IVOD_ID |
15320 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/15320 |
日期 |
2023-11-30 |
會議資料.會議代碼 |
委員會-10-8-22-9 |
會議資料.會議代碼:str |
第10屆第8會期教育及文化委員會第9次全體委員會議 |
會議資料.屆 |
10 |
會議資料.會期 |
8 |
會議資料.會次 |
9 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
22 |
會議資料.委員會代碼:str[0] |
教育及文化委員會 |
會議資料.標題 |
第10屆第8會期教育及文化委員會第9次全體委員會議 |
影片種類 |
Full |
開始時間 |
2023-11-30T08:30:51+08:00 |
結束時間 |
2023-11-30T10:27:00+08:00 |
影片長度 |
01:56:09 |
支援功能[0] |
ai-transcript |
video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/3832c314c43c373d84d5437c18e80f077e60f8021a25648d46d53a332764a535e4174386ad9a66495ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2023-11-30T09:00:00+08:00 |
會議名稱 |
立法院第10屆第8會期教育及文化委員會第9次全體委員會議(事由:一、繼續審查113年度中央政府總預算案有關國家科學及技術委員會及所屬單位預算案。
二、繼續審查113年度中央政府總預算案有關行政院主管行政院國家科學技術發展基金附屬單位預算案。
三、繼續審查113年度中央政府總預算案有關國家科學及技術委員會主管科學園區管理局作業基金附屬單位預算案。
四、繼續審查113年度行政法人國家災害防救科技中心預算案。
五、繼續審查112年度及113年度行政法人國家太空中心預算案。
(11月29日及30日二天一次會)) |
委員名稱 |
完整會議 |
委員發言時間 |
08:30:51 - 10:27:00 |
transcript.pyannote[0].speaker |
SPEAKER_06 |
transcript.pyannote[0].start |
1786.33409375 |
transcript.pyannote[0].end |
1788.27471875 |
transcript.pyannote[1].speaker |
SPEAKER_06 |
transcript.pyannote[1].start |
1790.19846875 |
transcript.pyannote[1].end |
1807.49534375 |
transcript.pyannote[2].speaker |
SPEAKER_06 |
transcript.pyannote[2].start |
1808.28846875 |
transcript.pyannote[2].end |
1808.65971875 |
transcript.pyannote[3].speaker |
SPEAKER_06 |
transcript.pyannote[3].start |
1809.09846875 |
transcript.pyannote[3].end |
1811.73096875 |
transcript.pyannote[4].speaker |
SPEAKER_06 |
transcript.pyannote[4].start |
1813.14846875 |
transcript.pyannote[4].end |
1820.25284375 |
transcript.pyannote[5].speaker |
SPEAKER_06 |
transcript.pyannote[5].start |
1821.31596875 |
transcript.pyannote[5].end |
1827.17159375 |
transcript.pyannote[6].speaker |
SPEAKER_06 |
transcript.pyannote[6].start |
1827.37409375 |
transcript.pyannote[6].end |
1837.92096875 |
transcript.pyannote[7].speaker |
SPEAKER_06 |
transcript.pyannote[7].start |
1841.88659375 |
transcript.pyannote[7].end |
1843.03409375 |
transcript.pyannote[8].speaker |
SPEAKER_06 |
transcript.pyannote[8].start |
1845.80159375 |
transcript.pyannote[8].end |
1849.83471875 |
transcript.pyannote[9].speaker |
SPEAKER_06 |
transcript.pyannote[9].start |
1850.81346875 |
transcript.pyannote[9].end |
1855.85909375 |
transcript.pyannote[10].speaker |
SPEAKER_06 |
transcript.pyannote[10].start |
1857.79971875 |
transcript.pyannote[10].end |
1861.00596875 |
transcript.pyannote[11].speaker |
SPEAKER_06 |
transcript.pyannote[11].start |
1862.40659375 |
transcript.pyannote[11].end |
1868.17784375 |
transcript.pyannote[12].speaker |
SPEAKER_06 |
transcript.pyannote[12].start |
1870.82721875 |
transcript.pyannote[12].end |
1874.75909375 |
transcript.pyannote[13].speaker |
SPEAKER_06 |
transcript.pyannote[13].start |
1876.42971875 |
transcript.pyannote[13].end |
1879.90596875 |
transcript.pyannote[14].speaker |
SPEAKER_06 |
transcript.pyannote[14].start |
1880.88471875 |
transcript.pyannote[14].end |
1881.67784375 |
transcript.pyannote[15].speaker |
SPEAKER_06 |
transcript.pyannote[15].start |
1883.31471875 |
transcript.pyannote[15].end |
1883.71971875 |
transcript.pyannote[16].speaker |
SPEAKER_06 |
transcript.pyannote[16].start |
1890.52034375 |
transcript.pyannote[16].end |
1891.02659375 |
transcript.pyannote[17].speaker |
SPEAKER_06 |
transcript.pyannote[17].start |
1892.51159375 |
transcript.pyannote[17].end |
1919.89971875 |
transcript.pyannote[18].speaker |
SPEAKER_06 |
transcript.pyannote[18].start |
1920.92909375 |
transcript.pyannote[18].end |
1922.70096875 |
transcript.pyannote[19].speaker |
SPEAKER_06 |
transcript.pyannote[19].start |
1923.32534375 |
transcript.pyannote[19].end |
1929.70409375 |
transcript.pyannote[20].speaker |
SPEAKER_21 |
transcript.pyannote[20].start |
1931.15534375 |
transcript.pyannote[20].end |
1934.27721875 |
transcript.pyannote[21].speaker |
SPEAKER_21 |
transcript.pyannote[21].start |
1939.89659375 |
transcript.pyannote[21].end |
1956.70409375 |
transcript.pyannote[22].speaker |
SPEAKER_21 |
transcript.pyannote[22].start |
1957.75034375 |
transcript.pyannote[22].end |
1958.34096875 |
transcript.pyannote[23].speaker |
SPEAKER_21 |
transcript.pyannote[23].start |
1958.86409375 |
transcript.pyannote[23].end |
1964.63534375 |
transcript.pyannote[24].speaker |
SPEAKER_21 |
transcript.pyannote[24].start |
1964.88846875 |
transcript.pyannote[24].end |
1967.01471875 |
transcript.pyannote[25].speaker |
SPEAKER_21 |
transcript.pyannote[25].start |
1967.11596875 |
transcript.pyannote[25].end |
1975.85721875 |
transcript.pyannote[26].speaker |
SPEAKER_06 |
transcript.pyannote[26].start |
1975.85721875 |
transcript.pyannote[26].end |
1984.53096875 |
transcript.pyannote[27].speaker |
SPEAKER_21 |
transcript.pyannote[27].start |
1975.87409375 |
transcript.pyannote[27].end |
1976.05971875 |
transcript.pyannote[28].speaker |
SPEAKER_06 |
transcript.pyannote[28].start |
1984.75034375 |
transcript.pyannote[28].end |
1989.67784375 |
transcript.pyannote[29].speaker |
SPEAKER_06 |
transcript.pyannote[29].start |
1990.79159375 |
transcript.pyannote[29].end |
1991.60159375 |
transcript.pyannote[30].speaker |
SPEAKER_21 |
transcript.pyannote[30].start |
1991.02784375 |
transcript.pyannote[30].end |
1991.11221875 |
transcript.pyannote[31].speaker |
SPEAKER_21 |
transcript.pyannote[31].start |
1991.60159375 |
transcript.pyannote[31].end |
2001.96284375 |
transcript.pyannote[32].speaker |
SPEAKER_18 |
transcript.pyannote[32].start |
2001.35534375 |
transcript.pyannote[32].end |
2068.41659375 |
transcript.pyannote[33].speaker |
SPEAKER_18 |
transcript.pyannote[33].start |
2068.88909375 |
transcript.pyannote[33].end |
2070.71159375 |
transcript.pyannote[34].speaker |
SPEAKER_06 |
transcript.pyannote[34].start |
2070.71159375 |
transcript.pyannote[34].end |
2070.74534375 |
transcript.pyannote[35].speaker |
SPEAKER_06 |
transcript.pyannote[35].start |
2071.82534375 |
transcript.pyannote[35].end |
2072.71971875 |
transcript.pyannote[36].speaker |
SPEAKER_21 |
transcript.pyannote[36].start |
2073.12471875 |
transcript.pyannote[36].end |
2074.94721875 |
transcript.pyannote[37].speaker |
SPEAKER_06 |
transcript.pyannote[37].start |
2074.84596875 |
transcript.pyannote[37].end |
2085.62909375 |
transcript.pyannote[38].speaker |
SPEAKER_21 |
transcript.pyannote[38].start |
2085.25784375 |
transcript.pyannote[38].end |
2091.33284375 |
transcript.pyannote[39].speaker |
SPEAKER_06 |
transcript.pyannote[39].start |
2091.16409375 |
transcript.pyannote[39].end |
2093.42534375 |
transcript.pyannote[40].speaker |
SPEAKER_21 |
transcript.pyannote[40].start |
2091.58596875 |
transcript.pyannote[40].end |
2091.77159375 |
transcript.pyannote[41].speaker |
SPEAKER_06 |
transcript.pyannote[41].start |
2093.71221875 |
transcript.pyannote[41].end |
2103.01034375 |
transcript.pyannote[42].speaker |
SPEAKER_06 |
transcript.pyannote[42].start |
2104.12409375 |
transcript.pyannote[42].end |
2105.96346875 |
transcript.pyannote[43].speaker |
SPEAKER_09 |
transcript.pyannote[43].start |
2105.96346875 |
transcript.pyannote[43].end |
2127.54659375 |
transcript.pyannote[44].speaker |
SPEAKER_21 |
transcript.pyannote[44].start |
2126.55096875 |
transcript.pyannote[44].end |
2126.75346875 |
transcript.pyannote[45].speaker |
SPEAKER_21 |
transcript.pyannote[45].start |
2127.37784375 |
transcript.pyannote[45].end |
2131.96784375 |
transcript.pyannote[46].speaker |
SPEAKER_09 |
transcript.pyannote[46].start |
2131.14096875 |
transcript.pyannote[46].end |
2131.15784375 |
transcript.pyannote[47].speaker |
SPEAKER_06 |
transcript.pyannote[47].start |
2131.15784375 |
transcript.pyannote[47].end |
2133.70596875 |
transcript.pyannote[48].speaker |
SPEAKER_21 |
transcript.pyannote[48].start |
2133.35159375 |
transcript.pyannote[48].end |
2140.18596875 |
transcript.pyannote[49].speaker |
SPEAKER_06 |
transcript.pyannote[49].start |
2134.38096875 |
transcript.pyannote[49].end |
2135.68034375 |
transcript.pyannote[50].speaker |
SPEAKER_06 |
transcript.pyannote[50].start |
2137.55346875 |
transcript.pyannote[50].end |
2137.82346875 |
transcript.pyannote[51].speaker |
SPEAKER_06 |
transcript.pyannote[51].start |
2139.89909375 |
transcript.pyannote[51].end |
2147.59409375 |
transcript.pyannote[52].speaker |
SPEAKER_21 |
transcript.pyannote[52].start |
2147.03721875 |
transcript.pyannote[52].end |
2148.84284375 |
transcript.pyannote[53].speaker |
SPEAKER_06 |
transcript.pyannote[53].start |
2148.84284375 |
transcript.pyannote[53].end |
2148.87659375 |
transcript.pyannote[54].speaker |
SPEAKER_21 |
transcript.pyannote[54].start |
2149.39971875 |
transcript.pyannote[54].end |
2157.09471875 |
transcript.pyannote[55].speaker |
SPEAKER_06 |
transcript.pyannote[55].start |
2156.92596875 |
transcript.pyannote[55].end |
2161.80284375 |
transcript.pyannote[56].speaker |
SPEAKER_21 |
transcript.pyannote[56].start |
2162.25846875 |
transcript.pyannote[56].end |
2162.66346875 |
transcript.pyannote[57].speaker |
SPEAKER_21 |
transcript.pyannote[57].start |
2162.96721875 |
transcript.pyannote[57].end |
2165.00909375 |
transcript.pyannote[58].speaker |
SPEAKER_06 |
transcript.pyannote[58].start |
2164.97534375 |
transcript.pyannote[58].end |
2168.06346875 |
transcript.pyannote[59].speaker |
SPEAKER_21 |
transcript.pyannote[59].start |
2166.05534375 |
transcript.pyannote[59].end |
2166.08909375 |
transcript.pyannote[60].speaker |
SPEAKER_21 |
transcript.pyannote[60].start |
2168.36721875 |
transcript.pyannote[60].end |
2174.96534375 |
transcript.pyannote[61].speaker |
SPEAKER_06 |
transcript.pyannote[61].start |
2174.35784375 |
transcript.pyannote[61].end |
2174.37471875 |
transcript.pyannote[62].speaker |
SPEAKER_09 |
transcript.pyannote[62].start |
2174.37471875 |
transcript.pyannote[62].end |
2174.40846875 |
transcript.pyannote[63].speaker |
SPEAKER_06 |
transcript.pyannote[63].start |
2174.40846875 |
transcript.pyannote[63].end |
2174.66159375 |
transcript.pyannote[64].speaker |
SPEAKER_09 |
transcript.pyannote[64].start |
2174.66159375 |
transcript.pyannote[64].end |
2174.71221875 |
transcript.pyannote[65].speaker |
SPEAKER_06 |
transcript.pyannote[65].start |
2174.71221875 |
transcript.pyannote[65].end |
2174.94846875 |
transcript.pyannote[66].speaker |
SPEAKER_09 |
transcript.pyannote[66].start |
2174.94846875 |
transcript.pyannote[66].end |
2187.87471875 |
transcript.pyannote[67].speaker |
SPEAKER_06 |
transcript.pyannote[67].start |
2174.96534375 |
transcript.pyannote[67].end |
2175.43784375 |
transcript.pyannote[68].speaker |
SPEAKER_06 |
transcript.pyannote[68].start |
2176.70346875 |
transcript.pyannote[68].end |
2176.97346875 |
transcript.pyannote[69].speaker |
SPEAKER_19 |
transcript.pyannote[69].start |
2176.97346875 |
transcript.pyannote[69].end |
2177.10846875 |
transcript.pyannote[70].speaker |
SPEAKER_19 |
transcript.pyannote[70].start |
2177.14221875 |
transcript.pyannote[70].end |
2177.15909375 |
transcript.pyannote[71].speaker |
SPEAKER_21 |
transcript.pyannote[71].start |
2187.87471875 |
transcript.pyannote[71].end |
2187.92534375 |
transcript.pyannote[72].speaker |
SPEAKER_19 |
transcript.pyannote[72].start |
2187.92534375 |
transcript.pyannote[72].end |
2188.75221875 |
transcript.pyannote[73].speaker |
SPEAKER_21 |
transcript.pyannote[73].start |
2188.75221875 |
transcript.pyannote[73].end |
2189.22471875 |
transcript.pyannote[74].speaker |
SPEAKER_09 |
transcript.pyannote[74].start |
2189.22471875 |
transcript.pyannote[74].end |
2192.02596875 |
transcript.pyannote[75].speaker |
SPEAKER_19 |
transcript.pyannote[75].start |
2191.40159375 |
transcript.pyannote[75].end |
2191.43534375 |
transcript.pyannote[76].speaker |
SPEAKER_21 |
transcript.pyannote[76].start |
2191.43534375 |
transcript.pyannote[76].end |
2193.44346875 |
transcript.pyannote[77].speaker |
SPEAKER_19 |
transcript.pyannote[77].start |
2192.02596875 |
transcript.pyannote[77].end |
2192.43096875 |
transcript.pyannote[78].speaker |
SPEAKER_19 |
transcript.pyannote[78].start |
2192.97096875 |
transcript.pyannote[78].end |
2193.03846875 |
transcript.pyannote[79].speaker |
SPEAKER_06 |
transcript.pyannote[79].start |
2193.03846875 |
transcript.pyannote[79].end |
2193.67971875 |
transcript.pyannote[80].speaker |
SPEAKER_08 |
transcript.pyannote[80].start |
2193.44346875 |
transcript.pyannote[80].end |
2193.84846875 |
transcript.pyannote[81].speaker |
SPEAKER_06 |
transcript.pyannote[81].start |
2193.84846875 |
transcript.pyannote[81].end |
2193.96659375 |
transcript.pyannote[82].speaker |
SPEAKER_08 |
transcript.pyannote[82].start |
2193.89909375 |
transcript.pyannote[82].end |
2194.52346875 |
transcript.pyannote[83].speaker |
SPEAKER_06 |
transcript.pyannote[83].start |
2194.13534375 |
transcript.pyannote[83].end |
2194.16909375 |
transcript.pyannote[84].speaker |
SPEAKER_06 |
transcript.pyannote[84].start |
2194.25346875 |
transcript.pyannote[84].end |
2194.45596875 |
transcript.pyannote[85].speaker |
SPEAKER_19 |
transcript.pyannote[85].start |
2194.45596875 |
transcript.pyannote[85].end |
2194.47284375 |
transcript.pyannote[86].speaker |
SPEAKER_19 |
transcript.pyannote[86].start |
2194.52346875 |
transcript.pyannote[86].end |
2195.40096875 |
transcript.pyannote[87].speaker |
SPEAKER_08 |
transcript.pyannote[87].start |
2195.40096875 |
transcript.pyannote[87].end |
2259.00284375 |
transcript.pyannote[88].speaker |
SPEAKER_06 |
transcript.pyannote[88].start |
2195.50221875 |
transcript.pyannote[88].end |
2195.63721875 |
transcript.pyannote[89].speaker |
SPEAKER_21 |
transcript.pyannote[89].start |
2258.31096875 |
transcript.pyannote[89].end |
2273.61659375 |
transcript.pyannote[90].speaker |
SPEAKER_08 |
transcript.pyannote[90].start |
2266.29284375 |
transcript.pyannote[90].end |
2267.03534375 |
transcript.pyannote[91].speaker |
SPEAKER_06 |
transcript.pyannote[91].start |
2267.03534375 |
transcript.pyannote[91].end |
2268.06471875 |
transcript.pyannote[92].speaker |
SPEAKER_08 |
transcript.pyannote[92].start |
2268.06471875 |
transcript.pyannote[92].end |
2268.60471875 |
transcript.pyannote[93].speaker |
SPEAKER_06 |
transcript.pyannote[93].start |
2272.97534375 |
transcript.pyannote[93].end |
2275.60784375 |
transcript.pyannote[94].speaker |
SPEAKER_21 |
transcript.pyannote[94].start |
2275.05096875 |
transcript.pyannote[94].end |
2283.35346875 |
transcript.pyannote[95].speaker |
SPEAKER_06 |
transcript.pyannote[95].start |
2283.35346875 |
transcript.pyannote[95].end |
2284.66971875 |
transcript.pyannote[96].speaker |
SPEAKER_06 |
transcript.pyannote[96].start |
2287.13346875 |
transcript.pyannote[96].end |
2292.17909375 |
transcript.pyannote[97].speaker |
SPEAKER_06 |
transcript.pyannote[97].start |
2293.76534375 |
transcript.pyannote[97].end |
2302.18596875 |
transcript.pyannote[98].speaker |
SPEAKER_19 |
transcript.pyannote[98].start |
2302.96221875 |
transcript.pyannote[98].end |
2303.18159375 |
transcript.pyannote[99].speaker |
SPEAKER_19 |
transcript.pyannote[99].start |
2303.63721875 |
transcript.pyannote[99].end |
2303.95784375 |
transcript.pyannote[100].speaker |
SPEAKER_19 |
transcript.pyannote[100].start |
2303.97471875 |
transcript.pyannote[100].end |
2304.02534375 |
transcript.pyannote[101].speaker |
SPEAKER_06 |
transcript.pyannote[101].start |
2304.88596875 |
transcript.pyannote[101].end |
2305.96596875 |
transcript.pyannote[102].speaker |
SPEAKER_08 |
transcript.pyannote[102].start |
2305.96596875 |
transcript.pyannote[102].end |
2306.57346875 |
transcript.pyannote[103].speaker |
SPEAKER_08 |
transcript.pyannote[103].start |
2308.44659375 |
transcript.pyannote[103].end |
2333.64096875 |
transcript.pyannote[104].speaker |
SPEAKER_08 |
transcript.pyannote[104].start |
2334.58596875 |
transcript.pyannote[104].end |
2365.16346875 |
transcript.pyannote[105].speaker |
SPEAKER_08 |
transcript.pyannote[105].start |
2366.15909375 |
transcript.pyannote[105].end |
2382.27471875 |
transcript.pyannote[106].speaker |
SPEAKER_21 |
transcript.pyannote[106].start |
2382.27471875 |
transcript.pyannote[106].end |
2382.86534375 |
transcript.pyannote[107].speaker |
SPEAKER_21 |
transcript.pyannote[107].start |
2383.18596875 |
transcript.pyannote[107].end |
2383.27034375 |
transcript.pyannote[108].speaker |
SPEAKER_21 |
transcript.pyannote[108].start |
2383.30409375 |
transcript.pyannote[108].end |
2383.35471875 |
transcript.pyannote[109].speaker |
SPEAKER_21 |
transcript.pyannote[109].start |
2383.37159375 |
transcript.pyannote[109].end |
2383.43909375 |
transcript.pyannote[110].speaker |
SPEAKER_13 |
transcript.pyannote[110].start |
2383.43909375 |
transcript.pyannote[110].end |
2384.77221875 |
transcript.pyannote[111].speaker |
SPEAKER_06 |
transcript.pyannote[111].start |
2384.16471875 |
transcript.pyannote[111].end |
2384.18159375 |
transcript.pyannote[112].speaker |
SPEAKER_08 |
transcript.pyannote[112].start |
2384.18159375 |
transcript.pyannote[112].end |
2385.02534375 |
transcript.pyannote[113].speaker |
SPEAKER_06 |
transcript.pyannote[113].start |
2385.02534375 |
transcript.pyannote[113].end |
2385.41346875 |
transcript.pyannote[114].speaker |
SPEAKER_08 |
transcript.pyannote[114].start |
2385.41346875 |
transcript.pyannote[114].end |
2385.44721875 |
transcript.pyannote[115].speaker |
SPEAKER_13 |
transcript.pyannote[115].start |
2385.44721875 |
transcript.pyannote[115].end |
2387.55659375 |
transcript.pyannote[116].speaker |
