IVOD_ID |
15719 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15719 |
日期 |
2024-03-13 |
會議資料.會議代碼 |
委員會-11-1-19-3 |
會議資料.會議代碼:str |
第11屆第1會期經濟委員會第3次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
1 |
會議資料.會次 |
3 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
19 |
會議資料.委員會代碼:str[0] |
經濟委員會 |
會議資料.標題 |
第11屆第1會期經濟委員會第3次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-03-13T08:30:00+08:00 |
結束時間 |
2024-03-13T12:22:00+08:00 |
影片長度 |
03:52:00 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbd26331c83256afb86425655b8120616f3be8d109af184be43c84e93c63511f755ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-03-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第1會期經濟委員會第3次全體委員會議(事由:邀請經濟部部長列席報告業務概況,並備質詢。【3月11日、13日及14日三天一次會】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:00 - 12:22:00 |
transcript.pyannote[0].speaker |
SPEAKER_27 |
transcript.pyannote[0].start |
123.30284375 |
transcript.pyannote[0].end |
124.70346875 |
transcript.pyannote[1].speaker |
SPEAKER_12 |
transcript.pyannote[1].start |
125.90159375 |
transcript.pyannote[1].end |
127.33596875 |
transcript.pyannote[2].speaker |
SPEAKER_27 |
transcript.pyannote[2].start |
676.75221875 |
transcript.pyannote[2].end |
677.84909375 |
transcript.pyannote[3].speaker |
SPEAKER_22 |
transcript.pyannote[3].start |
1854.81284375 |
transcript.pyannote[3].end |
1858.27221875 |
transcript.pyannote[4].speaker |
SPEAKER_22 |
transcript.pyannote[4].start |
1859.06534375 |
transcript.pyannote[4].end |
1863.85784375 |
transcript.pyannote[5].speaker |
SPEAKER_22 |
transcript.pyannote[5].start |
1868.00909375 |
transcript.pyannote[5].end |
1874.62409375 |
transcript.pyannote[6].speaker |
SPEAKER_22 |
transcript.pyannote[6].start |
1875.24846875 |
transcript.pyannote[6].end |
1876.91909375 |
transcript.pyannote[7].speaker |
SPEAKER_22 |
transcript.pyannote[7].start |
1877.27346875 |
transcript.pyannote[7].end |
1879.50096875 |
transcript.pyannote[8].speaker |
SPEAKER_22 |
transcript.pyannote[8].start |
1880.07471875 |
transcript.pyannote[8].end |
1883.55096875 |
transcript.pyannote[9].speaker |
SPEAKER_22 |
transcript.pyannote[9].start |
1884.46221875 |
transcript.pyannote[9].end |
1886.87534375 |
transcript.pyannote[10].speaker |
SPEAKER_22 |
transcript.pyannote[10].start |
1887.88784375 |
transcript.pyannote[10].end |
1890.70596875 |
transcript.pyannote[11].speaker |
SPEAKER_22 |
transcript.pyannote[11].start |
1891.88721875 |
transcript.pyannote[11].end |
1895.41409375 |
transcript.pyannote[12].speaker |
SPEAKER_22 |
transcript.pyannote[12].start |
1895.95409375 |
transcript.pyannote[12].end |
1899.43034375 |
transcript.pyannote[13].speaker |
SPEAKER_22 |
transcript.pyannote[13].start |
1900.32471875 |
transcript.pyannote[13].end |
1908.05346875 |
transcript.pyannote[14].speaker |
SPEAKER_22 |
transcript.pyannote[14].start |
1908.71159375 |
transcript.pyannote[14].end |
1912.06971875 |
transcript.pyannote[15].speaker |
SPEAKER_22 |
transcript.pyannote[15].start |
1912.25534375 |
transcript.pyannote[15].end |
1914.66846875 |
transcript.pyannote[16].speaker |
SPEAKER_22 |
transcript.pyannote[16].start |
1915.91721875 |
transcript.pyannote[16].end |
1918.53284375 |
transcript.pyannote[17].speaker |
SPEAKER_22 |
transcript.pyannote[17].start |
1919.07284375 |
transcript.pyannote[17].end |
1921.60409375 |
transcript.pyannote[18].speaker |
SPEAKER_22 |
transcript.pyannote[18].start |
1923.07221875 |
transcript.pyannote[18].end |
1925.28284375 |
transcript.pyannote[19].speaker |
SPEAKER_22 |
transcript.pyannote[19].start |
1926.04221875 |
transcript.pyannote[19].end |
1928.42159375 |
transcript.pyannote[20].speaker |
SPEAKER_22 |
transcript.pyannote[20].start |
1929.02909375 |
transcript.pyannote[20].end |
1931.05409375 |
transcript.pyannote[21].speaker |
SPEAKER_22 |
transcript.pyannote[21].start |
1931.69534375 |
transcript.pyannote[21].end |
1935.69471875 |
transcript.pyannote[22].speaker |
SPEAKER_24 |
transcript.pyannote[22].start |
1936.96034375 |
transcript.pyannote[22].end |
1937.21346875 |
transcript.pyannote[23].speaker |
SPEAKER_22 |
transcript.pyannote[23].start |
1937.50034375 |
transcript.pyannote[23].end |
1943.50784375 |
transcript.pyannote[24].speaker |
SPEAKER_22 |
transcript.pyannote[24].start |
1944.03096875 |
transcript.pyannote[24].end |
1947.03471875 |
transcript.pyannote[25].speaker |
SPEAKER_22 |
transcript.pyannote[25].start |
1947.33846875 |
transcript.pyannote[25].end |
1949.36346875 |
transcript.pyannote[26].speaker |
SPEAKER_22 |
transcript.pyannote[26].start |
1950.61221875 |
transcript.pyannote[26].end |
1954.37534375 |
transcript.pyannote[27].speaker |
SPEAKER_22 |
transcript.pyannote[27].start |
1955.16846875 |
transcript.pyannote[27].end |
1955.99534375 |
transcript.pyannote[28].speaker |
SPEAKER_22 |
transcript.pyannote[28].start |
1956.80534375 |
transcript.pyannote[28].end |
1958.29034375 |
transcript.pyannote[29].speaker |
SPEAKER_22 |
transcript.pyannote[29].start |
1959.45471875 |
transcript.pyannote[29].end |
1963.03221875 |
transcript.pyannote[30].speaker |
SPEAKER_22 |
transcript.pyannote[30].start |
1963.45409375 |
transcript.pyannote[30].end |
1967.36909375 |
transcript.pyannote[31].speaker |
SPEAKER_22 |
transcript.pyannote[31].start |
1968.24659375 |
transcript.pyannote[31].end |
1971.04784375 |
transcript.pyannote[32].speaker |
SPEAKER_22 |
transcript.pyannote[32].start |
1972.09409375 |
transcript.pyannote[32].end |
1972.71846875 |
transcript.pyannote[33].speaker |
SPEAKER_22 |
transcript.pyannote[33].start |
1973.17409375 |
transcript.pyannote[33].end |
1978.00034375 |
transcript.pyannote[34].speaker |
SPEAKER_22 |
transcript.pyannote[34].start |
1978.62471875 |
transcript.pyannote[34].end |
1981.22346875 |
transcript.pyannote[35].speaker |
SPEAKER_22 |
transcript.pyannote[35].start |
1981.79721875 |
transcript.pyannote[35].end |
1982.59034375 |
transcript.pyannote[36].speaker |
SPEAKER_22 |
transcript.pyannote[36].start |
1983.21471875 |
transcript.pyannote[36].end |
1986.13409375 |
transcript.pyannote[37].speaker |
SPEAKER_22 |
transcript.pyannote[37].start |
1987.45034375 |
transcript.pyannote[37].end |
1991.09534375 |
transcript.pyannote[38].speaker |
SPEAKER_22 |
transcript.pyannote[38].start |
1992.12471875 |
transcript.pyannote[38].end |
1994.26784375 |
transcript.pyannote[39].speaker |
SPEAKER_22 |
transcript.pyannote[39].start |
1995.24659375 |
transcript.pyannote[39].end |
1997.94659375 |
transcript.pyannote[40].speaker |
SPEAKER_22 |
transcript.pyannote[40].start |
1998.75659375 |
transcript.pyannote[40].end |
1999.39784375 |
transcript.pyannote[41].speaker |
SPEAKER_22 |
transcript.pyannote[41].start |
1999.80284375 |
transcript.pyannote[41].end |
2001.77721875 |
transcript.pyannote[42].speaker |
SPEAKER_22 |
transcript.pyannote[42].start |
2001.96284375 |
transcript.pyannote[42].end |
2002.85721875 |
transcript.pyannote[43].speaker |
SPEAKER_22 |
transcript.pyannote[43].start |
2003.92034375 |
transcript.pyannote[43].end |
2008.13909375 |
transcript.pyannote[44].speaker |
SPEAKER_20 |
transcript.pyannote[44].start |
2021.45346875 |
transcript.pyannote[44].end |
2030.71784375 |
transcript.pyannote[45].speaker |
SPEAKER_20 |
transcript.pyannote[45].start |
2030.98784375 |
transcript.pyannote[45].end |
2069.51346875 |
transcript.pyannote[46].speaker |
SPEAKER_20 |
transcript.pyannote[46].start |
2069.81721875 |
transcript.pyannote[46].end |
2073.93471875 |
transcript.pyannote[47].speaker |
SPEAKER_20 |
transcript.pyannote[47].start |
2074.13721875 |
transcript.pyannote[47].end |
2075.72346875 |
transcript.pyannote[48].speaker |
SPEAKER_20 |
transcript.pyannote[48].start |
2075.94284375 |
transcript.pyannote[48].end |
2119.10909375 |
transcript.pyannote[49].speaker |
SPEAKER_20 |
transcript.pyannote[49].start |
2119.29471875 |
transcript.pyannote[49].end |
2123.71596875 |
transcript.pyannote[50].speaker |
SPEAKER_20 |
transcript.pyannote[50].start |
2124.89721875 |
transcript.pyannote[50].end |
2135.91659375 |
transcript.pyannote[51].speaker |
SPEAKER_20 |
transcript.pyannote[51].start |
2136.67596875 |
transcript.pyannote[51].end |
2173.37909375 |
transcript.pyannote[52].speaker |
SPEAKER_20 |
transcript.pyannote[52].start |
2173.61534375 |
transcript.pyannote[52].end |
2180.06159375 |
transcript.pyannote[53].speaker |
SPEAKER_20 |
transcript.pyannote[53].start |
2180.39909375 |
transcript.pyannote[53].end |
2186.94659375 |
transcript.pyannote[54].speaker |
SPEAKER_20 |
transcript.pyannote[54].start |
2186.98034375 |
transcript.pyannote[54].end |
2196.02534375 |
transcript.pyannote[55].speaker |
SPEAKER_20 |
transcript.pyannote[55].start |
2196.37971875 |
transcript.pyannote[55].end |
2214.36846875 |
transcript.pyannote[56].speaker |
SPEAKER_20 |
transcript.pyannote[56].start |
2214.73971875 |
transcript.pyannote[56].end |
2218.35096875 |
transcript.pyannote[57].speaker |
SPEAKER_20 |
transcript.pyannote[57].start |
2218.85721875 |
transcript.pyannote[57].end |
2254.88534375 |
transcript.pyannote[58].speaker |
SPEAKER_20 |
transcript.pyannote[58].start |
2255.29034375 |
transcript.pyannote[58].end |
2263.13721875 |
transcript.pyannote[59].speaker |
SPEAKER_20 |
transcript.pyannote[59].start |
2264.47034375 |
transcript.pyannote[59].end |
2275.23659375 |
transcript.pyannote[60].speaker |
SPEAKER_20 |
transcript.pyannote[60].start |
2275.35471875 |
transcript.pyannote[60].end |
2286.91409375 |
transcript.pyannote[61].speaker |
SPEAKER_20 |
transcript.pyannote[61].start |
2287.42034375 |
transcript.pyannote[61].end |
2304.16034375 |
transcript.pyannote[62].speaker |
SPEAKER_20 |
transcript.pyannote[62].start |
2304.37971875 |
transcript.pyannote[62].end |
2316.83346875 |
transcript.pyannote[63].speaker |
SPEAKER_20 |
transcript.pyannote[63].start |
2317.13721875 |
transcript.pyannote[63].end |
2325.94596875 |
transcript.pyannote[64].speaker |
SPEAKER_20 |
transcript.pyannote[64].start |
2326.01346875 |
transcript.pyannote[64].end |
2326.06409375 |
transcript.pyannote[65].speaker |
SPEAKER_20 |
transcript.pyannote[65].start |
2326.18221875 |
transcript.pyannote[65].end |
2337.20159375 |
transcript.pyannote[66].speaker |
SPEAKER_20 |
transcript.pyannote[66].start |
2337.42096875 |
transcript.pyannote[66].end |
2339.88471875 |
transcript.pyannote[67].speaker |
SPEAKER_20 |
transcript.pyannote[67].start |
2340.10409375 |
transcript.pyannote[67].end |
2342.75346875 |
transcript.pyannote[68].speaker |
SPEAKER_20 |
transcript.pyannote[68].start |
2342.92221875 |
transcript.pyannote[68].end |
2361.14721875 |
transcript.pyannote[69].speaker |
SPEAKER_20 |
transcript.pyannote[69].start |
2362.32846875 |
transcript.pyannote[69].end |
2417.91471875 |
transcript.pyannote[70].speaker |
SPEAKER_20 |
transcript.pyannote[70].start |
2418.42096875 |
transcript.pyannote[70].end |
2423.19659375 |
transcript.pyannote[71].speaker |
SPEAKER_20 |
transcript.pyannote[71].start |
2423.58471875 |
transcript.pyannote[71].end |
2428.07346875 |
transcript.pyannote[72].speaker |
SPEAKER_20 |
transcript.pyannote[72].start |
2428.32659375 |
transcript.pyannote[72].end |
2431.31346875 |
transcript.pyannote[73].speaker |
SPEAKER_20 |
transcript.pyannote[73].start |
2431.61721875 |
transcript.pyannote[73].end |
2445.84284375 |
transcript.pyannote[74].speaker |
SPEAKER_20 |
transcript.pyannote[74].start |
2446.60221875 |
transcript.pyannote[74].end |
2452.23846875 |
transcript.pyannote[75].speaker |
SPEAKER_20 |
transcript.pyannote[75].start |
2452.40721875 |
transcript.pyannote[75].end |
2461.90784375 |
transcript.pyannote[76].speaker |
SPEAKER_20 |
transcript.pyannote[76].start |
2462.14409375 |
transcript.pyannote[76].end |
2466.61596875 |
transcript.pyannote[77].speaker |
SPEAKER_20 |
transcript.pyannote[77].start |
2466.80159375 |
transcript.pyannote[77].end |
2473.82159375 |
transcript.pyannote[78].speaker |
SPEAKER_20 |
transcript.pyannote[78].start |
2474.17596875 |
transcript.pyannote[78].end |
2480.13284375 |
transcript.pyannote[79].speaker |
SPEAKER_20 |
transcript.pyannote[79].start |
2480.60534375 |
transcript.pyannote[79].end |
2480.84159375 |
transcript.pyannote[80].speaker |
SPEAKER_20 |
transcript.pyannote[80].start |
2480.89221875 |
transcript.pyannote[80].end |
2482.32659375 |
transcript.pyannote[81].speaker |
SPEAKER_20 |
transcript.pyannote[81].start |
2483.54159375 |
transcript.pyannote[81].end |
2488.21596875 |
transcript.pyannote[82].speaker |
SPEAKER_20 |
transcript.pyannote[82].start |
2488.65471875 |
transcript.pyannote[82].end |
2518.64159375 |
transcript.pyannote[83].speaker |
SPEAKER_20 |
transcript.pyannote[83].start |
2518.87784375 |
transcript.pyannote[83].end |
2538.65534375 |
transcript.pyannote[84].speaker |
SPEAKER_20 |
transcript.pyannote[84].start |
2539.06034375 |
transcript.pyannote[84].end |
2544.73034375 |
transcript.pyannote[85].speaker |
SPEAKER_20 |
transcript.pyannote[85].start |
2545.11846875 |
transcript.pyannote[85].end |
2547.39659375 |
transcript.pyannote[86].speaker |
SPEAKER_20 |
transcript.pyannote[86].start |
2547.68346875 |
transcript.pyannote[86].end |
2555.78346875 |
transcript.pyannote[87].speaker |
SPEAKER_20 |
transcript.pyannote[87].start |
2556.08721875 |
transcript.pyannote[87].end |
2572.33784375 |
transcript.pyannote[88].speaker |
SPEAKER_20 |
transcript.pyannote[88].start |
2573.56971875 |
transcript.pyannote[88].end |
2590.74846875 |
transcript.pyannote[89].speaker |
SPEAKER_20 |
transcript.pyannote[89].start |
2591.10284375 |
transcript.pyannote[89].end |
2603.86034375 |
transcript.pyannote[90].speaker |
SPEAKER_20 |
transcript.pyannote[90].start |
2604.48471875 |
transcript.pyannote[90].end |
2606.50971875 |
transcript.pyannote[91].speaker |
SPEAKER_20 |
transcript.pyannote[91].start |
2606.79659375 |
transcript.pyannote[91].end |
2614.32284375 |
transcript.pyannote[92].speaker |
SPEAKER_20 |
transcript.pyannote[92].start |
2614.35659375 |
transcript.pyannote[92].end |
2616.73596875 |
transcript.pyannote[93].speaker |
SPEAKER_20 |
transcript.pyannote[93].start |
2616.83721875 |
transcript.pyannote[93].end |
2636.04096875 |
transcript.pyannote[94].speaker |
SPEAKER_20 |
transcript.pyannote[94].start |
2636.49659375 |
transcript.pyannote[94].end |
2654.02971875 |
transcript.pyannote[95].speaker |
SPEAKER_20 |
transcript.pyannote[95].start |
2654.56971875 |
transcript.pyannote[95].end |
2657.48909375 |
transcript.pyannote[96].speaker |
SPEAKER_20 |
transcript.pyannote[96].start |
2658.61971875 |
transcript.pyannote[96].end |
2679.54471875 |
transcript.pyannote[97].speaker |
SPEAKER_20 |
transcript.pyannote[97].start |
2679.57846875 |
transcript.pyannote[97].end |
2706.57846875 |
transcript.pyannote[98].speaker |
SPEAKER_20 |
transcript.pyannote[98].start |
2706.93284375 |
transcript.pyannote[98].end |
2709.14346875 |
transcript.pyannote[99].speaker |
SPEAKER_20 |
transcript.pyannote[99].start |
2709.32909375 |
transcript.pyannote[99].end |
2712.97409375 |
transcript.pyannote[100].speaker |
SPEAKER_20 |
transcript.pyannote[100].start |
2713.27784375 |
transcript.pyannote[100].end |
2718.28971875 |
transcript.pyannote[101].speaker |
SPEAKER_20 |
transcript.pyannote[101].start |
2718.94784375 |
transcript.pyannote[101].end |
2727.26721875 |
transcript.pyannote[102].speaker |
SPEAKER_20 |
transcript.pyannote[102].start |
2727.40221875 |
transcript.pyannote[102].end |
2730.16971875 |
transcript.pyannote[103].speaker |
SPEAKER_20 |
transcript.pyannote[103].start |
2730.28784375 |
transcript.pyannote[103].end |
2731.90784375 |
transcript.pyannote[104].speaker |
SPEAKER_20 |
transcript.pyannote[104].start |
2732.07659375 |
transcript.pyannote[104].end |
2734.70909375 |
transcript.pyannote[105].speaker |
SPEAKER_20 |
transcript.pyannote[105].start |
2734.94534375 |
transcript.pyannote[105].end |
2737.51034375 |
transcript.pyannote[106].speaker |
SPEAKER_20 |
transcript.pyannote[106].start |
2737.98284375 |
transcript.pyannote[106].end |
2750.01471875 |
transcript.pyannote[107].speaker |
SPEAKER_20 |
transcript.pyannote[107].start |
2750.53784375 |
transcript.pyannote[107].end |
2767.49721875 |
transcript.pyannote[108].speaker |
SPEAKER_20 |
transcript.pyannote[108].start |
2768.79659375 |
transcript.pyannote[108].end |
2793.78846875 |
transcript.pyannote[109].speaker |
SPEAKER_20 |
transcript.pyannote[109].start |
2793.92346875 |
transcript.pyannote[109].end |
2803.69409375 |
transcript.pyannote[110].speaker |
SPEAKER_20 |
transcript.pyannote[110].start |
2803.77846875 |
transcript.pyannote[110].end |
2807.03534375 |
transcript.pyannote[111].speaker |
SPEAKER_20 |
transcript.pyannote[111].start |
2807.74409375 |
transcript.pyannote[111].end |
2815.55721875 |
transcript.pyannote[112].speaker |
SPEAKER_20 |
transcript.pyannote[112].start |
2815.99596875 |
transcript.pyannote[112].end |
2823.35346875 |
transcript.pyannote[113].speaker |
SPEAKER_20 |
transcript.pyannote[113].start |
2823.80909375 |
transcript.pyannote[113].end |
2828.33159375 |
transcript.pyannote[114].speaker |
SPEAKER_20 |
transcript.pyannote[114].start |
2828.78721875 |
transcript.pyannote[114].end |
2833.02284375 |
transcript.pyannote[115].speaker |
SPEAKER_20 |
transcript.pyannote[115].start |
2833.07346875 |
transcript.pyannote[115].end |
2837.86596875 |
transcript.pyannote[116].speaker |
SPEAKER_20 |
transcript.pyannote[116].start |
2838.10221875 |
transcript.pyannote[116].end |
2843.89034375 |
transcript.pyannote[117].speaker |
SPEAKER_20 |
transcript.pyannote[117].start |
2844.31221875 |
transcript.pyannote[117].end |
2849.52659375 |
transcript.pyannote[118].speaker |
SPEAKER_20 |
transcript.pyannote[118].start |
2849.56034375 |
transcript.pyannote[118].end |
2857.15409375 |
transcript.pyannote[119].speaker |
SPEAKER_20 |
transcript.pyannote[119].start |
2857.33971875 |
transcript.pyannote[119].end |
2880.32346875 |
transcript.pyannote[120].speaker |
SPEAKER_20 |
transcript.pyannote[120].start |
2880.81284375 |
transcript.pyannote[120].end |
2883.22596875 |
transcript.pyannote[121].speaker |
SPEAKER_20 |
transcript.pyannote[121].start |
2884.32284375 |
transcript.pyannote[121].end |
2909.53409375 |
transcript.pyannote[122].speaker |
SPEAKER_20 |
transcript.pyannote[122].start |
2909.90534375 |
transcript.pyannote[122].end |
2911.89659375 |
transcript.pyannote[123].speaker |
SPEAKER_20 |
transcript.pyannote[123].start |
2912.08221875 |
transcript.pyannote[123].end |
2919.59159375 |
transcript.pyannote[124].speaker |
SPEAKER_20 |
transcript.pyannote[124].start |
2919.91221875 |
transcript.pyannote[124].end |
2921.76846875 |
transcript.pyannote[125].speaker |
SPEAKER_20 |
transcript.pyannote[125].start |
2921.95409375 |
transcript.pyannote[125].end |
2928.18096875 |
transcript.pyannote[126].speaker |
SPEAKER_20 |
transcript.pyannote[126].start |
2928.43409375 |
transcript.pyannote[126].end |
2932.33221875 |
transcript.pyannote[127].speaker |
SPEAKER_20 |
transcript.pyannote[127].start |
2932.90596875 |
transcript.pyannote[127].end |
2941.39409375 |
transcript.pyannote[128].speaker |
SPEAKER_20 |
transcript.pyannote[128].start |
2941.51221875 |
transcript.pyannote[128].end |
2953.24034375 |
transcript.pyannote[129].speaker |
SPEAKER_20 |
transcript.pyannote[129].start |
2953.42596875 |
transcript.pyannote[129].end |
2959.07909375 |
transcript.pyannote[130].speaker |
SPEAKER_20 |
transcript.pyannote[130].start |
2959.48409375 |
transcript.pyannote[130].end |
2990.28096875 |
transcript.pyannote[131].speaker |
SPEAKER_20 |
transcript.pyannote[131].start |
2990.58471875 |
transcript.pyannote[131].end |
2992.98096875 |
transcript.pyannote[132].speaker |
SPEAKER_20 |
transcript.pyannote[132].start |
2993.11596875 |
transcript.pyannote[132].end |
2997.53721875 |
transcript.pyannote[133].speaker |
SPEAKER_20 |
transcript.pyannote[133].start |
2997.85784375 |
transcript.pyannote[133].end |
3002.09346875 |
transcript.pyannote[134].speaker |
SPEAKER_20 |
transcript.pyannote[134].start |
3003.44346875 |
transcript.pyannote[134].end |
3021.24659375 |
transcript.pyannote[135].speaker |
SPEAKER_20 |
transcript.pyannote[135].start |
3021.33096875 |
transcript.pyannote[135].end |
3032.02971875 |
transcript.pyannote[136].speaker |
SPEAKER_20 |
transcript.pyannote[136].start |
3032.40096875 |
transcript.pyannote[136].end |
3040.58534375 |
transcript.pyannote[137].speaker |
SPEAKER_20 |
transcript.pyannote[137].start |
3040.99034375 |
transcript.pyannote[137].end |
3068.81721875 |
transcript.pyannote[138].speaker |
SPEAKER_20 |
transcript.pyannote[138].start |
3069.28971875 |
transcript.pyannote[138].end |
3081.92909375 |
transcript.pyannote[139].speaker |
SPEAKER_20 |
transcript.pyannote[139].start |
3082.31721875 |
transcript.pyannote[139].end |
3086.14784375 |
transcript.pyannote[140].speaker |
SPEAKER_20 |
transcript.pyannote[140].start |
3086.41784375 |
transcript.pyannote[140].end |
3088.15596875 |
transcript.pyannote[141].speaker |
SPEAKER_20 |
transcript.pyannote[141].start |
3088.34159375 |
transcript.pyannote[141].end |
3090.16409375 |
transcript.pyannote[142].speaker |
SPEAKER_20 |
transcript.pyannote[142].start |
3090.38346875 |
transcript.pyannote[142].end |
3092.96534375 |
transcript.pyannote[143].speaker |
SPEAKER_20 |
transcript.pyannote[143].start |
3093.13409375 |
transcript.pyannote[143].end |
3099.47909375 |
transcript.pyannote[144].speaker |
SPEAKER_20 |
transcript.pyannote[144].start |
3099.61409375 |
transcript.pyannote[144].end |
3102.90471875 |
transcript.pyannote[145].speaker |
SPEAKER_20 |
transcript.pyannote[145].start |
3103.07346875 |
transcript.pyannote[145].end |
3110.46471875 |
transcript.pyannote[146].speaker |
SPEAKER_22 |
transcript.pyannote[146].start |
3114.78471875 |
transcript.pyannote[146].end |
3121.60221875 |
transcript.pyannote[147].speaker |
SPEAKER_22 |
transcript.pyannote[147].start |
3121.90596875 |
transcript.pyannote[147].end |
3126.68159375 |
transcript.pyannote[148].speaker |
SPEAKER_22 |
transcript.pyannote[148].start |
3126.96846875 |
transcript.pyannote[148].end |
3133.53284375 |
transcript.pyannote[149].speaker |
SPEAKER_22 |
transcript.pyannote[149].start |
3136.09784375 |
transcript.pyannote[149].end |
3136.80659375 |
transcript.pyannote[150].speaker |
SPEAKER_22 |
transcript.pyannote[150].start |
3137.68409375 |
transcript.pyannote[150].end |
3138.17346875 |
transcript.pyannote[151].speaker |
SPEAKER_15 |
transcript.pyannote[151].start |
3138.17346875 |
transcript.pyannote[151].end |
3138.19034375 |
transcript.pyannote[152].speaker |
SPEAKER_15 |
transcript.pyannote[152].start |
3143.75909375 |
transcript.pyannote[152].end |
3156.73596875 |
transcript.pyannote[153].speaker |
SPEAKER_15 |
transcript.pyannote[153].start |
3157.39409375 |
transcript.pyannote[153].end |
3201.99471875 |
transcript.pyannote[154].speaker |
SPEAKER_00 |
transcript.pyannote[154].start |
3183.28034375 |
transcript.pyannote[154].end |
3183.31409375 |
transcript.pyannote[155].speaker |
SPEAKER_00 |
transcript.pyannote[155].start |
3183.51659375 |
transcript.pyannote[155].end |
3183.53346875 |
transcript.pyannote[156].speaker |
SPEAKER_15 |
transcript.pyannote[156].start |
3202.83846875 |
transcript.pyannote[156].end |
3334.17659375 |
transcript.pyannote[157].speaker |
SPEAKER_15 |
transcript.pyannote[157].start |
3334.68284375 |
transcript.pyannote[157].end |
3342.64784375 |
transcript.pyannote[158].speaker |
SPEAKER_15 |
transcript.pyannote[158].start |
3342.90096875 |
transcript.pyannote[158].end |
3360.19784375 |
transcript.pyannote[159].speaker |
SPEAKER_15 |
transcript.pyannote[159].start |
3360.75471875 |
transcript.pyannote[159].end |
3366.30659375 |
transcript.pyannote[160].speaker |
SPEAKER_15 |
transcript.pyannote[160].start |
3367.38659375 |
transcript.pyannote[160].end |
3377.93346875 |
transcript.pyannote[161].speaker |
SPEAKER_15 |
transcript.pyannote[161].start |
3378.59159375 |
transcript.pyannote[161].end |
3395.58471875 |
transcript.pyannote[162].speaker |
SPEAKER_15 |
transcript.pyannote[162].start |
3395.90534375 |
transcript.pyannote[162].end |
3416.22284375 |
transcript.pyannote[163].speaker |
SPEAKER_15 |
transcript.pyannote[163].start |
3416.56034375 |
transcript.pyannote[163].end |
3432.91221875 |
transcript.pyannote[164].speaker |
SPEAKER_15 |
transcript.pyannote[164].start |
3433.33409375 |
transcript.pyannote[164].end |
3436.81034375 |
transcript.pyannote[165].speaker |
SPEAKER_15 |
transcript.pyannote[165].start |
3437.11409375 |
transcript.pyannote[165].end |
3442.02471875 |
transcript.pyannote[166].speaker |
SPEAKER_15 |
transcript.pyannote[166].start |
3442.12596875 |
transcript.pyannote[166].end |
3446.69909375 |
transcript.pyannote[167].speaker |
SPEAKER_15 |
transcript.pyannote[167].start |
3446.83409375 |
transcript.pyannote[167].end |
3459.03471875 |
transcript.pyannote[168].speaker |
SPEAKER_15 |
transcript.pyannote[168].start |
3459.47346875 |
transcript.pyannote[168].end |
3476.51721875 |
transcript.pyannote[169].speaker |
SPEAKER_15 |
transcript.pyannote[169].start |
3476.88846875 |
transcript.pyannote[169].end |
3484.04346875 |
transcript.pyannote[170].speaker |
SPEAKER_15 |
transcript.pyannote[170].start |
3484.60034375 |
transcript.pyannote[170].end |
3506.35221875 |
transcript.pyannote[171].speaker |
SPEAKER_15 |
transcript.pyannote[171].start |
3507.01034375 |
transcript.pyannote[171].end |
3519.19409375 |
transcript.pyannote[172].speaker |
SPEAKER_15 |
transcript.pyannote[172].start |
3519.39659375 |
transcript.pyannote[172].end |
3528.91409375 |
transcript.pyannote[173].speaker |
SPEAKER_15 |
transcript.pyannote[173].start |
3529.33596875 |
transcript.pyannote[173].end |
3540.57471875 |
transcript.pyannote[174].speaker |
SPEAKER_15 |
transcript.pyannote[174].start |
3541.08096875 |
transcript.pyannote[174].end |
3550.10909375 |
transcript.pyannote[175].speaker |
SPEAKER_15 |
transcript.pyannote[175].start |
3550.48034375 |
transcript.pyannote[175].end |
3553.63596875 |
transcript.pyannote[176].speaker |
SPEAKER_15 |
transcript.pyannote[176].start |
3554.34471875 |
transcript.pyannote[176].end |
3565.00971875 |
transcript.pyannote[177].speaker |
SPEAKER_15 |
transcript.pyannote[177].start |
3565.39784375 |
transcript.pyannote[177].end |
3567.62534375 |
transcript.pyannote[178].speaker |
SPEAKER_15 |
transcript.pyannote[178].start |
3568.09784375 |
transcript.pyannote[178].end |
3578.99909375 |
transcript.pyannote[179].speaker |
SPEAKER_15 |
transcript.pyannote[179].start |
3579.38721875 |
transcript.pyannote[179].end |
3603.38346875 |
transcript.pyannote[180].speaker |
SPEAKER_15 |
transcript.pyannote[180].start |
3603.68721875 |
transcript.pyannote[180].end |
3612.74909375 |
transcript.pyannote[181].speaker |
SPEAKER_15 |
transcript.pyannote[181].start |
3612.96846875 |
transcript.pyannote[181].end |
3629.96159375 |
transcript.pyannote[182].speaker |
SPEAKER_15 |
transcript.pyannote[182].start |
3630.70409375 |
transcript.pyannote[182].end |
3660.48846875 |
transcript.pyannote[183].speaker |
SPEAKER_15 |
transcript.pyannote[183].start |
3660.82596875 |
transcript.pyannote[183].end |
3666.73221875 |
transcript.pyannote[184].speaker |
SPEAKER_15 |
transcript.pyannote[184].start |
3667.15409375 |
transcript.pyannote[184].end |
3737.37096875 |
transcript.pyannote[185].speaker |
SPEAKER_15 |
transcript.pyannote[185].start |
3738.01221875 |
transcript.pyannote[185].end |
3747.09096875 |
transcript.pyannote[186].speaker |
SPEAKER_15 |
transcript.pyannote[186].start |
3747.46221875 |
transcript.pyannote[186].end |
3759.86534375 |
transcript.pyannote[187].speaker |
SPEAKER_15 |
transcript.pyannote[187].start |
3760.69221875 |
transcript.pyannote[187].end |
3764.75909375 |
transcript.pyannote[188].speaker |
SPEAKER_15 |
transcript.pyannote[188].start |
3765.19784375 |
transcript.pyannote[188].end |
3796.56846875 |
transcript.pyannote[189].speaker |
SPEAKER_15 |
transcript.pyannote[189].start |
3796.92284375 |
transcript.pyannote[189].end |
3809.12346875 |
transcript.pyannote[190].speaker |
SPEAKER_20 |
transcript.pyannote[190].start |
3810.25409375 |
transcript.pyannote[190].end |
3819.11346875 |
transcript.pyannote[191].speaker |
SPEAKER_15 |
transcript.pyannote[191].start |
3818.16846875 |
transcript.pyannote[191].end |
3823.33221875 |
transcript.pyannote[192].speaker |
SPEAKER_20 |
transcript.pyannote[192].start |
3821.83034375 |
transcript.pyannote[192].end |
3823.85534375 |
transcript.pyannote[193].speaker |
SPEAKER_17 |
transcript.pyannote[193].start |
3826.80846875 |
transcript.pyannote[193].end |
3828.96846875 |
transcript.pyannote[194].speaker |
SPEAKER_17 |
transcript.pyannote[194].start |
3829.20471875 |
transcript.pyannote[194].end |
3830.97659375 |
transcript.pyannote[195].speaker |
SPEAKER_22 |
transcript.pyannote[195].start |
3835.24596875 |
transcript.pyannote[195].end |
3837.49034375 |
transcript.pyannote[196].speaker |
SPEAKER_17 |
transcript.pyannote[196].start |
3838.06409375 |
transcript.pyannote[196].end |
3839.32971875 |
transcript.pyannote[197].speaker |
SPEAKER_22 |
transcript.pyannote[197].start |
3843.17721875 |
transcript.pyannote[197].end |
3843.37971875 |
transcript.pyannote[198].speaker |
SPEAKER_22 |
transcript.pyannote[198].start |
3844.15596875 |
transcript.pyannote[198].end |
3852.07034375 |
transcript.pyannote[199].speaker |
SPEAKER_22 |
transcript.pyannote[199].start |
3852.23909375 |
transcript.pyannote[199].end |
3853.65659375 |
transcript.pyannote[200].speaker |
SPEAKER_22 |
transcript.pyannote[200].start |
3854.07846875 |
transcript.pyannote[200].end |
3854.71971875 |
transcript.pyannote[201].speaker |
SPEAKER_22 |
transcript.pyannote[201].start |
3854.98971875 |
transcript.pyannote[201].end |
3855.59721875 |
transcript.pyannote[202].speaker |
SPEAKER_22 |
transcript.pyannote[202].start |
3856.39034375 |
transcript.pyannote[202].end |
3896.36721875 |
transcript.pyannote[203].speaker |
SPEAKER_20 |
transcript.pyannote[203].start |
3896.36721875 |
transcript.pyannote[203].end |
3912.46596875 |
transcript.pyannote[204].speaker |
SPEAKER_20 |
transcript.pyannote[204].start |
3912.49971875 |
transcript.pyannote[204].end |
3914.77784375 |
transcript.pyannote[205].speaker |
SPEAKER_20 |
transcript.pyannote[205].start |
3915.04784375 |
transcript.pyannote[205].end |
3923.97471875 |
transcript.pyannote[206].speaker |
SPEAKER_22 |
transcript.pyannote[206].start |
3922.08471875 |
transcript.pyannote[206].end |
3923.23221875 |
transcript.pyannote[207].speaker |
SPEAKER_22 |
transcript.pyannote[207].start |
3923.97471875 |
transcript.pyannote[207].end |
3924.56534375 |
transcript.pyannote[208].speaker |
SPEAKER_20 |
transcript.pyannote[208].start |
3924.56534375 |
transcript.pyannote[208].end |
3924.97034375 |
transcript.pyannote[209].speaker |
SPEAKER_22 |
transcript.pyannote[209].start |
3924.97034375 |
transcript.pyannote[209].end |
3932.53034375 |
transcript.pyannote[210].speaker |
SPEAKER_20 |
transcript.pyannote[210].start |
3925.10534375 |
transcript.pyannote[210].end |
3926.23596875 |
transcript.pyannote[211].speaker |
SPEAKER_22 |
transcript.pyannote[211].start |
3932.93534375 |
transcript.pyannote[211].end |
3941.60909375 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
3936.14159375 |
transcript.pyannote[212].end |
3936.20909375 |
transcript.pyannote[213].speaker |
SPEAKER_27 |
transcript.pyannote[213].start |
3936.20909375 |
transcript.pyannote[213].end |
3936.22596875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
3936.22596875 |
transcript.pyannote[214].end |
3936.25971875 |
transcript.pyannote[215].speaker |
SPEAKER_27 |
transcript.pyannote[215].start |
3936.25971875 |
transcript.pyannote[215].end |
3936.32721875 |
transcript.pyannote[216].speaker |
SPEAKER_00 |
transcript.pyannote[216].start |
3936.32721875 |
transcript.pyannote[216].end |
3936.36096875 |
transcript.pyannote[217].speaker |
SPEAKER_27 |
transcript.pyannote[217].start |
3936.36096875 |
transcript.pyannote[217].end |
3936.47909375 |
transcript.pyannote[218].speaker |
SPEAKER_00 |
transcript.pyannote[218].start |
3936.47909375 |
transcript.pyannote[218].end |
3936.51284375 |
transcript.pyannote[219].speaker |
SPEAKER_20 |
transcript.pyannote[219].start |
3938.68971875 |
transcript.pyannote[219].end |
3939.87096875 |
transcript.pyannote[220].speaker |
SPEAKER_22 |
transcript.pyannote[220].start |
3941.94659375 |
transcript.pyannote[220].end |
3944.98409375 |
transcript.pyannote[221].speaker |
SPEAKER_20 |
transcript.pyannote[221].start |
3943.53284375 |
transcript.pyannote[221].end |
3955.54784375 |
transcript.pyannote[222].speaker |
SPEAKER_22 |
transcript.pyannote[222].start |
3947.83596875 |
transcript.pyannote[222].end |
3948.17346875 |
transcript.pyannote[223].speaker |
SPEAKER_22 |
transcript.pyannote[223].start |
3955.02471875 |
transcript.pyannote[223].end |
3961.45409375 |
transcript.pyannote[224].speaker |
SPEAKER_22 |
transcript.pyannote[224].start |
3961.89284375 |
transcript.pyannote[224].end |
3982.51409375 |
transcript.pyannote[225].speaker |
SPEAKER_20 |
transcript.pyannote[225].start |
3981.58596875 |
transcript.pyannote[225].end |
3982.96971875 |
transcript.pyannote[226].speaker |
SPEAKER_22 |
transcript.pyannote[226].start |
3982.96971875 |
transcript.pyannote[226].end |
3992.40284375 |
transcript.pyannote[227].speaker |
SPEAKER_20 |
transcript.pyannote[227].start |
3983.49284375 |
transcript.pyannote[227].end |
3983.96534375 |
transcript.pyannote[228].speaker |
SPEAKER_22 |
transcript.pyannote[228].start |
3992.72346875 |
transcript.pyannote[228].end |
3993.39846875 |
transcript.pyannote[229].speaker |
SPEAKER_22 |
transcript.pyannote[229].start |
3993.65159375 |
transcript.pyannote[229].end |
3997.43159375 |
transcript.pyannote[230].speaker |
SPEAKER_22 |
transcript.pyannote[230].start |
3998.88284375 |
transcript.pyannote[230].end |
4012.07909375 |
transcript.pyannote[231].speaker |
SPEAKER_22 |
transcript.pyannote[231].start |
4012.36596875 |
transcript.pyannote[231].end |
4015.65659375 |
transcript.pyannote[232].speaker |
SPEAKER_22 |
transcript.pyannote[232].start |
4016.73659375 |
transcript.pyannote[232].end |
4038.25221875 |
transcript.pyannote[233].speaker |
SPEAKER_22 |
transcript.pyannote[233].start |
4038.69096875 |
transcript.pyannote[233].end |
4043.80409375 |
transcript.pyannote[234].speaker |
SPEAKER_22 |
transcript.pyannote[234].start |
4044.29346875 |
transcript.pyannote[234].end |
4046.18346875 |
transcript.pyannote[235].speaker |
SPEAKER_22 |
transcript.pyannote[235].start |
4047.41534375 |
transcript.pyannote[235].end |
4052.03909375 |
transcript.pyannote[236].speaker |
SPEAKER_22 |
transcript.pyannote[236].start |
4052.37659375 |
transcript.pyannote[236].end |
4055.68409375 |
transcript.pyannote[237].speaker |
SPEAKER_22 |
transcript.pyannote[237].start |
4056.86534375 |
transcript.pyannote[237].end |
4058.73846875 |
transcript.pyannote[238].speaker |
SPEAKER_22 |
transcript.pyannote[238].start |
4059.16034375 |
transcript.pyannote[238].end |
4062.82221875 |
transcript.pyannote[239].speaker |
SPEAKER_22 |
transcript.pyannote[239].start |
4063.10909375 |
transcript.pyannote[239].end |
4065.23534375 |
transcript.pyannote[240].speaker |
SPEAKER_22 |
transcript.pyannote[240].start |
4065.28596875 |
transcript.pyannote[240].end |
4067.85096875 |
transcript.pyannote[241].speaker |
SPEAKER_20 |
transcript.pyannote[241].start |
4067.85096875 |
transcript.pyannote[241].end |
4107.76034375 |
transcript.pyannote[242].speaker |
SPEAKER_19 |
transcript.pyannote[242].start |
4087.29096875 |
transcript.pyannote[242].end |
4087.34159375 |
transcript.pyannote[243].speaker |
SPEAKER_22 |
transcript.pyannote[243].start |
4107.11909375 |
transcript.pyannote[243].end |
4107.77721875 |
transcript.pyannote[244].speaker |
SPEAKER_20 |
transcript.pyannote[244].start |
4107.77721875 |
transcript.pyannote[244].end |
4108.31721875 |
transcript.pyannote[245].speaker |
SPEAKER_22 |
transcript.pyannote[245].start |
4108.31721875 |
transcript.pyannote[245].end |
4108.35096875 |
transcript.pyannote[246].speaker |
SPEAKER_20 |
transcript.pyannote[246].start |
4108.35096875 |
transcript.pyannote[246].end |
4108.38471875 |
transcript.pyannote[247].speaker |
SPEAKER_22 |
transcript.pyannote[247].start |
4108.38471875 |
transcript.pyannote[247].end |
4108.45221875 |
transcript.pyannote[248].speaker |
SPEAKER_20 |
transcript.pyannote[248].start |
4108.45221875 |
transcript.pyannote[248].end |
4108.51971875 |
transcript.pyannote[249].speaker |
SPEAKER_22 |
transcript.pyannote[249].start |
4108.51971875 |
transcript.pyannote[249].end |
4131.03096875 |
transcript.pyannote[250].speaker |
SPEAKER_27 |
transcript.pyannote[250].start |
4114.45971875 |
transcript.pyannote[250].end |
4114.52721875 |
transcript.pyannote[251].speaker |
SPEAKER_27 |
transcript.pyannote[251].start |
4114.56096875 |
transcript.pyannote[251].end |
4114.79721875 |
transcript.pyannote[252].speaker |
SPEAKER_20 |
transcript.pyannote[252].start |
4120.88909375 |
transcript.pyannote[252].end |
4123.85909375 |
transcript.pyannote[253].speaker |
SPEAKER_22 |
transcript.pyannote[253].start |
4132.16159375 |
transcript.pyannote[253].end |
4137.22409375 |
transcript.pyannote[254].speaker |
SPEAKER_22 |
transcript.pyannote[254].start |
4137.74721875 |
transcript.pyannote[254].end |
4139.33346875 |
transcript.pyannote[255].speaker |
SPEAKER_22 |
transcript.pyannote[255].start |
4140.49784375 |
transcript.pyannote[255].end |
4142.79284375 |
transcript.pyannote[256].speaker |
SPEAKER_22 |
transcript.pyannote[256].start |
4143.53534375 |
transcript.pyannote[256].end |
4154.50409375 |
transcript.pyannote[257].speaker |
SPEAKER_22 |
transcript.pyannote[257].start |
4155.09471875 |
transcript.pyannote[257].end |
4160.03909375 |
transcript.pyannote[258].speaker |
SPEAKER_22 |
transcript.pyannote[258].start |
4161.20346875 |
transcript.pyannote[258].end |
4163.56596875 |
transcript.pyannote[259].speaker |
SPEAKER_22 |
transcript.pyannote[259].start |
4163.81909375 |
transcript.pyannote[259].end |
4168.62846875 |
transcript.pyannote[260].speaker |
SPEAKER_22 |
transcript.pyannote[260].start |
4170.02909375 |
transcript.pyannote[260].end |
4171.02471875 |
transcript.pyannote[261].speaker |
SPEAKER_29 |
transcript.pyannote[261].start |
4171.02471875 |
transcript.pyannote[261].end |
4179.29346875 |
transcript.pyannote[262].speaker |
SPEAKER_29 |
transcript.pyannote[262].start |
4179.66471875 |
transcript.pyannote[262].end |
4182.60096875 |
transcript.pyannote[263].speaker |
SPEAKER_29 |
transcript.pyannote[263].start |
4182.71909375 |
transcript.pyannote[263].end |
4194.10971875 |
transcript.pyannote[264].speaker |
SPEAKER_29 |
transcript.pyannote[264].start |
4194.21096875 |
transcript.pyannote[264].end |
4208.77409375 |
transcript.pyannote[265].speaker |
SPEAKER_22 |
transcript.pyannote[265].start |
4206.29346875 |
transcript.pyannote[265].end |
4212.38534375 |
transcript.pyannote[266].speaker |
SPEAKER_29 |
transcript.pyannote[266].start |
4211.65971875 |
transcript.pyannote[266].end |
4213.53284375 |
transcript.pyannote[267].speaker |
SPEAKER_22 |
transcript.pyannote[267].start |
4214.10659375 |
transcript.pyannote[267].end |
4214.39346875 |
transcript.pyannote[268].speaker |
SPEAKER_22 |
transcript.pyannote[268].start |
4214.84909375 |
transcript.pyannote[268].end |
4221.21096875 |
transcript.pyannote[269].speaker |
SPEAKER_27 |
transcript.pyannote[269].start |
4217.68409375 |
transcript.pyannote[269].end |
4217.93721875 |
transcript.pyannote[270].speaker |
SPEAKER_22 |
transcript.pyannote[270].start |
4221.34596875 |
transcript.pyannote[270].end |
4221.36284375 |
transcript.pyannote[271].speaker |
SPEAKER_27 |
transcript.pyannote[271].start |
4221.36284375 |
transcript.pyannote[271].end |
4221.73409375 |
transcript.pyannote[272].speaker |
SPEAKER_22 |
transcript.pyannote[272].start |
4221.48096875 |
transcript.pyannote[272].end |
4222.56096875 |
transcript.pyannote[273].speaker |
SPEAKER_22 |
transcript.pyannote[273].start |
4225.24409375 |
transcript.pyannote[273].end |
4226.62784375 |
transcript.pyannote[274].speaker |
SPEAKER_22 |
transcript.pyannote[274].start |
4227.04971875 |
transcript.pyannote[274].end |
4230.61034375 |
transcript.pyannote[275].speaker |
SPEAKER_22 |
transcript.pyannote[275].start |
4231.20096875 |
transcript.pyannote[275].end |
4238.84534375 |
transcript.pyannote[276].speaker |
SPEAKER_22 |
transcript.pyannote[276].start |
4239.04784375 |
transcript.pyannote[276].end |
4243.75596875 |
transcript.pyannote[277].speaker |
SPEAKER_22 |
transcript.pyannote[277].start |
4244.68409375 |
transcript.pyannote[277].end |
4246.13534375 |
transcript.pyannote[278].speaker |
SPEAKER_22 |
transcript.pyannote[278].start |
4246.43909375 |
transcript.pyannote[278].end |
4258.74096875 |
transcript.pyannote[279].speaker |
SPEAKER_00 |
transcript.pyannote[279].start |
4251.70409375 |
transcript.pyannote[279].end |
4251.94034375 |
transcript.pyannote[280].speaker |
SPEAKER_22 |
transcript.pyannote[280].start |
4259.06159375 |
transcript.pyannote[280].end |
4261.35659375 |
transcript.pyannote[281].speaker |
SPEAKER_22 |
transcript.pyannote[281].start |
4262.25096875 |
transcript.pyannote[281].end |
4262.80784375 |
transcript.pyannote[282].speaker |
SPEAKER_22 |
transcript.pyannote[282].start |
4263.43221875 |
transcript.pyannote[282].end |
4266.03096875 |
transcript.pyannote[283].speaker |
SPEAKER_22 |
transcript.pyannote[283].start |
4266.50346875 |
transcript.pyannote[283].end |
4267.53284375 |
transcript.pyannote[284].speaker |
SPEAKER_22 |
transcript.pyannote[284].start |
4268.07284375 |
transcript.pyannote[284].end |
4268.49471875 |
transcript.pyannote[285].speaker |
SPEAKER_22 |
transcript.pyannote[285].start |
4268.64659375 |
transcript.pyannote[285].end |
4269.45659375 |
transcript.pyannote[286].speaker |
SPEAKER_22 |
transcript.pyannote[286].start |
4270.18221875 |
transcript.pyannote[286].end |
4278.09659375 |
transcript.pyannote[287].speaker |
SPEAKER_20 |
transcript.pyannote[287].start |
4276.66221875 |
transcript.pyannote[287].end |
4276.89846875 |
transcript.pyannote[288].speaker |
SPEAKER_20 |
transcript.pyannote[288].start |
4278.09659375 |
transcript.pyannote[288].end |
4278.24846875 |
transcript.pyannote[289].speaker |
SPEAKER_22 |
transcript.pyannote[289].start |
4278.24846875 |
transcript.pyannote[289].end |
4279.02471875 |
transcript.pyannote[290].speaker |
SPEAKER_20 |
transcript.pyannote[290].start |
4279.02471875 |
transcript.pyannote[290].end |
4279.95284375 |
transcript.pyannote[291].speaker |
SPEAKER_20 |
transcript.pyannote[291].start |
4280.57721875 |
transcript.pyannote[291].end |
4281.89346875 |
transcript.pyannote[292].speaker |
SPEAKER_20 |
transcript.pyannote[292].start |
4282.26471875 |
transcript.pyannote[292].end |
4313.90534375 |
transcript.pyannote[293].speaker |
SPEAKER_00 |
transcript.pyannote[293].start |
4285.90971875 |
transcript.pyannote[293].end |
4286.44971875 |
transcript.pyannote[294].speaker |
SPEAKER_22 |
transcript.pyannote[294].start |
4312.97721875 |
transcript.pyannote[294].end |
4322.42721875 |
transcript.pyannote[295].speaker |
SPEAKER_22 |
transcript.pyannote[295].start |
4322.52846875 |
transcript.pyannote[295].end |
4322.78159375 |
transcript.pyannote[296].speaker |
SPEAKER_13 |
transcript.pyannote[296].start |
4322.78159375 |
transcript.pyannote[296].end |
4322.88284375 |
transcript.pyannote[297].speaker |
SPEAKER_22 |
transcript.pyannote[297].start |
4322.88284375 |
transcript.pyannote[297].end |
4322.91659375 |
transcript.pyannote[298].speaker |
SPEAKER_22 |
transcript.pyannote[298].start |
4323.20346875 |
transcript.pyannote[298].end |
4324.06409375 |
transcript.pyannote[299].speaker |
SPEAKER_22 |
transcript.pyannote[299].start |
4324.31721875 |
transcript.pyannote[299].end |
4329.17721875 |
transcript.pyannote[300].speaker |
SPEAKER_22 |
transcript.pyannote[300].start |
4329.39659375 |
transcript.pyannote[300].end |
4336.61909375 |
transcript.pyannote[301].speaker |
SPEAKER_27 |
transcript.pyannote[301].start |
4329.46409375 |
transcript.pyannote[301].end |
4330.03784375 |
transcript.pyannote[302].speaker |
SPEAKER_22 |
transcript.pyannote[302].start |
4337.27721875 |
transcript.pyannote[302].end |
4349.84909375 |
transcript.pyannote[303].speaker |
SPEAKER_22 |
transcript.pyannote[303].start |
4350.45659375 |
transcript.pyannote[303].end |
4359.02909375 |
transcript.pyannote[304].speaker |
SPEAKER_20 |
transcript.pyannote[304].start |
4359.02909375 |
transcript.pyannote[304].end |
4377.40596875 |
transcript.pyannote[305].speaker |
SPEAKER_22 |
transcript.pyannote[305].start |
4373.87909375 |
transcript.pyannote[305].end |
4374.75659375 |
transcript.pyannote[306].speaker |
SPEAKER_22 |
transcript.pyannote[306].start |
4375.87034375 |
transcript.pyannote[306].end |
4376.52846875 |
transcript.pyannote[307].speaker |
SPEAKER_22 |
transcript.pyannote[307].start |
4377.03471875 |
transcript.pyannote[307].end |
4382.23221875 |
transcript.pyannote[308].speaker |
SPEAKER_20 |
transcript.pyannote[308].start |
4381.00034375 |
transcript.pyannote[308].end |
4382.16471875 |
transcript.pyannote[309].speaker |
SPEAKER_20 |
transcript.pyannote[309].start |
4382.23221875 |
transcript.pyannote[309].end |
4382.36721875 |
transcript.pyannote[310].speaker |
SPEAKER_22 |
transcript.pyannote[310].start |
4382.36721875 |
transcript.pyannote[310].end |
4383.66659375 |
transcript.pyannote[311].speaker |
SPEAKER_20 |
transcript.pyannote[311].start |
4383.66659375 |
transcript.pyannote[311].end |
4383.73409375 |
transcript.pyannote[312].speaker |
SPEAKER_22 |
transcript.pyannote[312].start |
4383.73409375 |
transcript.pyannote[312].end |
4383.80159375 |
transcript.pyannote[313].speaker |
SPEAKER_20 |
transcript.pyannote[313].start |
4383.80159375 |
transcript.pyannote[313].end |
4384.99971875 |
transcript.pyannote[314].speaker |
SPEAKER_22 |
transcript.pyannote[314].start |
4384.99971875 |
transcript.pyannote[314].end |
4385.03346875 |
transcript.pyannote[315].speaker |
SPEAKER_20 |
transcript.pyannote[315].start |
4385.03346875 |
transcript.pyannote[315].end |
4385.55659375 |
transcript.pyannote[316].speaker |
SPEAKER_22 |
transcript.pyannote[316].start |
4385.06721875 |
transcript.pyannote[316].end |
4385.50596875 |
transcript.pyannote[317].speaker |
SPEAKER_22 |
transcript.pyannote[317].start |
4385.55659375 |
transcript.pyannote[317].end |
4391.76659375 |
transcript.pyannote[318].speaker |
SPEAKER_20 |
transcript.pyannote[318].start |
4389.47159375 |
transcript.pyannote[318].end |
4389.99471875 |
transcript.pyannote[319].speaker |
SPEAKER_20 |
transcript.pyannote[319].start |
4390.70346875 |
transcript.pyannote[319].end |
4390.97346875 |
transcript.pyannote[320].speaker |
SPEAKER_17 |
transcript.pyannote[320].start |
4390.97346875 |
transcript.pyannote[320].end |
4391.49659375 |
transcript.pyannote[321].speaker |
SPEAKER_22 |
transcript.pyannote[321].start |
4392.35721875 |
transcript.pyannote[321].end |
4392.39096875 |
transcript.pyannote[322].speaker |
SPEAKER_17 |
transcript.pyannote[322].start |
4392.39096875 |
transcript.pyannote[322].end |
4393.08284375 |
transcript.pyannote[323].speaker |
SPEAKER_17 |
transcript.pyannote[323].start |
4395.47909375 |
transcript.pyannote[323].end |
4398.11159375 |
transcript.pyannote[324].speaker |
SPEAKER_19 |
transcript.pyannote[324].start |
4409.01284375 |
transcript.pyannote[324].end |
4411.15596875 |
transcript.pyannote[325].speaker |
SPEAKER_19 |
transcript.pyannote[325].start |
4412.16846875 |
transcript.pyannote[325].end |
4412.84346875 |
transcript.pyannote[326].speaker |
SPEAKER_19 |
transcript.pyannote[326].start |
4418.47971875 |
transcript.pyannote[326].end |
4419.18846875 |
transcript.pyannote[327].speaker |
SPEAKER_19 |
transcript.pyannote[327].start |
4419.89721875 |
transcript.pyannote[327].end |
4420.50471875 |
transcript.pyannote[328].speaker |
SPEAKER_19 |
transcript.pyannote[328].start |
4421.04471875 |
transcript.pyannote[328].end |
4424.04846875 |
transcript.pyannote[329].speaker |
SPEAKER_19 |
transcript.pyannote[329].start |
4424.77409375 |
transcript.pyannote[329].end |
4426.79909375 |
transcript.pyannote[330].speaker |
SPEAKER_24 |
transcript.pyannote[330].start |
4424.92596875 |
transcript.pyannote[330].end |
4425.93846875 |
transcript.pyannote[331].speaker |
SPEAKER_19 |
transcript.pyannote[331].start |
4427.30534375 |
transcript.pyannote[331].end |
4432.90784375 |
transcript.pyannote[332].speaker |
SPEAKER_20 |
transcript.pyannote[332].start |
4433.75159375 |
transcript.pyannote[332].end |
4439.13471875 |
transcript.pyannote[333].speaker |
SPEAKER_19 |
transcript.pyannote[333].start |
4439.13471875 |
transcript.pyannote[333].end |
4445.19284375 |
transcript.pyannote[334].speaker |
SPEAKER_20 |
transcript.pyannote[334].start |
4444.21409375 |
transcript.pyannote[334].end |
4470.80909375 |
transcript.pyannote[335].speaker |
SPEAKER_19 |
transcript.pyannote[335].start |
4470.80909375 |
transcript.pyannote[335].end |
4470.85971875 |
transcript.pyannote[336].speaker |
SPEAKER_20 |
transcript.pyannote[336].start |
4470.85971875 |
transcript.pyannote[336].end |
4470.94409375 |
transcript.pyannote[337].speaker |
SPEAKER_19 |
transcript.pyannote[337].start |
4470.94409375 |
transcript.pyannote[337].end |
4471.11284375 |
transcript.pyannote[338].speaker |
SPEAKER_20 |
transcript.pyannote[338].start |
4471.65284375 |
transcript.pyannote[338].end |
4471.66971875 |
transcript.pyannote[339].speaker |
SPEAKER_19 |
transcript.pyannote[339].start |
4471.66971875 |
transcript.pyannote[339].end |
4480.10721875 |
transcript.pyannote[340].speaker |
SPEAKER_19 |
transcript.pyannote[340].start |
4480.76534375 |
transcript.pyannote[340].end |
4547.97846875 |
transcript.pyannote[341].speaker |
SPEAKER_20 |
transcript.pyannote[341].start |
4547.97846875 |
transcript.pyannote[341].end |
4555.96034375 |
transcript.pyannote[342].speaker |
SPEAKER_20 |
transcript.pyannote[342].start |
4556.56784375 |
transcript.pyannote[342].end |
4599.88596875 |
transcript.pyannote[343].speaker |
SPEAKER_20 |
transcript.pyannote[343].start |
4600.66221875 |
transcript.pyannote[343].end |
4612.69409375 |
transcript.pyannote[344].speaker |
SPEAKER_00 |
transcript.pyannote[344].start |
4609.42034375 |
transcript.pyannote[344].end |
4609.84221875 |
transcript.pyannote[345].speaker |
SPEAKER_20 |
transcript.pyannote[345].start |
4613.11596875 |
transcript.pyannote[345].end |
4620.06846875 |
transcript.pyannote[346].speaker |
SPEAKER_19 |
transcript.pyannote[346].start |
4620.06846875 |
transcript.pyannote[346].end |
4620.16971875 |
transcript.pyannote[347].speaker |
SPEAKER_19 |
transcript.pyannote[347].start |
4620.25409375 |
transcript.pyannote[347].end |
4620.33846875 |
transcript.pyannote[348].speaker |
SPEAKER_20 |
transcript.pyannote[348].start |
4620.33846875 |
transcript.pyannote[348].end |
4620.96284375 |
transcript.pyannote[349].speaker |
SPEAKER_19 |
transcript.pyannote[349].start |
4620.96284375 |
transcript.pyannote[349].end |
4645.02659375 |
transcript.pyannote[350].speaker |
SPEAKER_20 |
transcript.pyannote[350].start |
4645.02659375 |
transcript.pyannote[350].end |
4645.95471875 |
transcript.pyannote[351].speaker |
SPEAKER_19 |
transcript.pyannote[351].start |
4645.95471875 |
transcript.pyannote[351].end |
4645.97159375 |
transcript.pyannote[352].speaker |
SPEAKER_17 |
transcript.pyannote[352].start |
4645.95471875 |
transcript.pyannote[352].end |
4646.37659375 |
transcript.pyannote[353].speaker |
SPEAKER_20 |
transcript.pyannote[353].start |
4645.97159375 |
transcript.pyannote[353].end |
4689.96471875 |
transcript.pyannote[354].speaker |
SPEAKER_19 |
transcript.pyannote[354].start |
4689.96471875 |
transcript.pyannote[354].end |
4690.06596875 |
transcript.pyannote[355].speaker |
SPEAKER_19 |
transcript.pyannote[355].start |
4690.16721875 |
transcript.pyannote[355].end |
4743.79596875 |
transcript.pyannote[356].speaker |
SPEAKER_19 |
transcript.pyannote[356].start |
4743.99846875 |
transcript.pyannote[356].end |
4744.08284375 |
transcript.pyannote[357].speaker |
SPEAKER_20 |
transcript.pyannote[357].start |
4744.08284375 |
transcript.pyannote[357].end |
4755.86159375 |
transcript.pyannote[358].speaker |
SPEAKER_19 |
transcript.pyannote[358].start |
4755.16971875 |
transcript.pyannote[358].end |
4757.49846875 |
transcript.pyannote[359].speaker |
SPEAKER_20 |
transcript.pyannote[359].start |
4757.75159375 |
transcript.pyannote[359].end |
4777.96784375 |
transcript.pyannote[360].speaker |
SPEAKER_19 |
transcript.pyannote[360].start |
4777.96784375 |
transcript.pyannote[360].end |
4784.53221875 |
transcript.pyannote[361].speaker |
SPEAKER_19 |
transcript.pyannote[361].start |
4784.76846875 |
transcript.pyannote[361].end |
4793.77971875 |
transcript.pyannote[362].speaker |
SPEAKER_19 |
transcript.pyannote[362].start |
4794.21846875 |
transcript.pyannote[362].end |
4804.51221875 |
transcript.pyannote[363].speaker |
SPEAKER_19 |
transcript.pyannote[363].start |
4804.66409375 |
transcript.pyannote[363].end |
4807.21221875 |
transcript.pyannote[364].speaker |
SPEAKER_19 |
transcript.pyannote[364].start |
4807.75221875 |
transcript.pyannote[364].end |
4808.78159375 |
transcript.pyannote[365].speaker |
SPEAKER_20 |
transcript.pyannote[365].start |
4808.78159375 |
transcript.pyannote[365].end |
4820.40846875 |
transcript.pyannote[366].speaker |
SPEAKER_19 |
transcript.pyannote[366].start |
4814.83971875 |
transcript.pyannote[366].end |
4816.99971875 |
transcript.pyannote[367].speaker |
SPEAKER_19 |
transcript.pyannote[367].start |
4818.09659375 |
transcript.pyannote[367].end |
4822.11284375 |
transcript.pyannote[368].speaker |
SPEAKER_20 |
transcript.pyannote[368].start |
4821.87659375 |
transcript.pyannote[368].end |
4837.97534375 |
transcript.pyannote[369].speaker |
SPEAKER_19 |
transcript.pyannote[369].start |
4836.37221875 |
transcript.pyannote[369].end |
4836.60846875 |
transcript.pyannote[370].speaker |
SPEAKER_19 |
transcript.pyannote[370].start |
4837.97534375 |
transcript.pyannote[370].end |
4877.12534375 |
transcript.pyannote[371].speaker |
SPEAKER_20 |
transcript.pyannote[371].start |
4877.12534375 |
transcript.pyannote[371].end |
4922.08034375 |
transcript.pyannote[372].speaker |
SPEAKER_24 |
transcript.pyannote[372].start |
4886.82846875 |
transcript.pyannote[372].end |
4887.04784375 |
transcript.pyannote[373].speaker |
SPEAKER_20 |
transcript.pyannote[373].start |
4922.41784375 |
transcript.pyannote[373].end |
4923.16034375 |
transcript.pyannote[374].speaker |
SPEAKER_19 |
transcript.pyannote[374].start |
4922.46846875 |
transcript.pyannote[374].end |
4922.85659375 |
transcript.pyannote[375].speaker |
SPEAKER_16 |
transcript.pyannote[375].start |
4922.85659375 |
transcript.pyannote[375].end |
4922.89034375 |
transcript.pyannote[376].speaker |
SPEAKER_16 |
transcript.pyannote[376].start |
4927.68284375 |
transcript.pyannote[376].end |
4931.02409375 |
transcript.pyannote[377].speaker |
SPEAKER_06 |
transcript.pyannote[377].start |
4951.17284375 |
transcript.pyannote[377].end |
4952.06721875 |
transcript.pyannote[378].speaker |
SPEAKER_06 |
transcript.pyannote[378].start |
4952.18534375 |
transcript.pyannote[378].end |
4953.51846875 |
transcript.pyannote[379].speaker |
SPEAKER_17 |
transcript.pyannote[379].start |
4953.72096875 |
transcript.pyannote[379].end |
4954.71659375 |
transcript.pyannote[380].speaker |
SPEAKER_20 |
transcript.pyannote[380].start |
4960.25159375 |
transcript.pyannote[380].end |
4960.97721875 |
transcript.pyannote[381].speaker |
SPEAKER_06 |
transcript.pyannote[381].start |
4961.07846875 |
transcript.pyannote[381].end |
4964.74034375 |
transcript.pyannote[382].speaker |
SPEAKER_20 |
transcript.pyannote[382].start |
4961.55096875 |
transcript.pyannote[382].end |
4961.70284375 |
transcript.pyannote[383].speaker |
SPEAKER_06 |
transcript.pyannote[383].start |
4964.97659375 |
transcript.pyannote[383].end |
4966.25909375 |
transcript.pyannote[384].speaker |
SPEAKER_06 |
transcript.pyannote[384].start |
4966.73159375 |
transcript.pyannote[384].end |
4971.82784375 |
transcript.pyannote[385].speaker |
SPEAKER_06 |
transcript.pyannote[385].start |
4972.23284375 |
transcript.pyannote[385].end |
4974.35909375 |
transcript.pyannote[386].speaker |
SPEAKER_06 |
transcript.pyannote[386].start |
4974.86534375 |
transcript.pyannote[386].end |
4976.48534375 |
transcript.pyannote[387].speaker |
SPEAKER_06 |
transcript.pyannote[387].start |
4976.85659375 |
transcript.pyannote[387].end |
4978.45971875 |
transcript.pyannote[388].speaker |
SPEAKER_06 |
transcript.pyannote[388].start |
4978.99971875 |
transcript.pyannote[388].end |
4980.01221875 |
transcript.pyannote[389].speaker |
SPEAKER_06 |
transcript.pyannote[389].start |
4980.40034375 |
transcript.pyannote[389].end |
4982.40846875 |
transcript.pyannote[390].speaker |
SPEAKER_06 |
transcript.pyannote[390].start |
4982.84721875 |
transcript.pyannote[390].end |
4983.35346875 |
transcript.pyannote[391].speaker |
SPEAKER_06 |
transcript.pyannote[391].start |
4983.69096875 |
transcript.pyannote[391].end |
4985.20971875 |
transcript.pyannote[392].speaker |
SPEAKER_06 |
transcript.pyannote[392].start |
4985.63159375 |
transcript.pyannote[392].end |
4986.66096875 |
transcript.pyannote[393].speaker |
SPEAKER_06 |
transcript.pyannote[393].start |
4987.43721875 |
transcript.pyannote[393].end |
4989.24284375 |
transcript.pyannote[394].speaker |
SPEAKER_20 |
transcript.pyannote[394].start |
4990.64346875 |
transcript.pyannote[394].end |
5005.66221875 |
transcript.pyannote[395].speaker |
SPEAKER_06 |
transcript.pyannote[395].start |
5005.76346875 |
transcript.pyannote[395].end |
5007.56909375 |
transcript.pyannote[396].speaker |
SPEAKER_06 |
transcript.pyannote[396].start |
5008.02471875 |
transcript.pyannote[396].end |
5018.28471875 |
transcript.pyannote[397].speaker |
SPEAKER_06 |
transcript.pyannote[397].start |
5019.33096875 |
transcript.pyannote[397].end |
5027.97096875 |
transcript.pyannote[398].speaker |
SPEAKER_20 |
transcript.pyannote[398].start |
5024.15721875 |
transcript.pyannote[398].end |
5026.55346875 |
transcript.pyannote[399].speaker |
SPEAKER_20 |
transcript.pyannote[399].start |
5027.54909375 |
transcript.pyannote[399].end |
5029.23659375 |
transcript.pyannote[400].speaker |
SPEAKER_06 |
transcript.pyannote[400].start |
5028.73034375 |
transcript.pyannote[400].end |
5030.68784375 |
transcript.pyannote[401].speaker |
SPEAKER_20 |
transcript.pyannote[401].start |
5029.42221875 |
transcript.pyannote[401].end |
5032.18971875 |
transcript.pyannote[402].speaker |
SPEAKER_06 |
transcript.pyannote[402].start |
5032.22346875 |
transcript.pyannote[402].end |
5039.74971875 |
transcript.pyannote[403].speaker |
SPEAKER_20 |
transcript.pyannote[403].start |
5039.81721875 |
transcript.pyannote[403].end |
5041.74096875 |
transcript.pyannote[404].speaker |
SPEAKER_06 |
transcript.pyannote[404].start |
5042.12909375 |
transcript.pyannote[404].end |
5042.80409375 |
transcript.pyannote[405].speaker |
SPEAKER_20 |
transcript.pyannote[405].start |
5042.14596875 |
transcript.pyannote[405].end |
5045.80784375 |
transcript.pyannote[406].speaker |
SPEAKER_06 |
transcript.pyannote[406].start |
5044.67721875 |
transcript.pyannote[406].end |
5052.06846875 |
transcript.pyannote[407].speaker |
SPEAKER_20 |
transcript.pyannote[407].start |
5046.63471875 |
transcript.pyannote[407].end |
5047.57971875 |
transcript.pyannote[408].speaker |
SPEAKER_24 |
transcript.pyannote[408].start |
5047.57971875 |
transcript.pyannote[408].end |
5047.59659375 |
transcript.pyannote[409].speaker |
SPEAKER_24 |
transcript.pyannote[409].start |
5048.30534375 |
transcript.pyannote[409].end |
5048.32221875 |
transcript.pyannote[410].speaker |
SPEAKER_20 |
transcript.pyannote[410].start |
5048.32221875 |
transcript.pyannote[410].end |
5048.87909375 |
transcript.pyannote[411].speaker |
SPEAKER_24 |
transcript.pyannote[411].start |
5048.87909375 |
transcript.pyannote[411].end |
5048.98034375 |
transcript.pyannote[412].speaker |
SPEAKER_24 |
transcript.pyannote[412].start |
5052.06846875 |
transcript.pyannote[412].end |
5052.42284375 |
transcript.pyannote[413].speaker |
SPEAKER_06 |
transcript.pyannote[413].start |
5052.49034375 |
transcript.pyannote[413].end |
5054.92034375 |
transcript.pyannote[414].speaker |
SPEAKER_06 |
transcript.pyannote[414].start |
5055.15659375 |
transcript.pyannote[414].end |
5061.02909375 |
transcript.pyannote[415].speaker |
SPEAKER_24 |
transcript.pyannote[415].start |
5057.85659375 |
transcript.pyannote[415].end |
5057.87346875 |
transcript.pyannote[416].speaker |
SPEAKER_27 |
transcript.pyannote[416].start |
5057.87346875 |
transcript.pyannote[416].end |
5058.44721875 |
transcript.pyannote[417].speaker |
SPEAKER_27 |
transcript.pyannote[417].start |
5059.24034375 |
transcript.pyannote[417].end |
5060.96159375 |
transcript.pyannote[418].speaker |
SPEAKER_06 |
transcript.pyannote[418].start |
5061.33284375 |
transcript.pyannote[418].end |
5062.83471875 |
transcript.pyannote[419].speaker |
SPEAKER_06 |
transcript.pyannote[419].start |
5063.69534375 |
transcript.pyannote[419].end |
5064.13409375 |
transcript.pyannote[420].speaker |
SPEAKER_06 |
transcript.pyannote[420].start |
5065.58534375 |
transcript.pyannote[420].end |
5068.47096875 |
transcript.pyannote[421].speaker |
SPEAKER_06 |
transcript.pyannote[421].start |
5068.75784375 |
transcript.pyannote[421].end |
5069.60159375 |
transcript.pyannote[422].speaker |
SPEAKER_06 |
transcript.pyannote[422].start |
5070.17534375 |
transcript.pyannote[422].end |
5071.67721875 |
transcript.pyannote[423].speaker |
SPEAKER_06 |
transcript.pyannote[423].start |
5072.08221875 |
transcript.pyannote[423].end |
5073.11159375 |
transcript.pyannote[424].speaker |
SPEAKER_06 |
transcript.pyannote[424].start |
5074.49534375 |
transcript.pyannote[424].end |
5075.84534375 |
transcript.pyannote[425].speaker |
SPEAKER_06 |
transcript.pyannote[425].start |
5077.22909375 |
transcript.pyannote[425].end |
5077.87034375 |
transcript.pyannote[426].speaker |
SPEAKER_06 |
transcript.pyannote[426].start |
5078.29221875 |
transcript.pyannote[426].end |
5079.67596875 |
transcript.pyannote[427].speaker |
