IVOD_ID |
16663 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16663 |
日期 |
2025-05-12 |
會議資料.會議代碼 |
委員會-11-3-23-11 |
會議資料.會議代碼:str |
第11屆第3會期交通委員會第11次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
11 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
23 |
會議資料.委員會代碼:str[0] |
交通委員會 |
會議資料.標題 |
第11屆第3會期交通委員會第11次全體委員會議 |
影片種類 |
Full |
開始時間 |
2025-05-12T08:30:14+08:00 |
結束時間 |
2025-05-12T13:12:00+08:00 |
影片長度 |
04:41:46 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302dd7f5e9927fcb957778bd03a951da4504b52bdb8234cc31cac39d9383b8fa0a6975ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2025-05-12T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期交通委員會第11次全體委員會議(事由:一、審查(一)委員吳宗憲等17人、(二)委員賴士葆等28人、(三)委員楊瓊瓔等26人分別擬具「人工智慧基本法草案」及(四)台灣民眾黨黨團擬具「人工智慧發展及管理條例草案」案。
二、審查(一)委員林俊憲等23人擬具「公路法第二十七條、第二十八條及第七十五條條文修正草案」、(二)委員陳冠廷等18人、(三)委員徐富癸等17人分別擬具「公路法第三十二條條文修正草案」、(四)委員陳冠廷等16人擬具「公路法第三十三條條文修正草案」、(五)台灣民眾黨黨團、(六)委員馬文君等19人、(七)委員邱若華等17人分別擬具「公路法第三十九條之一條文修正草案」、(八)委員何欣純等18人擬具「公路法第四十六條及第六十條之一條文修正草案」、(九)委員王義川等16人擬具「公路法第六十五條條文修正草案」及(十)委員林俊憲等21人擬具「公路法第七十二條條文修正草案」案。
三、審查(一)委員林俊憲等22人擬具「停車場法第四條條文修正草案」、(二)委員廖先翔等17人擬具「停車場法第三十二條條文修正草案」及(三)台灣民眾黨黨團擬具「停車場法第三十八條條文修正草案」案。
【本日會議僅針對開會事由二及三進行合併詢答】) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:14 - 13:12:00 |
transcript.pyannote[0].speaker |
SPEAKER_06 |
transcript.pyannote[0].start |
1797.84284375 |
transcript.pyannote[0].end |
1799.37846875 |
transcript.pyannote[1].speaker |
SPEAKER_06 |
transcript.pyannote[1].start |
1805.67284375 |
transcript.pyannote[1].end |
1806.83721875 |
transcript.pyannote[2].speaker |
SPEAKER_06 |
transcript.pyannote[2].start |
1828.26846875 |
transcript.pyannote[2].end |
1832.80784375 |
transcript.pyannote[3].speaker |
SPEAKER_06 |
transcript.pyannote[3].start |
1833.22971875 |
transcript.pyannote[3].end |
1838.30909375 |
transcript.pyannote[4].speaker |
SPEAKER_00 |
transcript.pyannote[4].start |
1840.85721875 |
transcript.pyannote[4].end |
1854.93096875 |
transcript.pyannote[5].speaker |
SPEAKER_00 |
transcript.pyannote[5].start |
1855.67346875 |
transcript.pyannote[5].end |
1859.85846875 |
transcript.pyannote[6].speaker |
SPEAKER_00 |
transcript.pyannote[6].start |
1860.02721875 |
transcript.pyannote[6].end |
1865.68034375 |
transcript.pyannote[7].speaker |
SPEAKER_00 |
transcript.pyannote[7].start |
1865.89971875 |
transcript.pyannote[7].end |
1873.15596875 |
transcript.pyannote[8].speaker |
SPEAKER_00 |
transcript.pyannote[8].start |
1873.59471875 |
transcript.pyannote[8].end |
1878.50534375 |
transcript.pyannote[9].speaker |
SPEAKER_00 |
transcript.pyannote[9].start |
1878.85971875 |
transcript.pyannote[9].end |
1884.49596875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
1884.79971875 |
transcript.pyannote[10].end |
1890.11534375 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
1890.35159375 |
transcript.pyannote[11].end |
1895.24534375 |
transcript.pyannote[12].speaker |
SPEAKER_00 |
transcript.pyannote[12].start |
1895.38034375 |
transcript.pyannote[12].end |
1899.41346875 |
transcript.pyannote[13].speaker |
SPEAKER_06 |
transcript.pyannote[13].start |
1901.16846875 |
transcript.pyannote[13].end |
1903.73346875 |
transcript.pyannote[14].speaker |
SPEAKER_06 |
transcript.pyannote[14].start |
1904.05409375 |
transcript.pyannote[14].end |
1906.02846875 |
transcript.pyannote[15].speaker |
SPEAKER_06 |
transcript.pyannote[15].start |
1906.93971875 |
transcript.pyannote[15].end |
1908.66096875 |
transcript.pyannote[16].speaker |
SPEAKER_06 |
transcript.pyannote[16].start |
1908.99846875 |
transcript.pyannote[16].end |
1911.54659375 |
transcript.pyannote[17].speaker |
SPEAKER_06 |
transcript.pyannote[17].start |
1911.66471875 |
transcript.pyannote[17].end |
1913.72346875 |
transcript.pyannote[18].speaker |
SPEAKER_06 |
transcript.pyannote[18].start |
1913.97659375 |
transcript.pyannote[18].end |
1919.69721875 |
transcript.pyannote[19].speaker |
SPEAKER_06 |
transcript.pyannote[19].start |
1921.33409375 |
transcript.pyannote[19].end |
1922.58284375 |
transcript.pyannote[20].speaker |
SPEAKER_06 |
transcript.pyannote[20].start |
1923.57846875 |
transcript.pyannote[20].end |
1924.86096875 |
transcript.pyannote[21].speaker |
SPEAKER_06 |
transcript.pyannote[21].start |
1925.77221875 |
transcript.pyannote[21].end |
1927.17284375 |
transcript.pyannote[22].speaker |
SPEAKER_06 |
transcript.pyannote[22].start |
1929.23159375 |
transcript.pyannote[22].end |
1930.27784375 |
transcript.pyannote[23].speaker |
SPEAKER_06 |
transcript.pyannote[23].start |
1932.06659375 |
transcript.pyannote[23].end |
1933.48409375 |
transcript.pyannote[24].speaker |
SPEAKER_06 |
transcript.pyannote[24].start |
1934.36159375 |
transcript.pyannote[24].end |
1935.82971875 |
transcript.pyannote[25].speaker |
SPEAKER_06 |
transcript.pyannote[25].start |
1937.38221875 |
transcript.pyannote[25].end |
1938.44534375 |
transcript.pyannote[26].speaker |
SPEAKER_06 |
transcript.pyannote[26].start |
1938.79971875 |
transcript.pyannote[26].end |
1939.17096875 |
transcript.pyannote[27].speaker |
SPEAKER_06 |
transcript.pyannote[27].start |
1939.45784375 |
transcript.pyannote[27].end |
1940.79096875 |
transcript.pyannote[28].speaker |
SPEAKER_06 |
transcript.pyannote[28].start |
1942.22534375 |
transcript.pyannote[28].end |
1943.40659375 |
transcript.pyannote[29].speaker |
SPEAKER_06 |
transcript.pyannote[29].start |
1943.94659375 |
transcript.pyannote[29].end |
1944.97596875 |
transcript.pyannote[30].speaker |
SPEAKER_06 |
transcript.pyannote[30].start |
1945.85346875 |
transcript.pyannote[30].end |
1946.30909375 |
transcript.pyannote[31].speaker |
SPEAKER_06 |
transcript.pyannote[31].start |
1947.77721875 |
transcript.pyannote[31].end |
1950.67971875 |
transcript.pyannote[32].speaker |
SPEAKER_06 |
transcript.pyannote[32].start |
1952.40096875 |
transcript.pyannote[32].end |
1954.79721875 |
transcript.pyannote[33].speaker |
SPEAKER_06 |
transcript.pyannote[33].start |
1956.23159375 |
transcript.pyannote[33].end |
1959.18471875 |
transcript.pyannote[34].speaker |
SPEAKER_06 |
transcript.pyannote[34].start |
1960.66971875 |
transcript.pyannote[34].end |
1964.75346875 |
transcript.pyannote[35].speaker |
SPEAKER_06 |
transcript.pyannote[35].start |
1966.33971875 |
transcript.pyannote[35].end |
1969.39409375 |
transcript.pyannote[36].speaker |
SPEAKER_06 |
transcript.pyannote[36].start |
1970.77784375 |
transcript.pyannote[36].end |
1971.57096875 |
transcript.pyannote[37].speaker |
SPEAKER_06 |
transcript.pyannote[37].start |
1971.84096875 |
transcript.pyannote[37].end |
1974.33846875 |
transcript.pyannote[38].speaker |
SPEAKER_06 |
transcript.pyannote[38].start |
1975.51971875 |
transcript.pyannote[38].end |
1976.75159375 |
transcript.pyannote[39].speaker |
SPEAKER_06 |
transcript.pyannote[39].start |
1976.88659375 |
transcript.pyannote[39].end |
1978.57409375 |
transcript.pyannote[40].speaker |
SPEAKER_06 |
transcript.pyannote[40].start |
1979.80596875 |
transcript.pyannote[40].end |
1981.98284375 |
transcript.pyannote[41].speaker |
SPEAKER_06 |
transcript.pyannote[41].start |
1983.13034375 |
transcript.pyannote[41].end |
1984.14284375 |
transcript.pyannote[42].speaker |
SPEAKER_06 |
transcript.pyannote[42].start |
1984.83471875 |
transcript.pyannote[42].end |
1986.31971875 |
transcript.pyannote[43].speaker |
SPEAKER_06 |
transcript.pyannote[43].start |
1987.34909375 |
transcript.pyannote[43].end |
1988.32784375 |
transcript.pyannote[44].speaker |
SPEAKER_06 |
transcript.pyannote[44].start |
1988.42909375 |
transcript.pyannote[44].end |
1990.06596875 |
transcript.pyannote[45].speaker |
SPEAKER_06 |
transcript.pyannote[45].start |
1992.04034375 |
transcript.pyannote[45].end |
1996.51221875 |
transcript.pyannote[46].speaker |
SPEAKER_06 |
transcript.pyannote[46].start |
1997.54159375 |
transcript.pyannote[46].end |
2000.03909375 |
transcript.pyannote[47].speaker |
SPEAKER_06 |
transcript.pyannote[47].start |
2001.20346875 |
transcript.pyannote[47].end |
2002.43534375 |
transcript.pyannote[48].speaker |
SPEAKER_06 |
transcript.pyannote[48].start |
2002.90784375 |
transcript.pyannote[48].end |
2004.22409375 |
transcript.pyannote[49].speaker |
SPEAKER_06 |
transcript.pyannote[49].start |
2005.59096875 |
transcript.pyannote[49].end |
2008.30784375 |
transcript.pyannote[50].speaker |
SPEAKER_06 |
transcript.pyannote[50].start |
2008.59471875 |
transcript.pyannote[50].end |
2009.77596875 |
transcript.pyannote[51].speaker |
SPEAKER_06 |
transcript.pyannote[51].start |
2011.29471875 |
transcript.pyannote[51].end |
2015.81721875 |
transcript.pyannote[52].speaker |
SPEAKER_06 |
transcript.pyannote[52].start |
2017.15034375 |
transcript.pyannote[52].end |
2021.20034375 |
transcript.pyannote[53].speaker |
SPEAKER_06 |
transcript.pyannote[53].start |
2022.33096875 |
transcript.pyannote[53].end |
2026.51596875 |
transcript.pyannote[54].speaker |
SPEAKER_06 |
transcript.pyannote[54].start |
2027.81534375 |
transcript.pyannote[54].end |
2030.86971875 |
transcript.pyannote[55].speaker |
SPEAKER_06 |
transcript.pyannote[55].start |
2032.06784375 |
transcript.pyannote[55].end |
2036.55659375 |
transcript.pyannote[56].speaker |
SPEAKER_06 |
transcript.pyannote[56].start |
2038.34534375 |
transcript.pyannote[56].end |
2039.62784375 |
transcript.pyannote[57].speaker |
SPEAKER_06 |
transcript.pyannote[57].start |
2040.20159375 |
transcript.pyannote[57].end |
2043.45846875 |
transcript.pyannote[58].speaker |
SPEAKER_06 |
transcript.pyannote[58].start |
2045.46659375 |
transcript.pyannote[58].end |
2047.08659375 |
transcript.pyannote[59].speaker |
SPEAKER_06 |
transcript.pyannote[59].start |
2047.57596875 |
transcript.pyannote[59].end |
2052.09846875 |
transcript.pyannote[60].speaker |
SPEAKER_06 |
transcript.pyannote[60].start |
2053.11096875 |
transcript.pyannote[60].end |
2056.23284375 |
transcript.pyannote[61].speaker |
SPEAKER_06 |
transcript.pyannote[61].start |
2057.71784375 |
transcript.pyannote[61].end |
2058.89909375 |
transcript.pyannote[62].speaker |
SPEAKER_06 |
transcript.pyannote[62].start |
2059.10159375 |
transcript.pyannote[62].end |
2063.11784375 |
transcript.pyannote[63].speaker |
SPEAKER_06 |
transcript.pyannote[63].start |
2064.48471875 |
transcript.pyannote[63].end |
2065.66596875 |
transcript.pyannote[64].speaker |
SPEAKER_06 |
transcript.pyannote[64].start |
2066.27346875 |
transcript.pyannote[64].end |
2070.66096875 |
transcript.pyannote[65].speaker |
SPEAKER_06 |
transcript.pyannote[65].start |
2071.18409375 |
transcript.pyannote[65].end |
2071.57221875 |
transcript.pyannote[66].speaker |
SPEAKER_06 |
transcript.pyannote[66].start |
2073.12471875 |
transcript.pyannote[66].end |
2075.92596875 |
transcript.pyannote[67].speaker |
SPEAKER_06 |
transcript.pyannote[67].start |
2077.41096875 |
transcript.pyannote[67].end |
2081.39346875 |
transcript.pyannote[68].speaker |
SPEAKER_06 |
transcript.pyannote[68].start |
2082.79409375 |
transcript.pyannote[68].end |
2085.69659375 |
transcript.pyannote[69].speaker |
SPEAKER_06 |
transcript.pyannote[69].start |
2086.13534375 |
transcript.pyannote[69].end |
2088.68346875 |
transcript.pyannote[70].speaker |
SPEAKER_06 |
transcript.pyannote[70].start |
2089.29096875 |
transcript.pyannote[70].end |
2089.62846875 |
transcript.pyannote[71].speaker |
SPEAKER_06 |
transcript.pyannote[71].start |
2092.10909375 |
transcript.pyannote[71].end |
2095.95659375 |
transcript.pyannote[72].speaker |
SPEAKER_06 |
transcript.pyannote[72].start |
2098.01534375 |
transcript.pyannote[72].end |
2099.41596875 |
transcript.pyannote[73].speaker |
SPEAKER_06 |
transcript.pyannote[73].start |
2100.78284375 |
transcript.pyannote[73].end |
2102.35221875 |
transcript.pyannote[74].speaker |
SPEAKER_06 |
transcript.pyannote[74].start |
2103.78659375 |
transcript.pyannote[74].end |
2105.03534375 |
transcript.pyannote[75].speaker |
SPEAKER_06 |
transcript.pyannote[75].start |
2106.58784375 |
transcript.pyannote[75].end |
2106.89159375 |
transcript.pyannote[76].speaker |
SPEAKER_06 |
transcript.pyannote[76].start |
2107.17846875 |
transcript.pyannote[76].end |
2109.20346875 |
transcript.pyannote[77].speaker |
SPEAKER_06 |
transcript.pyannote[77].start |
2134.44846875 |
transcript.pyannote[77].end |
2153.39909375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
2157.53346875 |
transcript.pyannote[78].end |
2158.71471875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
2160.16596875 |
transcript.pyannote[79].end |
2172.06284375 |
transcript.pyannote[80].speaker |
SPEAKER_00 |
transcript.pyannote[80].start |
2172.40034375 |
transcript.pyannote[80].end |
2175.67409375 |
transcript.pyannote[81].speaker |
SPEAKER_00 |
transcript.pyannote[81].start |
2175.85971875 |
transcript.pyannote[81].end |
2187.14909375 |
transcript.pyannote[82].speaker |
SPEAKER_00 |
transcript.pyannote[82].start |
2187.57096875 |
transcript.pyannote[82].end |
2188.41471875 |
transcript.pyannote[83].speaker |
SPEAKER_00 |
transcript.pyannote[83].start |
2189.00534375 |
transcript.pyannote[83].end |
2203.06221875 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
2203.18034375 |
transcript.pyannote[84].end |
2220.25784375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
2220.39284375 |
transcript.pyannote[85].end |
2234.65221875 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
2235.39471875 |
transcript.pyannote[86].end |
2242.92096875 |
transcript.pyannote[87].speaker |
SPEAKER_00 |
transcript.pyannote[87].start |
2243.25846875 |
transcript.pyannote[87].end |
2251.27409375 |
transcript.pyannote[88].speaker |
SPEAKER_06 |
transcript.pyannote[88].start |
2252.74221875 |
transcript.pyannote[88].end |
2255.69534375 |
transcript.pyannote[89].speaker |
SPEAKER_06 |
transcript.pyannote[89].start |
2256.84284375 |
transcript.pyannote[89].end |
2263.18784375 |
transcript.pyannote[90].speaker |
SPEAKER_06 |
transcript.pyannote[90].start |
2266.09034375 |
transcript.pyannote[90].end |
2266.37721875 |
transcript.pyannote[91].speaker |
SPEAKER_06 |
transcript.pyannote[91].start |
2267.72721875 |
transcript.pyannote[91].end |
2268.41909375 |
transcript.pyannote[92].speaker |
SPEAKER_06 |
transcript.pyannote[92].start |
2269.49909375 |
transcript.pyannote[92].end |
2271.97971875 |
transcript.pyannote[93].speaker |
SPEAKER_06 |
transcript.pyannote[93].start |
2272.72221875 |
transcript.pyannote[93].end |
2274.40971875 |
transcript.pyannote[94].speaker |
SPEAKER_06 |
transcript.pyannote[94].start |
2274.88221875 |
transcript.pyannote[94].end |
2276.46846875 |
transcript.pyannote[95].speaker |
SPEAKER_26 |
transcript.pyannote[95].start |
2286.49221875 |
transcript.pyannote[95].end |
2291.72346875 |
transcript.pyannote[96].speaker |
SPEAKER_26 |
transcript.pyannote[96].start |
2292.12846875 |
transcript.pyannote[96].end |
2365.72034375 |
transcript.pyannote[97].speaker |
SPEAKER_26 |
transcript.pyannote[97].start |
2365.78784375 |
transcript.pyannote[97].end |
2513.03909375 |
transcript.pyannote[98].speaker |
SPEAKER_06 |
transcript.pyannote[98].start |
2514.84471875 |
transcript.pyannote[98].end |
2520.66659375 |
transcript.pyannote[99].speaker |
SPEAKER_16 |
transcript.pyannote[99].start |
2529.40784375 |
transcript.pyannote[99].end |
2565.70596875 |
transcript.pyannote[100].speaker |
SPEAKER_16 |
transcript.pyannote[100].start |
2566.12784375 |
transcript.pyannote[100].end |
2567.76471875 |
transcript.pyannote[101].speaker |
SPEAKER_16 |
transcript.pyannote[101].start |
2567.95034375 |
transcript.pyannote[101].end |
2571.10596875 |
transcript.pyannote[102].speaker |
SPEAKER_16 |
transcript.pyannote[102].start |
2571.39284375 |
transcript.pyannote[102].end |
2574.56534375 |
transcript.pyannote[103].speaker |
SPEAKER_16 |
transcript.pyannote[103].start |
2574.85221875 |
transcript.pyannote[103].end |
2580.79221875 |
transcript.pyannote[104].speaker |
SPEAKER_16 |
transcript.pyannote[104].start |
2580.91034375 |
transcript.pyannote[104].end |
2608.45034375 |
transcript.pyannote[105].speaker |
SPEAKER_16 |
transcript.pyannote[105].start |
2609.15909375 |
transcript.pyannote[105].end |
2615.40284375 |
transcript.pyannote[106].speaker |
SPEAKER_16 |
transcript.pyannote[106].start |
2616.43221875 |
transcript.pyannote[106].end |
2646.06471875 |
transcript.pyannote[107].speaker |
SPEAKER_16 |
transcript.pyannote[107].start |
2646.87471875 |
transcript.pyannote[107].end |
2647.21221875 |
transcript.pyannote[108].speaker |
SPEAKER_16 |
transcript.pyannote[108].start |
2647.54971875 |
transcript.pyannote[108].end |
2691.84659375 |
transcript.pyannote[109].speaker |
SPEAKER_06 |
transcript.pyannote[109].start |
2692.52159375 |
transcript.pyannote[109].end |
2695.44096875 |
transcript.pyannote[110].speaker |
SPEAKER_06 |
transcript.pyannote[110].start |
2696.23409375 |
transcript.pyannote[110].end |
2697.14534375 |
transcript.pyannote[111].speaker |
SPEAKER_06 |
transcript.pyannote[111].start |
2698.29284375 |
transcript.pyannote[111].end |
2698.88346875 |
transcript.pyannote[112].speaker |
SPEAKER_06 |
transcript.pyannote[112].start |
2702.84909375 |
transcript.pyannote[112].end |
2708.19846875 |
transcript.pyannote[113].speaker |
SPEAKER_06 |
transcript.pyannote[113].start |
2708.83971875 |
transcript.pyannote[113].end |
2709.02534375 |
transcript.pyannote[114].speaker |
SPEAKER_08 |
transcript.pyannote[114].start |
2711.69159375 |
transcript.pyannote[114].end |
2714.00346875 |
transcript.pyannote[115].speaker |
SPEAKER_08 |
transcript.pyannote[115].start |
2715.13409375 |
transcript.pyannote[115].end |
2718.03659375 |
transcript.pyannote[116].speaker |
SPEAKER_08 |
transcript.pyannote[116].start |
2718.22221875 |
transcript.pyannote[116].end |
2720.06159375 |
transcript.pyannote[117].speaker |
SPEAKER_08 |
transcript.pyannote[117].start |
2720.38221875 |
transcript.pyannote[117].end |
2726.62596875 |
transcript.pyannote[118].speaker |
SPEAKER_08 |
transcript.pyannote[118].start |
2727.25034375 |
transcript.pyannote[118].end |
2730.59159375 |
transcript.pyannote[119].speaker |
SPEAKER_08 |
transcript.pyannote[119].start |
2730.89534375 |
transcript.pyannote[119].end |
2745.07034375 |
transcript.pyannote[120].speaker |
SPEAKER_08 |
transcript.pyannote[120].start |
2745.47534375 |
transcript.pyannote[120].end |
2746.36971875 |
transcript.pyannote[121].speaker |
SPEAKER_08 |
transcript.pyannote[121].start |
2746.90971875 |
transcript.pyannote[121].end |
2749.23846875 |
transcript.pyannote[122].speaker |
SPEAKER_08 |
transcript.pyannote[122].start |
2749.67721875 |
transcript.pyannote[122].end |
2750.33534375 |
transcript.pyannote[123].speaker |
SPEAKER_08 |
transcript.pyannote[123].start |
2750.70659375 |
transcript.pyannote[123].end |
2752.63034375 |
transcript.pyannote[124].speaker |
SPEAKER_08 |
transcript.pyannote[124].start |
2753.22096875 |
transcript.pyannote[124].end |
2764.57784375 |
transcript.pyannote[125].speaker |
SPEAKER_08 |
transcript.pyannote[125].start |
2764.91534375 |
transcript.pyannote[125].end |
2767.14284375 |
transcript.pyannote[126].speaker |
SPEAKER_08 |
transcript.pyannote[126].start |
2767.34534375 |
transcript.pyannote[126].end |
2771.41221875 |
transcript.pyannote[127].speaker |
SPEAKER_08 |
transcript.pyannote[127].start |
2771.83409375 |
transcript.pyannote[127].end |
2777.50409375 |
transcript.pyannote[128].speaker |
SPEAKER_08 |
transcript.pyannote[128].start |
2778.53346875 |
transcript.pyannote[128].end |
2805.34784375 |
transcript.pyannote[129].speaker |
SPEAKER_08 |
transcript.pyannote[129].start |
2805.83721875 |
transcript.pyannote[129].end |
2814.22409375 |
transcript.pyannote[130].speaker |
SPEAKER_08 |
transcript.pyannote[130].start |
2814.51096875 |
transcript.pyannote[130].end |
2847.85596875 |
transcript.pyannote[131].speaker |
SPEAKER_06 |
transcript.pyannote[131].start |
2849.94846875 |
transcript.pyannote[131].end |
2855.23034375 |
transcript.pyannote[132].speaker |
SPEAKER_20 |
transcript.pyannote[132].start |
2865.06846875 |
transcript.pyannote[132].end |
2870.62034375 |
transcript.pyannote[133].speaker |
SPEAKER_20 |
transcript.pyannote[133].start |
2870.68784375 |
transcript.pyannote[133].end |
2876.03721875 |
transcript.pyannote[134].speaker |
SPEAKER_20 |
transcript.pyannote[134].start |
2876.13846875 |
transcript.pyannote[134].end |
2878.90596875 |
transcript.pyannote[135].speaker |
SPEAKER_20 |
transcript.pyannote[135].start |
2879.17596875 |
transcript.pyannote[135].end |
2924.24909375 |
transcript.pyannote[136].speaker |
SPEAKER_20 |
transcript.pyannote[136].start |
2924.41784375 |
transcript.pyannote[136].end |
2993.65596875 |
transcript.pyannote[137].speaker |
SPEAKER_06 |
transcript.pyannote[137].start |
2995.41096875 |
transcript.pyannote[137].end |
3005.67096875 |
transcript.pyannote[138].speaker |
SPEAKER_00 |
transcript.pyannote[138].start |
3011.86409375 |
transcript.pyannote[138].end |
3031.48971875 |
transcript.pyannote[139].speaker |
SPEAKER_06 |
transcript.pyannote[139].start |
3032.13096875 |
transcript.pyannote[139].end |
3035.74221875 |
transcript.pyannote[140].speaker |
SPEAKER_06 |
transcript.pyannote[140].start |
3036.48471875 |
transcript.pyannote[140].end |
3062.86034375 |
transcript.pyannote[141].speaker |
SPEAKER_06 |
transcript.pyannote[141].start |
3063.02909375 |
transcript.pyannote[141].end |
3079.97159375 |
transcript.pyannote[142].speaker |
SPEAKER_06 |
transcript.pyannote[142].start |
3080.20784375 |
transcript.pyannote[142].end |
3154.49159375 |
transcript.pyannote[143].speaker |
SPEAKER_06 |
transcript.pyannote[143].start |
3155.50409375 |
transcript.pyannote[143].end |
3156.31409375 |
transcript.pyannote[144].speaker |
SPEAKER_06 |
transcript.pyannote[144].start |
3156.70221875 |
transcript.pyannote[144].end |
3157.29284375 |
transcript.pyannote[145].speaker |
SPEAKER_06 |
transcript.pyannote[145].start |
3161.07284375 |
transcript.pyannote[145].end |
3167.77221875 |
transcript.pyannote[146].speaker |
SPEAKER_02 |
transcript.pyannote[146].start |
3168.51471875 |
transcript.pyannote[146].end |
3170.43846875 |
transcript.pyannote[147].speaker |
SPEAKER_02 |
transcript.pyannote[147].start |
3171.23159375 |
transcript.pyannote[147].end |
3173.07096875 |
transcript.pyannote[148].speaker |
SPEAKER_02 |
transcript.pyannote[148].start |
3173.52659375 |
transcript.pyannote[148].end |
3180.05721875 |
transcript.pyannote[149].speaker |
SPEAKER_02 |
transcript.pyannote[149].start |
3180.95159375 |
transcript.pyannote[149].end |
3185.17034375 |
transcript.pyannote[150].speaker |
SPEAKER_02 |
transcript.pyannote[150].start |
3185.62596875 |
transcript.pyannote[150].end |
3187.78596875 |
transcript.pyannote[151].speaker |
SPEAKER_02 |
transcript.pyannote[151].start |
3188.10659375 |
transcript.pyannote[151].end |
3194.31659375 |
transcript.pyannote[152].speaker |
SPEAKER_02 |
transcript.pyannote[152].start |
3195.27846875 |
transcript.pyannote[152].end |
3201.91034375 |
transcript.pyannote[153].speaker |
SPEAKER_02 |
transcript.pyannote[153].start |
3202.11284375 |
transcript.pyannote[153].end |
3206.26409375 |
transcript.pyannote[154].speaker |
SPEAKER_02 |
transcript.pyannote[154].start |
3207.10784375 |
transcript.pyannote[154].end |
3213.65534375 |
transcript.pyannote[155].speaker |
SPEAKER_02 |
transcript.pyannote[155].start |
3214.29659375 |
transcript.pyannote[155].end |
3219.62909375 |
transcript.pyannote[156].speaker |
SPEAKER_02 |
transcript.pyannote[156].start |
3220.18596875 |
transcript.pyannote[156].end |
3222.37971875 |
transcript.pyannote[157].speaker |
SPEAKER_02 |
transcript.pyannote[157].start |
3222.70034375 |
transcript.pyannote[157].end |
3232.72409375 |
transcript.pyannote[158].speaker |
SPEAKER_02 |
transcript.pyannote[158].start |
3233.60159375 |
transcript.pyannote[158].end |
3237.43221875 |
transcript.pyannote[159].speaker |
SPEAKER_02 |
transcript.pyannote[159].start |
3238.07346875 |
transcript.pyannote[159].end |
3246.76409375 |
transcript.pyannote[160].speaker |
SPEAKER_02 |
transcript.pyannote[160].start |
3247.06784375 |
transcript.pyannote[160].end |
3248.67096875 |
transcript.pyannote[161].speaker |
SPEAKER_02 |
transcript.pyannote[161].start |
3249.27846875 |
transcript.pyannote[161].end |
3249.97034375 |
transcript.pyannote[162].speaker |
SPEAKER_02 |
transcript.pyannote[162].start |
3250.88159375 |
transcript.pyannote[162].end |
3255.77534375 |
transcript.pyannote[163].speaker |
SPEAKER_02 |
transcript.pyannote[163].start |
3255.97784375 |
transcript.pyannote[163].end |
3264.92159375 |
transcript.pyannote[164].speaker |
SPEAKER_02 |
transcript.pyannote[164].start |
3265.25909375 |
transcript.pyannote[164].end |
3268.07721875 |
transcript.pyannote[165].speaker |
SPEAKER_02 |
transcript.pyannote[165].start |
3268.49909375 |
transcript.pyannote[165].end |
3269.73096875 |
transcript.pyannote[166].speaker |
SPEAKER_02 |
transcript.pyannote[166].start |
3270.50721875 |
transcript.pyannote[166].end |
3272.41409375 |
transcript.pyannote[167].speaker |
SPEAKER_02 |
transcript.pyannote[167].start |
3272.63346875 |
transcript.pyannote[167].end |
3275.94096875 |
transcript.pyannote[168].speaker |
SPEAKER_02 |
transcript.pyannote[168].start |
3276.46409375 |
transcript.pyannote[168].end |
3279.75471875 |
transcript.pyannote[169].speaker |
SPEAKER_02 |
transcript.pyannote[169].start |
3280.48034375 |
transcript.pyannote[169].end |
3283.09596875 |
transcript.pyannote[170].speaker |
SPEAKER_02 |
transcript.pyannote[170].start |
3283.66971875 |
transcript.pyannote[170].end |
3285.86346875 |
transcript.pyannote[171].speaker |
SPEAKER_02 |
transcript.pyannote[171].start |
3286.52159375 |
transcript.pyannote[171].end |
3287.98971875 |
transcript.pyannote[172].speaker |
SPEAKER_02 |
transcript.pyannote[172].start |
3288.39471875 |
transcript.pyannote[172].end |
3289.54221875 |
transcript.pyannote[173].speaker |
SPEAKER_02 |
transcript.pyannote[173].start |
3290.08221875 |
transcript.pyannote[173].end |
3293.60909375 |
transcript.pyannote[174].speaker |
SPEAKER_02 |
transcript.pyannote[174].start |
3294.25034375 |
transcript.pyannote[174].end |
3294.50346875 |
transcript.pyannote[175].speaker |
SPEAKER_02 |
transcript.pyannote[175].start |
3295.12784375 |
transcript.pyannote[175].end |
3297.20346875 |
transcript.pyannote[176].speaker |
SPEAKER_02 |
transcript.pyannote[176].start |
3297.82784375 |
transcript.pyannote[176].end |
3299.54909375 |
transcript.pyannote[177].speaker |
SPEAKER_02 |
transcript.pyannote[177].start |
3300.03846875 |
transcript.pyannote[177].end |
3302.89034375 |
transcript.pyannote[178].speaker |
SPEAKER_02 |
transcript.pyannote[178].start |
3303.12659375 |
transcript.pyannote[178].end |
3304.25721875 |
transcript.pyannote[179].speaker |
SPEAKER_02 |
transcript.pyannote[179].start |
3305.08409375 |
transcript.pyannote[179].end |
3313.63971875 |
transcript.pyannote[180].speaker |
SPEAKER_02 |
transcript.pyannote[180].start |
3314.09534375 |
transcript.pyannote[180].end |
3316.59284375 |
transcript.pyannote[181].speaker |
SPEAKER_02 |
transcript.pyannote[181].start |
3316.96409375 |
transcript.pyannote[181].end |
3318.71909375 |
transcript.pyannote[182].speaker |
SPEAKER_02 |
transcript.pyannote[182].start |
3319.49534375 |
transcript.pyannote[182].end |
3322.09409375 |
transcript.pyannote[183].speaker |
SPEAKER_02 |
transcript.pyannote[183].start |
3322.49909375 |
transcript.pyannote[183].end |
3327.39284375 |
transcript.pyannote[184].speaker |
SPEAKER_02 |
transcript.pyannote[184].start |
3327.81471875 |
transcript.pyannote[184].end |
3331.32471875 |
transcript.pyannote[185].speaker |
SPEAKER_02 |
transcript.pyannote[185].start |
3331.61159375 |
transcript.pyannote[185].end |
3335.39159375 |
transcript.pyannote[186].speaker |
SPEAKER_02 |
transcript.pyannote[186].start |
3335.64471875 |
transcript.pyannote[186].end |
3340.20096875 |
transcript.pyannote[187].speaker |
SPEAKER_02 |
transcript.pyannote[187].start |
3340.67346875 |
transcript.pyannote[187].end |
3344.67284375 |
transcript.pyannote[188].speaker |
SPEAKER_02 |
transcript.pyannote[188].start |
3344.95971875 |
transcript.pyannote[188].end |
3348.45284375 |
transcript.pyannote[189].speaker |
SPEAKER_02 |
transcript.pyannote[189].start |
3349.71846875 |
transcript.pyannote[189].end |
3357.05909375 |
transcript.pyannote[190].speaker |
SPEAKER_02 |
transcript.pyannote[190].start |
3357.32909375 |
transcript.pyannote[190].end |
3362.76284375 |
transcript.pyannote[191].speaker |
SPEAKER_02 |
transcript.pyannote[191].start |
3362.96534375 |
transcript.pyannote[191].end |
3365.02409375 |
transcript.pyannote[192].speaker |
SPEAKER_02 |
transcript.pyannote[192].start |
3365.14221875 |
transcript.pyannote[192].end |
3368.21346875 |
transcript.pyannote[193].speaker |
SPEAKER_02 |
transcript.pyannote[193].start |
3368.63534375 |
transcript.pyannote[193].end |
3377.96721875 |
transcript.pyannote[194].speaker |
SPEAKER_02 |
transcript.pyannote[194].start |
3378.22034375 |
transcript.pyannote[194].end |
3389.49284375 |
transcript.pyannote[195].speaker |
SPEAKER_06 |
transcript.pyannote[195].start |
3389.49284375 |
transcript.pyannote[195].end |
3389.54346875 |
transcript.pyannote[196].speaker |
SPEAKER_06 |
transcript.pyannote[196].start |
3389.67846875 |
transcript.pyannote[196].end |
3436.92846875 |
transcript.pyannote[197].speaker |
SPEAKER_06 |
transcript.pyannote[197].start |
3438.04221875 |
transcript.pyannote[197].end |
3438.32909375 |
transcript.pyannote[198].speaker |
SPEAKER_08 |
transcript.pyannote[198].start |
3442.48034375 |
transcript.pyannote[198].end |
3443.07096875 |
transcript.pyannote[199].speaker |
SPEAKER_06 |
transcript.pyannote[199].start |
3442.53096875 |
transcript.pyannote[199].end |
3444.28596875 |
transcript.pyannote[200].speaker |
SPEAKER_08 |
transcript.pyannote[200].start |
3443.77971875 |
transcript.pyannote[200].end |
3449.07846875 |
transcript.pyannote[201].speaker |
SPEAKER_08 |
transcript.pyannote[201].start |
3449.75346875 |
transcript.pyannote[201].end |
3452.06534375 |
transcript.pyannote[202].speaker |
SPEAKER_08 |
transcript.pyannote[202].start |
3453.07784375 |
transcript.pyannote[202].end |
3455.17034375 |
transcript.pyannote[203].speaker |
SPEAKER_08 |
transcript.pyannote[203].start |
3455.40659375 |
transcript.pyannote[203].end |
3457.16159375 |
transcript.pyannote[204].speaker |
SPEAKER_08 |
transcript.pyannote[204].start |
3457.83659375 |
transcript.pyannote[204].end |
3458.88284375 |
transcript.pyannote[205].speaker |
SPEAKER_08 |
transcript.pyannote[205].start |
3459.20346875 |
transcript.pyannote[205].end |
3461.11034375 |
transcript.pyannote[206].speaker |
SPEAKER_08 |
transcript.pyannote[206].start |
3461.65034375 |
transcript.pyannote[206].end |
3463.77659375 |
transcript.pyannote[207].speaker |
SPEAKER_08 |
transcript.pyannote[207].start |
3464.50221875 |
transcript.pyannote[207].end |
3465.59909375 |
transcript.pyannote[208].speaker |
SPEAKER_08 |
transcript.pyannote[208].start |
3465.88596875 |
transcript.pyannote[208].end |
3470.52659375 |
transcript.pyannote[209].speaker |
SPEAKER_08 |
transcript.pyannote[209].start |
3472.14659375 |
transcript.pyannote[209].end |
3474.25596875 |
transcript.pyannote[210].speaker |
SPEAKER_08 |
transcript.pyannote[210].start |
3474.30659375 |
transcript.pyannote[210].end |
3477.66471875 |
transcript.pyannote[211].speaker |
SPEAKER_08 |
transcript.pyannote[211].start |
3478.15409375 |
transcript.pyannote[211].end |
3484.19534375 |
transcript.pyannote[212].speaker |
SPEAKER_08 |
transcript.pyannote[212].start |
3484.56659375 |
transcript.pyannote[212].end |
3485.30909375 |
transcript.pyannote[213].speaker |
SPEAKER_08 |
transcript.pyannote[213].start |
3485.71409375 |
transcript.pyannote[213].end |
3487.19909375 |
transcript.pyannote[214].speaker |
SPEAKER_08 |
transcript.pyannote[214].start |
3487.77284375 |
transcript.pyannote[214].end |
3489.30846875 |
transcript.pyannote[215].speaker |
SPEAKER_08 |
transcript.pyannote[215].start |
3490.70909375 |
transcript.pyannote[215].end |
3500.64846875 |
transcript.pyannote[216].speaker |
SPEAKER_08 |
transcript.pyannote[216].start |
3501.07034375 |
transcript.pyannote[216].end |
3506.97659375 |
transcript.pyannote[217].speaker |
SPEAKER_08 |
transcript.pyannote[217].start |
3508.00596875 |
transcript.pyannote[217].end |
3520.86471875 |
transcript.pyannote[218].speaker |
SPEAKER_08 |
transcript.pyannote[218].start |
3521.47221875 |
transcript.pyannote[218].end |
3521.75909375 |
transcript.pyannote[219].speaker |
SPEAKER_06 |
transcript.pyannote[219].start |
3522.88971875 |
transcript.pyannote[219].end |
3525.08346875 |
transcript.pyannote[220].speaker |
SPEAKER_06 |
transcript.pyannote[220].start |
3525.37034375 |
transcript.pyannote[220].end |
3527.41221875 |
transcript.pyannote[221].speaker |
SPEAKER_06 |
transcript.pyannote[221].start |
3529.23471875 |
transcript.pyannote[221].end |
3530.12909375 |
transcript.pyannote[222].speaker |
SPEAKER_06 |
transcript.pyannote[222].start |
3530.63534375 |
transcript.pyannote[222].end |
3537.63846875 |
transcript.pyannote[223].speaker |
SPEAKER_06 |
transcript.pyannote[223].start |
3538.60034375 |
transcript.pyannote[223].end |
3540.59159375 |
transcript.pyannote[224].speaker |
SPEAKER_06 |
transcript.pyannote[224].start |
3541.09784375 |
transcript.pyannote[224].end |
3543.19034375 |
transcript.pyannote[225].speaker |
SPEAKER_06 |
transcript.pyannote[225].start |
3543.52784375 |
transcript.pyannote[225].end |
3548.03346875 |
transcript.pyannote[226].speaker |
SPEAKER_06 |
transcript.pyannote[226].start |
3548.37096875 |
transcript.pyannote[226].end |
3548.80971875 |
transcript.pyannote[227].speaker |
SPEAKER_06 |
transcript.pyannote[227].start |
3549.09659375 |
transcript.pyannote[227].end |
3549.56909375 |
transcript.pyannote[228].speaker |
SPEAKER_06 |
transcript.pyannote[228].start |
3551.34096875 |
transcript.pyannote[228].end |
3551.83034375 |
transcript.pyannote[229].speaker |
SPEAKER_06 |
transcript.pyannote[229].start |
3553.21409375 |
transcript.pyannote[229].end |
3554.71596875 |
transcript.pyannote[230].speaker |
SPEAKER_06 |
transcript.pyannote[230].start |
3555.03659375 |
transcript.pyannote[230].end |
3555.66096875 |
transcript.pyannote[231].speaker |
SPEAKER_06 |
transcript.pyannote[231].start |
3557.44971875 |
transcript.pyannote[231].end |
3557.73659375 |
transcript.pyannote[232].speaker |
SPEAKER_06 |
transcript.pyannote[232].start |
3559.30596875 |
transcript.pyannote[232].end |
3559.84596875 |
transcript.pyannote[233].speaker |
SPEAKER_06 |
transcript.pyannote[233].start |
3559.99784375 |
transcript.pyannote[233].end |
3561.46596875 |
transcript.pyannote[234].speaker |
SPEAKER_06 |
transcript.pyannote[234].start |
3561.82034375 |
transcript.pyannote[234].end |
3563.81159375 |
transcript.pyannote[235].speaker |
SPEAKER_06 |
transcript.pyannote[235].start |
3568.35096875 |
transcript.pyannote[235].end |
3569.02596875 |
transcript.pyannote[236].speaker |
SPEAKER_06 |
transcript.pyannote[236].start |
3569.59971875 |
transcript.pyannote[236].end |
3570.13971875 |
transcript.pyannote[237].speaker |
SPEAKER_06 |
transcript.pyannote[237].start |
3571.45596875 |
transcript.pyannote[237].end |
3582.47534375 |
transcript.pyannote[238].speaker |
SPEAKER_06 |
transcript.pyannote[238].start |
3582.52596875 |
transcript.pyannote[238].end |
3584.65221875 |
transcript.pyannote[239].speaker |
SPEAKER_06 |
transcript.pyannote[239].start |
3589.15784375 |
transcript.pyannote[239].end |
3589.63034375 |
transcript.pyannote[240].speaker |
SPEAKER_06 |
transcript.pyannote[240].start |
3590.28846875 |
transcript.pyannote[240].end |
3592.02659375 |
transcript.pyannote[241].speaker |
SPEAKER_06 |
transcript.pyannote[241].start |
3593.14034375 |
transcript.pyannote[241].end |
3595.90784375 |
transcript.pyannote[242].speaker |
SPEAKER_06 |
transcript.pyannote[242].start |
3596.29596875 |
transcript.pyannote[242].end |
3597.40971875 |
transcript.pyannote[243].speaker |
SPEAKER_06 |
transcript.pyannote[243].start |
3597.83159375 |
transcript.pyannote[243].end |
3598.11846875 |
transcript.pyannote[244].speaker |
SPEAKER_06 |
transcript.pyannote[244].start |
3598.42221875 |
transcript.pyannote[244].end |
3598.89471875 |
transcript.pyannote[245].speaker |
SPEAKER_06 |
transcript.pyannote[245].start |
3599.31659375 |
transcript.pyannote[245].end |
3599.82284375 |
transcript.pyannote[246].speaker |
SPEAKER_06 |
transcript.pyannote[246].start |
3600.43034375 |
transcript.pyannote[246].end |
3601.76346875 |
transcript.pyannote[247].speaker |
SPEAKER_09 |
transcript.pyannote[247].start |
3602.26971875 |
transcript.pyannote[247].end |
3603.16409375 |
transcript.pyannote[248].speaker |
SPEAKER_06 |
transcript.pyannote[248].start |
3602.43846875 |
transcript.pyannote[248].end |
3602.97846875 |
transcript.pyannote[249].speaker |
SPEAKER_09 |
transcript.pyannote[249].start |
3603.51846875 |
transcript.pyannote[249].end |
3605.37471875 |
transcript.pyannote[250].speaker |
SPEAKER_09 |
transcript.pyannote[250].start |
3606.10034375 |
transcript.pyannote[250].end |
3608.71596875 |
transcript.pyannote[251].speaker |
SPEAKER_06 |
transcript.pyannote[251].start |
3609.44159375 |
transcript.pyannote[251].end |
3620.62971875 |
transcript.pyannote[252].speaker |
SPEAKER_19 |
transcript.pyannote[252].start |
3617.23784375 |
transcript.pyannote[252].end |
3628.20659375 |
transcript.pyannote[253].speaker |
SPEAKER_19 |
transcript.pyannote[253].start |
3628.22346875 |
transcript.pyannote[253].end |
3638.73659375 |
transcript.pyannote[254].speaker |
SPEAKER_06 |
transcript.pyannote[254].start |
3633.96096875 |
transcript.pyannote[254].end |
3634.14659375 |
transcript.pyannote[255].speaker |
SPEAKER_06 |
transcript.pyannote[255].start |
3638.11221875 |
transcript.pyannote[255].end |
3645.30096875 |
transcript.pyannote[256].speaker |
SPEAKER_09 |
transcript.pyannote[256].start |
3644.52471875 |
transcript.pyannote[256].end |
3647.34284375 |
transcript.pyannote[257].speaker |
SPEAKER_06 |
transcript.pyannote[257].start |
3646.68471875 |
transcript.pyannote[257].end |
3647.32596875 |
transcript.pyannote[258].speaker |
SPEAKER_06 |
transcript.pyannote[258].start |
3647.34284375 |
transcript.pyannote[258].end |
3674.79846875 |
transcript.pyannote[259].speaker |
SPEAKER_09 |
transcript.pyannote[259].start |
3647.93346875 |
transcript.pyannote[259].end |
3650.14409375 |
transcript.pyannote[260].speaker |
SPEAKER_06 |
transcript.pyannote[260].start |
3676.33409375 |
transcript.pyannote[260].end |
3678.08909375 |
transcript.pyannote[261].speaker |
SPEAKER_09 |
transcript.pyannote[261].start |
3678.08909375 |
transcript.pyannote[261].end |
3679.03409375 |
transcript.pyannote[262].speaker |
SPEAKER_06 |
transcript.pyannote[262].start |
3679.03409375 |
transcript.pyannote[262].end |
3697.15784375 |
transcript.pyannote[263].speaker |
SPEAKER_09 |
transcript.pyannote[263].start |
3679.32096875 |
transcript.pyannote[263].end |
3680.92409375 |
transcript.pyannote[264].speaker |
SPEAKER_06 |
transcript.pyannote[264].start |
3697.83284375 |
transcript.pyannote[264].end |
3699.82409375 |
transcript.pyannote[265].speaker |
SPEAKER_06 |
transcript.pyannote[265].start |
3700.58346875 |
transcript.pyannote[265].end |
3713.52659375 |
transcript.pyannote[266].speaker |
SPEAKER_06 |
transcript.pyannote[266].start |
3714.26909375 |
transcript.pyannote[266].end |
3714.64034375 |
transcript.pyannote[267].speaker |
SPEAKER_06 |
transcript.pyannote[267].start |
3717.50909375 |
transcript.pyannote[267].end |
3743.15909375 |
transcript.pyannote[268].speaker |
SPEAKER_06 |
transcript.pyannote[268].start |
4349.47784375 |
transcript.pyannote[268].end |
4350.60846875 |
transcript.pyannote[269].speaker |
SPEAKER_06 |
transcript.pyannote[269].start |
4351.70534375 |
transcript.pyannote[269].end |
4362.82596875 |
transcript.pyannote[270].speaker |
SPEAKER_06 |
transcript.pyannote[270].start |
4363.07909375 |
transcript.pyannote[270].end |
4366.79159375 |
transcript.pyannote[271].speaker |
SPEAKER_19 |
transcript.pyannote[271].start |
4374.45284375 |
transcript.pyannote[271].end |
4432.43534375 |
transcript.pyannote[272].speaker |
SPEAKER_19 |
transcript.pyannote[272].start |
4433.07659375 |
transcript.pyannote[272].end |
4606.58534375 |
transcript.pyannote[273].speaker |
SPEAKER_06 |
transcript.pyannote[273].start |
4607.32784375 |
transcript.pyannote[273].end |
4609.69034375 |
transcript.pyannote[274].speaker |
SPEAKER_06 |
transcript.pyannote[274].start |
4609.99409375 |
transcript.pyannote[274].end |
4616.64284375 |
transcript.pyannote[275].speaker |
SPEAKER_25 |
transcript.pyannote[275].start |
4628.13471875 |
transcript.pyannote[275].end |
4637.92221875 |
transcript.pyannote[276].speaker |
SPEAKER_25 |
transcript.pyannote[276].start |
4638.02346875 |
transcript.pyannote[276].end |
4642.74846875 |
transcript.pyannote[277].speaker |
SPEAKER_25 |
transcript.pyannote[277].start |
4642.95096875 |
transcript.pyannote[277].end |
4644.63846875 |
transcript.pyannote[278].speaker |
SPEAKER_25 |
transcript.pyannote[278].start |
4645.19534375 |
transcript.pyannote[278].end |
4648.85721875 |
transcript.pyannote[279].speaker |
SPEAKER_25 |
transcript.pyannote[279].start |
4650.07221875 |
transcript.pyannote[279].end |
4654.86471875 |
transcript.pyannote[280].speaker |
SPEAKER_25 |
transcript.pyannote[280].start |
4655.37096875 |
transcript.pyannote[280].end |
4660.04534375 |
transcript.pyannote[281].speaker |
SPEAKER_25 |
transcript.pyannote[281].start |
4660.24784375 |
transcript.pyannote[281].end |
4666.82909375 |
transcript.pyannote[282].speaker |
SPEAKER_25 |
transcript.pyannote[282].start |
4667.20034375 |
transcript.pyannote[282].end |
4674.43971875 |
transcript.pyannote[283].speaker |
SPEAKER_25 |
transcript.pyannote[283].start |
4675.40159375 |
transcript.pyannote[283].end |
4685.20596875 |
transcript.pyannote[284].speaker |
SPEAKER_25 |
transcript.pyannote[284].start |
4685.86409375 |
transcript.pyannote[284].end |
4705.30409375 |
transcript.pyannote[285].speaker |
SPEAKER_25 |
transcript.pyannote[285].start |
4705.64159375 |
transcript.pyannote[285].end |
4710.90659375 |
transcript.pyannote[286].speaker |
SPEAKER_25 |
transcript.pyannote[286].start |
4711.07534375 |
transcript.pyannote[286].end |
4732.33784375 |
transcript.pyannote[287].speaker |
SPEAKER_25 |
transcript.pyannote[287].start |
4732.65846875 |
transcript.pyannote[287].end |
4740.42096875 |
transcript.pyannote[288].speaker |
SPEAKER_25 |
transcript.pyannote[288].start |
4740.84284375 |
transcript.pyannote[288].end |
4761.49784375 |
transcript.pyannote[289].speaker |
SPEAKER_25 |
transcript.pyannote[289].start |
4762.13909375 |
transcript.pyannote[289].end |
4809.23721875 |
transcript.pyannote[290].speaker |
SPEAKER_06 |
transcript.pyannote[290].start |
4811.65034375 |
transcript.pyannote[290].end |
4814.72159375 |
transcript.pyannote[291].speaker |
SPEAKER_06 |
transcript.pyannote[291].start |
4814.89034375 |
transcript.pyannote[291].end |
4819.12596875 |
transcript.pyannote[292].speaker |
SPEAKER_06 |
transcript.pyannote[292].start |
4819.63221875 |
transcript.pyannote[292].end |
4826.02784375 |
transcript.pyannote[293].speaker |
SPEAKER_13 |
transcript.pyannote[293].start |
4835.32596875 |
transcript.pyannote[293].end |
4900.10909375 |
transcript.pyannote[294].speaker |
SPEAKER_13 |
transcript.pyannote[294].start |
4900.36221875 |
transcript.pyannote[294].end |
4937.31846875 |
transcript.pyannote[295].speaker |
SPEAKER_13 |
transcript.pyannote[295].start |
4937.67284375 |
transcript.pyannote[295].end |
4939.02284375 |
transcript.pyannote[296].speaker |
SPEAKER_13 |
transcript.pyannote[296].start |
4939.66409375 |
transcript.pyannote[296].end |
4956.15096875 |
transcript.pyannote[297].speaker |
SPEAKER_13 |
transcript.pyannote[297].start |
4956.85971875 |
transcript.pyannote[297].end |
4974.91596875 |
transcript.pyannote[298].speaker |
SPEAKER_13 |
transcript.pyannote[298].start |
4975.45596875 |
transcript.pyannote[298].end |
4976.26596875 |
transcript.pyannote[299].speaker |
SPEAKER_13 |
transcript.pyannote[299].start |
4976.41784375 |
transcript.pyannote[299].end |
5000.65034375 |
transcript.pyannote[300].speaker |
SPEAKER_13 |
transcript.pyannote[300].start |
5001.91596875 |
transcript.pyannote[300].end |
5046.98909375 |
transcript.pyannote[301].speaker |
SPEAKER_13 |
transcript.pyannote[301].start |
5048.72721875 |
transcript.pyannote[301].end |
5072.79096875 |
transcript.pyannote[302].speaker |
SPEAKER_13 |
transcript.pyannote[302].start |
5072.94284375 |
transcript.pyannote[302].end |
5117.03721875 |
transcript.pyannote[303].speaker |
SPEAKER_06 |
transcript.pyannote[303].start |
5117.03721875 |
transcript.pyannote[303].end |
5131.88721875 |
transcript.pyannote[304].speaker |
SPEAKER_06 |
transcript.pyannote[304].start |
5131.97159375 |
transcript.pyannote[304].end |
5137.35471875 |
transcript.pyannote[305].speaker |
SPEAKER_11 |
transcript.pyannote[305].start |
5144.62784375 |
transcript.pyannote[305].end |
5145.33659375 |
transcript.pyannote[306].speaker |
SPEAKER_11 |
transcript.pyannote[306].start |
5145.60659375 |
transcript.pyannote[306].end |
5148.42471875 |
transcript.pyannote[307].speaker |
SPEAKER_11 |
transcript.pyannote[307].start |
5148.57659375 |
transcript.pyannote[307].end |
5221.57784375 |
transcript.pyannote[308].speaker |
SPEAKER_11 |
transcript.pyannote[308].start |
5221.61159375 |
transcript.pyannote[308].end |
5227.50096875 |
transcript.pyannote[309].speaker |
SPEAKER_11 |
transcript.pyannote[309].start |
5227.83846875 |
transcript.pyannote[309].end |
5326.94534375 |
transcript.pyannote[310].speaker |
SPEAKER_06 |
transcript.pyannote[310].start |
5327.58659375 |
transcript.pyannote[310].end |
5335.95659375 |
transcript.pyannote[311].speaker |
SPEAKER_04 |
transcript.pyannote[311].start |
5343.82034375 |
transcript.pyannote[311].end |
5403.62534375 |
transcript.pyannote[312].speaker |
SPEAKER_04 |
transcript.pyannote[312].start |
5403.94596875 |
transcript.pyannote[312].end |
5411.96159375 |
transcript.pyannote[313].speaker |
SPEAKER_04 |
transcript.pyannote[313].start |
5412.85596875 |
transcript.pyannote[313].end |
5419.13346875 |
transcript.pyannote[314].speaker |
SPEAKER_04 |
transcript.pyannote[314].start |
5419.65659375 |
transcript.pyannote[314].end |
5422.17096875 |
transcript.pyannote[315].speaker |
SPEAKER_04 |
transcript.pyannote[315].start |
5422.81221875 |
transcript.pyannote[315].end |
5427.40221875 |
transcript.pyannote[316].speaker |
SPEAKER_04 |
transcript.pyannote[316].start |
5427.57096875 |
transcript.pyannote[316].end |
5448.49596875 |
transcript.pyannote[317].speaker |
SPEAKER_04 |
transcript.pyannote[317].start |
5449.20471875 |
transcript.pyannote[317].end |
5449.74471875 |
transcript.pyannote[318].speaker |
SPEAKER_04 |
transcript.pyannote[318].start |
5450.25096875 |
transcript.pyannote[318].end |
5452.93409375 |
transcript.pyannote[319].speaker |
SPEAKER_04 |
transcript.pyannote[319].start |
5453.52471875 |
transcript.pyannote[319].end |
5462.24909375 |
transcript.pyannote[320].speaker |
SPEAKER_04 |
transcript.pyannote[320].start |
5462.68784375 |
transcript.pyannote[320].end |
5463.29534375 |
transcript.pyannote[321].speaker |
SPEAKER_04 |
transcript.pyannote[321].start |
5463.59909375 |
transcript.pyannote[321].end |
5464.93221875 |
transcript.pyannote[322].speaker |
SPEAKER_04 |
transcript.pyannote[322].start |
5465.35409375 |
transcript.pyannote[322].end |
5481.97596875 |
transcript.pyannote[323].speaker |
SPEAKER_04 |
transcript.pyannote[323].start |
5483.14034375 |
transcript.pyannote[323].end |
5492.82659375 |
transcript.pyannote[324].speaker |
SPEAKER_04 |
transcript.pyannote[324].start |
5493.67034375 |
transcript.pyannote[324].end |
5496.72471875 |
transcript.pyannote[325].speaker |
SPEAKER_04 |
transcript.pyannote[325].start |
5496.97784375 |
transcript.pyannote[325].end |
5504.75721875 |
transcript.pyannote[326].speaker |
SPEAKER_04 |
transcript.pyannote[326].start |
5505.26346875 |
transcript.pyannote[326].end |
5512.24971875 |
transcript.pyannote[327].speaker |
SPEAKER_04 |
transcript.pyannote[327].start |
5512.65471875 |
transcript.pyannote[327].end |
5517.27846875 |
transcript.pyannote[328].speaker |
SPEAKER_04 |
transcript.pyannote[328].start |
5517.90284375 |
transcript.pyannote[328].end |
5518.89846875 |
transcript.pyannote[329].speaker |
SPEAKER_04 |
transcript.pyannote[329].start |
5519.11784375 |
transcript.pyannote[329].end |
5535.03096875 |
transcript.pyannote[330].speaker |
SPEAKER_04 |
transcript.pyannote[330].start |
5535.65534375 |
transcript.pyannote[330].end |
5537.51159375 |
transcript.pyannote[331].speaker |
SPEAKER_04 |
transcript.pyannote[331].start |
5537.62971875 |
transcript.pyannote[331].end |
5565.18659375 |
transcript.pyannote[332].speaker |
SPEAKER_04 |
transcript.pyannote[332].start |
5565.60846875 |
transcript.pyannote[332].end |
5566.08096875 |
transcript.pyannote[333].speaker |
SPEAKER_04 |
transcript.pyannote[333].start |
5567.12721875 |
transcript.pyannote[333].end |
5606.15909375 |
transcript.pyannote[334].speaker |
SPEAKER_04 |
transcript.pyannote[334].start |
5606.47971875 |
transcript.pyannote[334].end |
5609.97284375 |
transcript.pyannote[335].speaker |
SPEAKER_04 |
transcript.pyannote[335].start |
5610.12471875 |
transcript.pyannote[335].end |
5618.66346875 |
transcript.pyannote[336].speaker |
SPEAKER_04 |
transcript.pyannote[336].start |
5619.27096875 |
transcript.pyannote[336].end |
5685.31971875 |
transcript.pyannote[337].speaker |
SPEAKER_04 |
transcript.pyannote[337].start |
5685.80909375 |
transcript.pyannote[337].end |
5692.05284375 |
transcript.pyannote[338].speaker |
SPEAKER_04 |
transcript.pyannote[338].start |
5692.50846875 |
transcript.pyannote[338].end |
5697.38534375 |
transcript.pyannote[339].speaker |
SPEAKER_04 |
transcript.pyannote[339].start |
5697.89159375 |
transcript.pyannote[339].end |
5754.87846875 |
transcript.pyannote[340].speaker |
SPEAKER_04 |
transcript.pyannote[340].start |
5755.18221875 |
transcript.pyannote[340].end |
5755.87409375 |
transcript.pyannote[341].speaker |
SPEAKER_04 |
transcript.pyannote[341].start |
5756.22846875 |
transcript.pyannote[341].end |
5788.91534375 |
transcript.pyannote[342].speaker |
SPEAKER_04 |
transcript.pyannote[342].start |
5789.16846875 |
transcript.pyannote[342].end |
5807.64659375 |
transcript.pyannote[343].speaker |
SPEAKER_04 |
transcript.pyannote[343].start |
5807.86596875 |
transcript.pyannote[343].end |
5814.21096875 |
transcript.pyannote[344].speaker |
SPEAKER_04 |
transcript.pyannote[344].start |
5814.76784375 |
transcript.pyannote[344].end |
5860.93784375 |
transcript.pyannote[345].speaker |
SPEAKER_06 |
transcript.pyannote[345].start |
5860.93784375 |
transcript.pyannote[345].end |
5861.02221875 |
transcript.pyannote[346].speaker |
SPEAKER_06 |
transcript.pyannote[346].start |
5861.66346875 |
transcript.pyannote[346].end |
5867.31659375 |
transcript.pyannote[347].speaker |
SPEAKER_23 |
transcript.pyannote[347].start |
5874.23534375 |
transcript.pyannote[347].end |
5907.73221875 |
transcript.pyannote[348].speaker |
SPEAKER_23 |
transcript.pyannote[348].start |
5907.96846875 |
transcript.pyannote[348].end |
5982.06659375 |
transcript.pyannote[349].speaker |
SPEAKER_23 |
transcript.pyannote[349].start |
5982.33659375 |
transcript.pyannote[349].end |
6004.13909375 |
transcript.pyannote[350].speaker |
SPEAKER_23 |
transcript.pyannote[350].start |
6004.54409375 |
transcript.pyannote[350].end |
6008.77971875 |
transcript.pyannote[351].speaker |
SPEAKER_23 |
transcript.pyannote[351].start |
6009.43784375 |
transcript.pyannote[351].end |
6033.02909375 |
transcript.pyannote[352].speaker |
SPEAKER_23 |
transcript.pyannote[352].start |
6033.50159375 |
transcript.pyannote[352].end |
6034.44659375 |
transcript.pyannote[353].speaker |
SPEAKER_23 |
transcript.pyannote[353].start |
6035.25659375 |
transcript.pyannote[353].end |
6042.85034375 |
transcript.pyannote[354].speaker |
SPEAKER_23 |
transcript.pyannote[354].start |
6043.01909375 |
transcript.pyannote[354].end |
6053.75159375 |
transcript.pyannote[355].speaker |
SPEAKER_23 |
transcript.pyannote[355].start |
6054.19034375 |
transcript.pyannote[355].end |
6057.76784375 |
transcript.pyannote[356].speaker |
SPEAKER_23 |
transcript.pyannote[356].start |
6058.27409375 |
transcript.pyannote[356].end |
6073.30971875 |
transcript.pyannote[357].speaker |
SPEAKER_23 |
transcript.pyannote[357].start |
6073.32659375 |
transcript.pyannote[357].end |
6081.19034375 |
transcript.pyannote[358].speaker |
SPEAKER_23 |
transcript.pyannote[358].start |
6081.61221875 |
transcript.pyannote[358].end |
6082.00034375 |
transcript.pyannote[359].speaker |
SPEAKER_23 |
transcript.pyannote[359].start |
6082.13534375 |
transcript.pyannote[359].end |
6087.18096875 |
transcript.pyannote[360].speaker |
SPEAKER_23 |
transcript.pyannote[360].start |
6087.67034375 |
transcript.pyannote[360].end |
6087.97409375 |
transcript.pyannote[361].speaker |
SPEAKER_23 |
transcript.pyannote[361].start |
6088.39596875 |
transcript.pyannote[361].end |
6094.75784375 |
transcript.pyannote[362].speaker |
SPEAKER_23 |
transcript.pyannote[362].start |
6094.99409375 |
transcript.pyannote[362].end |
6107.65034375 |
transcript.pyannote[363].speaker |
SPEAKER_23 |
transcript.pyannote[363].start |
6108.24096875 |
transcript.pyannote[363].end |
6131.29221875 |
transcript.pyannote[364].speaker |
SPEAKER_23 |
transcript.pyannote[364].start |
6131.42721875 |
transcript.pyannote[364].end |
6145.36596875 |
transcript.pyannote[365].speaker |
SPEAKER_06 |
transcript.pyannote[365].start |
6146.05784375 |
transcript.pyannote[365].end |
6147.45846875 |
transcript.pyannote[366].speaker |
SPEAKER_06 |
transcript.pyannote[366].start |
6147.69471875 |
transcript.pyannote[366].end |
6154.10721875 |
transcript.pyannote[367].speaker |
SPEAKER_06 |
transcript.pyannote[367].start |
6154.56284375 |
transcript.pyannote[367].end |
6159.42284375 |
transcript.pyannote[368].speaker |
SPEAKER_06 |
transcript.pyannote[368].start |
6159.82784375 |
transcript.pyannote[368].end |
6166.17284375 |
transcript.pyannote[369].speaker |
SPEAKER_06 |
transcript.pyannote[369].start |
6166.98284375 |
transcript.pyannote[369].end |
6171.23534375 |
transcript.pyannote[370].speaker |
SPEAKER_06 |
transcript.pyannote[370].start |
6171.31971875 |
transcript.pyannote[370].end |
6178.57596875 |
transcript.pyannote[371].speaker |
SPEAKER_06 |
transcript.pyannote[371].start |
6179.14971875 |
transcript.pyannote[371].end |
6180.44909375 |
transcript.pyannote[372].speaker |
SPEAKER_06 |
transcript.pyannote[372].start |
6180.76971875 |
transcript.pyannote[372].end |
6182.45721875 |
transcript.pyannote[373].speaker |
SPEAKER_06 |
transcript.pyannote[373].start |
6183.43596875 |
transcript.pyannote[373].end |
6193.52721875 |
transcript.pyannote[374].speaker |
SPEAKER_12 |
transcript.pyannote[374].start |
6200.91846875 |
transcript.pyannote[374].end |
6205.00221875 |
transcript.pyannote[375].speaker |
SPEAKER_12 |
transcript.pyannote[375].start |
6209.91284375 |
transcript.pyannote[375].end |
6209.96346875 |
transcript.pyannote[376].speaker |
SPEAKER_16 |
transcript.pyannote[376].start |
6209.96346875 |
transcript.pyannote[376].end |
6210.94221875 |
transcript.pyannote[377].speaker |
SPEAKER_16 |
transcript.pyannote[377].start |
6210.97596875 |
transcript.pyannote[377].end |
6211.02659375 |
transcript.pyannote[378].speaker |
SPEAKER_16 |
transcript.pyannote[378].start |
6211.19534375 |
transcript.pyannote[378].end |
6216.64596875 |
transcript.pyannote[379].speaker |
SPEAKER_16 |
transcript.pyannote[379].start |
6217.01721875 |
transcript.pyannote[379].end |
6220.03784375 |
transcript.pyannote[380].speaker |
SPEAKER_16 |
transcript.pyannote[380].start |
6220.78034375 |
transcript.pyannote[380].end |
6247.03784375 |
transcript.pyannote[381].speaker |
SPEAKER_21 |
transcript.pyannote[381].start |
6237.28409375 |
transcript.pyannote[381].end |
6237.75659375 |
transcript.pyannote[382].speaker |
SPEAKER_21 |
transcript.pyannote[382].start |
6238.02659375 |
transcript.pyannote[382].end |
6238.09409375 |
transcript.pyannote[383].speaker |
SPEAKER_16 |
transcript.pyannote[383].start |
6247.30784375 |
transcript.pyannote[383].end |
6256.75784375 |
transcript.pyannote[384].speaker |
SPEAKER_16 |
transcript.pyannote[384].start |
6257.01096875 |
transcript.pyannote[384].end |
6257.66909375 |
transcript.pyannote[385].speaker |
SPEAKER_16 |
transcript.pyannote[385].start |
6257.97284375 |
transcript.pyannote[385].end |
6259.54221875 |
transcript.pyannote[386].speaker |
SPEAKER_16 |
transcript.pyannote[386].start |
6260.28471875 |
transcript.pyannote[386].end |
6265.27971875 |
transcript.pyannote[387].speaker |
SPEAKER_16 |
transcript.pyannote[387].start |
6266.02221875 |
transcript.pyannote[387].end |
6266.84909375 |
transcript.pyannote[388].speaker |
SPEAKER_13 |
transcript.pyannote[388].start |
6266.84909375 |
transcript.pyannote[388].end |
6266.86596875 |
transcript.pyannote[389].speaker |
SPEAKER_13 |
transcript.pyannote[389].start |
6267.64221875 |
transcript.pyannote[389].end |
6290.01846875 |
transcript.pyannote[390].speaker |
SPEAKER_16 |
transcript.pyannote[390].start |
6270.51096875 |
transcript.pyannote[390].end |
6270.56159375 |
transcript.pyannote[391].speaker |
SPEAKER_16 |
transcript.pyannote[391].start |
6270.59534375 |
transcript.pyannote[391].end |
6270.62909375 |
transcript.pyannote[392].speaker |
SPEAKER_16 |
transcript.pyannote[392].start |
6287.08221875 |
transcript.pyannote[392].end |
6334.31534375 |
transcript.pyannote[393].speaker |
SPEAKER_13 |
transcript.pyannote[393].start |
6290.35596875 |
transcript.pyannote[393].end |
6290.82846875 |
transcript.pyannote[394].speaker |
SPEAKER_16 |
transcript.pyannote[394].start |
6334.78784375 |
transcript.pyannote[394].end |
6336.01971875 |
transcript.pyannote[395].speaker |
SPEAKER_16 |
transcript.pyannote[395].start |
6336.67784375 |
transcript.pyannote[395].end |
6350.04284375 |
transcript.pyannote[396].speaker |
SPEAKER_13 |
transcript.pyannote[396].start |
6350.04284375 |
transcript.pyannote[396].end |
6350.05971875 |
transcript.pyannote[397].speaker |
SPEAKER_13 |
transcript.pyannote[397].start |
6351.44346875 |
transcript.pyannote[397].end |
6366.02346875 |
transcript.pyannote[398].speaker |
SPEAKER_16 |
transcript.pyannote[398].start |
6357.68721875 |
transcript.pyannote[398].end |
6359.42534375 |
transcript.pyannote[399].speaker |
SPEAKER_16 |
transcript.pyannote[399].start |
6363.37409375 |
transcript.pyannote[399].end |
6365.09534375 |
transcript.pyannote[400].speaker |
SPEAKER_16 |
transcript.pyannote[400].start |
6365.16284375 |
transcript.pyannote[400].end |
6373.17846875 |
transcript.pyannote[401].speaker |
SPEAKER_21 |
transcript.pyannote[401].start |
6373.33034375 |
transcript.pyannote[401].end |
6373.53284375 |
transcript.pyannote[402].speaker |
SPEAKER_05 |
transcript.pyannote[402].start |
6374.02221875 |
transcript.pyannote[402].end |
6378.02159375 |
transcript.pyannote[403].speaker |
SPEAKER_16 |
transcript.pyannote[403].start |
6376.80659375 |
transcript.pyannote[403].end |
6381.85221875 |
transcript.pyannote[404].speaker |
SPEAKER_05 |
transcript.pyannote[404].start |
6381.85221875 |
transcript.pyannote[404].end |
6404.04284375 |
transcript.pyannote[405].speaker |
SPEAKER_16 |
transcript.pyannote[405].start |
6403.14846875 |
transcript.pyannote[405].end |
6410.26971875 |
transcript.pyannote[406].speaker |
SPEAKER_16 |
transcript.pyannote[406].start |
6410.65784375 |
transcript.pyannote[406].end |
6415.34909375 |
transcript.pyannote[407].speaker |
SPEAKER_16 |
transcript.pyannote[407].start |
6415.50096875 |
transcript.pyannote[407].end |
6417.42471875 |
transcript.pyannote[408].speaker |
SPEAKER_16 |
transcript.pyannote[408].start |
6418.18409375 |
transcript.pyannote[408].end |
6420.51284375 |
transcript.pyannote[409].speaker |
SPEAKER_16 |
transcript.pyannote[409].start |
6421.39034375 |
transcript.pyannote[409].end |
6424.44471875 |
transcript.pyannote[410].speaker |
SPEAKER_16 |
transcript.pyannote[410].start |
6424.95096875 |
transcript.pyannote[410].end |
6425.86221875 |
transcript.pyannote[411].speaker |
SPEAKER_13 |
transcript.pyannote[411].start |
6425.86221875 |
transcript.pyannote[411].end |
6425.87909375 |
transcript.pyannote[412].speaker |
SPEAKER_13 |
transcript.pyannote[412].start |
6428.15721875 |
transcript.pyannote[412].end |
6446.16284375 |
transcript.pyannote[413].speaker |
SPEAKER_16 |
transcript.pyannote[413].start |
6428.20784375 |
transcript.pyannote[413].end |
6428.39346875 |
transcript.pyannote[414].speaker |
SPEAKER_16 |
transcript.pyannote[414].start |
6428.93346875 |
transcript.pyannote[414].end |
6429.38909375 |
transcript.pyannote[415].speaker |
SPEAKER_16 |
transcript.pyannote[415].start |
6430.26659375 |
transcript.pyannote[415].end |
6430.55346875 |
transcript.pyannote[416].speaker |
SPEAKER_00 |
transcript.pyannote[416].start |
6432.61221875 |
transcript.pyannote[416].end |
6432.62909375 |
transcript.pyannote[417].speaker |
SPEAKER_14 |
transcript.pyannote[417].start |
6432.62909375 |
transcript.pyannote[417].end |
6433.69221875 |
transcript.pyannote[418].speaker |
SPEAKER_16 |
transcript.pyannote[418].start |
6442.92284375 |
transcript.pyannote[418].end |
6444.39096875 |
transcript.pyannote[419].speaker |
SPEAKER_16 |
transcript.pyannote[419].start |
6446.16284375 |
transcript.pyannote[419].end |
6446.19659375 |
transcript.pyannote[420].speaker |
SPEAKER_05 |
transcript.pyannote[420].start |
6448.72784375 |
transcript.pyannote[420].end |
6472.47096875 |
transcript.pyannote[421].speaker |
SPEAKER_05 |
transcript.pyannote[421].start |
6472.84221875 |
transcript.pyannote[421].end |
6476.14971875 |