SPEAKER_06 |
transcript.pyannote[116].start |
2386.66221875 |
transcript.pyannote[116].end |
2391.52221875 |
transcript.pyannote[117].speaker |
SPEAKER_08 |
transcript.pyannote[117].start |
2387.55659375 |
transcript.pyannote[117].end |
2387.57346875 |
transcript.pyannote[118].speaker |
SPEAKER_13 |
transcript.pyannote[118].start |
2390.27346875 |
transcript.pyannote[118].end |
2390.45909375 |
transcript.pyannote[119].speaker |
SPEAKER_13 |
transcript.pyannote[119].start |
2391.80909375 |
transcript.pyannote[119].end |
2423.97284375 |
transcript.pyannote[120].speaker |
SPEAKER_19 |
transcript.pyannote[120].start |
2423.97284375 |
transcript.pyannote[120].end |
2423.98971875 |
transcript.pyannote[121].speaker |
SPEAKER_13 |
transcript.pyannote[121].start |
2423.98971875 |
transcript.pyannote[121].end |
2424.02346875 |
transcript.pyannote[122].speaker |
SPEAKER_19 |
transcript.pyannote[122].start |
2425.66034375 |
transcript.pyannote[122].end |
2425.69409375 |
transcript.pyannote[123].speaker |
SPEAKER_19 |
transcript.pyannote[123].start |
2425.71096875 |
transcript.pyannote[123].end |
2425.74471875 |
transcript.pyannote[124].speaker |
SPEAKER_19 |
transcript.pyannote[124].start |
2426.11596875 |
transcript.pyannote[124].end |
2426.14971875 |
transcript.pyannote[125].speaker |
SPEAKER_06 |
transcript.pyannote[125].start |
2426.14971875 |
transcript.pyannote[125].end |
2447.51346875 |
transcript.pyannote[126].speaker |
SPEAKER_21 |
transcript.pyannote[126].start |
2447.51346875 |
transcript.pyannote[126].end |
2449.06596875 |
transcript.pyannote[127].speaker |
SPEAKER_21 |
transcript.pyannote[127].start |
2449.11659375 |
transcript.pyannote[127].end |
2449.15034375 |
transcript.pyannote[128].speaker |
SPEAKER_21 |
transcript.pyannote[128].start |
2449.28534375 |
transcript.pyannote[128].end |
2451.56346875 |
transcript.pyannote[129].speaker |
SPEAKER_15 |
transcript.pyannote[129].start |
2451.56346875 |
transcript.pyannote[129].end |
2541.59159375 |
transcript.pyannote[130].speaker |
SPEAKER_00 |
transcript.pyannote[130].start |
2471.20596875 |
transcript.pyannote[130].end |
2471.71221875 |
transcript.pyannote[131].speaker |
SPEAKER_00 |
transcript.pyannote[131].start |
2511.28409375 |
transcript.pyannote[131].end |
2511.46971875 |
transcript.pyannote[132].speaker |
SPEAKER_19 |
transcript.pyannote[132].start |
2539.70159375 |
transcript.pyannote[132].end |
2539.80284375 |
transcript.pyannote[133].speaker |
SPEAKER_19 |
transcript.pyannote[133].start |
2541.47346875 |
transcript.pyannote[133].end |
2541.49034375 |
transcript.pyannote[134].speaker |
SPEAKER_19 |
transcript.pyannote[134].start |
2541.59159375 |
transcript.pyannote[134].end |
2541.74346875 |
transcript.pyannote[135].speaker |
SPEAKER_15 |
transcript.pyannote[135].start |
2541.74346875 |
transcript.pyannote[135].end |
2579.22284375 |
transcript.pyannote[136].speaker |
SPEAKER_19 |
transcript.pyannote[136].start |
2541.77721875 |
transcript.pyannote[136].end |
2541.81096875 |
transcript.pyannote[137].speaker |
SPEAKER_06 |
transcript.pyannote[137].start |
2579.22284375 |
transcript.pyannote[137].end |
2595.79409375 |
transcript.pyannote[138].speaker |
SPEAKER_04 |
transcript.pyannote[138].start |
2595.94596875 |
transcript.pyannote[138].end |
2682.12659375 |
transcript.pyannote[139].speaker |
SPEAKER_06 |
transcript.pyannote[139].start |
2682.66659375 |
transcript.pyannote[139].end |
2684.91096875 |
transcript.pyannote[140].speaker |
SPEAKER_11 |
transcript.pyannote[140].start |
2688.60659375 |
transcript.pyannote[140].end |
2729.56221875 |
transcript.pyannote[141].speaker |
SPEAKER_11 |
transcript.pyannote[141].start |
2729.76471875 |
transcript.pyannote[141].end |
2737.62846875 |
transcript.pyannote[142].speaker |
SPEAKER_11 |
transcript.pyannote[142].start |
2738.03346875 |
transcript.pyannote[142].end |
2739.02909375 |
transcript.pyannote[143].speaker |
SPEAKER_11 |
transcript.pyannote[143].start |
2739.16409375 |
transcript.pyannote[143].end |
2742.57284375 |
transcript.pyannote[144].speaker |
SPEAKER_11 |
transcript.pyannote[144].start |
2742.80909375 |
transcript.pyannote[144].end |
2749.01909375 |
transcript.pyannote[145].speaker |
SPEAKER_11 |
transcript.pyannote[145].start |
2749.13721875 |
transcript.pyannote[145].end |
2779.71471875 |
transcript.pyannote[146].speaker |
SPEAKER_11 |
transcript.pyannote[146].start |
2780.23784375 |
transcript.pyannote[146].end |
2781.46971875 |
transcript.pyannote[147].speaker |
SPEAKER_06 |
transcript.pyannote[147].start |
2781.46971875 |
transcript.pyannote[147].end |
2781.48659375 |
transcript.pyannote[148].speaker |
SPEAKER_14 |
transcript.pyannote[148].start |
2782.95471875 |
transcript.pyannote[148].end |
2806.95096875 |
transcript.pyannote[149].speaker |
SPEAKER_14 |
transcript.pyannote[149].start |
2807.35596875 |
transcript.pyannote[149].end |
2818.45971875 |
transcript.pyannote[150].speaker |
SPEAKER_14 |
transcript.pyannote[150].start |
2819.48909375 |
transcript.pyannote[150].end |
2827.47096875 |
transcript.pyannote[151].speaker |
SPEAKER_14 |
transcript.pyannote[151].start |
2828.24721875 |
transcript.pyannote[151].end |
2829.36096875 |
transcript.pyannote[152].speaker |
SPEAKER_13 |
transcript.pyannote[152].start |
2829.78284375 |
transcript.pyannote[152].end |
2831.60534375 |
transcript.pyannote[153].speaker |
SPEAKER_13 |
transcript.pyannote[153].start |
2832.22971875 |
transcript.pyannote[153].end |
2863.49909375 |
transcript.pyannote[154].speaker |
SPEAKER_13 |
transcript.pyannote[154].start |
2864.64659375 |
transcript.pyannote[154].end |
2872.45971875 |
transcript.pyannote[155].speaker |
SPEAKER_13 |
transcript.pyannote[155].start |
2872.74659375 |
transcript.pyannote[155].end |
2873.97846875 |
transcript.pyannote[156].speaker |
SPEAKER_14 |
transcript.pyannote[156].start |
2873.97846875 |
transcript.pyannote[156].end |
2878.92284375 |
transcript.pyannote[157].speaker |
SPEAKER_14 |
transcript.pyannote[157].start |
2879.61471875 |
transcript.pyannote[157].end |
2881.77471875 |
transcript.pyannote[158].speaker |
SPEAKER_14 |
transcript.pyannote[158].start |
2882.14596875 |
transcript.pyannote[158].end |
2882.92221875 |
transcript.pyannote[159].speaker |
SPEAKER_13 |
transcript.pyannote[159].start |
2882.92221875 |
transcript.pyannote[159].end |
2890.60034375 |
transcript.pyannote[160].speaker |
SPEAKER_13 |
transcript.pyannote[160].start |
2891.08971875 |
transcript.pyannote[160].end |
2906.58096875 |
transcript.pyannote[161].speaker |
SPEAKER_14 |
transcript.pyannote[161].start |
2906.58096875 |
transcript.pyannote[161].end |
2906.59784375 |
transcript.pyannote[162].speaker |
SPEAKER_13 |
transcript.pyannote[162].start |
2907.42471875 |
transcript.pyannote[162].end |
2907.71159375 |
transcript.pyannote[163].speaker |
SPEAKER_14 |
transcript.pyannote[163].start |
2907.71159375 |
transcript.pyannote[163].end |
2907.74534375 |
transcript.pyannote[164].speaker |
SPEAKER_14 |
transcript.pyannote[164].start |
2908.45409375 |
transcript.pyannote[164].end |
2917.00971875 |
transcript.pyannote[165].speaker |
SPEAKER_14 |
transcript.pyannote[165].start |
2918.03909375 |
transcript.pyannote[165].end |
2918.54534375 |
transcript.pyannote[166].speaker |
SPEAKER_14 |
transcript.pyannote[166].start |
2918.98409375 |
transcript.pyannote[166].end |
2920.41846875 |
transcript.pyannote[167].speaker |
SPEAKER_14 |
transcript.pyannote[167].start |
2921.36346875 |
transcript.pyannote[167].end |
2930.93159375 |
transcript.pyannote[168].speaker |
SPEAKER_11 |
transcript.pyannote[168].start |
2930.49284375 |
transcript.pyannote[168].end |
2943.90846875 |
transcript.pyannote[169].speaker |
SPEAKER_11 |
transcript.pyannote[169].start |
2944.43159375 |
transcript.pyannote[169].end |
2945.86596875 |
transcript.pyannote[170].speaker |
SPEAKER_11 |
transcript.pyannote[170].start |
2946.20346875 |
transcript.pyannote[170].end |
2949.79784375 |
transcript.pyannote[171].speaker |
SPEAKER_14 |
transcript.pyannote[171].start |
2946.97971875 |
transcript.pyannote[171].end |
2947.35096875 |
transcript.pyannote[172].speaker |
SPEAKER_14 |
transcript.pyannote[172].start |
2950.65846875 |
transcript.pyannote[172].end |
2951.11409375 |
transcript.pyannote[173].speaker |
SPEAKER_11 |
transcript.pyannote[173].start |
2951.11409375 |
transcript.pyannote[173].end |
2952.27846875 |
transcript.pyannote[174].speaker |
SPEAKER_14 |
transcript.pyannote[174].start |
2952.61596875 |
transcript.pyannote[174].end |
2977.77659375 |
transcript.pyannote[175].speaker |
SPEAKER_14 |
transcript.pyannote[175].start |
2978.24909375 |
transcript.pyannote[175].end |
2979.10971875 |
transcript.pyannote[176].speaker |
SPEAKER_06 |
transcript.pyannote[176].start |
2980.86471875 |
transcript.pyannote[176].end |
2983.12596875 |
transcript.pyannote[177].speaker |
SPEAKER_06 |
transcript.pyannote[177].start |
2983.76721875 |
transcript.pyannote[177].end |
2983.96971875 |
transcript.pyannote[178].speaker |
SPEAKER_09 |
transcript.pyannote[178].start |
2983.96971875 |
transcript.pyannote[178].end |
3007.15596875 |
transcript.pyannote[179].speaker |
SPEAKER_06 |
transcript.pyannote[179].start |
2984.15534375 |
transcript.pyannote[179].end |
2984.89784375 |
transcript.pyannote[180].speaker |
SPEAKER_06 |
transcript.pyannote[180].start |
3007.15596875 |
transcript.pyannote[180].end |
3007.34159375 |
transcript.pyannote[181].speaker |
SPEAKER_06 |
transcript.pyannote[181].start |
3007.49346875 |
transcript.pyannote[181].end |
3007.52721875 |
transcript.pyannote[182].speaker |
SPEAKER_14 |
transcript.pyannote[182].start |
3007.52721875 |
transcript.pyannote[182].end |
3008.03346875 |
transcript.pyannote[183].speaker |
SPEAKER_06 |
transcript.pyannote[183].start |
3008.03346875 |
transcript.pyannote[183].end |
3008.20221875 |
transcript.pyannote[184].speaker |
SPEAKER_14 |
transcript.pyannote[184].start |
3008.20221875 |
transcript.pyannote[184].end |
3008.21909375 |
transcript.pyannote[185].speaker |
SPEAKER_06 |
transcript.pyannote[185].start |
3008.97846875 |
transcript.pyannote[185].end |
3016.65659375 |
transcript.pyannote[186].speaker |
SPEAKER_06 |
transcript.pyannote[186].start |
3018.09096875 |
transcript.pyannote[186].end |
3019.39034375 |
transcript.pyannote[187].speaker |
SPEAKER_11 |
transcript.pyannote[187].start |
3019.39034375 |
transcript.pyannote[187].end |
3019.42409375 |
transcript.pyannote[188].speaker |
SPEAKER_06 |
transcript.pyannote[188].start |
3021.26346875 |
transcript.pyannote[188].end |
3021.29721875 |
transcript.pyannote[189].speaker |
SPEAKER_11 |
transcript.pyannote[189].start |
3021.29721875 |
transcript.pyannote[189].end |
3026.57909375 |
transcript.pyannote[190].speaker |
SPEAKER_06 |
transcript.pyannote[190].start |
3026.57909375 |
transcript.pyannote[190].end |
3037.96971875 |
transcript.pyannote[191].speaker |
SPEAKER_11 |
transcript.pyannote[191].start |
3037.96971875 |
transcript.pyannote[191].end |
3037.98659375 |
transcript.pyannote[192].speaker |
SPEAKER_06 |
transcript.pyannote[192].start |
3037.98659375 |
transcript.pyannote[192].end |
3038.03721875 |
transcript.pyannote[193].speaker |
SPEAKER_11 |
transcript.pyannote[193].start |
3038.03721875 |
transcript.pyannote[193].end |
3038.05409375 |
transcript.pyannote[194].speaker |
SPEAKER_06 |
transcript.pyannote[194].start |
3038.05409375 |
transcript.pyannote[194].end |
3038.27346875 |
transcript.pyannote[195].speaker |
SPEAKER_11 |
transcript.pyannote[195].start |
3038.27346875 |
transcript.pyannote[195].end |
3044.04471875 |
transcript.pyannote[196].speaker |
SPEAKER_19 |
transcript.pyannote[196].start |
3042.66096875 |
transcript.pyannote[196].end |
3044.70284375 |
transcript.pyannote[197].speaker |
SPEAKER_11 |
transcript.pyannote[197].start |
3045.24284375 |
transcript.pyannote[197].end |
3047.31846875 |
transcript.pyannote[198].speaker |
SPEAKER_11 |
transcript.pyannote[198].start |
3047.80784375 |
transcript.pyannote[198].end |
3050.28846875 |
transcript.pyannote[199].speaker |
SPEAKER_08 |
transcript.pyannote[199].start |
3050.28846875 |
transcript.pyannote[199].end |
3055.58721875 |
transcript.pyannote[200].speaker |
SPEAKER_08 |
transcript.pyannote[200].start |
3056.44784375 |
transcript.pyannote[200].end |
3066.43784375 |
transcript.pyannote[201].speaker |
SPEAKER_06 |
transcript.pyannote[201].start |
3066.43784375 |
transcript.pyannote[201].end |
3066.72471875 |
transcript.pyannote[202].speaker |
SPEAKER_08 |
transcript.pyannote[202].start |
3066.45471875 |
transcript.pyannote[202].end |
3067.02846875 |
transcript.pyannote[203].speaker |
SPEAKER_06 |
transcript.pyannote[203].start |
3067.02846875 |
transcript.pyannote[203].end |
3067.60221875 |
transcript.pyannote[204].speaker |
SPEAKER_06 |
transcript.pyannote[204].start |
3067.93971875 |
transcript.pyannote[204].end |
3068.63159375 |
transcript.pyannote[205].speaker |
SPEAKER_06 |
transcript.pyannote[205].start |
3068.88471875 |
transcript.pyannote[205].end |
3087.34596875 |
transcript.pyannote[206].speaker |
SPEAKER_08 |
transcript.pyannote[206].start |
3069.50909375 |
transcript.pyannote[206].end |
3069.61034375 |
transcript.pyannote[207].speaker |
SPEAKER_19 |
transcript.pyannote[207].start |
3069.61034375 |
transcript.pyannote[207].end |
3069.77909375 |
transcript.pyannote[208].speaker |
SPEAKER_19 |
transcript.pyannote[208].start |
3070.13346875 |
transcript.pyannote[208].end |
3070.18409375 |
transcript.pyannote[209].speaker |
SPEAKER_08 |
transcript.pyannote[209].start |
3070.18409375 |
transcript.pyannote[209].end |
3070.42034375 |
transcript.pyannote[210].speaker |
SPEAKER_19 |
transcript.pyannote[210].start |
3072.15846875 |
transcript.pyannote[210].end |
3072.68159375 |
transcript.pyannote[211].speaker |
SPEAKER_00 |
transcript.pyannote[211].start |
3072.68159375 |
transcript.pyannote[211].end |
3072.69846875 |
transcript.pyannote[212].speaker |
SPEAKER_00 |
transcript.pyannote[212].start |
3074.68971875 |
transcript.pyannote[212].end |
3074.75721875 |
transcript.pyannote[213].speaker |
SPEAKER_00 |
transcript.pyannote[213].start |
3074.84159375 |
transcript.pyannote[213].end |
3075.06096875 |
transcript.pyannote[214].speaker |
SPEAKER_00 |
transcript.pyannote[214].start |
3079.95471875 |
transcript.pyannote[214].end |
3081.43971875 |
transcript.pyannote[215].speaker |
SPEAKER_15 |
transcript.pyannote[215].start |
3081.43971875 |
transcript.pyannote[215].end |
3081.49034375 |
transcript.pyannote[216].speaker |
SPEAKER_19 |
transcript.pyannote[216].start |
3081.49034375 |
transcript.pyannote[216].end |
3081.60846875 |
transcript.pyannote[217].speaker |
SPEAKER_15 |
transcript.pyannote[217].start |
3081.60846875 |
transcript.pyannote[217].end |
3082.03034375 |
transcript.pyannote[218].speaker |
SPEAKER_19 |
transcript.pyannote[218].start |
3082.03034375 |
transcript.pyannote[218].end |
3082.18221875 |
transcript.pyannote[219].speaker |
SPEAKER_15 |
transcript.pyannote[219].start |
3082.18221875 |
transcript.pyannote[219].end |
3082.23284375 |
transcript.pyannote[220].speaker |
SPEAKER_19 |
transcript.pyannote[220].start |
3086.02971875 |
transcript.pyannote[220].end |
3086.06346875 |
transcript.pyannote[221].speaker |
SPEAKER_19 |
transcript.pyannote[221].start |
3086.11409375 |
transcript.pyannote[221].end |
3087.29534375 |
transcript.pyannote[222].speaker |
SPEAKER_19 |
transcript.pyannote[222].start |
3087.34596875 |
transcript.pyannote[222].end |
3087.37971875 |
transcript.pyannote[223].speaker |
SPEAKER_06 |
transcript.pyannote[223].start |
3087.83534375 |
transcript.pyannote[223].end |
3093.97784375 |
transcript.pyannote[224].speaker |
SPEAKER_06 |
transcript.pyannote[224].start |
3094.50096875 |
transcript.pyannote[224].end |
3096.64409375 |
transcript.pyannote[225].speaker |
SPEAKER_06 |
transcript.pyannote[225].start |
3097.38659375 |
transcript.pyannote[225].end |
3111.29159375 |
transcript.pyannote[226].speaker |
SPEAKER_04 |
transcript.pyannote[226].start |
3112.42221875 |
transcript.pyannote[226].end |
3125.24721875 |
transcript.pyannote[227].speaker |
SPEAKER_04 |
transcript.pyannote[227].start |
3125.50034375 |
transcript.pyannote[227].end |
3173.30721875 |
transcript.pyannote[228].speaker |
SPEAKER_05 |
transcript.pyannote[228].start |
3174.25221875 |
transcript.pyannote[228].end |
3174.69096875 |
transcript.pyannote[229].speaker |
SPEAKER_14 |
transcript.pyannote[229].start |
3174.69096875 |
transcript.pyannote[229].end |
3174.72471875 |
transcript.pyannote[230].speaker |
SPEAKER_05 |
transcript.pyannote[230].start |
3174.72471875 |
transcript.pyannote[230].end |
3174.74159375 |
transcript.pyannote[231].speaker |
SPEAKER_14 |
transcript.pyannote[231].start |
3174.74159375 |
transcript.pyannote[231].end |
3174.82596875 |
transcript.pyannote[232].speaker |
SPEAKER_05 |
transcript.pyannote[232].start |
3174.82596875 |
transcript.pyannote[232].end |
3174.97784375 |
transcript.pyannote[233].speaker |
SPEAKER_14 |
transcript.pyannote[233].start |
3174.97784375 |
transcript.pyannote[233].end |
3177.86346875 |
transcript.pyannote[234].speaker |
SPEAKER_04 |
transcript.pyannote[234].start |
3175.14659375 |
transcript.pyannote[234].end |
3175.43346875 |
transcript.pyannote[235].speaker |
SPEAKER_05 |
transcript.pyannote[235].start |
3175.43346875 |
transcript.pyannote[235].end |
3175.50096875 |
transcript.pyannote[236].speaker |
SPEAKER_04 |
transcript.pyannote[236].start |
3175.50096875 |
transcript.pyannote[236].end |
3175.55159375 |