SPEAKER_06 |
transcript.pyannote[427].start |
5080.35096875 |
transcript.pyannote[427].end |
5081.19471875 |
transcript.pyannote[428].speaker |
SPEAKER_06 |
transcript.pyannote[428].start |
5081.70096875 |
transcript.pyannote[428].end |
5083.60784375 |
transcript.pyannote[429].speaker |
SPEAKER_06 |
transcript.pyannote[429].start |
5083.92846875 |
transcript.pyannote[429].end |
5084.24909375 |
transcript.pyannote[430].speaker |
SPEAKER_06 |
transcript.pyannote[430].start |
5085.00846875 |
transcript.pyannote[430].end |
5086.93221875 |
transcript.pyannote[431].speaker |
SPEAKER_06 |
transcript.pyannote[431].start |
5087.48909375 |
transcript.pyannote[431].end |
5088.06284375 |
transcript.pyannote[432].speaker |
SPEAKER_06 |
transcript.pyannote[432].start |
5089.41284375 |
transcript.pyannote[432].end |
5089.88534375 |
transcript.pyannote[433].speaker |
SPEAKER_06 |
transcript.pyannote[433].start |
5091.11721875 |
transcript.pyannote[433].end |
5094.54284375 |
transcript.pyannote[434].speaker |
SPEAKER_06 |
transcript.pyannote[434].start |
5095.08284375 |
transcript.pyannote[434].end |
5095.92659375 |
transcript.pyannote[435].speaker |
SPEAKER_06 |
transcript.pyannote[435].start |
5097.36096875 |
transcript.pyannote[435].end |
5098.15409375 |
transcript.pyannote[436].speaker |
SPEAKER_06 |
transcript.pyannote[436].start |
5098.44096875 |
transcript.pyannote[436].end |
5100.28034375 |
transcript.pyannote[437].speaker |
SPEAKER_06 |
transcript.pyannote[437].start |
5100.83721875 |
transcript.pyannote[437].end |
5102.57534375 |
transcript.pyannote[438].speaker |
SPEAKER_06 |
transcript.pyannote[438].start |
5103.08159375 |
transcript.pyannote[438].end |
5103.77346875 |
transcript.pyannote[439].speaker |
SPEAKER_06 |
transcript.pyannote[439].start |
5104.17846875 |
transcript.pyannote[439].end |
5106.35534375 |
transcript.pyannote[440].speaker |
SPEAKER_06 |
transcript.pyannote[440].start |
5107.72221875 |
transcript.pyannote[440].end |
5108.24534375 |
transcript.pyannote[441].speaker |
SPEAKER_06 |
transcript.pyannote[441].start |
5108.83596875 |
transcript.pyannote[441].end |
5109.56159375 |
transcript.pyannote[442].speaker |
SPEAKER_06 |
transcript.pyannote[442].start |
5109.93284375 |
transcript.pyannote[442].end |
5111.41784375 |
transcript.pyannote[443].speaker |
SPEAKER_06 |
transcript.pyannote[443].start |
5112.00846875 |
transcript.pyannote[443].end |
5112.17721875 |
transcript.pyannote[444].speaker |
SPEAKER_06 |
transcript.pyannote[444].start |
5112.49784375 |
transcript.pyannote[444].end |
5114.50596875 |
transcript.pyannote[445].speaker |
SPEAKER_06 |
transcript.pyannote[445].start |
5114.92784375 |
transcript.pyannote[445].end |
5115.90659375 |
transcript.pyannote[446].speaker |
SPEAKER_06 |
transcript.pyannote[446].start |
5116.75034375 |
transcript.pyannote[446].end |
5117.08784375 |
transcript.pyannote[447].speaker |
SPEAKER_06 |
transcript.pyannote[447].start |
5117.64471875 |
transcript.pyannote[447].end |
5118.70784375 |
transcript.pyannote[448].speaker |
SPEAKER_06 |
transcript.pyannote[448].start |
5119.55159375 |
transcript.pyannote[448].end |
5120.14221875 |
transcript.pyannote[449].speaker |
SPEAKER_06 |
transcript.pyannote[449].start |
5120.24346875 |
transcript.pyannote[449].end |
5121.00284375 |
transcript.pyannote[450].speaker |
SPEAKER_06 |
transcript.pyannote[450].start |
5121.22221875 |
transcript.pyannote[450].end |
5121.93096875 |
transcript.pyannote[451].speaker |
SPEAKER_06 |
transcript.pyannote[451].start |
5122.36971875 |
transcript.pyannote[451].end |
5124.81659375 |
transcript.pyannote[452].speaker |
SPEAKER_06 |
transcript.pyannote[452].start |
5125.27221875 |
transcript.pyannote[452].end |
5128.03971875 |
transcript.pyannote[453].speaker |
SPEAKER_06 |
transcript.pyannote[453].start |
5128.49534375 |
transcript.pyannote[453].end |
5133.70971875 |
transcript.pyannote[454].speaker |
SPEAKER_06 |
transcript.pyannote[454].start |
5134.14846875 |
transcript.pyannote[454].end |
5135.02596875 |
transcript.pyannote[455].speaker |
SPEAKER_06 |
transcript.pyannote[455].start |
5135.43096875 |
transcript.pyannote[455].end |
5137.08471875 |
transcript.pyannote[456].speaker |
SPEAKER_06 |
transcript.pyannote[456].start |
5137.47284375 |
transcript.pyannote[456].end |
5139.93659375 |
transcript.pyannote[457].speaker |
SPEAKER_06 |
transcript.pyannote[457].start |
5139.95346875 |
transcript.pyannote[457].end |
5139.97034375 |
transcript.pyannote[458].speaker |
SPEAKER_20 |
transcript.pyannote[458].start |
5139.97034375 |
transcript.pyannote[458].end |
5145.62346875 |
transcript.pyannote[459].speaker |
SPEAKER_06 |
transcript.pyannote[459].start |
5145.85971875 |
transcript.pyannote[459].end |
5155.39409375 |
transcript.pyannote[460].speaker |
SPEAKER_06 |
transcript.pyannote[460].start |
5155.81596875 |
transcript.pyannote[460].end |
5157.67221875 |
transcript.pyannote[461].speaker |
SPEAKER_20 |
transcript.pyannote[461].start |
5158.39784375 |
transcript.pyannote[461].end |
5161.18221875 |
transcript.pyannote[462].speaker |
SPEAKER_06 |
transcript.pyannote[462].start |
5161.21596875 |
transcript.pyannote[462].end |
5163.37596875 |
transcript.pyannote[463].speaker |
SPEAKER_20 |
transcript.pyannote[463].start |
5163.37596875 |
transcript.pyannote[463].end |
5167.15596875 |
transcript.pyannote[464].speaker |
SPEAKER_06 |
transcript.pyannote[464].start |
5167.15596875 |
transcript.pyannote[464].end |
5171.64471875 |
transcript.pyannote[465].speaker |
SPEAKER_06 |
transcript.pyannote[465].start |
5172.13409375 |
transcript.pyannote[465].end |
5177.21346875 |
transcript.pyannote[466].speaker |
SPEAKER_06 |
transcript.pyannote[466].start |
5177.88846875 |
transcript.pyannote[466].end |
5180.68971875 |
transcript.pyannote[467].speaker |
SPEAKER_06 |
transcript.pyannote[467].start |
5181.04409375 |
transcript.pyannote[467].end |
5181.70221875 |
transcript.pyannote[468].speaker |
SPEAKER_06 |
transcript.pyannote[468].start |
5182.12409375 |
transcript.pyannote[468].end |
5183.33909375 |
transcript.pyannote[469].speaker |
SPEAKER_06 |
transcript.pyannote[469].start |
5183.89596875 |
transcript.pyannote[469].end |
5184.53721875 |
transcript.pyannote[470].speaker |
SPEAKER_06 |
transcript.pyannote[470].start |
5184.94221875 |
transcript.pyannote[470].end |
5190.12284375 |
transcript.pyannote[471].speaker |
SPEAKER_06 |
transcript.pyannote[471].start |
5190.39284375 |
transcript.pyannote[471].end |
5192.45159375 |
transcript.pyannote[472].speaker |
SPEAKER_24 |
transcript.pyannote[472].start |
5192.43471875 |
transcript.pyannote[472].end |
5192.82284375 |
transcript.pyannote[473].speaker |
SPEAKER_06 |
transcript.pyannote[473].start |
5192.82284375 |
transcript.pyannote[473].end |
5197.32846875 |
transcript.pyannote[474].speaker |
SPEAKER_06 |
transcript.pyannote[474].start |
5199.06659375 |
transcript.pyannote[474].end |
5200.56846875 |
transcript.pyannote[475].speaker |
SPEAKER_06 |
transcript.pyannote[475].start |
5201.19284375 |
transcript.pyannote[475].end |
5202.34034375 |
transcript.pyannote[476].speaker |
SPEAKER_06 |
transcript.pyannote[476].start |
5203.45409375 |
transcript.pyannote[476].end |
5204.46659375 |
transcript.pyannote[477].speaker |
SPEAKER_06 |
transcript.pyannote[477].start |
5204.90534375 |
transcript.pyannote[477].end |
5206.32284375 |
transcript.pyannote[478].speaker |
SPEAKER_06 |
transcript.pyannote[478].start |
5207.33534375 |
transcript.pyannote[478].end |
5207.95971875 |
transcript.pyannote[479].speaker |
SPEAKER_06 |
transcript.pyannote[479].start |
5208.38159375 |
transcript.pyannote[479].end |
5210.28846875 |
transcript.pyannote[480].speaker |
SPEAKER_06 |
transcript.pyannote[480].start |
5211.28409375 |
transcript.pyannote[480].end |
5215.78971875 |
transcript.pyannote[481].speaker |
SPEAKER_06 |
transcript.pyannote[481].start |
5216.58284375 |
transcript.pyannote[481].end |
5218.82721875 |
transcript.pyannote[482].speaker |
SPEAKER_06 |
transcript.pyannote[482].start |
5219.33346875 |
transcript.pyannote[482].end |
5220.09284375 |
transcript.pyannote[483].speaker |
SPEAKER_06 |
transcript.pyannote[483].start |
5220.48096875 |
transcript.pyannote[483].end |
5221.83096875 |
transcript.pyannote[484].speaker |
SPEAKER_06 |
transcript.pyannote[484].start |
5222.43846875 |
transcript.pyannote[484].end |
5223.45096875 |
transcript.pyannote[485].speaker |
SPEAKER_06 |
transcript.pyannote[485].start |
5224.86846875 |
transcript.pyannote[485].end |
5226.57284375 |
transcript.pyannote[486].speaker |
SPEAKER_06 |
transcript.pyannote[486].start |
5227.39971875 |
transcript.pyannote[486].end |
5229.76221875 |
transcript.pyannote[487].speaker |
SPEAKER_06 |
transcript.pyannote[487].start |
5231.28096875 |
transcript.pyannote[487].end |
5237.98034375 |
transcript.pyannote[488].speaker |
SPEAKER_06 |
transcript.pyannote[488].start |
5239.49909375 |
transcript.pyannote[488].end |
5243.66721875 |
transcript.pyannote[489].speaker |
SPEAKER_06 |
transcript.pyannote[489].start |
5243.95409375 |
transcript.pyannote[489].end |
5246.09721875 |
transcript.pyannote[490].speaker |
SPEAKER_06 |
transcript.pyannote[490].start |
5246.73846875 |
transcript.pyannote[490].end |
5247.66659375 |
transcript.pyannote[491].speaker |
SPEAKER_06 |
transcript.pyannote[491].start |
5247.81846875 |
transcript.pyannote[491].end |
5250.28221875 |
transcript.pyannote[492].speaker |
SPEAKER_06 |
transcript.pyannote[492].start |
5251.36221875 |
transcript.pyannote[492].end |
5252.40846875 |
transcript.pyannote[493].speaker |
SPEAKER_06 |
transcript.pyannote[493].start |
5252.89784375 |
transcript.pyannote[493].end |
5254.04534375 |
transcript.pyannote[494].speaker |
SPEAKER_06 |
transcript.pyannote[494].start |
5254.56846875 |
transcript.pyannote[494].end |
5255.47971875 |
transcript.pyannote[495].speaker |
SPEAKER_06 |
transcript.pyannote[495].start |
5257.03221875 |
transcript.pyannote[495].end |
5258.88846875 |
transcript.pyannote[496].speaker |
SPEAKER_06 |
transcript.pyannote[496].start |
5259.61409375 |
transcript.pyannote[496].end |
5260.69409375 |
transcript.pyannote[497].speaker |
SPEAKER_06 |
transcript.pyannote[497].start |
5261.50409375 |
transcript.pyannote[497].end |
5265.65534375 |
transcript.pyannote[498].speaker |
SPEAKER_06 |
transcript.pyannote[498].start |
5266.02659375 |
transcript.pyannote[498].end |
5268.79409375 |
transcript.pyannote[499].speaker |
SPEAKER_06 |
transcript.pyannote[499].start |
5270.65034375 |
transcript.pyannote[499].end |
5271.49409375 |
transcript.pyannote[500].speaker |
SPEAKER_06 |
transcript.pyannote[500].start |
5271.86534375 |
transcript.pyannote[500].end |
5273.14784375 |
transcript.pyannote[501].speaker |
SPEAKER_06 |
transcript.pyannote[501].start |
5273.35034375 |
transcript.pyannote[501].end |
5277.11346875 |
transcript.pyannote[502].speaker |
SPEAKER_06 |
transcript.pyannote[502].start |
5278.09221875 |
transcript.pyannote[502].end |
5279.27346875 |
transcript.pyannote[503].speaker |
SPEAKER_24 |
transcript.pyannote[503].start |
5279.52659375 |
transcript.pyannote[503].end |
5279.98221875 |
transcript.pyannote[504].speaker |
SPEAKER_06 |
transcript.pyannote[504].start |
5279.93159375 |
transcript.pyannote[504].end |
5282.22659375 |
transcript.pyannote[505].speaker |
SPEAKER_06 |
transcript.pyannote[505].start |
5282.61471875 |
transcript.pyannote[505].end |
5284.62284375 |
transcript.pyannote[506].speaker |
SPEAKER_20 |
transcript.pyannote[506].start |
5285.16284375 |
transcript.pyannote[506].end |
5288.87534375 |
transcript.pyannote[507].speaker |
SPEAKER_06 |
transcript.pyannote[507].start |
5288.90909375 |
transcript.pyannote[507].end |
5289.26346875 |
transcript.pyannote[508].speaker |
SPEAKER_06 |
transcript.pyannote[508].start |
5290.10721875 |
transcript.pyannote[508].end |
5291.65971875 |
transcript.pyannote[509].speaker |
SPEAKER_06 |
transcript.pyannote[509].start |
5291.94659375 |
transcript.pyannote[509].end |
5292.31784375 |
transcript.pyannote[510].speaker |
SPEAKER_06 |
transcript.pyannote[510].start |
5292.46971875 |
transcript.pyannote[510].end |
5294.24159375 |
transcript.pyannote[511].speaker |
SPEAKER_06 |
transcript.pyannote[511].start |
5294.52846875 |
transcript.pyannote[511].end |
5296.03034375 |
transcript.pyannote[512].speaker |
SPEAKER_06 |
transcript.pyannote[512].start |
5296.30034375 |
transcript.pyannote[512].end |
5297.16096875 |
transcript.pyannote[513].speaker |
SPEAKER_06 |
transcript.pyannote[513].start |
5299.27034375 |
transcript.pyannote[513].end |
5299.87784375 |
transcript.pyannote[514].speaker |
SPEAKER_06 |
transcript.pyannote[514].start |
5300.87346875 |
transcript.pyannote[514].end |
5302.94909375 |
transcript.pyannote[515].speaker |
SPEAKER_06 |
transcript.pyannote[515].start |
5303.32034375 |
transcript.pyannote[515].end |
5304.53534375 |
transcript.pyannote[516].speaker |
SPEAKER_06 |
transcript.pyannote[516].start |
5304.77159375 |
transcript.pyannote[516].end |
5306.02034375 |
transcript.pyannote[517].speaker |
SPEAKER_06 |
transcript.pyannote[517].start |
5306.39159375 |
transcript.pyannote[517].end |
5308.21409375 |
transcript.pyannote[518].speaker |
SPEAKER_31 |
transcript.pyannote[518].start |
5308.65284375 |
transcript.pyannote[518].end |
5308.90596875 |
transcript.pyannote[519].speaker |
SPEAKER_06 |
transcript.pyannote[519].start |
5308.78784375 |
transcript.pyannote[519].end |
5310.91409375 |
transcript.pyannote[520].speaker |
SPEAKER_06 |
transcript.pyannote[520].start |
5311.18409375 |
transcript.pyannote[520].end |
5313.25971875 |
transcript.pyannote[521].speaker |
SPEAKER_06 |
transcript.pyannote[521].start |
5314.27221875 |
transcript.pyannote[521].end |
5316.70221875 |
transcript.pyannote[522].speaker |
SPEAKER_06 |
transcript.pyannote[522].start |
5317.56284375 |
transcript.pyannote[522].end |
5318.52471875 |
transcript.pyannote[523].speaker |
SPEAKER_24 |
transcript.pyannote[523].start |
5318.77784375 |
transcript.pyannote[523].end |
5319.57096875 |
transcript.pyannote[524].speaker |
SPEAKER_06 |
transcript.pyannote[524].start |
5319.65534375 |
transcript.pyannote[524].end |
5322.27096875 |
transcript.pyannote[525].speaker |
SPEAKER_06 |
transcript.pyannote[525].start |
5322.42284375 |
transcript.pyannote[525].end |
5322.91221875 |
transcript.pyannote[526].speaker |
SPEAKER_06 |
transcript.pyannote[526].start |
5323.48596875 |
transcript.pyannote[526].end |
5327.72159375 |
transcript.pyannote[527].speaker |
SPEAKER_06 |
transcript.pyannote[527].start |
5328.48096875 |
transcript.pyannote[527].end |
5329.08846875 |
transcript.pyannote[528].speaker |
SPEAKER_06 |
transcript.pyannote[528].start |
5329.22346875 |
transcript.pyannote[528].end |
5329.71284375 |
transcript.pyannote[529].speaker |
SPEAKER_06 |
transcript.pyannote[529].start |
5331.02909375 |
transcript.pyannote[529].end |
5332.24409375 |
transcript.pyannote[530].speaker |
SPEAKER_20 |
transcript.pyannote[530].start |
5332.14284375 |
transcript.pyannote[530].end |
5335.99034375 |
transcript.pyannote[531].speaker |
SPEAKER_06 |
transcript.pyannote[531].start |
5335.99034375 |
transcript.pyannote[531].end |
5336.34471875 |
transcript.pyannote[532].speaker |
SPEAKER_20 |
transcript.pyannote[532].start |
5336.27721875 |
transcript.pyannote[532].end |
5341.99784375 |
transcript.pyannote[533].speaker |
SPEAKER_27 |
transcript.pyannote[533].start |
5336.34471875 |
transcript.pyannote[533].end |
5336.36159375 |
transcript.pyannote[534].speaker |
SPEAKER_06 |
transcript.pyannote[534].start |
5336.36159375 |
transcript.pyannote[534].end |
5336.39534375 |
transcript.pyannote[535].speaker |
SPEAKER_06 |
transcript.pyannote[535].start |
5338.62284375 |
transcript.pyannote[535].end |
5338.97721875 |
transcript.pyannote[536].speaker |
SPEAKER_27 |
transcript.pyannote[536].start |
5338.97721875 |
transcript.pyannote[536].end |
5339.06159375 |
transcript.pyannote[537].speaker |
SPEAKER_17 |
transcript.pyannote[537].start |
5339.06159375 |
transcript.pyannote[537].end |
5339.11221875 |
transcript.pyannote[538].speaker |
SPEAKER_17 |
transcript.pyannote[538].start |
5341.87971875 |
transcript.pyannote[538].end |
5342.26784375 |
transcript.pyannote[539].speaker |
SPEAKER_20 |
transcript.pyannote[539].start |
5342.26784375 |
transcript.pyannote[539].end |
5352.29159375 |
transcript.pyannote[540].speaker |
SPEAKER_06 |
transcript.pyannote[540].start |
5345.60909375 |
transcript.pyannote[540].end |
5345.65971875 |
transcript.pyannote[541].speaker |
SPEAKER_17 |
transcript.pyannote[541].start |
5345.65971875 |
transcript.pyannote[541].end |
5345.67659375 |
transcript.pyannote[542].speaker |
SPEAKER_17 |
transcript.pyannote[542].start |
5345.69346875 |
transcript.pyannote[542].end |
5345.77784375 |
transcript.pyannote[543].speaker |
SPEAKER_06 |
transcript.pyannote[543].start |
5351.63346875 |
transcript.pyannote[543].end |
5357.91096875 |
transcript.pyannote[544].speaker |
SPEAKER_20 |
transcript.pyannote[544].start |
5353.28721875 |
transcript.pyannote[544].end |
5354.55284375 |
transcript.pyannote[545].speaker |
SPEAKER_20 |
transcript.pyannote[545].start |
5355.76784375 |
transcript.pyannote[545].end |
5355.86909375 |
transcript.pyannote[546].speaker |
SPEAKER_03 |
transcript.pyannote[546].start |
5355.86909375 |
transcript.pyannote[546].end |
5357.11784375 |
transcript.pyannote[547].speaker |
SPEAKER_20 |
transcript.pyannote[547].start |
5357.11784375 |
transcript.pyannote[547].end |
5357.32034375 |
transcript.pyannote[548].speaker |
SPEAKER_03 |
transcript.pyannote[548].start |
5357.32034375 |
transcript.pyannote[548].end |
5357.50596875 |
transcript.pyannote[549].speaker |
SPEAKER_20 |
transcript.pyannote[549].start |
5357.50596875 |
transcript.pyannote[549].end |
5358.13034375 |
transcript.pyannote[550].speaker |
SPEAKER_06 |
transcript.pyannote[550].start |
5358.13034375 |
transcript.pyannote[550].end |
5360.72909375 |
transcript.pyannote[551].speaker |
SPEAKER_20 |
transcript.pyannote[551].start |
5361.18471875 |
transcript.pyannote[551].end |
5364.42471875 |
transcript.pyannote[552].speaker |
SPEAKER_06 |
transcript.pyannote[552].start |
5361.79221875 |
transcript.pyannote[552].end |
5362.72034375 |
transcript.pyannote[553].speaker |
SPEAKER_06 |
transcript.pyannote[553].start |
5364.01971875 |
transcript.pyannote[553].end |
5367.90096875 |
transcript.pyannote[554].speaker |
SPEAKER_20 |
transcript.pyannote[554].start |
5364.79596875 |
transcript.pyannote[554].end |
5364.82971875 |
transcript.pyannote[555].speaker |
SPEAKER_20 |
transcript.pyannote[555].start |
5365.47096875 |
transcript.pyannote[555].end |
5366.01096875 |
transcript.pyannote[556].speaker |
SPEAKER_06 |
transcript.pyannote[556].start |
5368.00221875 |
transcript.pyannote[556].end |
5371.93409375 |
transcript.pyannote[557].speaker |
SPEAKER_20 |
transcript.pyannote[557].start |
5371.93409375 |
transcript.pyannote[557].end |
5374.66784375 |
transcript.pyannote[558].speaker |
SPEAKER_06 |
transcript.pyannote[558].start |
5374.09409375 |
transcript.pyannote[558].end |
5377.14846875 |
transcript.pyannote[559].speaker |
SPEAKER_06 |
transcript.pyannote[559].start |
5377.48596875 |
transcript.pyannote[559].end |
5382.43034375 |
transcript.pyannote[560].speaker |
SPEAKER_06 |
transcript.pyannote[560].start |
5383.27409375 |
transcript.pyannote[560].end |
5389.14659375 |
transcript.pyannote[561].speaker |
SPEAKER_20 |
transcript.pyannote[561].start |
5388.80909375 |
transcript.pyannote[561].end |
5392.23471875 |
transcript.pyannote[562].speaker |
SPEAKER_06 |
transcript.pyannote[562].start |
5392.23471875 |
transcript.pyannote[562].end |
5395.79534375 |
transcript.pyannote[563].speaker |
SPEAKER_20 |
transcript.pyannote[563].start |
5392.75784375 |
transcript.pyannote[563].end |
5393.56784375 |
transcript.pyannote[564].speaker |
SPEAKER_06 |
transcript.pyannote[564].start |
5396.31846875 |
transcript.pyannote[564].end |
5398.44471875 |
transcript.pyannote[565].speaker |
SPEAKER_06 |
transcript.pyannote[565].start |
5398.64721875 |
transcript.pyannote[565].end |
5402.61284375 |
transcript.pyannote[566].speaker |
SPEAKER_20 |
transcript.pyannote[566].start |
5402.32596875 |
transcript.pyannote[566].end |
5407.74284375 |
transcript.pyannote[567].speaker |
SPEAKER_06 |
transcript.pyannote[567].start |
5407.65846875 |
transcript.pyannote[567].end |
5411.72534375 |
transcript.pyannote[568].speaker |
SPEAKER_20 |
transcript.pyannote[568].start |
5410.99971875 |
transcript.pyannote[568].end |
5414.42534375 |
transcript.pyannote[569].speaker |
SPEAKER_06 |
transcript.pyannote[569].start |
5411.97846875 |
transcript.pyannote[569].end |
5416.41659375 |
transcript.pyannote[570].speaker |
SPEAKER_20 |
transcript.pyannote[570].start |
5415.47159375 |
transcript.pyannote[570].end |
5416.26471875 |
transcript.pyannote[571].speaker |
SPEAKER_20 |
transcript.pyannote[571].start |
5416.36596875 |
transcript.pyannote[571].end |
5416.38284375 |
transcript.pyannote[572].speaker |
SPEAKER_20 |
transcript.pyannote[572].start |
5416.41659375 |
transcript.pyannote[572].end |
5420.53409375 |
transcript.pyannote[573].speaker |
SPEAKER_06 |
transcript.pyannote[573].start |
5419.25159375 |
transcript.pyannote[573].end |
5422.45784375 |
transcript.pyannote[574].speaker |
SPEAKER_20 |
transcript.pyannote[574].start |
5420.58471875 |
transcript.pyannote[574].end |
5420.70284375 |
transcript.pyannote[575].speaker |
SPEAKER_06 |
transcript.pyannote[575].start |
5422.64346875 |
transcript.pyannote[575].end |
5423.50409375 |
transcript.pyannote[576].speaker |
SPEAKER_06 |
transcript.pyannote[576].start |
5424.16221875 |
transcript.pyannote[576].end |
5427.62159375 |
transcript.pyannote[577].speaker |
SPEAKER_06 |
transcript.pyannote[577].start |
5428.12784375 |
transcript.pyannote[577].end |
5429.03909375 |
transcript.pyannote[578].speaker |
SPEAKER_06 |
transcript.pyannote[578].start |
5429.54534375 |
transcript.pyannote[578].end |
5431.99221875 |
transcript.pyannote[579].speaker |
SPEAKER_06 |
transcript.pyannote[579].start |
5432.73471875 |
transcript.pyannote[579].end |
5434.11846875 |
transcript.pyannote[580].speaker |
SPEAKER_06 |
transcript.pyannote[580].start |
5434.64159375 |
transcript.pyannote[580].end |
5435.29971875 |
transcript.pyannote[581].speaker |
SPEAKER_06 |
transcript.pyannote[581].start |
5435.48534375 |
transcript.pyannote[581].end |
5435.89034375 |
transcript.pyannote[582].speaker |
SPEAKER_06 |
transcript.pyannote[582].start |
5437.07159375 |
transcript.pyannote[582].end |
5437.98284375 |
transcript.pyannote[583].speaker |
SPEAKER_06 |
transcript.pyannote[583].start |
5438.20221875 |
transcript.pyannote[583].end |
5442.06659375 |
transcript.pyannote[584].speaker |
SPEAKER_06 |
transcript.pyannote[584].start |
5442.43784375 |
transcript.pyannote[584].end |
5444.24346875 |
transcript.pyannote[585].speaker |
SPEAKER_06 |
transcript.pyannote[585].start |
5444.98596875 |
transcript.pyannote[585].end |
5451.63471875 |
transcript.pyannote[586].speaker |
SPEAKER_06 |
transcript.pyannote[586].start |
5451.70221875 |
transcript.pyannote[586].end |
5455.48221875 |
transcript.pyannote[587].speaker |
SPEAKER_06 |
transcript.pyannote[587].start |
5455.83659375 |
transcript.pyannote[587].end |
5458.97534375 |
transcript.pyannote[588].speaker |
SPEAKER_06 |
transcript.pyannote[588].start |
5459.83596875 |
transcript.pyannote[588].end |
5462.48534375 |
transcript.pyannote[589].speaker |
SPEAKER_06 |
transcript.pyannote[589].start |
5462.95784375 |
transcript.pyannote[589].end |
5464.66221875 |
transcript.pyannote[590].speaker |
SPEAKER_06 |
transcript.pyannote[590].start |
5465.03346875 |
transcript.pyannote[590].end |
5468.62784375 |
transcript.pyannote[591].speaker |
SPEAKER_06 |
transcript.pyannote[591].start |
5469.16784375 |
transcript.pyannote[591].end |
5475.20909375 |
transcript.pyannote[592].speaker |
SPEAKER_06 |
transcript.pyannote[592].start |
5475.51284375 |
transcript.pyannote[592].end |
5476.60971875 |
transcript.pyannote[593].speaker |
SPEAKER_06 |
transcript.pyannote[593].start |
5477.35221875 |
transcript.pyannote[593].end |
5479.12409375 |
transcript.pyannote[594].speaker |
SPEAKER_06 |
transcript.pyannote[594].start |
5479.68096875 |
transcript.pyannote[594].end |
5482.63409375 |
transcript.pyannote[595].speaker |
SPEAKER_06 |
transcript.pyannote[595].start |
5483.03909375 |
transcript.pyannote[595].end |
5486.12721875 |
transcript.pyannote[596].speaker |
SPEAKER_06 |
transcript.pyannote[596].start |
5486.36346875 |
transcript.pyannote[596].end |
5487.02159375 |
transcript.pyannote[597].speaker |
SPEAKER_06 |
transcript.pyannote[597].start |
5487.83159375 |
transcript.pyannote[597].end |
5488.13534375 |
transcript.pyannote[598].speaker |
SPEAKER_06 |
transcript.pyannote[598].start |
5488.59096875 |
transcript.pyannote[598].end |
5491.44284375 |
transcript.pyannote[599].speaker |
SPEAKER_20 |
transcript.pyannote[599].start |
5491.64534375 |
transcript.pyannote[599].end |
5526.15471875 |
transcript.pyannote[600].speaker |
SPEAKER_06 |
transcript.pyannote[600].start |
5493.29909375 |
transcript.pyannote[600].end |
5493.48471875 |
transcript.pyannote[601].speaker |
SPEAKER_06 |
transcript.pyannote[601].start |
5494.75034375 |
transcript.pyannote[601].end |
5495.05409375 |
transcript.pyannote[602].speaker |
SPEAKER_27 |
transcript.pyannote[602].start |
5514.76409375 |
transcript.pyannote[602].end |
5515.23659375 |
transcript.pyannote[603].speaker |
SPEAKER_27 |
transcript.pyannote[603].start |
5517.53159375 |
transcript.pyannote[603].end |
5517.54846875 |
transcript.pyannote[604].speaker |
SPEAKER_24 |
transcript.pyannote[604].start |
5517.54846875 |
transcript.pyannote[604].end |
5517.58221875 |
transcript.pyannote[605].speaker |
SPEAKER_17 |
transcript.pyannote[605].start |
5517.58221875 |
transcript.pyannote[605].end |
5517.85221875 |
transcript.pyannote[606].speaker |
SPEAKER_24 |
transcript.pyannote[606].start |
5526.13784375 |
transcript.pyannote[606].end |
5526.40784375 |
transcript.pyannote[607].speaker |
SPEAKER_20 |
transcript.pyannote[607].start |
5526.37409375 |
transcript.pyannote[607].end |
5543.16471875 |
transcript.pyannote[608].speaker |
SPEAKER_06 |
transcript.pyannote[608].start |
5542.13534375 |
transcript.pyannote[608].end |
5546.53971875 |
transcript.pyannote[609].speaker |
SPEAKER_20 |
transcript.pyannote[609].start |
5543.73846875 |
transcript.pyannote[609].end |
5544.09284375 |
transcript.pyannote[610].speaker |
SPEAKER_24 |
transcript.pyannote[610].start |
5544.09284375 |
transcript.pyannote[610].end |
5544.12659375 |
transcript.pyannote[611].speaker |
SPEAKER_20 |
transcript.pyannote[611].start |
5544.12659375 |
transcript.pyannote[611].end |
5544.19409375 |
transcript.pyannote[612].speaker |
SPEAKER_20 |
transcript.pyannote[612].start |
5544.27846875 |
transcript.pyannote[612].end |
5544.64971875 |
transcript.pyannote[613].speaker |
SPEAKER_20 |
transcript.pyannote[613].start |
5545.44284375 |
transcript.pyannote[613].end |
5548.17659375 |
transcript.pyannote[614].speaker |
SPEAKER_06 |
transcript.pyannote[614].start |
5547.83909375 |
transcript.pyannote[614].end |
5551.61909375 |
transcript.pyannote[615].speaker |
SPEAKER_06 |
transcript.pyannote[615].start |
5552.47971875 |
transcript.pyannote[615].end |
5557.91346875 |
transcript.pyannote[616].speaker |
SPEAKER_06 |
transcript.pyannote[616].start |
5558.23409375 |
transcript.pyannote[616].end |
5563.81971875 |
transcript.pyannote[617].speaker |
SPEAKER_24 |
transcript.pyannote[617].start |
5561.79471875 |
transcript.pyannote[617].end |
5562.11534375 |
transcript.pyannote[618].speaker |
SPEAKER_24 |
transcript.pyannote[618].start |
5562.21659375 |
transcript.pyannote[618].end |
5562.36846875 |
transcript.pyannote[619].speaker |
SPEAKER_06 |
transcript.pyannote[619].start |
5564.39346875 |
transcript.pyannote[619].end |
5569.03409375 |
transcript.pyannote[620].speaker |
SPEAKER_06 |
transcript.pyannote[620].start |
5569.54034375 |
transcript.pyannote[620].end |
5575.44659375 |
transcript.pyannote[621].speaker |
SPEAKER_06 |
transcript.pyannote[621].start |
5575.81784375 |
transcript.pyannote[621].end |
5582.24721875 |
transcript.pyannote[622].speaker |
SPEAKER_07 |
transcript.pyannote[622].start |
5580.25596875 |
transcript.pyannote[622].end |
5580.61034375 |
transcript.pyannote[623].speaker |
SPEAKER_06 |
transcript.pyannote[623].start |
5582.56784375 |
transcript.pyannote[623].end |
5584.54221875 |
transcript.pyannote[624].speaker |
SPEAKER_06 |
transcript.pyannote[624].start |
5584.55909375 |
transcript.pyannote[624].end |
5586.70221875 |
transcript.pyannote[625].speaker |
SPEAKER_06 |
transcript.pyannote[625].start |
5587.20846875 |
transcript.pyannote[625].end |
5592.67596875 |
transcript.pyannote[626].speaker |
SPEAKER_12 |
transcript.pyannote[626].start |
5587.91721875 |
transcript.pyannote[626].end |
5587.93409375 |
transcript.pyannote[627].speaker |
SPEAKER_20 |
transcript.pyannote[627].start |
5587.93409375 |
transcript.pyannote[627].end |
5589.72284375 |
transcript.pyannote[628].speaker |
SPEAKER_20 |
transcript.pyannote[628].start |
5590.06034375 |
transcript.pyannote[628].end |
5598.68346875 |
transcript.pyannote[629].speaker |
SPEAKER_06 |
transcript.pyannote[629].start |
5596.69221875 |
transcript.pyannote[629].end |
5603.74596875 |
transcript.pyannote[630].speaker |
SPEAKER_20 |
transcript.pyannote[630].start |
5599.66221875 |
transcript.pyannote[630].end |
5601.67034375 |
transcript.pyannote[631].speaker |
SPEAKER_06 |
transcript.pyannote[631].start |
5604.13409375 |
transcript.pyannote[631].end |
5605.04534375 |
transcript.pyannote[632].speaker |
SPEAKER_20 |
transcript.pyannote[632].start |
5604.18471875 |
transcript.pyannote[632].end |
5618.88284375 |
transcript.pyannote[633].speaker |
SPEAKER_06 |
transcript.pyannote[633].start |
5618.73096875 |
transcript.pyannote[633].end |
5632.82159375 |
transcript.pyannote[634].speaker |
SPEAKER_20 |
transcript.pyannote[634].start |
5619.52409375 |
transcript.pyannote[634].end |
5619.92909375 |
transcript.pyannote[635].speaker |
SPEAKER_20 |
transcript.pyannote[635].start |
5621.80221875 |
transcript.pyannote[635].end |
5622.35909375 |
transcript.pyannote[636].speaker |
SPEAKER_20 |
transcript.pyannote[636].start |
5632.18034375 |
transcript.pyannote[636].end |
5635.67346875 |
transcript.pyannote[637].speaker |
SPEAKER_06 |
transcript.pyannote[637].start |
5633.20971875 |
transcript.pyannote[637].end |
5633.54721875 |
transcript.pyannote[638].speaker |
SPEAKER_06 |
transcript.pyannote[638].start |
5634.69471875 |
transcript.pyannote[638].end |
5645.51159375 |
transcript.pyannote[639].speaker |
SPEAKER_24 |
transcript.pyannote[639].start |
5645.25846875 |
transcript.pyannote[639].end |
5645.29221875 |
transcript.pyannote[640].speaker |
SPEAKER_25 |
transcript.pyannote[640].start |
5645.29221875 |
transcript.pyannote[640].end |
5645.51159375 |
transcript.pyannote[641].speaker |
SPEAKER_24 |
transcript.pyannote[641].start |
5645.51159375 |
transcript.pyannote[641].end |
5645.96721875 |
transcript.pyannote[642].speaker |
SPEAKER_25 |
transcript.pyannote[642].start |
5645.96721875 |
transcript.pyannote[642].end |
5647.41846875 |
transcript.pyannote[643].speaker |
SPEAKER_06 |
transcript.pyannote[643].start |
5646.16971875 |
transcript.pyannote[643].end |
5648.09346875 |
transcript.pyannote[644].speaker |
SPEAKER_25 |
transcript.pyannote[644].start |
5648.02596875 |
transcript.pyannote[644].end |
5650.86096875 |
transcript.pyannote[645].speaker |
SPEAKER_25 |
transcript.pyannote[645].start |
5651.24909375 |
transcript.pyannote[645].end |
5653.71284375 |
transcript.pyannote[646].speaker |
SPEAKER_25 |
transcript.pyannote[646].start |
5653.86471875 |
transcript.pyannote[646].end |
5654.28659375 |
transcript.pyannote[647].speaker |
SPEAKER_16 |
transcript.pyannote[647].start |
5661.64409375 |
transcript.pyannote[647].end |
5663.55096875 |
transcript.pyannote[648].speaker |
SPEAKER_16 |
transcript.pyannote[648].start |
5665.84596875 |
transcript.pyannote[648].end |
5666.45346875 |
transcript.pyannote[649].speaker |
SPEAKER_16 |
transcript.pyannote[649].start |
5666.94284375 |
transcript.pyannote[649].end |
5668.30971875 |
transcript.pyannote[650].speaker |
SPEAKER_16 |
transcript.pyannote[650].start |
5668.47846875 |
transcript.pyannote[650].end |
5671.71846875 |
transcript.pyannote[651].speaker |
SPEAKER_20 |
transcript.pyannote[651].start |
5668.73159375 |
transcript.pyannote[651].end |
5669.17034375 |
transcript.pyannote[652].speaker |
SPEAKER_21 |
transcript.pyannote[652].start |
5669.17034375 |
transcript.pyannote[652].end |
5669.27159375 |
transcript.pyannote[653].speaker |
SPEAKER_16 |
transcript.pyannote[653].start |
5674.73909375 |
transcript.pyannote[653].end |
5675.19471875 |
transcript.pyannote[654].speaker |
SPEAKER_17 |
transcript.pyannote[654].start |
5675.19471875 |
transcript.pyannote[654].end |
5675.21159375 |
transcript.pyannote[655].speaker |
SPEAKER_20 |
transcript.pyannote[655].start |
5675.21159375 |
transcript.pyannote[655].end |
5676.40971875 |
transcript.pyannote[656].speaker |
SPEAKER_16 |
transcript.pyannote[656].start |
5675.78534375 |
transcript.pyannote[656].end |
5676.39284375 |
transcript.pyannote[657].speaker |
SPEAKER_17 |
transcript.pyannote[657].start |
5676.39284375 |
transcript.pyannote[657].end |
5680.44284375 |
transcript.pyannote[658].speaker |
SPEAKER_17 |
transcript.pyannote[658].start |
5680.64534375 |
transcript.pyannote[658].end |
5681.89409375 |
transcript.pyannote[659].speaker |
SPEAKER_17 |
transcript.pyannote[659].start |
5681.96159375 |
transcript.pyannote[659].end |
5682.04596875 |
transcript.pyannote[660].speaker |
SPEAKER_17 |
transcript.pyannote[660].start |
5682.16409375 |
transcript.pyannote[660].end |
5686.26471875 |
transcript.pyannote[661].speaker |
SPEAKER_17 |
transcript.pyannote[661].start |
5687.19284375 |
transcript.pyannote[661].end |
5689.25159375 |
transcript.pyannote[662].speaker |
SPEAKER_17 |
transcript.pyannote[662].start |
5689.40346875 |
transcript.pyannote[662].end |
5692.62659375 |
transcript.pyannote[663].speaker |
SPEAKER_17 |
transcript.pyannote[663].start |
5692.98096875 |
transcript.pyannote[663].end |
5694.02721875 |
transcript.pyannote[664].speaker |
SPEAKER_17 |
transcript.pyannote[664].start |
5694.16221875 |
transcript.pyannote[664].end |
5695.91721875 |
transcript.pyannote[665].speaker |
SPEAKER_20 |
transcript.pyannote[665].start |
5696.38971875 |
transcript.pyannote[665].end |
5696.79471875 |
transcript.pyannote[666].speaker |
SPEAKER_20 |
transcript.pyannote[666].start |
5697.01409375 |
transcript.pyannote[666].end |
5701.90784375 |
transcript.pyannote[667].speaker |
SPEAKER_17 |
transcript.pyannote[667].start |
5700.42284375 |
transcript.pyannote[667].end |
5701.82346875 |
transcript.pyannote[668].speaker |
SPEAKER_17 |
transcript.pyannote[668].start |
5701.90784375 |
transcript.pyannote[668].end |
5702.24534375 |
transcript.pyannote[669].speaker |
SPEAKER_20 |
transcript.pyannote[669].start |
5702.24534375 |
transcript.pyannote[669].end |
5705.31659375 |
transcript.pyannote[670].speaker |
SPEAKER_17 |
transcript.pyannote[670].start |
5702.76846875 |
transcript.pyannote[670].end |
5703.44346875 |
transcript.pyannote[671].speaker |
SPEAKER_17 |
transcript.pyannote[671].start |
5703.78096875 |
transcript.pyannote[671].end |
5704.67534375 |
transcript.pyannote[672].speaker |
SPEAKER_17 |
transcript.pyannote[672].start |
5705.31659375 |
transcript.pyannote[672].end |
5706.78471875 |
transcript.pyannote[673].speaker |
SPEAKER_20 |
transcript.pyannote[673].start |
5706.78471875 |
transcript.pyannote[673].end |
5708.67471875 |
transcript.pyannote[674].speaker |
SPEAKER_17 |
transcript.pyannote[674].start |
5708.21909375 |
transcript.pyannote[674].end |
5715.91409375 |
transcript.pyannote[675].speaker |
SPEAKER_20 |
transcript.pyannote[675].start |
5717.04471875 |
transcript.pyannote[675].end |
5722.02284375 |
transcript.pyannote[676].speaker |
SPEAKER_17 |
transcript.pyannote[676].start |
5717.80409375 |
transcript.pyannote[676].end |
5718.22596875 |
transcript.pyannote[677].speaker |
SPEAKER_17 |
transcript.pyannote[677].start |
5722.02284375 |
transcript.pyannote[677].end |
5722.96784375 |
transcript.pyannote[678].speaker |
SPEAKER_20 |
transcript.pyannote[678].start |
5722.96784375 |
transcript.pyannote[678].end |
5723.03534375 |
transcript.pyannote[679].speaker |
SPEAKER_17 |
transcript.pyannote[679].start |
5723.03534375 |
transcript.pyannote[679].end |
5724.99284375 |
transcript.pyannote[680].speaker |
SPEAKER_24 |
transcript.pyannote[680].start |
5724.99284375 |
transcript.pyannote[680].end |
5725.60034375 |
transcript.pyannote[681].speaker |
SPEAKER_17 |
transcript.pyannote[681].start |
5725.60034375 |
transcript.pyannote[681].end |
5733.80159375 |
transcript.pyannote[682].speaker |
SPEAKER_17 |
transcript.pyannote[682].start |
5734.37534375 |
transcript.pyannote[682].end |
5737.00784375 |
transcript.pyannote[683].speaker |
SPEAKER_24 |
transcript.pyannote[683].start |
5737.48034375 |
transcript.pyannote[683].end |
5739.84284375 |
transcript.pyannote[684].speaker |
SPEAKER_17 |
transcript.pyannote[684].start |
5737.98659375 |
transcript.pyannote[684].end |
5742.99846875 |
transcript.pyannote[685].speaker |
SPEAKER_17 |
transcript.pyannote[685].start |
5743.84221875 |
transcript.pyannote[685].end |
5746.17096875 |
transcript.pyannote[686].speaker |
SPEAKER_26 |
transcript.pyannote[686].start |
5746.39034375 |
transcript.pyannote[686].end |
5751.50346875 |
transcript.pyannote[687].speaker |
SPEAKER_17 |
transcript.pyannote[687].start |
5751.38534375 |
transcript.pyannote[687].end |
5754.33846875 |
transcript.pyannote[688].speaker |
SPEAKER_26 |
transcript.pyannote[688].start |
5754.37221875 |
transcript.pyannote[688].end |
5754.81096875 |
transcript.pyannote[689].speaker |
SPEAKER_17 |
transcript.pyannote[689].start |
5755.38471875 |
transcript.pyannote[689].end |
5759.85659375 |
transcript.pyannote[690].speaker |
SPEAKER_17 |
transcript.pyannote[690].start |
5760.27846875 |
transcript.pyannote[690].end |
5761.76346875 |
transcript.pyannote[691].speaker |
SPEAKER_17 |
transcript.pyannote[691].start |
5764.48034375 |
transcript.pyannote[691].end |
5764.83471875 |
transcript.pyannote[692].speaker |
SPEAKER_17 |
transcript.pyannote[692].start |
5765.12159375 |
transcript.pyannote[692].end |
5768.12534375 |
transcript.pyannote[693].speaker |
SPEAKER_17 |
transcript.pyannote[693].start |
5768.31096875 |
transcript.pyannote[693].end |
5769.86346875 |
transcript.pyannote[694].speaker |
SPEAKER_17 |
transcript.pyannote[694].start |
5770.57221875 |
transcript.pyannote[694].end |
5774.90909375 |
transcript.pyannote[695].speaker |
SPEAKER_27 |
transcript.pyannote[695].start |
5773.81221875 |
transcript.pyannote[695].end |
5774.13284375 |
transcript.pyannote[696].speaker |
SPEAKER_27 |
transcript.pyannote[696].start |
5775.07784375 |
transcript.pyannote[696].end |
5775.51659375 |
transcript.pyannote[697].speaker |
SPEAKER_17 |
transcript.pyannote[697].start |
5775.58409375 |
transcript.pyannote[697].end |
5780.15721875 |
transcript.pyannote[698].speaker |
SPEAKER_17 |
transcript.pyannote[698].start |
5780.93346875 |
transcript.pyannote[698].end |
5782.97534375 |
transcript.pyannote[699].speaker |
SPEAKER_17 |
transcript.pyannote[699].start |
5783.48159375 |
transcript.pyannote[699].end |
5786.51909375 |
transcript.pyannote[700].speaker |
SPEAKER_17 |
transcript.pyannote[700].start |
5786.60346875 |
transcript.pyannote[700].end |
5788.67909375 |
transcript.pyannote[701].speaker |
SPEAKER_17 |
transcript.pyannote[701].start |
5788.94909375 |
transcript.pyannote[701].end |
5791.00784375 |
transcript.pyannote[702].speaker |
SPEAKER_17 |
transcript.pyannote[702].start |
5791.34534375 |
transcript.pyannote[702].end |
5793.01596875 |
transcript.pyannote[703].speaker |
SPEAKER_17 |
transcript.pyannote[703].start |
5793.31971875 |
transcript.pyannote[703].end |
5798.21346875 |
transcript.pyannote[704].speaker |
SPEAKER_17 |
transcript.pyannote[704].start |
5798.50034375 |
transcript.pyannote[704].end |
5802.63471875 |
transcript.pyannote[705].speaker |
SPEAKER_17 |
transcript.pyannote[705].start |
5803.44471875 |
transcript.pyannote[705].end |
5805.99284375 |
transcript.pyannote[706].speaker |
SPEAKER_17 |
transcript.pyannote[706].start |
5806.48221875 |
transcript.pyannote[706].end |
5806.78596875 |
transcript.pyannote[707].speaker |
SPEAKER_17 |
transcript.pyannote[707].start |
5807.71409375 |
transcript.pyannote[707].end |
5809.68846875 |
transcript.pyannote[708].speaker |
SPEAKER_17 |
transcript.pyannote[708].start |
5809.94159375 |
transcript.pyannote[708].end |
5813.94096875 |
transcript.pyannote[709].speaker |
SPEAKER_17 |
transcript.pyannote[709].start |
5814.14346875 |
transcript.pyannote[709].end |
5815.30784375 |
transcript.pyannote[710].speaker |
SPEAKER_17 |
transcript.pyannote[710].start |
5815.61159375 |
transcript.pyannote[710].end |
5815.91534375 |
transcript.pyannote[711].speaker |
SPEAKER_17 |
transcript.pyannote[711].start |
5816.67471875 |
transcript.pyannote[711].end |
5817.65346875 |
transcript.pyannote[712].speaker |
SPEAKER_17 |
transcript.pyannote[712].start |
5817.90659375 |
transcript.pyannote[712].end |
5821.72034375 |
transcript.pyannote[713].speaker |
SPEAKER_17 |
transcript.pyannote[713].start |
5822.12534375 |
transcript.pyannote[713].end |
5824.16721875 |
transcript.pyannote[714].speaker |
SPEAKER_17 |
transcript.pyannote[714].start |
5825.51721875 |
transcript.pyannote[714].end |
5826.63096875 |
transcript.pyannote[715].speaker |
SPEAKER_20 |
transcript.pyannote[715].start |
5825.55096875 |
transcript.pyannote[715].end |
5830.22534375 |
transcript.pyannote[716].speaker |
SPEAKER_17 |
transcript.pyannote[716].start |
5830.22534375 |
transcript.pyannote[716].end |
5833.27971875 |
transcript.pyannote[717].speaker |
SPEAKER_20 |
transcript.pyannote[717].start |
5834.03909375 |
transcript.pyannote[717].end |
5835.84471875 |
transcript.pyannote[718].speaker |
SPEAKER_20 |
transcript.pyannote[718].start |
5836.06409375 |
transcript.pyannote[718].end |
5840.08034375 |
transcript.pyannote[719].speaker |
SPEAKER_17 |
transcript.pyannote[719].start |
5836.84034375 |
transcript.pyannote[719].end |
5838.79784375 |
transcript.pyannote[720].speaker |
SPEAKER_17 |
transcript.pyannote[720].start |
5839.40534375 |
transcript.pyannote[720].end |
5840.04659375 |
transcript.pyannote[721].speaker |
SPEAKER_17 |
transcript.pyannote[721].start |
5840.08034375 |
transcript.pyannote[721].end |
5840.97471875 |
transcript.pyannote[722].speaker |
SPEAKER_20 |
transcript.pyannote[722].start |
5840.97471875 |
transcript.pyannote[722].end |
5847.28596875 |
transcript.pyannote[723].speaker |
SPEAKER_17 |
transcript.pyannote[723].start |
5841.22784375 |
transcript.pyannote[723].end |
5841.81846875 |
transcript.pyannote[724].speaker |
SPEAKER_17 |
transcript.pyannote[724].start |
5843.91096875 |
transcript.pyannote[724].end |
5843.92784375 |
transcript.pyannote[725].speaker |
SPEAKER_17 |
transcript.pyannote[725].start |
5845.66596875 |
transcript.pyannote[725].end |
5848.36596875 |
transcript.pyannote[726].speaker |
SPEAKER_20 |
transcript.pyannote[726].start |
5848.02846875 |
transcript.pyannote[726].end |
5849.05784375 |
transcript.pyannote[727].speaker |
SPEAKER_17 |
transcript.pyannote[727].start |
5848.61909375 |
transcript.pyannote[727].end |
5849.14221875 |
transcript.pyannote[728].speaker |
SPEAKER_20 |
transcript.pyannote[728].start |
5849.14221875 |
transcript.pyannote[728].end |
5849.96909375 |
transcript.pyannote[729].speaker |
SPEAKER_17 |
transcript.pyannote[729].start |
5849.96909375 |
transcript.pyannote[729].end |
5851.58909375 |
transcript.pyannote[730].speaker |
SPEAKER_20 |
transcript.pyannote[730].start |
5850.96471875 |
transcript.pyannote[730].end |
5851.52159375 |
transcript.pyannote[731].speaker |
SPEAKER_20 |
transcript.pyannote[731].start |
5851.58909375 |
transcript.pyannote[731].end |
5851.84221875 |
transcript.pyannote[732].speaker |
SPEAKER_17 |
transcript.pyannote[732].start |
5851.84221875 |
transcript.pyannote[732].end |
5854.25534375 |
transcript.pyannote[733].speaker |
SPEAKER_20 |
transcript.pyannote[733].start |
5851.87596875 |
transcript.pyannote[733].end |
5851.99409375 |
transcript.pyannote[734].speaker |
SPEAKER_24 |
transcript.pyannote[734].start |
5851.99409375 |
transcript.pyannote[734].end |
5853.14159375 |
transcript.pyannote[735].speaker |
SPEAKER_20 |
transcript.pyannote[735].start |
5853.14159375 |
transcript.pyannote[735].end |
5853.58034375 |
transcript.pyannote[736].speaker |
SPEAKER_20 |
transcript.pyannote[736].start |
5853.59721875 |
transcript.pyannote[736].end |
5853.64784375 |
transcript.pyannote[737].speaker |
SPEAKER_24 |
transcript.pyannote[737].start |
5854.25534375 |
transcript.pyannote[737].end |
5854.32284375 |
transcript.pyannote[738].speaker |
SPEAKER_17 |
transcript.pyannote[738].start |
5855.01471875 |
transcript.pyannote[738].end |
5856.97221875 |
transcript.pyannote[739].speaker |
SPEAKER_20 |
transcript.pyannote[739].start |
5856.97221875 |
transcript.pyannote[739].end |
5857.02284375 |
transcript.pyannote[740].speaker |
SPEAKER_17 |
transcript.pyannote[740].start |
5857.02284375 |
transcript.pyannote[740].end |
5857.12409375 |
transcript.pyannote[741].speaker |
SPEAKER_20 |
transcript.pyannote[741].start |
5857.12409375 |
transcript.pyannote[741].end |
5860.92096875 |
transcript.pyannote[742].speaker |
SPEAKER_17 |
transcript.pyannote[742].start |
5857.68096875 |
transcript.pyannote[742].end |
5858.59221875 |
transcript.pyannote[743].speaker |
SPEAKER_17 |
transcript.pyannote[743].start |
5860.63409375 |
transcript.pyannote[743].end |
5863.03034375 |
transcript.pyannote[744].speaker |
SPEAKER_20 |
transcript.pyannote[744].start |
5862.67596875 |
transcript.pyannote[744].end |
5865.67971875 |
transcript.pyannote[745].speaker |
SPEAKER_17 |
transcript.pyannote[745].start |
5865.32534375 |
transcript.pyannote[745].end |
5866.38846875 |
transcript.pyannote[746].speaker |
SPEAKER_20 |
transcript.pyannote[746].start |
5867.02971875 |
transcript.pyannote[746].end |
5868.83534375 |
transcript.pyannote[747].speaker |
SPEAKER_17 |
transcript.pyannote[747].start |
5867.97471875 |
transcript.pyannote[747].end |
5870.32034375 |
transcript.pyannote[748].speaker |
SPEAKER_20 |
transcript.pyannote[748].start |
5870.26971875 |
transcript.pyannote[748].end |
5872.95284375 |
transcript.pyannote[749].speaker |
SPEAKER_17 |
transcript.pyannote[749].start |
5872.34534375 |
transcript.pyannote[749].end |
5874.20159375 |
transcript.pyannote[750].speaker |
SPEAKER_17 |
transcript.pyannote[750].start |
5875.01159375 |
transcript.pyannote[750].end |
5877.45846875 |
transcript.pyannote[751].speaker |
SPEAKER_20 |
transcript.pyannote[751].start |
5877.45846875 |
transcript.pyannote[751].end |
5877.50909375 |
transcript.pyannote[752].speaker |
SPEAKER_24 |
transcript.pyannote[752].start |
5877.50909375 |
transcript.pyannote[752].end |
5877.76221875 |
transcript.pyannote[753].speaker |
SPEAKER_20 |
transcript.pyannote[753].start |
5877.76221875 |
transcript.pyannote[753].end |
5877.82971875 |
transcript.pyannote[754].speaker |
SPEAKER_17 |
transcript.pyannote[754].start |
5877.89721875 |
transcript.pyannote[754].end |
5878.92659375 |
transcript.pyannote[755].speaker |
SPEAKER_17 |
transcript.pyannote[755].start |
5879.95596875 |
transcript.pyannote[755].end |
5881.05284375 |
transcript.pyannote[756].speaker |
SPEAKER_17 |
transcript.pyannote[756].start |
5881.30596875 |
transcript.pyannote[756].end |
5885.33909375 |
transcript.pyannote[757].speaker |
SPEAKER_17 |
transcript.pyannote[757].start |
5885.77784375 |
transcript.pyannote[757].end |
5890.40159375 |
transcript.pyannote[758].speaker |
SPEAKER_20 |
transcript.pyannote[758].start |
5890.78971875 |
transcript.pyannote[758].end |
5891.44784375 |
transcript.pyannote[759].speaker |
SPEAKER_17 |
transcript.pyannote[759].start |
5890.94159375 |
transcript.pyannote[759].end |
5894.51909375 |
transcript.pyannote[760].speaker |
SPEAKER_24 |
transcript.pyannote[760].start |
5891.44784375 |
transcript.pyannote[760].end |
5891.46471875 |
transcript.pyannote[761].speaker |
SPEAKER_20 |
transcript.pyannote[761].start |
5891.46471875 |
transcript.pyannote[761].end |
5891.48159375 |
transcript.pyannote[762].speaker |
SPEAKER_17 |
transcript.pyannote[762].start |
5894.90721875 |
transcript.pyannote[762].end |
5896.17284375 |
transcript.pyannote[763].speaker |
SPEAKER_17 |
transcript.pyannote[763].start |
5896.25721875 |
transcript.pyannote[763].end |
5901.55596875 |
transcript.pyannote[764].speaker |
SPEAKER_17 |
transcript.pyannote[764].start |
5902.07909375 |
transcript.pyannote[764].end |
5904.00284375 |
transcript.pyannote[765].speaker |
SPEAKER_17 |
transcript.pyannote[765].start |
5905.92659375 |
transcript.pyannote[765].end |
5907.96846875 |
transcript.pyannote[766].speaker |
SPEAKER_17 |
transcript.pyannote[766].start |
5908.55909375 |
transcript.pyannote[766].end |
5909.25096875 |
transcript.pyannote[767].speaker |
SPEAKER_17 |
transcript.pyannote[767].start |
5910.01034375 |
transcript.pyannote[767].end |
5913.82409375 |
transcript.pyannote[768].speaker |
SPEAKER_17 |
transcript.pyannote[768].start |
5914.49909375 |
transcript.pyannote[768].end |
5919.35909375 |
transcript.pyannote[769].speaker |
SPEAKER_17 |
transcript.pyannote[769].start |
5920.47284375 |
transcript.pyannote[769].end |
5924.87721875 |
transcript.pyannote[770].speaker |
SPEAKER_17 |
transcript.pyannote[770].start |
5924.97846875 |
transcript.pyannote[770].end |
5925.72096875 |
transcript.pyannote[771].speaker |
SPEAKER_20 |
transcript.pyannote[771].start |
5925.72096875 |
transcript.pyannote[771].end |
5932.23471875 |
transcript.pyannote[772].speaker |
SPEAKER_17 |
transcript.pyannote[772].start |
5931.99846875 |
transcript.pyannote[772].end |
5937.82034375 |
transcript.pyannote[773].speaker |
SPEAKER_20 |
transcript.pyannote[773].start |
5934.90096875 |
transcript.pyannote[773].end |
5935.94721875 |
transcript.pyannote[774].speaker |
SPEAKER_17 |
transcript.pyannote[774].start |
5938.15784375 |
transcript.pyannote[774].end |
5945.49846875 |
transcript.pyannote[775].speaker |
SPEAKER_20 |
transcript.pyannote[775].start |
5942.71409375 |
transcript.pyannote[775].end |
5944.48596875 |
transcript.pyannote[776].speaker |
SPEAKER_24 |
transcript.pyannote[776].start |
5944.48596875 |
transcript.pyannote[776].end |
5944.51971875 |
transcript.pyannote[777].speaker |
SPEAKER_20 |
transcript.pyannote[777].start |
5944.51971875 |
transcript.pyannote[777].end |
5944.55346875 |
transcript.pyannote[778].speaker |
SPEAKER_24 |
transcript.pyannote[778].start |
5944.55346875 |
transcript.pyannote[778].end |
5944.60409375 |
transcript.pyannote[779].speaker |
SPEAKER_17 |
transcript.pyannote[779].start |
5946.02159375 |
transcript.pyannote[779].end |
5946.52784375 |
transcript.pyannote[780].speaker |
SPEAKER_20 |
transcript.pyannote[780].start |
5946.52784375 |
transcript.pyannote[780].end |
5946.83159375 |
transcript.pyannote[781].speaker |
SPEAKER_17 |
transcript.pyannote[781].start |
5946.83159375 |
transcript.pyannote[781].end |
5949.68346875 |
transcript.pyannote[782].speaker |
SPEAKER_20 |
transcript.pyannote[782].start |
5948.26596875 |
transcript.pyannote[782].end |
5948.51909375 |
transcript.pyannote[783].speaker |
SPEAKER_20 |
transcript.pyannote[783].start |
5948.83971875 |
transcript.pyannote[783].end |
5951.23596875 |
transcript.pyannote[784].speaker |
SPEAKER_17 |
transcript.pyannote[784].start |
5951.01659375 |
transcript.pyannote[784].end |
5953.17659375 |
transcript.pyannote[785].speaker |
SPEAKER_20 |
transcript.pyannote[785].start |
5952.88971875 |
transcript.pyannote[785].end |
5954.03721875 |
transcript.pyannote[786].speaker |
SPEAKER_17 |
transcript.pyannote[786].start |
5953.73346875 |
transcript.pyannote[786].end |
5954.20596875 |
transcript.pyannote[787].speaker |
SPEAKER_17 |
transcript.pyannote[787].start |
5954.71221875 |
transcript.pyannote[787].end |
5957.20971875 |
transcript.pyannote[788].speaker |
SPEAKER_17 |
transcript.pyannote[788].start |
5958.18846875 |
transcript.pyannote[788].end |
5965.14096875 |
transcript.pyannote[789].speaker |
SPEAKER_17 |
transcript.pyannote[789].start |
5965.32659375 |
transcript.pyannote[789].end |
5968.88721875 |
transcript.pyannote[790].speaker |
SPEAKER_17 |
transcript.pyannote[790].start |
5969.37659375 |
transcript.pyannote[790].end |
5973.10596875 |
transcript.pyannote[791].speaker |
SPEAKER_17 |
transcript.pyannote[791].start |
5973.64596875 |
transcript.pyannote[791].end |
5977.62846875 |
transcript.pyannote[792].speaker |
SPEAKER_17 |
transcript.pyannote[792].start |
5978.50596875 |
transcript.pyannote[792].end |
5981.02034375 |
transcript.pyannote[793].speaker |
SPEAKER_17 |
transcript.pyannote[793].start |
5981.59409375 |
transcript.pyannote[793].end |
5983.16346875 |
transcript.pyannote[794].speaker |
SPEAKER_17 |
transcript.pyannote[794].start |
5983.53471875 |
transcript.pyannote[794].end |
5984.14221875 |
transcript.pyannote[795].speaker |
SPEAKER_17 |
transcript.pyannote[795].start |
5984.83409375 |
transcript.pyannote[795].end |
5985.40784375 |
transcript.pyannote[796].speaker |
SPEAKER_17 |
transcript.pyannote[796].start |
5986.03221875 |
transcript.pyannote[796].end |
5990.87534375 |
transcript.pyannote[797].speaker |
SPEAKER_17 |
transcript.pyannote[797].start |
5991.46596875 |
transcript.pyannote[797].end |
5993.86221875 |
transcript.pyannote[798].speaker |
SPEAKER_17 |
transcript.pyannote[798].start |
5994.48659375 |
transcript.pyannote[798].end |
6000.08909375 |
transcript.pyannote[799].speaker |
SPEAKER_20 |
transcript.pyannote[799].start |
5996.30909375 |
transcript.pyannote[799].end |
5998.68846875 |
transcript.pyannote[800].speaker |
SPEAKER_17 |
transcript.pyannote[800].start |
6000.96659375 |
transcript.pyannote[800].end |
6003.63284375 |
transcript.pyannote[801].speaker |
SPEAKER_17 |
transcript.pyannote[801].start |
6004.49346875 |
transcript.pyannote[801].end |
6008.08784375 |
transcript.pyannote[802].speaker |
SPEAKER_17 |
transcript.pyannote[802].start |
6009.11721875 |
transcript.pyannote[802].end |
6011.41221875 |
transcript.pyannote[803].speaker |
SPEAKER_17 |
transcript.pyannote[803].start |
6011.80034375 |
transcript.pyannote[803].end |
6016.86284375 |
transcript.pyannote[804].speaker |
SPEAKER_17 |
transcript.pyannote[804].start |
6017.36909375 |
transcript.pyannote[804].end |
6020.18721875 |
transcript.pyannote[805].speaker |
SPEAKER_17 |
transcript.pyannote[805].start |
6020.57534375 |
transcript.pyannote[805].end |
6023.64659375 |
transcript.pyannote[806].speaker |
SPEAKER_17 |
transcript.pyannote[806].start |
6024.37221875 |
transcript.pyannote[806].end |
6024.79409375 |
transcript.pyannote[807].speaker |
SPEAKER_17 |
transcript.pyannote[807].start |
6025.36784375 |
transcript.pyannote[807].end |
6026.29596875 |
transcript.pyannote[808].speaker |
SPEAKER_17 |
transcript.pyannote[808].start |
6026.80221875 |
transcript.pyannote[808].end |
6030.80159375 |
transcript.pyannote[809].speaker |
SPEAKER_17 |
transcript.pyannote[809].start |
6031.47659375 |
transcript.pyannote[809].end |
6032.59034375 |
transcript.pyannote[810].speaker |
SPEAKER_17 |
transcript.pyannote[810].start |
6033.06284375 |
transcript.pyannote[810].end |
6035.49284375 |
transcript.pyannote[811].speaker |
SPEAKER_17 |
transcript.pyannote[811].start |
6036.74159375 |
transcript.pyannote[811].end |
6037.02846875 |
transcript.pyannote[812].speaker |
SPEAKER_20 |
transcript.pyannote[812].start |
6037.02846875 |
transcript.pyannote[812].end |
6037.29846875 |
transcript.pyannote[813].speaker |
SPEAKER_17 |
transcript.pyannote[813].start |
6037.29846875 |
transcript.pyannote[813].end |
6037.31534375 |
transcript.pyannote[814].speaker |
SPEAKER_20 |
transcript.pyannote[814].start |
6037.31534375 |
transcript.pyannote[814].end |
6037.33221875 |
transcript.pyannote[815].speaker |
SPEAKER_17 |
transcript.pyannote[815].start |
6037.33221875 |
transcript.pyannote[815].end |
6037.34909375 |
transcript.pyannote[816].speaker |
SPEAKER_20 |
transcript.pyannote[816].start |
6037.34909375 |
transcript.pyannote[816].end |
6037.38284375 |
transcript.pyannote[817].speaker |
SPEAKER_17 |
transcript.pyannote[817].start |
6037.38284375 |
transcript.pyannote[817].end |
6037.53471875 |
transcript.pyannote[818].speaker |
SPEAKER_20 |
transcript.pyannote[818].start |
6037.53471875 |
transcript.pyannote[818].end |
6037.55159375 |
transcript.pyannote[819].speaker |
SPEAKER_17 |
transcript.pyannote[819].start |
6037.55159375 |
transcript.pyannote[819].end |
6037.58534375 |
transcript.pyannote[820].speaker |
SPEAKER_17 |
transcript.pyannote[820].start |
6037.88909375 |
transcript.pyannote[820].end |
6037.90596875 |
transcript.pyannote[821].speaker |
SPEAKER_20 |
transcript.pyannote[821].start |
6037.90596875 |
transcript.pyannote[821].end |
6038.61471875 |
transcript.pyannote[822].speaker |
SPEAKER_20 |
transcript.pyannote[822].start |
6039.08721875 |
transcript.pyannote[822].end |
6047.62596875 |
transcript.pyannote[823].speaker |
SPEAKER_17 |
transcript.pyannote[823].start |
6047.01846875 |
transcript.pyannote[823].end |
6051.15284375 |
transcript.pyannote[824].speaker |
SPEAKER_17 |
transcript.pyannote[824].start |
6051.81096875 |
transcript.pyannote[824].end |
6053.21159375 |
transcript.pyannote[825].speaker |
SPEAKER_17 |
transcript.pyannote[825].start |
6054.05534375 |
transcript.pyannote[825].end |
6055.99596875 |
transcript.pyannote[826].speaker |
SPEAKER_17 |
transcript.pyannote[826].start |
6056.60346875 |
transcript.pyannote[826].end |
6059.23596875 |
transcript.pyannote[827].speaker |
SPEAKER_17 |
transcript.pyannote[827].start |
6060.83909375 |
transcript.pyannote[827].end |
6063.53909375 |
transcript.pyannote[828].speaker |
SPEAKER_17 |
transcript.pyannote[828].start |
6063.96096875 |
transcript.pyannote[828].end |
6066.99846875 |
transcript.pyannote[829].speaker |
SPEAKER_17 |
transcript.pyannote[829].start |
6067.45409375 |
transcript.pyannote[829].end |
6075.77346875 |
transcript.pyannote[830].speaker |
SPEAKER_20 |
transcript.pyannote[830].start |
6069.95159375 |
transcript.pyannote[830].end |
6071.58846875 |
transcript.pyannote[831].speaker |
SPEAKER_20 |
transcript.pyannote[831].start |
6072.36471875 |
transcript.pyannote[831].end |
6073.34346875 |
transcript.pyannote[832].speaker |
SPEAKER_20 |
transcript.pyannote[832].start |
6076.41471875 |
transcript.pyannote[832].end |
6090.30284375 |
transcript.pyannote[833].speaker |
SPEAKER_17 |
transcript.pyannote[833].start |
6089.02034375 |
transcript.pyannote[833].end |
6091.77096875 |
transcript.pyannote[834].speaker |
SPEAKER_20 |
transcript.pyannote[834].start |
6091.04534375 |
transcript.pyannote[834].end |
6095.82096875 |
transcript.pyannote[835].speaker |
SPEAKER_17 |
transcript.pyannote[835].start |
6093.57659375 |
transcript.pyannote[835].end |
6095.93909375 |
transcript.pyannote[836].speaker |
SPEAKER_17 |
transcript.pyannote[836].start |
6096.76596875 |
transcript.pyannote[836].end |
6097.98096875 |
transcript.pyannote[837].speaker |
SPEAKER_17 |
transcript.pyannote[837].start |
6098.92596875 |
transcript.pyannote[837].end |
6099.55034375 |
transcript.pyannote[838].speaker |
SPEAKER_17 |
transcript.pyannote[838].start |
6100.32659375 |
transcript.pyannote[838].end |
6102.35159375 |
transcript.pyannote[839].speaker |
SPEAKER_17 |
transcript.pyannote[839].start |
6103.09409375 |
transcript.pyannote[839].end |
6106.70534375 |
transcript.pyannote[840].speaker |
SPEAKER_17 |
transcript.pyannote[840].start |
6107.56596875 |
transcript.pyannote[840].end |
6120.01971875 |
transcript.pyannote[841].speaker |
SPEAKER_20 |
transcript.pyannote[841].start |
6107.63346875 |
transcript.pyannote[841].end |
6110.06346875 |
transcript.pyannote[842].speaker |
SPEAKER_20 |
transcript.pyannote[842].start |
6111.44721875 |
transcript.pyannote[842].end |
6111.48096875 |
transcript.pyannote[843].speaker |
SPEAKER_24 |
transcript.pyannote[843].start |
6111.48096875 |
transcript.pyannote[843].end |
6113.21909375 |
transcript.pyannote[844].speaker |
SPEAKER_24 |
transcript.pyannote[844].start |
6115.29471875 |
transcript.pyannote[844].end |
6115.32846875 |
transcript.pyannote[845].speaker |
SPEAKER_20 |
transcript.pyannote[845].start |
6115.32846875 |
transcript.pyannote[845].end |
6115.34534375 |
transcript.pyannote[846].speaker |
SPEAKER_24 |
transcript.pyannote[846].start |
6115.34534375 |
transcript.pyannote[846].end |
6116.03721875 |
transcript.pyannote[847].speaker |
SPEAKER_20 |
transcript.pyannote[847].start |
6116.03721875 |
transcript.pyannote[847].end |
6117.91034375 |
transcript.pyannote[848].speaker |
SPEAKER_17 |
transcript.pyannote[848].start |
6120.86346875 |
transcript.pyannote[848].end |
6126.09471875 |
transcript.pyannote[849].speaker |
SPEAKER_17 |
transcript.pyannote[849].start |
6127.02284375 |
transcript.pyannote[849].end |
6133.46909375 |
transcript.pyannote[850].speaker |
SPEAKER_24 |
transcript.pyannote[850].start |
6129.11534375 |
transcript.pyannote[850].end |
6129.58784375 |
transcript.pyannote[851].speaker |
SPEAKER_20 |
transcript.pyannote[851].start |
6129.58784375 |
transcript.pyannote[851].end |
6130.02659375 |
transcript.pyannote[852].speaker |
SPEAKER_24 |
transcript.pyannote[852].start |
6130.02659375 |
transcript.pyannote[852].end |
6130.63409375 |
transcript.pyannote[853].speaker |
SPEAKER_17 |
transcript.pyannote[853].start |
6133.97534375 |
transcript.pyannote[853].end |
6136.25346875 |
transcript.pyannote[854].speaker |
SPEAKER_17 |
transcript.pyannote[854].start |
6136.33784375 |
transcript.pyannote[854].end |
6138.85221875 |
transcript.pyannote[855].speaker |
SPEAKER_19 |
transcript.pyannote[855].start |
6136.79346875 |
transcript.pyannote[855].end |
6136.96221875 |
transcript.pyannote[856].speaker |
SPEAKER_24 |
transcript.pyannote[856].start |
6138.85221875 |
transcript.pyannote[856].end |
6138.88596875 |
transcript.pyannote[857].speaker |
SPEAKER_17 |
