.pyannote[5].end |
1843.16909375 |
transcript.pyannote[6].speaker |
SPEAKER_16 |
transcript.pyannote[6].start |
1844.48534375 |
transcript.pyannote[6].end |
1847.50596875 |
transcript.pyannote[7].speaker |
SPEAKER_43 |
transcript.pyannote[7].start |
1847.82659375 |
transcript.pyannote[7].end |
1852.21409375 |
transcript.pyannote[8].speaker |
SPEAKER_08 |
transcript.pyannote[8].start |
1854.00284375 |
transcript.pyannote[8].end |
1906.26471875 |
transcript.pyannote[9].speaker |
SPEAKER_40 |
transcript.pyannote[9].start |
1907.47971875 |
transcript.pyannote[9].end |
1907.49659375 |
transcript.pyannote[10].speaker |
SPEAKER_43 |
transcript.pyannote[10].start |
1907.49659375 |
transcript.pyannote[10].end |
1910.97284375 |
transcript.pyannote[11].speaker |
SPEAKER_40 |
transcript.pyannote[11].start |
1910.97284375 |
transcript.pyannote[11].end |
1911.02346875 |
transcript.pyannote[12].speaker |
SPEAKER_43 |
transcript.pyannote[12].start |
1911.02346875 |
transcript.pyannote[12].end |
1911.96846875 |
transcript.pyannote[13].speaker |
SPEAKER_40 |
transcript.pyannote[13].start |
1911.96846875 |
transcript.pyannote[13].end |
1912.03596875 |
transcript.pyannote[14].speaker |
SPEAKER_43 |
transcript.pyannote[14].start |
1912.03596875 |
transcript.pyannote[14].end |
1916.77784375 |
transcript.pyannote[15].speaker |
SPEAKER_43 |
transcript.pyannote[15].start |
1918.87034375 |
transcript.pyannote[15].end |
1920.64221875 |
transcript.pyannote[16].speaker |
SPEAKER_43 |
transcript.pyannote[16].start |
1922.81909375 |
transcript.pyannote[16].end |
1924.01721875 |
transcript.pyannote[17].speaker |
SPEAKER_43 |
transcript.pyannote[17].start |
1927.79721875 |
transcript.pyannote[17].end |
1932.16784375 |
transcript.pyannote[18].speaker |
SPEAKER_43 |
transcript.pyannote[18].start |
1934.19284375 |
transcript.pyannote[18].end |
1935.01971875 |
transcript.pyannote[19].speaker |
SPEAKER_43 |
transcript.pyannote[19].start |
1935.81284375 |
transcript.pyannote[19].end |
1937.17971875 |
transcript.pyannote[20].speaker |
SPEAKER_43 |
transcript.pyannote[20].start |
1939.72784375 |
transcript.pyannote[20].end |
1941.75284375 |
transcript.pyannote[21].speaker |
SPEAKER_43 |
transcript.pyannote[21].start |
1945.78596875 |
transcript.pyannote[21].end |
1948.11471875 |
transcript.pyannote[22].speaker |
SPEAKER_43 |
transcript.pyannote[22].start |
1950.56159375 |
transcript.pyannote[22].end |
1951.45596875 |
transcript.pyannote[23].speaker |
SPEAKER_43 |
transcript.pyannote[23].start |
1952.11409375 |
transcript.pyannote[23].end |
1953.43034375 |
transcript.pyannote[24].speaker |
SPEAKER_43 |
transcript.pyannote[24].start |
1958.40846875 |
transcript.pyannote[24].end |
1959.38721875 |
transcript.pyannote[25].speaker |
SPEAKER_43 |
transcript.pyannote[25].start |
1959.80909375 |
transcript.pyannote[25].end |
1960.60221875 |
transcript.pyannote[26].speaker |
SPEAKER_43 |
transcript.pyannote[26].start |
1961.17596875 |
transcript.pyannote[26].end |
1961.51346875 |
transcript.pyannote[27].speaker |
SPEAKER_43 |
transcript.pyannote[27].start |
1961.85096875 |
transcript.pyannote[27].end |
1962.72846875 |
transcript.pyannote[28].speaker |
SPEAKER_43 |
transcript.pyannote[28].start |
1963.45409375 |
transcript.pyannote[28].end |
1964.65221875 |
transcript.pyannote[29].speaker |
SPEAKER_43 |
transcript.pyannote[29].start |
1967.58846875 |
transcript.pyannote[29].end |
1969.63034375 |
transcript.pyannote[30].speaker |
SPEAKER_43 |
transcript.pyannote[30].start |
1972.85346875 |
transcript.pyannote[30].end |
1975.19909375 |
transcript.pyannote[31].speaker |
SPEAKER_43 |
transcript.pyannote[31].start |
1977.88221875 |
transcript.pyannote[31].end |
1980.93659375 |
transcript.pyannote[32].speaker |
SPEAKER_43 |
transcript.pyannote[32].start |
1982.35409375 |
transcript.pyannote[32].end |
1984.75034375 |
transcript.pyannote[33].speaker |
SPEAKER_43 |
transcript.pyannote[33].start |
1986.70784375 |
transcript.pyannote[33].end |
1988.98596875 |
transcript.pyannote[34].speaker |
SPEAKER_43 |
transcript.pyannote[34].start |
1992.02346875 |
transcript.pyannote[34].end |
1995.41534375 |
transcript.pyannote[35].speaker |
SPEAKER_43 |
transcript.pyannote[35].start |
1997.60909375 |
transcript.pyannote[35].end |
1998.62159375 |
transcript.pyannote[36].speaker |
SPEAKER_43 |
transcript.pyannote[36].start |
1999.58346875 |
transcript.pyannote[36].end |
2007.54846875 |
transcript.pyannote[37].speaker |
SPEAKER_43 |
transcript.pyannote[37].start |
2008.40909375 |
transcript.pyannote[37].end |
2013.64034375 |
transcript.pyannote[38].speaker |
SPEAKER_43 |
transcript.pyannote[38].start |
2014.36596875 |
transcript.pyannote[38].end |
2031.20721875 |
transcript.pyannote[39].speaker |
SPEAKER_08 |
transcript.pyannote[39].start |
2033.67096875 |
transcript.pyannote[39].end |
2042.54721875 |
transcript.pyannote[40].speaker |
SPEAKER_08 |
transcript.pyannote[40].start |
2043.25596875 |
transcript.pyannote[40].end |
2055.76034375 |
transcript.pyannote[41].speaker |
SPEAKER_08 |
transcript.pyannote[41].start |
2056.36784375 |
transcript.pyannote[41].end |
2056.85721875 |
transcript.pyannote[42].speaker |
SPEAKER_08 |
transcript.pyannote[42].start |
2057.11034375 |
transcript.pyannote[42].end |
2093.35784375 |
transcript.pyannote[43].speaker |
SPEAKER_08 |
transcript.pyannote[43].start |
2093.91471875 |
transcript.pyannote[43].end |
2096.19284375 |
transcript.pyannote[44].speaker |
SPEAKER_08 |
transcript.pyannote[44].start |
2096.42909375 |
transcript.pyannote[44].end |
2146.66596875 |
transcript.pyannote[45].speaker |
SPEAKER_08 |
transcript.pyannote[45].start |
2146.80096875 |
transcript.pyannote[45].end |
2151.07034375 |
transcript.pyannote[46].speaker |
SPEAKER_08 |
transcript.pyannote[46].start |
2151.82971875 |
transcript.pyannote[46].end |
2165.38034375 |
transcript.pyannote[47].speaker |
SPEAKER_08 |
transcript.pyannote[47].start |
2166.37596875 |
transcript.pyannote[47].end |
2218.62096875 |
transcript.pyannote[48].speaker |
SPEAKER_08 |
transcript.pyannote[48].start |
2219.71784375 |
transcript.pyannote[48].end |
2269.11096875 |
transcript.pyannote[49].speaker |
SPEAKER_43 |
transcript.pyannote[49].start |
2271.05159375 |
transcript.pyannote[49].end |
2276.02971875 |
transcript.pyannote[50].speaker |
SPEAKER_43 |
transcript.pyannote[50].start |
2277.32909375 |
transcript.pyannote[50].end |
2281.85159375 |
transcript.pyannote[51].speaker |
SPEAKER_43 |
transcript.pyannote[51].start |
2283.67409375 |
transcript.pyannote[51].end |
2286.05346875 |
transcript.pyannote[52].speaker |
SPEAKER_43 |
transcript.pyannote[52].start |
2286.57659375 |
transcript.pyannote[52].end |
2294.15346875 |
transcript.pyannote[53].speaker |
SPEAKER_43 |
transcript.pyannote[53].start |
2294.50784375 |
transcript.pyannote[53].end |
2294.82846875 |
transcript.pyannote[54].speaker |
SPEAKER_43 |
transcript.pyannote[54].start |
2297.52846875 |
transcript.pyannote[54].end |
2297.83221875 |
transcript.pyannote[55].speaker |
SPEAKER_43 |
transcript.pyannote[55].start |
2300.54909375 |
transcript.pyannote[55].end |
2301.00471875 |
transcript.pyannote[56].speaker |
SPEAKER_43 |
transcript.pyannote[56].start |
2301.39284375 |
transcript.pyannote[56].end |
2304.22784375 |
transcript.pyannote[57].speaker |
SPEAKER_43 |
transcript.pyannote[57].start |
2305.67909375 |
transcript.pyannote[57].end |
2312.59784375 |
transcript.pyannote[58].speaker |
SPEAKER_43 |
transcript.pyannote[58].start |
2312.64846875 |
transcript.pyannote[58].end |
2313.49221875 |
transcript.pyannote[59].speaker |
SPEAKER_43 |
transcript.pyannote[59].start |
2313.94784375 |
transcript.pyannote[59].end |
2316.52971875 |
transcript.pyannote[60].speaker |
SPEAKER_43 |
transcript.pyannote[60].start |
2317.08659375 |
transcript.pyannote[60].end |
2319.76971875 |
transcript.pyannote[61].speaker |
SPEAKER_43 |
transcript.pyannote[61].start |
2319.90471875 |
transcript.pyannote[61].end |
2321.27159375 |
transcript.pyannote[62].speaker |
SPEAKER_43 |
transcript.pyannote[62].start |
2321.79471875 |
transcript.pyannote[62].end |
2322.62159375 |
transcript.pyannote[63].speaker |
SPEAKER_43 |
transcript.pyannote[63].start |
2323.09409375 |
transcript.pyannote[63].end |
2330.77221875 |
transcript.pyannote[64].speaker |
SPEAKER_43 |
transcript.pyannote[64].start |
2331.86909375 |
transcript.pyannote[64].end |
2333.21909375 |
transcript.pyannote[65].speaker |
SPEAKER_43 |
transcript.pyannote[65].start |
2333.57346875 |
transcript.pyannote[65].end |
2348.60909375 |
transcript.pyannote[66].speaker |
SPEAKER_08 |
transcript.pyannote[66].start |
2355.86534375 |
transcript.pyannote[66].end |
2366.05784375 |
transcript.pyannote[67].speaker |
SPEAKER_08 |
transcript.pyannote[67].start |
2366.69909375 |
transcript.pyannote[67].end |
2410.84409375 |
transcript.pyannote[68].speaker |
SPEAKER_08 |
transcript.pyannote[68].start |
2411.63721875 |
transcript.pyannote[68].end |
2420.15909375 |
transcript.pyannote[69].speaker |
SPEAKER_08 |
transcript.pyannote[69].start |
2420.58096875 |
transcript.pyannote[69].end |
2446.61909375 |
transcript.pyannote[70].speaker |
SPEAKER_08 |
transcript.pyannote[70].start |
2447.27721875 |
transcript.pyannote[70].end |
2463.25784375 |
transcript.pyannote[71].speaker |
SPEAKER_08 |
transcript.pyannote[71].start |
2463.93284375 |
transcript.pyannote[71].end |
2486.14034375 |
transcript.pyannote[72].speaker |
SPEAKER_08 |
transcript.pyannote[72].start |
2486.54534375 |
transcript.pyannote[72].end |
2520.29534375 |
transcript.pyannote[73].speaker |
SPEAKER_08 |
transcript.pyannote[73].start |
2520.64971875 |
transcript.pyannote[73].end |
2527.43346875 |
transcript.pyannote[74].speaker |
SPEAKER_08 |
transcript.pyannote[74].start |
2528.04096875 |
transcript.pyannote[74].end |
2533.50846875 |
transcript.pyannote[75].speaker |
SPEAKER_08 |
transcript.pyannote[75].start |
2533.66034375 |
transcript.pyannote[75].end |
2553.35346875 |
transcript.pyannote[76].speaker |
SPEAKER_08 |
transcript.pyannote[76].start |
2554.12971875 |
transcript.pyannote[76].end |
2555.63159375 |
transcript.pyannote[77].speaker |
SPEAKER_08 |
transcript.pyannote[77].start |
2556.17159375 |
transcript.pyannote[77].end |
2570.05971875 |
transcript.pyannote[78].speaker |
SPEAKER_08 |
transcript.pyannote[78].start |
2570.32971875 |
transcript.pyannote[78].end |
2584.36971875 |
transcript.pyannote[79].speaker |
SPEAKER_43 |
transcript.pyannote[79].start |
2584.36971875 |
transcript.pyannote[79].end |
2584.38659375 |
transcript.pyannote[80].speaker |
SPEAKER_08 |
transcript.pyannote[80].start |
2585.46659375 |
transcript.pyannote[80].end |
2585.48346875 |
transcript.pyannote[81].speaker |
SPEAKER_43 |
transcript.pyannote[81].start |
2585.48346875 |
transcript.pyannote[81].end |
2585.85471875 |
transcript.pyannote[82].speaker |
SPEAKER_43 |
transcript.pyannote[82].start |
2585.93909375 |
transcript.pyannote[82].end |
2586.86721875 |
transcript.pyannote[83].speaker |
SPEAKER_43 |
transcript.pyannote[83].start |
2586.96846875 |
transcript.pyannote[83].end |
2587.05284375 |
transcript.pyannote[84].speaker |
SPEAKER_43 |
transcript.pyannote[84].start |
2587.15409375 |
transcript.pyannote[84].end |
2599.38846875 |
transcript.pyannote[85].speaker |
SPEAKER_43 |
transcript.pyannote[85].start |
2600.29971875 |
transcript.pyannote[85].end |
2605.73346875 |
transcript.pyannote[86].speaker |
SPEAKER_43 |
transcript.pyannote[86].start |
2605.95284375 |
transcript.pyannote[86].end |
2606.34096875 |
transcript.pyannote[87].speaker |
SPEAKER_43 |
transcript.pyannote[87].start |
2606.77971875 |
transcript.pyannote[87].end |
2629.34159375 |
transcript.pyannote[88].speaker |
SPEAKER_43 |
transcript.pyannote[88].start |
2629.74659375 |
transcript.pyannote[88].end |
2633.44221875 |
transcript.pyannote[89].speaker |
SPEAKER_48 |
transcript.pyannote[89].start |
2643.36471875 |
transcript.pyannote[89].end |
2644.90034375 |
transcript.pyannote[90].speaker |
SPEAKER_48 |
transcript.pyannote[90].start |
2645.32221875 |
transcript.pyannote[90].end |
2664.66096875 |
transcript.pyannote[91].speaker |
SPEAKER_48 |
transcript.pyannote[91].start |
2664.91409375 |
transcript.pyannote[91].end |
2681.26596875 |
transcript.pyannote[92].speaker |
SPEAKER_48 |
transcript.pyannote[92].start |
2681.53596875 |
transcript.pyannote[92].end |
2708.65409375 |
transcript.pyannote[93].speaker |
SPEAKER_48 |
transcript.pyannote[93].start |
2709.02534375 |
transcript.pyannote[93].end |
2713.17659375 |
transcript.pyannote[94].speaker |
SPEAKER_48 |
transcript.pyannote[94].start |
2713.49721875 |
transcript.pyannote[94].end |
2720.80409375 |
transcript.pyannote[95].speaker |
SPEAKER_48 |
transcript.pyannote[95].start |
2720.92221875 |
transcript.pyannote[95].end |
2726.72721875 |
transcript.pyannote[96].speaker |
SPEAKER_48 |
transcript.pyannote[96].start |
2727.36846875 |
transcript.pyannote[96].end |
2730.79409375 |
transcript.pyannote[97].speaker |
SPEAKER_48 |
transcript.pyannote[97].start |
2731.23284375 |
transcript.pyannote[97].end |
2736.63284375 |
transcript.pyannote[98].speaker |
SPEAKER_48 |
transcript.pyannote[98].start |
2737.00409375 |
transcript.pyannote[98].end |
2738.72534375 |
transcript.pyannote[99].speaker |
SPEAKER_48 |
transcript.pyannote[99].start |
2739.55221875 |
transcript.pyannote[99].end |
2768.23971875 |
transcript.pyannote[100].speaker |
SPEAKER_48 |
transcript.pyannote[100].start |
2768.47596875 |
transcript.pyannote[100].end |
2793.16409375 |
transcript.pyannote[101].speaker |
SPEAKER_48 |
transcript.pyannote[101].start |
2793.94034375 |
transcript.pyannote[101].end |
2830.22159375 |
transcript.pyannote[102].speaker |
SPEAKER_48 |
transcript.pyannote[102].start |
2830.84596875 |
transcript.pyannote[102].end |
2834.60909375 |
transcript.pyannote[103].speaker |
SPEAKER_48 |
transcript.pyannote[103].start |
2835.53721875 |
transcript.pyannote[103].end |
2844.75096875 |
transcript.pyannote[104].speaker |
SPEAKER_48 |
transcript.pyannote[104].start |
2845.18971875 |
transcript.pyannote[104].end |
2857.44096875 |
transcript.pyannote[105].speaker |
SPEAKER_48 |
transcript.pyannote[105].start |
2857.76159375 |
transcript.pyannote[105].end |
2863.16159375 |
transcript.pyannote[106].speaker |
SPEAKER_48 |
transcript.pyannote[106].start |
2863.66784375 |
transcript.pyannote[106].end |
2867.70096875 |
transcript.pyannote[107].speaker |
SPEAKER_48 |
transcript.pyannote[107].start |
2868.22409375 |
transcript.pyannote[107].end |
2877.52221875 |
transcript.pyannote[108].speaker |
SPEAKER_48 |
transcript.pyannote[108].start |
2878.07909375 |
transcript.pyannote[108].end |
2887.69784375 |
transcript.pyannote[109].speaker |
SPEAKER_48 |
transcript.pyannote[109].start |
2888.06909375 |
transcript.pyannote[109].end |
2902.10909375 |
transcript.pyannote[110].speaker |
SPEAKER_48 |
transcript.pyannote[110].start |
2902.75034375 |
transcript.pyannote[110].end |
2913.49971875 |
transcript.pyannote[111].speaker |
SPEAKER_48 |
transcript.pyannote[111].start |
2913.80346875 |
transcript.pyannote[111].end |
2926.03784375 |
transcript.pyannote[112].speaker |
SPEAKER_48 |
transcript.pyannote[112].start |
2926.10534375 |
transcript.pyannote[112].end |
2928.67034375 |
transcript.pyannote[113].speaker |
SPEAKER_48 |
transcript.pyannote[113].start |
2928.90659375 |
transcript.pyannote[113].end |
2935.45409375 |
transcript.pyannote[114].speaker |
SPEAKER_48 |
transcript.pyannote[114].start |
2935.92659375 |
transcript.pyannote[114].end |
2938.67721875 |
transcript.pyannote[115].speaker |
SPEAKER_48 |
transcript.pyannote[115].start |
2939.04846875 |
transcript.pyannote[115].end |
2945.19096875 |
transcript.pyannote[116].speaker |
SPEAKER_48 |
transcript.pyannote[116].start |
2945.42721875 |
transcript.pyannote[116].end |
2947.38471875 |
transcript.pyannote[117].speaker |
SPEAKER_48 |
transcript.pyannote[117].start |
2947.65471875 |
transcript.pyannote[117].end |
2985.28596875 |
transcript.pyannote[118].speaker |
SPEAKER_48 |
transcript.pyannote[118].start |
2985.69096875 |
transcript.pyannote[118].end |
2985.70784375 |
transcript.pyannote[119].speaker |
SPEAKER_41 |
transcript.pyannote[119].start |
2985.70784375 |
transcript.pyannote[119].end |
2990.39909375 |
transcript.pyannote[120].speaker |
SPEAKER_47 |
transcript.pyannote[120].start |
2998.66784375 |
transcript.pyannote[120].end |
3041.02409375 |
transcript.pyannote[121].speaker |
SPEAKER_47 |
transcript.pyannote[121].start |
3041.09159375 |
transcript.pyannote[121].end |
3108.33846875 |
transcript.pyannote[122].speaker |
SPEAKER_47 |
transcript.pyannote[122].start |
3108.77721875 |
transcript.pyannote[122].end |
3129.61784375 |
transcript.pyannote[123].speaker |
SPEAKER_47 |
transcript.pyannote[123].start |
3130.19159375 |
transcript.pyannote[123].end |
3149.20971875 |
transcript.pyannote[124].speaker |
SPEAKER_47 |
transcript.pyannote[124].start |
3149.36159375 |
transcript.pyannote[124].end |
3152.65221875 |
transcript.pyannote[125].speaker |
SPEAKER_47 |
transcript.pyannote[125].start |
3153.52971875 |
transcript.pyannote[125].end |
3162.49034375 |
transcript.pyannote[126].speaker |
SPEAKER_47 |
transcript.pyannote[126].start |
3162.91221875 |
transcript.pyannote[126].end |
3238.00596875 |
transcript.pyannote[127].speaker |
SPEAKER_47 |
transcript.pyannote[127].start |
3238.19159375 |
transcript.pyannote[127].end |
3297.27096875 |
transcript.pyannote[128].speaker |
SPEAKER_43 |
transcript.pyannote[128].start |
3297.27096875 |
transcript.pyannote[128].end |
3297.30471875 |
transcript.pyannote[129].speaker |
SPEAKER_47 |
transcript.pyannote[129].start |
3297.30471875 |
transcript.pyannote[129].end |
3297.35534375 |
transcript.pyannote[130].speaker |
SPEAKER_47 |
transcript.pyannote[130].start |
3297.84471875 |
transcript.pyannote[130].end |
3297.89534375 |
transcript.pyannote[131].speaker |
SPEAKER_43 |
transcript.pyannote[131].start |
3297.89534375 |
transcript.pyannote[131].end |
3308.44221875 |
transcript.pyannote[132].speaker |
SPEAKER_43 |
transcript.pyannote[132].start |
3308.66159375 |
transcript.pyannote[132].end |
3310.73721875 |
transcript.pyannote[133].speaker |
SPEAKER_43 |
transcript.pyannote[133].start |
3311.41221875 |
transcript.pyannote[133].end |
3312.37409375 |
transcript.pyannote[134].speaker |
SPEAKER_43 |
transcript.pyannote[134].start |
3312.71159375 |
transcript.pyannote[134].end |
3318.31409375 |
transcript.pyannote[135].speaker |
SPEAKER_34 |
transcript.pyannote[135].start |
3333.19784375 |
transcript.pyannote[135].end |
3334.39596875 |
transcript.pyannote[136].speaker |
SPEAKER_34 |
transcript.pyannote[136].start |
3334.85159375 |
transcript.pyannote[136].end |
3337.50096875 |
transcript.pyannote[137].speaker |
SPEAKER_34 |
transcript.pyannote[137].start |
3338.29409375 |
transcript.pyannote[137].end |
3338.34471875 |
transcript.pyannote[138].speaker |
SPEAKER_43 |
transcript.pyannote[138].start |
3338.34471875 |
transcript.pyannote[138].end |
3338.91846875 |
transcript.pyannote[139].speaker |
SPEAKER_34 |
transcript.pyannote[139].start |
3338.91846875 |
transcript.pyannote[139].end |
3338.96909375 |
transcript.pyannote[140].speaker |
SPEAKER_43 |
transcript.pyannote[140].start |
3338.96909375 |
transcript.pyannote[140].end |
3340.01534375 |
transcript.pyannote[141].speaker |
SPEAKER_34 |
transcript.pyannote[141].start |
3340.01534375 |
transcript.pyannote[141].end |
3340.03221875 |
transcript.pyannote[142].speaker |
SPEAKER_34 |
transcript.pyannote[142].start |
3351.91221875 |
transcript.pyannote[142].end |
3385.66221875 |
transcript.pyannote[143].speaker |
SPEAKER_34 |
transcript.pyannote[143].start |
3385.78034375 |
transcript.pyannote[143].end |
3410.31659375 |
transcript.pyannote[144].speaker |
SPEAKER_34 |
transcript.pyannote[144].start |
3410.77221875 |
transcript.pyannote[144].end |
3411.39659375 |
transcript.pyannote[145].speaker |
SPEAKER_34 |
transcript.pyannote[145].start |
3411.75096875 |
transcript.pyannote[145].end |
3413.38784375 |
transcript.pyannote[146].speaker |
SPEAKER_11 |
transcript.pyannote[146].start |
3413.47221875 |
transcript.pyannote[146].end |
3416.03721875 |
transcript.pyannote[147].speaker |
SPEAKER_37 |
transcript.pyannote[147].start |
3416.03721875 |
transcript.pyannote[147].end |
3428.50784375 |
transcript.pyannote[148].speaker |
SPEAKER_34 |
transcript.pyannote[148].start |
3426.93846875 |
transcript.pyannote[148].end |
3455.76096875 |
transcript.pyannote[149].speaker |
SPEAKER_34 |
transcript.pyannote[149].start |
3455.96346875 |
transcript.pyannote[149].end |
3456.55409375 |
transcript.pyannote[150].speaker |
SPEAKER_34 |
transcript.pyannote[150].start |
3456.95909375 |
transcript.pyannote[150].end |
3458.59596875 |
transcript.pyannote[151].speaker |
SPEAKER_37 |
transcript.pyannote[151].start |
3458.59596875 |
transcript.pyannote[151].end |
3467.97846875 |
transcript.pyannote[152].speaker |
SPEAKER_34 |
transcript.pyannote[152].start |
3467.97846875 |
transcript.pyannote[152].end |
3470.39159375 |
transcript.pyannote[153].speaker |
SPEAKER_34 |
transcript.pyannote[153].start |
3470.67846875 |
transcript.pyannote[153].end |
3512.17409375 |
transcript.pyannote[154].speaker |
SPEAKER_34 |
transcript.pyannote[154].start |
3512.56221875 |
transcript.pyannote[154].end |
3517.89471875 |
transcript.pyannote[155].speaker |
SPEAKER_34 |
transcript.pyannote[155].start |
3518.63721875 |
transcript.pyannote[155].end |
3519.36284375 |
transcript.pyannote[156].speaker |
SPEAKER_37 |
transcript.pyannote[156].start |
3519.41346875 |
transcript.pyannote[156].end |
3554.02409375 |
transcript.pyannote[157].speaker |
SPEAKER_34 |
transcript.pyannote[157].start |
3554.02409375 |
transcript.pyannote[157].end |
3592.22909375 |
transcript.pyannote[158].speaker |
SPEAKER_37 |
transcript.pyannote[158].start |
3592.22909375 |
transcript.pyannote[158].end |
3613.67721875 |
transcript.pyannote[159].speaker |
SPEAKER_34 |
transcript.pyannote[159].start |
3613.67721875 |
transcript.pyannote[159].end |
3613.69409375 |
transcript.pyannote[160].speaker |
SPEAKER_37 |
transcript.pyannote[160].start |
3614.80784375 |
transcript.pyannote[160].end |
3617.03534375 |
transcript.pyannote[161].speaker |
SPEAKER_34 |
transcript.pyannote[161].start |
3617.03534375 |
transcript.pyannote[161].end |
3625.59096875 |
transcript.pyannote[162].speaker |
SPEAKER_37 |
transcript.pyannote[162].start |
3619.21221875 |
transcript.pyannote[162].end |
3619.70159375 |
transcript.pyannote[163].speaker |
SPEAKER_34 |
transcript.pyannote[163].start |
3626.19846875 |
transcript.pyannote[163].end |
3630.97409375 |
transcript.pyannote[164].speaker |
SPEAKER_37 |
transcript.pyannote[164].start |
3630.24846875 |
transcript.pyannote[164].end |
3653.09721875 |
transcript.pyannote[165].speaker |
SPEAKER_34 |
transcript.pyannote[165].start |
3653.09721875 |
transcript.pyannote[165].end |
3665.73659375 |
transcript.pyannote[166].speaker |
SPEAKER_34 |
transcript.pyannote[166].start |
3666.64784375 |
transcript.pyannote[166].end |
3691.63971875 |
transcript.pyannote[167].speaker |
SPEAKER_34 |
transcript.pyannote[167].start |
3692.38221875 |
transcript.pyannote[167].end |
3693.71534375 |
transcript.pyannote[168].speaker |
SPEAKER_34 |
transcript.pyannote[168].start |
3694.22159375 |
transcript.pyannote[168].end |
3694.72784375 |
transcript.pyannote[169].speaker |
SPEAKER_34 |
transcript.pyannote[169].start |
3696.61784375 |
transcript.pyannote[169].end |
3737.87721875 |
transcript.pyannote[170].speaker |
SPEAKER_37 |
transcript.pyannote[170].start |
3738.21471875 |
transcript.pyannote[170].end |
3760.67534375 |
transcript.pyannote[171].speaker |
SPEAKER_34 |
transcript.pyannote[171].start |
3760.82721875 |
transcript.pyannote[171].end |
3767.49284375 |
transcript.pyannote[172].speaker |
SPEAKER_37 |
transcript.pyannote[172].start |
3768.48846875 |
transcript.pyannote[172].end |
3785.66721875 |
transcript.pyannote[173].speaker |
SPEAKER_34 |
transcript.pyannote[173].start |
3785.66721875 |
transcript.pyannote[173].end |
3785.68409375 |
transcript.pyannote[174].speaker |
SPEAKER_37 |
transcript.pyannote[174].start |
3785.68409375 |
transcript.pyannote[174].end |
3785.70096875 |
transcript.pyannote[175].speaker |
SPEAKER_34 |
transcript.pyannote[175].start |
3785.70096875 |
transcript.pyannote[175].end |
3797.37846875 |
transcript.pyannote[176].speaker |
SPEAKER_34 |
transcript.pyannote[176].start |
3798.08721875 |
transcript.pyannote[176].end |
3798.91409375 |
transcript.pyannote[177].speaker |
SPEAKER_37 |
transcript.pyannote[177].start |
3799.82534375 |
transcript.pyannote[177].end |
3800.02784375 |
transcript.pyannote[178].speaker |
SPEAKER_34 |
transcript.pyannote[178].start |
3800.02784375 |
transcript.pyannote[178].end |
3808.04346875 |
transcript.pyannote[179].speaker |
SPEAKER_11 |
transcript.pyannote[179].start |
3808.33034375 |
transcript.pyannote[179].end |
3812.38034375 |
transcript.pyannote[180].speaker |
SPEAKER_34 |
transcript.pyannote[180].start |
3808.58346875 |
transcript.pyannote[180].end |
3809.08971875 |
transcript.pyannote[181].speaker |
SPEAKER_34 |
transcript.pyannote[181].start |
3812.76846875 |
transcript.pyannote[181].end |
3813.96659375 |
transcript.pyannote[182].speaker |
SPEAKER_20 |
transcript.pyannote[182].start |
3813.96659375 |
transcript.pyannote[182].end |
3814.28721875 |
transcript.pyannote[183].speaker |
SPEAKER_11 |
transcript.pyannote[183].start |
3814.67534375 |
transcript.pyannote[183].end |
3815.38409375 |
transcript.pyannote[184].speaker |
SPEAKER_20 |
transcript.pyannote[184].start |
3815.77221875 |
transcript.pyannote[184].end |
3820.14284375 |
transcript.pyannote[185].speaker |
SPEAKER_12 |
transcript.pyannote[185].start |
3826.06596875 |
transcript.pyannote[185].end |
3829.71096875 |
transcript.pyannote[186].speaker |
SPEAKER_20 |
transcript.pyannote[186].start |
3829.77846875 |
transcript.pyannote[186].end |
3830.89221875 |
transcript.pyannote[187].speaker |
SPEAKER_12 |
transcript.pyannote[187].start |
3837.47346875 |
transcript.pyannote[187].end |
3838.16534375 |
transcript.pyannote[188].speaker |
SPEAKER_12 |
transcript.pyannote[188].start |
3838.67159375 |
transcript.pyannote[188].end |
3843.21096875 |
transcript.pyannote[189].speaker |
SPEAKER_12 |
transcript.pyannote[189].start |
3843.70034375 |
transcript.pyannote[189].end |
3852.03659375 |
transcript.pyannote[190].speaker |
SPEAKER_12 |
transcript.pyannote[190].start |
3852.39096875 |
transcript.pyannote[190].end |
3863.30909375 |
transcript.pyannote[191].speaker |
SPEAKER_12 |
transcript.pyannote[191].start |
3864.15284375 |
transcript.pyannote[191].end |
3867.40971875 |
transcript.pyannote[192].speaker |
SPEAKER_12 |
transcript.pyannote[192].start |
3867.78096875 |
transcript.pyannote[192].end |
3869.56971875 |
transcript.pyannote[193].speaker |
SPEAKER_59 |
transcript.pyannote[193].start |
3869.56971875 |
transcript.pyannote[193].end |
3870.05909375 |
transcript.pyannote[194].speaker |
SPEAKER_12 |
transcript.pyannote[194].start |
3869.72159375 |
transcript.pyannote[194].end |
3871.81409375 |
transcript.pyannote[195].speaker |
SPEAKER_12 |
transcript.pyannote[195].start |
3872.26971875 |
transcript.pyannote[195].end |
3886.12409375 |
transcript.pyannote[196].speaker |
SPEAKER_59 |
transcript.pyannote[196].start |
3886.12409375 |
transcript.pyannote[196].end |
3886.25909375 |
transcript.pyannote[197].speaker |
SPEAKER_39 |
transcript.pyannote[197].start |
3886.25909375 |
transcript.pyannote[197].end |
3886.27596875 |
transcript.pyannote[198].speaker |
SPEAKER_12 |
transcript.pyannote[198].start |
3886.27596875 |
transcript.pyannote[198].end |
3886.30971875 |
transcript.pyannote[199].speaker |
SPEAKER_12 |
transcript.pyannote[199].start |
3886.32659375 |
transcript.pyannote[199].end |
3887.35596875 |
transcript.pyannote[200].speaker |
SPEAKER_12 |
transcript.pyannote[200].start |
3887.71034375 |
transcript.pyannote[200].end |
3890.64659375 |
transcript.pyannote[201].speaker |
SPEAKER_39 |
transcript.pyannote[201].start |
3890.64659375 |
transcript.pyannote[201].end |
3891.08534375 |
transcript.pyannote[202].speaker |
SPEAKER_12 |
transcript.pyannote[202].start |
3891.40596875 |
transcript.pyannote[202].end |
3892.14846875 |
transcript.pyannote[203].speaker |
SPEAKER_12 |
transcript.pyannote[203].start |
3892.87409375 |
transcript.pyannote[203].end |
3895.32096875 |
transcript.pyannote[204].speaker |
SPEAKER_12 |
transcript.pyannote[204].start |
3897.05909375 |
transcript.pyannote[204].end |
3897.58221875 |
transcript.pyannote[205].speaker |
SPEAKER_12 |
transcript.pyannote[205].start |
3898.54409375 |
transcript.pyannote[205].end |
3901.68284375 |
transcript.pyannote[206].speaker |
SPEAKER_12 |
transcript.pyannote[206].start |
3902.17221875 |
transcript.pyannote[206].end |
3903.18471875 |
transcript.pyannote[207].speaker |
SPEAKER_59 |
transcript.pyannote[207].start |
3903.04971875 |
transcript.pyannote[207].end |
3903.06659375 |
transcript.pyannote[208].speaker |
SPEAKER_59 |
transcript.pyannote[208].start |
3903.08346875 |
transcript.pyannote[208].end |
3903.64034375 |
transcript.pyannote[209].speaker |
SPEAKER_12 |
transcript.pyannote[209].start |
3903.99471875 |
transcript.pyannote[209].end |
3912.98909375 |
transcript.pyannote[210].speaker |
SPEAKER_12 |
transcript.pyannote[210].start |
3914.54159375 |
transcript.pyannote[210].end |
3915.57096875 |
transcript.pyannote[211].speaker |
SPEAKER_12 |
transcript.pyannote[211].start |
3916.49909375 |
transcript.pyannote[211].end |
3917.41034375 |
transcript.pyannote[212].speaker |
SPEAKER_12 |
transcript.pyannote[212].start |
3917.62971875 |
transcript.pyannote[212].end |
3918.32159375 |
transcript.pyannote[213].speaker |
SPEAKER_12 |
transcript.pyannote[213].start |
3918.89534375 |
transcript.pyannote[213].end |
3919.99221875 |
transcript.pyannote[214].speaker |
SPEAKER_12 |
transcript.pyannote[214].start |
3920.36346875 |
transcript.pyannote[214].end |
3921.91596875 |
transcript.pyannote[215].speaker |
SPEAKER_12 |
transcript.pyannote[215].start |
3921.96659375 |
transcript.pyannote[215].end |
3921.98346875 |
transcript.pyannote[216].speaker |
SPEAKER_12 |
transcript.pyannote[216].start |
3922.06784375 |
transcript.pyannote[216].end |
3929.96534375 |
transcript.pyannote[217].speaker |
SPEAKER_12 |
transcript.pyannote[217].start |
3931.19721875 |
transcript.pyannote[217].end |
3937.99784375 |
transcript.pyannote[218].speaker |
SPEAKER_12 |
transcript.pyannote[218].start |
3938.99346875 |
transcript.pyannote[218].end |
3939.71909375 |
transcript.pyannote[219].speaker |
SPEAKER_12 |
transcript.pyannote[219].start |
3941.06909375 |
transcript.pyannote[219].end |
3942.40221875 |
transcript.pyannote[220].speaker |
SPEAKER_12 |
transcript.pyannote[220].start |
3943.43159375 |
transcript.pyannote[220].end |
3944.39346875 |
transcript.pyannote[221].speaker |
SPEAKER_12 |
transcript.pyannote[221].start |
3945.06846875 |
transcript.pyannote[221].end |
3947.65034375 |
transcript.pyannote[222].speaker |
SPEAKER_12 |
transcript.pyannote[222].start |
3948.02159375 |
transcript.pyannote[222].end |
3949.87784375 |
transcript.pyannote[223].speaker |
SPEAKER_12 |
transcript.pyannote[223].start |
3950.50221875 |
transcript.pyannote[223].end |
3957.31971875 |
transcript.pyannote[224].speaker |
SPEAKER_12 |
transcript.pyannote[224].start |
3958.12971875 |
transcript.pyannote[224].end |
3960.40784375 |
transcript.pyannote[225].speaker |
SPEAKER_12 |
transcript.pyannote[225].start |
3961.28534375 |
transcript.pyannote[225].end |
3962.73659375 |
transcript.pyannote[226].speaker |
SPEAKER_47 |
transcript.pyannote[226].start |
3964.01909375 |
transcript.pyannote[226].end |
3987.84659375 |
transcript.pyannote[227].speaker |
SPEAKER_12 |
transcript.pyannote[227].start |
3983.79659375 |
transcript.pyannote[227].end |
3986.27721875 |
transcript.pyannote[228].speaker |
SPEAKER_12 |
transcript.pyannote[228].start |
3986.76659375 |
transcript.pyannote[228].end |
3989.51721875 |
transcript.pyannote[229].speaker |
SPEAKER_47 |
transcript.pyannote[229].start |
3989.95596875 |
transcript.pyannote[229].end |
3990.88409375 |
transcript.pyannote[230].speaker |
SPEAKER_12 |
transcript.pyannote[230].start |
3990.34409375 |
transcript.pyannote[230].end |
3993.60096875 |
transcript.pyannote[231].speaker |
SPEAKER_47 |
transcript.pyannote[231].start |
3991.45784375 |
transcript.pyannote[231].end |
3991.72784375 |
transcript.pyannote[232].speaker |
SPEAKER_47 |
transcript.pyannote[232].start |
3994.24221875 |
transcript.pyannote[232].end |
4019.52096875 |
transcript.pyannote[233].speaker |
SPEAKER_12 |
transcript.pyannote[233].start |
4018.10346875 |
transcript.pyannote[233].end |
4020.29721875 |
transcript.pyannote[234].speaker |
SPEAKER_12 |
transcript.pyannote[234].start |
4020.66846875 |
transcript.pyannote[234].end |
4023.43596875 |
transcript.pyannote[235].speaker |
SPEAKER_12 |
transcript.pyannote[235].start |
4023.90846875 |
transcript.pyannote[235].end |
4024.54971875 |
transcript.pyannote[236].speaker |
SPEAKER_12 |
transcript.pyannote[236].start |
4025.14034375 |
transcript.pyannote[236].end |
4026.30471875 |
transcript.pyannote[237].speaker |
SPEAKER_59 |
transcript.pyannote[237].start |
4026.27096875 |
transcript.pyannote[237].end |
4026.70971875 |
transcript.pyannote[238].speaker |
SPEAKER_12 |
transcript.pyannote[238].start |
4026.52409375 |
transcript.pyannote[238].end |
4028.46471875 |
transcript.pyannote[239].speaker |
SPEAKER_12 |
transcript.pyannote[239].start |
4028.51534375 |
transcript.pyannote[239].end |
4038.53909375 |
transcript.pyannote[240].speaker |
SPEAKER_12 |
transcript.pyannote[240].start |
4038.97784375 |
transcript.pyannote[240].end |
4041.93096875 |
transcript.pyannote[241].speaker |
SPEAKER_12 |
transcript.pyannote[241].start |
4042.58909375 |
transcript.pyannote[241].end |
4046.04846875 |
transcript.pyannote[242].speaker |
SPEAKER_12 |
transcript.pyannote[242].start |
4046.52096875 |
transcript.pyannote[242].end |
4055.34659375 |
transcript.pyannote[243].speaker |
SPEAKER_00 |
transcript.pyannote[243].start |
4051.34721875 |
transcript.pyannote[243].end |
4051.80284375 |
transcript.pyannote[244].speaker |
SPEAKER_12 |
transcript.pyannote[244].start |
4055.51534375 |
transcript.pyannote[244].end |
4058.63721875 |
transcript.pyannote[245].speaker |
SPEAKER_12 |
transcript.pyannote[245].start |
4059.21096875 |
transcript.pyannote[245].end |
4060.72971875 |
transcript.pyannote[246].speaker |
SPEAKER_12 |
transcript.pyannote[246].start |
4062.01221875 |
transcript.pyannote[246].end |
4063.88534375 |
transcript.pyannote[247].speaker |
SPEAKER_12 |
transcript.pyannote[247].start |
4063.96971875 |
transcript.pyannote[247].end |
4066.21409375 |
transcript.pyannote[248].speaker |
SPEAKER_12 |
transcript.pyannote[248].start |
4066.43346875 |
transcript.pyannote[248].end |
4069.50471875 |
transcript.pyannote[249].speaker |
SPEAKER_12 |
transcript.pyannote[249].start |
4069.97721875 |
transcript.pyannote[249].end |
4072.99784375 |
transcript.pyannote[250].speaker |
SPEAKER_12 |
transcript.pyannote[250].start |
4073.79096875 |
transcript.pyannote[250].end |
4075.66409375 |
transcript.pyannote[251].speaker |
SPEAKER_12 |
transcript.pyannote[251].start |
4075.71471875 |
transcript.pyannote[251].end |
4077.46971875 |
transcript.pyannote[252].speaker |
SPEAKER_12 |
transcript.pyannote[252].start |
4078.02659375 |
transcript.pyannote[252].end |
4079.35971875 |
transcript.pyannote[253].speaker |
SPEAKER_12 |
transcript.pyannote[253].start |
4079.59596875 |
transcript.pyannote[253].end |
4080.89534375 |
transcript.pyannote[254].speaker |
SPEAKER_12 |
transcript.pyannote[254].start |
4081.99221875 |
transcript.pyannote[254].end |
4082.49846875 |
transcript.pyannote[255].speaker |
SPEAKER_47 |
transcript.pyannote[255].start |
4083.37596875 |
transcript.pyannote[255].end |
4089.36659375 |
transcript.pyannote[256].speaker |
SPEAKER_47 |
transcript.pyannote[256].start |
4089.53534375 |
transcript.pyannote[256].end |
4109.81909375 |
transcript.pyannote[257].speaker |
SPEAKER_12 |
transcript.pyannote[257].start |
4105.87034375 |
transcript.pyannote[257].end |
4108.84034375 |
transcript.pyannote[258].speaker |
SPEAKER_12 |
transcript.pyannote[258].start |
4109.22846875 |
transcript.pyannote[258].end |
4114.42596875 |
transcript.pyannote[259].speaker |
SPEAKER_50 |
transcript.pyannote[259].start |
4111.42221875 |
transcript.pyannote[259].end |
4111.47284375 |
transcript.pyannote[260].speaker |
SPEAKER_47 |
transcript.pyannote[260].start |
4111.47284375 |
transcript.pyannote[260].end |
4111.64159375 |
transcript.pyannote[261].speaker |
SPEAKER_50 |
transcript.pyannote[261].start |
4111.64159375 |
transcript.pyannote[261].end |
4112.89034375 |
transcript.pyannote[262].speaker |
SPEAKER_50 |
transcript.pyannote[262].start |
4114.78034375 |
transcript.pyannote[262].end |
4115.06721875 |
transcript.pyannote[263].speaker |
SPEAKER_12 |
transcript.pyannote[263].start |
4115.20221875 |
transcript.pyannote[263].end |
4122.05346875 |
transcript.pyannote[264].speaker |
SPEAKER_50 |
transcript.pyannote[264].start |
4121.61471875 |
transcript.pyannote[264].end |
4121.98596875 |
transcript.pyannote[265].speaker |
SPEAKER_12 |
transcript.pyannote[265].start |
4122.62721875 |
transcript.pyannote[265].end |
4123.20096875 |
transcript.pyannote[266].speaker |
SPEAKER_12 |
transcript.pyannote[266].start |
4124.21346875 |
transcript.pyannote[266].end |
4126.67721875 |
transcript.pyannote[267].speaker |
SPEAKER_15 |
transcript.pyannote[267].start |
4124.46659375 |
transcript.pyannote[267].end |
4124.66909375 |
transcript.pyannote[268].speaker |
SPEAKER_15 |
transcript.pyannote[268].start |
4124.68596875 |
transcript.pyannote[268].end |
4124.78721875 |
transcript.pyannote[269].speaker |
SPEAKER_15 |
transcript.pyannote[269].start |
4124.82096875 |
transcript.pyannote[269].end |
4124.97284375 |
transcript.pyannote[270].speaker |
SPEAKER_12 |
transcript.pyannote[270].start |
4127.08221875 |
transcript.pyannote[270].end |
4144.26096875 |
transcript.pyannote[271].speaker |
SPEAKER_47 |
transcript.pyannote[271].start |
4141.76346875 |
transcript.pyannote[271].end |
4153.84596875 |
transcript.pyannote[272].speaker |
SPEAKER_12 |
transcript.pyannote[272].start |
4150.45409375 |
transcript.pyannote[272].end |
4151.21346875 |
transcript.pyannote[273].speaker |
SPEAKER_12 |
transcript.pyannote[273].start |
4151.85471875 |
transcript.pyannote[273].end |
4158.58784375 |
transcript.pyannote[274].speaker |
SPEAKER_47 |
transcript.pyannote[274].start |
4156.03971875 |
transcript.pyannote[274].end |
4156.59659375 |
transcript.pyannote[275].speaker |
SPEAKER_47 |
transcript.pyannote[275].start |
4158.68909375 |
transcript.pyannote[275].end |
4163.38034375 |
transcript.pyannote[276].speaker |
SPEAKER_12 |
transcript.pyannote[276].start |
4159.24596875 |
transcript.pyannote[276].end |
4160.37659375 |
transcript.pyannote[277].speaker |
SPEAKER_12 |
transcript.pyannote[277].start |
4162.75596875 |
transcript.pyannote[277].end |
4163.78534375 |
transcript.pyannote[278].speaker |
SPEAKER_12 |
transcript.pyannote[278].start |
4164.02159375 |
transcript.pyannote[278].end |
4164.83159375 |
transcript.pyannote[279].speaker |
SPEAKER_12 |
transcript.pyannote[279].start |
4165.27034375 |
transcript.pyannote[279].end |
4165.89471875 |
transcript.pyannote[280].speaker |
SPEAKER_12 |
transcript.pyannote[280].start |
4166.85659375 |
transcript.pyannote[280].end |
4172.93159375 |
transcript.pyannote[281].speaker |
SPEAKER_12 |
transcript.pyannote[281].start |
4174.01159375 |
transcript.pyannote[281].end |
4192.01721875 |
transcript.pyannote[282].speaker |
SPEAKER_12 |
transcript.pyannote[282].start |
4192.70909375 |
transcript.pyannote[282].end |
4193.83971875 |
transcript.pyannote[283].speaker |
SPEAKER_12 |
transcript.pyannote[283].start |
4194.76784375 |
transcript.pyannote[283].end |
4196.84346875 |
transcript.pyannote[284].speaker |
SPEAKER_12 |
transcript.pyannote[284].start |
4196.96159375 |
transcript.pyannote[284].end |
4201.16346875 |
transcript.pyannote[285].speaker |
SPEAKER_12 |
transcript.pyannote[285].start |
4201.34909375 |
transcript.pyannote[285].end |
4205.16284375 |
transcript.pyannote[286].speaker |
SPEAKER_39 |
transcript.pyannote[286].start |
4205.16284375 |
transcript.pyannote[286].end |
4205.87159375 |
transcript.pyannote[287].speaker |
SPEAKER_12 |
transcript.pyannote[287].start |
4205.87159375 |
transcript.pyannote[287].end |
4214.69721875 |
transcript.pyannote[288].speaker |
SPEAKER_12 |
transcript.pyannote[288].start |
4214.96721875 |
transcript.pyannote[288].end |
4216.75596875 |
transcript.pyannote[289].speaker |
SPEAKER_12 |
transcript.pyannote[289].start |
4217.36346875 |
transcript.pyannote[289].end |
4230.77909375 |
transcript.pyannote[290].speaker |
SPEAKER_20 |
transcript.pyannote[290].start |
4218.29159375 |
transcript.pyannote[290].end |
4218.88221875 |
transcript.pyannote[291].speaker |
SPEAKER_12 |
transcript.pyannote[291].start |
4230.91409375 |
transcript.pyannote[291].end |
4237.63034375 |
transcript.pyannote[292].speaker |
SPEAKER_12 |
transcript.pyannote[292].start |
4237.96784375 |
transcript.pyannote[292].end |
4239.31784375 |
transcript.pyannote[293].speaker |
SPEAKER_12 |
transcript.pyannote[293].start |
4239.72284375 |
transcript.pyannote[293].end |
4241.32596875 |
transcript.pyannote[294].speaker |
SPEAKER_47 |
transcript.pyannote[294].start |
4242.47346875 |
transcript.pyannote[294].end |
4242.54096875 |
transcript.pyannote[295].speaker |
SPEAKER_12 |
transcript.pyannote[295].start |
4242.54096875 |
transcript.pyannote[295].end |
4243.90784375 |
transcript.pyannote[296].speaker |
SPEAKER_47 |
transcript.pyannote[296].start |
4242.55784375 |
transcript.pyannote[296].end |
4242.96284375 |
transcript.pyannote[297].speaker |
SPEAKER_47 |
transcript.pyannote[297].start |
4243.35096875 |
transcript.pyannote[297].end |
4245.27471875 |
transcript.pyannote[298].speaker |
SPEAKER_12 |
transcript.pyannote[298].start |
4245.40971875 |
transcript.pyannote[298].end |
4247.72159375 |
transcript.pyannote[299].speaker |
SPEAKER_12 |
transcript.pyannote[299].start |
4248.31221875 |
transcript.pyannote[299].end |
4265.42346875 |
transcript.pyannote[300].speaker |
SPEAKER_47 |
transcript.pyannote[300].start |
4253.67846875 |
transcript.pyannote[300].end |
4253.96534375 |
transcript.pyannote[301].speaker |
SPEAKER_00 |
transcript.pyannote[301].start |
4253.96534375 |
transcript.pyannote[301].end |
4254.60659375 |
transcript.pyannote[302].speaker |
SPEAKER_00 |
transcript.pyannote[302].start |
4259.36534375 |
transcript.pyannote[302].end |
4259.38221875 |
transcript.pyannote[303].speaker |
SPEAKER_59 |
transcript.pyannote[303].start |
4259.38221875 |
transcript.pyannote[303].end |
4260.27659375 |
transcript.pyannote[304].speaker |
SPEAKER_59 |
transcript.pyannote[304].start |
4261.82909375 |
transcript.pyannote[304].end |
4262.11596875 |
transcript.pyannote[305].speaker |
SPEAKER_12 |
transcript.pyannote[305].start |
4266.04784375 |
transcript.pyannote[305].end |
4267.31346875 |
transcript.pyannote[306].speaker |
SPEAKER_12 |
transcript.pyannote[306].start |
4267.88721875 |
transcript.pyannote[306].end |
4276.62846875 |
transcript.pyannote[307].speaker |
SPEAKER_12 |
transcript.pyannote[307].start |
4278.97409375 |
transcript.pyannote[307].end |
4286.17971875 |
transcript.pyannote[308].speaker |
SPEAKER_12 |
transcript.pyannote[308].start |
4286.77034375 |
transcript.pyannote[308].end |
4290.76971875 |
transcript.pyannote[309].speaker |
SPEAKER_12 |
transcript.pyannote[309].start |
4291.25909375 |
transcript.pyannote[309].end |
4292.71034375 |
transcript.pyannote[310].speaker |
SPEAKER_12 |
transcript.pyannote[310].start |
4294.54971875 |
transcript.pyannote[310].end |
4295.54534375 |
transcript.pyannote[311].speaker |
SPEAKER_47 |
transcript.pyannote[311].start |
4296.97971875 |
transcript.pyannote[311].end |
4303.71284375 |
transcript.pyannote[312].speaker |
SPEAKER_12 |
transcript.pyannote[312].start |
4303.05471875 |
transcript.pyannote[312].end |
4304.13471875 |
transcript.pyannote[313].speaker |
SPEAKER_47 |
transcript.pyannote[313].start |
4304.13471875 |
transcript.pyannote[313].end |
4309.58534375 |
transcript.pyannote[314].speaker |
SPEAKER_12 |
transcript.pyannote[314].start |
4304.94471875 |
transcript.pyannote[314].end |
4306.31159375 |
transcript.pyannote[315].speaker |
SPEAKER_12 |
transcript.pyannote[315].start |
4307.83034375 |
transcript.pyannote[315].end |
4310.49659375 |
transcript.pyannote[316].speaker |
SPEAKER_47 |
transcript.pyannote[316].start |
4309.82159375 |
transcript.pyannote[316].end |
4310.54721875 |
transcript.pyannote[317].speaker |
SPEAKER_12 |
transcript.pyannote[317].start |
4310.53034375 |
transcript.pyannote[317].end |
4310.61471875 |
transcript.pyannote[318].speaker |
SPEAKER_12 |
transcript.pyannote[318].start |
4310.63159375 |
transcript.pyannote[318].end |
4312.01534375 |
transcript.pyannote[319].speaker |
SPEAKER_12 |
transcript.pyannote[319].start |
4312.25159375 |
transcript.pyannote[319].end |
4313.93909375 |
transcript.pyannote[320].speaker |
SPEAKER_12 |
transcript.pyannote[320].start |
4314.10784375 |
transcript.pyannote[320].end |
4322.57909375 |
transcript.pyannote[321].speaker |
SPEAKER_47 |
transcript.pyannote[321].start |
4317.63471875 |
transcript.pyannote[321].end |
4319.37284375 |
transcript.pyannote[322].speaker |
SPEAKER_06 |
transcript.pyannote[322].start |
4319.37284375 |
transcript.pyannote[322].end |
4321.12784375 |
transcript.pyannote[323].speaker |
SPEAKER_47 |
transcript.pyannote[323].start |
4321.12784375 |
transcript.pyannote[323].end |
4325.66721875 |
transcript.pyannote[324].speaker |
SPEAKER_06 |
transcript.pyannote[324].start |
4322.57909375 |
transcript.pyannote[324].end |
4322.59596875 |
transcript.pyannote[325].speaker |
SPEAKER_12 |
transcript.pyannote[325].start |
4324.33409375 |
transcript.pyannote[325].end |
4324.38471875 |
transcript.pyannote[326].speaker |
SPEAKER_06 |
transcript.pyannote[326].start |
4324.38471875 |
transcript.pyannote[326].end |
4325.92034375 |
transcript.pyannote[327].speaker |
SPEAKER_06 |
transcript.pyannote[327].start |
4326.56159375 |
transcript.pyannote[327].end |
4329.05909375 |
transcript.pyannote[328].speaker |
SPEAKER_12 |
transcript.pyannote[328].start |
4326.76409375 |
transcript.pyannote[328].end |
4326.78096875 |
transcript.pyannote[329].speaker |
SPEAKER_47 |
transcript.pyannote[329].start |
4326.78096875 |
transcript.pyannote[329].end |
4326.84846875 |
transcript.pyannote[330].speaker |
SPEAKER_20 |
transcript.pyannote[330].start |
4326.84846875 |
transcript.pyannote[330].end |
4327.03409375 |
transcript.pyannote[331].speaker |
SPEAKER_47 |
transcript.pyannote[331].start |
4327.03409375 |
transcript.pyannote[331].end |
4327.82721875 |
transcript.pyannote[332].speaker |
SPEAKER_20 |
transcript.pyannote[332].start |
4327.82721875 |
transcript.pyannote[332].end |
4327.84409375 |
transcript.pyannote[333].speaker |
SPEAKER_47 |
transcript.pyannote[333].start |
4327.84409375 |
transcript.pyannote[333].end |
4327.87784375 |
transcript.pyannote[334].speaker |
SPEAKER_05 |
transcript.pyannote[334].start |
4327.87784375 |
transcript.pyannote[334].end |
4327.94534375 |
transcript.pyannote[335].speaker |
SPEAKER_47 |
transcript.pyannote[335].start |
4328.26596875 |
transcript.pyannote[335].end |
4337.53034375 |
transcript.pyannote[336].speaker |
SPEAKER_06 |
transcript.pyannote[336].start |
4331.33721875 |
transcript.pyannote[336].end |
4331.35409375 |
transcript.pyannote[337].speaker |
SPEAKER_12 |
transcript.pyannote[337].start |
4331.35409375 |
transcript.pyannote[337].end |
4333.24409375 |
transcript.pyannote[338].speaker |
SPEAKER_12 |
transcript.pyannote[338].start |
4334.02034375 |
transcript.pyannote[338].end |
4342.64346875 |
transcript.pyannote[339].speaker |
SPEAKER_47 |
transcript.pyannote[339].start |
4342.13721875 |
transcript.pyannote[339].end |
4344.65159375 |
transcript.pyannote[340].speaker |
SPEAKER_12 |
transcript.pyannote[340].start |
4342.77846875 |
transcript.pyannote[340].end |
4353.62909375 |
transcript.pyannote[341].speaker |
SPEAKER_00 |
transcript.pyannote[341].start |
4345.91721875 |
transcript.pyannote[341].end |
4347.26721875 |
transcript.pyannote[342].speaker |
SPEAKER_47 |
transcript.pyannote[342].start |
4348.70159375 |
transcript.pyannote[342].end |
4348.92096875 |
transcript.pyannote[343].speaker |
SPEAKER_14 |
transcript.pyannote[343].start |
4348.92096875 |
transcript.pyannote[343].end |
4349.08971875 |
transcript.pyannote[344].speaker |
SPEAKER_47 |
transcript.pyannote[344].start |
4349.08971875 |
transcript.pyannote[344].end |
4349.12346875 |
transcript.pyannote[345].speaker |
SPEAKER_14 |
transcript.pyannote[345].start |
4349.12346875 |
transcript.pyannote[345].end |
4349.24159375 |
transcript.pyannote[346].speaker |
SPEAKER_47 |
transcript.pyannote[346].start |
4349.24159375 |
transcript.pyannote[346].end |
4349.27534375 |
transcript.pyannote[347].speaker |
SPEAKER_14 |
transcript.pyannote[347].start |
4349.27534375 |
transcript.pyannote[347].end |
4349.30909375 |
transcript.pyannote[348].speaker |
SPEAKER_47 |
transcript.pyannote[348].start |
4349.30909375 |
transcript.pyannote[348].end |
4349.35971875 |
transcript.pyannote[349].speaker |
SPEAKER_14 |
transcript.pyannote[349].start |
4349.35971875 |
transcript.pyannote[349].end |
4349.44409375 |
transcript.pyannote[350].speaker |
SPEAKER_47 |
transcript.pyannote[350].start |
4350.08534375 |
transcript.pyannote[350].end |
4350.57471875 |
transcript.pyannote[351].speaker |
SPEAKER_47 |
transcript.pyannote[351].start |
4351.33409375 |
transcript.pyannote[351].end |
4357.20659375 |
transcript.pyannote[352].speaker |
SPEAKER_20 |
transcript.pyannote[352].start |
4353.62909375 |
transcript.pyannote[352].end |
4353.64596875 |
transcript.pyannote[353].speaker |
SPEAKER_12 |
transcript.pyannote[353].start |
4354.37159375 |
transcript.pyannote[353].end |
4354.87784375 |
transcript.pyannote[354].speaker |
SPEAKER_20 |
transcript.pyannote[354].start |
4354.87784375 |
transcript.pyannote[354].end |
4356.95346875 |
transcript.pyannote[355].speaker |
SPEAKER_20 |
transcript.pyannote[355].start |
4357.20659375 |
transcript.pyannote[355].end |
4359.72096875 |
transcript.pyannote[356].speaker |
SPEAKER_27 |
transcript.pyannote[356].start |
4379.38034375 |
transcript.pyannote[356].end |
4381.11846875 |
transcript.pyannote[357].speaker |
SPEAKER_27 |
transcript.pyannote[357].start |
4381.48971875 |
transcript.pyannote[357].end |
4383.02534375 |
transcript.pyannote[358].speaker |
SPEAKER_20 |
transcript.pyannote[358].start |
4383.02534375 |
transcript.pyannote[358].end |
4383.04221875 |
transcript.pyannote[359].speaker |
SPEAKER_27 |
transcript.pyannote[359].start |
4393.16721875 |
transcript.pyannote[359].end |
4394.73659375 |
transcript.pyannote[360].speaker |
SPEAKER_27 |
transcript.pyannote[360].start |
4395.39471875 |
transcript.pyannote[360].end |
4396.00221875 |
transcript.pyannote[361].speaker |
SPEAKER_27 |
transcript.pyannote[361].start |
4396.30596875 |
transcript.pyannote[361].end |
4404.82784375 |
transcript.pyannote[362].speaker |
SPEAKER_27 |
transcript.pyannote[362].start |
4405.73909375 |
transcript.pyannote[362].end |
4410.29534375 |
transcript.pyannote[363].speaker |
SPEAKER_27 |
transcript.pyannote[363].start |
4410.88596875 |
transcript.pyannote[363].end |
4411.83096875 |
transcript.pyannote[364].speaker |
SPEAKER_54 |
transcript.pyannote[364].start |
4412.99534375 |
transcript.pyannote[364].end |
4414.15971875 |
transcript.pyannote[365].speaker |
SPEAKER_27 |
transcript.pyannote[365].start |
4414.46346875 |
transcript.pyannote[365].end |
4415.50971875 |
transcript.pyannote[366].speaker |
SPEAKER_54 |
transcript.pyannote[366].start |
4415.50971875 |
transcript.pyannote[366].end |
4415.52659375 |
transcript.pyannote[367].speaker |
SPEAKER_54 |
transcript.pyannote[367].start |
4415.84721875 |
transcript.pyannote[367].end |
4415.88096875 |
transcript.pyannote[368].speaker |
SPEAKER_27 |
transcript.pyannote[368].start |
4415.88096875 |
transcript.pyannote[368].end |
4416.03284375 |
transcript.pyannote[369].speaker |
SPEAKER_54 |
transcript.pyannote[369].start |
4416.03284375 |
transcript.pyannote[369].end |
4417.12971875 |
transcript.pyannote[370].speaker |
SPEAKER_54 |
transcript.pyannote[370].start |
4417.43346875 |
transcript.pyannote[370].end |
4418.71596875 |
transcript.pyannote[371].speaker |
SPEAKER_54 |
transcript.pyannote[371].start |
4419.71159375 |
transcript.pyannote[371].end |
4432.63784375 |
transcript.pyannote[372].speaker |
SPEAKER_27 |
transcript.pyannote[372].start |
4430.35971875 |
transcript.pyannote[372].end |
4431.08534375 |
transcript.pyannote[373].speaker |
SPEAKER_27 |
transcript.pyannote[373].start |
4431.87846875 |
transcript.pyannote[373].end |
4431.96284375 |
transcript.pyannote[374].speaker |
SPEAKER_27 |
transcript.pyannote[374].start |
4432.31721875 |
transcript.pyannote[374].end |
4434.67971875 |
transcript.pyannote[375].speaker |
SPEAKER_27 |
transcript.pyannote[375].start |
4434.96659375 |
transcript.pyannote[375].end |
4439.43846875 |
transcript.pyannote[376].speaker |
SPEAKER_27 |
transcript.pyannote[376].start |
4439.96159375 |
transcript.pyannote[376].end |
4446.44159375 |
transcript.pyannote[377].speaker |
SPEAKER_27 |
transcript.pyannote[377].start |
4446.94784375 |
transcript.pyannote[377].end |
4451.31846875 |
transcript.pyannote[378].speaker |
SPEAKER_27 |
transcript.pyannote[378].start |
4452.14534375 |
transcript.pyannote[378].end |
4453.20846875 |
transcript.pyannote[379].speaker |
SPEAKER_27 |
transcript.pyannote[379].start |
4454.22096875 |
transcript.pyannote[379].end |
4475.56784375 |
transcript.pyannote[380].speaker |
SPEAKER_27 |
transcript.pyannote[380].start |
4476.24284375 |
transcript.pyannote[380].end |
4477.32284375 |
transcript.pyannote[381].speaker |
SPEAKER_54 |
transcript.pyannote[381].start |
4478.28471875 |
transcript.pyannote[381].end |
4484.81534375 |
transcript.pyannote[382].speaker |
SPEAKER_27 |
transcript.pyannote[382].start |
4485.42284375 |
transcript.pyannote[382].end |
4486.43534375 |
transcript.pyannote[383].speaker |
SPEAKER_27 |
transcript.pyannote[383].start |
4486.77284375 |
transcript.pyannote[383].end |
4492.62846875 |
transcript.pyannote[384].speaker |
SPEAKER_27 |
transcript.pyannote[384].start |
4493.18534375 |
transcript.pyannote[384].end |
4499.20971875 |
transcript.pyannote[385].speaker |
SPEAKER_27 |
transcript.pyannote[385].start |
4499.27721875 |
transcript.pyannote[385].end |
4507.79909375 |
transcript.pyannote[386].speaker |
SPEAKER_54 |
transcript.pyannote[386].start |
4508.28846875 |
transcript.pyannote[386].end |
4515.13971875 |
transcript.pyannote[387].speaker |
SPEAKER_27 |
transcript.pyannote[387].start |
4515.13971875 |
transcript.pyannote[387].end |
4516.50659375 |
transcript.pyannote[388].speaker |
SPEAKER_54 |
transcript.pyannote[388].start |
4516.50659375 |
transcript.pyannote[388].end |
4516.57409375 |
transcript.pyannote[389].speaker |
SPEAKER_27 |
transcript.pyannote[389].start |
4516.57409375 |
transcript.pyannote[389].end |
4516.59096875 |
transcript.pyannote[390].speaker |
SPEAKER_54 |
transcript.pyannote[390].start |
4516.59096875 |
transcript.pyannote[390].end |
4525.46721875 |
transcript.pyannote[391].speaker |
SPEAKER_54 |
transcript.pyannote[391].start |
4526.19284375 |
transcript.pyannote[391].end |
4526.66534375 |
transcript.pyannote[392].speaker |
SPEAKER_27 |
transcript.pyannote[392].start |
4526.66534375 |
transcript.pyannote[392].end |
4528.77471875 |
transcript.pyannote[393].speaker |
SPEAKER_27 |
transcript.pyannote[393].start |
4529.28096875 |
transcript.pyannote[393].end |
4547.32034375 |
transcript.pyannote[394].speaker |
SPEAKER_54 |
transcript.pyannote[394].start |
4542.49409375 |
transcript.pyannote[394].end |
4542.69659375 |
transcript.pyannote[395].speaker |
SPEAKER_00 |
transcript.pyannote[395].start |
4542.69659375 |
transcript.pyannote[395].end |
4542.78096875 |
transcript.pyannote[396].speaker |
SPEAKER_54 |
transcript.pyannote[396].start |
4542.78096875 |
transcript.pyannote[396].end |
4542.81471875 |
transcript.pyannote[397].speaker |
SPEAKER_00 |
transcript.pyannote[397].start |
4542.81471875 |
transcript.pyannote[397].end |
4542.83159375 |
transcript.pyannote[398].speaker |
SPEAKER_54 |
transcript.pyannote[398].start |
4542.83159375 |
transcript.pyannote[398].end |
4542.91596875 |
transcript.pyannote[399].speaker |
SPEAKER_00 |
transcript.pyannote[399].start |
4542.91596875 |
transcript.pyannote[399].end |
4543.11846875 |
transcript.pyannote[400].speaker |
SPEAKER_27 |
transcript.pyannote[400].start |
4547.72534375 |
transcript.pyannote[400].end |
4548.83909375 |
transcript.pyannote[401].speaker |
SPEAKER_27 |
transcript.pyannote[401].start |
4549.59846875 |
transcript.pyannote[401].end |
4556.21346875 |
transcript.pyannote[402].speaker |
SPEAKER_27 |
transcript.pyannote[402].start |
4556.61846875 |
transcript.pyannote[402].end |
4560.39846875 |
transcript.pyannote[403].speaker |
SPEAKER_27 |
transcript.pyannote[403].start |
4560.63471875 |
transcript.pyannote[403].end |
4565.03909375 |
transcript.pyannote[404].speaker |
SPEAKER_27 |
transcript.pyannote[404].start |
4565.32596875 |
transcript.pyannote[404].end |
4568.75159375 |
transcript.pyannote[405].speaker |
SPEAKER_59 |
transcript.pyannote[405].start |
4568.75159375 |
transcript.pyannote[405].end |
4569.10596875 |
transcript.pyannote[406].speaker |
SPEAKER_27 |
transcript.pyannote[406].start |
4569.34221875 |
transcript.pyannote[406].end |
4571.62034375 |
transcript.pyannote[407].speaker |
SPEAKER_27 |
transcript.pyannote[407].start |
4572.19409375 |
transcript.pyannote[407].end |
4573.37534375 |
transcript.pyannote[408].speaker |
SPEAKER_27 |
transcript.pyannote[408].start |
4573.96596875 |
transcript.pyannote[408].end |
4575.97409375 |
transcript.pyannote[409].speaker |
SPEAKER_27 |
transcript.pyannote[409].start |
4576.51409375 |
transcript.pyannote[409].end |
4581.18846875 |
transcript.pyannote[410].speaker |
SPEAKER_27 |
transcript.pyannote[410].start |
4583.55096875 |
transcript.pyannote[410].end |
4593.00096875 |
transcript.pyannote[411].speaker |
SPEAKER_27 |
transcript.pyannote[411].start |
4593.37221875 |
transcript.pyannote[411].end |
4594.21596875 |
transcript.pyannote[412].speaker |
SPEAKER_27 |
transcript.pyannote[412].start |
4594.94159375 |
transcript.pyannote[412].end |
4595.78534375 |
transcript.pyannote[413].speaker |
SPEAKER_27 |
transcript.pyannote[413].start |
4596.32534375 |
transcript.pyannote[413].end |
4598.80596875 |
transcript.pyannote[414].speaker |
SPEAKER_27 |
transcript.pyannote[414].start |
4599.85221875 |
transcript.pyannote[414].end |
4599.86909375 |
transcript.pyannote[415].speaker |
SPEAKER_54 |
transcript.pyannote[415].start |
4599.86909375 |
transcript.pyannote[415].end |
4616.45721875 |
transcript.pyannote[416].speaker |
SPEAKER_27 |
transcript.pyannote[416].start |
4616.45721875 |
transcript.pyannote[416].end |
4620.47346875 |
transcript.pyannote[417].speaker |
SPEAKER_27 |
transcript.pyannote[417].start |
4620.97971875 |
transcript.pyannote[417].end |
4621.68846875 |
transcript.pyannote[418].speaker |
SPEAKER_27 |
transcript.pyannote[418].start |
4622.43096875 |
transcript.pyannote[418].end |
4624.65846875 |
transcript.pyannote[419].speaker |
SPEAKER_27 |
transcript.pyannote[419].start |
4624.75971875 |
transcript.pyannote[419].end |
4625.75534375 |
transcript.pyannote[420].speaker |
SPEAKER_27 |
transcript.pyannote[420].start |
4626.22784375 |
transcript.pyannote[420].end |
4628.65784375 |
transcript.pyannote[421].speaker |
SPEAKER_27 |
transcript.pyannote[421].start |
4629.31596875 |
transcript.pyannote[421].end |
4629.46784375 |
transcript.pyannote[422].speaker |
SPEAKER_38 |
transcript.pyannote[422].start |
4629.46784375 |
transcript.pyannote[422].end |
4629.61971875 |
transcript.pyannote[423].speaker |
SPEAKER_27 |
transcript.pyannote[423].start |
4629.61971875 |
transcript.pyannote[423].end |
4629.63659375 |
transcript.pyannote[424].speaker |
SPEAKER_38 |
transcript.pyannote[424].start |
4629.63659375 |
transcript.pyannote[424].end |
4629.67034375 |
transcript.pyannote[425].speaker |
SPEAKER_27 |
transcript.pyannote[425].start |
4630.02471875 |
transcript.pyannote[425].end |
4639.15409375 |
transcript.pyannote[426].speaker |
SPEAKER_27 |
transcript.pyannote[426].start |
4639.79534375 |
transcript.pyannote[426].end |
4641.78659375 |
transcript.pyannote[427].speaker |
SPEAKER_27 |
transcript.pyannote[427].start |
4642.14096875 |
transcript.pyannote[427].end |
4642.42784375 |
transcript.pyannote[428].speaker |
SPEAKER_27 |
transcript.pyannote[428].start |
4643.22096875 |
transcript.pyannote[428].end |
4645.63409375 |
transcript.pyannote[429].speaker |
SPEAKER_27 |
transcript.pyannote[429].start |
4646.41034375 |
transcript.pyannote[429].end |
4648.68846875 |
transcript.pyannote[430].speaker |
SPEAKER_27 |
transcript.pyannote[430].start |
4649.04284375 |
transcript.pyannote[430].end |
4650.46034375 |
transcript.pyannote[431].speaker |
SPEAKER_54 |
transcript.pyannote[431].start |
4652.06346875 |
transcript.pyannote[431].end |
4660.29846875 |
transcript.pyannote[432].speaker |
SPEAKER_54 |
transcript.pyannote[432].start |
4660.36596875 |
transcript.pyannote[432].end |
4660.80471875 |
transcript.pyannote[433].speaker |
SPEAKER_27 |
transcript.pyannote[433].start |
4660.97346875 |
transcript.pyannote[433].end |
4665.07409375 |
transcript.pyannote[434].speaker |
SPEAKER_27 |
transcript.pyannote[434].start |
4665.49596875 |
transcript.pyannote[434].end |
4670.40659375 |
transcript.pyannote[435].speaker |
SPEAKER_27 |
transcript.pyannote[435].start |
4671.55409375 |
transcript.pyannote[435].end |
4673.64659375 |
transcript.pyannote[436].speaker |
SPEAKER_27 |
transcript.pyannote[436].start |
4674.08534375 |
transcript.pyannote[436].end |
4675.87409375 |
transcript.pyannote[437].speaker |
SPEAKER_27 |
transcript.pyannote[437].start |
4676.71784375 |
transcript.pyannote[437].end |
4677.96659375 |
transcript.pyannote[438].speaker |
SPEAKER_54 |
transcript.pyannote[438].start |
4678.33784375 |
transcript.pyannote[438].end |
4678.92846875 |
transcript.pyannote[439].speaker |
SPEAKER_27 |
transcript.pyannote[439].start |
4678.92846875 |
transcript.pyannote[439].end |
4679.02971875 |
transcript.pyannote[440].speaker |
SPEAKER_54 |
transcript.pyannote[440].start |
4679.02971875 |
transcript.pyannote[440].end |
4679.35034375 |
transcript.pyannote[441].speaker |
SPEAKER_59 |
transcript.pyannote[441].start |
4679.35034375 |
transcript.pyannote[441].end |
4679.55284375 |
transcript.pyannote[442].speaker |
SPEAKER_27 |
transcript.pyannote[442].start |
4680.29534375 |
transcript.pyannote[442].end |
4680.32909375 |
transcript.pyannote[443].speaker |
SPEAKER_54 |
transcript.pyannote[443].start |
4680.32909375 |
transcript.pyannote[443].end |
4682.72534375 |
transcript.pyannote[444].speaker |
SPEAKER_54 |
transcript.pyannote[444].start |
4683.24846875 |
transcript.pyannote[444].end |
4694.28471875 |
transcript.pyannote[445].speaker |
SPEAKER_27 |
transcript.pyannote[445].start |
4695.07784375 |
transcript.pyannote[445].end |
4695.55034375 |
transcript.pyannote[446].speaker |
SPEAKER_54 |
transcript.pyannote[446].start |
4695.55034375 |
transcript.pyannote[446].end |
4695.56721875 |
transcript.pyannote[447].speaker |
SPEAKER_27 |
transcript.pyannote[447].start |
4695.56721875 |
transcript.pyannote[447].end |
4695.61784375 |
transcript.pyannote[448].speaker |
SPEAKER_54 |
transcript.pyannote[448].start |
4695.61784375 |
transcript.pyannote[448].end |
4696.32659375 |
transcript.pyannote[449].speaker |
SPEAKER_27 |
transcript.pyannote[449].start |
4696.32659375 |
transcript.pyannote[449].end |
4696.49534375 |
transcript.pyannote[450].speaker |
SPEAKER_54 |
transcript.pyannote[450].start |
4696.49534375 |
transcript.pyannote[450].end |
4696.96784375 |
transcript.pyannote[451].speaker |
SPEAKER_27 |
transcript.pyannote[451].start |
4696.96784375 |
transcript.pyannote[451].end |
4698.30096875 |
transcript.pyannote[452].speaker |
SPEAKER_54 |
transcript.pyannote[452].start |
4699.70159375 |
transcript.pyannote[452].end |
4702.92471875 |
transcript.pyannote[453].speaker |
SPEAKER_54 |
transcript.pyannote[453].start |
4703.19471875 |
transcript.pyannote[453].end |
4704.54471875 |
transcript.pyannote[454].speaker |
SPEAKER_27 |
transcript.pyannote[454].start |
4703.27909375 |
transcript.pyannote[454].end |
4704.05534375 |
transcript.pyannote[455].speaker |
SPEAKER_27 |
transcript.pyannote[455].start |
4704.34221875 |
transcript.pyannote[455].end |
4705.32096875 |
transcript.pyannote[456].speaker |
SPEAKER_54 |
transcript.pyannote[456].start |
4705.32096875 |
transcript.pyannote[456].end |
4705.50659375 |
transcript.pyannote[457].speaker |
SPEAKER_27 |
transcript.pyannote[457].start |
4706.24909375 |
transcript.pyannote[457].end |
4706.67096875 |
transcript.pyannote[458].speaker |
SPEAKER_27 |
transcript.pyannote[458].start |
4706.89034375 |
transcript.pyannote[458].end |
4710.68721875 |
transcript.pyannote[459].speaker |
SPEAKER_27 |
transcript.pyannote[459].start |
4711.17659375 |
transcript.pyannote[459].end |
4713.60659375 |
transcript.pyannote[460].speaker |
SPEAKER_27 |
transcript.pyannote[460].start |
4713.96096875 |
transcript.pyannote[460].end |
4714.61909375 |
transcript.pyannote[461].speaker |
SPEAKER_27 |
transcript.pyannote[461].start |
4715.14221875 |
transcript.pyannote[461].end |
4715.76659375 |
transcript.pyannote[462].speaker |
SPEAKER_27 |
transcript.pyannote[462].start |
4716.22221875 |
transcript.pyannote[462].end |
4717.03221875 |
transcript.pyannote[463].speaker |
SPEAKER_27 |
transcript.pyannote[463].start |
4717.16721875 |
transcript.pyannote[463].end |
4718.17971875 |
transcript.pyannote[464].speaker |
SPEAKER_27 |
transcript.pyannote[464].start |
4718.97284375 |
transcript.pyannote[464].end |
4719.78284375 |
transcript.pyannote[465].speaker |
SPEAKER_54 |
transcript.pyannote[465].start |
4720.47471875 |
transcript.pyannote[465].end |
4722.61784375 |
transcript.pyannote[466].speaker |
SPEAKER_27 |
transcript.pyannote[466].start |
4723.59659375 |
transcript.pyannote[466].end |
4725.62159375 |
transcript.pyannote[467].speaker |
SPEAKER_27 |
transcript.pyannote[467].start |
4726.38096875 |
transcript.pyannote[467].end |
4729.43534375 |
transcript.pyannote[468].speaker |
SPEAKER_27 |
transcript.pyannote[468].start |
4729.95846875 |
transcript.pyannote[468].end |
4731.66284375 |
transcript.pyannote[469].speaker |
SPEAKER_27 |
transcript.pyannote[469].start |
4732.70909375 |
transcript.pyannote[469].end |
4735.99971875 |
transcript.pyannote[470].speaker |
SPEAKER_27 |
transcript.pyannote[470].start |
4736.43846875 |
transcript.pyannote[470].end |
4737.33284375 |
transcript.pyannote[471].speaker |
SPEAKER_27 |
transcript.pyannote[471].start |
4738.04159375 |
transcript.pyannote[471].end |
4739.40846875 |
transcript.pyannote[472].speaker |
SPEAKER_27 |
transcript.pyannote[472].start |
4740.21846875 |
transcript.pyannote[472].end |
4741.63596875 |
transcript.pyannote[473].speaker |
SPEAKER_27 |
transcript.pyannote[473].start |
4742.02409375 |
transcript.pyannote[473].end |
4743.27284375 |
transcript.pyannote[474].speaker |
SPEAKER_27 |
transcript.pyannote[474].start |
4743.32346875 |
transcript.pyannote[474].end |
4745.14596875 |
transcript.pyannote[475].speaker |
SPEAKER_27 |
transcript.pyannote[475].start |
4745.51721875 |
transcript.pyannote[475].end |
4746.76596875 |
transcript.pyannote[476].speaker |
SPEAKER_27 |
transcript.pyannote[476].start |
4747.71096875 |
transcript.pyannote[476].end |
4748.70659375 |
transcript.pyannote[477].speaker |
SPEAKER_27 |
transcript.pyannote[477].start |
4749.61784375 |
transcript.pyannote[477].end |
4754.34284375 |
transcript.pyannote[478].speaker |
SPEAKER_27 |
transcript.pyannote[478].start |
4754.76471875 |
transcript.pyannote[478].end |
4756.82346875 |
transcript.pyannote[479].speaker |
SPEAKER_27 |
transcript.pyannote[479].start |
4757.75159375 |
transcript.pyannote[479].end |
4758.78096875 |
transcript.pyannote[480].speaker |
SPEAKER_27 |
transcript.pyannote[480].start |
4759.33784375 |
transcript.pyannote[480].end |
4763.45534375 |
transcript.pyannote[481].speaker |
SPEAKER_27 |
transcript.pyannote[481].start |
4764.16409375 |
transcript.pyannote[481].end |
4766.54346875 |
transcript.pyannote[482].speaker |
SPEAKER_27 |
transcript.pyannote[482].start |
4768.70346875 |
transcript.pyannote[482].end |
4770.30659375 |
transcript.pyannote[483].speaker |
SPEAKER_27 |
transcript.pyannote[483].start |
4770.84659375 |
transcript.pyannote[483].end |
4781.20784375 |
transcript.pyannote[484].speaker |
SPEAKER_27 |
transcript.pyannote[484].start |
4781.22471875 |
transcript.pyannote[484].end |
4781.39346875 |
transcript.pyannote[485].speaker |
SPEAKER_38 |
transcript.pyannote[485].start |
4781.39346875 |
transcript.pyannote[485].end |
4781.54534375 |
transcript.pyannote[486].speaker |
SPEAKER_27 |
transcript.pyannote[486].start |
4782.42284375 |
transcript.pyannote[486].end |
4786.08471875 |
transcript.pyannote[487].speaker |
SPEAKER_27 |
transcript.pyannote[487].start |
4786.69221875 |
transcript.pyannote[487].end |
4787.72159375 |
transcript.pyannote[488].speaker |
SPEAKER_27 |
transcript.pyannote[488].start |
4788.39659375 |
transcript.pyannote[488].end |
4791.61971875 |
transcript.pyannote[489].speaker |
SPEAKER_27 |
transcript.pyannote[489].start |
4792.46346875 |
transcript.pyannote[489].end |
4792.75034375 |
transcript.pyannote[490].speaker |
SPEAKER_27 |
transcript.pyannote[490].start |
4793.15534375 |
transcript.pyannote[490].end |
4794.48846875 |
transcript.pyannote[491].speaker |
SPEAKER_27 |
transcript.pyannote[491].start |
4795.12971875 |
transcript.pyannote[491].end |
4796.02409375 |
transcript.pyannote[492].speaker |
SPEAKER_27 |
transcript.pyannote[492].start |
4796.14221875 |
transcript.pyannote[492].end |
4798.70721875 |
transcript.pyannote[493].speaker |
SPEAKER_27 |
transcript.pyannote[493].start |
4798.82534375 |
transcript.pyannote[493].end |
4803.44909375 |
transcript.pyannote[494].speaker |
SPEAKER_27 |
transcript.pyannote[494].start |
4804.02284375 |
transcript.pyannote[494].end |
4805.28846875 |
transcript.pyannote[495].speaker |
SPEAKER_27 |
transcript.pyannote[495].start |
4805.49096875 |
transcript.pyannote[495].end |
4807.48221875 |
transcript.pyannote[496].speaker |
SPEAKER_54 |
transcript.pyannote[496].start |
4807.48221875 |
transcript.pyannote[496].end |
4815.97034375 |
transcript.pyannote[497].speaker |
SPEAKER_27 |
transcript.pyannote[497].start |
4815.97034375 |
transcript.pyannote[497].end |
4820.49284375 |
transcript.pyannote[498].speaker |
SPEAKER_19 |
transcript.pyannote[498].start |
4820.49284375 |
transcript.pyannote[498].end |
4820.66159375 |
transcript.pyannote[499].speaker |
SPEAKER_27 |
transcript.pyannote[499].start |
4820.66159375 |
transcript.pyannote[499].end |
4826.24721875 |
transcript.pyannote[500].speaker |
SPEAKER_19 |
transcript.pyannote[500].start |
4820.67846875 |
transcript.pyannote[500].end |
4820.79659375 |
transcript.pyannote[501].speaker |
SPEAKER_27 |
transcript.pyannote[501].start |
4826.73659375 |
transcript.pyannote[501].end |
4827.36096875 |
transcript.pyannote[502].speaker |
SPEAKER_27 |
transcript.pyannote[502].start |
4827.68159375 |
transcript.pyannote[502].end |
4828.52534375 |
transcript.pyannote[503].speaker |
SPEAKER_27 |
transcript.pyannote[503].start |
4828.64346875 |
transcript.pyannote[503].end |
4832.55846875 |
transcript.pyannote[504].speaker |
SPEAKER_54 |
transcript.pyannote[504].start |
4831.41096875 |
transcript.pyannote[504].end |
4831.46159375 |
transcript.pyannote[505].speaker |
SPEAKER_43 |
transcript.pyannote[505].start |
4831.46159375 |
transcript.pyannote[505].end |
4833.68909375 |
transcript.pyannote[506].speaker |
SPEAKER_43 |
transcript.pyannote[506].start |
4834.11096875 |
transcript.pyannote[506].end |
4837.16534375 |
transcript.pyannote[507].speaker |
SPEAKER_19 |
transcript.pyannote[507].start |
4846.59846875 |
transcript.pyannote[507].end |
4848.33659375 |
transcript.pyannote[508].speaker |
SPEAKER_19 |
transcript.pyannote[508].start |
4848.69096875 |
transcript.pyannote[508].end |
4850.91846875 |
transcript.pyannote[509].speaker |
SPEAKER_44 |
transcript.pyannote[509].start |
4851.61034375 |
transcript.pyannote[509].end |
4852.53846875 |
transcript.pyannote[510].speaker |
SPEAKER_43 |
transcript.pyannote[510].start |
4858.81596875 |
transcript.pyannote[510].end |
4858.83284375 |
transcript.pyannote[511].speaker |
SPEAKER_20 |
transcript.pyannote[511].start |
4858.83284375 |
transcript.pyannote[511].end |
4858.84971875 |
transcript.pyannote[512].speaker |
SPEAKER_32 |
transcript.pyannote[512].start |
4858.84971875 |
transcript.pyannote[512].end |
4858.86659375 |
transcript.pyannote[513].speaker |
SPEAKER_20 |
transcript.pyannote[513].start |
4858.86659375 |
transcript.pyannote[513].end |
4858.90034375 |
transcript.pyannote[514].speaker |
SPEAKER_32 |
transcript.pyannote[514].start |
4858.90034375 |
transcript.pyannote[514].end |
4859.25471875 |
transcript.pyannote[515].speaker |
SPEAKER_20 |
transcript.pyannote[515].start |
4859.54159375 |
transcript.pyannote[515].end |
4860.67221875 |
transcript.pyannote[516].speaker |
SPEAKER_20 |
transcript.pyannote[516].start |
4861.48221875 |
transcript.pyannote[516].end |
4862.78159375 |
transcript.pyannote[517].speaker |
SPEAKER_20 |
transcript.pyannote[517].start |
4863.40596875 |
transcript.pyannote[517].end |
4864.21596875 |
transcript.pyannote[518].speaker |
SPEAKER_20 |
transcript.pyannote[518].start |
4864.40159375 |
transcript.pyannote[518].end |
4865.22846875 |
transcript.pyannote[519].speaker |
SPEAKER_20 |
transcript.pyannote[519].start |
4866.44346875 |
transcript.pyannote[519].end |
4866.96659375 |
transcript.pyannote[520].speaker |
SPEAKER_20 |
transcript.pyannote[520].start |
4867.64159375 |
transcript.pyannote[520].end |
4869.32909375 |
transcript.pyannote[521].speaker |
SPEAKER_20 |
transcript.pyannote[521].start |
4869.68346875 |
transcript.pyannote[521].end |
4870.54409375 |
transcript.pyannote[522].speaker |
SPEAKER_20 |
transcript.pyannote[522].start |
4870.74659375 |
transcript.pyannote[522].end |
4871.25284375 |
transcript.pyannote[523].speaker |
SPEAKER_20 |
transcript.pyannote[523].start |
4871.92784375 |
transcript.pyannote[523].end |
4873.26096875 |
transcript.pyannote[524].speaker |
SPEAKER_20 |
transcript.pyannote[524].start |
4873.58159375 |
transcript.pyannote[524].end |
4874.67846875 |
transcript.pyannote[525].speaker |
SPEAKER_20 |
transcript.pyannote[525].start |
4875.43784375 |
transcript.pyannote[525].end |
4878.34034375 |
transcript.pyannote[526].speaker |
SPEAKER_20 |
transcript.pyannote[526].start |
4879.25159375 |
transcript.pyannote[526].end |
4880.77034375 |
transcript.pyannote[527].speaker |
SPEAKER_20 |
transcript.pyannote[527].start |
4881.20909375 |
transcript.pyannote[527].end |
4883.67284375 |
transcript.pyannote[528].speaker |
SPEAKER_20 |
transcript.pyannote[528].start |
4883.79096875 |
transcript.pyannote[528].end |
4886.60909375 |
transcript.pyannote[529].speaker |
SPEAKER_20 |
transcript.pyannote[529].start |
4887.25034375 |
transcript.pyannote[529].end |
4888.14471875 |
transcript.pyannote[530].speaker |
SPEAKER_20 |
transcript.pyannote[530].start |
4888.16159375 |
transcript.pyannote[530].end |
4889.08971875 |
transcript.pyannote[531].speaker |
SPEAKER_20 |
transcript.pyannote[531].start |
4889.15721875 |
transcript.pyannote[531].end |
4890.03471875 |
transcript.pyannote[532].speaker |
SPEAKER_20 |
transcript.pyannote[532].start |
4892.36346875 |
transcript.pyannote[532].end |
4892.93721875 |
transcript.pyannote[533].speaker |
SPEAKER_20 |
transcript.pyannote[533].start |
4893.47721875 |
transcript.pyannote[533].end |
4894.62471875 |
transcript.pyannote[534].speaker |
SPEAKER_20 |
transcript.pyannote[534].start |
4895.21534375 |
transcript.pyannote[534].end |
4896.73409375 |
transcript.pyannote[535].speaker |
SPEAKER_20 |
transcript.pyannote[535].start |
4897.12221875 |
transcript.pyannote[535].end |
4904.10846875 |
transcript.pyannote[536].speaker |
SPEAKER_20 |
transcript.pyannote[536].start |
4904.51346875 |
transcript.pyannote[536].end |
4906.16721875 |
transcript.pyannote[537].speaker |
SPEAKER_20 |
transcript.pyannote[537].start |
4907.17971875 |
transcript.pyannote[537].end |
4907.95596875 |
transcript.pyannote[538].speaker |
SPEAKER_20 |
transcript.pyannote[538].start |
4908.15846875 |
transcript.pyannote[538].end |
4912.25909375 |
transcript.pyannote[539].speaker |
SPEAKER_20 |
transcript.pyannote[539].start |
4912.59659375 |
transcript.pyannote[539].end |
4918.95846875 |
transcript.pyannote[540].speaker |
SPEAKER_20 |
transcript.pyannote[540].start |
4919.97096875 |
transcript.pyannote[540].end |
4920.47721875 |
transcript.pyannote[541].speaker |
SPEAKER_48 |
transcript.pyannote[541].start |
4921.64159375 |
transcript.pyannote[541].end |
4929.55596875 |
transcript.pyannote[542].speaker |
SPEAKER_20 |
transcript.pyannote[542].start |
4927.90221875 |
transcript.pyannote[542].end |
4928.74596875 |
transcript.pyannote[543].speaker |
SPEAKER_48 |
transcript.pyannote[543].start |
4930.77096875 |
transcript.pyannote[543].end |
4932.67784375 |
transcript.pyannote[544].speaker |
SPEAKER_48 |
transcript.pyannote[544].start |
4933.23471875 |
transcript.pyannote[544].end |
4936.03596875 |
transcript.pyannote[545].speaker |
SPEAKER_20 |
transcript.pyannote[545].start |
4936.03596875 |
transcript.pyannote[545].end |
4937.60534375 |
transcript.pyannote[546].speaker |
SPEAKER_20 |
transcript.pyannote[546].start |
4938.24659375 |
transcript.pyannote[546].end |
4939.57971875 |
transcript.pyannote[547].speaker |
SPEAKER_20 |
transcript.pyannote[547].start |
4940.17034375 |
transcript.pyannote[547].end |
4941.16596875 |
transcript.pyannote[548].speaker |
SPEAKER_20 |
transcript.pyannote[548].start |
4941.46971875 |
transcript.pyannote[548].end |
4942.12784375 |
transcript.pyannote[549].speaker |
SPEAKER_20 |
transcript.pyannote[549].start |
4942.53284375 |
transcript.pyannote[549].end |
4943.68034375 |
transcript.pyannote[550].speaker |
SPEAKER_20 |
transcript.pyannote[550].start |
4944.25409375 |
transcript.pyannote[550].end |
4949.13096875 |
transcript.pyannote[551].speaker |
SPEAKER_48 |
transcript.pyannote[551].start |
4949.13096875 |
transcript.pyannote[551].end |
4955.40846875 |
transcript.pyannote[552].speaker |
SPEAKER_20 |
transcript.pyannote[552].start |
4949.58659375 |
transcript.pyannote[552].end |
4950.39659375 |
transcript.pyannote[553].speaker |
SPEAKER_20 |
transcript.pyannote[553].start |
4951.17284375 |
transcript.pyannote[553].end |
4951.98284375 |
transcript.pyannote[554].speaker |
SPEAKER_20 |
transcript.pyannote[554].start |
4953.87284375 |
transcript.pyannote[554].end |
4959.13784375 |
transcript.pyannote[555].speaker |
SPEAKER_20 |
transcript.pyannote[555].start |
4959.81284375 |
transcript.pyannote[555].end |
4963.40721875 |
transcript.pyannote[556].speaker |
SPEAKER_20 |
transcript.pyannote[556].start |
4963.94721875 |
transcript.pyannote[556].end |
4966.07346875 |
transcript.pyannote[557].speaker |
SPEAKER_20 |
transcript.pyannote[557].start |
4966.52909375 |
transcript.pyannote[557].end |
4969.19534375 |
transcript.pyannote[558].speaker |
SPEAKER_20 |
transcript.pyannote[558].start |
4969.92096875 |
transcript.pyannote[558].end |
4970.76471875 |
transcript.pyannote[559].speaker |
SPEAKER_20 |
transcript.pyannote[559].start |
4971.50721875 |
transcript.pyannote[559].end |
4974.20721875 |
transcript.pyannote[560].speaker |
SPEAKER_48 |
transcript.pyannote[560].start |
4974.20721875 |
transcript.pyannote[560].end |
4974.27471875 |
transcript.pyannote[561].speaker |
SPEAKER_48 |
transcript.pyannote[561].start |
4974.76409375 |
transcript.pyannote[561].end |
4978.18971875 |
transcript.pyannote[562].speaker |
SPEAKER_20 |
transcript.pyannote[562].start |
4976.35034375 |
transcript.pyannote[562].end |
4977.58221875 |
transcript.pyannote[563].speaker |
SPEAKER_48 |
transcript.pyannote[563].start |
4979.05034375 |
transcript.pyannote[563].end |
4982.84721875 |
transcript.pyannote[564].speaker |
SPEAKER_20 |
transcript.pyannote[564].start |
4980.68721875 |
transcript.pyannote[564].end |
4983.99471875 |
transcript.pyannote[565].speaker |
SPEAKER_20 |
transcript.pyannote[565].start |
4984.70346875 |
transcript.pyannote[565].end |
4985.49659375 |
transcript.pyannote[566].speaker |
SPEAKER_48 |
transcript.pyannote[566].start |
4985.49659375 |
transcript.pyannote[566].end |
4991.09909375 |
transcript.pyannote[567].speaker |
SPEAKER_20 |
transcript.pyannote[567].start |
4986.57659375 |
transcript.pyannote[567].end |
4987.96034375 |
transcript.pyannote[568].speaker |
SPEAKER_20 |
transcript.pyannote[568].start |
4990.40721875 |
transcript.pyannote[568].end |
4993.17471875 |
transcript.pyannote[569].speaker |
SPEAKER_20 |
transcript.pyannote[569].start |
4993.71471875 |
transcript.pyannote[569].end |
4996.76909375 |
transcript.pyannote[570].speaker |
SPEAKER_48 |
transcript.pyannote[570].start |
4996.76909375 |
transcript.pyannote[570].end |
4996.78596875 |
transcript.pyannote[571].speaker |
SPEAKER_20 |
transcript.pyannote[571].start |
4996.78596875 |
transcript.pyannote[571].end |
4996.87034375 |
transcript.pyannote[572].speaker |
SPEAKER_20 |
transcript.pyannote[572].start |
4996.88721875 |
transcript.pyannote[572].end |
4996.90409375 |
transcript.pyannote[573].speaker |
SPEAKER_20 |
transcript.pyannote[573].start |
4997.03909375 |
transcript.pyannote[573].end |
5005.49346875 |
transcript.pyannote[574].speaker |
SPEAKER_20 |
transcript.pyannote[574].start |
5005.76346875 |
transcript.pyannote[574].end |
5011.92284375 |
transcript.pyannote[575].speaker |
SPEAKER_20 |
transcript.pyannote[575].start |
5012.51346875 |
transcript.pyannote[575].end |
5014.97721875 |
transcript.pyannote[576].speaker |
SPEAKER_48 |
transcript.pyannote[576].start |
5014.97721875 |
transcript.pyannote[576].end |
5024.03909375 |
transcript.pyannote[577].speaker |
SPEAKER_20 |
transcript.pyannote[577].start |
5023.36409375 |
transcript.pyannote[577].end |
5026.19909375 |
transcript.pyannote[578].speaker |
SPEAKER_20 |
transcript.pyannote[578].start |
5026.55346875 |
transcript.pyannote[578].end |
5027.80221875 |
transcript.pyannote[579].speaker |
SPEAKER_20 |
transcript.pyannote[579].start |
5028.49409375 |
transcript.pyannote[579].end |
5029.75971875 |
transcript.pyannote[580].speaker |
SPEAKER_48 |
transcript.pyannote[580].start |
5029.75971875 |
transcript.pyannote[580].end |
5034.04596875 |
transcript.pyannote[581].speaker |
SPEAKER_48 |
transcript.pyannote[581].start |
5034.16409375 |
transcript.pyannote[581].end |
5038.73721875 |
transcript.pyannote[582].speaker |
SPEAKER_48 |
transcript.pyannote[582].start |
5038.85534375 |
transcript.pyannote[582].end |
5041.28534375 |
transcript.pyannote[583].speaker |
SPEAKER_20 |
transcript.pyannote[583].start |
5041.28534375 |
transcript.pyannote[583].end |
5041.30221875 |
transcript.pyannote[584].speaker |
SPEAKER_20 |
transcript.pyannote[584].start |
5041.89284375 |
transcript.pyannote[584].end |
5041.90971875 |
transcript.pyannote[585].speaker |
SPEAKER_48 |
transcript.pyannote[585].start |
5041.90971875 |
transcript.pyannote[585].end |
5043.09096875 |
transcript.pyannote[586].speaker |
SPEAKER_20 |
transcript.pyannote[586].start |
5043.09096875 |
transcript.pyannote[586].end |
5043.10784375 |
transcript.pyannote[587].speaker |
SPEAKER_48 |
transcript.pyannote[587].start |
5043.10784375 |
transcript.pyannote[587].end |
5043.14159375 |
transcript.pyannote[588].speaker |
SPEAKER_20 |
transcript.pyannote[588].start |
5043.14159375 |
transcript.pyannote[588].end |
5043.19221875 |
transcript.pyannote[589].speaker |
SPEAKER_48 |
transcript.pyannote[589].start |
5043.19221875 |
transcript.pyannote[589].end |
5046.83721875 |
transcript.pyannote[590].speaker |
SPEAKER_48 |
transcript.pyannote[590].start |
5047.90034375 |
transcript.pyannote[590].end |
5053.94159375 |
transcript.pyannote[591].speaker |
SPEAKER_20 |
transcript.pyannote[591].start |
5052.45659375 |
transcript.pyannote[591].end |
5053.89096875 |
transcript.pyannote[592].speaker |
SPEAKER_48 |
transcript.pyannote[592].start |
5054.59971875 |
transcript.pyannote[592].end |
5066.26034375 |
transcript.pyannote[593].speaker |
SPEAKER_36 |
transcript.pyannote[593].start |
5065.21409375 |
transcript.pyannote[593].end |
5066.15909375 |
transcript.pyannote[594].speaker |
SPEAKER_36 |
transcript.pyannote[594].start |
5066.26034375 |
transcript.pyannote[594].end |
5066.73284375 |
transcript.pyannote[595].speaker |
SPEAKER_48 |
transcript.pyannote[595].start |
5066.73284375 |
transcript.pyannote[595].end |
5067.03659375 |
transcript.pyannote[596].speaker |
SPEAKER_20 |
transcript.pyannote[596].start |
5067.03659375 |
transcript.pyannote[596].end |
5071.37346875 |
transcript.pyannote[597].speaker |
SPEAKER_20 |
transcript.pyannote[597].start |
5071.44096875 |
transcript.pyannote[597].end |
5080.06409375 |
transcript.pyannote[598].speaker |
SPEAKER_48 |
transcript.pyannote[598].start |
5080.19909375 |
transcript.pyannote[598].end |
5080.21596875 |
transcript.pyannote[599].speaker |
SPEAKER_46 |
transcript.pyannote[599].start |
5080.21596875 |
transcript.pyannote[599].end |
5080.68846875 |
transcript.pyannote[600].speaker |
SPEAKER_20 |
transcript.pyannote[600].start |
5080.68846875 |
transcript.pyannote[600].end |
5081.17784375 |
transcript.pyannote[601].speaker |
SPEAKER_46 |
transcript.pyannote[601].start |
5080.70534375 |
transcript.pyannote[601].end |
5080.77284375 |
transcript.pyannote[602].speaker |
SPEAKER_48 |
transcript.pyannote[602].start |
5080.77284375 |
transcript.pyannote[602].end |
5080.80659375 |
transcript.pyannote[603].speaker |
SPEAKER_20 |
transcript.pyannote[603].start |
5081.54909375 |
transcript.pyannote[603].end |
5084.02971875 |
transcript.pyannote[604].speaker |
SPEAKER_20 |
transcript.pyannote[604].start |
5084.89034375 |
transcript.pyannote[604].end |
5093.09159375 |
transcript.pyannote[605].speaker |
SPEAKER_48 |
transcript.pyannote[605].start |
5085.49784375 |
transcript.pyannote[605].end |
5089.78409375 |
transcript.pyannote[606].speaker |
SPEAKER_20 |
transcript.pyannote[606].start |
5093.46284375 |
transcript.pyannote[606].end |
5094.69471875 |
transcript.pyannote[607].speaker |
SPEAKER_20 |
transcript.pyannote[607].start |
5097.25971875 |
transcript.pyannote[607].end |
5099.26784375 |
transcript.pyannote[608].speaker |
SPEAKER_42 |
transcript.pyannote[608].start |
5100.01034375 |
transcript.pyannote[608].end |
5100.85409375 |
transcript.pyannote[609].speaker |
SPEAKER_20 |
transcript.pyannote[609].start |
5106.94596875 |
transcript.pyannote[609].end |
5107.92471875 |
transcript.pyannote[610].speaker |
SPEAKER_20 |
transcript.pyannote[610].start |
5108.41409375 |
transcript.pyannote[610].end |
5108.78534375 |
transcript.pyannote[611].speaker |
SPEAKER_20 |
transcript.pyannote[611].start |
5109.27471875 |
transcript.pyannote[611].end |
5112.12659375 |
transcript.pyannote[612].speaker |
SPEAKER_20 |
transcript.pyannote[612].start |
5112.43034375 |
transcript.pyannote[612].end |
5118.10034375 |
transcript.pyannote[613].speaker |
SPEAKER_20 |
transcript.pyannote[613].start |
5118.80909375 |
transcript.pyannote[613].end |
5119.99034375 |
transcript.pyannote[614].speaker |
SPEAKER_20 |
transcript.pyannote[614].start |
5120.36159375 |
transcript.pyannote[614].end |
5120.78346875 |
transcript.pyannote[615].speaker |
SPEAKER_20 |
transcript.pyannote[615].start |
5120.96909375 |
transcript.pyannote[615].end |
5126.35221875 |
transcript.pyannote[616].speaker |
SPEAKER_20 |
transcript.pyannote[616].start |
5126.67284375 |
transcript.pyannote[616].end |
5136.17346875 |
transcript.pyannote[617].speaker |
SPEAKER_54 |
transcript.pyannote[617].start |
5135.09346875 |
transcript.pyannote[617].end |
5147.27721875 |
transcript.pyannote[618].speaker |
SPEAKER_20 |
transcript.pyannote[618].start |
5137.15221875 |
transcript.pyannote[618].end |
5137.87784375 |
transcript.pyannote[619].speaker |
SPEAKER_20 |
transcript.pyannote[619].start |
5141.52284375 |
transcript.pyannote[619].end |
5142.29909375 |
transcript.pyannote[620].speaker |
SPEAKER_20 |
transcript.pyannote[620].start |
5145.97784375 |
transcript.pyannote[620].end |
5150.26409375 |
transcript.pyannote[621].speaker |
SPEAKER_54 |
transcript.pyannote[621].start |
5150.26409375 |
transcript.pyannote[621].end |
5150.29784375 |
transcript.pyannote[622].speaker |
SPEAKER_20 |
transcript.pyannote[622].start |
5150.29784375 |
transcript.pyannote[622].end |
5152.39034375 |
transcript.pyannote[623].speaker |
SPEAKER_54 |
transcript.pyannote[623].start |
5150.60159375 |
transcript.pyannote[623].end |
5160.43971875 |
transcript.pyannote[624].speaker |
SPEAKER_20 |
transcript.pyannote[624].start |
5152.54221875 |
transcript.pyannote[624].end |
5153.85846875 |
transcript.pyannote[625].speaker |
SPEAKER_20 |
transcript.pyannote[625].start |
5154.78659375 |
transcript.pyannote[625].end |
5156.28846875 |
transcript.pyannote[626].speaker |
SPEAKER_20 |
transcript.pyannote[626].start |
5157.72284375 |
transcript.pyannote[626].end |
5160.54096875 |
transcript.pyannote[627].speaker |
SPEAKER_20 |
transcript.pyannote[627].start |
5161.03034375 |
transcript.pyannote[627].end |
5166.98721875 |
transcript.pyannote[628].speaker |
SPEAKER_54 |
transcript.pyannote[628].start |
5166.98721875 |
transcript.pyannote[628].end |
5175.72846875 |
transcript.pyannote[629].speaker |
SPEAKER_20 |
transcript.pyannote[629].start |
5167.67909375 |
transcript.pyannote[629].end |
5168.67471875 |
transcript.pyannote[630].speaker |
SPEAKER_20 |
transcript.pyannote[630].start |
5171.42534375 |
transcript.pyannote[630].end |
5172.04971875 |
transcript.pyannote[631].speaker |
SPEAKER_20 |
transcript.pyannote[631].start |
5172.47159375 |
transcript.pyannote[631].end |
5174.44596875 |
transcript.pyannote[632].speaker |
SPEAKER_20 |
transcript.pyannote[632].start |
5175.72846875 |
transcript.pyannote[632].end |
5175.81284375 |
transcript.pyannote[633].speaker |
SPEAKER_54 |
transcript.pyannote[633].start |
5175.81284375 |
transcript.pyannote[633].end |
5198.81346875 |
transcript.pyannote[634].speaker |
SPEAKER_20 |
transcript.pyannote[634].start |
5175.88034375 |
transcript.pyannote[634].end |
5176.84221875 |
transcript.pyannote[635].speaker |
SPEAKER_20 |
transcript.pyannote[635].start |
5177.06159375 |
transcript.pyannote[635].end |
5178.90096875 |
transcript.pyannote[636].speaker |
SPEAKER_19 |
transcript.pyannote[636].start |
5178.90096875 |
transcript.pyannote[636].end |
5178.91784375 |
transcript.pyannote[637].speaker |
SPEAKER_20 |
transcript.pyannote[637].start |
5187.76034375 |
transcript.pyannote[637].end |
5189.70096875 |
transcript.pyannote[638].speaker |
SPEAKER_20 |
transcript.pyannote[638].start |
5191.57409375 |
transcript.pyannote[638].end |
5192.08034375 |
transcript.pyannote[639].speaker |
SPEAKER_59 |
transcript.pyannote[639].start |
5192.08034375 |
transcript.pyannote[639].end |
5192.09721875 |
transcript.pyannote[640].speaker |
SPEAKER_00 |
transcript.pyannote[640].start |
5192.09721875 |
transcript.pyannote[640].end |
5192.11409375 |
transcript.pyannote[641].speaker |
SPEAKER_54 |
transcript.pyannote[641].start |
5198.94846875 |
transcript.pyannote[641].end |
5199.20159375 |
transcript.pyannote[642].speaker |
SPEAKER_20 |
transcript.pyannote[642].start |
5199.20159375 |
transcript.pyannote[642].end |
5202.61034375 |
transcript.pyannote[643].speaker |
SPEAKER_20 |
transcript.pyannote[643].start |
5203.03221875 |
transcript.pyannote[643].end |
5203.50471875 |
transcript.pyannote[644].speaker |
SPEAKER_20 |
transcript.pyannote[644].start |
5203.80846875 |
transcript.pyannote[644].end |
5210.57534375 |
transcript.pyannote[645].speaker |
SPEAKER_54 |
transcript.pyannote[645].start |
5208.09471875 |
transcript.pyannote[645].end |
5220.85221875 |
transcript.pyannote[646].speaker |
SPEAKER_20 |
transcript.pyannote[646].start |
5219.21534375 |
transcript.pyannote[646].end |
5222.28659375 |
transcript.pyannote[647].speaker |
SPEAKER_54 |
transcript.pyannote[647].start |
5222.67471875 |
transcript.pyannote[647].end |
5223.53534375 |
transcript.pyannote[648].speaker |
SPEAKER_20 |
transcript.pyannote[648].start |
5223.92346875 |
transcript.pyannote[648].end |
5229.07034375 |
transcript.pyannote[649].speaker |
SPEAKER_54 |
transcript.pyannote[649].start |
5227.77096875 |
transcript.pyannote[649].end |
5239.85346875 |
transcript.pyannote[650].speaker |
SPEAKER_20 |
transcript.pyannote[650].start |
5232.02346875 |
transcript.pyannote[650].end |
5233.33971875 |
transcript.pyannote[651].speaker |
SPEAKER_20 |
transcript.pyannote[651].start |
5235.17909375 |
transcript.pyannote[651].end |
5236.52909375 |
transcript.pyannote[652].speaker |
SPEAKER_20 |
transcript.pyannote[652].start |
5237.23784375 |
transcript.pyannote[652].end |
5242.30034375 |
transcript.pyannote[653].speaker |
SPEAKER_54 |
transcript.pyannote[653].start |
5240.41034375 |
transcript.pyannote[653].end |
5240.84909375 |
transcript.pyannote[654].speaker |
SPEAKER_20 |
transcript.pyannote[654].start |
5242.70534375 |
transcript.pyannote[654].end |
5244.73034375 |
transcript.pyannote[655].speaker |
SPEAKER_09 |
transcript.pyannote[655].start |
5244.73034375 |
transcript.pyannote[655].end |
5245.32096875 |
transcript.pyannote[656].speaker |
SPEAKER_20 |
transcript.pyannote[656].start |
5246.72159375 |
transcript.pyannote[656].end |
5247.91971875 |
transcript.pyannote[657].speaker |
SPEAKER_20 |
transcript.pyannote[657].start |
5248.59471875 |
transcript.pyannote[657].end |
5250.99096875 |
transcript.pyannote[658].speaker |
SPEAKER_20 |
transcript.pyannote[658].start |
5251.39596875 |
transcript.pyannote[658].end |
5253.13409375 |
transcript.pyannote[659].speaker |
SPEAKER_20 |
transcript.pyannote[659].start |
5253.58971875 |
transcript.pyannote[659].end |
5256.37409375 |
transcript.pyannote[660].speaker |
SPEAKER_20 |
transcript.pyannote[660].start |
5256.93096875 |
transcript.pyannote[660].end |
5259.27659375 |
transcript.pyannote[661].speaker |
SPEAKER_20 |
transcript.pyannote[661].start |
5260.77846875 |
transcript.pyannote[661].end |
5261.40284375 |
transcript.pyannote[662].speaker |
SPEAKER_20 |
transcript.pyannote[662].start |
5262.24659375 |
transcript.pyannote[662].end |
5263.19159375 |
transcript.pyannote[663].speaker |
SPEAKER_20 |
transcript.pyannote[663].start |
5263.63034375 |
transcript.pyannote[663].end |
5264.77784375 |
transcript.pyannote[664].speaker |
SPEAKER_20 |
transcript.pyannote[664].start |
5265.04784375 |
transcript.pyannote[664].end |
5265.95909375 |
transcript.pyannote[665].speaker |
SPEAKER_20 |
transcript.pyannote[665].start |
5266.24596875 |
transcript.pyannote[665].end |
5281.97346875 |
transcript.pyannote[666].speaker |
SPEAKER_20 |
transcript.pyannote[666].start |
5282.29409375 |
transcript.pyannote[666].end |
5283.47534375 |
transcript.pyannote[667].speaker |
SPEAKER_36 |
transcript.pyannote[667].start |
5283.88034375 |
transcript.pyannote[667].end |
5290.98471875 |
transcript.pyannote[668].speaker |
SPEAKER_20 |
transcript.pyannote[668].start |
5289.71909375 |
transcript.pyannote[668].end |
5301.61596875 |
transcript.pyannote[669].speaker |
SPEAKER_20 |
transcript.pyannote[669].start |
5302.62846875 |
transcript.pyannote[669].end |
5304.40034375 |
transcript.pyannote[670].speaker |
SPEAKER_20 |
transcript.pyannote[670].start |
5305.37909375 |
transcript.pyannote[670].end |
5306.61096875 |
transcript.pyannote[671].speaker |
SPEAKER_36 |
transcript.pyannote[671].start |
5306.61096875 |
transcript.pyannote[671].end |
5311.43721875 |
transcript.pyannote[672].speaker |
SPEAKER_20 |
transcript.pyannote[672].start |
5311.89284375 |
transcript.pyannote[672].end |
5312.29784375 |
transcript.pyannote[673].speaker |
SPEAKER_20 |
transcript.pyannote[673].start |
5312.73659375 |
transcript.pyannote[673].end |
5315.08221875 |
transcript.pyannote[674].speaker |
SPEAKER_20 |
transcript.pyannote[674].start |
5315.25096875 |
transcript.pyannote[674].end |
5316.70221875 |
transcript.pyannote[675].speaker |
SPEAKER_36 |
transcript.pyannote[675].start |
5317.47846875 |
transcript.pyannote[675].end |
5323.04721875 |
transcript.pyannote[676].speaker |
SPEAKER_20 |
transcript.pyannote[676].start |
5323.18221875 |
transcript.pyannote[676].end |
5325.39284375 |
transcript.pyannote[677].speaker |
SPEAKER_36 |
transcript.pyannote[677].start |
5325.79784375 |
transcript.pyannote[677].end |
5326.43909375 |
transcript.pyannote[678].speaker |
SPEAKER_36 |
transcript.pyannote[678].start |
5327.40096875 |
transcript.pyannote[678].end |
5331.45096875 |
transcript.pyannote[679].speaker |
SPEAKER_20 |
transcript.pyannote[679].start |
5329.30784375 |
transcript.pyannote[679].end |
5331.28221875 |
transcript.pyannote[680].speaker |
SPEAKER_20 |
transcript.pyannote[680].start |
5331.45096875 |
transcript.pyannote[680].end |
5332.02471875 |
transcript.pyannote[681].speaker |
SPEAKER_36 |
transcript.pyannote[681].start |
5331.50159375 |
transcript.pyannote[681].end |
5331.51846875 |
transcript.pyannote[682].speaker |
SPEAKER_36 |
transcript.pyannote[682].start |
5332.48034375 |
transcript.pyannote[682].end |
5333.74596875 |
transcript.pyannote[683].speaker |
SPEAKER_19 |
transcript.pyannote[683].start |
5333.83034375 |
transcript.pyannote[683].end |
5334.82596875 |
transcript.pyannote[684].speaker |
SPEAKER_20 |
transcript.pyannote[684].start |
5334.82596875 |
transcript.pyannote[684].end |
5334.97784375 |
transcript.pyannote[685].speaker |
SPEAKER_36 |
transcript.pyannote[685].start |
5334.97784375 |
transcript.pyannote[685].end |
5338.06596875 |
transcript.pyannote[686].speaker |
SPEAKER_20 |
transcript.pyannote[686].start |