transcript.pyannote[422].speaker |
SPEAKER_05 |
transcript.pyannote[422].start |
6476.18346875 |
transcript.pyannote[422].end |
6482.39346875 |
transcript.pyannote[423].speaker |
SPEAKER_05 |
transcript.pyannote[423].start |
6483.27096875 |
transcript.pyannote[423].end |
6484.97534375 |
transcript.pyannote[424].speaker |
SPEAKER_16 |
transcript.pyannote[424].start |
6484.97534375 |
transcript.pyannote[424].end |
6485.34659375 |
transcript.pyannote[425].speaker |
SPEAKER_05 |
transcript.pyannote[425].start |
6485.34659375 |
transcript.pyannote[425].end |
6485.36346875 |
transcript.pyannote[426].speaker |
SPEAKER_16 |
transcript.pyannote[426].start |
6485.65034375 |
transcript.pyannote[426].end |
6485.66721875 |
transcript.pyannote[427].speaker |
SPEAKER_05 |
transcript.pyannote[427].start |
6485.66721875 |
transcript.pyannote[427].end |
6485.68409375 |
transcript.pyannote[428].speaker |
SPEAKER_16 |
transcript.pyannote[428].start |
6485.68409375 |
transcript.pyannote[428].end |
6486.19034375 |
transcript.pyannote[429].speaker |
SPEAKER_16 |
transcript.pyannote[429].start |
6486.86534375 |
transcript.pyannote[429].end |
6487.87784375 |
transcript.pyannote[430].speaker |
SPEAKER_16 |
transcript.pyannote[430].start |
6488.77221875 |
transcript.pyannote[430].end |
6519.46784375 |
transcript.pyannote[431].speaker |
SPEAKER_16 |
transcript.pyannote[431].start |
6519.75471875 |
transcript.pyannote[431].end |
6527.83784375 |
transcript.pyannote[432].speaker |
SPEAKER_16 |
transcript.pyannote[432].start |
6528.58034375 |
transcript.pyannote[432].end |
6538.04721875 |
transcript.pyannote[433].speaker |
SPEAKER_13 |
transcript.pyannote[433].start |
6538.04721875 |
transcript.pyannote[433].end |
6538.13159375 |
transcript.pyannote[434].speaker |
SPEAKER_13 |
transcript.pyannote[434].start |
6538.89096875 |
transcript.pyannote[434].end |
6551.02409375 |
transcript.pyannote[435].speaker |
SPEAKER_16 |
transcript.pyannote[435].start |
6542.11409375 |
transcript.pyannote[435].end |
6542.85659375 |
transcript.pyannote[436].speaker |
SPEAKER_16 |
transcript.pyannote[436].start |
6544.07159375 |
transcript.pyannote[436].end |
6547.24409375 |
transcript.pyannote[437].speaker |
SPEAKER_16 |
transcript.pyannote[437].start |
6550.51784375 |
transcript.pyannote[437].end |
6565.13159375 |
transcript.pyannote[438].speaker |
SPEAKER_26 |
transcript.pyannote[438].start |
6551.02409375 |
transcript.pyannote[438].end |
6552.15471875 |
transcript.pyannote[439].speaker |
SPEAKER_13 |
transcript.pyannote[439].start |
6565.13159375 |
transcript.pyannote[439].end |
6574.80096875 |
transcript.pyannote[440].speaker |
SPEAKER_16 |
transcript.pyannote[440].start |
6569.16471875 |
transcript.pyannote[440].end |
6570.56534375 |
transcript.pyannote[441].speaker |
SPEAKER_16 |
transcript.pyannote[441].start |
6575.44221875 |
transcript.pyannote[441].end |
6585.14534375 |
transcript.pyannote[442].speaker |
SPEAKER_13 |
transcript.pyannote[442].start |
6577.14659375 |
transcript.pyannote[442].end |
6577.77096875 |
transcript.pyannote[443].speaker |
SPEAKER_13 |
transcript.pyannote[443].start |
6578.49659375 |
transcript.pyannote[443].end |
6579.30659375 |
transcript.pyannote[444].speaker |
SPEAKER_16 |
transcript.pyannote[444].start |
6586.29284375 |
transcript.pyannote[444].end |
6588.03096875 |
transcript.pyannote[445].speaker |
SPEAKER_16 |
transcript.pyannote[445].start |
6588.68909375 |
transcript.pyannote[445].end |
6595.45596875 |
transcript.pyannote[446].speaker |
SPEAKER_16 |
transcript.pyannote[446].start |
6595.99596875 |
transcript.pyannote[446].end |
6600.31596875 |
transcript.pyannote[447].speaker |
SPEAKER_16 |
transcript.pyannote[447].start |
6601.05846875 |
transcript.pyannote[447].end |
6606.98159375 |
transcript.pyannote[448].speaker |
SPEAKER_16 |
transcript.pyannote[448].start |
6608.65221875 |
transcript.pyannote[448].end |
6624.37971875 |
transcript.pyannote[449].speaker |
SPEAKER_15 |
transcript.pyannote[449].start |
6610.03596875 |
transcript.pyannote[449].end |
6610.96409375 |
transcript.pyannote[450].speaker |
SPEAKER_00 |
transcript.pyannote[450].start |
6610.96409375 |
transcript.pyannote[450].end |
6611.26784375 |
transcript.pyannote[451].speaker |
SPEAKER_13 |
transcript.pyannote[451].start |
6625.30784375 |
transcript.pyannote[451].end |
6634.09971875 |
transcript.pyannote[452].speaker |
SPEAKER_16 |
transcript.pyannote[452].start |
6630.43784375 |
transcript.pyannote[452].end |
6630.72471875 |
transcript.pyannote[453].speaker |
SPEAKER_16 |
transcript.pyannote[453].start |
6632.76659375 |
transcript.pyannote[453].end |
6635.01096875 |
transcript.pyannote[454].speaker |
SPEAKER_13 |
transcript.pyannote[454].start |
6635.01096875 |
transcript.pyannote[454].end |
6643.14471875 |
transcript.pyannote[455].speaker |
SPEAKER_16 |
transcript.pyannote[455].start |
6641.67659375 |
transcript.pyannote[455].end |
6649.01721875 |
transcript.pyannote[456].speaker |
SPEAKER_13 |
transcript.pyannote[456].start |
6643.80284375 |
transcript.pyannote[456].end |
6644.54534375 |
transcript.pyannote[457].speaker |
SPEAKER_16 |
transcript.pyannote[457].start |
6649.40534375 |
transcript.pyannote[457].end |
6650.14784375 |
transcript.pyannote[458].speaker |
SPEAKER_16 |
transcript.pyannote[458].start |
6650.56971875 |
transcript.pyannote[458].end |
6655.10909375 |
transcript.pyannote[459].speaker |
SPEAKER_16 |
transcript.pyannote[459].start |
6655.90221875 |
transcript.pyannote[459].end |
6656.57721875 |
transcript.pyannote[460].speaker |
SPEAKER_16 |
transcript.pyannote[460].start |
6656.94846875 |
transcript.pyannote[460].end |
6658.58534375 |
transcript.pyannote[461].speaker |
SPEAKER_16 |
transcript.pyannote[461].start |
6659.17596875 |
transcript.pyannote[461].end |
6662.46659375 |
transcript.pyannote[462].speaker |
SPEAKER_16 |
transcript.pyannote[462].start |
6663.02346875 |
transcript.pyannote[462].end |
6664.03596875 |
transcript.pyannote[463].speaker |
SPEAKER_16 |
transcript.pyannote[463].start |
6664.87971875 |
transcript.pyannote[463].end |
6686.05784375 |
transcript.pyannote[464].speaker |
SPEAKER_16 |
transcript.pyannote[464].start |
6686.51346875 |
transcript.pyannote[464].end |
6694.02284375 |
transcript.pyannote[465].speaker |
SPEAKER_16 |
transcript.pyannote[465].start |
6694.59659375 |
transcript.pyannote[465].end |
6697.41471875 |
transcript.pyannote[466].speaker |
SPEAKER_16 |
transcript.pyannote[466].start |
6698.95034375 |
transcript.pyannote[466].end |
6709.71659375 |
transcript.pyannote[467].speaker |
SPEAKER_16 |
transcript.pyannote[467].start |
6709.93596875 |
transcript.pyannote[467].end |
6710.91471875 |
transcript.pyannote[468].speaker |
SPEAKER_13 |
transcript.pyannote[468].start |
6710.91471875 |
transcript.pyannote[468].end |
6710.93159375 |
transcript.pyannote[469].speaker |
SPEAKER_16 |
transcript.pyannote[469].start |
6710.93159375 |
transcript.pyannote[469].end |
6710.96534375 |
transcript.pyannote[470].speaker |
SPEAKER_16 |
transcript.pyannote[470].start |
6711.35346875 |
transcript.pyannote[470].end |
6711.38721875 |
transcript.pyannote[471].speaker |
SPEAKER_13 |
transcript.pyannote[471].start |
6711.38721875 |
transcript.pyannote[471].end |
6753.67596875 |
transcript.pyannote[472].speaker |
SPEAKER_16 |
transcript.pyannote[472].start |
6750.01409375 |
transcript.pyannote[472].end |
6764.54346875 |
transcript.pyannote[473].speaker |
SPEAKER_13 |
transcript.pyannote[473].start |
6754.06409375 |
transcript.pyannote[473].end |
6754.16534375 |
transcript.pyannote[474].speaker |
SPEAKER_13 |
transcript.pyannote[474].start |
6760.05471875 |
transcript.pyannote[474].end |
6785.33346875 |
transcript.pyannote[475].speaker |
SPEAKER_16 |
transcript.pyannote[475].start |
6784.96221875 |
transcript.pyannote[475].end |
6785.43471875 |
transcript.pyannote[476].speaker |
SPEAKER_13 |
transcript.pyannote[476].start |
6785.43471875 |
transcript.pyannote[476].end |
6785.97471875 |
transcript.pyannote[477].speaker |
SPEAKER_16 |
transcript.pyannote[477].start |
6785.97471875 |
transcript.pyannote[477].end |
6794.64846875 |
transcript.pyannote[478].speaker |
SPEAKER_14 |
transcript.pyannote[478].start |
6790.71659375 |
transcript.pyannote[478].end |
6790.88534375 |
transcript.pyannote[479].speaker |
SPEAKER_16 |
transcript.pyannote[479].start |
6794.95221875 |
transcript.pyannote[479].end |
6798.17534375 |
transcript.pyannote[480].speaker |
SPEAKER_16 |
transcript.pyannote[480].start |
6798.83346875 |
transcript.pyannote[480].end |
6799.30596875 |
transcript.pyannote[481].speaker |
SPEAKER_16 |
transcript.pyannote[481].start |
6800.06534375 |
transcript.pyannote[481].end |
6813.91971875 |
transcript.pyannote[482].speaker |
SPEAKER_16 |
transcript.pyannote[482].start |
6815.45534375 |
transcript.pyannote[482].end |
6818.96534375 |
transcript.pyannote[483].speaker |
SPEAKER_16 |
transcript.pyannote[483].start |
6819.38721875 |
transcript.pyannote[483].end |
6820.18034375 |
transcript.pyannote[484].speaker |
SPEAKER_16 |
transcript.pyannote[484].start |
6820.97346875 |
transcript.pyannote[484].end |
6832.07721875 |
transcript.pyannote[485].speaker |
SPEAKER_16 |
transcript.pyannote[485].start |
6832.19534375 |
transcript.pyannote[485].end |
6833.20784375 |
transcript.pyannote[486].speaker |
SPEAKER_16 |
transcript.pyannote[486].start |
6833.84909375 |
transcript.pyannote[486].end |
6835.57034375 |
transcript.pyannote[487].speaker |
SPEAKER_16 |
transcript.pyannote[487].start |
6836.38034375 |
transcript.pyannote[487].end |
6837.22409375 |
transcript.pyannote[488].speaker |
SPEAKER_16 |
transcript.pyannote[488].start |
6837.74721875 |
transcript.pyannote[488].end |
6838.28721875 |
transcript.pyannote[489].speaker |
SPEAKER_16 |
transcript.pyannote[489].start |
6839.16471875 |
transcript.pyannote[489].end |
6842.70846875 |
transcript.pyannote[490].speaker |
SPEAKER_16 |
transcript.pyannote[490].start |
6843.34971875 |
transcript.pyannote[490].end |
6843.95721875 |
transcript.pyannote[491].speaker |
SPEAKER_16 |
transcript.pyannote[491].start |
6844.22721875 |
transcript.pyannote[491].end |
6846.45471875 |
transcript.pyannote[492].speaker |
SPEAKER_16 |
transcript.pyannote[492].start |
6846.75846875 |
transcript.pyannote[492].end |
6848.31096875 |
transcript.pyannote[493].speaker |
SPEAKER_16 |
transcript.pyannote[493].start |
6850.23471875 |
transcript.pyannote[493].end |
6850.72409375 |
transcript.pyannote[494].speaker |
SPEAKER_16 |
transcript.pyannote[494].start |
6851.51721875 |
transcript.pyannote[494].end |
6865.96221875 |
transcript.pyannote[495].speaker |
SPEAKER_16 |
transcript.pyannote[495].start |
6866.13096875 |
transcript.pyannote[495].end |
6878.11221875 |
transcript.pyannote[496].speaker |
SPEAKER_16 |
transcript.pyannote[496].start |
6879.02346875 |
transcript.pyannote[496].end |
6880.03596875 |
transcript.pyannote[497].speaker |
SPEAKER_13 |
transcript.pyannote[497].start |
6879.09096875 |
transcript.pyannote[497].end |
6879.32721875 |
transcript.pyannote[498].speaker |
SPEAKER_13 |
transcript.pyannote[498].start |
6880.03596875 |
transcript.pyannote[498].end |
6880.05284375 |
transcript.pyannote[499].speaker |
SPEAKER_16 |
transcript.pyannote[499].start |
6880.05284375 |
transcript.pyannote[499].end |
6880.10346875 |
transcript.pyannote[500].speaker |
SPEAKER_13 |
transcript.pyannote[500].start |
6880.10346875 |
transcript.pyannote[500].end |
6913.19534375 |
transcript.pyannote[501].speaker |
SPEAKER_00 |
transcript.pyannote[501].start |
6890.58284375 |
transcript.pyannote[501].end |
6891.03846875 |
transcript.pyannote[502].speaker |
SPEAKER_16 |
transcript.pyannote[502].start |
6913.19534375 |
transcript.pyannote[502].end |
6920.63721875 |
transcript.pyannote[503].speaker |
SPEAKER_13 |
transcript.pyannote[503].start |
6913.22909375 |
transcript.pyannote[503].end |
6913.76909375 |
transcript.pyannote[504].speaker |
SPEAKER_16 |
transcript.pyannote[504].start |
6921.00846875 |
transcript.pyannote[504].end |
6921.68346875 |
transcript.pyannote[505].speaker |
SPEAKER_13 |
transcript.pyannote[505].start |
6921.04221875 |
transcript.pyannote[505].end |
6921.80159375 |
transcript.pyannote[506].speaker |
SPEAKER_16 |
transcript.pyannote[506].start |
6921.80159375 |
transcript.pyannote[506].end |
6930.37409375 |
transcript.pyannote[507].speaker |
SPEAKER_13 |
transcript.pyannote[507].start |
6921.93659375 |
transcript.pyannote[507].end |
6922.54409375 |
transcript.pyannote[508].speaker |
SPEAKER_16 |
transcript.pyannote[508].start |
6930.52596875 |
transcript.pyannote[508].end |
6930.98159375 |
transcript.pyannote[509].speaker |
SPEAKER_16 |
transcript.pyannote[509].start |
6931.63971875 |
transcript.pyannote[509].end |
6959.90534375 |
transcript.pyannote[510].speaker |
SPEAKER_16 |
transcript.pyannote[510].start |
6960.83346875 |
transcript.pyannote[510].end |
6961.62659375 |
transcript.pyannote[511].speaker |
SPEAKER_16 |
transcript.pyannote[511].start |
6962.16659375 |
transcript.pyannote[511].end |
6969.05159375 |
transcript.pyannote[512].speaker |
SPEAKER_16 |
transcript.pyannote[512].start |
6970.31721875 |
transcript.pyannote[512].end |
6971.02596875 |
transcript.pyannote[513].speaker |
SPEAKER_13 |
transcript.pyannote[513].start |
6971.02596875 |
transcript.pyannote[513].end |
6971.27909375 |
transcript.pyannote[514].speaker |
SPEAKER_16 |
transcript.pyannote[514].start |
6971.27909375 |
transcript.pyannote[514].end |
6972.03846875 |
transcript.pyannote[515].speaker |
SPEAKER_13 |
transcript.pyannote[515].start |
6972.03846875 |
transcript.pyannote[515].end |
6973.32096875 |
transcript.pyannote[516].speaker |
SPEAKER_16 |
transcript.pyannote[516].start |
6973.48971875 |
transcript.pyannote[516].end |
6973.54034375 |
transcript.pyannote[517].speaker |
SPEAKER_13 |
transcript.pyannote[517].start |
6973.54034375 |
transcript.pyannote[517].end |
6993.77346875 |
transcript.pyannote[518].speaker |
SPEAKER_16 |
transcript.pyannote[518].start |
6973.64159375 |
transcript.pyannote[518].end |
6974.50221875 |
transcript.pyannote[519].speaker |
SPEAKER_00 |
transcript.pyannote[519].start |
6977.26971875 |
transcript.pyannote[519].end |
6977.50596875 |
transcript.pyannote[520].speaker |
SPEAKER_15 |
transcript.pyannote[520].start |
6984.34034375 |
transcript.pyannote[520].end |
6984.81284375 |
transcript.pyannote[521].speaker |
SPEAKER_16 |
transcript.pyannote[521].start |
6992.33909375 |
transcript.pyannote[521].end |
7004.25284375 |
transcript.pyannote[522].speaker |
SPEAKER_13 |
transcript.pyannote[522].start |
6999.30846875 |
transcript.pyannote[522].end |
6999.66284375 |
transcript.pyannote[523].speaker |
SPEAKER_16 |
transcript.pyannote[523].start |
7005.02909375 |
transcript.pyannote[523].end |
7011.03659375 |
transcript.pyannote[524].speaker |
SPEAKER_13 |
transcript.pyannote[524].start |
7011.03659375 |
transcript.pyannote[524].end |
7029.21096875 |
transcript.pyannote[525].speaker |
SPEAKER_21 |
transcript.pyannote[525].start |
7027.08471875 |
transcript.pyannote[525].end |
7029.02534375 |
transcript.pyannote[526].speaker |
SPEAKER_06 |
transcript.pyannote[526].start |
7029.02534375 |
transcript.pyannote[526].end |
7029.07596875 |
transcript.pyannote[527].speaker |
SPEAKER_21 |
transcript.pyannote[527].start |
7029.07596875 |
transcript.pyannote[527].end |
7029.37971875 |
transcript.pyannote[528].speaker |
SPEAKER_13 |
transcript.pyannote[528].start |
7029.37971875 |
transcript.pyannote[528].end |
7029.49784375 |
transcript.pyannote[529].speaker |
SPEAKER_21 |
transcript.pyannote[529].start |
7029.49784375 |
transcript.pyannote[529].end |
7029.51471875 |
transcript.pyannote[530].speaker |
SPEAKER_13 |
transcript.pyannote[530].start |
7029.51471875 |
transcript.pyannote[530].end |
7029.53159375 |
transcript.pyannote[531].speaker |
SPEAKER_21 |
transcript.pyannote[531].start |
7029.53159375 |
transcript.pyannote[531].end |
7029.66659375 |
transcript.pyannote[532].speaker |
SPEAKER_13 |
transcript.pyannote[532].start |
7030.37534375 |
transcript.pyannote[532].end |
7030.39221875 |
transcript.pyannote[533].speaker |
SPEAKER_06 |
transcript.pyannote[533].start |
7030.39221875 |
transcript.pyannote[533].end |
7036.19721875 |
transcript.pyannote[534].speaker |
SPEAKER_17 |
transcript.pyannote[534].start |
7047.16596875 |
transcript.pyannote[534].end |
7058.60721875 |
transcript.pyannote[535].speaker |
SPEAKER_06 |
transcript.pyannote[535].start |
7053.40971875 |
transcript.pyannote[535].end |
7054.10159375 |
transcript.pyannote[536].speaker |
SPEAKER_06 |
transcript.pyannote[536].start |
7055.92409375 |
transcript.pyannote[536].end |
7056.41346875 |
transcript.pyannote[537].speaker |
SPEAKER_21 |
transcript.pyannote[537].start |
7057.27409375 |
transcript.pyannote[537].end |
7058.03346875 |
transcript.pyannote[538].speaker |
SPEAKER_17 |
transcript.pyannote[538].start |
7059.87284375 |
transcript.pyannote[538].end |
7061.10471875 |
transcript.pyannote[539].speaker |
SPEAKER_17 |
transcript.pyannote[539].start |
7061.76284375 |
transcript.pyannote[539].end |
7066.33596875 |
transcript.pyannote[540].speaker |
SPEAKER_17 |
transcript.pyannote[540].start |
7067.17971875 |
transcript.pyannote[540].end |
7067.56784375 |
transcript.pyannote[541].speaker |
SPEAKER_17 |
transcript.pyannote[541].start |
7067.97284375 |
transcript.pyannote[541].end |
7068.68159375 |
transcript.pyannote[542].speaker |
SPEAKER_17 |
transcript.pyannote[542].start |
7069.30596875 |
transcript.pyannote[542].end |
7069.89659375 |
transcript.pyannote[543].speaker |
SPEAKER_17 |
transcript.pyannote[543].start |
7070.26784375 |
transcript.pyannote[543].end |
7137.05909375 |
transcript.pyannote[544].speaker |
SPEAKER_00 |
transcript.pyannote[544].start |
7111.18971875 |
transcript.pyannote[544].end |
7111.22346875 |
transcript.pyannote[545].speaker |
SPEAKER_17 |
transcript.pyannote[545].start |
7137.68346875 |
transcript.pyannote[545].end |
7148.06159375 |
transcript.pyannote[546].speaker |
SPEAKER_17 |
transcript.pyannote[546].start |
7148.50034375 |
transcript.pyannote[546].end |
7150.39034375 |
transcript.pyannote[547].speaker |
SPEAKER_17 |
transcript.pyannote[547].start |
7151.41971875 |
transcript.pyannote[547].end |
7153.41096875 |
transcript.pyannote[548].speaker |
SPEAKER_21 |
transcript.pyannote[548].start |
7151.67284375 |
transcript.pyannote[548].end |
7153.03971875 |
transcript.pyannote[549].speaker |
SPEAKER_17 |
transcript.pyannote[549].start |
7153.83284375 |
transcript.pyannote[549].end |
7158.47346875 |
transcript.pyannote[550].speaker |
SPEAKER_17 |
transcript.pyannote[550].start |
7158.64221875 |
transcript.pyannote[550].end |
7170.37034375 |
transcript.pyannote[551].speaker |
SPEAKER_21 |
transcript.pyannote[551].start |
7170.37034375 |
transcript.pyannote[551].end |
7170.69096875 |
transcript.pyannote[552].speaker |
SPEAKER_17 |
transcript.pyannote[552].start |
7170.69096875 |
transcript.pyannote[552].end |
7173.45846875 |
transcript.pyannote[553].speaker |
SPEAKER_17 |
transcript.pyannote[553].start |
7173.55971875 |
transcript.pyannote[553].end |
7198.97346875 |
transcript.pyannote[554].speaker |
SPEAKER_17 |
transcript.pyannote[554].start |
7199.37846875 |
transcript.pyannote[554].end |
7220.05034375 |
transcript.pyannote[555].speaker |
SPEAKER_17 |
transcript.pyannote[555].start |
7220.06721875 |
transcript.pyannote[555].end |
7220.13471875 |
transcript.pyannote[556].speaker |
SPEAKER_17 |
transcript.pyannote[556].start |
7220.28659375 |
transcript.pyannote[556].end |
7220.33721875 |
transcript.pyannote[557].speaker |
SPEAKER_13 |
transcript.pyannote[557].start |
7220.33721875 |
transcript.pyannote[557].end |
7242.07221875 |
transcript.pyannote[558].speaker |
SPEAKER_17 |
transcript.pyannote[558].start |
7240.84034375 |
transcript.pyannote[558].end |
7262.27159375 |
transcript.pyannote[559].speaker |
SPEAKER_13 |
transcript.pyannote[559].start |
7260.87096875 |
transcript.pyannote[559].end |
7261.71471875 |
transcript.pyannote[560].speaker |
SPEAKER_17 |
transcript.pyannote[560].start |
7262.35596875 |
transcript.pyannote[560].end |
7265.30909375 |
transcript.pyannote[561].speaker |
SPEAKER_17 |
transcript.pyannote[561].start |
7265.73096875 |
transcript.pyannote[561].end |
7265.74784375 |
transcript.pyannote[562].speaker |
SPEAKER_13 |
transcript.pyannote[562].start |
7265.74784375 |
transcript.pyannote[562].end |
7278.50534375 |
transcript.pyannote[563].speaker |
SPEAKER_17 |
transcript.pyannote[563].start |
7277.81346875 |
transcript.pyannote[563].end |
7287.21284375 |
transcript.pyannote[564].speaker |
SPEAKER_13 |
transcript.pyannote[564].start |
7281.66096875 |
transcript.pyannote[564].end |
7284.73221875 |
transcript.pyannote[565].speaker |
SPEAKER_13 |
transcript.pyannote[565].start |
7285.86284375 |
transcript.pyannote[565].end |
7286.60534375 |
transcript.pyannote[566].speaker |
SPEAKER_13 |
transcript.pyannote[566].start |
7287.49971875 |
transcript.pyannote[566].end |
7315.02284375 |
transcript.pyannote[567].speaker |
SPEAKER_17 |
transcript.pyannote[567].start |
7315.17471875 |
transcript.pyannote[567].end |
7324.67534375 |
transcript.pyannote[568].speaker |
SPEAKER_17 |
transcript.pyannote[568].start |
7324.97909375 |
transcript.pyannote[568].end |
7330.09221875 |
transcript.pyannote[569].speaker |
SPEAKER_17 |
transcript.pyannote[569].start |
7330.42971875 |
transcript.pyannote[569].end |
7331.02034375 |
transcript.pyannote[570].speaker |
SPEAKER_17 |
transcript.pyannote[570].start |
7331.18909375 |
transcript.pyannote[570].end |
7341.97221875 |
transcript.pyannote[571].speaker |
SPEAKER_00 |
transcript.pyannote[571].start |
7335.12096875 |
transcript.pyannote[571].end |
7335.82971875 |
transcript.pyannote[572].speaker |
SPEAKER_17 |
transcript.pyannote[572].start |
7342.14096875 |
transcript.pyannote[572].end |
7356.63659375 |
transcript.pyannote[573].speaker |
SPEAKER_00 |
transcript.pyannote[573].start |
7345.75221875 |
transcript.pyannote[573].end |
7345.76909375 |
transcript.pyannote[574].speaker |
SPEAKER_16 |
transcript.pyannote[574].start |
7345.76909375 |
transcript.pyannote[574].end |
7346.19096875 |
transcript.pyannote[575].speaker |
SPEAKER_00 |
transcript.pyannote[575].start |
7346.19096875 |
transcript.pyannote[575].end |
7346.24159375 |
transcript.pyannote[576].speaker |
SPEAKER_17 |
transcript.pyannote[576].start |
7356.88971875 |
transcript.pyannote[576].end |
7356.92346875 |
transcript.pyannote[577].speaker |
SPEAKER_13 |
transcript.pyannote[577].start |
7356.92346875 |
transcript.pyannote[577].end |
7373.79846875 |
transcript.pyannote[578].speaker |
SPEAKER_17 |
transcript.pyannote[578].start |
7371.97596875 |
transcript.pyannote[578].end |
7379.51909375 |
transcript.pyannote[579].speaker |
SPEAKER_17 |
transcript.pyannote[579].start |
7380.07596875 |
transcript.pyannote[579].end |
7380.97034375 |
transcript.pyannote[580].speaker |
SPEAKER_13 |
transcript.pyannote[580].start |
7380.97034375 |
transcript.pyannote[580].end |
7388.42909375 |
transcript.pyannote[581].speaker |
SPEAKER_17 |
transcript.pyannote[581].start |
7388.15909375 |
transcript.pyannote[581].end |
7402.94159375 |
transcript.pyannote[582].speaker |
SPEAKER_13 |
transcript.pyannote[582].start |
7391.26409375 |
transcript.pyannote[582].end |
7392.32721875 |
transcript.pyannote[583].speaker |
SPEAKER_13 |
transcript.pyannote[583].start |
7403.32971875 |
transcript.pyannote[583].end |
7413.15096875 |
transcript.pyannote[584].speaker |
SPEAKER_17 |
transcript.pyannote[584].start |
7411.76721875 |
transcript.pyannote[584].end |
7462.81409375 |
transcript.pyannote[585].speaker |
SPEAKER_13 |
transcript.pyannote[585].start |
7413.72471875 |
transcript.pyannote[585].end |
7414.33221875 |
transcript.pyannote[586].speaker |
SPEAKER_00 |
transcript.pyannote[586].start |
7440.01596875 |
transcript.pyannote[586].end |
7440.06659375 |
transcript.pyannote[587].speaker |
SPEAKER_21 |
transcript.pyannote[587].start |
7440.06659375 |
transcript.pyannote[587].end |
7440.13409375 |
transcript.pyannote[588].speaker |
SPEAKER_00 |
transcript.pyannote[588].start |
7440.13409375 |
transcript.pyannote[588].end |
7440.31971875 |
transcript.pyannote[589].speaker |
SPEAKER_13 |
transcript.pyannote[589].start |
7462.81409375 |
transcript.pyannote[589].end |
7480.48221875 |
transcript.pyannote[590].speaker |
SPEAKER_17 |
transcript.pyannote[590].start |
7480.21221875 |
transcript.pyannote[590].end |
7488.21096875 |
transcript.pyannote[591].speaker |
SPEAKER_17 |
transcript.pyannote[591].start |
7488.27846875 |
transcript.pyannote[591].end |
7506.95909375 |
transcript.pyannote[592].speaker |
SPEAKER_17 |
transcript.pyannote[592].start |
7507.11096875 |
transcript.pyannote[592].end |
7512.12284375 |
transcript.pyannote[593].speaker |
SPEAKER_17 |
transcript.pyannote[593].start |
7512.74721875 |
transcript.pyannote[593].end |
7514.45159375 |
transcript.pyannote[594].speaker |
SPEAKER_13 |
transcript.pyannote[594].start |
7512.94971875 |
transcript.pyannote[594].end |
7521.31971875 |
transcript.pyannote[595].speaker |
SPEAKER_13 |
transcript.pyannote[595].start |
7522.16346875 |
transcript.pyannote[595].end |
7522.19721875 |
transcript.pyannote[596].speaker |
SPEAKER_17 |
transcript.pyannote[596].start |
7522.19721875 |
transcript.pyannote[596].end |
7523.10846875 |
transcript.pyannote[597].speaker |
SPEAKER_13 |
transcript.pyannote[597].start |
7523.44596875 |
transcript.pyannote[597].end |
7523.47971875 |
transcript.pyannote[598].speaker |
SPEAKER_17 |
transcript.pyannote[598].start |
7523.47971875 |
transcript.pyannote[598].end |
7525.30221875 |
transcript.pyannote[599].speaker |
SPEAKER_17 |
transcript.pyannote[599].start |
7525.74096875 |
transcript.pyannote[599].end |
7536.22034375 |
transcript.pyannote[600].speaker |
SPEAKER_13 |
transcript.pyannote[600].start |
7526.85471875 |
transcript.pyannote[600].end |
7527.20909375 |
transcript.pyannote[601].speaker |
SPEAKER_21 |
transcript.pyannote[601].start |
7535.64659375 |
transcript.pyannote[601].end |
7537.23284375 |
transcript.pyannote[602].speaker |
SPEAKER_17 |
transcript.pyannote[602].start |
7536.79409375 |
transcript.pyannote[602].end |
7541.24909375 |
transcript.pyannote[603].speaker |
SPEAKER_17 |
transcript.pyannote[603].start |
7541.82284375 |
transcript.pyannote[603].end |
7545.53534375 |
transcript.pyannote[604].speaker |
SPEAKER_17 |
transcript.pyannote[604].start |
7545.83909375 |
transcript.pyannote[604].end |
7547.47596875 |
transcript.pyannote[605].speaker |
SPEAKER_17 |
transcript.pyannote[605].start |
7547.96534375 |
transcript.pyannote[605].end |
7551.39096875 |
transcript.pyannote[606].speaker |
SPEAKER_17 |
transcript.pyannote[606].start |
7551.74534375 |
transcript.pyannote[606].end |
7556.80784375 |
transcript.pyannote[607].speaker |
SPEAKER_13 |
transcript.pyannote[607].start |
7556.80784375 |
transcript.pyannote[607].end |
7556.85846875 |
transcript.pyannote[608].speaker |
SPEAKER_17 |
transcript.pyannote[608].start |
7556.85846875 |
transcript.pyannote[608].end |
7556.87534375 |
transcript.pyannote[609].speaker |
SPEAKER_13 |
transcript.pyannote[609].start |
7556.87534375 |
transcript.pyannote[609].end |
7557.12846875 |
transcript.pyannote[610].speaker |
SPEAKER_17 |
transcript.pyannote[610].start |
7557.12846875 |
transcript.pyannote[610].end |
7557.97221875 |
transcript.pyannote[611].speaker |
SPEAKER_13 |
transcript.pyannote[611].start |
7557.97221875 |
transcript.pyannote[611].end |
7586.18721875 |
transcript.pyannote[612].speaker |
SPEAKER_17 |
transcript.pyannote[612].start |
7586.18721875 |
transcript.pyannote[612].end |
7596.22784375 |
transcript.pyannote[613].speaker |
SPEAKER_13 |
transcript.pyannote[613].start |
7596.22784375 |
transcript.pyannote[613].end |
7596.24471875 |
transcript.pyannote[614].speaker |
SPEAKER_17 |
transcript.pyannote[614].start |
7596.24471875 |
transcript.pyannote[614].end |
7596.27846875 |
transcript.pyannote[615].speaker |
SPEAKER_17 |
transcript.pyannote[615].start |
7597.00409375 |
transcript.pyannote[615].end |
7597.08846875 |
transcript.pyannote[616].speaker |
SPEAKER_13 |
transcript.pyannote[616].start |
7597.08846875 |
transcript.pyannote[616].end |
7597.13909375 |
transcript.pyannote[617].speaker |
SPEAKER_17 |
transcript.pyannote[617].start |
7597.13909375 |
transcript.pyannote[617].end |
7597.17284375 |
transcript.pyannote[618].speaker |
SPEAKER_13 |
transcript.pyannote[618].start |
7597.17284375 |
transcript.pyannote[618].end |
7597.29096875 |
transcript.pyannote[619].speaker |
SPEAKER_13 |
transcript.pyannote[619].start |
7597.54409375 |
transcript.pyannote[619].end |
7624.47659375 |
transcript.pyannote[620].speaker |
SPEAKER_17 |
transcript.pyannote[620].start |
7623.32909375 |
transcript.pyannote[620].end |
7628.47596875 |
transcript.pyannote[621].speaker |
SPEAKER_13 |
transcript.pyannote[621].start |
7625.50596875 |
transcript.pyannote[621].end |
7626.88971875 |
transcript.pyannote[622].speaker |
SPEAKER_13 |
transcript.pyannote[622].start |
7627.53096875 |
transcript.pyannote[622].end |
7627.88534375 |
transcript.pyannote[623].speaker |
SPEAKER_13 |
transcript.pyannote[623].start |
7628.59409375 |
transcript.pyannote[623].end |
7638.87096875 |
transcript.pyannote[624].speaker |
SPEAKER_17 |
transcript.pyannote[624].start |
7629.04971875 |
transcript.pyannote[624].end |
7629.74159375 |
transcript.pyannote[625].speaker |
SPEAKER_13 |
transcript.pyannote[625].start |
7638.95534375 |
transcript.pyannote[625].end |
7656.11721875 |
transcript.pyannote[626].speaker |
SPEAKER_17 |
transcript.pyannote[626].start |
7655.32409375 |
transcript.pyannote[626].end |
7660.21784375 |
transcript.pyannote[627].speaker |
SPEAKER_13 |
transcript.pyannote[627].start |
7658.96909375 |
transcript.pyannote[627].end |
7672.16534375 |
transcript.pyannote[628].speaker |
SPEAKER_17 |
transcript.pyannote[628].start |
7664.03159375 |
transcript.pyannote[628].end |
7664.60534375 |
transcript.pyannote[629].speaker |
SPEAKER_17 |
transcript.pyannote[629].start |
7668.06471875 |
transcript.pyannote[629].end |
7668.23346875 |
transcript.pyannote[630].speaker |
SPEAKER_17 |
transcript.pyannote[630].start |
7669.04346875 |
transcript.pyannote[630].end |
7669.63409375 |
transcript.pyannote[631].speaker |
SPEAKER_17 |
transcript.pyannote[631].start |
7670.84909375 |
transcript.pyannote[631].end |
7674.22409375 |
transcript.pyannote[632].speaker |
SPEAKER_17 |
transcript.pyannote[632].start |
7675.00034375 |
transcript.pyannote[632].end |
7691.58846875 |
transcript.pyannote[633].speaker |
SPEAKER_17 |
transcript.pyannote[633].start |
7691.68971875 |
transcript.pyannote[633].end |
7729.57409375 |
transcript.pyannote[634].speaker |
SPEAKER_17 |
transcript.pyannote[634].start |
7729.79346875 |
transcript.pyannote[634].end |
7732.76346875 |
transcript.pyannote[635].speaker |
SPEAKER_17 |
transcript.pyannote[635].start |
7733.40471875 |
transcript.pyannote[635].end |
7783.72596875 |
transcript.pyannote[636].speaker |
SPEAKER_04 |
transcript.pyannote[636].start |
7785.75096875 |
transcript.pyannote[636].end |
7795.23471875 |
transcript.pyannote[637].speaker |
SPEAKER_17 |
transcript.pyannote[637].start |
7794.62721875 |
transcript.pyannote[637].end |
7805.71409375 |
transcript.pyannote[638].speaker |
SPEAKER_04 |
transcript.pyannote[638].start |
7805.84909375 |
transcript.pyannote[638].end |
7832.44409375 |
transcript.pyannote[639].speaker |
SPEAKER_17 |
transcript.pyannote[639].start |
7832.56221875 |
transcript.pyannote[639].end |
7858.02659375 |
transcript.pyannote[640].speaker |
SPEAKER_21 |
transcript.pyannote[640].start |
7856.62596875 |
transcript.pyannote[640].end |
7856.98034375 |
transcript.pyannote[641].speaker |
SPEAKER_06 |
transcript.pyannote[641].start |
7856.98034375 |
transcript.pyannote[641].end |
7856.99721875 |
transcript.pyannote[642].speaker |
SPEAKER_06 |
transcript.pyannote[642].start |
7858.02659375 |
transcript.pyannote[642].end |
7862.54909375 |
transcript.pyannote[643].speaker |
SPEAKER_06 |
transcript.pyannote[643].start |
7862.93721875 |
transcript.pyannote[643].end |
7875.45846875 |
transcript.pyannote[644].speaker |
SPEAKER_28 |
transcript.pyannote[644].start |
7884.58784375 |
transcript.pyannote[644].end |
7886.02221875 |
transcript.pyannote[645].speaker |
SPEAKER_28 |
transcript.pyannote[645].start |
7886.10659375 |
transcript.pyannote[645].end |
7887.37221875 |
transcript.pyannote[646].speaker |
SPEAKER_06 |
transcript.pyannote[646].start |
7887.79409375 |
transcript.pyannote[646].end |
7889.49846875 |
transcript.pyannote[647].speaker |
SPEAKER_28 |
transcript.pyannote[647].start |
7893.22784375 |
transcript.pyannote[647].end |
7897.88534375 |
transcript.pyannote[648].speaker |
SPEAKER_28 |
transcript.pyannote[648].start |
7897.91909375 |
transcript.pyannote[648].end |
7901.09159375 |
transcript.pyannote[649].speaker |
SPEAKER_28 |
transcript.pyannote[649].start |
7901.15909375 |
transcript.pyannote[649].end |
7908.09471875 |
transcript.pyannote[650].speaker |
SPEAKER_28 |
transcript.pyannote[650].start |
7909.36034375 |
transcript.pyannote[650].end |
7909.96784375 |
transcript.pyannote[651].speaker |
SPEAKER_13 |
transcript.pyannote[651].start |
7909.96784375 |
transcript.pyannote[651].end |
7911.46971875 |
transcript.pyannote[652].speaker |
SPEAKER_28 |
transcript.pyannote[652].start |
7911.46971875 |
transcript.pyannote[652].end |
7911.97596875 |
transcript.pyannote[653].speaker |
SPEAKER_13 |
transcript.pyannote[653].start |
7911.97596875 |
transcript.pyannote[653].end |
7912.12784375 |
transcript.pyannote[654].speaker |
SPEAKER_28 |
transcript.pyannote[654].start |
7912.12784375 |
transcript.pyannote[654].end |
7912.14471875 |
transcript.pyannote[655].speaker |
SPEAKER_13 |
transcript.pyannote[655].start |
7912.14471875 |
transcript.pyannote[655].end |
7912.21221875 |
transcript.pyannote[656].speaker |
SPEAKER_28 |
transcript.pyannote[656].start |
7912.21221875 |
transcript.pyannote[656].end |
7919.77221875 |
transcript.pyannote[657].speaker |
SPEAKER_13 |
transcript.pyannote[657].start |
7921.27409375 |
transcript.pyannote[657].end |
7925.88096875 |
transcript.pyannote[658].speaker |
SPEAKER_28 |
transcript.pyannote[658].start |
7924.51409375 |
transcript.pyannote[658].end |
7924.83471875 |
transcript.pyannote[659].speaker |
SPEAKER_28 |
transcript.pyannote[659].start |
7925.79659375 |
transcript.pyannote[659].end |
7930.38659375 |
transcript.pyannote[660].speaker |
SPEAKER_13 |
transcript.pyannote[660].start |
7926.72471875 |
transcript.pyannote[660].end |
7926.82596875 |
transcript.pyannote[661].speaker |
SPEAKER_04 |
transcript.pyannote[661].start |
7931.63534375 |
transcript.pyannote[661].end |
7934.35221875 |
transcript.pyannote[662].speaker |
SPEAKER_04 |
transcript.pyannote[662].start |
7934.41971875 |
transcript.pyannote[662].end |
7935.19596875 |
transcript.pyannote[663].speaker |
SPEAKER_04 |
transcript.pyannote[663].start |
7935.56721875 |
transcript.pyannote[663].end |
7945.70909375 |
transcript.pyannote[664].speaker |
SPEAKER_28 |
transcript.pyannote[664].start |
7946.16471875 |
transcript.pyannote[664].end |
7948.88159375 |
transcript.pyannote[665].speaker |
SPEAKER_04 |
transcript.pyannote[665].start |
7949.79284375 |
transcript.pyannote[665].end |
7967.44409375 |
transcript.pyannote[666].speaker |
SPEAKER_00 |
transcript.pyannote[666].start |
7957.75784375 |
transcript.pyannote[666].end |
7957.87596875 |
transcript.pyannote[667].speaker |
SPEAKER_21 |
transcript.pyannote[667].start |
7957.89284375 |
transcript.pyannote[667].end |
7957.96034375 |
transcript.pyannote[668].speaker |
SPEAKER_28 |
transcript.pyannote[668].start |
7967.68034375 |
transcript.pyannote[668].end |
8018.87909375 |
transcript.pyannote[669].speaker |
SPEAKER_13 |
transcript.pyannote[669].start |
8020.31346875 |
transcript.pyannote[669].end |
8025.84846875 |
transcript.pyannote[670].speaker |
SPEAKER_28 |
transcript.pyannote[670].start |
8025.84846875 |
transcript.pyannote[670].end |
8025.88221875 |
transcript.pyannote[671].speaker |
SPEAKER_13 |
transcript.pyannote[671].start |
8025.88221875 |
transcript.pyannote[671].end |
8025.89909375 |
transcript.pyannote[672].speaker |
SPEAKER_28 |
transcript.pyannote[672].start |
8025.89909375 |
transcript.pyannote[672].end |
8029.93221875 |
transcript.pyannote[673].speaker |
SPEAKER_13 |
transcript.pyannote[673].start |
8032.24409375 |
transcript.pyannote[673].end |
8032.36221875 |
transcript.pyannote[674].speaker |
SPEAKER_13 |
transcript.pyannote[674].start |
8032.81784375 |
transcript.pyannote[674].end |
8039.55096875 |
transcript.pyannote[675].speaker |
SPEAKER_13 |
transcript.pyannote[675].start |
8039.92221875 |
transcript.pyannote[675].end |
8039.93909375 |
transcript.pyannote[676].speaker |
SPEAKER_28 |
transcript.pyannote[676].start |
8039.93909375 |
transcript.pyannote[676].end |
8052.05534375 |
transcript.pyannote[677].speaker |
SPEAKER_13 |
transcript.pyannote[677].start |
8051.49846875 |
transcript.pyannote[677].end |
8065.65659375 |
transcript.pyannote[678].speaker |
SPEAKER_28 |
transcript.pyannote[678].start |
8065.65659375 |
transcript.pyannote[678].end |
8067.63096875 |
transcript.pyannote[679].speaker |
SPEAKER_13 |
transcript.pyannote[679].start |
8065.67346875 |
transcript.pyannote[679].end |
8065.74096875 |
transcript.pyannote[680].speaker |
SPEAKER_13 |
transcript.pyannote[680].start |
8065.87596875 |
transcript.pyannote[680].end |
8066.24721875 |
transcript.pyannote[681].speaker |
SPEAKER_13 |
transcript.pyannote[681].start |
8068.57596875 |
transcript.pyannote[681].end |
8069.20034375 |
transcript.pyannote[682].speaker |
SPEAKER_28 |
transcript.pyannote[682].start |
8069.50409375 |
transcript.pyannote[682].end |
8162.06346875 |
transcript.pyannote[683].speaker |
SPEAKER_27 |
transcript.pyannote[683].start |
8162.75534375 |
transcript.pyannote[683].end |
8172.77909375 |
transcript.pyannote[684].speaker |
SPEAKER_28 |
transcript.pyannote[684].start |
8172.84659375 |
transcript.pyannote[684].end |
8223.42096875 |
transcript.pyannote[685].speaker |
SPEAKER_28 |
transcript.pyannote[685].start |
8223.79221875 |
transcript.pyannote[685].end |
8248.58159375 |
transcript.pyannote[686].speaker |
SPEAKER_13 |
transcript.pyannote[686].start |
8249.86409375 |
transcript.pyannote[686].end |
8255.02784375 |
transcript.pyannote[687].speaker |
SPEAKER_28 |
transcript.pyannote[687].start |
8255.02784375 |
transcript.pyannote[687].end |
8303.25659375 |
transcript.pyannote[688].speaker |
SPEAKER_28 |
transcript.pyannote[688].start |
8303.69534375 |
transcript.pyannote[688].end |
8304.37034375 |
transcript.pyannote[689].speaker |
SPEAKER_13 |
transcript.pyannote[689].start |
8305.39971875 |
transcript.pyannote[689].end |
8306.83409375 |
transcript.pyannote[690].speaker |
SPEAKER_28 |
transcript.pyannote[690].start |
8306.83409375 |
transcript.pyannote[690].end |
8307.27284375 |
transcript.pyannote[691].speaker |
SPEAKER_06 |
transcript.pyannote[691].start |
8308.45409375 |
transcript.pyannote[691].end |
8314.34346875 |
transcript.pyannote[692].speaker |
SPEAKER_14 |
transcript.pyannote[692].start |
8319.50721875 |
transcript.pyannote[692].end |
8322.17346875 |
transcript.pyannote[693].speaker |
SPEAKER_14 |
transcript.pyannote[693].start |
8322.37596875 |
transcript.pyannote[693].end |
8323.67534375 |
transcript.pyannote[694].speaker |
SPEAKER_14 |
transcript.pyannote[694].start |
8327.96159375 |
transcript.pyannote[694].end |
8396.01846875 |
transcript.pyannote[695].speaker |
SPEAKER_14 |
transcript.pyannote[695].start |
8396.65971875 |
transcript.pyannote[695].end |
8404.38846875 |
transcript.pyannote[696].speaker |
SPEAKER_14 |
transcript.pyannote[696].start |
8404.55721875 |
transcript.pyannote[696].end |
8417.02784375 |
transcript.pyannote[697].speaker |
SPEAKER_14 |
transcript.pyannote[697].start |
8417.55096875 |
transcript.pyannote[697].end |
8417.98971875 |
transcript.pyannote[698].speaker |
SPEAKER_14 |
transcript.pyannote[698].start |
8418.31034375 |
transcript.pyannote[698].end |
8419.99784375 |
transcript.pyannote[699].speaker |
SPEAKER_04 |
transcript.pyannote[699].start |
8420.16659375 |
transcript.pyannote[699].end |
8422.25909375 |
transcript.pyannote[700].speaker |
SPEAKER_04 |
transcript.pyannote[700].start |
8422.34346875 |
transcript.pyannote[700].end |
8437.53096875 |
transcript.pyannote[701].speaker |
SPEAKER_04 |
transcript.pyannote[701].start |
8437.64909375 |
transcript.pyannote[701].end |
8448.98909375 |
transcript.pyannote[702].speaker |
SPEAKER_04 |
transcript.pyannote[702].start |
8449.34346875 |
transcript.pyannote[702].end |
8485.96221875 |
transcript.pyannote[703].speaker |
SPEAKER_04 |
transcript.pyannote[703].start |
8487.00846875 |
transcript.pyannote[703].end |
8494.97346875 |
transcript.pyannote[704].speaker |
SPEAKER_14 |
transcript.pyannote[704].start |
8494.53471875 |
transcript.pyannote[704].end |
8496.35721875 |
transcript.pyannote[705].speaker |
SPEAKER_14 |
transcript.pyannote[705].start |
8497.18409375 |
transcript.pyannote[705].end |
8503.73159375 |
transcript.pyannote[706].speaker |
SPEAKER_14 |
transcript.pyannote[706].start |
8504.10284375 |
transcript.pyannote[706].end |
8535.45659375 |
transcript.pyannote[707].speaker |
SPEAKER_14 |
transcript.pyannote[707].start |
8535.89534375 |
transcript.pyannote[707].end |
8556.26346875 |
transcript.pyannote[708].speaker |
SPEAKER_14 |
transcript.pyannote[708].start |
8556.78659375 |
transcript.pyannote[708].end |
8564.73471875 |
transcript.pyannote[709].speaker |
SPEAKER_14 |
transcript.pyannote[709].start |
8565.49409375 |
transcript.pyannote[709].end |
8567.48534375 |
transcript.pyannote[710].speaker |
SPEAKER_14 |
transcript.pyannote[710].start |
8567.90721875 |
transcript.pyannote[710].end |
8574.72471875 |
transcript.pyannote[711].speaker |
SPEAKER_14 |
transcript.pyannote[711].start |
8575.29846875 |
transcript.pyannote[711].end |
8576.39534375 |
transcript.pyannote[712].speaker |
SPEAKER_13 |
transcript.pyannote[712].start |
8577.71159375 |
transcript.pyannote[712].end |
8633.55096875 |
transcript.pyannote[713].speaker |
SPEAKER_14 |
transcript.pyannote[713].start |
8632.08284375 |
transcript.pyannote[713].end |
8643.13596875 |
transcript.pyannote[714].speaker |
SPEAKER_14 |
transcript.pyannote[714].start |
8643.65909375 |
transcript.pyannote[714].end |
8682.87659375 |
transcript.pyannote[715].speaker |
SPEAKER_14 |
transcript.pyannote[715].start |
8683.68659375 |
transcript.pyannote[715].end |
8684.36159375 |
transcript.pyannote[716].speaker |
SPEAKER_14 |
transcript.pyannote[716].start |
8684.71596875 |
transcript.pyannote[716].end |
8686.01534375 |
transcript.pyannote[717].speaker |
SPEAKER_04 |
transcript.pyannote[717].start |
8687.85471875 |
transcript.pyannote[717].end |
8688.07409375 |
transcript.pyannote[718].speaker |
SPEAKER_04 |
transcript.pyannote[718].start |
8688.36096875 |
transcript.pyannote[718].end |
8740.82534375 |
transcript.pyannote[719].speaker |
SPEAKER_14 |
transcript.pyannote[719].start |
8740.99409375 |
transcript.pyannote[719].end |
8746.95096875 |
transcript.pyannote[720].speaker |
SPEAKER_14 |
transcript.pyannote[720].start |
8747.81159375 |
transcript.pyannote[720].end |
8765.74971875 |
transcript.pyannote[721].speaker |
SPEAKER_13 |
transcript.pyannote[721].start |
8766.22221875 |
transcript.pyannote[721].end |
8766.72846875 |
transcript.pyannote[722].speaker |
SPEAKER_06 |
transcript.pyannote[722].start |
8767.42034375 |
transcript.pyannote[722].end |
8777.49471875 |
transcript.pyannote[723].speaker |
SPEAKER_22 |
transcript.pyannote[723].start |
8782.13534375 |
transcript.pyannote[723].end |
8784.51471875 |
transcript.pyannote[724].speaker |
SPEAKER_06 |
transcript.pyannote[724].start |
8785.03784375 |
transcript.pyannote[724].end |
8786.13471875 |
transcript.pyannote[725].speaker |
SPEAKER_22 |
transcript.pyannote[725].start |
8785.12221875 |
transcript.pyannote[725].end |
8786.60721875 |
transcript.pyannote[726].speaker |
SPEAKER_22 |
transcript.pyannote[726].start |
8787.28221875 |
transcript.pyannote[726].end |
8788.14284375 |
transcript.pyannote[727].speaker |
SPEAKER_22 |
transcript.pyannote[727].start |
8791.78784375 |
transcript.pyannote[727].end |
8793.98159375 |
transcript.pyannote[728].speaker |
SPEAKER_22 |
transcript.pyannote[728].start |
8795.07846875 |
transcript.pyannote[728].end |
8797.28909375 |
transcript.pyannote[729].speaker |
SPEAKER_22 |
transcript.pyannote[729].start |
8798.47034375 |
transcript.pyannote[729].end |
8799.75284375 |
transcript.pyannote[730].speaker |
SPEAKER_22 |
transcript.pyannote[730].start |
8800.73159375 |
transcript.pyannote[730].end |
8804.00534375 |
transcript.pyannote[731].speaker |
SPEAKER_22 |
transcript.pyannote[731].start |
8804.52846875 |
transcript.pyannote[731].end |
8806.30034375 |
transcript.pyannote[732].speaker |
SPEAKER_22 |
transcript.pyannote[732].start |
8806.94159375 |
transcript.pyannote[732].end |
8808.47721875 |
transcript.pyannote[733].speaker |
SPEAKER_22 |
transcript.pyannote[733].start |
8809.35471875 |
transcript.pyannote[733].end |
8811.59909375 |
transcript.pyannote[734].speaker |
SPEAKER_22 |
transcript.pyannote[734].start |
8812.67909375 |
transcript.pyannote[734].end |
8814.46784375 |
transcript.pyannote[735].speaker |
SPEAKER_22 |
transcript.pyannote[735].start |
8815.27784375 |
transcript.pyannote[735].end |
8816.30721875 |
transcript.pyannote[736].speaker |
SPEAKER_22 |
transcript.pyannote[736].start |
8817.62346875 |
transcript.pyannote[736].end |
8818.82159375 |
transcript.pyannote[737].speaker |
SPEAKER_22 |
transcript.pyannote[737].start |
8819.61471875 |
transcript.pyannote[737].end |
8821.04909375 |
transcript.pyannote[738].speaker |
SPEAKER_22 |
transcript.pyannote[738].start |
8821.90971875 |
transcript.pyannote[738].end |
8824.64346875 |
transcript.pyannote[739].speaker |
SPEAKER_13 |
transcript.pyannote[739].start |
8825.75721875 |
transcript.pyannote[739].end |
8830.07721875 |
transcript.pyannote[740].speaker |
SPEAKER_22 |
transcript.pyannote[740].start |
8828.69346875 |
transcript.pyannote[740].end |
8830.06034375 |
transcript.pyannote[741].speaker |
SPEAKER_22 |
transcript.pyannote[741].start |
8830.07721875 |
transcript.pyannote[741].end |
8830.09409375 |
transcript.pyannote[742].speaker |
SPEAKER_13 |
transcript.pyannote[742].start |
8830.09409375 |
transcript.pyannote[742].end |
8832.43971875 |
transcript.pyannote[743].speaker |
SPEAKER_22 |
transcript.pyannote[743].start |
8831.14034375 |
transcript.pyannote[743].end |
8835.19034375 |
transcript.pyannote[744].speaker |
SPEAKER_22 |
transcript.pyannote[744].start |
8836.25346875 |
transcript.pyannote[744].end |
8839.76346875 |
transcript.pyannote[745].speaker |
SPEAKER_22 |
transcript.pyannote[745].start |
8840.48909375 |
transcript.pyannote[745].end |
8842.10909375 |
transcript.pyannote[746].speaker |
SPEAKER_22 |
transcript.pyannote[746].start |
8842.85159375 |
transcript.pyannote[746].end |
8844.89346875 |
transcript.pyannote[747].speaker |
SPEAKER_22 |
transcript.pyannote[747].start |
8846.14221875 |
transcript.pyannote[747].end |
8848.89284375 |
transcript.pyannote[748].speaker |
SPEAKER_22 |
transcript.pyannote[748].start |
8849.63534375 |
transcript.pyannote[748].end |
8851.86284375 |
transcript.pyannote[749].speaker |
SPEAKER_22 |
transcript.pyannote[749].start |
8852.75721875 |
transcript.pyannote[749].end |
8855.47409375 |
transcript.pyannote[750].speaker |
SPEAKER_22 |
transcript.pyannote[750].start |
8855.94659375 |
transcript.pyannote[750].end |
8858.27534375 |
transcript.pyannote[751].speaker |
SPEAKER_22 |
transcript.pyannote[751].start |
8858.95034375 |
transcript.pyannote[751].end |
8861.54909375 |
transcript.pyannote[752].speaker |
SPEAKER_22 |
transcript.pyannote[752].start |
8862.44346875 |
transcript.pyannote[752].end |
8863.57409375 |
transcript.pyannote[753].speaker |
SPEAKER_22 |
transcript.pyannote[753].start |
8864.26596875 |
transcript.pyannote[753].end |
8866.20659375 |
transcript.pyannote[754].speaker |
SPEAKER_22 |
transcript.pyannote[754].start |
8867.53971875 |
transcript.pyannote[754].end |
8868.36659375 |
transcript.pyannote[755].speaker |
SPEAKER_22 |
transcript.pyannote[755].start |
8869.27784375 |
transcript.pyannote[755].end |
8869.93596875 |
transcript.pyannote[756].speaker |
SPEAKER_22 |
transcript.pyannote[756].start |
8870.72909375 |
transcript.pyannote[756].end |
8873.20971875 |
transcript.pyannote[757].speaker |
SPEAKER_13 |
transcript.pyannote[757].start |
8874.72846875 |
transcript.pyannote[757].end |
8884.22909375 |
transcript.pyannote[758].speaker |
SPEAKER_22 |
transcript.pyannote[758].start |
8883.26721875 |
transcript.pyannote[758].end |
8885.12346875 |
transcript.pyannote[759].speaker |
SPEAKER_13 |
transcript.pyannote[759].start |
8884.48221875 |
transcript.pyannote[759].end |
8885.08971875 |
transcript.pyannote[760].speaker |
SPEAKER_13 |
transcript.pyannote[760].start |
8885.12346875 |
transcript.pyannote[760].end |
8885.27534375 |
transcript.pyannote[761].speaker |
SPEAKER_13 |
transcript.pyannote[761].start |
8885.54534375 |
transcript.pyannote[761].end |
8889.27471875 |
transcript.pyannote[762].speaker |
SPEAKER_22 |
transcript.pyannote[762].start |
8888.68409375 |
transcript.pyannote[762].end |
8888.71784375 |
transcript.pyannote[763].speaker |
SPEAKER_13 |
transcript.pyannote[763].start |
8889.83159375 |
transcript.pyannote[763].end |
8892.68346875 |
transcript.pyannote[764].speaker |
SPEAKER_22 |
transcript.pyannote[764].start |
8890.86096875 |
transcript.pyannote[764].end |
8894.03346875 |
transcript.pyannote[765].speaker |
SPEAKER_22 |
transcript.pyannote[765].start |
8895.31596875 |
transcript.pyannote[765].end |
8895.33284375 |
transcript.pyannote[766].speaker |
SPEAKER_13 |
transcript.pyannote[766].start |
8895.33284375 |
transcript.pyannote[766].end |
8895.34971875 |
transcript.pyannote[767].speaker |
SPEAKER_22 |
transcript.pyannote[767].start |
8895.34971875 |
transcript.pyannote[767].end |
8900.71596875 |
transcript.pyannote[768].speaker |
SPEAKER_13 |
transcript.pyannote[768].start |
8897.35784375 |
transcript.pyannote[768].end |
8897.44221875 |
transcript.pyannote[769].speaker |
SPEAKER_13 |
transcript.pyannote[769].start |
8897.47596875 |
transcript.pyannote[769].end |
8897.50971875 |
transcript.pyannote[770].speaker |
SPEAKER_22 |
transcript.pyannote[770].start |
8901.25596875 |
transcript.pyannote[770].end |
8903.65221875 |
transcript.pyannote[771].speaker |
SPEAKER_22 |
transcript.pyannote[771].start |
8904.31034375 |
transcript.pyannote[771].end |
8906.68971875 |
transcript.pyannote[772].speaker |
SPEAKER_05 |
transcript.pyannote[772].start |
8906.68971875 |
transcript.pyannote[772].end |
8906.95971875 |
transcript.pyannote[773].speaker |
SPEAKER_05 |
transcript.pyannote[773].start |
8907.12846875 |
transcript.pyannote[773].end |
8946.46409375 |
transcript.pyannote[774].speaker |
SPEAKER_22 |
transcript.pyannote[774].start |
8945.04659375 |
transcript.pyannote[774].end |
8947.54409375 |
transcript.pyannote[775].speaker |
SPEAKER_05 |
transcript.pyannote[775].start |
8947.54409375 |
transcript.pyannote[775].end |
8947.72971875 |
transcript.pyannote[776].speaker |
SPEAKER_05 |
transcript.pyannote[776].start |
8948.91096875 |
transcript.pyannote[776].end |
8949.02909375 |
transcript.pyannote[777].speaker |
SPEAKER_22 |
transcript.pyannote[777].start |
8949.02909375 |
transcript.pyannote[777].end |
8952.06659375 |
transcript.pyannote[778].speaker |
SPEAKER_05 |
transcript.pyannote[778].start |
8949.19784375 |
transcript.pyannote[778].end |
8949.41721875 |
transcript.pyannote[779].speaker |
SPEAKER_05 |
transcript.pyannote[779].start |
8952.06659375 |
transcript.pyannote[779].end |
8953.43346875 |
transcript.pyannote[780].speaker |
SPEAKER_22 |
transcript.pyannote[780].start |
8952.11721875 |
transcript.pyannote[780].end |
8952.13409375 |
transcript.pyannote[781].speaker |
SPEAKER_22 |
transcript.pyannote[781].start |
8952.50534375 |
transcript.pyannote[781].end |
8954.96909375 |
transcript.pyannote[782].speaker |
SPEAKER_05 |
transcript.pyannote[782].start |
8953.97346875 |
transcript.pyannote[782].end |
8954.02409375 |
transcript.pyannote[783].speaker |
SPEAKER_05 |
transcript.pyannote[783].start |
8954.24346875 |
transcript.pyannote[783].end |
8954.26034375 |
transcript.pyannote[784].speaker |
SPEAKER_05 |
transcript.pyannote[784].start |
8954.32784375 |
transcript.pyannote[784].end |
8954.53034375 |
transcript.pyannote[785].speaker |
SPEAKER_05 |
transcript.pyannote[785].start |
8954.96909375 |
transcript.pyannote[785].end |
8978.20596875 |
transcript.pyannote[786].speaker |
SPEAKER_22 |
transcript.pyannote[786].start |
8955.13784375 |
transcript.pyannote[786].end |
8955.47534375 |
transcript.pyannote[787].speaker |
SPEAKER_22 |
transcript.pyannote[787].start |
8978.35784375 |
transcript.pyannote[787].end |
8978.37471875 |
transcript.pyannote[788].speaker |
SPEAKER_05 |
transcript.pyannote[788].start |
8978.37471875 |
transcript.pyannote[788].end |
8978.39159375 |
transcript.pyannote[789].speaker |
SPEAKER_22 |
transcript.pyannote[789].start |
8978.39159375 |
transcript.pyannote[789].end |
8978.40846875 |
transcript.pyannote[790].speaker |
SPEAKER_05 |
transcript.pyannote[790].start |
8978.40846875 |
transcript.pyannote[790].end |
8979.06659375 |
transcript.pyannote[791].speaker |
SPEAKER_22 |
transcript.pyannote[791].start |
8978.44221875 |
transcript.pyannote[791].end |
8980.56846875 |
transcript.pyannote[792].speaker |
SPEAKER_22 |
transcript.pyannote[792].start |
8981.22659375 |
transcript.pyannote[792].end |
8982.59346875 |
transcript.pyannote[793].speaker |
SPEAKER_22 |
transcript.pyannote[793].start |
8983.63971875 |
transcript.pyannote[793].end |
8984.31471875 |
transcript.pyannote[794].speaker |
SPEAKER_22 |
transcript.pyannote[794].start |
8984.58471875 |
transcript.pyannote[794].end |
8985.19221875 |
transcript.pyannote[795].speaker |
SPEAKER_22 |
transcript.pyannote[795].start |
8985.69846875 |
transcript.pyannote[795].end |
8986.86284375 |
transcript.pyannote[796].speaker |
SPEAKER_22 |
transcript.pyannote[796].start |
8987.40284375 |
transcript.pyannote[796].end |
8988.98909375 |
transcript.pyannote[797].speaker |
SPEAKER_22 |
transcript.pyannote[797].start |
8989.30971875 |
transcript.pyannote[797].end |
8989.64721875 |
transcript.pyannote[798].speaker |
SPEAKER_22 |
transcript.pyannote[798].start |
8989.83284375 |
transcript.pyannote[798].end |
8990.67659375 |
transcript.pyannote[799].speaker |
SPEAKER_22 |
transcript.pyannote[799].start |
8991.41909375 |
transcript.pyannote[799].end |
8991.84096875 |
transcript.pyannote[800].speaker |
SPEAKER_22 |
transcript.pyannote[800].start |
8991.97596875 |
transcript.pyannote[800].end |
8995.06409375 |
transcript.pyannote[801].speaker |
SPEAKER_22 |
transcript.pyannote[801].start |
8995.72221875 |
transcript.pyannote[801].end |
8996.63346875 |
transcript.pyannote[802].speaker |
SPEAKER_22 |
transcript.pyannote[802].start |
8997.83159375 |
transcript.pyannote[802].end |
8999.68784375 |
transcript.pyannote[803].speaker |
SPEAKER_22 |
transcript.pyannote[803].start |
9000.34596875 |
transcript.pyannote[803].end |
9003.61971875 |
transcript.pyannote[804].speaker |
SPEAKER_22 |
transcript.pyannote[804].start |
9004.27784375 |
transcript.pyannote[804].end |
9005.37471875 |
transcript.pyannote[805].speaker |
SPEAKER_22 |
transcript.pyannote[805].start |
9005.98221875 |
transcript.pyannote[805].end |
9009.98159375 |
transcript.pyannote[806].speaker |
SPEAKER_22 |
transcript.pyannote[806].start |
9010.40346875 |
transcript.pyannote[806].end |
9011.90534375 |
transcript.pyannote[807].speaker |
SPEAKER_22 |
transcript.pyannote[807].start |
9012.69846875 |
transcript.pyannote[807].end |
9015.26346875 |
transcript.pyannote[808].speaker |
SPEAKER_22 |
transcript.pyannote[808].start |
9016.09034375 |
transcript.pyannote[808].end |
9017.37284375 |
transcript.pyannote[809].speaker |
SPEAKER_22 |
transcript.pyannote[809].start |
9018.50346875 |
transcript.pyannote[809].end |
9021.70971875 |
transcript.pyannote[810].speaker |
SPEAKER_13 |
transcript.pyannote[810].start |
9023.65034375 |
transcript.pyannote[810].end |
9044.96346875 |
transcript.pyannote[811].speaker |
SPEAKER_22 |
transcript.pyannote[811].start |
9039.42846875 |
transcript.pyannote[811].end |
9040.42409375 |
transcript.pyannote[812].speaker |
SPEAKER_22 |
transcript.pyannote[812].start |
9041.03159375 |
transcript.pyannote[812].end |
9048.82784375 |
transcript.pyannote[813].speaker |
SPEAKER_13 |
transcript.pyannote[813].start |
9048.57471875 |
transcript.pyannote[813].end |
9064.16721875 |
transcript.pyannote[814].speaker |
SPEAKER_22 |
transcript.pyannote[814].start |
9049.68846875 |
transcript.pyannote[814].end |
9050.36346875 |
transcript.pyannote[815].speaker |
SPEAKER_22 |
transcript.pyannote[815].start |
9061.21409375 |
transcript.pyannote[815].end |
9067.40721875 |
transcript.pyannote[816].speaker |
SPEAKER_13 |
transcript.pyannote[816].start |
9065.78721875 |
transcript.pyannote[816].end |
9076.48596875 |
transcript.pyannote[817].speaker |
SPEAKER_22 |
transcript.pyannote[817].start |
9071.77784375 |
transcript.pyannote[817].end |
9073.51596875 |
transcript.pyannote[818].speaker |
SPEAKER_22 |
transcript.pyannote[818].start |
9075.03471875 |
transcript.pyannote[818].end |
9082.72971875 |
transcript.pyannote[819].speaker |
SPEAKER_22 |
transcript.pyannote[819].start |
9083.25284375 |
transcript.pyannote[819].end |
9086.39159375 |
transcript.pyannote[820].speaker |
SPEAKER_22 |
transcript.pyannote[820].start |
9086.71221875 |
transcript.pyannote[820].end |
9087.72471875 |
transcript.pyannote[821].speaker |
SPEAKER_13 |
transcript.pyannote[821].start |
9086.84721875 |
transcript.pyannote[821].end |
9087.67409375 |
transcript.pyannote[822].speaker |
SPEAKER_13 |
transcript.pyannote[822].start |
9088.04534375 |
transcript.pyannote[822].end |
9102.49034375 |
transcript.pyannote[823].speaker |
SPEAKER_22 |
transcript.pyannote[823].start |
9100.43159375 |
transcript.pyannote[823].end |
9106.99596875 |
transcript.pyannote[824].speaker |
SPEAKER_13 |
transcript.pyannote[824].start |
9102.99659375 |
transcript.pyannote[824].end |
9108.49784375 |
transcript.pyannote[825].speaker |
SPEAKER_22 |
transcript.pyannote[825].start |
9108.37971875 |
transcript.pyannote[825].end |
9111.19784375 |
transcript.pyannote[826].speaker |
SPEAKER_22 |
transcript.pyannote[826].start |
9112.10909375 |
transcript.pyannote[826].end |
9113.62784375 |
transcript.pyannote[827].speaker |
SPEAKER_22 |
transcript.pyannote[827].start |
9114.31971875 |
transcript.pyannote[827].end |
9116.71596875 |
transcript.pyannote[828].speaker |
SPEAKER_22 |
transcript.pyannote[828].start |
9117.27284375 |
transcript.pyannote[828].end |
9117.98159375 |
transcript.pyannote[829].speaker |
SPEAKER_22 |
transcript.pyannote[829].start |
9118.48784375 |
transcript.pyannote[829].end |
9120.66471875 |
transcript.pyannote[830].speaker |
SPEAKER_22 |
transcript.pyannote[830].start |
9121.28909375 |
transcript.pyannote[830].end |
9122.87534375 |
transcript.pyannote[831].speaker |
SPEAKER_22 |
transcript.pyannote[831].start |
9123.31409375 |
transcript.pyannote[831].end |
9125.22096875 |
transcript.pyannote[832].speaker |
SPEAKER_22 |
transcript.pyannote[832].start |
9125.96346875 |
transcript.pyannote[832].end |
9128.39346875 |
transcript.pyannote[833].speaker |
SPEAKER_22 |
transcript.pyannote[833].start |
9128.54534375 |
transcript.pyannote[833].end |
9133.97909375 |
transcript.pyannote[834].speaker |
SPEAKER_22 |
transcript.pyannote[834].start |
9134.87346875 |
transcript.pyannote[834].end |
9137.50596875 |
transcript.pyannote[835].speaker |
SPEAKER_21 |
transcript.pyannote[835].start |
9138.06284375 |
transcript.pyannote[835].end |
9138.19784375 |
transcript.pyannote[836].speaker |
SPEAKER_22 |
transcript.pyannote[836].start |
9138.33284375 |
transcript.pyannote[836].end |
9141.35346875 |
transcript.pyannote[837].speaker |
SPEAKER_21 |
transcript.pyannote[837].start |
9138.73784375 |
transcript.pyannote[837].end |
9139.09221875 |
transcript.pyannote[838].speaker |
SPEAKER_22 |
transcript.pyannote[838].start |
9141.58971875 |
transcript.pyannote[838].end |
9144.98159375 |
transcript.pyannote[839].speaker |
SPEAKER_22 |
transcript.pyannote[839].start |
9145.58909375 |
transcript.pyannote[839].end |
9146.34846875 |
transcript.pyannote[840].speaker |
SPEAKER_22 |
transcript.pyannote[840].start |
9146.90534375 |
transcript.pyannote[840].end |
9149.21721875 |
transcript.pyannote[841].speaker |
SPEAKER_13 |
transcript.pyannote[841].start |
9148.94721875 |
transcript.pyannote[841].end |
9172.25159375 |
transcript.pyannote[842].speaker |
SPEAKER_22 |
transcript.pyannote[842].start |
9167.17221875 |
transcript.pyannote[842].end |
9168.38721875 |
transcript.pyannote[843].speaker |
SPEAKER_22 |
transcript.pyannote[843].start |
9169.21409375 |
transcript.pyannote[843].end |
9172.45409375 |
transcript.pyannote[844].speaker |
SPEAKER_22 |
transcript.pyannote[844].start |
9172.97721875 |
transcript.pyannote[844].end |
9175.18784375 |
transcript.pyannote[845].speaker |
SPEAKER_22 |
transcript.pyannote[845].start |
9175.71096875 |
transcript.pyannote[845].end |
9180.97596875 |
transcript.pyannote[846].speaker |
SPEAKER_13 |
transcript.pyannote[846].start |
9176.23409375 |
transcript.pyannote[846].end |
9178.30971875 |
transcript.pyannote[847].speaker |
SPEAKER_22 |
transcript.pyannote[847].start |
9181.66784375 |
transcript.pyannote[847].end |
9182.00534375 |
transcript.pyannote[848].speaker |
SPEAKER_22 |
transcript.pyannote[848].start |
9182.57909375 |
transcript.pyannote[848].end |
9186.25784375 |
