video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/7a505bc1fba11f2d161a8535b05d3ed3ad9f551ce5fa921fedb79b8bfb08e79988aed5e44523ff675ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-11-13T09:00:00+08:00 |
會議名稱 |
立法院第11屆第2會期外交及國防委員會第12次全體委員會議【含秘密會議】(事由:一、審查114年度中央政府總預算案關於國防部主管收支公開及機密部分(不含國家安全局部分)。(僅詢答)
二、審查114年度中央政府總預算案附屬單位預算關於國防部主管非營業基金:(僅詢答)
(一)作業基金:
1、國軍生產及服務作業基金。
2、國軍老舊眷村改建基金。
3、國防醫學院軍事教育基金。
(二)資本計畫基金-國軍營舍及設施改建基金。) |
委員名稱 |
完整會議 |
影片長度 |
13965 |
委員發言時間 |
08:30:15 - 12:23:00 |
transcript.pyannote[0].speaker |
SPEAKER_17 |
transcript.pyannote[0].start |
1859.30159375 |
transcript.pyannote[0].end |
1862.45721875 |
transcript.pyannote[1].speaker |
SPEAKER_06 |
transcript.pyannote[1].start |
1867.36784375 |
transcript.pyannote[1].end |
1871.92409375 |
transcript.pyannote[2].speaker |
SPEAKER_19 |
transcript.pyannote[2].start |
1872.95346875 |
transcript.pyannote[2].end |
1883.61846875 |
transcript.pyannote[3].speaker |
SPEAKER_19 |
transcript.pyannote[3].start |
1884.07409375 |
transcript.pyannote[3].end |
1885.77846875 |
transcript.pyannote[4].speaker |
SPEAKER_19 |
transcript.pyannote[4].start |
1885.94721875 |
transcript.pyannote[4].end |
1887.76971875 |
transcript.pyannote[5].speaker |
SPEAKER_19 |
transcript.pyannote[5].start |
1888.02284375 |
transcript.pyannote[5].end |
1889.96346875 |
transcript.pyannote[6].speaker |
SPEAKER_19 |
transcript.pyannote[6].start |
1890.31784375 |
transcript.pyannote[6].end |
1891.68471875 |
transcript.pyannote[7].speaker |
SPEAKER_19 |
transcript.pyannote[7].start |
1891.88721875 |
transcript.pyannote[7].end |
1894.75596875 |
transcript.pyannote[8].speaker |
SPEAKER_19 |
transcript.pyannote[8].start |
1895.12721875 |
transcript.pyannote[8].end |
1897.40534375 |
transcript.pyannote[9].speaker |
SPEAKER_19 |
transcript.pyannote[9].start |
1897.57409375 |
transcript.pyannote[9].end |
1899.37971875 |
transcript.pyannote[10].speaker |
SPEAKER_19 |
transcript.pyannote[10].start |
1899.53159375 |
transcript.pyannote[10].end |
1906.53471875 |
transcript.pyannote[11].speaker |
SPEAKER_19 |
transcript.pyannote[11].start |
1906.72034375 |
transcript.pyannote[11].end |
1909.40346875 |
transcript.pyannote[12].speaker |
SPEAKER_19 |
transcript.pyannote[12].start |
1909.52159375 |
transcript.pyannote[12].end |
1911.81659375 |
transcript.pyannote[13].speaker |
SPEAKER_19 |
transcript.pyannote[13].start |
1912.06971875 |
transcript.pyannote[13].end |
1916.15346875 |
transcript.pyannote[14].speaker |
SPEAKER_19 |
transcript.pyannote[14].start |
1916.52471875 |
transcript.pyannote[14].end |
1917.63846875 |
transcript.pyannote[15].speaker |
SPEAKER_19 |
transcript.pyannote[15].start |
1917.89159375 |
transcript.pyannote[15].end |
1922.38034375 |
transcript.pyannote[16].speaker |
SPEAKER_19 |
transcript.pyannote[16].start |
1922.66721875 |
transcript.pyannote[16].end |
1925.56971875 |
transcript.pyannote[17].speaker |
SPEAKER_19 |
transcript.pyannote[17].start |
1926.16034375 |
transcript.pyannote[17].end |
1933.63596875 |
transcript.pyannote[18].speaker |
SPEAKER_19 |
transcript.pyannote[18].start |
1934.04096875 |
transcript.pyannote[18].end |
1937.88846875 |
transcript.pyannote[19].speaker |
SPEAKER_19 |
transcript.pyannote[19].start |
1938.19221875 |
transcript.pyannote[19].end |
1942.09034375 |
transcript.pyannote[20].speaker |
SPEAKER_19 |
transcript.pyannote[20].start |
1942.56284375 |
transcript.pyannote[20].end |
1944.41909375 |
transcript.pyannote[21].speaker |
SPEAKER_19 |
transcript.pyannote[21].start |
1944.80721875 |
transcript.pyannote[21].end |
1949.09346875 |
transcript.pyannote[22].speaker |
SPEAKER_06 |
transcript.pyannote[22].start |
1952.19846875 |
transcript.pyannote[22].end |
1957.71659375 |
transcript.pyannote[23].speaker |
SPEAKER_06 |
transcript.pyannote[23].start |
1958.89784375 |
transcript.pyannote[23].end |
1962.66096875 |
transcript.pyannote[24].speaker |
SPEAKER_19 |
transcript.pyannote[24].start |
1965.22596875 |
transcript.pyannote[24].end |
1971.19971875 |
transcript.pyannote[25].speaker |
SPEAKER_19 |
transcript.pyannote[25].start |
1971.55409375 |
transcript.pyannote[25].end |
1974.05159375 |
transcript.pyannote[26].speaker |
SPEAKER_19 |
transcript.pyannote[26].start |
1974.08534375 |
transcript.pyannote[26].end |
1983.53534375 |
transcript.pyannote[27].speaker |
SPEAKER_19 |
transcript.pyannote[27].start |
1983.88971875 |
transcript.pyannote[27].end |
1987.09596875 |
transcript.pyannote[28].speaker |
SPEAKER_19 |
transcript.pyannote[28].start |
1987.26471875 |
transcript.pyannote[28].end |
1992.88409375 |
transcript.pyannote[29].speaker |
SPEAKER_06 |
transcript.pyannote[29].start |
1998.11534375 |
transcript.pyannote[29].end |
2001.96284375 |
transcript.pyannote[30].speaker |
SPEAKER_06 |
transcript.pyannote[30].start |
2005.08471875 |
transcript.pyannote[30].end |
2006.43471875 |
transcript.pyannote[31].speaker |
SPEAKER_06 |
transcript.pyannote[31].start |
2008.40909375 |
transcript.pyannote[31].end |
2009.38784375 |
transcript.pyannote[32].speaker |
SPEAKER_06 |
transcript.pyannote[32].start |
2011.19346875 |
transcript.pyannote[32].end |
2012.98221875 |
transcript.pyannote[33].speaker |
SPEAKER_06 |
transcript.pyannote[33].start |
2013.23534375 |
transcript.pyannote[33].end |
2014.58534375 |
transcript.pyannote[34].speaker |
SPEAKER_06 |
transcript.pyannote[34].start |
2016.67784375 |
transcript.pyannote[34].end |
2018.95596875 |
transcript.pyannote[35].speaker |
SPEAKER_06 |
transcript.pyannote[35].start |
2021.14971875 |
transcript.pyannote[35].end |
2022.68534375 |
transcript.pyannote[36].speaker |
SPEAKER_06 |
transcript.pyannote[36].start |
2025.25034375 |
transcript.pyannote[36].end |
2026.95471875 |
transcript.pyannote[37].speaker |
SPEAKER_06 |
transcript.pyannote[37].start |
2028.91221875 |
transcript.pyannote[37].end |
2031.61221875 |
transcript.pyannote[38].speaker |
SPEAKER_06 |
transcript.pyannote[38].start |
2033.36721875 |
transcript.pyannote[38].end |
2034.59909375 |
transcript.pyannote[39].speaker |
SPEAKER_06 |
transcript.pyannote[39].start |
2035.54409375 |
transcript.pyannote[39].end |
2036.32034375 |
transcript.pyannote[40].speaker |
SPEAKER_06 |
transcript.pyannote[40].start |
2038.48034375 |
transcript.pyannote[40].end |
2040.92721875 |
transcript.pyannote[41].speaker |
SPEAKER_06 |
transcript.pyannote[41].start |
2043.07034375 |
transcript.pyannote[41].end |
2044.84221875 |
transcript.pyannote[42].speaker |
SPEAKER_06 |
transcript.pyannote[42].start |
2046.46221875 |
transcript.pyannote[42].end |
2047.81221875 |
transcript.pyannote[43].speaker |
SPEAKER_06 |
transcript.pyannote[43].start |
2049.73596875 |
transcript.pyannote[43].end |
2051.23784375 |
transcript.pyannote[44].speaker |
SPEAKER_06 |
transcript.pyannote[44].start |
2053.14471875 |
transcript.pyannote[44].end |
2054.69721875 |
transcript.pyannote[45].speaker |
SPEAKER_06 |
transcript.pyannote[45].start |
2055.16971875 |
transcript.pyannote[45].end |
2057.07659375 |
transcript.pyannote[46].speaker |
SPEAKER_06 |
transcript.pyannote[46].start |
2060.21534375 |
transcript.pyannote[46].end |
2061.04221875 |
transcript.pyannote[47].speaker |
SPEAKER_06 |
transcript.pyannote[47].start |
2064.06284375 |
transcript.pyannote[47].end |
2064.45096875 |
transcript.pyannote[48].speaker |
SPEAKER_06 |
transcript.pyannote[48].start |
2065.49721875 |
transcript.pyannote[48].end |
2065.69971875 |
transcript.pyannote[49].speaker |
SPEAKER_06 |
transcript.pyannote[49].start |
2066.20596875 |
transcript.pyannote[49].end |
2067.74159375 |
transcript.pyannote[50].speaker |
SPEAKER_06 |
transcript.pyannote[50].start |
2068.07909375 |
transcript.pyannote[50].end |
2069.56409375 |
transcript.pyannote[51].speaker |
SPEAKER_06 |
transcript.pyannote[51].start |
2070.12096875 |
transcript.pyannote[51].end |
2072.02784375 |
transcript.pyannote[52].speaker |
SPEAKER_06 |
transcript.pyannote[52].start |
2075.16659375 |
transcript.pyannote[52].end |
2077.00596875 |
transcript.pyannote[53].speaker |
SPEAKER_06 |
transcript.pyannote[53].start |
2079.72284375 |
transcript.pyannote[53].end |
2081.34284375 |
transcript.pyannote[54].speaker |
SPEAKER_06 |
transcript.pyannote[54].start |
2082.99659375 |
transcript.pyannote[54].end |
2085.35909375 |
transcript.pyannote[55].speaker |
SPEAKER_06 |
transcript.pyannote[55].start |
2086.79346875 |
transcript.pyannote[55].end |
2087.85659375 |
transcript.pyannote[56].speaker |
SPEAKER_06 |
transcript.pyannote[56].start |
2088.51471875 |
transcript.pyannote[56].end |
2095.31534375 |
transcript.pyannote[57].speaker |
SPEAKER_06 |
transcript.pyannote[57].start |
2097.54284375 |
transcript.pyannote[57].end |
2099.31471875 |
transcript.pyannote[58].speaker |
SPEAKER_06 |
transcript.pyannote[58].start |
2102.03159375 |
transcript.pyannote[58].end |
2103.73596875 |
transcript.pyannote[59].speaker |
SPEAKER_06 |
transcript.pyannote[59].start |
2105.55846875 |
transcript.pyannote[59].end |
2107.39784375 |
transcript.pyannote[60].speaker |
SPEAKER_06 |
transcript.pyannote[60].start |
2109.38909375 |
transcript.pyannote[60].end |
2111.80221875 |
transcript.pyannote[61].speaker |
SPEAKER_06 |
transcript.pyannote[61].start |
2113.67534375 |
transcript.pyannote[61].end |
2116.08846875 |
transcript.pyannote[62].speaker |
SPEAKER_06 |
transcript.pyannote[62].start |
2117.48909375 |
transcript.pyannote[62].end |
2120.88096875 |
transcript.pyannote[63].speaker |
SPEAKER_06 |
transcript.pyannote[63].start |
2122.83846875 |
transcript.pyannote[63].end |
2125.25159375 |
transcript.pyannote[64].speaker |
SPEAKER_06 |
transcript.pyannote[64].start |
2128.15409375 |
transcript.pyannote[64].end |
2131.29284375 |
transcript.pyannote[65].speaker |
SPEAKER_06 |
transcript.pyannote[65].start |
2132.99721875 |
transcript.pyannote[65].end |
2135.00534375 |
transcript.pyannote[66].speaker |
SPEAKER_06 |
transcript.pyannote[66].start |
2137.57034375 |
transcript.pyannote[66].end |
2138.98784375 |
transcript.pyannote[67].speaker |
SPEAKER_06 |
transcript.pyannote[67].start |
2140.67534375 |
transcript.pyannote[67].end |
2142.48096875 |
transcript.pyannote[68].speaker |
SPEAKER_06 |
transcript.pyannote[68].start |
2143.86471875 |
transcript.pyannote[68].end |
2145.43409375 |
transcript.pyannote[69].speaker |
SPEAKER_06 |
transcript.pyannote[69].start |
2147.56034375 |
transcript.pyannote[69].end |
2150.05784375 |
transcript.pyannote[70].speaker |
SPEAKER_06 |
transcript.pyannote[70].start |
2152.58909375 |
transcript.pyannote[70].end |
2154.49596875 |
transcript.pyannote[71].speaker |
SPEAKER_06 |
transcript.pyannote[71].start |
2156.23409375 |
transcript.pyannote[71].end |
2159.01846875 |
transcript.pyannote[72].speaker |
SPEAKER_06 |
transcript.pyannote[72].start |
2160.70596875 |
transcript.pyannote[72].end |
2163.67596875 |
transcript.pyannote[73].speaker |
SPEAKER_06 |
transcript.pyannote[73].start |
2165.73471875 |
transcript.pyannote[73].end |
2167.59096875 |
transcript.pyannote[74].speaker |
SPEAKER_06 |
transcript.pyannote[74].start |
2169.36284375 |
transcript.pyannote[74].end |
2171.25284375 |
transcript.pyannote[75].speaker |
SPEAKER_06 |
transcript.pyannote[75].start |
2172.60284375 |
transcript.pyannote[75].end |
2174.61096875 |
transcript.pyannote[76].speaker |
SPEAKER_06 |
transcript.pyannote[76].start |
2176.83846875 |
transcript.pyannote[76].end |
2179.89284375 |
transcript.pyannote[77].speaker |
SPEAKER_06 |
transcript.pyannote[77].start |
2182.39034375 |
transcript.pyannote[77].end |
2184.12846875 |
transcript.pyannote[78].speaker |
SPEAKER_06 |
transcript.pyannote[78].start |
2185.66409375 |
transcript.pyannote[78].end |
2191.55346875 |
transcript.pyannote[79].speaker |
SPEAKER_06 |
transcript.pyannote[79].start |
2193.64596875 |
transcript.pyannote[79].end |
2200.39596875 |
transcript.pyannote[80].speaker |
SPEAKER_06 |
transcript.pyannote[80].start |
2200.64909375 |
transcript.pyannote[80].end |
2202.23534375 |
transcript.pyannote[81].speaker |
SPEAKER_06 |
transcript.pyannote[81].start |
2202.28596875 |
transcript.pyannote[81].end |
2205.28971875 |
transcript.pyannote[82].speaker |
SPEAKER_06 |
transcript.pyannote[82].start |
2205.59346875 |
transcript.pyannote[82].end |
2207.38221875 |
transcript.pyannote[83].speaker |
SPEAKER_06 |
transcript.pyannote[83].start |
2207.44971875 |
transcript.pyannote[83].end |
2225.28659375 |
transcript.pyannote[84].speaker |
SPEAKER_06 |
transcript.pyannote[84].start |
2225.42159375 |
transcript.pyannote[84].end |
2242.29659375 |
transcript.pyannote[85].speaker |
SPEAKER_06 |
transcript.pyannote[85].start |
2242.92096875 |
transcript.pyannote[85].end |
2249.63721875 |
transcript.pyannote[86].speaker |
SPEAKER_06 |
transcript.pyannote[86].start |
2250.31221875 |
transcript.pyannote[86].end |
2274.71346875 |
transcript.pyannote[87].speaker |
SPEAKER_06 |
transcript.pyannote[87].start |
2275.27034375 |
transcript.pyannote[87].end |
2310.77534375 |
transcript.pyannote[88].speaker |
SPEAKER_06 |
transcript.pyannote[88].start |
2311.07909375 |
transcript.pyannote[88].end |
2317.64346875 |
transcript.pyannote[89].speaker |
SPEAKER_06 |
transcript.pyannote[89].start |
2317.81221875 |
transcript.pyannote[89].end |
2318.38596875 |
transcript.pyannote[90].speaker |
SPEAKER_06 |
transcript.pyannote[90].start |
2319.63471875 |
transcript.pyannote[90].end |
2345.26784375 |
transcript.pyannote[91].speaker |
SPEAKER_06 |
transcript.pyannote[91].start |
2345.70659375 |
transcript.pyannote[91].end |
2346.71909375 |
transcript.pyannote[92].speaker |
SPEAKER_06 |
transcript.pyannote[92].start |
2347.10721875 |
transcript.pyannote[92].end |
2353.04721875 |
transcript.pyannote[93].speaker |
SPEAKER_17 |
transcript.pyannote[93].start |
2361.97409375 |
transcript.pyannote[93].end |
2365.65284375 |
transcript.pyannote[94].speaker |
SPEAKER_17 |
transcript.pyannote[94].start |
2366.66534375 |
transcript.pyannote[94].end |
2378.02221875 |
transcript.pyannote[95].speaker |
SPEAKER_17 |
transcript.pyannote[95].start |
2378.69721875 |
transcript.pyannote[95].end |
2379.33846875 |
transcript.pyannote[96].speaker |
SPEAKER_17 |
transcript.pyannote[96].start |
2379.91221875 |
transcript.pyannote[96].end |
2392.33221875 |
transcript.pyannote[97].speaker |
SPEAKER_17 |
transcript.pyannote[97].start |
2393.05784375 |
transcript.pyannote[97].end |
2410.33784375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
2399.11596875 |
transcript.pyannote[98].end |
2399.18346875 |
transcript.pyannote[99].speaker |
SPEAKER_17 |
transcript.pyannote[99].start |
2410.97909375 |
transcript.pyannote[99].end |
2424.81659375 |
transcript.pyannote[100].speaker |
SPEAKER_17 |
transcript.pyannote[100].start |
2425.42409375 |
transcript.pyannote[100].end |
2426.35221875 |
transcript.pyannote[101].speaker |
SPEAKER_17 |
transcript.pyannote[101].start |
2426.84159375 |
transcript.pyannote[101].end |
2433.45659375 |
transcript.pyannote[102].speaker |
SPEAKER_17 |
transcript.pyannote[102].start |
2434.38471875 |
transcript.pyannote[102].end |
2436.67971875 |
transcript.pyannote[103].speaker |
SPEAKER_17 |
transcript.pyannote[103].start |
2439.16034375 |
transcript.pyannote[103].end |
2448.27284375 |
transcript.pyannote[104].speaker |
SPEAKER_11 |
transcript.pyannote[104].start |
2461.31721875 |
transcript.pyannote[104].end |
2461.73909375 |
transcript.pyannote[105].speaker |
SPEAKER_11 |
transcript.pyannote[105].start |
2462.43096875 |
transcript.pyannote[105].end |
2463.25784375 |
transcript.pyannote[106].speaker |
SPEAKER_11 |
transcript.pyannote[106].start |
2464.82721875 |
transcript.pyannote[106].end |
2468.42159375 |
transcript.pyannote[107].speaker |
SPEAKER_11 |
transcript.pyannote[107].start |
2469.33284375 |
transcript.pyannote[107].end |
2472.43784375 |
transcript.pyannote[108].speaker |
SPEAKER_11 |
transcript.pyannote[108].start |
2472.84284375 |
transcript.pyannote[108].end |
2475.15471875 |
transcript.pyannote[109].speaker |
SPEAKER_11 |
transcript.pyannote[109].start |
2475.57659375 |
transcript.pyannote[109].end |
2478.14159375 |
transcript.pyannote[110].speaker |
SPEAKER_11 |
transcript.pyannote[110].start |
2479.35659375 |
transcript.pyannote[110].end |
2482.22534375 |
transcript.pyannote[111].speaker |
SPEAKER_11 |
transcript.pyannote[111].start |
2483.38971875 |
transcript.pyannote[111].end |
2488.38471875 |
transcript.pyannote[112].speaker |
SPEAKER_11 |
transcript.pyannote[112].start |
2489.95409375 |
transcript.pyannote[112].end |
2502.50909375 |
transcript.pyannote[113].speaker |
SPEAKER_11 |
transcript.pyannote[113].start |
2505.31034375 |
transcript.pyannote[113].end |
2507.47034375 |
transcript.pyannote[114].speaker |
SPEAKER_11 |
transcript.pyannote[114].start |
2508.75284375 |
transcript.pyannote[114].end |
2511.99284375 |
transcript.pyannote[115].speaker |
SPEAKER_11 |
transcript.pyannote[115].start |
2513.32596875 |
transcript.pyannote[115].end |
2525.66159375 |
transcript.pyannote[116].speaker |
SPEAKER_11 |
transcript.pyannote[116].start |
2525.99909375 |
transcript.pyannote[116].end |
2531.85471875 |
transcript.pyannote[117].speaker |
SPEAKER_11 |
transcript.pyannote[117].start |
2532.05721875 |
transcript.pyannote[117].end |
2544.17346875 |
transcript.pyannote[118].speaker |
SPEAKER_11 |
transcript.pyannote[118].start |
2544.59534375 |
transcript.pyannote[118].end |
2552.00346875 |
transcript.pyannote[119].speaker |
SPEAKER_11 |
transcript.pyannote[119].start |
2552.83034375 |
transcript.pyannote[119].end |
2554.53471875 |
transcript.pyannote[120].speaker |
SPEAKER_11 |
transcript.pyannote[120].start |
2555.02409375 |
transcript.pyannote[120].end |
2556.30659375 |
transcript.pyannote[121].speaker |
SPEAKER_11 |
transcript.pyannote[121].start |
2556.88034375 |
transcript.pyannote[121].end |
2559.07409375 |
transcript.pyannote[122].speaker |
SPEAKER_11 |
transcript.pyannote[122].start |
2559.27659375 |
transcript.pyannote[122].end |
2560.22159375 |
transcript.pyannote[123].speaker |
SPEAKER_11 |
transcript.pyannote[123].start |
2561.47034375 |
transcript.pyannote[123].end |
2564.42346875 |
transcript.pyannote[124].speaker |
SPEAKER_11 |
transcript.pyannote[124].start |
2564.96346875 |
transcript.pyannote[124].end |
2566.78596875 |
transcript.pyannote[125].speaker |
SPEAKER_11 |
transcript.pyannote[125].start |
2567.46096875 |
transcript.pyannote[125].end |
2568.92909375 |
transcript.pyannote[126].speaker |
SPEAKER_11 |
transcript.pyannote[126].start |
2569.06409375 |
transcript.pyannote[126].end |
2570.70096875 |
transcript.pyannote[127].speaker |
SPEAKER_11 |
transcript.pyannote[127].start |
2571.29159375 |
transcript.pyannote[127].end |
2572.10159375 |
transcript.pyannote[128].speaker |
SPEAKER_11 |
transcript.pyannote[128].start |
2572.42221875 |
transcript.pyannote[128].end |
2573.60346875 |
transcript.pyannote[129].speaker |
SPEAKER_11 |
transcript.pyannote[129].start |
2573.87346875 |
transcript.pyannote[129].end |
2576.82659375 |
transcript.pyannote[130].speaker |
SPEAKER_11 |