transcript.pyannote[857].start |
6138.88596875 |
transcript.pyannote[857].end |
6139.96596875 |
transcript.pyannote[858].speaker |
SPEAKER_17 |
transcript.pyannote[858].start |
6140.52284375 |
transcript.pyannote[858].end |
6141.07971875 |
transcript.pyannote[859].speaker |
SPEAKER_17 |
transcript.pyannote[859].start |
6142.21034375 |
transcript.pyannote[859].end |
6142.78409375 |
transcript.pyannote[860].speaker |
SPEAKER_17 |
transcript.pyannote[860].start |
6143.49284375 |
transcript.pyannote[860].end |
6145.53471875 |
transcript.pyannote[861].speaker |
SPEAKER_17 |
transcript.pyannote[861].start |
6146.20971875 |
transcript.pyannote[861].end |
6147.45846875 |
transcript.pyannote[862].speaker |
SPEAKER_17 |
transcript.pyannote[862].start |
6148.28534375 |
transcript.pyannote[862].end |
6150.93471875 |
transcript.pyannote[863].speaker |
SPEAKER_17 |
transcript.pyannote[863].start |
6151.49159375 |
transcript.pyannote[863].end |
6153.29721875 |
transcript.pyannote[864].speaker |
SPEAKER_17 |
transcript.pyannote[864].start |
6153.93846875 |
transcript.pyannote[864].end |
6156.04784375 |
transcript.pyannote[865].speaker |
SPEAKER_17 |
transcript.pyannote[865].start |
6156.52034375 |
transcript.pyannote[865].end |
6165.73409375 |
transcript.pyannote[866].speaker |
SPEAKER_20 |
transcript.pyannote[866].start |
6157.12784375 |
transcript.pyannote[866].end |
6158.32596875 |
transcript.pyannote[867].speaker |
SPEAKER_20 |
transcript.pyannote[867].start |
6159.01784375 |
transcript.pyannote[867].end |
6159.92909375 |
transcript.pyannote[868].speaker |
SPEAKER_21 |
transcript.pyannote[868].start |
6161.19471875 |
transcript.pyannote[868].end |
6162.07221875 |
transcript.pyannote[869].speaker |
SPEAKER_17 |
transcript.pyannote[869].start |
6165.90284375 |
transcript.pyannote[869].end |
6169.44659375 |
transcript.pyannote[870].speaker |
SPEAKER_21 |
transcript.pyannote[870].start |
6169.05846875 |
transcript.pyannote[870].end |
6170.93159375 |
transcript.pyannote[871].speaker |
SPEAKER_17 |
transcript.pyannote[871].start |
6170.15534375 |
transcript.pyannote[871].end |
6175.63971875 |
transcript.pyannote[872].speaker |
SPEAKER_21 |
transcript.pyannote[872].start |
6171.77534375 |
transcript.pyannote[872].end |
6172.80471875 |
transcript.pyannote[873].speaker |
SPEAKER_17 |
transcript.pyannote[873].start |
6176.14596875 |
transcript.pyannote[873].end |
6179.01471875 |
transcript.pyannote[874].speaker |
SPEAKER_17 |
transcript.pyannote[874].start |
6179.16659375 |
transcript.pyannote[874].end |
6180.06096875 |
transcript.pyannote[875].speaker |
SPEAKER_17 |
transcript.pyannote[875].start |
6180.73596875 |
transcript.pyannote[875].end |
6188.66721875 |
transcript.pyannote[876].speaker |
SPEAKER_17 |
transcript.pyannote[876].start |
6188.90346875 |
transcript.pyannote[876].end |
6196.75034375 |
transcript.pyannote[877].speaker |
SPEAKER_17 |
transcript.pyannote[877].start |
6197.07096875 |
transcript.pyannote[877].end |
6199.02846875 |
transcript.pyannote[878].speaker |
SPEAKER_17 |
transcript.pyannote[878].start |
6199.51784375 |
transcript.pyannote[878].end |
6204.63096875 |
transcript.pyannote[879].speaker |
SPEAKER_17 |
transcript.pyannote[879].start |
6205.06971875 |
transcript.pyannote[879].end |
6205.81221875 |
transcript.pyannote[880].speaker |
SPEAKER_20 |
transcript.pyannote[880].start |
6205.39034375 |
transcript.pyannote[880].end |
6205.62659375 |
transcript.pyannote[881].speaker |
SPEAKER_20 |
transcript.pyannote[881].start |
6205.81221875 |
transcript.pyannote[881].end |
6213.16971875 |
transcript.pyannote[882].speaker |
SPEAKER_17 |
transcript.pyannote[882].start |
6211.97159375 |
transcript.pyannote[882].end |
6218.65409375 |
transcript.pyannote[883].speaker |
SPEAKER_17 |
transcript.pyannote[883].start |
6219.21096875 |
transcript.pyannote[883].end |
6226.09596875 |
transcript.pyannote[884].speaker |
SPEAKER_20 |
transcript.pyannote[884].start |
6226.09596875 |
transcript.pyannote[884].end |
6230.16284375 |
transcript.pyannote[885].speaker |
SPEAKER_17 |
transcript.pyannote[885].start |
6226.39971875 |
transcript.pyannote[885].end |
6226.88909375 |
transcript.pyannote[886].speaker |
SPEAKER_17 |
transcript.pyannote[886].start |
6228.32346875 |
transcript.pyannote[886].end |
6230.77034375 |
transcript.pyannote[887].speaker |
SPEAKER_20 |
transcript.pyannote[887].start |
6230.26409375 |
transcript.pyannote[887].end |
6235.73159375 |
transcript.pyannote[888].speaker |
SPEAKER_17 |
transcript.pyannote[888].start |
6236.01846875 |
transcript.pyannote[888].end |
6237.16596875 |
transcript.pyannote[889].speaker |
SPEAKER_20 |
transcript.pyannote[889].start |
6236.64284375 |
transcript.pyannote[889].end |
6240.52409375 |
transcript.pyannote[890].speaker |
SPEAKER_17 |
transcript.pyannote[890].start |
6237.58784375 |
transcript.pyannote[890].end |
6242.92034375 |
transcript.pyannote[891].speaker |
SPEAKER_20 |
transcript.pyannote[891].start |
6242.32971875 |
transcript.pyannote[891].end |
6245.35034375 |
transcript.pyannote[892].speaker |
SPEAKER_17 |
transcript.pyannote[892].start |
6244.25346875 |
transcript.pyannote[892].end |
6248.50596875 |
transcript.pyannote[893].speaker |
SPEAKER_20 |
transcript.pyannote[893].start |
6246.53159375 |
transcript.pyannote[893].end |
6247.29096875 |
transcript.pyannote[894].speaker |
SPEAKER_17 |
transcript.pyannote[894].start |
6248.70846875 |
transcript.pyannote[894].end |
6251.52659375 |
transcript.pyannote[895].speaker |
SPEAKER_17 |
transcript.pyannote[895].start |
6251.84721875 |
transcript.pyannote[895].end |
6254.59784375 |
transcript.pyannote[896].speaker |
SPEAKER_17 |
transcript.pyannote[896].start |
6255.10409375 |
transcript.pyannote[896].end |
6269.80221875 |
transcript.pyannote[897].speaker |
SPEAKER_17 |
transcript.pyannote[897].start |
6270.03846875 |
transcript.pyannote[897].end |
6273.46409375 |
transcript.pyannote[898].speaker |
SPEAKER_17 |
transcript.pyannote[898].start |
6273.91971875 |
transcript.pyannote[898].end |
6276.40034375 |
transcript.pyannote[899].speaker |
SPEAKER_17 |
transcript.pyannote[899].start |
6276.83909375 |
transcript.pyannote[899].end |
6277.42971875 |
transcript.pyannote[900].speaker |
SPEAKER_17 |
transcript.pyannote[900].start |
6278.00346875 |
transcript.pyannote[900].end |
6280.12971875 |
transcript.pyannote[901].speaker |
SPEAKER_17 |
transcript.pyannote[901].start |
6280.43346875 |
transcript.pyannote[901].end |
6281.44596875 |
transcript.pyannote[902].speaker |
SPEAKER_17 |
transcript.pyannote[902].start |
6281.78346875 |
transcript.pyannote[902].end |
6284.01096875 |
transcript.pyannote[903].speaker |
SPEAKER_17 |
transcript.pyannote[903].start |
6284.58471875 |
transcript.pyannote[903].end |
6291.75659375 |
transcript.pyannote[904].speaker |
SPEAKER_17 |
transcript.pyannote[904].start |
6292.49909375 |
transcript.pyannote[904].end |
6292.95471875 |
transcript.pyannote[905].speaker |
SPEAKER_17 |
transcript.pyannote[905].start |
6293.74784375 |
transcript.pyannote[905].end |
6300.26159375 |
transcript.pyannote[906].speaker |
SPEAKER_20 |
transcript.pyannote[906].start |
6300.26159375 |
transcript.pyannote[906].end |
6300.29534375 |
transcript.pyannote[907].speaker |
SPEAKER_17 |
transcript.pyannote[907].start |
6300.83534375 |
transcript.pyannote[907].end |
6300.97034375 |
transcript.pyannote[908].speaker |
SPEAKER_20 |
transcript.pyannote[908].start |
6300.97034375 |
transcript.pyannote[908].end |
6301.62846875 |
transcript.pyannote[909].speaker |
SPEAKER_20 |
transcript.pyannote[909].start |
6302.25284375 |
transcript.pyannote[909].end |
6307.12971875 |
transcript.pyannote[910].speaker |
SPEAKER_17 |
transcript.pyannote[910].start |
6306.18471875 |
transcript.pyannote[910].end |
6311.16284375 |
transcript.pyannote[911].speaker |
SPEAKER_17 |
transcript.pyannote[911].start |
6311.66909375 |
transcript.pyannote[911].end |
6314.30159375 |
transcript.pyannote[912].speaker |
SPEAKER_17 |
transcript.pyannote[912].start |
6314.63909375 |
transcript.pyannote[912].end |
6316.12409375 |
transcript.pyannote[913].speaker |
SPEAKER_20 |
transcript.pyannote[913].start |
6314.67284375 |
transcript.pyannote[913].end |
6318.03096875 |
transcript.pyannote[914].speaker |
SPEAKER_17 |
transcript.pyannote[914].start |
6316.15784375 |
transcript.pyannote[914].end |
6317.84534375 |
transcript.pyannote[915].speaker |
SPEAKER_24 |
transcript.pyannote[915].start |
6318.03096875 |
transcript.pyannote[915].end |
6318.04784375 |
transcript.pyannote[916].speaker |
SPEAKER_17 |
transcript.pyannote[916].start |
6318.04784375 |
transcript.pyannote[916].end |
6323.21159375 |
transcript.pyannote[917].speaker |
SPEAKER_00 |
transcript.pyannote[917].start |
6322.13159375 |
transcript.pyannote[917].end |
6322.30034375 |
transcript.pyannote[918].speaker |
SPEAKER_20 |
transcript.pyannote[918].start |
6322.30034375 |
transcript.pyannote[918].end |
6323.16096875 |
transcript.pyannote[919].speaker |
SPEAKER_17 |
transcript.pyannote[919].start |
6324.08909375 |
transcript.pyannote[919].end |
6324.94971875 |
transcript.pyannote[920].speaker |
SPEAKER_17 |
transcript.pyannote[920].start |
6325.37159375 |
transcript.pyannote[920].end |
6331.41284375 |
transcript.pyannote[921].speaker |
SPEAKER_27 |
transcript.pyannote[921].start |
6326.18159375 |
transcript.pyannote[921].end |
6327.16034375 |
transcript.pyannote[922].speaker |
SPEAKER_17 |
transcript.pyannote[922].start |
6331.66596875 |
transcript.pyannote[922].end |
6332.52659375 |
transcript.pyannote[923].speaker |
SPEAKER_17 |
transcript.pyannote[923].start |
6332.64471875 |
transcript.pyannote[923].end |
6344.96346875 |
transcript.pyannote[924].speaker |
SPEAKER_18 |
transcript.pyannote[924].start |
6340.25534375 |
transcript.pyannote[924].end |
6340.55909375 |
transcript.pyannote[925].speaker |
SPEAKER_20 |
transcript.pyannote[925].start |
6340.55909375 |
transcript.pyannote[925].end |
6341.03159375 |
transcript.pyannote[926].speaker |
SPEAKER_25 |
transcript.pyannote[926].start |
6341.03159375 |
transcript.pyannote[926].end |
6341.38596875 |
transcript.pyannote[927].speaker |
SPEAKER_20 |
transcript.pyannote[927].start |
6341.38596875 |
transcript.pyannote[927].end |
6341.48721875 |
transcript.pyannote[928].speaker |
SPEAKER_25 |
transcript.pyannote[928].start |
6343.54596875 |
transcript.pyannote[928].end |
6344.01846875 |
transcript.pyannote[929].speaker |
SPEAKER_20 |
transcript.pyannote[929].start |
6344.01846875 |
transcript.pyannote[929].end |
6344.03534375 |
transcript.pyannote[930].speaker |
SPEAKER_25 |
transcript.pyannote[930].start |
6344.03534375 |
transcript.pyannote[930].end |
6344.08596875 |
transcript.pyannote[931].speaker |
SPEAKER_20 |
transcript.pyannote[931].start |
6344.08596875 |
transcript.pyannote[931].end |
6344.23784375 |
transcript.pyannote[932].speaker |
SPEAKER_25 |
transcript.pyannote[932].start |
6344.23784375 |
transcript.pyannote[932].end |
6344.94659375 |
transcript.pyannote[933].speaker |
SPEAKER_25 |
transcript.pyannote[933].start |
6344.96346875 |
transcript.pyannote[933].end |
6346.34721875 |
transcript.pyannote[934].speaker |
SPEAKER_17 |
transcript.pyannote[934].start |
6346.34721875 |
transcript.pyannote[934].end |
6346.36409375 |
transcript.pyannote[935].speaker |
SPEAKER_17 |
transcript.pyannote[935].start |
6346.75221875 |
transcript.pyannote[935].end |
6346.78596875 |
transcript.pyannote[936].speaker |
SPEAKER_25 |
transcript.pyannote[936].start |
6346.78596875 |
transcript.pyannote[936].end |
6348.64221875 |
transcript.pyannote[937].speaker |
SPEAKER_20 |
transcript.pyannote[937].start |
6348.96284375 |
transcript.pyannote[937].end |
6349.01346875 |
transcript.pyannote[938].speaker |
SPEAKER_25 |
transcript.pyannote[938].start |
6349.36784375 |
transcript.pyannote[938].end |
6349.89096875 |
transcript.pyannote[939].speaker |
SPEAKER_25 |
transcript.pyannote[939].start |
6350.97096875 |
transcript.pyannote[939].end |
6351.03846875 |
transcript.pyannote[940].speaker |
SPEAKER_17 |
transcript.pyannote[940].start |
6357.04596875 |
transcript.pyannote[940].end |
6365.16284375 |
transcript.pyannote[941].speaker |
SPEAKER_22 |
transcript.pyannote[941].start |
6360.87659375 |
transcript.pyannote[941].end |
6362.63159375 |
transcript.pyannote[942].speaker |
SPEAKER_17 |
transcript.pyannote[942].start |
6365.33159375 |
transcript.pyannote[942].end |
6366.14159375 |
transcript.pyannote[943].speaker |
SPEAKER_17 |
transcript.pyannote[943].start |
6366.59721875 |
transcript.pyannote[943].end |
6367.01909375 |
transcript.pyannote[944].speaker |
SPEAKER_17 |
transcript.pyannote[944].start |
6367.59284375 |
transcript.pyannote[944].end |
6367.84596875 |
transcript.pyannote[945].speaker |
SPEAKER_17 |
transcript.pyannote[945].start |
6368.18346875 |
transcript.pyannote[945].end |
6370.02284375 |
transcript.pyannote[946].speaker |
SPEAKER_17 |
transcript.pyannote[946].start |
6370.25909375 |
transcript.pyannote[946].end |
6370.86659375 |
transcript.pyannote[947].speaker |
SPEAKER_17 |
transcript.pyannote[947].start |
6372.09846875 |
transcript.pyannote[947].end |
6372.46971875 |
transcript.pyannote[948].speaker |
SPEAKER_17 |
transcript.pyannote[948].start |
6373.22909375 |
transcript.pyannote[948].end |
6376.23284375 |
transcript.pyannote[949].speaker |
SPEAKER_17 |
transcript.pyannote[949].start |
6376.73909375 |
transcript.pyannote[949].end |
6377.97096875 |
transcript.pyannote[950].speaker |
SPEAKER_16 |
transcript.pyannote[950].start |
6377.97096875 |
transcript.pyannote[950].end |
6378.54471875 |
transcript.pyannote[951].speaker |
SPEAKER_16 |
transcript.pyannote[951].start |
6380.67096875 |
transcript.pyannote[951].end |
6383.47221875 |
transcript.pyannote[952].speaker |
SPEAKER_16 |
transcript.pyannote[952].start |
6383.96159375 |
transcript.pyannote[952].end |
6385.26096875 |
transcript.pyannote[953].speaker |
SPEAKER_16 |
transcript.pyannote[953].start |
6389.68221875 |
transcript.pyannote[953].end |
6389.69909375 |
transcript.pyannote[954].speaker |
SPEAKER_25 |
transcript.pyannote[954].start |
6389.69909375 |
transcript.pyannote[954].end |
6390.37409375 |
transcript.pyannote[955].speaker |
SPEAKER_16 |
transcript.pyannote[955].start |
6390.84659375 |
transcript.pyannote[955].end |
6390.86346875 |
transcript.pyannote[956].speaker |
SPEAKER_25 |
transcript.pyannote[956].start |
6390.86346875 |
transcript.pyannote[956].end |
6392.19659375 |
transcript.pyannote[957].speaker |
SPEAKER_25 |
transcript.pyannote[957].start |
6392.77034375 |
transcript.pyannote[957].end |
6394.71096875 |
transcript.pyannote[958].speaker |
SPEAKER_25 |
transcript.pyannote[958].start |
6395.55471875 |
transcript.pyannote[958].end |
6403.16534375 |
transcript.pyannote[959].speaker |
SPEAKER_25 |
transcript.pyannote[959].start |
6403.89096875 |
transcript.pyannote[959].end |
6405.07221875 |
transcript.pyannote[960].speaker |
SPEAKER_25 |
transcript.pyannote[960].start |
6405.59534375 |
transcript.pyannote[960].end |
6406.57409375 |
transcript.pyannote[961].speaker |
SPEAKER_25 |
transcript.pyannote[961].start |
6406.69221875 |
transcript.pyannote[961].end |
6408.78471875 |
transcript.pyannote[962].speaker |
SPEAKER_25 |
transcript.pyannote[962].start |
6409.99971875 |
transcript.pyannote[962].end |
6413.08784375 |
transcript.pyannote[963].speaker |
SPEAKER_25 |
transcript.pyannote[963].start |
6414.38721875 |
transcript.pyannote[963].end |
6417.08721875 |
transcript.pyannote[964].speaker |
SPEAKER_25 |
transcript.pyannote[964].start |
6417.22221875 |
transcript.pyannote[964].end |
6420.91784375 |
transcript.pyannote[965].speaker |
SPEAKER_25 |
transcript.pyannote[965].start |
6421.49159375 |
transcript.pyannote[965].end |
6427.06034375 |
transcript.pyannote[966].speaker |
SPEAKER_25 |
transcript.pyannote[966].start |
6427.58346875 |
transcript.pyannote[966].end |
6431.80221875 |
transcript.pyannote[967].speaker |
SPEAKER_25 |
transcript.pyannote[967].start |
6432.44346875 |
transcript.pyannote[967].end |
6434.67096875 |
transcript.pyannote[968].speaker |
SPEAKER_25 |
transcript.pyannote[968].start |
6435.26159375 |
transcript.pyannote[968].end |
6436.37534375 |
transcript.pyannote[969].speaker |
SPEAKER_25 |
transcript.pyannote[969].start |
6436.84784375 |
transcript.pyannote[969].end |
6441.53909375 |
transcript.pyannote[970].speaker |
SPEAKER_25 |
transcript.pyannote[970].start |
6443.22659375 |
transcript.pyannote[970].end |
6443.76659375 |
transcript.pyannote[971].speaker |
SPEAKER_25 |
transcript.pyannote[971].start |
6444.99846875 |
transcript.pyannote[971].end |
6447.04034375 |
transcript.pyannote[972].speaker |
SPEAKER_25 |
transcript.pyannote[972].start |
6448.39034375 |
transcript.pyannote[972].end |
6449.40284375 |
transcript.pyannote[973].speaker |
SPEAKER_25 |
transcript.pyannote[973].start |
6450.29721875 |
transcript.pyannote[973].end |
6452.92971875 |
transcript.pyannote[974].speaker |
SPEAKER_25 |
transcript.pyannote[974].start |
6454.76909375 |
transcript.pyannote[974].end |
6455.78159375 |
transcript.pyannote[975].speaker |
SPEAKER_25 |
transcript.pyannote[975].start |
6456.01784375 |
transcript.pyannote[975].end |
6459.02159375 |
transcript.pyannote[976].speaker |
SPEAKER_25 |
transcript.pyannote[976].start |
6459.49409375 |
transcript.pyannote[976].end |
6460.03409375 |
transcript.pyannote[977].speaker |
SPEAKER_25 |
transcript.pyannote[977].start |
6460.43909375 |
transcript.pyannote[977].end |
6461.63721875 |
transcript.pyannote[978].speaker |
SPEAKER_25 |
transcript.pyannote[978].start |
6462.24471875 |
transcript.pyannote[978].end |
6463.39221875 |
transcript.pyannote[979].speaker |
SPEAKER_25 |
transcript.pyannote[979].start |
6463.84784375 |
transcript.pyannote[979].end |
6466.36221875 |
transcript.pyannote[980].speaker |
SPEAKER_25 |
transcript.pyannote[980].start |
6466.73346875 |
transcript.pyannote[980].end |
6468.74159375 |
transcript.pyannote[981].speaker |
SPEAKER_25 |
transcript.pyannote[981].start |
6469.46721875 |
transcript.pyannote[981].end |
6469.93971875 |
transcript.pyannote[982].speaker |
SPEAKER_25 |
transcript.pyannote[982].start |
6470.36159375 |
transcript.pyannote[982].end |
6472.23471875 |
transcript.pyannote[983].speaker |
SPEAKER_25 |
transcript.pyannote[983].start |
6472.69034375 |
transcript.pyannote[983].end |
6473.87159375 |
transcript.pyannote[984].speaker |
SPEAKER_25 |
transcript.pyannote[984].start |
6474.71534375 |
transcript.pyannote[984].end |
6475.79534375 |
transcript.pyannote[985].speaker |
SPEAKER_25 |
transcript.pyannote[985].start |
6476.25096875 |
transcript.pyannote[985].end |
6479.10284375 |
transcript.pyannote[986].speaker |
SPEAKER_25 |
transcript.pyannote[986].start |
6479.47409375 |
transcript.pyannote[986].end |
6481.58346875 |
transcript.pyannote[987].speaker |
SPEAKER_25 |
transcript.pyannote[987].start |
6483.49034375 |
transcript.pyannote[987].end |
6485.81909375 |
transcript.pyannote[988].speaker |
SPEAKER_25 |
transcript.pyannote[988].start |
6486.25784375 |
transcript.pyannote[988].end |
6487.65846875 |
transcript.pyannote[989].speaker |
SPEAKER_25 |
transcript.pyannote[989].start |
6487.97909375 |
transcript.pyannote[989].end |
6492.16409375 |
transcript.pyannote[990].speaker |
SPEAKER_25 |
transcript.pyannote[990].start |
6494.23971875 |
transcript.pyannote[990].end |
6495.21846875 |
transcript.pyannote[991].speaker |
SPEAKER_25 |
transcript.pyannote[991].start |
6496.97346875 |
transcript.pyannote[991].end |
6498.54284375 |
transcript.pyannote[992].speaker |
SPEAKER_25 |
transcript.pyannote[992].start |
6498.98159375 |
transcript.pyannote[992].end |
6499.38659375 |
transcript.pyannote[993].speaker |
SPEAKER_25 |
transcript.pyannote[993].start |
6500.80409375 |
transcript.pyannote[993].end |
6501.54659375 |
transcript.pyannote[994].speaker |
SPEAKER_25 |
transcript.pyannote[994].start |
6503.28471875 |
transcript.pyannote[994].end |
6504.51659375 |
transcript.pyannote[995].speaker |
SPEAKER_25 |
transcript.pyannote[995].start |
6506.08596875 |
transcript.pyannote[995].end |
6507.33471875 |
transcript.pyannote[996].speaker |
SPEAKER_25 |
transcript.pyannote[996].start |
6509.73096875 |
transcript.pyannote[996].end |
6510.49034375 |
transcript.pyannote[997].speaker |
SPEAKER_25 |
transcript.pyannote[997].start |
6511.48596875 |
transcript.pyannote[997].end |
6512.24534375 |
transcript.pyannote[998].speaker |
SPEAKER_25 |
transcript.pyannote[998].start |
6513.86534375 |
transcript.pyannote[998].end |
6514.60784375 |
transcript.pyannote[999].speaker |
SPEAKER_25 |
transcript.pyannote[999].start |
6515.48534375 |
transcript.pyannote[999].end |
6516.70034375 |
transcript.pyannote[1000].speaker |
SPEAKER_25 |
transcript.pyannote[1000].start |
6518.33721875 |
transcript.pyannote[1000].end |
6518.99534375 |
transcript.pyannote[1001].speaker |
SPEAKER_25 |
transcript.pyannote[1001].start |
6519.75471875 |
transcript.pyannote[1001].end |
6520.66596875 |
transcript.pyannote[1002].speaker |
SPEAKER_25 |
transcript.pyannote[1002].start |
6522.13409375 |
transcript.pyannote[1002].end |
6524.59784375 |
transcript.pyannote[1003].speaker |
SPEAKER_21 |
transcript.pyannote[1003].start |
6523.18034375 |
transcript.pyannote[1003].end |
6524.05784375 |
transcript.pyannote[1004].speaker |
SPEAKER_25 |
transcript.pyannote[1004].start |
6525.84659375 |
transcript.pyannote[1004].end |
6527.28096875 |
transcript.pyannote[1005].speaker |
SPEAKER_25 |
transcript.pyannote[1005].start |
6527.63534375 |
transcript.pyannote[1005].end |
6529.45784375 |
transcript.pyannote[1006].speaker |
SPEAKER_25 |
transcript.pyannote[1006].start |
6530.11596875 |
transcript.pyannote[1006].end |
6532.63034375 |
transcript.pyannote[1007].speaker |
SPEAKER_25 |
transcript.pyannote[1007].start |
6534.50346875 |
transcript.pyannote[1007].end |
6535.85346875 |
transcript.pyannote[1008].speaker |
SPEAKER_25 |
transcript.pyannote[1008].start |
6537.22034375 |
transcript.pyannote[1008].end |
6540.66284375 |
transcript.pyannote[1009].speaker |
SPEAKER_25 |
transcript.pyannote[1009].start |
6542.43471875 |
transcript.pyannote[1009].end |
6545.23596875 |
transcript.pyannote[1010].speaker |
SPEAKER_25 |
transcript.pyannote[1010].start |
6547.44659375 |
transcript.pyannote[1010].end |
6550.02846875 |
transcript.pyannote[1011].speaker |
SPEAKER_25 |
transcript.pyannote[1011].start |
6550.39971875 |
transcript.pyannote[1011].end |
6555.15846875 |
transcript.pyannote[1012].speaker |
SPEAKER_25 |
transcript.pyannote[1012].start |
6555.22596875 |
transcript.pyannote[1012].end |
6556.37346875 |
transcript.pyannote[1013].speaker |
SPEAKER_25 |
transcript.pyannote[1013].start |
6557.72346875 |
transcript.pyannote[1013].end |
6558.70221875 |
transcript.pyannote[1014].speaker |
SPEAKER_30 |
transcript.pyannote[1014].start |
6560.44034375 |
transcript.pyannote[1014].end |
6561.85784375 |
transcript.pyannote[1015].speaker |
SPEAKER_25 |
transcript.pyannote[1015].start |
6560.99721875 |
transcript.pyannote[1015].end |
6562.07721875 |
transcript.pyannote[1016].speaker |
SPEAKER_30 |
transcript.pyannote[1016].start |
6562.07721875 |
transcript.pyannote[1016].end |
6568.21971875 |
transcript.pyannote[1017].speaker |
SPEAKER_25 |
transcript.pyannote[1017].start |
6567.39284375 |
transcript.pyannote[1017].end |
6570.68346875 |
transcript.pyannote[1018].speaker |
SPEAKER_30 |
transcript.pyannote[1018].start |
6569.75534375 |
transcript.pyannote[1018].end |
6578.34471875 |
transcript.pyannote[1019].speaker |
SPEAKER_25 |
transcript.pyannote[1019].start |
6576.79221875 |
transcript.pyannote[1019].end |
6586.69784375 |
transcript.pyannote[1020].speaker |
SPEAKER_30 |
transcript.pyannote[1020].start |
6579.30659375 |
transcript.pyannote[1020].end |
6579.94784375 |
transcript.pyannote[1021].speaker |
SPEAKER_30 |
transcript.pyannote[1021].start |
6587.05221875 |
transcript.pyannote[1021].end |
6587.17034375 |
transcript.pyannote[1022].speaker |
SPEAKER_32 |
transcript.pyannote[1022].start |
6587.17034375 |
transcript.pyannote[1022].end |
6587.22096875 |
transcript.pyannote[1023].speaker |
SPEAKER_25 |
transcript.pyannote[1023].start |
6587.22096875 |
transcript.pyannote[1023].end |
6591.42284375 |
transcript.pyannote[1024].speaker |
SPEAKER_30 |
transcript.pyannote[1024].start |
6587.25471875 |
transcript.pyannote[1024].end |
6588.13221875 |
transcript.pyannote[1025].speaker |
SPEAKER_25 |
transcript.pyannote[1025].start |
6591.49034375 |
transcript.pyannote[1025].end |
6591.50721875 |
transcript.pyannote[1026].speaker |
SPEAKER_30 |
transcript.pyannote[1026].start |
6591.50721875 |
transcript.pyannote[1026].end |
6592.78971875 |
transcript.pyannote[1027].speaker |
SPEAKER_25 |
transcript.pyannote[1027].start |
6592.35096875 |
transcript.pyannote[1027].end |
6597.91971875 |
transcript.pyannote[1028].speaker |
SPEAKER_30 |
transcript.pyannote[1028].start |
6595.55721875 |
transcript.pyannote[1028].end |
6605.29409375 |
transcript.pyannote[1029].speaker |
SPEAKER_30 |
transcript.pyannote[1029].start |
6605.41221875 |
transcript.pyannote[1029].end |
6614.74409375 |
transcript.pyannote[1030].speaker |
SPEAKER_25 |
transcript.pyannote[1030].start |
6612.80346875 |
transcript.pyannote[1030].end |
6616.92096875 |
transcript.pyannote[1031].speaker |
SPEAKER_30 |
transcript.pyannote[1031].start |
6616.92096875 |
transcript.pyannote[1031].end |
6619.60409375 |
transcript.pyannote[1032].speaker |
SPEAKER_25 |
transcript.pyannote[1032].start |
6617.93346875 |
transcript.pyannote[1032].end |
6629.35784375 |
transcript.pyannote[1033].speaker |
SPEAKER_30 |
transcript.pyannote[1033].start |
6619.84034375 |
transcript.pyannote[1033].end |
6620.21159375 |
transcript.pyannote[1034].speaker |
SPEAKER_30 |
transcript.pyannote[1034].start |
6628.64909375 |
transcript.pyannote[1034].end |
6629.13846875 |
transcript.pyannote[1035].speaker |
SPEAKER_25 |
transcript.pyannote[1035].start |
6629.99909375 |
transcript.pyannote[1035].end |
6630.91034375 |
transcript.pyannote[1036].speaker |
SPEAKER_30 |
transcript.pyannote[1036].start |
6632.24346875 |
transcript.pyannote[1036].end |
6633.30659375 |
transcript.pyannote[1037].speaker |
SPEAKER_25 |
transcript.pyannote[1037].start |
6632.73284375 |
transcript.pyannote[1037].end |
6634.38659375 |
transcript.pyannote[1038].speaker |
SPEAKER_25 |
transcript.pyannote[1038].start |
6634.70721875 |
transcript.pyannote[1038].end |
6647.85284375 |
transcript.pyannote[1039].speaker |
SPEAKER_08 |
transcript.pyannote[1039].start |
6648.08909375 |
transcript.pyannote[1039].end |
6655.68284375 |
transcript.pyannote[1040].speaker |
SPEAKER_08 |
transcript.pyannote[1040].start |
6656.30721875 |
transcript.pyannote[1040].end |
6662.11221875 |
transcript.pyannote[1041].speaker |
SPEAKER_25 |
transcript.pyannote[1041].start |
6660.64409375 |
transcript.pyannote[1041].end |
6662.90534375 |
transcript.pyannote[1042].speaker |
SPEAKER_08 |
transcript.pyannote[1042].start |
6662.29784375 |
transcript.pyannote[1042].end |
6665.87534375 |
transcript.pyannote[1043].speaker |
SPEAKER_25 |
transcript.pyannote[1043].start |
6663.15846875 |
transcript.pyannote[1043].end |
6663.24284375 |
transcript.pyannote[1044].speaker |
SPEAKER_25 |
transcript.pyannote[1044].start |
6664.12034375 |
transcript.pyannote[1044].end |
6668.55846875 |
transcript.pyannote[1045].speaker |
SPEAKER_25 |
transcript.pyannote[1045].start |
6669.30096875 |
transcript.pyannote[1045].end |
6672.23721875 |
transcript.pyannote[1046].speaker |
SPEAKER_25 |
transcript.pyannote[1046].start |
6674.00909375 |
transcript.pyannote[1046].end |
6682.44659375 |
transcript.pyannote[1047].speaker |
SPEAKER_08 |
transcript.pyannote[1047].start |
6683.59409375 |
transcript.pyannote[1047].end |
6684.35346875 |
transcript.pyannote[1048].speaker |
SPEAKER_25 |
transcript.pyannote[1048].start |
6683.64471875 |
transcript.pyannote[1048].end |
6686.07471875 |
transcript.pyannote[1049].speaker |
SPEAKER_08 |
transcript.pyannote[1049].start |
6686.49659375 |
transcript.pyannote[1049].end |
6689.43284375 |
transcript.pyannote[1050].speaker |
SPEAKER_25 |
transcript.pyannote[1050].start |
6688.16721875 |
transcript.pyannote[1050].end |
6690.34409375 |
transcript.pyannote[1051].speaker |
SPEAKER_08 |
transcript.pyannote[1051].start |
6690.29346875 |
transcript.pyannote[1051].end |
6695.45721875 |
transcript.pyannote[1052].speaker |
SPEAKER_25 |
transcript.pyannote[1052].start |
6691.05284375 |
transcript.pyannote[1052].end |
6692.08221875 |
transcript.pyannote[1053].speaker |
SPEAKER_25 |
transcript.pyannote[1053].start |
6693.73596875 |
transcript.pyannote[1053].end |
6696.87471875 |
transcript.pyannote[1054].speaker |
SPEAKER_25 |
transcript.pyannote[1054].start |
6697.71846875 |
transcript.pyannote[1054].end |
6708.90659375 |
transcript.pyannote[1055].speaker |
SPEAKER_25 |
transcript.pyannote[1055].start |
6709.46346875 |
transcript.pyannote[1055].end |
6733.25721875 |
transcript.pyannote[1056].speaker |
SPEAKER_25 |
transcript.pyannote[1056].start |
6733.51034375 |
transcript.pyannote[1056].end |
6734.60721875 |
transcript.pyannote[1057].speaker |
SPEAKER_25 |
transcript.pyannote[1057].start |
6736.26096875 |
transcript.pyannote[1057].end |
6736.69971875 |
transcript.pyannote[1058].speaker |
SPEAKER_25 |
transcript.pyannote[1058].start |
6736.95284375 |
transcript.pyannote[1058].end |
6738.91034375 |
transcript.pyannote[1059].speaker |
SPEAKER_25 |
transcript.pyannote[1059].start |
6739.58534375 |
transcript.pyannote[1059].end |
6740.88471875 |
transcript.pyannote[1060].speaker |
SPEAKER_30 |
transcript.pyannote[1060].start |
6739.93971875 |
transcript.pyannote[1060].end |
6740.14221875 |
transcript.pyannote[1061].speaker |
SPEAKER_30 |
transcript.pyannote[1061].start |
6740.41221875 |
transcript.pyannote[1061].end |
6743.51721875 |
transcript.pyannote[1062].speaker |
SPEAKER_25 |
transcript.pyannote[1062].start |
6741.49221875 |
transcript.pyannote[1062].end |
6742.16721875 |
transcript.pyannote[1063].speaker |
SPEAKER_25 |
transcript.pyannote[1063].start |
6743.16284375 |
transcript.pyannote[1063].end |
6746.90909375 |
transcript.pyannote[1064].speaker |
SPEAKER_30 |
transcript.pyannote[1064].start |
6747.09471875 |
transcript.pyannote[1064].end |
6758.77221875 |
transcript.pyannote[1065].speaker |
SPEAKER_25 |
transcript.pyannote[1065].start |
6755.70096875 |
transcript.pyannote[1065].end |
6756.10596875 |
transcript.pyannote[1066].speaker |
SPEAKER_25 |
transcript.pyannote[1066].start |
6756.40971875 |
transcript.pyannote[1066].end |
6756.79784375 |
transcript.pyannote[1067].speaker |
SPEAKER_25 |
transcript.pyannote[1067].start |
6757.99596875 |
transcript.pyannote[1067].end |
6759.54846875 |
transcript.pyannote[1068].speaker |
SPEAKER_30 |
transcript.pyannote[1068].start |
6759.05909375 |
transcript.pyannote[1068].end |
6764.71221875 |
transcript.pyannote[1069].speaker |
SPEAKER_25 |
transcript.pyannote[1069].start |
6763.00784375 |
transcript.pyannote[1069].end |
6783.49409375 |
transcript.pyannote[1070].speaker |
SPEAKER_16 |
transcript.pyannote[1070].start |
6778.73534375 |
transcript.pyannote[1070].end |
6778.76909375 |
transcript.pyannote[1071].speaker |
SPEAKER_29 |
transcript.pyannote[1071].start |
6778.76909375 |
transcript.pyannote[1071].end |
6778.97159375 |
transcript.pyannote[1072].speaker |
SPEAKER_16 |
transcript.pyannote[1072].start |
6778.97159375 |
transcript.pyannote[1072].end |
6779.25846875 |
transcript.pyannote[1073].speaker |
SPEAKER_00 |
transcript.pyannote[1073].start |
6781.31721875 |
transcript.pyannote[1073].end |
6781.33409375 |
transcript.pyannote[1074].speaker |
SPEAKER_16 |
transcript.pyannote[1074].start |
6781.33409375 |
transcript.pyannote[1074].end |
6781.94159375 |
transcript.pyannote[1075].speaker |
SPEAKER_25 |
transcript.pyannote[1075].start |
6784.05096875 |
transcript.pyannote[1075].end |
6784.64159375 |
transcript.pyannote[1076].speaker |
SPEAKER_25 |
transcript.pyannote[1076].start |
6785.26596875 |
transcript.pyannote[1076].end |
6787.54409375 |
transcript.pyannote[1077].speaker |
SPEAKER_25 |
transcript.pyannote[1077].start |
6788.38784375 |
transcript.pyannote[1077].end |
6797.34846875 |
transcript.pyannote[1078].speaker |
SPEAKER_30 |
transcript.pyannote[1078].start |
6797.07846875 |
transcript.pyannote[1078].end |
6797.09534375 |
transcript.pyannote[1079].speaker |
SPEAKER_30 |
transcript.pyannote[1079].start |
6797.12909375 |
transcript.pyannote[1079].end |
6797.24721875 |
transcript.pyannote[1080].speaker |
SPEAKER_30 |
transcript.pyannote[1080].start |
6797.63534375 |
transcript.pyannote[1080].end |
6803.10284375 |
transcript.pyannote[1081].speaker |
SPEAKER_25 |
transcript.pyannote[1081].start |
6798.64784375 |
transcript.pyannote[1081].end |
6798.95159375 |
transcript.pyannote[1082].speaker |
SPEAKER_27 |
transcript.pyannote[1082].start |
6798.95159375 |
transcript.pyannote[1082].end |
6799.06971875 |
transcript.pyannote[1083].speaker |
SPEAKER_25 |
transcript.pyannote[1083].start |
6802.19159375 |
transcript.pyannote[1083].end |
6804.87471875 |
transcript.pyannote[1084].speaker |
SPEAKER_30 |
transcript.pyannote[1084].start |
6803.13659375 |
transcript.pyannote[1084].end |
6803.86221875 |
transcript.pyannote[1085].speaker |
SPEAKER_30 |
transcript.pyannote[1085].start |
6804.50346875 |
transcript.pyannote[1085].end |
6804.53721875 |
transcript.pyannote[1086].speaker |
SPEAKER_30 |
transcript.pyannote[1086].start |
6804.55409375 |
transcript.pyannote[1086].end |
6804.58784375 |
transcript.pyannote[1087].speaker |
SPEAKER_25 |
transcript.pyannote[1087].start |
6805.16159375 |
transcript.pyannote[1087].end |
6806.07284375 |
transcript.pyannote[1088].speaker |
SPEAKER_25 |
transcript.pyannote[1088].start |
6806.15721875 |
transcript.pyannote[1088].end |
6813.16034375 |
transcript.pyannote[1089].speaker |
SPEAKER_30 |
transcript.pyannote[1089].start |
6810.91596875 |
transcript.pyannote[1089].end |
6812.19846875 |
transcript.pyannote[1090].speaker |
SPEAKER_30 |
transcript.pyannote[1090].start |
6813.16034375 |
transcript.pyannote[1090].end |
6813.17721875 |
transcript.pyannote[1091].speaker |
SPEAKER_30 |
transcript.pyannote[1091].start |
6813.53159375 |
transcript.pyannote[1091].end |
6819.13409375 |
transcript.pyannote[1092].speaker |
SPEAKER_25 |
transcript.pyannote[1092].start |
6817.51409375 |
transcript.pyannote[1092].end |
6822.27284375 |
transcript.pyannote[1093].speaker |
SPEAKER_30 |
transcript.pyannote[1093].start |
6820.02846875 |
transcript.pyannote[1093].end |
6821.37846875 |
transcript.pyannote[1094].speaker |
SPEAKER_30 |
transcript.pyannote[1094].start |
6821.49659375 |
transcript.pyannote[1094].end |
6831.21659375 |
transcript.pyannote[1095].speaker |
SPEAKER_25 |
transcript.pyannote[1095].start |
6822.89721875 |
transcript.pyannote[1095].end |
6824.71971875 |
transcript.pyannote[1096].speaker |
SPEAKER_25 |
transcript.pyannote[1096].start |
6827.35221875 |
transcript.pyannote[1096].end |
6828.14534375 |
transcript.pyannote[1097].speaker |
SPEAKER_25 |
transcript.pyannote[1097].start |
6830.05221875 |
transcript.pyannote[1097].end |
6847.04534375 |
transcript.pyannote[1098].speaker |
SPEAKER_30 |
transcript.pyannote[1098].start |
6831.63846875 |
transcript.pyannote[1098].end |
6832.19534375 |
transcript.pyannote[1099].speaker |
SPEAKER_30 |
transcript.pyannote[1099].start |
6836.88659375 |
transcript.pyannote[1099].end |
6837.25784375 |
transcript.pyannote[1100].speaker |
SPEAKER_25 |
transcript.pyannote[1100].start |
6847.07909375 |
transcript.pyannote[1100].end |
6847.87221875 |
transcript.pyannote[1101].speaker |
SPEAKER_25 |
transcript.pyannote[1101].start |
6848.22659375 |
transcript.pyannote[1101].end |
6856.44471875 |
transcript.pyannote[1102].speaker |
SPEAKER_30 |
transcript.pyannote[1102].start |
6855.14534375 |
transcript.pyannote[1102].end |
6855.21284375 |
transcript.pyannote[1103].speaker |
SPEAKER_30 |
transcript.pyannote[1103].start |
6855.78659375 |
transcript.pyannote[1103].end |
6856.74846875 |
transcript.pyannote[1104].speaker |
SPEAKER_25 |
transcript.pyannote[1104].start |
6856.56284375 |
transcript.pyannote[1104].end |
6857.87909375 |
transcript.pyannote[1105].speaker |
SPEAKER_30 |
transcript.pyannote[1105].start |
6856.88346875 |
transcript.pyannote[1105].end |
6862.18221875 |
transcript.pyannote[1106].speaker |
SPEAKER_25 |
transcript.pyannote[1106].start |
6858.28409375 |
transcript.pyannote[1106].end |
6859.34721875 |
transcript.pyannote[1107].speaker |
SPEAKER_25 |
transcript.pyannote[1107].start |
6860.74784375 |
transcript.pyannote[1107].end |
6861.59159375 |
transcript.pyannote[1108].speaker |
SPEAKER_00 |
transcript.pyannote[1108].start |
6861.59159375 |
transcript.pyannote[1108].end |
6861.62534375 |
transcript.pyannote[1109].speaker |
SPEAKER_30 |
transcript.pyannote[1109].start |
6862.38471875 |
transcript.pyannote[1109].end |
6875.39534375 |
transcript.pyannote[1110].speaker |
SPEAKER_25 |
transcript.pyannote[1110].start |
6871.69971875 |
transcript.pyannote[1110].end |
6885.52034375 |
transcript.pyannote[1111].speaker |
SPEAKER_30 |
transcript.pyannote[1111].start |
6878.28096875 |
transcript.pyannote[1111].end |
6878.98971875 |
transcript.pyannote[1112].speaker |
SPEAKER_30 |
transcript.pyannote[1112].start |
6880.22159375 |
transcript.pyannote[1112].end |
6880.59284375 |
transcript.pyannote[1113].speaker |
SPEAKER_27 |
transcript.pyannote[1113].start |
6880.59284375 |
transcript.pyannote[1113].end |
6880.66034375 |
transcript.pyannote[1114].speaker |
SPEAKER_25 |
transcript.pyannote[1114].start |
6886.14471875 |
transcript.pyannote[1114].end |
6891.73034375 |
transcript.pyannote[1115].speaker |
SPEAKER_25 |
transcript.pyannote[1115].start |
6892.47284375 |
transcript.pyannote[1115].end |
6893.87346875 |
transcript.pyannote[1116].speaker |
SPEAKER_30 |
transcript.pyannote[1116].start |
6894.61596875 |
transcript.pyannote[1116].end |
6896.75909375 |
transcript.pyannote[1117].speaker |
SPEAKER_25 |
transcript.pyannote[1117].start |
6895.94909375 |
transcript.pyannote[1117].end |
6899.20596875 |
transcript.pyannote[1118].speaker |
SPEAKER_25 |
transcript.pyannote[1118].start |
6899.64471875 |
transcript.pyannote[1118].end |
6900.69096875 |
transcript.pyannote[1119].speaker |
SPEAKER_25 |
transcript.pyannote[1119].start |
6901.72034375 |
transcript.pyannote[1119].end |
6903.67784375 |
transcript.pyannote[1120].speaker |
SPEAKER_30 |
transcript.pyannote[1120].start |
6904.20096875 |
transcript.pyannote[1120].end |
6906.71534375 |
transcript.pyannote[1121].speaker |
SPEAKER_25 |
transcript.pyannote[1121].start |
6904.77471875 |
transcript.pyannote[1121].end |
6907.74471875 |
transcript.pyannote[1122].speaker |
SPEAKER_25 |
transcript.pyannote[1122].start |
6908.31846875 |
transcript.pyannote[1122].end |
6940.14471875 |
transcript.pyannote[1123].speaker |
SPEAKER_25 |
transcript.pyannote[1123].start |
6940.85346875 |
transcript.pyannote[1123].end |
6941.74784375 |
transcript.pyannote[1124].speaker |
SPEAKER_27 |
transcript.pyannote[1124].start |
6941.24159375 |
transcript.pyannote[1124].end |
6941.96721875 |
transcript.pyannote[1125].speaker |
SPEAKER_25 |
transcript.pyannote[1125].start |
6941.96721875 |
transcript.pyannote[1125].end |
6948.12659375 |
transcript.pyannote[1126].speaker |
SPEAKER_25 |
transcript.pyannote[1126].start |
6948.46409375 |
transcript.pyannote[1126].end |
6949.17284375 |
transcript.pyannote[1127].speaker |
SPEAKER_25 |
transcript.pyannote[1127].start |
6949.37534375 |
transcript.pyannote[1127].end |
6951.48471875 |
transcript.pyannote[1128].speaker |
SPEAKER_30 |
transcript.pyannote[1128].start |
6950.91096875 |
transcript.pyannote[1128].end |
6951.53534375 |
transcript.pyannote[1129].speaker |
SPEAKER_30 |
transcript.pyannote[1129].start |
6951.99096875 |
transcript.pyannote[1129].end |
6958.82534375 |
transcript.pyannote[1130].speaker |
SPEAKER_25 |
transcript.pyannote[1130].start |
6953.02034375 |
transcript.pyannote[1130].end |
6953.66159375 |
transcript.pyannote[1131].speaker |
SPEAKER_25 |
transcript.pyannote[1131].start |
6955.56846875 |
transcript.pyannote[1131].end |
6956.32784375 |
transcript.pyannote[1132].speaker |
SPEAKER_25 |
transcript.pyannote[1132].start |
6957.50909375 |
transcript.pyannote[1132].end |
6959.87159375 |
transcript.pyannote[1133].speaker |
SPEAKER_30 |
transcript.pyannote[1133].start |
6959.02784375 |
transcript.pyannote[1133].end |
6962.25096875 |
transcript.pyannote[1134].speaker |
SPEAKER_25 |
transcript.pyannote[1134].start |
6961.03596875 |
transcript.pyannote[1134].end |
6968.89971875 |
transcript.pyannote[1135].speaker |
SPEAKER_25 |
transcript.pyannote[1135].start |
6969.37221875 |
transcript.pyannote[1135].end |
6971.44784375 |
transcript.pyannote[1136].speaker |
SPEAKER_25 |
transcript.pyannote[1136].start |
6972.12284375 |
transcript.pyannote[1136].end |
6973.91159375 |
transcript.pyannote[1137].speaker |
SPEAKER_25 |
transcript.pyannote[1137].start |
6974.29971875 |
transcript.pyannote[1137].end |
6980.89784375 |
transcript.pyannote[1138].speaker |
SPEAKER_25 |
transcript.pyannote[1138].start |
6981.91034375 |
transcript.pyannote[1138].end |
6983.91846875 |
transcript.pyannote[1139].speaker |
SPEAKER_25 |
transcript.pyannote[1139].start |
6984.12096875 |
transcript.pyannote[1139].end |
6985.79159375 |
transcript.pyannote[1140].speaker |
SPEAKER_25 |
transcript.pyannote[1140].start |
6987.25971875 |
transcript.pyannote[1140].end |
6990.85409375 |
transcript.pyannote[1141].speaker |
SPEAKER_30 |
transcript.pyannote[1141].start |
6991.17471875 |
transcript.pyannote[1141].end |
6992.54159375 |
transcript.pyannote[1142].speaker |
SPEAKER_25 |
transcript.pyannote[1142].start |
6991.59659375 |
transcript.pyannote[1142].end |
7001.18159375 |
transcript.pyannote[1143].speaker |
SPEAKER_30 |
transcript.pyannote[1143].start |
6993.85784375 |
transcript.pyannote[1143].end |
6997.11471875 |
transcript.pyannote[1144].speaker |
SPEAKER_25 |
transcript.pyannote[1144].start |
7002.93659375 |
transcript.pyannote[1144].end |
7004.94471875 |
transcript.pyannote[1145].speaker |
SPEAKER_30 |
transcript.pyannote[1145].start |
7004.94471875 |
transcript.pyannote[1145].end |
7005.36659375 |
transcript.pyannote[1146].speaker |
SPEAKER_30 |
transcript.pyannote[1146].start |
7005.40034375 |
transcript.pyannote[1146].end |
7007.12159375 |
transcript.pyannote[1147].speaker |
SPEAKER_25 |
transcript.pyannote[1147].start |
7005.55221875 |
transcript.pyannote[1147].end |
7006.95284375 |
transcript.pyannote[1148].speaker |
SPEAKER_25 |
transcript.pyannote[1148].start |
7007.12159375 |
transcript.pyannote[1148].end |
7013.95596875 |
transcript.pyannote[1149].speaker |
SPEAKER_30 |
transcript.pyannote[1149].start |
7007.34096875 |
transcript.pyannote[1149].end |
7007.66159375 |
transcript.pyannote[1150].speaker |
SPEAKER_30 |
transcript.pyannote[1150].start |
7008.45471875 |
transcript.pyannote[1150].end |
7008.69096875 |
transcript.pyannote[1151].speaker |
SPEAKER_30 |
transcript.pyannote[1151].start |
7010.07471875 |
transcript.pyannote[1151].end |
7010.22659375 |
transcript.pyannote[1152].speaker |
SPEAKER_30 |
transcript.pyannote[1152].start |
7010.29409375 |
transcript.pyannote[1152].end |
7010.34471875 |
transcript.pyannote[1153].speaker |
SPEAKER_30 |
transcript.pyannote[1153].start |
7014.47909375 |
transcript.pyannote[1153].end |
7020.58784375 |
transcript.pyannote[1154].speaker |
SPEAKER_25 |
transcript.pyannote[1154].start |
7014.76596875 |
transcript.pyannote[1154].end |
7015.66034375 |
transcript.pyannote[1155].speaker |
SPEAKER_25 |
transcript.pyannote[1155].start |
7017.65159375 |
transcript.pyannote[1155].end |
7020.82409375 |
transcript.pyannote[1156].speaker |
SPEAKER_30 |
transcript.pyannote[1156].start |
7021.53284375 |
transcript.pyannote[1156].end |
7021.54971875 |
transcript.pyannote[1157].speaker |
SPEAKER_25 |
transcript.pyannote[1157].start |
7021.54971875 |
transcript.pyannote[1157].end |
7022.83221875 |
transcript.pyannote[1158].speaker |
SPEAKER_30 |
transcript.pyannote[1158].start |
7022.83221875 |
transcript.pyannote[1158].end |
7023.03471875 |
transcript.pyannote[1159].speaker |
SPEAKER_30 |
transcript.pyannote[1159].start |
7024.16534375 |
transcript.pyannote[1159].end |
7029.75096875 |
transcript.pyannote[1160].speaker |
SPEAKER_30 |
transcript.pyannote[1160].start |
7030.10534375 |
transcript.pyannote[1160].end |
7030.91534375 |
transcript.pyannote[1161].speaker |
SPEAKER_25 |
transcript.pyannote[1161].start |
7030.17284375 |
transcript.pyannote[1161].end |
7030.86471875 |
transcript.pyannote[1162].speaker |
SPEAKER_25 |
transcript.pyannote[1162].start |
7032.80534375 |
transcript.pyannote[1162].end |
7033.81784375 |
transcript.pyannote[1163].speaker |
SPEAKER_25 |
transcript.pyannote[1163].start |
7034.50971875 |
transcript.pyannote[1163].end |
7036.93971875 |
transcript.pyannote[1164].speaker |
SPEAKER_25 |
transcript.pyannote[1164].start |
7037.86784375 |
transcript.pyannote[1164].end |
7038.59346875 |
transcript.pyannote[1165].speaker |
SPEAKER_25 |
transcript.pyannote[1165].start |
7038.64409375 |
transcript.pyannote[1165].end |
7038.72846875 |
transcript.pyannote[1166].speaker |
SPEAKER_30 |
transcript.pyannote[1166].start |
7038.72846875 |
transcript.pyannote[1166].end |
7045.30971875 |
transcript.pyannote[1167].speaker |
SPEAKER_25 |
transcript.pyannote[1167].start |
7039.50471875 |
transcript.pyannote[1167].end |
7040.01096875 |
transcript.pyannote[1168].speaker |
SPEAKER_25 |
transcript.pyannote[1168].start |
7040.83784375 |
transcript.pyannote[1168].end |
7041.61409375 |
transcript.pyannote[1169].speaker |
SPEAKER_25 |
transcript.pyannote[1169].start |
7042.00221875 |
transcript.pyannote[1169].end |
7042.45784375 |
transcript.pyannote[1170].speaker |
SPEAKER_25 |
transcript.pyannote[1170].start |
7043.36909375 |
transcript.pyannote[1170].end |
7045.96784375 |
transcript.pyannote[1171].speaker |
SPEAKER_25 |
transcript.pyannote[1171].start |
7046.42346875 |
transcript.pyannote[1171].end |
7053.02159375 |
transcript.pyannote[1172].speaker |
SPEAKER_30 |
transcript.pyannote[1172].start |
7046.96346875 |
transcript.pyannote[1172].end |
7048.88721875 |
transcript.pyannote[1173].speaker |
SPEAKER_25 |
transcript.pyannote[1173].start |
7054.11846875 |
transcript.pyannote[1173].end |
7055.21534375 |
transcript.pyannote[1174].speaker |
SPEAKER_25 |
transcript.pyannote[1174].start |
7055.38409375 |
transcript.pyannote[1174].end |
7056.83534375 |
transcript.pyannote[1175].speaker |
SPEAKER_25 |
transcript.pyannote[1175].start |
7058.74221875 |
transcript.pyannote[1175].end |
7059.75471875 |
transcript.pyannote[1176].speaker |
SPEAKER_25 |
transcript.pyannote[1176].start |
7060.76721875 |
transcript.pyannote[1176].end |
7061.93159375 |
transcript.pyannote[1177].speaker |
SPEAKER_25 |
transcript.pyannote[1177].start |
7062.35346875 |
transcript.pyannote[1177].end |
7063.14659375 |
transcript.pyannote[1178].speaker |
SPEAKER_25 |
transcript.pyannote[1178].start |
7063.85534375 |
transcript.pyannote[1178].end |
7065.76221875 |
transcript.pyannote[1179].speaker |
SPEAKER_16 |
transcript.pyannote[1179].start |
7070.99346875 |
transcript.pyannote[1179].end |
7071.44909375 |
transcript.pyannote[1180].speaker |
SPEAKER_16 |
transcript.pyannote[1180].start |
7072.76534375 |
transcript.pyannote[1180].end |
7073.32221875 |
transcript.pyannote[1181].speaker |
SPEAKER_16 |
transcript.pyannote[1181].start |
7074.57096875 |
transcript.pyannote[1181].end |
7075.58346875 |
transcript.pyannote[1182].speaker |
SPEAKER_17 |
transcript.pyannote[1182].start |
7075.58346875 |
transcript.pyannote[1182].end |
7075.60034375 |
transcript.pyannote[1183].speaker |
SPEAKER_16 |
transcript.pyannote[1183].start |
7075.87034375 |
transcript.pyannote[1183].end |
7077.03471875 |
transcript.pyannote[1184].speaker |
SPEAKER_17 |
transcript.pyannote[1184].start |
7077.03471875 |
transcript.pyannote[1184].end |
7077.67596875 |
transcript.pyannote[1185].speaker |
SPEAKER_33 |
transcript.pyannote[1185].start |
7093.25159375 |
transcript.pyannote[1185].end |
7094.75346875 |
transcript.pyannote[1186].speaker |
SPEAKER_25 |
transcript.pyannote[1186].start |
7096.81221875 |
transcript.pyannote[1186].end |
7097.41971875 |
transcript.pyannote[1187].speaker |
SPEAKER_33 |
transcript.pyannote[1187].start |
7102.21221875 |
transcript.pyannote[1187].end |
7102.97159375 |
transcript.pyannote[1188].speaker |
SPEAKER_24 |
transcript.pyannote[1188].start |
7102.95471875 |
transcript.pyannote[1188].end |
7103.88284375 |
transcript.pyannote[1189].speaker |
SPEAKER_33 |
transcript.pyannote[1189].start |
7104.50721875 |
transcript.pyannote[1189].end |
7110.19409375 |
transcript.pyannote[1190].speaker |
SPEAKER_33 |
transcript.pyannote[1190].start |
7110.61596875 |
transcript.pyannote[1190].end |
7115.47596875 |
transcript.pyannote[1191].speaker |
SPEAKER_33 |
transcript.pyannote[1191].start |
7116.40409375 |
transcript.pyannote[1191].end |
7119.61034375 |
transcript.pyannote[1192].speaker |
SPEAKER_33 |
transcript.pyannote[1192].start |
7119.84659375 |
transcript.pyannote[1192].end |
7120.69034375 |
transcript.pyannote[1193].speaker |
SPEAKER_33 |
transcript.pyannote[1193].start |
7121.83784375 |
transcript.pyannote[1193].end |
7127.44034375 |
transcript.pyannote[1194].speaker |
SPEAKER_33 |
transcript.pyannote[1194].start |
7128.70596875 |
transcript.pyannote[1194].end |
7131.27096875 |
transcript.pyannote[1195].speaker |
SPEAKER_33 |
transcript.pyannote[1195].start |
7131.94596875 |
transcript.pyannote[1195].end |
7134.46034375 |
transcript.pyannote[1196].speaker |
SPEAKER_33 |
transcript.pyannote[1196].start |
7135.35471875 |
transcript.pyannote[1196].end |
7137.19409375 |
transcript.pyannote[1197].speaker |
SPEAKER_33 |
transcript.pyannote[1197].start |
7137.58221875 |
transcript.pyannote[1197].end |
7138.25721875 |
transcript.pyannote[1198].speaker |
SPEAKER_33 |
transcript.pyannote[1198].start |
7138.93221875 |
transcript.pyannote[1198].end |
7141.58159375 |
transcript.pyannote[1199].speaker |
SPEAKER_33 |
transcript.pyannote[1199].start |
7142.49284375 |
transcript.pyannote[1199].end |
7146.08721875 |
transcript.pyannote[1200].speaker |
SPEAKER_33 |
transcript.pyannote[1200].start |
7146.62721875 |
transcript.pyannote[1200].end |
7150.55909375 |
transcript.pyannote[1201].speaker |
SPEAKER_33 |
transcript.pyannote[1201].start |
7151.33534375 |
transcript.pyannote[1201].end |
7151.62221875 |
transcript.pyannote[1202].speaker |
SPEAKER_33 |
transcript.pyannote[1202].start |
7152.38159375 |
transcript.pyannote[1202].end |
7159.45221875 |
transcript.pyannote[1203].speaker |
SPEAKER_33 |
transcript.pyannote[1203].start |
7159.92471875 |
transcript.pyannote[1203].end |
7162.43909375 |
transcript.pyannote[1204].speaker |
SPEAKER_33 |
transcript.pyannote[1204].start |
7163.67096875 |
transcript.pyannote[1204].end |
7166.26971875 |
transcript.pyannote[1205].speaker |
SPEAKER_33 |
transcript.pyannote[1205].start |
7168.22721875 |
transcript.pyannote[1205].end |
7168.90221875 |
transcript.pyannote[1206].speaker |
SPEAKER_33 |
transcript.pyannote[1206].start |
7169.27346875 |
transcript.pyannote[1206].end |
7169.94846875 |
transcript.pyannote[1207].speaker |
SPEAKER_33 |
transcript.pyannote[1207].start |
7170.72471875 |
transcript.pyannote[1207].end |
7171.41659375 |
transcript.pyannote[1208].speaker |
SPEAKER_33 |
transcript.pyannote[1208].start |
7172.44596875 |
transcript.pyannote[1208].end |
7173.20534375 |
transcript.pyannote[1209].speaker |
SPEAKER_33 |
transcript.pyannote[1209].start |
7173.99846875 |
transcript.pyannote[1209].end |
7175.16284375 |
transcript.pyannote[1210].speaker |
SPEAKER_33 |
transcript.pyannote[1210].start |
7175.87159375 |
transcript.pyannote[1210].end |
7178.95971875 |
transcript.pyannote[1211].speaker |
SPEAKER_33 |
transcript.pyannote[1211].start |
7178.97659375 |
transcript.pyannote[1211].end |
7178.99346875 |
transcript.pyannote[1212].speaker |
SPEAKER_33 |
transcript.pyannote[1212].start |
7179.24659375 |
transcript.pyannote[1212].end |
7180.09034375 |
transcript.pyannote[1213].speaker |
SPEAKER_33 |
transcript.pyannote[1213].start |
7180.96784375 |
transcript.pyannote[1213].end |
7184.35971875 |
transcript.pyannote[1214].speaker |
SPEAKER_33 |
transcript.pyannote[1214].start |
7184.47784375 |
transcript.pyannote[1214].end |
7187.11034375 |
transcript.pyannote[1215].speaker |
SPEAKER_33 |
transcript.pyannote[1215].start |
7187.65034375 |
transcript.pyannote[1215].end |
7188.89909375 |
transcript.pyannote[1216].speaker |
SPEAKER_33 |
transcript.pyannote[1216].start |
7189.96221875 |
transcript.pyannote[1216].end |
7190.94096875 |
transcript.pyannote[1217].speaker |
SPEAKER_33 |
transcript.pyannote[1217].start |
7191.49784375 |
transcript.pyannote[1217].end |
7191.76784375 |
transcript.pyannote[1218].speaker |
SPEAKER_33 |
transcript.pyannote[1218].start |
7192.24034375 |
transcript.pyannote[1218].end |
7194.87284375 |
transcript.pyannote[1219].speaker |
SPEAKER_33 |
transcript.pyannote[1219].start |
7196.98221875 |
transcript.pyannote[1219].end |
7198.50096875 |
transcript.pyannote[1220].speaker |
SPEAKER_33 |
transcript.pyannote[1220].start |
7199.78346875 |
transcript.pyannote[1220].end |
7200.76221875 |
transcript.pyannote[1221].speaker |
SPEAKER_33 |
transcript.pyannote[1221].start |
7201.35284375 |
transcript.pyannote[1221].end |
7203.59721875 |
transcript.pyannote[1222].speaker |
SPEAKER_33 |
transcript.pyannote[1222].start |
7205.13284375 |
transcript.pyannote[1222].end |
7205.67284375 |
transcript.pyannote[1223].speaker |
SPEAKER_33 |
transcript.pyannote[1223].start |
7206.49971875 |
transcript.pyannote[1223].end |
7207.41096875 |
transcript.pyannote[1224].speaker |
SPEAKER_33 |
transcript.pyannote[1224].start |
7209.38534375 |
transcript.pyannote[1224].end |
7210.70159375 |
transcript.pyannote[1225].speaker |
SPEAKER_33 |
transcript.pyannote[1225].start |
7210.85346875 |
transcript.pyannote[1225].end |
7212.37221875 |
transcript.pyannote[1226].speaker |
SPEAKER_33 |
transcript.pyannote[1226].start |
7212.62534375 |
transcript.pyannote[1226].end |
7213.33409375 |
transcript.pyannote[1227].speaker |
SPEAKER_33 |
transcript.pyannote[1227].start |
7214.68409375 |
transcript.pyannote[1227].end |
7215.86534375 |
transcript.pyannote[1228].speaker |
SPEAKER_33 |
transcript.pyannote[1228].start |
7216.16909375 |
transcript.pyannote[1228].end |
7216.75971875 |
transcript.pyannote[1229].speaker |
SPEAKER_33 |
transcript.pyannote[1229].start |
7218.14346875 |
transcript.pyannote[1229].end |
7218.41346875 |
transcript.pyannote[1230].speaker |
SPEAKER_33 |
transcript.pyannote[1230].start |
7218.59909375 |
transcript.pyannote[1230].end |
7219.07159375 |
transcript.pyannote[1231].speaker |
SPEAKER_33 |
transcript.pyannote[1231].start |
7219.79721875 |
transcript.pyannote[1231].end |
7220.35409375 |
transcript.pyannote[1232].speaker |
SPEAKER_33 |
transcript.pyannote[1232].start |
7222.75034375 |
transcript.pyannote[1232].end |
7223.03721875 |
transcript.pyannote[1233].speaker |
SPEAKER_33 |
transcript.pyannote[1233].start |
7223.61096875 |
transcript.pyannote[1233].end |
7226.42909375 |
transcript.pyannote[1234].speaker |
SPEAKER_33 |
transcript.pyannote[1234].start |
7226.73284375 |
transcript.pyannote[1234].end |
7227.79596875 |
transcript.pyannote[1235].speaker |
SPEAKER_33 |
transcript.pyannote[1235].start |
7228.94346875 |
transcript.pyannote[1235].end |
7229.21346875 |
transcript.pyannote[1236].speaker |
SPEAKER_33 |
transcript.pyannote[1236].start |
7230.81659375 |
transcript.pyannote[1236].end |
7232.52096875 |
transcript.pyannote[1237].speaker |
SPEAKER_33 |
transcript.pyannote[1237].start |
7232.65596875 |
transcript.pyannote[1237].end |
7234.47846875 |
transcript.pyannote[1238].speaker |
SPEAKER_33 |
transcript.pyannote[1238].start |
7234.76534375 |
transcript.pyannote[1238].end |
7234.91721875 |
transcript.pyannote[1239].speaker |
SPEAKER_33 |
transcript.pyannote[1239].start |
7236.63846875 |
transcript.pyannote[1239].end |
7241.39721875 |
transcript.pyannote[1240].speaker |
SPEAKER_33 |
transcript.pyannote[1240].start |
7241.90346875 |
transcript.pyannote[1240].end |
7243.43909375 |
transcript.pyannote[1241].speaker |
SPEAKER_33 |
transcript.pyannote[1241].start |
7243.75971875 |
transcript.pyannote[1241].end |
7244.24909375 |
transcript.pyannote[1242].speaker |
SPEAKER_33 |
transcript.pyannote[1242].start |
7244.94096875 |
transcript.pyannote[1242].end |
7245.31221875 |
transcript.pyannote[1243].speaker |
SPEAKER_33 |
transcript.pyannote[1243].start |
7245.81846875 |
transcript.pyannote[1243].end |
7248.78846875 |
transcript.pyannote[1244].speaker |
SPEAKER_33 |
transcript.pyannote[1244].start |
7248.90659375 |
transcript.pyannote[1244].end |
7250.30721875 |
transcript.pyannote[1245].speaker |
SPEAKER_33 |
transcript.pyannote[1245].start |
7251.16784375 |
transcript.pyannote[1245].end |
7251.94409375 |
transcript.pyannote[1246].speaker |
SPEAKER_33 |
transcript.pyannote[1246].start |
7252.65284375 |
transcript.pyannote[1246].end |
7253.54721875 |
transcript.pyannote[1247].speaker |
SPEAKER_33 |
transcript.pyannote[1247].start |
7254.22221875 |
transcript.pyannote[1247].end |
7254.49221875 |
transcript.pyannote[1248].speaker |
SPEAKER_33 |
transcript.pyannote[1248].start |
7256.12909375 |
transcript.pyannote[1248].end |
7258.00221875 |
transcript.pyannote[1249].speaker |
SPEAKER_33 |
transcript.pyannote[1249].start |
7258.39034375 |
transcript.pyannote[1249].end |
7260.61784375 |
transcript.pyannote[1250].speaker |
SPEAKER_33 |
transcript.pyannote[1250].start |
7260.97221875 |
transcript.pyannote[1250].end |
7261.22534375 |
transcript.pyannote[1251].speaker |
SPEAKER_33 |
transcript.pyannote[1251].start |
7262.69346875 |
transcript.pyannote[1251].end |
7266.25409375 |
transcript.pyannote[1252].speaker |
SPEAKER_33 |
transcript.pyannote[1252].start |
7266.52409375 |
transcript.pyannote[1252].end |
7269.02159375 |
transcript.pyannote[1253].speaker |
SPEAKER_33 |
transcript.pyannote[1253].start |
7270.48971875 |
transcript.pyannote[1253].end |
7270.97909375 |
transcript.pyannote[1254].speaker |
SPEAKER_33 |
transcript.pyannote[1254].start |
7271.31659375 |
transcript.pyannote[1254].end |
7272.36284375 |
transcript.pyannote[1255].speaker |
SPEAKER_33 |
transcript.pyannote[1255].start |
7272.68346875 |
transcript.pyannote[1255].end |
7274.47221875 |
transcript.pyannote[1256].speaker |
SPEAKER_33 |
transcript.pyannote[1256].start |
7275.18096875 |
transcript.pyannote[1256].end |
7278.08346875 |
transcript.pyannote[1257].speaker |
SPEAKER_33 |
transcript.pyannote[1257].start |
7278.82596875 |
transcript.pyannote[1257].end |
7280.39534375 |
transcript.pyannote[1258].speaker |
SPEAKER_33 |
transcript.pyannote[1258].start |
7280.49659375 |
transcript.pyannote[1258].end |
7283.46659375 |
transcript.pyannote[1259].speaker |
SPEAKER_33 |
transcript.pyannote[1259].start |
7283.56784375 |
transcript.pyannote[1259].end |
7286.72346875 |
transcript.pyannote[1260].speaker |
SPEAKER_33 |
transcript.pyannote[1260].start |
7287.53346875 |
transcript.pyannote[1260].end |
7290.16596875 |
transcript.pyannote[1261].speaker |
SPEAKER_33 |
transcript.pyannote[1261].start |
7291.29659375 |
transcript.pyannote[1261].end |
7294.95846875 |
transcript.pyannote[1262].speaker |
SPEAKER_33 |
transcript.pyannote[1262].start |
7295.44784375 |
transcript.pyannote[1262].end |
7299.00846875 |
transcript.pyannote[1263].speaker |
SPEAKER_33 |
transcript.pyannote[1263].start |
7299.29534375 |
transcript.pyannote[1263].end |
7300.35846875 |
transcript.pyannote[1264].speaker |
SPEAKER_33 |
transcript.pyannote[1264].start |
7301.03346875 |
transcript.pyannote[1264].end |
7303.02471875 |
transcript.pyannote[1265].speaker |
SPEAKER_33 |
transcript.pyannote[1265].start |
7304.00346875 |
transcript.pyannote[1265].end |
7304.29034375 |
transcript.pyannote[1266].speaker |
SPEAKER_33 |
transcript.pyannote[1266].start |
7304.67846875 |
transcript.pyannote[1266].end |
7305.15096875 |
transcript.pyannote[1267].speaker |
SPEAKER_33 |
transcript.pyannote[1267].start |
7306.34909375 |
transcript.pyannote[1267].end |
7307.17596875 |
transcript.pyannote[1268].speaker |
SPEAKER_33 |
transcript.pyannote[1268].start |
7307.51346875 |
transcript.pyannote[1268].end |
7310.16284375 |
transcript.pyannote[1269].speaker |
SPEAKER_33 |
transcript.pyannote[1269].start |
7310.88846875 |
transcript.pyannote[1269].end |
7311.12471875 |
transcript.pyannote[1270].speaker |
SPEAKER_33 |
transcript.pyannote[1270].start |
7311.34409375 |
transcript.pyannote[1270].end |
7312.40721875 |
transcript.pyannote[1271].speaker |
SPEAKER_33 |
transcript.pyannote[1271].start |
7312.50846875 |
transcript.pyannote[1271].end |
7313.25096875 |
transcript.pyannote[1272].speaker |
SPEAKER_33 |
transcript.pyannote[1272].start |
7314.34784375 |
transcript.pyannote[1272].end |
7315.17471875 |
transcript.pyannote[1273].speaker |
SPEAKER_33 |
transcript.pyannote[1273].start |
7316.10284375 |
transcript.pyannote[1273].end |
7316.38971875 |
transcript.pyannote[1274].speaker |
SPEAKER_33 |
transcript.pyannote[1274].start |
7317.90846875 |
transcript.pyannote[1274].end |
7318.81971875 |
transcript.pyannote[1275].speaker |
SPEAKER_33 |
transcript.pyannote[1275].start |
7319.02221875 |
transcript.pyannote[1275].end |
7320.11909375 |
transcript.pyannote[1276].speaker |
SPEAKER_33 |
transcript.pyannote[1276].start |
7320.23721875 |
transcript.pyannote[1276].end |
7322.27909375 |
transcript.pyannote[1277].speaker |
SPEAKER_33 |
transcript.pyannote[1277].start |
7324.01721875 |
transcript.pyannote[1277].end |
7325.09721875 |
transcript.pyannote[1278].speaker |
SPEAKER_33 |
transcript.pyannote[1278].start |
7325.80596875 |
transcript.pyannote[1278].end |
7329.94034375 |
transcript.pyannote[1279].speaker |
SPEAKER_33 |
transcript.pyannote[1279].start |
7330.95284375 |
transcript.pyannote[1279].end |
7332.82596875 |
transcript.pyannote[1280].speaker |
SPEAKER_33 |
transcript.pyannote[1280].start |
7333.70346875 |
transcript.pyannote[1280].end |
7335.39096875 |
transcript.pyannote[1281].speaker |
SPEAKER_33 |
transcript.pyannote[1281].start |
7336.62284375 |