5337.99846875 |
transcript.pyannote[686].end |
5339.50034375 |
transcript.pyannote[687].speaker |
SPEAKER_36 |
transcript.pyannote[687].start |
5338.11659375 |
transcript.pyannote[687].end |
5339.60159375 |
transcript.pyannote[688].speaker |
SPEAKER_20 |
transcript.pyannote[688].start |
5339.60159375 |
transcript.pyannote[688].end |
5339.63534375 |
transcript.pyannote[689].speaker |
SPEAKER_20 |
transcript.pyannote[689].start |
5340.07409375 |
transcript.pyannote[689].end |
5343.90471875 |
transcript.pyannote[690].speaker |
SPEAKER_20 |
transcript.pyannote[690].start |
5344.37721875 |
transcript.pyannote[690].end |
5347.43159375 |
transcript.pyannote[691].speaker |
SPEAKER_20 |
transcript.pyannote[691].start |
5347.68471875 |
transcript.pyannote[691].end |
5348.95034375 |
transcript.pyannote[692].speaker |
SPEAKER_20 |
transcript.pyannote[692].start |
5349.15284375 |
transcript.pyannote[692].end |
5349.87846875 |
transcript.pyannote[693].speaker |
SPEAKER_19 |
transcript.pyannote[693].start |
5350.97534375 |
transcript.pyannote[693].end |
5351.41409375 |
transcript.pyannote[694].speaker |
SPEAKER_20 |
transcript.pyannote[694].start |
5351.41409375 |
transcript.pyannote[694].end |
5352.40971875 |
transcript.pyannote[695].speaker |
SPEAKER_36 |
transcript.pyannote[695].start |
5351.44784375 |
transcript.pyannote[695].end |
5358.56909375 |
transcript.pyannote[696].speaker |
SPEAKER_20 |
transcript.pyannote[696].start |
5357.38784375 |
transcript.pyannote[696].end |
5358.41721875 |
transcript.pyannote[697].speaker |
SPEAKER_20 |
transcript.pyannote[697].start |
5358.63659375 |
transcript.pyannote[697].end |
5358.67034375 |
transcript.pyannote[698].speaker |
SPEAKER_36 |
transcript.pyannote[698].start |
5358.67034375 |
transcript.pyannote[698].end |
5358.68721875 |
transcript.pyannote[699].speaker |
SPEAKER_20 |
transcript.pyannote[699].start |
5358.68721875 |
transcript.pyannote[699].end |
5359.86846875 |
transcript.pyannote[700].speaker |
SPEAKER_36 |
transcript.pyannote[700].start |
5358.83909375 |
transcript.pyannote[700].end |
5358.85596875 |
transcript.pyannote[701].speaker |
SPEAKER_36 |
transcript.pyannote[701].start |
5358.87284375 |
transcript.pyannote[701].end |
5359.69971875 |
transcript.pyannote[702].speaker |
SPEAKER_20 |
transcript.pyannote[702].start |
5360.66159375 |
transcript.pyannote[702].end |
5362.55159375 |
transcript.pyannote[703].speaker |
SPEAKER_36 |
transcript.pyannote[703].start |
5362.88909375 |
transcript.pyannote[703].end |
5363.95221875 |
transcript.pyannote[704].speaker |
SPEAKER_20 |
transcript.pyannote[704].start |
5363.37846875 |
transcript.pyannote[704].end |
5365.25159375 |
transcript.pyannote[705].speaker |
SPEAKER_36 |
transcript.pyannote[705].start |
5364.88034375 |
transcript.pyannote[705].end |
5368.08659375 |
transcript.pyannote[706].speaker |
SPEAKER_20 |
transcript.pyannote[706].start |
5368.17096875 |
transcript.pyannote[706].end |
5369.68971875 |
transcript.pyannote[707].speaker |
SPEAKER_36 |
transcript.pyannote[707].start |
5370.01034375 |
transcript.pyannote[707].end |
5370.82034375 |
transcript.pyannote[708].speaker |
SPEAKER_20 |
transcript.pyannote[708].start |
5371.24221875 |
transcript.pyannote[708].end |
5372.20409375 |
transcript.pyannote[709].speaker |
SPEAKER_36 |
transcript.pyannote[709].start |
5372.42346875 |
transcript.pyannote[709].end |
5372.64284375 |
transcript.pyannote[710].speaker |
SPEAKER_36 |
transcript.pyannote[710].start |
5374.12784375 |
transcript.pyannote[710].end |
5380.65846875 |
transcript.pyannote[711].speaker |
SPEAKER_20 |
transcript.pyannote[711].start |
5381.43471875 |
transcript.pyannote[711].end |
5381.46846875 |
transcript.pyannote[712].speaker |
SPEAKER_36 |
transcript.pyannote[712].start |
5381.46846875 |
transcript.pyannote[712].end |
5382.05909375 |
transcript.pyannote[713].speaker |
SPEAKER_43 |
transcript.pyannote[713].start |
5382.05909375 |
transcript.pyannote[713].end |
5382.10971875 |
transcript.pyannote[714].speaker |
SPEAKER_36 |
transcript.pyannote[714].start |
5382.10971875 |
transcript.pyannote[714].end |
5382.14346875 |
transcript.pyannote[715].speaker |
SPEAKER_43 |
transcript.pyannote[715].start |
5383.02096875 |
transcript.pyannote[715].end |
5386.96971875 |
transcript.pyannote[716].speaker |
SPEAKER_01 |
transcript.pyannote[716].start |
5396.74034375 |
transcript.pyannote[716].end |
5400.60471875 |
transcript.pyannote[717].speaker |
SPEAKER_44 |
transcript.pyannote[717].start |
5400.92534375 |
transcript.pyannote[717].end |
5402.84909375 |
transcript.pyannote[718].speaker |
SPEAKER_01 |
transcript.pyannote[718].start |
5409.90284375 |
transcript.pyannote[718].end |
5433.71346875 |
transcript.pyannote[719].speaker |
SPEAKER_59 |
transcript.pyannote[719].start |
5418.67784375 |
transcript.pyannote[719].end |
5419.08284375 |
transcript.pyannote[720].speaker |
SPEAKER_59 |
transcript.pyannote[720].start |
5421.81659375 |
transcript.pyannote[720].end |
5422.35659375 |
transcript.pyannote[721].speaker |
SPEAKER_39 |
transcript.pyannote[721].start |
5433.89909375 |
transcript.pyannote[721].end |
5434.55721875 |
transcript.pyannote[722].speaker |
SPEAKER_01 |
transcript.pyannote[722].start |
5434.33784375 |
transcript.pyannote[722].end |
5435.97471875 |
transcript.pyannote[723].speaker |
SPEAKER_37 |
transcript.pyannote[723].start |
5435.97471875 |
transcript.pyannote[723].end |
5445.03659375 |
transcript.pyannote[724].speaker |
SPEAKER_01 |
transcript.pyannote[724].start |
5445.03659375 |
transcript.pyannote[724].end |
5449.33971875 |
transcript.pyannote[725].speaker |
SPEAKER_37 |
transcript.pyannote[725].start |
5449.33971875 |
transcript.pyannote[725].end |
5449.57596875 |
transcript.pyannote[726].speaker |
SPEAKER_47 |
transcript.pyannote[726].start |
5449.57596875 |
transcript.pyannote[726].end |
5452.05659375 |
transcript.pyannote[727].speaker |
SPEAKER_01 |
transcript.pyannote[727].start |
5452.05659375 |
transcript.pyannote[727].end |
5462.97471875 |
transcript.pyannote[728].speaker |
SPEAKER_37 |
transcript.pyannote[728].start |
5462.97471875 |
transcript.pyannote[728].end |
5493.02909375 |
transcript.pyannote[729].speaker |
SPEAKER_01 |
transcript.pyannote[729].start |
5493.02909375 |
transcript.pyannote[729].end |
5504.97659375 |
transcript.pyannote[730].speaker |
SPEAKER_37 |
transcript.pyannote[730].start |
5504.97659375 |
transcript.pyannote[730].end |
5534.03534375 |
transcript.pyannote[731].speaker |
SPEAKER_01 |
transcript.pyannote[731].start |
5534.03534375 |
transcript.pyannote[731].end |
5547.97409375 |
transcript.pyannote[732].speaker |
SPEAKER_37 |
transcript.pyannote[732].start |
5547.97409375 |
transcript.pyannote[732].end |
5576.40846875 |
transcript.pyannote[733].speaker |
SPEAKER_47 |
transcript.pyannote[733].start |
5577.50534375 |
transcript.pyannote[733].end |
5578.16346875 |
transcript.pyannote[734].speaker |
SPEAKER_37 |
transcript.pyannote[734].start |
5577.72471875 |
transcript.pyannote[734].end |
5596.03409375 |
transcript.pyannote[735].speaker |
SPEAKER_01 |
transcript.pyannote[735].start |
5596.03409375 |
transcript.pyannote[735].end |
5599.96596875 |
transcript.pyannote[736].speaker |
SPEAKER_37 |
transcript.pyannote[736].start |
5599.96596875 |
transcript.pyannote[736].end |
5600.03346875 |
transcript.pyannote[737].speaker |
SPEAKER_01 |
transcript.pyannote[737].start |
5600.03346875 |
transcript.pyannote[737].end |
5607.96471875 |
transcript.pyannote[738].speaker |
SPEAKER_37 |
transcript.pyannote[738].start |
5607.96471875 |
transcript.pyannote[738].end |
5622.76409375 |
transcript.pyannote[739].speaker |
SPEAKER_37 |
transcript.pyannote[739].start |
5623.52346875 |
transcript.pyannote[739].end |
5634.03659375 |
transcript.pyannote[740].speaker |
SPEAKER_01 |
transcript.pyannote[740].start |
5634.03659375 |
transcript.pyannote[740].end |
5636.68596875 |
transcript.pyannote[741].speaker |
SPEAKER_47 |
transcript.pyannote[741].start |
5637.66471875 |
transcript.pyannote[741].end |
5644.63409375 |
transcript.pyannote[742].speaker |
SPEAKER_01 |
transcript.pyannote[742].start |
5644.04346875 |
transcript.pyannote[742].end |
5649.29159375 |
transcript.pyannote[743].speaker |
SPEAKER_47 |
transcript.pyannote[743].start |
5644.95471875 |
transcript.pyannote[743].end |
5645.44409375 |
transcript.pyannote[744].speaker |
SPEAKER_47 |
transcript.pyannote[744].start |
5649.35909375 |
transcript.pyannote[744].end |
5658.16784375 |
transcript.pyannote[745].speaker |
SPEAKER_37 |
transcript.pyannote[745].start |
5657.37471875 |
transcript.pyannote[745].end |
5660.74971875 |
transcript.pyannote[746].speaker |
SPEAKER_47 |
transcript.pyannote[746].start |
5660.74971875 |
transcript.pyannote[746].end |
5662.08284375 |
transcript.pyannote[747].speaker |
SPEAKER_37 |
transcript.pyannote[747].start |
5661.79596875 |
transcript.pyannote[747].end |
5664.25971875 |
transcript.pyannote[748].speaker |
SPEAKER_01 |
transcript.pyannote[748].start |
5664.25971875 |
transcript.pyannote[748].end |
5664.29346875 |
transcript.pyannote[749].speaker |
SPEAKER_47 |
transcript.pyannote[749].start |
5664.31034375 |
transcript.pyannote[749].end |
5667.98909375 |
transcript.pyannote[750].speaker |
SPEAKER_01 |
transcript.pyannote[750].start |
5667.26346875 |
transcript.pyannote[750].end |
5668.47846875 |
transcript.pyannote[751].speaker |
SPEAKER_47 |
transcript.pyannote[751].start |
5668.47846875 |
transcript.pyannote[751].end |
5679.68346875 |
transcript.pyannote[752].speaker |
SPEAKER_01 |
transcript.pyannote[752].start |
5678.51909375 |
transcript.pyannote[752].end |
5681.62409375 |
transcript.pyannote[753].speaker |
SPEAKER_47 |
transcript.pyannote[753].start |
5681.18534375 |
transcript.pyannote[753].end |
5687.36159375 |
transcript.pyannote[754].speaker |
SPEAKER_37 |
transcript.pyannote[754].start |
5687.29409375 |
transcript.pyannote[754].end |
5688.34034375 |
transcript.pyannote[755].speaker |
SPEAKER_37 |
transcript.pyannote[755].start |
5688.64409375 |
transcript.pyannote[755].end |
5694.75284375 |
transcript.pyannote[756].speaker |
SPEAKER_01 |
transcript.pyannote[756].start |
5694.75284375 |
transcript.pyannote[756].end |
5694.78659375 |
transcript.pyannote[757].speaker |
SPEAKER_47 |
transcript.pyannote[757].start |
5694.98909375 |
transcript.pyannote[757].end |
5700.06846875 |
transcript.pyannote[758].speaker |
SPEAKER_37 |
transcript.pyannote[758].start |
5699.03909375 |
transcript.pyannote[758].end |
5699.05596875 |
transcript.pyannote[759].speaker |
SPEAKER_01 |
transcript.pyannote[759].start |
5699.05596875 |
transcript.pyannote[759].end |
5701.97534375 |
transcript.pyannote[760].speaker |
SPEAKER_37 |
transcript.pyannote[760].start |
5700.06846875 |
transcript.pyannote[760].end |
5700.08534375 |
transcript.pyannote[761].speaker |
SPEAKER_37 |
transcript.pyannote[761].start |
5701.97534375 |
transcript.pyannote[761].end |
5730.03846875 |
transcript.pyannote[762].speaker |
SPEAKER_01 |
transcript.pyannote[762].start |
5730.03846875 |
transcript.pyannote[762].end |
5738.96534375 |
transcript.pyannote[763].speaker |
SPEAKER_37 |
transcript.pyannote[763].start |
5738.96534375 |
transcript.pyannote[763].end |
5747.03159375 |
transcript.pyannote[764].speaker |
SPEAKER_01 |
transcript.pyannote[764].start |
5747.03159375 |
transcript.pyannote[764].end |
5755.97534375 |
transcript.pyannote[765].speaker |
SPEAKER_37 |
transcript.pyannote[765].start |
5755.97534375 |
transcript.pyannote[765].end |
5774.03159375 |
transcript.pyannote[766].speaker |
SPEAKER_01 |
transcript.pyannote[766].start |
5774.03159375 |
transcript.pyannote[766].end |
5782.97534375 |
transcript.pyannote[767].speaker |
SPEAKER_37 |
transcript.pyannote[767].start |
5782.97534375 |
transcript.pyannote[767].end |
5788.03784375 |
transcript.pyannote[768].speaker |
SPEAKER_01 |
transcript.pyannote[768].start |
5788.03784375 |
transcript.pyannote[768].end |
5794.39971875 |
transcript.pyannote[769].speaker |
SPEAKER_47 |
transcript.pyannote[769].start |
5795.02409375 |
transcript.pyannote[769].end |
5796.71159375 |
transcript.pyannote[770].speaker |
SPEAKER_01 |
transcript.pyannote[770].start |
5796.27284375 |
transcript.pyannote[770].end |
5797.97721875 |
transcript.pyannote[771].speaker |
SPEAKER_37 |
transcript.pyannote[771].start |
5796.71159375 |
transcript.pyannote[771].end |
5796.72846875 |
transcript.pyannote[772].speaker |
SPEAKER_37 |
transcript.pyannote[772].start |
5797.97721875 |
transcript.pyannote[772].end |
5807.68034375 |
transcript.pyannote[773].speaker |
SPEAKER_37 |
transcript.pyannote[773].start |
5808.45659375 |
transcript.pyannote[773].end |
5809.43534375 |
transcript.pyannote[774].speaker |
SPEAKER_37 |
transcript.pyannote[774].start |
5810.19471875 |
transcript.pyannote[774].end |
5812.45596875 |
transcript.pyannote[775].speaker |
SPEAKER_01 |
transcript.pyannote[775].start |
5812.45596875 |
transcript.pyannote[775].end |
5812.48971875 |
transcript.pyannote[776].speaker |
SPEAKER_47 |
transcript.pyannote[776].start |
5812.57409375 |
transcript.pyannote[776].end |
5818.05846875 |
transcript.pyannote[777].speaker |
SPEAKER_47 |
transcript.pyannote[777].start |
5818.17659375 |
transcript.pyannote[777].end |
5818.27784375 |
transcript.pyannote[778].speaker |
SPEAKER_01 |
transcript.pyannote[778].start |
5818.27784375 |
transcript.pyannote[778].end |
5819.27346875 |
transcript.pyannote[779].speaker |
SPEAKER_47 |
transcript.pyannote[779].start |
5819.27346875 |
transcript.pyannote[779].end |
5819.39159375 |
transcript.pyannote[780].speaker |
SPEAKER_47 |
transcript.pyannote[780].start |
5819.40846875 |
transcript.pyannote[780].end |
5823.30659375 |
transcript.pyannote[781].speaker |
SPEAKER_37 |
transcript.pyannote[781].start |
5823.30659375 |
transcript.pyannote[781].end |
5843.45534375 |
transcript.pyannote[782].speaker |
SPEAKER_47 |
transcript.pyannote[782].start |
5843.80971875 |
transcript.pyannote[782].end |
5848.72034375 |
transcript.pyannote[783].speaker |
SPEAKER_37 |
transcript.pyannote[783].start |
5848.90596875 |
transcript.pyannote[783].end |
5851.42034375 |
transcript.pyannote[784].speaker |
SPEAKER_47 |
transcript.pyannote[784].start |
5851.90971875 |
transcript.pyannote[784].end |
5852.58471875 |
transcript.pyannote[785].speaker |
SPEAKER_37 |
transcript.pyannote[785].start |
5852.55096875 |
transcript.pyannote[785].end |
5875.02846875 |
transcript.pyannote[786].speaker |
SPEAKER_01 |
transcript.pyannote[786].start |
5875.02846875 |
transcript.pyannote[786].end |
5879.31471875 |
transcript.pyannote[787].speaker |
SPEAKER_47 |
transcript.pyannote[787].start |
5879.65221875 |
transcript.pyannote[787].end |
5883.92159375 |
transcript.pyannote[788].speaker |
SPEAKER_01 |
transcript.pyannote[788].start |
5883.87096875 |
transcript.pyannote[788].end |
5884.52909375 |
transcript.pyannote[789].speaker |
SPEAKER_33 |
transcript.pyannote[789].start |
5883.92159375 |
transcript.pyannote[789].end |
5884.00596875 |
transcript.pyannote[790].speaker |
SPEAKER_33 |
transcript.pyannote[790].start |
5889.05159375 |
transcript.pyannote[790].end |
5891.65034375 |
transcript.pyannote[791].speaker |
SPEAKER_40 |
transcript.pyannote[791].start |
5898.78846875 |
transcript.pyannote[791].end |
5898.80534375 |
transcript.pyannote[792].speaker |
SPEAKER_43 |
transcript.pyannote[792].start |
5898.80534375 |
transcript.pyannote[792].end |
5902.66971875 |
transcript.pyannote[793].speaker |
SPEAKER_35 |
transcript.pyannote[793].start |
5903.10846875 |
transcript.pyannote[793].end |
5904.86346875 |
transcript.pyannote[794].speaker |
SPEAKER_43 |
transcript.pyannote[794].start |
5904.86346875 |
transcript.pyannote[794].end |
5905.06596875 |
transcript.pyannote[795].speaker |
SPEAKER_35 |
transcript.pyannote[795].start |
5905.06596875 |
transcript.pyannote[795].end |
5905.08284375 |
transcript.pyannote[796].speaker |
SPEAKER_43 |
transcript.pyannote[796].start |
5910.21284375 |
transcript.pyannote[796].end |
5910.34784375 |
transcript.pyannote[797].speaker |
SPEAKER_17 |
transcript.pyannote[797].start |
5910.34784375 |
transcript.pyannote[797].end |
5912.28846875 |
transcript.pyannote[798].speaker |
SPEAKER_43 |
transcript.pyannote[798].start |
5911.09034375 |
transcript.pyannote[798].end |
5945.00909375 |
transcript.pyannote[799].speaker |
SPEAKER_38 |
transcript.pyannote[799].start |
5915.96721875 |
transcript.pyannote[799].end |
5916.05159375 |
transcript.pyannote[800].speaker |
SPEAKER_59 |
transcript.pyannote[800].start |
5916.05159375 |
transcript.pyannote[800].end |
5916.89534375 |
transcript.pyannote[801].speaker |
SPEAKER_38 |
transcript.pyannote[801].start |
5916.89534375 |
transcript.pyannote[801].end |
5916.92909375 |
transcript.pyannote[802].speaker |
SPEAKER_59 |
transcript.pyannote[802].start |
5916.92909375 |
transcript.pyannote[802].end |
5916.94596875 |
transcript.pyannote[803].speaker |
SPEAKER_59 |
transcript.pyannote[803].start |
5944.30034375 |
transcript.pyannote[803].end |
5945.54909375 |
transcript.pyannote[804].speaker |
SPEAKER_43 |
transcript.pyannote[804].start |
5945.32971875 |
transcript.pyannote[804].end |
5963.03159375 |
transcript.pyannote[805].speaker |
SPEAKER_39 |
transcript.pyannote[805].start |
5963.03159375 |
transcript.pyannote[805].end |
5963.48721875 |
transcript.pyannote[806].speaker |
SPEAKER_43 |
transcript.pyannote[806].start |
5963.48721875 |
transcript.pyannote[806].end |
5973.15659375 |
transcript.pyannote[807].speaker |
SPEAKER_39 |
transcript.pyannote[807].start |
5963.50409375 |
transcript.pyannote[807].end |
5963.53784375 |
transcript.pyannote[808].speaker |
SPEAKER_47 |
transcript.pyannote[808].start |
5966.74409375 |
transcript.pyannote[808].end |
5967.08159375 |
transcript.pyannote[809].speaker |
SPEAKER_47 |
transcript.pyannote[809].start |
5973.49409375 |
transcript.pyannote[809].end |
5973.93284375 |
transcript.pyannote[810].speaker |
SPEAKER_43 |
transcript.pyannote[810].start |
5973.93284375 |
transcript.pyannote[810].end |
5981.61096875 |
transcript.pyannote[811].speaker |
SPEAKER_47 |
transcript.pyannote[811].start |
5977.18971875 |
transcript.pyannote[811].end |
5979.33284375 |
transcript.pyannote[812].speaker |
SPEAKER_47 |
transcript.pyannote[812].start |
5980.69971875 |
transcript.pyannote[812].end |
5983.53471875 |
transcript.pyannote[813].speaker |
SPEAKER_43 |
transcript.pyannote[813].start |
5982.99471875 |
transcript.pyannote[813].end |
5986.11659375 |
transcript.pyannote[814].speaker |
SPEAKER_47 |
transcript.pyannote[814].start |
5985.13784375 |
transcript.pyannote[814].end |
5986.20096875 |
transcript.pyannote[815].speaker |
SPEAKER_43 |
transcript.pyannote[815].start |
5986.20096875 |
transcript.pyannote[815].end |
5987.97284375 |
transcript.pyannote[816].speaker |
SPEAKER_47 |
transcript.pyannote[816].start |
5987.97284375 |
transcript.pyannote[816].end |
5994.48659375 |
transcript.pyannote[817].speaker |
SPEAKER_43 |
transcript.pyannote[817].start |
5992.59659375 |
transcript.pyannote[817].end |
6001.55721875 |
transcript.pyannote[818].speaker |
SPEAKER_47 |
transcript.pyannote[818].start |
5997.38909375 |
transcript.pyannote[818].end |
5997.84471875 |
transcript.pyannote[819].speaker |
SPEAKER_47 |
transcript.pyannote[819].start |
5998.53659375 |
transcript.pyannote[819].end |
6000.30846875 |
transcript.pyannote[820].speaker |
SPEAKER_43 |
transcript.pyannote[820].start |
6004.56096875 |
transcript.pyannote[820].end |
6020.71034375 |
transcript.pyannote[821].speaker |
SPEAKER_43 |
transcript.pyannote[821].start |
6021.30096875 |
transcript.pyannote[821].end |
6033.21471875 |
transcript.pyannote[822].speaker |
SPEAKER_43 |
transcript.pyannote[822].start |
6033.85596875 |
transcript.pyannote[822].end |
6033.87284375 |
transcript.pyannote[823].speaker |
SPEAKER_54 |
transcript.pyannote[823].start |
6033.87284375 |
transcript.pyannote[823].end |
6052.06409375 |
transcript.pyannote[824].speaker |
SPEAKER_00 |
transcript.pyannote[824].start |
6038.86784375 |
transcript.pyannote[824].end |
6039.10409375 |
transcript.pyannote[825].speaker |
SPEAKER_59 |
transcript.pyannote[825].start |
6047.81159375 |
transcript.pyannote[825].end |
6047.84534375 |
transcript.pyannote[826].speaker |
SPEAKER_43 |
transcript.pyannote[826].start |
6047.84534375 |
transcript.pyannote[826].end |
6048.16596875 |
transcript.pyannote[827].speaker |
SPEAKER_54 |
transcript.pyannote[827].start |
6052.19909375 |
transcript.pyannote[827].end |
6055.70909375 |
transcript.pyannote[828].speaker |
SPEAKER_43 |
transcript.pyannote[828].start |
6054.84846875 |
transcript.pyannote[828].end |
6069.83346875 |
transcript.pyannote[829].speaker |
SPEAKER_43 |
transcript.pyannote[829].start |
6070.28909375 |
transcript.pyannote[829].end |
6071.90909375 |
transcript.pyannote[830].speaker |
SPEAKER_43 |
transcript.pyannote[830].start |
6072.61784375 |
transcript.pyannote[830].end |
6076.39784375 |
transcript.pyannote[831].speaker |
SPEAKER_43 |
transcript.pyannote[831].start |
6076.75221875 |
transcript.pyannote[831].end |
6114.07971875 |
transcript.pyannote[832].speaker |
SPEAKER_59 |
transcript.pyannote[832].start |
6111.83534375 |
transcript.pyannote[832].end |
6111.85221875 |
transcript.pyannote[833].speaker |
SPEAKER_54 |
transcript.pyannote[833].start |
6111.85221875 |
transcript.pyannote[833].end |
6112.56096875 |
transcript.pyannote[834].speaker |
SPEAKER_59 |
transcript.pyannote[834].start |
6112.56096875 |
transcript.pyannote[834].end |
6112.59471875 |
transcript.pyannote[835].speaker |
SPEAKER_54 |
transcript.pyannote[835].start |
6114.67034375 |
transcript.pyannote[835].end |
6120.93096875 |
transcript.pyannote[836].speaker |
SPEAKER_43 |
transcript.pyannote[836].start |
6114.75471875 |
transcript.pyannote[836].end |
6114.92346875 |
transcript.pyannote[837].speaker |
SPEAKER_43 |
transcript.pyannote[837].start |
6119.22659375 |
transcript.pyannote[837].end |
6130.00971875 |
transcript.pyannote[838].speaker |
SPEAKER_43 |
transcript.pyannote[838].start |
6130.65096875 |
transcript.pyannote[838].end |
6132.87846875 |
transcript.pyannote[839].speaker |
SPEAKER_54 |
transcript.pyannote[839].start |
6132.25409375 |
transcript.pyannote[839].end |
6135.32534375 |
transcript.pyannote[840].speaker |
SPEAKER_43 |
transcript.pyannote[840].start |
6134.43096875 |
transcript.pyannote[840].end |
6141.63659375 |
transcript.pyannote[841].speaker |
SPEAKER_54 |
transcript.pyannote[841].start |
6136.38846875 |
transcript.pyannote[841].end |
6137.14784375 |
transcript.pyannote[842].speaker |
SPEAKER_54 |
transcript.pyannote[842].start |
6139.22346875 |
transcript.pyannote[842].end |
6141.67034375 |
transcript.pyannote[843].speaker |
SPEAKER_43 |
transcript.pyannote[843].start |
6141.67034375 |
transcript.pyannote[843].end |
6142.32846875 |
transcript.pyannote[844].speaker |
SPEAKER_54 |
transcript.pyannote[844].start |
6142.32846875 |
transcript.pyannote[844].end |
6142.81784375 |
transcript.pyannote[845].speaker |
SPEAKER_43 |
transcript.pyannote[845].start |
6142.81784375 |
transcript.pyannote[845].end |
6147.49221875 |
transcript.pyannote[846].speaker |
SPEAKER_54 |
transcript.pyannote[846].start |
6142.85159375 |
transcript.pyannote[846].end |
6144.84284375 |
transcript.pyannote[847].speaker |
SPEAKER_50 |
transcript.pyannote[847].start |
6144.84284375 |
transcript.pyannote[847].end |
6145.12971875 |
transcript.pyannote[848].speaker |
SPEAKER_54 |
transcript.pyannote[848].start |
6146.93534375 |
transcript.pyannote[848].end |
6147.34034375 |
transcript.pyannote[849].speaker |
SPEAKER_59 |
transcript.pyannote[849].start |
6147.34034375 |
transcript.pyannote[849].end |
6147.45846875 |
transcript.pyannote[850].speaker |
SPEAKER_59 |
transcript.pyannote[850].start |
6147.49221875 |
transcript.pyannote[850].end |
6147.62721875 |
transcript.pyannote[851].speaker |
SPEAKER_43 |
transcript.pyannote[851].start |
6147.62721875 |
transcript.pyannote[851].end |
6156.50346875 |
transcript.pyannote[852].speaker |
SPEAKER_36 |
transcript.pyannote[852].start |
6153.02721875 |
transcript.pyannote[852].end |
6153.28034375 |
transcript.pyannote[853].speaker |
SPEAKER_59 |
transcript.pyannote[853].start |
6153.28034375 |
transcript.pyannote[853].end |
6153.38159375 |
transcript.pyannote[854].speaker |
SPEAKER_36 |
transcript.pyannote[854].start |
6153.38159375 |
transcript.pyannote[854].end |
6153.93846875 |
transcript.pyannote[855].speaker |
SPEAKER_43 |
transcript.pyannote[855].start |
6157.17846875 |
transcript.pyannote[855].end |
6168.83909375 |
transcript.pyannote[856].speaker |
SPEAKER_43 |
transcript.pyannote[856].start |
6169.04159375 |
transcript.pyannote[856].end |
6169.91909375 |
transcript.pyannote[857].speaker |
SPEAKER_37 |
transcript.pyannote[857].start |
6169.66596875 |
transcript.pyannote[857].end |
6171.45471875 |
transcript.pyannote[858].speaker |
SPEAKER_43 |
transcript.pyannote[858].start |
6171.45471875 |
transcript.pyannote[858].end |
6185.41034375 |
transcript.pyannote[859].speaker |
SPEAKER_37 |
transcript.pyannote[859].start |
6172.66971875 |
transcript.pyannote[859].end |
6173.56409375 |
transcript.pyannote[860].speaker |
SPEAKER_01 |
transcript.pyannote[860].start |
6173.56409375 |
transcript.pyannote[860].end |
6173.58096875 |
transcript.pyannote[861].speaker |
SPEAKER_37 |
transcript.pyannote[861].start |
6185.96721875 |
transcript.pyannote[861].end |
6191.97471875 |
transcript.pyannote[862].speaker |
SPEAKER_43 |
transcript.pyannote[862].start |
6187.11471875 |
transcript.pyannote[862].end |
6187.35096875 |
transcript.pyannote[863].speaker |
SPEAKER_43 |
transcript.pyannote[863].start |
6191.97471875 |
transcript.pyannote[863].end |
6205.54221875 |
transcript.pyannote[864].speaker |
SPEAKER_37 |
transcript.pyannote[864].start |
6191.99159375 |
transcript.pyannote[864].end |
6192.71721875 |
transcript.pyannote[865].speaker |
SPEAKER_02 |
transcript.pyannote[865].start |
6192.71721875 |
transcript.pyannote[865].end |
6192.76784375 |
transcript.pyannote[866].speaker |
SPEAKER_46 |
transcript.pyannote[866].start |
6192.76784375 |
transcript.pyannote[866].end |
6192.78471875 |
transcript.pyannote[867].speaker |
SPEAKER_37 |
transcript.pyannote[867].start |
6206.16659375 |
transcript.pyannote[867].end |
6215.81909375 |
transcript.pyannote[868].speaker |
SPEAKER_43 |
transcript.pyannote[868].start |
6209.47409375 |
transcript.pyannote[868].end |
6212.00534375 |
transcript.pyannote[869].speaker |
SPEAKER_43 |
transcript.pyannote[869].start |
6214.31721875 |
transcript.pyannote[869].end |
6222.24846875 |
transcript.pyannote[870].speaker |
SPEAKER_05 |
transcript.pyannote[870].start |
6223.15971875 |
transcript.pyannote[870].end |
6224.98221875 |
transcript.pyannote[871].speaker |
SPEAKER_43 |
transcript.pyannote[871].start |
6224.98221875 |
transcript.pyannote[871].end |
6226.09596875 |
transcript.pyannote[872].speaker |
SPEAKER_02 |
transcript.pyannote[872].start |
6225.84284375 |
transcript.pyannote[872].end |
6228.03659375 |
transcript.pyannote[873].speaker |
SPEAKER_43 |
transcript.pyannote[873].start |
6227.90159375 |
transcript.pyannote[873].end |
6231.93471875 |
transcript.pyannote[874].speaker |
SPEAKER_37 |
transcript.pyannote[874].start |
6228.03659375 |
transcript.pyannote[874].end |
6228.35721875 |
transcript.pyannote[875].speaker |
SPEAKER_37 |
transcript.pyannote[875].start |
6229.26846875 |
transcript.pyannote[875].end |
6230.04471875 |
transcript.pyannote[876].speaker |
SPEAKER_37 |
transcript.pyannote[876].start |
6230.77034375 |
transcript.pyannote[876].end |
6235.05659375 |
transcript.pyannote[877].speaker |
SPEAKER_43 |
transcript.pyannote[877].start |
6232.32284375 |
transcript.pyannote[877].end |
6232.72784375 |
transcript.pyannote[878].speaker |
SPEAKER_43 |
transcript.pyannote[878].start |
6235.05659375 |
transcript.pyannote[878].end |
6237.08159375 |
transcript.pyannote[879].speaker |
SPEAKER_37 |
transcript.pyannote[879].start |
6236.57534375 |
transcript.pyannote[879].end |
6239.93346875 |
transcript.pyannote[880].speaker |
SPEAKER_43 |
transcript.pyannote[880].start |
6238.90409375 |
transcript.pyannote[880].end |
6243.81471875 |
transcript.pyannote[881].speaker |
SPEAKER_37 |
transcript.pyannote[881].start |
6240.10221875 |
transcript.pyannote[881].end |
6242.36346875 |
transcript.pyannote[882].speaker |
SPEAKER_37 |
transcript.pyannote[882].start |
6242.54909375 |
transcript.pyannote[882].end |
6242.71784375 |
transcript.pyannote[883].speaker |
SPEAKER_14 |
transcript.pyannote[883].start |
6242.71784375 |
transcript.pyannote[883].end |
6242.78534375 |
transcript.pyannote[884].speaker |
SPEAKER_37 |
transcript.pyannote[884].start |
6242.78534375 |
transcript.pyannote[884].end |
6242.97096875 |
transcript.pyannote[885].speaker |
SPEAKER_14 |
transcript.pyannote[885].start |
6242.97096875 |
transcript.pyannote[885].end |
6243.03846875 |
transcript.pyannote[886].speaker |
SPEAKER_37 |
transcript.pyannote[886].start |
6243.03846875 |
transcript.pyannote[886].end |
6243.96659375 |
transcript.pyannote[887].speaker |
SPEAKER_14 |
transcript.pyannote[887].start |
6243.96659375 |
transcript.pyannote[887].end |
6246.71721875 |
transcript.pyannote[888].speaker |
SPEAKER_43 |
transcript.pyannote[888].start |
6246.22784375 |
transcript.pyannote[888].end |
6248.70846875 |
transcript.pyannote[889].speaker |
SPEAKER_14 |
transcript.pyannote[889].start |
6247.52721875 |
transcript.pyannote[889].end |
6248.97846875 |
transcript.pyannote[890].speaker |
SPEAKER_43 |
transcript.pyannote[890].start |
6248.84346875 |
transcript.pyannote[890].end |
6249.19784375 |
transcript.pyannote[891].speaker |
SPEAKER_37 |
transcript.pyannote[891].start |
6248.97846875 |
transcript.pyannote[891].end |
6252.28596875 |
transcript.pyannote[892].speaker |
SPEAKER_14 |
transcript.pyannote[892].start |
6249.19784375 |
transcript.pyannote[892].end |
6249.34971875 |
transcript.pyannote[893].speaker |
SPEAKER_14 |
transcript.pyannote[893].start |
6249.46784375 |
transcript.pyannote[893].end |
6249.55221875 |
transcript.pyannote[894].speaker |
SPEAKER_43 |
transcript.pyannote[894].start |
6249.55221875 |
transcript.pyannote[894].end |
6249.58596875 |
transcript.pyannote[895].speaker |
SPEAKER_14 |
transcript.pyannote[895].start |
6249.58596875 |
transcript.pyannote[895].end |
6249.63659375 |
transcript.pyannote[896].speaker |
SPEAKER_43 |
transcript.pyannote[896].start |
6249.63659375 |
transcript.pyannote[896].end |
6249.92346875 |
transcript.pyannote[897].speaker |
SPEAKER_14 |
transcript.pyannote[897].start |
6249.92346875 |
transcript.pyannote[897].end |
6249.95721875 |
transcript.pyannote[898].speaker |
SPEAKER_43 |
transcript.pyannote[898].start |
6250.41284375 |
transcript.pyannote[898].end |
6264.57096875 |
transcript.pyannote[899].speaker |
SPEAKER_37 |
transcript.pyannote[899].start |
6252.37034375 |
transcript.pyannote[899].end |
6252.38721875 |
transcript.pyannote[900].speaker |
SPEAKER_47 |
transcript.pyannote[900].start |
6255.49221875 |
transcript.pyannote[900].end |
6255.50909375 |
transcript.pyannote[901].speaker |
SPEAKER_37 |
transcript.pyannote[901].start |
6255.50909375 |
transcript.pyannote[901].end |
6255.62721875 |
transcript.pyannote[902].speaker |
SPEAKER_02 |
transcript.pyannote[902].start |
6255.62721875 |
transcript.pyannote[902].end |
6255.64409375 |
transcript.pyannote[903].speaker |
SPEAKER_37 |
transcript.pyannote[903].start |
6255.64409375 |
transcript.pyannote[903].end |
6255.72846875 |
transcript.pyannote[904].speaker |
SPEAKER_02 |
transcript.pyannote[904].start |
6255.72846875 |
transcript.pyannote[904].end |
6255.77909375 |
transcript.pyannote[905].speaker |
SPEAKER_47 |
transcript.pyannote[905].start |
6255.77909375 |
transcript.pyannote[905].end |
6255.82971875 |
transcript.pyannote[906].speaker |
SPEAKER_01 |
transcript.pyannote[906].start |
6263.05221875 |
transcript.pyannote[906].end |
6263.06909375 |
transcript.pyannote[907].speaker |
SPEAKER_03 |
transcript.pyannote[907].start |
6263.06909375 |
transcript.pyannote[907].end |
6265.34721875 |
transcript.pyannote[908].speaker |
SPEAKER_43 |
transcript.pyannote[908].start |
6265.34721875 |
transcript.pyannote[908].end |
6277.66596875 |
transcript.pyannote[909].speaker |
SPEAKER_03 |
transcript.pyannote[909].start |
6265.39784375 |
transcript.pyannote[909].end |
6268.23284375 |
transcript.pyannote[910].speaker |
SPEAKER_23 |
transcript.pyannote[910].start |
6272.80596875 |
transcript.pyannote[910].end |
6274.17284375 |
transcript.pyannote[911].speaker |
SPEAKER_23 |
transcript.pyannote[911].start |
6275.08409375 |
transcript.pyannote[911].end |
6275.87721875 |
transcript.pyannote[912].speaker |
SPEAKER_43 |
transcript.pyannote[912].start |
6278.18909375 |
transcript.pyannote[912].end |
6278.50971875 |
transcript.pyannote[913].speaker |
SPEAKER_23 |
transcript.pyannote[913].start |
6279.28596875 |
transcript.pyannote[913].end |
6279.92721875 |
transcript.pyannote[914].speaker |
SPEAKER_43 |
transcript.pyannote[914].start |
6280.12971875 |
transcript.pyannote[914].end |
6283.15034375 |
transcript.pyannote[915].speaker |
SPEAKER_43 |
transcript.pyannote[915].start |
6283.48784375 |
transcript.pyannote[915].end |
6296.76846875 |
transcript.pyannote[916].speaker |
SPEAKER_43 |
transcript.pyannote[916].start |
6297.34221875 |
transcript.pyannote[916].end |
6299.53596875 |
transcript.pyannote[917].speaker |
SPEAKER_37 |
transcript.pyannote[917].start |
6300.32909375 |
transcript.pyannote[917].end |
6311.65221875 |
transcript.pyannote[918].speaker |
SPEAKER_37 |
transcript.pyannote[918].start |
6311.92221875 |
transcript.pyannote[918].end |
6317.35596875 |
transcript.pyannote[919].speaker |
SPEAKER_43 |
transcript.pyannote[919].start |
6314.01471875 |
transcript.pyannote[919].end |
6321.06846875 |
transcript.pyannote[920].speaker |
SPEAKER_37 |
transcript.pyannote[920].start |
6317.67659375 |
transcript.pyannote[920].end |
6318.18284375 |
transcript.pyannote[921].speaker |
SPEAKER_37 |
transcript.pyannote[921].start |
6318.50346875 |
transcript.pyannote[921].end |
6331.24409375 |
transcript.pyannote[922].speaker |
SPEAKER_43 |
transcript.pyannote[922].start |
6321.43971875 |
transcript.pyannote[922].end |
6321.92909375 |
transcript.pyannote[923].speaker |
SPEAKER_43 |
transcript.pyannote[923].start |
6330.38346875 |
transcript.pyannote[923].end |
6330.97409375 |
transcript.pyannote[924].speaker |
SPEAKER_43 |
transcript.pyannote[924].start |
6331.17659375 |
transcript.pyannote[924].end |
6331.19346875 |
transcript.pyannote[925].speaker |
SPEAKER_43 |
transcript.pyannote[925].start |
6331.24409375 |
transcript.pyannote[925].end |
6334.88909375 |
transcript.pyannote[926].speaker |
SPEAKER_43 |
transcript.pyannote[926].start |
6335.27721875 |
transcript.pyannote[926].end |
6335.76659375 |
transcript.pyannote[927].speaker |
SPEAKER_43 |
transcript.pyannote[927].start |
6345.90846875 |
transcript.pyannote[927].end |
6347.62971875 |
transcript.pyannote[928].speaker |
SPEAKER_43 |
transcript.pyannote[928].start |
6349.09784375 |
transcript.pyannote[928].end |
6349.46909375 |
transcript.pyannote[929].speaker |
SPEAKER_33 |
transcript.pyannote[929].start |
6353.50221875 |
transcript.pyannote[929].end |
6359.50971875 |
transcript.pyannote[930].speaker |
SPEAKER_33 |
transcript.pyannote[930].start |
6364.79159375 |
transcript.pyannote[930].end |
6364.80846875 |
transcript.pyannote[931].speaker |
SPEAKER_35 |
transcript.pyannote[931].start |
6364.80846875 |
transcript.pyannote[931].end |
6367.66034375 |
transcript.pyannote[932].speaker |
SPEAKER_33 |
transcript.pyannote[932].start |
6365.24721875 |
transcript.pyannote[932].end |
6366.59721875 |
transcript.pyannote[933].speaker |
SPEAKER_35 |
transcript.pyannote[933].start |
6367.86284375 |
transcript.pyannote[933].end |
6385.71659375 |
transcript.pyannote[934].speaker |
SPEAKER_39 |
transcript.pyannote[934].start |
6374.41034375 |
transcript.pyannote[934].end |
6374.95034375 |
transcript.pyannote[935].speaker |
SPEAKER_35 |
transcript.pyannote[935].start |
6386.74596875 |
transcript.pyannote[935].end |
6395.77409375 |
transcript.pyannote[936].speaker |
SPEAKER_35 |
transcript.pyannote[936].start |
6395.95971875 |
transcript.pyannote[936].end |
6405.56159375 |
transcript.pyannote[937].speaker |
SPEAKER_35 |
transcript.pyannote[937].start |
6407.72159375 |
transcript.pyannote[937].end |
6408.41346875 |
transcript.pyannote[938].speaker |
SPEAKER_35 |
transcript.pyannote[938].start |
6408.95346875 |
transcript.pyannote[938].end |
6415.68659375 |
transcript.pyannote[939].speaker |
SPEAKER_47 |
transcript.pyannote[939].start |
6409.29096875 |
transcript.pyannote[939].end |
6409.79721875 |
transcript.pyannote[940].speaker |
SPEAKER_35 |
transcript.pyannote[940].start |
6416.37846875 |
transcript.pyannote[940].end |
6425.42346875 |
transcript.pyannote[941].speaker |
SPEAKER_35 |
transcript.pyannote[941].start |
6426.21659375 |
transcript.pyannote[941].end |
6434.99159375 |
transcript.pyannote[942].speaker |
SPEAKER_35 |
transcript.pyannote[942].start |
6435.34596875 |
transcript.pyannote[942].end |
6462.34596875 |
transcript.pyannote[943].speaker |
SPEAKER_47 |
transcript.pyannote[943].start |
6462.34596875 |
transcript.pyannote[943].end |
6478.96784375 |
transcript.pyannote[944].speaker |
SPEAKER_35 |
transcript.pyannote[944].start |
6478.96784375 |
transcript.pyannote[944].end |
6482.79846875 |
transcript.pyannote[945].speaker |
SPEAKER_35 |
transcript.pyannote[945].start |
6483.23721875 |
transcript.pyannote[945].end |
6491.75909375 |
transcript.pyannote[946].speaker |
SPEAKER_47 |
transcript.pyannote[946].start |
6491.86034375 |
transcript.pyannote[946].end |
6509.93346875 |
transcript.pyannote[947].speaker |
SPEAKER_35 |
transcript.pyannote[947].start |
6509.93346875 |
transcript.pyannote[947].end |
6527.46659375 |
transcript.pyannote[948].speaker |
SPEAKER_47 |
transcript.pyannote[948].start |
6509.98409375 |
transcript.pyannote[948].end |
6510.99659375 |
transcript.pyannote[949].speaker |
SPEAKER_35 |
transcript.pyannote[949].start |
6527.77034375 |
transcript.pyannote[949].end |
6544.13909375 |
transcript.pyannote[950].speaker |
SPEAKER_35 |
transcript.pyannote[950].start |
6544.30784375 |
transcript.pyannote[950].end |
6545.28659375 |
transcript.pyannote[951].speaker |
SPEAKER_35 |
transcript.pyannote[951].start |
6546.45096875 |
transcript.pyannote[951].end |
6567.81471875 |
transcript.pyannote[952].speaker |
SPEAKER_00 |
transcript.pyannote[952].start |
6558.97221875 |
transcript.pyannote[952].end |
6560.22096875 |
transcript.pyannote[953].speaker |
SPEAKER_47 |
transcript.pyannote[953].start |
6568.06784375 |
transcript.pyannote[953].end |
6568.08471875 |
transcript.pyannote[954].speaker |
SPEAKER_35 |
transcript.pyannote[954].start |
6568.08471875 |
transcript.pyannote[954].end |
6568.15221875 |
transcript.pyannote[955].speaker |
SPEAKER_47 |
transcript.pyannote[955].start |
6568.15221875 |
transcript.pyannote[955].end |
6590.10659375 |
transcript.pyannote[956].speaker |
SPEAKER_35 |
transcript.pyannote[956].start |
6589.43159375 |
transcript.pyannote[956].end |
6615.03096875 |
transcript.pyannote[957].speaker |
SPEAKER_47 |
transcript.pyannote[957].start |
6615.03096875 |
transcript.pyannote[957].end |
6642.73971875 |
transcript.pyannote[958].speaker |
SPEAKER_35 |
transcript.pyannote[958].start |
6641.27159375 |
transcript.pyannote[958].end |
6691.03596875 |
transcript.pyannote[959].speaker |
SPEAKER_59 |
transcript.pyannote[959].start |
6647.41409375 |
transcript.pyannote[959].end |
6647.43096875 |
transcript.pyannote[960].speaker |
SPEAKER_32 |
transcript.pyannote[960].start |
6647.43096875 |
transcript.pyannote[960].end |
6647.44784375 |
transcript.pyannote[961].speaker |
SPEAKER_47 |
transcript.pyannote[961].start |
6647.44784375 |
transcript.pyannote[961].end |
6647.68409375 |
transcript.pyannote[962].speaker |
SPEAKER_00 |
transcript.pyannote[962].start |
6654.24846875 |
transcript.pyannote[962].end |
6655.90221875 |
transcript.pyannote[963].speaker |
SPEAKER_00 |
transcript.pyannote[963].start |
6659.24346875 |
transcript.pyannote[963].end |
6659.29409375 |
transcript.pyannote[964].speaker |
SPEAKER_59 |
transcript.pyannote[964].start |
6659.29409375 |
transcript.pyannote[964].end |
6659.54721875 |
transcript.pyannote[965].speaker |
SPEAKER_00 |
transcript.pyannote[965].start |
6659.54721875 |
transcript.pyannote[965].end |
6659.61471875 |
transcript.pyannote[966].speaker |
SPEAKER_47 |
transcript.pyannote[966].start |
6691.03596875 |
transcript.pyannote[966].end |
6699.54096875 |
transcript.pyannote[967].speaker |
SPEAKER_35 |
transcript.pyannote[967].start |
6698.64659375 |
transcript.pyannote[967].end |
6704.26596875 |
transcript.pyannote[968].speaker |
SPEAKER_35 |
transcript.pyannote[968].start |
6705.61596875 |
transcript.pyannote[968].end |
6706.25721875 |
transcript.pyannote[969].speaker |
SPEAKER_35 |
transcript.pyannote[969].start |
6706.44284375 |
transcript.pyannote[969].end |
6721.10721875 |
transcript.pyannote[970].speaker |
SPEAKER_00 |
transcript.pyannote[970].start |
6714.71159375 |
transcript.pyannote[970].end |
6714.74534375 |
transcript.pyannote[971].speaker |
SPEAKER_39 |
transcript.pyannote[971].start |
6714.74534375 |
transcript.pyannote[971].end |
6714.84659375 |
transcript.pyannote[972].speaker |
SPEAKER_33 |
transcript.pyannote[972].start |
6714.84659375 |
transcript.pyannote[972].end |
6714.93096875 |
transcript.pyannote[973].speaker |
SPEAKER_00 |
transcript.pyannote[973].start |
6714.93096875 |
transcript.pyannote[973].end |
6714.94784375 |
transcript.pyannote[974].speaker |
SPEAKER_35 |
transcript.pyannote[974].start |
6721.49534375 |
transcript.pyannote[974].end |
6744.41159375 |
transcript.pyannote[975].speaker |
SPEAKER_54 |
transcript.pyannote[975].start |
6739.24784375 |
transcript.pyannote[975].end |
6741.27284375 |
transcript.pyannote[976].speaker |
SPEAKER_54 |
transcript.pyannote[976].start |
6744.56346875 |
transcript.pyannote[976].end |
6751.97159375 |
transcript.pyannote[977].speaker |
SPEAKER_35 |
transcript.pyannote[977].start |
6751.97159375 |
transcript.pyannote[977].end |
6769.72409375 |
transcript.pyannote[978].speaker |
SPEAKER_35 |
transcript.pyannote[978].start |
6770.24721875 |
transcript.pyannote[978].end |
6772.33971875 |
transcript.pyannote[979].speaker |
SPEAKER_35 |
transcript.pyannote[979].start |
6772.82909375 |
transcript.pyannote[979].end |
6784.08471875 |
transcript.pyannote[980].speaker |
SPEAKER_54 |
transcript.pyannote[980].start |
6784.08471875 |
transcript.pyannote[980].end |
6784.62471875 |
transcript.pyannote[981].speaker |
SPEAKER_35 |
transcript.pyannote[981].start |
6784.62471875 |
transcript.pyannote[981].end |
6784.64159375 |
transcript.pyannote[982].speaker |
SPEAKER_54 |
transcript.pyannote[982].start |
6784.64159375 |
transcript.pyannote[982].end |
6784.89471875 |
transcript.pyannote[983].speaker |
SPEAKER_35 |
transcript.pyannote[983].start |
6784.89471875 |
transcript.pyannote[983].end |
6784.96221875 |
transcript.pyannote[984].speaker |
SPEAKER_54 |
transcript.pyannote[984].start |
6784.96221875 |
transcript.pyannote[984].end |
6784.99596875 |
transcript.pyannote[985].speaker |
SPEAKER_35 |
transcript.pyannote[985].start |
6784.99596875 |
transcript.pyannote[985].end |
6785.18159375 |
transcript.pyannote[986].speaker |
SPEAKER_54 |
transcript.pyannote[986].start |
6785.18159375 |
transcript.pyannote[986].end |
6785.94096875 |
transcript.pyannote[987].speaker |
SPEAKER_35 |
transcript.pyannote[987].start |
6785.94096875 |
transcript.pyannote[987].end |
6785.97471875 |
transcript.pyannote[988].speaker |
SPEAKER_54 |
transcript.pyannote[988].start |
6785.97471875 |
transcript.pyannote[988].end |
6786.51471875 |
transcript.pyannote[989].speaker |
SPEAKER_35 |
transcript.pyannote[989].start |
6786.51471875 |
transcript.pyannote[989].end |
6786.54846875 |
transcript.pyannote[990].speaker |
SPEAKER_54 |
transcript.pyannote[990].start |
6786.54846875 |
transcript.pyannote[990].end |
6786.58221875 |
transcript.pyannote[991].speaker |
SPEAKER_35 |
transcript.pyannote[991].start |
6786.58221875 |
transcript.pyannote[991].end |
6788.03346875 |
transcript.pyannote[992].speaker |
SPEAKER_54 |
transcript.pyannote[992].start |
6788.03346875 |
transcript.pyannote[992].end |
6793.85534375 |
transcript.pyannote[993].speaker |
SPEAKER_35 |
transcript.pyannote[993].start |
6791.69534375 |
transcript.pyannote[993].end |
6808.68846875 |
transcript.pyannote[994].speaker |
SPEAKER_54 |
transcript.pyannote[994].start |
6796.97721875 |
transcript.pyannote[994].end |
6797.43284375 |
transcript.pyannote[995].speaker |
SPEAKER_06 |
transcript.pyannote[995].start |
6802.76534375 |
transcript.pyannote[995].end |
6802.83284375 |
transcript.pyannote[996].speaker |
SPEAKER_54 |
transcript.pyannote[996].start |
6802.83284375 |
transcript.pyannote[996].end |
6803.96346875 |
transcript.pyannote[997].speaker |
SPEAKER_06 |
transcript.pyannote[997].start |
6803.96346875 |
transcript.pyannote[997].end |
6804.03096875 |
transcript.pyannote[998].speaker |
SPEAKER_54 |
transcript.pyannote[998].start |
6804.03096875 |
transcript.pyannote[998].end |
6804.60471875 |
transcript.pyannote[999].speaker |
SPEAKER_54 |
transcript.pyannote[999].start |
6808.68846875 |
transcript.pyannote[999].end |
6814.86471875 |
transcript.pyannote[1000].speaker |
SPEAKER_35 |
transcript.pyannote[1000].start |
6813.86909375 |
transcript.pyannote[1000].end |
6815.43846875 |
transcript.pyannote[1001].speaker |
SPEAKER_54 |
transcript.pyannote[1001].start |
6815.43846875 |
transcript.pyannote[1001].end |
6815.52284375 |
transcript.pyannote[1002].speaker |
SPEAKER_35 |
transcript.pyannote[1002].start |
6815.52284375 |
transcript.pyannote[1002].end |
6815.55659375 |
transcript.pyannote[1003].speaker |
SPEAKER_54 |
transcript.pyannote[1003].start |
6815.55659375 |
transcript.pyannote[1003].end |
6818.81346875 |
transcript.pyannote[1004].speaker |
SPEAKER_35 |
transcript.pyannote[1004].start |
6816.92346875 |
transcript.pyannote[1004].end |
6818.62784375 |
transcript.pyannote[1005].speaker |
SPEAKER_35 |
transcript.pyannote[1005].start |
6818.81346875 |
transcript.pyannote[1005].end |
6818.83034375 |
transcript.pyannote[1006].speaker |
SPEAKER_54 |
transcript.pyannote[1006].start |
6818.83034375 |
transcript.pyannote[1006].end |
6818.84721875 |
transcript.pyannote[1007].speaker |
SPEAKER_35 |
transcript.pyannote[1007].start |
6818.84721875 |
transcript.pyannote[1007].end |
6820.85534375 |
transcript.pyannote[1008].speaker |
SPEAKER_35 |
transcript.pyannote[1008].start |
6820.97346875 |
transcript.pyannote[1008].end |
6828.21284375 |
transcript.pyannote[1009].speaker |
SPEAKER_35 |
transcript.pyannote[1009].start |
6828.39846875 |
transcript.pyannote[1009].end |
6833.95034375 |
transcript.pyannote[1010].speaker |
SPEAKER_54 |
transcript.pyannote[1010].start |
6833.52846875 |
transcript.pyannote[1010].end |
6835.04721875 |
transcript.pyannote[1011].speaker |
SPEAKER_35 |
transcript.pyannote[1011].start |
6834.03471875 |
transcript.pyannote[1011].end |
6854.11596875 |
transcript.pyannote[1012].speaker |
SPEAKER_35 |
transcript.pyannote[1012].start |
6854.75721875 |
transcript.pyannote[1012].end |
6876.15471875 |
transcript.pyannote[1013].speaker |
SPEAKER_54 |
transcript.pyannote[1013].start |
6874.01159375 |
transcript.pyannote[1013].end |
6878.82096875 |
transcript.pyannote[1014].speaker |
SPEAKER_43 |
transcript.pyannote[1014].start |
6876.15471875 |
transcript.pyannote[1014].end |
6876.18846875 |
transcript.pyannote[1015].speaker |
SPEAKER_43 |
transcript.pyannote[1015].start |
6878.44971875 |
transcript.pyannote[1015].end |
6880.81221875 |
transcript.pyannote[1016].speaker |
SPEAKER_35 |
transcript.pyannote[1016].start |
6878.82096875 |
transcript.pyannote[1016].end |
6878.83784375 |
transcript.pyannote[1017].speaker |
SPEAKER_43 |
transcript.pyannote[1017].start |
6882.60096875 |
transcript.pyannote[1017].end |
6884.50784375 |
transcript.pyannote[1018].speaker |
SPEAKER_37 |
transcript.pyannote[1018].start |
6894.14346875 |
transcript.pyannote[1018].end |
6896.50596875 |
transcript.pyannote[1019].speaker |
SPEAKER_43 |
transcript.pyannote[1019].start |
6896.65784375 |
transcript.pyannote[1019].end |
6897.45096875 |
transcript.pyannote[1020].speaker |
SPEAKER_43 |
transcript.pyannote[1020].start |
6902.09159375 |
transcript.pyannote[1020].end |
6903.69471875 |
transcript.pyannote[1021].speaker |
SPEAKER_43 |
transcript.pyannote[1021].start |
6908.55471875 |
transcript.pyannote[1021].end |
6908.79096875 |
transcript.pyannote[1022].speaker |
SPEAKER_59 |
transcript.pyannote[1022].start |
6908.79096875 |
transcript.pyannote[1022].end |
6909.04409375 |
transcript.pyannote[1023].speaker |
SPEAKER_37 |
transcript.pyannote[1023].start |
6909.04409375 |
transcript.pyannote[1023].end |
6909.07784375 |
transcript.pyannote[1024].speaker |
SPEAKER_59 |
transcript.pyannote[1024].start |
6909.07784375 |
transcript.pyannote[1024].end |
6909.09471875 |
transcript.pyannote[1025].speaker |
SPEAKER_37 |
transcript.pyannote[1025].start |
6909.09471875 |
transcript.pyannote[1025].end |
6977.92784375 |
transcript.pyannote[1026].speaker |
SPEAKER_01 |
transcript.pyannote[1026].start |
6930.64409375 |
transcript.pyannote[1026].end |
6930.86346875 |
transcript.pyannote[1027].speaker |
SPEAKER_01 |
transcript.pyannote[1027].start |
6930.88034375 |
transcript.pyannote[1027].end |
6931.36971875 |
transcript.pyannote[1028].speaker |
SPEAKER_54 |
transcript.pyannote[1028].start |
6973.94534375 |
transcript.pyannote[1028].end |
6974.35034375 |
transcript.pyannote[1029].speaker |
SPEAKER_54 |
transcript.pyannote[1029].start |
6976.51034375 |
transcript.pyannote[1029].end |
6988.42409375 |
transcript.pyannote[1030].speaker |
SPEAKER_37 |
transcript.pyannote[1030].start |
6988.42409375 |
transcript.pyannote[1030].end |
7000.57409375 |
transcript.pyannote[1031].speaker |
SPEAKER_54 |
transcript.pyannote[1031].start |
6991.86659375 |
transcript.pyannote[1031].end |
6993.35159375 |
transcript.pyannote[1032].speaker |
SPEAKER_54 |
transcript.pyannote[1032].start |
6998.43096875 |
transcript.pyannote[1032].end |
7001.85659375 |
transcript.pyannote[1033].speaker |
SPEAKER_37 |
transcript.pyannote[1033].start |
7001.38409375 |
transcript.pyannote[1033].end |
7053.94971875 |
transcript.pyannote[1034].speaker |
SPEAKER_59 |
transcript.pyannote[1034].start |
7016.35221875 |
transcript.pyannote[1034].end |
7017.04409375 |
transcript.pyannote[1035].speaker |
SPEAKER_59 |
transcript.pyannote[1035].start |
7018.25909375 |
transcript.pyannote[1035].end |
7018.73159375 |
transcript.pyannote[1036].speaker |
SPEAKER_00 |
transcript.pyannote[1036].start |
7025.65034375 |
transcript.pyannote[1036].end |
7026.08909375 |
transcript.pyannote[1037].speaker |
SPEAKER_32 |
transcript.pyannote[1037].start |
7047.23346875 |
transcript.pyannote[1037].end |
7047.82409375 |
transcript.pyannote[1038].speaker |
SPEAKER_37 |
transcript.pyannote[1038].start |
7054.11846875 |
transcript.pyannote[1038].end |
7058.30346875 |
transcript.pyannote[1039].speaker |
SPEAKER_54 |
transcript.pyannote[1039].start |
7057.32471875 |
transcript.pyannote[1039].end |
7059.78846875 |
transcript.pyannote[1040].speaker |
SPEAKER_37 |
transcript.pyannote[1040].start |
7059.45096875 |
transcript.pyannote[1040].end |
7094.85471875 |
transcript.pyannote[1041].speaker |
SPEAKER_54 |
transcript.pyannote[1041].start |
7059.82221875 |
transcript.pyannote[1041].end |
7059.87284375 |
transcript.pyannote[1042].speaker |
SPEAKER_54 |
transcript.pyannote[1042].start |
7064.85096875 |
transcript.pyannote[1042].end |
7065.59346875 |
transcript.pyannote[1043].speaker |
SPEAKER_16 |
transcript.pyannote[1043].start |
7066.35284375 |
transcript.pyannote[1043].end |
7066.38659375 |
transcript.pyannote[1044].speaker |
SPEAKER_54 |
transcript.pyannote[1044].start |
7066.38659375 |
transcript.pyannote[1044].end |
7067.97284375 |
transcript.pyannote[1045].speaker |
SPEAKER_16 |
transcript.pyannote[1045].start |
7067.97284375 |
transcript.pyannote[1045].end |
7068.95159375 |
transcript.pyannote[1046].speaker |
SPEAKER_16 |
transcript.pyannote[1046].start |
7070.43659375 |
transcript.pyannote[1046].end |
7071.12846875 |
transcript.pyannote[1047].speaker |
SPEAKER_54 |
transcript.pyannote[1047].start |
7093.80846875 |
transcript.pyannote[1047].end |
7095.68159375 |
transcript.pyannote[1048].speaker |
SPEAKER_37 |
transcript.pyannote[1048].start |
7095.24284375 |
transcript.pyannote[1048].end |
7101.95909375 |
transcript.pyannote[1049].speaker |
SPEAKER_54 |
transcript.pyannote[1049].start |
7101.46971875 |
transcript.pyannote[1049].end |
7111.42596875 |
transcript.pyannote[1050].speaker |
SPEAKER_37 |
transcript.pyannote[1050].start |
7111.42596875 |
transcript.pyannote[1050].end |
7162.13534375 |
transcript.pyannote[1051].speaker |
SPEAKER_59 |
transcript.pyannote[1051].start |
7118.32784375 |
transcript.pyannote[1051].end |
7118.71596875 |
transcript.pyannote[1052].speaker |
SPEAKER_54 |
transcript.pyannote[1052].start |
7162.13534375 |
transcript.pyannote[1052].end |
7162.20284375 |
transcript.pyannote[1053].speaker |
SPEAKER_54 |
transcript.pyannote[1053].start |
7162.65846875 |
transcript.pyannote[1053].end |
7204.64346875 |
transcript.pyannote[1054].speaker |
SPEAKER_54 |
transcript.pyannote[1054].start |
7205.13284375 |
transcript.pyannote[1054].end |
7211.96721875 |
transcript.pyannote[1055].speaker |
SPEAKER_37 |
transcript.pyannote[1055].start |
7211.96721875 |
transcript.pyannote[1055].end |
7223.88096875 |
transcript.pyannote[1056].speaker |
SPEAKER_37 |
transcript.pyannote[1056].start |
7224.38721875 |
transcript.pyannote[1056].end |
7228.58909375 |
transcript.pyannote[1057].speaker |
SPEAKER_37 |
transcript.pyannote[1057].start |
7228.90971875 |
transcript.pyannote[1057].end |
7232.92596875 |
transcript.pyannote[1058].speaker |
SPEAKER_54 |
transcript.pyannote[1058].start |
7232.92596875 |
transcript.pyannote[1058].end |
7245.17721875 |
transcript.pyannote[1059].speaker |
SPEAKER_37 |
transcript.pyannote[1059].start |
7234.63034375 |
transcript.pyannote[1059].end |
7235.86221875 |
transcript.pyannote[1060].speaker |
SPEAKER_37 |
transcript.pyannote[1060].start |
7244.85659375 |
transcript.pyannote[1060].end |
7252.53471875 |
transcript.pyannote[1061].speaker |
SPEAKER_54 |
transcript.pyannote[1061].start |
7246.93221875 |
transcript.pyannote[1061].end |
7247.18534375 |
transcript.pyannote[1062].speaker |
SPEAKER_54 |
transcript.pyannote[1062].start |
7252.88909375 |
transcript.pyannote[1062].end |
7258.17096875 |
transcript.pyannote[1063].speaker |
SPEAKER_37 |
transcript.pyannote[1063].start |
7257.96846875 |
transcript.pyannote[1063].end |
7261.17471875 |
transcript.pyannote[1064].speaker |
SPEAKER_54 |
transcript.pyannote[1064].start |
7262.54159375 |
transcript.pyannote[1064].end |
7262.55846875 |
transcript.pyannote[1065].speaker |
SPEAKER_42 |
transcript.pyannote[1065].start |
7262.55846875 |
transcript.pyannote[1065].end |
7263.18284375 |
transcript.pyannote[1066].speaker |
SPEAKER_37 |
transcript.pyannote[1066].start |
7268.85284375 |
transcript.pyannote[1066].end |
7293.25409375 |
transcript.pyannote[1067].speaker |
SPEAKER_31 |
transcript.pyannote[1067].start |
7293.86159375 |
transcript.pyannote[1067].end |
7300.61159375 |
transcript.pyannote[1068].speaker |
SPEAKER_31 |
transcript.pyannote[1068].start |
7300.96596875 |
transcript.pyannote[1068].end |
7302.06284375 |
transcript.pyannote[1069].speaker |
SPEAKER_31 |
transcript.pyannote[1069].start |
7302.77159375 |
transcript.pyannote[1069].end |
7304.67846875 |
transcript.pyannote[1070].speaker |
SPEAKER_37 |
transcript.pyannote[1070].start |
7304.40846875 |
transcript.pyannote[1070].end |
7305.28596875 |
transcript.pyannote[1071].speaker |
SPEAKER_31 |
transcript.pyannote[1071].start |
7305.47159375 |
transcript.pyannote[1071].end |
7307.15909375 |
transcript.pyannote[1072].speaker |
SPEAKER_37 |
transcript.pyannote[1072].start |
7307.27721875 |
transcript.pyannote[1072].end |
7311.52971875 |
transcript.pyannote[1073].speaker |
SPEAKER_31 |
transcript.pyannote[1073].start |
7309.80846875 |
transcript.pyannote[1073].end |
7310.66909375 |
transcript.pyannote[1074].speaker |
SPEAKER_31 |
transcript.pyannote[1074].start |
7311.12471875 |
transcript.pyannote[1074].end |
7313.80784375 |
transcript.pyannote[1075].speaker |
SPEAKER_37 |
transcript.pyannote[1075].start |
7314.17909375 |
transcript.pyannote[1075].end |
7319.81534375 |
transcript.pyannote[1076].speaker |
SPEAKER_31 |
transcript.pyannote[1076].start |
7320.10221875 |
transcript.pyannote[1076].end |
7336.30221875 |
transcript.pyannote[1077].speaker |
SPEAKER_37 |
transcript.pyannote[1077].start |
7336.06596875 |
transcript.pyannote[1077].end |
7348.85721875 |
transcript.pyannote[1078].speaker |
SPEAKER_31 |
transcript.pyannote[1078].start |
7348.99221875 |
transcript.pyannote[1078].end |
7349.00909375 |
transcript.pyannote[1079].speaker |
SPEAKER_43 |
transcript.pyannote[1079].start |
7349.00909375 |
transcript.pyannote[1079].end |
7349.02596875 |
transcript.pyannote[1080].speaker |
SPEAKER_31 |
transcript.pyannote[1080].start |
7349.02596875 |
transcript.pyannote[1080].end |
7349.86971875 |
transcript.pyannote[1081].speaker |
SPEAKER_43 |
transcript.pyannote[1081].start |
7349.86971875 |
transcript.pyannote[1081].end |
7350.29159375 |
transcript.pyannote[1082].speaker |
SPEAKER_37 |
transcript.pyannote[1082].start |
7350.29159375 |
transcript.pyannote[1082].end |
7350.54471875 |
transcript.pyannote[1083].speaker |
SPEAKER_43 |
transcript.pyannote[1083].start |
7350.44346875 |
transcript.pyannote[1083].end |
7354.32471875 |
transcript.pyannote[1084].speaker |
SPEAKER_31 |
transcript.pyannote[1084].start |
7350.54471875 |
transcript.pyannote[1084].end |
7350.76409375 |
transcript.pyannote[1085].speaker |
SPEAKER_05 |
transcript.pyannote[1085].start |
7366.12034375 |
transcript.pyannote[1085].end |
7373.66346875 |
transcript.pyannote[1086].speaker |
SPEAKER_05 |
transcript.pyannote[1086].start |
7373.96721875 |
transcript.pyannote[1086].end |
7374.00096875 |
transcript.pyannote[1087].speaker |
SPEAKER_43 |
transcript.pyannote[1087].start |
7374.00096875 |
transcript.pyannote[1087].end |
7377.05534375 |
transcript.pyannote[1088].speaker |
SPEAKER_05 |
transcript.pyannote[1088].start |
7378.08471875 |
transcript.pyannote[1088].end |
7378.86096875 |
transcript.pyannote[1089].speaker |
SPEAKER_05 |
transcript.pyannote[1089].start |
7379.67096875 |
transcript.pyannote[1089].end |
7439.12159375 |
transcript.pyannote[1090].speaker |
SPEAKER_05 |
transcript.pyannote[1090].start |
7439.18909375 |
transcript.pyannote[1090].end |
7439.25659375 |
transcript.pyannote[1091].speaker |
SPEAKER_47 |
transcript.pyannote[1091].start |
7439.25659375 |
transcript.pyannote[1091].end |
7445.02784375 |
transcript.pyannote[1092].speaker |
SPEAKER_05 |
transcript.pyannote[1092].start |
7444.28534375 |
transcript.pyannote[1092].end |
7557.16221875 |
transcript.pyannote[1093].speaker |
SPEAKER_47 |
transcript.pyannote[1093].start |
7446.20909375 |
transcript.pyannote[1093].end |
7447.59284375 |
transcript.pyannote[1094].speaker |
SPEAKER_05 |
transcript.pyannote[1094].start |
7557.93846875 |
transcript.pyannote[1094].end |
7602.08346875 |
transcript.pyannote[1095].speaker |
SPEAKER_36 |
transcript.pyannote[1095].start |
7602.08346875 |
transcript.pyannote[1095].end |
7603.58534375 |
transcript.pyannote[1096].speaker |
SPEAKER_05 |
transcript.pyannote[1096].start |
7603.58534375 |
transcript.pyannote[1096].end |
7614.09846875 |
transcript.pyannote[1097].speaker |
SPEAKER_05 |
transcript.pyannote[1097].start |
7614.40221875 |
transcript.pyannote[1097].end |
7628.93159375 |
transcript.pyannote[1098].speaker |
SPEAKER_31 |
transcript.pyannote[1098].start |
7631.54721875 |
transcript.pyannote[1098].end |
7641.38534375 |
transcript.pyannote[1099].speaker |
SPEAKER_59 |
transcript.pyannote[1099].start |
7638.87096875 |
transcript.pyannote[1099].end |
7639.39409375 |
transcript.pyannote[1100].speaker |
SPEAKER_59 |
transcript.pyannote[1100].start |
7640.99721875 |
transcript.pyannote[1100].end |
7641.65534375 |
transcript.pyannote[1101].speaker |
SPEAKER_05 |
transcript.pyannote[1101].start |
7641.65534375 |
transcript.pyannote[1101].end |
7641.67221875 |
transcript.pyannote[1102].speaker |
SPEAKER_05 |
transcript.pyannote[1102].start |
7641.75659375 |
transcript.pyannote[1102].end |
7665.78659375 |
transcript.pyannote[1103].speaker |
SPEAKER_05 |
transcript.pyannote[1103].start |
7666.12409375 |
transcript.pyannote[1103].end |
7704.41346875 |
transcript.pyannote[1104].speaker |
SPEAKER_18 |
transcript.pyannote[1104].start |
7705.13909375 |
transcript.pyannote[1104].end |
7715.63534375 |
transcript.pyannote[1105].speaker |
SPEAKER_05 |
transcript.pyannote[1105].start |
7714.23471875 |
transcript.pyannote[1105].end |
7715.60159375 |
transcript.pyannote[1106].speaker |
SPEAKER_05 |
transcript.pyannote[1106].start |
7715.63534375 |
transcript.pyannote[1106].end |
7830.87471875 |
transcript.pyannote[1107].speaker |
SPEAKER_18 |
transcript.pyannote[1107].start |
7718.36909375 |
transcript.pyannote[1107].end |
7722.82409375 |
transcript.pyannote[1108].speaker |
SPEAKER_18 |
transcript.pyannote[1108].start |
7830.95909375 |
transcript.pyannote[1108].end |
7830.97596875 |
transcript.pyannote[1109].speaker |
SPEAKER_43 |
transcript.pyannote[1109].start |
7830.97596875 |
transcript.pyannote[1109].end |
7836.30846875 |
transcript.pyannote[1110].speaker |
SPEAKER_11 |
transcript.pyannote[1110].start |
7846.61909375 |
transcript.pyannote[1110].end |
7846.63596875 |
transcript.pyannote[1111].speaker |
SPEAKER_37 |
transcript.pyannote[1111].start |
7846.63596875 |
transcript.pyannote[1111].end |
7849.75784375 |
transcript.pyannote[1112].speaker |
SPEAKER_38 |
transcript.pyannote[1112].start |
7850.39909375 |
transcript.pyannote[1112].end |
7850.83784375 |
transcript.pyannote[1113].speaker |
SPEAKER_38 |
transcript.pyannote[1113].start |
7852.08659375 |
transcript.pyannote[1113].end |
7852.55909375 |
transcript.pyannote[1114].speaker |
SPEAKER_01 |
transcript.pyannote[1114].start |
7858.68471875 |
transcript.pyannote[1114].end |
7858.70159375 |
transcript.pyannote[1115].speaker |
SPEAKER_37 |
transcript.pyannote[1115].start |
7858.70159375 |
transcript.pyannote[1115].end |
7860.13596875 |
transcript.pyannote[1116].speaker |
SPEAKER_37 |
transcript.pyannote[1116].start |
7860.35534375 |
transcript.pyannote[1116].end |
7890.73034375 |
transcript.pyannote[1117].speaker |
SPEAKER_37 |
transcript.pyannote[1117].start |
7891.10159375 |
transcript.pyannote[1117].end |
7894.10534375 |
transcript.pyannote[1118].speaker |
SPEAKER_37 |
transcript.pyannote[1118].start |
7894.42596875 |
transcript.pyannote[1118].end |
7921.12221875 |
transcript.pyannote[1119].speaker |
SPEAKER_37 |
transcript.pyannote[1119].start |
7921.39221875 |
transcript.pyannote[1119].end |
7939.56659375 |
transcript.pyannote[1120].speaker |
SPEAKER_37 |
transcript.pyannote[1120].start |
7940.30909375 |
transcript.pyannote[1120].end |
7962.09471875 |
transcript.pyannote[1121].speaker |
SPEAKER_12 |
transcript.pyannote[1121].start |
7957.01534375 |
transcript.pyannote[1121].end |
7958.02784375 |
transcript.pyannote[1122].speaker |
SPEAKER_37 |
transcript.pyannote[1122].start |
7963.25909375 |
transcript.pyannote[1122].end |
7964.99721875 |
transcript.pyannote[1123].speaker |
SPEAKER_43 |
transcript.pyannote[1123].start |
7965.60471875 |
transcript.pyannote[1123].end |
7966.36409375 |
transcript.pyannote[1124].speaker |
SPEAKER_37 |
transcript.pyannote[1124].start |
7971.81471875 |
transcript.pyannote[1124].end |
7972.27034375 |
transcript.pyannote[1125].speaker |
SPEAKER_43 |
transcript.pyannote[1125].start |
7972.27034375 |
transcript.pyannote[1125].end |
7972.30409375 |
transcript.pyannote[1126].speaker |
SPEAKER_59 |
transcript.pyannote[1126].start |
7972.30409375 |
transcript.pyannote[1126].end |
7973.18159375 |
transcript.pyannote[1127].speaker |
SPEAKER_37 |
transcript.pyannote[1127].start |
7972.35471875 |
transcript.pyannote[1127].end |
7972.42221875 |
transcript.pyannote[1128].speaker |
SPEAKER_37 |
transcript.pyannote[1128].start |
7973.28284375 |
transcript.pyannote[1128].end |
7974.19409375 |
transcript.pyannote[1129].speaker |
SPEAKER_59 |
transcript.pyannote[1129].start |
7974.32909375 |
transcript.pyannote[1129].end |
7974.68346875 |
transcript.pyannote[1130].speaker |
SPEAKER_37 |
transcript.pyannote[1130].start |
7974.59909375 |
transcript.pyannote[1130].end |
7976.82659375 |
transcript.pyannote[1131].speaker |
SPEAKER_37 |
transcript.pyannote[1131].start |
7977.24846875 |
transcript.pyannote[1131].end |
7979.10471875 |
transcript.pyannote[1132].speaker |
SPEAKER_37 |
transcript.pyannote[1132].start |
7979.67846875 |
transcript.pyannote[1132].end |
7983.50909375 |
transcript.pyannote[1133].speaker |
SPEAKER_37 |
transcript.pyannote[1133].start |
7983.59346875 |
transcript.pyannote[1133].end |
7986.10784375 |
transcript.pyannote[1134].speaker |
SPEAKER_37 |
transcript.pyannote[1134].start |
7986.69846875 |
transcript.pyannote[1134].end |
7987.35659375 |
transcript.pyannote[1135].speaker |
SPEAKER_37 |
transcript.pyannote[1135].start |
7988.14971875 |
transcript.pyannote[1135].end |
8000.02971875 |
transcript.pyannote[1136].speaker |
SPEAKER_37 |
transcript.pyannote[1136].start |
8000.43471875 |
transcript.pyannote[1136].end |
8002.86471875 |
transcript.pyannote[1137].speaker |
SPEAKER_37 |
transcript.pyannote[1137].start |
8003.75909375 |
transcript.pyannote[1137].end |
8004.75471875 |
transcript.pyannote[1138].speaker |
SPEAKER_37 |
transcript.pyannote[1138].start |
8005.42971875 |
transcript.pyannote[1138].end |
8009.86784375 |
transcript.pyannote[1139].speaker |
SPEAKER_37 |
transcript.pyannote[1139].start |
8010.10409375 |
transcript.pyannote[1139].end |
8014.62659375 |
transcript.pyannote[1140].speaker |
SPEAKER_47 |
transcript.pyannote[1140].start |
8015.60534375 |
transcript.pyannote[1140].end |
8017.32659375 |
transcript.pyannote[1141].speaker |
SPEAKER_37 |
transcript.pyannote[1141].start |
8017.22534375 |
transcript.pyannote[1141].end |
8020.33034375 |
transcript.pyannote[1142].speaker |
SPEAKER_47 |
transcript.pyannote[1142].start |
8020.48221875 |
transcript.pyannote[1142].end |
8021.76471875 |
transcript.pyannote[1143].speaker |
SPEAKER_37 |
transcript.pyannote[1143].start |
8021.95034375 |
transcript.pyannote[1143].end |
8028.75096875 |
transcript.pyannote[1144].speaker |
SPEAKER_47 |
transcript.pyannote[1144].start |
8030.28659375 |
transcript.pyannote[1144].end |
8042.13284375 |
transcript.pyannote[1145].speaker |
SPEAKER_37 |
transcript.pyannote[1145].start |
8042.08221875 |
transcript.pyannote[1145].end |
8051.00909375 |
transcript.pyannote[1146].speaker |
SPEAKER_47 |
transcript.pyannote[1146].start |
8045.99721875 |
transcript.pyannote[1146].end |
8046.97596875 |
transcript.pyannote[1147].speaker |
SPEAKER_39 |
transcript.pyannote[1147].start |
8046.97596875 |
transcript.pyannote[1147].end |
8046.99284375 |
transcript.pyannote[1148].speaker |
SPEAKER_39 |
transcript.pyannote[1148].start |
8047.76909375 |
transcript.pyannote[1148].end |
8047.80284375 |
transcript.pyannote[1149].speaker |
SPEAKER_47 |
transcript.pyannote[1149].start |
8047.80284375 |
transcript.pyannote[1149].end |
8048.62971875 |
transcript.pyannote[1150].speaker |
SPEAKER_37 |
transcript.pyannote[1150].start |
8051.32971875 |
transcript.pyannote[1150].end |
8054.80596875 |
transcript.pyannote[1151].speaker |
SPEAKER_37 |
transcript.pyannote[1151].start |
8058.38346875 |
transcript.pyannote[1151].end |
8062.12971875 |
transcript.pyannote[1152].speaker |
SPEAKER_37 |
transcript.pyannote[1152].start |
8065.63971875 |
transcript.pyannote[1152].end |
8067.61409375 |
transcript.pyannote[1153].speaker |
SPEAKER_47 |
transcript.pyannote[1153].start |
8065.94346875 |
transcript.pyannote[1153].end |
8068.47471875 |
transcript.pyannote[1154].speaker |
SPEAKER_37 |
transcript.pyannote[1154].start |
8069.13284375 |
transcript.pyannote[1154].end |
8070.51659375 |
transcript.pyannote[1155].speaker |
SPEAKER_37 |
transcript.pyannote[1155].start |
8070.87096875 |
transcript.pyannote[1155].end |
8079.44346875 |
transcript.pyannote[1156].speaker |
SPEAKER_37 |
transcript.pyannote[1156].start |
8081.82284375 |
transcript.pyannote[1156].end |
8089.46721875 |
transcript.pyannote[1157].speaker |
SPEAKER_37 |
transcript.pyannote[1157].start |
8090.29409375 |
transcript.pyannote[1157].end |
8094.79971875 |
transcript.pyannote[1158].speaker |
SPEAKER_47 |
transcript.pyannote[1158].start |
8091.03659375 |
transcript.pyannote[1158].end |
8093.83784375 |
transcript.pyannote[1159].speaker |
SPEAKER_47 |
transcript.pyannote[1159].start |
8096.14971875 |
transcript.pyannote[1159].end |
8098.47846875 |
transcript.pyannote[1160].speaker |
SPEAKER_37 |
transcript.pyannote[1160].start |
8098.47846875 |
transcript.pyannote[1160].end |
8099.79471875 |
transcript.pyannote[1161].speaker |
SPEAKER_47 |
transcript.pyannote[1161].start |
8099.79471875 |
transcript.pyannote[1161].end |
8100.11534375 |
transcript.pyannote[1162].speaker |
SPEAKER_37 |
transcript.pyannote[1162].start |
8100.11534375 |
transcript.pyannote[1162].end |
8101.63409375 |
transcript.pyannote[1163].speaker |
SPEAKER_47 |
transcript.pyannote[1163].start |
8102.10659375 |
transcript.pyannote[1163].end |
8103.60846875 |
transcript.pyannote[1164].speaker |
SPEAKER_37 |
transcript.pyannote[1164].start |
8103.08534375 |
transcript.pyannote[1164].end |
8108.50221875 |
transcript.pyannote[1165].speaker |
SPEAKER_37 |
transcript.pyannote[1165].start |
8108.67096875 |
transcript.pyannote[1165].end |
8109.98721875 |
transcript.pyannote[1166].speaker |
SPEAKER_37 |
transcript.pyannote[1166].start |
8110.59471875 |
transcript.pyannote[1166].end |
8111.06721875 |
transcript.pyannote[1167].speaker |
SPEAKER_37 |
transcript.pyannote[1167].start |
8111.59034375 |
transcript.pyannote[1167].end |
8114.74596875 |
transcript.pyannote[1168].speaker |
SPEAKER_37 |
transcript.pyannote[1168].start |
8115.04971875 |
transcript.pyannote[1168].end |
8117.07471875 |
transcript.pyannote[1169].speaker |
SPEAKER_37 |
transcript.pyannote[1169].start |
8117.41221875 |
transcript.pyannote[1169].end |
8122.81221875 |
transcript.pyannote[1170].speaker |
SPEAKER_37 |
transcript.pyannote[1170].start |
8123.08221875 |
transcript.pyannote[1170].end |
8129.66346875 |
transcript.pyannote[1171].speaker |
SPEAKER_37 |
transcript.pyannote[1171].start |
8129.95034375 |
transcript.pyannote[1171].end |
8134.18596875 |
transcript.pyannote[1172].speaker |
SPEAKER_37 |
transcript.pyannote[1172].start |
8134.67534375 |
transcript.pyannote[1172].end |
8142.60659375 |
transcript.pyannote[1173].speaker |
SPEAKER_37 |
transcript.pyannote[1173].start |
8142.92721875 |
transcript.pyannote[1173].end |
8160.73034375 |
transcript.pyannote[1174].speaker |
SPEAKER_47 |
transcript.pyannote[1174].start |
8160.73034375 |
transcript.pyannote[1174].end |
8161.59096875 |
transcript.pyannote[1175].speaker |
SPEAKER_47 |
transcript.pyannote[1175].start |
8161.82721875 |
transcript.pyannote[1175].end |
8188.64159375 |
transcript.pyannote[1176].speaker |
SPEAKER_37 |
transcript.pyannote[1176].start |
8184.99659375 |
transcript.pyannote[1176].end |
8195.57721875 |
transcript.pyannote[1177].speaker |
SPEAKER_47 |
transcript.pyannote[1177].start |
8190.05909375 |
transcript.pyannote[1177].end |
8191.61159375 |
transcript.pyannote[1178].speaker |
SPEAKER_47 |
transcript.pyannote[1178].start |
8193.01221875 |
transcript.pyannote[1178].end |
8218.22346875 |
transcript.pyannote[1179].speaker |
SPEAKER_37 |
transcript.pyannote[1179].start |
8216.56971875 |
transcript.pyannote[1179].end |
8221.32846875 |
transcript.pyannote[1180].speaker |
SPEAKER_47 |
transcript.pyannote[1180].start |
8221.75034375 |
transcript.pyannote[1180].end |
8225.31096875 |
transcript.pyannote[1181].speaker |
SPEAKER_37 |
transcript.pyannote[1181].start |
8225.27721875 |
transcript.pyannote[1181].end |
8251.80471875 |
transcript.pyannote[1182].speaker |
SPEAKER_14 |
transcript.pyannote[1182].start |
8230.25534375 |
transcript.pyannote[1182].end |
8230.98096875 |
transcript.pyannote[1183].speaker |
SPEAKER_47 |
transcript.pyannote[1183].start |
8252.41221875 |
transcript.pyannote[1183].end |
8253.49221875 |
transcript.pyannote[1184].speaker |
SPEAKER_43 |
transcript.pyannote[1184].start |
8252.86784375 |
transcript.pyannote[1184].end |
8256.47909375 |
transcript.pyannote[1185].speaker |
SPEAKER_43 |
transcript.pyannote[1185].start |
8259.51659375 |
transcript.pyannote[1185].end |
8262.46971875 |
transcript.pyannote[1186].speaker |
SPEAKER_37 |
transcript.pyannote[1186].start |
8264.64659375 |
transcript.pyannote[1186].end |
8268.61221875 |
transcript.pyannote[1187].speaker |
SPEAKER_42 |
transcript.pyannote[1187].start |
8269.52346875 |
transcript.pyannote[1187].end |
8272.37534375 |
transcript.pyannote[1188].speaker |
SPEAKER_22 |
transcript.pyannote[1188].start |
8280.03659375 |
transcript.pyannote[1188].end |
8280.71159375 |
transcript.pyannote[1189].speaker |
SPEAKER_37 |
transcript.pyannote[1189].start |
8280.54284375 |
transcript.pyannote[1189].end |
8301.56909375 |
transcript.pyannote[1190].speaker |
SPEAKER_22 |
transcript.pyannote[1190].start |
8280.74534375 |
transcript.pyannote[1190].end |
8280.76221875 |
transcript.pyannote[1191].speaker |
SPEAKER_22 |
transcript.pyannote[1191].start |
8280.79596875 |
transcript.pyannote[1191].end |
8280.81284375 |
transcript.pyannote[1192].speaker |
SPEAKER_22 |
transcript.pyannote[1192].start |
8280.84659375 |
transcript.pyannote[1192].end |
8281.03221875 |
transcript.pyannote[1193].speaker |
SPEAKER_37 |
transcript.pyannote[1193].start |
8301.72096875 |
transcript.pyannote[1193].end |
8318.73096875 |
transcript.pyannote[1194].speaker |
SPEAKER_37 |
transcript.pyannote[1194].start |
8319.79409375 |
transcript.pyannote[1194].end |
8326.81409375 |
transcript.pyannote[1195].speaker |
SPEAKER_37 |
transcript.pyannote[1195].start |
8327.37096875 |
transcript.pyannote[1195].end |
8358.79221875 |
transcript.pyannote[1196].speaker |
SPEAKER_59 |
transcript.pyannote[1196].start |
8358.79221875 |
transcript.pyannote[1196].end |
8359.14659375 |
transcript.pyannote[1197].speaker |
SPEAKER_37 |
transcript.pyannote[1197].start |
8359.14659375 |
transcript.pyannote[1197].end |
8371.38096875 |
transcript.pyannote[1198].speaker |
SPEAKER_37 |
transcript.pyannote[1198].start |
8372.05596875 |
transcript.pyannote[1198].end |
8395.20846875 |
transcript.pyannote[1199].speaker |
SPEAKER_59 |
transcript.pyannote[1199].start |
8394.65159375 |
transcript.pyannote[1199].end |
8395.93409375 |
transcript.pyannote[1200].speaker |
SPEAKER_37 |
transcript.pyannote[1200].start |
8395.76534375 |
transcript.pyannote[1200].end |
8397.30096875 |
transcript.pyannote[1201].speaker |
SPEAKER_37 |
transcript.pyannote[1201].start |
8397.50346875 |
transcript.pyannote[1201].end |
8408.52284375 |
transcript.pyannote[1202].speaker |
SPEAKER_54 |
transcript.pyannote[1202].start |
8408.52284375 |
transcript.pyannote[1202].end |
8408.60721875 |
transcript.pyannote[1203].speaker |
SPEAKER_37 |
transcript.pyannote[1203].start |
8408.60721875 |
transcript.pyannote[1203].end |
8408.65784375 |
transcript.pyannote[1204].speaker |
SPEAKER_54 |
transcript.pyannote[1204].start |
8408.65784375 |
transcript.pyannote[1204].end |
8408.99534375 |
transcript.pyannote[1205].speaker |
SPEAKER_37 |
transcript.pyannote[1205].start |
8408.99534375 |
transcript.pyannote[1205].end |
8409.02909375 |
transcript.pyannote[1206].speaker |
SPEAKER_54 |
transcript.pyannote[1206].start |
8409.02909375 |
transcript.pyannote[1206].end |
8409.18096875 |
transcript.pyannote[1207].speaker |
SPEAKER_37 |
transcript.pyannote[1207].start |
8409.18096875 |
transcript.pyannote[1207].end |
8409.40034375 |
transcript.pyannote[1208].speaker |
SPEAKER_54 |
transcript.pyannote[1208].start |
8409.40034375 |
transcript.pyannote[1208].end |
8409.46784375 |
transcript.pyannote[1209].speaker |
SPEAKER_37 |
transcript.pyannote[1209].start |
8409.46784375 |
transcript.pyannote[1209].end |
8409.50159375 |
transcript.pyannote[1210].speaker |
SPEAKER_54 |
transcript.pyannote[1210].start |
8409.50159375 |
transcript.pyannote[1210].end |
8422.32659375 |
transcript.pyannote[1211].speaker |
SPEAKER_37 |
transcript.pyannote[1211].start |
8416.38659375 |
transcript.pyannote[1211].end |
8417.97284375 |
transcript.pyannote[1212].speaker |
SPEAKER_37 |
transcript.pyannote[1212].start |
8421.17909375 |
transcript.pyannote[1212].end |
8428.24971875 |
transcript.pyannote[1213].speaker |
SPEAKER_54 |
transcript.pyannote[1213].start |
8427.25409375 |
transcript.pyannote[1213].end |
8437.04159375 |
transcript.pyannote[1214].speaker |
SPEAKER_37 |
transcript.pyannote[1214].start |
8431.25346875 |
transcript.pyannote[1214].end |
8433.80159375 |
transcript.pyannote[1215].speaker |
SPEAKER_37 |
transcript.pyannote[1215].start |
8436.73784375 |
transcript.pyannote[1215].end |
8448.70221875 |
transcript.pyannote[1216].speaker |
SPEAKER_54 |
transcript.pyannote[1216].start |
8440.16346875 |
transcript.pyannote[1216].end |
8441.05784375 |
transcript.pyannote[1217].speaker |
SPEAKER_54 |
transcript.pyannote[1217].start |
8447.68971875 |
transcript.pyannote[1217].end |
8450.87909375 |
transcript.pyannote[1218].speaker |
SPEAKER_54 |
transcript.pyannote[1218].start |
8451.18284375 |
transcript.pyannote[1218].end |
8453.03909375 |
transcript.pyannote[1219].speaker |
SPEAKER_37 |
transcript.pyannote[1219].start |
8451.73971875 |
transcript.pyannote[1219].end |
8452.92096875 |
transcript.pyannote[1220].speaker |
SPEAKER_37 |
transcript.pyannote[1220].start |
8453.03909375 |
transcript.pyannote[1220].end |
8475.63471875 |
transcript.pyannote[1221].speaker |
SPEAKER_54 |
transcript.pyannote[1221].start |
8454.30471875 |
transcript.pyannote[1221].end |
8454.70971875 |
transcript.pyannote[1222].speaker |
SPEAKER_54 |
transcript.pyannote[1222].start |
8455.60409375 |
transcript.pyannote[1222].end |
8458.05096875 |
transcript.pyannote[1223].speaker |
SPEAKER_37 |
transcript.pyannote[1223].start |
8476.29284375 |
transcript.pyannote[1223].end |
8480.22471875 |
transcript.pyannote[1224].speaker |
SPEAKER_54 |
transcript.pyannote[1224].start |
8478.75659375 |
transcript.pyannote[1224].end |
8486.46846875 |
transcript.pyannote[1225].speaker |
SPEAKER_59 |
transcript.pyannote[1225].start |
8487.00846875 |
transcript.pyannote[1225].end |
8487.10971875 |
transcript.pyannote[1226].speaker |
SPEAKER_54 |
transcript.pyannote[1226].start |
8487.10971875 |
transcript.pyannote[1226].end |
8487.97034375 |
transcript.pyannote[1227].speaker |
SPEAKER_37 |
transcript.pyannote[1227].start |
8487.19409375 |
transcript.pyannote[1227].end |
8499.46221875 |
transcript.pyannote[1228].speaker |
SPEAKER_54 |
transcript.pyannote[1228].start |
8496.35721875 |
transcript.pyannote[1228].end |
8501.38596875 |
transcript.pyannote[1229].speaker |
SPEAKER_37 |
transcript.pyannote[1229].start |
8500.77846875 |
transcript.pyannote[1229].end |
8530.02284375 |
transcript.pyannote[1230].speaker |
SPEAKER_54 |
transcript.pyannote[1230].start |
8502.34784375 |
transcript.pyannote[1230].end |
8502.92159375 |
transcript.pyannote[1231].speaker |
SPEAKER_58 |
transcript.pyannote[1231].start |
8517.61971875 |
transcript.pyannote[1231].end |
8517.99096875 |
transcript.pyannote[1232].speaker |
SPEAKER_37 |
transcript.pyannote[1232].start |
8530.19159375 |
transcript.pyannote[1232].end |
8541.05909375 |
transcript.pyannote[1233].speaker |
SPEAKER_37 |
transcript.pyannote[1233].start |
8541.37971875 |
transcript.pyannote[1233].end |
8590.55346875 |
transcript.pyannote[1234].speaker |
SPEAKER_37 |
transcript.pyannote[1234].start |
8591.02596875 |
transcript.pyannote[1234].end |
8605.11659375 |
transcript.pyannote[1235].speaker |
SPEAKER_37 |
transcript.pyannote[1235].start |
8605.50471875 |
transcript.pyannote[1235].end |
8606.12909375 |
transcript.pyannote[1236].speaker |
SPEAKER_37 |
transcript.pyannote[1236].start |
8606.73659375 |
transcript.pyannote[1236].end |
8607.02346875 |
transcript.pyannote[1237].speaker |
SPEAKER_54 |
transcript.pyannote[1237].start |
8607.02346875 |
transcript.pyannote[1237].end |
8615.74784375 |
transcript.pyannote[1238].speaker |
SPEAKER_37 |
transcript.pyannote[1238].start |
8613.68909375 |
transcript.pyannote[1238].end |
8613.97596875 |
transcript.pyannote[1239].speaker |
SPEAKER_11 |
transcript.pyannote[1239].start |
8613.97596875 |
transcript.pyannote[1239].end |
8614.12784375 |
transcript.pyannote[1240].speaker |
SPEAKER_11 |
transcript.pyannote[1240].start |
8614.21221875 |
transcript.pyannote[1240].end |
8614.75221875 |
transcript.pyannote[1241].speaker |
SPEAKER_37 |
transcript.pyannote[1241].start |
8614.75221875 |
transcript.pyannote[1241].end |
8614.76909375 |
transcript.pyannote[1242].speaker |
SPEAKER_54 |
transcript.pyannote[1242].start |
8616.10221875 |
transcript.pyannote[1242].end |
8628.92721875 |
transcript.pyannote[1243].speaker |
SPEAKER_37 |
transcript.pyannote[1243].start |
8621.90721875 |
transcript.pyannote[1243].end |
8623.30784375 |
transcript.pyannote[1244].speaker |
SPEAKER_37 |
transcript.pyannote[1244].start |
8626.34534375 |
transcript.pyannote[1244].end |
8626.37909375 |
transcript.pyannote[1245].speaker |
SPEAKER_58 |
transcript.pyannote[1245].start |
8626.37909375 |
transcript.pyannote[1245].end |
8627.12159375 |
transcript.pyannote[1246].speaker |
SPEAKER_37 |
transcript.pyannote[1246].start |
8627.12159375 |
transcript.pyannote[1246].end |
8627.13846875 |
transcript.pyannote[1247].speaker |
SPEAKER_54 |
transcript.pyannote[1247].start |
8629.45034375 |
transcript.pyannote[1247].end |
8631.96471875 |
transcript.pyannote[1248].speaker |
SPEAKER_37 |
transcript.pyannote[1248].start |
8631.96471875 |
transcript.pyannote[1248].end |
8635.99784375 |
transcript.pyannote[1249].speaker |
SPEAKER_37 |
transcript.pyannote[1249].start |
8636.13284375 |
transcript.pyannote[1249].end |
8641.17846875 |
transcript.pyannote[1250].speaker |
SPEAKER_37 |
transcript.pyannote[1250].start |
8641.49909375 |
transcript.pyannote[1250].end |
8661.95159375 |
transcript.pyannote[1251].speaker |
SPEAKER_01 |
transcript.pyannote[1251].start |
8658.98159375 |
transcript.pyannote[1251].end |
8659.62284375 |
transcript.pyannote[1252].speaker |
SPEAKER_00 |
transcript.pyannote[1252].start |
8659.62284375 |
transcript.pyannote[1252].end |
8659.69034375 |
transcript.pyannote[1253].speaker |
SPEAKER_37 |
transcript.pyannote[1253].start |
8662.30596875 |
transcript.pyannote[1253].end |
8700.22409375 |
transcript.pyannote[1254].speaker |
SPEAKER_54 |
transcript.pyannote[1254].start |
8700.56159375 |
transcript.pyannote[1254].end |
8714.97284375 |
transcript.pyannote[1255].speaker |
SPEAKER_37 |
transcript.pyannote[1255].start |
8714.51721875 |
transcript.pyannote[1255].end |
8716.55909375 |
transcript.pyannote[1256].speaker |
SPEAKER_54 |
transcript.pyannote[1256].start |
8715.39471875 |
transcript.pyannote[1256].end |
8716.01909375 |
transcript.pyannote[1257].speaker |
SPEAKER_54 |
transcript.pyannote[1257].start |
8716.15409375 |
transcript.pyannote[1257].end |
8716.60971875 |
transcript.pyannote[1258].speaker |
SPEAKER_37 |
transcript.pyannote[1258].start |
8716.60971875 |
transcript.pyannote[1258].end |
8716.64346875 |
transcript.pyannote[1259].speaker |
SPEAKER_37 |
transcript.pyannote[1259].start |
8716.96409375 |
transcript.pyannote[1259].end |
8726.44784375 |
transcript.pyannote[1260].speaker |
SPEAKER_54 |
transcript.pyannote[1260].start |
8724.13596875 |
transcript.pyannote[1260].end |
8731.61159375 |
transcript.pyannote[1261].speaker |
SPEAKER_43 |
transcript.pyannote[1261].start |
8728.42221875 |
transcript.pyannote[1261].end |
8728.79346875 |
transcript.pyannote[1262].speaker |
SPEAKER_43 |
transcript.pyannote[1262].start |
8729.43471875 |
transcript.pyannote[1262].end |
8734.68284375 |
transcript.pyannote[1263].speaker |
SPEAKER_37 |
transcript.pyannote[1263].start |
8743.82909375 |
transcript.pyannote[1263].end |
8744.74034375 |
transcript.pyannote[1264].speaker |
SPEAKER_37 |
transcript.pyannote[1264].start |
8745.02721875 |
transcript.pyannote[1264].end |
8747.17034375 |
transcript.pyannote[1265].speaker |
SPEAKER_43 |
transcript.pyannote[1265].start |
8748.06471875 |
transcript.pyannote[1265].end |
8750.88284375 |
transcript.pyannote[1266].speaker |
SPEAKER_37 |
transcript.pyannote[1266].start |
8751.23721875 |
transcript.pyannote[1266].end |
8760.36659375 |
transcript.pyannote[1267].speaker |
SPEAKER_37 |
transcript.pyannote[1267].start |
8760.85596875 |
transcript.pyannote[1267].end |
8763.94409375 |
transcript.pyannote[1268].speaker |
SPEAKER_59 |
transcript.pyannote[1268].start |
8763.94409375 |
transcript.pyannote[1268].end |
8764.80471875 |
transcript.pyannote[1269].speaker |
SPEAKER_37 |
transcript.pyannote[1269].start |
8764.95659375 |
transcript.pyannote[1269].end |
8766.08721875 |
transcript.pyannote[1270].speaker |
SPEAKER_37 |
transcript.pyannote[1270].start |
8766.79596875 |
transcript.pyannote[1270].end |
8845.95659375 |
transcript.pyannote[1271].speaker |
SPEAKER_37 |
transcript.pyannote[1271].start |
8846.22659375 |
transcript.pyannote[1271].end |
8847.52596875 |
transcript.pyannote[1272].speaker |
SPEAKER_37 |
transcript.pyannote[1272].start |
8847.74534375 |
transcript.pyannote[1272].end |
8848.72409375 |
transcript.pyannote[1273].speaker |
SPEAKER_37 |
transcript.pyannote[1273].start |
8849.38221875 |
transcript.pyannote[1273].end |
8869.39596875 |
transcript.pyannote[1274].speaker |
SPEAKER_37 |
transcript.pyannote[1274].start |
8869.61534375 |
transcript.pyannote[1274].end |
8888.95409375 |
transcript.pyannote[1275].speaker |
SPEAKER_37 |
transcript.pyannote[1275].start |
8889.37596875 |
transcript.pyannote[1275].end |
8904.58034375 |
transcript.pyannote[1276].speaker |
SPEAKER_37 |
transcript.pyannote[1276].start |
8905.54221875 |
transcript.pyannote[1276].end |
8906.09909375 |
transcript.pyannote[1277].speaker |
SPEAKER_37 |
transcript.pyannote[1277].start |
8906.99346875 |
transcript.pyannote[1277].end |
8913.30471875 |
transcript.pyannote[1278].speaker |
SPEAKER_37 |
transcript.pyannote[1278].start |
8913.69284375 |
transcript.pyannote[1278].end |
8925.42096875 |
transcript.pyannote[1279].speaker |
SPEAKER_37 |
transcript.pyannote[1279].start |
8925.79221875 |
transcript.pyannote[1279].end |
8926.45034375 |
transcript.pyannote[1280].speaker |
SPEAKER_37 |
transcript.pyannote[1280].start |
8926.60221875 |
transcript.pyannote[1280].end |
8930.73659375 |
transcript.pyannote[1281].speaker |
SPEAKER_37 |
transcript.pyannote[1281].start |
8930.85471875 |
transcript.pyannote[1281].end |
8946.21096875 |
transcript.pyannote[1282].speaker |
SPEAKER_37 |
transcript.pyannote[1282].start |
8946.34596875 |
transcript.pyannote[1282].end |
8947.49346875 |
transcript.pyannote[1283].speaker |
SPEAKER_54 |
transcript.pyannote[1283].start |
8948.13471875 |
transcript.pyannote[1283].end |
8965.06034375 |
transcript.pyannote[1284].speaker |
SPEAKER_37 |
transcript.pyannote[1284].start |
8964.85784375 |
transcript.pyannote[1284].end |
9003.48471875 |
transcript.pyannote[1285].speaker |
SPEAKER_37 |
transcript.pyannote[1285].start |
9004.04159375 |
transcript.pyannote[1285].end |
9033.82596875 |
transcript.pyannote[1286].speaker |
SPEAKER_37 |
transcript.pyannote[1286].start |
9034.58534375 |
transcript.pyannote[1286].end |
9041.52096875 |
transcript.pyannote[1287].speaker |
SPEAKER_12 |
transcript.pyannote[1287].start |
9041.52096875 |
transcript.pyannote[1287].end |
9041.84159375 |
transcript.pyannote[1288].speaker |
SPEAKER_37 |
transcript.pyannote[1288].start |
9041.79096875 |
transcript.pyannote[1288].end |
9054.95346875 |
transcript.pyannote[1289].speaker |
SPEAKER_37 |
transcript.pyannote[1289].start |
9055.64534375 |
transcript.pyannote[1289].end |
9062.73284375 |
transcript.pyannote[1290].speaker |
SPEAKER_54 |
transcript.pyannote[1290].start |
9063.57659375 |
transcript.pyannote[1290].end |
9075.00096875 |
transcript.pyannote[1291].speaker |
SPEAKER_37 |
transcript.pyannote[1291].start |
9074.25846875 |
transcript.pyannote[1291].end |
9079.33784375 |
transcript.pyannote[1292].speaker |
SPEAKER_54 |
transcript.pyannote[1292].start |
9075.54096875 |
transcript.pyannote[1292].end |
9075.96284375 |
transcript.pyannote[1293].speaker |
SPEAKER_54 |
transcript.pyannote[1293].start |
9076.43534375 |
transcript.pyannote[1293].end |
9076.87409375 |
transcript.pyannote[1294].speaker |
SPEAKER_37 |
transcript.pyannote[1294].start |
9079.48971875 |
transcript.pyannote[1294].end |
9105.91596875 |
transcript.pyannote[1295].speaker |
SPEAKER_37 |
transcript.pyannote[1295].start |
9106.42221875 |
transcript.pyannote[1295].end |
9130.33409375 |
transcript.pyannote[1296].speaker |
SPEAKER_59 |
transcript.pyannote[1296].start |
9126.75659375 |
transcript.pyannote[1296].end |
9127.00971875 |
transcript.pyannote[1297].speaker |
SPEAKER_37 |
transcript.pyannote[1297].start |
9130.53659375 |
transcript.pyannote[1297].end |
9153.06471875 |
transcript.pyannote[1298].speaker |
SPEAKER_54 |
transcript.pyannote[1298].start |
9153.06471875 |
transcript.pyannote[1298].end |
9157.03034375 |
transcript.pyannote[1299].speaker |
SPEAKER_37 |
transcript.pyannote[1299].start |
9157.03034375 |
transcript.pyannote[1299].end |
9164.70846875 |
transcript.pyannote[1300].speaker |
SPEAKER_54 |
transcript.pyannote[1300].start |
9160.74284375 |
transcript.pyannote[1300].end |
9161.78909375 |
transcript.pyannote[1301].speaker |
SPEAKER_43 |
transcript.pyannote[1301].start |
9161.78909375 |
transcript.pyannote[1301].end |
9161.89034375 |
transcript.pyannote[1302].speaker |
SPEAKER_43 |
transcript.pyannote[1302].start |
9162.29534375 |
transcript.pyannote[1302].end |
9162.64971875 |
transcript.pyannote[1303].speaker |
SPEAKER_43 |
transcript.pyannote[1303].start |
9163.94909375 |
transcript.pyannote[1303].end |
9168.08346875 |
transcript.pyannote[1304].speaker |
SPEAKER_43 |
transcript.pyannote[1304].start |
9777.25409375 |
transcript.pyannote[1304].end |
9779.21159375 |
transcript.pyannote[1305].speaker |
SPEAKER_43 |
transcript.pyannote[1305].start |
9779.43096875 |
transcript.pyannote[1305].end |
9780.51096875 |
transcript.pyannote[1306].speaker |
SPEAKER_43 |
transcript.pyannote[1306].start |
9787.83471875 |
transcript.pyannote[1306].end |
9788.86409375 |
transcript.pyannote[1307].speaker |
SPEAKER_43 |
transcript.pyannote[1307].start |
9789.18471875 |
transcript.pyannote[1307].end |
9791.63159375 |
transcript.pyannote[1308].speaker |
SPEAKER_43 |
transcript.pyannote[1308].start |
9792.37409375 |
transcript.pyannote[1308].end |
9792.89721875 |
transcript.pyannote[1309].speaker |
SPEAKER_59 |
transcript.pyannote[1309].start |
9800.74409375 |
transcript.pyannote[1309].end |
9800.76096875 |
transcript.pyannote[1310].speaker |
SPEAKER_39 |
transcript.pyannote[1310].start |
9800.76096875 |
transcript.pyannote[1310].end |
9802.39784375 |
transcript.pyannote[1311].speaker |
SPEAKER_58 |
transcript.pyannote[1311].start |
9800.89596875 |
transcript.pyannote[1311].end |
9801.89159375 |
transcript.pyannote[1312].speaker |
SPEAKER_58 |
transcript.pyannote[1312].start |
9802.39784375 |
transcript.pyannote[1312].end |
9805.03034375 |
transcript.pyannote[1313].speaker |
SPEAKER_39 |
transcript.pyannote[1313].start |
9802.43159375 |
transcript.pyannote[1313].end |
9802.88721875 |
transcript.pyannote[1314].speaker |
SPEAKER_39 |
transcript.pyannote[1314].start |
9805.24971875 |
transcript.pyannote[1314].end |
9806.17784375 |
transcript.pyannote[1315].speaker |
SPEAKER_39 |
transcript.pyannote[1315].start |
9807.07221875 |
transcript.pyannote[1315].end |
9807.74721875 |
transcript.pyannote[1316].speaker |
SPEAKER_58 |
transcript.pyannote[1316].start |
9819.77909375 |
transcript.pyannote[1316].end |
9820.36971875 |
transcript.pyannote[1317].speaker |
SPEAKER_58 |
transcript.pyannote[1317].start |
9820.99409375 |
transcript.pyannote[1317].end |
9857.46096875 |
transcript.pyannote[1318].speaker |
SPEAKER_31 |
transcript.pyannote[1318].start |
9858.28784375 |
transcript.pyannote[1318].end |
9883.19534375 |
transcript.pyannote[1319].speaker |
SPEAKER_58 |
transcript.pyannote[1319].start |
9884.68034375 |
transcript.pyannote[1319].end |
9904.49159375 |
transcript.pyannote[1320].speaker |
SPEAKER_58 |
transcript.pyannote[1320].start |
9904.82909375 |
transcript.pyannote[1320].end |
9949.88534375 |
transcript.pyannote[1321].speaker |
SPEAKER_58 |
transcript.pyannote[1321].start |
9950.13846875 |
transcript.pyannote[1321].end |
9953.78346875 |
transcript.pyannote[1322].speaker |
SPEAKER_58 |
transcript.pyannote[1322].start |
9954.59346875 |
transcript.pyannote[1322].end |
9975.46784375 |
transcript.pyannote[1323].speaker |
SPEAKER_58 |
transcript.pyannote[1323].start |
9976.14284375 |
transcript.pyannote[1323].end |
9981.52596875 |
transcript.pyannote[1324].speaker |
SPEAKER_58 |
transcript.pyannote[1324].start |
9981.96471875 |
transcript.pyannote[1324].end |
9986.28471875 |
transcript.pyannote[1325].speaker |
SPEAKER_58 |
transcript.pyannote[1325].start |
9986.70659375 |
transcript.pyannote[1325].end |
10006.97346875 |
transcript.pyannote[1326].speaker |
SPEAKER_58 |
transcript.pyannote[1326].start |
10007.93534375 |
transcript.pyannote[1326].end |
10052.80596875 |
transcript.pyannote[1327].speaker |
SPEAKER_31 |
transcript.pyannote[1327].start |
10053.49784375 |
transcript.pyannote[1327].end |
10059.45471875 |
transcript.pyannote[1328].speaker |
SPEAKER_31 |
transcript.pyannote[1328].start |
10059.91034375 |
transcript.pyannote[1328].end |
10075.19909375 |
transcript.pyannote[1329].speaker |
SPEAKER_59 |
transcript.pyannote[1329].start |
10075.21596875 |
transcript.pyannote[1329].end |
10075.67159375 |
transcript.pyannote[1330].speaker |
SPEAKER_31 |
transcript.pyannote[1330].start |
10075.92471875 |
transcript.pyannote[1330].end |
10085.84721875 |
transcript.pyannote[1331].speaker |
SPEAKER_59 |
transcript.pyannote[1331].start |
10085.84721875 |
transcript.pyannote[1331].end |
10086.21846875 |
transcript.pyannote[1332].speaker |
SPEAKER_31 |
transcript.pyannote[1332].start |
10086.21846875 |
transcript.pyannote[1332].end |
10091.73659375 |
transcript.pyannote[1333].speaker |
SPEAKER_31 |
transcript.pyannote[1333].start |
10092.22596875 |
transcript.pyannote[1333].end |
10093.66034375 |
transcript.pyannote[1334].speaker |
SPEAKER_31 |
transcript.pyannote[1334].start |
10094.04846875 |
transcript.pyannote[1334].end |
10105.23659375 |
transcript.pyannote[1335].speaker |
SPEAKER_31 |
transcript.pyannote[1335].start |
10105.55721875 |
transcript.pyannote[1335].end |
10116.94784375 |
transcript.pyannote[1336].speaker |
SPEAKER_39 |
transcript.pyannote[1336].start |
10109.96159375 |
transcript.pyannote[1336].end |
10109.99534375 |
transcript.pyannote[1337].speaker |
SPEAKER_59 |
transcript.pyannote[1337].start |
10109.99534375 |
transcript.pyannote[1337].end |
10110.16409375 |
transcript.pyannote[1338].speaker |
SPEAKER_39 |
transcript.pyannote[1338].start |
10110.16409375 |
transcript.pyannote[1338].end |
10110.19784375 |
transcript.pyannote[1339].speaker |
SPEAKER_39 |
transcript.pyannote[1339].start |
10117.50471875 |
transcript.pyannote[1339].end |
10117.90971875 |
transcript.pyannote[1340].speaker |
SPEAKER_31 |
transcript.pyannote[1340].start |
10117.84221875 |
transcript.pyannote[1340].end |
10125.97596875 |
transcript.pyannote[1341].speaker |
SPEAKER_31 |
transcript.pyannote[1341].start |
10126.33034375 |
transcript.pyannote[1341].end |
10127.41034375 |
transcript.pyannote[1342].speaker |
SPEAKER_31 |
transcript.pyannote[1342].start |
10127.83221875 |
transcript.pyannote[1342].end |
10132.06784375 |
transcript.pyannote[1343].speaker |
SPEAKER_58 |
transcript.pyannote[1343].start |
10133.38409375 |
transcript.pyannote[1343].end |
10168.43346875 |
transcript.pyannote[1344].speaker |
SPEAKER_58 |
transcript.pyannote[1344].start |
10168.80471875 |
transcript.pyannote[1344].end |
10187.77221875 |
transcript.pyannote[1345].speaker |
SPEAKER_31 |
transcript.pyannote[1345].start |
10187.77221875 |
transcript.pyannote[1345].end |
10194.47159375 |
transcript.pyannote[1346].speaker |
SPEAKER_31 |
transcript.pyannote[1346].start |
10194.57284375 |
transcript.pyannote[1346].end |
10202.01471875 |
transcript.pyannote[1347].speaker |
SPEAKER_58 |
transcript.pyannote[1347].start |
10202.16659375 |
transcript.pyannote[1347].end |
10207.11096875 |
transcript.pyannote[1348].speaker |
SPEAKER_58 |
transcript.pyannote[1348].start |
10207.51596875 |
transcript.pyannote[1348].end |
10211.68409375 |
transcript.pyannote[1349].speaker |
SPEAKER_58 |
transcript.pyannote[1349].start |
10212.42659375 |
transcript.pyannote[1349].end |
10214.75534375 |
transcript.pyannote[1350].speaker |
SPEAKER_31 |
transcript.pyannote[1350].start |
10214.75534375 |
transcript.pyannote[1350].end |
10216.02096875 |
transcript.pyannote[1351].speaker |
SPEAKER_31 |
transcript.pyannote[1351].start |
10216.54409375 |
transcript.pyannote[1351].end |
10225.55534375 |
transcript.pyannote[1352].speaker |
SPEAKER_58 |
transcript.pyannote[1352].start |
10226.11221875 |
transcript.pyannote[1352].end |
10230.39846875 |
transcript.pyannote[1353].speaker |
SPEAKER_43 |
transcript.pyannote[1353].start |
10229.63909375 |
transcript.pyannote[1353].end |
10233.79034375 |
transcript.pyannote[1354].speaker |
SPEAKER_58 |
transcript.pyannote[1354].start |
10230.73596875 |
transcript.pyannote[1354].end |
10231.00596875 |
transcript.pyannote[1355].speaker |
SPEAKER_42 |
transcript.pyannote[1355].start |
10231.00596875 |
transcript.pyannote[1355].end |
10231.05659375 |
transcript.pyannote[1356].speaker |
SPEAKER_11 |
transcript.pyannote[1356].start |
10242.97034375 |
transcript.pyannote[1356].end |
10243.00409375 |
transcript.pyannote[1357].speaker |