transcript.pyannote[130].start |
2577.29909375 |
transcript.pyannote[130].end |
2579.20596875 |
transcript.pyannote[131].speaker |
SPEAKER_11 |
transcript.pyannote[131].start |
2580.25221875 |
transcript.pyannote[131].end |
2582.41221875 |
transcript.pyannote[132].speaker |
SPEAKER_11 |
transcript.pyannote[132].start |
2582.91846875 |
transcript.pyannote[132].end |
2584.87596875 |
transcript.pyannote[133].speaker |
SPEAKER_11 |
transcript.pyannote[133].start |
2585.19659375 |
transcript.pyannote[133].end |
2600.73846875 |
transcript.pyannote[134].speaker |
SPEAKER_11 |
transcript.pyannote[134].start |
2601.37971875 |
transcript.pyannote[134].end |
2603.70846875 |
transcript.pyannote[135].speaker |
SPEAKER_11 |
transcript.pyannote[135].start |
2603.87721875 |
transcript.pyannote[135].end |
2605.96971875 |
transcript.pyannote[136].speaker |
SPEAKER_11 |
transcript.pyannote[136].start |
2606.37471875 |
transcript.pyannote[136].end |
2608.83846875 |
transcript.pyannote[137].speaker |
SPEAKER_11 |
transcript.pyannote[137].start |
2609.12534375 |
transcript.pyannote[137].end |
2614.03596875 |
transcript.pyannote[138].speaker |
SPEAKER_11 |
transcript.pyannote[138].start |
2614.69409375 |
transcript.pyannote[138].end |
2615.06534375 |
transcript.pyannote[139].speaker |
SPEAKER_11 |
transcript.pyannote[139].start |
2615.72346875 |
transcript.pyannote[139].end |
2618.08596875 |
transcript.pyannote[140].speaker |
SPEAKER_11 |
transcript.pyannote[140].start |
2618.55846875 |
transcript.pyannote[140].end |
2620.29659375 |
transcript.pyannote[141].speaker |
SPEAKER_11 |
transcript.pyannote[141].start |
2620.38096875 |
transcript.pyannote[141].end |
2628.05909375 |
transcript.pyannote[142].speaker |
SPEAKER_11 |
transcript.pyannote[142].start |
2628.63284375 |
transcript.pyannote[142].end |
2633.77971875 |
transcript.pyannote[143].speaker |
SPEAKER_11 |
transcript.pyannote[143].start |
2634.16784375 |
transcript.pyannote[143].end |
2637.61034375 |
transcript.pyannote[144].speaker |
SPEAKER_11 |
transcript.pyannote[144].start |
2638.11659375 |
transcript.pyannote[144].end |
2640.52971875 |
transcript.pyannote[145].speaker |
SPEAKER_11 |
transcript.pyannote[145].start |
2640.64784375 |
transcript.pyannote[145].end |
2643.80346875 |
transcript.pyannote[146].speaker |
SPEAKER_11 |
transcript.pyannote[146].start |
2644.14096875 |
transcript.pyannote[146].end |
2647.22909375 |
transcript.pyannote[147].speaker |
SPEAKER_11 |
transcript.pyannote[147].start |
2647.56659375 |
transcript.pyannote[147].end |
2652.30846875 |
transcript.pyannote[148].speaker |
SPEAKER_11 |
transcript.pyannote[148].start |
2652.83159375 |
transcript.pyannote[148].end |
2653.64159375 |
transcript.pyannote[149].speaker |
SPEAKER_11 |
transcript.pyannote[149].start |
2654.11409375 |
transcript.pyannote[149].end |
2659.86846875 |
transcript.pyannote[150].speaker |
SPEAKER_11 |
transcript.pyannote[150].start |
2660.37471875 |
transcript.pyannote[150].end |
2661.67409375 |
transcript.pyannote[151].speaker |
SPEAKER_11 |
transcript.pyannote[151].start |
2662.18034375 |
transcript.pyannote[151].end |
2663.39534375 |
transcript.pyannote[152].speaker |
SPEAKER_11 |
transcript.pyannote[152].start |
2665.30221875 |
transcript.pyannote[152].end |
2676.59159375 |
transcript.pyannote[153].speaker |
SPEAKER_11 |
transcript.pyannote[153].start |
2677.36784375 |
transcript.pyannote[153].end |
2680.28721875 |
transcript.pyannote[154].speaker |
SPEAKER_11 |
transcript.pyannote[154].start |
2680.75971875 |
transcript.pyannote[154].end |
2688.20159375 |
transcript.pyannote[155].speaker |
SPEAKER_11 |
transcript.pyannote[155].start |
2689.01159375 |
transcript.pyannote[155].end |
2691.61034375 |
transcript.pyannote[156].speaker |
SPEAKER_11 |
transcript.pyannote[156].start |
2692.52159375 |
transcript.pyannote[156].end |
2696.26784375 |
transcript.pyannote[157].speaker |
SPEAKER_11 |
transcript.pyannote[157].start |
2696.55471875 |
transcript.pyannote[157].end |
2703.06846875 |
transcript.pyannote[158].speaker |
SPEAKER_11 |
transcript.pyannote[158].start |
2703.59159375 |
transcript.pyannote[158].end |
2704.68846875 |
transcript.pyannote[159].speaker |
SPEAKER_11 |
transcript.pyannote[159].start |
2704.82346875 |
transcript.pyannote[159].end |
2708.58659375 |
transcript.pyannote[160].speaker |
SPEAKER_11 |
transcript.pyannote[160].start |
2708.97471875 |
transcript.pyannote[160].end |
2720.38221875 |
transcript.pyannote[161].speaker |
SPEAKER_11 |
transcript.pyannote[161].start |
2720.88846875 |
transcript.pyannote[161].end |
2726.50784375 |
transcript.pyannote[162].speaker |
SPEAKER_11 |
transcript.pyannote[162].start |
2727.14909375 |
transcript.pyannote[162].end |
2739.19784375 |
transcript.pyannote[163].speaker |
SPEAKER_11 |
transcript.pyannote[163].start |
2740.68284375 |
transcript.pyannote[163].end |
2743.51784375 |
transcript.pyannote[164].speaker |
SPEAKER_11 |
transcript.pyannote[164].start |
2743.90596875 |
transcript.pyannote[164].end |
2754.09846875 |
transcript.pyannote[165].speaker |
SPEAKER_11 |
transcript.pyannote[165].start |
2754.58784375 |
transcript.pyannote[165].end |
2757.10221875 |
transcript.pyannote[166].speaker |
SPEAKER_11 |
transcript.pyannote[166].start |
2757.49034375 |
transcript.pyannote[166].end |
2759.17784375 |
transcript.pyannote[167].speaker |
SPEAKER_11 |
transcript.pyannote[167].start |
2759.48159375 |
transcript.pyannote[167].end |
2761.30409375 |
transcript.pyannote[168].speaker |
SPEAKER_11 |
transcript.pyannote[168].start |
2761.64159375 |
transcript.pyannote[168].end |
2764.88159375 |
transcript.pyannote[169].speaker |
SPEAKER_11 |
transcript.pyannote[169].start |
2765.35409375 |
transcript.pyannote[169].end |
2767.54784375 |
transcript.pyannote[170].speaker |
SPEAKER_11 |
transcript.pyannote[170].start |
2768.52659375 |
transcript.pyannote[170].end |
2777.38596875 |
transcript.pyannote[171].speaker |
SPEAKER_11 |
transcript.pyannote[171].start |
2777.68971875 |
transcript.pyannote[171].end |
2781.48659375 |
transcript.pyannote[172].speaker |
SPEAKER_11 |
transcript.pyannote[172].start |
2781.89159375 |
transcript.pyannote[172].end |
2790.54846875 |
transcript.pyannote[173].speaker |
SPEAKER_11 |
transcript.pyannote[173].start |
2791.07159375 |
transcript.pyannote[173].end |
2799.39096875 |
transcript.pyannote[174].speaker |
SPEAKER_11 |
transcript.pyannote[174].start |
2799.72846875 |
transcript.pyannote[174].end |
2802.49596875 |
transcript.pyannote[175].speaker |
SPEAKER_11 |
transcript.pyannote[175].start |
2802.91784375 |
transcript.pyannote[175].end |
2810.15721875 |
transcript.pyannote[176].speaker |
SPEAKER_11 |
transcript.pyannote[176].start |
2810.57909375 |
transcript.pyannote[176].end |
2815.50659375 |
transcript.pyannote[177].speaker |
SPEAKER_11 |
transcript.pyannote[177].start |
2816.21534375 |
transcript.pyannote[177].end |
2818.93221875 |
transcript.pyannote[178].speaker |
SPEAKER_11 |
transcript.pyannote[178].start |
2819.37096875 |
transcript.pyannote[178].end |
2823.57284375 |
transcript.pyannote[179].speaker |
SPEAKER_11 |
transcript.pyannote[179].start |
2823.97784375 |
transcript.pyannote[179].end |
2828.71971875 |
transcript.pyannote[180].speaker |
SPEAKER_11 |
transcript.pyannote[180].start |
2829.04034375 |
transcript.pyannote[180].end |
2831.09909375 |
transcript.pyannote[181].speaker |
SPEAKER_11 |
transcript.pyannote[181].start |
2832.09471875 |
transcript.pyannote[181].end |
2836.48221875 |
transcript.pyannote[182].speaker |
SPEAKER_11 |
transcript.pyannote[182].start |
2836.95471875 |
transcript.pyannote[182].end |
2837.56221875 |
transcript.pyannote[183].speaker |
SPEAKER_11 |
transcript.pyannote[183].start |
2837.76471875 |
transcript.pyannote[183].end |
2843.92409375 |
transcript.pyannote[184].speaker |
SPEAKER_11 |
transcript.pyannote[184].start |
2844.46409375 |
transcript.pyannote[184].end |
2850.60659375 |
transcript.pyannote[185].speaker |
SPEAKER_11 |
transcript.pyannote[185].start |
2850.97784375 |
transcript.pyannote[185].end |
2853.39096875 |
transcript.pyannote[186].speaker |
SPEAKER_11 |
transcript.pyannote[186].start |
2853.42471875 |
transcript.pyannote[186].end |
2858.95971875 |
transcript.pyannote[187].speaker |
SPEAKER_11 |
transcript.pyannote[187].start |
2859.51659375 |
transcript.pyannote[187].end |
2862.53721875 |
transcript.pyannote[188].speaker |
SPEAKER_11 |
transcript.pyannote[188].start |
2862.97596875 |
transcript.pyannote[188].end |
2866.28346875 |
transcript.pyannote[189].speaker |
SPEAKER_11 |
transcript.pyannote[189].start |
2866.55346875 |
transcript.pyannote[189].end |
2883.56346875 |
transcript.pyannote[190].speaker |
SPEAKER_11 |
transcript.pyannote[190].start |
2883.59721875 |
transcript.pyannote[190].end |
2892.20346875 |
transcript.pyannote[191].speaker |
SPEAKER_11 |
transcript.pyannote[191].start |
2893.41846875 |
transcript.pyannote[191].end |
2898.63284375 |
transcript.pyannote[192].speaker |
SPEAKER_11 |
transcript.pyannote[192].start |
2899.35846875 |
transcript.pyannote[192].end |
2903.27346875 |
transcript.pyannote[193].speaker |
SPEAKER_11 |
transcript.pyannote[193].start |
2903.83034375 |
transcript.pyannote[193].end |
2907.15471875 |
transcript.pyannote[194].speaker |
SPEAKER_11 |
transcript.pyannote[194].start |
2907.47534375 |
transcript.pyannote[194].end |
2912.08221875 |
transcript.pyannote[195].speaker |
SPEAKER_11 |
transcript.pyannote[195].start |
2912.53784375 |
transcript.pyannote[195].end |
2913.76971875 |
transcript.pyannote[196].speaker |
SPEAKER_11 |
transcript.pyannote[196].start |
2914.39409375 |
transcript.pyannote[196].end |
2920.14846875 |
transcript.pyannote[197].speaker |
SPEAKER_11 |
transcript.pyannote[197].start |
2920.67159375 |
transcript.pyannote[197].end |
2921.81909375 |
transcript.pyannote[198].speaker |
SPEAKER_11 |
transcript.pyannote[198].start |
2922.35909375 |
transcript.pyannote[198].end |
2929.19346875 |
transcript.pyannote[199].speaker |
SPEAKER_11 |
transcript.pyannote[199].start |
2929.66596875 |
transcript.pyannote[199].end |
2930.74596875 |
transcript.pyannote[200].speaker |
SPEAKER_11 |
transcript.pyannote[200].start |
2931.21846875 |
transcript.pyannote[200].end |
2933.37846875 |
transcript.pyannote[201].speaker |
SPEAKER_11 |
transcript.pyannote[201].start |
2933.53034375 |
transcript.pyannote[201].end |
2938.98096875 |
transcript.pyannote[202].speaker |
SPEAKER_11 |
transcript.pyannote[202].start |
2939.35221875 |
transcript.pyannote[202].end |
2943.43596875 |
transcript.pyannote[203].speaker |
SPEAKER_11 |
transcript.pyannote[203].start |
2944.61721875 |
transcript.pyannote[203].end |
2956.90221875 |
transcript.pyannote[204].speaker |
SPEAKER_11 |
transcript.pyannote[204].start |
2957.50971875 |
transcript.pyannote[204].end |
2962.58909375 |
transcript.pyannote[205].speaker |
SPEAKER_11 |
transcript.pyannote[205].start |
2962.74096875 |
transcript.pyannote[205].end |
2964.49596875 |
transcript.pyannote[206].speaker |
SPEAKER_11 |
transcript.pyannote[206].start |
2965.12034375 |
transcript.pyannote[206].end |
2975.51534375 |
transcript.pyannote[207].speaker |
SPEAKER_11 |
transcript.pyannote[207].start |
2977.43909375 |
transcript.pyannote[207].end |
2978.40096875 |
transcript.pyannote[208].speaker |
SPEAKER_11 |
transcript.pyannote[208].start |
2979.66659375 |
transcript.pyannote[208].end |
2984.05409375 |
transcript.pyannote[209].speaker |
SPEAKER_11 |
transcript.pyannote[209].start |
2984.81346875 |
transcript.pyannote[209].end |
2985.75846875 |
transcript.pyannote[210].speaker |
SPEAKER_11 |
transcript.pyannote[210].start |
2986.36596875 |
transcript.pyannote[210].end |
2994.04409375 |
transcript.pyannote[211].speaker |
SPEAKER_11 |
transcript.pyannote[211].start |
2994.14534375 |
transcript.pyannote[211].end |
2999.07284375 |
transcript.pyannote[212].speaker |
SPEAKER_11 |
transcript.pyannote[212].start |
2999.81534375 |
transcript.pyannote[212].end |
3005.16471875 |
transcript.pyannote[213].speaker |
SPEAKER_11 |
transcript.pyannote[213].start |
3006.32909375 |
transcript.pyannote[213].end |
3007.37534375 |
transcript.pyannote[214].speaker |
SPEAKER_11 |
transcript.pyannote[214].start |
3008.38784375 |
transcript.pyannote[214].end |
3016.67346875 |
transcript.pyannote[215].speaker |
SPEAKER_11 |
transcript.pyannote[215].start |
3016.97721875 |
transcript.pyannote[215].end |
3022.74846875 |
transcript.pyannote[216].speaker |
SPEAKER_11 |
transcript.pyannote[216].start |
3023.67659375 |
transcript.pyannote[216].end |
3034.00409375 |
transcript.pyannote[217].speaker |
SPEAKER_11 |
transcript.pyannote[217].start |
3034.25721875 |
transcript.pyannote[217].end |
3034.86471875 |
transcript.pyannote[218].speaker |
SPEAKER_11 |
transcript.pyannote[218].start |
3034.96596875 |
transcript.pyannote[218].end |
3035.91096875 |
transcript.pyannote[219].speaker |
SPEAKER_11 |
transcript.pyannote[219].start |
3036.13034375 |
transcript.pyannote[219].end |
3039.30284375 |
transcript.pyannote[220].speaker |
SPEAKER_11 |
transcript.pyannote[220].start |
3039.99471875 |
transcript.pyannote[220].end |
3040.83846875 |
transcript.pyannote[221].speaker |
SPEAKER_11 |
transcript.pyannote[221].start |
3040.97346875 |
transcript.pyannote[221].end |
3044.83784375 |
transcript.pyannote[222].speaker |
SPEAKER_11 |
transcript.pyannote[222].start |
3045.14159375 |
transcript.pyannote[222].end |
3054.72659375 |
transcript.pyannote[223].speaker |
SPEAKER_11 |
transcript.pyannote[223].start |
3055.77284375 |
transcript.pyannote[223].end |
3068.09159375 |
transcript.pyannote[224].speaker |
SPEAKER_11 |
transcript.pyannote[224].start |
3068.53034375 |
transcript.pyannote[224].end |
3073.22159375 |
transcript.pyannote[225].speaker |
SPEAKER_11 |
transcript.pyannote[225].start |
3073.45784375 |
transcript.pyannote[225].end |
3075.26346875 |
transcript.pyannote[226].speaker |
SPEAKER_11 |
transcript.pyannote[226].start |
3075.80346875 |
transcript.pyannote[226].end |
3079.58346875 |
transcript.pyannote[227].speaker |
SPEAKER_11 |
transcript.pyannote[227].start |
3080.14034375 |
transcript.pyannote[227].end |
3082.43534375 |
transcript.pyannote[228].speaker |
SPEAKER_11 |
transcript.pyannote[228].start |
3082.72221875 |
transcript.pyannote[228].end |
3092.77971875 |
transcript.pyannote[229].speaker |
SPEAKER_11 |
transcript.pyannote[229].start |
3094.45034375 |
transcript.pyannote[229].end |
3095.26034375 |
transcript.pyannote[230].speaker |
SPEAKER_11 |
transcript.pyannote[230].start |
3095.46284375 |
transcript.pyannote[230].end |
3100.71096875 |
transcript.pyannote[231].speaker |
SPEAKER_11 |
transcript.pyannote[231].start |
3101.68971875 |
transcript.pyannote[231].end |
3106.43159375 |
transcript.pyannote[232].speaker |
SPEAKER_11 |
transcript.pyannote[232].start |
3107.03909375 |
transcript.pyannote[232].end |
3108.00096875 |
transcript.pyannote[233].speaker |
SPEAKER_11 |
transcript.pyannote[233].start |
3108.30471875 |
transcript.pyannote[233].end |
3121.24784375 |
transcript.pyannote[234].speaker |
SPEAKER_11 |
transcript.pyannote[234].start |
3121.92284375 |
transcript.pyannote[234].end |
3126.02346875 |
transcript.pyannote[235].speaker |
SPEAKER_11 |
transcript.pyannote[235].start |
3127.15409375 |
transcript.pyannote[235].end |
3127.89659375 |
transcript.pyannote[236].speaker |
SPEAKER_11 |
transcript.pyannote[236].start |
3128.63909375 |
transcript.pyannote[236].end |
3137.98784375 |
transcript.pyannote[237].speaker |
SPEAKER_11 |
transcript.pyannote[237].start |
3138.49409375 |
transcript.pyannote[237].end |
3141.49784375 |
transcript.pyannote[238].speaker |
SPEAKER_11 |
transcript.pyannote[238].start |
3142.15596875 |
transcript.pyannote[238].end |
3151.87596875 |
transcript.pyannote[239].speaker |
SPEAKER_11 |
transcript.pyannote[239].start |
3152.48346875 |
transcript.pyannote[239].end |
3169.27409375 |
transcript.pyannote[240].speaker |
SPEAKER_11 |
transcript.pyannote[240].start |
3169.61159375 |
transcript.pyannote[240].end |
3173.27346875 |
transcript.pyannote[241].speaker |
SPEAKER_11 |
transcript.pyannote[241].start |
3173.74596875 |
transcript.pyannote[241].end |
3180.69846875 |
transcript.pyannote[242].speaker |
SPEAKER_11 |
transcript.pyannote[242].start |
3181.35659375 |
transcript.pyannote[242].end |
3181.81221875 |
transcript.pyannote[243].speaker |
SPEAKER_11 |
transcript.pyannote[243].start |
3183.14534375 |
transcript.pyannote[243].end |
3184.25909375 |
transcript.pyannote[244].speaker |
SPEAKER_11 |
transcript.pyannote[244].start |
3184.64721875 |
transcript.pyannote[244].end |
3186.84096875 |
transcript.pyannote[245].speaker |
SPEAKER_11 |
transcript.pyannote[245].start |
3187.06034375 |
transcript.pyannote[245].end |
3202.14659375 |
transcript.pyannote[246].speaker |
SPEAKER_11 |
transcript.pyannote[246].start |
3202.41659375 |
transcript.pyannote[246].end |
3211.47846875 |
transcript.pyannote[247].speaker |
SPEAKER_06 |
transcript.pyannote[247].start |
3216.43971875 |
transcript.pyannote[247].end |
3220.03409375 |
transcript.pyannote[248].speaker |
SPEAKER_11 |
transcript.pyannote[248].start |
3225.41721875 |
transcript.pyannote[248].end |
3229.12971875 |
transcript.pyannote[249].speaker |
SPEAKER_11 |
transcript.pyannote[249].start |
3229.82159375 |
transcript.pyannote[249].end |
3234.36096875 |
transcript.pyannote[250].speaker |
SPEAKER_11 |
transcript.pyannote[250].start |
3234.66471875 |
transcript.pyannote[250].end |
3240.13221875 |
transcript.pyannote[251].speaker |
SPEAKER_11 |
transcript.pyannote[251].start |
3240.35159375 |
transcript.pyannote[251].end |
3248.24909375 |
transcript.pyannote[252].speaker |
SPEAKER_11 |
transcript.pyannote[252].start |
3248.60346875 |
transcript.pyannote[252].end |
3257.09159375 |
transcript.pyannote[253].speaker |
SPEAKER_11 |
transcript.pyannote[253].start |
3257.32784375 |
transcript.pyannote[253].end |
3258.37409375 |
transcript.pyannote[254].speaker |
SPEAKER_11 |
transcript.pyannote[254].start |
3258.72846875 |
transcript.pyannote[254].end |
3260.66909375 |
transcript.pyannote[255].speaker |
SPEAKER_11 |
transcript.pyannote[255].start |
3261.00659375 |
transcript.pyannote[255].end |
3263.40284375 |
transcript.pyannote[256].speaker |
SPEAKER_11 |
transcript.pyannote[256].start |
3263.63909375 |
transcript.pyannote[256].end |
3267.35159375 |
transcript.pyannote[257].speaker |
SPEAKER_11 |
transcript.pyannote[257].start |
3268.04346875 |
transcript.pyannote[257].end |
3276.93659375 |
transcript.pyannote[258].speaker |
SPEAKER_11 |
transcript.pyannote[258].start |
3277.56096875 |
transcript.pyannote[258].end |
3289.69409375 |
transcript.pyannote[259].speaker |
SPEAKER_11 |
transcript.pyannote[259].start |
3290.35221875 |
transcript.pyannote[259].end |
3296.56221875 |
transcript.pyannote[260].speaker |
SPEAKER_11 |
transcript.pyannote[260].start |
3297.64221875 |
transcript.pyannote[260].end |
3298.51971875 |
transcript.pyannote[261].speaker |
SPEAKER_11 |
transcript.pyannote[261].start |
3299.65034375 |
transcript.pyannote[261].end |