transcript.pyannote[849].speaker |
SPEAKER_22 |
transcript.pyannote[849].start |
9186.71346875 |
transcript.pyannote[849].end |
9189.54846875 |
transcript.pyannote[850].speaker |
SPEAKER_22 |
transcript.pyannote[850].start |
9189.88596875 |
transcript.pyannote[850].end |
9191.84346875 |
transcript.pyannote[851].speaker |
SPEAKER_22 |
transcript.pyannote[851].start |
9192.09659375 |
transcript.pyannote[851].end |
9194.07096875 |
transcript.pyannote[852].speaker |
SPEAKER_22 |
transcript.pyannote[852].start |
9194.44221875 |
transcript.pyannote[852].end |
9195.40409375 |
transcript.pyannote[853].speaker |
SPEAKER_22 |
transcript.pyannote[853].start |
9195.97784375 |
transcript.pyannote[853].end |
9196.45034375 |
transcript.pyannote[854].speaker |
SPEAKER_22 |
transcript.pyannote[854].start |
9196.80471875 |
transcript.pyannote[854].end |
9198.35721875 |
transcript.pyannote[855].speaker |
SPEAKER_22 |
transcript.pyannote[855].start |
9198.79596875 |
transcript.pyannote[855].end |
9201.78284375 |
transcript.pyannote[856].speaker |
SPEAKER_22 |
transcript.pyannote[856].start |
9202.66034375 |
transcript.pyannote[856].end |
9207.25034375 |
transcript.pyannote[857].speaker |
SPEAKER_22 |
transcript.pyannote[857].start |
9207.80721875 |
transcript.pyannote[857].end |
9209.22471875 |
transcript.pyannote[858].speaker |
SPEAKER_22 |
transcript.pyannote[858].start |
9209.52846875 |
transcript.pyannote[858].end |
9212.76846875 |
transcript.pyannote[859].speaker |
SPEAKER_22 |
transcript.pyannote[859].start |
9215.19846875 |
transcript.pyannote[859].end |
9216.27846875 |
transcript.pyannote[860].speaker |
SPEAKER_22 |
transcript.pyannote[860].start |
9216.66659375 |
transcript.pyannote[860].end |
9218.06721875 |
transcript.pyannote[861].speaker |
SPEAKER_22 |
transcript.pyannote[861].start |
9218.89409375 |
transcript.pyannote[861].end |
9221.89784375 |
transcript.pyannote[862].speaker |
SPEAKER_22 |
transcript.pyannote[862].start |
9222.40409375 |
transcript.pyannote[862].end |
9224.29409375 |
transcript.pyannote[863].speaker |
SPEAKER_13 |
transcript.pyannote[863].start |
9224.29409375 |
transcript.pyannote[863].end |
9224.49659375 |
transcript.pyannote[864].speaker |
SPEAKER_22 |
transcript.pyannote[864].start |
9224.49659375 |
transcript.pyannote[864].end |
9228.29346875 |
transcript.pyannote[865].speaker |
SPEAKER_13 |
transcript.pyannote[865].start |
9226.16721875 |
transcript.pyannote[865].end |
9234.79034375 |
transcript.pyannote[866].speaker |
SPEAKER_22 |
transcript.pyannote[866].start |
9233.37284375 |
transcript.pyannote[866].end |
9243.26159375 |
transcript.pyannote[867].speaker |
SPEAKER_13 |
transcript.pyannote[867].start |
9235.29659375 |
transcript.pyannote[867].end |
9239.19471875 |
transcript.pyannote[868].speaker |
SPEAKER_06 |
transcript.pyannote[868].start |
9239.19471875 |
transcript.pyannote[868].end |
9239.65034375 |
transcript.pyannote[869].speaker |
SPEAKER_13 |
transcript.pyannote[869].start |
9239.76846875 |
transcript.pyannote[869].end |
9240.08909375 |
transcript.pyannote[870].speaker |
SPEAKER_06 |
transcript.pyannote[870].start |
9240.08909375 |
transcript.pyannote[870].end |
9240.35909375 |
transcript.pyannote[871].speaker |
SPEAKER_13 |
transcript.pyannote[871].start |
9240.35909375 |
transcript.pyannote[871].end |
9240.37596875 |
transcript.pyannote[872].speaker |
SPEAKER_06 |
transcript.pyannote[872].start |
9240.37596875 |
transcript.pyannote[872].end |
9240.42659375 |
transcript.pyannote[873].speaker |
SPEAKER_13 |
transcript.pyannote[873].start |
9241.30409375 |
transcript.pyannote[873].end |
9241.35471875 |
transcript.pyannote[874].speaker |
SPEAKER_06 |
transcript.pyannote[874].start |
9241.35471875 |
transcript.pyannote[874].end |
9243.21096875 |
transcript.pyannote[875].speaker |
SPEAKER_06 |
transcript.pyannote[875].start |
9243.86909375 |
transcript.pyannote[875].end |
9247.39596875 |
transcript.pyannote[876].speaker |
SPEAKER_06 |
transcript.pyannote[876].start |
9247.95284375 |
transcript.pyannote[876].end |
9250.21409375 |
transcript.pyannote[877].speaker |
SPEAKER_06 |
transcript.pyannote[877].start |
9251.10846875 |
transcript.pyannote[877].end |
9255.42846875 |
transcript.pyannote[878].speaker |
SPEAKER_06 |
transcript.pyannote[878].start |
9255.73221875 |
transcript.pyannote[878].end |
9258.90471875 |
transcript.pyannote[879].speaker |
SPEAKER_06 |
transcript.pyannote[879].start |
9264.69284375 |
transcript.pyannote[879].end |
9269.23221875 |
transcript.pyannote[880].speaker |
SPEAKER_06 |
transcript.pyannote[880].start |
9269.78909375 |
transcript.pyannote[880].end |
9269.85659375 |
transcript.pyannote[881].speaker |
SPEAKER_06 |
transcript.pyannote[881].start |
9269.92409375 |
transcript.pyannote[881].end |
9270.00846875 |
transcript.pyannote[882].speaker |
SPEAKER_03 |
transcript.pyannote[882].start |
9270.00846875 |
transcript.pyannote[882].end |
9272.96159375 |
transcript.pyannote[883].speaker |
SPEAKER_03 |
transcript.pyannote[883].start |
9272.97846875 |
transcript.pyannote[883].end |
9273.02909375 |
transcript.pyannote[884].speaker |
SPEAKER_03 |
transcript.pyannote[884].start |
9273.24846875 |
transcript.pyannote[884].end |
9274.26096875 |
transcript.pyannote[885].speaker |
SPEAKER_03 |
transcript.pyannote[885].start |
9275.94846875 |
transcript.pyannote[885].end |
9276.50534375 |
transcript.pyannote[886].speaker |
SPEAKER_03 |
transcript.pyannote[886].start |
9277.72034375 |
transcript.pyannote[886].end |
9280.03221875 |
transcript.pyannote[887].speaker |
SPEAKER_06 |
transcript.pyannote[887].start |
9280.03221875 |
transcript.pyannote[887].end |
9282.47909375 |
transcript.pyannote[888].speaker |
SPEAKER_06 |
transcript.pyannote[888].start |
9283.27221875 |
transcript.pyannote[888].end |
9284.16659375 |
transcript.pyannote[889].speaker |
SPEAKER_06 |
transcript.pyannote[889].start |
9284.62221875 |
transcript.pyannote[889].end |
9286.15784375 |
transcript.pyannote[890].speaker |
SPEAKER_06 |
transcript.pyannote[890].start |
9287.13659375 |
transcript.pyannote[890].end |
9287.64284375 |
transcript.pyannote[891].speaker |
SPEAKER_03 |
transcript.pyannote[891].start |
9287.64284375 |
transcript.pyannote[891].end |
9287.65971875 |
transcript.pyannote[892].speaker |
SPEAKER_06 |
transcript.pyannote[892].start |
9288.26721875 |
transcript.pyannote[892].end |
9288.28409375 |
transcript.pyannote[893].speaker |
SPEAKER_03 |
transcript.pyannote[893].start |
9288.28409375 |
transcript.pyannote[893].end |
9288.63846875 |
transcript.pyannote[894].speaker |
SPEAKER_03 |
transcript.pyannote[894].start |
9290.08971875 |
transcript.pyannote[894].end |
9291.49034375 |
transcript.pyannote[895].speaker |
SPEAKER_03 |
transcript.pyannote[895].start |
9291.89534375 |
transcript.pyannote[895].end |
9292.38471875 |
transcript.pyannote[896].speaker |
SPEAKER_03 |
transcript.pyannote[896].start |
9292.62096875 |
transcript.pyannote[896].end |
9294.73034375 |
transcript.pyannote[897].speaker |
SPEAKER_03 |
transcript.pyannote[897].start |
9295.08471875 |
transcript.pyannote[897].end |
9303.74159375 |
transcript.pyannote[898].speaker |
SPEAKER_03 |
transcript.pyannote[898].start |
9304.11284375 |
transcript.pyannote[898].end |
9308.60159375 |
transcript.pyannote[899].speaker |
SPEAKER_03 |
transcript.pyannote[899].start |
9308.65221875 |
transcript.pyannote[899].end |
9315.03096875 |
transcript.pyannote[900].speaker |
SPEAKER_03 |
transcript.pyannote[900].start |
9315.14909375 |
transcript.pyannote[900].end |
9315.82409375 |
transcript.pyannote[901].speaker |
SPEAKER_03 |
transcript.pyannote[901].start |
9316.73534375 |
transcript.pyannote[901].end |
9331.61909375 |
transcript.pyannote[902].speaker |
SPEAKER_03 |
transcript.pyannote[902].start |
9331.66971875 |
transcript.pyannote[902].end |
9333.45846875 |
transcript.pyannote[903].speaker |
SPEAKER_03 |
transcript.pyannote[903].start |
9333.96471875 |
transcript.pyannote[903].end |
9338.26784375 |
transcript.pyannote[904].speaker |
SPEAKER_03 |
transcript.pyannote[904].start |
9338.47034375 |
transcript.pyannote[904].end |
9344.73096875 |
transcript.pyannote[905].speaker |
SPEAKER_03 |
transcript.pyannote[905].start |
9344.98409375 |
transcript.pyannote[905].end |
9346.68846875 |
transcript.pyannote[906].speaker |
SPEAKER_03 |
transcript.pyannote[906].start |
9346.99221875 |
transcript.pyannote[906].end |
9348.27471875 |
transcript.pyannote[907].speaker |
SPEAKER_03 |
transcript.pyannote[907].start |
9348.81471875 |
transcript.pyannote[907].end |
9352.24034375 |
transcript.pyannote[908].speaker |
SPEAKER_03 |
transcript.pyannote[908].start |
9352.34159375 |
transcript.pyannote[908].end |
9353.43846875 |
transcript.pyannote[909].speaker |
SPEAKER_03 |
transcript.pyannote[909].start |
9353.50596875 |
transcript.pyannote[909].end |
9354.51846875 |
transcript.pyannote[910].speaker |
SPEAKER_03 |
transcript.pyannote[910].start |
9355.34534375 |
transcript.pyannote[910].end |
9356.07096875 |
transcript.pyannote[911].speaker |
SPEAKER_05 |
transcript.pyannote[911].start |
9356.07096875 |
transcript.pyannote[911].end |
9356.08784375 |
transcript.pyannote[912].speaker |
SPEAKER_03 |
transcript.pyannote[912].start |
9356.67846875 |
transcript.pyannote[912].end |
9357.03284375 |
transcript.pyannote[913].speaker |
SPEAKER_05 |
transcript.pyannote[913].start |
9357.03284375 |
transcript.pyannote[913].end |
9358.53471875 |
transcript.pyannote[914].speaker |
SPEAKER_05 |
transcript.pyannote[914].start |
9359.61471875 |
transcript.pyannote[914].end |
9399.86159375 |
transcript.pyannote[915].speaker |
SPEAKER_05 |
transcript.pyannote[915].start |
9400.92471875 |
transcript.pyannote[915].end |
9402.96659375 |
transcript.pyannote[916].speaker |
SPEAKER_03 |
transcript.pyannote[916].start |
9402.96659375 |
transcript.pyannote[916].end |
9404.01284375 |
transcript.pyannote[917].speaker |
SPEAKER_05 |
transcript.pyannote[917].start |
9404.01284375 |
transcript.pyannote[917].end |
9404.04659375 |
transcript.pyannote[918].speaker |
SPEAKER_05 |
transcript.pyannote[918].start |
9404.21534375 |
transcript.pyannote[918].end |
9404.24909375 |
transcript.pyannote[919].speaker |
SPEAKER_03 |
transcript.pyannote[919].start |
9404.24909375 |
transcript.pyannote[919].end |
9406.96596875 |
transcript.pyannote[920].speaker |
SPEAKER_03 |
transcript.pyannote[920].start |
9407.59034375 |
transcript.pyannote[920].end |
9410.34096875 |
transcript.pyannote[921].speaker |
SPEAKER_03 |
transcript.pyannote[921].start |
9410.66159375 |
transcript.pyannote[921].end |
9412.26471875 |
transcript.pyannote[922].speaker |
SPEAKER_03 |
transcript.pyannote[922].start |
9412.46721875 |
transcript.pyannote[922].end |
9428.76846875 |
transcript.pyannote[923].speaker |
SPEAKER_03 |
transcript.pyannote[923].start |
9429.25784375 |
transcript.pyannote[923].end |
9429.86534375 |
transcript.pyannote[924].speaker |
SPEAKER_03 |
transcript.pyannote[924].start |
9430.30409375 |
transcript.pyannote[924].end |
9431.80596875 |
transcript.pyannote[925].speaker |
SPEAKER_05 |
transcript.pyannote[925].start |
9433.56096875 |
transcript.pyannote[925].end |
9434.23596875 |
transcript.pyannote[926].speaker |
SPEAKER_03 |
transcript.pyannote[926].start |
9434.28659375 |
transcript.pyannote[926].end |
9439.90596875 |
transcript.pyannote[927].speaker |
SPEAKER_05 |
transcript.pyannote[927].start |
9439.90596875 |
transcript.pyannote[927].end |
9448.51221875 |
transcript.pyannote[928].speaker |
SPEAKER_03 |
transcript.pyannote[928].start |
9439.92284375 |
transcript.pyannote[928].end |
9440.14221875 |
transcript.pyannote[929].speaker |
SPEAKER_06 |
transcript.pyannote[929].start |
9448.51221875 |
transcript.pyannote[929].end |
9448.74846875 |
transcript.pyannote[930].speaker |
SPEAKER_05 |
transcript.pyannote[930].start |
9449.03534375 |
transcript.pyannote[930].end |
9454.97534375 |
transcript.pyannote[931].speaker |
SPEAKER_03 |
transcript.pyannote[931].start |
9454.97534375 |
transcript.pyannote[931].end |
9456.91596875 |
transcript.pyannote[932].speaker |
SPEAKER_05 |
transcript.pyannote[932].start |
9456.91596875 |
transcript.pyannote[932].end |
9456.96659375 |
transcript.pyannote[933].speaker |
SPEAKER_03 |
transcript.pyannote[933].start |
9456.96659375 |
transcript.pyannote[933].end |
9458.11409375 |
transcript.pyannote[934].speaker |
SPEAKER_03 |
transcript.pyannote[934].start |
9458.26596875 |
transcript.pyannote[934].end |
9459.83534375 |
transcript.pyannote[935].speaker |
SPEAKER_03 |
transcript.pyannote[935].start |
9460.08846875 |
transcript.pyannote[935].end |
9465.72471875 |
transcript.pyannote[936].speaker |
SPEAKER_03 |
transcript.pyannote[936].start |
9466.01159375 |
transcript.pyannote[936].end |
9466.72034375 |
transcript.pyannote[937].speaker |
SPEAKER_03 |
transcript.pyannote[937].start |
9467.10846875 |
transcript.pyannote[937].end |
9469.40346875 |
transcript.pyannote[938].speaker |
SPEAKER_03 |
transcript.pyannote[938].start |
9469.55534375 |
transcript.pyannote[938].end |
9470.34846875 |
transcript.pyannote[939].speaker |
SPEAKER_03 |
transcript.pyannote[939].start |
9470.78721875 |
transcript.pyannote[939].end |
9471.09096875 |
transcript.pyannote[940].speaker |
SPEAKER_03 |
transcript.pyannote[940].start |
9471.24284375 |
transcript.pyannote[940].end |
9472.00221875 |
transcript.pyannote[941].speaker |
SPEAKER_03 |
transcript.pyannote[941].start |
9472.37346875 |
transcript.pyannote[941].end |
9473.08221875 |
transcript.pyannote[942].speaker |
SPEAKER_03 |
transcript.pyannote[942].start |
9473.90909375 |
transcript.pyannote[942].end |
9474.98909375 |
transcript.pyannote[943].speaker |
SPEAKER_03 |
transcript.pyannote[943].start |
9475.49534375 |
transcript.pyannote[943].end |
9476.10284375 |
transcript.pyannote[944].speaker |
SPEAKER_03 |
transcript.pyannote[944].start |
9476.50784375 |
transcript.pyannote[944].end |
9477.60471875 |
transcript.pyannote[945].speaker |
SPEAKER_03 |
transcript.pyannote[945].start |
9477.80721875 |
transcript.pyannote[945].end |
9479.08971875 |
transcript.pyannote[946].speaker |
SPEAKER_03 |
transcript.pyannote[946].start |
9479.66346875 |
transcript.pyannote[946].end |
9480.99659375 |
transcript.pyannote[947].speaker |
SPEAKER_03 |
transcript.pyannote[947].start |
9481.31721875 |
transcript.pyannote[947].end |
9482.31284375 |
transcript.pyannote[948].speaker |
SPEAKER_03 |
transcript.pyannote[948].start |
9482.58284375 |
transcript.pyannote[948].end |
9482.92034375 |
transcript.pyannote[949].speaker |
SPEAKER_03 |
transcript.pyannote[949].start |
9483.67971875 |
transcript.pyannote[949].end |
9484.08471875 |
transcript.pyannote[950].speaker |
SPEAKER_03 |
transcript.pyannote[950].start |
9484.40534375 |
transcript.pyannote[950].end |
9485.46846875 |
transcript.pyannote[951].speaker |
SPEAKER_03 |
transcript.pyannote[951].start |
9485.94096875 |
transcript.pyannote[951].end |
9488.62409375 |
transcript.pyannote[952].speaker |
SPEAKER_03 |
transcript.pyannote[952].start |
9488.84346875 |
transcript.pyannote[952].end |
9490.05846875 |
transcript.pyannote[953].speaker |
SPEAKER_03 |
transcript.pyannote[953].start |
9490.59846875 |
transcript.pyannote[953].end |
9491.57721875 |
transcript.pyannote[954].speaker |
SPEAKER_03 |
transcript.pyannote[954].start |
9491.64471875 |
transcript.pyannote[954].end |
9492.58971875 |
transcript.pyannote[955].speaker |
SPEAKER_03 |
transcript.pyannote[955].start |
9493.01159375 |
transcript.pyannote[955].end |
9495.64409375 |
transcript.pyannote[956].speaker |
SPEAKER_03 |
transcript.pyannote[956].start |
9496.11659375 |
transcript.pyannote[956].end |
9497.88846875 |
transcript.pyannote[957].speaker |
SPEAKER_03 |
transcript.pyannote[957].start |
9498.39471875 |
transcript.pyannote[957].end |
9498.79971875 |
transcript.pyannote[958].speaker |
SPEAKER_03 |
transcript.pyannote[958].start |
9499.44096875 |
transcript.pyannote[958].end |
9503.06909375 |
transcript.pyannote[959].speaker |
SPEAKER_03 |
transcript.pyannote[959].start |
9503.59221875 |
transcript.pyannote[959].end |
9505.68471875 |
transcript.pyannote[960].speaker |
SPEAKER_03 |
transcript.pyannote[960].start |
9505.93784375 |
transcript.pyannote[960].end |
9508.03034375 |
transcript.pyannote[961].speaker |
SPEAKER_03 |
transcript.pyannote[961].start |
9508.26659375 |
transcript.pyannote[961].end |
9530.25471875 |
transcript.pyannote[962].speaker |
SPEAKER_03 |
transcript.pyannote[962].start |
9530.67659375 |
transcript.pyannote[962].end |
9531.65534375 |
transcript.pyannote[963].speaker |
SPEAKER_03 |
transcript.pyannote[963].start |
9532.07721875 |
transcript.pyannote[963].end |
9533.19096875 |
transcript.pyannote[964].speaker |
SPEAKER_03 |
transcript.pyannote[964].start |
9533.66346875 |
transcript.pyannote[964].end |
9534.65909375 |
transcript.pyannote[965].speaker |
SPEAKER_03 |
transcript.pyannote[965].start |
9534.82784375 |
transcript.pyannote[965].end |
9535.85721875 |
transcript.pyannote[966].speaker |
SPEAKER_05 |
transcript.pyannote[966].start |
9535.85721875 |
transcript.pyannote[966].end |
9535.87409375 |
transcript.pyannote[967].speaker |
SPEAKER_03 |
transcript.pyannote[967].start |
9537.25784375 |
transcript.pyannote[967].end |
9537.27471875 |
transcript.pyannote[968].speaker |
SPEAKER_05 |
transcript.pyannote[968].start |
9537.27471875 |
transcript.pyannote[968].end |
9538.28721875 |
transcript.pyannote[969].speaker |
SPEAKER_05 |
transcript.pyannote[969].start |
9538.94534375 |
transcript.pyannote[969].end |
9558.97596875 |
transcript.pyannote[970].speaker |
SPEAKER_03 |
transcript.pyannote[970].start |
9558.97596875 |
transcript.pyannote[970].end |
9565.25346875 |
transcript.pyannote[971].speaker |
SPEAKER_03 |
transcript.pyannote[971].start |
9565.75971875 |
transcript.pyannote[971].end |
9570.50159375 |
transcript.pyannote[972].speaker |
SPEAKER_03 |
transcript.pyannote[972].start |
9570.73784375 |
transcript.pyannote[972].end |
9594.07596875 |
transcript.pyannote[973].speaker |
SPEAKER_03 |
transcript.pyannote[973].start |
9594.31221875 |
transcript.pyannote[973].end |
9596.48909375 |
transcript.pyannote[974].speaker |
SPEAKER_03 |
transcript.pyannote[974].start |
9596.69159375 |
transcript.pyannote[974].end |
9598.14284375 |
transcript.pyannote[975].speaker |
SPEAKER_03 |
transcript.pyannote[975].start |
9598.61534375 |
transcript.pyannote[975].end |
9599.18909375 |
transcript.pyannote[976].speaker |
SPEAKER_03 |
transcript.pyannote[976].start |
9599.62784375 |
transcript.pyannote[976].end |
9600.80909375 |
transcript.pyannote[977].speaker |
SPEAKER_03 |
transcript.pyannote[977].start |
9601.14659375 |
transcript.pyannote[977].end |
9602.93534375 |
transcript.pyannote[978].speaker |
SPEAKER_03 |
transcript.pyannote[978].start |
9603.94784375 |
transcript.pyannote[978].end |
9605.50034375 |
transcript.pyannote[979].speaker |
SPEAKER_03 |
transcript.pyannote[979].start |
9605.66909375 |
transcript.pyannote[979].end |
9607.72784375 |
transcript.pyannote[980].speaker |
SPEAKER_03 |
transcript.pyannote[980].start |
9608.14971875 |
transcript.pyannote[980].end |
9610.19159375 |
transcript.pyannote[981].speaker |
SPEAKER_03 |
transcript.pyannote[981].start |
9610.34346875 |
transcript.pyannote[981].end |
9612.04784375 |
transcript.pyannote[982].speaker |
SPEAKER_03 |
transcript.pyannote[982].start |
9612.65534375 |
transcript.pyannote[982].end |
9614.66346875 |
transcript.pyannote[983].speaker |
SPEAKER_03 |
transcript.pyannote[983].start |
9614.83221875 |
transcript.pyannote[983].end |
9622.67909375 |
transcript.pyannote[984].speaker |
SPEAKER_03 |
transcript.pyannote[984].start |
9623.21909375 |
transcript.pyannote[984].end |
9624.58596875 |
transcript.pyannote[985].speaker |
SPEAKER_03 |
transcript.pyannote[985].start |
9624.97409375 |
transcript.pyannote[985].end |
9625.56471875 |
transcript.pyannote[986].speaker |
SPEAKER_03 |
transcript.pyannote[986].start |
9626.08784375 |
transcript.pyannote[986].end |
9629.39534375 |
transcript.pyannote[987].speaker |
SPEAKER_03 |
transcript.pyannote[987].start |
9629.88471875 |
transcript.pyannote[987].end |
9643.50284375 |
transcript.pyannote[988].speaker |
SPEAKER_03 |
transcript.pyannote[988].start |
9643.75596875 |
transcript.pyannote[988].end |
9645.52784375 |
transcript.pyannote[989].speaker |
SPEAKER_03 |
transcript.pyannote[989].start |
9645.91596875 |
transcript.pyannote[989].end |
9647.92409375 |
transcript.pyannote[990].speaker |
SPEAKER_03 |
transcript.pyannote[990].start |
9651.11346875 |
transcript.pyannote[990].end |
9655.12971875 |
transcript.pyannote[991].speaker |
SPEAKER_03 |
transcript.pyannote[991].start |
9655.36596875 |
transcript.pyannote[991].end |
9655.97346875 |
transcript.pyannote[992].speaker |
SPEAKER_03 |
transcript.pyannote[992].start |
9656.58096875 |
transcript.pyannote[992].end |
9658.23471875 |
transcript.pyannote[993].speaker |
SPEAKER_03 |
transcript.pyannote[993].start |
9658.80846875 |
transcript.pyannote[993].end |
9660.32721875 |
transcript.pyannote[994].speaker |
SPEAKER_24 |
transcript.pyannote[994].start |
9661.17096875 |
transcript.pyannote[994].end |
9662.89221875 |
transcript.pyannote[995].speaker |
SPEAKER_24 |
transcript.pyannote[995].start |
9662.94284375 |
transcript.pyannote[995].end |
9671.97096875 |
transcript.pyannote[996].speaker |
SPEAKER_01 |
transcript.pyannote[996].start |
9670.36784375 |
transcript.pyannote[996].end |
9670.40159375 |
transcript.pyannote[997].speaker |
SPEAKER_01 |
transcript.pyannote[997].start |
9670.45221875 |
transcript.pyannote[997].end |
9670.46909375 |
transcript.pyannote[998].speaker |
SPEAKER_01 |
transcript.pyannote[998].start |
9671.97096875 |
transcript.pyannote[998].end |
9672.03846875 |
transcript.pyannote[999].speaker |
SPEAKER_24 |
transcript.pyannote[999].start |
9672.03846875 |
transcript.pyannote[999].end |
9674.75534375 |
transcript.pyannote[1000].speaker |
SPEAKER_24 |
transcript.pyannote[1000].start |
9675.05909375 |
transcript.pyannote[1000].end |
9681.30284375 |
transcript.pyannote[1001].speaker |
SPEAKER_03 |
transcript.pyannote[1001].start |
9681.48846875 |
transcript.pyannote[1001].end |
9681.82596875 |
transcript.pyannote[1002].speaker |
SPEAKER_03 |
transcript.pyannote[1002].start |
9682.66971875 |
transcript.pyannote[1002].end |
9685.01534375 |
transcript.pyannote[1003].speaker |
SPEAKER_03 |
transcript.pyannote[1003].start |
9685.31909375 |
transcript.pyannote[1003].end |
9692.42346875 |
transcript.pyannote[1004].speaker |
SPEAKER_03 |
transcript.pyannote[1004].start |
9692.81159375 |
transcript.pyannote[1004].end |
9698.29596875 |
transcript.pyannote[1005].speaker |
SPEAKER_03 |
transcript.pyannote[1005].start |
9699.02159375 |
transcript.pyannote[1005].end |
9705.21471875 |
transcript.pyannote[1006].speaker |
SPEAKER_03 |
transcript.pyannote[1006].start |
9705.94034375 |
transcript.pyannote[1006].end |
9707.91471875 |
transcript.pyannote[1007].speaker |
SPEAKER_03 |
transcript.pyannote[1007].start |
9707.94846875 |
transcript.pyannote[1007].end |
9707.96534375 |
transcript.pyannote[1008].speaker |
SPEAKER_03 |
transcript.pyannote[1008].start |
9708.03284375 |
transcript.pyannote[1008].end |
9731.23596875 |
transcript.pyannote[1009].speaker |
SPEAKER_03 |
transcript.pyannote[1009].start |
9731.87721875 |
transcript.pyannote[1009].end |
9735.25221875 |
transcript.pyannote[1010].speaker |
SPEAKER_03 |
transcript.pyannote[1010].start |
9735.60659375 |
transcript.pyannote[1010].end |
9753.47721875 |
transcript.pyannote[1011].speaker |
SPEAKER_03 |
transcript.pyannote[1011].start |
9754.06784375 |
transcript.pyannote[1011].end |
9757.64534375 |
transcript.pyannote[1012].speaker |
SPEAKER_03 |
transcript.pyannote[1012].start |
9758.16846875 |
transcript.pyannote[1012].end |
9759.40034375 |
transcript.pyannote[1013].speaker |
SPEAKER_03 |
transcript.pyannote[1013].start |
9760.10909375 |
transcript.pyannote[1013].end |
9760.73346875 |
transcript.pyannote[1014].speaker |
SPEAKER_03 |
transcript.pyannote[1014].start |
9760.90221875 |
transcript.pyannote[1014].end |
9761.96534375 |
transcript.pyannote[1015].speaker |
SPEAKER_03 |
transcript.pyannote[1015].start |
9762.13409375 |
transcript.pyannote[1015].end |
9763.26471875 |
transcript.pyannote[1016].speaker |
SPEAKER_03 |
transcript.pyannote[1016].start |
9763.80471875 |
transcript.pyannote[1016].end |
9767.95596875 |
transcript.pyannote[1017].speaker |
SPEAKER_03 |
transcript.pyannote[1017].start |
9768.14159375 |
transcript.pyannote[1017].end |
9769.00221875 |
transcript.pyannote[1018].speaker |
SPEAKER_03 |
transcript.pyannote[1018].start |
9769.39034375 |
transcript.pyannote[1018].end |
9770.08221875 |
transcript.pyannote[1019].speaker |
SPEAKER_03 |
transcript.pyannote[1019].start |
9770.48721875 |
transcript.pyannote[1019].end |
9774.28409375 |
transcript.pyannote[1020].speaker |
SPEAKER_03 |
transcript.pyannote[1020].start |
9774.41909375 |
transcript.pyannote[1020].end |
9775.51596875 |
transcript.pyannote[1021].speaker |
SPEAKER_03 |
transcript.pyannote[1021].start |
9775.70159375 |
transcript.pyannote[1021].end |
9779.78534375 |
transcript.pyannote[1022].speaker |
SPEAKER_03 |
transcript.pyannote[1022].start |
9780.49409375 |
transcript.pyannote[1022].end |
9788.61096875 |
transcript.pyannote[1023].speaker |
SPEAKER_03 |
transcript.pyannote[1023].start |
9789.55596875 |
transcript.pyannote[1023].end |
9792.10409375 |
transcript.pyannote[1024].speaker |
SPEAKER_03 |
transcript.pyannote[1024].start |
9792.50909375 |
transcript.pyannote[1024].end |
9794.36534375 |
transcript.pyannote[1025].speaker |
SPEAKER_03 |
transcript.pyannote[1025].start |
9795.12471875 |
transcript.pyannote[1025].end |
9796.50846875 |
transcript.pyannote[1026].speaker |
SPEAKER_03 |
transcript.pyannote[1026].start |
9797.13284375 |
transcript.pyannote[1026].end |
9798.43221875 |
transcript.pyannote[1027].speaker |
SPEAKER_03 |
transcript.pyannote[1027].start |
9799.15784375 |
transcript.pyannote[1027].end |
9800.08596875 |
transcript.pyannote[1028].speaker |
SPEAKER_03 |
transcript.pyannote[1028].start |
9800.45721875 |
transcript.pyannote[1028].end |
9802.24596875 |
transcript.pyannote[1029].speaker |
SPEAKER_03 |
transcript.pyannote[1029].start |
9802.53284375 |
transcript.pyannote[1029].end |
9804.00096875 |
transcript.pyannote[1030].speaker |
SPEAKER_03 |
transcript.pyannote[1030].start |
9804.13596875 |
transcript.pyannote[1030].end |
9804.91221875 |
transcript.pyannote[1031].speaker |
SPEAKER_03 |
transcript.pyannote[1031].start |
9805.38471875 |
transcript.pyannote[1031].end |
9807.69659375 |
transcript.pyannote[1032].speaker |
SPEAKER_03 |
transcript.pyannote[1032].start |
9807.86534375 |
transcript.pyannote[1032].end |
9818.44596875 |
transcript.pyannote[1033].speaker |
SPEAKER_03 |
transcript.pyannote[1033].start |
9818.81721875 |
transcript.pyannote[1033].end |
9820.03221875 |
transcript.pyannote[1034].speaker |
SPEAKER_03 |
transcript.pyannote[1034].start |
9820.06596875 |
transcript.pyannote[1034].end |
9821.17971875 |
transcript.pyannote[1035].speaker |
SPEAKER_03 |
transcript.pyannote[1035].start |
9821.33159375 |
transcript.pyannote[1035].end |
9827.23784375 |
transcript.pyannote[1036].speaker |
SPEAKER_03 |
transcript.pyannote[1036].start |
9827.49096875 |
transcript.pyannote[1036].end |
9831.23721875 |
transcript.pyannote[1037].speaker |
SPEAKER_03 |
transcript.pyannote[1037].start |
9831.74346875 |
transcript.pyannote[1037].end |
9836.36721875 |
transcript.pyannote[1038].speaker |
SPEAKER_03 |
transcript.pyannote[1038].start |
9836.51909375 |
transcript.pyannote[1038].end |
9837.49784375 |
transcript.pyannote[1039].speaker |
SPEAKER_03 |
transcript.pyannote[1039].start |
9838.02096875 |
transcript.pyannote[1039].end |
9840.45096875 |
transcript.pyannote[1040].speaker |
SPEAKER_03 |
transcript.pyannote[1040].start |
9841.48034375 |
transcript.pyannote[1040].end |
9843.18471875 |
transcript.pyannote[1041].speaker |
SPEAKER_03 |
transcript.pyannote[1041].start |
9844.14659375 |
transcript.pyannote[1041].end |
9844.82159375 |
transcript.pyannote[1042].speaker |
SPEAKER_13 |
transcript.pyannote[1042].start |
9845.22659375 |
transcript.pyannote[1042].end |
9907.02284375 |
transcript.pyannote[1043].speaker |
SPEAKER_03 |
transcript.pyannote[1043].start |
9906.36471875 |
transcript.pyannote[1043].end |
9907.95096875 |
transcript.pyannote[1044].speaker |
SPEAKER_13 |
transcript.pyannote[1044].start |
9907.07346875 |
transcript.pyannote[1044].end |
9909.99284375 |
transcript.pyannote[1045].speaker |
SPEAKER_03 |
transcript.pyannote[1045].start |
9908.84534375 |
transcript.pyannote[1045].end |
9913.51971875 |
transcript.pyannote[1046].speaker |
SPEAKER_03 |
transcript.pyannote[1046].start |
9913.97534375 |
transcript.pyannote[1046].end |
9917.60346875 |
transcript.pyannote[1047].speaker |
SPEAKER_03 |
transcript.pyannote[1047].start |
9917.75534375 |
transcript.pyannote[1047].end |
9919.49346875 |
transcript.pyannote[1048].speaker |
SPEAKER_03 |
transcript.pyannote[1048].start |
9920.42159375 |
transcript.pyannote[1048].end |
9922.19346875 |
transcript.pyannote[1049].speaker |
SPEAKER_03 |
transcript.pyannote[1049].start |
9923.13846875 |
transcript.pyannote[1049].end |
9929.61846875 |
transcript.pyannote[1050].speaker |
SPEAKER_03 |
transcript.pyannote[1050].start |
9929.90534375 |
transcript.pyannote[1050].end |
9934.61346875 |
transcript.pyannote[1051].speaker |
SPEAKER_03 |
transcript.pyannote[1051].start |
9934.83284375 |
transcript.pyannote[1051].end |
9936.35159375 |
transcript.pyannote[1052].speaker |
SPEAKER_03 |
transcript.pyannote[1052].start |
9936.73971875 |
transcript.pyannote[1052].end |
9938.44409375 |
transcript.pyannote[1053].speaker |
SPEAKER_03 |
transcript.pyannote[1053].start |
9938.66346875 |
transcript.pyannote[1053].end |
9940.14846875 |
transcript.pyannote[1054].speaker |
SPEAKER_03 |
transcript.pyannote[1054].start |
9940.75596875 |
transcript.pyannote[1054].end |
9946.61159375 |
transcript.pyannote[1055].speaker |
SPEAKER_03 |
transcript.pyannote[1055].start |
9946.71284375 |
transcript.pyannote[1055].end |
9947.65784375 |
transcript.pyannote[1056].speaker |
SPEAKER_03 |
transcript.pyannote[1056].start |
9947.87721875 |
transcript.pyannote[1056].end |
9954.05346875 |
transcript.pyannote[1057].speaker |
SPEAKER_03 |
transcript.pyannote[1057].start |
9954.42471875 |
transcript.pyannote[1057].end |
9958.39034375 |
transcript.pyannote[1058].speaker |
SPEAKER_03 |
transcript.pyannote[1058].start |
9958.98096875 |
transcript.pyannote[1058].end |
9963.26721875 |
transcript.pyannote[1059].speaker |
SPEAKER_03 |
transcript.pyannote[1059].start |
9963.53721875 |
transcript.pyannote[1059].end |
9965.08971875 |
transcript.pyannote[1060].speaker |
SPEAKER_03 |
transcript.pyannote[1060].start |
9965.29221875 |
transcript.pyannote[1060].end |
9966.13596875 |
transcript.pyannote[1061].speaker |
SPEAKER_03 |
transcript.pyannote[1061].start |
9966.57471875 |
transcript.pyannote[1061].end |
9971.23221875 |
transcript.pyannote[1062].speaker |
SPEAKER_03 |
transcript.pyannote[1062].start |
9972.05909375 |
transcript.pyannote[1062].end |
9972.83534375 |
transcript.pyannote[1063].speaker |
SPEAKER_03 |
transcript.pyannote[1063].start |
9973.39221875 |
transcript.pyannote[1063].end |
9976.24409375 |
transcript.pyannote[1064].speaker |
SPEAKER_03 |
transcript.pyannote[1064].start |
9976.42971875 |
transcript.pyannote[1064].end |
9977.88096875 |
transcript.pyannote[1065].speaker |
SPEAKER_03 |
transcript.pyannote[1065].start |
9978.48846875 |
transcript.pyannote[1065].end |
9980.10846875 |
transcript.pyannote[1066].speaker |
SPEAKER_03 |
transcript.pyannote[1066].start |
9980.27721875 |
transcript.pyannote[1066].end |
9980.90159375 |
transcript.pyannote[1067].speaker |
SPEAKER_03 |
transcript.pyannote[1067].start |
9980.95221875 |
transcript.pyannote[1067].end |
9982.23471875 |
transcript.pyannote[1068].speaker |
SPEAKER_03 |
transcript.pyannote[1068].start |
9982.33596875 |
transcript.pyannote[1068].end |
9983.11221875 |
transcript.pyannote[1069].speaker |
SPEAKER_03 |
transcript.pyannote[1069].start |
9983.82096875 |
transcript.pyannote[1069].end |
9984.47909375 |
transcript.pyannote[1070].speaker |
SPEAKER_03 |
transcript.pyannote[1070].start |
9984.74909375 |
transcript.pyannote[1070].end |
9985.40721875 |
transcript.pyannote[1071].speaker |
SPEAKER_03 |
transcript.pyannote[1071].start |
9986.38596875 |
transcript.pyannote[1071].end |
9987.58409375 |
transcript.pyannote[1072].speaker |
SPEAKER_03 |
transcript.pyannote[1072].start |
9988.29284375 |
transcript.pyannote[1072].end |
10003.98659375 |
transcript.pyannote[1073].speaker |
SPEAKER_12 |
transcript.pyannote[1073].start |
10004.22284375 |
transcript.pyannote[1073].end |
10004.61096875 |
transcript.pyannote[1074].speaker |
SPEAKER_03 |
transcript.pyannote[1074].start |
10004.62784375 |
transcript.pyannote[1074].end |
10005.03284375 |
transcript.pyannote[1075].speaker |
SPEAKER_03 |
transcript.pyannote[1075].start |
10005.47159375 |
transcript.pyannote[1075].end |
10007.88471875 |
transcript.pyannote[1076].speaker |
SPEAKER_13 |
transcript.pyannote[1076].start |
10007.36159375 |
transcript.pyannote[1076].end |
10009.58909375 |
transcript.pyannote[1077].speaker |
SPEAKER_03 |
transcript.pyannote[1077].start |
10009.58909375 |
transcript.pyannote[1077].end |
10009.63971875 |
transcript.pyannote[1078].speaker |
SPEAKER_13 |
transcript.pyannote[1078].start |
10009.63971875 |
transcript.pyannote[1078].end |
10009.65659375 |
transcript.pyannote[1079].speaker |
SPEAKER_03 |
transcript.pyannote[1079].start |
10009.65659375 |
transcript.pyannote[1079].end |
10009.69034375 |
transcript.pyannote[1080].speaker |
SPEAKER_13 |
transcript.pyannote[1080].start |
10009.69034375 |
transcript.pyannote[1080].end |
10009.70721875 |
transcript.pyannote[1081].speaker |
SPEAKER_03 |
transcript.pyannote[1081].start |
10009.70721875 |
transcript.pyannote[1081].end |
10009.89284375 |
transcript.pyannote[1082].speaker |
SPEAKER_13 |
transcript.pyannote[1082].start |
10009.89284375 |
transcript.pyannote[1082].end |
10035.44159375 |
transcript.pyannote[1083].speaker |
SPEAKER_03 |
transcript.pyannote[1083].start |
10010.36534375 |
transcript.pyannote[1083].end |
10011.17534375 |
transcript.pyannote[1084].speaker |
SPEAKER_03 |
transcript.pyannote[1084].start |
10011.54659375 |
transcript.pyannote[1084].end |
10013.08221875 |
transcript.pyannote[1085].speaker |
SPEAKER_03 |
transcript.pyannote[1085].start |
10032.97784375 |
transcript.pyannote[1085].end |
10033.33221875 |
transcript.pyannote[1086].speaker |
SPEAKER_03 |
transcript.pyannote[1086].start |
10034.09159375 |
transcript.pyannote[1086].end |
10034.90159375 |
transcript.pyannote[1087].speaker |
SPEAKER_03 |
transcript.pyannote[1087].start |
10035.20534375 |
transcript.pyannote[1087].end |
10042.37721875 |
transcript.pyannote[1088].speaker |
SPEAKER_03 |
transcript.pyannote[1088].start |
10042.47846875 |
transcript.pyannote[1088].end |
10043.06909375 |
transcript.pyannote[1089].speaker |
SPEAKER_03 |
transcript.pyannote[1089].start |
10043.27159375 |
transcript.pyannote[1089].end |
10048.67159375 |
transcript.pyannote[1090].speaker |
SPEAKER_03 |
transcript.pyannote[1090].start |
10048.87409375 |
transcript.pyannote[1090].end |
10053.59909375 |
transcript.pyannote[1091].speaker |
SPEAKER_03 |
transcript.pyannote[1091].start |
10053.95346875 |
transcript.pyannote[1091].end |
10055.77596875 |
transcript.pyannote[1092].speaker |
SPEAKER_03 |
transcript.pyannote[1092].start |
10056.14721875 |
transcript.pyannote[1092].end |
10056.94034375 |
transcript.pyannote[1093].speaker |
SPEAKER_03 |
transcript.pyannote[1093].start |
10057.21034375 |
transcript.pyannote[1093].end |
10062.10409375 |
transcript.pyannote[1094].speaker |
SPEAKER_04 |
transcript.pyannote[1094].start |
10062.10409375 |
transcript.pyannote[1094].end |
10062.12096875 |
transcript.pyannote[1095].speaker |
SPEAKER_04 |
transcript.pyannote[1095].start |
10063.42034375 |
transcript.pyannote[1095].end |
10070.92971875 |
transcript.pyannote[1096].speaker |
SPEAKER_03 |
transcript.pyannote[1096].start |
10069.76534375 |
transcript.pyannote[1096].end |
10070.91284375 |
transcript.pyannote[1097].speaker |
SPEAKER_03 |
transcript.pyannote[1097].start |
10070.92971875 |
transcript.pyannote[1097].end |
10071.06471875 |
transcript.pyannote[1098].speaker |
SPEAKER_04 |
transcript.pyannote[1098].start |
10071.06471875 |
transcript.pyannote[1098].end |
10071.13221875 |
transcript.pyannote[1099].speaker |
SPEAKER_03 |
transcript.pyannote[1099].start |
10072.04346875 |
transcript.pyannote[1099].end |
10073.17409375 |
transcript.pyannote[1100].speaker |
SPEAKER_03 |
transcript.pyannote[1100].start |
10073.30909375 |
transcript.pyannote[1100].end |
10075.87409375 |
transcript.pyannote[1101].speaker |
SPEAKER_03 |
transcript.pyannote[1101].start |
10076.12721875 |
transcript.pyannote[1101].end |
10076.48159375 |
transcript.pyannote[1102].speaker |
SPEAKER_03 |
transcript.pyannote[1102].start |
10077.17346875 |
transcript.pyannote[1102].end |
10078.01721875 |
transcript.pyannote[1103].speaker |
SPEAKER_03 |
transcript.pyannote[1103].start |
10078.72596875 |
transcript.pyannote[1103].end |
10079.36721875 |
transcript.pyannote[1104].speaker |
SPEAKER_03 |
transcript.pyannote[1104].start |
10079.56971875 |
transcript.pyannote[1104].end |
10081.54409375 |
transcript.pyannote[1105].speaker |
SPEAKER_03 |
transcript.pyannote[1105].start |
10082.50596875 |
transcript.pyannote[1105].end |
10083.90659375 |
transcript.pyannote[1106].speaker |
SPEAKER_03 |
transcript.pyannote[1106].start |
10084.37909375 |
transcript.pyannote[1106].end |
10085.50971875 |
transcript.pyannote[1107].speaker |
SPEAKER_03 |
transcript.pyannote[1107].start |
10086.20159375 |
transcript.pyannote[1107].end |
10089.42471875 |
transcript.pyannote[1108].speaker |
SPEAKER_03 |
transcript.pyannote[1108].start |
10089.96471875 |
transcript.pyannote[1108].end |
10090.40346875 |
transcript.pyannote[1109].speaker |
SPEAKER_03 |
transcript.pyannote[1109].start |
10091.04471875 |
transcript.pyannote[1109].end |
10091.46659375 |
transcript.pyannote[1110].speaker |
SPEAKER_03 |
transcript.pyannote[1110].start |
10091.83784375 |
transcript.pyannote[1110].end |
10092.47909375 |
transcript.pyannote[1111].speaker |
SPEAKER_03 |
transcript.pyannote[1111].start |
10094.20034375 |
transcript.pyannote[1111].end |
10095.36471875 |
transcript.pyannote[1112].speaker |
SPEAKER_03 |
transcript.pyannote[1112].start |
10095.73596875 |
transcript.pyannote[1112].end |
10098.68909375 |
transcript.pyannote[1113].speaker |
SPEAKER_03 |
transcript.pyannote[1113].start |
10099.29659375 |
transcript.pyannote[1113].end |
10103.61659375 |
transcript.pyannote[1114].speaker |
SPEAKER_03 |
transcript.pyannote[1114].start |
10104.15659375 |
transcript.pyannote[1114].end |
10105.27034375 |
transcript.pyannote[1115].speaker |
SPEAKER_03 |
transcript.pyannote[1115].start |
10106.18159375 |
transcript.pyannote[1115].end |
10109.82659375 |
transcript.pyannote[1116].speaker |
SPEAKER_03 |
transcript.pyannote[1116].start |
10110.55221875 |
transcript.pyannote[1116].end |
10113.25221875 |
transcript.pyannote[1117].speaker |
SPEAKER_03 |
transcript.pyannote[1117].start |
10113.97784375 |
transcript.pyannote[1117].end |
10118.51721875 |
transcript.pyannote[1118].speaker |
SPEAKER_03 |
transcript.pyannote[1118].start |
10119.05721875 |
transcript.pyannote[1118].end |
10121.21721875 |
transcript.pyannote[1119].speaker |
SPEAKER_03 |
transcript.pyannote[1119].start |
10122.61784375 |
transcript.pyannote[1119].end |
10130.68409375 |
transcript.pyannote[1120].speaker |
SPEAKER_03 |
transcript.pyannote[1120].start |
10131.17346875 |
transcript.pyannote[1120].end |
10132.38846875 |
transcript.pyannote[1121].speaker |
SPEAKER_03 |
transcript.pyannote[1121].start |
10132.55721875 |
transcript.pyannote[1121].end |
10135.08846875 |
transcript.pyannote[1122].speaker |
SPEAKER_03 |
transcript.pyannote[1122].start |
10135.37534375 |
transcript.pyannote[1122].end |
10135.74659375 |
transcript.pyannote[1123].speaker |
SPEAKER_03 |
transcript.pyannote[1123].start |
10136.05034375 |
transcript.pyannote[1123].end |
10138.27784375 |
transcript.pyannote[1124].speaker |
SPEAKER_03 |
transcript.pyannote[1124].start |
10139.32409375 |
transcript.pyannote[1124].end |
10139.56034375 |
transcript.pyannote[1125].speaker |
SPEAKER_03 |
transcript.pyannote[1125].start |
10140.11721875 |
transcript.pyannote[1125].end |
10140.47159375 |
transcript.pyannote[1126].speaker |
SPEAKER_03 |
transcript.pyannote[1126].start |
10140.77534375 |
transcript.pyannote[1126].end |
10142.73284375 |
transcript.pyannote[1127].speaker |
SPEAKER_03 |
transcript.pyannote[1127].start |
10143.39096875 |
transcript.pyannote[1127].end |
10144.25159375 |
transcript.pyannote[1128].speaker |
SPEAKER_03 |
transcript.pyannote[1128].start |
10144.47096875 |
transcript.pyannote[1128].end |
10147.79534375 |
transcript.pyannote[1129].speaker |
SPEAKER_03 |
transcript.pyannote[1129].start |
10148.14971875 |
transcript.pyannote[1129].end |
10150.34346875 |
transcript.pyannote[1130].speaker |
SPEAKER_03 |
transcript.pyannote[1130].start |
10150.91721875 |
transcript.pyannote[1130].end |
10151.69346875 |
transcript.pyannote[1131].speaker |
SPEAKER_03 |
transcript.pyannote[1131].start |
10152.14909375 |
transcript.pyannote[1131].end |
10153.29659375 |
transcript.pyannote[1132].speaker |
SPEAKER_03 |
transcript.pyannote[1132].start |
10153.83659375 |
transcript.pyannote[1132].end |
10156.30034375 |
transcript.pyannote[1133].speaker |
SPEAKER_03 |
transcript.pyannote[1133].start |
10156.70534375 |
transcript.pyannote[1133].end |
10159.62471875 |
transcript.pyannote[1134].speaker |
SPEAKER_03 |
transcript.pyannote[1134].start |
10159.82721875 |
transcript.pyannote[1134].end |
10165.31159375 |
transcript.pyannote[1135].speaker |
SPEAKER_03 |
transcript.pyannote[1135].start |
10165.42971875 |
transcript.pyannote[1135].end |
10166.81346875 |
transcript.pyannote[1136].speaker |
SPEAKER_03 |
transcript.pyannote[1136].start |
10166.96534375 |
transcript.pyannote[1136].end |
10185.29159375 |
transcript.pyannote[1137].speaker |
SPEAKER_03 |
transcript.pyannote[1137].start |
10185.44346875 |
transcript.pyannote[1137].end |
10189.03784375 |
transcript.pyannote[1138].speaker |
SPEAKER_06 |
transcript.pyannote[1138].start |
10189.03784375 |
transcript.pyannote[1138].end |
10189.25721875 |
transcript.pyannote[1139].speaker |
SPEAKER_13 |
transcript.pyannote[1139].start |
10190.01659375 |
transcript.pyannote[1139].end |
10191.11346875 |
transcript.pyannote[1140].speaker |
SPEAKER_06 |
transcript.pyannote[1140].start |
10190.74221875 |
transcript.pyannote[1140].end |
10195.56846875 |
transcript.pyannote[1141].speaker |
SPEAKER_06 |
transcript.pyannote[1141].start |
10550.04471875 |
transcript.pyannote[1141].end |
10551.17534375 |
transcript.pyannote[1142].speaker |
SPEAKER_06 |
transcript.pyannote[1142].start |
10554.09471875 |
transcript.pyannote[1142].end |
10557.65534375 |
transcript.pyannote[1143].speaker |
SPEAKER_02 |
transcript.pyannote[1143].start |
10567.89846875 |
transcript.pyannote[1143].end |
10569.36659375 |
transcript.pyannote[1144].speaker |
SPEAKER_02 |
transcript.pyannote[1144].start |
10570.05846875 |
transcript.pyannote[1144].end |
10573.07909375 |
transcript.pyannote[1145].speaker |
SPEAKER_02 |
transcript.pyannote[1145].start |
10573.41659375 |
transcript.pyannote[1145].end |
10573.92284375 |
transcript.pyannote[1146].speaker |
SPEAKER_06 |
transcript.pyannote[1146].start |
10573.92284375 |
transcript.pyannote[1146].end |
10574.64846875 |
transcript.pyannote[1147].speaker |
SPEAKER_06 |
transcript.pyannote[1147].start |
10579.84596875 |
transcript.pyannote[1147].end |
10579.94721875 |
transcript.pyannote[1148].speaker |
SPEAKER_02 |
transcript.pyannote[1148].start |
10579.94721875 |
transcript.pyannote[1148].end |
10580.33534375 |
transcript.pyannote[1149].speaker |
SPEAKER_06 |
transcript.pyannote[1149].start |
10579.96409375 |
transcript.pyannote[1149].end |
10580.28471875 |
transcript.pyannote[1150].speaker |
SPEAKER_06 |
transcript.pyannote[1150].start |
10580.33534375 |
transcript.pyannote[1150].end |
10580.43659375 |
transcript.pyannote[1151].speaker |
SPEAKER_02 |
transcript.pyannote[1151].start |
10580.43659375 |
transcript.pyannote[1151].end |
10581.39846875 |
transcript.pyannote[1152].speaker |
SPEAKER_02 |
transcript.pyannote[1152].start |
10581.41534375 |
transcript.pyannote[1152].end |
10581.43221875 |
transcript.pyannote[1153].speaker |
SPEAKER_02 |
transcript.pyannote[1153].start |
10581.44909375 |
transcript.pyannote[1153].end |
10581.80346875 |
transcript.pyannote[1154].speaker |
SPEAKER_02 |
transcript.pyannote[1154].start |
10581.92159375 |
transcript.pyannote[1154].end |
10585.29659375 |
transcript.pyannote[1155].speaker |
SPEAKER_02 |
transcript.pyannote[1155].start |
10585.68471875 |
transcript.pyannote[1155].end |
10590.00471875 |
transcript.pyannote[1156].speaker |
SPEAKER_02 |
transcript.pyannote[1156].start |
10590.69659375 |
transcript.pyannote[1156].end |
10591.79346875 |
transcript.pyannote[1157].speaker |
SPEAKER_02 |
transcript.pyannote[1157].start |
10592.73846875 |
transcript.pyannote[1157].end |
10595.60721875 |
transcript.pyannote[1158].speaker |
SPEAKER_02 |
transcript.pyannote[1158].start |
10596.26534375 |
transcript.pyannote[1158].end |
10598.15534375 |
transcript.pyannote[1159].speaker |
SPEAKER_02 |
transcript.pyannote[1159].start |
10598.77971875 |
transcript.pyannote[1159].end |
10599.77534375 |
transcript.pyannote[1160].speaker |
SPEAKER_02 |
transcript.pyannote[1160].start |
10601.32784375 |
transcript.pyannote[1160].end |
10602.35721875 |
transcript.pyannote[1161].speaker |
SPEAKER_02 |
transcript.pyannote[1161].start |
10602.84659375 |
transcript.pyannote[1161].end |
10604.70284375 |
transcript.pyannote[1162].speaker |
SPEAKER_02 |
transcript.pyannote[1162].start |
10605.25971875 |
transcript.pyannote[1162].end |
10605.98534375 |
transcript.pyannote[1163].speaker |
SPEAKER_02 |
transcript.pyannote[1163].start |
10606.44096875 |
transcript.pyannote[1163].end |
10613.47784375 |
transcript.pyannote[1164].speaker |
SPEAKER_02 |
transcript.pyannote[1164].start |
10613.83221875 |
transcript.pyannote[1164].end |
10616.21159375 |
transcript.pyannote[1165].speaker |
SPEAKER_02 |
transcript.pyannote[1165].start |
10617.35909375 |
transcript.pyannote[1165].end |
10623.56909375 |
transcript.pyannote[1166].speaker |
SPEAKER_02 |
transcript.pyannote[1166].start |
10624.17659375 |
transcript.pyannote[1166].end |
10624.91909375 |
transcript.pyannote[1167].speaker |
SPEAKER_02 |
transcript.pyannote[1167].start |
10625.18909375 |
transcript.pyannote[1167].end |
10626.38721875 |
transcript.pyannote[1168].speaker |
SPEAKER_02 |
transcript.pyannote[1168].start |
10627.45034375 |
transcript.pyannote[1168].end |
10629.47534375 |
transcript.pyannote[1169].speaker |
SPEAKER_02 |
transcript.pyannote[1169].start |
10630.96034375 |
transcript.pyannote[1169].end |
10631.58471875 |
transcript.pyannote[1170].speaker |
SPEAKER_02 |
transcript.pyannote[1170].start |
10632.04034375 |
transcript.pyannote[1170].end |
10633.81221875 |
transcript.pyannote[1171].speaker |
SPEAKER_02 |
transcript.pyannote[1171].start |
10634.58846875 |
transcript.pyannote[1171].end |
10637.17034375 |
transcript.pyannote[1172].speaker |
SPEAKER_02 |
transcript.pyannote[1172].start |
10637.98034375 |
transcript.pyannote[1172].end |
10643.83596875 |
transcript.pyannote[1173].speaker |
SPEAKER_02 |
transcript.pyannote[1173].start |
10644.51096875 |
transcript.pyannote[1173].end |
10647.36284375 |
transcript.pyannote[1174].speaker |
SPEAKER_02 |
transcript.pyannote[1174].start |
10648.39221875 |
transcript.pyannote[1174].end |
10650.63659375 |
transcript.pyannote[1175].speaker |
SPEAKER_02 |
transcript.pyannote[1175].start |
10651.54784375 |
transcript.pyannote[1175].end |
10653.38721875 |
transcript.pyannote[1176].speaker |
SPEAKER_02 |
transcript.pyannote[1176].start |
10654.56846875 |
transcript.pyannote[1176].end |
10657.33596875 |
transcript.pyannote[1177].speaker |
SPEAKER_02 |
transcript.pyannote[1177].start |
10657.99409375 |
transcript.pyannote[1177].end |
10658.75346875 |
transcript.pyannote[1178].speaker |
SPEAKER_02 |
transcript.pyannote[1178].start |
10660.81221875 |
transcript.pyannote[1178].end |
10668.84471875 |
transcript.pyannote[1179].speaker |
SPEAKER_02 |
transcript.pyannote[1179].start |
10669.43534375 |
transcript.pyannote[1179].end |
10673.28284375 |
transcript.pyannote[1180].speaker |
SPEAKER_02 |
transcript.pyannote[1180].start |
10673.85659375 |
transcript.pyannote[1180].end |
10676.67471875 |
transcript.pyannote[1181].speaker |
SPEAKER_02 |
transcript.pyannote[1181].start |
10677.02909375 |
transcript.pyannote[1181].end |
10677.82221875 |
transcript.pyannote[1182].speaker |
SPEAKER_02 |
transcript.pyannote[1182].start |
10678.12596875 |
transcript.pyannote[1182].end |
10681.43346875 |
transcript.pyannote[1183].speaker |
SPEAKER_02 |
transcript.pyannote[1183].start |
10681.85534375 |
transcript.pyannote[1183].end |
10682.36159375 |
transcript.pyannote[1184].speaker |
SPEAKER_02 |
transcript.pyannote[1184].start |
10682.71596875 |
transcript.pyannote[1184].end |
10683.81284375 |
transcript.pyannote[1185].speaker |
SPEAKER_02 |
transcript.pyannote[1185].start |
10683.94784375 |
transcript.pyannote[1185].end |
10684.63971875 |
transcript.pyannote[1186].speaker |
SPEAKER_02 |
transcript.pyannote[1186].start |
10685.07846875 |
transcript.pyannote[1186].end |
10685.90534375 |
transcript.pyannote[1187].speaker |
SPEAKER_02 |
transcript.pyannote[1187].start |
10686.36096875 |
transcript.pyannote[1187].end |
10687.30596875 |
transcript.pyannote[1188].speaker |
SPEAKER_02 |
transcript.pyannote[1188].start |
10687.62659375 |
transcript.pyannote[1188].end |
10688.63909375 |
transcript.pyannote[1189].speaker |
SPEAKER_02 |
transcript.pyannote[1189].start |
10689.58409375 |
transcript.pyannote[1189].end |
10690.02284375 |
transcript.pyannote[1190].speaker |
SPEAKER_02 |
transcript.pyannote[1190].start |
10691.69346875 |
transcript.pyannote[1190].end |
10693.44846875 |
transcript.pyannote[1191].speaker |
SPEAKER_02 |
transcript.pyannote[1191].start |
10693.71846875 |
transcript.pyannote[1191].end |
10694.88284375 |
transcript.pyannote[1192].speaker |
SPEAKER_02 |
transcript.pyannote[1192].start |
10695.47346875 |
transcript.pyannote[1192].end |
10696.43534375 |
transcript.pyannote[1193].speaker |
SPEAKER_02 |
transcript.pyannote[1193].start |
10696.70534375 |
transcript.pyannote[1193].end |
10698.32534375 |
transcript.pyannote[1194].speaker |
SPEAKER_02 |
transcript.pyannote[1194].start |
10698.94971875 |
transcript.pyannote[1194].end |
10703.25284375 |
transcript.pyannote[1195].speaker |
SPEAKER_02 |
transcript.pyannote[1195].start |
10704.31596875 |
transcript.pyannote[1195].end |
10707.04971875 |
transcript.pyannote[1196].speaker |
SPEAKER_02 |
transcript.pyannote[1196].start |
10707.28596875 |
transcript.pyannote[1196].end |
10713.51284375 |
transcript.pyannote[1197].speaker |
SPEAKER_02 |
transcript.pyannote[1197].start |
10714.08659375 |
transcript.pyannote[1197].end |
10714.54221875 |
transcript.pyannote[1198].speaker |
SPEAKER_02 |
transcript.pyannote[1198].start |
10715.20034375 |
transcript.pyannote[1198].end |
10718.27159375 |
transcript.pyannote[1199].speaker |
SPEAKER_02 |
transcript.pyannote[1199].start |
10718.50784375 |
transcript.pyannote[1199].end |
10722.37221875 |
transcript.pyannote[1200].speaker |
SPEAKER_02 |
transcript.pyannote[1200].start |
10723.03034375 |
transcript.pyannote[1200].end |
10723.38471875 |
transcript.pyannote[1201].speaker |
SPEAKER_02 |
transcript.pyannote[1201].start |
10723.82346875 |
transcript.pyannote[1201].end |
10726.10159375 |
transcript.pyannote[1202].speaker |
SPEAKER_02 |
transcript.pyannote[1202].start |
10726.23659375 |
transcript.pyannote[1202].end |
10728.05909375 |
transcript.pyannote[1203].speaker |
SPEAKER_02 |
transcript.pyannote[1203].start |
10728.29534375 |
transcript.pyannote[1203].end |
10729.05471875 |
transcript.pyannote[1204].speaker |
SPEAKER_02 |
transcript.pyannote[1204].start |
10729.47659375 |
transcript.pyannote[1204].end |
10732.48034375 |
transcript.pyannote[1205].speaker |
SPEAKER_02 |
transcript.pyannote[1205].start |
10732.71659375 |
transcript.pyannote[1205].end |
10734.65721875 |
transcript.pyannote[1206].speaker |
SPEAKER_02 |
transcript.pyannote[1206].start |
10734.94409375 |
transcript.pyannote[1206].end |
10736.39534375 |
transcript.pyannote[1207].speaker |
SPEAKER_02 |
transcript.pyannote[1207].start |
10736.64846875 |
transcript.pyannote[1207].end |
10738.75784375 |
transcript.pyannote[1208].speaker |
SPEAKER_02 |
transcript.pyannote[1208].start |
10738.92659375 |
transcript.pyannote[1208].end |
10742.18346875 |
transcript.pyannote[1209].speaker |
SPEAKER_02 |
transcript.pyannote[1209].start |
10743.01034375 |
transcript.pyannote[1209].end |
10745.52471875 |
transcript.pyannote[1210].speaker |
SPEAKER_02 |
transcript.pyannote[1210].start |
10746.33471875 |
transcript.pyannote[1210].end |
10749.22034375 |
transcript.pyannote[1211].speaker |
SPEAKER_02 |
transcript.pyannote[1211].start |
10749.55784375 |
transcript.pyannote[1211].end |
10752.59534375 |
transcript.pyannote[1212].speaker |
SPEAKER_02 |
transcript.pyannote[1212].start |
10752.91596875 |
transcript.pyannote[1212].end |
10756.94909375 |
transcript.pyannote[1213].speaker |
SPEAKER_02 |
transcript.pyannote[1213].start |
10757.28659375 |
transcript.pyannote[1213].end |
10757.72534375 |
transcript.pyannote[1214].speaker |
SPEAKER_02 |
transcript.pyannote[1214].start |
10758.11346875 |
transcript.pyannote[1214].end |
10758.68721875 |
transcript.pyannote[1215].speaker |
SPEAKER_02 |
transcript.pyannote[1215].start |
10759.88534375 |
transcript.pyannote[1215].end |
10760.89784375 |
transcript.pyannote[1216].speaker |
SPEAKER_02 |
transcript.pyannote[1216].start |
10761.16784375 |
transcript.pyannote[1216].end |
10761.99471875 |
transcript.pyannote[1217].speaker |
SPEAKER_02 |
transcript.pyannote[1217].start |
10763.76659375 |
transcript.pyannote[1217].end |
10766.71971875 |
transcript.pyannote[1218].speaker |
SPEAKER_02 |
transcript.pyannote[1218].start |
10767.44534375 |
transcript.pyannote[1218].end |
10773.53721875 |
transcript.pyannote[1219].speaker |
SPEAKER_02 |
transcript.pyannote[1219].start |
10774.24596875 |
transcript.pyannote[1219].end |
10778.80221875 |
transcript.pyannote[1220].speaker |
SPEAKER_02 |
transcript.pyannote[1220].start |
10780.16909375 |
transcript.pyannote[1220].end |
10788.04971875 |
transcript.pyannote[1221].speaker |
SPEAKER_02 |
transcript.pyannote[1221].start |
10788.08346875 |
transcript.pyannote[1221].end |
10790.09159375 |
transcript.pyannote[1222].speaker |
SPEAKER_02 |
transcript.pyannote[1222].start |
10790.49659375 |
transcript.pyannote[1222].end |
10795.01909375 |
transcript.pyannote[1223].speaker |
SPEAKER_02 |
transcript.pyannote[1223].start |
10795.52534375 |
transcript.pyannote[1223].end |
10796.82471875 |
transcript.pyannote[1224].speaker |
SPEAKER_02 |
transcript.pyannote[1224].start |
10798.17471875 |
transcript.pyannote[1224].end |
10801.48221875 |
transcript.pyannote[1225].speaker |
SPEAKER_02 |
transcript.pyannote[1225].start |
10802.14034375 |
transcript.pyannote[1225].end |
10803.45659375 |
transcript.pyannote[1226].speaker |
SPEAKER_02 |
transcript.pyannote[1226].start |
10804.24971875 |
transcript.pyannote[1226].end |
10806.25784375 |
transcript.pyannote[1227].speaker |
SPEAKER_02 |
transcript.pyannote[1227].start |
10806.76409375 |
transcript.pyannote[1227].end |
10807.86096875 |
transcript.pyannote[1228].speaker |
SPEAKER_02 |
transcript.pyannote[1228].start |
10808.36721875 |
transcript.pyannote[1228].end |
10809.49784375 |
transcript.pyannote[1229].speaker |
SPEAKER_02 |
transcript.pyannote[1229].start |
10810.05471875 |
transcript.pyannote[1229].end |
10810.61159375 |
transcript.pyannote[1230].speaker |
SPEAKER_02 |
transcript.pyannote[1230].start |
10810.96596875 |
transcript.pyannote[1230].end |
10814.12159375 |
transcript.pyannote[1231].speaker |
SPEAKER_02 |
transcript.pyannote[1231].start |
10814.45909375 |
transcript.pyannote[1231].end |
10821.12471875 |
transcript.pyannote[1232].speaker |
SPEAKER_02 |
transcript.pyannote[1232].start |
10821.37784375 |
transcript.pyannote[1232].end |
10835.01284375 |
transcript.pyannote[1233].speaker |
SPEAKER_02 |
transcript.pyannote[1233].start |
10835.56971875 |
transcript.pyannote[1233].end |
10839.06284375 |
transcript.pyannote[1234].speaker |
SPEAKER_02 |
transcript.pyannote[1234].start |
10839.50159375 |
transcript.pyannote[1234].end |
10842.16784375 |
transcript.pyannote[1235].speaker |
SPEAKER_02 |
transcript.pyannote[1235].start |
10842.21846875 |
transcript.pyannote[1235].end |
10842.62346875 |
transcript.pyannote[1236].speaker |
SPEAKER_02 |
transcript.pyannote[1236].start |
10842.91034375 |
transcript.pyannote[1236].end |
10845.37409375 |
transcript.pyannote[1237].speaker |
SPEAKER_02 |
transcript.pyannote[1237].start |
10845.81284375 |
transcript.pyannote[1237].end |
10849.25534375 |
transcript.pyannote[1238].speaker |
SPEAKER_02 |
transcript.pyannote[1238].start |
10850.13284375 |
transcript.pyannote[1238].end |
10851.34784375 |
transcript.pyannote[1239].speaker |
SPEAKER_02 |
transcript.pyannote[1239].start |
10852.05659375 |
transcript.pyannote[1239].end |
10858.23284375 |
transcript.pyannote[1240].speaker |
SPEAKER_02 |
transcript.pyannote[1240].start |
10858.63784375 |
transcript.pyannote[1240].end |
10861.33784375 |
transcript.pyannote[1241].speaker |
SPEAKER_02 |
transcript.pyannote[1241].start |
10861.96221875 |
transcript.pyannote[1241].end |
10865.28659375 |
transcript.pyannote[1242].speaker |
SPEAKER_02 |
transcript.pyannote[1242].start |
10866.33284375 |
transcript.pyannote[1242].end |
10867.17659375 |
transcript.pyannote[1243].speaker |
SPEAKER_13 |
transcript.pyannote[1243].start |
10869.03284375 |
transcript.pyannote[1243].end |
10941.15659375 |
transcript.pyannote[1244].speaker |
SPEAKER_21 |
transcript.pyannote[1244].start |
10923.21846875 |
transcript.pyannote[1244].end |
10924.41659375 |
transcript.pyannote[1245].speaker |
SPEAKER_02 |
transcript.pyannote[1245].start |
10930.50846875 |
transcript.pyannote[1245].end |
10931.41971875 |
transcript.pyannote[1246].speaker |
SPEAKER_02 |
transcript.pyannote[1246].start |
10933.86659375 |
transcript.pyannote[1246].end |
10935.99284375 |
transcript.pyannote[1247].speaker |
SPEAKER_02 |
transcript.pyannote[1247].start |
10939.80659375 |
transcript.pyannote[1247].end |
10946.30346875 |
transcript.pyannote[1248].speaker |
SPEAKER_02 |
transcript.pyannote[1248].start |
10946.57346875 |
transcript.pyannote[1248].end |
10953.32346875 |
transcript.pyannote[1249].speaker |
SPEAKER_02 |
transcript.pyannote[1249].start |
10954.52159375 |
transcript.pyannote[1249].end |
10955.60159375 |
transcript.pyannote[1250].speaker |
SPEAKER_02 |
transcript.pyannote[1250].start |
10955.93909375 |
transcript.pyannote[1250].end |
10958.20034375 |
transcript.pyannote[1251].speaker |
SPEAKER_02 |
transcript.pyannote[1251].start |
10958.55471875 |
transcript.pyannote[1251].end |
10962.60471875 |
transcript.pyannote[1252].speaker |
SPEAKER_02 |
transcript.pyannote[1252].start |
10963.04346875 |
transcript.pyannote[1252].end |
10967.97096875 |
transcript.pyannote[1253].speaker |
SPEAKER_02 |
transcript.pyannote[1253].start |
10968.74721875 |
transcript.pyannote[1253].end |
10969.18596875 |
transcript.pyannote[1254].speaker |
SPEAKER_02 |
transcript.pyannote[1254].start |
10969.37159375 |
transcript.pyannote[1254].end |
10970.68784375 |
transcript.pyannote[1255].speaker |
SPEAKER_02 |
transcript.pyannote[1255].start |
10971.16034375 |
transcript.pyannote[1255].end |
10975.86846875 |
transcript.pyannote[1256].speaker |
SPEAKER_02 |
transcript.pyannote[1256].start |
10976.22284375 |
transcript.pyannote[1256].end |
10980.45846875 |
transcript.pyannote[1257].speaker |
SPEAKER_02 |
transcript.pyannote[1257].start |
10980.71159375 |
transcript.pyannote[1257].end |
10982.73659375 |
transcript.pyannote[1258].speaker |
SPEAKER_02 |
transcript.pyannote[1258].start |
10983.24284375 |
transcript.pyannote[1258].end |
10985.63909375 |
transcript.pyannote[1259].speaker |
SPEAKER_02 |
transcript.pyannote[1259].start |
10986.38159375 |
transcript.pyannote[1259].end |
10991.14034375 |
transcript.pyannote[1260].speaker |
SPEAKER_02 |
transcript.pyannote[1260].start |
10991.52846875 |
transcript.pyannote[1260].end |
11000.11784375 |
transcript.pyannote[1261].speaker |
SPEAKER_02 |
transcript.pyannote[1261].start |
11000.40471875 |
transcript.pyannote[1261].end |
11002.53096875 |
transcript.pyannote[1262].speaker |
SPEAKER_02 |
transcript.pyannote[1262].start |
11003.03721875 |
transcript.pyannote[1262].end |
11006.22659375 |
transcript.pyannote[1263].speaker |
SPEAKER_02 |
transcript.pyannote[1263].start |
11006.63159375 |
transcript.pyannote[1263].end |
11009.88846875 |
transcript.pyannote[1264].speaker |
SPEAKER_02 |
transcript.pyannote[1264].start |
11010.09096875 |
transcript.pyannote[1264].end |
11011.00221875 |
transcript.pyannote[1265].speaker |
SPEAKER_02 |
transcript.pyannote[1265].start |
11011.23846875 |
transcript.pyannote[1265].end |
11013.87096875 |
transcript.pyannote[1266].speaker |
SPEAKER_02 |
transcript.pyannote[1266].start |
11014.03971875 |
transcript.pyannote[1266].end |
11014.88346875 |
transcript.pyannote[1267].speaker |
SPEAKER_02 |
transcript.pyannote[1267].start |
11015.40659375 |
transcript.pyannote[1267].end |