transcript.pyannote[1281].end |
7337.63534375 |
transcript.pyannote[1282].speaker |
SPEAKER_33 |
transcript.pyannote[1282].start |
7338.61409375 |
transcript.pyannote[1282].end |
7339.18784375 |
transcript.pyannote[1283].speaker |
SPEAKER_33 |
transcript.pyannote[1283].start |
7339.87971875 |
transcript.pyannote[1283].end |
7344.28409375 |
transcript.pyannote[1284].speaker |
SPEAKER_33 |
transcript.pyannote[1284].start |
7346.42721875 |
transcript.pyannote[1284].end |
7348.51971875 |
transcript.pyannote[1285].speaker |
SPEAKER_33 |
transcript.pyannote[1285].start |
7348.68846875 |
transcript.pyannote[1285].end |
7350.83159375 |
transcript.pyannote[1286].speaker |
SPEAKER_33 |
transcript.pyannote[1286].start |
7351.35471875 |
transcript.pyannote[1286].end |
7352.38409375 |
transcript.pyannote[1287].speaker |
SPEAKER_33 |
transcript.pyannote[1287].start |
7352.73846875 |
transcript.pyannote[1287].end |
7354.17284375 |
transcript.pyannote[1288].speaker |
SPEAKER_33 |
transcript.pyannote[1288].start |
7354.83096875 |
transcript.pyannote[1288].end |
7356.07971875 |
transcript.pyannote[1289].speaker |
SPEAKER_33 |
transcript.pyannote[1289].start |
7356.60284375 |
transcript.pyannote[1289].end |
7357.07534375 |
transcript.pyannote[1290].speaker |
SPEAKER_33 |
transcript.pyannote[1290].start |
7357.31159375 |
transcript.pyannote[1290].end |
7359.35346875 |
transcript.pyannote[1291].speaker |
SPEAKER_33 |
transcript.pyannote[1291].start |
7360.36596875 |
transcript.pyannote[1291].end |
7362.44159375 |
transcript.pyannote[1292].speaker |
SPEAKER_33 |
transcript.pyannote[1292].start |
7364.98971875 |
transcript.pyannote[1292].end |
7365.32721875 |
transcript.pyannote[1293].speaker |
SPEAKER_33 |
transcript.pyannote[1293].start |
7365.96846875 |
transcript.pyannote[1293].end |
7367.43659375 |
transcript.pyannote[1294].speaker |
SPEAKER_33 |
transcript.pyannote[1294].start |
7367.68971875 |
transcript.pyannote[1294].end |
7368.55034375 |
transcript.pyannote[1295].speaker |
SPEAKER_33 |
transcript.pyannote[1295].start |
7369.37721875 |
transcript.pyannote[1295].end |
7370.50784375 |
transcript.pyannote[1296].speaker |
SPEAKER_33 |
transcript.pyannote[1296].start |
7371.72284375 |
transcript.pyannote[1296].end |
7372.44846875 |
transcript.pyannote[1297].speaker |
SPEAKER_33 |
transcript.pyannote[1297].start |
7373.03909375 |
transcript.pyannote[1297].end |
7377.46034375 |
transcript.pyannote[1298].speaker |
SPEAKER_33 |
transcript.pyannote[1298].start |
7377.81471875 |
transcript.pyannote[1298].end |
7380.05909375 |
transcript.pyannote[1299].speaker |
SPEAKER_33 |
transcript.pyannote[1299].start |
7380.36284375 |
transcript.pyannote[1299].end |
7381.39221875 |
transcript.pyannote[1300].speaker |
SPEAKER_33 |
transcript.pyannote[1300].start |
7382.40471875 |
transcript.pyannote[1300].end |
7383.40034375 |
transcript.pyannote[1301].speaker |
SPEAKER_33 |
transcript.pyannote[1301].start |
7384.76721875 |
transcript.pyannote[1301].end |
7385.77971875 |
transcript.pyannote[1302].speaker |
SPEAKER_33 |
transcript.pyannote[1302].start |
7387.02846875 |
transcript.pyannote[1302].end |
7387.85534375 |
transcript.pyannote[1303].speaker |
SPEAKER_33 |
transcript.pyannote[1303].start |
7388.61471875 |
transcript.pyannote[1303].end |
7389.05346875 |
transcript.pyannote[1304].speaker |
SPEAKER_33 |
transcript.pyannote[1304].start |
7389.79596875 |
transcript.pyannote[1304].end |
7390.30221875 |
transcript.pyannote[1305].speaker |
SPEAKER_33 |
transcript.pyannote[1305].start |
7390.90971875 |
transcript.pyannote[1305].end |
7391.58471875 |
transcript.pyannote[1306].speaker |
SPEAKER_33 |
transcript.pyannote[1306].start |
7391.95596875 |
transcript.pyannote[1306].end |
7392.64784375 |
transcript.pyannote[1307].speaker |
SPEAKER_33 |
transcript.pyannote[1307].start |
7394.92596875 |
transcript.pyannote[1307].end |
7396.03971875 |
transcript.pyannote[1308].speaker |
SPEAKER_33 |
transcript.pyannote[1308].start |
7397.28846875 |
transcript.pyannote[1308].end |
7399.26284375 |
transcript.pyannote[1309].speaker |
SPEAKER_33 |
transcript.pyannote[1309].start |
7399.44846875 |
transcript.pyannote[1309].end |
7400.62971875 |
transcript.pyannote[1310].speaker |
SPEAKER_33 |
transcript.pyannote[1310].start |
7401.22034375 |
transcript.pyannote[1310].end |
7403.24534375 |
transcript.pyannote[1311].speaker |
SPEAKER_33 |
transcript.pyannote[1311].start |
7403.95409375 |
transcript.pyannote[1311].end |
7404.20721875 |
transcript.pyannote[1312].speaker |
SPEAKER_33 |
transcript.pyannote[1312].start |
7404.69659375 |
transcript.pyannote[1312].end |
7406.75534375 |
transcript.pyannote[1313].speaker |
SPEAKER_33 |
transcript.pyannote[1313].start |
7408.35846875 |
transcript.pyannote[1313].end |
7408.93221875 |
transcript.pyannote[1314].speaker |
SPEAKER_33 |
transcript.pyannote[1314].start |
7410.61971875 |
transcript.pyannote[1314].end |
7410.94034375 |
transcript.pyannote[1315].speaker |
SPEAKER_33 |
transcript.pyannote[1315].start |
7411.10909375 |
transcript.pyannote[1315].end |
7415.42909375 |
transcript.pyannote[1316].speaker |
SPEAKER_33 |
transcript.pyannote[1316].start |
7415.98596875 |
transcript.pyannote[1316].end |
7416.86346875 |
transcript.pyannote[1317].speaker |
SPEAKER_33 |
transcript.pyannote[1317].start |
7417.28534375 |
transcript.pyannote[1317].end |
7418.50034375 |
transcript.pyannote[1318].speaker |
SPEAKER_33 |
transcript.pyannote[1318].start |
7420.84596875 |
transcript.pyannote[1318].end |
7421.53784375 |
transcript.pyannote[1319].speaker |
SPEAKER_33 |
transcript.pyannote[1319].start |
7421.67284375 |
transcript.pyannote[1319].end |
7424.49096875 |
transcript.pyannote[1320].speaker |
SPEAKER_33 |
transcript.pyannote[1320].start |
7424.69346875 |
transcript.pyannote[1320].end |
7425.46971875 |
transcript.pyannote[1321].speaker |
SPEAKER_33 |
transcript.pyannote[1321].start |
7427.07284375 |
transcript.pyannote[1321].end |
7427.29221875 |
transcript.pyannote[1322].speaker |
SPEAKER_33 |
transcript.pyannote[1322].start |
7427.56221875 |
transcript.pyannote[1322].end |
7430.26221875 |
transcript.pyannote[1323].speaker |
SPEAKER_33 |
transcript.pyannote[1323].start |
7431.25784375 |
transcript.pyannote[1323].end |
7433.04659375 |
transcript.pyannote[1324].speaker |
SPEAKER_33 |
transcript.pyannote[1324].start |
7434.10971875 |
transcript.pyannote[1324].end |
7434.53159375 |
transcript.pyannote[1325].speaker |
SPEAKER_33 |
transcript.pyannote[1325].start |
7435.56096875 |
transcript.pyannote[1325].end |
7437.04596875 |
transcript.pyannote[1326].speaker |
SPEAKER_33 |
transcript.pyannote[1326].start |
7438.54784375 |
transcript.pyannote[1326].end |
7439.61096875 |
transcript.pyannote[1327].speaker |
SPEAKER_33 |
transcript.pyannote[1327].start |
7440.11721875 |
transcript.pyannote[1327].end |
7440.75846875 |
transcript.pyannote[1328].speaker |
SPEAKER_33 |
transcript.pyannote[1328].start |
7441.48409375 |
transcript.pyannote[1328].end |
7441.75409375 |
transcript.pyannote[1329].speaker |
SPEAKER_33 |
transcript.pyannote[1329].start |
7441.92284375 |
transcript.pyannote[1329].end |
7443.57659375 |
transcript.pyannote[1330].speaker |
SPEAKER_33 |
transcript.pyannote[1330].start |
7444.43721875 |
transcript.pyannote[1330].end |
7444.80846875 |
transcript.pyannote[1331].speaker |
SPEAKER_33 |
transcript.pyannote[1331].start |
7445.02784375 |
transcript.pyannote[1331].end |
7445.53409375 |
transcript.pyannote[1332].speaker |
SPEAKER_33 |
transcript.pyannote[1332].start |
7446.51284375 |
transcript.pyannote[1332].end |
7448.52096875 |
transcript.pyannote[1333].speaker |
SPEAKER_33 |
transcript.pyannote[1333].start |
7448.70659375 |
transcript.pyannote[1333].end |
7449.85409375 |
transcript.pyannote[1334].speaker |
SPEAKER_33 |
transcript.pyannote[1334].start |
7450.12409375 |
transcript.pyannote[1334].end |
7451.18721875 |
transcript.pyannote[1335].speaker |
SPEAKER_33 |
transcript.pyannote[1335].start |
7452.48659375 |
transcript.pyannote[1335].end |
7454.10659375 |
transcript.pyannote[1336].speaker |
SPEAKER_33 |
transcript.pyannote[1336].start |
7454.59596875 |
transcript.pyannote[1336].end |
7455.89534375 |
transcript.pyannote[1337].speaker |
SPEAKER_33 |
transcript.pyannote[1337].start |
7456.11471875 |
transcript.pyannote[1337].end |
7458.56159375 |
transcript.pyannote[1338].speaker |
SPEAKER_33 |
transcript.pyannote[1338].start |
7459.30409375 |
transcript.pyannote[1338].end |
7461.59909375 |
transcript.pyannote[1339].speaker |
SPEAKER_33 |
transcript.pyannote[1339].start |
7463.11784375 |
transcript.pyannote[1339].end |
7466.77971875 |
transcript.pyannote[1340].speaker |
SPEAKER_33 |
transcript.pyannote[1340].start |
7468.77096875 |
transcript.pyannote[1340].end |
7470.45846875 |
transcript.pyannote[1341].speaker |
SPEAKER_33 |
transcript.pyannote[1341].start |
7471.03221875 |
transcript.pyannote[1341].end |
7471.35284375 |
transcript.pyannote[1342].speaker |
SPEAKER_33 |
transcript.pyannote[1342].start |
7472.17971875 |
transcript.pyannote[1342].end |
7474.15409375 |
transcript.pyannote[1343].speaker |
SPEAKER_33 |
transcript.pyannote[1343].start |
7474.93034375 |
transcript.pyannote[1343].end |
7476.49971875 |
transcript.pyannote[1344].speaker |
SPEAKER_33 |
transcript.pyannote[1344].start |
7478.03534375 |
transcript.pyannote[1344].end |
7479.11534375 |
transcript.pyannote[1345].speaker |
SPEAKER_33 |
transcript.pyannote[1345].start |
7480.61721875 |
transcript.pyannote[1345].end |
7480.85346875 |
transcript.pyannote[1346].speaker |
SPEAKER_33 |
transcript.pyannote[1346].start |
7481.07284375 |
transcript.pyannote[1346].end |
7482.59159375 |
transcript.pyannote[1347].speaker |
SPEAKER_33 |
transcript.pyannote[1347].start |
7483.75596875 |
transcript.pyannote[1347].end |
7485.37596875 |
transcript.pyannote[1348].speaker |
SPEAKER_33 |
transcript.pyannote[1348].start |
7487.26596875 |
transcript.pyannote[1348].end |
7488.68346875 |
transcript.pyannote[1349].speaker |
SPEAKER_33 |
transcript.pyannote[1349].start |
7490.67471875 |
transcript.pyannote[1349].end |
7491.02909375 |
transcript.pyannote[1350].speaker |
SPEAKER_33 |
transcript.pyannote[1350].start |
7491.48471875 |
transcript.pyannote[1350].end |
7492.75034375 |
transcript.pyannote[1351].speaker |
SPEAKER_33 |
transcript.pyannote[1351].start |
7493.05409375 |
transcript.pyannote[1351].end |
7495.45034375 |
transcript.pyannote[1352].speaker |
SPEAKER_33 |
transcript.pyannote[1352].start |
7495.56846875 |
transcript.pyannote[1352].end |
7498.42034375 |
transcript.pyannote[1353].speaker |
SPEAKER_33 |
transcript.pyannote[1353].start |
7499.36534375 |
transcript.pyannote[1353].end |
7500.19221875 |
transcript.pyannote[1354].speaker |
SPEAKER_33 |
transcript.pyannote[1354].start |
7500.76596875 |
transcript.pyannote[1354].end |
7501.74471875 |
transcript.pyannote[1355].speaker |
SPEAKER_33 |
transcript.pyannote[1355].start |
7503.87096875 |
transcript.pyannote[1355].end |
7504.30971875 |
transcript.pyannote[1356].speaker |
SPEAKER_33 |
transcript.pyannote[1356].start |
7505.13659375 |
transcript.pyannote[1356].end |
7506.09846875 |
transcript.pyannote[1357].speaker |
SPEAKER_33 |
transcript.pyannote[1357].start |
7506.31784375 |
transcript.pyannote[1357].end |
7506.95909375 |
transcript.pyannote[1358].speaker |
SPEAKER_33 |
transcript.pyannote[1358].start |
7507.22909375 |
transcript.pyannote[1358].end |
7508.14034375 |
transcript.pyannote[1359].speaker |
SPEAKER_33 |
transcript.pyannote[1359].start |
7508.71409375 |
transcript.pyannote[1359].end |
7510.55346875 |
transcript.pyannote[1360].speaker |
SPEAKER_33 |
transcript.pyannote[1360].start |
7510.94159375 |
transcript.pyannote[1360].end |
7511.39721875 |
transcript.pyannote[1361].speaker |
SPEAKER_20 |
transcript.pyannote[1361].start |
7512.02159375 |
transcript.pyannote[1361].end |
7512.30846875 |
transcript.pyannote[1362].speaker |
SPEAKER_20 |
transcript.pyannote[1362].start |
7513.05096875 |
transcript.pyannote[1362].end |
7516.49346875 |
transcript.pyannote[1363].speaker |
SPEAKER_20 |
transcript.pyannote[1363].start |
7516.72971875 |
transcript.pyannote[1363].end |
7518.73784375 |
transcript.pyannote[1364].speaker |
SPEAKER_20 |
transcript.pyannote[1364].start |
7519.27784375 |
transcript.pyannote[1364].end |
7529.84159375 |
transcript.pyannote[1365].speaker |
SPEAKER_33 |
transcript.pyannote[1365].start |
7529.89221875 |
transcript.pyannote[1365].end |
7530.55034375 |
transcript.pyannote[1366].speaker |
SPEAKER_33 |
transcript.pyannote[1366].start |
7530.98909375 |
transcript.pyannote[1366].end |
7532.65971875 |
transcript.pyannote[1367].speaker |
SPEAKER_33 |
transcript.pyannote[1367].start |
7534.02659375 |
transcript.pyannote[1367].end |
7536.42284375 |
transcript.pyannote[1368].speaker |
SPEAKER_33 |
transcript.pyannote[1368].start |
7537.51971875 |
transcript.pyannote[1368].end |
7541.23221875 |
transcript.pyannote[1369].speaker |
SPEAKER_33 |
transcript.pyannote[1369].start |
7541.51909375 |
transcript.pyannote[1369].end |
7542.59909375 |
transcript.pyannote[1370].speaker |
SPEAKER_33 |
transcript.pyannote[1370].start |
7543.37534375 |
transcript.pyannote[1370].end |
7547.39159375 |
transcript.pyannote[1371].speaker |
SPEAKER_33 |
transcript.pyannote[1371].start |
7548.45471875 |
transcript.pyannote[1371].end |
7552.75784375 |
transcript.pyannote[1372].speaker |
SPEAKER_33 |
transcript.pyannote[1372].start |
7553.56784375 |
transcript.pyannote[1372].end |
7554.58034375 |
transcript.pyannote[1373].speaker |
SPEAKER_33 |
transcript.pyannote[1373].start |
7554.86721875 |
transcript.pyannote[1373].end |
7559.82846875 |
transcript.pyannote[1374].speaker |
SPEAKER_20 |
transcript.pyannote[1374].start |
7559.40659375 |
transcript.pyannote[1374].end |
7561.83659375 |
transcript.pyannote[1375].speaker |
SPEAKER_33 |
transcript.pyannote[1375].start |
7560.92534375 |
transcript.pyannote[1375].end |
7562.22471875 |
transcript.pyannote[1376].speaker |
SPEAKER_33 |
transcript.pyannote[1376].start |
7564.11471875 |
transcript.pyannote[1376].end |
7565.61659375 |
transcript.pyannote[1377].speaker |
SPEAKER_33 |
transcript.pyannote[1377].start |
7566.19034375 |
transcript.pyannote[1377].end |
7567.15221875 |
transcript.pyannote[1378].speaker |
SPEAKER_33 |
transcript.pyannote[1378].start |
7568.01284375 |
transcript.pyannote[1378].end |
7570.10534375 |
transcript.pyannote[1379].speaker |
SPEAKER_33 |
transcript.pyannote[1379].start |
7570.89846875 |
transcript.pyannote[1379].end |
7571.45534375 |
transcript.pyannote[1380].speaker |
SPEAKER_33 |
transcript.pyannote[1380].start |
7571.72534375 |
transcript.pyannote[1380].end |
7573.02471875 |
transcript.pyannote[1381].speaker |
SPEAKER_33 |
transcript.pyannote[1381].start |
7574.49284375 |
transcript.pyannote[1381].end |
7575.35346875 |
transcript.pyannote[1382].speaker |
SPEAKER_33 |
transcript.pyannote[1382].start |
7577.58096875 |
transcript.pyannote[1382].end |
7579.38659375 |
transcript.pyannote[1383].speaker |
SPEAKER_33 |
transcript.pyannote[1383].start |
7579.97721875 |
transcript.pyannote[1383].end |
7581.95159375 |
transcript.pyannote[1384].speaker |
SPEAKER_23 |
transcript.pyannote[1384].start |
7581.63096875 |
transcript.pyannote[1384].end |
7581.93471875 |
transcript.pyannote[1385].speaker |
SPEAKER_23 |
transcript.pyannote[1385].start |
7581.95159375 |
transcript.pyannote[1385].end |
7582.50846875 |
transcript.pyannote[1386].speaker |
SPEAKER_33 |
transcript.pyannote[1386].start |
7582.42409375 |
transcript.pyannote[1386].end |
7591.58721875 |
transcript.pyannote[1387].speaker |
SPEAKER_33 |
transcript.pyannote[1387].start |
7592.16096875 |
transcript.pyannote[1387].end |
7594.52346875 |
transcript.pyannote[1388].speaker |
SPEAKER_33 |
transcript.pyannote[1388].start |
7595.29971875 |
transcript.pyannote[1388].end |
7596.09284375 |
transcript.pyannote[1389].speaker |
SPEAKER_33 |
transcript.pyannote[1389].start |
7596.43034375 |
transcript.pyannote[1389].end |
7596.98721875 |
transcript.pyannote[1390].speaker |
SPEAKER_33 |
transcript.pyannote[1390].start |
7597.18971875 |
transcript.pyannote[1390].end |
7600.53096875 |
transcript.pyannote[1391].speaker |
SPEAKER_33 |
transcript.pyannote[1391].start |
7600.73346875 |
transcript.pyannote[1391].end |
7601.30721875 |
transcript.pyannote[1392].speaker |
SPEAKER_33 |
transcript.pyannote[1392].start |
7602.04971875 |
transcript.pyannote[1392].end |
7610.45346875 |
transcript.pyannote[1393].speaker |
SPEAKER_33 |
transcript.pyannote[1393].start |
7610.92596875 |
transcript.pyannote[1393].end |
7613.60909375 |
transcript.pyannote[1394].speaker |
SPEAKER_33 |
transcript.pyannote[1394].start |
7614.03096875 |
transcript.pyannote[1394].end |
7619.78534375 |
transcript.pyannote[1395].speaker |
SPEAKER_33 |
transcript.pyannote[1395].start |
7620.30846875 |
transcript.pyannote[1395].end |
7620.62909375 |
transcript.pyannote[1396].speaker |
SPEAKER_33 |
transcript.pyannote[1396].start |
7621.59096875 |
transcript.pyannote[1396].end |
7622.45159375 |
transcript.pyannote[1397].speaker |
SPEAKER_33 |
transcript.pyannote[1397].start |
7622.83971875 |
transcript.pyannote[1397].end |
7624.74659375 |
transcript.pyannote[1398].speaker |
SPEAKER_33 |
transcript.pyannote[1398].start |
7624.76346875 |
transcript.pyannote[1398].end |
7625.82659375 |
transcript.pyannote[1399].speaker |
SPEAKER_33 |
transcript.pyannote[1399].start |
7625.89409375 |
transcript.pyannote[1399].end |
7626.63659375 |
transcript.pyannote[1400].speaker |
SPEAKER_33 |
transcript.pyannote[1400].start |
7627.00784375 |
transcript.pyannote[1400].end |
7628.50971875 |
transcript.pyannote[1401].speaker |
SPEAKER_30 |
transcript.pyannote[1401].start |
7629.75846875 |
transcript.pyannote[1401].end |
7633.45409375 |
transcript.pyannote[1402].speaker |
SPEAKER_30 |
transcript.pyannote[1402].start |
7633.89284375 |
transcript.pyannote[1402].end |
7635.36096875 |
transcript.pyannote[1403].speaker |
SPEAKER_25 |
transcript.pyannote[1403].start |
7637.95971875 |
transcript.pyannote[1403].end |
7641.36846875 |
transcript.pyannote[1404].speaker |
SPEAKER_25 |
transcript.pyannote[1404].start |
7641.82409375 |
transcript.pyannote[1404].end |
7642.29659375 |
transcript.pyannote[1405].speaker |
SPEAKER_25 |
transcript.pyannote[1405].start |
7645.84034375 |
transcript.pyannote[1405].end |
7648.47284375 |
transcript.pyannote[1406].speaker |
SPEAKER_25 |
transcript.pyannote[1406].start |
7648.50659375 |
transcript.pyannote[1406].end |
7652.21909375 |
transcript.pyannote[1407].speaker |
SPEAKER_28 |
transcript.pyannote[1407].start |
7655.47596875 |
transcript.pyannote[1407].end |
7656.99471875 |
transcript.pyannote[1408].speaker |
SPEAKER_25 |
transcript.pyannote[1408].start |
7658.31096875 |
transcript.pyannote[1408].end |
7659.15471875 |
transcript.pyannote[1409].speaker |
SPEAKER_20 |
transcript.pyannote[1409].start |
7664.08221875 |
transcript.pyannote[1409].end |
7665.12846875 |
transcript.pyannote[1410].speaker |
SPEAKER_28 |
transcript.pyannote[1410].start |
7665.12846875 |
transcript.pyannote[1410].end |
7683.72471875 |
transcript.pyannote[1411].speaker |
SPEAKER_24 |
transcript.pyannote[1411].start |
7684.33221875 |
transcript.pyannote[1411].end |
7685.53034375 |
transcript.pyannote[1412].speaker |
SPEAKER_20 |
transcript.pyannote[1412].start |
7685.53034375 |
transcript.pyannote[1412].end |
7685.54721875 |
transcript.pyannote[1413].speaker |
SPEAKER_28 |
transcript.pyannote[1413].start |
7685.56409375 |
transcript.pyannote[1413].end |
7686.76221875 |
transcript.pyannote[1414].speaker |
SPEAKER_24 |
transcript.pyannote[1414].start |
7686.23909375 |
transcript.pyannote[1414].end |
7686.82971875 |
transcript.pyannote[1415].speaker |
SPEAKER_28 |
transcript.pyannote[1415].start |
7686.82971875 |
transcript.pyannote[1415].end |
7686.84659375 |
transcript.pyannote[1416].speaker |
SPEAKER_24 |
transcript.pyannote[1416].start |
7686.84659375 |
transcript.pyannote[1416].end |
7686.86346875 |
transcript.pyannote[1417].speaker |
SPEAKER_28 |
transcript.pyannote[1417].start |
7686.86346875 |
transcript.pyannote[1417].end |
7691.53784375 |
transcript.pyannote[1418].speaker |
SPEAKER_20 |
transcript.pyannote[1418].start |
7691.79096875 |
transcript.pyannote[1418].end |
7695.70596875 |
transcript.pyannote[1419].speaker |
SPEAKER_28 |
transcript.pyannote[1419].start |
7695.70596875 |
transcript.pyannote[1419].end |
7698.92909375 |
transcript.pyannote[1420].speaker |
SPEAKER_20 |
transcript.pyannote[1420].start |
7699.90784375 |
transcript.pyannote[1420].end |
7708.14284375 |
transcript.pyannote[1421].speaker |
SPEAKER_20 |
transcript.pyannote[1421].start |
7708.54784375 |
transcript.pyannote[1421].end |
7716.76596875 |
transcript.pyannote[1422].speaker |
SPEAKER_28 |
transcript.pyannote[1422].start |
7716.76596875 |
transcript.pyannote[1422].end |
7723.12784375 |
transcript.pyannote[1423].speaker |
SPEAKER_20 |
transcript.pyannote[1423].start |
7723.76909375 |
transcript.pyannote[1423].end |
7725.03471875 |
transcript.pyannote[1424].speaker |
SPEAKER_28 |
transcript.pyannote[1424].start |
7724.46096875 |
transcript.pyannote[1424].end |
7726.04721875 |
transcript.pyannote[1425].speaker |
SPEAKER_20 |
transcript.pyannote[1425].start |
7725.76034375 |
transcript.pyannote[1425].end |
7726.18221875 |
transcript.pyannote[1426].speaker |
SPEAKER_28 |
transcript.pyannote[1426].start |
7726.18221875 |
transcript.pyannote[1426].end |
7776.03096875 |
transcript.pyannote[1427].speaker |
SPEAKER_20 |
transcript.pyannote[1427].start |
7776.77346875 |
transcript.pyannote[1427].end |
7778.07284375 |
transcript.pyannote[1428].speaker |
SPEAKER_13 |
transcript.pyannote[1428].start |
7779.00096875 |
transcript.pyannote[1428].end |
7784.75534375 |
transcript.pyannote[1429].speaker |
SPEAKER_28 |
transcript.pyannote[1429].start |
7785.09284375 |
transcript.pyannote[1429].end |
7793.53034375 |
transcript.pyannote[1430].speaker |
SPEAKER_28 |
transcript.pyannote[1430].start |
7794.12096875 |
transcript.pyannote[1430].end |
7800.71909375 |
transcript.pyannote[1431].speaker |
SPEAKER_28 |
transcript.pyannote[1431].start |
7801.73159375 |
transcript.pyannote[1431].end |
7824.20909375 |
transcript.pyannote[1432].speaker |
SPEAKER_28 |
transcript.pyannote[1432].start |
7824.52971875 |
transcript.pyannote[1432].end |
7825.60971875 |
transcript.pyannote[1433].speaker |
SPEAKER_28 |
transcript.pyannote[1433].start |
7826.23409375 |
transcript.pyannote[1433].end |
7829.60909375 |
transcript.pyannote[1434].speaker |
SPEAKER_28 |
transcript.pyannote[1434].start |
7829.74409375 |
transcript.pyannote[1434].end |
7877.85471875 |
transcript.pyannote[1435].speaker |
SPEAKER_20 |
transcript.pyannote[1435].start |
7877.77034375 |
transcript.pyannote[1435].end |
7879.87971875 |
transcript.pyannote[1436].speaker |
SPEAKER_28 |
transcript.pyannote[1436].start |
7879.81221875 |
transcript.pyannote[1436].end |
7879.86284375 |
transcript.pyannote[1437].speaker |
SPEAKER_28 |
transcript.pyannote[1437].start |
7879.87971875 |
transcript.pyannote[1437].end |
7880.68971875 |
transcript.pyannote[1438].speaker |
SPEAKER_20 |
transcript.pyannote[1438].start |
7880.68971875 |
transcript.pyannote[1438].end |
7882.68096875 |
transcript.pyannote[1439].speaker |
SPEAKER_28 |
transcript.pyannote[1439].start |
7880.90909375 |
transcript.pyannote[1439].end |
7885.76909375 |
transcript.pyannote[1440].speaker |
SPEAKER_20 |
transcript.pyannote[1440].start |
7885.29659375 |
transcript.pyannote[1440].end |
7888.09784375 |
transcript.pyannote[1441].speaker |
SPEAKER_28 |
transcript.pyannote[1441].start |
7887.35534375 |
transcript.pyannote[1441].end |
7898.93159375 |
transcript.pyannote[1442].speaker |
SPEAKER_28 |
transcript.pyannote[1442].start |
7900.01159375 |
transcript.pyannote[1442].end |
7911.21659375 |
transcript.pyannote[1443].speaker |
SPEAKER_28 |
transcript.pyannote[1443].start |
7911.38534375 |
transcript.pyannote[1443].end |
7915.94159375 |
transcript.pyannote[1444].speaker |
SPEAKER_20 |
transcript.pyannote[1444].start |
7915.94159375 |
transcript.pyannote[1444].end |
7917.00471875 |
transcript.pyannote[1445].speaker |
SPEAKER_28 |
transcript.pyannote[1445].start |
7917.05534375 |
transcript.pyannote[1445].end |
7917.84846875 |
transcript.pyannote[1446].speaker |
SPEAKER_20 |
transcript.pyannote[1446].start |
7917.64596875 |
transcript.pyannote[1446].end |
7918.55721875 |
transcript.pyannote[1447].speaker |
SPEAKER_28 |
transcript.pyannote[1447].start |
7918.06784375 |
transcript.pyannote[1447].end |
7922.25284375 |
transcript.pyannote[1448].speaker |
SPEAKER_20 |
transcript.pyannote[1448].start |
7920.22784375 |
transcript.pyannote[1448].end |
7922.84346875 |
transcript.pyannote[1449].speaker |
SPEAKER_28 |
transcript.pyannote[1449].start |
7922.60721875 |
transcript.pyannote[1449].end |
7929.23909375 |
transcript.pyannote[1450].speaker |
SPEAKER_20 |
transcript.pyannote[1450].start |
7928.74971875 |
transcript.pyannote[1450].end |
7930.84221875 |
transcript.pyannote[1451].speaker |
SPEAKER_28 |
transcript.pyannote[1451].start |
7929.89721875 |
transcript.pyannote[1451].end |
7930.72409375 |
transcript.pyannote[1452].speaker |
SPEAKER_28 |
transcript.pyannote[1452].start |
7930.84221875 |
transcript.pyannote[1452].end |
7930.85909375 |
transcript.pyannote[1453].speaker |
SPEAKER_28 |
transcript.pyannote[1453].start |
7931.31471875 |
transcript.pyannote[1453].end |
7952.99909375 |
transcript.pyannote[1454].speaker |
SPEAKER_00 |
transcript.pyannote[1454].start |
7938.58784375 |
transcript.pyannote[1454].end |
7938.67221875 |
transcript.pyannote[1455].speaker |
SPEAKER_27 |
transcript.pyannote[1455].start |
7938.67221875 |
transcript.pyannote[1455].end |
7938.72284375 |
transcript.pyannote[1456].speaker |
SPEAKER_00 |
transcript.pyannote[1456].start |
7938.72284375 |
transcript.pyannote[1456].end |
7938.90846875 |
transcript.pyannote[1457].speaker |
SPEAKER_28 |
transcript.pyannote[1457].start |
7953.10034375 |
transcript.pyannote[1457].end |
7956.03659375 |
transcript.pyannote[1458].speaker |
SPEAKER_28 |
transcript.pyannote[1458].start |
7956.13784375 |
transcript.pyannote[1458].end |
7963.61346875 |
transcript.pyannote[1459].speaker |
SPEAKER_28 |
transcript.pyannote[1459].start |
7964.23784375 |
transcript.pyannote[1459].end |
7964.76096875 |
transcript.pyannote[1460].speaker |
SPEAKER_28 |
transcript.pyannote[1460].start |
7965.30096875 |
transcript.pyannote[1460].end |
7965.99284375 |
transcript.pyannote[1461].speaker |
SPEAKER_28 |
transcript.pyannote[1461].start |
7966.76909375 |
transcript.pyannote[1461].end |
7971.07221875 |
transcript.pyannote[1462].speaker |
SPEAKER_28 |
transcript.pyannote[1462].start |
7971.42659375 |
transcript.pyannote[1462].end |
7971.74721875 |
transcript.pyannote[1463].speaker |
SPEAKER_28 |
transcript.pyannote[1463].start |
7972.25346875 |
transcript.pyannote[1463].end |
7974.04221875 |
transcript.pyannote[1464].speaker |
SPEAKER_28 |
transcript.pyannote[1464].start |
7974.48096875 |
transcript.pyannote[1464].end |
7983.34034375 |
transcript.pyannote[1465].speaker |
SPEAKER_02 |
transcript.pyannote[1465].start |
7984.57221875 |
transcript.pyannote[1465].end |
7984.85909375 |
transcript.pyannote[1466].speaker |
SPEAKER_02 |
transcript.pyannote[1466].start |
7985.04471875 |
transcript.pyannote[1466].end |
7986.02346875 |
transcript.pyannote[1467].speaker |
SPEAKER_28 |
transcript.pyannote[1467].start |
7986.19221875 |
transcript.pyannote[1467].end |
7990.20846875 |
transcript.pyannote[1468].speaker |
SPEAKER_28 |
transcript.pyannote[1468].start |
7990.68096875 |
transcript.pyannote[1468].end |
7991.94659375 |
transcript.pyannote[1469].speaker |
SPEAKER_28 |
transcript.pyannote[1469].start |
7992.50346875 |
transcript.pyannote[1469].end |
8008.58534375 |
transcript.pyannote[1470].speaker |
SPEAKER_28 |
transcript.pyannote[1470].start |
8008.85534375 |
transcript.pyannote[1470].end |
8009.24346875 |
transcript.pyannote[1471].speaker |
SPEAKER_28 |
transcript.pyannote[1471].start |
8010.15471875 |
transcript.pyannote[1471].end |
8015.03159375 |
transcript.pyannote[1472].speaker |
SPEAKER_28 |
transcript.pyannote[1472].start |
8015.68971875 |
transcript.pyannote[1472].end |
8016.07784375 |
transcript.pyannote[1473].speaker |
SPEAKER_28 |
transcript.pyannote[1473].start |
8016.36471875 |
transcript.pyannote[1473].end |
8018.18721875 |
transcript.pyannote[1474].speaker |
SPEAKER_28 |
transcript.pyannote[1474].start |
8018.37284375 |
transcript.pyannote[1474].end |
8035.75409375 |
transcript.pyannote[1475].speaker |
SPEAKER_28 |
transcript.pyannote[1475].start |
8035.93971875 |
transcript.pyannote[1475].end |
8038.84221875 |
transcript.pyannote[1476].speaker |
SPEAKER_28 |
transcript.pyannote[1476].start |
8039.98971875 |
transcript.pyannote[1476].end |
8047.85346875 |
transcript.pyannote[1477].speaker |
SPEAKER_02 |
transcript.pyannote[1477].start |
8049.67596875 |
transcript.pyannote[1477].end |
8058.41721875 |
transcript.pyannote[1478].speaker |
SPEAKER_02 |
transcript.pyannote[1478].start |
8058.85596875 |
transcript.pyannote[1478].end |
8065.36971875 |
transcript.pyannote[1479].speaker |
SPEAKER_02 |
transcript.pyannote[1479].start |
8065.74096875 |
transcript.pyannote[1479].end |
8071.03971875 |
transcript.pyannote[1480].speaker |
SPEAKER_02 |
transcript.pyannote[1480].start |
8071.24221875 |
transcript.pyannote[1480].end |
8077.65471875 |
transcript.pyannote[1481].speaker |
SPEAKER_28 |
transcript.pyannote[1481].start |
8077.65471875 |
transcript.pyannote[1481].end |
8077.80659375 |
transcript.pyannote[1482].speaker |
SPEAKER_02 |
transcript.pyannote[1482].start |
8077.80659375 |
transcript.pyannote[1482].end |
8078.02596875 |
transcript.pyannote[1483].speaker |
SPEAKER_28 |
transcript.pyannote[1483].start |
8078.02596875 |
transcript.pyannote[1483].end |
8079.05534375 |
transcript.pyannote[1484].speaker |
SPEAKER_31 |
transcript.pyannote[1484].start |
8078.66721875 |
transcript.pyannote[1484].end |
8079.96659375 |
transcript.pyannote[1485].speaker |
SPEAKER_28 |
transcript.pyannote[1485].start |
8079.59534375 |
transcript.pyannote[1485].end |
8116.50096875 |
transcript.pyannote[1486].speaker |
SPEAKER_28 |
transcript.pyannote[1486].start |
8116.85534375 |
transcript.pyannote[1486].end |
8127.55409375 |
transcript.pyannote[1487].speaker |
SPEAKER_28 |
transcript.pyannote[1487].start |
8128.02659375 |
transcript.pyannote[1487].end |
8150.33534375 |
transcript.pyannote[1488].speaker |
SPEAKER_27 |
transcript.pyannote[1488].start |
8149.87971875 |
transcript.pyannote[1488].end |
8150.72346875 |
transcript.pyannote[1489].speaker |
SPEAKER_28 |
transcript.pyannote[1489].start |
8150.57159375 |
transcript.pyannote[1489].end |
8151.33096875 |
transcript.pyannote[1490].speaker |
SPEAKER_27 |
transcript.pyannote[1490].start |
8150.89221875 |
transcript.pyannote[1490].end |
8150.94284375 |
transcript.pyannote[1491].speaker |
SPEAKER_28 |
transcript.pyannote[1491].start |
8151.78659375 |
transcript.pyannote[1491].end |
8158.08096875 |
transcript.pyannote[1492].speaker |
SPEAKER_20 |
transcript.pyannote[1492].start |
8156.34284375 |
transcript.pyannote[1492].end |
8156.39346875 |
transcript.pyannote[1493].speaker |
SPEAKER_20 |
transcript.pyannote[1493].start |
8157.50721875 |
transcript.pyannote[1493].end |
8164.40909375 |
transcript.pyannote[1494].speaker |
SPEAKER_28 |
transcript.pyannote[1494].start |
8164.42596875 |
transcript.pyannote[1494].end |
8181.68909375 |
transcript.pyannote[1495].speaker |
SPEAKER_22 |
transcript.pyannote[1495].start |
8182.11096875 |
transcript.pyannote[1495].end |
8182.12784375 |
transcript.pyannote[1496].speaker |
SPEAKER_28 |
transcript.pyannote[1496].start |
8182.12784375 |
transcript.pyannote[1496].end |
8182.48221875 |
transcript.pyannote[1497].speaker |
SPEAKER_22 |
transcript.pyannote[1497].start |
8182.56659375 |
transcript.pyannote[1497].end |
8182.85346875 |
transcript.pyannote[1498].speaker |
SPEAKER_22 |
transcript.pyannote[1498].start |
8183.00534375 |
transcript.pyannote[1498].end |
8183.03909375 |
transcript.pyannote[1499].speaker |
SPEAKER_22 |
transcript.pyannote[1499].start |
8183.07284375 |
transcript.pyannote[1499].end |
8183.22471875 |
transcript.pyannote[1500].speaker |
SPEAKER_28 |
transcript.pyannote[1500].start |
8183.22471875 |
transcript.pyannote[1500].end |
8183.86596875 |
transcript.pyannote[1501].speaker |
SPEAKER_22 |
transcript.pyannote[1501].start |
8188.59096875 |
transcript.pyannote[1501].end |
8192.03346875 |
transcript.pyannote[1502].speaker |
SPEAKER_11 |
transcript.pyannote[1502].start |
8199.01971875 |
transcript.pyannote[1502].end |
8200.82534375 |
transcript.pyannote[1503].speaker |
SPEAKER_22 |
transcript.pyannote[1503].start |
8201.19659375 |
transcript.pyannote[1503].end |
8202.05721875 |
transcript.pyannote[1504].speaker |
SPEAKER_11 |
transcript.pyannote[1504].start |
8207.05221875 |
transcript.pyannote[1504].end |
8242.16909375 |
transcript.pyannote[1505].speaker |
SPEAKER_23 |
transcript.pyannote[1505].start |
8244.07596875 |
transcript.pyannote[1505].end |
8244.43034375 |
transcript.pyannote[1506].speaker |
SPEAKER_23 |
transcript.pyannote[1506].start |
8244.71721875 |
transcript.pyannote[1506].end |
8246.70846875 |
transcript.pyannote[1507].speaker |
SPEAKER_23 |
transcript.pyannote[1507].start |
8247.34971875 |
transcript.pyannote[1507].end |
8264.37659375 |
transcript.pyannote[1508].speaker |
SPEAKER_27 |
transcript.pyannote[1508].start |
8252.42909375 |
transcript.pyannote[1508].end |
8253.67784375 |
transcript.pyannote[1509].speaker |
SPEAKER_23 |
transcript.pyannote[1509].start |
8264.66346875 |
transcript.pyannote[1509].end |
8275.61534375 |
transcript.pyannote[1510].speaker |
SPEAKER_11 |
transcript.pyannote[1510].start |
8275.66596875 |
transcript.pyannote[1510].end |
8329.69971875 |
transcript.pyannote[1511].speaker |
SPEAKER_23 |
transcript.pyannote[1511].start |
8330.59409375 |
transcript.pyannote[1511].end |
8332.53471875 |
transcript.pyannote[1512].speaker |
SPEAKER_23 |
transcript.pyannote[1512].start |
8332.83846875 |
transcript.pyannote[1512].end |
8341.32659375 |
transcript.pyannote[1513].speaker |
SPEAKER_11 |
transcript.pyannote[1513].start |
8341.05659375 |
transcript.pyannote[1513].end |
8346.03471875 |
transcript.pyannote[1514].speaker |
SPEAKER_20 |
transcript.pyannote[1514].start |
8343.68909375 |
transcript.pyannote[1514].end |
8355.55221875 |
transcript.pyannote[1515].speaker |
SPEAKER_11 |
transcript.pyannote[1515].start |
8354.96159375 |
transcript.pyannote[1515].end |
8388.59346875 |
transcript.pyannote[1516].speaker |
SPEAKER_20 |
transcript.pyannote[1516].start |
8355.72096875 |
transcript.pyannote[1516].end |
8355.75471875 |
transcript.pyannote[1517].speaker |
SPEAKER_20 |
transcript.pyannote[1517].start |
8357.77971875 |
transcript.pyannote[1517].end |
8358.11721875 |
transcript.pyannote[1518].speaker |
SPEAKER_11 |
transcript.pyannote[1518].start |
8389.01534375 |
transcript.pyannote[1518].end |
8405.46846875 |
transcript.pyannote[1519].speaker |
SPEAKER_11 |
transcript.pyannote[1519].start |
8405.90721875 |
transcript.pyannote[1519].end |
8423.50784375 |
transcript.pyannote[1520].speaker |
SPEAKER_11 |
transcript.pyannote[1520].start |
8424.13221875 |
transcript.pyannote[1520].end |
8431.50659375 |
transcript.pyannote[1521].speaker |
SPEAKER_11 |
transcript.pyannote[1521].start |
8431.69221875 |
transcript.pyannote[1521].end |
8470.43721875 |
transcript.pyannote[1522].speaker |
SPEAKER_11 |
transcript.pyannote[1522].start |
8470.69034375 |
transcript.pyannote[1522].end |
8512.55721875 |
transcript.pyannote[1523].speaker |
SPEAKER_11 |
transcript.pyannote[1523].start |
8512.84409375 |
transcript.pyannote[1523].end |
8533.38096875 |
transcript.pyannote[1524].speaker |
SPEAKER_11 |
transcript.pyannote[1524].start |
8533.75221875 |
transcript.pyannote[1524].end |
8534.03909375 |
transcript.pyannote[1525].speaker |
SPEAKER_23 |
transcript.pyannote[1525].start |
8534.03909375 |
transcript.pyannote[1525].end |
8543.05034375 |
transcript.pyannote[1526].speaker |
SPEAKER_23 |
transcript.pyannote[1526].start |
8543.28659375 |
transcript.pyannote[1526].end |
8550.96471875 |
transcript.pyannote[1527].speaker |
SPEAKER_23 |
transcript.pyannote[1527].start |
8551.28534375 |
transcript.pyannote[1527].end |
8567.94096875 |
transcript.pyannote[1528].speaker |
SPEAKER_11 |
transcript.pyannote[1528].start |
8567.75534375 |
transcript.pyannote[1528].end |
8591.83596875 |
transcript.pyannote[1529].speaker |
SPEAKER_03 |
transcript.pyannote[1529].start |
8577.62721875 |
transcript.pyannote[1529].end |
8578.70721875 |
transcript.pyannote[1530].speaker |
SPEAKER_11 |
transcript.pyannote[1530].start |
8592.32534375 |
transcript.pyannote[1530].end |
8597.08409375 |
transcript.pyannote[1531].speaker |
SPEAKER_20 |
transcript.pyannote[1531].start |
8597.08409375 |
transcript.pyannote[1531].end |
8617.43534375 |
transcript.pyannote[1532].speaker |
SPEAKER_11 |
transcript.pyannote[1532].start |
8615.49471875 |
transcript.pyannote[1532].end |
8684.17596875 |
transcript.pyannote[1533].speaker |
SPEAKER_20 |
transcript.pyannote[1533].start |
8684.09159375 |
transcript.pyannote[1533].end |
8700.98346875 |
transcript.pyannote[1534].speaker |
SPEAKER_11 |
transcript.pyannote[1534].start |
8699.34659375 |
transcript.pyannote[1534].end |
8706.73784375 |
transcript.pyannote[1535].speaker |
SPEAKER_20 |
transcript.pyannote[1535].start |
8703.61596875 |
transcript.pyannote[1535].end |
8703.83534375 |
transcript.pyannote[1536].speaker |
SPEAKER_24 |
transcript.pyannote[1536].start |
8706.31596875 |
transcript.pyannote[1536].end |
8706.63659375 |
transcript.pyannote[1537].speaker |
SPEAKER_24 |
transcript.pyannote[1537].start |
8706.73784375 |
transcript.pyannote[1537].end |
8707.09221875 |
transcript.pyannote[1538].speaker |
SPEAKER_11 |
transcript.pyannote[1538].start |
8707.09221875 |
transcript.pyannote[1538].end |
8707.58159375 |
transcript.pyannote[1539].speaker |
SPEAKER_24 |
transcript.pyannote[1539].start |
8707.26096875 |
transcript.pyannote[1539].end |
8707.27784375 |
transcript.pyannote[1540].speaker |
SPEAKER_24 |
transcript.pyannote[1540].start |
8707.58159375 |
transcript.pyannote[1540].end |
8707.91909375 |
transcript.pyannote[1541].speaker |
SPEAKER_22 |
transcript.pyannote[1541].start |
8710.28159375 |
transcript.pyannote[1541].end |
8710.50096875 |
transcript.pyannote[1542].speaker |
SPEAKER_22 |
transcript.pyannote[1542].start |
8711.54721875 |
transcript.pyannote[1542].end |
8712.84659375 |
transcript.pyannote[1543].speaker |
SPEAKER_22 |
transcript.pyannote[1543].start |
8713.35284375 |
transcript.pyannote[1543].end |
8715.63096875 |
transcript.pyannote[1544].speaker |
SPEAKER_22 |
transcript.pyannote[1544].start |
8716.69409375 |
transcript.pyannote[1544].end |
8717.06534375 |
transcript.pyannote[1545].speaker |
SPEAKER_22 |
transcript.pyannote[1545].start |
8718.98909375 |
transcript.pyannote[1545].end |
8720.38971875 |
transcript.pyannote[1546].speaker |
SPEAKER_22 |
transcript.pyannote[1546].start |
8720.82846875 |
transcript.pyannote[1546].end |
8722.49909375 |
transcript.pyannote[1547].speaker |
SPEAKER_27 |
transcript.pyannote[1547].start |
8727.15659375 |
transcript.pyannote[1547].end |
8727.37596875 |
transcript.pyannote[1548].speaker |
SPEAKER_27 |
transcript.pyannote[1548].start |
8727.39284375 |
transcript.pyannote[1548].end |
8729.92409375 |
transcript.pyannote[1549].speaker |
SPEAKER_22 |
transcript.pyannote[1549].start |
9165.43409375 |
transcript.pyannote[1549].end |
9168.35346875 |
transcript.pyannote[1550].speaker |
SPEAKER_22 |
transcript.pyannote[1550].start |
9168.69096875 |
transcript.pyannote[1550].end |
9169.21409375 |
transcript.pyannote[1551].speaker |
SPEAKER_22 |
transcript.pyannote[1551].start |
9175.55909375 |
transcript.pyannote[1551].end |
9177.38159375 |
transcript.pyannote[1552].speaker |
SPEAKER_22 |
transcript.pyannote[1552].start |
9177.87096875 |
transcript.pyannote[1552].end |
9180.52034375 |
transcript.pyannote[1553].speaker |
SPEAKER_22 |
transcript.pyannote[1553].start |
9189.83534375 |
transcript.pyannote[1553].end |
9190.34159375 |
transcript.pyannote[1554].speaker |
SPEAKER_32 |
transcript.pyannote[1554].start |
9197.10846875 |
transcript.pyannote[1554].end |
9198.08721875 |
transcript.pyannote[1555].speaker |
SPEAKER_22 |
transcript.pyannote[1555].start |
9198.32346875 |
transcript.pyannote[1555].end |
9199.20096875 |
transcript.pyannote[1556].speaker |
SPEAKER_32 |
transcript.pyannote[1556].start |
9207.25034375 |
transcript.pyannote[1556].end |
9210.69284375 |
transcript.pyannote[1557].speaker |
SPEAKER_27 |
transcript.pyannote[1557].start |
9207.41909375 |
transcript.pyannote[1557].end |
9208.43159375 |
transcript.pyannote[1558].speaker |
SPEAKER_32 |
transcript.pyannote[1558].start |
9210.86159375 |
transcript.pyannote[1558].end |
9214.40534375 |
transcript.pyannote[1559].speaker |
SPEAKER_32 |
transcript.pyannote[1559].start |
9215.02971875 |
transcript.pyannote[1559].end |
9216.63284375 |
transcript.pyannote[1560].speaker |
SPEAKER_32 |
transcript.pyannote[1560].start |
9217.89846875 |
transcript.pyannote[1560].end |
9218.86034375 |
transcript.pyannote[1561].speaker |
SPEAKER_20 |
transcript.pyannote[1561].start |
9220.05846875 |
transcript.pyannote[1561].end |
9223.95659375 |
transcript.pyannote[1562].speaker |
SPEAKER_32 |
transcript.pyannote[1562].start |
9223.99034375 |
transcript.pyannote[1562].end |
9229.89659375 |
transcript.pyannote[1563].speaker |
SPEAKER_32 |
transcript.pyannote[1563].start |
9230.70659375 |
transcript.pyannote[1563].end |
9232.14096875 |
transcript.pyannote[1564].speaker |
SPEAKER_20 |
transcript.pyannote[1564].start |
9233.17034375 |
transcript.pyannote[1564].end |
9235.36409375 |
transcript.pyannote[1565].speaker |
SPEAKER_20 |
transcript.pyannote[1565].start |
9235.66784375 |
transcript.pyannote[1565].end |
9240.98346875 |
transcript.pyannote[1566].speaker |
SPEAKER_32 |
transcript.pyannote[1566].start |
9239.14409375 |
transcript.pyannote[1566].end |
9241.74284375 |
transcript.pyannote[1567].speaker |
SPEAKER_20 |
transcript.pyannote[1567].start |
9241.42221875 |
transcript.pyannote[1567].end |
9245.48909375 |
transcript.pyannote[1568].speaker |
SPEAKER_32 |
transcript.pyannote[1568].start |
9241.86096875 |
transcript.pyannote[1568].end |
9242.45159375 |
transcript.pyannote[1569].speaker |
SPEAKER_32 |
transcript.pyannote[1569].start |
9245.48909375 |
transcript.pyannote[1569].end |
9257.82471875 |
transcript.pyannote[1570].speaker |
SPEAKER_20 |
transcript.pyannote[1570].start |
9245.52284375 |
transcript.pyannote[1570].end |
9245.74221875 |
transcript.pyannote[1571].speaker |
SPEAKER_20 |
transcript.pyannote[1571].start |
9253.80846875 |
transcript.pyannote[1571].end |
9253.99409375 |
transcript.pyannote[1572].speaker |
SPEAKER_32 |
transcript.pyannote[1572].start |
9257.97659375 |
transcript.pyannote[1572].end |
9260.13659375 |
transcript.pyannote[1573].speaker |
SPEAKER_32 |
transcript.pyannote[1573].start |
9260.69346875 |
transcript.pyannote[1573].end |
9262.19534375 |
transcript.pyannote[1574].speaker |
SPEAKER_32 |
transcript.pyannote[1574].start |
9262.98846875 |
transcript.pyannote[1574].end |
9264.49034375 |
transcript.pyannote[1575].speaker |
SPEAKER_32 |
transcript.pyannote[1575].start |
9264.65909375 |
transcript.pyannote[1575].end |
9264.96284375 |
transcript.pyannote[1576].speaker |
SPEAKER_32 |
transcript.pyannote[1576].start |
9265.82346875 |
transcript.pyannote[1576].end |
9268.00034375 |
transcript.pyannote[1577].speaker |
SPEAKER_32 |
transcript.pyannote[1577].start |
9269.02971875 |
transcript.pyannote[1577].end |
9270.19409375 |
transcript.pyannote[1578].speaker |
SPEAKER_20 |
transcript.pyannote[1578].start |
9270.19409375 |
transcript.pyannote[1578].end |
9293.66721875 |
transcript.pyannote[1579].speaker |
SPEAKER_32 |
transcript.pyannote[1579].start |
9292.94159375 |
transcript.pyannote[1579].end |
9299.35409375 |
transcript.pyannote[1580].speaker |
SPEAKER_20 |
transcript.pyannote[1580].start |
9299.47221875 |
transcript.pyannote[1580].end |
9307.89284375 |
transcript.pyannote[1581].speaker |
SPEAKER_32 |
transcript.pyannote[1581].start |
9308.43284375 |
transcript.pyannote[1581].end |
9317.56221875 |
transcript.pyannote[1582].speaker |
SPEAKER_32 |
transcript.pyannote[1582].start |
9317.68034375 |
transcript.pyannote[1582].end |
9320.05971875 |
transcript.pyannote[1583].speaker |
SPEAKER_32 |
transcript.pyannote[1583].start |
9320.54909375 |
transcript.pyannote[1583].end |
9320.92034375 |
transcript.pyannote[1584].speaker |
SPEAKER_24 |
transcript.pyannote[1584].start |
9321.05534375 |
transcript.pyannote[1584].end |
9321.46034375 |
transcript.pyannote[1585].speaker |
SPEAKER_32 |
transcript.pyannote[1585].start |
9321.42659375 |
transcript.pyannote[1585].end |
9324.86909375 |
transcript.pyannote[1586].speaker |
SPEAKER_32 |
transcript.pyannote[1586].start |
9325.40909375 |
transcript.pyannote[1586].end |
9333.69471875 |
transcript.pyannote[1587].speaker |
SPEAKER_20 |
transcript.pyannote[1587].start |
9333.93096875 |
transcript.pyannote[1587].end |
9342.77346875 |
transcript.pyannote[1588].speaker |
SPEAKER_32 |
transcript.pyannote[1588].start |
9343.58346875 |
transcript.pyannote[1588].end |
9345.89534375 |
transcript.pyannote[1589].speaker |
SPEAKER_32 |
transcript.pyannote[1589].start |
9346.03034375 |
transcript.pyannote[1589].end |
9348.42659375 |
transcript.pyannote[1590].speaker |
SPEAKER_32 |
transcript.pyannote[1590].start |
9349.05096875 |
transcript.pyannote[1590].end |
9350.09721875 |
transcript.pyannote[1591].speaker |
SPEAKER_32 |
transcript.pyannote[1591].start |
9350.45159375 |
transcript.pyannote[1591].end |
9353.25284375 |
transcript.pyannote[1592].speaker |
SPEAKER_32 |
transcript.pyannote[1592].start |
9353.32034375 |
transcript.pyannote[1592].end |
9355.96971875 |
transcript.pyannote[1593].speaker |
SPEAKER_32 |
transcript.pyannote[1593].start |
9356.15534375 |
transcript.pyannote[1593].end |
9357.30284375 |
transcript.pyannote[1594].speaker |
SPEAKER_32 |
transcript.pyannote[1594].start |
9357.99471875 |
transcript.pyannote[1594].end |
9361.13346875 |
transcript.pyannote[1595].speaker |
SPEAKER_20 |
transcript.pyannote[1595].start |
9362.12909375 |
transcript.pyannote[1595].end |
9382.80096875 |
transcript.pyannote[1596].speaker |
SPEAKER_32 |
transcript.pyannote[1596].start |
9373.23284375 |
transcript.pyannote[1596].end |
9373.24971875 |
transcript.pyannote[1597].speaker |
SPEAKER_27 |
transcript.pyannote[1597].start |
9373.24971875 |
transcript.pyannote[1597].end |
9373.30034375 |
transcript.pyannote[1598].speaker |
SPEAKER_32 |
transcript.pyannote[1598].start |
9373.30034375 |
transcript.pyannote[1598].end |
9376.62471875 |
transcript.pyannote[1599].speaker |
SPEAKER_32 |
transcript.pyannote[1599].start |
9382.80096875 |
transcript.pyannote[1599].end |
9387.08721875 |
transcript.pyannote[1600].speaker |
SPEAKER_32 |
transcript.pyannote[1600].start |
9387.44159375 |
transcript.pyannote[1600].end |
9389.87159375 |
transcript.pyannote[1601].speaker |
SPEAKER_32 |
transcript.pyannote[1601].start |
9390.42846875 |
transcript.pyannote[1601].end |
9391.33971875 |
transcript.pyannote[1602].speaker |
SPEAKER_32 |
transcript.pyannote[1602].start |
9391.59284375 |
transcript.pyannote[1602].end |
9392.99346875 |
transcript.pyannote[1603].speaker |
SPEAKER_32 |
transcript.pyannote[1603].start |
9393.51659375 |
transcript.pyannote[1603].end |
9395.28846875 |
transcript.pyannote[1604].speaker |
SPEAKER_32 |
transcript.pyannote[1604].start |
9395.76096875 |
transcript.pyannote[1604].end |
9396.06471875 |
transcript.pyannote[1605].speaker |
SPEAKER_24 |
transcript.pyannote[1605].start |
9396.40221875 |
transcript.pyannote[1605].end |
9396.65534375 |
transcript.pyannote[1606].speaker |
SPEAKER_20 |
transcript.pyannote[1606].start |
9396.65534375 |
transcript.pyannote[1606].end |
9396.72284375 |
transcript.pyannote[1607].speaker |
SPEAKER_32 |
transcript.pyannote[1607].start |
9396.77346875 |
transcript.pyannote[1607].end |
9397.76909375 |
transcript.pyannote[1608].speaker |
SPEAKER_32 |
transcript.pyannote[1608].start |
9397.81971875 |
transcript.pyannote[1608].end |
9400.23284375 |
transcript.pyannote[1609].speaker |
SPEAKER_20 |
transcript.pyannote[1609].start |
9400.89096875 |
transcript.pyannote[1609].end |
9410.02034375 |
transcript.pyannote[1610].speaker |
SPEAKER_32 |
transcript.pyannote[1610].start |
9409.27784375 |
transcript.pyannote[1610].end |
9413.63159375 |
transcript.pyannote[1611].speaker |
SPEAKER_20 |
transcript.pyannote[1611].start |
9410.91471875 |
transcript.pyannote[1611].end |
9422.44034375 |
transcript.pyannote[1612].speaker |
SPEAKER_32 |
transcript.pyannote[1612].start |
9421.83284375 |
transcript.pyannote[1612].end |
9431.62034375 |
transcript.pyannote[1613].speaker |
SPEAKER_32 |
transcript.pyannote[1613].start |
9432.24471875 |
transcript.pyannote[1613].end |
9434.72534375 |
transcript.pyannote[1614].speaker |
SPEAKER_32 |
transcript.pyannote[1614].start |
9435.16409375 |
transcript.pyannote[1614].end |
9436.27784375 |
transcript.pyannote[1615].speaker |
SPEAKER_32 |
transcript.pyannote[1615].start |
9436.73346875 |
transcript.pyannote[1615].end |
9440.96909375 |
transcript.pyannote[1616].speaker |
SPEAKER_32 |
transcript.pyannote[1616].start |
9441.99846875 |
transcript.pyannote[1616].end |
9442.96034375 |
transcript.pyannote[1617].speaker |
SPEAKER_32 |
transcript.pyannote[1617].start |
9443.39909375 |
transcript.pyannote[1617].end |
9443.87159375 |
transcript.pyannote[1618].speaker |
SPEAKER_32 |
transcript.pyannote[1618].start |
9444.17534375 |
transcript.pyannote[1618].end |
9448.69784375 |
transcript.pyannote[1619].speaker |
SPEAKER_32 |
transcript.pyannote[1619].start |
9449.13659375 |
transcript.pyannote[1619].end |
9451.81971875 |
transcript.pyannote[1620].speaker |
SPEAKER_20 |
transcript.pyannote[1620].start |
9451.81971875 |
transcript.pyannote[1620].end |
9464.66159375 |
transcript.pyannote[1621].speaker |
SPEAKER_32 |
transcript.pyannote[1621].start |
9464.08784375 |
transcript.pyannote[1621].end |
9465.85971875 |
transcript.pyannote[1622].speaker |
SPEAKER_20 |
transcript.pyannote[1622].start |
9465.18471875 |
transcript.pyannote[1622].end |
9465.64034375 |
transcript.pyannote[1623].speaker |
SPEAKER_20 |
transcript.pyannote[1623].start |
9465.85971875 |
transcript.pyannote[1623].end |
9465.87659375 |
transcript.pyannote[1624].speaker |
SPEAKER_32 |
transcript.pyannote[1624].start |
9465.87659375 |
transcript.pyannote[1624].end |
9467.24346875 |
transcript.pyannote[1625].speaker |
SPEAKER_20 |
transcript.pyannote[1625].start |
9465.92721875 |
transcript.pyannote[1625].end |
9466.06221875 |
transcript.pyannote[1626].speaker |
SPEAKER_32 |
transcript.pyannote[1626].start |
9467.42909375 |
transcript.pyannote[1626].end |
9467.93534375 |
transcript.pyannote[1627].speaker |
SPEAKER_20 |
transcript.pyannote[1627].start |
9467.49659375 |
transcript.pyannote[1627].end |
9467.83409375 |
transcript.pyannote[1628].speaker |
SPEAKER_32 |
transcript.pyannote[1628].start |
9468.45846875 |
transcript.pyannote[1628].end |
9470.31471875 |
transcript.pyannote[1629].speaker |
SPEAKER_20 |
transcript.pyannote[1629].start |
9469.21784375 |
transcript.pyannote[1629].end |
9469.99409375 |
transcript.pyannote[1630].speaker |
SPEAKER_32 |
transcript.pyannote[1630].start |
9470.41596875 |
transcript.pyannote[1630].end |
9474.28034375 |
transcript.pyannote[1631].speaker |
SPEAKER_32 |
transcript.pyannote[1631].start |
9475.83284375 |
transcript.pyannote[1631].end |
9476.44034375 |
transcript.pyannote[1632].speaker |
SPEAKER_32 |
transcript.pyannote[1632].start |
9477.80721875 |
transcript.pyannote[1632].end |
9478.93784375 |
transcript.pyannote[1633].speaker |
SPEAKER_32 |
transcript.pyannote[1633].start |
9478.97159375 |
transcript.pyannote[1633].end |
9480.45659375 |
transcript.pyannote[1634].speaker |
SPEAKER_32 |
transcript.pyannote[1634].start |
9480.69284375 |
transcript.pyannote[1634].end |
9487.88159375 |
transcript.pyannote[1635].speaker |
SPEAKER_32 |
transcript.pyannote[1635].start |
9488.42159375 |
transcript.pyannote[1635].end |
9492.42096875 |
transcript.pyannote[1636].speaker |
SPEAKER_32 |
transcript.pyannote[1636].start |
9492.94409375 |
transcript.pyannote[1636].end |
9499.15409375 |
transcript.pyannote[1637].speaker |
SPEAKER_32 |
transcript.pyannote[1637].start |
9499.40721875 |
transcript.pyannote[1637].end |
9507.05159375 |
transcript.pyannote[1638].speaker |
SPEAKER_32 |
transcript.pyannote[1638].start |
9507.38909375 |
transcript.pyannote[1638].end |
9508.36784375 |
transcript.pyannote[1639].speaker |
SPEAKER_32 |
transcript.pyannote[1639].start |
9509.07659375 |
transcript.pyannote[1639].end |
9510.81471875 |
transcript.pyannote[1640].speaker |
SPEAKER_32 |
transcript.pyannote[1640].start |
9511.43909375 |
transcript.pyannote[1640].end |
9513.39659375 |
transcript.pyannote[1641].speaker |
SPEAKER_02 |
transcript.pyannote[1641].start |
9515.59034375 |
transcript.pyannote[1641].end |
9515.97846875 |
transcript.pyannote[1642].speaker |
SPEAKER_32 |
transcript.pyannote[1642].start |
9515.97846875 |
transcript.pyannote[1642].end |
9523.35284375 |
transcript.pyannote[1643].speaker |
SPEAKER_02 |
transcript.pyannote[1643].start |
9522.37409375 |
transcript.pyannote[1643].end |
9526.39034375 |
transcript.pyannote[1644].speaker |
SPEAKER_32 |
transcript.pyannote[1644].start |
9526.03596875 |
transcript.pyannote[1644].end |
9533.83221875 |
transcript.pyannote[1645].speaker |
SPEAKER_32 |
transcript.pyannote[1645].start |
9534.96284375 |
transcript.pyannote[1645].end |
9537.39284375 |
transcript.pyannote[1646].speaker |
SPEAKER_32 |
transcript.pyannote[1646].start |
9537.89909375 |
transcript.pyannote[1646].end |
9540.26159375 |
transcript.pyannote[1647].speaker |
SPEAKER_32 |
transcript.pyannote[1647].start |
9540.75096875 |
transcript.pyannote[1647].end |
9541.71284375 |
transcript.pyannote[1648].speaker |
SPEAKER_32 |
transcript.pyannote[1648].start |
9542.10096875 |
transcript.pyannote[1648].end |
9542.62409375 |
transcript.pyannote[1649].speaker |
SPEAKER_32 |
transcript.pyannote[1649].start |
9542.79284375 |
transcript.pyannote[1649].end |
9545.56034375 |
transcript.pyannote[1650].speaker |
SPEAKER_32 |
transcript.pyannote[1650].start |
9545.81346875 |
transcript.pyannote[1650].end |
9548.20971875 |
transcript.pyannote[1651].speaker |
SPEAKER_32 |
transcript.pyannote[1651].start |
9549.10409375 |
transcript.pyannote[1651].end |
9550.35284375 |
transcript.pyannote[1652].speaker |
SPEAKER_20 |
transcript.pyannote[1652].start |
9551.26409375 |
transcript.pyannote[1652].end |
9557.55846875 |
transcript.pyannote[1653].speaker |
SPEAKER_32 |
transcript.pyannote[1653].start |
9555.01034375 |
transcript.pyannote[1653].end |
9555.02721875 |
transcript.pyannote[1654].speaker |
SPEAKER_32 |
transcript.pyannote[1654].start |
9555.04409375 |
transcript.pyannote[1654].end |
9555.43221875 |
transcript.pyannote[1655].speaker |
SPEAKER_32 |
transcript.pyannote[1655].start |
9556.19159375 |
transcript.pyannote[1655].end |
9556.73159375 |
transcript.pyannote[1656].speaker |
SPEAKER_32 |
transcript.pyannote[1656].start |
9557.55846875 |
transcript.pyannote[1656].end |
9563.11034375 |
transcript.pyannote[1657].speaker |
SPEAKER_32 |
transcript.pyannote[1657].start |
9563.80221875 |
transcript.pyannote[1657].end |
9564.27471875 |
transcript.pyannote[1658].speaker |
SPEAKER_32 |
transcript.pyannote[1658].start |
9565.62471875 |
transcript.pyannote[1658].end |
9566.53596875 |
transcript.pyannote[1659].speaker |
SPEAKER_32 |
transcript.pyannote[1659].start |
9567.46409375 |
transcript.pyannote[1659].end |
9570.48471875 |
transcript.pyannote[1660].speaker |
SPEAKER_32 |
transcript.pyannote[1660].start |
9570.58596875 |
transcript.pyannote[1660].end |
9570.60284375 |
transcript.pyannote[1661].speaker |
SPEAKER_20 |
transcript.pyannote[1661].start |
9570.60284375 |
transcript.pyannote[1661].end |
9575.09159375 |
transcript.pyannote[1662].speaker |
SPEAKER_20 |
transcript.pyannote[1662].start |
9575.27721875 |
transcript.pyannote[1662].end |
9587.03909375 |
transcript.pyannote[1663].speaker |
SPEAKER_32 |
transcript.pyannote[1663].start |
9586.61721875 |
transcript.pyannote[1663].end |
9596.01659375 |
transcript.pyannote[1664].speaker |
SPEAKER_20 |
transcript.pyannote[1664].start |
9587.46096875 |
transcript.pyannote[1664].end |
9587.47784375 |
transcript.pyannote[1665].speaker |
SPEAKER_24 |
transcript.pyannote[1665].start |
9587.47784375 |
transcript.pyannote[1665].end |
9587.64659375 |
transcript.pyannote[1666].speaker |
SPEAKER_20 |
transcript.pyannote[1666].start |
9587.64659375 |
transcript.pyannote[1666].end |
9587.79846875 |
transcript.pyannote[1667].speaker |
SPEAKER_24 |
transcript.pyannote[1667].start |
9587.79846875 |
transcript.pyannote[1667].end |
9587.89971875 |
transcript.pyannote[1668].speaker |
SPEAKER_24 |
transcript.pyannote[1668].start |
9589.13159375 |
transcript.pyannote[1668].end |
9589.80659375 |
transcript.pyannote[1669].speaker |
SPEAKER_29 |
transcript.pyannote[1669].start |
9589.80659375 |
transcript.pyannote[1669].end |
9589.82346875 |
transcript.pyannote[1670].speaker |
SPEAKER_32 |
transcript.pyannote[1670].start |
9596.77596875 |
transcript.pyannote[1670].end |
9597.14721875 |
transcript.pyannote[1671].speaker |
SPEAKER_29 |
transcript.pyannote[1671].start |
9597.19784375 |
transcript.pyannote[1671].end |
9597.61971875 |
transcript.pyannote[1672].speaker |
SPEAKER_29 |
transcript.pyannote[1672].start |
9597.83909375 |
transcript.pyannote[1672].end |
9597.85596875 |
transcript.pyannote[1673].speaker |
SPEAKER_32 |
transcript.pyannote[1673].start |
9597.85596875 |
transcript.pyannote[1673].end |
9598.31159375 |
transcript.pyannote[1674].speaker |
SPEAKER_29 |
transcript.pyannote[1674].start |
9598.31159375 |
transcript.pyannote[1674].end |
9598.39596875 |
transcript.pyannote[1675].speaker |
SPEAKER_32 |
transcript.pyannote[1675].start |
9598.39596875 |
transcript.pyannote[1675].end |
9598.53096875 |
transcript.pyannote[1676].speaker |
SPEAKER_29 |
transcript.pyannote[1676].start |
9598.53096875 |
transcript.pyannote[1676].end |
9598.54784375 |
transcript.pyannote[1677].speaker |
SPEAKER_32 |
transcript.pyannote[1677].start |
9599.44221875 |
transcript.pyannote[1677].end |
9600.42096875 |
transcript.pyannote[1678].speaker |
SPEAKER_32 |
transcript.pyannote[1678].start |
9600.96096875 |
transcript.pyannote[1678].end |
9601.63596875 |
transcript.pyannote[1679].speaker |
SPEAKER_32 |
transcript.pyannote[1679].start |
9602.34471875 |
transcript.pyannote[1679].end |
9602.96909375 |
transcript.pyannote[1680].speaker |
SPEAKER_32 |
transcript.pyannote[1680].start |
9603.18846875 |
transcript.pyannote[1680].end |
9603.76221875 |
transcript.pyannote[1681].speaker |
SPEAKER_32 |
transcript.pyannote[1681].start |
9604.50471875 |
transcript.pyannote[1681].end |
9605.23034375 |
transcript.pyannote[1682].speaker |
SPEAKER_32 |
transcript.pyannote[1682].start |
9607.28909375 |
transcript.pyannote[1682].end |
9608.70659375 |
transcript.pyannote[1683].speaker |
SPEAKER_32 |
transcript.pyannote[1683].start |
9610.76534375 |
transcript.pyannote[1683].end |
9611.59221875 |
transcript.pyannote[1684].speaker |
SPEAKER_32 |
transcript.pyannote[1684].start |
9611.82846875 |
transcript.pyannote[1684].end |
9614.20784375 |
transcript.pyannote[1685].speaker |
SPEAKER_32 |
transcript.pyannote[1685].start |
9614.81534375 |
transcript.pyannote[1685].end |
9616.78971875 |
transcript.pyannote[1686].speaker |
SPEAKER_32 |
transcript.pyannote[1686].start |
9618.27471875 |
transcript.pyannote[1686].end |
9619.18596875 |
transcript.pyannote[1687].speaker |
SPEAKER_32 |
transcript.pyannote[1687].start |
9619.23659375 |
transcript.pyannote[1687].end |
9621.22784375 |
transcript.pyannote[1688].speaker |
SPEAKER_32 |
transcript.pyannote[1688].start |
9621.61596875 |
transcript.pyannote[1688].end |
9623.35409375 |
transcript.pyannote[1689].speaker |
SPEAKER_32 |
transcript.pyannote[1689].start |
9623.77596875 |
transcript.pyannote[1689].end |
9626.18909375 |
transcript.pyannote[1690].speaker |
SPEAKER_32 |
transcript.pyannote[1690].start |
9626.66159375 |
transcript.pyannote[1690].end |
9632.23034375 |
transcript.pyannote[1691].speaker |
SPEAKER_32 |
transcript.pyannote[1691].start |
9632.70284375 |
transcript.pyannote[1691].end |
9635.03159375 |
transcript.pyannote[1692].speaker |
SPEAKER_32 |
transcript.pyannote[1692].start |
9635.50409375 |
transcript.pyannote[1692].end |
9639.16596875 |
transcript.pyannote[1693].speaker |
SPEAKER_32 |
transcript.pyannote[1693].start |
9639.92534375 |
transcript.pyannote[1693].end |
9643.94159375 |
transcript.pyannote[1694].speaker |
SPEAKER_32 |
transcript.pyannote[1694].start |
9644.56596875 |
transcript.pyannote[1694].end |
9648.53159375 |
transcript.pyannote[1695].speaker |
SPEAKER_32 |
transcript.pyannote[1695].start |
9649.71284375 |
transcript.pyannote[1695].end |
9652.41284375 |
transcript.pyannote[1696].speaker |
SPEAKER_32 |
transcript.pyannote[1696].start |
9652.76721875 |
transcript.pyannote[1696].end |
9661.69409375 |
transcript.pyannote[1697].speaker |
SPEAKER_32 |
transcript.pyannote[1697].start |
9662.14971875 |
transcript.pyannote[1697].end |
9664.98471875 |
transcript.pyannote[1698].speaker |
SPEAKER_32 |
transcript.pyannote[1698].start |
9666.19971875 |
transcript.pyannote[1698].end |
9668.20784375 |
transcript.pyannote[1699].speaker |
SPEAKER_20 |
transcript.pyannote[1699].start |
9668.34284375 |
transcript.pyannote[1699].end |
9687.69846875 |
transcript.pyannote[1700].speaker |
SPEAKER_13 |
transcript.pyannote[1700].start |
9680.10471875 |
transcript.pyannote[1700].end |
9680.13846875 |
transcript.pyannote[1701].speaker |
SPEAKER_27 |
transcript.pyannote[1701].start |
9680.13846875 |
transcript.pyannote[1701].end |
9680.18909375 |
transcript.pyannote[1702].speaker |
SPEAKER_13 |
transcript.pyannote[1702].start |
9680.18909375 |
transcript.pyannote[1702].end |
9680.23971875 |
transcript.pyannote[1703].speaker |