transcript.pyannote[237].speaker |
SPEAKER_05 |
transcript.pyannote[237].start |
3175.55159375 |
transcript.pyannote[237].end |
3175.58534375 |
transcript.pyannote[238].speaker |
SPEAKER_05 |
transcript.pyannote[238].start |
3177.86346875 |
transcript.pyannote[238].end |
3183.98909375 |
transcript.pyannote[239].speaker |
SPEAKER_20 |
transcript.pyannote[239].start |
3179.56784375 |
transcript.pyannote[239].end |
3180.10784375 |
transcript.pyannote[240].speaker |
SPEAKER_20 |
transcript.pyannote[240].start |
3184.17471875 |
transcript.pyannote[240].end |
3187.58346875 |
transcript.pyannote[241].speaker |
SPEAKER_05 |
transcript.pyannote[241].start |
3187.58346875 |
transcript.pyannote[241].end |
3193.43909375 |
transcript.pyannote[242].speaker |
SPEAKER_20 |
transcript.pyannote[242].start |
3193.03409375 |
transcript.pyannote[242].end |
3193.13534375 |
transcript.pyannote[243].speaker |
SPEAKER_21 |
transcript.pyannote[243].start |
3193.16909375 |
transcript.pyannote[243].end |
3193.35471875 |
transcript.pyannote[244].speaker |
SPEAKER_21 |
transcript.pyannote[244].start |
3193.43909375 |
transcript.pyannote[244].end |
3195.39659375 |
transcript.pyannote[245].speaker |
SPEAKER_05 |
transcript.pyannote[245].start |
3195.97034375 |
transcript.pyannote[245].end |
3261.79971875 |
transcript.pyannote[246].speaker |
SPEAKER_14 |
transcript.pyannote[246].start |
3259.65659375 |
transcript.pyannote[246].end |
3263.16659375 |
transcript.pyannote[247].speaker |
SPEAKER_05 |
transcript.pyannote[247].start |
3263.16659375 |
transcript.pyannote[247].end |
3263.60534375 |
transcript.pyannote[248].speaker |
SPEAKER_21 |
transcript.pyannote[248].start |
3263.60534375 |
transcript.pyannote[248].end |
3266.10284375 |
transcript.pyannote[249].speaker |
SPEAKER_06 |
transcript.pyannote[249].start |
3266.10284375 |
transcript.pyannote[249].end |
3276.53159375 |
transcript.pyannote[250].speaker |
SPEAKER_21 |
transcript.pyannote[250].start |
3266.11971875 |
transcript.pyannote[250].end |
3266.72721875 |
transcript.pyannote[251].speaker |
SPEAKER_14 |
transcript.pyannote[251].start |
3276.93659375 |
transcript.pyannote[251].end |
3277.52721875 |
transcript.pyannote[252].speaker |
SPEAKER_14 |
transcript.pyannote[252].start |
3277.83096875 |
transcript.pyannote[252].end |
3296.37659375 |
transcript.pyannote[253].speaker |
SPEAKER_04 |
transcript.pyannote[253].start |
3295.63409375 |
transcript.pyannote[253].end |
3296.57909375 |
transcript.pyannote[254].speaker |
SPEAKER_14 |
transcript.pyannote[254].start |
3296.57909375 |
transcript.pyannote[254].end |
3296.79846875 |
transcript.pyannote[255].speaker |
SPEAKER_04 |
transcript.pyannote[255].start |
3296.79846875 |
transcript.pyannote[255].end |
3304.89846875 |
transcript.pyannote[256].speaker |
SPEAKER_14 |
transcript.pyannote[256].start |
3298.08096875 |
transcript.pyannote[256].end |
3298.23284375 |
transcript.pyannote[257].speaker |
SPEAKER_14 |
transcript.pyannote[257].start |
3298.31721875 |
transcript.pyannote[257].end |
3298.95846875 |
transcript.pyannote[258].speaker |
SPEAKER_06 |
transcript.pyannote[258].start |
3302.38409375 |
transcript.pyannote[258].end |
3302.41784375 |
transcript.pyannote[259].speaker |
SPEAKER_14 |
transcript.pyannote[259].start |
3302.41784375 |
transcript.pyannote[259].end |
3302.48534375 |
transcript.pyannote[260].speaker |
SPEAKER_06 |
transcript.pyannote[260].start |
3302.48534375 |
transcript.pyannote[260].end |
3302.99159375 |
transcript.pyannote[261].speaker |
SPEAKER_04 |
transcript.pyannote[261].start |
3305.91096875 |
transcript.pyannote[261].end |
3309.21846875 |
transcript.pyannote[262].speaker |
SPEAKER_04 |
transcript.pyannote[262].start |
3309.23534375 |
transcript.pyannote[262].end |
3309.28596875 |
transcript.pyannote[263].speaker |
SPEAKER_06 |
transcript.pyannote[263].start |
3309.28596875 |
transcript.pyannote[263].end |
3332.89409375 |
transcript.pyannote[264].speaker |
SPEAKER_04 |
transcript.pyannote[264].start |
3310.18034375 |
transcript.pyannote[264].end |
3311.09159375 |
transcript.pyannote[265].speaker |
SPEAKER_06 |
transcript.pyannote[265].start |
3333.36659375 |
transcript.pyannote[265].end |
3335.99909375 |
transcript.pyannote[266].speaker |
SPEAKER_09 |
transcript.pyannote[266].start |
3334.78409375 |
transcript.pyannote[266].end |
3376.43159375 |
transcript.pyannote[267].speaker |
SPEAKER_09 |
transcript.pyannote[267].start |
3377.49471875 |
transcript.pyannote[267].end |
3378.96284375 |
transcript.pyannote[268].speaker |
SPEAKER_03 |
transcript.pyannote[268].start |
3380.88659375 |
transcript.pyannote[268].end |
3420.81284375 |
transcript.pyannote[269].speaker |
SPEAKER_03 |
transcript.pyannote[269].start |
3421.06596875 |
transcript.pyannote[269].end |
3430.54971875 |
transcript.pyannote[270].speaker |
SPEAKER_03 |
transcript.pyannote[270].start |
3430.80284375 |
transcript.pyannote[270].end |
3441.46784375 |
transcript.pyannote[271].speaker |
SPEAKER_03 |
transcript.pyannote[271].start |
3441.92346875 |
transcript.pyannote[271].end |
3470.57721875 |
transcript.pyannote[272].speaker |
SPEAKER_03 |
transcript.pyannote[272].start |
3472.09596875 |
transcript.pyannote[272].end |
3476.24721875 |
transcript.pyannote[273].speaker |
SPEAKER_03 |
transcript.pyannote[273].start |
3476.46659375 |
transcript.pyannote[273].end |
3487.75596875 |
transcript.pyannote[274].speaker |
SPEAKER_03 |
transcript.pyannote[274].start |
3488.22846875 |
transcript.pyannote[274].end |
3495.63659375 |
transcript.pyannote[275].speaker |
SPEAKER_03 |
transcript.pyannote[275].start |
3495.92346875 |
transcript.pyannote[275].end |
3498.94409375 |
transcript.pyannote[276].speaker |
SPEAKER_03 |
transcript.pyannote[276].start |
3499.46721875 |
transcript.pyannote[276].end |
3543.54471875 |
transcript.pyannote[277].speaker |
SPEAKER_03 |
transcript.pyannote[277].start |
3544.00034375 |
transcript.pyannote[277].end |
3546.48096875 |
transcript.pyannote[278].speaker |
SPEAKER_03 |
transcript.pyannote[278].start |
3546.80159375 |
transcript.pyannote[278].end |
3547.72971875 |
transcript.pyannote[279].speaker |
SPEAKER_03 |
transcript.pyannote[279].start |
3548.47221875 |
transcript.pyannote[279].end |
3558.63096875 |
transcript.pyannote[280].speaker |
SPEAKER_03 |
transcript.pyannote[280].start |
3559.40721875 |
transcript.pyannote[280].end |
3566.24159375 |
transcript.pyannote[281].speaker |
SPEAKER_03 |
transcript.pyannote[281].start |
3566.84909375 |
transcript.pyannote[281].end |
3576.21471875 |
transcript.pyannote[282].speaker |
SPEAKER_03 |
transcript.pyannote[282].start |
3576.95721875 |
transcript.pyannote[282].end |
3592.51596875 |
transcript.pyannote[283].speaker |
SPEAKER_03 |
transcript.pyannote[283].start |
3593.35971875 |
transcript.pyannote[283].end |
3607.68659375 |
transcript.pyannote[284].speaker |
SPEAKER_03 |
transcript.pyannote[284].start |
3608.22659375 |
transcript.pyannote[284].end |
3619.33034375 |
transcript.pyannote[285].speaker |
SPEAKER_03 |
transcript.pyannote[285].start |
3619.92096875 |
transcript.pyannote[285].end |
3622.45221875 |
transcript.pyannote[286].speaker |
SPEAKER_03 |
transcript.pyannote[286].start |
3622.67159375 |
transcript.pyannote[286].end |
3628.51034375 |
transcript.pyannote[287].speaker |
SPEAKER_03 |
transcript.pyannote[287].start |
3628.98284375 |
transcript.pyannote[287].end |
3642.36471875 |
transcript.pyannote[288].speaker |
SPEAKER_06 |
transcript.pyannote[288].start |
3642.78659375 |
transcript.pyannote[288].end |
3649.03034375 |
transcript.pyannote[289].speaker |
SPEAKER_18 |
transcript.pyannote[289].start |
3648.43971875 |
transcript.pyannote[289].end |
3648.69284375 |
transcript.pyannote[290].speaker |
SPEAKER_18 |
transcript.pyannote[290].start |
3649.03034375 |
transcript.pyannote[290].end |
3741.37034375 |
transcript.pyannote[291].speaker |
SPEAKER_18 |
transcript.pyannote[291].start |
3741.79221875 |
transcript.pyannote[291].end |
3785.66721875 |
transcript.pyannote[292].speaker |
SPEAKER_18 |
transcript.pyannote[292].start |
3785.90346875 |
transcript.pyannote[292].end |
3788.95784375 |
transcript.pyannote[293].speaker |
SPEAKER_18 |
transcript.pyannote[293].start |
3789.44721875 |
transcript.pyannote[293].end |
3799.18409375 |
transcript.pyannote[294].speaker |
SPEAKER_18 |
transcript.pyannote[294].start |
3799.42034375 |
transcript.pyannote[294].end |
3851.17596875 |
transcript.pyannote[295].speaker |
SPEAKER_18 |
transcript.pyannote[295].start |
3851.58096875 |
transcript.pyannote[295].end |
3898.64534375 |
transcript.pyannote[296].speaker |
SPEAKER_18 |
transcript.pyannote[296].start |
3899.26971875 |
transcript.pyannote[296].end |
3899.89409375 |
transcript.pyannote[297].speaker |
SPEAKER_14 |
transcript.pyannote[297].start |
3899.89409375 |
transcript.pyannote[297].end |
3915.53721875 |
transcript.pyannote[298].speaker |
SPEAKER_14 |
transcript.pyannote[298].start |
3916.02659375 |
transcript.pyannote[298].end |
3953.60721875 |
transcript.pyannote[299].speaker |
SPEAKER_14 |
transcript.pyannote[299].start |
3953.91096875 |
transcript.pyannote[299].end |
3954.58596875 |
transcript.pyannote[300].speaker |
SPEAKER_14 |
transcript.pyannote[300].start |
3955.10909375 |
transcript.pyannote[300].end |
3963.93471875 |
transcript.pyannote[301].speaker |
SPEAKER_21 |
transcript.pyannote[301].start |
3963.93471875 |
transcript.pyannote[301].end |
3965.16659375 |
transcript.pyannote[302].speaker |
SPEAKER_19 |
transcript.pyannote[302].start |
3965.16659375 |
transcript.pyannote[302].end |
3965.50409375 |
transcript.pyannote[303].speaker |
SPEAKER_21 |
transcript.pyannote[303].start |
3965.50409375 |
transcript.pyannote[303].end |
3965.57159375 |
transcript.pyannote[304].speaker |
SPEAKER_19 |
transcript.pyannote[304].start |
3965.57159375 |
transcript.pyannote[304].end |
3965.62221875 |
transcript.pyannote[305].speaker |
SPEAKER_21 |
transcript.pyannote[305].start |
3965.62221875 |
transcript.pyannote[305].end |
3965.63909375 |
transcript.pyannote[306].speaker |
SPEAKER_14 |
transcript.pyannote[306].start |
3965.63909375 |
transcript.pyannote[306].end |
3965.97659375 |
transcript.pyannote[307].speaker |
SPEAKER_21 |
transcript.pyannote[307].start |
3965.65596875 |
transcript.pyannote[307].end |
3971.51159375 |
transcript.pyannote[308].speaker |
SPEAKER_14 |
transcript.pyannote[308].start |
3966.95534375 |
transcript.pyannote[308].end |
3966.97221875 |
transcript.pyannote[309].speaker |
SPEAKER_14 |
transcript.pyannote[309].start |
3966.98909375 |
transcript.pyannote[309].end |
3968.47409375 |
transcript.pyannote[310].speaker |
SPEAKER_14 |
transcript.pyannote[310].start |
3969.46971875 |
transcript.pyannote[310].end |
3969.84096875 |
transcript.pyannote[311].speaker |
SPEAKER_07 |
transcript.pyannote[311].start |
3971.51159375 |
transcript.pyannote[311].end |
3997.78596875 |
transcript.pyannote[312].speaker |
SPEAKER_21 |
transcript.pyannote[312].start |
3971.52846875 |
transcript.pyannote[312].end |
3971.83221875 |
transcript.pyannote[313].speaker |
SPEAKER_07 |
transcript.pyannote[313].start |
3998.00534375 |
transcript.pyannote[313].end |
4000.90784375 |
transcript.pyannote[314].speaker |
SPEAKER_14 |
transcript.pyannote[314].start |
4000.16534375 |
transcript.pyannote[314].end |
4013.17596875 |
transcript.pyannote[315].speaker |
SPEAKER_19 |
transcript.pyannote[315].start |
4007.55659375 |
transcript.pyannote[315].end |
4007.65784375 |
transcript.pyannote[316].speaker |
SPEAKER_19 |
transcript.pyannote[316].start |
4012.90596875 |
transcript.pyannote[316].end |
4013.85096875 |
transcript.pyannote[317].speaker |
SPEAKER_14 |
transcript.pyannote[317].start |
4013.54721875 |
transcript.pyannote[317].end |
4022.03534375 |
transcript.pyannote[318].speaker |
SPEAKER_03 |
transcript.pyannote[318].start |
4022.03534375 |
transcript.pyannote[318].end |
4022.10284375 |
transcript.pyannote[319].speaker |
SPEAKER_14 |
transcript.pyannote[319].start |
4022.10284375 |
transcript.pyannote[319].end |
4022.11971875 |
transcript.pyannote[320].speaker |
SPEAKER_03 |
transcript.pyannote[320].start |
4022.11971875 |
transcript.pyannote[320].end |
4022.13659375 |
transcript.pyannote[321].speaker |
SPEAKER_19 |
transcript.pyannote[321].start |
4022.13659375 |
transcript.pyannote[321].end |
4023.06471875 |
transcript.pyannote[322].speaker |
SPEAKER_03 |
transcript.pyannote[322].start |
4023.06471875 |
transcript.pyannote[322].end |
4030.82721875 |
transcript.pyannote[323].speaker |
SPEAKER_03 |
transcript.pyannote[323].start |
4031.01284375 |
transcript.pyannote[323].end |
4038.70784375 |
transcript.pyannote[324].speaker |
SPEAKER_03 |
transcript.pyannote[324].start |
4039.34909375 |
transcript.pyannote[324].end |
4046.38596875 |
transcript.pyannote[325].speaker |
SPEAKER_03 |
transcript.pyannote[325].start |
4046.79096875 |
transcript.pyannote[325].end |
4049.45721875 |
transcript.pyannote[326].speaker |
SPEAKER_03 |
transcript.pyannote[326].start |
4050.09846875 |
transcript.pyannote[326].end |
4057.87784375 |
transcript.pyannote[327].speaker |
SPEAKER_14 |
transcript.pyannote[327].start |
4057.65846875 |
transcript.pyannote[327].end |
4069.03221875 |
transcript.pyannote[328].speaker |
SPEAKER_19 |
transcript.pyannote[328].start |
4068.34034375 |
transcript.pyannote[328].end |
4069.09971875 |
transcript.pyannote[329].speaker |
SPEAKER_17 |
transcript.pyannote[329].start |
4069.03221875 |
transcript.pyannote[329].end |
4070.23034375 |
transcript.pyannote[330].speaker |
SPEAKER_19 |
transcript.pyannote[330].start |
4069.67346875 |
transcript.pyannote[330].end |
4071.68159375 |
transcript.pyannote[331].speaker |
SPEAKER_17 |
transcript.pyannote[331].start |
4071.51284375 |
transcript.pyannote[331].end |
4085.14784375 |
transcript.pyannote[332].speaker |
SPEAKER_00 |
transcript.pyannote[332].start |
4082.90346875 |
transcript.pyannote[332].end |
4083.61221875 |
transcript.pyannote[333].speaker |
SPEAKER_17 |
transcript.pyannote[333].start |
4085.63721875 |
transcript.pyannote[333].end |
4093.63596875 |
transcript.pyannote[334].speaker |
SPEAKER_20 |
transcript.pyannote[334].start |
4090.15971875 |
transcript.pyannote[334].end |
4090.44659375 |
transcript.pyannote[335].speaker |
SPEAKER_20 |
transcript.pyannote[335].start |
4090.93596875 |
transcript.pyannote[335].end |
4091.20596875 |
transcript.pyannote[336].speaker |
SPEAKER_20 |
transcript.pyannote[336].start |
4093.26471875 |
transcript.pyannote[336].end |
4105.24596875 |
transcript.pyannote[337].speaker |
SPEAKER_17 |
transcript.pyannote[337].start |
4097.38221875 |
transcript.pyannote[337].end |
4098.64784375 |
transcript.pyannote[338].speaker |
SPEAKER_14 |
transcript.pyannote[338].start |
4098.64784375 |
transcript.pyannote[338].end |
4098.66471875 |
transcript.pyannote[339].speaker |
SPEAKER_14 |
transcript.pyannote[339].start |
4103.49096875 |
transcript.pyannote[339].end |
4106.96721875 |
transcript.pyannote[340].speaker |
SPEAKER_20 |
transcript.pyannote[340].start |
4106.86596875 |
transcript.pyannote[340].end |
4107.27096875 |
transcript.pyannote[341].speaker |
SPEAKER_02 |
transcript.pyannote[341].start |
4106.96721875 |
transcript.pyannote[341].end |
4107.77721875 |
transcript.pyannote[342].speaker |
SPEAKER_19 |
transcript.pyannote[342].start |
4107.27096875 |
transcript.pyannote[342].end |
4107.28784375 |
transcript.pyannote[343].speaker |
SPEAKER_20 |
transcript.pyannote[343].start |
4107.28784375 |
transcript.pyannote[343].end |
4107.42284375 |
transcript.pyannote[344].speaker |
SPEAKER_19 |
transcript.pyannote[344].start |
4107.42284375 |
transcript.pyannote[344].end |
4107.59159375 |
transcript.pyannote[345].speaker |
SPEAKER_20 |
transcript.pyannote[345].start |
4107.59159375 |
transcript.pyannote[345].end |
4107.65909375 |
transcript.pyannote[346].speaker |
SPEAKER_19 |
transcript.pyannote[346].start |
4107.65909375 |
transcript.pyannote[346].end |
4107.86159375 |
transcript.pyannote[347].speaker |
SPEAKER_20 |
transcript.pyannote[347].start |
4107.77721875 |
transcript.pyannote[347].end |
4107.81096875 |
transcript.pyannote[348].speaker |
SPEAKER_20 |
transcript.pyannote[348].start |
4107.86159375 |
transcript.pyannote[348].end |
4108.08096875 |
transcript.pyannote[349].speaker |
SPEAKER_02 |
transcript.pyannote[349].start |
4108.70534375 |
transcript.pyannote[349].end |
4137.67971875 |
transcript.pyannote[350].speaker |
SPEAKER_02 |
transcript.pyannote[350].start |
4138.18596875 |
transcript.pyannote[350].end |
4142.97846875 |
transcript.pyannote[351].speaker |
SPEAKER_03 |
transcript.pyannote[351].start |
4142.97846875 |
transcript.pyannote[351].end |
4148.74971875 |
transcript.pyannote[352].speaker |
SPEAKER_03 |
transcript.pyannote[352].start |
4148.96909375 |
transcript.pyannote[352].end |
4157.60909375 |
transcript.pyannote[353].speaker |
SPEAKER_15 |
transcript.pyannote[353].start |
4152.00659375 |
transcript.pyannote[353].end |
4152.96846875 |
transcript.pyannote[354].speaker |
SPEAKER_02 |
transcript.pyannote[354].start |
4154.79096875 |
transcript.pyannote[354].end |
4156.96784375 |
transcript.pyannote[355].speaker |
SPEAKER_03 |
transcript.pyannote[355].start |
4158.18284375 |
transcript.pyannote[355].end |
4164.32534375 |
transcript.pyannote[356].speaker |
SPEAKER_02 |
transcript.pyannote[356].start |
4158.70596875 |
transcript.pyannote[356].end |
4161.65909375 |
transcript.pyannote[357].speaker |
SPEAKER_03 |
transcript.pyannote[357].start |
4165.10159375 |
transcript.pyannote[357].end |