3300.86534375 |
transcript.pyannote[262].speaker |
SPEAKER_11 |
transcript.pyannote[262].start |
3301.16909375 |
transcript.pyannote[262].end |
3304.79721875 |
transcript.pyannote[263].speaker |
SPEAKER_11 |
transcript.pyannote[263].start |
3305.10096875 |
transcript.pyannote[263].end |
3306.31596875 |
transcript.pyannote[264].speaker |
SPEAKER_11 |
transcript.pyannote[264].start |
3306.58596875 |
transcript.pyannote[264].end |
3308.49284375 |
transcript.pyannote[265].speaker |
SPEAKER_11 |
transcript.pyannote[265].start |
3309.03284375 |
transcript.pyannote[265].end |
3315.66471875 |
transcript.pyannote[266].speaker |
SPEAKER_11 |
transcript.pyannote[266].start |
3315.81659375 |
transcript.pyannote[266].end |
3321.94221875 |
transcript.pyannote[267].speaker |
SPEAKER_11 |
transcript.pyannote[267].start |
3322.76909375 |
transcript.pyannote[267].end |
3323.12346875 |
transcript.pyannote[268].speaker |
SPEAKER_11 |
transcript.pyannote[268].start |
3323.71409375 |
transcript.pyannote[268].end |
3324.35534375 |
transcript.pyannote[269].speaker |
SPEAKER_11 |
transcript.pyannote[269].start |
3324.72659375 |
transcript.pyannote[269].end |
3334.21034375 |
transcript.pyannote[270].speaker |
SPEAKER_11 |
transcript.pyannote[270].start |
3334.49721875 |
transcript.pyannote[270].end |
3338.02409375 |
transcript.pyannote[271].speaker |
SPEAKER_11 |
transcript.pyannote[271].start |
3338.53034375 |
transcript.pyannote[271].end |
3340.26846875 |
transcript.pyannote[272].speaker |
SPEAKER_11 |
transcript.pyannote[272].start |
3341.06159375 |
transcript.pyannote[272].end |
3346.29284375 |
transcript.pyannote[273].speaker |
SPEAKER_11 |
transcript.pyannote[273].start |
3346.74846875 |
transcript.pyannote[273].end |
3351.62534375 |
transcript.pyannote[274].speaker |
SPEAKER_11 |
transcript.pyannote[274].start |
3351.70971875 |
transcript.pyannote[274].end |
3358.86471875 |
transcript.pyannote[275].speaker |
SPEAKER_11 |
transcript.pyannote[275].start |
3359.50596875 |
transcript.pyannote[275].end |
3360.78846875 |
transcript.pyannote[276].speaker |
SPEAKER_11 |
transcript.pyannote[276].start |
3361.27784375 |
transcript.pyannote[276].end |
3368.26409375 |
transcript.pyannote[277].speaker |
SPEAKER_11 |
transcript.pyannote[277].start |
3368.66909375 |
transcript.pyannote[277].end |
3372.29721875 |
transcript.pyannote[278].speaker |
SPEAKER_11 |
transcript.pyannote[278].start |
3373.51221875 |
transcript.pyannote[278].end |
3375.03096875 |
transcript.pyannote[279].speaker |
SPEAKER_11 |
transcript.pyannote[279].start |
3375.57096875 |
transcript.pyannote[279].end |
3384.02534375 |
transcript.pyannote[280].speaker |
SPEAKER_11 |
transcript.pyannote[280].start |
3384.12659375 |
transcript.pyannote[280].end |
3390.03284375 |
transcript.pyannote[281].speaker |
SPEAKER_11 |
transcript.pyannote[281].start |
3390.84284375 |
transcript.pyannote[281].end |
3391.85534375 |
transcript.pyannote[282].speaker |
SPEAKER_11 |
transcript.pyannote[282].start |
3392.34471875 |
transcript.pyannote[282].end |
3393.49221875 |
transcript.pyannote[283].speaker |
SPEAKER_11 |
transcript.pyannote[283].start |
3393.91409375 |
transcript.pyannote[283].end |
3399.90471875 |
transcript.pyannote[284].speaker |
SPEAKER_11 |
transcript.pyannote[284].start |
3400.12409375 |
transcript.pyannote[284].end |
3401.96346875 |
transcript.pyannote[285].speaker |
SPEAKER_11 |
transcript.pyannote[285].start |
3402.30096875 |
transcript.pyannote[285].end |
3404.05596875 |
transcript.pyannote[286].speaker |
SPEAKER_11 |
transcript.pyannote[286].start |
3404.46096875 |
transcript.pyannote[286].end |
3408.03846875 |
transcript.pyannote[287].speaker |
SPEAKER_11 |
transcript.pyannote[287].start |
3409.70909375 |
transcript.pyannote[287].end |
3416.76284375 |
transcript.pyannote[288].speaker |
SPEAKER_11 |
transcript.pyannote[288].start |
3418.58534375 |
transcript.pyannote[288].end |
3428.23784375 |
transcript.pyannote[289].speaker |
SPEAKER_11 |
transcript.pyannote[289].start |
3428.91284375 |
transcript.pyannote[289].end |
3434.00909375 |
transcript.pyannote[290].speaker |
SPEAKER_11 |
transcript.pyannote[290].start |
3434.32971875 |
transcript.pyannote[290].end |
3437.68784375 |
transcript.pyannote[291].speaker |
SPEAKER_11 |
transcript.pyannote[291].start |
3438.61596875 |
transcript.pyannote[291].end |
3446.51346875 |
transcript.pyannote[292].speaker |
SPEAKER_11 |
transcript.pyannote[292].start |
3446.96909375 |
transcript.pyannote[292].end |
3449.90534375 |
transcript.pyannote[293].speaker |
SPEAKER_11 |
transcript.pyannote[293].start |
3450.90096875 |
transcript.pyannote[293].end |
3468.48471875 |
transcript.pyannote[294].speaker |
SPEAKER_11 |
transcript.pyannote[294].start |
3469.05846875 |
transcript.pyannote[294].end |
3470.35784375 |
transcript.pyannote[295].speaker |
SPEAKER_11 |
transcript.pyannote[295].start |
3470.86409375 |
transcript.pyannote[295].end |
3471.99471875 |
transcript.pyannote[296].speaker |
SPEAKER_11 |
transcript.pyannote[296].start |
3472.63596875 |
transcript.pyannote[296].end |
3474.12096875 |
transcript.pyannote[297].speaker |
SPEAKER_11 |
transcript.pyannote[297].start |
3474.28971875 |
transcript.pyannote[297].end |
3478.55909375 |
transcript.pyannote[298].speaker |
SPEAKER_11 |
transcript.pyannote[298].start |
3479.03159375 |
transcript.pyannote[298].end |
3482.94659375 |
transcript.pyannote[299].speaker |
SPEAKER_11 |
transcript.pyannote[299].start |
3483.28409375 |
transcript.pyannote[299].end |
3486.69284375 |
transcript.pyannote[300].speaker |
SPEAKER_11 |
transcript.pyannote[300].start |
3487.13159375 |
transcript.pyannote[300].end |
3487.50284375 |
transcript.pyannote[301].speaker |
SPEAKER_11 |
transcript.pyannote[301].start |
3488.19471875 |
transcript.pyannote[301].end |
3490.52346875 |
transcript.pyannote[302].speaker |
SPEAKER_11 |
transcript.pyannote[302].start |
3490.96221875 |
transcript.pyannote[302].end |
3497.66159375 |
transcript.pyannote[303].speaker |
SPEAKER_11 |
transcript.pyannote[303].start |
3497.88096875 |
transcript.pyannote[303].end |
3502.20096875 |
transcript.pyannote[304].speaker |
SPEAKER_11 |
transcript.pyannote[304].start |
3502.57221875 |
transcript.pyannote[304].end |
3503.43284375 |
transcript.pyannote[305].speaker |
SPEAKER_11 |
transcript.pyannote[305].start |
3504.02346875 |
transcript.pyannote[305].end |
3505.01909375 |
transcript.pyannote[306].speaker |
SPEAKER_11 |
transcript.pyannote[306].start |
3505.37346875 |
transcript.pyannote[306].end |
3519.97034375 |
transcript.pyannote[307].speaker |
SPEAKER_11 |
transcript.pyannote[307].start |
3520.96596875 |
transcript.pyannote[307].end |
3542.24534375 |
transcript.pyannote[308].speaker |
SPEAKER_11 |
transcript.pyannote[308].start |
3543.66284375 |
transcript.pyannote[308].end |
3545.21534375 |
transcript.pyannote[309].speaker |
SPEAKER_11 |
transcript.pyannote[309].start |
3545.36721875 |
transcript.pyannote[309].end |
3547.93221875 |
transcript.pyannote[310].speaker |
SPEAKER_11 |
transcript.pyannote[310].start |
3548.06721875 |
transcript.pyannote[310].end |
3549.33284375 |
transcript.pyannote[311].speaker |
SPEAKER_11 |
transcript.pyannote[311].start |
3549.90659375 |
transcript.pyannote[311].end |
3556.43721875 |
transcript.pyannote[312].speaker |
SPEAKER_11 |
transcript.pyannote[312].start |
3559.28909375 |
transcript.pyannote[312].end |
3568.97534375 |
transcript.pyannote[313].speaker |
SPEAKER_11 |
transcript.pyannote[313].start |
3569.65034375 |
transcript.pyannote[313].end |
3578.77971875 |
transcript.pyannote[314].speaker |
SPEAKER_11 |
transcript.pyannote[314].start |
3579.85971875 |
transcript.pyannote[314].end |
3587.28471875 |
transcript.pyannote[315].speaker |
SPEAKER_11 |
transcript.pyannote[315].start |
3588.22971875 |
transcript.pyannote[315].end |
3588.66846875 |
transcript.pyannote[316].speaker |
SPEAKER_11 |
transcript.pyannote[316].start |
3589.41096875 |
transcript.pyannote[316].end |
3590.79471875 |
transcript.pyannote[317].speaker |
SPEAKER_11 |
transcript.pyannote[317].start |
3591.48659375 |
transcript.pyannote[317].end |
3601.83096875 |
transcript.pyannote[318].speaker |
SPEAKER_11 |
transcript.pyannote[318].start |
3602.01659375 |
transcript.pyannote[318].end |
3604.49721875 |
transcript.pyannote[319].speaker |
SPEAKER_11 |
transcript.pyannote[319].start |
3605.30721875 |
transcript.pyannote[319].end |
3611.95596875 |
transcript.pyannote[320].speaker |
SPEAKER_11 |
transcript.pyannote[320].start |
3612.19221875 |
transcript.pyannote[320].end |
3616.71471875 |
transcript.pyannote[321].speaker |
SPEAKER_18 |
transcript.pyannote[321].start |
3623.54909375 |
transcript.pyannote[321].end |
3630.40034375 |
transcript.pyannote[322].speaker |
SPEAKER_18 |
transcript.pyannote[322].start |
3630.68721875 |
transcript.pyannote[322].end |
3639.37784375 |
transcript.pyannote[323].speaker |
SPEAKER_18 |
transcript.pyannote[323].start |
3639.44534375 |
transcript.pyannote[323].end |
3641.85846875 |
transcript.pyannote[324].speaker |
SPEAKER_18 |
transcript.pyannote[324].start |
3642.29721875 |
transcript.pyannote[324].end |
3646.90409375 |
transcript.pyannote[325].speaker |
SPEAKER_18 |
transcript.pyannote[325].start |
3647.17409375 |
transcript.pyannote[325].end |
3652.84409375 |
transcript.pyannote[326].speaker |
SPEAKER_18 |
transcript.pyannote[326].start |
3653.06346875 |
transcript.pyannote[326].end |
3658.26096875 |
transcript.pyannote[327].speaker |
SPEAKER_18 |
transcript.pyannote[327].start |
3658.75034375 |
transcript.pyannote[327].end |
3663.71159375 |
transcript.pyannote[328].speaker |
SPEAKER_18 |
transcript.pyannote[328].start |
3664.13346875 |
transcript.pyannote[328].end |
3667.64346875 |
transcript.pyannote[329].speaker |
SPEAKER_18 |
transcript.pyannote[329].start |
3668.03159375 |
transcript.pyannote[329].end |
3672.46971875 |
transcript.pyannote[330].speaker |
SPEAKER_18 |
transcript.pyannote[330].start |
3672.67221875 |
transcript.pyannote[330].end |
3674.25846875 |
transcript.pyannote[331].speaker |
SPEAKER_18 |
transcript.pyannote[331].start |
3674.71409375 |
transcript.pyannote[331].end |
3676.33409375 |
transcript.pyannote[332].speaker |
SPEAKER_18 |
transcript.pyannote[332].start |
3676.77284375 |
transcript.pyannote[332].end |
3679.25346875 |
transcript.pyannote[333].speaker |
SPEAKER_18 |
transcript.pyannote[333].start |
3679.59096875 |
transcript.pyannote[333].end |
3684.55221875 |
transcript.pyannote[334].speaker |
SPEAKER_18 |
transcript.pyannote[334].start |
3685.56471875 |
transcript.pyannote[334].end |
3688.09596875 |
transcript.pyannote[335].speaker |
SPEAKER_18 |
transcript.pyannote[335].start |
3688.36596875 |
transcript.pyannote[335].end |
3692.33159375 |
transcript.pyannote[336].speaker |
SPEAKER_18 |
transcript.pyannote[336].start |
3692.66909375 |
transcript.pyannote[336].end |
3695.28471875 |
transcript.pyannote[337].speaker |
SPEAKER_18 |
transcript.pyannote[337].start |
3695.60534375 |
transcript.pyannote[337].end |
3698.35596875 |
transcript.pyannote[338].speaker |
SPEAKER_18 |
transcript.pyannote[338].start |
3698.79471875 |
transcript.pyannote[338].end |
3705.91596875 |
transcript.pyannote[339].speaker |
SPEAKER_18 |
transcript.pyannote[339].start |
3706.16909375 |
transcript.pyannote[339].end |
3709.67909375 |
transcript.pyannote[340].speaker |
SPEAKER_18 |
transcript.pyannote[340].start |
3711.99096875 |
transcript.pyannote[340].end |
3712.31159375 |
transcript.pyannote[341].speaker |
SPEAKER_18 |
transcript.pyannote[341].start |
3712.59846875 |
transcript.pyannote[341].end |
3714.03284375 |
transcript.pyannote[342].speaker |
SPEAKER_18 |
transcript.pyannote[342].start |
3714.37034375 |
transcript.pyannote[342].end |
3715.60221875 |
transcript.pyannote[343].speaker |
SPEAKER_18 |
transcript.pyannote[343].start |
3716.04096875 |
transcript.pyannote[343].end |
3719.24721875 |
transcript.pyannote[344].speaker |
SPEAKER_18 |
transcript.pyannote[344].start |
3719.58471875 |
transcript.pyannote[344].end |
3723.60096875 |
transcript.pyannote[345].speaker |
SPEAKER_18 |
transcript.pyannote[345].start |
3723.87096875 |
transcript.pyannote[345].end |
3727.93784375 |
transcript.pyannote[346].speaker |
SPEAKER_18 |
transcript.pyannote[346].start |
3728.35971875 |
transcript.pyannote[346].end |
3728.64659375 |
transcript.pyannote[347].speaker |
SPEAKER_18 |
transcript.pyannote[347].start |
3728.95034375 |
transcript.pyannote[347].end |
3730.67159375 |
transcript.pyannote[348].speaker |
SPEAKER_18 |
transcript.pyannote[348].start |
3730.95846875 |
transcript.pyannote[348].end |
3734.16471875 |
transcript.pyannote[349].speaker |
SPEAKER_18 |
transcript.pyannote[349].start |
3734.51909375 |
transcript.pyannote[349].end |
3738.43409375 |
transcript.pyannote[350].speaker |
SPEAKER_18 |
transcript.pyannote[350].start |
3738.90659375 |
transcript.pyannote[350].end |
3743.14221875 |
transcript.pyannote[351].speaker |
SPEAKER_18 |
transcript.pyannote[351].start |
3743.58096875 |
transcript.pyannote[351].end |
3746.04471875 |
transcript.pyannote[352].speaker |
SPEAKER_18 |
transcript.pyannote[352].start |
3746.46659375 |
transcript.pyannote[352].end |
3748.08659375 |
transcript.pyannote[353].speaker |
SPEAKER_18 |
transcript.pyannote[353].start |
3748.52534375 |
transcript.pyannote[353].end |
3749.16659375 |
transcript.pyannote[354].speaker |
SPEAKER_18 |
transcript.pyannote[354].start |
3749.30159375 |
transcript.pyannote[354].end |
3754.71846875 |
transcript.pyannote[355].speaker |
SPEAKER_18 |
transcript.pyannote[355].start |
3755.27534375 |
transcript.pyannote[355].end |
3760.96221875 |
transcript.pyannote[356].speaker |
SPEAKER_18 |
transcript.pyannote[356].start |
3761.58659375 |
transcript.pyannote[356].end |
3762.04221875 |
transcript.pyannote[357].speaker |
SPEAKER_18 |
transcript.pyannote[357].start |
3762.26159375 |
transcript.pyannote[357].end |
3763.51034375 |
transcript.pyannote[358].speaker |
SPEAKER_18 |
transcript.pyannote[358].start |
3763.72971875 |
transcript.pyannote[358].end |
3767.71221875 |
transcript.pyannote[359].speaker |
SPEAKER_18 |
transcript.pyannote[359].start |
3768.06659375 |
transcript.pyannote[359].end |
3774.29346875 |
transcript.pyannote[360].speaker |
SPEAKER_18 |
transcript.pyannote[360].start |
3774.88409375 |
transcript.pyannote[360].end |
3776.84159375 |
transcript.pyannote[361].speaker |
SPEAKER_18 |
transcript.pyannote[361].start |
3777.44909375 |
transcript.pyannote[361].end |
3777.73596875 |
transcript.pyannote[362].speaker |
SPEAKER_18 |
transcript.pyannote[362].start |
3778.17471875 |
transcript.pyannote[362].end |
3779.30534375 |
transcript.pyannote[363].speaker |
SPEAKER_18 |
transcript.pyannote[363].start |
3779.38971875 |
transcript.pyannote[363].end |
3781.65096875 |
transcript.pyannote[364].speaker |
SPEAKER_18 |
transcript.pyannote[364].start |
3781.87034375 |
transcript.pyannote[364].end |
3785.86971875 |
transcript.pyannote[365].speaker |
SPEAKER_18 |
transcript.pyannote[365].start |
3786.24096875 |
transcript.pyannote[365].end |
3787.16909375 |
transcript.pyannote[366].speaker |
SPEAKER_18 |
transcript.pyannote[366].start |
3787.64159375 |
transcript.pyannote[366].end |
3789.04221875 |
transcript.pyannote[367].speaker |
SPEAKER_18 |
transcript.pyannote[367].start |
3789.71721875 |
transcript.pyannote[367].end |
3791.99534375 |
transcript.pyannote[368].speaker |
SPEAKER_18 |
transcript.pyannote[368].start |
3792.21471875 |
transcript.pyannote[368].end |
3793.27784375 |
transcript.pyannote[369].speaker |
SPEAKER_18 |
transcript.pyannote[369].start |
3793.49721875 |
transcript.pyannote[369].end |
3795.52221875 |
transcript.pyannote[370].speaker |
SPEAKER_18 |
transcript.pyannote[370].start |
3795.75846875 |
transcript.pyannote[370].end |
3807.08159375 |
transcript.pyannote[371].speaker |
SPEAKER_18 |
transcript.pyannote[371].start |
3807.80721875 |
transcript.pyannote[371].end |
3814.40534375 |
transcript.pyannote[372].speaker |
SPEAKER_03 |
transcript.pyannote[372].start |
3819.80534375 |
transcript.pyannote[372].end |
3825.00284375 |
transcript.pyannote[373].speaker |
SPEAKER_03 |
transcript.pyannote[373].start |
3825.03659375 |
transcript.pyannote[373].end |
3825.05346875 |
transcript.pyannote[374].speaker |
SPEAKER_03 |
transcript.pyannote[374].start |
3825.10409375 |
transcript.pyannote[374].end |
3834.41909375 |
transcript.pyannote[375].speaker |
SPEAKER_03 |
transcript.pyannote[375].start |
3835.02659375 |
transcript.pyannote[375].end |
3844.64534375 |
transcript.pyannote[376].speaker |
SPEAKER_03 |
transcript.pyannote[376].start |
3845.32034375 |
transcript.pyannote[376].end |
3851.54721875 |
transcript.pyannote[377].speaker |
SPEAKER_03 |
transcript.pyannote[377].start |
3851.93534375 |
transcript.pyannote[377].end |
3857.14971875 |
transcript.pyannote[378].speaker |
SPEAKER_03 |
transcript.pyannote[378].start |
3858.26346875 |
transcript.pyannote[378].end |
3863.52846875 |
transcript.pyannote[379].speaker |
SPEAKER_03 |
transcript.pyannote[379].start |
3863.78159375 |
transcript.pyannote[379].end |
3869.63721875 |
transcript.pyannote[380].speaker |
SPEAKER_03 |
transcript.pyannote[380].start |
3870.17721875 |
transcript.pyannote[380].end |
3877.09596875 |
transcript.pyannote[381].speaker |
SPEAKER_03 |
transcript.pyannote[381].start |
3877.72034375 |
transcript.pyannote[381].end |
3887.01846875 |
transcript.pyannote[382].speaker |
SPEAKER_03 |
transcript.pyannote[382].start |
3887.32221875 |
transcript.pyannote[382].end |
3900.41721875 |
transcript.pyannote[383].speaker |
SPEAKER_03 |
transcript.pyannote[383].start |
3900.90659375 |
transcript.pyannote[383].end |
3902.76284375 |
transcript.pyannote[384].speaker |
SPEAKER_03 |
transcript.pyannote[384].start |
3903.21846875 |
transcript.pyannote[384].end |
3916.19534375 |
transcript.pyannote[385].speaker |
SPEAKER_03 |
transcript.pyannote[385].start |
3917.10659375 |
transcript.pyannote[385].end |
3920.66721875 |
transcript.pyannote[386].speaker |
SPEAKER_03 |
transcript.pyannote[386].start |
3921.89909375 |
transcript.pyannote[386].end |
3926.26971875 |
transcript.pyannote[387].speaker |
SPEAKER_03 |
transcript.pyannote[387].start |
3926.80971875 |
transcript.pyannote[387].end |
3937.33971875 |
transcript.pyannote[388].speaker |
SPEAKER_03 |
transcript.pyannote[388].start |
3938.16659375 |
transcript.pyannote[388].end |
3941.35596875 |
transcript.pyannote[389].speaker |
SPEAKER_03 |
transcript.pyannote[389].start |
3942.48659375 |
transcript.pyannote[389].end |
3943.53284375 |
transcript.pyannote[390].speaker |
SPEAKER_03 |
transcript.pyannote[390].start |
3943.83659375 |
transcript.pyannote[390].end |
3947.92034375 |
transcript.pyannote[391].speaker |
SPEAKER_03 |
transcript.pyannote[391].start |
3948.30846875 |
transcript.pyannote[391].end |
3952.78034375 |
transcript.pyannote[392].speaker |
SPEAKER_03 |
transcript.pyannote[392].start |
3953.03346875 |
transcript.pyannote[392].end |
3956.61096875 |
transcript.pyannote[393].speaker |