SPEAKER_32 |
transcript.pyannote[1703].start |
9687.09096875 |
transcript.pyannote[1703].end |
9687.10784375 |
transcript.pyannote[1704].speaker |
SPEAKER_27 |
transcript.pyannote[1704].start |
9687.10784375 |
transcript.pyannote[1704].end |
9688.08659375 |
transcript.pyannote[1705].speaker |
SPEAKER_20 |
transcript.pyannote[1705].start |
9688.32284375 |
transcript.pyannote[1705].end |
9692.98034375 |
transcript.pyannote[1706].speaker |
SPEAKER_32 |
transcript.pyannote[1706].start |
9691.66409375 |
transcript.pyannote[1706].end |
9704.37096875 |
transcript.pyannote[1707].speaker |
SPEAKER_32 |
transcript.pyannote[1707].start |
9705.68721875 |
transcript.pyannote[1707].end |
9711.49221875 |
transcript.pyannote[1708].speaker |
SPEAKER_20 |
transcript.pyannote[1708].start |
9711.35721875 |
transcript.pyannote[1708].end |
9721.09409375 |
transcript.pyannote[1709].speaker |
SPEAKER_32 |
transcript.pyannote[1709].start |
9720.35159375 |
transcript.pyannote[1709].end |
9723.64221875 |
transcript.pyannote[1710].speaker |
SPEAKER_20 |
transcript.pyannote[1710].start |
9723.16971875 |
transcript.pyannote[1710].end |
9723.59159375 |
transcript.pyannote[1711].speaker |
SPEAKER_20 |
transcript.pyannote[1711].start |
9724.33409375 |
transcript.pyannote[1711].end |
9726.69659375 |
transcript.pyannote[1712].speaker |
SPEAKER_32 |
transcript.pyannote[1712].start |
9725.90346875 |
transcript.pyannote[1712].end |
9731.92784375 |
transcript.pyannote[1713].speaker |
SPEAKER_20 |
transcript.pyannote[1713].start |
9732.51846875 |
transcript.pyannote[1713].end |
9746.50784375 |
transcript.pyannote[1714].speaker |
SPEAKER_32 |
transcript.pyannote[1714].start |
9746.06909375 |
transcript.pyannote[1714].end |
9756.29534375 |
transcript.pyannote[1715].speaker |
SPEAKER_32 |
transcript.pyannote[1715].start |
9756.80159375 |
transcript.pyannote[1715].end |
9758.87721875 |
transcript.pyannote[1716].speaker |
SPEAKER_32 |
transcript.pyannote[1716].start |
9759.23159375 |
transcript.pyannote[1716].end |
9762.40409375 |
transcript.pyannote[1717].speaker |
SPEAKER_32 |
transcript.pyannote[1717].start |
9762.70784375 |
transcript.pyannote[1717].end |
9764.15909375 |
transcript.pyannote[1718].speaker |
SPEAKER_32 |
transcript.pyannote[1718].start |
9765.13784375 |
transcript.pyannote[1718].end |
9777.01784375 |
transcript.pyannote[1719].speaker |
SPEAKER_20 |
transcript.pyannote[1719].start |
9777.20346875 |
transcript.pyannote[1719].end |
9790.61909375 |
transcript.pyannote[1720].speaker |
SPEAKER_32 |
transcript.pyannote[1720].start |
9790.61909375 |
transcript.pyannote[1720].end |
9793.45409375 |
transcript.pyannote[1721].speaker |
SPEAKER_20 |
transcript.pyannote[1721].start |
9791.04096875 |
transcript.pyannote[1721].end |
9791.14221875 |
transcript.pyannote[1722].speaker |
SPEAKER_32 |
transcript.pyannote[1722].start |
9794.04471875 |
transcript.pyannote[1722].end |
9799.41096875 |
transcript.pyannote[1723].speaker |
SPEAKER_32 |
transcript.pyannote[1723].start |
9799.79909375 |
transcript.pyannote[1723].end |
9800.86221875 |
transcript.pyannote[1724].speaker |
SPEAKER_22 |
transcript.pyannote[1724].start |
9800.03534375 |
transcript.pyannote[1724].end |
9803.56221875 |
transcript.pyannote[1725].speaker |
SPEAKER_32 |
transcript.pyannote[1725].start |
9803.19096875 |
transcript.pyannote[1725].end |
9806.21159375 |
transcript.pyannote[1726].speaker |
SPEAKER_32 |
transcript.pyannote[1726].start |
9806.97096875 |
transcript.pyannote[1726].end |
9809.70471875 |
transcript.pyannote[1727].speaker |
SPEAKER_22 |
transcript.pyannote[1727].start |
9808.40534375 |
transcript.pyannote[1727].end |
9809.83971875 |
transcript.pyannote[1728].speaker |
SPEAKER_22 |
transcript.pyannote[1728].start |
9812.01659375 |
transcript.pyannote[1728].end |
9812.84346875 |
transcript.pyannote[1729].speaker |
SPEAKER_27 |
transcript.pyannote[1729].start |
9812.84346875 |
transcript.pyannote[1729].end |
9812.86034375 |
transcript.pyannote[1730].speaker |
SPEAKER_22 |
transcript.pyannote[1730].start |
9812.86034375 |
transcript.pyannote[1730].end |
9812.97846875 |
transcript.pyannote[1731].speaker |
SPEAKER_27 |
transcript.pyannote[1731].start |
9812.97846875 |
transcript.pyannote[1731].end |
9813.26534375 |
transcript.pyannote[1732].speaker |
SPEAKER_22 |
transcript.pyannote[1732].start |
9814.12596875 |
transcript.pyannote[1732].end |
9814.36221875 |
transcript.pyannote[1733].speaker |
SPEAKER_22 |
transcript.pyannote[1733].start |
9815.07096875 |
transcript.pyannote[1733].end |
9815.23971875 |
transcript.pyannote[1734].speaker |
SPEAKER_22 |
transcript.pyannote[1734].start |
9815.42534375 |
transcript.pyannote[1734].end |
9817.43346875 |
transcript.pyannote[1735].speaker |
SPEAKER_00 |
transcript.pyannote[1735].start |
9827.32221875 |
transcript.pyannote[1735].end |
9828.31784375 |
transcript.pyannote[1736].speaker |
SPEAKER_24 |
transcript.pyannote[1736].start |
9828.58784375 |
transcript.pyannote[1736].end |
9828.60471875 |
transcript.pyannote[1737].speaker |
SPEAKER_22 |
transcript.pyannote[1737].start |
9828.60471875 |
transcript.pyannote[1737].end |
9828.77346875 |
transcript.pyannote[1738].speaker |
SPEAKER_00 |
transcript.pyannote[1738].start |
9828.99284375 |
transcript.pyannote[1738].end |
9830.74784375 |
transcript.pyannote[1739].speaker |
SPEAKER_22 |
transcript.pyannote[1739].start |
9830.78159375 |
transcript.pyannote[1739].end |
9831.70971875 |
transcript.pyannote[1740].speaker |
SPEAKER_00 |
transcript.pyannote[1740].start |
9837.75096875 |
transcript.pyannote[1740].end |
9839.50596875 |
transcript.pyannote[1741].speaker |
SPEAKER_00 |
transcript.pyannote[1741].start |
9840.41721875 |
transcript.pyannote[1741].end |
9841.34534375 |
transcript.pyannote[1742].speaker |
SPEAKER_00 |
transcript.pyannote[1742].start |
9841.83471875 |
transcript.pyannote[1742].end |
9844.14659375 |
transcript.pyannote[1743].speaker |
SPEAKER_00 |
transcript.pyannote[1743].start |
9844.83846875 |
transcript.pyannote[1743].end |
9845.63159375 |
transcript.pyannote[1744].speaker |
SPEAKER_00 |
transcript.pyannote[1744].start |
9846.15471875 |
transcript.pyannote[1744].end |
9849.85034375 |
transcript.pyannote[1745].speaker |
SPEAKER_00 |
transcript.pyannote[1745].start |
9850.32284375 |
transcript.pyannote[1745].end |
9854.23784375 |
transcript.pyannote[1746].speaker |
SPEAKER_00 |
transcript.pyannote[1746].start |
9855.08159375 |
transcript.pyannote[1746].end |
9860.22846875 |
transcript.pyannote[1747].speaker |
SPEAKER_00 |
transcript.pyannote[1747].start |
9861.00471875 |
transcript.pyannote[1747].end |
9878.13284375 |
transcript.pyannote[1748].speaker |
SPEAKER_00 |
transcript.pyannote[1748].start |
9878.53784375 |
transcript.pyannote[1748].end |
9894.82221875 |
transcript.pyannote[1749].speaker |
SPEAKER_00 |
transcript.pyannote[1749].start |
9894.97409375 |
transcript.pyannote[1749].end |
9897.18471875 |
transcript.pyannote[1750].speaker |
SPEAKER_00 |
transcript.pyannote[1750].start |
9897.77534375 |
transcript.pyannote[1750].end |
9900.82971875 |
transcript.pyannote[1751].speaker |
SPEAKER_00 |
transcript.pyannote[1751].start |
9900.94784375 |
transcript.pyannote[1751].end |
9912.70971875 |
transcript.pyannote[1752].speaker |
SPEAKER_00 |
transcript.pyannote[1752].start |
9912.82784375 |
transcript.pyannote[1752].end |
9917.83971875 |
transcript.pyannote[1753].speaker |
SPEAKER_00 |
transcript.pyannote[1753].start |
9918.19409375 |
transcript.pyannote[1753].end |
9920.05034375 |
transcript.pyannote[1754].speaker |
SPEAKER_00 |
transcript.pyannote[1754].start |
9920.37096875 |
transcript.pyannote[1754].end |
9922.93596875 |
transcript.pyannote[1755].speaker |
SPEAKER_00 |
transcript.pyannote[1755].start |
9923.40846875 |
transcript.pyannote[1755].end |
9924.92721875 |
transcript.pyannote[1756].speaker |
SPEAKER_00 |
transcript.pyannote[1756].start |
9925.51784375 |
transcript.pyannote[1756].end |
9927.79596875 |
transcript.pyannote[1757].speaker |
SPEAKER_00 |
transcript.pyannote[1757].start |
9927.96471875 |
transcript.pyannote[1757].end |
9943.70909375 |
transcript.pyannote[1758].speaker |
SPEAKER_20 |
transcript.pyannote[1758].start |
9943.77659375 |
transcript.pyannote[1758].end |
9996.37596875 |
transcript.pyannote[1759].speaker |
SPEAKER_00 |
transcript.pyannote[1759].start |
9996.37596875 |
transcript.pyannote[1759].end |
9996.39284375 |
transcript.pyannote[1760].speaker |
SPEAKER_00 |
transcript.pyannote[1760].start |
9996.59534375 |
transcript.pyannote[1760].end |
9998.60346875 |
transcript.pyannote[1761].speaker |
SPEAKER_00 |
transcript.pyannote[1761].start |
9999.24471875 |
transcript.pyannote[1761].end |
10024.30409375 |
transcript.pyannote[1762].speaker |
SPEAKER_20 |
transcript.pyannote[1762].start |
10002.21471875 |
transcript.pyannote[1762].end |
10002.92346875 |
transcript.pyannote[1763].speaker |
SPEAKER_01 |
transcript.pyannote[1763].start |
10003.41284375 |
transcript.pyannote[1763].end |
10003.56471875 |
transcript.pyannote[1764].speaker |
SPEAKER_27 |
transcript.pyannote[1764].start |
10003.56471875 |
transcript.pyannote[1764].end |
10003.59846875 |
transcript.pyannote[1765].speaker |
SPEAKER_01 |
transcript.pyannote[1765].start |
10003.59846875 |
transcript.pyannote[1765].end |
10003.73346875 |
transcript.pyannote[1766].speaker |
SPEAKER_24 |
transcript.pyannote[1766].start |
10023.13971875 |
transcript.pyannote[1766].end |
10023.24096875 |
transcript.pyannote[1767].speaker |
SPEAKER_24 |
transcript.pyannote[1767].start |
10023.76409375 |
transcript.pyannote[1767].end |
10024.74284375 |
transcript.pyannote[1768].speaker |
SPEAKER_00 |
transcript.pyannote[1768].start |
10025.55284375 |
transcript.pyannote[1768].end |
10026.17721875 |
transcript.pyannote[1769].speaker |
SPEAKER_00 |
transcript.pyannote[1769].start |
10026.53159375 |
transcript.pyannote[1769].end |
10027.24034375 |
transcript.pyannote[1770].speaker |
SPEAKER_00 |
transcript.pyannote[1770].start |
10027.30784375 |
transcript.pyannote[1770].end |
10029.23159375 |
transcript.pyannote[1771].speaker |
SPEAKER_24 |
transcript.pyannote[1771].start |
10027.35846875 |
transcript.pyannote[1771].end |
10027.56096875 |
transcript.pyannote[1772].speaker |
SPEAKER_00 |
transcript.pyannote[1772].start |
10029.50159375 |
transcript.pyannote[1772].end |
10037.14596875 |
transcript.pyannote[1773].speaker |
SPEAKER_00 |
transcript.pyannote[1773].start |
10037.43284375 |
transcript.pyannote[1773].end |
10040.97659375 |
transcript.pyannote[1774].speaker |
SPEAKER_23 |
transcript.pyannote[1774].start |
10040.97659375 |
transcript.pyannote[1774].end |
10048.60409375 |
transcript.pyannote[1775].speaker |
SPEAKER_00 |
transcript.pyannote[1775].start |
10048.60409375 |
transcript.pyannote[1775].end |
10056.68721875 |
transcript.pyannote[1776].speaker |
SPEAKER_13 |
transcript.pyannote[1776].start |
10054.24034375 |
transcript.pyannote[1776].end |
10055.30346875 |
transcript.pyannote[1777].speaker |
SPEAKER_13 |
transcript.pyannote[1777].start |
10056.11346875 |
transcript.pyannote[1777].end |
10056.48471875 |
transcript.pyannote[1778].speaker |
SPEAKER_13 |
transcript.pyannote[1778].start |
10056.51846875 |
transcript.pyannote[1778].end |
10056.65346875 |
transcript.pyannote[1779].speaker |
SPEAKER_13 |
transcript.pyannote[1779].start |
10056.68721875 |
transcript.pyannote[1779].end |
10056.94034375 |
transcript.pyannote[1780].speaker |
SPEAKER_00 |
transcript.pyannote[1780].start |
10056.94034375 |
transcript.pyannote[1780].end |
10057.42971875 |
transcript.pyannote[1781].speaker |
SPEAKER_13 |
transcript.pyannote[1781].start |
10056.95721875 |
transcript.pyannote[1781].end |
10057.27784375 |
transcript.pyannote[1782].speaker |
SPEAKER_00 |
transcript.pyannote[1782].start |
10057.86846875 |
transcript.pyannote[1782].end |
10059.03284375 |
transcript.pyannote[1783].speaker |
SPEAKER_00 |
transcript.pyannote[1783].start |
10060.66971875 |
transcript.pyannote[1783].end |
10066.42409375 |
transcript.pyannote[1784].speaker |
SPEAKER_00 |
transcript.pyannote[1784].start |
10067.01471875 |
transcript.pyannote[1784].end |
10078.06784375 |
transcript.pyannote[1785].speaker |
SPEAKER_00 |
transcript.pyannote[1785].start |
10078.69221875 |
transcript.pyannote[1785].end |
10080.71721875 |
transcript.pyannote[1786].speaker |
SPEAKER_00 |
transcript.pyannote[1786].start |
10081.27409375 |
transcript.pyannote[1786].end |
10083.36659375 |
transcript.pyannote[1787].speaker |
SPEAKER_00 |
transcript.pyannote[1787].start |
10083.56909375 |
transcript.pyannote[1787].end |
10095.88784375 |
transcript.pyannote[1788].speaker |
SPEAKER_00 |
transcript.pyannote[1788].start |
10096.74846875 |
transcript.pyannote[1788].end |
10097.59221875 |
transcript.pyannote[1789].speaker |
SPEAKER_20 |
transcript.pyannote[1789].start |
10097.76096875 |
transcript.pyannote[1789].end |
10097.98034375 |
transcript.pyannote[1790].speaker |
SPEAKER_00 |
transcript.pyannote[1790].start |
10098.26721875 |
transcript.pyannote[1790].end |
10101.59159375 |
transcript.pyannote[1791].speaker |
SPEAKER_20 |
transcript.pyannote[1791].start |
10102.28346875 |
transcript.pyannote[1791].end |
10108.83096875 |
transcript.pyannote[1792].speaker |
SPEAKER_00 |
transcript.pyannote[1792].start |
10108.47659375 |
transcript.pyannote[1792].end |
10115.29409375 |
transcript.pyannote[1793].speaker |
SPEAKER_00 |
transcript.pyannote[1793].start |
10115.56409375 |
transcript.pyannote[1793].end |
10118.88846875 |
transcript.pyannote[1794].speaker |
SPEAKER_00 |
transcript.pyannote[1794].start |
10119.41159375 |
transcript.pyannote[1794].end |
10122.19596875 |
transcript.pyannote[1795].speaker |
SPEAKER_00 |
transcript.pyannote[1795].start |
10122.29721875 |
transcript.pyannote[1795].end |
10132.25346875 |
transcript.pyannote[1796].speaker |
SPEAKER_00 |
transcript.pyannote[1796].start |
10132.84409375 |
transcript.pyannote[1796].end |
10133.92409375 |
transcript.pyannote[1797].speaker |
SPEAKER_00 |
transcript.pyannote[1797].start |
10134.26159375 |
transcript.pyannote[1797].end |
10135.08846875 |
transcript.pyannote[1798].speaker |
SPEAKER_20 |
transcript.pyannote[1798].start |
10135.29096875 |
transcript.pyannote[1798].end |
10140.18471875 |
transcript.pyannote[1799].speaker |
SPEAKER_00 |
transcript.pyannote[1799].start |
10136.26971875 |
transcript.pyannote[1799].end |
10138.31159375 |
transcript.pyannote[1800].speaker |
SPEAKER_00 |
transcript.pyannote[1800].start |
10139.29034375 |
transcript.pyannote[1800].end |
10141.46721875 |
transcript.pyannote[1801].speaker |
SPEAKER_00 |
transcript.pyannote[1801].start |
10141.63596875 |
transcript.pyannote[1801].end |
10142.02409375 |
transcript.pyannote[1802].speaker |
SPEAKER_00 |
transcript.pyannote[1802].start |
10143.82971875 |
transcript.pyannote[1802].end |
10145.77034375 |
transcript.pyannote[1803].speaker |
SPEAKER_00 |
transcript.pyannote[1803].start |
10147.37346875 |
transcript.pyannote[1803].end |
10148.68971875 |
transcript.pyannote[1804].speaker |
SPEAKER_20 |
transcript.pyannote[1804].start |
10149.97221875 |
transcript.pyannote[1804].end |
10153.38096875 |
transcript.pyannote[1805].speaker |
SPEAKER_00 |
transcript.pyannote[1805].start |
10150.88346875 |
transcript.pyannote[1805].end |
10153.58346875 |
transcript.pyannote[1806].speaker |
SPEAKER_20 |
transcript.pyannote[1806].start |
10153.58346875 |
transcript.pyannote[1806].end |
10154.02221875 |
transcript.pyannote[1807].speaker |
SPEAKER_00 |
transcript.pyannote[1807].start |
10154.15721875 |
transcript.pyannote[1807].end |
10155.89534375 |
transcript.pyannote[1808].speaker |
SPEAKER_00 |
transcript.pyannote[1808].start |
10157.09346875 |
transcript.pyannote[1808].end |
10159.57409375 |
transcript.pyannote[1809].speaker |
SPEAKER_00 |
transcript.pyannote[1809].start |
10160.01284375 |
transcript.pyannote[1809].end |
10160.75534375 |
transcript.pyannote[1810].speaker |
SPEAKER_00 |
transcript.pyannote[1810].start |
10161.17721875 |
transcript.pyannote[1810].end |
10163.28659375 |
transcript.pyannote[1811].speaker |
SPEAKER_00 |
transcript.pyannote[1811].start |
10163.79284375 |
transcript.pyannote[1811].end |
10167.67409375 |
transcript.pyannote[1812].speaker |
SPEAKER_00 |
transcript.pyannote[1812].start |
10168.16346875 |
transcript.pyannote[1812].end |
10179.06471875 |
transcript.pyannote[1813].speaker |
SPEAKER_00 |
transcript.pyannote[1813].start |
10179.82409375 |
transcript.pyannote[1813].end |
10184.53221875 |
transcript.pyannote[1814].speaker |
SPEAKER_00 |
transcript.pyannote[1814].start |
10185.03846875 |
transcript.pyannote[1814].end |
10187.33346875 |
transcript.pyannote[1815].speaker |
SPEAKER_00 |
transcript.pyannote[1815].start |
10188.53159375 |
transcript.pyannote[1815].end |
10189.59471875 |
transcript.pyannote[1816].speaker |
SPEAKER_20 |
transcript.pyannote[1816].start |
10189.30784375 |
transcript.pyannote[1816].end |
10204.78221875 |
transcript.pyannote[1817].speaker |
SPEAKER_00 |
transcript.pyannote[1817].start |
10190.30346875 |
transcript.pyannote[1817].end |
10191.99096875 |
transcript.pyannote[1818].speaker |
SPEAKER_00 |
transcript.pyannote[1818].start |
10201.57596875 |
transcript.pyannote[1818].end |
10201.86284375 |
transcript.pyannote[1819].speaker |
SPEAKER_00 |
transcript.pyannote[1819].start |
10202.80784375 |
transcript.pyannote[1819].end |
10211.09346875 |
transcript.pyannote[1820].speaker |
SPEAKER_20 |
transcript.pyannote[1820].start |
10207.70159375 |
transcript.pyannote[1820].end |
10208.66346875 |
transcript.pyannote[1821].speaker |
SPEAKER_20 |
transcript.pyannote[1821].start |
10210.67159375 |
transcript.pyannote[1821].end |
10214.50221875 |
transcript.pyannote[1822].speaker |
SPEAKER_00 |
transcript.pyannote[1822].start |
10213.97909375 |
transcript.pyannote[1822].end |
10215.70034375 |
transcript.pyannote[1823].speaker |
SPEAKER_20 |
transcript.pyannote[1823].start |
10215.36284375 |
transcript.pyannote[1823].end |
10220.59409375 |
transcript.pyannote[1824].speaker |
SPEAKER_20 |
transcript.pyannote[1824].start |
10220.79659375 |
transcript.pyannote[1824].end |
10229.55471875 |
transcript.pyannote[1825].speaker |
SPEAKER_00 |
transcript.pyannote[1825].start |
10226.83784375 |
transcript.pyannote[1825].end |
10241.33346875 |
transcript.pyannote[1826].speaker |
SPEAKER_20 |
transcript.pyannote[1826].start |
10231.10721875 |
transcript.pyannote[1826].end |
10231.17471875 |
transcript.pyannote[1827].speaker |
SPEAKER_27 |
transcript.pyannote[1827].start |
10231.17471875 |
transcript.pyannote[1827].end |
10231.96784375 |
transcript.pyannote[1828].speaker |
SPEAKER_00 |
transcript.pyannote[1828].start |
10241.92409375 |
transcript.pyannote[1828].end |
10246.07534375 |
transcript.pyannote[1829].speaker |
SPEAKER_00 |
transcript.pyannote[1829].start |
10246.78409375 |
transcript.pyannote[1829].end |
10248.28596875 |
transcript.pyannote[1830].speaker |
SPEAKER_00 |
transcript.pyannote[1830].start |
10248.60659375 |
transcript.pyannote[1830].end |
10251.82971875 |
transcript.pyannote[1831].speaker |
SPEAKER_00 |
transcript.pyannote[1831].start |
10252.38659375 |
transcript.pyannote[1831].end |
10256.75721875 |
transcript.pyannote[1832].speaker |
SPEAKER_00 |
transcript.pyannote[1832].start |
10257.12846875 |
transcript.pyannote[1832].end |
10258.64721875 |
transcript.pyannote[1833].speaker |
SPEAKER_00 |
transcript.pyannote[1833].start |
10259.40659375 |
transcript.pyannote[1833].end |
10272.23159375 |
transcript.pyannote[1834].speaker |
SPEAKER_00 |
transcript.pyannote[1834].start |
10272.83909375 |
transcript.pyannote[1834].end |
10274.25659375 |
transcript.pyannote[1835].speaker |
SPEAKER_20 |
transcript.pyannote[1835].start |
10274.72909375 |
transcript.pyannote[1835].end |
10284.04409375 |
transcript.pyannote[1836].speaker |
SPEAKER_00 |
transcript.pyannote[1836].start |
10281.66471875 |
transcript.pyannote[1836].end |
10294.96221875 |
transcript.pyannote[1837].speaker |
SPEAKER_20 |
transcript.pyannote[1837].start |
10295.73846875 |
transcript.pyannote[1837].end |
10306.25159375 |
transcript.pyannote[1838].speaker |
SPEAKER_00 |
transcript.pyannote[1838].start |
10304.58096875 |
transcript.pyannote[1838].end |
10316.22471875 |
transcript.pyannote[1839].speaker |
SPEAKER_20 |
transcript.pyannote[1839].start |
10306.31909375 |
transcript.pyannote[1839].end |
10309.17096875 |
transcript.pyannote[1840].speaker |
SPEAKER_20 |
transcript.pyannote[1840].start |
10315.33034375 |
transcript.pyannote[1840].end |
10319.27909375 |
transcript.pyannote[1841].speaker |
SPEAKER_00 |
transcript.pyannote[1841].start |
10317.74346875 |
transcript.pyannote[1841].end |
10328.44221875 |
transcript.pyannote[1842].speaker |
SPEAKER_20 |
transcript.pyannote[1842].start |
10321.43909375 |
transcript.pyannote[1842].end |
10324.61159375 |
transcript.pyannote[1843].speaker |
SPEAKER_20 |
transcript.pyannote[1843].start |
10329.13409375 |
transcript.pyannote[1843].end |
10336.08659375 |
transcript.pyannote[1844].speaker |
SPEAKER_00 |
transcript.pyannote[1844].start |
10333.15034375 |
transcript.pyannote[1844].end |
10334.33159375 |
transcript.pyannote[1845].speaker |
SPEAKER_00 |
transcript.pyannote[1845].start |
10335.68159375 |
transcript.pyannote[1845].end |
10338.46596875 |
transcript.pyannote[1846].speaker |
SPEAKER_20 |
transcript.pyannote[1846].start |
10338.11159375 |
transcript.pyannote[1846].end |
10341.94221875 |
transcript.pyannote[1847].speaker |
SPEAKER_00 |
transcript.pyannote[1847].start |
10341.43596875 |
transcript.pyannote[1847].end |
10344.35534375 |
transcript.pyannote[1848].speaker |
SPEAKER_00 |
transcript.pyannote[1848].start |
10344.64221875 |
transcript.pyannote[1848].end |
10348.54034375 |
transcript.pyannote[1849].speaker |
SPEAKER_20 |
transcript.pyannote[1849].start |
10345.33409375 |
transcript.pyannote[1849].end |
10345.35096875 |
transcript.pyannote[1850].speaker |
SPEAKER_20 |
transcript.pyannote[1850].start |
10345.36784375 |
transcript.pyannote[1850].end |
10345.40159375 |
transcript.pyannote[1851].speaker |
SPEAKER_20 |
transcript.pyannote[1851].start |
10345.50284375 |
transcript.pyannote[1851].end |
10345.51971875 |
transcript.pyannote[1852].speaker |
SPEAKER_20 |
transcript.pyannote[1852].start |
10349.14784375 |
transcript.pyannote[1852].end |
10352.72534375 |
transcript.pyannote[1853].speaker |
SPEAKER_00 |
transcript.pyannote[1853].start |
10350.22784375 |
transcript.pyannote[1853].end |
10374.76409375 |
transcript.pyannote[1854].speaker |
SPEAKER_00 |
transcript.pyannote[1854].start |
10376.36721875 |
transcript.pyannote[1854].end |
10380.67034375 |
transcript.pyannote[1855].speaker |
SPEAKER_00 |
transcript.pyannote[1855].start |
10381.44659375 |
transcript.pyannote[1855].end |
10383.45471875 |
transcript.pyannote[1856].speaker |
SPEAKER_08 |
transcript.pyannote[1856].start |
10383.45471875 |
transcript.pyannote[1856].end |
10383.47159375 |
transcript.pyannote[1857].speaker |
SPEAKER_00 |
transcript.pyannote[1857].start |
10386.00284375 |
transcript.pyannote[1857].end |
10386.03659375 |
transcript.pyannote[1858].speaker |
SPEAKER_08 |
transcript.pyannote[1858].start |
10386.03659375 |
transcript.pyannote[1858].end |
10391.40284375 |
transcript.pyannote[1859].speaker |
SPEAKER_00 |
transcript.pyannote[1859].start |
10388.78721875 |
transcript.pyannote[1859].end |
10390.03596875 |
transcript.pyannote[1860].speaker |
SPEAKER_00 |
transcript.pyannote[1860].start |
10391.40284375 |
transcript.pyannote[1860].end |
10394.32221875 |
transcript.pyannote[1861].speaker |
SPEAKER_08 |
transcript.pyannote[1861].start |
10391.43659375 |
transcript.pyannote[1861].end |
10391.62221875 |
transcript.pyannote[1862].speaker |
SPEAKER_00 |
transcript.pyannote[1862].start |
10395.26721875 |
transcript.pyannote[1862].end |
10395.87471875 |
transcript.pyannote[1863].speaker |
SPEAKER_00 |
transcript.pyannote[1863].start |
10396.71846875 |
transcript.pyannote[1863].end |
10397.84909375 |
transcript.pyannote[1864].speaker |
SPEAKER_00 |
transcript.pyannote[1864].start |
10398.70971875 |
transcript.pyannote[1864].end |
10399.62096875 |
transcript.pyannote[1865].speaker |
SPEAKER_00 |
transcript.pyannote[1865].start |
10400.24534375 |
transcript.pyannote[1865].end |
10401.59534375 |
transcript.pyannote[1866].speaker |
SPEAKER_00 |
transcript.pyannote[1866].start |
10401.64596875 |
transcript.pyannote[1866].end |
10402.59096875 |
transcript.pyannote[1867].speaker |
SPEAKER_00 |
transcript.pyannote[1867].start |
10402.94534375 |
transcript.pyannote[1867].end |
10411.45034375 |
transcript.pyannote[1868].speaker |
SPEAKER_00 |
transcript.pyannote[1868].start |
10411.83846875 |
transcript.pyannote[1868].end |
10421.15346875 |
transcript.pyannote[1869].speaker |
SPEAKER_00 |
transcript.pyannote[1869].start |
10421.77784375 |
transcript.pyannote[1869].end |
10425.35534375 |
transcript.pyannote[1870].speaker |
SPEAKER_00 |
transcript.pyannote[1870].start |
10425.84471875 |
transcript.pyannote[1870].end |
10428.56159375 |
transcript.pyannote[1871].speaker |
SPEAKER_00 |
transcript.pyannote[1871].start |
10428.84846875 |
transcript.pyannote[1871].end |
10430.11409375 |
transcript.pyannote[1872].speaker |
SPEAKER_00 |
transcript.pyannote[1872].start |
10430.99159375 |
transcript.pyannote[1872].end |
10434.73784375 |
transcript.pyannote[1873].speaker |
SPEAKER_00 |
transcript.pyannote[1873].start |
10435.36221875 |
transcript.pyannote[1873].end |
10436.66159375 |
transcript.pyannote[1874].speaker |
SPEAKER_00 |
transcript.pyannote[1874].start |
10437.72471875 |
transcript.pyannote[1874].end |
10439.37846875 |
transcript.pyannote[1875].speaker |
SPEAKER_00 |
transcript.pyannote[1875].start |
10439.88471875 |
transcript.pyannote[1875].end |
10441.67346875 |
transcript.pyannote[1876].speaker |
SPEAKER_00 |
transcript.pyannote[1876].start |
10442.26409375 |
transcript.pyannote[1876].end |
10442.80409375 |
transcript.pyannote[1877].speaker |
SPEAKER_00 |
transcript.pyannote[1877].start |
10442.85471875 |
transcript.pyannote[1877].end |
10445.33534375 |
transcript.pyannote[1878].speaker |
SPEAKER_00 |
transcript.pyannote[1878].start |
10445.94284375 |
transcript.pyannote[1878].end |
10449.03096875 |
transcript.pyannote[1879].speaker |
SPEAKER_00 |
transcript.pyannote[1879].start |
10449.46971875 |
transcript.pyannote[1879].end |
10452.87846875 |
transcript.pyannote[1880].speaker |
SPEAKER_00 |
transcript.pyannote[1880].start |
10453.23284375 |
transcript.pyannote[1880].end |
10457.36721875 |
transcript.pyannote[1881].speaker |
SPEAKER_00 |
transcript.pyannote[1881].start |
10458.21096875 |
transcript.pyannote[1881].end |
10463.42534375 |
transcript.pyannote[1882].speaker |
SPEAKER_00 |
transcript.pyannote[1882].start |
10463.67846875 |
transcript.pyannote[1882].end |
10464.42096875 |
transcript.pyannote[1883].speaker |
SPEAKER_22 |
transcript.pyannote[1883].start |
10467.88034375 |
transcript.pyannote[1883].end |
10469.44971875 |
transcript.pyannote[1884].speaker |
SPEAKER_22 |
transcript.pyannote[1884].start |
10470.76596875 |
transcript.pyannote[1884].end |
10472.84159375 |
transcript.pyannote[1885].speaker |
SPEAKER_05 |
transcript.pyannote[1885].start |
10478.14034375 |
transcript.pyannote[1885].end |
10479.52409375 |
transcript.pyannote[1886].speaker |
SPEAKER_22 |
transcript.pyannote[1886].start |
10479.74346875 |
transcript.pyannote[1886].end |
10480.48596875 |
transcript.pyannote[1887].speaker |
SPEAKER_05 |
transcript.pyannote[1887].start |
10485.02534375 |
transcript.pyannote[1887].end |
10486.07159375 |
transcript.pyannote[1888].speaker |
SPEAKER_21 |
transcript.pyannote[1888].start |
10485.90284375 |
transcript.pyannote[1888].end |
10485.91971875 |
transcript.pyannote[1889].speaker |
SPEAKER_20 |
transcript.pyannote[1889].start |
10485.91971875 |
transcript.pyannote[1889].end |
10486.94909375 |
transcript.pyannote[1890].speaker |
SPEAKER_05 |
transcript.pyannote[1890].start |
10486.54409375 |
transcript.pyannote[1890].end |
10513.08846875 |
transcript.pyannote[1891].speaker |
SPEAKER_13 |
transcript.pyannote[1891].start |
10493.69909375 |
transcript.pyannote[1891].end |
10493.71596875 |
transcript.pyannote[1892].speaker |
SPEAKER_20 |
transcript.pyannote[1892].start |
10493.71596875 |
transcript.pyannote[1892].end |
10493.96909375 |
transcript.pyannote[1893].speaker |
SPEAKER_13 |
transcript.pyannote[1893].start |
10493.96909375 |
transcript.pyannote[1893].end |
10494.25596875 |
transcript.pyannote[1894].speaker |
SPEAKER_20 |
transcript.pyannote[1894].start |
10494.25596875 |
transcript.pyannote[1894].end |
10494.27284375 |
transcript.pyannote[1895].speaker |
SPEAKER_00 |
transcript.pyannote[1895].start |
10494.27284375 |
transcript.pyannote[1895].end |
10494.28971875 |
transcript.pyannote[1896].speaker |
SPEAKER_05 |
transcript.pyannote[1896].start |
10513.22346875 |
transcript.pyannote[1896].end |
10528.39409375 |
transcript.pyannote[1897].speaker |
SPEAKER_05 |
transcript.pyannote[1897].start |
10528.56284375 |
transcript.pyannote[1897].end |
10530.21659375 |
transcript.pyannote[1898].speaker |
SPEAKER_27 |
transcript.pyannote[1898].start |
10529.89596875 |
transcript.pyannote[1898].end |
10530.03096875 |
transcript.pyannote[1899].speaker |
SPEAKER_20 |
transcript.pyannote[1899].start |
10530.03096875 |
transcript.pyannote[1899].end |
10530.19971875 |
transcript.pyannote[1900].speaker |
SPEAKER_20 |
transcript.pyannote[1900].start |
10530.21659375 |
transcript.pyannote[1900].end |
10530.41909375 |
transcript.pyannote[1901].speaker |
SPEAKER_05 |
transcript.pyannote[1901].start |
10530.30096875 |
transcript.pyannote[1901].end |
10534.51971875 |
transcript.pyannote[1902].speaker |
SPEAKER_31 |
transcript.pyannote[1902].start |
10534.51971875 |
transcript.pyannote[1902].end |
10534.55346875 |
transcript.pyannote[1903].speaker |
SPEAKER_31 |
transcript.pyannote[1903].start |
10534.68846875 |
transcript.pyannote[1903].end |
10534.77284375 |
transcript.pyannote[1904].speaker |
SPEAKER_20 |
transcript.pyannote[1904].start |
10535.16096875 |
transcript.pyannote[1904].end |
10536.81471875 |
transcript.pyannote[1905].speaker |
SPEAKER_31 |
transcript.pyannote[1905].start |
10536.81471875 |
transcript.pyannote[1905].end |
10544.96534375 |
transcript.pyannote[1906].speaker |
SPEAKER_20 |
transcript.pyannote[1906].start |
10537.38846875 |
transcript.pyannote[1906].end |
10537.60784375 |
transcript.pyannote[1907].speaker |
SPEAKER_05 |
transcript.pyannote[1907].start |
10544.96534375 |
transcript.pyannote[1907].end |
10557.55409375 |
transcript.pyannote[1908].speaker |
SPEAKER_31 |
transcript.pyannote[1908].start |
10555.19159375 |
transcript.pyannote[1908].end |
10555.66409375 |
transcript.pyannote[1909].speaker |
SPEAKER_31 |
transcript.pyannote[1909].start |
10557.68909375 |
transcript.pyannote[1909].end |
10562.63346875 |
transcript.pyannote[1910].speaker |
SPEAKER_31 |
transcript.pyannote[1910].start |
10562.80221875 |
transcript.pyannote[1910].end |
10566.97034375 |
transcript.pyannote[1911].speaker |
SPEAKER_05 |
transcript.pyannote[1911].start |
10566.97034375 |
transcript.pyannote[1911].end |
10570.29471875 |
transcript.pyannote[1912].speaker |
SPEAKER_05 |
transcript.pyannote[1912].start |
10570.42971875 |
transcript.pyannote[1912].end |
10570.48034375 |
transcript.pyannote[1913].speaker |
SPEAKER_31 |
transcript.pyannote[1913].start |
10570.48034375 |
transcript.pyannote[1913].end |
10570.81784375 |
transcript.pyannote[1914].speaker |
SPEAKER_05 |
transcript.pyannote[1914].start |
10570.49721875 |
transcript.pyannote[1914].end |
10570.78409375 |
transcript.pyannote[1915].speaker |
SPEAKER_05 |
transcript.pyannote[1915].start |
10570.81784375 |
transcript.pyannote[1915].end |
10573.95659375 |
transcript.pyannote[1916].speaker |
SPEAKER_31 |
transcript.pyannote[1916].start |
10573.12971875 |
transcript.pyannote[1916].end |
10573.19721875 |
transcript.pyannote[1917].speaker |
SPEAKER_31 |
transcript.pyannote[1917].start |
10573.26471875 |
transcript.pyannote[1917].end |
10573.78784375 |
transcript.pyannote[1918].speaker |
SPEAKER_31 |
transcript.pyannote[1918].start |
10573.95659375 |
transcript.pyannote[1918].end |
10574.44596875 |
transcript.pyannote[1919].speaker |
SPEAKER_05 |
transcript.pyannote[1919].start |
10574.34471875 |
transcript.pyannote[1919].end |
10611.38534375 |
transcript.pyannote[1920].speaker |
SPEAKER_31 |
transcript.pyannote[1920].start |
10612.43159375 |
transcript.pyannote[1920].end |
10612.60034375 |
transcript.pyannote[1921].speaker |
SPEAKER_31 |
transcript.pyannote[1921].start |
10613.08971875 |
transcript.pyannote[1921].end |
10621.05471875 |
transcript.pyannote[1922].speaker |
SPEAKER_31 |
transcript.pyannote[1922].start |
10621.08846875 |
transcript.pyannote[1922].end |
10622.92784375 |
transcript.pyannote[1923].speaker |
SPEAKER_05 |
transcript.pyannote[1923].start |
10621.18971875 |
transcript.pyannote[1923].end |
10621.76346875 |
transcript.pyannote[1924].speaker |
SPEAKER_05 |
transcript.pyannote[1924].start |
10622.35409375 |
transcript.pyannote[1924].end |
10622.43846875 |
transcript.pyannote[1925].speaker |
SPEAKER_31 |
transcript.pyannote[1925].start |
10623.16409375 |
transcript.pyannote[1925].end |
10638.68909375 |
transcript.pyannote[1926].speaker |
SPEAKER_05 |
transcript.pyannote[1926].start |
10638.68909375 |
transcript.pyannote[1926].end |
10661.20034375 |
transcript.pyannote[1927].speaker |
SPEAKER_05 |
transcript.pyannote[1927].start |
10661.65596875 |
transcript.pyannote[1927].end |
10669.87409375 |
transcript.pyannote[1928].speaker |
SPEAKER_20 |
transcript.pyannote[1928].start |
10669.63784375 |
transcript.pyannote[1928].end |
10675.79721875 |
transcript.pyannote[1929].speaker |
SPEAKER_05 |
transcript.pyannote[1929].start |
10675.81409375 |
transcript.pyannote[1929].end |
10705.39596875 |
transcript.pyannote[1930].speaker |
SPEAKER_27 |
transcript.pyannote[1930].start |
10686.07409375 |
transcript.pyannote[1930].end |
10686.42846875 |
transcript.pyannote[1931].speaker |
SPEAKER_27 |
transcript.pyannote[1931].start |
10686.44534375 |
transcript.pyannote[1931].end |
10686.46221875 |
transcript.pyannote[1932].speaker |
SPEAKER_05 |
transcript.pyannote[1932].start |
10705.76721875 |
transcript.pyannote[1932].end |
10711.23471875 |
transcript.pyannote[1933].speaker |
SPEAKER_20 |
transcript.pyannote[1933].start |
10711.23471875 |
transcript.pyannote[1933].end |
10713.29346875 |
transcript.pyannote[1934].speaker |
SPEAKER_05 |
transcript.pyannote[1934].start |
10713.29346875 |
transcript.pyannote[1934].end |
10734.42096875 |
transcript.pyannote[1935].speaker |
SPEAKER_20 |
transcript.pyannote[1935].start |
10734.03284375 |
transcript.pyannote[1935].end |
10735.77096875 |
transcript.pyannote[1936].speaker |
SPEAKER_05 |
transcript.pyannote[1936].start |
10735.36596875 |
transcript.pyannote[1936].end |
10749.77721875 |
transcript.pyannote[1937].speaker |
SPEAKER_24 |
transcript.pyannote[1937].start |
10748.52846875 |
transcript.pyannote[1937].end |
10750.01346875 |
transcript.pyannote[1938].speaker |
SPEAKER_05 |
transcript.pyannote[1938].start |
10749.82784375 |
transcript.pyannote[1938].end |
10760.62784375 |
transcript.pyannote[1939].speaker |
SPEAKER_05 |
transcript.pyannote[1939].start |
10761.11721875 |
transcript.pyannote[1939].end |
10761.89346875 |
transcript.pyannote[1940].speaker |
SPEAKER_05 |
transcript.pyannote[1940].start |
10762.18034375 |
transcript.pyannote[1940].end |
10762.63596875 |
transcript.pyannote[1941].speaker |
SPEAKER_05 |
transcript.pyannote[1941].start |
10763.66534375 |
transcript.pyannote[1941].end |
10767.86721875 |
transcript.pyannote[1942].speaker |
SPEAKER_20 |
transcript.pyannote[1942].start |
10767.86721875 |
transcript.pyannote[1942].end |
10774.29659375 |
transcript.pyannote[1943].speaker |
SPEAKER_20 |
transcript.pyannote[1943].start |
10774.49909375 |
transcript.pyannote[1943].end |
10783.64534375 |
transcript.pyannote[1944].speaker |
SPEAKER_05 |
transcript.pyannote[1944].start |
10783.61159375 |
transcript.pyannote[1944].end |
10834.27034375 |
transcript.pyannote[1945].speaker |
SPEAKER_20 |
transcript.pyannote[1945].start |
10786.19346875 |
transcript.pyannote[1945].end |
10787.00346875 |
transcript.pyannote[1946].speaker |
SPEAKER_20 |
transcript.pyannote[1946].start |
10789.07909375 |
transcript.pyannote[1946].end |
10789.39971875 |
transcript.pyannote[1947].speaker |
SPEAKER_08 |
transcript.pyannote[1947].start |
10798.22534375 |
transcript.pyannote[1947].end |
10798.93409375 |
transcript.pyannote[1948].speaker |
SPEAKER_24 |
transcript.pyannote[1948].start |
10808.14784375 |
transcript.pyannote[1948].end |
10808.36721875 |
transcript.pyannote[1949].speaker |
SPEAKER_24 |
transcript.pyannote[1949].start |
10808.40096875 |
transcript.pyannote[1949].end |
10809.14346875 |
transcript.pyannote[1950].speaker |
SPEAKER_20 |
transcript.pyannote[1950].start |
10834.69221875 |
transcript.pyannote[1950].end |
10849.08659375 |
transcript.pyannote[1951].speaker |
SPEAKER_05 |
transcript.pyannote[1951].start |
10848.83346875 |
transcript.pyannote[1951].end |
10859.11034375 |
transcript.pyannote[1952].speaker |
SPEAKER_20 |
transcript.pyannote[1952].start |
10851.07784375 |
transcript.pyannote[1952].end |
10851.48284375 |
transcript.pyannote[1953].speaker |
SPEAKER_20 |
transcript.pyannote[1953].start |
10858.35096875 |
transcript.pyannote[1953].end |
10863.49784375 |
transcript.pyannote[1954].speaker |
SPEAKER_05 |
transcript.pyannote[1954].start |
10860.20721875 |
transcript.pyannote[1954].end |
10860.51096875 |
transcript.pyannote[1955].speaker |
SPEAKER_05 |
transcript.pyannote[1955].start |
10860.61221875 |
transcript.pyannote[1955].end |
10869.25221875 |
transcript.pyannote[1956].speaker |
SPEAKER_01 |
transcript.pyannote[1956].start |
10868.67846875 |
transcript.pyannote[1956].end |
10869.62346875 |
transcript.pyannote[1957].speaker |
SPEAKER_05 |
transcript.pyannote[1957].start |
10869.62346875 |
transcript.pyannote[1957].end |
10882.98846875 |
transcript.pyannote[1958].speaker |
SPEAKER_20 |
transcript.pyannote[1958].start |
10882.80284375 |
transcript.pyannote[1958].end |
10907.54159375 |
transcript.pyannote[1959].speaker |
SPEAKER_05 |
transcript.pyannote[1959].start |
10907.28846875 |
transcript.pyannote[1959].end |
10911.84471875 |
transcript.pyannote[1960].speaker |
SPEAKER_20 |
transcript.pyannote[1960].start |
10911.69284375 |
transcript.pyannote[1960].end |
10914.73034375 |
transcript.pyannote[1961].speaker |
SPEAKER_05 |
transcript.pyannote[1961].start |
10914.42659375 |
transcript.pyannote[1961].end |
10916.58659375 |
transcript.pyannote[1962].speaker |
SPEAKER_20 |
transcript.pyannote[1962].start |
10916.40096875 |
transcript.pyannote[1962].end |
10916.72159375 |
transcript.pyannote[1963].speaker |
SPEAKER_05 |
transcript.pyannote[1963].start |
10916.72159375 |
transcript.pyannote[1963].end |
10923.47159375 |
transcript.pyannote[1964].speaker |
SPEAKER_20 |
transcript.pyannote[1964].start |
10920.68721875 |
transcript.pyannote[1964].end |
10921.63221875 |
transcript.pyannote[1965].speaker |
SPEAKER_20 |
transcript.pyannote[1965].start |
10922.32409375 |
transcript.pyannote[1965].end |
10923.55596875 |
transcript.pyannote[1966].speaker |
SPEAKER_05 |
transcript.pyannote[1966].start |
10923.55596875 |
transcript.pyannote[1966].end |
10923.57284375 |
transcript.pyannote[1967].speaker |
SPEAKER_20 |
transcript.pyannote[1967].start |
10923.57284375 |
transcript.pyannote[1967].end |
10923.58971875 |
transcript.pyannote[1968].speaker |
SPEAKER_05 |
transcript.pyannote[1968].start |
10923.58971875 |
transcript.pyannote[1968].end |
10923.62346875 |
transcript.pyannote[1969].speaker |
SPEAKER_20 |
transcript.pyannote[1969].start |
10923.62346875 |
transcript.pyannote[1969].end |
10934.15346875 |
transcript.pyannote[1970].speaker |
SPEAKER_05 |
transcript.pyannote[1970].start |
10933.74846875 |
transcript.pyannote[1970].end |
10944.07596875 |
transcript.pyannote[1971].speaker |
SPEAKER_20 |
transcript.pyannote[1971].start |
10937.88284375 |
transcript.pyannote[1971].end |
10937.89971875 |
transcript.pyannote[1972].speaker |
SPEAKER_20 |
transcript.pyannote[1972].start |
10937.93346875 |
transcript.pyannote[1972].end |
10937.98409375 |
transcript.pyannote[1973].speaker |
SPEAKER_05 |
transcript.pyannote[1973].start |
10944.39659375 |
transcript.pyannote[1973].end |
10949.56034375 |
transcript.pyannote[1974].speaker |
SPEAKER_05 |
transcript.pyannote[1974].start |
10949.89784375 |
transcript.pyannote[1974].end |
10951.11284375 |
transcript.pyannote[1975].speaker |
SPEAKER_20 |
transcript.pyannote[1975].start |
10950.10034375 |
transcript.pyannote[1975].end |
10950.21846875 |
transcript.pyannote[1976].speaker |
SPEAKER_20 |
transcript.pyannote[1976].start |
10951.16346875 |
transcript.pyannote[1976].end |
10957.86284375 |
transcript.pyannote[1977].speaker |
SPEAKER_05 |
transcript.pyannote[1977].start |
10957.86284375 |
transcript.pyannote[1977].end |
10983.98534375 |
transcript.pyannote[1978].speaker |
SPEAKER_27 |
transcript.pyannote[1978].start |
10980.50909375 |
transcript.pyannote[1978].end |
10981.23471875 |
transcript.pyannote[1979].speaker |
SPEAKER_05 |
transcript.pyannote[1979].start |
10984.22159375 |
transcript.pyannote[1979].end |
11002.14284375 |
transcript.pyannote[1980].speaker |
SPEAKER_24 |
transcript.pyannote[1980].start |
11001.29909375 |
transcript.pyannote[1980].end |
11001.31596875 |
transcript.pyannote[1981].speaker |
SPEAKER_20 |
transcript.pyannote[1981].start |
11001.31596875 |
transcript.pyannote[1981].end |
11001.38346875 |
transcript.pyannote[1982].speaker |
SPEAKER_24 |
transcript.pyannote[1982].start |
11001.38346875 |
transcript.pyannote[1982].end |
11001.43409375 |
transcript.pyannote[1983].speaker |
SPEAKER_20 |
transcript.pyannote[1983].start |
11001.43409375 |
transcript.pyannote[1983].end |
11001.90659375 |
transcript.pyannote[1984].speaker |
SPEAKER_24 |
transcript.pyannote[1984].start |
11001.90659375 |
transcript.pyannote[1984].end |
11001.95721875 |
transcript.pyannote[1985].speaker |
SPEAKER_20 |
transcript.pyannote[1985].start |
11002.14284375 |
transcript.pyannote[1985].end |
11012.92596875 |
transcript.pyannote[1986].speaker |
SPEAKER_05 |
transcript.pyannote[1986].start |
11012.45346875 |
transcript.pyannote[1986].end |
11044.46534375 |
transcript.pyannote[1987].speaker |
SPEAKER_10 |
transcript.pyannote[1987].start |
11020.73909375 |
transcript.pyannote[1987].end |
11020.75596875 |
transcript.pyannote[1988].speaker |
SPEAKER_02 |
transcript.pyannote[1988].start |
11020.75596875 |
transcript.pyannote[1988].end |
11021.21159375 |
transcript.pyannote[1989].speaker |
SPEAKER_10 |
transcript.pyannote[1989].start |
11021.21159375 |
transcript.pyannote[1989].end |
11021.22846875 |
transcript.pyannote[1990].speaker |
SPEAKER_00 |
transcript.pyannote[1990].start |
11028.43409375 |
transcript.pyannote[1990].end |
11028.50159375 |
transcript.pyannote[1991].speaker |
SPEAKER_27 |
transcript.pyannote[1991].start |
11028.50159375 |
transcript.pyannote[1991].end |
11029.12596875 |
transcript.pyannote[1992].speaker |
SPEAKER_20 |
transcript.pyannote[1992].start |
11043.67221875 |
transcript.pyannote[1992].end |
11046.99659375 |
transcript.pyannote[1993].speaker |
SPEAKER_05 |
transcript.pyannote[1993].start |
11046.16971875 |
transcript.pyannote[1993].end |
11048.49846875 |
transcript.pyannote[1994].speaker |
SPEAKER_20 |
transcript.pyannote[1994].start |
11048.07659375 |
transcript.pyannote[1994].end |
11051.13096875 |
transcript.pyannote[1995].speaker |
SPEAKER_05 |
transcript.pyannote[1995].start |
11050.65846875 |
transcript.pyannote[1995].end |
11061.57659375 |
transcript.pyannote[1996].speaker |
SPEAKER_20 |
transcript.pyannote[1996].start |
11053.39221875 |
transcript.pyannote[1996].end |
11053.66221875 |
transcript.pyannote[1997].speaker |
SPEAKER_22 |
transcript.pyannote[1997].start |
11062.18409375 |
transcript.pyannote[1997].end |
11063.02784375 |
transcript.pyannote[1998].speaker |
SPEAKER_22 |
transcript.pyannote[1998].start |
11063.38221875 |
transcript.pyannote[1998].end |
11064.59721875 |
transcript.pyannote[1999].speaker |
SPEAKER_22 |
transcript.pyannote[1999].start |
11065.25534375 |
transcript.pyannote[1999].end |
11066.03159375 |
transcript.pyannote[2000].speaker |
SPEAKER_22 |
transcript.pyannote[2000].start |
11066.82471875 |
transcript.pyannote[2000].end |
11075.51534375 |
transcript.pyannote[2001].speaker |
SPEAKER_09 |
transcript.pyannote[2001].start |
11085.03284375 |
transcript.pyannote[2001].end |
11087.31096875 |
transcript.pyannote[2002].speaker |
SPEAKER_22 |
transcript.pyannote[2002].start |
11088.71159375 |
transcript.pyannote[2002].end |
11089.47096875 |
transcript.pyannote[2003].speaker |
SPEAKER_09 |
transcript.pyannote[2003].start |
11094.19596875 |
transcript.pyannote[2003].end |
11095.14096875 |
transcript.pyannote[2004].speaker |
SPEAKER_09 |
transcript.pyannote[2004].start |
11095.64721875 |
transcript.pyannote[2004].end |
11096.60909375 |
transcript.pyannote[2005].speaker |
SPEAKER_09 |
transcript.pyannote[2005].start |
11096.94659375 |
transcript.pyannote[2005].end |
11101.46909375 |
transcript.pyannote[2006].speaker |
SPEAKER_09 |
transcript.pyannote[2006].start |
11101.94159375 |
transcript.pyannote[2006].end |
11110.15971875 |
transcript.pyannote[2007].speaker |
SPEAKER_09 |
transcript.pyannote[2007].start |
11110.27784375 |
transcript.pyannote[2007].end |
11155.67159375 |
transcript.pyannote[2008].speaker |
SPEAKER_09 |
transcript.pyannote[2008].start |
11155.97534375 |
transcript.pyannote[2008].end |
11156.43096875 |
transcript.pyannote[2009].speaker |
SPEAKER_09 |
transcript.pyannote[2009].start |
11156.65034375 |
transcript.pyannote[2009].end |
11173.12034375 |
transcript.pyannote[2010].speaker |
SPEAKER_09 |
transcript.pyannote[2010].start |
11173.23846875 |
transcript.pyannote[2010].end |
11179.29659375 |
transcript.pyannote[2011].speaker |
SPEAKER_20 |
transcript.pyannote[2011].start |
11179.66784375 |
transcript.pyannote[2011].end |
11184.42659375 |
transcript.pyannote[2012].speaker |
SPEAKER_20 |
transcript.pyannote[2012].start |
11184.93284375 |
transcript.pyannote[2012].end |
11188.12221875 |
transcript.pyannote[2013].speaker |
SPEAKER_20 |
transcript.pyannote[2013].start |
11188.29096875 |
transcript.pyannote[2013].end |
11265.10596875 |
transcript.pyannote[2014].speaker |
SPEAKER_20 |
transcript.pyannote[2014].start |
11265.44346875 |
transcript.pyannote[2014].end |
11276.20971875 |
transcript.pyannote[2015].speaker |
SPEAKER_09 |
transcript.pyannote[2015].start |
11275.48409375 |
transcript.pyannote[2015].end |
11288.52846875 |
transcript.pyannote[2016].speaker |
SPEAKER_20 |
transcript.pyannote[2016].start |
11280.85034375 |
transcript.pyannote[2016].end |
11283.01034375 |
transcript.pyannote[2017].speaker |
SPEAKER_20 |
transcript.pyannote[2017].start |
11287.17846875 |
transcript.pyannote[2017].end |
11287.58346875 |
transcript.pyannote[2018].speaker |
SPEAKER_20 |
transcript.pyannote[2018].start |
11288.81534375 |
transcript.pyannote[2018].end |
11327.77971875 |
transcript.pyannote[2019].speaker |
SPEAKER_09 |
transcript.pyannote[2019].start |
11327.77971875 |
transcript.pyannote[2019].end |
11351.82659375 |
transcript.pyannote[2020].speaker |
SPEAKER_09 |
transcript.pyannote[2020].start |
11352.34971875 |
transcript.pyannote[2020].end |
11369.62971875 |
transcript.pyannote[2021].speaker |
SPEAKER_20 |
transcript.pyannote[2021].start |
11369.64659375 |
transcript.pyannote[2021].end |
11383.07909375 |
transcript.pyannote[2022].speaker |
SPEAKER_20 |
transcript.pyannote[2022].start |
11383.41659375 |
transcript.pyannote[2022].end |
11384.76659375 |
transcript.pyannote[2023].speaker |
SPEAKER_09 |
transcript.pyannote[2023].start |
11384.76659375 |
transcript.pyannote[2023].end |
11385.61034375 |
transcript.pyannote[2024].speaker |
SPEAKER_20 |
transcript.pyannote[2024].start |
11385.32346875 |
transcript.pyannote[2024].end |
11389.49159375 |
transcript.pyannote[2025].speaker |
SPEAKER_09 |
transcript.pyannote[2025].start |
11388.36096875 |
transcript.pyannote[2025].end |
11397.25409375 |
transcript.pyannote[2026].speaker |
SPEAKER_20 |
transcript.pyannote[2026].start |
11395.85346875 |
transcript.pyannote[2026].end |
11400.46034375 |
transcript.pyannote[2027].speaker |
SPEAKER_09 |
transcript.pyannote[2027].start |
11399.56596875 |
transcript.pyannote[2027].end |
11437.78784375 |
transcript.pyannote[2028].speaker |
SPEAKER_20 |
transcript.pyannote[2028].start |
11401.16909375 |
transcript.pyannote[2028].end |
11402.02971875 |
transcript.pyannote[2029].speaker |
SPEAKER_00 |
transcript.pyannote[2029].start |
11409.80909375 |
transcript.pyannote[2029].end |
11410.29846875 |
transcript.pyannote[2030].speaker |
SPEAKER_20 |
transcript.pyannote[2030].start |
11435.83034375 |
transcript.pyannote[2030].end |
11436.64034375 |
transcript.pyannote[2031].speaker |
SPEAKER_20 |
transcript.pyannote[2031].start |
11437.09596875 |
transcript.pyannote[2031].end |
11446.41096875 |
transcript.pyannote[2032].speaker |
SPEAKER_20 |
transcript.pyannote[2032].start |
11446.64721875 |
transcript.pyannote[2032].end |
11471.03159375 |
transcript.pyannote[2033].speaker |
SPEAKER_09 |
transcript.pyannote[2033].start |
11465.19284375 |
transcript.pyannote[2033].end |
11465.49659375 |
transcript.pyannote[2034].speaker |
SPEAKER_09 |
transcript.pyannote[2034].start |
11469.52971875 |
transcript.pyannote[2034].end |
11498.74034375 |
transcript.pyannote[2035].speaker |
SPEAKER_20 |
transcript.pyannote[2035].start |
11472.46596875 |
transcript.pyannote[2035].end |
11473.02284375 |
transcript.pyannote[2036].speaker |
SPEAKER_27 |
transcript.pyannote[2036].start |
11473.02284375 |
transcript.pyannote[2036].end |
11473.09034375 |
transcript.pyannote[2037].speaker |
SPEAKER_20 |
transcript.pyannote[2037].start |
11473.09034375 |
transcript.pyannote[2037].end |
11473.37721875 |
transcript.pyannote[2038].speaker |
SPEAKER_00 |
transcript.pyannote[2038].start |
11478.18659375 |
transcript.pyannote[2038].end |
11478.30471875 |
transcript.pyannote[2039].speaker |
SPEAKER_27 |
transcript.pyannote[2039].start |
11478.30471875 |
transcript.pyannote[2039].end |
11478.33846875 |
transcript.pyannote[2040].speaker |
SPEAKER_00 |
transcript.pyannote[2040].start |
11478.33846875 |
transcript.pyannote[2040].end |
11478.43971875 |
transcript.pyannote[2041].speaker |
SPEAKER_20 |
transcript.pyannote[2041].start |
11495.82096875 |
transcript.pyannote[2041].end |
11496.44534375 |
transcript.pyannote[2042].speaker |
SPEAKER_20 |
transcript.pyannote[2042].start |
11497.76159375 |
transcript.pyannote[2042].end |
11503.63409375 |
transcript.pyannote[2043].speaker |
SPEAKER_09 |
transcript.pyannote[2043].start |
11503.70159375 |
transcript.pyannote[2043].end |
11551.89659375 |
transcript.pyannote[2044].speaker |
SPEAKER_09 |
transcript.pyannote[2044].start |
11552.25096875 |
transcript.pyannote[2044].end |
11564.02971875 |
transcript.pyannote[2045].speaker |
SPEAKER_09 |
transcript.pyannote[2045].start |
11564.85659375 |
transcript.pyannote[2045].end |
11572.99034375 |
transcript.pyannote[2046].speaker |
SPEAKER_09 |
transcript.pyannote[2046].start |
11573.36159375 |
transcript.pyannote[2046].end |
11578.66034375 |
transcript.pyannote[2047].speaker |
SPEAKER_09 |
transcript.pyannote[2047].start |
11579.14971875 |
transcript.pyannote[2047].end |
11581.44471875 |
transcript.pyannote[2048].speaker |
SPEAKER_09 |
transcript.pyannote[2048].start |
11581.71471875 |
transcript.pyannote[2048].end |
11591.51909375 |
transcript.pyannote[2049].speaker |
SPEAKER_20 |
transcript.pyannote[2049].start |
11590.05096875 |
transcript.pyannote[2049].end |
11590.30409375 |
transcript.pyannote[2050].speaker |
SPEAKER_20 |
transcript.pyannote[2050].start |
11591.43471875 |
transcript.pyannote[2050].end |
11622.23159375 |
transcript.pyannote[2051].speaker |
SPEAKER_09 |
transcript.pyannote[2051].start |
11621.45534375 |
transcript.pyannote[2051].end |
11638.34721875 |
transcript.pyannote[2052].speaker |
SPEAKER_20 |
transcript.pyannote[2052].start |
11638.34721875 |
transcript.pyannote[2052].end |
11655.98159375 |
transcript.pyannote[2053].speaker |
SPEAKER_09 |
transcript.pyannote[2053].start |
11638.80284375 |
transcript.pyannote[2053].end |
11640.49034375 |
transcript.pyannote[2054].speaker |
SPEAKER_09 |
transcript.pyannote[2054].start |
11655.08721875 |
transcript.pyannote[2054].end |
11679.47159375 |
transcript.pyannote[2055].speaker |
SPEAKER_20 |
transcript.pyannote[2055].start |
11659.72784375 |
transcript.pyannote[2055].end |
11660.11596875 |
transcript.pyannote[2056].speaker |
SPEAKER_27 |
transcript.pyannote[2056].start |
11660.11596875 |
transcript.pyannote[2056].end |
11660.13284375 |
transcript.pyannote[2057].speaker |
SPEAKER_00 |
transcript.pyannote[2057].start |
11666.89971875 |
transcript.pyannote[2057].end |
11667.32159375 |
transcript.pyannote[2058].speaker |
SPEAKER_20 |
transcript.pyannote[2058].start |
11678.29034375 |
transcript.pyannote[2058].end |
11680.04534375 |
transcript.pyannote[2059].speaker |
SPEAKER_09 |
transcript.pyannote[2059].start |
11679.99471875 |
transcript.pyannote[2059].end |
11682.49221875 |
transcript.pyannote[2060].speaker |
SPEAKER_20 |
transcript.pyannote[2060].start |
11680.07909375 |
transcript.pyannote[2060].end |
11680.14659375 |
transcript.pyannote[2061].speaker |
SPEAKER_20 |
transcript.pyannote[2061].start |
11680.19721875 |
transcript.pyannote[2061].end |
11680.90596875 |
transcript.pyannote[2062].speaker |
SPEAKER_20 |
transcript.pyannote[2062].start |
11681.41221875 |
transcript.pyannote[2062].end |
11681.47971875 |
transcript.pyannote[2063].speaker |
SPEAKER_22 |
transcript.pyannote[2063].start |
11681.47971875 |
transcript.pyannote[2063].end |
11681.54721875 |
transcript.pyannote[2064].speaker |
SPEAKER_20 |
transcript.pyannote[2064].start |
11681.54721875 |
transcript.pyannote[2064].end |
11681.73284375 |
transcript.pyannote[2065].speaker |
SPEAKER_22 |
transcript.pyannote[2065].start |
11681.73284375 |
transcript.pyannote[2065].end |
11682.30659375 |
transcript.pyannote[2066].speaker |
SPEAKER_20 |
transcript.pyannote[2066].start |
11682.30659375 |
transcript.pyannote[2066].end |
11682.40784375 |
transcript.pyannote[2067].speaker |
SPEAKER_20 |
transcript.pyannote[2067].start |
11682.49221875 |
transcript.pyannote[2067].end |
11682.54284375 |
transcript.pyannote[2068].speaker |
SPEAKER_22 |
transcript.pyannote[2068].start |
11682.54284375 |
transcript.pyannote[2068].end |
11682.69471875 |
transcript.pyannote[2069].speaker |
SPEAKER_20 |
transcript.pyannote[2069].start |
11682.69471875 |
transcript.pyannote[2069].end |
11682.72846875 |
transcript.pyannote[2070].speaker |
SPEAKER_22 |
transcript.pyannote[2070].start |
11682.72846875 |
transcript.pyannote[2070].end |
11682.74534375 |
transcript.pyannote[2071].speaker |
SPEAKER_22 |
transcript.pyannote[2071].start |
11684.17971875 |
transcript.pyannote[2071].end |
11686.40721875 |
transcript.pyannote[2072].speaker |
SPEAKER_22 |
transcript.pyannote[2072].start |
11686.72784375 |
transcript.pyannote[2072].end |
11689.56284375 |
transcript.pyannote[2073].speaker |
SPEAKER_18 |
transcript.pyannote[2073].start |
11697.78096875 |
transcript.pyannote[2073].end |
11698.62471875 |
transcript.pyannote[2074].speaker |
SPEAKER_22 |
transcript.pyannote[2074].start |
11699.04659375 |
transcript.pyannote[2074].end |
11699.77221875 |
transcript.pyannote[2075].speaker |
SPEAKER_18 |
transcript.pyannote[2075].start |
11705.12159375 |
transcript.pyannote[2075].end |
11706.91034375 |
transcript.pyannote[2076].speaker |
SPEAKER_18 |
transcript.pyannote[2076].start |
11707.16346875 |
transcript.pyannote[2076].end |
11710.89284375 |
transcript.pyannote[2077].speaker |
SPEAKER_18 |
transcript.pyannote[2077].start |
11711.50034375 |
transcript.pyannote[2077].end |
11712.64784375 |
transcript.pyannote[2078].speaker |
SPEAKER_20 |
transcript.pyannote[2078].start |
11712.61409375 |
transcript.pyannote[2078].end |
11712.66471875 |
transcript.pyannote[2079].speaker |
SPEAKER_24 |
transcript.pyannote[2079].start |
11712.66471875 |
transcript.pyannote[2079].end |
11712.79971875 |
transcript.pyannote[2080].speaker |
SPEAKER_20 |
transcript.pyannote[2080].start |
11712.79971875 |
transcript.pyannote[2080].end |
11712.90096875 |
transcript.pyannote[2081].speaker |
SPEAKER_18 |
transcript.pyannote[2081].start |
11712.90096875 |
transcript.pyannote[2081].end |
11714.48721875 |
transcript.pyannote[2082].speaker |
SPEAKER_18 |
transcript.pyannote[2082].start |
11715.31409375 |
transcript.pyannote[2082].end |
11716.19159375 |
transcript.pyannote[2083].speaker |
SPEAKER_20 |
transcript.pyannote[2083].start |
11716.41096875 |
transcript.pyannote[2083].end |
11723.81909375 |
transcript.pyannote[2084].speaker |
SPEAKER_18 |
transcript.pyannote[2084].start |
11723.81909375 |
transcript.pyannote[2084].end |
11723.97096875 |
transcript.pyannote[2085].speaker |
SPEAKER_20 |
transcript.pyannote[2085].start |
11723.97096875 |
transcript.pyannote[2085].end |
11724.03846875 |
transcript.pyannote[2086].speaker |
SPEAKER_18 |
transcript.pyannote[2086].start |
11724.03846875 |
transcript.pyannote[2086].end |
11725.18596875 |
transcript.pyannote[2087].speaker |
SPEAKER_18 |
transcript.pyannote[2087].start |
11725.82721875 |
transcript.pyannote[2087].end |
11731.32846875 |
transcript.pyannote[2088].speaker |
SPEAKER_18 |
transcript.pyannote[2088].start |
11731.76721875 |
transcript.pyannote[2088].end |
11734.26471875 |
transcript.pyannote[2089].speaker |
SPEAKER_18 |
transcript.pyannote[2089].start |
11734.36596875 |
transcript.pyannote[2089].end |
11737.75784375 |
transcript.pyannote[2090].speaker |
SPEAKER_18 |
transcript.pyannote[2090].start |
11738.11221875 |
transcript.pyannote[2090].end |
11743.49534375 |
transcript.pyannote[2091].speaker |
SPEAKER_18 |
transcript.pyannote[2091].start |
11743.93409375 |
transcript.pyannote[2091].end |
11745.63846875 |
transcript.pyannote[2092].speaker |
SPEAKER_18 |
transcript.pyannote[2092].start |
11745.87471875 |
transcript.pyannote[2092].end |
11749.63784375 |
transcript.pyannote[2093].speaker |
SPEAKER_18 |
transcript.pyannote[2093].start |
11750.12721875 |
transcript.pyannote[2093].end |
11751.76409375 |
transcript.pyannote[2094].speaker |
SPEAKER_18 |
transcript.pyannote[2094].start |
11751.91596875 |
transcript.pyannote[2094].end |
11752.77659375 |
transcript.pyannote[2095].speaker |
SPEAKER_18 |
transcript.pyannote[2095].start |
11752.82721875 |
transcript.pyannote[2095].end |
11754.61596875 |
transcript.pyannote[2096].speaker |
SPEAKER_18 |
transcript.pyannote[2096].start |
11754.91971875 |
transcript.pyannote[2096].end |
11760.77534375 |
transcript.pyannote[2097].speaker |
SPEAKER_27 |
transcript.pyannote[2097].start |
11755.25721875 |
transcript.pyannote[2097].end |
11755.88159375 |
transcript.pyannote[2098].speaker |
SPEAKER_20 |
transcript.pyannote[2098].start |
11760.77534375 |
transcript.pyannote[2098].end |
11771.17034375 |
transcript.pyannote[2099].speaker |
SPEAKER_18 |
transcript.pyannote[2099].start |
11761.09596875 |
transcript.pyannote[2099].end |
11761.97346875 |
transcript.pyannote[2100].speaker |
SPEAKER_18 |
transcript.pyannote[2100].start |
11771.55846875 |
transcript.pyannote[2100].end |
11776.46909375 |
transcript.pyannote[2101].speaker |
SPEAKER_18 |
transcript.pyannote[2101].start |
11776.57034375 |
transcript.pyannote[2101].end |
11778.39284375 |
transcript.pyannote[2102].speaker |
SPEAKER_18 |
transcript.pyannote[2102].start |
11778.73034375 |
transcript.pyannote[2102].end |
11780.29971875 |
transcript.pyannote[2103].speaker |
SPEAKER_18 |
transcript.pyannote[2103].start |
11780.65409375 |
transcript.pyannote[2103].end |
11785.24409375 |
transcript.pyannote[2104].speaker |
SPEAKER_18 |
transcript.pyannote[2104].start |
11785.83471875 |
transcript.pyannote[2104].end |
11789.15909375 |
transcript.pyannote[2105].speaker |
SPEAKER_20 |
transcript.pyannote[2105].start |
11789.71596875 |
transcript.pyannote[2105].end |
11802.69284375 |
transcript.pyannote[2106].speaker |
SPEAKER_18 |
transcript.pyannote[2106].start |
11801.41034375 |
transcript.pyannote[2106].end |
11810.37096875 |
transcript.pyannote[2107].speaker |
SPEAKER_20 |
transcript.pyannote[2107].start |
11805.19034375 |
transcript.pyannote[2107].end |
11806.55721875 |
transcript.pyannote[2108].speaker |
SPEAKER_20 |
transcript.pyannote[2108].start |
11807.77221875 |
transcript.pyannote[2108].end |
11808.66659375 |
transcript.pyannote[2109].speaker |
SPEAKER_20 |
transcript.pyannote[2109].start |
11810.55659375 |
transcript.pyannote[2109].end |
11816.71596875 |
transcript.pyannote[2110].speaker |
SPEAKER_18 |
transcript.pyannote[2110].start |
11810.97846875 |
transcript.pyannote[2110].end |
11812.37909375 |
transcript.pyannote[2111].speaker |
SPEAKER_18 |
transcript.pyannote[2111].start |
11816.05784375 |
transcript.pyannote[2111].end |
11822.68971875 |
transcript.pyannote[2112].speaker |
SPEAKER_18 |
transcript.pyannote[2112].start |
11822.70659375 |
transcript.pyannote[2112].end |
11826.84096875 |
transcript.pyannote[2113].speaker |
SPEAKER_27 |
transcript.pyannote[2113].start |
11823.39846875 |
transcript.pyannote[2113].end |
11823.41534375 |
transcript.pyannote[2114].speaker |
SPEAKER_20 |
transcript.pyannote[2114].start |
11823.41534375 |
transcript.pyannote[2114].end |
11823.71909375 |
transcript.pyannote[2115].speaker |
SPEAKER_18 |
transcript.pyannote[2115].start |
11827.16159375 |
transcript.pyannote[2115].end |
11835.76784375 |
transcript.pyannote[2116].speaker |
SPEAKER_18 |
transcript.pyannote[2116].start |
11836.07159375 |
transcript.pyannote[2116].end |
11843.19284375 |
transcript.pyannote[2117].speaker |
SPEAKER_18 |
transcript.pyannote[2117].start |
11843.22659375 |
transcript.pyannote[2117].end |
11844.91409375 |
transcript.pyannote[2118].speaker |
SPEAKER_24 |
transcript.pyannote[2118].start |
11844.96471875 |
transcript.pyannote[2118].end |
11845.43721875 |
transcript.pyannote[2119].speaker |
SPEAKER_18 |
transcript.pyannote[2119].start |
11845.60596875 |