11017.43159375 |
transcript.pyannote[1268].speaker |
SPEAKER_02 |
transcript.pyannote[1268].start |
11017.98846875 |
transcript.pyannote[1268].end |
11018.89971875 |
transcript.pyannote[1269].speaker |
SPEAKER_02 |
transcript.pyannote[1269].start |
11019.47346875 |
transcript.pyannote[1269].end |
11024.21534375 |
transcript.pyannote[1270].speaker |
SPEAKER_02 |
transcript.pyannote[1270].start |
11024.33346875 |
transcript.pyannote[1270].end |
11026.99971875 |
transcript.pyannote[1271].speaker |
SPEAKER_02 |
transcript.pyannote[1271].start |
11028.18096875 |
transcript.pyannote[1271].end |
11030.76284375 |
transcript.pyannote[1272].speaker |
SPEAKER_02 |
transcript.pyannote[1272].start |
11031.21846875 |
transcript.pyannote[1272].end |
11032.75409375 |
transcript.pyannote[1273].speaker |
SPEAKER_02 |
transcript.pyannote[1273].start |
11033.53034375 |
transcript.pyannote[1273].end |
11038.17096875 |
transcript.pyannote[1274].speaker |
SPEAKER_02 |
transcript.pyannote[1274].start |
11038.66034375 |
transcript.pyannote[1274].end |
11042.37284375 |
transcript.pyannote[1275].speaker |
SPEAKER_02 |
transcript.pyannote[1275].start |
11042.71034375 |
transcript.pyannote[1275].end |
11047.01346875 |
transcript.pyannote[1276].speaker |
SPEAKER_02 |
transcript.pyannote[1276].start |
11047.53659375 |
transcript.pyannote[1276].end |
11049.17346875 |
transcript.pyannote[1277].speaker |
SPEAKER_02 |
transcript.pyannote[1277].start |
11049.67971875 |
transcript.pyannote[1277].end |
11050.94534375 |
transcript.pyannote[1278].speaker |
SPEAKER_02 |
transcript.pyannote[1278].start |
11051.08034375 |
transcript.pyannote[1278].end |
11051.83971875 |
transcript.pyannote[1279].speaker |
SPEAKER_02 |
transcript.pyannote[1279].start |
11052.37971875 |
transcript.pyannote[1279].end |
11054.06721875 |
transcript.pyannote[1280].speaker |
SPEAKER_02 |
transcript.pyannote[1280].start |
11054.47221875 |
transcript.pyannote[1280].end |
11059.04534375 |
transcript.pyannote[1281].speaker |
SPEAKER_02 |
transcript.pyannote[1281].start |
11059.41659375 |
transcript.pyannote[1281].end |
11061.57659375 |
transcript.pyannote[1282].speaker |
SPEAKER_02 |
transcript.pyannote[1282].start |
11061.93096875 |
transcript.pyannote[1282].end |
11064.41159375 |
transcript.pyannote[1283].speaker |
SPEAKER_02 |
transcript.pyannote[1283].start |
11064.56346875 |
transcript.pyannote[1283].end |
11066.85846875 |
transcript.pyannote[1284].speaker |
SPEAKER_02 |
transcript.pyannote[1284].start |
11067.28034375 |
transcript.pyannote[1284].end |
11069.15346875 |
transcript.pyannote[1285].speaker |
SPEAKER_02 |
transcript.pyannote[1285].start |
11069.37284375 |
transcript.pyannote[1285].end |
11071.33034375 |
transcript.pyannote[1286].speaker |
SPEAKER_02 |
transcript.pyannote[1286].start |
11072.14034375 |
transcript.pyannote[1286].end |
11075.44784375 |
transcript.pyannote[1287].speaker |
SPEAKER_02 |
transcript.pyannote[1287].start |
11076.00471875 |
transcript.pyannote[1287].end |
11076.39284375 |
transcript.pyannote[1288].speaker |
SPEAKER_02 |
transcript.pyannote[1288].start |
11076.78096875 |
transcript.pyannote[1288].end |
11084.05409375 |
transcript.pyannote[1289].speaker |
SPEAKER_02 |
transcript.pyannote[1289].start |
11084.32409375 |
transcript.pyannote[1289].end |
11093.94284375 |
transcript.pyannote[1290].speaker |
SPEAKER_02 |
transcript.pyannote[1290].start |
11094.38159375 |
transcript.pyannote[1290].end |
11095.25909375 |
transcript.pyannote[1291].speaker |
SPEAKER_02 |
transcript.pyannote[1291].start |
11096.81159375 |
transcript.pyannote[1291].end |
11104.05096875 |
transcript.pyannote[1292].speaker |
SPEAKER_02 |
transcript.pyannote[1292].start |
11104.28721875 |
transcript.pyannote[1292].end |
11107.86471875 |
transcript.pyannote[1293].speaker |
SPEAKER_02 |
transcript.pyannote[1293].start |
11109.06284375 |
transcript.pyannote[1293].end |
11110.12596875 |
transcript.pyannote[1294].speaker |
SPEAKER_13 |
transcript.pyannote[1294].start |
11111.29034375 |
transcript.pyannote[1294].end |
11136.73784375 |
transcript.pyannote[1295].speaker |
SPEAKER_13 |
transcript.pyannote[1295].start |
11137.96971875 |
transcript.pyannote[1295].end |
11138.34096875 |
transcript.pyannote[1296].speaker |
SPEAKER_13 |
transcript.pyannote[1296].start |
11138.93159375 |
transcript.pyannote[1296].end |
11146.22159375 |
transcript.pyannote[1297].speaker |
SPEAKER_02 |
transcript.pyannote[1297].start |
11143.94346875 |
transcript.pyannote[1297].end |
11149.27596875 |
transcript.pyannote[1298].speaker |
SPEAKER_13 |
transcript.pyannote[1298].start |
11146.60971875 |
transcript.pyannote[1298].end |
11147.68971875 |
transcript.pyannote[1299].speaker |
SPEAKER_02 |
transcript.pyannote[1299].start |
11150.00159375 |
transcript.pyannote[1299].end |
11151.33471875 |
transcript.pyannote[1300].speaker |
SPEAKER_02 |
transcript.pyannote[1300].start |
11151.94221875 |
transcript.pyannote[1300].end |
11153.14034375 |
transcript.pyannote[1301].speaker |
SPEAKER_02 |
transcript.pyannote[1301].start |
11153.86596875 |
transcript.pyannote[1301].end |
11155.35096875 |
transcript.pyannote[1302].speaker |
SPEAKER_02 |
transcript.pyannote[1302].start |
11155.84034375 |
transcript.pyannote[1302].end |
11158.18596875 |
transcript.pyannote[1303].speaker |
SPEAKER_02 |
transcript.pyannote[1303].start |
11158.48971875 |
transcript.pyannote[1303].end |
11164.34534375 |
transcript.pyannote[1304].speaker |
SPEAKER_02 |
transcript.pyannote[1304].start |
11164.75034375 |
transcript.pyannote[1304].end |
11178.75659375 |
transcript.pyannote[1305].speaker |
SPEAKER_02 |
transcript.pyannote[1305].start |
11179.26284375 |
transcript.pyannote[1305].end |
11181.76034375 |
transcript.pyannote[1306].speaker |
SPEAKER_02 |
transcript.pyannote[1306].start |
11182.24971875 |
transcript.pyannote[1306].end |
11183.32971875 |
transcript.pyannote[1307].speaker |
SPEAKER_02 |
transcript.pyannote[1307].start |
11184.15659375 |
transcript.pyannote[1307].end |
11197.38659375 |
transcript.pyannote[1308].speaker |
SPEAKER_02 |
transcript.pyannote[1308].start |
11198.26409375 |
transcript.pyannote[1308].end |
11199.73221875 |
transcript.pyannote[1309].speaker |
SPEAKER_02 |
transcript.pyannote[1309].start |
11200.22159375 |
transcript.pyannote[1309].end |
11202.39846875 |
transcript.pyannote[1310].speaker |
SPEAKER_02 |
transcript.pyannote[1310].start |
11202.80346875 |
transcript.pyannote[1310].end |
11206.16159375 |
transcript.pyannote[1311].speaker |
SPEAKER_13 |
transcript.pyannote[1311].start |
11206.46534375 |
transcript.pyannote[1311].end |
11208.74346875 |
transcript.pyannote[1312].speaker |
SPEAKER_13 |
transcript.pyannote[1312].start |
11209.57034375 |
transcript.pyannote[1312].end |
11227.67721875 |
transcript.pyannote[1313].speaker |
SPEAKER_02 |
transcript.pyannote[1313].start |
11224.03221875 |
transcript.pyannote[1313].end |
11245.85159375 |
transcript.pyannote[1314].speaker |
SPEAKER_13 |
transcript.pyannote[1314].start |
11243.74221875 |
transcript.pyannote[1314].end |
11244.29909375 |
transcript.pyannote[1315].speaker |
SPEAKER_13 |
transcript.pyannote[1315].start |
11245.12596875 |
transcript.pyannote[1315].end |
11269.81409375 |
transcript.pyannote[1316].speaker |
SPEAKER_05 |
transcript.pyannote[1316].start |
11254.23846875 |
transcript.pyannote[1316].end |
11254.37346875 |
transcript.pyannote[1317].speaker |
SPEAKER_02 |
transcript.pyannote[1317].start |
11267.89034375 |
transcript.pyannote[1317].end |
11276.91846875 |
transcript.pyannote[1318].speaker |
SPEAKER_13 |
transcript.pyannote[1318].start |
11271.87284375 |
transcript.pyannote[1318].end |
11273.02034375 |
transcript.pyannote[1319].speaker |
SPEAKER_02 |
transcript.pyannote[1319].start |
11277.32346875 |
transcript.pyannote[1319].end |
11279.55096875 |
transcript.pyannote[1320].speaker |
SPEAKER_02 |
transcript.pyannote[1320].start |
11280.17534375 |
transcript.pyannote[1320].end |
11297.70846875 |
transcript.pyannote[1321].speaker |
SPEAKER_00 |
transcript.pyannote[1321].start |
11285.55846875 |
transcript.pyannote[1321].end |
11286.03096875 |
transcript.pyannote[1322].speaker |
SPEAKER_13 |
transcript.pyannote[1322].start |
11286.03096875 |
transcript.pyannote[1322].end |
11287.43159375 |
transcript.pyannote[1323].speaker |
SPEAKER_13 |
transcript.pyannote[1323].start |
11294.77221875 |
transcript.pyannote[1323].end |
11298.78846875 |
transcript.pyannote[1324].speaker |
SPEAKER_02 |
transcript.pyannote[1324].start |
11298.19784375 |
transcript.pyannote[1324].end |
11298.90659375 |
transcript.pyannote[1325].speaker |
SPEAKER_13 |
transcript.pyannote[1325].start |
11298.90659375 |
transcript.pyannote[1325].end |
11299.04159375 |
transcript.pyannote[1326].speaker |
SPEAKER_02 |
transcript.pyannote[1326].start |
11299.04159375 |
transcript.pyannote[1326].end |
11314.95471875 |
transcript.pyannote[1327].speaker |
SPEAKER_13 |
transcript.pyannote[1327].start |
11306.83784375 |
transcript.pyannote[1327].end |
11307.88409375 |
transcript.pyannote[1328].speaker |
SPEAKER_02 |
transcript.pyannote[1328].start |
11316.01784375 |
transcript.pyannote[1328].end |
11319.32534375 |
transcript.pyannote[1329].speaker |
SPEAKER_13 |
transcript.pyannote[1329].start |
11319.32534375 |
transcript.pyannote[1329].end |
11324.84346875 |
transcript.pyannote[1330].speaker |
SPEAKER_02 |
transcript.pyannote[1330].start |
11322.53159375 |
transcript.pyannote[1330].end |
11328.11721875 |
transcript.pyannote[1331].speaker |
SPEAKER_02 |
transcript.pyannote[1331].start |
11328.33659375 |
transcript.pyannote[1331].end |
11338.90034375 |
transcript.pyannote[1332].speaker |
SPEAKER_02 |
transcript.pyannote[1332].start |
11339.11971875 |
transcript.pyannote[1332].end |
11345.34659375 |
transcript.pyannote[1333].speaker |
SPEAKER_02 |
transcript.pyannote[1333].start |
11345.73471875 |
transcript.pyannote[1333].end |
11347.03409375 |
transcript.pyannote[1334].speaker |
SPEAKER_02 |
transcript.pyannote[1334].start |
11347.50659375 |
transcript.pyannote[1334].end |
11353.68284375 |
transcript.pyannote[1335].speaker |
SPEAKER_02 |
transcript.pyannote[1335].start |
11355.11721875 |
transcript.pyannote[1335].end |
11356.53471875 |
transcript.pyannote[1336].speaker |
SPEAKER_02 |
transcript.pyannote[1336].start |
11356.87221875 |
transcript.pyannote[1336].end |
11359.89284375 |
transcript.pyannote[1337].speaker |
SPEAKER_02 |
transcript.pyannote[1337].start |
11360.39909375 |
transcript.pyannote[1337].end |
11365.86659375 |
transcript.pyannote[1338].speaker |
SPEAKER_02 |
transcript.pyannote[1338].start |
11366.55846875 |
transcript.pyannote[1338].end |
11369.02221875 |
transcript.pyannote[1339].speaker |
SPEAKER_02 |
transcript.pyannote[1339].start |
11369.24159375 |
transcript.pyannote[1339].end |
11371.65471875 |
transcript.pyannote[1340].speaker |
SPEAKER_02 |
transcript.pyannote[1340].start |
11372.54909375 |
transcript.pyannote[1340].end |
11373.08909375 |
transcript.pyannote[1341].speaker |
SPEAKER_02 |
transcript.pyannote[1341].start |
11373.39284375 |
transcript.pyannote[1341].end |
11380.75034375 |
transcript.pyannote[1342].speaker |
SPEAKER_02 |
transcript.pyannote[1342].start |
11381.23971875 |
transcript.pyannote[1342].end |
11382.92721875 |
transcript.pyannote[1343].speaker |
SPEAKER_02 |
transcript.pyannote[1343].start |
11383.19721875 |
transcript.pyannote[1343].end |
11387.26409375 |
transcript.pyannote[1344].speaker |
SPEAKER_02 |
transcript.pyannote[1344].start |
11387.39909375 |
transcript.pyannote[1344].end |
11388.66471875 |
transcript.pyannote[1345].speaker |
SPEAKER_02 |
transcript.pyannote[1345].start |
11389.23846875 |
transcript.pyannote[1345].end |
11390.16659375 |
transcript.pyannote[1346].speaker |
SPEAKER_02 |
transcript.pyannote[1346].start |
11391.07784375 |
transcript.pyannote[1346].end |
11392.10721875 |
transcript.pyannote[1347].speaker |
SPEAKER_02 |
transcript.pyannote[1347].start |
11392.54596875 |
transcript.pyannote[1347].end |
11393.94659375 |
transcript.pyannote[1348].speaker |
SPEAKER_02 |
transcript.pyannote[1348].start |
11395.43159375 |
transcript.pyannote[1348].end |
11396.88284375 |
transcript.pyannote[1349].speaker |
SPEAKER_02 |
transcript.pyannote[1349].start |
11397.57471875 |
transcript.pyannote[1349].end |
11401.52346875 |
transcript.pyannote[1350].speaker |
SPEAKER_12 |
transcript.pyannote[1350].start |
11397.94596875 |
transcript.pyannote[1350].end |
11400.46034375 |
transcript.pyannote[1351].speaker |
SPEAKER_12 |
transcript.pyannote[1351].start |
11401.70909375 |
transcript.pyannote[1351].end |
11402.13096875 |
transcript.pyannote[1352].speaker |
SPEAKER_02 |
transcript.pyannote[1352].start |
11402.13096875 |
transcript.pyannote[1352].end |
11407.17659375 |
transcript.pyannote[1353].speaker |
SPEAKER_12 |
transcript.pyannote[1353].start |
11404.13909375 |
transcript.pyannote[1353].end |
11404.49346875 |
transcript.pyannote[1354].speaker |
SPEAKER_06 |
transcript.pyannote[1354].start |
11407.42971875 |
transcript.pyannote[1354].end |
11413.99409375 |
transcript.pyannote[1355].speaker |
SPEAKER_09 |
transcript.pyannote[1355].start |
11420.20409375 |
transcript.pyannote[1355].end |
11421.28409375 |
transcript.pyannote[1356].speaker |
SPEAKER_09 |
transcript.pyannote[1356].start |
11421.62159375 |
transcript.pyannote[1356].end |
11424.57471875 |
transcript.pyannote[1357].speaker |
SPEAKER_06 |
transcript.pyannote[1357].start |
11424.81096875 |
transcript.pyannote[1357].end |
11425.92471875 |
transcript.pyannote[1358].speaker |
SPEAKER_09 |
transcript.pyannote[1358].start |
11432.15159375 |
transcript.pyannote[1358].end |
11433.02909375 |
transcript.pyannote[1359].speaker |
SPEAKER_09 |
transcript.pyannote[1359].start |
11433.36659375 |
transcript.pyannote[1359].end |
11433.99096875 |
transcript.pyannote[1360].speaker |
SPEAKER_09 |
transcript.pyannote[1360].start |
11434.46346875 |
transcript.pyannote[1360].end |
11434.85159375 |
transcript.pyannote[1361].speaker |
SPEAKER_09 |
transcript.pyannote[1361].start |
11435.17221875 |
transcript.pyannote[1361].end |
11435.52659375 |
transcript.pyannote[1362].speaker |
SPEAKER_09 |
transcript.pyannote[1362].start |
11436.06659375 |
transcript.pyannote[1362].end |
11437.88909375 |
transcript.pyannote[1363].speaker |
SPEAKER_09 |
transcript.pyannote[1363].start |
11439.12096875 |
transcript.pyannote[1363].end |
11440.35284375 |
transcript.pyannote[1364].speaker |
SPEAKER_09 |
transcript.pyannote[1364].start |
11440.99409375 |
transcript.pyannote[1364].end |
11442.24284375 |
transcript.pyannote[1365].speaker |
SPEAKER_09 |
transcript.pyannote[1365].start |
11442.95159375 |
transcript.pyannote[1365].end |
11444.14971875 |
transcript.pyannote[1366].speaker |
SPEAKER_09 |
transcript.pyannote[1366].start |
11445.21284375 |
transcript.pyannote[1366].end |
11445.87096875 |
transcript.pyannote[1367].speaker |
SPEAKER_09 |
transcript.pyannote[1367].start |
11445.95534375 |
transcript.pyannote[1367].end |
11446.61346875 |
transcript.pyannote[1368].speaker |
SPEAKER_09 |
transcript.pyannote[1368].start |
11447.44034375 |
transcript.pyannote[1368].end |
11448.58784375 |
transcript.pyannote[1369].speaker |
SPEAKER_09 |
transcript.pyannote[1369].start |
11450.61284375 |
transcript.pyannote[1369].end |
11452.19909375 |
transcript.pyannote[1370].speaker |
SPEAKER_09 |
transcript.pyannote[1370].start |
11452.99221875 |
transcript.pyannote[1370].end |
11455.28721875 |
transcript.pyannote[1371].speaker |
SPEAKER_09 |
transcript.pyannote[1371].start |
11456.85659375 |
transcript.pyannote[1371].end |
11458.54409375 |
transcript.pyannote[1372].speaker |
SPEAKER_09 |
transcript.pyannote[1372].start |
11459.28659375 |
transcript.pyannote[1372].end |
11460.50159375 |
transcript.pyannote[1373].speaker |
SPEAKER_09 |
transcript.pyannote[1373].start |
11460.97409375 |
transcript.pyannote[1373].end |
11462.54346875 |
transcript.pyannote[1374].speaker |
SPEAKER_09 |
transcript.pyannote[1374].start |
11464.26471875 |
transcript.pyannote[1374].end |
11466.13784375 |
transcript.pyannote[1375].speaker |
SPEAKER_09 |
transcript.pyannote[1375].start |
11466.67784375 |
transcript.pyannote[1375].end |
11468.56784375 |
transcript.pyannote[1376].speaker |
SPEAKER_09 |
transcript.pyannote[1376].start |
11469.90096875 |
transcript.pyannote[1376].end |
11472.31409375 |
transcript.pyannote[1377].speaker |
SPEAKER_09 |
transcript.pyannote[1377].start |
11473.37721875 |
transcript.pyannote[1377].end |
11474.52471875 |
transcript.pyannote[1378].speaker |
SPEAKER_09 |
transcript.pyannote[1378].start |
11474.86221875 |
transcript.pyannote[1378].end |
11476.41471875 |
transcript.pyannote[1379].speaker |
SPEAKER_09 |
transcript.pyannote[1379].start |
11477.07284375 |
transcript.pyannote[1379].end |
11478.40596875 |
transcript.pyannote[1380].speaker |
SPEAKER_09 |
transcript.pyannote[1380].start |
11479.51971875 |
transcript.pyannote[1380].end |
11480.11034375 |
transcript.pyannote[1381].speaker |
SPEAKER_09 |
transcript.pyannote[1381].start |
11480.59971875 |
transcript.pyannote[1381].end |
11482.35471875 |
transcript.pyannote[1382].speaker |
SPEAKER_09 |
transcript.pyannote[1382].start |
11483.16471875 |
transcript.pyannote[1382].end |
11484.22784375 |
transcript.pyannote[1383].speaker |
SPEAKER_09 |
transcript.pyannote[1383].start |
11485.37534375 |
transcript.pyannote[1383].end |
11488.26096875 |
transcript.pyannote[1384].speaker |
SPEAKER_09 |
transcript.pyannote[1384].start |
11489.35784375 |
transcript.pyannote[1384].end |
11491.21409375 |
transcript.pyannote[1385].speaker |
SPEAKER_00 |
transcript.pyannote[1385].start |
11489.81346875 |
transcript.pyannote[1385].end |
11490.35346875 |
transcript.pyannote[1386].speaker |
SPEAKER_09 |
transcript.pyannote[1386].start |
11491.83846875 |
transcript.pyannote[1386].end |
11493.91409375 |
transcript.pyannote[1387].speaker |
SPEAKER_00 |
transcript.pyannote[1387].start |
11491.87221875 |
transcript.pyannote[1387].end |
11492.36159375 |
transcript.pyannote[1388].speaker |
SPEAKER_09 |
transcript.pyannote[1388].start |
11495.02784375 |
transcript.pyannote[1388].end |
11497.57596875 |
transcript.pyannote[1389].speaker |
SPEAKER_09 |
transcript.pyannote[1389].start |
11498.79096875 |
transcript.pyannote[1389].end |
11500.52909375 |
transcript.pyannote[1390].speaker |
SPEAKER_00 |
transcript.pyannote[1390].start |
11499.44909375 |
transcript.pyannote[1390].end |
11499.48284375 |
transcript.pyannote[1391].speaker |
SPEAKER_00 |
transcript.pyannote[1391].start |
11499.51659375 |
transcript.pyannote[1391].end |
11499.56721875 |
transcript.pyannote[1392].speaker |
SPEAKER_09 |
transcript.pyannote[1392].start |
11501.32221875 |
transcript.pyannote[1392].end |
11503.83659375 |
transcript.pyannote[1393].speaker |
SPEAKER_09 |
transcript.pyannote[1393].start |
11504.37659375 |
transcript.pyannote[1393].end |
11509.77659375 |
transcript.pyannote[1394].speaker |
SPEAKER_09 |
transcript.pyannote[1394].start |
11510.33346875 |
transcript.pyannote[1394].end |
11511.63284375 |
transcript.pyannote[1395].speaker |
SPEAKER_09 |
transcript.pyannote[1395].start |
11512.40909375 |
transcript.pyannote[1395].end |
11513.67471875 |
transcript.pyannote[1396].speaker |
SPEAKER_09 |
transcript.pyannote[1396].start |
11513.91096875 |
transcript.pyannote[1396].end |
11515.85159375 |
transcript.pyannote[1397].speaker |
SPEAKER_09 |
transcript.pyannote[1397].start |
11517.16784375 |
transcript.pyannote[1397].end |
11517.84284375 |
transcript.pyannote[1398].speaker |
SPEAKER_09 |
transcript.pyannote[1398].start |
11518.31534375 |
transcript.pyannote[1398].end |
11519.61471875 |
transcript.pyannote[1399].speaker |
SPEAKER_09 |
transcript.pyannote[1399].start |
11520.82971875 |
transcript.pyannote[1399].end |
11522.14596875 |
transcript.pyannote[1400].speaker |
SPEAKER_09 |
transcript.pyannote[1400].start |
11522.97284375 |
transcript.pyannote[1400].end |
11524.37346875 |
transcript.pyannote[1401].speaker |
SPEAKER_09 |
transcript.pyannote[1401].start |
11525.01471875 |
transcript.pyannote[1401].end |
11525.65596875 |
transcript.pyannote[1402].speaker |
SPEAKER_09 |
transcript.pyannote[1402].start |
11527.14096875 |
transcript.pyannote[1402].end |
11527.93409375 |
transcript.pyannote[1403].speaker |
SPEAKER_09 |
transcript.pyannote[1403].start |
11528.38971875 |
transcript.pyannote[1403].end |
11530.17846875 |
transcript.pyannote[1404].speaker |
SPEAKER_09 |
transcript.pyannote[1404].start |
11530.70159375 |
transcript.pyannote[1404].end |
11533.04721875 |
transcript.pyannote[1405].speaker |
SPEAKER_09 |
transcript.pyannote[1405].start |
11534.26221875 |
transcript.pyannote[1405].end |
11535.42659375 |
transcript.pyannote[1406].speaker |
SPEAKER_09 |
transcript.pyannote[1406].start |
11535.76409375 |
transcript.pyannote[1406].end |
11537.08034375 |
transcript.pyannote[1407].speaker |
SPEAKER_09 |
transcript.pyannote[1407].start |
11538.07596875 |
transcript.pyannote[1407].end |
11538.46409375 |
transcript.pyannote[1408].speaker |
SPEAKER_09 |
transcript.pyannote[1408].start |
11538.76784375 |
transcript.pyannote[1408].end |
11539.93221875 |
transcript.pyannote[1409].speaker |
SPEAKER_09 |
transcript.pyannote[1409].start |
11539.96596875 |
transcript.pyannote[1409].end |
11540.01659375 |
transcript.pyannote[1410].speaker |
SPEAKER_21 |
transcript.pyannote[1410].start |
11540.01659375 |
transcript.pyannote[1410].end |
11540.03346875 |
transcript.pyannote[1411].speaker |
SPEAKER_21 |
transcript.pyannote[1411].start |
11540.13471875 |
transcript.pyannote[1411].end |
11540.20221875 |
transcript.pyannote[1412].speaker |
SPEAKER_09 |
transcript.pyannote[1412].start |
11540.20221875 |
transcript.pyannote[1412].end |
11542.00784375 |
transcript.pyannote[1413].speaker |
SPEAKER_09 |
transcript.pyannote[1413].start |
11542.68284375 |
transcript.pyannote[1413].end |
11544.21846875 |
transcript.pyannote[1414].speaker |
SPEAKER_09 |
transcript.pyannote[1414].start |
11544.62346875 |
transcript.pyannote[1414].end |
11546.34471875 |
transcript.pyannote[1415].speaker |
SPEAKER_09 |
transcript.pyannote[1415].start |
11547.03659375 |
transcript.pyannote[1415].end |
11550.32721875 |
transcript.pyannote[1416].speaker |
SPEAKER_09 |
transcript.pyannote[1416].start |
11550.71534375 |
transcript.pyannote[1416].end |
11551.72784375 |
transcript.pyannote[1417].speaker |
SPEAKER_09 |
transcript.pyannote[1417].start |
11552.55471875 |
transcript.pyannote[1417].end |
11553.06096875 |
transcript.pyannote[1418].speaker |
SPEAKER_09 |
transcript.pyannote[1418].start |
11554.00596875 |
transcript.pyannote[1418].end |
11554.59659375 |
transcript.pyannote[1419].speaker |
SPEAKER_09 |
transcript.pyannote[1419].start |
11555.32221875 |
transcript.pyannote[1419].end |
11555.91284375 |
transcript.pyannote[1420].speaker |
SPEAKER_09 |
transcript.pyannote[1420].start |
11556.45284375 |
transcript.pyannote[1420].end |
11557.43159375 |
transcript.pyannote[1421].speaker |
SPEAKER_09 |
transcript.pyannote[1421].start |
11557.48221875 |
transcript.pyannote[1421].end |
11559.99659375 |
transcript.pyannote[1422].speaker |
SPEAKER_09 |
transcript.pyannote[1422].start |
11560.55346875 |
transcript.pyannote[1422].end |
11561.95409375 |
transcript.pyannote[1423].speaker |
SPEAKER_09 |
transcript.pyannote[1423].start |
11562.67971875 |
transcript.pyannote[1423].end |
11564.85659375 |
transcript.pyannote[1424].speaker |
SPEAKER_09 |
transcript.pyannote[1424].start |
11565.46409375 |
transcript.pyannote[1424].end |
11566.79721875 |
transcript.pyannote[1425].speaker |
SPEAKER_09 |
transcript.pyannote[1425].start |
11567.60721875 |
transcript.pyannote[1425].end |
11569.02471875 |
transcript.pyannote[1426].speaker |
SPEAKER_09 |
transcript.pyannote[1426].start |
11569.42971875 |
transcript.pyannote[1426].end |
11570.67846875 |
transcript.pyannote[1427].speaker |
SPEAKER_09 |
transcript.pyannote[1427].start |
11571.40409375 |
transcript.pyannote[1427].end |
11571.85971875 |
transcript.pyannote[1428].speaker |
SPEAKER_09 |
transcript.pyannote[1428].start |
11572.28159375 |
transcript.pyannote[1428].end |
11573.90159375 |
transcript.pyannote[1429].speaker |
SPEAKER_09 |
transcript.pyannote[1429].start |
11575.42034375 |
transcript.pyannote[1429].end |
11581.71471875 |
transcript.pyannote[1430].speaker |
SPEAKER_09 |
transcript.pyannote[1430].start |
11582.65971875 |
transcript.pyannote[1430].end |
11585.07284375 |
transcript.pyannote[1431].speaker |
SPEAKER_09 |
transcript.pyannote[1431].start |
11586.15284375 |
transcript.pyannote[1431].end |
11587.48596875 |
transcript.pyannote[1432].speaker |
SPEAKER_09 |
transcript.pyannote[1432].start |
11587.94159375 |
transcript.pyannote[1432].end |
11588.81909375 |
transcript.pyannote[1433].speaker |
SPEAKER_09 |
transcript.pyannote[1433].start |
11589.30846875 |
transcript.pyannote[1433].end |
11590.11846875 |
transcript.pyannote[1434].speaker |
SPEAKER_09 |
transcript.pyannote[1434].start |
11591.14784375 |
transcript.pyannote[1434].end |
11592.71721875 |
transcript.pyannote[1435].speaker |
SPEAKER_09 |
transcript.pyannote[1435].start |
11593.64534375 |
transcript.pyannote[1435].end |
11595.18096875 |
transcript.pyannote[1436].speaker |
SPEAKER_09 |
transcript.pyannote[1436].start |
11596.26096875 |
transcript.pyannote[1436].end |
11598.20159375 |
transcript.pyannote[1437].speaker |
SPEAKER_09 |
transcript.pyannote[1437].start |
11598.48846875 |
transcript.pyannote[1437].end |
11599.26471875 |
transcript.pyannote[1438].speaker |
SPEAKER_09 |
transcript.pyannote[1438].start |
11599.82159375 |
transcript.pyannote[1438].end |
11600.73284375 |
transcript.pyannote[1439].speaker |
SPEAKER_09 |
transcript.pyannote[1439].start |
11601.40784375 |
transcript.pyannote[1439].end |
11603.29784375 |
transcript.pyannote[1440].speaker |
SPEAKER_09 |
transcript.pyannote[1440].start |
11604.10784375 |
transcript.pyannote[1440].end |
11605.62659375 |
transcript.pyannote[1441].speaker |
SPEAKER_09 |
transcript.pyannote[1441].start |
11606.35221875 |
transcript.pyannote[1441].end |
11608.61346875 |
transcript.pyannote[1442].speaker |
SPEAKER_09 |
transcript.pyannote[1442].start |
11609.62596875 |
transcript.pyannote[1442].end |
11614.40159375 |
transcript.pyannote[1443].speaker |
SPEAKER_09 |
transcript.pyannote[1443].start |
11615.17784375 |
transcript.pyannote[1443].end |
11617.37159375 |
transcript.pyannote[1444].speaker |
SPEAKER_09 |
transcript.pyannote[1444].start |
11619.09284375 |
transcript.pyannote[1444].end |
11619.73409375 |
transcript.pyannote[1445].speaker |
SPEAKER_09 |
transcript.pyannote[1445].start |
11620.61159375 |
transcript.pyannote[1445].end |
11621.21909375 |
transcript.pyannote[1446].speaker |
SPEAKER_09 |
transcript.pyannote[1446].start |
11621.62409375 |
transcript.pyannote[1446].end |
11624.71221875 |
transcript.pyannote[1447].speaker |
SPEAKER_09 |
transcript.pyannote[1447].start |
11625.91034375 |
transcript.pyannote[1447].end |
11628.17159375 |
transcript.pyannote[1448].speaker |
SPEAKER_09 |
transcript.pyannote[1448].start |
11628.96471875 |
transcript.pyannote[1448].end |
11630.12909375 |
transcript.pyannote[1449].speaker |
SPEAKER_09 |
transcript.pyannote[1449].start |
11630.73659375 |
transcript.pyannote[1449].end |
11632.32284375 |
transcript.pyannote[1450].speaker |
SPEAKER_09 |
transcript.pyannote[1450].start |
11633.48721875 |
transcript.pyannote[1450].end |
11634.14534375 |
transcript.pyannote[1451].speaker |
SPEAKER_09 |
transcript.pyannote[1451].start |
11634.78659375 |
transcript.pyannote[1451].end |
11635.68096875 |
transcript.pyannote[1452].speaker |
SPEAKER_09 |
transcript.pyannote[1452].start |
11636.08596875 |
transcript.pyannote[1452].end |
11637.46971875 |
transcript.pyannote[1453].speaker |
SPEAKER_09 |
transcript.pyannote[1453].start |
11637.99284375 |
transcript.pyannote[1453].end |
11638.49909375 |
transcript.pyannote[1454].speaker |
SPEAKER_09 |
transcript.pyannote[1454].start |
11638.98846875 |
transcript.pyannote[1454].end |
11639.84909375 |
transcript.pyannote[1455].speaker |
SPEAKER_09 |
transcript.pyannote[1455].start |
11640.99659375 |
transcript.pyannote[1455].end |
11641.45221875 |
transcript.pyannote[1456].speaker |
SPEAKER_09 |
transcript.pyannote[1456].start |
11641.94159375 |
transcript.pyannote[1456].end |
11642.80221875 |
transcript.pyannote[1457].speaker |
SPEAKER_09 |
transcript.pyannote[1457].start |
11643.42659375 |
transcript.pyannote[1457].end |
11644.97909375 |
transcript.pyannote[1458].speaker |
SPEAKER_09 |
transcript.pyannote[1458].start |
11645.14784375 |
transcript.pyannote[1458].end |
11645.94096875 |
transcript.pyannote[1459].speaker |
SPEAKER_09 |
transcript.pyannote[1459].start |
11645.99159375 |
transcript.pyannote[1459].end |
11648.32034375 |
transcript.pyannote[1460].speaker |
SPEAKER_09 |
transcript.pyannote[1460].start |
11648.65784375 |
transcript.pyannote[1460].end |
11649.97409375 |
transcript.pyannote[1461].speaker |
SPEAKER_09 |
transcript.pyannote[1461].start |
11650.73346875 |
transcript.pyannote[1461].end |
11651.57721875 |
transcript.pyannote[1462].speaker |
SPEAKER_09 |
transcript.pyannote[1462].start |
11652.50534375 |
transcript.pyannote[1462].end |
11653.16346875 |
transcript.pyannote[1463].speaker |
SPEAKER_09 |
transcript.pyannote[1463].start |
11653.85534375 |
transcript.pyannote[1463].end |
11655.20534375 |
transcript.pyannote[1464].speaker |
SPEAKER_09 |
transcript.pyannote[1464].start |
11656.20096875 |
transcript.pyannote[1464].end |
11658.78284375 |
transcript.pyannote[1465].speaker |
SPEAKER_09 |
transcript.pyannote[1465].start |
11660.36909375 |
transcript.pyannote[1465].end |
11662.86659375 |
transcript.pyannote[1466].speaker |
SPEAKER_09 |
transcript.pyannote[1466].start |
11663.74409375 |
transcript.pyannote[1466].end |
11664.33471875 |
transcript.pyannote[1467].speaker |
SPEAKER_09 |
transcript.pyannote[1467].start |
11664.90846875 |
transcript.pyannote[1467].end |
11670.54471875 |
transcript.pyannote[1468].speaker |
SPEAKER_09 |
transcript.pyannote[1468].start |
11671.96221875 |
transcript.pyannote[1468].end |
11673.85221875 |
transcript.pyannote[1469].speaker |
SPEAKER_09 |
transcript.pyannote[1469].start |
11674.39221875 |
transcript.pyannote[1469].end |
11675.25284375 |
transcript.pyannote[1470].speaker |
SPEAKER_09 |
transcript.pyannote[1470].start |
11676.31596875 |
transcript.pyannote[1470].end |
11678.37471875 |
transcript.pyannote[1471].speaker |
SPEAKER_09 |
transcript.pyannote[1471].start |
11679.16784375 |
transcript.pyannote[1471].end |
11681.63159375 |
transcript.pyannote[1472].speaker |
SPEAKER_09 |
transcript.pyannote[1472].start |
11682.17159375 |
transcript.pyannote[1472].end |
11683.45409375 |
transcript.pyannote[1473].speaker |
SPEAKER_09 |
transcript.pyannote[1473].start |
11684.33159375 |
transcript.pyannote[1473].end |
11685.15846875 |
transcript.pyannote[1474].speaker |
SPEAKER_09 |
transcript.pyannote[1474].start |
11685.52971875 |
transcript.pyannote[1474].end |
11686.77846875 |
transcript.pyannote[1475].speaker |
SPEAKER_09 |
transcript.pyannote[1475].start |
11687.87534375 |
transcript.pyannote[1475].end |
11689.61346875 |
transcript.pyannote[1476].speaker |
SPEAKER_09 |
transcript.pyannote[1476].start |
11689.78221875 |
transcript.pyannote[1476].end |
11690.45721875 |
transcript.pyannote[1477].speaker |
SPEAKER_09 |
transcript.pyannote[1477].start |
11690.74409375 |
transcript.pyannote[1477].end |
11692.73534375 |
transcript.pyannote[1478].speaker |
SPEAKER_09 |
transcript.pyannote[1478].start |
11693.44409375 |
transcript.pyannote[1478].end |
11695.28346875 |
transcript.pyannote[1479].speaker |
SPEAKER_09 |
transcript.pyannote[1479].start |
11696.44784375 |
transcript.pyannote[1479].end |
11697.46034375 |
transcript.pyannote[1480].speaker |
SPEAKER_09 |
transcript.pyannote[1480].start |
11698.25346875 |
transcript.pyannote[1480].end |
11700.41346875 |
transcript.pyannote[1481].speaker |
SPEAKER_09 |
transcript.pyannote[1481].start |
11701.29096875 |
transcript.pyannote[1481].end |
11702.80971875 |
transcript.pyannote[1482].speaker |
SPEAKER_09 |
transcript.pyannote[1482].start |
11702.96159375 |
transcript.pyannote[1482].end |
11704.61534375 |
transcript.pyannote[1483].speaker |
SPEAKER_09 |
transcript.pyannote[1483].start |
11705.84721875 |
transcript.pyannote[1483].end |
11708.14221875 |
transcript.pyannote[1484].speaker |
SPEAKER_09 |
transcript.pyannote[1484].start |
11709.77909375 |
transcript.pyannote[1484].end |
11711.46659375 |
transcript.pyannote[1485].speaker |
SPEAKER_09 |
transcript.pyannote[1485].start |
11712.09096875 |
transcript.pyannote[1485].end |
11713.00221875 |
transcript.pyannote[1486].speaker |
SPEAKER_09 |
transcript.pyannote[1486].start |
11713.57596875 |
transcript.pyannote[1486].end |
11714.48721875 |
transcript.pyannote[1487].speaker |
SPEAKER_09 |
transcript.pyannote[1487].start |
11715.22971875 |
transcript.pyannote[1487].end |
11716.32659375 |
transcript.pyannote[1488].speaker |
SPEAKER_09 |
transcript.pyannote[1488].start |
11717.55846875 |
transcript.pyannote[1488].end |
11722.90784375 |
transcript.pyannote[1489].speaker |
SPEAKER_09 |
transcript.pyannote[1489].start |
11723.83596875 |
transcript.pyannote[1489].end |
11727.24471875 |
transcript.pyannote[1490].speaker |
SPEAKER_09 |
transcript.pyannote[1490].start |
11727.73409375 |
transcript.pyannote[1490].end |
11730.80534375 |
transcript.pyannote[1491].speaker |
SPEAKER_09 |
transcript.pyannote[1491].start |
11731.68284375 |
transcript.pyannote[1491].end |
11736.47534375 |
transcript.pyannote[1492].speaker |
SPEAKER_09 |
transcript.pyannote[1492].start |
11737.82534375 |
transcript.pyannote[1492].end |
11739.29346875 |
transcript.pyannote[1493].speaker |
SPEAKER_09 |
transcript.pyannote[1493].start |
11739.36096875 |
transcript.pyannote[1493].end |
11741.03159375 |
transcript.pyannote[1494].speaker |
SPEAKER_09 |
transcript.pyannote[1494].start |
11741.67284375 |
transcript.pyannote[1494].end |
11741.99346875 |
transcript.pyannote[1495].speaker |
SPEAKER_09 |
transcript.pyannote[1495].start |
11742.97221875 |
transcript.pyannote[1495].end |
11743.79909375 |
transcript.pyannote[1496].speaker |
SPEAKER_09 |
transcript.pyannote[1496].start |
11744.71034375 |
transcript.pyannote[1496].end |
11747.54534375 |
transcript.pyannote[1497].speaker |
SPEAKER_09 |
transcript.pyannote[1497].start |
11748.00096875 |
transcript.pyannote[1497].end |
11748.72659375 |
transcript.pyannote[1498].speaker |
SPEAKER_09 |
transcript.pyannote[1498].start |
11749.53659375 |
transcript.pyannote[1498].end |
11749.73909375 |
transcript.pyannote[1499].speaker |
SPEAKER_09 |
transcript.pyannote[1499].start |
11750.16096875 |
transcript.pyannote[1499].end |
11752.18596875 |
transcript.pyannote[1500].speaker |
SPEAKER_09 |
transcript.pyannote[1500].start |
11752.79346875 |
transcript.pyannote[1500].end |
11754.31221875 |
transcript.pyannote[1501].speaker |
SPEAKER_09 |
transcript.pyannote[1501].start |
11755.02096875 |
transcript.pyannote[1501].end |
11756.26971875 |
transcript.pyannote[1502].speaker |
SPEAKER_09 |
transcript.pyannote[1502].start |
11756.45534375 |
transcript.pyannote[1502].end |
11757.70409375 |
transcript.pyannote[1503].speaker |
SPEAKER_09 |
transcript.pyannote[1503].start |
11758.93596875 |
transcript.pyannote[1503].end |
11760.33659375 |
transcript.pyannote[1504].speaker |
SPEAKER_09 |
transcript.pyannote[1504].start |
11762.44596875 |
transcript.pyannote[1504].end |
11763.67784375 |
transcript.pyannote[1505].speaker |
SPEAKER_13 |
transcript.pyannote[1505].start |
11764.16721875 |
transcript.pyannote[1505].end |
11775.96284375 |
transcript.pyannote[1506].speaker |
SPEAKER_09 |
transcript.pyannote[1506].start |
11768.04846875 |
transcript.pyannote[1506].end |
11769.95534375 |
transcript.pyannote[1507].speaker |
SPEAKER_09 |
transcript.pyannote[1507].start |
11776.62096875 |
transcript.pyannote[1507].end |
11778.13971875 |
transcript.pyannote[1508].speaker |
SPEAKER_13 |
transcript.pyannote[1508].start |
11778.42659375 |
transcript.pyannote[1508].end |
11778.44346875 |
transcript.pyannote[1509].speaker |
SPEAKER_09 |
transcript.pyannote[1509].start |
11778.44346875 |
transcript.pyannote[1509].end |
11778.46034375 |
transcript.pyannote[1510].speaker |
SPEAKER_13 |
transcript.pyannote[1510].start |
11778.46034375 |
transcript.pyannote[1510].end |
11778.91596875 |
transcript.pyannote[1511].speaker |
SPEAKER_09 |
transcript.pyannote[1511].start |
11778.91596875 |
transcript.pyannote[1511].end |
11778.94971875 |
transcript.pyannote[1512].speaker |
SPEAKER_13 |
transcript.pyannote[1512].start |
11778.94971875 |
transcript.pyannote[1512].end |
11778.96659375 |
transcript.pyannote[1513].speaker |
SPEAKER_09 |
transcript.pyannote[1513].start |
11778.96659375 |
transcript.pyannote[1513].end |
11779.54034375 |
transcript.pyannote[1514].speaker |
SPEAKER_13 |
transcript.pyannote[1514].start |
11779.54034375 |
transcript.pyannote[1514].end |
11779.62471875 |
transcript.pyannote[1515].speaker |
SPEAKER_09 |
transcript.pyannote[1515].start |
11779.62471875 |
transcript.pyannote[1515].end |
11781.63284375 |
transcript.pyannote[1516].speaker |
SPEAKER_09 |
transcript.pyannote[1516].start |
11782.30784375 |
transcript.pyannote[1516].end |
11784.14721875 |
transcript.pyannote[1517].speaker |
SPEAKER_09 |
transcript.pyannote[1517].start |
11784.78846875 |
transcript.pyannote[1517].end |
11785.80096875 |
transcript.pyannote[1518].speaker |
SPEAKER_09 |
transcript.pyannote[1518].start |
11786.57721875 |
transcript.pyannote[1518].end |
11788.07909375 |
transcript.pyannote[1519].speaker |
SPEAKER_09 |
transcript.pyannote[1519].start |
11788.61909375 |
transcript.pyannote[1519].end |
11789.59784375 |
transcript.pyannote[1520].speaker |
SPEAKER_09 |
transcript.pyannote[1520].start |
11791.03221875 |
transcript.pyannote[1520].end |
11791.35284375 |
transcript.pyannote[1521].speaker |
SPEAKER_09 |
transcript.pyannote[1521].start |
11791.80846875 |
transcript.pyannote[1521].end |
11793.93471875 |
transcript.pyannote[1522].speaker |
SPEAKER_09 |
transcript.pyannote[1522].start |
11794.59284375 |
transcript.pyannote[1522].end |
11795.62221875 |
transcript.pyannote[1523].speaker |
SPEAKER_09 |
transcript.pyannote[1523].start |
11796.01034375 |
transcript.pyannote[1523].end |
11797.41096875 |
transcript.pyannote[1524].speaker |
SPEAKER_09 |
transcript.pyannote[1524].start |
11798.77784375 |
transcript.pyannote[1524].end |
11800.70159375 |
transcript.pyannote[1525].speaker |
SPEAKER_09 |
transcript.pyannote[1525].start |
11801.91659375 |
transcript.pyannote[1525].end |
11803.24971875 |
transcript.pyannote[1526].speaker |
SPEAKER_09 |
transcript.pyannote[1526].start |
11804.34659375 |
transcript.pyannote[1526].end |
11805.93284375 |
transcript.pyannote[1527].speaker |
SPEAKER_09 |
transcript.pyannote[1527].start |
11806.38846875 |
transcript.pyannote[1527].end |
11808.97034375 |
transcript.pyannote[1528].speaker |
SPEAKER_09 |
transcript.pyannote[1528].start |
11809.51034375 |
transcript.pyannote[1528].end |
11810.45534375 |
transcript.pyannote[1529].speaker |
SPEAKER_09 |
transcript.pyannote[1529].start |
11811.90659375 |
transcript.pyannote[1529].end |
11812.91909375 |
transcript.pyannote[1530].speaker |
SPEAKER_09 |
transcript.pyannote[1530].start |
11813.35784375 |
transcript.pyannote[1530].end |
11815.60221875 |
transcript.pyannote[1531].speaker |
SPEAKER_09 |
transcript.pyannote[1531].start |
11816.54721875 |
transcript.pyannote[1531].end |
11818.48784375 |
transcript.pyannote[1532].speaker |
SPEAKER_09 |
transcript.pyannote[1532].start |
11818.60596875 |
transcript.pyannote[1532].end |
11819.92221875 |
transcript.pyannote[1533].speaker |
SPEAKER_09 |
transcript.pyannote[1533].start |
11821.39034375 |
transcript.pyannote[1533].end |
11823.68534375 |
transcript.pyannote[1534].speaker |
SPEAKER_09 |
transcript.pyannote[1534].start |
11824.96784375 |
transcript.pyannote[1534].end |
11825.99721875 |
transcript.pyannote[1535].speaker |
SPEAKER_09 |
transcript.pyannote[1535].start |
11826.21659375 |
transcript.pyannote[1535].end |
11827.53284375 |
transcript.pyannote[1536].speaker |
SPEAKER_09 |
transcript.pyannote[1536].start |
11828.62971875 |
transcript.pyannote[1536].end |
11829.00096875 |
transcript.pyannote[1537].speaker |
SPEAKER_09 |
transcript.pyannote[1537].start |
11829.37221875 |
transcript.pyannote[1537].end |
11829.82784375 |
transcript.pyannote[1538].speaker |
SPEAKER_09 |
transcript.pyannote[1538].start |
11830.35096875 |
transcript.pyannote[1538].end |
11833.21971875 |
transcript.pyannote[1539].speaker |
SPEAKER_09 |
transcript.pyannote[1539].start |
11833.82721875 |
transcript.pyannote[1539].end |
11834.73846875 |
transcript.pyannote[1540].speaker |
SPEAKER_09 |
transcript.pyannote[1540].start |
11835.64971875 |
transcript.pyannote[1540].end |
11836.49346875 |
transcript.pyannote[1541].speaker |
SPEAKER_09 |
transcript.pyannote[1541].start |
11836.84784375 |
transcript.pyannote[1541].end |
11838.72096875 |
transcript.pyannote[1542].speaker |
SPEAKER_09 |
transcript.pyannote[1542].start |
11839.07534375 |
transcript.pyannote[1542].end |
11841.92721875 |
transcript.pyannote[1543].speaker |
SPEAKER_09 |
transcript.pyannote[1543].start |
11843.32784375 |
transcript.pyannote[1543].end |
11844.32346875 |
transcript.pyannote[1544].speaker |
SPEAKER_09 |
transcript.pyannote[1544].start |
11844.59346875 |
transcript.pyannote[1544].end |
11847.34409375 |
transcript.pyannote[1545].speaker |
SPEAKER_09 |
transcript.pyannote[1545].start |
11847.88409375 |
transcript.pyannote[1545].end |
11848.91346875 |
transcript.pyannote[1546].speaker |
SPEAKER_09 |
transcript.pyannote[1546].start |
11849.72346875 |
transcript.pyannote[1546].end |
11851.30971875 |
transcript.pyannote[1547].speaker |
SPEAKER_09 |
transcript.pyannote[1547].start |
11851.68096875 |
transcript.pyannote[1547].end |
11852.27159375 |
transcript.pyannote[1548].speaker |
SPEAKER_09 |
transcript.pyannote[1548].start |
11852.54159375 |
transcript.pyannote[1548].end |
11854.90409375 |
transcript.pyannote[1549].speaker |
SPEAKER_09 |
transcript.pyannote[1549].start |
11855.32596875 |
transcript.pyannote[1549].end |
11857.18221875 |
transcript.pyannote[1550].speaker |
SPEAKER_09 |
transcript.pyannote[1550].start |
11857.67159375 |
transcript.pyannote[1550].end |
11859.03846875 |
transcript.pyannote[1551].speaker |
SPEAKER_09 |
transcript.pyannote[1551].start |
11859.25784375 |
transcript.pyannote[1551].end |
11861.18159375 |
transcript.pyannote[1552].speaker |
SPEAKER_09 |
transcript.pyannote[1552].start |
11861.72159375 |
transcript.pyannote[1552].end |
11862.70034375 |
transcript.pyannote[1553].speaker |
SPEAKER_09 |
transcript.pyannote[1553].start |
11863.57784375 |
transcript.pyannote[1553].end |
11865.19784375 |
transcript.pyannote[1554].speaker |
SPEAKER_09 |
transcript.pyannote[1554].start |
11866.44659375 |
transcript.pyannote[1554].end |
11866.96971875 |
transcript.pyannote[1555].speaker |
SPEAKER_09 |
transcript.pyannote[1555].start |
11867.96534375 |
transcript.pyannote[1555].end |
11868.69096875 |
transcript.pyannote[1556].speaker |
SPEAKER_09 |
transcript.pyannote[1556].start |
11869.11284375 |
transcript.pyannote[1556].end |
11871.17159375 |
transcript.pyannote[1557].speaker |
SPEAKER_09 |
transcript.pyannote[1557].start |
11871.67784375 |
transcript.pyannote[1557].end |
11872.58909375 |
transcript.pyannote[1558].speaker |
SPEAKER_09 |
transcript.pyannote[1558].start |
11873.07846875 |
transcript.pyannote[1558].end |
11873.61846875 |
transcript.pyannote[1559].speaker |
SPEAKER_09 |
transcript.pyannote[1559].start |
11873.80409375 |
transcript.pyannote[1559].end |
11875.01909375 |
transcript.pyannote[1560].speaker |
SPEAKER_09 |
transcript.pyannote[1560].start |
11875.59284375 |
transcript.pyannote[1560].end |
11876.90909375 |
transcript.pyannote[1561].speaker |
SPEAKER_09 |
transcript.pyannote[1561].start |
11877.41534375 |
transcript.pyannote[1561].end |
11879.37284375 |
transcript.pyannote[1562].speaker |
SPEAKER_09 |
transcript.pyannote[1562].start |
11880.60471875 |
transcript.pyannote[1562].end |
11881.17846875 |
transcript.pyannote[1563].speaker |
SPEAKER_09 |
transcript.pyannote[1563].start |
11881.70159375 |
transcript.pyannote[1563].end |
11883.55784375 |
transcript.pyannote[1564].speaker |
SPEAKER_09 |
transcript.pyannote[1564].start |
11884.73909375 |
transcript.pyannote[1564].end |
11885.80221875 |
transcript.pyannote[1565].speaker |
SPEAKER_09 |
transcript.pyannote[1565].start |
11886.37596875 |
transcript.pyannote[1565].end |
11888.04659375 |
transcript.pyannote[1566].speaker |
SPEAKER_09 |
transcript.pyannote[1566].start |
11888.53596875 |
transcript.pyannote[1566].end |
11888.82284375 |
transcript.pyannote[1567].speaker |
SPEAKER_09 |
transcript.pyannote[1567].start |
11889.16034375 |
transcript.pyannote[1567].end |
11891.99534375 |
transcript.pyannote[1568].speaker |
SPEAKER_09 |
transcript.pyannote[1568].start |
11892.68721875 |
transcript.pyannote[1568].end |
11893.54784375 |
transcript.pyannote[1569].speaker |
SPEAKER_09 |
transcript.pyannote[1569].start |
11893.71659375 |
transcript.pyannote[1569].end |
11897.22659375 |
transcript.pyannote[1570].speaker |
SPEAKER_09 |
transcript.pyannote[1570].start |
11899.40346875 |
transcript.pyannote[1570].end |
11900.66909375 |
transcript.pyannote[1571].speaker |
SPEAKER_09 |
transcript.pyannote[1571].start |
11901.49596875 |
transcript.pyannote[1571].end |
11901.85034375 |
transcript.pyannote[1572].speaker |
SPEAKER_09 |
transcript.pyannote[1572].start |
11902.39034375 |
transcript.pyannote[1572].end |
11903.33534375 |
transcript.pyannote[1573].speaker |
SPEAKER_09 |
transcript.pyannote[1573].start |
11903.63909375 |
transcript.pyannote[1573].end |
11904.33096875 |
transcript.pyannote[1574].speaker |
SPEAKER_13 |
transcript.pyannote[1574].start |
11905.64721875 |
transcript.pyannote[1574].end |
11910.65909375 |
transcript.pyannote[1575].speaker |
SPEAKER_09 |
transcript.pyannote[1575].start |
11910.65909375 |
transcript.pyannote[1575].end |
11910.67596875 |
transcript.pyannote[1576].speaker |
SPEAKER_13 |
transcript.pyannote[1576].start |
11911.53659375 |
transcript.pyannote[1576].end |
11911.97534375 |
transcript.pyannote[1577].speaker |
SPEAKER_09 |
transcript.pyannote[1577].start |
11911.97534375 |
transcript.pyannote[1577].end |
11913.47721875 |
transcript.pyannote[1578].speaker |
SPEAKER_09 |
transcript.pyannote[1578].start |
11913.93284375 |
transcript.pyannote[1578].end |
11916.31221875 |
transcript.pyannote[1579].speaker |
SPEAKER_09 |
transcript.pyannote[1579].start |
11916.68346875 |
transcript.pyannote[1579].end |
11919.75471875 |
transcript.pyannote[1580].speaker |
SPEAKER_13 |
transcript.pyannote[1580].start |
11919.75471875 |
transcript.pyannote[1580].end |
11929.37346875 |
transcript.pyannote[1581].speaker |
SPEAKER_09 |
transcript.pyannote[1581].start |
11920.15971875 |
transcript.pyannote[1581].end |
11921.56034375 |
transcript.pyannote[1582].speaker |
SPEAKER_09 |
transcript.pyannote[1582].start |
11925.44159375 |
transcript.pyannote[1582].end |
11927.38221875 |
transcript.pyannote[1583].speaker |
SPEAKER_09 |
transcript.pyannote[1583].start |
11928.44534375 |
transcript.pyannote[1583].end |
11929.62659375 |
transcript.pyannote[1584].speaker |
SPEAKER_09 |
transcript.pyannote[1584].start |
11930.26784375 |
transcript.pyannote[1584].end |
11931.04409375 |
transcript.pyannote[1585].speaker |
SPEAKER_13 |
transcript.pyannote[1585].start |
11931.04409375 |
transcript.pyannote[1585].end |
11931.12846875 |
transcript.pyannote[1586].speaker |
SPEAKER_09 |
transcript.pyannote[1586].start |
11931.65159375 |
transcript.pyannote[1586].end |
11932.56284375 |
transcript.pyannote[1587].speaker |
SPEAKER_09 |
transcript.pyannote[1587].start |
11933.10284375 |
transcript.pyannote[1587].end |
11935.12784375 |
transcript.pyannote[1588].speaker |
SPEAKER_13 |
transcript.pyannote[1588].start |
11935.78596875 |
transcript.pyannote[1588].end |
11937.03471875 |
transcript.pyannote[1589].speaker |
SPEAKER_06 |
transcript.pyannote[1589].start |
11937.03471875 |
transcript.pyannote[1589].end |
11937.28784375 |
transcript.pyannote[1590].speaker |
SPEAKER_06 |
transcript.pyannote[1590].start |
11937.47346875 |
transcript.pyannote[1590].end |
11937.54096875 |
transcript.pyannote[1591].speaker |
SPEAKER_06 |
transcript.pyannote[1591].start |
11938.13159375 |
transcript.pyannote[1591].end |
11939.44784375 |
transcript.pyannote[1592].speaker |
SPEAKER_06 |
transcript.pyannote[1592].start |
11940.39284375 |
transcript.pyannote[1592].end |
11945.52284375 |
transcript.pyannote[1593].speaker |
SPEAKER_07 |
transcript.pyannote[1593].start |
11954.21346875 |
transcript.pyannote[1593].end |
11959.30971875 |
transcript.pyannote[1594].speaker |
SPEAKER_07 |
transcript.pyannote[1594].start |
11959.69784375 |
transcript.pyannote[1594].end |
11960.87909375 |
transcript.pyannote[1595].speaker |
SPEAKER_07 |
transcript.pyannote[1595].start |
11964.15284375 |
transcript.pyannote[1595].end |
11964.77721875 |
transcript.pyannote[1596].speaker |
SPEAKER_07 |
transcript.pyannote[1596].start |
11965.48596875 |
transcript.pyannote[1596].end |
11967.76409375 |
transcript.pyannote[1597].speaker |
SPEAKER_07 |
transcript.pyannote[1597].start |
11967.84846875 |
transcript.pyannote[1597].end |
11990.86596875 |
transcript.pyannote[1598].speaker |
SPEAKER_07 |
transcript.pyannote[1598].start |
11991.76034375 |
transcript.pyannote[1598].end |
12034.47096875 |
transcript.pyannote[1599].speaker |
SPEAKER_07 |
transcript.pyannote[1599].start |
12035.75346875 |
transcript.pyannote[1599].end |
12035.97284375 |
transcript.pyannote[1600].speaker |
SPEAKER_13 |
transcript.pyannote[1600].start |
12035.97284375 |
transcript.pyannote[1600].end |
12059.09159375 |
transcript.pyannote[1601].speaker |
SPEAKER_07 |
transcript.pyannote[1601].start |
12058.53471875 |
transcript.pyannote[1601].end |
12086.41221875 |
transcript.pyannote[1602].speaker |
SPEAKER_07 |
transcript.pyannote[1602].start |
12087.00284375 |
transcript.pyannote[1602].end |
12089.02784375 |
transcript.pyannote[1603].speaker |
SPEAKER_07 |
transcript.pyannote[1603].start |
12089.78721875 |
transcript.pyannote[1603].end |
12109.32846875 |
transcript.pyannote[1604].speaker |
SPEAKER_07 |
transcript.pyannote[1604].start |
12109.63221875 |
transcript.pyannote[1604].end |
12117.95159375 |
transcript.pyannote[1605].speaker |
SPEAKER_07 |
transcript.pyannote[1605].start |
12118.54221875 |
transcript.pyannote[1605].end |
12132.43034375 |
transcript.pyannote[1606].speaker |
SPEAKER_23 |
transcript.pyannote[1606].start |
12136.22721875 |
transcript.pyannote[1606].end |
12142.62284375 |
transcript.pyannote[1607].speaker |
SPEAKER_23 |
transcript.pyannote[1607].start |
12142.70721875 |
transcript.pyannote[1607].end |
12172.12034375 |
transcript.pyannote[1608].speaker |
SPEAKER_23 |
transcript.pyannote[1608].start |
12173.03159375 |
transcript.pyannote[1608].end |
12173.04846875 |
transcript.pyannote[1609].speaker |
SPEAKER_07 |
transcript.pyannote[1609].start |
12173.04846875 |
transcript.pyannote[1609].end |
12178.53284375 |
transcript.pyannote[1610].speaker |
SPEAKER_07 |
transcript.pyannote[1610].start |
12178.85346875 |
transcript.pyannote[1610].end |
12184.18596875 |
transcript.pyannote[1611].speaker |
SPEAKER_07 |
transcript.pyannote[1611].start |
12185.11409375 |
transcript.pyannote[1611].end |
12191.81346875 |
transcript.pyannote[1612].speaker |
SPEAKER_07 |
transcript.pyannote[1612].start |
12192.67409375 |
transcript.pyannote[1612].end |
12206.52846875 |
transcript.pyannote[1613].speaker |
SPEAKER_13 |
transcript.pyannote[1613].start |
12207.92909375 |
transcript.pyannote[1613].end |
12240.02534375 |
transcript.pyannote[1614].speaker |
SPEAKER_07 |
transcript.pyannote[1614].start |
12240.02534375 |
transcript.pyannote[1614].end |
12240.10971875 |
transcript.pyannote[1615].speaker |
SPEAKER_13 |
transcript.pyannote[1615].start |
12240.10971875 |
transcript.pyannote[1615].end |
12240.19409375 |
transcript.pyannote[1616].speaker |
SPEAKER_07 |
transcript.pyannote[1616].start |
12240.19409375 |
transcript.pyannote[1616].end |
12240.27846875 |
transcript.pyannote[1617].speaker |
SPEAKER_13 |
transcript.pyannote[1617].start |
12240.27846875 |
transcript.pyannote[1617].end |
12240.29534375 |
transcript.pyannote[1618].speaker |
SPEAKER_07 |
transcript.pyannote[1618].start |
12240.71721875 |
transcript.pyannote[1618].end |
12248.88471875 |
transcript.pyannote[1619].speaker |
SPEAKER_07 |
transcript.pyannote[1619].start |
12249.39096875 |
transcript.pyannote[1619].end |
12263.34659375 |
transcript.pyannote[1620].speaker |
SPEAKER_07 |
transcript.pyannote[1620].start |
12263.61659375 |
transcript.pyannote[1620].end |
12265.23659375 |
transcript.pyannote[1621].speaker |
SPEAKER_07 |
transcript.pyannote[1621].start |
12265.54034375 |
transcript.pyannote[1621].end |
12268.99971875 |
transcript.pyannote[1622].speaker |
SPEAKER_07 |
transcript.pyannote[1622].start |
12269.32034375 |
transcript.pyannote[1622].end |
12271.44659375 |
transcript.pyannote[1623].speaker |
SPEAKER_13 |
transcript.pyannote[1623].start |
12271.96971875 |
transcript.pyannote[1623].end |
12282.14534375 |
transcript.pyannote[1624].speaker |
SPEAKER_07 |
transcript.pyannote[1624].start |
12282.14534375 |
transcript.pyannote[1624].end |
12290.49846875 |
transcript.pyannote[1625].speaker |
SPEAKER_13 |
transcript.pyannote[1625].start |
12282.16221875 |
transcript.pyannote[1625].end |
12283.52909375 |
transcript.pyannote[1626].speaker |
SPEAKER_07 |
transcript.pyannote[1626].start |
12291.20721875 |
transcript.pyannote[1626].end |
12292.18596875 |
transcript.pyannote[1627].speaker |
SPEAKER_07 |
transcript.pyannote[1627].start |
12292.87784375 |
transcript.pyannote[1627].end |
12294.04221875 |
transcript.pyannote[1628].speaker |
SPEAKER_07 |
transcript.pyannote[1628].start |
12294.12659375 |
transcript.pyannote[1628].end |
12298.78409375 |
transcript.pyannote[1629].speaker |
SPEAKER_07 |
transcript.pyannote[1629].start |
12299.00346875 |
transcript.pyannote[1629].end |
12331.65659375 |
transcript.pyannote[1630].speaker |
SPEAKER_07 |
transcript.pyannote[1630].start |
12332.16284375 |
transcript.pyannote[1630].end |
12333.02346875 |
transcript.pyannote[1631].speaker |
SPEAKER_07 |
transcript.pyannote[1631].start |
12333.71534375 |
transcript.pyannote[1631].end |
12335.95971875 |
transcript.pyannote[1632].speaker |
SPEAKER_04 |
transcript.pyannote[1632].start |
12339.75659375 |
transcript.pyannote[1632].end |
12368.89971875 |
transcript.pyannote[1633].speaker |
SPEAKER_23 |
transcript.pyannote[1633].start |
12369.92909375 |
transcript.pyannote[1633].end |
12376.96596875 |
transcript.pyannote[1634].speaker |
SPEAKER_07 |
transcript.pyannote[1634].start |
12376.96596875 |
transcript.pyannote[1634].end |
12395.41034375 |
transcript.pyannote[1635].speaker |
SPEAKER_07 |
transcript.pyannote[1635].start |
12395.84909375 |
transcript.pyannote[1635].end |
12409.24784375 |
transcript.pyannote[1636].speaker |
SPEAKER_07 |
transcript.pyannote[1636].start |
12409.61909375 |
transcript.pyannote[1636].end |
12412.04909375 |
transcript.pyannote[1637].speaker |
SPEAKER_13 |
transcript.pyannote[1637].start |
12412.04909375 |
transcript.pyannote[1637].end |
12420.19971875 |
transcript.pyannote[1638].speaker |
SPEAKER_07 |
transcript.pyannote[1638].start |
12419.27159375 |
transcript.pyannote[1638].end |
12421.93784375 |
transcript.pyannote[1639].speaker |
SPEAKER_07 |
transcript.pyannote[1639].start |
12422.42721875 |
transcript.pyannote[1639].end |
12450.01784375 |
transcript.pyannote[1640].speaker |
SPEAKER_13 |
transcript.pyannote[1640].start |
12423.16971875 |
transcript.pyannote[1640].end |
12423.69284375 |
transcript.pyannote[1641].speaker |
SPEAKER_13 |
transcript.pyannote[1641].start |
12452.53221875 |
transcript.pyannote[1641].end |
12492.54284375 |
transcript.pyannote[1642].speaker |
SPEAKER_09 |
transcript.pyannote[1642].start |
12489.25221875 |
transcript.pyannote[1642].end |
12489.58971875 |
transcript.pyannote[1643].speaker |
SPEAKER_07 |
transcript.pyannote[1643].start |
12492.54284375 |
transcript.pyannote[1643].end |
12497.50409375 |
transcript.pyannote[1644].speaker |
SPEAKER_07 |
transcript.pyannote[1644].start |
12497.74034375 |
transcript.pyannote[1644].end |
12500.71034375 |
transcript.pyannote[1645].speaker |
SPEAKER_07 |
transcript.pyannote[1645].start |
12502.53284375 |
transcript.pyannote[1645].end |
12502.58346875 |
transcript.pyannote[1646].speaker |
SPEAKER_13 |
transcript.pyannote[1646].start |
12502.58346875 |
transcript.pyannote[1646].end |
12504.03471875 |
transcript.pyannote[1647].speaker |
SPEAKER_07 |
transcript.pyannote[1647].start |
12505.63784375 |
transcript.pyannote[1647].end |
12510.66659375 |
transcript.pyannote[1648].speaker |
SPEAKER_13 |
transcript.pyannote[1648].start |
12506.63346875 |
transcript.pyannote[1648].end |
12557.93346875 |
transcript.pyannote[1649].speaker |
SPEAKER_07 |
transcript.pyannote[1649].start |
12558.40596875 |
transcript.pyannote[1649].end |
12561.22409375 |
transcript.pyannote[1650].speaker |
SPEAKER_07 |
transcript.pyannote[1650].start |
12561.61221875 |
transcript.pyannote[1650].end |
12579.95534375 |
transcript.pyannote[1651].speaker |
SPEAKER_13 |
transcript.pyannote[1651].start |
12580.37721875 |
transcript.pyannote[1651].end |
12594.75471875 |
transcript.pyannote[1652].speaker |
SPEAKER_07 |
transcript.pyannote[1652].start |
12584.83221875 |
transcript.pyannote[1652].end |
12586.78971875 |
transcript.pyannote[1653].speaker |
SPEAKER_07 |
transcript.pyannote[1653].start |
12594.75471875 |
transcript.pyannote[1653].end |
12615.71346875 |
transcript.pyannote[1654].speaker |
SPEAKER_06 |
transcript.pyannote[1654].start |
12613.16534375 |
transcript.pyannote[1654].end |
12614.02596875 |
transcript.pyannote[1655].speaker |
SPEAKER_06 |
transcript.pyannote[1655].start |
12614.43096875 |
transcript.pyannote[1655].end |
12615.39284375 |
transcript.pyannote[1656].speaker |
SPEAKER_06 |
transcript.pyannote[1656].start |
12617.50221875 |
transcript.pyannote[1656].end |
12619.44284375 |
transcript.pyannote[1657].speaker |
SPEAKER_06 |
transcript.pyannote[1657].start |
12619.78034375 |
transcript.pyannote[1657].end |
12622.48034375 |
transcript.pyannote[1658].speaker |
SPEAKER_20 |
transcript.pyannote[1658].start |
12634.49534375 |
transcript.pyannote[1658].end |
12636.79034375 |
transcript.pyannote[1659].speaker |
SPEAKER_06 |
transcript.pyannote[1659].start |
12637.17846875 |
transcript.pyannote[1659].end |
12639.01784375 |
transcript.pyannote[1660].speaker |
SPEAKER_06 |
transcript.pyannote[1660].start |
12643.06784375 |
transcript.pyannote[1660].end |
12643.65846875 |
transcript.pyannote[1661].speaker |
SPEAKER_13 |
transcript.pyannote[1661].start |
12643.65846875 |
transcript.pyannote[1661].end |
12643.67534375 |
transcript.pyannote[1662].speaker |
SPEAKER_20 |
transcript.pyannote[1662].start |
12644.02971875 |
transcript.pyannote[1662].end |
12645.29534375 |
transcript.pyannote[1663].speaker |
SPEAKER_13 |
transcript.pyannote[1663].start |
12645.32909375 |
transcript.pyannote[1663].end |
12645.34596875 |
transcript.pyannote[1664].speaker |
SPEAKER_20 |
transcript.pyannote[1664].start |
12645.34596875 |
transcript.pyannote[1664].end |
12645.37971875 |
transcript.pyannote[1665].speaker |
SPEAKER_13 |
transcript.pyannote[1665].start |
12645.37971875 |
transcript.pyannote[1665].end |
12645.68346875 |
transcript.pyannote[1666].speaker |
SPEAKER_20 |
transcript.pyannote[1666].start |
12645.68346875 |
transcript.pyannote[1666].end |
12647.05034375 |
transcript.pyannote[1667].speaker |
SPEAKER_13 |
transcript.pyannote[1667].start |
12645.70034375 |
transcript.pyannote[1667].end |
12645.78471875 |
transcript.pyannote[1668].speaker |
SPEAKER_20 |
transcript.pyannote[1668].start |
12647.38784375 |
transcript.pyannote[1668].end |
12649.46346875 |
transcript.pyannote[1669].speaker |
SPEAKER_20 |
transcript.pyannote[1669].start |
12649.59846875 |
transcript.pyannote[1669].end |
12656.50034375 |
transcript.pyannote[1670].speaker |
SPEAKER_20 |
transcript.pyannote[1670].start |
12656.73659375 |
transcript.pyannote[1670].end |
12660.21284375 |
transcript.pyannote[1671].speaker |
SPEAKER_20 |
transcript.pyannote[1671].start |
12660.39846875 |
transcript.pyannote[1671].end |
12668.80221875 |
transcript.pyannote[1672].speaker |
SPEAKER_20 |
transcript.pyannote[1672].start |
12669.00471875 |
transcript.pyannote[1672].end |
12673.34159375 |
transcript.pyannote[1673].speaker |
SPEAKER_20 |
transcript.pyannote[1673].start |
12673.42596875 |
transcript.pyannote[1673].end |
12693.38909375 |
transcript.pyannote[1674].speaker |
SPEAKER_20 |
transcript.pyannote[1674].start |
12693.65909375 |
transcript.pyannote[1674].end |
12695.00909375 |
transcript.pyannote[1675].speaker |
SPEAKER_20 |
transcript.pyannote[1675].start |
12695.31284375 |
transcript.pyannote[1675].end |
12696.76409375 |
transcript.pyannote[1676].speaker |
SPEAKER_20 |
transcript.pyannote[1676].start |
12696.93284375 |
transcript.pyannote[1676].end |
12727.05471875 |
transcript.pyannote[1677].speaker |
SPEAKER_00 |
transcript.pyannote[1677].start |
12717.67221875 |
transcript.pyannote[1677].end |
12717.68909375 |
transcript.pyannote[1678].speaker |
SPEAKER_00 |
transcript.pyannote[1678].start |
12717.73971875 |
transcript.pyannote[1678].end |
12717.85784375 |
transcript.pyannote[1679].speaker |
SPEAKER_13 |
transcript.pyannote[1679].start |
12730.64909375 |
transcript.pyannote[1679].end |
12820.64346875 |
transcript.pyannote[1680].speaker |
SPEAKER_00 |
transcript.pyannote[1680].start |
12742.17471875 |