4167.37971875 |
transcript.pyannote[358].speaker |
SPEAKER_02 |
transcript.pyannote[358].start |
4166.55284375 |
transcript.pyannote[358].end |
4172.25659375 |
transcript.pyannote[359].speaker |
SPEAKER_03 |
transcript.pyannote[359].start |
4168.35846875 |
transcript.pyannote[359].end |
4169.75909375 |
transcript.pyannote[360].speaker |
SPEAKER_03 |
transcript.pyannote[360].start |
4172.25659375 |
transcript.pyannote[360].end |
4173.70784375 |
transcript.pyannote[361].speaker |
SPEAKER_19 |
transcript.pyannote[361].start |
4174.50096875 |
transcript.pyannote[361].end |
4175.53034375 |
transcript.pyannote[362].speaker |
SPEAKER_03 |
transcript.pyannote[362].start |
4175.53034375 |
transcript.pyannote[362].end |
4175.61471875 |
transcript.pyannote[363].speaker |
SPEAKER_14 |
transcript.pyannote[363].start |
4175.61471875 |
transcript.pyannote[363].end |
4175.81721875 |
transcript.pyannote[364].speaker |
SPEAKER_03 |
transcript.pyannote[364].start |
4175.81721875 |
transcript.pyannote[364].end |
4175.95221875 |
transcript.pyannote[365].speaker |
SPEAKER_02 |
transcript.pyannote[365].start |
4175.95221875 |
transcript.pyannote[365].end |
4176.03659375 |
transcript.pyannote[366].speaker |
SPEAKER_14 |
transcript.pyannote[366].start |
4176.03659375 |
transcript.pyannote[366].end |
4178.95596875 |
transcript.pyannote[367].speaker |
SPEAKER_19 |
transcript.pyannote[367].start |
4176.20534375 |
transcript.pyannote[367].end |
4176.28971875 |
transcript.pyannote[368].speaker |
SPEAKER_02 |
transcript.pyannote[368].start |
4176.28971875 |
transcript.pyannote[368].end |
4176.32346875 |
transcript.pyannote[369].speaker |
SPEAKER_19 |
transcript.pyannote[369].start |
4176.32346875 |
transcript.pyannote[369].end |
4176.49221875 |
transcript.pyannote[370].speaker |
SPEAKER_02 |
transcript.pyannote[370].start |
4176.49221875 |
transcript.pyannote[370].end |
4176.52596875 |
transcript.pyannote[371].speaker |
SPEAKER_19 |
transcript.pyannote[371].start |
4176.52596875 |
transcript.pyannote[371].end |
4176.59346875 |
transcript.pyannote[372].speaker |
SPEAKER_02 |
transcript.pyannote[372].start |
4176.59346875 |
transcript.pyannote[372].end |
4176.61034375 |
transcript.pyannote[373].speaker |
SPEAKER_19 |
transcript.pyannote[373].start |
4176.61034375 |
transcript.pyannote[373].end |
4176.89721875 |
transcript.pyannote[374].speaker |
SPEAKER_03 |
transcript.pyannote[374].start |
4176.89721875 |
transcript.pyannote[374].end |
4176.91409375 |
transcript.pyannote[375].speaker |
SPEAKER_19 |
transcript.pyannote[375].start |
4176.91409375 |
transcript.pyannote[375].end |
4179.49596875 |
transcript.pyannote[376].speaker |
SPEAKER_14 |
transcript.pyannote[376].start |
4179.49596875 |
transcript.pyannote[376].end |
4189.06409375 |
transcript.pyannote[377].speaker |
SPEAKER_19 |
transcript.pyannote[377].start |
4179.54659375 |
transcript.pyannote[377].end |
4179.61409375 |
transcript.pyannote[378].speaker |
SPEAKER_19 |
transcript.pyannote[378].start |
4184.72721875 |
transcript.pyannote[378].end |
4185.23346875 |
transcript.pyannote[379].speaker |
SPEAKER_19 |
transcript.pyannote[379].start |
4188.97971875 |
transcript.pyannote[379].end |
4189.97534375 |
transcript.pyannote[380].speaker |
SPEAKER_14 |
transcript.pyannote[380].start |
4189.38471875 |
transcript.pyannote[380].end |
4196.11784375 |
transcript.pyannote[381].speaker |
SPEAKER_19 |
transcript.pyannote[381].start |
4191.62909375 |
transcript.pyannote[381].end |
4191.74721875 |
transcript.pyannote[382].speaker |
SPEAKER_19 |
transcript.pyannote[382].start |
4196.11784375 |
transcript.pyannote[382].end |
4196.86034375 |
transcript.pyannote[383].speaker |
SPEAKER_14 |
transcript.pyannote[383].start |
4196.50596875 |
transcript.pyannote[383].end |
4237.39409375 |
transcript.pyannote[384].speaker |
SPEAKER_14 |
transcript.pyannote[384].start |
4238.72721875 |
transcript.pyannote[384].end |
4246.03409375 |
transcript.pyannote[385].speaker |
SPEAKER_14 |
transcript.pyannote[385].start |
4246.33784375 |
transcript.pyannote[385].end |
4257.15471875 |
transcript.pyannote[386].speaker |
SPEAKER_14 |
transcript.pyannote[386].start |
4257.50909375 |
transcript.pyannote[386].end |
4258.36971875 |
transcript.pyannote[387].speaker |
SPEAKER_06 |
transcript.pyannote[387].start |
4259.60159375 |
transcript.pyannote[387].end |
4262.57159375 |
transcript.pyannote[388].speaker |
SPEAKER_06 |
transcript.pyannote[388].start |
4264.27596875 |
transcript.pyannote[388].end |
4264.30971875 |
transcript.pyannote[389].speaker |
SPEAKER_08 |
transcript.pyannote[389].start |
4264.30971875 |
transcript.pyannote[389].end |
4355.73846875 |
transcript.pyannote[390].speaker |
SPEAKER_00 |
transcript.pyannote[390].start |
4331.23596875 |
transcript.pyannote[390].end |
4332.26534375 |
transcript.pyannote[391].speaker |
SPEAKER_19 |
transcript.pyannote[391].start |
4355.73846875 |
transcript.pyannote[391].end |
4355.83971875 |
transcript.pyannote[392].speaker |
SPEAKER_08 |
transcript.pyannote[392].start |
4355.83971875 |
transcript.pyannote[392].end |
4355.92409375 |
transcript.pyannote[393].speaker |
SPEAKER_19 |
transcript.pyannote[393].start |
4355.92409375 |
transcript.pyannote[393].end |
4356.32909375 |
transcript.pyannote[394].speaker |
SPEAKER_06 |
transcript.pyannote[394].start |
4357.02096875 |
transcript.pyannote[394].end |
4358.97846875 |
transcript.pyannote[395].speaker |
SPEAKER_11 |
transcript.pyannote[395].start |
4358.97846875 |
transcript.pyannote[395].end |
4359.24846875 |
transcript.pyannote[396].speaker |
SPEAKER_11 |
transcript.pyannote[396].start |
4360.14284375 |
transcript.pyannote[396].end |
4360.58159375 |
transcript.pyannote[397].speaker |
SPEAKER_11 |
transcript.pyannote[397].start |
4361.56034375 |
transcript.pyannote[397].end |
4364.19284375 |
transcript.pyannote[398].speaker |
SPEAKER_11 |
transcript.pyannote[398].start |
4364.69909375 |
transcript.pyannote[398].end |
4376.64659375 |
transcript.pyannote[399].speaker |
SPEAKER_11 |
transcript.pyannote[399].start |
4376.71409375 |
transcript.pyannote[399].end |
4442.86409375 |
transcript.pyannote[400].speaker |
SPEAKER_11 |
transcript.pyannote[400].start |
4443.21846875 |
transcript.pyannote[400].end |
4476.68159375 |
transcript.pyannote[401].speaker |
SPEAKER_11 |
transcript.pyannote[401].start |
4477.05284375 |
transcript.pyannote[401].end |
4477.35659375 |
transcript.pyannote[402].speaker |
SPEAKER_11 |
transcript.pyannote[402].start |
4478.09909375 |
transcript.pyannote[402].end |
4487.68409375 |
transcript.pyannote[403].speaker |
SPEAKER_11 |
transcript.pyannote[403].start |
4487.92034375 |
transcript.pyannote[403].end |
4537.88721875 |
transcript.pyannote[404].speaker |
SPEAKER_11 |
transcript.pyannote[404].start |
4538.46096875 |
transcript.pyannote[404].end |
4541.02596875 |
transcript.pyannote[405].speaker |
SPEAKER_11 |
transcript.pyannote[405].start |
4541.56596875 |
transcript.pyannote[405].end |
4567.35096875 |
transcript.pyannote[406].speaker |
SPEAKER_11 |
transcript.pyannote[406].start |
4567.60409375 |
transcript.pyannote[406].end |
4575.21471875 |
transcript.pyannote[407].speaker |
SPEAKER_11 |
transcript.pyannote[407].start |
4575.55221875 |
transcript.pyannote[407].end |
4577.64471875 |
transcript.pyannote[408].speaker |
SPEAKER_11 |
transcript.pyannote[408].start |
4578.10034375 |
transcript.pyannote[408].end |
4580.68221875 |
transcript.pyannote[409].speaker |
SPEAKER_11 |
transcript.pyannote[409].start |
4580.85096875 |
transcript.pyannote[409].end |
4595.31284375 |
transcript.pyannote[410].speaker |
SPEAKER_11 |
transcript.pyannote[410].start |
4596.32534375 |
transcript.pyannote[410].end |
4610.95596875 |
transcript.pyannote[411].speaker |
SPEAKER_11 |
transcript.pyannote[411].start |
4611.52971875 |
transcript.pyannote[411].end |
4613.53784375 |
transcript.pyannote[412].speaker |
SPEAKER_11 |
transcript.pyannote[412].start |
4613.60534375 |
transcript.pyannote[412].end |
4623.22409375 |
transcript.pyannote[413].speaker |
SPEAKER_11 |
transcript.pyannote[413].start |
4623.71346875 |
transcript.pyannote[413].end |
4631.03721875 |
transcript.pyannote[414].speaker |
SPEAKER_11 |
transcript.pyannote[414].start |
4632.01596875 |
transcript.pyannote[414].end |
4637.70284375 |
transcript.pyannote[415].speaker |
SPEAKER_11 |
transcript.pyannote[415].start |
4638.29346875 |
transcript.pyannote[415].end |
4667.87534375 |
transcript.pyannote[416].speaker |
SPEAKER_11 |
transcript.pyannote[416].start |
4668.17909375 |
transcript.pyannote[416].end |
4674.67596875 |
transcript.pyannote[417].speaker |
SPEAKER_11 |
transcript.pyannote[417].start |
4675.28346875 |
transcript.pyannote[417].end |
4679.41784375 |
transcript.pyannote[418].speaker |
SPEAKER_11 |
transcript.pyannote[418].start |
4680.05909375 |
transcript.pyannote[418].end |
4691.87159375 |
transcript.pyannote[419].speaker |
SPEAKER_11 |
transcript.pyannote[419].start |
4692.47909375 |
transcript.pyannote[419].end |
4703.58284375 |
transcript.pyannote[420].speaker |
SPEAKER_11 |
transcript.pyannote[420].start |
4703.93721875 |
transcript.pyannote[420].end |
4718.65221875 |
transcript.pyannote[421].speaker |
SPEAKER_11 |
transcript.pyannote[421].start |
4718.77034375 |
transcript.pyannote[421].end |
4725.04784375 |
transcript.pyannote[422].speaker |
SPEAKER_04 |
transcript.pyannote[422].start |
4725.26721875 |
transcript.pyannote[422].end |
4725.28409375 |
transcript.pyannote[423].speaker |
SPEAKER_11 |
transcript.pyannote[423].start |
4725.28409375 |
transcript.pyannote[423].end |
4726.06034375 |
transcript.pyannote[424].speaker |
SPEAKER_04 |
transcript.pyannote[424].start |
4726.06034375 |
transcript.pyannote[424].end |
4726.24596875 |
transcript.pyannote[425].speaker |
SPEAKER_11 |
transcript.pyannote[425].start |
4726.24596875 |
transcript.pyannote[425].end |
4726.26284375 |
transcript.pyannote[426].speaker |
SPEAKER_04 |
transcript.pyannote[426].start |
4726.26284375 |
transcript.pyannote[426].end |
4783.13159375 |
transcript.pyannote[427].speaker |
SPEAKER_04 |
transcript.pyannote[427].start |
4784.11034375 |
transcript.pyannote[427].end |
4810.38471875 |
transcript.pyannote[428].speaker |
SPEAKER_06 |
transcript.pyannote[428].start |
4811.81909375 |
transcript.pyannote[428].end |
4813.45596875 |
transcript.pyannote[429].speaker |
SPEAKER_14 |
transcript.pyannote[429].start |
4814.28284375 |
transcript.pyannote[429].end |
4833.95909375 |
transcript.pyannote[430].speaker |
SPEAKER_14 |
transcript.pyannote[430].start |
4836.27096875 |
transcript.pyannote[430].end |
4865.75159375 |
transcript.pyannote[431].speaker |
SPEAKER_11 |
transcript.pyannote[431].start |
4865.53221875 |
transcript.pyannote[431].end |
4873.34534375 |
transcript.pyannote[432].speaker |
SPEAKER_14 |
transcript.pyannote[432].start |
4872.99096875 |
transcript.pyannote[432].end |
4898.80971875 |
transcript.pyannote[433].speaker |
SPEAKER_14 |
transcript.pyannote[433].start |
4899.28221875 |
transcript.pyannote[433].end |
4902.37034375 |
transcript.pyannote[434].speaker |
SPEAKER_14 |
transcript.pyannote[434].start |
4902.65721875 |
transcript.pyannote[434].end |
4912.63034375 |
transcript.pyannote[435].speaker |
SPEAKER_14 |
transcript.pyannote[435].start |
4913.20409375 |
transcript.pyannote[435].end |
4916.39346875 |
transcript.pyannote[436].speaker |
SPEAKER_14 |
transcript.pyannote[436].start |
4916.95034375 |
transcript.pyannote[436].end |
4949.09721875 |
transcript.pyannote[437].speaker |
SPEAKER_06 |
transcript.pyannote[437].start |
4951.12221875 |
transcript.pyannote[437].end |
4954.44659375 |
transcript.pyannote[438].speaker |
SPEAKER_06 |
transcript.pyannote[438].start |
4955.39159375 |
transcript.pyannote[438].end |
4956.43784375 |
transcript.pyannote[439].speaker |
SPEAKER_06 |
transcript.pyannote[439].start |
4957.83846875 |
transcript.pyannote[439].end |
4958.46284375 |
transcript.pyannote[440].speaker |
SPEAKER_06 |
transcript.pyannote[440].start |
4960.20096875 |
transcript.pyannote[440].end |
4961.50034375 |
transcript.pyannote[441].speaker |
SPEAKER_06 |
transcript.pyannote[441].start |
4962.36096875 |
transcript.pyannote[441].end |
4964.48721875 |
transcript.pyannote[442].speaker |
SPEAKER_19 |
transcript.pyannote[442].start |
4966.12409375 |
transcript.pyannote[442].end |
4966.30971875 |
transcript.pyannote[443].speaker |
SPEAKER_06 |
transcript.pyannote[443].start |
4966.41096875 |
transcript.pyannote[443].end |
4967.13659375 |
transcript.pyannote[444].speaker |
SPEAKER_11 |
transcript.pyannote[444].start |
4967.13659375 |
transcript.pyannote[444].end |
4973.41409375 |
transcript.pyannote[445].speaker |
SPEAKER_14 |
transcript.pyannote[445].start |
4973.07659375 |
transcript.pyannote[445].end |
4974.32534375 |
transcript.pyannote[446].speaker |
SPEAKER_11 |
transcript.pyannote[446].start |
4974.32534375 |
transcript.pyannote[446].end |
4975.03409375 |
transcript.pyannote[447].speaker |
SPEAKER_06 |
transcript.pyannote[447].start |
4975.03409375 |
transcript.pyannote[447].end |
4975.06784375 |
transcript.pyannote[448].speaker |
SPEAKER_11 |
transcript.pyannote[448].start |
4975.06784375 |
transcript.pyannote[448].end |
4975.10159375 |
transcript.pyannote[449].speaker |
SPEAKER_14 |
transcript.pyannote[449].start |
4977.27846875 |
transcript.pyannote[449].end |
4978.57784375 |
transcript.pyannote[450].speaker |
SPEAKER_06 |
transcript.pyannote[450].start |
4978.71284375 |
transcript.pyannote[450].end |
4981.41284375 |
transcript.pyannote[451].speaker |
SPEAKER_06 |
transcript.pyannote[451].start |
4982.79659375 |
transcript.pyannote[451].end |
5001.25784375 |
transcript.pyannote[452].speaker |
SPEAKER_06 |
transcript.pyannote[452].start |
5001.88221875 |
transcript.pyannote[452].end |
5010.70784375 |
transcript.pyannote[453].speaker |
SPEAKER_06 |
transcript.pyannote[453].start |
5011.24784375 |
transcript.pyannote[453].end |
5013.40784375 |
transcript.pyannote[454].speaker |
SPEAKER_06 |
transcript.pyannote[454].start |
5015.24721875 |
transcript.pyannote[454].end |
5047.91721875 |
transcript.pyannote[455].speaker |
SPEAKER_06 |
transcript.pyannote[455].start |
5048.17034375 |
transcript.pyannote[455].end |
5062.85159375 |
transcript.pyannote[456].speaker |
SPEAKER_06 |
transcript.pyannote[456].start |
5063.47596875 |
transcript.pyannote[456].end |
5066.29409375 |
transcript.pyannote[457].speaker |
SPEAKER_06 |
transcript.pyannote[457].start |
5067.10409375 |
transcript.pyannote[457].end |
5070.02346875 |
transcript.pyannote[458].speaker |
SPEAKER_06 |
transcript.pyannote[458].start |
5070.51284375 |
transcript.pyannote[458].end |
5071.45784375 |
transcript.pyannote[459].speaker |
SPEAKER_06 |
transcript.pyannote[459].start |
5074.68096875 |
transcript.pyannote[459].end |
5098.87971875 |
transcript.pyannote[460].speaker |
SPEAKER_06 |
transcript.pyannote[460].start |
5102.44034375 |
transcript.pyannote[460].end |
5103.63846875 |
transcript.pyannote[461].speaker |
SPEAKER_06 |
transcript.pyannote[461].start |
5104.53284375 |
transcript.pyannote[461].end |
5110.37159375 |
transcript.pyannote[462].speaker |
SPEAKER_06 |
transcript.pyannote[462].start |
5112.49784375 |
transcript.pyannote[462].end |
5121.01971875 |
transcript.pyannote[463].speaker |
SPEAKER_08 |
transcript.pyannote[463].start |
5122.69034375 |
transcript.pyannote[463].end |
5147.22659375 |
transcript.pyannote[464].speaker |
SPEAKER_08 |
transcript.pyannote[464].start |
5148.57659375 |
transcript.pyannote[464].end |
5177.04471875 |
transcript.pyannote[465].speaker |
SPEAKER_08 |
transcript.pyannote[465].start |
5177.50034375 |
transcript.pyannote[465].end |
5185.31346875 |
transcript.pyannote[466].speaker |
SPEAKER_08 |
transcript.pyannote[466].start |
5185.90409375 |
transcript.pyannote[466].end |
5200.77096875 |
transcript.pyannote[467].speaker |
SPEAKER_06 |
transcript.pyannote[467].start |
5201.29409375 |
transcript.pyannote[467].end |
5202.96471875 |
transcript.pyannote[468].speaker |
SPEAKER_11 |
transcript.pyannote[468].start |
5202.96471875 |
transcript.pyannote[468].end |
5203.23471875 |
transcript.pyannote[469].speaker |
SPEAKER_11 |
transcript.pyannote[469].start |
5204.92221875 |
transcript.pyannote[469].end |
5228.56409375 |
transcript.pyannote[470].speaker |
SPEAKER_11 |
transcript.pyannote[470].start |
5229.18846875 |
transcript.pyannote[470].end |
5253.89346875 |
transcript.pyannote[471].speaker |
SPEAKER_11 |
transcript.pyannote[471].start |
5254.66971875 |
transcript.pyannote[471].end |
5257.33596875 |
transcript.pyannote[472].speaker |
SPEAKER_11 |
transcript.pyannote[472].start |
5259.39471875 |
transcript.pyannote[472].end |
5280.26909375 |
transcript.pyannote[473].speaker |
SPEAKER_06 |
transcript.pyannote[473].start |
5281.26471875 |
transcript.pyannote[473].end |
5282.14221875 |
transcript.pyannote[474].speaker |
SPEAKER_11 |
transcript.pyannote[474].start |
5282.14221875 |
transcript.pyannote[474].end |
5282.17596875 |
transcript.pyannote[475].speaker |
SPEAKER_14 |
transcript.pyannote[475].start |
5282.17596875 |
transcript.pyannote[475].end |
5307.87659375 |
transcript.pyannote[476].speaker |
SPEAKER_14 |
transcript.pyannote[476].start |
5308.55159375 |
transcript.pyannote[476].end |
5326.82721875 |
transcript.pyannote[477].speaker |
SPEAKER_00 |
transcript.pyannote[477].start |
5325.59534375 |
transcript.pyannote[477].end |
5326.00034375 |
transcript.pyannote[478].speaker |
SPEAKER_00 |
transcript.pyannote[478].start |