transcript.pyannote[2119].end |
11845.94346875 |
transcript.pyannote[2120].speaker |
SPEAKER_24 |
transcript.pyannote[2120].start |
11845.87596875 |
transcript.pyannote[2120].end |
11846.26409375 |
transcript.pyannote[2121].speaker |
SPEAKER_18 |
transcript.pyannote[2121].start |
11846.17971875 |
transcript.pyannote[2121].end |
11857.23284375 |
transcript.pyannote[2122].speaker |
SPEAKER_18 |
transcript.pyannote[2122].start |
11857.60409375 |
transcript.pyannote[2122].end |
11860.03409375 |
transcript.pyannote[2123].speaker |
SPEAKER_18 |
transcript.pyannote[2123].start |
11860.99596875 |
transcript.pyannote[2123].end |
11865.18096875 |
transcript.pyannote[2124].speaker |
SPEAKER_18 |
transcript.pyannote[2124].start |
11865.26534375 |
transcript.pyannote[2124].end |
11871.44159375 |
transcript.pyannote[2125].speaker |
SPEAKER_20 |
transcript.pyannote[2125].start |
11871.44159375 |
transcript.pyannote[2125].end |
11875.91346875 |
transcript.pyannote[2126].speaker |
SPEAKER_18 |
transcript.pyannote[2126].start |
11874.59721875 |
transcript.pyannote[2126].end |
11892.77159375 |
transcript.pyannote[2127].speaker |
SPEAKER_18 |
transcript.pyannote[2127].start |
11893.17659375 |
transcript.pyannote[2127].end |
11897.32784375 |
transcript.pyannote[2128].speaker |
SPEAKER_20 |
transcript.pyannote[2128].start |
11897.32784375 |
transcript.pyannote[2128].end |
11901.78284375 |
transcript.pyannote[2129].speaker |
SPEAKER_18 |
transcript.pyannote[2129].start |
11901.78284375 |
transcript.pyannote[2129].end |
11908.78596875 |
transcript.pyannote[2130].speaker |
SPEAKER_20 |
transcript.pyannote[2130].start |
11902.40721875 |
transcript.pyannote[2130].end |
11902.74471875 |
transcript.pyannote[2131].speaker |
SPEAKER_20 |
transcript.pyannote[2131].start |
11906.01846875 |
transcript.pyannote[2131].end |
11906.38971875 |
transcript.pyannote[2132].speaker |
SPEAKER_18 |
transcript.pyannote[2132].start |
11908.95471875 |
transcript.pyannote[2132].end |
11911.23284375 |
transcript.pyannote[2133].speaker |
SPEAKER_18 |
transcript.pyannote[2133].start |
11911.68846875 |
transcript.pyannote[2133].end |
11929.74471875 |
transcript.pyannote[2134].speaker |
SPEAKER_00 |
transcript.pyannote[2134].start |
11919.41721875 |
transcript.pyannote[2134].end |
11919.94034375 |
transcript.pyannote[2135].speaker |
SPEAKER_00 |
transcript.pyannote[2135].start |
11920.54784375 |
transcript.pyannote[2135].end |
11920.58159375 |
transcript.pyannote[2136].speaker |
SPEAKER_24 |
transcript.pyannote[2136].start |
11920.58159375 |
transcript.pyannote[2136].end |
11920.95284375 |
transcript.pyannote[2137].speaker |
SPEAKER_00 |
transcript.pyannote[2137].start |
11920.95284375 |
transcript.pyannote[2137].end |
11920.98659375 |
transcript.pyannote[2138].speaker |
SPEAKER_18 |
transcript.pyannote[2138].start |
11930.06534375 |
transcript.pyannote[2138].end |
11932.66409375 |
transcript.pyannote[2139].speaker |
SPEAKER_18 |
transcript.pyannote[2139].start |
11932.69784375 |
transcript.pyannote[2139].end |
11939.92034375 |
transcript.pyannote[2140].speaker |
SPEAKER_24 |
transcript.pyannote[2140].start |
11939.92034375 |
transcript.pyannote[2140].end |
11940.40971875 |
transcript.pyannote[2141].speaker |
SPEAKER_18 |
transcript.pyannote[2141].start |
11940.40971875 |
transcript.pyannote[2141].end |
11949.40409375 |
transcript.pyannote[2142].speaker |
SPEAKER_24 |
transcript.pyannote[2142].start |
11949.40409375 |
transcript.pyannote[2142].end |
11949.75846875 |
transcript.pyannote[2143].speaker |
SPEAKER_18 |
transcript.pyannote[2143].start |
11949.75846875 |
transcript.pyannote[2143].end |
11954.90534375 |
transcript.pyannote[2144].speaker |
SPEAKER_24 |
transcript.pyannote[2144].start |
11950.16346875 |
transcript.pyannote[2144].end |
11950.46721875 |
transcript.pyannote[2145].speaker |
SPEAKER_22 |
transcript.pyannote[2145].start |
11963.57909375 |
transcript.pyannote[2145].end |
11964.03471875 |
transcript.pyannote[2146].speaker |
SPEAKER_22 |
transcript.pyannote[2146].start |
11964.13596875 |
transcript.pyannote[2146].end |
11971.12221875 |
transcript.pyannote[2147].speaker |
SPEAKER_32 |
transcript.pyannote[2147].start |
11976.62346875 |
transcript.pyannote[2147].end |
11977.29846875 |
transcript.pyannote[2148].speaker |
SPEAKER_10 |
transcript.pyannote[2148].start |
11982.63096875 |
transcript.pyannote[2148].end |
11984.23409375 |
transcript.pyannote[2149].speaker |
SPEAKER_22 |
transcript.pyannote[2149].start |
11984.33534375 |
transcript.pyannote[2149].end |
11985.11159375 |
transcript.pyannote[2150].speaker |
SPEAKER_10 |
transcript.pyannote[2150].start |
11990.57909375 |
transcript.pyannote[2150].end |
11990.59596875 |
transcript.pyannote[2151].speaker |
SPEAKER_24 |
transcript.pyannote[2151].start |
11990.59596875 |
transcript.pyannote[2151].end |
11990.73096875 |
transcript.pyannote[2152].speaker |
SPEAKER_22 |
transcript.pyannote[2152].start |
11990.73096875 |
transcript.pyannote[2152].end |
11990.86596875 |
transcript.pyannote[2153].speaker |
SPEAKER_10 |
transcript.pyannote[2153].start |
11990.86596875 |
transcript.pyannote[2153].end |
11999.03346875 |
transcript.pyannote[2154].speaker |
SPEAKER_24 |
transcript.pyannote[2154].start |
11991.00096875 |
transcript.pyannote[2154].end |
11991.42284375 |
transcript.pyannote[2155].speaker |
SPEAKER_10 |
transcript.pyannote[2155].start |
11999.26971875 |
transcript.pyannote[2155].end |
11999.70846875 |
transcript.pyannote[2156].speaker |
SPEAKER_10 |
transcript.pyannote[2156].start |
12000.29909375 |
transcript.pyannote[2156].end |
12001.07534375 |
transcript.pyannote[2157].speaker |
SPEAKER_10 |
transcript.pyannote[2157].start |
12001.85159375 |
transcript.pyannote[2157].end |
12006.88034375 |
transcript.pyannote[2158].speaker |
SPEAKER_10 |
transcript.pyannote[2158].start |
12006.99846875 |
transcript.pyannote[2158].end |
12033.27284375 |
transcript.pyannote[2159].speaker |
SPEAKER_20 |
transcript.pyannote[2159].start |
12033.66096875 |
transcript.pyannote[2159].end |
12045.54096875 |
transcript.pyannote[2160].speaker |
SPEAKER_10 |
transcript.pyannote[2160].start |
12042.85784375 |
transcript.pyannote[2160].end |
12057.96096875 |
transcript.pyannote[2161].speaker |
SPEAKER_10 |
transcript.pyannote[2161].start |
12058.29846875 |
transcript.pyannote[2161].end |
12075.29159375 |
transcript.pyannote[2162].speaker |
SPEAKER_20 |
transcript.pyannote[2162].start |
12075.69659375 |
transcript.pyannote[2162].end |
12075.93284375 |
transcript.pyannote[2163].speaker |
SPEAKER_10 |
transcript.pyannote[2163].start |
12075.93284375 |
transcript.pyannote[2163].end |
12075.94971875 |
transcript.pyannote[2164].speaker |
SPEAKER_20 |
transcript.pyannote[2164].start |
12075.94971875 |
transcript.pyannote[2164].end |
12076.77659375 |
transcript.pyannote[2165].speaker |
SPEAKER_10 |
transcript.pyannote[2165].start |
12075.96659375 |
transcript.pyannote[2165].end |
12078.29534375 |
transcript.pyannote[2166].speaker |
SPEAKER_20 |
transcript.pyannote[2166].start |
12078.29534375 |
transcript.pyannote[2166].end |
12091.60971875 |
transcript.pyannote[2167].speaker |
SPEAKER_10 |
transcript.pyannote[2167].start |
12090.69846875 |
transcript.pyannote[2167].end |
12099.35534375 |
transcript.pyannote[2168].speaker |
SPEAKER_10 |
transcript.pyannote[2168].start |
12099.76034375 |
transcript.pyannote[2168].end |
12103.96221875 |
transcript.pyannote[2169].speaker |
SPEAKER_00 |
transcript.pyannote[2169].start |
12101.70096875 |
transcript.pyannote[2169].end |
12102.07221875 |
transcript.pyannote[2170].speaker |
SPEAKER_31 |
transcript.pyannote[2170].start |
12102.07221875 |
transcript.pyannote[2170].end |
12102.37596875 |
transcript.pyannote[2171].speaker |
SPEAKER_00 |
transcript.pyannote[2171].start |
12102.37596875 |
transcript.pyannote[2171].end |
12102.47721875 |
transcript.pyannote[2172].speaker |
SPEAKER_10 |
transcript.pyannote[2172].start |
12104.41784375 |
transcript.pyannote[2172].end |
12106.54409375 |
transcript.pyannote[2173].speaker |
SPEAKER_10 |
transcript.pyannote[2173].start |
12107.10096875 |
transcript.pyannote[2173].end |
12112.02846875 |
transcript.pyannote[2174].speaker |
SPEAKER_10 |
transcript.pyannote[2174].start |
12113.44596875 |
transcript.pyannote[2174].end |
12114.42471875 |
transcript.pyannote[2175].speaker |
SPEAKER_10 |
transcript.pyannote[2175].start |
12114.45846875 |
transcript.pyannote[2175].end |
12119.40284375 |
transcript.pyannote[2176].speaker |
SPEAKER_10 |
transcript.pyannote[2176].start |
12119.53784375 |
transcript.pyannote[2176].end |
12123.06471875 |
transcript.pyannote[2177].speaker |
SPEAKER_20 |
transcript.pyannote[2177].start |
12124.22909375 |
transcript.pyannote[2177].end |
12140.44596875 |
transcript.pyannote[2178].speaker |
SPEAKER_10 |
transcript.pyannote[2178].start |
12124.44846875 |
transcript.pyannote[2178].end |
12125.14034375 |
transcript.pyannote[2179].speaker |
SPEAKER_10 |
transcript.pyannote[2179].start |
12136.91909375 |
transcript.pyannote[2179].end |
12145.00221875 |
transcript.pyannote[2180].speaker |
SPEAKER_10 |
transcript.pyannote[2180].start |
12145.27221875 |
transcript.pyannote[2180].end |
12146.14971875 |
transcript.pyannote[2181].speaker |
SPEAKER_10 |
transcript.pyannote[2181].start |
12146.80784375 |
transcript.pyannote[2181].end |
12148.57971875 |
transcript.pyannote[2182].speaker |
SPEAKER_27 |
transcript.pyannote[2182].start |
12149.47409375 |
transcript.pyannote[2182].end |
12150.33471875 |
transcript.pyannote[2183].speaker |
SPEAKER_10 |
transcript.pyannote[2183].start |
12150.16596875 |
transcript.pyannote[2183].end |
12162.72096875 |
transcript.pyannote[2184].speaker |
SPEAKER_10 |
transcript.pyannote[2184].start |
12163.09221875 |
transcript.pyannote[2184].end |
12164.72909375 |
transcript.pyannote[2185].speaker |
SPEAKER_21 |
transcript.pyannote[2185].start |
12165.03284375 |
transcript.pyannote[2185].end |
12170.95596875 |
transcript.pyannote[2186].speaker |
SPEAKER_21 |
transcript.pyannote[2186].start |
12171.17534375 |
transcript.pyannote[2186].end |
12175.84971875 |
transcript.pyannote[2187].speaker |
SPEAKER_21 |
transcript.pyannote[2187].start |
12176.27159375 |
transcript.pyannote[2187].end |
12179.73096875 |
transcript.pyannote[2188].speaker |
SPEAKER_21 |
transcript.pyannote[2188].start |
12179.84909375 |
transcript.pyannote[2188].end |
12185.04659375 |
transcript.pyannote[2189].speaker |
SPEAKER_10 |
transcript.pyannote[2189].start |
12184.67534375 |
transcript.pyannote[2189].end |
12221.31096875 |
transcript.pyannote[2190].speaker |
SPEAKER_10 |
transcript.pyannote[2190].start |
12221.64846875 |
transcript.pyannote[2190].end |
12222.59346875 |
transcript.pyannote[2191].speaker |
SPEAKER_21 |
transcript.pyannote[2191].start |
12222.10409375 |
transcript.pyannote[2191].end |
12224.70284375 |
transcript.pyannote[2192].speaker |
SPEAKER_10 |
transcript.pyannote[2192].start |
12224.01096875 |
transcript.pyannote[2192].end |
12225.09096875 |
transcript.pyannote[2193].speaker |
SPEAKER_21 |
transcript.pyannote[2193].start |
12224.78721875 |
transcript.pyannote[2193].end |
12224.97284375 |
transcript.pyannote[2194].speaker |
SPEAKER_21 |
transcript.pyannote[2194].start |
12225.42846875 |
transcript.pyannote[2194].end |
12235.77284375 |
transcript.pyannote[2195].speaker |
SPEAKER_20 |
transcript.pyannote[2195].start |
12235.77284375 |
transcript.pyannote[2195].end |
12235.94159375 |
transcript.pyannote[2196].speaker |
SPEAKER_27 |
transcript.pyannote[2196].start |
12235.94159375 |
transcript.pyannote[2196].end |
12236.04284375 |
transcript.pyannote[2197].speaker |
SPEAKER_20 |
transcript.pyannote[2197].start |
12236.04284375 |
transcript.pyannote[2197].end |
12236.17784375 |
transcript.pyannote[2198].speaker |
SPEAKER_21 |
transcript.pyannote[2198].start |
12236.17784375 |
transcript.pyannote[2198].end |
12244.56471875 |
transcript.pyannote[2199].speaker |
SPEAKER_10 |
transcript.pyannote[2199].start |
12243.01221875 |
transcript.pyannote[2199].end |
12253.62659375 |
transcript.pyannote[2200].speaker |
SPEAKER_21 |
transcript.pyannote[2200].start |
12254.11596875 |
transcript.pyannote[2200].end |
12259.09409375 |
transcript.pyannote[2201].speaker |
SPEAKER_10 |
transcript.pyannote[2201].start |
12257.15346875 |
transcript.pyannote[2201].end |
12260.68034375 |
transcript.pyannote[2202].speaker |
SPEAKER_21 |
transcript.pyannote[2202].start |
12260.07284375 |
transcript.pyannote[2202].end |
12261.43971875 |
transcript.pyannote[2203].speaker |
SPEAKER_10 |
transcript.pyannote[2203].start |
12260.78159375 |
transcript.pyannote[2203].end |
12264.19034375 |
transcript.pyannote[2204].speaker |
SPEAKER_21 |
transcript.pyannote[2204].start |
12264.40971875 |
transcript.pyannote[2204].end |
12275.68221875 |
transcript.pyannote[2205].speaker |
SPEAKER_10 |
transcript.pyannote[2205].start |
12277.20096875 |
transcript.pyannote[2205].end |
12277.57221875 |
transcript.pyannote[2206].speaker |
SPEAKER_10 |
transcript.pyannote[2206].start |
12277.80846875 |
transcript.pyannote[2206].end |
12278.48346875 |
transcript.pyannote[2207].speaker |
SPEAKER_10 |
transcript.pyannote[2207].start |
12278.78721875 |
transcript.pyannote[2207].end |
12279.83346875 |
transcript.pyannote[2208].speaker |
SPEAKER_24 |
transcript.pyannote[2208].start |
12280.13721875 |
transcript.pyannote[2208].end |
12280.54221875 |
transcript.pyannote[2209].speaker |
SPEAKER_10 |
transcript.pyannote[2209].start |
12280.87971875 |
transcript.pyannote[2209].end |
12288.33846875 |
transcript.pyannote[2210].speaker |
SPEAKER_10 |
transcript.pyannote[2210].start |
12289.40159375 |
transcript.pyannote[2210].end |
12291.98346875 |
transcript.pyannote[2211].speaker |
SPEAKER_24 |
transcript.pyannote[2211].start |
12291.42659375 |
transcript.pyannote[2211].end |
12291.86534375 |
transcript.pyannote[2212].speaker |
SPEAKER_24 |
transcript.pyannote[2212].start |
12291.89909375 |
transcript.pyannote[2212].end |
12293.70471875 |
transcript.pyannote[2213].speaker |
SPEAKER_10 |
transcript.pyannote[2213].start |
12293.28284375 |
transcript.pyannote[2213].end |
12304.26846875 |
transcript.pyannote[2214].speaker |
SPEAKER_10 |
transcript.pyannote[2214].start |
12304.62284375 |
transcript.pyannote[2214].end |
12312.45284375 |
transcript.pyannote[2215].speaker |
SPEAKER_20 |
transcript.pyannote[2215].start |
12313.51596875 |
transcript.pyannote[2215].end |
12313.87034375 |
transcript.pyannote[2216].speaker |
SPEAKER_10 |
transcript.pyannote[2216].start |
12313.75221875 |
transcript.pyannote[2216].end |
12315.45659375 |
transcript.pyannote[2217].speaker |
SPEAKER_20 |
transcript.pyannote[2217].start |
12315.23721875 |
transcript.pyannote[2217].end |
12316.55346875 |
transcript.pyannote[2218].speaker |
SPEAKER_10 |
transcript.pyannote[2218].start |
12317.24534375 |
transcript.pyannote[2218].end |
12318.84846875 |
transcript.pyannote[2219].speaker |
SPEAKER_20 |
transcript.pyannote[2219].start |
12319.13534375 |
transcript.pyannote[2219].end |
12323.05034375 |
transcript.pyannote[2220].speaker |
SPEAKER_10 |
transcript.pyannote[2220].start |
12322.86471875 |
transcript.pyannote[2220].end |
12324.99096875 |
transcript.pyannote[2221].speaker |
SPEAKER_10 |
transcript.pyannote[2221].start |
12325.64909375 |
transcript.pyannote[2221].end |
12326.42534375 |
transcript.pyannote[2222].speaker |
SPEAKER_22 |
transcript.pyannote[2222].start |
12327.18471875 |
transcript.pyannote[2222].end |
12331.11659375 |
transcript.pyannote[2223].speaker |
SPEAKER_10 |
transcript.pyannote[2223].start |
12330.88034375 |
transcript.pyannote[2223].end |
12331.09971875 |
transcript.pyannote[2224].speaker |
SPEAKER_10 |
transcript.pyannote[2224].start |
12331.11659375 |
transcript.pyannote[2224].end |
12331.15034375 |
transcript.pyannote[2225].speaker |
SPEAKER_22 |
transcript.pyannote[2225].start |
12331.15034375 |
transcript.pyannote[2225].end |
12331.20096875 |
transcript.pyannote[2226].speaker |
SPEAKER_10 |
transcript.pyannote[2226].start |
12331.20096875 |
transcript.pyannote[2226].end |
12331.25159375 |
transcript.pyannote[2227].speaker |
SPEAKER_22 |
transcript.pyannote[2227].start |
12331.25159375 |
transcript.pyannote[2227].end |
12331.26846875 |
transcript.pyannote[2228].speaker |
SPEAKER_10 |
transcript.pyannote[2228].start |
12331.38659375 |
transcript.pyannote[2228].end |
12337.96784375 |
transcript.pyannote[2229].speaker |
SPEAKER_22 |
transcript.pyannote[2229].start |
12331.80846875 |
transcript.pyannote[2229].end |
12331.85909375 |
transcript.pyannote[2230].speaker |
SPEAKER_22 |
transcript.pyannote[2230].start |
12331.87596875 |
transcript.pyannote[2230].end |
12331.89284375 |
transcript.pyannote[2231].speaker |
SPEAKER_22 |
transcript.pyannote[2231].start |
12332.01096875 |
transcript.pyannote[2231].end |
12332.90534375 |
transcript.pyannote[2232].speaker |
SPEAKER_29 |
transcript.pyannote[2232].start |
12334.25534375 |
transcript.pyannote[2232].end |
12334.27221875 |
transcript.pyannote[2233].speaker |
SPEAKER_10 |
transcript.pyannote[2233].start |
12338.45721875 |
transcript.pyannote[2233].end |
12339.97596875 |
transcript.pyannote[2234].speaker |
SPEAKER_08 |
transcript.pyannote[2234].start |
12339.97596875 |
transcript.pyannote[2234].end |
12340.02659375 |
transcript.pyannote[2235].speaker |
SPEAKER_10 |
transcript.pyannote[2235].start |
12340.02659375 |
transcript.pyannote[2235].end |
12340.97159375 |
transcript.pyannote[2236].speaker |
SPEAKER_08 |
transcript.pyannote[2236].start |
12340.97159375 |
transcript.pyannote[2236].end |
12341.03909375 |
transcript.pyannote[2237].speaker |
SPEAKER_10 |
transcript.pyannote[2237].start |
12341.03909375 |
transcript.pyannote[2237].end |
12341.96721875 |
transcript.pyannote[2238].speaker |
SPEAKER_08 |
transcript.pyannote[2238].start |
12341.96721875 |
transcript.pyannote[2238].end |
12342.03471875 |
transcript.pyannote[2239].speaker |
SPEAKER_10 |
transcript.pyannote[2239].start |
12342.03471875 |
transcript.pyannote[2239].end |
12342.96284375 |
transcript.pyannote[2240].speaker |
SPEAKER_08 |
transcript.pyannote[2240].start |
12342.96284375 |
transcript.pyannote[2240].end |
12343.03034375 |
transcript.pyannote[2241].speaker |
SPEAKER_10 |
transcript.pyannote[2241].start |
12343.03034375 |
transcript.pyannote[2241].end |
12344.00909375 |
transcript.pyannote[2242].speaker |
SPEAKER_08 |
transcript.pyannote[2242].start |
12343.04721875 |
transcript.pyannote[2242].end |
12343.99221875 |
transcript.pyannote[2243].speaker |
SPEAKER_08 |
transcript.pyannote[2243].start |
12344.00909375 |
transcript.pyannote[2243].end |
12344.02596875 |
transcript.pyannote[2244].speaker |
SPEAKER_10 |
transcript.pyannote[2244].start |
12344.02596875 |
transcript.pyannote[2244].end |
12356.49659375 |
transcript.pyannote[2245].speaker |
SPEAKER_07 |
transcript.pyannote[2245].start |
12350.92784375 |
transcript.pyannote[2245].end |
12351.53534375 |
transcript.pyannote[2246].speaker |
SPEAKER_10 |
transcript.pyannote[2246].start |
12356.95221875 |
transcript.pyannote[2246].end |
12361.79534375 |
transcript.pyannote[2247].speaker |
SPEAKER_08 |
transcript.pyannote[2247].start |
12356.98596875 |
transcript.pyannote[2247].end |
12357.50909375 |
transcript.pyannote[2248].speaker |
SPEAKER_08 |
transcript.pyannote[2248].start |
12359.14596875 |
transcript.pyannote[2248].end |
12361.13721875 |
transcript.pyannote[2249].speaker |
SPEAKER_08 |
transcript.pyannote[2249].start |
12361.79534375 |
transcript.pyannote[2249].end |
12362.08221875 |
transcript.pyannote[2250].speaker |
SPEAKER_10 |
transcript.pyannote[2250].start |
12362.35221875 |
transcript.pyannote[2250].end |
12367.11096875 |
transcript.pyannote[2251].speaker |
SPEAKER_10 |
transcript.pyannote[2251].start |
12368.51159375 |
transcript.pyannote[2251].end |
12369.20346875 |
transcript.pyannote[2252].speaker |
SPEAKER_22 |
transcript.pyannote[2252].start |
12369.96284375 |
transcript.pyannote[2252].end |
12373.32096875 |
transcript.pyannote[2253].speaker |
SPEAKER_10 |
transcript.pyannote[2253].start |
12370.43534375 |
transcript.pyannote[2253].end |
12374.53596875 |
transcript.pyannote[2254].speaker |
SPEAKER_10 |
transcript.pyannote[2254].start |
12375.05909375 |
transcript.pyannote[2254].end |
12380.03721875 |
transcript.pyannote[2255].speaker |
SPEAKER_10 |
transcript.pyannote[2255].start |
12380.07096875 |
transcript.pyannote[2255].end |
12386.19659375 |
transcript.pyannote[2256].speaker |
SPEAKER_10 |
transcript.pyannote[2256].start |
12386.53409375 |
transcript.pyannote[2256].end |
12391.81596875 |
transcript.pyannote[2257].speaker |
SPEAKER_10 |
transcript.pyannote[2257].start |
12392.11971875 |
transcript.pyannote[2257].end |
12399.00471875 |
transcript.pyannote[2258].speaker |
SPEAKER_20 |
transcript.pyannote[2258].start |
12399.79784375 |
transcript.pyannote[2258].end |
12406.96971875 |
transcript.pyannote[2259].speaker |
SPEAKER_10 |
transcript.pyannote[2259].start |
12400.94534375 |
transcript.pyannote[2259].end |
12401.55284375 |
transcript.pyannote[2260].speaker |
SPEAKER_10 |
transcript.pyannote[2260].start |
12402.05909375 |
transcript.pyannote[2260].end |
12405.92346875 |
transcript.pyannote[2261].speaker |
SPEAKER_10 |
transcript.pyannote[2261].start |
12406.46346875 |
transcript.pyannote[2261].end |
12407.83034375 |
transcript.pyannote[2262].speaker |
SPEAKER_22 |
transcript.pyannote[2262].start |
12406.96971875 |
transcript.pyannote[2262].end |
12407.12159375 |
transcript.pyannote[2263].speaker |
SPEAKER_20 |
transcript.pyannote[2263].start |
12407.12159375 |
transcript.pyannote[2263].end |
12407.13846875 |
transcript.pyannote[2264].speaker |
SPEAKER_22 |
transcript.pyannote[2264].start |
12407.83034375 |
transcript.pyannote[2264].end |
12408.74159375 |
transcript.pyannote[2265].speaker |
SPEAKER_10 |
transcript.pyannote[2265].start |
12408.38721875 |
transcript.pyannote[2265].end |
12425.78534375 |
transcript.pyannote[2266].speaker |
SPEAKER_22 |
transcript.pyannote[2266].start |
12410.07471875 |
transcript.pyannote[2266].end |
12411.54284375 |
transcript.pyannote[2267].speaker |
SPEAKER_24 |
transcript.pyannote[2267].start |
12411.54284375 |
transcript.pyannote[2267].end |
12411.64409375 |
transcript.pyannote[2268].speaker |
SPEAKER_22 |
transcript.pyannote[2268].start |
12412.72409375 |
transcript.pyannote[2268].end |
12412.74096875 |
transcript.pyannote[2269].speaker |
SPEAKER_24 |
transcript.pyannote[2269].start |
12412.74096875 |
transcript.pyannote[2269].end |
12412.80846875 |
transcript.pyannote[2270].speaker |
SPEAKER_22 |
transcript.pyannote[2270].start |
12412.80846875 |
transcript.pyannote[2270].end |
12414.66471875 |
transcript.pyannote[2271].speaker |
SPEAKER_24 |
transcript.pyannote[2271].start |
12414.66471875 |
transcript.pyannote[2271].end |
12414.73221875 |
transcript.pyannote[2272].speaker |
SPEAKER_22 |
transcript.pyannote[2272].start |
12414.73221875 |
transcript.pyannote[2272].end |
12414.79971875 |
transcript.pyannote[2273].speaker |
SPEAKER_24 |
transcript.pyannote[2273].start |
12416.94284375 |
transcript.pyannote[2273].end |
12417.97221875 |
transcript.pyannote[2274].speaker |
SPEAKER_22 |
transcript.pyannote[2274].start |
12417.97221875 |
transcript.pyannote[2274].end |
12423.20346875 |
transcript.pyannote[2275].speaker |
SPEAKER_10 |
transcript.pyannote[2275].start |
12425.88659375 |
transcript.pyannote[2275].end |
12429.43034375 |
transcript.pyannote[2276].speaker |
SPEAKER_08 |
transcript.pyannote[2276].start |
12429.43034375 |
transcript.pyannote[2276].end |
12429.44721875 |
transcript.pyannote[2277].speaker |
SPEAKER_22 |
transcript.pyannote[2277].start |
12430.03784375 |
transcript.pyannote[2277].end |
12431.15159375 |
transcript.pyannote[2278].speaker |
SPEAKER_22 |
transcript.pyannote[2278].start |
12433.17659375 |
transcript.pyannote[2278].end |
12442.01909375 |
transcript.pyannote[2279].speaker |
SPEAKER_30 |
transcript.pyannote[2279].start |
12442.01909375 |
transcript.pyannote[2279].end |
12442.55909375 |
transcript.pyannote[2280].speaker |
SPEAKER_30 |
transcript.pyannote[2280].start |
12442.77846875 |
transcript.pyannote[2280].end |
12442.79534375 |
transcript.pyannote[2281].speaker |
SPEAKER_22 |
transcript.pyannote[2281].start |
12442.81221875 |
transcript.pyannote[2281].end |
12443.43659375 |
transcript.pyannote[2282].speaker |
SPEAKER_22 |
transcript.pyannote[2282].start |
12445.03971875 |
transcript.pyannote[2282].end |
12448.27971875 |
transcript.pyannote[2283].speaker |
SPEAKER_04 |
transcript.pyannote[2283].start |
12465.37409375 |
transcript.pyannote[2283].end |
12467.98971875 |
transcript.pyannote[2284].speaker |
SPEAKER_22 |
transcript.pyannote[2284].start |
12468.14159375 |
transcript.pyannote[2284].end |
12469.00221875 |
transcript.pyannote[2285].speaker |
SPEAKER_22 |
transcript.pyannote[2285].start |
12474.19971875 |
transcript.pyannote[2285].end |
12474.23346875 |
transcript.pyannote[2286].speaker |
SPEAKER_19 |
transcript.pyannote[2286].start |
12474.23346875 |
transcript.pyannote[2286].end |
12474.65534375 |
transcript.pyannote[2287].speaker |
SPEAKER_22 |
transcript.pyannote[2287].start |
12474.65534375 |
transcript.pyannote[2287].end |
12474.67221875 |
transcript.pyannote[2288].speaker |
SPEAKER_04 |
transcript.pyannote[2288].start |
12475.22909375 |
transcript.pyannote[2288].end |
12476.08971875 |
transcript.pyannote[2289].speaker |
SPEAKER_04 |
transcript.pyannote[2289].start |
12476.54534375 |
transcript.pyannote[2289].end |
12478.24971875 |
transcript.pyannote[2290].speaker |
SPEAKER_04 |
transcript.pyannote[2290].start |
12478.35096875 |
transcript.pyannote[2290].end |
12479.56596875 |
transcript.pyannote[2291].speaker |
SPEAKER_04 |
transcript.pyannote[2291].start |
12480.20721875 |
transcript.pyannote[2291].end |
12481.30409375 |
transcript.pyannote[2292].speaker |
SPEAKER_04 |
transcript.pyannote[2292].start |
12481.55721875 |
transcript.pyannote[2292].end |
12483.58221875 |
transcript.pyannote[2293].speaker |
SPEAKER_04 |
transcript.pyannote[2293].start |
12483.68346875 |
transcript.pyannote[2293].end |
12488.29034375 |
transcript.pyannote[2294].speaker |
SPEAKER_04 |
transcript.pyannote[2294].start |
12488.71221875 |
transcript.pyannote[2294].end |
12491.44596875 |
transcript.pyannote[2295].speaker |
SPEAKER_04 |
transcript.pyannote[2295].start |
12491.98596875 |
transcript.pyannote[2295].end |
12493.58909375 |
transcript.pyannote[2296].speaker |
SPEAKER_04 |
transcript.pyannote[2296].start |
12493.70721875 |
transcript.pyannote[2296].end |
12494.61846875 |
transcript.pyannote[2297].speaker |
SPEAKER_04 |
transcript.pyannote[2297].start |
12495.25971875 |
transcript.pyannote[2297].end |
12495.47909375 |
transcript.pyannote[2298].speaker |
SPEAKER_04 |
transcript.pyannote[2298].start |
12496.42409375 |
transcript.pyannote[2298].end |
12498.66846875 |
transcript.pyannote[2299].speaker |
SPEAKER_04 |
transcript.pyannote[2299].start |
12499.10721875 |
transcript.pyannote[2299].end |
12499.83284375 |
transcript.pyannote[2300].speaker |
SPEAKER_04 |
transcript.pyannote[2300].start |
12500.35596875 |
transcript.pyannote[2300].end |
12502.17846875 |
transcript.pyannote[2301].speaker |
SPEAKER_04 |
transcript.pyannote[2301].start |
12502.75221875 |
transcript.pyannote[2301].end |
12503.71409375 |
transcript.pyannote[2302].speaker |
SPEAKER_04 |
transcript.pyannote[2302].start |
12504.38909375 |
transcript.pyannote[2302].end |
12505.18221875 |
transcript.pyannote[2303].speaker |
SPEAKER_04 |
transcript.pyannote[2303].start |
12505.63784375 |
transcript.pyannote[2303].end |
12506.24534375 |
transcript.pyannote[2304].speaker |
SPEAKER_04 |
transcript.pyannote[2304].start |
12506.68409375 |
transcript.pyannote[2304].end |
12507.66284375 |
transcript.pyannote[2305].speaker |
SPEAKER_04 |
transcript.pyannote[2305].start |
12508.00034375 |
transcript.pyannote[2305].end |
12509.63721875 |
transcript.pyannote[2306].speaker |
SPEAKER_04 |
transcript.pyannote[2306].start |
12509.97471875 |
transcript.pyannote[2306].end |
12510.88596875 |
transcript.pyannote[2307].speaker |
SPEAKER_04 |
transcript.pyannote[2307].start |
12511.08846875 |
transcript.pyannote[2307].end |
12512.11784375 |
transcript.pyannote[2308].speaker |
SPEAKER_20 |
transcript.pyannote[2308].start |
12512.47221875 |
transcript.pyannote[2308].end |
12513.77159375 |
transcript.pyannote[2309].speaker |
SPEAKER_04 |
transcript.pyannote[2309].start |
12513.77159375 |
transcript.pyannote[2309].end |
12515.18909375 |
transcript.pyannote[2310].speaker |
SPEAKER_04 |
transcript.pyannote[2310].start |
12515.79659375 |
transcript.pyannote[2310].end |
12516.74159375 |
transcript.pyannote[2311].speaker |
SPEAKER_04 |
transcript.pyannote[2311].start |
12517.16346875 |
transcript.pyannote[2311].end |
12517.31534375 |
transcript.pyannote[2312].speaker |
SPEAKER_04 |
transcript.pyannote[2312].start |
12517.97346875 |
transcript.pyannote[2312].end |
12518.68221875 |
transcript.pyannote[2313].speaker |
SPEAKER_04 |
transcript.pyannote[2313].start |
12518.91846875 |
transcript.pyannote[2313].end |
12520.40346875 |
transcript.pyannote[2314].speaker |
SPEAKER_04 |
transcript.pyannote[2314].start |
12522.69846875 |
transcript.pyannote[2314].end |
12523.69409375 |
transcript.pyannote[2315].speaker |
SPEAKER_04 |
transcript.pyannote[2315].start |
12524.04846875 |
transcript.pyannote[2315].end |
12524.90909375 |
transcript.pyannote[2316].speaker |
SPEAKER_04 |
transcript.pyannote[2316].start |
12526.25909375 |
transcript.pyannote[2316].end |
12526.93409375 |
transcript.pyannote[2317].speaker |
SPEAKER_04 |
transcript.pyannote[2317].start |
12527.55846875 |
transcript.pyannote[2317].end |
12529.80284375 |
transcript.pyannote[2318].speaker |
SPEAKER_04 |
transcript.pyannote[2318].start |
12530.39346875 |
transcript.pyannote[2318].end |
12532.85721875 |
transcript.pyannote[2319].speaker |
SPEAKER_04 |
transcript.pyannote[2319].start |
12533.63346875 |
transcript.pyannote[2319].end |
12535.74284375 |
transcript.pyannote[2320].speaker |
SPEAKER_04 |
transcript.pyannote[2320].start |
12536.04659375 |
transcript.pyannote[2320].end |
12538.89846875 |
transcript.pyannote[2321].speaker |
SPEAKER_04 |
transcript.pyannote[2321].start |
12539.43846875 |
transcript.pyannote[2321].end |
12540.36659375 |
transcript.pyannote[2322].speaker |
SPEAKER_04 |
transcript.pyannote[2322].start |
12540.61971875 |
transcript.pyannote[2322].end |
12542.76284375 |
transcript.pyannote[2323].speaker |
SPEAKER_04 |
transcript.pyannote[2323].start |
12543.38721875 |
transcript.pyannote[2323].end |
12544.21409375 |
transcript.pyannote[2324].speaker |
SPEAKER_04 |
transcript.pyannote[2324].start |
12545.00721875 |
transcript.pyannote[2324].end |
12545.15909375 |
transcript.pyannote[2325].speaker |
SPEAKER_04 |
transcript.pyannote[2325].start |
12545.34471875 |
transcript.pyannote[2325].end |
12546.23909375 |
transcript.pyannote[2326].speaker |
SPEAKER_04 |
transcript.pyannote[2326].start |
12546.79596875 |
transcript.pyannote[2326].end |
12547.74096875 |
transcript.pyannote[2327].speaker |
SPEAKER_04 |
transcript.pyannote[2327].start |
12548.31471875 |
transcript.pyannote[2327].end |
12548.93909375 |
transcript.pyannote[2328].speaker |
SPEAKER_04 |
transcript.pyannote[2328].start |
12549.91784375 |
transcript.pyannote[2328].end |
12550.55909375 |
transcript.pyannote[2329].speaker |
SPEAKER_04 |
transcript.pyannote[2329].start |
12550.84596875 |
transcript.pyannote[2329].end |
12551.53784375 |
transcript.pyannote[2330].speaker |
SPEAKER_04 |
transcript.pyannote[2330].start |
12551.89221875 |
transcript.pyannote[2330].end |
12552.41534375 |
transcript.pyannote[2331].speaker |
SPEAKER_04 |
transcript.pyannote[2331].start |
12552.60096875 |
transcript.pyannote[2331].end |
12553.29284375 |
transcript.pyannote[2332].speaker |
SPEAKER_04 |
transcript.pyannote[2332].start |
12553.98471875 |
transcript.pyannote[2332].end |
12555.90846875 |
transcript.pyannote[2333].speaker |
SPEAKER_04 |
transcript.pyannote[2333].start |
12556.53284375 |
transcript.pyannote[2333].end |
12560.04284375 |
transcript.pyannote[2334].speaker |
SPEAKER_04 |
transcript.pyannote[2334].start |
12560.93721875 |
transcript.pyannote[2334].end |
12564.78471875 |
transcript.pyannote[2335].speaker |
SPEAKER_04 |
transcript.pyannote[2335].start |
12565.42596875 |
transcript.pyannote[2335].end |
12566.06721875 |
transcript.pyannote[2336].speaker |
SPEAKER_04 |
transcript.pyannote[2336].start |
12566.72534375 |
transcript.pyannote[2336].end |
12569.15534375 |
transcript.pyannote[2337].speaker |
SPEAKER_04 |
transcript.pyannote[2337].start |
12569.64471875 |
transcript.pyannote[2337].end |
12570.70784375 |
transcript.pyannote[2338].speaker |
SPEAKER_04 |
transcript.pyannote[2338].start |
12571.11284375 |
transcript.pyannote[2338].end |
12572.64846875 |
transcript.pyannote[2339].speaker |
SPEAKER_04 |
transcript.pyannote[2339].start |
12572.91846875 |
transcript.pyannote[2339].end |
12573.69471875 |
transcript.pyannote[2340].speaker |
SPEAKER_04 |
transcript.pyannote[2340].start |
12574.28534375 |
transcript.pyannote[2340].end |
12575.12909375 |
transcript.pyannote[2341].speaker |
SPEAKER_04 |
transcript.pyannote[2341].start |
12575.56784375 |
transcript.pyannote[2341].end |
12580.27596875 |
transcript.pyannote[2342].speaker |
SPEAKER_04 |
transcript.pyannote[2342].start |
12580.74846875 |
transcript.pyannote[2342].end |
12582.18284375 |
transcript.pyannote[2343].speaker |
SPEAKER_04 |
transcript.pyannote[2343].start |
12582.60471875 |
transcript.pyannote[2343].end |
12584.14034375 |
transcript.pyannote[2344].speaker |
SPEAKER_04 |
transcript.pyannote[2344].start |
12584.56221875 |
transcript.pyannote[2344].end |
12585.20346875 |
transcript.pyannote[2345].speaker |
SPEAKER_04 |
transcript.pyannote[2345].start |
12585.57471875 |
transcript.pyannote[2345].end |
12587.34659375 |
transcript.pyannote[2346].speaker |
SPEAKER_04 |
transcript.pyannote[2346].start |
12587.68409375 |
transcript.pyannote[2346].end |
12588.54471875 |
transcript.pyannote[2347].speaker |
SPEAKER_04 |
transcript.pyannote[2347].start |
12588.88221875 |
transcript.pyannote[2347].end |
12590.41784375 |
transcript.pyannote[2348].speaker |
SPEAKER_04 |
transcript.pyannote[2348].start |
12590.78909375 |
transcript.pyannote[2348].end |
12593.69159375 |
transcript.pyannote[2349].speaker |
SPEAKER_04 |
transcript.pyannote[2349].start |
12593.99534375 |
transcript.pyannote[2349].end |
12594.90659375 |
transcript.pyannote[2350].speaker |
SPEAKER_04 |
transcript.pyannote[2350].start |
12595.44659375 |
transcript.pyannote[2350].end |
12596.99909375 |
transcript.pyannote[2351].speaker |
SPEAKER_04 |
transcript.pyannote[2351].start |
12597.37034375 |
transcript.pyannote[2351].end |
12598.55159375 |
transcript.pyannote[2352].speaker |
SPEAKER_04 |
transcript.pyannote[2352].start |
12598.92284375 |
transcript.pyannote[2352].end |
12600.10409375 |
transcript.pyannote[2353].speaker |
SPEAKER_04 |
transcript.pyannote[2353].start |
12600.88034375 |
transcript.pyannote[2353].end |
12602.56784375 |
transcript.pyannote[2354].speaker |
SPEAKER_04 |
transcript.pyannote[2354].start |
12603.32721875 |
transcript.pyannote[2354].end |
12603.93471875 |
transcript.pyannote[2355].speaker |
SPEAKER_04 |
transcript.pyannote[2355].start |
12604.40721875 |
transcript.pyannote[2355].end |
12605.01471875 |
transcript.pyannote[2356].speaker |
SPEAKER_04 |
transcript.pyannote[2356].start |
12605.67284375 |
transcript.pyannote[2356].end |
12607.98471875 |
transcript.pyannote[2357].speaker |
SPEAKER_04 |
transcript.pyannote[2357].start |
12608.22096875 |
transcript.pyannote[2357].end |
12608.81159375 |
transcript.pyannote[2358].speaker |
SPEAKER_04 |
transcript.pyannote[2358].start |
12609.65534375 |
transcript.pyannote[2358].end |
12610.85346875 |
transcript.pyannote[2359].speaker |
SPEAKER_04 |
transcript.pyannote[2359].start |
12611.14034375 |
transcript.pyannote[2359].end |
12613.82346875 |
transcript.pyannote[2360].speaker |
SPEAKER_04 |
transcript.pyannote[2360].start |
12614.19471875 |
transcript.pyannote[2360].end |
12616.06784375 |
transcript.pyannote[2361].speaker |
SPEAKER_04 |
transcript.pyannote[2361].start |
12616.38846875 |
transcript.pyannote[2361].end |
12618.59909375 |
transcript.pyannote[2362].speaker |
SPEAKER_04 |
transcript.pyannote[2362].start |
12619.18971875 |
transcript.pyannote[2362].end |
12623.61096875 |
transcript.pyannote[2363].speaker |
SPEAKER_04 |
transcript.pyannote[2363].start |
12623.96534375 |
transcript.pyannote[2363].end |
12626.44596875 |
transcript.pyannote[2364].speaker |
SPEAKER_04 |
transcript.pyannote[2364].start |
12626.98596875 |
transcript.pyannote[2364].end |
12629.09534375 |
transcript.pyannote[2365].speaker |
SPEAKER_04 |
transcript.pyannote[2365].start |
12629.68596875 |
transcript.pyannote[2365].end |
12632.16659375 |
transcript.pyannote[2366].speaker |
SPEAKER_04 |
transcript.pyannote[2366].start |
12632.70659375 |
transcript.pyannote[2366].end |
12635.00159375 |
transcript.pyannote[2367].speaker |
SPEAKER_04 |
transcript.pyannote[2367].start |
12635.60909375 |
transcript.pyannote[2367].end |
12636.41909375 |
transcript.pyannote[2368].speaker |
SPEAKER_04 |
transcript.pyannote[2368].start |
12636.80721875 |
transcript.pyannote[2368].end |
12637.73534375 |
transcript.pyannote[2369].speaker |
SPEAKER_04 |
transcript.pyannote[2369].start |
12639.05159375 |
transcript.pyannote[2369].end |
12642.86534375 |
transcript.pyannote[2370].speaker |
SPEAKER_04 |
transcript.pyannote[2370].start |
12642.96659375 |
transcript.pyannote[2370].end |
12643.03409375 |
transcript.pyannote[2371].speaker |
SPEAKER_04 |
transcript.pyannote[2371].start |
12643.05096875 |
transcript.pyannote[2371].end |
12644.89034375 |
transcript.pyannote[2372].speaker |
SPEAKER_20 |
transcript.pyannote[2372].start |
12647.23596875 |
transcript.pyannote[2372].end |
12649.05846875 |
transcript.pyannote[2373].speaker |
SPEAKER_20 |
transcript.pyannote[2373].start |
12649.69971875 |
transcript.pyannote[2373].end |
12657.00659375 |
transcript.pyannote[2374].speaker |
SPEAKER_04 |
transcript.pyannote[2374].start |
12657.15846875 |
transcript.pyannote[2374].end |
12659.03159375 |
transcript.pyannote[2375].speaker |
SPEAKER_04 |
transcript.pyannote[2375].start |
12659.68971875 |
transcript.pyannote[2375].end |
12661.93409375 |
transcript.pyannote[2376].speaker |
SPEAKER_20 |
transcript.pyannote[2376].start |
12661.52909375 |
transcript.pyannote[2376].end |
12667.99221875 |
transcript.pyannote[2377].speaker |
SPEAKER_04 |
transcript.pyannote[2377].start |
12666.64221875 |
transcript.pyannote[2377].end |
12672.49784375 |
transcript.pyannote[2378].speaker |
SPEAKER_04 |
transcript.pyannote[2378].start |
12673.22346875 |
transcript.pyannote[2378].end |
12678.67409375 |
transcript.pyannote[2379].speaker |
SPEAKER_04 |
transcript.pyannote[2379].start |
12679.65284375 |
transcript.pyannote[2379].end |
12686.03159375 |
transcript.pyannote[2380].speaker |
SPEAKER_04 |
transcript.pyannote[2380].start |
12686.65596875 |
transcript.pyannote[2380].end |
12691.44846875 |
transcript.pyannote[2381].speaker |
SPEAKER_20 |
transcript.pyannote[2381].start |
12692.27534375 |
transcript.pyannote[2381].end |
12699.37971875 |
transcript.pyannote[2382].speaker |
SPEAKER_03 |
transcript.pyannote[2382].start |
12698.26596875 |
transcript.pyannote[2382].end |
12699.34596875 |
transcript.pyannote[2383].speaker |
SPEAKER_03 |
transcript.pyannote[2383].start |
12699.37971875 |
transcript.pyannote[2383].end |
12699.39659375 |
transcript.pyannote[2384].speaker |
SPEAKER_20 |
transcript.pyannote[2384].start |
12699.39659375 |
transcript.pyannote[2384].end |
12699.68346875 |
transcript.pyannote[2385].speaker |
SPEAKER_03 |
transcript.pyannote[2385].start |
12699.68346875 |
transcript.pyannote[2385].end |
12705.42096875 |
transcript.pyannote[2386].speaker |
SPEAKER_20 |
transcript.pyannote[2386].start |
12700.29096875 |
transcript.pyannote[2386].end |
12700.40909375 |
transcript.pyannote[2387].speaker |
SPEAKER_20 |
transcript.pyannote[2387].start |
12700.49346875 |
transcript.pyannote[2387].end |
12700.57784375 |
transcript.pyannote[2388].speaker |
SPEAKER_20 |
transcript.pyannote[2388].start |
12700.61159375 |
transcript.pyannote[2388].end |
12700.62846875 |
transcript.pyannote[2389].speaker |
SPEAKER_20 |
transcript.pyannote[2389].start |
12702.67034375 |
transcript.pyannote[2389].end |
12703.10909375 |
transcript.pyannote[2390].speaker |
SPEAKER_20 |
transcript.pyannote[2390].start |
12704.72909375 |
transcript.pyannote[2390].end |
12714.58409375 |
transcript.pyannote[2391].speaker |
SPEAKER_04 |
transcript.pyannote[2391].start |
12715.09034375 |
transcript.pyannote[2391].end |
12719.19096875 |
transcript.pyannote[2392].speaker |
SPEAKER_04 |
transcript.pyannote[2392].start |
12719.64659375 |
transcript.pyannote[2392].end |
12723.62909375 |
transcript.pyannote[2393].speaker |
SPEAKER_04 |
transcript.pyannote[2393].start |
12723.98346875 |
transcript.pyannote[2393].end |
12726.36284375 |
transcript.pyannote[2394].speaker |
SPEAKER_20 |
transcript.pyannote[2394].start |
12728.59034375 |
transcript.pyannote[2394].end |
12730.31159375 |
transcript.pyannote[2395].speaker |
SPEAKER_04 |
transcript.pyannote[2395].start |
12729.97409375 |
transcript.pyannote[2395].end |
12731.39159375 |
transcript.pyannote[2396].speaker |
SPEAKER_20 |
transcript.pyannote[2396].start |
12731.62784375 |
transcript.pyannote[2396].end |
12739.05284375 |
transcript.pyannote[2397].speaker |
SPEAKER_04 |
transcript.pyannote[2397].start |
12737.04471875 |
transcript.pyannote[2397].end |
12740.16659375 |
transcript.pyannote[2398].speaker |
SPEAKER_20 |
transcript.pyannote[2398].start |
12741.17909375 |
transcript.pyannote[2398].end |
12742.39409375 |
transcript.pyannote[2399].speaker |
SPEAKER_20 |
transcript.pyannote[2399].start |
12742.69784375 |
transcript.pyannote[2399].end |
12745.49909375 |
transcript.pyannote[2400].speaker |
SPEAKER_04 |
transcript.pyannote[2400].start |
12744.19971875 |
transcript.pyannote[2400].end |
12745.36409375 |
transcript.pyannote[2401].speaker |
SPEAKER_04 |
transcript.pyannote[2401].start |
12745.38096875 |
transcript.pyannote[2401].end |
12745.43159375 |
transcript.pyannote[2402].speaker |
SPEAKER_04 |
transcript.pyannote[2402].start |
12745.58346875 |
transcript.pyannote[2402].end |
12747.00096875 |
transcript.pyannote[2403].speaker |
SPEAKER_04 |
transcript.pyannote[2403].start |
12747.35534375 |
transcript.pyannote[2403].end |
12748.80659375 |
transcript.pyannote[2404].speaker |
SPEAKER_04 |
transcript.pyannote[2404].start |
12750.96659375 |
transcript.pyannote[2404].end |
12752.16471875 |
transcript.pyannote[2405].speaker |
SPEAKER_04 |
transcript.pyannote[2405].start |
12753.04221875 |
transcript.pyannote[2405].end |
12754.07159375 |
transcript.pyannote[2406].speaker |
SPEAKER_04 |
transcript.pyannote[2406].start |
12755.60721875 |
transcript.pyannote[2406].end |
12756.72096875 |
transcript.pyannote[2407].speaker |
SPEAKER_04 |
transcript.pyannote[2407].start |
12758.45909375 |
transcript.pyannote[2407].end |
12760.26471875 |
transcript.pyannote[2408].speaker |
SPEAKER_04 |
transcript.pyannote[2408].start |
12760.87221875 |
transcript.pyannote[2408].end |
12761.91846875 |
transcript.pyannote[2409].speaker |
SPEAKER_04 |
transcript.pyannote[2409].start |
12762.34034375 |
transcript.pyannote[2409].end |
12763.47096875 |
transcript.pyannote[2410].speaker |
SPEAKER_04 |
transcript.pyannote[2410].start |
12763.92659375 |
transcript.pyannote[2410].end |
12765.83346875 |
transcript.pyannote[2411].speaker |
SPEAKER_04 |
transcript.pyannote[2411].start |
12766.50846875 |
transcript.pyannote[2411].end |
12770.25471875 |
transcript.pyannote[2412].speaker |
SPEAKER_04 |
transcript.pyannote[2412].start |
12771.58784375 |
transcript.pyannote[2412].end |
12774.42284375 |
transcript.pyannote[2413].speaker |
SPEAKER_04 |
transcript.pyannote[2413].start |
12775.09784375 |
transcript.pyannote[2413].end |
12776.63346875 |
transcript.pyannote[2414].speaker |
SPEAKER_04 |
transcript.pyannote[2414].start |
12777.39284375 |
transcript.pyannote[2414].end |
12778.87784375 |
transcript.pyannote[2415].speaker |
SPEAKER_04 |
transcript.pyannote[2415].start |
12779.75534375 |
transcript.pyannote[2415].end |
12781.25721875 |
transcript.pyannote[2416].speaker |
SPEAKER_04 |
transcript.pyannote[2416].start |
12782.23596875 |
transcript.pyannote[2416].end |
12784.41284375 |
transcript.pyannote[2417].speaker |
SPEAKER_04 |
transcript.pyannote[2417].start |
12785.45909375 |
transcript.pyannote[2417].end |
12787.41659375 |
transcript.pyannote[2418].speaker |
SPEAKER_04 |
transcript.pyannote[2418].start |
12787.95659375 |
transcript.pyannote[2418].end |
12791.70284375 |
transcript.pyannote[2419].speaker |
SPEAKER_04 |
transcript.pyannote[2419].start |
12792.81659375 |
transcript.pyannote[2419].end |
12801.81096875 |
transcript.pyannote[2420].speaker |
SPEAKER_04 |
transcript.pyannote[2420].start |
12802.36784375 |
transcript.pyannote[2420].end |
12803.19471875 |
transcript.pyannote[2421].speaker |
SPEAKER_04 |
transcript.pyannote[2421].start |
12803.58284375 |
transcript.pyannote[2421].end |
12804.54471875 |
transcript.pyannote[2422].speaker |
SPEAKER_04 |
transcript.pyannote[2422].start |
12805.72596875 |
transcript.pyannote[2422].end |
12807.86909375 |
transcript.pyannote[2423].speaker |
SPEAKER_04 |
transcript.pyannote[2423].start |
12808.27409375 |
transcript.pyannote[2423].end |
12812.83034375 |
transcript.pyannote[2424].speaker |
SPEAKER_12 |
transcript.pyannote[2424].start |
12812.83034375 |
transcript.pyannote[2424].end |
12815.14221875 |
transcript.pyannote[2425].speaker |
SPEAKER_12 |
transcript.pyannote[2425].start |
12815.96909375 |
transcript.pyannote[2425].end |
12817.89284375 |
transcript.pyannote[2426].speaker |
SPEAKER_12 |
transcript.pyannote[2426].start |
12818.07846875 |
transcript.pyannote[2426].end |
12827.15721875 |
transcript.pyannote[2427].speaker |
SPEAKER_04 |
transcript.pyannote[2427].start |
12826.24596875 |
transcript.pyannote[2427].end |
12826.66784375 |
transcript.pyannote[2428].speaker |
SPEAKER_04 |
transcript.pyannote[2428].start |
12827.15721875 |
transcript.pyannote[2428].end |
12827.20784375 |
transcript.pyannote[2429].speaker |
SPEAKER_12 |
transcript.pyannote[2429].start |
12827.64659375 |
transcript.pyannote[2429].end |
12827.96721875 |
transcript.pyannote[2430].speaker |
SPEAKER_04 |
transcript.pyannote[2430].start |
12827.96721875 |
transcript.pyannote[2430].end |
12828.64221875 |
transcript.pyannote[2431].speaker |
SPEAKER_12 |
transcript.pyannote[2431].start |
12828.64221875 |
transcript.pyannote[2431].end |
12828.65909375 |
transcript.pyannote[2432].speaker |
SPEAKER_12 |
transcript.pyannote[2432].start |
12828.96284375 |
transcript.pyannote[2432].end |
12828.97971875 |
transcript.pyannote[2433].speaker |
SPEAKER_04 |
transcript.pyannote[2433].start |
12828.97971875 |
transcript.pyannote[2433].end |
12830.29596875 |
transcript.pyannote[2434].speaker |
SPEAKER_04 |
transcript.pyannote[2434].start |
12830.85284375 |
transcript.pyannote[2434].end |
12838.91909375 |
transcript.pyannote[2435].speaker |
SPEAKER_04 |
transcript.pyannote[2435].start |
12839.32409375 |
transcript.pyannote[2435].end |
12845.93909375 |
transcript.pyannote[2436].speaker |
SPEAKER_20 |
transcript.pyannote[2436].start |
12845.33159375 |
transcript.pyannote[2436].end |
12856.36784375 |
transcript.pyannote[2437].speaker |
SPEAKER_04 |
transcript.pyannote[2437].start |
12854.86596875 |
transcript.pyannote[2437].end |
12858.37596875 |
transcript.pyannote[2438].speaker |
SPEAKER_20 |
transcript.pyannote[2438].start |
12857.59971875 |
transcript.pyannote[2438].end |
12857.73471875 |
transcript.pyannote[2439].speaker |
SPEAKER_20 |
transcript.pyannote[2439].start |
12857.75159375 |
transcript.pyannote[2439].end |
12861.29534375 |
transcript.pyannote[2440].speaker |
SPEAKER_04 |
transcript.pyannote[2440].start |
12861.14346875 |
transcript.pyannote[2440].end |
12868.34909375 |
transcript.pyannote[2441].speaker |
SPEAKER_04 |
transcript.pyannote[2441].start |
12868.80471875 |
transcript.pyannote[2441].end |
12869.59784375 |
transcript.pyannote[2442].speaker |
SPEAKER_22 |
transcript.pyannote[2442].start |
12871.97721875 |
transcript.pyannote[2442].end |
12872.95596875 |
transcript.pyannote[2443].speaker |
SPEAKER_22 |
transcript.pyannote[2443].start |
12873.24284375 |
transcript.pyannote[2443].end |
12874.22159375 |
transcript.pyannote[2444].speaker |
SPEAKER_22 |
transcript.pyannote[2444].start |
12878.01846875 |
transcript.pyannote[2444].end |
12880.98846875 |
transcript.pyannote[2445].speaker |
SPEAKER_01 |
transcript.pyannote[2445].start |
12891.19784375 |
transcript.pyannote[2445].end |
12892.14284375 |
transcript.pyannote[2446].speaker |
SPEAKER_01 |
transcript.pyannote[2446].start |
12892.46346875 |
transcript.pyannote[2446].end |
12894.23534375 |
transcript.pyannote[2447].speaker |
SPEAKER_22 |
transcript.pyannote[2447].start |
12894.38721875 |
transcript.pyannote[2447].end |
12895.33221875 |
transcript.pyannote[2448].speaker |
SPEAKER_01 |
transcript.pyannote[2448].start |
12894.96096875 |
transcript.pyannote[2448].end |
12895.65284375 |
transcript.pyannote[2449].speaker |
SPEAKER_01 |
transcript.pyannote[2449].start |
12897.98159375 |
transcript.pyannote[2449].end |
12898.35284375 |
transcript.pyannote[2450].speaker |
SPEAKER_01 |
transcript.pyannote[2450].start |
12901.52534375 |
transcript.pyannote[2450].end |
12902.23409375 |
transcript.pyannote[2451].speaker |
SPEAKER_19 |
transcript.pyannote[2451].start |
12902.33534375 |
transcript.pyannote[2451].end |
12903.33096875 |
transcript.pyannote[2452].speaker |
SPEAKER_01 |
transcript.pyannote[2452].start |
12902.94284375 |
transcript.pyannote[2452].end |
12906.77346875 |
transcript.pyannote[2453].speaker |
SPEAKER_19 |
transcript.pyannote[2453].start |
12904.69784375 |
transcript.pyannote[2453].end |
12905.76096875 |
transcript.pyannote[2454].speaker |
SPEAKER_01 |
transcript.pyannote[2454].start |
12907.12784375 |
transcript.pyannote[2454].end |
12911.27909375 |
transcript.pyannote[2455].speaker |
SPEAKER_01 |
transcript.pyannote[2455].start |
12911.56596875 |
transcript.pyannote[2455].end |
12913.45596875 |
transcript.pyannote[2456].speaker |
SPEAKER_01 |
transcript.pyannote[2456].start |
12913.99596875 |
transcript.pyannote[2456].end |
12914.80596875 |
transcript.pyannote[2457].speaker |
SPEAKER_01 |
transcript.pyannote[2457].start |
12914.99159375 |
transcript.pyannote[2457].end |
12915.41346875 |
transcript.pyannote[2458].speaker |
SPEAKER_01 |
transcript.pyannote[2458].start |
12915.51471875 |
transcript.pyannote[2458].end |
12918.06284375 |
transcript.pyannote[2459].speaker |
SPEAKER_01 |
transcript.pyannote[2459].start |
12918.33284375 |
transcript.pyannote[2459].end |
12918.88971875 |
transcript.pyannote[2460].speaker |
SPEAKER_01 |
transcript.pyannote[2460].start |
12919.34534375 |
transcript.pyannote[2460].end |
12922.45034375 |
transcript.pyannote[2461].speaker |
SPEAKER_01 |
transcript.pyannote[2461].start |
12922.70346875 |
transcript.pyannote[2461].end |
12930.41534375 |
transcript.pyannote[2462].speaker |
SPEAKER_01 |
transcript.pyannote[2462].start |
12930.61784375 |
transcript.pyannote[2462].end |
12935.56221875 |
transcript.pyannote[2463].speaker |
SPEAKER_01 |
transcript.pyannote[2463].start |
12935.78159375 |
transcript.pyannote[2463].end |
12941.02971875 |
transcript.pyannote[2464].speaker |
SPEAKER_01 |
transcript.pyannote[2464].start |
12941.41784375 |
transcript.pyannote[2464].end |
12942.88596875 |
transcript.pyannote[2465].speaker |
SPEAKER_01 |
transcript.pyannote[2465].start |
12943.39221875 |
transcript.pyannote[2465].end |
12943.74659375 |
transcript.pyannote[2466].speaker |
SPEAKER_01 |
transcript.pyannote[2466].start |
12944.06721875 |
transcript.pyannote[2466].end |
12946.14284375 |
transcript.pyannote[2467].speaker |
SPEAKER_01 |
transcript.pyannote[2467].start |
12946.73346875 |
transcript.pyannote[2467].end |
12947.02034375 |
transcript.pyannote[2468].speaker |
SPEAKER_01 |
transcript.pyannote[2468].start |
12947.34096875 |
transcript.pyannote[2468].end |
12949.19721875 |
transcript.pyannote[2469].speaker |
SPEAKER_01 |
transcript.pyannote[2469].start |
12949.51784375 |
transcript.pyannote[2469].end |
12950.02409375 |
transcript.pyannote[2470].speaker |
SPEAKER_01 |
transcript.pyannote[2470].start |
12950.17596875 |
transcript.pyannote[2470].end |
12951.03659375 |
transcript.pyannote[2471].speaker |
SPEAKER_01 |
transcript.pyannote[2471].start |
12951.54284375 |
transcript.pyannote[2471].end |
12953.51721875 |
transcript.pyannote[2472].speaker |
SPEAKER_01 |
transcript.pyannote[2472].start |
12953.85471875 |
transcript.pyannote[2472].end |
12955.93034375 |
transcript.pyannote[2473].speaker |
SPEAKER_01 |
transcript.pyannote[2473].start |
12955.96409375 |
transcript.pyannote[2473].end |
12957.19596875 |
transcript.pyannote[2474].speaker |
SPEAKER_01 |
transcript.pyannote[2474].start |
12958.02284375 |
transcript.pyannote[2474].end |
12959.00159375 |
transcript.pyannote[2475].speaker |
SPEAKER_01 |
transcript.pyannote[2475].start |
12959.57534375 |
transcript.pyannote[2475].end |
12960.99284375 |
transcript.pyannote[2476].speaker |
SPEAKER_01 |
transcript.pyannote[2476].start |
12961.65096875 |
transcript.pyannote[2476].end |
12962.69721875 |
transcript.pyannote[2477].speaker |
SPEAKER_01 |
transcript.pyannote[2477].start |
12962.84909375 |
transcript.pyannote[2477].end |
12964.53659375 |
transcript.pyannote[2478].speaker |
SPEAKER_01 |
transcript.pyannote[2478].start |
12964.60409375 |
transcript.pyannote[2478].end |
12966.17346875 |
transcript.pyannote[2479].speaker |
SPEAKER_01 |
transcript.pyannote[2479].start |
12966.94971875 |
transcript.pyannote[2479].end |
12968.11409375 |
transcript.pyannote[2480].speaker |
SPEAKER_01 |
transcript.pyannote[2480].start |
12968.65409375 |
transcript.pyannote[2480].end |
12970.03784375 |
transcript.pyannote[2481].speaker |
SPEAKER_01 |
transcript.pyannote[2481].start |
12970.54409375 |
transcript.pyannote[2481].end |
12972.75471875 |
transcript.pyannote[2482].speaker |
SPEAKER_01 |
transcript.pyannote[2482].start |
12972.87284375 |
transcript.pyannote[2482].end |
12976.02846875 |
transcript.pyannote[2483].speaker |
SPEAKER_01 |
transcript.pyannote[2483].start |
12976.60221875 |
transcript.pyannote[2483].end |
12978.69471875 |
transcript.pyannote[2484].speaker |
SPEAKER_01 |
transcript.pyannote[2484].start |
12979.35284375 |
transcript.pyannote[2484].end |
12984.29721875 |
transcript.pyannote[2485].speaker |
SPEAKER_01 |
transcript.pyannote[2485].start |
12984.87096875 |
transcript.pyannote[2485].end |
12986.01846875 |
transcript.pyannote[2486].speaker |
SPEAKER_01 |
transcript.pyannote[2486].start |
12986.49096875 |
transcript.pyannote[2486].end |
12987.11534375 |
transcript.pyannote[2487].speaker |
SPEAKER_01 |
transcript.pyannote[2487].start |
12987.60471875 |
transcript.pyannote[2487].end |
12987.94221875 |
transcript.pyannote[2488].speaker |
SPEAKER_01 |
transcript.pyannote[2488].start |
12988.38096875 |
transcript.pyannote[2488].end |
12989.69721875 |
transcript.pyannote[2489].speaker |
SPEAKER_01 |
transcript.pyannote[2489].start |
12989.96721875 |
transcript.pyannote[2489].end |
12990.82784375 |
transcript.pyannote[2490].speaker |
SPEAKER_24 |
transcript.pyannote[2490].start |
12991.70534375 |
transcript.pyannote[2490].end |
12992.29596875 |
transcript.pyannote[2491].speaker |
SPEAKER_01 |
transcript.pyannote[2491].start |
12992.38034375 |
transcript.pyannote[2491].end |
12993.30846875 |
transcript.pyannote[2492].speaker |
SPEAKER_01 |
transcript.pyannote[2492].start |
12993.79784375 |
transcript.pyannote[2492].end |
12994.54034375 |
transcript.pyannote[2493].speaker |
SPEAKER_01 |
transcript.pyannote[2493].start |
12995.13096875 |
transcript.pyannote[2493].end |
12999.24846875 |
transcript.pyannote[2494].speaker |
SPEAKER_01 |
transcript.pyannote[2494].start |
12999.80534375 |
transcript.pyannote[2494].end |
13007.31471875 |
transcript.pyannote[2495].speaker |
SPEAKER_01 |
transcript.pyannote[2495].start |
13007.65221875 |
transcript.pyannote[2495].end |
13013.38971875 |
transcript.pyannote[2496].speaker |
SPEAKER_01 |
transcript.pyannote[2496].start |
13013.76096875 |
transcript.pyannote[2496].end |
13018.65471875 |
transcript.pyannote[2497].speaker |
SPEAKER_20 |
transcript.pyannote[2497].start |
13019.00909375 |
transcript.pyannote[2497].end |
13019.46471875 |
transcript.pyannote[2498].speaker |
SPEAKER_20 |
transcript.pyannote[2498].start |
13019.56596875 |
transcript.pyannote[2498].end |
13034.70284375 |
transcript.pyannote[2499].speaker |
SPEAKER_01 |
transcript.pyannote[2499].start |
13032.61034375 |
transcript.pyannote[2499].end |
13034.33159375 |
transcript.pyannote[2500].speaker |
SPEAKER_01 |
transcript.pyannote[2500].start |
13034.70284375 |
transcript.pyannote[2500].end |
13039.93409375 |
transcript.pyannote[2501].speaker |
SPEAKER_01 |
transcript.pyannote[2501].start |
13040.15346875 |
transcript.pyannote[2501].end |
13045.60409375 |
transcript.pyannote[2502].speaker |
SPEAKER_01 |
transcript.pyannote[2502].start |
13046.09346875 |
transcript.pyannote[2502].end |
13051.59471875 |
transcript.pyannote[2503].speaker |
SPEAKER_01 |
transcript.pyannote[2503].start |
13051.93221875 |
transcript.pyannote[2503].end |
13054.02471875 |
transcript.pyannote[2504].speaker |
SPEAKER_01 |
transcript.pyannote[2504].start |
13054.64909375 |
transcript.pyannote[2504].end |
13056.77534375 |
transcript.pyannote[2505].speaker |
SPEAKER_01 |
transcript.pyannote[2505].start |
13057.70346875 |
transcript.pyannote[2505].end |
13062.74909375 |
transcript.pyannote[2506].speaker |
SPEAKER_01 |
transcript.pyannote[2506].start |
13063.40721875 |
transcript.pyannote[2506].end |
13068.08159375 |
transcript.pyannote[2507].speaker |
SPEAKER_01 |
transcript.pyannote[2507].start |
13068.52034375 |
transcript.pyannote[2507].end |
13070.71409375 |
transcript.pyannote[2508].speaker |
SPEAKER_01 |
transcript.pyannote[2508].start |
13070.96721875 |
transcript.pyannote[2508].end |
13074.93284375 |
transcript.pyannote[2509].speaker |
SPEAKER_01 |
transcript.pyannote[2509].start |
13075.35471875 |
transcript.pyannote[2509].end |
13076.85659375 |
transcript.pyannote[2510].speaker |
SPEAKER_01 |
transcript.pyannote[2510].start |
13077.61596875 |
transcript.pyannote[2510].end |
13093.32659375 |
transcript.pyannote[2511].speaker |
SPEAKER_01 |
transcript.pyannote[2511].start |
13093.83284375 |
transcript.pyannote[2511].end |
13094.18721875 |
transcript.pyannote[2512].speaker |
SPEAKER_01 |
transcript.pyannote[2512].start |
13094.71034375 |
transcript.pyannote[2512].end |
13095.89159375 |
transcript.pyannote[2513].speaker |
SPEAKER_01 |
transcript.pyannote[2513].start |
13096.07721875 |
transcript.pyannote[2513].end |
13099.65471875 |
transcript.pyannote[2514].speaker |
SPEAKER_01 |
transcript.pyannote[2514].start |
13100.80221875 |
transcript.pyannote[2514].end |
13103.35034375 |
transcript.pyannote[2515].speaker |
SPEAKER_01 |
transcript.pyannote[2515].start |
13103.87346875 |
transcript.pyannote[2515].end |
13113.18846875 |
transcript.pyannote[2516].speaker |
SPEAKER_01 |
transcript.pyannote[2516].start |
13113.55971875 |
transcript.pyannote[2516].end |
13115.44971875 |
transcript.pyannote[2517].speaker |
SPEAKER_01 |
transcript.pyannote[2517].start |
13115.82096875 |
transcript.pyannote[2517].end |
13117.98096875 |
transcript.pyannote[2518].speaker |
SPEAKER_01 |
transcript.pyannote[2518].start |
13118.58846875 |
transcript.pyannote[2518].end |
13120.93409375 |
transcript.pyannote[2519].speaker |
SPEAKER_01 |
transcript.pyannote[2519].start |
13121.98034375 |
transcript.pyannote[2519].end |
13136.57721875 |
transcript.pyannote[2520].speaker |
SPEAKER_01 |
transcript.pyannote[2520].start |
13137.57284375 |
transcript.pyannote[2520].end |
13139.81721875 |
transcript.pyannote[2521].speaker |
SPEAKER_01 |
transcript.pyannote[2521].start |
13140.50909375 |
transcript.pyannote[2521].end |
13142.26409375 |
transcript.pyannote[2522].speaker |
SPEAKER_01 |
transcript.pyannote[2522].start |
13142.34846875 |
transcript.pyannote[2522].end |
13153.36784375 |
transcript.pyannote[2523].speaker |
SPEAKER_01 |
transcript.pyannote[2523].start |
13153.46909375 |
transcript.pyannote[2523].end |
13155.94971875 |
transcript.pyannote[2524].speaker |
SPEAKER_01 |
transcript.pyannote[2524].start |
13156.00034375 |
transcript.pyannote[2524].end |
13157.68784375 |
transcript.pyannote[2525].speaker |
SPEAKER_01 |
transcript.pyannote[2525].start |
13158.56534375 |
transcript.pyannote[2525].end |
13160.06721875 |
transcript.pyannote[2526].speaker |
SPEAKER_01 |
transcript.pyannote[2526].start |
13160.45534375 |
transcript.pyannote[2526].end |
13162.44659375 |
transcript.pyannote[2527].speaker |
SPEAKER_01 |
transcript.pyannote[2527].start |
13163.12159375 |
transcript.pyannote[2527].end |
13187.55659375 |
transcript.pyannote[2528].speaker |
SPEAKER_01 |
transcript.pyannote[2528].start |
13187.82659375 |
transcript.pyannote[2528].end |
13195.45409375 |
transcript.pyannote[2529].speaker |
SPEAKER_01 |
transcript.pyannote[2529].start |
13195.82534375 |
transcript.pyannote[2529].end |
13197.90096875 |
transcript.pyannote[2530].speaker |
SPEAKER_20 |
transcript.pyannote[2530].start |
13197.73221875 |
transcript.pyannote[2530].end |
13205.61284375 |
transcript.pyannote[2531].speaker |
SPEAKER_01 |
transcript.pyannote[2531].start |
13205.73096875 |
transcript.pyannote[2531].end |
13208.48159375 |
transcript.pyannote[2532].speaker |
SPEAKER_20 |
transcript.pyannote[2532].start |
13206.16971875 |
transcript.pyannote[2532].end |
13206.47346875 |
transcript.pyannote[2533].speaker |
SPEAKER_20 |
transcript.pyannote[2533].start |
13207.01346875 |
transcript.pyannote[2533].end |
13209.20721875 |
transcript.pyannote[2534].speaker |
SPEAKER_01 |
transcript.pyannote[2534].start |
13209.24096875 |
transcript.pyannote[2534].end |
13210.28721875 |
transcript.pyannote[2535].speaker |
SPEAKER_22 |
transcript.pyannote[2535].start |