transcript.pyannote[1680].end |
12743.33909375 |
transcript.pyannote[1681].speaker |
SPEAKER_00 |
transcript.pyannote[1681].start |
12750.27471875 |
transcript.pyannote[1681].end |
12751.06784375 |
transcript.pyannote[1682].speaker |
SPEAKER_00 |
transcript.pyannote[1682].start |
12788.90159375 |
transcript.pyannote[1682].end |
12789.03659375 |
transcript.pyannote[1683].speaker |
SPEAKER_21 |
transcript.pyannote[1683].start |
12789.03659375 |
transcript.pyannote[1683].end |
12789.10409375 |
transcript.pyannote[1684].speaker |
SPEAKER_00 |
transcript.pyannote[1684].start |
12789.10409375 |
transcript.pyannote[1684].end |
12789.23909375 |
transcript.pyannote[1685].speaker |
SPEAKER_20 |
transcript.pyannote[1685].start |
12820.76159375 |
transcript.pyannote[1685].end |
12825.35159375 |
transcript.pyannote[1686].speaker |
SPEAKER_20 |
transcript.pyannote[1686].start |
12825.45284375 |
transcript.pyannote[1686].end |
12826.87034375 |
transcript.pyannote[1687].speaker |
SPEAKER_20 |
transcript.pyannote[1687].start |
12827.05596875 |
transcript.pyannote[1687].end |
12832.75971875 |
transcript.pyannote[1688].speaker |
SPEAKER_20 |
transcript.pyannote[1688].start |
12832.86096875 |
transcript.pyannote[1688].end |
12839.67846875 |
transcript.pyannote[1689].speaker |
SPEAKER_20 |
transcript.pyannote[1689].start |
12839.88096875 |
transcript.pyannote[1689].end |
12841.80471875 |
transcript.pyannote[1690].speaker |
SPEAKER_20 |
transcript.pyannote[1690].start |
12841.95659375 |
transcript.pyannote[1690].end |
12861.44721875 |
transcript.pyannote[1691].speaker |
SPEAKER_20 |
transcript.pyannote[1691].start |
12861.66659375 |
transcript.pyannote[1691].end |
12864.50159375 |
transcript.pyannote[1692].speaker |
SPEAKER_20 |
transcript.pyannote[1692].start |
12864.68721875 |
transcript.pyannote[1692].end |
12865.86846875 |
transcript.pyannote[1693].speaker |
SPEAKER_20 |
transcript.pyannote[1693].start |
12866.00346875 |
transcript.pyannote[1693].end |
12871.01534375 |
transcript.pyannote[1694].speaker |
SPEAKER_20 |
transcript.pyannote[1694].start |
12871.42034375 |
transcript.pyannote[1694].end |
12875.89221875 |
transcript.pyannote[1695].speaker |
SPEAKER_13 |
transcript.pyannote[1695].start |
12876.46596875 |
transcript.pyannote[1695].end |
12886.99596875 |
transcript.pyannote[1696].speaker |
SPEAKER_20 |
transcript.pyannote[1696].start |
12886.99596875 |
transcript.pyannote[1696].end |
12902.60534375 |
transcript.pyannote[1697].speaker |
SPEAKER_00 |
transcript.pyannote[1697].start |
12894.57284375 |
transcript.pyannote[1697].end |
12894.58971875 |
transcript.pyannote[1698].speaker |
SPEAKER_13 |
transcript.pyannote[1698].start |
12894.58971875 |
transcript.pyannote[1698].end |
12895.92284375 |
transcript.pyannote[1699].speaker |
SPEAKER_13 |
transcript.pyannote[1699].start |
12898.16721875 |
transcript.pyannote[1699].end |
12898.80846875 |
transcript.pyannote[1700].speaker |
SPEAKER_13 |
transcript.pyannote[1700].start |
12901.69409375 |
transcript.pyannote[1700].end |
12905.25471875 |
transcript.pyannote[1701].speaker |
SPEAKER_20 |
transcript.pyannote[1701].start |
12904.37721875 |
transcript.pyannote[1701].end |
12914.73846875 |
transcript.pyannote[1702].speaker |
SPEAKER_13 |
transcript.pyannote[1702].start |
12905.86221875 |
transcript.pyannote[1702].end |
12906.23346875 |
transcript.pyannote[1703].speaker |
SPEAKER_13 |
transcript.pyannote[1703].start |
12909.55784375 |
transcript.pyannote[1703].end |
12910.16534375 |
transcript.pyannote[1704].speaker |
SPEAKER_21 |
transcript.pyannote[1704].start |
12910.16534375 |
transcript.pyannote[1704].end |
12910.33409375 |
transcript.pyannote[1705].speaker |
SPEAKER_21 |
transcript.pyannote[1705].start |
12914.48534375 |
transcript.pyannote[1705].end |
12915.21096875 |
transcript.pyannote[1706].speaker |
SPEAKER_20 |
transcript.pyannote[1706].start |
12915.21096875 |
transcript.pyannote[1706].end |
12919.37909375 |
transcript.pyannote[1707].speaker |
SPEAKER_20 |
transcript.pyannote[1707].start |
12919.66596875 |
transcript.pyannote[1707].end |
12921.47159375 |
transcript.pyannote[1708].speaker |
SPEAKER_20 |
transcript.pyannote[1708].start |
12922.14659375 |
transcript.pyannote[1708].end |
12926.90534375 |
transcript.pyannote[1709].speaker |
SPEAKER_20 |
transcript.pyannote[1709].start |
12926.95596875 |
transcript.pyannote[1709].end |
12935.81534375 |
transcript.pyannote[1710].speaker |
SPEAKER_20 |
transcript.pyannote[1710].start |
12935.88284375 |
transcript.pyannote[1710].end |
12959.08596875 |
transcript.pyannote[1711].speaker |
SPEAKER_20 |
transcript.pyannote[1711].start |
12959.49096875 |
transcript.pyannote[1711].end |
12976.60221875 |
transcript.pyannote[1712].speaker |
SPEAKER_04 |
transcript.pyannote[1712].start |
12978.64409375 |
transcript.pyannote[1712].end |
12985.66409375 |
transcript.pyannote[1713].speaker |
SPEAKER_20 |
transcript.pyannote[1713].start |
12983.52096875 |
transcript.pyannote[1713].end |
12984.80346875 |
transcript.pyannote[1714].speaker |
SPEAKER_20 |
transcript.pyannote[1714].start |
12985.17471875 |
transcript.pyannote[1714].end |
12987.30096875 |
transcript.pyannote[1715].speaker |
SPEAKER_04 |
transcript.pyannote[1715].start |
12986.82846875 |
transcript.pyannote[1715].end |
12987.33471875 |
transcript.pyannote[1716].speaker |
SPEAKER_04 |
transcript.pyannote[1716].start |
12987.75659375 |
transcript.pyannote[1716].end |
12988.51596875 |
transcript.pyannote[1717].speaker |
SPEAKER_20 |
transcript.pyannote[1717].start |
12988.88721875 |
transcript.pyannote[1717].end |
12990.47346875 |
transcript.pyannote[1718].speaker |
SPEAKER_04 |
transcript.pyannote[1718].start |
12989.86596875 |
transcript.pyannote[1718].end |
13009.00221875 |
transcript.pyannote[1719].speaker |
SPEAKER_20 |
transcript.pyannote[1719].start |
12994.42221875 |
transcript.pyannote[1719].end |
12994.94534375 |
transcript.pyannote[1720].speaker |
SPEAKER_21 |
transcript.pyannote[1720].start |
12994.94534375 |
transcript.pyannote[1720].end |
12994.96221875 |
transcript.pyannote[1721].speaker |
SPEAKER_21 |
transcript.pyannote[1721].start |
12999.45096875 |
transcript.pyannote[1721].end |
13000.21034375 |
transcript.pyannote[1722].speaker |
SPEAKER_20 |
transcript.pyannote[1722].start |
13002.74159375 |
transcript.pyannote[1722].end |
13003.06221875 |
transcript.pyannote[1723].speaker |
SPEAKER_20 |
transcript.pyannote[1723].start |
13006.45409375 |
transcript.pyannote[1723].end |
13007.82096875 |
transcript.pyannote[1724].speaker |
SPEAKER_20 |
transcript.pyannote[1724].start |
13008.64784375 |
transcript.pyannote[1724].end |
13013.47409375 |
transcript.pyannote[1725].speaker |
SPEAKER_04 |
transcript.pyannote[1725].start |
13013.18721875 |
transcript.pyannote[1725].end |
13013.42346875 |
transcript.pyannote[1726].speaker |
SPEAKER_04 |
transcript.pyannote[1726].start |
13013.47409375 |
transcript.pyannote[1726].end |
13014.25034375 |
transcript.pyannote[1727].speaker |
SPEAKER_20 |
transcript.pyannote[1727].start |
13014.13221875 |
transcript.pyannote[1727].end |
13020.51096875 |
transcript.pyannote[1728].speaker |
SPEAKER_04 |
transcript.pyannote[1728].start |
13021.06784375 |
transcript.pyannote[1728].end |
13026.40034375 |
transcript.pyannote[1729].speaker |
SPEAKER_20 |
transcript.pyannote[1729].start |
13027.80096875 |
transcript.pyannote[1729].end |
13034.65221875 |
transcript.pyannote[1730].speaker |
SPEAKER_20 |
transcript.pyannote[1730].start |
13034.78721875 |
transcript.pyannote[1730].end |
13040.49096875 |
transcript.pyannote[1731].speaker |
SPEAKER_04 |
transcript.pyannote[1731].start |
13041.03096875 |
transcript.pyannote[1731].end |
13041.55409375 |
transcript.pyannote[1732].speaker |
SPEAKER_20 |
transcript.pyannote[1732].start |
13041.13221875 |
transcript.pyannote[1732].end |
13044.42284375 |
transcript.pyannote[1733].speaker |
SPEAKER_04 |
transcript.pyannote[1733].start |
13044.42284375 |
transcript.pyannote[1733].end |
13045.60409375 |
transcript.pyannote[1734].speaker |
SPEAKER_20 |
transcript.pyannote[1734].start |
13045.67159375 |
transcript.pyannote[1734].end |
13045.68846875 |
transcript.pyannote[1735].speaker |
SPEAKER_20 |
transcript.pyannote[1735].start |
13045.70534375 |
transcript.pyannote[1735].end |
13047.40971875 |
transcript.pyannote[1736].speaker |
SPEAKER_04 |
transcript.pyannote[1736].start |
13046.78534375 |
transcript.pyannote[1736].end |
13047.67971875 |
transcript.pyannote[1737].speaker |
SPEAKER_20 |
transcript.pyannote[1737].start |
13047.67971875 |
transcript.pyannote[1737].end |
13071.06846875 |
transcript.pyannote[1738].speaker |
SPEAKER_20 |
transcript.pyannote[1738].start |
13071.18659375 |
transcript.pyannote[1738].end |
13073.31284375 |
transcript.pyannote[1739].speaker |
SPEAKER_20 |
transcript.pyannote[1739].start |
13073.93721875 |
transcript.pyannote[1739].end |
13089.74909375 |
transcript.pyannote[1740].speaker |
SPEAKER_20 |
transcript.pyannote[1740].start |
13090.25534375 |
transcript.pyannote[1740].end |
13092.97221875 |
transcript.pyannote[1741].speaker |
SPEAKER_20 |
transcript.pyannote[1741].start |
13093.29284375 |
transcript.pyannote[1741].end |
13098.00096875 |
transcript.pyannote[1742].speaker |
SPEAKER_20 |
transcript.pyannote[1742].start |
13098.45659375 |
transcript.pyannote[1742].end |
13103.08034375 |
transcript.pyannote[1743].speaker |
SPEAKER_20 |
transcript.pyannote[1743].start |
13103.24909375 |
transcript.pyannote[1743].end |
13110.28596875 |
transcript.pyannote[1744].speaker |
SPEAKER_20 |
transcript.pyannote[1744].start |
13110.47159375 |
transcript.pyannote[1744].end |
13118.53784375 |
transcript.pyannote[1745].speaker |
SPEAKER_20 |
transcript.pyannote[1745].start |
13118.70659375 |
transcript.pyannote[1745].end |
13127.48159375 |
transcript.pyannote[1746].speaker |
SPEAKER_20 |
transcript.pyannote[1746].start |
13128.02159375 |
transcript.pyannote[1746].end |
13130.94096875 |
transcript.pyannote[1747].speaker |
SPEAKER_20 |
transcript.pyannote[1747].start |
13131.39659375 |
transcript.pyannote[1747].end |
13133.47221875 |
transcript.pyannote[1748].speaker |
SPEAKER_04 |
transcript.pyannote[1748].start |
13134.29909375 |
transcript.pyannote[1748].end |
13185.70034375 |
transcript.pyannote[1749].speaker |
SPEAKER_24 |
transcript.pyannote[1749].start |
13145.03159375 |
transcript.pyannote[1749].end |
13145.58846875 |
transcript.pyannote[1750].speaker |
SPEAKER_04 |
transcript.pyannote[1750].start |
13185.90284375 |
transcript.pyannote[1750].end |
13210.13534375 |
transcript.pyannote[1751].speaker |
SPEAKER_17 |
transcript.pyannote[1751].start |
13187.55659375 |
transcript.pyannote[1751].end |
13187.57346875 |
transcript.pyannote[1752].speaker |
SPEAKER_21 |
transcript.pyannote[1752].start |
13187.57346875 |
transcript.pyannote[1752].end |
13187.64096875 |
transcript.pyannote[1753].speaker |
SPEAKER_17 |
transcript.pyannote[1753].start |
13187.64096875 |
transcript.pyannote[1753].end |
13187.65784375 |
transcript.pyannote[1754].speaker |
SPEAKER_20 |
transcript.pyannote[1754].start |
13210.37159375 |
transcript.pyannote[1754].end |
13213.64534375 |
transcript.pyannote[1755].speaker |
SPEAKER_20 |
transcript.pyannote[1755].start |
13213.86471875 |
transcript.pyannote[1755].end |
13215.04596875 |
transcript.pyannote[1756].speaker |
SPEAKER_20 |
transcript.pyannote[1756].start |
13215.16409375 |
transcript.pyannote[1756].end |
13220.59784375 |
transcript.pyannote[1757].speaker |
SPEAKER_04 |
transcript.pyannote[1757].start |
13221.03659375 |
transcript.pyannote[1757].end |
13223.46659375 |
transcript.pyannote[1758].speaker |
SPEAKER_04 |
transcript.pyannote[1758].start |
13223.93909375 |
transcript.pyannote[1758].end |
13243.68284375 |
transcript.pyannote[1759].speaker |
SPEAKER_20 |
transcript.pyannote[1759].start |
13243.95284375 |
transcript.pyannote[1759].end |
13258.54971875 |
transcript.pyannote[1760].speaker |
SPEAKER_20 |
transcript.pyannote[1760].start |
13258.88721875 |
transcript.pyannote[1760].end |
13259.78159375 |
transcript.pyannote[1761].speaker |
SPEAKER_13 |
transcript.pyannote[1761].start |
13259.78159375 |
transcript.pyannote[1761].end |
13260.94596875 |
transcript.pyannote[1762].speaker |
SPEAKER_06 |
transcript.pyannote[1762].start |
13262.22846875 |
transcript.pyannote[1762].end |
13264.79346875 |
transcript.pyannote[1763].speaker |
SPEAKER_06 |
transcript.pyannote[1763].start |
13264.91159375 |
transcript.pyannote[1763].end |
13267.45971875 |
transcript.pyannote[1764].speaker |
SPEAKER_19 |
transcript.pyannote[1764].start |
13273.80471875 |
transcript.pyannote[1764].end |
13276.70721875 |
transcript.pyannote[1765].speaker |
SPEAKER_06 |
transcript.pyannote[1765].start |
13276.96034375 |
transcript.pyannote[1765].end |
13278.66471875 |
transcript.pyannote[1766].speaker |
SPEAKER_19 |
transcript.pyannote[1766].start |
13284.04784375 |
transcript.pyannote[1766].end |
13284.87471875 |
transcript.pyannote[1767].speaker |
SPEAKER_21 |
transcript.pyannote[1767].start |
13284.77346875 |
transcript.pyannote[1767].end |
13284.84096875 |
transcript.pyannote[1768].speaker |
SPEAKER_06 |
transcript.pyannote[1768].start |
13284.87471875 |
transcript.pyannote[1768].end |
13284.92534375 |
transcript.pyannote[1769].speaker |
SPEAKER_19 |
transcript.pyannote[1769].start |
13284.92534375 |
transcript.pyannote[1769].end |
13284.97596875 |
transcript.pyannote[1770].speaker |
SPEAKER_21 |
transcript.pyannote[1770].start |
13284.97596875 |
transcript.pyannote[1770].end |
13285.33034375 |
transcript.pyannote[1771].speaker |
SPEAKER_19 |
transcript.pyannote[1771].start |
13285.33034375 |
transcript.pyannote[1771].end |
13306.44096875 |
transcript.pyannote[1772].speaker |
SPEAKER_21 |
transcript.pyannote[1772].start |
13285.38096875 |
transcript.pyannote[1772].end |
13285.53284375 |
transcript.pyannote[1773].speaker |
SPEAKER_19 |
transcript.pyannote[1773].start |
13306.62659375 |
transcript.pyannote[1773].end |
13309.90034375 |
transcript.pyannote[1774].speaker |
SPEAKER_19 |
transcript.pyannote[1774].start |
13310.10284375 |
transcript.pyannote[1774].end |
13313.14034375 |
transcript.pyannote[1775].speaker |
SPEAKER_19 |
transcript.pyannote[1775].start |
13313.44409375 |
transcript.pyannote[1775].end |
13314.20346875 |
transcript.pyannote[1776].speaker |
SPEAKER_19 |
transcript.pyannote[1776].start |
13314.42284375 |
transcript.pyannote[1776].end |
13351.69971875 |
transcript.pyannote[1777].speaker |
SPEAKER_19 |
transcript.pyannote[1777].start |
13352.07096875 |
transcript.pyannote[1777].end |
13355.26034375 |
transcript.pyannote[1778].speaker |
SPEAKER_19 |
transcript.pyannote[1778].start |
13355.64846875 |
transcript.pyannote[1778].end |
13393.48221875 |
transcript.pyannote[1779].speaker |
SPEAKER_13 |
transcript.pyannote[1779].start |
13393.48221875 |
transcript.pyannote[1779].end |
13394.71409375 |
transcript.pyannote[1780].speaker |
SPEAKER_19 |
transcript.pyannote[1780].start |
13394.71409375 |
transcript.pyannote[1780].end |
13409.39534375 |
transcript.pyannote[1781].speaker |
SPEAKER_13 |
transcript.pyannote[1781].start |
13401.17721875 |
transcript.pyannote[1781].end |
13402.13909375 |
transcript.pyannote[1782].speaker |
SPEAKER_13 |
transcript.pyannote[1782].start |
13403.20221875 |
transcript.pyannote[1782].end |
13403.59034375 |
transcript.pyannote[1783].speaker |
SPEAKER_13 |
transcript.pyannote[1783].start |
13407.40409375 |
transcript.pyannote[1783].end |
13412.36534375 |
transcript.pyannote[1784].speaker |
SPEAKER_19 |
transcript.pyannote[1784].start |
13411.48784375 |
transcript.pyannote[1784].end |
13431.31596875 |
transcript.pyannote[1785].speaker |
SPEAKER_19 |
transcript.pyannote[1785].start |
13431.77159375 |
transcript.pyannote[1785].end |
13458.92346875 |
transcript.pyannote[1786].speaker |
SPEAKER_19 |
transcript.pyannote[1786].start |
13459.29471875 |
transcript.pyannote[1786].end |
13460.67846875 |
transcript.pyannote[1787].speaker |
SPEAKER_19 |
transcript.pyannote[1787].start |
13461.42096875 |
transcript.pyannote[1787].end |
13463.42909375 |
transcript.pyannote[1788].speaker |
SPEAKER_13 |
transcript.pyannote[1788].start |
13463.78346875 |
transcript.pyannote[1788].end |
13466.60159375 |
transcript.pyannote[1789].speaker |
SPEAKER_19 |
transcript.pyannote[1789].start |
13466.44971875 |
transcript.pyannote[1789].end |
13501.43159375 |
transcript.pyannote[1790].speaker |
SPEAKER_13 |
transcript.pyannote[1790].start |
13467.76596875 |
transcript.pyannote[1790].end |
13468.10346875 |
transcript.pyannote[1791].speaker |
SPEAKER_19 |
transcript.pyannote[1791].start |
13501.78596875 |
transcript.pyannote[1791].end |
13515.42096875 |
transcript.pyannote[1792].speaker |
SPEAKER_19 |
transcript.pyannote[1792].start |
13515.82596875 |
transcript.pyannote[1792].end |
13525.00596875 |
transcript.pyannote[1793].speaker |
SPEAKER_19 |
transcript.pyannote[1793].start |
13525.57971875 |
transcript.pyannote[1793].end |
13533.13971875 |
transcript.pyannote[1794].speaker |
SPEAKER_19 |
transcript.pyannote[1794].start |
13533.98346875 |
transcript.pyannote[1794].end |
13537.08846875 |
transcript.pyannote[1795].speaker |
SPEAKER_19 |
transcript.pyannote[1795].start |
13537.44284375 |
transcript.pyannote[1795].end |
13546.57221875 |
transcript.pyannote[1796].speaker |
SPEAKER_19 |
transcript.pyannote[1796].start |
13547.65221875 |
transcript.pyannote[1796].end |
13553.45721875 |
transcript.pyannote[1797].speaker |
SPEAKER_19 |
transcript.pyannote[1797].start |
13553.96346875 |
transcript.pyannote[1797].end |
13562.63721875 |
transcript.pyannote[1798].speaker |
SPEAKER_19 |
transcript.pyannote[1798].start |
13562.73846875 |
transcript.pyannote[1798].end |
13581.52034375 |
transcript.pyannote[1799].speaker |
SPEAKER_19 |
transcript.pyannote[1799].start |
13581.60471875 |
transcript.pyannote[1799].end |
13588.92846875 |
transcript.pyannote[1800].speaker |
SPEAKER_19 |
transcript.pyannote[1800].start |
13590.37971875 |
transcript.pyannote[1800].end |
13592.59034375 |
transcript.pyannote[1801].speaker |
SPEAKER_19 |
transcript.pyannote[1801].start |
13593.21471875 |
transcript.pyannote[1801].end |
13597.36596875 |
transcript.pyannote[1802].speaker |
SPEAKER_19 |
transcript.pyannote[1802].start |
13597.73721875 |
transcript.pyannote[1802].end |
13597.95659375 |
transcript.pyannote[1803].speaker |
SPEAKER_19 |
transcript.pyannote[1803].start |
13598.42909375 |
transcript.pyannote[1803].end |
13599.93096875 |
transcript.pyannote[1804].speaker |
SPEAKER_13 |
transcript.pyannote[1804].start |
13601.06159375 |
transcript.pyannote[1804].end |
13644.43034375 |
transcript.pyannote[1805].speaker |
SPEAKER_19 |
transcript.pyannote[1805].start |
13637.42721875 |
transcript.pyannote[1805].end |
13641.34221875 |
transcript.pyannote[1806].speaker |
SPEAKER_19 |
transcript.pyannote[1806].start |
13642.16909375 |
transcript.pyannote[1806].end |
13648.71659375 |
transcript.pyannote[1807].speaker |
SPEAKER_19 |
transcript.pyannote[1807].start |
13649.02034375 |
transcript.pyannote[1807].end |
13661.92971875 |
transcript.pyannote[1808].speaker |
SPEAKER_19 |
transcript.pyannote[1808].start |
13662.33471875 |
transcript.pyannote[1808].end |
13703.93159375 |
transcript.pyannote[1809].speaker |
SPEAKER_00 |
transcript.pyannote[1809].start |
13666.94159375 |
transcript.pyannote[1809].end |
13667.31284375 |
transcript.pyannote[1810].speaker |
SPEAKER_13 |
transcript.pyannote[1810].start |
13706.47971875 |
transcript.pyannote[1810].end |
13716.18284375 |
transcript.pyannote[1811].speaker |
SPEAKER_19 |
transcript.pyannote[1811].start |
13715.65971875 |
transcript.pyannote[1811].end |
13728.13034375 |
transcript.pyannote[1812].speaker |
SPEAKER_13 |
transcript.pyannote[1812].start |
13717.16159375 |
transcript.pyannote[1812].end |
13719.35534375 |
transcript.pyannote[1813].speaker |
SPEAKER_13 |
transcript.pyannote[1813].start |
13722.66284375 |
transcript.pyannote[1813].end |
13724.72159375 |
transcript.pyannote[1814].speaker |
SPEAKER_13 |
transcript.pyannote[1814].start |
13725.90284375 |
transcript.pyannote[1814].end |
13727.18534375 |
transcript.pyannote[1815].speaker |
SPEAKER_13 |
transcript.pyannote[1815].start |
13729.14284375 |
transcript.pyannote[1815].end |
13729.83471875 |
transcript.pyannote[1816].speaker |
SPEAKER_19 |
transcript.pyannote[1816].start |
13729.44659375 |
transcript.pyannote[1816].end |
13729.85159375 |
transcript.pyannote[1817].speaker |
SPEAKER_13 |
transcript.pyannote[1817].start |
13729.85159375 |
transcript.pyannote[1817].end |
13729.86846875 |
transcript.pyannote[1818].speaker |
SPEAKER_19 |
transcript.pyannote[1818].start |
13729.86846875 |
transcript.pyannote[1818].end |
13730.59409375 |
transcript.pyannote[1819].speaker |
SPEAKER_13 |
transcript.pyannote[1819].start |
13730.59409375 |
transcript.pyannote[1819].end |
13759.72034375 |
transcript.pyannote[1820].speaker |
SPEAKER_19 |
transcript.pyannote[1820].start |
13730.61096875 |
transcript.pyannote[1820].end |
13730.66159375 |
transcript.pyannote[1821].speaker |
SPEAKER_19 |
transcript.pyannote[1821].start |
13746.94596875 |
transcript.pyannote[1821].end |
13749.39284375 |
transcript.pyannote[1822].speaker |
SPEAKER_19 |
transcript.pyannote[1822].start |
13756.14284375 |
transcript.pyannote[1822].end |
13758.08346875 |
transcript.pyannote[1823].speaker |
SPEAKER_19 |
transcript.pyannote[1823].start |
13758.77534375 |
transcript.pyannote[1823].end |
13760.95221875 |
transcript.pyannote[1824].speaker |
SPEAKER_19 |
transcript.pyannote[1824].start |
13761.37409375 |
transcript.pyannote[1824].end |
13780.20659375 |
transcript.pyannote[1825].speaker |
SPEAKER_19 |
transcript.pyannote[1825].start |
13780.40909375 |
transcript.pyannote[1825].end |
13783.15971875 |
transcript.pyannote[1826].speaker |
SPEAKER_13 |
transcript.pyannote[1826].start |
13780.44284375 |
transcript.pyannote[1826].end |
13795.95096875 |
transcript.pyannote[1827].speaker |
SPEAKER_19 |
transcript.pyannote[1827].start |
13789.16721875 |
transcript.pyannote[1827].end |
13789.84221875 |
transcript.pyannote[1828].speaker |
SPEAKER_19 |
transcript.pyannote[1828].start |
13793.65596875 |
transcript.pyannote[1828].end |
13846.67721875 |
transcript.pyannote[1829].speaker |
SPEAKER_19 |
transcript.pyannote[1829].start |
13847.33534375 |
transcript.pyannote[1829].end |
13866.37034375 |
transcript.pyannote[1830].speaker |
SPEAKER_19 |
transcript.pyannote[1830].start |
13867.11284375 |
transcript.pyannote[1830].end |
13879.27971875 |
transcript.pyannote[1831].speaker |
SPEAKER_19 |
transcript.pyannote[1831].start |
13879.75221875 |
transcript.pyannote[1831].end |
13893.96096875 |
transcript.pyannote[1832].speaker |
SPEAKER_19 |
transcript.pyannote[1832].start |
13894.72034375 |
transcript.pyannote[1832].end |
13910.09346875 |
transcript.pyannote[1833].speaker |
SPEAKER_13 |
transcript.pyannote[1833].start |
13911.79784375 |
transcript.pyannote[1833].end |
13943.38784375 |
transcript.pyannote[1834].speaker |
SPEAKER_03 |
transcript.pyannote[1834].start |
13919.32409375 |
transcript.pyannote[1834].end |
13919.96534375 |
transcript.pyannote[1835].speaker |
SPEAKER_00 |
transcript.pyannote[1835].start |
13919.96534375 |
transcript.pyannote[1835].end |
13920.03284375 |
transcript.pyannote[1836].speaker |
SPEAKER_21 |
transcript.pyannote[1836].start |
13920.03284375 |
transcript.pyannote[1836].end |
13920.62346875 |
transcript.pyannote[1837].speaker |
SPEAKER_19 |
transcript.pyannote[1837].start |
13941.26159375 |
transcript.pyannote[1837].end |
13953.07409375 |
transcript.pyannote[1838].speaker |
SPEAKER_19 |
transcript.pyannote[1838].start |
13953.24284375 |
transcript.pyannote[1838].end |
13955.35221875 |
transcript.pyannote[1839].speaker |
SPEAKER_13 |
transcript.pyannote[1839].start |
13954.64346875 |
transcript.pyannote[1839].end |
13956.83721875 |
transcript.pyannote[1840].speaker |
SPEAKER_19 |
transcript.pyannote[1840].start |
13955.92596875 |
transcript.pyannote[1840].end |
14014.29659375 |
transcript.pyannote[1841].speaker |
SPEAKER_13 |
transcript.pyannote[1841].start |
13958.11971875 |
transcript.pyannote[1841].end |
13958.81159375 |
transcript.pyannote[1842].speaker |
SPEAKER_13 |
transcript.pyannote[1842].start |
14015.24159375 |
transcript.pyannote[1842].end |
14030.02409375 |
transcript.pyannote[1843].speaker |
SPEAKER_13 |
transcript.pyannote[1843].start |
14030.59784375 |
transcript.pyannote[1843].end |
14033.11221875 |
transcript.pyannote[1844].speaker |
SPEAKER_19 |
transcript.pyannote[1844].start |
14032.47096875 |
transcript.pyannote[1844].end |
14049.86909375 |
transcript.pyannote[1845].speaker |
SPEAKER_13 |
transcript.pyannote[1845].start |
14033.87159375 |
transcript.pyannote[1845].end |
14034.34409375 |
transcript.pyannote[1846].speaker |
SPEAKER_13 |
transcript.pyannote[1846].start |
14035.18784375 |
transcript.pyannote[1846].end |
14036.70659375 |
transcript.pyannote[1847].speaker |
SPEAKER_13 |
transcript.pyannote[1847].start |
14047.62471875 |
transcript.pyannote[1847].end |
14049.00846875 |
transcript.pyannote[1848].speaker |
SPEAKER_19 |
transcript.pyannote[1848].start |
14050.20659375 |
transcript.pyannote[1848].end |
14066.08596875 |
transcript.pyannote[1849].speaker |
SPEAKER_06 |
transcript.pyannote[1849].start |
14066.23784375 |
transcript.pyannote[1849].end |
14066.28846875 |
transcript.pyannote[1850].speaker |
SPEAKER_13 |
transcript.pyannote[1850].start |
14066.28846875 |
transcript.pyannote[1850].end |
14067.03096875 |
transcript.pyannote[1851].speaker |
SPEAKER_06 |
transcript.pyannote[1851].start |
14067.03096875 |
transcript.pyannote[1851].end |
14069.89971875 |
transcript.pyannote[1852].speaker |
SPEAKER_13 |
transcript.pyannote[1852].start |
14067.46971875 |
transcript.pyannote[1852].end |
14067.48659375 |
transcript.pyannote[1853].speaker |
SPEAKER_19 |
transcript.pyannote[1853].start |
14067.48659375 |
transcript.pyannote[1853].end |
14070.89534375 |
transcript.pyannote[1854].speaker |
SPEAKER_06 |
transcript.pyannote[1854].start |
14070.35534375 |
transcript.pyannote[1854].end |
14070.38909375 |
transcript.pyannote[1855].speaker |
SPEAKER_06 |
transcript.pyannote[1855].start |
14070.89534375 |
transcript.pyannote[1855].end |
14071.11471875 |
transcript.pyannote[1856].speaker |
SPEAKER_06 |
transcript.pyannote[1856].start |
14071.63784375 |
transcript.pyannote[1856].end |
14073.73034375 |
transcript.pyannote[1857].speaker |
SPEAKER_06 |
transcript.pyannote[1857].start |
14074.40534375 |
transcript.pyannote[1857].end |
14077.00409375 |
transcript.pyannote[1858].speaker |
SPEAKER_06 |
transcript.pyannote[1858].start |
14086.01534375 |
transcript.pyannote[1858].end |
14086.48784375 |
transcript.pyannote[1859].speaker |
SPEAKER_11 |
transcript.pyannote[1859].start |
14086.48784375 |
transcript.pyannote[1859].end |
14088.59721875 |
transcript.pyannote[1860].speaker |
SPEAKER_06 |
transcript.pyannote[1860].start |
14088.71534375 |
transcript.pyannote[1860].end |
14089.30596875 |
transcript.pyannote[1861].speaker |
SPEAKER_06 |
transcript.pyannote[1861].start |
14089.49159375 |
transcript.pyannote[1861].end |
14090.58846875 |
transcript.pyannote[1862].speaker |
SPEAKER_11 |
transcript.pyannote[1862].start |
14094.94221875 |
transcript.pyannote[1862].end |
14160.04596875 |
transcript.pyannote[1863].speaker |
SPEAKER_11 |
transcript.pyannote[1863].start |
14160.38346875 |
transcript.pyannote[1863].end |
14163.08346875 |
transcript.pyannote[1864].speaker |
SPEAKER_04 |
transcript.pyannote[1864].start |
14166.47534375 |
transcript.pyannote[1864].end |
14187.02909375 |
transcript.pyannote[1865].speaker |
SPEAKER_11 |
transcript.pyannote[1865].start |
14187.36659375 |
transcript.pyannote[1865].end |
14237.14784375 |
transcript.pyannote[1866].speaker |
SPEAKER_04 |
transcript.pyannote[1866].start |
14239.74659375 |
transcript.pyannote[1866].end |
14250.88409375 |
transcript.pyannote[1867].speaker |
SPEAKER_00 |
transcript.pyannote[1867].start |
14249.85471875 |
transcript.pyannote[1867].end |
14250.52971875 |
transcript.pyannote[1868].speaker |
SPEAKER_04 |
transcript.pyannote[1868].start |
14250.96846875 |
transcript.pyannote[1868].end |
14272.48409375 |
transcript.pyannote[1869].speaker |
SPEAKER_00 |
transcript.pyannote[1869].start |
14253.39846875 |
transcript.pyannote[1869].end |
14253.56721875 |
transcript.pyannote[1870].speaker |
SPEAKER_04 |
transcript.pyannote[1870].start |
14272.93971875 |
transcript.pyannote[1870].end |
14298.03284375 |
transcript.pyannote[1871].speaker |
SPEAKER_04 |
transcript.pyannote[1871].start |
14298.38721875 |
transcript.pyannote[1871].end |
14319.76784375 |
transcript.pyannote[1872].speaker |
SPEAKER_11 |
transcript.pyannote[1872].start |
14319.76784375 |
transcript.pyannote[1872].end |
14333.43659375 |
transcript.pyannote[1873].speaker |
SPEAKER_11 |
transcript.pyannote[1873].start |
14333.72346875 |
transcript.pyannote[1873].end |
14342.86971875 |
transcript.pyannote[1874].speaker |
SPEAKER_11 |
transcript.pyannote[1874].start |
14343.08909375 |
transcript.pyannote[1874].end |
14352.91034375 |
transcript.pyannote[1875].speaker |
SPEAKER_11 |
transcript.pyannote[1875].start |
14353.31534375 |
transcript.pyannote[1875].end |
14358.61409375 |
transcript.pyannote[1876].speaker |
SPEAKER_11 |
transcript.pyannote[1876].start |
14358.79971875 |
transcript.pyannote[1876].end |
14366.46096875 |
transcript.pyannote[1877].speaker |
SPEAKER_11 |
transcript.pyannote[1877].start |
14366.96721875 |
transcript.pyannote[1877].end |
14368.40159375 |
transcript.pyannote[1878].speaker |
SPEAKER_11 |
transcript.pyannote[1878].start |
14369.31284375 |
transcript.pyannote[1878].end |
14379.35346875 |
transcript.pyannote[1879].speaker |
SPEAKER_11 |
transcript.pyannote[1879].start |
14379.75846875 |
transcript.pyannote[1879].end |
14387.31846875 |
transcript.pyannote[1880].speaker |
SPEAKER_11 |
transcript.pyannote[1880].start |
14387.53784375 |
transcript.pyannote[1880].end |
14394.70971875 |
transcript.pyannote[1881].speaker |
SPEAKER_11 |
transcript.pyannote[1881].start |
14395.14846875 |
transcript.pyannote[1881].end |
14474.12346875 |
transcript.pyannote[1882].speaker |
SPEAKER_11 |
transcript.pyannote[1882].start |
14474.30909375 |
transcript.pyannote[1882].end |
14479.10159375 |
transcript.pyannote[1883].speaker |
SPEAKER_10 |
transcript.pyannote[1883].start |
14479.10159375 |
transcript.pyannote[1883].end |
14479.11846875 |
transcript.pyannote[1884].speaker |
SPEAKER_10 |
transcript.pyannote[1884].start |
14479.54034375 |
transcript.pyannote[1884].end |
14480.82284375 |
transcript.pyannote[1885].speaker |
SPEAKER_10 |
transcript.pyannote[1885].start |
14481.19409375 |
transcript.pyannote[1885].end |
14485.00784375 |
transcript.pyannote[1886].speaker |
SPEAKER_10 |
transcript.pyannote[1886].start |
14485.49721875 |
transcript.pyannote[1886].end |
14487.82596875 |
transcript.pyannote[1887].speaker |
SPEAKER_10 |
transcript.pyannote[1887].start |
14487.96096875 |
transcript.pyannote[1887].end |
14490.07034375 |
transcript.pyannote[1888].speaker |
SPEAKER_11 |
transcript.pyannote[1888].start |
14489.34471875 |
transcript.pyannote[1888].end |
14495.48721875 |
transcript.pyannote[1889].speaker |
SPEAKER_10 |
transcript.pyannote[1889].start |
14490.79596875 |
transcript.pyannote[1889].end |
14490.96471875 |
transcript.pyannote[1890].speaker |
SPEAKER_10 |
transcript.pyannote[1890].start |
14495.95971875 |
transcript.pyannote[1890].end |
14506.96221875 |
transcript.pyannote[1891].speaker |
SPEAKER_11 |
transcript.pyannote[1891].start |
14506.96221875 |
transcript.pyannote[1891].end |
14513.86409375 |
transcript.pyannote[1892].speaker |
SPEAKER_11 |
transcript.pyannote[1892].start |
14514.15096875 |
transcript.pyannote[1892].end |
14523.06096875 |
transcript.pyannote[1893].speaker |
SPEAKER_11 |
transcript.pyannote[1893].start |
14523.28034375 |
transcript.pyannote[1893].end |
14530.19909375 |
transcript.pyannote[1894].speaker |
SPEAKER_10 |
transcript.pyannote[1894].start |
14531.49846875 |
transcript.pyannote[1894].end |
14533.47284375 |
transcript.pyannote[1895].speaker |
SPEAKER_11 |
transcript.pyannote[1895].start |
14532.51096875 |
transcript.pyannote[1895].end |
14533.00034375 |
transcript.pyannote[1896].speaker |
SPEAKER_11 |
transcript.pyannote[1896].start |
14533.47284375 |
transcript.pyannote[1896].end |
14533.50659375 |
transcript.pyannote[1897].speaker |
SPEAKER_10 |
transcript.pyannote[1897].start |
14533.50659375 |
transcript.pyannote[1897].end |
14533.65846875 |
transcript.pyannote[1898].speaker |
SPEAKER_10 |
transcript.pyannote[1898].start |
14533.77659375 |
transcript.pyannote[1898].end |
14535.51471875 |
transcript.pyannote[1899].speaker |
SPEAKER_10 |
transcript.pyannote[1899].start |
14535.76784375 |
transcript.pyannote[1899].end |
14537.82659375 |
transcript.pyannote[1900].speaker |
SPEAKER_11 |
transcript.pyannote[1900].start |
14537.82659375 |
transcript.pyannote[1900].end |
14549.97659375 |
transcript.pyannote[1901].speaker |
SPEAKER_11 |
transcript.pyannote[1901].start |
14550.33096875 |
transcript.pyannote[1901].end |
14554.49909375 |
transcript.pyannote[1902].speaker |
SPEAKER_11 |
transcript.pyannote[1902].start |
14554.92096875 |
transcript.pyannote[1902].end |
14564.32034375 |
transcript.pyannote[1903].speaker |
SPEAKER_05 |
transcript.pyannote[1903].start |
14564.45534375 |
transcript.pyannote[1903].end |
14567.93159375 |
transcript.pyannote[1904].speaker |
SPEAKER_05 |
transcript.pyannote[1904].start |
14568.10034375 |
transcript.pyannote[1904].end |
14571.79596875 |
transcript.pyannote[1905].speaker |
SPEAKER_05 |
transcript.pyannote[1905].start |
14571.96471875 |
transcript.pyannote[1905].end |
14576.74034375 |
transcript.pyannote[1906].speaker |
SPEAKER_11 |
transcript.pyannote[1906].start |
14576.74034375 |
transcript.pyannote[1906].end |
14578.90034375 |
transcript.pyannote[1907].speaker |
SPEAKER_11 |
transcript.pyannote[1907].start |
14582.03909375 |
transcript.pyannote[1907].end |
14582.30909375 |
transcript.pyannote[1908].speaker |
SPEAKER_05 |
transcript.pyannote[1908].start |
14582.56221875 |
transcript.pyannote[1908].end |
14589.85221875 |
transcript.pyannote[1909].speaker |
SPEAKER_11 |
transcript.pyannote[1909].start |
14589.90284375 |
transcript.pyannote[1909].end |
14593.42971875 |
transcript.pyannote[1910].speaker |
SPEAKER_05 |
transcript.pyannote[1910].start |
14590.84784375 |
transcript.pyannote[1910].end |
14591.64096875 |
transcript.pyannote[1911].speaker |
SPEAKER_05 |
transcript.pyannote[1911].start |
14591.79284375 |
transcript.pyannote[1911].end |
14592.34971875 |
transcript.pyannote[1912].speaker |
SPEAKER_11 |
transcript.pyannote[1912].start |
14594.66159375 |
transcript.pyannote[1912].end |
14597.78346875 |
transcript.pyannote[1913].speaker |
SPEAKER_05 |
transcript.pyannote[1913].start |
14596.04534375 |
transcript.pyannote[1913].end |
14597.12534375 |
transcript.pyannote[1914].speaker |
SPEAKER_06 |
transcript.pyannote[1914].start |
14597.12534375 |
transcript.pyannote[1914].end |
14597.54721875 |
transcript.pyannote[1915].speaker |
SPEAKER_12 |
transcript.pyannote[1915].start |
14597.54721875 |
transcript.pyannote[1915].end |
14597.56409375 |
transcript.pyannote[1916].speaker |
SPEAKER_11 |
transcript.pyannote[1916].start |
14598.03659375 |
transcript.pyannote[1916].end |
14600.85471875 |
transcript.pyannote[1917].speaker |
SPEAKER_06 |
transcript.pyannote[1917].start |
14602.67721875 |
transcript.pyannote[1917].end |
14604.82034375 |
transcript.pyannote[1918].speaker |
SPEAKER_06 |
transcript.pyannote[1918].start |
14605.07346875 |
transcript.pyannote[1918].end |
14607.60471875 |
transcript.pyannote[1919].speaker |
SPEAKER_08 |
transcript.pyannote[1919].start |
14616.88596875 |
transcript.pyannote[1919].end |
14619.21471875 |
transcript.pyannote[1920].speaker |
SPEAKER_06 |
transcript.pyannote[1920].start |
14619.77159375 |
transcript.pyannote[1920].end |
14621.20596875 |
transcript.pyannote[1921].speaker |
SPEAKER_08 |
transcript.pyannote[1921].start |
14626.09971875 |
transcript.pyannote[1921].end |
14626.79159375 |
transcript.pyannote[1922].speaker |
SPEAKER_08 |
transcript.pyannote[1922].start |
14627.92221875 |
transcript.pyannote[1922].end |
14636.74784375 |
transcript.pyannote[1923].speaker |
SPEAKER_13 |
transcript.pyannote[1923].start |
14637.22034375 |
transcript.pyannote[1923].end |
14646.16409375 |
transcript.pyannote[1924].speaker |
SPEAKER_08 |
transcript.pyannote[1924].start |
14642.14784375 |
transcript.pyannote[1924].end |
14642.97471875 |
transcript.pyannote[1925].speaker |
SPEAKER_08 |
transcript.pyannote[1925].start |
14646.40034375 |
transcript.pyannote[1925].end |
14646.97409375 |
transcript.pyannote[1926].speaker |
SPEAKER_08 |
transcript.pyannote[1926].start |
14647.51409375 |
transcript.pyannote[1926].end |
14648.23971875 |
transcript.pyannote[1927].speaker |
SPEAKER_08 |
transcript.pyannote[1927].start |
14648.83034375 |
transcript.pyannote[1927].end |
14651.37846875 |
transcript.pyannote[1928].speaker |
SPEAKER_08 |
transcript.pyannote[1928].start |
14651.71596875 |
transcript.pyannote[1928].end |
14653.18409375 |
transcript.pyannote[1929].speaker |
SPEAKER_13 |
transcript.pyannote[1929].start |
14653.18409375 |
transcript.pyannote[1929].end |
14687.22096875 |
transcript.pyannote[1930].speaker |
SPEAKER_00 |
transcript.pyannote[1930].start |
14664.08534375 |
transcript.pyannote[1930].end |
14664.60846875 |
transcript.pyannote[1931].speaker |
SPEAKER_00 |
transcript.pyannote[1931].start |
14669.82284375 |
transcript.pyannote[1931].end |
14670.29534375 |
transcript.pyannote[1932].speaker |
SPEAKER_00 |
transcript.pyannote[1932].start |
14671.10534375 |
transcript.pyannote[1932].end |
14671.52721875 |
transcript.pyannote[1933].speaker |
SPEAKER_21 |
transcript.pyannote[1933].start |
14686.63034375 |
transcript.pyannote[1933].end |
14687.00159375 |
transcript.pyannote[1934].speaker |
SPEAKER_21 |
transcript.pyannote[1934].start |
14687.22096875 |
transcript.pyannote[1934].end |
14687.35596875 |
transcript.pyannote[1935].speaker |
SPEAKER_13 |
transcript.pyannote[1935].start |
14687.35596875 |
transcript.pyannote[1935].end |
14687.38971875 |
transcript.pyannote[1936].speaker |
SPEAKER_21 |
transcript.pyannote[1936].start |
14687.38971875 |
transcript.pyannote[1936].end |
14687.74409375 |
transcript.pyannote[1937].speaker |
SPEAKER_13 |
transcript.pyannote[1937].start |
14687.74409375 |
transcript.pyannote[1937].end |
14692.03034375 |
transcript.pyannote[1938].speaker |
SPEAKER_08 |
transcript.pyannote[1938].start |
14689.12784375 |
transcript.pyannote[1938].end |
14691.99659375 |
transcript.pyannote[1939].speaker |
SPEAKER_15 |
transcript.pyannote[1939].start |
14691.99659375 |
transcript.pyannote[1939].end |
14692.01346875 |
transcript.pyannote[1940].speaker |
SPEAKER_15 |
transcript.pyannote[1940].start |
14692.03034375 |
transcript.pyannote[1940].end |
14692.77284375 |
transcript.pyannote[1941].speaker |
SPEAKER_13 |
transcript.pyannote[1941].start |
14692.77284375 |
transcript.pyannote[1941].end |
14694.49409375 |
transcript.pyannote[1942].speaker |
SPEAKER_08 |
transcript.pyannote[1942].start |
14692.89096875 |
transcript.pyannote[1942].end |
14696.02971875 |
transcript.pyannote[1943].speaker |
SPEAKER_13 |
transcript.pyannote[1943].start |
14696.02971875 |
transcript.pyannote[1943].end |
14697.34596875 |
transcript.pyannote[1944].speaker |
SPEAKER_13 |
transcript.pyannote[1944].start |
14697.43034375 |
transcript.pyannote[1944].end |
14697.44721875 |
transcript.pyannote[1945].speaker |
SPEAKER_08 |
transcript.pyannote[1945].start |
14697.44721875 |
transcript.pyannote[1945].end |
14697.48096875 |
transcript.pyannote[1946].speaker |
SPEAKER_13 |
transcript.pyannote[1946].start |
14697.48096875 |
transcript.pyannote[1946].end |
14706.22221875 |
transcript.pyannote[1947].speaker |
SPEAKER_08 |
transcript.pyannote[1947].start |
14701.61534375 |
transcript.pyannote[1947].end |
14702.62784375 |
transcript.pyannote[1948].speaker |
SPEAKER_08 |
transcript.pyannote[1948].start |
14706.22221875 |
transcript.pyannote[1948].end |
14712.60096875 |
transcript.pyannote[1949].speaker |
SPEAKER_13 |
transcript.pyannote[1949].start |
14714.08596875 |
transcript.pyannote[1949].end |
14717.03909375 |
transcript.pyannote[1950].speaker |
SPEAKER_08 |
transcript.pyannote[1950].start |
14716.75221875 |
transcript.pyannote[1950].end |
14717.05596875 |
transcript.pyannote[1951].speaker |
SPEAKER_13 |
transcript.pyannote[1951].start |
14717.05596875 |
transcript.pyannote[1951].end |
14719.03034375 |
transcript.pyannote[1952].speaker |
SPEAKER_13 |
transcript.pyannote[1952].start |
14719.57034375 |
transcript.pyannote[1952].end |
14736.58034375 |
transcript.pyannote[1953].speaker |
SPEAKER_08 |
transcript.pyannote[1953].start |
14719.60409375 |
transcript.pyannote[1953].end |
14720.22846875 |
transcript.pyannote[1954].speaker |
SPEAKER_08 |
transcript.pyannote[1954].start |
14723.29971875 |
transcript.pyannote[1954].end |
14723.70471875 |
transcript.pyannote[1955].speaker |
SPEAKER_08 |
transcript.pyannote[1955].start |
14730.87659375 |
transcript.pyannote[1955].end |
14733.34034375 |
transcript.pyannote[1956].speaker |
SPEAKER_08 |
transcript.pyannote[1956].start |
14735.43284375 |
transcript.pyannote[1956].end |
14740.03971875 |
transcript.pyannote[1957].speaker |
SPEAKER_13 |
transcript.pyannote[1957].start |
14736.71534375 |
transcript.pyannote[1957].end |
14736.85034375 |
transcript.pyannote[1958].speaker |
SPEAKER_13 |
transcript.pyannote[1958].start |
14738.63909375 |
transcript.pyannote[1958].end |
14739.65159375 |
transcript.pyannote[1959].speaker |
SPEAKER_08 |
transcript.pyannote[1959].start |
14740.46159375 |
transcript.pyannote[1959].end |
14741.98034375 |
transcript.pyannote[1960].speaker |
SPEAKER_08 |
transcript.pyannote[1960].start |
14742.79034375 |
transcript.pyannote[1960].end |
14743.51596875 |
transcript.pyannote[1961].speaker |
SPEAKER_08 |
transcript.pyannote[1961].start |
14743.75221875 |
transcript.pyannote[1961].end |
14744.42721875 |
transcript.pyannote[1962].speaker |
SPEAKER_08 |
transcript.pyannote[1962].start |
14744.62971875 |
transcript.pyannote[1962].end |
14746.90784375 |
transcript.pyannote[1963].speaker |
SPEAKER_08 |
transcript.pyannote[1963].start |
14748.67971875 |
transcript.pyannote[1963].end |
14749.11846875 |
transcript.pyannote[1964].speaker |
SPEAKER_08 |
transcript.pyannote[1964].start |
14749.75971875 |
transcript.pyannote[1964].end |
14752.62846875 |
transcript.pyannote[1965].speaker |
SPEAKER_13 |
transcript.pyannote[1965].start |
14756.20596875 |
transcript.pyannote[1965].end |
14758.97346875 |
transcript.pyannote[1966].speaker |
SPEAKER_08 |
transcript.pyannote[1966].start |
14758.16346875 |
transcript.pyannote[1966].end |
14761.26846875 |
transcript.pyannote[1967].speaker |
SPEAKER_12 |
transcript.pyannote[1967].start |
14758.97346875 |
transcript.pyannote[1967].end |
14762.24721875 |
transcript.pyannote[1968].speaker |
SPEAKER_08 |
transcript.pyannote[1968].start |
14762.36534375 |
transcript.pyannote[1968].end |
14767.19159375 |
transcript.pyannote[1969].speaker |
SPEAKER_08 |
transcript.pyannote[1969].start |
14767.81596875 |
transcript.pyannote[1969].end |
14769.08159375 |
transcript.pyannote[1970].speaker |
SPEAKER_08 |
transcript.pyannote[1970].start |
14770.22909375 |
transcript.pyannote[1970].end |
14772.38909375 |
transcript.pyannote[1971].speaker |
SPEAKER_08 |
transcript.pyannote[1971].start |
14773.87409375 |
transcript.pyannote[1971].end |
14781.26534375 |
transcript.pyannote[1972].speaker |
SPEAKER_08 |
transcript.pyannote[1972].start |
14782.37909375 |
transcript.pyannote[1972].end |
14785.82159375 |
transcript.pyannote[1973].speaker |
SPEAKER_08 |
transcript.pyannote[1973].start |
14786.41221875 |
transcript.pyannote[1973].end |
14787.01971875 |
transcript.pyannote[1974].speaker |
SPEAKER_08 |
transcript.pyannote[1974].start |
14787.40784375 |
transcript.pyannote[1974].end |
14792.45346875 |
transcript.pyannote[1975].speaker |
SPEAKER_08 |
transcript.pyannote[1975].start |
14793.39846875 |
transcript.pyannote[1975].end |
14797.12784375 |
transcript.pyannote[1976].speaker |
SPEAKER_13 |
transcript.pyannote[1976].start |
14798.59596875 |
transcript.pyannote[1976].end |
14802.74721875 |
transcript.pyannote[1977].speaker |
SPEAKER_08 |
transcript.pyannote[1977].start |
14802.74721875 |
transcript.pyannote[1977].end |
14804.92409375 |
transcript.pyannote[1978].speaker |
SPEAKER_08 |
transcript.pyannote[1978].start |
14805.32909375 |
transcript.pyannote[1978].end |
14814.89721875 |
transcript.pyannote[1979].speaker |
SPEAKER_08 |
transcript.pyannote[1979].start |
14815.82534375 |
transcript.pyannote[1979].end |
14817.61409375 |
transcript.pyannote[1980].speaker |
SPEAKER_08 |
transcript.pyannote[1980].start |
14818.39034375 |
transcript.pyannote[1980].end |
14822.91284375 |
transcript.pyannote[1981].speaker |
SPEAKER_13 |
transcript.pyannote[1981].start |
14825.00534375 |
transcript.pyannote[1981].end |
14829.46034375 |
transcript.pyannote[1982].speaker |
SPEAKER_08 |
transcript.pyannote[1982].start |
14827.48596875 |
transcript.pyannote[1982].end |
14827.77284375 |
transcript.pyannote[1983].speaker |
SPEAKER_08 |
transcript.pyannote[1983].start |
14829.46034375 |
transcript.pyannote[1983].end |
14833.44284375 |
transcript.pyannote[1984].speaker |
SPEAKER_13 |
transcript.pyannote[1984].start |
14829.51096875 |
transcript.pyannote[1984].end |
14830.15221875 |
transcript.pyannote[1985].speaker |
SPEAKER_08 |
transcript.pyannote[1985].start |
14833.78034375 |
transcript.pyannote[1985].end |
14834.05034375 |
transcript.pyannote[1986].speaker |
SPEAKER_08 |
transcript.pyannote[1986].start |
14834.47221875 |
transcript.pyannote[1986].end |
14835.21471875 |
transcript.pyannote[1987].speaker |
SPEAKER_08 |
transcript.pyannote[1987].start |
14835.65346875 |
transcript.pyannote[1987].end |
14837.35784375 |
transcript.pyannote[1988].speaker |
SPEAKER_08 |
transcript.pyannote[1988].start |
14838.80909375 |
transcript.pyannote[1988].end |
14839.46721875 |
transcript.pyannote[1989].speaker |
SPEAKER_08 |
transcript.pyannote[1989].start |
14840.37846875 |
transcript.pyannote[1989].end |
14841.89721875 |
transcript.pyannote[1990].speaker |
SPEAKER_08 |
transcript.pyannote[1990].start |
14842.06596875 |
transcript.pyannote[1990].end |
14843.29784375 |
transcript.pyannote[1991].speaker |
SPEAKER_08 |
transcript.pyannote[1991].start |
14844.51284375 |
transcript.pyannote[1991].end |
14846.41971875 |
transcript.pyannote[1992].speaker |
SPEAKER_08 |
transcript.pyannote[1992].start |
14847.29721875 |
transcript.pyannote[1992].end |
14848.64721875 |
transcript.pyannote[1993].speaker |
SPEAKER_08 |
transcript.pyannote[1993].start |
14851.27971875 |
transcript.pyannote[1993].end |
14853.05159375 |
transcript.pyannote[1994].speaker |
SPEAKER_08 |
transcript.pyannote[1994].start |
14854.14846875 |
transcript.pyannote[1994].end |
14854.92471875 |
transcript.pyannote[1995].speaker |
SPEAKER_08 |
transcript.pyannote[1995].start |
14855.04284375 |
transcript.pyannote[1995].end |
14856.29159375 |
transcript.pyannote[1996].speaker |
SPEAKER_08 |
transcript.pyannote[1996].start |
14857.01721875 |
transcript.pyannote[1996].end |
14858.40096875 |
transcript.pyannote[1997].speaker |
SPEAKER_08 |
transcript.pyannote[1997].start |
14859.78471875 |
transcript.pyannote[1997].end |
14861.60721875 |
transcript.pyannote[1998].speaker |
SPEAKER_08 |
transcript.pyannote[1998].start |
14862.60284375 |
transcript.pyannote[1998].end |
14865.85971875 |
transcript.pyannote[1999].speaker |
SPEAKER_08 |
transcript.pyannote[1999].start |
14866.56846875 |
transcript.pyannote[1999].end |
14868.64409375 |
transcript.pyannote[2000].speaker |
SPEAKER_13 |
transcript.pyannote[2000].start |
14870.16284375 |
transcript.pyannote[2000].end |
14879.61284375 |
transcript.pyannote[2001].speaker |
SPEAKER_13 |
transcript.pyannote[2001].start |
14880.01784375 |
transcript.pyannote[2001].end |
14883.96659375 |
transcript.pyannote[2002].speaker |
SPEAKER_08 |
transcript.pyannote[2002].start |
14883.07221875 |
transcript.pyannote[2002].end |
14883.62909375 |
transcript.pyannote[2003].speaker |
SPEAKER_08 |
transcript.pyannote[2003].start |
14883.96659375 |
transcript.pyannote[2003].end |
14884.10159375 |
transcript.pyannote[2004].speaker |
SPEAKER_13 |
transcript.pyannote[2004].start |
14884.10159375 |
transcript.pyannote[2004].end |
14887.66221875 |
transcript.pyannote[2005].speaker |
SPEAKER_08 |
transcript.pyannote[2005].start |
14884.11846875 |
transcript.pyannote[2005].end |
14888.69159375 |
transcript.pyannote[2006].speaker |
SPEAKER_13 |
transcript.pyannote[2006].start |
14889.02909375 |
transcript.pyannote[2006].end |
14890.22721875 |
transcript.pyannote[2007].speaker |
SPEAKER_08 |
transcript.pyannote[2007].start |
14890.22721875 |
transcript.pyannote[2007].end |
14890.75034375 |
transcript.pyannote[2008].speaker |
SPEAKER_13 |
transcript.pyannote[2008].start |
14890.27784375 |
transcript.pyannote[2008].end |
14890.66596875 |
transcript.pyannote[2009].speaker |
SPEAKER_13 |
transcript.pyannote[2009].start |
14890.75034375 |
transcript.pyannote[2009].end |
14890.96971875 |
transcript.pyannote[2010].speaker |
SPEAKER_08 |
transcript.pyannote[2010].start |
14890.96971875 |
transcript.pyannote[2010].end |
14892.37034375 |
transcript.pyannote[2011].speaker |
SPEAKER_12 |
transcript.pyannote[2011].start |
14892.37034375 |
transcript.pyannote[2011].end |
14892.40409375 |
transcript.pyannote[2012].speaker |
SPEAKER_08 |
transcript.pyannote[2012].start |
14892.40409375 |
transcript.pyannote[2012].end |
14895.39096875 |
transcript.pyannote[2013].speaker |
SPEAKER_08 |
transcript.pyannote[2013].start |
14896.30221875 |
transcript.pyannote[2013].end |
14897.93909375 |
transcript.pyannote[2014].speaker |
SPEAKER_12 |
transcript.pyannote[2014].start |
14898.27659375 |
transcript.pyannote[2014].end |
14898.98534375 |
transcript.pyannote[2015].speaker |
SPEAKER_08 |
transcript.pyannote[2015].start |
14898.98534375 |
transcript.pyannote[2015].end |
14900.67284375 |
transcript.pyannote[2016].speaker |
SPEAKER_08 |
transcript.pyannote[2016].start |
14901.17909375 |
transcript.pyannote[2016].end |
14903.18721875 |
transcript.pyannote[2017].speaker |
SPEAKER_08 |
transcript.pyannote[2017].start |
14904.41909375 |
transcript.pyannote[2017].end |
14905.27971875 |
transcript.pyannote[2018].speaker |
SPEAKER_08 |
transcript.pyannote[2018].start |
14906.35971875 |
transcript.pyannote[2018].end |
14907.82784375 |
transcript.pyannote[2019].speaker |
SPEAKER_13 |
transcript.pyannote[2019].start |
14910.39284375 |
transcript.pyannote[2019].end |
14920.11284375 |
transcript.pyannote[2020].speaker |
SPEAKER_08 |
transcript.pyannote[2020].start |
14915.82659375 |
transcript.pyannote[2020].end |
14916.45096875 |
transcript.pyannote[2021].speaker |
SPEAKER_08 |
transcript.pyannote[2021].start |
14918.02034375 |
transcript.pyannote[2021].end |
14920.75409375 |
transcript.pyannote[2022].speaker |
SPEAKER_13 |
transcript.pyannote[2022].start |
14921.34471875 |
transcript.pyannote[2022].end |
14928.71909375 |
transcript.pyannote[2023].speaker |
SPEAKER_08 |
transcript.pyannote[2023].start |
14926.67721875 |
transcript.pyannote[2023].end |
14928.11159375 |
transcript.pyannote[2024].speaker |
SPEAKER_08 |
transcript.pyannote[2024].start |
14928.71909375 |
transcript.pyannote[2024].end |
14928.73596875 |
transcript.pyannote[2025].speaker |
SPEAKER_13 |
transcript.pyannote[2025].start |
14928.73596875 |
transcript.pyannote[2025].end |
14928.83721875 |
transcript.pyannote[2026].speaker |
SPEAKER_08 |
transcript.pyannote[2026].start |
14928.83721875 |
transcript.pyannote[2026].end |
14929.73159375 |
transcript.pyannote[2027].speaker |
SPEAKER_13 |
transcript.pyannote[2027].start |
14928.90471875 |
transcript.pyannote[2027].end |
14929.44471875 |
transcript.pyannote[2028].speaker |
SPEAKER_13 |
transcript.pyannote[2028].start |
14929.73159375 |
transcript.pyannote[2028].end |
14929.96784375 |
transcript.pyannote[2029].speaker |
SPEAKER_08 |
transcript.pyannote[2029].start |
14929.96784375 |
transcript.pyannote[2029].end |
14930.05221875 |
transcript.pyannote[2030].speaker |
SPEAKER_13 |
transcript.pyannote[2030].start |
14930.05221875 |
transcript.pyannote[2030].end |
14930.50784375 |
transcript.pyannote[2031].speaker |
SPEAKER_08 |
transcript.pyannote[2031].start |
14930.06909375 |
transcript.pyannote[2031].end |
14930.11971875 |
transcript.pyannote[2032].speaker |
SPEAKER_08 |
transcript.pyannote[2032].start |
14930.42346875 |
transcript.pyannote[2032].end |
14932.06034375 |
transcript.pyannote[2033].speaker |
SPEAKER_08 |
transcript.pyannote[2033].start |
14932.60034375 |
transcript.pyannote[2033].end |
14938.70909375 |
transcript.pyannote[2034].speaker |
SPEAKER_13 |
transcript.pyannote[2034].start |
14939.31659375 |
transcript.pyannote[2034].end |
14947.77096875 |
transcript.pyannote[2035].speaker |
SPEAKER_08 |
transcript.pyannote[2035].start |
14941.02096875 |
transcript.pyannote[2035].end |
14942.60721875 |
transcript.pyannote[2036].speaker |
SPEAKER_08 |
transcript.pyannote[2036].start |
14943.55221875 |
transcript.pyannote[2036].end |
14944.37909375 |
transcript.pyannote[2037].speaker |
SPEAKER_08 |
transcript.pyannote[2037].start |
14944.83471875 |
transcript.pyannote[2037].end |
14950.97721875 |
transcript.pyannote[2038].speaker |
SPEAKER_08 |
transcript.pyannote[2038].start |
14951.51721875 |
transcript.pyannote[2038].end |
14956.05659375 |
transcript.pyannote[2039].speaker |
SPEAKER_08 |
transcript.pyannote[2039].start |
14956.66409375 |
transcript.pyannote[2039].end |
14958.62159375 |
transcript.pyannote[2040].speaker |
SPEAKER_08 |
transcript.pyannote[2040].start |
14959.24596875 |
transcript.pyannote[2040].end |
14960.69721875 |
transcript.pyannote[2041].speaker |
SPEAKER_08 |
transcript.pyannote[2041].start |
14961.08534375 |
transcript.pyannote[2041].end |
14963.29596875 |
transcript.pyannote[2042].speaker |
SPEAKER_08 |
transcript.pyannote[2042].start |
14966.36721875 |
transcript.pyannote[2042].end |
14968.62846875 |
transcript.pyannote[2043].speaker |
SPEAKER_08 |
transcript.pyannote[2043].start |
14968.99971875 |
transcript.pyannote[2043].end |
14970.38346875 |
transcript.pyannote[2044].speaker |
SPEAKER_08 |
transcript.pyannote[2044].start |
14970.73784375 |
transcript.pyannote[2044].end |
14971.07534375 |
transcript.pyannote[2045].speaker |
SPEAKER_08 |
transcript.pyannote[2045].start |
14971.69971875 |
transcript.pyannote[2045].end |
14973.64034375 |
transcript.pyannote[2046].speaker |
SPEAKER_08 |
transcript.pyannote[2046].start |
14974.12971875 |
transcript.pyannote[2046].end |
14980.05284375 |
transcript.pyannote[2047].speaker |
SPEAKER_08 |
transcript.pyannote[2047].start |
14980.66034375 |
transcript.pyannote[2047].end |
14983.47846875 |
transcript.pyannote[2048].speaker |
SPEAKER_08 |
transcript.pyannote[2048].start |
14984.38971875 |
transcript.pyannote[2048].end |
14985.87471875 |
transcript.pyannote[2049].speaker |
SPEAKER_08 |
transcript.pyannote[2049].start |
14988.27096875 |
transcript.pyannote[2049].end |
14989.89096875 |
transcript.pyannote[2050].speaker |
SPEAKER_08 |
transcript.pyannote[2050].start |
14990.51534375 |
transcript.pyannote[2050].end |
14991.67971875 |
transcript.pyannote[2051].speaker |
SPEAKER_08 |
transcript.pyannote[2051].start |
14992.13534375 |
transcript.pyannote[2051].end |
14993.43471875 |
transcript.pyannote[2052].speaker |
SPEAKER_08 |
transcript.pyannote[2052].start |
14993.70471875 |
transcript.pyannote[2052].end |
14995.44284375 |
transcript.pyannote[2053].speaker |
SPEAKER_08 |
transcript.pyannote[2053].start |
14995.69596875 |
transcript.pyannote[2053].end |
14996.38784375 |
transcript.pyannote[2054].speaker |
SPEAKER_08 |
transcript.pyannote[2054].start |
14997.80534375 |
transcript.pyannote[2054].end |
14998.95284375 |
transcript.pyannote[2055].speaker |
SPEAKER_08 |
transcript.pyannote[2055].start |
15000.08346875 |
transcript.pyannote[2055].end |
15001.23096875 |
transcript.pyannote[2056].speaker |
SPEAKER_08 |
transcript.pyannote[2056].start |
15001.38284375 |
transcript.pyannote[2056].end |
15008.92596875 |
transcript.pyannote[2057].speaker |
SPEAKER_08 |
transcript.pyannote[2057].start |
15008.99346875 |
transcript.pyannote[2057].end |
15009.02721875 |
transcript.pyannote[2058].speaker |
SPEAKER_08 |
transcript.pyannote[2058].start |
15009.09471875 |
transcript.pyannote[2058].end |
15010.10721875 |
transcript.pyannote[2059].speaker |
SPEAKER_08 |
transcript.pyannote[2059].start |
15010.64721875 |
transcript.pyannote[2059].end |
15011.35596875 |
transcript.pyannote[2060].speaker |
SPEAKER_08 |
transcript.pyannote[2060].start |
15011.81159375 |
transcript.pyannote[2060].end |
15013.54971875 |
transcript.pyannote[2061].speaker |
SPEAKER_08 |
transcript.pyannote[2061].start |
15014.96721875 |
transcript.pyannote[2061].end |
15015.64221875 |
transcript.pyannote[2062].speaker |
SPEAKER_08 |
transcript.pyannote[2062].start |
15015.81096875 |
transcript.pyannote[2062].end |
15017.76846875 |
transcript.pyannote[2063].speaker |
SPEAKER_08 |
transcript.pyannote[2063].start |
15018.51096875 |
transcript.pyannote[2063].end |
15019.59096875 |
transcript.pyannote[2064].speaker |
SPEAKER_08 |
transcript.pyannote[2064].start |
15020.16471875 |
transcript.pyannote[2064].end |
15022.81409375 |
transcript.pyannote[2065].speaker |
SPEAKER_08 |
transcript.pyannote[2065].start |
15023.53971875 |
transcript.pyannote[2065].end |
15024.73784375 |
transcript.pyannote[2066].speaker |
SPEAKER_08 |
transcript.pyannote[2066].start |
15025.34534375 |
transcript.pyannote[2066].end |
15028.14659375 |
transcript.pyannote[2067].speaker |
SPEAKER_13 |
transcript.pyannote[2067].start |
15031.72409375 |
transcript.pyannote[2067].end |
15045.78096875 |
transcript.pyannote[2068].speaker |
SPEAKER_08 |
transcript.pyannote[2068].start |
15040.29659375 |
transcript.pyannote[2068].end |
15042.43971875 |
transcript.pyannote[2069].speaker |
SPEAKER_08 |
transcript.pyannote[2069].start |
15042.49034375 |
transcript.pyannote[2069].end |
15042.50721875 |
transcript.pyannote[2070].speaker |
SPEAKER_08 |
transcript.pyannote[2070].start |
15042.74346875 |
transcript.pyannote[2070].end |
15045.89909375 |
transcript.pyannote[2071].speaker |
SPEAKER_21 |
transcript.pyannote[2071].start |
15045.78096875 |
transcript.pyannote[2071].end |
15045.79784375 |
transcript.pyannote[2072].speaker |
SPEAKER_13 |
transcript.pyannote[2072].start |
15045.79784375 |
transcript.pyannote[2072].end |
15045.83159375 |
transcript.pyannote[2073].speaker |
SPEAKER_21 |
transcript.pyannote[2073].start |
15045.83159375 |
transcript.pyannote[2073].end |
15045.84846875 |
transcript.pyannote[2074].speaker |
SPEAKER_21 |
transcript.pyannote[2074].start |
15045.89909375 |
transcript.pyannote[2074].end |
15046.16909375 |
transcript.pyannote[2075].speaker |
SPEAKER_08 |
transcript.pyannote[2075].start |
15046.16909375 |
transcript.pyannote[2075].end |
15051.87284375 |
transcript.pyannote[2076].speaker |
SPEAKER_08 |
transcript.pyannote[2076].start |
15052.42971875 |
transcript.pyannote[2076].end |
15058.87596875 |
transcript.pyannote[2077].speaker |
SPEAKER_08 |
transcript.pyannote[2077].start |
15059.75346875 |
transcript.pyannote[2077].end |
15061.40721875 |
transcript.pyannote[2078].speaker |
SPEAKER_08 |
transcript.pyannote[2078].start |
15062.38596875 |
transcript.pyannote[2078].end |
15062.82471875 |
transcript.pyannote[2079].speaker |
SPEAKER_08 |
transcript.pyannote[2079].start |
15062.90909375 |
transcript.pyannote[2079].end |
15063.29721875 |
transcript.pyannote[2080].speaker |
SPEAKER_08 |
transcript.pyannote[2080].start |
15064.02284375 |
transcript.pyannote[2080].end |
15064.68096875 |
transcript.pyannote[2081].speaker |
SPEAKER_08 |
transcript.pyannote[2081].start |
15065.22096875 |
transcript.pyannote[2081].end |
15066.16596875 |
transcript.pyannote[2082].speaker |
SPEAKER_08 |
transcript.pyannote[2082].start |
15067.88721875 |
transcript.pyannote[2082].end |
15068.74784375 |
transcript.pyannote[2083].speaker |
SPEAKER_08 |
transcript.pyannote[2083].start |
15069.11909375 |
transcript.pyannote[2083].end |
15072.02159375 |
transcript.pyannote[2084].speaker |
SPEAKER_08 |
transcript.pyannote[2084].start |
15073.59096875 |
transcript.pyannote[2084].end |
15074.99159375 |
transcript.pyannote[2085].speaker |
SPEAKER_08 |
transcript.pyannote[2085].start |
15075.93659375 |
transcript.pyannote[2085].end |
15077.77596875 |
transcript.pyannote[2086].speaker |
SPEAKER_08 |
transcript.pyannote[2086].start |
15078.78846875 |
transcript.pyannote[2086].end |
15080.30721875 |
transcript.pyannote[2087].speaker |
SPEAKER_08 |
transcript.pyannote[2087].start |
15081.08346875 |
transcript.pyannote[2087].end |
15083.68221875 |
transcript.pyannote[2088].speaker |
SPEAKER_08 |
transcript.pyannote[2088].start |
15084.37409375 |
transcript.pyannote[2088].end |
15086.17971875 |
transcript.pyannote[2089].speaker |
SPEAKER_08 |
transcript.pyannote[2089].start |
15086.43284375 |
transcript.pyannote[2089].end |
15087.20909375 |
transcript.pyannote[2090].speaker |
SPEAKER_08 |
transcript.pyannote[2090].start |
15087.79971875 |
transcript.pyannote[2090].end |
15088.82909375 |
transcript.pyannote[2091].speaker |
SPEAKER_08 |
transcript.pyannote[2091].start |
15092.20409375 |
transcript.pyannote[2091].end |
15092.54159375 |
transcript.pyannote[2092].speaker |
SPEAKER_08 |
transcript.pyannote[2092].start |
15093.46971875 |
transcript.pyannote[2092].end |
15095.59596875 |
transcript.pyannote[2093].speaker |
SPEAKER_08 |
transcript.pyannote[2093].start |