5326.01721875 |
transcript.pyannote[478].end |
5340.15846875 |
transcript.pyannote[479].speaker |
SPEAKER_00 |
transcript.pyannote[479].start |
5340.91784375 |
transcript.pyannote[479].end |
5348.32596875 |
transcript.pyannote[480].speaker |
SPEAKER_00 |
transcript.pyannote[480].start |
5348.56221875 |
transcript.pyannote[480].end |
5349.15284375 |
transcript.pyannote[481].speaker |
SPEAKER_19 |
transcript.pyannote[481].start |
5349.45659375 |
transcript.pyannote[481].end |
5350.38471875 |
transcript.pyannote[482].speaker |
SPEAKER_00 |
transcript.pyannote[482].start |
5350.38471875 |
transcript.pyannote[482].end |
5376.47346875 |
transcript.pyannote[483].speaker |
SPEAKER_00 |
transcript.pyannote[483].start |
5376.67596875 |
transcript.pyannote[483].end |
5380.99596875 |
transcript.pyannote[484].speaker |
SPEAKER_14 |
transcript.pyannote[484].start |
5381.46846875 |
transcript.pyannote[484].end |
5402.81534375 |
transcript.pyannote[485].speaker |
SPEAKER_11 |
transcript.pyannote[485].start |
5403.25409375 |
transcript.pyannote[485].end |
5405.70096875 |
transcript.pyannote[486].speaker |
SPEAKER_11 |
transcript.pyannote[486].start |
5406.20721875 |
transcript.pyannote[486].end |
5411.13471875 |
transcript.pyannote[487].speaker |
SPEAKER_11 |
transcript.pyannote[487].start |
5411.48909375 |
transcript.pyannote[487].end |
5413.66596875 |
transcript.pyannote[488].speaker |
SPEAKER_11 |
transcript.pyannote[488].start |
5414.12159375 |
transcript.pyannote[488].end |
5419.23471875 |
transcript.pyannote[489].speaker |
SPEAKER_11 |
transcript.pyannote[489].start |
5419.92659375 |
transcript.pyannote[489].end |
5434.79346875 |
transcript.pyannote[490].speaker |
SPEAKER_00 |
transcript.pyannote[490].start |
5432.41409375 |
transcript.pyannote[490].end |
5432.43096875 |
transcript.pyannote[491].speaker |
SPEAKER_19 |
transcript.pyannote[491].start |
5432.43096875 |
transcript.pyannote[491].end |
5434.55721875 |
transcript.pyannote[492].speaker |
SPEAKER_11 |
transcript.pyannote[492].start |
5435.04659375 |
transcript.pyannote[492].end |
5450.14971875 |
transcript.pyannote[493].speaker |
SPEAKER_19 |
transcript.pyannote[493].start |
5442.15096875 |
transcript.pyannote[493].end |
5442.16784375 |
transcript.pyannote[494].speaker |
SPEAKER_00 |
transcript.pyannote[494].start |
5442.16784375 |
transcript.pyannote[494].end |
5442.18471875 |
transcript.pyannote[495].speaker |
SPEAKER_16 |
transcript.pyannote[495].start |
5445.64409375 |
transcript.pyannote[495].end |
5445.88034375 |
transcript.pyannote[496].speaker |
SPEAKER_06 |
transcript.pyannote[496].start |
5447.87159375 |
transcript.pyannote[496].end |
5450.01471875 |
transcript.pyannote[497].speaker |
SPEAKER_06 |
transcript.pyannote[497].start |
5450.14971875 |
transcript.pyannote[497].end |
5450.48721875 |
transcript.pyannote[498].speaker |
SPEAKER_11 |
transcript.pyannote[498].start |
5450.48721875 |
transcript.pyannote[498].end |
5451.01034375 |
transcript.pyannote[499].speaker |
SPEAKER_06 |
transcript.pyannote[499].start |
5450.70659375 |
transcript.pyannote[499].end |
5450.99346875 |
transcript.pyannote[500].speaker |
SPEAKER_06 |
transcript.pyannote[500].start |
5451.01034375 |
transcript.pyannote[500].end |
5451.21284375 |
transcript.pyannote[501].speaker |
SPEAKER_06 |
transcript.pyannote[501].start |
5452.22534375 |
transcript.pyannote[501].end |
5458.65471875 |
transcript.pyannote[502].speaker |
SPEAKER_16 |
transcript.pyannote[502].start |
5461.10159375 |
transcript.pyannote[502].end |
5462.28284375 |
transcript.pyannote[503].speaker |
SPEAKER_16 |
transcript.pyannote[503].start |
5462.72159375 |
transcript.pyannote[503].end |
5464.99971875 |
transcript.pyannote[504].speaker |
SPEAKER_16 |
transcript.pyannote[504].start |
5465.47221875 |
transcript.pyannote[504].end |
5539.09784375 |
transcript.pyannote[505].speaker |
SPEAKER_14 |
transcript.pyannote[505].start |
5540.78534375 |
transcript.pyannote[505].end |
5542.10159375 |
transcript.pyannote[506].speaker |
SPEAKER_14 |
transcript.pyannote[506].start |
5543.38409375 |
transcript.pyannote[506].end |
5544.44721875 |
transcript.pyannote[507].speaker |
SPEAKER_06 |
transcript.pyannote[507].start |
5544.22784375 |
transcript.pyannote[507].end |
5545.10534375 |
transcript.pyannote[508].speaker |
SPEAKER_14 |
transcript.pyannote[508].start |
5545.10534375 |
transcript.pyannote[508].end |
5546.13471875 |
transcript.pyannote[509].speaker |
SPEAKER_14 |
transcript.pyannote[509].start |
5546.57346875 |
transcript.pyannote[509].end |
5548.58159375 |
transcript.pyannote[510].speaker |
SPEAKER_14 |
transcript.pyannote[510].start |
5549.30721875 |
transcript.pyannote[510].end |
5554.38659375 |
transcript.pyannote[511].speaker |
SPEAKER_14 |
transcript.pyannote[511].start |
5554.80846875 |
transcript.pyannote[511].end |
5557.35659375 |
transcript.pyannote[512].speaker |
SPEAKER_14 |
transcript.pyannote[512].start |
5557.62659375 |
transcript.pyannote[512].end |
5577.94409375 |
transcript.pyannote[513].speaker |
SPEAKER_16 |
transcript.pyannote[513].start |
5577.89346875 |
transcript.pyannote[513].end |
5580.76221875 |
transcript.pyannote[514].speaker |
SPEAKER_14 |
transcript.pyannote[514].start |
5578.06221875 |
transcript.pyannote[514].end |
5579.19284375 |
transcript.pyannote[515].speaker |
SPEAKER_14 |
transcript.pyannote[515].start |
5580.32346875 |
transcript.pyannote[515].end |
5591.17409375 |
transcript.pyannote[516].speaker |
SPEAKER_16 |
transcript.pyannote[516].start |
5583.81659375 |
transcript.pyannote[516].end |
5584.42409375 |
transcript.pyannote[517].speaker |
SPEAKER_06 |
transcript.pyannote[517].start |
5590.65096875 |
transcript.pyannote[517].end |
5592.89534375 |
transcript.pyannote[518].speaker |
SPEAKER_14 |
transcript.pyannote[518].start |
5591.62971875 |
transcript.pyannote[518].end |
5592.77721875 |
transcript.pyannote[519].speaker |
SPEAKER_16 |
transcript.pyannote[519].start |
5592.77721875 |
transcript.pyannote[519].end |
5592.81096875 |
transcript.pyannote[520].speaker |
SPEAKER_06 |
transcript.pyannote[520].start |
5593.68846875 |
transcript.pyannote[520].end |
5597.21534375 |
transcript.pyannote[521].speaker |
SPEAKER_06 |
transcript.pyannote[521].start |
5597.67096875 |
transcript.pyannote[521].end |
5600.38784375 |
transcript.pyannote[522].speaker |
SPEAKER_06 |
transcript.pyannote[522].start |
5601.36659375 |
transcript.pyannote[522].end |
5602.37909375 |
transcript.pyannote[523].speaker |
SPEAKER_06 |
transcript.pyannote[523].start |
5603.76284375 |
transcript.pyannote[523].end |
5604.64034375 |
transcript.pyannote[524].speaker |
SPEAKER_06 |
transcript.pyannote[524].start |
5604.97784375 |
transcript.pyannote[524].end |
5606.27721875 |
transcript.pyannote[525].speaker |
SPEAKER_06 |
transcript.pyannote[525].start |
5606.69909375 |
transcript.pyannote[525].end |
5608.69034375 |
transcript.pyannote[526].speaker |
SPEAKER_06 |
transcript.pyannote[526].start |
5610.78284375 |
transcript.pyannote[526].end |
5611.45784375 |
transcript.pyannote[527].speaker |
SPEAKER_06 |
transcript.pyannote[527].start |
5611.98096875 |
transcript.pyannote[527].end |
5613.09471875 |
transcript.pyannote[528].speaker |
SPEAKER_06 |
transcript.pyannote[528].start |
5614.29284375 |
transcript.pyannote[528].end |
5614.84971875 |
transcript.pyannote[529].speaker |
SPEAKER_14 |
transcript.pyannote[529].start |
5616.11534375 |
transcript.pyannote[529].end |
5616.52034375 |
transcript.pyannote[530].speaker |
SPEAKER_14 |
transcript.pyannote[530].start |
5617.02659375 |
transcript.pyannote[530].end |
5619.77721875 |
transcript.pyannote[531].speaker |
SPEAKER_14 |
transcript.pyannote[531].start |
5619.96284375 |
transcript.pyannote[531].end |
5624.70471875 |
transcript.pyannote[532].speaker |
SPEAKER_14 |
transcript.pyannote[532].start |
5625.34596875 |
transcript.pyannote[532].end |
5631.55596875 |
transcript.pyannote[533].speaker |
SPEAKER_19 |
transcript.pyannote[533].start |
5631.69096875 |
transcript.pyannote[533].end |
5632.06221875 |
transcript.pyannote[534].speaker |
SPEAKER_14 |
transcript.pyannote[534].start |
5632.66971875 |
transcript.pyannote[534].end |
5633.19284375 |
transcript.pyannote[535].speaker |
SPEAKER_14 |
transcript.pyannote[535].start |
5634.10409375 |
transcript.pyannote[535].end |
5635.74096875 |
transcript.pyannote[536].speaker |
SPEAKER_14 |
transcript.pyannote[536].start |
5635.99409375 |
transcript.pyannote[536].end |
5636.02784375 |
transcript.pyannote[537].speaker |
SPEAKER_14 |
transcript.pyannote[537].start |
5636.06159375 |
transcript.pyannote[537].end |
5636.78721875 |
transcript.pyannote[538].speaker |
SPEAKER_06 |
transcript.pyannote[538].start |
5636.95596875 |
transcript.pyannote[538].end |
5636.97284375 |
transcript.pyannote[539].speaker |
SPEAKER_11 |
transcript.pyannote[539].start |
5636.97284375 |
transcript.pyannote[539].end |
5638.03596875 |
transcript.pyannote[540].speaker |
SPEAKER_06 |
transcript.pyannote[540].start |
5638.03596875 |
transcript.pyannote[540].end |
5638.27221875 |
transcript.pyannote[541].speaker |
SPEAKER_11 |
transcript.pyannote[541].start |
5638.27221875 |
transcript.pyannote[541].end |
5638.28909375 |
transcript.pyannote[542].speaker |
SPEAKER_06 |
transcript.pyannote[542].start |
5638.28909375 |
transcript.pyannote[542].end |
5638.30596875 |
transcript.pyannote[543].speaker |
SPEAKER_11 |
transcript.pyannote[543].start |
5638.45784375 |
transcript.pyannote[543].end |
5638.57596875 |
transcript.pyannote[544].speaker |
SPEAKER_06 |
transcript.pyannote[544].start |
5638.57596875 |
transcript.pyannote[544].end |
5641.90034375 |
transcript.pyannote[545].speaker |
SPEAKER_11 |
transcript.pyannote[545].start |
5639.70659375 |
transcript.pyannote[545].end |
5640.49971875 |
transcript.pyannote[546].speaker |
SPEAKER_14 |
transcript.pyannote[546].start |
5640.49971875 |
transcript.pyannote[546].end |
5641.02284375 |
transcript.pyannote[547].speaker |
SPEAKER_19 |
transcript.pyannote[547].start |
5641.02284375 |
transcript.pyannote[547].end |
5641.07346875 |
transcript.pyannote[548].speaker |
SPEAKER_11 |
transcript.pyannote[548].start |
5641.07346875 |
transcript.pyannote[548].end |
5641.56284375 |
transcript.pyannote[549].speaker |
SPEAKER_19 |
transcript.pyannote[549].start |
5641.56284375 |
transcript.pyannote[549].end |
5641.86659375 |
transcript.pyannote[550].speaker |
SPEAKER_19 |
transcript.pyannote[550].start |
5641.90034375 |
transcript.pyannote[550].end |
5641.95096875 |
transcript.pyannote[551].speaker |
SPEAKER_09 |
transcript.pyannote[551].start |
5641.95096875 |
transcript.pyannote[551].end |
5641.96784375 |
transcript.pyannote[552].speaker |
SPEAKER_19 |
transcript.pyannote[552].start |
5641.96784375 |
transcript.pyannote[552].end |
5641.98471875 |
transcript.pyannote[553].speaker |
SPEAKER_14 |
transcript.pyannote[553].start |
5642.25471875 |
transcript.pyannote[553].end |
5642.96346875 |
transcript.pyannote[554].speaker |
SPEAKER_06 |
transcript.pyannote[554].start |
5642.28846875 |
transcript.pyannote[554].end |
5667.17909375 |
transcript.pyannote[555].speaker |
SPEAKER_19 |
transcript.pyannote[555].start |
5642.96346875 |
transcript.pyannote[555].end |
5643.04784375 |
transcript.pyannote[556].speaker |
SPEAKER_11 |
transcript.pyannote[556].start |
5643.04784375 |
transcript.pyannote[556].end |
5643.26721875 |
transcript.pyannote[557].speaker |
SPEAKER_11 |
transcript.pyannote[557].start |
5645.95034375 |
transcript.pyannote[557].end |
5645.96721875 |
transcript.pyannote[558].speaker |
SPEAKER_19 |
transcript.pyannote[558].start |
5645.96721875 |
transcript.pyannote[558].end |
5646.16971875 |
transcript.pyannote[559].speaker |
SPEAKER_11 |
transcript.pyannote[559].start |
5646.16971875 |
transcript.pyannote[559].end |
5646.27096875 |
transcript.pyannote[560].speaker |
SPEAKER_19 |
transcript.pyannote[560].start |
5647.63784375 |
transcript.pyannote[560].end |
5648.61659375 |
transcript.pyannote[561].speaker |
SPEAKER_19 |
transcript.pyannote[561].start |
5650.38846875 |
transcript.pyannote[561].end |
5650.74284375 |
transcript.pyannote[562].speaker |
SPEAKER_06 |
transcript.pyannote[562].start |
5667.82034375 |
transcript.pyannote[562].end |
5684.77971875 |
transcript.pyannote[563].speaker |
SPEAKER_06 |
transcript.pyannote[563].start |
5685.42096875 |
transcript.pyannote[563].end |
5685.43784375 |
transcript.pyannote[564].speaker |
SPEAKER_11 |
transcript.pyannote[564].start |
5685.43784375 |
transcript.pyannote[564].end |
5708.45534375 |
transcript.pyannote[565].speaker |
SPEAKER_19 |
transcript.pyannote[565].start |
5709.85596875 |
transcript.pyannote[565].end |
5710.61534375 |
transcript.pyannote[566].speaker |
SPEAKER_11 |
transcript.pyannote[566].start |
5710.44659375 |
transcript.pyannote[566].end |
5711.67846875 |
transcript.pyannote[567].speaker |
SPEAKER_08 |
transcript.pyannote[567].start |
5711.67846875 |
transcript.pyannote[567].end |
5711.69534375 |
transcript.pyannote[568].speaker |
SPEAKER_11 |
transcript.pyannote[568].start |
5713.53471875 |
transcript.pyannote[568].end |
5713.55159375 |
transcript.pyannote[569].speaker |
SPEAKER_08 |
transcript.pyannote[569].start |
5713.55159375 |
transcript.pyannote[569].end |
5724.13221875 |
transcript.pyannote[570].speaker |
SPEAKER_08 |
transcript.pyannote[570].start |
5724.43596875 |
transcript.pyannote[570].end |
5757.96659375 |
transcript.pyannote[571].speaker |
SPEAKER_19 |
transcript.pyannote[571].start |
5742.40784375 |
transcript.pyannote[571].end |
5742.42471875 |
transcript.pyannote[572].speaker |
SPEAKER_08 |
transcript.pyannote[572].start |
5758.50659375 |
transcript.pyannote[572].end |
5763.88971875 |
transcript.pyannote[573].speaker |
SPEAKER_08 |
transcript.pyannote[573].start |
5764.44659375 |
transcript.pyannote[573].end |
5776.54596875 |
transcript.pyannote[574].speaker |
SPEAKER_08 |
transcript.pyannote[574].start |
5777.52471875 |
transcript.pyannote[574].end |
5778.73971875 |
transcript.pyannote[575].speaker |
SPEAKER_14 |
transcript.pyannote[575].start |
5780.24159375 |
transcript.pyannote[575].end |
5784.98346875 |
transcript.pyannote[576].speaker |
SPEAKER_11 |
transcript.pyannote[576].start |
5785.40534375 |
transcript.pyannote[576].end |
5786.28284375 |
transcript.pyannote[577].speaker |
SPEAKER_11 |
transcript.pyannote[577].start |
5786.70471875 |
transcript.pyannote[577].end |
5786.83971875 |
transcript.pyannote[578].speaker |
SPEAKER_14 |
transcript.pyannote[578].start |
5786.80596875 |
transcript.pyannote[578].end |
5787.53159375 |
transcript.pyannote[579].speaker |
SPEAKER_01 |
transcript.pyannote[579].start |
5786.83971875 |
transcript.pyannote[579].end |
5802.36471875 |
transcript.pyannote[580].speaker |
SPEAKER_11 |
transcript.pyannote[580].start |
5802.36471875 |
transcript.pyannote[580].end |
5809.67159375 |
transcript.pyannote[581].speaker |
SPEAKER_11 |
transcript.pyannote[581].start |
5810.51534375 |
transcript.pyannote[581].end |
5815.39221875 |
transcript.pyannote[582].speaker |
SPEAKER_11 |
transcript.pyannote[582].start |
5816.13471875 |
transcript.pyannote[582].end |
5826.73221875 |
transcript.pyannote[583].speaker |
SPEAKER_11 |
transcript.pyannote[583].start |
5827.86284375 |
transcript.pyannote[583].end |
5830.95096875 |
transcript.pyannote[584].speaker |
SPEAKER_11 |
transcript.pyannote[584].start |
5831.59221875 |
transcript.pyannote[584].end |
5834.68034375 |
transcript.pyannote[585].speaker |
SPEAKER_11 |
transcript.pyannote[585].start |
5835.18659375 |
transcript.pyannote[585].end |
5838.29159375 |
transcript.pyannote[586].speaker |
SPEAKER_11 |
transcript.pyannote[586].start |
5839.40534375 |
transcript.pyannote[586].end |
5847.30284375 |
transcript.pyannote[587].speaker |
SPEAKER_14 |
transcript.pyannote[587].start |
5848.16346875 |
transcript.pyannote[587].end |
5848.46721875 |
transcript.pyannote[588].speaker |
SPEAKER_06 |
transcript.pyannote[588].start |
5850.82971875 |
transcript.pyannote[588].end |
5851.74096875 |
transcript.pyannote[589].speaker |
SPEAKER_14 |
transcript.pyannote[589].start |
5852.07846875 |
transcript.pyannote[589].end |
5853.29346875 |
transcript.pyannote[590].speaker |
SPEAKER_06 |
transcript.pyannote[590].start |
5853.46221875 |
transcript.pyannote[590].end |
5855.89221875 |
transcript.pyannote[591].speaker |
SPEAKER_14 |
transcript.pyannote[591].start |
5855.04846875 |
transcript.pyannote[591].end |
5859.04784375 |
transcript.pyannote[592].speaker |
SPEAKER_06 |
transcript.pyannote[592].start |
5856.12846875 |
transcript.pyannote[592].end |
5857.46159375 |
transcript.pyannote[593].speaker |
SPEAKER_06 |
transcript.pyannote[593].start |
5857.86659375 |
transcript.pyannote[593].end |
5873.57721875 |
transcript.pyannote[594].speaker |
SPEAKER_06 |
transcript.pyannote[594].start |
5874.25221875 |
transcript.pyannote[594].end |
5878.08284375 |
transcript.pyannote[595].speaker |
SPEAKER_06 |
transcript.pyannote[595].start |
5878.48784375 |
transcript.pyannote[595].end |
5890.89096875 |
transcript.pyannote[596].speaker |
SPEAKER_06 |
transcript.pyannote[596].start |
5891.36346875 |
transcript.pyannote[596].end |
5898.36659375 |
transcript.pyannote[597].speaker |
SPEAKER_06 |
transcript.pyannote[597].start |
5899.32846875 |
transcript.pyannote[597].end |
5899.96971875 |
transcript.pyannote[598].speaker |
SPEAKER_11 |
transcript.pyannote[598].start |
5899.96971875 |
transcript.pyannote[598].end |
5906.75346875 |
transcript.pyannote[599].speaker |
SPEAKER_11 |