SPEAKER_03 |
transcript.pyannote[393].start |
3956.93159375 |
transcript.pyannote[393].end |
3959.90159375 |
transcript.pyannote[394].speaker |
SPEAKER_03 |
transcript.pyannote[394].start |
3960.35721875 |
transcript.pyannote[394].end |
3964.71096875 |
transcript.pyannote[395].speaker |
SPEAKER_03 |
transcript.pyannote[395].start |
3965.18346875 |
transcript.pyannote[395].end |
3967.30971875 |
transcript.pyannote[396].speaker |
SPEAKER_03 |
transcript.pyannote[396].start |
3967.83284375 |
transcript.pyannote[396].end |
3972.94596875 |
transcript.pyannote[397].speaker |
SPEAKER_03 |
transcript.pyannote[397].start |
3973.33409375 |
transcript.pyannote[397].end |
3975.81471875 |
transcript.pyannote[398].speaker |
SPEAKER_03 |
transcript.pyannote[398].start |
3976.15221875 |
transcript.pyannote[398].end |
3978.51471875 |
transcript.pyannote[399].speaker |
SPEAKER_03 |
transcript.pyannote[399].start |
3979.44284375 |
transcript.pyannote[399].end |
3981.04596875 |
transcript.pyannote[400].speaker |
SPEAKER_03 |
transcript.pyannote[400].start |
3981.33284375 |
transcript.pyannote[400].end |
3989.58471875 |
transcript.pyannote[401].speaker |
SPEAKER_03 |
transcript.pyannote[401].start |
3989.85471875 |
transcript.pyannote[401].end |
3991.55909375 |
transcript.pyannote[402].speaker |
SPEAKER_03 |
transcript.pyannote[402].start |
3991.94721875 |
transcript.pyannote[402].end |
3996.13221875 |
transcript.pyannote[403].speaker |
SPEAKER_03 |
transcript.pyannote[403].start |
3997.36409375 |
transcript.pyannote[403].end |
4002.44346875 |
transcript.pyannote[404].speaker |
SPEAKER_03 |
transcript.pyannote[404].start |
4002.71346875 |
transcript.pyannote[404].end |
4005.34596875 |
transcript.pyannote[405].speaker |
SPEAKER_03 |
transcript.pyannote[405].start |
4005.49784375 |
transcript.pyannote[405].end |
4007.75909375 |
transcript.pyannote[406].speaker |
SPEAKER_03 |
transcript.pyannote[406].start |
4008.55221875 |
transcript.pyannote[406].end |
4010.12159375 |
transcript.pyannote[407].speaker |
SPEAKER_03 |
transcript.pyannote[407].start |
4010.35784375 |
transcript.pyannote[407].end |
4019.74034375 |
transcript.pyannote[408].speaker |
SPEAKER_03 |
transcript.pyannote[408].start |
4020.63471875 |
transcript.pyannote[408].end |
4035.60284375 |
transcript.pyannote[409].speaker |
SPEAKER_03 |
transcript.pyannote[409].start |
4036.22721875 |
transcript.pyannote[409].end |
4038.37034375 |
transcript.pyannote[410].speaker |
SPEAKER_03 |
transcript.pyannote[410].start |
4038.85971875 |
transcript.pyannote[410].end |
4070.66909375 |
transcript.pyannote[411].speaker |
SPEAKER_03 |
transcript.pyannote[411].start |
4071.59721875 |
transcript.pyannote[411].end |
4075.25909375 |
transcript.pyannote[412].speaker |
SPEAKER_03 |
transcript.pyannote[412].start |
4075.57971875 |
transcript.pyannote[412].end |
4088.65784375 |
transcript.pyannote[413].speaker |
SPEAKER_03 |
transcript.pyannote[413].start |
4088.96159375 |
transcript.pyannote[413].end |
4092.96096875 |
transcript.pyannote[414].speaker |
SPEAKER_03 |
transcript.pyannote[414].start |
4093.55159375 |
transcript.pyannote[414].end |
4102.54596875 |
transcript.pyannote[415].speaker |
SPEAKER_03 |
transcript.pyannote[415].start |
4103.79471875 |
transcript.pyannote[415].end |
4112.43471875 |
transcript.pyannote[416].speaker |
SPEAKER_03 |
transcript.pyannote[416].start |
4112.72159375 |
transcript.pyannote[416].end |
4118.23971875 |
transcript.pyannote[417].speaker |
SPEAKER_03 |
transcript.pyannote[417].start |
4118.86409375 |
transcript.pyannote[417].end |
4119.40409375 |
transcript.pyannote[418].speaker |
SPEAKER_03 |
transcript.pyannote[418].start |
4119.50534375 |
transcript.pyannote[418].end |
4132.68471875 |
transcript.pyannote[419].speaker |
SPEAKER_03 |
transcript.pyannote[419].start |
4133.07284375 |
transcript.pyannote[419].end |
4134.89534375 |
transcript.pyannote[420].speaker |
SPEAKER_03 |
transcript.pyannote[420].start |
4135.01346875 |
transcript.pyannote[420].end |
4136.16096875 |
transcript.pyannote[421].speaker |
SPEAKER_03 |
transcript.pyannote[421].start |
4136.43096875 |
transcript.pyannote[421].end |
4139.06346875 |
transcript.pyannote[422].speaker |
SPEAKER_03 |
transcript.pyannote[422].start |
4139.63721875 |
transcript.pyannote[422].end |
4143.87284375 |
transcript.pyannote[423].speaker |
SPEAKER_03 |
transcript.pyannote[423].start |
4144.15971875 |
transcript.pyannote[423].end |
4147.97346875 |
transcript.pyannote[424].speaker |
SPEAKER_03 |
transcript.pyannote[424].start |
4148.34471875 |
transcript.pyannote[424].end |
4155.07784375 |
transcript.pyannote[425].speaker |
SPEAKER_03 |
transcript.pyannote[425].start |
4155.58409375 |
transcript.pyannote[425].end |
4163.02596875 |
transcript.pyannote[426].speaker |
SPEAKER_03 |
transcript.pyannote[426].start |
4163.22846875 |
transcript.pyannote[426].end |
4166.94096875 |
transcript.pyannote[427].speaker |
SPEAKER_03 |
transcript.pyannote[427].start |
4167.00846875 |
transcript.pyannote[427].end |
4200.94409375 |
transcript.pyannote[428].speaker |
SPEAKER_03 |
transcript.pyannote[428].start |
4201.60221875 |
transcript.pyannote[428].end |
4212.01409375 |
transcript.pyannote[429].speaker |
SPEAKER_03 |
transcript.pyannote[429].start |
4212.62159375 |
transcript.pyannote[429].end |
4213.58346875 |
transcript.pyannote[430].speaker |
SPEAKER_03 |
transcript.pyannote[430].start |
4214.47784375 |
transcript.pyannote[430].end |
4219.60784375 |
transcript.pyannote[431].speaker |
SPEAKER_10 |
transcript.pyannote[431].start |
4224.92346875 |
transcript.pyannote[431].end |
4234.39034375 |
transcript.pyannote[432].speaker |
SPEAKER_10 |
transcript.pyannote[432].start |
4234.64346875 |
transcript.pyannote[432].end |
4244.43096875 |
transcript.pyannote[433].speaker |
SPEAKER_10 |
transcript.pyannote[433].start |
4244.54909375 |
transcript.pyannote[433].end |
4246.52346875 |
transcript.pyannote[434].speaker |
SPEAKER_10 |
transcript.pyannote[434].start |
4246.62471875 |
transcript.pyannote[434].end |
4258.94346875 |
transcript.pyannote[435].speaker |
SPEAKER_10 |
transcript.pyannote[435].start |
4259.33159375 |
transcript.pyannote[435].end |
4264.29284375 |
transcript.pyannote[436].speaker |
SPEAKER_10 |
transcript.pyannote[436].start |
4264.34346875 |
transcript.pyannote[436].end |
4269.47346875 |
transcript.pyannote[437].speaker |
SPEAKER_10 |
transcript.pyannote[437].start |
4270.18221875 |
transcript.pyannote[437].end |
4271.59971875 |
transcript.pyannote[438].speaker |
SPEAKER_10 |
transcript.pyannote[438].start |
4272.02159375 |
transcript.pyannote[438].end |
4274.75534375 |
transcript.pyannote[439].speaker |
SPEAKER_10 |
transcript.pyannote[439].start |
4275.02534375 |
transcript.pyannote[439].end |
4277.16846875 |
transcript.pyannote[440].speaker |
SPEAKER_10 |
transcript.pyannote[440].start |
4277.53971875 |
transcript.pyannote[440].end |
4281.20159375 |
transcript.pyannote[441].speaker |
SPEAKER_10 |
transcript.pyannote[441].start |
4281.60659375 |
transcript.pyannote[441].end |
4283.29409375 |
transcript.pyannote[442].speaker |
SPEAKER_10 |
transcript.pyannote[442].start |
4283.83409375 |
transcript.pyannote[442].end |
4289.75721875 |
transcript.pyannote[443].speaker |
SPEAKER_10 |
transcript.pyannote[443].start |
4289.80784375 |
transcript.pyannote[443].end |
4291.56284375 |
transcript.pyannote[444].speaker |
SPEAKER_10 |
transcript.pyannote[444].start |
4291.93409375 |
transcript.pyannote[444].end |
4295.49471875 |
transcript.pyannote[445].speaker |
SPEAKER_10 |
transcript.pyannote[445].start |
4296.08534375 |
transcript.pyannote[445].end |
4298.71784375 |
transcript.pyannote[446].speaker |
SPEAKER_10 |
transcript.pyannote[446].start |
4299.05534375 |
transcript.pyannote[446].end |
4305.65346875 |
transcript.pyannote[447].speaker |
SPEAKER_10 |
transcript.pyannote[447].start |
4306.09221875 |
transcript.pyannote[447].end |
4306.34534375 |
transcript.pyannote[448].speaker |
SPEAKER_10 |
transcript.pyannote[448].start |
4306.81784375 |
transcript.pyannote[448].end |
4317.16221875 |
transcript.pyannote[449].speaker |
SPEAKER_10 |
transcript.pyannote[449].start |
4318.20846875 |
transcript.pyannote[449].end |
4320.18284375 |
transcript.pyannote[450].speaker |
SPEAKER_10 |
transcript.pyannote[450].start |
4320.28409375 |
transcript.pyannote[450].end |
4322.95034375 |
transcript.pyannote[451].speaker |
SPEAKER_10 |
transcript.pyannote[451].start |
4323.38909375 |
transcript.pyannote[451].end |
4329.14346875 |
transcript.pyannote[452].speaker |
SPEAKER_10 |
transcript.pyannote[452].start |
4329.53159375 |
transcript.pyannote[452].end |
4337.58096875 |
transcript.pyannote[453].speaker |
SPEAKER_10 |
transcript.pyannote[453].start |
4338.18846875 |
transcript.pyannote[453].end |
4339.01534375 |
transcript.pyannote[454].speaker |
SPEAKER_10 |
transcript.pyannote[454].start |
4339.47096875 |
transcript.pyannote[454].end |
4341.63096875 |
transcript.pyannote[455].speaker |
SPEAKER_10 |
transcript.pyannote[455].start |
4341.96846875 |
transcript.pyannote[455].end |
4343.21721875 |
transcript.pyannote[456].speaker |
SPEAKER_10 |
transcript.pyannote[456].start |
4343.47034375 |
transcript.pyannote[456].end |
4351.33409375 |
transcript.pyannote[457].speaker |
SPEAKER_10 |
transcript.pyannote[457].start |
4352.14409375 |
transcript.pyannote[457].end |
4359.06284375 |
transcript.pyannote[458].speaker |
SPEAKER_10 |
transcript.pyannote[458].start |
4359.31596875 |
transcript.pyannote[458].end |
4360.02471875 |
transcript.pyannote[459].speaker |
SPEAKER_10 |
transcript.pyannote[459].start |
4360.54784375 |
transcript.pyannote[459].end |
4365.22221875 |
transcript.pyannote[460].speaker |
SPEAKER_10 |
transcript.pyannote[460].start |
4365.59346875 |
transcript.pyannote[460].end |
4369.13721875 |
transcript.pyannote[461].speaker |
SPEAKER_10 |
transcript.pyannote[461].start |
4369.57596875 |
transcript.pyannote[461].end |
4369.96409375 |
transcript.pyannote[462].speaker |
SPEAKER_10 |
transcript.pyannote[462].start |
4370.48721875 |
transcript.pyannote[462].end |
4372.76534375 |
transcript.pyannote[463].speaker |
SPEAKER_10 |
transcript.pyannote[463].start |
4373.10284375 |
transcript.pyannote[463].end |
4374.80721875 |
transcript.pyannote[464].speaker |
SPEAKER_10 |
transcript.pyannote[464].start |
4374.99284375 |
transcript.pyannote[464].end |
4376.74784375 |
transcript.pyannote[465].speaker |
SPEAKER_10 |
transcript.pyannote[465].start |
4376.81534375 |
transcript.pyannote[465].end |
4381.33784375 |
transcript.pyannote[466].speaker |
SPEAKER_10 |
transcript.pyannote[466].start |
4382.11409375 |
transcript.pyannote[466].end |
4384.89846875 |
transcript.pyannote[467].speaker |
SPEAKER_10 |
transcript.pyannote[467].start |
4385.33721875 |
transcript.pyannote[467].end |
4387.81784375 |
transcript.pyannote[468].speaker |
SPEAKER_10 |
transcript.pyannote[468].start |
4388.23971875 |
transcript.pyannote[468].end |
4390.26471875 |
transcript.pyannote[469].speaker |
SPEAKER_10 |
transcript.pyannote[469].start |
4390.85534375 |
transcript.pyannote[469].end |
4393.48784375 |
transcript.pyannote[470].speaker |
SPEAKER_10 |
transcript.pyannote[470].start |
4393.62284375 |
transcript.pyannote[470].end |
4393.99409375 |
transcript.pyannote[471].speaker |
SPEAKER_10 |
transcript.pyannote[471].start |
4394.36534375 |
transcript.pyannote[471].end |
4396.82909375 |
transcript.pyannote[472].speaker |
SPEAKER_10 |
transcript.pyannote[472].start |
4397.16659375 |
transcript.pyannote[472].end |
4404.38909375 |
transcript.pyannote[473].speaker |
SPEAKER_10 |
transcript.pyannote[473].start |
4405.03034375 |
transcript.pyannote[473].end |
4416.50534375 |
transcript.pyannote[474].speaker |
SPEAKER_10 |
transcript.pyannote[474].start |
4416.57284375 |
transcript.pyannote[474].end |
4417.19721875 |
transcript.pyannote[475].speaker |
SPEAKER_10 |
transcript.pyannote[475].start |
4417.66971875 |
transcript.pyannote[475].end |
4419.15471875 |
transcript.pyannote[476].speaker |
SPEAKER_10 |
transcript.pyannote[476].start |
4419.59346875 |
transcript.pyannote[476].end |
4422.20909375 |
transcript.pyannote[477].speaker |
SPEAKER_10 |
transcript.pyannote[477].start |
4422.83346875 |
transcript.pyannote[477].end |
4423.15409375 |
transcript.pyannote[478].speaker |
SPEAKER_10 |
transcript.pyannote[478].start |
4423.74471875 |
transcript.pyannote[478].end |
4424.30159375 |
transcript.pyannote[479].speaker |
SPEAKER_10 |
transcript.pyannote[479].start |
4424.80784375 |
transcript.pyannote[479].end |
4427.79471875 |
transcript.pyannote[480].speaker |
SPEAKER_10 |
transcript.pyannote[480].start |
4428.04784375 |
transcript.pyannote[480].end |
4431.42284375 |
transcript.pyannote[481].speaker |
SPEAKER_10 |
transcript.pyannote[481].start |
4431.64221875 |
transcript.pyannote[481].end |
4435.40534375 |
transcript.pyannote[482].speaker |
SPEAKER_10 |
transcript.pyannote[482].start |
4435.55721875 |
transcript.pyannote[482].end |
4436.26596875 |
transcript.pyannote[483].speaker |
SPEAKER_10 |
transcript.pyannote[483].start |
4436.85659375 |
transcript.pyannote[483].end |
4437.12659375 |
transcript.pyannote[484].speaker |
SPEAKER_10 |
transcript.pyannote[484].start |
4437.76784375 |
transcript.pyannote[484].end |
4438.91534375 |
transcript.pyannote[485].speaker |
SPEAKER_10 |
transcript.pyannote[485].start |
4439.87721875 |
transcript.pyannote[485].end |
4440.43409375 |
transcript.pyannote[486].speaker |
SPEAKER_10 |
transcript.pyannote[486].start |
4440.78846875 |
transcript.pyannote[486].end |
4444.04534375 |
transcript.pyannote[487].speaker |
SPEAKER_10 |
transcript.pyannote[487].start |
4444.88909375 |
transcript.pyannote[487].end |
4448.19659375 |
transcript.pyannote[488].speaker |
SPEAKER_10 |
transcript.pyannote[488].start |
4448.38221875 |
transcript.pyannote[488].end |
4450.86284375 |
transcript.pyannote[489].speaker |
SPEAKER_10 |
transcript.pyannote[489].start |
4451.28471875 |
transcript.pyannote[489].end |
4454.32221875 |
transcript.pyannote[490].speaker |
SPEAKER_10 |
transcript.pyannote[490].start |
4454.81159375 |
transcript.pyannote[490].end |
4458.65909375 |
transcript.pyannote[491].speaker |
SPEAKER_10 |
transcript.pyannote[491].start |
4458.92909375 |
transcript.pyannote[491].end |
4463.19846875 |
transcript.pyannote[492].speaker |
SPEAKER_10 |
transcript.pyannote[492].start |
4464.00846875 |
transcript.pyannote[492].end |
4467.45096875 |
transcript.pyannote[493].speaker |
SPEAKER_10 |
transcript.pyannote[493].start |
4468.24409375 |
transcript.pyannote[493].end |
4476.63096875 |
transcript.pyannote[494].speaker |
SPEAKER_10 |
transcript.pyannote[494].start |
4477.12034375 |
transcript.pyannote[494].end |
4477.40721875 |
transcript.pyannote[495].speaker |
SPEAKER_10 |
transcript.pyannote[495].start |
4477.69409375 |
transcript.pyannote[495].end |
4478.53784375 |
transcript.pyannote[496].speaker |
SPEAKER_10 |
transcript.pyannote[496].start |
4478.89221875 |
transcript.pyannote[496].end |
4480.90034375 |
transcript.pyannote[497].speaker |
SPEAKER_10 |
transcript.pyannote[497].start |
4482.35159375 |
transcript.pyannote[497].end |
4484.51159375 |
transcript.pyannote[498].speaker |
SPEAKER_10 |
transcript.pyannote[498].start |
4485.15284375 |
transcript.pyannote[498].end |
4490.13096875 |
transcript.pyannote[499].speaker |
SPEAKER_10 |
transcript.pyannote[499].start |
4490.67096875 |
transcript.pyannote[499].end |
4496.96534375 |
transcript.pyannote[500].speaker |
SPEAKER_10 |
transcript.pyannote[500].start |
4497.13409375 |
transcript.pyannote[500].end |
4500.44159375 |
transcript.pyannote[501].speaker |
SPEAKER_10 |
transcript.pyannote[501].start |
4500.67784375 |
transcript.pyannote[501].end |
4502.01096875 |
transcript.pyannote[502].speaker |
SPEAKER_10 |
transcript.pyannote[502].start |
4502.93909375 |
transcript.pyannote[502].end |
4512.84471875 |
transcript.pyannote[503].speaker |
SPEAKER_10 |
transcript.pyannote[503].start |
4513.33409375 |
transcript.pyannote[503].end |
4514.04284375 |
transcript.pyannote[504].speaker |
SPEAKER_10 |
transcript.pyannote[504].start |
4514.12721875 |
transcript.pyannote[504].end |
4518.61596875 |
transcript.pyannote[505].speaker |
SPEAKER_10 |
transcript.pyannote[505].start |
4518.90284375 |
transcript.pyannote[505].end |
4522.41284375 |
transcript.pyannote[506].speaker |
SPEAKER_10 |
transcript.pyannote[506].start |
4523.02034375 |
transcript.pyannote[506].end |
4523.64471875 |
transcript.pyannote[507].speaker |
SPEAKER_10 |
transcript.pyannote[507].start |
4523.74596875 |
transcript.pyannote[507].end |
4534.59659375 |
transcript.pyannote[508].speaker |
SPEAKER_10 |
transcript.pyannote[508].start |
4534.98471875 |
transcript.pyannote[508].end |
4537.87034375 |
transcript.pyannote[509].speaker |
SPEAKER_10 |
transcript.pyannote[509].start |
4538.44409375 |
transcript.pyannote[509].end |
4538.88284375 |
transcript.pyannote[510].speaker |
SPEAKER_10 |
transcript.pyannote[510].start |
4539.18659375 |
transcript.pyannote[510].end |
4540.14846875 |
transcript.pyannote[511].speaker |
SPEAKER_10 |
transcript.pyannote[511].start |
4540.58721875 |
transcript.pyannote[511].end |
4550.17221875 |
transcript.pyannote[512].speaker |
SPEAKER_10 |
transcript.pyannote[512].start |
4550.61096875 |
transcript.pyannote[512].end |
4551.38721875 |
transcript.pyannote[513].speaker |
SPEAKER_10 |
transcript.pyannote[513].start |
4551.77534375 |
transcript.pyannote[513].end |
4559.90909375 |
transcript.pyannote[514].speaker |
SPEAKER_10 |
transcript.pyannote[514].start |
4560.07784375 |
transcript.pyannote[514].end |
4562.17034375 |
transcript.pyannote[515].speaker |
SPEAKER_10 |
transcript.pyannote[515].start |
4562.55846875 |
transcript.pyannote[515].end |
4565.59596875 |
transcript.pyannote[516].speaker |
SPEAKER_10 |
transcript.pyannote[516].start |
4565.98409375 |
transcript.pyannote[516].end |
4571.68784375 |
transcript.pyannote[517].speaker |
SPEAKER_10 |
transcript.pyannote[517].start |
4572.12659375 |
transcript.pyannote[517].end |
4572.98721875 |
transcript.pyannote[518].speaker |
SPEAKER_10 |
transcript.pyannote[518].start |
4573.30784375 |
transcript.pyannote[518].end |
4573.86471875 |
transcript.pyannote[519].speaker |
SPEAKER_06 |
transcript.pyannote[519].start |
4573.86471875 |
transcript.pyannote[519].end |
4573.88159375 |
transcript.pyannote[520].speaker |
SPEAKER_06 |
transcript.pyannote[520].start |
4575.16409375 |
transcript.pyannote[520].end |
4578.47159375 |
transcript.pyannote[521].speaker |
SPEAKER_06 |
transcript.pyannote[521].start |
4578.82596875 |
transcript.pyannote[521].end |
4590.84096875 |
transcript.pyannote[522].speaker |
SPEAKER_06 |
transcript.pyannote[522].start |
4591.31346875 |
transcript.pyannote[522].end |
4592.54534375 |
transcript.pyannote[523].speaker |
SPEAKER_06 |
transcript.pyannote[523].start |
4592.88284375 |
transcript.pyannote[523].end |
4596.03846875 |
transcript.pyannote[524].speaker |
SPEAKER_06 |
transcript.pyannote[524].start |