SPEAKER_37 |
transcript.pyannote[1357].start |
10243.00409375 |
transcript.pyannote[1357].end |
10245.55221875 |
transcript.pyannote[1358].speaker |
SPEAKER_37 |
transcript.pyannote[1358].start |
10246.14284375 |
transcript.pyannote[1358].end |
10250.09159375 |
transcript.pyannote[1359].speaker |
SPEAKER_42 |
transcript.pyannote[1359].start |
10250.20971875 |
transcript.pyannote[1359].end |
10251.55971875 |
transcript.pyannote[1360].speaker |
SPEAKER_42 |
transcript.pyannote[1360].start |
10252.36971875 |
transcript.pyannote[1360].end |
10253.92221875 |
transcript.pyannote[1361].speaker |
SPEAKER_43 |
transcript.pyannote[1361].start |
10259.45721875 |
transcript.pyannote[1361].end |
10259.59221875 |
transcript.pyannote[1362].speaker |
SPEAKER_01 |
transcript.pyannote[1362].start |
10259.96346875 |
transcript.pyannote[1362].end |
10260.28409375 |
transcript.pyannote[1363].speaker |
SPEAKER_43 |
transcript.pyannote[1363].start |
10260.68909375 |
transcript.pyannote[1363].end |
10262.35971875 |
transcript.pyannote[1364].speaker |
SPEAKER_37 |
transcript.pyannote[1364].start |
10270.47659375 |
transcript.pyannote[1364].end |
10271.89409375 |
transcript.pyannote[1365].speaker |
SPEAKER_11 |
transcript.pyannote[1365].start |
10271.30346875 |
transcript.pyannote[1365].end |
10272.53534375 |
transcript.pyannote[1366].speaker |
SPEAKER_37 |
transcript.pyannote[1366].start |
10272.60284375 |
transcript.pyannote[1366].end |
10273.15971875 |
transcript.pyannote[1367].speaker |
SPEAKER_37 |
transcript.pyannote[1367].start |
10273.80096875 |
transcript.pyannote[1367].end |
10282.91346875 |
transcript.pyannote[1368].speaker |
SPEAKER_37 |
transcript.pyannote[1368].start |
10283.21721875 |
transcript.pyannote[1368].end |
10285.39409375 |
transcript.pyannote[1369].speaker |
SPEAKER_37 |
transcript.pyannote[1369].start |
10285.54596875 |
transcript.pyannote[1369].end |
10290.92909375 |
transcript.pyannote[1370].speaker |
SPEAKER_37 |
transcript.pyannote[1370].start |
10291.06409375 |
transcript.pyannote[1370].end |
10314.43596875 |
transcript.pyannote[1371].speaker |
SPEAKER_37 |
transcript.pyannote[1371].start |
10317.38909375 |
transcript.pyannote[1371].end |
10346.44784375 |
transcript.pyannote[1372].speaker |
SPEAKER_59 |
transcript.pyannote[1372].start |
10336.93034375 |
transcript.pyannote[1372].end |
10338.17909375 |
transcript.pyannote[1373].speaker |
SPEAKER_11 |
transcript.pyannote[1373].start |
10338.17909375 |
transcript.pyannote[1373].end |
10338.19596875 |
transcript.pyannote[1374].speaker |
SPEAKER_11 |
transcript.pyannote[1374].start |
10342.16159375 |
transcript.pyannote[1374].end |
10342.24596875 |
transcript.pyannote[1375].speaker |
SPEAKER_11 |
transcript.pyannote[1375].start |
10344.33846875 |
transcript.pyannote[1375].end |
10345.60409375 |
transcript.pyannote[1376].speaker |
SPEAKER_37 |
transcript.pyannote[1376].start |
10346.80221875 |
transcript.pyannote[1376].end |
10361.38221875 |
transcript.pyannote[1377].speaker |
SPEAKER_37 |
transcript.pyannote[1377].start |
10361.77034375 |
transcript.pyannote[1377].end |
10368.46971875 |
transcript.pyannote[1378].speaker |
SPEAKER_37 |
transcript.pyannote[1378].start |
10368.68909375 |
transcript.pyannote[1378].end |
10369.44846875 |
transcript.pyannote[1379].speaker |
SPEAKER_37 |
transcript.pyannote[1379].start |
10369.56659375 |
transcript.pyannote[1379].end |
10370.29221875 |
transcript.pyannote[1380].speaker |
SPEAKER_37 |
transcript.pyannote[1380].start |
10370.66346875 |
transcript.pyannote[1380].end |
10376.45159375 |
transcript.pyannote[1381].speaker |
SPEAKER_37 |
transcript.pyannote[1381].start |
10376.60346875 |
transcript.pyannote[1381].end |
10383.87659375 |
transcript.pyannote[1382].speaker |
SPEAKER_37 |
transcript.pyannote[1382].start |
10384.51784375 |
transcript.pyannote[1382].end |
10397.76471875 |
transcript.pyannote[1383].speaker |
SPEAKER_37 |
transcript.pyannote[1383].start |
10398.64221875 |
transcript.pyannote[1383].end |
10406.53971875 |
transcript.pyannote[1384].speaker |
SPEAKER_37 |
transcript.pyannote[1384].start |
10406.80971875 |
transcript.pyannote[1384].end |
10416.51284375 |
transcript.pyannote[1385].speaker |
SPEAKER_37 |
transcript.pyannote[1385].start |
10417.00221875 |
transcript.pyannote[1385].end |
10438.43346875 |
transcript.pyannote[1386].speaker |
SPEAKER_37 |
transcript.pyannote[1386].start |
10439.00721875 |
transcript.pyannote[1386].end |
10468.09971875 |
transcript.pyannote[1387].speaker |
SPEAKER_00 |
transcript.pyannote[1387].start |
10462.98659375 |
transcript.pyannote[1387].end |
10463.03721875 |
transcript.pyannote[1388].speaker |
SPEAKER_59 |
transcript.pyannote[1388].start |
10463.03721875 |
transcript.pyannote[1388].end |
10463.74596875 |
transcript.pyannote[1389].speaker |
SPEAKER_00 |
transcript.pyannote[1389].start |
10463.74596875 |
transcript.pyannote[1389].end |
10463.81346875 |
transcript.pyannote[1390].speaker |
SPEAKER_37 |
transcript.pyannote[1390].start |
10468.52159375 |
transcript.pyannote[1390].end |
10524.29346875 |
transcript.pyannote[1391].speaker |
SPEAKER_37 |
transcript.pyannote[1391].start |
10525.08659375 |
transcript.pyannote[1391].end |
10527.46596875 |
transcript.pyannote[1392].speaker |
SPEAKER_03 |
transcript.pyannote[1392].start |
10529.06909375 |
transcript.pyannote[1392].end |
10530.97596875 |
transcript.pyannote[1393].speaker |
SPEAKER_37 |
transcript.pyannote[1393].start |
10530.97596875 |
transcript.pyannote[1393].end |
10538.89034375 |
transcript.pyannote[1394].speaker |
SPEAKER_45 |
transcript.pyannote[1394].start |
10538.89034375 |
transcript.pyannote[1394].end |
10546.24784375 |
transcript.pyannote[1395].speaker |
SPEAKER_37 |
transcript.pyannote[1395].start |
10547.61471875 |
transcript.pyannote[1395].end |
10548.93096875 |
transcript.pyannote[1396].speaker |
SPEAKER_45 |
transcript.pyannote[1396].start |
10549.26846875 |
transcript.pyannote[1396].end |
10549.55534375 |
transcript.pyannote[1397].speaker |
SPEAKER_37 |
transcript.pyannote[1397].start |
10549.96034375 |
transcript.pyannote[1397].end |
10558.80284375 |
transcript.pyannote[1398].speaker |
SPEAKER_45 |
transcript.pyannote[1398].start |
10559.69721875 |
transcript.pyannote[1398].end |
10573.90596875 |
transcript.pyannote[1399].speaker |
SPEAKER_37 |
transcript.pyannote[1399].start |
10573.88909375 |
transcript.pyannote[1399].end |
10580.95971875 |
transcript.pyannote[1400].speaker |
SPEAKER_03 |
transcript.pyannote[1400].start |
10581.82034375 |
transcript.pyannote[1400].end |
10581.85409375 |
transcript.pyannote[1401].speaker |
SPEAKER_37 |
transcript.pyannote[1401].start |
10581.85409375 |
transcript.pyannote[1401].end |
10582.32659375 |
transcript.pyannote[1402].speaker |
SPEAKER_37 |
transcript.pyannote[1402].start |
10582.93409375 |
transcript.pyannote[1402].end |
10583.96346875 |
transcript.pyannote[1403].speaker |
SPEAKER_03 |
transcript.pyannote[1403].start |
10583.96346875 |
transcript.pyannote[1403].end |
10584.43596875 |
transcript.pyannote[1404].speaker |
SPEAKER_37 |
transcript.pyannote[1404].start |
10584.43596875 |
transcript.pyannote[1404].end |
10584.84096875 |
transcript.pyannote[1405].speaker |
SPEAKER_03 |
transcript.pyannote[1405].start |
10584.84096875 |
transcript.pyannote[1405].end |
10585.14471875 |
transcript.pyannote[1406].speaker |
SPEAKER_37 |
transcript.pyannote[1406].start |
10586.08971875 |
transcript.pyannote[1406].end |
10586.10659375 |
transcript.pyannote[1407].speaker |
SPEAKER_43 |
transcript.pyannote[1407].start |
10586.10659375 |
transcript.pyannote[1407].end |
10586.64659375 |
transcript.pyannote[1408].speaker |
SPEAKER_37 |
transcript.pyannote[1408].start |
10586.64659375 |
transcript.pyannote[1408].end |
10586.96721875 |
transcript.pyannote[1409].speaker |
SPEAKER_43 |
transcript.pyannote[1409].start |
10586.96721875 |
transcript.pyannote[1409].end |
10587.67596875 |
transcript.pyannote[1410].speaker |
SPEAKER_43 |
transcript.pyannote[1410].start |
10588.13159375 |
transcript.pyannote[1410].end |
10589.95409375 |
transcript.pyannote[1411].speaker |
SPEAKER_37 |
transcript.pyannote[1411].start |
10588.72221875 |
transcript.pyannote[1411].end |
10594.13909375 |
transcript.pyannote[1412].speaker |
SPEAKER_37 |
transcript.pyannote[1412].start |
10594.56096875 |
transcript.pyannote[1412].end |
10630.04909375 |
transcript.pyannote[1413].speaker |
SPEAKER_37 |
transcript.pyannote[1413].start |
10630.45409375 |
transcript.pyannote[1413].end |
10635.09471875 |
transcript.pyannote[1414].speaker |
SPEAKER_37 |
transcript.pyannote[1414].start |
10636.46159375 |
transcript.pyannote[1414].end |
10657.96034375 |
transcript.pyannote[1415].speaker |
SPEAKER_37 |
transcript.pyannote[1415].start |
10658.14596875 |
transcript.pyannote[1415].end |
10662.73596875 |
transcript.pyannote[1416].speaker |
SPEAKER_03 |
transcript.pyannote[1416].start |
10662.61784375 |
transcript.pyannote[1416].end |
10662.65159375 |
transcript.pyannote[1417].speaker |
SPEAKER_03 |
transcript.pyannote[1417].start |
10662.73596875 |
transcript.pyannote[1417].end |
10663.15784375 |
transcript.pyannote[1418].speaker |
SPEAKER_37 |
transcript.pyannote[1418].start |
10663.15784375 |
transcript.pyannote[1418].end |
10663.24221875 |
transcript.pyannote[1419].speaker |
SPEAKER_37 |
transcript.pyannote[1419].start |
10663.32659375 |
transcript.pyannote[1419].end |
10663.36034375 |
transcript.pyannote[1420].speaker |
SPEAKER_03 |
transcript.pyannote[1420].start |
10663.36034375 |
transcript.pyannote[1420].end |
10663.41096875 |
transcript.pyannote[1421].speaker |
SPEAKER_37 |
transcript.pyannote[1421].start |
10663.41096875 |
transcript.pyannote[1421].end |
10663.42784375 |
transcript.pyannote[1422].speaker |
SPEAKER_03 |
transcript.pyannote[1422].start |
10663.42784375 |
transcript.pyannote[1422].end |
10663.95096875 |
transcript.pyannote[1423].speaker |
SPEAKER_37 |
transcript.pyannote[1423].start |
10663.95096875 |
transcript.pyannote[1423].end |
10669.97534375 |
transcript.pyannote[1424].speaker |
SPEAKER_03 |
transcript.pyannote[1424].start |
10665.77346875 |
transcript.pyannote[1424].end |
10667.69721875 |
transcript.pyannote[1425].speaker |
SPEAKER_43 |
transcript.pyannote[1425].start |
10668.18659375 |
transcript.pyannote[1425].end |
10668.37221875 |
transcript.pyannote[1426].speaker |
SPEAKER_03 |
transcript.pyannote[1426].start |
10668.37221875 |
transcript.pyannote[1426].end |
10668.40596875 |
transcript.pyannote[1427].speaker |
SPEAKER_43 |
transcript.pyannote[1427].start |
10668.40596875 |
transcript.pyannote[1427].end |
10668.42284375 |
transcript.pyannote[1428].speaker |
SPEAKER_03 |
transcript.pyannote[1428].start |
10668.42284375 |
transcript.pyannote[1428].end |
10668.47346875 |
transcript.pyannote[1429].speaker |
SPEAKER_43 |
transcript.pyannote[1429].start |
10669.87409375 |
transcript.pyannote[1429].end |
10673.83971875 |
transcript.pyannote[1430].speaker |
SPEAKER_37 |
transcript.pyannote[1430].start |
10681.75409375 |
transcript.pyannote[1430].end |
10686.54659375 |
transcript.pyannote[1431].speaker |
SPEAKER_36 |
transcript.pyannote[1431].start |
10686.64784375 |
transcript.pyannote[1431].end |
10687.33971875 |
transcript.pyannote[1432].speaker |
SPEAKER_36 |
transcript.pyannote[1432].start |
10689.51659375 |
transcript.pyannote[1432].end |
10690.17471875 |
transcript.pyannote[1433].speaker |
SPEAKER_37 |
transcript.pyannote[1433].start |
10690.32659375 |
transcript.pyannote[1433].end |
10691.20409375 |
transcript.pyannote[1434].speaker |
SPEAKER_37 |
transcript.pyannote[1434].start |
10691.59221875 |
transcript.pyannote[1434].end |
10695.32159375 |
transcript.pyannote[1435].speaker |
SPEAKER_37 |
transcript.pyannote[1435].start |
10695.92909375 |
transcript.pyannote[1435].end |
10696.33409375 |
transcript.pyannote[1436].speaker |
SPEAKER_43 |
transcript.pyannote[1436].start |
10696.63784375 |
transcript.pyannote[1436].end |
10697.48159375 |
transcript.pyannote[1437].speaker |
SPEAKER_37 |
transcript.pyannote[1437].start |
10697.68409375 |
transcript.pyannote[1437].end |
10698.00471875 |
transcript.pyannote[1438].speaker |
SPEAKER_37 |
transcript.pyannote[1438].start |
10701.48096875 |
transcript.pyannote[1438].end |
10766.71971875 |
transcript.pyannote[1439].speaker |
SPEAKER_43 |
transcript.pyannote[1439].start |
10704.11346875 |
transcript.pyannote[1439].end |
10704.90659375 |
transcript.pyannote[1440].speaker |
SPEAKER_59 |
transcript.pyannote[1440].start |
10704.90659375 |
transcript.pyannote[1440].end |
10704.95721875 |
transcript.pyannote[1441].speaker |
SPEAKER_36 |
transcript.pyannote[1441].start |
10768.03596875 |
transcript.pyannote[1441].end |
10774.95471875 |
transcript.pyannote[1442].speaker |
SPEAKER_37 |
transcript.pyannote[1442].start |
10773.72284375 |
transcript.pyannote[1442].end |
10773.79034375 |
transcript.pyannote[1443].speaker |
SPEAKER_37 |
transcript.pyannote[1443].start |
10773.80721875 |
transcript.pyannote[1443].end |
10773.82409375 |
transcript.pyannote[1444].speaker |
SPEAKER_37 |
transcript.pyannote[1444].start |
10775.08971875 |
transcript.pyannote[1444].end |
10805.97096875 |
transcript.pyannote[1445].speaker |
SPEAKER_36 |
transcript.pyannote[1445].start |
10807.43909375 |
transcript.pyannote[1445].end |
10812.68721875 |
transcript.pyannote[1446].speaker |
SPEAKER_37 |
transcript.pyannote[1446].start |
10812.68721875 |
transcript.pyannote[1446].end |
10816.12971875 |
transcript.pyannote[1447].speaker |
SPEAKER_36 |
transcript.pyannote[1447].start |
10816.82159375 |
transcript.pyannote[1447].end |
10820.36534375 |
transcript.pyannote[1448].speaker |
SPEAKER_37 |
transcript.pyannote[1448].start |
10819.99409375 |
transcript.pyannote[1448].end |
10824.21284375 |
transcript.pyannote[1449].speaker |
SPEAKER_37 |
transcript.pyannote[1449].start |
10824.41534375 |
transcript.pyannote[1449].end |
10841.13846875 |
transcript.pyannote[1450].speaker |
SPEAKER_36 |
transcript.pyannote[1450].start |
10842.20159375 |
transcript.pyannote[1450].end |
10851.49971875 |
transcript.pyannote[1451].speaker |
SPEAKER_37 |
transcript.pyannote[1451].start |
10847.93909375 |
transcript.pyannote[1451].end |
10869.96096875 |
transcript.pyannote[1452].speaker |
SPEAKER_36 |
transcript.pyannote[1452].start |
10852.14096875 |
transcript.pyannote[1452].end |
10852.32659375 |
transcript.pyannote[1453].speaker |
SPEAKER_36 |
transcript.pyannote[1453].start |
10870.04534375 |
transcript.pyannote[1453].end |
10874.19659375 |
transcript.pyannote[1454].speaker |
SPEAKER_37 |
transcript.pyannote[1454].start |
10872.28971875 |
transcript.pyannote[1454].end |
10872.50909375 |
transcript.pyannote[1455].speaker |
SPEAKER_37 |
transcript.pyannote[1455].start |
10874.09534375 |
transcript.pyannote[1455].end |
10888.96221875 |
transcript.pyannote[1456].speaker |
SPEAKER_36 |
transcript.pyannote[1456].start |
10889.51909375 |
transcript.pyannote[1456].end |
10893.18096875 |
transcript.pyannote[1457].speaker |
SPEAKER_37 |
transcript.pyannote[1457].start |
10892.97846875 |
transcript.pyannote[1457].end |
10900.62284375 |
transcript.pyannote[1458].speaker |
SPEAKER_37 |
transcript.pyannote[1458].start |
10901.73659375 |
transcript.pyannote[1458].end |
10965.03471875 |
transcript.pyannote[1459].speaker |
SPEAKER_57 |
transcript.pyannote[1459].start |
10965.40596875 |
transcript.pyannote[1459].end |
10973.80971875 |
transcript.pyannote[1460].speaker |
SPEAKER_37 |
transcript.pyannote[1460].start |
10969.18596875 |
transcript.pyannote[1460].end |
10991.10659375 |
transcript.pyannote[1461].speaker |
SPEAKER_57 |
transcript.pyannote[1461].start |
10974.09659375 |
transcript.pyannote[1461].end |
10974.16409375 |
transcript.pyannote[1462].speaker |
SPEAKER_57 |
transcript.pyannote[1462].start |
10989.38534375 |
transcript.pyannote[1462].end |
10993.04721875 |
transcript.pyannote[1463].speaker |
SPEAKER_37 |
transcript.pyannote[1463].start |
10992.79409375 |
transcript.pyannote[1463].end |
10999.12221875 |
transcript.pyannote[1464].speaker |
SPEAKER_57 |
transcript.pyannote[1464].start |
10998.34596875 |
transcript.pyannote[1464].end |
11000.72534375 |
transcript.pyannote[1465].speaker |
SPEAKER_37 |
transcript.pyannote[1465].start |
10999.67909375 |
transcript.pyannote[1465].end |
11042.03534375 |
transcript.pyannote[1466].speaker |
SPEAKER_57 |
transcript.pyannote[1466].start |
11002.04159375 |
transcript.pyannote[1466].end |
11002.10909375 |
transcript.pyannote[1467].speaker |
SPEAKER_57 |
transcript.pyannote[1467].start |
11042.03534375 |
transcript.pyannote[1467].end |
11042.81159375 |
transcript.pyannote[1468].speaker |
SPEAKER_57 |
transcript.pyannote[1468].start |
11043.14909375 |
transcript.pyannote[1468].end |
11060.53034375 |
transcript.pyannote[1469].speaker |
SPEAKER_37 |
transcript.pyannote[1469].start |
11059.75409375 |
transcript.pyannote[1469].end |
11061.20534375 |
transcript.pyannote[1470].speaker |
SPEAKER_57 |
transcript.pyannote[1470].start |
11060.83409375 |
transcript.pyannote[1470].end |
11068.76534375 |
transcript.pyannote[1471].speaker |
SPEAKER_37 |
transcript.pyannote[1471].start |
11066.52096875 |
transcript.pyannote[1471].end |
11125.09409375 |
transcript.pyannote[1472].speaker |
SPEAKER_57 |
transcript.pyannote[1472].start |
11125.09409375 |
transcript.pyannote[1472].end |
11135.32034375 |
transcript.pyannote[1473].speaker |
SPEAKER_37 |
transcript.pyannote[1473].start |
11125.11096875 |
transcript.pyannote[1473].end |
11125.26284375 |
transcript.pyannote[1474].speaker |
SPEAKER_43 |
transcript.pyannote[1474].start |
11133.41346875 |
transcript.pyannote[1474].end |
11139.62346875 |
transcript.pyannote[1475].speaker |
SPEAKER_57 |
transcript.pyannote[1475].start |
11135.52284375 |
transcript.pyannote[1475].end |
11137.02471875 |
transcript.pyannote[1476].speaker |
SPEAKER_37 |
transcript.pyannote[1476].start |
11149.78221875 |
transcript.pyannote[1476].end |
11150.67659375 |
transcript.pyannote[1477].speaker |
SPEAKER_37 |
transcript.pyannote[1477].start |
11150.82846875 |
transcript.pyannote[1477].end |
11152.22909375 |
transcript.pyannote[1478].speaker |
SPEAKER_39 |
transcript.pyannote[1478].start |
11152.70159375 |
transcript.pyannote[1478].end |
11153.46096875 |
transcript.pyannote[1479].speaker |
SPEAKER_37 |
transcript.pyannote[1479].start |
11165.13846875 |
transcript.pyannote[1479].end |
11166.92721875 |
transcript.pyannote[1480].speaker |
SPEAKER_37 |
transcript.pyannote[1480].start |
11167.23096875 |
transcript.pyannote[1480].end |
11174.82471875 |
transcript.pyannote[1481].speaker |
SPEAKER_37 |
transcript.pyannote[1481].start |
11175.16221875 |
transcript.pyannote[1481].end |
11184.78096875 |
transcript.pyannote[1482].speaker |
SPEAKER_37 |
transcript.pyannote[1482].start |
11185.10159375 |
transcript.pyannote[1482].end |
11192.34096875 |
transcript.pyannote[1483].speaker |
SPEAKER_37 |
transcript.pyannote[1483].start |
11192.67846875 |
transcript.pyannote[1483].end |
11199.68159375 |
transcript.pyannote[1484].speaker |
SPEAKER_37 |
transcript.pyannote[1484].start |
11200.13721875 |
transcript.pyannote[1484].end |
11214.41346875 |
transcript.pyannote[1485].speaker |
SPEAKER_37 |
transcript.pyannote[1485].start |
11214.68346875 |
transcript.pyannote[1485].end |
11226.64784375 |
transcript.pyannote[1486].speaker |
SPEAKER_37 |
transcript.pyannote[1486].start |
11227.00221875 |
transcript.pyannote[1486].end |
11240.83971875 |
transcript.pyannote[1487].speaker |
SPEAKER_03 |
transcript.pyannote[1487].start |
11235.30471875 |
transcript.pyannote[1487].end |
11235.62534375 |
transcript.pyannote[1488].speaker |
SPEAKER_03 |
transcript.pyannote[1488].start |
11239.70909375 |
transcript.pyannote[1488].end |
11240.95784375 |
transcript.pyannote[1489].speaker |
SPEAKER_37 |
transcript.pyannote[1489].start |
11241.36284375 |
transcript.pyannote[1489].end |
11287.78596875 |
transcript.pyannote[1490].speaker |
SPEAKER_03 |
transcript.pyannote[1490].start |
11241.39659375 |
transcript.pyannote[1490].end |
11241.63284375 |
transcript.pyannote[1491].speaker |
SPEAKER_16 |
transcript.pyannote[1491].start |
11270.45534375 |
transcript.pyannote[1491].end |
11270.74221875 |
transcript.pyannote[1492].speaker |
SPEAKER_00 |
transcript.pyannote[1492].start |
11270.74221875 |
transcript.pyannote[1492].end |
11270.79284375 |
transcript.pyannote[1493].speaker |
SPEAKER_00 |
transcript.pyannote[1493].start |
11271.88971875 |
transcript.pyannote[1493].end |
11272.02471875 |
transcript.pyannote[1494].speaker |
SPEAKER_59 |
transcript.pyannote[1494].start |
11272.02471875 |
transcript.pyannote[1494].end |
11272.21034375 |
transcript.pyannote[1495].speaker |
SPEAKER_00 |
transcript.pyannote[1495].start |
11272.21034375 |
transcript.pyannote[1495].end |
11272.26096875 |
transcript.pyannote[1496].speaker |
SPEAKER_59 |
transcript.pyannote[1496].start |
11272.37909375 |
transcript.pyannote[1496].end |
11272.63221875 |
transcript.pyannote[1497].speaker |
SPEAKER_59 |
transcript.pyannote[1497].start |
11273.10471875 |
transcript.pyannote[1497].end |
11275.29846875 |
transcript.pyannote[1498].speaker |
SPEAKER_11 |
transcript.pyannote[1498].start |
11275.29846875 |
transcript.pyannote[1498].end |
11275.92284375 |
transcript.pyannote[1499].speaker |
SPEAKER_11 |
transcript.pyannote[1499].start |
11276.42909375 |
transcript.pyannote[1499].end |
11276.56409375 |
transcript.pyannote[1500].speaker |
SPEAKER_37 |
transcript.pyannote[1500].start |
11288.24159375 |
transcript.pyannote[1500].end |
11289.25409375 |
transcript.pyannote[1501].speaker |
SPEAKER_37 |
transcript.pyannote[1501].start |
11289.74346875 |
transcript.pyannote[1501].end |
11315.41034375 |
transcript.pyannote[1502].speaker |
SPEAKER_11 |
transcript.pyannote[1502].start |
11293.72596875 |
transcript.pyannote[1502].end |
11293.79346875 |
transcript.pyannote[1503].speaker |
SPEAKER_59 |
transcript.pyannote[1503].start |
11293.79346875 |
transcript.pyannote[1503].end |
11293.96221875 |
transcript.pyannote[1504].speaker |
SPEAKER_11 |
transcript.pyannote[1504].start |
11293.96221875 |
transcript.pyannote[1504].end |
11294.09721875 |
transcript.pyannote[1505].speaker |
SPEAKER_62 |
transcript.pyannote[1505].start |
11295.63284375 |
transcript.pyannote[1505].end |
11295.64971875 |
transcript.pyannote[1506].speaker |
SPEAKER_59 |
transcript.pyannote[1506].start |
11295.64971875 |
transcript.pyannote[1506].end |
11296.02096875 |
transcript.pyannote[1507].speaker |
SPEAKER_62 |
transcript.pyannote[1507].start |
11296.02096875 |
transcript.pyannote[1507].end |
11296.03784375 |
transcript.pyannote[1508].speaker |
SPEAKER_59 |
transcript.pyannote[1508].start |
11296.03784375 |
transcript.pyannote[1508].end |
11296.05471875 |
transcript.pyannote[1509].speaker |
SPEAKER_37 |
transcript.pyannote[1509].start |
11316.64221875 |
transcript.pyannote[1509].end |
11346.51096875 |
transcript.pyannote[1510].speaker |
SPEAKER_00 |
transcript.pyannote[1510].start |
11328.89346875 |
transcript.pyannote[1510].end |
11329.55159375 |
transcript.pyannote[1511].speaker |
SPEAKER_00 |
transcript.pyannote[1511].start |
11333.36534375 |
transcript.pyannote[1511].end |
11333.66909375 |
transcript.pyannote[1512].speaker |
SPEAKER_11 |
transcript.pyannote[1512].start |
11333.66909375 |
transcript.pyannote[1512].end |
11333.77034375 |
transcript.pyannote[1513].speaker |
SPEAKER_00 |
transcript.pyannote[1513].start |
11333.77034375 |
transcript.pyannote[1513].end |
11333.83784375 |
transcript.pyannote[1514].speaker |
SPEAKER_11 |
transcript.pyannote[1514].start |
11333.83784375 |
transcript.pyannote[1514].end |
11334.27659375 |
transcript.pyannote[1515].speaker |
SPEAKER_00 |
transcript.pyannote[1515].start |
11334.27659375 |
transcript.pyannote[1515].end |
11334.47909375 |
transcript.pyannote[1516].speaker |
SPEAKER_00 |
transcript.pyannote[1516].start |
11334.83346875 |
transcript.pyannote[1516].end |
11334.85034375 |
transcript.pyannote[1517].speaker |
SPEAKER_00 |
transcript.pyannote[1517].start |
11334.91784375 |
transcript.pyannote[1517].end |
11335.03596875 |
transcript.pyannote[1518].speaker |
SPEAKER_11 |
transcript.pyannote[1518].start |
11335.03596875 |
transcript.pyannote[1518].end |
11335.35659375 |
transcript.pyannote[1519].speaker |
SPEAKER_00 |
transcript.pyannote[1519].start |
11335.35659375 |
transcript.pyannote[1519].end |
11335.60971875 |
transcript.pyannote[1520].speaker |
SPEAKER_11 |
transcript.pyannote[1520].start |
11335.60971875 |
transcript.pyannote[1520].end |
11335.79534375 |
transcript.pyannote[1521].speaker |
SPEAKER_00 |
transcript.pyannote[1521].start |
11335.79534375 |
transcript.pyannote[1521].end |
11335.89659375 |
transcript.pyannote[1522].speaker |
SPEAKER_37 |
transcript.pyannote[1522].start |
11346.74721875 |
transcript.pyannote[1522].end |
11347.82721875 |
transcript.pyannote[1523].speaker |
SPEAKER_37 |
transcript.pyannote[1523].start |
11348.36721875 |
transcript.pyannote[1523].end |
11374.11846875 |
transcript.pyannote[1524].speaker |
SPEAKER_37 |
transcript.pyannote[1524].start |
11374.28721875 |
transcript.pyannote[1524].end |
11380.85159375 |
transcript.pyannote[1525].speaker |
SPEAKER_37 |
transcript.pyannote[1525].start |
11381.45909375 |
transcript.pyannote[1525].end |
11383.83846875 |
transcript.pyannote[1526].speaker |
SPEAKER_37 |
transcript.pyannote[1526].start |
11384.26034375 |
transcript.pyannote[1526].end |
11399.38034375 |
transcript.pyannote[1527].speaker |
SPEAKER_00 |
transcript.pyannote[1527].start |
11391.85409375 |
transcript.pyannote[1527].end |
11392.02284375 |
transcript.pyannote[1528].speaker |
SPEAKER_03 |
transcript.pyannote[1528].start |
11392.02284375 |
transcript.pyannote[1528].end |
11392.63034375 |
transcript.pyannote[1529].speaker |
SPEAKER_00 |
transcript.pyannote[1529].start |
11392.63034375 |
transcript.pyannote[1529].end |
11392.95096875 |
transcript.pyannote[1530].speaker |
SPEAKER_03 |
transcript.pyannote[1530].start |
11394.46971875 |
transcript.pyannote[1530].end |
11395.58346875 |
transcript.pyannote[1531].speaker |
SPEAKER_03 |
transcript.pyannote[1531].start |
11396.14034375 |
transcript.pyannote[1531].end |
11397.42284375 |
transcript.pyannote[1532].speaker |
SPEAKER_03 |
transcript.pyannote[1532].start |
11397.77721875 |
transcript.pyannote[1532].end |
11398.73909375 |
transcript.pyannote[1533].speaker |
SPEAKER_03 |
transcript.pyannote[1533].start |
11399.38034375 |
transcript.pyannote[1533].end |
11399.68409375 |
transcript.pyannote[1534].speaker |
SPEAKER_37 |
transcript.pyannote[1534].start |
11399.68409375 |
transcript.pyannote[1534].end |
11413.42034375 |
transcript.pyannote[1535].speaker |
SPEAKER_03 |
transcript.pyannote[1535].start |
11406.80534375 |
transcript.pyannote[1535].end |
11407.27784375 |
transcript.pyannote[1536].speaker |
SPEAKER_37 |
transcript.pyannote[1536].start |
11413.57221875 |
transcript.pyannote[1536].end |
11413.60596875 |
transcript.pyannote[1537].speaker |
SPEAKER_59 |
transcript.pyannote[1537].start |
11413.60596875 |
transcript.pyannote[1537].end |
11413.62284375 |
transcript.pyannote[1538].speaker |
SPEAKER_37 |
transcript.pyannote[1538].start |
11413.62284375 |
transcript.pyannote[1538].end |
11413.63971875 |
transcript.pyannote[1539].speaker |
SPEAKER_59 |
transcript.pyannote[1539].start |
11413.63971875 |
transcript.pyannote[1539].end |
11413.67346875 |
transcript.pyannote[1540].speaker |
SPEAKER_37 |
transcript.pyannote[1540].start |
11413.67346875 |
transcript.pyannote[1540].end |
11441.23034375 |
transcript.pyannote[1541].speaker |
SPEAKER_59 |
transcript.pyannote[1541].start |
11413.69034375 |
transcript.pyannote[1541].end |
11414.43284375 |
transcript.pyannote[1542].speaker |
SPEAKER_03 |
transcript.pyannote[1542].start |
11431.13909375 |
transcript.pyannote[1542].end |
11432.18534375 |
transcript.pyannote[1543].speaker |
SPEAKER_03 |
transcript.pyannote[1543].start |
11436.47159375 |
transcript.pyannote[1543].end |
11439.96471875 |
transcript.pyannote[1544].speaker |
SPEAKER_59 |
transcript.pyannote[1544].start |
11439.96471875 |
transcript.pyannote[1544].end |
11440.03221875 |
transcript.pyannote[1545].speaker |
SPEAKER_03 |
transcript.pyannote[1545].start |
11440.03221875 |
transcript.pyannote[1545].end |
11440.50471875 |
transcript.pyannote[1546].speaker |
SPEAKER_37 |
transcript.pyannote[1546].start |
11441.88846875 |
transcript.pyannote[1546].end |
11509.35471875 |
transcript.pyannote[1547].speaker |
SPEAKER_11 |
transcript.pyannote[1547].start |
11476.81971875 |
transcript.pyannote[1547].end |
11477.27534375 |
transcript.pyannote[1548].speaker |
SPEAKER_11 |
transcript.pyannote[1548].start |
11479.38471875 |
transcript.pyannote[1548].end |
11479.46909375 |
transcript.pyannote[1549].speaker |
SPEAKER_11 |
transcript.pyannote[1549].start |
11479.48596875 |
transcript.pyannote[1549].end |
11479.60409375 |
transcript.pyannote[1550].speaker |
SPEAKER_00 |
transcript.pyannote[1550].start |
11492.73284375 |
transcript.pyannote[1550].end |
11492.83409375 |
transcript.pyannote[1551].speaker |
SPEAKER_59 |
transcript.pyannote[1551].start |
11492.83409375 |
transcript.pyannote[1551].end |
11492.96909375 |
transcript.pyannote[1552].speaker |
SPEAKER_00 |
transcript.pyannote[1552].start |
11492.96909375 |
transcript.pyannote[1552].end |
11493.07034375 |
transcript.pyannote[1553].speaker |
SPEAKER_00 |
transcript.pyannote[1553].start |
11493.66096875 |
transcript.pyannote[1553].end |
11494.04909375 |
transcript.pyannote[1554].speaker |
SPEAKER_59 |
transcript.pyannote[1554].start |
11494.04909375 |
transcript.pyannote[1554].end |
11494.06596875 |
transcript.pyannote[1555].speaker |
SPEAKER_00 |
transcript.pyannote[1555].start |
11494.06596875 |
transcript.pyannote[1555].end |
11494.08284375 |
transcript.pyannote[1556].speaker |
SPEAKER_59 |
transcript.pyannote[1556].start |
11494.08284375 |
transcript.pyannote[1556].end |
11494.15034375 |
transcript.pyannote[1557].speaker |
SPEAKER_00 |
transcript.pyannote[1557].start |
11494.15034375 |
transcript.pyannote[1557].end |
11494.36971875 |
transcript.pyannote[1558].speaker |
SPEAKER_00 |
transcript.pyannote[1558].start |
11497.77846875 |
transcript.pyannote[1558].end |
11497.84596875 |
transcript.pyannote[1559].speaker |
SPEAKER_37 |
transcript.pyannote[1559].start |
11509.91159375 |
transcript.pyannote[1559].end |
11552.11596875 |
transcript.pyannote[1560].speaker |
SPEAKER_58 |
transcript.pyannote[1560].start |
11529.04784375 |
transcript.pyannote[1560].end |
11529.73971875 |
transcript.pyannote[1561].speaker |
SPEAKER_33 |
transcript.pyannote[1561].start |
11545.06221875 |
transcript.pyannote[1561].end |
11545.31534375 |
transcript.pyannote[1562].speaker |
SPEAKER_17 |
transcript.pyannote[1562].start |
11545.31534375 |
transcript.pyannote[1562].end |
11545.97346875 |
transcript.pyannote[1563].speaker |
SPEAKER_33 |
transcript.pyannote[1563].start |
11545.97346875 |
transcript.pyannote[1563].end |
11548.67346875 |
transcript.pyannote[1564].speaker |
SPEAKER_00 |
transcript.pyannote[1564].start |
11549.90534375 |
transcript.pyannote[1564].end |
11549.93909375 |
transcript.pyannote[1565].speaker |
SPEAKER_33 |
transcript.pyannote[1565].start |
11549.93909375 |
transcript.pyannote[1565].end |
11550.10784375 |
transcript.pyannote[1566].speaker |
SPEAKER_43 |
transcript.pyannote[1566].start |
11550.10784375 |
transcript.pyannote[1566].end |
11550.56346875 |
transcript.pyannote[1567].speaker |
SPEAKER_33 |
transcript.pyannote[1567].start |
11550.56346875 |
transcript.pyannote[1567].end |
11550.59721875 |
transcript.pyannote[1568].speaker |
SPEAKER_43 |
transcript.pyannote[1568].start |
11551.62659375 |
transcript.pyannote[1568].end |
11555.62596875 |
transcript.pyannote[1569].speaker |
SPEAKER_62 |
transcript.pyannote[1569].start |
11562.12284375 |
transcript.pyannote[1569].end |
11566.59471875 |
transcript.pyannote[1570].speaker |
SPEAKER_62 |
transcript.pyannote[1570].start |
11566.93221875 |
transcript.pyannote[1570].end |
11569.81784375 |
transcript.pyannote[1571].speaker |
SPEAKER_62 |
transcript.pyannote[1571].start |
11569.90221875 |
transcript.pyannote[1571].end |
11572.06221875 |
transcript.pyannote[1572].speaker |
SPEAKER_42 |
transcript.pyannote[1572].start |
11572.16346875 |
transcript.pyannote[1572].end |
11574.66096875 |
transcript.pyannote[1573].speaker |
SPEAKER_62 |
transcript.pyannote[1573].start |
11573.64846875 |
transcript.pyannote[1573].end |
11575.60596875 |
transcript.pyannote[1574].speaker |
SPEAKER_42 |
transcript.pyannote[1574].start |
11575.70721875 |
transcript.pyannote[1574].end |
11576.97284375 |
transcript.pyannote[1575].speaker |
SPEAKER_42 |
transcript.pyannote[1575].start |
11577.12471875 |
transcript.pyannote[1575].end |
11577.19221875 |
transcript.pyannote[1576].speaker |
SPEAKER_42 |
transcript.pyannote[1576].start |
11578.44096875 |
transcript.pyannote[1576].end |
11579.25096875 |
transcript.pyannote[1577].speaker |
SPEAKER_62 |
transcript.pyannote[1577].start |
11580.29721875 |
transcript.pyannote[1577].end |
11581.76534375 |
transcript.pyannote[1578].speaker |
SPEAKER_62 |
transcript.pyannote[1578].start |
11582.18721875 |
transcript.pyannote[1578].end |
11586.37221875 |
transcript.pyannote[1579].speaker |
SPEAKER_42 |
transcript.pyannote[1579].start |
11587.21596875 |
transcript.pyannote[1579].end |
11588.32971875 |
transcript.pyannote[1580].speaker |
SPEAKER_62 |
transcript.pyannote[1580].start |
11589.35909375 |
transcript.pyannote[1580].end |
11590.43909375 |
transcript.pyannote[1581].speaker |
SPEAKER_62 |
transcript.pyannote[1581].start |
11590.64159375 |
transcript.pyannote[1581].end |
11591.24909375 |
transcript.pyannote[1582].speaker |
SPEAKER_62 |
transcript.pyannote[1582].start |
11593.47659375 |
transcript.pyannote[1582].end |
11595.82221875 |
transcript.pyannote[1583].speaker |
SPEAKER_38 |
transcript.pyannote[1583].start |
11595.21471875 |
transcript.pyannote[1583].end |
11595.72096875 |
transcript.pyannote[1584].speaker |
SPEAKER_62 |
transcript.pyannote[1584].start |
11596.54784375 |
transcript.pyannote[1584].end |
11597.62784375 |
transcript.pyannote[1585].speaker |
SPEAKER_38 |
transcript.pyannote[1585].start |
11597.91471875 |
transcript.pyannote[1585].end |
11599.80471875 |
transcript.pyannote[1586].speaker |
SPEAKER_62 |
transcript.pyannote[1586].start |
11598.72471875 |
transcript.pyannote[1586].end |
11600.78346875 |
transcript.pyannote[1587].speaker |
SPEAKER_38 |
transcript.pyannote[1587].start |
11600.34471875 |
transcript.pyannote[1587].end |
11600.86784375 |
transcript.pyannote[1588].speaker |
SPEAKER_38 |
transcript.pyannote[1588].start |
11601.22221875 |
transcript.pyannote[1588].end |
11604.68159375 |
transcript.pyannote[1589].speaker |
SPEAKER_62 |
transcript.pyannote[1589].start |
11601.99846875 |
transcript.pyannote[1589].end |
11603.34846875 |
transcript.pyannote[1590].speaker |
SPEAKER_62 |
transcript.pyannote[1590].start |
11604.15846875 |
transcript.pyannote[1590].end |
11604.73221875 |
transcript.pyannote[1591].speaker |
SPEAKER_62 |
transcript.pyannote[1591].start |
11604.95159375 |
transcript.pyannote[1591].end |
11606.04846875 |
transcript.pyannote[1592].speaker |
SPEAKER_62 |
transcript.pyannote[1592].start |
11606.57159375 |
transcript.pyannote[1592].end |
11613.05159375 |
transcript.pyannote[1593].speaker |
SPEAKER_38 |
transcript.pyannote[1593].start |
11607.36471875 |
transcript.pyannote[1593].end |
11608.79909375 |
transcript.pyannote[1594].speaker |
SPEAKER_59 |
transcript.pyannote[1594].start |
11608.79909375 |
transcript.pyannote[1594].end |
11608.81596875 |
transcript.pyannote[1595].speaker |
SPEAKER_62 |
transcript.pyannote[1595].start |
11613.33846875 |
transcript.pyannote[1595].end |
11649.07971875 |
transcript.pyannote[1596].speaker |
SPEAKER_58 |
transcript.pyannote[1596].start |
11633.13284375 |
transcript.pyannote[1596].end |
11633.57159375 |
transcript.pyannote[1597].speaker |
SPEAKER_58 |
transcript.pyannote[1597].start |
11634.44909375 |
transcript.pyannote[1597].end |
11634.90471875 |
transcript.pyannote[1598].speaker |
SPEAKER_62 |
transcript.pyannote[1598].start |
11649.82221875 |
transcript.pyannote[1598].end |
11651.18909375 |
transcript.pyannote[1599].speaker |
SPEAKER_62 |
transcript.pyannote[1599].start |
11651.79659375 |
transcript.pyannote[1599].end |
11652.84284375 |
transcript.pyannote[1600].speaker |
SPEAKER_47 |
transcript.pyannote[1600].start |
11653.83846875 |
transcript.pyannote[1600].end |
11654.64846875 |
transcript.pyannote[1601].speaker |
SPEAKER_62 |
transcript.pyannote[1601].start |
11654.31096875 |
transcript.pyannote[1601].end |
11690.30534375 |
transcript.pyannote[1602].speaker |
SPEAKER_62 |
transcript.pyannote[1602].start |
11690.76096875 |
transcript.pyannote[1602].end |
11691.68909375 |
transcript.pyannote[1603].speaker |
SPEAKER_62 |
transcript.pyannote[1603].start |
11692.43159375 |
transcript.pyannote[1603].end |
11693.56221875 |
transcript.pyannote[1604].speaker |
SPEAKER_47 |
transcript.pyannote[1604].start |
11695.33409375 |
transcript.pyannote[1604].end |
11705.30721875 |
transcript.pyannote[1605].speaker |
SPEAKER_13 |
transcript.pyannote[1605].start |
11703.06284375 |
transcript.pyannote[1605].end |
11705.98221875 |
transcript.pyannote[1606].speaker |
SPEAKER_47 |
transcript.pyannote[1606].start |
11705.98221875 |
transcript.pyannote[1606].end |
11726.48534375 |
transcript.pyannote[1607].speaker |
SPEAKER_13 |
transcript.pyannote[1607].start |
11706.01596875 |
transcript.pyannote[1607].end |
11708.24346875 |
transcript.pyannote[1608].speaker |
SPEAKER_59 |
transcript.pyannote[1608].start |
11715.29721875 |
transcript.pyannote[1608].end |
11717.03534375 |
transcript.pyannote[1609].speaker |
SPEAKER_62 |
transcript.pyannote[1609].start |
11717.03534375 |
transcript.pyannote[1609].end |
11721.11909375 |
transcript.pyannote[1610].speaker |
SPEAKER_62 |
transcript.pyannote[1610].start |
11723.29596875 |
transcript.pyannote[1610].end |
11732.17221875 |
transcript.pyannote[1611].speaker |
SPEAKER_47 |
transcript.pyannote[1611].start |
11727.17721875 |
transcript.pyannote[1611].end |
11727.78471875 |
transcript.pyannote[1612].speaker |
SPEAKER_50 |
transcript.pyannote[1612].start |
11727.78471875 |
transcript.pyannote[1612].end |
11727.80159375 |
transcript.pyannote[1613].speaker |
SPEAKER_47 |
transcript.pyannote[1613].start |
11730.13034375 |
transcript.pyannote[1613].end |
11731.04159375 |
transcript.pyannote[1614].speaker |
SPEAKER_50 |
transcript.pyannote[1614].start |
11731.04159375 |
transcript.pyannote[1614].end |
11731.21034375 |
transcript.pyannote[1615].speaker |
SPEAKER_05 |
transcript.pyannote[1615].start |
11732.94846875 |
transcript.pyannote[1615].end |
11733.21846875 |
transcript.pyannote[1616].speaker |
SPEAKER_62 |
transcript.pyannote[1616].start |
11733.43784375 |
transcript.pyannote[1616].end |
11736.77909375 |
transcript.pyannote[1617].speaker |
SPEAKER_47 |
transcript.pyannote[1617].start |
11735.81721875 |
transcript.pyannote[1617].end |
11739.37784375 |
transcript.pyannote[1618].speaker |
SPEAKER_62 |
transcript.pyannote[1618].start |
11737.87596875 |
transcript.pyannote[1618].end |
11748.49034375 |
transcript.pyannote[1619].speaker |
SPEAKER_47 |
transcript.pyannote[1619].start |
11742.04409375 |
transcript.pyannote[1619].end |
11742.65159375 |
transcript.pyannote[1620].speaker |
SPEAKER_47 |
transcript.pyannote[1620].start |
11747.93346875 |
transcript.pyannote[1620].end |
11753.55284375 |
transcript.pyannote[1621].speaker |
SPEAKER_62 |
transcript.pyannote[1621].start |
11751.30846875 |
transcript.pyannote[1621].end |
11758.42971875 |
transcript.pyannote[1622].speaker |
SPEAKER_47 |
transcript.pyannote[1622].start |
11754.85221875 |
transcript.pyannote[1622].end |
11756.52284375 |
transcript.pyannote[1623].speaker |
SPEAKER_59 |
transcript.pyannote[1623].start |
11756.52284375 |
transcript.pyannote[1623].end |
11756.62409375 |
transcript.pyannote[1624].speaker |
SPEAKER_47 |
transcript.pyannote[1624].start |
11757.72096875 |
transcript.pyannote[1624].end |
11757.73784375 |
transcript.pyannote[1625].speaker |
SPEAKER_59 |
transcript.pyannote[1625].start |
11757.73784375 |
transcript.pyannote[1625].end |
11758.61534375 |
transcript.pyannote[1626].speaker |
SPEAKER_62 |
transcript.pyannote[1626].start |
11758.49721875 |
transcript.pyannote[1626].end |
11769.16221875 |
transcript.pyannote[1627].speaker |
SPEAKER_59 |
transcript.pyannote[1627].start |
11759.98221875 |
transcript.pyannote[1627].end |
11760.55596875 |
transcript.pyannote[1628].speaker |
SPEAKER_62 |
transcript.pyannote[1628].start |
11769.63471875 |
transcript.pyannote[1628].end |
11783.52284375 |
transcript.pyannote[1629].speaker |
SPEAKER_62 |
transcript.pyannote[1629].start |
11783.86034375 |
transcript.pyannote[1629].end |
11784.18096875 |
transcript.pyannote[1630].speaker |
SPEAKER_62 |
transcript.pyannote[1630].start |
11784.67034375 |
transcript.pyannote[1630].end |
11786.34096875 |
transcript.pyannote[1631].speaker |
SPEAKER_62 |
transcript.pyannote[1631].start |
11786.94846875 |
transcript.pyannote[1631].end |
11787.60659375 |
transcript.pyannote[1632].speaker |
SPEAKER_62 |
transcript.pyannote[1632].start |
11787.80909375 |
transcript.pyannote[1632].end |
11790.32346875 |
transcript.pyannote[1633].speaker |
SPEAKER_48 |
transcript.pyannote[1633].start |
11790.72846875 |
transcript.pyannote[1633].end |
11798.01846875 |
transcript.pyannote[1634].speaker |
SPEAKER_37 |
transcript.pyannote[1634].start |
11794.35659375 |
transcript.pyannote[1634].end |
11794.37346875 |
transcript.pyannote[1635].speaker |
SPEAKER_62 |
transcript.pyannote[1635].start |
11794.37346875 |
transcript.pyannote[1635].end |
11794.59284375 |
transcript.pyannote[1636].speaker |
SPEAKER_37 |
transcript.pyannote[1636].start |
11794.59284375 |
transcript.pyannote[1636].end |
11794.66034375 |
transcript.pyannote[1637].speaker |
SPEAKER_37 |
transcript.pyannote[1637].start |
11797.03971875 |
transcript.pyannote[1637].end |
11801.54534375 |
transcript.pyannote[1638].speaker |
SPEAKER_37 |
transcript.pyannote[1638].start |
11801.56221875 |
transcript.pyannote[1638].end |
11801.59596875 |
transcript.pyannote[1639].speaker |
SPEAKER_48 |
transcript.pyannote[1639].start |
11801.59596875 |
transcript.pyannote[1639].end |
11806.11846875 |
transcript.pyannote[1640].speaker |
SPEAKER_62 |
transcript.pyannote[1640].start |
11804.90346875 |
transcript.pyannote[1640].end |
11807.80596875 |
transcript.pyannote[1641].speaker |
SPEAKER_48 |
transcript.pyannote[1641].start |
11807.14784375 |
transcript.pyannote[1641].end |
11809.22346875 |
transcript.pyannote[1642].speaker |
SPEAKER_62 |
transcript.pyannote[1642].start |
11808.63284375 |
transcript.pyannote[1642].end |
11810.03346875 |
transcript.pyannote[1643].speaker |
SPEAKER_62 |
transcript.pyannote[1643].start |
11810.64096875 |
transcript.pyannote[1643].end |
11828.07284375 |
transcript.pyannote[1644].speaker |
SPEAKER_01 |
transcript.pyannote[1644].start |
11817.52596875 |
transcript.pyannote[1644].end |
11817.94784375 |
transcript.pyannote[1645].speaker |
SPEAKER_01 |
transcript.pyannote[1645].start |
11820.83346875 |
transcript.pyannote[1645].end |
11821.06971875 |
transcript.pyannote[1646].speaker |
SPEAKER_48 |
transcript.pyannote[1646].start |
11828.66346875 |
transcript.pyannote[1646].end |
11834.48534375 |
transcript.pyannote[1647].speaker |
SPEAKER_62 |
transcript.pyannote[1647].start |
11828.68034375 |
transcript.pyannote[1647].end |
11829.49034375 |
transcript.pyannote[1648].speaker |
SPEAKER_05 |
transcript.pyannote[1648].start |
11829.49034375 |
transcript.pyannote[1648].end |
11829.55784375 |
transcript.pyannote[1649].speaker |
SPEAKER_62 |
transcript.pyannote[1649].start |
11832.73034375 |
transcript.pyannote[1649].end |
11832.96659375 |
transcript.pyannote[1650].speaker |
SPEAKER_05 |
transcript.pyannote[1650].start |
11832.96659375 |
transcript.pyannote[1650].end |
11833.32096875 |
transcript.pyannote[1651].speaker |
SPEAKER_62 |
transcript.pyannote[1651].start |
11833.32096875 |
transcript.pyannote[1651].end |
11833.33784375 |
transcript.pyannote[1652].speaker |
SPEAKER_62 |
transcript.pyannote[1652].start |
11833.45596875 |
transcript.pyannote[1652].end |
11833.52346875 |
transcript.pyannote[1653].speaker |
SPEAKER_05 |
transcript.pyannote[1653].start |
11833.52346875 |
transcript.pyannote[1653].end |
11833.55721875 |
transcript.pyannote[1654].speaker |
SPEAKER_62 |
transcript.pyannote[1654].start |
11833.55721875 |
transcript.pyannote[1654].end |
11833.57409375 |
transcript.pyannote[1655].speaker |
SPEAKER_05 |
transcript.pyannote[1655].start |
11833.57409375 |
transcript.pyannote[1655].end |
11833.65846875 |
transcript.pyannote[1656].speaker |
SPEAKER_62 |
transcript.pyannote[1656].start |
11833.65846875 |
transcript.pyannote[1656].end |
11833.96221875 |
transcript.pyannote[1657].speaker |
SPEAKER_05 |
transcript.pyannote[1657].start |
11833.96221875 |
transcript.pyannote[1657].end |
11834.02971875 |
transcript.pyannote[1658].speaker |
SPEAKER_62 |
transcript.pyannote[1658].start |
11834.02971875 |
transcript.pyannote[1658].end |
11834.97471875 |
transcript.pyannote[1659].speaker |
SPEAKER_05 |
transcript.pyannote[1659].start |
11834.97471875 |
transcript.pyannote[1659].end |
11834.99159375 |
transcript.pyannote[1660].speaker |
SPEAKER_62 |
transcript.pyannote[1660].start |
11834.99159375 |
transcript.pyannote[1660].end |
11836.17284375 |
transcript.pyannote[1661].speaker |
SPEAKER_05 |
transcript.pyannote[1661].start |
11836.17284375 |
transcript.pyannote[1661].end |
11836.18971875 |
transcript.pyannote[1662].speaker |
SPEAKER_48 |
transcript.pyannote[1662].start |
11836.45971875 |
transcript.pyannote[1662].end |
11838.33284375 |
transcript.pyannote[1663].speaker |
SPEAKER_62 |
transcript.pyannote[1663].start |
11837.64096875 |
transcript.pyannote[1663].end |
11838.28221875 |
transcript.pyannote[1664].speaker |
SPEAKER_48 |
transcript.pyannote[1664].start |
11838.77159375 |
transcript.pyannote[1664].end |
11840.00346875 |
transcript.pyannote[1665].speaker |
SPEAKER_62 |
transcript.pyannote[1665].start |
11839.95284375 |
transcript.pyannote[1665].end |
11843.46284375 |
transcript.pyannote[1666].speaker |
SPEAKER_62 |
transcript.pyannote[1666].start |
11843.73284375 |
transcript.pyannote[1666].end |
11846.61846875 |
transcript.pyannote[1667].speaker |
SPEAKER_48 |
transcript.pyannote[1667].start |
11847.52971875 |
transcript.pyannote[1667].end |
11852.52471875 |
transcript.pyannote[1668].speaker |
SPEAKER_62 |
transcript.pyannote[1668].start |
11850.68534375 |
transcript.pyannote[1668].end |
11852.03534375 |
transcript.pyannote[1669].speaker |
SPEAKER_37 |
transcript.pyannote[1669].start |
11852.03534375 |
transcript.pyannote[1669].end |
11856.15284375 |
transcript.pyannote[1670].speaker |
SPEAKER_62 |
transcript.pyannote[1670].start |
11852.52471875 |
transcript.pyannote[1670].end |
11852.54159375 |
transcript.pyannote[1671].speaker |
SPEAKER_48 |
transcript.pyannote[1671].start |
11853.48659375 |
transcript.pyannote[1671].end |
11855.12346875 |
transcript.pyannote[1672].speaker |
SPEAKER_44 |
transcript.pyannote[1672].start |
11856.15284375 |
transcript.pyannote[1672].end |
11856.43971875 |
transcript.pyannote[1673].speaker |
SPEAKER_37 |
transcript.pyannote[1673].start |
11856.97971875 |
transcript.pyannote[1673].end |
11877.02721875 |
transcript.pyannote[1674].speaker |
SPEAKER_62 |
transcript.pyannote[1674].start |
11877.02721875 |
transcript.pyannote[1674].end |
11880.99284375 |
transcript.pyannote[1675].speaker |
SPEAKER_46 |
transcript.pyannote[1675].start |
11881.44846875 |
transcript.pyannote[1675].end |
11883.05159375 |
transcript.pyannote[1676].speaker |
SPEAKER_62 |
transcript.pyannote[1676].start |
11882.51159375 |
transcript.pyannote[1676].end |
11897.53034375 |
transcript.pyannote[1677].speaker |
SPEAKER_46 |
transcript.pyannote[1677].start |
11892.63659375 |
transcript.pyannote[1677].end |
11892.70409375 |
transcript.pyannote[1678].speaker |
SPEAKER_03 |
transcript.pyannote[1678].start |
11892.70409375 |
transcript.pyannote[1678].end |
11893.19346875 |
transcript.pyannote[1679].speaker |
SPEAKER_46 |
transcript.pyannote[1679].start |
11893.19346875 |
transcript.pyannote[1679].end |
11893.26096875 |
transcript.pyannote[1680].speaker |
SPEAKER_03 |
transcript.pyannote[1680].start |
11893.26096875 |
transcript.pyannote[1680].end |
11893.29471875 |
transcript.pyannote[1681].speaker |
SPEAKER_46 |
transcript.pyannote[1681].start |
11893.29471875 |
transcript.pyannote[1681].end |
11893.32846875 |
transcript.pyannote[1682].speaker |
SPEAKER_46 |
transcript.pyannote[1682].start |
11897.66534375 |
transcript.pyannote[1682].end |
11909.46096875 |
transcript.pyannote[1683].speaker |
SPEAKER_62 |
transcript.pyannote[1683].start |
11904.60096875 |
transcript.pyannote[1683].end |
11905.44471875 |
transcript.pyannote[1684].speaker |
SPEAKER_62 |
transcript.pyannote[1684].start |
11906.98034375 |
transcript.pyannote[1684].end |
11916.66659375 |
transcript.pyannote[1685].speaker |
SPEAKER_62 |
transcript.pyannote[1685].start |
11916.75096875 |
transcript.pyannote[1685].end |
11917.22346875 |
transcript.pyannote[1686].speaker |
SPEAKER_46 |
transcript.pyannote[1686].start |
11917.35846875 |
transcript.pyannote[1686].end |
11922.94409375 |
transcript.pyannote[1687].speaker |
SPEAKER_62 |
transcript.pyannote[1687].start |
11921.34096875 |
transcript.pyannote[1687].end |
11926.21784375 |
transcript.pyannote[1688].speaker |
SPEAKER_62 |
transcript.pyannote[1688].start |
11926.43721875 |
transcript.pyannote[1688].end |
11930.43659375 |
transcript.pyannote[1689].speaker |
SPEAKER_46 |
transcript.pyannote[1689].start |
11931.21284375 |
transcript.pyannote[1689].end |
11935.90409375 |
transcript.pyannote[1690].speaker |
SPEAKER_62 |
transcript.pyannote[1690].start |
11934.35159375 |
transcript.pyannote[1690].end |
11934.36846875 |
transcript.pyannote[1691].speaker |
SPEAKER_62 |
transcript.pyannote[1691].start |
11935.90409375 |
transcript.pyannote[1691].end |
11935.92096875 |
transcript.pyannote[1692].speaker |
SPEAKER_46 |
transcript.pyannote[1692].start |
11935.92096875 |
transcript.pyannote[1692].end |
11935.95471875 |
transcript.pyannote[1693].speaker |
SPEAKER_62 |
transcript.pyannote[1693].start |
11935.95471875 |
transcript.pyannote[1693].end |
11935.97159375 |
transcript.pyannote[1694].speaker |
SPEAKER_46 |
transcript.pyannote[1694].start |
11935.97159375 |
transcript.pyannote[1694].end |
11936.03909375 |
transcript.pyannote[1695].speaker |
SPEAKER_62 |
transcript.pyannote[1695].start |
11936.03909375 |
transcript.pyannote[1695].end |
11936.88284375 |
transcript.pyannote[1696].speaker |
SPEAKER_46 |
transcript.pyannote[1696].start |
11936.88284375 |
transcript.pyannote[1696].end |
11936.89971875 |
transcript.pyannote[1697].speaker |
SPEAKER_62 |
transcript.pyannote[1697].start |
11936.89971875 |
transcript.pyannote[1697].end |
11936.91659375 |
transcript.pyannote[1698].speaker |
SPEAKER_46 |
transcript.pyannote[1698].start |
11936.91659375 |
transcript.pyannote[1698].end |
11944.22346875 |
transcript.pyannote[1699].speaker |
SPEAKER_62 |
transcript.pyannote[1699].start |
11937.82784375 |
transcript.pyannote[1699].end |
11940.24096875 |
transcript.pyannote[1700].speaker |
SPEAKER_62 |
transcript.pyannote[1700].start |
11942.73846875 |
transcript.pyannote[1700].end |
11946.60284375 |
transcript.pyannote[1701].speaker |
SPEAKER_62 |
transcript.pyannote[1701].start |
11947.63221875 |
transcript.pyannote[1701].end |
11949.42096875 |
transcript.pyannote[1702].speaker |
SPEAKER_46 |
transcript.pyannote[1702].start |
11949.42096875 |
transcript.pyannote[1702].end |
11956.23846875 |
transcript.pyannote[1703].speaker |
SPEAKER_62 |
transcript.pyannote[1703].start |
11949.72471875 |
transcript.pyannote[1703].end |
11951.95221875 |
transcript.pyannote[1704].speaker |
SPEAKER_62 |
transcript.pyannote[1704].start |
11953.16721875 |
transcript.pyannote[1704].end |
11959.63034375 |
transcript.pyannote[1705].speaker |
SPEAKER_46 |
transcript.pyannote[1705].start |
11959.22534375 |
transcript.pyannote[1705].end |
11973.04596875 |
transcript.pyannote[1706].speaker |
SPEAKER_62 |
transcript.pyannote[1706].start |
11960.71034375 |
transcript.pyannote[1706].end |
11961.77346875 |
transcript.pyannote[1707].speaker |
SPEAKER_62 |
transcript.pyannote[1707].start |
11965.82346875 |
transcript.pyannote[1707].end |
11967.39284375 |
transcript.pyannote[1708].speaker |
SPEAKER_62 |
transcript.pyannote[1708].start |
11970.66659375 |
transcript.pyannote[1708].end |
11972.60721875 |
transcript.pyannote[1709].speaker |
SPEAKER_46 |
transcript.pyannote[1709].start |
11973.56909375 |
transcript.pyannote[1709].end |
11977.51784375 |
transcript.pyannote[1710].speaker |
SPEAKER_62 |
transcript.pyannote[1710].start |
11976.28596875 |
transcript.pyannote[1710].end |
11979.66096875 |
transcript.pyannote[1711].speaker |
SPEAKER_62 |
transcript.pyannote[1711].start |
11980.33596875 |
transcript.pyannote[1711].end |
11980.94346875 |
transcript.pyannote[1712].speaker |
SPEAKER_62 |
transcript.pyannote[1712].start |
11981.53409375 |
transcript.pyannote[1712].end |
11983.05284375 |
transcript.pyannote[1713].speaker |
SPEAKER_46 |
transcript.pyannote[1713].start |
11981.68596875 |
transcript.pyannote[1713].end |
11986.07346875 |
transcript.pyannote[1714].speaker |
SPEAKER_62 |
transcript.pyannote[1714].start |
11984.18346875 |
transcript.pyannote[1714].end |
11985.01034375 |
transcript.pyannote[1715].speaker |
SPEAKER_62 |
transcript.pyannote[1715].start |
11985.41534375 |
transcript.pyannote[1715].end |
11985.97221875 |
transcript.pyannote[1716].speaker |
SPEAKER_21 |
transcript.pyannote[1716].start |
11985.97221875 |
transcript.pyannote[1716].end |
11987.45721875 |
transcript.pyannote[1717].speaker |
SPEAKER_43 |
transcript.pyannote[1717].start |
11987.69346875 |
transcript.pyannote[1717].end |
12006.20534375 |
transcript.pyannote[1718].speaker |
SPEAKER_26 |
transcript.pyannote[1718].start |
12016.06034375 |
transcript.pyannote[1718].end |
12017.49471875 |
transcript.pyannote[1719].speaker |
SPEAKER_43 |
transcript.pyannote[1719].start |
12017.49471875 |
transcript.pyannote[1719].end |
12017.51159375 |
transcript.pyannote[1720].speaker |
SPEAKER_26 |
transcript.pyannote[1720].start |
12017.76471875 |
transcript.pyannote[1720].end |
12018.03471875 |
transcript.pyannote[1721].speaker |
SPEAKER_43 |
transcript.pyannote[1721].start |
12018.03471875 |
transcript.pyannote[1721].end |
12018.81096875 |
transcript.pyannote[1722].speaker |
SPEAKER_26 |
transcript.pyannote[1722].start |
12019.70534375 |
transcript.pyannote[1722].end |
12019.72221875 |
transcript.pyannote[1723].speaker |
SPEAKER_43 |
transcript.pyannote[1723].start |
12019.72221875 |
transcript.pyannote[1723].end |
12020.61659375 |
transcript.pyannote[1724].speaker |
SPEAKER_43 |
transcript.pyannote[1724].start |
12021.03846875 |
transcript.pyannote[1724].end |
12021.47721875 |
transcript.pyannote[1725].speaker |
SPEAKER_43 |
transcript.pyannote[1725].start |
12022.87784375 |
transcript.pyannote[1725].end |
12023.75534375 |
transcript.pyannote[1726].speaker |
SPEAKER_26 |
transcript.pyannote[1726].start |
12026.01659375 |
transcript.pyannote[1726].end |
12029.10471875 |
transcript.pyannote[1727].speaker |
SPEAKER_26 |
transcript.pyannote[1727].start |
12029.20596875 |
transcript.pyannote[1727].end |
12049.94534375 |
transcript.pyannote[1728].speaker |
SPEAKER_26 |
transcript.pyannote[1728].start |
12050.24909375 |
transcript.pyannote[1728].end |
12050.78909375 |
transcript.pyannote[1729].speaker |
SPEAKER_26 |
transcript.pyannote[1729].start |
12050.97471875 |
transcript.pyannote[1729].end |
12103.37159375 |
transcript.pyannote[1730].speaker |
SPEAKER_26 |
transcript.pyannote[1730].start |
12103.75971875 |
transcript.pyannote[1730].end |
12104.29971875 |
transcript.pyannote[1731].speaker |
SPEAKER_26 |
transcript.pyannote[1731].start |
12106.40909375 |
transcript.pyannote[1731].end |
12106.42596875 |
transcript.pyannote[1732].speaker |
SPEAKER_47 |
transcript.pyannote[1732].start |
12106.42596875 |
transcript.pyannote[1732].end |
12129.76409375 |
transcript.pyannote[1733].speaker |
SPEAKER_47 |
transcript.pyannote[1733].start |
12129.96659375 |
transcript.pyannote[1733].end |
12145.10346875 |
transcript.pyannote[1734].speaker |
SPEAKER_26 |
transcript.pyannote[1734].start |
12145.10346875 |
transcript.pyannote[1734].end |
12145.13721875 |
transcript.pyannote[1735].speaker |
SPEAKER_47 |
transcript.pyannote[1735].start |
12145.96409375 |
transcript.pyannote[1735].end |
12146.35221875 |
transcript.pyannote[1736].speaker |
SPEAKER_26 |
transcript.pyannote[1736].start |
12146.35221875 |
transcript.pyannote[1736].end |
12146.40284375 |
transcript.pyannote[1737].speaker |
SPEAKER_47 |
transcript.pyannote[1737].start |
12146.40284375 |
transcript.pyannote[1737].end |
12146.87534375 |
transcript.pyannote[1738].speaker |
SPEAKER_26 |
transcript.pyannote[1738].start |
12146.87534375 |
transcript.pyannote[1738].end |
12146.94284375 |
transcript.pyannote[1739].speaker |
SPEAKER_26 |
transcript.pyannote[1739].start |
12147.95534375 |
transcript.pyannote[1739].end |
12160.79721875 |
transcript.pyannote[1740].speaker |
SPEAKER_47 |
transcript.pyannote[1740].start |
12160.79721875 |
transcript.pyannote[1740].end |
12178.68471875 |
transcript.pyannote[1741].speaker |
SPEAKER_41 |
transcript.pyannote[1741].start |
12169.77471875 |
transcript.pyannote[1741].end |
12170.06159375 |
transcript.pyannote[1742].speaker |
SPEAKER_47 |
transcript.pyannote[1742].start |
12179.07284375 |
transcript.pyannote[1742].end |
12179.96721875 |
transcript.pyannote[1743].speaker |
SPEAKER_26 |
transcript.pyannote[1743].start |
12179.96721875 |
transcript.pyannote[1743].end |
12179.98409375 |
transcript.pyannote[1744].speaker |
SPEAKER_47 |
transcript.pyannote[1744].start |
12179.98409375 |
transcript.pyannote[1744].end |
12180.10221875 |
transcript.pyannote[1745].speaker |
SPEAKER_26 |
transcript.pyannote[1745].start |
12180.10221875 |
transcript.pyannote[1745].end |
12180.64221875 |
transcript.pyannote[1746].speaker |
SPEAKER_47 |
transcript.pyannote[1746].start |
12180.64221875 |
transcript.pyannote[1746].end |
12180.70971875 |
transcript.pyannote[1747].speaker |
SPEAKER_26 |
transcript.pyannote[1747].start |
12181.03034375 |
transcript.pyannote[1747].end |
12183.30846875 |
transcript.pyannote[1748].speaker |
SPEAKER_26 |
transcript.pyannote[1748].start |
12184.10159375 |
transcript.pyannote[1748].end |
12186.26159375 |
transcript.pyannote[1749].speaker |
SPEAKER_44 |
transcript.pyannote[1749].start |
12186.26159375 |
transcript.pyannote[1749].end |
12186.27846875 |
transcript.pyannote[1750].speaker |
SPEAKER_44 |
transcript.pyannote[1750].start |
12186.39659375 |
transcript.pyannote[1750].end |
12186.41346875 |
transcript.pyannote[1751].speaker |
SPEAKER_59 |
transcript.pyannote[1751].start |
12186.43034375 |
transcript.pyannote[1751].end |
12186.61596875 |
transcript.pyannote[1752].speaker |
SPEAKER_26 |
transcript.pyannote[1752].start |
12193.72034375 |
transcript.pyannote[1752].end |
12245.98221875 |
transcript.pyannote[1753].speaker |
SPEAKER_48 |
transcript.pyannote[1753].start |
12247.02846875 |
transcript.pyannote[1753].end |
12266.97471875 |
transcript.pyannote[1754].speaker |
SPEAKER_26 |
transcript.pyannote[1754].start |
12266.97471875 |
transcript.pyannote[1754].end |
12309.28034375 |
transcript.pyannote[1755].speaker |
SPEAKER_48 |
transcript.pyannote[1755].start |
12269.03346875 |
transcript.pyannote[1755].end |
12269.60721875 |
transcript.pyannote[1756].speaker |
SPEAKER_48 |
transcript.pyannote[1756].start |
12275.27721875 |
transcript.pyannote[1756].end |
12275.37846875 |
transcript.pyannote[1757].speaker |
SPEAKER_00 |
transcript.pyannote[1757].start |
12294.95346875 |
transcript.pyannote[1757].end |
12296.48909375 |
transcript.pyannote[1758].speaker |
SPEAKER_00 |
transcript.pyannote[1758].start |
12301.77096875 |
transcript.pyannote[1758].end |
12301.95659375 |
transcript.pyannote[1759].speaker |
SPEAKER_00 |
transcript.pyannote[1759].start |
12302.15909375 |
transcript.pyannote[1759].end |
12302.36159375 |
transcript.pyannote[1760].speaker |
SPEAKER_34 |
transcript.pyannote[1760].start |
12302.36159375 |
transcript.pyannote[1760].end |
12302.68221875 |
transcript.pyannote[1761].speaker |
SPEAKER_48 |
transcript.pyannote[1761].start |
12304.11659375 |
transcript.pyannote[1761].end |
12304.13346875 |
transcript.pyannote[1762].speaker |
SPEAKER_34 |
transcript.pyannote[1762].start |
12304.13346875 |
transcript.pyannote[1762].end |
12304.16721875 |
transcript.pyannote[1763].speaker |
SPEAKER_48 |
transcript.pyannote[1763].start |
12304.16721875 |
transcript.pyannote[1763].end |
12304.58909375 |
transcript.pyannote[1764].speaker |
SPEAKER_48 |
transcript.pyannote[1764].start |
12309.56721875 |
transcript.pyannote[1764].end |
12316.72221875 |
transcript.pyannote[1765].speaker |
SPEAKER_48 |
transcript.pyannote[1765].start |
12316.97534375 |
transcript.pyannote[1765].end |
12322.69596875 |
transcript.pyannote[1766].speaker |
SPEAKER_26 |
transcript.pyannote[1766].start |
12322.56096875 |
transcript.pyannote[1766].end |
12322.66221875 |
transcript.pyannote[1767].speaker |
SPEAKER_26 |
transcript.pyannote[1767].start |
12322.69596875 |
transcript.pyannote[1767].end |
12322.99971875 |
transcript.pyannote[1768].speaker |
SPEAKER_43 |
transcript.pyannote[1768].start |
12322.99971875 |
transcript.pyannote[1768].end |
12323.05034375 |
transcript.pyannote[1769].speaker |
SPEAKER_48 |
transcript.pyannote[1769].start |
12323.05034375 |
transcript.pyannote[1769].end |
12324.02909375 |
transcript.pyannote[1770].speaker |
SPEAKER_43 |
transcript.pyannote[1770].start |
12324.02909375 |
transcript.pyannote[1770].end |
12325.19346875 |
transcript.pyannote[1771].speaker |
SPEAKER_43 |
transcript.pyannote[1771].start |
12325.88534375 |
transcript.pyannote[1771].end |
12329.27721875 |
transcript.pyannote[1772].speaker |
SPEAKER_56 |
transcript.pyannote[1772].start |
12353.00346875 |
transcript.pyannote[1772].end |
12354.74159375 |
transcript.pyannote[1773].speaker |
SPEAKER_56 |
transcript.pyannote[1773].start |
12355.72034375 |
transcript.pyannote[1773].end |
12359.38221875 |
transcript.pyannote[1774].speaker |
SPEAKER_56 |
transcript.pyannote[1774].start |
12360.81659375 |
transcript.pyannote[1774].end |
12361.15409375 |
transcript.pyannote[1775].speaker |
SPEAKER_56 |
transcript.pyannote[1775].start |
12361.39034375 |
transcript.pyannote[1775].end |
12361.87971875 |
transcript.pyannote[1776].speaker |
SPEAKER_60 |
transcript.pyannote[1776].start |
12362.13284375 |
transcript.pyannote[1776].end |
12367.07721875 |
transcript.pyannote[1777].speaker |
SPEAKER_60 |
transcript.pyannote[1777].start |
12374.29971875 |
transcript.pyannote[1777].end |
12375.24471875 |
transcript.pyannote[1778].speaker |
SPEAKER_60 |
transcript.pyannote[1778].start |
12375.37971875 |
transcript.pyannote[1778].end |
12376.67909375 |
transcript.pyannote[1779].speaker |
SPEAKER_60 |
transcript.pyannote[1779].start |
12376.72971875 |
transcript.pyannote[1779].end |
12411.82971875 |
transcript.pyannote[1780].speaker |
SPEAKER_00 |
transcript.pyannote[1780].start |
12381.31971875 |
transcript.pyannote[1780].end |
12381.52221875 |
transcript.pyannote[1781].speaker |
SPEAKER_60 |
transcript.pyannote[1781].start |
12414.02346875 |
transcript.pyannote[1781].end |
12471.16221875 |
transcript.pyannote[1782].speaker |
SPEAKER_60 |
transcript.pyannote[1782].start |
12471.39846875 |
transcript.pyannote[1782].end |
12475.60034375 |
transcript.pyannote[1783].speaker |
SPEAKER_60 |
transcript.pyannote[1783].start |
12475.83659375 |
transcript.pyannote[1783].end |
12486.50159375 |
transcript.pyannote[1784].speaker |
SPEAKER_47 |
transcript.pyannote[1784].start |
12487.21034375 |
transcript.pyannote[1784].end |
12546.44159375 |
transcript.pyannote[1785].speaker |
SPEAKER_60 |
transcript.pyannote[1785].start |
12546.44159375 |
transcript.pyannote[1785].end |
12596.61096875 |
transcript.pyannote[1786].speaker |
SPEAKER_47 |
transcript.pyannote[1786].start |
12598.50096875 |
transcript.pyannote[1786].end |
12598.80471875 |
transcript.pyannote[1787].speaker |
SPEAKER_50 |
transcript.pyannote[1787].start |
12598.80471875 |
transcript.pyannote[1787].end |
12598.82159375 |
transcript.pyannote[1788].speaker |
SPEAKER_47 |
transcript.pyannote[1788].start |
12598.82159375 |
transcript.pyannote[1788].end |
12598.85534375 |
transcript.pyannote[1789].speaker |
SPEAKER_47 |
transcript.pyannote[1789].start |
12599.91846875 |
transcript.pyannote[1789].end |
12617.90721875 |
transcript.pyannote[1790].speaker |
SPEAKER_60 |
transcript.pyannote[1790].start |
12617.90721875 |
transcript.pyannote[1790].end |
12651.72471875 |
transcript.pyannote[1791].speaker |
SPEAKER_33 |
transcript.pyannote[1791].start |
12627.59346875 |
transcript.pyannote[1791].end |
12628.25159375 |
transcript.pyannote[1792].speaker |
SPEAKER_60 |
transcript.pyannote[1792].start |
12652.26471875 |
transcript.pyannote[1792].end |
12654.40784375 |
transcript.pyannote[1793].speaker |
SPEAKER_60 |
transcript.pyannote[1793].start |
12654.72846875 |
transcript.pyannote[1793].end |
12667.18221875 |
transcript.pyannote[1794].speaker |
SPEAKER_60 |
transcript.pyannote[1794].start |
12667.82346875 |
transcript.pyannote[1794].end |
12672.48096875 |
transcript.pyannote[1795].speaker |
SPEAKER_60 |
transcript.pyannote[1795].start |
12672.58221875 |
transcript.pyannote[1795].end |
12690.08159375 |
transcript.pyannote[1796].speaker |
SPEAKER_47 |
transcript.pyannote[1796].start |
12691.49909375 |
transcript.pyannote[1796].end |
12691.51596875 |
transcript.pyannote[1797].speaker |
SPEAKER_60 |
transcript.pyannote[1797].start |
12691.51596875 |
transcript.pyannote[1797].end |
12691.53284375 |
transcript.pyannote[1798].speaker |
SPEAKER_47 |
transcript.pyannote[1798].start |
12691.53284375 |
transcript.pyannote[1798].end |
12730.02471875 |
transcript.pyannote[1799].speaker |
SPEAKER_00 |
transcript.pyannote[1799].start |
12724.18596875 |
transcript.pyannote[1799].end |
12724.25346875 |
transcript.pyannote[1800].speaker |
SPEAKER_15 |
transcript.pyannote[1800].start |
12724.25346875 |
transcript.pyannote[1800].end |
12724.64159375 |
transcript.pyannote[1801].speaker |
SPEAKER_00 |
transcript.pyannote[1801].start |
12724.64159375 |
transcript.pyannote[1801].end |
12724.75971875 |
transcript.pyannote[1802].speaker |
SPEAKER_60 |
transcript.pyannote[1802].start |
12730.02471875 |
transcript.pyannote[1802].end |
12731.42534375 |
transcript.pyannote[1803].speaker |
SPEAKER_60 |
transcript.pyannote[1803].start |
12731.57721875 |
transcript.pyannote[1803].end |
12753.75096875 |
transcript.pyannote[1804].speaker |
SPEAKER_43 |
transcript.pyannote[1804].start |
12753.75096875 |
transcript.pyannote[1804].end |
12758.25659375 |
transcript.pyannote[1805].speaker |
SPEAKER_37 |
transcript.pyannote[1805].start |
12765.91784375 |
transcript.pyannote[1805].end |
12772.29659375 |
transcript.pyannote[1806].speaker |
SPEAKER_44 |
transcript.pyannote[1806].start |
12772.85346875 |
transcript.pyannote[1806].end |
12775.87409375 |
transcript.pyannote[1807].speaker |
SPEAKER_44 |
transcript.pyannote[1807].start |
12775.97534375 |
transcript.pyannote[1807].end |
12776.02596875 |
transcript.pyannote[1808].speaker |
SPEAKER_44 |
transcript.pyannote[1808].start |
12776.05971875 |
transcript.pyannote[1808].end |
12776.81909375 |
transcript.pyannote[1809].speaker |
SPEAKER_37 |
transcript.pyannote[1809].start |
12783.90659375 |
transcript.pyannote[1809].end |
12806.78909375 |
transcript.pyannote[1810].speaker |
SPEAKER_11 |
transcript.pyannote[1810].start |
12807.75096875 |
transcript.pyannote[1810].end |
12809.72534375 |
transcript.pyannote[1811].speaker |
SPEAKER_11 |
transcript.pyannote[1811].start |
12810.58596875 |
transcript.pyannote[1811].end |
12811.04159375 |
transcript.pyannote[1812].speaker |
SPEAKER_44 |
transcript.pyannote[1812].start |
12812.32409375 |
transcript.pyannote[1812].end |
12813.84284375 |
transcript.pyannote[1813].speaker |
SPEAKER_11 |
transcript.pyannote[1813].start |
12813.58971875 |
transcript.pyannote[1813].end |
12815.34471875 |
transcript.pyannote[1814].speaker |
SPEAKER_11 |
transcript.pyannote[1814].start |
12815.66534375 |
transcript.pyannote[1814].end |
12816.22221875 |
transcript.pyannote[1815].speaker |
SPEAKER_11 |
transcript.pyannote[1815].start |
12816.57659375 |
transcript.pyannote[1815].end |
12823.34346875 |
transcript.pyannote[1816].speaker |
SPEAKER_37 |
transcript.pyannote[1816].start |
12825.50346875 |
transcript.pyannote[1816].end |
12840.10034375 |
transcript.pyannote[1817].speaker |
SPEAKER_11 |
transcript.pyannote[1817].start |
12825.57096875 |
transcript.pyannote[1817].end |
12827.14034375 |
transcript.pyannote[1818].speaker |
SPEAKER_11 |
transcript.pyannote[1818].start |
12827.56221875 |
transcript.pyannote[1818].end |
12828.13596875 |
transcript.pyannote[1819].speaker |
SPEAKER_37 |
transcript.pyannote[1819].start |
12840.89346875 |
transcript.pyannote[1819].end |
12847.59284375 |
transcript.pyannote[1820].speaker |
SPEAKER_37 |
transcript.pyannote[1820].start |
12849.16221875 |
transcript.pyannote[1820].end |
12898.45409375 |
transcript.pyannote[1821].speaker |
SPEAKER_37 |
transcript.pyannote[1821].start |
12898.97721875 |
transcript.pyannote[1821].end |
12954.46221875 |
transcript.pyannote[1822].speaker |
SPEAKER_00 |
transcript.pyannote[1822].start |
12931.84971875 |
transcript.pyannote[1822].end |
12932.37284375 |
transcript.pyannote[1823].speaker |
SPEAKER_00 |
transcript.pyannote[1823].start |
12936.00096875 |
transcript.pyannote[1823].end |
12936.57471875 |
transcript.pyannote[1824].speaker |
SPEAKER_23 |
transcript.pyannote[1824].start |
12936.57471875 |
transcript.pyannote[1824].end |
12936.82784375 |
transcript.pyannote[1825].speaker |
SPEAKER_00 |
transcript.pyannote[1825].start |
12936.82784375 |
transcript.pyannote[1825].end |
12936.89534375 |
transcript.pyannote[1826].speaker |
SPEAKER_00 |
transcript.pyannote[1826].start |
12939.61221875 |
transcript.pyannote[1826].end |
12939.62909375 |
transcript.pyannote[1827].speaker |
SPEAKER_59 |
transcript.pyannote[1827].start |
12939.62909375 |
transcript.pyannote[1827].end |
12940.21971875 |
transcript.pyannote[1828].speaker |
SPEAKER_59 |
transcript.pyannote[1828].start |
12941.14784375 |
transcript.pyannote[1828].end |
12941.68784375 |
transcript.pyannote[1829].speaker |
SPEAKER_09 |
transcript.pyannote[1829].start |
12955.13721875 |
transcript.pyannote[1829].end |
12973.68284375 |
transcript.pyannote[1830].speaker |
SPEAKER_09 |
transcript.pyannote[1830].start |
12974.69534375 |
transcript.pyannote[1830].end |
12979.08284375 |
transcript.pyannote[1831].speaker |
SPEAKER_37 |
transcript.pyannote[1831].start |
12978.99846875 |
transcript.pyannote[1831].end |
12999.04596875 |
transcript.pyannote[1832].speaker |
SPEAKER_09 |
transcript.pyannote[1832].start |
12999.38346875 |
transcript.pyannote[1832].end |
13007.55096875 |
transcript.pyannote[1833].speaker |
SPEAKER_37 |
transcript.pyannote[1833].start |
13007.70284375 |
transcript.pyannote[1833].end |
13017.89534375 |
transcript.pyannote[1834].speaker |
SPEAKER_09 |
transcript.pyannote[1834].start |
13009.94721875 |
transcript.pyannote[1834].end |
13010.74034375 |
transcript.pyannote[1835].speaker |
SPEAKER_09 |
transcript.pyannote[1835].start |
13011.16221875 |
transcript.pyannote[1835].end |
13011.71909375 |
transcript.pyannote[1836].speaker |
SPEAKER_42 |
transcript.pyannote[1836].start |
13011.71909375 |
transcript.pyannote[1836].end |
13011.73596875 |
transcript.pyannote[1837].speaker |
SPEAKER_42 |
transcript.pyannote[1837].start |
13012.56284375 |
transcript.pyannote[1837].end |
13012.57971875 |
transcript.pyannote[1838].speaker |
SPEAKER_09 |
transcript.pyannote[1838].start |
13012.57971875 |
transcript.pyannote[1838].end |
13012.90034375 |
transcript.pyannote[1839].speaker |
SPEAKER_42 |
transcript.pyannote[1839].start |
13012.90034375 |
transcript.pyannote[1839].end |
13012.91721875 |
transcript.pyannote[1840].speaker |
SPEAKER_09 |
transcript.pyannote[1840].start |
13012.91721875 |
transcript.pyannote[1840].end |
13012.93409375 |
transcript.pyannote[1841].speaker |
SPEAKER_09 |
transcript.pyannote[1841].start |
13013.82846875 |
transcript.pyannote[1841].end |
13013.86221875 |
transcript.pyannote[1842].speaker |
SPEAKER_42 |
transcript.pyannote[1842].start |
13013.86221875 |
transcript.pyannote[1842].end |
13014.77346875 |
transcript.pyannote[1843].speaker |
SPEAKER_42 |
transcript.pyannote[1843].start |
13018.43534375 |
transcript.pyannote[1843].end |
13019.43096875 |
transcript.pyannote[1844].speaker |
SPEAKER_37 |
transcript.pyannote[1844].start |
13026.85596875 |
transcript.pyannote[1844].end |
13042.43159375 |
transcript.pyannote[1845].speaker |
SPEAKER_02 |
transcript.pyannote[1845].start |
13027.05846875 |
transcript.pyannote[1845].end |
13027.49721875 |
transcript.pyannote[1846].speaker |
SPEAKER_37 |
transcript.pyannote[1846].start |
13043.03909375 |
transcript.pyannote[1846].end |
13052.92784375 |
transcript.pyannote[1847].speaker |
SPEAKER_37 |
transcript.pyannote[1847].start |
13053.24846875 |
transcript.pyannote[1847].end |
13067.27159375 |
transcript.pyannote[1848].speaker |
SPEAKER_37 |
transcript.pyannote[1848].start |
13068.50346875 |
transcript.pyannote[1848].end |
13087.40346875 |
transcript.pyannote[1849].speaker |
SPEAKER_02 |
transcript.pyannote[1849].start |
13070.88284375 |
transcript.pyannote[1849].end |
13071.15284375 |
transcript.pyannote[1850].speaker |
SPEAKER_37 |
transcript.pyannote[1850].start |
13088.24721875 |
transcript.pyannote[1850].end |
13110.97784375 |
transcript.pyannote[1851].speaker |
SPEAKER_01 |
transcript.pyannote[1851].start |
13090.39034375 |
transcript.pyannote[1851].end |
13090.52534375 |
transcript.pyannote[1852].speaker |
SPEAKER_59 |
transcript.pyannote[1852].start |
13090.52534375 |
transcript.pyannote[1852].end |
13090.55909375 |
transcript.pyannote[1853].speaker |
SPEAKER_01 |
transcript.pyannote[1853].start |
13090.55909375 |
transcript.pyannote[1853].end |
13090.77846875 |
transcript.pyannote[1854].speaker |
SPEAKER_02 |
transcript.pyannote[1854].start |
13090.77846875 |
transcript.pyannote[1854].end |
13090.84596875 |
transcript.pyannote[1855].speaker |
SPEAKER_01 |
transcript.pyannote[1855].start |
13094.17034375 |
transcript.pyannote[1855].end |
13094.91284375 |
transcript.pyannote[1856].speaker |
SPEAKER_02 |
transcript.pyannote[1856].start |
13094.91284375 |
transcript.pyannote[1856].end |
13095.13221875 |
transcript.pyannote[1857].speaker |
SPEAKER_02 |
transcript.pyannote[1857].start |
13105.62846875 |
transcript.pyannote[1857].end |
13106.86034375 |
transcript.pyannote[1858].speaker |
SPEAKER_02 |
transcript.pyannote[1858].start |
13110.97784375 |
transcript.pyannote[1858].end |
13111.02846875 |
transcript.pyannote[1859].speaker |
SPEAKER_37 |
transcript.pyannote[1859].start |
13111.02846875 |
transcript.pyannote[1859].end |
13121.10284375 |
transcript.pyannote[1860].speaker |
SPEAKER_11 |
transcript.pyannote[1860].start |
13120.52909375 |
transcript.pyannote[1860].end |
13122.26721875 |
transcript.pyannote[1861].speaker |
SPEAKER_37 |
transcript.pyannote[1861].start |
13121.77784375 |
transcript.pyannote[1861].end |
13124.41034375 |
transcript.pyannote[1862].speaker |
SPEAKER_37 |
transcript.pyannote[1862].start |
13131.56534375 |
transcript.pyannote[1862].end |
13132.02096875 |
transcript.pyannote[1863].speaker |
SPEAKER_37 |
transcript.pyannote[1863].start |
13132.40909375 |
transcript.pyannote[1863].end |
13155.39284375 |
transcript.pyannote[1864].speaker |
SPEAKER_48 |
transcript.pyannote[1864].start |
13155.67971875 |
transcript.pyannote[1864].end |
13161.99096875 |
transcript.pyannote[1865].speaker |
SPEAKER_37 |
transcript.pyannote[1865].start |
13161.99096875 |
transcript.pyannote[1865].end |
13172.26784375 |
transcript.pyannote[1866].speaker |
SPEAKER_48 |
transcript.pyannote[1866].start |
13172.47034375 |
transcript.pyannote[1866].end |
13190.05409375 |
transcript.pyannote[1867].speaker |
SPEAKER_37 |
transcript.pyannote[1867].start |
13189.49721875 |
transcript.pyannote[1867].end |
13214.08409375 |
transcript.pyannote[1868].speaker |
SPEAKER_48 |
transcript.pyannote[1868].start |
13190.94846875 |
transcript.pyannote[1868].end |
13191.20159375 |
transcript.pyannote[1869].speaker |
SPEAKER_48 |
transcript.pyannote[1869].start |
13214.08409375 |
transcript.pyannote[1869].end |
13224.00659375 |
transcript.pyannote[1870].speaker |
SPEAKER_37 |
transcript.pyannote[1870].start |
13224.22596875 |
transcript.pyannote[1870].end |
13232.19096875 |
transcript.pyannote[1871].speaker |
SPEAKER_43 |
transcript.pyannote[1871].start |
13232.19096875 |
transcript.pyannote[1871].end |
13232.59596875 |
transcript.pyannote[1872].speaker |
SPEAKER_37 |
transcript.pyannote[1872].start |
13232.64659375 |
transcript.pyannote[1872].end |
13234.19909375 |
transcript.pyannote[1873].speaker |
SPEAKER_43 |
transcript.pyannote[1873].start |
13233.97971875 |
transcript.pyannote[1873].end |
13244.29034375 |
transcript.pyannote[1874].speaker |
SPEAKER_15 |
transcript.pyannote[1874].start |
13252.69409375 |
transcript.pyannote[1874].end |
13254.92159375 |
transcript.pyannote[1875].speaker |
SPEAKER_15 |
transcript.pyannote[1875].start |
13256.55846875 |
transcript.pyannote[1875].end |
13258.07721875 |
transcript.pyannote[1876].speaker |
SPEAKER_15 |
transcript.pyannote[1876].start |
13267.00409375 |
transcript.pyannote[1876].end |
13275.20534375 |
transcript.pyannote[1877].speaker |
SPEAKER_15 |
transcript.pyannote[1877].start |
13275.49221875 |
transcript.pyannote[1877].end |
13280.41971875 |
transcript.pyannote[1878].speaker |
SPEAKER_15 |
transcript.pyannote[1878].start |
13280.50409375 |
transcript.pyannote[1878].end |
13281.61784375 |
transcript.pyannote[1879].speaker |
SPEAKER_15 |
transcript.pyannote[1879].start |
13282.44471875 |
transcript.pyannote[1879].end |
13286.20784375 |
transcript.pyannote[1880].speaker |
SPEAKER_15 |
transcript.pyannote[1880].start |
13286.44409375 |
transcript.pyannote[1880].end |
13293.59909375 |
transcript.pyannote[1881].speaker |
SPEAKER_15 |
transcript.pyannote[1881].start |
13294.10534375 |
transcript.pyannote[1881].end |
13294.74659375 |
transcript.pyannote[1882].speaker |
SPEAKER_15 |
transcript.pyannote[1882].start |
13295.03346875 |
transcript.pyannote[1882].end |
13298.27346875 |
transcript.pyannote[1883].speaker |
SPEAKER_15 |
transcript.pyannote[1883].start |
13298.67846875 |
transcript.pyannote[1883].end |
13300.19721875 |
transcript.pyannote[1884].speaker |
SPEAKER_15 |
transcript.pyannote[1884].start |
13300.45034375 |
transcript.pyannote[1884].end |
13300.95659375 |
transcript.pyannote[1885].speaker |
SPEAKER_15 |
transcript.pyannote[1885].start |
13301.26034375 |
transcript.pyannote[1885].end |
13307.53784375 |
transcript.pyannote[1886].speaker |
SPEAKER_15 |
transcript.pyannote[1886].start |
13308.38159375 |
transcript.pyannote[1886].end |
13309.34346875 |
transcript.pyannote[1887].speaker |
SPEAKER_15 |
transcript.pyannote[1887].start |
13309.49534375 |
transcript.pyannote[1887].end |
13310.28846875 |
transcript.pyannote[1888].speaker |
SPEAKER_15 |
transcript.pyannote[1888].start |
13310.76096875 |
transcript.pyannote[1888].end |
13315.01346875 |
transcript.pyannote[1889].speaker |
SPEAKER_15 |
transcript.pyannote[1889].start |
13315.21596875 |
transcript.pyannote[1889].end |
13316.66721875 |
transcript.pyannote[1890].speaker |
SPEAKER_15 |
transcript.pyannote[1890].start |
13316.97096875 |
transcript.pyannote[1890].end |
13323.90659375 |
transcript.pyannote[1891].speaker |
SPEAKER_15 |
transcript.pyannote[1891].start |
13324.15971875 |
transcript.pyannote[1891].end |
13326.74159375 |
transcript.pyannote[1892].speaker |
SPEAKER_15 |
transcript.pyannote[1892].start |
13326.96096875 |
transcript.pyannote[1892].end |
13328.37846875 |
transcript.pyannote[1893].speaker |
SPEAKER_15 |
transcript.pyannote[1893].start |
13328.68221875 |
transcript.pyannote[1893].end |
13330.33596875 |
transcript.pyannote[1894].speaker |
SPEAKER_15 |
transcript.pyannote[1894].start |
13330.60596875 |
transcript.pyannote[1894].end |
13333.23846875 |
transcript.pyannote[1895].speaker |
SPEAKER_15 |
transcript.pyannote[1895].start |
13333.55909375 |
transcript.pyannote[1895].end |
13336.19159375 |
transcript.pyannote[1896].speaker |
SPEAKER_15 |
transcript.pyannote[1896].start |
13336.47846875 |
transcript.pyannote[1896].end |
13339.60034375 |
transcript.pyannote[1897].speaker |
SPEAKER_15 |
transcript.pyannote[1897].start |
13340.07284375 |
transcript.pyannote[1897].end |
13340.44409375 |
transcript.pyannote[1898].speaker |
SPEAKER_15 |
transcript.pyannote[1898].start |
13340.62971875 |
transcript.pyannote[1898].end |
13342.48596875 |
transcript.pyannote[1899].speaker |
SPEAKER_15 |
transcript.pyannote[1899].start |
13342.65471875 |
transcript.pyannote[1899].end |
13344.25784375 |
transcript.pyannote[1900].speaker |
SPEAKER_15 |
transcript.pyannote[1900].start |
13344.44346875 |
transcript.pyannote[1900].end |
13346.06346875 |
transcript.pyannote[1901].speaker |
SPEAKER_15 |
transcript.pyannote[1901].start |
13346.19846875 |
transcript.pyannote[1901].end |
13350.51846875 |
transcript.pyannote[1902].speaker |
SPEAKER_15 |
transcript.pyannote[1902].start |
13350.90659375 |
transcript.pyannote[1902].end |
13369.19909375 |
transcript.pyannote[1903].speaker |
SPEAKER_37 |
transcript.pyannote[1903].start |
13366.78596875 |
transcript.pyannote[1903].end |
13367.54534375 |
transcript.pyannote[1904].speaker |
SPEAKER_37 |
transcript.pyannote[1904].start |
13369.19909375 |
transcript.pyannote[1904].end |
13370.02596875 |
transcript.pyannote[1905].speaker |
SPEAKER_11 |
transcript.pyannote[1905].start |
13370.02596875 |
transcript.pyannote[1905].end |
13386.96846875 |
transcript.pyannote[1906].speaker |
SPEAKER_37 |
transcript.pyannote[1906].start |
13386.96846875 |
transcript.pyannote[1906].end |
13408.65284375 |
transcript.pyannote[1907].speaker |
SPEAKER_15 |
transcript.pyannote[1907].start |
13406.18909375 |
transcript.pyannote[1907].end |
13406.54346875 |
transcript.pyannote[1908].speaker |
SPEAKER_15 |
transcript.pyannote[1908].start |
13408.65284375 |
transcript.pyannote[1908].end |
13423.43534375 |
transcript.pyannote[1909].speaker |
SPEAKER_42 |
transcript.pyannote[1909].start |
13424.85284375 |
transcript.pyannote[1909].end |
13424.93721875 |
transcript.pyannote[1910].speaker |
SPEAKER_15 |
transcript.pyannote[1910].start |
13424.93721875 |
transcript.pyannote[1910].end |
13424.97096875 |
transcript.pyannote[1911].speaker |
SPEAKER_42 |
transcript.pyannote[1911].start |
13424.97096875 |
transcript.pyannote[1911].end |
13425.00471875 |
transcript.pyannote[1912].speaker |
SPEAKER_15 |
transcript.pyannote[1912].start |
13425.00471875 |
transcript.pyannote[1912].end |
13425.74721875 |
transcript.pyannote[1913].speaker |
SPEAKER_15 |
transcript.pyannote[1913].start |
13430.23596875 |
transcript.pyannote[1913].end |
13432.29471875 |
transcript.pyannote[1914].speaker |
SPEAKER_59 |
transcript.pyannote[1914].start |
13432.17659375 |
transcript.pyannote[1914].end |
13432.31159375 |
transcript.pyannote[1915].speaker |
SPEAKER_15 |
transcript.pyannote[1915].start |
13432.31159375 |
transcript.pyannote[1915].end |
13481.68784375 |
transcript.pyannote[1916].speaker |
SPEAKER_59 |
transcript.pyannote[1916].start |
13432.34534375 |
transcript.pyannote[1916].end |
13432.46346875 |
transcript.pyannote[1917].speaker |
SPEAKER_15 |
transcript.pyannote[1917].start |
13482.12659375 |
transcript.pyannote[1917].end |
13508.77221875 |
transcript.pyannote[1918].speaker |
SPEAKER_15 |
transcript.pyannote[1918].start |
13509.24471875 |
transcript.pyannote[1918].end |
13522.54221875 |
transcript.pyannote[1919].speaker |
SPEAKER_15 |
transcript.pyannote[1919].start |
13523.26784375 |
transcript.pyannote[1919].end |
13524.75284375 |
transcript.pyannote[1920].speaker |
SPEAKER_15 |
transcript.pyannote[1920].start |
13525.12409375 |
transcript.pyannote[1920].end |
13537.42596875 |
transcript.pyannote[1921].speaker |
SPEAKER_47 |
transcript.pyannote[1921].start |
13538.79284375 |
transcript.pyannote[1921].end |
13567.41284375 |
transcript.pyannote[1922].speaker |
SPEAKER_15 |
transcript.pyannote[1922].start |
13567.41284375 |
transcript.pyannote[1922].end |
13623.21846875 |
transcript.pyannote[1923].speaker |
SPEAKER_47 |
transcript.pyannote[1923].start |
13567.42971875 |
transcript.pyannote[1923].end |
13567.46346875 |
transcript.pyannote[1924].speaker |
SPEAKER_15 |
transcript.pyannote[1924].start |
13623.75846875 |
transcript.pyannote[1924].end |
13623.77534375 |
transcript.pyannote[1925].speaker |
SPEAKER_47 |
transcript.pyannote[1925].start |
13623.77534375 |
transcript.pyannote[1925].end |
13623.94409375 |
transcript.pyannote[1926].speaker |
SPEAKER_15 |
transcript.pyannote[1926].start |
13623.94409375 |
transcript.pyannote[1926].end |
13623.97784375 |
transcript.pyannote[1927].speaker |
SPEAKER_47 |
transcript.pyannote[1927].start |
13623.97784375 |
transcript.pyannote[1927].end |
13659.19596875 |
transcript.pyannote[1928].speaker |
SPEAKER_39 |
transcript.pyannote[1928].start |
13653.01971875 |
transcript.pyannote[1928].end |
13653.12096875 |
transcript.pyannote[1929].speaker |
SPEAKER_15 |
transcript.pyannote[1929].start |
13658.55471875 |
transcript.pyannote[1929].end |
13667.11034375 |
transcript.pyannote[1930].speaker |
SPEAKER_47 |
transcript.pyannote[1930].start |
13659.22971875 |
transcript.pyannote[1930].end |
13659.93846875 |
transcript.pyannote[1931].speaker |
SPEAKER_47 |
transcript.pyannote[1931].start |
13665.82784375 |
transcript.pyannote[1931].end |
13667.09346875 |
transcript.pyannote[1932].speaker |
SPEAKER_47 |
transcript.pyannote[1932].start |
13667.11034375 |
transcript.pyannote[1932].end |
13673.18534375 |
transcript.pyannote[1933].speaker |
SPEAKER_43 |
transcript.pyannote[1933].start |
13672.44284375 |
transcript.pyannote[1933].end |
13675.88534375 |
transcript.pyannote[1934].speaker |
SPEAKER_43 |
transcript.pyannote[1934].start |
13676.35784375 |
transcript.pyannote[1934].end |
13677.33659375 |
transcript.pyannote[1935].speaker |
SPEAKER_10 |
transcript.pyannote[1935].start |
13683.83346875 |
transcript.pyannote[1935].end |
13684.67721875 |
transcript.pyannote[1936].speaker |
SPEAKER_10 |
transcript.pyannote[1936].start |
13685.40284375 |
transcript.pyannote[1936].end |
13687.86659375 |
transcript.pyannote[1937].speaker |
SPEAKER_10 |
transcript.pyannote[1937].start |
13688.23784375 |
transcript.pyannote[1937].end |
13688.37284375 |
transcript.pyannote[1938].speaker |
SPEAKER_39 |
transcript.pyannote[1938].start |
13688.37284375 |
transcript.pyannote[1938].end |
13688.71034375 |
transcript.pyannote[1939].speaker |
SPEAKER_10 |
transcript.pyannote[1939].start |
13688.71034375 |
transcript.pyannote[1939].end |
13689.11534375 |
transcript.pyannote[1940].speaker |
SPEAKER_11 |
transcript.pyannote[1940].start |
13698.12659375 |
transcript.pyannote[1940].end |
13698.71721875 |
transcript.pyannote[1941].speaker |
SPEAKER_10 |
transcript.pyannote[1941].start |
13698.71721875 |
transcript.pyannote[1941].end |
13698.75096875 |
transcript.pyannote[1942].speaker |
SPEAKER_10 |
transcript.pyannote[1942].start |
13698.95346875 |
transcript.pyannote[1942].end |
13774.50284375 |
transcript.pyannote[1943].speaker |
SPEAKER_00 |
transcript.pyannote[1943].start |
13761.37409375 |
transcript.pyannote[1943].end |
13761.77909375 |
transcript.pyannote[1944].speaker |
SPEAKER_10 |
transcript.pyannote[1944].start |
13774.65471875 |
transcript.pyannote[1944].end |
13775.58284375 |
transcript.pyannote[1945].speaker |
SPEAKER_03 |
transcript.pyannote[1945].start |
13777.10159375 |
transcript.pyannote[1945].end |
13777.92846875 |
transcript.pyannote[1946].speaker |
SPEAKER_03 |
transcript.pyannote[1946].start |
13778.28284375 |
transcript.pyannote[1946].end |
13780.96596875 |
transcript.pyannote[1947].speaker |
SPEAKER_37 |
transcript.pyannote[1947].start |
13780.96596875 |
transcript.pyannote[1947].end |
13788.13784375 |
transcript.pyannote[1948].speaker |
SPEAKER_10 |
transcript.pyannote[1948].start |
13782.36659375 |
transcript.pyannote[1948].end |
13784.37471875 |
transcript.pyannote[1949].speaker |
SPEAKER_37 |
transcript.pyannote[1949].start |
13788.28971875 |
transcript.pyannote[1949].end |
13813.68659375 |
transcript.pyannote[1950].speaker |
SPEAKER_10 |
transcript.pyannote[1950].start |
13813.63596875 |
transcript.pyannote[1950].end |
13813.66971875 |
transcript.pyannote[1951].speaker |
SPEAKER_10 |
transcript.pyannote[1951].start |
13813.68659375 |
transcript.pyannote[1951].end |
13885.99596875 |
transcript.pyannote[1952].speaker |
SPEAKER_37 |
transcript.pyannote[1952].start |
13815.28971875 |
transcript.pyannote[1952].end |
13815.57659375 |
transcript.pyannote[1953].speaker |
SPEAKER_00 |
transcript.pyannote[1953].start |
13824.79034375 |
transcript.pyannote[1953].end |
13825.34721875 |
transcript.pyannote[1954].speaker |
SPEAKER_59 |
transcript.pyannote[1954].start |
13849.47846875 |
transcript.pyannote[1954].end |
13850.89596875 |
transcript.pyannote[1955].speaker |
SPEAKER_10 |
transcript.pyannote[1955].start |
13886.60346875 |
transcript.pyannote[1955].end |
13896.22221875 |
transcript.pyannote[1956].speaker |
SPEAKER_10 |
transcript.pyannote[1956].start |
13896.44159375 |
transcript.pyannote[1956].end |
13902.22971875 |
transcript.pyannote[1957].speaker |
SPEAKER_03 |
transcript.pyannote[1957].start |
13900.23846875 |
transcript.pyannote[1957].end |
13900.30596875 |
transcript.pyannote[1958].speaker |
SPEAKER_37 |
transcript.pyannote[1958].start |
13900.30596875 |
transcript.pyannote[1958].end |
13900.62659375 |
transcript.pyannote[1959].speaker |
SPEAKER_03 |
transcript.pyannote[1959].start |
13900.62659375 |
transcript.pyannote[1959].end |
13900.66034375 |
transcript.pyannote[1960].speaker |
SPEAKER_37 |
transcript.pyannote[1960].start |
13902.88784375 |
transcript.pyannote[1960].end |
13907.68034375 |
transcript.pyannote[1961].speaker |
SPEAKER_37 |
transcript.pyannote[1961].start |
13907.96721875 |
transcript.pyannote[1961].end |
13914.76784375 |
transcript.pyannote[1962].speaker |
SPEAKER_10 |
transcript.pyannote[1962].start |
13914.75096875 |
transcript.pyannote[1962].end |
13921.99034375 |
transcript.pyannote[1963].speaker |
SPEAKER_37 |
transcript.pyannote[1963].start |
13916.53971875 |
transcript.pyannote[1963].end |
13917.60284375 |
transcript.pyannote[1964].speaker |
SPEAKER_37 |
transcript.pyannote[1964].start |
13921.95659375 |
transcript.pyannote[1964].end |
13950.67784375 |
transcript.pyannote[1965].speaker |
SPEAKER_10 |
transcript.pyannote[1965].start |
13949.44596875 |
transcript.pyannote[1965].end |
14036.14971875 |
transcript.pyannote[1966].speaker |
SPEAKER_37 |
transcript.pyannote[1966].start |
13951.06596875 |
transcript.pyannote[1966].end |
13952.48346875 |
transcript.pyannote[1967].speaker |
SPEAKER_37 |
transcript.pyannote[1967].start |
13952.93909375 |
transcript.pyannote[1967].end |
13953.42846875 |
transcript.pyannote[1968].speaker |
SPEAKER_16 |
transcript.pyannote[1968].start |
13953.42846875 |
transcript.pyannote[1968].end |
13953.46221875 |
transcript.pyannote[1969].speaker |
SPEAKER_37 |
transcript.pyannote[1969].start |
13954.55909375 |
transcript.pyannote[1969].end |
13954.91346875 |
transcript.pyannote[1970].speaker |
SPEAKER_00 |
transcript.pyannote[1970].start |
13959.90846875 |
transcript.pyannote[1970].end |
13960.19534375 |
transcript.pyannote[1971].speaker |
SPEAKER_00 |
transcript.pyannote[1971].start |
13962.99659375 |
transcript.pyannote[1971].end |
13963.50284375 |
transcript.pyannote[1972].speaker |
SPEAKER_00 |
transcript.pyannote[1972].start |
13964.26221875 |
transcript.pyannote[1972].end |
13964.78534375 |
transcript.pyannote[1973].speaker |
SPEAKER_00 |
transcript.pyannote[1973].start |
13966.10159375 |
transcript.pyannote[1973].end |
13966.15221875 |
transcript.pyannote[1974].speaker |
SPEAKER_59 |
transcript.pyannote[1974].start |
13966.15221875 |
transcript.pyannote[1974].end |
13966.94534375 |
transcript.pyannote[1975].speaker |
SPEAKER_59 |
transcript.pyannote[1975].start |
13971.51846875 |
transcript.pyannote[1975].end |
13972.04159375 |
transcript.pyannote[1976].speaker |
SPEAKER_59 |
transcript.pyannote[1976].start |
13973.50971875 |
transcript.pyannote[1976].end |
13974.08346875 |
transcript.pyannote[1977].speaker |
SPEAKER_59 |
transcript.pyannote[1977].start |
13977.61034375 |
transcript.pyannote[1977].end |
13977.96471875 |
transcript.pyannote[1978].speaker |
SPEAKER_59 |
transcript.pyannote[1978].start |
13979.04471875 |
transcript.pyannote[1978].end |
13979.39909375 |
transcript.pyannote[1979].speaker |
SPEAKER_00 |
transcript.pyannote[1979].start |
13979.39909375 |
transcript.pyannote[1979].end |
13979.44971875 |
transcript.pyannote[1980].speaker |
SPEAKER_00 |
transcript.pyannote[1980].start |
13985.98034375 |
transcript.pyannote[1980].end |
13986.46971875 |
transcript.pyannote[1981].speaker |
SPEAKER_00 |
transcript.pyannote[1981].start |
13987.27971875 |
transcript.pyannote[1981].end |
13987.36409375 |
transcript.pyannote[1982].speaker |
SPEAKER_27 |
transcript.pyannote[1982].start |
13987.36409375 |
transcript.pyannote[1982].end |
13987.49909375 |
transcript.pyannote[1983].speaker |
SPEAKER_00 |
transcript.pyannote[1983].start |
13987.49909375 |
transcript.pyannote[1983].end |
13987.60034375 |
transcript.pyannote[1984].speaker |
SPEAKER_10 |
transcript.pyannote[1984].start |
14036.67284375 |
transcript.pyannote[1984].end |
14044.03034375 |
transcript.pyannote[1985].speaker |
SPEAKER_10 |
transcript.pyannote[1985].start |
14044.57034375 |
transcript.pyannote[1985].end |
14045.44784375 |
transcript.pyannote[1986].speaker |
SPEAKER_37 |
transcript.pyannote[1986].start |
14046.10596875 |
transcript.pyannote[1986].end |
14075.35034375 |
transcript.pyannote[1987].speaker |
SPEAKER_10 |
transcript.pyannote[1987].start |
14074.05096875 |
transcript.pyannote[1987].end |
14086.65659375 |
transcript.pyannote[1988].speaker |
SPEAKER_37 |
transcript.pyannote[1988].start |
14076.14346875 |
transcript.pyannote[1988].end |
14078.38784375 |
transcript.pyannote[1989].speaker |
SPEAKER_37 |
transcript.pyannote[1989].start |
14080.68284375 |
transcript.pyannote[1989].end |
14080.91909375 |
transcript.pyannote[1990].speaker |
SPEAKER_23 |
transcript.pyannote[1990].start |
14080.91909375 |
transcript.pyannote[1990].end |
14080.95284375 |
transcript.pyannote[1991].speaker |
SPEAKER_37 |
transcript.pyannote[1991].start |
14080.95284375 |
transcript.pyannote[1991].end |
14080.96971875 |
transcript.pyannote[1992].speaker |
SPEAKER_23 |
transcript.pyannote[1992].start |
14084.36159375 |
transcript.pyannote[1992].end |
14084.37846875 |
transcript.pyannote[1993].speaker |
SPEAKER_43 |
transcript.pyannote[1993].start |
14084.37846875 |
transcript.pyannote[1993].end |
14084.59784375 |
transcript.pyannote[1994].speaker |
SPEAKER_23 |
transcript.pyannote[1994].start |
14084.59784375 |
transcript.pyannote[1994].end |
14084.78346875 |
transcript.pyannote[1995].speaker |
SPEAKER_23 |
transcript.pyannote[1995].start |
14085.49221875 |
transcript.pyannote[1995].end |
14085.62721875 |
transcript.pyannote[1996].speaker |
SPEAKER_43 |
transcript.pyannote[1996].start |
14085.94784375 |
transcript.pyannote[1996].end |
14085.96471875 |
transcript.pyannote[1997].speaker |
SPEAKER_43 |
transcript.pyannote[1997].start |
14085.98159375 |
transcript.pyannote[1997].end |
14089.62659375 |
transcript.pyannote[1998].speaker |
SPEAKER_28 |
transcript.pyannote[1998].start |
14099.70096875 |
transcript.pyannote[1998].end |
14102.45159375 |
transcript.pyannote[1999].speaker |
SPEAKER_28 |
transcript.pyannote[1999].start |
14103.41346875 |
transcript.pyannote[1999].end |
14104.83096875 |
transcript.pyannote[2000].speaker |
SPEAKER_28 |
transcript.pyannote[2000].start |
14109.72471875 |
transcript.pyannote[2000].end |
14110.24784375 |
transcript.pyannote[2001].speaker |
SPEAKER_28 |
transcript.pyannote[2001].start |
14111.10846875 |
transcript.pyannote[2001].end |
14176.22909375 |
transcript.pyannote[2002].speaker |
SPEAKER_00 |
transcript.pyannote[2002].start |
14148.68909375 |
transcript.pyannote[2002].end |
14148.77346875 |
transcript.pyannote[2003].speaker |
SPEAKER_00 |
transcript.pyannote[2003].start |
14149.49909375 |
transcript.pyannote[2003].end |
14150.41034375 |
transcript.pyannote[2004].speaker |
SPEAKER_28 |
transcript.pyannote[2004].start |
14176.38096875 |
transcript.pyannote[2004].end |
14176.41471875 |
transcript.pyannote[2005].speaker |
SPEAKER_48 |
transcript.pyannote[2005].start |
14176.41471875 |
transcript.pyannote[2005].end |
14195.28096875 |
transcript.pyannote[2006].speaker |
SPEAKER_28 |
transcript.pyannote[2006].start |
14195.28096875 |
transcript.pyannote[2006].end |
14195.36534375 |
transcript.pyannote[2007].speaker |
SPEAKER_48 |
transcript.pyannote[2007].start |
14195.85471875 |
transcript.pyannote[2007].end |
14195.97284375 |
transcript.pyannote[2008].speaker |
SPEAKER_28 |
transcript.pyannote[2008].start |
14195.97284375 |
transcript.pyannote[2008].end |
14241.02909375 |
transcript.pyannote[2009].speaker |
SPEAKER_48 |
transcript.pyannote[2009].start |
14242.05846875 |
transcript.pyannote[2009].end |
14264.09721875 |
transcript.pyannote[2010].speaker |
SPEAKER_28 |
transcript.pyannote[2010].start |
14265.41346875 |
transcript.pyannote[2010].end |
14314.40159375 |
transcript.pyannote[2011].speaker |
SPEAKER_59 |
transcript.pyannote[2011].start |
14314.65471875 |
transcript.pyannote[2011].end |
14315.31284375 |
transcript.pyannote[2012].speaker |
SPEAKER_28 |
transcript.pyannote[2012].start |
14315.31284375 |
transcript.pyannote[2012].end |
14315.38034375 |
transcript.pyannote[2013].speaker |