15097.97534375 |
transcript.pyannote[2093].end |
15098.34659375 |
transcript.pyannote[2094].speaker |
SPEAKER_08 |
transcript.pyannote[2094].start |
15099.40971875 |
transcript.pyannote[2094].end |
15104.35409375 |
transcript.pyannote[2095].speaker |
SPEAKER_08 |
transcript.pyannote[2095].start |
15104.69159375 |
transcript.pyannote[2095].end |
15109.06221875 |
transcript.pyannote[2096].speaker |
SPEAKER_08 |
transcript.pyannote[2096].start |
15109.41659375 |
transcript.pyannote[2096].end |
15112.80846875 |
transcript.pyannote[2097].speaker |
SPEAKER_08 |
transcript.pyannote[2097].start |
15113.23034375 |
transcript.pyannote[2097].end |
15117.95534375 |
transcript.pyannote[2098].speaker |
SPEAKER_08 |
transcript.pyannote[2098].start |
15118.66409375 |
transcript.pyannote[2098].end |
15119.74409375 |
transcript.pyannote[2099].speaker |
SPEAKER_08 |
transcript.pyannote[2099].start |
15120.58784375 |
transcript.pyannote[2099].end |
15121.85346875 |
transcript.pyannote[2100].speaker |
SPEAKER_08 |
transcript.pyannote[2100].start |
15122.88284375 |
transcript.pyannote[2100].end |
15126.24096875 |
transcript.pyannote[2101].speaker |
SPEAKER_08 |
transcript.pyannote[2101].start |
15127.13534375 |
transcript.pyannote[2101].end |
15128.24909375 |
transcript.pyannote[2102].speaker |
SPEAKER_08 |
transcript.pyannote[2102].start |
15128.50221875 |
transcript.pyannote[2102].end |
15130.02096875 |
transcript.pyannote[2103].speaker |
SPEAKER_08 |
transcript.pyannote[2103].start |
15130.79721875 |
transcript.pyannote[2103].end |
15131.33721875 |
transcript.pyannote[2104].speaker |
SPEAKER_08 |
transcript.pyannote[2104].start |
15131.86034375 |
transcript.pyannote[2104].end |
15135.23534375 |
transcript.pyannote[2105].speaker |
SPEAKER_08 |
transcript.pyannote[2105].start |
15136.09596875 |
transcript.pyannote[2105].end |
15137.69909375 |
transcript.pyannote[2106].speaker |
SPEAKER_08 |
transcript.pyannote[2106].start |
15137.96909375 |
transcript.pyannote[2106].end |
15139.09971875 |
transcript.pyannote[2107].speaker |
SPEAKER_13 |
transcript.pyannote[2107].start |
15142.06971875 |
transcript.pyannote[2107].end |
15153.08909375 |
transcript.pyannote[2108].speaker |
SPEAKER_08 |
transcript.pyannote[2108].start |
15149.73096875 |
transcript.pyannote[2108].end |
15150.38909375 |
transcript.pyannote[2109].speaker |
SPEAKER_08 |
transcript.pyannote[2109].start |
15151.08096875 |
transcript.pyannote[2109].end |
15160.04159375 |
transcript.pyannote[2110].speaker |
SPEAKER_13 |
transcript.pyannote[2110].start |
15153.54471875 |
transcript.pyannote[2110].end |
15153.74721875 |
transcript.pyannote[2111].speaker |
SPEAKER_13 |
transcript.pyannote[2111].start |
15156.93659375 |
transcript.pyannote[2111].end |
15156.95346875 |
transcript.pyannote[2112].speaker |
SPEAKER_08 |
transcript.pyannote[2112].start |
15161.02034375 |
transcript.pyannote[2112].end |
15163.48409375 |
transcript.pyannote[2113].speaker |
SPEAKER_08 |
transcript.pyannote[2113].start |
15164.42909375 |
transcript.pyannote[2113].end |
15166.52159375 |
transcript.pyannote[2114].speaker |
SPEAKER_08 |
transcript.pyannote[2114].start |
15166.92659375 |
transcript.pyannote[2114].end |
15168.22596875 |
transcript.pyannote[2115].speaker |
SPEAKER_08 |
transcript.pyannote[2115].start |
15169.25534375 |
transcript.pyannote[2115].end |
15171.60096875 |
transcript.pyannote[2116].speaker |
SPEAKER_08 |
transcript.pyannote[2116].start |
15171.97221875 |
transcript.pyannote[2116].end |
15172.78221875 |
transcript.pyannote[2117].speaker |
SPEAKER_08 |
transcript.pyannote[2117].start |
15173.20409375 |
transcript.pyannote[2117].end |
15174.60471875 |
transcript.pyannote[2118].speaker |
SPEAKER_08 |
transcript.pyannote[2118].start |
15175.49909375 |
transcript.pyannote[2118].end |
15176.51159375 |
transcript.pyannote[2119].speaker |
SPEAKER_08 |
transcript.pyannote[2119].start |
15177.20346875 |
transcript.pyannote[2119].end |
15179.66721875 |
transcript.pyannote[2120].speaker |
SPEAKER_08 |
transcript.pyannote[2120].start |
15180.22409375 |
transcript.pyannote[2120].end |
15182.35034375 |
transcript.pyannote[2121].speaker |
SPEAKER_08 |
transcript.pyannote[2121].start |
15183.09284375 |
transcript.pyannote[2121].end |
15187.71659375 |
transcript.pyannote[2122].speaker |
SPEAKER_08 |
transcript.pyannote[2122].start |
15188.25659375 |
transcript.pyannote[2122].end |
15189.42096875 |
transcript.pyannote[2123].speaker |
SPEAKER_08 |
transcript.pyannote[2123].start |
15190.77096875 |
transcript.pyannote[2123].end |
15197.38596875 |
transcript.pyannote[2124].speaker |
SPEAKER_08 |
transcript.pyannote[2124].start |
15197.95971875 |
transcript.pyannote[2124].end |
15205.01346875 |
transcript.pyannote[2125].speaker |
SPEAKER_08 |
transcript.pyannote[2125].start |
15206.00909375 |
transcript.pyannote[2125].end |
15209.01284375 |
transcript.pyannote[2126].speaker |
SPEAKER_08 |
transcript.pyannote[2126].start |
15209.56971875 |
transcript.pyannote[2126].end |
15211.67909375 |
transcript.pyannote[2127].speaker |
SPEAKER_08 |
transcript.pyannote[2127].start |
15211.86471875 |
transcript.pyannote[2127].end |
15217.51784375 |
transcript.pyannote[2128].speaker |
SPEAKER_13 |
transcript.pyannote[2128].start |
15217.51784375 |
transcript.pyannote[2128].end |
15217.53471875 |
transcript.pyannote[2129].speaker |
SPEAKER_08 |
transcript.pyannote[2129].start |
15217.53471875 |
transcript.pyannote[2129].end |
15219.61034375 |
transcript.pyannote[2130].speaker |
SPEAKER_13 |
transcript.pyannote[2130].start |
15217.55159375 |
transcript.pyannote[2130].end |
15221.11221875 |
transcript.pyannote[2131].speaker |
SPEAKER_08 |
transcript.pyannote[2131].start |
15220.55534375 |
transcript.pyannote[2131].end |
15221.01096875 |
transcript.pyannote[2132].speaker |
SPEAKER_13 |
transcript.pyannote[2132].start |
15221.46659375 |
transcript.pyannote[2132].end |
15224.47034375 |
transcript.pyannote[2133].speaker |
SPEAKER_08 |
transcript.pyannote[2133].start |
15224.43659375 |
transcript.pyannote[2133].end |
15231.77721875 |
transcript.pyannote[2134].speaker |
SPEAKER_13 |
transcript.pyannote[2134].start |
15231.77721875 |
transcript.pyannote[2134].end |
15232.62096875 |
transcript.pyannote[2135].speaker |
SPEAKER_08 |
transcript.pyannote[2135].start |
15232.62096875 |
transcript.pyannote[2135].end |
15236.67096875 |
transcript.pyannote[2136].speaker |
SPEAKER_13 |
transcript.pyannote[2136].start |
15236.87346875 |
transcript.pyannote[2136].end |
15239.80971875 |
transcript.pyannote[2137].speaker |
SPEAKER_08 |
transcript.pyannote[2137].start |
15237.91971875 |
transcript.pyannote[2137].end |
15238.57784375 |
transcript.pyannote[2138].speaker |
SPEAKER_08 |
transcript.pyannote[2138].start |
15238.79721875 |
transcript.pyannote[2138].end |
15241.15971875 |
transcript.pyannote[2139].speaker |
SPEAKER_13 |
transcript.pyannote[2139].start |
15240.29909375 |
transcript.pyannote[2139].end |
15241.21034375 |
transcript.pyannote[2140].speaker |
SPEAKER_08 |
transcript.pyannote[2140].start |
15241.21034375 |
transcript.pyannote[2140].end |
15242.03721875 |
transcript.pyannote[2141].speaker |
SPEAKER_08 |
transcript.pyannote[2141].start |
15242.29034375 |
transcript.pyannote[2141].end |
15244.11284375 |
transcript.pyannote[2142].speaker |
SPEAKER_13 |
transcript.pyannote[2142].start |
15244.11284375 |
transcript.pyannote[2142].end |
15244.12971875 |
transcript.pyannote[2143].speaker |
SPEAKER_06 |
transcript.pyannote[2143].start |
15245.05784375 |
transcript.pyannote[2143].end |
15246.76221875 |
transcript.pyannote[2144].speaker |
SPEAKER_06 |
transcript.pyannote[2144].start |
15247.52159375 |
transcript.pyannote[2144].end |
15250.00221875 |
transcript.pyannote[2145].speaker |
SPEAKER_18 |
transcript.pyannote[2145].start |
15260.31284375 |
transcript.pyannote[2145].end |
15264.09284375 |
transcript.pyannote[2146].speaker |
SPEAKER_18 |
transcript.pyannote[2146].start |
15264.54846875 |
transcript.pyannote[2146].end |
15264.70034375 |
transcript.pyannote[2147].speaker |
SPEAKER_06 |
transcript.pyannote[2147].start |
15264.70034375 |
transcript.pyannote[2147].end |
15266.11784375 |
transcript.pyannote[2148].speaker |
SPEAKER_13 |
transcript.pyannote[2148].start |
15270.92721875 |
transcript.pyannote[2148].end |
15271.60221875 |
transcript.pyannote[2149].speaker |
SPEAKER_18 |
transcript.pyannote[2149].start |
15271.73721875 |
transcript.pyannote[2149].end |
15277.93034375 |
transcript.pyannote[2150].speaker |
SPEAKER_13 |
transcript.pyannote[2150].start |
15272.29409375 |
transcript.pyannote[2150].end |
15273.05346875 |
transcript.pyannote[2151].speaker |
SPEAKER_13 |
transcript.pyannote[2151].start |
15275.02784375 |
transcript.pyannote[2151].end |
15275.46659375 |
transcript.pyannote[2152].speaker |
SPEAKER_18 |
transcript.pyannote[2152].start |
15290.19846875 |
transcript.pyannote[2152].end |
15291.73409375 |
transcript.pyannote[2153].speaker |
SPEAKER_01 |
transcript.pyannote[2153].start |
15296.45909375 |
transcript.pyannote[2153].end |
15297.70784375 |
transcript.pyannote[2154].speaker |
SPEAKER_01 |
transcript.pyannote[2154].start |
15298.04534375 |
transcript.pyannote[2154].end |
15304.74471875 |
transcript.pyannote[2155].speaker |
SPEAKER_01 |
transcript.pyannote[2155].start |
15304.93034375 |
transcript.pyannote[2155].end |
15311.42721875 |
transcript.pyannote[2156].speaker |
SPEAKER_01 |
transcript.pyannote[2156].start |
15311.78159375 |
transcript.pyannote[2156].end |
15311.96721875 |
transcript.pyannote[2157].speaker |
SPEAKER_18 |
transcript.pyannote[2157].start |
15311.96721875 |
transcript.pyannote[2157].end |
15327.77909375 |
transcript.pyannote[2158].speaker |
SPEAKER_13 |
transcript.pyannote[2158].start |
15329.23034375 |
transcript.pyannote[2158].end |
15334.56284375 |
transcript.pyannote[2159].speaker |
SPEAKER_13 |
transcript.pyannote[2159].start |
15334.95096875 |
transcript.pyannote[2159].end |
15339.96284375 |
transcript.pyannote[2160].speaker |
SPEAKER_18 |
transcript.pyannote[2160].start |
15339.40596875 |
transcript.pyannote[2160].end |
15344.13096875 |
transcript.pyannote[2161].speaker |
SPEAKER_13 |
transcript.pyannote[2161].start |
15345.27846875 |
transcript.pyannote[2161].end |
15346.18971875 |
transcript.pyannote[2162].speaker |
SPEAKER_13 |
transcript.pyannote[2162].start |
15347.16846875 |
transcript.pyannote[2162].end |
15348.61971875 |
transcript.pyannote[2163].speaker |
SPEAKER_13 |
transcript.pyannote[2163].start |
15350.15534375 |
transcript.pyannote[2163].end |
15350.47596875 |
transcript.pyannote[2164].speaker |
SPEAKER_13 |
transcript.pyannote[2164].start |
15350.89784375 |
transcript.pyannote[2164].end |
15354.98159375 |
transcript.pyannote[2165].speaker |
SPEAKER_06 |
transcript.pyannote[2165].start |
15350.96534375 |
transcript.pyannote[2165].end |
15351.42096875 |
transcript.pyannote[2166].speaker |
SPEAKER_06 |
transcript.pyannote[2166].start |
15352.02846875 |
transcript.pyannote[2166].end |
15352.92284375 |
transcript.pyannote[2167].speaker |
SPEAKER_06 |
transcript.pyannote[2167].start |
15353.34471875 |
transcript.pyannote[2167].end |
15359.41971875 |
transcript.pyannote[2168].speaker |
SPEAKER_13 |
transcript.pyannote[2168].start |
15355.80846875 |
transcript.pyannote[2168].end |
15357.56346875 |
transcript.pyannote[2169].speaker |
SPEAKER_13 |
transcript.pyannote[2169].start |
15374.92784375 |
transcript.pyannote[2169].end |
15378.80909375 |
transcript.pyannote[2170].speaker |
SPEAKER_18 |
transcript.pyannote[2170].start |
15376.53096875 |
transcript.pyannote[2170].end |
15376.71659375 |
transcript.pyannote[2171].speaker |
SPEAKER_18 |
transcript.pyannote[2171].start |
15378.01596875 |
transcript.pyannote[2171].end |
15393.01784375 |
transcript.pyannote[2172].speaker |
SPEAKER_13 |
transcript.pyannote[2172].start |
15379.60221875 |
transcript.pyannote[2172].end |
15380.15909375 |
transcript.pyannote[2173].speaker |
SPEAKER_18 |
transcript.pyannote[2173].start |
15393.11909375 |
transcript.pyannote[2173].end |
15395.71784375 |
transcript.pyannote[2174].speaker |
SPEAKER_18 |
transcript.pyannote[2174].start |
15395.98784375 |
transcript.pyannote[2174].end |
15397.92846875 |
transcript.pyannote[2175].speaker |
SPEAKER_18 |
transcript.pyannote[2175].start |
15398.14784375 |
transcript.pyannote[2175].end |
15404.18909375 |
transcript.pyannote[2176].speaker |
SPEAKER_18 |
transcript.pyannote[2176].start |
15405.57284375 |
transcript.pyannote[2176].end |
15406.39971875 |
transcript.pyannote[2177].speaker |
SPEAKER_13 |
transcript.pyannote[2177].start |
15406.82159375 |
transcript.pyannote[2177].end |
15408.47534375 |
transcript.pyannote[2178].speaker |
SPEAKER_18 |
transcript.pyannote[2178].start |
15408.27284375 |
transcript.pyannote[2178].end |
15412.86284375 |
transcript.pyannote[2179].speaker |
SPEAKER_13 |
transcript.pyannote[2179].start |
15411.76596875 |
transcript.pyannote[2179].end |
15412.67721875 |
transcript.pyannote[2180].speaker |
SPEAKER_18 |
transcript.pyannote[2180].start |
15413.14971875 |
transcript.pyannote[2180].end |
15431.20596875 |
transcript.pyannote[2181].speaker |
SPEAKER_13 |
transcript.pyannote[2181].start |
15415.59659375 |
transcript.pyannote[2181].end |
15416.03534375 |
transcript.pyannote[2182].speaker |
SPEAKER_22 |
transcript.pyannote[2182].start |
15416.03534375 |
transcript.pyannote[2182].end |
15416.33909375 |
transcript.pyannote[2183].speaker |
SPEAKER_13 |
transcript.pyannote[2183].start |
15416.33909375 |
transcript.pyannote[2183].end |
15416.37284375 |
transcript.pyannote[2184].speaker |
SPEAKER_21 |
transcript.pyannote[2184].start |
15416.37284375 |
transcript.pyannote[2184].end |
15416.38971875 |
transcript.pyannote[2185].speaker |
SPEAKER_00 |
transcript.pyannote[2185].start |
15416.38971875 |
transcript.pyannote[2185].end |
15416.44034375 |
transcript.pyannote[2186].speaker |
SPEAKER_18 |
transcript.pyannote[2186].start |
15431.81346875 |
transcript.pyannote[2186].end |
15436.82534375 |
transcript.pyannote[2187].speaker |
SPEAKER_18 |
transcript.pyannote[2187].start |
15437.65221875 |
transcript.pyannote[2187].end |
15439.72784375 |
transcript.pyannote[2188].speaker |
SPEAKER_10 |
transcript.pyannote[2188].start |
15441.12846875 |
transcript.pyannote[2188].end |
15442.15784375 |
transcript.pyannote[2189].speaker |
SPEAKER_10 |
transcript.pyannote[2189].start |
15442.32659375 |
transcript.pyannote[2189].end |
15448.14846875 |
transcript.pyannote[2190].speaker |
SPEAKER_18 |
transcript.pyannote[2190].start |
15448.33409375 |
transcript.pyannote[2190].end |
15452.19846875 |
transcript.pyannote[2191].speaker |
SPEAKER_10 |
transcript.pyannote[2191].start |
15448.65471875 |
transcript.pyannote[2191].end |
15449.22846875 |
transcript.pyannote[2192].speaker |
SPEAKER_18 |
transcript.pyannote[2192].start |
15452.70471875 |
transcript.pyannote[2192].end |
15458.05409375 |
transcript.pyannote[2193].speaker |
SPEAKER_18 |
transcript.pyannote[2193].start |
15458.37471875 |
transcript.pyannote[2193].end |
15460.68659375 |
transcript.pyannote[2194].speaker |
SPEAKER_10 |
transcript.pyannote[2194].start |
15460.68659375 |
transcript.pyannote[2194].end |
15460.72034375 |
transcript.pyannote[2195].speaker |
SPEAKER_10 |
transcript.pyannote[2195].start |
15461.32784375 |
transcript.pyannote[2195].end |
15467.84159375 |
transcript.pyannote[2196].speaker |
SPEAKER_18 |
transcript.pyannote[2196].start |
15467.09909375 |
transcript.pyannote[2196].end |
15469.37721875 |
transcript.pyannote[2197].speaker |
SPEAKER_10 |
transcript.pyannote[2197].start |
15469.37721875 |
transcript.pyannote[2197].end |
15469.68096875 |
transcript.pyannote[2198].speaker |
SPEAKER_18 |
transcript.pyannote[2198].start |
15469.68096875 |
transcript.pyannote[2198].end |
15471.63846875 |
transcript.pyannote[2199].speaker |
SPEAKER_18 |
transcript.pyannote[2199].start |
15472.27971875 |
transcript.pyannote[2199].end |
15474.00096875 |
transcript.pyannote[2200].speaker |
SPEAKER_18 |
transcript.pyannote[2200].start |
15474.28784375 |
transcript.pyannote[2200].end |
15477.34221875 |
transcript.pyannote[2201].speaker |
SPEAKER_18 |
transcript.pyannote[2201].start |
15480.36284375 |
transcript.pyannote[2201].end |
15482.16846875 |
transcript.pyannote[2202].speaker |
SPEAKER_10 |
transcript.pyannote[2202].start |
15485.07096875 |
transcript.pyannote[2202].end |
15492.05721875 |
transcript.pyannote[2203].speaker |
SPEAKER_18 |
transcript.pyannote[2203].start |
15491.65221875 |
transcript.pyannote[2203].end |
15492.81659375 |
transcript.pyannote[2204].speaker |
SPEAKER_10 |
transcript.pyannote[2204].start |
15492.12471875 |
transcript.pyannote[2204].end |
15492.52971875 |
transcript.pyannote[2205].speaker |
SPEAKER_10 |
transcript.pyannote[2205].start |
15493.06971875 |
transcript.pyannote[2205].end |
15493.10346875 |
transcript.pyannote[2206].speaker |
SPEAKER_18 |
transcript.pyannote[2206].start |
15493.10346875 |
transcript.pyannote[2206].end |
15495.22971875 |
transcript.pyannote[2207].speaker |
SPEAKER_18 |
transcript.pyannote[2207].start |
15496.05659375 |
transcript.pyannote[2207].end |
15498.38534375 |
transcript.pyannote[2208].speaker |
SPEAKER_13 |
transcript.pyannote[2208].start |
15499.29659375 |
transcript.pyannote[2208].end |
15508.37534375 |
transcript.pyannote[2209].speaker |
SPEAKER_18 |
transcript.pyannote[2209].start |
15507.75096875 |
transcript.pyannote[2209].end |
15517.75784375 |
transcript.pyannote[2210].speaker |
SPEAKER_18 |
transcript.pyannote[2210].start |
15518.12909375 |
transcript.pyannote[2210].end |
15520.87971875 |
transcript.pyannote[2211].speaker |
SPEAKER_18 |
transcript.pyannote[2211].start |
15521.08221875 |
transcript.pyannote[2211].end |
15522.29721875 |
transcript.pyannote[2212].speaker |
SPEAKER_18 |
transcript.pyannote[2212].start |
15525.18284375 |
transcript.pyannote[2212].end |
15525.92534375 |
transcript.pyannote[2213].speaker |
SPEAKER_18 |
transcript.pyannote[2213].start |
15526.29659375 |
transcript.pyannote[2213].end |
15528.30471875 |
transcript.pyannote[2214].speaker |
SPEAKER_04 |
transcript.pyannote[2214].start |
15526.81971875 |
transcript.pyannote[2214].end |
15527.29221875 |
transcript.pyannote[2215].speaker |
SPEAKER_04 |
transcript.pyannote[2215].start |
15528.52409375 |
transcript.pyannote[2215].end |
15551.18721875 |
transcript.pyannote[2216].speaker |
SPEAKER_21 |
transcript.pyannote[2216].start |
15543.12096875 |
transcript.pyannote[2216].end |
15543.13784375 |
transcript.pyannote[2217].speaker |
SPEAKER_18 |
transcript.pyannote[2217].start |
15543.13784375 |
transcript.pyannote[2217].end |
15544.33596875 |
transcript.pyannote[2218].speaker |
SPEAKER_21 |
transcript.pyannote[2218].start |
15551.32221875 |
transcript.pyannote[2218].end |
15551.84534375 |
transcript.pyannote[2219].speaker |
SPEAKER_04 |
transcript.pyannote[2219].start |
15552.25034375 |
transcript.pyannote[2219].end |
15553.81971875 |
transcript.pyannote[2220].speaker |
SPEAKER_04 |
transcript.pyannote[2220].start |
15554.05596875 |
transcript.pyannote[2220].end |
15556.97534375 |
transcript.pyannote[2221].speaker |
SPEAKER_18 |
transcript.pyannote[2221].start |
15556.97534375 |
transcript.pyannote[2221].end |
15557.16096875 |
transcript.pyannote[2222].speaker |
SPEAKER_04 |
transcript.pyannote[2222].start |
15557.16096875 |
transcript.pyannote[2222].end |
15565.34534375 |
transcript.pyannote[2223].speaker |
SPEAKER_18 |
transcript.pyannote[2223].start |
15557.49846875 |
transcript.pyannote[2223].end |
15558.42659375 |
transcript.pyannote[2224].speaker |
SPEAKER_04 |
transcript.pyannote[2224].start |
15565.93596875 |
transcript.pyannote[2224].end |
15573.73221875 |
transcript.pyannote[2225].speaker |
SPEAKER_18 |
transcript.pyannote[2225].start |
15573.12471875 |
transcript.pyannote[2225].end |
15586.55721875 |
transcript.pyannote[2226].speaker |
SPEAKER_18 |
transcript.pyannote[2226].start |
15586.69221875 |
transcript.pyannote[2226].end |
15590.99534375 |
transcript.pyannote[2227].speaker |
SPEAKER_13 |
transcript.pyannote[2227].start |
15590.45534375 |
transcript.pyannote[2227].end |
15606.60471875 |
transcript.pyannote[2228].speaker |
SPEAKER_13 |
transcript.pyannote[2228].start |
15606.72284375 |
transcript.pyannote[2228].end |
15614.35034375 |
transcript.pyannote[2229].speaker |
SPEAKER_18 |
transcript.pyannote[2229].start |
15613.74284375 |
transcript.pyannote[2229].end |
15618.63659375 |
transcript.pyannote[2230].speaker |
SPEAKER_18 |
transcript.pyannote[2230].start |
15619.17659375 |
transcript.pyannote[2230].end |
15625.21784375 |
transcript.pyannote[2231].speaker |
SPEAKER_18 |
transcript.pyannote[2231].start |
15625.36971875 |
transcript.pyannote[2231].end |
15625.38659375 |
transcript.pyannote[2232].speaker |
SPEAKER_13 |
transcript.pyannote[2232].start |
15625.38659375 |
transcript.pyannote[2232].end |
15639.00471875 |
transcript.pyannote[2233].speaker |
SPEAKER_18 |
transcript.pyannote[2233].start |
15631.71471875 |
transcript.pyannote[2233].end |
15641.70471875 |
transcript.pyannote[2234].speaker |
SPEAKER_13 |
transcript.pyannote[2234].start |
15643.45971875 |
transcript.pyannote[2234].end |
15654.17534375 |
transcript.pyannote[2235].speaker |
SPEAKER_18 |
transcript.pyannote[2235].start |
15653.26409375 |
transcript.pyannote[2235].end |
15656.70659375 |
transcript.pyannote[2236].speaker |
SPEAKER_13 |
transcript.pyannote[2236].start |
15654.37784375 |
transcript.pyannote[2236].end |
15654.59721875 |
transcript.pyannote[2237].speaker |
SPEAKER_13 |
transcript.pyannote[2237].start |
15657.56721875 |
transcript.pyannote[2237].end |
15667.00034375 |
transcript.pyannote[2238].speaker |
SPEAKER_18 |
transcript.pyannote[2238].start |
15663.08534375 |
transcript.pyannote[2238].end |
15669.02534375 |
transcript.pyannote[2239].speaker |
SPEAKER_13 |
transcript.pyannote[2239].start |
15668.46846875 |
transcript.pyannote[2239].end |
15672.90659375 |
transcript.pyannote[2240].speaker |
SPEAKER_18 |
transcript.pyannote[2240].start |
15672.90659375 |
transcript.pyannote[2240].end |
15678.08721875 |
transcript.pyannote[2241].speaker |
SPEAKER_13 |
transcript.pyannote[2241].start |
15673.49721875 |
transcript.pyannote[2241].end |
15675.15096875 |
transcript.pyannote[2242].speaker |
SPEAKER_13 |
transcript.pyannote[2242].start |
15675.16784375 |
transcript.pyannote[2242].end |
15676.36596875 |
transcript.pyannote[2243].speaker |
SPEAKER_13 |
transcript.pyannote[2243].start |
15678.74534375 |
transcript.pyannote[2243].end |
15693.46034375 |
transcript.pyannote[2244].speaker |
SPEAKER_18 |
transcript.pyannote[2244].start |
15683.14971875 |
transcript.pyannote[2244].end |
15684.85409375 |
transcript.pyannote[2245].speaker |
SPEAKER_06 |
transcript.pyannote[2245].start |
15693.46034375 |
transcript.pyannote[2245].end |
15695.01284375 |
transcript.pyannote[2246].speaker |
SPEAKER_13 |
transcript.pyannote[2246].start |
15693.47721875 |
transcript.pyannote[2246].end |
15693.52784375 |
transcript.pyannote[2247].speaker |
SPEAKER_21 |
transcript.pyannote[2247].start |
15693.52784375 |
transcript.pyannote[2247].end |
15693.62909375 |
transcript.pyannote[2248].speaker |
SPEAKER_13 |
transcript.pyannote[2248].start |
15693.62909375 |
transcript.pyannote[2248].end |
15695.58659375 |
transcript.pyannote[2249].speaker |
SPEAKER_06 |
transcript.pyannote[2249].start |
15695.58659375 |
transcript.pyannote[2249].end |
15695.63721875 |
transcript.pyannote[2250].speaker |
SPEAKER_06 |
transcript.pyannote[2250].start |
15696.41346875 |
transcript.pyannote[2250].end |
15698.62409375 |
transcript.pyannote[2251].speaker |
SPEAKER_18 |
transcript.pyannote[2251].start |
15718.28346875 |
transcript.pyannote[2251].end |
15722.60346875 |
transcript.pyannote[2252].speaker |
SPEAKER_06 |
transcript.pyannote[2252].start |
15729.04971875 |
transcript.pyannote[2252].end |
15734.44971875 |
transcript.pyannote[2253].speaker |
SPEAKER_18 |
transcript.pyannote[2253].start |
15732.15471875 |
transcript.pyannote[2253].end |
15733.01534375 |
transcript.pyannote[2254].speaker |
SPEAKER_13 |
transcript.pyannote[2254].start |
15733.01534375 |
transcript.pyannote[2254].end |
15733.04909375 |
transcript.pyannote[2255].speaker |
SPEAKER_18 |
transcript.pyannote[2255].start |
15733.04909375 |
transcript.pyannote[2255].end |
15733.13346875 |
transcript.pyannote[2256].speaker |
SPEAKER_06 |
transcript.pyannote[2256].start |
15735.79971875 |
transcript.pyannote[2256].end |
15736.55909375 |
transcript.pyannote[2257].speaker |
SPEAKER_13 |
transcript.pyannote[2257].start |
15737.50409375 |
transcript.pyannote[2257].end |
15737.52096875 |
transcript.pyannote[2258].speaker |
SPEAKER_06 |
transcript.pyannote[2258].start |
15737.52096875 |
transcript.pyannote[2258].end |
15738.09471875 |
transcript.pyannote[2259].speaker |
SPEAKER_06 |
transcript.pyannote[2259].start |
15738.98909375 |
transcript.pyannote[2259].end |
15739.22534375 |
transcript.pyannote[2260].speaker |
SPEAKER_06 |
transcript.pyannote[2260].start |
15740.76096875 |
transcript.pyannote[2260].end |
15742.41471875 |
transcript.pyannote[2261].speaker |
SPEAKER_06 |
transcript.pyannote[2261].start |
15743.12346875 |
transcript.pyannote[2261].end |
15754.09221875 |
transcript.pyannote[2262].speaker |
SPEAKER_06 |
transcript.pyannote[2262].start |
15754.86846875 |
transcript.pyannote[2262].end |
15758.05784375 |
transcript.pyannote[2263].speaker |
SPEAKER_06 |
transcript.pyannote[2263].start |
15758.69909375 |
transcript.pyannote[2263].end |
15766.76534375 |
transcript.pyannote[2264].speaker |
SPEAKER_06 |
transcript.pyannote[2264].start |
15767.42346875 |
transcript.pyannote[2264].end |
15774.10596875 |
transcript.pyannote[2265].speaker |
SPEAKER_06 |
transcript.pyannote[2265].start |
15775.10159375 |
transcript.pyannote[2265].end |
15776.67096875 |
transcript.pyannote[2266].speaker |
SPEAKER_06 |
transcript.pyannote[2266].start |
15777.37971875 |
transcript.pyannote[2266].end |
15782.79659375 |
transcript.pyannote[2267].speaker |
SPEAKER_06 |
transcript.pyannote[2267].start |
15783.23534375 |
transcript.pyannote[2267].end |
15786.77909375 |
transcript.pyannote[2268].speaker |
SPEAKER_06 |
transcript.pyannote[2268].start |
15788.90534375 |
transcript.pyannote[2268].end |
15789.34409375 |
transcript.pyannote[2269].speaker |
SPEAKER_06 |
transcript.pyannote[2269].start |
15789.81659375 |
transcript.pyannote[2269].end |
15791.82471875 |
transcript.pyannote[2270].speaker |
SPEAKER_06 |
transcript.pyannote[2270].start |
15792.28034375 |
transcript.pyannote[2270].end |
15793.96784375 |
transcript.pyannote[2271].speaker |
SPEAKER_06 |
transcript.pyannote[2271].start |
15794.32221875 |
transcript.pyannote[2271].end |
15795.99284375 |
transcript.pyannote[2272].speaker |
SPEAKER_06 |
transcript.pyannote[2272].start |
15796.17846875 |
transcript.pyannote[2272].end |
15797.35971875 |
transcript.pyannote[2273].speaker |
SPEAKER_06 |
transcript.pyannote[2273].start |
15797.54534375 |
transcript.pyannote[2273].end |
15798.74346875 |
transcript.pyannote[2274].speaker |
SPEAKER_06 |
transcript.pyannote[2274].start |
15799.19909375 |
transcript.pyannote[2274].end |
15816.74909375 |
transcript.pyannote[2275].speaker |
SPEAKER_06 |
transcript.pyannote[2275].start |
15817.15409375 |
transcript.pyannote[2275].end |
15823.02659375 |
transcript.pyannote[2276].speaker |
SPEAKER_06 |
transcript.pyannote[2276].start |
15824.84909375 |
transcript.pyannote[2276].end |
15826.23284375 |
transcript.pyannote[2277].speaker |
SPEAKER_06 |
transcript.pyannote[2277].start |
15827.22846875 |
transcript.pyannote[2277].end |
15829.52346875 |
transcript.pyannote[2278].speaker |
SPEAKER_06 |
transcript.pyannote[2278].start |
15830.40096875 |
transcript.pyannote[2278].end |
15834.23159375 |
transcript.pyannote[2279].speaker |
SPEAKER_06 |
transcript.pyannote[2279].start |
15834.24846875 |
transcript.pyannote[2279].end |
15836.84721875 |
transcript.pyannote[2280].speaker |
SPEAKER_06 |
transcript.pyannote[2280].start |
15838.07909375 |
transcript.pyannote[2280].end |
15840.57659375 |
transcript.pyannote[2281].speaker |
SPEAKER_06 |
transcript.pyannote[2281].start |
15840.77909375 |
transcript.pyannote[2281].end |
15841.89284375 |
transcript.pyannote[2282].speaker |
SPEAKER_06 |
transcript.pyannote[2282].start |
15842.61846875 |
transcript.pyannote[2282].end |
15845.84159375 |
transcript.pyannote[2283].speaker |
SPEAKER_06 |
transcript.pyannote[2283].start |
15846.07784375 |
transcript.pyannote[2283].end |
15847.36034375 |
transcript.pyannote[2284].speaker |
SPEAKER_06 |
transcript.pyannote[2284].start |
15847.81596875 |
transcript.pyannote[2284].end |
15849.36846875 |
transcript.pyannote[2285].speaker |
SPEAKER_06 |
transcript.pyannote[2285].start |
15849.67221875 |
transcript.pyannote[2285].end |
15854.46471875 |
transcript.pyannote[2286].speaker |
SPEAKER_06 |
transcript.pyannote[2286].start |
15854.73471875 |
transcript.pyannote[2286].end |
15855.27471875 |
transcript.pyannote[2287].speaker |
SPEAKER_06 |
transcript.pyannote[2287].start |
15855.88221875 |
transcript.pyannote[2287].end |
15857.45159375 |
transcript.pyannote[2288].speaker |
SPEAKER_06 |
transcript.pyannote[2288].start |
15857.70471875 |
transcript.pyannote[2288].end |
15858.22784375 |
transcript.pyannote[2289].speaker |
SPEAKER_06 |
transcript.pyannote[2289].start |
15859.24034375 |
transcript.pyannote[2289].end |
15860.32034375 |
transcript.pyannote[2290].speaker |
SPEAKER_06 |
transcript.pyannote[2290].start |
15861.26534375 |
transcript.pyannote[2290].end |
15861.70409375 |
transcript.pyannote[2291].speaker |
SPEAKER_06 |
transcript.pyannote[2291].start |
15862.58159375 |
transcript.pyannote[2291].end |
15863.03721875 |
transcript.pyannote[2292].speaker |
SPEAKER_06 |
transcript.pyannote[2292].start |
15864.15096875 |
transcript.pyannote[2292].end |
15871.18784375 |
transcript.pyannote[2293].speaker |
SPEAKER_06 |
transcript.pyannote[2293].start |
15871.89659375 |
transcript.pyannote[2293].end |
15874.74846875 |
transcript.pyannote[2294].speaker |
SPEAKER_06 |
transcript.pyannote[2294].start |
15874.86659375 |
transcript.pyannote[2294].end |
15890.00346875 |
transcript.pyannote[2295].speaker |
SPEAKER_06 |
transcript.pyannote[2295].start |
15890.59409375 |
transcript.pyannote[2295].end |
15904.93784375 |
transcript.pyannote[2296].speaker |
SPEAKER_06 |
transcript.pyannote[2296].start |
15905.34284375 |
transcript.pyannote[2296].end |
15918.72471875 |
transcript.pyannote[2297].speaker |
SPEAKER_06 |
transcript.pyannote[2297].start |
15919.21409375 |
transcript.pyannote[2297].end |
15940.81409375 |
transcript.pyannote[2298].speaker |
SPEAKER_06 |
transcript.pyannote[2298].start |
15941.28659375 |
transcript.pyannote[2298].end |
15953.53784375 |
transcript.pyannote[2299].speaker |
SPEAKER_06 |
transcript.pyannote[2299].start |
15953.90909375 |
transcript.pyannote[2299].end |
15955.02284375 |
transcript.pyannote[2300].speaker |
SPEAKER_06 |
transcript.pyannote[2300].start |
15955.98471875 |
transcript.pyannote[2300].end |
15958.14471875 |
transcript.pyannote[2301].speaker |
SPEAKER_06 |
transcript.pyannote[2301].start |
15960.27096875 |
transcript.pyannote[2301].end |
15989.78534375 |
transcript.pyannote[2302].speaker |
SPEAKER_06 |
transcript.pyannote[2302].start |
15990.37596875 |
transcript.pyannote[2302].end |
15991.01721875 |
transcript.pyannote[2303].speaker |
SPEAKER_06 |
transcript.pyannote[2303].start |
15991.30409375 |
transcript.pyannote[2303].end |
15991.74284375 |
transcript.pyannote[2304].speaker |
SPEAKER_06 |
transcript.pyannote[2304].start |
15992.75534375 |
transcript.pyannote[2304].end |
15993.91971875 |
transcript.pyannote[2305].speaker |
SPEAKER_04 |
transcript.pyannote[2305].start |
15994.83096875 |
transcript.pyannote[2305].end |
15996.72096875 |
transcript.pyannote[2306].speaker |
SPEAKER_04 |
transcript.pyannote[2306].start |
15997.46346875 |
transcript.pyannote[2306].end |
16001.83409375 |
transcript.pyannote[2307].speaker |
SPEAKER_04 |
transcript.pyannote[2307].start |
16002.07034375 |
transcript.pyannote[2307].end |
16076.69159375 |
transcript.pyannote[2308].speaker |
SPEAKER_04 |
transcript.pyannote[2308].start |
16077.21471875 |
transcript.pyannote[2308].end |
16105.02471875 |
transcript.pyannote[2309].speaker |
SPEAKER_06 |
transcript.pyannote[2309].start |
16105.05846875 |
transcript.pyannote[2309].end |
16120.16159375 |
transcript.pyannote[2310].speaker |
SPEAKER_06 |
transcript.pyannote[2310].start |
16120.51596875 |
transcript.pyannote[2310].end |
16130.82659375 |
transcript.pyannote[2311].speaker |
SPEAKER_06 |
transcript.pyannote[2311].start |
16131.19784375 |
transcript.pyannote[2311].end |
16157.03346875 |
transcript.pyannote[2312].speaker |
SPEAKER_06 |
transcript.pyannote[2312].start |
16157.32034375 |
transcript.pyannote[2312].end |
16198.34346875 |
transcript.pyannote[2313].speaker |
SPEAKER_06 |
transcript.pyannote[2313].start |
16198.91721875 |
transcript.pyannote[2313].end |
16201.27971875 |
transcript.pyannote[2314].speaker |
SPEAKER_06 |
transcript.pyannote[2314].start |
16202.52846875 |
transcript.pyannote[2314].end |
16203.57471875 |
transcript.pyannote[2315].speaker |
SPEAKER_06 |
transcript.pyannote[2315].start |
16203.89534375 |
transcript.pyannote[2315].end |
16209.54846875 |
transcript.pyannote[2316].speaker |
SPEAKER_06 |
transcript.pyannote[2316].start |
16209.83534375 |
transcript.pyannote[2316].end |
16216.60221875 |
transcript.pyannote[2317].speaker |
SPEAKER_06 |
transcript.pyannote[2317].start |
16216.72034375 |
transcript.pyannote[2317].end |
16221.05721875 |
transcript.pyannote[2318].speaker |
SPEAKER_06 |
transcript.pyannote[2318].start |
16221.51284375 |
transcript.pyannote[2318].end |
16248.58034375 |
transcript.pyannote[2319].speaker |
SPEAKER_06 |
transcript.pyannote[2319].start |
16249.22159375 |
transcript.pyannote[2319].end |
16264.84784375 |
transcript.pyannote[2320].speaker |
SPEAKER_13 |
transcript.pyannote[2320].start |
16265.84346875 |
transcript.pyannote[2320].end |
16293.09659375 |
transcript.pyannote[2321].speaker |
SPEAKER_06 |
transcript.pyannote[2321].start |
16276.00221875 |
transcript.pyannote[2321].end |
16278.46596875 |
transcript.pyannote[2322].speaker |
SPEAKER_00 |
transcript.pyannote[2322].start |
16289.04659375 |
transcript.pyannote[2322].end |
16289.78909375 |
transcript.pyannote[2323].speaker |
SPEAKER_21 |
transcript.pyannote[2323].start |
16289.78909375 |
transcript.pyannote[2323].end |
16289.97471875 |
transcript.pyannote[2324].speaker |
SPEAKER_00 |
transcript.pyannote[2324].start |
16289.97471875 |
transcript.pyannote[2324].end |
16290.17721875 |
transcript.pyannote[2325].speaker |
SPEAKER_00 |
transcript.pyannote[2325].start |
16290.27846875 |
transcript.pyannote[2325].end |
16290.39659375 |
transcript.pyannote[2326].speaker |
SPEAKER_00 |
transcript.pyannote[2326].start |
16290.41346875 |
transcript.pyannote[2326].end |
16290.46409375 |
transcript.pyannote[2327].speaker |
SPEAKER_00 |
transcript.pyannote[2327].start |
16290.56534375 |
transcript.pyannote[2327].end |
16291.24034375 |
transcript.pyannote[2328].speaker |
SPEAKER_03 |
transcript.pyannote[2328].start |
16291.24034375 |
transcript.pyannote[2328].end |
16291.27409375 |
transcript.pyannote[2329].speaker |
SPEAKER_00 |
transcript.pyannote[2329].start |
16291.27409375 |
transcript.pyannote[2329].end |
16291.35846875 |
transcript.pyannote[2330].speaker |
SPEAKER_06 |
transcript.pyannote[2330].start |
16291.35846875 |
transcript.pyannote[2330].end |
16291.67909375 |
transcript.pyannote[2331].speaker |
SPEAKER_06 |
transcript.pyannote[2331].start |
16304.60534375 |
transcript.pyannote[2331].end |
16306.64721875 |
transcript.pyannote[2332].speaker |
SPEAKER_06 |
transcript.pyannote[2332].start |
16306.91721875 |
transcript.pyannote[2332].end |
16308.67221875 |
transcript.pyannote[2333].speaker |
SPEAKER_06 |
transcript.pyannote[2333].start |
16309.06034375 |
transcript.pyannote[2333].end |
16313.54909375 |
transcript.pyannote[2334].speaker |
SPEAKER_06 |
transcript.pyannote[2334].start |
16313.78534375 |
transcript.pyannote[2334].end |
16318.81409375 |
transcript.pyannote[2335].speaker |
SPEAKER_06 |
transcript.pyannote[2335].start |
16319.62409375 |
transcript.pyannote[2335].end |
16321.83471875 |
transcript.pyannote[2336].speaker |
SPEAKER_15 |
transcript.pyannote[2336].start |
16332.55034375 |
transcript.pyannote[2336].end |
16334.25471875 |
transcript.pyannote[2337].speaker |
SPEAKER_06 |
transcript.pyannote[2337].start |
16334.60909375 |
transcript.pyannote[2337].end |
16335.58784375 |
transcript.pyannote[2338].speaker |
SPEAKER_06 |
transcript.pyannote[2338].start |
16335.94221875 |
transcript.pyannote[2338].end |
16336.83659375 |
transcript.pyannote[2339].speaker |
SPEAKER_15 |
transcript.pyannote[2339].start |
16340.36346875 |
transcript.pyannote[2339].end |
16354.87596875 |
transcript.pyannote[2340].speaker |
SPEAKER_15 |
transcript.pyannote[2340].start |
16355.33159375 |
transcript.pyannote[2340].end |
16359.82034375 |
transcript.pyannote[2341].speaker |
SPEAKER_15 |
transcript.pyannote[2341].start |
16360.36034375 |
transcript.pyannote[2341].end |
16364.84909375 |
transcript.pyannote[2342].speaker |
SPEAKER_15 |
transcript.pyannote[2342].start |
16365.30471875 |
transcript.pyannote[2342].end |
16366.14846875 |
transcript.pyannote[2343].speaker |
SPEAKER_15 |
transcript.pyannote[2343].start |
16366.50284375 |
transcript.pyannote[2343].end |
16369.54034375 |
transcript.pyannote[2344].speaker |
SPEAKER_15 |
transcript.pyannote[2344].start |
16369.94534375 |
transcript.pyannote[2344].end |
16380.84659375 |
transcript.pyannote[2345].speaker |
SPEAKER_15 |
transcript.pyannote[2345].start |
16381.16721875 |
transcript.pyannote[2345].end |
16385.55471875 |
transcript.pyannote[2346].speaker |
SPEAKER_15 |
transcript.pyannote[2346].start |
16385.95971875 |
transcript.pyannote[2346].end |
16389.65534375 |
transcript.pyannote[2347].speaker |
SPEAKER_15 |
transcript.pyannote[2347].start |
16390.29659375 |
transcript.pyannote[2347].end |
16400.38784375 |
transcript.pyannote[2348].speaker |
SPEAKER_15 |
transcript.pyannote[2348].start |
16400.77596875 |
transcript.pyannote[2348].end |
16402.02471875 |
transcript.pyannote[2349].speaker |
SPEAKER_15 |
transcript.pyannote[2349].start |
16402.37909375 |
transcript.pyannote[2349].end |
16408.36971875 |
transcript.pyannote[2350].speaker |
SPEAKER_15 |
transcript.pyannote[2350].start |
16408.77471875 |
transcript.pyannote[2350].end |
16418.14034375 |
transcript.pyannote[2351].speaker |
SPEAKER_15 |
transcript.pyannote[2351].start |
16418.19096875 |
transcript.pyannote[2351].end |
16421.22846875 |
transcript.pyannote[2352].speaker |
SPEAKER_15 |
transcript.pyannote[2352].start |
16421.90346875 |
transcript.pyannote[2352].end |
16431.25221875 |
transcript.pyannote[2353].speaker |
SPEAKER_15 |
transcript.pyannote[2353].start |
16434.40784375 |
transcript.pyannote[2353].end |
16439.53784375 |
transcript.pyannote[2354].speaker |
SPEAKER_13 |
transcript.pyannote[2354].start |
16438.35659375 |
transcript.pyannote[2354].end |
16439.36909375 |
transcript.pyannote[2355].speaker |
SPEAKER_13 |
transcript.pyannote[2355].start |
16441.37721875 |
transcript.pyannote[2355].end |
16469.96346875 |
transcript.pyannote[2356].speaker |
SPEAKER_15 |
transcript.pyannote[2356].start |
16442.38971875 |
transcript.pyannote[2356].end |
16442.92971875 |
transcript.pyannote[2357].speaker |
SPEAKER_15 |
transcript.pyannote[2357].start |
16444.04346875 |
transcript.pyannote[2357].end |
16444.31346875 |
transcript.pyannote[2358].speaker |
SPEAKER_17 |
transcript.pyannote[2358].start |
16444.31346875 |
transcript.pyannote[2358].end |
16444.33034375 |
transcript.pyannote[2359].speaker |
SPEAKER_00 |
transcript.pyannote[2359].start |
16451.73846875 |
transcript.pyannote[2359].end |
16452.32909375 |
transcript.pyannote[2360].speaker |
SPEAKER_15 |
transcript.pyannote[2360].start |
16463.04471875 |
transcript.pyannote[2360].end |
16463.33159375 |
transcript.pyannote[2361].speaker |
SPEAKER_15 |
transcript.pyannote[2361].start |
16469.96346875 |
transcript.pyannote[2361].end |
16480.78034375 |
transcript.pyannote[2362].speaker |
SPEAKER_13 |
transcript.pyannote[2362].start |
16483.41284375 |
transcript.pyannote[2362].end |
16492.84596875 |
transcript.pyannote[2363].speaker |
SPEAKER_15 |
transcript.pyannote[2363].start |
16490.04471875 |
transcript.pyannote[2363].end |
16490.24721875 |
transcript.pyannote[2364].speaker |
SPEAKER_15 |
transcript.pyannote[2364].start |
16492.66034375 |
transcript.pyannote[2364].end |
16496.01846875 |
transcript.pyannote[2365].speaker |
SPEAKER_13 |
transcript.pyannote[2365].start |
16494.61784375 |
transcript.pyannote[2365].end |
16498.36409375 |
transcript.pyannote[2366].speaker |
SPEAKER_15 |
transcript.pyannote[2366].start |
16497.11534375 |
transcript.pyannote[2366].end |
16504.27034375 |
transcript.pyannote[2367].speaker |
SPEAKER_15 |
transcript.pyannote[2367].start |
16506.26159375 |
transcript.pyannote[2367].end |
16525.09409375 |
transcript.pyannote[2368].speaker |
SPEAKER_15 |
transcript.pyannote[2368].start |
16525.73534375 |
transcript.pyannote[2368].end |
16528.99221875 |
transcript.pyannote[2369].speaker |
SPEAKER_00 |
transcript.pyannote[2369].start |
16525.93784375 |
transcript.pyannote[2369].end |
16525.95471875 |
transcript.pyannote[2370].speaker |
SPEAKER_21 |
transcript.pyannote[2370].start |
16525.95471875 |
transcript.pyannote[2370].end |
16525.97159375 |
transcript.pyannote[2371].speaker |
SPEAKER_00 |
transcript.pyannote[2371].start |
16525.97159375 |
transcript.pyannote[2371].end |
16526.89971875 |
transcript.pyannote[2372].speaker |
SPEAKER_15 |
transcript.pyannote[2372].start |
16529.85284375 |
transcript.pyannote[2372].end |
16534.15596875 |
transcript.pyannote[2373].speaker |
SPEAKER_15 |
transcript.pyannote[2373].start |
16534.64534375 |
transcript.pyannote[2373].end |
16538.54346875 |
transcript.pyannote[2374].speaker |
SPEAKER_15 |
transcript.pyannote[2374].start |
16539.06659375 |
transcript.pyannote[2374].end |
16541.42909375 |
transcript.pyannote[2375].speaker |
SPEAKER_15 |
transcript.pyannote[2375].start |
16541.73284375 |
transcript.pyannote[2375].end |
16547.94284375 |
transcript.pyannote[2376].speaker |
SPEAKER_15 |
transcript.pyannote[2376].start |
16548.31409375 |
transcript.pyannote[2376].end |
16550.52471875 |
transcript.pyannote[2377].speaker |
SPEAKER_15 |
transcript.pyannote[2377].start |
16551.19971875 |
transcript.pyannote[2377].end |
16557.37596875 |
transcript.pyannote[2378].speaker |
SPEAKER_15 |
transcript.pyannote[2378].start |
16557.67971875 |
transcript.pyannote[2378].end |
16558.79346875 |
transcript.pyannote[2379].speaker |
SPEAKER_15 |
transcript.pyannote[2379].start |
16559.62034375 |
transcript.pyannote[2379].end |
16575.29721875 |
transcript.pyannote[2380].speaker |
SPEAKER_15 |
transcript.pyannote[2380].start |
16576.30971875 |
transcript.pyannote[2380].end |
16579.41471875 |
transcript.pyannote[2381].speaker |
SPEAKER_15 |
transcript.pyannote[2381].start |
16579.88721875 |
transcript.pyannote[2381].end |
16581.25409375 |
transcript.pyannote[2382].speaker |
SPEAKER_15 |
transcript.pyannote[2382].start |
16581.50721875 |
transcript.pyannote[2382].end |
16583.09346875 |
transcript.pyannote[2383].speaker |
SPEAKER_13 |
transcript.pyannote[2383].start |
16585.37159375 |
transcript.pyannote[2383].end |
16597.63971875 |
transcript.pyannote[2384].speaker |
SPEAKER_13 |
transcript.pyannote[2384].start |
16597.90971875 |
transcript.pyannote[2384].end |
16599.96846875 |
transcript.pyannote[2385].speaker |
SPEAKER_15 |
transcript.pyannote[2385].start |
16599.96846875 |
transcript.pyannote[2385].end |
16610.24534375 |
transcript.pyannote[2386].speaker |
SPEAKER_13 |
transcript.pyannote[2386].start |
16601.79096875 |
transcript.pyannote[2386].end |
16601.80784375 |
transcript.pyannote[2387].speaker |
SPEAKER_13 |
transcript.pyannote[2387].start |
16601.84159375 |
transcript.pyannote[2387].end |
16601.99346875 |
transcript.pyannote[2388].speaker |
SPEAKER_13 |
transcript.pyannote[2388].start |
16602.01034375 |
transcript.pyannote[2388].end |
16602.02721875 |
transcript.pyannote[2389].speaker |
SPEAKER_13 |
transcript.pyannote[2389].start |
16602.12846875 |
transcript.pyannote[2389].end |
16602.17909375 |
transcript.pyannote[2390].speaker |
SPEAKER_13 |
transcript.pyannote[2390].start |
16602.19596875 |
transcript.pyannote[2390].end |
16603.96784375 |
transcript.pyannote[2391].speaker |
SPEAKER_21 |
transcript.pyannote[2391].start |
16603.96784375 |
transcript.pyannote[2391].end |
16604.47409375 |
transcript.pyannote[2392].speaker |
SPEAKER_15 |
transcript.pyannote[2392].start |
16610.51534375 |
transcript.pyannote[2392].end |
16611.84846875 |
transcript.pyannote[2393].speaker |
SPEAKER_13 |
transcript.pyannote[2393].start |
16611.34221875 |
transcript.pyannote[2393].end |
16611.81471875 |
transcript.pyannote[2394].speaker |
SPEAKER_13 |
transcript.pyannote[2394].start |
16611.84846875 |
transcript.pyannote[2394].end |
16612.55721875 |
transcript.pyannote[2395].speaker |
SPEAKER_15 |
transcript.pyannote[2395].start |
16612.55721875 |
transcript.pyannote[2395].end |
16613.01284375 |
transcript.pyannote[2396].speaker |
SPEAKER_13 |
transcript.pyannote[2396].start |
16613.01284375 |
transcript.pyannote[2396].end |
16613.33346875 |
transcript.pyannote[2397].speaker |
SPEAKER_15 |
transcript.pyannote[2397].start |
16613.21534375 |
transcript.pyannote[2397].end |
16627.12034375 |
transcript.pyannote[2398].speaker |
SPEAKER_13 |
transcript.pyannote[2398].start |
16614.41346875 |
transcript.pyannote[2398].end |
16616.25284375 |
transcript.pyannote[2399].speaker |
SPEAKER_15 |
transcript.pyannote[2399].start |
16628.09909375 |
transcript.pyannote[2399].end |
16628.30159375 |
transcript.pyannote[2400].speaker |
SPEAKER_04 |
transcript.pyannote[2400].start |
16628.68971875 |
transcript.pyannote[2400].end |
16630.73159375 |
transcript.pyannote[2401].speaker |
SPEAKER_15 |
transcript.pyannote[2401].start |
16629.93846875 |
transcript.pyannote[2401].end |
16631.05221875 |
transcript.pyannote[2402].speaker |
SPEAKER_04 |
transcript.pyannote[2402].start |
16631.01846875 |
transcript.pyannote[2402].end |
16643.52284375 |
transcript.pyannote[2403].speaker |
SPEAKER_15 |
transcript.pyannote[2403].start |
16642.20659375 |
transcript.pyannote[2403].end |
16643.52284375 |
transcript.pyannote[2404].speaker |
SPEAKER_21 |
transcript.pyannote[2404].start |
16643.52284375 |
transcript.pyannote[2404].end |
16643.69159375 |
transcript.pyannote[2405].speaker |
SPEAKER_15 |
transcript.pyannote[2405].start |
16643.69159375 |
transcript.pyannote[2405].end |
16643.70846875 |
transcript.pyannote[2406].speaker |
SPEAKER_21 |
transcript.pyannote[2406].start |
16643.70846875 |
transcript.pyannote[2406].end |
16643.74221875 |
transcript.pyannote[2407].speaker |
SPEAKER_15 |
transcript.pyannote[2407].start |
16643.74221875 |
transcript.pyannote[2407].end |
16643.79284375 |
transcript.pyannote[2408].speaker |
SPEAKER_21 |
transcript.pyannote[2408].start |
16643.79284375 |
transcript.pyannote[2408].end |
16643.87721875 |
transcript.pyannote[2409].speaker |
SPEAKER_15 |
transcript.pyannote[2409].start |
16643.89409375 |
transcript.pyannote[2409].end |
16675.70346875 |
transcript.pyannote[2410].speaker |
SPEAKER_04 |
transcript.pyannote[2410].start |
16644.88971875 |
transcript.pyannote[2410].end |
16644.97409375 |
transcript.pyannote[2411].speaker |
SPEAKER_04 |
transcript.pyannote[2411].start |
16646.42534375 |
transcript.pyannote[2411].end |
16646.67846875 |
transcript.pyannote[2412].speaker |
SPEAKER_04 |
transcript.pyannote[2412].start |
16647.84284375 |
transcript.pyannote[2412].end |
16648.97346875 |
transcript.pyannote[2413].speaker |
SPEAKER_21 |
transcript.pyannote[2413].start |
16651.18409375 |
transcript.pyannote[2413].end |
16651.97721875 |
transcript.pyannote[2414].speaker |
SPEAKER_03 |
transcript.pyannote[2414].start |
16651.97721875 |
transcript.pyannote[2414].end |
16652.75346875 |
transcript.pyannote[2415].speaker |
SPEAKER_03 |
transcript.pyannote[2415].start |
16652.83784375 |
transcript.pyannote[2415].end |
16653.69846875 |
transcript.pyannote[2416].speaker |
SPEAKER_04 |
transcript.pyannote[2416].start |
16675.83846875 |
transcript.pyannote[2416].end |
16709.38596875 |
transcript.pyannote[2417].speaker |
SPEAKER_15 |
transcript.pyannote[2417].start |
16676.96909375 |
transcript.pyannote[2417].end |
16677.15471875 |
transcript.pyannote[2418].speaker |
SPEAKER_15 |
transcript.pyannote[2418].start |
16681.17096875 |
transcript.pyannote[2418].end |
16682.16659375 |
transcript.pyannote[2419].speaker |
SPEAKER_21 |
transcript.pyannote[2419].start |
16684.98471875 |
transcript.pyannote[2419].end |
16685.03534375 |
transcript.pyannote[2420].speaker |
SPEAKER_15 |
transcript.pyannote[2420].start |
16685.03534375 |
transcript.pyannote[2420].end |
16687.00971875 |
transcript.pyannote[2421].speaker |
SPEAKER_15 |
transcript.pyannote[2421].start |
16708.81221875 |
transcript.pyannote[2421].end |
16718.02596875 |
transcript.pyannote[2422].speaker |
SPEAKER_04 |
transcript.pyannote[2422].start |
16713.99284375 |
transcript.pyannote[2422].end |
16714.19534375 |
transcript.pyannote[2423].speaker |
SPEAKER_04 |
transcript.pyannote[2423].start |
16715.86596875 |
transcript.pyannote[2423].end |
16724.16846875 |
transcript.pyannote[2424].speaker |
SPEAKER_15 |
transcript.pyannote[2424].start |
16724.16846875 |
transcript.pyannote[2424].end |
16726.34534375 |
transcript.pyannote[2425].speaker |
SPEAKER_15 |
transcript.pyannote[2425].start |
16726.76721875 |
transcript.pyannote[2425].end |
16729.88909375 |
transcript.pyannote[2426].speaker |
SPEAKER_15 |
transcript.pyannote[2426].start |
16730.76659375 |
transcript.pyannote[2426].end |
16735.94721875 |
transcript.pyannote[2427].speaker |
SPEAKER_15 |
transcript.pyannote[2427].start |
16736.70659375 |
transcript.pyannote[2427].end |
16753.54784375 |
transcript.pyannote[2428].speaker |
SPEAKER_25 |
transcript.pyannote[2428].start |
16741.41471875 |
transcript.pyannote[2428].end |
16741.87034375 |
transcript.pyannote[2429].speaker |
SPEAKER_15 |
transcript.pyannote[2429].start |
16753.91909375 |
transcript.pyannote[2429].end |
16761.69846875 |
transcript.pyannote[2430].speaker |
SPEAKER_15 |
transcript.pyannote[2430].start |
16761.88409375 |
transcript.pyannote[2430].end |
16774.21971875 |
transcript.pyannote[2431].speaker |
SPEAKER_21 |
transcript.pyannote[2431].start |
16762.08659375 |
transcript.pyannote[2431].end |
16762.96409375 |
transcript.pyannote[2432].speaker |
SPEAKER_00 |
transcript.pyannote[2432].start |
16762.96409375 |
transcript.pyannote[2432].end |
16763.23409375 |
transcript.pyannote[2433].speaker |
SPEAKER_00 |
transcript.pyannote[2433].start |
16763.77409375 |
transcript.pyannote[2433].end |
16764.61784375 |
transcript.pyannote[2434].speaker |
SPEAKER_21 |
transcript.pyannote[2434].start |
16770.35534375 |
transcript.pyannote[2434].end |
16771.16534375 |
transcript.pyannote[2435].speaker |
SPEAKER_15 |
transcript.pyannote[2435].start |
16774.74284375 |
transcript.pyannote[2435].end |
16776.41346875 |
transcript.pyannote[2436].speaker |
SPEAKER_04 |
transcript.pyannote[2436].start |
16776.64971875 |
transcript.pyannote[2436].end |
16814.06159375 |
transcript.pyannote[2437].speaker |
SPEAKER_15 |
transcript.pyannote[2437].start |
16812.89721875 |
transcript.pyannote[2437].end |
16818.39846875 |
transcript.pyannote[2438].speaker |
SPEAKER_15 |
transcript.pyannote[2438].start |
16818.97221875 |
transcript.pyannote[2438].end |
16825.01346875 |
transcript.pyannote[2439].speaker |
SPEAKER_15 |
transcript.pyannote[2439].start |
16825.57034375 |
transcript.pyannote[2439].end |
16834.24409375 |
transcript.pyannote[2440].speaker |
SPEAKER_15 |
transcript.pyannote[2440].start |
16835.29034375 |
transcript.pyannote[2440].end |
16840.72409375 |
transcript.pyannote[2441].speaker |
SPEAKER_15 |
transcript.pyannote[2441].start |
16841.12909375 |
transcript.pyannote[2441].end |
16843.79534375 |
transcript.pyannote[2442].speaker |
SPEAKER_15 |
transcript.pyannote[2442].start |
16846.03971875 |
transcript.pyannote[2442].end |
16846.05659375 |
transcript.pyannote[2443].speaker |
SPEAKER_06 |
transcript.pyannote[2443].start |
16846.05659375 |
transcript.pyannote[2443].end |
16848.03096875 |
transcript.pyannote[2444].speaker |
SPEAKER_06 |
transcript.pyannote[2444].start |
16849.49909375 |
transcript.pyannote[2444].end |
16858.35846875 |
transcript.pyannote[2445].speaker |
SPEAKER_06 |
transcript.pyannote[2445].start |
16858.74659375 |
transcript.pyannote[2445].end |
16870.08659375 |
transcript.pyannote[2446].speaker |
SPEAKER_06 |
transcript.pyannote[2446].start |
16870.99784375 |
transcript.pyannote[2446].end |
16887.58596875 |
transcript.pyannote[2447].speaker |
SPEAKER_06 |
transcript.pyannote[2447].start |
16888.05846875 |
transcript.pyannote[2447].end |
16890.57284375 |
transcript.whisperx[0].start |
1797.878 |
transcript.whisperx[0].end |
1799.085 |
transcript.whisperx[0].text |
好 各位請坐 |
transcript.whisperx[1].start |
1828.305 |
transcript.whisperx[1].end |
1836.494 |
transcript.whisperx[1].text |
好 出席委員已足法定人數現在開會請議事人員宣讀上次會議議事錄 |
transcript.whisperx[2].start |
1840.919 |
transcript.whisperx[2].end |
1868.525 |
transcript.whisperx[2].text |
立法院第十一屆第三會計交通委員會第十次全體委員會議議事錄時間一百一四年五月八日新一四上午九十九分至下午一十九分地點本院紅樓二零一會議室主席委員李坤哲等十五人練習委員李坤誠等二十人練習官員交通部部長陳士凱等主席許昭吉委員致解報告四項一 宣讀上述會議議事錄決定議事錄確定二處理一百一三年度凍結案及二案 |
transcript.whisperx[3].start |
1869.165 |
transcript.whisperx[3].end |
1897.866 |
transcript.whisperx[3].text |
決定個案書面報告已送達均予以備查提報院會進行專題報告一項並備質詢本日會議由交通部部長陳士凱等報告後藉由委員洪孟凱等二三人提出質詢軍警部長陳士凱及相關人員分別予以答覆決定一報告及詢答完畢二委員蘇清泉等三人所提書面質詢均列入記錄並刊登公報三委員於質詢中要求提供相關書面資料或未及答覆部分請交通部及相關機關建樹以書面答覆 |
transcript.whisperx[4].start |
1898.306 |
transcript.whisperx[4].end |
1926.784 |
transcript.whisperx[4].text |
三會宣布完畢好 各位委員對於會議制度會議錄有沒有有沒有意見好 沒有意見我們議事錄確定好 現在我們來介紹我們本會委員葛如晶委員陳雪生委員邱若驊委員許智傑委員 |
transcript.whisperx[5].start |
1929.846 |
transcript.whisperx[5].end |
1954.297 |
transcript.whisperx[5].text |
那個廖先祥委員陳素燮委員許護魁委員好現在我們來介紹官員我們數位部黃燕蘭部長數位策略師蔡司長 |
transcript.whisperx[6].start |
1956.294 |
transcript.whisperx[6].end |
1980.535 |
transcript.whisperx[6].text |
法治處陳學文處長國科會我們政務主任委員陳秉渝前瞻應用處專門委員何繼芳交通部政次陳彥博次長公共運輸司長林福山陸政司黃韻貴 |
transcript.whisperx[7].start |
1985.413 |
transcript.whisperx[7].end |
2009.394 |
transcript.whisperx[7].text |
會計處張信一處長法治處喜鴻達處長中規規劃師副司長吳東林副司長公務局陳文瑞局長高工局趙新華局長我們印書研究所副所長王孟衡 |
transcript.whisperx[8].start |
2011.783 |
transcript.whisperx[8].end |
2036.226 |
transcript.whisperx[8].text |
財政部國庫署檢任機合楊博存內政部交通組陳明柱執掌經濟部國營管理師專門委員黃繫暉能源署代理組長夏谷全標準局檢任機基政鄭乃延 |
transcript.whisperx[9].start |
2038.39 |
transcript.whisperx[9].end |
2065.002 |
transcript.whisperx[9].text |
台電公司專業總工程師郭芳蘭中油公司副總工程師陳國華自來水處長蔡博焱金融監督金融師專門委員王祺華這是什麼 利是吧 |
transcript.whisperx[10].start |
2066.788 |
transcript.whisperx[10].end |
2086.722 |
transcript.whisperx[10].text |
農業部自然署檢任機要林鄉立林院試驗所組長鄭美如環境部檢任機政李承仰行政院主計處公務預算處長專門委員王淺凱好好再來補充介紹我們林進憲委員 |
transcript.whisperx[11].start |
2098.055 |
transcript.whisperx[11].end |
2108.77 |
transcript.whisperx[11].text |
李坤哲委員蔡奇章副院長還有洪孟楷委員 |
transcript.whisperx[12].start |
2134.482 |
transcript.whisperx[12].end |
2153.808 |
transcript.whisperx[12].text |
好各位首先我們來處理程序問題現在一個程序動議提案是不是針對本日討論四項第一案人工智慧基本法等四案的審查請議事人員宣讀程序動議提案 |
transcript.whisperx[13].start |
2160.202 |
transcript.whisperx[13].end |
2187.908 |
transcript.whisperx[13].text |
有建議各黨團及各委員會針對人工智慧基本法草案人工智慧發展及管理條例草案所規範之中央主管機關應為數位發展部或國家科學及技術委員會產生旗艦至各版本與運匯裝備分別交由交通委員會或教育及文化交通兩委員會審查教育及文化委員會更已於一百一四年四月十六日即召開制定人工智慧基本法草案聯席公聽會 |
transcript.whisperx[14].start |
2189.068 |
transcript.whisperx[14].end |
2204.927 |
transcript.whisperx[14].text |
且行政院版本目前尚未正式提出然而國家科學及技術委員會主任委員吳承文於教育及文化委員會備詢時表示國科會違憲行政院會審查之人工智慧基本法草案提出單位未必免本院 |
transcript.whisperx[15].start |
2205.327 |
transcript.whisperx[15].end |
2234.104 |
transcript.whisperx[15].text |
交通委員會教育及文化委員會與審查人工智慧基本法草案人工智慧發展及管理條例草案時重複排案審查淪為雙頭馬車且針對人工智慧之應用規範以兼容科學研究創新及治安風險管理故交由教育及文化交通兩委會審查應更為妥適依據立法院各委員會組織法第13條規定原提案針對本日議程所列討論思想第一案應停止審查 |
transcript.whisperx[16].start |
2235.444 |
transcript.whisperx[16].end |
2239.226 |
transcript.whisperx[16].text |
好各位委員針對這些有沒有意見好有意見好那現在接下來我們就請陳旭花園是不是來登記一下好不好 |
transcript.whisperx[17].start |
2269.523 |
transcript.whisperx[17].end |
2276.1 |
transcript.whisperx[17].text |
好 那現在登記的葛如今委員先發言好不好 三分鐘 |
transcript.whisperx[18].start |
2287.056 |
transcript.whisperx[18].end |
2310.029 |
transcript.whisperx[18].text |
謝謝主席也謝謝與會的先進前輩以及機關部會的同仁長官我想今天要首先感謝林國成趙偉安排本日的議程也感謝民眾黨的支持我們才有這次重新討論議程的機會從各個委員會提案的內容當中可以很明確的知道 |
transcript.whisperx[19].start |
2310.609 |
transcript.whisperx[19].end |
2324.855 |
transcript.whisperx[19].text |
人工智慧的發展在未來橫跨多個領域非常需要跨部會進行研議因此希望待會在各個同僚的共識之下能夠將人工智慧基本法改由教育文化 |
transcript.whisperx[20].start |
2325.655 |
transcript.whisperx[20].end |
2351.235 |
transcript.whisperx[20].text |
联席交通委员会进行后续的审查让人工智慧相关的议题能够得到更充分更广泛以研发开放为主的讨论事实上回顾整个人工智慧基本法的立法过程在前任主委吴政中任内及着力甚深去年吴承文主委接任以后更是积极的与产业界学术界进行咨询会议 |
transcript.whisperx[21].start |
2351.955 |
transcript.whisperx[21].end |
2370.508 |
transcript.whisperx[21].text |
並且在去年的7月份由國科會進行草案預告收集各方意見也準時的在去年10月提報行政院進行討論直到今年的2月26號不明原因行政院突然一聲下令將人工智慧基本法 |
transcript.whisperx[22].start |
2370.908 |
transcript.whisperx[22].end |
2388.641 |
transcript.whisperx[22].text |
改由速發部主管之前整個人工智慧基本法的法制化作業其實一直是持續由國科會在著手推動的因此由教育文化委員會聯席交通委員會進行後續的審查絕對具有十足的正當性以及合理性 |
transcript.whisperx[23].start |
2389.361 |
transcript.whisperx[23].end |
2408.007 |
transcript.whisperx[23].text |
回顾过去立法院的确也曾经有法案改交其他委员会审查的案例例如第九届的个人资料保护法修正草案一开始交由司法法治委员会审查最终也在询答前经主席同意后提报院会改交由经济委员会进行审查 |
transcript.whisperx[24].start |
2408.667 |
transcript.whisperx[24].end |
2431.96 |
transcript.whisperx[24].text |
第十屆的生技新藥產業發展條例修正草案曾在經濟委員會兩位召委的同意之下提報院會改交由經濟社福及未還以及財政三個委員會聯席審查讓法案能夠獲得更完善更全面的討論最後也要感謝目前已經提出立法草案的民眾黨黨團以及十位立委的同僚 |
transcript.whisperx[25].start |
2432.941 |
transcript.whisperx[25].end |
2449.779 |
transcript.whisperx[25].text |
那也感謝交通及教文兩個委員會所有委員的支持後續也期望有更多的立委同僚一起關注人工智慧領域提出多元的法案版本進行討論本席認為目前正值台灣訂定人工智慧基本法的關鍵時刻面對國際競爭的壓力 |
transcript.whisperx[26].start |
2452.662 |
transcript.whisperx[26].end |
2471.086 |
transcript.whisperx[26].text |
台灣應盡速制定適合我們自身發展的人工智慧基本法其中需要非常多的資料需要非常多的人才以及教育以促進科技創新以及產業的發展同時兼顧人權倫理及社會價值維持台灣在全球AI產業的關鍵競爭與競爭力 |
transcript.whisperx[27].start |
2473.507 |
transcript.whisperx[27].end |
2493.077 |
transcript.whisperx[27].text |
未來AI治理奠定堅實的基礎5月8號在美國參議院所進行的聽證會有AMD有這個OpenAI出席相關的專案人士也都支持開放與人才的方針反對嚴格的審查式的監管因此本週三 |
transcript.whisperx[28].start |
2493.777 |
transcript.whisperx[28].end |
2512.913 |
transcript.whisperx[28].text |
教文委員會也將聯席交通委員會進行人工智慧基本法的詢答歡迎各位關心人工智慧相關議題的同僚踴躍登記詢答最終再次感謝鄰國陳昭偉安排今天的議程未來我們也將更加緊密的攜手合作共同促成台灣首部人工智慧基本法的誕生謝謝好 謝謝葛如今委員現在洪孟凱委員請發言 |
transcript.whisperx[29].start |
2529.451 |
transcript.whisperx[29].end |
2554.39 |
transcript.whisperx[29].text |
主席各位立院先進我想今天大家都知道人工智慧是未來大家世界潮流跟趨勢而台灣過去我們自詡是科技相關人才的輸出也因此人工智慧基本法絕對我們不能缺席更重要的是我們必須在這個世界趨勢的浪潮上面絕對要掌握先機 |
transcript.whisperx[30].start |
2555.251 |
transcript.whisperx[30].end |
2579.6 |
transcript.whisperx[30].text |
也因此從過去我們在第十屆的最後以及第十一屆開始的時候都一直希望人工智慧基本法可以列為國民黨團優先法案更不只一次在去年的時候我們在教育文化委員會我已經有跟國科會主委也都一直在問到底我們行政院院版的人工智慧基本法什麼時候會出爐 |
transcript.whisperx[31].start |
2581.041 |
transcript.whisperx[31].end |
2607.724 |
transcript.whisperx[31].text |
因為唯有行政部門跟我們立法部門大家共同來研商才能夠趕快把相關的法令給制定出來之後讓所有產業界公部門私領域有規則可循這是一個大家共同努力的方向所以現在看到教育文化委員會也已經在4月16號召開了公聘會當天本席也過去特別與 |
transcript.whisperx[32].start |
2609.719 |
transcript.whisperx[32].end |
2614.768 |
transcript.whisperx[32].text |
業界先進以及我們相關部門官員來做意見交流而現在 |
transcript.whisperx[33].start |
2616.482 |
transcript.whisperx[33].end |
2645.874 |
transcript.whisperx[33].text |
交通委員會以及交通文化委員會也都有各自人工智慧基本法的版本所以站在立法以及整個效率大家能夠匯集的方向上面我們更希望的是能夠把兩個委員會共同集中不要有多頭馬車的情況所以今天我們做出這個程序的動議就認為是現在交通委員會我們有幾案的人工智慧基本法草案或是人工智慧發展管理條例 |
transcript.whisperx[34].start |
2647.646 |
transcript.whisperx[34].end |
2675.022 |
transcript.whisperx[34].text |
與教育文化委員會的人工智慧基本法草案能夠並合併共同來做行政部門的一個審理我想這是一個開大門走大路並且匯集相關領域以及意見的時刻我們更希望是行政部門能夠在這個時間點上面趕快提出行政院的版本與立法委員共同的版本來做共同的討論所以在我相信 |
transcript.whisperx[35].start |
2675.402 |
transcript.whisperx[35].end |
2694.954 |
transcript.whisperx[35].text |
今天在交通委員會裡面的委員每一位委員不分黨派不分朝野都能夠支持我們國家需要趕快制定人工智慧基本法就請能夠接受今天我們所提出來的一個提議 以上謝謝謝謝我們黃孟楷委員 那個趙偉來那個喜之傑 趙偉來 |
transcript.whisperx[36].start |
2702.878 |
transcript.whisperx[36].end |
2725.152 |
transcript.whisperx[36].text |
那個蔡副院長你也準備一下因為這邊有兩個登記啊兩個花園那你來謝謝主席各位先進大家好剛剛洪孟愷我也提到這個AI是世界的潮流那全世界未來其實大家都非常的重視那台灣是AI |
transcript.whisperx[37].start |
2727.578 |
transcript.whisperx[37].end |
2746.076 |
transcript.whisperx[37].text |
製造硬體 全世界最強的國家那未來當然AI應用的這一部分我們也希望說台灣可以繼續的往前進目前台灣排名還不到前20名所以有很多需要我們整體去努力的空間那當然 |
transcript.whisperx[38].start |
2747.437 |
transcript.whisperx[38].end |
2768.612 |
transcript.whisperx[38].text |
這個部分將來最重要的重擔當然就是在數位發展部這個是最專業的單位未來負責最專業的事情推動台灣在這部分邁向世界成為最前進的國家這個當然是重中之重所以我們也希望說將來能夠交給 |
transcript.whisperx[39].start |
2772.155 |
transcript.whisperx[39].end |
2777.296 |
transcript.whisperx[39].text |
執行單位最專業的單位去做那這個單位是誰當然就是數位發展部 |
transcript.whisperx[40].start |
2778.678 |
transcript.whisperx[40].end |
2804.093 |
transcript.whisperx[40].text |
所以教育文化委員會大家一起關心這個我們都非常的覺得歡喜就是大家一起來關心一起來拍拚但是主要的單位組織的單位我認為我們還是要交給最專業的將來要執行的所以我們黨團也有一個版本就是說將來希望說我們給交通委員會跟教育文化委員會來聯席 OK |
transcript.whisperx[41].start |
2805.894 |
transcript.whisperx[41].end |
2834.587 |
transcript.whisperx[41].text |
但是主導當然就是交通委員會來主導行政院的版本也會以速發部為主所以我是覺得為什麼行政立法將來要一致的有共識而且我們希望台灣要做到最好我們也希望說最專業的數位發展部來主導希望說我們國民黨委員大家可以去同意就是說誰是最單位可以做到最好我們應該就要支持誰 |
transcript.whisperx[42].start |
2835.687 |
transcript.whisperx[42].end |
2847.658 |
transcript.whisperx[42].text |
不要只是說大家有個想法說要給誰就給誰不是這樣子 而是執行最重要的當然是誰我們必須做這一部分的思考希望國民黨委員一起來支持 謝謝好 謝謝喜智傑召委現在請陳樹葉委員發言 |
transcript.whisperx[43].start |
2866.106 |
transcript.whisperx[43].end |
2882.433 |
transcript.whisperx[43].text |