4596.32534375 |
transcript.pyannote[524].end |
4627.10534375 |
transcript.pyannote[525].speaker |
SPEAKER_05 |
transcript.pyannote[525].start |
4629.90659375 |
transcript.pyannote[525].end |
4633.97346875 |
transcript.pyannote[526].speaker |
SPEAKER_04 |
transcript.pyannote[526].start |
4630.27784375 |
transcript.pyannote[526].end |
4630.53096875 |
transcript.pyannote[527].speaker |
SPEAKER_06 |
transcript.pyannote[527].start |
4630.53096875 |
transcript.pyannote[527].end |
4631.02034375 |
transcript.pyannote[528].speaker |
SPEAKER_04 |
transcript.pyannote[528].start |
4631.02034375 |
transcript.pyannote[528].end |
4631.05409375 |
transcript.pyannote[529].speaker |
SPEAKER_04 |
transcript.pyannote[529].start |
4631.47596875 |
transcript.pyannote[529].end |
4631.57721875 |
transcript.pyannote[530].speaker |
SPEAKER_22 |
transcript.pyannote[530].start |
4631.57721875 |
transcript.pyannote[530].end |
4632.26909375 |
transcript.pyannote[531].speaker |
SPEAKER_22 |
transcript.pyannote[531].start |
4633.97346875 |
transcript.pyannote[531].end |
4636.04909375 |
transcript.pyannote[532].speaker |
SPEAKER_04 |
transcript.pyannote[532].start |
4634.02409375 |
transcript.pyannote[532].end |
4635.93096875 |
transcript.pyannote[533].speaker |
SPEAKER_06 |
transcript.pyannote[533].start |
5771.95596875 |
transcript.pyannote[533].end |
5779.12784375 |
transcript.pyannote[534].speaker |
SPEAKER_20 |
transcript.pyannote[534].start |
5788.07159375 |
transcript.pyannote[534].end |
5789.82659375 |
transcript.pyannote[535].speaker |
SPEAKER_06 |
transcript.pyannote[535].start |
5788.51034375 |
transcript.pyannote[535].end |
5789.16846875 |
transcript.pyannote[536].speaker |
SPEAKER_06 |
transcript.pyannote[536].start |
5789.91096875 |
transcript.pyannote[536].end |
5790.68721875 |
transcript.pyannote[537].speaker |
SPEAKER_16 |
transcript.pyannote[537].start |
5799.78284375 |
transcript.pyannote[537].end |
5800.86284375 |
transcript.pyannote[538].speaker |
SPEAKER_20 |
transcript.pyannote[538].start |
5801.38596875 |
transcript.pyannote[538].end |
5819.05409375 |
transcript.pyannote[539].speaker |
SPEAKER_20 |
transcript.pyannote[539].start |
5819.15534375 |
transcript.pyannote[539].end |
5842.99971875 |
transcript.pyannote[540].speaker |
SPEAKER_20 |
transcript.pyannote[540].start |
5843.37096875 |
transcript.pyannote[540].end |
5916.77721875 |
transcript.pyannote[541].speaker |
SPEAKER_17 |
transcript.pyannote[541].start |
5917.87409375 |
transcript.pyannote[541].end |
5958.10409375 |
transcript.pyannote[542].speaker |
SPEAKER_16 |
transcript.pyannote[542].start |
5925.19784375 |
transcript.pyannote[542].end |
5925.65346875 |
transcript.pyannote[543].speaker |
SPEAKER_17 |
transcript.pyannote[543].start |
5958.52596875 |
transcript.pyannote[543].end |
5965.47846875 |
transcript.pyannote[544].speaker |
SPEAKER_17 |
transcript.pyannote[544].start |
5965.81596875 |
transcript.pyannote[544].end |
5995.17846875 |
transcript.pyannote[545].speaker |
SPEAKER_16 |
transcript.pyannote[545].start |
5987.53409375 |
transcript.pyannote[545].end |
5987.92221875 |
transcript.pyannote[546].speaker |
SPEAKER_17 |
transcript.pyannote[546].start |
5995.71846875 |
transcript.pyannote[546].end |
6040.96034375 |
transcript.pyannote[547].speaker |
SPEAKER_17 |
transcript.pyannote[547].start |
6041.70284375 |
transcript.pyannote[547].end |
6092.12534375 |
transcript.pyannote[548].speaker |
SPEAKER_17 |
transcript.pyannote[548].start |
6092.34471875 |
transcript.pyannote[548].end |
6092.44596875 |
transcript.pyannote[549].speaker |
SPEAKER_20 |
transcript.pyannote[549].start |
6092.37846875 |
transcript.pyannote[549].end |
6129.89159375 |
transcript.pyannote[550].speaker |
SPEAKER_00 |
transcript.pyannote[550].start |
6101.94659375 |
transcript.pyannote[550].end |
6102.04784375 |
transcript.pyannote[551].speaker |
SPEAKER_22 |
transcript.pyannote[551].start |
6102.04784375 |
transcript.pyannote[551].end |
6102.28409375 |
transcript.pyannote[552].speaker |
SPEAKER_00 |
transcript.pyannote[552].start |
6102.28409375 |
transcript.pyannote[552].end |
6102.40221875 |
transcript.pyannote[553].speaker |
SPEAKER_20 |
transcript.pyannote[553].start |
6130.60034375 |
transcript.pyannote[553].end |
6173.34471875 |
transcript.pyannote[554].speaker |
SPEAKER_17 |
transcript.pyannote[554].start |
6173.96909375 |
transcript.pyannote[554].end |
6174.44159375 |
transcript.pyannote[555].speaker |
SPEAKER_17 |
transcript.pyannote[555].start |
6174.84659375 |
transcript.pyannote[555].end |
6176.39909375 |
transcript.pyannote[556].speaker |
SPEAKER_17 |
transcript.pyannote[556].start |
6177.39471875 |
transcript.pyannote[556].end |
6181.95096875 |
transcript.pyannote[557].speaker |
SPEAKER_20 |
transcript.pyannote[557].start |
6181.90034375 |
transcript.pyannote[557].end |
6182.32221875 |
transcript.pyannote[558].speaker |
SPEAKER_17 |
transcript.pyannote[558].start |
6182.32221875 |
transcript.pyannote[558].end |
6185.27534375 |
transcript.pyannote[559].speaker |
SPEAKER_20 |
transcript.pyannote[559].start |
6185.64659375 |
transcript.pyannote[559].end |
6187.94159375 |
transcript.pyannote[560].speaker |
SPEAKER_17 |
transcript.pyannote[560].start |
6185.68034375 |
transcript.pyannote[560].end |
6187.03034375 |
transcript.pyannote[561].speaker |
SPEAKER_17 |
transcript.pyannote[561].start |
6187.65471875 |
transcript.pyannote[561].end |
6190.20284375 |
transcript.pyannote[562].speaker |
SPEAKER_20 |
transcript.pyannote[562].start |
6188.92034375 |
transcript.pyannote[562].end |
6189.69659375 |
transcript.pyannote[563].speaker |
SPEAKER_17 |
transcript.pyannote[563].start |
6190.79346875 |
transcript.pyannote[563].end |
6208.54596875 |
transcript.pyannote[564].speaker |
SPEAKER_20 |
transcript.pyannote[564].start |
6192.05909375 |
transcript.pyannote[564].end |
6192.53159375 |
transcript.pyannote[565].speaker |
SPEAKER_22 |
transcript.pyannote[565].start |
6192.53159375 |
transcript.pyannote[565].end |
6193.17284375 |
transcript.pyannote[566].speaker |
SPEAKER_22 |
transcript.pyannote[566].start |
6200.44596875 |
transcript.pyannote[566].end |
6200.49659375 |
transcript.pyannote[567].speaker |
SPEAKER_22 |
transcript.pyannote[567].start |
6200.81721875 |
transcript.pyannote[567].end |
6200.88471875 |
transcript.pyannote[568].speaker |
SPEAKER_20 |
transcript.pyannote[568].start |
6208.05659375 |
transcript.pyannote[568].end |
6211.09409375 |
transcript.pyannote[569].speaker |
SPEAKER_17 |
transcript.pyannote[569].start |
6210.43596875 |
transcript.pyannote[569].end |
6215.29596875 |
transcript.pyannote[570].speaker |
SPEAKER_17 |
transcript.pyannote[570].start |
6215.58284375 |
transcript.pyannote[570].end |
6246.75096875 |
transcript.pyannote[571].speaker |
SPEAKER_17 |
transcript.pyannote[571].start |
6247.12221875 |
transcript.pyannote[571].end |
6247.13909375 |
transcript.pyannote[572].speaker |
SPEAKER_20 |
transcript.pyannote[572].start |
6247.13909375 |
transcript.pyannote[572].end |
6247.15596875 |
transcript.pyannote[573].speaker |
SPEAKER_17 |
transcript.pyannote[573].start |
6247.15596875 |
transcript.pyannote[573].end |
6247.17284375 |
transcript.pyannote[574].speaker |
SPEAKER_20 |
transcript.pyannote[574].start |
6247.17284375 |
transcript.pyannote[574].end |
6254.51346875 |
transcript.pyannote[575].speaker |
SPEAKER_17 |
transcript.pyannote[575].start |
6247.18971875 |
transcript.pyannote[575].end |
6247.42596875 |
transcript.pyannote[576].speaker |
SPEAKER_17 |
transcript.pyannote[576].start |
6254.10846875 |
transcript.pyannote[576].end |
6266.27534375 |
transcript.pyannote[577].speaker |
SPEAKER_20 |
transcript.pyannote[577].start |
6254.58096875 |
transcript.pyannote[577].end |
6254.81721875 |
transcript.pyannote[578].speaker |
SPEAKER_20 |
transcript.pyannote[578].start |
6266.37659375 |
transcript.pyannote[578].end |
6272.62034375 |
transcript.pyannote[579].speaker |
SPEAKER_17 |
transcript.pyannote[579].start |
6272.31659375 |
transcript.pyannote[579].end |
6287.18346875 |
transcript.pyannote[580].speaker |
SPEAKER_20 |
transcript.pyannote[580].start |
6275.89409375 |
transcript.pyannote[580].end |
6276.21471875 |
transcript.pyannote[581].speaker |
SPEAKER_20 |
transcript.pyannote[581].start |
6276.95721875 |
transcript.pyannote[581].end |
6277.59846875 |
transcript.pyannote[582].speaker |
SPEAKER_20 |
transcript.pyannote[582].start |
6280.29846875 |
transcript.pyannote[582].end |
6280.72034375 |
transcript.pyannote[583].speaker |
SPEAKER_20 |
transcript.pyannote[583].start |
6287.18346875 |
transcript.pyannote[583].end |
6294.11909375 |
transcript.pyannote[584].speaker |
SPEAKER_06 |
transcript.pyannote[584].start |
6294.11909375 |
transcript.pyannote[584].end |
6296.59971875 |
transcript.pyannote[585].speaker |
SPEAKER_06 |
transcript.pyannote[585].start |
6297.37596875 |
transcript.pyannote[585].end |
6300.54846875 |
transcript.pyannote[586].speaker |
SPEAKER_09 |
transcript.pyannote[586].start |
6331.90221875 |
transcript.pyannote[586].end |
6334.21409375 |
transcript.pyannote[587].speaker |
SPEAKER_09 |
transcript.pyannote[587].start |
6334.24784375 |
transcript.pyannote[587].end |
6334.33221875 |
transcript.pyannote[588].speaker |
SPEAKER_06 |
transcript.pyannote[588].start |
6334.33221875 |
transcript.pyannote[588].end |
6335.04096875 |
transcript.pyannote[589].speaker |
SPEAKER_16 |
transcript.pyannote[589].start |
6342.16221875 |
transcript.pyannote[589].end |
6343.32659375 |
transcript.pyannote[590].speaker |
SPEAKER_09 |
transcript.pyannote[590].start |
6342.87096875 |
transcript.pyannote[590].end |
6346.41471875 |
transcript.pyannote[591].speaker |
SPEAKER_09 |
transcript.pyannote[591].start |
6347.08971875 |
transcript.pyannote[591].end |
6349.82346875 |
transcript.pyannote[592].speaker |
SPEAKER_09 |
transcript.pyannote[592].start |
6350.51534375 |
transcript.pyannote[592].end |
6351.07221875 |
transcript.pyannote[593].speaker |
SPEAKER_09 |
transcript.pyannote[593].start |
6352.18596875 |
transcript.pyannote[593].end |
6353.13096875 |
transcript.pyannote[594].speaker |
SPEAKER_09 |
transcript.pyannote[594].start |
6354.09284375 |
transcript.pyannote[594].end |
6362.46284375 |
transcript.pyannote[595].speaker |
SPEAKER_09 |
transcript.pyannote[595].start |
6362.78346875 |
transcript.pyannote[595].end |
6364.85909375 |
transcript.pyannote[596].speaker |
SPEAKER_09 |
transcript.pyannote[596].start |
6365.28096875 |
transcript.pyannote[596].end |
6367.25534375 |
transcript.pyannote[597].speaker |
SPEAKER_09 |
transcript.pyannote[597].start |
6368.08221875 |
transcript.pyannote[597].end |
6370.52909375 |
transcript.pyannote[598].speaker |
SPEAKER_09 |
transcript.pyannote[598].start |
6370.88346875 |
transcript.pyannote[598].end |
6372.99284375 |
transcript.pyannote[599].speaker |
SPEAKER_09 |
transcript.pyannote[599].start |
6373.21221875 |
transcript.pyannote[599].end |
6374.62971875 |
transcript.pyannote[600].speaker |
SPEAKER_09 |
transcript.pyannote[600].start |
6375.01784375 |
transcript.pyannote[600].end |
6376.53659375 |
transcript.pyannote[601].speaker |
SPEAKER_09 |
transcript.pyannote[601].start |
6377.00909375 |
transcript.pyannote[601].end |
6377.92034375 |
transcript.pyannote[602].speaker |
SPEAKER_09 |
transcript.pyannote[602].start |
6378.64596875 |
transcript.pyannote[602].end |
6385.34534375 |
transcript.pyannote[603].speaker |
SPEAKER_09 |
transcript.pyannote[603].start |
6385.98659375 |
transcript.pyannote[603].end |
6390.69471875 |
transcript.pyannote[604].speaker |
SPEAKER_09 |
transcript.pyannote[604].start |
6390.96471875 |
transcript.pyannote[604].end |
6393.79971875 |
transcript.pyannote[605].speaker |
SPEAKER_09 |
transcript.pyannote[605].start |
6393.98534375 |
transcript.pyannote[605].end |
6395.75721875 |
transcript.pyannote[606].speaker |
SPEAKER_09 |
transcript.pyannote[606].start |
6396.21284375 |
transcript.pyannote[606].end |
6397.41096875 |
transcript.pyannote[607].speaker |
SPEAKER_09 |
transcript.pyannote[607].start |
6397.74846875 |
transcript.pyannote[607].end |
6399.04784375 |
transcript.pyannote[608].speaker |
SPEAKER_09 |
transcript.pyannote[608].start |
6399.19971875 |
transcript.pyannote[608].end |
6400.88721875 |
transcript.pyannote[609].speaker |
SPEAKER_09 |
transcript.pyannote[609].start |
6402.13596875 |
transcript.pyannote[609].end |
6402.97971875 |
transcript.pyannote[610].speaker |
SPEAKER_17 |
transcript.pyannote[610].start |
6403.87409375 |
transcript.pyannote[610].end |
6412.21034375 |
transcript.pyannote[611].speaker |
SPEAKER_17 |
transcript.pyannote[611].start |
6412.68284375 |
transcript.pyannote[611].end |
6437.05034375 |
transcript.pyannote[612].speaker |
SPEAKER_17 |
transcript.pyannote[612].start |
6437.28659375 |
transcript.pyannote[612].end |
6443.64846875 |
transcript.pyannote[613].speaker |
SPEAKER_09 |
transcript.pyannote[613].start |
6443.85096875 |
transcript.pyannote[613].end |
6456.99659375 |
transcript.pyannote[614].speaker |
SPEAKER_17 |
transcript.pyannote[614].start |
6457.31721875 |
transcript.pyannote[614].end |
6469.97346875 |
transcript.pyannote[615].speaker |
SPEAKER_09 |
transcript.pyannote[615].start |
6470.37846875 |
transcript.pyannote[615].end |
6474.74909375 |
transcript.pyannote[616].speaker |
SPEAKER_09 |
transcript.pyannote[616].start |
6475.15409375 |
transcript.pyannote[616].end |
6476.30159375 |
transcript.pyannote[617].speaker |
SPEAKER_09 |
transcript.pyannote[617].start |
6476.79096875 |
transcript.pyannote[617].end |
6481.92096875 |
transcript.pyannote[618].speaker |
SPEAKER_09 |
transcript.pyannote[618].start |
6482.15721875 |
transcript.pyannote[618].end |
6496.82159375 |
transcript.pyannote[619].speaker |
SPEAKER_09 |
transcript.pyannote[619].start |
6497.47971875 |
transcript.pyannote[619].end |
6499.63971875 |
transcript.pyannote[620].speaker |
SPEAKER_09 |
transcript.pyannote[620].start |
6500.09534375 |
transcript.pyannote[620].end |
6512.53221875 |
transcript.pyannote[621].speaker |
SPEAKER_09 |
transcript.pyannote[621].start |
6513.13971875 |
transcript.pyannote[621].end |
6521.86409375 |
transcript.pyannote[622].speaker |
SPEAKER_09 |
transcript.pyannote[622].start |
6522.11721875 |
transcript.pyannote[622].end |
6523.29846875 |
transcript.pyannote[623].speaker |
SPEAKER_09 |
transcript.pyannote[623].start |
6523.73721875 |
transcript.pyannote[623].end |
6527.56784375 |
transcript.pyannote[624].speaker |
SPEAKER_09 |
transcript.pyannote[624].start |
6528.00659375 |
transcript.pyannote[624].end |
6543.97034375 |
transcript.pyannote[625].speaker |
SPEAKER_09 |
transcript.pyannote[625].start |
6544.35846875 |
transcript.pyannote[625].end |
6555.49596875 |
transcript.pyannote[626].speaker |
SPEAKER_09 |
transcript.pyannote[626].start |
6556.32284375 |
transcript.pyannote[626].end |
6573.90659375 |
transcript.pyannote[627].speaker |
SPEAKER_09 |
transcript.pyannote[627].start |
6574.22721875 |
transcript.pyannote[627].end |
6577.58534375 |
transcript.pyannote[628].speaker |
SPEAKER_09 |
transcript.pyannote[628].start |
6578.32784375 |
transcript.pyannote[628].end |
6580.74096875 |
transcript.pyannote[629].speaker |
SPEAKER_09 |
transcript.pyannote[629].start |
6581.12909375 |
transcript.pyannote[629].end |
6595.42221875 |
transcript.pyannote[630].speaker |
SPEAKER_09 |
transcript.pyannote[630].start |
6595.65846875 |
transcript.pyannote[630].end |
6606.50909375 |
transcript.pyannote[631].speaker |
SPEAKER_09 |
transcript.pyannote[631].start |
6606.89721875 |
transcript.pyannote[631].end |
6609.76596875 |
transcript.pyannote[632].speaker |
SPEAKER_09 |
transcript.pyannote[632].start |
6609.88409375 |
transcript.pyannote[632].end |
6619.84034375 |
transcript.pyannote[633].speaker |
SPEAKER_09 |
transcript.pyannote[633].start |
6620.09346875 |
transcript.pyannote[633].end |
6624.54846875 |
transcript.pyannote[634].speaker |
SPEAKER_28 |
transcript.pyannote[634].start |
6624.90284375 |
transcript.pyannote[634].end |
6629.32409375 |
transcript.pyannote[635].speaker |
SPEAKER_28 |
transcript.pyannote[635].start |
6630.26909375 |
transcript.pyannote[635].end |
6671.76471875 |
transcript.pyannote[636].speaker |
SPEAKER_09 |
transcript.pyannote[636].start |
6673.60409375 |
transcript.pyannote[636].end |
6681.38346875 |
transcript.pyannote[637].speaker |
SPEAKER_09 |
transcript.pyannote[637].start |
6682.00784375 |
transcript.pyannote[637].end |
6682.95284375 |
transcript.pyannote[638].speaker |
SPEAKER_17 |
transcript.pyannote[638].start |
6682.95284375 |
transcript.pyannote[638].end |
6700.99221875 |
transcript.pyannote[639].speaker |
SPEAKER_09 |
transcript.pyannote[639].start |
6701.27909375 |
transcript.pyannote[639].end |
6702.96659375 |
transcript.pyannote[640].speaker |
SPEAKER_17 |
transcript.pyannote[640].start |
6701.81909375 |
transcript.pyannote[640].end |
6702.07221875 |
transcript.pyannote[641].speaker |
SPEAKER_06 |
transcript.pyannote[641].start |
6704.85659375 |
transcript.pyannote[641].end |
6707.53971875 |
transcript.pyannote[642].speaker |
SPEAKER_06 |
transcript.pyannote[642].start |
6707.77596875 |
transcript.pyannote[642].end |
6712.02846875 |
transcript.pyannote[643].speaker |
SPEAKER_24 |
transcript.pyannote[643].start |
6728.36346875 |
transcript.pyannote[643].end |
6730.30409375 |
transcript.pyannote[644].speaker |
SPEAKER_06 |
transcript.pyannote[644].start |
6730.54034375 |
transcript.pyannote[644].end |
6731.40096875 |
transcript.pyannote[645].speaker |
SPEAKER_16 |
transcript.pyannote[645].start |
6738.18471875 |
transcript.pyannote[645].end |
6739.02846875 |
transcript.pyannote[646].speaker |
SPEAKER_24 |
transcript.pyannote[646].start |
6739.18034375 |
transcript.pyannote[646].end |
6739.70346875 |
transcript.pyannote[647].speaker |
SPEAKER_24 |
transcript.pyannote[647].start |
6740.41221875 |
transcript.pyannote[647].end |
6744.15846875 |
transcript.pyannote[648].speaker |
SPEAKER_24 |
transcript.pyannote[648].start |
6744.51284375 |
transcript.pyannote[648].end |
6747.90471875 |
transcript.pyannote[649].speaker |
SPEAKER_24 |
transcript.pyannote[649].start |
6748.09034375 |
transcript.pyannote[649].end |
6764.66159375 |
transcript.pyannote[650].speaker |
SPEAKER_17 |
transcript.pyannote[650].start |
6765.43784375 |
transcript.pyannote[650].end |
6787.91534375 |
transcript.pyannote[651].speaker |
SPEAKER_24 |
transcript.pyannote[651].start |
6787.42596875 |
transcript.pyannote[651].end |
6789.45096875 |
transcript.pyannote[652].speaker |
SPEAKER_24 |
transcript.pyannote[652].start |
6789.97409375 |
transcript.pyannote[652].end |
6802.22534375 |
transcript.pyannote[653].speaker |
SPEAKER_24 |
transcript.pyannote[653].start |
6803.44034375 |
transcript.pyannote[653].end |
6814.74659375 |
transcript.pyannote[654].speaker |
SPEAKER_24 |
transcript.pyannote[654].start |
6815.37096875 |
transcript.pyannote[654].end |
6815.96159375 |
transcript.pyannote[655].speaker |
SPEAKER_24 |
transcript.pyannote[655].start |
6816.67034375 |
transcript.pyannote[655].end |