13212.16034375 |
transcript.pyannote[2535].end |
13212.31221875 |
transcript.pyannote[2536].speaker |
SPEAKER_22 |
transcript.pyannote[2536].start |
13212.70034375 |
transcript.pyannote[2536].end |
13214.08409375 |
transcript.pyannote[2537].speaker |
SPEAKER_22 |
transcript.pyannote[2537].start |
13216.09221875 |
transcript.pyannote[2537].end |
13218.52221875 |
transcript.pyannote[2538].speaker |
SPEAKER_07 |
transcript.pyannote[2538].start |
13233.15284375 |
transcript.pyannote[2538].end |
13234.65471875 |
transcript.pyannote[2539].speaker |
SPEAKER_22 |
transcript.pyannote[2539].start |
13235.05971875 |
transcript.pyannote[2539].end |
13235.88659375 |
transcript.pyannote[2540].speaker |
SPEAKER_22 |
transcript.pyannote[2540].start |
13241.74221875 |
transcript.pyannote[2540].end |
13241.75909375 |
transcript.pyannote[2541].speaker |
SPEAKER_07 |
transcript.pyannote[2541].start |
13241.75909375 |
transcript.pyannote[2541].end |
13242.73784375 |
transcript.pyannote[2542].speaker |
SPEAKER_07 |
transcript.pyannote[2542].start |
13242.94034375 |
transcript.pyannote[2542].end |
13243.36221875 |
transcript.pyannote[2543].speaker |
SPEAKER_07 |
transcript.pyannote[2543].start |
13243.85159375 |
transcript.pyannote[2543].end |
13244.23971875 |
transcript.pyannote[2544].speaker |
SPEAKER_07 |
transcript.pyannote[2544].start |
13244.42534375 |
transcript.pyannote[2544].end |
13248.30659375 |
transcript.pyannote[2545].speaker |
SPEAKER_07 |
transcript.pyannote[2545].start |
13248.72846875 |
transcript.pyannote[2545].end |
13249.38659375 |
transcript.pyannote[2546].speaker |
SPEAKER_07 |
transcript.pyannote[2546].start |
13249.75784375 |
transcript.pyannote[2546].end |
13253.52096875 |
transcript.pyannote[2547].speaker |
SPEAKER_00 |
transcript.pyannote[2547].start |
13251.46221875 |
transcript.pyannote[2547].end |
13251.47909375 |
transcript.pyannote[2548].speaker |
SPEAKER_00 |
transcript.pyannote[2548].start |
13251.74909375 |
transcript.pyannote[2548].end |
13251.83346875 |
transcript.pyannote[2549].speaker |
SPEAKER_07 |
transcript.pyannote[2549].start |
13253.80784375 |
transcript.pyannote[2549].end |
13255.07346875 |
transcript.pyannote[2550].speaker |
SPEAKER_07 |
transcript.pyannote[2550].start |
13255.41096875 |
transcript.pyannote[2550].end |
13257.94221875 |
transcript.pyannote[2551].speaker |
SPEAKER_07 |
transcript.pyannote[2551].start |
13258.34721875 |
transcript.pyannote[2551].end |
13259.27534375 |
transcript.pyannote[2552].speaker |
SPEAKER_07 |
transcript.pyannote[2552].start |
13259.54534375 |
transcript.pyannote[2552].end |
13262.63346875 |
transcript.pyannote[2553].speaker |
SPEAKER_20 |
transcript.pyannote[2553].start |
13263.42659375 |
transcript.pyannote[2553].end |
13264.50659375 |
transcript.pyannote[2554].speaker |
SPEAKER_20 |
transcript.pyannote[2554].start |
13264.84409375 |
transcript.pyannote[2554].end |
13291.54034375 |
transcript.pyannote[2555].speaker |
SPEAKER_20 |
transcript.pyannote[2555].start |
13291.87784375 |
transcript.pyannote[2555].end |
13292.35034375 |
transcript.pyannote[2556].speaker |
SPEAKER_20 |
transcript.pyannote[2556].start |
13293.00846875 |
transcript.pyannote[2556].end |
13296.51846875 |
transcript.pyannote[2557].speaker |
SPEAKER_07 |
transcript.pyannote[2557].start |
13296.51846875 |
transcript.pyannote[2557].end |
13309.02284375 |
transcript.pyannote[2558].speaker |
SPEAKER_20 |
transcript.pyannote[2558].start |
13296.58596875 |
transcript.pyannote[2558].end |
13296.77159375 |
transcript.pyannote[2559].speaker |
SPEAKER_07 |
transcript.pyannote[2559].start |
13309.19159375 |
transcript.pyannote[2559].end |
13318.28721875 |
transcript.pyannote[2560].speaker |
SPEAKER_20 |
transcript.pyannote[2560].start |
13318.62471875 |
transcript.pyannote[2560].end |
13319.14784375 |
transcript.pyannote[2561].speaker |
SPEAKER_20 |
transcript.pyannote[2561].start |
13319.16471875 |
transcript.pyannote[2561].end |
13347.17721875 |
transcript.pyannote[2562].speaker |
SPEAKER_07 |
transcript.pyannote[2562].start |
13347.32909375 |
transcript.pyannote[2562].end |
13349.69159375 |
transcript.pyannote[2563].speaker |
SPEAKER_07 |
transcript.pyannote[2563].start |
13350.43409375 |
transcript.pyannote[2563].end |
13375.89846875 |
transcript.pyannote[2564].speaker |
SPEAKER_07 |
transcript.pyannote[2564].start |
13376.20221875 |
transcript.pyannote[2564].end |
13377.78846875 |
transcript.pyannote[2565].speaker |
SPEAKER_07 |
transcript.pyannote[2565].start |
13378.07534375 |
transcript.pyannote[2565].end |
13381.77096875 |
transcript.pyannote[2566].speaker |
SPEAKER_07 |
transcript.pyannote[2566].start |
13381.93971875 |
transcript.pyannote[2566].end |
13385.29784375 |
transcript.pyannote[2567].speaker |
SPEAKER_07 |
transcript.pyannote[2567].start |
13385.80409375 |
transcript.pyannote[2567].end |
13387.98096875 |
transcript.pyannote[2568].speaker |
SPEAKER_07 |
transcript.pyannote[2568].start |
13388.25096875 |
transcript.pyannote[2568].end |
13389.78659375 |
transcript.pyannote[2569].speaker |
SPEAKER_07 |
transcript.pyannote[2569].start |
13389.80346875 |
transcript.pyannote[2569].end |
13408.55159375 |
transcript.pyannote[2570].speaker |
SPEAKER_00 |
transcript.pyannote[2570].start |
13395.37221875 |
transcript.pyannote[2570].end |
13395.65909375 |
transcript.pyannote[2571].speaker |
SPEAKER_33 |
transcript.pyannote[2571].start |
13396.11471875 |
transcript.pyannote[2571].end |
13396.18221875 |
transcript.pyannote[2572].speaker |
SPEAKER_27 |
transcript.pyannote[2572].start |
13396.18221875 |
transcript.pyannote[2572].end |
13396.19909375 |
transcript.pyannote[2573].speaker |
SPEAKER_00 |
transcript.pyannote[2573].start |
13396.19909375 |
transcript.pyannote[2573].end |
13396.21596875 |
transcript.pyannote[2574].speaker |
SPEAKER_07 |
transcript.pyannote[2574].start |
13408.66971875 |
transcript.pyannote[2574].end |
13412.04471875 |
transcript.pyannote[2575].speaker |
SPEAKER_07 |
transcript.pyannote[2575].start |
13412.38221875 |
transcript.pyannote[2575].end |
13414.49159375 |
transcript.pyannote[2576].speaker |
SPEAKER_07 |
transcript.pyannote[2576].start |
13414.94721875 |
transcript.pyannote[2576].end |
13439.24721875 |
transcript.pyannote[2577].speaker |
SPEAKER_20 |
transcript.pyannote[2577].start |
13438.84221875 |
transcript.pyannote[2577].end |
13458.75471875 |
transcript.pyannote[2578].speaker |
SPEAKER_07 |
transcript.pyannote[2578].start |
13458.99096875 |
transcript.pyannote[2578].end |
13467.76596875 |
transcript.pyannote[2579].speaker |
SPEAKER_07 |
transcript.pyannote[2579].start |
13468.15409375 |
transcript.pyannote[2579].end |
13486.51409375 |
transcript.pyannote[2580].speaker |
SPEAKER_20 |
transcript.pyannote[2580].start |
13486.83471875 |
transcript.pyannote[2580].end |
13487.30721875 |
transcript.pyannote[2581].speaker |
SPEAKER_20 |
transcript.pyannote[2581].start |
13487.54346875 |
transcript.pyannote[2581].end |
13496.50409375 |
transcript.pyannote[2582].speaker |
SPEAKER_07 |
transcript.pyannote[2582].start |
13496.50409375 |
transcript.pyannote[2582].end |
13511.42159375 |
transcript.pyannote[2583].speaker |
SPEAKER_20 |
transcript.pyannote[2583].start |
13498.07346875 |
transcript.pyannote[2583].end |
13498.54596875 |
transcript.pyannote[2584].speaker |
SPEAKER_00 |
transcript.pyannote[2584].start |
13506.39284375 |
transcript.pyannote[2584].end |
13506.42659375 |
transcript.pyannote[2585].speaker |
SPEAKER_22 |
transcript.pyannote[2585].start |
13506.42659375 |
transcript.pyannote[2585].end |
13506.83159375 |
transcript.pyannote[2586].speaker |
SPEAKER_27 |
transcript.pyannote[2586].start |
13510.37534375 |
transcript.pyannote[2586].end |
13510.39221875 |
transcript.pyannote[2587].speaker |
SPEAKER_22 |
transcript.pyannote[2587].start |
13510.39221875 |
transcript.pyannote[2587].end |
13510.54409375 |
transcript.pyannote[2588].speaker |
SPEAKER_22 |
transcript.pyannote[2588].start |
13514.94846875 |
transcript.pyannote[2588].end |
13519.21784375 |
transcript.pyannote[2589].speaker |
SPEAKER_14 |
transcript.pyannote[2589].start |
13529.59596875 |
transcript.pyannote[2589].end |
13533.46034375 |
transcript.pyannote[2590].speaker |
SPEAKER_14 |
transcript.pyannote[2590].start |
13538.50596875 |
transcript.pyannote[2590].end |
13562.60346875 |
transcript.pyannote[2591].speaker |
SPEAKER_20 |
transcript.pyannote[2591].start |
13563.31221875 |
transcript.pyannote[2591].end |
13571.61471875 |
transcript.pyannote[2592].speaker |
SPEAKER_14 |
transcript.pyannote[2592].start |
13571.22659375 |
transcript.pyannote[2592].end |
13605.46596875 |
transcript.pyannote[2593].speaker |
SPEAKER_20 |
transcript.pyannote[2593].start |
13572.84659375 |
transcript.pyannote[2593].end |
13574.31471875 |
transcript.pyannote[2594].speaker |
SPEAKER_20 |
transcript.pyannote[2594].start |
13606.47846875 |
transcript.pyannote[2594].end |
13614.00471875 |
transcript.pyannote[2595].speaker |
SPEAKER_14 |
transcript.pyannote[2595].start |
13613.24534375 |
transcript.pyannote[2595].end |
13613.92034375 |
transcript.pyannote[2596].speaker |
SPEAKER_14 |
transcript.pyannote[2596].start |
13614.00471875 |
transcript.pyannote[2596].end |
13620.02909375 |
transcript.pyannote[2597].speaker |
SPEAKER_14 |
transcript.pyannote[2597].start |
13620.56909375 |
transcript.pyannote[2597].end |
13623.69096875 |
transcript.pyannote[2598].speaker |
SPEAKER_14 |
transcript.pyannote[2598].start |
13624.01159375 |
transcript.pyannote[2598].end |
13627.13346875 |
transcript.pyannote[2599].speaker |
SPEAKER_14 |
transcript.pyannote[2599].start |
13627.36971875 |
transcript.pyannote[2599].end |
13635.40221875 |
transcript.pyannote[2600].speaker |
SPEAKER_14 |
transcript.pyannote[2600].start |
13635.67221875 |
transcript.pyannote[2600].end |
13644.70034375 |
transcript.pyannote[2601].speaker |
SPEAKER_14 |
transcript.pyannote[2601].start |
13645.37534375 |
transcript.pyannote[2601].end |
13647.19784375 |
transcript.pyannote[2602].speaker |
SPEAKER_14 |
transcript.pyannote[2602].start |
13647.40034375 |
transcript.pyannote[2602].end |
13648.58159375 |
transcript.pyannote[2603].speaker |
SPEAKER_14 |
transcript.pyannote[2603].start |
13649.03721875 |
transcript.pyannote[2603].end |
13659.04409375 |
transcript.pyannote[2604].speaker |
SPEAKER_14 |
transcript.pyannote[2604].start |
13659.26346875 |
transcript.pyannote[2604].end |
13669.45596875 |
transcript.pyannote[2605].speaker |
SPEAKER_14 |
transcript.pyannote[2605].start |
13670.33346875 |
transcript.pyannote[2605].end |
13679.39534375 |
transcript.pyannote[2606].speaker |
SPEAKER_14 |
transcript.pyannote[2606].start |
13679.66534375 |
transcript.pyannote[2606].end |
13680.28971875 |
transcript.pyannote[2607].speaker |
SPEAKER_14 |
transcript.pyannote[2607].start |
13680.54284375 |
transcript.pyannote[2607].end |
13684.54221875 |
transcript.pyannote[2608].speaker |
SPEAKER_14 |
transcript.pyannote[2608].start |
13685.68971875 |
transcript.pyannote[2608].end |
13686.14534375 |
transcript.pyannote[2609].speaker |
SPEAKER_14 |
transcript.pyannote[2609].start |
13686.70221875 |
transcript.pyannote[2609].end |
13687.02284375 |
transcript.pyannote[2610].speaker |
SPEAKER_20 |
transcript.pyannote[2610].start |
13687.02284375 |
transcript.pyannote[2610].end |
13687.22534375 |
transcript.pyannote[2611].speaker |
SPEAKER_14 |
transcript.pyannote[2611].start |
13687.46159375 |
transcript.pyannote[2611].end |
13687.49534375 |
transcript.pyannote[2612].speaker |
SPEAKER_20 |
transcript.pyannote[2612].start |
13687.49534375 |
transcript.pyannote[2612].end |
13689.19971875 |
transcript.pyannote[2613].speaker |
SPEAKER_20 |
transcript.pyannote[2613].start |
13690.31346875 |
transcript.pyannote[2613].end |
13695.96659375 |
transcript.pyannote[2614].speaker |
SPEAKER_14 |
transcript.pyannote[2614].start |
13694.36346875 |
transcript.pyannote[2614].end |
13694.68409375 |
transcript.pyannote[2615].speaker |
SPEAKER_14 |
transcript.pyannote[2615].start |
13695.96659375 |
transcript.pyannote[2615].end |
13697.08034375 |
transcript.pyannote[2616].speaker |
SPEAKER_20 |
transcript.pyannote[2616].start |
13697.08034375 |
transcript.pyannote[2616].end |
13698.12659375 |
transcript.pyannote[2617].speaker |
SPEAKER_14 |
transcript.pyannote[2617].start |
13697.19846875 |
transcript.pyannote[2617].end |
13701.24846875 |
transcript.pyannote[2618].speaker |
SPEAKER_14 |
transcript.pyannote[2618].start |
13701.61971875 |
transcript.pyannote[2618].end |
13702.17659375 |
transcript.pyannote[2619].speaker |
SPEAKER_14 |
transcript.pyannote[2619].start |
13702.98659375 |
transcript.pyannote[2619].end |
13705.38284375 |
transcript.pyannote[2620].speaker |
SPEAKER_14 |
transcript.pyannote[2620].start |
13706.27721875 |
transcript.pyannote[2620].end |
13723.03409375 |
transcript.pyannote[2621].speaker |
SPEAKER_14 |
transcript.pyannote[2621].start |
13723.30409375 |
transcript.pyannote[2621].end |
13728.60284375 |
transcript.pyannote[2622].speaker |
SPEAKER_14 |
transcript.pyannote[2622].start |
13728.85596875 |
transcript.pyannote[2622].end |
13732.55159375 |
transcript.pyannote[2623].speaker |
SPEAKER_14 |
transcript.pyannote[2623].start |
13732.72034375 |
transcript.pyannote[2623].end |
13736.55096875 |
transcript.pyannote[2624].speaker |
SPEAKER_14 |
transcript.pyannote[2624].start |
13737.10784375 |
transcript.pyannote[2624].end |
13737.14159375 |
transcript.pyannote[2625].speaker |
SPEAKER_20 |
transcript.pyannote[2625].start |
13737.14159375 |
transcript.pyannote[2625].end |
13742.23784375 |
transcript.pyannote[2626].speaker |
SPEAKER_14 |
transcript.pyannote[2626].start |
13742.23784375 |
transcript.pyannote[2626].end |
13742.25471875 |
transcript.pyannote[2627].speaker |
SPEAKER_20 |
transcript.pyannote[2627].start |
13742.82846875 |
transcript.pyannote[2627].end |
13743.53721875 |
transcript.pyannote[2628].speaker |
SPEAKER_14 |
transcript.pyannote[2628].start |
13743.53721875 |
transcript.pyannote[2628].end |
13743.63846875 |
transcript.pyannote[2629].speaker |
SPEAKER_20 |
transcript.pyannote[2629].start |
13743.63846875 |
transcript.pyannote[2629].end |
13743.97596875 |
transcript.pyannote[2630].speaker |
SPEAKER_14 |
transcript.pyannote[2630].start |
13743.97596875 |
transcript.pyannote[2630].end |
13748.39721875 |
transcript.pyannote[2631].speaker |
SPEAKER_14 |
transcript.pyannote[2631].start |
13749.15659375 |
transcript.pyannote[2631].end |
13750.03409375 |
transcript.pyannote[2632].speaker |
SPEAKER_20 |
transcript.pyannote[2632].start |
13750.03409375 |
transcript.pyannote[2632].end |
13752.17721875 |
transcript.pyannote[2633].speaker |
SPEAKER_20 |
transcript.pyannote[2633].start |
13753.13909375 |
transcript.pyannote[2633].end |
13760.31096875 |
transcript.pyannote[2634].speaker |
SPEAKER_14 |
transcript.pyannote[2634].start |
13756.07534375 |
transcript.pyannote[2634].end |
13757.00346875 |
transcript.pyannote[2635].speaker |
SPEAKER_14 |
transcript.pyannote[2635].start |
13760.31096875 |
transcript.pyannote[2635].end |
13762.63971875 |
transcript.pyannote[2636].speaker |
SPEAKER_14 |
transcript.pyannote[2636].start |
13763.12909375 |
transcript.pyannote[2636].end |
13763.56784375 |
transcript.pyannote[2637].speaker |
SPEAKER_20 |
transcript.pyannote[2637].start |
13764.15846875 |
transcript.pyannote[2637].end |
13769.96346875 |
transcript.pyannote[2638].speaker |
SPEAKER_14 |
transcript.pyannote[2638].start |
13769.96346875 |
transcript.pyannote[2638].end |
13801.58721875 |
transcript.pyannote[2639].speaker |
SPEAKER_14 |
transcript.pyannote[2639].start |
13802.44784375 |
transcript.pyannote[2639].end |
13802.97096875 |
transcript.pyannote[2640].speaker |
SPEAKER_20 |
transcript.pyannote[2640].start |
13802.97096875 |
transcript.pyannote[2640].end |
13803.02159375 |
transcript.pyannote[2641].speaker |
SPEAKER_14 |
transcript.pyannote[2641].start |
13803.74721875 |
transcript.pyannote[2641].end |
13803.76409375 |
transcript.pyannote[2642].speaker |
SPEAKER_20 |
transcript.pyannote[2642].start |
13803.76409375 |
transcript.pyannote[2642].end |
13810.31159375 |
transcript.pyannote[2643].speaker |
SPEAKER_14 |
transcript.pyannote[2643].start |
13809.45096875 |
transcript.pyannote[2643].end |
13813.16346875 |
transcript.pyannote[2644].speaker |
SPEAKER_14 |
transcript.pyannote[2644].start |
13813.87221875 |
transcript.pyannote[2644].end |
13816.42034375 |
transcript.pyannote[2645].speaker |
SPEAKER_14 |
transcript.pyannote[2645].start |
13816.80846875 |
transcript.pyannote[2645].end |
13817.92221875 |
transcript.pyannote[2646].speaker |
SPEAKER_14 |
transcript.pyannote[2646].start |
13818.04034375 |
transcript.pyannote[2646].end |
13825.33034375 |
transcript.pyannote[2647].speaker |
SPEAKER_14 |
transcript.pyannote[2647].start |
13825.44846875 |
transcript.pyannote[2647].end |
13829.38034375 |
transcript.pyannote[2648].speaker |
SPEAKER_22 |
transcript.pyannote[2648].start |
13829.38034375 |
transcript.pyannote[2648].end |
13829.39721875 |
transcript.pyannote[2649].speaker |
SPEAKER_22 |
transcript.pyannote[2649].start |
13832.65409375 |
transcript.pyannote[2649].end |
13834.69596875 |
transcript.pyannote[2650].speaker |
SPEAKER_22 |
transcript.pyannote[2650].start |
13835.21909375 |
transcript.pyannote[2650].end |
13842.13784375 |
transcript.pyannote[2651].speaker |
SPEAKER_22 |
transcript.pyannote[2651].start |
13842.22221875 |
transcript.pyannote[2651].end |
13846.44096875 |
transcript.pyannote[2652].speaker |
SPEAKER_22 |
transcript.pyannote[2652].start |
13846.59284375 |
transcript.pyannote[2652].end |
13857.10596875 |
transcript.pyannote[2653].speaker |
SPEAKER_22 |
transcript.pyannote[2653].start |
13857.56159375 |
transcript.pyannote[2653].end |
13862.55659375 |
transcript.pyannote[2654].speaker |
SPEAKER_22 |
transcript.pyannote[2654].start |
13863.04596875 |
transcript.pyannote[2654].end |
13865.27346875 |
transcript.pyannote[2655].speaker |
SPEAKER_22 |
transcript.pyannote[2655].start |
13866.25221875 |
transcript.pyannote[2655].end |
13867.72034375 |
transcript.pyannote[2656].speaker |
SPEAKER_22 |
transcript.pyannote[2656].start |
13868.34471875 |
transcript.pyannote[2656].end |
13870.84221875 |
transcript.pyannote[2657].speaker |
SPEAKER_22 |
transcript.pyannote[2657].start |
13871.01096875 |
transcript.pyannote[2657].end |
13872.58034375 |
transcript.pyannote[2658].speaker |
SPEAKER_22 |
transcript.pyannote[2658].start |
13874.08221875 |
transcript.pyannote[2658].end |
13886.26596875 |
transcript.pyannote[2659].speaker |
SPEAKER_22 |
transcript.pyannote[2659].start |
13886.65409375 |
transcript.pyannote[2659].end |
13892.93159375 |
transcript.pyannote[2660].speaker |
SPEAKER_22 |
transcript.pyannote[2660].start |
13893.18471875 |
transcript.pyannote[2660].end |
13899.04034375 |
transcript.pyannote[2661].speaker |
SPEAKER_27 |
transcript.pyannote[2661].start |
13899.73221875 |
transcript.pyannote[2661].end |
13901.38596875 |
transcript.pyannote[2662].speaker |
SPEAKER_22 |
transcript.pyannote[2662].start |
13900.55909375 |
transcript.pyannote[2662].end |
13901.85846875 |
transcript.pyannote[2663].speaker |
SPEAKER_16 |
transcript.pyannote[2663].start |
13901.85846875 |
transcript.pyannote[2663].end |
13901.89221875 |
transcript.pyannote[2664].speaker |
SPEAKER_13 |
transcript.pyannote[2664].start |
13932.11534375 |
transcript.pyannote[2664].end |
13932.46971875 |
transcript.pyannote[2665].speaker |
SPEAKER_13 |
transcript.pyannote[2665].start |
13934.59596875 |
transcript.pyannote[2665].end |
13935.38909375 |
transcript.pyannote[2666].speaker |
SPEAKER_30 |
transcript.pyannote[2666].start |
13935.49034375 |
transcript.pyannote[2666].end |
13937.41409375 |
transcript.pyannote[2667].speaker |
SPEAKER_30 |
transcript.pyannote[2667].start |
13938.00471875 |
transcript.pyannote[2667].end |
13940.09721875 |
transcript.pyannote[2668].speaker |
SPEAKER_13 |
transcript.pyannote[2668].start |
13940.95784375 |
transcript.pyannote[2668].end |
13941.97034375 |
transcript.pyannote[2669].speaker |
SPEAKER_30 |
transcript.pyannote[2669].start |
13941.54846875 |
transcript.pyannote[2669].end |
13942.39221875 |
transcript.pyannote[2670].speaker |
SPEAKER_07 |
transcript.pyannote[2670].start |
13942.39221875 |
transcript.pyannote[2670].end |
13942.47659375 |
transcript.pyannote[2671].speaker |
SPEAKER_07 |
transcript.pyannote[2671].start |
13942.76346875 |
transcript.pyannote[2671].end |
13942.83096875 |
transcript.pyannote[2672].speaker |
SPEAKER_30 |
transcript.pyannote[2672].start |
13942.83096875 |
transcript.pyannote[2672].end |
13943.97846875 |
transcript.pyannote[2673].speaker |
SPEAKER_07 |
transcript.pyannote[2673].start |
13943.97846875 |
transcript.pyannote[2673].end |
13946.13846875 |
transcript.pyannote[2674].speaker |
SPEAKER_07 |
transcript.pyannote[2674].start |
13947.58971875 |
transcript.pyannote[2674].end |
13948.75409375 |
transcript.pyannote[2675].speaker |
SPEAKER_07 |
transcript.pyannote[2675].start |
13949.54721875 |
transcript.pyannote[2675].end |
13949.68221875 |
transcript.pyannote[2676].speaker |
SPEAKER_13 |
transcript.pyannote[2676].start |
13949.68221875 |
transcript.pyannote[2676].end |
13951.60596875 |
transcript.pyannote[2677].speaker |
SPEAKER_07 |
transcript.pyannote[2677].start |
13949.69909375 |
transcript.pyannote[2677].end |
13949.73284375 |
transcript.pyannote[2678].speaker |
SPEAKER_07 |
transcript.pyannote[2678].start |
13952.01096875 |
transcript.pyannote[2678].end |
13952.02784375 |
transcript.pyannote[2679].speaker |
SPEAKER_13 |
transcript.pyannote[2679].start |
13952.02784375 |
transcript.pyannote[2679].end |
13952.11221875 |
transcript.pyannote[2680].speaker |
SPEAKER_27 |
transcript.pyannote[2680].start |
13952.11221875 |
transcript.pyannote[2680].end |
13952.29784375 |
transcript.pyannote[2681].speaker |
SPEAKER_07 |
transcript.pyannote[2681].start |
13952.29784375 |
transcript.pyannote[2681].end |
13952.33159375 |
transcript.pyannote[2682].speaker |
SPEAKER_13 |
transcript.pyannote[2682].start |
13952.33159375 |
transcript.pyannote[2682].end |
13953.47909375 |
transcript.whisperx[0].start |
125.896 |
transcript.whisperx[0].end |
125.916 |
transcript.whisperx[0].text |
麥克風測試 |
transcript.whisperx[1].start |
296.664 |
transcript.whisperx[1].end |
298.183 |
transcript.whisperx[1].text |
響鐘 |
transcript.whisperx[2].start |
337.159 |
transcript.whisperx[2].end |
337.5 |
transcript.whisperx[2].text |
MING PAO CANADA MANGA |
transcript.whisperx[3].start |
538.26 |
transcript.whisperx[3].end |
539.647 |
transcript.whisperx[3].text |
委員會主席 |
transcript.whisperx[4].start |
661.011 |
transcript.whisperx[4].end |
661.661 |
transcript.whisperx[4].text |
委員會主席 |
transcript.whisperx[5].start |
1122.39 |
transcript.whisperx[5].end |
1123.146 |
transcript.whisperx[5].text |
委員會主席 |
transcript.whisperx[6].start |
1264.768 |
transcript.whisperx[6].end |
1266.661 |
transcript.whisperx[6].text |
主席 |
transcript.whisperx[7].start |
1374.133 |
transcript.whisperx[7].end |
1377.598 |
transcript.whisperx[7].text |
委員會主席 |
transcript.whisperx[8].start |
1403.865 |
transcript.whisperx[8].end |
1403.965 |
transcript.whisperx[8].text |
委員會委員會委員會 |
transcript.whisperx[9].start |
1854.841 |
transcript.whisperx[9].end |
1857.366 |
transcript.whisperx[9].text |
好我們繼續開會現在進行報告事項請宣讀邀請經濟部長列席報告業務概況.並備質詢宣讀完畢 |
transcript.whisperx[10].start |
1868.035 |
transcript.whisperx[10].end |
1890.245 |
transcript.whisperx[10].text |
好本日議程排定經濟部的業務報告那因為今天來列席的經濟部的官員蠻多的所以我們先介紹一下列席的官員首先當然還是跟大家介紹經濟部長王美花王部長祖密楊志清楊祖密綜合規劃司司長莊明池 |
transcript.whisperx[11].start |
1892.34 |
transcript.whisperx[11].end |
1913.924 |
transcript.whisperx[11].text |
產業技術司司長邱求慧投資促進司司長張明斌投資審議司司長楊淑玲國營事業管理司司長胡文忠法治司司長羅翠玲秘書處處長魏世剛人事處處長陳素芝政風處長廖長興 |
transcript.whisperx[12].start |
1923.154 |
transcript.whisperx[12].end |
1929.536 |
transcript.whisperx[12].text |
會計處長黃宏文統計處長黃於玲資訊處長林聰仁接下來是產發署蘇文玲署長商業發展署產發署連錦章署長國際貿易署江文若署長能源署游政委署長 |
transcript.whisperx[13].start |
1950.683 |
transcript.whisperx[13].end |
1966.954 |
transcript.whisperx[13].text |
中小及新創企業署何進昌署長、學歷署賴建信署長、智慧財產局廖承威廖局長、產業園區管理局局長楊伯耕楊局長、標準檢驗局陳怡玲局長、 |
transcript.whisperx[14].start |
1973.245 |
transcript.whisperx[14].end |
1997.57 |
transcript.whisperx[14].text |
地質調查及礦業管理中心主任徐明宏徐主任經貿人員培訓所李明喜李所長工商輔導中心雲瑞龍主任接下來介紹的是臺電公司王耀廷總經理臺糖公司楊明洲董事長自來水公司李嘉榮董事長 |
transcript.whisperx[15].start |
1998.806 |
transcript.whisperx[15].end |
2007.207 |
transcript.whisperx[15].text |
中郵董事長李順清李董事長以上接下來我們就請經濟部王美花部長進行報告 |
transcript.whisperx[16].start |
2022.033 |
transcript.whisperx[16].end |
2047.602 |
transcript.whisperx[16].text |
主席、各位委員那經濟部的業務比較繁多我花一點點時間跟各位做一個整體的介紹那第一個在當前環境下面在去年全球壟在高通膨、高利率、中端的需求走弱那抑制了各國經濟成長的動能臺灣不免受到影響但是在分散市場、多元布局跟產業轉型多年 |
transcript.whisperx[17].start |
2049.202 |
transcript.whisperx[17].end |
2057.685 |
transcript.whisperx[17].text |
推動的這樣基礎下台灣的去年出口金額連續第三年超過4300億美元民間的消費突破11兆歷史的新高尤其有8.3的成長創下近30年來最大的征服那各項的成績都展現了台灣經濟的能量跟韌性那今年國際的大環境仍然在地緣政治衝突這樣的風險變數下那國際的主要機構也認為今年的經濟 |
transcript.whisperx[18].start |
2079.151 |
transcript.whisperx[18].end |
2083.275 |
transcript.whisperx[18].text |
在不穩定中逐步復甦隨著全球通膨壓力的減緩產業去擴充化告一個段落全球的貿易動能有轉加國際的大機構預測今年全球的貿易量 |
transcript.whisperx[19].start |
2094.464 |
transcript.whisperx[19].end |
2112.45 |
transcript.whisperx[19].text |
會有顯著的成長從去年的不到1%會升到3.3%那有利於我國以外需導向為主的經濟體系那此外臺灣受惠於人工智慧、車用電子等新型科技應用的擴展我國半導體自通訊產業具有競爭的優勢再加上奧運、歐洲盃等運動題材對紡織製血傳統產業也有幫助那所以主計總署預測今年出口會逐劇回升 |
transcript.whisperx[20].start |
2124.963 |
transcript.whisperx[20].end |
2131.445 |
transcript.whisperx[20].text |
民間消費者在基本工資調升、軍公教跟企業調薪的帶動下也可以穩健的成長預估臺灣今年的經濟成長率可以達到3.43%那在地緣衝突、美中博弈、極端氣候這樣諸多風險下讓全球的經濟復甦仍然充滿的不確定性所以本部的市政會在韌性、安全的理念下持續建構強韌的水電網路 |
transcript.whisperx[21].start |
2153.353 |
transcript.whisperx[21].end |
2183.353 |
transcript.whisperx[21].text |
. |
transcript.whisperx[22].start |
2183.493 |
transcript.whisperx[22].end |
2188.494 |
transcript.whisperx[22].text |
超過6成的現金製程產能由臺灣提供在各國相繼提出巨額的獎勵來吸引半導體投資的時候那我們在去年修正了產創條例10-2針對投入前瞻創新研發的技術跟採購現金製程設備提供投資體檢那今年呢2月到5月開始受理申請鼓勵這個我國居國際供應鏈關鍵地位的業者來加碼投資 |
transcript.whisperx[23].start |
2211.578 |
transcript.whisperx[23].end |
2230.947 |
transcript.whisperx[23].text |
.臺灣. |
transcript.whisperx[24].start |
2231.047 |
transcript.whisperx[24].end |
2235.851 |
transcript.whisperx[24].text |
先進封裝以及主要產能都留在臺灣另外為了壯大臺灣半導體生態系也會持續推動半導體設備材料的在地化除了吸引美國、歐盟、日本、國際領先的半導體設備材料在臺灣投資超過470億美金新增採購超過200億以外今天也會輔導臺灣的業者投入奈米級製成的設備跟先進封裝材料 |
transcript.whisperx[25].start |
2260.473 |
transcript.whisperx[25].end |
2262.605 |
transcript.whisperx[25].text |
來提升在地化的一個供應鏈 |
transcript.whisperx[26].start |
2264.657 |
transcript.whisperx[26].end |
2280.421 |
transcript.whisperx[26].text |
AI將是帶動新一波產業投資跟突破數位轉型的關鍵台灣具有完整的AI伺服器供應鏈以及晶片研發的生態系加上完善的智慧產權保護已經成功爭取到全球AI晶片的兩大龍頭來台灣設立物流的運籌中心為台灣佈局AI打下基礎今年本部將結合精創台灣方案 |
transcript.whisperx[27].start |
2290.384 |
transcript.whisperx[27].end |
2317.159 |
transcript.whisperx[27].text |
﹚議員﹚ |
transcript.whisperx[28].start |
2317.299 |
transcript.whisperx[28].end |
2317.439 |
transcript.whisperx[28].text |
發言委員. |
transcript.whisperx[29].start |
2343.039 |
transcript.whisperx[29].end |
2343.079 |
transcript.whisperx[29].text |
主席 |
transcript.whisperx[30].start |
2362.401 |
transcript.whisperx[30].end |
2365.785 |
transcript.whisperx[30].text |
那在輔導傳產升級的部分那為了提供產業創新投資的誘因今年也將會來修訂產創條例10至1條除了延長原定這個到期適用的期限外也會研議來擴大投資低減的範圍範疇 |
transcript.whisperx[31].start |
2381.563 |
transcript.whisperx[31].end |
2389.469 |
transcript.whisperx[31].text |
到AI的應用跟淨零排放等等來應對全球產業數位發展跟減碳的趨勢那對於部分仍然面臨景氣影響的傳產跟中小企業本部也會持續這個疫後特別預算朝這個輔導業者地攤化、智慧化的轉型那去年已經輔導了超過4000家那今年也會持續讓這個專家團隊到場來服務 |
transcript.whisperx[32].start |
2409.569 |
transcript.whisperx[32].end |
2416.332 |
transcript.whisperx[32].text |
.配專案貸款、展延、還款期限等等融資以及用電優惠等措施讓業者可以穩健的經營。另外,受到ECFA部分產品取消關稅優惠的影響的產業本部也規劃了要透過異業聯盟加強海外脫銷例如我們整合石化機械紡織 |
transcript.whisperx[33].start |
2431.678 |
transcript.whisperx[33].end |
2433.72 |
transcript.whisperx[33].text |
那組團前往具潛力的而且個別廠商不易開拓的印度東協非洲等新興市場並且協助業者開發高質化差異化的產品來提升產品的國際競爭力 |
transcript.whisperx[34].start |
2446.656 |
transcript.whisperx[34].end |
2466.02 |
transcript.whisperx[34].text |
那好的員工可以讓企業提升競爭力並且創造獲利尤其中小企業吸納了臺灣八成的就業所以為了優化中小企業加薪的誘因我們提出中小企業發展條例36-2的修正案除了將原定要入日的時間再延長10年並且刪除了啟動的門檻使租稅的優惠常態化來適用同時也提高 |
transcript.whisperx[35].start |
2474.641 |
transcript.whisperx[35].end |
2481.485 |
transcript.whisperx[35].text |
新資抵減率到150那適用的新資範圍也會擴到6.2萬以這個這樣的一個門檻那在穩定基礎設施的部分那電力的穩定是攸關民生跟產業發展我們這個電力的供應除了投入新的再生能源外也擬妥中長期穩定供電的規劃那今年預計會新增443萬千瓦天然氣機組 |
transcript.whisperx[36].start |
2503.016 |
transcript.whisperx[36].end |
2509.3 |
transcript.whisperx[36].text |
那扣除除役的315萬幾組呢那供電的淨增加約120萬千瓦可以維持穩定供電而為了強化電網韌性呢今年也會投入720億來做電網韌性的相關工作那電價的調整部分呢那全世界都因為惡霧戰爭帶來國際性燃料成本的暴漲那臺灣透過臺電吸收了絕大多數的虧損 |
transcript.whisperx[37].start |
2530.593 |
transcript.whisperx[37].end |
2539.962 |
transcript.whisperx[37].text |
承擔了減緩通膨的任務,但是也因為未足而反映在電價調漲上造成台電的財務壓力。目前電價調漲方案尚未定案,未來會在審議會充分來討論。另外,核電研議的問題除了首先考慮核電的安全外,還涉及到相關法規的修改,必須兼顧專業性跟周延性。 |
transcript.whisperx[38].start |
2556.396 |
transcript.whisperx[38].end |
2572.301 |
transcript.whisperx[38].text |
後續要有河安會的安全審查另外河二用過的河南料棒目前沒有辦法取出干儲的設施也還沒有興建必須要等待地方政府同意河廢料的處理也需要取得社會的共識在水的部分臺灣風枯水期的差異在全球氣候變遷下確實也變成一個重要的議題本部將持續推動區域的備援工程 |
transcript.whisperx[39].start |
2585.953 |
transcript.whisperx[39].end |
2585.973 |
transcript.whisperx[39].text |
委員會議 |
transcript.whisperx[40].start |
2604.847 |
transcript.whisperx[40].end |
2631.876 |
transcript.whisperx[40].text |
翡翠原水管工程陶竹背原管線都預計在今年6月通水而霧溪鳥嘴潭仁宮湖在去年10月已經完成6個湖區的工程那今年可以完成6月的時候完成蓄水可以提升大台北新竹以及彰化南投等的供水韌性離島地區在澎湖及北七海的海淡廠在年底完工後也可以提升 |
transcript.whisperx[41].start |
2632.176 |
transcript.whisperx[41].end |
2632.576 |
transcript.whisperx[41].text |
在國際的挑戰上面 |
transcript.whisperx[42].start |
2658.94 |
transcript.whisperx[42].end |
2682.73 |
transcript.whisperx[42].text |
去年的COVID-19最大的共識是增加再生能源而發展再生能源也是我國經營轉型跟實現能源自主的關鍵我們以太陽光電跟離岸風電為發展的主力在拖年的努力之下那太陽光電去年新增2.7個Gigawatt創歷史的新高那累至到今年1月底併網量已經達到12.5Gigawatt那目前掌握足額岸源透過 |
transcript.whisperx[43].start |
2686.952 |
transcript.whisperx[43].end |
2692.234 |
transcript.whisperx[43].text |
各部會跟地方政府的合作努力來達成114年20GW的設置目標離岸風電到今年1月底已經累計設計了288座的風力機裝置容量達到2.3GW是世界上少數離岸風電突破2GW的國家今年會努力達到3GW |
transcript.whisperx[44].start |
2709.44 |
transcript.whisperx[44].end |
2716.244 |
transcript.whisperx[44].text |
那麼另外也會提前布局浮動式的風場的釋放計畫讓我們離岸風力邁向這個深水區來發展另外今年也會將氫能跟地熱列為能沾、潛在能源的發展重點那氫能的部分國營企業會帶頭在氫能發電、工業跟運輸方面 |
transcript.whisperx[45].start |
2730.673 |
transcript.whisperx[45].end |
2734.654 |
transcript.whisperx[45].text |
來推動示範計畫目前臺電跟興達正在進行這個5%混氫的發電驗證跟中原來合作開發去碳燃氫的發電技術中鋼巨型鋼化廉廠的運轉中油公司會在年底建制全臺首座的 |
transcript.whisperx[46].start |
2748.584 |
transcript.whisperx[46].end |
2751.948 |
transcript.whisperx[46].text |
可移動式加薪站在地熱開發部分目前6個案場已經裝置7.29個MW今年預計會增加5個MW那今年的2月底已經完成了地熱相關探勘的辦法草案預告會盡快完成相關的程序 |
transcript.whisperx[47].start |
2768.874 |
transcript.whisperx[47].end |
2774.635 |
transcript.whisperx[47].text |
除了增加綠能以外也要讓企業買得到綠電那考量多數的國內企業比較缺乏國際的性品所以我們規劃透過綠電的性保機制來幫助企業跟綠電的業者來簽署企業的購售電合約目前正與國家融資保證中心溝通細節預計在第一季可以正式對外公布辦法那中小企業也可以透過公有或國營事業土地標售案場的 |
transcript.whisperx[48].start |
2798.66 |
transcript.whisperx[48].end |
2815.503 |
transcript.whisperx[48].text |
﹚ |
transcript.whisperx[49].start |
2816.852 |
transcript.whisperx[49].end |
2830.878 |
transcript.whisperx[49].text |
這個在這個COVID-28也提出2030年的能源效率改善效率要有2%增加到4%那臺灣從105年就開始透過能源轉型節能以及製程改善三個方向努力 |
transcript.whisperx[50].start |
2831.578 |
transcript.whisperx[50].end |
2856.523 |
transcript.whisperx[50].text |
過去5年已經實現這個年平均4%的能源效率的改善那在美國的能源效率委員會的國際評比中臺灣也從105年的13名提升到111年的第8名在亞洲的表現僅次於日本那我們會在這樣的基礎上全面提升產業跟住宅能源效用的效率達到深度的節能 |
transcript.whisperx[51].start |
2857.563 |
transcript.whisperx[51].end |
2882.774 |
transcript.whisperx[51].text |
那在產業方面我們透過投資低減、能源補助導入Exco的金融機制以及提升專業節能輔導等等來幫助產業來節電那另外今年也會持續提供10億元來補助商業服務業的這個節能設備的更換那另外也擴大補助的項目增加一級能效的冰箱瓦斯爐等等相關的節能汰換 |
transcript.whisperx[52].start |
2884.54 |
transcript.whisperx[52].end |
2907.774 |
transcript.whisperx[52].text |
主宰部分去年加電汰換已經補助了170萬台冷氣冰箱促成節電11億度今年再延長一年並且擴大推出瓦斯爐、瓦斯熱水器的補助有效這個住宅的節約另外針對歐盟在去年開始實施的CMAN的過渡期本部也啟動辦理相關的 |
transcript.whisperx[53].start |
2910.936 |
transcript.whisperx[53].end |
2928.108 |
transcript.whisperx[53].text |
CBAN產品和碳含量的四天工作跟申報說明會做了非常多的諮詢、一對一的服務等等並且主動關懷企業我們也成立了北中南的區域申報的服務窗口就計業者來申報解決企業在CBAN申報過程中遇到的問題 |
transcript.whisperx[54].start |
2932.972 |
transcript.whisperx[54].end |
2939.897 |
transcript.whisperx[54].text |
那在投資臺灣的部分投資臺灣三大方案到今年2月呢累計投資已經接近2.18兆帶動15萬人的就業讓臺灣的產業公立更加的完整那今年會新增投資2300億元 |
transcript.whisperx[55].start |
2950.044 |
transcript.whisperx[55].end |
2955.366 |
transcript.whisperx[55].text |
創造1.9萬人的目標持續壯大我國高階伺服器AI產業以及電動車等相關的供應鏈另外我們也前方會拓展對外投資的經貿關係推動赴新南向國家的投資那我們已經連續第三年新南向的投資都有超過50億 |
transcript.whisperx[56].start |
2972.373 |
transcript.whisperx[56].end |
2997.243 |
transcript.whisperx[56].text |
甚至連續兩年都超過對中國大陸的投資那臺灣的晶圓大廠赴日投資也建立了半導體供應鏈的合作典範不僅吸引日本電子汽車相關大企業入股帶動臺日雙方企業的合作也使得日本最大的半導體設備商跟材料商加碼在臺灣投資分別成立營運中心跟先進半導體材料廠那增強這個在臺灣半導體先進材料的生產跟技術支援 |
transcript.whisperx[57].start |
3003.456 |
transcript.whisperx[57].end |
3007.518 |
transcript.whisperx[57].text |
臺美關係向來緊密,雙方已經建立了臺美經濟繁榮夥伴對話以及科技技術跟投資的合作等交流管道那去年透過EPPD的就經濟脅迫供應鏈跟投資能源轉型永續跟安全等重大議題深入的交流另外臺美21次貿易世界倡議也在去年6月 |
transcript.whisperx[58].start |
3025.767 |
transcript.whisperx[58].end |
3028.57 |
transcript.whisperx[58].text |
簽署首批協定,持續進行第二階段談判,深化臺美貿易合作。臺歐盟部分持續透過貿易跟投資對話以及產業對話交流平臺推動雙方進一步的經貿合作。 |
transcript.whisperx[59].start |
3041.561 |
transcript.whisperx[59].end |
3060.273 |
transcript.whisperx[59].text |
因應國際需求的恢復全球貿易動能的回溫為了協助我商升取海外MIT的商機並且分散出口市場除了鞏固美日歐並且持續深耕新南向市場以外也積極擴大到中東、中南美跟非洲等新興市場今年預計會投入50億元來舉辦相關的脫銷團商機日等超過200項的脫銷活動 |
transcript.whisperx[60].start |
3069.378 |
transcript.whisperx[60].end |
3071.863 |
transcript.whisperx[60].text |
那過去幾年臺灣經歷前所未有的世紀疫情、百年大旱、二屋戰爭等危機政府以團隊合作突破挑戰 |
transcript.whisperx[61].start |
3079.235 |
transcript.whisperx[61].end |
3085.457 |
transcript.whisperx[61].text |
向全世界展現臺灣經濟的韌性那未來隨著產業競爭跟地緣競爭的加劇我們會遇到更多的挑戰但也會帶來新的商機本部會做好最佳的經濟掌舵手引導產業以AI驅動數位跟淨零雙轉型來深化全球多元布局吸引外資持續投資臺灣壯大臺灣 |
transcript.whisperx[62].start |
3103.183 |
transcript.whisperx[62].end |
3104.345 |
transcript.whisperx[62].text |
帶領臺灣暫穩國際公益內關鍵地位以上作簡單報告 敬請委員支持指教 |
transcript.whisperx[63].start |
3115.207 |
transcript.whisperx[63].end |
3137.91 |
transcript.whisperx[63].text |
謝謝王部長的報告我們現在要開始進行詢答委員質詢之前原力做以下幾點的宣告每位委員發言時間本會委員6分鐘必要時得延長2分鐘非本會委員4分鐘上午10點30分截止發言登記首先請登記第一位林戴化委員有請部長王部長 |
transcript.whisperx[64].start |
3144.38 |
transcript.whisperx[64].end |
3165.231 |
transcript.whisperx[64].text |
好,本席針對再生人員的後續除了建制之後後續的維運來做討論極端氣候下建立國家綠能穩定供應的機制那在零排的能源建成主力綠電也成為關鍵能源在你的簡報當中也提到去年在COP28 |
transcript.whisperx[65].start |
3166.211 |
transcript.whisperx[65].end |
3166.431 |
transcript.whisperx[65].text |
委員會主席 |
transcript.whisperx[66].start |
3183.578 |
transcript.whisperx[66].end |
3201.785 |
transcript.whisperx[66].text |
阿贊真後續可能形成的石油供應若沒有綠能的規劃能源的供應勢必困難好我國再生能源的裝置能量去確實是有大幅的成長在111年10月底不管是在太陽能光電風力到水力地了 |
transcript.whisperx[67].start |
3202.901 |
transcript.whisperx[67].end |
3225.843 |
transcript.whisperx[67].text |
目前本席所知道的我們再生能源也達發電佔比的9%了好那臺灣確實擁有好的綠能的地理條件我們有最佳的風潮在這個臺灣海峽我們有在太平洋西岸這個黑潮流量的流速都很好以及我們在亞熱帶當中的日照充足以及在環太平洋的火環 |
transcript.whisperx[68].start |
3226.884 |
transcript.whisperx[68].end |
3232.766 |
transcript.whisperx[68].text |
我們台灣也在這個火丸內那所以地的豐富我國確實擁有各型綠能的最佳場域但好的地理條件也有對應的地理問題綠能發展與氣候條件的正相關注意我這邊提的是氣候條件 |
transcript.whisperx[69].start |
3244.249 |
transcript.whisperx[69].end |
3249.292 |
transcript.whisperx[69].text |
所以這跟我後續的主張會有關係直觀來看我國各型的綠能軍面對不同的問題我們說有在台灣有好的這個風場但是呢夏季多颱風風機大型化下我們狹狹的空域如何兼顧民航軍機飛安與能源安全太陽能光電雖然我們在亞熱帶但是地狹人酬如何合理利用的有限國土資源我們雖然在這個 |
transcript.whisperx[70].start |
3273.687 |
transcript.whisperx[70].end |
3279.328 |
transcript.whisperx[70].text |
這個火黃帶當中既然是地熱發達火黃帶當中那一定是火山一定是這個很發達的一個地段所以它一定是多地震、地質破碎也導致我地下熱的水源涵養就困難雖然我們有這個海洋流的一個這樣的地主這樣的優良條件但是有黑潮那它一定是有海溝的地形水下工程難度就會劇增了 |
transcript.whisperx[71].start |
3303.453 |
transcript.whisperx[71].end |
3327.482 |
transcript.whisperx[71].text |
好我電力發電的風險管理好縱觀過去經濟部只要管一家公司就好叫做台電那只要管這家台電呢他就可以掌握全國的電力而先前又是大電廠的架構火力、核能、水力等電廠均由台電現場人員即使掌握狀態甚至可以緊急備用料件來替代好 |
transcript.whisperx[72].start |
3329.482 |
transcript.whisperx[72].end |
3354.138 |
transcript.whisperx[72].text |
對業自由化之後我們民間的綠燃電廠的地位等同台電好那你覺得民間電廠為了講求最佳化他都是委託建設甚至委託營運您覺得部長他會像台電一樣有緊急的現場人員去掌握狀況會有緊急的備用料件來支援現場的這個所 |
transcript.whisperx[73].start |
3355.899 |
transcript.whisperx[73].end |
3358.72 |
transcript.whisperx[73].text |
因為地理或大氣環境所衍生的電力設備故障嗎? |
transcript.whisperx[74].start |
3369.419 |
transcript.whisperx[74].end |
3394.738 |
transcript.whisperx[74].text |
離岸一起的故障還打3分之1但說到這一點我本席就要替臺電同仁報不平在臺電的再生能源柱一共才200人他管什麼再生能源而已所以地熱、風力發電、太陽能這個全部他都管就200位甚至本席了解連一個主任都要去爬電桿 |
transcript.whisperx[75].start |
3396.019 |
transcript.whisperx[75].end |
3414.646 |
transcript.whisperx[75].text |
你看人員多麼吃緊。好,這麼所以也要請部長這邊瞭解多大面積的風產有多少種的發電設備要養護光是我出海一趟搭船來回所需的時間造成養護量能的巨大限制一艘工作船出海啊只能養護一座風塔 |
transcript.whisperx[76].start |
3416.647 |
transcript.whisperx[76].end |
3419.71 |
transcript.whisperx[76].text |
民營風場是佔大多數,其修復工作量必然更大於台電的維護養護需求 |
transcript.whisperx[77].start |
3436.088 |
transcript.whisperx[77].end |
3438.35 |
transcript.whisperx[77].text |
本席認為綠能政策要科學化的建立 |
transcript.whisperx[78].start |
3459.585 |
transcript.whisperx[78].end |
3483.567 |
transcript.whisperx[78].text |
科學管理分散式的電業的必要性什麼叫做科學管理我針對幾項幾點第一個要求民營電廠具備具備護員修復的量能不能僅靠他其發電才有收入的邏輯這是現況政府因強化監理民間業者的設備妥善率連我們私人的汽車 |
transcript.whisperx[79].start |
3484.768 |
transcript.whisperx[79].end |
3506.177 |
transcript.whisperx[79].text |
私人的汽車我們交通部都要求我們都要驗車了更何況重大的人員設施政府請人事生事壞第二個綠能場域通過環評之後的環境生態不能放任業者自行管理經濟部應該主動的承擔建設後面的環境資料收集責任及系統化的管理 |
transcript.whisperx[80].start |
3507.097 |
transcript.whisperx[80].end |
3528.666 |
transcript.whisperx[80].text |
我們都會要求業者這些綠電的業者他們會通報定期通報半年一次通報環境部的檢疫環境影響資訊本期要求針對這些業者同步提報給經濟部你們才好去做後續的收集甚至系統化的分析跟管理 |
transcript.whisperx[81].start |
3529.926 |
transcript.whisperx[81].end |
3547.899 |
transcript.whisperx[81].text |
而且呢我這還不包括所以我在這邊請你們研議一定要一定比例的綠電場域是以免環評的有環評的他一定會送環境部免環評的是沒有的好那免環評的這個綠電場應該納入政府的環境衝擊的監控好針對這個生態是如此那針對氣候呢 |
transcript.whisperx[82].start |
3554.42 |
transcript.whisperx[82].end |
3574.276 |
transcript.whisperx[82].text |
我就舉經管會經管會自112年起去年還要求本國銀行每年6月底前辦理前一年度的氣候風險的相關財務揭露而綠電非常大比例是以農資阿我相信阿這個部長你比我更清楚與其說我們支持系統商阿不如是支持這個風電系統商的財務規劃我想這句話才是重點 |
transcript.whisperx[83].start |
3581.261 |
transcript.whisperx[83].end |
3585.003 |
transcript.whisperx[83].text |
所以他的財務規劃金管會都要求說你氣候風險的財務規劃要揭露那你本身你的經濟部你對於氣候相關的管理是不是也應該要比照金管會的要求呢我這個綠電也好太陽能也好我的五級三級的地震我五級七級的颱風 |
transcript.whisperx[84].start |
3603.852 |
transcript.whisperx[84].end |
3623.416 |
transcript.whisperx[84].text |
所在造成氣候所影響的這個風場你要有多少的量能、能力 我有多少的濾備、配料都要準備啊那你怎麼知道要準備多少配料 你怎麼知道多少能力當然靠的就是科學管理長期的追蹤啊 3年5年後的分析要求電廠民營電廠也要做這樣的準備啊 否則你的濾電到時候就變成廢鐵了 |
transcript.whisperx[85].start |
3630.765 |
transcript.whisperx[85].end |
3636.329 |
transcript.whisperx[85].text |
好就是後續這當中只能夠一直能夠保持你現在所跟大家報告的這樣的量能啊好綠能政策在科學化的建立當中反觀我再講一次人原屬直接是規劃管理綠能的產業並卻沒有針對綠能氣候風險有生態風險的管理氣候風險的管理在電業自由化後與國家電力穩定供應進行監控人原屬不能只有管發多少電 |
transcript.whisperx[86].start |
3660.905 |
transcript.whisperx[86].end |
3674.693 |
transcript.whisperx[86].text |
更重要的是穩定發電的供給與調控這個是本席的重點因為以前這個電力調控只要由台電來扮演管理者就好但是綠能發電的電業自由化之後能源署當然得承擔起綠能場域的微氣象資料屬於國家關鍵的戰略資訊這句話很重要 |
transcript.whisperx[87].start |
3686.28 |
transcript.whisperx[87].end |
3700.95 |
transcript.whisperx[87].text |
為綠能場域的為氣候的資料是屬於國家關鍵的戰略資訊只有持續的建立綠能場域的資料收集才能檢討修正我的綠能政策進行科學化的數據來支持國家綠能永續的發展 |
transcript.whisperx[88].start |
3703.211 |
transcript.whisperx[88].end |
3706.052 |
transcript.whisperx[88].text |
總結面對國際碳排的近鄰趨勢產業為製造出口導向的台灣綠能是不可不為的方向這也是要替我們民進黨執政黨來講為什麼強力的發展這個綠能發電本身也生以為農但是我覺得我們還是要很審慎的對後續在這個穩定供電跟調控上 |
transcript.whisperx[89].start |
3730.759 |
transcript.whisperx[89].end |
3746.562 |
transcript.whisperx[89].text |
經濟部面臨新型態的綠能明顯為完善的針對分散式電業的科學管理的機制我有三項的要求第一個請臺電於一個月內提供其經營綠電場域的再生能源養護、修復能力 |
transcript.whisperx[90].start |
3748.963 |
transcript.whisperx[90].end |
3754.248 |
transcript.whisperx[90].text |
材料量能及環境監管的資料規劃.並請經濟部.額外補助台電新增能力的所需經費.以作為規範民營電廠養父設備的依據. |
transcript.whisperx[91].start |
3765.279 |
transcript.whisperx[91].end |
3767.1 |
transcript.whisperx[91].text |
第二,臺電做示範目前的電廠的營運狀況﹖請他們提出一個規劃案來﹖進而我經濟部能源署建立民營電廠防護及復原的規範﹖ |
transcript.whisperx[92].start |
3780.928 |
transcript.whisperx[92].end |
3789.291 |
transcript.whisperx[92].text |
以降低人為及氣候造成國家電力供應的危機也請經濟部能源署:我也請臺電建立各型綠能氣象風險與環境資訊監管的機制也以此依據你能源署建立起國中央級的綠能環境管理的機制以利要求民營電廠參照臺電的永續經營跟穩定供電部長你怎麼看呢 |
transcript.whisperx[93].start |
3810.322 |
transcript.whisperx[93].end |
3823.813 |
transcript.whisperx[93].text |
非常謝謝委員有系統的在呈現這幾個問題那委員這三個意見我們會按照委員的指示來辦理謝謝因為這個是目前能源署沒有去注意到的謝謝部長謝謝謝謝委員好謝謝接下來我們請邱益穎委員請做詢答謝謝主席我是不是請夏部長我們再請王部長 |
transcript.whisperx[94].start |
3845.086 |
transcript.whisperx[94].end |
3851.274 |
transcript.whisperx[94].text |
部長早部長今天幾個問題跟您請教最近大概大家對於食安的問題又開始重視 |
transcript.whisperx[95].start |
3856.728 |
transcript.whisperx[95].end |
3878.268 |
transcript.whisperx[95].text |
經濟部大概主責這所謂的公司登記我們看到這一家蘇丹紅進口蘇丹紅辣椒粉的這一家公司的這個負責人叫做李彥廷先生他用人頭分別成立了10家在同一個地址的10家的人頭公司經濟部說現在要開始清查我不曉得這個進度是如何 |
transcript.whisperx[96].start |
3880.59 |
transcript.whisperx[96].end |
3896.008 |
transcript.whisperx[96].text |
經濟部如何對於像類似這樣的人頭公司登記在同一個地址但是他不曉得有沒有實際在運作或者是出了事情就趕快再換一個負責人換一個公司這件事情經濟部的處理態度是什麼 |
transcript.whisperx[97].start |
3897.149 |
transcript.whisperx[97].end |
3902.113 |
transcript.whisperx[97].text |
謝謝所以這個在院裡面已經成立跨部會的小組來討論這個事情那現在我們經濟部就衛福部這邊如果給我們資料比如說A公司那這個A公司給我們之後我們就會就這個A公司同一個地址 |
transcript.whisperx[98].start |
3912.782 |
transcript.whisperx[98].end |
3925.845 |
transcript.whisperx[98].text |
或者負責人有沒有相同或者是其他的公司有沒有相同等等只要有一個相同我們就會把資料撈出來回饋給衛福部有需要等衛福部給你們資料比如說你的電腦裡頭應該很容易去撈出登記在相同地址的這樣的一個公司尤其是食品業者這個要防範成立人頭公司我覺得你們應該是趕快先去把這一些 |
transcript.whisperx[99].start |
3942.128 |
transcript.whisperx[99].end |
3944.749 |
transcript.whisperx[99].text |
类似的人头公司的资料都把它捞出来了。 |
transcript.whisperx[100].start |
3961.997 |
transcript.whisperx[100].end |
3983.768 |
transcript.whisperx[100].text |
外府部或者是農業部我覺得類似相關的不管是食安或者是其實很多的這一些所謂的人頭公司啦我覺得防堵人頭公司不只在食安的這一塊我們要去進行防堵可能很多的這一些虛擬的公司人頭的公司這一些可能經濟部也要去我們都會做最大的努力來協助 |
transcript.whisperx[101].start |
3984.648 |
transcript.whisperx[101].end |
3992.879 |
transcript.whisperx[101].text |
講到食安的問題就不能不談台糖公司的這個所謂的瘦肉精怡雲部長921比1的檢驗報告出來 |
transcript.whisperx[102].start |
3998.939 |
transcript.whisperx[102].end |
4011.71 |
transcript.whisperx[102].text |
我真的不曉得他真的是台糖會使用西布特羅這個瘦肉精嗎?看起來我們的食安辦已經公布了結果就是這是一個單一事件但他沒有辦法排除檢驗污染的風險921比1的調查結果 |
transcript.whisperx[103].start |
4016.786 |
transcript.whisperx[103].end |
4045.884 |
transcript.whisperx[103].text |
我相信大概國人都看得非常的清楚但是在這個過程當中對於台糖公司所造成的影響這個是你們台糖公司自己計算的啦大概這個事件影響的損失程度大概是5128萬大概是你可以計算出來的有形的損失無形的損失是台糖公司長年建立的這個商域因為這樣的一件 |
transcript.whisperx[104].start |
4047.458 |
transcript.whisperx[104].end |
4055.268 |
transcript.whisperx[104].text |
突如其來或者是不知從哪裡污染到的這樣的一件豬肉對台糖公司所造成的商域影響 |
transcript.whisperx[105].start |
4057.392 |
transcript.whisperx[105].end |
4061.813 |
transcript.whisperx[105].text |
這個價格是無法計算的我要請問部長跟台糖公司你們要不要求償要不要採取法律行動對於台中市政府來求償部長謝謝那我想這個食安辦前一陣子前幾天也開了會那確認在我們這個相關的飼養屠宰過程應該是都沒有問題所以我想對台糖來說最需要的是 |
transcript.whisperx[106].start |
4085.459 |
transcript.whisperx[106].end |
4087.66 |
transcript.whisperx[106].text |
回復他的信譽回復國人對台糖對國產豬的一個信心我想這個是最重要的那而在這個報告裡面呢最後對於為什麼會有一個單一簡體的這個部分的這樣的情形呢 |
transcript.whisperx[107].start |
4103.069 |
transcript.whisperx[107].end |
4122.953 |
transcript.whisperx[107].text |
確實是沒有辦法排除但是也沒辦法肯認是怎麼一回事所以這是一個羅生門啊為什麼會只有這一包或者是只有那一塊肉有西部特羅其他的是完全沒有但是就台糖所有的飼養的過程裡頭包括你的原料飼料進口完全不含西部特羅這個是完全確認的但是這樣的一個事件對於台糖所造成的損失我認為台糖不能就這麼算了啦 |
transcript.whisperx[108].start |
4132.673 |
transcript.whisperx[108].end |
4159.477 |
transcript.whisperx[108].text |
即使台糖是國營公司我認為台糖不能就這麼算了啦你們的損失我覺得不止這個五千一百多萬欸那這個商域一旦被破壞了要重新回復名譽你要花多少的時間甚至你要花多少的心力、精神、金錢才有辦法所以我建議我是支持台糖公司提告、求償 |
transcript.whisperx[109].start |
4161.226 |
transcript.whisperx[109].end |
4167.753 |
transcript.whisperx[109].text |
那也讓任何的檢驗單位其實在對於這樣的事件的發布都應該要更審慎 |
transcript.whisperx[110].start |
4170.046 |
transcript.whisperx[110].end |
4193.445 |
transcript.whisperx[110].text |
董事長您同意我的看法嗎?謝謝委員對台堂的鼓勵啦因為根據食安辦的這個報告那我們的法律顧問目前也正在研擬相關的意見所以我們會根據法律顧問的這個法律意見書再來做一些研議不過我要跟委員報告就是今天的報紙也有報導台中市的食安辦 |
transcript.whisperx[111].start |
4194.646 |
transcript.whisperx[111].end |
4212.802 |
transcript.whisperx[111].text |
他們,台中市的13處他們的這個主管有提到他們也會包括這一次的檢驗方面有哪一些需要再精進的,我覺得台中市的...雙方都有意思要對這個單一事件來進行和解就是了啦,是不是這樣?我們會再嚴厲主席有意見,不要說和解啦,雙方要對這件事情來進行和談 |
transcript.whisperx[112].start |
4225.786 |
transcript.whisperx[112].end |
4232.253 |
transcript.whisperx[112].text |
這是我的質詢接下來我要請教部長您剛花了很長一段時間大概談到台灣的整個經濟的現況跟我們的不管是產業我們需要的電力的情況 |
transcript.whisperx[113].start |
4245.067 |
transcript.whisperx[113].end |
4265.497 |
transcript.whisperx[113].text |
這個RE100其實應該是現在的這些企業非常重視也非常在乎的事情嘛全球大概有350家的企業去響應了RE100台灣大概現在有31家那我要請教就是說到底RE100它要用到的一定是綠電台灣的綠電 |
transcript.whisperx[114].start |
4268.12 |
transcript.whisperx[114].end |
4297.077 |
transcript.whisperx[114].text |
到底夠不夠現在的31家不代表永遠只有這31家嘛你要踏入國際一定是還要持續使用一定要得到RE100的認證所以台灣的綠電到底夠不夠那這個部分我們其實每一季都滾動的檢討那滾動檢討的原因是在我們的供給面也都會增加那第二個需求面的這些廠商呢他也可能因為他的客戶的要求 |
transcript.whisperx[115].start |
4297.637 |
transcript.whisperx[115].end |
4306.559 |
transcript.whisperx[115].text |
或者他要可能時程上他有不同所以我們都會問他綠電的需求是怎麼樣的情形那也跟委員報告就是說他們對國際大廠給他們綠電的需求確實都有在增加部長我這邊拿到的資料我跟您確認一下就是說2023年我們的綠電供給量大概是265億度 |
transcript.whisperx[116].start |
4323.304 |
transcript.whisperx[116].end |
4347.739 |
transcript.whisperx[116].text |
高於當年的潛在需求量118億度所以我們看起來綠電的供給量是夠的但是你們實際的供轉量只有17億度其他的是不是大概都是拿去賣掉了那你們現在在去年推動了所謂的小額綠電交易這樣的一個平台從去年10月25號上架開始競標 |
transcript.whisperx[117].start |
4350.521 |
transcript.whisperx[117].end |
4358.924 |
transcript.whisperx[117].text |
我想要更進一步瞭解你們到底競標的成效是什麼?如果今天來不及回答的話是不是也請經濟部給本席資料?我跟委員說明那個17億度其實是指他原來賣給台電那後來跟台電分手了 |
transcript.whisperx[118].start |
4368.228 |
transcript.whisperx[118].end |
4368.248 |
transcript.whisperx[118].text |
好,謝謝 |
transcript.whisperx[119].start |
4395.543 |
transcript.whisperx[119].end |
4423.783 |
transcript.whisperx[119].text |
接下來我們請謝依峰委員請做詢談謝謝主席我想要請王部長請王部長委員好部長到底現在電價是要漲多少 |
transcript.whisperx[120].start |
4425.01 |
transcript.whisperx[120].end |
4428.214 |
transcript.whisperx[120].text |
是全面性還是只是工業大戶呢? |
transcript.whisperx[121].start |
4433.949 |
transcript.whisperx[121].end |
4442.734 |
transcript.whisperx[121].text |
現在目前這個相關的工作小組正在相關的討論當中是執掌工業大戶然後像那個半導體業者還是應該這樣講就是說我們這幾天也讓大家知道對於台電的這個財務的虧損確實是蠻大的那所以我們第一個優先來爭取政府的補貼 |
transcript.whisperx[122].start |
4456.101 |
transcript.whisperx[122].end |
4471.561 |
transcript.whisperx[122].text |
議員議員議員 |
transcript.whisperx[123].start |
4471.561 |
transcript.whisperx[123].end |
4471.601 |
transcript.whisperx[123].text |
12項實話的終止議 |
transcript.whisperx[124].start |
4488.131 |
transcript.whisperx[124].end |
4505.657 |
transcript.whisperx[124].text |
﹏﹏﹏ |
transcript.whisperx[125].start |
4505.697 |
transcript.whisperx[125].end |
4520.887 |
transcript.whisperx[125].text |
因為很多國外的買家跟他們要求就是你也知道就所謂的臺灣家他希望在臺灣以外的東南亞再設置新的生產的基地那對於 |
transcript.whisperx[126].start |
4522.007 |
transcript.whisperx[126].end |
4525.67 |
transcript.whisperx[126].text |
對於台灣的經濟當然我們知道說經濟部現在規劃的是我們朝向高職化的但是在這個銜接的過程當中其實我們還是有非常多條件上面的問題是不是 |
transcript.whisperx[127].start |
4548.406 |
transcript.whisperx[127].end |
4551.507 |
transcript.whisperx[127].text |
謝謝委員那確實有幾個不同的面向那包括比如說石化業好了那我們其實這個在這個去年開始就跟石化業非常密集來討論石化業確實怎麼樣升級轉型以及做國際的分散佈局那所以我們今年會特別石化業剛才我也提到連結這個機械甚至紡織一起來打新興市場那這個政府確實每個禮拜 |
transcript.whisperx[128].start |
4575.652 |
transcript.whisperx[128].end |
4575.672 |
transcript.whisperx[128].text |
韓國瑜議員 |
transcript.whisperx[129].start |
4600.718 |
transcript.whisperx[129].end |
4612.329 |
transcript.whisperx[129].text |
面對現在的國際情形台灣的強項那怎麼樣做更好的一個爭取戰其實都一定會要趕快加速特別是有幾個產業中國其實有一點這個over capacity他的產能過剩的問題其實在未來的兩三年會越來越明顯 |
transcript.whisperx[130].start |
4620.416 |
transcript.whisperx[130].end |
4645.306 |
transcript.whisperx[130].text |
但是其實對於這些中小企業或者是外銷為主的這些生產的廠家而言他們認為說就是說在這種我們電價還有這些相關的就是關稅的談判都沒有辦法有突破的情況下讓他們在台灣生產變成非常嚴峻的問題那這也會造成失業率的問題等等的 |
transcript.whisperx[131].start |
4645.666 |
transcript.whisperx[131].end |
4647.348 |
transcript.whisperx[131].text |
這個部分兩個面向一個就是說事實上台灣是有一個非常綿密的供應鏈所以在台灣的好處有台灣的優點那另外一方面就是說電價的部分或者節電的部分或者減碳本來就是個國際大趨勢 |
transcript.whisperx[132].start |
4662.305 |
transcript.whisperx[132].end |
4689.736 |
transcript.whisperx[132].text |
所以政府願意花比較多的資源來對這個中小企業他低碳化智慧化的部分來讓他節省相關的支出而且坦白講那個國際客戶也好或者他的供應鏈也都會看他有沒有做好這些ESG的減碳的工作那所以這個部分我們一定會去協助中小企業那委員如果有需要我們也其實都非常樂意到各個中小企業的聚落去跟他們做一個交流 |
transcript.whisperx[133].start |
4690.496 |
transcript.whisperx[133].end |
4716.03 |
transcript.whisperx[133].text |
還有其實我有看到那個我們的PPI跟CPI的指數那每一次的電價上漲的你看電價如果調整的時候PPI就是生產物價指數那就是製造端所就是說它的生產成本就增加那所以造成就是整個兩個都是雙漲的情況那代表了我們只要漲電價它就會轉嫁到所有的消費者的身上 |
transcript.whisperx[134].start |
4716.61 |
transcript.whisperx[134].end |
4743.388 |
transcript.whisperx[134].text |
所以這也就是為什麼大家在跟部長說的民生電價的部分如果你已經漲工業電價其實就會影響到民生的這個就是消費者的指數了那未來如果再漲民生電價那就是等於對他們來講就是雙重漲價那全部都會讓所有的民眾認為他們的痛苦指數有可能就會攀升 |
transcript.whisperx[135].start |
4744.308 |
transcript.whisperx[135].end |
4744.829 |
transcript.whisperx[135].text |
但是今天兩次都沒有名聲,對不對? |
transcript.whisperx[136].start |
4759.125 |
transcript.whisperx[136].end |
4767.51 |
transcript.whisperx[136].text |
小商家的部分或者民生用電的部分確實都有做不同的你用電量的大小做不同的一個規劃那這個就是在過去的兩次的漲價裡面不斷的在優化這個相關的一個機制 |
transcript.whisperx[137].start |
4776.074 |
transcript.whisperx[137].end |
4804.202 |
transcript.whisperx[137].text |
對可是我必須要告訴部長從這個歷史的數字看來只要你就是工業的電價漲那對於就是物價指數就會造成聯動性的這是聯動性從PPI跟CPI來看就是聯動性的這樣子的漲幅所以你必須要看再來就是3月15日聽說我們的碳費審議委員會也要登場了是不是 |
transcript.whisperx[138].start |
4805.483 |
transcript.whisperx[138].end |
4824.616 |
transcript.whisperx[138].text |
這個也會影響到製造業者,是不是?相關的碳費的審議這邊是環境部會開始來召開我知道,可是你們經濟部一定要密切關注嗎?我們會,我們其實對這個...你們目前掌握的情況是如何的?因為第一次好像是這個禮拜五才開始召開 |
transcript.whisperx[139].start |
4826.978 |
transcript.whisperx[139].end |
4835.284 |
transcript.whisperx[139].text |
之前我們其實也有跟產業界有做非常多的溝通我們也會把產業界的這些意見也有反映給這個環境部 |
transcript.whisperx[140].start |
4857.018 |
transcript.whisperx[140].end |
4862.56 |
transcript.whisperx[140].text |
所以這個相關的會不會影響啊對不對我們現在看起來好像我們的接單很順暢但是在這種雙重的影響下漲電價然後開徵碳費會不會對於我們的製造業以及我們的景氣預估有相關的影響那經濟部的評估是怎麼樣謝謝委員提醒那所以在經濟部的電價部分那所以我們才會一直來爭取政府的補貼做最優先 |
transcript.whisperx[141].start |
4886.97 |
transcript.whisperx[141].end |
4892.275 |
transcript.whisperx[141].text |
那那個相關的這個影響產業的通膨PPI等等我們也會非常審慎那不過就是說確實台灣的這個電價的漲其實都比其他國家緩非常多那甚至我們看到韓電他在去年底已經變成轉虧為盈了他甚至都還那他就是韓電漲了84%等等那所以對台灣來講我們確實是更為謹慎 |
transcript.whisperx[142].start |
4915.234 |
transcript.whisperx[142].end |
4915.434 |
transcript.whisperx[142].text |
張綺楷委員 |
transcript.whisperx[143].start |
4951.751 |
transcript.whisperx[143].end |
4953.196 |
transcript.whisperx[143].text |
王美芳、王部長 |
transcript.whisperx[144].start |
4962.463 |
transcript.whisperx[144].end |
4988.897 |
transcript.whisperx[144].text |
我們繼續來談苦民所苦,民生第一我們現在重點還是在1000度以下的民生用電能不能不要漲那討論之前我們就要談一個比較輕鬆的這民眾統計就是水電雙漲對不對今天兩個紅胎共伴效應這叫藤原效應嘛所以你今天能不能很明確的跟全國民眾講今年年底之前水價不會漲 |
transcript.whisperx[145].start |
4991.117 |
transcript.whisperx[145].end |
5018.15 |
transcript.whisperx[145].text |
水價的部分我們當然會很謹慎那我們也會希望這個台水公司能夠有好的一個支撐那這個我們會再跟院裡面來討論相關的這個台水的相關計畫應該是台水李董說有可能要去嘛李董你先站一下沒關係請站一下不過我只要今天部長對著我們全國民眾做一個允諾就好了 |
transcript.whisperx[146].start |
5019.58 |
transcript.whisperx[146].end |
5026.848 |
transcript.whisperx[146].text |
盡量不要在今年年底 漲水價好不好 這個會變成兩個颱風的共伴效應 謝謝委員提醒目前還沒有規劃啦是 你能不能對著民眾說讓他們不要擔心盡量在今年年底 盡量在今年年底不要去水價可以嗎 |
transcript.whisperx[147].start |
5040.661 |
transcript.whisperx[147].end |
5062.286 |
transcript.whisperx[147].text |
謝謝委員建議我們會把委員的建議這個做參考你可以努力嗎?這方面可以努力這是避免物價整個再上來嘛物價上漲就跟那個變了心的女朋友就回不來喔你水跟電都漲這個到時候你看每次漲上去都沒有下來好不好不要像那個變心的女朋友一樣好不好好謝謝委員好來那我們接下來來談上葉 |
transcript.whisperx[148].start |
5065.626 |
transcript.whisperx[148].end |
5089.683 |
transcript.whisperx[148].text |
苦民守苦,我們今天繼續談這已經是第三度本席提到民生用電不要漲了我們看一下這個天平左邊非常明顯高獲利可是也是高耗電的高科技用了台灣絕大部分的電對不對他們雖然是獲利非常的多可是呢有些 |
transcript.whisperx[149].start |
5091.138 |
transcript.whisperx[149].end |
5092.779 |
transcript.whisperx[149].text |
臺電每賣給臺積電的電臺積電一年用了我們200億的200億度電的電錢跟臺電買的時候 |
transcript.whisperx[150].start |
5119.765 |
transcript.whisperx[150].end |
5121.486 |
transcript.whisperx[150].text |
委員這個建議我們也確實都會在工作小組裡面去參考 |
transcript.whisperx[151].start |
5146.056 |
transcript.whisperx[151].end |
5171.38 |
transcript.whisperx[151].text |
現在媒體報的是說這次的這個半導體超過50億、51億、一年用50億以上的51億度電的是要調25%到30是不是?他們正在討論都還沒有定案有這個方向是吧?細節因為我沒有參與所以我不了解好那這個天秤的同時我為什麼一開始講這一邊當然我們非常敬佩 |
transcript.whisperx[152].start |
5172.185 |
transcript.whisperx[152].end |
5196.971 |
transcript.whisperx[152].text |
高科技對我們台灣經濟的發展的這個貢獻你看張忠謀創辦人他是非常有企業責任社會責任他都提到說可以他願意徵這個富人稅嘛對不對我相信在我們的肯定高科技半導體對我們台灣經濟貢獻的時候這是條件的時候他們可能是像你們規劃的應該多負擔一點那在多負擔一點的同時是不是在兩層五到三層的同時我們看看右邊 |
transcript.whisperx[153].start |
5199.127 |
transcript.whisperx[153].end |
5214.495 |
transcript.whisperx[153].text |
可憐的是一般的老百姓一千度以下的是小康之家是小商店一直要等著什麼高通膨實質的薪資負成長通膨這個是主計數的統計2020年2.95這算很高了2023年2.49今年一過CPI稍微降下一點點最讓人家擔心的二月份衝破3 |
transcript.whisperx[154].start |
5227.498 |
transcript.whisperx[154].end |
5253.448 |
transcript.whisperx[154].text |
CPI衝破3.08國發會直接評估了說電價如果漲10%的話CPI直接會有建制影響性0.2到0.3%所以真的要非常非常的謹慎對物價的衝擊不要造成人民已經很苦了這時候電價一漲他們的生活更苦那今天還有更新的新聞我給部長看一下來今天是各報還有各個電視台頭條的新聞 |
transcript.whisperx[155].start |
5257.059 |
transcript.whisperx[155].end |
5284.403 |
transcript.whisperx[155].text |
通膨怪獸又突襲美國今天統心的統計美國的二月的CPI連增多少?3.2%核心的CPI連增了3.8%這個都顯示不是只有美國整個台灣的經濟跟物價都受到很大的一個衝擊所以拜託補定拜託補定 再拜託一次是1000度以下的民生用電在開會的時候盡量爭取不要漲好不好 |
transcript.whisperx[156].start |
5285.736 |
transcript.whisperx[156].end |
5313.141 |
transcript.whisperx[156].text |
謝謝委員的建議,我們各方的意見都會收集,是OK,盡量往這個方向走,好不好那另外我在爭取幫全民講話的時候,我們再看下一張至少讓物價不要上漲的同時有一個方法除了補償電價之外,就是盡量去補助小商家跟小商店對不對是小商家小商店他如果不苦,他沒有調高他價格,人民就不會受苦嘛 |
transcript.whisperx[157].start |
5314.338 |
transcript.whisperx[157].end |
5329.389 |
transcript.whisperx[157].text |
所以最近馬上要開行政院的物價平穩小組是不是?是。最近要開嘛對不對?你能不能建議第一個小商家的小商店的統裝瓦斯跟天然氣在今年年底之前只能降,不要漲? |
transcript.whisperx[158].start |
5332.893 |
transcript.whisperx[158].end |
5349.661 |
transcript.whisperx[158].text |
這個部分跟委員報告我們已經很久沒有站我們現在賣給他是8塊多可是成本委員知道多少嗎?最高是16塊那現在雖然降一點大概15塊、14塊可是事實上我們基本上是半價桶裝瓦斯在賣給用桶賣給賣給商家這個是好的措施而且我幫你查過了天然氣的價格是在往下掉的 |
transcript.whisperx[159].start |
5361.243 |
transcript.whisperx[159].end |
5382.236 |
transcript.whisperx[159].text |
但是掉還是有十幾塊所以我的要求是合理的我說至少在今年年底你只能降不要再漲好不好我們對小商家都會優於考慮不是我說很具體的能不能做這樣的承諾因為老實講他已經在降了對不對那所以如果降的話你就跟著降 |
transcript.whisperx[160].start |
5383.465 |
transcript.whisperx[160].end |
5407.565 |
transcript.whisperx[160].text |
因為老蔣對小商店跟小店家吃麵吃飯他們影響很大就是他們的瓦斯嗎?這些統裝瓦斯確實我們有特別照顧所以能不能做一個很清楚的保證就是在今年年底之前只會降不會漲我們一定會優於考慮我已經看到我們過去這兩三年都沒有漲這個已經都乖離成本很多了 |
transcript.whisperx[161].start |
5408.946 |
transcript.whisperx[161].end |
5413.029 |
transcript.whisperx[161].text |
公平會跟九佳民營電廠打官司這個事情他最新的進度是公平會贏了 |
transcript.whisperx[162].start |
5437.113 |
transcript.whisperx[162].end |
5457.968 |
transcript.whisperx[162].text |
公平會贏了,然後公平會的主委我禮拜一的時候質詢的時候他們說現在重點在下一張,現在到底要到底要罰他多少錢公平會本來罰他的是63.2億現在要改罰可能60.7億因為兩個重點喔,第一是發多少錢第二個更重要的他認定說九家民營電廠的聯合行為 |
transcript.whisperx[163].start |
5460.115 |
transcript.whisperx[163].end |
5486.843 |
transcript.whisperx[163].text |
確定已經是事實了,就是說九佳民營電廠已經是已經是敗訴了,已經敗訴了最高行政法院裡面還有一句話非常重要,判決書裡面說的臺電可以去跟任何一家你跟他買電的九佳民營電廠或者是能源公司你可以去跟他議價這就本席一直在強調的,你要臺電在虧損的同時,人民要付錢要漲電費之前所有的你跟他買電的九佳民營電廠,太陽能 |
transcript.whisperx[164].start |
5487.887 |
transcript.whisperx[164].end |
5496.637 |
transcript.whisperx[164].text |
去篩檢一下他合約合不合理有沒有降降空間好不好這個部分我簡單跟委員報告他是兩件事他等於是97年到102年這個之間都沒有來跟台電來談那公平會是針對這一段時間實驗來談有沒有聯合壟斷的問題那公平會判定是有那法院也支持 |
transcript.whisperx[165].start |
5510.311 |
transcript.whisperx[165].end |
5512.852 |
transcript.whisperx[165].text |
目前他們這個案子在上訴當中他們在再審這個是針對聯合壟斷至於這個電價的部分102年台電就跟他們已經議價完成了目前是針對102年之前到97年到102年之間的這個遲延的部分台電有去打官司要求這個部分那一二審都輸掉了 |
transcript.whisperx[166].start |
5535.598 |
transcript.whisperx[166].end |
5546.491 |
transcript.whisperx[166].text |
那目前是法院有發回在審理當中那這個我們也會注意委員提醒的這個事情來做所以法定人員要更努力去爭取把這個官司打贏這是一個我現在在提醒你就是說當初為什麼酒店名店長會被罰 |
transcript.whisperx[167].start |
5552.517 |
transcript.whisperx[167].end |
5580.516 |
transcript.whisperx[167].text |
他們跟台電講說我的那個天然氣往上走啦所以你要幫我調嘛 對不對那台電這邊提的是什麼你利息從8%降到2%結果台電勾一郎啊台電被九佳民營電廠欺負啦他幫他調了天然氣的這個成本就跟你這次一樣喔天然氣答應他啦可是往下的利息沒有降沒有降所以最高行政法院講了一句話台電有權利去跟他繼續議約不是只有對九佳民營電廠旗桿現在本席現在在力爭的是什麼 |
transcript.whisperx[168].start |
5582.657 |
transcript.whisperx[168].end |
5598.242 |
transcript.whisperx[168].text |
包括太陽能力都出現了,你看雲豹19間,還有黃偉哲那個案子,我說那個有弊案的能不能好好去每一個合約拿出來談一下能不能去談我跟委員報告,雲豹到今年開始他97%全部都直接賣給民間他都是直接賣給民間可是你之前買他的合約為什麼產生那麼多弊案 |
transcript.whisperx[169].start |
5604.224 |
transcript.whisperx[169].end |
5624.603 |
transcript.whisperx[169].text |
沒有沒有 這個不是 那麼多家 其實國際上都一樣 不同的太陽光電案場 它都是一個BPI的概念它就是會有一個子公司 但是它不是為了逃避 它全世界我們去看的都是一樣部長 等一下我會把文書送給你 最高行政法院裡面有一句話非常重要 |
transcript.whisperx[170].start |
5624.983 |
transcript.whisperx[170].end |
5625.503 |
transcript.whisperx[170].text |
謝謝委員資訊 謝謝部長我們現在請楊瓊英委員資訊 謝謝 |
transcript.whisperx[171].start |
5661.853 |
transcript.whisperx[171].end |
5663.495 |
transcript.whisperx[171].text |
業主席本席想邀請部長請自來水董事長請台電公司 |
transcript.whisperx[172].start |
5674.793 |
transcript.whisperx[172].end |
5695.364 |
transcript.whisperx[172].text |
部長,因為物價讓大家都蠻緊張的,又通膨,物價在升高。國防會的主委也說電價調漲確實會推升物價上漲,而且還不包括間接的效果。那你認同國防會主委這一句話嗎? |
transcript.whisperx[173].start |
5697.586 |
transcript.whisperx[173].end |
5701.531 |
transcript.whisperx[173].text |
電價跟物價的部分我們各個機關都會很謹慎來看待是表示你也知道國防會主委所說的電價調漲確實會推升物價調漲 |
transcript.whisperx[174].start |
5717.256 |
transcript.whisperx[174].end |
5733.643 |
transcript.whisperx[174].text |
他有相關的這個模型 經濟的模型所以你也知道 電價漲 物價會漲 對不對是 是喔 好 那所以我們的方向一致我們才能夠討論那剛剛有委員說 有我們臺水的董事長說要調調高這個水費 有這回事嗎董事長有沒有 目前沒有董事長你說沒有 我放心 董事長你會這麼說嗎 有嗎 |
transcript.whisperx[175].start |
5744.108 |
transcript.whisperx[175].end |
5753.011 |
transcript.whisperx[175].text |
這個是政策性的問題你有說嗎?跟委員報告是媒體有在關心這個議題你有說今天要調漲水價嗎?沒有我願意給你置信的機會嘛因為我不認為你會這麼大 |
transcript.whisperx[176].start |
5764.497 |
transcript.whisperx[176].end |
5764.637 |
transcript.whisperx[176].text |
拜託放心! |
transcript.whisperx[177].start |
5781.033 |
transcript.whisperx[177].end |
5806.573 |
transcript.whisperx[177].text |
水會不會漲?你請回座接下來我們討論電的問題因為部長我們剛剛說了電如果漲物價會漲你也認同那3月7日衛福部才說取消全國醫療院所的掛號費漲價的上限那所以呢馬上所以醫療院所立馬還漲這個是只要政府有一個決策那 |
transcript.whisperx[178].start |
5807.742 |
transcript.whisperx[178].end |
5823.256 |
transcript.whisperx[178].text |
大家都會應對上來所以4月份電價要全面調漲的訊息一出來就已經開始有物價在漲我們問了為什麼會漲他說因為政府說下個月要漲那麼有確定要漲嗎?不漲?目前的這個電價審議會都在審理當中那你所送的資料是要漲的? |
transcript.whisperx[179].start |
5834.236 |
transcript.whisperx[179].end |
5854.084 |
transcript.whisperx[179].text |
目前因為我們也跟我們報告過 因為我們第一個優先爭取補貼 第二個就相關的方案政府有沒有告訴你一定要補貼你多少了 因為我們全力支持你啊 第一項把它做完整就好了 是 |
transcript.whisperx[180].start |
5854.984 |
transcript.whisperx[180].end |
5862.166 |
transcript.whisperx[180].text |
你都不會再物價漲啊全部又亂掉啊什麼時候會告訴我們政府要補貼多少你的儘快是多快你的儘快是多快 這個月底會不會告訴我們對 那院的決策什麼時候會因為這個月底就要店家審議嘛委員會要審啊 |
transcript.whisperx[181].start |
5879.994 |
transcript.whisperx[181].end |
5903.53 |
transcript.whisperx[181].text |
那可不可以告訴我們下個禮拜前能不能告訴我們你所溝通的我們全力支持啊不然我們去拜託行政院都沒有關係啊全部做你的後盾好不好第一個你的方案執行到位電就不要漲了民生用電330度以下本席一直堅持不能漲不能漲不能漲很嚴肅的議題所以我漲了三次下個禮拜能不能告訴我們行政院告訴我們 |
transcript.whisperx[182].start |
5910.063 |
transcript.whisperx[182].end |
5910.744 |
transcript.whisperx[182].text |
因為稅直接讓人民得到公道 |
transcript.whisperx[183].start |
5920.509 |
transcript.whisperx[183].end |
5942.985 |
transcript.whisperx[183].text |
那下個禮拜可不告訴我們行政院到底會補貼我們多少?可不可以?這個部分我們會來跟行政院趕快確認這件事情部長你都說趕快啊所以我還給你多點時間啊下個禮拜前告訴我們到底行政院針對目前的危機他到底要給台電補貼多少好不好跟多少預算來不算補貼啦 |
transcript.whisperx[184].start |
5946.067 |
transcript.whisperx[184].end |
5946.328 |
transcript.whisperx[184].text |
我本人願意 |
transcript.whisperx[185].start |
5958.243 |
transcript.whisperx[185].end |
5985.311 |
transcript.whisperx[185].text |
去拜託行政院我都願意為人民我都願意下個禮拜前告訴我們政府到底要補貼給台電多少好不好我們再實質討論創了19個月如果依照您所送的版本我們20年來沒有調生的小用戶在這一次你都要調那換句話說民生用電至少調5%那也是19年來最高的最高的 |
transcript.whisperx[186].start |
5986.092 |
transcript.whisperx[186].end |
5990.674 |
transcript.whisperx[186].text |
政府部門都告訴我們 如果調漲電價就會推升物價 喔我們差在等咧 我們真的差在等咧 這要怎麼辦 所以我告訴你 如果電價漲10% 那麼你的CPI0.12% |
transcript.whisperx[187].start |
6004.534 |
transcript.whisperx[187].end |
6030.694 |
transcript.whisperx[187].text |
再加上間接的CPI會漲到0.2到0.3這個數字都是公開透明的那如果因此呢會讓我們CPI迅速增到上升到2%他會觸及到這一句話很嚴肅他會觸及到通膨的警戒線部長你沒憂心啊人家那個國防部長啊都說他煩惱的晚上睡不著 |
transcript.whisperx[188].start |
6031.536 |
transcript.whisperx[188].end |
6050.932 |
transcript.whisperx[188].text |
那你有沒有憂心啊?你有沒有憂心去及到通膨的警戒線?你有沒有憂心?有沒有憂心?我們確實各部門確實都很努力讓台灣的通膨來減緩我想過去這兩三年委員應該也看得到你這麼回答也表示你憂心憂心我要實質作為我要請教傳統產業你給它漲價它就要倒了你再給它漲它倒了就爬不起來了啦 |
transcript.whisperx[189].start |
6060.905 |
transcript.whisperx[189].end |
6075.624 |
transcript.whisperx[189].text |
所以我們現在我曾經告訴你拜託支持我們的產業支持我們的產業你不能夠倒啦傳統產業不能倒啦倒的糟糕啦所以在這樣的情況下你的配套是什麼你怎麼協助他 |
transcript.whisperx[190].start |
6076.425 |
transcript.whisperx[190].end |
6076.846 |
transcript.whisperx[190].text |
本期還是拜託你拜託你啦 |
transcript.whisperx[191].start |
6101.213 |
transcript.whisperx[191].end |
6125.9 |
transcript.whisperx[191].text |
傳統產業你不可以去啦!三百三十多億的民生用電你不可以去啦!好不好?因為你要穩住我們的民生啊!穩住我們的物價啊!對不對?一起來做!配套給我!我們到目前為止看不到你要怎麼機器漲價之後傳統產業的配套方案在哪裡?讓他們能夠屹立不搖不能倒! |
transcript.whisperx[192].start |
6127.076 |
transcript.whisperx[192].end |
6147.33 |
transcript.whisperx[192].text |
你詳細書面資料給本席,好不好?我已經問了第三次,我還得不到你口中所說的配套措施只告訴我們一起來維護,怎麼維護?請你把書面資料詳細給本席本席要求,垃圾不放棄因為這是觸及整個全國每一家都要用到 |
transcript.whisperx[193].start |
6148.325 |
transcript.whisperx[193].end |
6165.457 |
transcript.whisperx[193].text |
你最能夠直接照顧你能不能答應我在年底以前我們的瓦斯統統瓦斯燈瓦斯不能漲好不好是我們統統瓦斯你答應不要漲我也給你暫許好不好我們一家有330度以下的民生業店請不要漲傳統產業不要漲你去盤點啊 |
transcript.whisperx[194].start |
6169.039 |
transcript.whisperx[194].end |
6169.059 |
transcript.whisperx[194].text |
韓國瑜議員 |
transcript.whisperx[195].start |
6199.319 |
transcript.whisperx[195].end |
6199.679 |
transcript.whisperx[195].text |
委員會主席 |
transcript.whisperx[196].start |
6219.284 |
transcript.whisperx[196].end |
6231.448 |
transcript.whisperx[196].text |
防堵這些的技術不當外流你要怎麼樣去強化你的審查流程?是的 這個我們其實也都有跟國際合作 我們都隨時在跟國際合作 那內部的審查流程也都有內部在討論 |
transcript.whisperx[197].start |
6236.05 |
transcript.whisperx[197].end |
6236.85 |
transcript.whisperx[197].text |
最後一個議題循環經濟第1這是大家都最在討論的議題本席要請問 |
transcript.whisperx[198].start |
6255.18 |
transcript.whisperx[198].end |
6266.345 |
transcript.whisperx[198].text |
大家全世界聯合國世界各國都在做循環經濟的概念我們也配合我們跟國際接軌你的執行率你看2021年到2023年3年3556萬8千元你看看你的成績指標 |
transcript.whisperx[199].start |
6273.993 |
transcript.whisperx[199].end |
6291.546 |
transcript.whisperx[199].text |
你的成績指標,你的學術成績有入文,零技術創新智慧財產,零技術創新辦理技術研討會,一場經濟效益促進廠商投資的建築一件更新會新增的這個資料庫比例 |
transcript.whisperx[200].start |
6292.546 |
transcript.whisperx[200].end |
6297.288 |
transcript.whisperx[200].text |
三十筆那這樣的計畫是低到不能再低的KPI本期請教部長你滿意嗎你滿意嗎委員這個字有點小齁我回去確認一下再跟委員做一個什麼叫字有點小我已經口頭已經數字明明白白的告訴你了你定定的這樣的KPI你滿意嗎 |
transcript.whisperx[201].start |
6314.936 |
transcript.whisperx[201].end |
6322.963 |
transcript.whisperx[201].text |
好好回去,拿你的放大鏡看清楚這是你在執行的業務欸你還跟我說字比較小 |
transcript.whisperx[202].start |
6324.127 |
transcript.whisperx[202].end |
6344.6 |
transcript.whisperx[202].text |
不能如此好好去檢討全世界的方向我們的KPI 0000只有一件衣你的這個更新資料30筆你滿意嗎請你回去用放大鏡去看清楚告訴本席你滿意嗎好不好不滿意趕快改進資料跟世界接軌好不好謝謝楊瓊瑛委員的質詢謝謝部長瓊瑛姐 |
transcript.whisperx[203].start |
6360.932 |
transcript.whisperx[203].end |
6362.372 |
transcript.whisperx[203].text |
我們再請王部長 |
transcript.whisperx[204].start |