謝謝主席我想我們都知道就是隨著這個科技的一個日新月異的一個發展那這個AI基本法真的是大家期待能夠趕快來制定我想這個是大家的一個共識可是這個AI基本法未來制定之後的一個運用也 |
transcript.whisperx[44].start |
2883.874 |
transcript.whisperx[44].end |
2886.895 |
transcript.whisperx[44].text |
有很多的一個風險包括這個人權或者是倫理或者資安等等的風險這個也是必須我們要審慎去面對跟思考的一個部分所以為什麼行政院後來在院會會議之後會來確定這個主管機關改由速發部來主政 |
transcript.whisperx[45].start |
2902.679 |
transcript.whisperx[45].end |
2928.686 |
transcript.whisperx[45].text |
因為這個我想不管是這個創新的這個部分我想這個都是大家都是沒有意見的可是資安更加的一個重要我想這個部分涉及到國家的一個安全社會的一個安定所以我們當然對有委員主張說要改由教育教文跟交通委員會來聯席審查本席也不反對 |
transcript.whisperx[46].start |
2929.366 |
transcript.whisperx[46].end |
2945.831 |
transcript.whisperx[46].text |
不過我這邊我是主張應該聯席的話也應該要由交通委員會來主責因為行政院委員會已經確定主管機關是改油素發布來主政了所以聯席的話也應該是由交通委員會來聯席所以我在這邊建議主席要爭取因為我們要由我們交通委員會來 |
transcript.whisperx[47].start |
2951.152 |
transcript.whisperx[47].end |
2964.536 |
transcript.whisperx[47].text |
主責啦 我也支持有我們林國成 趙偉你來主責 我們都支持我們希望就是說這個也是我們在立法院的這個職權行使法因為已經由院會來交付教文會審查了我們也不希望說我們自我矮化 自廢武功然後要去讓給這個教文來主責 |
transcript.whisperx[48].start |
2972.958 |
transcript.whisperx[48].end |
2989.805 |
transcript.whisperx[48].text |
那在這個就是等一下就是我們希望就是說經過大家的一個討論然後我們也有一個版本那我們希望就是說由我們叫交通委員會來主責那希望這個AI基本法能夠透過大家的一個充分的一個討論有更完整的一個法案的一個內容謝謝 |
transcript.whisperx[49].start |
2995.621 |
transcript.whisperx[49].end |
3004.977 |
transcript.whisperx[49].text |
好 謝謝陳書瑋委員那另外現在有陳系動議另外一個案請我們議事委員宣讀第二案的動議 |
transcript.whisperx[50].start |
3011.877 |
transcript.whisperx[50].end |
3031.096 |
transcript.whisperx[50].text |
情緒動力提案二為避免本院交通委員會教育及文化委員會審查人工智慧基本法草案等案重複審查原依立法院各委員會組織法第十三條針對討論四項第一案均提報院會改交交通教育及文化兩委員會審查是否有當盡情公決提案人委員許志傑等宣讀完畢 |
transcript.whisperx[51].start |
3033.9 |
transcript.whisperx[51].end |
3052.611 |
transcript.whisperx[51].text |
因為今天這個動議有兩個案如果其中一案通過那另外一案就不處理那這裡特別跟各位報告我在看兩黨大家的共識都有啦也就是到底是誰來主導 |
transcript.whisperx[52].start |
3053.672 |
transcript.whisperx[52].end |
3079.423 |
transcript.whisperx[52].text |
那我特別要跟各位報告現在我們大會交給教育教文委員會有六案也是這個案子有六案那個時候當初是大會交給教育跟我們交通聯席那個交有六個案那我們這裡是有四個案 |
transcript.whisperx[53].start |
3080.339 |
transcript.whisperx[53].end |
3093.909 |
transcript.whisperx[53].text |
那因為這個會產生因為我在看大家我排這個當然我也想了蠻多的也就是說他們既然那邊有六案這裡四案那你不能一個案子兩個都在審那這樣的話可能會不連貫 |
transcript.whisperx[54].start |
3097.992 |
transcript.whisperx[54].end |
3112.271 |
transcript.whisperx[54].text |
所以我所以國民黨提這個案我才會把它排列說大家來處理那我還要特別是大家的看法AI的話沒有問題所以到那邊也是聯席在我們這裡也是聯席 |
transcript.whisperx[55].start |
3114.293 |
transcript.whisperx[55].end |
3134.032 |
transcript.whisperx[55].text |
所以這個部分我特別跟大家說明 大家都不反對這個現在就到底是數位部 或者這個教育體系的主管機關 問題在這裡而已那我還是建議啦 我還是建議 我們就照這些程序來處理那至於要改誰 |
transcript.whisperx[56].start |
3135.433 |
transcript.whisperx[56].end |
3156.005 |
transcript.whisperx[56].text |
那個我們也聯席啊我們交通我們也可以去堅持我們要主導或者教育要主導這個大家都可以商量我在想目標都一致這個華要讓他過要讓他過所以這個主席特別跟各位委員來做一個說明好不好那現在那個會長來 |
transcript.whisperx[57].start |
3161.104 |
transcript.whisperx[57].end |
3179.012 |
transcript.whisperx[57].text |
好 這個我們蔡副院長花言完了以後我們就進行處理好不好謝謝主席啦我想有幾個事項本席還是覺得我這個會期竟然在交通委員會我就應該為交通委員會講講話 |
transcript.whisperx[58].start |
3181.121 |
transcript.whisperx[58].end |
3205.304 |
transcript.whisperx[58].text |
第一個這個大家內容啦AI基本法的重要性然後要進入審查那基本上由交通跟教育委員會來聯席我想大家爭議都不大那彈擊這個事情順序一開始院會是交交通委員會一開始的案子只是後來的案子又交到教育委員會來審查 |
transcript.whisperx[59].start |
3207.145 |
transcript.whisperx[59].end |
3232.26 |
transcript.whisperx[59].text |
那所以呢 這個論級先後順序 院會一開始也是先交交通委員會來審查第二個 作為主管機關的 作為行政機關的行政院基本上 雖然版本還沒到但是如果大家私下問行政院的聯絡人 或者相關速發部 國科會都可以知道 行政院的態度是傾向速發部 |
transcript.whisperx[60].start |
3233.666 |
transcript.whisperx[60].end |
3249.628 |
transcript.whisperx[60].text |
那因為這個基本法的體力沒有主管機關只有未來的作用法也就是怎麼管理怎麼監督這個才有主管機關但是行政院傾向於統籌是由速發部來做所以呢 |
transcript.whisperx[61].start |
3250.95 |
transcript.whisperx[61].end |
3279.227 |
transcript.whisperx[61].text |
第二個本席覺得應該留在交通委員會來主審這是第二個原因第三個原因我本來以為這個主席啊民眾黨的版本看起來也是傾向有數發布來做為一個主導所以我也覺得應該留在這個交通委員會來審那最後呢我想是這樣子啦聯席審查都兩邊的委員都可以審但是差異在哪裡差異在譬如說 |
transcript.whisperx[62].start |
3280.783 |
transcript.whisperx[62].end |
3303.823 |
transcript.whisperx[62].text |
禮拜三教育委員會就排要審查AI基本法 但我們陳雪生委員 馬祖很重要地方建設 交通建設很重要 所以他排了馬祖考察那陳雪生委員他就沒辦法參加這個AI基本法的審查這個就對交通委員會的委員的權益有所損害 |
transcript.whisperx[63].start |
3305.12 |
transcript.whisperx[63].end |
3318.451 |
transcript.whisperx[63].text |
那所以未來也可能同樣的面臨同樣的問題就是其他交通委員會要排什麼那我們交通委員會的委員的權益相對會受損所以這個事情我的看法是就算要協商 |
transcript.whisperx[64].start |
3319.54 |
transcript.whisperx[64].end |
3348.263 |
transcript.whisperx[64].text |
也應該要請院長出來協商啦在這裡交通委員會表決然後交通委員會自我閹割說我們把它讓掉好了這個站在交通委員會本位跟專業的立場上本席作為交通委員的議員我還是要出來講講話啦當然如果等一下主席硬要表決那當然還是會國民黨來贏嘛因為人數多但我覺得立場的表達對於一個交通委員會專業的審查跟到底 |
transcript.whisperx[65].start |
3349.778 |
transcript.whisperx[65].end |
3377.113 |
transcript.whisperx[65].text |
教文委員會 交通委員會聯席審查反過來 交通委員會 教文委員會聯席審查它的差異到底是什麼所以我認為啦交通委員會的委員 我們本於做這個委員會的專業立委我們對於立場的表達上面我們應該還是要去堅持啦所以更何況行政院的主張他還是希望未來由抒發部來主導協調跟統合的這個角色所以本席還是主張齁 |
transcript.whisperx[66].start |
3379.094 |
transcript.whisperx[66].end |
3391.479 |
transcript.whisperx[66].text |
這個還是有差啦雖然兩個人會聯繫審查但那個差異到底在哪裡我覺得我還是要在這個站在這裡啊把它做一個說明跟釐清謝謝主席謝謝蔡其昌副院長我在看兩個案啦這個立場 |
transcript.whisperx[67].start |
3395.74 |
transcript.whisperx[67].end |
3411.755 |
transcript.whisperx[67].text |
都是一致也就是說這個AI法是要審的但是只是主責機關的認知不一樣其實這裡我特別要說明到那邊我們還是可以堅持也就是我們行政院版提出來 |
transcript.whisperx[68].start |
3412.836 |
transcript.whisperx[68].end |
3436.729 |
transcript.whisperx[68].text |
如果不管是數位部不管是國科會當然我們所有的委員還是可以去堅持跟更改啦在這個部分啊我在想既然抗華差距這麼多那是不是我們就依照我們的意識程序我們來做到底要表決或者要協商呢 |
transcript.whisperx[69].start |
3443.907 |
transcript.whisperx[69].end |
3470.237 |
transcript.whisperx[69].text |
我還是贊成剛剛蔡副院長提到的就是說其實我希望大家想一想未來要做事情是什麼樣的事情那就是速發部要做事情他主要要擔這個責任那你今天說教育委員會也有參與到那經濟部會不會有參與到 也有啊那其他的部會 很多部會勞動部有沒有參與到 也有啊那你為什麼不放到勞動部去 |
transcript.whisperx[70].start |
3472.179 |
transcript.whisperx[70].end |
3488.851 |
transcript.whisperx[70].text |
我希望大家想一想那個道理最主要的負責的單位就是速發部有參與到的教育部會參與到經濟部會參與到勞動部會參與到這麼多單位參與到的為什麼不放到其他的部會為什麼要放到教委會 |
transcript.whisperx[71].start |
3490.748 |
transcript.whisperx[71].end |
3504.668 |
transcript.whisperx[71].text |
那你放到衛環勞動部也可以啊你放到經濟部也可以啊為什麼要放在我們教委會為什麼要塑化部因為是他在主導未來是他在主導我希望大家想一想不是意識形態的問題是誰去做事的問題 |
transcript.whisperx[72].start |
3508.332 |
transcript.whisperx[72].end |
3525.179 |
transcript.whisperx[72].text |
這是差很多的 希望說大家想想啦那當然如果說大家今天投票或直接贊成我們的意見大家有困難 是不是就是剛剛蔡副院長講的 我們讓院會來協商那我們就進行表決好不好來來來 清點人數來 |
transcript.whisperx[73].start |
3529.267 |
transcript.whisperx[73].end |
3555.579 |
transcript.whisperx[73].text |
好 算一下14位好 在場委員本委員會委員14位好 贊成贊成國民黨提案的請先遞案先表決贊成提案1的請舉手那個那個葛衛原不行來 葛衛原不行 |
transcript.whisperx[74].start |
3559.346 |
transcript.whisperx[74].end |
3563.848 |
transcript.whisperx[74].text |
好七位七位來好緩隊的請舉手好七位好依照贊成跟緩隊同票數那依照有關規定同票數的起結議主席來做決定本席贊成提案第一案通過 |
transcript.whisperx[75].start |
3589.195 |
transcript.whisperx[75].end |
3604.143 |
transcript.whisperx[75].text |
不是 我特別進去那邊我們還可以堅持我也贊成 好不好好 那我們這個你們的版本是四花布 張偉你忘記了 |
transcript.whisperx[76].start |
3609.685 |
transcript.whisperx[76].end |
3638.465 |
transcript.whisperx[76].text |
我跟你講那個進了那邊我們都還可以我們的版本我們那個版本也是這樣沒錯不是啦 招委你是民眾黨跟國民黨推選的招委我們支持啦 這也尊重啦但是你做招委 既然自己把自我閹割你們自己民眾黨黨團的版本是速發布為主管單位那速發布在我們交通委員會那你怎麼會把這個案子送出去 |
transcript.whisperx[77].start |
3639.726 |
transcript.whisperx[77].end |
3645.613 |
transcript.whisperx[77].text |
個別私底下的意見我都願意跟所有委員來做說明跟溝通你不要投票 你應該用兩邊猜拳啦 抽籤啦這裡面 以照會議規範有關之規定來辦理啦 好不好 |
transcript.whisperx[78].start |
3654.343 |
transcript.whisperx[78].end |
3674.589 |
transcript.whisperx[78].text |
那至於我們民眾黨會支持在數位部或國科會那個時候我們到時候還是會來討論那我們的提案當然是那個數位部所以把所有的案齁所有的案把它連起來大家還可以談嘛不是這樣就解決嘛好不好 |
transcript.whisperx[79].start |
3678.259 |
transcript.whisperx[79].end |
3689.888 |
transcript.whisperx[79].text |
人工智慧基本法草案人工智慧發展及管理條例草案等四案依據立法院各委員會組織法第13條規定報請院會決定經改交 |
transcript.whisperx[80].start |
3700.683 |
transcript.whisperx[80].end |
3712.979 |
transcript.whisperx[80].text |
交易及文化交通兩委員會審查並以義事錄經主席核定後函報宴會處理這是今天的結議好 |
transcript.whisperx[81].start |
3718.063 |
transcript.whisperx[81].end |
3742.833 |
transcript.whisperx[81].text |
本案會議就不審了人工智慧基本法等四案數位部及國科會所送的書面報告列入記錄並刊登公報現在休息十分鐘先起十分鐘兩位機關代表就請先行離席謝謝大家感謝我們休息十分鐘 |
transcript.whisperx[82].start |
4349.5 |
transcript.whisperx[82].end |
4365.866 |
transcript.whisperx[82].text |
好 各位請就座接下來進行審查公路法及停車場法等修正草案的相關程序首先請提案的委員何新淳委員說明時間3分鐘 |
transcript.whisperx[83].start |
4374.482 |
transcript.whisperx[83].end |
4381.265 |
transcript.whisperx[83].text |
好 謝謝趙偉那本席來做我這一次提案的公路法第46條及第60條之一條文修正草案的簡要說明我想公路法已經很多很多年這個沒有修訂那最早在民國48年訂定那我知道在民國92年的時候也有修法 |
transcript.whisperx[84].start |
4397.572 |
transcript.whisperx[84].end |
4419.582 |
transcript.whisperx[84].text |
所謂的92年的修法版本是說我們發生交通事故致人於死或重傷者後那汽車運輸業的營業車輛發生交通事故之後呢車輛的所有人利用辦理過戶等方式行脫產之時所以影響後續受害人權益那在為了避免他們 |
transcript.whisperx[85].start |
4421.123 |
transcript.whisperx[85].end |
4448.224 |
transcript.whisperx[85].text |
所以受害者本人或其配偶親屬及申請可以提出申請暫不予以核准屬該業者登記名義全部或部分車輛過戶也就是說過去我們歷年來發生了很多的重大的交通意外事故有關營業車輛不管是遊覽車或是砂石車有時候他們因為是自有或是挖行 |
transcript.whisperx[86].start |
4449.925 |
transcript.whisperx[86].end |
4454.047 |
transcript.whisperx[86].text |
發生了重大的交通意外事故之後自然於死或重傷者那常常屢見發生就是行脫產之時那讓這個受害者配偶或家屬他沒有辦法得到應有的一個賠償 |
transcript.whisperx[87].start |
4466.932 |
transcript.whisperx[87].end |
4486.174 |
transcript.whisperx[87].text |
就已經身體不管是往生或是受重傷就很難過了但是我們在後續的協調裡面發生會損及受害人自身或家屬配偶的權益所以我在公路法第46條把它修為今天希望各個委員能夠支持的版本 |
transcript.whisperx[88].start |
4486.835 |
transcript.whisperx[88].end |
4514.435 |
transcript.whisperx[88].text |
希望把這個主管機關的被動申請方式調整修正為主動告知受害者本人或其配偶親屬也就是說如果一旦這個營業車輛發生了所謂的重大的交通事故致人於死或重傷者那我們交通部現行的公路主管機關應該要主動的來告知這個事件裡面受害者本人或其配偶親屬 |
transcript.whisperx[89].start |
4515.776 |
transcript.whisperx[89].end |
4528.989 |
transcript.whisperx[89].text |
來保障受害者人的法定權益也確保後續的賠償可以順利以及公道得以伸張第二個是公路法第60條之一也是在維護民眾的權益現行公路主管機關在修建或維護 |
transcript.whisperx[90].start |
4539.039 |
transcript.whisperx[90].end |
4568.306 |
transcript.whisperx[90].text |
公路及設施的安全需要巡查檢測的時候那目前的法定是得派員進入公司有土地內但是呢我們曾經在屢次的這個民眾的陳情裡面發現喔很多次的這個公路的相關單位要巡檢或者是檢測的時候進入了這個私人的土地的時候並沒有獲得地主的許可跟同意所以經常發生爭議所以我們提案修正是希望呢 |
transcript.whisperx[91].start |
4569.106 |
transcript.whisperx[91].end |
4574.073 |
transcript.whisperx[91].text |
能夠參考相關的行政程序法、民事訴訟法等等我們希望能夠要求有巡查或是檢測需求的單位必須以文書交郵務機構來掛號來送達 |
transcript.whisperx[92].start |
4586.829 |
transcript.whisperx[92].end |
4606.364 |
transcript.whisperx[92].text |
那我希望這樣子是可以保障雙方的一個權益既保障私有土地地主民眾的相關法定權益也能夠保障巡檢單位跟人員不因爭議而有可能受訴訟之災所以以上兩條法案的修法請各位支持 |
transcript.whisperx[93].start |
4608.171 |
transcript.whisperx[93].end |
4611.837 |
transcript.whisperx[93].text |
謝謝何欣淳委員現在接下來台灣民眾黨黨團提案由張祺凱委員說明 |
transcript.whisperx[94].start |
4628.317 |
transcript.whisperx[94].end |
4648.465 |
transcript.whisperx[94].text |
我來幫主席林國成林委員代表這個台灣民眾黨的提案做說明第一個在這個公路法修法部分我們因應超高齡社會保障銀髮族這個潛意識部分黨派的大家都知道今年我們就正式邁入超高齡社會了可是呢 |
transcript.whisperx[95].start |
4650.166 |
transcript.whisperx[95].end |
4674.161 |
transcript.whisperx[95].text |
我們的這個政府推出通用無障礙計程車這個服務啊受限於現有這個規定說計程車的這個車牌這個數量啊牌照這個數量是有限制的所以我們去做了一個統計到今年的三月份三月底啊全國通用計程車只有1324輛而且都集中在六都 |
transcript.whisperx[96].start |
4675.475 |
transcript.whisperx[96].end |
4703.067 |
transcript.whisperx[96].text |
六都以外九成的縣市一輛都沒有不只喪失了美意而且加劇我們偏鄉長者交通的落差所以我們台灣民眾黨經過研究發現目前公路法第39條之一第二項本來就有將優良駕駛申請個人牌照的排除在計程車牌照限制的之外因此為了確保年長者的出行自由並且平衡 |
transcript.whisperx[97].start |
4703.667 |
transcript.whisperx[97].end |
4731.19 |
transcript.whisperx[97].text |
六都以外縣市跟這個偏鄉高齡者的這個交通的這個落差台灣民眾黨提出我們要修正公路法的第39條之一第二項放寬有關通用計程車的不受現有計程車牌照的這個發放的這個限制希望放寬以後可以照顧我們這個長輩而且平衡各個縣市也照顧到偏鄉另外在停車場的這個修法部分我們發現 |
transcript.whisperx[98].start |
4732.971 |
transcript.whisperx[98].end |
4761.296 |
transcript.whisperx[98].text |
2050年淨零碳排這個目的推動的狀況之下交通部最近很積極在推廣電動車跟公共充電樁的這個設備那未來這個充電樁這個數量勢必一定是會再增加的可是最近有部分這個醫院又發生了這個電動汽車的那個起火那個原因現在政府又頒布了這個禁令規定說電動車不得放在地下停車場可是你去追根究底 |
transcript.whisperx[99].start |
4762.176 |
transcript.whisperx[99].end |
4778.269 |
transcript.whisperx[99].text |
他為什麼這個電動車有時候發生這個問題沒辦法去撲滅民眾這位電動車也有很多很多的餘力那政府要做的應該反而是去解決問題所以我們台灣民眾黨主張我們修正停車場法第38條把停車場內的公共 |
transcript.whisperx[100].start |
4784.013 |
transcript.whisperx[100].end |
4807.167 |
transcript.whisperx[100].text |
公共電動車這個車窗的這個設置還有修正這個責任要把它明確化只要我們做到這一塊就可以化解民眾的這個餘力而且降低公共安全發生的這個危險性也保障人民生命安全的這個生命安全同時可以確保這個環保永續的這個世代世代之間就這個目的所以我們要要求趕快修正停車場法第38條謝謝 |
transcript.whisperx[101].start |
4812.865 |
transcript.whisperx[101].end |
4822.772 |
transcript.whisperx[101].text |
好謝謝張祺凱委員好現在請機關代表報告現在我們請交通部政務次長陳彥博次長來報告 |
transcript.whisperx[102].start |
4835.633 |
transcript.whisperx[102].end |
4853.488 |
transcript.whisperx[102].text |
主席各位委員大家好今天應邀列席貴委員會就相關委員應該是審查這個台灣民眾黨黨團林委員俊憲陳委員冠廷徐委員富奎馬委員文君邱委員若華何委員辛存王 |
transcript.whisperx[103].start |
4854.068 |
transcript.whisperx[103].end |
4880.286 |
transcript.whisperx[103].text |
委員翊川等相關委員拟據的這個公路法修正草案共10案那另外台灣民眾黨團林委員俊憲、委員仙翔等相關委員拟據停車場法修正草案共3條那我們來提出本部的處理意見來敬請各位指教那首先就公路法的部分有關這個林委員俊憲等提案修正第27條28條第75條建議修正汽車 |
transcript.whisperx[104].start |
4884.128 |
transcript.whisperx[104].end |
4895.078 |
transcript.whisperx[104].text |
燃料使用費的名稱與納入非使用燃料車輛的徵收費率由交通部會同財政部定之及建議修正第72條增業管線機構設置之人手孔蓋與路面齊平標準與罰則 |
transcript.whisperx[105].start |
4901.343 |
transcript.whisperx[105].end |
4922.361 |
transcript.whisperx[105].text |
那陳委員 冠廷 徐委員 傅奎等提案修正第32條建議增列公路景觀工程應以原生樹種為優先何委員 新淳等提案修正第60條之一建議增訂公路主管機關為修建或維護公路派員進入公私立土地應以雙括號通知送達 |
transcript.whisperx[106].start |
4923.001 |
transcript.whisperx[106].end |
4935.535 |
transcript.whisperx[106].text |
本部競表同意並尊重這個委員會審查的一個結果那第二個呢是有關陳委員冠廷等提案修正第33條增列建議增訂公路設計相關規範應該落實符合 |
transcript.whisperx[107].start |
4939.739 |
transcript.whisperx[107].end |
4954.264 |
transcript.whisperx[107].text |
符合通行車種的軌跡驗證那考量現有的公路相關規範也有類似的一個規定所以我們建議是不是可以維持現行的一個條文那第三部分是有關台灣民眾黨團及馬委 |
transcript.whisperx[108].start |
4958.012 |
transcript.whisperx[108].end |
4973.072 |
transcript.whisperx[108].text |
馬偉文軍區委員洛華等提案修正第39條之一建議通用計程車不受現有計程車牌照發放的一個限制那考量各公路主管機關以可依據行政區考量現行的這個 |
transcript.whisperx[109].start |
4975.695 |
transcript.whisperx[109].end |
4998.954 |
transcript.whisperx[109].text |
已經可以橫著相關的供需來決定是否增發牌照那業者呢亦可以透過跨行政區過戶的一個機制來調控號牌的一個需求所以呢何委員心存提案的第46條然後另外何委員心存提案的第46條建議由公路主管機關主動通知交通事故受害者方申請 |
transcript.whisperx[110].start |
5002.057 |
transcript.whisperx[110].end |
5019.732 |
transcript.whisperx[110].text |
受害者方申請汽車運輸業暫不予以過戶繳銷那考量主動通知的作業有其不確定性卻現行實務作業也以是用這種方式在做處理那另外王委員逸川提案修正第65條建議增訂公共運輸業者 |
transcript.whisperx[111].start |
5023.215 |
transcript.whisperx[111].end |
5045.835 |
transcript.whisperx[111].text |
強制投保第三人責任保險考量該保險屬公司治理的風險分攤的範疇建議業者基於經理官吏需求來投保所以上述的這些條文我們建議是不是能夠維持現行的條文有關停車場法的部分就這個相關委員提案 |
transcript.whisperx[112].start |
5048.846 |
transcript.whisperx[112].end |
5069.16 |
transcript.whisperx[112].text |
所提出來的提案呢是針對是因為配合公路法同步修正的汽車燃料使用費這一部分我們贊同並建議著作文字的修正那另外修正條文第32條第38條的修正案考量現行相關法規針對電動汽車停放於電動汽車專用停車 |
transcript.whisperx[113].start |
5074.064 |
transcript.whisperx[113].end |
5092.717 |
transcript.whisperx[113].text |
電動汽車充電專用停車位為充電的一個情形然後電動汽車充電專用停車位設置的比例或者是充電設備設置皆有對應的一個處理的一個方式所以本部也建議是否可以維持現行的條文那以上我請就 |
transcript.whisperx[114].start |
5093.918 |
transcript.whisperx[114].end |
5121.993 |
transcript.whisperx[114].text |
委員所提出來的相關的意見摘要的做一些說明那接下來呢我就請我們的部裡頭公共運輸司公共運輸及監理司的林司長跟陸正道安司的黃司長分別就公路法的修正跟停車法的修正來向各委員做進一步詳細的說明那再次的感謝各位人的關心及指教謝謝好謝謝我們陳政事那個兩位兩位司長稍等一下因為剛剛啊 |
transcript.whisperx[115].start |
5123.174 |
transcript.whisperx[115].end |
5136.773 |
transcript.whisperx[115].text |
我們廖先祥委員有停車場罰的32條他還沒有提案說明 容許他先來說明那這點跟廖委員抱歉 沒有注意到 謝謝 |
transcript.whisperx[116].start |
5144.853 |
transcript.whisperx[116].end |
5152.721 |
transcript.whisperx[116].text |
好 謝謝主席在停車場法裡面有規定有幾種樣態是有專屬車格的嘛一個是身心障礙一個是孕婦及六歲以下兒童那就是近幾年因應電動車的心情有一個電動車專用充電的一個車格但前面兩者的它是一個資格就是說如果說我們有這個相關排面的話我們就可以去停但是停車場 |
transcript.whisperx[117].start |
5167.935 |
transcript.whisperx[117].end |
5172.32 |
transcript.whisperx[117].text |
電動車的樣態有點不一樣他不是資格我們就我們的規定他必須要充電適時他才能停並不是說我的電動車就可以停在充電車格那所以說依照我們現在的法令就算是電動車停在充電車格他沒有充電他一樣是有相關的罰則是去可以做懲處那這個跟前面兩則是不太一樣的那他 |
transcript.whisperx[118].start |
5190.459 |
transcript.whisperx[118].end |
5198.523 |
transcript.whisperx[118].text |
既然是一個狀態的話也代表說他的這個車格有一個不可替代性也就是說如果說我們是一個六歲以下孩童或者是孕婦的話我們畫這個車格可能就是給他方便鄰近出入口讓他行走距離更短但是實際上他就算沒有停在這些車格他停在其他車格他一樣還是可以停 |
transcript.whisperx[119].start |
5210.609 |
transcript.whisperx[119].end |
5219.477 |
transcript.whisperx[119].text |
或者是身心障礙車格當然身心障礙車格有一些他需要比較寬的空間他必須要在身心障礙車格停那有一些其他車格或許他也是能夠上下車但是針對電動車主來講的話如果說他要充電的話他唯一的選擇就是在充電車格而已其他的一般的車格他是沒有辦法他是沒有辦法 |
transcript.whisperx[120].start |
5228.164 |
transcript.whisperx[120].end |
5241.6 |
transcript.whisperx[120].text |
它可以停放但它就沒有辦法充電它沒有辦法有充電的一個狀態所以說它是有一個不可替代性前面兩者它是有替代性的充電的車格它是有不可替代性的那既然它是有不可替代性的話所以說我們的法規才有規定有修過法就是必須要有充電狀態的話 |
transcript.whisperx[121].start |
5246.946 |
transcript.whisperx[121].end |
5252.448 |
transcript.whisperx[121].text |
那才能夠符合使用的一個有充電動態才能夠使用嘛並不是電動車就可以停所以這次我才提出這個法令的修改就是除了既有的罰則之外我們也要求停車場業者針對沒有充電的一個車輛停放的話必須可能他要通報或者是 |
transcript.whisperx[122].start |
5265.934 |
transcript.whisperx[122].end |
5276.14 |
transcript.whisperx[122].text |
有一致的權利通報警方一致的權利那充電有沒有在充電狀態這個我看過業務單位的提案說明有時候他確實有一些夜間的問題你說現在的電動車的電池容量或許他可能充到半夜就滿了那如果說你真的馬上叫他一致確實有點不符合人情或者是這個 |
transcript.whisperx[123].start |
5290.347 |
transcript.whisperx[123].end |
5312.878 |
transcript.whisperx[123].text |
你有時候不一定是車主的問題有時候是電動充電狀態的問題有時候或者是我們很難去判斷他的狀態是不是充飽電了有時候這個每一個人每一家的這個設備不一樣或者是設備有沒有故障怎麼樣他有時候很難釐清所以說當然我不是說我的法案不一定說一定要按照我的條文來修改但是至少至少我們停在充電車格如果沒有 |
transcript.whisperx[124].start |
5313.618 |
transcript.whisperx[124].end |
5335.417 |
transcript.whisperx[124].text |
把充電線連接到車子這樣子的一個樣態的話他連充電的動機都沒有的話那我希望他有一個更為強烈的一個處置的方式來給業者或者是執法機關以上 謝謝謝謝廖先祥委員的提案說明那現在是請兩位市長那個林林二三市長 |
transcript.whisperx[125].start |
5344.174 |
transcript.whisperx[125].end |
5360.99 |
transcript.whisperx[125].text |
主席 各位委員 各位女士先生今天應邀列席各位委員會就委員會審查臺灣民眾黨團及林委員俊憲陳委員冠廷 徐委員富奎 馬委員文君邱委員若髮 何委員辛存 王委員逸川等相關委員凝聚公務法第27條 第28條 第32條 第33條 第39條之一 |
transcript.whisperx[126].start |
5366.275 |
transcript.whisperx[126].end |
5382.611 |
transcript.whisperx[126].text |
第46條第60條之一第65條第72條第75條等共10項修正提案提出交通部處理建議供貴委員會這個產產那首先有關於林委員郡縣提案修正公路法第27條第28條第75條修正汽車燃料使用費名稱 |
transcript.whisperx[127].start |
5387.575 |
transcript.whisperx[127].end |
5410.622 |
transcript.whisperx[127].text |
及納入非使用燃料車輛資徵收費率由交通部令匯商財政部訂資那針對這個部分有關於既然汽車燃料使用費的名稱那委員提案建議修正為公路養護修建及安全管理費基於公路法第27條徵收目的本部建議可考量修正為公路使用養護管理費 |
transcript.whisperx[128].start |
5412.915 |
transcript.whisperx[128].end |
5439.667 |
transcript.whisperx[128].text |
那另外有關於委員提案因應新能源車輛發展趨勢未來均應徵收原新增第三項非使用燃料車輛之費率由交通部會商財政部訂定之那這個部分跟這個交通部已經請運輸研究所通盤檢討汽車燃料使用費徵收及分配辦法的規範方向一致那本部尊重貴委員會審查的一個結果 |
transcript.whisperx[129].start |
5440.367 |
transcript.whisperx[129].end |
5462.777 |
transcript.whisperx[129].text |
那有關城務委員冠廷徐委員富奎等提案修正公路法第32條建議陣列行道樹花木植栽工程應以原生樹種為優先政府頒布的公路景觀設計規範已有規定新植設計選種已以原生或鄉土樹種為主並減少外來 |
transcript.whisperx[130].start |
5465.718 |
transcript.whisperx[130].end |
5487.354 |
transcript.whisperx[130].text |
陸清總與委員提案內容相同那另外在水土保持部分也已經納入公路排水技術規範中執行故委員提案修正內容與現行公路相關規範方向一致本部尊重貴委員會審查結果陳委員冠廷提案修正公路法第33條建議增訂公路設計相關規範應落實符合通行車種之軌跡驗證 |
transcript.whisperx[131].start |
5493.98 |
transcript.whisperx[131].end |
5517.054 |
transcript.whisperx[131].text |
交通部公路設計路線規範第一章有關設計車種與最小轉向軌跡中已將各設計車種與其最小轉向軌跡分轉向角度數值各有不同在路線設計時都需要依照此規定進行路口轉彎半徑檢核那實質已經涵蓋委員提案的意旨 |
transcript.whisperx[132].start |
5517.975 |
transcript.whisperx[132].end |
5533.925 |
transcript.whisperx[132].text |
另外考量第三十三條是寒瓜設計施工養護全生命階段並非單就路線設計部分且相應的規範以要求軌跡驗證檢核所以這一條的部分也建議維持現行條文 |
transcript.whisperx[133].start |
5535.726 |
transcript.whisperx[133].end |
5564.745 |
transcript.whisperx[133].text |
有關台灣民眾黨團馬委員文君 邱委員洛華等提案修正公務法第39條之一建議通用計程車不受現有計程車牌照發放原則限制那依據39條之一第一項規定計程車牌照是依據地方人口及使用道路面積成長比例來發放各公務主管機關本可依全者省著轄管的地區人口成長及交通運輸供需情形決定是否增發 |
transcript.whisperx[134].start |
5567.547 |
transcript.whisperx[134].end |
5590.395 |
transcript.whisperx[134].text |
目前在通用計程車是由車隊招募有意願服務的駕駛來參與是依照既有制度透過車行或合作社辦理車輛領排並未受限那如果僅針對通用計程車方寬限行牌照發放這個原則恐將衍生計程車數量過度成長造成計程車市場供過於求 |
transcript.whisperx[135].start |
5591.255 |
transcript.whisperx[135].end |
5617.634 |
transcript.whisperx[135].text |
那為立計程車牌照數量的一個調控那交通部也在108年10月1號修正汽車運輸管理規則不同縣市計程車業者可透過兩地計程車公會報監雙方公路主管機關同意後可進行跨行政區域過戶那目前已經有台中市彰化縣新竹縣市等8個縣市透過機制互相調供計程車的車耳調配所以建議維持現行的條文 |
transcript.whisperx[136].start |
5619.355 |
transcript.whisperx[136].end |
5630.142 |
transcript.whisperx[136].text |
有關何委員心存等提案修正公務法第46條第60條之一建議將交通事故受害者方申請汽車運輸業車輛暫不予過戶繳銷調整為公務主管機關主動通知與增訂公務主管機關 |
transcript.whisperx[137].start |
5635.985 |
transcript.whisperx[137].end |
5650.747 |
transcript.whisperx[137].text |
未修建或養護公路及其設施安全派員進入公司有土地內應將送達文書以雙括號發送那在有關於46條部分現行規定公路主管機關得應受害 |
transcript.whisperx[138].start |
5651.508 |
transcript.whisperx[138].end |
5665.561 |
transcript.whisperx[138].text |
者本能或其配偶親屬檢據警察機關相關證明文件之申請至交通事故發生日期兩個月內暫不予核准該業者登記名義全部或部分車輛過戶繳銷牌照 |
transcript.whisperx[139].start |
5667.563 |
transcript.whisperx[139].end |
5684.358 |
transcript.whisperx[139].text |
那如果改由公務建立機關主動告知受害者本人或其配偶親屬需於兩個月內取得相關應通知人之聯繫這一個方式若在此期間內無法取得聯繫不上 |
transcript.whisperx[140].start |
5686.319 |
transcript.whisperx[140].end |
5714.439 |
transcript.whisperx[140].text |
或應通知人這個有所遺漏等都將損及這個家屬的權益所以建議這條修正可能必須再做一個酌量那另外一個部分的話其實現行實務上公務監理機關如果與發生這個交通事故之後如果知道這個受害者或其配偶親屬之聯繫方式均會主動告知即可依本條規定來申請這個禁止過誤或繳交牌照以立後續的一個這個球場 |
transcript.whisperx[141].start |
5715.62 |
transcript.whisperx[141].end |
5737.527 |
transcript.whisperx[141].text |
那考量這個主動告知作業有其不確定性為這個避免行政機關與受害者後面衍生相關責任的一個這個正義本條建議維持現行條文那有關60條之一的部分本次委員提案修正公路主管機關因修建養護需要進入公私有土地之通知規定系參照行政程序法 |
transcript.whisperx[142].start |
5737.987 |
transcript.whisperx[142].end |
5754.649 |
transcript.whisperx[142].text |
民事訴訟法及行政訴訟法相關規定尚無自愛難省之處本部尊重委員會審查的一個結果有關王偉仁一川提案修正公務法第65條建議增訂公共運輸業者強制投保第三能責任刑部分 |
transcript.whisperx[143].start |
5755.35 |
transcript.whisperx[143].end |
5778.458 |
transcript.whisperx[143].text |
有關第三人責任險主要是針對被保險人因這個保險人也就是這個客運業者因所有這個汽車發生交通事故至第三人死亡體傷或財務這個受損害時依法應付賠償責任而受賠償請求時有保險公司對保險人負擔賠償之責 |
transcript.whisperx[144].start |
5779.938 |
transcript.whisperx[144].end |
5802.925 |
transcript.whisperx[144].text |
而現行公務法以規範客運業者應投保汽車承認強制責任保險及這個旅客責任險至於現行屬物屬於財務損害賠償及任意險之第三人責任險部分較屬公司治理之風險分擔範疇建議可由業者基於經營管理需求投保任意第三人責任險來分擔風險原本條也建議維持現行條文那 |
transcript.whisperx[145].start |
5808.787 |
transcript.whisperx[145].end |
5825.514 |
transcript.whisperx[145].text |
最後有關於林委員進縣等提案修正公路法第72條建議增列管縣機構設置之能鎖孔蓋與路面齊平標準與法則明定施工機關構有回覆挖掘路面平整責任 |
transcript.whisperx[146].start |
5826.674 |
transcript.whisperx[146].end |
5846.636 |
transcript.whisperx[146].text |
並要求管縣機構應主動維護深挖路面之設施經查本次委員提案修正的條文之前在109年12月7日交通委員會會議有審查這一個通過那上涉及這個管縣機構需配合辦理的一個這個事項 |
transcript.whisperx[147].start |
5847.757 |
transcript.whisperx[147].end |
5867.092 |
transcript.whisperx[147].text |
那針對這一條本部尊重委員會審查的一個結果那中上說明僅針對委員相關提案僅提供本部處理建議意見敬請各位委員參考 謝謝好 謝謝林市長那現在黃應貴市長時間掌控一下好不好 |
transcript.whisperx[148].start |
5874.461 |
transcript.whisperx[148].end |
5889.096 |
transcript.whisperx[148].text |
主席 各位委員 各位女士 各位先生請就相關委員黨團提案修正重點及本部的建議處理意見做說明有關林委員 俊憲等提案修正停車場法第四條建議將第一項 |
transcript.whisperx[149].start |
5889.997 |
transcript.whisperx[149].end |
5903.795 |
transcript.whisperx[149].text |
第三款汽車燃料使用費更名為公路養父修建及安全管理費我們會配合公路法審議的結果同步做修正有關廖委員先詳等提案修正停車場法第32條增列電動汽車以電動汽車充電裝 |
transcript.whisperx[150].start |
5908.1 |
transcript.whisperx[150].end |
5908.12 |
transcript.whisperx[150].text |
電動汽車專業 |
transcript.whisperx[151].start |
5925.001 |
transcript.whisperx[151].end |
5929.225 |
transcript.whisperx[151].text |
充電專用停車位是充電專用之性質故電動汽車停放於電動汽車充電專用停車位為充電者本級屬違規占用之行為現行停車長法第32條及第4條之一已有針對違規占用電動汽車 |
transcript.whisperx[152].start |
5943.959 |
transcript.whisperx[152].end |
5967.17 |
transcript.whisperx[152].text |
充電專用停車位之情形定有罰則另考量實務上駕駛人較難以充電完成後立即將車輛駛離電動汽車充電專用停車位及其充電設施設置管理辦法第九條第一項亦授權地方主管機關公告電動汽車充電專用停車位使用規定及充電 |
transcript.whisperx[153].start |
5968.33 |
transcript.whisperx[153].end |
5989.715 |
transcript.whisperx[153].text |
停車使用時間的限制避免充電專用停車位遭長時間佔用並兼顧實務充電專用停車位的使用彈性中上本部建議維持現行條文有關台灣民眾黨黨團提案修正停車場法第38條建議甄列違反第27條之一電動汽車充電專用停車位設置比例與充電設備設置之規定 |
transcript.whisperx[154].start |
5995.536 |
transcript.whisperx[154].end |
5998.438 |
transcript.whisperx[154].text |
有關電動汽車充電專用停車位設置比例相關的處罰部分經查充電車位辦法第4條定有 |
transcript.whisperx[155].start |
6018.208 |
transcript.whisperx[155].end |
6031.726 |
transcript.whisperx[155].text |
路外公共停車場電動汽車充電專用停車位之設置期限因此當停車場經營業未依規定期限設置完成地方主管機關得不已和換發停車場登記證 |
transcript.whisperx[156].start |
6035.307 |
transcript.whisperx[156].end |
6048.441 |
transcript.whisperx[156].text |
充電車位辦法第五條規定電動汽車充電專用停車位充電設施之設備介面及配件均應符合國家標準其設置應依電業法電氣承攬業管理規則用戶用電設備裝置規則各類場所消防安全設備設置標準等相關規定辦理說明如下 |
transcript.whisperx[157].start |
6058.951 |
transcript.whisperx[157].end |
6077.096 |
transcript.whisperx[157].text |
電動車輛充電設施經公告為應實施檢驗商品範圍者應依商品檢驗法相關規定辦理商品檢驗使得裝置已使用若屬志願性產品驗證者台電公司已於新增設用戶用電設備檢驗要點中規定新增設電動車輛充電設備裝設完略後亦需檢附經濟部標準檢驗局志願性產品驗證證書 |
transcript.whisperx[158].start |
6089.28 |
transcript.whisperx[158].end |
6107.306 |
transcript.whisperx[158].text |
現場檢驗不合格者未以期限內完成改善,得停止供電或拒絕接電。應定義法第32條、消防法第6條及第37條等規定,已有針對停車場設置充電設施之用電及消防安全,定有相關的罰則及處置方式。 |
transcript.whisperx[159].start |
6108.326 |
transcript.whisperx[159].end |
6126.761 |
transcript.whisperx[159].text |
行車場經營業躺位旅行前階充電車位辦法明定應遵行之事項地方主管機關亦得依行政執行法第30條第31條規定處新台幣5000元以上30萬元以下之貸金並得連續處以貸金中上考量有關 |
transcript.whisperx[160].start |
6127.681 |
transcript.whisperx[160].end |
6144.02 |
transcript.whisperx[160].text |
電動汽車充電專用停車位設置比例與充電被設置之規定皆有對應之處置方式本部建議維持現行條文中上說明針對相關委員及黨團之提案僅提供本部建議處理意見敬請各委員參採謝謝 |
transcript.whisperx[161].start |
6147.831 |
transcript.whisperx[161].end |
6162.848 |
transcript.whisperx[161].text |
謝謝黃師長其他機關所送的書面報告列入記錄刊登公報現在我們進行詢打先宣告以上事項詢打時間初席委員6分鐘 內席委員4分鐘 |
transcript.whisperx[162].start |
6167.031 |
transcript.whisperx[162].end |
6193.157 |
transcript.whisperx[162].text |
委員登記花園時間10點30分截止各委員如果有臨時提案請以10點半前提出以便藝術人員會診暫時暫定11點11點休息10分鐘中午原則性不休息現在請登記第一位的洪孟楷委員花園 |
transcript.whisperx[163].start |
6200.95 |
transcript.whisperx[163].end |
6219.309 |
transcript.whisperx[163].text |
好 主席謝謝 麻煩請我們次長好 陳次長好 陳次長委員好幾個交通專業的部分也是國人所關心的政策的轉彎我想也要跟你再就教一下 來 |
transcript.whisperx[164].start |
6220.874 |
transcript.whisperx[164].end |
6233.821 |
transcript.whisperx[164].text |
去年我們就一直在討論是說我們客運業相關的駕駛能力短缺的部分而當時國發會說召集相關單位有講出一個是能夠開放僑生畢業僑生來擔任 |
transcript.whisperx[165].start |
6236.127 |
transcript.whisperx[165].end |
6264.802 |
transcript.whisperx[165].text |
我們的客運駕駛對不對也已經從去年9月30號今年的專案報告甚至專案報告當時在交通委員會本席也有質詢過有提到說會有配套會有跟跨部會溝通並且要求我們安全包括語言能力考證照不會放水等等都有講籌備了快一年時間嘛結果突然間本來預告說4月底要上路然後結果說 |
transcript.whisperx[166].start |
6266.332 |
transcript.whisperx[166].end |
6294.03 |
transcript.whisperx[166].text |
臨時喊咖對 我也就我們的了解是因為講得還那麼理所當然不是 就是不是喊咖啦就是說我們的了解是預告的時候就是我們相關法案在政策在施作的時候都會有相關的法令的預告那預告期間呢因為各界有不同的建議的意見各界的不同建議的聲音不是應該是去年9月30號你們提出來的時候市長 |
transcript.whisperx[167].start |
6294.91 |
transcript.whisperx[167].end |
6316.791 |
transcript.whisperx[167].text |
因為之前有部長也有來答詢過也有我們相關部會的同仁來答詢過當時本席也針對這樣的一個問題來請教本席那時候講的是說什麼是說即便是開放但是我們很多國內的大型車駕照的人數其實比駕駛人還要多換言之並不是說沒有人去考駕照 |
transcript.whisperx[168].start |
6317.352 |
transcript.whisperx[168].end |
6335.685 |
transcript.whisperx[168].text |
而是大家不一定願意拿到駕照的時候去當駕駛那時候你們提出來的解方是說沒關係我們開放畢業僑生講了一年耶而且那個時候煞有其事又講是說語言能力考證照不會放水然後還要有一年的配套跨部會都溝通好了結果現在突然喊咖 |
transcript.whisperx[169].start |
6336.738 |
transcript.whisperx[169].end |
6349.813 |
transcript.whisperx[169].text |
那這樣不就是過去這一年的時間客運業大概也在等是說可以有新的活水進來結果完全沒有來 我就這樣請教是就喊咖了還是後續會推動還是有什麼配套措施 |
transcript.whisperx[170].start |
6351.485 |
transcript.whisperx[170].end |
6372.987 |
transcript.whisperx[170].text |
我跟委員報告後續不是喊卡啦就是後續我們因為有相關的配套措施所以公路局會跟客運全聯會等等在就相關的議題我看到的新聞講是說勞動部那邊因為修法預告然後所以說就是有疑慮暫停有沒有跟我們公路局溝通 |
transcript.whisperx[171].start |
6374.088 |
transcript.whisperx[171].end |
6402.643 |
transcript.whisperx[171].text |
有 勞動部因為他預告的時候代表說之前交通部推出這個相關法例的時候沒有先跟勞動部溝通好跟我有報告因為法規預告是收集社會各界的意見所以社會各界的意見就是說大家提出來以後是送到預告法規的這個主管機關勞動部那勞動部就是說因為有提出來就是社會各界有一些提到就是他擔任這個客運或貨運的駕駛的話在語言上面是不是還有一些其他的一個 |
transcript.whisperx[172].start |
6403.203 |
transcript.whisperx[172].end |
6425.658 |
transcript.whisperx[172].text |
你要不要看一下我們半年前專案報告時候我們好幾個委員關心就關心到這一題嘛大家都認為是說語言可能會有問題結果你們專案報告裡面講都沒有你們專案報告裡面特別講語言能力一定會要求結果現在反而用這個來當理由我覺得這樣子是很噁心耶 |
transcript.whisperx[173].start |
6429.011 |
transcript.whisperx[173].end |
6443.539 |
transcript.whisperx[173].text |
來市長再說明一下是語言的能力是很重要所以他們當然很重要啊現在他們會進一步的跟相關的客運業者如何落實把這樣的一個事情變成然後再招聘的再僱傭的時候不是來我們是不是簡單說明一下未來會怎麼做 |
transcript.whisperx[174].start |
6448.752 |
transcript.whisperx[174].end |
6452.436 |
transcript.whisperx[174].text |
目前科育業者未來聘僱僑外生擔任駕駛本來僑外生在國內受教育是基本的語言能力未來我們對於相關擔任客運駕駛上面包括語言能力的一些基本門檻 |
transcript.whisperx[175].start |
6473.036 |
transcript.whisperx[175].end |
6487.503 |
transcript.whisperx[175].text |
或者是還有經過相關的這個業者的一個訓練這個部分我們會跟科業業者再來討論然後訂定相關的一個配套措施再送給勞動部局長現在是勞動部喊卡欸 局長不能說你們 |
transcript.whisperx[176].start |
6489.521 |
transcript.whisperx[176].end |
6508.613 |
transcript.whisperx[176].text |
這個重點非常重要停車場我等一下也會問但我說現在我看到的這一個部分其實是讓大家覺得是說你們政府完全沒有橫向聯繫講了大半年的政策結果突然間又喊咔會讓民眾無所適從也會讓客運業者覺得說莫名其妙你好像是朝三暮四 |
transcript.whisperx[177].start |
6509.534 |
transcript.whisperx[177].end |
6534.683 |
transcript.whisperx[177].text |
之前先跟大家講說有有有開放了然後結果突然間就喊卡這一些不都是應該是你們一開始推出政策的時候就應該考慮到又應該評估到的地方嗎勞動部有問題結果你現在這還講是說是要跟客運業者溝通今天是客運業者不想要開放嗎不是啊那怎麼會你們現在講是說要去跟客運業者溝通然後勞動部那邊怎麼解決市長是不是應該找勞動部兩個部會來討論 |
transcript.whisperx[178].start |
6539.145 |
transcript.whisperx[178].end |
6557.312 |
transcript.whisperx[178].text |
這一部分我們一定會跟勞動部來討論的照理講這個政策要上路前就應該也要討論 這邊也要討論只是法規預告了以後各界有不同的建議界以後市長我比較具體是不是一個月內交通部找勞動部針對這個部分看能夠怎麼樣補正修正 |
transcript.whisperx[179].start |
6559.153 |
transcript.whisperx[179].end |
6584.73 |
transcript.whisperx[179].text |
來 因為我看到部長的講法交通部陳部長的講法是說還是希望能夠開放是 是 這政策是我們是朝這個方向所以是不是應該要主動找勞動部溝通這沒問題 我們則由公務局跟勞動部來溝通幫個忙 真的政策不是倉促丟出來然後各自橫向聯繫完全沒有在這件事情上面我覺得橫向聯繫是非常糟糕的一件事來 再來 |
transcript.whisperx[180].start |
6586.363 |
transcript.whisperx[180].end |
6606.028 |
transcript.whisperx[180].text |
格勒子透光率我覺得這已經是討論很久了最近有講到說我們要調整格勒子的透光率但是居然講一個是說只管新車不管舊車那如果說大家新車領牌我領牌一個月之後我再去裝那算是新車還舊車 |
transcript.whisperx[181].start |
6609.704 |
transcript.whisperx[181].end |
6624.197 |
transcript.whisperx[181].text |
我買一個新車然後我現在都是沒有貼隔熱紙我一個月之後我跟業務講好一個月之後你再幫我裝我先給監理站看一下我沒有貼一個月後裝裝了之後我不管了 |
transcript.whisperx[182].start |
6625.496 |
transcript.whisperx[182].end |
6652.741 |
transcript.whisperx[182].text |
這樣不是做半套嗎我跟委員報告我們講的新車是說某一年開始的車輛不是不是你講不是剛才委員的意思是說那以前的車以前的車都不管我們以前的車輛我們會有相關的一個指引會把相關的一個但目前看起來你們在新聞上也好或是打詢上也好其實都沒有講到舊車的部分來幾個國家美國透光率要求各州不一樣從20幾%到80幾% |
transcript.whisperx[183].start |
6655.973 |
transcript.whisperx[183].end |
6663.84 |
transcript.whisperx[183].text |
日本要求70%以上德國更是全面禁止前黨裝格勒子 |
transcript.whisperx[184].start |
6665.052 |
transcript.whisperx[184].end |
6693.442 |
transcript.whisperx[184].text |
換言之其實世界各國也都有看到是說前檔格勒子的部分有一些是駕駛的安全 視線有一些是外在看裡面譬如說像美國有一些州就認為是說他怕可能駕駛裡面看不清楚所以執法人員會比較擔心也因此他要求前檔的那個透光率一定到一定的比例那我們現在只有70%但是沒有任何的強制性甚至我們沒有做相關的一個儀器來做檢驗 |
transcript.whisperx[185].start |
6694.656 |
transcript.whisperx[185].end |
6697.272 |
transcript.whisperx[185].text |
那還有就是救車的部分 你都說只有指引 |
transcript.whisperx[186].start |
6698.988 |
transcript.whisperx[186].end |
6728.277 |
transcript.whisperx[186].text |
很多的民眾團體其實也認為是說我們站在不管是安全道路的安全行人的安全駕駛的安全都應該要入法或是規範市長您怎麼看我簡單跟委員說明一下有關那個隔熱紙的一個使用它當然跟安全是有關的所以公務局在相關的以往的研究也好那剛才委員也特別提到各國其實對隔熱紙的規定的這樣的一個標準其實也是不一 |
transcript.whisperx[187].start |
6728.837 |
transcript.whisperx[187].end |
6758.177 |
transcript.whisperx[187].text |
那考量整個我們國家的一個情形然後整個安全的一個重視的一個程度所以目前這個公務局他是還是有規範相關的一個前檔跟側檔的側窗的一個相關的透光率的一個標準那另外對於新車也好或者是使用的中的車輛也好現在都有相關的一個有好幾個委員已經有質詢過現在問題就是你們有規範但是沒有法則或沒有落實 |
transcript.whisperx[188].start |
6759.397 |
transcript.whisperx[188].end |
6781.822 |
transcript.whisperx[188].text |
這才是大家會認為是說你這樣子的規範是不一定規範會有用我們現在的相關的一個規範委員大家應該也了解我們大概六月的時候會有一個相關的一個指引會出來那明年開始呢會對新車剛才特別提到的新車的相關的要求那新車的要求以後他如果不符合相關的規定當然就會有相關的一個處罰這是 |
transcript.whisperx[189].start |
6783.562 |
transcript.whisperx[189].end |
6796.172 |
transcript.whisperx[189].text |
所以還是會有納入法規其實真的還是建議因為現在都還是在研擬階段對不對是六月會公告對不對所以說針對說台灣的交通是不是應該要更一體適用不管是新車舊車如果說相關的規範最後 |
transcript.whisperx[190].start |
6800.094 |
transcript.whisperx[190].end |
6819.802 |
transcript.whisperx[190].text |
不好意思一分鐘的部分我覺得說電動車這個停車場的部分我還是希望能夠來了解一下那當然跟我們今天相關的修法也有相關聯不過本席有看到另外一個民怨的部分來我們看一下停車場現在因為多元支付也有一點點混淆 |
transcript.whisperx[191].start |
6821.118 |
transcript.whisperx[191].end |
6848.116 |
transcript.whisperx[191].text |
一個是說他有這個停車場他採全電子化沒有現金那民眾說要進去停車結果出來之後反而他沒有相關的多元支付結果他變成是說要出來很麻煩那再來也有有些停車場是他明明是有多元支付但是壞掉了或說他就是一直顯示故障中所以他只能收現金那次長 |
transcript.whisperx[192].start |
6851.567 |
transcript.whisperx[192].end |
6877.942 |
transcript.whisperx[192].text |
我覺得停車的部分也是民眾每天幾乎都需要停車那我們有看到 當然可能我們交通部會長是說這個相關收費以及什麼可能會有其他的主管機關但是畢竟停車場中央主管機關是我們交通部那有沒有一個比較一致性的方式至少讓停車業者以及讓民眾能夠取得一個平衡在這樣的事情不要說發生說二則一然後讓民眾產生其他的民怨 |
transcript.whisperx[193].start |
6879.119 |
transcript.whisperx[193].end |
6885.065 |
transcript.whisperx[193].text |
有沒有看到這樣的狀況我想跟委員報告這分兩個其實這個支付從這一張來看我們其實是多多鼓勵這個停車場是要多元支付所以多元支付有包含各種支付的方式那這裡頭提到的是說原來是一個每億的多元支付因為機器故障然後產生某種方式沒辦法處理 |
transcript.whisperx[194].start |
6902.222 |
transcript.whisperx[194].end |
6920.4 |
transcript.whisperx[194].text |
所以這部分我想我們會跟澤成這個地方主管機關就加強這樣的一個督導還有這個相關的停車設施的一個妥善率我們現在的停車場管理辦法一分鐘停車場管理辦法裡面我們有沒有相關規定一定要有什麼樣的支付方式 |
transcript.whisperx[195].start |
6921.261 |
transcript.whisperx[195].end |
6939.299 |
transcript.whisperx[195].text |
目前是沒有 是所以說才會變成到這樣的情況因為我記得我國的法令有規定就是如果說我們用相關的這個新台幣支付你接收者不能拒絕譬如說有些時候有些民眾他拿一百個一塊要去付一百塊 |
transcript.whisperx[196].start |
6940.08 |
transcript.whisperx[196].end |
6968.915 |
transcript.whisperx[196].text |
但是接收者他也是要接收嘛對不對這個是現金的流通的一個我們互信原則跟一個公平信嘛那剛剛看到這兩個新聞其實這就是本席之前也有接收到民眾的一個陳情一個是他不能擠付現金只能用電子支付一個是只有付現金沒有電子支付那對我們中央組織機關裡面是不是能夠有更統一的辦法至少有一個支付方式是所有地方都可以使用的 |
transcript.whisperx[197].start |
6971.494 |
transcript.whisperx[197].end |
6995.954 |
transcript.whisperx[197].text |
以前大家可能會覺得是現金現金支付的方式我想是必然是基本的啦那委員剛剛特別提到的有很多尤其是人力的一個節省所以很多像這種收費方式是無人採用機器所以如何確保機器的這個正常使用我想這部分我們會請地方政府或者是如果說有一些是多元支付但是他至少 |
transcript.whisperx[198].start |
6996.595 |
transcript.whisperx[198].end |
6999.841 |
transcript.whisperx[198].text |
業者提供一個電話還是什麼能夠讓民眾在現場來協助做引導不要發聲上夜 |
transcript.whisperx[199].start |
7005.1 |
transcript.whisperx[199].end |
7028.892 |
transcript.whisperx[199].text |
不要發生就說車停進去但是車出不來的狀況我想這才是我們所關心的重點是這一部分我的了解很像這個都會有一個類似像按鈕或電話可以有一個人來通知服務那這部分如果沒有的話我想我們會也是一樣我們每一年大概都會停車場都有督導那在這部分的時候我們來加強要求加強落實好不好是是是謝謝是 |
transcript.whisperx[200].start |
7030.702 |
transcript.whisperx[200].end |
7035.329 |
transcript.whisperx[200].text |
好 謝謝洪孟愷委員現在請李坤澤委員執行 |
transcript.whisperx[201].start |
7048.08 |
transcript.whisperx[201].end |
7054.327 |
transcript.whisperx[201].text |
謝謝趙委 請一下陳彥博次長 陳文瑞局長 林福山市長 黃英貴市長 趙新華局長交通系統裡面最強的公路的五個人 |
transcript.whisperx[202].start |
7067.213 |
transcript.whisperx[202].end |
7084.26 |
transcript.whisperx[202].text |
好那個市長我們來討論一下有關於氣燃費相關的議題包括他的證明以及如何建立一個公平穩定的收費機制那目前氣燃費的收費的狀況當然是依照公路法第27條 |
transcript.whisperx[203].start |
7085.521 |
transcript.whisperx[203].end |
7111.995 |
transcript.whisperx[203].text |
就是公路的主管機關因為我們的道路公路必須要養護修建以及安全管理所以來徵收汽車燃料使用費那目前的徵收的方式現行的方式是隨車徵收就按照車輛的CC數每年徵收大概是500億左右那汽燃費的分配當然是中央地方還有國道基金那我們來看 |
transcript.whisperx[204].start |
7113.175 |
transcript.whisperx[204].end |
7135.336 |
transcript.whisperx[204].text |
棄燃費啊他的徵收以及分配的辦法第4條他有很多各款的車輛是免徵棄燃費包括電動汽車不過我們在這邊也要注意市長我們的電動車的比例是越來越高那我記得在2018年的時候我們的這個 |
transcript.whisperx[205].start |
7137.765 |
transcript.whisperx[205].end |
7142.434 |
transcript.whisperx[205].text |
油車大概是2155萬輛就汽機車加起來那時候的這個電動車大概20萬輛但到今年的3月 |
transcript.whisperx[206].start |
7151.465 |
transcript.whisperx[206].end |
7159.032 |
transcript.whisperx[206].text |
我們的相關的燃油汽車大概是2191萬輛但是從2018到2023年的3月我們的電動車已經從22萬輛20萬輛現在提升到88萬輛提升的比例已經看得出來 |
transcript.whisperx[207].start |
7173.726 |
transcript.whisperx[207].end |
7198.297 |
transcript.whisperx[207].text |
那我們棄燃費它使用的本質就是在於道路的養護修建跟安全管理那我們有三個重點我們討論棄燃費都是要以道路為主體那這三個重點就是說我們要確保這些養護修建管理的費用必須要充足而且徵收的對象是要以實際使用道路的路用車 |
transcript.whisperx[208].start |
7199.497 |
transcript.whisperx[208].end |
7216.961 |
transcript.whisperx[208].text |
第三 收費應該要具有公平性那我們現在來討論一下相關的不管是隨車徵收 水油徵收 或者是水里程徵收各有它的優缺點那我請教一下 我們現在目前是隨車徵收隨車徵收是按照CC數計算它的優點是什麼 來 次長說明一下 |
transcript.whisperx[209].start |
7220.562 |
transcript.whisperx[209].end |
7241.754 |
transcript.whisperx[209].text |
我想現行的一個制度其實是因為它比較雖然它是比較簡單的一個徵收的一個方式但是因為它強調吸吸術或是車種所以相關的一個民眾的認知上也比較容易能夠接受所以現在是採用這種方式在徵收它的優點應該就是它的這個 |
transcript.whisperx[210].start |
7244.435 |
transcript.whisperx[210].end |
7263.948 |
transcript.whisperx[210].text |
費用的來源比較穩定而且可以確保目前道路維護相關的管理的一個需求其實它的缺點是在於公平問題它不容易反映車輛實際使用道路的這樣一個狀況這是它的缺點所以吳征說你認為它的優點是什麼 |
transcript.whisperx[211].start |
7266.119 |
transcript.whisperx[211].end |
7289.504 |
transcript.whisperx[211].text |
水油徵收當然就是剛好就是剛才委員講到的水油徵收是用多少走在道路上使用多少油它就徵收多少但是這樣的一個方式它比較能反映這些車輛實際使用道路的狀況而且它的機械方式也比較簡單但它的缺點呢另外一塊就是有些是用油 |
transcript.whisperx[212].start |
7290.684 |
transcript.whisperx[212].end |
7314.725 |
transcript.whisperx[212].text |
不用入 像那個工業用油啦 或者是有些人是提這個桶子去加油 但是他加了油他可能是變成是小型的工程要用的所以像這種還有另外一個是徵收的上的 因為我們所有的用油像這種都是在當時就徵收了如果像剛才講的這個用油不用入的 那產生以後要退退這個錢 都會產生相關的一個困擾 |
transcript.whisperx[213].start |
7315.365 |
transcript.whisperx[213].end |
7326.713 |
transcript.whisperx[213].text |
當然水有真實化它是能夠反映這個實際道路的使用情形而且機會的處理方式也比較簡單不過它的缺點當然是現在車輛的技術提升 |
transcript.whisperx[214].start |
7330.555 |
transcript.whisperx[214].end |
7345.445 |
transcript.whisperx[214].text |
那燃油的效率其實也提升以及電動車輛的發展承諾我剛才講的2018年汽機車使用電力的大概只有20萬輛到今年的3月已經提升到88萬輛 |
transcript.whisperx[215].start |
7346.986 |
transcript.whisperx[215].end |
7368.27 |
transcript.whisperx[215].text |
那難有效率提升跟電動車這樣一個發展當然會導致這個收費會下降那可能這個裁員就會有問題是不是啊對 那隨著像我們現在有發現如果隨著電動車的一個繼續的一個使用如果也是採行現在免徵到了2030年大概會減徵的將近快36億元 |
transcript.whisperx[216].start |
7372.011 |
transcript.whisperx[216].end |
7377.939 |
transcript.whisperx[216].text |
好那現在大家社會大眾也在討論到是不是水里承徵收那水里承徵收你認為他的優點是什麼 |
transcript.whisperx[217].start |
7380.174 |
transcript.whisperx[217].end |
7402.688 |
transcript.whisperx[217].text |
水里程的徵收當然他就是反映在剛才講的公平性上大家走多少收多少他比較能夠實際反映出道路的使用狀況而且也避免這種電動車的這種趨勢所造成的影響而且能夠適應各種能源的這種車輛但是他的缺點是什麼 |
transcript.whisperx[218].start |
7403.368 |
transcript.whisperx[218].end |
7431.547 |
transcript.whisperx[218].text |
他缺點就是因為剛才特別提到就是說他要水里程偵測所以水里程如何來記錄這個里程這樣的一個技術呢可能就是他的技術其實就是有問題他的普及性以及篡改的問題那現在大概討論說以碼錶來登錄啦他有改錶的疑慮或是他沒有辦法有效的建立防避的機制或是OBD就是車上的診斷設備多數的舊車他沒有這樣的一個配備而且資料也可能被篡改 |
transcript.whisperx[219].start |
7432.648 |
transcript.whisperx[219].end |
7454.864 |
transcript.whisperx[219].text |
那OPU以及OPE就是車載單元跟車載機它設備的成員又比較高而且設備也有可能被拔除都是它相關的一個問題那我們來討論一下說我們交通部對於汽燃費到底有什麼具體的想法我先請教一下我們還是要把汽車燃料使用費 |
transcript.whisperx[220].start |
7455.904 |
transcript.whisperx[220].end |
7480.012 |
transcript.whisperx[220].text |
證明是這個道路養護費這個林俊憲委員跟我都有同樣的一個想法來你們說明一下我想委員所提出來希望證明他是道路的使用費或養護、修建的費用的這樣一個證明的修改這個汽車燃料使用費的這樣的一個建議或者是修法本部是支持的 |
transcript.whisperx[221].start |
7480.952 |
transcript.whisperx[221].end |
7505.919 |
transcript.whisperx[221].text |
當然我們在討論到這個棄燃費或者是這樣的一個道路維護的費用當然收費要公平而且它的相關的經費還是要充足它的費季要足夠另外就是負擔要合理這個為前提的那我們現在交通部針對相關的收費方式有沒有來做一個具體的一個討論我當然知道我們運營所 |
transcript.whisperx[222].start |
7507.259 |
transcript.whisperx[222].end |
7511.828 |
transcript.whisperx[222].text |
有做相關的研究這個醫院所研究要研究很久了要一年吧 |
transcript.whisperx[223].start |
7513.079 |
transcript.whisperx[223].end |
7537.27 |
transcript.whisperx[223].text |
來 次長說明一下對 運營所大概要研究大概一年到100 我的了解要到115年底那到什麼時候115年年底這個實在是非常的令人難以想像這樣的一個關係到民眾的以及道路的這種維護竟然要拖那麼久那我們相關的我們針對電動車它是一個趨勢的是 |
transcript.whisperx[224].start |
7541.912 |
transcript.whisperx[224].end |
7548.859 |
transcript.whisperx[224].text |
我也知道交通部有在討論嚴厲電動車的這個道路的維護費用也有計畫要徵收聽說是2030年有沒有這樣的一個想法來說明一下 |
transcript.whisperx[225].start |
7557.388 |
transcript.whisperx[225].end |
7584.123 |
transcript.whisperx[225].text |
我想跟委員報告一下剛才有特別提到氣燃費或是道路使用費其實就是從某個角度還是要公平那因為現在是近年轉型所以一開始的時候我們希望鼓勵電動車的一個使用但是隨著電動車剛才委員特別提到電動車數量越來越多的時候減增可能會影響到我們道路養護的經費所以政策上來講我們有規劃目前是規劃在2030年希望是不是可以延續來恢復來開增 |
transcript.whisperx[226].start |
7586.704 |
transcript.whisperx[226].end |
7595.404 |
transcript.whisperx[226].text |
我在交通委員會十幾年來大家都在討論相關七常會的這種徵收的方式交通部現在有沒有具體的一個想法來跟社會大眾來做一個說明 |
transcript.whisperx[227].start |
7597.889 |
transcript.whisperx[227].end |
7625.066 |
transcript.whisperx[227].text |
我想整個氣燃費徵收其實剛才委員特別提到他其實要考慮到幾個面向一個是公平一個是整個一個收費的整體的來源那另外一個是民眾能夠負擔所以這幾個問題那又隨著這個電動車的一個使用目前這個議題就是我剛才特別提到我們是委請運輸研究所就這幾個面向還是沒有明確的答案還是要等 |
transcript.whisperx[228].start |
7626.206 |
transcript.whisperx[228].end |
7655.004 |
transcript.whisperx[228].text |
因緣所相關的這個報告出來因為不管是剛剛委員特別提到現行來講隨車隨遊隨里程其實在近幾年來在交通委員會其實每一年大概都提都很多人在討論那討論為什麼到現在還是維持現在的隨車徵收其實也就是跟委員報告整個隨車徵收目前在世界很多的國家也是依舊在使用譬如說像新加坡日本或者是歐盟等等國家 |
transcript.whisperx[229].start |
7655.444 |
transcript.whisperx[229].end |
7673.547 |
transcript.whisperx[229].text |
日本也有不同的相關的地方他們實施不一樣的徵收方式也有但是多數來講還是多數地方還是採用這種方式所以這樣的一個方式如何改變我覺得我們還是要考慮到剛才三個名鄉共同來討論以後最後一分鐘我也最後一個小問題 |
transcript.whisperx[230].start |
7675.049 |
transcript.whisperx[230].end |
7694.317 |
transcript.whisperx[230].text |
那我們來討論一下國際電動車的這樣一個趨勢其實我們對於相關的安全規格以及相關的停車場相關的設施其實也帶來面臨新的挑戰那電動車起火撲滅的時間是傳統油車的七至八倍耗費的水量是傳統油車的四十倍 |
transcript.whisperx[231].start |
7695.077 |
transcript.whisperx[231].end |
7714.958 |
transcript.whisperx[231].text |
燃燒時它的溫度大約是800至1000度而且產生大量的有毒物質而且隨時都可能再次的復燃那我們來看相關的這些國際的這樣的一個統計跟我們消防署自己的統計消防署的統計 |
transcript.whisperx[232].start |
7716.74 |
transcript.whisperx[232].end |
7732.478 |
transcript.whisperx[232].text |
電動車自駕從2021年到2024年平均每年都超過60件有相關它起火的原因跟電動車主要起火的因素那這些在上面我就不再贅述那我們要確保安全的標準 |
transcript.whisperx[233].start |
7733.739 |
transcript.whisperx[233].end |
7752.528 |
transcript.whisperx[233].text |
電池的狀態剛才我們看到很多起火的狀態電池也是一個主要的原因那歐盟在2022年有新增規定他們以機械的這種進行物理的衝擊來證明、驗證電池的安全性他們要求撞擊之後不得起火 |
transcript.whisperx[234].start |
7753.208 |
transcript.whisperx[234].end |
7767.425 |
transcript.whisperx[234].text |
不得爆炸電池要維持在原來安裝的位置而且要目視檢查電解液是否有洩漏的這樣一個情形而且在高電壓的電池要符合相關的防護等級 |
transcript.whisperx[235].start |
7768.206 |
transcript.whisperx[235].end |
7782.864 |
transcript.whisperx[235].text |
那測試環境溫度條件之下觀察一小時要確認電池狀態的穩定性歐盟對這個要求是很嚴格的那我請問一下我們的做法是什麼我們有沒有參照歐盟的規範來說明一下 |
transcript.whisperx[236].start |
7786.105 |
transcript.whisperx[236].end |
7794.928 |
transcript.whisperx[236].text |
這個部分跟委員報告一下目前國內的車輛安全檢測基準是跟歐盟一樣是調和這個聯合國UNR100這個導進來我們有沒有將這種漏液還有膨脹的狀況也拉入這個定檢或是裝設這個感測器研議來裝設這些感測器 |
transcript.whisperx[237].start |
7806.191 |
transcript.whisperx[237].end |
7832.054 |
transcript.whisperx[237].text |
這部分我跟委員報告第一個部分新車這個完整的法規就如剛剛所報告的部分那這個使用中定期檢驗的部分那目前部裡面已經在這個111年把這個大型客車先這個拉進來就是定期檢驗的時候要去看這些要出去這個電池定期保養表這個部分那目前針對這個小客車的部分那公衛總局跟這個公衛目前在研議當中未來也會把他拉進來 |
transcript.whisperx[238].start |
7832.614 |
transcript.whisperx[238].end |
7854.363 |
transcript.whisperx[238].text |
我們必須相關的安全規格要比照歐盟來針對電動車的安全實施這樣的一個督促我們在停車場相關的消防設備也希望能夠跟消防署來討論是不是比照美國的相關的這個標準來做相關的設施那相關時間的關係我在跟我們交通部來做討論以上謝謝 |
transcript.whisperx[239].start |
7856.624 |
transcript.whisperx[239].end |
7874.789 |
transcript.whisperx[239].text |
好 謝謝委員謝謝李崑澤委員特別跟委員會報告陳雪生委員執行完畢休息十分鐘陳雪生委員執行完畢休息十分鐘現在請游皓委員執行 |
transcript.whisperx[240].start |
7884.828 |
transcript.whisperx[240].end |
7889.271 |
transcript.whisperx[240].text |
謝謝大委主席 謝謝趙偉那有請次長好 陳彥博次長委員好次長好那剛才其實委員都有在關心電動車的部分那在目前來講的話燃料稅有關於電動車來講現在是預計是可能會在2030的時候開始開車沒錯嗎 |
transcript.whisperx[241].start |
7910.407 |
transcript.whisperx[241].end |
7930.146 |
transcript.whisperx[241].text |
部裡頭朝這個方向來規劃那目前來講在電動車小客車的這個目前的普及率你看大約最新的數據是幾%目前那個電動車小小汽車啦大概是10萬輛左右10萬輛左右那目前原本預估在今年的話預計要達到多少比例 |
transcript.whisperx[242].start |
7932.488 |
transcript.whisperx[242].end |
7948.679 |
transcript.whisperx[242].text |
這個部分我跟委員報告一下去年跟這個今年應該是10%啦那去年這個電動小客車的部分都有達標那我們一共今年應該也會達標那所以說今年預計的話年底要達到多少量 |
transcript.whisperx[243].start |
7950.207 |
transcript.whisperx[243].end |
7965.016 |
transcript.whisperx[243].text |
因為這個是相對這個新車試作比就是你賣出去新車然後佔一級的比例所以這個幾輛如果按照這個國內如果說一年這個新車大概這個四十幾萬輛的部分的話那今年我們是預計目標是四萬輛的這個電動小客車 |
transcript.whisperx[244].start |
7968.085 |
transcript.whisperx[244].end |
7983.06 |
transcript.whisperx[244].text |
因為去年都還達到3.8萬輛嘛所以幾乎也達到九成啦那沒關係 那直接就叫這個貨物稅八項減稅的這個部分啊那因為我們現在看到川普的這個高關稅的這個政策啊那所以大概是人心惶惶那對於國內車要購買這個電動車的這個意願啊 |
transcript.whisperx[245].start |
7988.365 |
transcript.whisperx[245].end |
8009.914 |
transcript.whisperx[245].text |
那大家其實也會擔心說在今年的年底啊那其實電動車免稅就要到期啊那這包括這個汽機車的太舊換新也是要在明年的1月7號就要到期啊那所以在針對這個忽罪的這兩項那我相信交通部一直以來也都有跟財政部都有研擬這個就是檢討方案要延長 |
transcript.whisperx[246].start |
8010.834 |
transcript.whisperx[246].end |
8029.605 |
transcript.whisperx[246].text |
那我想就這個機會來請教一下那這個延長的方案預計會這個免稅會再延長多久是3年還是5年這一部分我們就尊重財政部的一個規劃原則上我們是支持繼續延長那你們支持的話是大約方向上的話會是再多久 |
transcript.whisperx[247].start |
8032.871 |
transcript.whisperx[247].end |
8050.186 |
transcript.whisperx[247].text |
因為財政部每次他也是有一個規劃的一個期程所以原則上是依他規劃的期程來那所以說延長的話 方向上當然是延長是方向以這個方面沒有錯啦那期程的話有沒有覺得說預計的話會再多多少時間 延長多少 |
transcript.whisperx[248].start |
8051.647 |
transcript.whisperx[248].end |
8067.409 |
transcript.whisperx[248].text |
因為所有的這個尤其是電動車的一個推動或近鄰的轉型的推動都是滾動的檢討所以說這樣的一個走向是朝這個方向但是真正的騎乘還是要看這個每一個階段來定那會不會至少再延長三年 |
transcript.whisperx[249].start |
8070.243 |
transcript.whisperx[249].end |
8091.162 |
transcript.whisperx[249].text |
因為不可能交通部都沒有想法或是沒有建議方案啦原則上我們就是支持財政部的一個想法就等他們公布就是了好啦沒關係不勉強那最主要是說在目前電動車的這種普及率啊其實在包括在203年的這個淨零排碳的目標啊其實還是有很大的一個距離要努力啦 |
transcript.whisperx[250].start |
8091.542 |
transcript.whisperx[250].end |
8119.821 |
transcript.whisperx[250].text |
那所以說在這個貨物稅尤其是在川普他這個關稅政策的這個情況之下其實對於電動車大家使用或是包括未來的物價膨脹其實大家是人心惶惶所以說是建議啊那交通部也是具體的表達延長的態度之外更能夠及早的來跟社會各界來去做一個說明包括配合財政部能夠及早說明我相信這個對於市場的就是消費者他購買意願來講絕對是有正向的提升 |
transcript.whisperx[251].start |
8121.502 |
transcript.whisperx[251].end |
8150.355 |
transcript.whisperx[251].text |
還是提出建議那另外就是上次在1月8號的時候本席是有提到這個電動車的電動裝在許多的交通的相關機關他目前他的這個電動裝的一個數量那時候詢問過許多的單位那本席也看到了在就是高速公路的南投休息站那在這兩三個月大興土木他就有趕快來增加這個 |
transcript.whisperx[252].start |
8151.996 |
transcript.whisperx[252].end |
8178.179 |
transcript.whisperx[252].text |
電動裝跟停車的電動車的充電設備那我想直接請教一下局長那這個部分為我們南投縣的南投休息站提升或改善了多少報告委員南投服務區目前在做的是那個太陽能光電的部分那充電裝的部分都已經全國道都已經裝去年八月都已經完成了所以說這些包括太陽能關電包括那個上面遮雨的那個部分都一次完成嘛好 |
transcript.whisperx[253].start |
8178.699 |
transcript.whisperx[253].end |
8200.474 |
transcript.whisperx[253].text |
那就再次的感謝那同樣的那延續著剛才其實廖先祥委員他有提到這個充電樁的設備他就是會影響到大家停留的時間那目前來講的話其實在以目前的電動車跟充電樁的比例來講將近是30幾比1的這個情況之下其實在整體的這個充電樁的設備其實嚴重不足啊 |
transcript.whisperx[254].start |
8200.734 |
transcript.whisperx[254].end |
8221.609 |
transcript.whisperx[254].text |
那尤其是在大偶大廈的這種老舊的大廈其實在設一個充電樁其實是非常的困難那其實在許多的公共的設施公共的環境來講還是要積極的來提高這個充電樁的這個設施那才能夠改善不管是停留時間或是把整體大家使用電動車的意願那最後的話我本期來針對這個 |
transcript.whisperx[255].start |
8223.911 |
transcript.whisperx[255].end |
8248.406 |
transcript.whisperx[255].text |
交通部這邊南投幸福巴是2.0上路啊那之前本席跟許竹華許縣長這邊跟南投縣政府有爭取這個民間竹山鹿谷三個鄉鎮來做事辦那在中央公共運輸計畫專案補助經費來講那本席在這裡也在拜託交通部把後面我們在南投縣剩下的十個鄉鎮一樣來協助是不是可以 |
transcript.whisperx[256].start |
8250.055 |
transcript.whisperx[256].end |
8268.106 |
transcript.whisperx[256].text |
我想應該是可以有需要的話我想公務局大概都會協助好 那本席在這裡另外要再提出一下就是說因為像南投線的話有些它不一定是用巴士雖然部部共乘它是五巴士它有些巴士大概是五人坐的客車其他是屬於用計程車的業者 |
transcript.whisperx[257].start |
8269.307 |
transcript.whisperx[257].end |
8283.288 |
transcript.whisperx[257].text |
還來去協助來補充這個較為偏鄉的這種交通運輸可是在計程車的這個總量管制的部分在南投縣目前有這個計程車的這個車輛不足3%那所以說其實在南投縣要持續在推行這個鄉鎮的事辦 |
transcript.whisperx[258].start |
8285.071 |
transcript.whisperx[258].end |
8307.035 |
transcript.whisperx[258].text |
第一需要我們交通部在經費上面能夠持續的協助那第二也需要來協助南投縣政府在計程車業者輔導人能夠投入在這個運送我們偏鄉的長輩還能夠完成這個幸福巴士2.0的部分來在這個計程車車牌的這個申請上給予協助好謝謝我會來協助是好謝謝好謝謝游浩委員的執行現在請黃建豪委員執行 |
transcript.whisperx[259].start |
8319.757 |
transcript.whisperx[259].end |
8322.823 |
transcript.whisperx[259].text |
好謝謝主席我們先請這個交通部政事陳政事 |
transcript.whisperx[260].start |
8328.224 |
transcript.whisperx[260].end |
8343.747 |
transcript.whisperx[260].text |
委員好 市長好市長我們想先討論一下我想最近這個新聞上也看到說我們的關於無照駕駛的肇事案件其實它的實際上件數跟死亡數已經超越了9家案件了你看一下這個數字無照駕駛在2023年這個死亡人數是763人酒醉駕駛導致的死亡肇事人數253人所以換句話說國人或整個社會我們 |
transcript.whisperx[261].start |
8351.249 |
transcript.whisperx[261].end |
8377.301 |
transcript.whisperx[261].text |
當然長期很關注所謂酒駕的造成的這個事故但從數字上看起來其實無照駕駛導致的案件跟生命財產的損失遠遠高於這個酒醉駕駛那當然我們知道說在2023年4月的時候已經有修法加重在這個罰環的部分修法前是一萬二那修法後有加了兩萬四所以確實整個罰環有提高好但這個修法的結果如果從這個數據上看起來 |
transcript.whisperx[262].start |
8379.702 |
transcript.whisperx[262].end |
8395.39 |
transcript.whisperx[262].text |
修法之後他基本上他的死亡跟肇事人數並沒有明顯的下降跟沒有明顯的改善那原因當然在於說很多無照駕駛人他雙手一攤子我沒錢或是他未成年或等等的他就不繳了就算了所以他的事故持續在發生所以我要問交通部的意見是說 |
transcript.whisperx[263].start |
8396.741 |
transcript.whisperx[263].end |
8419.308 |
transcript.whisperx[263].text |
就像我們自己在處理假車牌問題一樣本期在立法院的時候也曾經建議過當然現在也往這個方向修法這個上個週三都通過了嘛在這個假車牌部分最後我們有個共識式可以這個沒入車輛那像這樣無照駕駛有沒有考慮過除了罰錢之外是不是也應該來研議這個沒入車輛的條件市長或是我們局長都可以回應 |
transcript.whisperx[264].start |
8420.228 |
transcript.whisperx[264].end |
8446.739 |
transcript.whisperx[264].text |
也是這個部分報告這個委員針對無照駕駛的這個部分的話那交通部大概也有你居一個這個加重處罰的版本那現在也就是行政院已經通過了那後面願不願意通過之後就會送來這個立法院做審議那目前這個版本加重的部分大概就是幾個重點第一個部分現行保管最高額這一個兩萬四比照危險駕駛提高到這三萬六那另外一個部分當場一致保管車輛然後並扣繳這一個 |
transcript.whisperx[265].start |
8450.301 |
transcript.whisperx[265].end |
8465.119 |
transcript.whisperx[265].text |
這一個牌照那針對這個車輛的部分的話大家對於這個就是說無照當然無照駕駛如果發生這個形式相關的一個傷亡等等部分的話那就是一個證據那個依照情報就可以去做處理那針對一般的那個部分的話大概就是說 |
transcript.whisperx[266].start |
8466.52 |
transcript.whisperx[266].end |
8485.688 |
transcript.whisperx[266].text |
調控這個車輛這個牌照那現行加重處分的一個規定的話針對初犯的部分原來有一個月這個提高到調控牌照這一個三個月五年內兩次的話由三個月提高到這個半年那五年內三次以上的話就是有六個月提高到 |
transcript.whisperx[267].start |
8487.343 |
transcript.whisperx[267].end |
8495.617 |
transcript.whisperx[267].text |
這個一年那其他未成年人的部分現行就有病處罰這個家長這些相關的一個規定以上大概這個跟局長跟市長說 |
transcript.whisperx[268].start |
8497.284 |
transcript.whisperx[268].end |
8517.682 |
transcript.whisperx[268].text |
就像我還是要講一下之前我們在處理假車牌的時候也常常使用這個吊扣牌照等等的手段但實際上就是因為吊扣牌照他就另外處理就好了嘛他還是可以上路啊他這個人這個他還是有工具可以去做這樣的事情同樣的無招駕駛也是一樣問題嘛你把他牌照吊扣了是針對這台車但他這個人他第一個他可能沒有錢繳罰款 |
transcript.whisperx[269].start |
8518.763 |
transcript.whisperx[269].end |
8535.218 |
transcript.whisperx[269].text |
那再來他同樣的可以去開別的車不管是跟朋友借的還是有些不孝車行租給他的等等的所以他還是會存在這個問題嘛所以我才問說在什麼樣條件下如果你們因為你剛剛提到的版本包含說你可能現在送行政院版本也都是在針對這個吊銬牌照在做處分可是如果 |
transcript.whisperx[270].start |
8536.199 |
transcript.whisperx[270].end |
8564.493 |
transcript.whisperx[270].text |
這個車子它本身還是存在的它並沒有嚴重的就對借它車輛的人也好或是它駕駛的這個車輛不管它自己持有或是它是別人的它在它的財產上它並沒有任何損失我們通過罰緩或通過其他方式是希望它有警惕的作用所以它可以去做它不要再無招下了不要再傷入了但是實際上你並沒有真正把它的作案的工具做這件事情的工具去處理當然我是覺得說這部分我不知道你們有沒有想過說真的 |
transcript.whisperx[271].start |
8565.546 |
transcript.whisperx[271].end |
8576.106 |
transcript.whisperx[271].text |
之前的案例我們超過那個假車牌的問題就是後來用末路車輛來處分那我不知道為什麼你們這個無招駕駛這部分不能去照這個方向來走問題會卡在哪裡 |
transcript.whisperx[272].start |
8577.942 |
transcript.whisperx[272].end |
8599.498 |
transcript.whisperx[272].text |
跟委員報告 其實要沒入車輛這件事情在這個不管是在法案討論的時候我相信各委員之間大概都是算是一個很高度要討論的一個事項因為你畢竟不是把車輛沒入 而且車輛沒入是可責性委員剛才特別提到 這是駕駛人的違規 無照駕駛那這是處罰人 這是讓沒入車 |
transcript.whisperx[273].start |
8601.88 |
transcript.whisperx[273].end |
8620.134 |
transcript.whisperx[273].text |
那之間如何連結然後如何讓他變成可責性這個所以我才會講到說在所有的處罰條例對於沒入車輛都是經過非常這個嚴謹然後大家共同的討論所以目前交通部所提出來在行政院的版本是沒有這個有關沒入車輛的部分 |
transcript.whisperx[274].start |
8622.256 |
transcript.whisperx[274].end |
8642.672 |
transcript.whisperx[274].text |
那所以當然我也有這樣的一個建議我們蠻尊重的如果有機會的時候我想可以在立法院的時候大家對你們再思考下來目錄車輛的部分因為像這個無照價值剛剛提到了在最近幾年每年造成死亡就是光是無照價值的死亡人數按照大家的統計大概就七八百位一年 |
transcript.whisperx[275].start |
8644.316 |
transcript.whisperx[275].end |
8663.532 |
transcript.whisperx[275].text |
所以你說調通牌照出去罰還其實看起來效果不差如果他還是能夠去做這樣的事情那我想這個部分死亡人數可能還是不會有明顯的下降這是我還是要提出來的建議那最後這段時間這個無照駕駛當然有一部分是青少年的部分那當然我現在考照的這年齡是18歲 |
transcript.whisperx[276].start |
8664.813 |
transcript.whisperx[276].end |
8685.809 |
transcript.whisperx[276].text |
那有沒有考慮過依照其他限定國家與其放任這些完全沒有駕駛概念的人上路那我們是不是有沒有考慮過把這個乾脆駕照年齡下修他可以駕駛某一種車輛或某種排氣量的等級的車子至少他在上路前他知道他有一個基本的交通法規或交通倫理嘛不知道交通部有沒有考慮過這個方向 |
transcript.whisperx[277].start |
8688.902 |
transcript.whisperx[277].end |
8707.562 |
transcript.whisperx[277].text |
這個部分我也跟委員報告一下大概就是說以往大家都在討論說先行考照18歲可否下降到16歲這個部分那其實這個部分的話部裡面從這個105年109年然後到111年大概都有跨部會甚至包括找家長團體大家來共同討論 |
transcript.whisperx[278].start |
8708.263 |
transcript.whisperx[278].end |
8724.467 |
transcript.whisperx[278].text |
那討論的一個結論是大家還是認為說還是要維持現行的部分那另外一點就是跟委員也報告因為現在的這個運居的分類包括現在有這個微型電動二輪車那14歲以上大概就可以其實我們這個是不需要駕駛執照的部分 |
transcript.whisperx[279].start |
8724.927 |
transcript.whisperx[279].end |
8746.718 |
transcript.whisperx[279].text |
那但是這個部分我們公共監獄機關也在著重這些相關駕駛安全教育的部分所以大家在講說有些學生等等的部分的話這個基本上大概也有這樣子的運氣可以做選擇那至於駕照連連那個部分的話可能必須要社會再做一個討論好沒關係你們目前比較保守啦但我還是建議說這個東西實際面上這些人他還是會開上路 |
transcript.whisperx[280].start |
8747.847 |
transcript.whisperx[280].end |
8777.073 |
transcript.whisperx[280].text |
我們實務上看到就是這個問題當然它是違法的只是說既然他還是會上路有這個問題高中很多人就無招駕駛跑在馬路上面的那為了解決這個問題或是說可以去思考到底怎麼樣的年齡去適合他有這個能力去做這樣的事情我就希望教安部在這個變相上面稍微積極一點好不好謝謝謝謝黃建豪委員執行現在請陳雪生委員執行陳雪生委員執行完畢休息十分鐘 |
transcript.whisperx[281].start |
8782.165 |
transcript.whisperx[281].end |
8787.948 |
transcript.whisperx[281].text |
好 謝謝主席 是不是請我們次長好 陳次長好 陳局長市長 局長早最近在討論那個我們那個人口啊人口修那個水啦 電啦 瓦斯啦齁 這個要下地嘛齁要規範嘛齁 |
transcript.whisperx[282].start |
8812.928 |
transcript.whisperx[282].end |
8833.082 |
transcript.whisperx[282].text |
這個案子已經行之有年了我想請問一下這個人口蓋全國大概有數量多少?這裡面有電、水、電、瓦斯什麼的?這個我要...對有一百多萬現在目前沒有這樣的一個數據有一百多萬處我覺得這個修讀法知識體大你強制規範說 |
transcript.whisperx[283].start |
8842.915 |
transcript.whisperx[283].end |
8860.61 |
transcript.whisperx[283].text |
人口蓋全部要下地對不對有特殊的,比如救災什麼需求這一些可以請求來處理問題是一百多萬戶的這一些人口蓋因為它會有氣爆的問題會有氣爆的問題因為這裡面沒有辦法揮發 |
transcript.whisperx[284].start |
8871.025 |
transcript.whisperx[284].end |
8893.555 |
transcript.whisperx[284].text |
會有公共的危險你們有沒有考慮這個問題我想跟委員報告就是說有關這個是不是所有要下地剛才委員特別提到我們不會去規定所有的要下地啦有些在什麼樣的情況下不是你的規範已經就這樣子啦這是相關委員的一個提案這是委員相關的一個提案你們交通部公路總經理都沒有意見嗎 |
transcript.whisperx[285].start |
8895.856 |
transcript.whisperx[285].end |
8920.587 |
transcript.whisperx[285].text |
我想請陳局長說明一下因為這個法已經在交通委員會討論了十幾年了十幾年了之前你們是有意見的這一次反常的我看沒什麼意見各位報告因為這個管線機構就是大概做的一些人孔蓋大概就是說在道路上面其實它有時候如果說修的不平整其實有時候比較容易就是說可能會有一些事故 |
transcript.whisperx[286].start |
8921.067 |
transcript.whisperx[286].end |
8946.104 |
transcript.whisperx[286].text |
所以現在大概就是說希望就是說人孔蓋挖了以後整條就是回填的包括這個人孔蓋跟回填的部分希望能夠跟道路齊平讓這個尤其是騎機車的能夠更安全 那平整那當然就是說 如果說它能夠下地的話是整個道路上面再重鋪的話其實它平整度就沒有問題所以有一些地方政府大概就是會有一些不是 我想問你有沒有考慮到氣爆的問題 |
transcript.whisperx[287].start |
8949.286 |
transcript.whisperx[287].end |
8977.747 |
transcript.whisperx[287].text |
因為底下不流通空氣不流通有電源電力公司有電源通過他大概就是說可以下地因為他大概我的了解因為目前並不是強制現在大概有一些地方政府就是說他會要求就是說如果你不常開啟或者是就是說有特殊需要的話其實是不要下地如果說你不常開啟的那其實把它下地之後整個道路其實它平整度也沒有就是說在回田的時候可能會有凹陷的問題 |
transcript.whisperx[288].start |
8978.607 |
transcript.whisperx[288].end |
9002.712 |
transcript.whisperx[288].text |
不是,你這個法的修是原則下地,例外不下地你應該顛倒過來你應該是原則不下地,例外的話下地應該是這樣啊你一百多萬出,我跟你講你這個維修一次的成本大概一萬塊錢一萬塊錢問題 |
transcript.whisperx[289].start |
9006.041 |
transcript.whisperx[289].end |
9021.289 |
transcript.whisperx[289].text |
你要挖洞路上水泥的鋪面還有平整挖的那個坑洞洞洞的更多你們有沒有考慮這個問題我覺得你們公路總局應該要表示意見不能不表示意見 |
transcript.whisperx[290].start |
9023.68 |
transcript.whisperx[290].end |
9043.912 |
transcript.whisperx[290].text |
我想跟委員報告一下,就是有關人手孔蓋要下地的這件事情當然牽涉到道路主管機關,或者是相關管線埋設的單位的意見這個原則上我們大概都會充分的尊重,尤其是地方主管機關你們有尊重嗎?是,充分尊重他們一切你們有徵詢過中華電力公司嗎?有徵詢過中華電力公司嗎?有徵詢過水業處嗎?沒有所以他們有提出來意見啊? |
transcript.whisperx[291].start |
9051.856 |
transcript.whisperx[291].end |
9068.722 |
transcript.whisperx[291].text |
所以我們會在相關的裡頭請他們來表示相關的意見那最主要這個法案的提出是委員的提案啦所以原則上我們尊重這個委員會的一個討論啦我跟他討論過這個事情我也跟委員提案這個提案不是這一次在109年就出現而且在109年之前還更早也被提出來過他沒有很堅持 |
transcript.whisperx[292].start |
9077.885 |
transcript.whisperx[292].end |
9103.763 |
transcript.whisperx[292].text |
所以整個他沒有很堅持因為這個量體太大了他沒有很堅持而是你們公路總局這個案會診的時候我跟委員報告其實我們真的是尊重委員我們知道有這些各個面向的問題但是道路的平整度是要考慮的然後相關的維修的必要性也是要兼顧的所以相關的條款我也贊成我也支持我也同意 |
transcript.whisperx[293].start |
9104.463 |
transcript.whisperx[293].end |
9133.773 |
transcript.whisperx[293].text |
所以這個條文要如何來修,我們原則上尊重委員會的一個他提案委員的主要是這樣是不是尊重地方政府你把這個權限授權地方政府要協調哪一些下地哪一些不下地應該不下地為原則啦那麼有一些要下地的有沒有你在整個工程審查的時候地方政府他要負起主要責任這才是正本清源之道啊 |
transcript.whisperx[294].start |
9134.929 |
transcript.whisperx[294].end |
9144.544 |
transcript.whisperx[294].text |
而不是說你們交通部公路總局你就尊重委員的意見,你把這個法定下去你定下去以後有一百多萬處委,我看你們怎麼處理 |
transcript.whisperx[295].start |
9145.646 |
transcript.whisperx[295].end |
9171.552 |
transcript.whisperx[295].text |
不可能嘛你只有逐年的去實施啦我跟委員報告一下或許是但是這個現在的修正的條文我稍微念一下它是公路主管機關有必要是得它還不是因是得要求下地但是如果管縣單位認為有特殊需求是可以免下地所以這也是符合剛才委員的意見是以地方主管機關來我是建議 |
transcript.whisperx[296].start |
9173.732 |
transcript.whisperx[296].end |
9199.366 |
transcript.whisperx[296].text |
這個法條修正的時候我們再聽聽大家的意見要地方政府也配合參與這個事情你起碼地方政府在審查的時候,你給他應該很大的權限因為道路主要還是地方政府在負責嘛你們怎麼可能管得那麼密密麻麻的,枝枝節節的管那麼多勒是不是有的有需要,有的沒需要你這裡是講說下地的時候 |
transcript.whisperx[297].start |
9202.688 |
transcript.whisperx[297].end |
9217.928 |
transcript.whisperx[297].text |
他的特殊性就是救災啦或是幹什麼等等啦,特殊原因可以不要下地但你這個本末顛倒啦,我是覺得你應該是你應該是原則上不下地啦 |
transcript.whisperx[298].start |
9218.939 |
transcript.whisperx[298].end |
9241.428 |
transcript.whisperx[298].text |
那麼下地的部分應該是特殊的需求應該把它顛倒過來沒有我跟之前委員有討論過這個事情有關這個條文怎麼修如果到時候進入組條要討論的時候我想我們再跟委員來討教我們協商會等的時候注意一下這個問題好不好我們尊重整個委員會討論的結果第四項跟第五項好不好好謝謝 |
transcript.whisperx[299].start |
9244.282 |
transcript.whisperx[299].end |
9258.26 |
transcript.whisperx[299].text |
好 謝謝陳雪生委員的執行休息時間更正魯明哲委員執行完畢休息五分鐘現在請魯明哲委員執行 |
transcript.whisperx[300].start |
9270.069 |
transcript.whisperx[300].end |
9272.089 |
transcript.whisperx[300].text |
好感謝主席呃有請我們呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃呃 |
transcript.whisperx[301].start |
9290.871 |
transcript.whisperx[301].end |
9314.736 |
transcript.whisperx[301].text |
這個首先啊因為你們兩位問你們兩位都公道了這個前面的公務總局的前局長現在公務局局長那這個問題事實上發生的時候網路在傳的時候我也打電話給我們現任的這個陳局長特別在談這個問題啊那那個情況你都知道嘛今年3月19號那個整個影片在傳嘛那當然他的這個 |
transcript.whisperx[302].start |
9316.776 |
transcript.whisperx[302].end |
9332.334 |
transcript.whisperx[302].text |
排氣管你覺得是不是原廠的或者檢查相關的一些問題那後面的情況在爭議的過程中我們的監理站的人員就說你去摸嘛這個就很燙你要去摸如果你可以放在上面20秒 |
transcript.whisperx[303].start |
9334.656 |
transcript.whisperx[303].end |
9351.325 |
transcript.whisperx[303].text |
20秒的話就算通過那我先問公務總局的這個陳彥博前局長好不好因為我感覺這蠻有歷史是不是你那個時代傳承下來的這個經驗經驗法則啊以前是有這樣規定嗎自己敢摸自己的排氣管那個20發動之後20秒然後就算過關 |
transcript.whisperx[304].start |
9357.008 |
transcript.whisperx[304].end |
9370.011 |
transcript.whisperx[304].text |
現在陳局長你說一下各位報告其實我們同仁就是排氣管不是這樣檢驗我們已經對於同仁就是說做了這個更嚴格的一些教育訓練還有就是說 |
transcript.whisperx[305].start |
9372.032 |
transcript.whisperx[305].end |
9399.71 |
transcript.whisperx[305].text |
他的執行的方式我想我們也這個通令所有的各監理機關來做相關的一些檢討那基本上因為排氣管他就是防止就是說他被就是說這個太燙所以被燙到所以大概相關的形式跟這一個比如他的一個原廠的一些規格的話其實能夠改變的形式環境部也有相關的規範所以其實看那個大概就是說有一些這個環境部規定的一些形式的話其實就可以 |
transcript.whisperx[306].start |
9401.511 |
transcript.whisperx[306].end |
9427.585 |
transcript.whisperx[306].text |
這我懂嘛但是你們人員是依法執法依法行政就很清楚有問題沒有過不需要吵架你知道嗎你用吵架我覺得這很奇怪弄完之後咧當影片出來對機關形象如何對他這個處理方法真的是很奇怪那你說這個假設有隔熱板是放在後面你要摸後面還摸前面在討論這個我覺得都不應該啊那到底有沒有車輪槍這件事啊 |
transcript.whisperx[307].start |
9429.326 |
transcript.whisperx[307].end |
9457.502 |
transcript.whisperx[307].text |
你們有配備這個測溫槍嗎沒有就簡單來講這個排氣管合不合格形式合不合格是不是要透過測溫槍來測因為它基本上形式合格的部分的話其實就是它的這個溫度的話其實是可以就是說是沒有問題的所以其實不用去摸或是不用去測這個溫度好那這個部分說都做好教育了是OK |
transcript.whisperx[308].start |
9458.402 |
transcript.whisperx[308].end |
9472.862 |
transcript.whisperx[308].text |
那可是有一個問題就是我們叫做一翻網路就發覺同樣一位我們認真的監理站的夥伴在這前一個月2月24號就今年的2月24號也跟人家 |
transcript.whisperx[309].start |
9473.959 |
transcript.whisperx[309].end |
9497.473 |
transcript.whisperx[309].text |
跟一堆人在那邊吵啊 吵什麼 吵那個車牌啊右邊看到沒有 車牌 你看得很清楚吧 VLG然後 吵什麼車牌 V中間好像有一點有一些白色 是不是好像塗上去的好像為了讓大家看清楚 V 是不是有一些問題 然後 |
transcript.whisperx[310].start |
9499.494 |
transcript.whisperx[310].end |
9519.18 |
transcript.whisperx[310].text |
也在那邊吵我就覺得很奇怪因為相關的法令那個規定這個我就覺得有點奇怪你到底現在的一個情況是不是能夠達到不能夠辨識他的牌照人家的起心動念是說糟糕了不管刮到什麼我的V怕別人認不出來是讓 |
transcript.whisperx[311].start |
9520.74 |
transcript.whisperx[311].end |
9535.707 |
transcript.whisperx[311].text |
合法的牌照讓人家辨識更清楚假設我是黑色的是有點斷 被磨掉了我用黑色的鉛筆讓這個V呈現得更好這個有什麼好吵的啊那個局長你知不知道這件事 |
transcript.whisperx[312].start |
9537.464 |
transcript.whisperx[312].end |
9565.067 |
transcript.whisperx[312].text |
還是現在才聽說就是就是牌照的部分基本上就是說當然要辨識啦那所以就是說他如果說這個沒辦法辨識的話大概同仁都會覺得說那可能是不是就是可以就是來做一個換一下這個牌照這樣子那所以好啦現在就是辨識的很清楚他要看中間這個字好像有一點白色是不是有奇異比的內容好像我不知道你們SOP什麼我真的不知道 |
transcript.whisperx[313].start |
9565.808 |
transcript.whisperx[313].end |
9586.216 |
transcript.whisperx[313].text |
我真的如果說每一個做事情你對的也不要吵架可是你也不要去刻意去找人家的麻煩沒有影響到執法沒有影響到監理的公平的一個性質我覺得你要這個SOP但我真的建議你同樣一個人發生多次這麼認真的一個情況 |
transcript.whisperx[314].start |
9587.696 |
transcript.whisperx[314].end |
9602.404 |
transcript.whisperx[314].text |
你去思考一下 是不適合他以這麼精細的態度是不是適合比較內情是不是不要接觸人不然到最後徒增很多的一些問題那我想要跟你說 |
transcript.whisperx[315].start |
9603.993 |
transcript.whisperx[315].end |
9611.72 |
transcript.whisperx[315].text |
摸排氣管這件事情啊我那天在打電話給你 今年度的時候我感覺你好像沒聽過這件事情結果我一去查我真的嚇一跳這個兩年多啊快三年了 111年12月7號這也是媒體披露的啊就說那不是這個人了是在士林間裡站的也是叫人家摸啊那時候 |
transcript.whisperx[316].start |
9626.352 |
transcript.whisperx[316].end |
9642.924 |
transcript.whisperx[316].text |
環境部的新法規還沒出來喔舊法規的時候你們一樣叫人家 叫他證明不燙所以兩年多之前你們的檢討報告也出來了說讓民眾手觸摸排氣管 測量溫度 確有不妥我要加強專業訓練避免再次情況情況再次發生 就再發生了 |
transcript.whisperx[317].start |
9651.141 |
transcript.whisperx[317].end |
9657.233 |
transcript.whisperx[317].text |
好好檢討一下啦好不好這個東西到底是什麼原因那再來通用計程車的一個問題那這個新聞的部分 |
transcript.whisperx[318].start |
9661.172 |
transcript.whisperx[318].end |
9661.192 |
transcript.whisperx[318].text |
好 |
transcript.whisperx[319].start |
9682.891 |
transcript.whisperx[319].end |
9705.05 |
transcript.whisperx[319].text |
現在這個情況 你們也很清楚啦一直在想辦法 像4月有新的一些補助辦法規定我們也看到了嘛那說真的 這已經十幾年了十幾年了 那發生什麼樣一個情況呢這很多現在的現況急需解決啊你現在看看第二個 第一行是我們這個全國各六都 以六都為例 |
transcript.whisperx[320].start |
9705.991 |
transcript.whisperx[320].end |
9720.936 |
transcript.whisperx[320].text |
身心障礙者人數的一個比例第二個比例是通用計程車在這幾個六都中間佔有的比例台北市看起來幾乎是四成但四成也不多你知道嗎因為全國總共在113年年底的統計才1324輛佔所有計程車的大概是1.5% |
transcript.whisperx[321].start |
9731.98 |
transcript.whisperx[321].end |
9752.145 |
transcript.whisperx[321].text |
所以你在看這個人數的一個比例服務的一個比例一台通用所謂無障礙計程車到底服務幾位身心障礙當然所有身心障礙的類別非常多不一定是輪椅那一類但是我們還是用這個通盤去做一個政策的參考的比較你看台北市每台車服務230人 |
transcript.whisperx[322].start |
9754.625 |
transcript.whisperx[322].end |
9778.663 |
transcript.whisperx[322].text |
到了桃園每一台車服務1281人到了最後台南一台車要服務2590人這個第一個車數明顯不夠 總量不夠第二個呢 分配的部分也不夠平均所以怎麼樣在政策去引導這個次長你回答一下那為什麼在這樣這麼缺車的情況 |
transcript.whisperx[323].start |
9780.684 |
transcript.whisperx[323].end |
9793.882 |
transcript.whisperx[323].text |
隨便找三個城市啦 不想弄表搞得花花的確實應該每一年都趕快來申請新北市前三年1112130沒有人申請 沒有人要你們的錢 |
transcript.whisperx[324].start |
9795.171 |
transcript.whisperx[324].end |
9818.19 |
transcript.whisperx[324].text |
一台車補助31萬 新購車 沒人要台北市 還好 台北市做的最好了1113沒有 112年他有提這個 但是補助多少 我不知道桃園 我也問了 是000就是說這個政策 引導性 重要性從中央政府到地方政府 到底發生什麼事 你能不能總結一下 |
transcript.whisperx[325].start |
9818.931 |
transcript.whisperx[325].end |
9840.129 |
transcript.whisperx[325].text |
明明就很缺 分配又不均 可是大家又不想申請但你先看右邊這個零喔 不要解釋這三都啦111年 現在已經跟你申請結帳的 右邊的表111年你們公務局補助出去的 結帳的 全國是零這最嚴重喔 所以不要看其他縣市 其他縣市沒有人跟你申請 |
transcript.whisperx[326].start |
9841.833 |
transcript.whisperx[326].end |
9858.679 |
transcript.whisperx[326].text |
這麼急迫為什麼搞成這樣市長你說一下我跟委員報告一下剛才委員講一輛車尤其是我們的通用計程車服務整體上來看可能還要再加入地方政府的復康巴士所以我想整體復康巴士來營運的狀況會不一樣 |
transcript.whisperx[327].start |
9860.64 |
transcript.whisperx[327].end |
9888.981 |
transcript.whisperx[327].text |
那至於說通用計程車的申請的這一部分是由各縣市政府來提出申請那我們也有相關的一個補助那我們也發現通用計程車以往的時候來申請以後它不是用在載運這種需要輪椅來服務的乘客所以我們今年應該是4月我們就已經改變了相關的一個方式當然補助我們還是繼續補助應該是一台車應該是40萬的一個補助那另外呢它空車在等待 |
transcript.whisperx[328].start |
9889.721 |
transcript.whisperx[328].end |
9911.034 |
transcript.whisperx[328].text |
也有給相關的經費然後他行駛空車行駛到這個載運這個無障礙也有那最重要的我們希望這些生前的這個通用計程車的這個駕駛朋友他要在一個運營所的一個平台上愛接送的平台上去顯示出來類似像以後來加速這種通用計程車的使用通用計程車要不要在輪椅的這個客戶 |
transcript.whisperx[329].start |
9914.036 |
transcript.whisperx[329].end |
9938.072 |
transcript.whisperx[329].text |
所有通用計程車要能夠掛牌合法作為通用計程車要不要做這樣的輔具設施要嘛就好了嘛你現在講說要載誰對一般人他也可以做一般的生意只要椅子夠我懂啦可是你這個成本是固定的嘛那我現在就請教你知道嗎大家都痛苦啊剛剛早上通完一個電話他坐了七年不坐了換車了絕對絕對不回去 |
transcript.whisperx[330].start |
9940.774 |
transcript.whisperx[330].end |
9958.235 |
transcript.whisperx[330].text |
我剛剛講怎麼這麼堅決發生什麼事你們到底是不知道政策領導當然我覺得有一半去做改了當然第一個購車的成本購車的成本他都目前全台灣除了原裝的車輛可能加原裝的大概主要有四到五款的車適合做 |
transcript.whisperx[331].start |
9959.016 |