6828.48284375 |
transcript.pyannote[656].speaker |
SPEAKER_17 |
transcript.pyannote[656].start |
6828.48284375 |
transcript.pyannote[656].end |
6828.49971875 |
transcript.pyannote[657].speaker |
SPEAKER_24 |
transcript.pyannote[657].start |
6829.71471875 |
transcript.pyannote[657].end |
6829.96784375 |
transcript.pyannote[658].speaker |
SPEAKER_17 |
transcript.pyannote[658].start |
6829.96784375 |
transcript.pyannote[658].end |
6832.60034375 |
transcript.pyannote[659].speaker |
SPEAKER_17 |
transcript.pyannote[659].start |
6833.05596875 |
transcript.pyannote[659].end |
6851.04471875 |
transcript.pyannote[660].speaker |
SPEAKER_24 |
transcript.pyannote[660].start |
6851.04471875 |
transcript.pyannote[660].end |
6851.07846875 |
transcript.pyannote[661].speaker |
SPEAKER_22 |
transcript.pyannote[661].start |
6851.07846875 |
transcript.pyannote[661].end |
6851.43284375 |
transcript.pyannote[662].speaker |
SPEAKER_17 |
transcript.pyannote[662].start |
6851.43284375 |
transcript.pyannote[662].end |
6852.02346875 |
transcript.pyannote[663].speaker |
SPEAKER_24 |
transcript.pyannote[663].start |
6852.02346875 |
transcript.pyannote[663].end |
6853.18784375 |
transcript.pyannote[664].speaker |
SPEAKER_24 |
transcript.pyannote[664].start |
6853.71096875 |
transcript.pyannote[664].end |
6863.51534375 |
transcript.pyannote[665].speaker |
SPEAKER_22 |
transcript.pyannote[665].start |
6857.54159375 |
transcript.pyannote[665].end |
6857.55846875 |
transcript.pyannote[666].speaker |
SPEAKER_16 |
transcript.pyannote[666].start |
6857.55846875 |
transcript.pyannote[666].end |
6860.76471875 |
transcript.pyannote[667].speaker |
SPEAKER_16 |
transcript.pyannote[667].start |
6863.51534375 |
transcript.pyannote[667].end |
6863.97096875 |
transcript.pyannote[668].speaker |
SPEAKER_24 |
transcript.pyannote[668].start |
6863.97096875 |
transcript.pyannote[668].end |
6880.69409375 |
transcript.pyannote[669].speaker |
SPEAKER_24 |
transcript.pyannote[669].start |
6880.99784375 |
transcript.pyannote[669].end |
6883.54596875 |
transcript.pyannote[670].speaker |
SPEAKER_24 |
transcript.pyannote[670].start |
6884.18721875 |
transcript.pyannote[670].end |
6889.80659375 |
transcript.pyannote[671].speaker |
SPEAKER_24 |
transcript.pyannote[671].start |
6890.14409375 |
transcript.pyannote[671].end |
6890.66721875 |
transcript.pyannote[672].speaker |
SPEAKER_24 |
transcript.pyannote[672].start |
6891.49409375 |
transcript.pyannote[672].end |
6892.00034375 |
transcript.pyannote[673].speaker |
SPEAKER_24 |
transcript.pyannote[673].start |
6892.69221875 |
transcript.pyannote[673].end |
6896.91096875 |
transcript.pyannote[674].speaker |
SPEAKER_24 |
transcript.pyannote[674].start |
6897.51846875 |
transcript.pyannote[674].end |
6899.17221875 |
transcript.pyannote[675].speaker |
SPEAKER_24 |
transcript.pyannote[675].start |
6899.45909375 |
transcript.pyannote[675].end |
6905.68596875 |
transcript.pyannote[676].speaker |
SPEAKER_24 |
transcript.pyannote[676].start |
6905.97284375 |
transcript.pyannote[676].end |
6907.27221875 |
transcript.pyannote[677].speaker |
SPEAKER_24 |
transcript.pyannote[677].start |
6907.32284375 |
transcript.pyannote[677].end |
6909.41534375 |
transcript.pyannote[678].speaker |
SPEAKER_24 |
transcript.pyannote[678].start |
6909.78659375 |
transcript.pyannote[678].end |
6910.47846875 |
transcript.pyannote[679].speaker |
SPEAKER_24 |
transcript.pyannote[679].start |
6910.84971875 |
transcript.pyannote[679].end |
6913.07721875 |
transcript.pyannote[680].speaker |
SPEAKER_24 |
transcript.pyannote[680].start |
6913.75221875 |
transcript.pyannote[680].end |
6925.04159375 |
transcript.pyannote[681].speaker |
SPEAKER_24 |
transcript.pyannote[681].start |
6925.31159375 |
transcript.pyannote[681].end |
6926.81346875 |
transcript.pyannote[682].speaker |
SPEAKER_24 |
transcript.pyannote[682].start |
6927.45471875 |
transcript.pyannote[682].end |
6928.43346875 |
transcript.pyannote[683].speaker |
SPEAKER_17 |
transcript.pyannote[683].start |
6929.05784375 |
transcript.pyannote[683].end |
6989.63909375 |
transcript.pyannote[684].speaker |
SPEAKER_24 |
transcript.pyannote[684].start |
6989.63909375 |
transcript.pyannote[684].end |
6989.92596875 |
transcript.pyannote[685].speaker |
SPEAKER_24 |
transcript.pyannote[685].start |
6990.33096875 |
transcript.pyannote[685].end |
6992.05221875 |
transcript.pyannote[686].speaker |
SPEAKER_24 |
transcript.pyannote[686].start |
6992.27159375 |
transcript.pyannote[686].end |
6995.73096875 |
transcript.pyannote[687].speaker |
SPEAKER_24 |
transcript.pyannote[687].start |
6995.88284375 |
transcript.pyannote[687].end |
7000.38846875 |
transcript.pyannote[688].speaker |
SPEAKER_24 |
transcript.pyannote[688].start |
7000.60784375 |
transcript.pyannote[688].end |
7012.36971875 |
transcript.pyannote[689].speaker |
SPEAKER_24 |
transcript.pyannote[689].start |
7012.67346875 |
transcript.pyannote[689].end |
7014.52971875 |
transcript.pyannote[690].speaker |
SPEAKER_24 |
transcript.pyannote[690].start |
7014.66471875 |
transcript.pyannote[690].end |
7015.33971875 |
transcript.pyannote[691].speaker |
SPEAKER_24 |
transcript.pyannote[691].start |
7015.86284375 |
transcript.pyannote[691].end |
7017.71909375 |
transcript.pyannote[692].speaker |
SPEAKER_24 |
transcript.pyannote[692].start |
7018.17471875 |
transcript.pyannote[692].end |
7018.57971875 |
transcript.pyannote[693].speaker |
SPEAKER_24 |
transcript.pyannote[693].start |
7019.33909375 |
transcript.pyannote[693].end |
7022.49471875 |
transcript.pyannote[694].speaker |
SPEAKER_24 |
transcript.pyannote[694].start |
7022.69721875 |
transcript.pyannote[694].end |
7026.98346875 |
transcript.pyannote[695].speaker |
SPEAKER_24 |
transcript.pyannote[695].start |
7027.43909375 |
transcript.pyannote[695].end |
7028.90721875 |
transcript.pyannote[696].speaker |
SPEAKER_24 |
transcript.pyannote[696].start |
7029.32909375 |
transcript.pyannote[696].end |
7029.90284375 |
transcript.pyannote[697].speaker |
SPEAKER_24 |
transcript.pyannote[697].start |
7031.53971875 |
transcript.pyannote[697].end |
7035.62346875 |
transcript.pyannote[698].speaker |
SPEAKER_24 |
transcript.pyannote[698].start |
7036.18034375 |
transcript.pyannote[698].end |
7037.10846875 |
transcript.pyannote[699].speaker |
SPEAKER_24 |
transcript.pyannote[699].start |
7037.24346875 |
transcript.pyannote[699].end |
7074.31784375 |
transcript.pyannote[700].speaker |
SPEAKER_24 |
transcript.pyannote[700].start |
7074.94221875 |
transcript.pyannote[700].end |
7076.86596875 |
transcript.pyannote[701].speaker |
SPEAKER_24 |
transcript.pyannote[701].start |
7077.15284375 |
transcript.pyannote[701].end |
7079.31284375 |
transcript.pyannote[702].speaker |
SPEAKER_24 |
transcript.pyannote[702].start |
7079.54909375 |
transcript.pyannote[702].end |
7082.02971875 |
transcript.pyannote[703].speaker |
SPEAKER_24 |
transcript.pyannote[703].start |
7082.26596875 |
transcript.pyannote[703].end |
7086.13034375 |
transcript.pyannote[704].speaker |
SPEAKER_24 |
transcript.pyannote[704].start |
7086.28221875 |
transcript.pyannote[704].end |
7088.03721875 |
transcript.pyannote[705].speaker |
SPEAKER_24 |
transcript.pyannote[705].start |
7088.56034375 |
transcript.pyannote[705].end |
7088.98221875 |
transcript.pyannote[706].speaker |
SPEAKER_24 |
transcript.pyannote[706].start |
7089.38721875 |
transcript.pyannote[706].end |
7098.28034375 |
transcript.pyannote[707].speaker |
SPEAKER_24 |
transcript.pyannote[707].start |
7098.82034375 |
transcript.pyannote[707].end |
7110.58221875 |
transcript.pyannote[708].speaker |
SPEAKER_24 |
transcript.pyannote[708].start |
7111.03784375 |
transcript.pyannote[708].end |
7112.70846875 |
transcript.pyannote[709].speaker |
SPEAKER_24 |
transcript.pyannote[709].start |
7113.33284375 |
transcript.pyannote[709].end |
7126.25909375 |
transcript.pyannote[710].speaker |
SPEAKER_24 |
transcript.pyannote[710].start |
7126.32659375 |
transcript.pyannote[710].end |
7126.84971875 |
transcript.pyannote[711].speaker |
SPEAKER_17 |
transcript.pyannote[711].start |
7127.86221875 |
transcript.pyannote[711].end |
7235.52471875 |
transcript.pyannote[712].speaker |
SPEAKER_24 |
transcript.pyannote[712].start |
7235.42346875 |
transcript.pyannote[712].end |
7238.25846875 |
transcript.pyannote[713].speaker |
SPEAKER_24 |
transcript.pyannote[713].start |
7238.52846875 |
transcript.pyannote[713].end |
7246.62846875 |
transcript.pyannote[714].speaker |
SPEAKER_24 |
transcript.pyannote[714].start |
7246.79721875 |
transcript.pyannote[714].end |
7254.22221875 |
transcript.pyannote[715].speaker |
SPEAKER_24 |
transcript.pyannote[715].start |
7254.32346875 |
transcript.pyannote[715].end |
7268.32971875 |
transcript.pyannote[716].speaker |
SPEAKER_24 |
transcript.pyannote[716].start |
7268.70096875 |
transcript.pyannote[716].end |
7289.47409375 |
transcript.pyannote[717].speaker |
SPEAKER_17 |
transcript.pyannote[717].start |
7290.33471875 |
transcript.pyannote[717].end |
7320.35534375 |
transcript.pyannote[718].speaker |
SPEAKER_24 |
transcript.pyannote[718].start |
7320.35534375 |
transcript.pyannote[718].end |
7329.02909375 |
transcript.pyannote[719].speaker |
SPEAKER_17 |
transcript.pyannote[719].start |
7320.67596875 |
transcript.pyannote[719].end |
7320.87846875 |
transcript.pyannote[720].speaker |
SPEAKER_17 |
transcript.pyannote[720].start |
7329.02909375 |
transcript.pyannote[720].end |
7333.80471875 |
transcript.pyannote[721].speaker |
SPEAKER_02 |
transcript.pyannote[721].start |
7337.77034375 |
transcript.pyannote[721].end |
7341.98909375 |
transcript.pyannote[722].speaker |
SPEAKER_06 |
transcript.pyannote[722].start |
7353.31221875 |
transcript.pyannote[722].end |
7354.81409375 |
transcript.pyannote[723].speaker |
SPEAKER_02 |
transcript.pyannote[723].start |
7355.43846875 |
transcript.pyannote[723].end |
7356.46784375 |
transcript.pyannote[724].speaker |
SPEAKER_06 |
transcript.pyannote[724].start |
7363.15034375 |
transcript.pyannote[724].end |
7380.86909375 |
transcript.pyannote[725].speaker |
SPEAKER_06 |
transcript.pyannote[725].start |
7380.90284375 |
transcript.pyannote[725].end |
7396.90034375 |
transcript.pyannote[726].speaker |
SPEAKER_06 |
transcript.pyannote[726].start |
7397.10284375 |
transcript.pyannote[726].end |
7403.00909375 |
transcript.pyannote[727].speaker |
SPEAKER_06 |
transcript.pyannote[727].start |
7403.38034375 |
transcript.pyannote[727].end |
7406.28284375 |
transcript.pyannote[728].speaker |
SPEAKER_06 |
transcript.pyannote[728].start |
7406.63721875 |
transcript.pyannote[728].end |
7421.14971875 |
transcript.pyannote[729].speaker |
SPEAKER_06 |
transcript.pyannote[729].start |
7421.31846875 |
transcript.pyannote[729].end |
7422.22971875 |
transcript.pyannote[730].speaker |
SPEAKER_06 |
transcript.pyannote[730].start |
7422.92159375 |
transcript.pyannote[730].end |
7424.52471875 |
transcript.pyannote[731].speaker |
SPEAKER_06 |
transcript.pyannote[731].start |
7424.89596875 |
transcript.pyannote[731].end |
7425.57096875 |
transcript.pyannote[732].speaker |
SPEAKER_22 |
transcript.pyannote[732].start |
7425.70596875 |
transcript.pyannote[732].end |
7426.06034375 |
transcript.pyannote[733].speaker |
SPEAKER_06 |
transcript.pyannote[733].start |
7426.04346875 |
transcript.pyannote[733].end |
7432.32096875 |
transcript.pyannote[734].speaker |
SPEAKER_17 |
transcript.pyannote[734].start |
7432.32096875 |
transcript.pyannote[734].end |
7434.17721875 |
transcript.pyannote[735].speaker |
SPEAKER_17 |
transcript.pyannote[735].start |
7434.54846875 |
transcript.pyannote[735].end |
7436.96159375 |
transcript.pyannote[736].speaker |
SPEAKER_06 |
transcript.pyannote[736].start |
7436.25284375 |
transcript.pyannote[736].end |
7441.34909375 |
transcript.pyannote[737].speaker |
SPEAKER_17 |
transcript.pyannote[737].start |
7440.69096875 |
transcript.pyannote[737].end |
7446.25971875 |
transcript.pyannote[738].speaker |
SPEAKER_06 |
transcript.pyannote[738].start |
7441.77096875 |
transcript.pyannote[738].end |
7442.07471875 |
transcript.pyannote[739].speaker |
SPEAKER_06 |
transcript.pyannote[739].start |
7447.20471875 |
transcript.pyannote[739].end |
7448.87534375 |
transcript.pyannote[740].speaker |
SPEAKER_17 |
transcript.pyannote[740].start |
7448.50409375 |
transcript.pyannote[740].end |
7460.33346875 |
transcript.pyannote[741].speaker |
SPEAKER_06 |
transcript.pyannote[741].start |
7460.33346875 |
transcript.pyannote[741].end |
7463.08409375 |
transcript.pyannote[742].speaker |
SPEAKER_06 |
transcript.pyannote[742].start |
7464.83909375 |
transcript.pyannote[742].end |
7472.36534375 |
transcript.pyannote[743].speaker |
SPEAKER_06 |
transcript.pyannote[743].start |
7472.66909375 |
transcript.pyannote[743].end |
7475.57159375 |
transcript.pyannote[744].speaker |
SPEAKER_06 |
transcript.pyannote[744].start |
7476.31409375 |
transcript.pyannote[744].end |
7476.82034375 |
transcript.pyannote[745].speaker |
SPEAKER_06 |
transcript.pyannote[745].start |
7477.02284375 |
transcript.pyannote[745].end |
7483.65471875 |
transcript.pyannote[746].speaker |
SPEAKER_17 |
transcript.pyannote[746].start |
7484.31284375 |
transcript.pyannote[746].end |
7497.88034375 |
transcript.pyannote[747].speaker |
SPEAKER_17 |
transcript.pyannote[747].start |
7498.33596875 |
transcript.pyannote[747].end |
7503.06096875 |
transcript.pyannote[748].speaker |
SPEAKER_17 |
transcript.pyannote[748].start |
7503.14534375 |
transcript.pyannote[748].end |
7505.76096875 |
transcript.pyannote[749].speaker |
SPEAKER_06 |
transcript.pyannote[749].start |
7503.83721875 |
transcript.pyannote[749].end |
7504.57971875 |
transcript.pyannote[750].speaker |
SPEAKER_06 |
transcript.pyannote[750].start |
7505.57534375 |
transcript.pyannote[750].end |
7507.43159375 |
transcript.pyannote[751].speaker |
SPEAKER_17 |
transcript.pyannote[751].start |
7507.31346875 |
transcript.pyannote[751].end |
7518.02909375 |
transcript.pyannote[752].speaker |
SPEAKER_17 |
transcript.pyannote[752].start |
7518.65346875 |
transcript.pyannote[752].end |
7554.00659375 |
transcript.pyannote[753].speaker |
SPEAKER_08 |
transcript.pyannote[753].start |
7528.27221875 |
transcript.pyannote[753].end |
7528.82909375 |
transcript.pyannote[754].speaker |
SPEAKER_06 |
transcript.pyannote[754].start |
7528.82909375 |
transcript.pyannote[754].end |
7528.84596875 |
transcript.pyannote[755].speaker |
SPEAKER_06 |
transcript.pyannote[755].start |
7553.46659375 |
transcript.pyannote[755].end |
7572.80534375 |
transcript.pyannote[756].speaker |
SPEAKER_17 |
transcript.pyannote[756].start |
7557.26346875 |
transcript.pyannote[756].end |
7557.76971875 |
transcript.pyannote[757].speaker |
SPEAKER_05 |
transcript.pyannote[757].start |
7562.73096875 |
transcript.pyannote[757].end |
7563.18659375 |
transcript.pyannote[758].speaker |
SPEAKER_06 |
transcript.pyannote[758].start |
7572.92346875 |
transcript.pyannote[758].end |
7611.56721875 |
transcript.pyannote[759].speaker |
SPEAKER_06 |
transcript.pyannote[759].start |
7611.83721875 |
transcript.pyannote[759].end |
7614.03096875 |
transcript.pyannote[760].speaker |
SPEAKER_06 |
transcript.pyannote[760].start |
7614.77346875 |
transcript.pyannote[760].end |
7622.26596875 |
transcript.pyannote[761].speaker |
SPEAKER_06 |
transcript.pyannote[761].start |
7622.50221875 |
transcript.pyannote[761].end |
7640.33909375 |
transcript.pyannote[762].speaker |
SPEAKER_06 |
transcript.pyannote[762].start |
7640.92971875 |
transcript.pyannote[762].end |
7671.54096875 |
transcript.pyannote[763].speaker |
SPEAKER_06 |
transcript.pyannote[763].start |
7672.13159375 |
transcript.pyannote[763].end |
7675.11846875 |
transcript.pyannote[764].speaker |
SPEAKER_06 |
transcript.pyannote[764].start |
7675.48971875 |
transcript.pyannote[764].end |
7679.37096875 |
transcript.pyannote[765].speaker |
SPEAKER_06 |
transcript.pyannote[765].start |
7679.84346875 |
transcript.pyannote[765].end |
7688.60159375 |
transcript.pyannote[766].speaker |
SPEAKER_17 |
transcript.pyannote[766].start |
7688.92221875 |
transcript.pyannote[766].end |
7754.73471875 |
transcript.pyannote[767].speaker |
SPEAKER_06 |
transcript.pyannote[767].start |
7753.92471875 |
transcript.pyannote[767].end |
7756.25346875 |
transcript.pyannote[768].speaker |
SPEAKER_06 |
transcript.pyannote[768].start |
7756.35471875 |
transcript.pyannote[768].end |
7761.63659375 |
transcript.pyannote[769].speaker |
SPEAKER_17 |
transcript.pyannote[769].start |
7760.67471875 |
transcript.pyannote[769].end |
7762.80096875 |
transcript.pyannote[770].speaker |
SPEAKER_06 |
transcript.pyannote[770].start |
7761.90659375 |
transcript.pyannote[770].end |
7769.78721875 |
transcript.pyannote[771].speaker |
SPEAKER_17 |
transcript.pyannote[771].start |
7768.38659375 |
transcript.pyannote[771].end |
7771.05284375 |
transcript.pyannote[772].speaker |
SPEAKER_06 |
transcript.pyannote[772].start |
7770.14159375 |
transcript.pyannote[772].end |
7776.06471875 |
transcript.pyannote[773].speaker |
SPEAKER_16 |
transcript.pyannote[773].start |
7771.05284375 |
transcript.pyannote[773].end |
7771.15409375 |
transcript.pyannote[774].speaker |
SPEAKER_06 |
transcript.pyannote[774].start |
7776.41909375 |
transcript.pyannote[774].end |
7779.35534375 |
transcript.pyannote[775].speaker |
SPEAKER_02 |
transcript.pyannote[775].start |
7779.35534375 |
transcript.pyannote[775].end |
7779.57471875 |
transcript.pyannote[776].speaker |
SPEAKER_06 |
transcript.pyannote[776].start |
7779.57471875 |
transcript.pyannote[776].end |
7820.39534375 |
transcript.pyannote[777].speaker |
SPEAKER_02 |
transcript.pyannote[777].start |
7779.59159375 |
transcript.pyannote[777].end |
7779.65909375 |
transcript.pyannote[778].speaker |
SPEAKER_06 |
transcript.pyannote[778].start |
7821.44159375 |
transcript.pyannote[778].end |
7825.10346875 |
transcript.pyannote[779].speaker |
SPEAKER_17 |
transcript.pyannote[779].start |
7827.01034375 |
transcript.pyannote[779].end |
7829.38971875 |
transcript.pyannote[780].speaker |
SPEAKER_17 |
transcript.pyannote[780].start |
7830.04784375 |
transcript.pyannote[780].end |
7839.93659375 |
transcript.pyannote[781].speaker |
SPEAKER_06 |
transcript.pyannote[781].start |
7839.93659375 |
transcript.pyannote[781].end |
7842.40034375 |
transcript.pyannote[782].speaker |
SPEAKER_17 |
transcript.pyannote[782].start |
7841.08409375 |
transcript.pyannote[782].end |
7858.81971875 |
transcript.pyannote[783].speaker |
SPEAKER_06 |
transcript.pyannote[783].start |
7858.88721875 |
transcript.pyannote[783].end |
7867.25721875 |
transcript.pyannote[784].speaker |
SPEAKER_06 |
transcript.pyannote[784].start |
7868.28659375 |
transcript.pyannote[784].end |
7873.60221875 |
transcript.pyannote[785].speaker |
SPEAKER_06 |
transcript.pyannote[785].start |
7874.24346875 |
transcript.pyannote[785].end |
7879.25534375 |
transcript.pyannote[786].speaker |
SPEAKER_06 |
transcript.pyannote[786].start |
7879.37346875 |
transcript.pyannote[786].end |
7885.61721875 |
transcript.pyannote[787].speaker |
SPEAKER_06 |