SPEAKER_48 |
transcript.pyannote[2013].start |
14315.38034375 |
transcript.pyannote[2013].end |
14323.85159375 |
transcript.pyannote[2014].speaker |
SPEAKER_59 |
transcript.pyannote[2014].start |
14323.96971875 |
transcript.pyannote[2014].end |
14324.18909375 |
transcript.pyannote[2015].speaker |
SPEAKER_48 |
transcript.pyannote[2015].start |
14324.59409375 |
transcript.pyannote[2015].end |
14324.96534375 |
transcript.pyannote[2016].speaker |
SPEAKER_28 |
transcript.pyannote[2016].start |
14324.96534375 |
transcript.pyannote[2016].end |
14363.76096875 |
transcript.pyannote[2017].speaker |
SPEAKER_00 |
transcript.pyannote[2017].start |
14341.09784375 |
transcript.pyannote[2017].end |
14341.36784375 |
transcript.pyannote[2018].speaker |
SPEAKER_60 |
transcript.pyannote[2018].start |
14342.93721875 |
transcript.pyannote[2018].end |
14343.00471875 |
transcript.pyannote[2019].speaker |
SPEAKER_28 |
transcript.pyannote[2019].start |
14364.43596875 |
transcript.pyannote[2019].end |
14371.27034375 |
transcript.pyannote[2020].speaker |
SPEAKER_48 |
transcript.pyannote[2020].start |
14371.91159375 |
transcript.pyannote[2020].end |
14405.08784375 |
transcript.pyannote[2021].speaker |
SPEAKER_28 |
transcript.pyannote[2021].start |
14405.08784375 |
transcript.pyannote[2021].end |
14405.13846875 |
transcript.pyannote[2022].speaker |
SPEAKER_48 |
transcript.pyannote[2022].start |
14405.66159375 |
transcript.pyannote[2022].end |
14405.96534375 |
transcript.pyannote[2023].speaker |
SPEAKER_28 |
transcript.pyannote[2023].start |
14405.96534375 |
transcript.pyannote[2023].end |
14433.03284375 |
transcript.pyannote[2024].speaker |
SPEAKER_43 |
transcript.pyannote[2024].start |
14433.03284375 |
transcript.pyannote[2024].end |
14433.64034375 |
transcript.pyannote[2025].speaker |
SPEAKER_43 |
transcript.pyannote[2025].start |
14434.70346875 |
transcript.pyannote[2025].end |
14438.55096875 |
transcript.pyannote[2026].speaker |
SPEAKER_61 |
transcript.pyannote[2026].start |
14444.06909375 |
transcript.pyannote[2026].end |
14447.15721875 |
transcript.pyannote[2027].speaker |
SPEAKER_61 |
transcript.pyannote[2027].start |
14447.83221875 |
transcript.pyannote[2027].end |
14448.32159375 |
transcript.pyannote[2028].speaker |
SPEAKER_41 |
transcript.pyannote[2028].start |
14451.47721875 |
transcript.pyannote[2028].end |
14452.27034375 |
transcript.pyannote[2029].speaker |
SPEAKER_41 |
transcript.pyannote[2029].start |
14454.56534375 |
transcript.pyannote[2029].end |
14454.95346875 |
transcript.pyannote[2030].speaker |
SPEAKER_61 |
transcript.pyannote[2030].start |
14455.24034375 |
transcript.pyannote[2030].end |
14484.75471875 |
transcript.pyannote[2031].speaker |
SPEAKER_61 |
transcript.pyannote[2031].start |
14485.49721875 |
transcript.pyannote[2031].end |
14492.98971875 |
transcript.pyannote[2032].speaker |
SPEAKER_48 |
transcript.pyannote[2032].start |
14494.45784375 |
transcript.pyannote[2032].end |
14505.39284375 |
transcript.pyannote[2033].speaker |
SPEAKER_61 |
transcript.pyannote[2033].start |
14504.63346875 |
transcript.pyannote[2033].end |
14510.26971875 |
transcript.pyannote[2034].speaker |
SPEAKER_48 |
transcript.pyannote[2034].start |
14507.16471875 |
transcript.pyannote[2034].end |
14507.41784375 |
transcript.pyannote[2035].speaker |
SPEAKER_48 |
transcript.pyannote[2035].start |
14509.17284375 |
transcript.pyannote[2035].end |
14509.59471875 |
transcript.pyannote[2036].speaker |
SPEAKER_61 |
transcript.pyannote[2036].start |
14510.64096875 |
transcript.pyannote[2036].end |
14526.57096875 |
transcript.pyannote[2037].speaker |
SPEAKER_59 |
transcript.pyannote[2037].start |
14514.69096875 |
transcript.pyannote[2037].end |
14514.97784375 |
transcript.pyannote[2038].speaker |
SPEAKER_00 |
transcript.pyannote[2038].start |
14514.97784375 |
transcript.pyannote[2038].end |
14515.02846875 |
transcript.pyannote[2039].speaker |
SPEAKER_62 |
transcript.pyannote[2039].start |
14515.02846875 |
transcript.pyannote[2039].end |
14515.53471875 |
transcript.pyannote[2040].speaker |
SPEAKER_61 |
transcript.pyannote[2040].start |
14526.77346875 |
transcript.pyannote[2040].end |
14536.89846875 |
transcript.pyannote[2041].speaker |
SPEAKER_48 |
transcript.pyannote[2041].start |
14533.03409375 |
transcript.pyannote[2041].end |
14533.20284375 |
transcript.pyannote[2042].speaker |
SPEAKER_48 |
transcript.pyannote[2042].start |
14535.78471875 |
transcript.pyannote[2042].end |
14537.82659375 |
transcript.pyannote[2043].speaker |
SPEAKER_61 |
transcript.pyannote[2043].start |
14537.21909375 |
transcript.pyannote[2043].end |
14540.64471875 |
transcript.pyannote[2044].speaker |
SPEAKER_61 |
transcript.pyannote[2044].start |
14541.16784375 |
transcript.pyannote[2044].end |
14542.11284375 |
transcript.pyannote[2045].speaker |
SPEAKER_61 |
transcript.pyannote[2045].start |
14548.74471875 |
transcript.pyannote[2045].end |
14549.77409375 |
transcript.pyannote[2046].speaker |
SPEAKER_46 |
transcript.pyannote[2046].start |
14549.14971875 |
transcript.pyannote[2046].end |
14549.74034375 |
transcript.pyannote[2047].speaker |
SPEAKER_46 |
transcript.pyannote[2047].start |
14549.77409375 |
transcript.pyannote[2047].end |
14549.84159375 |
transcript.pyannote[2048].speaker |
SPEAKER_61 |
transcript.pyannote[2048].start |
14549.84159375 |
transcript.pyannote[2048].end |
14586.84846875 |
transcript.pyannote[2049].speaker |
SPEAKER_59 |
transcript.pyannote[2049].start |
14586.84846875 |
transcript.pyannote[2049].end |
14586.98346875 |
transcript.pyannote[2050].speaker |
SPEAKER_61 |
transcript.pyannote[2050].start |
14586.93284375 |
transcript.pyannote[2050].end |
14592.43409375 |
transcript.pyannote[2051].speaker |
SPEAKER_61 |
transcript.pyannote[2051].start |
14593.24409375 |
transcript.pyannote[2051].end |
14613.46034375 |
transcript.pyannote[2052].speaker |
SPEAKER_47 |
transcript.pyannote[2052].start |
14613.57846875 |
transcript.pyannote[2052].end |
14656.01909375 |
transcript.pyannote[2053].speaker |
SPEAKER_61 |
transcript.pyannote[2053].start |
14622.40409375 |
transcript.pyannote[2053].end |
14622.65721875 |
transcript.pyannote[2054].speaker |
SPEAKER_00 |
transcript.pyannote[2054].start |
14625.13784375 |
transcript.pyannote[2054].end |
14625.44159375 |
transcript.pyannote[2055].speaker |
SPEAKER_46 |
transcript.pyannote[2055].start |
14642.02971875 |
transcript.pyannote[2055].end |
14642.19846875 |
transcript.pyannote[2056].speaker |
SPEAKER_61 |
transcript.pyannote[2056].start |
14650.31534375 |
transcript.pyannote[2056].end |
14650.88909375 |
transcript.pyannote[2057].speaker |
SPEAKER_61 |
transcript.pyannote[2057].start |
14655.54659375 |
transcript.pyannote[2057].end |
14687.23784375 |
transcript.pyannote[2058].speaker |
SPEAKER_47 |
transcript.pyannote[2058].start |
14659.19159375 |
transcript.pyannote[2058].end |
14660.23784375 |
transcript.pyannote[2059].speaker |
SPEAKER_61 |
transcript.pyannote[2059].start |
14687.74409375 |
transcript.pyannote[2059].end |
14696.80596875 |
transcript.pyannote[2060].speaker |
SPEAKER_00 |
transcript.pyannote[2060].start |
14689.80284375 |
transcript.pyannote[2060].end |
14689.81971875 |
transcript.pyannote[2061].speaker |
SPEAKER_59 |
transcript.pyannote[2061].start |
14689.81971875 |
transcript.pyannote[2061].end |
14690.47784375 |
transcript.pyannote[2062].speaker |
SPEAKER_61 |
transcript.pyannote[2062].start |
14697.56534375 |
transcript.pyannote[2062].end |
14708.58471875 |
transcript.pyannote[2063].speaker |
SPEAKER_61 |
transcript.pyannote[2063].start |
14708.60159375 |
transcript.pyannote[2063].end |
14708.63534375 |
transcript.pyannote[2064].speaker |
SPEAKER_47 |
transcript.pyannote[2064].start |
14708.63534375 |
transcript.pyannote[2064].end |
14734.72409375 |
transcript.pyannote[2065].speaker |
SPEAKER_61 |
transcript.pyannote[2065].start |
14712.97221875 |
transcript.pyannote[2065].end |
14713.02284375 |
transcript.pyannote[2066].speaker |
SPEAKER_59 |
transcript.pyannote[2066].start |
14713.02284375 |
transcript.pyannote[2066].end |
14713.14096875 |
transcript.pyannote[2067].speaker |
SPEAKER_61 |
transcript.pyannote[2067].start |
14713.14096875 |
transcript.pyannote[2067].end |
14713.37721875 |
transcript.pyannote[2068].speaker |
SPEAKER_61 |
transcript.pyannote[2068].start |
14727.45096875 |
transcript.pyannote[2068].end |
14727.94034375 |
transcript.pyannote[2069].speaker |
SPEAKER_61 |
transcript.pyannote[2069].start |
14729.83034375 |
transcript.pyannote[2069].end |
14730.31971875 |
transcript.pyannote[2070].speaker |
SPEAKER_61 |
transcript.pyannote[2070].start |
14734.31909375 |
transcript.pyannote[2070].end |
14793.88784375 |
transcript.pyannote[2071].speaker |
SPEAKER_47 |
transcript.pyannote[2071].start |
14739.12846875 |
transcript.pyannote[2071].end |
14739.46596875 |
transcript.pyannote[2072].speaker |
SPEAKER_00 |
transcript.pyannote[2072].start |
14739.46596875 |
transcript.pyannote[2072].end |
14739.51659375 |
transcript.pyannote[2073].speaker |
SPEAKER_47 |
transcript.pyannote[2073].start |
14795.50784375 |
transcript.pyannote[2073].end |
14832.88596875 |
transcript.pyannote[2074].speaker |
SPEAKER_00 |
transcript.pyannote[2074].start |
14803.72596875 |
transcript.pyannote[2074].end |
14804.02971875 |
transcript.pyannote[2075].speaker |
SPEAKER_59 |
transcript.pyannote[2075].start |
14804.02971875 |
transcript.pyannote[2075].end |
14805.17721875 |
transcript.pyannote[2076].speaker |
SPEAKER_59 |
transcript.pyannote[2076].start |
14806.74659375 |
transcript.pyannote[2076].end |
14807.43846875 |
transcript.pyannote[2077].speaker |
SPEAKER_38 |
transcript.pyannote[2077].start |
14822.11971875 |
transcript.pyannote[2077].end |
14822.65971875 |
transcript.pyannote[2078].speaker |
SPEAKER_00 |
transcript.pyannote[2078].start |
14822.65971875 |
transcript.pyannote[2078].end |
14822.67659375 |
transcript.pyannote[2079].speaker |
SPEAKER_61 |
transcript.pyannote[2079].start |
14825.86596875 |
transcript.pyannote[2079].end |
14826.35534375 |
transcript.pyannote[2080].speaker |
SPEAKER_61 |
transcript.pyannote[2080].start |
14829.19034375 |
transcript.pyannote[2080].end |
14829.52784375 |
transcript.pyannote[2081].speaker |
SPEAKER_61 |
transcript.pyannote[2081].start |
14832.29534375 |
transcript.pyannote[2081].end |
14836.32846875 |
transcript.pyannote[2082].speaker |
SPEAKER_61 |
transcript.pyannote[2082].start |
14836.53096875 |
transcript.pyannote[2082].end |
14845.42409375 |
transcript.pyannote[2083].speaker |
SPEAKER_47 |
transcript.pyannote[2083].start |
14845.42409375 |
transcript.pyannote[2083].end |
14848.37721875 |
transcript.pyannote[2084].speaker |
SPEAKER_61 |
transcript.pyannote[2084].start |
14845.44096875 |
transcript.pyannote[2084].end |
14845.96409375 |
transcript.pyannote[2085].speaker |
SPEAKER_61 |
transcript.pyannote[2085].start |
14847.16221875 |
transcript.pyannote[2085].end |
14847.60096875 |
transcript.pyannote[2086].speaker |
SPEAKER_43 |
transcript.pyannote[2086].start |
14847.60096875 |
transcript.pyannote[2086].end |
14847.61784375 |
transcript.pyannote[2087].speaker |
SPEAKER_61 |
transcript.pyannote[2087].start |
14847.85409375 |
transcript.pyannote[2087].end |
14848.88346875 |
transcript.pyannote[2088].speaker |
SPEAKER_43 |
transcript.pyannote[2088].start |
14848.96784375 |
transcript.pyannote[2088].end |
14853.37221875 |
transcript.pyannote[2089].speaker |
SPEAKER_04 |
transcript.pyannote[2089].start |
14863.00784375 |
transcript.pyannote[2089].end |
14865.18471875 |
transcript.pyannote[2090].speaker |
SPEAKER_41 |
transcript.pyannote[2090].start |
14866.01159375 |
transcript.pyannote[2090].end |
14867.68221875 |
transcript.pyannote[2091].speaker |
SPEAKER_41 |
transcript.pyannote[2091].start |
14870.97284375 |
transcript.pyannote[2091].end |
14871.51284375 |
transcript.pyannote[2092].speaker |
SPEAKER_36 |
transcript.pyannote[2092].start |
14871.51284375 |
transcript.pyannote[2092].end |
14871.54659375 |
transcript.pyannote[2093].speaker |
SPEAKER_04 |
transcript.pyannote[2093].start |
14871.66471875 |
transcript.pyannote[2093].end |
14882.32971875 |
transcript.pyannote[2094].speaker |
SPEAKER_04 |
transcript.pyannote[2094].start |
14882.48159375 |
transcript.pyannote[2094].end |
14907.28784375 |
transcript.pyannote[2095].speaker |
SPEAKER_04 |
transcript.pyannote[2095].start |
14907.64221875 |
transcript.pyannote[2095].end |
14909.68409375 |
transcript.pyannote[2096].speaker |
SPEAKER_04 |
transcript.pyannote[2096].start |
14910.17346875 |
transcript.pyannote[2096].end |
14931.99284375 |
transcript.pyannote[2097].speaker |
SPEAKER_04 |
transcript.pyannote[2097].start |
14932.06034375 |
transcript.pyannote[2097].end |
14947.26471875 |
transcript.pyannote[2098].speaker |
SPEAKER_04 |
transcript.pyannote[2098].start |
14948.09159375 |
transcript.pyannote[2098].end |
14954.77409375 |
transcript.pyannote[2099].speaker |
SPEAKER_36 |
transcript.pyannote[2099].start |
14955.41534375 |
transcript.pyannote[2099].end |
14959.04346875 |
transcript.pyannote[2100].speaker |
SPEAKER_36 |
transcript.pyannote[2100].start |
14959.56659375 |
transcript.pyannote[2100].end |
14989.57034375 |
transcript.pyannote[2101].speaker |
SPEAKER_04 |
transcript.pyannote[2101].start |
14990.73471875 |
transcript.pyannote[2101].end |
14997.02909375 |
transcript.pyannote[2102].speaker |
SPEAKER_04 |
transcript.pyannote[2102].start |
14997.60284375 |
transcript.pyannote[2102].end |
15006.52971875 |
transcript.pyannote[2103].speaker |
SPEAKER_04 |
transcript.pyannote[2103].start |
15006.71534375 |
transcript.pyannote[2103].end |
15009.43221875 |
transcript.pyannote[2104].speaker |
SPEAKER_04 |
transcript.pyannote[2104].start |
15010.07346875 |
transcript.pyannote[2104].end |
15012.70596875 |
transcript.pyannote[2105].speaker |
SPEAKER_04 |
transcript.pyannote[2105].start |
15013.51596875 |
transcript.pyannote[2105].end |
15016.50284375 |
transcript.pyannote[2106].speaker |
SPEAKER_36 |
transcript.pyannote[2106].start |
15018.15659375 |
transcript.pyannote[2106].end |
15022.89846875 |
transcript.pyannote[2107].speaker |
SPEAKER_04 |
transcript.pyannote[2107].start |
15022.89846875 |
transcript.pyannote[2107].end |
15023.03346875 |
transcript.pyannote[2108].speaker |
SPEAKER_36 |
transcript.pyannote[2108].start |
15023.03346875 |
transcript.pyannote[2108].end |
15027.03284375 |
transcript.pyannote[2109].speaker |
SPEAKER_36 |
transcript.pyannote[2109].start |
15027.55596875 |
transcript.pyannote[2109].end |
15027.89346875 |
transcript.pyannote[2110].speaker |
SPEAKER_04 |
transcript.pyannote[2110].start |
15028.06221875 |
transcript.pyannote[2110].end |
15036.56721875 |
transcript.pyannote[2111].speaker |
SPEAKER_04 |
transcript.pyannote[2111].start |
15037.25909375 |
transcript.pyannote[2111].end |
15043.57034375 |
transcript.pyannote[2112].speaker |
SPEAKER_04 |
transcript.pyannote[2112].start |
15043.68846875 |
transcript.pyannote[2112].end |
15043.70534375 |
transcript.pyannote[2113].speaker |
SPEAKER_04 |
transcript.pyannote[2113].start |
15043.73909375 |
transcript.pyannote[2113].end |
15049.39221875 |
transcript.pyannote[2114].speaker |
SPEAKER_04 |
transcript.pyannote[2114].start |
15049.84784375 |
transcript.pyannote[2114].end |
15068.32596875 |
transcript.pyannote[2115].speaker |
SPEAKER_04 |
transcript.pyannote[2115].start |
15068.79846875 |
transcript.pyannote[2115].end |
15071.73471875 |
transcript.pyannote[2116].speaker |
SPEAKER_04 |
transcript.pyannote[2116].start |
15072.24096875 |
transcript.pyannote[2116].end |
15079.14284375 |
transcript.pyannote[2117].speaker |
SPEAKER_36 |
transcript.pyannote[2117].start |
15079.21034375 |
transcript.pyannote[2117].end |
15083.49659375 |
transcript.pyannote[2118].speaker |
SPEAKER_04 |
transcript.pyannote[2118].start |
15080.17221875 |
transcript.pyannote[2118].end |
15080.49284375 |
transcript.pyannote[2119].speaker |
SPEAKER_57 |
transcript.pyannote[2119].start |
15084.54284375 |
transcript.pyannote[2119].end |
15126.66284375 |
transcript.pyannote[2120].speaker |
SPEAKER_57 |
transcript.pyannote[2120].start |
15126.91596875 |
transcript.pyannote[2120].end |
15157.00409375 |
transcript.pyannote[2121].speaker |
SPEAKER_04 |
transcript.pyannote[2121].start |
15157.00409375 |
transcript.pyannote[2121].end |
15161.54346875 |
transcript.pyannote[2122].speaker |
SPEAKER_57 |
transcript.pyannote[2122].start |
15161.29034375 |
transcript.pyannote[2122].end |
15161.50971875 |
transcript.pyannote[2123].speaker |
SPEAKER_57 |
transcript.pyannote[2123].start |
15161.54346875 |
transcript.pyannote[2123].end |
15161.72909375 |
transcript.pyannote[2124].speaker |
SPEAKER_04 |
transcript.pyannote[2124].start |
15161.72909375 |
transcript.pyannote[2124].end |
15161.76284375 |
transcript.pyannote[2125].speaker |
SPEAKER_57 |
transcript.pyannote[2125].start |
15161.76284375 |
transcript.pyannote[2125].end |
15161.77971875 |
transcript.pyannote[2126].speaker |
SPEAKER_04 |
transcript.pyannote[2126].start |
15161.77971875 |
transcript.pyannote[2126].end |
15169.82909375 |
transcript.pyannote[2127].speaker |
SPEAKER_57 |
transcript.pyannote[2127].start |
15161.79659375 |
transcript.pyannote[2127].end |
15162.13409375 |
transcript.pyannote[2128].speaker |
SPEAKER_59 |
transcript.pyannote[2128].start |
15162.13409375 |
transcript.pyannote[2128].end |
15162.15096875 |
transcript.pyannote[2129].speaker |
SPEAKER_04 |
transcript.pyannote[2129].start |
15170.33534375 |
transcript.pyannote[2129].end |
15170.79096875 |
transcript.pyannote[2130].speaker |
SPEAKER_57 |
transcript.pyannote[2130].start |
15171.02721875 |
transcript.pyannote[2130].end |
15177.18659375 |
transcript.pyannote[2131].speaker |
SPEAKER_04 |
transcript.pyannote[2131].start |
15171.97221875 |
transcript.pyannote[2131].end |
15172.02284375 |
transcript.pyannote[2132].speaker |
SPEAKER_57 |
transcript.pyannote[2132].start |
15177.42284375 |
transcript.pyannote[2132].end |
15179.16096875 |
transcript.pyannote[2133].speaker |
SPEAKER_04 |
transcript.pyannote[2133].start |
15179.16096875 |
transcript.pyannote[2133].end |
15197.55471875 |
transcript.pyannote[2134].speaker |
SPEAKER_57 |
transcript.pyannote[2134].start |
15184.20659375 |
transcript.pyannote[2134].end |
15186.83909375 |
transcript.pyannote[2135].speaker |
SPEAKER_57 |
transcript.pyannote[2135].start |
15190.21409375 |
transcript.pyannote[2135].end |
15190.72034375 |
transcript.pyannote[2136].speaker |
SPEAKER_57 |
transcript.pyannote[2136].start |
15197.04846875 |
transcript.pyannote[2136].end |
15208.47284375 |
transcript.pyannote[2137].speaker |
SPEAKER_04 |
transcript.pyannote[2137].start |
15207.49409375 |
transcript.pyannote[2137].end |
15213.14721875 |
transcript.pyannote[2138].speaker |
SPEAKER_57 |
transcript.pyannote[2138].start |
15210.81846875 |
transcript.pyannote[2138].end |
15211.20659375 |
transcript.pyannote[2139].speaker |
SPEAKER_57 |
transcript.pyannote[2139].start |
15212.16846875 |
transcript.pyannote[2139].end |
15213.09659375 |
transcript.pyannote[2140].speaker |
SPEAKER_57 |
transcript.pyannote[2140].start |
15213.14721875 |
transcript.pyannote[2140].end |
15213.58596875 |
transcript.pyannote[2141].speaker |
SPEAKER_04 |
transcript.pyannote[2141].start |
15213.58596875 |
transcript.pyannote[2141].end |
15213.95721875 |
transcript.pyannote[2142].speaker |
SPEAKER_43 |
transcript.pyannote[2142].start |
15216.50534375 |
transcript.pyannote[2142].end |
15223.23846875 |
transcript.pyannote[2143].speaker |
SPEAKER_43 |
transcript.pyannote[2143].start |
17947.74096875 |
transcript.pyannote[2143].end |
17949.95159375 |
transcript.pyannote[2144].speaker |
SPEAKER_43 |
transcript.pyannote[2144].start |
17950.18784375 |
transcript.pyannote[2144].end |
17951.04846875 |
transcript.pyannote[2145].speaker |
SPEAKER_43 |
transcript.pyannote[2145].start |
17954.30534375 |
transcript.pyannote[2145].end |
17956.24596875 |
transcript.pyannote[2146].speaker |
SPEAKER_43 |
transcript.pyannote[2146].start |
17957.79846875 |
transcript.pyannote[2146].end |
17964.83534375 |
transcript.pyannote[2147].speaker |
SPEAKER_11 |
transcript.pyannote[2147].start |
17975.19659375 |
transcript.pyannote[2147].end |
17976.47909375 |
transcript.pyannote[2148].speaker |
SPEAKER_11 |
transcript.pyannote[2148].start |
17977.47471875 |
transcript.pyannote[2148].end |
17978.53784375 |
transcript.pyannote[2149].speaker |
SPEAKER_11 |
transcript.pyannote[2149].start |
17979.07784375 |
transcript.pyannote[2149].end |
17981.49096875 |
transcript.pyannote[2150].speaker |
SPEAKER_11 |
transcript.pyannote[2150].start |
17982.55409375 |
transcript.pyannote[2150].end |
17983.38096875 |
transcript.pyannote[2151].speaker |
SPEAKER_40 |
transcript.pyannote[2151].start |
17983.38096875 |
transcript.pyannote[2151].end |
17983.39784375 |
transcript.pyannote[2152].speaker |
SPEAKER_11 |
transcript.pyannote[2152].start |
17983.39784375 |
transcript.pyannote[2152].end |
17983.44846875 |
transcript.pyannote[2153].speaker |
SPEAKER_11 |
transcript.pyannote[2153].start |
17983.98846875 |
transcript.pyannote[2153].end |
17984.59596875 |
transcript.pyannote[2154].speaker |
SPEAKER_40 |
transcript.pyannote[2154].start |
17985.18659375 |
transcript.pyannote[2154].end |
17986.21596875 |
transcript.pyannote[2155].speaker |
SPEAKER_11 |
transcript.pyannote[2155].start |
17985.89534375 |
transcript.pyannote[2155].end |
17985.94596875 |
transcript.pyannote[2156].speaker |
SPEAKER_11 |
transcript.pyannote[2156].start |
17986.21596875 |
transcript.pyannote[2156].end |
17986.28346875 |
transcript.pyannote[2157].speaker |
SPEAKER_40 |
transcript.pyannote[2157].start |
17986.97534375 |
transcript.pyannote[2157].end |
17987.83596875 |
transcript.pyannote[2158].speaker |
SPEAKER_11 |
transcript.pyannote[2158].start |
17988.12284375 |
transcript.pyannote[2158].end |
17988.49409375 |
transcript.pyannote[2159].speaker |
SPEAKER_40 |
transcript.pyannote[2159].start |
17988.76409375 |
transcript.pyannote[2159].end |
17989.01721875 |
transcript.pyannote[2160].speaker |
SPEAKER_44 |
transcript.pyannote[2160].start |
17989.01721875 |
transcript.pyannote[2160].end |
17989.03409375 |
transcript.pyannote[2161].speaker |
SPEAKER_11 |
transcript.pyannote[2161].start |
17989.50659375 |
transcript.pyannote[2161].end |
17990.14784375 |
transcript.pyannote[2162].speaker |
SPEAKER_40 |
transcript.pyannote[2162].start |
17990.23221875 |
transcript.pyannote[2162].end |
17990.24909375 |
transcript.pyannote[2163].speaker |
SPEAKER_44 |
transcript.pyannote[2163].start |
17990.24909375 |
transcript.pyannote[2163].end |
17990.89034375 |
transcript.pyannote[2164].speaker |
SPEAKER_40 |
transcript.pyannote[2164].start |
17990.89034375 |
transcript.pyannote[2164].end |
17990.90721875 |
transcript.pyannote[2165].speaker |
SPEAKER_44 |
transcript.pyannote[2165].start |
17990.90721875 |
transcript.pyannote[2165].end |
17990.92409375 |
transcript.pyannote[2166].speaker |
SPEAKER_44 |
transcript.pyannote[2166].start |
17991.43034375 |
transcript.pyannote[2166].end |
17992.22346875 |
transcript.pyannote[2167].speaker |
SPEAKER_11 |
transcript.pyannote[2167].start |
17991.68346875 |
transcript.pyannote[2167].end |
17992.64534375 |
transcript.pyannote[2168].speaker |
SPEAKER_44 |
transcript.pyannote[2168].start |
17992.89846875 |
transcript.pyannote[2168].end |
17993.52284375 |
transcript.pyannote[2169].speaker |
SPEAKER_11 |
transcript.pyannote[2169].start |
17993.62409375 |
transcript.pyannote[2169].end |
17994.19784375 |
transcript.pyannote[2170].speaker |
SPEAKER_11 |
transcript.pyannote[2170].start |
18006.80346875 |
transcript.pyannote[2170].end |
18007.22534375 |
transcript.pyannote[2171].speaker |
SPEAKER_11 |
transcript.pyannote[2171].start |
18008.03534375 |
transcript.pyannote[2171].end |
18008.54159375 |
transcript.pyannote[2172].speaker |
SPEAKER_11 |
transcript.pyannote[2172].start |
18009.63846875 |
transcript.pyannote[2172].end |
18015.08909375 |
transcript.pyannote[2173].speaker |
SPEAKER_11 |
transcript.pyannote[2173].start |
18015.19034375 |
transcript.pyannote[2173].end |
18015.96659375 |
transcript.pyannote[2174].speaker |
SPEAKER_37 |
transcript.pyannote[2174].start |
18015.96659375 |
transcript.pyannote[2174].end |
18024.35346875 |
transcript.pyannote[2175].speaker |
SPEAKER_37 |
transcript.pyannote[2175].start |
18024.58971875 |
transcript.pyannote[2175].end |
18032.16659375 |
transcript.pyannote[2176].speaker |
SPEAKER_37 |
transcript.pyannote[2176].start |
18032.74034375 |
transcript.pyannote[2176].end |
18035.65971875 |
transcript.pyannote[2177].speaker |
SPEAKER_37 |
transcript.pyannote[2177].start |
18036.41909375 |
transcript.pyannote[2177].end |
18037.88721875 |
transcript.pyannote[2178].speaker |
SPEAKER_37 |
transcript.pyannote[2178].start |
18038.79846875 |
transcript.pyannote[2178].end |
18040.11471875 |
transcript.pyannote[2179].speaker |
SPEAKER_37 |
transcript.pyannote[2179].start |
18040.75596875 |
transcript.pyannote[2179].end |
18045.64971875 |
transcript.pyannote[2180].speaker |
SPEAKER_37 |
transcript.pyannote[2180].start |
18046.64534375 |
transcript.pyannote[2180].end |
18049.00784375 |
transcript.pyannote[2181].speaker |
SPEAKER_37 |
transcript.pyannote[2181].start |
18049.34534375 |
transcript.pyannote[2181].end |
18069.56159375 |
transcript.pyannote[2182].speaker |
SPEAKER_37 |
transcript.pyannote[2182].start |
18069.86534375 |
transcript.pyannote[2182].end |
18079.80471875 |
transcript.pyannote[2183].speaker |
SPEAKER_37 |
transcript.pyannote[2183].start |
18080.20971875 |
transcript.pyannote[2183].end |
18089.50784375 |
transcript.pyannote[2184].speaker |
SPEAKER_37 |
transcript.pyannote[2184].start |
18090.16596875 |
transcript.pyannote[2184].end |
18095.07659375 |
transcript.pyannote[2185].speaker |
SPEAKER_37 |
transcript.pyannote[2185].start |
18095.61659375 |
transcript.pyannote[2185].end |
18122.27909375 |
transcript.pyannote[2186].speaker |
SPEAKER_37 |
transcript.pyannote[2186].start |
18122.34659375 |
transcript.pyannote[2186].end |
18124.08471875 |
transcript.pyannote[2187].speaker |
SPEAKER_37 |
transcript.pyannote[2187].start |
18124.60784375 |
transcript.pyannote[2187].end |
18126.02534375 |
transcript.pyannote[2188].speaker |
SPEAKER_37 |
transcript.pyannote[2188].start |
18126.51471875 |
transcript.pyannote[2188].end |
18127.93221875 |
transcript.pyannote[2189].speaker |
SPEAKER_37 |
transcript.pyannote[2189].start |
18128.42159375 |
transcript.pyannote[2189].end |
18131.84721875 |
transcript.pyannote[2190].speaker |
SPEAKER_54 |
transcript.pyannote[2190].start |
18133.72034375 |
transcript.pyannote[2190].end |
18168.46596875 |
transcript.pyannote[2191].speaker |
SPEAKER_00 |
transcript.pyannote[2191].start |
18147.27096875 |
transcript.pyannote[2191].end |
18147.28784375 |
transcript.pyannote[2192].speaker |
SPEAKER_08 |
transcript.pyannote[2192].start |
18147.28784375 |
transcript.pyannote[2192].end |
18147.49034375 |
transcript.pyannote[2193].speaker |
SPEAKER_00 |
transcript.pyannote[2193].start |
18147.49034375 |
transcript.pyannote[2193].end |
18147.50721875 |
transcript.pyannote[2194].speaker |
SPEAKER_12 |
transcript.pyannote[2194].start |
18168.66846875 |
transcript.pyannote[2194].end |
18168.68534375 |
transcript.pyannote[2195].speaker |
SPEAKER_37 |
transcript.pyannote[2195].start |
18168.68534375 |
transcript.pyannote[2195].end |
18169.12409375 |
transcript.pyannote[2196].speaker |
SPEAKER_12 |
transcript.pyannote[2196].start |
18169.34346875 |
transcript.pyannote[2196].end |
18169.39409375 |
transcript.pyannote[2197].speaker |
SPEAKER_37 |
transcript.pyannote[2197].start |
18169.39409375 |
transcript.pyannote[2197].end |
18217.94346875 |
transcript.pyannote[2198].speaker |
SPEAKER_37 |
transcript.pyannote[2198].start |
18218.26409375 |
transcript.pyannote[2198].end |
18227.83221875 |
transcript.pyannote[2199].speaker |
SPEAKER_37 |
transcript.pyannote[2199].start |
18227.91659375 |
transcript.pyannote[2199].end |
18244.82534375 |
transcript.pyannote[2200].speaker |
SPEAKER_37 |
transcript.pyannote[2200].start |
18245.09534375 |
transcript.pyannote[2200].end |
18269.90159375 |
transcript.pyannote[2201].speaker |
SPEAKER_54 |
transcript.pyannote[2201].start |
18270.22221875 |
transcript.pyannote[2201].end |
18288.66659375 |
transcript.pyannote[2202].speaker |
SPEAKER_00 |
transcript.pyannote[2202].start |
18280.92096875 |
transcript.pyannote[2202].end |
18280.97159375 |
transcript.pyannote[2203].speaker |
SPEAKER_37 |
transcript.pyannote[2203].start |
18280.97159375 |
transcript.pyannote[2203].end |
18281.00534375 |
transcript.pyannote[2204].speaker |
SPEAKER_01 |
transcript.pyannote[2204].start |
18281.00534375 |
transcript.pyannote[2204].end |
18281.03909375 |
transcript.pyannote[2205].speaker |
SPEAKER_37 |
transcript.pyannote[2205].start |
18281.03909375 |
transcript.pyannote[2205].end |
18281.78159375 |
transcript.pyannote[2206].speaker |
SPEAKER_00 |
transcript.pyannote[2206].start |
18281.78159375 |
transcript.pyannote[2206].end |
18281.79846875 |
transcript.pyannote[2207].speaker |
SPEAKER_37 |
transcript.pyannote[2207].start |
18282.37221875 |
transcript.pyannote[2207].end |
18282.74346875 |
transcript.pyannote[2208].speaker |
SPEAKER_37 |
transcript.pyannote[2208].start |
18284.97096875 |
transcript.pyannote[2208].end |
18285.44346875 |
transcript.pyannote[2209].speaker |
SPEAKER_37 |
transcript.pyannote[2209].start |
18286.38846875 |
transcript.pyannote[2209].end |
18287.01284375 |
transcript.pyannote[2210].speaker |
SPEAKER_37 |
transcript.pyannote[2210].start |
18287.26596875 |
transcript.pyannote[2210].end |
18331.09034375 |
transcript.pyannote[2211].speaker |
SPEAKER_37 |
transcript.pyannote[2211].start |
18331.41096875 |
transcript.pyannote[2211].end |
18351.72846875 |
transcript.pyannote[2212].speaker |
SPEAKER_58 |
transcript.pyannote[2212].start |
18342.37971875 |
transcript.pyannote[2212].end |
18343.35846875 |
transcript.pyannote[2213].speaker |
SPEAKER_43 |
transcript.pyannote[2213].start |
18352.47096875 |
transcript.pyannote[2213].end |
18358.32659375 |
transcript.pyannote[2214].speaker |
SPEAKER_43 |
transcript.pyannote[2214].start |
18358.86659375 |
transcript.pyannote[2214].end |
18364.51971875 |
transcript.pyannote[2215].speaker |
SPEAKER_22 |
transcript.pyannote[2215].start |
18371.80971875 |
transcript.pyannote[2215].end |
18374.30721875 |
transcript.pyannote[2216].speaker |
SPEAKER_22 |
transcript.pyannote[2216].start |
18374.67846875 |
transcript.pyannote[2216].end |
18378.93096875 |
transcript.pyannote[2217].speaker |
SPEAKER_44 |
transcript.pyannote[2217].start |
18379.53846875 |
transcript.pyannote[2217].end |
18381.44534375 |
transcript.pyannote[2218].speaker |
SPEAKER_44 |
transcript.pyannote[2218].start |
18383.82471875 |
transcript.pyannote[2218].end |
18383.84159375 |
transcript.pyannote[2219].speaker |
SPEAKER_22 |
transcript.pyannote[2219].start |
18383.84159375 |
transcript.pyannote[2219].end |
18384.49971875 |
transcript.pyannote[2220].speaker |
SPEAKER_22 |
transcript.pyannote[2220].start |
18386.00159375 |
transcript.pyannote[2220].end |
18403.63596875 |
transcript.pyannote[2221].speaker |
SPEAKER_44 |
transcript.pyannote[2221].start |
18386.86221875 |
transcript.pyannote[2221].end |
18387.28409375 |
transcript.pyannote[2222].speaker |
SPEAKER_22 |
transcript.pyannote[2222].start |
18404.15909375 |
transcript.pyannote[2222].end |
18410.20034375 |
transcript.pyannote[2223].speaker |
SPEAKER_22 |
transcript.pyannote[2223].start |
18410.60534375 |
transcript.pyannote[2223].end |
18413.99721875 |
transcript.pyannote[2224].speaker |
SPEAKER_22 |
transcript.pyannote[2224].start |
18414.53721875 |
transcript.pyannote[2224].end |
18420.71346875 |
transcript.pyannote[2225].speaker |
SPEAKER_22 |
transcript.pyannote[2225].start |
18421.03409375 |
transcript.pyannote[2225].end |
18422.95784375 |
transcript.pyannote[2226].speaker |
SPEAKER_22 |
transcript.pyannote[2226].start |
18423.19409375 |
transcript.pyannote[2226].end |
18453.02909375 |
transcript.pyannote[2227].speaker |
SPEAKER_22 |
transcript.pyannote[2227].start |
18453.24846875 |
transcript.pyannote[2227].end |
18459.13784375 |
transcript.pyannote[2228].speaker |
SPEAKER_22 |
transcript.pyannote[2228].start |
18459.47534375 |
transcript.pyannote[2228].end |
18463.91346875 |
transcript.pyannote[2229].speaker |
SPEAKER_22 |
transcript.pyannote[2229].start |
18464.20034375 |
transcript.pyannote[2229].end |
18480.04596875 |
transcript.pyannote[2230].speaker |
SPEAKER_22 |
transcript.pyannote[2230].start |
18480.33284375 |
transcript.pyannote[2230].end |
18481.56471875 |
transcript.pyannote[2231].speaker |
SPEAKER_22 |
transcript.pyannote[2231].start |
18482.27346875 |
transcript.pyannote[2231].end |
18482.49284375 |
transcript.pyannote[2232].speaker |
SPEAKER_21 |
transcript.pyannote[2232].start |
18482.49284375 |
transcript.pyannote[2232].end |
18482.72909375 |
transcript.pyannote[2233].speaker |
SPEAKER_22 |
transcript.pyannote[2233].start |
18482.89784375 |
transcript.pyannote[2233].end |
18483.97784375 |
transcript.pyannote[2234].speaker |
SPEAKER_21 |
transcript.pyannote[2234].start |
18483.97784375 |
transcript.pyannote[2234].end |
18486.13784375 |
transcript.pyannote[2235].speaker |
SPEAKER_21 |
transcript.pyannote[2235].start |
18486.54284375 |
transcript.pyannote[2235].end |
18487.08284375 |
transcript.pyannote[2236].speaker |
SPEAKER_21 |
transcript.pyannote[2236].start |
18487.21784375 |
transcript.pyannote[2236].end |
18498.74346875 |
transcript.pyannote[2237].speaker |
SPEAKER_22 |
transcript.pyannote[2237].start |
18498.74346875 |
transcript.pyannote[2237].end |
18498.79409375 |
transcript.pyannote[2238].speaker |
SPEAKER_21 |
transcript.pyannote[2238].start |
18499.24971875 |
transcript.pyannote[2238].end |
18499.26659375 |
transcript.pyannote[2239].speaker |
SPEAKER_22 |
transcript.pyannote[2239].start |
18499.26659375 |
transcript.pyannote[2239].end |
18538.07909375 |
transcript.pyannote[2240].speaker |
SPEAKER_22 |
transcript.pyannote[2240].start |
18538.48409375 |
transcript.pyannote[2240].end |
18540.40784375 |
transcript.pyannote[2241].speaker |
SPEAKER_22 |
transcript.pyannote[2241].start |
18540.81284375 |
transcript.pyannote[2241].end |
18542.68596875 |
transcript.pyannote[2242].speaker |
SPEAKER_22 |
transcript.pyannote[2242].start |
18543.19221875 |
transcript.pyannote[2242].end |
18543.71534375 |
transcript.pyannote[2243].speaker |
SPEAKER_22 |
transcript.pyannote[2243].start |
18544.22159375 |
transcript.pyannote[2243].end |
18547.86659375 |
transcript.pyannote[2244].speaker |
SPEAKER_22 |
transcript.pyannote[2244].start |
18548.23784375 |
transcript.pyannote[2244].end |
18552.72659375 |
transcript.pyannote[2245].speaker |
SPEAKER_22 |
transcript.pyannote[2245].start |
18553.18221875 |
transcript.pyannote[2245].end |
18558.83534375 |
transcript.pyannote[2246].speaker |
SPEAKER_22 |
transcript.pyannote[2246].start |
18559.22346875 |
transcript.pyannote[2246].end |
18564.21846875 |
transcript.pyannote[2247].speaker |
SPEAKER_22 |
transcript.pyannote[2247].start |
18564.40409375 |
transcript.pyannote[2247].end |
18569.80409375 |
transcript.pyannote[2248].speaker |
SPEAKER_22 |
transcript.pyannote[2248].start |
18570.14159375 |
transcript.pyannote[2248].end |
18572.75721875 |
transcript.pyannote[2249].speaker |
SPEAKER_22 |
transcript.pyannote[2249].start |
18573.28034375 |
transcript.pyannote[2249].end |
18575.06909375 |
transcript.pyannote[2250].speaker |
SPEAKER_22 |
transcript.pyannote[2250].start |
18576.58784375 |
transcript.pyannote[2250].end |
18577.09409375 |
transcript.pyannote[2251].speaker |
SPEAKER_22 |
transcript.pyannote[2251].start |
18577.29659375 |
transcript.pyannote[2251].end |
18579.06846875 |
transcript.pyannote[2252].speaker |
SPEAKER_22 |
transcript.pyannote[2252].start |
18579.55784375 |
transcript.pyannote[2252].end |
18580.58721875 |
transcript.pyannote[2253].speaker |
SPEAKER_22 |
transcript.pyannote[2253].start |
18581.34659375 |
transcript.pyannote[2253].end |
18581.95409375 |
transcript.pyannote[2254].speaker |
SPEAKER_22 |
transcript.pyannote[2254].start |
18582.52784375 |
transcript.pyannote[2254].end |
18586.89846875 |
transcript.pyannote[2255].speaker |
SPEAKER_22 |
transcript.pyannote[2255].start |
18587.84346875 |
transcript.pyannote[2255].end |
18593.64846875 |
transcript.pyannote[2256].speaker |
SPEAKER_22 |
transcript.pyannote[2256].start |
18593.88471875 |
transcript.pyannote[2256].end |
18612.02534375 |
transcript.pyannote[2257].speaker |
SPEAKER_22 |
transcript.pyannote[2257].start |
18612.22784375 |
transcript.pyannote[2257].end |
18617.30721875 |
transcript.pyannote[2258].speaker |
SPEAKER_22 |
transcript.pyannote[2258].start |
18618.01596875 |
transcript.pyannote[2258].end |
18643.80096875 |
transcript.pyannote[2259].speaker |
SPEAKER_22 |
transcript.pyannote[2259].start |
18644.39159375 |
transcript.pyannote[2259].end |
18644.81346875 |
transcript.pyannote[2260].speaker |
SPEAKER_22 |
transcript.pyannote[2260].start |
18645.25221875 |
transcript.pyannote[2260].end |
18647.29409375 |
transcript.pyannote[2261].speaker |
SPEAKER_22 |
transcript.pyannote[2261].start |
18647.58096875 |
transcript.pyannote[2261].end |
18668.15159375 |
transcript.pyannote[2262].speaker |
SPEAKER_22 |
transcript.pyannote[2262].start |
18668.87721875 |
transcript.pyannote[2262].end |
18669.99096875 |
transcript.pyannote[2263].speaker |
SPEAKER_47 |
transcript.pyannote[2263].start |
18671.29034375 |
transcript.pyannote[2263].end |
18671.40846875 |
transcript.pyannote[2264].speaker |
SPEAKER_22 |
transcript.pyannote[2264].start |
18671.40846875 |
transcript.pyannote[2264].end |
18695.99534375 |
transcript.pyannote[2265].speaker |
SPEAKER_22 |
transcript.pyannote[2265].start |
18696.53534375 |
transcript.pyannote[2265].end |
18703.21784375 |
transcript.pyannote[2266].speaker |
SPEAKER_59 |
transcript.pyannote[2266].start |
18702.57659375 |
transcript.pyannote[2266].end |
18703.45409375 |
transcript.pyannote[2267].speaker |
SPEAKER_22 |
transcript.pyannote[2267].start |
18703.45409375 |
transcript.pyannote[2267].end |
18710.13659375 |
transcript.pyannote[2268].speaker |
SPEAKER_59 |
transcript.pyannote[2268].start |
18703.74096875 |
transcript.pyannote[2268].end |
18704.41596875 |
transcript.pyannote[2269].speaker |
SPEAKER_22 |
transcript.pyannote[2269].start |
18710.84534375 |
transcript.pyannote[2269].end |
18730.30221875 |
transcript.pyannote[2270].speaker |
SPEAKER_22 |
transcript.pyannote[2270].start |
18730.74096875 |
transcript.pyannote[2270].end |
18756.61034375 |
transcript.pyannote[2271].speaker |
SPEAKER_47 |
transcript.pyannote[2271].start |
18756.61034375 |
transcript.pyannote[2271].end |
18766.90409375 |
transcript.pyannote[2272].speaker |
SPEAKER_22 |
transcript.pyannote[2272].start |
18766.36409375 |
transcript.pyannote[2272].end |
18782.90159375 |
transcript.pyannote[2273].speaker |
SPEAKER_47 |
transcript.pyannote[2273].start |
18770.32971875 |
transcript.pyannote[2273].end |
18771.37596875 |
transcript.pyannote[2274].speaker |
SPEAKER_00 |
transcript.pyannote[2274].start |
18773.97471875 |
transcript.pyannote[2274].end |
18773.99159375 |
transcript.pyannote[2275].speaker |
SPEAKER_39 |
transcript.pyannote[2275].start |
18773.99159375 |
transcript.pyannote[2275].end |
18775.56096875 |
transcript.pyannote[2276].speaker |
SPEAKER_43 |
transcript.pyannote[2276].start |
18782.90159375 |
transcript.pyannote[2276].end |
18782.95221875 |
transcript.pyannote[2277].speaker |
SPEAKER_22 |
transcript.pyannote[2277].start |
18782.95221875 |
transcript.pyannote[2277].end |
18783.05346875 |
transcript.pyannote[2278].speaker |
SPEAKER_43 |
transcript.pyannote[2278].start |
18783.05346875 |
transcript.pyannote[2278].end |
18783.07034375 |
transcript.pyannote[2279].speaker |
SPEAKER_43 |
transcript.pyannote[2279].start |
18783.13784375 |
transcript.pyannote[2279].end |
18786.25971875 |
transcript.pyannote[2280].speaker |
SPEAKER_43 |
transcript.pyannote[2280].start |
18787.22159375 |
transcript.pyannote[2280].end |
18789.68534375 |
transcript.pyannote[2281].speaker |
SPEAKER_49 |
transcript.pyannote[2281].start |
18797.11034375 |
transcript.pyannote[2281].end |
18800.40096875 |
transcript.pyannote[2282].speaker |
SPEAKER_43 |
transcript.pyannote[2282].start |
18800.95784375 |
transcript.pyannote[2282].end |
18801.98721875 |
transcript.pyannote[2283].speaker |
SPEAKER_49 |
transcript.pyannote[2283].start |
18807.52221875 |
transcript.pyannote[2283].end |
18840.07409375 |
transcript.pyannote[2284].speaker |
SPEAKER_50 |
transcript.pyannote[2284].start |
18809.07471875 |
transcript.pyannote[2284].end |
18809.26034375 |
transcript.pyannote[2285].speaker |
SPEAKER_07 |
transcript.pyannote[2285].start |
18809.26034375 |
transcript.pyannote[2285].end |
18809.27721875 |
transcript.pyannote[2286].speaker |
SPEAKER_49 |
transcript.pyannote[2286].start |
18841.10346875 |
transcript.pyannote[2286].end |
18843.02721875 |
transcript.pyannote[2287].speaker |
SPEAKER_47 |
transcript.pyannote[2287].start |
18843.02721875 |
transcript.pyannote[2287].end |
18843.58409375 |
transcript.pyannote[2288].speaker |
SPEAKER_49 |
transcript.pyannote[2288].start |
18843.58409375 |
transcript.pyannote[2288].end |
18845.82846875 |
transcript.pyannote[2289].speaker |
SPEAKER_47 |
transcript.pyannote[2289].start |
18843.60096875 |
transcript.pyannote[2289].end |
18843.73596875 |
transcript.pyannote[2290].speaker |
SPEAKER_47 |
transcript.pyannote[2290].start |
18845.82846875 |
transcript.pyannote[2290].end |
18846.03096875 |
transcript.pyannote[2291].speaker |
SPEAKER_39 |
transcript.pyannote[2291].start |
18846.03096875 |
transcript.pyannote[2291].end |
18846.04784375 |
transcript.pyannote[2292].speaker |
SPEAKER_47 |
transcript.pyannote[2292].start |
18846.04784375 |
transcript.pyannote[2292].end |
18846.06471875 |
transcript.pyannote[2293].speaker |
SPEAKER_39 |
transcript.pyannote[2293].start |
18846.06471875 |
transcript.pyannote[2293].end |
18846.09846875 |
transcript.pyannote[2294].speaker |
SPEAKER_47 |
transcript.pyannote[2294].start |
18846.09846875 |
transcript.pyannote[2294].end |
18846.14909375 |
transcript.pyannote[2295].speaker |
SPEAKER_49 |
transcript.pyannote[2295].start |
18846.13221875 |
transcript.pyannote[2295].end |
18862.56846875 |
transcript.pyannote[2296].speaker |
SPEAKER_39 |
transcript.pyannote[2296].start |
18846.14909375 |
transcript.pyannote[2296].end |
18846.19971875 |
transcript.pyannote[2297].speaker |
SPEAKER_47 |
transcript.pyannote[2297].start |
18846.19971875 |
transcript.pyannote[2297].end |
18846.31784375 |
transcript.pyannote[2298].speaker |
SPEAKER_49 |
transcript.pyannote[2298].start |
18863.09159375 |
transcript.pyannote[2298].end |
18868.60971875 |
transcript.pyannote[2299].speaker |
SPEAKER_47 |
transcript.pyannote[2299].start |
18870.06096875 |
transcript.pyannote[2299].end |
18874.73534375 |
transcript.pyannote[2300].speaker |
SPEAKER_47 |
transcript.pyannote[2300].start |
18874.95471875 |
transcript.pyannote[2300].end |
18879.73034375 |
transcript.pyannote[2301].speaker |
SPEAKER_00 |
transcript.pyannote[2301].start |
18879.03846875 |
transcript.pyannote[2301].end |
18879.13971875 |
transcript.pyannote[2302].speaker |
SPEAKER_43 |
transcript.pyannote[2302].start |
18879.13971875 |
transcript.pyannote[2302].end |
18879.54471875 |
transcript.pyannote[2303].speaker |
SPEAKER_00 |
transcript.pyannote[2303].start |
18879.54471875 |
transcript.pyannote[2303].end |
18879.62909375 |
transcript.pyannote[2304].speaker |
SPEAKER_47 |
transcript.pyannote[2304].start |
18879.83159375 |
transcript.pyannote[2304].end |
18898.71471875 |
transcript.pyannote[2305].speaker |
SPEAKER_00 |
transcript.pyannote[2305].start |
18882.85221875 |
transcript.pyannote[2305].end |
18883.51034375 |
transcript.pyannote[2306].speaker |
SPEAKER_00 |
transcript.pyannote[2306].start |
18885.46784375 |
transcript.pyannote[2306].end |
18886.02471875 |
transcript.pyannote[2307].speaker |
SPEAKER_49 |
transcript.pyannote[2307].start |
18886.02471875 |
transcript.pyannote[2307].end |
18886.61534375 |
transcript.pyannote[2308].speaker |
SPEAKER_00 |
transcript.pyannote[2308].start |
18886.61534375 |
transcript.pyannote[2308].end |
18886.91909375 |
transcript.pyannote[2309].speaker |
SPEAKER_00 |
transcript.pyannote[2309].start |
18886.93596875 |
transcript.pyannote[2309].end |
18886.96971875 |
transcript.pyannote[2310].speaker |
SPEAKER_49 |
transcript.pyannote[2310].start |
18898.71471875 |
transcript.pyannote[2310].end |
18899.25471875 |
transcript.pyannote[2311].speaker |
SPEAKER_47 |
transcript.pyannote[2311].start |
18898.73159375 |
transcript.pyannote[2311].end |
18899.06909375 |
transcript.pyannote[2312].speaker |
SPEAKER_47 |
transcript.pyannote[2312].start |
18899.25471875 |
transcript.pyannote[2312].end |
18899.96346875 |
transcript.pyannote[2313].speaker |
SPEAKER_49 |
transcript.pyannote[2313].start |
18899.96346875 |
transcript.pyannote[2313].end |
18905.02596875 |
transcript.pyannote[2314].speaker |
SPEAKER_47 |
transcript.pyannote[2314].start |
18905.02596875 |
transcript.pyannote[2314].end |
18912.85596875 |
transcript.pyannote[2315].speaker |
SPEAKER_49 |
transcript.pyannote[2315].start |
18911.16846875 |
transcript.pyannote[2315].end |
18911.37096875 |
transcript.pyannote[2316].speaker |
SPEAKER_49 |
transcript.pyannote[2316].start |
18912.36659375 |
transcript.pyannote[2316].end |
18913.76721875 |
transcript.pyannote[2317].speaker |
SPEAKER_47 |
transcript.pyannote[2317].start |
18913.76721875 |
transcript.pyannote[2317].end |
18913.85159375 |
transcript.pyannote[2318].speaker |
SPEAKER_49 |
transcript.pyannote[2318].start |
18913.85159375 |
transcript.pyannote[2318].end |
18914.23971875 |
transcript.pyannote[2319].speaker |
SPEAKER_47 |
transcript.pyannote[2319].start |
18914.23971875 |
transcript.pyannote[2319].end |
18914.44221875 |
transcript.pyannote[2320].speaker |
SPEAKER_49 |
transcript.pyannote[2320].start |
18914.44221875 |
transcript.pyannote[2320].end |
18920.95596875 |
transcript.pyannote[2321].speaker |
SPEAKER_49 |
transcript.pyannote[2321].start |
18921.68159375 |
transcript.pyannote[2321].end |
18922.03596875 |
transcript.pyannote[2322].speaker |
SPEAKER_47 |
transcript.pyannote[2322].start |
18922.03596875 |
transcript.pyannote[2322].end |
18937.27409375 |
transcript.pyannote[2323].speaker |
SPEAKER_49 |
transcript.pyannote[2323].start |
18936.12659375 |
transcript.pyannote[2323].end |
18941.17221875 |
transcript.pyannote[2324].speaker |
SPEAKER_47 |
transcript.pyannote[2324].start |
18940.64909375 |
transcript.pyannote[2324].end |
18941.18909375 |
transcript.pyannote[2325].speaker |
SPEAKER_49 |
transcript.pyannote[2325].start |
18941.18909375 |
transcript.pyannote[2325].end |
18941.23971875 |
transcript.pyannote[2326].speaker |
SPEAKER_47 |
transcript.pyannote[2326].start |
18941.23971875 |
transcript.pyannote[2326].end |
18947.80409375 |
transcript.pyannote[2327].speaker |
SPEAKER_49 |
transcript.pyannote[2327].start |
18947.80409375 |
transcript.pyannote[2327].end |
18947.93909375 |
transcript.pyannote[2328].speaker |
SPEAKER_47 |
transcript.pyannote[2328].start |
18947.93909375 |
transcript.pyannote[2328].end |
18948.31034375 |
transcript.pyannote[2329].speaker |
SPEAKER_49 |
transcript.pyannote[2329].start |
18947.95596875 |
transcript.pyannote[2329].end |
18949.77846875 |
transcript.pyannote[2330].speaker |
SPEAKER_49 |
transcript.pyannote[2330].start |
18950.01471875 |
transcript.pyannote[2330].end |
18957.55784375 |
transcript.pyannote[2331].speaker |
SPEAKER_47 |
transcript.pyannote[2331].start |
18950.84159375 |
transcript.pyannote[2331].end |
18953.76096875 |
transcript.pyannote[2332].speaker |
SPEAKER_47 |
transcript.pyannote[2332].start |
18956.12346875 |
transcript.pyannote[2332].end |
18957.45659375 |
transcript.pyannote[2333].speaker |
SPEAKER_47 |
transcript.pyannote[2333].start |
18957.55784375 |
transcript.pyannote[2333].end |
18966.48471875 |
transcript.pyannote[2334].speaker |
SPEAKER_49 |
transcript.pyannote[2334].start |
18961.11846875 |
transcript.pyannote[2334].end |
18961.47284375 |
transcript.pyannote[2335].speaker |
SPEAKER_49 |
transcript.pyannote[2335].start |
18964.96596875 |
transcript.pyannote[2335].end |
18966.82221875 |
transcript.pyannote[2336].speaker |
SPEAKER_47 |
transcript.pyannote[2336].start |
18966.82221875 |
transcript.pyannote[2336].end |
18966.85596875 |
transcript.pyannote[2337].speaker |
SPEAKER_49 |
transcript.pyannote[2337].start |
18966.85596875 |
transcript.pyannote[2337].end |
18966.87284375 |
transcript.pyannote[2338].speaker |
SPEAKER_47 |
transcript.pyannote[2338].start |
18966.87284375 |
transcript.pyannote[2338].end |
18966.97409375 |
transcript.pyannote[2339].speaker |
SPEAKER_49 |
transcript.pyannote[2339].start |
18966.97409375 |
transcript.pyannote[2339].end |
18967.02471875 |
transcript.pyannote[2340].speaker |
SPEAKER_47 |
transcript.pyannote[2340].start |
18967.02471875 |
transcript.pyannote[2340].end |
18967.10909375 |
transcript.pyannote[2341].speaker |
SPEAKER_49 |
transcript.pyannote[2341].start |
18967.10909375 |
transcript.pyannote[2341].end |
18967.15971875 |
transcript.pyannote[2342].speaker |
SPEAKER_47 |
transcript.pyannote[2342].start |
18968.45909375 |
transcript.pyannote[2342].end |
18973.97721875 |
transcript.pyannote[2343].speaker |
SPEAKER_49 |
transcript.pyannote[2343].start |
18972.03659375 |
transcript.pyannote[2343].end |
18973.04909375 |
transcript.pyannote[2344].speaker |
SPEAKER_49 |
transcript.pyannote[2344].start |
18973.97721875 |
transcript.pyannote[2344].end |
18974.02784375 |
transcript.pyannote[2345].speaker |
SPEAKER_47 |
transcript.pyannote[2345].start |
18974.02784375 |
transcript.pyannote[2345].end |
18974.97284375 |
transcript.pyannote[2346].speaker |
SPEAKER_49 |
transcript.pyannote[2346].start |
18974.97284375 |
transcript.pyannote[2346].end |
18975.09096875 |
transcript.pyannote[2347].speaker |
SPEAKER_47 |
transcript.pyannote[2347].start |
18975.09096875 |
transcript.pyannote[2347].end |
18975.19221875 |
transcript.pyannote[2348].speaker |
SPEAKER_49 |
transcript.pyannote[2348].start |
18975.19221875 |
transcript.pyannote[2348].end |
18978.56721875 |
transcript.pyannote[2349].speaker |
SPEAKER_47 |
transcript.pyannote[2349].start |
18975.34409375 |
transcript.pyannote[2349].end |
18979.51221875 |
transcript.pyannote[2350].speaker |
SPEAKER_47 |
transcript.pyannote[2350].start |
18979.96784375 |
transcript.pyannote[2350].end |
18985.11471875 |
transcript.pyannote[2351].speaker |
SPEAKER_49 |
transcript.pyannote[2351].start |
18985.36784375 |
transcript.pyannote[2351].end |
18989.02971875 |
transcript.pyannote[2352].speaker |
SPEAKER_49 |
transcript.pyannote[2352].start |
18989.04659375 |
transcript.pyannote[2352].end |
18992.67471875 |
transcript.pyannote[2353].speaker |
SPEAKER_47 |
transcript.pyannote[2353].start |
18993.87284375 |
transcript.pyannote[2353].end |
19000.77471875 |
transcript.pyannote[2354].speaker |
SPEAKER_49 |
transcript.pyannote[2354].start |
18998.80034375 |
transcript.pyannote[2354].end |
19009.70159375 |
transcript.pyannote[2355].speaker |
SPEAKER_47 |
transcript.pyannote[2355].start |
19001.29784375 |
transcript.pyannote[2355].end |
19001.90534375 |
transcript.pyannote[2356].speaker |
SPEAKER_49 |
transcript.pyannote[2356].start |
19010.71409375 |
transcript.pyannote[2356].end |
19010.73096875 |
transcript.pyannote[2357].speaker |
SPEAKER_47 |
transcript.pyannote[2357].start |
19010.73096875 |
transcript.pyannote[2357].end |
19013.29596875 |
transcript.pyannote[2358].speaker |
SPEAKER_49 |
transcript.pyannote[2358].start |
19012.46909375 |
transcript.pyannote[2358].end |
19013.88659375 |
transcript.pyannote[2359].speaker |
SPEAKER_47 |
transcript.pyannote[2359].start |
19013.88659375 |
transcript.pyannote[2359].end |
19015.75971875 |
transcript.pyannote[2360].speaker |
SPEAKER_47 |
transcript.pyannote[2360].start |
19016.08034375 |
transcript.pyannote[2360].end |
19024.02846875 |
transcript.pyannote[2361].speaker |
SPEAKER_49 |
transcript.pyannote[2361].start |
19023.65721875 |
transcript.pyannote[2361].end |
19034.42346875 |
transcript.pyannote[2362].speaker |
SPEAKER_49 |
transcript.pyannote[2362].start |
19035.18284375 |
transcript.pyannote[2362].end |
19036.02659375 |
transcript.pyannote[2363].speaker |
SPEAKER_47 |
transcript.pyannote[2363].start |
19036.02659375 |
transcript.pyannote[2363].end |
19039.11471875 |
transcript.pyannote[2364].speaker |
SPEAKER_59 |
transcript.pyannote[2364].start |
19039.11471875 |
transcript.pyannote[2364].end |
19039.30034375 |
transcript.pyannote[2365].speaker |
SPEAKER_49 |
transcript.pyannote[2365].start |
19039.77284375 |
transcript.pyannote[2365].end |
19039.78971875 |
transcript.pyannote[2366].speaker |
SPEAKER_47 |
transcript.pyannote[2366].start |
19039.78971875 |
transcript.pyannote[2366].end |
19045.96596875 |
transcript.pyannote[2367].speaker |
SPEAKER_49 |
transcript.pyannote[2367].start |
19041.42659375 |
transcript.pyannote[2367].end |
19041.61221875 |
transcript.pyannote[2368].speaker |
SPEAKER_59 |
transcript.pyannote[2368].start |
19041.61221875 |
transcript.pyannote[2368].end |
19041.86534375 |
transcript.pyannote[2369].speaker |
SPEAKER_49 |
transcript.pyannote[2369].start |
19041.86534375 |
transcript.pyannote[2369].end |
19041.91596875 |
transcript.pyannote[2370].speaker |
SPEAKER_47 |
transcript.pyannote[2370].start |
19046.45534375 |
transcript.pyannote[2370].end |
19047.97409375 |
transcript.pyannote[2371].speaker |
SPEAKER_49 |
transcript.pyannote[2371].start |
19047.97409375 |
transcript.pyannote[2371].end |
19048.17659375 |
transcript.pyannote[2372].speaker |
SPEAKER_47 |
transcript.pyannote[2372].start |
19049.13846875 |
transcript.pyannote[2372].end |
19049.15534375 |
transcript.pyannote[2373].speaker |
SPEAKER_49 |
transcript.pyannote[2373].start |
19049.15534375 |
transcript.pyannote[2373].end |
19050.42096875 |
transcript.pyannote[2374].speaker |
SPEAKER_49 |
transcript.pyannote[2374].start |
19050.53909375 |
transcript.pyannote[2374].end |
19051.87221875 |
transcript.pyannote[2375].speaker |
SPEAKER_49 |
transcript.pyannote[2375].start |
19052.00721875 |
transcript.pyannote[2375].end |
19053.66096875 |
transcript.pyannote[2376].speaker |
SPEAKER_42 |
transcript.pyannote[2376].start |
19054.36971875 |
transcript.pyannote[2376].end |
19055.34846875 |
transcript.pyannote[2377].speaker |
SPEAKER_49 |
transcript.pyannote[2377].start |
19055.34846875 |
transcript.pyannote[2377].end |
19056.22596875 |
transcript.pyannote[2378].speaker |
SPEAKER_49 |
transcript.pyannote[2378].start |
19059.11159375 |
transcript.pyannote[2378].end |
19059.90471875 |
transcript.pyannote[2379].speaker |
SPEAKER_49 |
transcript.pyannote[2379].start |
19060.20846875 |
transcript.pyannote[2379].end |
19066.90784375 |
transcript.pyannote[2380].speaker |
SPEAKER_49 |
transcript.pyannote[2380].start |
19067.11034375 |
transcript.pyannote[2380].end |
19068.78096875 |
transcript.pyannote[2381].speaker |
SPEAKER_49 |
transcript.pyannote[2381].start |
19068.79784375 |
transcript.pyannote[2381].end |
19076.39159375 |
transcript.pyannote[2382].speaker |
SPEAKER_37 |
transcript.pyannote[2382].start |
19077.20159375 |
transcript.pyannote[2382].end |
19081.23471875 |
transcript.pyannote[2383].speaker |
SPEAKER_49 |
transcript.pyannote[2383].start |
19080.76221875 |
transcript.pyannote[2383].end |
19098.37971875 |
transcript.pyannote[2384].speaker |
SPEAKER_37 |
transcript.pyannote[2384].start |
19098.71721875 |
transcript.pyannote[2384].end |
19114.10721875 |
transcript.pyannote[2385].speaker |
SPEAKER_49 |
transcript.pyannote[2385].start |
19106.44596875 |
transcript.pyannote[2385].end |
19106.95221875 |
transcript.pyannote[2386].speaker |
SPEAKER_49 |
transcript.pyannote[2386].start |
19110.22596875 |
transcript.pyannote[2386].end |
19110.51284375 |
transcript.pyannote[2387].speaker |
SPEAKER_49 |
transcript.pyannote[2387].start |
19113.28034375 |
transcript.pyannote[2387].end |
19121.43096875 |
transcript.pyannote[2388].speaker |
SPEAKER_37 |
transcript.pyannote[2388].start |
19119.08534375 |
transcript.pyannote[2388].end |
19119.50721875 |
transcript.pyannote[2389].speaker |
SPEAKER_37 |
transcript.pyannote[2389].start |
19121.43096875 |
transcript.pyannote[2389].end |
19123.47284375 |
transcript.pyannote[2390].speaker |
SPEAKER_49 |
transcript.pyannote[2390].start |
19122.86534375 |
transcript.pyannote[2390].end |
19124.18159375 |
transcript.pyannote[2391].speaker |
SPEAKER_37 |
transcript.pyannote[2391].start |
19124.55284375 |
transcript.pyannote[2391].end |
19126.49346875 |
transcript.pyannote[2392].speaker |
SPEAKER_49 |
transcript.pyannote[2392].start |
19126.57784375 |
transcript.pyannote[2392].end |
19130.05409375 |
transcript.pyannote[2393].speaker |
SPEAKER_37 |
transcript.pyannote[2393].start |
19130.13846875 |
transcript.pyannote[2393].end |
19132.02846875 |
transcript.pyannote[2394].speaker |
SPEAKER_49 |
transcript.pyannote[2394].start |
19132.02846875 |
transcript.pyannote[2394].end |
19133.63159375 |
transcript.pyannote[2395].speaker |
SPEAKER_37 |
transcript.pyannote[2395].start |
19132.11284375 |
transcript.pyannote[2395].end |
19132.38284375 |
transcript.pyannote[2396].speaker |
SPEAKER_49 |
transcript.pyannote[2396].start |
19133.76659375 |
transcript.pyannote[2396].end |
19133.80034375 |
transcript.pyannote[2397].speaker |
SPEAKER_37 |
transcript.pyannote[2397].start |
19133.80034375 |
transcript.pyannote[2397].end |
19135.03221875 |
transcript.pyannote[2398].speaker |
SPEAKER_49 |
transcript.pyannote[2398].start |
19135.03221875 |
transcript.pyannote[2398].end |
19144.04346875 |
transcript.pyannote[2399].speaker |
SPEAKER_37 |
transcript.pyannote[2399].start |
19140.49971875 |
transcript.pyannote[2399].end |
19141.44471875 |
transcript.pyannote[2400].speaker |
SPEAKER_37 |
transcript.pyannote[2400].start |
19144.09409375 |
transcript.pyannote[2400].end |
19146.18659375 |
transcript.pyannote[2401].speaker |
SPEAKER_49 |
transcript.pyannote[2401].start |
19145.76471875 |
transcript.pyannote[2401].end |
19149.34221875 |
transcript.pyannote[2402].speaker |
SPEAKER_37 |
transcript.pyannote[2402].start |
19148.98784375 |
transcript.pyannote[2402].end |
19150.45596875 |
transcript.pyannote[2403].speaker |
SPEAKER_49 |
transcript.pyannote[2403].start |
19150.45596875 |
transcript.pyannote[2403].end |
19156.75034375 |
transcript.pyannote[2404].speaker |
SPEAKER_37 |
transcript.pyannote[2404].start |
19152.17721875 |
transcript.pyannote[2404].end |
19154.01659375 |
transcript.pyannote[2405].speaker |
SPEAKER_46 |
transcript.pyannote[2405].start |
19154.01659375 |
transcript.pyannote[2405].end |
19154.10096875 |
transcript.pyannote[2406].speaker |
SPEAKER_02 |
transcript.pyannote[2406].start |
19155.55221875 |
transcript.pyannote[2406].end |
19155.56909375 |
transcript.pyannote[2407].speaker |
SPEAKER_37 |
transcript.pyannote[2407].start |
19156.22721875 |
transcript.pyannote[2407].end |
19156.24409375 |
transcript.pyannote[2408].speaker |
SPEAKER_02 |
transcript.pyannote[2408].start |
19156.24409375 |
transcript.pyannote[2408].end |
19158.82596875 |
transcript.pyannote[2409].speaker |
SPEAKER_37 |
transcript.pyannote[2409].start |
19158.47159375 |
transcript.pyannote[2409].end |
19158.48846875 |
transcript.pyannote[2410].speaker |
SPEAKER_49 |
transcript.pyannote[2410].start |
19158.48846875 |
transcript.pyannote[2410].end |
19164.47909375 |
transcript.pyannote[2411].speaker |
SPEAKER_37 |
transcript.pyannote[2411].start |
19158.82596875 |
transcript.pyannote[2411].end |
19158.92721875 |
transcript.pyannote[2412].speaker |
SPEAKER_37 |
transcript.pyannote[2412].start |
19164.54659375 |
transcript.pyannote[2412].end |
19168.61346875 |
transcript.pyannote[2413].speaker |
SPEAKER_49 |
transcript.pyannote[2413].start |
19167.49971875 |
transcript.pyannote[2413].end |
19170.75659375 |
transcript.pyannote[2414].speaker |
SPEAKER_37 |
transcript.pyannote[2414].start |
19169.32221875 |
transcript.pyannote[2414].end |
19170.30096875 |
transcript.pyannote[2415].speaker |
SPEAKER_49 |
transcript.pyannote[2415].start |
19170.89159375 |
transcript.pyannote[2415].end |
19173.84471875 |
transcript.pyannote[2416].speaker |
SPEAKER_43 |
transcript.pyannote[2416].start |
19175.85284375 |
transcript.pyannote[2416].end |
19175.86971875 |
transcript.pyannote[2417].speaker |
SPEAKER_49 |
transcript.pyannote[2417].start |
19175.86971875 |
transcript.pyannote[2417].end |
19176.57846875 |
transcript.pyannote[2418].speaker |
SPEAKER_43 |
transcript.pyannote[2418].start |
19177.03409375 |
transcript.pyannote[2418].end |
19177.05096875 |
transcript.pyannote[2419].speaker |
SPEAKER_49 |
transcript.pyannote[2419].start |
19177.05096875 |
transcript.pyannote[2419].end |
19180.74659375 |
transcript.pyannote[2420].speaker |
SPEAKER_43 |
transcript.pyannote[2420].start |
19178.68784375 |
transcript.pyannote[2420].end |
19180.18971875 |
transcript.pyannote[2421].speaker |
SPEAKER_59 |
transcript.pyannote[2421].start |
19180.18971875 |
transcript.pyannote[2421].end |
19180.20659375 |
transcript.pyannote[2422].speaker |
SPEAKER_49 |
transcript.pyannote[2422].start |
19180.98284375 |
transcript.pyannote[2422].end |
19181.80971875 |
transcript.pyannote[2423].speaker |
SPEAKER_49 |
transcript.pyannote[2423].start |
19182.28221875 |
transcript.pyannote[2423].end |
19183.85159375 |
transcript.pyannote[2424].speaker |
SPEAKER_49 |
transcript.pyannote[2424].start |
19184.30721875 |
transcript.pyannote[2424].end |
19188.17159375 |
transcript.pyannote[2425].speaker |
SPEAKER_49 |
transcript.pyannote[2425].start |
19188.44159375 |
transcript.pyannote[2425].end |
19208.26971875 |
transcript.pyannote[2426].speaker |
SPEAKER_54 |
transcript.pyannote[2426].start |
19208.33721875 |
transcript.pyannote[2426].end |
19220.94284375 |
transcript.pyannote[2427].speaker |
SPEAKER_49 |
transcript.pyannote[2427].start |
19213.82159375 |
transcript.pyannote[2427].end |
19214.76659375 |
transcript.pyannote[2428].speaker |
SPEAKER_54 |
transcript.pyannote[2428].start |
19221.28034375 |
transcript.pyannote[2428].end |
19223.28846875 |
transcript.pyannote[2429].speaker |
SPEAKER_49 |
transcript.pyannote[2429].start |
19223.42346875 |
transcript.pyannote[2429].end |
19226.34284375 |
transcript.pyannote[2430].speaker |
SPEAKER_54 |
transcript.pyannote[2430].start |
19226.05596875 |
transcript.pyannote[2430].end |
19226.20784375 |
transcript.pyannote[2431].speaker |
SPEAKER_49 |
transcript.pyannote[2431].start |
19226.69721875 |
transcript.pyannote[2431].end |
19227.11909375 |
transcript.pyannote[2432].speaker |
SPEAKER_49 |
transcript.pyannote[2432].start |
19227.18659375 |
transcript.pyannote[2432].end |
19227.22034375 |
transcript.pyannote[2433].speaker |
SPEAKER_54 |
transcript.pyannote[2433].start |
19227.22034375 |
transcript.pyannote[2433].end |
19229.34659375 |
transcript.pyannote[2434].speaker |
SPEAKER_49 |
transcript.pyannote[2434].start |
19227.57471875 |
transcript.pyannote[2434].end |
19228.18221875 |
transcript.pyannote[2435].speaker |
SPEAKER_49 |
transcript.pyannote[2435].start |
19228.50284375 |
transcript.pyannote[2435].end |
19232.78909375 |
transcript.pyannote[2436].speaker |
SPEAKER_49 |
transcript.pyannote[2436].start |
19233.16034375 |
transcript.pyannote[2436].end |
19235.97846875 |
transcript.pyannote[2437].speaker |
SPEAKER_54 |
transcript.pyannote[2437].start |
19233.63284375 |
transcript.pyannote[2437].end |
19255.06409375 |
transcript.pyannote[2438].speaker |
SPEAKER_59 |
transcript.pyannote[2438].start |
19255.06409375 |
transcript.pyannote[2438].end |
19255.13159375 |
transcript.pyannote[2439].speaker |
SPEAKER_54 |
transcript.pyannote[2439].start |
19255.13159375 |
transcript.pyannote[2439].end |
19256.98784375 |
transcript.pyannote[2440].speaker |
SPEAKER_54 |
transcript.pyannote[2440].start |
19257.12284375 |
transcript.pyannote[2440].end |
19257.17346875 |
transcript.pyannote[2441].speaker |
SPEAKER_59 |
transcript.pyannote[2441].start |
19257.17346875 |
transcript.pyannote[2441].end |
19257.34221875 |
transcript.pyannote[2442].speaker |
SPEAKER_54 |
transcript.pyannote[2442].start |
19257.34221875 |
transcript.pyannote[2442].end |
19261.15596875 |
transcript.pyannote[2443].speaker |
SPEAKER_49 |
transcript.pyannote[2443].start |
19261.05471875 |
transcript.pyannote[2443].end |
19265.30721875 |
transcript.pyannote[2444].speaker |
SPEAKER_54 |
transcript.pyannote[2444].start |
19264.76721875 |
transcript.pyannote[2444].end |
19266.74159375 |
transcript.pyannote[2445].speaker |
SPEAKER_49 |
transcript.pyannote[2445].start |
19266.74159375 |
transcript.pyannote[2445].end |
19271.51721875 |
transcript.pyannote[2446].speaker |
SPEAKER_49 |
transcript.pyannote[2446].start |
19272.09096875 |
transcript.pyannote[2446].end |
19274.20034375 |
transcript.pyannote[2447].speaker |
SPEAKER_54 |
transcript.pyannote[2447].start |
19272.14159375 |
transcript.pyannote[2447].end |
19273.28909375 |
transcript.pyannote[2448].speaker |
SPEAKER_54 |
transcript.pyannote[2448].start |
19273.50846875 |
transcript.pyannote[2448].end |
19279.60034375 |
transcript.pyannote[2449].speaker |
SPEAKER_49 |
transcript.pyannote[2449].start |
19278.95909375 |
transcript.pyannote[2449].end |
19282.57034375 |
transcript.pyannote[2450].speaker |
SPEAKER_54 |
transcript.pyannote[2450].start |
19282.51971875 |
transcript.pyannote[2450].end |
19291.54784375 |
transcript.pyannote[2451].speaker |
SPEAKER_49 |
transcript.pyannote[2451].start |
19290.99096875 |
transcript.pyannote[2451].end |
19293.94409375 |
transcript.pyannote[2452].speaker |
SPEAKER_54 |
transcript.pyannote[2452].start |
19292.12159375 |
transcript.pyannote[2452].end |
19292.30721875 |
transcript.pyannote[2453].speaker |
SPEAKER_54 |
transcript.pyannote[2453].start |
19293.52221875 |
transcript.pyannote[2453].end |
19293.92721875 |
transcript.pyannote[2454].speaker |
SPEAKER_54 |
transcript.pyannote[2454].start |
19293.94409375 |
transcript.pyannote[2454].end |
19294.02846875 |
transcript.pyannote[2455].speaker |
SPEAKER_49 |
transcript.pyannote[2455].start |
19294.02846875 |
transcript.pyannote[2455].end |
19294.33221875 |
transcript.pyannote[2456].speaker |
SPEAKER_54 |
transcript.pyannote[2456].start |
19294.51784375 |
transcript.pyannote[2456].end |
19294.61909375 |
transcript.pyannote[2457].speaker |
SPEAKER_49 |
transcript.pyannote[2457].start |
19294.61909375 |
transcript.pyannote[2457].end |
19296.81284375 |
transcript.pyannote[2458].speaker |
SPEAKER_54 |
transcript.pyannote[2458].start |
19294.68659375 |
transcript.pyannote[2458].end |
19294.77096875 |
transcript.pyannote[2459].speaker |
SPEAKER_49 |
transcript.pyannote[2459].start |
19297.15034375 |
transcript.pyannote[2459].end |
19299.83346875 |
transcript.pyannote[2460].speaker |
SPEAKER_54 |
transcript.pyannote[2460].start |
19300.15409375 |
transcript.pyannote[2460].end |
19303.57971875 |
transcript.pyannote[2461].speaker |
SPEAKER_49 |
transcript.pyannote[2461].start |
19303.57971875 |
transcript.pyannote[2461].end |
19304.08596875 |
transcript.pyannote[2462].speaker |
SPEAKER_54 |
transcript.pyannote[2462].start |
19304.08596875 |
transcript.pyannote[2462].end |
19304.33909375 |
transcript.pyannote[2463].speaker |
SPEAKER_49 |
transcript.pyannote[2463].start |
19304.33909375 |
transcript.pyannote[2463].end |
19304.96346875 |
transcript.pyannote[2464].speaker |
SPEAKER_54 |
transcript.pyannote[2464].start |
19304.37284375 |
transcript.pyannote[2464].end |
19304.91284375 |
transcript.pyannote[2465].speaker |
SPEAKER_43 |
transcript.pyannote[2465].start |
19304.96346875 |
transcript.pyannote[2465].end |
19305.62159375 |
transcript.pyannote[2466].speaker |
SPEAKER_54 |
transcript.pyannote[2466].start |
19305.62159375 |
transcript.pyannote[2466].end |
19306.51596875 |
transcript.pyannote[2467].speaker |
SPEAKER_49 |
transcript.pyannote[2467].start |
19305.65534375 |
transcript.pyannote[2467].end |
19311.94971875 |
transcript.pyannote[2468].speaker |
SPEAKER_49 |
transcript.pyannote[2468].start |
19312.15221875 |
transcript.pyannote[2468].end |
19312.21971875 |
transcript.pyannote[2469].speaker |
SPEAKER_54 |
transcript.pyannote[2469].start |
19312.21971875 |
transcript.pyannote[2469].end |
19317.14721875 |
transcript.pyannote[2470].speaker |
SPEAKER_49 |
transcript.pyannote[2470].start |
19312.28721875 |
transcript.pyannote[2470].end |
19312.59096875 |
transcript.pyannote[2471].speaker |
SPEAKER_49 |
transcript.pyannote[2471].start |
19314.10971875 |
transcript.pyannote[2471].end |
19321.19721875 |
transcript.pyannote[2472].speaker |
SPEAKER_54 |
transcript.pyannote[2472].start |
19317.87284375 |
transcript.pyannote[2472].end |
19318.66596875 |
transcript.pyannote[2473].speaker |
SPEAKER_54 |
transcript.pyannote[2473].start |
19318.78409375 |
transcript.pyannote[2473].end |
19318.96971875 |
transcript.pyannote[2474].speaker |
SPEAKER_49 |
transcript.pyannote[2474].start |
19321.45034375 |
transcript.pyannote[2474].end |
19322.27721875 |
transcript.pyannote[2475].speaker |
SPEAKER_49 |
transcript.pyannote[2475].start |
19322.53034375 |
transcript.pyannote[2475].end |
19323.05346875 |
transcript.pyannote[2476].speaker |
SPEAKER_49 |
transcript.pyannote[2476].start |
19325.97284375 |
transcript.pyannote[2476].end |
19328.16659375 |
transcript.pyannote[2477].speaker |
SPEAKER_43 |
transcript.pyannote[2477].start |
19328.16659375 |
transcript.pyannote[2477].end |
19330.22534375 |
transcript.pyannote[2478].speaker |
SPEAKER_43 |
transcript.pyannote[2478].start |
19330.78221875 |
transcript.pyannote[2478].end |
19334.44409375 |
transcript.pyannote[2479].speaker |
SPEAKER_11 |
transcript.pyannote[2479].start |
19345.61534375 |
transcript.pyannote[2479].end |
19345.63221875 |
transcript.pyannote[2480].speaker |
SPEAKER_37 |
transcript.pyannote[2480].start |
19345.63221875 |
transcript.pyannote[2480].end |
19349.00721875 |
transcript.pyannote[2481].speaker |
SPEAKER_44 |
transcript.pyannote[2481].start |
19349.95221875 |
transcript.pyannote[2481].end |
19351.42034375 |
transcript.pyannote[2482].speaker |
SPEAKER_44 |
transcript.pyannote[2482].start |
19357.51221875 |
transcript.pyannote[2482].end |
19357.54596875 |
transcript.pyannote[2483].speaker |
SPEAKER_47 |
transcript.pyannote[2483].start |
19357.54596875 |
transcript.pyannote[2483].end |
19358.17034375 |
transcript.pyannote[2484].speaker |
SPEAKER_37 |
transcript.pyannote[2484].start |
19358.59221875 |
transcript.pyannote[2484].end |
19360.02659375 |
transcript.pyannote[2485].speaker |
SPEAKER_47 |
transcript.pyannote[2485].start |
19359.50346875 |
transcript.pyannote[2485].end |
19360.95471875 |
transcript.pyannote[2486].speaker |
SPEAKER_39 |
transcript.pyannote[2486].start |
19360.02659375 |
transcript.pyannote[2486].end |
19360.06034375 |
transcript.pyannote[2487].speaker |
SPEAKER_37 |
transcript.pyannote[2487].start |
19360.06034375 |
transcript.pyannote[2487].end |
19384.07346875 |
transcript.pyannote[2488].speaker |
SPEAKER_39 |
transcript.pyannote[2488].start |
19360.95471875 |
transcript.pyannote[2488].end |
19360.98846875 |
transcript.pyannote[2489].speaker |
SPEAKER_47 |
transcript.pyannote[2489].start |
19360.98846875 |
transcript.pyannote[2489].end |
19361.00534375 |
transcript.pyannote[2490].speaker |
SPEAKER_59 |
transcript.pyannote[2490].start |
19373.86409375 |
transcript.pyannote[2490].end |
19374.47159375 |
transcript.pyannote[2491].speaker |
SPEAKER_37 |
transcript.pyannote[2491].start |
19384.14096875 |
transcript.pyannote[2491].end |
19396.24034375 |
transcript.pyannote[2492].speaker |
SPEAKER_37 |
transcript.pyannote[2492].start |
19396.52721875 |
transcript.pyannote[2492].end |
19399.41284375 |
transcript.pyannote[2493].speaker |
SPEAKER_37 |
transcript.pyannote[2493].start |
19399.42971875 |
transcript.pyannote[2493].end |
19449.91971875 |
transcript.pyannote[2494].speaker |
SPEAKER_00 |
transcript.pyannote[2494].start |
19401.18471875 |
transcript.pyannote[2494].end |
19402.02846875 |
transcript.pyannote[2495].speaker |
SPEAKER_47 |
transcript.pyannote[2495].start |
19402.02846875 |
transcript.pyannote[2495].end |
19403.47971875 |
transcript.pyannote[2496].speaker |
SPEAKER_00 |
transcript.pyannote[2496].start |
19403.47971875 |
transcript.pyannote[2496].end |
19403.51346875 |
transcript.pyannote[2497].speaker |
SPEAKER_47 |
transcript.pyannote[2497].start |
19449.71721875 |
transcript.pyannote[2497].end |
19451.18534375 |
transcript.pyannote[2498].speaker |
SPEAKER_37 |
transcript.pyannote[2498].start |
19451.18534375 |
transcript.pyannote[2498].end |
19452.97409375 |
transcript.pyannote[2499].speaker |
SPEAKER_47 |
transcript.pyannote[2499].start |
19454.62784375 |
transcript.pyannote[2499].end |
19457.54721875 |
transcript.pyannote[2500].speaker |
SPEAKER_37 |
transcript.pyannote[2500].start |
19457.88471875 |
transcript.pyannote[2500].end |
19459.23471875 |
transcript.pyannote[2501].speaker |
SPEAKER_47 |
transcript.pyannote[2501].start |
19460.21346875 |
transcript.pyannote[2501].end |
19464.68534375 |
transcript.pyannote[2502].speaker |
SPEAKER_47 |
transcript.pyannote[2502].start |
19465.52909375 |
transcript.pyannote[2502].end |
19470.59159375 |
transcript.pyannote[2503].speaker |
SPEAKER_37 |
transcript.pyannote[2503].start |
19467.41909375 |
transcript.pyannote[2503].end |
19469.96721875 |
transcript.pyannote[2504].speaker |
SPEAKER_37 |
transcript.pyannote[2504].start |
19470.49034375 |
transcript.pyannote[2504].end |
19476.02534375 |
transcript.pyannote[2505].speaker |
SPEAKER_47 |
transcript.pyannote[2505].start |
19471.40159375 |
transcript.pyannote[2505].end |
19472.05971875 |
transcript.pyannote[2506].speaker |
SPEAKER_37 |
transcript.pyannote[2506].start |
19476.21096875 |
transcript.pyannote[2506].end |
19477.62846875 |
transcript.pyannote[2507].speaker |
SPEAKER_37 |
transcript.pyannote[2507].start |
19477.69596875 |
transcript.pyannote[2507].end |
19481.59409375 |
transcript.pyannote[2508].speaker |
SPEAKER_47 |
transcript.pyannote[2508].start |
19481.10471875 |
transcript.pyannote[2508].end |
19482.53909375 |
transcript.pyannote[2509].speaker |
SPEAKER_37 |
transcript.pyannote[2509].start |
19482.38721875 |
transcript.pyannote[2509].end |
19487.01096875 |
transcript.pyannote[2510].speaker |
SPEAKER_47 |
transcript.pyannote[2510].start |
19483.31534375 |
transcript.pyannote[2510].end |
19483.80471875 |
transcript.pyannote[2511].speaker |
SPEAKER_39 |
transcript.pyannote[2511].start |
19486.89284375 |
transcript.pyannote[2511].end |
19487.83784375 |
transcript.pyannote[2512].speaker |
SPEAKER_37 |
transcript.pyannote[2512].start |
19487.90534375 |
transcript.pyannote[2512].end |
19494.92534375 |
transcript.pyannote[2513].speaker |
SPEAKER_37 |
transcript.pyannote[2513].start |
19495.17846875 |
transcript.pyannote[2513].end |
19500.47721875 |
transcript.pyannote[2514].speaker |
SPEAKER_37 |
transcript.pyannote[2514].start |
19500.64596875 |
transcript.pyannote[2514].end |
19510.23096875 |
transcript.pyannote[2515].speaker |
SPEAKER_37 |
transcript.pyannote[2515].start |
19510.63596875 |
transcript.pyannote[2515].end |
19579.87409375 |
transcript.pyannote[2516].speaker |
SPEAKER_59 |
transcript.pyannote[2516].start |
19539.55971875 |
transcript.pyannote[2516].end |
19539.57659375 |
transcript.pyannote[2517].speaker |
SPEAKER_39 |
transcript.pyannote[2517].start |
19539.57659375 |
transcript.pyannote[2517].end |
19539.61034375 |
transcript.pyannote[2518].speaker |
SPEAKER_11 |
transcript.pyannote[2518].start |
19539.61034375 |
transcript.pyannote[2518].end |
19540.31909375 |
transcript.pyannote[2519].speaker |
SPEAKER_00 |
transcript.pyannote[2519].start |
19569.85034375 |
transcript.pyannote[2519].end |
19570.03596875 |
transcript.pyannote[2520].speaker |
SPEAKER_59 |
transcript.pyannote[2520].start |
19570.03596875 |
transcript.pyannote[2520].end |
19570.59284375 |
transcript.pyannote[2521].speaker |
SPEAKER_37 |
transcript.pyannote[2521].start |
19579.99221875 |
transcript.pyannote[2521].end |
19581.07221875 |
transcript.pyannote[2522].speaker |
SPEAKER_47 |
transcript.pyannote[2522].start |
19580.98784375 |
transcript.pyannote[2522].end |
19606.43534375 |
transcript.pyannote[2523].speaker |
SPEAKER_37 |
transcript.pyannote[2523].start |
19606.72221875 |
transcript.pyannote[2523].end |
19632.69284375 |
transcript.pyannote[2524].speaker |
SPEAKER_37 |
transcript.pyannote[2524].start |
19632.76034375 |
transcript.pyannote[2524].end |
19634.27909375 |
transcript.pyannote[2525].speaker |
SPEAKER_37 |
transcript.pyannote[2525].start |
19634.85284375 |
transcript.pyannote[2525].end |
19655.00159375 |
transcript.pyannote[2526].speaker |
SPEAKER_47 |
transcript.pyannote[2526].start |
19655.00159375 |
transcript.pyannote[2526].end |
19667.26971875 |
transcript.pyannote[2527].speaker |
SPEAKER_37 |
transcript.pyannote[2527].start |
19666.34159375 |
transcript.pyannote[2527].end |
19674.05346875 |
transcript.pyannote[2528].speaker |
SPEAKER_59 |
transcript.pyannote[2528].start |
19672.02846875 |
transcript.pyannote[2528].end |
19672.06221875 |
transcript.pyannote[2529].speaker |
SPEAKER_47 |
transcript.pyannote[2529].start |
19672.06221875 |
transcript.pyannote[2529].end |
19672.07909375 |
transcript.pyannote[2530].speaker |
SPEAKER_59 |
transcript.pyannote[2530].start |
19672.07909375 |
transcript.pyannote[2530].end |
19673.32784375 |
transcript.pyannote[2531].speaker |
SPEAKER_59 |
transcript.pyannote[2531].start |
19673.61471875 |
transcript.pyannote[2531].end |
19674.28971875 |
transcript.pyannote[2532].speaker |
SPEAKER_37 |
transcript.pyannote[2532].start |
19674.22221875 |
transcript.pyannote[2532].end |
19686.45659375 |
transcript.pyannote[2533].speaker |
SPEAKER_47 |
transcript.pyannote[2533].start |
19686.62534375 |
transcript.pyannote[2533].end |
19704.09096875 |
transcript.pyannote[2534].speaker |
SPEAKER_37 |
transcript.pyannote[2534].start |
19704.04034375 |
transcript.pyannote[2534].end |
19724.25659375 |
transcript.pyannote[2535].speaker |
SPEAKER_47 |
transcript.pyannote[2535].start |
19724.76284375 |
transcript.pyannote[2535].end |
19747.44284375 |
transcript.pyannote[2536].speaker |
SPEAKER_37 |
transcript.pyannote[2536].start |
19747.44284375 |
transcript.pyannote[2536].end |
19768.41846875 |
transcript.pyannote[2537].speaker |
SPEAKER_47 |
transcript.pyannote[2537].start |
19769.12721875 |
transcript.pyannote[2537].end |
19771.87784375 |
transcript.pyannote[2538].speaker |
SPEAKER_37 |
transcript.pyannote[2538].start |
19771.50659375 |
transcript.pyannote[2538].end |
19796.59971875 |
transcript.pyannote[2539].speaker |
SPEAKER_47 |
transcript.pyannote[2539].start |
19773.14346875 |
transcript.pyannote[2539].end |
19775.20221875 |
transcript.pyannote[2540].speaker |
SPEAKER_47 |
transcript.pyannote[2540].start |
19793.78159375 |
transcript.pyannote[2540].end |
19815.31409375 |
transcript.pyannote[2541].speaker |
SPEAKER_41 |
transcript.pyannote[2541].start |
19804.02471875 |
transcript.pyannote[2541].end |
19804.22721875 |
transcript.pyannote[2542].speaker |
SPEAKER_43 |
transcript.pyannote[2542].start |
19812.71534375 |
transcript.pyannote[2542].end |
19814.58846875 |
transcript.pyannote[2543].speaker |
SPEAKER_43 |
transcript.pyannote[2543].start |
19815.31409375 |
transcript.pyannote[2543].end |
19816.29284375 |
transcript.pyannote[2544].speaker |
SPEAKER_47 |
transcript.pyannote[2544].start |
19815.39846875 |
transcript.pyannote[2544].end |
19816.19159375 |
transcript.pyannote[2545].speaker |
SPEAKER_47 |
transcript.pyannote[2545].start |
19816.29284375 |
transcript.pyannote[2545].end |
19816.37721875 |
transcript.pyannote[2546].speaker |
SPEAKER_43 |
transcript.pyannote[2546].start |
19816.37721875 |
transcript.pyannote[2546].end |
19820.68034375 |
transcript.pyannote[2547].speaker |
SPEAKER_47 |
transcript.pyannote[2547].start |
19816.68096875 |
transcript.pyannote[2547].end |
19818.31784375 |
transcript.pyannote[2548].speaker |
SPEAKER_43 |
transcript.pyannote[2548].start |
19823.02596875 |
transcript.pyannote[2548].end |
19823.59971875 |
transcript.pyannote[2549].speaker |
SPEAKER_43 |
transcript.pyannote[2549].start |
19823.80221875 |
transcript.pyannote[2549].end |
19824.15659375 |
transcript.pyannote[2550].speaker |
SPEAKER_43 |
transcript.pyannote[2550].start |
19824.86534375 |
transcript.pyannote[2550].end |
19825.45596875 |
transcript.pyannote[2551].speaker |
SPEAKER_43 |
transcript.pyannote[2551].start |
19825.70909375 |
transcript.pyannote[2551].end |
19826.60346875 |
transcript.pyannote[2552].speaker |
SPEAKER_03 |
transcript.pyannote[2552].start |
19834.31534375 |
transcript.pyannote[2552].end |
19835.22659375 |
transcript.pyannote[2553].speaker |
SPEAKER_03 |
transcript.pyannote[2553].start |
19835.80034375 |
transcript.pyannote[2553].end |
19838.50034375 |
transcript.pyannote[2554].speaker |
SPEAKER_42 |
transcript.pyannote[2554].start |
19839.61409375 |
transcript.pyannote[2554].end |
19841.47034375 |
transcript.pyannote[2555].speaker |
SPEAKER_42 |
transcript.pyannote[2555].start |
19841.80784375 |
transcript.pyannote[2555].end |
19843.15784375 |
transcript.pyannote[2556].speaker |
SPEAKER_56 |
transcript.pyannote[2556].start |
19842.07784375 |
transcript.pyannote[2556].end |
19842.09471875 |
transcript.pyannote[2557].speaker |
SPEAKER_03 |
transcript.pyannote[2557].start |
19842.09471875 |
transcript.pyannote[2557].end |
19843.29284375 |
transcript.pyannote[2558].speaker |
SPEAKER_56 |
transcript.pyannote[2558].start |
19843.29284375 |
transcript.pyannote[2558].end |
19843.30971875 |
transcript.pyannote[2559].speaker |
SPEAKER_56 |
transcript.pyannote[2559].start |
19846.68471875 |
transcript.pyannote[2559].end |
19846.88721875 |
transcript.pyannote[2560].speaker |
SPEAKER_03 |
transcript.pyannote[2560].start |
19850.80221875 |
transcript.pyannote[2560].end |
19856.87721875 |
transcript.pyannote[2561].speaker |
SPEAKER_38 |
transcript.pyannote[2561].start |
19854.86909375 |
transcript.pyannote[2561].end |
19855.52721875 |
transcript.pyannote[2562].speaker |
SPEAKER_03 |
transcript.pyannote[2562].start |
19857.80534375 |
transcript.pyannote[2562].end |
19858.19346875 |
transcript.pyannote[2563].speaker |
SPEAKER_03 |
transcript.pyannote[2563].start |
19858.75034375 |
transcript.pyannote[2563].end |
19881.58221875 |
transcript.pyannote[2564].speaker |
SPEAKER_03 |
transcript.pyannote[2564].start |
19881.76784375 |
transcript.pyannote[2564].end |
19884.99096875 |
transcript.pyannote[2565].speaker |
SPEAKER_03 |
transcript.pyannote[2565].start |
19886.03721875 |
transcript.pyannote[2565].end |
19890.61034375 |
transcript.pyannote[2566].speaker |
SPEAKER_03 |
transcript.pyannote[2566].start |
19890.84659375 |
transcript.pyannote[2566].end |
19891.62284375 |
transcript.pyannote[2567].speaker |
SPEAKER_03 |
transcript.pyannote[2567].start |
19891.74096875 |
transcript.pyannote[2567].end |
19894.99784375 |
transcript.pyannote[2568].speaker |
SPEAKER_03 |
transcript.pyannote[2568].start |
19895.26784375 |
transcript.pyannote[2568].end |
19898.27159375 |
transcript.pyannote[2569].speaker |
SPEAKER_03 |
transcript.pyannote[2569].start |
19898.74409375 |
transcript.pyannote[2569].end |
19907.11409375 |
transcript.pyannote[2570].speaker |
SPEAKER_03 |
transcript.pyannote[2570].start |
19907.46846875 |
transcript.pyannote[2570].end |
19910.35409375 |
transcript.pyannote[2571].speaker |
SPEAKER_03 |
transcript.pyannote[2571].start |
19910.60721875 |
transcript.pyannote[2571].end |
19924.98471875 |
transcript.pyannote[2572].speaker |
SPEAKER_03 |
transcript.pyannote[2572].start |
19925.17034375 |
transcript.pyannote[2572].end |
19927.16159375 |
transcript.pyannote[2573].speaker |
SPEAKER_03 |
transcript.pyannote[2573].start |
19927.34721875 |
transcript.pyannote[2573].end |
19975.79534375 |
transcript.pyannote[2574].speaker |
SPEAKER_03 |
transcript.pyannote[2574].start |
19976.06534375 |
transcript.pyannote[2574].end |
19976.79096875 |
transcript.pyannote[2575].speaker |
SPEAKER_18 |
transcript.pyannote[2575].start |
19977.82034375 |
transcript.pyannote[2575].end |
19978.34346875 |
transcript.pyannote[2576].speaker |
SPEAKER_03 |
transcript.pyannote[2576].start |
19978.20846875 |
transcript.pyannote[2576].end |
19982.64659375 |
transcript.pyannote[2577].speaker |
SPEAKER_18 |
transcript.pyannote[2577].start |
19978.36034375 |
transcript.pyannote[2577].end |
19978.42784375 |
transcript.pyannote[2578].speaker |
SPEAKER_18 |
transcript.pyannote[2578].start |
19983.23721875 |
transcript.pyannote[2578].end |
19996.46721875 |
transcript.pyannote[2579].speaker |
SPEAKER_17 |
transcript.pyannote[2579].start |
19995.16784375 |
transcript.pyannote[2579].end |
19998.12096875 |
transcript.pyannote[2580].speaker |
SPEAKER_18 |
transcript.pyannote[2580].start |
19996.55159375 |
transcript.pyannote[2580].end |
19997.07471875 |
transcript.pyannote[2581].speaker |
SPEAKER_18 |
transcript.pyannote[2581].start |
19997.76659375 |
transcript.pyannote[2581].end |
20005.17471875 |
transcript.pyannote[2582].speaker |
SPEAKER_03 |
transcript.pyannote[2582].start |
20004.61784375 |
transcript.pyannote[2582].end |
20008.04346875 |
transcript.pyannote[2583].speaker |
SPEAKER_18 |
transcript.pyannote[2583].start |
20005.52909375 |
transcript.pyannote[2583].end |
20007.53721875 |
transcript.pyannote[2584].speaker |
SPEAKER_18 |
transcript.pyannote[2584].start |
20007.75659375 |
transcript.pyannote[2584].end |
20010.05159375 |
transcript.pyannote[2585].speaker |
SPEAKER_03 |
transcript.pyannote[2585].start |
20008.90409375 |
transcript.pyannote[2585].end |
20011.45221875 |
transcript.pyannote[2586].speaker |
SPEAKER_03 |
transcript.pyannote[2586].start |
20011.78971875 |
transcript.pyannote[2586].end |
20013.17346875 |
transcript.pyannote[2587].speaker |
SPEAKER_03 |
transcript.pyannote[2587].start |
20014.06784375 |
transcript.pyannote[2587].end |
20016.49784375 |
transcript.pyannote[2588].speaker |
SPEAKER_03 |
transcript.pyannote[2588].start |
20016.76784375 |
transcript.pyannote[2588].end |
20017.37534375 |
transcript.pyannote[2589].speaker |
SPEAKER_03 |
transcript.pyannote[2589].start |
20017.74659375 |
transcript.pyannote[2589].end |
20023.72034375 |
transcript.pyannote[2590].speaker |
SPEAKER_03 |
transcript.pyannote[2590].start |
20024.31096875 |
transcript.pyannote[2590].end |
20025.98159375 |
transcript.pyannote[2591].speaker |
SPEAKER_03 |
transcript.pyannote[2591].start |
20026.47096875 |
transcript.pyannote[2591].end |
20028.20909375 |
transcript.pyannote[2592].speaker |
SPEAKER_03 |
transcript.pyannote[2592].start |
20029.17096875 |
transcript.pyannote[2592].end |
20030.11596875 |
transcript.pyannote[2593].speaker |
SPEAKER_03 |
transcript.pyannote[2593].start |
20030.72346875 |
transcript.pyannote[2593].end |
20032.63034375 |
transcript.pyannote[2594].speaker |
SPEAKER_18 |
transcript.pyannote[2594].start |
20033.03534375 |
transcript.pyannote[2594].end |
20035.53284375 |
transcript.pyannote[2595].speaker |
SPEAKER_03 |
transcript.pyannote[2595].start |
20033.25471875 |
transcript.pyannote[2595].end |
20034.35159375 |
transcript.pyannote[2596].speaker |
SPEAKER_03 |
transcript.pyannote[2596].start |
20034.95909375 |
transcript.pyannote[2596].end |
20036.27534375 |
transcript.pyannote[2597].speaker |
SPEAKER_18 |
transcript.pyannote[2597].start |
20036.27534375 |
transcript.pyannote[2597].end |
20037.52409375 |
transcript.pyannote[2598].speaker |
SPEAKER_03 |
transcript.pyannote[2598].start |
20036.69721875 |
transcript.pyannote[2598].end |
20037.47346875 |
transcript.pyannote[2599].speaker |
SPEAKER_03 |
transcript.pyannote[2599].start |
20037.52409375 |
transcript.pyannote[2599].end |
20037.70971875 |
transcript.pyannote[2600].speaker |
SPEAKER_18 |
transcript.pyannote[2600].start |
20037.70971875 |
transcript.pyannote[2600].end |
20037.82784375 |
transcript.pyannote[2601].speaker |
SPEAKER_03 |
transcript.pyannote[2601].start |
20037.82784375 |
transcript.pyannote[2601].end |
20039.56596875 |
transcript.pyannote[2602].speaker |
SPEAKER_18 |
transcript.pyannote[2602].start |
20039.56596875 |
transcript.pyannote[2602].end |
20039.83596875 |
transcript.pyannote[2603].speaker |
SPEAKER_03 |
transcript.pyannote[2603].start |
20039.83596875 |
transcript.pyannote[2603].end |
20040.93284375 |
transcript.pyannote[2604].speaker |
SPEAKER_18 |
transcript.pyannote[2604].start |
20039.85284375 |
transcript.pyannote[2604].end |
20039.90346875 |
transcript.pyannote[2605].speaker |
SPEAKER_03 |
transcript.pyannote[2605].start |
20041.18596875 |
transcript.pyannote[2605].end |
20045.08409375 |
transcript.pyannote[2606].speaker |
SPEAKER_03 |
transcript.pyannote[2606].start |
20046.85596875 |
transcript.pyannote[2606].end |
20046.88971875 |
transcript.pyannote[2607].speaker |
SPEAKER_11 |
transcript.pyannote[2607].start |
20046.88971875 |
transcript.pyannote[2607].end |
20047.07534375 |
transcript.pyannote[2608].speaker |
SPEAKER_03 |
transcript.pyannote[2608].start |
20047.07534375 |
transcript.pyannote[2608].end |
20047.44659375 |
transcript.pyannote[2609].speaker |
SPEAKER_03 |
transcript.pyannote[2609].start |
20047.75034375 |
transcript.pyannote[2609].end |
20054.21346875 |
transcript.pyannote[2610].speaker |
SPEAKER_03 |
transcript.pyannote[2610].start |
20054.77034375 |
transcript.pyannote[2610].end |
20059.76534375 |
transcript.pyannote[2611].speaker |
SPEAKER_03 |
transcript.pyannote[2611].start |
20059.98471875 |
transcript.pyannote[2611].end |
20063.49471875 |
transcript.pyannote[2612].speaker |
SPEAKER_11 |
transcript.pyannote[2612].start |
20060.65971875 |
transcript.pyannote[2612].end |
20061.73971875 |
transcript.pyannote[2613].speaker |
SPEAKER_00 |
transcript.pyannote[2613].start |
20061.73971875 |
transcript.pyannote[2613].end |
20062.29659375 |
transcript.pyannote[2614].speaker |
SPEAKER_00 |
transcript.pyannote[2614].start |
20062.97159375 |
transcript.pyannote[2614].end |
20063.30909375 |
transcript.pyannote[2615].speaker |
SPEAKER_03 |
transcript.pyannote[2615].start |
20063.79846875 |
transcript.pyannote[2615].end |
20069.02971875 |
transcript.pyannote[2616].speaker |
SPEAKER_03 |
transcript.pyannote[2616].start |
20069.53596875 |
transcript.pyannote[2616].end |
20075.45909375 |
transcript.pyannote[2617].speaker |
SPEAKER_03 |
transcript.pyannote[2617].start |
20075.88096875 |
transcript.pyannote[2617].end |
20086.73159375 |
transcript.pyannote[2618].speaker |
SPEAKER_03 |
transcript.pyannote[2618].start |
20087.69346875 |
transcript.pyannote[2618].end |
20099.64096875 |
transcript.pyannote[2619].speaker |
SPEAKER_03 |
transcript.pyannote[2619].start |
20099.99534375 |
transcript.pyannote[2619].end |
20104.77096875 |
transcript.pyannote[2620].speaker |
SPEAKER_03 |
transcript.pyannote[2620].start |
20105.47971875 |
transcript.pyannote[2620].end |
20109.34409375 |
transcript.pyannote[2621].speaker |
SPEAKER_03 |
transcript.pyannote[2621].start |
20110.82909375 |
transcript.pyannote[2621].end |
20113.02284375 |
transcript.pyannote[2622].speaker |
SPEAKER_37 |
transcript.pyannote[2622].start |
20111.26784375 |
transcript.pyannote[2622].end |
20111.52096875 |
transcript.pyannote[2623].speaker |
SPEAKER_37 |
transcript.pyannote[2623].start |
20113.02284375 |
transcript.pyannote[2623].end |
20149.03409375 |
transcript.pyannote[2624].speaker |
SPEAKER_03 |
transcript.pyannote[2624].start |
20149.03409375 |
transcript.pyannote[2624].end |
20154.53534375 |
transcript.pyannote[2625].speaker |
SPEAKER_37 |
transcript.pyannote[2625].start |
20150.58659375 |
transcript.pyannote[2625].end |
20150.94096875 |
transcript.pyannote[2626].speaker |
SPEAKER_03 |
transcript.pyannote[2626].start |
20155.09221875 |
transcript.pyannote[2626].end |
20158.88909375 |
transcript.pyannote[2627].speaker |
SPEAKER_03 |
transcript.pyannote[2627].start |
20159.26034375 |
transcript.pyannote[2627].end |
20164.98096875 |
transcript.pyannote[2628].speaker |
SPEAKER_59 |
transcript.pyannote[2628].start |
20164.98096875 |
transcript.pyannote[2628].end |
20165.16659375 |
transcript.pyannote[2629].speaker |
SPEAKER_03 |
transcript.pyannote[2629].start |
20165.16659375 |
transcript.pyannote[2629].end |
20184.06659375 |
transcript.pyannote[2630].speaker |
SPEAKER_59 |
transcript.pyannote[2630].start |
20168.22096875 |
transcript.pyannote[2630].end |
20168.60909375 |
transcript.pyannote[2631].speaker |
SPEAKER_03 |
transcript.pyannote[2631].start |
20184.42096875 |
transcript.pyannote[2631].end |
20191.86284375 |
transcript.pyannote[2632].speaker |
SPEAKER_00 |
transcript.pyannote[2632].start |
20187.45846875 |
transcript.pyannote[2632].end |
20187.50909375 |
transcript.pyannote[2633].speaker |
SPEAKER_38 |
transcript.pyannote[2633].start |
20187.50909375 |
transcript.pyannote[2633].end |
20187.55971875 |
transcript.pyannote[2634].speaker |
SPEAKER_42 |
transcript.pyannote[2634].start |
20187.55971875 |
transcript.pyannote[2634].end |
20187.77909375 |
transcript.pyannote[2635].speaker |
SPEAKER_38 |
transcript.pyannote[2635].start |
20187.77909375 |
transcript.pyannote[2635].end |
20188.20096875 |
transcript.pyannote[2636].speaker |
SPEAKER_00 |
transcript.pyannote[2636].start |
20188.20096875 |
transcript.pyannote[2636].end |
20188.23471875 |
transcript.pyannote[2637].speaker |
SPEAKER_03 |
transcript.pyannote[2637].start |
20191.93034375 |
transcript.pyannote[2637].end |
20194.56284375 |
transcript.pyannote[2638].speaker |
SPEAKER_42 |
transcript.pyannote[2638].start |
20194.56284375 |
transcript.pyannote[2638].end |
20195.62596875 |
transcript.pyannote[2639].speaker |
SPEAKER_03 |
transcript.pyannote[2639].start |
20196.62159375 |
transcript.pyannote[2639].end |
20199.87846875 |
transcript.pyannote[2640].speaker |
SPEAKER_03 |
transcript.pyannote[2640].start |
20200.30034375 |
transcript.pyannote[2640].end |
20202.88221875 |
transcript.pyannote[2641].speaker |
SPEAKER_03 |
transcript.pyannote[2641].start |
20203.48971875 |
transcript.pyannote[2641].end |
20206.18971875 |
transcript.pyannote[2642].speaker |
SPEAKER_03 |
transcript.pyannote[2642].start |
20206.39221875 |
transcript.pyannote[2642].end |
20208.45096875 |
transcript.pyannote[2643].speaker |
SPEAKER_03 |
transcript.pyannote[2643].start |
20208.85596875 |
transcript.pyannote[2643].end |
20210.59409375 |
transcript.pyannote[2644].speaker |
SPEAKER_03 |
transcript.pyannote[2644].start |
20212.06221875 |
transcript.pyannote[2644].end |
20213.17596875 |
transcript.pyannote[2645].speaker |
SPEAKER_03 |
transcript.pyannote[2645].start |
20213.74971875 |
transcript.pyannote[2645].end |
20218.27221875 |
transcript.pyannote[2646].speaker |
SPEAKER_03 |
transcript.pyannote[2646].start |
20219.03159375 |
transcript.pyannote[2646].end |
20220.73596875 |
transcript.pyannote[2647].speaker |
SPEAKER_03 |
transcript.pyannote[2647].start |
20221.24221875 |
transcript.pyannote[2647].end |
20222.92971875 |
transcript.pyannote[2648].speaker |
SPEAKER_03 |
transcript.pyannote[2648].start |
20223.35159375 |
transcript.pyannote[2648].end |
20225.17409375 |
transcript.pyannote[2649].speaker |
SPEAKER_03 |
transcript.pyannote[2649].start |
20225.86596875 |
transcript.pyannote[2649].end |
20228.00909375 |
transcript.pyannote[2650].speaker |
SPEAKER_03 |
transcript.pyannote[2650].start |
20228.38034375 |
transcript.pyannote[2650].end |
20233.88159375 |
transcript.pyannote[2651].speaker |
SPEAKER_03 |
transcript.pyannote[2651].start |
20234.21909375 |
transcript.pyannote[2651].end |
20234.62409375 |
transcript.pyannote[2652].speaker |
SPEAKER_03 |
transcript.pyannote[2652].start |
20234.89409375 |
transcript.pyannote[2652].end |
20235.80534375 |
transcript.pyannote[2653].speaker |
SPEAKER_03 |
transcript.pyannote[2653].start |
20235.94034375 |
transcript.pyannote[2653].end |
20238.37034375 |
transcript.pyannote[2654].speaker |
SPEAKER_03 |
transcript.pyannote[2654].start |
20239.26471875 |
transcript.pyannote[2654].end |
20242.21784375 |
transcript.pyannote[2655].speaker |
SPEAKER_03 |
transcript.pyannote[2655].start |
20242.69034375 |
transcript.pyannote[2655].end |
20244.05721875 |
transcript.pyannote[2656].speaker |
SPEAKER_03 |
transcript.pyannote[2656].start |
20244.56346875 |
transcript.pyannote[2656].end |
20245.71096875 |
transcript.pyannote[2657].speaker |
SPEAKER_03 |
transcript.pyannote[2657].start |
20246.40284375 |
transcript.pyannote[2657].end |
20248.05659375 |
transcript.pyannote[2658].speaker |
SPEAKER_03 |
transcript.pyannote[2658].start |
20248.57971875 |
transcript.pyannote[2658].end |
20249.47409375 |
transcript.pyannote[2659].speaker |
SPEAKER_03 |
transcript.pyannote[2659].start |
20249.79471875 |
transcript.pyannote[2659].end |
20252.42721875 |
transcript.pyannote[2660].speaker |
SPEAKER_03 |
transcript.pyannote[2660].start |
20252.89971875 |
transcript.pyannote[2660].end |
20253.94596875 |
transcript.pyannote[2661].speaker |
SPEAKER_03 |
transcript.pyannote[2661].start |
20255.14409375 |
transcript.pyannote[2661].end |
20258.04659375 |
transcript.pyannote[2662].speaker |
SPEAKER_03 |
transcript.pyannote[2662].start |
20258.51909375 |
transcript.pyannote[2662].end |
20261.11784375 |
transcript.pyannote[2663].speaker |
SPEAKER_03 |
transcript.pyannote[2663].start |
20261.60721875 |
transcript.pyannote[2663].end |
20262.41721875 |
transcript.pyannote[2664].speaker |
SPEAKER_03 |
transcript.pyannote[2664].start |
20263.07534375 |
transcript.pyannote[2664].end |
20267.09159375 |
transcript.pyannote[2665].speaker |
SPEAKER_03 |
transcript.pyannote[2665].start |
20267.31096875 |
transcript.pyannote[2665].end |
20269.40346875 |
transcript.pyannote[2666].speaker |
SPEAKER_03 |
transcript.pyannote[2666].start |
20269.79159375 |
transcript.pyannote[2666].end |
20270.23034375 |
transcript.pyannote[2667].speaker |
SPEAKER_03 |
transcript.pyannote[2667].start |
20270.65221875 |
transcript.pyannote[2667].end |
20271.51284375 |
transcript.pyannote[2668].speaker |
SPEAKER_03 |
transcript.pyannote[2668].start |
20271.73221875 |
transcript.pyannote[2668].end |
20273.03159375 |