6391.35 |
transcript.whisperx[204].end |
6412.822 |
transcript.whisperx[204].text |
部長好,部長我想跟你討論一下,你知道我一直很關心這整個生霸電力第二期燃氣他特種建物變更案,對不對?是。然後呢,你明明知道我們很關心,但是呢,你們又越來越便宜行事。 |
transcript.whisperx[205].start |
6414.434 |
transcript.whisperx[205].end |
6443.505 |
transcript.whisperx[205].text |
我一直跟你們要到底你們怎麼決定他所謂的特種建物是不是可以變更而且他的變更我一直強調當一個建物他如果從基底一層一層慢慢變更我相信大家不會有意見可是他是一次完成一次變更被掩蓋在底下的所有的問題沒有人知道但是 |
transcript.whisperx[206].start |
6445.049 |
transcript.whisperx[206].end |
6473.351 |
transcript.whisperx[206].text |
你們就開了一次的會議這個會議是什麼在112年11月15日禮拜三利用我們當時候大家都在選舉的時間點好開了這個會議這個會議裡面找了委員有三個人你們說的委員都沒有意見委員敢背書好厲害喔委員又沒有從 |
transcript.whisperx[207].start |
6474.795 |
transcript.whisperx[207].end |
6504.341 |
transcript.whisperx[207].text |
最基層在他第一次變更的時候就參與了他怎麼能夠看到後面他怎麼能趕上的背書就真的有欸有三個委員說對特建變更部分無意見他怎麼無意見他看到了哪些資料好裡面還有市政府 |
transcript.whisperx[208].start |
6506.198 |
transcript.whisperx[208].end |
6506.919 |
transcript.whisperx[208].text |
市政府也沒意見 |
transcript.whisperx[209].start |
6537.267 |
transcript.whisperx[209].end |
6558.31 |
transcript.whisperx[209].text |
部長如果你住在地方你住在那個附近從頭到尾三十幾項的變更從頭到尾地方沒有人知道到了完成之後提出了特種建物的變更之後大家才了解你敢接受嗎 |
transcript.whisperx[210].start |
6560.712 |
transcript.whisperx[210].end |
6571.874 |
transcript.whisperx[210].text |
跟委員報告整個特建的變更因為當時是審查通過的案子那因為電廠的建設有他的特殊性所以他要根據他實際上所採購的機器設備針對特種建築的部分做比較的他從頭到尾都是變更的從頭到尾跟你們原始送的計畫都不一樣跟他們原本的規劃也都不同 |
transcript.whisperx[211].start |
6587.437 |
transcript.whisperx[211].end |
6597.462 |
transcript.whisperx[211].text |
然後全部蓋完之後才一次給能源署變更然後你們就這幾個委員談談市政府這樣子同意包庇就OK了嗎? |
transcript.whisperx[212].start |
6605.586 |
transcript.whisperx[212].end |
6628.384 |
transcript.whisperx[212].text |
由業者他也根據我們原來通過的原則標準都跟當時通過的原則標準一樣再次的審視那裡一樣?如果真的一樣那為什麼不一項一項的變更?他為什麼不一項一項變更?針對37項那為什麼當時候不一項一項的變更?要一次從頭到尾施工完成之後再一次變更為什麼?為什麼? |
transcript.whisperx[213].start |
6632.838 |
transcript.whisperx[213].end |
6655.396 |
transcript.whisperx[213].text |
今天你蓋房子你一般蓋房子跟地方政府去申請跟各縣市政府去申請的時候你要不要一層一層變更當我們政府國家重大的公共建設的時候要不要一項一項變更報告委員因為在環評階段我們送出去的設計都是比較初期的設計那真正 |
transcript.whisperx[214].start |
6656.577 |
transcript.whisperx[214].end |
6667.759 |
transcript.whisperx[214].text |
通過之後才開始細部設計我舉個例子來講今天他買一個變壓器他這個就是細部設計的變更阿對他是細部設計後來才做細部設計變更他是細部設計的變更他原本就有做細部設計了我告訴你我要質詢你我一定了解很清楚啦他從頭到尾從一開始有細部設計了他現在變更的是細部設計他提出了37項變更就是針對細部設計 |
transcript.whisperx[215].start |
6683.799 |
transcript.whisperx[215].end |
6688.381 |
transcript.whisperx[215].text |
立法院經濟委員會來作出主決議深化電廠多項二期工程以完工之後才進行向能源署申請變更設計 |
transcript.whisperx[216].start |
6709.591 |
transcript.whisperx[216].end |
6731.789 |
transcript.whisperx[216].text |
注多設計與當初環境影響評估的內容不同為考量當地居民權益及公共安全經濟部能源署必須提出調查報告並要求召開地方說明會台南市永康區、新市區、新化區、山上區、佐鎮區否則不得擅自同意申報店長所提出的變更設計請貴單位 |
transcript.whisperx[217].start |
6736.328 |
transcript.whisperx[217].end |
6742.51 |
transcript.whisperx[217].text |
要詳細監督有沒有這是我們的主決議有沒有對啊有這樣的決議那你們憑什麼現在都同意他變更 |
transcript.whisperx[218].start |
6752.774 |
transcript.whisperx[218].end |
6756.957 |
transcript.whisperx[218].text |
要組成一個專案小組來做詳細的審查所以我們才會有外部的委員包括相關的主管機關那你今天就是這份資料嘛找了三個委員然後開了一個會議記錄然後呢就遵循說你們有沒有意見沒有意見這就是背書嘛我很懷疑為什麼這三個委員剛背書啊 |
transcript.whisperx[219].start |
6778.974 |
transcript.whisperx[219].end |
6797.148 |
transcript.whisperx[219].text |
如果發生問題我們可不可以找他算帳可不可以來第二個部分請問這裡面的主決議寫得很清楚喔調查報告並要求召開地方說明會喔如果沒有的話不得擅自同意森巴店長所提出的變更設計喔有沒有 |
transcript.whisperx[220].start |
6797.668 |
transcript.whisperx[220].end |
6812.342 |
transcript.whisperx[220].text |
是跟委員報告就是第一個特件變更完:那委員關心的說明會所以也沒有沒有寫得很清楚你要不得擅自同意深壩電廠所提出的變更設計這是變更設計這個是一個這個特件的變更是一個 |
transcript.whisperx[221].start |
6816.866 |
transcript.whisperx[221].end |
6817.026 |
transcript.whisperx[221].text |
新聞新聞新聞新聞新聞 |
transcript.whisperx[222].start |
6849.168 |
transcript.whisperx[222].end |
6850.168 |
transcript.whisperx[222].text |
那是其中一個部分正當中 |
transcript.whisperx[223].start |
6875.106 |
transcript.whisperx[223].end |
6896.49 |
transcript.whisperx[223].text |
署長你要不要調我之前從頭到尾我所有的質詢我講的就是變更設計就是建築特種建築物的變更案我從頭到尾講的都是這個喔你們現在在跟我玩文字遊戲然後東扯西扯你們現在是為誰拋屁啊我只有問如果地方發生問題誰要擔當誰要負責 |
transcript.whisperx[224].start |
6902.104 |
transcript.whisperx[224].end |
6907.048 |
transcript.whisperx[224].text |
誰要擔當?誰要負責?這個特種建築物變更從頭到尾沒有進行變更一次完成提出37項的變更然後呢你說要調查報告沒有調查報告只有一份所謂的會議紀錄請了三個委員跟台南市政府你們跟我講委員沒有意見台南市政府沒有意見就只有徵詢他們的意見 |
transcript.whisperx[225].start |
6928.326 |
transcript.whisperx[225].end |
6951.314 |
transcript.whisperx[225].text |
然後他說我對特種變更沒有意見這樣就結束了這樣就結束了然後呢我裡面寫得很清楚我的主決議就說要召開地方說明會我就說嘛你才能對於這個森巴電廠的變更才能同意沒有沒有沒有沒有 |
transcript.whisperx[226].start |
6952.394 |
transcript.whisperx[226].end |
6980.334 |
transcript.whisperx[226].text |
這個說明會我們會等天然氣管線已經做了智慧檢測天然氣管線檢測完之後會有完整的組長哈囉哈囉哈囉哈囉我裡面有說是天然氣管線嗎你要不要看我的主決議呢哈囉哈囉你要不要看我的主決議你要不要看我的主決議嗎我又沒有說天然氣管線我們真的管線我當時候所有的質詢好多樣 |
transcript.whisperx[227].start |
6981.977 |
transcript.whisperx[227].end |
6985.498 |
transcript.whisperx[227].text |
都是為了地方的安全我質詢好多樣我有寫管線嗎?我在這裡面有寫管線嗎?我講的是一體性的在你來看可是今天你要我從頭到尾從頭到尾我的質詢 |
transcript.whisperx[228].start |
7002.967 |
transcript.whisperx[228].end |
7015.172 |
transcript.whisperx[228].text |
你們怎麼能夠包庇成這個樣子你們怎麼能夠這樣子依照你們的想法請問我們地方的權益跟我們的安全在哪裡在哪裡在哪裡你們都已經同意他了特種都同意他了署長 |
transcript.whisperx[229].start |
7032.827 |
transcript.whisperx[229].end |
7043.774 |
transcript.whisperx[229].text |
我只要了解誰替我們地方的安全把關?誰?誰?誰?好!那如果發生問題你要負責嗎?如果發生問題你要負責嗎?如果發生了任何危險性的問題你都不會負責啦!當你下去都不會負責啦!誰在中央? |
transcript.whisperx[230].start |
7060.876 |
transcript.whisperx[230].end |
7061.636 |
transcript.whisperx[230].text |
請接下來鄭天才委員請做巡大 |
transcript.whisperx[231].start |
7093.314 |
transcript.whisperx[231].end |
7115.004 |
transcript.whisperx[231].text |
委員請部長請部長好部長好水利法第78條河川區域河川區域內只有沒有提到不得私有土地不得私沒有規定78條之一一樣沒有規定說不得私有 |
transcript.whisperx[232].start |
7123.073 |
transcript.whisperx[232].end |
7150.387 |
transcript.whisperx[232].text |
水利法第78條之二也沒有規定說不得私有水利法第82條對於水道治理計劃線或者是用地範圍線的土地也沒有規定不得私有水利法只有第83條有規定尋常洪水位、行水區域之土地 |
transcript.whisperx[233].start |
7153.1 |
transcript.whisperx[233].end |
7174.966 |
transcript.whisperx[233].text |
其原為公有者:不得移轉為私有:以私有者:可以徵收這個是只有水利法第83條規定循床洪水不得私有這個讓部長瞭解一下河流最靠近河流的 |
transcript.whisperx[234].start |
7175.919 |
transcript.whisperx[234].end |
7203.44 |
transcript.whisperx[234].text |
就是水利法第83 尋常洪水位行水區然後為了要蓋堤防的地方叫水利法第82條治理縣用地方為縣然後最外面的就是河川七一縣土地法第14條第三款第14條的第一項的第三款 |
transcript.whisperx[235].start |
7205.402 |
transcript.whisperx[235].end |
7234.272 |
transcript.whisperx[235].text |
過去一直到現在經濟部水利署都以這個第三款作為第78條這個看一下水利法82條跟78條之二都是用這個土地法第14條的第一項的第三款 |
transcript.whisperx[236].start |
7236.664 |
transcript.whisperx[236].end |
7260.027 |
transcript.whisperx[236].text |
好土地法第14條的第一項第三款可通用之水道戴秀雄教授認為這樣引用這個是錯誤的因為臺灣並沒有可通用之水道可通用水道要那個滑船啊輪船啊不是滑船啊要那個輪船可以的沒有臺灣沒有 |
transcript.whisperx[237].start |
7262.722 |
transcript.whisperx[237].end |
7289.987 |
transcript.whisperx[237].text |
好,原住民族基本法第20條規定政府承認原住民族土地的權利所以因為這條原基法條文內政部內政部主管機關土地法的主管機關對第14條土地法第14條第一項各款規定不得私有的話定言者他做了修正105年12月做了修正 |
transcript.whisperx[238].start |
7291.363 |
transcript.whisperx[238].end |
7316.187 |
transcript.whisperx[238].text |
土地法第14條第一項各款規定不得私有土地但原住民申請經工廠管理機關同意配合提供增化邊緣住民保留地者可以所以這個部分但是到目前為止這個水利署都不願意都不願意好 |
transcript.whisperx[239].start |
7317.95 |
transcript.whisperx[239].end |
7344.094 |
transcript.whisperx[239].text |
尤其是以奉合定增化邊沿住林堡的立者讓部長瞭解,增化邊沿住林堡的立的合定是誰合定的?是行政院合定哦行政院已經合定了水利署依然不同意依然不同意然後呢以設定耕作前、地上前或農業前之沿住林堡的立者 |
transcript.whisperx[240].start |
7346.862 |
transcript.whisperx[240].end |
7370.171 |
transcript.whisperx[240].text |
會設定耕作權、地上權也就是經過行政院核定核定之後這塊土地核定為原住民保留地然後才設定耕作權、地上權都已經設定耕作權、地上權了都水利署到現在都還是不願意所以這個部分 |
transcript.whisperx[241].start |
7372.049 |
transcript.whisperx[241].end |
7395.948 |
transcript.whisperx[241].text |
這裡面已經因排除劃入不得私有土地範圍 這不是我規定的 是內政部針對土地法14條所定的劃定原則所以部長 這個要請你 這個要做決定 因為部長是學法律的 |
transcript.whisperx[242].start |
7397.395 |
transcript.whisperx[242].end |
7423.976 |
transcript.whisperx[242].text |
水利署不是寫法律的,他們只考量到工程啊!他們考量到工程啊!想替人民省錢啊!為什麼呢?他特別,這個106年8月1號水利署的公文我們看最後下面的兩句話一、未來治理首席之範圍來認定 |
transcript.whisperx[243].start |
7427.668 |
transcript.whisperx[243].end |
7450.765 |
transcript.whisperx[243].text |
以未來治理首席之範圍來認定,依原紀律法規定辦理。這個,我們就看到這條線。現在的狀況,治理線,有的地方還沒有蓋堤防,所以這個水利署那張公文是說以未來治理的需要的範圍。 |
transcript.whisperx[244].start |
7453.137 |
transcript.whisperx[244].end |
7478.929 |
transcript.whisperx[244].text |
這個我們還可以稍微容忍一下我跟署長講過但是呢提防已經蓋好了提防已經蓋好了到河川七一線這中間的依法都應該要增加邊緣原住民保留地但是水利署我也不知道什麼原因 |
transcript.whisperx[245].start |
7481.28 |
transcript.whisperx[245].end |
7481.48 |
transcript.whisperx[245].text |
部長:部長 |
transcript.whisperx[246].start |
7503.902 |
transcript.whisperx[246].end |
7532.352 |
transcript.whisperx[246].text |
可以嗎?依法行政啊:就依內政部啊:他是主管機關啊:可以嗎?土地法是一般法那委員也知道那那個這個相關的這個水利法的部分有更細膩的像委員講的78、82、83那哪一些可以有沒有什麼例外的可行性我再跟水利署討論一下很明確的 |
transcript.whisperx[247].start |
7534.093 |
transcript.whisperx[247].end |
7560.03 |
transcript.whisperx[247].text |
只有水利法83這個我們法律明定不得私有我們絕對遵守法律78、82都沒有說不得私有啦所以戴秀雄教授或者是內政部基於土地主管機關土地法主管機關也都認為是這樣所以這個部分請部長我再跟他們詳細討論好謝謝 |
transcript.whisperx[248].start |
7564.702 |
transcript.whisperx[248].end |
7579.282 |
transcript.whisperx[248].text |
另外最後這個我就要看也讓部長瞭解看一下這個提防都已經蓋好了這個提防提防都已經蓋好了 |
transcript.whisperx[249].start |
7580.031 |
transcript.whisperx[249].end |
7580.392 |
transcript.whisperx[249].text |
事由管理法36條 |
transcript.whisperx[250].start |
7595.356 |
transcript.whisperx[250].end |
7618.704 |
transcript.whisperx[250].text |
特別規定偏遠地區、原住民族地區及離島地區的這個相關的這些統裝瓦斯的一個補貼統裝瓦斯的補貼那這個上次的統裝瓦斯補貼大概已經有三四年沒有調高所以這個部分也請這個 |
transcript.whisperx[251].start |
7621.616 |
transcript.whisperx[251].end |
7640.35 |
transcript.whisperx[251].text |
我們經濟部還有相關的能源署能夠調高,可以嗎?我們有根據整個成本的情況今年會做檢討。好好好,謝謝。我們現在請鄭正前委員質詢,謝謝。 |
transcript.whisperx[252].start |
7645.865 |
transcript.whisperx[252].end |
7646.306 |
transcript.whisperx[252].text |
主席 請部長 |
transcript.whisperx[253].start |
7664.587 |
transcript.whisperx[253].end |
7679.739 |
transcript.whisperx[253].text |
市長,去年外國人直接來台投資的部分,因為新的數字出來了,我想請教部長,你對外資來台的部分是不是很歡迎? |
transcript.whisperx[254].start |
7684.841 |
transcript.whisperx[254].end |
7698.462 |
transcript.whisperx[254].text |
當然是當然歡迎嘛那你對於那個大陸的企業陸資來台的時候是不是也歡迎他符合我們的規定我們當然也是歡迎的是所以對於港澳的投資呢 |
transcript.whisperx[255].start |
7699.946 |
transcript.whisperx[255].end |
7722.543 |
transcript.whisperx[255].text |
港澳的投資因為他會背後有的時候會涉及到有沒有入資的問題所以港澳的投資的部分有時候是比照外資但是他如果有入資超過百分比的話也會比照入資的規定來審查所以我們港澳的來台投資的統計數字是算在外資裡面還算在入資裡面 |
transcript.whisperx[256].start |
7723.834 |
transcript.whisperx[256].end |
7724.154 |
transcript.whisperx[256].text |
在外資裏面 |
transcript.whisperx[257].start |
7745.396 |
transcript.whisperx[257].end |
7763.087 |
transcript.whisperx[257].text |
我們投審司這個裡面的一些資料的時候我們對於那個裡面的資料提供的資料感覺好像不是很充分因為之前的時候呢我們可以查到一些相關的資料可是現在感覺查不到像港澳相關的資料我們在這邊是查不到的 |
transcript.whisperx[258].start |
7763.427 |
transcript.whisperx[258].end |
7765.148 |
transcript.whisperx[258].text |
我們的所有的外資投資案件我們都會對外的揭露 |
transcript.whisperx[259].start |
7785.171 |
transcript.whisperx[259].end |
7800.402 |
transcript.whisperx[259].text |
是,那介紹就很簡單,就是比方說哪個公司多少錢就這樣,那我們本來想說是不是有更友善的方式,我們要查詢的時候是查詢得到的因為目前我上網去查是沒有查詢到,如果你們有更好的一個功能的部分,有更好的功能嗎? |
transcript.whisperx[260].start |
7802.046 |
transcript.whisperx[260].end |
7825.065 |
transcript.whisperx[260].text |
應該沒有吧?因為我至少我上去他就是非常的不友善就是只能夠簡單看到就是時間序列出來然後看不到你沒有任何查詢的一個機制那之後如果要補充說明再到本辦來稍微做一下說明那我另外想要提到另外一個點就是說我想問一下部長就是說因為你覺得我看到那個我們 |
transcript.whisperx[261].start |
7826.446 |
transcript.whisperx[261].end |
7854.742 |
transcript.whisperx[261].text |
經濟部的一個新聞稿就對於整個外商來台灣投資的部分的時候我覺得感覺到經濟部是熱誠歡迎的可是對於陸資來台投資的時候我就感覺就感覺態度是不太一樣的那我這邊我想要講一個點就是說我們對於整個台灣以外的企業來台灣投資我覺得應該都站在一個歡迎的立場我這是很重要的一個點因為我看到一個數字就是說對於大陸來台投資 |
transcript.whisperx[262].start |
7856.423 |
transcript.whisperx[262].end |
7877.515 |
transcript.whisperx[262].text |
僅30件,金額2969萬美金然後聊勝於無用一個聊勝於無這樣的一個字眼的時候我覺得感覺就有一些價值判斷在那裡頭啦那我是覺得可能不是那麼適合你們回去看一下你們的新聞稿再來跟我因為我是從你們新聞稿裡面看到的字眼我就覺得感覺有一些不一樣的態度 |
transcript.whisperx[263].start |
7877.875 |
transcript.whisperx[263].end |
7880.558 |
transcript.whisperx[263].text |
本集辦公室也常常接到一個狀態就是說從港澳來台灣投資的狀態的時候感覺會碰到很多 |
transcript.whisperx[264].start |
7900.086 |
transcript.whisperx[264].end |
7900.206 |
transcript.whisperx[264].text |
應該沒有 |
transcript.whisperx[265].start |
7917.059 |
transcript.whisperx[265].end |
7917.259 |
transcript.whisperx[265].text |
目前沒有,對 |
transcript.whisperx[266].start |
7931.363 |
transcript.whisperx[266].end |
7931.683 |
transcript.whisperx[266].text |
姓寶基金 |
transcript.whisperx[267].start |
7948.395 |
transcript.whisperx[267].end |
7964.352 |
transcript.whisperx[267].text |
中央政府嚴重特殊傳染性肺炎防治及紓困振興特別決算審核報告裡面他有特別提到了一個點就說我們整個信保基金整個信保基金他 |
transcript.whisperx[268].start |
7966.855 |
transcript.whisperx[268].end |
7970.16 |
transcript.whisperx[268].text |
到去年6月底指預期還款的筆數有到11萬筆那預期保證金額超過174億元平均新發生的預期比例高達3.83%這個數字沒有錯嘛 |
transcript.whisperx[269].start |
7985.114 |
transcript.whisperx[269].end |
8008.212 |
transcript.whisperx[269].text |
是 報告委員是沒有錯那他裡面就特別提到了一個點就是說如果說我們現在整個城堡的保證金額它的平均發生的預期比率計算的時候整體可能預期的理賠金額會高達364億元那麼跟整個當時我們在這個特別預算的時候本來 |
transcript.whisperx[270].start |
8010.202 |
transcript.whisperx[270].end |
8034.802 |
transcript.whisperx[270].text |
保證那個專款預算是870億後來流用到其他的部其他的項目當中的時候導致我們保證專款可用的預算僅剩下245億元對不對那我們如果按照原本3.83的預期比率去推的時候呢我們整個的信保基金的一個預期理賠的金額可能會到達364億那跟當時的 |
transcript.whisperx[271].start |
8040.049 |
transcript.whisperx[271].end |
8046.792 |
transcript.whisperx[271].text |
245億的時候會產生119億元的缺口我想請問部長這119億你要從哪裡補回來?報告委員因為這個新發生預期率它每個月都會變動所以目前我們觀察的狀況目前245億如果這個要來賠付的話以目前的新發生預期率來看的話應該還足夠 |
transcript.whisperx[272].start |
8066.339 |
transcript.whisperx[272].end |
8081.05 |
transcript.whisperx[272].text |
還足夠?對,如果說不夠的話,當初主計總署有承諾說他們會從這個年度預算來撥補給信保基金。從年度預算來撥補?對,就是我們會再提這個預算。也要補辦預算?是是是。OK,如果說補辦預算的時候,坦白說 |
transcript.whisperx[273].start |
8083.832 |
transcript.whisperx[273].end |
8095.385 |
transcript.whisperx[273].text |
我們一定是支持中小企業的所以我們對中小企業的支持反映在性保基因當中我們特別的關注因為我們擔心如果這119億補不進去的時候會不會影響到之後中小企業他們 |
transcript.whisperx[274].start |
8101.112 |
transcript.whisperx[274].end |
8126.113 |
transcript.whisperx[274].text |
之後要得到信訪基金支持會不會更困難所以本期提這個部分的時候呢要特別提醒就是我們經濟部這邊因為我這1191是按照你們的數字算出來那審計部的報告也提到了這個部分所以我們認為這1191是很可能會發生的狀態那我們希望能夠提早把這個預算能夠儘早把它補辦起來 |
transcript.whisperx[275].start |
8128.095 |
transcript.whisperx[275].end |
8136.184 |
transcript.whisperx[275].text |
不要到時候影響到整個中小企業需要得到信保基金支持的時候而不夠我覺得這是我們針對這個問題當中我們看到一個最大的問題那至於說當時這個870億的特別預算後來有625億流用到什麼地方 |
transcript.whisperx[276].start |
8146.636 |
transcript.whisperx[276].end |
8149.498 |
transcript.whisperx[276].text |
政府一定會讓信保基金可以來擔保中小企業的部分 這個政府一定會支持 |
transcript.whisperx[277].start |
8165.169 |
transcript.whisperx[277].end |
8183.563 |
transcript.whisperx[277].text |
最後請部長把針對我們去年一些外商投資的相關的資料希望能夠分國家跟地區給我一個詳細的資料那我也想特別知道從港澳這邊過來的資金到底有多少好 謝謝謝謝鄭振淺委員接下來我們請張家駿委員發言 |
transcript.whisperx[278].start |
8199.065 |
transcript.whisperx[278].end |
8200.369 |
transcript.whisperx[278].text |
主席我想請部長來請王部長 |
transcript.whisperx[279].start |
8207.102 |
transcript.whisperx[279].end |
8234.992 |
transcript.whisperx[279].text |
部長我相信大家最近一直瘋狂的請教你關於漲電費的事情但我今天想要問您有關於這個水利的問題尤其是水利署前瞻計畫水與安全的這個前四期編列了將近500億的預算持續補助地方的政府推廣這個防洪治理成效非常好那我想要請問一下到目前為止 |
transcript.whisperx[280].start |
8237.253 |
transcript.whisperx[280].end |
8263.951 |
transcript.whisperx[280].text |
這個第4期的執行:水與安全的執行情形為何?好,謝謝委員指導。那,截至目前為止,我們已經合訂了雲林縣超過53億元。現在執行的狀況,我們也跟雲林縣政府一起來努力。那雲林縣政府現在還有19件還沒有發包。那我們希望它加速。那未來,當然雲林是一個 |
transcript.whisperx[281].start |
8265.211 |
transcript.whisperx[281].end |
8265.452 |
transcript.whisperx[281].text |
主席﹖ |
transcript.whisperx[282].start |
8284.161 |
transcript.whisperx[282].end |
8284.201 |
transcript.whisperx[282].text |
經濟部部長 |
transcript.whisperx[283].start |
8303.557 |
transcript.whisperx[283].end |
8325.75 |
transcript.whisperx[283].text |
幫我們雲林來努力因為我們雲林縣不只是一煙水地區我們還有地層下限地區所以真的農民也非常的辛苦很需要說我們水利署所有的人員包括我們在地的這些工作人員能夠在第一線能夠把這些事務做好那我想要請教就是說第5期預計什麼時候送到我們立院來審查 |
transcript.whisperx[284].start |
8331.417 |
transcript.whisperx[284].end |
8345.682 |
transcript.whisperx[284].text |
這個是要看國安會的時候啟動的時候那第5期的話原則上應該是明年需要去執行的那我相信目前國安會已經在詢問各部會第5期的計畫那國安會應該也會在今年的上半年完整以後應該會送到立法院來 |
transcript.whisperx[285].start |
8355.265 |
transcript.whisperx[285].end |
8356.106 |
transcript.whisperx[285].text |
我相信部長也認同吧 |
transcript.whisperx[286].start |
8381.963 |
transcript.whisperx[286].end |
8405.196 |
transcript.whisperx[286].text |
我認同說一定要一段接一段把它完整的做好那有很多計畫其實是需要部長包括署長繼續協助尤其我們雲林縣剛剛署長有講有19件那個19件可能是已經有列管的可是遠遠超過19件以上的需要做的那我現在手上有幾件是 |
transcript.whisperx[287].start |
8406.016 |
transcript.whisperx[287].end |
8414.906 |
transcript.whisperx[287].text |
可能是預備工程啦預備工程還沒有進入這個正式工程的包括海口大排包括舊莊大排包括這個舊頂皮頭大排還有一無中排有材料大排還有熱內排水 |
transcript.whisperx[288].start |
8425.217 |
transcript.whisperx[288].end |
8453.089 |
transcript.whisperx[288].text |
這個中西橋下游段這一些的那我舉例來說海口大排這個出口閘門非常老舊而且他的抽血量體不足所以導致於他的上游五條港地區經常淹水那他急需要改善那他現在只是預備工程所以也希望說可以儘速轉列為正式工程那包括舊莊大排他是在 |
transcript.whisperx[289].start |
8453.869 |
transcript.whisperx[289].end |
8469.601 |
transcript.whisperx[289].text |
大批的南邊的區域排水那這個區域經常有淹水的狀況那這一期工程完成之後就可以達到全段治理的目標可以說是最後一里路而且說實在他的這個 |
transcript.whisperx[290].start |
8470.842 |
transcript.whisperx[290].end |
8484.489 |
transcript.whisperx[290].text |
也沒有算很高啦所以也很希望說是不是今天既然部長署長都在這裡希望可以盡快的把它列為正式工程那另外包括這個舊頂皮大排的引川峻橋下游排水整治 |
transcript.whisperx[291].start |
8489.873 |
transcript.whisperx[291].end |
8510.571 |
transcript.whisperx[291].text |
這個部分他現有橋樑有阻礙水流的情況那這一段就是剛好位於排水的出口段那這個工程完成之後就也是整段就改善完成了所以可以解決二輪跟西螺的淹水狀況我們找的絕對不是說不用走叫你來走的都是那種重點希望說 |
transcript.whisperx[292].start |
8512.953 |
transcript.whisperx[292].end |
8535.703 |
transcript.whisperx[292].text |
真的是錯下去之後馬上是全段能夠有改善或者是整段能夠完成的而且不是說一定要求說這個金額一定要很多有一些其實是小小的沒有很多人說兩三千萬可是他實際能夠改善的所以這一點懇求這個部長跟署長一定可以趕快競速的核定 |
transcript.whisperx[293].start |
8536.403 |
transcript.whisperx[293].end |
8559.003 |
transcript.whisperx[293].text |
我們在今年年初已經啟動了所有的盤點我們未來在第5期的額度裡面往中南部若干非常多的縣市除了雲林縣之外還有很多的需求我們會統一的來做檢討那其中由於用地取得比如說已經完成用地取得的設計已經完成我們在第5期的額度裡面會優先來予以考量 |
transcript.whisperx[294].start |
8559.503 |
transcript.whisperx[294].end |
8573.637 |
transcript.whisperx[294].text |
那委員所提的這個八件的這個預備工程裡面有一些若是有符合這些的條件我們未來再評比了之後會來注意對希望可以優先進速來處理因為畢竟我聽說就是說如果沒有特別委員關切的話要排得遙遙無期那我的鄉親真的是因應其判因為淹水 |
transcript.whisperx[295].start |
8583.286 |
transcript.whisperx[295].end |
8604.416 |
transcript.whisperx[295].text |
其實我覺得說我會重振也是因為看到鄉親淹水之苦我會覺得說不應該真的不應該那淹水真的太難過了所以真的很期待說我們一起來共同做好事確實這幾年因為有前瞻預算那政府也非常重視那個易淹水地區的改善那這個對鄉下的農民居民其實是很有感的 |
transcript.whisperx[296].start |
8607.637 |
transcript.whisperx[296].end |
8630.657 |
transcript.whisperx[296].text |
⋯⋯⋯ |
transcript.whisperx[297].start |
8630.917 |
transcript.whisperx[297].end |
8633.099 |
transcript.whisperx[297].text |
三百三十度以下的民生電費動漲還有希望說農業用電跟漁業用電動漲之外 |
transcript.whisperx[298].start |
8652.637 |
transcript.whisperx[298].end |
8674.338 |
transcript.whisperx[298].text |
高跨那個節流的部分就是也希望有一個因應措施過去那個中小企業發展條例中有規定如果企業為基層員工調高薪資就能夠享有減稅的優惠這項規定是為了鼓勵企業能夠為最基層的員工加薪提高這個員工基層的待遇可是這個 |
transcript.whisperx[299].start |
8674.718 |
transcript.whisperx[299].end |
8680.702 |
transcript.whisperx[299].text |
約定今年5月19日就要到期了:那所以本席也要提出修法希望延長這樣子的措施請問部長支持嗎是是那我們目前院的版本吼草案也已經拿出來了我們草案正在這個讓大家表示意見那我們會用盡快的速度也會大家的意見完了以後送到院裡面趕快送到立法院來審查我們也是贊成要延長這一點要拜託部長對阿盡快的 |
transcript.whisperx[300].start |
8703.618 |
transcript.whisperx[300].end |
8705.099 |
transcript.whisperx[300].text |
謝謝張家俊委員我們現在休息5分鐘11點再回來開會 |
transcript.whisperx[301].start |
9165.898 |
transcript.whisperx[301].end |
9175.743 |
transcript.whisperx[301].text |
來請大家回座我們要開始繼續開會了謝謝好我們現在繼續開會接下來我們請邱志偉委員發言 |
transcript.whisperx[302].start |
9197.168 |
transcript.whisperx[302].end |
9197.748 |
transcript.whisperx[302].text |
王國興議員王國興議員王國興議員王國興議員王國興議員 |
transcript.whisperx[303].start |
9220.725 |
transcript.whisperx[303].end |
9231.234 |
transcript.whisperx[303].text |
謝謝委員肯定經濟部的努力謝謝對我希望你留任如果不能留任我也希望你說有更高的職位更好的發展那你個人的規劃呢 |
transcript.whisperx[304].start |
9233.688 |
transcript.whisperx[304].end |
9254.755 |
transcript.whisperx[304].text |
我沒有個人的規劃是我想在經濟部因為委員非常清楚經濟部的業務這個業務繁雜是那我覺得對國家做這些事情非常有意義而且你有做出成績來但是當然不可能說100分那我覺得你大概有80分左右所以希望你繼續努力謝謝委員先請教一下離岸風電區塊開發這兩天這個媒體有很多的報導這個台電說綠電 |
transcript.whisperx[305].start |
9263.159 |
transcript.whisperx[305].end |
9267.354 |
transcript.whisperx[305].text |
發展太慢、勾引不足那到底是什麼原因他會這樣說? |
transcript.whisperx[306].start |
9269.176 |
transcript.whisperx[306].end |
9269.596 |
transcript.whisperx[306].text |
為什麼他會這樣說? |
transcript.whisperx[307].start |
9299.836 |
transcript.whisperx[307].end |
9324.384 |
transcript.whisperx[307].text |
所以他對我們趕快來發展綠電他確實也有跟我們提醒這個速度上不要落後了是那個投報率啊這個綠電投報率過低所以你這個32企業32企的招標會不會因為這樣子延後這個這開發商聯名跟你陳情嗎是所以這個RR說這個投報率低於4 |
transcript.whisperx[308].start |
9325.495 |
transcript.whisperx[308].end |
9347.415 |
transcript.whisperx[308].text |
所以他們認為說這個是不是投標了,但是是不是不要那麼早決標,到年底再決定,你們目前的決策呢?是,我們確實收到他們的這個來文,那這個部分我們會內部討論一下,我們也會跟廠商來溝通所以加上3之1期,3之1期也有很多的問題 |
transcript.whisperx[309].start |
9349.113 |
transcript.whisperx[309].end |
9352.276 |
transcript.whisperx[309].text |
那預計到2026、2027才會併網那三四二期也是2028、2029那如果這個併網期程目前的規劃有沒有改變? |
transcript.whisperx[310].start |
9362.382 |
transcript.whisperx[310].end |
9376.965 |
transcript.whisperx[310].text |
目前確實開發商跟我們提到不是在臺灣的問題是全球的問題就是這個開發商的相關的成本國外的這個利息很高讓他的資金成本、供應鏈等等所以確實都有提到這個期程的問題那我們都跟他密切來討論你會延後多久這不可測你如果延後太久並往時間延後到延後兩三年 |
transcript.whisperx[311].start |
9390.467 |
transcript.whisperx[311].end |
9400.055 |
transcript.whisperx[311].text |
那延後影響當然是對於綠電供應會有很大的這個缺口 對不對 是 那你們預估啊 這個併網期程會延後多久 |
transcript.whisperx[312].start |
9401.253 |
transcript.whisperx[312].end |
9413.283 |
transcript.whisperx[312].text |
目前我們其實會跟他們來做仔細的討論那他們有提到一個非常不可控制就是船另外就是說排船起他們如果說國際上的沒有足夠的船來安裝的話也會是一個非常重要的因素然後國際大環境也不可能瞬間變化一定要長期慢慢的這個調整嘛 對不對 |
transcript.whisperx[313].start |
9429.415 |
transcript.whisperx[313].end |
9437.882 |
transcript.whisperx[313].text |
所以這種我覺得延後兩三年有可能嗎?我們最近會密集來跟他們討論另外國產化國產化會當然一個歷練什麼會增加嘛之前我跟妳討論過了 |
transcript.whisperx[314].start |
9442.685 |
transcript.whisperx[314].end |
9466.17 |
transcript.whisperx[314].text |
國產化跟綠電的供應量增加跟國產化這個到位到底你這個要怎麼樣去取得一個平衡點沒有錯就是這個部分我們確實都會非常細膩的然後也來看國內的這個供應量到底能夠供應的量是多少然後來做這個兩方面的一個考量這個你要去權衡是都能夠雙贏對 |
transcript.whisperx[315].start |
9468.49 |
transcript.whisperx[315].end |
9469.172 |
transcript.whisperx[315].text |
中小級創新興障事業署 |
transcript.whisperx[316].start |
9479.605 |
transcript.whisperx[316].end |
9498.511 |
transcript.whisperx[316].text |
賴副總統曾經公布在去年9月打造新創雨林的生態系這是一個國政白皮書、國政的願景然後也通過亞洲矽谷3.0當然這是國會的業務我也召開這個相關的不斷說修法或者是政策必須要做調整 |
transcript.whisperx[317].start |
9499.571 |
transcript.whisperx[317].end |
9513.028 |
transcript.whisperx[317].text |
所以這個部分啊 這個中小跟新創企業組相對在部裡面的這個聲音比較小 但新創很重要我提出的修法 我希望那個 組長、副組長 你了解我的修法內容嗎? |
transcript.whisperx[318].start |
9515.555 |
transcript.whisperx[318].end |
9518.799 |
transcript.whisperx[318].text |
我會要求你們針對這個新創創投跟新創事業每年度都要比照中小企業白皮書一樣 |
transcript.whisperx[319].start |
9535.014 |
transcript.whisperx[319].end |
9563.98 |
transcript.whisperx[319].text |
因為你現在合併成中小及輕創企業署你針對中小企業由於每年都有白皮書這是法律的規定你也按照這個中小企業白皮書的內容模式你提出創投事業及輕創事業白皮書我覺得委員這個提議是有道理的那你要做啊所以今年度你就比照中小企業白皮書今年你就把創投事業及輕創企業白皮書把它 |
transcript.whisperx[320].start |
9565.66 |
transcript.whisperx[320].end |
9566.283 |
transcript.whisperx[320].text |
把他弄一本出來 |
transcript.whisperx[321].start |
9567.5 |
transcript.whisperx[321].end |
9568.04 |
transcript.whisperx[321].text |
新創事業白皮書 何書長 |
transcript.whisperx[322].start |
9596.923 |
transcript.whisperx[322].end |
9613.148 |
transcript.whisperx[322].text |
委員長,今年越快越好。另外,AI目前的這個,如果提升台灣在AI產業的這個產值跟這個國際的話語權 |
transcript.whisperx[323].start |
9618.605 |
transcript.whisperx[323].end |
9638.191 |
transcript.whisperx[323].text |
台灣深層式AI的興起如果沒有趕上時代這個可能會造成重大的國安危機所以我們的AI的經濟產值跟AI的國際話語權必須要提高產值要提高話語權也要增加這牽涉到什麼AI模型的建立有幾個階段 |
transcript.whisperx[324].start |
9639.98 |
transcript.whisperx[324].end |
9664.805 |
transcript.whisperx[324].text |
包括預先訓練、落地的微調、推論的應用這部分我想這個邏輯很清楚這部分你必須要經濟部、書發部跟其他的跨部會你要把這個數位轉型這個三階段AI模型建立三階段把它迅速到位 |
transcript.whisperx[325].start |
9666.403 |
transcript.whisperx[325].end |
9687.364 |
transcript.whisperx[325].text |
這部分這個經濟部有沒有什麼想法?有,其實跨部會都有在討論這個部分那目前大家覺得就左邊第一個那個Pretraining的部分大家認為這個部分因為他投入資源非常大那台灣應該不要先就講這一個部分但是對第二個跟第三個部分 |
transcript.whisperx[326].start |
9688.285 |
transcript.whisperx[326].end |
9688.865 |
transcript.whisperx[326].text |
是現在臺灣確實也有在發展的部分 |
transcript.whisperx[327].start |
9705.731 |
transcript.whisperx[327].end |
9715.798 |
transcript.whisperx[327].text |
需要有這個應用領域的專業的技能這部分經濟部有沒有什麼想法?對,我們經濟部來講我們其實每個禮拜的業務會報都有一個專門的時間討論這個議題但是Fight tuning的這個訓練成本很高啊Fight tuning的部分市長有沒有什麼怎麼樣把這個成本過高的問題來降低? |
transcript.whisperx[328].start |
9732.754 |
transcript.whisperx[328].end |
9758.264 |
transcript.whisperx[328].text |
目前國科會這邊是有國際的這個比較開放是Lama2的這樣的一個軟體來做相關的training然後另外有一個中文的資料庫的系統在做如何全方位的把AI這個模型的AI模型的這個微調訓練成本把它降低你才能普及化是對不對才能各行各地都能運用這個如果你沒有這個 |
transcript.whisperx[329].start |
9759.304 |
transcript.whisperx[329].end |
9763.953 |
transcript.whisperx[329].text |
各行各地普及應用的話會變成國安危機跟其他國家我們就趕不上 |
transcript.whisperx[330].start |
9765.225 |
transcript.whisperx[330].end |
9793.119 |
transcript.whisperx[330].text |
所以這部分我覺得這個AI未來這個怎麼樣的產值能夠提高怎麼樣影響用我們的現在優勢能不能增加國際化學權這個經濟部要很重視是有有我們覺得這是臺灣已經有很好的AI晶片了然後再往前推AI的設計然後另外怎麼樣到各行各業AI的應用這個部分那確實臺灣也很有機會把它做好因為本行已經算是資深了 |
transcript.whisperx[331].start |
9794.119 |
transcript.whisperx[331].end |
9795.099 |
transcript.whisperx[331].text |
接下來我們請陳超明委員發言 |
transcript.whisperx[332].start |
9827.812 |
transcript.whisperx[332].end |
9854.002 |
transcript.whisperx[332].text |
主席好首先有請王部長來請部長王部長好常常下鄉常常碰到一些困擾的問題就是無自來水地區自來水源管的工程這裡面就牽涉到水利跟自來水公司 |
transcript.whisperx[333].start |
9855.131 |
transcript.whisperx[333].end |
9877.461 |
transcript.whisperx[333].text |
但是現在全國自來水的普及率達到95%但是你們要求的一個標準就是每一戶的要有60萬的施工成本審查的標準是以60萬以下才可以,以上不可以我認為台灣我們每個高水都很寬 |
transcript.whisperx[334].start |
9878.641 |
transcript.whisperx[334].end |
9893.219 |
transcript.whisperx[334].text |
尤其現在普及到95%沒有裝自來水的地區﹐我們就叫偏遠的地區﹐也比較落後的地區﹐即使這個是水資源含有最重要的地區﹐他們要裝自來水都這樣補了這60萬、50萬人 |
transcript.whisperx[335].start |
9898.005 |
transcript.whisperx[335].end |
9923.707 |
transcript.whisperx[335].text |
我覺得這個要照顧民生都要一樣那是給你提供水源的地方竟然裝不到自來水讓你這裡多錢人都在用所以我好幾年我一直在拜託要求那大概再開8個月台灣的自來水大概普及率就會很高我覺得這個非常重要所以我今天來這邊特別拜託多一點經費 |
transcript.whisperx[336].start |
9925.589 |
transcript.whisperx[336].end |
9942.122 |
transcript.whisperx[336].text |
支援給我們的水利使、給我們的自來水公司讓這個無自來水地區能馬上把它慢慢的一直把自來水的普及率普及出來你好好拜託,你關係很好到行政院會拿到很多的獎勵,這樣有困難嗎? |
transcript.whisperx[337].start |
9944.103 |
transcript.whisperx[337].end |
9952.473 |
transcript.whisperx[337].text |
跟委員報告因為我個人也覺得這個事情要用更好的想像所以兩個方向一個就是水利署這邊也去把這個60萬的部分拉高來提高這個門檻 |
transcript.whisperx[338].start |
9958.92 |
transcript.whisperx[338].end |
9963.541 |
transcript.whisperx[338].text |
但是也跟委員講有一些地方因為他很善他要的經費真的遠遠高出60萬甚至80萬那我請署長說去想一些聰明的方法比如說有沒有一些淨水設施因為我們大旱的時候有一些廠商已經會做淨水設施那有沒有可能這些淨水設施就近那這個經費相對也比較可惜那可以讓更多的戶數來做那他們現在正在評估 |
transcript.whisperx[339].start |
9987.688 |
transcript.whisperx[339].end |
10003.283 |
transcript.whisperx[339].text |
技術的部分、可行性的部分、經費的部分我覺得這個是不是可以更加快來解決這個偏遠地區的無自來水的問題這個方式我贊成因為我以前就提出了要用科技方法來解決偏遠的地區 |
transcript.whisperx[340].start |
10004.404 |
transcript.whisperx[340].end |
10024.145 |
transcript.whisperx[340].text |
在那邊你淨水、瀝水的功能做好打地下水出來給他們但是已經講了3、4年了、4、5年了啦這個早期我某個淨水、瀝水我大概了解這些我們要怎麼來做可以省了很多的成本我會希望你趕快這樣子去做好不好 |
transcript.whisperx[341].start |
10025.572 |
transcript.whisperx[341].end |
10028.374 |
transcript.whisperx[341].text |
委員建議的那個方向今天部長在今年的1月初的時候就找我們 |
transcript.whisperx[342].start |
10047.529 |
transcript.whisperx[342].end |
10047.749 |
transcript.whisperx[342].text |
請回座 |
transcript.whisperx[343].start |
10061.352 |
transcript.whisperx[343].end |
10072.181 |
transcript.whisperx[343].text |
大家都討論電價的上漲大家也不曉得幅度有多少我查了一下我看你這個上漲電價留給國民黨來執政馬英九執政的時間一共漲了40.65%蔡英文當總統的話 |
transcript.whisperx[344].start |
10081.349 |
transcript.whisperx[344].end |
10101.557 |
transcript.whisperx[344].text |
是22.4% 啊你說你們慢慢漲叫做消波制防止我們的通貨膨脹 喔 命很高企的 實在 這樣快點炒到沒法去 休一次你大概漲現在要漲幾% 工業用電 高鐵要用電 大副用電 你告訴我我就知道了 |
transcript.whisperx[345].start |
10102.355 |
transcript.whisperx[345].end |
10118.607 |
transcript.whisperx[345].text |
目前他們工作相組其實正在就各種的方向正在討論目前還沒有定案還沒漲價疫情就把這個漲價消息放出去大家都以為漲得很高你在試水文 |
transcript.whisperx[346].start |
10119.568 |
transcript.whisperx[346].end |
10134.697 |
transcript.whisperx[346].text |
所以這個比例可以看出來不是國民黨時代長假你們以前都罵國民黨長假看等國民黨執政再來給他長繼續動長就會繼續執政你看法怎麼樣?要不要長?兩套的標準再來有一個問題可能會很嚴重未來會不會缺電? |
transcript.whisperx[347].start |
10150.011 |
transcript.whisperx[347].end |
10178.894 |
transcript.whisperx[347].text |
不會啦,我們非常努力在做這個事情很有自信現在我看了一個那個特斯拉的執行長叫做馬斯克世界最有錢的人他說現在是缺晶片未來是缺電晶片的話AAI的這些晶片是出電的怪獸你覺得不重要人家是幾十年以後不是缺晶片就是缺電啦 |
transcript.whisperx[348].start |
10179.975 |
transcript.whisperx[348].end |
10186.634 |
transcript.whisperx[348].text |
你怎麼來應付這個問題?你們有沒有去考慮?這個可能是一個消息但是也是代表著一個警訊 |
transcript.whisperx[349].start |
10192.423 |
transcript.whisperx[349].end |
10213.295 |
transcript.whisperx[349].text |
這個部份是兩個部份因為現在目前在這個AI訓練的部份確實都是美國這幾個大公司那他們這個在訓練階段真的是用非常多的電訓練的話是大概不用什麼你不要把我騙你實體因為AI你生產的電才要出的大是那個時候的用電最大 |
transcript.whisperx[350].start |
10213.835 |
transcript.whisperx[350].end |
10214.996 |
transcript.whisperx[350].text |
我看了我們幾個工業會工商總會還是工業總會提出的一個產業報告裡面 |
transcript.whisperx[351].start |
10242.266 |
transcript.whisperx[351].end |
10258.292 |
transcript.whisperx[351].text |
幾乎六大工業總會都希望核能、核能產能延運那新國會準備要解套這個問題而執政黨是把核能當作行出牌,你的看法要不要延運? |
transcript.whisperx[352].start |
10259.632 |
transcript.whisperx[352].end |
10268.805 |
transcript.whisperx[352].text |
您要告訴我一件事嗎?這個可能要不要演繹?您不是在這裡拍謝貢為了你們政策辯論現在是對著我們現實面臨的實際的問題有沒有希望、原因? |
transcript.whisperx[353].start |
10274.975 |
transcript.whisperx[353].end |
10294.759 |
transcript.whisperx[353].text |
第一個當然在這個裡面委員有一些對演繹的提案但是這個法律的提案你法律的提案什麼不是國會裡面就是說不會把男的不能生孩子這個不能改變的話其他都可以改變你們也常常在改變你要不要 |
transcript.whisperx[354].start |
10296.185 |
transcript.whisperx[354].end |
10306.074 |
transcript.whisperx[354].text |
市商核電就幾個面向所以我報告也有提到一個是法律面最重要是核能安全那要有核安會來審查還有核廢電的問題我現在只問你如果缺電的話要不要研議啦你告訴我一下才知道啦 |
transcript.whisperx[355].start |
10314.682 |
transcript.whisperx[355].end |
10320.867 |
transcript.whisperx[355].text |
我看你左右為難這個是兩兩兩件事然後我們我們問的是一件事你要熱解我們對電力的攻擊齁目前都有沒有要支持核電廠研議我只問了重心點的問題 |
transcript.whisperx[356].start |
10329.198 |
transcript.whisperx[356].end |
10347.916 |
transcript.whisperx[356].text |
核電廠研議其實第一個問題就是安全的問題第二個是大家要有共識阿大家如果有共識的你們會不會反對這些的大前提如果都能夠解決那當然是一個所以表示有共識你們不反對了那核電的繩子牌就要被打破了對不對 |
transcript.whisperx[357].start |
10349.358 |
transcript.whisperx[357].end |
10372.31 |
transcript.whisperx[357].text |
我有講喔,其實核電品要是安全的問題很難為的回答你現在兩年幾十年把國家投資的核電廠將近五千億你們也把它擺在那邊把它報廢掉好,現在原來演藝要怎麼樣總經理你要不要回答一下還是能演幾場我看到你們碰到核電廠要不會演藝都閃來閃去啊 |
transcript.whisperx[358].start |
10376.751 |
transcript.whisperx[358].end |
10397.572 |
transcript.whisperx[358].text |
總經理,那個兩個核電廠一年幫你們賺400億喔,你要怎麼去解決這個問題?核電廠原理,純如剛才部長講的,它是一個安全問題,這些都必須要先克服。難怪你會繼續當總經理,你也很優秀。我跟你講,表示態度。 |
transcript.whisperx[359].start |
10398.935 |
transcript.whisperx[359].end |
10420.834 |
transcript.whisperx[359].text |
萬一缺電萬一需要核能廠你不要說那個在野黨把這個打破以前你們從來就是反對核能發電核能發電都利冷這裡面五個工會的理事長都一直要求考慮核電廠要不要延運能把定位降低一下 |
transcript.whisperx[360].start |
10422.055 |
transcript.whisperx[360].end |
10429.379 |
transcript.whisperx[360].text |
您現在剛才這個問題都不跟我說,要國民黨往往,最大的在野黨往往,要趕你們擦屁股,要看你們態度。 |
transcript.whisperx[361].start |
10431.055 |
transcript.whisperx[361].end |
10456.438 |
transcript.whisperx[361].text |
如果你們不敢講說支持核電廠研議我相信不要給他通過最好保持著民進黨執政的獨立性不要閃來閃去因為我相信啦缺電的情形核電廠不研議缺電的情形會滿臨終的不可以邊來邊去私底下我都有去探聽過 |
transcript.whisperx[362].start |
10458.834 |
transcript.whisperx[362].end |
10479.285 |
transcript.whisperx[362].text |
台電苦不堪言而已,主席站起來我要下台了,謝謝謝謝陳昌明委員接下來我們請賴瑞隆委員發言好,謝謝召委,請王部長 |
transcript.whisperx[363].start |
10485.08 |
transcript.whisperx[363].end |
10509.937 |
transcript.whisperx[363].text |
部長辛苦了 首先還是要先謝謝院長部長其實大林埔千村這個案件的大力支持不好做的工作不過這也是對鄉親部也是對整個歷史做一個負責那我還覺得就是執政團隊願意全力來促成我還是表達就當地的這個民意代表來說表達感謝那現在開始在進行相關的程序了2月29到5月16預定要辦63場的一個議員調查 |
transcript.whisperx[364].start |
10513.639 |
transcript.whisperx[364].end |
10518.681 |
transcript.whisperx[364].text |
最高達九成六的民眾是這個在進行當中那部裡面跟市府預定什麼時候把它完成然後接下來的下一步呢 |
transcript.whisperx[365].start |
10535.813 |
transcript.whisperx[365].end |
10557.371 |
transcript.whisperx[365].text |
這個部分有關於調查的部分跟市府已經達成共識會在6月底前會辦完6月底前會完成所有的調查那如果依照這樣的比例來說的話很有可能是相當高的一個比例那這個完成之後的下一步呢因為這大概6600位是針對有房有地的有地的或有房的那接下來的部分呢 |
transcript.whisperx[366].start |
10558.132 |
transcript.whisperx[366].end |
10573.288 |
transcript.whisperx[366].text |
對,那這一部分呢,市府目前的規劃就是全部都會做醫院調查,調查完以後就有房有地或無房無地的部分通通都會做所以其他的部分也會完成,運營什麼時候來把它全部完成?就是6月底全數完成,包括無房無地也在6月底全數完成?是是是 |
transcript.whisperx[367].start |
10575.13 |
transcript.whisperx[367].end |
10576.231 |
transcript.whisperx[367].text |
接下來我想請問一下部長 |
transcript.whisperx[368].start |
10604.991 |
transcript.whisperx[368].end |
10610.848 |
transcript.whisperx[368].text |
那部長除了一些的規劃費用以外還有沒有其他的一些比較重要的費用那預定怎麼來使用這些經費 |
transcript.whisperx[369].start |
10613.497 |
transcript.whisperx[369].end |
10638.455 |
transcript.whisperx[369].text |
向委員報告,我們編列的800億的搬遷費裡面大概有700多億是在723億對,是那這一部分包括還有一些我們所謂的人員搬遷這些會在其他項裡面那剛剛委員有說明的部分700多億的部分就是在我們人員的土地的補償建物的補償等等的這一些會佔的最大宗 |
transcript.whisperx[370].start |
10638.895 |
transcript.whisperx[370].end |
10642.877 |
transcript.whisperx[370].text |
這跟部長說明一下 其實土地跟整個建物大概就佔了9393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393939393 |
transcript.whisperx[371].start |
10667.29 |
transcript.whisperx[371].end |
10685.896 |
transcript.whisperx[371].text |
我也希望部長繼續再努力啦好嗎是是那這個都有吧委員的意見反應跟高雄市政府溝通的時候都有提到好我也希望部長持續來協助啦讓整件事情很不好做的一件工作但是如果能夠順利的完成我相信對整個鄉親對國家都是一件好事情啦是 |
transcript.whisperx[372].start |
10686.496 |
transcript.whisperx[372].end |
10703.921 |
transcript.whisperx[372].text |
好那接下來剩一點時間我再問一下台堂的問題其實這件事情其實從3月8號專家會議出來之後看得出來檢驗室的部分正常大概有3個但是有4個異常了齁那整個調查結果裡面幾乎也排除掉不管是從租吃到屠宰到販售大概都排除風險那檢驗階段 |
transcript.whisperx[373].start |
10705.842 |
transcript.whisperx[373].end |
10732.751 |
transcript.whisperx[373].text |
有可能啦 有可能會有些狀況所以如果部長從這邊來看起來台堂應該相對是安全沒有問題的沒有錯 台堂是很安全的事對 那 那 那但是檢驗室那邊當然他要去做一些釐清的那我們看到這10年啦大概租資的台堂啦特別台堂是國營事業我也不認為台堂有什麼樣刻意去違法的空間牟利又不是賺錢又不是放到自己的口袋毫無可言就是說領公務員的薪水的他去做這事情是毫無效益更何況還可能 |
transcript.whisperx[374].start |
10733.471 |
transcript.whisperx[374].end |
10760.146 |
transcript.whisperx[374].text |
更貴的而且是更不可能對所以說我覺得這件事情其實很詭異就是他其實檢驗到台糖是沒有什麼動機沒有什麼東西所以但是結論上面是台糖的安心豚17年我自己也都有在買台糖的豬肉因為我信任台糖的品質上的沒錯是但是我看到這個其實損失了5128萬甚至今天昭惟也有提到還有很多名譽上的損失甚至很多人的害怕到現在可能有的信則信不信則恨不信這個部分 |
transcript.whisperx[375].start |
10763.737 |
transcript.whisperx[375].end |
10767.238 |
transcript.whisperx[375].text |
後續會有什麼樣的動作嗎?包括未來怎麼樣去確保這樣的事情再次的發生?是 那這個部分我們確實有在討論怎麼樣來跟地方來就非常異常的這種情形的通報機制要不要做一個特別的設計那這個部分會在院的階層會去討論 |
transcript.whisperx[376].start |
10783.683 |
transcript.whisperx[376].end |
10808.146 |
transcript.whisperx[376].text |
所以未來會讓這個通報更謹慎一些當然確實我們要確保國人的食安的安全但是在一旦出來任何訊息萬一有落差的時候像後來被定調成是個案的時候台糖是安全的時候但是對台糖的傷害其實就整個造成那台糖還是國營事業當然是國家人民那是有點損失但是一般的豬農可能就承受不起任何一家豬農萬一發生這樣的狀況恐怕是承受不起的 |
transcript.whisperx[377].start |
10808.546 |
transcript.whisperx[377].end |
10833.734 |
transcript.whisperx[377].text |
所以在制度上面應該去建立一套更完整的一個機制確保食安安全但是也確保大家的這個出來的東西是不會傷及到像台堂我感覺他有點冤啦過年期間所有人員加班忙碌然後退貨等等然後到現在還在受損我認為我聽起來部長跟台堂這邊好像目前並沒有打算走司法的途徑是嗎 |
transcript.whisperx[378].start |
10835.158 |
transcript.whisperx[378].end |
10858.376 |
transcript.whisperx[378].text |
台糖他們有另外請律師的顧問再評估那對台糖來講就像委員講的恢復台糖的信譽大家來多多買台糖的豬肉我想這個是目前短期大家可以信譽的恢復是一件重要的事情趕快讓消費者恢復信譽但是另外是防止未來這樣的事情再次的發生那我認為這是一件重要的事情 |
transcript.whisperx[379].start |
10861.038 |
transcript.whisperx[379].end |
10880.937 |
transcript.whisperx[379].text |
對,機制如果能夠處理起來當然是一種方法但司法也是另外一種方法但是重點是能夠預防未來這樣事情發生我認為都是好的方法那我還是要問一下因為前兩天我看到盧秀燕市長在被議會質詢的時候他認為說這個是台堂個案才有啊台堂要自己努力去找顯然他認為是台堂要自己想辦法 |
transcript.whisperx[380].start |
10881.758 |
transcript.whisperx[380].end |
10900.695 |
transcript.whisperx[380].text |
部長認同這樣的說法嗎?事實上如果委員知道那一陣子甚至過年前開始到過年的期間臺堂同仁都加班把這個市面上所有同批的都幫他找出來甚至不同批的也找出來去驗等等的那臺堂這個就是這樣的一個單一的檢驗有這樣問題臺堂其實是費了非常大的力氣來自證我臺堂是安全的 |
transcript.whisperx[381].start |
10907.381 |
transcript.whisperx[381].end |
10921.694 |
transcript.whisperx[381].text |
所以部長覺得盧市長這樣講法其實並不公允對台糖其實是還蠻傷害的還蠻傷的嘛其實這樣也不公平啦齁因為從我們專家會來看台糖的部分幾乎盡了最大努力幾乎看起來是排除掉各種風險 |
transcript.whisperx[382].start |
10924.437 |
transcript.whisperx[382].end |
10949.378 |
transcript.whisperx[382].text |
對,台湯這麼重視自己的信譽而且有辦法這樣做,不惜成本的這樣做其實是花了非常多力氣來讓大家安心所以整個調查結果其實幾乎都排除掉台湯本身的風險但是檢驗階段反倒檢驗階段有一些不確定性到底是不是檢驗出問題沒有人敢確保所以當盧市長還把這個問題丟給台湯我認為其實是不公允的啦對台湯也是不公平的 |
transcript.whisperx[383].start |
10949.938 |
transcript.whisperx[383].end |
10975.956 |
transcript.whisperx[383].text |
部長同意這樣的看法吧?是,我們希望臺堂大家現在可以很確認他是一個非常安全的生產的豬肉我認為從事政治工作應該都要公允去處理我看到今天的這個臺中市的衛生局長也被質詢問到了他認為未來他也鬆口怎麼樣減少可以精進做法包括減少食安爭議就是遇到異常跟中央通報包括去追溯 |
transcript.whisperx[384].start |
10976.476 |
transcript.whisperx[384].end |
10976.576 |
transcript.whisperx[384].text |
是的 是的 |
transcript.whisperx[385].start |
11002.676 |
transcript.whisperx[385].end |
11022.524 |
transcript.whisperx[385].text |
對,我覺得這個最近就是我們衛福部會來跟地方怎麼樣更有效率的對這種非常特別的異常狀況怎麼樣有效的來聯繫所以當台中市的衛生局長都在比較鬆口、比較軟化的時候我其實覺得盧秀燕市長其實在這件事情上可以還台堂一個公道不需要用這麼嚴厲的態度來全部丟給台堂我反而覺得 |
transcript.whisperx[386].start |
11025.425 |
transcript.whisperx[386].end |
11047.419 |
transcript.whisperx[386].text |
在這件事情上面台湯其實已經盡了最大的努力盧市長還把慈恩丟給台湯我認為其實不公允的那我們來看一下接下來衛福部也開始做一些通報程序的改變這個大概在程序上經濟部會不會請衛福部也加快來完成這樣的一個修改內部的一個法規的一個修改會會我們會預定多久可以完成這個應該很快衛福部就會很快來做我們希望部長加快跟衛福部長聯繫好不好這樣事情盡快完成的話 |
transcript.whisperx[387].start |
11054.804 |
transcript.whisperx[387].end |
11058.586 |
transcript.whisperx[387].text |
我先宣告一下我們中午就不休息一直到詢答結束為止接下來請蔡易瑜委員發言 |
transcript.whisperx[388].start |
11085.749 |
transcript.whisperx[388].end |
11087.014 |
transcript.whisperx[388].text |
謝謝主席 那我們是邀請部長來請部長 |
transcript.whisperx[389].start |
11096.27 |
transcript.whisperx[389].end |
11115.004 |
transcript.whisperx[389].text |
部長最近這幾天台灣股市上兩萬點那台積電衝到了將近800點這個我想是全民都很振奮的消息但是我們在關心這一個台積電的一個先進的製程 |
transcript.whisperx[390].start |
11115.524 |
transcript.whisperx[390].end |
11137.126 |
transcript.whisperx[390].text |
是讓我們知道整個半導體的產業還有成熟製程而且成熟製程過去也是台灣的很強項尤其在全世界在缺這個車用晶片的時候台灣是可以說是給全世界的車廠很大的幫忙當時候全世界的需要這些晶片的都來台灣這邊來洽詢這個車用晶片 |
transcript.whisperx[391].start |
11139.548 |
transcript.whisperx[391].end |
11156.064 |
transcript.whisperx[391].text |
但是我們也在於我在上一個會期事實上就有說這個成熟製程那中國的這個鴻海布局之下我們擔心的是他們未來中國積極的擴張成熟製程未來會用以 |
transcript.whisperx[392].start |
11156.724 |
transcript.whisperx[392].end |
11178.86 |
transcript.whisperx[392].text |
以量來制價的方式然後讓整個全世界的這個成熟製程的一個市場被中國又用這種銷價競爭用惡性補貼的方式來打壓我們的一個成熟製程那我想部長那這幾個月來我們部理針對這樣的一個情況我們有怎樣的一個因應措施嗎? |
transcript.whisperx[393].start |
11179.747 |
transcript.whisperx[393].end |
11179.787 |
transcript.whisperx[393].text |
市長市長 |
transcript.whisperx[394].start |
11196.208 |
transcript.whisperx[394].end |
11221.824 |
transcript.whisperx[394].text |
的設計商兩個一起來做RD的研發雖然他可能甚至是在40奈米、55奈米都有可能可是因為那個特殊的製程呢他就是很特定化那這個就不容易被取代所以我們這個部分其實我們的廠商也知道就是要盡量朝特殊的製程來做而不是那一種通用品的晶片通用品非常有可能中國大陸會用這個鴻海政策那個低價的政策來 |
transcript.whisperx[395].start |
11225.646 |
transcript.whisperx[395].end |
11225.666 |
transcript.whisperx[395].text |
.述 |
transcript.whisperx[396].start |
11242.21 |
transcript.whisperx[396].end |
11265.384 |
transcript.whisperx[396].text |
⋯⋯⋯ |
transcript.whisperx[397].start |
11265.504 |
transcript.whisperx[397].end |
11266.665 |
transcript.whisperx[397].text |
台灣金創計劃指這個晶片驅動台灣產業創新方案我們是規劃10年要用3000億的輔導跟投資我們的具體作為是怎樣? |
transcript.whisperx[398].start |
11289.143 |
transcript.whisperx[398].end |
11293.185 |
transcript.whisperx[398].text |
這個部分在經濟部因為不同部會有做法那經濟部的部分有幾個大項包括這個IC設計的部分我們怎麼樣讓國內的IC設計要嘛有的從這個比如說原來他只會做28奈米那讓他往前進的十幾奈米推進那另外一個部分就是應用面他可以多應用在 |
transcript.whisperx[399].start |
11312.253 |
transcript.whisperx[399].end |
11312.273 |
transcript.whisperx[399].text |
部長﹖ |
transcript.whisperx[400].start |
11328.706 |
transcript.whisperx[400].end |
11357.2 |
transcript.whisperx[400].text |
那美國事實上針對我們剛才講的這個總統美國最近也不斷的有新聞會出來包括美國商務部長這個雷蒙多也說針對好像電信、汽車、國防供應鏈會使用中國製的成熟製程晶片要重啟調查那美國採取這樣的一個態度那我們台灣如果現在這個成熟製程裡面會不會有 |
transcript.whisperx[401].start |
11358.42 |
transcript.whisperx[401].end |
11384.415 |
transcript.whisperx[401].text |
這是車頭製程我們進入到了中國供應鏈那未來變成在美國重啟調查的對象然後我們台灣的廠商也進入到了這個被調查對象嗎應該是不會目前的這個部分就是看得非常明顯我想我們產業很清楚也就是說你在台灣設計你在台灣製造的話你賣給美國不管是車商、通訊或軍用的話都是安全的 |
transcript.whisperx[402].start |
11385.696 |
transcript.whisperx[402].end |
11390.96 |
transcript.whisperx[402].text |
對,那這個部分對台灣就是一個非常好的長期的上進。那我會不會說我又有販賣到中國,然後又要賣到美國?那個沒有關係,那個是我們的販賣,那個沒有問題。販賣沒有問題,但是在製造的一個過程。我想要強調就是說, |
transcript.whisperx[403].start |
11405.011 |
transcript.whisperx[403].end |
11426.927 |
transcript.whisperx[403].text |
市長賴清德他在這幾個月來都說台灣必須要建立所謂信賴的產業就是我們應該要跟世界的一個民主同盟然後我們應該要針對這樣的一個產業鏈我們有一個自我保護而不會讓中國利用他們滲透的方式而且他們會用很多一些我剛剛講的就是說去惡意取得或者是用低價的銷價競爭 |
transcript.whisperx[404].start |
11428.268 |
transcript.whisperx[404].end |
11446.749 |
transcript.whisperx[404].text |
﹏﹏ |
transcript.whisperx[405].start |
11446.749 |
transcript.whisperx[405].end |
11446.929 |
transcript.whisperx[405].text |
議員:邀請經濟部部長列席 |
transcript.whisperx[406].start |
11471.766 |
transcript.whisperx[406].end |
11471.786 |
transcript.whisperx[406].text |
﹝廣告﹞ |
transcript.whisperx[407].start |
11490.044 |
transcript.whisperx[407].end |
11505.079 |
transcript.whisperx[407].text |
那他們也相信我們在這一塊我們會堅守我們的立場我想這個是不是更重要是我想這應該經濟部要去積極的有有其實我們跟廠商在溝通的時候廠商其實也很知道這樣的一個國際的趨勢好那再下一個齁 |
transcript.whisperx[408].start |
11505.78 |
transcript.whisperx[408].end |
11528.889 |
transcript.whisperx[408].text |
那下一個是要跟部長討論這個功夫法的問題那我們功夫法事實上就是要輔導這些工廠他們可以走向合法那我們已經功夫法上路也已經將近快要4年了那這4年來事實上我跟這些廠商常常都聚在一起但是他們確實在功夫法的適用上遇到很大的一個挫折 |
transcript.whisperx[409].start |
11529.349 |
transcript.whisperx[409].end |
11545.267 |
transcript.whisperx[409].text |
那現在我指的這個挫折勒,就是說你現在規定隔離綠帶要1.5公尺那但是這個隔離綠帶,我相信部長你是想下鄉會看啦他們過去是違法的工廠,啊他們就沒辦法,他們整個工廠就棄好了 |
transcript.whisperx[410].start |
11546.749 |
transcript.whisperx[410].end |
11564.343 |
transcript.whisperx[410].text |
議員: |
transcript.whisperx[411].start |
11565.155 |
transcript.whisperx[411].end |
11589.152 |
transcript.whisperx[411].text |
那對於他們來說這是一個不可能做到的事所以他們現在就只能納管之後然後就只能按兵不動然後每年是繳納管費他們也沒辦法再進一步的作為就是卡在這樣的一個隔離綠帶那部長我們對上隔離綠帶跟功夫法產生的這樣沒辦法輔導他們合法這件事情產生的漢格應該沒有辦法有一個 |
transcript.whisperx[412].start |
11590.092 |
transcript.whisperx[412].end |
11612.977 |
transcript.whisperx[412].text |
在進一步的作法嗎?其實這個部分有非常多的討論那廠商到需要留這個1.5米的時候是他要去土地合法那土地合法的時候他其實整個建築都要一起去看他這個建築有沒有符合相關的建築法規那我們隔離地帶其實在過往跟現在有很大的改變說第一個他不需要先拆 |
transcript.whisperx[413].start |
11613.897 |
transcript.whisperx[413].end |
11638.264 |
transcript.whisperx[413].text |
他是在這個建築的時候被審的時候一起來審而不是說先猜一次再猜第二次對但是部長你知道他們在審的過程他們就得要投入成本所以他們一定會預先預判到說我未來的下一步我會遇到什麼困難所以他們知道一旦我要走到合法我因為隔離綠帶我就沒辦法走到合法這一步他是不會去走的 |
transcript.whisperx[414].start |
11638.604 |
transcript.whisperx[414].end |
11643.048 |
transcript.whisperx[414].text |
但是我們這個部分我們其實非常願意用個案來告訴大家像有一些已經解決這個問題的部分的案例成功的案例讓大家知道可能有幾種模式是可以克服這個問題的那這個其實我們也非常願意到我會再開幾個協調會或是類似公聽會我們希望可以實質上讓這一些工廠他們走向合法 |
transcript.whisperx[415].start |
11666.946 |
transcript.whisperx[415].end |
11667.386 |
transcript.whisperx[415].text |
接下來我們請黃珊珊委員發言 |
transcript.whisperx[416].start |
11697.853 |
transcript.whisperx[416].end |
11698.393 |
transcript.whisperx[416].text |
市政情報部長市政部長 |
transcript.whisperx[417].start |
11715.539 |
transcript.whisperx[417].end |
11730.839 |
transcript.whisperx[417].text |
會不會缺電所以我們台電有很中長期的計畫在增加電源來供我們產業的需要是所以對於缺不缺電對產業來說對人民來說都非常的重要那但是我們也看到了接下來 |
transcript.whisperx[418].start |
11732.083 |
transcript.whisperx[418].end |
11753.037 |
transcript.whisperx[418].text |
我剛講的不管是晶圓廠或者是現在所謂工商大佬都在對於將來我看到你們的報告裡面將來的AI時代其實他會是一個吃電的怪獸而現在對於台積電接下去在台灣可能還有更多的擴廠計畫我們未來的能源配置就是我問的未來會不會缺電 |
transcript.whisperx[419].start |
11755.018 |
transcript.whisperx[419].end |
11756.319 |
transcript.whisperx[419].text |
所以我們這幾年為什麼這麼多再新增電廠其實我們都是事先跟廠商做溝通瞭解他們的用電需求來增加新的電源 |
transcript.whisperx[420].start |
11771.611 |
transcript.whisperx[420].end |
11787.746 |
transcript.whisperx[420].text |
我來自臺北市,我們當時就有發生臺北市東區門戶計畫的新建案,申請不到足夠的相關的它的容量臺電是說我有電,但我運不進來,所以要蓋變電所那現在你的電夠不夠,又不運得進來 |
transcript.whisperx[421].start |
11790.655 |
transcript.whisperx[421].end |
11810.103 |
transcript.whisperx[421].text |
內湖的這個部分委員應該很清楚 這個跟全台灣的電不一樣 這個就是缺少那個高壓變電所的部分 讓電送到這個東北內湖的部分所以除了缺不缺電 還有電能不能送到 這就是台電很重要的任務 不能拖了20年還在討論同一件事啊 |
transcript.whisperx[422].start |
11811.484 |
transcript.whisperx[422].end |
11826.141 |
transcript.whisperx[422].text |
所以現在台北市政府終於讓我們可以開始來蓋了所以現在正在蓋所以台電有兩個任務第一個要把電足額的送到相關的產業不能讓它受到影響第二個是我們現在的虧損 |
transcript.whisperx[423].start |
11827.442 |
transcript.whisperx[423].end |
11844.276 |
transcript.whisperx[423].text |
雖然是全民買單也有政策上的目標但是一樣未來的這些所謂高科技所謂的智慧AI時代將來這個吃電怪獸廠商可能也要想一想怎麼樣讓他們能夠在能源的配置上面要做出一些貢獻吧 |
transcript.whisperx[424].start |
11845.678 |
transcript.whisperx[424].end |
11859.812 |
transcript.whisperx[424].text |
不能單單靠政府或者是全民幫大家幫他們一起來處理我最近有看到一些民間的企業他們已經開始自主發展所謂的輕能發電也希望能夠得到經濟部的支持 |
transcript.whisperx[425].start |
11861.035 |
transcript.whisperx[425].end |
11881.41 |
transcript.whisperx[425].text |
院長、部長都應該好好地來想想這些廠商他們是不是在他的院區裡面、廠區裡面就可以自己有自己的發電系統?部長覺得咧?如果他們願意這樣做,我們都非常贊成。你看到的Open AI他們已經蓋晶圓廠的同時,他們也要在裡面做所謂的小型的合融合的發電。 |
transcript.whisperx[426].start |
11882.891 |
transcript.whisperx[426].end |
11910.724 |
transcript.whisperx[426].text |
我想核能在臺灣還是一個爭議的話題但是這是一個可以考慮讓民眾不用擔負這些大廠他們自己需要的用電這才是我覺得將來可以可長可久的相關的方向廠商如果會願意自備電源的話我們是都非常樂意所以部長我覺得這個是將來政策上面也要採取相關鼓勵的措施所以臺灣不能沒有台積電但是臺灣也不能只有台積電 |
transcript.whisperx[427].start |
11912.244 |
transcript.whisperx[427].end |
11938.856 |
transcript.whisperx[427].text |
臺積電是臺灣的護國神山但是同樣的相關的能源他們也應該要跟我們大家一起來承擔相關的責任所以重點是如果可能有廠商在廠區裡面做發電我覺得這是政府應該要鼓勵的第二個就是能源政策我希望部長不管怎麼樣在您看守的期間我們希望對未來剛剛講的這些配置上面的用電的規劃我覺得現在就要提出未來10年到20年的計畫 |
transcript.whisperx[428].start |
11940.478 |
transcript.whisperx[428].end |
11953.752 |
transcript.whisperx[428].text |
尤其是2025如果真的有所謂的非核家園你馬上撿的7%要從哪裡補回來這個也需要向立法院來報告我希望兩個禮拜之內給我一個完整的相關電力配置的報告 |
transcript.whisperx[429].start |
11964.396 |
transcript.whisperx[429].end |
11983.637 |
transcript.whisperx[429].text |
呃還是請一下委員齁上台下台的時候記得跟主席台鞠躬齁這是禮貌來接下來我們請洪孟楷委員發言來主席謝謝麻煩請王部長來請部長 |
transcript.whisperx[430].start |
11991.009 |
transcript.whisperx[430].end |
12014.327 |
transcript.whisperx[430].text |
部長直接請教這次蘇丹紅非法添加物的事件很多人見紙就說是這個不良廠商非法廠商他一個地址可以有10家公司一個地址可以有5家公司在那裡面做登記那資本額從20萬到50萬不一樣那但是到最後他變大家覺得說這就空頭公司嘛 |
transcript.whisperx[431].start |
12014.727 |
transcript.whisperx[431].end |
12032.909 |
transcript.whisperx[431].text |
一家進口被衛福部查到之後他馬上再換另外一家可能在此同意申請那他就拼那個抽查率啊沒被抽到也都可以讓你擺啊那源頭就在於是說這些空頭公司、空殼公司啊登記那麼多那我們經濟部商業司有沒有什麼樣的防弊機制 |
transcript.whisperx[432].start |
12034.4 |
transcript.whisperx[432].end |
12057.685 |
transcript.whisperx[432].text |
這個部分,衛福部給我們資料,我們現在都會再查只要任何一個相同,譬如說地址相同、負責人相同、公司相同只要任何一個相同,我們就可以回辦我們從過去黑心快篩,也有這樣的情況發生,它引申民宅我們看那個Google那個限地,它明明就是一個民宅,三樓半的套廳處但它裡面篩了十幾家公司 |
transcript.whisperx[433].start |
12058.385 |
transcript.whisperx[433].end |
12074.982 |
transcript.whisperx[433].text |
那登記人而且那些股東成分或是董事長相關都是親屬關係親屬關係也許比較難直接就追查出來但是同一個地址有那麼多公司又是民財的部分這應該馬上就可以調資料我們到底現在商業是還有多少這樣的公司 |
transcript.whisperx[434].start |
12078.564 |
transcript.whisperx[434].end |
12099.135 |
transcript.whisperx[434].text |
第一個公司的地址要登記在哪裡目前各國也都一樣沒有特別說在公司登記的時候說要要求只能在什麼地方才可以登記公司但我們是不是應該有示警機制或是說去了解一下這樣的一個公司還是說你商業室就只是大家來我登記登記完之後就放著 |
transcript.whisperx[435].start |
12099.835 |
transcript.whisperx[435].end |
12122.325 |
transcript.whisperx[435].text |
我沒有任何的追蹤管考機制從過去的黑心快篩到現在的這個蘇丹紅如果說能夠多一點示警的話我常常強調很多時候對我們不要以小人之心度君子之腹但有些時候必要的把關是應該的那在這件事情上面其實就很明顯大家覺得說很離譜啊 |
transcript.whisperx[436].start |
12124.458 |
transcript.whisperx[436].end |
12148.351 |
transcript.whisperx[436].text |
跟委員報告,如果假設今天這麼多的公司登記,好幾十萬家那如果沒有提到說這個可能有嫌疑的話事實上商業單位不會知道要怎麼去查這個東西那能不能,好那我先請教我們現在Data Base裡面有沒有譬如說同一個地址裡面有至少超過5家公司以上在同一個地址那這一些要不要主動先去了解一下 |
transcript.whisperx[437].start |
12150.222 |
transcript.whisperx[437].end |
12153.083 |
transcript.whisperx[437].text |
跟委員報告齁其實在公司登記階段他要登記在這個地址他就要附一些證明文件 |
transcript.whisperx[438].start |
12171.272 |
transcript.whisperx[438].end |
12199.869 |
transcript.whisperx[438].text |
那剛才委員提到說一個地址裡面有非常多的公司它的狀況非常多那我們必須去看這些哪些是合法哪些不合法比如說現在很多的這種小企業或是新創企業它其實一張桌子一個電腦對所以本席剛剛已經開宗明先強調說它不是一般的商辦大樓我當然了解有一些商辦大樓它可能一次裡面會有很多家公司它可能譬如說它新創公司他們就在同一個會議室share那個辦公空間這本席了解 |
transcript.whisperx[439].start |
12201.01 |
transcript.whisperx[439].end |
12220.892 |
transcript.whisperx[439].text |
但是那比較屬於是商辦大樓嘛那我現在講是說你們應該可以去調個資料這非常快而且這絕對不用成本我們只要去了解是說有哪些地址他有重複比如說5家以上都在同一個地址再去清查人工比對是說這些地址到底是民宅還是商辦大樓還是一般的公司 |
transcript.whisperx[440].start |
12221.873 |
transcript.whisperx[440].end |
12235.318 |
transcript.whisperx[440].text |
這做不到嗎?可以跟委員報告那什麼時候可以做?我們其實在現在衛福部給我們的名單裡面我們去比對我們這幾家有問題的我們都已經去把它抓出來那剛才也講就是說現在公司登記跟 |
transcript.whisperx[441].start |
12236.383 |
transcript.whisperx[441].end |
12263.002 |
transcript.whisperx[441].text |
公司登記跟商業登記的加速非常多所以我們一定是從有問題的公司這邊去救他的負責人甚至是說影響什麼比較廣比如說食品進口業因為現在大家看到可能食品進口業相關這個是比較影響廣大的能不能先從這一些類型先去做那個跟委員報告齁我們確實是從食品進口因為我們現在是什麼時候能夠做出來什麼時候能夠清查出來什麼時候能夠再找出不要再有下一個蘇丹紅這樣的廠商 |
transcript.whisperx[442].start |
12264.451 |
transcript.whisperx[442].end |
12288.072 |
transcript.whisperx[442].text |
我們比對的名單從衛福部那邊找到有進口這些辣椒粉的這些名單我們已經提供給衛福部了我們其實禮拜六禮拜天那天兩天都已經加班把這個名單比對出來了部長來來來部長還是要請您是部長本期間花了是4分多鐘時間就主要跟您講的是說我們其實有更多的作為可以更積極的去預防 |
transcript.whisperx[443].start |
12289.451 |
transcript.whisperx[443].end |
12314.882 |
transcript.whisperx[443].text |
部會是畫部會的合作好不好?對是沒有錯我只用一分鐘的時間我再請教因為現在可能電價的部分馬上就會漲價了看起來是漲價勢在必行但有沒有考慮過有沒有開源節流的部分本席先比對了今天的這個台電的預算書2023年到2024年用人成本人事費用增加多少?部長手邊有沒有資料?這個有點細 |
transcript.whisperx[444].start |
12317.379 |
transcript.whisperx[444].end |
12337.754 |
transcript.whisperx[444].text |
用人費用有點細這個細節可能要看那個資料才會知道旅猜費用有多少增加猜旅費用那個委員是不是我請台電會後再給您資料好不好其實這不用因為本期其實已經查完了嘛我只是想要知道是說為什麼會增加那麼多的用人費用跟猜旅費用 |
transcript.whisperx[445].start |
12338.659 |
transcript.whisperx[445].end |
12366.955 |
transcript.whisperx[445].text |
用人費用增加主要是因為最近這幾年我們的那個 增加多少錢 退休潮很高不是啊 你不是退休金沒有增加 退休金沒有增加太多啊 最主要是薪資的部分啊增加了2023年到2024年 這預算書增加了17億的用人費用是不是 退休金的那個 不止退休金啦 你不用一直扯退休金 是 它是整體的用人費用連薪資都增加了 理財費用增加了多少 |
transcript.whisperx[446].start |
12368.567 |
transcript.whisperx[446].end |
12391.505 |
transcript.whisperx[446].text |
旅運費增加了5億元旅運費可能有包括說國內國外出差但是怎麼會增加5億元本期要提出來是講是說有沒有開源跟節流就是說你現在在做電價的上漲的時候當然會直接轉嫁到民生的成本但另外一部分我們有沒有做節流 |
transcript.whisperx[447].start |
12392.366 |
transcript.whisperx[447].end |
12396.154 |
transcript.whisperx[447].text |
為什麼會我們的用人費用也大增為什麼我們的旅餐費用也大增而且這都比2023年成長了那麼多 |
transcript.whisperx[448].start |
12400.281 |
transcript.whisperx[448].end |
12426.946 |
transcript.whisperx[448].text |
這個沒有問題,這個都可以提相關新聞資料給那個財務委員、財務委員、黃委員、主席財務部長,我先要要求你先把沒有問題這句話收回並且給本席一個書面報告當然尊重主席,但是我說要求經濟部下午給本席一個書面報告好好說明為什麼會用人費用跟旅運費用增加那麼多本席會持續追這個議題,好嗎?謝謝 |
transcript.whisperx[449].start |
12430.08 |
transcript.whisperx[449].end |
12430.62 |
transcript.whisperx[449].text |
黃國昌委員發言 |
transcript.whisperx[450].start |
12465.89 |
transcript.whisperx[450].end |
12494.476 |
transcript.whisperx[450].text |
謝謝主席麻煩有請經濟部部長來請問部長部長好其實國家發展力能我們都很支持那如果說在特定的任務下面從我們經濟部有實質控制的公司去成立公司協助推動國家的政策這個方向我其實公開說過很多次我是支持的 |
transcript.whisperx[451].start |
12495.305 |
transcript.whisperx[451].end |
12524.76 |
transcript.whisperx[451].text |
但在國營事業用這些人的時候有一個重點那個重點是用人為財我們用專業的可以做事的而不是拿國營事業來進行政治酬庸這樣子的觀念部長你認同吧?我贊成是你認同嗎?是但我就看不懂台研立了這家公司成立了以後本來百分之百是台研的吧? |
transcript.whisperx[452].start |
12526.328 |
transcript.whisperx[452].end |
12543.706 |
transcript.whisperx[452].text |
接下來用人實際上面的狀況包括了第一任的董事長陳其韻那您在上一屆國會的時候相關的案件你們已經已給剪掉了是到接下來任用了吳榮輝嘉義縣的前副縣長 |
transcript.whisperx[453].start |
12545.912 |
transcript.whisperx[453].end |
12572.028 |
transcript.whisperx[453].text |
這個到底是用人為財還是在醜用我相信社會有一把尺但我現在更關心的是什麼我更關心的事情是我們為了推動公共政策為了執行國家的政策好不容易成立了一家公司有沒有被特定的派系或是權貴把持的現象我接下來秀這張圖給部長看 |
transcript.whisperx[454].start |
12574.369 |
transcript.whisperx[454].end |
12599.707 |
transcript.whisperx[454].text |
去年部長在回答臺灣民眾黨陳婉蕙委員的質詢的時候您說到您當現任臺研的總經理吳博新你幫他說我幫他澄清說他沒有在立洋下面任職過我相關的新聞跟新聞稿我全部都看過你說的沒有錯但大家在質疑的是什麼大家在質疑的是他是憑什麼憑什麼對這個業務 |
transcript.whisperx[455].start |
12603.536 |
transcript.whisperx[455].end |
12625.696 |
transcript.whisperx[455].text |
這不懂也不熟 可以做到台研綠能的總經理 大家找了半天 原來發現他是我們綠洋集團 英企的綠洋集團 包括了小谷 谷聖輝 包括了陳文宏 他們所把持集團的下包商 現在做到了台研綠能的總經理 |
transcript.whisperx[456].start |
12627.145 |
transcript.whisperx[456].end |
12644.537 |
transcript.whisperx[456].text |
結果他當總經理以後啊總經理裡面的特助任用的是誰啊任用的就是陳文宏的兄弟啊陳文榮啊他的陳家麗陽集團啊已經正式入駐了台言綠能啊這件事情部長您清楚嗎 |
transcript.whisperx[457].start |
12647.864 |
transcript.whisperx[457].end |
12672.374 |
transcript.whisperx[457].text |
過往在委員在要我們去查相關台顏綠能的名股的時候有做一些的調查這樣的狀況您了解了嗎?您覺得應該要繼續容忍下去嗎?委員這一張圖提到這個吳國欽跟可我先不講吳國欽的部分剛我還沒有提到吳國欽現在我要跟你focus |
transcript.whisperx[458].start |
12673.294 |
transcript.whisperx[458].end |
12691.266 |
transcript.whisperx[458].text |
是立洋集團的小谷跟陳文宏還有吳國欣的關係我還沒有提到吳國欣立洋集團的小谷陳文宏吳國欣結果吳國欣進去了以後總經理是帶的是誰帶的是陳文宏的兄弟我只請教你說這樣的狀況您了解不了解 |
transcript.whisperx[459].start |
12692.332 |
transcript.whisperx[459].end |
12699.196 |
transcript.whisperx[459].text |
因為我就是看到委員這個圖因為這個的可危跟那個可危不一樣委員這兩個是不同的可危我知道我現在就沒有提到吳國欽嘛我從頭到尾剛好跟你提到吳國欽三個字嘛至於委員在講之前的這個相關的這個股東的部分那委員也知道我們也送檢調來瞭解這個狀況了 |
transcript.whisperx[460].start |
12715.117 |
transcript.whisperx[460].end |
12726.045 |
transcript.whisperx[460].text |
我剛也說了嘛,你把陳秦日壽剪掉這個我都OK啦但我只希望你針對問題回答我現在做具體的一件事情你知不知道台言綠能去年虧了多少錢是有虧損你知不知道虧了多少錢因為他的虧損是因為他的工程費還沒有拿到這個我們一樣一樣來嘛你知不知道他虧了多少錢 |
transcript.whisperx[461].start |
12741.386 |
transcript.whisperx[461].end |
12770.072 |
transcript.whisperx[461].text |
因為他是下面的下面啦吼沒有關係啦我會問問題的話我資料一定都找好了到今年二月底到今年二月底他的股東權益只剩下一億六千多萬本來是三億多嘛真知道三億多嘛所以為什麼前兩天發重訊虧損已經達到實收資本額的二分之一 |
transcript.whisperx[462].start |
12771.853 |
transcript.whisperx[462].end |
12791.465 |
transcript.whisperx[462].text |
為什麼虧損會達到10週資本額的二分之一因為去年一年虧了2.7億那時候的總經理是誰就是不願用專業的人搞權貴派系酬庸搞出來立洋集團的下下包商吳柏鑫 |
transcript.whisperx[463].start |
12793.147 |
transcript.whisperx[463].end |
12814.395 |
transcript.whisperx[463].text |
虧了2.7億我再請教部長您不熟沒有關係旁邊國營事業司的司長可以代打我都OK你知不知道走了多少人去年一年走了多少人來請司長因為部長說他不熟我問部長這麼細的問題可能對部長不公平走了多少人應該是走了大概將近有60幾位 |
transcript.whisperx[464].start |
12816.224 |
transcript.whisperx[464].end |
12838.509 |
transcript.whisperx[464].text |
編制了多少人?編制大概一百多位,不過他就有些壞,因為他的工程在承包完那個台尼嘉慶的案子以後,暫時還沒有新的案子進來。台尼嘉慶的案子齁,我已經都掌握。呆帳提列多少?人家為什麼不付錢?我們下次質詢的時候,我會繼續問。因為主席站起來啊,我要尊重主席的才是。前部長。 |
transcript.whisperx[465].start |
12839.409 |
transcript.whisperx[465].end |
12862.938 |
transcript.whisperx[465].text |
拜託市長回去幫忙了解以後我們下一次在詢答的時候內容可以更實質一點這樣可以嗎?不過我真的要跟委員講吳國欽跟委員講的那個可危完全沒關是另外一個可危這個完全對他太不公平了我就跟你說我還沒有提到吳國欽這個人嘛我是要跟委員說委員你可能要先回去澄清一下沒有關係啊我們繼續講繼續針對實質的問題回答的時候再麻煩部長先回去準備好 |
transcript.whisperx[466].start |
12869.08 |
transcript.whisperx[466].end |
12893.715 |
transcript.whisperx[466].text |
這樣可以嗎?好,可以。好,謝謝黃國昌委員。好,接下來我們請吳春成委員發言。好,主席。那個我們請部長。來,請王部長。 |
transcript.whisperx[467].start |
12901.567 |
transcript.whisperx[467].end |
12917.856 |
transcript.whisperx[467].text |
部長好。我是民眾黨的幹事長吳春成。民眾黨的兩個目標就是除弊跟新利。所以剛才我們的總召黃國昌砲火門內就是要除弊。 |
transcript.whisperx[468].start |
12922.856 |
transcript.whisperx[468].end |
12945.769 |
transcript.whisperx[468].text |
但是我要跟部長提的是心力所以部長不要太緊張我們談的是一個心力的問題那我要因為我非常關注這個高齡化社會的議題那我要請部長就是來思考長壽時代來臨經濟部的角色是什麼 |
transcript.whisperx[469].start |
12947.409 |
transcript.whisperx[469].end |
12963.957 |
transcript.whisperx[469].text |
因為我發現我們各部會都沒有準備好這個迎接長壽的這個計畫所以我今天跟部長來討論的是如何讓扶養比的分子變分母我想經濟部一定很關注這個扶養比的問題 |
transcript.whisperx[470].start |
12967.434 |
transcript.whisperx[470].end |
12990.387 |
transcript.whisperx[470].text |
問部長因為分子就是被撫養的人分母就是在工作的人口因為少子化所以工作的人口越來越小分母就越來越小因為高齡化所以分子就越來越大是不是這樣子? |
transcript.whisperx[471].start |
12992.469 |
transcript.whisperx[471].end |
13018.215 |
transcript.whisperx[471].text |
是這樣子那預計我目前是4比1啦四個人撫養一個人那這個到2040年會變成2比1這個負擔非常沉重接下來會比較1比1然後一直發展分子會大於分母那個叫崩潰的時代臺灣整個要崩潰了請問部長這個有什麼解套現在有我們為了這事情在做什麼準備 |
transcript.whisperx[472].start |
13020.517 |
transcript.whisperx[472].end |
13045.433 |
transcript.whisperx[472].text |
確實這個是一個大的議題那很多的東亞國家也都面臨這樣的一個嚴重的議題那政府的這個部分確實應該很多的方面來解決這樣一個問題要從很多方面是其實對部長也同意這是一個嚴重的問題但是呢看起來我們都沒有沒辦法都沒有什麼很好的方法 |
transcript.whisperx[473].start |
13046.158 |
transcript.whisperx[473].end |
13056.512 |
transcript.whisperx[473].text |
那我要跟大家跟這個就是這次我不到立委員來提的就叫壯時代有一個方法就是讓分子壯起來把分子拉下來當分母 |
transcript.whisperx[474].start |
13059.401 |
transcript.whisperx[474].end |
13076.422 |
transcript.whisperx[474].text |
我們現在很大的問題就是未來長高壽的人會佔人口的一半但是我們現在政府都弱化他們那你沒辦法因為他會大於因為少子化所以這個分子一定會大於分母有一天那整個台灣就會崩潰 |
transcript.whisperx[475].start |
13077.919 |
transcript.whisperx[475].end |
13099.232 |
transcript.whisperx[475].text |
那我知道這個經濟部其實也有注意到這個問題了在鼓勵這個高齡就業就是有中小企業發展條例第36條要鼓勵企業來提高僱用中高齡及高齡者那這個我要問部長這個理由我覺得這個利益當然很好 |
transcript.whisperx[476].start |
13101.411 |
transcript.whisperx[476].end |
13110.274 |
transcript.whisperx[476].text |
但是我覺得沒有切中重點因為你這個辦法當中是鼓勵獎勵這個45歲以上的有這個租稅優惠1到150%但是部長看一下這個圖其實在45到19歲 |
transcript.whisperx[477].start |
13122.042 |
transcript.whisperx[477].end |
13128.607 |
transcript.whisperx[477].text |
台灣的勞參率有85,其實跟各國沒有太大差異50到55歲之間76.3也沒有太大差異我們真的開始落後這個各國的落後各國從55歲以上 |
transcript.whisperx[478].start |
13140.984 |
transcript.whisperx[478].end |
13157.141 |
transcript.whisperx[478].text |
我們只剩下59、60歲以上只剩下39、65歲以上只剩下9.6所以呢這個你如果按照你這個辦法大家都聘用企業都聘用45歲的啦沒有人要聘用55歲65歲的啦所以你根本沒有解決問題 |
transcript.whisperx[479].start |
13158.615 |
transcript.whisperx[479].end |
13181.015 |
transcript.whisperx[479].text |
你根本沒有解決問題所以我在這裡建議因為我知道經濟部有提出這個我們可不可以除了你45歲以上有租稅要有等距的優惠更加的獎勵是不是經濟部目前的版本是增加雇用45歲以上的租稅優惠150%可不可以再增加 |
transcript.whisperx[480].start |
13182.656 |
transcript.whisperx[480].end |
13203.006 |
transcript.whisperx[480].text |
65歲以上的租稅有離到250趴因為我們這個問題太嚴重了我們韓國30幾趴我們只有9點多趴這個問題如果按照你現在的辦法是無法解決的那這一點那個部長覺得可不可以接受謝謝委員那我們現在確實草案還在徵詢意見當中那委員這個意見我們會回去來檢討一下OK部長可以考慮我們可以來檢討一下好謝謝 |
transcript.whisperx[481].start |
13212.807 |
transcript.whisperx[481].end |
13213.327 |
transcript.whisperx[481].text |
麻煩部長請王部長 |
transcript.whisperx[482].start |
13246.794 |
transcript.whisperx[482].end |
13262.529 |
transcript.whisperx[482].text |
美國商務部的部長在12日表示美國企業已經意識到我們的晶片供應鏈過度集中於世界上少數幾個國家。部長您怎麼看美國?對美國商務部長的發言有什麼看法? |
transcript.whisperx[483].start |
13263.476 |
transcript.whisperx[483].end |
13267.477 |
transcript.whisperx[483].text |
那我想這個部分我們隨時都注意美方的想法看法還有他到底在關切什麼事情那這個也坦白講也是因為台灣的台積電他的客戶那美國也是他最大的客戶所以台積電有這樣的除了在台灣持續加碼投資之外也有到這個美國日本跟德國設廠的這樣的一個 |
transcript.whisperx[484].start |
13293.095 |
transcript.whisperx[484].end |
13294.356 |
transcript.whisperx[484].text |
會否影響到台灣的整體國家安全? |
transcript.whisperx[485].start |
13319.736 |
transcript.whisperx[485].end |
13346.597 |
transcript.whisperx[485].text |
對台灣來講我們台灣政府也有台灣的國家的利益所以對我們來講我們一方面在台灣加大投資那最先進的還有包括現在最先進的封裝等等我們都會讓他留在台灣但是他另外也到國際佈局所以我們的策略就是希望他在台灣的投資還是要優先然後另外再到其他的國家去投資 |
transcript.whisperx[486].start |
13347.658 |
transcript.whisperx[486].end |
13375.612 |
transcript.whisperx[486].text |
對,部長我還是一樣認同因為對我們來說把所有最重要的所有各個國家的利害關係集中在台灣的這個本島的範圍內是能夠增加台灣的這個整體的韌性畢竟從我們最新的這個營收我看起來台積電是7700多億聯電加世界先進整個加起來大概是快要到24兆新台幣所以如果有必要的話我們還是希望說能夠跟美方溝通 |
transcript.whisperx[487].start |
13376.372 |
transcript.whisperx[487].end |
13393.697 |
transcript.whisperx[487].text |
他們討論不是說減少風險然後就減少在臺灣的配置反而是因為要確保臺灣是在他們利害的利益跟危害的產業鏈的一環就是強調說如果你擔心你想要分散風險的最好方式就是鞏固臺灣 |
transcript.whisperx[488].start |
13394.737 |
transcript.whisperx[488].end |
13414.159 |
transcript.whisperx[488].text |
這是一個很重要的訊息不是分散資源到其他的分散他們的風險到其他你說日本也好或者是德國歐洲而是確保在臺灣的這一些晶圓的產業鏈能夠被鞏固鞏固跟分散風險是兩個不同的概念所以對於經濟部長我也是希望部長能夠 |
transcript.whisperx[489].start |
13415 |
transcript.whisperx[489].end |
13438.516 |
transcript.whisperx[489].text |
跟美方在接洽的時候要強調與其花費大筆的人力資源來去興建其他國家在興建新廠甚至是用更不符合成本不符合經濟成本的方式只為了要達到風尚風選鞏固台灣是最好最有效而且最符合台灣美國利益跟自由世界利益的一個方式這個方式你可不可以去跟美方來去 |
transcript.whisperx[490].start |
13438.996 |
transcript.whisperx[490].end |
13457.612 |
transcript.whisperx[490].text |
我完全贊成委員的意見那確實我們也有自己的國家安全自己國家的利益那再者就是說台灣現在半導體在台灣的生產是最有效率的那這個其實不是對台灣好而已而且是對全世界都好那也讓技術可以不斷的進步所以這一些的東西都是我們會考慮的點 |
transcript.whisperx[491].start |
13459.013 |
transcript.whisperx[491].end |
13486.196 |
transcript.whisperx[491].text |
那這個部長我還是在強調包含整體的國家利益之外還有符合我們自己由我選區嘉義縣的選區出來的利益經濟部能不能滿足台積電的水電需求比方說現在有媒體報導有一些半導體大廠可能進駐我們嘉義的科學園區我想請教部長短期的部分可能是由縣府來負責無水廠的再生水那長期的部分可能還是要仰賴經濟部該海水的淡化廠這個部分掌握狀況是怎麼樣 |
transcript.whisperx[492].start |
13487.678 |
transcript.whisperx[492].end |
13487.698 |
transcript.whisperx[492].text |
謝謝,謝謝部長。 |
transcript.whisperx[493].start |
13515.478 |
transcript.whisperx[493].end |
13533.199 |
transcript.whisperx[493].text |
謝謝陳冠廷委員接下來我們請王洪威委員發言謝謝主席我請那個王部長王美花王部長來請部長 |
transcript.whisperx[494].start |
13538.801 |
transcript.whisperx[494].end |
13539.282 |
transcript.whisperx[494].text |
您所瞭解的狀況是不是這樣? |
transcript.whisperx[495].start |
13563.743 |
transcript.whisperx[495].end |
13587.821 |
transcript.whisperx[495].text |
目前這個部分確實都是美國政府來決定的部分我個人還不清楚美國政府的補助的金額所以你目前沒有辦法確定沒有辦法確定好另外我想這陣子大家都是集中在就是有關於電價上漲那條幅是多少那現在呢之前就是一直都傳出你們希望能夠把這個條幅 |
transcript.whisperx[496].start |
13589.462 |
transcript.whisperx[496].end |
13590.062 |
transcript.whisperx[496].text |
一千億還是1500億? |
transcript.whisperx[497].start |
13606.756 |
transcript.whisperx[497].end |
13615.581 |
transcript.whisperx[497].text |
我們跟院裡面的爭取確實我們有爭取希望能夠比較多的1500億對不對因為你能補助到1500億然後你的補助額就你的這個條幅就可以降低可是部長我現在告訴你一件事情 |
transcript.whisperx[498].start |
13624.105 |
transcript.whisperx[498].end |
13643.327 |
transcript.whisperx[498].text |
我現在就告訴你,你的這個美夢可能會受到一些阻礙你知道為什麼呢?我今天早上特別問主計長我說我們稅收超成3600億他說沒有,沒有那麼多他說七折八扣因為有一些公債的發行等等之類最後剩下來只有1500億 |
transcript.whisperx[499].start |
13645.427 |
transcript.whisperx[499].end |
13668.106 |
transcript.whisperx[499].text |
所以我說只需要1500億 那麼台電也想要補助 然後我們勞保基金也快要破產 勞保基金也希望能爭取補助我說哇 大家都想著你這筆錢 那所以如果按照他的說法 其實這次稅收超出 他在扣除其他的他的必要的支出之後 只有1500億 |
transcript.whisperx[500].start |
13670.413 |
transcript.whisperx[500].end |
13688.773 |
transcript.whisperx[500].text |
所以他顯然很難完全補助給你而且他說了一句話他說如果全部都給補助給台電的話那麼明年度的預算很難編他說因為就沒有剩餘了所以部長這是不是你第一次聽到的噩耗 |
transcript.whisperx[501].start |
13690.616 |
transcript.whisperx[501].end |
13703.893 |
transcript.whisperx[501].text |
因為院裡面還在試算所以我們還沒有得到最後的答案還是你是只是跟他喊價而已沒有沒有反正是拿到最高的1500億但是事實上最後應該拿到補助金額撥補金額不會那麼高 |
transcript.whisperx[502].start |
13706.348 |
transcript.whisperx[502].end |
13722.424 |
transcript.whisperx[502].text |
因為你們確實還在試算當中所以你們要求1500億但是今天主計長講得非常清楚第二件事情沈記長也說了他說因為到目前為止稅收超徵的這部分到現在沈記部沒有審定他 |
transcript.whisperx[503].start |
13723.405 |
transcript.whisperx[503].end |
13751.001 |
transcript.whisperx[503].text |
他說如果要審定,因為你要撥補的話,你要等到他審定之後你才能夠拿到錢也就是說起碼要到七八月份之後那所以也就是說你不會立刻拿到錢,你知道這事嗎?這個都有他們的程序我大概知道那個流程部分好,所以如果請教一下如果你能拿到1500億的話,我們電價是不是可以控制預估漲到10到12%? |
transcript.whisperx[504].start |
13754.509 |
transcript.whisperx[504].end |
13766.696 |
transcript.whisperx[504].text |
確實兩邊會有互動的關係沒有錯但是具體的數字恐怕我沒有辦法跟委員做說明兩到三趴的差別對不對有可能對但是因為細節其實是小組在審議我其實細節不知道 |
transcript.whisperx[505].start |
13769.898 |
transcript.whisperx[505].end |
13782.472 |
transcript.whisperx[505].text |
我要講一下就說要台電如果要補得多的話那麼勢必會影響我們明年度這是組計長說的我是今天也是第一次聽說我一直以為是大概3600億左右但是他跟證他說沒有這麼多 |
transcript.whisperx[506].start |
13785.876 |
transcript.whisperx[506].end |
13797.02 |
transcript.whisperx[506].text |
那麼如果我們現在就跟我們的行政院全部要來補助給台電那會有一個問題那會影響未來新政府520之後賴清德上來他的預算明年就很難編了是不是有這樣的狀況因為具體的財政怎麼編是確實是主計長這邊主計處這邊我說啊他現在是巧互難為無米之炊啊 |
transcript.whisperx[507].start |
13813.993 |
transcript.whisperx[507].end |
13814.013 |
transcript.whisperx[507].text |
謝謝委員 |
transcript.whisperx[508].start |
13833.211 |
transcript.whisperx[508].end |
13844.601 |
transcript.whisperx[508].text |
好,謝謝王宏威委員接下來我們請陳俊宇委員不在嚴寬恒委員不在林楚英委員不在徐欣盈委員不在葉元芝委員不在高金素梅委員不在蘇清泉委員不在 |
transcript.whisperx[509].start |
13857.651 |
transcript.whisperx[509].end |
13862.236 |
transcript.whisperx[509].text |
王美惠委員不在羅明財委員不在鍾嘉斌委員不在劉建國委員不在 |
transcript.whisperx[510].start |
13874.107 |
transcript.whisperx[510].end |
13896.967 |
transcript.whisperx[510].text |
好,登記發言的委員除不在場者外其餘均與發言完畢,詢答結束另外有葉元之委員所提書面質詢列入記錄刊登公報書面質詢和未及答覆的部分請相關單位於一週內以書面答覆並複製本會本日議程進行到此明天星期四繼續開會現在休息謝謝 |
transcript.whisperx[511].start |
13904.411 |
transcript.whisperx[511].end |
13910.026 |
transcript.whisperx[511].text |
議員會議員會議 |
transcript.whisperx[512].start |
13932.292 |
transcript.whisperx[512].end |
13933.493 |
transcript.whisperx[512].text |
國發會三次主委要出國 |