transcript.whisperx[331].end |
9966.82 |
transcript.whisperx[331].text |
那有稍微貴 稍微便宜的大概都180到200現況就是整個輔具做好大概就要這麼貴那你們補助款呢過去是30 31萬嗎30幾萬是不是31萬然後現在4月開始3月6號公告現在變成40萬請問一下我購車我現在要貸款要去借錢購車最痛苦購車最痛苦那你們呢 |
transcript.whisperx[332].start |
9986.791 |
transcript.whisperx[332].end |
10003.551 |
transcript.whisperx[332].text |
講過去的31萬是不是應該要一次或者進駐要到位讓人家第一次花了180萬到200萬你補助他30萬只是貼他一點六分之一 趕快補助他一些回補一些經濟這也是你們當時的用意嘛 對不對 |
transcript.whisperx[333].start |
10004.292 |
transcript.whisperx[333].end |
10020.294 |
transcript.whisperx[333].text |
是那有分年嗎或五年才給他滿意嗎一次一次到位一次到位啊你知道現在的車隊我跟委員報告因為各種這個通用計程車他本來的樣式就不一樣所以我們當時在訂試駛的時候是有針對整個試車 |
transcript.whisperx[334].start |
10022.336 |
transcript.whisperx[334].end |
10034.399 |
transcript.whisperx[334].text |
升降的這個輔助的設備那也跟委員說明一下有關通用計程車通用型的計程車目前我們也正在跟經濟部共同來研議在未來我們希望所有的計程車都是通用計程車如果是你講說的這麼OK的話不會每一年到現在就這個 |
transcript.whisperx[335].start |
10045.283 |
transcript.whisperx[335].end |
10061.275 |
transcript.whisperx[335].text |
1.5% 1300多台 大家騎車都要來那你車輛的補助款 你是一次給他那你覺得 你有問過那個市長你有問過真正通用計程車的司機嗎 駕駛嗎車子自己買的 他是一次拿到還是分好幾年拿到 你有沒有問跟這位委員報告一下目前這個通用計程車的部分大概是透過車隊的這個部分來好啦 你答案出來了嘛 |
transcript.whisperx[336].start |
10072.093 |
transcript.whisperx[336].end |
10089.268 |
transcript.whisperx[336].text |
你的意思就是說本來是我們的概念政策是說錢給買車那個人結果中間說車隊不好意思不能自己來要透過我車隊申請然後車隊去你補給地方政府他給他申請31萬拿過來然後呢然後呢到車隊了 |
transcript.whisperx[337].start |
10094.244 |
transcript.whisperx[337].end |
10120.827 |
transcript.whisperx[337].text |
到車隊然後怎麼樣 如果他向台北市申請100輛車你把這麼多的錢放在車隊產生了幾十萬上百萬的利息你是圖利是不是我告訴你現在反映的車隊 我不講哪個車隊 就是五年你的三十一萬就是五年 他不玩了嘛五年耶 你一次要給他五年 五年還分十次然後半年三萬一 三萬一 |
transcript.whisperx[338].start |
10122.659 |
transcript.whisperx[338].end |
10136.524 |
transcript.whisperx[338].text |
不是你們的政策我是覺得如果要擔心說我補助你萬一不做但是第一次購車款你至少要給人家一半嘛要給人家一半嘛後面再監督他到底做得怎麼樣好啦我建議這個市長 |
transcript.whisperx[339].start |
10140.186 |
transcript.whisperx[339].end |
10153.141 |
transcript.whisperx[339].text |
市長 拜託一下 通運計程車隨機找一些朋友來不然這些 你現在1324台 我做個結論有多少是五年以上他已經沒有在幹了他根本不按了五年了嘛 |
transcript.whisperx[340].start |
10153.882 |
transcript.whisperx[340].end |
10173.713 |
transcript.whisperx[340].text |
假設一般的車行員3年5年我不幹了我不要 你們這樣子我要多少服務態度要服上去服下來然後車制一樣他不幹了所以我覺得第一次的車款即使不能給他也要給三分之二三分之一看你到底有沒有去服務我們真的不能這樣的 |
transcript.whisperx[341].start |
10175.153 |
transcript.whisperx[341].end |
10189.203 |
transcript.whisperx[341].text |
不能這樣 你31萬要一次給他他第一次只拿到3萬1這是事實 早上的一個車隊的情況如果你們還不知道跟你們政策的一個效度差異很大 請你們去研究 謝謝謝謝魯明哲委員的執行現在休息五分鐘 |
transcript.whisperx[342].start |
10550.029 |
transcript.whisperx[342].end |
10574.151 |
transcript.whisperx[342].text |
好 各位請就座好 現在請蔡其昌副院長執行謝謝主席麻煩主席請交通部陳政次好 陳次長 |
transcript.whisperx[343].start |
10580.044 |
transcript.whisperx[343].end |
10599.5 |
transcript.whisperx[343].text |
市長好市長今天有兩個題目想來就教市長第一個我想這些年來陸續媒體也都有報導就是特別是開放現在這個檢舉之後媒體也都有報導就是有關那個 |
transcript.whisperx[344].start |
10601.36 |
transcript.whisperx[344].end |
10623.192 |
transcript.whisperx[344].text |
高速公路啊要下這個交流道譬如說這個台76線啊這個中部地區民眾非常常常使用台76線在12點省道跟高速公路都有譬如說台76線下這個下這個埔心交流道 |
transcript.whisperx[345].start |
10630.984 |
transcript.whisperx[345].end |
10656.73 |
transcript.whisperx[345].text |
然後下蒲岩雜道都會出現擁塞情形那擁塞呢大家就會一路從下面一路往上塞往上塞的結果就會塞到雜道 塞到那個叫做路尖然後呢 就有人檢舉那過去呢 我查了一下新聞資料像這個 |
transcript.whisperx[346].start |
10660.848 |
transcript.whisperx[346].end |
10686.464 |
transcript.whisperx[346].text |
TVBS媒體的報導警察依檢舉影片開80張罰單就一整排車主都收到紅單那本席最近也同樣收到民眾的陳情也是一樣因為要排隊嘛這個紅色的車子要排隊那排隊你看他的車輪啊已經一輪在這個這個路肩上面所以呢就檢舉這個所愛這個行駛路肩那 |
transcript.whisperx[347].start |
10691.821 |
transcript.whisperx[347].end |
10712.327 |
transcript.whisperx[347].text |
市長這個我想不是今天才發生那過去法院也曾判決我查了一下資料法院也曾針對民眾在法院有訴訟所以法院就認證說排入監是為了緊急避難所以准予撤銷這個罰單 |
transcript.whisperx[348].start |
10714.164 |
transcript.whisperx[348].end |
10741.767 |
transcript.whisperx[348].text |
所以我看過公路局的做法這個法院准許撤銷罰單然後我們的做法裡面有去改快速道路或者高速公路這個路間的情形那也有要求要動態檢舉也就是不能憑一張照片因為那動態表示這個透過動態就可以看到他是故意要走路間還是被迫走路間 |
transcript.whisperx[349].start |
10743.089 |
transcript.whisperx[349].end |
10766.583 |
transcript.whisperx[349].text |
所以動態的檢舉也是一種方法但是呢這個民眾到今天為止還是譬如說我講這張罰單我請公路單位來說明公路單位還是他覺得沒有辦法還是要請民眾自己去申訴那市長我想喔這個民眾喔其實市農工商很忙啊 |
transcript.whisperx[350].start |
10767.506 |
transcript.whisperx[350].end |
10792.913 |
transcript.whisperx[350].text |
被開了罰單明明就是在路間等待塞車就下面我就下不去嘛那這樣的一個塞車情形民眾還要主動被開這個單子已經是気持很壞了這就不是 他就沒有錯啊他就你政府應該解決塞車的問題啊你塞車讓我下不去我排隊在那裡還要被檢舉還要開罰單開罰單你告訴我說你自己去申訴 |
transcript.whisperx[351].start |
10798.223 |
transcript.whisperx[351].end |
10820.871 |
transcript.whisperx[351].text |
所以本席今天透過這個質詢就是要來救救次長像這種叫民怨這種就是制度這個制度殺人簡單講就是這樣子那所以次長我看過過去的方法譬如說我們曾經在法院認證上把它撤銷當然這個不好啦不依教大家每一個人都上法院這個 |
transcript.whisperx[352].start |
10822.832 |
transcript.whisperx[352].end |
10850.88 |
transcript.whisperx[352].text |
制度設計叫大家我把你開了你自己再去法院講嘛這個我是覺得非常不妥所以有些路段或許適合在工程設計上去做調整但我也接受我們公路同仁的講法有些路段是不適合的所以開路間是不對的不可以但如果因為被迫他必須因為你塞車嘛所以我必須就必須要在那裡排隊那我們也曾經 |
transcript.whisperx[353].start |
10852.13 |
transcript.whisperx[353].end |
10864.086 |
transcript.whisperx[353].text |
有個案 叫做我們要求 再有一些路段啦應該不是說個案 有一些路段要求要動態檢舉那為什麼我們交通部不統一去宣布說類似像這種情形 都應該要動態檢舉來 次長 |
transcript.whisperx[354].start |
10869.319 |
transcript.whisperx[354].end |
10889.139 |
transcript.whisperx[354].text |
我想我跟委員報告一下有關委員剛才舉例的很多這些照片其實都牽涉到這個相關的違規舉發的這個相關的實務而且應該除了公務主管機關之外可能也要跟警察機關大家共同去討論一下因為什麼樣的情況下當然是如果 |
transcript.whisperx[355].start |
10890.44 |
transcript.whisperx[355].end |
10906.051 |
transcript.whisperx[355].text |
該委員特別要緊急避難啊或者是什麼樣情況下他來行駛這樣不得行駛的一個路段這個說不定有他的可行性但是是不是一定是這樣這個可能要再討論一下所以委員看 |
transcript.whisperx[356].start |
10906.531 |
transcript.whisperx[356].end |
10922.623 |
transcript.whisperx[356].text |
特別提到的這個部分我想我們可以帶回去請司里頭或是公路局或高工局整個道路主管機關再跟警察機關好好大家討論一下到底是什麼樣的情況因為即便是在這個塞車的時候所有的車輛還是要遵循著相關的一個規定來行駛 |
transcript.whisperx[357].start |
10924.464 |
transcript.whisperx[357].end |
10946.021 |
transcript.whisperx[357].text |
因為他剛才什麼樣的情況下是所有的車子都跑到路間了這個可能要去探究一下說不定就是在前面有什麼樣的一個狀況發生了所以整個來講可能不宜從這樣幾張照片就說不可市長你可能完全沒有懂我剛剛花了很長時間在講這件事情我要告訴你是什麼 |
transcript.whisperx[358].start |
10946.681 |
transcript.whisperx[358].end |
10970.633 |
transcript.whisperx[358].text |
他就是有一些樣態 我講過不可以走路間喔但有一些樣態他是不得不走路間喔譬如說舉例嘛 他如果一路從快車道排上來簡單講 他要塞住最外側的車道 如果塞車的時候閘道塞車 他已經一路從閘道一直排上來他一定要排到最外側的車道嘛 |
transcript.whisperx[359].start |
10971.209 |
transcript.whisperx[359].end |
10984.818 |
transcript.whisperx[359].text |
那大家會習慣 譬如說前面一台車 排外車 大家會覺得說為了讓車 高速公路不要塞車 大家就會盡量往路間往路間靠 這人性嘛你現在懂我在講什麼嗎 所以 |
transcript.whisperx[360].start |
10986.428 |
transcript.whisperx[360].end |
11006.17 |
transcript.whisperx[360].text |
他如果不是因為這個樣子而去行駛路肩這當然要罰但本席告訴你的是一種特別的樣態你的設計他就自然而然他一個車輪可能他一半因為他要讓快車道好開嘛所以他就會自然不要塞到人家在塞車大家盡量靠邊停嘛 |
transcript.whisperx[361].start |
11006.69 |
transcript.whisperx[361].end |
11026.116 |
transcript.whisperx[361].text |
那靠邊停前面都靠邊停我一個人難道我要就給他停在外側車道嗎不可能我會跟著前面的車靠邊停所以我靠邊停我的一個輪子可能在路肩甚至大家都停路肩的時候我也會跟著停路肩因為我不可能一個人我就停外側車道 |
transcript.whisperx[362].start |
11028.237 |
transcript.whisperx[362].end |
11051.675 |
transcript.whisperx[362].text |
因為前面整排塞車上來都停路肩嘛那我的意思是說政府站在這些案例上面這些易塞車路段只要一有人檢舉就會導這個不是今天才有的個案嘛就會有人檢舉就會導致民眾他自然而然他就會去車子就會在路肩上面嘛所以他被拍照他就要去 |
transcript.whisperx[363].start |
11052.415 |
transcript.whisperx[363].end |
11075.089 |
transcript.whisperx[363].text |
你就要叫他自己去申訴啊不然他能怎麼樣所以我的意思是說政府不應該去做這種事情啦政府應該要站在人民的立場說如果遇到類似什麼樣的情況 譬如說舉例我剛剛講 譬如說你們曾經做過的有一個路段你們叫動態檢舉就不可以只憑一張照片就你透過影片我就知道你們整排都在排隊嘛 |
transcript.whisperx[364].start |
11076.092 |
transcript.whisperx[364].end |
11094.887 |
transcript.whisperx[364].text |
所以你們要不要跟警察單位來協商說面對這種情況該怎麼執法然後讓以後類似像只要你要檢舉這種狀況你就必須要動態如果你是單張照片的一張照片我就不予受理這個要有一個 |
transcript.whisperx[365].start |
11096.894 |
transcript.whisperx[365].end |
11109.893 |
transcript.whisperx[365].text |
方法跟你們一個解方出來 不然人民就是常常會遇到這種遇到一個人 他就到處在檢舉這個我塞在車陣中 你要我要怎麼做市長你現在懂我的意思嗎 |
transcript.whisperx[366].start |
11111.357 |
transcript.whisperx[366].end |
11132.893 |
transcript.whisperx[366].text |
我想我了解委員剛才講的動態檢舉是我們上一次要檢舉民眾檢舉的時候希望不要單憑一張照片所以才會講到說檢舉的時候希望要有幾張照片來輔助那這裡又提到說這如果是警察自己的檢舉的影帶那其實就是一個video那個是整個整的是連貫的所以我想委員剛才提到的這樣會誤讓民眾這個 |
transcript.whisperx[367].start |
11139.942 |
transcript.whisperx[367].end |
11150.805 |
transcript.whisperx[367].text |
對 沒有錯 剛才司長講說要開放 但是路肩可能就是就是寬度不足的啦我沒有要開放路肩 你為什麼聽不懂來來來 我舉個例子 市長這一台車有沒有違規 |
transcript.whisperx[368].start |
11154.565 |
transcript.whisperx[368].end |
11183.223 |
transcript.whisperx[368].text |
他的輪子 這個是車道喔 這個是路肩啊那塞車的情況 就這一整排都把他移到這個車道來你們的主張是不是這個樣子我沒有要你開放路肩 我再講一次啦為什麼老師聽不懂我在講什麼公路局就已經聽不懂了 換次長講 還是聽不懂我只問你說 如果你現在這台車的司機是你啦請問你 你要停這裡跟整排都停到車子壓到路肩 還是你自己要停在這裡你告訴我這樣就好了 |
transcript.whisperx[369].start |
11184.555 |
transcript.whisperx[369].end |
11207.621 |
transcript.whisperx[369].text |
這個塞車他為什麼會停在這裡 他不是要開路肩啊我也要沒有要你開放路肩嘛我只問你說 人民卡在這個車站當中車子 後面的人檢舉 他就要去想辦法自己去解決啊糟了 你都聽不下去我問你嘛 這次若是你 你要怎麼辦啦這個人就是要檢舉違規 因為他在路肩命令嘛我了解 委員 |
transcript.whisperx[370].start |
11210.143 |
transcript.whisperx[370].end |
11223.015 |
transcript.whisperx[370].text |
這個舉例啦這個我們了解所以我剛才也有講到說相關的這樣的一個情形呢我們會請那個公路主管機關就是我們的私裡頭或者是公路局跟高工局跟警察機關就實務上 |
transcript.whisperx[371].start |
11224.696 |
transcript.whisperx[371].end |
11245.613 |
transcript.whisperx[371].text |
我現在就問你交通部的態度我當然也同意你們這又不是你去開罰單不是你交通部去開罰單嘛但是你是公路的主管機關嘛所以我先問公路的主管機關態度是怎麼樣如果今天警察局署長有來我當然問署長啊那因為現在就你在這裡所以我當然問你嘛你的態度是什麼你要給我知道啊 |
transcript.whisperx[372].start |
11245.993 |
transcript.whisperx[372].end |
11265.368 |
transcript.whisperx[372].text |
外台都其實就是交通部的一貫的態度檢舉 處罰民眾一定不是我們的本意所以在這個處罰上就是講他的合理性 可責性的情況下才會來處罰那所以剛才有特別幾號 這牽涉到實務上的處理我們會跟警察機關討論以後來律定一個 |
transcript.whisperx[373].start |
11268.01 |
transcript.whisperx[373].end |
11292.709 |
transcript.whisperx[373].text |
所以你現在知道交通部是不是能夠理解這個狀況是不是同意說如果遇到這種特殊的情形法院叫做緊急避難交通部是不是同意說來交通部同意說這個特殊情形我們應該對於怎麼來開罰單應該有一個一致性的律定那這一致性的律定交通部同意但 |
transcript.whisperx[374].start |
11293.169 |
transcript.whisperx[374].end |
11314.482 |
transcript.whisperx[374].text |
要跟警察機關來溝通這我們會來跟警察機關這樣對不對 我說的這樣你贊成嗎贊成 贊成市長我只要叫你這樣而已 我也沒辦法來做不是你在開端的嘛但是我要跟你說這個人民很堅固啦我了解啦我們做官就要站在人民的立場如果是換你將心比心換你是這一個現在還要你去上法院所以你自己去申訴 |
transcript.whisperx[375].start |
11316.072 |
transcript.whisperx[375].end |
11340.08 |
transcript.whisperx[375].text |
你不要做市長 你來做人民看你的手氣所以我剛有說我們原則上是不輕易來處罰民眾我剛有說要主張開放路肩對不對 我沒有這個主張啊公路局來給我說明過了 我也同意這是特殊情形嘛我再舉個例子 如果這裡發生車禍民眾剛好前面有車禍 他開過來路肩因為要閃躲這個車禍嘛被遭到 |
transcript.whisperx[376].start |
11346.022 |
transcript.whisperx[376].end |
11371.723 |
transcript.whisperx[376].text |
這個是不是特殊情形但是如果憑一張照片他就可能出現他把車禍現場避掉叫那個人民治癒去想辦法我意思要跟你講的就是說交通部我們的政府官員不可以這樣嘛你那個執法單位你是公路主管機關所以有這麼多的案例民眾的抱怨甚至上法院了我只要求你們有一個態度啦 |
transcript.whisperx[377].start |
11372.591 |
transcript.whisperx[377].end |
11393.932 |
transcript.whisperx[377].text |
不是你們一步步都改觀嘛這要跟執法單位警政署來聯繫嘛但是你有這個態度你就會去做這件事嘛人民的堅固在哪裡站在人民的立場替他們想一想嘛將心比心你自己想如果是你我在這裡拍馬三字經啦那會酸酸到不會酸啦你們懂我在這裡講什麼嗎 |
transcript.whisperx[378].start |
11397.625 |
transcript.whisperx[378].end |
11413.917 |
transcript.whisperx[378].text |
好 市長 現在麻煩你了 好不好時間的關係 我本來兩件啦 是現在沒辦法 只剩下我們說一件而已啦 是下一件就等你們部長來再講好了 好 謝謝好 謝謝委員好 謝謝蔡奇章副院長現在請林俊憲委員執行好 謝謝局長沒事邀請我們交通部的陳市長好 陳政事 |
transcript.whisperx[379].start |
11432.349 |
transcript.whisperx[379].end |
11454.38 |
transcript.whisperx[379].text |
委員好 次長好 次長 是這個孔蓋啊 要下地啦要原則下地啦 例外才不下地啦我給你看幾個地方啦第一個喔 這個是惡名昭彰啦這個在台中啊 台中市啦那100公尺喔 有20幾個孔蓋啦 |
transcript.whisperx[380].start |
11457.094 |
transcript.whisperx[380].end |
11483.53 |
transcript.whisperx[380].text |
這個在台南的仁德啦20公尺有將近10個孔蓋啦這些都是落後的象徵哪一個國家的馬路像台灣這樣好像在打鼓一樣 這樣一塊一塊而且你孔蓋啊 因為它分屬很多單位維護狀況都不一樣雖然我們交通部有訂那個防滑係數 |
transcript.whisperx[381].start |
11485.441 |
transcript.whisperx[381].end |
11509.572 |
transcript.whisperx[381].text |
但是啊 通常馬路鋪好以後啊防滑係數還有路平啊都在驗收那一天合格而已啦車開久了就沒辦法啦如果不是出現高低差啊不平啊 或者孔蓋沒有蓋緊啊要不然就是有防滑係數不足來 我們再看一下會不會發生車禍常常發生車禍啦 |
transcript.whisperx[382].start |
11513.078 |
transcript.whisperx[382].end |
11536.489 |
transcript.whisperx[382].text |
機車騎士 嚇得阿彌陰冒冒 有沒有看到這裡 甚至出過人命這位女騎士很不幸 壓過孔蓋又滑倒 摔死所以家屬 很多用路人都很清楚有孔蓋的地方 就好像地雷如果你沒地方傘 那你要把它騎過去 |
transcript.whisperx[383].start |
11538.106 |
transcript.whisperx[383].end |
11561.785 |
transcript.whisperx[383].text |
你要 你就要小心啦 很可能會被滑倒那汽車也差不多啦 因為如果不平的話你的車這樣壓過去 高高低低這樣彈跳車也快壞了 是不是這樣所以喔 本期 我在上一屆很可惜啦 因為屆期不連續啦 我要修公路法 |
transcript.whisperx[384].start |
11562.691 |
transcript.whisperx[384].end |
11576.635 |
transcript.whisperx[384].text |
我們希望孔蓋要原則下地 例外才不下地那台灣的孔蓋有多可怕 我再給你看一個表社長 這個我記得我也跟你討論過了台電還有將近70萬個孔蓋沒有下地台水有將近50萬個孔蓋 中油還有1500個左右 |
transcript.whisperx[385].start |
11586.249 |
transcript.whisperx[385].end |
11607.261 |
transcript.whisperx[385].text |
中華電信最可怕 有144萬個所以台灣目前的孔蓋 光這四大單位台電 台水 中油 中華電信就有超過260萬個孔蓋我還沒有算瓦斯 我也不算電子電視台 |
transcript.whisperx[386].start |
11609.653 |
transcript.whisperx[386].end |
11616.58 |
transcript.whisperx[386].text |
第四台也會走下面 還有地方上的一些孔蓋 我還沒有計算所以我為什麼要修公路法第一個 台灣的公路大街小巷 還有這麼多的孔蓋兩三百萬個 這個實在是很危險 也是很落後的象徵 |
transcript.whisperx[387].start |
11633.53 |
transcript.whisperx[387].end |
11662.668 |
transcript.whisperx[387].text |
所以我修的法其實也很有彈性第一個原則下地第二個如果你孔蓋的管理單位你覺得你那個地方你不適合或不能下地那你可以列出來彈性給他們所以這個是彼此都有一個彈性他可以列出他無法下地的地方就是說這個範圍他沒有辦法下地這個他可以定 |
transcript.whisperx[388].start |
11663.766 |
transcript.whisperx[388].end |
11686.387 |
transcript.whisperx[388].text |
第三 我也沒有設完成期限說你多久以內幾百萬個孔蓋要全部下地那第三點很重要我有定罰則如果你那個地方孔蓋已經出問題那我請你下地 如果你沒有下地那我們有一些罰則我再請教次長你現在如果 |
transcript.whisperx[389].start |
11687.975 |
transcript.whisperx[389].end |
11703.843 |
transcript.whisperx[389].text |
尤其是機車歧視齁最危險你壓過孔蓋如果你摔倒齁你現在是沒有錢賠你沒有法源依據的孔蓋使用單位從來沒有認輸啦全部你都要去換一格受害人要去法院提告因為我們的沒有母法沒有法則啦那孔蓋使用單位啊沒有一件啊賠給受害者都叫人去收割啦 |
transcript.whisperx[390].start |
11717.768 |
transcript.whisperx[390].end |
11743.69 |
transcript.whisperx[390].text |
都說你騎車不適宜啦你自己會摔倒啦 有的沒的啦所以我其實在上一屆立委任命我就開始修了那我也辦過工電會我也跟很多的使用單位 事業單位有孔蓋的也談過 也跟你交通部談過經濟部所管的啦 台水啦 台電啦大家都同意啦 |
transcript.whisperx[391].start |
11744.755 |
transcript.whisperx[391].end |
11757.311 |
transcript.whisperx[391].text |
交通部有同意啦 台電 台水 中油都同意啦交通部 經濟保管的事 都同意啦中油 台電 台水啦交通部那時候有同意你交通部的態度有改變嗎 |
transcript.whisperx[392].start |
11762.452 |
transcript.whisperx[392].end |
11789.407 |
transcript.whisperx[392].text |
孔蓋夏你來 你回答我想跟委員報告我想有關委員特別提案原則下地啦 例外不下地啦這樣的一個修法剛才在口頭的報告裡頭大概也都有說明原則上我們是尊重對不對 你態度有沒有改變嗎目前沒有改變沒有改變嘛 所以交通部也同意那現在就有一個單位反對啦那中華電信啦最後一列的單位是中華電信他孔蓋最多 |
transcript.whisperx[393].start |
11791.869 |
transcript.whisperx[393].end |
11818.317 |
transcript.whisperx[393].text |
然後每次要碰這個法他就會去遊說國民黨的立委出來反對就是你們 你們的中華電信最惡劣的事業單位它的空間有170幾萬我剛剛統計就144萬個 那不要再看一下借我們資產看一下260萬個沒有下地 是四大單位其中啊 中華電信就140幾萬個了 |
transcript.whisperx[394].start |
11821.548 |
transcript.whisperx[394].end |
11841.636 |
transcript.whisperx[394].text |
中華電信每次都用盡辦法要來阻擋這樣的一個修法方向所以市長我當時就跟各大單位也跟你們交通部溝通過嘛原則下地如果你例外你管理使用單位覺得你們無法下地你可以定範圍你可以定出來 |
transcript.whisperx[395].start |
11843.359 |
transcript.whisperx[395].end |
11865.049 |
transcript.whisperx[395].text |
對不對 第二個 我也沒有完成期限 說你多久要完成這已經是很彈性的一個做法第三 當然你有罰則嘛 這是保護人民最卑微的一個請求嘛人家經過要補充 如果造勢原因是你口蓋的問題現在是不賠 因為他沒有法源根據啊 你知道嗎 |
transcript.whisperx[396].start |
11868.038 |
transcript.whisperx[396].end |
11897.086 |
transcript.whisperx[396].text |
所以如果就算你造勢原因是因為孔蓋 路不平孔蓋防滑係數不足可憐的受害者也要去提告啦 你要去告國賠啦因為啊 法律不規定喔 這要賠錢啊我們現在比較重啦 你使用單位 如果我已經叫你我已經通知你那個地方要下地 或者要改善啊你如果沒有 我現在定一個法則這是最基本的保護用路人 |
transcript.whisperx[397].start |
11899.592 |
transcript.whisperx[397].end |
11904.052 |
transcript.whisperx[397].text |
這是不是我們要責任的對不對你知道他們不會支持我的消防嗎 |
transcript.whisperx[398].start |
11905.797 |
transcript.whisperx[398].end |
11934.803 |
transcript.whisperx[398].text |
在進入諸條討論的時候來表達支持的態度是好謝謝市長我再跟市長提醒經濟部管的單位都同意經濟部也同意經濟部管的事業單位都同意就只有你交通部我跟委員報告中華電信最惡劣中華電信我們只是最大股東那個主管機關NCC但是我們恐慨最多我們會來轉達請他們來重視這個最反對最惡劣每次要修法出來遊說的那今天遊說國民黨的立委出來反對 |
transcript.whisperx[399].start |
11935.819 |
transcript.whisperx[399].end |
11960.509 |
transcript.whisperx[399].text |
我們會來轉達是好謝謝市長謝謝林進憲委員現在請習富奎委員執行謝謝主席尤其我們政次好陳政次還有我們公路局陳局長公路局陳局長 |
transcript.whisperx[400].start |
11964.318 |
transcript.whisperx[400].end |
11990.291 |
transcript.whisperx[400].text |
委員好鄭次跟局長午安好我想我們過去我們這個我們許多的公路都有栽種了許多漂亮的樹那每逢這個開花的時候這個每步生長但是我們也發現這個許多樹是遇到這個颱風的時候就這樣支離破碎狀況很嚴重也造成很多的一個交通的問題那所以我想 |
transcript.whisperx[401].start |
11991.84 |
transcript.whisperx[401].end |
12005.837 |
transcript.whisperx[401].text |
本席這次特別提出我們這個公路法第32條一個修正草案那我想我們過去從去年我們有三個颱風侵襲全台分別是凱米、酸土耳跟康納都造成了這個全台2000到3000 |
transcript.whisperx[402].start |
12007.919 |
transcript.whisperx[402].end |
12034.256 |
transcript.whisperx[402].text |
起了一個路數交通的一個問題那除了這個造成路數倒塌之外那更嚴重其阻礙我們的交通那所以我想本席特別提出公路局應該在我們整個公路的系統裡面要重視可以重視水土保持甚至是我們的原生樹種的一個提案那避免這個外來種這個無法抵擋這個風災的侵襲市長交通部會不會支持本席的提案 |
transcript.whisperx[403].start |
12035.836 |
transcript.whisperx[403].end |
12057.752 |
transcript.whisperx[403].text |
像我們知識委員的這樣的提案而且有關使用原生樹種這也是公路局或者是高工局我們其實整個交通部來講大概都是一個這樣的一個方向在走而且相關的我剛才特別提到不管是公路局或高工局他們大概都有相關的一個規範來規範如何使用這個道路的行道樹 |
transcript.whisperx[404].start |
12058.893 |
transcript.whisperx[404].end |
12085.628 |
transcript.whisperx[404].text |
我想這不是只是為了保護我們的生態那同時我覺得也是對我們整個這個城市美觀這個綠化的一個很重要的一個因素我們這個有時候開花季節看到這個很漂亮的漆黑那麼新款的生意是不是會比較好所以我們還是希望這個交通部能夠盡快這個能夠去檢討這樣一個機制那也透過這樣一個修法的程序那我們希望能夠盡快來落實 |
transcript.whisperx[405].start |
12087.079 |
transcript.whisperx[405].end |
12087.843 |
transcript.whisperx[405].text |
那第二個問題我想 |
transcript.whisperx[406].start |
12089.878 |
transcript.whisperx[406].end |
12117.318 |
transcript.whisperx[406].text |
人本交通推動的部分我想這是我們大家一起共同努力的一個方向但是遺憾的是根據民意調查人本交通的政策在我們民間的知曉度真的還是很偏低我們好不容易推動的政策只有目前我們掌握到一個狀況是大概不到一成的民眾知道內容甚至高達八成不知道這個內容 |
transcript.whisperx[407].start |
12118.615 |
transcript.whisperx[407].end |
12132.05 |
transcript.whisperx[407].text |
那所以正是我們交通部在這個媒體宣傳甚至在很多這個偏鄉的這個整開資訊比較不發達的狀況之下我想我們應該要怎麼樣去強化這樣的一個好的一個政策我們有沒有什麼改進的空間 |
transcript.whisperx[408].start |
12136.375 |
transcript.whisperx[408].end |
12152.68 |
transcript.whisperx[408].text |
跟委員報告我想人本交通可能是對一般民眾來講的確可能是比較少知道這個名字但事實上我們改善行人的安全的空間其實我們的做法我相信民眾應當是了解的 |
transcript.whisperx[409].start |
12153.2 |
transcript.whisperx[409].end |
12171.712 |
transcript.whisperx[409].text |
那未來我們會跟內政部國土署就針對這個人本交通內涵透過各種場合來加強宣導當然很重要的就是說可以在不同的管道我們可以加強行人安全的改善的一個作為跟政策的一個宣導 |
transcript.whisperx[410].start |
12173.306 |
transcript.whisperx[410].end |
12190.635 |
transcript.whisperx[410].text |
市長我比較遺憾的看法是這樣子因為我們現在很多鄉鎮都在做人本環境的改善標誌標線畫得很漂亮中間任性也做得很漂亮但是 |
transcript.whisperx[411].start |
12192.865 |
transcript.whisperx[411].end |
12206.19 |
transcript.whisperx[411].text |
並好像沒有得到太多的掌聲我講的就是這個不只住戶反對甚至連這個路人 用路人也搞不清楚要怎麼去使用這樣一個100分的這個人性環境這到底問題出在哪裡 |
transcript.whisperx[412].start |
12208.218 |
transcript.whisperx[412].end |
12231.76 |
transcript.whisperx[412].text |
我想跟委員報告所有的這個人本的或永續提升行人交通安全的這個方案裡頭其實一個重要的一個環節就是要在地溝通所有的這個因為你不管是線也好或區域的改善都是跟在地的民眾會息息相關所以在相關的這個改善的這個規範裡面SOP裡面大概都有 |
transcript.whisperx[413].start |
12232.52 |
transcript.whisperx[413].end |
12252.77 |
transcript.whisperx[413].text |
一個環節是希望要跟地方溝通唯有在地方溝通獲得共識下那樣的一個改善才會有成效但是這一點我贊成但是我聽到的我們只是為了否這個公聽會的程序把它跑完至於通知了誰誰沒有通知完全都沒有掌握了所以很多 |
transcript.whisperx[414].start |
12253.57 |
transcript.whisperx[414].end |
12271.268 |
transcript.whisperx[414].text |
等到做好之後才跑來這個跟我們服務處陳情的也很多啦所以我認為溝通上面真的不能只是做交代一定要落實尤其是他們在那裡住了幾十名人你們都沒有興趣找他們他們當然是怨聲載道嘛這部分真的是要去要求這個部分啦 |
transcript.whisperx[415].start |
12272.169 |
transcript.whisperx[415].end |
12291.657 |
transcript.whisperx[415].text |
我想我們公路的部分 省道的部分公路局局長在這裡我想回去他應該會交代那至於國土署的部分我們也透過這個陸正道案室來做跟國土署進一步的溝通甚至前陣子我在街道恆春一個案件我們把一個人行步道做了一個沒站到的地方那什麼人在走 整個在走真的很離譜啦 |
transcript.whisperx[416].start |
12292.91 |
transcript.whisperx[416].end |
12307.739 |
transcript.whisperx[416].text |
我不能為了要要搭乘績效去做這樣的一個規劃這個真的很離譜啦來檢討是好那另外我想我們這個這個月5號有修正了一個違反道交條例的一個裁罰基準那調高了 |
transcript.whisperx[417].start |
12308.599 |
transcript.whisperx[417].end |
12335.655 |
transcript.whisperx[417].text |
罰款部分是一萬八到三萬六那預計六月底要上路但是我們從警政署調閱了相關的資料一百一十二年到一百一十三年我們未停讓輕人的件數雖然從十四萬降到十一萬但死亡人數從五十四人增加到八十四人受傷人數從四千六百多人提升到五千一百多人那這次提高罰款就可以減輕民眾的傷亡嗎 |
transcript.whisperx[418].start |
12339.973 |
transcript.whisperx[418].end |
12368.569 |
transcript.whisperx[418].text |
這個部分我跟委員報告一下這次這一個就是說調整這個裁判基準的部分是針對在人行道上面就是已經造成這個行人的這個傷亡的這個部分並沒有去針對一般違規的部分去做這個調整那另外有關於行人的部分的話我印象中這個應該是在這個月的這個記者會大概也就是說一到三月的部分行人已經 |
transcript.whisperx[419].start |
12370.663 |
transcript.whisperx[419].end |
12395.188 |
transcript.whisperx[419].text |
我們三十死亡行人部分一到二月已經比去年同期有減少我們都支持這樣的一個好的一個修法啦但是就是我講的我認為你們宣傳的力道還是不夠啦尤其針對我們鄉下真的資訊傳達比較慢的地方應該用不一樣的手段啦比方一套標準齁在都會可以進而通整坑齁撒不走啦真的是差很多啦 |
transcript.whisperx[420].start |
12396.068 |
transcript.whisperx[420].end |
12421.516 |
transcript.whisperx[420].text |
應該用不一樣的策略 尤其我之前提過了 像我們有關懷據點你們應該結合我們的社會處或是我們在地的警察局去關懷據點 到這個東北市去選團嘛這才是我們的受眾啊我覺得應該是要強化這些的部分啦好 謝謝 我們也有相關的陸老師也大概有這個 我們來看怎麼樣再來進一步的看如何結合啦對啊 我是覺得要把你們那個宣傳的那個 |
transcript.whisperx[421].start |
12424.489 |
transcript.whisperx[421].end |
12449.434 |
transcript.whisperx[421].text |
那我想最後一個問題就是針對我們這個未成年的一個肇事的一個問題那我想過去這個每10萬人裡面死傷人數從400多個變600多個成長了4成那所以這個未成年的這個考照的問題還有甚至這個道安獎席跟罰款的問題那我想這部分是不是交通部應該有更精進的一個策略來處理 |
transcript.whisperx[422].start |
12452.757 |
transcript.whisperx[422].end |
12481.01 |
transcript.whisperx[422].text |
我想那個有關無照駕駛的部分我們有相關的一個修法來希望能夠來看能不能降低這種無照駕駛的情形當然這個尤其是未成年的無照駕駛其實它分很多面向一個是社會的面向一個是教育的面向所以還有家庭所以我原則上我們現在會透過道安委會的年度師導希望教育部有這樣的就能列管相關的這個無照駕駛的這個小朋友 |
transcript.whisperx[423].start |
12481.61 |
transcript.whisperx[423].end |
12503.724 |
transcript.whisperx[423].text |
然後能夠透過剛才講的那樣的一個幾個環節一起來防範他繼續的無照駕駛我想這個是大概是我們目前正在努力的一個方向這次那有沒有可能才建議是一個考照制度這樣部分來輔導這些年輕人或是怎麼樣做一個合理的管控這個是開放 |
transcript.whisperx[424].start |
12505.88 |
transcript.whisperx[424].end |
12524.934 |
transcript.whisperx[424].text |
比如說我們有可以限制夜間行駛 我想委員講的這個漸進式的考上大概就是很多人的建議希望就是有的是直接建議是考上年齡能夠降低有的是希望有所謂的出學者駕照或是在這裡講的學習駕駛證其實我們現在也有那整個來看的話其實這個還要大家再進一步的一個討論剛才其實有委員也指教過 |
transcript.whisperx[425].start |
12533.72 |
transcript.whisperx[425].end |
12557.15 |
transcript.whisperx[425].text |
那最主要的話我們現在其實尤其是這種無照駕駛大概就是比較喜歡開機車我們其實現在有微型電動二輪車我們的了解也有一些高中的教官或學校也針對這個來鼓勵小朋友能夠來騎乘青年朋友來騎乘這個然後也把他納入管理所以我想可以透過這樣的方式來避免他們繼續採用無照的方式來騎乘機車 |
transcript.whisperx[426].start |
12558.55 |
transcript.whisperx[426].end |
12579.466 |
transcript.whisperx[426].text |
對啦 但是我們還是希望這個未成年人這個事情我們還是要希望能夠嚴格來看待畢竟我們也不希望這個因為過去我們自己有很多的同學就是未成年的時候站到桌子上都是人真的也是蠻多人所以我們還是期待說這一個政策的部分能夠去跨部會來整合一下看看怎麼樣去防堵這樣一個 |
transcript.whisperx[427].start |
12580.507 |
transcript.whisperx[427].end |
12595.684 |
transcript.whisperx[427].text |
一個政策要實施其實還有要跟地方政府還有跟教育主管機關大家共同因為那個牽涉到學生的安全事項可能不是一個單一的一個交通的面向可以考慮的要整體還有司法的面向也都要一併納入最後那個 |
transcript.whisperx[428].start |
12596.505 |
transcript.whisperx[428].end |
12615.534 |
transcript.whisperx[428].text |
公務局陳局長我們明明要實施遊覽車駕駛識別的一個功能設備的一個裝車嘛那這不會因為我們這邊還是有接到一些反彈的意見那甚至認為這個是不是很好的一個政策那這個我們早時間會再請你們來做說明一下這個檢討一下這個功能性的必要謝謝謝謝習副委員請陳樹蔚委員執行 |
transcript.whisperx[429].start |
12634.879 |
transcript.whisperx[429].end |
12636.426 |
transcript.whisperx[429].text |
謝謝主席 請主席邀請次長 |
transcript.whisperx[430].start |
12643.269 |
transcript.whisperx[430].end |
12671.404 |
transcript.whisperx[430].text |
委員好 次長早安就是平常本席在地方經常會遇到民眾反映就是其實就是常常接到民眾反映說我們的這個汽車燃料費為什麼不改由這個水油徵收或者是說隨這個工程里程來徵收這樣子比較公平因為有的人的車子他可能使用的頻率不高可能只有假日 |
transcript.whisperx[431].start |
12671.904 |
transcript.whisperx[431].end |
12685.023 |
transcript.whisperx[431].text |
也許是只有假日才來使用所以他們認為說如果按照這樣子的就是目前的隨車徵收的話對於使用頻率比較低的車主來說比較不公平那這個議題其實在過去 |
transcript.whisperx[432].start |
12688.287 |
transcript.whisperx[432].end |
12702.557 |
transcript.whisperx[432].text |
我也曾經提過案也質詢過不過當然我們江部都有就是自愛難行的一個部分那我們也看到這個育年所在108年的時候也有針對這個氣燃費徵收做一個研究報告結論也是說維持隨車徵收那現在就是說因為隨著這個時間的推移108年到現在也又過了8年也快 |
transcript.whisperx[433].start |
12718.229 |
transcript.whisperx[433].end |
12726.882 |
transcript.whisperx[433].text |
又快了好幾年了嘛六七年了所以就是說經過這樣子的一個時間時空的轉移我們對這個部分有沒有新的想法 |
transcript.whisperx[434].start |
12730.82 |
transcript.whisperx[434].end |
12751.941 |
transcript.whisperx[434].text |
我想跟委員報告,有關如何徵收的方式,也是剛才陳主委員講的,這其實在歷好幾年了,不是歷年,大概大家都一直在提,從以前的隨車到隨郵,甚至有人提到說按里程、按重量等等的都有, |
transcript.whisperx[435].start |
12752.501 |
transcript.whisperx[435].end |
12770.696 |
transcript.whisperx[435].text |
那其實這樣的一個議題就是因為不管是採用哪一個方式來徵收都有他的優點跟他的缺點那整體上的考量還是第一個要考慮公平那另外一個是徵收的一個整個成本也好或者整個的收入也好因為 |
transcript.whisperx[436].start |
12771.977 |
transcript.whisperx[436].end |
12787.529 |
transcript.whisperx[436].text |
進來以後要里程要來做養護的工作或修建的工作那另外是民眾的可負擔心所以整體上來看目前是還是朝向的既有的這個隨車徵收的方式但是我們也聽到的大家各界的一個建議尤其是電動車輛引進以後 |
transcript.whisperx[437].start |
12789.21 |
transcript.whisperx[437].end |
12807.812 |
transcript.whisperx[437].text |
所以目前我們也正為請這個運營所做相關的研究我們希望能夠再繼續一個觀察一下或者是了解一下世界各國隨著這樣的近鄰的議題以後或者是隨著科技的進步以後是不是有什麼樣一個徵收的方式因為這樣的一個徵收方式不是只有我們 |
transcript.whisperx[438].start |
12808.633 |
transcript.whisperx[438].end |
12824.265 |
transcript.whisperx[438].text |
才有其實各國也都有有在實行而且我們看到各國實施上多數也是採用隨車徵收的一個方式所以目前才是用這樣的方式繼續在徵收以上是好那今天就是委員會針對這個公路法第27條 |
transcript.whisperx[439].start |
12825.606 |
transcript.whisperx[439].end |
12840.451 |
transcript.whisperx[439].text |
就是有委員提案這個進行詢問那當然就是我們也認為說如果說我們沒有辦法將汽車燃料使用費改由水有徵收的話可能跟我們目前的第27條的這個 |
transcript.whisperx[440].start |
12842.611 |
transcript.whisperx[440].end |
12870.341 |
transcript.whisperx[440].text |
條文的就是說這一個項目的名稱跟目的是不符合的所以就主張說這個條文裡面就是說公路主管機關為了公路養護及修建安全管理所需費用得徵收汽車燃料使用費所以為了讓民使相輔所以也建議不如就是將這樣子的一個徵收的一個項目名稱更正為公路養護修建及安全管理費 |
transcript.whisperx[441].start |
12871.542 |
transcript.whisperx[441].end |
12875.711 |
transcript.whisperx[441].text |
那這樣子修訂我們教務部這邊的意見跟態度是如何 |
transcript.whisperx[442].start |
12876.876 |
transcript.whisperx[442].end |
12898.351 |
transcript.whisperx[442].text |
這樣的一個方向我們贊同至於說文字是不是要這麼長是需要這麼多字我想到我們主條再討論的時候我們再來大家再來討論如果改成這樣子的一個項目名稱的話當然就是可以涵蓋未來可能就是要徵收的電動車這種車種如果說用汽車燃料使用費汽燃費的話可能就徵收不到電動車會排除非使用汽油的車種 |
transcript.whisperx[443].start |
12906.677 |
transcript.whisperx[443].end |
12918.995 |
transcript.whisperx[443].text |
所以這樣子也是又有公平性的問題那當然這個部分就是有待大家的一個討論跟共識那再來就是有關這個新車平等的這個計畫的問題 |
transcript.whisperx[444].start |
12922.199 |
transcript.whisperx[444].end |
12930.51 |
transcript.whisperx[444].text |
我們知道就是交通部為了推動就是評估新車的安全性所以我們也在張濱有興建了這個測試中心那時候在落成的時候由蘇貞昌院長主持本席也有去參與那這個目的主要就是說要透過 |
transcript.whisperx[445].start |
12940.363 |
transcript.whisperx[445].end |
12944.668 |
transcript.whisperx[445].text |
獨立的第三方機構對市售車輛進行試驗並將這個試驗的數據轉換成新等評級然後提供民眾易於理解在選購車輛的時候對這個車輛的安全性的資訊能夠有比較充分的一個了解跟掌握 |
transcript.whisperx[446].start |
12959.625 |
transcript.whisperx[446].end |
12976.35 |
transcript.whisperx[446].text |
我覺得這個很好我們也很肯定那當然就是說這個也是涉及到預算的問題那這個等一下我再來詢問那我先想了解一下目前我們這一個成立之後我們所進行的測試目前為止大概完成了多少量 |
transcript.whisperx[447].start |
12978.669 |
transcript.whisperx[447].end |
12999.733 |
transcript.whisperx[447].text |
跟委員報告一下大概目標都是每年8台那去年有做到8台嗎好像沒有去年6台去年才6台因為去年的預算有稍微這個結局一點然後今年就恢復這個8台然後包括這個車廠自費來申請這個測試的到目前已經完成18個車型 |
transcript.whisperx[448].start |
13006.514 |
transcript.whisperx[448].end |
13010.577 |
transcript.whisperx[448].text |
16個車型是包含車廠 車商自費的那在這些完成就是測驗的車輛裡面有包括電動車嗎有 特斯拉大概應該是完成這兩型了 |
transcript.whisperx[449].start |
13028.041 |
transcript.whisperx[449].end |
13045.354 |
transcript.whisperx[449].text |
完成兩行嘛 因為本席看到的資料裡面就是我們TN-CAP目前已經試驗完成的兩台這個電動車就是包括這個Model 3跟Model Y 是不是這個完成的時間好像都是最近才完成 去年跟今年 |
transcript.whisperx[450].start |
13045.814 |
transcript.whisperx[450].end |
13072.988 |
transcript.whisperx[450].text |
去年跟今年那因為我們也關注到就是說其實在電動車逐漸讓駕駛人能夠接受使用之後我們也陸續看到好幾件這個車禍的事故那包括就是在這個是在國外發生的有2021年12月在巴黎發生的一件就是Model 3的這個車型的一個 |
transcript.whisperx[451].start |
13073.988 |
transcript.whisperx[451].end |
13089.293 |
transcript.whisperx[451].text |
撞擊之後發生的火燒車事件包括2024年9月20號這是在國內新竹發生的也是撞了護欄之後起火燃燒然後2024年10月份是在加拿大 |
transcript.whisperx[452].start |
13090.313 |
transcript.whisperx[452].end |
13104.828 |
transcript.whisperx[452].text |
的多輪作發生的也是Model Y失控撞傷忽然之後起火還有包括今年1月25號國道1號陽梅休息站的這是也是電動車撞擊之後起火造成44傷 |
transcript.whisperx[453].start |
13106.61 |
transcript.whisperx[453].end |
13132.119 |
transcript.whisperx[453].text |
因為這樣子的一個電動車的撞擊失火的這樣的事故事實上在基層我也聽到很多民眾的一個疑慮那當然就是我們也看到說對照目前我們TNCAP所做的這個測試我們也當然很高興有看到這樣的測試可是要怎樣讓消費者對這個有信心是不是可以請次長講一下 |
transcript.whisperx[454].start |
13134.332 |
transcript.whisperx[454].end |
13155.485 |
transcript.whisperx[454].text |
跟委員報告現在這個2050金融碳排這個電動車這個讓民眾有信心對他這個安全這個值得信賴這個是最重要的一個課題那所以就是說針對這個我想針對電動小客車的部分剛剛委員所提到這個TN CAP那個是一個更高標準的要求 |
transcript.whisperx[455].start |
13156.005 |
transcript.whisperx[455].end |
13184.804 |
transcript.whisperx[455].text |
然後在這個車輛在做這個法規符合性車輛安全檢測基準的一個這一個檢測的時候剛剛市長也有提到針對這個電動車的安全性台灣跟歐盟跟日本一樣都是調合聯合國UNR100的這個法規進來那這個R100的一個法規就包括整車的電氣這個防護功能還有包括電池本身的部分都要去做這個 |
transcript.whisperx[456].start |
13186.886 |
transcript.whisperx[456].end |
13209.745 |
transcript.whisperx[456].text |
這個碰撞那其實我也這個我想說這個也不是打這個廣告像特斯拉這個部分的話在車輛安全這個就要上市銷售這個火線已經撞過一次了然後在這個去年跟前年的這個TNCAP的部分的話也在做這個實際碰撞那基本上大概這個都沒有發生爆炸起火這樣子的情況 |
transcript.whisperx[457].start |
13211.308 |
transcript.whisperx[457].end |
13220.042 |
transcript.whisperx[457].text |
剛剛有提到說TN CAP是比較高的標準那一般就是在市面上銷售的也是都會符合這樣子的標準嗎 |
transcript.whisperx[458].start |
13224.474 |
transcript.whisperx[458].end |
13243.468 |
transcript.whisperx[458].text |
要正面碰撞就是要做實車碰撞然後側撞也要用這個台車再做一次碰撞那電池都基本上都在車底下面所以這樣子一撞那個會不會滲漏然後甚至這個靜置完之後會不會起火這個都是在法規的要求裡面 |
transcript.whisperx[459].start |
13244.068 |
transcript.whisperx[459].end |
13260.862 |
transcript.whisperx[459].text |
是好我想這個也是民眾非常關心的這個就是電動車的一個安全性的問題然後那我們也當然希望就是說讓這樣的資訊也要讓國人能夠充分的能夠知道這樣子好謝謝我們加強宣導是謝謝陳樹業委員請何欣淳委員執行 |
transcript.whisperx[460].start |
13274.131 |
transcript.whisperx[460].end |
13278.274 |
transcript.whisperx[460].text |
首先今天有關公路法我有提修法的版本有修兩個條文我剛剛在法案說明的時候我還是再強調一次 |
transcript.whisperx[461].start |
13300.852 |
transcript.whisperx[461].end |
13315.578 |
transcript.whisperx[461].text |
第一個是希望有關營業的大型車輛如果未來造勢能夠保障我們受害者及其家屬配偶等的權益因為我們接受過太多的懲罰 |
transcript.whisperx[462].start |
13316.678 |
transcript.whisperx[462].end |
13340.468 |
transcript.whisperx[462].text |
如果說呢這個營業車輛肇事致人於死或重傷的時候通常因為呢營業車輛都是挖行挖行呢那這個業者呢到底會不會有脫產之嫌以逃避他未來的這個賠償責任我想這個是我們今天為什麼要修修這個法案的其中一個重點我不希望說受害人已經是這麼的怎麼辦受害人已經 |
transcript.whisperx[463].start |
13344.19 |
transcript.whisperx[463].end |
13363.464 |
transcript.whisperx[463].text |
遭受到生命的一個安全上的一個威脅甚至失去了生命他的家屬跟配偶跟受害人本身還得不到應有的公道及賠償的權益受保障我覺得這個很重要雖然我聽到你的回答是說這個可能在這個所謂的主動通知的一個時效問題我不知道次長說的意思是什麼 |
transcript.whisperx[464].start |
13367.947 |
transcript.whisperx[464].end |
13394.07 |
transcript.whisperx[464].text |
你另外又提到說現在本來就在做了所以不一定要透過修法我希望這個你是不是書面資料再回給我好不好第二個有關你認為可以同意的部分是在於這個有關我們交通的設施的這個行政單位要進入去檢測或者維修的時候巡查的時候要真的是有土地地主的同意這個雙括號的這個通知你是同意的嘛對不對是我們同意對好 |
transcript.whisperx[465].start |
13395.231 |
transcript.whisperx[465].end |
13409.123 |
transcript.whisperx[465].text |
那我希望記得先把我剛剛說的書面報告在一個禮拜之內給我你們現行如何做那如果不用透過修法就可以做那可以如何更精進我想要知道我也請公務局檢討如何更主動來通知 |
transcript.whisperx[466].start |
13412.366 |
transcript.whisperx[466].end |
13430.905 |
transcript.whisperx[466].text |
那接著 其他很多委員曾經關心過這個高領的一個交通設施跟環境安全的問題我注意到現象 我之前想要質詢 但是時間上來不及但是我又在今天整理了一下次長你知道我們現在全台灣的交通死亡事故 |
transcript.whisperx[467].start |
13432.126 |
transcript.whisperx[467].end |
13460.062 |
transcript.whisperx[467].text |
差不多差不多一半是高齡者以你們的這個所謂的道安總動員裡面114年1到2月的道路的交通事故的統計那高齡者的死亡呢211人那如果以跟去年的同期比較起來的話是微幅的死傷是增加的死傷是增加的那這個部分 |
transcript.whisperx[468].start |
13461.508 |
transcript.whisperx[468].end |
13480.175 |
transcript.whisperx[468].text |
市長你有注意到這個現象嗎這個我們長期有發現是有這個問題長期發現有這個問題嘛對不對好那全台的交通死亡死傷事故近半以上是這個高齡又有在增加那我們就必須要思考台灣現在即將邁入超高齡的社會 |
transcript.whisperx[469].start |
13481.515 |
transcript.whisperx[469].end |
13500.7 |
transcript.whisperx[469].text |
我們將近有20%以上會是高齡者我們的交通的環境 設施設備如何能夠守護長者的安全我覺得這很重要我們現在在講說要去除掉行人地獄的污名化但是我們同時也要兼顧在 |
transcript.whisperx[470].start |
13501.84 |
transcript.whisperx[470].end |
13524.437 |
transcript.whisperx[470].text |
不管是我們一直主張的要維護學童的行人安全或者是一般人的一個重大路口的行人的交通安全那長者的部分我覺得更是要去第一個在政策上還有在我們的執行面上還有我們的法規制度面上還有你們的一個設置標準上應該要把高齡 |
transcript.whisperx[471].start |
13525.898 |
transcript.whisperx[471].end |
13546.232 |
transcript.whisperx[471].text |
的這個觀點跟他們的交通使用習慣要納入考慮所以第一個在駕駛偏上面我們現在雖然要做高齡駕駛的換照制度但是呢曾經監察院糾正沒有全面實施管理只做半套所以呢我們有其他委員也出面來呼籲第一個 |
transcript.whisperx[472].start |
13547.911 |
transcript.whisperx[472].end |
13561.838 |
transcript.whisperx[472].text |
邁入超高齡社會我們如何保障高齡者的移動權以及兼顧他們的安全這個真的是刻不容緩的議題所以我們呼籲政府嚴明階段性的換照政策是不是應該要再更精進 |
transcript.whisperx[473].start |
13562.918 |
transcript.whisperx[473].end |
13588.5 |
transcript.whisperx[473].text |
第二個推動高齡者的再訓練課程的補助讓更多的高齡者的駕駛人他是可以透過教育再訓練適合他們的一個教育訓練的內容裡面讓他們能夠精進更保障自己安全跟行人的安全第二個交通網絡的配套措施的規劃尤其公共運輸系統如何友善高齡者 |
transcript.whisperx[474].start |
13590.444 |
transcript.whisperx[474].end |
13599.717 |
transcript.whisperx[474].text |
最後這些通通要做到才是強化我們高齡者移動權的保障對不對市長這您應該同意吧 |
transcript.whisperx[475].start |
13601.089 |
transcript.whisperx[475].end |
13626.226 |
transcript.whisperx[475].text |
有很多的項目其實我們目前就是正想辦法在研議中譬如說換照制度是不是公務局我的了解他們也在想說現在是75歲以上那是不是可以再下修等等的那甚至像這個訓練要補助啦或者是很多的我們也發現很多的高齡者他其實是無照的那無照的如何輔導他去考照那是不是也能夠像機車 |
transcript.whisperx[476].start |
13628.227 |
transcript.whisperx[476].end |
13643.545 |
transcript.whisperx[476].text |
現在機車的駕駛人有補助的方式那後面講到說以移動權的這部分高齡者的移動權我想我們也是我們屬於公共運輸重要的一部分對 公共運輸裡面如何友善高齡者嘛 是是幸福巴士在推動的一個方向或是剛才講的通用計程車我是呼籲交通部確實要去研議一下啦 |
transcript.whisperx[477].start |
13646.408 |
transcript.whisperx[477].end |
13661.675 |
transcript.whisperx[477].text |
那這些都要做那除了駕駛偏跟公共運輸環境再來就是行人我們在談論行人我跟次長講一個數字台中的行人死亡事故大概有六成是長者 |
transcript.whisperx[478].start |
13663.136 |
transcript.whisperx[478].end |
13674.909 |
transcript.whisperx[478].text |
這個不是我說的這是他們台中市政府這個交通局表示的所以呢他們認為呢因為他們有拋出到這個數據他們要第一個要精準塔級要宣導道安觀念那這個剛好跟 |
transcript.whisperx[479].start |
13677.532 |
transcript.whisperx[479].end |
13700.708 |
transcript.whisperx[479].text |
陳士凱部長在去年9月的時候也講到我們今年的目標要7%那7%的死亡率裡面我們呢這個要降低那首重的是要鎖定長者來做宣導可是到了今天我們看到2025的5月我們這個台中的這個交通局還表示行人死亡裡面有6成是長者這個宣導到底有沒有用啊 次長 |
transcript.whisperx[480].start |
13707.559 |
transcript.whisperx[480].end |
13726.606 |
transcript.whisperx[480].text |
這個對老人的宣導確實是有他的一個困難度因為老人有他自己的想法所以如何來讓這個市長你不會這樣說市長你不會這樣說不是長者有他自己的想法所以你覺得困難是你們宣導的方式到底有沒有到位你這一句話會讓人家 |
transcript.whisperx[481].start |
13729.762 |
transcript.whisperx[481].end |
13747.596 |
transcript.whisperx[481].text |
覺得質疑喔不是質疑,我跟委員講,我是講自己心生的感受我們爸爸,我要跟他說,我做次長要跟他說就很困難了我要說的是這個啦,我沒有實在講說,我們沒有,我是在講說對於老人的一個宣導,確實我們要再加把勁啦我是想要強調,只是我有一個疑惑 |
transcript.whisperx[482].start |
13749.457 |
transcript.whisperx[482].end |
13765.147 |
transcript.whisperx[482].text |
所以我們在這個對老人來講的話有所謂陸老師的宣導等等的結合林里長這樣的方式來做處理市長不要站在你們交通部的角度跟立場想說我只要去灌輸他們觀念 |
transcript.whisperx[483].start |
13766.528 |
transcript.whisperx[483].end |
13787.703 |
transcript.whisperx[483].text |
那能不能反向思考說我們如果把這個專業知識或是跟道安的相關的知識融入在生活當中用長者的角度他們聽得懂的角度他們能夠接受的角度去做宣導啦我們現在要精準改善嘛對不對我們現在陸老師在宣導其實都是採用這種方式在而不是教條式的我們教你怎麼怎麼 |
transcript.whisperx[484].start |
13789.404 |
transcript.whisperx[484].end |
13804.218 |
transcript.whisperx[484].text |
是透過他們自己相互之間形成一個類似像所以預算上我們支持嘛所以我知道在審預算的時候有其他委員對這一項預算是有意見的但是呢預算上我們都願意支持但是你要做好 |
transcript.whisperx[485].start |
13805.439 |
transcript.whisperx[485].end |
13827.916 |
transcript.whisperx[485].text |
做的成效如何我希望下一次我可以聽到比較精準的一個回答告訴我們這個對長者的宣導到底有沒有做到位那這個成效如何啦我希望看到的是不要再告訴我說在死亡人數裡面有餘六成是這個長者我也不要再看到說在道安總動員裡面的資訊告訴我們 |
transcript.whisperx[486].start |
13830.598 |
transcript.whisperx[486].end |
13846.411 |
transcript.whisperx[486].text |
原來說要宣導結果我們今年還是長者的這個死傷率是爬升的我覺得這個最重要的是要提醒拜託交通部相關單位對長者的交通的一個環境配套措施跟 |
transcript.whisperx[487].start |
13847.412 |
transcript.whisperx[487].end |
13864.907 |
transcript.whisperx[487].text |
一些該做的我們能夠做到位啦我接著要跟你講說除了宣導之外還有是你們現在可以做的就是行人的友善措施嘛第一個我們部長有宣示說要行人專用實相跟行人早開實相等等這個很好 |
transcript.whisperx[488].start |
13867.182 |
transcript.whisperx[488].end |
13892.845 |
transcript.whisperx[488].text |
以在交通部的建議裡面我爬梳到了你們是優先評估行人學童高齡者較多的入口來施行嘛那這個高齡者怎麼依據這個有媒體說在高齡社會裡面的紅燈到底該開幾秒是要等長輩還是逼他們走快一點這是一句這一句話就是體驗了我們現在在各大入口裡面看到長者 |
transcript.whisperx[489].start |
13895.885 |
transcript.whisperx[489].end |
13909.696 |
transcript.whisperx[489].text |
他過紅綠燈過那個路口的一個秒數到底能不能讓他們安全的過馬路如何讓長者安全的過馬路就是降低他們的死傷的機率嘛對不對 次長你同意嗎 |
transcript.whisperx[490].start |
13911.854 |
transcript.whisperx[490].end |
13931.203 |
transcript.whisperx[490].text |
我想跟委員報告這個因為路口啊或者標就是號誌要幾秒這還牽涉到路口多寬啊所以呢原則上呢路口如果太寬的話現在都會有庇護島的方式來設計希望就是說這個這個那另外呢我的了解我們也有宣導也有告訴 |
transcript.whisperx[491].start |
13933.024 |
transcript.whisperx[491].end |
13944.072 |
transcript.whisperx[491].text |
這個長者就說他大概依他現在的步伐大概幾秒的時候適合通過那如果在幾秒內他可能會過不去我們現在看到的這個在這個標誌標線然後自設制規則裡面還沒有看到長者的啦這個是你們要去再精進的啦 |
transcript.whisperx[492].start |
13952.438 |
transcript.whisperx[492].end |
13957.043 |
transcript.whisperx[492].text |
是不是我覺得這很重要啊你再來研議看看啦好不好我覺得這是用大數據或者是用我們的交通專業還有跟相關的老人長者團體大家一起研議可以去做出來看看 |
transcript.whisperx[493].start |
13970.258 |
transcript.whisperx[493].end |
13973.281 |
transcript.whisperx[493].text |
這個部分演繹 最後再給我10秒鐘我認為還有一件事是可以做的AI偵測 我們現在都在講AI AI數位那AI偵測事實上這個智慧路標也好或是路口的一個智慧監測也好現在是技術是OK的 |
transcript.whisperx[494].start |
13988.317 |
transcript.whisperx[494].end |
14013.348 |
transcript.whisperx[494].text |
那也有部分縣市的一些重大入口正在試辦試行那我們為什麼用這個也來可以第一個友善學童友善行人更應該友善高齡者我們長輩的行人那這個我認為提醒交通部也可以納入評估來看看能不能試行那如果試行成功的話可不可以擴大辦理啊 |
transcript.whisperx[495].start |
14015.35 |
transcript.whisperx[495].end |
14028.259 |
transcript.whisperx[495].text |
報告這樣的一個用導入AI來確保相關的交通安全的這樣的一個政策是部裡頭的一個政策所以現在我的了解不只是這裡頭提到的 |
transcript.whisperx[496].start |
14030.7 |
transcript.whisperx[496].end |
14045.13 |
transcript.whisperx[496].text |
台中像桃園等等台中桃園嘉義我現在爬出了一下都有在示範都有在示範就是說我們現在是在入口有這個智慧監測我的建議是包括行人專用的實相在入口裡面的一個智慧監測我們也可以運用 |
transcript.whisperx[497].start |
14047.752 |
transcript.whisperx[497].end |
14076.785 |
transcript.whisperx[497].text |
那人多的時候秒數要拉長或者是老人家他需要比較大的路口老人家走路他可能需要比較長的這個秒數那我們如果透過智慧監測AI的監測可以幫忙我們所有的行人都安全好不好這個我們可以來來研議看看來評估好不好以上謝謝謝謝何新淳委員請廖先祥委員執行 |
transcript.whisperx[498].start |
14086.015 |
transcript.whisperx[498].end |
14090.037 |
transcript.whisperx[498].text |
有關我提的停車場法 簡單說明一下如果說在充電樁有插在車上的情況下因為有時候你要去判斷是他有沒有在充電他有一些技術上的問題或故障問題 |
transcript.whisperx[499].start |
14111.388 |
transcript.whisperx[499].end |
14137.148 |
transcript.whisperx[499].text |
就算沒有在充電你要移置其實你也移置不了因為插著的時候一般來說我們充電樁的這個充電孔它都有卡榫你沒有你除非你用轉接頭不然的話它是拔不出來的所以說我希望後續的一些討論能夠聚焦在沒有在插充電這個插頭的情況下這樣子很明確違規的情況下不管是油車或電車的違規情況下那可不可以移置我也是主動通報希望後續針對這點討論那我今天想跟市長討論一下這個 |
transcript.whisperx[500].start |
14141.131 |
transcript.whisperx[500].end |
14162.814 |
transcript.whisperx[500].text |
罰單的部分交通違規罰單的部分交通違規罰單如果說我們民眾收到罰單都會有寫申訴的機制要嘛跟地方政府的交通事件裁決處處所或者是監理單位來做申訴我想確認一下我們這兩個單位在收到了之後他們大概都是會怎麼樣的來做後續的SOP |
transcript.whisperx[501].start |
14166.92 |
transcript.whisperx[501].end |
14184.859 |
transcript.whisperx[501].text |
根本報告如果說這個是違規人那跟這個大案處罰機關做這個申訴的話那針對他這個就是說申訴的這個室友的部分或是說相關認為說有疑慮的事項的部分的話那原則上處罰機關大概就會正式函請這個舉發機關來查復做說明 |
transcript.whisperx[502].start |
14187.801 |
transcript.whisperx[502].end |
14194.666 |
transcript.whisperx[502].text |
對 我遇到大部分的情況都是就先函請給舉發機關做說明但一般來說舉發機關如果說認定違規是事實的話那我們這個裁決機關或監理單位他原則上都會尊重這個舉發機關那如果是這樣子的一個狀態的話我不曉得我們的裁決機關它到底存在的意義是什麼 |
transcript.whisperx[503].start |
14209.457 |
transcript.whisperx[503].end |
14218.382 |
transcript.whisperx[503].text |
如果說他不會我們期待的監理機關他應該會是一個一個拔光的一個機制如果說我們的舉發單位他對於法條的認知有誤解或者是對違規形態的有所判斷錯誤的話我們的裁決機關他應該是要有一個撤銷的一個功能吧就是他要去做一個裁判的功能他應該要有吧但實務上我們這樣遇到一般來說都是這個舉發機關怎麼說裁決機關就怎麼做這樣子 |
transcript.whisperx[504].start |
14240.041 |
transcript.whisperx[504].end |
14265.249 |
transcript.whisperx[504].text |
這個部分我大概跟委員我們再報告一下大概就是說針對這個陳警事項如果說是屬於市政的部分的話大概就會比較尊重這個舉發機關的查護那如果說是屬於適用條款的適當性的部分那如果說舉發機關很明顯他這樣子的一個這個違規行為所這個援引的條款是這個不得已的話那運作上這個舉發機關那個處罰機關 |
transcript.whisperx[505].start |
14268.63 |
transcript.whisperx[505].end |
14296.623 |
transcript.whisperx[505].text |
就會請舉發機關去變更適用的這個這個條款那如果說在本身這個裁決包括這個就是說處罰機關或原舉發機關如果認為說這樣子的違規行為適用處罰條例哪一個條款有疑慮等等的部分的話大概會有兩個管道第一個部分的話警察機關的部分大概會循著檢診系統到這個檢診署那檢診署如果認為說需要報部來示意的話就會有檢診署這邊報部來做 |
transcript.whisperx[506].start |
14298.464 |
transcript.whisperx[506].end |
14298.664 |
transcript.whisperx[506].text |
這個當然有現行的一個機制在 |
transcript.whisperx[507].start |
14322.699 |
transcript.whisperx[507].end |
14342.379 |
transcript.whisperx[507].text |
但是我為什麼會注意到這個問題就是我應該有些同仁知道我這過去一年來有還蠻關注在打方向燈這件事情上面什麼情況下要打什麼情況不用打那很多民眾檢舉就是檢舉民眾打方向燈當然變換車道就不用講就是穿越入口的一個形態那我遇到的問題是警察機關受理了 |
transcript.whisperx[508].start |
14343.2 |
transcript.whisperx[508].end |
14366.173 |
transcript.whisperx[508].text |
那警察認為違規他舉發了然後民眾申訴認為我應該不用打然後當然就跟這個裁決機關去做申訴裁決機關他也就尊重警察機關然後維持原判到最後我把這個交通部的解釋函就是一些相關的釋函給警察單位去了解方向燈到底怎麼打的時候警察單位才去測單那就變成說我們好像 |
transcript.whisperx[509].start |
14369.746 |
transcript.whisperx[509].end |
14393.306 |
transcript.whisperx[509].text |
我們照理來說開罰單應該適合兩個民眾檢舉有兩個把關機制嘛一個是受理機關警察機關第二個就是我們的裁決機關結果我們兩個裁決機關好像都沒有人就是在我講的這個案例就是打方向燈的事情上面好像兩個單位都對於這個法例的適用都有所誤解那導致這個罰單開出去那申訴也都不會過那我可不可以請就是單就 |
transcript.whisperx[510].start |
14395.448 |
transcript.whisperx[510].end |
14406.594 |
transcript.whisperx[510].text |
這個部分當然一部分是教育訓練一部分是執法同仁的教育訓練一部分是我們自己監理機關跟這個裁決處的一個教育訓練如果說警察誤解法令的時候我們的這個裁決機關應該要去糾正我們的同仁那有了糾正過了那之後警察知道因為警察要管的事情太多他不會對每一條法令都很熟悉應該是我們交通單位對法令最熟悉那我們有相關的一個撤銷罰單之後 |
transcript.whisperx[511].start |
14421.561 |
transcript.whisperx[511].end |
14443.333 |
transcript.whisperx[511].text |
那警察單位也會知道未來這個形態可能有違規或沒有違規嘛這才是一個可能系統性的一個檢討那短期間內啦短期間內我們那個警政署也一起上來好不好組長短期間內因為我近期雖然說我對這個打方向燈這件事情有做了很多的討論那警政署也有幫我發行給各地的警察機關針對打方向燈這件事情去教育同仁 |
transcript.whisperx[512].start |
14443.493 |
transcript.whisperx[512].end |
14464.161 |
transcript.whisperx[512].text |
但是還是有很多錯誤的罰單開出來我可不可以請我們的裁決機關或者是我們的舉發機關你們可不可以針對打方向燈的這個沒有打方向燈誤開的罰單去做一個通盤性的一個檢視我相信一年絕對有上千萬的一個違規的罰金是誤開的 |
transcript.whisperx[513].start |
14465.862 |
transcript.whisperx[513].end |
14493.321 |
transcript.whisperx[513].text |
你們那個警政署你這邊可不可以因為我最近還 你應該知道我講的這個我們常常討論這個東西嘛你們可不可以請某一個分怎麼樣來檢視過去錯誤的開的罰單因為很多民眾都沒有檢舉 都沒有申訴啊那個開沒有方向 沒有開方向燈喔這個大部分都是民眾檢舉違規的人啦對那剛剛委員所指的不是真的誤開的部分就是懂人對於法令不了解所開出來的這些罰單你們有沒有辦法通盤性的去檢討 |
transcript.whisperx[514].start |
14496.304 |
transcript.whisperx[514].end |
14513.552 |
transcript.whisperx[514].text |
這些單子我們可以整個調出來看看總共一年開了多少單子然後看看是不是比較有疑慮的我們再去檢視那個畫面好 我也不要造成警察同仁太大的負擔我一個請託啦你看他們做不做得到就是針對可能 |
transcript.whisperx[515].start |
14514.272 |
transcript.whisperx[515].end |
14529.612 |
transcript.whisperx[515].text |
今年1月1號開始到現在為止當然時間你們如果說認為太長的話你們可以提個題就這段時間針對未打方向燈被開罰單的部分可不可以請我們的警察同仁去檢視有多少是誤開的 |
transcript.whisperx[516].start |
14531.788 |
transcript.whisperx[516].end |
14549.64 |
transcript.whisperx[516].text |
這個部分我們回去從1月1號開始重新檢視這個回去我們對我們調出來再研究一下看看好那當然在檢視的前提下是要先讓我們的警察同仁對於打方向燈這件事情有一個正確的一個認知那不必要重新的教育宣導那另外我們的這個裁決機關至少我們公路局 |
transcript.whisperx[517].start |
14550.6 |
transcript.whisperx[517].end |
14578.688 |
transcript.whisperx[517].text |
我們是監理單位嘛我們可不可以針對所有民眾這個申訴的一個部分有關要不要打方向燈申訴的部分也從今年1月1號開始重新檢視看有多少是誤開的罰單那我們再給予主動的撤銷是 沒有問題我們會整個挑檔然後就整個陳情或者是那個舉發的這個太陽如果是跟原來布裡面的函式有不一致那需要撤銷的部分我們來處理好 那這個時間要需要多久 |
transcript.whisperx[518].start |
14582.025 |
transcript.whisperx[518].end |
14607.436 |
transcript.whisperx[518].text |
好 這個部分我們局原則上因為是非六都以外的監理站那我們自己可以一個月一個月嘛 對對對那警察 警政署這邊咧我們這邊也給一個月好嗎一個月 好 那就一個月好 謝謝 謝謝我們所有同仁 謝謝主席謝謝廖先祥委員請喜智傑召委執勤 |
transcript.whisperx[519].start |
14616.906 |
transcript.whisperx[519].end |
14626.556 |
transcript.whisperx[519].text |
好 謝謝主席 我們請次長好 請陳正事委員好 |
transcript.whisperx[520].start |
14628.027 |
transcript.whisperx[520].end |
14644.245 |
transcript.whisperx[520].text |
市長那個前瞻基礎建設改善停車問題的計畫現在用完了嗎經費目前的經費我的了解應該是已經執行完畢了已經執行完畢了應該是分配完畢了分配完畢那 |
transcript.whisperx[521].start |
14647.749 |
transcript.whisperx[521].end |
14672.165 |
transcript.whisperx[521].text |
還沒有交通部在邊境會在處理各縣市的停車問題我想跟委員報告一下有關這個停車的問題我想我們也了解委員很關心而且還有很多委員很關心所以我們大概做兩個方向在處理第一個是有關這個停車場的是因為要補助所以他有一個建設計畫那個要修正我們目前正在修正中 |
transcript.whisperx[522].start |
14672.725 |
transcript.whisperx[522].end |
14696.972 |
transcript.whisperx[522].text |
那另外一個是他這個要有相關的裁員因為已經分配完了嘛所以那個正在爭取相關的一個裁員那我的了解我們應該是放在前瞻的預算裡面前瞻新一期的前瞻就是在新一期的前瞻那經費有沒有說大概多少錢有沒有預估 |
transcript.whisperx[523].start |
14697.552 |
transcript.whisperx[523].end |
14709.204 |
transcript.whisperx[523].text |
我們大概原則上是60億但是最後是多少還是要看整個行政院的核心106年到114年總經費260億那您的60億是幾年我們是後續的4年4年的計畫後續的4年 |
transcript.whisperx[524].start |
14719.682 |
transcript.whisperx[524].end |
14746.688 |
transcript.whisperx[524].text |
因為畢竟停車問題當然委員也了解它是很重要但是它還是屬於地方事務所以原則上如果有相關的預算還是要整體預算來看所以先編列60億然後後續如果有不足我們再看怎麼樣來我是建議就是大家多考量我舉個例子現在騎樓停車檢舉是不是在全國都有很多這種案件 |
transcript.whisperx[525].start |
14748.7 |
transcript.whisperx[525].end |
14772.231 |
transcript.whisperx[525].text |
對不對那你知道這個造成地方多大的困擾嗎很像地方也都有相關的一個全國各縣市都有啦那就是停車很多民眾跟我們反映你停車空間給我我就不需要停了啊現在就停車空間真的不足 |
transcript.whisperx[526].start |
14773.979 |
transcript.whisperx[526].end |
14796.901 |
transcript.whisperx[526].text |
那停車空間不足的情況之下七樓停車記得當時應該是上個會期我曾經提過我們交通部也曾經有過那個給各縣市供地方政府的公文就是地方政府自行斟酌所以等於我們交通部把這個問題丟到地方政府 |
transcript.whisperx[527].start |
14798.632 |
transcript.whisperx[527].end |
14822.692 |
transcript.whisperx[527].text |
建議地方政府要預留多少因為想要行人的一個空間現在地方政府就是大部分都沒有確定我記得當時鄭文燦市長在桃園的時候曾經有說可以預留1.5米給機車停位但是汽車也是沒有所以全國可能都沒有任何地方政府說汽車可以停 |
transcript.whisperx[528].start |
14826.318 |
transcript.whisperx[528].end |
14848.41 |
transcript.whisperx[528].text |
騎樓這個目前是這個政策應該是困難對不對因為行人入權的關係我也知道我們必須重視行人入權但是呢你今天如果是六米巷六米巷騎樓不能停都會停到它的門口嘛兩輛車停在門口六米巷剩下幾米那你垃圾車過得去嗎 |
transcript.whisperx[529].start |
14854.175 |
transcript.whisperx[529].end |
14868.4 |
transcript.whisperx[529].text |
萬一有火災的時候救火車過得去嗎如果萬一有這種情況發生交通部會不會覺得如果因此而有人傷亡那交通部會不會心裡覺得痛呢 |
transcript.whisperx[530].start |
14871.139 |
transcript.whisperx[530].end |
14895.192 |
transcript.whisperx[530].text |
當然啦這個有關停車比較狹窄的這個巷道是那個但是有關那個太早的巷道如何讓這個救護車消防車經過但是你現在沒有相關的規範你現在的規範就是騎樓不能停嘛對多少米以下是不可以現在就是不行嘛現在就是我說的像六米道路啦 |
transcript.whisperx[531].start |
14896.328 |
transcript.whisperx[531].end |
14907.647 |
transcript.whisperx[531].text |
很明顯你就是不能停那你停在門口很明顯垃圾車救火車就是過不了像這種情況你覺得怎麼處理比較好 |
transcript.whisperx[532].start |
14910.861 |
transcript.whisperx[532].end |
14938.373 |
transcript.whisperx[532].text |
這分兩個啦就是說在那裡頭沒辦法停車的話確實是要找我們解決問題比較重要啦市長覺得應該怎麼樣可以解決這個問題像剛才特別提到的停車的問題就是停車空間要想辦法在這個附近去找停車空間嘛對啊你就是沒有位置讓我停啊各縣市各地區恐怕就是說你通通要停到我足夠的停車空間差不多都不夠嘛 |
transcript.whisperx[533].start |
14939.692 |
transcript.whisperx[533].end |
14960.441 |
transcript.whisperx[533].text |
那也是不可能的啦 其實這是整體交通政策啦還有另外一個是車輛的使用啦你停車公圈不夠讓我停 不是我不愛停我門口 騎樓不能停 因為現在路線我也要走我停在門口 不是停在騎樓裡面 兩台車停的六尾行過不過 |
transcript.whisperx[534].start |
14966.394 |
transcript.whisperx[534].end |
14982.331 |
transcript.whisperx[534].text |
我覺得我是這樣建議啦 其實交通部可以研議 在我的看法可以參考當然行人路權我們一定是非常的重視但是你現在六米行 六米行要走到你家的七樓 他們說機會沒大 |
transcript.whisperx[535].start |
14988.325 |
transcript.whisperx[535].end |
15013.542 |
transcript.whisperx[535].text |
所以六米巷有沒有可能江東部演繹一下不然你就留一米的寬度讓你停讓行人可以走然後呢你勉強停在因為現在我說的就是我們講是務實啦理想我們當然都懂啊一百趴騎樓不能停一百趴救護車救火車要可以過一百趴停車空位停車空間要夠 |
transcript.whisperx[536].start |
15018.767 |
transcript.whisperx[536].end |
15027.898 |
transcript.whisperx[536].text |
這個都是理想嘛那在理想的社會沒有辦法達到的時候我們務實的處理是不是交通部可以做一個研議跟思考 |
transcript.whisperx[537].start |
15031.755 |
transcript.whisperx[537].end |
15058.596 |
transcript.whisperx[537].text |
跟委員報告像這樣的一個也牽涉到那個那個道路空間的一個使用啦那個可能更多 比較簡單就是都沒人要搭啦我跟妳講喔 國土署那個啦 因為那個我們也希望局長可以思考一下這個問題就是說我們站在國家的角度這個問題到底要怎麼解決這個不是我今天在這邊提只是許智傑的問題我跟各位報告專國國管制 |
transcript.whisperx[538].start |
15060.454 |
transcript.whisperx[538].end |
15085.633 |
transcript.whisperx[538].text |
檢舉案件不斷市民不堪其擾我剛提過我要合法停車你沒有辦法給我我停在7樓一定會被開單我再舉個例子檢舉單人也很聰明現在警察如果去是開勸導單檢舉單人一到的時候說我可以告你吃案 |
transcript.whisperx[539].start |
15092.23 |
transcript.whisperx[539].end |
15121.019 |
transcript.whisperx[539].text |
好現在沒有人可以處理這件事情你們研議一下啦我現在我知道這個問題很頭痛全國的人民很多人因為這樣被開單的很頭痛那如果有沒有什麼務實的彈性的做法可以解決這個問題我的意思就是說比如說我在六米巷的騎樓停車 |
transcript.whisperx[540].start |
15122.932 |
transcript.whisperx[540].end |
15138.998 |
transcript.whisperx[540].text |
你只要留下一米可以讓行人通行那勉強我可以讓你停進去不開單那這樣子救火車救護車垃圾車可以通過有沒有這種可能 |
transcript.whisperx[541].start |
15142.914 |
transcript.whisperx[541].end |
15168.01 |
transcript.whisperx[541].text |
這個建議我想我們再跟國土署來討論一下因為那個相關的這個問題可能要全面性去考慮啦我是建議我們真的是替百姓做一下思考我說的全國受這種困擾的百姓最沒有 幾百萬最沒有問題啦我不知道多少 我沒有統計量啦但是真的是 |
transcript.whisperx[542].start |
15169.332 |
transcript.whisperx[542].end |
15196.892 |
transcript.whisperx[542].text |
交通局說檢察局會處理,檢察局說我們會盡量勸導然後有時候,經濟達人會說,我可以叫你吃然後呢,當然就不得不開單我六、七天聽到我們門口的七樓,半夜兩點我來給他開單我也是要告知啦啊我說的就是說,我們苦民所苦,我們去想一個到底有沒有一個比較務實的解套的辦法 |
transcript.whisperx[543].start |
15198.038 |
transcript.whisperx[543].end |
15203.307 |
transcript.whisperx[543].text |
我沒有做到一百分 但是我這樣做有可能九十分 八十分大家可以接受的範圍有一個 |
transcript.whisperx[544].start |
15206.349 |
transcript.whisperx[544].end |
15232.26 |
transcript.whisperx[544].text |
這個就是兩個極端取其中庸嘛那怎麼樣找到一個中庸的方法質量用中是不是請交通部想一下然後跟地方政府溝通一下可以解決很多百姓的問題我們會同這個內政部跟相關地方政府大家來討論一下希望您就是交通部重視這件事情給人民一個解決的辦法好不好我們來努力看看 |
transcript.whisperx[545].start |
15233.7 |
transcript.whisperx[545].end |
15233.92 |
transcript.whisperx[545].text |
請邱若驊委員執行 |
transcript.whisperx[546].start |
15260.336 |
transcript.whisperx[546].end |
15277.697 |
transcript.whisperx[546].text |
好謝謝主席主席我們請交通部陳好交通部陳正次委員好市長好市長本期今天有準備兩段影片我們先請市長一併來做觀看那第一段影片 |
transcript.whisperx[547].start |
15290.233 |
transcript.whisperx[547].end |
15310.522 |
transcript.whisperx[547].text |
好 接著第二段影片暫時找車位 發現路旁有一格繞回去要停 卻發現有人站在格子裡背心男揮手示意 現在說不能停 肩架是切過來 瞬間拳頭進窩 |
transcript.whisperx[548].start |
15312.023 |
transcript.whisperx[548].end |
15327.556 |
transcript.whisperx[548].text |
市長第一段影片呢是去年1月8日發生在高雄的人肉站車位的事件那第二段是在也是去年5月7號也同樣發生在高雄那請問市長這樣的以人身佔據公共停車格的行為您認為合不合理 |
transcript.whisperx[549].start |
15329.266 |
transcript.whisperx[549].end |
15342.275 |
transcript.whisperx[549].text |
那個暫居停車位用這種方式應該不是很恰當那同仁給我的相關是說處罰條例有相關的法條可以做出那我們目前可以依據哪一條法規對這樣的行為做出開罰你們要是這個條文嗎 |
transcript.whisperx[550].start |
15351.146 |
transcript.whisperx[550].end |
15353.268 |
transcript.whisperx[550].text |
那個警政署那個陳組長陳組長來你上來幫忙一下陳組長警政署陳組長 |
transcript.whisperx[551].start |
15374.94 |
transcript.whisperx[551].end |
15399.733 |
transcript.whisperx[551].text |
我先確認一下好不好我請你證書沒關係次長因為時間的關係我們現在目前沒有法可針對這樣的行為作出開罰那也只有道交條例第78條第一項第4款那與交通平凡之道路或是鐵路平交道附近任意奔跑追逐嬉戲或是坐臥蹲立然後然後足以影響到交通他才會處罰500元那再請問再請問次長一個問題喔那如果車位違規停車他的罰款金額範圍是多少錢 |
transcript.whisperx[552].start |
15405.915 |
transcript.whisperx[552].end |
15425.306 |
transcript.whisperx[552].text |
違規停車600到1200600到1200那還有並排停車是2400嘛那市長還有並排停車是2400那我這邊本期想要請問市長那你們發現以人身霸占公共車位他只罰500塊那這樣子民眾在這樣的邏輯下他會認為兩害相權取其輕然後他覺得500塊跟被罰1200比起來 |
transcript.whisperx[553].start |
15432.389 |
transcript.whisperx[553].end |
15460.166 |
transcript.whisperx[553].text |
這個舉證又那麼困難 所以這樣的情形不斷在發生那交通部可以做出什麼樣的積極作為來改變這樣的現象呢你要不要講一下委員 我認為如果是警察有報案的話 警察會到場處理是 那您提到的是有報的情況下那在難以舉證的情況 因為通常民眾報案那警察到現場 他們早就已經離開現場了那這樣子要怎麼來做 再做開罰呢 |
transcript.whisperx[554].start |
15461.463 |
transcript.whisperx[554].end |
15475.699 |
transcript.whisperx[554].text |
如果警察到 他沒離開 警察可能用設置法來處理但是他如果看到警察來就拔掉你說的是沒有離開的情況下嗎對那很多情況是他們報案 可是他們已經離開現場了那這樣怎麼來做開罰請針對本行的問題作答 謝謝 |
transcript.whisperx[555].start |
15486.425 |
transcript.whisperx[555].end |
15497.297 |
transcript.whisperx[555].text |
佔用車位的人 那個被佔用的人當然可以投訴如果他舉證 他要怎麼投訴人都已經沒有在現場了他是提供影片嗎 你們要開罰車組是嗎 |
transcript.whisperx[556].start |
15499.495 |
transcript.whisperx[556].end |
15527.798 |
transcript.whisperx[556].text |
所有的這個都要有事實啊你如果說違規事實沒辦法提出來就是說要相關的處罰我們現在看到的問題是他人肉戰車位他的處罰他不具嚇阻力那再加上舉發也困難所以交通部是不是要來演繹就是來針對民定的收證方式還有授權警方來做處理交通部可以做這樣子可以做這樣子可以再演繹嗎 |
transcript.whisperx[557].start |
15528.567 |
transcript.whisperx[557].end |
15551.563 |
transcript.whisperx[557].text |
我跟委員報告一下這個原則上如果說是屬於這個違反大陸交通管理事件的這個舉發第一個部分一定是有這個違規的事實嗎那第二個部分剛剛委員所謂講的授權舉發的部分是說那我們看到影片他確實有違規的事實啊就是說開放讓民眾檢舉是不是那目前有沒有開放給民眾做檢舉這條沒有 這條沒有 |
transcript.whisperx[558].start |
15554.15 |
transcript.whisperx[558].end |
15572.891 |
transcript.whisperx[558].text |
是不是可以納入56條的處罰的架構來做來做開罰的民眾檢舉的部分如果是真的要有車要有車牌號碼跟那個如果是人的那個部分的話我想這個這個實務執法上面像在56條這些相關違規停車的部分基本上不管是警察執法 |
transcript.whisperx[559].start |
15573.191 |
transcript.whisperx[559].end |
15588.686 |
transcript.whisperx[559].text |
因為我們剛才看到這兩段影片它不是經過它是有目的性的預留車位然後佔據這些車位然後再讓就是開車的人可以順利停進這個車位那這樣已經不單純是妨礙交通了它也是借行人之名行違規之 停車違規之詞 |
transcript.whisperx[560].start |
15589.927 |
transcript.whisperx[560].end |
15618.221 |
transcript.whisperx[560].text |
難道我們沒有法規委員這樣的一個行為是不是在處罰條例裡頭來處罰這可能要稍微探究一下因為剛才委員特別提到的像這兩個滑環的這個額度的比較一個是違規停車另外一個是比較偏向於佔用行人的去佔用那個那剛才又特別提到說這個可能又跟社會秩序是有關的我們提到違規停車是因為它現在有明確的開罰它是 |
transcript.whisperx[561].start |
15619.561 |
transcript.whisperx[561].end |
15633.689 |
transcript.whisperx[561].text |
600到1200可是針對人肉占據車位我們沒有法可以來做開罰所以我講說開罰是不是要開第一個是不是要開罰是不是要用什麼樣的法條來開罰這個其實不是要討論的不是說罰拿來當處罰可以來然後我們不做任何的處理嗎 |
transcript.whisperx[562].start |
15643.77 |
transcript.whisperx[562].end |
15655.079 |
transcript.whisperx[562].text |
對 所以我剛才特別提到說這樣的一個行為到底是要什麼樣的用什麼法條來處罰這個我想我們再跟警政庫來討論我們是不是可以用56條來做開罰呢 |
transcript.whisperx[563].start |
15657.608 |
transcript.whisperx[563].end |
15677.286 |
transcript.whisperx[563].text |
因為56條裡頭是一些違規行為是汽車違規停車的行為因為最後還是車輛停到停車格那我們是不是可以針對車主來做開罰所以那個車子他停進去他並沒有違反這些相關的規定是那一個占用的行為那前提也是因為比如說他們的親友先去占據車位了 |
transcript.whisperx[564].start |
15679.029 |
transcript.whisperx[564].end |
15694.843 |
transcript.whisperx[564].text |
我要跟委員 這樣的一個是不是可罰性 要怎麼罰這個可能要再討論一下所以這部分我跟委員報告一下我們想我們再跟警政署來討論現行的相關的這個法條用什麼樣的方式來做處理是比較恰當的OK 好 謝謝市長好 謝謝謝謝邱若驊委員 |
transcript.whisperx[565].start |
15718.305 |
transcript.whisperx[565].end |
15722.468 |
transcript.whisperx[565].text |
好 接著我們請林國成委員質詢好 請林國成召委好 謝謝主席 請我們陳正次還有林市長 黃市長請黃市長委員好好 市長還有市長 |
transcript.whisperx[566].start |
15743.188 |
transcript.whisperx[566].end |
15766.253 |
transcript.whisperx[566].text |
我想因為今天本院同仁也執行非常之多也就是我今天要來探討的就是通用計程車這個問題這個問題當然因為我看次長報告跟司長報告也就是保持現有的這些條文 |
transcript.whisperx[567].start |
15767.495 |
transcript.whisperx[567].end |
15786.474 |
transcript.whisperx[567].text |
那當然因為在本席的看法也就是通用計程車這個言義良善但是跟事實有所出入的時候我們就不得不要研究如何來應對好 接下來 |
transcript.whisperx[568].start |
15790.036 |
transcript.whisperx[568].end |
15816.385 |
transcript.whisperx[568].text |
這個當然城鄉差異很重要其實在六都裡面我認為沒有問題尤其台北市也完全沒有問題但是問題是出在城鄉偏遠的地方就會形成差異之非常大也就是六都適用法條不見得就適用城鄉差距的縣市 |
transcript.whisperx[569].start |
15817.974 |
transcript.whisperx[569].end |
15841.573 |
transcript.whisperx[569].text |
這點 我想 林市長你也同意這種看法市長 你也同意這種看法嗎同意喔 好我說實在的 來 接著下一張好這個啊 老人比例比啊 我要拜託市長跟兩位市長要稍微看一下聯名最高的縣市 就包括 |
transcript.whisperx[570].start |
15842.657 |
transcript.whisperx[570].end |
15870.904 |
transcript.whisperx[570].text |
苗栗也就是嘉義縣是第一台北市是第二南投是第三我們再來看一看到現在的車輛比的情況之下第一個沒有的地方南投還有連江還有苗栗那這些為什麼沒有那沒有就是你這些通用計程車這些政策 |
transcript.whisperx[571].start |
15871.943 |
transcript.whisperx[571].end |
15880.924 |
transcript.whisperx[571].text |
一 不露實二 為什麼沒有但是它又存在一個問題像嘉義縣它又全省 |
transcript.whisperx[572].start |
15882.148 |
transcript.whisperx[572].end |
15904.593 |
transcript.whisperx[572].text |
人口比例最高的地方可是他的通用計程車的比例來看都集中在六都吧都集中在六都所以我為什麼剛剛就會跟兩位我們次長跟兩位司長要去做探討的有些法令是適用 |
transcript.whisperx[573].start |
15905.433 |
transcript.whisperx[573].end |
15931.562 |
transcript.whisperx[573].text |
六都的有些偏遠地區你根本沒有用可是依照法令來講你們也沒有錯可是問題確確實實這些縣市的車輛為什麼他人他人口比例高可是為什麼他又分不到所以這個問題是值得市長跟市長去做這些通盤考量 |
transcript.whisperx[574].start |
15932.142 |
transcript.whisperx[574].end |
15957.856 |
transcript.whisperx[574].text |
所以你在做這個報告的時候你說保持原來的36條之一的不動那當然因為以現在情況看起來六都沒有問題啊這法令是適用的啊可是偏嚴的縣市是不適用的啊那要不要在這個部分要來加應該要如何去處理 下一張 |
transcript.whisperx[575].start |
15960.339 |
transcript.whisperx[575].end |
15989.498 |
transcript.whisperx[575].text |
所以啊我在想這是你們補助這是你們的政策那為什麼老人比例高的地方他為什麼得不到你們這些關愛這是對人家這個偏鄉的這些不公平的啊所以法令不足的地方法令不適用的地方要不要去修改把它加入複合這些縣市所需要的東西 |
transcript.whisperx[576].start |
15991.38 |
transcript.whisperx[576].end |
16007.979 |
transcript.whisperx[576].text |
市長我聽聽你的意見剛剛委員所提示的方向真的都蠻正確的確實就是說對於通用計程車基本上也是交通部推動的重點 |
transcript.whisperx[577].start |
16009.881 |
transcript.whisperx[577].end |
16037.343 |
transcript.whisperx[577].text |
對於高齡化的一個社會基本上就是通用計程車要來搭配這一個富岡巴士跟長照車輛把它重圍成一體來服務這些高齡的一個這個長輩那剛剛委員提到就是說有些縣市像這個南投雲林等等的部分其實這個縣市最重要的部分就是說如何讓地方政府帶領著這一個車行有意願來申請通用計程車那剛剛委員也提到一個重點因為確實這個 |
transcript.whisperx[578].start |
16039.604 |
transcript.whisperx[578].end |
16064.478 |
transcript.whisperx[578].text |
全台灣9萬多輛的計程車除了六都之外其實在其他縣市的一個這個數量相當相當的數量不會像六都這麼多那另外一個部分就是客源的一個客體啦所以我跟委員這個報告說重點就是在如何這個跟地方還有車廠這個合作有人願意來扮演這樣子的角色所以部裡面今年4月1號就把 |
transcript.whisperx[579].start |
16065.058 |
transcript.whisperx[579].end |
16086.572 |
transcript.whisperx[579].text |
這些以往就是說按趟這個一次補助50塊這樣定額的部分重新做檢討你的等待時間空時旅程像在縣市這個地方他可能這個車輛數不多但是空時旅程可能必須要從北港跑到哪邊那空時旅程這個部分都納入這個就是補助就是希望就是說 |
transcript.whisperx[580].start |
16087.432 |
transcript.whisperx[580].end |
16104.686 |
transcript.whisperx[580].text |
你通用計程車所提供的比一般計程車所需要付出去的成本這個部分其他部分都來補助通用計程車的數量基本上一定要搭配縣市的這個復康巴士共同整體來做考量 |
transcript.whisperx[581].start |
16105.807 |
transcript.whisperx[581].end |
16119.599 |
transcript.whisperx[581].text |
市長還有政事因為我常主張部長跟政事是在管政策但是這些法規研究可以凸顯一個問題也就是很多法令是適用六都 |
transcript.whisperx[582].start |
16121.481 |
transcript.whisperx[582].end |
16137.018 |
transcript.whisperx[582].text |
確確實實在整個偏鄉的地方真正需要的你們的法令是沒有把它涵蓋所以我要的就是林市長跟黃市長這裡你們兩師是最重要所以法令該檢討的該鼓勵的 |
transcript.whisperx[583].start |
16138.78 |
transcript.whisperx[583].end |
16156.592 |
transcript.whisperx[583].text |
你們既然有這個政策但是你們就拿了這個法令其他你們就不管那就會浪費你們補助他去做通用這些殘障也好啊或者弱勢團體老人家等等這個政策就只做三分之一啊 |
transcript.whisperx[584].start |
16157.432 |
transcript.whisperx[584].end |
16180.211 |
transcript.whisperx[584].text |
真正需要的人做不到 可是不需要的人 你們偏偏要去做那你如果要這樣 像台北市最多啊 500多輛啊可是問題 台北市財力是最好的那為什麼會佔用這些補助 你們都補助有錢人窮人你不去協調 不去補助就代表你的政策是不落實的 |
transcript.whisperx[585].start |
16181.552 |
transcript.whisperx[585].end |
16201.025 |
transcript.whisperx[585].text |
這點我要提醒政治你們要去監督一下這個部分要好好研究一下那最後我用一點點時間啦也就是電動車的充電樁這個問題其實高樓大廈你們現在所有的法令就只有就只有 |
transcript.whisperx[586].start |
16202.771 |
transcript.whisperx[586].end |
16220.796 |
transcript.whisperx[586].text |
請他們開辦但是你們監督華者這個部分是缺華的我要建議你們朝著這個方向也要自然有華者安全的問題要跟那個消防署要趕快因為現在我在看啊 |
transcript.whisperx[587].start |
16222.096 |
transcript.whisperx[587].end |
16247.814 |
transcript.whisperx[587].text |
欸 你們規定現在這個電動裝那裡面的防火蓋啊就只有做個表面喔我先跟你啟發一下根本沒有防火之效用這個要逼消防署要盡快去制定一些法則議題辦法所以我要的就是你們雖有法條 |
transcript.whisperx[588].start |
16249.275 |
transcript.whisperx[588].end |
16264.1 |
transcript.whisperx[588].text |
但是你們的監督跟整個華澤不明確的情況之下只有設立沒有監督跟沒有去預防這一點是比較給你一個建議就是還是要去研究一下好不好 |
transcript.whisperx[589].start |
16266.042 |
transcript.whisperx[589].end |
16291.57 |
transcript.whisperx[589].text |
剛才提到的有關電動窗的相關的安全也好或防火的安全也好這個呢因為都牽涉到是內政部或消防署等等的權責你們要主動啦我們會來跟他們協調和建議那另外我們了解那個其實內政部他也訂定了相關的一個指引來供地方政府來參考那經濟部也有相關的一個推薦好好拜託好謝謝 |
transcript.whisperx[590].start |
16304.839 |
transcript.whisperx[590].end |
16320.986 |
transcript.whisperx[590].text |
鄭天才 鄭天才 鄭天才委員不在鄭振銓 鄭振銓 鄭振銓委員不在高金素梅 高金素梅 高金素梅不在請葉延之執行主席好 麻煩請交通部次長 |
transcript.whisperx[591].start |
16334.659 |
transcript.whisperx[591].end |
16336.644 |
transcript.whisperx[591].text |
好交通部陳正事 |
transcript.whisperx[592].start |
16340.59 |
transcript.whisperx[592].end |
16364.659 |
transcript.whisperx[592].text |
委員好 市長剛好市長今天來我想跟市長問一下車輛安全因為您在2022年8月的時候有出席一個TNCAP一個實驗室的揭牌儀式當初會成立這個叫做台灣新車安全平等計畫實驗室當初會成立這個實驗室講的是說因為台灣需要符合國情的台灣新車安全平等 |
transcript.whisperx[593].start |
16365.399 |
transcript.whisperx[593].end |
16389.167 |
transcript.whisperx[593].text |
而且很重要因為我們要讓民眾購車的時候有客觀的參考而且要引導業界的向上提升所以必須要成立這個實驗室對用路安全或行人安全各方面產業的發展都至關重要不過我想跟您請教一下在目前為止這個成效如何因為我有看到相關的資料 |
transcript.whisperx[594].start |
16391.068 |
transcript.whisperx[594].end |
16416.449 |
transcript.whisperx[594].text |
這邊原本當初公布的計畫一年是要檢測八種車型一季是兩種車型然後一種車型是要檢測四輛可是在去年大概只有檢測了六種車型其中六種車型裡面有兩個是廠商自費售品換句話說如果廠商沒有自費的話可能這個實驗室只能檢驗四種車型 |
transcript.whisperx[595].start |
16418.351 |
transcript.whisperx[595].end |
16431.185 |
transcript.whisperx[595].text |
那這跟當初接牌所發下的好語就打了一半的折扣所以不曉得為什麼會這樣那個次長您當初參加這個實驗室然後目前成果您個人滿意嗎次長回答啦因為您之前參加的那個接牌儀式嘛 對啊 |
transcript.whisperx[596].start |
16441.574 |
transcript.whisperx[596].end |
16470.586 |
transcript.whisperx[596].text |
我跟委員報告有關TNCAP就是台灣的這個安全平等的這樣的一個制度它到目前為止我們認為它是成功的而且是有效的那當然相關的這個就是評比的車輛數不如就是說跟我們原來規劃有差距是因為相關預算的問題但是透過這個廠商自我的這個智慧來沒關係市長那你當初是說要 |
transcript.whisperx[597].start |
16471.346 |
transcript.whisperx[597].end |
16480.521 |
transcript.whisperx[597].text |
要八種車型現在只有四種車型為什麼你還會覺得是成功的已經你所檢驗的車輛已經比當初預估少一半了你還是認為是成功為什麼 |
transcript.whisperx[598].start |
16483.899 |
transcript.whisperx[598].end |
16503.859 |
transcript.whisperx[598].text |
我想整個來講的話我們本來就是這樣的一個制度其實就是希望整個業者也能夠參與所以現在業者也那業者如果所以你所以才好是有兩個所有要送行的車輛好沒關係即便是把業者參與的這兩個算進來還是只有達到當初預估的四分之三 |
transcript.whisperx[599].start |
16506.311 |
transcript.whisperx[599].end |
16526.844 |
transcript.whisperx[599].text |
而且這種東西當然多多益善嘛你們當初揭牌的時候媒體的報導是很大的而且說因為有做這個事情對於台灣的安全用路安全行車安全行人保護產業發展都有大大提升可是後來的成效不如當初的預估您還是覺得是滿意的好我再問一個問題因為我們時間有限 |
transcript.whisperx[600].start |
16529.895 |
transcript.whisperx[600].end |
16556.829 |
transcript.whisperx[600].text |
我看到你們當初說要做這個實驗目的是要給買車的人參考嘛對不對 他可以看那個評比安全係數怎麼樣來決定要不要買這款車可是你們選擇要去評鑑哪一台車是怎麼選擇呢是選擇當年度銷量最好的前幾名這本末倒置了嘛 很多人都已經買啦買了之後 然後忽然看到說哇 交通部的實驗室的評比不好那怎麼辦 趕快賣是不是那誰要買 |
transcript.whisperx[601].start |
16559.676 |
transcript.whisperx[601].end |
16582.843 |
transcript.whisperx[601].text |
所以你如果要做這個實驗 你應該是在新車上市之前你就要做啊怎麼會等到人家熱銷以後 再去選擇相關的來做實驗這有什麼意義 這個有達到任何的提升作用嗎該賣的都賣出去了啊為什麼會有這個機制 好像市長如果真的回答不了 請其他主管回答你乍聽之下會不會覺得很奇怪 |
transcript.whisperx[602].start |
16585.445 |
transcript.whisperx[602].end |
16609.828 |
transcript.whisperx[602].text |
我跟委員報告他當然是銷售上的排行但是因為銷售的時候剛才特別提到就是說他其實是讓民眾去選擇的時候不是啦 他都買了嘛他熱銷代表很多人買嘛很多人買之後你才去做實驗做完實驗之後他買了之後發現哇 這個評比那麼差那你有達到任何提示的作用嗎你是叫他以後開車小心一點喔 |
transcript.whisperx[603].start |
16610.969 |
transcript.whisperx[603].end |
16626.36 |
transcript.whisperx[603].text |
其實就是讓大家了解到說你應該要等到人家賣之前我跟你講大家聽到都覺得很奇怪如果我們要買車我們要選擇安全車但是希望說先看到數據再去買嘛哪有說我買了之後你再提醒我那你是叫我賣還是怎樣 |
transcript.whisperx[604].start |
16632.484 |
transcript.whisperx[604].end |
16642.788 |
transcript.whisperx[604].text |
剛剛委員所提到的TN CAP希望車廠在新車上市銷售的時候就能自己支援來做然後把這些相關的車輛安全我不是說希望車廠 |
transcript.whisperx[605].start |
16644.048 |
transcript.whisperx[605].end |
16671.021 |
transcript.whisperx[605].text |
不好意思我不是說實驗室我是說你的實驗室的目的是希望提醒買車的人要有安全的參考所以你們自己也有編預算那你編預算你採購的車輛或者是做撞擊的車輛應該要上次之前就要做提醒人家去在購買的時候做參考理論上應該是這樣可是你們去選擇要去購買哪個車輛或者是花實驗室去做因為一台車我看到要平件也不少錢一千多萬 |
transcript.whisperx[606].start |
16671.801 |
transcript.whisperx[606].end |
16686.69 |
transcript.whisperx[606].text |
然後結果你們是挑熱銷的人家都賣完了你做給人家參考有什麼意義這部分我跟委員報告一下在國外的部分基本上大概都是這個業者以熱銷為主業者就是說自己來申請這個業好了國外我知道嘛可是 |
transcript.whisperx[607].start |
16687.17 |
transcript.whisperx[607].end |
16707.034 |
transcript.whisperx[607].text |
在國內的部分就是因為因為國內這個制度才開始做這個推動那對於這個希望就是說因為這個商市以銷售量這邊來做這個這個就是排氣的話代表說他銷售比較後面還會有這個相當多的民眾來買這樣子的車輛 |
transcript.whisperx[608].start |
16709.935 |
transcript.whisperx[608].end |
16735.453 |
transcript.whisperx[608].text |
這不一定喔你這個一開始大家就買了後面後面就買中古的啊你現在只是讓買中古車的人有這樣的一個參考而已這個政府出錢來買這個車輛一定是後面一定騎乘不會fix out的一個這個車如果要花錢做這個東西啦一台車測試要一千多萬你要做就把它做到好啦你就好像有做就好不是要把它做到好啊當初接牌的時候發下的好語 |
transcript.whisperx[609].start |
16736.855 |
transcript.whisperx[609].end |
16752.963 |
transcript.whisperx[609].text |
結果成效打折扣然後現在還要再講說沒關係啦雖然他已經熱銷了後面還是會有人買嘛我們就提醒接下來那些人就好了至於說前面已經買車的人那就不關我的事那些人看到這個評比覺得很緊張可是他已經買了他到時候要轉手很困難 |
transcript.whisperx[610].start |
16754.011 |
transcript.whisperx[610].end |
16773.97 |
transcript.whisperx[610].text |
所以你如果錢花下去你要照顧的是所有買車的人嘛不是說只照顧那些比較後面買車的人所以這個機制是很奇怪那機制是鼓勵大家以後看到新車先不要買嗎先不要買然後等到出來之後再買免得先上車嗎你要做你錢花下去你就把它做到好這絕對是有調整空間啦 |
transcript.whisperx[611].start |
16776.713 |
transcript.whisperx[611].end |
16804.872 |
transcript.whisperx[611].text |
跟我們報告一下TNCAP的實景到現在剛剛市長講說已經看到他的成效就是說其實去年跟今年已經有這個好幾個車型來自願來申請這樣子的一個評價那這個新車他來申請自費申請的評價就是配合他新車這個上市那其實這個TNCAP推動最後的一個目標就是希望說在國內不管國產或進口的一個部分你要新車上市銷售的時候 |
transcript.whisperx[612].start |
16805.632 |
transcript.whisperx[612].end |
16833.537 |
transcript.whisperx[612].text |
都能夠來參加這個評論吧一個比較好的資訊這個介入給這個消費者來做這個車輛我跟你講你一個計畫怎麼樣都有成效啦百分之五的成效還是百分之十的成效啦現在我們是希望你錢花下去可以做到一百分嘛你一直跟我說我已經有五分了啊有十分了啊你這態度就是這樣啊我們是把問題提醒給你希望可以做到更好嘛八十分九十分嘛啊你一直說我有五分了嘛至少我有對兩題啊 |
transcript.whisperx[613].start |
16835.702 |
transcript.whisperx[613].end |
16843.548 |
transcript.whisperx[613].text |
這種態度我是比較不能接受啦希望交通部可以針對這個計畫因為這個不少錢啦可以再提出一個檢討啦好不好謝謝謝謝葉元之委員 |
transcript.whisperx[614].start |
16849.551 |
transcript.whisperx[614].end |
16869.699 |
transcript.whisperx[614].text |
登記執行委員經已發言完畢做以下決定報告及詢答完畢委員以執行中要求提供相關書面資料或未及答覆部分請交通部盡速以書面答覆 |
transcript.whisperx[615].start |
16871.632 |
transcript.whisperx[615].end |
16886.344 |
transcript.whisperx[615].text |
針對本日審查公路法以及停車場法等修正草案做以下的決議個案經另定期繼續審查本日會議結束 上會謝謝媒體 謝謝我們的觀言 謝謝 |