transcript.pyannote[2669].speaker |
SPEAKER_31 |
transcript.pyannote[2669].start |
20273.55471875 |
transcript.pyannote[2669].end |
20281.01346875 |
transcript.pyannote[2670].speaker |
SPEAKER_03 |
transcript.pyannote[2670].start |
20281.01346875 |
transcript.pyannote[2670].end |
20282.85284375 |
transcript.pyannote[2671].speaker |
SPEAKER_03 |
transcript.pyannote[2671].start |
20283.56159375 |
transcript.pyannote[2671].end |
20287.29096875 |
transcript.pyannote[2672].speaker |
SPEAKER_31 |
transcript.pyannote[2672].start |
20286.56534375 |
transcript.pyannote[2672].end |
20297.70284375 |
transcript.pyannote[2673].speaker |
SPEAKER_03 |
transcript.pyannote[2673].start |
20289.38346875 |
transcript.pyannote[2673].end |
20289.77159375 |
transcript.pyannote[2674].speaker |
SPEAKER_03 |
transcript.pyannote[2674].start |
20297.70284375 |
transcript.pyannote[2674].end |
20307.54096875 |
transcript.pyannote[2675].speaker |
SPEAKER_31 |
transcript.pyannote[2675].start |
20298.91784375 |
transcript.pyannote[2675].end |
20299.37346875 |
transcript.pyannote[2676].speaker |
SPEAKER_03 |
transcript.pyannote[2676].start |
20307.55784375 |
transcript.pyannote[2676].end |
20311.23659375 |
transcript.pyannote[2677].speaker |
SPEAKER_59 |
transcript.pyannote[2677].start |
20309.19471875 |
transcript.pyannote[2677].end |
20309.22846875 |
transcript.pyannote[2678].speaker |
SPEAKER_43 |
transcript.pyannote[2678].start |
20309.22846875 |
transcript.pyannote[2678].end |
20315.11784375 |
transcript.pyannote[2679].speaker |
SPEAKER_29 |
transcript.pyannote[2679].start |
20323.42034375 |
transcript.pyannote[2679].end |
20325.39471875 |
transcript.pyannote[2680].speaker |
SPEAKER_29 |
transcript.pyannote[2680].start |
20325.69846875 |
transcript.pyannote[2680].end |
20328.26346875 |
transcript.pyannote[2681].speaker |
SPEAKER_29 |
transcript.pyannote[2681].start |
20328.58409375 |
transcript.pyannote[2681].end |
20329.46159375 |
transcript.pyannote[2682].speaker |
SPEAKER_29 |
transcript.pyannote[2682].start |
20329.61346875 |
transcript.pyannote[2682].end |
20338.62471875 |
transcript.pyannote[2683].speaker |
SPEAKER_01 |
transcript.pyannote[2683].start |
20342.28659375 |
transcript.pyannote[2683].end |
20342.30346875 |
transcript.pyannote[2684].speaker |
SPEAKER_59 |
transcript.pyannote[2684].start |
20342.30346875 |
transcript.pyannote[2684].end |
20342.86034375 |
transcript.pyannote[2685].speaker |
SPEAKER_01 |
transcript.pyannote[2685].start |
20342.86034375 |
transcript.pyannote[2685].end |
20342.87721875 |
transcript.pyannote[2686].speaker |
SPEAKER_29 |
transcript.pyannote[2686].start |
20343.28221875 |
transcript.pyannote[2686].end |
20344.64909375 |
transcript.pyannote[2687].speaker |
SPEAKER_29 |
transcript.pyannote[2687].start |
20345.15534375 |
transcript.pyannote[2687].end |
20347.85534375 |
transcript.pyannote[2688].speaker |
SPEAKER_29 |
transcript.pyannote[2688].start |
20347.97346875 |
transcript.pyannote[2688].end |
20349.27284375 |
transcript.pyannote[2689].speaker |
SPEAKER_29 |
transcript.pyannote[2689].start |
20349.86346875 |
transcript.pyannote[2689].end |
20352.36096875 |
transcript.pyannote[2690].speaker |
SPEAKER_37 |
transcript.pyannote[2690].start |
20353.42409375 |
transcript.pyannote[2690].end |
20355.02721875 |
transcript.pyannote[2691].speaker |
SPEAKER_11 |
transcript.pyannote[2691].start |
20355.02721875 |
transcript.pyannote[2691].end |
20356.34346875 |
transcript.pyannote[2692].speaker |
SPEAKER_29 |
transcript.pyannote[2692].start |
20357.06909375 |
transcript.pyannote[2692].end |
20362.67159375 |
transcript.pyannote[2693].speaker |
SPEAKER_29 |
transcript.pyannote[2693].start |
20363.07659375 |
transcript.pyannote[2693].end |
20367.56534375 |
transcript.pyannote[2694].speaker |
SPEAKER_29 |
transcript.pyannote[2694].start |
20368.13909375 |
transcript.pyannote[2694].end |
20368.89846875 |
transcript.pyannote[2695].speaker |
SPEAKER_11 |
transcript.pyannote[2695].start |
20369.99534375 |
transcript.pyannote[2695].end |
20373.23534375 |
transcript.pyannote[2696].speaker |
SPEAKER_29 |
transcript.pyannote[2696].start |
20373.57284375 |
transcript.pyannote[2696].end |
20375.76659375 |
transcript.pyannote[2697].speaker |
SPEAKER_11 |
transcript.pyannote[2697].start |
20378.17971875 |
transcript.pyannote[2697].end |
20380.94721875 |
transcript.pyannote[2698].speaker |
SPEAKER_29 |
transcript.pyannote[2698].start |
20380.94721875 |
transcript.pyannote[2698].end |
20384.45721875 |
transcript.pyannote[2699].speaker |
SPEAKER_37 |
transcript.pyannote[2699].start |
20385.70596875 |
transcript.pyannote[2699].end |
20398.61534375 |
transcript.pyannote[2700].speaker |
SPEAKER_01 |
transcript.pyannote[2700].start |
20398.61534375 |
transcript.pyannote[2700].end |
20398.63221875 |
transcript.pyannote[2701].speaker |
SPEAKER_29 |
transcript.pyannote[2701].start |
20399.12159375 |
transcript.pyannote[2701].end |
20403.50909375 |
transcript.pyannote[2702].speaker |
SPEAKER_29 |
transcript.pyannote[2702].start |
20404.26846875 |
transcript.pyannote[2702].end |
20408.16659375 |
transcript.pyannote[2703].speaker |
SPEAKER_29 |
transcript.pyannote[2703].start |
20408.65596875 |
transcript.pyannote[2703].end |
20409.17909375 |
transcript.pyannote[2704].speaker |
SPEAKER_29 |
transcript.pyannote[2704].start |
20409.48284375 |
transcript.pyannote[2704].end |
20410.91721875 |
transcript.pyannote[2705].speaker |
SPEAKER_29 |
transcript.pyannote[2705].start |
20412.41909375 |
transcript.pyannote[2705].end |
20413.02659375 |
transcript.pyannote[2706].speaker |
SPEAKER_29 |
transcript.pyannote[2706].start |
20413.78596875 |
transcript.pyannote[2706].end |
20414.51159375 |
transcript.pyannote[2707].speaker |
SPEAKER_11 |
transcript.pyannote[2707].start |
20415.79409375 |
transcript.pyannote[2707].end |
20415.81096875 |
transcript.pyannote[2708].speaker |
SPEAKER_37 |
transcript.pyannote[2708].start |
20415.81096875 |
transcript.pyannote[2708].end |
20427.96096875 |
transcript.pyannote[2709].speaker |
SPEAKER_29 |
transcript.pyannote[2709].start |
20429.32784375 |
transcript.pyannote[2709].end |
20432.87159375 |
transcript.pyannote[2710].speaker |
SPEAKER_29 |
transcript.pyannote[2710].start |
20433.24284375 |
transcript.pyannote[2710].end |
20434.71096875 |
transcript.pyannote[2711].speaker |
SPEAKER_29 |
transcript.pyannote[2711].start |
20434.86284375 |
transcript.pyannote[2711].end |
20436.41534375 |
transcript.pyannote[2712].speaker |
SPEAKER_29 |
transcript.pyannote[2712].start |
20436.76971875 |
transcript.pyannote[2712].end |
20438.03534375 |
transcript.pyannote[2713].speaker |
SPEAKER_29 |
transcript.pyannote[2713].start |
20438.45721875 |
transcript.pyannote[2713].end |
20445.20721875 |
transcript.pyannote[2714].speaker |
SPEAKER_29 |
transcript.pyannote[2714].start |
20445.66284375 |
transcript.pyannote[2714].end |
20446.15221875 |
transcript.pyannote[2715].speaker |
SPEAKER_29 |
transcript.pyannote[2715].start |
20446.55721875 |
transcript.pyannote[2715].end |
20448.68346875 |
transcript.pyannote[2716].speaker |
SPEAKER_31 |
transcript.pyannote[2716].start |
20448.68346875 |
transcript.pyannote[2716].end |
20448.70034375 |
transcript.pyannote[2717].speaker |
SPEAKER_31 |
transcript.pyannote[2717].start |
20450.08409375 |
transcript.pyannote[2717].end |
20451.09659375 |
transcript.pyannote[2718].speaker |
SPEAKER_29 |
transcript.pyannote[2718].start |
20450.47221875 |
transcript.pyannote[2718].end |
20450.97846875 |
transcript.pyannote[2719].speaker |
SPEAKER_31 |
transcript.pyannote[2719].start |
20451.70409375 |
transcript.pyannote[2719].end |
20456.37846875 |
transcript.pyannote[2720].speaker |
SPEAKER_31 |
transcript.pyannote[2720].start |
20456.96909375 |
transcript.pyannote[2720].end |
20457.86346875 |
transcript.pyannote[2721].speaker |
SPEAKER_31 |
transcript.pyannote[2721].start |
20458.63971875 |
transcript.pyannote[2721].end |
20461.23846875 |
transcript.pyannote[2722].speaker |
SPEAKER_31 |
transcript.pyannote[2722].start |
20461.81221875 |
transcript.pyannote[2722].end |
20463.93846875 |
transcript.pyannote[2723].speaker |
SPEAKER_31 |
transcript.pyannote[2723].start |
20464.61346875 |
transcript.pyannote[2723].end |
20467.11096875 |
transcript.pyannote[2724].speaker |
SPEAKER_29 |
transcript.pyannote[2724].start |
20467.11096875 |
transcript.pyannote[2724].end |
20469.06846875 |
transcript.pyannote[2725].speaker |
SPEAKER_29 |
transcript.pyannote[2725].start |
20469.47346875 |
transcript.pyannote[2725].end |
20471.38034375 |
transcript.pyannote[2726].speaker |
SPEAKER_29 |
transcript.pyannote[2726].start |
20471.71784375 |
transcript.pyannote[2726].end |
20472.37596875 |
transcript.pyannote[2727].speaker |
SPEAKER_31 |
transcript.pyannote[2727].start |
20473.03409375 |
transcript.pyannote[2727].end |
20473.64159375 |
transcript.pyannote[2728].speaker |
SPEAKER_29 |
transcript.pyannote[2728].start |
20473.64159375 |
transcript.pyannote[2728].end |
20473.67534375 |
transcript.pyannote[2729].speaker |
SPEAKER_31 |
transcript.pyannote[2729].start |
20473.67534375 |
transcript.pyannote[2729].end |
20473.69221875 |
transcript.pyannote[2730].speaker |
SPEAKER_29 |
transcript.pyannote[2730].start |
20473.69221875 |
transcript.pyannote[2730].end |
20473.91159375 |
transcript.pyannote[2731].speaker |
SPEAKER_31 |
transcript.pyannote[2731].start |
20473.91159375 |
transcript.pyannote[2731].end |
20473.94534375 |
transcript.pyannote[2732].speaker |
SPEAKER_29 |
transcript.pyannote[2732].start |
20473.94534375 |
transcript.pyannote[2732].end |
20473.96221875 |
transcript.pyannote[2733].speaker |
SPEAKER_31 |
transcript.pyannote[2733].start |
20473.96221875 |
transcript.pyannote[2733].end |
20474.01284375 |
transcript.pyannote[2734].speaker |
SPEAKER_29 |
transcript.pyannote[2734].start |
20474.65409375 |
transcript.pyannote[2734].end |
20474.70471875 |
transcript.pyannote[2735].speaker |
SPEAKER_31 |
transcript.pyannote[2735].start |
20474.70471875 |
transcript.pyannote[2735].end |
20474.73846875 |
transcript.pyannote[2736].speaker |
SPEAKER_29 |
transcript.pyannote[2736].start |
20474.73846875 |
transcript.pyannote[2736].end |
20474.90721875 |
transcript.pyannote[2737].speaker |
SPEAKER_31 |
transcript.pyannote[2737].start |
20474.90721875 |
transcript.pyannote[2737].end |
20474.94096875 |
transcript.pyannote[2738].speaker |
SPEAKER_29 |
transcript.pyannote[2738].start |
20474.94096875 |
transcript.pyannote[2738].end |
20474.97471875 |
transcript.pyannote[2739].speaker |
SPEAKER_31 |
transcript.pyannote[2739].start |
20474.97471875 |
transcript.pyannote[2739].end |
20476.18971875 |
transcript.pyannote[2740].speaker |
SPEAKER_31 |
transcript.pyannote[2740].start |
20476.74659375 |
transcript.pyannote[2740].end |
20477.18534375 |
transcript.pyannote[2741].speaker |
SPEAKER_31 |
transcript.pyannote[2741].start |
20477.21909375 |
transcript.pyannote[2741].end |
20479.48034375 |
transcript.pyannote[2742].speaker |
SPEAKER_31 |
transcript.pyannote[2742].start |
20480.40846875 |
transcript.pyannote[2742].end |
20480.83034375 |
transcript.pyannote[2743].speaker |
SPEAKER_31 |
transcript.pyannote[2743].start |
20482.07909375 |
transcript.pyannote[2743].end |
20482.21409375 |
transcript.pyannote[2744].speaker |
SPEAKER_31 |
transcript.pyannote[2744].start |
20482.51784375 |
transcript.pyannote[2744].end |
20483.46284375 |
transcript.pyannote[2745].speaker |
SPEAKER_31 |
transcript.pyannote[2745].start |
20483.93534375 |
transcript.pyannote[2745].end |
20486.46659375 |
transcript.pyannote[2746].speaker |
SPEAKER_29 |
transcript.pyannote[2746].start |
20486.60159375 |
transcript.pyannote[2746].end |
20488.05284375 |
transcript.pyannote[2747].speaker |
SPEAKER_29 |
transcript.pyannote[2747].start |
20488.37346875 |
transcript.pyannote[2747].end |
20489.21721875 |
transcript.pyannote[2748].speaker |
SPEAKER_31 |
transcript.pyannote[2748].start |
20490.78659375 |
transcript.pyannote[2748].end |
20490.98909375 |
transcript.pyannote[2749].speaker |
SPEAKER_31 |
transcript.pyannote[2749].start |
20491.96784375 |
transcript.pyannote[2749].end |
20493.38534375 |
transcript.pyannote[2750].speaker |
SPEAKER_29 |
transcript.pyannote[2750].start |
20493.38534375 |
transcript.pyannote[2750].end |
20493.40221875 |
transcript.pyannote[2751].speaker |
SPEAKER_29 |
transcript.pyannote[2751].start |
20494.78596875 |
transcript.pyannote[2751].end |
20496.74346875 |
transcript.pyannote[2752].speaker |
SPEAKER_29 |
transcript.pyannote[2752].start |
20497.16534375 |
transcript.pyannote[2752].end |
20497.38471875 |
transcript.pyannote[2753].speaker |
SPEAKER_29 |
transcript.pyannote[2753].start |
20497.65471875 |
transcript.pyannote[2753].end |
20499.62909375 |
transcript.pyannote[2754].speaker |
SPEAKER_29 |
transcript.pyannote[2754].start |
20500.52346875 |
transcript.pyannote[2754].end |
20502.21096875 |
transcript.pyannote[2755].speaker |
SPEAKER_29 |
transcript.pyannote[2755].start |
20503.24034375 |
transcript.pyannote[2755].end |
20505.67034375 |
transcript.pyannote[2756].speaker |
SPEAKER_31 |
transcript.pyannote[2756].start |
20504.53971875 |
transcript.pyannote[2756].end |
20505.31596875 |
transcript.pyannote[2757].speaker |
SPEAKER_29 |
transcript.pyannote[2757].start |
20506.71659375 |
transcript.pyannote[2757].end |
20509.02846875 |
transcript.pyannote[2758].speaker |
SPEAKER_29 |
transcript.pyannote[2758].start |
20509.55159375 |
transcript.pyannote[2758].end |
20512.57221875 |
transcript.pyannote[2759].speaker |
SPEAKER_29 |
transcript.pyannote[2759].start |
20513.26409375 |
transcript.pyannote[2759].end |
20517.70221875 |
transcript.pyannote[2760].speaker |
SPEAKER_29 |
transcript.pyannote[2760].start |
20519.38971875 |
transcript.pyannote[2760].end |
20520.95909375 |
transcript.pyannote[2761].speaker |
SPEAKER_29 |
transcript.pyannote[2761].start |
20521.58346875 |
transcript.pyannote[2761].end |
20522.78159375 |
transcript.pyannote[2762].speaker |
SPEAKER_29 |
transcript.pyannote[2762].start |
20523.33846875 |
transcript.pyannote[2762].end |
20523.76034375 |
transcript.pyannote[2763].speaker |
SPEAKER_29 |
transcript.pyannote[2763].start |
20523.91221875 |
transcript.pyannote[2763].end |
20525.59971875 |
transcript.pyannote[2764].speaker |
SPEAKER_29 |
transcript.pyannote[2764].start |
20525.80221875 |
transcript.pyannote[2764].end |
20527.55721875 |
transcript.pyannote[2765].speaker |
SPEAKER_29 |
transcript.pyannote[2765].start |
20527.99596875 |
transcript.pyannote[2765].end |
20528.02971875 |
transcript.pyannote[2766].speaker |
SPEAKER_31 |
transcript.pyannote[2766].start |
20528.02971875 |
transcript.pyannote[2766].end |
20528.08034375 |
transcript.pyannote[2767].speaker |
SPEAKER_29 |
transcript.pyannote[2767].start |
20528.08034375 |
transcript.pyannote[2767].end |
20528.14784375 |
transcript.pyannote[2768].speaker |
SPEAKER_31 |
transcript.pyannote[2768].start |
20528.14784375 |
transcript.pyannote[2768].end |
20529.41346875 |
transcript.pyannote[2769].speaker |
SPEAKER_29 |
transcript.pyannote[2769].start |
20530.07159375 |
transcript.pyannote[2769].end |
20532.02909375 |
transcript.pyannote[2770].speaker |
SPEAKER_31 |
transcript.pyannote[2770].start |
20530.20659375 |
transcript.pyannote[2770].end |
20531.25284375 |
transcript.pyannote[2771].speaker |
SPEAKER_31 |
transcript.pyannote[2771].start |
20532.02909375 |
transcript.pyannote[2771].end |
20532.63659375 |
transcript.pyannote[2772].speaker |
SPEAKER_31 |
transcript.pyannote[2772].start |
20533.07534375 |
transcript.pyannote[2772].end |
20536.97346875 |
transcript.pyannote[2773].speaker |
SPEAKER_29 |
transcript.pyannote[2773].start |
20536.97346875 |
transcript.pyannote[2773].end |
20537.19284375 |
transcript.pyannote[2774].speaker |
SPEAKER_31 |
transcript.pyannote[2774].start |
20537.19284375 |
transcript.pyannote[2774].end |
20538.15471875 |
transcript.pyannote[2775].speaker |
SPEAKER_31 |
transcript.pyannote[2775].start |
20538.50909375 |
transcript.pyannote[2775].end |
20540.97284375 |
transcript.pyannote[2776].speaker |
SPEAKER_29 |
transcript.pyannote[2776].start |
20540.97284375 |
transcript.pyannote[2776].end |
20541.68159375 |
transcript.pyannote[2777].speaker |
SPEAKER_31 |
transcript.pyannote[2777].start |
20541.68159375 |
transcript.pyannote[2777].end |
20541.76596875 |
transcript.pyannote[2778].speaker |
SPEAKER_29 |
transcript.pyannote[2778].start |
20541.76596875 |
transcript.pyannote[2778].end |
20544.76971875 |
transcript.pyannote[2779].speaker |
SPEAKER_29 |
transcript.pyannote[2779].start |
20545.76534375 |
transcript.pyannote[2779].end |
20546.08596875 |
transcript.pyannote[2780].speaker |
SPEAKER_29 |
transcript.pyannote[2780].start |
20546.13659375 |
transcript.pyannote[2780].end |
20546.22096875 |
transcript.pyannote[2781].speaker |
SPEAKER_31 |
transcript.pyannote[2781].start |
20546.22096875 |
transcript.pyannote[2781].end |
20546.79471875 |
transcript.pyannote[2782].speaker |
SPEAKER_29 |
transcript.pyannote[2782].start |
20546.79471875 |
transcript.pyannote[2782].end |
20546.81159375 |
transcript.pyannote[2783].speaker |
SPEAKER_29 |
transcript.pyannote[2783].start |
20546.96346875 |
transcript.pyannote[2783].end |
20546.99721875 |
transcript.pyannote[2784].speaker |
SPEAKER_31 |
transcript.pyannote[2784].start |
20546.99721875 |
transcript.pyannote[2784].end |
20547.45284375 |
transcript.pyannote[2785].speaker |
SPEAKER_29 |
transcript.pyannote[2785].start |
20547.99284375 |
transcript.pyannote[2785].end |
20548.00971875 |
transcript.pyannote[2786].speaker |
SPEAKER_31 |
transcript.pyannote[2786].start |
20548.00971875 |
transcript.pyannote[2786].end |
20548.78596875 |
transcript.pyannote[2787].speaker |
SPEAKER_29 |
transcript.pyannote[2787].start |
20548.78596875 |
transcript.pyannote[2787].end |
20548.80284375 |
transcript.pyannote[2788].speaker |
SPEAKER_31 |
transcript.pyannote[2788].start |
20549.03909375 |
transcript.pyannote[2788].end |
20549.69721875 |
transcript.pyannote[2789].speaker |
SPEAKER_31 |
transcript.pyannote[2789].start |
20550.27096875 |
transcript.pyannote[2789].end |
20550.91221875 |
transcript.pyannote[2790].speaker |
SPEAKER_31 |
transcript.pyannote[2790].start |
20551.48596875 |
transcript.pyannote[2790].end |
20551.94159375 |
transcript.pyannote[2791].speaker |
SPEAKER_31 |
transcript.pyannote[2791].start |
20552.09346875 |
transcript.pyannote[2791].end |
20554.01721875 |
transcript.pyannote[2792].speaker |
SPEAKER_29 |
transcript.pyannote[2792].start |
20554.01721875 |
transcript.pyannote[2792].end |
20554.03409375 |
transcript.pyannote[2793].speaker |
SPEAKER_31 |
transcript.pyannote[2793].start |
20554.89471875 |
transcript.pyannote[2793].end |
20555.02971875 |
transcript.pyannote[2794].speaker |
SPEAKER_29 |
transcript.pyannote[2794].start |
20555.02971875 |
transcript.pyannote[2794].end |
20555.04659375 |
transcript.pyannote[2795].speaker |
SPEAKER_31 |
transcript.pyannote[2795].start |
20555.04659375 |
transcript.pyannote[2795].end |
20555.06346875 |
transcript.pyannote[2796].speaker |
SPEAKER_29 |
transcript.pyannote[2796].start |
20555.06346875 |
transcript.pyannote[2796].end |
20555.14784375 |
transcript.pyannote[2797].speaker |
SPEAKER_31 |
transcript.pyannote[2797].start |
20555.14784375 |
transcript.pyannote[2797].end |
20555.16471875 |
transcript.pyannote[2798].speaker |
SPEAKER_29 |
transcript.pyannote[2798].start |
20555.16471875 |
transcript.pyannote[2798].end |
20555.29971875 |
transcript.pyannote[2799].speaker |
SPEAKER_29 |
transcript.pyannote[2799].start |
20555.43471875 |
transcript.pyannote[2799].end |
20555.50221875 |
transcript.pyannote[2800].speaker |
SPEAKER_31 |
transcript.pyannote[2800].start |
20555.50221875 |
transcript.pyannote[2800].end |
20555.97471875 |
transcript.pyannote[2801].speaker |
SPEAKER_29 |
transcript.pyannote[2801].start |
20555.97471875 |
transcript.pyannote[2801].end |
20558.74221875 |
transcript.pyannote[2802].speaker |
SPEAKER_29 |
transcript.pyannote[2802].start |
20559.29909375 |
transcript.pyannote[2802].end |
20560.54784375 |
transcript.pyannote[2803].speaker |
SPEAKER_29 |
transcript.pyannote[2803].start |
20561.49284375 |
transcript.pyannote[2803].end |
20566.36971875 |
transcript.pyannote[2804].speaker |
SPEAKER_29 |
transcript.pyannote[2804].start |
20566.84221875 |
transcript.pyannote[2804].end |
20568.59721875 |
transcript.pyannote[2805].speaker |
SPEAKER_29 |
transcript.pyannote[2805].start |
20569.35659375 |
transcript.pyannote[2805].end |
20570.14971875 |
transcript.pyannote[2806].speaker |
SPEAKER_29 |
transcript.pyannote[2806].start |
20570.26784375 |
transcript.pyannote[2806].end |
20574.52034375 |
transcript.pyannote[2807].speaker |
SPEAKER_29 |
transcript.pyannote[2807].start |
20575.12784375 |
transcript.pyannote[2807].end |
20575.66784375 |
transcript.pyannote[2808].speaker |
SPEAKER_29 |
transcript.pyannote[2808].start |
20576.03909375 |
transcript.pyannote[2808].end |
20580.57846875 |
transcript.pyannote[2809].speaker |
SPEAKER_29 |
transcript.pyannote[2809].start |
20582.38409375 |
transcript.pyannote[2809].end |
20583.46409375 |
transcript.pyannote[2810].speaker |
SPEAKER_29 |
transcript.pyannote[2810].start |
20583.63284375 |
transcript.pyannote[2810].end |
20585.13471875 |
transcript.pyannote[2811].speaker |
SPEAKER_29 |
transcript.pyannote[2811].start |
20585.52284375 |
transcript.pyannote[2811].end |
20587.15971875 |
transcript.pyannote[2812].speaker |
SPEAKER_29 |
transcript.pyannote[2812].start |
20588.27346875 |
transcript.pyannote[2812].end |
20589.74159375 |
transcript.pyannote[2813].speaker |
SPEAKER_29 |
transcript.pyannote[2813].start |
20590.07909375 |
transcript.pyannote[2813].end |
20591.85096875 |
transcript.pyannote[2814].speaker |
SPEAKER_29 |
transcript.pyannote[2814].start |
20593.42034375 |
transcript.pyannote[2814].end |
20593.82534375 |
transcript.pyannote[2815].speaker |
SPEAKER_29 |
transcript.pyannote[2815].start |
20594.07846875 |
transcript.pyannote[2815].end |
20597.40284375 |
transcript.pyannote[2816].speaker |
SPEAKER_29 |
transcript.pyannote[2816].start |
20598.17909375 |
transcript.pyannote[2816].end |
20600.37284375 |
transcript.pyannote[2817].speaker |
SPEAKER_29 |
transcript.pyannote[2817].start |
20600.96346875 |
transcript.pyannote[2817].end |
20602.66784375 |
transcript.pyannote[2818].speaker |
SPEAKER_29 |
transcript.pyannote[2818].start |
20603.17409375 |
transcript.pyannote[2818].end |
20604.16971875 |
transcript.pyannote[2819].speaker |
SPEAKER_29 |
transcript.pyannote[2819].start |
20605.65471875 |
transcript.pyannote[2819].end |
20606.48159375 |
transcript.pyannote[2820].speaker |
SPEAKER_29 |
transcript.pyannote[2820].start |
20607.17346875 |
transcript.pyannote[2820].end |
20607.79784375 |
transcript.pyannote[2821].speaker |
SPEAKER_29 |
transcript.pyannote[2821].start |
20609.24909375 |
transcript.pyannote[2821].end |
20610.85221875 |
transcript.pyannote[2822].speaker |
SPEAKER_29 |
transcript.pyannote[2822].start |
20611.29096875 |
transcript.pyannote[2822].end |
20615.20596875 |
transcript.pyannote[2823].speaker |
SPEAKER_29 |
transcript.pyannote[2823].start |
20615.42534375 |
transcript.pyannote[2823].end |
20616.65721875 |
transcript.pyannote[2824].speaker |
SPEAKER_29 |
transcript.pyannote[2824].start |
20617.50096875 |
transcript.pyannote[2824].end |
20621.23034375 |
transcript.pyannote[2825].speaker |
SPEAKER_29 |
transcript.pyannote[2825].start |
20621.78721875 |
transcript.pyannote[2825].end |
20624.18346875 |
transcript.pyannote[2826].speaker |
SPEAKER_29 |
transcript.pyannote[2826].start |
20624.97659375 |
transcript.pyannote[2826].end |
20629.53284375 |
transcript.pyannote[2827].speaker |
SPEAKER_29 |
transcript.pyannote[2827].start |
20631.72659375 |
transcript.pyannote[2827].end |
20632.03034375 |
transcript.pyannote[2828].speaker |
SPEAKER_48 |
transcript.pyannote[2828].start |
20632.03034375 |
transcript.pyannote[2828].end |
20638.96596875 |
transcript.pyannote[2829].speaker |
SPEAKER_29 |
transcript.pyannote[2829].start |
20635.21971875 |
transcript.pyannote[2829].end |
20635.81034375 |
transcript.pyannote[2830].speaker |
SPEAKER_29 |
transcript.pyannote[2830].start |
20638.96596875 |
transcript.pyannote[2830].end |
20648.31471875 |
transcript.pyannote[2831].speaker |
SPEAKER_48 |
transcript.pyannote[2831].start |
20639.13471875 |
transcript.pyannote[2831].end |
20639.91096875 |
transcript.pyannote[2832].speaker |
SPEAKER_48 |
transcript.pyannote[2832].start |
20649.14159375 |
transcript.pyannote[2832].end |
20659.58721875 |
transcript.pyannote[2833].speaker |
SPEAKER_29 |
transcript.pyannote[2833].start |
20659.41846875 |
transcript.pyannote[2833].end |
20661.76409375 |
transcript.pyannote[2834].speaker |
SPEAKER_29 |
transcript.pyannote[2834].start |
20662.15221875 |
transcript.pyannote[2834].end |
20670.42096875 |
transcript.pyannote[2835].speaker |
SPEAKER_29 |
transcript.pyannote[2835].start |
20671.56846875 |
transcript.pyannote[2835].end |
20673.03659375 |
transcript.pyannote[2836].speaker |
SPEAKER_48 |
transcript.pyannote[2836].start |
20671.77096875 |
transcript.pyannote[2836].end |
20672.10846875 |
transcript.pyannote[2837].speaker |
SPEAKER_48 |
transcript.pyannote[2837].start |
20673.03659375 |
transcript.pyannote[2837].end |
20676.86721875 |
transcript.pyannote[2838].speaker |
SPEAKER_29 |
transcript.pyannote[2838].start |
20673.72846875 |
transcript.pyannote[2838].end |
20674.65659375 |
transcript.pyannote[2839].speaker |
SPEAKER_29 |
transcript.pyannote[2839].start |
20675.78721875 |
transcript.pyannote[2839].end |
20679.09471875 |
transcript.pyannote[2840].speaker |
SPEAKER_48 |
transcript.pyannote[2840].start |
20679.09471875 |
transcript.pyannote[2840].end |
20679.14534375 |
transcript.pyannote[2841].speaker |
SPEAKER_29 |
transcript.pyannote[2841].start |
20679.14534375 |
transcript.pyannote[2841].end |
20679.21284375 |
transcript.pyannote[2842].speaker |
SPEAKER_48 |
transcript.pyannote[2842].start |
20679.21284375 |
transcript.pyannote[2842].end |
20679.73596875 |
transcript.pyannote[2843].speaker |
SPEAKER_29 |
transcript.pyannote[2843].start |
20679.73596875 |
transcript.pyannote[2843].end |
20679.82034375 |
transcript.pyannote[2844].speaker |
SPEAKER_48 |
transcript.pyannote[2844].start |
20679.82034375 |
transcript.pyannote[2844].end |
20679.88784375 |
transcript.pyannote[2845].speaker |
SPEAKER_29 |
transcript.pyannote[2845].start |
20679.88784375 |
transcript.pyannote[2845].end |
20680.29284375 |
transcript.pyannote[2846].speaker |
SPEAKER_48 |
transcript.pyannote[2846].start |
20680.29284375 |
transcript.pyannote[2846].end |
20680.36034375 |
transcript.pyannote[2847].speaker |
SPEAKER_29 |
transcript.pyannote[2847].start |
20680.36034375 |
transcript.pyannote[2847].end |
20680.37721875 |
transcript.pyannote[2848].speaker |
SPEAKER_48 |
transcript.pyannote[2848].start |
20680.37721875 |
transcript.pyannote[2848].end |
20680.91721875 |
transcript.pyannote[2849].speaker |
SPEAKER_29 |
transcript.pyannote[2849].start |
20680.91721875 |
transcript.pyannote[2849].end |
20693.45534375 |
transcript.pyannote[2850].speaker |
SPEAKER_48 |
transcript.pyannote[2850].start |
20682.55409375 |
transcript.pyannote[2850].end |
20683.51596875 |
transcript.pyannote[2851].speaker |
SPEAKER_25 |
transcript.pyannote[2851].start |
20683.51596875 |
transcript.pyannote[2851].end |
20683.53284375 |
transcript.pyannote[2852].speaker |
SPEAKER_29 |
transcript.pyannote[2852].start |
20693.64096875 |
transcript.pyannote[2852].end |
20695.12596875 |
transcript.pyannote[2853].speaker |
SPEAKER_29 |
transcript.pyannote[2853].start |
20695.58159375 |
transcript.pyannote[2853].end |
20697.85971875 |
transcript.pyannote[2854].speaker |
SPEAKER_29 |
transcript.pyannote[2854].start |
20699.05784375 |
transcript.pyannote[2854].end |
20699.71596875 |
transcript.pyannote[2855].speaker |
SPEAKER_29 |
transcript.pyannote[2855].start |
20700.22221875 |
transcript.pyannote[2855].end |
20701.43721875 |
transcript.pyannote[2856].speaker |
SPEAKER_29 |
transcript.pyannote[2856].start |
20702.14596875 |
transcript.pyannote[2856].end |
20703.24284375 |
transcript.pyannote[2857].speaker |
SPEAKER_29 |
transcript.pyannote[2857].start |
20703.47909375 |
transcript.pyannote[2857].end |
20704.37346875 |
transcript.pyannote[2858].speaker |
SPEAKER_29 |
transcript.pyannote[2858].start |
20704.71096875 |
transcript.pyannote[2858].end |
20705.94284375 |
transcript.pyannote[2859].speaker |
SPEAKER_29 |
transcript.pyannote[2859].start |
20706.09471875 |
transcript.pyannote[2859].end |
20708.27159375 |
transcript.pyannote[2860].speaker |
SPEAKER_29 |
transcript.pyannote[2860].start |
20708.54159375 |
transcript.pyannote[2860].end |
20709.13221875 |
transcript.pyannote[2861].speaker |
SPEAKER_29 |
transcript.pyannote[2861].start |
20709.85784375 |
transcript.pyannote[2861].end |
20712.67596875 |
transcript.pyannote[2862].speaker |
SPEAKER_48 |
transcript.pyannote[2862].start |
20712.67596875 |
transcript.pyannote[2862].end |
20712.72659375 |
transcript.pyannote[2863].speaker |
SPEAKER_29 |
transcript.pyannote[2863].start |
20713.24971875 |
transcript.pyannote[2863].end |
20713.28346875 |
transcript.pyannote[2864].speaker |
SPEAKER_48 |
transcript.pyannote[2864].start |
20713.28346875 |
transcript.pyannote[2864].end |
20717.51909375 |
transcript.pyannote[2865].speaker |
SPEAKER_48 |
transcript.pyannote[2865].start |
20718.07596875 |
transcript.pyannote[2865].end |
20718.97034375 |
transcript.pyannote[2866].speaker |
SPEAKER_29 |
transcript.pyannote[2866].start |
20718.97034375 |
transcript.pyannote[2866].end |
20727.37409375 |
transcript.pyannote[2867].speaker |
SPEAKER_29 |
transcript.pyannote[2867].start |
20728.03221875 |
transcript.pyannote[2867].end |
20729.26409375 |
transcript.pyannote[2868].speaker |
SPEAKER_29 |
transcript.pyannote[2868].start |
20729.46659375 |
transcript.pyannote[2868].end |
20734.03971875 |
transcript.pyannote[2869].speaker |
SPEAKER_29 |
transcript.pyannote[2869].start |
20734.47846875 |
transcript.pyannote[2869].end |
20737.97159375 |
transcript.pyannote[2870].speaker |
SPEAKER_29 |
transcript.pyannote[2870].start |
20740.06409375 |
transcript.pyannote[2870].end |
20742.47721875 |
transcript.pyannote[2871].speaker |
SPEAKER_48 |
transcript.pyannote[2871].start |
20742.47721875 |
transcript.pyannote[2871].end |
20742.88221875 |
transcript.pyannote[2872].speaker |
SPEAKER_29 |
transcript.pyannote[2872].start |
20742.88221875 |
transcript.pyannote[2872].end |
20742.91596875 |
transcript.pyannote[2873].speaker |
SPEAKER_48 |
transcript.pyannote[2873].start |
20742.91596875 |
transcript.pyannote[2873].end |
20742.93284375 |
transcript.pyannote[2874].speaker |
SPEAKER_29 |
transcript.pyannote[2874].start |
20742.93284375 |
transcript.pyannote[2874].end |
20760.34784375 |
transcript.pyannote[2875].speaker |
SPEAKER_48 |
transcript.pyannote[2875].start |
20743.50659375 |
transcript.pyannote[2875].end |
20743.86096875 |
transcript.pyannote[2876].speaker |
SPEAKER_48 |
transcript.pyannote[2876].start |
20749.78409375 |
transcript.pyannote[2876].end |
20749.80096875 |
transcript.pyannote[2877].speaker |
SPEAKER_53 |
transcript.pyannote[2877].start |
20749.80096875 |
transcript.pyannote[2877].end |
20749.86846875 |
transcript.pyannote[2878].speaker |
SPEAKER_59 |
transcript.pyannote[2878].start |
20749.86846875 |
transcript.pyannote[2878].end |
20749.96971875 |
transcript.pyannote[2879].speaker |
SPEAKER_53 |
transcript.pyannote[2879].start |
20749.96971875 |
transcript.pyannote[2879].end |
20751.13409375 |
transcript.pyannote[2880].speaker |
SPEAKER_59 |
transcript.pyannote[2880].start |
20751.13409375 |
transcript.pyannote[2880].end |
20751.15096875 |
transcript.pyannote[2881].speaker |
SPEAKER_29 |
transcript.pyannote[2881].start |
20761.24221875 |
transcript.pyannote[2881].end |
20764.53284375 |
transcript.pyannote[2882].speaker |
SPEAKER_29 |
transcript.pyannote[2882].start |
20764.71846875 |
transcript.pyannote[2882].end |
20768.04284375 |
transcript.pyannote[2883].speaker |
SPEAKER_29 |
transcript.pyannote[2883].start |
20768.44784375 |
transcript.pyannote[2883].end |
20769.29159375 |
transcript.pyannote[2884].speaker |
SPEAKER_29 |
transcript.pyannote[2884].start |
20769.79784375 |
transcript.pyannote[2884].end |
20770.03409375 |
transcript.pyannote[2885].speaker |
SPEAKER_43 |
transcript.pyannote[2885].start |
20770.03409375 |
transcript.pyannote[2885].end |
20774.33721875 |
transcript.pyannote[2886].speaker |
SPEAKER_43 |
transcript.pyannote[2886].start |
20774.99534375 |
transcript.pyannote[2886].end |
20776.02471875 |
transcript.pyannote[2887].speaker |
SPEAKER_00 |
transcript.pyannote[2887].start |
20791.31346875 |
transcript.pyannote[2887].end |
20792.86596875 |
transcript.pyannote[2888].speaker |
SPEAKER_00 |
transcript.pyannote[2888].start |
20793.10221875 |
transcript.pyannote[2888].end |
20793.84471875 |
transcript.pyannote[2889].speaker |
SPEAKER_00 |
transcript.pyannote[2889].start |
20794.38471875 |
transcript.pyannote[2889].end |
20795.83596875 |
transcript.pyannote[2890].speaker |
SPEAKER_42 |
transcript.pyannote[2890].start |
20797.03409375 |
transcript.pyannote[2890].end |
20797.92846875 |
transcript.pyannote[2891].speaker |
SPEAKER_00 |
transcript.pyannote[2891].start |
20797.13534375 |
transcript.pyannote[2891].end |
20797.89471875 |
transcript.pyannote[2892].speaker |
SPEAKER_42 |
transcript.pyannote[2892].start |
20798.50221875 |
transcript.pyannote[2892].end |
20799.70034375 |
transcript.pyannote[2893].speaker |
SPEAKER_00 |
transcript.pyannote[2893].start |
20800.91534375 |
transcript.pyannote[2893].end |
20800.96596875 |
transcript.pyannote[2894].speaker |
SPEAKER_47 |
transcript.pyannote[2894].start |
20800.96596875 |
transcript.pyannote[2894].end |
20801.55659375 |
transcript.pyannote[2895].speaker |
SPEAKER_42 |
transcript.pyannote[2895].start |
20801.75909375 |
transcript.pyannote[2895].end |
20802.60284375 |
transcript.pyannote[2896].speaker |
SPEAKER_39 |
transcript.pyannote[2896].start |
20802.60284375 |
transcript.pyannote[2896].end |
20802.61971875 |
transcript.pyannote[2897].speaker |
SPEAKER_42 |
transcript.pyannote[2897].start |
20802.61971875 |
transcript.pyannote[2897].end |
20802.63659375 |
transcript.pyannote[2898].speaker |
SPEAKER_47 |
transcript.pyannote[2898].start |
20805.30284375 |
transcript.pyannote[2898].end |
20805.91034375 |
transcript.pyannote[2899].speaker |
SPEAKER_47 |
transcript.pyannote[2899].start |
20807.88471875 |
transcript.pyannote[2899].end |
20808.03659375 |
transcript.pyannote[2900].speaker |
SPEAKER_06 |
transcript.pyannote[2900].start |
20808.03659375 |
transcript.pyannote[2900].end |
20809.38659375 |
transcript.pyannote[2901].speaker |
SPEAKER_06 |
transcript.pyannote[2901].start |
20809.69034375 |
transcript.pyannote[2901].end |
20810.02784375 |
transcript.pyannote[2902].speaker |
SPEAKER_06 |
transcript.pyannote[2902].start |
20813.04846875 |
transcript.pyannote[2902].end |
20815.46159375 |
transcript.pyannote[2903].speaker |
SPEAKER_06 |
transcript.pyannote[2903].start |
20816.13659375 |
transcript.pyannote[2903].end |
20816.92971875 |
transcript.pyannote[2904].speaker |
SPEAKER_06 |
transcript.pyannote[2904].start |
20817.36846875 |
transcript.pyannote[2904].end |
20818.22909375 |
transcript.pyannote[2905].speaker |
SPEAKER_06 |
transcript.pyannote[2905].start |
20819.27534375 |
transcript.pyannote[2905].end |
20822.75159375 |
transcript.pyannote[2906].speaker |
SPEAKER_06 |
transcript.pyannote[2906].start |
20823.12284375 |
transcript.pyannote[2906].end |
20826.26159375 |
transcript.pyannote[2907].speaker |
SPEAKER_06 |
transcript.pyannote[2907].start |
20826.85221875 |
transcript.pyannote[2907].end |
20828.06721875 |
transcript.pyannote[2908].speaker |
SPEAKER_06 |
transcript.pyannote[2908].start |
20828.64096875 |
transcript.pyannote[2908].end |
20830.58159375 |
transcript.pyannote[2909].speaker |
SPEAKER_06 |
transcript.pyannote[2909].start |
20831.76284375 |
transcript.pyannote[2909].end |
20832.25221875 |
transcript.pyannote[2910].speaker |
SPEAKER_06 |
transcript.pyannote[2910].start |
20832.85971875 |
transcript.pyannote[2910].end |
20833.56846875 |
transcript.pyannote[2911].speaker |
SPEAKER_06 |
transcript.pyannote[2911].start |
20834.04096875 |
transcript.pyannote[2911].end |
20835.35721875 |
transcript.pyannote[2912].speaker |
SPEAKER_06 |
transcript.pyannote[2912].start |
20835.47534375 |
transcript.pyannote[2912].end |
20836.84221875 |
transcript.pyannote[2913].speaker |
SPEAKER_06 |
transcript.pyannote[2913].start |
20837.41596875 |
transcript.pyannote[2913].end |
20840.13284375 |
transcript.pyannote[2914].speaker |
SPEAKER_06 |
transcript.pyannote[2914].start |
20840.36909375 |
transcript.pyannote[2914].end |
20842.34346875 |
transcript.pyannote[2915].speaker |
SPEAKER_06 |
transcript.pyannote[2915].start |
20844.80721875 |
transcript.pyannote[2915].end |
20845.49909375 |
transcript.pyannote[2916].speaker |
SPEAKER_06 |
transcript.pyannote[2916].start |
20845.60034375 |
transcript.pyannote[2916].end |
20846.25846875 |
transcript.pyannote[2917].speaker |
SPEAKER_06 |
transcript.pyannote[2917].start |
20847.15284375 |
transcript.pyannote[2917].end |
20848.23284375 |
transcript.pyannote[2918].speaker |
SPEAKER_06 |
transcript.pyannote[2918].start |
20848.68846875 |
transcript.pyannote[2918].end |
20851.86096875 |
transcript.pyannote[2919].speaker |
SPEAKER_06 |
transcript.pyannote[2919].start |
20852.35034375 |
transcript.pyannote[2919].end |
20863.50471875 |
transcript.pyannote[2920].speaker |
SPEAKER_06 |
transcript.pyannote[2920].start |
20865.25971875 |
transcript.pyannote[2920].end |
20872.48221875 |
transcript.pyannote[2921].speaker |
SPEAKER_06 |
transcript.pyannote[2921].start |
20873.73096875 |
transcript.pyannote[2921].end |
20876.75159375 |
transcript.pyannote[2922].speaker |
SPEAKER_06 |
transcript.pyannote[2922].start |
20877.12284375 |
transcript.pyannote[2922].end |
20877.84846875 |
transcript.pyannote[2923].speaker |
SPEAKER_06 |
transcript.pyannote[2923].start |
20879.31659375 |
transcript.pyannote[2923].end |
20881.98284375 |
transcript.pyannote[2924].speaker |
SPEAKER_06 |
transcript.pyannote[2924].start |
20882.52284375 |
transcript.pyannote[2924].end |
20889.15471875 |
transcript.pyannote[2925].speaker |
SPEAKER_06 |
transcript.pyannote[2925].start |
20890.35284375 |
transcript.pyannote[2925].end |
20892.37784375 |
transcript.pyannote[2926].speaker |
SPEAKER_06 |
transcript.pyannote[2926].start |
20893.10346875 |
transcript.pyannote[2926].end |
20895.07784375 |
transcript.pyannote[2927].speaker |
SPEAKER_06 |
transcript.pyannote[2927].start |
20895.92159375 |
transcript.pyannote[2927].end |
20904.39284375 |
transcript.pyannote[2928].speaker |
SPEAKER_06 |
transcript.pyannote[2928].start |
20905.60784375 |
transcript.pyannote[2928].end |
20907.81846875 |
transcript.pyannote[2929].speaker |
SPEAKER_06 |
transcript.pyannote[2929].start |
20908.59471875 |
transcript.pyannote[2929].end |
20910.63659375 |
transcript.pyannote[2930].speaker |
SPEAKER_06 |
transcript.pyannote[2930].start |
20911.54784375 |
transcript.pyannote[2930].end |
20917.94346875 |
transcript.pyannote[2931].speaker |
SPEAKER_06 |
transcript.pyannote[2931].start |
20918.98971875 |
transcript.pyannote[2931].end |
20923.64721875 |
transcript.pyannote[2932].speaker |
SPEAKER_06 |
transcript.pyannote[2932].start |
20924.18721875 |
transcript.pyannote[2932].end |
20925.25034375 |
transcript.pyannote[2933].speaker |
SPEAKER_06 |
transcript.pyannote[2933].start |
20925.97596875 |
transcript.pyannote[2933].end |
20929.45221875 |
transcript.pyannote[2934].speaker |
SPEAKER_06 |
transcript.pyannote[2934].start |
20929.82346875 |
transcript.pyannote[2934].end |
20932.60784375 |
transcript.pyannote[2935].speaker |
SPEAKER_06 |
transcript.pyannote[2935].start |
20932.99596875 |
transcript.pyannote[2935].end |
20936.50596875 |
transcript.pyannote[2936].speaker |
SPEAKER_06 |
transcript.pyannote[2936].start |
20937.19784375 |
transcript.pyannote[2936].end |
20937.95721875 |
transcript.pyannote[2937].speaker |
SPEAKER_06 |
transcript.pyannote[2937].start |
20938.51409375 |
transcript.pyannote[2937].end |
20939.62784375 |
transcript.pyannote[2938].speaker |
SPEAKER_06 |
transcript.pyannote[2938].start |
20941.06221875 |
transcript.pyannote[2938].end |
20941.66971875 |
transcript.pyannote[2939].speaker |
SPEAKER_06 |
transcript.pyannote[2939].start |
20942.10846875 |
transcript.pyannote[2939].end |
20943.64409375 |
transcript.pyannote[2940].speaker |
SPEAKER_06 |
transcript.pyannote[2940].start |
20944.92659375 |
transcript.pyannote[2940].end |
20945.33159375 |
transcript.pyannote[2941].speaker |
SPEAKER_06 |
transcript.pyannote[2941].start |
20946.20909375 |
transcript.pyannote[2941].end |
20946.96846875 |
transcript.pyannote[2942].speaker |
SPEAKER_06 |
transcript.pyannote[2942].start |
20947.35659375 |
transcript.pyannote[2942].end |
20950.79909375 |
transcript.pyannote[2943].speaker |
SPEAKER_06 |
transcript.pyannote[2943].start |
20950.98471875 |
transcript.pyannote[2943].end |
20951.89596875 |
transcript.pyannote[2944].speaker |
SPEAKER_06 |
transcript.pyannote[2944].start |
20952.46971875 |
transcript.pyannote[2944].end |
20954.51159375 |
transcript.pyannote[2945].speaker |
SPEAKER_06 |
transcript.pyannote[2945].start |
20954.95034375 |
transcript.pyannote[2945].end |
20956.77284375 |
transcript.pyannote[2946].speaker |
SPEAKER_06 |
transcript.pyannote[2946].start |
20957.71784375 |
transcript.pyannote[2946].end |
20961.14346875 |
transcript.pyannote[2947].speaker |
SPEAKER_06 |
transcript.pyannote[2947].start |
20961.90284375 |
transcript.pyannote[2947].end |
20967.40409375 |
transcript.pyannote[2948].speaker |
SPEAKER_06 |
transcript.pyannote[2948].start |
20968.55159375 |
transcript.pyannote[2948].end |
20971.11659375 |
transcript.pyannote[2949].speaker |
SPEAKER_06 |
transcript.pyannote[2949].start |
20971.58909375 |
transcript.pyannote[2949].end |
20976.68534375 |
transcript.pyannote[2950].speaker |
SPEAKER_06 |
transcript.pyannote[2950].start |
20977.10721875 |
transcript.pyannote[2950].end |
20977.84971875 |
transcript.pyannote[2951].speaker |
SPEAKER_06 |
transcript.pyannote[2951].start |
20979.25034375 |
transcript.pyannote[2951].end |
20983.92471875 |
transcript.pyannote[2952].speaker |
SPEAKER_06 |
transcript.pyannote[2952].start |
20984.70096875 |
transcript.pyannote[2952].end |
20988.48096875 |
transcript.pyannote[2953].speaker |
SPEAKER_06 |
transcript.pyannote[2953].start |
20988.93659375 |
transcript.pyannote[2953].end |
20990.53971875 |
transcript.pyannote[2954].speaker |
SPEAKER_06 |
transcript.pyannote[2954].start |
20991.01221875 |
transcript.pyannote[2954].end |
20991.67034375 |
transcript.pyannote[2955].speaker |
SPEAKER_06 |
transcript.pyannote[2955].start |
20992.51409375 |
transcript.pyannote[2955].end |
20993.00346875 |
transcript.pyannote[2956].speaker |
SPEAKER_06 |
transcript.pyannote[2956].start |
20993.02034375 |
transcript.pyannote[2956].end |
20993.03721875 |
transcript.pyannote[2957].speaker |
SPEAKER_06 |
transcript.pyannote[2957].start |
20993.07096875 |
transcript.pyannote[2957].end |
20994.23534375 |
transcript.pyannote[2958].speaker |
SPEAKER_06 |
transcript.pyannote[2958].start |
20995.99034375 |
transcript.pyannote[2958].end |
20998.80846875 |
transcript.pyannote[2959].speaker |
SPEAKER_06 |
transcript.pyannote[2959].start |
20999.07846875 |
transcript.pyannote[2959].end |
21000.29346875 |
transcript.pyannote[2960].speaker |
SPEAKER_06 |
transcript.pyannote[2960].start |
21001.15409375 |
transcript.pyannote[2960].end |
21001.57596875 |
transcript.pyannote[2961].speaker |
SPEAKER_06 |
transcript.pyannote[2961].start |
21001.74471875 |
transcript.pyannote[2961].end |
21004.59659375 |
transcript.pyannote[2962].speaker |
SPEAKER_06 |
transcript.pyannote[2962].start |
21005.01846875 |
transcript.pyannote[2962].end |
21009.15284375 |
transcript.pyannote[2963].speaker |
SPEAKER_06 |
transcript.pyannote[2963].start |
21009.38909375 |
transcript.pyannote[2963].end |
21018.61971875 |
transcript.pyannote[2964].speaker |
SPEAKER_06 |
transcript.pyannote[2964].start |
21019.34534375 |
transcript.pyannote[2964].end |
21021.20159375 |
transcript.pyannote[2965].speaker |
SPEAKER_06 |
transcript.pyannote[2965].start |
21021.53909375 |
transcript.pyannote[2965].end |
21028.32284375 |
transcript.pyannote[2966].speaker |
SPEAKER_06 |
transcript.pyannote[2966].start |
21029.84159375 |
transcript.pyannote[2966].end |
21031.96784375 |
transcript.pyannote[2967].speaker |
SPEAKER_06 |
transcript.pyannote[2967].start |
21033.16596875 |
transcript.pyannote[2967].end |
21034.09409375 |
transcript.pyannote[2968].speaker |
SPEAKER_54 |
transcript.pyannote[2968].start |
21035.03909375 |
transcript.pyannote[2968].end |
21038.36346875 |
transcript.pyannote[2969].speaker |
SPEAKER_06 |
transcript.pyannote[2969].start |
21035.69721875 |
transcript.pyannote[2969].end |
21040.55721875 |
transcript.pyannote[2970].speaker |
SPEAKER_54 |
transcript.pyannote[2970].start |
21039.51096875 |
transcript.pyannote[2970].end |
21041.31659375 |
transcript.pyannote[2971].speaker |
SPEAKER_06 |
transcript.pyannote[2971].start |
21042.81846875 |
transcript.pyannote[2971].end |
21044.10096875 |
transcript.pyannote[2972].speaker |
SPEAKER_06 |
transcript.pyannote[2972].start |
21045.33284375 |
transcript.pyannote[2972].end |
21046.05846875 |
transcript.pyannote[2973].speaker |
SPEAKER_06 |
transcript.pyannote[2973].start |
21046.49721875 |
transcript.pyannote[2973].end |
21046.98659375 |
transcript.pyannote[2974].speaker |
SPEAKER_59 |
transcript.pyannote[2974].start |
21049.01159375 |
transcript.pyannote[2974].end |
21049.21409375 |
transcript.pyannote[2975].speaker |
SPEAKER_06 |
transcript.pyannote[2975].start |
21049.21409375 |
transcript.pyannote[2975].end |
21049.87221875 |
transcript.pyannote[2976].speaker |
SPEAKER_06 |
transcript.pyannote[2976].start |
21050.05784375 |
transcript.pyannote[2976].end |
21051.66096875 |
transcript.pyannote[2977].speaker |
SPEAKER_06 |
transcript.pyannote[2977].start |
21053.29784375 |
transcript.pyannote[2977].end |
21054.17534375 |
transcript.pyannote[2978].speaker |
SPEAKER_06 |
transcript.pyannote[2978].start |
21054.73221875 |
transcript.pyannote[2978].end |
21057.24659375 |
transcript.pyannote[2979].speaker |
SPEAKER_06 |
transcript.pyannote[2979].start |
21058.37721875 |
transcript.pyannote[2979].end |
21058.66409375 |
transcript.pyannote[2980].speaker |
SPEAKER_06 |
transcript.pyannote[2980].start |
21059.45721875 |
transcript.pyannote[2980].end |
21060.67221875 |
transcript.pyannote[2981].speaker |
SPEAKER_06 |
transcript.pyannote[2981].start |
21061.02659375 |
transcript.pyannote[2981].end |
21061.48221875 |
transcript.pyannote[2982].speaker |
SPEAKER_06 |
transcript.pyannote[2982].start |
21062.05596875 |
transcript.pyannote[2982].end |
21063.64221875 |
transcript.pyannote[2983].speaker |
SPEAKER_06 |
transcript.pyannote[2983].start |
21063.77721875 |
transcript.pyannote[2983].end |
21065.48159375 |
transcript.pyannote[2984].speaker |
SPEAKER_06 |
transcript.pyannote[2984].start |
21065.80221875 |
transcript.pyannote[2984].end |
21071.15159375 |
transcript.pyannote[2985].speaker |
SPEAKER_06 |
transcript.pyannote[2985].start |
21071.42159375 |
transcript.pyannote[2985].end |
21089.86596875 |
transcript.pyannote[2986].speaker |
SPEAKER_06 |
transcript.pyannote[2986].start |
21090.45659375 |
transcript.pyannote[2986].end |
21091.43534375 |
transcript.pyannote[2987].speaker |
SPEAKER_06 |
transcript.pyannote[2987].start |
21091.85721875 |
transcript.pyannote[2987].end |
21093.08909375 |
transcript.pyannote[2988].speaker |
SPEAKER_06 |
transcript.pyannote[2988].start |
21093.10596875 |
transcript.pyannote[2988].end |
21095.90721875 |
transcript.pyannote[2989].speaker |
SPEAKER_06 |
transcript.pyannote[2989].start |
21096.22784375 |
transcript.pyannote[2989].end |
21097.08846875 |
transcript.pyannote[2990].speaker |
SPEAKER_06 |
transcript.pyannote[2990].start |
21097.94909375 |
transcript.pyannote[2990].end |
21101.57721875 |
transcript.pyannote[2991].speaker |
SPEAKER_06 |
transcript.pyannote[2991].start |
21102.08346875 |
transcript.pyannote[2991].end |
21105.17159375 |
transcript.pyannote[2992].speaker |
SPEAKER_06 |
transcript.pyannote[2992].start |
21105.66096875 |
transcript.pyannote[2992].end |
21111.93846875 |
transcript.pyannote[2993].speaker |
SPEAKER_06 |
transcript.pyannote[2993].start |
21112.32659375 |
transcript.pyannote[2993].end |
21112.76534375 |
transcript.pyannote[2994].speaker |
SPEAKER_06 |
transcript.pyannote[2994].start |
21113.37284375 |
transcript.pyannote[2994].end |
21118.04721875 |
transcript.pyannote[2995].speaker |
SPEAKER_06 |
transcript.pyannote[2995].start |
21118.11471875 |
transcript.pyannote[2995].end |
21118.63784375 |
transcript.pyannote[2996].speaker |
SPEAKER_06 |
transcript.pyannote[2996].start |
21118.95846875 |
transcript.pyannote[2996].end |
21129.62346875 |
transcript.pyannote[2997].speaker |
SPEAKER_47 |
transcript.pyannote[2997].start |
21131.27721875 |
transcript.pyannote[2997].end |
21156.52221875 |
transcript.pyannote[2998].speaker |
SPEAKER_06 |
transcript.pyannote[2998].start |
21156.35346875 |
transcript.pyannote[2998].end |
21165.43221875 |
transcript.pyannote[2999].speaker |
SPEAKER_06 |
transcript.pyannote[2999].start |
21166.27596875 |
transcript.pyannote[2999].end |
21173.24534375 |
transcript.pyannote[3000].speaker |
SPEAKER_06 |
transcript.pyannote[3000].start |
21173.76846875 |
transcript.pyannote[3000].end |
21180.24846875 |
transcript.pyannote[3001].speaker |
SPEAKER_06 |
transcript.pyannote[3001].start |
21181.07534375 |
transcript.pyannote[3001].end |
21182.71221875 |
transcript.pyannote[3002].speaker |
SPEAKER_06 |
transcript.pyannote[3002].start |
21183.04971875 |
transcript.pyannote[3002].end |
21183.62346875 |
transcript.pyannote[3003].speaker |
SPEAKER_06 |
transcript.pyannote[3003].start |
21184.04534375 |
transcript.pyannote[3003].end |
21186.57659375 |
transcript.pyannote[3004].speaker |
SPEAKER_06 |
transcript.pyannote[3004].start |
21187.38659375 |
transcript.pyannote[3004].end |
21214.87596875 |
transcript.pyannote[3005].speaker |
SPEAKER_06 |
transcript.pyannote[3005].start |
21215.36534375 |
transcript.pyannote[3005].end |
21216.51284375 |
transcript.pyannote[3006].speaker |
SPEAKER_06 |
transcript.pyannote[3006].start |
21217.10346875 |
transcript.pyannote[3006].end |
21230.24909375 |
transcript.pyannote[3007].speaker |
SPEAKER_06 |
transcript.pyannote[3007].start |
21230.82284375 |
transcript.pyannote[3007].end |
21246.98909375 |
transcript.pyannote[3008].speaker |
SPEAKER_54 |
transcript.pyannote[3008].start |
21248.05221875 |
transcript.pyannote[3008].end |
21253.40159375 |
transcript.pyannote[3009].speaker |
SPEAKER_06 |
transcript.pyannote[3009].start |
21253.40159375 |
transcript.pyannote[3009].end |
21254.97096875 |
transcript.pyannote[3010].speaker |
SPEAKER_54 |
transcript.pyannote[3010].start |
21254.97096875 |
transcript.pyannote[3010].end |
21255.30846875 |
transcript.pyannote[3011].speaker |
SPEAKER_06 |
transcript.pyannote[3011].start |
21255.30846875 |
transcript.pyannote[3011].end |
21260.37096875 |
transcript.pyannote[3012].speaker |
SPEAKER_54 |
transcript.pyannote[3012].start |
21256.32096875 |
transcript.pyannote[3012].end |
21257.97471875 |
transcript.pyannote[3013].speaker |
SPEAKER_43 |
transcript.pyannote[3013].start |
21257.97471875 |
transcript.pyannote[3013].end |
21260.43846875 |
transcript.pyannote[3014].speaker |
SPEAKER_43 |
transcript.pyannote[3014].start |
21261.09659375 |
transcript.pyannote[3014].end |
21262.14284375 |
transcript.pyannote[3015].speaker |
SPEAKER_43 |
transcript.pyannote[3015].start |
21262.46346875 |
transcript.pyannote[3015].end |
21263.52659375 |
transcript.pyannote[3016].speaker |
SPEAKER_32 |
transcript.pyannote[3016].start |
21272.80784375 |
transcript.pyannote[3016].end |
21276.36846875 |
transcript.pyannote[3017].speaker |
SPEAKER_32 |
transcript.pyannote[3017].start |
21277.19534375 |
transcript.pyannote[3017].end |
21279.00096875 |
transcript.pyannote[3018].speaker |
SPEAKER_32 |
transcript.pyannote[3018].start |
21279.20346875 |
transcript.pyannote[3018].end |
21281.29596875 |
transcript.pyannote[3019].speaker |
SPEAKER_32 |
transcript.pyannote[3019].start |
21281.92034375 |
transcript.pyannote[3019].end |
21283.23659375 |
transcript.pyannote[3020].speaker |
SPEAKER_32 |
transcript.pyannote[3020].start |
21286.27409375 |
transcript.pyannote[3020].end |
21286.29096875 |
transcript.pyannote[3021].speaker |
SPEAKER_43 |
transcript.pyannote[3021].start |
21286.29096875 |
transcript.pyannote[3021].end |
21286.78034375 |
transcript.pyannote[3022].speaker |
SPEAKER_43 |
transcript.pyannote[3022].start |
21286.96596875 |
transcript.pyannote[3022].end |
21287.03346875 |
transcript.pyannote[3023].speaker |
SPEAKER_43 |
transcript.pyannote[3023].start |
21287.13471875 |
transcript.pyannote[3023].end |
21288.53534375 |
transcript.pyannote[3024].speaker |
SPEAKER_32 |
transcript.pyannote[3024].start |
21294.93096875 |
transcript.pyannote[3024].end |
21301.44471875 |
transcript.pyannote[3025].speaker |
SPEAKER_32 |
transcript.pyannote[3025].start |
21301.49534375 |
transcript.pyannote[3025].end |
21306.22034375 |
transcript.pyannote[3026].speaker |
SPEAKER_32 |
transcript.pyannote[3026].start |
21306.52409375 |
transcript.pyannote[3026].end |
21310.74284375 |
transcript.pyannote[3027].speaker |
SPEAKER_32 |
transcript.pyannote[3027].start |
21311.26596875 |
transcript.pyannote[3027].end |
21329.72721875 |
transcript.pyannote[3028].speaker |
SPEAKER_32 |
transcript.pyannote[3028].start |
21330.75659375 |
transcript.pyannote[3028].end |
21332.69721875 |
transcript.pyannote[3029].speaker |
SPEAKER_32 |
transcript.pyannote[3029].start |
21333.55784375 |
transcript.pyannote[3029].end |
21334.65471875 |
transcript.pyannote[3030].speaker |
SPEAKER_32 |
transcript.pyannote[3030].start |
21336.19034375 |
transcript.pyannote[3030].end |
21337.21971875 |
transcript.pyannote[3031].speaker |
SPEAKER_32 |
transcript.pyannote[3031].start |
21337.55721875 |
transcript.pyannote[3031].end |
21341.48909375 |
transcript.pyannote[3032].speaker |
SPEAKER_32 |
transcript.pyannote[3032].start |
21341.96159375 |
transcript.pyannote[3032].end |
21342.78846875 |
transcript.pyannote[3033].speaker |
SPEAKER_32 |
transcript.pyannote[3033].start |
21343.53096875 |
transcript.pyannote[3033].end |
21346.65284375 |
transcript.pyannote[3034].speaker |
SPEAKER_32 |
transcript.pyannote[3034].start |
21346.77096875 |
transcript.pyannote[3034].end |
21357.31784375 |
transcript.pyannote[3035].speaker |
SPEAKER_32 |
transcript.pyannote[3035].start |
21357.68909375 |
transcript.pyannote[3035].end |
21359.03909375 |
transcript.pyannote[3036].speaker |
SPEAKER_32 |
transcript.pyannote[3036].start |
21359.32596875 |
transcript.pyannote[3036].end |
21362.81909375 |
transcript.pyannote[3037].speaker |
SPEAKER_32 |
transcript.pyannote[3037].start |
21363.19034375 |
transcript.pyannote[3037].end |
21387.22034375 |
transcript.pyannote[3038].speaker |
SPEAKER_32 |
transcript.pyannote[3038].start |
21387.57471875 |
transcript.pyannote[3038].end |
21388.09784375 |
transcript.pyannote[3039].speaker |
SPEAKER_31 |
transcript.pyannote[3039].start |
21388.09784375 |
transcript.pyannote[3039].end |
21404.97284375 |
transcript.pyannote[3040].speaker |
SPEAKER_32 |
transcript.pyannote[3040].start |
21404.97284375 |
transcript.pyannote[3040].end |
21408.06096875 |
transcript.pyannote[3041].speaker |
SPEAKER_32 |
transcript.pyannote[3041].start |
21408.34784375 |
transcript.pyannote[3041].end |
21427.26471875 |
transcript.pyannote[3042].speaker |
SPEAKER_32 |
transcript.pyannote[3042].start |
21427.55159375 |
transcript.pyannote[3042].end |
21428.02409375 |
transcript.pyannote[3043].speaker |
SPEAKER_31 |
transcript.pyannote[3043].start |
21428.02409375 |
transcript.pyannote[3043].end |
21435.26346875 |
transcript.pyannote[3044].speaker |
SPEAKER_31 |
transcript.pyannote[3044].start |
21435.95534375 |
transcript.pyannote[3044].end |
21438.72284375 |
transcript.pyannote[3045].speaker |
SPEAKER_31 |
transcript.pyannote[3045].start |
21438.89159375 |
transcript.pyannote[3045].end |
21445.70909375 |
transcript.pyannote[3046].speaker |
SPEAKER_32 |
transcript.pyannote[3046].start |
21445.70909375 |
transcript.pyannote[3046].end |
21445.72596875 |
transcript.pyannote[3047].speaker |
SPEAKER_31 |
transcript.pyannote[3047].start |
21446.56971875 |
transcript.pyannote[3047].end |
21446.97471875 |
transcript.pyannote[3048].speaker |
SPEAKER_32 |
transcript.pyannote[3048].start |
21446.97471875 |
transcript.pyannote[3048].end |
21451.66596875 |
transcript.pyannote[3049].speaker |
SPEAKER_31 |
transcript.pyannote[3049].start |
21451.66596875 |
transcript.pyannote[3049].end |
21451.68284375 |
transcript.pyannote[3050].speaker |
SPEAKER_32 |
transcript.pyannote[3050].start |
21452.47596875 |
transcript.pyannote[3050].end |
21453.03284375 |
transcript.pyannote[3051].speaker |
SPEAKER_31 |
transcript.pyannote[3051].start |
21453.03284375 |
transcript.pyannote[3051].end |
21453.38721875 |
transcript.pyannote[3052].speaker |
SPEAKER_31 |
transcript.pyannote[3052].start |
21454.07909375 |
transcript.pyannote[3052].end |
21455.66534375 |
transcript.pyannote[3053].speaker |
SPEAKER_31 |
transcript.pyannote[3053].start |
21455.80034375 |
transcript.pyannote[3053].end |
21455.86784375 |
transcript.pyannote[3054].speaker |
SPEAKER_31 |
transcript.pyannote[3054].start |
21455.96909375 |
transcript.pyannote[3054].end |
21456.03659375 |
transcript.pyannote[3055].speaker |
SPEAKER_31 |
transcript.pyannote[3055].start |
21456.50909375 |
transcript.pyannote[3055].end |
21461.18346875 |
transcript.pyannote[3056].speaker |
SPEAKER_31 |
transcript.pyannote[3056].start |
21461.41971875 |
transcript.pyannote[3056].end |
21462.33096875 |
transcript.pyannote[3057].speaker |
SPEAKER_32 |
transcript.pyannote[3057].start |
21462.33096875 |
transcript.pyannote[3057].end |
21462.36471875 |
transcript.pyannote[3058].speaker |
SPEAKER_31 |
transcript.pyannote[3058].start |
21462.70221875 |
transcript.pyannote[3058].end |
21462.97221875 |
transcript.pyannote[3059].speaker |
SPEAKER_32 |
transcript.pyannote[3059].start |
21462.97221875 |
transcript.pyannote[3059].end |
21466.44846875 |
transcript.pyannote[3060].speaker |
SPEAKER_32 |
transcript.pyannote[3060].start |
21467.27534375 |
transcript.pyannote[3060].end |
21469.36784375 |
transcript.pyannote[3061].speaker |
SPEAKER_32 |
transcript.pyannote[3061].start |
21469.84034375 |
transcript.pyannote[3061].end |
21473.95784375 |
transcript.pyannote[3062].speaker |
SPEAKER_32 |
transcript.pyannote[3062].start |
21474.31221875 |
transcript.pyannote[3062].end |
21475.34159375 |
transcript.pyannote[3063].speaker |
SPEAKER_32 |
transcript.pyannote[3063].start |
21475.44284375 |
transcript.pyannote[3063].end |
21503.53971875 |
transcript.pyannote[3064].speaker |
SPEAKER_32 |
transcript.pyannote[3064].start |
21504.04596875 |
transcript.pyannote[3064].end |
21523.38471875 |
transcript.pyannote[3065].speaker |
SPEAKER_32 |
transcript.pyannote[3065].start |
21523.62096875 |
transcript.pyannote[3065].end |
21523.99221875 |
transcript.pyannote[3066].speaker |
SPEAKER_47 |
transcript.pyannote[3066].start |
21523.99221875 |
transcript.pyannote[3066].end |
21553.47284375 |
transcript.pyannote[3067].speaker |
SPEAKER_32 |
transcript.pyannote[3067].start |
21551.95409375 |
transcript.pyannote[3067].end |
21553.48971875 |
transcript.pyannote[3068].speaker |
SPEAKER_47 |
transcript.pyannote[3068].start |
21553.48971875 |
transcript.pyannote[3068].end |
21553.96221875 |
transcript.pyannote[3069].speaker |
SPEAKER_32 |
transcript.pyannote[3069].start |
21553.96221875 |
transcript.pyannote[3069].end |
21556.32471875 |
transcript.pyannote[3070].speaker |
SPEAKER_47 |
transcript.pyannote[3070].start |
21556.44284375 |
transcript.pyannote[3070].end |
21557.74221875 |
transcript.pyannote[3071].speaker |
SPEAKER_32 |
transcript.pyannote[3071].start |
21557.74221875 |
transcript.pyannote[3071].end |
21573.80721875 |
transcript.pyannote[3072].speaker |
SPEAKER_47 |
transcript.pyannote[3072].start |
21572.60909375 |
transcript.pyannote[3072].end |
21608.97471875 |
transcript.pyannote[3073].speaker |
SPEAKER_32 |
transcript.pyannote[3073].start |
21608.97471875 |
transcript.pyannote[3073].end |
21616.04534375 |
transcript.pyannote[3074].speaker |
SPEAKER_32 |
transcript.pyannote[3074].start |
21616.63596875 |
transcript.pyannote[3074].end |
21621.95159375 |
transcript.pyannote[3075].speaker |
SPEAKER_32 |
transcript.pyannote[3075].start |
21622.03596875 |
transcript.pyannote[3075].end |
21623.48721875 |
transcript.pyannote[3076].speaker |
SPEAKER_32 |
transcript.pyannote[3076].start |
21623.53784375 |
transcript.pyannote[3076].end |
21650.87534375 |
transcript.pyannote[3077].speaker |
SPEAKER_32 |
transcript.pyannote[3077].start |
21651.31409375 |
transcript.pyannote[3077].end |
21655.16159375 |
transcript.pyannote[3078].speaker |
SPEAKER_47 |
transcript.pyannote[3078].start |
21655.16159375 |
transcript.pyannote[3078].end |
21677.11596875 |
transcript.pyannote[3079].speaker |
SPEAKER_32 |
transcript.pyannote[3079].start |
21677.11596875 |
transcript.pyannote[3079].end |
21697.11284375 |
transcript.pyannote[3080].speaker |
SPEAKER_32 |
transcript.pyannote[3080].start |
21697.14659375 |
transcript.pyannote[3080].end |
21697.18034375 |
transcript.pyannote[3081].speaker |
SPEAKER_39 |
transcript.pyannote[3081].start |
21697.18034375 |
transcript.pyannote[3081].end |
21698.04096875 |
transcript.pyannote[3082].speaker |
SPEAKER_32 |
transcript.pyannote[3082].start |
21697.28159375 |
transcript.pyannote[3082].end |
21697.29846875 |
transcript.pyannote[3083].speaker |
SPEAKER_32 |
transcript.pyannote[3083].start |
21697.80471875 |
transcript.pyannote[3083].end |
21698.59784375 |
transcript.pyannote[3084].speaker |
SPEAKER_43 |
transcript.pyannote[3084].start |
21698.59784375 |
transcript.pyannote[3084].end |
21706.03971875 |
transcript.pyannote[3085].speaker |
SPEAKER_23 |
transcript.pyannote[3085].start |
21713.22846875 |
transcript.pyannote[3085].end |
21715.45596875 |
transcript.pyannote[3086].speaker |
SPEAKER_44 |
transcript.pyannote[3086].start |
21715.87784375 |
transcript.pyannote[3086].end |
21717.27846875 |
transcript.pyannote[3087].speaker |
SPEAKER_23 |
transcript.pyannote[3087].start |
21717.66659375 |
transcript.pyannote[3087].end |
21718.17284375 |
transcript.pyannote[3088].speaker |
SPEAKER_23 |
transcript.pyannote[3088].start |
21719.10096875 |
transcript.pyannote[3088].end |
21720.16409375 |
transcript.pyannote[3089].speaker |
SPEAKER_44 |
transcript.pyannote[3089].start |
21720.46784375 |
transcript.pyannote[3089].end |
21720.97409375 |
transcript.pyannote[3090].speaker |
SPEAKER_43 |
transcript.pyannote[3090].start |
21720.97409375 |
transcript.pyannote[3090].end |
21721.63221875 |
transcript.pyannote[3091].speaker |
SPEAKER_43 |
transcript.pyannote[3091].start |
21723.67409375 |
transcript.pyannote[3091].end |
21724.02846875 |
transcript.pyannote[3092].speaker |
SPEAKER_47 |
transcript.pyannote[3092].start |
21724.02846875 |
transcript.pyannote[3092].end |
21724.72034375 |
transcript.pyannote[3093].speaker |
SPEAKER_23 |
transcript.pyannote[3093].start |
21724.95659375 |
transcript.pyannote[3093].end |
21724.97346875 |
transcript.pyannote[3094].speaker |
SPEAKER_13 |
transcript.pyannote[3094].start |
21724.97346875 |
transcript.pyannote[3094].end |
21725.41221875 |
transcript.pyannote[3095].speaker |
SPEAKER_13 |
transcript.pyannote[3095].start |
21727.25159375 |
transcript.pyannote[3095].end |
21730.99784375 |
transcript.pyannote[3096].speaker |
SPEAKER_13 |
transcript.pyannote[3096].start |
21731.41971875 |
transcript.pyannote[3096].end |
21732.97221875 |
transcript.pyannote[3097].speaker |
SPEAKER_13 |
transcript.pyannote[3097].start |
21734.25471875 |
transcript.pyannote[3097].end |
21734.28846875 |
transcript.pyannote[3098].speaker |
SPEAKER_54 |
transcript.pyannote[3098].start |
21734.28846875 |
transcript.pyannote[3098].end |
21734.35596875 |
transcript.pyannote[3099].speaker |
SPEAKER_13 |
transcript.pyannote[3099].start |
21734.35596875 |
transcript.pyannote[3099].end |
21734.91284375 |
transcript.pyannote[3100].speaker |
SPEAKER_54 |
transcript.pyannote[3100].start |
21734.47409375 |
transcript.pyannote[3100].end |
21735.13221875 |
transcript.pyannote[3101].speaker |
SPEAKER_13 |
transcript.pyannote[3101].start |
21735.53721875 |
transcript.pyannote[3101].end |
21736.65096875 |
transcript.pyannote[3102].speaker |
SPEAKER_13 |
transcript.pyannote[3102].start |
21737.10659375 |
transcript.pyannote[3102].end |
21737.52846875 |
transcript.pyannote[3103].speaker |
SPEAKER_13 |
transcript.pyannote[3103].start |
21738.22034375 |
transcript.pyannote[3103].end |
21741.84846875 |
transcript.pyannote[3104].speaker |
SPEAKER_13 |
transcript.pyannote[3104].start |
21742.48971875 |
transcript.pyannote[3104].end |
21744.10971875 |
transcript.pyannote[3105].speaker |
SPEAKER_13 |
transcript.pyannote[3105].start |
21744.43034375 |
transcript.pyannote[3105].end |
21747.24846875 |
transcript.pyannote[3106].speaker |
SPEAKER_13 |
transcript.pyannote[3106].start |
21748.37909375 |
transcript.pyannote[3106].end |
21750.72471875 |
transcript.pyannote[3107].speaker |
SPEAKER_13 |
transcript.pyannote[3107].start |
21751.23096875 |
transcript.pyannote[3107].end |
21752.85096875 |
transcript.pyannote[3108].speaker |
SPEAKER_13 |
transcript.pyannote[3108].start |
21753.30659375 |
transcript.pyannote[3108].end |
21754.65659375 |
transcript.pyannote[3109].speaker |
SPEAKER_13 |
transcript.pyannote[3109].start |
21754.82534375 |
transcript.pyannote[3109].end |
21756.85034375 |
transcript.pyannote[3110].speaker |
SPEAKER_13 |
transcript.pyannote[3110].start |
21757.62659375 |
transcript.pyannote[3110].end |
21761.64284375 |
transcript.pyannote[3111].speaker |
SPEAKER_13 |
transcript.pyannote[3111].start |
21762.03096875 |
transcript.pyannote[3111].end |
21764.00534375 |
transcript.pyannote[3112].speaker |
SPEAKER_13 |
transcript.pyannote[3112].start |
21764.68034375 |
transcript.pyannote[3112].end |
21766.57034375 |
transcript.pyannote[3113].speaker |
SPEAKER_13 |
transcript.pyannote[3113].start |
21766.72221875 |
transcript.pyannote[3113].end |
21770.29971875 |
transcript.pyannote[3114].speaker |
SPEAKER_13 |
transcript.pyannote[3114].start |
21771.02534375 |
transcript.pyannote[3114].end |
21772.52721875 |
transcript.pyannote[3115].speaker |
SPEAKER_13 |
transcript.pyannote[3115].start |
21773.50596875 |
transcript.pyannote[3115].end |
21775.31159375 |
transcript.pyannote[3116].speaker |
SPEAKER_13 |
transcript.pyannote[3116].start |
21775.78409375 |
transcript.pyannote[3116].end |
21777.85971875 |
transcript.pyannote[3117].speaker |
SPEAKER_13 |
transcript.pyannote[3117].start |
21778.77096875 |
transcript.pyannote[3117].end |
21783.83346875 |
transcript.pyannote[3118].speaker |
SPEAKER_13 |
transcript.pyannote[3118].start |
21784.13721875 |
transcript.pyannote[3118].end |
21785.79096875 |
transcript.pyannote[3119].speaker |
SPEAKER_13 |
transcript.pyannote[3119].start |
21786.21284375 |
transcript.pyannote[3119].end |
21787.20846875 |
transcript.pyannote[3120].speaker |
SPEAKER_13 |
transcript.pyannote[3120].start |
21787.88346875 |
transcript.pyannote[3120].end |
21789.72284375 |
transcript.pyannote[3121].speaker |
SPEAKER_13 |
transcript.pyannote[3121].start |
21790.07721875 |
transcript.pyannote[3121].end |
21790.92096875 |
transcript.pyannote[3122].speaker |
SPEAKER_13 |
transcript.pyannote[3122].start |
21791.15721875 |
transcript.pyannote[3122].end |
21792.35534375 |
transcript.pyannote[3123].speaker |
SPEAKER_13 |
transcript.pyannote[3123].start |
21793.01346875 |
transcript.pyannote[3123].end |
21793.78971875 |
transcript.pyannote[3124].speaker |
SPEAKER_13 |
transcript.pyannote[3124].start |
21794.17784375 |
transcript.pyannote[3124].end |
21794.93721875 |
transcript.pyannote[3125].speaker |
SPEAKER_59 |
transcript.pyannote[3125].start |
21795.12284375 |
transcript.pyannote[3125].end |
21795.47721875 |
transcript.pyannote[3126].speaker |
SPEAKER_13 |
transcript.pyannote[3126].start |
21795.29159375 |
transcript.pyannote[3126].end |
21796.10159375 |
transcript.pyannote[3127].speaker |
SPEAKER_13 |
transcript.pyannote[3127].start |
21796.42221875 |
transcript.pyannote[3127].end |
21799.47659375 |
transcript.pyannote[3128].speaker |
SPEAKER_13 |
transcript.pyannote[3128].start |
21799.98284375 |
transcript.pyannote[3128].end |
21802.22721875 |
transcript.pyannote[3129].speaker |
SPEAKER_13 |
transcript.pyannote[3129].start |
21802.73346875 |
transcript.pyannote[3129].end |
21804.60659375 |
transcript.pyannote[3130].speaker |
SPEAKER_13 |
transcript.pyannote[3130].start |
21804.97784375 |
transcript.pyannote[3130].end |
21806.34471875 |
transcript.pyannote[3131].speaker |
SPEAKER_13 |
transcript.pyannote[3131].start |
21806.74971875 |
transcript.pyannote[3131].end |
21807.74534375 |
transcript.pyannote[3132].speaker |
SPEAKER_13 |
transcript.pyannote[3132].start |
21808.01534375 |
transcript.pyannote[3132].end |
21809.24721875 |
transcript.pyannote[3133].speaker |
SPEAKER_13 |
transcript.pyannote[3133].start |
21809.38221875 |
transcript.pyannote[3133].end |
21810.32721875 |
transcript.pyannote[3134].speaker |
SPEAKER_13 |
transcript.pyannote[3134].start |
21810.69846875 |
transcript.pyannote[3134].end |
21811.54221875 |
transcript.pyannote[3135].speaker |
SPEAKER_13 |
transcript.pyannote[3135].start |
21812.03159375 |
transcript.pyannote[3135].end |
21818.17409375 |
transcript.pyannote[3136].speaker |
SPEAKER_13 |
transcript.pyannote[3136].start |
21818.89971875 |
transcript.pyannote[3136].end |
21820.97534375 |
transcript.pyannote[3137].speaker |
SPEAKER_13 |
transcript.pyannote[3137].start |
21821.65034375 |
transcript.pyannote[3137].end |
21823.21971875 |
transcript.pyannote[3138].speaker |
SPEAKER_13 |
transcript.pyannote[3138].start |
21823.62471875 |
transcript.pyannote[3138].end |
21824.83971875 |
transcript.pyannote[3139].speaker |
SPEAKER_13 |
transcript.pyannote[3139].start |
21825.88596875 |
transcript.pyannote[3139].end |
21827.86034375 |
transcript.pyannote[3140].speaker |
SPEAKER_13 |
transcript.pyannote[3140].start |
21827.99534375 |
transcript.pyannote[3140].end |
21829.42971875 |
transcript.pyannote[3141].speaker |
SPEAKER_13 |
transcript.pyannote[3141].start |
21829.95284375 |
transcript.pyannote[3141].end |
21831.03284375 |
transcript.pyannote[3142].speaker |
SPEAKER_13 |
transcript.pyannote[3142].start |
21831.30284375 |
transcript.pyannote[3142].end |
21834.44159375 |
transcript.pyannote[3143].speaker |
SPEAKER_13 |
transcript.pyannote[3143].start |
21835.65659375 |
transcript.pyannote[3143].end |
21836.51721875 |
transcript.pyannote[3144].speaker |
SPEAKER_13 |
transcript.pyannote[3144].start |
21837.47909375 |
transcript.pyannote[3144].end |
21841.34346875 |
transcript.pyannote[3145].speaker |
SPEAKER_13 |
transcript.pyannote[3145].start |
21842.10284375 |
transcript.pyannote[3145].end |
21845.93346875 |
transcript.pyannote[3146].speaker |
SPEAKER_13 |
transcript.pyannote[3146].start |
21846.40596875 |
transcript.pyannote[3146].end |
21848.02596875 |
transcript.pyannote[3147].speaker |
SPEAKER_13 |
transcript.pyannote[3147].start |
21848.71784375 |
transcript.pyannote[3147].end |
21849.24096875 |
transcript.pyannote[3148].speaker |
SPEAKER_13 |
transcript.pyannote[3148].start |
21849.98346875 |
transcript.pyannote[3148].end |
21851.06346875 |
transcript.pyannote[3149].speaker |
SPEAKER_13 |
transcript.pyannote[3149].start |
21851.28284375 |
transcript.pyannote[3149].end |
21852.43034375 |
transcript.pyannote[3150].speaker |
SPEAKER_13 |
transcript.pyannote[3150].start |
21852.95346875 |
transcript.pyannote[3150].end |
21854.86034375 |
transcript.pyannote[3151].speaker |
SPEAKER_13 |
transcript.pyannote[3151].start |
21855.43409375 |
transcript.pyannote[3151].end |
21856.75034375 |
transcript.pyannote[3152].speaker |
SPEAKER_13 |
transcript.pyannote[3152].start |
21857.30721875 |
transcript.pyannote[3152].end |
21858.55596875 |
transcript.pyannote[3153].speaker |
SPEAKER_13 |
transcript.pyannote[3153].start |
21859.16346875 |
transcript.pyannote[3153].end |
21861.12096875 |
transcript.pyannote[3154].speaker |
SPEAKER_13 |
transcript.pyannote[3154].start |
21861.86346875 |
transcript.pyannote[3154].end |
21864.12471875 |
transcript.pyannote[3155].speaker |
SPEAKER_13 |
transcript.pyannote[3155].start |
21864.49596875 |
transcript.pyannote[3155].end |
21867.11159375 |
transcript.pyannote[3156].speaker |
SPEAKER_03 |
transcript.pyannote[3156].start |
21866.82471875 |
transcript.pyannote[3156].end |
21867.22971875 |
transcript.pyannote[3157].speaker |
SPEAKER_13 |
transcript.pyannote[3157].start |
21867.83721875 |
transcript.pyannote[3157].end |
21871.00971875 |
transcript.pyannote[3158].speaker |
SPEAKER_13 |
transcript.pyannote[3158].start |
21872.14034375 |
transcript.pyannote[3158].end |
21874.33409375 |
transcript.pyannote[3159].speaker |
SPEAKER_21 |
transcript.pyannote[3159].start |
21874.46909375 |
transcript.pyannote[3159].end |
21874.70534375 |
transcript.pyannote[3160].speaker |
SPEAKER_13 |
transcript.pyannote[3160].start |
21875.05971875 |
transcript.pyannote[3160].end |
21876.69659375 |
transcript.pyannote[3161].speaker |
SPEAKER_13 |
transcript.pyannote[3161].start |
21877.01721875 |
transcript.pyannote[3161].end |
21880.62846875 |
transcript.pyannote[3162].speaker |
SPEAKER_21 |
transcript.pyannote[3162].start |
21877.69221875 |
transcript.pyannote[3162].end |
21878.01284375 |
transcript.pyannote[3163].speaker |
SPEAKER_21 |
transcript.pyannote[3163].start |
21880.96596875 |
transcript.pyannote[3163].end |
21882.33284375 |
transcript.pyannote[3164].speaker |
SPEAKER_13 |
transcript.pyannote[3164].start |
21881.65784375 |
transcript.pyannote[3164].end |
21882.80534375 |
transcript.pyannote[3165].speaker |
SPEAKER_13 |
transcript.pyannote[3165].start |
21883.39596875 |
transcript.pyannote[3165].end |
21885.97784375 |
transcript.pyannote[3166].speaker |
SPEAKER_13 |
transcript.pyannote[3166].start |
21886.48409375 |
transcript.pyannote[3166].end |
21887.66534375 |
transcript.pyannote[3167].speaker |
SPEAKER_13 |
transcript.pyannote[3167].start |
21887.93534375 |
transcript.pyannote[3167].end |
21888.86346875 |
transcript.pyannote[3168].speaker |
SPEAKER_59 |
transcript.pyannote[3168].start |
21888.86346875 |
transcript.pyannote[3168].end |
21889.04909375 |
transcript.pyannote[3169].speaker |
SPEAKER_13 |
transcript.pyannote[3169].start |
21889.04909375 |
transcript.pyannote[3169].end |
21890.44971875 |
transcript.pyannote[3170].speaker |
SPEAKER_13 |
transcript.pyannote[3170].start |
21890.83784375 |
transcript.pyannote[3170].end |
21891.78284375 |
transcript.pyannote[3171].speaker |
SPEAKER_13 |
transcript.pyannote[3171].start |
21892.32284375 |
transcript.pyannote[3171].end |
21893.25096875 |
transcript.pyannote[3172].speaker |
SPEAKER_13 |
transcript.pyannote[3172].start |
21894.16221875 |
transcript.pyannote[3172].end |
21895.59659375 |
transcript.pyannote[3173].speaker |
SPEAKER_13 |
transcript.pyannote[3173].start |
21895.88346875 |
transcript.pyannote[3173].end |
21897.50346875 |
transcript.pyannote[3174].speaker |
SPEAKER_47 |
transcript.pyannote[3174].start |
21898.00971875 |
transcript.pyannote[3174].end |
21922.74846875 |
transcript.pyannote[3175].speaker |
SPEAKER_13 |
transcript.pyannote[3175].start |
21922.12409375 |
transcript.pyannote[3175].end |
21922.95096875 |
transcript.pyannote[3176].speaker |
SPEAKER_13 |
transcript.pyannote[3176].start |
21923.18721875 |
transcript.pyannote[3176].end |
21931.21971875 |
transcript.pyannote[3177].speaker |
SPEAKER_19 |
transcript.pyannote[3177].start |
21928.82346875 |
transcript.pyannote[3177].end |
21929.29596875 |
transcript.pyannote[3178].speaker |
SPEAKER_13 |
transcript.pyannote[3178].start |
21931.55721875 |
transcript.pyannote[3178].end |
21935.59034375 |
transcript.pyannote[3179].speaker |
SPEAKER_13 |
transcript.pyannote[3179].start |
21935.84346875 |
transcript.pyannote[3179].end |
21939.82596875 |
transcript.pyannote[3180].speaker |
SPEAKER_13 |
transcript.pyannote[3180].start |
21940.23096875 |
transcript.pyannote[3180].end |
21943.72409375 |
transcript.pyannote[3181].speaker |
SPEAKER_13 |
transcript.pyannote[3181].start |
21944.43284375 |
transcript.pyannote[3181].end |
21951.23346875 |
transcript.pyannote[3182].speaker |
SPEAKER_13 |
transcript.pyannote[3182].start |
21951.73971875 |
transcript.pyannote[3182].end |
21953.71409375 |
transcript.pyannote[3183].speaker |
SPEAKER_13 |
transcript.pyannote[3183].start |
21954.15284375 |
transcript.pyannote[3183].end |
21955.73909375 |
transcript.pyannote[3184].speaker |
SPEAKER_13 |
transcript.pyannote[3184].start |
21956.34659375 |
transcript.pyannote[3184].end |
21960.51471875 |
transcript.pyannote[3185].speaker |
SPEAKER_13 |
transcript.pyannote[3185].start |
21961.35846875 |
transcript.pyannote[3185].end |
21964.68284375 |
transcript.pyannote[3186].speaker |
SPEAKER_13 |
transcript.pyannote[3186].start |
21965.18909375 |
transcript.pyannote[3186].end |
21967.66971875 |
transcript.pyannote[3187].speaker |
SPEAKER_13 |
transcript.pyannote[3187].start |
21968.19284375 |
transcript.pyannote[3187].end |
21972.14159375 |
transcript.pyannote[3188].speaker |
SPEAKER_13 |
transcript.pyannote[3188].start |
21972.19221875 |
transcript.pyannote[3188].end |
21974.80784375 |
transcript.pyannote[3189].speaker |
SPEAKER_47 |
transcript.pyannote[3189].start |
21975.34784375 |
transcript.pyannote[3189].end |
21987.98721875 |
transcript.pyannote[3190].speaker |
SPEAKER_13 |
transcript.pyannote[3190].start |
21987.58221875 |
transcript.pyannote[3190].end |
21989.89409375 |
transcript.pyannote[3191].speaker |
SPEAKER_13 |
transcript.pyannote[3191].start |
21990.26534375 |
transcript.pyannote[3191].end |
21991.71659375 |
transcript.pyannote[3192].speaker |
SPEAKER_13 |
transcript.pyannote[3192].start |
21992.23971875 |
transcript.pyannote[3192].end |
21993.99471875 |
transcript.pyannote[3193].speaker |
SPEAKER_13 |
transcript.pyannote[3193].start |
21994.34909375 |
transcript.pyannote[3193].end |
21997.70721875 |
transcript.pyannote[3194].speaker |
SPEAKER_13 |
transcript.pyannote[3194].start |
21998.01096875 |
transcript.pyannote[3194].end |
21999.09096875 |
transcript.pyannote[3195].speaker |
SPEAKER_13 |
transcript.pyannote[3195].start |
21999.63096875 |
transcript.pyannote[3195].end |
22000.69409375 |
transcript.pyannote[3196].speaker |
SPEAKER_13 |
transcript.pyannote[3196].start |
22001.26784375 |
transcript.pyannote[3196].end |
22009.38471875 |
transcript.pyannote[3197].speaker |
SPEAKER_13 |
transcript.pyannote[3197].start |
22009.57034375 |
transcript.pyannote[3197].end |
22010.63346875 |
transcript.pyannote[3198].speaker |
SPEAKER_13 |
transcript.pyannote[3198].start |
22011.02159375 |
transcript.pyannote[3198].end |
22013.02971875 |
transcript.pyannote[3199].speaker |
SPEAKER_13 |
transcript.pyannote[3199].start |
22013.23221875 |
transcript.pyannote[3199].end |
22020.06659375 |
transcript.pyannote[3200].speaker |
SPEAKER_13 |
transcript.pyannote[3200].start |
22020.28596875 |
transcript.pyannote[3200].end |
22022.00721875 |
transcript.pyannote[3201].speaker |
SPEAKER_47 |
transcript.pyannote[3201].start |
22022.31096875 |
transcript.pyannote[3201].end |
22044.02909375 |
transcript.pyannote[3202].speaker |
SPEAKER_13 |
transcript.pyannote[3202].start |
22042.79721875 |
transcript.pyannote[3202].end |
22047.03284375 |
transcript.pyannote[3203].speaker |
SPEAKER_13 |
transcript.pyannote[3203].start |
22047.57284375 |
transcript.pyannote[3203].end |
22049.58096875 |
transcript.pyannote[3204].speaker |
SPEAKER_13 |
transcript.pyannote[3204].start |
22050.17159375 |
transcript.pyannote[3204].end |
22050.62721875 |
transcript.pyannote[3205].speaker |
SPEAKER_13 |
transcript.pyannote[3205].start |
22050.74534375 |
transcript.pyannote[3205].end |
22053.93471875 |
transcript.pyannote[3206].speaker |
SPEAKER_13 |
transcript.pyannote[3206].start |
22053.95159375 |
transcript.pyannote[3206].end |
22055.28471875 |
transcript.pyannote[3207].speaker |
SPEAKER_13 |
transcript.pyannote[3207].start |
22055.58846875 |
transcript.pyannote[3207].end |
22057.69784375 |
transcript.pyannote[3208].speaker |
SPEAKER_13 |
transcript.pyannote[3208].start |
22058.30534375 |
transcript.pyannote[3208].end |
22060.26284375 |
transcript.pyannote[3209].speaker |
SPEAKER_13 |
transcript.pyannote[3209].start |
22060.41471875 |
transcript.pyannote[3209].end |
22063.53659375 |
transcript.pyannote[3210].speaker |
SPEAKER_13 |
transcript.pyannote[3210].start |
22063.75596875 |
transcript.pyannote[3210].end |
22066.62471875 |
transcript.pyannote[3211].speaker |
SPEAKER_13 |
transcript.pyannote[3211].start |
22067.33346875 |
transcript.pyannote[3211].end |
22070.64096875 |
transcript.pyannote[3212].speaker |
SPEAKER_13 |
transcript.pyannote[3212].start |
22071.02909375 |
transcript.pyannote[3212].end |
22073.29034375 |
transcript.pyannote[3213].speaker |
SPEAKER_13 |
transcript.pyannote[3213].start |
22074.33659375 |
transcript.pyannote[3213].end |
22077.05346875 |
transcript.pyannote[3214].speaker |
SPEAKER_13 |
transcript.pyannote[3214].start |
22077.40784375 |
transcript.pyannote[3214].end |
22079.48346875 |
transcript.pyannote[3215].speaker |
SPEAKER_13 |
transcript.pyannote[3215].start |
22079.98971875 |
transcript.pyannote[3215].end |
22086.85784375 |
transcript.pyannote[3216].speaker |
SPEAKER_13 |
transcript.pyannote[3216].start |
22087.27971875 |
transcript.pyannote[3216].end |
22089.38909375 |
transcript.pyannote[3217].speaker |
SPEAKER_13 |
transcript.pyannote[3217].start |
22090.06409375 |
transcript.pyannote[3217].end |
22093.00034375 |
transcript.pyannote[3218].speaker |
SPEAKER_47 |
transcript.pyannote[3218].start |
22094.02971875 |
transcript.pyannote[3218].end |
22122.61596875 |
transcript.pyannote[3219].speaker |
SPEAKER_13 |
transcript.pyannote[3219].start |
22117.80659375 |
transcript.pyannote[3219].end |
22121.29971875 |
transcript.pyannote[3220].speaker |
SPEAKER_13 |
transcript.pyannote[3220].start |
22121.83971875 |
transcript.pyannote[3220].end |
22123.83096875 |
transcript.pyannote[3221].speaker |
SPEAKER_13 |
transcript.pyannote[3221].start |
22124.69159375 |
transcript.pyannote[3221].end |
22127.98221875 |
transcript.pyannote[3222].speaker |
SPEAKER_13 |
transcript.pyannote[3222].start |
22128.72471875 |
transcript.pyannote[3222].end |
22133.97284375 |
transcript.pyannote[3223].speaker |
SPEAKER_43 |
transcript.pyannote[3223].start |
22130.49659375 |
transcript.pyannote[3223].end |
22132.45409375 |
transcript.pyannote[3224].speaker |
SPEAKER_43 |
transcript.pyannote[3224].start |
22133.46659375 |
transcript.pyannote[3224].end |
22140.68909375 |
transcript.pyannote[3225].speaker |
SPEAKER_02 |
transcript.pyannote[3225].start |
22143.96284375 |
transcript.pyannote[3225].end |
22144.03034375 |
transcript.pyannote[3226].speaker |
SPEAKER_02 |
transcript.pyannote[3226].start |
22146.98346875 |
transcript.pyannote[3226].end |
22154.34096875 |
transcript.pyannote[3227].speaker |
SPEAKER_44 |
transcript.pyannote[3227].start |
22154.94846875 |
transcript.pyannote[3227].end |
22154.98221875 |
transcript.pyannote[3228].speaker |
SPEAKER_43 |
transcript.pyannote[3228].start |
22154.98221875 |
transcript.pyannote[3228].end |
22155.03284375 |
transcript.pyannote[3229].speaker |
SPEAKER_44 |
transcript.pyannote[3229].start |
22155.03284375 |
transcript.pyannote[3229].end |
22157.63159375 |
transcript.pyannote[3230].speaker |
SPEAKER_02 |
transcript.pyannote[3230].start |
22158.76221875 |
transcript.pyannote[3230].end |
22158.81284375 |
transcript.pyannote[3231].speaker |
SPEAKER_44 |
transcript.pyannote[3231].start |
22159.21784375 |
transcript.pyannote[3231].end |
22159.84221875 |
transcript.pyannote[3232].speaker |
SPEAKER_02 |
transcript.pyannote[3232].start |
22159.89284375 |
transcript.pyannote[3232].end |
22175.46846875 |
transcript.pyannote[3233].speaker |
SPEAKER_02 |
transcript.pyannote[3233].start |
22175.97471875 |
transcript.pyannote[3233].end |
22176.26159375 |
transcript.pyannote[3234].speaker |
SPEAKER_48 |
transcript.pyannote[3234].start |
22176.95346875 |
transcript.pyannote[3234].end |
22190.45346875 |
transcript.pyannote[3235].speaker |
SPEAKER_02 |
transcript.pyannote[3235].start |
22190.45346875 |
transcript.pyannote[3235].end |
22193.00159375 |
transcript.pyannote[3236].speaker |
SPEAKER_48 |
transcript.pyannote[3236].start |
22193.00159375 |
transcript.pyannote[3236].end |
22193.03534375 |
transcript.pyannote[3237].speaker |
SPEAKER_02 |
transcript.pyannote[3237].start |
22193.03534375 |
transcript.pyannote[3237].end |
22193.96346875 |
transcript.pyannote[3238].speaker |
SPEAKER_48 |
transcript.pyannote[3238].start |
22193.96346875 |
transcript.pyannote[3238].end |
22194.21659375 |
transcript.pyannote[3239].speaker |
SPEAKER_48 |
transcript.pyannote[3239].start |
22194.50346875 |
transcript.pyannote[3239].end |
22205.30346875 |
transcript.pyannote[3240].speaker |
SPEAKER_02 |
transcript.pyannote[3240].start |
22205.45534375 |
transcript.pyannote[3240].end |
22213.67346875 |
transcript.pyannote[3241].speaker |
SPEAKER_48 |
transcript.pyannote[3241].start |
22208.89784375 |
transcript.pyannote[3241].end |
22209.35346875 |
transcript.pyannote[3242].speaker |
SPEAKER_48 |
transcript.pyannote[3242].start |
22213.77471875 |
transcript.pyannote[3242].end |
22237.72034375 |
transcript.pyannote[3243].speaker |
SPEAKER_02 |
transcript.pyannote[3243].start |
22237.88909375 |
transcript.pyannote[3243].end |
22257.81846875 |
transcript.pyannote[3244].speaker |
SPEAKER_00 |
transcript.pyannote[3244].start |
22246.74846875 |
transcript.pyannote[3244].end |
22247.11971875 |
transcript.pyannote[3245].speaker |
SPEAKER_02 |
transcript.pyannote[3245].start |
22258.25721875 |
transcript.pyannote[3245].end |
22259.08409375 |
transcript.pyannote[3246].speaker |
SPEAKER_02 |
transcript.pyannote[3246].start |
22259.47221875 |
transcript.pyannote[3246].end |
22272.07784375 |
transcript.pyannote[3247].speaker |
SPEAKER_02 |
transcript.pyannote[3247].start |
22272.28034375 |
transcript.pyannote[3247].end |
22292.05784375 |
transcript.pyannote[3248].speaker |
SPEAKER_02 |
transcript.pyannote[3248].start |
22292.91846875 |
transcript.pyannote[3248].end |
22293.66096875 |
transcript.pyannote[3249].speaker |
SPEAKER_02 |
transcript.pyannote[3249].start |
22294.25159375 |
transcript.pyannote[3249].end |
22294.52159375 |
transcript.pyannote[3250].speaker |
SPEAKER_48 |
transcript.pyannote[3250].start |
22295.21346875 |
transcript.pyannote[3250].end |
22299.46596875 |
transcript.pyannote[3251].speaker |
SPEAKER_02 |
transcript.pyannote[3251].start |
22297.91346875 |
transcript.pyannote[3251].end |
22371.03284375 |
transcript.pyannote[3252].speaker |
SPEAKER_00 |
transcript.pyannote[3252].start |
22309.20284375 |
transcript.pyannote[3252].end |
22309.45596875 |
transcript.pyannote[3253].speaker |
SPEAKER_00 |
transcript.pyannote[3253].start |
22309.55721875 |
transcript.pyannote[3253].end |
22309.65846875 |
transcript.pyannote[3254].speaker |
SPEAKER_48 |
transcript.pyannote[3254].start |
22371.11721875 |
transcript.pyannote[3254].end |
22391.72159375 |
transcript.pyannote[3255].speaker |
SPEAKER_02 |
transcript.pyannote[3255].start |
22391.60346875 |
transcript.pyannote[3255].end |
22413.72659375 |
transcript.pyannote[3256].speaker |
SPEAKER_48 |
transcript.pyannote[3256].start |
22393.96596875 |
transcript.pyannote[3256].end |
22394.30346875 |
transcript.pyannote[3257].speaker |
SPEAKER_48 |
transcript.pyannote[3257].start |
22413.72659375 |
transcript.pyannote[3257].end |
22416.98346875 |
transcript.pyannote[3258].speaker |
SPEAKER_02 |
transcript.pyannote[3258].start |
22416.81471875 |
transcript.pyannote[3258].end |
22419.85221875 |
transcript.pyannote[3259].speaker |
SPEAKER_48 |
transcript.pyannote[3259].start |
22420.29096875 |
transcript.pyannote[3259].end |
22422.65346875 |
transcript.pyannote[3260].speaker |
SPEAKER_02 |
transcript.pyannote[3260].start |
22422.29909375 |
transcript.pyannote[3260].end |
22426.66971875 |
transcript.pyannote[3261].speaker |
SPEAKER_02 |
transcript.pyannote[3261].start |
22427.26034375 |
transcript.pyannote[3261].end |
22431.36096875 |
transcript.pyannote[3262].speaker |
SPEAKER_40 |
transcript.pyannote[3262].start |
22430.53409375 |
transcript.pyannote[3262].end |
22431.46221875 |
transcript.pyannote[3263].speaker |
SPEAKER_02 |
transcript.pyannote[3263].start |
22432.86284375 |
transcript.pyannote[3263].end |
22434.14534375 |
transcript.pyannote[3264].speaker |
SPEAKER_40 |
transcript.pyannote[3264].start |
22437.35159375 |
transcript.pyannote[3264].end |
22437.58784375 |
transcript.pyannote[3265].speaker |
SPEAKER_02 |
transcript.pyannote[3265].start |
22439.27534375 |
transcript.pyannote[3265].end |
22440.15284375 |
transcript.pyannote[3266].speaker |
SPEAKER_40 |
transcript.pyannote[3266].start |
22440.15284375 |
transcript.pyannote[3266].end |
22446.04221875 |
transcript.pyannote[3267].speaker |
SPEAKER_02 |
transcript.pyannote[3267].start |
22445.40096875 |
transcript.pyannote[3267].end |
22448.67471875 |
transcript.pyannote[3268].speaker |
SPEAKER_40 |
transcript.pyannote[3268].start |
22448.03346875 |
transcript.pyannote[3268].end |
22448.67471875 |
transcript.pyannote[3269].speaker |
SPEAKER_43 |
transcript.pyannote[3269].start |
22448.67471875 |
transcript.pyannote[3269].end |
22448.77596875 |
transcript.pyannote[3270].speaker |
SPEAKER_40 |
transcript.pyannote[3270].start |
22448.77596875 |
transcript.pyannote[3270].end |
22448.79284375 |
transcript.pyannote[3271].speaker |
SPEAKER_02 |
transcript.pyannote[3271].start |
22448.77596875 |
transcript.pyannote[3271].end |
22451.50971875 |
transcript.pyannote[3272].speaker |
SPEAKER_43 |
transcript.pyannote[3272].start |
22448.79284375 |
transcript.pyannote[3272].end |
22448.84346875 |
transcript.pyannote[3273].speaker |
SPEAKER_43 |
transcript.pyannote[3273].start |
22449.70409375 |
transcript.pyannote[3273].end |
22450.32846875 |
transcript.pyannote[3274].speaker |
SPEAKER_43 |
transcript.pyannote[3274].start |
22452.31971875 |
transcript.pyannote[3274].end |
22453.99034375 |
transcript.pyannote[3275].speaker |
SPEAKER_02 |
transcript.pyannote[3275].start |
22452.37034375 |
transcript.pyannote[3275].end |
22452.72471875 |
transcript.pyannote[3276].speaker |
SPEAKER_02 |
transcript.pyannote[3276].start |
22453.46721875 |
transcript.pyannote[3276].end |
22476.34971875 |
transcript.pyannote[3277].speaker |
SPEAKER_36 |
transcript.pyannote[3277].start |
22476.43409375 |
transcript.pyannote[3277].end |
22477.37909375 |
transcript.pyannote[3278].speaker |
SPEAKER_02 |
transcript.pyannote[3278].start |
22477.54784375 |
transcript.pyannote[3278].end |
22479.72471875 |
transcript.pyannote[3279].speaker |
SPEAKER_36 |
transcript.pyannote[3279].start |
22480.09596875 |
transcript.pyannote[3279].end |
22482.39096875 |
transcript.pyannote[3280].speaker |
SPEAKER_36 |
transcript.pyannote[3280].start |
22483.01534375 |
transcript.pyannote[3280].end |
22486.45784375 |
transcript.pyannote[3281].speaker |
SPEAKER_02 |
transcript.pyannote[3281].start |
22486.79534375 |
transcript.pyannote[3281].end |
22518.73971875 |
transcript.pyannote[3282].speaker |
SPEAKER_59 |
transcript.pyannote[3282].start |
22518.73971875 |
transcript.pyannote[3282].end |
22519.80284375 |
transcript.pyannote[3283].speaker |
SPEAKER_59 |
transcript.pyannote[3283].start |
22520.07284375 |
transcript.pyannote[3283].end |
22520.86596875 |
transcript.pyannote[3284].speaker |
SPEAKER_36 |
transcript.pyannote[3284].start |
22520.86596875 |
transcript.pyannote[3284].end |
22525.81034375 |
transcript.pyannote[3285].speaker |
SPEAKER_02 |
transcript.pyannote[3285].start |
22520.93346875 |
transcript.pyannote[3285].end |
22520.95034375 |
transcript.pyannote[3286].speaker |
SPEAKER_02 |
transcript.pyannote[3286].start |
22525.64159375 |
transcript.pyannote[3286].end |
22546.97159375 |
transcript.pyannote[3287].speaker |
SPEAKER_36 |
transcript.pyannote[3287].start |
22546.97159375 |
transcript.pyannote[3287].end |
22549.77284375 |
transcript.pyannote[3288].speaker |
SPEAKER_02 |
transcript.pyannote[3288].start |
22547.14034375 |
transcript.pyannote[3288].end |
22547.52846875 |
transcript.pyannote[3289].speaker |
SPEAKER_02 |
transcript.pyannote[3289].start |
22548.92909375 |
transcript.pyannote[3289].end |
22552.77659375 |
transcript.pyannote[3290].speaker |
SPEAKER_36 |
transcript.pyannote[3290].start |
22553.28284375 |
transcript.pyannote[3290].end |
22554.86909375 |
transcript.pyannote[3291].speaker |
SPEAKER_02 |
transcript.pyannote[3291].start |
22554.97034375 |
transcript.pyannote[3291].end |
22558.31159375 |
transcript.pyannote[3292].speaker |
SPEAKER_43 |
transcript.pyannote[3292].start |
22558.39596875 |
transcript.pyannote[3292].end |
22569.49971875 |
transcript.pyannote[3293].speaker |
SPEAKER_02 |
transcript.pyannote[3293].start |
22558.95284375 |
transcript.pyannote[3293].end |
22560.69096875 |
transcript.pyannote[3294].speaker |
SPEAKER_59 |
transcript.pyannote[3294].start |
22584.60284375 |
transcript.pyannote[3294].end |
22584.99096875 |
transcript.pyannote[3295].speaker |
SPEAKER_59 |
transcript.pyannote[3295].start |
22585.10909375 |
transcript.pyannote[3295].end |
22585.14284375 |
transcript.pyannote[3296].speaker |
SPEAKER_42 |
transcript.pyannote[3296].start |
22585.14284375 |
transcript.pyannote[3296].end |
22586.34096875 |
transcript.pyannote[3297].speaker |
SPEAKER_42 |
transcript.pyannote[3297].start |
22593.29346875 |
transcript.pyannote[3297].end |
22595.63909375 |
transcript.pyannote[3298].speaker |
SPEAKER_42 |
transcript.pyannote[3298].start |
22597.81596875 |
transcript.pyannote[3298].end |
22598.22096875 |
transcript.pyannote[3299].speaker |
SPEAKER_37 |
transcript.pyannote[3299].start |
22602.94596875 |
transcript.pyannote[3299].end |
22605.19034375 |
transcript.pyannote[3300].speaker |
SPEAKER_37 |
transcript.pyannote[3300].start |
22605.54471875 |
transcript.pyannote[3300].end |
22606.91159375 |
transcript.pyannote[3301].speaker |
SPEAKER_44 |
transcript.pyannote[3301].start |
22607.04659375 |
transcript.pyannote[3301].end |
22607.85659375 |
transcript.pyannote[3302].speaker |
SPEAKER_59 |
transcript.pyannote[3302].start |
22618.06596875 |
transcript.pyannote[3302].end |
22618.75784375 |
transcript.pyannote[3303].speaker |
SPEAKER_59 |
transcript.pyannote[3303].start |
22618.77471875 |
transcript.pyannote[3303].end |
22618.79159375 |
transcript.pyannote[3304].speaker |
SPEAKER_37 |
transcript.pyannote[3304].start |
22618.79159375 |
transcript.pyannote[3304].end |
22628.30909375 |
transcript.pyannote[3305].speaker |
SPEAKER_47 |
transcript.pyannote[3305].start |
22628.57909375 |
transcript.pyannote[3305].end |
22629.79409375 |
transcript.pyannote[3306].speaker |
SPEAKER_37 |
transcript.pyannote[3306].start |
22629.70971875 |
transcript.pyannote[3306].end |
22658.11034375 |
transcript.pyannote[3307].speaker |
SPEAKER_37 |
transcript.pyannote[3307].start |
22659.40971875 |
transcript.pyannote[3307].end |
22660.23659375 |
transcript.pyannote[3308].speaker |
SPEAKER_37 |
transcript.pyannote[3308].start |
22660.64159375 |
transcript.pyannote[3308].end |
22666.76721875 |
transcript.pyannote[3309].speaker |
SPEAKER_37 |
transcript.pyannote[3309].start |
22666.96971875 |
transcript.pyannote[3309].end |
22689.02534375 |
transcript.pyannote[3310].speaker |
SPEAKER_37 |
transcript.pyannote[3310].start |
22689.37971875 |
transcript.pyannote[3310].end |
22693.54784375 |
transcript.pyannote[3311].speaker |
SPEAKER_47 |
transcript.pyannote[3311].start |
22695.30284375 |
transcript.pyannote[3311].end |
22705.25909375 |
transcript.pyannote[3312].speaker |
SPEAKER_37 |
transcript.pyannote[3312].start |
22704.33096875 |
transcript.pyannote[3312].end |
22708.04346875 |
transcript.pyannote[3313].speaker |
SPEAKER_59 |
transcript.pyannote[3313].start |
22708.78596875 |
transcript.pyannote[3313].end |
22709.47784375 |
transcript.pyannote[3314].speaker |
SPEAKER_37 |
transcript.pyannote[3314].start |
22709.47784375 |
transcript.pyannote[3314].end |
22722.74159375 |
transcript.pyannote[3315].speaker |
SPEAKER_59 |
transcript.pyannote[3315].start |
22709.49471875 |
transcript.pyannote[3315].end |
22709.61284375 |
transcript.pyannote[3316].speaker |
SPEAKER_37 |
transcript.pyannote[3316].start |
22722.97784375 |
transcript.pyannote[3316].end |
22764.20346875 |
transcript.pyannote[3317].speaker |
SPEAKER_47 |
transcript.pyannote[3317].start |
22765.38471875 |
transcript.pyannote[3317].end |
22773.67034375 |
transcript.pyannote[3318].speaker |
SPEAKER_37 |
transcript.pyannote[3318].start |
22773.53534375 |
transcript.pyannote[3318].end |
22776.21846875 |
transcript.pyannote[3319].speaker |
SPEAKER_47 |
transcript.pyannote[3319].start |
22776.33659375 |
transcript.pyannote[3319].end |
22776.96096875 |
transcript.pyannote[3320].speaker |
SPEAKER_50 |
transcript.pyannote[3320].start |
22776.96096875 |
transcript.pyannote[3320].end |
22776.99471875 |
transcript.pyannote[3321].speaker |
SPEAKER_50 |
transcript.pyannote[3321].start |
22777.99034375 |
transcript.pyannote[3321].end |
22779.42471875 |
transcript.pyannote[3322].speaker |
SPEAKER_50 |
transcript.pyannote[3322].start |
22779.81284375 |
transcript.pyannote[3322].end |
22781.90534375 |
transcript.pyannote[3323].speaker |
SPEAKER_37 |
transcript.pyannote[3323].start |
22780.74096875 |
transcript.pyannote[3323].end |
22781.98971875 |
transcript.pyannote[3324].speaker |
SPEAKER_44 |
transcript.pyannote[3324].start |
22781.90534375 |
transcript.pyannote[3324].end |
22781.93909375 |