transcript.pyannote[599].start |
5907.39471875 |
transcript.pyannote[599].end |
5916.13596875 |
transcript.pyannote[600].speaker |
SPEAKER_11 |
transcript.pyannote[600].start |
5916.62534375 |
transcript.pyannote[600].end |
5917.63784375 |
transcript.pyannote[601].speaker |
SPEAKER_11 |
transcript.pyannote[601].start |
5919.17346875 |
transcript.pyannote[601].end |
5921.29971875 |
transcript.pyannote[602].speaker |
SPEAKER_11 |
transcript.pyannote[602].start |
5922.95346875 |
transcript.pyannote[602].end |
5923.08846875 |
transcript.pyannote[603].speaker |
SPEAKER_06 |
transcript.pyannote[603].start |
5923.08846875 |
transcript.pyannote[603].end |
5923.32471875 |
transcript.pyannote[604].speaker |
SPEAKER_11 |
transcript.pyannote[604].start |
5923.32471875 |
transcript.pyannote[604].end |
5923.40909375 |
transcript.pyannote[605].speaker |
SPEAKER_06 |
transcript.pyannote[605].start |
5923.40909375 |
transcript.pyannote[605].end |
5923.47659375 |
transcript.pyannote[606].speaker |
SPEAKER_11 |
transcript.pyannote[606].start |
5923.47659375 |
transcript.pyannote[606].end |
5923.49346875 |
transcript.pyannote[607].speaker |
SPEAKER_06 |
transcript.pyannote[607].start |
5923.49346875 |
transcript.pyannote[607].end |
5923.51034375 |
transcript.pyannote[608].speaker |
SPEAKER_11 |
transcript.pyannote[608].start |
5924.84346875 |
transcript.pyannote[608].end |
5925.77159375 |
transcript.pyannote[609].speaker |
SPEAKER_06 |
transcript.pyannote[609].start |
5925.77159375 |
transcript.pyannote[609].end |
5925.82221875 |
transcript.pyannote[610].speaker |
SPEAKER_11 |
transcript.pyannote[610].start |
5925.82221875 |
transcript.pyannote[610].end |
5925.85596875 |
transcript.pyannote[611].speaker |
SPEAKER_08 |
transcript.pyannote[611].start |
5925.92346875 |
transcript.pyannote[611].end |
5925.94034375 |
transcript.pyannote[612].speaker |
SPEAKER_11 |
transcript.pyannote[612].start |
5925.94034375 |
transcript.pyannote[612].end |
5925.97409375 |
transcript.pyannote[613].speaker |
SPEAKER_06 |
transcript.pyannote[613].start |
5925.97409375 |
transcript.pyannote[613].end |
5927.64471875 |
transcript.pyannote[614].speaker |
SPEAKER_08 |
transcript.pyannote[614].start |
5929.83846875 |
transcript.pyannote[614].end |
5954.03721875 |
transcript.pyannote[615].speaker |
SPEAKER_08 |
transcript.pyannote[615].start |
5954.39159375 |
transcript.pyannote[615].end |
5964.53346875 |
transcript.pyannote[616].speaker |
SPEAKER_08 |
transcript.pyannote[616].start |
5965.07346875 |
transcript.pyannote[616].end |
5977.98284375 |
transcript.pyannote[617].speaker |
SPEAKER_08 |
transcript.pyannote[617].start |
5978.69159375 |
transcript.pyannote[617].end |
5979.21471875 |
transcript.pyannote[618].speaker |
SPEAKER_19 |
transcript.pyannote[618].start |
5979.50159375 |
transcript.pyannote[618].end |
5979.51846875 |
transcript.pyannote[619].speaker |
SPEAKER_12 |
transcript.pyannote[619].start |
5981.07096875 |
transcript.pyannote[619].end |
5991.31409375 |
transcript.pyannote[620].speaker |
SPEAKER_11 |
transcript.pyannote[620].start |
5990.95971875 |
transcript.pyannote[620].end |
5995.63409375 |
transcript.pyannote[621].speaker |
SPEAKER_12 |
transcript.pyannote[621].start |
5993.98034375 |
transcript.pyannote[621].end |
6010.23096875 |
transcript.pyannote[622].speaker |
SPEAKER_11 |
transcript.pyannote[622].start |
6000.34221875 |
transcript.pyannote[622].end |
6001.48971875 |
transcript.pyannote[623].speaker |
SPEAKER_11 |
transcript.pyannote[623].start |
6003.19409375 |
transcript.pyannote[623].end |
6003.43034375 |
transcript.pyannote[624].speaker |
SPEAKER_19 |
transcript.pyannote[624].start |
6007.85159375 |
transcript.pyannote[624].end |
6007.86846875 |
transcript.pyannote[625].speaker |
SPEAKER_11 |
transcript.pyannote[625].start |
6007.86846875 |
transcript.pyannote[625].end |
6008.15534375 |
transcript.pyannote[626].speaker |
SPEAKER_19 |
transcript.pyannote[626].start |
6008.15534375 |
transcript.pyannote[626].end |
6008.18909375 |
transcript.pyannote[627].speaker |
SPEAKER_11 |
transcript.pyannote[627].start |
6008.18909375 |
transcript.pyannote[627].end |
6008.34096875 |
transcript.pyannote[628].speaker |
SPEAKER_11 |
transcript.pyannote[628].start |
6009.06659375 |
transcript.pyannote[628].end |
6010.61909375 |
transcript.pyannote[629].speaker |
SPEAKER_12 |
transcript.pyannote[629].start |
6010.61909375 |
transcript.pyannote[629].end |
6026.76846875 |
transcript.pyannote[630].speaker |
SPEAKER_06 |
transcript.pyannote[630].start |
6027.15659375 |
transcript.pyannote[630].end |
6031.81409375 |
transcript.pyannote[631].speaker |
SPEAKER_06 |
transcript.pyannote[631].start |
6032.25284375 |
transcript.pyannote[631].end |
6050.81534375 |
transcript.pyannote[632].speaker |
SPEAKER_06 |
transcript.pyannote[632].start |
6055.54034375 |
transcript.pyannote[632].end |
6057.27846875 |
transcript.pyannote[633].speaker |
SPEAKER_06 |
transcript.pyannote[633].start |
6059.25284375 |
transcript.pyannote[633].end |
6059.57346875 |
transcript.pyannote[634].speaker |
SPEAKER_06 |
transcript.pyannote[634].start |
6060.38346875 |
transcript.pyannote[634].end |
6064.14659375 |
transcript.pyannote[635].speaker |
SPEAKER_06 |
transcript.pyannote[635].start |
6064.39971875 |
transcript.pyannote[635].end |
6067.53846875 |
transcript.pyannote[636].speaker |
SPEAKER_06 |
transcript.pyannote[636].start |
6068.71971875 |
transcript.pyannote[636].end |
6071.04846875 |
transcript.pyannote[637].speaker |
SPEAKER_19 |
transcript.pyannote[637].start |
6072.65159375 |
transcript.pyannote[637].end |
6073.02284375 |
transcript.pyannote[638].speaker |
SPEAKER_08 |
transcript.pyannote[638].start |
6076.60034375 |
transcript.pyannote[638].end |
6109.20284375 |
transcript.pyannote[639].speaker |
SPEAKER_08 |
transcript.pyannote[639].start |
6109.69221875 |
transcript.pyannote[639].end |
6113.03346875 |
transcript.pyannote[640].speaker |
SPEAKER_06 |
transcript.pyannote[640].start |
6113.03346875 |
transcript.pyannote[640].end |
6113.94471875 |
transcript.pyannote[641].speaker |
SPEAKER_08 |
transcript.pyannote[641].start |
6113.94471875 |
transcript.pyannote[641].end |
6114.02909375 |
transcript.pyannote[642].speaker |
SPEAKER_06 |
transcript.pyannote[642].start |
6114.55221875 |
transcript.pyannote[642].end |
6125.08221875 |
transcript.pyannote[643].speaker |
SPEAKER_06 |
transcript.pyannote[643].start |
6126.22971875 |
transcript.pyannote[643].end |
6128.23784375 |
transcript.pyannote[644].speaker |
SPEAKER_06 |
transcript.pyannote[644].start |
6128.49096875 |
transcript.pyannote[644].end |
6129.94221875 |
transcript.pyannote[645].speaker |
SPEAKER_06 |
transcript.pyannote[645].start |
6131.37659375 |
transcript.pyannote[645].end |
6151.81221875 |
transcript.pyannote[646].speaker |
SPEAKER_06 |
transcript.pyannote[646].start |
6152.28471875 |
transcript.pyannote[646].end |
6156.85784375 |
transcript.pyannote[647].speaker |
SPEAKER_06 |
transcript.pyannote[647].start |
6158.02221875 |
transcript.pyannote[647].end |
6178.76159375 |
transcript.pyannote[648].speaker |
SPEAKER_06 |
transcript.pyannote[648].start |
6179.47034375 |
transcript.pyannote[648].end |
6180.48284375 |
transcript.pyannote[649].speaker |
SPEAKER_06 |
transcript.pyannote[649].start |
6180.73596875 |
transcript.pyannote[649].end |
6182.86221875 |
transcript.pyannote[650].speaker |
SPEAKER_08 |
transcript.pyannote[650].start |
6190.70909375 |
transcript.pyannote[650].end |
6198.94409375 |
transcript.pyannote[651].speaker |
SPEAKER_08 |
transcript.pyannote[651].start |
6199.61909375 |
transcript.pyannote[651].end |
6211.02659375 |
transcript.pyannote[652].speaker |
SPEAKER_06 |
transcript.pyannote[652].start |
6211.02659375 |
transcript.pyannote[652].end |
6221.13471875 |
transcript.pyannote[653].speaker |
SPEAKER_06 |
transcript.pyannote[653].start |
6221.64096875 |
transcript.pyannote[653].end |
6235.30971875 |
transcript.pyannote[654].speaker |
SPEAKER_19 |
transcript.pyannote[654].start |
6237.97596875 |
transcript.pyannote[654].end |
6238.02659375 |
transcript.pyannote[655].speaker |
SPEAKER_06 |
transcript.pyannote[655].start |
6242.43096875 |
transcript.pyannote[655].end |
6244.18596875 |
transcript.pyannote[656].speaker |
SPEAKER_06 |
transcript.pyannote[656].start |
6251.08784375 |
transcript.pyannote[656].end |
6251.88096875 |
transcript.pyannote[657].speaker |
SPEAKER_14 |
transcript.pyannote[657].start |
6251.88096875 |
transcript.pyannote[657].end |
6252.72471875 |
transcript.pyannote[658].speaker |
SPEAKER_06 |
transcript.pyannote[658].start |
6252.72471875 |
transcript.pyannote[658].end |
6253.48409375 |
transcript.pyannote[659].speaker |
SPEAKER_14 |
transcript.pyannote[659].start |
6253.23096875 |
transcript.pyannote[659].end |
6254.74971875 |
transcript.pyannote[660].speaker |
SPEAKER_06 |
transcript.pyannote[660].start |
6254.51346875 |
transcript.pyannote[660].end |
6255.00284375 |
transcript.pyannote[661].speaker |
SPEAKER_14 |
transcript.pyannote[661].start |
6255.00284375 |
transcript.pyannote[661].end |
6255.03659375 |
transcript.pyannote[662].speaker |
SPEAKER_06 |
transcript.pyannote[662].start |
6256.75784375 |
transcript.pyannote[662].end |
6265.11096875 |
transcript.pyannote[663].speaker |
SPEAKER_19 |
transcript.pyannote[663].start |
6259.37346875 |
transcript.pyannote[663].end |
6259.40721875 |
transcript.pyannote[664].speaker |
SPEAKER_11 |
transcript.pyannote[664].start |
6259.40721875 |
transcript.pyannote[664].end |
6260.30159375 |
transcript.pyannote[665].speaker |
SPEAKER_19 |
transcript.pyannote[665].start |
6260.30159375 |
transcript.pyannote[665].end |
6260.33534375 |
transcript.pyannote[666].speaker |
SPEAKER_11 |
transcript.pyannote[666].start |
6260.33534375 |
transcript.pyannote[666].end |
6260.35221875 |
transcript.pyannote[667].speaker |
SPEAKER_19 |
transcript.pyannote[667].start |
6260.35221875 |
transcript.pyannote[667].end |
6260.65596875 |
transcript.pyannote[668].speaker |
SPEAKER_19 |
transcript.pyannote[668].start |
6260.74034375 |
transcript.pyannote[668].end |
6261.02721875 |
transcript.pyannote[669].speaker |
SPEAKER_10 |
transcript.pyannote[669].start |
6261.02721875 |
transcript.pyannote[669].end |
6261.04409375 |
transcript.pyannote[670].speaker |
SPEAKER_19 |
transcript.pyannote[670].start |
6261.04409375 |
transcript.pyannote[670].end |
6262.02284375 |
transcript.pyannote[671].speaker |
SPEAKER_10 |
transcript.pyannote[671].start |
6262.02284375 |
transcript.pyannote[671].end |
6276.58596875 |
transcript.pyannote[672].speaker |
SPEAKER_19 |
transcript.pyannote[672].start |
6265.11096875 |
transcript.pyannote[672].end |
6269.31284375 |
transcript.pyannote[673].speaker |
SPEAKER_19 |
transcript.pyannote[673].start |
6269.59971875 |
transcript.pyannote[673].end |
6270.07221875 |
transcript.pyannote[674].speaker |
SPEAKER_14 |
transcript.pyannote[674].start |
6279.35346875 |
transcript.pyannote[674].end |
6280.38284375 |
transcript.pyannote[675].speaker |
SPEAKER_10 |
transcript.pyannote[675].start |
6279.67409375 |
transcript.pyannote[675].end |
6281.59784375 |
transcript.pyannote[676].speaker |
SPEAKER_14 |
transcript.pyannote[676].start |
6281.49659375 |
transcript.pyannote[676].end |
6283.42034375 |
transcript.pyannote[677].speaker |
SPEAKER_21 |
transcript.pyannote[677].start |
6836.22846875 |
transcript.pyannote[677].end |
6837.78096875 |
transcript.pyannote[678].speaker |
SPEAKER_06 |
transcript.pyannote[678].start |
6837.78096875 |
transcript.pyannote[678].end |
6857.50784375 |
transcript.pyannote[679].speaker |
SPEAKER_06 |
transcript.pyannote[679].start |
6857.86221875 |
transcript.pyannote[679].end |
6877.72409375 |
transcript.pyannote[680].speaker |
SPEAKER_06 |
transcript.pyannote[680].start |
6878.16284375 |
transcript.pyannote[680].end |
6881.28471875 |
transcript.pyannote[681].speaker |
SPEAKER_06 |
transcript.pyannote[681].start |
6882.16221875 |
transcript.pyannote[681].end |
6907.84596875 |
transcript.pyannote[682].speaker |
SPEAKER_06 |
transcript.pyannote[682].start |
6910.81596875 |
transcript.pyannote[682].end |
6912.23346875 |
transcript.pyannote[683].speaker |
SPEAKER_19 |
transcript.pyannote[683].start |
6911.74409375 |
transcript.pyannote[683].end |
6911.86221875 |
transcript.pyannote[684].speaker |
SPEAKER_21 |
transcript.pyannote[684].start |
6911.86221875 |
transcript.pyannote[684].end |
6911.87909375 |
transcript.pyannote[685].speaker |
SPEAKER_19 |
transcript.pyannote[685].start |
6911.87909375 |
transcript.pyannote[685].end |
6911.94659375 |
transcript.pyannote[686].speaker |
SPEAKER_21 |
transcript.pyannote[686].start |
6911.94659375 |
transcript.pyannote[686].end |
6911.99721875 |
transcript.pyannote[687].speaker |
SPEAKER_06 |
transcript.pyannote[687].start |
6912.52034375 |
transcript.pyannote[687].end |
6939.68909375 |
transcript.pyannote[688].speaker |
SPEAKER_00 |
transcript.pyannote[688].start |
6914.52846875 |
transcript.pyannote[688].end |
6914.68034375 |
transcript.pyannote[689].speaker |
SPEAKER_06 |
transcript.pyannote[689].start |
6942.92909375 |
transcript.pyannote[689].end |
6959.53409375 |
transcript.pyannote[690].speaker |
SPEAKER_06 |
transcript.pyannote[690].start |
6960.79971875 |
transcript.pyannote[690].end |
6963.88784375 |
transcript.pyannote[691].speaker |
SPEAKER_19 |
transcript.pyannote[691].start |
6964.57971875 |
transcript.pyannote[691].end |
6964.83284375 |
transcript.pyannote[692].speaker |
SPEAKER_06 |
transcript.pyannote[692].start |
6965.44034375 |
transcript.pyannote[692].end |
6979.07534375 |
transcript.whisperx[0].start |
1786.483 |
transcript.whisperx[0].end |
1811.502 |
transcript.whisperx[0].text |
報告委員會現在繼續開會。今天的議程有五項。一、繼續審查113年度中央政府總預算案有關國家科學及技術委員會及所屬單位預算案。二、繼續審查113年度中央政府總預算案有關行政院主管行政院國家科學技術發展基金會附屬單位預算案。三、繼續審查113年度中央政府總預算案。 |
transcript.whisperx[1].start |
1813.188 |
transcript.whisperx[1].end |
1837.259 |
transcript.whisperx[1].text |
有關國家科學及技術委員會主管科學人區管理局作業基金附屬單位預算案。disciplinary四、繼續審查113年度行政法人國家災害防救科技中心預算案。五、繼續審查112年度及113年度行政法人國家太空中心預算案。首先介紹在場委員陳培宇委員范雲委員 |
transcript.whisperx[2].start |
1845.868 |
transcript.whisperx[2].end |
1872.52 |
transcript.whisperx[2].text |
接下來我們介紹在場官員與會官員國家科學及技術委員會主任委員間國家太空中心董事長吳政中國家科學及技術委員會副主任委員陳怡莊國家科學及技術委員會副主任委員間國家災害防救科技中心董事長陳宗權行政院主計總處公務預算處專門委員李育柔 |
transcript.whisperx[3].start |
1876.502 |
transcript.whisperx[3].end |
1878.004 |
transcript.whisperx[3].text |
行政院主任總署基金預算處科長劉雅培 |
transcript.whisperx[4].start |
1892.574 |
transcript.whisperx[4].end |
1918.763 |
transcript.whisperx[4].text |
先來進行預算審查請議事人員宣讀預算數及提案內容國家科學及技術委員會與所屬單位預算案計128案國家科學技術發展基金附屬單位預算案計8案國家科學及技術委員會主管科學人區管理局作業基金附屬單位預算案計2案國家災害防救科技中心預算案計1案國家太空中心計算預算案計3案 |
transcript.whisperx[5].start |
1921.471 |
transcript.whisperx[5].end |
1927.4 |
transcript.whisperx[5].text |
並進行討論與學商。討論時如有新增或修正文字之主決議,請議事人員一併宣讀。 |
transcript.whisperx[6].start |
1952.714 |
transcript.whisperx[6].end |
1954.916 |
transcript.whisperx[6].text |
三、繼續審查113年度中央政府總預算案 |
transcript.whisperx[7].start |
1975.899 |
transcript.whisperx[7].end |
1977.261 |
transcript.whisperx[7].text |
預算案有關國家科預算案有關國家科 |
transcript.whisperx[8].start |
2001.5 |
transcript.whisperx[8].end |
2016.785 |
transcript.whisperx[8].text |
首先請范委員謝謝昭緯我這個案子主要就是想要依據性別平等政策綱領還有消除對婦女一切形式歧視公約還有聯合國的SDGs強調女性參與所有的公共生活跟 |
transcript.whisperx[9].start |
2017.305 |
transcript.whisperx[9].end |
2020.066 |
transcript.whisperx[9].text |
審查113年度中央政府總預算案有關國家科審查113年度中央政府總預算案 |
transcript.whisperx[10].start |
2047.211 |
transcript.whisperx[10].end |
2067.804 |
transcript.whisperx[10].text |
國科會跟我溝通之後我想這是一個漸進的過程因為有些領域女性的比例本來就比較低那就用一個監督的方式我就不動改成主決議那希望國科會也能夠至少相關的比例不要低於他原本人口的比例那甚至更高一點能夠漸進努力以上謝謝 |
transcript.whisperx[11].start |
2068.965 |
transcript.whisperx[11].end |
2092.915 |
transcript.whisperx[11].text |
好那謝謝這個范委員那我們現在就把這個范委員的這個第一案改成主決議所以呢我們第一幕的一般行政兩案就照列再加上主決議要求的相關報告好不好沒有好OK那就照列好 |
transcript.whisperx[12].start |
2093.855 |
transcript.whisperx[12].end |
2101.644 |
transcript.whisperx[12].text |
那我們接下來第二幕第二幕呢是三至八案總共是六案有關於國家災害防救科技中心發展計劃的預算 |
transcript.whisperx[13].start |
2104.735 |
transcript.whisperx[13].end |
2104.916 |
transcript.whisperx[13].text |
陳培宇委員 |
transcript.whisperx[14].start |
2134.675 |
transcript.whisperx[14].end |
2140.48 |
transcript.whisperx[14].text |
政府總預算案有關國家科科科科科科科科科科科科科科科科科科科科科科科科科科科科科 |
transcript.whisperx[15].start |
2165.04 |
transcript.whisperx[15].end |
2186.305 |
transcript.whisperx[15].text |
第三目是第9案到第22案。好,陳培育委員有要講話嗎?我們這個部分也可以改成主決議也跟他們討論過可是關於這個相關人才還有相關研究量能的部分我們還是希望持續可以用監督的角色跟國會會持續討論。好,以上謝謝。 |
transcript.whisperx[16].start |
2189.867 |
transcript.whisperx[16].end |
2215.44 |
transcript.whisperx[16].text |
改組決議的部分我看一下陳秀寶委員請發言在第三幕的部分我的案子是第15案第15案的部分其實就是對於我們太空中心這個部分我們的一些效率跟進度當然你們有來說明但是本席還是要講一下說本席這邊對太空中心的期望是很高你們來說明說這個自治率的95%是以10年期 |
transcript.whisperx[17].start |
2215.96 |
transcript.whisperx[17].end |
2220.666 |
transcript.whisperx[17].text |
十年度中央政府總預算案有關國家科十年度中央政府總預算案有關國家科十年度中央政府總預算案有關國家科 |
transcript.whisperx[18].start |
2230.998 |
transcript.whisperx[18].end |
2259.445 |
transcript.whisperx[18].text |
議員議員議員議員議員 |
transcript.whisperx[19].start |
2259.505 |
transcript.whisperx[19].end |
2271.73 |
transcript.whisperx[19].text |
行政院主管行政院主管行政院主管行政院主管行政院主管行政院主管行政院主管行政院主管行政院主管行政院 |
transcript.whisperx[20].start |
2287.199 |
transcript.whisperx[20].end |
2299.203 |
transcript.whisperx[20].text |
改組決議的有第9案、第10案、第12案、第15案、第16案。接下來第4幕財團法人國家實驗研究院發展計畫第23案到第35案。請陳秀寶委員 |
transcript.whisperx[21].start |
2308.773 |
transcript.whisperx[21].end |
2311.534 |
transcript.whisperx[21].text |