transcript.pyannote[787].start |
7885.97159375 |
transcript.pyannote[787].end |
7887.52409375 |
transcript.pyannote[788].speaker |
SPEAKER_06 |
transcript.pyannote[788].start |
7888.43534375 |
transcript.pyannote[788].end |
7956.64409375 |
transcript.pyannote[789].speaker |
SPEAKER_06 |
transcript.pyannote[789].start |
7957.30221875 |
transcript.pyannote[789].end |
7962.06096875 |
transcript.pyannote[790].speaker |
SPEAKER_06 |
transcript.pyannote[790].start |
7963.07346875 |
transcript.pyannote[790].end |
7963.95096875 |
transcript.pyannote[791].speaker |
SPEAKER_06 |
transcript.pyannote[791].start |
7964.17034375 |
transcript.pyannote[791].end |
7972.81034375 |
transcript.pyannote[792].speaker |
SPEAKER_06 |
transcript.pyannote[792].start |
7973.36721875 |
transcript.pyannote[792].end |
7986.47909375 |
transcript.pyannote[793].speaker |
SPEAKER_06 |
transcript.pyannote[793].start |
7987.23846875 |
transcript.pyannote[793].end |
7990.68096875 |
transcript.pyannote[794].speaker |
SPEAKER_06 |
transcript.pyannote[794].start |
7991.20409375 |
transcript.pyannote[794].end |
7991.30534375 |
transcript.pyannote[795].speaker |
SPEAKER_06 |
transcript.pyannote[795].start |
7991.54159375 |
transcript.pyannote[795].end |
7994.42721875 |
transcript.pyannote[796].speaker |
SPEAKER_06 |
transcript.pyannote[796].start |
7994.83221875 |
transcript.pyannote[796].end |
7999.94534375 |
transcript.pyannote[797].speaker |
SPEAKER_17 |
transcript.pyannote[797].start |
7999.25346875 |
transcript.pyannote[797].end |
8001.29534375 |
transcript.pyannote[798].speaker |
SPEAKER_17 |
transcript.pyannote[798].start |
8001.32909375 |
transcript.pyannote[798].end |
8001.34596875 |
transcript.pyannote[799].speaker |
SPEAKER_14 |
transcript.pyannote[799].start |
8001.34596875 |
transcript.pyannote[799].end |
8008.77096875 |
transcript.pyannote[800].speaker |
SPEAKER_17 |
transcript.pyannote[800].start |
8002.89846875 |
transcript.pyannote[800].end |
8002.91534375 |
transcript.pyannote[801].speaker |
SPEAKER_06 |
transcript.pyannote[801].start |
8002.91534375 |
transcript.pyannote[801].end |
8002.96596875 |
transcript.pyannote[802].speaker |
SPEAKER_17 |
transcript.pyannote[802].start |
8002.96596875 |
transcript.pyannote[802].end |
8003.03346875 |
transcript.pyannote[803].speaker |
SPEAKER_06 |
transcript.pyannote[803].start |
8003.03346875 |
transcript.pyannote[803].end |
8003.55659375 |
transcript.pyannote[804].speaker |
SPEAKER_17 |
transcript.pyannote[804].start |
8003.55659375 |
transcript.pyannote[804].end |
8003.59034375 |
transcript.pyannote[805].speaker |
SPEAKER_06 |
transcript.pyannote[805].start |
8003.59034375 |
transcript.pyannote[805].end |
8003.60721875 |
transcript.pyannote[806].speaker |
SPEAKER_14 |
transcript.pyannote[806].start |
8009.10846875 |
transcript.pyannote[806].end |
8009.14221875 |
transcript.pyannote[807].speaker |
SPEAKER_06 |
transcript.pyannote[807].start |
8009.14221875 |
transcript.pyannote[807].end |
8009.59784375 |
transcript.pyannote[808].speaker |
SPEAKER_14 |
transcript.pyannote[808].start |
8009.59784375 |
transcript.pyannote[808].end |
8009.96909375 |
transcript.pyannote[809].speaker |
SPEAKER_06 |
transcript.pyannote[809].start |
8009.96909375 |
transcript.pyannote[809].end |
8010.03659375 |
transcript.pyannote[810].speaker |
SPEAKER_14 |
transcript.pyannote[810].start |
8010.03659375 |
transcript.pyannote[810].end |
8010.99846875 |
transcript.pyannote[811].speaker |
SPEAKER_06 |
transcript.pyannote[811].start |
8010.99846875 |
transcript.pyannote[811].end |
8015.03159375 |
transcript.pyannote[812].speaker |
SPEAKER_14 |
transcript.pyannote[812].start |
8016.07784375 |
transcript.pyannote[812].end |
8021.05596875 |
transcript.pyannote[813].speaker |
SPEAKER_06 |
transcript.pyannote[813].start |
8017.98471875 |
transcript.pyannote[813].end |
8018.32221875 |
transcript.pyannote[814].speaker |
SPEAKER_06 |
transcript.pyannote[814].start |
8020.61721875 |
transcript.pyannote[814].end |
8034.45471875 |
transcript.pyannote[815].speaker |
SPEAKER_06 |
transcript.pyannote[815].start |
8034.96096875 |
transcript.pyannote[815].end |
8038.70721875 |
transcript.pyannote[816].speaker |
SPEAKER_06 |
transcript.pyannote[816].start |
8039.12909375 |
transcript.pyannote[816].end |
8040.20909375 |
transcript.pyannote[817].speaker |
SPEAKER_10 |
transcript.pyannote[817].start |
8040.12471875 |
transcript.pyannote[817].end |
8040.41159375 |
transcript.pyannote[818].speaker |
SPEAKER_06 |
transcript.pyannote[818].start |
8040.41159375 |
transcript.pyannote[818].end |
8046.11534375 |
transcript.pyannote[819].speaker |
SPEAKER_06 |
transcript.pyannote[819].start |
8046.41909375 |
transcript.pyannote[819].end |
8049.55784375 |
transcript.pyannote[820].speaker |
SPEAKER_29 |
transcript.pyannote[820].start |
8051.26221875 |
transcript.pyannote[820].end |
8055.29534375 |
transcript.pyannote[821].speaker |
SPEAKER_01 |
transcript.pyannote[821].start |
8065.15034375 |
transcript.pyannote[821].end |
8067.93471875 |
transcript.pyannote[822].speaker |
SPEAKER_06 |
transcript.pyannote[822].start |
8068.28909375 |
transcript.pyannote[822].end |
8069.14971875 |
transcript.pyannote[823].speaker |
SPEAKER_06 |
transcript.pyannote[823].start |
8074.87034375 |
transcript.pyannote[823].end |
8074.90409375 |
transcript.pyannote[824].speaker |
SPEAKER_16 |
transcript.pyannote[824].start |
8074.90409375 |
transcript.pyannote[824].end |
8075.69721875 |
transcript.pyannote[825].speaker |
SPEAKER_01 |
transcript.pyannote[825].start |
8075.59596875 |
transcript.pyannote[825].end |
8079.67971875 |
transcript.pyannote[826].speaker |
SPEAKER_01 |
transcript.pyannote[826].start |
8079.86534375 |
transcript.pyannote[826].end |
8089.16346875 |
transcript.pyannote[827].speaker |
SPEAKER_17 |
transcript.pyannote[827].start |
8089.77096875 |
transcript.pyannote[827].end |
8092.40346875 |
transcript.pyannote[828].speaker |
SPEAKER_01 |
transcript.pyannote[828].start |
8092.30221875 |
transcript.pyannote[828].end |
8093.50034375 |
transcript.pyannote[829].speaker |
SPEAKER_01 |
transcript.pyannote[829].start |
8093.87159375 |
transcript.pyannote[829].end |
8099.87909375 |
transcript.pyannote[830].speaker |
SPEAKER_01 |
transcript.pyannote[830].start |
8102.47784375 |
transcript.pyannote[830].end |
8104.16534375 |
transcript.pyannote[831].speaker |
SPEAKER_01 |
transcript.pyannote[831].start |
8104.72221875 |
transcript.pyannote[831].end |
8107.25346875 |
transcript.pyannote[832].speaker |
SPEAKER_01 |
transcript.pyannote[832].start |
8107.52346875 |
transcript.pyannote[832].end |
8109.49784375 |
transcript.pyannote[833].speaker |
SPEAKER_01 |
transcript.pyannote[833].start |
8109.75096875 |
transcript.pyannote[833].end |
8113.64909375 |
transcript.pyannote[834].speaker |
SPEAKER_01 |
transcript.pyannote[834].start |
8113.71659375 |
transcript.pyannote[834].end |
8137.17284375 |
transcript.pyannote[835].speaker |
SPEAKER_01 |
transcript.pyannote[835].start |
8137.22346875 |
transcript.pyannote[835].end |
8141.94846875 |
transcript.pyannote[836].speaker |
SPEAKER_17 |
transcript.pyannote[836].start |
8143.04534375 |
transcript.pyannote[836].end |
8143.55159375 |
transcript.pyannote[837].speaker |
SPEAKER_17 |
transcript.pyannote[837].start |
8143.72034375 |
transcript.pyannote[837].end |
8148.00659375 |
transcript.pyannote[838].speaker |
SPEAKER_01 |
transcript.pyannote[838].start |
8148.27659375 |
transcript.pyannote[838].end |
8149.54221875 |
transcript.pyannote[839].speaker |
SPEAKER_17 |
transcript.pyannote[839].start |
8150.13284375 |
transcript.pyannote[839].end |
8153.40659375 |
transcript.pyannote[840].speaker |
SPEAKER_01 |
transcript.pyannote[840].start |
8153.40659375 |
transcript.pyannote[840].end |
8155.17846875 |
transcript.pyannote[841].speaker |
SPEAKER_17 |
transcript.pyannote[841].start |
8155.68471875 |
transcript.pyannote[841].end |
8158.33409375 |
transcript.pyannote[842].speaker |
SPEAKER_17 |
transcript.pyannote[842].start |
8158.51971875 |
transcript.pyannote[842].end |
8159.88659375 |
transcript.pyannote[843].speaker |
SPEAKER_01 |
transcript.pyannote[843].start |
8160.35909375 |
transcript.pyannote[843].end |
8162.85659375 |
transcript.pyannote[844].speaker |
SPEAKER_01 |
transcript.pyannote[844].start |
8162.97471875 |
transcript.pyannote[844].end |
8164.59471875 |
transcript.pyannote[845].speaker |
SPEAKER_17 |
transcript.pyannote[845].start |
8162.99159375 |
transcript.pyannote[845].end |
8163.02534375 |
transcript.pyannote[846].speaker |
SPEAKER_16 |
transcript.pyannote[846].start |
8163.02534375 |
transcript.pyannote[846].end |
8163.46409375 |
transcript.pyannote[847].speaker |
SPEAKER_17 |
transcript.pyannote[847].start |
8163.46409375 |
transcript.pyannote[847].end |
8163.70034375 |
transcript.pyannote[848].speaker |
SPEAKER_16 |
transcript.pyannote[848].start |
8165.08409375 |
transcript.pyannote[848].end |
8165.80971875 |
transcript.pyannote[849].speaker |
SPEAKER_01 |
transcript.pyannote[849].start |
8166.28221875 |
transcript.pyannote[849].end |
8167.07534375 |
transcript.pyannote[850].speaker |
SPEAKER_01 |
transcript.pyannote[850].start |
8167.37909375 |
transcript.pyannote[850].end |
8186.65034375 |
transcript.pyannote[851].speaker |
SPEAKER_01 |
transcript.pyannote[851].start |
8186.81909375 |
transcript.pyannote[851].end |
8221.66596875 |
transcript.pyannote[852].speaker |
SPEAKER_01 |
transcript.pyannote[852].start |
8222.66159375 |
transcript.pyannote[852].end |
8233.02284375 |
transcript.pyannote[853].speaker |
SPEAKER_01 |
transcript.pyannote[853].start |
8233.19159375 |
transcript.pyannote[853].end |
8262.85784375 |
transcript.pyannote[854].speaker |
SPEAKER_01 |
transcript.pyannote[854].start |
8263.54971875 |
transcript.pyannote[854].end |
8288.15346875 |
transcript.pyannote[855].speaker |
SPEAKER_01 |
transcript.pyannote[855].start |
8288.40659375 |
transcript.pyannote[855].end |
8291.83221875 |
transcript.pyannote[856].speaker |
SPEAKER_17 |
transcript.pyannote[856].start |
8292.30471875 |
transcript.pyannote[856].end |
8309.48346875 |
transcript.pyannote[857].speaker |
SPEAKER_01 |
transcript.pyannote[857].start |
8308.40346875 |
transcript.pyannote[857].end |
8330.02034375 |
transcript.pyannote[858].speaker |
SPEAKER_01 |
transcript.pyannote[858].start |
8330.69534375 |
transcript.pyannote[858].end |
8354.15159375 |
transcript.pyannote[859].speaker |
SPEAKER_17 |
transcript.pyannote[859].start |
8354.75909375 |
transcript.pyannote[859].end |
8354.77596875 |
transcript.pyannote[860].speaker |
SPEAKER_28 |
transcript.pyannote[860].start |
8354.77596875 |
transcript.pyannote[860].end |
8354.89409375 |
transcript.pyannote[861].speaker |
SPEAKER_16 |
transcript.pyannote[861].start |
8354.89409375 |
transcript.pyannote[861].end |
8354.97846875 |
transcript.pyannote[862].speaker |
SPEAKER_28 |
transcript.pyannote[862].start |
8354.97846875 |
transcript.pyannote[862].end |
8354.99534375 |
transcript.pyannote[863].speaker |
SPEAKER_17 |
transcript.pyannote[863].start |
8354.99534375 |
transcript.pyannote[863].end |
8355.01221875 |
transcript.pyannote[864].speaker |
SPEAKER_17 |
transcript.pyannote[864].start |
8355.61971875 |
transcript.pyannote[864].end |
8355.65346875 |
transcript.pyannote[865].speaker |
SPEAKER_28 |
transcript.pyannote[865].start |
8355.65346875 |
transcript.pyannote[865].end |
8356.26096875 |
transcript.pyannote[866].speaker |
SPEAKER_28 |
transcript.pyannote[866].start |
8357.10471875 |
transcript.pyannote[866].end |
8363.07846875 |
transcript.pyannote[867].speaker |
SPEAKER_01 |
transcript.pyannote[867].start |
8360.86784375 |
transcript.pyannote[867].end |
8362.13346875 |
transcript.pyannote[868].speaker |
SPEAKER_01 |
transcript.pyannote[868].start |
8364.09096875 |
transcript.pyannote[868].end |
8364.54659375 |
transcript.pyannote[869].speaker |
SPEAKER_01 |
transcript.pyannote[869].start |
8365.33971875 |
transcript.pyannote[869].end |
8366.30159375 |
transcript.pyannote[870].speaker |
SPEAKER_28 |
transcript.pyannote[870].start |
8367.98909375 |
transcript.pyannote[870].end |
8370.48659375 |
transcript.pyannote[871].speaker |
SPEAKER_01 |
transcript.pyannote[871].start |
8368.68096875 |
transcript.pyannote[871].end |
8405.09721875 |
transcript.pyannote[872].speaker |
SPEAKER_01 |
transcript.pyannote[872].start |
8405.28284375 |
transcript.pyannote[872].end |
8407.67909375 |
transcript.pyannote[873].speaker |
SPEAKER_01 |
transcript.pyannote[873].start |
8407.84784375 |
transcript.pyannote[873].end |
8437.91909375 |
transcript.pyannote[874].speaker |
SPEAKER_28 |
transcript.pyannote[874].start |
8439.37034375 |
transcript.pyannote[874].end |
8446.08659375 |
transcript.pyannote[875].speaker |
SPEAKER_01 |
transcript.pyannote[875].start |
8444.33159375 |
transcript.pyannote[875].end |
8458.55721875 |
transcript.pyannote[876].speaker |
SPEAKER_28 |
transcript.pyannote[876].start |
8446.23846875 |
transcript.pyannote[876].end |
8446.39034375 |
transcript.pyannote[877].speaker |
SPEAKER_28 |
transcript.pyannote[877].start |
8446.40721875 |
transcript.pyannote[877].end |
8446.42409375 |
transcript.pyannote[878].speaker |
SPEAKER_01 |
transcript.pyannote[878].start |
8459.04659375 |
transcript.pyannote[878].end |
8490.33284375 |
transcript.pyannote[879].speaker |
SPEAKER_17 |
transcript.pyannote[879].start |
8490.95721875 |
transcript.pyannote[879].end |
8513.46846875 |
transcript.pyannote[880].speaker |
SPEAKER_00 |
transcript.pyannote[880].start |
8507.00534375 |
transcript.pyannote[880].end |
8507.03909375 |
transcript.pyannote[881].speaker |
SPEAKER_01 |
transcript.pyannote[881].start |
8507.03909375 |
transcript.pyannote[881].end |
8508.60846875 |
transcript.pyannote[882].speaker |
SPEAKER_01 |
transcript.pyannote[882].start |
8509.78971875 |
transcript.pyannote[882].end |
8557.22534375 |
transcript.pyannote[883].speaker |
SPEAKER_17 |
transcript.pyannote[883].start |
8557.52909375 |
transcript.pyannote[883].end |
8560.16159375 |
transcript.pyannote[884].speaker |
SPEAKER_01 |
transcript.pyannote[884].start |
8559.25034375 |
transcript.pyannote[884].end |
8559.82409375 |
transcript.pyannote[885].speaker |
SPEAKER_01 |
transcript.pyannote[885].start |
8559.95909375 |
transcript.pyannote[885].end |
8569.57784375 |
transcript.pyannote[886].speaker |
SPEAKER_01 |
transcript.pyannote[886].start |
8570.06721875 |
transcript.pyannote[886].end |
8573.74596875 |
transcript.pyannote[887].speaker |
SPEAKER_01 |
transcript.pyannote[887].start |
8574.10034375 |
transcript.pyannote[887].end |
8578.72409375 |
transcript.pyannote[888].speaker |
SPEAKER_01 |
transcript.pyannote[888].start |
8578.82534375 |
transcript.pyannote[888].end |
8582.68971875 |
transcript.pyannote[889].speaker |
SPEAKER_08 |
transcript.pyannote[889].start |
8583.39846875 |
transcript.pyannote[889].end |
8583.97221875 |
transcript.pyannote[890].speaker |
SPEAKER_01 |
transcript.pyannote[890].start |
8583.66846875 |
transcript.pyannote[890].end |
8596.96596875 |
transcript.pyannote[891].speaker |
SPEAKER_17 |
transcript.pyannote[891].start |
8595.80159375 |
transcript.pyannote[891].end |
8599.81784375 |
transcript.pyannote[892].speaker |
SPEAKER_01 |
transcript.pyannote[892].start |
8599.86846875 |
transcript.pyannote[892].end |
8616.28784375 |
transcript.pyannote[893].speaker |
SPEAKER_22 |
transcript.pyannote[893].start |
8616.28784375 |
transcript.pyannote[893].end |
8616.67596875 |
transcript.pyannote[894].speaker |
SPEAKER_01 |
transcript.pyannote[894].start |
8616.67596875 |
transcript.pyannote[894].end |
8623.98284375 |
transcript.pyannote[895].speaker |
SPEAKER_01 |
transcript.pyannote[895].start |
8624.20221875 |
transcript.pyannote[895].end |
8625.09659375 |
transcript.pyannote[896].speaker |
SPEAKER_01 |
transcript.pyannote[896].start |
8625.92346875 |
transcript.pyannote[896].end |
8631.27284375 |
transcript.pyannote[897].speaker |
SPEAKER_01 |
transcript.pyannote[897].start |
8631.37409375 |
transcript.pyannote[897].end |
8636.26784375 |
transcript.pyannote[898].speaker |
SPEAKER_01 |
transcript.pyannote[898].start |
8637.07784375 |
transcript.pyannote[898].end |
8639.27159375 |
transcript.pyannote[899].speaker |
SPEAKER_01 |
transcript.pyannote[899].start |
8640.11534375 |
transcript.pyannote[899].end |
8643.59159375 |
transcript.pyannote[900].speaker |
SPEAKER_01 |
transcript.pyannote[900].start |
8644.21596875 |
transcript.pyannote[900].end |
8662.30596875 |
transcript.pyannote[901].speaker |
SPEAKER_01 |
transcript.pyannote[901].start |
8662.99784375 |
transcript.pyannote[901].end |
8675.85659375 |
transcript.pyannote[902].speaker |
SPEAKER_06 |
transcript.pyannote[902].start |
8677.00409375 |
transcript.pyannote[902].end |
8678.96159375 |
transcript.pyannote[903].speaker |
SPEAKER_17 |
transcript.pyannote[903].start |
8678.67471875 |
transcript.pyannote[903].end |
8684.07471875 |
transcript.pyannote[904].speaker |
SPEAKER_17 |
transcript.pyannote[904].start |
8684.10846875 |
transcript.pyannote[904].end |
8684.12534375 |
transcript.pyannote[905].speaker |
SPEAKER_17 |
transcript.pyannote[905].start |
8684.20971875 |
transcript.pyannote[905].end |
8684.69909375 |
transcript.pyannote[906].speaker |
SPEAKER_01 |
transcript.pyannote[906].start |
8684.34471875 |
transcript.pyannote[906].end |
8684.93534375 |
transcript.pyannote[907].speaker |
SPEAKER_17 |
transcript.pyannote[907].start |
8685.32346875 |
transcript.pyannote[907].end |
8685.86346875 |
transcript.pyannote[908].speaker |
SPEAKER_01 |
transcript.pyannote[908].start |
8686.92659375 |
transcript.pyannote[908].end |
8691.98909375 |
transcript.pyannote[909].speaker |
SPEAKER_17 |
transcript.pyannote[909].start |
8690.89221875 |
transcript.pyannote[909].end |
8694.99284375 |
transcript.pyannote[910].speaker |
SPEAKER_01 |
transcript.pyannote[910].start |
8692.61346875 |
transcript.pyannote[910].end |
8693.69346875 |
transcript.pyannote[911].speaker |
SPEAKER_01 |
transcript.pyannote[911].start |
8694.46971875 |
transcript.pyannote[911].end |
8697.49034375 |
transcript.pyannote[912].speaker |
SPEAKER_01 |
transcript.pyannote[912].start |
8697.65909375 |
transcript.pyannote[912].end |
8717.67284375 |
transcript.pyannote[913].speaker |
SPEAKER_16 |
transcript.pyannote[913].start |
8698.94159375 |
transcript.pyannote[913].end |
8698.95846875 |
transcript.pyannote[914].speaker |
SPEAKER_17 |
transcript.pyannote[914].start |
8698.95846875 |
transcript.pyannote[914].end |
8699.02596875 |
transcript.pyannote[915].speaker |
SPEAKER_16 |
transcript.pyannote[915].start |
8699.02596875 |
transcript.pyannote[915].end |
8702.55284375 |
transcript.pyannote[916].speaker |
SPEAKER_01 |
transcript.pyannote[916].start |
8718.63471875 |
transcript.pyannote[916].end |
8721.41909375 |
transcript.pyannote[917].speaker |
SPEAKER_26 |
transcript.pyannote[917].start |
8720.33909375 |
transcript.pyannote[917].end |
8720.89596875 |
transcript.pyannote[918].speaker |
SPEAKER_26 |
transcript.pyannote[918].start |
8721.45284375 |