transcript.pyannote[3325].speaker |
SPEAKER_50 |
transcript.pyannote[3325].start |
22781.93909375 |
transcript.pyannote[3325].end |
22782.10784375 |
transcript.pyannote[3326].speaker |
SPEAKER_37 |
transcript.pyannote[3326].start |
22782.90096875 |
transcript.pyannote[3326].end |
22785.49971875 |
transcript.pyannote[3327].speaker |
SPEAKER_44 |
transcript.pyannote[3327].start |
22787.22096875 |
transcript.pyannote[3327].end |
22788.80721875 |
transcript.pyannote[3328].speaker |
SPEAKER_37 |
transcript.pyannote[3328].start |
22790.62971875 |
transcript.pyannote[3328].end |
22790.64659375 |
transcript.pyannote[3329].speaker |
SPEAKER_44 |
transcript.pyannote[3329].start |
22790.64659375 |
transcript.pyannote[3329].end |
22791.20346875 |
transcript.pyannote[3330].speaker |
SPEAKER_37 |
transcript.pyannote[3330].start |
22790.69721875 |
transcript.pyannote[3330].end |
22830.91034375 |
transcript.pyannote[3331].speaker |
SPEAKER_36 |
transcript.pyannote[3331].start |
22831.06221875 |
transcript.pyannote[3331].end |
22837.77846875 |
transcript.pyannote[3332].speaker |
SPEAKER_37 |
transcript.pyannote[3332].start |
22835.19659375 |
transcript.pyannote[3332].end |
22835.65221875 |
transcript.pyannote[3333].speaker |
SPEAKER_37 |
transcript.pyannote[3333].start |
22837.10346875 |
transcript.pyannote[3333].end |
22840.22534375 |
transcript.pyannote[3334].speaker |
SPEAKER_36 |
transcript.pyannote[3334].start |
22839.41534375 |
transcript.pyannote[3334].end |
22844.71409375 |
transcript.pyannote[3335].speaker |
SPEAKER_37 |
transcript.pyannote[3335].start |
22845.06846875 |
transcript.pyannote[3335].end |
22861.20096875 |
transcript.pyannote[3336].speaker |
SPEAKER_37 |
transcript.pyannote[3336].start |
22861.35284375 |
transcript.pyannote[3336].end |
22863.25971875 |
transcript.pyannote[3337].speaker |
SPEAKER_37 |
transcript.pyannote[3337].start |
22864.45784375 |
transcript.pyannote[3337].end |
22865.89221875 |
transcript.pyannote[3338].speaker |
SPEAKER_37 |
transcript.pyannote[3338].start |
22866.80346875 |
transcript.pyannote[3338].end |
22887.99846875 |
transcript.pyannote[3339].speaker |
SPEAKER_37 |
transcript.pyannote[3339].start |
22888.79159375 |
transcript.pyannote[3339].end |
22898.22471875 |
transcript.pyannote[3340].speaker |
SPEAKER_37 |
transcript.pyannote[3340].start |
22898.44409375 |
transcript.pyannote[3340].end |
22901.00909375 |
transcript.pyannote[3341].speaker |
SPEAKER_37 |
transcript.pyannote[3341].start |
22901.41409375 |
transcript.pyannote[3341].end |
22918.27221875 |
transcript.pyannote[3342].speaker |
SPEAKER_37 |
transcript.pyannote[3342].start |
22918.60971875 |
transcript.pyannote[3342].end |
22919.75721875 |
transcript.pyannote[3343].speaker |
SPEAKER_36 |
transcript.pyannote[3343].start |
22920.58409375 |
transcript.pyannote[3343].end |
22925.64659375 |
transcript.pyannote[3344].speaker |
SPEAKER_37 |
transcript.pyannote[3344].start |
22923.90846875 |
transcript.pyannote[3344].end |
22928.43096875 |
transcript.pyannote[3345].speaker |
SPEAKER_37 |
transcript.pyannote[3345].start |
22928.73471875 |
transcript.pyannote[3345].end |
22929.56159375 |
transcript.pyannote[3346].speaker |
SPEAKER_37 |
transcript.pyannote[3346].start |
22930.89471875 |
transcript.pyannote[3346].end |
22954.33409375 |
transcript.pyannote[3347].speaker |
SPEAKER_37 |
transcript.pyannote[3347].start |
22955.09346875 |
transcript.pyannote[3347].end |
22956.37596875 |
transcript.pyannote[3348].speaker |
SPEAKER_37 |
transcript.pyannote[3348].start |
22956.46034375 |
transcript.pyannote[3348].end |
22966.58534375 |
transcript.pyannote[3349].speaker |
SPEAKER_36 |
transcript.pyannote[3349].start |
22967.14221875 |
transcript.pyannote[3349].end |
22976.79471875 |
transcript.pyannote[3350].speaker |
SPEAKER_37 |
transcript.pyannote[3350].start |
22976.89596875 |
transcript.pyannote[3350].end |
22979.00534375 |
transcript.pyannote[3351].speaker |
SPEAKER_36 |
transcript.pyannote[3351].start |
22978.88721875 |
transcript.pyannote[3351].end |
22986.46409375 |
transcript.pyannote[3352].speaker |
SPEAKER_27 |
transcript.pyannote[3352].start |
22986.19409375 |
transcript.pyannote[3352].end |
22986.59909375 |
transcript.pyannote[3353].speaker |
SPEAKER_36 |
transcript.pyannote[3353].start |
22986.59909375 |
transcript.pyannote[3353].end |
22995.91409375 |
transcript.pyannote[3354].speaker |
SPEAKER_27 |
transcript.pyannote[3354].start |
22988.84346875 |
transcript.pyannote[3354].end |
22989.14721875 |
transcript.pyannote[3355].speaker |
SPEAKER_37 |
transcript.pyannote[3355].start |
22996.62284375 |
transcript.pyannote[3355].end |
23000.79096875 |
transcript.pyannote[3356].speaker |
SPEAKER_36 |
transcript.pyannote[3356].start |
22999.06971875 |
transcript.pyannote[3356].end |
23000.01471875 |
transcript.pyannote[3357].speaker |
SPEAKER_36 |
transcript.pyannote[3357].start |
23000.33534375 |
transcript.pyannote[3357].end |
23001.06096875 |
transcript.pyannote[3358].speaker |
SPEAKER_43 |
transcript.pyannote[3358].start |
23001.06096875 |
transcript.pyannote[3358].end |
23001.17909375 |
transcript.pyannote[3359].speaker |
SPEAKER_43 |
transcript.pyannote[3359].start |
23001.22971875 |
transcript.pyannote[3359].end |
23001.31409375 |
transcript.pyannote[3360].speaker |
SPEAKER_36 |
transcript.pyannote[3360].start |
23001.31409375 |
transcript.pyannote[3360].end |
23001.61784375 |
transcript.pyannote[3361].speaker |
SPEAKER_37 |
transcript.pyannote[3361].start |
23003.50784375 |
transcript.pyannote[3361].end |
23010.93284375 |
transcript.pyannote[3362].speaker |
SPEAKER_36 |
transcript.pyannote[3362].start |
23011.15221875 |
transcript.pyannote[3362].end |
23013.49784375 |
transcript.pyannote[3363].speaker |
SPEAKER_37 |
transcript.pyannote[3363].start |
23013.16034375 |
transcript.pyannote[3363].end |
23016.26534375 |
transcript.pyannote[3364].speaker |
SPEAKER_36 |
transcript.pyannote[3364].start |
23014.57784375 |
transcript.pyannote[3364].end |
23017.02471875 |
transcript.pyannote[3365].speaker |
SPEAKER_43 |
transcript.pyannote[3365].start |
23017.02471875 |
transcript.pyannote[3365].end |
23017.04159375 |
transcript.pyannote[3366].speaker |
SPEAKER_36 |
transcript.pyannote[3366].start |
23017.04159375 |
transcript.pyannote[3366].end |
23017.07534375 |
transcript.pyannote[3367].speaker |
SPEAKER_43 |
transcript.pyannote[3367].start |
23017.07534375 |
transcript.pyannote[3367].end |
23017.09221875 |
transcript.pyannote[3368].speaker |
SPEAKER_36 |
transcript.pyannote[3368].start |
23017.09221875 |
transcript.pyannote[3368].end |
23017.14284375 |
transcript.pyannote[3369].speaker |
SPEAKER_37 |
transcript.pyannote[3369].start |
23017.09221875 |
transcript.pyannote[3369].end |
23018.27346875 |
transcript.pyannote[3370].speaker |
SPEAKER_36 |
transcript.pyannote[3370].start |
23017.81784375 |
transcript.pyannote[3370].end |
23017.96971875 |
transcript.pyannote[3371].speaker |
SPEAKER_43 |
transcript.pyannote[3371].start |
23017.96971875 |
transcript.pyannote[3371].end |
23021.19284375 |
transcript.pyannote[3372].speaker |
SPEAKER_14 |
transcript.pyannote[3372].start |
23031.28409375 |
transcript.pyannote[3372].end |
23031.89159375 |
transcript.pyannote[3373].speaker |
SPEAKER_14 |
transcript.pyannote[3373].start |
23033.17409375 |
transcript.pyannote[3373].end |
23036.76846875 |
transcript.pyannote[3374].speaker |
SPEAKER_42 |
transcript.pyannote[3374].start |
23038.28721875 |
transcript.pyannote[3374].end |
23041.51034375 |
transcript.pyannote[3375].speaker |
SPEAKER_14 |
transcript.pyannote[3375].start |
23046.08346875 |
transcript.pyannote[3375].end |
23054.40284375 |
transcript.pyannote[3376].speaker |
SPEAKER_14 |
transcript.pyannote[3376].start |
23054.89221875 |
transcript.pyannote[3376].end |
23060.81534375 |
transcript.pyannote[3377].speaker |
SPEAKER_14 |
transcript.pyannote[3377].start |
23061.05159375 |
transcript.pyannote[3377].end |
23095.93221875 |
transcript.pyannote[3378].speaker |
SPEAKER_45 |
transcript.pyannote[3378].start |
23097.65346875 |
transcript.pyannote[3378].end |
23103.99846875 |
transcript.pyannote[3379].speaker |
SPEAKER_14 |
transcript.pyannote[3379].start |
23104.08284375 |
transcript.pyannote[3379].end |
23106.56346875 |
transcript.pyannote[3380].speaker |
SPEAKER_45 |
transcript.pyannote[3380].start |
23106.25971875 |
transcript.pyannote[3380].end |
23106.66471875 |
transcript.pyannote[3381].speaker |
SPEAKER_14 |
transcript.pyannote[3381].start |
23106.66471875 |
transcript.pyannote[3381].end |
23112.46971875 |
transcript.pyannote[3382].speaker |
SPEAKER_45 |
transcript.pyannote[3382].start |
23113.88721875 |
transcript.pyannote[3382].end |
23121.49784375 |
transcript.pyannote[3383].speaker |
SPEAKER_14 |
transcript.pyannote[3383].start |
23122.00409375 |
transcript.pyannote[3383].end |
23127.89346875 |
transcript.pyannote[3384].speaker |
SPEAKER_14 |
transcript.pyannote[3384].start |
23127.99471875 |
transcript.pyannote[3384].end |
23141.05596875 |
transcript.pyannote[3385].speaker |
SPEAKER_14 |
transcript.pyannote[3385].start |
23141.37659375 |
transcript.pyannote[3385].end |
23149.76346875 |
transcript.pyannote[3386].speaker |
SPEAKER_14 |
transcript.pyannote[3386].start |
23150.03346875 |
transcript.pyannote[3386].end |
23155.16346875 |
transcript.pyannote[3387].speaker |
SPEAKER_45 |
transcript.pyannote[3387].start |
23156.58096875 |
transcript.pyannote[3387].end |
23166.99284375 |
transcript.pyannote[3388].speaker |
SPEAKER_14 |
transcript.pyannote[3388].start |
23157.34034375 |
transcript.pyannote[3388].end |
23157.69471875 |
transcript.pyannote[3389].speaker |
SPEAKER_14 |
transcript.pyannote[3389].start |
23167.09409375 |
transcript.pyannote[3389].end |
23170.06409375 |
transcript.pyannote[3390].speaker |
SPEAKER_45 |
transcript.pyannote[3390].start |
23170.62096875 |
transcript.pyannote[3390].end |
23175.02534375 |
transcript.pyannote[3391].speaker |
SPEAKER_14 |
transcript.pyannote[3391].start |
23174.80596875 |
transcript.pyannote[3391].end |
23181.91034375 |
transcript.pyannote[3392].speaker |
SPEAKER_14 |
transcript.pyannote[3392].start |
23182.06221875 |
transcript.pyannote[3392].end |
23185.53846875 |
transcript.pyannote[3393].speaker |
SPEAKER_45 |
transcript.pyannote[3393].start |
23185.55534375 |
transcript.pyannote[3393].end |
23187.66471875 |
transcript.pyannote[3394].speaker |
SPEAKER_14 |
transcript.pyannote[3394].start |
23187.90096875 |
transcript.pyannote[3394].end |
23188.20471875 |
transcript.pyannote[3395].speaker |
SPEAKER_14 |
transcript.pyannote[3395].start |
23188.72784375 |
transcript.pyannote[3395].end |
23200.33784375 |
transcript.pyannote[3396].speaker |
SPEAKER_45 |
transcript.pyannote[3396].start |
23200.33784375 |
transcript.pyannote[3396].end |
23212.20096875 |
transcript.pyannote[3397].speaker |
SPEAKER_14 |
transcript.pyannote[3397].start |
23200.38846875 |
transcript.pyannote[3397].end |
23200.72596875 |
transcript.pyannote[3398].speaker |
SPEAKER_14 |
transcript.pyannote[3398].start |
23211.88034375 |
transcript.pyannote[3398].end |
23219.32221875 |
transcript.pyannote[3399].speaker |
SPEAKER_14 |
transcript.pyannote[3399].start |
23219.91284375 |
transcript.pyannote[3399].end |
23221.34721875 |
transcript.pyannote[3400].speaker |
SPEAKER_45 |
transcript.pyannote[3400].start |
23221.80284375 |
transcript.pyannote[3400].end |
23239.06596875 |
transcript.pyannote[3401].speaker |
SPEAKER_14 |
transcript.pyannote[3401].start |
23239.06596875 |
transcript.pyannote[3401].end |
23245.02284375 |
transcript.pyannote[3402].speaker |
SPEAKER_42 |
transcript.pyannote[3402].start |
23245.39409375 |
transcript.pyannote[3402].end |
23246.30534375 |
transcript.pyannote[3403].speaker |
SPEAKER_14 |
transcript.pyannote[3403].start |
23251.13159375 |
transcript.pyannote[3403].end |
23254.25346875 |
transcript.pyannote[3404].speaker |
SPEAKER_14 |
transcript.pyannote[3404].start |
23254.72596875 |
transcript.pyannote[3404].end |
23260.29471875 |
transcript.pyannote[3405].speaker |
SPEAKER_39 |
transcript.pyannote[3405].start |
23258.57346875 |
transcript.pyannote[3405].end |
23258.84346875 |
transcript.pyannote[3406].speaker |
SPEAKER_14 |
transcript.pyannote[3406].start |
23260.56471875 |
transcript.pyannote[3406].end |
23264.90159375 |
transcript.pyannote[3407].speaker |
SPEAKER_14 |
transcript.pyannote[3407].start |
23265.42471875 |
transcript.pyannote[3407].end |
23266.97721875 |
transcript.pyannote[3408].speaker |
SPEAKER_37 |
transcript.pyannote[3408].start |
23266.97721875 |
transcript.pyannote[3408].end |
23281.06784375 |
transcript.pyannote[3409].speaker |
SPEAKER_14 |
transcript.pyannote[3409].start |
23281.06784375 |
transcript.pyannote[3409].end |
23281.08471875 |
transcript.pyannote[3410].speaker |
SPEAKER_37 |
transcript.pyannote[3410].start |
23281.08471875 |
transcript.pyannote[3410].end |
23281.10159375 |
transcript.pyannote[3411].speaker |
SPEAKER_14 |
transcript.pyannote[3411].start |
23281.25346875 |
transcript.pyannote[3411].end |
23281.28721875 |
transcript.pyannote[3412].speaker |
SPEAKER_37 |
transcript.pyannote[3412].start |
23281.28721875 |
transcript.pyannote[3412].end |
23281.37159375 |
transcript.pyannote[3413].speaker |
SPEAKER_14 |
transcript.pyannote[3413].start |
23281.37159375 |
transcript.pyannote[3413].end |
23292.94784375 |
transcript.pyannote[3414].speaker |
SPEAKER_59 |
transcript.pyannote[3414].start |
23286.87284375 |
transcript.pyannote[3414].end |
23287.49721875 |
transcript.pyannote[3415].speaker |
SPEAKER_00 |
transcript.pyannote[3415].start |
23291.05784375 |
transcript.pyannote[3415].end |
23292.34034375 |
transcript.pyannote[3416].speaker |
SPEAKER_14 |
transcript.pyannote[3416].start |
23293.53846875 |
transcript.pyannote[3416].end |
23297.97659375 |
transcript.pyannote[3417].speaker |
SPEAKER_37 |
transcript.pyannote[3417].start |
23297.97659375 |
transcript.pyannote[3417].end |
23311.25721875 |
transcript.pyannote[3418].speaker |
SPEAKER_14 |
transcript.pyannote[3418].start |
23310.54846875 |
transcript.pyannote[3418].end |
23315.07096875 |
transcript.pyannote[3419].speaker |
SPEAKER_37 |
transcript.pyannote[3419].start |
23312.35409375 |
transcript.pyannote[3419].end |
23312.97846875 |
transcript.pyannote[3420].speaker |
SPEAKER_14 |
transcript.pyannote[3420].start |
23315.20596875 |
transcript.pyannote[3420].end |
23325.75284375 |
transcript.pyannote[3421].speaker |
SPEAKER_37 |
transcript.pyannote[3421].start |
23324.35221875 |
transcript.pyannote[3421].end |
23324.60534375 |
transcript.pyannote[3422].speaker |
SPEAKER_37 |
transcript.pyannote[3422].start |
23325.75284375 |
transcript.pyannote[3422].end |
23358.03471875 |
transcript.pyannote[3423].speaker |
SPEAKER_14 |
transcript.pyannote[3423].start |
23346.22221875 |
transcript.pyannote[3423].end |
23347.97721875 |
transcript.pyannote[3424].speaker |
SPEAKER_14 |
transcript.pyannote[3424].start |
23358.03471875 |
transcript.pyannote[3424].end |
23415.76409375 |
transcript.pyannote[3425].speaker |
SPEAKER_37 |
transcript.pyannote[3425].start |
23359.26659375 |
transcript.pyannote[3425].end |
23360.49846875 |
transcript.pyannote[3426].speaker |
SPEAKER_37 |
transcript.pyannote[3426].start |
23361.20721875 |
transcript.pyannote[3426].end |
23361.59534375 |
transcript.pyannote[3427].speaker |
SPEAKER_01 |
transcript.pyannote[3427].start |
23367.45096875 |
transcript.pyannote[3427].end |
23368.02471875 |
transcript.pyannote[3428].speaker |
SPEAKER_01 |
transcript.pyannote[3428].start |
23374.38659375 |
transcript.pyannote[3428].end |
23374.79159375 |
transcript.pyannote[3429].speaker |
SPEAKER_14 |
transcript.pyannote[3429].start |
23416.18596875 |
transcript.pyannote[3429].end |
23418.97034375 |
transcript.pyannote[3430].speaker |
SPEAKER_37 |
transcript.pyannote[3430].start |
23418.97034375 |
transcript.pyannote[3430].end |
23426.02409375 |
transcript.pyannote[3431].speaker |
SPEAKER_14 |
transcript.pyannote[3431].start |
23426.02409375 |
transcript.pyannote[3431].end |
23446.59471875 |
transcript.pyannote[3432].speaker |
SPEAKER_37 |
transcript.pyannote[3432].start |
23427.32346875 |
transcript.pyannote[3432].end |
23427.77909375 |
transcript.pyannote[3433].speaker |
SPEAKER_37 |
transcript.pyannote[3433].start |
23428.42034375 |
transcript.pyannote[3433].end |
23429.21346875 |
transcript.pyannote[3434].speaker |
SPEAKER_37 |
transcript.pyannote[3434].start |
23429.82096875 |
transcript.pyannote[3434].end |
23431.15409375 |
transcript.pyannote[3435].speaker |
SPEAKER_00 |
transcript.pyannote[3435].start |
23436.72284375 |
transcript.pyannote[3435].end |
23437.17846875 |
transcript.pyannote[3436].speaker |
SPEAKER_14 |
transcript.pyannote[3436].start |
23446.66221875 |
transcript.pyannote[3436].end |
23450.96534375 |
transcript.pyannote[3437].speaker |
SPEAKER_37 |
transcript.pyannote[3437].start |
23450.96534375 |
transcript.pyannote[3437].end |
23460.85409375 |
transcript.pyannote[3438].speaker |
SPEAKER_11 |
transcript.pyannote[3438].start |
23458.20471875 |
transcript.pyannote[3438].end |
23459.89221875 |
transcript.pyannote[3439].speaker |
SPEAKER_59 |
transcript.pyannote[3439].start |
23459.89221875 |
transcript.pyannote[3439].end |
23459.90909375 |
transcript.pyannote[3440].speaker |
SPEAKER_43 |
transcript.pyannote[3440].start |
23460.31409375 |
transcript.pyannote[3440].end |
23468.07659375 |
transcript.pyannote[3441].speaker |
SPEAKER_37 |
transcript.pyannote[3441].start |
23461.20846875 |
transcript.pyannote[3441].end |
23462.82846875 |
transcript.pyannote[3442].speaker |
SPEAKER_43 |
transcript.pyannote[3442].start |
23468.41409375 |
transcript.pyannote[3442].end |
23470.20284375 |
transcript.pyannote[3443].speaker |
SPEAKER_52 |
transcript.pyannote[3443].start |
23475.19784375 |
transcript.pyannote[3443].end |
23475.28221875 |
transcript.pyannote[3444].speaker |
SPEAKER_52 |
transcript.pyannote[3444].start |
23479.36596875 |
transcript.pyannote[3444].end |
23480.36159375 |
transcript.pyannote[3445].speaker |
SPEAKER_52 |
transcript.pyannote[3445].start |
23481.10409375 |
transcript.pyannote[3445].end |
23484.39471875 |
transcript.pyannote[3446].speaker |
SPEAKER_52 |
transcript.pyannote[3446].start |
23485.30596875 |
transcript.pyannote[3446].end |
23487.04409375 |
transcript.pyannote[3447].speaker |
SPEAKER_44 |
transcript.pyannote[3447].start |
23487.04409375 |
transcript.pyannote[3447].end |
23487.07784375 |
transcript.pyannote[3448].speaker |
SPEAKER_52 |
transcript.pyannote[3448].start |
23487.85409375 |
transcript.pyannote[3448].end |
23487.97221875 |
transcript.pyannote[3449].speaker |
SPEAKER_44 |
transcript.pyannote[3449].start |
23487.97221875 |
transcript.pyannote[3449].end |
23488.02284375 |
transcript.pyannote[3450].speaker |
SPEAKER_52 |
transcript.pyannote[3450].start |
23488.02284375 |
transcript.pyannote[3450].end |
23488.14096875 |
transcript.pyannote[3451].speaker |
SPEAKER_44 |
transcript.pyannote[3451].start |
23488.14096875 |
transcript.pyannote[3451].end |
23488.19159375 |
transcript.pyannote[3452].speaker |
SPEAKER_52 |
transcript.pyannote[3452].start |
23497.06784375 |
transcript.pyannote[3452].end |
23502.58596875 |
transcript.pyannote[3453].speaker |
SPEAKER_23 |
transcript.pyannote[3453].start |
23502.16409375 |
transcript.pyannote[3453].end |
23502.88971875 |
transcript.pyannote[3454].speaker |
SPEAKER_52 |
transcript.pyannote[3454].start |
23502.60284375 |
transcript.pyannote[3454].end |
23506.80471875 |
transcript.pyannote[3455].speaker |
SPEAKER_52 |
transcript.pyannote[3455].start |
23507.71596875 |
transcript.pyannote[3455].end |
23529.28221875 |
transcript.pyannote[3456].speaker |
SPEAKER_52 |
transcript.pyannote[3456].start |
23529.67034375 |
transcript.pyannote[3456].end |
23555.38784375 |
transcript.pyannote[3457].speaker |
SPEAKER_03 |
transcript.pyannote[3457].start |
23556.23159375 |
transcript.pyannote[3457].end |
23556.24846875 |
transcript.pyannote[3458].speaker |
SPEAKER_37 |
transcript.pyannote[3458].start |
23556.24846875 |
transcript.pyannote[3458].end |
23584.73346875 |
transcript.pyannote[3459].speaker |
SPEAKER_37 |
transcript.pyannote[3459].start |
23585.23971875 |
transcript.pyannote[3459].end |
23599.02659375 |
transcript.pyannote[3460].speaker |
SPEAKER_52 |
transcript.pyannote[3460].start |
23598.73971875 |
transcript.pyannote[3460].end |
23607.05909375 |
transcript.pyannote[3461].speaker |
SPEAKER_52 |
transcript.pyannote[3461].start |
23607.61596875 |
transcript.pyannote[3461].end |
23620.44096875 |
transcript.pyannote[3462].speaker |
SPEAKER_52 |
transcript.pyannote[3462].start |
23620.86284375 |
transcript.pyannote[3462].end |
23628.57471875 |
transcript.pyannote[3463].speaker |
SPEAKER_52 |
transcript.pyannote[3463].start |
23629.21596875 |
transcript.pyannote[3463].end |
23647.96409375 |
transcript.pyannote[3464].speaker |
SPEAKER_03 |
transcript.pyannote[3464].start |
23647.89659375 |
transcript.pyannote[3464].end |
23649.19596875 |
transcript.pyannote[3465].speaker |
SPEAKER_09 |
transcript.pyannote[3465].start |
23647.96409375 |
transcript.pyannote[3465].end |
23647.98096875 |
transcript.pyannote[3466].speaker |
SPEAKER_52 |
transcript.pyannote[3466].start |
23648.65596875 |
transcript.pyannote[3466].end |
23648.68971875 |
transcript.pyannote[3467].speaker |
SPEAKER_09 |
transcript.pyannote[3467].start |
23648.68971875 |
transcript.pyannote[3467].end |
23701.96409375 |
transcript.pyannote[3468].speaker |
SPEAKER_52 |
transcript.pyannote[3468].start |
23699.58471875 |
transcript.pyannote[3468].end |
23700.00659375 |
transcript.pyannote[3469].speaker |
SPEAKER_52 |
transcript.pyannote[3469].start |
23701.96409375 |
transcript.pyannote[3469].end |
23714.56971875 |
transcript.pyannote[3470].speaker |
SPEAKER_59 |
transcript.pyannote[3470].start |
23712.62909375 |
transcript.pyannote[3470].end |
23712.69659375 |
transcript.pyannote[3471].speaker |
SPEAKER_59 |
transcript.pyannote[3471].start |
23712.71346875 |
transcript.pyannote[3471].end |
23712.74721875 |
transcript.pyannote[3472].speaker |
SPEAKER_59 |
transcript.pyannote[3472].start |
23712.76409375 |
transcript.pyannote[3472].end |
23713.08471875 |
transcript.pyannote[3473].speaker |
SPEAKER_52 |
transcript.pyannote[3473].start |
23715.24471875 |
transcript.pyannote[3473].end |
23730.60096875 |
transcript.pyannote[3474].speaker |
SPEAKER_42 |
transcript.pyannote[3474].start |
23729.65596875 |
transcript.pyannote[3474].end |
23730.51659375 |
transcript.pyannote[3475].speaker |
SPEAKER_52 |
transcript.pyannote[3475].start |
23730.80346875 |
transcript.pyannote[3475].end |
23733.63846875 |
transcript.pyannote[3476].speaker |
SPEAKER_52 |
transcript.pyannote[3476].start |
23734.06034375 |
transcript.pyannote[3476].end |
23734.95471875 |
transcript.pyannote[3477].speaker |
SPEAKER_52 |
transcript.pyannote[3477].start |
23735.22471875 |
transcript.pyannote[3477].end |
23737.19909375 |
transcript.pyannote[3478].speaker |
SPEAKER_52 |
transcript.pyannote[3478].start |
23737.57034375 |
transcript.pyannote[3478].end |
23739.83159375 |
transcript.pyannote[3479].speaker |
SPEAKER_52 |
transcript.pyannote[3479].start |
23739.96659375 |
transcript.pyannote[3479].end |
23751.13784375 |
transcript.pyannote[3480].speaker |
SPEAKER_52 |
transcript.pyannote[3480].start |
23751.61034375 |
transcript.pyannote[3480].end |
23763.01784375 |
transcript.pyannote[3481].speaker |
SPEAKER_52 |
transcript.pyannote[3481].start |
23764.11471875 |
transcript.pyannote[3481].end |
23766.07221875 |
transcript.pyannote[3482].speaker |
SPEAKER_52 |
transcript.pyannote[3482].start |
23766.73034375 |
transcript.pyannote[3482].end |
23781.96846875 |
transcript.pyannote[3483].speaker |
SPEAKER_48 |
transcript.pyannote[3483].start |
23782.49159375 |
transcript.pyannote[3483].end |
23805.84659375 |
transcript.pyannote[3484].speaker |
SPEAKER_52 |
transcript.pyannote[3484].start |
23805.84659375 |
transcript.pyannote[3484].end |
23805.86346875 |
transcript.pyannote[3485].speaker |
SPEAKER_59 |
transcript.pyannote[3485].start |
23806.11659375 |
transcript.pyannote[3485].end |
23806.53846875 |
transcript.pyannote[3486].speaker |
SPEAKER_52 |
transcript.pyannote[3486].start |
23806.53846875 |
transcript.pyannote[3486].end |
23819.97096875 |
transcript.pyannote[3487].speaker |
SPEAKER_48 |
transcript.pyannote[3487].start |
23810.52096875 |
transcript.pyannote[3487].end |
23810.90909375 |
transcript.pyannote[3488].speaker |
SPEAKER_43 |
transcript.pyannote[3488].start |
23819.97096875 |
transcript.pyannote[3488].end |
23820.08909375 |
transcript.pyannote[3489].speaker |
SPEAKER_52 |
transcript.pyannote[3489].start |
23820.08909375 |
transcript.pyannote[3489].end |
23820.20721875 |
transcript.pyannote[3490].speaker |
SPEAKER_43 |
transcript.pyannote[3490].start |
23820.20721875 |
transcript.pyannote[3490].end |
23823.19409375 |
transcript.pyannote[3491].speaker |
SPEAKER_07 |
transcript.pyannote[3491].start |
23828.77971875 |
transcript.pyannote[3491].end |
23831.24346875 |
transcript.pyannote[3492].speaker |
SPEAKER_07 |
transcript.pyannote[3492].start |
23831.85096875 |
transcript.pyannote[3492].end |
23832.88034375 |
transcript.pyannote[3493].speaker |
SPEAKER_07 |
transcript.pyannote[3493].start |
23839.20846875 |
transcript.pyannote[3493].end |
23840.50784375 |
transcript.pyannote[3494].speaker |
SPEAKER_07 |
transcript.pyannote[3494].start |
23840.62596875 |
transcript.pyannote[3494].end |
23841.04784375 |
transcript.pyannote[3495].speaker |
SPEAKER_59 |
transcript.pyannote[3495].start |
23841.04784375 |
transcript.pyannote[3495].end |
23841.06471875 |
transcript.pyannote[3496].speaker |
SPEAKER_07 |
transcript.pyannote[3496].start |
23841.06471875 |
transcript.pyannote[3496].end |
23865.07784375 |
transcript.pyannote[3497].speaker |
SPEAKER_59 |
transcript.pyannote[3497].start |
23841.08159375 |
transcript.pyannote[3497].end |
23841.43596875 |
transcript.pyannote[3498].speaker |
SPEAKER_07 |
transcript.pyannote[3498].start |
23865.44909375 |
transcript.pyannote[3498].end |
23870.17409375 |
transcript.pyannote[3499].speaker |
SPEAKER_07 |
transcript.pyannote[3499].start |
23870.98409375 |
transcript.pyannote[3499].end |
23872.51971875 |
transcript.pyannote[3500].speaker |
SPEAKER_07 |
transcript.pyannote[3500].start |
23874.93284375 |
transcript.pyannote[3500].end |
23875.96221875 |
transcript.pyannote[3501].speaker |
SPEAKER_47 |
transcript.pyannote[3501].start |
23875.96221875 |
transcript.pyannote[3501].end |
23884.04534375 |
transcript.pyannote[3502].speaker |
SPEAKER_07 |
transcript.pyannote[3502].start |
23883.82596875 |
transcript.pyannote[3502].end |
23892.92159375 |
transcript.pyannote[3503].speaker |
SPEAKER_47 |
transcript.pyannote[3503].start |
23892.12846875 |
transcript.pyannote[3503].end |
23897.46096875 |
transcript.pyannote[3504].speaker |
SPEAKER_07 |
transcript.pyannote[3504].start |
23895.75659375 |
transcript.pyannote[3504].end |
23896.02659375 |
transcript.pyannote[3505].speaker |
SPEAKER_07 |
transcript.pyannote[3505].start |
23897.10659375 |
transcript.pyannote[3505].end |
23925.86159375 |
transcript.pyannote[3506].speaker |
SPEAKER_25 |
transcript.pyannote[3506].start |
23913.86346875 |
transcript.pyannote[3506].end |
23914.04909375 |
transcript.pyannote[3507].speaker |
SPEAKER_47 |
transcript.pyannote[3507].start |
23924.83221875 |
transcript.pyannote[3507].end |
23934.48471875 |
transcript.pyannote[3508].speaker |
SPEAKER_07 |
transcript.pyannote[3508].start |
23931.54846875 |
transcript.pyannote[3508].end |
23932.10534375 |
transcript.pyannote[3509].speaker |
SPEAKER_07 |
transcript.pyannote[3509].start |
23934.34971875 |
transcript.pyannote[3509].end |
23940.71159375 |
transcript.pyannote[3510].speaker |
SPEAKER_47 |
transcript.pyannote[3510].start |
23940.71159375 |
transcript.pyannote[3510].end |
23942.95596875 |
transcript.pyannote[3511].speaker |
SPEAKER_07 |
transcript.pyannote[3511].start |
23941.09971875 |
transcript.pyannote[3511].end |
23941.35284375 |
transcript.pyannote[3512].speaker |
SPEAKER_07 |
transcript.pyannote[3512].start |
23942.95596875 |
transcript.pyannote[3512].end |
23977.63409375 |
transcript.pyannote[3513].speaker |
SPEAKER_07 |
transcript.pyannote[3513].start |
23978.29221875 |
transcript.pyannote[3513].end |
23985.97034375 |
transcript.pyannote[3514].speaker |
SPEAKER_47 |
transcript.pyannote[3514].start |
23986.40909375 |
transcript.pyannote[3514].end |
23999.45346875 |
transcript.pyannote[3515].speaker |
SPEAKER_07 |
transcript.pyannote[3515].start |
23998.37346875 |
transcript.pyannote[3515].end |
24013.96596875 |
transcript.pyannote[3516].speaker |
SPEAKER_32 |
transcript.pyannote[3516].start |
24013.96596875 |
transcript.pyannote[3516].end |
24013.98284375 |
transcript.pyannote[3517].speaker |
SPEAKER_07 |
transcript.pyannote[3517].start |
24013.98284375 |
transcript.pyannote[3517].end |
24036.12284375 |
transcript.pyannote[3518].speaker |
SPEAKER_32 |
transcript.pyannote[3518].start |
24014.03346875 |
transcript.pyannote[3518].end |
24014.52284375 |
transcript.pyannote[3519].speaker |
SPEAKER_47 |
transcript.pyannote[3519].start |
24035.66721875 |
transcript.pyannote[3519].end |
24040.03784375 |
transcript.pyannote[3520].speaker |
SPEAKER_07 |
transcript.pyannote[3520].start |
24040.03784375 |
transcript.pyannote[3520].end |
24078.90096875 |
transcript.pyannote[3521].speaker |
SPEAKER_07 |
transcript.pyannote[3521].start |
24079.22159375 |
transcript.pyannote[3521].end |
24092.11409375 |
transcript.pyannote[3522].speaker |
SPEAKER_47 |
transcript.pyannote[3522].start |
24092.11409375 |
transcript.pyannote[3522].end |
24101.53034375 |
transcript.pyannote[3523].speaker |
SPEAKER_07 |
transcript.pyannote[3523].start |
24100.83846875 |
transcript.pyannote[3523].end |
24111.94221875 |
transcript.pyannote[3524].speaker |
SPEAKER_47 |
transcript.pyannote[3524].start |
24108.38159375 |
transcript.pyannote[3524].end |
24109.17471875 |
transcript.pyannote[3525].speaker |
SPEAKER_47 |
transcript.pyannote[3525].start |
24111.94221875 |
transcript.pyannote[3525].end |
24112.83659375 |
transcript.pyannote[3526].speaker |
SPEAKER_07 |
transcript.pyannote[3526].start |
24112.83659375 |
transcript.pyannote[3526].end |
24136.47846875 |
transcript.pyannote[3527].speaker |
SPEAKER_47 |
transcript.pyannote[3527].start |
24112.90409375 |
transcript.pyannote[3527].end |
24113.41034375 |
transcript.pyannote[3528].speaker |
SPEAKER_47 |
transcript.pyannote[3528].start |
24136.47846875 |
transcript.pyannote[3528].end |
24139.97159375 |
transcript.pyannote[3529].speaker |
SPEAKER_07 |
transcript.pyannote[3529].start |
24139.78596875 |
transcript.pyannote[3529].end |
24149.84346875 |
transcript.pyannote[3530].speaker |
SPEAKER_47 |
transcript.pyannote[3530].start |
24149.84346875 |
transcript.pyannote[3530].end |
24151.21034375 |
transcript.pyannote[3531].speaker |
SPEAKER_07 |
transcript.pyannote[3531].start |
24150.01221875 |
transcript.pyannote[3531].end |
24154.83846875 |
transcript.pyannote[3532].speaker |
SPEAKER_39 |
transcript.pyannote[3532].start |
24154.83846875 |
transcript.pyannote[3532].end |
24154.92284375 |
transcript.pyannote[3533].speaker |
SPEAKER_07 |
transcript.pyannote[3533].start |
24154.92284375 |
transcript.pyannote[3533].end |
24154.95659375 |
transcript.pyannote[3534].speaker |
SPEAKER_39 |
transcript.pyannote[3534].start |
24154.95659375 |
transcript.pyannote[3534].end |
24155.22659375 |
transcript.pyannote[3535].speaker |
SPEAKER_07 |
transcript.pyannote[3535].start |
24155.22659375 |
transcript.pyannote[3535].end |
24204.18096875 |
transcript.pyannote[3536].speaker |
SPEAKER_07 |
transcript.pyannote[3536].start |
24204.31596875 |
transcript.pyannote[3536].end |
24205.44659375 |
transcript.pyannote[3537].speaker |
SPEAKER_07 |
transcript.pyannote[3537].start |
24206.34096875 |
transcript.pyannote[3537].end |
24217.32659375 |
transcript.pyannote[3538].speaker |
SPEAKER_43 |
transcript.pyannote[3538].start |
24215.06534375 |
transcript.pyannote[3538].end |
24215.95971875 |
transcript.pyannote[3539].speaker |
SPEAKER_46 |
transcript.pyannote[3539].start |
24215.95971875 |
transcript.pyannote[3539].end |
24216.02721875 |
transcript.pyannote[3540].speaker |
SPEAKER_43 |
transcript.pyannote[3540].start |
24216.02721875 |
transcript.pyannote[3540].end |
24216.87096875 |
transcript.pyannote[3541].speaker |
SPEAKER_46 |
transcript.pyannote[3541].start |
24216.87096875 |
transcript.pyannote[3541].end |
24216.95534375 |
transcript.pyannote[3542].speaker |
SPEAKER_43 |
transcript.pyannote[3542].start |
24217.32659375 |
transcript.pyannote[3542].end |
24225.19034375 |
transcript.pyannote[3543].speaker |
SPEAKER_24 |
transcript.pyannote[3543].start |
24234.30284375 |
transcript.pyannote[3543].end |
24236.96909375 |
transcript.pyannote[3544].speaker |
SPEAKER_24 |
transcript.pyannote[3544].start |
24237.57659375 |
transcript.pyannote[3544].end |
24238.77471875 |
transcript.pyannote[3545].speaker |
SPEAKER_24 |
transcript.pyannote[3545].start |
24248.46096875 |
transcript.pyannote[3545].end |
24252.66284375 |
transcript.pyannote[3546].speaker |
SPEAKER_24 |
transcript.pyannote[3546].start |
24253.30409375 |
transcript.pyannote[3546].end |
24254.19846875 |
transcript.pyannote[3547].speaker |
SPEAKER_24 |
transcript.pyannote[3547].start |
24255.26159375 |
transcript.pyannote[3547].end |
24257.35409375 |
transcript.pyannote[3548].speaker |
SPEAKER_24 |
transcript.pyannote[3548].start |
24257.84346875 |
transcript.pyannote[3548].end |
24259.14284375 |
transcript.pyannote[3549].speaker |
SPEAKER_24 |
transcript.pyannote[3549].start |
24259.46346875 |
transcript.pyannote[3549].end |
24261.64034375 |
transcript.pyannote[3550].speaker |
SPEAKER_24 |
transcript.pyannote[3550].start |
24261.80909375 |
transcript.pyannote[3550].end |
24264.25596875 |
transcript.pyannote[3551].speaker |
SPEAKER_24 |
transcript.pyannote[3551].start |
24264.74534375 |
transcript.pyannote[3551].end |
24265.06596875 |
transcript.pyannote[3552].speaker |
SPEAKER_24 |
transcript.pyannote[3552].start |
24265.40346875 |
transcript.pyannote[3552].end |
24272.35596875 |
transcript.pyannote[3553].speaker |
SPEAKER_24 |
transcript.pyannote[3553].start |
24273.16596875 |
transcript.pyannote[3553].end |
24276.05159375 |
transcript.pyannote[3554].speaker |
SPEAKER_24 |
transcript.pyannote[3554].start |
24276.94596875 |
transcript.pyannote[3554].end |
24277.01346875 |
transcript.pyannote[3555].speaker |
SPEAKER_24 |
transcript.pyannote[3555].start |
24277.70534375 |
transcript.pyannote[3555].end |
24278.90346875 |
transcript.pyannote[3556].speaker |
SPEAKER_24 |
transcript.pyannote[3556].start |
24279.17346875 |
transcript.pyannote[3556].end |
24283.37534375 |
transcript.pyannote[3557].speaker |
SPEAKER_24 |
transcript.pyannote[3557].start |
24284.35409375 |
transcript.pyannote[3557].end |
24285.97409375 |
transcript.pyannote[3558].speaker |
SPEAKER_31 |
transcript.pyannote[3558].start |
24285.97409375 |
transcript.pyannote[3558].end |
24290.56409375 |
transcript.pyannote[3559].speaker |
SPEAKER_24 |
transcript.pyannote[3559].start |
24290.56409375 |
transcript.pyannote[3559].end |
24290.58096875 |
transcript.pyannote[3560].speaker |
SPEAKER_24 |
transcript.pyannote[3560].start |
24291.32346875 |
transcript.pyannote[3560].end |
24291.69471875 |
transcript.pyannote[3561].speaker |
SPEAKER_24 |
transcript.pyannote[3561].start |
24292.43721875 |
transcript.pyannote[3561].end |
24308.21534375 |
transcript.pyannote[3562].speaker |
SPEAKER_24 |
transcript.pyannote[3562].start |
24309.97034375 |
transcript.pyannote[3562].end |
24310.96596875 |
transcript.pyannote[3563].speaker |
SPEAKER_31 |
transcript.pyannote[3563].start |
24310.96596875 |
transcript.pyannote[3563].end |
24317.80034375 |
transcript.pyannote[3564].speaker |
SPEAKER_24 |
transcript.pyannote[3564].start |
24317.80034375 |
transcript.pyannote[3564].end |
24318.00284375 |
transcript.pyannote[3565].speaker |
SPEAKER_31 |
transcript.pyannote[3565].start |
24318.00284375 |
transcript.pyannote[3565].end |
24318.01971875 |
transcript.pyannote[3566].speaker |
SPEAKER_24 |
transcript.pyannote[3566].start |
24318.01971875 |
transcript.pyannote[3566].end |
24318.57659375 |
transcript.pyannote[3567].speaker |
SPEAKER_31 |
transcript.pyannote[3567].start |
24318.07034375 |
transcript.pyannote[3567].end |
24318.67784375 |
transcript.pyannote[3568].speaker |
SPEAKER_24 |
transcript.pyannote[3568].start |
24318.67784375 |
transcript.pyannote[3568].end |
24319.38659375 |
transcript.pyannote[3569].speaker |
SPEAKER_31 |
transcript.pyannote[3569].start |
24319.38659375 |
transcript.pyannote[3569].end |
24319.92659375 |
transcript.pyannote[3570].speaker |
SPEAKER_24 |
transcript.pyannote[3570].start |
24319.40346875 |
transcript.pyannote[3570].end |
24320.46659375 |
transcript.pyannote[3571].speaker |
SPEAKER_31 |
transcript.pyannote[3571].start |
24320.04471875 |
transcript.pyannote[3571].end |
24320.14596875 |
transcript.pyannote[3572].speaker |
SPEAKER_24 |
transcript.pyannote[3572].start |
24321.29346875 |
transcript.pyannote[3572].end |
24324.34784375 |
transcript.pyannote[3573].speaker |
SPEAKER_24 |
transcript.pyannote[3573].start |
24325.57971875 |
transcript.pyannote[3573].end |
24330.03471875 |
transcript.pyannote[3574].speaker |
SPEAKER_24 |
transcript.pyannote[3574].start |
24330.32159375 |
transcript.pyannote[3574].end |
24335.72159375 |
transcript.pyannote[3575].speaker |
SPEAKER_24 |
transcript.pyannote[3575].start |
24336.43034375 |
transcript.pyannote[3575].end |
24355.87034375 |
transcript.pyannote[3576].speaker |
SPEAKER_24 |
transcript.pyannote[3576].start |
24356.49471875 |
transcript.pyannote[3576].end |
24357.60846875 |
transcript.pyannote[3577].speaker |
SPEAKER_24 |
transcript.pyannote[3577].start |
24358.16534375 |
transcript.pyannote[3577].end |
24358.82346875 |
transcript.pyannote[3578].speaker |
SPEAKER_24 |
transcript.pyannote[3578].start |
24359.32971875 |
transcript.pyannote[3578].end |
24362.35034375 |
transcript.pyannote[3579].speaker |
SPEAKER_24 |
transcript.pyannote[3579].start |
24362.77221875 |
transcript.pyannote[3579].end |
24364.39221875 |
transcript.pyannote[3580].speaker |
SPEAKER_24 |
transcript.pyannote[3580].start |
24364.96596875 |
transcript.pyannote[3580].end |
24370.58534375 |
transcript.pyannote[3581].speaker |
SPEAKER_24 |
transcript.pyannote[3581].start |
24372.12096875 |
transcript.pyannote[3581].end |
24393.63659375 |
transcript.pyannote[3582].speaker |
SPEAKER_24 |
transcript.pyannote[3582].start |
24394.00784375 |
transcript.pyannote[3582].end |
24395.39159375 |
transcript.pyannote[3583].speaker |
SPEAKER_24 |
transcript.pyannote[3583].start |
24395.66159375 |
transcript.pyannote[3583].end |
24400.69034375 |
transcript.pyannote[3584].speaker |
SPEAKER_24 |
transcript.pyannote[3584].start |
24401.24721875 |
transcript.pyannote[3584].end |
24433.68096875 |
transcript.pyannote[3585].speaker |
SPEAKER_32 |
transcript.pyannote[3585].start |
24420.60284375 |
transcript.pyannote[3585].end |
24420.97409375 |
transcript.pyannote[3586].speaker |
SPEAKER_24 |
transcript.pyannote[3586].start |
24434.27159375 |
transcript.pyannote[3586].end |
24448.68284375 |
transcript.pyannote[3587].speaker |
SPEAKER_00 |
transcript.pyannote[3587].start |
24435.80721875 |
transcript.pyannote[3587].end |
24435.95909375 |
transcript.pyannote[3588].speaker |
SPEAKER_59 |
transcript.pyannote[3588].start |
24435.95909375 |
transcript.pyannote[3588].end |
24435.97596875 |
transcript.pyannote[3589].speaker |
SPEAKER_00 |
transcript.pyannote[3589].start |
24435.97596875 |
transcript.pyannote[3589].end |
24436.38096875 |
transcript.pyannote[3590].speaker |
SPEAKER_00 |
transcript.pyannote[3590].start |
24436.66784375 |
transcript.pyannote[3590].end |
24436.90409375 |
transcript.pyannote[3591].speaker |
SPEAKER_24 |
transcript.pyannote[3591].start |
24449.39159375 |
transcript.pyannote[3591].end |
24451.06221875 |
transcript.pyannote[3592].speaker |
SPEAKER_24 |
transcript.pyannote[3592].start |
24451.45034375 |
transcript.pyannote[3592].end |
24452.96909375 |
transcript.pyannote[3593].speaker |
SPEAKER_31 |
transcript.pyannote[3593].start |
24452.96909375 |
transcript.pyannote[3593].end |
24467.70096875 |
transcript.pyannote[3594].speaker |
SPEAKER_24 |
transcript.pyannote[3594].start |
24467.07659375 |
transcript.pyannote[3594].end |
24468.37596875 |
transcript.pyannote[3595].speaker |
SPEAKER_24 |
transcript.pyannote[3595].start |
24468.40971875 |
transcript.pyannote[3595].end |
24472.86471875 |
transcript.pyannote[3596].speaker |
SPEAKER_24 |
transcript.pyannote[3596].start |
24473.40471875 |
transcript.pyannote[3596].end |
24511.50846875 |
transcript.pyannote[3597].speaker |
SPEAKER_39 |
transcript.pyannote[3597].start |
24493.14846875 |
transcript.pyannote[3597].end |
24493.19909375 |
transcript.pyannote[3598].speaker |
SPEAKER_32 |
transcript.pyannote[3598].start |
24495.73034375 |
transcript.pyannote[3598].end |
24495.76409375 |
transcript.pyannote[3599].speaker |
SPEAKER_39 |
transcript.pyannote[3599].start |
24495.76409375 |
transcript.pyannote[3599].end |
24496.33784375 |
transcript.pyannote[3600].speaker |
SPEAKER_59 |
transcript.pyannote[3600].start |
24496.33784375 |
transcript.pyannote[3600].end |
24496.45596875 |
transcript.pyannote[3601].speaker |
SPEAKER_32 |
transcript.pyannote[3601].start |
24497.56971875 |
transcript.pyannote[3601].end |
24497.58659375 |
transcript.pyannote[3602].speaker |
SPEAKER_39 |
transcript.pyannote[3602].start |
24497.58659375 |
transcript.pyannote[3602].end |
24497.67096875 |
transcript.pyannote[3603].speaker |
SPEAKER_59 |
transcript.pyannote[3603].start |
24497.67096875 |
transcript.pyannote[3603].end |
24498.16034375 |
transcript.pyannote[3604].speaker |
SPEAKER_07 |
transcript.pyannote[3604].start |
24498.16034375 |
transcript.pyannote[3604].end |
24498.19409375 |
transcript.pyannote[3605].speaker |
SPEAKER_59 |
transcript.pyannote[3605].start |
24498.19409375 |
transcript.pyannote[3605].end |
24498.21096875 |
transcript.pyannote[3606].speaker |
SPEAKER_31 |
transcript.pyannote[3606].start |
24511.50846875 |
transcript.pyannote[3606].end |
24511.55909375 |
transcript.pyannote[3607].speaker |
SPEAKER_59 |
transcript.pyannote[3607].start |
24511.55909375 |
transcript.pyannote[3607].end |
24512.18346875 |
transcript.pyannote[3608].speaker |
SPEAKER_31 |
transcript.pyannote[3608].start |
24512.33534375 |
transcript.pyannote[3608].end |
24520.80659375 |
transcript.pyannote[3609].speaker |
SPEAKER_24 |
transcript.pyannote[3609].start |
24519.82784375 |
transcript.pyannote[3609].end |
24520.87409375 |
transcript.pyannote[3610].speaker |
SPEAKER_31 |
transcript.pyannote[3610].start |
24520.87409375 |
transcript.pyannote[3610].end |
24521.02596875 |
transcript.pyannote[3611].speaker |
SPEAKER_24 |
transcript.pyannote[3611].start |
24521.02596875 |
transcript.pyannote[3611].end |
24528.28221875 |
transcript.pyannote[3612].speaker |
SPEAKER_31 |
transcript.pyannote[3612].start |
24521.59971875 |
transcript.pyannote[3612].end |
24521.98784375 |
transcript.pyannote[3613].speaker |
SPEAKER_31 |
transcript.pyannote[3613].start |
24522.56159375 |
transcript.pyannote[3613].end |
24523.45596875 |
transcript.pyannote[3614].speaker |
SPEAKER_31 |
transcript.pyannote[3614].start |
24523.62471875 |
transcript.pyannote[3614].end |
24525.41346875 |
transcript.pyannote[3615].speaker |
SPEAKER_24 |
transcript.pyannote[3615].start |
24528.58596875 |
transcript.pyannote[3615].end |
24531.70784375 |
transcript.pyannote[3616].speaker |
SPEAKER_24 |
transcript.pyannote[3616].start |
24532.12971875 |
transcript.pyannote[3616].end |
24536.21346875 |
transcript.pyannote[3617].speaker |
SPEAKER_24 |
transcript.pyannote[3617].start |
24536.34846875 |
transcript.pyannote[3617].end |
24543.90846875 |
transcript.pyannote[3618].speaker |
SPEAKER_24 |
transcript.pyannote[3618].start |
24544.49909375 |
transcript.pyannote[3618].end |
24546.86159375 |
transcript.pyannote[3619].speaker |
SPEAKER_24 |
transcript.pyannote[3619].start |
24547.01346875 |
transcript.pyannote[3619].end |
24548.04284375 |
transcript.pyannote[3620].speaker |
SPEAKER_24 |
transcript.pyannote[3620].start |
24548.19471875 |
transcript.pyannote[3620].end |
24578.56971875 |
transcript.pyannote[3621].speaker |
SPEAKER_59 |
transcript.pyannote[3621].start |
24555.90659375 |
transcript.pyannote[3621].end |
24556.51409375 |
transcript.pyannote[3622].speaker |
SPEAKER_31 |
transcript.pyannote[3622].start |
24567.17909375 |
transcript.pyannote[3622].end |
24569.44034375 |
transcript.pyannote[3623].speaker |
SPEAKER_24 |
transcript.pyannote[3623].start |
24578.92409375 |
transcript.pyannote[3623].end |
24605.06346875 |
transcript.pyannote[3624].speaker |
SPEAKER_31 |
transcript.pyannote[3624].start |
24584.25659375 |
transcript.pyannote[3624].end |
24585.50534375 |
transcript.pyannote[3625].speaker |
SPEAKER_24 |
transcript.pyannote[3625].start |
24606.78471875 |
transcript.pyannote[3625].end |
24606.97034375 |
transcript.pyannote[3626].speaker |
SPEAKER_31 |
transcript.pyannote[3626].start |
24606.97034375 |
transcript.pyannote[3626].end |
24615.50909375 |
transcript.pyannote[3627].speaker |
SPEAKER_24 |
transcript.pyannote[3627].start |
24610.15971875 |
transcript.pyannote[3627].end |
24611.22284375 |
transcript.pyannote[3628].speaker |
SPEAKER_45 |
transcript.pyannote[3628].start |
24611.22284375 |
transcript.pyannote[3628].end |
24611.23971875 |
transcript.pyannote[3629].speaker |
SPEAKER_24 |
transcript.pyannote[3629].start |
24615.15471875 |
transcript.pyannote[3629].end |
24623.20409375 |
transcript.pyannote[3630].speaker |
SPEAKER_31 |
transcript.pyannote[3630].start |
24621.01034375 |
transcript.pyannote[3630].end |
24621.06096875 |
transcript.pyannote[3631].speaker |
SPEAKER_43 |
transcript.pyannote[3631].start |
24621.06096875 |
transcript.pyannote[3631].end |
24621.61784375 |
transcript.pyannote[3632].speaker |
SPEAKER_31 |
transcript.pyannote[3632].start |
24621.61784375 |
transcript.pyannote[3632].end |
24621.70221875 |
transcript.pyannote[3633].speaker |
SPEAKER_43 |
transcript.pyannote[3633].start |
24623.20409375 |
transcript.pyannote[3633].end |
24629.95409375 |
transcript.pyannote[3634].speaker |
SPEAKER_16 |
transcript.pyannote[3634].start |
24635.91096875 |
transcript.pyannote[3634].end |
24639.65721875 |
transcript.pyannote[3635].speaker |
SPEAKER_44 |
transcript.pyannote[3635].start |
24640.02846875 |
transcript.pyannote[3635].end |
24641.29409375 |
transcript.pyannote[3636].speaker |
SPEAKER_44 |
transcript.pyannote[3636].start |
24647.20034375 |
transcript.pyannote[3636].end |
24647.21721875 |
transcript.pyannote[3637].speaker |
SPEAKER_47 |
transcript.pyannote[3637].start |
24647.21721875 |
transcript.pyannote[3637].end |
24647.90909375 |
transcript.pyannote[3638].speaker |
SPEAKER_17 |
transcript.pyannote[3638].start |
24648.29721875 |
transcript.pyannote[3638].end |
24649.63034375 |
transcript.pyannote[3639].speaker |
SPEAKER_47 |
transcript.pyannote[3639].start |
24649.19159375 |
transcript.pyannote[3639].end |
24649.66409375 |
transcript.pyannote[3640].speaker |
SPEAKER_17 |
transcript.pyannote[3640].start |
24649.66409375 |
transcript.pyannote[3640].end |
24651.85784375 |
transcript.pyannote[3641].speaker |
SPEAKER_17 |
transcript.pyannote[3641].start |
24652.81971875 |
transcript.pyannote[3641].end |
24657.81471875 |
transcript.pyannote[3642].speaker |
SPEAKER_17 |
transcript.pyannote[3642].start |
24658.33784375 |
transcript.pyannote[3642].end |
24659.08034375 |
transcript.pyannote[3643].speaker |
SPEAKER_17 |
transcript.pyannote[3643].start |
24659.31659375 |
transcript.pyannote[3643].end |
24659.97471875 |
transcript.pyannote[3644].speaker |
SPEAKER_17 |
transcript.pyannote[3644].start |
24660.12659375 |
transcript.pyannote[3644].end |
24663.58596875 |
transcript.pyannote[3645].speaker |
SPEAKER_17 |
transcript.pyannote[3645].start |
24663.94034375 |
transcript.pyannote[3645].end |
24674.77409375 |
transcript.pyannote[3646].speaker |
SPEAKER_17 |
transcript.pyannote[3646].start |
24675.21284375 |
transcript.pyannote[3646].end |
24677.55846875 |
transcript.pyannote[3647].speaker |
SPEAKER_17 |
transcript.pyannote[3647].start |
24678.58784375 |
transcript.pyannote[3647].end |
24679.31346875 |
transcript.pyannote[3648].speaker |
SPEAKER_17 |
transcript.pyannote[3648].start |
24679.49909375 |
transcript.pyannote[3648].end |
24682.46909375 |
transcript.pyannote[3649].speaker |
SPEAKER_17 |
transcript.pyannote[3649].start |
24682.80659375 |
transcript.pyannote[3649].end |
24694.56846875 |
transcript.pyannote[3650].speaker |
SPEAKER_47 |
transcript.pyannote[3650].start |
24686.36721875 |
transcript.pyannote[3650].end |
24686.40096875 |
transcript.pyannote[3651].speaker |
SPEAKER_47 |
transcript.pyannote[3651].start |
24686.48534375 |
transcript.pyannote[3651].end |
24688.07159375 |
transcript.pyannote[3652].speaker |
SPEAKER_47 |
transcript.pyannote[3652].start |
24695.12534375 |
transcript.pyannote[3652].end |
24699.00659375 |
transcript.pyannote[3653].speaker |
SPEAKER_17 |
transcript.pyannote[3653].start |
24698.65221875 |
transcript.pyannote[3653].end |
24699.96846875 |
transcript.pyannote[3654].speaker |
SPEAKER_47 |
transcript.pyannote[3654].start |
24699.71534375 |
transcript.pyannote[3654].end |
24707.19096875 |
transcript.pyannote[3655].speaker |
SPEAKER_17 |
transcript.pyannote[3655].start |
24707.08971875 |
transcript.pyannote[3655].end |
24707.34284375 |
transcript.pyannote[3656].speaker |
SPEAKER_47 |
transcript.pyannote[3656].start |
24707.25846875 |
transcript.pyannote[3656].end |
24707.32596875 |
transcript.pyannote[3657].speaker |
SPEAKER_47 |
transcript.pyannote[3657].start |
24707.34284375 |
transcript.pyannote[3657].end |
24707.41034375 |
transcript.pyannote[3658].speaker |
SPEAKER_17 |
transcript.pyannote[3658].start |
24707.41034375 |
transcript.pyannote[3658].end |
24710.58284375 |
transcript.pyannote[3659].speaker |
SPEAKER_47 |
transcript.pyannote[3659].start |
24709.13159375 |
transcript.pyannote[3659].end |
24709.75596875 |
transcript.pyannote[3660].speaker |
SPEAKER_47 |
transcript.pyannote[3660].start |
24711.57846875 |
transcript.pyannote[3660].end |
24716.11784375 |
transcript.pyannote[3661].speaker |
SPEAKER_17 |
transcript.pyannote[3661].start |
24714.07596875 |
transcript.pyannote[3661].end |
24717.34971875 |
transcript.pyannote[3662].speaker |
SPEAKER_17 |
transcript.pyannote[3662].start |
24717.90659375 |
transcript.pyannote[3662].end |
24725.16284375 |
transcript.pyannote[3663].speaker |
SPEAKER_47 |
transcript.pyannote[3663].start |
24725.97284375 |
transcript.pyannote[3663].end |
24727.55909375 |
transcript.pyannote[3664].speaker |
SPEAKER_17 |
transcript.pyannote[3664].start |
24726.46221875 |
transcript.pyannote[3664].end |
24726.69846875 |
transcript.pyannote[3665].speaker |
SPEAKER_17 |
transcript.pyannote[3665].start |
24727.30596875 |
transcript.pyannote[3665].end |
24728.75721875 |
transcript.pyannote[3666].speaker |
SPEAKER_17 |
transcript.pyannote[3666].start |
24729.85409375 |
transcript.pyannote[3666].end |
24737.11034375 |
transcript.pyannote[3667].speaker |
SPEAKER_17 |
transcript.pyannote[3667].start |
24739.47284375 |
transcript.pyannote[3667].end |
24745.14284375 |
transcript.pyannote[3668].speaker |
SPEAKER_47 |
transcript.pyannote[3668].start |
24745.36221875 |
transcript.pyannote[3668].end |
24756.87096875 |
transcript.pyannote[3669].speaker |
SPEAKER_17 |
transcript.pyannote[3669].start |
24755.11596875 |
transcript.pyannote[3669].end |
24762.64221875 |
transcript.pyannote[3670].speaker |
SPEAKER_47 |
transcript.pyannote[3670].start |
24767.31659375 |
transcript.pyannote[3670].end |
24768.07596875 |
transcript.pyannote[3671].speaker |
SPEAKER_47 |
transcript.pyannote[3671].start |
24768.24471875 |
transcript.pyannote[3671].end |
24769.45971875 |
transcript.pyannote[3672].speaker |
SPEAKER_47 |
transcript.pyannote[3672].start |
24769.83096875 |
transcript.pyannote[3672].end |
24771.02909375 |
transcript.pyannote[3673].speaker |
SPEAKER_17 |
transcript.pyannote[3673].start |
24769.86471875 |
transcript.pyannote[3673].end |
24770.42159375 |
transcript.pyannote[3674].speaker |
SPEAKER_17 |
transcript.pyannote[3674].start |
24771.61971875 |
transcript.pyannote[3674].end |
24777.00284375 |
transcript.pyannote[3675].speaker |
SPEAKER_47 |
transcript.pyannote[3675].start |
24773.52659375 |
transcript.pyannote[3675].end |
24773.66159375 |
transcript.pyannote[3676].speaker |
SPEAKER_17 |
transcript.pyannote[3676].start |
24777.55971875 |
transcript.pyannote[3676].end |
24800.81346875 |
transcript.pyannote[3677].speaker |
SPEAKER_17 |
transcript.pyannote[3677].start |
24801.30284375 |
transcript.pyannote[3677].end |
24801.64034375 |
transcript.pyannote[3678].speaker |
SPEAKER_17 |
transcript.pyannote[3678].start |
24802.01159375 |
transcript.pyannote[3678].end |
24805.20096875 |
transcript.pyannote[3679].speaker |
SPEAKER_17 |
transcript.pyannote[3679].start |
24805.33596875 |
transcript.pyannote[3679].end |
24809.48721875 |
transcript.pyannote[3680].speaker |
SPEAKER_47 |
transcript.pyannote[3680].start |
24811.05659375 |
transcript.pyannote[3680].end |
24814.26284375 |
transcript.pyannote[3681].speaker |
SPEAKER_47 |
transcript.pyannote[3681].start |
24814.85346875 |
transcript.pyannote[3681].end |
24823.98284375 |
transcript.pyannote[3682].speaker |
SPEAKER_17 |
transcript.pyannote[3682].start |
24824.05034375 |
transcript.pyannote[3682].end |
24863.70659375 |
transcript.pyannote[3683].speaker |
SPEAKER_47 |
transcript.pyannote[3683].start |
24864.61784375 |
transcript.pyannote[3683].end |
24865.24221875 |
transcript.pyannote[3684].speaker |
SPEAKER_47 |
transcript.pyannote[3684].start |
24866.00159375 |
transcript.pyannote[3684].end |
24867.84096875 |
transcript.pyannote[3685].speaker |
SPEAKER_17 |
transcript.pyannote[3685].start |
24867.35159375 |
transcript.pyannote[3685].end |
24875.68784375 |
transcript.pyannote[3686].speaker |
SPEAKER_47 |
transcript.pyannote[3686].start |
24868.90409375 |
transcript.pyannote[3686].end |
24869.62971875 |
transcript.pyannote[3687].speaker |
SPEAKER_47 |
transcript.pyannote[3687].start |
24875.68784375 |
transcript.pyannote[3687].end |
24884.04096875 |
transcript.pyannote[3688].speaker |
SPEAKER_17 |
transcript.pyannote[3688].start |
24878.05034375 |
transcript.pyannote[3688].end |
24878.38784375 |
transcript.pyannote[3689].speaker |
SPEAKER_17 |
transcript.pyannote[3689].start |
24880.83471875 |
transcript.pyannote[3689].end |
24881.23971875 |
transcript.pyannote[3690].speaker |
SPEAKER_17 |
transcript.pyannote[3690].start |
24881.61096875 |
transcript.pyannote[3690].end |
24882.20159375 |
transcript.pyannote[3691].speaker |
SPEAKER_17 |
transcript.pyannote[3691].start |
24884.14221875 |
transcript.pyannote[3691].end |
24894.84096875 |
transcript.pyannote[3692].speaker |
SPEAKER_53 |
transcript.pyannote[3692].start |
24898.18221875 |
transcript.pyannote[3692].end |
24898.78971875 |
transcript.pyannote[3693].speaker |
SPEAKER_17 |
transcript.pyannote[3693].start |
24898.78971875 |
transcript.pyannote[3693].end |
24906.90659375 |
transcript.pyannote[3694].speaker |
SPEAKER_47 |
transcript.pyannote[3694].start |
24904.94909375 |
transcript.pyannote[3694].end |
24905.75909375 |
transcript.pyannote[3695].speaker |
SPEAKER_47 |
transcript.pyannote[3695].start |
24906.36659375 |
transcript.pyannote[3695].end |
24910.02846875 |
transcript.pyannote[3696].speaker |
SPEAKER_17 |
transcript.pyannote[3696].start |
24910.12971875 |
transcript.pyannote[3696].end |
24910.92284375 |
transcript.pyannote[3697].speaker |
SPEAKER_17 |
transcript.pyannote[3697].start |
24911.88471875 |
transcript.pyannote[3697].end |
24912.44159375 |
transcript.pyannote[3698].speaker |
SPEAKER_17 |
transcript.pyannote[3698].start |
24912.64409375 |
transcript.pyannote[3698].end |
24914.11221875 |
transcript.pyannote[3699].speaker |
SPEAKER_47 |
transcript.pyannote[3699].start |
24912.71159375 |
transcript.pyannote[3699].end |
24914.06159375 |
transcript.pyannote[3700].speaker |
SPEAKER_47 |
transcript.pyannote[3700].start |
24914.11221875 |
transcript.pyannote[3700].end |
24917.45346875 |
transcript.pyannote[3701].speaker |
SPEAKER_17 |
transcript.pyannote[3701].start |
24915.49596875 |
transcript.pyannote[3701].end |
24922.31346875 |
transcript.pyannote[3702].speaker |
SPEAKER_47 |
transcript.pyannote[3702].start |
24918.65159375 |
transcript.pyannote[3702].end |
24918.98909375 |
transcript.pyannote[3703].speaker |
SPEAKER_53 |
transcript.pyannote[3703].start |
24918.98909375 |
transcript.pyannote[3703].end |
24919.00596875 |
transcript.pyannote[3704].speaker |
SPEAKER_17 |
transcript.pyannote[3704].start |
24922.48221875 |
transcript.pyannote[3704].end |
24923.25846875 |
transcript.pyannote[3705].speaker |
SPEAKER_47 |
transcript.pyannote[3705].start |
24926.26221875 |
transcript.pyannote[3705].end |
24930.83534375 |
transcript.pyannote[3706].speaker |
SPEAKER_17 |
transcript.pyannote[3706].start |
24930.22784375 |
transcript.pyannote[3706].end |
24934.00784375 |
transcript.pyannote[3707].speaker |
SPEAKER_47 |
transcript.pyannote[3707].start |
24933.46784375 |
transcript.pyannote[3707].end |
24946.91721875 |
transcript.pyannote[3708].speaker |
SPEAKER_17 |
transcript.pyannote[3708].start |
24946.88346875 |
transcript.pyannote[3708].end |
24961.66596875 |
transcript.pyannote[3709].speaker |
SPEAKER_47 |
transcript.pyannote[3709].start |
24949.98846875 |
transcript.pyannote[3709].end |
24951.20346875 |
transcript.pyannote[3710].speaker |
SPEAKER_47 |
transcript.pyannote[3710].start |
24953.09346875 |
transcript.pyannote[3710].end |
24955.82721875 |
transcript.pyannote[3711].speaker |
SPEAKER_47 |
transcript.pyannote[3711].start |
24959.89409375 |
transcript.pyannote[3711].end |
24959.91096875 |
transcript.pyannote[3712].speaker |
SPEAKER_47 |
transcript.pyannote[3712].start |
24959.99534375 |
transcript.pyannote[3712].end |
24960.29909375 |
transcript.pyannote[3713].speaker |
SPEAKER_47 |
transcript.pyannote[3713].start |
24962.50971875 |
transcript.pyannote[3713].end |
24963.70784375 |
transcript.pyannote[3714].speaker |
SPEAKER_47 |
transcript.pyannote[3714].start |
24964.28159375 |
transcript.pyannote[3714].end |
24973.17471875 |
transcript.pyannote[3715].speaker |
SPEAKER_47 |
transcript.pyannote[3715].start |
24973.51221875 |
transcript.pyannote[3715].end |
24981.62909375 |
transcript.pyannote[3716].speaker |
SPEAKER_17 |
transcript.pyannote[3716].start |
24980.39721875 |
transcript.pyannote[3716].end |
24987.82221875 |
transcript.pyannote[3717].speaker |
SPEAKER_47 |
transcript.pyannote[3717].start |
24981.88221875 |
transcript.pyannote[3717].end |
24983.58659375 |
transcript.pyannote[3718].speaker |
SPEAKER_47 |
transcript.pyannote[3718].start |
24986.89409375 |
transcript.pyannote[3718].end |
24997.17096875 |
transcript.pyannote[3719].speaker |
SPEAKER_17 |
transcript.pyannote[3719].start |
24992.19284375 |
transcript.pyannote[3719].end |
24993.34034375 |
transcript.pyannote[3720].speaker |
SPEAKER_17 |
transcript.pyannote[3720].start |
24995.28096875 |
transcript.pyannote[3720].end |
25002.75659375 |
transcript.pyannote[3721].speaker |
SPEAKER_47 |
transcript.pyannote[3721].start |
25002.50346875 |
transcript.pyannote[3721].end |
25003.92096875 |
transcript.pyannote[3722].speaker |
SPEAKER_17 |
transcript.pyannote[3722].start |
25003.48221875 |
transcript.pyannote[3722].end |
25006.85721875 |
transcript.pyannote[3723].speaker |
SPEAKER_47 |
transcript.pyannote[3723].start |
25005.11909375 |
transcript.pyannote[3723].end |
25012.91534375 |
transcript.pyannote[3724].speaker |
SPEAKER_17 |
transcript.pyannote[3724].start |
25012.30784375 |
transcript.pyannote[3724].end |
25015.37909375 |
transcript.pyannote[3725].speaker |
SPEAKER_47 |
transcript.pyannote[3725].start |
25013.87721875 |
transcript.pyannote[3725].end |
25018.39971875 |
transcript.pyannote[3726].speaker |
SPEAKER_43 |
transcript.pyannote[3726].start |
25018.39971875 |
transcript.pyannote[3726].end |
25018.41659375 |
transcript.pyannote[3727].speaker |
SPEAKER_17 |
transcript.pyannote[3727].start |
25018.41659375 |
transcript.pyannote[3727].end |
25020.45846875 |
transcript.pyannote[3728].speaker |
SPEAKER_43 |
transcript.pyannote[3728].start |
25018.43346875 |
transcript.pyannote[3728].end |
25018.45034375 |
transcript.pyannote[3729].speaker |
SPEAKER_43 |
transcript.pyannote[3729].start |
25020.86346875 |
transcript.pyannote[3729].end |
25028.06909375 |
transcript.pyannote[3730].speaker |
SPEAKER_30 |
transcript.pyannote[3730].start |
25038.26159375 |
transcript.pyannote[3730].end |
25051.71096875 |
transcript.pyannote[3731].speaker |
SPEAKER_38 |
transcript.pyannote[3731].start |
25045.60221875 |
transcript.pyannote[3731].end |
25046.32784375 |
transcript.pyannote[3732].speaker |
SPEAKER_38 |
transcript.pyannote[3732].start |
25047.47534375 |
transcript.pyannote[3732].end |
25048.04909375 |
transcript.pyannote[3733].speaker |
SPEAKER_30 |
transcript.pyannote[3733].start |
25057.17846875 |
transcript.pyannote[3733].end |
25075.42034375 |
transcript.pyannote[3734].speaker |
SPEAKER_00 |
transcript.pyannote[3734].start |
25057.22909375 |
transcript.pyannote[3734].end |
25057.33034375 |
transcript.pyannote[3735].speaker |
SPEAKER_44 |
transcript.pyannote[3735].start |
25057.33034375 |
transcript.pyannote[3735].end |
25057.51596875 |
transcript.pyannote[3736].speaker |
SPEAKER_00 |
transcript.pyannote[3736].start |
25057.51596875 |
transcript.pyannote[3736].end |
25057.66784375 |
transcript.pyannote[3737].speaker |
SPEAKER_30 |
transcript.pyannote[3737].start |
25075.65659375 |
transcript.pyannote[3737].end |
25076.82096875 |
transcript.pyannote[3738].speaker |
SPEAKER_30 |
transcript.pyannote[3738].start |
25076.88846875 |
transcript.pyannote[3738].end |
25086.03471875 |
transcript.pyannote[3739].speaker |
SPEAKER_30 |
transcript.pyannote[3739].start |
25086.33846875 |
transcript.pyannote[3739].end |
25089.98346875 |
transcript.pyannote[3740].speaker |
SPEAKER_30 |
transcript.pyannote[3740].start |
25090.08471875 |
transcript.pyannote[3740].end |
25091.56971875 |
transcript.pyannote[3741].speaker |
SPEAKER_30 |
transcript.pyannote[3741].start |
25091.99159375 |
transcript.pyannote[3741].end |
25096.51409375 |
transcript.pyannote[3742].speaker |
SPEAKER_30 |
transcript.pyannote[3742].start |
25096.86846875 |
transcript.pyannote[3742].end |
25110.14909375 |
transcript.pyannote[3743].speaker |
SPEAKER_30 |
transcript.pyannote[3743].start |
25110.30096875 |
transcript.pyannote[3743].end |
25113.60846875 |
transcript.pyannote[3744].speaker |
SPEAKER_30 |
transcript.pyannote[3744].start |
25113.91221875 |
transcript.pyannote[3744].end |
25124.17221875 |
transcript.pyannote[3745].speaker |
SPEAKER_30 |
transcript.pyannote[3745].start |
25124.52659375 |
transcript.pyannote[3745].end |
25125.79221875 |
transcript.pyannote[3746].speaker |
SPEAKER_30 |
transcript.pyannote[3746].start |
25126.06221875 |
transcript.pyannote[3746].end |
25127.19284375 |
transcript.pyannote[3747].speaker |
SPEAKER_30 |
transcript.pyannote[3747].start |
25127.51346875 |
transcript.pyannote[3747].end |
25128.30659375 |
transcript.pyannote[3748].speaker |
SPEAKER_30 |
transcript.pyannote[3748].start |
25128.55971875 |
transcript.pyannote[3748].end |
25129.13346875 |
transcript.pyannote[3749].speaker |
SPEAKER_30 |
transcript.pyannote[3749].start |
25129.60596875 |
transcript.pyannote[3749].end |
25130.02784375 |
transcript.pyannote[3750].speaker |
SPEAKER_30 |
transcript.pyannote[3750].start |
25130.26409375 |
transcript.pyannote[3750].end |
25131.24284375 |
transcript.pyannote[3751].speaker |
SPEAKER_30 |
transcript.pyannote[3751].start |
25131.68159375 |
transcript.pyannote[3751].end |
25138.97159375 |
transcript.pyannote[3752].speaker |
SPEAKER_30 |
transcript.pyannote[3752].start |
25139.39346875 |
transcript.pyannote[3752].end |
25144.43909375 |
transcript.pyannote[3753].speaker |
SPEAKER_30 |
transcript.pyannote[3753].start |
25144.75971875 |
transcript.pyannote[3753].end |
25145.92409375 |
transcript.pyannote[3754].speaker |
SPEAKER_30 |
transcript.pyannote[3754].start |
25146.75096875 |
transcript.pyannote[3754].end |
25147.52721875 |
transcript.pyannote[3755].speaker |
SPEAKER_30 |
transcript.pyannote[3755].start |
25148.87721875 |
transcript.pyannote[3755].end |
25152.11721875 |
transcript.pyannote[3756].speaker |
SPEAKER_30 |
transcript.pyannote[3756].start |
25152.35346875 |
transcript.pyannote[3756].end |
25153.70346875 |
transcript.pyannote[3757].speaker |
SPEAKER_30 |
transcript.pyannote[3757].start |
25154.14221875 |
transcript.pyannote[3757].end |
25166.20784375 |
transcript.pyannote[3758].speaker |
SPEAKER_30 |
transcript.pyannote[3758].start |
25166.64659375 |
transcript.pyannote[3758].end |
25169.41409375 |
transcript.pyannote[3759].speaker |
SPEAKER_30 |
transcript.pyannote[3759].start |
25169.73471875 |
transcript.pyannote[3759].end |
25170.03846875 |
transcript.pyannote[3760].speaker |
SPEAKER_30 |
transcript.pyannote[3760].start |
25170.37596875 |
transcript.pyannote[3760].end |
25173.10971875 |
transcript.pyannote[3761].speaker |
SPEAKER_30 |
transcript.pyannote[3761].start |
25173.39659375 |
transcript.pyannote[3761].end |
25178.88096875 |
transcript.pyannote[3762].speaker |
SPEAKER_30 |
transcript.pyannote[3762].start |
25179.30284375 |
transcript.pyannote[3762].end |
25180.14659375 |
transcript.pyannote[3763].speaker |
SPEAKER_30 |
transcript.pyannote[3763].start |
25180.70346875 |
transcript.pyannote[3763].end |
25184.41596875 |
transcript.pyannote[3764].speaker |
SPEAKER_30 |
transcript.pyannote[3764].start |
25184.82096875 |
transcript.pyannote[3764].end |
25187.95971875 |
transcript.pyannote[3765].speaker |
SPEAKER_30 |
transcript.pyannote[3765].start |
25188.43221875 |
transcript.pyannote[3765].end |
25191.50346875 |
transcript.pyannote[3766].speaker |
SPEAKER_30 |
transcript.pyannote[3766].start |
25191.90846875 |
transcript.pyannote[3766].end |
25193.78159375 |
transcript.pyannote[3767].speaker |
SPEAKER_30 |
transcript.pyannote[3767].start |
25194.05159375 |
transcript.pyannote[3767].end |
25196.19471875 |
transcript.pyannote[3768].speaker |
SPEAKER_30 |
transcript.pyannote[3768].start |
25196.24534375 |
transcript.pyannote[3768].end |
25197.93284375 |
transcript.pyannote[3769].speaker |
SPEAKER_30 |
transcript.pyannote[3769].start |
25198.15221875 |
transcript.pyannote[3769].end |
25198.67534375 |
transcript.pyannote[3770].speaker |
SPEAKER_30 |
transcript.pyannote[3770].start |
25198.77659375 |
transcript.pyannote[3770].end |
25209.74534375 |
transcript.pyannote[3771].speaker |
SPEAKER_30 |
transcript.pyannote[3771].start |
25210.06596875 |
transcript.pyannote[3771].end |
25213.13721875 |
transcript.pyannote[3772].speaker |
SPEAKER_30 |
transcript.pyannote[3772].start |
25213.30596875 |
transcript.pyannote[3772].end |
25219.00971875 |
transcript.pyannote[3773].speaker |
SPEAKER_30 |
transcript.pyannote[3773].start |
25219.11096875 |
transcript.pyannote[3773].end |
25222.40159375 |
transcript.pyannote[3774].speaker |
SPEAKER_55 |
transcript.pyannote[3774].start |
25222.13159375 |
transcript.pyannote[3774].end |
25243.37721875 |
transcript.pyannote[3775].speaker |
SPEAKER_30 |
transcript.pyannote[3775].start |
25222.99221875 |
transcript.pyannote[3775].end |
25223.02596875 |
transcript.pyannote[3776].speaker |
SPEAKER_30 |
transcript.pyannote[3776].start |
25223.05971875 |
transcript.pyannote[3776].end |
25223.07659375 |
transcript.pyannote[3777].speaker |
SPEAKER_30 |
transcript.pyannote[3777].start |
25242.76971875 |
transcript.pyannote[3777].end |
25259.96534375 |
transcript.pyannote[3778].speaker |
SPEAKER_31 |
transcript.pyannote[3778].start |
25259.96534375 |
transcript.pyannote[3778].end |
25274.07284375 |
transcript.pyannote[3779].speaker |
SPEAKER_31 |
transcript.pyannote[3779].start |
25274.20784375 |
transcript.pyannote[3779].end |
25284.61971875 |
transcript.pyannote[3780].speaker |
SPEAKER_31 |
transcript.pyannote[3780].start |
25284.73784375 |
transcript.pyannote[3780].end |
25300.11096875 |
transcript.pyannote[3781].speaker |
SPEAKER_00 |
transcript.pyannote[3781].start |
25289.15909375 |
transcript.pyannote[3781].end |
25289.88471875 |
transcript.pyannote[3782].speaker |
SPEAKER_30 |
transcript.pyannote[3782].start |
25299.77346875 |
transcript.pyannote[3782].end |
25301.93346875 |
transcript.pyannote[3783].speaker |
SPEAKER_31 |
transcript.pyannote[3783].start |
25301.12346875 |
transcript.pyannote[3783].end |
25304.41409375 |
transcript.pyannote[3784].speaker |
SPEAKER_30 |
transcript.pyannote[3784].start |
25303.53659375 |
transcript.pyannote[3784].end |
25305.64596875 |
transcript.pyannote[3785].speaker |
SPEAKER_30 |
transcript.pyannote[3785].start |
25305.98346875 |
transcript.pyannote[3785].end |
25312.96971875 |
transcript.pyannote[3786].speaker |
SPEAKER_47 |
transcript.pyannote[3786].start |
25313.56034375 |
transcript.pyannote[3786].end |
25320.74909375 |
transcript.pyannote[3787].speaker |
SPEAKER_30 |
transcript.pyannote[3787].start |
25320.74909375 |
transcript.pyannote[3787].end |
25325.60909375 |
transcript.pyannote[3788].speaker |
SPEAKER_30 |
transcript.pyannote[3788].start |
25325.62596875 |
transcript.pyannote[3788].end |
25328.44409375 |
transcript.pyannote[3789].speaker |
SPEAKER_30 |
transcript.pyannote[3789].start |
25328.51159375 |
transcript.pyannote[3789].end |
25335.12659375 |
transcript.pyannote[3790].speaker |
SPEAKER_30 |
transcript.pyannote[3790].start |
25335.31221875 |
transcript.pyannote[3790].end |
25337.10096875 |
transcript.pyannote[3791].speaker |
SPEAKER_31 |
transcript.pyannote[3791].start |
25337.10096875 |
transcript.pyannote[3791].end |
25337.11784375 |
transcript.pyannote[3792].speaker |
SPEAKER_31 |
transcript.pyannote[3792].start |
25338.67034375 |
transcript.pyannote[3792].end |
25348.50846875 |
transcript.pyannote[3793].speaker |
SPEAKER_30 |
transcript.pyannote[3793].start |
25347.88409375 |
transcript.pyannote[3793].end |
25352.38971875 |
transcript.pyannote[3794].speaker |
SPEAKER_31 |
transcript.pyannote[3794].start |
25350.34784375 |
transcript.pyannote[3794].end |
25350.95534375 |
transcript.pyannote[3795].speaker |
SPEAKER_43 |
transcript.pyannote[3795].start |
25352.18721875 |
transcript.pyannote[3795].end |
25356.33846875 |
transcript.pyannote[3796].speaker |
SPEAKER_43 |
transcript.pyannote[3796].start |
25356.60846875 |
transcript.pyannote[3796].end |
25359.44346875 |
transcript.pyannote[3797].speaker |
SPEAKER_43 |
transcript.pyannote[3797].start |
25359.67971875 |
transcript.pyannote[3797].end |
25360.65846875 |
transcript.pyannote[3798].speaker |
SPEAKER_51 |
transcript.pyannote[3798].start |
25379.62596875 |
transcript.pyannote[3798].end |
25381.22909375 |
transcript.pyannote[3799].speaker |
SPEAKER_51 |
transcript.pyannote[3799].start |
25382.73096875 |
transcript.pyannote[3799].end |
25382.74784375 |
transcript.pyannote[3800].speaker |
SPEAKER_43 |
transcript.pyannote[3800].start |
25382.74784375 |
transcript.pyannote[3800].end |
25382.79846875 |
transcript.pyannote[3801].speaker |
SPEAKER_51 |
transcript.pyannote[3801].start |
25382.79846875 |
transcript.pyannote[3801].end |
25383.38909375 |
transcript.pyannote[3802].speaker |
SPEAKER_51 |
transcript.pyannote[3802].start |
25383.45659375 |
transcript.pyannote[3802].end |
25384.35096875 |
transcript.pyannote[3803].speaker |
SPEAKER_51 |
transcript.pyannote[3803].start |
25384.85721875 |
transcript.pyannote[3803].end |
25384.89096875 |
transcript.pyannote[3804].speaker |
SPEAKER_43 |
transcript.pyannote[3804].start |
25384.89096875 |
transcript.pyannote[3804].end |
25385.11034375 |
transcript.pyannote[3805].speaker |
SPEAKER_51 |
transcript.pyannote[3805].start |
25385.11034375 |
transcript.pyannote[3805].end |
25385.32971875 |
transcript.pyannote[3806].speaker |
SPEAKER_51 |
transcript.pyannote[3806].start |
25385.48159375 |
transcript.pyannote[3806].end |
25386.79784375 |
transcript.pyannote[3807].speaker |
SPEAKER_43 |
transcript.pyannote[3807].start |
25387.10159375 |
transcript.pyannote[3807].end |
25387.33784375 |
transcript.pyannote[3808].speaker |
SPEAKER_44 |
transcript.pyannote[3808].start |
25387.33784375 |
transcript.pyannote[3808].end |
25387.38846875 |
transcript.pyannote[3809].speaker |
SPEAKER_43 |
transcript.pyannote[3809].start |
25387.38846875 |
transcript.pyannote[3809].end |
25387.74284375 |
transcript.pyannote[3810].speaker |
SPEAKER_44 |
transcript.pyannote[3810].start |
25387.74284375 |
transcript.pyannote[3810].end |
25387.75971875 |
transcript.pyannote[3811].speaker |
SPEAKER_51 |
transcript.pyannote[3811].start |
25388.43471875 |
transcript.pyannote[3811].end |
25389.36284375 |
transcript.pyannote[3812].speaker |
SPEAKER_44 |
transcript.pyannote[3812].start |
25389.63284375 |
transcript.pyannote[3812].end |
25389.70034375 |
transcript.pyannote[3813].speaker |
SPEAKER_51 |
transcript.pyannote[3813].start |
25389.70034375 |
transcript.pyannote[3813].end |
25389.97034375 |
transcript.pyannote[3814].speaker |
SPEAKER_44 |
transcript.pyannote[3814].start |
25389.97034375 |
transcript.pyannote[3814].end |
25390.05471875 |
transcript.pyannote[3815].speaker |
SPEAKER_51 |
transcript.pyannote[3815].start |
25390.05471875 |
transcript.pyannote[3815].end |
25390.72971875 |
transcript.pyannote[3816].speaker |
SPEAKER_44 |
transcript.pyannote[3816].start |
25390.44284375 |
transcript.pyannote[3816].end |
25390.59471875 |
transcript.pyannote[3817].speaker |
SPEAKER_44 |
transcript.pyannote[3817].start |
25390.72971875 |
transcript.pyannote[3817].end |
25390.86471875 |
transcript.pyannote[3818].speaker |
SPEAKER_51 |
transcript.pyannote[3818].start |
25390.86471875 |
transcript.pyannote[3818].end |
25390.94909375 |
transcript.pyannote[3819].speaker |
SPEAKER_44 |
transcript.pyannote[3819].start |
25390.94909375 |
transcript.pyannote[3819].end |
25390.96596875 |
transcript.pyannote[3820].speaker |
SPEAKER_51 |
transcript.pyannote[3820].start |
25390.96596875 |
transcript.pyannote[3820].end |
25391.25284375 |
transcript.pyannote[3821].speaker |
SPEAKER_43 |
transcript.pyannote[3821].start |
25391.25284375 |
transcript.pyannote[3821].end |
25391.40471875 |
transcript.pyannote[3822].speaker |
SPEAKER_51 |
transcript.pyannote[3822].start |
25391.40471875 |
transcript.pyannote[3822].end |
25391.75909375 |
transcript.pyannote[3823].speaker |
SPEAKER_44 |
transcript.pyannote[3823].start |
25391.75909375 |
transcript.pyannote[3823].end |
25391.84346875 |
transcript.pyannote[3824].speaker |
SPEAKER_51 |
transcript.pyannote[3824].start |
25391.84346875 |
transcript.pyannote[3824].end |
25394.34096875 |
transcript.pyannote[3825].speaker |
SPEAKER_51 |
transcript.pyannote[3825].start |
25397.24346875 |
transcript.pyannote[3825].end |
25398.12096875 |
transcript.pyannote[3826].speaker |
SPEAKER_40 |
transcript.pyannote[3826].start |
25398.88034375 |
transcript.pyannote[3826].end |
25399.74096875 |
transcript.pyannote[3827].speaker |
SPEAKER_50 |
transcript.pyannote[3827].start |
25400.12909375 |
transcript.pyannote[3827].end |
25400.87159375 |
transcript.pyannote[3828].speaker |
SPEAKER_40 |
transcript.pyannote[3828].start |
25401.37784375 |
transcript.pyannote[3828].end |
25401.96846875 |
transcript.pyannote[3829].speaker |
SPEAKER_50 |
transcript.pyannote[3829].start |
25402.69409375 |
transcript.pyannote[3829].end |
25403.45346875 |
transcript.pyannote[3830].speaker |
SPEAKER_40 |
transcript.pyannote[3830].start |
25404.58409375 |
transcript.pyannote[3830].end |
25405.12409375 |
transcript.pyannote[3831].speaker |
SPEAKER_50 |
transcript.pyannote[3831].start |
25405.25909375 |
transcript.pyannote[3831].end |
25405.91721875 |
transcript.pyannote[3832].speaker |
SPEAKER_40 |
transcript.pyannote[3832].start |
25406.27159375 |
transcript.pyannote[3832].end |
25406.89596875 |
transcript.pyannote[3833].speaker |
SPEAKER_50 |
transcript.pyannote[3833].start |
25408.53284375 |
transcript.pyannote[3833].end |
25409.20784375 |
transcript.pyannote[3834].speaker |
SPEAKER_40 |
transcript.pyannote[3834].start |
25408.63409375 |
transcript.pyannote[3834].end |
25412.58284375 |
transcript.pyannote[3835].speaker |
SPEAKER_50 |
transcript.pyannote[3835].start |
25410.03471875 |
transcript.pyannote[3835].end |
25410.08534375 |
transcript.pyannote[3836].speaker |
SPEAKER_50 |
transcript.pyannote[3836].start |
25410.81096875 |
transcript.pyannote[3836].end |
25411.58721875 |
transcript.pyannote[3837].speaker |
SPEAKER_51 |
transcript.pyannote[3837].start |
25411.58721875 |
transcript.pyannote[3837].end |
25411.90784375 |
transcript.pyannote[3838].speaker |
SPEAKER_50 |
transcript.pyannote[3838].start |
25411.90784375 |
transcript.pyannote[3838].end |
25411.94159375 |
transcript.pyannote[3839].speaker |
SPEAKER_51 |
transcript.pyannote[3839].start |
25411.94159375 |
transcript.pyannote[3839].end |
25413.93284375 |
transcript.pyannote[3840].speaker |
SPEAKER_40 |
transcript.pyannote[3840].start |
25412.65034375 |
transcript.pyannote[3840].end |
25413.49409375 |
transcript.pyannote[3841].speaker |
SPEAKER_51 |
transcript.pyannote[3841].start |
25414.91159375 |
transcript.pyannote[3841].end |
25415.58659375 |
transcript.pyannote[3842].speaker |
SPEAKER_51 |
transcript.pyannote[3842].start |
25417.57784375 |
transcript.pyannote[3842].end |
25419.02909375 |
transcript.pyannote[3843].speaker |
SPEAKER_25 |
transcript.pyannote[3843].start |
25419.02909375 |
transcript.pyannote[3843].end |
25421.59409375 |
transcript.pyannote[3844].speaker |
SPEAKER_25 |
transcript.pyannote[3844].start |
25422.37034375 |
transcript.pyannote[3844].end |
25442.11409375 |
transcript.pyannote[3845].speaker |
SPEAKER_31 |
transcript.pyannote[3845].start |
25428.74909375 |
transcript.pyannote[3845].end |
25428.85034375 |
transcript.pyannote[3846].speaker |
SPEAKER_31 |
transcript.pyannote[3846].start |
25432.44471875 |
transcript.pyannote[3846].end |
25432.59659375 |
transcript.pyannote[3847].speaker |
SPEAKER_24 |
transcript.pyannote[3847].start |
25432.59659375 |
transcript.pyannote[3847].end |
25432.96784375 |
transcript.pyannote[3848].speaker |
SPEAKER_31 |
transcript.pyannote[3848].start |
25432.96784375 |
transcript.pyannote[3848].end |
25433.38971875 |
transcript.pyannote[3849].speaker |
SPEAKER_51 |
transcript.pyannote[3849].start |
25440.37596875 |
transcript.pyannote[3849].end |
25440.98346875 |
transcript.pyannote[3850].speaker |
SPEAKER_25 |
transcript.pyannote[3850].start |
25442.33346875 |
transcript.pyannote[3850].end |
25451.42909375 |
transcript.pyannote[3851].speaker |
SPEAKER_51 |
transcript.pyannote[3851].start |
25444.84784375 |
transcript.pyannote[3851].end |
25445.59034375 |
transcript.pyannote[3852].speaker |
SPEAKER_31 |
transcript.pyannote[3852].start |
25445.59034375 |
transcript.pyannote[3852].end |
25445.62409375 |
transcript.pyannote[3853].speaker |
SPEAKER_51 |
transcript.pyannote[3853].start |
25449.21846875 |
transcript.pyannote[3853].end |
25450.24784375 |
transcript.pyannote[3854].speaker |
SPEAKER_51 |
transcript.pyannote[3854].start |
25450.83846875 |
transcript.pyannote[3854].end |
25451.39534375 |
transcript.pyannote[3855].speaker |
SPEAKER_51 |
transcript.pyannote[3855].start |
25451.42909375 |
transcript.pyannote[3855].end |
25451.71596875 |
transcript.pyannote[3856].speaker |
SPEAKER_25 |
transcript.pyannote[3856].start |
25451.71596875 |
transcript.pyannote[3856].end |
25451.96909375 |
transcript.pyannote[3857].speaker |
SPEAKER_51 |
transcript.pyannote[3857].start |
25451.96909375 |
transcript.pyannote[3857].end |
25452.03659375 |
transcript.pyannote[3858].speaker |
SPEAKER_25 |
transcript.pyannote[3858].start |
25452.03659375 |
transcript.pyannote[3858].end |
25452.44159375 |
transcript.pyannote[3859].speaker |
SPEAKER_51 |
transcript.pyannote[3859].start |
25452.44159375 |
transcript.pyannote[3859].end |
25452.50909375 |
transcript.pyannote[3860].speaker |
SPEAKER_25 |
transcript.pyannote[3860].start |
25452.50909375 |
transcript.pyannote[3860].end |
25452.52596875 |
transcript.pyannote[3861].speaker |
SPEAKER_51 |
transcript.pyannote[3861].start |
25452.52596875 |
transcript.pyannote[3861].end |
25452.55971875 |
transcript.pyannote[3862].speaker |
SPEAKER_25 |
transcript.pyannote[3862].start |
25452.86346875 |
transcript.pyannote[3862].end |
25452.96471875 |
transcript.pyannote[3863].speaker |
SPEAKER_51 |
transcript.pyannote[3863].start |
25452.96471875 |
transcript.pyannote[3863].end |
25460.91284375 |
transcript.pyannote[3864].speaker |
SPEAKER_25 |
transcript.pyannote[3864].start |
25453.03221875 |
transcript.pyannote[3864].end |
25454.66909375 |
transcript.pyannote[3865].speaker |
SPEAKER_25 |
transcript.pyannote[3865].start |
25459.02284375 |
transcript.pyannote[3865].end |
25459.19159375 |
transcript.pyannote[3866].speaker |
SPEAKER_25 |
transcript.pyannote[3866].start |
25460.91284375 |
transcript.pyannote[3866].end |
25462.97159375 |
transcript.pyannote[3867].speaker |
SPEAKER_51 |
transcript.pyannote[3867].start |
25462.97159375 |
transcript.pyannote[3867].end |
25462.98846875 |
transcript.pyannote[3868].speaker |
SPEAKER_25 |
transcript.pyannote[3868].start |
25462.98846875 |
transcript.pyannote[3868].end |
25463.00534375 |
transcript.pyannote[3869].speaker |
SPEAKER_51 |
transcript.pyannote[3869].start |
25463.00534375 |
transcript.pyannote[3869].end |
25463.08971875 |
transcript.pyannote[3870].speaker |
SPEAKER_25 |
transcript.pyannote[3870].start |
25463.08971875 |
transcript.pyannote[3870].end |
25464.74346875 |
transcript.pyannote[3871].speaker |
SPEAKER_51 |
transcript.pyannote[3871].start |
25464.74346875 |
transcript.pyannote[3871].end |
25464.77721875 |
transcript.pyannote[3872].speaker |
SPEAKER_25 |
transcript.pyannote[3872].start |
25464.77721875 |
transcript.pyannote[3872].end |
25464.81096875 |
transcript.pyannote[3873].speaker |
SPEAKER_51 |
transcript.pyannote[3873].start |
25464.94596875 |
transcript.pyannote[3873].end |
25467.35909375 |
transcript.pyannote[3874].speaker |
SPEAKER_51 |
transcript.pyannote[3874].start |
25467.76409375 |
transcript.pyannote[3874].end |
25469.29971875 |
transcript.pyannote[3875].speaker |
SPEAKER_25 |
transcript.pyannote[3875].start |
25469.29971875 |
transcript.pyannote[3875].end |
25469.33346875 |
transcript.pyannote[3876].speaker |
SPEAKER_51 |
transcript.pyannote[3876].start |
25469.58659375 |
transcript.pyannote[3876].end |
25471.03784375 |
transcript.pyannote[3877].speaker |
SPEAKER_25 |
transcript.pyannote[3877].start |
25471.03784375 |
transcript.pyannote[3877].end |
25472.37096875 |
transcript.pyannote[3878].speaker |
SPEAKER_51 |
transcript.pyannote[3878].start |
25472.80971875 |
transcript.pyannote[3878].end |
25472.82659375 |
transcript.pyannote[3879].speaker |
SPEAKER_25 |
transcript.pyannote[3879].start |
25472.82659375 |
transcript.pyannote[3879].end |
25487.22096875 |
transcript.pyannote[3880].speaker |
SPEAKER_51 |
transcript.pyannote[3880].start |
25484.20034375 |
transcript.pyannote[3880].end |
25484.38596875 |
transcript.pyannote[3881].speaker |
SPEAKER_51 |
transcript.pyannote[3881].start |
25485.01034375 |
transcript.pyannote[3881].end |
25491.70971875 |
transcript.pyannote[3882].speaker |
SPEAKER_51 |
transcript.pyannote[3882].start |
25492.01346875 |
transcript.pyannote[3882].end |
25493.09346875 |
transcript.pyannote[3883].speaker |
SPEAKER_51 |
transcript.pyannote[3883].start |
25493.63346875 |
transcript.pyannote[3883].end |
25499.65784375 |
transcript.pyannote[3884].speaker |
SPEAKER_41 |
transcript.pyannote[3884].start |
25496.04659375 |
transcript.pyannote[3884].end |
25496.21534375 |
transcript.pyannote[3885].speaker |
SPEAKER_51 |
transcript.pyannote[3885].start |
25500.33284375 |
transcript.pyannote[3885].end |
25500.34971875 |
transcript.pyannote[3886].speaker |
SPEAKER_41 |
transcript.pyannote[3886].start |
25500.34971875 |
transcript.pyannote[3886].end |
25500.92346875 |
transcript.pyannote[3887].speaker |
SPEAKER_51 |
transcript.pyannote[3887].start |
25500.92346875 |
transcript.pyannote[3887].end |
25500.94034375 |
transcript.pyannote[3888].speaker |
SPEAKER_41 |
transcript.pyannote[3888].start |
25500.94034375 |
transcript.pyannote[3888].end |
25500.95721875 |
transcript.pyannote[3889].speaker |
SPEAKER_51 |
transcript.pyannote[3889].start |
25502.64471875 |
transcript.pyannote[3889].end |
25503.23534375 |
transcript.pyannote[3890].speaker |
SPEAKER_51 |
transcript.pyannote[3890].start |
25503.67409375 |
transcript.pyannote[3890].end |
25505.66534375 |
transcript.pyannote[3891].speaker |
SPEAKER_51 |
transcript.pyannote[3891].start |
25506.25596875 |
transcript.pyannote[3891].end |
25517.88284375 |
transcript.pyannote[3892].speaker |
SPEAKER_51 |
transcript.pyannote[3892].start |
25518.37221875 |
transcript.pyannote[3892].end |
25533.12096875 |
transcript.pyannote[3893].speaker |
SPEAKER_39 |
transcript.pyannote[3893].start |
25525.83096875 |
transcript.pyannote[3893].end |
25525.99971875 |
transcript.pyannote[3894].speaker |
SPEAKER_51 |
transcript.pyannote[3894].start |
25533.25596875 |
transcript.pyannote[3894].end |
25533.28971875 |
transcript.pyannote[3895].speaker |
SPEAKER_39 |
transcript.pyannote[3895].start |
25533.28971875 |
transcript.pyannote[3895].end |
25533.50909375 |
transcript.pyannote[3896].speaker |
SPEAKER_51 |
transcript.pyannote[3896].start |
25533.50909375 |
transcript.pyannote[3896].end |
25533.62721875 |
transcript.pyannote[3897].speaker |
SPEAKER_51 |
transcript.pyannote[3897].start |
25533.81284375 |
transcript.pyannote[3897].end |
25537.47471875 |
transcript.pyannote[3898].speaker |
SPEAKER_39 |
transcript.pyannote[3898].start |
25533.86346875 |
transcript.pyannote[3898].end |
25533.91409375 |
transcript.pyannote[3899].speaker |
SPEAKER_18 |
transcript.pyannote[3899].start |
25533.91409375 |
transcript.pyannote[3899].end |
25533.96471875 |
transcript.pyannote[3900].speaker |
SPEAKER_39 |
transcript.pyannote[3900].start |
25533.96471875 |
transcript.pyannote[3900].end |
25534.03221875 |
transcript.pyannote[3901].speaker |
SPEAKER_18 |
transcript.pyannote[3901].start |
25534.03221875 |
transcript.pyannote[3901].end |
25535.26409375 |
transcript.pyannote[3902].speaker |
SPEAKER_51 |
transcript.pyannote[3902].start |
25538.14971875 |
transcript.pyannote[3902].end |
25538.16659375 |
transcript.pyannote[3903].speaker |
SPEAKER_18 |
transcript.pyannote[3903].start |
25538.16659375 |
transcript.pyannote[3903].end |
25547.02596875 |
transcript.pyannote[3904].speaker |
SPEAKER_18 |
transcript.pyannote[3904].start |
25547.24534375 |
transcript.pyannote[3904].end |
25551.14346875 |
transcript.pyannote[3905].speaker |
SPEAKER_18 |
transcript.pyannote[3905].start |
25551.61596875 |
transcript.pyannote[3905].end |
25560.13784375 |
transcript.pyannote[3906].speaker |
SPEAKER_51 |
transcript.pyannote[3906].start |
25557.10034375 |
transcript.pyannote[3906].end |
25567.86659375 |
transcript.pyannote[3907].speaker |
SPEAKER_18 |
transcript.pyannote[3907].start |
25567.52909375 |
transcript.pyannote[3907].end |
25569.18284375 |
transcript.pyannote[3908].speaker |
SPEAKER_51 |
transcript.pyannote[3908].start |
25569.18284375 |
transcript.pyannote[3908].end |
25572.76034375 |
transcript.pyannote[3909].speaker |
SPEAKER_51 |
transcript.pyannote[3909].start |
25573.08096875 |
transcript.pyannote[3909].end |
25574.38034375 |
transcript.pyannote[3910].speaker |
SPEAKER_51 |
transcript.pyannote[3910].start |
25575.34221875 |
transcript.pyannote[3910].end |
25576.94534375 |
transcript.pyannote[3911].speaker |
SPEAKER_51 |
transcript.pyannote[3911].start |
25579.71284375 |
transcript.pyannote[3911].end |
25581.09659375 |
transcript.pyannote[3912].speaker |
SPEAKER_51 |
transcript.pyannote[3912].start |
25582.69971875 |
transcript.pyannote[3912].end |
25583.32409375 |
transcript.pyannote[3913].speaker |
SPEAKER_51 |
transcript.pyannote[3913].start |
25583.50971875 |
transcript.pyannote[3913].end |
25589.70284375 |
transcript.pyannote[3914].speaker |
SPEAKER_51 |
transcript.pyannote[3914].start |
25590.22596875 |
transcript.pyannote[3914].end |
25590.74909375 |
transcript.pyannote[3915].speaker |
SPEAKER_51 |
transcript.pyannote[3915].start |
25591.44096875 |
transcript.pyannote[3915].end |
25597.48221875 |
transcript.pyannote[3916].speaker |
SPEAKER_53 |
transcript.pyannote[3916].start |
25598.88284375 |
transcript.pyannote[3916].end |
25601.78534375 |
transcript.pyannote[3917].speaker |
SPEAKER_53 |
transcript.pyannote[3917].start |
25602.27471875 |
transcript.pyannote[3917].end |
25608.21471875 |
transcript.pyannote[3918].speaker |
SPEAKER_53 |
transcript.pyannote[3918].start |
25608.92346875 |
transcript.pyannote[3918].end |
25623.45284375 |
transcript.pyannote[3919].speaker |
SPEAKER_00 |
transcript.pyannote[3919].start |
25609.80096875 |
transcript.pyannote[3919].end |
25609.93596875 |
transcript.pyannote[3920].speaker |
SPEAKER_51 |
transcript.pyannote[3920].start |
25609.93596875 |
transcript.pyannote[3920].end |
25610.44221875 |
transcript.pyannote[3921].speaker |
SPEAKER_51 |
transcript.pyannote[3921].start |
25612.07909375 |
transcript.pyannote[3921].end |
25612.14659375 |
transcript.pyannote[3922].speaker |
SPEAKER_51 |
transcript.pyannote[3922].start |
25614.01971875 |
transcript.pyannote[3922].end |
25614.94784375 |
transcript.pyannote[3923].speaker |
SPEAKER_51 |
transcript.pyannote[3923].start |
25623.04784375 |
transcript.pyannote[3923].end |
25623.85784375 |
transcript.pyannote[3924].speaker |
SPEAKER_51 |
transcript.pyannote[3924].start |
25624.31346875 |
transcript.pyannote[3924].end |
25625.69721875 |
transcript.pyannote[3925].speaker |
SPEAKER_53 |
transcript.pyannote[3925].start |
25626.69284375 |
transcript.pyannote[3925].end |
25633.96596875 |
transcript.pyannote[3926].speaker |
SPEAKER_51 |
transcript.pyannote[3926].start |
25633.15596875 |
transcript.pyannote[3926].end |
25638.55596875 |
transcript.pyannote[3927].speaker |
SPEAKER_51 |
transcript.pyannote[3927].start |
25638.57284375 |
transcript.pyannote[3927].end |
25639.73721875 |
transcript.pyannote[3928].speaker |
SPEAKER_51 |
transcript.pyannote[3928].start |
25640.09159375 |
transcript.pyannote[3928].end |
25642.42034375 |
transcript.pyannote[3929].speaker |
SPEAKER_51 |
transcript.pyannote[3929].start |
25642.69034375 |
transcript.pyannote[3929].end |
25643.11221875 |
transcript.pyannote[3930].speaker |
SPEAKER_51 |
transcript.pyannote[3930].start |
25644.14159375 |
transcript.pyannote[3930].end |
25645.06971875 |
transcript.pyannote[3931].speaker |
SPEAKER_51 |
transcript.pyannote[3931].start |
25647.28034375 |
transcript.pyannote[3931].end |
25647.29721875 |
transcript.pyannote[3932].speaker |
SPEAKER_41 |
transcript.pyannote[3932].start |
25647.29721875 |
transcript.pyannote[3932].end |
25647.34784375 |
transcript.pyannote[3933].speaker |
SPEAKER_51 |
transcript.pyannote[3933].start |
25647.34784375 |
transcript.pyannote[3933].end |
25647.66846875 |
transcript.pyannote[3934].speaker |
SPEAKER_41 |
transcript.pyannote[3934].start |
25647.66846875 |
transcript.pyannote[3934].end |
25647.82034375 |
transcript.pyannote[3935].speaker |
SPEAKER_51 |
transcript.pyannote[3935].start |
25647.82034375 |
transcript.pyannote[3935].end |
25647.97221875 |
transcript.pyannote[3936].speaker |
SPEAKER_41 |
transcript.pyannote[3936].start |
25647.97221875 |
transcript.pyannote[3936].end |
25648.02284375 |
transcript.pyannote[3937].speaker |
SPEAKER_51 |
transcript.pyannote[3937].start |
25648.02284375 |
transcript.pyannote[3937].end |
25648.12409375 |
transcript.pyannote[3938].speaker |
SPEAKER_41 |
transcript.pyannote[3938].start |
25648.12409375 |
transcript.pyannote[3938].end |
25648.14096875 |
transcript.pyannote[3939].speaker |
SPEAKER_51 |
transcript.pyannote[3939].start |
25648.14096875 |
transcript.pyannote[3939].end |
25649.20409375 |
transcript.pyannote[3940].speaker |
SPEAKER_41 |
transcript.pyannote[3940].start |
25648.34346875 |
transcript.pyannote[3940].end |
25649.10284375 |
transcript.pyannote[3941].speaker |
SPEAKER_51 |
transcript.pyannote[3941].start |
25650.53721875 |
transcript.pyannote[3941].end |
25652.37659375 |
transcript.pyannote[3942].speaker |
SPEAKER_51 |
transcript.pyannote[3942].start |
25652.52846875 |
transcript.pyannote[3942].end |
25653.79409375 |
transcript.pyannote[3943].speaker |
SPEAKER_51 |
transcript.pyannote[3943].start |
25654.94159375 |
transcript.pyannote[3943].end |
25655.49846875 |
transcript.pyannote[3944].speaker |
SPEAKER_51 |
transcript.pyannote[3944].start |
25655.58284375 |
transcript.pyannote[3944].end |
25655.63346875 |
transcript.pyannote[3945].speaker |
SPEAKER_59 |
transcript.pyannote[3945].start |
25655.63346875 |
transcript.pyannote[3945].end |
25656.47721875 |
transcript.pyannote[3946].speaker |
SPEAKER_51 |
transcript.pyannote[3946].start |
25657.94534375 |
transcript.pyannote[3946].end |
25661.32034375 |
transcript.pyannote[3947].speaker |
SPEAKER_54 |
transcript.pyannote[3947].start |
25661.32034375 |
transcript.pyannote[3947].end |
25661.52284375 |
transcript.pyannote[3948].speaker |
SPEAKER_51 |
transcript.pyannote[3948].start |
25661.52284375 |
transcript.pyannote[3948].end |
25662.04596875 |
transcript.pyannote[3949].speaker |
SPEAKER_54 |
transcript.pyannote[3949].start |
25662.04596875 |
transcript.pyannote[3949].end |
25662.33284375 |
transcript.pyannote[3950].speaker |
SPEAKER_51 |
transcript.pyannote[3950].start |
25662.33284375 |
transcript.pyannote[3950].end |
25662.51846875 |
transcript.pyannote[3951].speaker |
SPEAKER_54 |
transcript.pyannote[3951].start |
25662.51846875 |
transcript.pyannote[3951].end |
25662.68721875 |
transcript.pyannote[3952].speaker |
SPEAKER_51 |
transcript.pyannote[3952].start |
25662.68721875 |
transcript.pyannote[3952].end |
25663.09221875 |
transcript.pyannote[3953].speaker |
SPEAKER_54 |
transcript.pyannote[3953].start |
25662.73784375 |
transcript.pyannote[3953].end |
25663.07534375 |
transcript.pyannote[3954].speaker |
SPEAKER_54 |
transcript.pyannote[3954].start |
25663.09221875 |
transcript.pyannote[3954].end |
25668.34034375 |
transcript.pyannote[3955].speaker |
SPEAKER_51 |
transcript.pyannote[3955].start |
25668.34034375 |
transcript.pyannote[3955].end |
25671.98534375 |
transcript.pyannote[3956].speaker |
SPEAKER_51 |
transcript.pyannote[3956].start |
25672.40721875 |
transcript.pyannote[3956].end |
25680.43971875 |
transcript.pyannote[3957].speaker |
SPEAKER_51 |
transcript.pyannote[3957].start |
25681.21596875 |
transcript.pyannote[3957].end |
25688.52284375 |
transcript.pyannote[3958].speaker |
SPEAKER_54 |
transcript.pyannote[3958].start |
25687.61159375 |
transcript.pyannote[3958].end |
25688.53971875 |
transcript.pyannote[3959].speaker |
SPEAKER_51 |
transcript.pyannote[3959].start |
25688.53971875 |
transcript.pyannote[3959].end |
25689.16409375 |
transcript.pyannote[3960].speaker |
SPEAKER_54 |
transcript.pyannote[3960].start |
25688.96159375 |
transcript.pyannote[3960].end |
25697.65221875 |
transcript.pyannote[3961].speaker |
SPEAKER_51 |
transcript.pyannote[3961].start |
25695.62721875 |
transcript.pyannote[3961].end |
25702.84971875 |
transcript.pyannote[3962].speaker |
SPEAKER_54 |
transcript.pyannote[3962].start |
25700.06534375 |
transcript.pyannote[3962].end |
25701.46596875 |
transcript.pyannote[3963].speaker |
SPEAKER_51 |
transcript.pyannote[3963].start |
25704.06471875 |
transcript.pyannote[3963].end |
25706.37659375 |
transcript.pyannote[3964].speaker |
SPEAKER_54 |
transcript.pyannote[3964].start |
25704.57096875 |
transcript.pyannote[3964].end |
25705.48221875 |
transcript.pyannote[3965].speaker |
SPEAKER_54 |
transcript.pyannote[3965].start |
25706.37659375 |
transcript.pyannote[3965].end |
25709.73471875 |
transcript.pyannote[3966].speaker |
SPEAKER_54 |
transcript.pyannote[3966].start |
25710.44346875 |
transcript.pyannote[3966].end |
25713.16034375 |
transcript.pyannote[3967].speaker |
SPEAKER_51 |
transcript.pyannote[3967].start |
25713.16034375 |
transcript.pyannote[3967].end |
25719.16784375 |
transcript.pyannote[3968].speaker |
SPEAKER_54 |
transcript.pyannote[3968].start |
25713.17721875 |
transcript.pyannote[3968].end |
25713.59909375 |
transcript.pyannote[3969].speaker |
SPEAKER_54 |
transcript.pyannote[3969].start |
25719.16784375 |
transcript.pyannote[3969].end |
25719.97784375 |
transcript.pyannote[3970].speaker |
SPEAKER_51 |
transcript.pyannote[3970].start |
25719.18471875 |
transcript.pyannote[3970].end |
25719.99471875 |
transcript.pyannote[3971].speaker |
SPEAKER_54 |
transcript.pyannote[3971].start |
25719.99471875 |
transcript.pyannote[3971].end |
25726.77846875 |
transcript.pyannote[3972].speaker |
SPEAKER_51 |
transcript.pyannote[3972].start |
25726.99784375 |
transcript.pyannote[3972].end |
25728.49971875 |
transcript.pyannote[3973].speaker |
SPEAKER_51 |
transcript.pyannote[3973].start |
25728.83721875 |
transcript.pyannote[3973].end |
25739.38409375 |
transcript.pyannote[3974].speaker |
SPEAKER_54 |
transcript.pyannote[3974].start |
25736.54909375 |
transcript.pyannote[3974].end |
25737.08909375 |
transcript.pyannote[3975].speaker |
SPEAKER_54 |
transcript.pyannote[3975].start |
25738.94534375 |
transcript.pyannote[3975].end |
25739.40096875 |
transcript.pyannote[3976].speaker |
SPEAKER_51 |
transcript.pyannote[3976].start |
25739.40096875 |
transcript.pyannote[3976].end |
25739.97471875 |
transcript.pyannote[3977].speaker |
SPEAKER_54 |
transcript.pyannote[3977].start |
25739.97471875 |
transcript.pyannote[3977].end |
25744.78409375 |
transcript.pyannote[3978].speaker |
SPEAKER_51 |
transcript.pyannote[3978].start |
25740.80159375 |
transcript.pyannote[3978].end |
25741.25721875 |
transcript.pyannote[3979].speaker |
SPEAKER_51 |
transcript.pyannote[3979].start |
25746.33659375 |
transcript.pyannote[3979].end |
25747.09596875 |
transcript.pyannote[3980].speaker |
SPEAKER_51 |
transcript.pyannote[3980].start |
25747.26471875 |
transcript.pyannote[3980].end |