第四、繼續審查113年度中央政府總預算案有關國家科學技術發展基金附屬單位預算案 |
transcript.whisperx[22].start |
2334.616 |
transcript.whisperx[22].end |
2343.798 |
transcript.whisperx[22].text |
科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案有關 |
transcript.whisperx[23].start |
2364.063 |
transcript.whisperx[23].end |
2388.525 |
transcript.whisperx[23].text |
這些就是編列預算所構置的這些儀器要有一個規劃要有一個規劃性如果只是你因應短期計畫而構置這樣的機器當然做研究還是要有基本的設備是沒錯但是是不是有個效益的評估在這個部分是不是你們要不要說明一下歡迎的歡迎的好接下來先請謝謝那個委員的意見還有沒有委員要發言的 |
transcript.whisperx[24].start |
2390.285 |
transcript.whisperx[24].end |
2390.445 |
transcript.whisperx[24].text |
議員主席 |
transcript.whisperx[25].start |
2410.51 |
transcript.whisperx[25].end |
2423.228 |
transcript.whisperx[25].text |
有那種評估的機制所以我目前會去重新去檢討那個清單有一些比較老舊就不要放在清單裡面然後最重要是我們會去改良那個租界的管理辦法來增加租界的誘因以上簡單的報告 |
transcript.whisperx[26].start |
2426.159 |
transcript.whisperx[26].end |
2446.359 |
transcript.whisperx[26].text |
我先介紹在場委員有這個黃國書委員到現場還有張廖萬堅委員到現場好那麼接下來我們現在是在審第四目國科會的財團法人國家實踐研究院發展計劃第23案到第35案的部分好那就這個部分有沒有委員要發言的好請張廖萬堅委員 |
transcript.whisperx[27].start |
2452.084 |
transcript.whisperx[27].end |
2470.793 |
transcript.whisperx[27].text |
我的是第32案那其實我對我們這一幕的整個研究發展計畫當然都支持不過就是說我們現在主委來我辦公室提過說我們現在有一個精創計畫大概在透過半導體的技術在帶動各行各業 |
transcript.whisperx[28].start |
2471.874 |
transcript.whisperx[28].end |
2478.811 |
transcript.whisperx[28].text |
讓台灣的整個發展能夠更均衡透過晶片的技術 |
transcript.whisperx[29].start |
2479.744 |
transcript.whisperx[29].end |
2506.439 |
transcript.whisperx[29].text |
那我曾經也在委員會質詢就是說其實臺中是半導體的產業重鎮那我們通過這個人才的培育的那個創新條例之後其實各大學園大概都成立所謂的半導體學院那臺中有中科那中科那個最近正在開闢第三期的用地那明年6月要交地那整個先進製程也都是非常先進的應該都在2奈米跟以下 |
transcript.whisperx[30].start |
2507.319 |
transcript.whisperx[30].end |
2508.499 |
transcript.whisperx[30].text |
中央政府總預算案有關國家科 |
transcript.whisperx[31].start |
2533.867 |
transcript.whisperx[31].end |
2534.387 |
transcript.whisperx[31].text |
委員會及所屬單位預算案 |
transcript.whisperx[32].start |
2556.897 |
transcript.whisperx[32].end |
2578.612 |
transcript.whisperx[32].text |
最後才知道說其實台中中部的各種地理位置跟發展現在都是很重要那唯獨這個大學沒有那像台北、清華大學、台清、成交、南部都有就獨學中部我覺得這個部分我會提案痛解是希望國科會扮演一個比較好的一個角色來串聯學界還有產業界能夠在中部找到一個重症謝謝 |
transcript.whisperx[33].start |
2579.52 |
transcript.whisperx[33].end |
2594.277 |
transcript.whisperx[33].text |
我們接下來先介紹現場委員張綺露委員還有吳思瑤委員那我們現在在審的是第四幕財團法人國家實驗研究院的發展計畫第23案到第35案我們接下來請張綺露委員發言 |
transcript.whisperx[34].start |
2596.579 |
transcript.whisperx[34].end |
2617.993 |
transcript.whisperx[34].text |
各位委員大家好我這邊第四幕裡面就是第23案就是我這邊提這一案那這邊最主要的就是說我們從這個我們的這個專利成果雖然取得了很多但是真正這個授權運用的只佔整個這個取得成果的這個17.97%還沒有到兩成 |
transcript.whisperx[35].start |
2622.615 |
transcript.whisperx[35].end |
2650.742 |
transcript.whisperx[35].text |
這個專利金的收入一億五千多萬也低於專利申請及維護費合計的兩億多元而且另外我們統計另外109至111年的八個內部各研究單位他們這個運用這個尤其是醫科中心、國網中心跟國政中心等三個單位授權運用的這個情況看起來也不見得是這麼悠悠所以我們就是說 |
transcript.whisperx[36].start |
2651.582 |
transcript.whisperx[36].end |
2676.722 |
transcript.whisperx[36].text |
那到底現在這些授權或者是等等這些是不是我們能夠更強化一下我們這些的應用就是說我們竟然也做了這些R&D那相關的這個是不是怎麼樣然後更有效的讓它取得被應用等等這些是不是也能夠做一個我們說這邊國科會能夠更精進的這樣子的一個作為那我們這邊是先提一個這個凍結 |
transcript.whisperx[37].start |
2678.063 |
transcript.whisperx[37].end |
2706.103 |
transcript.whisperx[37].text |
好,那如果把這個作為提報我們委員會之後,我們來動之。好,謝謝。好,我們現在先請吳思瑤委員發言。謝謝主席。這一幕我有三案很快速的做一下說明。26案就是國食院的地震中心的這個火山監測防災運用。那跟這個我們經濟部的地熱的這個到底有沒有串聯?因為淨零碳排的 |
transcript.whisperx[38].start |
2707.724 |
transcript.whisperx[38].end |
2729.043 |
transcript.whisperx[38].text |
計劃裡頭經濟部的地熱探勘資訊平臺那我發現居然跟TVO的這些資訊沒有連結那這個可以說明一下然後31案是針對這個主委一直在打造的也納入國家重點產業的這個晶片這個晶創計劃那晶創計劃當中有一個非常重要的就是臺灣海外基地 |
transcript.whisperx[39].start |
2729.904 |
transcript.whisperx[39].end |
2748.536 |
transcript.whisperx[39].text |
那我在跟教育部在確認教育部今年也推很多促進國際生來台留台的計畫感覺上我還是沒有辦法理得很清楚我覺得跨部會是不是會有重疊或者是可以跟擴大強強聯手的部分這個我也很想知道看起來 |
transcript.whisperx[40].start |
2749.896 |
transcript.whisperx[40].end |
2773.744 |
transcript.whisperx[40].text |
計劃的同質性還挺高的那你們跨部會的處理是什麼那33案就是上次有在諮詢當中提出來的那我想主委也應當回復了我們在建制這個台版AI我們CHAP GPT的過程當中你們的文本要多擴大跟跨部會的資料文本的串接那我諮詢中也提出了很多 |
transcript.whisperx[41].start |
2774.304 |
transcript.whisperx[41].end |
2781.254 |
transcript.whisperx[41].text |
那應當是有在建制啦好等一下主委再回應一下好以上三案謝謝好請主委回答 |
transcript.whisperx[42].start |
2784.465 |
transcript.whisperx[42].end |
2805.834 |
transcript.whisperx[42].text |
謝謝張亮委員的提議事實上教育班導體學院是大學去跟教育部來申請我想在國科這邊我會來跟教育部協調事實上中部也應該是蠻重要的一個班導體生產的重鎮 |
transcript.whisperx[43].start |
2807.515 |
transcript.whisperx[43].end |
2827.267 |
transcript.whisperx[43].text |
是由大學來主動跟這個教育部申請所以那個是教育部在核准那我會來協調看臺中那邊是不是有一些大學可以來做瞭解那第二個就是有關這個張啟祿委員這個專利是不是請那個王院長李院長 |
transcript.whisperx[44].start |
2831.062 |
transcript.whisperx[44].end |
2854.394 |
transcript.whisperx[44].text |
有關張委員的提案基本上來講我們有重新統計過其實到了112年的9月為止其實我們的專利的運用的比例已經到了4成也就是說到目前為止因為過去的確績效不是很好那目前為止我們 |
transcript.whisperx[45].start |
2855.554 |
transcript.whisperx[45].end |
2871.464 |
transcript.whisperx[45].text |
維護有466件,其實我們授權已經199次了,所以其實有大幅的提升。另一方面呢,我們的研發的服務,這裡面包含了很多專利的衍生技術,其實也逐年成長,去年年底有到7.6億,以上簡短報告,謝謝。好,謝謝。那個胡適雅委員這個有關這個淨零排碳, |
transcript.whisperx[46].start |
2879.673 |
transcript.whisperx[46].end |
2907.531 |
transcript.whisperx[46].text |
跟經濟部這邊有沒有協調說明一下好那個跟委員報告齁那個PVO的資料我們都有提供給經濟部的他叫做地質調查及跨業管理中心齁那他有一個就是我們叫我們有提供他一個叫做地熱探勘資料平台那他其實他可以從那邊去選用那些資料對然後根據他的職權他可以做做他該該用的使用對是 |
transcript.whisperx[47].start |
2908.954 |
transcript.whisperx[47].end |
2916.485 |
transcript.whisperx[47].text |
那個金創這個就是說海外基地事實上教育部那邊事實上是扣在一起的金創這邊是我主導 |
transcript.whisperx[48].start |
2921.454 |
transcript.whisperx[48].end |
2949.44 |
transcript.whisperx[48].text |
那因為六個半導體學院跟這個半導體中心還有工研院的那個應該是整體在佈局所以我想這個應該是那我可以確認一下嗎就是整個教育部的這個海外的纜財流財這個計畫一直在升級那當中國科會做的是針對半導體晶片相關人才AI這塊拉出來其他這部分聽你的你在做其他交給他是這樣嗎因為我覺得就是 |
transcript.whisperx[49].start |
2951.201 |
transcript.whisperx[49].end |
2954.702 |
transcript.whisperx[49].text |
一、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[50].start |
2981.304 |
transcript.whisperx[50].end |
3006.34 |
transcript.whisperx[50].text |
主席,我們24案可以改成主決議,可是我們之前也有提醒,就是非常多國家經費跟資源都在做這個晶片的部分,那我們也跟你們討論過,你們有說你們其實跟各個部會之間,大家把相關的設備所需要資源,其實都有講清楚怎麼分工,那我們就是以持續監督的角色繼續跟國科會對話,那我們可以改成主決議,謝謝。好,謝謝。 |
transcript.whisperx[51].start |
3009.042 |
transcript.whisperx[51].end |
3019.031 |
transcript.whisperx[51].text |
好那我們現在處理齁那我們是不是這一幕凍結兩千萬跟加書面報告去年是凍結三千萬我沒看錯吧第四幕對 |
transcript.whisperx[52].start |
3021.237 |
transcript.whisperx[52].end |
3044.872 |
transcript.whisperx[52].text |
議員議員議員議員 |
transcript.whisperx[53].start |
3045.305 |
transcript.whisperx[53].end |
3067.11 |
transcript.whisperx[53].text |
一千萬就好了啦我的建議請大家討論陳秀寶委員我這邊其實我提供的金額很低所以我聽到兩千萬委員嚇了一跳是可以不要動到那麼多因為我的部分其實你們有來解釋也有告訴有說就是關於租借辦法跟收費規定你們都會調整所以我這一案我也沒有堅持一定要動那就再打折一千萬一百萬一千萬 |
transcript.whisperx[54].start |
3068.01 |
transcript.whisperx[54].end |
3069.371 |
transcript.whisperx[54].text |
主決議是24案、26案、27案、29案、30案、31案、33案 |
transcript.whisperx[55].start |
3097.519 |
transcript.whisperx[55].end |
3110.006 |
transcript.whisperx[55].text |
有說這個沒有嗎?好33案接下來第5幕財團法人國家同步輻射研究中心發展計畫第36案到第39案的部分請張綺路委員 |
transcript.whisperx[56].start |
3112.415 |
transcript.whisperx[56].end |
3134.049 |
transcript.whisperx[56].text |
好 謝謝主席我這邊是第36案就這一案那這個地方主要是因為這個TLS是這個已經在我們是自行建造當時這個同步加速器的這個光源但是已經等於說運用30年老舊那現在我們是規劃在TPS光速線完工後將把這個舊的這個TLS這個用戶移轉到TPS |
transcript.whisperx[57].start |
3138.252 |
transcript.whisperx[57].end |
3149.746 |
transcript.whisperx[57].text |
不過這個TPS這個光速線新建現在的這個進度是延宕的那移轉用戶當然就更不如預期了那所以這個現在這樣的問題是希望我們知道 |
transcript.whisperx[58].start |
3151.499 |
transcript.whisperx[58].end |
3175.879 |
transcript.whisperx[58].text |
要督促國家同步輻射研究中心檢討泰幻、TPS、宮崎岩蕩等問題是不是也可以告訴我們原因還有你們到時候怎麼樣補上岩蕩的進度那這個地方我們今天提一個凍結案以上 謝謝請主任稍微說明一下 |
transcript.whisperx[59].start |
3177.961 |
transcript.whisperx[59].end |
3180.302 |
transcript.whisperx[59].text |
委員會及所屬單位預算案有關國家科學及技術委員會及所屬單位預算案 |
transcript.whisperx[60].start |
3196.387 |
transcript.whisperx[60].end |
3215.572 |
transcript.whisperx[60].text |
經濟的那個進展當中那像我們目前像現在有14座已經開放了那我們的三期結束的話經費結束在115年所以我們在積極的這個追趕進度當然不可以否認就是說過去這幾年因為疫情的關係供應鏈還有人力這些問題是我們有一些延遲 |
transcript.whisperx[61].start |
3216.812 |
transcript.whisperx[61].end |
3246.318 |
transcript.whisperx[61].text |
TLS的部分我們因為看到TPS已經有十幾條開放了所以我們最大的考量其實就是用戶不管是產業界學術界要有平順的延遲平順的遷移尤其重要是如果中間停很久的話事實上用戶是會流失的因為這些技術需要傳承的那我們現在TLS目前已經在今年啟動這個review所以我們從經濟面人力面還有科技以及產業的需求的已經做了整體的評估提出方案 |
transcript.whisperx[62].start |
3246.698 |
transcript.whisperx[62].end |
3276.698 |
transcript.whisperx[62].text |
議員議員議員議員議員 |
transcript.whisperx[63].start |
3276.978 |
transcript.whisperx[63].end |
3304.639 |
transcript.whisperx[63].text |
那個基本上那個TPS那個是因為疫情有一些delay那目前進度已經在趕那十幾條線應該會在那個期間之內會把它趕完所以我想請這個張委員這邊看看是不是不要凍結這個他們的預算打個車好了我們少一點就是寫個報告告訴一下我們那個OK報告可以但是那個不要 |
transcript.whisperx[64].start |
3305.959 |
transcript.whisperx[64].end |
3332.095 |
transcript.whisperx[64].text |
審查113年度中央政府總預算案有關國家科學及技術發展基金附屬單位預算案。厲,我們就凍結五百萬加書面報告。接下來是第六幕非營業特種基金第40案到第64案陳培宇委員然後接下來是黃國書委員再來是范雲委員再來是張亮萬堅委員再來是吳思堯委員然後再來是陳秀寶委員再來才是這個 |
transcript.whisperx[65].start |
3333.596 |
transcript.whisperx[65].end |
3334.096 |
transcript.whisperx[65].text |
委員會及所屬單位預算案 |
transcript.whisperx[66].start |
3350.106 |
transcript.whisperx[66].end |
3350.386 |
transcript.whisperx[66].text |
接下來請黃國樹委員 |
transcript.whisperx[67].start |
3381.216 |
transcript.whisperx[67].end |
3403.497 |
transcript.whisperx[67].text |
我們基金的預算430億當然要用在非常多的發展的面向上當然包括新的人才的培育然後還有一些新的科學技術發展的計畫的補助那我們先來看我的41案講到這個人才的培育特別是 |
transcript.whisperx[68].start |
3404.238 |
transcript.whisperx[68].end |
3415.735 |
transcript.whisperx[68].text |
跨世代的年輕學者的方案我們要補助新秀的學者、優秀年輕的學者以及國際年輕學者大概有這三類可是我們來檢討一下這個計畫是從110年開始辦理的這個叫2030年跨世代年輕學者方案 |
transcript.whisperx[69].start |
3421.292 |
transcript.whisperx[69].end |
3424.154 |
transcript.whisperx[69].text |
三、繼續審查113年度中央政府總預算案有關國家科學技術發展基金附屬單位預算案 |
transcript.whisperx[70].start |
3441.983 |
transcript.whisperx[70].end |
3470.076 |
transcript.whisperx[70].text |
要有更多人來申請來協助更多的年輕學者可是看起來這個數量在減少當中這個可能也要請我們國科會這邊來說明再來一些補助的計畫補助430億的計畫我們有5億是用在創新及應用科技然後這個要做什麼呢要來進行評審管考還有規劃推動等等 |
transcript.whisperx[71].start |
3472.108 |
transcript.whisperx[71].end |
3474.79 |
transcript.whisperx[71].text |
我們從107年到111年我們看起來辦理6項的中長程個案計劃借勤評估副評作業只有6項那112到118年度只有9項但是我們112年的科技計劃有394項我的意思是說我們每一年有那麼多的 |
transcript.whisperx[72].start |
3496.338 |
transcript.whisperx[72].end |
3517.197 |
transcript.whisperx[72].text |
推動的科技計畫的項目但是我們列入一些管考的像素明顯的偏低那這個部分我想了解一點點是不是有非常多不需要納入管考的還是都應該要還是什麼樣子的重大計畫才需要列入管考因為整個 |
transcript.whisperx[73].start |
3518.939 |
transcript.whisperx[73].end |
3539.536 |
transcript.whisperx[73].text |
國會在預算編列的時候是配合行政院所屬各機關中長程個案計畫編審要點的規定來進行這個作業的所以我覺得這個部分可能要請科技部來做一個說明那其他沒有列入中長期計畫管考的那我們用什麼樣子的方式去審核這些計畫執行的成效為何這是42案 |
transcript.whisperx[74].start |
3544.093 |
transcript.whisperx[74].end |
3558.323 |
transcript.whisperx[74].text |
再來43案我們辦理這個基礎科學研究我們要補助自然科學、工程科學、生命科學、人文科學但是我們從統計來看109到111年我們核定的金額大概107萬到108年都差不多 |
transcript.whisperx[75].start |
3567.589 |
transcript.whisperx[75].end |
3581.536 |
transcript.whisperx[75].text |
生命科學是連續兩年正成長自然科學是兩年是負成長那這個部分也請你們說明一下那再來就是我們計劃要審我們剛常用兩個方式來審一個叫做大批審那有一些是隨時你來審送審的我們就隨時審大概這兩個方式那這兩個方式來審會不會有一些造成一些問題我們看 |
transcript.whisperx[76].start |
3597.15 |
transcript.whisperx[76].end |
3618.142 |
transcript.whisperx[76].text |
如果從這個大批通過審查的比率大概56%大概各學門通過率是五成到六成之間這差異不大啦但是隨審通過審查的比率會超過一成比如說人文科學、生命科學通過率是71、74那工程科學、自然科學就88個跟88、兩個都88 |
transcript.whisperx[77].start |
3622.825 |
transcript.whisperx[77].end |
3642.12 |
transcript.whisperx[77].text |
那這個有沒有一些需要探討的空間說大批審跟誰誰審啊兩個對於各個類別的科技計畫會不會造成一些差異這個我也想要了解一下以上這個是43案以上 |
transcript.whisperx[78].start |
3642.847 |
transcript.whisperx[78].end |
3661.461 |
transcript.whisperx[78].text |
我們先請范雲委員然後呢范委員會之後您先回答然後在後面的委員先請范雲委員謝謝主席那我的案子是第一個是第44案那其實跟大家關心的深層式人工智慧非常的相關因為我們查到就是說其實就國外來講的話為了維持人機互動的 |
transcript.whisperx[79].start |
3664.143 |
transcript.whisperx[79].end |
3688.52 |
transcript.whisperx[79].text |
機器倫理技術研究非常重要國際上也不乏對人工倫理決策者的研究還有學者提出human in the loop or society in the loop回圈的過程中就應該有機器訓練這個過程中就要納入人跟社會的參與才能夠受到監督內涵也會有多元的價值 |
transcript.whisperx[80].start |
3689.241 |
transcript.whisperx[80].end |
3689.541 |
transcript.whisperx[80].text |
第14個案例 |
transcript.whisperx[81].start |
3709.501 |
transcript.whisperx[81].end |
3726.918 |
transcript.whisperx[81].text |
第二個是我的第45案就是其實這個我之前也都質詢過跟剛剛一樣就是我們2050的淨零碳排的目標的那其實有可能會造成社會衝擊跟深化不平等所以目前一個方向是如何落實公正轉型 |
transcript.whisperx[82].start |
3727.719 |
transcript.whisperx[82].end |
3744.287 |
transcript.whisperx[82].text |
例如日本就有相關的法規明定在綠能生產的過程中市丁村是再生能源協會的主體那確保當地的農林漁業經營者跟居民能夠在再生能源還有在地生活中間取得平衡 |
transcript.whisperx[83].start |
3745.007 |
transcript.whisperx[83].end |
3769.792 |
transcript.whisperx[83].text |
因果也會特別去關注產業鏈中的性別不平等研究近鄰轉型可能對女性帶來的衝擊跟協助方式因為我想經濟部那邊並不是主導研究可是我們國科會已經有相關的研究但是比較缺乏這個方面的就是不利處境然後如何以地方為轉型主體由下而上的實質的方式所以我是希望國科會 |
transcript.whisperx[84].start |
3770.912 |
transcript.whisperx[84].end |
3784.833 |
transcript.whisperx[84].text |
能夠在我們淨零碳排跟綠色轉型的過程中在公正轉型這個面向能夠增加相關的研究計畫研究先行未來也會對我們相關的法制決策有幫助這是我的第45案 |
transcript.whisperx[85].start |
3786.032 |
transcript.whisperx[85].end |
3786.473 |
transcript.whisperx[85].text |
第47案第47案 |
transcript.whisperx[86].start |
3802.894 |
transcript.whisperx[86].end |
3806.457 |
transcript.whisperx[86].text |
其實他們在申請出國開會的時候就會因為他有這個育兒的需要那其實事實上是沒有辦法出國不管是開去講學然後去國外演講或者參加研討會 |
transcript.whisperx[87].start |
3829.034 |
transcript.whisperx[87].end |
3850.747 |
transcript.whisperx[87].text |
國科會反映這與主計相關經費暴漲方式有關我希望你們可以去研議其他國家沒有相關的做法如果他要出國開會演講參加研討會這對科學家及社會科學學者都很重要有沒有什麼協助的方式這是第四期 |
transcript.whisperx[88].start |
3852.187 |
transcript.whisperx[88].end |
3869.095 |
transcript.whisperx[88].text |
第48案,也是之前我有質詢過的加拿大的研究就跟我們的國科會一樣他們已經把促進平等、促進多元、促進包容納入他整個研究的過程中,申請者要自我檢核 |
transcript.whisperx[89].start |
3870.656 |
transcript.whisperx[89].end |
3898.051 |
transcript.whisperx[89].text |
甚至申請者必須要說明學術團隊的組成、訓練有沒有吶喊促進、平等、多元、包容我之前質詢的時候主委也承諾會來研議這個方向所以我這邊本來是要凍結但你們溝通之後我是發現你們的確是有在做所以在做相關的一個鼓勵我這個改成主決議這一案就可以先改成主決議以上說明 謝謝 |
transcript.whisperx[90].start |
3899.512 |
transcript.whisperx[90].end |
3912.101 |
transcript.whisperx[90].text |
請主委好謝謝那個有關陳佩瑜委員的這個科普這個齁當然是會這個不忘初衷啦我們那個彩繪列車的那個彩繪其實應該是陳委員沒地了 |
transcript.whisperx[91].start |
3916.605 |
transcript.whisperx[91].end |
3927.013 |
transcript.whisperx[91].text |
就是說那個那個彩繪其實整個台灣在繞的時候它的效果應該是非常好那那個只是其中一部分但其他的我想我們會來這個加強好謝謝 |
transcript.whisperx[92].start |
3930.183 |
transcript.whisperx[92].end |
3935.766 |
transcript.whisperx[92].text |
二、繼續審查113年度中央政府總預算案有關黃國書委員會及事務委員會及事務委員會及事務委員會及事務委員 |
transcript.whisperx[93].start |
3956.235 |
transcript.whisperx[93].end |
3982.503 |
transcript.whisperx[93].text |
那其他的那個第43案是不是請我們中規處那個處長稍微說明一下對是是來請好跟委員報告就是我們的各個學門他們都有自己的審查標準那基本上我們大批跟水省最大的不同是在於我們水省大部分都是新進人員 |
transcript.whisperx[94].start |
3983.143 |
transcript.whisperx[94].end |
3996.979 |
transcript.whisperx[94].text |
委員會申請的那我們也為了鼓勵新進人員可以盡量多做研究計劃所以隨時能通過率會比大批的通過率平均要來的高那四個不同的學門也會因為他們的新進人員進來的PI的人數的比例會有一些 |
transcript.whisperx[95].start |
3998.16 |
transcript.whisperx[95].end |
3999.782 |
transcript.whisperx[95].text |
審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[96].start |
4023.042 |
transcript.whisperx[96].end |
4038.434 |
transcript.whisperx[96].text |
可能我的問題是這個樣子啊就是說大批審各個學門類別的審查都差不多啦五六成嘛但是你隨時審我的意思是說隨時審的時候人文科學跟生命科學的通過率大概只有七成 |
transcript.whisperx[97].start |
4039.395 |
transcript.whisperx[97].end |
4056.603 |
transcript.whisperx[97].text |
但是工程科學跟自然科學是將近九成我的意思是這樣所以你要解釋說那隨時審的時候為什麼人文科學生命科學會比工程科學跟自然科學還低將近兩成我的意思是這個問題 |
transcript.whisperx[98].start |
4057.763 |
transcript.whisperx[98].end |
4084.815 |
transcript.whisperx[98].text |
那個那個我們我們回去請那個中規處再把那個跟這個委員再說明一下應該是有原因我們不會隨時的話主要主要是人數的問題對PI人數問題因為因為有時候會看到這些差別是比方說人文跟生科他的人數比較多但你通過的案件會有限所以他通過率會有一點點變化這每年會有一些變化 |
transcript.whisperx[99].start |
4086.374 |
transcript.whisperx[99].end |
4097.941 |
transcript.whisperx[99].text |
對,會有一點冰涼,但是平均都會比大批來得高,明顯的高,因為要讓新的人能夠進來做研究。來,請站,那個處長 |
transcript.whisperx[100].start |
4108.912 |
transcript.whisperx[100].end |
4137.386 |
transcript.whisperx[100].text |
跟委員報告中長城計劃主要是部會要自行來提所以它就會才形成中長城計劃一、兩年那現在來講的話我們有一個改相關的機制就是說五億它的長城整個7成20億以上就要包中長城就是這樣規定它如果沒有這一個的話它就是一般的計劃就可以了但是跟委員報告不管是中長城還是一般的計劃所有科專計劃都有三級三省所有要經過管考 |
transcript.whisperx[101].start |
4138.626 |
transcript.whisperx[101].end |
4159.215 |
transcript.whisperx[101].text |
對,所有都經過管考那任何計畫都要經過這過程那我了解就是說我們列入中場的計畫其實是用那個計畫的預算的經費預算的高低來看如果低的就一般性計畫嗎?對對對要高的那大概要多高才會列入中場的計畫?一年是5億然後總成是21OK,總成是21對對,總成是21所以這樣子的 |
transcript.whisperx[102].start |
4165.177 |
transcript.whisperx[102].end |
4173.37 |
transcript.whisperx[102].text |
的數量是正常的嗎?是不是?數量一定會比較少,因為他要互惠自己來提,不然的話就是一般計畫。OK,好,那我了解。 |
transcript.whisperx[103].start |
4175.925 |
transcript.whisperx[103].end |
4201.792 |
transcript.whisperx[103].text |
那個范委員的我還沒有那個范委員有關這個人工智慧跟這個倫理法治這邊的確是非常重要因為這個AI它是good and bad有這個危害未來社會的一些方向我們是非常注意那事實上包括歐盟我前幾天在那邊他們也非常注意AI的另外一面但是我也跟他們講 |
transcript.whisperx[104].start |
4202.532 |
transcript.whisperx[104].end |
4225.67 |
transcript.whisperx[104].text |
AI的產業面也不要因為這個法制把它弄得太緊尤其在近期這個我們有在這個努力當中那有關這個近年這邊社會的公正轉型的確是當然是我們在研究這邊會盡量鼓勵多一點我們在近年這邊事實上我們已經國科會已經踏出一步了 |
transcript.whisperx[105].start |
4226.07 |
transcript.whisperx[105].end |
4236.692 |
transcript.whisperx[105].text |
就研究以外你要一些事情那有一次計畫已經在跟外面的這個NGO在接觸讓他們有一些實驗型的這個這個我們會來努力再加強 |
transcript.whisperx[106].start |
4238.789 |
transcript.whisperx[106].end |
4259.966 |
transcript.whisperx[106].text |
那這個育兒這個當然跟主計有關係那這個我也非常重視那如果主計我們回去想想看我可以跟主計這邊溝通的確這個是一個蠻大的問題EDI這個我也在努力當中好謝謝那我們接下來請陳秀寶委員發言 |
transcript.whisperx[107].start |
4264.332 |
transcript.whisperx[107].end |
4278.704 |
transcript.whisperx[107].text |
在這一幕裡面本席的案是第49案。那這個剛才我們國書委員講的時候其實我們主委這邊已經有解釋過了就是說這個培育優秀學者計畫因為你們是用多年期的這個方式所以說現在 |
transcript.whisperx[108].start |
4282.528 |
transcript.whisperx[108].end |
4295.199 |
transcript.whisperx[108].text |
議員會有一個減少的這個看起來是減少那既然已經這樣子說明了這個我可以接受是這一案文改圖決議但是我要講一下齁剛才培育委員第51案啊其實我們care的重點是說你編列了4400萬的預算可是你有1000萬是拿來做彩繪 |
transcript.whisperx[109].start |
4301.264 |
transcript.whisperx[109].end |
4305.988 |
transcript.whisperx[109].text |