25749.13784375 |
transcript.pyannote[3981].speaker |
SPEAKER_51 |
transcript.pyannote[3981].start |
25752.63096875 |
transcript.pyannote[3981].end |
25753.17096875 |
transcript.pyannote[3982].speaker |
SPEAKER_51 |
transcript.pyannote[3982].start |
25753.30596875 |
transcript.pyannote[3982].end |
25754.23409375 |
transcript.pyannote[3983].speaker |
SPEAKER_51 |
transcript.pyannote[3983].start |
25754.97659375 |
transcript.pyannote[3983].end |
25771.68284375 |
transcript.pyannote[3984].speaker |
SPEAKER_59 |
transcript.pyannote[3984].start |
25757.11971875 |
transcript.pyannote[3984].end |
25757.69346875 |
transcript.pyannote[3985].speaker |
SPEAKER_51 |
transcript.pyannote[3985].start |
25772.07096875 |
transcript.pyannote[3985].end |
25773.23534375 |
transcript.pyannote[3986].speaker |
SPEAKER_15 |
transcript.pyannote[3986].start |
25772.08784375 |
transcript.pyannote[3986].end |
25772.62784375 |
transcript.pyannote[3987].speaker |
SPEAKER_15 |
transcript.pyannote[3987].start |
25773.04971875 |
transcript.pyannote[3987].end |
25773.97784375 |
transcript.pyannote[3988].speaker |
SPEAKER_57 |
transcript.pyannote[3988].start |
25773.23534375 |
transcript.pyannote[3988].end |
25773.25221875 |
transcript.pyannote[3989].speaker |
SPEAKER_57 |
transcript.pyannote[3989].start |
25773.97784375 |
transcript.pyannote[3989].end |
25779.02346875 |
transcript.pyannote[3990].speaker |
SPEAKER_51 |
transcript.pyannote[3990].start |
25779.02346875 |
transcript.pyannote[3990].end |
25786.31346875 |
transcript.pyannote[3991].speaker |
SPEAKER_51 |
transcript.pyannote[3991].start |
25787.96721875 |
transcript.pyannote[3991].end |
25790.05971875 |
transcript.pyannote[3992].speaker |
SPEAKER_57 |
transcript.pyannote[3992].start |
25789.95846875 |
transcript.pyannote[3992].end |
25792.03409375 |
transcript.pyannote[3993].speaker |
SPEAKER_51 |
transcript.pyannote[3993].start |
25792.54034375 |
transcript.pyannote[3993].end |
25798.27784375 |
transcript.pyannote[3994].speaker |
SPEAKER_51 |
transcript.pyannote[3994].start |
25798.63221875 |
transcript.pyannote[3994].end |
25806.71534375 |
transcript.pyannote[3995].speaker |
SPEAKER_51 |
transcript.pyannote[3995].start |
25807.03596875 |
transcript.pyannote[3995].end |
25819.75971875 |
transcript.pyannote[3996].speaker |
SPEAKER_59 |
transcript.pyannote[3996].start |
25808.74034375 |
transcript.pyannote[3996].end |
25809.22971875 |
transcript.pyannote[3997].speaker |
SPEAKER_57 |
transcript.pyannote[3997].start |
25819.23659375 |
transcript.pyannote[3997].end |
25822.44284375 |
transcript.pyannote[3998].speaker |
SPEAKER_51 |
transcript.pyannote[3998].start |
25823.38784375 |
transcript.pyannote[3998].end |
25826.66159375 |
transcript.pyannote[3999].speaker |
SPEAKER_43 |
transcript.pyannote[3999].start |
25827.03284375 |
transcript.pyannote[3999].end |
25855.01159375 |
transcript.pyannote[4000].speaker |
SPEAKER_43 |
transcript.pyannote[4000].start |
25856.10846875 |
transcript.pyannote[4000].end |
25874.26596875 |
transcript.pyannote[4001].speaker |
SPEAKER_43 |
transcript.pyannote[4001].start |
25875.10971875 |
transcript.pyannote[4001].end |
25878.65346875 |
transcript.pyannote[4002].speaker |
SPEAKER_43 |
transcript.pyannote[4002].start |
25879.02471875 |
transcript.pyannote[4002].end |
25881.64034375 |
transcript.pyannote[4003].speaker |
SPEAKER_43 |
transcript.pyannote[4003].start |
25882.58534375 |
transcript.pyannote[4003].end |
25883.63159375 |
transcript.pyannote[4004].speaker |
SPEAKER_43 |
transcript.pyannote[4004].start |
25883.71596875 |
transcript.pyannote[4004].end |
25886.23034375 |
transcript.pyannote[4005].speaker |
SPEAKER_43 |
transcript.pyannote[4005].start |
25887.54659375 |
transcript.pyannote[4005].end |
25888.27221875 |
transcript.pyannote[4006].speaker |
SPEAKER_43 |
transcript.pyannote[4006].start |
25888.62659375 |
transcript.pyannote[4006].end |
25904.69159375 |
transcript.pyannote[4007].speaker |
SPEAKER_43 |
transcript.pyannote[4007].start |
25905.68721875 |
transcript.pyannote[4007].end |
25909.63596875 |
transcript.pyannote[4008].speaker |
SPEAKER_43 |
transcript.pyannote[4008].start |
25910.05784375 |
transcript.pyannote[4008].end |
25912.70721875 |
transcript.pyannote[4009].speaker |
SPEAKER_43 |
transcript.pyannote[4009].start |
25913.60159375 |
transcript.pyannote[4009].end |
25913.82096875 |
transcript.pyannote[4010].speaker |
SPEAKER_43 |
transcript.pyannote[4010].start |
25916.38596875 |
transcript.pyannote[4010].end |
25916.77409375 |
transcript.pyannote[4011].speaker |
SPEAKER_43 |
transcript.pyannote[4011].start |
25917.24659375 |
transcript.pyannote[4011].end |
25952.95409375 |
transcript.pyannote[4012].speaker |
SPEAKER_43 |
transcript.pyannote[4012].start |
25952.97096875 |
transcript.pyannote[4012].end |
25955.08034375 |
transcript.pyannote[4013].speaker |
SPEAKER_43 |
transcript.pyannote[4013].start |
25956.22784375 |
transcript.pyannote[4013].end |
25959.19784375 |
transcript.pyannote[4014].speaker |
SPEAKER_43 |
transcript.pyannote[4014].start |
25959.90659375 |
transcript.pyannote[4014].end |
25970.97659375 |
transcript.pyannote[4015].speaker |
SPEAKER_43 |
transcript.pyannote[4015].start |
25972.42784375 |
transcript.pyannote[4015].end |
25979.51534375 |
transcript.pyannote[4016].speaker |
SPEAKER_43 |
transcript.pyannote[4016].start |
25980.44346875 |
transcript.pyannote[4016].end |
25980.76409375 |
transcript.pyannote[4017].speaker |
SPEAKER_43 |
transcript.pyannote[4017].start |
25981.37159375 |
transcript.pyannote[4017].end |
25981.81034375 |
transcript.pyannote[4018].speaker |
SPEAKER_43 |
transcript.pyannote[4018].start |
25982.70471875 |
transcript.pyannote[4018].end |
25984.91534375 |
transcript.pyannote[4019].speaker |
SPEAKER_43 |
transcript.pyannote[4019].start |
25985.74221875 |
transcript.pyannote[4019].end |
25989.94409375 |
transcript.pyannote[4020].speaker |
SPEAKER_43 |
transcript.pyannote[4020].start |
25990.58534375 |
transcript.pyannote[4020].end |
25997.21721875 |
transcript.pyannote[4021].speaker |
SPEAKER_43 |
transcript.pyannote[4021].start |
25997.45346875 |
transcript.pyannote[4021].end |
26000.98034375 |
transcript.pyannote[4022].speaker |
SPEAKER_43 |
transcript.pyannote[4022].start |
26001.28409375 |
transcript.pyannote[4022].end |
26002.75221875 |
transcript.whisperx[0].start |
1836.659 |
transcript.whisperx[0].end |
1851.935 |
transcript.whisperx[0].text |
請各位就座請各位肅靜請主任秘書報告出席委員人數報告委員會出席委員與主法定人數好主席宣布現在開始開會請議事人員宣讀今日議程 |
transcript.whisperx[1].start |
1854.096 |
transcript.whisperx[1].end |
1855.898 |
transcript.whisperx[1].text |
有關經濟部主管預算凍結書面報告案9案。有關交通部主管預算凍結書面報告案14案。 |
transcript.whisperx[2].start |
1876.958 |
transcript.whisperx[2].end |
1904.773 |
transcript.whisperx[2].text |
四、有關行政院農業委員會主管預算凍結書面報告案3案。五、有關衛生福利部主管預算凍結書面報告案11案。六、有關文化部主管預算凍結書面報告案1案。七、有關數位發展部主管預算凍結書面報告案7案。八、有關原住民組委員會預算凍結書面報告案1案。九、有關內政部主管預算凍結書面報告案3案。十、有關行政院環境保護署預算凍結書面報告案1案。十一、有關國家科學及技術委員會主管預算凍結書面報告案2案。 |
transcript.whisperx[3].start |
1907.537 |
transcript.whisperx[3].end |
1916.224 |
transcript.whisperx[3].text |
好,我們嚴厲先介紹在場委員及與會部會的這一個代表政府官員首先介紹吳秉立的吳委員陳一貞陳委員好,我們教育部政務次長劉夢齊、劉政次經濟部林全南、林長次 |
transcript.whisperx[4].start |
1939.755 |
transcript.whisperx[4].end |
1960.066 |
transcript.whisperx[4].text |
交通部陳彥博、陳正次農業部杜文貞、杜長次衛福部李立芬、李正次文化部魏秋怡、魏市長 |
transcript.whisperx[5].start |
1967.699 |
transcript.whisperx[5].end |
1993.218 |
transcript.whisperx[5].text |
速發部李懷仁、李政次、原民會宋立儒、宋處長、內政部花敬群、花政次、環境部沈志秋、沈長士、國科會陳中全副組委、行政院主計處陳慧娟副組長、 |
transcript.whisperx[6].start |
1997.657 |
transcript.whisperx[6].end |
2006.083 |
transcript.whisperx[6].text |
好,以上,包括事項當中有關中央政府前瞻基礎建設計畫第4期特別預算解凍案書面報告28案。 |
transcript.whisperx[7].start |
2008.776 |
transcript.whisperx[7].end |
2030.854 |
transcript.whisperx[7].text |
包括教育部主管3案、經濟部主管2案、交通部主管8案、農業部主管2案、衛生福利部主管8案、文化部主管1案、抒發部主管4案及中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算經濟部解凍書面報告一案。請議事人員宣讀。 |
transcript.whisperx[8].start |
2033.895 |
transcript.whisperx[8].end |
2041.615 |
transcript.whisperx[8].text |
處理中央政府前瞻基礎建設計畫第4期特別預算 112至113年度決議:一、有關教育部主管預算凍結書面報告案3案。 |
transcript.whisperx[9].start |
2043.308 |
transcript.whisperx[9].end |
2067.92 |
transcript.whisperx[9].text |
一、國民及學前教育署第二目城鄉建設預算凍結50萬元。二、國民及學前教育署第三目人才培育促進就業建設向下2030雙語政策計畫預算凍結500萬元。三、體育署第二目城鄉建設第一節充實全民運動環境預算凍結1000萬元。二、有關經濟部主管預算凍結書面報告案2案。一、工業局第三目人才培育促進就業建設 |
transcript.whisperx[10].start |
2069.241 |
transcript.whisperx[10].end |
2092.364 |
transcript.whisperx[10].text |
向下,數位與特殊技術人才發展與數位與特殊技術人才養成及人才培育交流平台推動計畫預算凍結300萬元。二、中小企業處第2目人才培育促進教育建設向下,數位與特殊技術人才發展之中小企業數位領導、中小企業二代接班人數位成長計畫預算凍結10分之1。三、有關教育部主管預算凍結書面報告案8案。 |
transcript.whisperx[11].start |
2093.985 |
transcript.whisperx[11].end |
2118.513 |
transcript.whisperx[11].text |
交通部主管預算凍結1000萬元。2、觀光局及所屬第1目水環境建設第1節水域環境向下全國水環境改善計畫遊戲據點預算凍結1。3、觀光局及所屬第2目城鄉建設第1節推動觀光升級預算凍結1。4、公路總局及所屬第4目綠燃建設向下公共充電裝設置及區域充電需求評估計畫預算凍結1。5、 |
transcript.whisperx[12].start |
2120.854 |
transcript.whisperx[12].end |
2146.246 |
transcript.whisperx[12].text |
一、公路總局及所屬第4目綠營建設預算凍結10分之1。六、公路總局及所屬第6目城鄉建設第1節改善停車問題計畫預算凍結4000萬元。七、公路總局及所屬第6目城鄉建設第2節提升道路品質預算凍結10分之1。八、鐵路局及所屬第4目城鄉建設第1節推動觀光升級預算凍結10分之1。四、有關行政和農業委員會主管預算凍結書面報告案2案。一、 |
transcript.whisperx[13].start |
2147.326 |
transcript.whisperx[13].end |
2165.046 |
transcript.whisperx[13].text |
該會第二幕,綠燃建設預算凍結200萬元書面報告案。二、零五期第一幕,軌道建設第一節,中南部觀光鐵路向下鐵路局阿里山林業鐵路設施設備安全提升計畫預算凍結3%。五、有關衛生福利部主管預算凍結書面報告案8案。一、 |
transcript.whisperx[14].start |
2166.574 |
transcript.whisperx[14].end |
2192.276 |
transcript.whisperx[14].text |
2、該部第2幕城鄉建設預算凍結20萬元。2、該部第2幕城鄉建設第1屆公共服務據點整備預算凍結200萬元。3、國民健康署第1幕城鄉建設第1屆公共服務據點整備向下獎補助費資銀髮健身俱樂部補助計畫預算凍結100萬元。4、社會及家庭署第1幕城鄉建設第1屆公共服務據點整備預算凍結100萬元。5、社會及家庭署第2幕因應少子化有善育兒空間建設預算凍結2000萬元。6、 |
transcript.whisperx[15].start |
2194.558 |
transcript.whisperx[15].end |
2217.618 |
transcript.whisperx[15].text |
2、社會及家庭署第2目因應少子化友善育兒空間建設向下建構0至2歲兒童社區公共推計畫預算凍結100萬元。7、社會及家庭署第2目因應少子化友善育兒空間建設預算凍結100萬元。8、社會及家庭署第2目因應少子化友善育兒空間建設預算凍結100萬元。6、有關文化部預算凍結200萬元。 |
transcript.whisperx[16].start |
2219.775 |
transcript.whisperx[16].end |
2241.216 |
transcript.whisperx[16].text |
七、有關數位發展部主管預算凍結書面報告案4案。一、該部第一幕數位建設預算凍結500萬元。二、該部第一幕數位建設第一節基礎建設環境預算凍結1000萬元。三、自動安全署第一幕數位建設預算凍結10分之1。四、自動安全署第一幕數位建設第一節基礎建設與環境向下政府基層 |
transcript.whisperx[17].start |
2242.097 |
transcript.whisperx[17].end |
2267.664 |
transcript.whisperx[17].text |
基層機關資安主動防疫計畫預算凍結3000萬元。二、處理中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算決議。有關經濟部第二幕:推動產業及中小企業升級轉型之輔導傳統市集品牌化,進行空間美學優化,協助攤部會導入低碳化經營,並推動人才培育及行銷活動等所需經費預算凍結3000萬元書面報告案。宣布完畢。 |
transcript.whisperx[18].start |
2271.407 |
transcript.whisperx[18].end |
2293.441 |
transcript.whisperx[18].text |
請問各位委員,針對以上預算解凍案書面報告有無異議?無異議。書面報告完成,准予動之提報院會。為了疏解會場的人數,報告事項已解凍的三級機關的首長,請留下來。幕僚人員可以准予回機關辦公。 |
transcript.whisperx[19].start |
2300.618 |
transcript.whisperx[19].end |
2303.39 |
transcript.whisperx[19].text |
接著,討論事項有關於中央政府前瞻計畫 |
transcript.whisperx[20].start |
2305.748 |
transcript.whisperx[20].end |
2330.523 |
transcript.whisperx[20].text |
前瞻基礎建設計畫第4期特別預算解凍案書面報告24案,包括原民會主管1案、內政部主管2案、教育部主管1案、經濟部主管6案、交通部4案、行政院農業部主管1案、衛福部主管3案、行政院環保署環境部主管1案。 |
transcript.whisperx[21].start |
2332.367 |
transcript.whisperx[21].end |
2347.868 |
transcript.whisperx[21].text |
訴發部主管3案。國科會主管2案。及中央政府疫後強化經濟及社會韌性及全民共享經濟成果特別預算解凍案書面報告3案。包括內政部主管1案及交通部主管2案。請議事人員確讀。 |
transcript.whisperx[22].start |
2356.159 |
transcript.whisperx[22].end |
2384.985 |
transcript.whisperx[22].text |
審查中央政府前瞻基礎建設第4期特別預算 112至103年度決議:一、有關原住民族委員會第2幕城鄉建設第二節推動原住民族多元產業發展2.0預算凍結600萬元。二、有關內政部主管預算凍結書面報告案2案。一、本部該部第一案第一幕數位建設第一節基礎建設環境預算凍結十分之一。二、該部第一幕數位建設第一節基礎建設環境預算凍結十分之一。三、有關教育部第三幕人才培育促進就業建設 |
transcript.whisperx[23].start |
2386.005 |
transcript.whisperx[23].end |
2410.595 |
transcript.whisperx[23].text |
預算凍結500萬元。四、有關經濟部主管預算凍結書面報告案6案。一、公安局第4目利用建設向下電動物流車補助計畫預算凍結100萬元。二、水利署及所屬第二目水環境建設第一節水域發展向下優惠費之烏溪鳥嘴潭人工湖工程計畫預算凍結5000萬元。三、水利署及所屬第二目水環境建設第二節水域安全向下縣市管 |
transcript.whisperx[24].start |
2411.704 |
transcript.whisperx[24].end |
2416.21 |
transcript.whisperx[24].text |
核穿及區域排水整體改善計畫預算凍結8000萬元。4. |
transcript.whisperx[25].start |
2416.21 |
transcript.whisperx[25].end |
2421.157 |
transcript.whisperx[25].text |
能源局第1目綠能建設向下業務費預算凍結400萬元。5. |
transcript.whisperx[26].start |
2421.157 |
transcript.whisperx[26].end |
2425.423 |
transcript.whisperx[26].text |
能源局第1目綠能建設向下去碳技術示範及人才培育計畫預算凍結200萬元。6. |
transcript.whisperx[27].start |
2425.423 |
transcript.whisperx[27].end |
2425.824 |
transcript.whisperx[27].text |
能源局第2目 |
transcript.whisperx[28].start |
2428.007 |
transcript.whisperx[28].end |
2445.99 |
transcript.whisperx[28].text |
二、綠營建設向下東部地區第6鑽井計畫預算凍結100萬元。五、有關教育部主管預算凍結書面報告案4案。一、觀光局所屬第二幕,城鄉建設第一節推動觀光升級預算凍結500萬元。二、運輸研究所第二幕,綠營建設向下公共充電裝設置及區域充電需求評估計畫之。 |
transcript.whisperx[29].start |
2447.335 |
transcript.whisperx[29].end |
2461.766 |
transcript.whisperx[29].text |
別辦理電動車、公共充電樁設施、設置、需求評估等所需經費預算凍結十分之一。3、鐵道局局所屬第二幕、軌道建設第一節、台鐵升級及改善東部服務預算凍結一千萬元。4、鐵道局局所屬第二幕、軌道建設第四節、軌道規劃計畫。 |
transcript.whisperx[30].start |
2464.148 |
transcript.whisperx[30].end |
2484.9 |
transcript.whisperx[30].text |
五、軌道規劃作業預算凍結10分之1。六、有關行政和農業委員會林業試驗所第一目綠營建設預算凍結20分之1。七、有關衛生福利部主管預算凍結書面報告案3案。一、食品藥物管理署第一目食品安全建設預算凍結10分之1。二、食品藥物管理署第一目食品安全建設向下獎補助費預算凍結300萬元。 |
transcript.whisperx[31].start |
2486.641 |
transcript.whisperx[31].end |
2507.157 |
transcript.whisperx[31].text |
三、食品藥物管理署第1目食品安全建設向下食品安全建設計畫之提升新興傳染性疾病醫藥品及食衣性病人檢驗研究量能及標準化預算凍結500萬元。八、有關行政及環境保護署第2目綠營建設預算凍結100萬元。九、有關數位發展部主管預算凍結書面報告案3案。以該部第1目 |
transcript.whisperx[32].start |
2507.917 |
transcript.whisperx[32].end |
2526.136 |
transcript.whisperx[32].text |
數位建設第2節5G基礎公共建設向下補助5G網路建設計畫預算凍結10分之1。二、自動安全署第1目數位建設第1節基礎建設環境向下台灣資安卓業深耕資安卓業中心計畫預算凍結500萬元。三、數位產業署第1目數位建設第2節產業數位 |
transcript.whisperx[33].start |
2528.298 |
transcript.whisperx[33].end |
2551.714 |
transcript.whisperx[33].text |
轉型向下引領中小微型企業數位轉型戰略攻頂計畫預算凍結10分之1。十、有關國家科學及技術委員會主管預算凍結書面報告案2案。一、該會第二幕數位建設第一節建構開放政府及智慧城鄉服務預算凍結500萬元。二、該會第三幕人才培育促進交易建設向下青年科技創新創業基地建設計畫預算凍結300萬元書面報告案。 |
transcript.whisperx[34].start |
2554.698 |
transcript.whisperx[34].end |
2568.423 |
transcript.whisperx[34].text |
二、審查中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算決議:一、有關內政部營建署及所屬第一幕減輕居住負擔及提高居住品質預算凍結1000萬元。二、有關教育部主管預算凍結書面報告案2案。一、 |
transcript.whisperx[35].start |
2570.444 |
transcript.whisperx[35].end |
2598.64 |
transcript.whisperx[35].text |
觀光局及所屬第一幕加速擴大吸引國際觀光客預算凍結3000萬元。二、公務務總局及所屬第一幕擴大公共運輸補貼減輕通勤族群交通負擔預算凍結100萬元書面報告案。宣讀完畢。好,謝謝。我想我再說明一下為了紓解會場的人潮沒有討論事項那除了機關所長需要留下來之外其他的三級機關的所長可以先行離開 |
transcript.whisperx[36].start |
2600.322 |
transcript.whisperx[36].end |
2628.823 |
transcript.whisperx[36].text |
那我們左手邊如果太擁擠的話我們二樓這邊的會場還可以使用好那因為今天的這一個登記發言的委員人數高達61人那因此呢我們待會的這一個部會呢我們就重點報告那也相關部會主要部會來進行說明好現在請主要請經濟部跟交通部來進行報告就可以了現在請相關部會所長就主管預算結算案依序報告 |
transcript.whisperx[37].start |
2630.727 |
transcript.whisperx[37].end |
2632.252 |
transcript.whisperx[37].text |
請經濟部林全仁常務次長報告 |
transcript.whisperx[38].start |
2643.393 |
transcript.whisperx[38].end |
2664.033 |
transcript.whisperx[38].text |
主席、各位委員、經濟部就主管前瞻基礎建設第4期特別預算以及中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算所作預算凍結討論事項6案依序來作報告。請各位參著書面報告的第二頁。 |
transcript.whisperx[39].start |
2665.234 |
transcript.whisperx[39].end |
2671.857 |
transcript.whisperx[39].text |
首先,第一案是針對我們產業發展署所執行的綠能建設電動物流車補助計畫預算凍結0.01億元一案來進行說明。本計畫是以電動物流車4萬維推動目標 |
transcript.whisperx[40].start |
2681.641 |
transcript.whisperx[40].end |
2697.191 |
transcript.whisperx[40].text |
串聯車廠關鍵零組件廠技術能量整合車廠物流業者及設備供應商開發符合市場需求之物流車款目前已合併補助兩案補助業者投入車型開發及示範運行共投入54輛3.5噸及34輛1.95噸之電動小貨車依據每車可減碳約63%應用場域包括一般的物流大賣場的配送 |
transcript.whisperx[41].start |
2709.64 |
transcript.whisperx[41].end |
2726.474 |
transcript.whisperx[41].text |
農會、小農集收、集送及共享自行車載運調度等本計畫將推動關鍵零組件國產化及國產電動車以加速車輛產業轉型及綠色運輸的願景。2、是本部水利署及所屬來執行的水環境建設向下 |
transcript.whisperx[42].start |
2727.575 |
transcript.whisperx[42].end |
2748.256 |
transcript.whisperx[42].text |
烏溪鳥嘴潭人工湖工程計畫是辦理人工湖工程景觀綠美化及周邊環境改善預算凍結0.5億元案進行說明本項預算系會執行環境監測評估、水域生態調查及生態環境友善等措施以符合環評承諾及落實生態保育措施 |
transcript.whisperx[43].start |
2748.857 |
transcript.whisperx[43].end |
2767.286 |
transcript.whisperx[43].text |
查鳥水潭人工湖112年10月所以完成全部6個湖區主體工程並供水資下游進水場處理後供應彰化及南投地區、維南區持續辦理景觀、綠美化及環境監測調查等工作以創造優質水域環境帶動地方經濟發展。 |
transcript.whisperx[44].start |
2769.708 |
transcript.whisperx[44].end |
2792.844 |
transcript.whisperx[44].text |
3、本部水利署及所屬所執行的水環境建設所以安全向下縣市管河川及區域排水整體改善計畫預算凍結0.8元一項進行說明本計畫依據各縣市管河川排水治理計畫針對各縣市高淹水風險地區排水加速改善本部水利署於執行過程中 |
transcript.whisperx[45].start |
2793.985 |
transcript.whisperx[45].end |
2813.559 |
transcript.whisperx[45].text |
召開地方說明會以參佐民意,使施政更符合民眾的期待。該署每月邀請各縣市政府召開控管會議、滾動檢討執行情形,並透過河川分署溝通平台會議協助解決遭遇困難,務使計畫經會發揮最大的治水成效。 |
transcript.whisperx[46].start |
2814.119 |
transcript.whisperx[46].end |
2831.196 |
transcript.whisperx[46].text |
本計畫成果良好,受到各界普遍認可,且考量受氣候影響甚具有推動迫切性經濟卻有時需,以利於計畫如期如子完工,提供更完善的防洪設施。4本部能源署執行綠能建設業務會預算凍結0.04億元進行說明。 |
transcript.whisperx[47].start |
2835.578 |
transcript.whisperx[47].end |
2861.999 |
transcript.whisperx[47].text |
每項預算系會辦理葉劉電池儲能系統技術驗證、Megawatt等級儲能電池健康檢測及評估技術等計畫,用於推動大型葉劉電池系統技術驗證場域建立、進行長時間儲能系統性能實驗場域與效能的評估,並開發國內自主Megawatt等級儲能電池健康檢測及評估的技術,提升系統可靠度與儲能暗場運轉效益。 |
transcript.whisperx[48].start |
2863.72 |
transcript.whisperx[48].end |
2892.097 |
transcript.whisperx[48].text |
除能系統為國內再生能源發電佔比提高之重要配套本項計畫成果有助供電穩定加速除能設置及確保系統安全並可提升民眾對除能系統應用與生活的接受度第5項是本部能源署執行綠能建設去探技術示範及人才培育計畫預算凍結0.02億元一案進行說明本項預算需於台南沙崙智慧綠能科學城場域設置 |
transcript.whisperx[49].start |
2892.857 |
transcript.whisperx[49].end |
2899.144 |
transcript.whisperx[49].text |
策試及驗證高占比再生能源情境所需相關淨敏技術的導入,包含綠電產銷與管理驗證平台智慧 |
transcript.whisperx[50].start |
2903.696 |
transcript.whisperx[50].end |
2925.505 |
transcript.whisperx[50].text |
自衛能源區域實證平台與氫能失換驗證平台等工作項目,執行重點為盤點綠電交易制度,完成國內綠電轉供估算平台的雛型,提供公務車綠色充電服務及建立彈性電能轉供量計算的機制等,有助發展我國自由技術及達成國家近年轉型的目標。 |
transcript.whisperx[51].start |
2927.046 |
transcript.whisperx[51].end |
2946.518 |
transcript.whisperx[51].text |
是本部能源署執行綠能建設東部地區地熱專井計畫預算凍結0.01元一案進行說明。本項預算系規劃於宜蘭土產地區專找4口地熱井及於南陽平原專找1口深層地熱碳勘井,看明潛在地熱運償量, |
transcript.whisperx[52].start |
2947.739 |
transcript.whisperx[52].end |
2959.142 |
transcript.whisperx[52].text |
供未來擴大開發地熱發電能源之廠址調查及收集高溫地下水之分布及水溫的範圍作為東部地熱發電廠之建構依據提升臺灣東部地區地熱資源產能及發電量並評估地熱能量潛力及擴大開發之可行性有助加速國內地熱開發進程提高我國再生能源佔比 |
transcript.whisperx[53].start |
2971.105 |
transcript.whisperx[53].end |
2983.58 |
transcript.whisperx[53].text |
並可鼓勵民間投入相關產業。以上各項計畫所編預算,均系配合國家重要政策之需,為利各項計畫及早完成,以發揮效益,懇請各位委員支持,並同意相關經費自動資。以上報告,謝謝。 |
transcript.whisperx[54].start |
2999.015 |
transcript.whisperx[54].end |
3016.062 |
transcript.whisperx[54].text |
主席、各位委員、女士先生現在交通部緊就中央政府前瞻基礎建設計畫第4期的特別預算還有中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算有關本部主管的解凍 |
transcript.whisperx[55].start |
3016.642 |
transcript.whisperx[55].end |
3021.706 |
transcript.whisperx[55].text |
前瞻特別預算的部分,總共有4案。觀光局在城鄉建設下凍結500萬元。本部觀光署為持續推動花東地區國際旅遊市場,已經嚴定推動花東永續旅遊境外包機計畫。 |
transcript.whisperx[56].start |
3041.664 |
transcript.whisperx[56].end |
3054.358 |
transcript.whisperx[56].text |
及修正境外包機來臺的補助要點,未來將持續結合各地方政府加強宣導包機的獎勵措施,來鼓勵積極送客到富花東去旅遊。 |
transcript.whisperx[57].start |
3056.24 |
transcript.whisperx[57].end |
3059.001 |
transcript.whisperx[57].text |
預言所綠能建設下凍結10%預算本部預言所在112至113年辦理電動車公共充電樁設施設置需求評估研究 |
transcript.whisperx[58].start |
3072.928 |
transcript.whisperx[58].end |
3091.664 |
transcript.whisperx[58].text |
本研究以於112年收集電動車使用者使用需求特性及國內外的相關文獻,112年將建立電動車公共充電樁的設施需求的評估模式,來探討不同情形下的電動公車公共充電樁需求變化的情形。 |
transcript.whisperx[59].start |
3092.985 |
transcript.whisperx[59].end |
3108.096 |
transcript.whisperx[59].text |
第3案是有關我們鐵道局在軌道建設下所凍結的一千萬元。這部分本部的鐵道局於112年到11月20日已經將花蓮縣政府提報的花蓮車站以南至木瓜西提防 |
transcript.whisperx[60].start |
3109.418 |
transcript.whisperx[60].end |
3114.243 |
transcript.whisperx[60].text |
2、鐵路立體化的可行性研究案。3、研議已經納入了花東地區鐵路雙軌電氣化計畫的修正計畫,而且已於113年3月29日提報行政院來審理中。4、鐵道局凍結預算。 |
transcript.whisperx[61].start |
3130.8 |
transcript.whisperx[61].end |
3151.68 |
transcript.whisperx[61].text |
大家所關切的高鐵延伸屏東規劃的一個作業的路線規劃以依環境影響評估公開說明會的意見檢討辦理也就是沿理高雄市的人武區的路段朝向與高雄到屏東間的所謂的東西向第二條快速公路計畫共用路廊的方向來規劃 |
transcript.whisperx[62].start |
3153.524 |
transcript.whisperx[62].end |
3156.765 |
transcript.whisperx[62].text |
一、有關教育部主管預算凍結書面報告案4案。一、有關教育部主管預算凍結書面報告案4案。一、有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[63].start |
3174.653 |
transcript.whisperx[63].end |
3175.714 |
transcript.whisperx[63].text |
2、有關公務局及所屬辦理的擴大公共運輸補貼凍結書面報告案。 |
transcript.whisperx[64].start |
3194.406 |
transcript.whisperx[64].end |
3210.356 |
transcript.whisperx[64].text |
公共預輸通勤預票從112年7月1日上路實施,迄今全國已有19個縣市推動實施,共有23個預票方案。澎湖縣的預票方案也預定在今年的上半年上路。 |
transcript.whisperx[65].start |
3212.697 |
transcript.whisperx[65].end |
3228.284 |
transcript.whisperx[65].text |
一、有關教育部主管預算凍結書面報告案5案。一、有關教育部主管預算凍結書面報告案6案。一、有關教育部主管預算凍結書面報告案7案。一、有關教育部主管預算凍結書面報告案8案。一、有關教育部主管預算凍結書面報告案9案。一、有關教育部主管預算凍結書面報告案10案。一、有關教育部主管預算凍結書面報告案11案。一、有關教育部主管預算凍結書面報告案12案。一、有關教育部主管預算凍結書面報告案13案。一、有關教育部主管預算凍結書面 |
transcript.whisperx[66].start |
3239.389 |
transcript.whisperx[66].end |
3250.516 |
transcript.whisperx[66].text |
這個計畫裡的其中有關自由行的獎助方案,到今年3月為止共計有212萬名的國外旅客參加抽獎,總共有36萬人中獎。團課獎勵方面也有2萬團提出申請。 |
transcript.whisperx[67].start |
3257.84 |
transcript.whisperx[67].end |
3273.571 |
transcript.whisperx[67].text |
至於就穩定旅宿業服務量能的部分,我們也與勞動部跟教育部共同合作。到了113年的3月底,旅宿業者暨新聘防務清潔人員2,669人。本計畫在112年以成功帶動全年來台的旅客數,已經超過640萬人次。 |
transcript.whisperx[68].start |
3285.459 |
transcript.whisperx[68].end |
3295.309 |
transcript.whisperx[68].text |
以上是就這兩個特別預算的一個報告做簡要的一個說明那還是懇請各位委員的支持必利於本部的各項計畫能夠順利推動謝謝 |
transcript.whisperx[69].start |
3297.881 |
transcript.whisperx[69].end |
3317.443 |
transcript.whisperx[69].text |
好,謝謝我們交通部陳正智的報告。其他部會請參閱書面報告。現在開始詢答。先做以下宣告。每位出席委員發言時間為5分鐘。必要時得延長1分鐘。每位列席委員發言時間為4分鐘。今日上午10點截止發言登記。現在依照登記的順序請登記第一位林德福委員質詢。 |
transcript.whisperx[70].start |
3333.386 |
transcript.whisperx[70].end |
3334.046 |
transcript.whisperx[70].text |
陳副主席 |
transcript.whisperx[71].start |
3351.989 |
transcript.whisperx[71].end |
3368.185 |
transcript.whisperx[71].text |
委員好。你好,副主席長你好。因為再過幾天你們朱主席長就要卸任了。那在8年任內行政院所提出的一些特別預算那監察院曾經在109年提出調查報告 |
transcript.whisperx[72].start |
3370.147 |
transcript.whisperx[72].end |
3387.747 |
transcript.whisperx[72].text |
說我們的特別預算編列有常態化的這種現象那政府恐將有將部分支出隱藏於這些前瞻計畫的特別預算裡面造成109年度總預算財政收支平衡之假象 |
transcript.whisperx[73].start |
3388.968 |
transcript.whisperx[73].end |
3412.296 |
transcript.whisperx[73].text |
那中央政府在推動前瞻計畫因為未能充分考量地方的財政以至於地方政府有挪移預算產生排擠的一個效應那我請問副組長對於監察院針對政府特別預算常態化的這種看法那個副組長你認不認同 |
transcript.whisperx[74].start |
3413.936 |
transcript.whisperx[74].end |
3440.591 |
transcript.whisperx[74].text |
謝謝委員這個關心實際上我們所有編列特別預算一定要符合預算法第83條的條件然後也最近這幾年的特別預算一定是先有條例經過我們大院我知道啊那問題是監察院為什麼要調查呢如果你認同的話那你是不是應該要給下一任尤其你們應該給下一任的主計長有一些參考建議啊如果你要是 |
transcript.whisperx[75].start |
3441.391 |
transcript.whisperx[75].end |
3456.343 |
transcript.whisperx[75].text |
不認為說特別預算有常態化的現象,那是不是代表你認同行政機關對於預算法第83條的解釋,應該是要往擴大解釋的方向走,是不是? |
transcript.whisperx[76].start |
3456.903 |
transcript.whisperx[76].end |
3457.504 |
transcript.whisperx[76].text |
主席主席總書 |
transcript.whisperx[77].start |
3476.64 |
transcript.whisperx[77].end |
3491.827 |
transcript.whisperx[77].text |
陳花新文稿表示,由於普通公務預算一年才編列一次,但如果有特殊大筆經費需求,需要到隔年的預算才能編列,移屬反不及急。 |
transcript.whisperx[78].start |
3493.368 |
transcript.whisperx[78].end |
3500.991 |
transcript.whisperx[78].text |
需依法編列特別預算並送立法院來審議。現在國民黨提出《0403 政災重建條例》草案,要求編列150億元特別預算來協助重建,請問你認為《0403 政災特別預算》經費是不是有必要? |
transcript.whisperx[79].start |
3518.646 |
transcript.whisperx[79].end |
3545.786 |
transcript.whisperx[79].text |
有沒有必要?跟委員報告就是說當然我們預算法的規定就是重大災變可以提特別預算不過因為我們現在災害防救法已經在921之後已經賦予可以已緩計及所以目前各部會在還沒有特別預算之前其實已經都找到預算趕快去進行這個災險跟重建的工作所以目前盤點以後目前已經有 |
transcript.whisperx[80].start |
3546.446 |
transcript.whisperx[80].end |
3547.226 |
transcript.whisperx[80].text |
主席 |
transcript.whisperx[81].start |
3568.015 |
transcript.whisperx[81].end |
3588.946 |
transcript.whisperx[81].text |
快速的整合各部會資源權力來投入重建,不需要另立特別的條例,快又有效。那我請問副主席黨,到底特別預算的編列是要看經費需求的急迫性,還是要看哪個政黨執政才有特別預算編列與否的決定權呢? |
transcript.whisperx[82].start |
3593.469 |
transcript.whisperx[82].end |
3613.449 |
transcript.whisperx[82].text |
其實這個要不要編特別預算有兩個角度一個就是說它的急迫性當然一個是它的規模那現在因為目前我們盤點的規模以我們現有的手上的這些災準金或者遺患基金等等還有政災基金會等財源是足夠支援的那哪時候可以確定呢 |
transcript.whisperx[83].start |
3614.981 |
transcript.whisperx[83].end |
3629.353 |
transcript.whisperx[83].text |
我們現在已經在進行了,已經都在執行了。在執行,因為行政院如果能夠快速整合各部會資源籌措250億,那不就是坐實了行政院年度預算是胡編嗎? |
transcript.whisperx[84].start |
3631.794 |
transcript.whisperx[84].end |
3653.219 |
transcript.whisperx[84].text |
因為921的經驗所以各部會比如說交通部、農委會他們本來的預算就有編了一些跟災害有關的預算那我們也要求地方政府或者我們中央大家都有災害準備金的這樣的一個編列所以它的應付災害的能力已經提升了 |
transcript.whisperx[85].start |
3653.559 |
transcript.whisperx[85].end |
3663.997 |
transcript.whisperx[85].text |
我知道但是問題地方政府他沒有那麼多的預算啊因為本席對於吼拿救災預算的經費合理化來作為吼政治鬥爭籌碼的行為啊 |
transcript.whisperx[86].start |
3666.704 |
transcript.whisperx[86].end |
3691.314 |
transcript.whisperx[86].text |
本期是不以為然所以說我一直認為說這個一定要建立制度而且要怎麼快速因為畢竟像這樣的一個重大災害算是這個國家級的那你不是只有單一花蓮其他縣市有的也是蠻嚴重的那副組長我再請教這個 |
transcript.whisperx[87].start |
3697.027 |
transcript.whisperx[87].end |
3702.969 |
transcript.whisperx[87].text |
臺經院上禮拜公布今年最新的經濟成長率預測為3.29%比1月預測的0.14%上修0.14%。CPI年增率也上修到2.13%。而且因為受到 |
transcript.whisperx[88].start |
3716.275 |
transcript.whisperx[88].end |
3733.87 |
transcript.whisperx[88].text |
電價調漲、物價上漲的牽動以及中東地緣政治風險升溫的影響形成加劇整個通膨的一個壓力甚至於對國內輸入性通膨造成新一波的壓力那副主席長針對台積電對於經濟成長力CPI的預測請問你有什麼看法 |
transcript.whisperx[89].start |
3739.018 |
transcript.whisperx[89].end |
3767.299 |
transcript.whisperx[89].text |
因為第一季我們的實際的結果也的確比原來預測的還好所以我們原來預估的3.43也有可能會往上調升那至於CPI就是目前就是也考量了這個電價的調整我們預估也盡量希望就是大概控制在全年在2%左右因為那個國內輸入性通貨的壓力已經是蠢蠢欲動還是已經出現了?你的看法呢? |
transcript.whisperx[90].start |
3768.687 |
transcript.whisperx[90].end |
3795.923 |
transcript.whisperx[90].text |
我想民眾主要感受是說他購買頻率很高的那他感受的確會比較深那這個部分我們也會針對購買頻率比較高的去做的一個CPI的這個比例但是就平均而言我們希望控制在2%左右好最後一個警器護書下的台青院是這樣預測結果那請問副主席長你認為今年第二季以後到底會更樂觀還是會悲觀 |
transcript.whisperx[91].start |
3798.12 |
transcript.whisperx[91].end |
3798.38 |
transcript.whisperx[91].text |
陳婷薇委員質詢 |
transcript.whisperx[92].start |
3826.815 |
transcript.whisperx[92].end |
3827.196 |
transcript.whisperx[92].text |
交通部次長 |
transcript.whisperx[93].start |
3837.729 |
transcript.whisperx[93].end |
3862.987 |
transcript.whisperx[93].text |
委員好市長好市長我們的單軌藍線一起有條件通過那總經費是324.37億這個部分讓大家都覺得我們台南要蓋捷運了是以單軌捷運的方式可是其實你細看裡面 |
transcript.whisperx[94].start |
3864.195 |
transcript.whisperx[94].end |
3889.606 |
transcript.whisperx[94].text |
他是有條件的通過有條件的通過而且他現在是高價他有條件的通過在這整個過程當中他是要從主要連接我們的高鐵到我們的所謂的轉運站東區的轉運站這樣的一個區塊所以呢大家都希望有這一條來做連結可是 |
transcript.whisperx[95].start |
3892.967 |
transcript.whisperx[95].end |
3911.854 |
transcript.whisperx[95].text |
有條件的通過,這裡面的條件,市長,裡面所寫的其實沒有那麼容易來做處理。第一個,他說,台南市政府需再加強說明採用該系統原因及後續營運維修成本。這很困難的。 |
transcript.whisperx[96].start |
3916.567 |
transcript.whisperx[96].end |
3921.009 |
transcript.whisperx[96].text |
2、總經費較可行性研究增加126.74億,它的責任歸屬。3、中央與地方經費分攤、經濟效益及運量估算合理性。這三個,你先讓它 |
transcript.whisperx[97].start |
3943.696 |
transcript.whisperx[97].end |
3962.45 |
transcript.whisperx[97].text |
過了一個頭,過去人們都說頭過心就過,但是這看了不是這樣,有條件的通過,原本大家都期待說藍線一起我們環評過了,結果是有條件通過,市長這到底是怎麼一回事? |
transcript.whisperx[98].start |
3964.162 |
transcript.whisperx[98].end |
3987.388 |
transcript.whisperx[98].text |
我想我跟委員報告一下有關台南市的藍線本部是在3月21號召開相關的審查會當然審查會裡頭有相關的意見是希望台南市政府再去釐清說明說明完了以後其實我們就會幫整個計畫環保行政院來核定但是你釐清說明的這三點你這三點是可大可小 |
transcript.whisperx[99].start |
3990.469 |
transcript.whisperx[99].end |
4017.268 |
transcript.whisperx[99].text |
市長這三點是可大可小我跟委員報告其實這個整個採用什麼樣的系統採用什麼樣的營運的方式在可行性的階段其實市政府做了很詳盡的研究那提出來的之後至於它採行了這樣的一套的系統那在相關當時的審查委員認為是說可能要請市政府再說明把它說明清楚並不是說這樣意思就是說在質疑它採用這樣的一個系統 |
transcript.whisperx[100].start |
4019.369 |
transcript.whisperx[100].end |
4040.279 |
transcript.whisperx[100].text |
我就跟你講,你這三點是可大可小,對不對?如果只是認同它這個系統,然後呢,在未來它可行性評估的營運維修成本只是有一點點需要補強的,那沒有問題。如果像你講的,如果委員是認為這個系統是有問題的喔, |
transcript.whisperx[101].start |
4042.64 |
transcript.whisperx[101].end |
4060.443 |
transcript.whisperx[101].text |
那是可大可小。再來,總經費,它比可行性研究當時候增加了126.74億,比較多的大概都是我們的所有土建相關我們的預算增加。 |
transcript.whisperx[102].start |
4062.059 |
transcript.whisperx[102].end |
4062.079 |
transcript.whisperx[102].text |
市長 |
transcript.whisperx[103].start |
4083.407 |
transcript.whisperx[103].end |
4110.078 |
transcript.whisperx[103].text |
可不可以簡單說明再說明清楚一點好不好就是有關這樣的一個計畫在我們這個部裡頭召開的審查委員審查完以後是有條件通過請他修正完了以後我們就會把這樣的一個計畫報院所以呢這個剛才委員講到說這個報院的期程應該在市政府報來了以後我們大概看了一下沒問題我們就會往行政院來審報市長你這句話很重要喔那至於可行性的研究因為我就跟你講說 |
transcript.whisperx[104].start |
4111.158 |
transcript.whisperx[104].end |
4139.946 |
transcript.whisperx[104].text |
你寫的這幾點是可大可小。如果說你今天像次長所說的,我們都審過了,只有一個小修正,OK?可是如果不是這個樣子,又是三邊推薦來推薦去,那基本上我們當時候在媒體看得大大的,也就是我們已經通過了所謂的一個初步審查, |
transcript.whisperx[105].start |
4140.626 |
transcript.whisperx[105].end |
4165.392 |
transcript.whisperx[105].text |
那等於就沒有意義了。市長,你要記得你今天所說的喔。市長,我跟委員報告,有條件的通過其實是整體上委員對這整個計畫是可以通過的。當然啦,整體可以通過,但是只是稍微修正。這個原則請把它踩住。沒問題,我們會依照這樣的原則來做後續的一個處理。因為其實我們的捷運 |
transcript.whisperx[106].start |
4167.412 |
transcript.whisperx[106].end |
4193.617 |
transcript.whisperx[106].text |
單軌捷運基本上它是有藍線、綠線、紅線綠線、紅線都還在規劃都還沒有正式有這樣的一個雛形那今天藍線會跑得比較快是因為它確實它可以連接我們的高鐵到我們的東區的轉運站所以這個是有它基本上的需要甚至還可以連接到我們未來整個我們的火車站 |
transcript.whisperx[107].start |
4195.05 |
transcript.whisperx[107].end |
4216.555 |
transcript.whisperx[107].text |
這個都有它的一個脈絡性所以這一條會比較被重視而且認為因為它是高價高價其實未來還有一個所謂的落墩的問題落墩的問題這邊比較空曠比較沒有所謂跟我們住戶有所謂的一個比鄰的狀態所以我們都希望這一條要趕快走 |
transcript.whisperx[108].start |
4217.415 |
transcript.whisperx[108].end |
4241.127 |
transcript.whisperx[108].text |
要趕快走所以在整個藍線、綠線、紅線它在本來2.25億的一個先期的運輸系統規劃那現在藍線跑得比較快所以我們希望不要讓我們地方失望是這個部分好第二個問題就是我們現在所看到的新式鐵路高架化 |
transcript.whisperx[109].start |
4242.578 |
transcript.whisperx[109].end |
4265.14 |
transcript.whisperx[109].text |
新市鐵路高架化新市鐵路高架化我知道現在臺南市政府還在做新市及善化地區鐵路立體化可行性研究的期末相關作業對不對所有的資料都還在市政府是不是所以你們這邊沒有資料我要求交通部你現在 |
transcript.whisperx[110].start |
4266.121 |
transcript.whisperx[110].end |
4292.158 |
transcript.whisperx[110].text |
因為你要評估我們現在所有的地下、鐵路地下化的進度到未來走到我們新市高架大概要多久?因為你們預估出時間才能催促市政府要趕快把時間定出來啊否則他東西不送出來怎麼辦?來預計一下我們現在所有的地下化都在進行啊趕快回答吧 |
transcript.whisperx[111].start |
4297.563 |
transcript.whisperx[111].end |
4325.691 |
transcript.whisperx[111].text |
我跟委員報告一下有關那個鐵路地下化的部分我們會在115年會通車啊對啊115年對那這整個的話那後續的這個就要看市政府報來了以後從永康再到新市那這個部分呢這個部分你預計呢115年我們鐵路地下化通車那後面我銜接到我們永康新市新化這裡的還有這個上化我想委員這部分呢可能還是我先下這部分資料好不好 |
transcript.whisperx[112].start |
4326.631 |
transcript.whisperx[112].end |
4335.06 |
transcript.whisperx[112].text |
沒有,這一句話而已。對,對,對,我的意思是說還是希望這個台南市政府報來了以後,是,我們來協助啦,好不好,我們來接下,我們來協助他啦。如果他都不動的話,等到我們做完,後面計畫都還沒上來,怎麼會來得及呢? |
transcript.whisperx[113].start |
4342.247 |
transcript.whisperx[113].end |
4342.407 |
transcript.whisperx[113].text |
請吳秉瑞委員質詢 |
transcript.whisperx[114].start |
4379.4 |
transcript.whisperx[114].end |
4382.881 |
transcript.whisperx[114].text |
主席,麻煩請內政部發次長。內政部的發次長,請。市長早。這個花蓮403地震,全國人民都很關心。除了中央這邊也有捐款,也有人直接捐到花蓮縣政府之外, |
transcript.whisperx[115].start |
4405.859 |
transcript.whisperx[115].end |
4418.565 |
transcript.whisperx[115].text |
是對中央對花蓮縣的救災要求我們沒有承諾嗎?當然有承諾那有承諾他盤點清楚受損的部分沒有? |
transcript.whisperx[116].start |
4419.778 |
transcript.whisperx[116].end |
4438.163 |
transcript.whisperx[116].text |
目前花蓮陸陸續續盤點出來現階段有十幾棟大概會有可能要拆除或者是整個建築物的部分那另外道路的還有其他的那這些工程的搶修不是已經在進行了嗎是 |
transcript.whisperx[117].start |
4440.203 |
transcript.whisperx[117].end |
4452.371 |
transcript.whisperx[117].text |
那現在中央政府也同意至少有匡列250億以上馬上要投入救災那為什麼還需要一個什麼特別條例啊而且特別條例大家覺得規模才150億耶 |
transcript.whisperx[118].start |
4455.001 |
transcript.whisperx[118].end |
4474.987 |
transcript.whisperx[118].text |
還遠遠不如中央政府的預算規模而且中央政府不用經過立法的程序馬上就要做然後現在你要弄一個特別條例要經過本院立法 立法程序走完之後再由行政院再來編列預算然後再來去進行 那目的是150億還比行政院現在已經願意馬上投入執行的250億還要少這是在幹嘛 |
transcript.whisperx[119].start |
4478.626 |
transcript.whisperx[119].end |
4484.661 |
transcript.whisperx[119].text |
確實啦,但我想以現在行政院用方案的方式來執行,其實效率跟規模都會符合災民的需求。 |
transcript.whisperx[120].start |
4485.472 |
transcript.whisperx[120].end |
4514.965 |
transcript.whisperx[120].text |
那是不是我現在意思是說所以我懷疑是不是花蓮縣政府跟中央之間的溝通有問題啊會不會花蓮縣政府要報什麼救災的這個計畫來啊結果中央政府不接受還是中央政府跟他邀說你要盤點清楚你哪一些東西要救災要趕快來進行然後他不給你到底是哪一種狀況啊應該沒有他花蓮需要中央協助中央不處理的這個基本上是沒有啦 |
transcript.whisperx[121].start |
4515.165 |
transcript.whisperx[121].end |
4522.135 |
transcript.whisperx[121].text |
那有沒有花蓮?中央要花蓮盤點受災的狀況,花蓮不報的?我想各部會可能都有不同的狀況,那當然有些資訊確實慢了一些。 |
transcript.whisperx[122].start |
4526.226 |
transcript.whisperx[122].end |
4548.6 |
transcript.whisperx[122].text |
好那如果是這樣的話就回到我剛剛講的中央政府尤其行政機關沒有這些特別條例的狀況下已經匡列250億馬上要投入救災嘛只要你計畫報來確實就要進行嘛對不對甚至我們也會主動下去就執行執了解所以我現在意思說內政部要主動要了解有有有好那如果是這樣的話這樣子的速度 |
transcript.whisperx[123].start |
4549.659 |
transcript.whisperx[123].end |
4570.938 |
transcript.whisperx[123].text |
今天報來確定明天就可以做甚至今天就可以做那有需要來提一個這個政災的特別條例特別條例是一個法律案法律案要到本院來審查法院法律案的審查在立法院再快直接抽出進付二讀也要好幾個禮拜啊那然後之後再來根據這個 |
transcript.whisperx[124].start |
4572.559 |
transcript.whisperx[124].end |
4598.647 |
transcript.whisperx[124].text |
這個特別條例再來由行政院編列預算那再經過本院審查這個預算的審查再快也要兩三個禮拜馬上就可以做的事情有需要經過這樣兩三個月的程序然後來去立一個特別條例然後來編列預算來做嗎這個是第一個我不懂的地方這是在幹嘛我不瞭解所以我想請教你你的看法是這是在幹嘛 |
transcript.whisperx[125].start |
4599.875 |
transcript.whisperx[125].end |
4600.455 |
transcript.whisperx[125].text |
主席主席主席 |
transcript.whisperx[126].start |
4622.512 |
transcript.whisperx[126].end |
4649.92 |
transcript.whisperx[126].text |
慈善機構也是我們的宗教團體叫做慈濟他的大本營就是在花蓮對不對是慈濟在全世界救災喔全世界有到處去喔連非洲連中南美洲各地土耳其只要有正在的地方他都派人去支援也弄了非常多的組合屋你知道嗎是包括20多年前的九合一地震九合一大地震他也弄了非常多的組合屋啊台灣組合屋不夠嗎 |
transcript.whisperx[127].start |
4652.096 |
transcript.whisperx[127].end |
4679.081 |
transcript.whisperx[127].text |
以目前花蓮的狀況甚至有沒有需要組合屋都還要再詳細的評估一下有沒有需要組合屋需要詳細的Promote那就算有需要組合屋台灣組合屋不夠嗎還是政府不願意提供然後還是慈善團體不願意提供100間組合屋需要從中國特別運過來要從中國特別來救濟有這樣的需求嗎應該是沒有 |
transcript.whisperx[128].start |
4680.353 |
transcript.whisperx[128].end |
4704.862 |
transcript.whisperx[128].text |
那一間組合屋的估價,你估價是多少?其實有不同的推估啦,我們前陣子有請工會幫忙評估,大概算一坪啦,我們大概還是用坪的角度來看,一坪大概在七八萬塊。一坪七八萬塊,那組合屋一般是多少坪?二十坪、三十坪,二十坪的左右比較多啦,十幾坪到二十坪。一百多萬嗎?是。 |
transcript.whisperx[129].start |
4706.294 |
transcript.whisperx[129].end |
4721.891 |
transcript.whisperx[129].text |
那你講的這個是在當地施工的喔?是那如果是從中國那邊一百千運過來海運、空運運過來來這邊組裝那要花多少錢?這個我就不是很清楚運費應該不便宜 |
transcript.whisperx[130].start |
4723.629 |
transcript.whisperx[130].end |
4748.008 |
transcript.whisperx[130].text |
那就很奇怪啊沒有需要那遠巴巴的那麼多人去中國去乞討一個100間的組合屋我們不見得需要就算有需要台灣也絕對供應得起這是在幹什麼我在搞不懂這是在幹嘛所以最近我跟社會覺得越來越脫節了做了很多事情我越來越搞不懂邏輯上不清楚啊為什麼這樣 |
transcript.whisperx[131].start |
4749.676 |
transcript.whisperx[131].end |
4766.311 |
transcript.whisperx[131].text |
今天如果說中央政府不願意給你補助經費,像當年高雄氣爆,那時候中央政府不願意給高雄補助。這次地震,全國人民都在關心,中央政府馬上第一時間也說要,立刻就給。然後也已經匡列250億在那邊等他。 |
transcript.whisperx[132].start |
4769.132 |
transcript.whisperx[132].end |
4791.422 |
transcript.whisperx[132].text |
這樣子還要弄一個特別條例再來台灣又不缺組合屋台灣隨時也有人願意提供組合屋台灣的善心人士很多啦真的有實際需要這個哪裡是問題一百間組合屋是什麼問題一定有社會上這麼多人的愛心可以提供嘛我也願意如果有這樣的機會我也願意笑眠婆之力啊 |
transcript.whisperx[133].start |
4792.486 |
transcript.whisperx[133].end |
4813.875 |
transcript.whisperx[133].text |
那在這樣的狀況之下到底在幹嘛我算是看不懂內政部我覺得你要加油跟地方政府多溝通地方政府有什麼需要是不是我們不夠了解我們的關懷度不夠讓地方政府覺得說我們都沒有在關心他嗎我們都會持續盤點我們的住興補貼跟現在交通部提供的旅館的這個部分合起來其實有超過3000戶的協助 |
transcript.whisperx[134].start |
4816.096 |
transcript.whisperx[134].end |
4831.047 |
transcript.whisperx[134].text |
因為民政系統是在你們的手裡,所以我是說對地方政府要多關懷,不要讓地方政府覺得說他們跟我們之間有很大的隔閡。我們是我本江西向明月,不要明月照溝渠。 |
transcript.whisperx[135].start |
4846.618 |
transcript.whisperx[135].end |
4846.798 |
transcript.whisperx[135].text |
G7工業國 |
transcript.whisperx[136].start |
4866.502 |
transcript.whisperx[136].end |
4889.845 |
transcript.whisperx[136].text |
公開所不再發表反核的言論承認核能環保地位那個環境部的也可以來環境部長官可以來他特別提到了他特別提到了我們認識到核能作為清潔clean零排放人員的潛力 |
transcript.whisperx[137].start |
4892.421 |
transcript.whisperx[137].end |
4920.331 |
transcript.whisperx[137].text |
我就請教經濟部,你們還要反核嗎?還要廢核嗎?世界趨勢已經這個樣子,而且新北市的合一的甘土廠、核市場也幫你解套了。這個時間,你要不要順水推舟,接這個球,就開始回應社會的希望用核能當作你的穩定的基站。回應一下。 |
transcript.whisperx[138].start |
4921.81 |
transcript.whisperx[138].end |
4937.111 |
transcript.whisperx[138].text |
謝謝委員這邊的提問。我想各式能源都有它的優缺點,我們都會特別去關注。你知道昨天桃園又停電嗎?你知道桃園昨天又停電嗎?我想我有看到那個媒體報導。奇怪,他為什麼停電就停桃園? |
transcript.whisperx[139].start |
4938.308 |
transcript.whisperx[139].end |
4958.284 |
transcript.whisperx[139].text |
你看我們外媒你委員也不順眼是不是?還怎麼樣?老是停桃園啊!還是因為說桃園6個立委從事國民黨的所以停就停他們?我想不是這樣的,台電已經很清楚對外說明那是配電系統的一個問題。配電系統?你們台電的總經理還是配電系統專家咧? |
transcript.whisperx[140].start |
4959.865 |
transcript.whisperx[140].end |
4971.733 |
transcript.whisperx[140].text |
一、有關教育部主管預算凍結書面報告案4案。一、有關教育部主管預算凍結書面報告案4案。一、有關教育部主管預算凍結書面報告案4案。一、有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[141].start |
4984.724 |
transcript.whisperx[141].end |
5011.562 |
transcript.whisperx[141].text |
一天秀一支不是,我想那個臺電原本都在網站裡面有提供他們的備轉容量的狀況對啦,但是它不是像現在瞬間嗎?這個某種程度你們就是想卸責說我給你看喔隨時的你的備轉容量你萬一第3的話第1期你自己要小心停電你自己負責這個樣子的卸責所以臺電沒有回答問題你們現在難道不需要監討你的人員政策嗎? |
transcript.whisperx[142].start |
5013.074 |
transcript.whisperx[142].end |
5027.626 |
transcript.whisperx[142].text |
對河南的態度!對河南的態度!我想委員所提到的部分我們實時在檢視我們對供電穩定的相關的措施這個是本來就經濟部的職責一定要去實時的檢視我在問你河山經營的企業是不是確定就停了? |
transcript.whisperx[143].start |
5029.988 |
transcript.whisperx[143].end |
5046.723 |
transcript.whisperx[143].text |
呃,相關的這個規定齁,核能的廚藝,核能的這個相關的廚藝有它的規定,那我們必須按照法律規定的這個規範來進行。你說我聽不懂啦,你是確定停啦,不再運轉了是不是啊?當然,因為它的運轉直到...它的發電量從什麼地方來呢?它的發電量從什麼地方...事實上我們有新的電廠會來這個運轉這樣子。新的電廠在哪裡呢? |
transcript.whisperx[144].start |
5054.836 |
transcript.whisperx[144].end |
5083.515 |
transcript.whisperx[144].text |
事實上我們對於這個河嶺河山廠的內部有98萬千瓦那沒錯嘛對那會從這個森巴二期還有張安靜100萬千瓦會上來我們會去支應還有大潭電廠的那個電廠你們這個要跟社會講清楚啊到現在為止討厭老是停電可見的電的不夠啊啊人家一定是這樣講全世界這樣子然後呢這個侯友宜的作秀給你們呢就不接我知道我知道對不對我知道你為了保公會老是要在這裡 |
transcript.whisperx[145].start |
5085.056 |
transcript.whisperx[145].end |
5094.403 |
transcript.whisperx[145].text |
對不對?你不敢講真話?沒有沒有。現在需要核電啦。好不好請問請問。我們請一下內政部這個處長跟……內政部的處長跟國土…國土書信。兩位長官啊。各位好。 |
transcript.whisperx[146].start |
5109.312 |
transcript.whisperx[146].end |
5126.095 |
transcript.whisperx[146].text |
你們要幫賴皮了解到,要拍賴清德的馬屁,要拍得好啊。你用原住民去計畫,賴清德跟原住民沒有任何的關係,他也不是原住民的後代。 |
transcript.whisperx[147].start |
5126.776 |
transcript.whisperx[147].end |
5126.856 |
transcript.whisperx[147].text |
區域計畫法 |
transcript.whisperx[148].start |
5146.021 |
transcript.whisperx[148].end |
5147.042 |
transcript.whisperx[148].text |
第1期財政、內政、經濟及文化、交通、社會福利及全民共享經濟成果特別預算 |
transcript.whisperx[149].start |
5161.058 |
transcript.whisperx[149].end |
5188.072 |
transcript.whisperx[149].text |
第一期只針對賴皮老合法第二期才有金瓜石缺糞分兩階段不是因為金瓜石糾糞的土地使用內容太複雜了它有民宿還有旅館但是賴皮老就沒有理由啊不是它是純住宅啊現在這些礦區的這部分我們當然針對是純住宅的部分先來處理因為金瓜石糾糞還有旅館它背後就涉及建館消防等等的問題 |
transcript.whisperx[150].start |
5190.393 |
transcript.whisperx[150].end |
5191.757 |
transcript.whisperx[150].text |
這個可能要最後再疊圖才能做最後的確認。 |
transcript.whisperx[151].start |
5199.056 |
transcript.whisperx[151].end |
5220.647 |
transcript.whisperx[151].text |
我們都很清楚啊,你分兩階段,第一階段解套這個賴皮鳥的,第二個階段才解套這個,我覺得用的計畫又是原本想的很不好啦。我想跟我們報告,其實用這樣子的說法其實是很不公平啦。那也是民國77年礦泉廢了之後,地方政府跟主管機關沒有妥適處理該有的行政審判。那你那個部長當幾年了?市長當幾年了?快8年了。 |
transcript.whisperx[152].start |
5224.758 |
transcript.whisperx[152].end |
5224.778 |
transcript.whisperx[152].text |
委員長 |
transcript.whisperx[153].start |
5247.273 |
transcript.whisperx[153].end |
5258.394 |
transcript.whisperx[153].text |
東華大學這次受傷非常嚴重,零四零三,受損二十多億喔!結果學校還要它募款,只募到一億,到列比前都視訊上課, |
transcript.whisperx[154].start |
5261.114 |
transcript.whisperx[154].end |
5281.209 |
transcript.whisperx[154].text |
請問你啊對東華大學這裡面還有更那個的是到六月底之前的視訊上課而且考試還叫他們回來考試外籍學生從國外買機票回來然後實體考試住宿有問題學校校舍有問題結果叫考試實體考試市長你知道這台機嗎 |
transcript.whisperx[155].start |
5284.079 |
transcript.whisperx[155].end |
5311.226 |
transcript.whisperx[155].text |
跟委員報告齁,那個東華大學目前已經匡列17.6億,會分3年來協助...你為什麼分3年呢?剛才主計...副主計長就說按照他的講法就可以一次給了他錢,20億你給他分3年,要叫他自己募款,然後再分3年給他,給他先出錢喔?你叫東華大學先出錢喔?他怎麼沒有辦法出錢呢?跟委員報告是依照那個學校的工程規劃,那今年的第1期就會先下去。 |
transcript.whisperx[156].start |
5311.923 |
transcript.whisperx[156].end |
5325.248 |
transcript.whisperx[156].text |
不是,你們應該給他錢,不是他叫他先,以後再給他。跟委員報告,我們沒有說東華大學先然後再給他,我們本來就是...你們第一筆的錢什麼時候可以到? |
transcript.whisperx[157].start |
5327.852 |
transcript.whisperx[157].end |
5356.643 |
transcript.whisperx[157].text |
4億,我們第1期會有4億,然後今年就會下去。什麼時候?今年大概什麼時候?我們希望下個月移緩季節,我們就移下去。要趕快齁!還有,最後一個問題就是,全國中小學的校舍,因為這個零四零三啊,很多軍力,這個你們什麼時候開始做?有48校。目前48校大概3.1而已,那我們也是用3年還是?對,也是移緩季節。 |
transcript.whisperx[158].start |
5357.043 |
transcript.whisperx[158].end |
5380.172 |
transcript.whisperx[158].text |
是預算基礎有沒有今年?什麼時候開始做了?國中小的校舍啊?教室啊?宿舍等等啊?目前我們先移除五千多萬就先處理初步災損什麼時候開始了?什麼時候開始?已經下去了五千多萬幹嘛搞?整體會有3.1而已但五千多萬我們現在第一階段就先下去因為他們要先處理初步災損好 謝謝 |
transcript.whisperx[159].start |
5383.209 |
transcript.whisperx[159].end |
5383.389 |
transcript.whisperx[159].text |
陳彥博次長 |
transcript.whisperx[160].start |
5411.493 |
transcript.whisperx[160].end |
5420.118 |
transcript.whisperx[160].text |
市長早。市長,我們前瞻特別預算有一個改善停車問題的計畫,從106年提出以後原本是200億,後來109跟111年各修正了一次,這兩次修正經費從200億增加到260億,整個計畫準備要延長到114年,這是正確的嗎?是。 |
transcript.whisperx[161].start |
5435.027 |
transcript.whisperx[161].end |
5450.395 |
transcript.whisperx[161].text |
可見,我想我們全國各地停車的問題是很嚴重的,急需要我們大家來想辦法改善。次長請教您一下,您知不知道我們現在台灣的人口年增率第一名的是哪一個縣市?我想委員會這樣問我的話應該是桃園市。 |
transcript.whisperx[162].start |
5452.216 |
transcript.whisperx[162].end |
5474.955 |
transcript.whisperx[162].text |
你的猜測其實蠻正確的就是桃園市那其實因為我們從內政部的人口統計顯示我們的總人口數已經正式通過230萬這個大關了那同時到今年3月我們的人口數來到232萬也就是說你看一年之內我們就增加了3萬多人我也最近期的來看年增率全台第一 |
transcript.whisperx[163].start |
5475.615 |
transcript.whisperx[163].end |
5495.608 |
transcript.whisperx[163].text |
尤其我們從升格之後,同時有很多的重大建設在進行,所以吸引了很多的外來人口。包括我們不管機場捷運、鐵路地下化、綠線捷運等等,交通建設越來越好以後,勢必人口的入住率會越來越高。所以我們的停車改善的問題,就急需中央趕緊來協助我們。目前我們看到, |
transcript.whisperx[164].start |
5499.491 |
transcript.whisperx[164].end |
5509.196 |
transcript.whisperx[164].text |
我們所有的重大建設跟這個停車的問題息息相關特別今天本席在這裡要跟您討論的就是我們在桃園後站的廣伊停車場我想次長不會不知道這個計畫對不對因為這個計畫兩年前王國才部長跟本席我們在這個桃園做考察的時候就特別針對鐵路地下化我們桃園火車站的站體跟這廣伊地下停車場的這個設置我們來做了一個考察 |
transcript.whisperx[165].start |
5528.965 |
transcript.whisperx[165].end |
5555.93 |
transcript.whisperx[165].text |
這個廣義停車場現在有相當的急迫性我想必須跟次長來做說明因為呢這個停車場現在在捷運綠線的正軌道旁邊而已就在旁邊那配合我們河西市政府在116年我們整個這個綠線捷運的綠線的鐵路地下化那淺頓要開始開挖了那因為兩個相距相距的非常近如果我們軌道工程挖好之後我們才要再來做這個地下的這個停車場的地下室的工程 |
transcript.whisperx[166].start |
5557.291 |
transcript.whisperx[166].end |
5574.209 |
transcript.whisperx[166].text |
這個軌道它就會因為土壤密實跟這個壓力上浮對於我們綠線捷運的進度、品質、安全都會有很大很大的影響所以我們現在廣義停車場的設置有它的必要性同時我們的進程有它的急迫性那這個計畫我講到這裡次長您理解嗎 |
transcript.whisperx[167].start |
5580.935 |
transcript.whisperx[167].end |
5602.74 |
transcript.whisperx[167].text |
兩年前部長跟本席在討論做考察的時候部長親口承諾他既然有必要性也需要中央來協助所以在當時我們總預算7億那他當天承諾要來補助3.5億兩年後過去了完全沒有看到任何的補助下來這第一件事第二 |
transcript.whisperx[168].start |
5603.18 |
transcript.whisperx[168].end |
5621.517 |
transcript.whisperx[168].text |
大約在一個月前交通委員會我們辦考察再一次來到我們廣義這個停車場結果呢部長說沒有錢沒有預算沒有經費這到底是怎麼回答啊這樣我們桃園市政府以及我們桃園市的市民都非常的錯愕啊那當天呢他是說 |
transcript.whisperx[169].start |
5623.579 |
transcript.whisperx[169].end |
5634.752 |
transcript.whisperx[169].text |
有必要,這個庭場非常有必要,但現在沒有經費,4月底的時候再來做一次滾動式檢討喔。那不曉得市長,既然您剛剛一路都表達這個計畫你是知道,現在檢討到哪裡了? |
transcript.whisperx[170].start |
5637.871 |
transcript.whisperx[170].end |
5656.111 |
transcript.whisperx[170].text |
我跟委員報告一下,有關剛才委員提到的前瞻的停車場的預算從200億增加到…你只要回答我,現在我廣義這個停車場3.5億的預算現在是怎麼樣?有關這個停車場剛才特別提到說在交通委員考察的時候王部長所提到會滾動式的檢討 |
transcript.whisperx[171].start |
5657.432 |
transcript.whisperx[171].end |
5687.206 |
transcript.whisperx[171].text |
市長你不要浪費我時間一直重複我的問題當答案好不好我們現在到底我們的經費有沒有下來有沒有核定啊我們現在的正在做滾動的檢討檢討到哪裡了嗎其實現在是在公路局他們已經檢討的我的了解他們已經檢討盤點的差不多了近期差不多了什麼時候核定這個3.51的預算下來我想我們會相關的程序盡快讓它完備然後就盡快來做相關的核定 |
transcript.whisperx[172].start |
5687.366 |
transcript.whisperx[172].end |
5711.595 |
transcript.whisperx[172].text |
一個禮拜之內把這個計畫完備,然後把這3.5億的預算兩年前的承諾來兌現可以嗎?我想我們盡量朝這個方向,請公路局朝這個方向來做出來。好,謝謝市長,但是這件事情務必跟部長來做這個報告。那按照兩年前他的承諾跟今天您的答覆,我們希望一周內我們要看到廣義地下停車場3.5億中央的補助款到位。 |
transcript.whisperx[173].start |
5712.535 |
transcript.whisperx[173].end |
5730.249 |
transcript.whisperx[173].text |
接下來,我們要鐵路地下化,我想再花一點點時間。我們看到我們桃園的鐵路地下化,不管是土建標、基建標,都是嚴重的嚴大,還有很多的標都沒有出去。那我們看到,根據鐵道局最新的進度,我們預定的進度本來到現在應該要完成34.5%,但實際的進度只有30.8%日後。 |
transcript.whisperx[174].start |
5734.292 |
transcript.whisperx[174].end |
5746.519 |
transcript.whisperx[174].text |
但你不要以為只有落後這4%不算什麼桃園市現在正在重大建設非常多是交通黑暗期你每一個工程的落後都會嚴重影響一個城市的發展所以根據審計部112年我們看到我們的潛在預算的一個審查報告在我們鐵路地下化交通部鐵道局 |
transcript.whisperx[175].start |
5754.983 |
transcript.whisperx[175].end |
5757.706 |
transcript.whisperx[175].text |
中央政府疫後強化經濟及全民共享經濟成果特別預算 |
transcript.whisperx[176].start |
5775.563 |
transcript.whisperx[176].end |
5784.466 |
transcript.whisperx[176].text |
我們現在用錢的速度遠比工程的進度來得要快很多那現在又因為通貨膨脹我們供應經費上漲在25%現在我們鐵路地下化目前招標的情況平均溢價在122%這些狀況次長都知道對嗎? |
transcript.whisperx[177].start |
5795.08 |
transcript.whisperx[177].end |
5807.186 |
transcript.whisperx[177].text |
我們有掌握有掌握很好那更可怕的事情是我們整個鐵路地下化的總預算1048億竟然現在我們的進度只有30%結果花完了用慶了這是事實嗎 |
transcript.whisperx[178].start |
5810.228 |
transcript.whisperx[178].end |
5810.368 |
transcript.whisperx[178].text |
現在進度嚴重落後 |
transcript.whisperx[179].start |
5828.909 |
transcript.whisperx[179].end |
5851.141 |
transcript.whisperx[179].text |
完成率這麼低,然後我們的總預算花完了,所以上一次部長有承諾說,現在我們要重新來檢討這個計畫,那部長這個計畫什麼時候可以修正完畢,送到本席辦公室來?我想我們鐵道局大概會在6月多會把相關的計畫送到交通部來。6月中、6月15以前可以嗎? |
transcript.whisperx[180].start |
5852.603 |
transcript.whisperx[180].end |
5879.002 |
transcript.whisperx[180].text |
最後一點我們因為當初我們的總經費1048億桃園市政府在我們大家的努力以及當時的鄭文燦市長我們爭取到桃園市政府負擔25%現在延宕了而且大概還在追加800億左右我們要求我們還是付原來的25%不能夠把增加的預算增加我們桃園市政府跟桃園市民的負擔希望市長把本席的意見帶回去好嗎 |
transcript.whisperx[181].start |
5880.342 |
transcript.whisperx[181].end |
5880.943 |
transcript.whisperx[181].text |
交通部、內政部、農業部 |
transcript.whisperx[182].start |
5911.383 |
transcript.whisperx[182].end |
5935.974 |
transcript.whisperx[182].text |
內政部我先就叫交通部陳次是,我也好是這樣子我想剛剛要提到前瞻計畫裡頭的停車場的這個相關的預算當中會考慮到不同地區的人口數但是本席要適當的提醒您應該要就不同地區的這個交通載具的依賴的不同而有所不同的變化為什麼因為有些地方就是軌道運輸很興旺相對而言公路運輸比較 |
transcript.whisperx[183].start |
5936.994 |
transcript.whisperx[183].end |
5937.274 |
transcript.whisperx[183].text |
市長,對不對? |
transcript.whisperx[184].start |
5963.067 |
transcript.whisperx[184].end |
5963.668 |
transcript.whisperx[184].text |
市長會不會做調整? |
transcript.whisperx[185].start |
5983.063 |
transcript.whisperx[185].end |
5983.323 |
transcript.whisperx[185].text |
市長請花次 |
transcript.whisperx[186].start |
6005.326 |
transcript.whisperx[186].end |
6032.904 |
transcript.whisperx[186].text |
華智,你之前預言說房價會下跌可是最近又漲了耶2022年第4季到2023年的第4季漲幅增幅不到10%那最近今年第1季又破了10%我看你好像破功了應該是應該是嘛,你有承認嘛那你有沒有挫折感我們花了這麼多時間做5次的信用管制我們花了這麼多時間做修法的工作修了這麼多法結果還漲,你的看法是怎麼樣 |
transcript.whisperx[187].start |
6034.548 |
transcript.whisperx[187].end |
6060.787 |
transcript.whisperx[187].text |
確實啦當然這也涉及到因為這幾年國內的經濟狀況確實非常好資金的量能也夠那所以說當然站在內政部的立場我們其實管制面的部分我們能做的大概都盡量在做那目前看到的是資金面跟租稅面可能因為沒有太多的相對應的資質我跟你講資金面我再給你一個數字過去3年來我們的儲區每年增加3兆 |
transcript.whisperx[188].start |
6062.549 |
transcript.whisperx[188].end |
6075.789 |
transcript.whisperx[188].text |
往年一年挺多1.5兆,現在每年平均大概3.5兆,我跟您說明今年的第1季你知道增加多少嗎?增加1.5兆,一季等於過去的一年,看你會不會出事? |
transcript.whisperx[189].start |
6076.843 |
transcript.whisperx[189].end |
6093.442 |
transcript.whisperx[189].text |
所以說是不是相關的政策工具速度要稍微快一點之前規劃不足的地方我意思是說有幾個狀況第一個現在會帶動房價的科學園區的效應蠻大的這是第一個因為相對所得比較高第二個科學園區周遭的整個開發區不夠 |
transcript.whisperx[190].start |
6095.504 |
transcript.whisperx[190].end |
6112.303 |
transcript.whisperx[190].text |
第三個呢,過往我們提出的政策工具稍微偏晚了,就是公共設施、底廢地的部分、5%的部分。這5%的部分本席強烈建議你啊,不要等到蓋的時候再來找這5%啦,應該把它視為公共設施同步進行啦,先蓋,先蓋先贏啦。 |
transcript.whisperx[191].start |
6114.727 |
transcript.whisperx[191].end |
6129.563 |
transcript.whisperx[191].text |
沒有錯,現在其實所有的案子我們都已經先要求了,那也會先框...先框列,而且把它當公共設施,同步進行,先去,等到你後面的民間的這個開發商興建的時候,你要再去開社會住宅,有可能嗎? |
transcript.whisperx[192].start |
6130.657 |
transcript.whisperx[192].end |
6130.677 |
transcript.whisperx[192].text |
農業部長 |
transcript.whisperx[193].start |
6157.253 |
transcript.whisperx[193].end |
6183.885 |
transcript.whisperx[193].text |
市長,你文官歷練非常的久啦,我想就這個部分啦,那個之前那個中國說宣布文旦要進口,你有聽到那個中國那邊有任何的一個訊息來跟我們接觸嗎?沒有透過平台正式通知。都還沒有?目前沒收到。目前都還沒有?那如果是這樣的話,類似的這種水果養套殺的這種狀況,通常是依賴度越高的一個水果的話,那會視為標的可能性會比較大對不對? |
transcript.whisperx[194].start |
6186.298 |
transcript.whisperx[194].end |
6205.499 |
transcript.whisperx[194].text |
是這樣子,但是我講我們必須就臺灣的農產品盡量找其他的穩定的國際市場。對,幾年來農業部的努力已經從過去的依賴度的20幾%當中已經降到約莫10%啦,我大概有知道那個數據啦。但是我要請教你呢,你有沒有預測過接下來它會用哪一個水果來做操作的工具,有沒有? |
transcript.whisperx[195].start |
6206.209 |
transcript.whisperx[195].end |
6221.935 |
transcript.whisperx[195].text |
我想我們不做任何預測。不做任何預測?我們要幫我們的農產品。你要做預防啊!防範預染啊!要預防的方式就是我們不斷的替我們的農產品做…你現在就要想一想哪些水果物品依賴度比較高或農漁產品依賴度比較高了,你現在手頭有沒有想到哪一個? |
transcript.whisperx[196].start |
6223.188 |
transcript.whisperx[196].end |
6233.014 |
transcript.whisperx[196].text |
我覺得所有的都有可能,沒有啦,他要跟你談啊,不然在管你哪一行啊。所以我們其實不做這樣,但是替每一項產品都做最好的準備。因為不同世紀都有產品啊,沒有錯啊。那鳳梨有沒有舊啊?你覺得鳳梨有沒有鳳梨舊的回答? |
transcript.whisperx[197].start |
6243.761 |
transcript.whisperx[197].end |
6262.569 |
transcript.whisperx[197].text |
當然不依靠他說我們為什麼日本及其他市場都有鳳梨在出去,當然有做多元化的,不是只有鮮果。我心裡還是要跟你講,他每一項都有可能,你每一個Priority你還是要準備一下啦,哪一個可能性比較大,我們準備開來可嗎?不要每次的時候我們要賣這些水果,賣到來不及,吃太慢了。 |
transcript.whisperx[198].start |
6263.729 |
transcript.whisperx[198].end |
6265.531 |
transcript.whisperx[198].text |
多元方案,不一定是新的。 |
transcript.whisperx[199].start |
6279.326 |
transcript.whisperx[199].end |
6299.701 |
transcript.whisperx[199].text |
響鐘 |
transcript.whisperx[200].start |
6300.67 |
transcript.whisperx[200].end |
6318.602 |
transcript.whisperx[200].text |
其實在台南的整個住宿型的資源部件也都持續在進行中,那社區式的資源部件其實應該是也達到快百分之百了。快百分之百了嗎?我們再思考一下好不好,因為台南的地蠻多的,台唐的地也蠻多的。 |
transcript.whisperx[201].start |
6320.282 |
transcript.whisperx[201].end |
6322.683 |
transcript.whisperx[201].text |
接著我們請侯孟凱委員質詢。 |
transcript.whisperx[202].start |
6353.804 |
transcript.whisperx[202].end |
6356.828 |
transcript.whisperx[202].text |
主席,麻煩請交通部次長及內政部次長。 |
transcript.whisperx[203].start |
6368.035 |
transcript.whisperx[203].end |
6384.958 |
transcript.whisperx[203].text |
我想今天各委員為地方發聲天經地義,但我們把錢花在刀口上。那我先請教一下在今天特別有講到就是疫後的觀光的部分。疫後觀光我覺得交通部這也是重中之重,這也是我們編列預算很希望能夠達到的。 |
transcript.whisperx[204].start |
6386.812 |
transcript.whisperx[204].end |
6413.497 |
transcript.whisperx[204].text |
去年我們達成600萬的觀光客但全世界其實已經高達87%是恢復到以前的一個情況那本席特別有關注到在這一次來講疫後有兩個國家的觀光客其實消退的非常大市長知道哪兩個國家嗎?亞洲啦日本跟韓國日本的觀光客消減了6成韓國的觀光客消減了4成 |
transcript.whisperx[205].start |
6416.571 |
transcript.whisperx[205].end |
6434.349 |
transcript.whisperx[205].text |
當然中國大陸那是因為這個政策因素我想我們先今天就就教國際觀光客的部分我覺得日本跟韓國觀光客過去我們來往的這個頻率其實也互動也蠻頻繁的但是日本削減了6成韓國削減了4成我覺得這是一個很大的一個警訊 |
transcript.whisperx[206].start |
6435.45 |
transcript.whisperx[206].end |
6464.236 |
transcript.whisperx[206].text |
有沒有掌握說那到底現在我們這些預算我們要持續的投入甚至今天要解凍的一個預算我們要再怎麼樣投入能夠針對韓國日本能夠把吸引這些優質的觀光客能夠回來本席的新北市不管是我們淡水不管是我們相關的地方好多韓國日本的觀光客都很喜歡啊但現在大家商圈都講是說就是還沒有回復到以前疫情前的榮景的一半來簡單說明一下我想跟委員報告一下 |
transcript.whisperx[207].start |
6464.656 |
transcript.whisperx[207].end |
6467.897 |
transcript.whisperx[207].text |
市長你講的這都是例行,我現在問你比較具體的做法,我們疫後的預算 |
transcript.whisperx[208].start |
6483.303 |
transcript.whisperx[208].end |
6511.117 |
transcript.whisperx[208].text |
今天要解凍,今天要討論,那預算花了,那我們到底要怎麼樣能夠具體針對這部分然後來吸引這些觀光客過來呢?其實在這一個預算裡頭其實有一個很重要的是自由行的部分來加碼五千元的這一部分那這一部分從去年的這個實施的經驗我們看來對於日本跟韓國的觀光客很具吸引力所以我們會持續在這邊來繼續至少我覺得這樣子真的講蠻籠統的啦 |
transcript.whisperx[209].start |
6512.958 |
transcript.whisperx[209].end |
6525.973 |
transcript.whisperx[209].text |
會後你再讓本席知道一下說你們比較具體的做法而且真的是希望是能夠增加這一些自由型然後優質的遊客能夠來到我們台灣這是為我們台灣的整個觀光市場那另外一部分會請教一下交通的輕軌道建設 |
transcript.whisperx[210].start |
6527.875 |
transcript.whisperx[210].end |
6544.66 |
transcript.whisperx[210].text |
本期的選舉裡面現在有幾條輕軌都是已經送了可行性評估包括說巴黎輕軌因為本來希望是淡江大橋2025年能夠完工的時候巴黎輕軌一定的實施但目前沒有辦法可是可行性評估也已經送到了交通部太阪輕軌 |
transcript.whisperx[211].start |
6546.519 |
transcript.whisperx[211].end |
6567.355 |
transcript.whisperx[211].text |
行政院陳建源院長已經核定了第一期叫做五泰輕軌,但是那是可行性評估,可是我們更希望是能夠後發先至,泰山到板橋的泰板輕軌能夠連接萬大線,能夠連接板南線,能夠連接台鐵、高鐵,其實對於整個地方的民眾更加的需要。請教這兩個現在進度勒,因為據我所知都已經送進去應該快要半年囉。 |
transcript.whisperx[212].start |
6568.355 |
transcript.whisperx[212].end |
6586.683 |
transcript.whisperx[212].text |
對,我跟委員報告一下,先講巴黎輕軌好了。巴黎輕軌的部分,當然新北市有做一些相關的研究,我們也把相關的計畫報到行政院去了。那行政院大概有合乎,就是請新北市政府再做一些檢討以後再報。 |
transcript.whisperx[213].start |
6588.224 |
transcript.whisperx[213].end |
6613.785 |
transcript.whisperx[213].text |
已經報一報再報?不能每一次報都是你要報一次問題講清楚有那麼難嗎?這個巴黎輕軌也已經是可行性評估就我了解送到我們鐵道局鐵道局也已經通過之後才從交通部送往行政院所以照理講專業的部分可行性載運量以及後續的工程難度交通部已經都做專業的審查了 |
transcript.whisperx[214].start |
6615.186 |
transcript.whisperx[214].end |
6643.202 |
transcript.whisperx[214].text |
我跟委員報告其實這個巴黎輕軌其實他還要更重要是到了淡水的這一部分所以有一個淡海輕軌的這個串聯的營運的方式路線這一部分我們希望請新北市政府再去釐清一下所以這一部分也就是為什麼行政院在核複的公文裡頭特別提到這一段然後因為有這樣的一個因素所以相關的運量的預測也希望他再做精準的一個分析所以相關運量跟串聯 |
transcript.whisperx[215].start |
6644.602 |
transcript.whisperx[215].end |
6661.072 |
transcript.whisperx[215].text |
請榮許,因為這兩個不是我們在地人,不過請榮許本席糾正一下,是淡海輕軌二期要連接到巴黎過來,是延伸到巴黎,並不是巴黎這邊做過來,這是不一樣的概念,不過不管怎麼樣都是連接兩岸。 |
transcript.whisperx[216].start |
6662.173 |
transcript.whisperx[216].end |
6689.852 |
transcript.whisperx[216].text |
本席是不是能夠再請因為次長這個部分特別強調是新北市政府其實這兩個計畫都已經送入交通部並且本席了解是往行政院送是行政院現在在打回票那中間到底是什麼問題其實也應該要一次釐清讓新北市當然應該要回應要回應但是一次釐清不要來來回回兩三次今天講ABC下一次再講DCE那永遠沒有辦法聚焦想做就我們就應該共同推動 |
transcript.whisperx[217].start |
6690.452 |
transcript.whisperx[217].end |
6690.572 |
transcript.whisperx[217].text |
法定人數不足 |
transcript.whisperx[218].start |
6705.677 |
transcript.whisperx[218].end |
6726.136 |
transcript.whisperx[218].text |
白市長,04、03地震,那我們看到當然是花蓮,鎮央在花蓮,但實際上新北、台北等幾個都會區也都有受損。而且有些人,我這個不是說發生在哪裡都不好,但有些人真的講是說還好這一次不是發生在人口比較密集的地方,鎮央啦,不然可能那個後果更嚴重。 |
transcript.whisperx[219].start |
6727.117 |
transcript.whisperx[219].end |
6739.467 |
transcript.whisperx[219].text |
我們現在要做的就是防範未來,本席到目前做了解是說新北市在這次04、03完之後才增加了12處的建物是紅單跟黃單,分別是5個紅單跟7個黃單,才那麼少嗎? |
transcript.whisperx[220].start |
6744.891 |
transcript.whisperx[220].end |
6769.472 |
transcript.whisperx[220].text |
他們會陸續報,其實像新竹縣也是希望說我們給他到5月中陸陸續去報進來,我們都接受。對,那但是現在本席更要問的問題啊,就是有很多人他的一些建築可能第一相對老舊,其實已經三四十年四五十年的房子,第二他也沒有管委會,就是以前的老公寓,那你如果說要做建物的檢定或說這個建物到底是安不安全,有規列,但他可能他也不一定, |
transcript.whisperx[221].start |
6770.333 |
transcript.whisperx[221].end |
6770.794 |
transcript.whisperx[221].text |
我們都會補助啊,我們都會補助。 |
transcript.whisperx[222].start |
6787.25 |
transcript.whisperx[222].end |
6815.256 |
transcript.whisperx[222].text |
但現在補助的比例呢?其實我們是初評是幾乎百分百補助你現在匡列了多少預算來做這個補助?那個好幾年了好幾年了,不是只有現在好幾年,但現在重點在於是這次04、03之後我相信一定有這個需求我們鼓勵大家趕快來如果說你告訴大家的話,說不定大家全都來那那個時候你的預算原額夠不夠?其實因為是基金預算,所以說不夠我們大概就是抄併決來處理就可以你匡列多少預算? |
transcript.whisperx[223].start |
6819.659 |
transcript.whisperx[223].end |
6834.492 |
transcript.whisperx[223].text |
這個其實就是重點啦本席想強調的是說為什麼很多外界在質疑講是說哇這個有什麼04、03地震的這個特別條例本席有提到一個觀念啦這一次真的是天佑台灣天佑中華民國一直都是天佑台灣 |
transcript.whisperx[224].start |
6835.373 |
transcript.whisperx[224].end |
6853.853 |
transcript.whisperx[224].text |
所以說在這個鎮央如果沒有發生那個人口密集的地方可是我們真的要防範未來那新北市已經我相信台南我相信高雄好多地方的縣市也都有超過40年50年以上的房子之前也有一個數據全台灣超過30年以上的房子佔一半 |
transcript.whisperx[225].start |
6854.83 |
transcript.whisperx[225].end |
6880.725 |
transcript.whisperx[225].text |
所以如果說我們能夠趁現在這個時候還沒有在下一次天災我們不知道什麼時候下一次天災再來但是我們應該要去做這樣的一個建物總體檢那建物總體檢的費用到底夠不夠以及我們能不能大規模做做完之後後續能夠怎麼樣來重建跟補助我覺得這才是關鍵所以我們一起努力我們鼓勵全國有需要的民眾都趕快來申請謝謝好 謝謝侯孟楷委員的質詢接下來我們請吳佩儀委員質詢 |
transcript.whisperx[226].start |
6894.121 |
transcript.whisperx[226].end |
6894.281 |
transcript.whisperx[226].text |
內政部次長 |
transcript.whisperx[227].start |
6909.381 |
transcript.whisperx[227].end |
6927.351 |
transcript.whisperx[227].text |
市長,剛前面我也有提到說臺灣處地震帶全國性的建築總體檢重要。但我要說啊,地震已經發生之後,但是呢,地方政府對於有破損防護的檢測也很重要。為什麼呢?因為我們中央剛推出了我們地震後的震災專案。那我現在遇到個案的問題是這次臺北市也有災情,就在我們南機場的公路。 |
transcript.whisperx[228].start |
6931.613 |
transcript.whisperx[228].end |
6934.494 |
transcript.whisperx[228].text |
我們現在看到中央訂定辦法裡面針對紅黃單的受災戶我們有生活補助那另外對於房屋破損的受災戶我們也有租金補貼因為我們讓他安置有一個期間有地方可以住但是我們這個社區裡面當時市政府他來這個計事公會來檢測只檢測了幾條巷子 |
transcript.whisperx[229].start |
6954.301 |
transcript.whisperx[229].end |
6982.917 |
transcript.whisperx[229].text |
現在後面有幾條巷子還沒有檢測所以呢這個專案上路在申請方面可能會有一些爭議現在好多民眾已經在問了說我家的房子也破損很嚴重那市政府沒有來檢測我現在要怎麼來申請這個受地震所影響的這個受災補助我希望我們內政部可以去了解一下這個全國在有發生災情的地方縣市目前這個相關的情況其實還是可以請他們先直接找其實祭司去檢去看那如果說貸政出評的話 |
transcript.whisperx[230].start |
6983.897 |
transcript.whisperx[230].end |
7003.203 |
transcript.whisperx[230].text |
每戶有15000塊,我們基本上是內政部會補助的。是,這個地方政府要主動來協助民眾檢測,尤其是外顯有明顯的破損,那不然說民眾自己還要來想辦法求助,所以我希望我們內政部去瞭解一下這個地方的狀況。好,我們跟台北市政府也瞭解一下,我們跟市府瞭解一下。好,那接下來我要很關心的是我們 |
transcript.whisperx[231].start |
7004.284 |
transcript.whisperx[231].end |
7016.838 |
transcript.whisperx[231].text |
對,我們內政部在林口市大運有一座第一個是中央到地方參與的社宅。那前陣子在我們空總有一個公共藝術成果的展出,我不知道次長你有沒有去看?有。那我是去看了,看了我覺得非常的感動。確實。 |
transcript.whisperx[232].start |
7018.88 |
transcript.whisperx[232].end |
7046.38 |
transcript.whisperx[232].text |
我自己是在台北市的中正萬華區尤其是在萬華我發現社區的共融社區的互動是非常重要的那林口社宅的公共藝術我們看到其實就打破了過去監察院有對我們的公共藝術有一個糾正的報告說很多公共藝術都是未辦而辦甚至都大量的直接找廠商代辦去了看不到這個公共藝術的社會成果但是在我們林口社宅裡面的公共藝術它很多是社區型的行動計畫 |
transcript.whisperx[233].start |
7047.801 |
transcript.whisperx[233].end |
7067.595 |
transcript.whisperx[233].text |
甚至我們看到弱勢戶的孩子跟長者他們自主來組成社團自己去舉辦了更多延續性的活動我覺得這是非常好的社區成果生活美學才是核心沒有錯甚至還有以適應內容的產出少了郭子乾、郭歌來演出真正把我家富貴發號電視劇這也是我們社宅的公共藝術成果 |
transcript.whisperx[234].start |
7071.337 |
transcript.whisperx[234].end |
7093.266 |
transcript.whisperx[234].text |
我覺得只辦一個展覽其實不太夠要大肆的去宣傳最重要的是我希望它不是昙花一現因為我的選區接下來馬上就有這個萬華安居也是我們住宿中心的社宅即將要啟用了接下來有林鄉好市那在我們南機場的對面國防部9號基地我們也感謝內政部合併了即將來規劃社宅也謝謝委員支持 |
transcript.whisperx[235].start |
7095.367 |
transcript.whisperx[235].end |
7110.224 |
transcript.whisperx[235].text |
主席,我希望我們的公共藝術的計畫能夠有一個參考,然後持續性的來延續。我們現在已經組織了更專業的團隊,我們自己內部也有,然後跟外部的委員,其實一定會有很棒的公共藝術計畫會提出來。 |
transcript.whisperx[236].start |
7111.525 |
transcript.whisperx[236].end |
7133.902 |
transcript.whisperx[236].text |
是,我們中央的社宅的社區融合我覺得我們要去做一個這個表彰那除了社區以外社宅很重要臺北市民最關心的就是社宅的租金的定價的公式因為過去在臺北市我們曾經發生過有天價租金的社宅那就是在這個地方政府 |
transcript.whisperx[237].start |
7134.462 |
transcript.whisperx[237].end |
7161.358 |
transcript.whisperx[237].text |
各個縣市之間對於社宅租金的訂定公式竟然不同。比方說臺北市一度要把地價稅、房屋稅都要去納入這個公式裡面其中一部分。那為什麼要納入公司?因為他要賺自償率嘛。所以對於社宅租金的定價有過很多的討論以及辯論。那未來中央的社宅、中央社宅開始在臺北市好幾樣要啟用然後甚至在規劃。我們對於租金的定價有沒有什麼樣的原則? |
transcript.whisperx[238].start |
7162.699 |
transcript.whisperx[238].end |
7184.702 |
transcript.whisperx[238].text |
各位報告,其實當然這一題經過了很多的討論,那我們大概發現到說,如果像台北和桃園目前純然以所得稅申報的資料來當作租金定價的基礎,其實確實有蠻大的副作用已經陸陸續續產生出來。所以我們真的很誠懇地跟地方政府在溝通,我們建立一套, |
transcript.whisperx[239].start |
7185.302 |
transcript.whisperx[239].end |
7210.164 |
transcript.whisperx[239].text |
可以讓社宅制度長治久安,也讓民眾可負擔,均衡這個的一個方案。那實質上其實全國多數縣市是認同,那當然還在持續溝通當中。我相信啊,社宅租金的計算的標準應該是一國一制才是對的啦。那所以說這部分大家再多討論,我相信是有solution的啦。 |
transcript.whisperx[240].start |
7210.464 |
transcript.whisperx[240].end |
7227.558 |
transcript.whisperx[240].text |
市長我必須要特別在這個時候提醒你,就是因為我認為我們中央設宅的租金啊,你一旦定出來了,它有定毛的效果。是。你有可能幫忙抑制設宅的租金,你如果沒有試算好,也有可能不小心出現了漲價。 |
transcript.whisperx[241].start |
7229.059 |
transcript.whisperx[241].end |
7252.004 |
transcript.whisperx[241].text |
所以說我們要有原則要有公式也要有試算當然當然因為其實有些現階段收費的問題其實我剛講很多副作務已經跑出來後續的收尾處理其實困難度蠻高的那當然這部分我們再繼續溝通請務必要進行周詳的試算那我們希望社宅的租金訂定出來是確實達到我們要照顧弱勢的原則 |
transcript.whisperx[242].start |
7252.924 |
transcript.whisperx[242].end |
7259.391 |
transcript.whisperx[242].text |
本則上當然是可負擔,可負擔,但是因地制宜還是要不同。好,謝謝。我要跟主席見30秒。我請這個速發部次長。理事請。 |
transcript.whisperx[243].start |
7268.908 |
transcript.whisperx[243].end |
7292.605 |
transcript.whisperx[243].text |
市長在我們前瞻的凍結案裡面有一項是我們通訊網路數位韌性計畫那因為我們事務發布對衛星的發展這有非常的關切當時這個凍結的理由其中一項是台灣的衛星通訊有憂慮由特定業者有政治傾向導致國家安全受影響我們現在的這個衛星計畫已經有跟兩家業者進行合作了對不對我們有沒有排除這個疑慮 |
transcript.whisperx[244].start |
7294.126 |
transcript.whisperx[244].end |
7319.469 |
transcript.whisperx[244].text |
跟委員報告,現在目前我們的這個所謂的非同步衛星的部分已經有跟兩家國外的業者合作,那這個兩家業者我們都有確認過目前沒有關的。是哪兩家?一個是SES一個是OneWeb。好,所以不會有特定政治傾向國家安全受影響的?OneWeb這家公司有英國政府的特別股權。是,那這一次呢這個跟OneWeb公司的合作在我們花蓮鎮在裡面是不是也有所運用? |
transcript.whisperx[245].start |
7320.211 |
transcript.whisperx[245].end |
7347.979 |
transcript.whisperx[245].text |
是,謝委員的隨詢,我們這一次是特別在花蓮政戰的時候,我們第一時間就請我們的電信技術中心啟動我們的網路應變車,然後接下來我們第二天也感謝國軍跟內政部的合作,幫我們利用直升機幫我們把這個可移動式的OneWeb的接收器都被遇到天下,直接啟用。最後要提醒的就是,我想我們今天已經達到凍結的條件,但是呢,解凍的條件,但是我們希望要持續來投注預算,我們所謂網路的韌性計畫非常的重要,我們希望要持續的來進行。 |
transcript.whisperx[246].start |
7349.179 |
transcript.whisperx[246].end |
7354.143 |
transcript.whisperx[246].text |
謝謝委員,我們繼續努力。好,謝謝吳佩玲的諮詢。緊接我們請葛如君委員諮詢。謝謝主席。有請交通部、教育部、數位部、次長以及國科會副主委。謝謝。點名到部會的次長跟副主委,請出列。 |
transcript.whisperx[247].start |
7380.479 |
transcript.whisperx[247].end |
7401.774 |
transcript.whisperx[247].text |
四位次長好,最近有一則新聞在社群平台引起了許多的阿宅跟民眾討論。有一款可以提前通報的地震APP,因為通報率很高,引起民眾的注意,一週內被下載了30萬次。APP爆紅以後,媒體追蹤發現是17歲的高中生,被稱讚是一人贏過國家隊。 |
transcript.whisperx[248].start |
7403.255 |
transcript.whisperx[248].end |
7428.38 |
transcript.whisperx[248].text |
雖然我個人並不一定同意這種過度天才化的描述方式但是同學有心能做這樣的東西應該是一個美談但是因為剛好漏了未經授權使用氣象署的數據有違反氣象法的疑慮最後不斷地進行道歉在APP道歉一次在媒體向全國的民眾道歉想請教一下交通部的陳次長氣象法第18條確實有這樣的規定 |
transcript.whisperx[249].start |
7431.081 |
transcript.whisperx[249].end |
7456.293 |
transcript.whisperx[249].text |
但是那已經都執行很久了,近半年有沒有查到這些未經通報、未經授權引用數據的案件,有嗎?我跟委員報告,這一部分我手頭上現在是沒有資料。希望去查一下,不要說是林同學出來了,我們就來調查林同學。那他這麼長的時間,我們應該要早就發現了,不然的話民眾可能會合理懷疑啊,西巷署是不是呆乎職守啊? |
transcript.whisperx[250].start |
7456.513 |
transcript.whisperx[250].end |
7474.206 |
transcript.whisperx[250].text |
這個APP已經上架快一年的時間,都沒有查到,那媒體來報導了以後呢,一人贏過國家隊,腦兇,然後來調查,我覺得這,我們相信不是,但希望證明給民眾看。同時我們也來看一下氣象署官方的地震預報的APP,裡面的平均評分只有2顆星,滿分是5顆。 |
transcript.whisperx[251].start |
7476.408 |
transcript.whisperx[251].end |
7493.385 |
transcript.whisperx[251].text |
民眾就說奇怪了為什麼我們用民間做出來的地震到達前就會示警中央做出來卻有時候不行民眾反應有時候會甚至晚3到5分鐘這些負面的評價不知道交通部有沒有看到難道官方開發出來的APP不夠好用 |
transcript.whisperx[252].start |
7494.005 |
transcript.whisperx[252].end |
7519.208 |
transcript.whisperx[252].text |
有人做出更好用的那就解決這個更好用的人那就變成官方的最好用我相信不是所以我們想要來提倡一下公私協力我相信我們行政院各部份應該都是一個團隊那個數位部次長在這我們幫你們廣告一下這就是近期你們宣傳的公共城市平台 code.gov.tw為什麼我會這樣講呢是因為我非常認同KNY |
transcript.whisperx[253].start |
7519.989 |
transcript.whisperx[253].end |
7538.362 |
transcript.whisperx[253].text |
台灣天氣地震速報APP的開發者陳坤柱先生的觀點,說市場應該直接面對第一線民眾,尤其這樣個人化的服務可能跟高階技術的研發系統都非常有關,對此一定可能是沒有民間單位擅長,因此公私協力非常重要。 |
transcript.whisperx[254].start |
7539.022 |
transcript.whisperx[254].end |
7556.34 |
transcript.whisperx[254].text |
所以五花八門的這些東西又要耗費巨資,我們是不是來響應一下,希望可以響應這些open data,public code,我只是在幫你廣告,不用擔心。希望用這種方式,可能不只是都沒有bug,還可以變得更加的好用。那請交通部陳次長請回。 |
transcript.whisperx[255].start |
7558.198 |
transcript.whisperx[255].end |
7583.545 |
transcript.whisperx[255].text |
希望可以響應一下好不好不會交流那現在呢同時也是英雄出少年的時代我們來看一下2018年呢就有一個美國的女孩子高中生聽到網路霸凌的消息做了一個叫Rethink的一個鍵盤APP她們自己偵測不當字眼提醒使用者多想三秒去解希望能夠降低這些網路霸凌的問題這個APP這個高中生的開發者人生發生轉變不僅開了公司上電視的節目 |
transcript.whisperx[256].start |
7587.186 |
transcript.whisperx[256].end |
7613.382 |
transcript.whisperx[256].text |
還在節目上面受到投資人入股20%其他例子我就不用講了很多英雄出少年名人高中的高三生這個教育部次長知道這個例子嗎有沒有給予鼓勵有沒有嘉獎他有沒有讓這個變成一個好的範例這我們回去再確認世界的比賽那我們希望這都是好的事情但是我們到底有沒有一些相關的資助想請教一下三位次長 |
transcript.whisperx[257].start |
7614.505 |
transcript.whisperx[257].end |
7628.732 |
transcript.whisperx[257].text |
假設有一位高中生要投入科技創新的研究,比如說開發一款APP,未來可能來申請大學入學,請教一下教育部、數位部以及國會會,目前是否有關的研究計畫補助,可以申請有還是沒有? |
transcript.whisperx[258].start |
7630.714 |
transcript.whisperx[258].end |
7631.234 |
transcript.whisperx[258].text |
對此希望能夠相關 |
transcript.whisperx[259].start |
7645.333 |
transcript.whisperx[259].end |
7665.368 |
transcript.whisperx[259].text |
但到底有還是沒有,一個月內將研議結果以書面提供為本席,同時也建請教育部去設立一個窗口,協助有興趣進行科研創新的高中職學生,提供他們包含政府資料授權的使用方法,以相關的政策跟法規面向的諮詢,並將研議結果於一個月內以書面提供為本席。 |
transcript.whisperx[260].start |
7666.406 |
transcript.whisperx[260].end |
7670.428 |
transcript.whisperx[260].text |
副主委,今年1月9日,全國人民都受到一則非常轟動的國家級警報。陳建仁院長甚至在當時質詢說:「哎喲,飛彈來了!」結果改口說是看錯了。 |
transcript.whisperx[261].start |
7686.616 |
transcript.whisperx[261].end |
7704.095 |
transcript.whisperx[261].text |
這個我們在防災中心的網站上面查詢,到今天為止,國防部依然還是只有非但相關的防空警報。請教一下副主委,為什麼當時這個與範本不符的訊息,可以從災防訊息廣播平台CPE發送出去,難道這之前沒有檢核機制嗎? |
transcript.whisperx[262].start |
7705.826 |
transcript.whisperx[262].end |
7730.187 |
transcript.whisperx[262].text |
跟委員報告,那這個是主管機關,那我們災防中心是一個平台,那主管機關他的範本是原來寫好的。所以他可以不用檢核就送出去了是不是?他們內部是有檢核的。所以他們檢核,你們這裡不檢核嗎?我來看一下,事實上你們在平台測試唯一運作作業裡面的第8項裡面,就有說知識通安全及訊息內容檢核的檢測作業。 |
transcript.whisperx[263].start |
7731.788 |
transcript.whisperx[263].end |
7752.473 |
transcript.whisperx[263].text |
測試的時候要檢核,發送出去的時候不用嗎?後來國防部雖然更正了訊息寫launch vehicle,但是這兩則訊息,不管這一則還是那一則,不管是飛彈還是launch vehicle,全部都不在範本的樣態裡面。其次,我們也看到告警的資料裡面,也完全沒有這方面的,就是說, |
transcript.whisperx[264].start |
7753.153 |
transcript.whisperx[264].end |
7774.429 |
transcript.whisperx[264].text |
我完全沒有看到關於MISO訊息發布的記錄我們在民生市井公開資料平台的訊息1月9號則是空的啦1月9號這一天的這個訊息竟然在各個平台有三種不同的樣態是不是要篡改歷史的記錄啊還是到底是什麼原因內部的溝通流程到底是什麼 |
transcript.whisperx[265].start |
7774.969 |
transcript.whisperx[265].end |
7799.972 |
transcript.whisperx[265].text |
有沒有公文往來的記錄到底發生了什麼樣的事情我們去考察的時候跟我們說歷史資料可以下載結果我們真的去用的時候只能下載7天我想要建議一下公開的這種特殊的情況首先應該要相互對比要檢核再來呢如果有特殊的狀況考核考量的過程當中的溝通記錄完整的報告都應該要提供出來 |
transcript.whisperx[266].start |
7800.532 |
transcript.whisperx[266].end |
7827.411 |
transcript.whisperx[266].text |
同時也應該依循程序建立新的訊息範本所以在此本席請國科會針對1月9號國防部警報事件的完整時間軸歷史資料中間有沒有會議記錄公文聯絡了誰、什麼樣的判斷討論程序依據等等請在因為這已經發生過請在三天內提供本席完整報告本席以上的建議請一個月內研議改善作為以後提供會便行 |
transcript.whisperx[267].start |
7827.751 |
transcript.whisperx[267].end |
7836.015 |
transcript.whisperx[267].text |
同時剛剛這些樣態都要拜託整理一下,可以嗎?好,可以。可以。好,謝謝葛如今委員的諮詢。緊接著請王洪瑋委員諮詢。好,謝謝主席。我請農業部。農業部,督此。 |
transcript.whisperx[268].start |
7858.717 |
transcript.whisperx[268].end |
7883.121 |
transcript.whisperx[268].text |
委員好、次長好。在我們審計部在檢討整個的前瞻期的預算裡面,曾經發現我們的前瞻預算的比例的分配出現了大小眼。很多的縣市,它所拿到整體的前瞻預算的金額事實上是有非常非常大的差距。 |
transcript.whisperx[269].start |
7883.661 |
transcript.whisperx[269].end |
7900.819 |
transcript.whisperx[269].text |
譬如說像台北市跟高雄市的差距就將近十倍之多。好那現在我想請問一下在治水的部分因為過去台北市是一塊錢都沒有拿到但是在去年底的時候 |
transcript.whisperx[270].start |
7901.48 |
transcript.whisperx[270].end |
7920.648 |
transcript.whisperx[270].text |
台北市的翡翠水庫管理局曾經以前瞻基礎建設的特別預算水與環境向下向我們農業部申請了有關於水與環境的預算,而且預算的金額極少,但是最後好像是被打回票。 |
transcript.whisperx[271].start |
7921.468 |
transcript.whisperx[271].end |
7938.828 |
transcript.whisperx[271].text |
我不曉得次長知道這事情嗎?我不清楚你不清楚的話我希望次長能夠回去就是針對我們臺北市翡翠水庫管理局其實這個金額非常少只有700萬可是呢仍然以所謂的跟這個 |
transcript.whisperx[272].start |
7940.35 |
transcript.whisperx[272].end |
7940.37 |
transcript.whisperx[272].text |
請辭次 |
transcript.whisperx[273].start |
7974.684 |
transcript.whisperx[273].end |
7984.395 |
transcript.whisperx[273].text |
市長,在你們的報告裡面,你們說觀光署為了加速擴大吸引國際觀光客,編列了53億。 |
transcript.whisperx[274].start |
7988.206 |
transcript.whisperx[274].end |
8012.017 |
transcript.whisperx[274].text |
而且呢,說到113年3月底,累計的分配數是28.84億,執行率百分之百。而且主要是辦理什麼呢?辦理這個抽獎。然後針對242萬名的旅客都可以參加抽獎。請問一下,我們現在這個抽獎的計畫還在執行中嗎? |
transcript.whisperx[275].start |
8015.64 |
transcript.whisperx[275].end |
8028.695 |
transcript.whisperx[275].text |
目前還在執行中還在執行中 那個抽獎是多少錢?五千塊嗎?五千元 對就是只要來台的國際觀光客、旅客都可以去抽獎 中獎率是不是很高啊?中獎率我沒有算過 |
transcript.whisperx[276].start |
8033.91 |
transcript.whisperx[276].end |
8046.154 |
transcript.whisperx[276].text |
目前大概應該是講有265萬人登記目前有39萬人是中獎265萬人登記39萬人中獎所以這個比例也蠻高的請問一下你們光是這個抽獎花在這個國際觀光客旅客的這個金額有多少?你們都要爭取預算解凍你們這個是被凍結的啊 |
transcript.whisperx[277].start |
8065.702 |
transcript.whisperx[277].end |
8067.424 |
transcript.whisperx[277].text |
所以光是花債給國際觀光旅客,給他們抽獎,台灣其實蠻大方的,就有25億之多,是吧? |
transcript.whisperx[278].start |
8084.035 |
transcript.whisperx[278].end |
8094.56 |
transcript.whisperx[278].text |
時間暫停主席時間暫停這個是他們來解凍的在他們的報告裡面然後上來還在一問三不知你們要預算解凍嗎?相關的預算執行是25億25億之多你覺得這個有效嗎?花25億去給國際觀光旅客這真的是大禮包耶25億耶 |
transcript.whisperx[279].start |
8111.648 |
transcript.whisperx[279].end |
8115.39 |
transcript.whisperx[279].text |
中央政府疫後強化經濟與社會福利及全民共享經濟成果特別預算 |
transcript.whisperx[280].start |
8134.796 |
transcript.whisperx[280].end |
8160.311 |
transcript.whisperx[280].text |
所以我要講的是我們今天花了這麼多的錢有25億是用作是去讓你來抽獎而且抽獎率非常高可是問題是我們還有這麼大的觀光逆差所以請問這樣的大禮包這樣的花錢方式是對我們吸引國際觀光客真的有幫助嗎? |
transcript.whisperx[281].start |
8162.112 |
transcript.whisperx[281].end |
8182.445 |
transcript.whisperx[281].text |
我想跟委員報告一下我們從這樣的一個預算來看其實在剛才也特別提到112年我們也透過這樣的方式也達成了這個600萬的人次那到目前為止呢其實這樣的方式剛才有特別提到像韓國的旅客經過這樣的方式他其實他已經恢復到疫情前的95%其實已經幾乎是快 |
transcript.whisperx[282].start |
8185.607 |
transcript.whisperx[282].end |
8195.194 |
transcript.whisperx[282].text |
所以你認為人家來是為了來幫給我們抽獎的嗎?是因為我覺得這是舍本逐末,其實老蔣這真的是舍本逐末。這樣的一個又一手段方法吸引這個國際觀光客來台,他來台以後 |
transcript.whisperx[283].start |
8200.998 |
transcript.whisperx[283].end |
8201.739 |
transcript.whisperx[283].text |
所以你要持續到什麼時候?你要用這樣的方式持續到什麼時候? |
transcript.whisperx[284].start |
8222.043 |
transcript.whisperx[284].end |
8250.762 |
transcript.whisperx[284].text |
就是我們特別預算到114年結束為止。114年,所以一直要到明年底,有繼續這樣的大禮包。然後另外我要特別說,我非常不滿意,就是這個事在於報告,我還不是出現在報告外的題目。然後你們顯然準備不足,然後顯然你們對這筆預算,你們是覺得好像要不要給你們無所謂。我覺得剛才光是看你們,你們已經耽誤我很多時間在那邊交頭接耳。好,謝謝。 |
transcript.whisperx[285].start |
8252.823 |
transcript.whisperx[285].end |
8253.644 |
transcript.whisperx[285].text |
請內政部花次及國土署 |
transcript.whisperx[286].start |
8280.523 |
transcript.whisperx[286].end |
8280.603 |
transcript.whisperx[286].text |
前瞻基礎建設計畫 |
transcript.whisperx[287].start |
8310.183 |
transcript.whisperx[287].end |
8318.369 |
transcript.whisperx[287].text |
有關臺灣地震其實狀況非常頻繁我想你非常清楚外強在全國各縣市 |
transcript.whisperx[288].start |
8320.39 |
transcript.whisperx[288].end |
8343.948 |
transcript.whisperx[288].text |
極端氣候、熱脹冷縮也好,包括地震過後外牆的剝落,這個部分是很多民眾所關心。所以常常在訊息上、在LINE上看到很多長輩都在講說,地震過後盡量走到高樓大廈稍微要注意一點,要快點經過。我們之前也有看過冷氣外掛在上面,然後砸到大學生在等公車的大學生。 |
transcript.whisperx[289].start |
8344.969 |
transcript.whisperx[289].end |
8370.566 |
transcript.whisperx[289].text |
我覺得在這一塊上當然我們內政部目前有相關的法規就是我們可以用相關的這個都更的補助辦法來做重建、整建跟維護對不對是好但是我就必須要提這個重建整建的維護我們有綁一些條件比如說都要用更新會或者是管委會或者是更新事業單位來做申請 |
transcript.whisperx[290].start |
8372.13 |
transcript.whisperx[290].end |
8394.288 |
transcript.whisperx[290].text |
但是花次你應該很清楚臺灣很多老舊社區根本這些四五十年或三十年以上的根本很多人連管委會都沒有成立所以各縣市其實現在有更多的彈性就是說有些是以凍為主或甚至是以戶為主他們就整合之後他們就聯署之後有一定的證明方式之後他們就可以來申請 |
transcript.whisperx[291].start |
8395.849 |
transcript.whisperx[291].end |
8420.983 |
transcript.whisperx[291].text |
面臨地震過後我其實我非常的期待希望中央可以在相關的補助要點辦法上做修正可以有更多的彈性在全國試用上我們可以給予更多的協助謝謝委員這部分確實我們也在思考一方面當然我們現在有補助這個公寓也成立管委會但是確實很不積極啦很不積極所以說您剛剛講的方向正是我們現在正在 |
transcript.whisperx[292].start |
8421.323 |
transcript.whisperx[292].end |
8448.705 |
transcript.whisperx[292].text |
那它是這個部分可不可以在一個禮拜之內我們可以有更明確的方向出來比較難這麼快因為終究它是一個大政策它需要而且那什麼時候可以出來你也了解什麼時候可以出來520的介面所以說可能還是要到新政府這是大多數的事務官都是在的這些他們都要繼續研究所以你可不可以給我一個時間點讓地方各縣市還有現在面臨30年20年以上我就不要再花時間其實地方政府如果已經鬆綁了我們都會認同 |
transcript.whisperx[293].start |
8451.545 |
transcript.whisperx[293].end |
8452.065 |
transcript.whisperx[293].text |
法定人數不足 |
transcript.whisperx[294].start |
8476.332 |
transcript.whisperx[294].end |
8476.672 |
transcript.whisperx[294].text |
接下來我要問第二個有關都更的問題 |
transcript.whisperx[295].start |
8505.3 |
transcript.whisperx[295].end |
8528.005 |
transcript.whisperx[295].text |
花子有關於我們現在容積管制在容積管制之前圓融的認定的部分我們過去之前是用鉛筆來去做計算這個部分有關於都更本65條的獎勵方案我想你非常清楚在中高樓層我們都知道中高樓層整合上其實非常不容易來看再看下一張所以我們早期是用還沒有實施這個 |
transcript.whisperx[296].start |
8531.086 |
transcript.whisperx[296].end |
8531.446 |
transcript.whisperx[296].text |
主管預算凍結書面報告案 |
transcript.whisperx[297].start |
8562.248 |
transcript.whisperx[297].end |
8589.527 |
transcript.whisperx[297].text |
佣金管制之後,因為沒有圓融界認定,所以我們只適用一種獎勵,這個就會牽涉到兩種問題,一般很多人都覺得說我應該是用建造申請來去切那個界面點,所以在現在面臨很多實施佣金管制前後,會有兩種標準剛好卡在那個界線上,這個就是65條的部分,所以花次我知道這個部分我們內部已經在做討論, |
transcript.whisperx[298].start |
8590.247 |
transcript.whisperx[298].end |
8591.088 |
transcript.whisperx[298].text |
主席 |
transcript.whisperx[299].start |
8606.732 |
transcript.whisperx[299].end |
8606.952 |
transcript.whisperx[299].text |
法定人數不足 |
transcript.whisperx[300].start |
8630.322 |
transcript.whisperx[300].end |
8658.548 |
transcript.whisperx[300].text |
可以的話容我們一個月之內好不好好 謝謝花次然後另外全國的都更的腳步我們都希望透過都更的法令的鬆綁也好你們覺得合理的方式來處理包括協議合建的部分相關的這個契稅跟土地增值稅的相關的減免可以比照我們現在權力變換的部分我也希望可以朝這方向去思考 |
transcript.whisperx[301].start |
8659.368 |
transcript.whisperx[301].end |
8674.104 |
transcript.whisperx[301].text |
包括我們時程獎勵的部分現在在113年5月16號其實我們就剛好到這個期限所以新的那個時程獎勵的部分我覺得可能可以繼續思考是不是有機會往 |
transcript.whisperx[302].start |
8675.145 |
transcript.whisperx[302].end |
8675.525 |
transcript.whisperx[302].text |
主席主席 |
transcript.whisperx[303].start |
8700.826 |
transcript.whisperx[303].end |
8702.969 |
transcript.whisperx[303].text |
因為10層獎勵終究還是有它的本質,不宜再有新的10層,那就沒有10層獎勵的意義。我們有開另外的獎勵項目來替代。 |
transcript.whisperx[304].start |
8717.048 |
transcript.whisperx[304].end |
8718.169 |
transcript.whisperx[304].text |
謝謝李延秀委員的質詢,請接受蘇曉慧委員質詢。 |
transcript.whisperx[305].start |
8743.851 |
transcript.whisperx[305].end |
8765.686 |
transcript.whisperx[305].text |
好,謝謝主席。我們請花次長。花次,不用坐了啦。我叫你坐得快,你就不來。花次請。我本來是想要請所有的在場的各部會次長啦。因為我覺得我要講的這個跟大家都有關係。不過這樣太多人了,所以因為下一題也還是花次的題,所以就整齊你代表啦。好,委員好。好,次長好齁。 |
transcript.whisperx[306].start |
8766.843 |
transcript.whisperx[306].end |
8778.101 |
transcript.whisperx[306].text |
我想今天在這裡再次的處理前瞻預算這應該是蔡英文總統任期內我們大家一起處理前瞻預算的最後一次其實在這裡講前瞻我真的是非常的感慨 |
transcript.whisperx[307].start |
8779.564 |
transcript.whisperx[307].end |
8794.419 |
transcript.whisperx[307].text |
因為從106年蔡英文總統提出了這個前瞻的計畫之後其實我們在國會殿堂裡橋也進行了非常多的攻防就在這個空間就在這個台子上就在這個角落我就站在這裡對著國民黨丟來的麵粉和丟來的水球這整間的狀況當時我想大家應該記憶猶新 |
transcript.whisperx[308].start |
8803.067 |
transcript.whisperx[308].end |
8828.793 |
transcript.whisperx[308].text |
我就在這裡講其實前瞻不是只有支援高科技前瞻前瞻翻轉成瞻就是前瞻我們就是要拿這樣的特別預算到台灣過去沒有足夠經費的鄉村到其他的地方讓我們的基礎建設可以做得更好所以剛剛有許多國民黨委員還是持續在問說 |
transcript.whisperx[309].start |
8829.793 |
transcript.whisperx[309].end |
8858.624 |
transcript.whisperx[309].text |
前瞻預算做了這麼多年,到底人民的感受如何?我也想跟大家分享,也順便謝謝所有辛苦的公務人員,因為有你們的支持,大家可以看一看。你看,有前瞻計算的配合,然後還有各位的努力,就像我的選區,剛剛的新陰題外變道,一條再與河道徵地徵路的新路開闢出來了,我們的交通瓶頸打通了。 |
transcript.whisperx[310].start |
8859.364 |
transcript.whisperx[310].end |
8888.384 |
transcript.whisperx[310].text |
還有我們的山陰縣、樹林萬大縣過去經費不足的捷運沒有辦法凍光的捷運凍起來了現在一步一步朝向要實現的狀況在接下來更實際的台水公司因為各位有了預算之後再加上大家的努力我們的高地現在有水喝山下不淹水山上有水喝甚至是市區的水管都可以更新這不就是人民期待的好生活嗎 |
transcript.whisperx[311].start |
8889.845 |
transcript.whisperx[311].end |
8904.324 |
transcript.whisperx[311].text |
說實在的我們從剛剛的軌道建設到現在地方居民每天在走的人行步道每一項每一項甚至是連教育部相關搬搬有冷氣也是有這樣的前瞻預算在裡面 |
transcript.whisperx[312].start |
8905.62 |
transcript.whisperx[312].end |
8925.094 |
transcript.whisperx[312].text |
所以要知道這樣的一筆錢一筆預算如果用得好真的是對過去少資源易住到的鄉村就像我的選區也沒有很遠是新北市的樹林因割新莊而已但我們可以改善的基礎建設真的非常的多 |
transcript.whisperx[313].start |
8925.894 |
transcript.whisperx[313].end |
8946.985 |
transcript.whisperx[313].text |
市長,今天你在這裡,剛剛也有很多建設是跟你的部會相關的。請問,你個人支不支持,如果我們520的新政府上任之後,我們再來找尋裁員,或者編列計畫,我們再提供一個像前瞻這樣的預算,你覺得可行嗎?你支持嗎? |
transcript.whisperx[314].start |
8948.171 |
transcript.whisperx[314].end |
8971.206 |
transcript.whisperx[314].text |
我想國家建設本來就是要有些大破例來執行一些大方案,那任何一個新政府的上台,確實是有這樣子的必要,來用一個更大的視野改善一些長期結構性的困境,那用充分的預算來執行是對的。老實講啦,今天是在談解凍,但是我們回去地方,大家都在問,委員,你把他們都裝水貢啊? |
transcript.whisperx[315].start |
8973.427 |
transcript.whisperx[315].end |
8974.007 |
transcript.whisperx[315].text |
一、有關教育部主管預算凍結書面報告案。 |
transcript.whisperx[316].start |
8990.293 |
transcript.whisperx[316].end |
9002.771 |
transcript.whisperx[316].text |
兩邊的政黨在這裡吵得不可開交好像前瞻是很邪惡的不好的他們都一直在反對但是回到地方以後等於是大家都在吵吵的是預算可不可以多來一點我選區 |
transcript.whisperx[317].start |
9004.287 |
transcript.whisperx[317].end |
9033.433 |
transcript.whisperx[317].text |
變成是在院內吵架,院外爭取,這種奇特的現象。所以我是覺得啦,如果可以的話,未來的新政府上任之後,實在是應該繼續延續這樣的好的概念啦。這是第一題,也藉這個機會向在場所有認真執行計畫的公務員人士致上謝意。謝謝你們改善了所有台灣人民的基礎建設以及每天的生活。 |
transcript.whisperx[318].start |
9034.639 |
transcript.whisperx[318].end |
9061.92 |
transcript.whisperx[318].text |
好那另外第二題的話其實也是要問次長啦這就真的是你的題目大家也都在問耐震補強的部分喔那我想耐震補強其實是在地震之後我們在做了非常多的地震相關救災也好補助措施也好另外一個針對既有狀況的加強那次長你知道我們現在的耐震補強其實有計畫但是執行率不是很好你知道最主要的原因你會歸結於什麼 |
transcript.whisperx[319].start |
9063.595 |
transcript.whisperx[319].end |
9078.602 |
transcript.whisperx[319].text |
我想第一個當然整合的困難還有這個整合困難整合困難是關鍵那當然就是另外就是費用的負擔是啊另外的費用負擔嘛其實是這兩個最多第三個還有另外一個啦其實是 |
transcript.whisperx[320].start |
9080.022 |
transcript.whisperx[320].end |
9105.6 |
transcript.whisperx[320].text |
這個地方的這個建物如果被評價為說需要內政補強那對當地居民來講哇!我的房價是不是會有影響其他的人會不會覺得我這不安全其實心情上反而是變成他去評估反而他受損害那我想市長你很清楚這個狀況另外兩點也是我完全同意的所以我認為其實我們是不是可以跟國土署這邊商量一下把這個意見帶回去 |
transcript.whisperx[321].start |
9106.54 |
transcript.whisperx[321].end |
9129.846 |
transcript.whisperx[321].text |
我會提出一部專法那也請國土署這邊是不是可以一起來討論我們確實是應該制定一個專法在經費上面可以更大力的補足在同意權的部分上面在區分所有權人同意的層數上面是不是可以比照都更或者老舊建物等等它可以往下下修讓這個同意可以比較快執行那最後 |
transcript.whisperx[322].start |
9131.006 |
transcript.whisperx[322].end |
9152.314 |
transcript.whisperx[322].text |
與其說它被評估為該內政,它覺得心情上受損,不如我們是不是可以設計一個制度,你補強完內政,我給你一個徽章,代表是你這個建物已經經過內政補強。我覺得這樣反向思考,其實反而是可以鼓勵私部門來做這件事情,是這樣認同嗎? |
transcript.whisperx[323].start |
9153.394 |
transcript.whisperx[323].end |
9164.507 |
transcript.whisperx[323].text |
謝委員真是太棒了這也是我們現在積極想要來做的事情那這樣的話是不是可以請國土署這邊在跟我們辦公室在藉由三法的部分進行討論下個會期我們共同提出謝謝謝謝蘇曉鶴委員的質詢我們休息10分鐘 |
transcript.whisperx[324].start |
9777.295 |
transcript.whisperx[324].end |
9779.978 |
transcript.whisperx[324].text |
好,請各位就座肅靜。我們繼續開會。好,我們繼續開會喔。那接著我們請林營委員質詢。林委員請。 |
transcript.whisperx[325].start |
9800.814 |
transcript.whisperx[325].end |
9801.134 |
transcript.whisperx[325].text |
有請書發部次長。 |
transcript.whisperx[326].start |
9821.092 |
transcript.whisperx[326].end |
9834.289 |
transcript.whisperx[326].text |
今年3月27日,本席在教育委員會質詢文化部史哲部長時,部長很明確地表達新聞有價、媒體溢價是世界各國都是現在進行式。 |
transcript.whisperx[327].start |
9834.91 |
transcript.whisperx[327].end |
9855.029 |
transcript.whisperx[327].text |
而且,文化部所輔導的北市報業工會也好,雜誌工會,他們都認同要積極推動媒體溢價法,又或者要設立培育第4權任性特別基金。所以我要請問次長,就是你是否同樣也支持新聞有價,或者認同台灣要設置媒體溢價法?次長。 |
transcript.whisperx[328].start |
9858.485 |
transcript.whisperx[328].end |
9882.902 |
transcript.whisperx[328].text |
謝謝委員隨選,那有關這個新聞有價這個部分沒有問題,行政院跟跨部會參與的,包括數位部、文化部,通常會都認為新聞有價,這個是完全沒有問題的。但是不是要用媒體議價法這個路線,目前行政院並沒有確認,而且世界各國也不是都走媒體議價法,媒體議價法在世界各國是少數,多數還是走那個所謂的著作權、著作理解權。 |
transcript.whisperx[329].start |
9884.718 |
transcript.whisperx[329].end |
9884.758 |
transcript.whisperx[329].text |
蘇慧卿議員 |
transcript.whisperx[330].start |
9905.521 |
transcript.whisperx[330].end |
9924.826 |
transcript.whisperx[330].text |
我的明定就是數位發展部就是主責機關。那我想歷經這個9個月的等待跟不連續的屆期,那這一次的會期我又再度的提案。那在這個9個月當中,我想各國的腳步是持續在前進。像是印尼,它已經這個簽署法令,就是 |
transcript.whisperx[331].start |
9927.847 |
transcript.whisperx[331].end |
9951.893 |
transcript.whisperx[331].text |
要求數位平台應付費才能使用媒體內容而最致力於將歐盟的著作臨階權概念內國法化的這個法國當然至今他無法有效的對於數位平台做出規範可是面對數位平台的這個楊鳳英偉他無奈的也只能一次次的開罰那我想台灣喔 |
transcript.whisperx[332].start |
9954.816 |
transcript.whisperx[332].end |
9974.621 |
transcript.whisperx[332].text |
就如同您說的,每個部位其實都認同新聞有價,可是至今我們還是不清楚主責單位到底是哪裡。討論了三年,還在澳洲的專法的模式,或者是歐盟的著作臨接權的模式在那邊搖擺不定。 |
transcript.whisperx[333].start |
9976.542 |
transcript.whisperx[333].end |
9997.282 |
transcript.whisperx[333].text |
國內學者已經說得非常明白,立法是確保媒體與平台公平競爭的唯一方法,新設專法是最好的方式。歐盟著作凍結犬的模式恐怕不是值得學習的方式。 |
transcript.whisperx[334].start |
9998.883 |
transcript.whisperx[334].end |
10019.639 |
transcript.whisperx[334].text |
成功大學法律系的許教授採取著作靈接權模式的法國為例。用法國的狀況來看,數位平台還是坐擁不對等的市場與協商方式,拒絕與媒體進行透明、客觀、公開與誠信的協商。 |
transcript.whisperx[335].start |
10020.299 |
transcript.whisperx[335].end |
10037.322 |
transcript.whisperx[335].text |
那最終你還是要仰賴所謂的競爭委員會的介入才可以發揮著作凝結權的功效。所以換句話說,如果達到實質有效的媒體議價,要求平台告知所謂的評估報酬等必要的資訊, |
transcript.whisperx[336].start |
10038.223 |
transcript.whisperx[336].end |
10052.349 |
transcript.whisperx[336].text |
那而且在協商不成的時候要由仲裁委員會出面那並指定獨立監管人來進行後續的管理跟執行那這些都是必要的措施所以請教次長你認同這樣的說法嗎? |
transcript.whisperx[337].start |
10053.587 |
transcript.whisperx[337].end |
10074.535 |
transcript.whisperx[337].text |
是,跟委員報告,其實委員剛有提到,這個議題在行政院的層級裡面也討論了3年。那所以其實跟著現在科技的進步,其實包含美國,包含歐盟,他們已經不是只有討論媒體溢價這個部分。現在最重要的概念是AI的資料探勘有沒有使用到媒體資料庫。那上個禮拜, |
transcript.whisperx[338].start |
10076.096 |
transcript.whisperx[338].end |
10104.94 |
transcript.whisperx[338].text |
英國的金融時報剛剛跟OpenAI簽署了資料庫的授權也就是說當AI在進行語言學習使用新聞出版內容的時候它是怎麼有價的那去年底的時候紐約時報對不起美聯社也同樣簽署了一年一千萬美金的授權給OpenAI所以現在西方各國其實注目的是新聞內容怎麼樣保護起來不被所謂的AI大型平台 |
transcript.whisperx[339].start |
10105.62 |
transcript.whisperx[339].end |
10131.56 |
transcript.whisperx[339].text |
因為如果按照委員剛剛提示的澳洲模式的話不管是澳洲或者是紐西蘭或者是加拿大很清楚的看到目前他們所有的立法只有抓到Google一家所以所謂的強制一家法很可能也只會抓到Google一家但是現在有太多的AI平台在使用語言學習的時候很有機會讓我們的新聞出版因為新聞出版反映了各個時代的精確語言內容 |
transcript.whisperx[340].start |
10133.444 |
transcript.whisperx[340].end |
10161.709 |
transcript.whisperx[340].text |
那好,你剛剛提到Google,Google 3年3億數位共融基金到底能不能當作是所謂媒體溢價法的替代方案喔?那臺大的那個新聞所的教授林肇政有指出,他說Google的數位共融基金喔,他第一年有獲得補助的23個提案申請當中,雖然有17家新聞媒體跟民間的媒體,網路媒體,還有另外5家的科技公司跟一個大學系所,換句話說, |
transcript.whisperx[341].start |
10163.129 |
transcript.whisperx[341].end |
10172.574 |
transcript.whisperx[341].text |
Google的這個數位共榮基金實際上它是補償新聞著作權和補償新聞著作權的損失無關。就是說長期使用新聞媒體的內容卻為付費的這個問題仍舊存在,沒有獲得解決。所以次長你如果說,照您剛剛說的,那你如何評價Google的數位共榮基金? |
transcript.whisperx[342].start |
10188.022 |
transcript.whisperx[342].end |
10210.594 |
transcript.whisperx[342].text |
教育部的立場我們從來不認為3億的共榮基金會跟媒體溢價法有關係,那是Google針對所謂的新聞產業進行所謂的新創或使用科技的一筆基金,那個跟媒體溢價沒有關聯。是,所以你也認為媒體有價,可是媒體有價未必要用媒體溢價法來處理。當然。 |
transcript.whisperx[343].start |
10212.475 |
transcript.whisperx[343].end |
10214.356 |
transcript.whisperx[343].text |
那你有想到更好的方式嗎? |
transcript.whisperx[344].start |
10243.021 |
transcript.whisperx[344].end |
10253.408 |
transcript.whisperx[344].text |
主席、各位委員、各位官員。我相信主計部還有主計長跟衛福部的次長。主計部副主計長、社福部的理事。請相關人員讓位一下好不好。 |
transcript.whisperx[345].start |
10271.253 |
transcript.whisperx[345].end |
10290.271 |
transcript.whisperx[345].text |
委員好你好這次我們前瞻計畫已經執行到第4期了所以剩下的不到800億元我想請教主席長還有次長我們這個前瞻計畫的重點很多都放在綠能、軌道、數位、城鄉等等的 |
transcript.whisperx[346].start |
10291.192 |
transcript.whisperx[346].end |
10314.082 |
transcript.whisperx[346].text |
好,我們來統計一下,自從2017年前瞻預算開辦至今,我想請問,最近呢,我們衛福部非常關心的就是食安的議題,食品安全網。所以我們對於這個上面的食安建設的投資,到底佔上限8400億元的百分之多少? |
transcript.whisperx[347].start |
10317.809 |
transcript.whisperx[347].end |
10338.561 |
transcript.whisperx[347].text |
跟委員報告就是說我們這個前瞻的計畫當然是先有計畫再有預算所以計畫就是說因為透過我們有一個審查的機制然後所以我們並不會先預設說它要佔多少比例那它是有點是競爭型的概念所以你覺得你可能會花多少錢嗎 |
transcript.whisperx[348].start |
10339.602 |
transcript.whisperx[348].end |
10345.325 |
transcript.whisperx[348].text |
關於食安建設的投資算了一算居然僅佔上限的0.47%所以為什麼本席會關注這個議題因為大家也知道從去年的新聞至今不管是瘦肉精或是邊境查不完的這個外國進口的草莓、水果 |
transcript.whisperx[349].start |
10368.957 |
transcript.whisperx[349].end |
10396.035 |
transcript.whisperx[349].text |
還有最近這個禮拜保齡茶室的風暴才有第4個非常無辜的受害者身亡還有衛福部之前承諾兩三個月要把所有下游的蘇丹紅全部查完就是因為我們每次質詢你都告訴我們說量能不足、人力不足、抽檢不足所以我們沒有把事情做好因此也想要在這邊幫次長 |
transcript.whisperx[350].start |
10398.683 |
transcript.whisperx[350].end |
10398.743 |
transcript.whisperx[350].text |
第5次聯席會議 |
transcript.whisperx[351].start |
10417.091 |
transcript.whisperx[351].end |
10437.972 |
transcript.whisperx[351].text |
花在蓋房子是昆陽大樓基礎建設的整建更新。我也想請問主計長,如果說衛福部要做一些翻修、蓋實驗室、更新設備、器材等等,為什麼要用特別預算來做?公務預算你提出申請不是天經地義的事情嗎? |
transcript.whisperx[352].start |
10439.373 |
transcript.whisperx[352].end |
10467.81 |
transcript.whisperx[352].text |
跟委員報告就是說這個透過特別預算當然就是同樣的事情但是我們認為它在急迫性上蠻重要所以針對這個部分所以就到特別預算來但是委員所關心的實在問題的確是我們要重視所以我想不管是未來是在特別預算或者是我們年度的預算只要衛福部有提出相關的計畫我想所以是說衛福部的這個大樓是很突然的需要整建 |
transcript.whisperx[353].start |
10468.63 |
transcript.whisperx[353].end |
10484.116 |
transcript.whisperx[353].text |
所以我們才撥特別預算給他不是他很突然而是說他有這個急迫性那因為我們可能在特別預算的時候有這個空間所以我們就讓他納便到特別預算那很明顯嘛所以難怪做得不夠好我們來看 |
transcript.whisperx[354].start |
10485.837 |
transcript.whisperx[354].end |
10506.717 |
transcript.whisperx[354].text |
你幫自己設定的KPI,衛福部透過聯合分工檢驗體系實品檢驗件數,你從110年開始看,每年都有8700件,等於每個月至少725。現在前瞻5期會到明年的8月結束,至少8個月也要有超過5800件的KPI,為什麼你幫自己編的是4200件? |
transcript.whisperx[355].start |
10511.221 |
transcript.whisperx[355].end |
10527.128 |
transcript.whisperx[355].text |
那另外一個指標一般例行性食品檢驗件數每個月至少應該要5、6、6、6件啊可是你至少8個月也應該超過4萬5你也只給自己編了3萬件你不是已經覺得自己量能不足了嗎 |
transcript.whisperx[356].start |
10529.55 |
transcript.whisperx[356].end |
10558.556 |
transcript.whisperx[356].text |
委員好,那這個部份我是不是可以請我們食藥署的同仁來回答,可以比較知道說這個部份的執行概況。跟先生委員報告,事實上我們中央地方在執行這個食品檢驗的部份,每一年平均都會超過10萬件以上。所以這個是追加的?是。所以你追加為什麼你會覺得110年到現在你可以減少?因為我們最近反而食安是越來越嚴重。 |
transcript.whisperx[357].start |
10559.841 |
transcript.whisperx[357].end |
10586.836 |
transcript.whisperx[357].text |
報告委員,事實上不是只有前瞻基礎建設計畫的經費有支應在我們的食安檢驗上面。事實上我們每年的公務預算以及我們其他的科技預算還有社發經費,我們都有相當的經費在撥用在這個相關中央跟地方的檢驗上。好,所以我們幫次長一起爭取,在第5期的時候可不可以再多放一些心力在我們的食安。好,謝謝。時間到了。好,謝謝大家。 |
transcript.whisperx[358].start |
10589.998 |
transcript.whisperx[358].end |
10602.327 |
transcript.whisperx[358].text |
最後我也想跟次長一起跟我們主計長爭取這個癌症新藥基金是我們賴準總統很重要的一個政見因為現在癌症新藥納入健保起碼要兩年 |
transcript.whisperx[359].start |
10603.428 |
transcript.whisperx[359].end |
10628.695 |
transcript.whisperx[359].text |
跟日本韓國比起來是天差地遠他們幾十天啊所以現在我們的癌症死亡率五年存活率是嚴重落後先進國家包括我們所有的鄰近國家因此我們希望可以編列一個癌症新藥基金也有朝野立委十幾位都已經提出了要來修正癌症防治法的第16條我也想在這邊問一下 |
transcript.whisperx[360].start |
10630.575 |
transcript.whisperx[360].end |
10634.821 |
transcript.whisperx[360].text |
次長,是不是跟主計處會做一個可行性的評估報告? |
transcript.whisperx[361].start |
10636.928 |
transcript.whisperx[361].end |
10662.52 |
transcript.whisperx[361].text |
這個部分我們朝向要設一個新藥基金可是要不要修法等等那個部分我們再來做一些研議那我們已經很努力的在爭取相關的預算有,你們現在用臨時撥補的方式可是癌友告訴我說他也許第一年可以獲得治療那第二年第三年呢因為剛剛衛福部部長也說每年的財源是非常不穩定的你也知道嘛對 |
transcript.whisperx[362].start |
10664.341 |
transcript.whisperx[362].end |
10664.941 |
transcript.whisperx[362].text |
有請教育部劉次長 |
transcript.whisperx[363].start |
10689.614 |
transcript.whisperx[363].end |
10696.103 |
transcript.whisperx[363].text |
委員長好 次長長我們同意片還沒有出來可以時間暫停一下嗎不好意思謝謝時間請暫停好 |
transcript.whisperx[364].start |
10701.633 |
transcript.whisperx[364].end |
10703.073 |
transcript.whisperx[364].text |
請各級機關應斟酌國家語言整體發展方案的書面用語規範,優先使用臺灣原住民語、臺灣客語、臺灣台語、麻族語及臺灣手語, |
transcript.whisperx[365].start |
10731.178 |
transcript.whisperx[365].end |
10751.973 |
transcript.whisperx[365].text |
可是呢,我們來往下看發生了什麼事情。在最近,師大台灣系的多位教授聯名向行政院提出陳情,就是關於教育部拒絕把相關國家語言發展業務的名稱從閩南語改成台灣台語。那行政院就把這個文呢,發到這個國家語言發展法主管機關文化部,文化部再移文到教育部,結果教育部你們的回應是, |
transcript.whisperx[366].start |
10753.775 |
transcript.whisperx[366].end |
10765.748 |
transcript.whisperx[366].text |
啟動課綱研修程序,找了地方政府課綱修訂小組諮詢會議的意見,無法取得共識,所以沒有辦法改。但是次長就您所知道,其實國家語言發展方案當中,難道教育部主管的業務只有跟課綱有關嗎? |
transcript.whisperx[367].start |
10768.369 |
transcript.whisperx[367].end |
10786.662 |
transcript.whisperx[367].text |
跟委員報告,當然我們還包含國家語言整體發展方案裡面的方案,我們也有執行,是。好,那我們來看一個下一頁,來。那事實上我們看到這個除了台式大教授陳晴之外呢,我們來往下看喔。在國外有多個例子,有很多台灣的學者在海外教學的時候,他們在教台語文課程。 |
transcript.whisperx[368].start |
10787.523 |
transcript.whisperx[368].end |
10815.474 |
transcript.whisperx[368].text |
那可是我們卻被中國的學者或是中國的學生質疑說你們的教育部自己都在課綱跟相關的公文裡面說叫做閩南語你們憑什麼把你們在海外教這個台語叫做台語次長您覺得我們的學者或是我們在海外教台灣這些老師教授們他們心裡面作何感想委員報告這個議題的確我們現在已經進我們的課綱研修小組在討論但是如同次長您剛剛說的他不會只有跟課綱有關對不對 |
transcript.whisperx[369].start |
10817.097 |
transcript.whisperx[369].end |
10839.759 |
transcript.whisperx[369].text |
是,它另外還有是跟國家語言整理發展方案。是,那針對海外這個部分還有後續我要跟您討論的來下一頁。其實目前我們盤點整理有語文競賽的部分、語言檢定的部分、文學獎的部分、詞典名稱的部分,其實它都可以跟您剛剛說的課綱如果都還需要討論,但是光是在這些本土語言的業務上就有很多事情可以先行調整,但是教育部為什麼遲遲沒有動作? |
transcript.whisperx[370].start |
10842.47 |
transcript.whisperx[370].end |
10869.506 |
transcript.whisperx[370].text |
公文報告,這個我們再檢討一下,但是如果是跟課綱有關的,的確目前還是遵循課綱。好,那我們尊重課綱啟動研修的相關討論專業會議,可是明明有很多線型可以更正的地方,但是教育部卻不更正,那因為時間有限了,我想要積極拜託教育部,全面盤點跟課綱沒有關的業務,例如說我剛剛說的語言檢定、語文競賽、文學獎、死點名稱,把閩南語改成台灣台語這件事情,這邊可以積極進行相關報告研究嗎? |
transcript.whisperx[371].start |
10870.226 |
transcript.whisperx[371].end |
10887.965 |
transcript.whisperx[371].text |
是不是我們把一個月內把這個相關的報告就給委員?好,那我希望這個報告裡面呈現的不要再只是做相關研究的啟動,因為它確實可以做積極的調整。再來,如同您剛剛說的,有很多必須要拉到課綱討論會議的時候,請把這個概念再度嚴正地強調放入相關的討論當中。 |
transcript.whisperx[372].start |
10889.771 |
transcript.whisperx[372].end |
10899.844 |
transcript.whisperx[372].text |
我們就針對委員的兩個建議來提供報告。好,尤其是台語的主體性的部分。好,那這個部分先謝謝次長。那接下來要拜託那個體育署副署長,謝謝。 |
transcript.whisperx[373].start |
10902.226 |
transcript.whisperx[373].end |
10921.234 |
transcript.whisperx[373].text |
關於前瞻基礎建設的部分,在我的畫面左邊這個是之前體育署林德福署長,他當時前瞻計畫說要蓋6個球場作為發展台灣足球基地,我想你應該都有印象,可是回頭看目前真的蓋起來而且運作當中的只有一座男子足球場,而且這還是高雄的劉士芳委員積極認真爭取出來的結果, |
transcript.whisperx[374].start |
10923.275 |
transcript.whisperx[374].end |
10951.278 |
transcript.whisperx[374].text |
回過頭來看其他經費到現在都變成田徑場的整修還有學校足球場的費用所以一旦台灣民間足球界談到前瞻談到六年足球計畫大家都非常非常的失望那今天在質詢的時間我要再次提醒副署長因為接下來我們還有優化全民運動與賽會環境計畫經費我們來看一下目前你們發出去的經費呢都落在哪裡全部都放在學校的整修或者是相關的興建可是明明大家 |
transcript.whisperx[375].start |
10951.678 |
transcript.whisperx[375].end |
10964.705 |
transcript.whisperx[375].text |
之前跟大家討論過的都會型小型共用足球場目前完全沒有看到相關的計畫那體育署現在還開放各縣市申請這些都是郊區跟設施的整建大家都在看體育署到底相關的態度是什麼 |
transcript.whisperx[376].start |
10965.598 |
transcript.whisperx[376].end |
10974.782 |
transcript.whisperx[376].text |
報告員,因為目前也有請各個縣市政府在盤點適當的區域。就是你們盤點,可是你們沒有更積極的說法,甚至你們沒有相關的要案,告訴縣市政府,不是把相關組場修好,有非常多非常多的社區俱樂部正在,他們都在找場地,他們都在找不到場地,但是你們明明在進行相關案件說明的時候,可以更積極的開放這個態度,那麻煩你們積極的調整。這部分目前18個案子,我們原則上都會給予責任。 |
transcript.whisperx[377].start |
10992.97 |
transcript.whisperx[377].end |
11020.64 |
transcript.whisperx[377].text |
這些案子我沒有問題我沒有要去擋他們的預算我說的是其他社區俱樂部他們的需求你們明明都知道我們再來邀好我們再來邀好那這個部分我們辦公室也會持續追蹤最後一分鐘我想要跟副署長討論一下上個月體育署辦的中學足球聯賽發生爭議我想你都知道美倫國中跟右昌國中那我不是專業裁判我不就上現場有沒有誤判做出決議可是我看了相關的影片我發現最後幾波的衝突不要說裁判跟球員現場其實沒有贏家怎麼說我們來往下看 |
transcript.whisperx[378].start |
11022.04 |
transcript.whisperx[378].end |
11026.963 |
transcript.whisperx[378].text |
在這個判決當中,居然有人在現場對裁判下指導棋,把原來的黃牌變成了紅牌。紅色衣服這個人,他是中學聯賽的裁判長。副署長請問你在足球比賽中,有任何人可以對現場的指揮裁判判法嗎? |
transcript.whisperx[379].start |
11043.771 |
transcript.whisperx[379].end |
11052.896 |
transcript.whisperx[379].text |
跟委員報告,這個部分目前看起來應該是裁判長為了要阻止兩邊的選手進去有當下的衝突,所以他進場主要是把兩邊的選手這邊有隔開,不要讓他們進一步的衝突,然後在這個當下的話, |
transcript.whisperx[380].start |
11062.6 |
transcript.whisperx[380].end |
11081.247 |
transcript.whisperx[380].text |
一切都是以那個裁判這邊的一個判決為最終的一個判決。那我們要說,事實上為什麼大家會對體育署之間,或是對這個事情有相關的討論,我想要先跟副署長分享。在比賽後這個孩子,他當場就告訴他爸媽他要把他的球鞋上網賣掉了。一雙五六千塊的球鞋他就不要了。 |
transcript.whisperx[381].start |
11081.867 |
transcript.whisperx[381].end |
11108.006 |
transcript.whisperx[381].text |
1、2千塊就要賣掉為什麼?孩子覺得這個大人的不公為什麼要他們來承擔?所以我這邊時間有限我想要快速拜託體育署體育署主辦中學足球聯賽裁判長這一次介入賽事爭議但真的不是第一次過往有非常多的案例請在兩週內提出完整報告不要再放任中學體總繼續讀後特定人事這件事情再來裁判養成不義相關的派令其實我覺得利益迴避你們都非常清楚也請你們積極的承擔相關你們必須要負的責任再來 |
transcript.whisperx[382].start |
11111.008 |
transcript.whisperx[382].end |
11135.012 |
transcript.whisperx[382].text |
體育每次現場大人的錯誤卻要小孩承擔體育署其實都知道我們辦公室非常非常多陳情都一直在告訴你們這一次事件我覺得相關調查報告後如果真的有疏失真的必須要向孩子道歉不要再讓他們承受相關我們大人所犯的錯誤目前有請高中體育總這邊提出完整的報告我們這邊也會再加以檢視阿針對這個個別的選手是不是容我們這邊也也請我們同仁這邊去先關心一下體育署之後補充說明好謝謝謝謝陳培委員的諮詢請接著請陳昭之委諮詢 |
transcript.whisperx[383].start |
11149.77 |
transcript.whisperx[383].end |
11150.011 |
transcript.whisperx[383].text |
有請李次 |
transcript.whisperx[384].start |
11165.188 |
transcript.whisperx[384].end |
11172.152 |
transcript.whisperx[384].text |
委員好,市長好。市長在凱開事件之後,衛福部有做了一些檢討,就是有關原來出養的評估是交給民間的社福團體來做,那也因為這個機構它從出養到安置,它是沒有它的財源的,所以只能從收養端的費用來支付。 |
transcript.whisperx[385].start |
11185.16 |
transcript.whisperx[385].end |
11199.196 |
transcript.whisperx[385].text |
但是這個情況之下機構可能會去找所謂的比較便宜的保姆甚至他就是目標就是達到出養那我覺得這個是有道德風險跟利益衝突的所以現在你們把出養評估又交回了給這個地方政府 |
transcript.whisperx[386].start |
11200.197 |
transcript.whisperx[386].end |
11221.198 |
transcript.whisperx[386].text |
那我這個非常認同,不過地方政府的人力的部分也希望中央要能夠去協助,不然因為人力的問題又卡住了。但是我要談的是說,現在只對出養的部分的評估交給回到政府來做,那收養評估呢?是不是還是由民間來做嗎?因為次長主要就是說凱凱這個事件,本來有個疼愛她的保姆,相處也很好。 |
transcript.whisperx[387].start |
11222.219 |
transcript.whisperx[387].end |
11239.901 |
transcript.whisperx[387].text |
他想要表達收養這個孩子他的保姆但是他被兒扶拒絕了那這個原因我不理解但是後來就悲劇了所以我是想了解說有關這個收養部分要怎麼做次長我自己都收養小孩的我要告訴你收養的問題其實沒有局外人想像的那麼簡單 |
transcript.whisperx[388].start |
11241.483 |
transcript.whisperx[388].end |
11242.724 |
transcript.whisperx[388].text |
修養人必須在不同媒合機構接受相關課程評估 |
transcript.whisperx[389].start |
11271.323 |
transcript.whisperx[389].end |
11272.604 |
transcript.whisperx[389].text |
政府的資料來看,終止收養的比率竟然高達五成。 |
transcript.whisperx[390].start |
11288.3 |
transcript.whisperx[390].end |
11314.728 |
transcript.whisperx[390].text |
也就是說收養通常它最後面的結果它不是個happy ending不是收養就是一個快樂的結局這個很多人反對代孕要求我們去收養我其實最接近才看到這個數字你看有一半是終止收養關係那終止收養會經過有三個方法一個雙方合議另外一個就是說法院判決那通常都是虐待等等那第三個是養父母死亡那我要談的是說 |
transcript.whisperx[391].start |
11318.185 |
transcript.whisperx[391].end |
11325.509 |
transcript.whisperx[391].text |
中止都是負面的嗎?即便養父母的時候你未必要去做這個中止關係,但是可見可能相處是負面的。市長你有掌握這個訊息嗎?有。一半以上都中止關係。對,它整個是包括所有的收養,不一定是每一個。成年、未成年都在裡面。 |
transcript.whisperx[392].start |
11337.435 |
transcript.whisperx[392].end |
11345.304 |
transcript.whisperx[392].text |
但是為什麼社會都在呼籲大家去收養叫不孕婦去收養為什麼你們都不出生收養其實是有很大的問題請次長再看我下面這一張其中屬於這個親屬關於收養前的評估現在兒少是有兩套標準 |
transcript.whisperx[393].start |
11352.853 |
transcript.whisperx[393].end |
11362.756 |
transcript.whisperx[393].text |
就是有親屬關係的他只要是這個收養人去法院申請就可以了但是另外就是像我一樣沒有血緣關係的反而要經過媒合機構、上課、面談、訪視當時我那個年代我要到法官那邊去了兩次我們四個人還有我交了一堆證件健康檢查證明、財產證明、收入證明、還良民證就是兩套標準在評估次長您覺得有血緣關係的收養就不用經過這些評估嗎? |
transcript.whisperx[394].start |
11381.902 |
transcript.whisperx[394].end |
11398.857 |
transcript.whisperx[394].text |
基本上因為我們是在民法本來就有一些相關收養的一個機制在所以我們對於在五等親內的收養我們還是覺得是不用經過媒合機構可是還是要經過法院你這個法就是太落後了我們看右邊這個表是 |
transcript.whisperx[395].start |
11399.778 |
transcript.whisperx[395].end |
11400.939 |
transcript.whisperx[395].text |
有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[396].start |
11430.839 |
transcript.whisperx[396].end |
11452.213 |
transcript.whisperx[396].text |
法規跟不上,應該是說因為有血緣關係,如果還要再去透過媒合製作,但是我現在用結果跟你討論,事實上就是八分之八十是有親屬關係終止收養,你要從這個結果去看去檢討,那再來這個是一國兩制,另外還不只一國兩制,還有一國八制的,就剛才提到收養是一國兩制, |
transcript.whisperx[397].start |
11453.314 |
transcript.whisperx[397].end |
11457.459 |
transcript.whisperx[397].text |
收費是一國八制,請市長看一下這個,不同的兒扶機構,收費從7萬到12萬,送到國外的要1萬美金。其實我認為這個成本,剛剛我提到會有一些顧慮,如果有兒扶的這個機構來處理,那我覺得成本應該由政府來負擔。 |
transcript.whisperx[398].start |
11473.177 |
transcript.whisperx[398].end |
11477.699 |
transcript.whisperx[398].text |
我是認為出養這件事不應該這個媒合應該由政府來做而不是在民間的團體來做那收費的問題會衍生這個因為收費問題就衍生剛剛我提到的會用比較便宜的保姆然後他可能會就是我的目標就是出養其實出養不是最好的結果 |
transcript.whisperx[399].start |
11489.923 |
transcript.whisperx[399].end |
11491.124 |
transcript.whisperx[399].text |
有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[400].start |
11510.121 |
transcript.whisperx[400].end |
11510.281 |
transcript.whisperx[400].text |
還是繼續委託給民間嗎? |
transcript.whisperx[401].start |
11532.1 |
transcript.whisperx[401].end |
11553.407 |
transcript.whisperx[401].text |
這是因為又會看那個縣市政府的一個量能的問題那我要跟委員特別報告就是說我們也注意到說收養後對於這些收養家庭的服務其實是沒有提供的我們這次在修法裡面也認為說收養之後的家庭我們應該要給相關的支持服務謝謝市長 謝謝主席好 謝謝謝謝陳執照委員的諮詢請接著我們請陳玉珍委員諮詢 |
transcript.whisperx[402].start |
11562.268 |
transcript.whisperx[402].end |
11576.095 |
transcript.whisperx[402].text |
教育部主管預算凍結書面報告案4案。教育部主管預算凍結書面報告案4案。教育部主管預算凍結書面報告案4案。教育部主管預算凍結書面報告案4案。教育部主管預算凍結書面報告案4案。教育部主管預算凍結書面報告案4案。教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[403].start |
11594.711 |
transcript.whisperx[403].end |
11597.372 |
transcript.whisperx[403].text |
教育部主管預算凍結書面報告案 |
transcript.whisperx[404].start |
11613.499 |
transcript.whisperx[404].end |
11637.492 |
transcript.whisperx[404].text |
加速擴大吸引國際觀光客的預算凍結三百萬書面報告有提到團客部分會提供五千到五萬元的獎助金如果長時間的加倍一萬到五萬元自由行旅客的部分是提供五千元的抽獎機會一共五十萬份、一百一十連二十萬份、一百一十三連十五萬份、一百一十連十萬份賴準總統最近也有提到前一陣子 |
transcript.whisperx[405].start |
11642.374 |
transcript.whisperx[405].end |
11648.615 |
transcript.whisperx[405].text |
12月去年底選舉也有提到鼓勵我們金門要吸引國際觀光客這個你們知道嗎?這個賴準總統的這個政見你們知道嗎?瞭解瞭解齁好那你們知道現在因為兩岸關係這個台客沒有到金門嘛那入客最近也還沒有開放到金門現在都還沒有開放所以金門的現在觀光產業比這個疫情期間還要慘這個是店家說的也的確是這樣子 |
transcript.whisperx[406].start |
11670.599 |
transcript.whisperx[406].end |
11690.935 |
transcript.whisperx[406].text |
請問你們在推動這個以前你們在推動這個國旅嘛觀光署也知道這個國旅的安心旅遊方案啊都會考慮到我們離島的旅遊加碼那請問這次的吸引國際觀客有沒有比照我們金門金門有沒有比照當初推動這個國旅啊我們離島要加碼不然那個國際觀客怎麼會到金門來他到台灣來還要再做分析過去就不願意啦這個這個怎麼辦咧你們的計畫在哪裡 |
transcript.whisperx[407].start |
11695.553 |
transcript.whisperx[407].end |
11716.449 |
transcript.whisperx[407].text |
我想委員這部分因為整個前瞻的預算裡頭有關吸引國際觀光客是它是整體的所以是整體的嘛整體就是包括颱風金嘛那如果金門必須沒有用委員稍微說明一下所以不管是自由行或者是團客的部分我們可以針對這樣的一個特殊訊或離島或是是因為如果金門沒有誘因 |
transcript.whisperx[408].start |
11718.43 |
transcript.whisperx[408].end |
11719.751 |
transcript.whisperx[408].text |
委員會後提供的相關加碼辦法計畫提供給本席 |
transcript.whisperx[409].start |
11733.547 |
transcript.whisperx[409].end |
11733.667 |
transcript.whisperx[409].text |
委員會主席 |
transcript.whisperx[410].start |
11758.938 |
transcript.whisperx[410].end |
11764.742 |
transcript.whisperx[410].text |
國際旅客才願意到金門去,謝謝交通部,謝謝。接著我們請經濟部,我看到你們的計畫裡頭,你們書面報告裡頭有關於推動傳統市級攤鋪升級的轉型計畫裡頭,有被凍結3000萬,那你們的報告裡頭,經濟部有提出來,你們要輔導100處的傳統市級攤鋪,位於北、中、南、東,這個4個地方,對不對?沒錯吧?我們金門在哪裡? |
transcript.whisperx[411].start |
11787.077 |
transcript.whisperx[411].end |
11787.538 |
transcript.whisperx[411].text |
有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[412].start |
11810.7 |
transcript.whisperx[412].end |
11827.657 |
transcript.whisperx[412].text |
你這個北中南東我們到底算哪裡?這個中央政府對金門永遠是有的地方算北區什麼經濟部啊,有的算南區,中華電信啊,有的算什麼?不知道,反正東西南北都有,中區,水利署是中區,中華電信是南區,這個什麼東西是北區的,國稅局是北區? |
transcript.whisperx[413].start |
11828.758 |
transcript.whisperx[413].end |
11852.745 |
transcript.whisperx[413].text |
我跟委員報告事實上我們是每一年只有3年的執行計畫嘛對每一年我們對你這個100歲有沒有我們金門離島有沒有你告訴我就好了有齁對有多少勒有包含有包含有在哪裡要去哪裡參加北東南東還要不要金門辦要去哪裡參加你告訴我如果金門有人要參加要去哪裡參加我們可以事實上我們也可以規劃到離島來做說明好那就幫我們辦一個然後幫我們金門辦一區好沒有問題沒有問題好謝謝那名額有吧是 |
transcript.whisperx[414].start |
11857.048 |
transcript.whisperx[414].end |
11880.814 |
transcript.whisperx[414].text |
有齁?有齁?好,謝謝。這個,今天那個第4次首長會議,水利署啦,這個我們已經上次也提過齁,我們自來水廠欠財政部齁,上次問過財政部,我們欠他地方建設基金2.4億,我們會欠他是因為我們把中央應該負擔的水的這個預算,我們自己來負擔,然後財政部要我們先借錢給中央,先墊付,以後他會還我們,水利署知道這件事情吧? |
transcript.whisperx[415].start |
11881.859 |
transcript.whisperx[415].end |
11897.319 |
transcript.whisperx[415].text |
知道這件事情嗎?這個13.55億是金門縣電當行政院電的,對吧?這個中央有核定說我們先電,電了後叫說你們要還我們,那現在財政部那個基金要收起來了,你們又沒有要把錢給我們,要我們要去哪裡拿勒? |
transcript.whisperx[416].start |
11897.679 |
transcript.whisperx[416].end |
11916.992 |
transcript.whisperx[416].text |
不是,當時的這個計畫依照行政院核定,主席總書室要求說建設的部分要經門縣政府來製作,營運的部分的利息負擔當然...你們要來,我們推選的部分你們要分年補貼給我們對不對?你們不但補貼不夠,而且還遲延撥款,我們今年拿到是前年我們幫你們中央政府墊的,對不對? |
transcript.whisperx[417].start |
11917.412 |
transcript.whisperx[417].end |
11946.429 |
transcript.whisperx[417].text |
我們這個每年我們都有爭取大院來支持這個預算我們金門立法院會支持你不用擔心你們經濟部怎麼可以慈嚴付款給我們呢我們每兩年的利息要找誰算財政部要跟我們收利息你們我們要找誰收包括委員因為還有包括澎湖還有連江對啦他們會爭取我爭取金門你告訴我金門你要怎麼處理自來水本來就不是地方政府的事情在寄有的這個預算裡面盡量來撥那你這個錢我們的利息要不要還我們這麼多年每一年都慈嚴付款 |
transcript.whisperx[418].start |
11948.034 |
transcript.whisperx[418].end |
11972.68 |
transcript.whisperx[418].text |
按照法定利率就可以啊?我們依照立法院審定的這個預算:所以你們應該憑預算還我們利息啊?我們要還財政部,你們要還我們啊?你們都不還我們,現在財政部在跟我們比啊?每年都有還,每年都有還每年都遲延復還,是不是事實?不是,每年都要累計前一年的平均的這個水債的部分對啦,你們是不是都晚付嘛?我們先墊,你們是不是都晚付兩年?因為他有分20到40年的這個成本來﹖是不是晚付? |
transcript.whisperx[419].start |
11973.769 |
transcript.whisperx[419].end |
11978.29 |
transcript.whisperx[419].text |
謝謝陳議員的質詢今天上午的質詢到12點半那中午休息一個小時下午1點半開始休息時間呢官員如果要休息或吃飯 |
transcript.whisperx[420].start |
12000.896 |
transcript.whisperx[420].end |
12006.381 |
transcript.whisperx[420].text |
我們樓下802會議室已經借託。好,緊接著我們請張宏祿委員質詢。不好意思,我請交通部。我請交通部陳次。陳委員。不好意思。 |
transcript.whisperx[421].start |
12028.425 |
transcript.whisperx[421].end |
12047.452 |
transcript.whisperx[421].text |
市長,我們那時候前瞻預算,其實有很多很多地方需要停車場的部分,都是前瞻預算去處理。也很感謝中央的支持,在我們板橋總共有7座停車場, |
transcript.whisperx[422].start |
12050.313 |
transcript.whisperx[422].end |
12064.704 |
transcript.whisperx[422].text |
但我要在這邊也是要說就是像我們板橋是一個非常非常需要停車場的地方我們整個新北市的統計我們現在板橋有4萬多個汽機車的停車位但 |
transcript.whisperx[423].start |
12070.928 |
transcript.whisperx[423].end |
12092.481 |
transcript.whisperx[423].text |
以整個新北市來看,我們有百萬輛的汽車,超過兩百萬輛的機車,那很多人都會去板橋,因為恰公也好,搭捷運運,搭火車,搭高鐵,所以我們板橋就是真的是非常需要停車的區位,那我想請教一下, |
transcript.whisperx[424].start |
12093.462 |
transcript.whisperx[424].end |
12104.051 |
transcript.whisperx[424].text |
那前瞻結束之後啊,那我們如果還要繼續希望有這個停車場可以蓋,是不是只能剩這個公務預算補助? |
transcript.whisperx[425].start |
12106.685 |
transcript.whisperx[425].end |
12107.325 |
transcript.whisperx[425].text |
法定人數不足 |
transcript.whisperx[426].start |
12130.816 |
transcript.whisperx[426].end |
12144.028 |
transcript.whisperx[426].text |
抱歉至於耳後前瞻的預算結束之後耳後相關是不是還有停車場的預算可來供大家來各地方政府來提出申請這部分呢我想我們交通部會去積極的來原議 |
transcript.whisperx[427].start |
12148.07 |
transcript.whisperx[427].end |
12158.744 |
transcript.whisperx[427].text |
除了公務預算之外,我們能不能提出一些誘因或鼓勵地方政府新建停車場,或是可以採取考慮BOT的方式? |
transcript.whisperx[428].start |
12161.067 |
transcript.whisperx[428].end |
12161.187 |
transcript.whisperx[428].text |
經濟部林市長 |
transcript.whisperx[429].start |
12193.737 |
transcript.whisperx[429].end |
12218.137 |
transcript.whisperx[429].text |
委員好,次長你好。我先請教一下,其實我們自來水管老舊,其實常常都會有爆管或什麼的。我也知道這幾年其實我們花了很多很多的錢在做這件事。不過這個新聞大家都有看到,我們板橋可能是比較老的城市,常常爆管。 |
transcript.whisperx[430].start |
12220.979 |
transcript.whisperx[430].end |
12244.999 |
transcript.whisperx[430].text |
那我的意思就是說,其實我們這幾年做那麼多,我們都有看到了。但像我們板橋這種特別比較老的城市,然後人口又多,那它可能的水壓什麼的這些可能會比較沒有辦法負擔。能不能說啊,這個考量一下,可以優先把板橋真的很老的水管可以先來處理。 |
transcript.whisperx[431].start |
12247.319 |
transcript.whisperx[431].end |
12264.435 |
transcript.whisperx[431].text |
謝謝委員的支持,我想我們自來水的老舊水管的太舊換新是一個很重要的工作,那您剛剛提到板橋地區,我請我們自來水公司來做更進一步的評估,那把比較老舊的部分看看能不能有機會提早來進行相關的一個太舊換新的工作。 |
transcript.whisperx[432].start |