我們中南部要爭取多一點的站點多一點的人數的參與都要還要跟你們討論跟你們爭取可是這個科普這個彩繪列這個彩繪領就花了一千萬在那邊是不是能夠說這樣子一個花在上面的效益跟實際上我們是不是能夠增加我們的學生的這個參與的人數站點這我們我們在意的是這一點所以培運委員覺得他這一案他是堅持一定要懂他可以跟其他委員並懂那因為我有跟他連署我對這個案子我也很在意你因為 |
transcript.whisperx[110].start |
4328.644 |
transcript.whisperx[110].end |
4354.722 |
transcript.whisperx[110].text |
主委應該很有印象我一直一直每一次反正執行的時候我一定會提到這個部分所以我們很在意說為什麼你把一千萬就拿來做彩繪四千四百萬裡面有一千萬是做彩繪所以說相對這個這個費用的比例我們會覺得有點覺得說是不是有你們要檢討要改就是去去檢討說這樣子做的效益是在哪裡那另外我幫那個議員講一下他等一下才會比較晚進來所以他一到四目他的案子全部改組決議以上 |
transcript.whisperx[111].start |
4358.239 |
transcript.whisperx[111].end |
4383.789 |
transcript.whisperx[111].text |
五十二案我改組決議我接受你們的說明重點就是盡量多鼓勵多年期研究計劃的部分改組決議五十三案呢要特別再跟主委叮嚀一下也希望等一下得到您的say yes |
transcript.whisperx[112].start |
4384.549 |
transcript.whisperx[112].end |
4397.611 |
transcript.whisperx[112].text |
就是我們人文處裡面的藝術學門其實領域越來越廣了我也看到在各類的補助上都盡量幫忙但是呢我調出總體的補助專體研究計畫發現呢還是比起其他學門是非常低的啦補助金額109到111年只有2.6億佔你們全部專體研究計畫的3.6 |
transcript.whisperx[113].start |
4412.054 |
transcript.whisperx[113].end |
4433.944 |
transcript.whisperx[113].text |
那我想藝術我前陣子臺北藝術大學那一棟臺灣第一棟的這個科學藝術館落成我很開心看到我們國課會有同仁有趣我們還看了最新的沉浸式的科技藝術的展演我相信大家都會看到那是臺灣未來非常有潛力的藝術領域結合臺灣的科技所以這一案是不是能夠請主委再承諾未來在藝術方面的專題研究 |
transcript.whisperx[114].start |
4441.368 |
transcript.whisperx[114].end |
4465.07 |
transcript.whisperx[114].text |
能夠再給更多這是53那54案呢我同意改組決議我接受了你們的說明那55案呢這個再提示一下科技顧問制度的成員諸位有在質詢的時候promise目前的領域雖然只有8位然後比較narrow一點您有承諾未來會擴大 |
transcript.whisperx[115].start |
4467.573 |
transcript.whisperx[115].end |
4476.313 |
transcript.whisperx[115].text |
我希望這個擴大就是即刻來進行那我提示的人設領域的再勞煩一下好嗎 |
transcript.whisperx[116].start |
4479.775 |
transcript.whisperx[116].end |
4505.15 |
transcript.whisperx[116].text |
56案我可以改組決議就是臺灣是不是要研議自己的AI發展的基本法那我同意我們現在並不需要現在處理但是相關的研究跟準備學習國際的經驗我覺得我們不要放棄56案改組決議OK那57案要特別唠叨一下下就是國科會這幾年非常投入的精準運動科學研究的專題計畫已經進入二期了嘛 |
transcript.whisperx[117].start |
4508.012 |
transcript.whisperx[117].end |
4508.412 |
transcript.whisperx[117].text |
議事委員會及所屬單位預算案 |
transcript.whisperx[118].start |
4538.652 |
transcript.whisperx[118].end |
4540.492 |
transcript.whisperx[118].text |
行政院主管行政院主管行政院主管行政院主管 |
transcript.whisperx[119].start |
4567.957 |
transcript.whisperx[119].end |
4593.944 |
transcript.whisperx[119].text |
這些都是未來的奧運發展的指定項目都是年輕化的運動項目所以對於年輕化的運動項目的科研要做第三大塊就是女性科研女性運動像我非常羨慕日本他們是花一個非常多年期的對於女性投入運動的各項研究譬如說女性如何避免她在生理期影響她的運動專業的表現 |
transcript.whisperx[120].start |
4596.397 |
transcript.whisperx[120].end |
4610.515 |
transcript.whisperx[120].text |
有各種的科學方法可以減輕它去去去妨礙它的表現這樣所以女性年輕化的新興項目以及全民運動的研究這個我花一點時間來報告希望可以納入我們 |
transcript.whisperx[121].start |
4611.716 |
transcript.whisperx[121].end |
4612.838 |
transcript.whisperx[121].text |
二、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[122].start |
4632.062 |
transcript.whisperx[122].end |
4632.462 |
transcript.whisperx[122].text |
委員會及所屬單位預算案 |
transcript.whisperx[123].start |
4649.332 |
transcript.whisperx[123].end |
4674.339 |
transcript.whisperx[123].text |
的基地在哪裡?那我之前也包括中全副主委我們跟你們的處裡頭包括跟這個那個經濟部都討論過了確實在台北市的市北科讓TTA成為一個新創基地進駐在那裡是需要的是可行的所以到底是租地自建或者是跟台北市政府合建 |
transcript.whisperx[124].start |
4675.339 |
transcript.whisperx[124].end |
4691.522 |
transcript.whisperx[124].text |
或者是進駐於臺北市政府未來自己有的建築裡面幾種方式我覺得我們都要努力來推進否則永遠新創基地對臺灣的科研這麼重要一直尾聲於小巨蛋 |
transcript.whisperx[125].start |
4692.5 |
transcript.whisperx[125].end |
4722.5 |
transcript.whisperx[125].text |
議員議員議員議員議員 |
transcript.whisperx[126].start |
4723 |
transcript.whisperx[126].end |
4729.383 |
transcript.whisperx[126].text |
教育及技術委員會及所屬單位預算案。adequate to all the committee members to participate. |
transcript.whisperx[127].start |
4729.383 |
transcript.whisperx[127].end |
4730.063 |
transcript.whisperx[127].text |
Thank you. |
transcript.whisperx[128].start |
4730.063 |
transcript.whisperx[128].end |
4749.17 |
transcript.whisperx[128].text |
接下來請張祺祿委員。我這邊是40案。當然這一案已經跟41案跟黃國書委員的幾乎很接近了。 主委剛剛也有回答了。我只是希望說,這邊一定會寫一個類似檢討報告。 我希望比較知道,在這個報告裡面我是建議把我們不同的學門 |
transcript.whisperx[129].start |
4750.911 |
transcript.whisperx[129].end |
4754.434 |
transcript.whisperx[129].text |
第二、繼續審查113年度中央政府總預算案有關國家科第二、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[130].start |
4769.445 |
transcript.whisperx[130].end |
4783.319 |
transcript.whisperx[130].text |
議員會議員議員會議員會議 |
transcript.whisperx[131].start |
4784.158 |
transcript.whisperx[131].end |
4785.338 |
transcript.whisperx[131].text |
事務委員會及所屬單位預算案有關國家科 |
transcript.whisperx[132].start |
4814.298 |
transcript.whisperx[132].end |
4830.946 |
transcript.whisperx[132].text |
那個剛好就是最後一個這個張綺路張委員這邊事實上我們會來檢討一下那一些資料我想再給這個相關槌尋的這個委員這個我想先簡短那剛剛就是我們這個 |
transcript.whisperx[133].start |
4836.325 |
transcript.whisperx[133].end |
4838.586 |
transcript.whisperx[133].text |
陳秀寶委員改組決議有關吳斯耀委員改組決議有關第53案有關第53案 |
transcript.whisperx[134].start |
4857.213 |
transcript.whisperx[134].end |
4858.294 |
transcript.whisperx[134].text |
二、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[135].start |
4879.349 |
transcript.whisperx[135].end |
4883.331 |
transcript.whisperx[135].text |
第二、繼續審查113年度中央政府總預算案有關國家科第二、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[136].start |
4899.292 |
transcript.whisperx[136].end |
4904.374 |
transcript.whisperx[136].text |
第二、繼續審查113年度中央政府總預算案有關國家科學技術發展基金附屬單位預算案第二、繼續審查113年度中央政府總預算案有關國家科學技術 |
transcript.whisperx[137].start |
4917.474 |
transcript.whisperx[137].end |
4938.28 |
transcript.whisperx[137].text |
謝謝我們幫忙去跟小巨蛋那邊去讓價錢低一點那未來我想新的這個TTA在台北市這邊的一些基地我想這個四北科我們這個是12月11號我們來跟大家去那邊看一下 |
transcript.whisperx[138].start |
4939.06 |
transcript.whisperx[138].end |
4949.524 |
transcript.whisperx[138].text |
我們也希望說可以因為事實上那個那邊的地也蠻貴的所以如果可以合建合作那個是最好的一個選擇好謝謝好那我們現在這一幕來處理那我們這樣總共凍結多少7000那我們打個折吧主委你們可以接受凍結多少 |
transcript.whisperx[139].start |
4966.485 |
transcript.whisperx[139].end |
4968.508 |
transcript.whisperx[139].text |
二、繼續審查113年度中央政府總預算案有關 |
transcript.whisperx[140].start |
4984.028 |
transcript.whisperx[140].end |
4996.316 |
transcript.whisperx[140].text |
對對對對改組決議的改組決議其他的都是並動那我們這一幕就是凍結2000萬家書面報告那麼組決議的部分48案、49案、50案、52案、54案、56案、58案、61案、62案還有林益錦委員的2案、14案、17案、19案、20案、25案、34案、35案也是改組決議 |
transcript.whisperx[141].start |
5012.032 |
transcript.whisperx[141].end |
5023.162 |
transcript.whisperx[141].text |
主決議部分65案、66案、67案遵照辦理68案文字修正69案遵照辦理70案透過文字修正71、72、73、74、75、76、77、78遵照辦理79案文字修正80、81、82、83 |
transcript.whisperx[142].start |
5032.931 |
transcript.whisperx[142].end |
5036.295 |
transcript.whisperx[142].text |
總預算案有關國家科總預算案有關國家科總預算案有關國家科總預算案有關國家科總預算案有關 |
transcript.whisperx[143].start |
5048.268 |
transcript.whisperx[143].end |
5070.813 |
transcript.whisperx[143].text |
第一案、一案、三、四、六、八、九、十、十二、十五、十六、二十四、二十六、二十七、二十九、三十、三十一、三十三、三十七、三十八、三十九等案。好,請問各位委員還有沒有意見?好,沒有的話我們就照案通過。接下來 |
transcript.whisperx[144].start |
5074.721 |
transcript.whisperx[144].end |
5103.413 |
transcript.whisperx[144].text |
我們進行新竹科學園區管理局還有中部科學園區管理局第94案是張亮萬間的部分那我們這個部分就不處理就照列了照列接下來是新竹科學園區管理局的第一幕95案96案兩案有沒有改組決議改組決議接下來第4幕照列第一幕 |
transcript.whisperx[145].start |
5104.882 |
transcript.whisperx[145].end |
5110.204 |
transcript.whisperx[145].text |
預算照列然後95案96案是改組決議接下來是第4幕第4幕是園區業務的推展好等一下喔第97案到第103案我們請陳秀寶委員 |
transcript.whisperx[146].start |
5122.711 |
transcript.whisperx[146].end |
5141.967 |
transcript.whisperx[146].text |
在這一幕的部分我的案子是102案主要是針對說我們園區的這個廢棄物再利用率蠻低的分別是在竹科的部分在電腦周邊以及機密機械的部分分別是49.93%還有55.26%就是低於6成那這個部分呢 |
transcript.whisperx[147].start |
5149.198 |
transcript.whisperx[147].end |
5176.655 |
transcript.whisperx[147].text |
雖然你們有來說明啦就是說竹科就是說這邊整體的在利用率已經有接近九成那而且有一些是因為產業特性還有說是包材的影響那我想說提這個案子一次希望說因為竹科是身為我們國科學園區之首其實大家很多的做法跟那個都會向竹科看齊向竹科來學習所以這個部分希望可以規劃再更努力那這個部分我可以 |
transcript.whisperx[148].start |
5177.575 |
transcript.whisperx[148].end |
5179.396 |
transcript.whisperx[148].text |
主管行政院主管行政院主管行政院主管 |
transcript.whisperx[149].start |
5205.503 |
transcript.whisperx[149].end |
5228.233 |
transcript.whisperx[149].text |
我是97案那後續在中科南科都是一樣的我就一起講就是針對我們的幾大園區的再生能源發電的設置我當然理解新竹竹科是開發的比較早那現在有一些建築都是既定的比較難突破但是我認為這也不是唯一的理由 |
transcript.whisperx[150].start |
5229.286 |
transcript.whisperx[150].end |
5253.371 |
transcript.whisperx[150].text |
如果說台灣的對於再生能源的科研還是沒有辦法經濟受限於已經做好的建物就不能做那我覺得我們的科技就打屁股了嘛所以說以建的當然想辦法還是來增加再生能源的發電比例因為我們就是善用我們的科技那第二個我也不認為我們消極的叫大家去買那個買綠電就好我覺得這樣實在是 |
transcript.whisperx[151].start |
5259.731 |
transcript.whisperx[151].end |
5261.133 |
transcript.whisperx[151].text |
總預算案有關國家科總預算案 |
transcript.whisperx[152].start |
5281.597 |
transcript.whisperx[152].end |
5307.62 |
transcript.whisperx[152].text |
請主委回答好 那個有關程序保護人這個改主席那個謝謝這個我想我們會來督促主科尤其是一些比較舊的來既然大家要盡量往這個零廢棄這邊來走啦這個我想局長應該也蠻這個用心在做這個那有關這個吳思瑤委員這邊我當然也有同感 |
transcript.whisperx[153].start |
5308.598 |
transcript.whisperx[153].end |
5325.886 |
transcript.whisperx[153].text |
因為很多比如說台積電他上面其實我有要求他們去那事實上他因為他機密度蠻大但是我想我們未來還是要既然他們有這麼大的綠電需求應該也要自己也可以來努力一下來 葛中跟你講 |
transcript.whisperx[154].start |
5326.366 |
transcript.whisperx[154].end |
5345.779 |
transcript.whisperx[154].text |
我跟委員報告,即使我們有找專家去看每一個舊廠可不可以來增加太陽能光電,並不是消極不作為。目前可用新建案,有些有改善,就是增加。所以你剛提到是0.39%,現在已經0.45%了。 |
transcript.whisperx[155].start |
5350.441 |
transcript.whisperx[155].end |
5352.742 |
transcript.whisperx[155].text |
五、繼續審查113年度中央政府總預算案有關國家科五、繼續審查113年度中央政府總預算案 |
transcript.whisperx[156].start |
5367.768 |
transcript.whisperx[156].end |
5369.529 |
transcript.whisperx[156].text |
主管行政委員會及所屬單位預算案有關國家科 |
transcript.whisperx[157].start |
5381.559 |
transcript.whisperx[157].end |
5401.977 |
transcript.whisperx[157].text |
那個我們持續來加油的確未來這個再生能源的需求跟重要性越來越大那這個我本身也蠻這個第一個我原來也覺得說奇怪他怎麼那麼少那我後來有了解有一些目前的困難但是那些困難我想我們再來找一些新的辦法來解決 |
transcript.whisperx[158].start |
5404.413 |
transcript.whisperx[158].end |
5418.891 |
transcript.whisperx[158].text |
謝謝我當然知道說你們有努力想做啦但我覺得這整件事情都是非不能也不為也而已啦所以在態度上要更積極然後要想方法如果說現在廠商他就有抗拒 |
transcript.whisperx[159].start |
5419.872 |
transcript.whisperx[159].end |
5435.06 |
transcript.whisperx[159].text |
議員議員議員議員議員議員 |
transcript.whisperx[160].start |
5435.3 |
transcript.whisperx[160].end |
5435.94 |
transcript.whisperx[160].text |
請林一錦委員補充發言。 |
transcript.whisperx[161].start |
5461.521 |
transcript.whisperx[161].end |
5485.502 |
transcript.whisperx[161].text |
謝謝主席喔不好意思喔因為慢了半個天不曉得大家進度很快不錯不錯不過不好意思喔因為前面都已經討論過那我想補充的是在我的主決議81案主決議我是有一些特別的想法就是這個因應我們文化部有一個文化 |
transcript.whisperx[162].start |
5487.223 |
transcript.whisperx[162].end |
5489.164 |
transcript.whisperx[162].text |
發展基金附屬單位預算案有關國家科 |
transcript.whisperx[163].start |
5512.193 |
transcript.whisperx[163].end |
5513.774 |
transcript.whisperx[163].text |
事務委員會及所屬單位預算案 |
transcript.whisperx[164].start |
5543.733 |
transcript.whisperx[164].end |
5544.874 |
transcript.whisperx[164].text |
主委請回答 |
transcript.whisperx[165].start |
5560.046 |
transcript.whisperx[165].end |
5564.529 |
transcript.whisperx[165].text |
二、繼續審查113年度中央政府總預算案有關國家科二、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[166].start |
5581.64 |
transcript.whisperx[166].end |
5585.581 |
transcript.whisperx[166].text |
五、繼續審查113年度中央政府總預算案有關國家科五、繼續審查113年度中央政府總預算案有關國家科五、繼續審查113年度中央政府總預算案有關國家科五、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[167].start |
5610.834 |
transcript.whisperx[167].end |
5614.597 |
transcript.whisperx[167].text |
一、繼續審查113年度中央政府總預算案有關國家科一、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[168].start |
5634.121 |
transcript.whisperx[168].end |
5653.763 |
transcript.whisperx[168].text |
議員議員議員議員議員議員議員議員議員 |
transcript.whisperx[169].start |
5653.823 |
transcript.whisperx[169].end |
5655.164 |
transcript.whisperx[169].text |
第102案改組決議104、105遵照辦理106案文字修正中科 |
transcript.whisperx[170].start |
5668.215 |
transcript.whisperx[170].end |
5680.185 |
transcript.whisperx[170].text |
科學及技術委員會及所屬單位預算案。第一幕107案108案改組決議所以我們就是照列第四幕園區業務推展的部分第109案到115案請委員發言請吳思耀委員 |
transcript.whisperx[171].start |
5685.709 |
transcript.whisperx[171].end |
5685.909 |
transcript.whisperx[171].text |
陳秀寶委員 |
transcript.whisperx[172].start |
5714.055 |
transcript.whisperx[172].end |
5731.587 |
transcript.whisperx[172].text |
這一幕裡面我的案子是115案其實是跟剛剛那個主科的問題是一樣的是希望說這個廢棄物在利用的比例但因為這個在中科的這個部分關於生物科技之111年這個廢棄物在利用率只有21.35% |
transcript.whisperx[173].start |
5733.968 |
transcript.whisperx[173].end |
5734.549 |
transcript.whisperx[173].text |
事務委員會及所屬單位預算案有關國家科 |
transcript.whisperx[174].start |
5758.63 |
transcript.whisperx[174].end |
5760.992 |
transcript.whisperx[174].text |
基金附屬單位預算案有關國家科基金附屬單位預算案有關國家科 |
transcript.whisperx[175].start |
5785.458 |
transcript.whisperx[175].end |
5808.54 |
transcript.whisperx[175].text |
您要回答嗎?我的部分謝謝委員的一個關心就是我們這個太陽能發電我們有新區還有擴建的這個部分我們會有它那個半導體新的產業的20%還有5.5%新的我們一定會強力來要求它我有提供的數字給主委參考剛剛竹科說努力到0.45%的再生能源發電量 |
transcript.whisperx[176].start |
5810.56 |
transcript.whisperx[176].end |
5838.103 |
transcript.whisperx[176].text |
中科是這樣這幾年來這三年來的用電量提升百分之八但是台電給我的資料就是去年的中科太陽能設備的發電量只佔中科總園區用電量的百分之零點五六所以中科是新區也只有零點五六所以主委這個沒有動二十萬也說不過去講就是說這是我就覺得沒有辦法接受啦 |
transcript.whisperx[177].start |
5839.434 |
transcript.whisperx[177].end |
5840.996 |
transcript.whisperx[177].text |
二、繼續審查113年度中央政府總預算案有關國家科 |
transcript.whisperx[178].start |
5852.859 |
transcript.whisperx[178].end |
5853.859 |
transcript.whisperx[178].text |
第111案、113案、114案、115案改組決議。 |
transcript.whisperx[179].start |
5874.332 |
transcript.whisperx[179].end |
5888.006 |
transcript.whisperx[179].text |
好接下來主決議的部分第116案照案通過再來是南科南部科學園區管理局的這個預算第一幕117來來117案118案改組決議所以我們就照列第4幕園區業務推展119案到126案有沒有發言請吳世耀委員 |
transcript.whisperx[180].start |
5899.406 |
transcript.whisperx[180].end |
5927.089 |
transcript.whisperx[180].text |
所以南科我也提醒一下我這裡的資料南科近三年來的用電量增加了11%但是台電給的資料111年度南科太陽能的發電量只佔園區的0.50.5沒有還是我數字有錯台電給我的請回答等一下等一下對不起請陳秀寶委員發言 |
transcript.whisperx[181].start |
5930.078 |
transcript.whisperx[181].end |
5953.514 |
transcript.whisperx[181].text |
謝謝主席。在這一幕裡面呢我當然只是一二四案齁這個就針對我們藍科齁就是租金收租金的這個部分其實幾乎每一次齁審預算的時候都會被拿出來討論在檢討當然我也知道你們有想辦法有很多的就是不管是你們記這個吹討的信函那種種的你們也在努力啦但是 |
transcript.whisperx[182].start |
5954.495 |
transcript.whisperx[182].end |
5977.789 |
transcript.whisperx[182].text |
未來是不是也是要去規劃說像這樣有基金風險的廠商我們有這樣的經驗了我們是不是有一些相對應的機制那這個是這個案子我沒有堅持一定要凍結我可以幹組決議但是因為每年你們都會被檢討每年每一次所以這個部分你們自己本身還是要想一個對策來解決你們這樣子業務上的一個困境看怎麼去突破以上請回答 |
transcript.whisperx[183].start |
5981.384 |
transcript.whisperx[183].end |
5995.573 |
transcript.whisperx[183].text |
主席還有各位委員謝謝委員關心太陽能發電我們太陽能發電其實佔到2.89目前已經有將近60幾MW的在南科裡面等一下喔是總再生能源發電量2.89是是是是太陽光電發電量的佔比佔總發電量的2.89我們目前的數據目前是這樣但是將來還會再提升也就是說我們66MW的太陽能光電將來會成長到將近85這個我們持續在努力啦這個謝謝委員關心繼續加油 |
transcript.whisperx[184].start |
6011.202 |
transcript.whisperx[184].end |
6029.7 |
transcript.whisperx[184].text |
租金的部分確實我們從源頭管理就是入區廠商的篩選讓他進駐的時候就管理那他的經營過程我們也有預警的機制那吹收如果我們有SOP我們會努力來吹收回來我們過去已經收了3000多萬那我們會持續追謝謝委員的關心好那你們南科要怎麼處理有要凍結嗎請問委員20萬 |
transcript.whisperx[185].start |
6032.315 |
transcript.whisperx[185].end |
6039.601 |
transcript.whisperx[185].text |
好,那我們這個南科這一部分就是凍結20萬家書面報告好,然後這個121案、124案、125、126案改組決議好,接下來組決議127案、128案照案通過好再來是基金的部分好 |
transcript.whisperx[186].start |
6060.464 |
transcript.whisperx[186].end |
6066.09 |
transcript.whisperx[186].text |
行政院國家科學技術發展基金第一案陳秀寶委員 |
transcript.whisperx[187].start |
6077.293 |
transcript.whisperx[187].end |
6095.524 |
transcript.whisperx[187].text |
這個案子其實我提這個增列的部分是希望說能夠更積極的來推廣我們研發的成果那前年的前年度的權利金收入相較於決算數其實是增加了決算數相較於預算數是增加了 |
transcript.whisperx[188].start |
6100.426 |
transcript.whisperx[188].end |
6124.09 |
transcript.whisperx[188].text |
決算比預算多了2000多萬所以我覺得應該是可以積極的來規劃這個但是你們有來說明就是說這個部分我沒有堅持但是我覺得不知道其他委員有沒有什麼意見那謝謝那我們這一案就照列然後接下來是基金來源的部分第一案照列那麼接下來是基金用途推動整體科技發展計畫的部分那麼張起你說策案是哪一個 |
transcript.whisperx[189].start |
6131.391 |
transcript.whisperx[189].end |
6136.396 |
transcript.whisperx[189].text |
第二、繼續審查113年度中央政府總預算案有關國家科學及技術委員會及所屬單位預算案第二、繼續審查113年度中央政府總預算案有關國家科學及技術委員會及所屬單位預算案第二、繼續審查113年度中央政府總預算案有關 |
transcript.whisperx[190].start |
6158.083 |
transcript.whisperx[190].end |
6160.044 |
transcript.whisperx[190].text |
政府總預算案有關國家科學及技術委員會及所屬單位預算案 |
transcript.whisperx[191].start |
6186.563 |
transcript.whisperx[191].end |
6188.854 |
transcript.whisperx[191].text |
我是9號成立所以如果下禮拜五 |
transcript.whisperx[192].start |
6191.054 |
transcript.whisperx[192].end |
6220.183 |
transcript.whisperx[192].text |
這個部分呢我本來提的凍結金額是100萬但是你們有來說明了啦其實我沒有其實我們提凍金額其實也是希望你們在你們的業務上可以更精進那你們有來說明的話這個部分我沒有堅持要動我可以再改組決議好改組決議那我們就是照列那接下來是國家科學技術委員會監督國家太空中心總支出的預算有兩案 |
transcript.whisperx[193].start |
6221.744 |
transcript.whisperx[193].end |
6243.826 |
transcript.whisperx[193].text |
那陳秀寶委員有要發言嗎?不用。那我們這就是照列囉。好。那麼就照列。主決議第三案就照案通過。好。還有嗎?好。那接下來呢?好。我們先休息五分鐘。 |
transcript.whisperx[194].start |
6247.92 |
transcript.whisperx[194].end |
6248.602 |
transcript.whisperx[194].text |
委員會及所屬單位預算案。 |
transcript.whisperx[195].start |
6256.995 |
transcript.whisperx[195].end |
6257.796 |
transcript.whisperx[195].text |
我每天在拚選舉 |
transcript.whisperx[196].start |
6836.34 |
transcript.whisperx[196].end |
6857.807 |
transcript.whisperx[196].text |
議員議員議員議員議員 |
transcript.whisperx[197].start |
6857.907 |
transcript.whisperx[197].end |
6880.549 |
transcript.whisperx[197].text |
一百、一百零二、一百零七、一百零八、一百一十一、一百一十三、一百一十四、一百一十五、一百一十七、一百一十八、一百二十一、一百二十四、一百二十五、一百二十六另外發展基金的部分第四案災防科技中心的部分第一案以上請問各位委員有沒有意見沒有意見我們就通通照案通過 |
transcript.whisperx[198].start |
6882.259 |
transcript.whisperx[198].end |
6907.535 |
transcript.whisperx[198].text |
好,今天的審查結果免予重複宣讀在不影響文藝前提下授權議事人員一、113年度中央政府總預算案審查報告與黨團協商之範例整理列入記錄一、113年度行政法人國家災害防救科技中心預算案一、112年度及113年度行政法人國家太空中心預算案均已審查完略 |
transcript.whisperx[199].start |
6910.897 |
transcript.whisperx[199].end |
6926.244 |
transcript.whisperx[199].text |
科學及技術發展基金附屬單位預算案。adequately 113年度中央政府總預算案有關國家科學及技術委員會及所屬單位預算案。 |
transcript.whisperx[200].start |
6932.146 |
transcript.whisperx[200].end |
6958.426 |
transcript.whisperx[200].text |
國家科學及技術委員會主管科學園區管理局作業基金附屬單位預算案全部審查完均113年度行政法人國家災害防救科技中心預算案112年度及113年度行政法人國家太空中心預算案均審查完均拟據審查報告提報院會不須交由黨團協商 |
transcript.whisperx[201].start |
6961.672 |
transcript.whisperx[201].end |
6978.872 |
transcript.whisperx[201].text |
議會討論時由正召集委員立文補充說明對於委員質詢要求提供相關資料或未及答覆部分請相關機關請速以書面答覆。報告委員會今天議程處理完畢現在散會謝謝各位 |