12266.136 |
transcript.whisperx[432].end |
12292.771 |
transcript.whisperx[432].text |
除了這個之外,其實我覺得台灣也有很多啦。但我知道我們這幾年啊,花的錢已經非常非常的多了啦。不過如果跟日本,我們以東京來講啊,其實啊,我們花的錢啊,真的跟東京都來比起來,我們還是很少啦。那當然我也知道,這個財政規模不一樣。財政規模是不一樣的,我們也不能要求你們要比照東京都的水準。 |
transcript.whisperx[433].start |
12293.451 |
transcript.whisperx[433].end |
12308.764 |
transcript.whisperx[433].text |
不過這個真的是如果你報一次管報一次管你這個後續的這個成本反而增加很多這點我們應該可以考量所以我才會說像這種特別老舊的城市有特別老舊的管是不是可以幫個忙 |
transcript.whisperx[434].start |
12309.685 |
transcript.whisperx[434].end |
12321.415 |
transcript.whisperx[434].text |
是,我想我們積極地在爭取,現在也提報第2期的那個自來水的那個這個降落的改善計畫到行政,我們會積極來爭取更適當的機會來做後續的處理這樣子。好,好,那謝謝喔,謝謝,謝謝。謝謝張宏樂委員的質詢,緊接著請游浩委員質詢。 |
transcript.whisperx[435].start |
12356.256 |
transcript.whisperx[435].end |
12357.417 |
transcript.whisperx[435].text |
有請交通部次長 |
transcript.whisperx[436].start |
12374.595 |
transcript.whisperx[436].end |
12396.307 |
transcript.whisperx[436].text |
委員好市長好是那在今天的話雖然是相關預算的審查那解凍那我想說藉由這個機會那今天我也跟您要特別提一個今天我稍早的時候王宏威委員王維立委他也跟我一起有開一個記者會也是有關於重大的交通的公安議題 |
transcript.whisperx[437].start |
12397.848 |
transcript.whisperx[437].end |
12411.501 |
transcript.whisperx[437].text |
公安危機,之前高鐵有發生差點有6個人在裡面3次可能會受到電擊或成為烤肉串的事件嗎? |
transcript.whisperx[438].start |
12414.16 |
transcript.whisperx[438].end |
12441.582 |
transcript.whisperx[438].text |
委員不好意思我也是今天早上才看到這一則新聞的事那對於這個高鐵公安事件他害人真相因為那一天的話是上午那其實他那時候停駛了5分鐘那高鐵表示是因為電力異常暫時停車那事實上他在高鐵的烏日基地他那時候在進行這開關的89FC41的規定作業在進行這個維護維修那裡面有6位 |
transcript.whisperx[439].start |
12442.222 |
transcript.whisperx[439].end |
12445.904 |
transcript.whisperx[439].text |
有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[440].start |
12471.52 |
transcript.whisperx[440].end |
12486.193 |
transcript.whisperx[440].text |
那想就教一下次長,針對像現在高鐵他現在是不受立院來監督,但是交通部對於這起事件要持什麼樣的態度跟來去怎麼樣的作為來去改善這個事件? |
transcript.whisperx[441].start |
12487.25 |
transcript.whisperx[441].end |
12515.207 |
transcript.whisperx[441].text |
我想跟委員做一個報告,就是有關這個事件的一個發生,其實是臺高公司大概在4月19號也接收到相關的,這事件是在4月9號發生的。但是在4月19號有相關的檢舉案,所以臺高公司就進行了相關的徹查。那徹查之後呢,對於相關的人員是予延處,而且重申不得再犯。這是公司本身就公司治理安全上它所做的一個處理。 |
transcript.whisperx[442].start |
12516.507 |
transcript.whisperx[442].end |
12539.702 |
transcript.whisperx[442].text |
站在交通部鐵道局有關鐵道監理的立場,我們今天,其實不是在今天,其實在4月26號就已經發函請台高公司就這個事件說明。那我的了解,我們最近大概今天也會責令我們的鐵道局就這個來啟動相關的一個公安的檢查。 |
transcript.whisperx[443].start |
12540.723 |
transcript.whisperx[443].end |
12560.642 |
transcript.whisperx[443].text |
然後檢查完以後來依照檢查的結果來做相關的一個處理,謝謝。那我跟市長補充說明,那在4月9號那一天之後,其實高鐵公司他們在內部來講,他們是採取息事寧人的態度,所以說導致那個六位的人員,包括內部的一個檢舉人, |
transcript.whisperx[444].start |
12561.503 |
transcript.whisperx[444].end |
12581.469 |
transcript.whisperx[444].text |
他們變成糾結在到底是要持續做這份工作嗎?還是因為那時候高鐵是叫他們說都對外不要再提這件事情。那他們是在生命權跟他們的一個工作權中他們要做選擇。如果說今天來講高鐵它本身它是螺絲鬆動嗎?那以及說在這樣子那麼重大的一個 |
transcript.whisperx[445].start |
12582.169 |
transcript.whisperx[445].end |
12582.269 |
transcript.whisperx[445].text |
主席 |
transcript.whisperx[446].start |
12600.166 |
transcript.whisperx[446].end |
12617.252 |
transcript.whisperx[446].text |
有跟委員報告這相關的事情發生之後我們鐵道局當然也就剛才特別提到的在4月16號請臺高公司來做進一步的說明那說明之後他們會去做相關的一個實地的一個檢查或是書面的調查 |
transcript.whisperx[447].start |
12618.893 |
transcript.whisperx[447].end |
12641.611 |
transcript.whisperx[447].text |
市長,我跟你講,不只這一件,包括在酒測的部分,高鐵的列車長在26號的時候有一個報導,他是規避酒測,那到時候高鐵的講法是,他有請負責監督的調派員,還來去給他實習酒測來去了解,但是事實上,這個部分也是採取歧視寧人的態度,因為到最後, |
transcript.whisperx[448].start |
12642.672 |
transcript.whisperx[448].end |
12666.655 |
transcript.whisperx[448].text |
內部的員工也再次的跟網紅委員辦公室這邊我們今天開記者會也爆料因為到最後是這個監測員去幫這個那個列車長去進行酒測那所以說這等於就像是警察他在執勤的時候民眾喝酒了他就警察在幫他酒測一樣這個等於是這樣子的一個狀況那我想就教一下次長 |
transcript.whisperx[449].start |
12667.896 |
transcript.whisperx[449].end |
12689.675 |
transcript.whisperx[449].text |
高鐵它第一線其實在我們許多的服務商們看起來都做得很好可是在內部來講這樣的一個重大的公安危機是存在那麼高的風險甚至連列車長他如果是酒駕現在酒駕是零容忍的一個情況之下那就連去幫他調查幫他測的人他自己還可以幫他代為酒測那像這樣子的問題交通部都無法可管嗎? |
transcript.whisperx[450].start |
12691.67 |
transcript.whisperx[450].end |
12712.669 |
transcript.whisperx[450].text |
我想這樣的一個事件來講是一個很嚴重的事件而且對於公安對行車安全來講影響甚巨所以說這部分剛才我也說明過了台高公司大概也做了一些懲處而且重申是不得再犯當然他也對於他相關的這個檢查的SOP也做進一步的一個檢討 |
transcript.whisperx[451].start |
12713.53 |
transcript.whisperx[451].end |
12729.282 |
transcript.whisperx[451].text |
那在這樣的一個情況下我們的鐵道局呢也會去就他的公司裡頭有關行車安全的這一事情來做全面的一個檢查來檢視他的相關的SOP是不是有符合規定如果有相關不足的地方會要求改善 |
transcript.whisperx[452].start |
12729.662 |
transcript.whisperx[452].end |
12755.467 |
transcript.whisperx[452].text |
好那本席還是要表示今天來講高鐵的螺絲鬆動某個程度交通部要嘛積極介入不然也代表了交通部也會有責任那這樣子的一個國內大家習慣的高鐵的運輸這是非常重要的一個交通安全所以請部長、次長這邊務必一定要針對振興做個徹查跟社會大眾回應謝謝是是我們會嚴正處理謝謝優化委員的質詢請接著我們請陳秀寶委員質詢 |
transcript.whisperx[453].start |
12767.899 |
transcript.whisperx[453].end |
12776.572 |
transcript.whisperx[453].text |
請陳副主計長、衛福部理事長、環境部省次長來,請陳副理事、環境部 |
transcript.whisperx[454].start |
12783.919 |
transcript.whisperx[454].end |
12809.304 |
transcript.whisperx[454].text |
國務委員好 早安 首先請教我們陳副主席長我們中央政府的前瞻基礎建設預算第4期特別的預算案總共是2098.3億元那從112年12月30日三讀到現在已經一年四個月請問現在已經執行多少金額 我們執行率如何我們的執行率是 |
transcript.whisperx[455].start |
12812.295 |
transcript.whisperx[455].end |
12819.821 |
transcript.whisperx[455].text |
目前第4期執行率按照國發會管考的資料是95.5%那這邊再請教我們陳副主席長,課委會在113年應該有分配到的金額是2.93億元,但是到3月底都沒有分配到這個金費,請問是什麼原因? |
transcript.whisperx[456].start |
12841.259 |
transcript.whisperx[456].end |
12868.213 |
transcript.whisperx[456].text |
分配預算應該是各部會依據他的這個進度去進行分配就是說他因為我們的特別預算是他就這個計畫在這一期拿到一個總額然後這個各部會在按照他的執行進度去分配所以這個部分呢我們分配給他的是額度是在的但是是因為課額會本身按照進度是他們的他們是他們自己執行的問題喔 |
transcript.whisperx[457].start |
12869.553 |
transcript.whisperx[457].end |
12873.736 |
transcript.whisperx[457].text |
依據工程會112年底公共建設計畫預算的執行統計,列管整體經費812億元,執行經費782億元,執行率高達96.32%,成效很好的。但是要請教衛福部,4項計畫經費17億元,其中只執行10億元,執行率只有60.72%,請問是什麼原因? |
transcript.whisperx[458].start |
12899.433 |
transcript.whisperx[458].end |
12916.72 |
transcript.whisperx[458].text |
我們在前瞻這邊大概執行率需要在努力的地方是有衛福據點還有地方創生這兩個案子那因為這兩個案子其實我們的合佩率都合佩大概有超過7成5以上可是都在地方在執行當中 |
transcript.whisperx[459].start |
12917.8 |
transcript.whisperx[459].end |
12941.248 |
transcript.whisperx[459].text |
我們為了要督促地方也能夠盡快來進行相關的一個工程所以我們都有聯繫會議還有輔導團下去就是希望能夠協助地方特別是在鄉鎮在執行這個部分能夠給予更多的一個協助所以在他地方的執行的部分你們也是有盡力的在協助提供他們就是盡快的把這個進度可以趕上來所以有在做這個部分好謝謝 |
transcript.whisperx[460].start |
12942.648 |
transcript.whisperx[460].end |
12952.519 |
transcript.whisperx[460].text |
但是這邊還是要請教一下113年度其實除了我們衛福之外環境部這邊的執行預算執行率只有24.83%是什麼原因? |
transcript.whisperx[461].start |
12955.405 |
transcript.whisperx[461].end |
12955.706 |
transcript.whisperx[461].text |
跟委員報告 |
transcript.whisperx[462].start |
12974.738 |
transcript.whisperx[462].end |
12981.002 |
transcript.whisperx[462].text |
有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[463].start |
12999.417 |
transcript.whisperx[463].end |
12999.817 |
transcript.whisperx[463].text |
有請杜次 |
transcript.whisperx[464].start |
13027.034 |
transcript.whisperx[464].end |
13033.559 |
transcript.whisperx[464].text |
市長請教根據工程會第113年第一季的公共建設計畫執行的統計農業部這邊預算執行率只有6.85%是淨培莫挫請問市長是什麼原因 |
transcript.whisperx[465].start |
13043.547 |
transcript.whisperx[465].end |
13057.87 |
transcript.whisperx[465].text |
這個部分有些是因為工程發包上面有一些延後那這個部分我們跟不管是我們自己或是跟各個地方政府其實都有在追進度其中還有總苗高科技核心基地的這個創產計畫在113年度的經費應該是3.63億元第1屆執行目標應該要有18%但是執行率是0 |
transcript.whisperx[466].start |
13068.624 |
transcript.whisperx[466].end |
13069.564 |
transcript.whisperx[466].text |
中央政府預算凍結書面報告案4案。 |
transcript.whisperx[467].start |
13088.328 |
transcript.whisperx[467].end |
13088.648 |
transcript.whisperx[467].text |
委員會主席 |
transcript.whisperx[468].start |
13109.562 |
transcript.whisperx[468].end |
13109.682 |
transcript.whisperx[468].text |
經濟部林次長 |
transcript.whisperx[469].start |
13133.226 |
transcript.whisperx[469].end |
13154.645 |
transcript.whisperx[469].text |
請教您關於攸關民生的議題立法院在前天以59比50通過了國民黨團的凍漲電價案那對此呢經濟部你們是表示尊重國會但是無論經濟部或是台電都需要依法守法就是依照電業法遵守這個電價審議機制的結果那麼這邊要請教喔4月份的電價是不是照常會調漲 |
transcript.whisperx[470].start |
13155.886 |
transcript.whisperx[470].end |
13168.273 |
transcript.whisperx[470].text |
是,我們其實4月份的一個這個電價審議目前已經開始在執行這個調漲的工作。那未來如果說再有國際原料再有成本這個上漲的問題,台電這邊會先優先考慮動漲還是還是一樣依照這個電業法? |
transcript.whisperx[471].start |
13172.495 |
transcript.whisperx[471].end |
13174.176 |
transcript.whisperx[471].text |
主席請再給我半分鐘我盡快的把這個議題講完 |
transcript.whisperx[472].start |
13193.103 |
transcript.whisperx[472].end |
13212.757 |
transcript.whisperx[472].text |
在同一天還有另外一個表決案,就是我們章濱工業區的這個金鼎焚化爐這個BOT案。那當時也是以58比48通過了民眾黨團的這個例子停止在章濱工業區興建金鼎焚化爐這個案子。那在這個決議之後呢,金鼎案後續會如何處理?經濟部這邊你們有什麼規劃? |
transcript.whisperx[473].start |
13214.318 |
transcript.whisperx[473].end |
13232.414 |
transcript.whisperx[473].text |
我們的這個處理一定是依照這個契約的規範來進行。契約的規範裡面如果有違反這個契約規範,我們就按照相關的規定來處理這些事情。那是不是把你們之後會如何處理的這個你們所研議的結果一份報告給我辦公室可以嗎?可以。 |
transcript.whisperx[474].start |
13232.674 |
transcript.whisperx[474].end |
13234.215 |
transcript.whisperx[474].text |
主席好我想先請一下主席總處陳副主席長請 |
transcript.whisperx[475].start |
13268.128 |
transcript.whisperx[475].end |
13281.133 |
transcript.whisperx[475].text |
副局長因為今天在處理我們中央政府前瞻基礎建設第4期特別預算還有那個中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算那我在想說 |
transcript.whisperx[476].start |
13282.553 |
transcript.whisperx[476].end |
13307.35 |
transcript.whisperx[476].text |
因為今天要處理特別預算的時候我就先稍微整理了一下就是我們看到112年度我們要辦理政府辦理特別預算總共大概有五項包括中央政府新式戰機採購特別預算然後包括了那個特殊傳染性疾病就是我們COVID-19相關的第一次到第三次的預算還有原本特別預算 |
transcript.whisperx[477].start |
13308.527 |
transcript.whisperx[477].end |
13335.694 |
transcript.whisperx[477].text |
還有那個幼少年COVID-19之後的特別預算第4次的追加預算這大概都是之前的那還有一個海空戰力特別提升計畫的抬高特別預算那這都是我們中央政府在做的112年度涉及的5項預算之的其中3項那我要特別講的狀態就是說因為整個蔡政府這幾年下來的時候她處理的特別預算非常非常的多 |
transcript.whisperx[478].start |
13336.774 |
transcript.whisperx[478].end |
13352.863 |
transcript.whisperx[478].text |
我們認為對於整個財政機率已經有受到一些影響那對於這幾年來我們的整個舉債的金額大概已經要到我們以2022年整個全國GDP總額22.67兆幾乎佔了一成因為我們看到整個舉債數當中的時候是在2兆2586億 |
transcript.whisperx[479].start |
13361.788 |
transcript.whisperx[479].end |
13390.574 |
transcript.whisperx[479].text |
對於這樣的一個特別預算的運用,請問一下副主席長這邊有沒有什麼樣子的看法?我們要怎麼樣來調整會比較妥適?根據委員報告,就是說基本上我們特別預算一定是最近所提出來都是先有一個條例,那接著我們再來編列預算,所以基本上在這個條例的審查過程已經確定了有這個需求,所以我們來提列這個特別預算。那至於這個有關債務的部分,實際上 |
transcript.whisperx[480].start |
13392.335 |
transcript.whisperx[480].end |
13392.375 |
transcript.whisperx[480].text |
主席 |
transcript.whisperx[481].start |
13410.254 |
transcript.whisperx[481].end |
13410.354 |
transcript.whisperx[481].text |
陳志全議員 |
transcript.whisperx[482].start |
13431.473 |
transcript.whisperx[482].end |
13451.739 |
transcript.whisperx[482].text |
市長好,因為前瞻計畫第1期跟第2期特別預算已經分別超過預算執行期限4年到2年,那很多計畫也都還沒有執行完均。那第3期特別預算辦理的分支計畫當中,超過6成沒有在特別預算執行期限完成,其中包括我們新竹市的大車站計畫, |
transcript.whisperx[483].start |
13453.099 |
transcript.whisperx[483].end |
13481.261 |
transcript.whisperx[483].text |
在第二期第三期都有特別預算編列計畫經費結果執行都是零那這邊的時候我們把整個前瞻計畫這邊的第一期第二期第三期當中的時候未完成的數量它持續的增加持續的增加那持續增加的原因的時候我覺得有一個很大的因素是在於地方政府也籌不出那麼多的錢我們看到去年七月中的 |
transcript.whisperx[484].start |
13483.343 |
transcript.whisperx[484].end |
13498.615 |
transcript.whisperx[484].text |
統計數字看到整個前瞻計畫的餅很大一旦看起來很充足可是暗藏了很多的問題按照前瞻計畫8000多億有七成都是軌道建設合併經費5486億元中央政府補助2203億元其他地方自籌款要高達3283億元 |
transcript.whisperx[485].start |
13509.684 |
transcript.whisperx[485].end |
13537.031 |
transcript.whisperx[485].text |
這麼多的一個部分地方自籌費用其實是沒有辦法去因應的所以我剛剛除了指出了新竹大車站計畫它的質詢率是零之外的時候還包括了台中捷運綠線那麼大台中地區山海線還有台南鐵路立體化的部分恆春觀光鐵道計畫的部分質詢率也都是零那這樣的一個情況你覺得主要因素是什麼 |
transcript.whisperx[486].start |
13539.183 |
transcript.whisperx[486].end |
13565.12 |
transcript.whisperx[486].text |
剛才委員特別提到的幾個計畫其實它目前都是在相關的一個要嘛是可行性的研究的階段它相關的議題還需要釐清所以讓它後續進行中規或者是建設的計畫的期程有所延誤那這些其實在這個前瞻裡頭也大概都是編列可行性的相關的經費那這一部分我們會盡量來協助地方政府 |
transcript.whisperx[487].start |
13566 |
transcript.whisperx[487].end |
13567.341 |
transcript.whisperx[487].text |
提出可行的方案 |
transcript.whisperx[488].start |
13586.627 |
transcript.whisperx[488].end |
13604.923 |
transcript.whisperx[488].text |
相關計畫非常龐大,然後地方政府負擔非常重。我稍微看了一下,在第1期到第3期的時候,地方政府自籌的經費大概已經編列出1514億,不過大概只佔到中央合定數的33%,大概三分之一左右,還不到。 |
transcript.whisperx[489].start |
13605.883 |
transcript.whisperx[489].end |
13620.054 |
transcript.whisperx[489].text |
地方政府財政非常捉襟見軸,在前瞻第1期至第3期分支計畫都還沒有完整,比例越來越高。請教次長,我們這邊有沒有辦法提高中央各項經費的負擔比例,來減輕地方自籌的壓力? |
transcript.whisperx[490].start |
13624.217 |
transcript.whisperx[490].end |
13632.565 |
transcript.whisperx[490].text |
跟委員報告這個地方在經濟上的一個負擔這個我們是有看到但是每一個建設計畫裡頭他其實要分兩塊來看一個是有關這個自償的部分所以要是能夠計畫的自償越高那當然 |
transcript.whisperx[491].start |
13639.651 |
transcript.whisperx[491].end |
13668.466 |
transcript.whisperx[491].text |
相對大家在分擔的比例上就會那個減輕那另外一個其實各縣市政府他的這個也會依財力分級來做不同樣的一個負擔所以剛才委員講到三分之一是一個Normal平均值但是你可以看到到各縣市的計畫還是會依照他不同的財力有所處理市長因為主席站起來了我想針對新竹大車站計畫部分在跟本辦公室的時候做更詳細的一個說明是因為我們特別到目前為止他整個執行率全部都是零 |
transcript.whisperx[492].start |
13668.786 |
transcript.whisperx[492].end |
13674.311 |
transcript.whisperx[492].text |
好,是是,這一部分我們來看怎麼樣來跟委員做說明,謝謝。好,謝謝鄭正賢委員的諮詢,緊接著我們請羅廷偉委員諮詢。好,謝謝主席。麻煩主席衛福部李立芬次長。衛福部李次。 |
transcript.whisperx[493].start |
13699.037 |
transcript.whisperx[493].end |
13720.988 |
transcript.whisperx[493].text |
市長好我想台灣目前有幾個結構性的問題有迫切需要解決的一個必要當然其中一個最重要就是人口萎縮少子化以及台灣人越來越長壽但人口卻越來越減少導致現在人口正在結構正在快速的一個老化而人口萎縮所造成的效益這些相當明顯我們最近教育文化委員會在探討的許多學校 |
transcript.whisperx[494].start |
13721.468 |
transcript.whisperx[494].end |
13750.567 |
transcript.whisperx[494].text |
遭不到學生退場而大學生現在也開始面臨學生註冊人數下滑更具威脅性的是臺灣的勞動力預計在2065年減一半有860萬只剩下這樣子的人口那連人口數的一半都不到這絕對會削弱臺灣的經濟成長以及再者人口高度的老化能負擔老年人的退休金相關的體制健保體系也都會隨著年輕人越來越少開始 |
transcript.whisperx[495].start |
13754.129 |
transcript.whisperx[495].end |
13773.816 |
transcript.whisperx[495].text |
政府在前瞻怎麼去因應這個少子化?我們之前有看到這個所謂的育兒百寶箱,當然有被罵有去做改善,那我們當然是樂見。但是前瞻主要花了不少的經費在蓋這個硬體如公共托育的設施,目前這些公共托育設施完工幾處?幾處會完工? |
transcript.whisperx[496].start |
13777.168 |
transcript.whisperx[496].end |
13777.668 |
transcript.whisperx[496].text |
法定人數不足 |
transcript.whisperx[497].start |
13800.166 |
transcript.whisperx[497].end |
13800.486 |
transcript.whisperx[497].text |
主席主席 |
transcript.whisperx[498].start |
13816.138 |
transcript.whisperx[498].end |
13816.798 |
transcript.whisperx[498].text |
2021年新生兒數153,800 |
transcript.whisperx[499].start |
13833.245 |
transcript.whisperx[499].end |
13860.405 |
transcript.whisperx[499].text |
2022年新生數13.8萬2023年的新生額數是13.5萬次長在前瞻計畫下2024年你預估出生的新生額要多少?應該是逐漸往下啦看得出來這樣的趨勢啦但是我們要講的是新生額數的逐年下降代表的前瞻不一定有效果拼命增加疫情測試是不是能夠解決少子化的問題我們應該要反向的再來探討 |
transcript.whisperx[500].start |
13861.265 |
transcript.whisperx[500].end |
13885.541 |
transcript.whisperx[500].text |
雖然地方很猛的一直在爭取這些預算那我想每一個縣市首長都希望把它當成一個政績這也是一個趨勢我能夠理解但是作為我們主管機關也要因應未來我們不是只是說錢不夠再補錢我們繼續蓋我們是不是應該變相思考我們一直努力蓋但是還是一直往下是不是有問題所以我還是要講 |
transcript.whisperx[501].start |
13886.827 |
transcript.whisperx[501].end |
13901.8 |
transcript.whisperx[501].text |
這些硬體設施真的能夠讓我們解這個藍莓之急嗎?如果我們蓋了這個東西兩三年後完工還是我們直接生一個孩子給一百萬這件事情有總統候選人也開出相關的政見過我們是不是應該去做一個探討? |
transcript.whisperx[502].start |
13902.941 |
transcript.whisperx[502].end |
13918.011 |
transcript.whisperx[502].text |
跟委員報告,其實我們看到其他國家的經驗,就是提供公共化的評價優質的這樣一個托育的服務確實是可以來提高。提高,但是目前看起來有限。我沒有說不對,但是我說是不是能夠兩者並軌進行,兩者一起探討。 |
transcript.whisperx[503].start |
13921.954 |
transcript.whisperx[503].end |
13922.014 |
transcript.whisperx[503].text |
當然啦! |
transcript.whisperx[504].start |
13950.714 |
transcript.whisperx[504].end |
13965.603 |
transcript.whisperx[504].text |
這個還是不夠啦,我們一直希望能夠再增加育兒津貼相關的一些補貼啦,這會後我再繼續跟你爭取喔。但第二個,我要跟你坦白講,我的家人有失智症的一個前夫妻喔,我們也正在追蹤當中,所以我們很關注這一類的議題。 |
transcript.whisperx[505].start |
13966.583 |
transcript.whisperx[505].end |
13982.484 |
transcript.whisperx[505].text |
而失智症帶來所有家庭的一些相關因子因素我們都不再說了影響有多深你自己也都很清楚但是我原本要請你談失智症照顧的一個願景但是現在時間也不夠但是我要講的是日本去年將失智症列為國家級的應對目標 |
transcript.whisperx[506].start |
13983.605 |
transcript.whisperx[506].end |
13998.403 |
transcript.whisperx[506].text |
投資了將近200億日元,約14億台幣。當然我也要講,我們用在失智的預算編列2022年約50億左右。但是預算的配置狀況為何,前端的預防,以及花費的多少的比例, |
transcript.whisperx[507].start |
13999.003 |
transcript.whisperx[507].end |
14017.689 |
transcript.whisperx[507].text |
還有後端的醫療照護花費的多少比例,這個其實我們還是希望能夠再去做相對應的一個檢討。失智症的輕中重度在分級管理衛福部的整合,我們覺得在這個部分還要再加強不同失智症的類型,我們該怎麼樣去照顧這個家庭的需求。 |
transcript.whisperx[508].start |
14018.109 |
transcript.whisperx[508].end |
14043.888 |
transcript.whisperx[508].text |
各地施治政還有社會資源的差異性都不同衛福部有沒有針對這樣子部分去做通盤檢討去做相對應的一個困境做調查我覺得這個部分希望衛福部能夠加強啊2009年開始施治政已納入安寧療護的一個健保警部但是我還是要問現在我們納入以後我們目前國內負責照顧施治的人力是否足夠你覺得夠嗎 |
transcript.whisperx[509].start |
14046.498 |
transcript.whisperx[509].end |
14046.878 |
transcript.whisperx[509].text |
我希望 |
transcript.whisperx[510].start |
14074.915 |
transcript.whisperx[510].end |
14085.361 |
transcript.whisperx[510].text |
看到實際的具體的一個方向讓我知道啦以國外相比我們的專業人力失智照顧的比例喔我是覺得目前沒有看到具體的更好的一個方向啦我希望這個部分要加強謝謝 |
transcript.whisperx[511].start |
14100.218 |
transcript.whisperx[511].end |
14124.825 |
transcript.whisperx[511].text |
謝謝主席。有請經濟部林次長。經濟部林次,請。委員好。次長,感謝我們行政院跟經濟部一直協助屏東縣政府在這個所謂的一個水資源的一個建設上面。我想屏東縣的水資源相當的豐沛。 |
transcript.whisperx[512].start |
14125.365 |
transcript.whisperx[512].end |
14125.946 |
transcript.whisperx[512].text |
大潮州人工湖第一期計畫 |
transcript.whisperx[513].start |
14142.765 |
transcript.whisperx[513].end |
14163.443 |
transcript.whisperx[513].text |
那所以在這兩年所謂發生這個全國大旱的時候其實也幫忙了我們南台灣做一個很好的一個調度那但是很遺憾目前我們提出的第二期的一個人工湖的計畫那預計每年可以預注1.5億噸的水來補充我們所謂的一個地下水層那我想這個 |
transcript.whisperx[514].start |
14164.764 |
transcript.whisperx[514].end |
14164.884 |
transcript.whisperx[514].text |
委員會主席 |
transcript.whisperx[515].start |
14185.745 |
transcript.whisperx[515].end |
14211.077 |
transcript.whisperx[515].text |
水資源作業基金審議會審查有條件通過那要請屏東縣政府做一些強化那之後我們會報行政院來做審議市長我想本席還是要再提醒因為這個案子已經拖了很久那當然這個不是純粹只是為了屏東縣的用水而是整個南台灣的一個水資源一個調度的計畫讓我們也期待經濟部甚至行政院趕快來核定 |
transcript.whisperx[516].start |
14211.917 |
transcript.whisperx[516].end |
14239.573 |
transcript.whisperx[516].text |
那其實在這個大潮州人工五還沒有建立之前之前就有發生過所謂屏東跟高雄對於這個水資源的一個源頭的一個爭搶的一個問題那甚至因為這個供應到高雄端造成農民的這個深水井抽不到水那請教經濟部針對我們這個水資源的分配有沒有一個比較好的一個協調機制不要造成這個百姓的這個紛爭這個年年上演 |
transcript.whisperx[517].start |
14241.474 |
transcript.whisperx[517].end |
14261.943 |
transcript.whisperx[517].text |
是。我想謝謝委員。我想這個部分我們經濟部水利署這邊也積極建立相關的一個這個溝通的一個還有這個協調的平台。那目前已經有明定這兩個這個我們縣市就這相關的一個這個水權的一個運用有一個建立一個明確的機制,會依這個機制來進行相關的一個應用。 |
transcript.whisperx[518].start |
14265.778 |
transcript.whisperx[518].end |
14282.267 |
transcript.whisperx[518].text |
市長我想本席還是要再提醒因為這個屏東縣因為這個本身以往都是用使用地下水那但是因為地下水必須也要有一定的這個益處那所以高雄因為對於高雄市來講他們的本身的水源不夠 |
transcript.whisperx[519].start |
14282.967 |
transcript.whisperx[519].end |
14311.241 |
transcript.whisperx[519].text |
所以屏東是一個很重要的一個供水的一個地區那這個供水的過程裡面包含現在我們在整幾個鄉鎮有挖了所謂的一個大管的一個供水的系統也造成一些交通的不便甚至影響造成百姓擔心這個以後後續水源的問題那這部分我想我們必須要跟自流水公司好好的討論一下怎麼樣來做一個水源的一個調度不要變成水到了高雄之後屏東沒有水可用 |
transcript.whisperx[520].start |
14312.001 |
transcript.whisperx[520].end |
14322.257 |
transcript.whisperx[520].text |
這部分次長這邊能不能說明一下。好,我想委員剛剛提醒的部分我會請我們水利署以及自來水公司這邊依照委員剛剛所提醒的地方來做更適當的一個這個協調處理。 |
transcript.whisperx[521].start |
14325.023 |
transcript.whisperx[521].end |
14349.614 |
transcript.whisperx[521].text |
另外最後一個問題我想還是要請教這個次長。我想這個自來水這個是我們這個現在目前國人都繼續需要的一個水源。那本席講一個很辛酸的一個問題。根據我們調閱的資料,其實我們現在幾乎每個縣市的普及率都已經到9成。那唯獨屏東到上個月才出破7成。 |
transcript.whisperx[522].start |
14350.154 |
transcript.whisperx[522].end |
14370.684 |
transcript.whisperx[522].text |
那我想當然這個水利署也好或是自來水公司我們都一直要求要增加普及率但是因為我們的幅員遼闊那因為地形的關係也有很多的偏鄉那這部分水利署還有我們的經濟部怎麼樣來增強我們增加我們屏東的這個普及率的一個計畫 |
transcript.whisperx[523].start |
14372.604 |
transcript.whisperx[523].end |
14382.733 |
transcript.whisperx[523].text |
謝謝委員。我想屏東自來水的普及,我們這幾年來加速的在執行。上個月我剛好也到屏東區跟我們屏東縣州縣長一起來啟動我們現在突破七成這樣的一個慶祝活動。 |
transcript.whisperx[524].start |
14387.498 |
transcript.whisperx[524].end |
14404.583 |
transcript.whisperx[524].text |
現場也有提到相關希望我們能夠加速來提高屏東的自來水的一個補給率我已經請我們自來水公司李董事長好好地評估我們怎麼加速相關的工程的一個這個處理因為這個必須要有一個適當的工程能量能夠進來才能加速來進行 |
transcript.whisperx[525].start |
14405.943 |
transcript.whisperx[525].end |
14427.858 |
transcript.whisperx[525].text |
另外就是我還是要提醒一下經濟部這邊除了這個自來水普及之外其實這個我們自來水公司這個水管老舊不洗老水的問題那加上我們的維修量能不足造成我們包含恆春地區一些偏遠地區老水老幾禮拜都沒人來修理這個問題我們都有反應過了是不是請水公司跟經濟部這邊也加強要求我們這個維護的一個品質防漏的問題好我們一定會加強要求謝謝 |
transcript.whisperx[526].start |
14434.724 |
transcript.whisperx[526].end |
14437.247 |
transcript.whisperx[526].text |
好,謝謝徐務國委員的諮詢。請接著我們請黃秀芳委員諮詢。謝謝主席。我們先請經濟部次長。有請您次。 |
transcript.whisperx[527].start |
14454.551 |
transcript.whisperx[527].end |
14479.371 |
transcript.whisperx[527].text |
委員好市長好市長我先就我們剛剛許委員所講的無自來水地區的這個部分因為每一年都所有無自來水地區的都要經過評比嘛那很多時候都是因為你們經費不足所以我是不是可以要求就是針對這些無自來水地區的這個他們只要有申請那 |
transcript.whisperx[528].start |
14480.151 |
transcript.whisperx[528].end |
14480.431 |
transcript.whisperx[528].text |
主席主席 |
transcript.whisperx[529].start |
14494.497 |
transcript.whisperx[529].end |
14509.403 |
transcript.whisperx[529].text |
好,謝謝,我想我們水利署也透過很多很多管道在爭取,我們會來把經費的那個爭取列為第一要務,讓這樣的工作能夠做更到位。是,就是無自來水,或者是這個接管率很低的地方,我覺得應該 |
transcript.whisperx[530].start |
14511.063 |
transcript.whisperx[530].end |
14536.085 |
transcript.whisperx[530].text |
應該能夠讓所有的民眾我覺得這個是民生必須的這個是最基本的基礎建設所以我希望就是說未來經濟部這邊應該在預算上面應該要再多增加一點讓需要的人就申請不要說再經過評比我覺得經過評比這個一評比之後可能就是又被打回票有的一申請經過了四五年也都沒有通過我們來努力 |
transcript.whisperx[531].start |
14536.966 |
transcript.whisperx[531].end |
14541.546 |
transcript.whisperx[531].text |
我們來努力。好,請回。接下來請交通部陳次長。 |
transcript.whisperx[532].start |
14548.889 |
transcript.whisperx[532].end |
14567.411 |
transcript.whisperx[532].text |
市長好市長我在今年2月份的時候在這個總質詢的時候有詢問我們陳院長有關彰化的鐵路高架還有台中捷運綠線延伸到彰化那當時我有請這個院長還有我們的這個部長交通部長 |
transcript.whisperx[533].start |
14568.913 |
transcript.whisperx[533].end |
14591.132 |
transcript.whisperx[533].text |
針對我們這兩件最重大的交通建設是不是可以在每三個月讓我們知道整個進度如何那這個彰化的鐵路高架到現在從開始計畫到現在現在目前是在進入綜合規劃那綜合規劃我看到這個一直停滯不前 |
transcript.whisperx[534].start |
14593.305 |
transcript.whisperx[534].end |
14613.098 |
transcript.whisperx[534].text |
已經經過好幾年,從我當議員,然後當立委,立委已經第三屆了,那還是在這邊打轉。我是不是可以請教到底是什麼樣的原因,或者是未來我們交通部這邊要怎麼去協助地方政府來中央跟地方一起合作,趕快促成我們彰化鐵路高架。 |
transcript.whisperx[535].start |
14613.698 |
transcript.whisperx[535].end |
14641.325 |
transcript.whisperx[535].text |
是,我想跟委員做一個說明,剛才委員有特別提到說每3個月給委員相關的進度這部分我想我們鐵道局可以來配合辦理,這不是問題。那另外特別提到這個有關造化式鐵路高架的這個問題,其實真正的問題還是機場的位置那個區位的問題要在哪裡,這一部分就基地的位置跟軌道數目前還沒有達成共識。 |
transcript.whisperx[536].start |
14642.205 |
transcript.whisperx[536].end |
14662.657 |
transcript.whisperx[536].text |
那這一部分呢,我們鐵道局會在明天,會邀集相關單位,包含台鐵、彰化縣政府,大家共同來討論,希望盡快有一個結果,然後讓這個綜合規劃可以順利的往下走。好,當然就是說,地方會有地方的考量,地方政府會有一些考量,也許就是說,我們這個檢修廠的 |
transcript.whisperx[537].start |
14665.339 |
transcript.whisperx[537].end |
14666.399 |
transcript.whisperx[537].text |
主席主席主席 |
transcript.whisperx[538].start |
14687.808 |
transcript.whisperx[538].end |
14689.389 |
transcript.whisperx[538].text |
這部分確實有它一定的難度。 |
transcript.whisperx[539].start |
14714.489 |
transcript.whisperx[539].end |
14734.251 |
transcript.whisperx[539].text |
我們交通部相關單位,包含台鐵公司,因為影響它以後的調度跟營運,它也提供了一些相關的看法。明天我特別提到說,鐵道局會邀請這些相關的單位,大家共同來討論,看是不是能夠如委員講的,是不是有一個方向,繼續往下走。 |
transcript.whisperx[540].start |
14734.931 |
transcript.whisperx[540].end |
14736.113 |
transcript.whisperx[540].text |
台中捷運綠線延伸到彰化 |
transcript.whisperx[541].start |
14749.605 |
transcript.whisperx[541].end |
14749.725 |
transcript.whisperx[541].text |
主席 |
transcript.whisperx[542].start |
14764.665 |
transcript.whisperx[542].end |
14792.675 |
transcript.whisperx[542].text |
那也都一直都沒有什麼進展那我也在這邊也要求就是說交通部跟地方政府應該是要同心協力趕快將這個台中捷運綠線延伸到彰化當然這個不只延伸到彰化另外一段是延伸到台中的大坑所以我希望就是說交通部這邊應該是要跟地方政府充分的合作那地方的需求或者是需要排除的問題也希望交通部這邊來協助 |
transcript.whisperx[543].start |
14795.829 |
transcript.whisperx[543].end |
14817.251 |
transcript.whisperx[543].text |
委員報告,委員剛剛也特別提到,有關那個應該是捷運綠線,台中的捷運綠線的延伸,不管是往這個往北或往南,往南就是到委員的這個帳劃地區,那這部分他所遇到的問題,大概在這個這一段期間,大家也都釐清的有一定的瞭解,那這部分的我想也是一樣,我們會請鐵道局跟地方政府, |
transcript.whisperx[544].start |
14817.611 |
transcript.whisperx[544].end |
14823.133 |
transcript.whisperx[544].text |
我希望就是說中央跟地方一起合作將這個地方引頸期盼的重大建設能夠儘速來進行而不是一拖拖了一二十年還是在原地打轉 |
transcript.whisperx[545].start |
14845.481 |
transcript.whisperx[545].end |
14849.102 |
transcript.whisperx[545].text |
謝謝黃修芳委員的諮詢。我們最後請郭育淺委員諮詢。謝謝主席。有請教育部。有請教育部留持。 |
transcript.whisperx[546].start |
14873.306 |
transcript.whisperx[546].end |
14893.307 |
transcript.whisperx[546].text |
我想其實我們知道前瞻計畫的項目很多那最重要的其實跟教育部有關的我覺得在我們一些體育的賽事的場合那也都有這樣子的一個投資跟我們一個整個所有設施跟一個目標希望就是在這些場合當中我們可以看到更國際化的一個狀況 |
transcript.whisperx[547].start |
14894.988 |
transcript.whisperx[547].end |
14908.773 |
transcript.whisperx[547].text |
我今天就桃園樂天棒球場優化改善的一個工程來提出一些我個人的一些問題了。我想在整個所有的教育部你們在等於說在 |
transcript.whisperx[548].start |
14910.214 |
transcript.whisperx[548].end |
14931.757 |
transcript.whisperx[548].text |
合法或者是在整個所有的監管的一個過程當中然後跟地方政府的權責的部分到底是怎麼樣去分就是我們教育部難道是這個優化的一個經費撥下去之後然後最後其實就交給地方政府他們給你們什麼然後你們就照單全收還是說其實我們在管理跟查核的他們的工程的進度的部分 |
transcript.whisperx[549].start |
14932.277 |
transcript.whisperx[549].end |
14954.361 |
transcript.whisperx[549].text |
是有一些些落差,包含其實我們就是體育署這邊回應給我們的部分,就是說只有在15%到80%這個部分我們辦理工程的品質的一個查核。那我想問的是,81%之後呢,難道就直接到最後的決算、決案、結案,然後我們的教育部才知道嗎? |
transcript.whisperx[550].start |
14955.658 |
transcript.whisperx[550].end |
14984.678 |
transcript.whisperx[550].text |
公務員報告他基本上是說在那個在我們大概在實際工程進度58%的時候那時候有做一次工程品質查核那次工程品質查核查分數是81分但是也有40項缺失事項讓他們改善那在這之後並不是直接因為他基本上他竣工他3月29號申報竣工之後還是有經過中子聯盟場看跟驗收然後測試賽 |
transcript.whisperx[551].start |
14985.739 |
transcript.whisperx[551].end |
14986.239 |
transcript.whisperx[551].text |
我們大概是依照這樣一個過程, |
transcript.whisperx[552].start |
14990.805 |
transcript.whisperx[552].end |
15016.178 |
transcript.whisperx[552].text |
因為我收到的這份報告這個也蠻奇妙的因為這個報告應該是在3月中就是整理過後然後4月整理然後我們拿到的這份這個報告但是這個報告應該是3月份的部分你們的一些報告的內容但是報告上面直接就寫了已完工這個部分是不是在時間點有一個很大的一個落差 |
transcript.whisperx[553].start |
15018.188 |
transcript.whisperx[553].end |
15021.772 |
transcript.whisperx[553].text |
關於您剛有特別提到就是在缺點跟優點的部分其實我們有做了一個 |
transcript.whisperx[554].start |
15037.261 |
transcript.whisperx[554].end |
15038.221 |
transcript.whisperx[554].text |
有關教育部主管預算凍結書面報告案。 |
transcript.whisperx[555].start |
15061.309 |
transcript.whisperx[555].end |
15061.969 |
transcript.whisperx[555].text |
公文報告這比較細的我們能不能請體育署來回答?好來請 |
transcript.whisperx[556].start |
15084.771 |
transcript.whisperx[556].end |
15104.644 |
transcript.whisperx[556].text |
跟委員報告,那個3月以後去進行工程查核的時候,的確委員針對這個部分有提出39項加1項,總共40項的缺失,要市政府這邊來做一個改善。裡面大部分的,它缺失比較多的項目,應該就是這些書圖、表件,它資料呈現的比較不齊全。 |
transcript.whisperx[557].start |
15106.185 |
transcript.whisperx[557].end |
15125.685 |
transcript.whisperx[557].text |
另外,限地看起來的話,應該是外野的地平這部分也有一些缺失,還有一些漏水的部分要做一個改善。所以比較看起來比較嚴重的,比較嚴重應該還是限地這個地平的改善。不過因為我們相關的一個工程查核完了之後,會把查核的意見給市政府。 |
transcript.whisperx[558].start |
15127.006 |
transcript.whisperx[558].end |
15151.537 |
transcript.whisperx[558].text |
市政府針對這些缺失要逐項逐項的回復改善的一個情況。市政府這邊也在上個禮拜有把相關的一個缺失改善的情形有報到體育署。署裡面這邊也有先請委員這邊先整個先進行那個那個核對。目前看起來是之前的一些缺失的一個情況,他們是已經有完成改善了。 |
transcript.whisperx[559].start |
15152.097 |
transcript.whisperx[559].end |
15165.493 |
transcript.whisperx[559].text |
所以我們大概在近期的時候會正式核備它改善的一個情況。所以改善的情況的一些最新的資訊目前還在整理當中嗎?對。因為這個地方我們看到它的缺點有39項,它的優點32項,但是總缺點的扣計的點數是0。 |
transcript.whisperx[560].start |
15171.431 |
transcript.whisperx[560].end |
15188.303 |
transcript.whisperx[560].text |
因為這個案子後來是沒有被扣分,作為工程查核來講的話是還OK的,然後查核是加等。好,那我想這個部分就是關於查核,實地的查核。這部分我們會來監督,持續來監督。其實我們真的不是只有前面的15%到80%,其實有100%。 |
transcript.whisperx[561].start |
15192.506 |
transcript.whisperx[561].end |
15192.726 |
transcript.whisperx[561].text |
法定人數不足 |
transcript.whisperx[562].start |
15217.254 |
transcript.whisperx[562].end |
15222.063 |
transcript.whisperx[562].text |
謝謝郭育群委員的質詢,我們今天上午的會議就到這邊結束,下午一點半繼續開會,休息。 |
transcript.whisperx[563].start |
17947.782 |
transcript.whisperx[563].end |
17964.227 |
transcript.whisperx[563].text |
好我們繼續開會請大家肅靜按鈴好我們繼續開會請大家就位肅靜接著我們請鄭天才委員鄭天才委員鄭天才委員鄭天才委員不在接著我們請武力法委員質詢 |
transcript.whisperx[564].start |
17975.776 |
transcript.whisperx[564].end |
17985.562 |
transcript.whisperx[564].text |
謝謝主席。有請經管會、財政部、園民會、農業部。沒有經管會。也沒有財政部。園民會。還有內政部。 |
transcript.whisperx[565].start |
18006.854 |
transcript.whisperx[565].end |
18034.761 |
transcript.whisperx[565].text |
好我在這個會期起初3月4號跟3月7號那分別呢有質詢過經管會跟財政部有關原保地貸款的這個議題那為什麼關心這個問題因為這是原住民多年來的一個訴求跟陳情因為在我們的原保地來講 |
transcript.whisperx[566].start |
18036.442 |
transcript.whisperx[566].end |
18036.502 |
transcript.whisperx[566].text |
委員會主席 |
transcript.whisperx[567].start |
18046.687 |
transcript.whisperx[567].end |
18069.072 |
transcript.whisperx[567].text |
那麼如果以價錢來看的話,一般林地呢,他們是採取市場的建價,那原保地都有所謂的公告限值,那到底可以帶多少呢?一樣的面積,可能一般林地是400萬,那原保地呢,就是估起來大概是160。那為什麼會這樣?所有的銀行都會告訴我們一件事, |
transcript.whisperx[568].start |
18069.992 |
transcript.whisperx[568].end |
18089.197 |
transcript.whisperx[568].text |
因為依據《三保條例》第37條第二項,它有提到這個移轉以原住民為限,所以讓大家都覺得這個因為有受到限制,流通性不佳,所以承待的意願就不高。 |
transcript.whisperx[569].start |
18090.217 |
transcript.whisperx[569].end |
18114.171 |
transcript.whisperx[569].text |
那麼這個部分就是沒有這個貸款意願也就罷了他們也提到原保地的建架很困難那或許可以作為一個理由啦所以呢我在財政部的一個質詢有拿到他的回覆報告了他是這麼建議的他說建架系統建議原民會是需要洽詢內政部協處 |
transcript.whisperx[570].start |
18119.034 |
transcript.whisperx[570].end |
18130.719 |
transcript.whisperx[570].text |
原住民保留地市價偏低,建架系統不全,所以要問內政部,這樣的問題您覺得是內政部還是原民會? |
transcript.whisperx[571].start |
18133.832 |
transcript.whisperx[571].end |
18162.896 |
transcript.whisperx[571].text |
委員當然如果是不動產估價的部分當然還是內政部我們還是有一定的責任那我會建議這個問題有點類似像幾年前我們講地上權的估價其實也是建價困難等等等等那當然因為逐步的有實價登錄之後會比較多資訊那我會建議我想這部分到時候請原民會我們跟我們內政部地政司我們討論一下是不是請估價施工會先針對原保地的部分來研究一套 |
transcript.whisperx[572].start |
18163.536 |
transcript.whisperx[572].end |
18164.536 |
transcript.whisperx[572].text |
主席主席主席主席 |
transcript.whisperx[573].start |
18187.884 |
transcript.whisperx[573].end |
18201.284 |
transcript.whisperx[573].text |
根據原民會的組織法,確實沒有辦理地價業務的單位,也確實沒有被授權要辦理地價的業務,所以這個部分當然也就沒有處理地價的這種組織跟人力。 |
transcript.whisperx[574].start |
18203.627 |
transcript.whisperx[574].end |
18206.369 |
transcript.whisperx[574].text |
內政部組織法第2條確實有地價與不動產交易業務職責,內政部也有地政司的地價科。 |
transcript.whisperx[575].start |
18225.66 |
transcript.whisperx[575].end |
18237.983 |
transcript.whisperx[575].text |
而且,講更多一點,跟地價相關的法令,像未來會涉及土地法、平均地權條例、不動產估價計數、地價調查估計、還有地價與標準地價評議委員會的作業規範、地價的基準,還有選定。 |
transcript.whisperx[576].start |
18245.405 |
transcript.whisperx[576].end |
18268.941 |
transcript.whisperx[576].text |
這些要點等等都是屬於內政部長管的法令,所以本席才會在這個地方要求是不是原保地地價的研究,那麼之後依法令調整原保地地價能夠歸屬內政部,那也希望內政部本於職權來協助原民會。那剛才次長您的答覆已經很好了,您再簡單講一次。 |
transcript.whisperx[577].start |
18270.242 |
transcript.whisperx[577].end |
18285.467 |
transcript.whisperx[577].text |
好,我們就當然這應該是內政部的職責沒有問題啦但當然並不是說依法令調整原保地地價我可能文字上面是不是容許我們跟原民會來合作那我們來建立一個原保地估價的這個體系 |
transcript.whisperx[578].start |
18287.829 |
transcript.whisperx[578].end |
18288.529 |
transcript.whisperx[578].text |
原住民在自己的土地當別人的故宮 |
transcript.whisperx[579].start |
18302.142 |
transcript.whisperx[579].end |
18329.524 |
transcript.whisperx[579].text |
原保地能夠到銀行被承擔做擔保品這件事情會改變原住民的整個財政體質所以我在這個地方非常的感謝那最後我還要感謝因為我在4月10號有開一個原保地的研商會議那特別有請到農業部農業金庫也有來他們是給我正面的答覆喔他們是很願意來去做這個原保地的一個專門的一個 |
transcript.whisperx[580].start |
18331.525 |
transcript.whisperx[580].end |
18331.565 |
transcript.whisperx[580].text |
主席 |
transcript.whisperx[581].start |
18353.046 |
transcript.whisperx[581].end |
18364.654 |
transcript.whisperx[581].text |
謝謝吳立法委員的質詢。緊接著我們請廖偉祥委員質詢。廖偉祥、廖偉祥、廖偉祥不在。接著我們請嚴寬恒委員質詢。嚴寬恒、嚴寬恒、嚴寬恒不在。接著我們請李坤澤委員質詢。謝謝郭國文、趙偉。麻煩一下陳彥博次長,還有鐵道局溫護局長。來,請陳次、請局長。 |
transcript.whisperx[582].start |
18384.102 |
transcript.whisperx[582].end |
18384.326 |
transcript.whisperx[582].text |
委員好 |
transcript.whisperx[583].start |
18386.078 |
transcript.whisperx[583].end |
18413.599 |
transcript.whisperx[583].text |
市長好,針對高雄的大眾運輸我們希望在這幾年讓它逐漸成型最主要的原因就是在於交通部統計2022年公共運輸的市佔率我們可以看到台北市是37.2新北市是28.7然後高雄市只有8.4那公共運輸的市佔率會如此低落 |
transcript.whisperx[584].start |
18414.74 |
transcript.whisperx[584].end |
18440.979 |
transcript.whisperx[584].text |
雖然在過去這幾年一直的努力不管是原本的紅線跟橘線的通車以及台鐵捷運化新增7個通勤車站捷運化的這條路線加上輕軌臨港線早已完工那大順路這一段也順利的完工成員對於提升大眾運輸這個民眾很有感那高雄市民也一再的要求輕軌 |
transcript.whisperx[585].start |
18442.04 |
transcript.whisperx[585].end |
18442.08 |
transcript.whisperx[585].text |
主席 |
transcript.whisperx[586].start |
18459.714 |
transcript.whisperx[586].end |
18481.412 |
transcript.whisperx[586].text |
以及高雄捷運小港寧元縣的修正計畫案。或者是高雄都會區大眾捷運系統岡山路組的延伸線。這些都有相關的修正的計畫在進行當中。那請教一下溫代局長、溫夫局長相關的計畫的進度如何? |
transcript.whisperx[587].start |
18482.999 |
transcript.whisperx[587].end |
18497.236 |
transcript.whisperx[587].text |
跟委員報告,剛剛提到的這個黃縣跟小港陵園縣都在4月1號的時候市府就提報修正計畫來,4月11號的時候交通部也交下鐵道局在審查,那我們目前在很快的在積極審查當中這兩案。 |
transcript.whisperx[588].start |
18499.335 |
transcript.whisperx[588].end |
18522.798 |
transcript.whisperx[588].text |
好,這一些都是關係到大高雄地區相關的大眾運輸系統是否能夠初步的成型。初步的成型對於運輸的人口、運輸的市佔率會幫助非常大。除了目前的這一些新的捷運的修正計畫在進行當中,新的紙線也在6月中 |
transcript.whisperx[589].start |
18523.539 |
transcript.whisperx[589].end |
18537.221 |
transcript.whisperx[589].text |
可行性評估就會出來,讓我們會繼續的相關的計畫跟預算必須要逐步的落實,希望能夠讓高雄的大眾運輸系統逐漸的成型與發展。 |
transcript.whisperx[590].start |
18538.547 |
transcript.whisperx[590].end |
18555.243 |
transcript.whisperx[590].text |
另外就是有關於氣象局、氣象署。氣象署我們對於地震的這些預報,這個在2011年因為日本福島地震,所以在2012年我就要求 |
transcript.whisperx[591].start |
18555.883 |
transcript.whisperx[591].end |
18556.643 |
transcript.whisperx[591].text |
第1次聯席會議第1次聯席會議第2次聯席會議 |
transcript.whisperx[592].start |
18581.394 |
transcript.whisperx[592].end |
18586.632 |
transcript.whisperx[592].text |
比較危險性比較大的地震有7成都是在東部的外海 |
transcript.whisperx[593].start |
18587.915 |
transcript.whisperx[593].end |
18616.903 |
transcript.whisperx[593].text |
所以當初我們有設置一個媽祖計畫這兩天是媽祖生那這個計畫就叫做媽祖結尾啦媽祖結尾就是在海底埋電纜從東北角一直往南延伸經過恆春然後到仿山的中華電信所來上岸這是123期相關的一個進度那現在更重要的 |
transcript.whisperx[594].start |
18618.049 |
transcript.whisperx[594].end |
18640.798 |
transcript.whisperx[594].text |
我們在推動往南延伸的這樣的一個海底電纜的計畫這個計畫原本是預計800公里但是就是因為相關的這些進度相關的這些預算因為缺工缺料以及相關流標的這些過程現在氣象署已經將800公里縮減到只有200公里那 |
transcript.whisperx[595].start |
18645.937 |
transcript.whisperx[595].end |
18669.657 |
transcript.whisperx[595].text |
這陣期間大家談到地震大家民心非常的擔憂相關地震的對於人民生命財產所造成的這樣的一個衝擊國家級警報是擔負起預警的一個重要的工作那我們現在往南延伸的這個部分相關的預算跟進度這個次長你清楚嗎 |
transcript.whisperx[596].start |
18673.55 |
transcript.whisperx[596].end |
18694.488 |
transcript.whisperx[596].text |
這一點我們會再跟交通部以及氣象署來進行相關的這樣的一個持續的推動那相關的有關於捷運相關的修正計畫最主要還是在於經費的這樣的一個補助我們來看捷運黃線的修正草案要加上964億 |
transcript.whisperx[597].start |
18697.571 |
transcript.whisperx[597].end |
18704.134 |
transcript.whisperx[597].text |
小港寧元縣修正計畫案增加32億元以上,岡山路竹延伸線提升至89億元以上。 |
transcript.whisperx[598].start |
18711.259 |
transcript.whisperx[598].end |
18730.081 |
transcript.whisperx[598].text |
這些相關的經費我們希望能夠趕快的能夠落實讓這些大眾運輸系統關係到高雄未來的一個整體發展大眾運輸路線是要配合一個都市的發展提升它的相關的大眾運輸的功能 |
transcript.whisperx[599].start |
18730.862 |
transcript.whisperx[599].end |
18747.416 |
transcript.whisperx[599].text |
除了促進生活的方便、交通的便捷、產業的發展,都是有很重要的一個提升的作用。也請次長跟鐵道局、文務局長針對可行性評估之中的指線,我們來加以關注。希望, |
transcript.whisperx[600].start |
18748.376 |
transcript.whisperx[600].end |
18774.665 |
transcript.whisperx[600].text |
這樣才能夠讓初步的高雄大眾捷運的路網能夠初步的一個成型,這個還是要繼續的努力。是,我跟委員補充報告,有關剛才提到的岡山路竹段的那個競配的修正,行政院已經核定了,那跟委員說一下。第一步的修正已經核定,那還是有一些追加的部分,我們會持續的再跟交通部來進行對話,希望能夠 |
transcript.whisperx[601].start |
18776.065 |
transcript.whisperx[601].end |
18789.455 |
transcript.whisperx[601].text |
早日給予高雄協助,讓大眾運輸系統能夠逐步成型。以上。好,謝謝交通委員會資深委員李坤哲委員的諮詢。請接著我們請李坤誠委員諮詢。謝謝主席。我們請交通部城市長。來,有請城市。 |
transcript.whisperx[602].start |
18807.783 |
transcript.whisperx[602].end |
18825.263 |
transcript.whisperx[602].text |
委員好市長好我今天上午也聽了很多委員都在詢問這個有關於我們前瞻預算地下停車場的經費的問題那這個該地下停車場不是只有我新北市或是三重我相信這個全台灣的這一個立委都希望能爭取這個地下停車場 |
transcript.whisperx[603].start |
18826.044 |
transcript.whisperx[603].end |
18834.857 |
transcript.whisperx[603].text |
但是我也問過這個我們公路局公路局說我們的前瞻停車場的這個計畫是8年是到明年嘛對不對但是呢我們的計畫呢本來是200億後來追加了60億260億260億已經用完了是不是 |
transcript.whisperx[604].start |
18841.827 |
transcript.whisperx[604].end |
18865.659 |
transcript.whisperx[604].text |
261我們都也分配完了就表示大家有這個需求嘛對不對那需求那可是你的計畫是到明年啊那你2月就沒有錢了接下來我們也報了很多計畫上去我自己三重也報了包含這一個有開源公園啊六張公園啊大同公園等等那難道沒有錢了那計畫還是到計畫是到明年才結束那沒有錢就不做了嗎還是說繼續再爭取預算那繼續再做 |
transcript.whisperx[605].start |
18870.011 |
transcript.whisperx[605].end |
18885.19 |
transcript.whisperx[605].text |
跟委員報告一下有關這個前瞻之所以停車前瞻預算有把停車場納進去就是認為說這樣的一個停車的有需求對對解決都市交通問題很有幫助對我們都支持所以才從200億也增加到260億 |
transcript.whisperx[606].start |
18886.732 |
transcript.whisperx[606].end |
18888.414 |
transcript.whisperx[606].text |
市長,早上提醒一下,研議是說再去追加預算,再把它補進去還是怎麼樣? |
transcript.whisperx[607].start |
18905.951 |
transcript.whisperx[607].end |
18920.636 |
transcript.whisperx[607].text |
這個部分因為畢竟這個是前瞻計畫結束了預算當然結束那後續呢是計畫是到明年啊對明年明年結束完以後我意思是說這明年才結束那預算現在就沒有了那所以呢 |
transcript.whisperx[608].start |
18922.377 |
transcript.whisperx[608].end |
18947.177 |
transcript.whisperx[608].text |
我們目前來講會先從既有的這個計畫裡頭看相關的這個經費大家各因為各指向的計畫大家執行的情形進度不一啦看是不是可以有一些滾動上的一個檢討能不能再爭取預算再來蓋地下停車場我相信是很多立法委員的需求啊我剛才就講說相關的預算是不是還可以這一部分我們會去研議看看 |
transcript.whisperx[609].start |
18948.437 |
transcript.whisperx[609].end |
18967.006 |
transcript.whisperx[609].text |
那研議是要怎麼做啊?我早上就聽你跟很多立委講說研議,我就想說好那研議是要怎麼研議勒?去哪裡找錢勒?研議很重要就是找錢嘛,那找錢要從哪裡找怎麼找,這就是研議之所在。那你就是跟我繞了一圈了。 |
transcript.whisperx[610].start |
18968.656 |
transcript.whisperx[610].end |
18992.532 |
transcript.whisperx[610].text |
對,所以我很具體跟你講,就是要去研議,要去想辦法討論。不是啦,我的意思是說你這樣子,你不要是糊弄我啊。沒有,沒有,我跟委員沒有糊弄,沒有糊弄。那我問你,停車場要不要繼續做?原則上,各地方政府做停車場,這我們都很樂見,是。那當然啦,地方像我新北市政府就有停款基金嘛,那如果沒有這個中央前瞻預算撥下去的話,沒有辦法做到那麼多啦。 |
transcript.whisperx[611].start |
18993.988 |
transcript.whisperx[611].end |
19001.817 |
transcript.whisperx[611].text |
所以有些地方如果停管基金可以的話還有急迫性他可以先去做這沒有問題那我就不用來問你了所以我問你就是說現在預算不夠了是不是要再來找預算來繼續再來做停車場嗎是不是有這個方向 |
transcript.whisperx[612].start |
19010.891 |
transcript.whisperx[612].end |
19038.418 |
transcript.whisperx[612].text |
這樣就是我剛才講的,我們朝這個方向來…來,跟新的院長再來爭取這個預算好不好?這個我們會在交通部相關的這個內部會去討論,必要時我們會跟新的院長…有必要啊,我看今天這麼多委員都有問到這個地下停車場啊,有這個需求啊,只是我早上聽到說你在演繹,我想說到底是早上也是演繹,下午也是演繹,那有沒有新的東西出來啊?不好意思,我還是要演繹啦,還是要演繹,是,謝謝。 |
transcript.whisperx[613].start |
19040.188 |
transcript.whisperx[613].end |
19040.328 |
transcript.whisperx[613].text |
主席 |
transcript.whisperx[614].start |
19059.344 |
transcript.whisperx[614].end |
19075.873 |
transcript.whisperx[614].text |
市長,我們在去年4月就有提出來凍保法的修正案,已經過了一年了,去年4月到現在預告凍保法的修正案,這個預告要預告一年這麼久嗎?到現在還提不出來嗎? |
transcript.whisperx[615].start |
19077.553 |
transcript.whisperx[615].end |
19097.998 |
transcript.whisperx[615].text |
謝謝委員關心,因為其實動物保護真的是大家都很期待。這個過去年大家就希望說動物保護要修法,那你們馬上也開了很多的這個會議說這個來討論,然後我們農委會也升個這個農業部了,然後還多了這個動物保護師,那結果,那我現在問你這個動保法最新的修法進度,這個會期會不會提出來? |
transcript.whisperx[616].start |
19099.532 |
transcript.whisperx[616].end |
19123.817 |
transcript.whisperx[616].text |
應該這樣還是會提出來,但是不會是整個像我們當初預告的,因為當中有很多利害關係人跟我們說有些部分還要再研議,所以我們會分成兩塊,有共識的先走,那需要再檢討就再檢討,因為還是要往前走。是啊,那我的意思是說這個會期能不能提出來,因為你們是大休嘛,你們本來是大休嘛,那現在會不會再提出來?還是會提出來,但是就有共識。預計哪時候會提出來? |
transcript.whisperx[617].start |
19124.777 |
transcript.whisperx[617].end |
19143.881 |
transcript.whisperx[617].text |
有共識的部分會先提。對,那我說這個會期會不會提出來啦?我們希望可以,因為這個事情真的已經拖了一年了。有,那這當中其實也很多利害關鍵,其實我們都一直在討論。我知道啦,我的意思是說齁,這個還是要往前走嘛,這已經拖了一年的時間,那我希望這個會期能夠提出來好不好? |
transcript.whisperx[618].start |
19144.121 |
transcript.whisperx[618].end |
19144.581 |
transcript.whisperx[618].text |
主席我們再請內政部 |
transcript.whisperx[619].start |
19176.145 |
transcript.whisperx[619].end |
19197.022 |
transcript.whisperx[619].text |
請花斥花斥這做得比較久,給我30秒就好了,你做得比較遠。請教一下,在這個三重有一個迎新未來城,那這個迎新未來城,我想請問一下次長,那到底是說現在是卡在哪裡?是卡在這個新北市政府提出的計畫你們不滿意,比如他要當這個做長照, |
transcript.whisperx[620].start |
19198.883 |
transcript.whisperx[620].end |
19200.064 |
transcript.whisperx[620].text |
中央政府預算凍結書面報告案4案。 |
transcript.whisperx[621].start |
19226.687 |
transcript.whisperx[621].end |
19230.229 |
transcript.whisperx[621].text |
其實新北市是用新加坡的案例在copy,而新加坡是用原有的商業區和住宅區在做。 |
transcript.whisperx[622].start |
19243.178 |
transcript.whisperx[622].end |
19270.673 |
transcript.whisperx[622].text |
那現在是用公共設施用地在做的時候,它裡面的商業機能和內涵還是這麼高,其實可能就不是很恰當。也就是說,三重還有很多缺乏的公共用途的空間,應該要先考慮補足,可能會比較重要,會比商業開發來得更重要。因為它當然有它,因為它是BOT,所以它一定有一些商業的部分善。其實不一定要BOT啊。不一定要BOT。是啊。那經費不足的部分怎麼辦?它就是經費不夠啊。 |
transcript.whisperx[623].start |
19272.234 |
transcript.whisperx[623].end |
19299.697 |
transcript.whisperx[623].text |
地方政府也沒有這麼多經費啊?其實有不同的補助,衛福部有衛福部的補助,內政部有內政部社宅的補助,其實本來就...那你們有跟新北市政府講說不一定要BOT的方式來做嗎?不是,我們...因為他們這樣子的一個計畫並沒有得到衛福部肯認說它是屬於社福的功能。好,那所以現在問題是卡在衛福部還是卡在內政部?都沒有卡,是卡在新北市政府的計畫不好。計畫不好?那所以他們,你會叫他們再重修啊? |
transcript.whisperx[624].start |
19300.308 |
transcript.whisperx[624].end |
19322.044 |
transcript.whisperx[624].text |
當然都跟他們提示過,我也跟侯市長都跟他說過了。請花式私底下再跟李偉說。那你再請人家來跟我說明好了,好不好?因為這個案子,地方已經閒置兩、三年了啦。是,因為計畫不好啦,所以說請還是回去跟市府講一點。計畫不好你跟我講,回去跟他們做檢討好不好?請這個看是哪個單位?國土管理署嗎?還是? |
transcript.whisperx[625].start |
19326.144 |
transcript.whisperx[625].end |
19326.565 |
transcript.whisperx[625].text |
請交通部陳次長。 |
transcript.whisperx[626].start |
19358.962 |
transcript.whisperx[626].end |
19375.302 |
transcript.whisperx[626].text |
市長午安。我想首先我要在這邊說的就是對於曾經歷經這個前瞻特別條例跟前瞻特別預算審查的委員來說,今天在這邊應該感觸非常的深,因為就是在同樣一個會議室, |
transcript.whisperx[627].start |
19377.864 |
transcript.whisperx[627].end |
19388.509 |
transcript.whisperx[627].text |
想當年在審查這個條例跟特別預算的時候我們遭受到很大的一個阻擾雖然在那個時候這樣子的面臨的這個丟水球丟麵粉這樣子的將紛亂的分斷的一個狀況之下我們讓這個前瞻特別預算終於通過了那時間真的過得很快一轉眼這明年就到期了114年就到期了 |
transcript.whisperx[628].start |
19404.096 |
transcript.whisperx[628].end |
19425.989 |
transcript.whisperx[628].text |
那在這8年為期8年這個前瞻特別預算在這幾年執行下來相信很多地方這個成績也都一一的浮現了都有具體的一個成效了我想這個也都讓國人都感觸非常的深也看在眼裡那在這邊我首先也要來講的就是關心的就是停車場停車場的問題那我們知道在前瞻特別預算裡面我們總共有編列了260億 |
transcript.whisperx[629].start |
19433.633 |
transcript.whisperx[629].end |
19435.894 |
transcript.whisperx[629].text |
市長,目前進度如何?現在完工有四件,規劃中的還有一件規劃中的是哪一件? |
transcript.whisperx[630].start |
19460.736 |
transcript.whisperx[630].end |
19469.602 |
transcript.whisperx[630].text |
規劃中的是藍郭立體停車場在我的選區就是山河公園的地下停車場據我所知是還沒有辦落成完工的典禮目前完工了可是還沒有完工典禮還沒有正式的啟用 |
transcript.whisperx[631].start |
19488.656 |
transcript.whisperx[631].end |
19509.69 |
transcript.whisperx[631].text |
其實這個停車場對於都市化的地區真的是非常的重要。我們也知道最近幾年很多對於交通安全的改善跟提升也是受到國人很大的期待跟關注,尤其就是要改善行人地域這樣子的一個交通的亂 |
transcript.whisperx[632].start |
19512.072 |
transcript.whisperx[632].end |
19538.882 |
transcript.whisperx[632].text |
其實我們知道交通的亂象都是息息相關的所以你看歷經去年的檢舉達人檢舉的一個狀況事實上也是因為我們很多的公共設施不足所以在這種狀況之下你導致很多民眾他要在停車的時候他的需求就是不足所以就是說在這種狀況之下要去取締這個違規真的也是造成很多的一個民怨 |
transcript.whisperx[633].start |
19539.642 |
transcript.whisperx[633].end |
19562.436 |
transcript.whisperx[633].text |
所以我在這邊要講的就是說很多當然我們剛剛那個李委員有提到其實很多委員都期待就是說未來對於地方的這個停車場的一個需求還是有這樣子的很大的一個需求所以我們未來希望就是說在這個部分交通部還是要去努力的爭取啦因為我想當然這個前瞻特別預算 |
transcript.whisperx[634].start |
19563.096 |
transcript.whisperx[634].end |
19563.277 |
transcript.whisperx[634].text |
委員會主席 |
transcript.whisperx[635].start |
19581.037 |
transcript.whisperx[635].end |
19604.529 |
transcript.whisperx[635].text |
是,這一部分我今天早上也對幾個委員大概也說過,我們也了解到停車問題的一個解決對很多縣市政府來講都非常的重要,所以這一部分有關前瞻的這個停車場的預算結束之後呢,後續相關的一個經費的預算的來源,這我們會認真的去研議,看用什麼方式來提供這樣的一個預算計畫,讓縣市政府能夠繼續來申請。 |
transcript.whisperx[636].start |
19606.786 |
transcript.whisperx[636].end |
19634.066 |
transcript.whisperx[636].text |
好謝謝那其實這幾年就是說因為有特別預算就是前瞻特別預算讓我們地方很多的大型的公共建設可以來推動了包括這個提升道路品質因為這個部分也讓我們整個地方的這個道路品質都可以提升所以我覺得在這些的一個政績方面我們也希望交通部要多多的做了宣傳讓人民可以有更具體的一個感受 |
transcript.whisperx[637].start |
19634.907 |
transcript.whisperx[637].end |
19654.746 |
transcript.whisperx[637].text |
那再來我要講的就是有關這個TPAS的月票使用的情形這個是我們就是後來的疫後潤性經濟這個特別預算的部分那在這個部分目前就我所知就是說目前使用的人數都是在60多萬人是不是?次長 |
transcript.whisperx[638].start |
19656.026 |
transcript.whisperx[638].end |
19673.535 |
transcript.whisperx[638].text |
平均加值是六十幾萬人次在加值每個月意思就是說一個月到了會有再繼續有六十幾萬人所以平均應該就是全國每個月大概都是六十多萬的人次人數在使用 |
transcript.whisperx[639].start |
19674.335 |
transcript.whisperx[639].end |
19703.314 |
transcript.whisperx[639].text |
所以看起來就是北部就是北台灣及北北桃的使用率比較高對於其他縣市應該使用率比較低在中南部來說原則上當然會有一些程度上的不同但是整體而言TPAS下去以後對整體的使用的運量大概是增加到15.8所以應該是有一定的一個成長那在不同的運距別之間它的成長更是不一樣 |
transcript.whisperx[640].start |
19704.595 |
transcript.whisperx[640].end |
19707.118 |
transcript.whisperx[640].text |
整體使用人次目前停留在60多萬,交通部有沒有考慮提升使用人次? |
transcript.whisperx[641].start |
19725.036 |
transcript.whisperx[641].end |
19746.068 |
transcript.whisperx[641].text |
我想這一部分我們會在應該是下一期啦,其實明年開始我們會去有一些交通平權,其實平權就是剛才講的對於其他的縣市政府,不是北北季以外的縣市政府,如何提升他的TPAS或公共運輸的使用率的這樣的一個措施,會在這裡頭後續來推出。 |
transcript.whisperx[642].start |
19747.669 |
transcript.whisperx[642].end |
19768.162 |
transcript.whisperx[642].text |
我覺得除了區域性的考量之外就是說一般一個普遍性的提升的話本席在這邊就是要建議就是說因為我有接到鄉親的一個反應就是說因為我們目前是以月票的一個形式每個月儲值一千二的使用是不是 |
transcript.whisperx[643].start |
19770.602 |
transcript.whisperx[643].end |
19786.315 |
transcript.whisperx[643].text |
以北部來為例的話,對有的民眾來說,他一個月可能使用大概15次,他的需求可能只有15次,所以你要他扶植一千二的話,對他來說可能就是相較之下也 |
transcript.whisperx[644].start |
19786.715 |
transcript.whisperx[644].end |
19787.836 |
transcript.whisperx[644].text |
教育部主管預算凍結書面報告案4案 |
transcript.whisperx[645].start |
19817.119 |
transcript.whisperx[645].end |
19818.139 |
transcript.whisperx[645].text |
謝謝主席,本席想邀請國科會副主委陳中強 |
transcript.whisperx[646].start |
19850.848 |
transcript.whisperx[646].end |
19851.229 |
transcript.whisperx[646].text |
委員會主席 |
transcript.whisperx[647].start |
19859.044 |
transcript.whisperx[647].end |
19884.03 |
transcript.whisperx[647].text |
來,陳副,我想請問,前瞻計畫的第1期到第4期,那麼你們獲得了408億的預算,那本席看到你們的科技部的補助專題研究的這個計畫報告裡頭,我發現有同一個學者,三份的計畫,他的成果報告大致雷同,大致雷同。所以呢你們在補助研究計畫辦理, |
transcript.whisperx[648].start |
19886.089 |
transcript.whisperx[648].end |
19906.605 |
transcript.whisperx[648].text |
怎麼會是如此呢?同一個學者,三份的成果報告都雷同,這是第一點。所以你們要怎麼樣去精進這個補助?這個很重要,這是第一個,你待會兒回答。因為我們看到本席非常重視你們提的激勵, |
transcript.whisperx[649].start |
19907.566 |
transcript.whisperx[649].end |
19911.711 |
transcript.whisperx[649].text |
有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[650].start |
19925.327 |
transcript.whisperx[650].end |
19945.094 |
transcript.whisperx[650].text |
那你們在政府也擴大投入在半導體、電量子、太空、淨零碳排、高零科技、6G等這些關鍵的領域的一個發展。所以在這樣的情況之下呢,高階科研人才是非常的重要,是台灣的一個資產。 |
transcript.whisperx[651].start |
19946.614 |
transcript.whisperx[651].end |
19975.504 |
transcript.whisperx[651].text |
因此你們在113年的20.5億元預計從113年到117年這個計畫呢延續性的課題是156.6億所以它是持續的在佈局嘛那所以持續的佈局在科專的補助很重要啊那如果說一個學者同一個學者三份的計畫研究都是雷同的答案是超超也得說啊 |
transcript.whisperx[652].start |
19976.144 |
transcript.whisperx[652].end |
19979.613 |
transcript.whisperx[652].text |
可以如此嗎?好不容易有這個經費,我們應該要精進啊,對不對? |
transcript.whisperx[653].start |
19983.351 |
transcript.whisperx[653].end |
20006.903 |
transcript.whisperx[653].text |
是,跟委員報告一下因為這個其實國家的這個高階科研人才那對我們各方面的這個未來社會的一個挑戰都非常的重要這很重要啊,所以你可以這樣隨便補一補嗎那委員垂詢的這個我們可能要看個案因為有時候老師他研究的一個時程所以本期具體建議,好不容易有這個預算這我們會來加強的一個到117年 |
transcript.whisperx[654].start |
20012.146 |
transcript.whisperx[654].end |
20030.024 |
transcript.whisperx[654].text |
我還嫌不夠勒我還嫌156.6億還不夠勒對不對我還嫌不夠但是你不能再有限的經費你的你要去看你的成果啊你同一個學者三個成果計畫都差不多不可以如此的 |
transcript.whisperx[655].start |
20030.762 |
transcript.whisperx[655].end |
20031.042 |
transcript.whisperx[655].text |
接下來我要請衛福部 |
transcript.whisperx[656].start |
20046.969 |
transcript.whisperx[656].end |
20062.628 |
transcript.whisperx[656].text |
委員好我們這個少子化的問題已經成為國安的危機那人家台積電寶寶著重的計畫2.0你知道吧私人公司他們自己去籌劃 |
transcript.whisperx[657].start |
20063.869 |
transcript.whisperx[657].end |
20086.512 |
transcript.whisperx[657].text |
他甚至在我們新竹、台中、台南他設置了4所的幼兒園配合員工的上下班時間他提供從早上7點到晚上8點的托育民間這麼做喔那我們呢我們只有說鼓勵人家多生政府什麼理由叫人家多生你用什麼去協助人家所以呢我們看到 |
transcript.whisperx[658].start |
20087.765 |
transcript.whisperx[658].end |
20106.56 |
transcript.whisperx[658].text |
人家臺積電2023年臺灣廠區的新生兒多少?2463人,是佔我們的新生兒比例的1.8%,它是民間公司,所以在這樣的一個情況之下,我們要怎麼樣去讓這個計畫可以 |
transcript.whisperx[659].start |
20111.325 |
transcript.whisperx[659].end |
20135.724 |
transcript.whisperx[659].text |
有應對啊,請就說明一下。謝謝委員的指教。這是我們在少子女化對策,這是0到6歲,這是包括2歲以下是衛福部,2到6歲是教育部。我們其實都有積極的在佈建公共化,還有準公共化的一個托育的一個服務。那我想說這幾年來其實真的有大幅的一個提升。 |
transcript.whisperx[660].start |
20136.184 |
transcript.whisperx[660].end |
20137.165 |
transcript.whisperx[660].text |
請停止你的回答,因為你目前所做的就是不符合。 |
transcript.whisperx[661].start |
20155.154 |
transcript.whisperx[661].end |
20183.653 |
transcript.whisperx[661].text |
沒解決我們少子化的問題如果我們的官員回到這裡來討論你一樣只有講你目前的政策那我們是打岔的因為我們要的是要怎麼樣解決給了預算最重要你要怎麼去解決所以這個部分你在第4期的預算裡頭是4億你要怎麼去解決方案拿出來書面資料給本席好不好我們不要成為全世界生育率最低的一個 |
transcript.whisperx[662].start |
20184.394 |
transcript.whisperx[662].end |
20185.994 |
transcript.whisperx[662].text |
本席要請教現在詐騙集團的一大堆詐騙集團詐騙的一大堆怎麼辦? |
transcript.whisperx[663].start |
20185.994 |
transcript.whisperx[663].end |
20188.215 |
transcript.whisperx[663].text |
書發部你有沒有發現到一個問題詐騙手法已經侵入到哪裡?侵入到社福跟慈善公益團體 |
transcript.whisperx[664].start |
20212.11 |
transcript.whisperx[664].end |
20237.372 |
transcript.whisperx[664].text |
有這個方案喔!民眾你愛心捐款188元你可以參加抽獎喔!無所不用其極耶!他從社福、從公益團體這樣子做!目前我們一再要求你的網路廣告平台裡頭要加強廣告刊登驗證嘛!對不對?你事劃部現在是刊登這個驗證 |
transcript.whisperx[665].start |
20239.338 |
transcript.whisperx[665].end |
20262.27 |
transcript.whisperx[665].text |
希望讓民眾更清楚知道這是真的還是假我們現在是這樣子但是我們看到這個受騙的賬戶還是很多所以我要請書法部這邊你們要去研擬甚至連詐騙集團已經到了這一個社會團體都進入太恐怖了 |
transcript.whisperx[666].start |
20263.14 |
transcript.whisperx[666].end |
20272.868 |
transcript.whisperx[666].text |
你們除了驗證碼之外,你還有什麼因應的方案?讓詐騙不要這麼猖獗,可以對應之,好不好?是嗎?不? |
transcript.whisperx[667].start |
20273.621 |
transcript.whisperx[667].end |
20297.522 |
transcript.whisperx[667].text |
是,謝謝委員。我們在打造專訪裡面也有針對廣路廣告平台的部分會有強化管理跟驗證的措施。另外,委員提到…驗證還是我們一直要求啊,對不對?那你除了這個之外,還有什麼可以提名?打造專訪目前是5個部會共同組成,所以裡面包含之後委員提到的受騙賬戶的救濟包括費用的部分,這個在法務…這個部分在法務部那邊都有提出相關救濟的方式。好。 |
transcript.whisperx[668].start |
20297.742 |
transcript.whisperx[668].end |
20309.747 |
transcript.whisperx[668].text |
好,我就有一句話喔,請你把詐騙目前日新月異的手法,你們去盤點,然後我們還可以怎麼樣去研擬方案出來,好不好?那書面資料給本席,謝謝。 |
transcript.whisperx[669].start |
20323.424 |
transcript.whisperx[669].end |
20325.164 |
transcript.whisperx[669].text |
前瞻這幾年花了不少錢,前前後後前瞻總共的預算是多少? |
transcript.whisperx[670].start |
20354.26 |
transcript.whisperx[670].end |
20359.884 |
transcript.whisperx[670].text |
錢真總額是八千四百億。我們看到每個部會都非常的努力最努力成果最好的是誰? |
transcript.whisperx[671].start |
20379.103 |
transcript.whisperx[671].end |
20399.508 |
transcript.whisperx[671].text |
我覺得大家都非常努力那最不努力的執行率最低的是誰?執行率應該就是說要看他那個計畫的性質有一些他執行率可能是一些就是流標等等不同的因素跟是不是努力不必然有關係這就錢了8474很大的一筆錢 |
transcript.whisperx[672].start |
20404.315 |
transcript.whisperx[672].end |
20426.827 |
transcript.whisperx[672].text |
那一般全各單位就要就拼命要可是有沒有人在做追蹤考核呢?基本上就是國化會針對他那個計畫的進度還有相關有關工程的部分這是公共工程委員會也都有比較重大的計畫會列管 |
transcript.whisperx[673].start |
20429.483 |
transcript.whisperx[673].end |
20457.702 |
transcript.whisperx[673].text |
這是好像大鍋飯,反正錢來了大家拼命花,那到底有沒有效果也不清楚。比如說蘇泊部,來我們接著請蘇泊部,也請主計總處這邊也可以聽一下。像蘇泊部這一兩年來你們總共花了多少錢?我原是預算嗎?我們每年大概,我們年度的公務預算去年是六十幾億,今年是七三億。那做得好不好? |
transcript.whisperx[674].start |
20458.706 |
transcript.whisperx[674].end |
20480.644 |
transcript.whisperx[674].text |
做得好不好大家公平,我們很努力,我們有在盡力。有在進步,你覺得做得好嗎?做得好不好大家公平,我們有在盡力。那做得好就應該繼續做啊。你們現在的部長是誰?我們現在的部長是唐鳳。唐鳳,他有沒有續任?行政院以行政院公佈的人士為主。所以啊? |
transcript.whisperx[675].start |
20482.553 |
transcript.whisperx[675].end |
20508.184 |
transcript.whisperx[675].text |
行政院公布怎樣?行政院公布的人事為主,我不方便講說。他換掉了是不是?今天為什麼沒來?今天就是由我來。我知道,我看到你當然知道你來啊。那做得好你就應該讓他繼續做啊。是不是因為他做不好讓他下台?每一屆政府的人事我不便評論。你們每年都花那麼多錢齁。 |
transcript.whisperx[676].start |
20509.705 |
transcript.whisperx[676].end |
20529.201 |
transcript.whisperx[676].text |
結果現在人民所詬病的還是打詐那我如果再繼續問你,你一定說打詐跟你沒關係詐騙那麼多跟你有沒有關係?跟每個部會都有關係好,跟每個部會有關係你是不是主要的關係?我們擔任協助的角色 |
transcript.whisperx[677].start |
20530.614 |
transcript.whisperx[677].end |
20553.024 |
transcript.whisperx[677].text |
你是協助,那主要是誰?打造綱領裡面有4個主責部會,我們是協助的角色。你們是協助,那主要是誰?打造綱領上面寫的是法務部、內政部。所以法務部是錯誤的,還有呢?內政部是不是?內政部,還有呢?通常會跟經管會。什麼會?通常會跟經管會。經管會? |
transcript.whisperx[678].start |
20555.563 |
transcript.whisperx[678].end |
20580.305 |
transcript.whisperx[678].text |
那所以問題都是他不是你就對了?我們沒有這樣說過。那你說你誰辦啊?其實書報部現在大家發現打詐的流程當中,要嘛不然就是收簡訊,不然就是這個社群媒體LINE或是這些相關的。事實上你們在第一線該做的都可以直接就有作為啊。 |
transcript.whisperx[679].start |
20582.418 |
transcript.whisperx[679].end |
20607.592 |
transcript.whisperx[679].text |
或者你們發現比較異常的部分,你們應該可以控管啊。為什麼該管而不管,然後每年都花那麼多錢。好啦,我請協辦就下去好了啦,因為協辦最後你們也辦不了什麼事,然後錢就是繼續這樣花。請經濟部。請林赤。林赤喔。 |
transcript.whisperx[680].start |
20609.301 |
transcript.whisperx[680].end |
20629.37 |
transcript.whisperx[680].text |
林次長是這樣子,大概一般我們講的就是油電水氣、民生相關。那現在立法院已經決議說電價要動漲,這是全民的期盼。那立法院已經通過了,你們就應該遵照辦理吧。 |
transcript.whisperx[681].start |
20632.42 |
transcript.whisperx[681].end |
20645.548 |
transcript.whisperx[681].text |
這個部分事實上我們現在都是依法在辦理當中。依哪一個法?電力法的規定來做這相關的一個審議分組。可是立法院又有新的決議啊。決議就是說你們不能漲電價。面對這樣的情況,你是會漲還是不要漲? |
transcript.whisperx[682].start |
20649.235 |
transcript.whisperx[682].end |
20670.12 |
transcript.whisperx[682].text |
我跟委員報告,我是公務人員,所以我們現在依照的部分就是按照法律規定,4月1號審查通過,以4月1號審查通過的執行方案在進行中。4月1號,那昨天是幾號?昨天是5月1號。5月1號,那禮拜二就是又前天了。那時候立法院已經決議有通過了。是。 |
transcript.whisperx[683].start |
20671.761 |
transcript.whisperx[683].end |
20697.569 |
transcript.whisperx[683].text |
所以我剛剛講到說我們4月1號已經按照相關規定的方式來做處理。立法院通過了啊,那你立法院通過你要不要照辦啊?我想這個部分可能要更嚴謹的去思考那個部分的規範是如何。你就公務人員執行刑事法裡面看嘛,立法院的決議你們要尊崇啊。如果你們沒有遵照立法院的決議下去做,那誰來決定喔?我們是準備要提高那個人喔。 |
transcript.whisperx[684].start |
20699.107 |
transcript.whisperx[684].end |
20726.67 |
transcript.whisperx[684].text |
譬如說現在已經說凍漲結果有一個人叫做林全能他在公文上批說要漲那以後有出問題我就告你喔我想我們依法行事我沒有特別這個那你怕不怕告我們依法行事我們就不用太擔心因為我們就分開嘛是誰決定就找誰啊抽絲剝繭啊全民都是支持凍漲的啊 |
transcript.whisperx[685].start |
20728.103 |
transcript.whisperx[685].end |
20737.823 |
transcript.whisperx[685].text |
那你要立法委員就是代表民眾阿在立法院決議通過的案你不但要尊重你還必須要遵照辦理阿 |
transcript.whisperx[686].start |
20740.1 |
transcript.whisperx[686].end |
20767.263 |
transcript.whisperx[686].text |
我剛剛已經說得很清楚,我們會依法來做相關的一個工作的資訊。你要小心啊,我因為我認識你齁,我是站在你的角度齁,來幫你啦。謝謝委員,你提醒一下,謝謝委員。政府是鐵打的衙門啊,流水的關啊。你不要因為這個事你就流掉了,以後也不會有人記得你啦。只會,當你接到傳票的時候你要去開,有人要告你啊。因為你沒有遵照立法院的決議在辦理。 |
transcript.whisperx[687].start |
20768.65 |
transcript.whisperx[687].end |
20773.231 |
transcript.whisperx[687].text |
理解嗎?謝謝委員提醒。謝謝劉委員。謝謝。謝謝劉召偉的諮詢。緊接著我們請黃士堅委員諮詢。謝謝召見。我請交通部次長。 |
transcript.whisperx[688].start |
20797.065 |
transcript.whisperx[688].end |
20801.388 |
transcript.whisperx[688].text |
我多次在財政委員會諮詢,我要求財政部長 |
transcript.whisperx[689].start |
20820.153 |
transcript.whisperx[689].end |
20842.312 |
transcript.whisperx[689].text |
應該針對我們國家有一項正重大的就是要引導受險業資金來投入我們的公共建設那這二十幾年下來受險業的資金投入公共建設其實那個金額都不大好歹至少 |
transcript.whisperx[690].start |
20847.719 |
transcript.whisperx[690].end |
20857.662 |
transcript.whisperx[690].text |
4、5年前還可以還一年有500億啦109年、110年、111年逐年下滑那還好500億滑下來355、443、112億可以說到了112年是雪崩式的下滑只剩下這112億 |
transcript.whisperx[691].start |
20873.729 |
transcript.whisperx[691].end |
20874.069 |
transcript.whisperx[691].text |
委員會主席 |
transcript.whisperx[692].start |
20893.474 |
transcript.whisperx[692].end |
20917.687 |
transcript.whisperx[692].text |
資金可用的資金只花了萬分之三到我們國家的公共建設來幫忙做這一部分的投資。杯水車薪少之又少。那原因我就去查了一下。查了一下,原來我們各單位、各部會其實也不怎麼當一回事。 |
transcript.whisperx[693].start |
20919.059 |
transcript.whisperx[693].end |
20939.527 |
transcript.whisperx[693].text |
各部會長管有公共建設需求的,也從來也不會找財政部幫忙說,我們有這條政策,我們國內有來自於我們全體國民的保險、受險的基金、資金可用。 |
transcript.whisperx[694].start |
20946.26 |
transcript.whisperx[694].end |
20965.095 |
transcript.whisperx[694].text |
一方面受選業他們也樂得他們去找更多更高收益的地方,像國外都去啦,他們去了國外連二國都去了,因為他說那邊利率高,也不怕說那邊在戰爭有戰爭的風險, |
transcript.whisperx[695].start |
20968.592 |
transcript.whisperx[695].end |
20991.629 |
transcript.whisperx[695].text |
因為他們哪邊有利益就往哪邊去那把我們國家公共建設擺一邊這裡面交通部、內政部、衛福部你們公共建設不少耶交通部我比較沒話講交通部確實有做這一部分的努力交通部好歹好歹這三年來 |
transcript.whisperx[696].start |
20996.376 |
transcript.whisperx[696].end |
20997.62 |
transcript.whisperx[696].text |
發行了7樣、7種的乙類公債 |
transcript.whisperx[697].start |
21001.226 |
transcript.whisperx[697].end |
21027.937 |
transcript.whisperx[697].text |
那這是請財政部幫忙的這做了這一些不錯的包括在民航、在國道、鐵道這一部分的投資國道建設計畫、桃園航空城的建設計畫等等等至少交通部還做了這些啦所以我今天找內政部、衛福部你們兩位次長上好就是要問你們說你們做了哪一些 |
transcript.whisperx[698].start |
21030.081 |
transcript.whisperx[698].end |
21039.767 |
transcript.whisperx[698].text |
幾乎沒做!太多!不當你為是!是誰決定發言權?那個...交通部!有一份命令!你站上來我要誇你!吼!真是!你站好我才能誇你嘛!不是嗎? |
transcript.whisperx[699].start |
21058.427 |
transcript.whisperx[699].end |
21085.089 |
transcript.whisperx[699].text |
好,政府我要誇獎你,不錯,在這麼多部會裡面,你是不會說啊,我們要用錢吼,那就大筆一揮,反正有兩兆八千億嘛,吼,這個坐在金山銀山上面,筆一揮就有錢,你們沒有這麼做,你們確實很積極的找了財政部幫你們發了這些乙類公債,這很好,這非常好。 |
transcript.whisperx[700].start |
21085.569 |
transcript.whisperx[700].end |
21110.801 |
transcript.whisperx[700].text |
那我要問你的就是說那再來你們還有沒有繼續比方說我們台北市、我們台中市甚至高雄市我們有那麼多捷運的計畫要興建那現在捷運不只台北台中、高雄都欠缺這一部分捷運他們的預算的補助交通部補助的超過有的4層、5層、6層不等 |
transcript.whisperx[701].start |
21113.442 |
transcript.whisperx[701].end |
21129.47 |
transcript.whisperx[701].text |
但是是不是你們協助各縣市的捷運來代發這些捷運基金,因為捷運有自償性嘛,不是嗎?他做好了以後,乘客買票來搭乘,他就有這些收益,你們可不可以做到? |
transcript.whisperx[702].start |
21131.531 |
transcript.whisperx[702].end |
21155.911 |
transcript.whisperx[702].text |
跟委員報告一下,因為這個剛才提到的很多的建設,其實它都有它的財務計畫,它財務計畫裡頭會去講到相關的經費如何籌措,那委員特別提到是不是可以協助地方政府採取類似像我們這裡頭交通部的這些發行,不管是公債也好,或者是透過保險基金來協助也好,這個我想我們可以找他們來談一下。 |
transcript.whisperx[703].start |
21156.391 |
transcript.whisperx[703].end |
21165.196 |
transcript.whisperx[703].text |
你們要做 你要發行的這些公債受險就沒有藉口可以講你有這些他要來投資他要來買呀不是嗎好不好 你們前幾次成功的這幾項我誇獎你們 那你們繼續以這幾個建設公債當例子那你就可以趕快大舉的來做包括捷運的部分 那個內政部該你了 |
transcript.whisperx[704].start |
21181.144 |
transcript.whisperx[704].end |
21195.169 |
transcript.whisperx[704].text |
你那麼多社宅,社宅也是自償性的公共建設不是嗎?你那麼多的社宅,那個衛福部我沒時間了,衛福部我一起說,衛福部你們也都沒做,你們那麼多長照, |
transcript.whisperx[705].start |
21196.289 |
transcript.whisperx[705].end |
21212.63 |
transcript.whisperx[705].text |
那麼多醫療院所,我看你們最近在台北醫院急重症的大樓,包括你們台中榮董的第三醫學大樓,長照的我們有豐原醫院後里的長照機構,有胸腔病院新市的長照機構,這些這麼多, |
transcript.whisperx[706].start |
21215.493 |
transcript.whisperx[706].end |
21229.775 |
transcript.whisperx[706].text |
我沒看到外福部、看到內政部做這一方面的努力,不要讓受險資金、閒置啦、空檔啦還可以跑到戰爭的國家去投資,這不是很奇怪嗎? |
transcript.whisperx[707].start |
21230.916 |
transcript.whisperx[707].end |
21246.784 |
transcript.whisperx[707].text |
我們應該各部會合作努力,把我們的公共建設尤其有自償性的委請財政部來幫忙,把授權資金導入我們國家的公共建設兩位次長可不可以做到。 |
transcript.whisperx[708].start |
21248.049 |
transcript.whisperx[708].end |
21248.629 |
transcript.whisperx[708].text |
主席黃建豪議員 |
transcript.whisperx[709].start |
21277.247 |
transcript.whisperx[709].end |
21283.336 |
transcript.whisperx[709].text |
理事長交通部次長還有觀光署觀光署今天是沒關係 沒關係副署長 |
transcript.whisperx[710].start |
21294.98 |
transcript.whisperx[710].end |
21306.132 |
transcript.whisperx[710].text |
好,首先啊,這個數位部的部分,其實我今天本來沒有要問你的,但是呢,剛剛你對這個羅明財委員的回應,讓我覺得匪夷所思,也是很不可思議啊,談到詐騙的問題,因為詐騙的確是國人最關注的問題啊。 |
transcript.whisperx[711].start |
21311.357 |
transcript.whisperx[711].end |
21334.504 |
transcript.whisperx[711].text |
那其實你剛剛提到說你們是協力單位但是我今天為什麼要特別提出來因為你們的部長可能會不會是連你們部長跟你們自己那部業務對於你們推動的相關法案它的價值都不清楚所以部長被換掉了為什麼要講這個最近立法院剛剛三讀通過一個貴部提出來的重大法案這場什麼法案知道吧 |
transcript.whisperx[712].start |
21336.403 |
transcript.whisperx[712].end |
21357.084 |
transcript.whisperx[712].text |
電子簽章法,為什麼要推動電子簽章法?當初你們來說明的時候就是因為電子簽章法,它能夠去影響到現在這些網路上投放的廣告,能夠讓網路的身份上面能夠被實名的認證,能夠去解決詐騙的問題。那其實台灣現在詐騙有很多問題,就是源頭嘛,源頭我根本不知道這個人是誰啊。 |
transcript.whisperx[713].start |
21357.785 |
transcript.whisperx[713].end |
21385.753 |
transcript.whisperx[713].text |
他說他是這個陳文憲他說他是謝金河他說他是謝金河最近就說他是退休的部長他說是王美花最近也出現了他就說他要退休了他要去來教大家怎麼投資現在還在出現那就是因為有這麼多有的沒有的詐騙的源頭所以歷經了20幾年來終於數位部推出了這個數位簽章法本來電子簽章法本來是要給你們肯定的但是剛剛次長你剛剛好像我是很清楚你們在電子簽章法上對詐騙的貢獻的怎麼會這樣子 |
transcript.whisperx[714].start |
21387.634 |
transcript.whisperx[714].end |
21407.184 |
transcript.whisperx[714].text |
市長委員剛剛前面楊瓊英委員詢問的時候我們就已經說到我們會在廣告的平台身份驗證上面做強化的管理包含跟打炸專法有一個配套這個其實就是電子簽章法跟打炸專法所以我們沒有不清楚我們的說對啊所以你不是協力廠商而已啊你是主辦單位之一啊打炸打炸的部分在電子簽章法的部分我們是主政機關沒有問題 |
transcript.whisperx[715].start |
21408.422 |
transcript.whisperx[715].end |
21409.523 |
transcript.whisperx[715].text |
我跟委員說明,我剛剛講的四個部會是根據行政院打詐綱領1.5跟2.0裡面的分工。 |
transcript.whisperx[716].start |
21435.984 |
transcript.whisperx[716].end |
21447.513 |
transcript.whisperx[716].text |
好啦,那你們社會部算不算打詐的主要責任之一?我們在打詐綱領裡面協調協助的部會,但是委員剛剛提到電子簽章是我們主政的。你還是認為你們是協助的角色之一就對了? |
transcript.whisperx[717].start |
21452.506 |
transcript.whisperx[717].end |
21453.007 |
transcript.whisperx[717].text |
電子簽章法及打造專法 |
transcript.whisperx[718].start |
21467.835 |
transcript.whisperx[718].end |
21488.79 |
transcript.whisperx[718].text |
去年交通部有提出一個很重要的得證,就是T-pass行政通行月票。這部分是一年來,我看到這個數據如果有錯,拜託你糾正我一下。全國大概4月份有67.1萬人次加值購買T-pass。4月份的話北北季桃52.4萬、中張頭大概3萬、南高屏8.3萬、桃竹竹苗2.3萬。 |
transcript.whisperx[719].start |
21497.356 |
transcript.whisperx[719].end |
21522.853 |
transcript.whisperx[719].text |
其他地區使用行政院通勤月票人相對比較少。交通部對於看到這個數據以後,對於提升大家使用大眾運輸跟對應推動這項政策的成果,你滿不滿意?如果不滿意,我想應該是不滿意啦,因為除了台北、雙北很多人買之外,其他部會區、其他生活圈基本上購買的人很少,那原因到底在哪裡? |
transcript.whisperx[720].start |
21523.713 |
transcript.whisperx[720].end |
21544.191 |
transcript.whisperx[720].text |
市長,我想跟委員報告一下,有關TPAS的這樣的一個執行到目前為止,其實它對於公共運輸的載客的人數,運量確實是有成長的。Normally來講的話,平均大概是15.8,然後再依據不同的運區別有不同的成長的一個幅度。 |
transcript.whisperx[721].start |
21544.671 |
transcript.whisperx[721].end |
21561.652 |
transcript.whisperx[721].text |
所以其實這樣的一個對於吸引民眾來使用公共運輸確實有它的一定成效。市長,你剛剛提的這15.8是平均嗎?平均,對對對。有沒有更細部的數字拜託你會後提供給我們,因為就像我提到了, |
transcript.whisperx[722].start |
21562.673 |
transcript.whisperx[722].end |
21591.267 |
transcript.whisperx[722].text |
從數據上來看,雙北當然最多人搭乘,它的相對的運距也方便,其他地方呢,也是15.8嗎?還是高於或低於?這個是部分,市長你們這邊要再加強一下。我們要提供給你,提供給委員,而且它有各種不同運距別,沒問題。當然我們也看到有些縣市確實成長的幅度是,跟其他的平均是有差距的。那這一部分剛才我也特別提到過,我們因為通勤月票它是一個通勤的, |
transcript.whisperx[723].start |
21591.887 |
transcript.whisperx[723].end |
21594.609 |
transcript.whisperx[723].text |
市長,除了現有的、現行的交通運輸之外,包含說像我提到的,像以台中、中張頭生活圈為例, |
transcript.whisperx[724].start |
21616.664 |
transcript.whisperx[724].end |
21638.858 |
transcript.whisperx[724].text |
他這個人口明明在整個臺灣那樣人口算蠻多的但他能夠願意來購買這個通勤月票的他其實是個大生活圈啊很明顯大家都在這地方生活但是他購買通勤月票的人次遠遠低於可能雙北或甚至低於這個桃竹苗那我在想有個原因啊甚至低於高高評啊有一個原因就是因為我們的大眾運輸的運據不夠普及 |
transcript.whisperx[725].start |
21640.999 |
transcript.whisperx[725].end |
21641.659 |
transcript.whisperx[725].text |
臺中捷運綠線、臺中捷運藍線、臺中捷運橘線等。 |
transcript.whisperx[726].start |
21660.768 |
transcript.whisperx[726].end |
21676.364 |
transcript.whisperx[726].text |
像捷運南線目前已經進入綜合規劃通過了正在細部的設計然後其他的綠線的延伸等等的都是在進行中那這部分我想我們會後整理一下資料送給委員參考 |
transcript.whisperx[727].start |
21677.145 |
transcript.whisperx[727].end |
21677.545 |
transcript.whisperx[727].text |
王美惠委員質詢 |
transcript.whisperx[728].start |
21713.28 |
transcript.whisperx[728].end |
21721.405 |
transcript.whisperx[728].text |
主席,我們請教育部請陳次陳次及經濟部請林次二位請問你們這兩位主管,你們知道我來自哪裡嗎?嘉義市嘉義市嗎?來 |
transcript.whisperx[729].start |
21738.274 |
transcript.whisperx[729].end |
21761.165 |
transcript.whisperx[729].text |
在這裏面的規定當中,我認為討論前瞻的規範及後議的強化的經濟當中,在這個規定當中,討論前瞻的規範及後議的強化的經濟當中,在這個規定當中,討論前瞻的規範及後議的強化的經濟當中,在這個規定當中,討論前瞻的規範及後議的強化的經濟當中,在這個規定當中,討論前瞻的規範及後議的強化的經濟當中,在這個規定當中,討論前瞻的規範及後議的強化的經濟當中,在這個規定當中,討論前瞻的規範及後議的強化的 |
transcript.whisperx[730].start |
21765.339 |
transcript.whisperx[730].end |
21776.389 |
transcript.whisperx[730].text |
但在這幾宗,大家都有看過管制的成果出來。尤其在這次,我們要和我們政治討論一個 |
transcript.whisperx[731].start |
21779.378 |
transcript.whisperx[731].end |
21785.425 |
transcript.whisperx[731].text |
鐵路高架,因為現在已經漸漸完形,漸漸完形的時候,大家都說你知道台積電封測,要去隔壁館,洗手嘛,是不是?是嘛齁? |
transcript.whisperx[732].start |
21796.497 |
transcript.whisperx[732].end |
21817.601 |
transcript.whisperx[732].text |
大家都煩惱說加2次會變年化,但是本市在這裏是覺得說,我們加加2次要共融,才有辦法加2次會變成更好。所以本市要跟你們說,要如何共融的時候要有一個方便的交通。在本市跟你們說的就是,前瞻性也好,前瞻也好, |
transcript.whisperx[733].start |
21825.936 |
transcript.whisperx[733].end |
21833.163 |
transcript.whisperx[733].text |
因為漸漸時間只剩1天而已。1天內,加2次的藍燙水庫的水源,有競爭性的驗告查1點的時候,你們要怎麼協助於當地的加2次呢?這我希望。 |
transcript.whisperx[734].start |
21848.769 |
transcript.whisperx[734].end |
21860.513 |
transcript.whisperx[734].text |
我們交通部及觀光署要注意這個問題。未來、剛好、大家都煩惱教育區的邊緣化。交通要方便的時候,就是要有一條清軌。清軌裡面就是教育管制。 |
transcript.whisperx[735].start |
21872.237 |
transcript.whisperx[735].end |
21892.948 |
transcript.whisperx[735].text |
所建設的交通,加以市政府也已經被交通部申請,所以本市希望是在交通部的,可以國間來統籌、來處理。本市在此的所謂意見,麻煩做一次回答。 |
transcript.whisperx[736].start |
21898.035 |
transcript.whisperx[736].end |
21920.925 |
transcript.whisperx[736].text |
好,我委員報告一下,剛才委員有講到嘉義市鐵路高架那部分,相關的經費,其實要謝謝委員的大力支持,幫我們協助,所以目前修正計畫大概4月3號已經核定了,然後而且也讓這個嘉義市的負擔,簡單講在委員的這個努力下,大概減少1億元的負擔,所以想這部分, |
transcript.whisperx[737].start |
21923.346 |
transcript.whisperx[737].end |
21932.294 |
transcript.whisperx[737].text |
你若說到這,我本來是說要跟你討論,我是說私底下跟你討論。你一旦說到這,我告訴你,大家疫情都沒有完畏發生,每一個關期,你會合併的預算給他,現在企業的選,你有前瞻,為甚麼你不想頂管報告,是不是要用專案來補助每一個關期才對? |
transcript.whisperx[738].start |
21951.79 |
transcript.whisperx[738].end |
21960.033 |
transcript.whisperx[738].text |
你預算給他的錢,平均是90億,你現在還要去負擔90億的時候,還有管治什麼人有疫情,所以我們的政府有擔當,應該是要你們處理得對,讓他們來承擔,來,另外再說。 |
transcript.whisperx[739].start |
21975.359 |
transcript.whisperx[739].end |
21976 |
transcript.whisperx[739].text |
主席主席主席 |
transcript.whisperx[740].start |
21992.25 |
transcript.whisperx[740].end |
22007.28 |
transcript.whisperx[740].text |
要做是會成功的,因為有專案、有前瞻的經費。我們說實在,對一個經濟合法的管治的時候,你一定好定好意的經費,你叫他去負擔這個,哪有你?像買房子,買房子以後我買你的,如果買你一千萬,現在去的,是建商要負責的,不是買的人要負責的,我比倫這樣你聽到沒有? |
transcript.whisperx[741].start |
22022.43 |
transcript.whisperx[741].end |
22027.592 |
transcript.whisperx[741].text |
市長,現在委員會的意見,我們還在研究。請問請問部份,我們一定有相關的經費給加利市政府來做可行性的一個研究。他做出來之後,我們會怎麼樣來施助他?不是啦,研究,我告訴你,每次都說研究研究啦。 |
transcript.whisperx[742].start |
22047.618 |
transcript.whisperx[742].end |
22056.403 |
transcript.whisperx[742].text |
包括說的教育期的施政就一樣,跟一個報告,你如果不去看,到現在已經30年了,還沒換一個地方,如果你簽一個字,簽不發生,這是安全問題,如果會廢銷,你說報告,你要協助當地的管制,我已經開了一個會了, |
transcript.whisperx[743].start |
22074.366 |
transcript.whisperx[743].end |
22090.458 |
transcript.whisperx[743].text |
你這條清規不是加上他自己的問題而已,加上他官司,都要趕快啦!那時候沒中也,大家可以跟我說,他要開一個會給官司,官司長來開會啊!你說如果我說這樣,國教團隊會投降啦! |
transcript.whisperx[744].start |
22094.039 |
transcript.whisperx[744].end |
22116.594 |
transcript.whisperx[744].text |
委員報告啦,可能說得不太詳細啦,就是說整個嘉義市跟嘉義縣的路網,我們一定有討論過,而且同意被查。現在再來就是,就這個路網裡頭跟嘉義的藍線的部分,它要做可行性研究,那個是所有的建設,只要是捷運的建設都要有這個定數啦。所以這部分,我們在集碼、補助嘉義市,要去做。 |
transcript.whisperx[745].start |
22124.019 |
transcript.whisperx[745].end |
22125.56 |
transcript.whisperx[745].text |
主管預算凍結書面報告 |
transcript.whisperx[746].start |
22147.331 |
transcript.whisperx[746].end |
22148.791 |
transcript.whisperx[746].text |
請問您跟綠領經濟有關的問題,照顧地球的理想工作是什麼? |
transcript.whisperx[747].start |
22177.131 |
transcript.whisperx[747].end |
22205.046 |
transcript.whisperx[747].text |
是我想我們就是要能夠讓環境能夠更加永續那讓環境這個經濟的發展跟環境的永續能夠均衡的在一起達到這個共存共榮雙贏的機會那可不可以講一些更具體的工作項目呢我想像我們現在這個推動這個綠能或者是永續的一個這個循環的一個經濟我想都是在這個我剛剛所講的永續發展的一個很重要的工作 |
transcript.whisperx[748].start |
22205.706 |
transcript.whisperx[748].end |
22219.121 |
transcript.whisperx[748].text |
在你們這次的前瞻這是第4期嘛規劃中有哪些是符合這個照顧地球的理想工作?像我們現在在水環境裡面有一個水環境我們就希望說透過水環境能夠來將這個 |
transcript.whisperx[749].start |
22221.243 |
transcript.whisperx[749].end |
22221.703 |
transcript.whisperx[749].text |
主管預算凍結書面報告案4案。 |
transcript.whisperx[750].start |
22238.351 |
transcript.whisperx[750].end |
22238.731 |
transcript.whisperx[750].text |
李慧琼議員 |
transcript.whisperx[751].start |
22259.788 |
transcript.whisperx[751].end |
22261.589 |
transcript.whisperx[751].text |
19個民間團體發起聯署,希望能推動修護自然的生態綠領就業。 |
transcript.whisperx[752].start |
22281.901 |
transcript.whisperx[752].end |
22293.272 |
transcript.whisperx[752].text |
不知道次長有沒有看到這個新聞昨天勞動節的時候有19個生態勞工原住民地方創生團體共同開的記者會希望政府拿出行動有看到嗎 |
transcript.whisperx[753].start |
22296.333 |
transcript.whisperx[753].end |
22324.08 |
transcript.whisperx[753].text |
謝謝我有稍微知道這樣的一個發展議題那沒關係喔那他們希望政府做的是跨部會來擴大投資以修護自然環境為目標的綠色經濟政策那也推動綠色基礎設施以調和灰色就是我們過去的硬體基礎設施為主喔舉例來講喔原本如果一條步道那有政府預算的資本額可能是一千萬那一千萬只能做兩公里 |
transcript.whisperx[754].start |
22324.72 |
transcript.whisperx[754].end |
22349.039 |
transcript.whisperx[754].text |
同樣經費如果換成僱用人力一年其實可以僱10多個勞工未來我們需要的就是這樣的經費來維護步道的話同樣經費可以全年暢通所以我想就是經濟部好像還沒有跟上我們準總統他公開說要支持綠領人才的培育淨齡政見 |
transcript.whisperx[755].start |
22351.02 |
transcript.whisperx[755].end |
22351.04 |
transcript.whisperx[755].text |
律領經濟 |
transcript.whisperx[756].start |
22371.255 |
transcript.whisperx[756].end |
22391.488 |
transcript.whisperx[756].text |
是,我想我剛剛有提到說我們追求環境永續的部分在經濟部裡面有一個很重要我們的低碳淨零這樣一個人才的培育的計畫那這個部分是在我們現在的強化經濟與社會韌性及全民共享經濟成果特別預算裡面我們有來執行這樣一個人才的培育的計畫是低碳化跟智慧化的人才的培育 |
transcript.whisperx[757].start |
22392.168 |
transcript.whisperx[757].end |
22395.53 |
transcript.whisperx[757].text |
好,我們願意,我們會聆聽各界的聲音來做更好的處理。好,那一個月還是兩個月可以給我們一個報告? |
transcript.whisperx[758].start |
22420.983 |
transcript.whisperx[758].end |
22421.363 |
transcript.whisperx[758].text |
文化部代表? |
transcript.whisperx[759].start |
22439.315 |
transcript.whisperx[759].end |
22441.176 |
transcript.whisperx[759].text |
文化部先走,那我改請教育部次長,因為教育部永遠都有問題,沒問完。 |
transcript.whisperx[760].start |
22453.149 |
transcript.whisperx[760].end |
22479.537 |
transcript.whisperx[760].text |
市長您負責高教嗎?那一早上是潘部長在所以我就問他偏鄉的問題那您知不知道我們最近那個是我們交大那邊有客家的那個園區民眾捐來的土地結果因為我們的他們的產學合作計畫居然要佔了其中的一塊地這個事情有上新聞您有沒有看到?我有看到那這件事情您的看法是什麼呢? |
transcript.whisperx[761].start |
22480.695 |
transcript.whisperx[761].end |
22503.115 |
transcript.whisperx[761].text |
這個我們其實還要再充分了解一下,因為它現在還在規劃階段。對,那因為蠻多的民間,不管是我們客家界還有我們那個交大的教師們已經連署,那連署的速度成長得非常快,好像已經到三、四千人了。因為它當時捐遞的人是為了要做客家相關的一個社群, |
transcript.whisperx[762].start |
22503.635 |
transcript.whisperx[762].end |
22515.549 |
transcript.whisperx[762].text |
但是現在卻因為產權合作那要讓財團圈一塊地蓋很大的大樓那我想這個部分就是說會不會而且簽約的時間聽起來是蠻長的次長知道簽約時間會是多長嗎 |
transcript.whisperx[763].start |
22520.934 |
transcript.whisperx[763].end |
22546.38 |
transcript.whisperx[763].text |
目前還在校內,因為他們還在討論,所以基本上也還沒有案子到我們這邊來。對,那可不可以請次長了解一下,我們如何能夠不要讓民間擔憂就是財團會不會變相,就是說從大學這邊圈地,然後失去了原本不管是教育或者這個是客家文化相關的一個原本的就是公共的土地跟公共的一個利益好嗎? |
transcript.whisperx[764].start |
22546.92 |
transcript.whisperx[764].end |
22550.324 |
transcript.whisperx[764].text |
李博弈委員、李博弈委員、李博弈委員、李博弈委員不在,請謝一鋒委員、謝一鋒委員、謝一鋒委員、謝一鋒委員不在,接著我們請張雅玲委員進行。 |
transcript.whisperx[765].start |
22585.526 |
transcript.whisperx[765].end |
22607.211 |
transcript.whisperx[765].text |
有需要什麼那個醫事人他需要什麼幫他協助一下好不好好謝謝主席那我們有請那個次長、交通部次長有請陳次長 |
transcript.whisperx[766].start |
22619.053 |
transcript.whisperx[766].end |
22627.879 |
transcript.whisperx[766].text |
市長好,我想跟您討論一件事情,我們都認同安全座椅是保護兒童安全的最後一道防線,這一點您認同嗎?認同。但是我卻在這個解凍案裡面,我再針對於提供 |
transcript.whisperx[767].start |
22634.503 |
transcript.whisperx[767].end |
22657.782 |
transcript.whisperx[767].text |
計程車裝設幼童安全座椅這件事情看到我們交通部的回應是說因為這並不是固定組織裝置可以自由拆卸跟年齡層的需求規格也都不同聽起來就是說有點複雜有點麻煩我們還是回到市場機制來處理那這一點的話我自己會覺得說這個可能我們需要再來做更多的積極的措施原因是在於 |
transcript.whisperx[768].start |
22659.431 |
transcript.whisperx[768].end |
22688.533 |
transcript.whisperx[768].text |
我沒有想下一頁好下一頁那就是說我看了一下我們的一個報告就是說我們現在每一年從106年到現在111年除了疫情那一年我們平均每久一台計程車就有一台有死傷雖然裡面可能不是在送小孩但是這代表說如果媽媽爸爸媽媽載著小孩坐計程車的時候很有九分之一的每久的台車他就有可能會中這個死傷的這個問題所以如果我們講安全座椅是它座位道防線的話我們的安全座椅還 |
transcript.whisperx[769].start |
22690.015 |
transcript.whisperx[769].end |
22707.817 |
transcript.whisperx[769].text |
進程車應該要多裝更多的安全座椅才對對吧做這個小汽車啦使用安全座椅這應該是交通部一貫的一個對但是我們現在進程車上面其實是並沒有提供的吧不好意思下一頁 |
transcript.whisperx[770].start |
22709.757 |
transcript.whisperx[770].end |
22731.496 |
transcript.whisperx[770].text |
因為現在目前我看到就只有480個這個安全計程車上面有這個服務那但是我也從網路上面看到其實有父母親有這樣子的需求但是他叫了7、8台車他只有成功過一次所以基本上他其實是非常難叫到那我們剛剛有講他有出這麼高的一個死傷率那我們等於是說如果我們不解決這個問題我們可能就會讓有 |
transcript.whisperx[771].start |
22733.197 |
transcript.whisperx[771].end |
22733.437 |
transcript.whisperx[771].text |
主席主席 |
transcript.whisperx[772].start |
22751.712 |
transcript.whisperx[772].end |
22763.738 |
transcript.whisperx[772].text |
計分計算或是說我們可不可以有一些宣導性的措施跟父母親說我們一定要去要求計程車讓計程車提供安全座椅是不是可以一起來做這些更積極的措施我們可不可以研議呢? |
transcript.whisperx[773].start |
22765.481 |
transcript.whisperx[773].end |
22765.861 |
transcript.whisperx[773].text |
請教育部留持。 |
transcript.whisperx[774].start |
22790.771 |
transcript.whisperx[774].end |
22808.227 |
transcript.whisperx[774].text |
市長好,就是說最近的這個震盪的這個很震盪的一個消息就是全台的第一間臺文系也就是真理大學臺文系要停招了那這個停招其實對我們臺灣的一個母語振興的教育來說復興來說都是一個很大的傷害 |
transcript.whisperx[775].start |
22808.727 |
transcript.whisperx[775].end |
22830.195 |
transcript.whisperx[775].text |
因為我們現在這幾年上次也其實有諮詢過文化部啦其實我們需要大量的這些台語的人才去做一些戲劇啊創作等等的而是我們現在這個戲所就直接停招了那其實非常可惜那我不太確定說接下來這個真理大學的台灣系好像是要併入這個人文及資訊學系那但是對我們台灣的人才該怎麼辦這個部分我們的規劃是什麼 |
transcript.whisperx[776].start |
22831.295 |
transcript.whisperx[776].end |
22844.042 |
transcript.whisperx[776].text |
跟委員報告,他這個系因為他現在才剛報上來,所以他現在還在審查階段。所以我們還是有可以討論的空間嗎?因為我們還在審查階段,所以我們還是要先審查他的程序才能夠做後續的確認。 |
transcript.whisperx[777].start |
22845.131 |
transcript.whisperx[777].end |
22865.741 |
transcript.whisperx[777].text |
好那這部分好下一頁就是說因為其實我想這是在那個國家語言法裡面第9條第4項其實有規定中央主管機關應要獎勵我們的大專院校開設國家語言相關課程這是法規有規定的所以我希望可以積極的來協助真理大學這個部分那再來就是說下一頁不好意思 |
transcript.whisperx[778].start |
22867.762 |
transcript.whisperx[778].end |
22887.816 |
transcript.whisperx[778].text |
其實這幾年我們的人文學科不管是師興大學中文系也好其實是一直逐漸的在凋零收掉的速度非常的快而是因為大專院校畢竟不是一個營利事業單位不是說哪個狀況不佳就要把它砍掉而且我就有一個重點就是BBC或是不管這些這些很多的學者專家都在講其實人文學科非常重要 |
transcript.whisperx[779].start |
22888.957 |
transcript.whisperx[779].end |
22917.932 |
transcript.whisperx[779].text |
對於批判性思考、創造性思考尤其是對於現在科技的發展它都有一些更好的一個邊界的思考這樣子所以尤其在美國的人文學科比例中其實站上管理崗位的比例也是最高的,站15%所以我會認為說我們是不是高教師能夠針對人文科系陸續停操退場的這個狀況進行一個掌握然後來研議我們可以如何的來協助因為總不能讓它自己凋零,這樣可以嗎? |
transcript.whisperx[780].start |
22918.812 |
transcript.whisperx[780].end |
22929.238 |
transcript.whisperx[780].text |
這部分是可以的嗎?可以,那我們是不是再給委員一個報告,我們先把最近的整理出來。對,那再來就是說還是延續了這個,夏業抱歉,就是夏業。 |
transcript.whisperx[781].start |
22930.942 |
transcript.whisperx[781].end |
22953.81 |
transcript.whisperx[781].text |
就是說因為我們前陣子就是有一些台語、台文的教授他們其實有反映到就是說我們現在在這個課綱裡面還是沒有用臺灣台語這件事情那我也知道說在等這個文化部的這個會議那我想要就直接就兩件事情來確認就是說在我們這個課綱的會在我們非課綱的部分早上其實有委員關心我們是不是可以從那個下葉 |
transcript.whisperx[782].start |
22956.674 |
transcript.whisperx[782].end |
22966.291 |
transcript.whisperx[782].text |
我們是不是可以從這些非課綱類型的母語資源網、閩南語競賽、閩南語字典上面直接開始來做台灣台語的更名呢?這部分是可以的嗎? |
transcript.whisperx[783].start |
22967.682 |
transcript.whisperx[783].end |
22995.22 |
transcript.whisperx[783].text |
跟委員報告,早上已經有跟委員承諾過,就是說這部分我們會再給委員一個,那我們是不是一併給委員這個報告。所以在研議還沒有辦法確定一個時間點是嗎?我們現在是這樣,針對課綱部分,課綱的研修小組已經,他6月就會,我們6月會過課會送一個報告上。對。那這是另外的議題,就非課綱部分是不是一併做一個檢討。那麼早上有另外委員垂詢的時候,我們會就先給委員一個報告,我們是一併給委員。 |
transcript.whisperx[784].start |
22996.664 |
transcript.whisperx[784].end |
23020.93 |
transcript.whisperx[784].text |
好,那我再問,不好意思,我再30秒就好。就是說,在我們6月這個會議結束之後,如果有結論的話,我們是不是就可以在118課綱裡面去用臺灣臺語這個字呢?這還是要看到時候的結論而已。對,我說如果到時候的結論是這樣的話,就可以在118課綱裡面去。對,就是要看那個結論,還是要看那個結論。OK,好,謝謝你,謝謝主席。好,謝謝張雅琳委員的諮詢,請接著林月晴委員的諮詢。 |
transcript.whisperx[785].start |
23033.432 |
transcript.whisperx[785].end |
23041.136 |
transcript.whisperx[785].text |
請我們的食藥署副署長王德元王副署長我們請外部食藥署副署長 |
transcript.whisperx[786].start |
23046.104 |
transcript.whisperx[786].end |
23046.724 |
transcript.whisperx[786].text |
報告指出自行檢驗項目目標 |
transcript.whisperx[787].start |
23072.839 |
transcript.whisperx[787].end |
23095.667 |
transcript.whisperx[787].text |
比率持續到85%以上預計113年地方政府衛生局可以提高到93%這個計畫的母數當然規模反映的我們的檢驗量能所以想問的是這項計畫涵蓋了多少實驗室還有其中中央政府設立地方政府設立的民間業者的設立的這個檢驗單位各有多少 |
transcript.whisperx[788].start |
23098.398 |
transcript.whisperx[788].end |
23105.404 |
transcript.whisperx[788].text |
這個計畫所涵蓋的是我們補助的是21縣市衛生局的實驗室。這個計畫有沒有包括我們的檢驗設備,還有多少比例用在設備的擴編上?其中這個計畫大約60%的經費都是用在補助各衛生局去採購最新型的檢驗儀器設備。 |
transcript.whisperx[789].start |
23122.362 |
transcript.whisperx[789].end |
23139.074 |
transcript.whisperx[789].text |
副長知不知道,最近死案崩爆之後,因為各縣市檢驗單位的案件量大幅增加,之後站在第一線的稽查員因為工作量負擔過大而離開了。所以媒體最近有針對臺北市的離職潮做出報導。 |
transcript.whisperx[790].start |
23143.728 |
transcript.whisperx[790].end |
23169.533 |
transcript.whisperx[790].text |
檢測與採檢回來的樣品交給檢驗員去做檢驗所以因此檢驗員的負擔一定是大幅的增加所以想問人力不足沒辦法展現量能的話這些人員流動你們這邊有去關心嗎報告委員那我們這個前瞻計畫的部分補助剛剛有提到說60%是包含了儀器設備的資本門那剩下的部分也包含了人力的補助的費用所以這個人力補助費用事實上是會調整他們的薪資嗎 |
transcript.whisperx[791].start |
23171.123 |
transcript.whisperx[791].end |
23187.45 |
transcript.whisperx[791].text |
如果調不調新資質要看各地方衛生局他們聘的這個契約所以有沒有掌握說大概從2月今年2月起開始13風暴之後檢驗量能增加那你的檢驗員的離職率是不是有增加的狀況因為台北市爆發出這樣的狀況報告委員這個部分我們可以去了解一下 |
transcript.whisperx[792].start |
23188.81 |
transcript.whisperx[792].end |
23190.011 |
transcript.whisperx[792].text |
因為我們目前並沒有收到很明確的有這樣的回應。 |
transcript.whisperx[793].start |
23203.777 |
transcript.whisperx[793].end |
23221.012 |
transcript.whisperx[793].text |
那我們事實上我們中央跟地方定期都會開相關的衛生局聯席會議,那如果衛生局有任何的問題我們都可以提出來一起來協調如何解決。所以目前有啟動彼此去分擔,因為食安問題是國人很在意的,那個檢驗的那個量能嗎? |
transcript.whisperx[794].start |
23222.02 |
transcript.whisperx[794].end |
23244.649 |
transcript.whisperx[794].text |
報告委員,事實上我們21縣市衛生局跟中央的實驗室之間,我們都有彼此的分工。那目前21縣市衛生局透過中央地方聯合分工的方式,大家都互相在負責。那其中如果說各衛生局在檢驗上有任何困難的時候,我們都請他直接送食藥署的實驗室來做協助做後端的把關,以上。好,謝謝食藥署。那接下來可以麻煩我們的政務次長,呃,李立芬次長。好,請你次。 |
transcript.whisperx[795].start |
23251.155 |
transcript.whisperx[795].end |
23274.211 |
transcript.whisperx[795].text |
委員好,次長好。托育服務專法想問幾個問題。就是說今天想問兒童托育服務專法現在進度如何?準備好了嗎?我們兒童托育專法已經60天公告完之後,收集的意見也跟各地方政府跟民間團體也開完會議了。 |
transcript.whisperx[796].start |
23277.273 |
transcript.whisperx[796].end |
23292.795 |
transcript.whisperx[796].text |
那現在我們就會循法規的程序經過我們法規會做審查之後就可以送到行政院因為我為什麼這樣問因為在凱凱案之後我們的院長是答應在520之前送進來的所以這樣子會不會跳票呢? |
transcript.whisperx[797].start |
23293.816 |
transcript.whisperx[797].end |
23314.575 |
transcript.whisperx[797].text |
因為後來在這個專法有一些團體有意見另外我們也做了一些修正就是說因為托育專法跟兒犬法有點互動可是這當中有一些條文如果兒犬法還沒有完成一起送的話就會有一些條文上所以你預估到什麼時候會因為這跟孩子的是 |
transcript.whisperx[798].start |
23315.756 |
transcript.whisperx[798].end |
23340.948 |
transcript.whisperx[798].text |
推品質跟孩子的安全性有很大關係,我們也期待降私生比,本來1比5我們希望降到1比4,所以你預計什麼時候可以送進來?跟委員報告,這1比5降到1比4它是修那個,其實在這次裡面沒有特別去修訂這個,可是我們現在本來就用鼓勵的方式,補助一個人的方式來鼓勵我們的托嬰中心, |
transcript.whisperx[799].start |
23341.288 |
transcript.whisperx[799].end |
23343.049 |
transcript.whisperx[799].text |
這與修法沒有太直接的關係,以我們的法規會安排大概6月左右報送到市政院。 |
transcript.whisperx[800].start |
23361.758 |
transcript.whisperx[800].end |
23374.85 |
transcript.whisperx[800].text |
不過在這邊還是要提醒不是只有私生筆還有托育人員的勞動條件那110年的8月本來就提供托育人員的鼓勵筆優化獎注然後並規劃我們112年期我們總共的托育人員應該給固定的那個 |
transcript.whisperx[801].start |
23381.315 |
transcript.whisperx[801].end |
23410.161 |
transcript.whisperx[801].text |
就年資可以給予固定薪資3萬到3萬6可是有民眾來跟我們反映說112年台北市政府社會局提供的準工的托育服務品質的講座裡邊公文內容雖然要求業者要給我們的托育員講座金跟相關福利可是業者並沒有依照我們的公文來做執行給托育員相對應的薪資跟講座卻沒有公務機關在核銷上進行查核的時候托育員到底有沒有領到這個講座 |
transcript.whisperx[802].start |
23411.041 |
transcript.whisperx[802].end |
23432.038 |
transcript.whisperx[802].text |
准公本來獲得社會局補助,到底有沒有給這些辛苦的人員,中央有沒有掌握呢?好,呃,報告委員,這個本來地方政府也應該要去抽查,可是如果真的有這種事實發生,已經有發生的話,是不是委員可以提供我們呃,相關的一個……是,那也麻煩齁,這個……我們可以來做抽……我們可以來做查查。因為現在中心的…… |
transcript.whisperx[803].start |
23432.378 |
transcript.whisperx[803].end |
23432.759 |
transcript.whisperx[803].text |
委員會主席 |
transcript.whisperx[804].start |
23449.121 |
transcript.whisperx[804].end |
23449.421 |
transcript.whisperx[804].text |
王振旭委員 |
transcript.whisperx[805].start |
23479.48 |
transcript.whisperx[805].end |
23483.522 |
transcript.whisperx[805].text |
醫療永續發展與環境之間的關係我們知道不論是一般廢棄物或是失業廢棄物 |
transcript.whisperx[806].start |
23507.745 |
transcript.whisperx[806].end |
23508.045 |
transcript.whisperx[806].text |
委員會主席 |
transcript.whisperx[807].start |
23530.093 |
transcript.whisperx[807].end |
23554.8 |
transcript.whisperx[807].text |
是一個事業機關來處理這個廢棄物的部分雖然醫療機構所佔的廢棄物的比例相對是低很多相較於其他的製造業等等那可是我們也看到近三年來這個醫療廢棄物的量越來越多那再利用率相對是偏低那這一部分不知道我們的衛福部有沒有做哪一些方面的改善方案或計畫 |
transcript.whisperx[808].start |
23556.774 |
transcript.whisperx[808].end |
23584.399 |
transcript.whisperx[808].text |
其實我們之前也有考慮到說有哪些醫療器材它是可以再使用的那這個部分我們也都會再持續跟醫療單位醫院這邊再來討論那另外其實整個在整個永續發展指標裡面其實我們在醫療這個部分要怎麼檢探那這個部分其實疑似是有在 |
transcript.whisperx[809].start |
23585.319 |
transcript.whisperx[809].end |
23585.499 |
transcript.whisperx[809].text |
主席主席 |
transcript.whisperx[810].start |
23607.688 |
transcript.whisperx[810].end |
23611.052 |
transcript.whisperx[810].text |
一、有關教育部主管預算凍結書面報告案4案。一、有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[811].start |
23629.266 |
transcript.whisperx[811].end |
23629.526 |
transcript.whisperx[811].text |
主席主席 |
transcript.whisperx[812].start |
23655.459 |
transcript.whisperx[812].end |
23678.956 |
transcript.whisperx[812].text |
市業廢棄物的這個循環跟減量這個部分,其實都有努力,剛剛委員提到市業廢棄物的在利用率達到85%,那主要就是在經濟部的部分,它從產源就開始做循環,一個產業的廢棄物可能是另外一個產業的資源,用這樣的媒合的方式把它進行,那我們家屋垃圾的這個資源循環也做得很好,那衛務部這個部分我們比較考量還是在意,因為它有一些是 |
transcript.whisperx[813].start |
23679.636 |
transcript.whisperx[813].end |
23679.796 |
transcript.whisperx[813].text |
主席 |
transcript.whisperx[814].start |
23697.159 |
transcript.whisperx[814].end |
23697.259 |
transcript.whisperx[814].text |
主席 |
transcript.whisperx[815].start |
23715.307 |
transcript.whisperx[815].end |
23715.688 |
transcript.whisperx[815].text |
主席主席 |
transcript.whisperx[816].start |
23730.905 |
transcript.whisperx[816].end |
23750.858 |
transcript.whisperx[816].text |
提供給我們一些意見上的參考。我們知道4月份要電費平均要漲51%,醫院都覺得非常非常的辛苦。那事實上目前醫院的這個耗能占了所有電力是占了9成左右。那麼這麼大的這個醫院的消耗能量之下,其實我們也知道 |
transcript.whisperx[817].start |
23751.978 |
transcript.whisperx[817].end |
23760.765 |
transcript.whisperx[817].text |
經濟部有一些節能績效的保證措施,可是補助的部分,過去這5年來一般的單位有補助到397案,醫院去申請了才49案。 |
transcript.whisperx[818].start |
23764.187 |
transcript.whisperx[818].end |
23781.54 |
transcript.whisperx[818].text |
我們看最後一張的資料我們如何能夠讓這樣的補助方案也讓醫院有機會可以夥同或者是麻煩經濟部這邊來提供相對的這個節能績效的這個促進方案我不知道目前在執行上有沒有哪一些的困難或困擾 |
transcript.whisperx[819].start |
23783.566 |
transcript.whisperx[819].end |
23805.632 |
transcript.whisperx[819].text |
謝謝委員,我想經濟部來透過我們剛剛講的那個節能、績效保證,也就是傳統所講的ESCO的部分來協助我們醫療院所,我們相當願意。那我們會提供書面的資料給委員辦公室這邊,那也會主動的,事實上我們現在已經成立輔導團,要來主動的跟我們的醫療院所來協助他們做這個相關節能的推動工作。 |
transcript.whisperx[820].start |
23806.232 |
transcript.whisperx[820].end |
23806.692 |
transcript.whisperx[820].text |
有請陳次長 |
transcript.whisperx[821].start |
23839.426 |
transcript.whisperx[821].end |
23864.26 |
transcript.whisperx[821].text |
市長辛苦了首先請教就是說捷運黃線的部分這個對於整個高雄的大眾運輸系統相當重要但是針對前鎮漁港的部分我們現在努力的希望打造像台灣的一個豐洲漁市的這樣一個目標那現在農業部也全力在推動當中那捷運現在也做了一個黃線延伸到前鎮漁港的規劃那預定在今年會 |
transcript.whisperx[822].start |
23865.541 |
transcript.whisperx[822].end |
23891.023 |
transcript.whisperx[822].text |
完成這個可行性的評估,那次長這個進度目前狀況是怎麼樣?預定是7月完成嗎?我們是補助高雄市在做相關的一個預算規劃跟研究,那目前我們還沒收到,收到他們相關的一個。他們現在在4月應該第一版的期末報告已經出來了,那我希望次長跟江副統我去了解一下好不好? |
transcript.whisperx[823].start |
23891.483 |
transcript.whisperx[823].end |
23918.933 |
transcript.whisperx[823].text |
因為這整個計畫沒有錯是像委員講的大概有兩個方案那詳細的情形我們再去了解一下有兩個方案在進行那我希望就是7月份出來之後我也希望交通部繼續來支持然後讓整個前鎮漁港包括整個捷運系統的部分能夠整個建置完成就是做到了他現在只到前鎮高中沒有延伸到前鎮漁港其實非常的可惜那我希望把這個整個效益整個做大出來特別是全世界知名的 |
transcript.whisperx[824].start |
23919.873 |
transcript.whisperx[824].end |
23920.874 |
transcript.whisperx[824].text |
主席主席主席主席 |
transcript.whisperx[825].start |
23943.052 |
transcript.whisperx[825].end |
23971.732 |
transcript.whisperx[825].text |
再來是齊京的第二過港隧道齊京原來它是個半島是因為後來開港高雄港開港的關係變成了是一個離島但是它其中沒有適用離島建設條例的一些狀況那當然第一過港隧道的年限當然有做了一些延長但是第二過港隧道也要及早做一些準備不然將來恐怕對於齊京的鄉親來說有可能就會造成這個交通上非常大的一個問題那現在也在一樣一樣在做可行性的評估 |
transcript.whisperx[826].start |
23972.432 |
transcript.whisperx[826].end |
23972.712 |
transcript.whisperx[826].text |
主席主席 |
transcript.whisperx[827].start |
23988.897 |
transcript.whisperx[827].end |
24007.367 |
transcript.whisperx[827].text |
那這一部分我們會來跟高雄市政府來瞭解相關的進度,掌握相關的進度,那一有相關的結果以後來跟委員做說明。初步做出來是有擴建路跟漁港路兩個方案,當然選擇性上面,那我也希望交通部一些專業一線一樣進去來協助高雄市政府。 |
transcript.whisperx[828].start |
24008.388 |
transcript.whisperx[828].end |
24035.255 |
transcript.whisperx[828].text |
是不是這個會後一個禮拜先把你們所了解的最新的狀況也再彙整給我這邊好不好?請次長跟交通部同仁也再彙整給我。那我也希望6月7月完成了這個可行性之後,我也希望能夠繼續支持這些建設。不要讓當時旗津的鄉親因為開港,因為高雄港的整個而形成離島這樣的效果的時候,那如果因為這個第二過往隧道,將來如果有一些狀況的做法造成他們交通上非常大的不便利。 |
transcript.whisperx[829].start |
24035.675 |
transcript.whisperx[829].end |
24063.209 |
transcript.whisperx[829].text |
是我想委員關切的這些事項我們都會持續來關注它是好謝謝那再來我也請教一下之前疫情前的時候航班航點其實受到一些影響疫情那現在都陸續在恢復當中但是其實高雄的恢復速度我認為沒有桃園來得這麼的快特別是航班航點有些部分的恢復甚至於班機都變得比較小的一些班機那因為高雄機場也是南部最重要的一個國際機場它影響到 |
transcript.whisperx[830].start |
24064.77 |
transcript.whisperx[830].end |
24090.145 |
transcript.whisperx[830].text |
議員議員 |
transcript.whisperx[831].start |
24090.205 |
transcript.whisperx[831].end |
24108.908 |
transcript.whisperx[831].text |
百分之百這樣的一個目標,可以嗎?市長。我們盡可能來朝這個方向來努力,那這個我們會督請民航局盡速來協調航空公司。我們常常講如果南北的落差存在著的話,那唯一的方式就是不斷的去協助讓中南部有更好的一些發展。 |
transcript.whisperx[832].start |
24109.489 |
transcript.whisperx[832].end |
24135.816 |
transcript.whisperx[832].text |
如果沒有去推動的話大概就永遠是這樣所以我知道現在大家搶得很兇啦桃園也在搶那甚至於離島也在爭取但是我希望這一塊會影響到因為看到有太多南部的鄉親都必須要到桃園來做這個搭機才能夠不管是商務或觀光出去我認為這個部分長遠來說的這個南北上的失衡狀況會有點嚴重我希望這一塊次長跟整個交部同僚要大力來協助 |
transcript.whisperx[833].start |
24136.576 |
transcript.whisperx[833].end |
24139.577 |
transcript.whisperx[833].text |
高雄機場主任樂觀年齡回復疫情前水準,希望市長及交通部民航局同仁大力協助。 |
transcript.whisperx[834].start |
24155.404 |
transcript.whisperx[834].end |
24158.666 |
transcript.whisperx[834].text |
臺鐵在高雄機場移到潮州,現在要做一些開發,涉及到包括交通部甚至內政部的部分,現在進度應該是在內政部的一個獨委會專案小組在審查。 |
transcript.whisperx[835].start |
24179.541 |
transcript.whisperx[835].end |
24202.539 |
transcript.whisperx[835].text |
內政部全力的加速來進行以外我也希望交通部來推動加速推動預定是在2026年的時候應該來啟動相關的招商工作今年已經2024年了那這個地方當年的機場的時候其實大家也很期待它儘速的開發不管是公園、停車場、商場的部分能夠帶動地方的一個發展我希望交通部跟內政部加速這個開發期程2026來完成可以嗎 |
transcript.whisperx[836].start |
24206.38 |
transcript.whisperx[836].end |
24207.682 |
transcript.whisperx[836].text |
邱政軍委員、邱靖遠委員、邱靖遠委員、邱靖遠委員不在,請接受委員質詢。 |
transcript.whisperx[837].start |
24234.572 |
transcript.whisperx[837].end |
24251.952 |
transcript.whisperx[837].text |
有請書發部理事長。理事長好。今天要跟你討論 |
transcript.whisperx[838].start |
24255.762 |
transcript.whisperx[838].end |
24282.679 |
transcript.whisperx[838].text |
這個數位落差的問題那前瞻的這個預算裡面有邊這個偏鄉數位落差那明年就是要到期那目前我看的執行率只有11.8%所以要跟你探討一個數位落差那請問市長數位落差最嚴重的在哪一個區塊 |
transcript.whisperx[839].start |
24284.78 |
transcript.whisperx[839].end |
24307.847 |
transcript.whisperx[839].text |
回答委員,您剛講的預算是我們大概針對雲市及是補助數位轉型,特別是中小企業的部分。OK,你還沒有掌握出問題。數位落差在我們的社會當中,數位落差可能有區域性的落差、世代間的落差、產業間的落差。那最嚴重的在哪裡? |
transcript.whisperx[840].start |
24309.994 |
transcript.whisperx[840].end |
24323.9 |
transcript.whisperx[840].text |
我想數位落差最嚴重的在於本身對於數位技巧或者是數位知識的學習,通常是會在長輩或者是社經地位比較落後一點的地區。那數位落差會造成社會什麼影響? |
transcript.whisperx[841].start |
24326.132 |
transcript.whisperx[841].end |
24344.161 |
transcript.whisperx[841].text |
社會落差當然會造成不管是使用或者資訊傳遞上都會有落差。社會落差的問題顯然比你想像它會造成對立的社會。整個的社會像很多的偏鄉裡面我們看到今天早上我才在教育部當中在質詢 |
transcript.whisperx[842].start |
24345.222 |
transcript.whisperx[842].end |
24369.916 |
transcript.whisperx[842].text |
我們偏鄉只有注重這個偏鄉兒童教育但是偏鄉呢像兒童他家裡大部分都是高齡者在照顧阿公阿嬤在照顧但是我們對他們那一塊都完全不重視所以導致呢會怎麼樣小孩子所學的東西大人完全不理解所以呢他們就不溝通不溝通這造成世代的疏離相關牽扯的問題非常的多 |
transcript.whisperx[843].start |
24372.165 |
transcript.whisperx[843].end |
24399.813 |
transcript.whisperx[843].text |
那這個我都在推動壯世代這個書發不知道吧那壯世代是當然現在整的是指臺灣進入高齡化社會不要再有老人引髮族的世代這個世代是臺灣的希望但是對於這一塊我也看到我們在數位上數位部非常的輕忽非常的輕忽這個如果是在這一點我們來看一下輕忽到什麼程度剛才講 |
transcript.whisperx[844].start |
24401.545 |
transcript.whisperx[844].end |
24417.659 |
transcript.whisperx[844].text |
這一個是臺灣網路諮詢中心的數據在我們的世代之間那個最高的就是8到9歲他的上網到98那70歲的只有到40%相差到5成 |
transcript.whisperx[845].start |
24419.14 |
transcript.whisperx[845].end |
24433.266 |
transcript.whisperx[845].text |
這數據沒問題吧?然後在區域當中的這個最非偏鄉的地方然後跟偏鄉大概相差兩成我們現在整個的重點是在做偏鄉在做區域是嗎? |
transcript.whisperx[846].start |
24434.486 |
transcript.whisperx[846].end |
24448.399 |
transcript.whisperx[846].text |
對於世代之間我們可以看到整個的數位落差已改善偏鄉現在所有的邊內的預算跟著力的重點一直在追求這個問題然後對於這剛才看到五成的東西 |
transcript.whisperx[847].start |
24449.78 |
transcript.whisperx[847].end |
24472.627 |
transcript.whisperx[847].text |
請問世衛部做了什麼事情?目前我們在國科會的支持跟領導之下,我們有參與所謂的銀髮科技的部分,我們也會高齡科技的部分,所以我們也會在高齡科技這一塊去強調所謂的help helper,就是協助照顧者還有被照顧者。據我所知,包括這個業界當中,就是做得非常少。 |
transcript.whisperx[848].start |
24473.387 |
transcript.whisperx[848].end |
24473.547 |
transcript.whisperx[848].text |
目前執行狀況11.8% |
transcript.whisperx[849].start |
24493.948 |
transcript.whisperx[849].end |
24511.193 |
transcript.whisperx[849].text |
那這個錢既然用不出去,為什麼用不出去?那可不可以,剛才那個問題那麼嚴重,那邊變了多少預算?是不是你們想要做事情,是不是落差非常的大?可不可以以這個經費,可以來加強到年齡的數位落差? |
transcript.whisperx[850].start |
24512.413 |
transcript.whisperx[850].end |
24527.831 |
transcript.whisperx[850].text |
跟委員報告這個部分是前瞻預算那前瞻預算當初是有法源規定我們就是拿來當初法源規定就是用在偏鄉用區域對但是區域裡面現在我覺得我們腦筋都很硬沒關係現在為什麼你的錢花不出去 |
transcript.whisperx[851].start |
24529.072 |
transcript.whisperx[851].end |
24543.224 |
transcript.whisperx[851].text |
因為剛才他偏鄉落差只有兩成嘛,那個可能你們探討需求沒有那麼大,而且按照我們的這個通訊的電信業者當中,你跟他疊藏家屋咧,他們裡面有這個基金也是在做偏鄉。 |
transcript.whisperx[852].start |
24544.565 |
transcript.whisperx[852].end |
24545.186 |
transcript.whisperx[852].text |
我們的區域是以人來計算的 |
transcript.whisperx[853].start |
24570.826 |
transcript.whisperx[853].end |
24571.707 |
transcript.whisperx[853].text |
主席主席主席 |
transcript.whisperx[854].start |
24585.939 |
transcript.whisperx[854].end |
24586.66 |
transcript.whisperx[854].text |
這一點可不可以? |
transcript.whisperx[855].start |
24606.84 |
transcript.whisperx[855].end |
24629.354 |
transcript.whisperx[855].text |
跟委員報告前瞻基礎要截止,我實在沒有辦法再跟你承諾,但我們會承諾去,一定會從數位部的預算裡面去納入年齡數位落差的改善。對,然後也在我們從區域的數位改善來重視使用者,特別是高齡者的數位。這個沒有問題。謝謝。謝謝吳淳騰委員的諮詢。緊接著我們請王一鳴委員,王一鳴委員,王一鳴委員不在。緊接著請徐欣穎委員諮詢。 |
transcript.whisperx[856].start |
24637.259 |
transcript.whisperx[856].end |
24637.44 |
transcript.whisperx[856].text |
本席 |
transcript.whisperx[857].start |
24653.965 |
transcript.whisperx[857].end |
24677.198 |
transcript.whisperx[857].text |
武陽高架橋到楊梅,全國人民都很清楚,在車上聊天,從北往南,碰到塞車他們就知道湖口到了。武陽高架從楊梅下來之後,一路一直塞到 |
transcript.whisperx[858].start |
24683.494 |
transcript.whisperx[858].end |
24687.879 |
transcript.whisperx[858].text |
本席就本席了解五陽高架從陽梅到頭份現在的進度怎麼樣? |
transcript.whisperx[859].start |
24695.497 |
transcript.whisperx[859].end |
24708.747 |
transcript.whisperx[859].text |
委員報告,就是羊頭高架,目前行政院已經核定了,所以現在正在做細部設計。已經進行細部設計,預計什麼時候動工?動工時間我可能還要再瞭解一下。這第一個問題。 |
transcript.whisperx[860].start |
24717.973 |
transcript.whisperx[860].end |
24736.684 |
transcript.whisperx[860].text |
那再來就是本席在第8屆擔任立委的時候,我不知道您還記得嗎?您那時候是高工局長。應該是吧。那時候我們全台灣有一個交流道,已經塞車塞了20幾年,到現在沒有改善,您知道是哪一個嗎? |
transcript.whisperx[861].start |
24739.68 |
transcript.whisperx[861].end |
24762.384 |
transcript.whisperx[861].text |
還是我們全臺灣交流道都塞得很嚴重,但是塞了20幾年到現在沒有改善?我跟委員報告,從我當時當高工局局長之後,後續的趙局長,其實我們在很多的路段也好,或者是在高速公路…沒有沒有,我現在先請教你,你知不知道哪一個交流道塞了20幾年到今天都完全沒有改善? |
transcript.whisperx[862].start |
24768.833 |
transcript.whisperx[862].end |
24772.654 |
transcript.whisperx[862].text |
主北交流道的改善案是您主持的。 |
transcript.whisperx[863].start |
24789.48 |
transcript.whisperx[863].end |
24789.62 |
transcript.whisperx[863].text |
委員會主席 |
transcript.whisperx[864].start |
24814.949 |
transcript.whisperx[864].end |
24816.309 |
transcript.whisperx[864].text |
竹北交流道本身就很有問題,早就該改善了。 |
transcript.whisperx[865].start |
24837.754 |
transcript.whisperx[865].end |
24863.394 |
transcript.whisperx[865].text |
但是一直沒有,所以本席希望這個部分交通部可以重視。我們除了羊頭高架路段,那只是紓解車潮,可是交流道的改善,它本身沒有任何的緩衝的路段。這個部分之前您還主持了很多次會議,那您還記得為什麼後來會胎死腹中? |
transcript.whisperx[866].start |
24866.457 |
transcript.whisperx[866].end |
24871.002 |
transcript.whisperx[866].text |
我想委員提到的那一部分我可以請高工局他們去研議看看,然後後續再向委員做一個報告。 |
transcript.whisperx[867].start |
24884.235 |
transcript.whisperx[867].end |
24893.879 |
transcript.whisperx[867].text |
全國唯一東西向快速道路沒有連接我們的一高或二高的,您知道在哪個縣市嗎?你現在講得出來東西向快速道路沒有連接任何的中山高或北二高應該是一條是台68、一條是台72 |
transcript.whisperx[868].start |
24911.929 |
transcript.whisperx[868].end |
24913.61 |
transcript.whisperx[868].text |
新竹縣市的,這個現在有在規劃嗎? |
transcript.whisperx[869].start |
24927.922 |
transcript.whisperx[869].end |
24949.712 |
transcript.whisperx[869].text |
有正視到這樣的一個問題。這個不是二十幾年,這個是三、四十年。委員這就是有它的困難度,所以我們有去想到這個到底是跟剛才講的這個高速公路來,就是羊頭看有沒有。沒有沒有沒有,那個跟羊頭沒有關。它會在經過那裡。 |
transcript.whisperx[870].start |
24950.452 |
transcript.whisperx[870].end |
24953.054 |
transcript.whisperx[870].text |
有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[871].start |
24963.078 |
transcript.whisperx[871].end |
24980.955 |
transcript.whisperx[871].text |
對,那個是,我剛才就講到說,它有兩個解決的方式,一個是跟台六十一來相結合,我們台六十一在那裡頭會有些相關的一個改善的方案,看是台六十一跟台六十八有沒有可能,或者是台六十八跟國益有沒有可能,那國益就是跟那個洋流公路來建起。 |
transcript.whisperx[872].start |
24983.598 |
transcript.whisperx[872].end |
24984.899 |
transcript.whisperx[872].text |
教育部主管預算凍結書面報告案 |
transcript.whisperx[873].start |
25005.169 |
transcript.whisperx[873].end |
25009.592 |
transcript.whisperx[873].text |
好,謝謝徐欣英委員的質詢。緊接我們請蘇清雄委員、蘇清雄委員、蘇清雄委員、蘇清雄委員不在。緊接我們請莊教兵委員質詢。 |
transcript.whisperx[874].start |
25038.428 |
transcript.whisperx[874].end |
25050.436 |
transcript.whisperx[874].text |
主席、在場的委員、先進列席的政務司長、市長、官員、會長、公路夥伴、媒體記者、女士先生。有請我們交通部陳次長、文化部的李次長和資通安全署的鄭副署長。鄭副署長 |
transcript.whisperx[875].start |
25057.476 |
transcript.whisperx[875].end |
25073.286 |
transcript.whisperx[875].text |
兩位次長好副次長好我想今天是趕快借用這個機會兩個部門在我剛前天針對國土辦問了一個問題基本上是跟港務公司所宣稱的那麼這個新聞請次長陳次長看一下因為目前傳出美國他們年初那個國會發現他們的 |
transcript.whisperx[876].start |
25075.367 |
transcript.whisperx[876].end |
25078.408 |
transcript.whisperx[876].text |
主管預算凍結書面報告案4案。主管預算凍結書面報告案4案。主管預算凍結書面報告案4案。 |
transcript.whisperx[877].start |
25097.194 |
transcript.whisperx[877].end |
25113.435 |
transcript.whisperx[877].text |
都用的是內部操控的傳輸內網,沒有治安管的問題,而且為求慎重起見,你們的新聞稿,這個新聞稿是港務公司發的,曾經請專業人員檢核,還跟數路發,請數位部再檢核,確定沒有這個問題,這個可能你不知道,但我讓你知道,這是港務公司發的新聞稿。 |
transcript.whisperx[878].start |
25113.976 |
transcript.whisperx[878].end |
25115.717 |
transcript.whisperx[878].text |
港務公司僅提供廠商的自我檢核資料備查,速發部並沒有協助檢核。 |
transcript.whisperx[879].start |
25139.446 |
transcript.whisperx[879].end |
25143.813 |
transcript.whisperx[879].text |
那我想你們兩個一定聽了一頭霧水齁我現在給大家看一個圖齁來請看這個圖齁目前呢 |
transcript.whisperx[880].start |
25149.222 |
transcript.whisperx[880].end |
25168.972 |
transcript.whisperx[880].text |
臺灣也存在在臺北港、基隆港跟高雄港都有橋式起重機,然後這裡面的晶片它透過傳輸可以經過衛星的方式讓對岸取得這些所在的位置,除了操作的機能之外它可以傳輸設備,基本上是這樣子。那這個事情是怎麼發現的呢?再往下一頁。 |
transcript.whisperx[881].start |
25171.094 |
transcript.whisperx[881].end |
25187.706 |
transcript.whisperx[881].text |
這個就是我們所謂的固定支架的架空機,其實過去用中國的不是多數,日本、荷蘭,可是這幾年大量的增加。那另外除了橋式的起重機之外,一般移動式的起重機往下看,雖然目前中國的不多,可是成長的幅度是最快。 |
transcript.whisperx[882].start |
25188.487 |
transcript.whisperx[882].end |
25188.587 |
transcript.whisperx[882].text |
理事長 |
transcript.whisperx[883].start |
25210.129 |
transcript.whisperx[883].end |
25235.105 |
transcript.whisperx[883].text |
你跟你們部門查詢後,有沒有確定你們有幫台灣港務公司去做這三個重要港口、港部的橋式起重機的安全查核?我是不是讓我們副署長說明一下?好,請。如果有人說明一下,我們的合作部分是他們會做這個專業的這個集合的結果,集合報告拿到我們數位部,然後我們三屬再去看這個集合報告的結果,然後再給予回憶跟建議,然後接著的話就是在 |
transcript.whisperx[884].start |
25235.565 |
transcript.whisperx[884].end |
25237.366 |
transcript.whisperx[884].text |
負責人負責人負責人負責人負責人負責人負責人負責負責負責負責負責負責負貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼貼 |
transcript.whisperx[885].start |
25255.091 |
transcript.whisperx[885].end |
25283.831 |
transcript.whisperx[885].text |
我們國安的查核速發部怎麼協助其他相關的部門?跟委員報告這個所謂的港口不管是商港或者是貨港在我們國土辦的定義裡面它都是關鍵基礎設施那港務公司現在是所謂的關鍵基礎設施提供者是營運這個關鍵基礎設施所以對我們來說我們的規範是只要你在營運關鍵基礎設施你就會被我們列入作為資安查核可能的範圍但 |
transcript.whisperx[886].start |
25284.952 |
transcript.whisperx[886].end |
25312.64 |
transcript.whisperx[886].text |
我們確實沒有去處理到這個貨櫃的,剛剛講的起重機的這一塊。但根據我們現在危害國家自通安全產品原則的這個部分,這個未來我們也期待把它加入我們要新修的自動安全法裡面。未來會,但是現階段沒有。現階段我們有,現階段我們用原則就已經在處理。我知道,來陳市長,就本案來講,你們要不要回去查一下港務公司,到底有沒有請人家蘇發部來幫他檢查,還是他自己做了檢查,把報告交給蘇發部就算數了? |
transcript.whisperx[887].start |
25313.761 |
transcript.whisperx[887].end |
25336.802 |
transcript.whisperx[887].text |
這部分我們來瞭解一下,然後把相關瞭解的情形來跟委員做說明。好,我想這個問題很嚴重,所以我才趁我們這次各部會都在場,前面兩個部會趕快合作。這個問題的發現也不是你們查出來的,是人家勞動部、治安署、安慰中心去查危險機遇才發現的。那請部會可不可以承諾,什麼時候可以給我一個確定的報告。 |
transcript.whisperx[888].start |
25338.777 |
transcript.whisperx[888].end |
25339.157 |
transcript.whisperx[888].text |
主席響鐘 |
transcript.whisperx[889].start |
25379.679 |
transcript.whisperx[889].end |
25380.619 |
transcript.whisperx[889].text |
國土署國科會能源署觀光署 |
transcript.whisperx[890].start |
25408.718 |
transcript.whisperx[890].end |
25409.459 |
transcript.whisperx[890].text |
新達港遠洋博區蘇郡經費到位了沒有? |
transcript.whisperx[891].start |
25422.781 |
transcript.whisperx[891].end |
25445.422 |
transcript.whisperx[891].text |
前瞻的經費我們已經到位,那目前跟高雄市海洋局在做如何執行,在做進一步的協調。什麼時候可以完成輸進?就在我們前瞻的有效期間到明年。我希望能夠確實按照你們計畫,完成這個輸進的任務。是,我們會跟高雄市海洋局密切合作。負4還是負3還是負2?我們會根據經費的他們的需求。經費多少? |
transcript.whisperx[892].start |
25446.182 |
transcript.whisperx[892].end |
25472.216 |
transcript.whisperx[892].text |
我們經費目前前瞻三期還有2億,還有2億多嗎?我前幾天剛開完會,我們要挖到富士,富士、遠洋博區,那個未來這個遊歷港碼頭才能順利建置,我說你那個遊歷港碼頭蓋不起來,這個我們會跟海洋局這邊密切來合作,這一定要確實去執行,是,那離岸風電目前一個興達海基,辦理南部的這個領頭羊,你覺得興達海基未來他的前景如何? |
transcript.whisperx[893].start |
25473.016 |
transcript.whisperx[893].end |
25499.354 |
transcript.whisperx[893].text |
我們後續的離岸風電的進程還是會按照我們規劃期程走所以國內的需求還是每年會有1.5G這樣的量那至於國內的製造業能不能順利拿到單我想我們這個你要協助我們的需求還是會確定國營事業配合政策去投入那麼多預算的能力結果後來沒有任何訂單那北部獨大應該南北均衡嘛這個問題已經點出好幾次了我希望你要想出對策去解決好那下一位請國科會國科會 |
transcript.whisperx[894].start |
25505.298 |
transcript.whisperx[894].end |
25517.154 |
transcript.whisperx[894].text |
副主委,南科的管理局目前所轄的範圍非常大,對不對?是。這個包括新成立的橋頭,包括未來的嘉義,還有屏東,對不對? |
transcript.whisperx[895].start |
25518.516 |
transcript.whisperx[895].end |
25523.378 |
transcript.whisperx[895].text |
有關教育部主管預算凍結書面報告案4案。有關教育部主管預算凍結書面報告案4案。 |
transcript.whisperx[896].start |
25538.528 |
transcript.whisperx[896].end |
25567.063 |
transcript.whisperx[896].text |
跟委員報告,那事實上我們之前南科有請證原額也有合訂的16位,那這一次我們的原額評鑑我昨天才開過會,那我們也是外部的委員也都一致的這個有共識,那我們會再跟人總這邊積極的請證人力。因為沒有人不能去做好服務,不能做好相關的規劃,你有那麼多的園區要去服務,要去規劃,要去執行,人力不足這個是很大的問題。 |
transcript.whisperx[897].start |
25567.483 |
transcript.whisperx[897].end |
25567.523 |
transcript.whisperx[897].text |
國土署 |
transcript.whisperx[898].start |
25583.683 |
transcript.whisperx[898].end |
25597.319 |
transcript.whisperx[898].text |
這個落實社會住宅那個社會住宅各縣市我們有中央建也有地方政府建這個配合新建這個社宅前三名的縣市有哪些不管是一般縣市或者五六都 |
transcript.whisperx[899].start |
25599.482 |
transcript.whisperx[899].end |
25625.495 |
transcript.whisperx[899].text |
報告委員,那目前來講,那蓋的比較多的,目前包括台北市,台北市,我們這邊的,這個數據可能我們還要查一下,前三名,前三名大概台北市,桃園市跟新北市吧,目前應該是這樣,集中在北部,對,北部,倒數,倒數這個前三名, |
transcript.whisperx[900].start |
25626.738 |
transcript.whisperx[900].end |
25627.418 |
transcript.whisperx[900].text |
市長你520會在嗎?不曉得 |
transcript.whisperx[901].start |
25658.104 |
transcript.whisperx[901].end |
25680.146 |
transcript.whisperx[901].text |
市出空屋也是一個方法,現在空屋率那麼高,那市出空屋也是一個做法?其實就是我們用包租貸款設宅,其實現階段已經大概有7萬8千戶左右。那等於它誘因只是說它免稅的提高而已嗎?對不對?你要有更多的誘因讓它市出,願意市出,或者你光是蓋這個社會住宅,有些縣市不配合或有配合都不好? |
transcript.whisperx[902].start |
25681.457 |
transcript.whisperx[902].end |
25698.427 |
transcript.whisperx[902].text |
所以有些建設真的做得不錯,但是你要有政策去導引讓現有空屋能夠釋出,這樣顯示也是資源浪費。這個速度其實還不錯啦,現在我們一個禮拜大概有600戶民間的房子轉入社會住宅。就是因為這個租金,就是這個租稅的問題嗎?租稅的誘因,就可以讓他們出來嗎?如果變成兩萬塊呢?其實我覺得現在還算順利啦。 |
transcript.whisperx[903].start |
25710.492 |
transcript.whisperx[903].end |
25714.197 |
transcript.whisperx[903].text |
其實台灣的空屋其實主要在偏鄉,所以都市內的空屋沒有想像中那麼多。 |
transcript.whisperx[904].start |
25727.062 |
transcript.whisperx[904].end |
25744.07 |
transcript.whisperx[904].text |
特別是這個特別是都市裡面還是有一些空屋存在就是六都還是有一些當然一定要有不能怎麼搬家一定要有空屋所以你要有一定的足夠的租稅的誘因讓他願意使用這部分如果有需要我們當然會跟財政部再多討論好謝謝那最後請觀光署 |
transcript.whisperx[905].start |
25755.622 |
transcript.whisperx[905].end |
25771.455 |
transcript.whisperx[905].text |
有鋼扇之眼要爭取的那現在就是說鋼扇之眼一段時間你要增加新的觀光元素所以我請市政府提報相關的強化計畫增加鋼扇之眼的觀光元素我希望觀光局能夠支持 |
transcript.whisperx[906].start |
25772.156 |
transcript.whisperx[906].end |
25772.937 |
transcript.whisperx[906].text |
水環境改善尤其據點,情人碼頭算不算? |
transcript.whisperx[907].start |
25792.591 |
transcript.whisperx[907].end |
25793.071 |
transcript.whisperx[907].text |
主管預算凍結書 |
transcript.whisperx[908].start |
25823.572 |
transcript.whisperx[908].end |
25827.557 |
transcript.whisperx[908].text |
林淑芬委員、葉正哲委員、蔡偉昌委員、蔡徐昌委員不在 |
transcript.whisperx[909].start |
25842.314 |
transcript.whisperx[909].end |
25854.765 |
transcript.whisperx[909].text |
張家俊委員、張家俊委員、張家瑩委員不在。許智傑委員、許智傑委員、許智瑩委員不在。邱昀文委員、邱昀文委員、邱昀文委員、邱昀文委員不在。魯明哲委員、魯明哲委員、魯明哲委員不在。賴慧雲委員、賴慧雲委員、賴慧雲委員不在。 |
transcript.whisperx[910].start |
25856.141 |
transcript.whisperx[910].end |
25873.87 |
transcript.whisperx[910].text |
好,今日登記發言委軍議,詢答完畢。針對中央政府前瞻基礎建設計畫第4期特別預算解凍案,包括原住民委員會主管1案、內政部主管2案、教育部主管1案、經濟部主管6案、交通部主管4案,行政 |
transcript.whisperx[911].start |
25875.431 |
transcript.whisperx[911].end |
25886.016 |
transcript.whisperx[911].text |
農業部主管一案。衛生福利部主管三案。環境部主管一案。速發部主管三案。國科會主管二案。請問各位委員有無異議。 |
transcript.whisperx[912].start |
25887.597 |
transcript.whisperx[912].end |
25911.851 |
transcript.whisperx[912].text |
無異議通過審查完略。准予動之提報。願會。針對中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算解凍案,包括內政部主管一案及交通部主管二案。請問各位委員有無異議。通過審查完略。欸欸欸!稍等欸稍等。審查完略。准予動之提報。願會。 |
transcript.whisperx[913].start |
25916.465 |
transcript.whisperx[913].end |
25931.315 |
transcript.whisperx[913].text |
好。本次會議作如下決議。說明及詢問到完畢。委員質詢及為其答覆或補充資訊,請相關部會於一週內以書面答覆。委員另要求期限者從其所定。 |
transcript.whisperx[914].start |
25931.895 |
transcript.whisperx[914].end |
25954.893 |
transcript.whisperx[914].text |
委員袁寬恆、謝一鳳、葉元之、蘇金權、盧憲一、陳超銘、李柏毅、林黛樺、劉建國、邱議員、張家俊、邱振鈞、廖偉翔、王育敏、牛許廷、吳清明、蔡宜瑜、賴慧媛所提書面質詢委員王振旭所提書面補充資料均列入紀錄刊登公報並請相關部會以書面答覆。 |
transcript.whisperx[915].start |
25956.337 |
transcript.whisperx[915].end |
25983.943 |
transcript.whisperx[915].text |
是,針對中央政府前瞻建設計畫第4期特別預算解凍案50案及中央政府疫後強化經濟與社會韌性及全民共享經濟成果特別預算解凍案施案均處理完均,准予動之提報院會。請問各位委員針對以上決議有無異議。好,通過。令本次會議議事錄 |
transcript.whisperx[916].start |
25985.842 |
transcript.whisperx[916].end |
26000.107 |
transcript.whisperx[916].text |
授權由本席核定後確定,請問各位委員有無異議?無異議通過。本次會議議程已進行完畢,堂有不在場委員補題書面質詢,一併列入紀錄,刊登公報,並請議事人員協助處理。 |