transcript.pyannote[918].end |
8729.50221875 |
transcript.pyannote[919].speaker |
SPEAKER_01 |
transcript.pyannote[919].start |
8729.58659375 |
transcript.pyannote[919].end |
8741.39909375 |
transcript.pyannote[920].speaker |
SPEAKER_06 |
transcript.pyannote[920].start |
8739.40784375 |
transcript.pyannote[920].end |
8747.44034375 |
transcript.pyannote[921].speaker |
SPEAKER_01 |
transcript.pyannote[921].start |
8746.76534375 |
transcript.pyannote[921].end |
8759.38784375 |
transcript.pyannote[922].speaker |
SPEAKER_17 |
transcript.pyannote[922].start |
8758.02096875 |
transcript.pyannote[922].end |
8758.08846875 |
transcript.pyannote[923].speaker |
SPEAKER_22 |
transcript.pyannote[923].start |
8758.08846875 |
transcript.pyannote[923].end |
8758.10534375 |
transcript.pyannote[924].speaker |
SPEAKER_17 |
transcript.pyannote[924].start |
8758.10534375 |
transcript.pyannote[924].end |
8758.47659375 |
transcript.pyannote[925].speaker |
SPEAKER_22 |
transcript.pyannote[925].start |
8758.47659375 |
transcript.pyannote[925].end |
8758.62846875 |
transcript.pyannote[926].speaker |
SPEAKER_17 |
transcript.pyannote[926].start |
8758.88159375 |
transcript.pyannote[926].end |
8765.36159375 |
transcript.pyannote[927].speaker |
SPEAKER_01 |
transcript.pyannote[927].start |
8764.70346875 |
transcript.pyannote[927].end |
8793.64409375 |
transcript.pyannote[928].speaker |
SPEAKER_06 |
transcript.pyannote[928].start |
8794.89284375 |
transcript.pyannote[928].end |
8795.21346875 |
transcript.pyannote[929].speaker |
SPEAKER_06 |
transcript.pyannote[929].start |
8796.20909375 |
transcript.pyannote[929].end |
8797.93034375 |
transcript.pyannote[930].speaker |
SPEAKER_01 |
transcript.pyannote[930].start |
8796.85034375 |
transcript.pyannote[930].end |
8797.44096875 |
transcript.pyannote[931].speaker |
SPEAKER_11 |
transcript.pyannote[931].start |
8798.26784375 |
transcript.pyannote[931].end |
8799.58409375 |
transcript.pyannote[932].speaker |
SPEAKER_11 |
transcript.pyannote[932].start |
8800.34346875 |
transcript.pyannote[932].end |
8812.10534375 |
transcript.pyannote[933].speaker |
SPEAKER_01 |
transcript.pyannote[933].start |
8811.07596875 |
transcript.pyannote[933].end |
8812.13909375 |
transcript.pyannote[934].speaker |
SPEAKER_11 |
transcript.pyannote[934].start |
8812.13909375 |
transcript.pyannote[934].end |
8812.34159375 |
transcript.pyannote[935].speaker |
SPEAKER_11 |
transcript.pyannote[935].start |
8812.52721875 |
transcript.pyannote[935].end |
8815.88534375 |
transcript.pyannote[936].speaker |
SPEAKER_01 |
transcript.pyannote[936].start |
8814.28221875 |
transcript.pyannote[936].end |
8820.81284375 |
transcript.pyannote[937].speaker |
SPEAKER_11 |
transcript.pyannote[937].start |
8820.96471875 |
transcript.pyannote[937].end |
8828.30534375 |
transcript.pyannote[938].speaker |
SPEAKER_01 |
transcript.pyannote[938].start |
8824.12034375 |
transcript.pyannote[938].end |
8825.70659375 |
transcript.pyannote[939].speaker |
SPEAKER_06 |
transcript.pyannote[939].start |
8825.70659375 |
transcript.pyannote[939].end |
8834.71784375 |
transcript.pyannote[940].speaker |
SPEAKER_01 |
transcript.pyannote[940].start |
8831.07284375 |
transcript.pyannote[940].end |
8831.35971875 |
transcript.pyannote[941].speaker |
SPEAKER_01 |
transcript.pyannote[941].start |
8834.38034375 |
transcript.pyannote[941].end |
8847.00284375 |
transcript.pyannote[942].speaker |
SPEAKER_06 |
transcript.pyannote[942].start |
8835.03846875 |
transcript.pyannote[942].end |
8838.16034375 |
transcript.pyannote[943].speaker |
SPEAKER_06 |
transcript.pyannote[943].start |
8841.01221875 |
transcript.pyannote[943].end |
8841.41721875 |
transcript.pyannote[944].speaker |
SPEAKER_17 |
transcript.pyannote[944].start |
8841.41721875 |
transcript.pyannote[944].end |
8842.98659375 |
transcript.pyannote[945].speaker |
SPEAKER_17 |
transcript.pyannote[945].start |
8846.85096875 |
transcript.pyannote[945].end |
8849.02784375 |
transcript.pyannote[946].speaker |
SPEAKER_01 |
transcript.pyannote[946].start |
8848.77471875 |
transcript.pyannote[946].end |
8852.70659375 |
transcript.pyannote[947].speaker |
SPEAKER_06 |
transcript.pyannote[947].start |
8849.02784375 |
transcript.pyannote[947].end |
8862.51096875 |
transcript.pyannote[948].speaker |
SPEAKER_06 |
transcript.pyannote[948].start |
8871.20159375 |
transcript.pyannote[948].end |
8871.38721875 |
transcript.pyannote[949].speaker |
SPEAKER_29 |
transcript.pyannote[949].start |
8871.38721875 |
transcript.pyannote[949].end |
8873.04096875 |
transcript.pyannote[950].speaker |
SPEAKER_06 |
transcript.pyannote[950].start |
8873.12534375 |
transcript.pyannote[950].end |
8873.86784375 |
transcript.pyannote[951].speaker |
SPEAKER_29 |
transcript.pyannote[951].start |
8881.41096875 |
transcript.pyannote[951].end |
8924.61096875 |
transcript.pyannote[952].speaker |
SPEAKER_29 |
transcript.pyannote[952].start |
8925.04971875 |
transcript.pyannote[952].end |
8927.96909375 |
transcript.pyannote[953].speaker |
SPEAKER_29 |
transcript.pyannote[953].start |
8928.17159375 |
transcript.pyannote[953].end |
8990.38971875 |
transcript.pyannote[954].speaker |
SPEAKER_29 |
transcript.pyannote[954].start |
8991.01409375 |
transcript.pyannote[954].end |
9014.33534375 |
transcript.pyannote[955].speaker |
SPEAKER_17 |
transcript.pyannote[955].start |
9015.29721875 |
transcript.pyannote[955].end |
9025.91159375 |
transcript.pyannote[956].speaker |
SPEAKER_17 |
transcript.pyannote[956].start |
9026.41784375 |
transcript.pyannote[956].end |
9037.97721875 |
transcript.pyannote[957].speaker |
SPEAKER_29 |
transcript.pyannote[957].start |
9037.97721875 |
transcript.pyannote[957].end |
9046.75221875 |
transcript.pyannote[958].speaker |
SPEAKER_17 |
transcript.pyannote[958].start |
9047.61284375 |
transcript.pyannote[958].end |
9068.03159375 |
transcript.pyannote[959].speaker |
SPEAKER_00 |
transcript.pyannote[959].start |
9053.99159375 |
transcript.pyannote[959].end |
9054.04221875 |
transcript.pyannote[960].speaker |
SPEAKER_29 |
transcript.pyannote[960].start |
9054.04221875 |
transcript.pyannote[960].end |
9054.32909375 |
transcript.pyannote[961].speaker |
SPEAKER_00 |
transcript.pyannote[961].start |
9054.32909375 |
transcript.pyannote[961].end |
9054.37971875 |
transcript.pyannote[962].speaker |
SPEAKER_00 |
transcript.pyannote[962].start |
9054.98721875 |
transcript.pyannote[962].end |
9055.15596875 |
transcript.pyannote[963].speaker |
SPEAKER_29 |
transcript.pyannote[963].start |
9068.03159375 |
transcript.pyannote[963].end |
9105.05534375 |
transcript.pyannote[964].speaker |
SPEAKER_17 |
transcript.pyannote[964].start |
9105.20721875 |
transcript.pyannote[964].end |
9124.91721875 |
transcript.pyannote[965].speaker |
SPEAKER_29 |
transcript.pyannote[965].start |
9124.91721875 |
transcript.pyannote[965].end |
9196.93971875 |
transcript.pyannote[966].speaker |
SPEAKER_29 |
transcript.pyannote[966].start |
9197.07471875 |
transcript.pyannote[966].end |
9197.32784375 |
transcript.pyannote[967].speaker |
SPEAKER_14 |
transcript.pyannote[967].start |
9199.96034375 |
transcript.pyannote[967].end |
9204.55034375 |
transcript.pyannote[968].speaker |
SPEAKER_29 |
transcript.pyannote[968].start |
9203.20034375 |
transcript.pyannote[968].end |
9203.30159375 |
transcript.pyannote[969].speaker |
SPEAKER_29 |
transcript.pyannote[969].start |
9203.62221875 |
transcript.pyannote[969].end |
9289.60034375 |
transcript.pyannote[970].speaker |
SPEAKER_17 |
transcript.pyannote[970].start |
9291.52409375 |
transcript.pyannote[970].end |
9293.44784375 |
transcript.pyannote[971].speaker |
SPEAKER_17 |
transcript.pyannote[971].start |
9294.25784375 |
transcript.pyannote[971].end |
9316.66784375 |
transcript.pyannote[972].speaker |
SPEAKER_00 |
transcript.pyannote[972].start |
9300.82221875 |
transcript.pyannote[972].end |
9301.02471875 |
transcript.pyannote[973].speaker |
SPEAKER_00 |
transcript.pyannote[973].start |
9304.46721875 |
transcript.pyannote[973].end |
9304.82159375 |
transcript.pyannote[974].speaker |
SPEAKER_22 |
transcript.pyannote[974].start |
9316.66784375 |
transcript.pyannote[974].end |
9316.85346875 |
transcript.pyannote[975].speaker |
SPEAKER_17 |
transcript.pyannote[975].start |
9316.85346875 |
transcript.pyannote[975].end |
9320.98784375 |
transcript.pyannote[976].speaker |
SPEAKER_17 |
transcript.pyannote[976].start |
9321.25784375 |
transcript.pyannote[976].end |
9323.04659375 |
transcript.pyannote[977].speaker |
SPEAKER_17 |
transcript.pyannote[977].start |
9323.13096875 |
transcript.pyannote[977].end |
9368.08596875 |
transcript.pyannote[978].speaker |
SPEAKER_22 |
transcript.pyannote[978].start |
9324.09284375 |
transcript.pyannote[978].end |
9324.10971875 |
transcript.pyannote[979].speaker |
SPEAKER_16 |
transcript.pyannote[979].start |
9324.10971875 |
transcript.pyannote[979].end |
9324.58221875 |
transcript.pyannote[980].speaker |
SPEAKER_22 |
transcript.pyannote[980].start |
9324.58221875 |
transcript.pyannote[980].end |
9324.64971875 |
transcript.pyannote[981].speaker |
SPEAKER_22 |
transcript.pyannote[981].start |
9325.20659375 |
transcript.pyannote[981].end |
9325.22346875 |
transcript.pyannote[982].speaker |
SPEAKER_16 |
transcript.pyannote[982].start |
9325.22346875 |
transcript.pyannote[982].end |
9325.71284375 |
transcript.pyannote[983].speaker |
SPEAKER_16 |
transcript.pyannote[983].start |
9337.33971875 |
transcript.pyannote[983].end |
9337.74471875 |
transcript.pyannote[984].speaker |
SPEAKER_29 |
transcript.pyannote[984].start |
9368.08596875 |
transcript.pyannote[984].end |
9410.71221875 |
transcript.pyannote[985].speaker |
SPEAKER_17 |
transcript.pyannote[985].start |
9410.71221875 |
transcript.pyannote[985].end |
9411.55596875 |
transcript.pyannote[986].speaker |
SPEAKER_29 |
transcript.pyannote[986].start |
9411.55596875 |
transcript.pyannote[986].end |
9412.04534375 |
transcript.pyannote[987].speaker |
SPEAKER_17 |
transcript.pyannote[987].start |
9411.60659375 |
transcript.pyannote[987].end |
9414.91409375 |
transcript.pyannote[988].speaker |
SPEAKER_06 |
transcript.pyannote[988].start |
9414.91409375 |
transcript.pyannote[988].end |
9417.64784375 |
transcript.pyannote[989].speaker |
SPEAKER_06 |
transcript.pyannote[989].start |
9417.95159375 |
transcript.pyannote[989].end |
9431.90721875 |
transcript.pyannote[990].speaker |
SPEAKER_19 |
transcript.pyannote[990].start |
9433.30784375 |
transcript.pyannote[990].end |
9437.49284375 |
transcript.pyannote[991].speaker |
SPEAKER_19 |
transcript.pyannote[991].start |
9438.01596875 |
transcript.pyannote[991].end |
9441.74534375 |
transcript.pyannote[992].speaker |
SPEAKER_19 |
transcript.pyannote[992].start |
9441.79596875 |
transcript.pyannote[992].end |
9449.35596875 |
transcript.pyannote[993].speaker |
SPEAKER_19 |
transcript.pyannote[993].start |
9449.94659375 |
transcript.pyannote[993].end |
9452.78159375 |
transcript.pyannote[994].speaker |
SPEAKER_19 |
transcript.pyannote[994].start |
9453.01784375 |
transcript.pyannote[994].end |
9457.43909375 |
transcript.pyannote[995].speaker |
SPEAKER_06 |
transcript.pyannote[995].start |
9457.43909375 |
transcript.pyannote[995].end |
9457.45596875 |
transcript.pyannote[996].speaker |
SPEAKER_06 |
transcript.pyannote[996].start |
9457.94534375 |
transcript.pyannote[996].end |
9458.19846875 |
transcript.pyannote[997].speaker |
SPEAKER_06 |
transcript.pyannote[997].start |
9458.55284375 |
transcript.pyannote[997].end |
9459.09284375 |
transcript.pyannote[998].speaker |
SPEAKER_06 |
transcript.pyannote[998].start |
9459.41346875 |
transcript.pyannote[998].end |
9466.78784375 |
transcript.pyannote[999].speaker |
SPEAKER_06 |
transcript.pyannote[999].start |
9467.12534375 |
transcript.pyannote[999].end |
9470.17971875 |
transcript.pyannote[1000].speaker |
SPEAKER_06 |
transcript.pyannote[1000].start |
9470.55096875 |
transcript.pyannote[1000].end |
9473.03159375 |
transcript.pyannote[1001].speaker |
SPEAKER_06 |
transcript.pyannote[1001].start |
9473.14971875 |
transcript.pyannote[1001].end |
9475.25909375 |
transcript.pyannote[1002].speaker |
SPEAKER_06 |
transcript.pyannote[1002].start |
9475.84971875 |
transcript.pyannote[1002].end |
9477.62159375 |
transcript.pyannote[1003].speaker |
SPEAKER_06 |
transcript.pyannote[1003].start |
9479.24159375 |
transcript.pyannote[1003].end |
9479.62971875 |
transcript.pyannote[1004].speaker |
SPEAKER_06 |
transcript.pyannote[1004].start |
9479.98409375 |
transcript.pyannote[1004].end |
9491.37471875 |
transcript.pyannote[1005].speaker |
SPEAKER_06 |
transcript.pyannote[1005].start |
9492.74159375 |
transcript.pyannote[1005].end |
9493.90596875 |
transcript.pyannote[1006].speaker |
SPEAKER_06 |
transcript.pyannote[1006].start |
9496.18409375 |
transcript.pyannote[1006].end |
9496.47096875 |
transcript.pyannote[1007].speaker |
SPEAKER_06 |
transcript.pyannote[1007].start |
9497.12909375 |
transcript.pyannote[1007].end |
9500.60534375 |
transcript.pyannote[1008].speaker |
SPEAKER_02 |
transcript.pyannote[1008].start |
9515.99534375 |
transcript.pyannote[1008].end |
9517.02471875 |
transcript.pyannote[1009].speaker |
SPEAKER_06 |
transcript.pyannote[1009].start |
9517.02471875 |
transcript.pyannote[1009].end |
9517.05846875 |
transcript.pyannote[1010].speaker |
SPEAKER_02 |
transcript.pyannote[1010].start |
9517.05846875 |
transcript.pyannote[1010].end |
9517.24409375 |
transcript.pyannote[1011].speaker |
SPEAKER_06 |
transcript.pyannote[1011].start |
9517.24409375 |
transcript.pyannote[1011].end |
9518.94846875 |
transcript.pyannote[1012].speaker |
SPEAKER_06 |
transcript.pyannote[1012].start |
9518.96534375 |
transcript.pyannote[1012].end |
9518.98221875 |
transcript.pyannote[1013].speaker |
SPEAKER_06 |
transcript.pyannote[1013].start |
9519.72471875 |
transcript.pyannote[1013].end |
9520.19721875 |
transcript.pyannote[1014].speaker |
SPEAKER_06 |
transcript.pyannote[1014].start |
9522.52596875 |
transcript.pyannote[1014].end |
9524.55096875 |
transcript.pyannote[1015].speaker |
SPEAKER_13 |
transcript.pyannote[1015].start |
9525.20909375 |
transcript.pyannote[1015].end |
9526.81221875 |
transcript.pyannote[1016].speaker |
SPEAKER_06 |
transcript.pyannote[1016].start |
9527.23409375 |
transcript.pyannote[1016].end |
9527.90909375 |
transcript.pyannote[1017].speaker |
SPEAKER_06 |
transcript.pyannote[1017].start |
9529.63034375 |
transcript.pyannote[1017].end |
9531.35159375 |
transcript.pyannote[1018].speaker |
SPEAKER_06 |
transcript.pyannote[1018].start |
9531.70596875 |
transcript.pyannote[1018].end |
9535.75596875 |
transcript.pyannote[1019].speaker |
SPEAKER_16 |
transcript.pyannote[1019].start |
9537.96659375 |
transcript.pyannote[1019].end |
9539.01284375 |
transcript.pyannote[1020].speaker |
SPEAKER_13 |
transcript.pyannote[1020].start |
9539.31659375 |
transcript.pyannote[1020].end |
9539.92409375 |
transcript.pyannote[1021].speaker |
SPEAKER_13 |
transcript.pyannote[1021].start |
9539.97471875 |
transcript.pyannote[1021].end |
9540.02534375 |
transcript.pyannote[1022].speaker |
SPEAKER_13 |
transcript.pyannote[1022].start |
9540.10971875 |
transcript.pyannote[1022].end |
9553.47471875 |
transcript.pyannote[1023].speaker |
SPEAKER_13 |
transcript.pyannote[1023].start |
9553.93034375 |
transcript.pyannote[1023].end |
9555.02721875 |
transcript.pyannote[1024].speaker |
SPEAKER_13 |
transcript.pyannote[1024].start |
9555.97221875 |
transcript.pyannote[1024].end |
9561.06846875 |
transcript.pyannote[1025].speaker |
SPEAKER_13 |
transcript.pyannote[1025].start |
9561.42284375 |
transcript.pyannote[1025].end |
9562.57034375 |
transcript.pyannote[1026].speaker |
SPEAKER_17 |
transcript.pyannote[1026].start |
9563.98784375 |
transcript.pyannote[1026].end |
9565.87784375 |
transcript.pyannote[1027].speaker |
SPEAKER_17 |
transcript.pyannote[1027].start |
9566.26596875 |
transcript.pyannote[1027].end |
9571.27784375 |
transcript.pyannote[1028].speaker |
SPEAKER_17 |
transcript.pyannote[1028].start |
9571.78409375 |
transcript.pyannote[1028].end |
9573.21846875 |
transcript.pyannote[1029].speaker |
SPEAKER_17 |
transcript.pyannote[1029].start |
9575.78346875 |
transcript.pyannote[1029].end |
9575.80034375 |
transcript.pyannote[1030].speaker |
SPEAKER_12 |
transcript.pyannote[1030].start |
9575.80034375 |
transcript.pyannote[1030].end |
9580.18784375 |
transcript.pyannote[1031].speaker |
SPEAKER_17 |
transcript.pyannote[1031].start |
9577.09971875 |
transcript.pyannote[1031].end |
9577.43721875 |
transcript.pyannote[1032].speaker |
SPEAKER_12 |
transcript.pyannote[1032].start |
9580.39034375 |
transcript.pyannote[1032].end |
9581.90909375 |
transcript.pyannote[1033].speaker |
SPEAKER_12 |
transcript.pyannote[1033].start |
9582.01034375 |
transcript.pyannote[1033].end |
9582.02721875 |
transcript.pyannote[1034].speaker |
SPEAKER_12 |
transcript.pyannote[1034].start |
9582.09471875 |
transcript.pyannote[1034].end |
9583.49534375 |
transcript.pyannote[1035].speaker |
SPEAKER_12 |
transcript.pyannote[1035].start |
9583.96784375 |
transcript.pyannote[1035].end |
9584.35596875 |
transcript.pyannote[1036].speaker |
SPEAKER_12 |
transcript.pyannote[1036].start |
9584.77784375 |
transcript.pyannote[1036].end |
9587.03909375 |
transcript.pyannote[1037].speaker |
SPEAKER_13 |
transcript.pyannote[1037].start |
9587.03909375 |
transcript.pyannote[1037].end |
9606.37784375 |
transcript.pyannote[1038].speaker |
SPEAKER_12 |
transcript.pyannote[1038].start |
9587.83221875 |
transcript.pyannote[1038].end |
9588.08534375 |
transcript.pyannote[1039].speaker |
SPEAKER_17 |
transcript.pyannote[1039].start |
9605.85471875 |
transcript.pyannote[1039].end |
9619.75971875 |
transcript.pyannote[1040].speaker |
SPEAKER_17 |
transcript.pyannote[1040].start |
9619.96221875 |
transcript.pyannote[1040].end |
9619.97909375 |
transcript.pyannote[1041].speaker |
SPEAKER_13 |
transcript.pyannote[1041].start |
9619.97909375 |
transcript.pyannote[1041].end |
9627.31971875 |
transcript.pyannote[1042].speaker |
SPEAKER_13 |
transcript.pyannote[1042].start |
9627.70784375 |
transcript.pyannote[1042].end |
9634.99784375 |
transcript.pyannote[1043].speaker |
SPEAKER_13 |
transcript.pyannote[1043].start |
9635.36909375 |
transcript.pyannote[1043].end |
9654.47159375 |
transcript.pyannote[1044].speaker |
SPEAKER_17 |
transcript.pyannote[1044].start |
9654.72471875 |
transcript.pyannote[1044].end |
9658.77471875 |
transcript.pyannote[1045].speaker |
SPEAKER_13 |
transcript.pyannote[1045].start |
9658.77471875 |
transcript.pyannote[1045].end |
9675.37971875 |
transcript.pyannote[1046].speaker |
SPEAKER_13 |
transcript.pyannote[1046].start |
9675.58221875 |
transcript.pyannote[1046].end |
9680.52659375 |
transcript.pyannote[1047].speaker |
SPEAKER_13 |
transcript.pyannote[1047].start |
9680.76284375 |
transcript.pyannote[1047].end |
9683.15909375 |
transcript.pyannote[1048].speaker |
SPEAKER_17 |
transcript.pyannote[1048].start |
9684.86346875 |
transcript.pyannote[1048].end |
9687.05721875 |
transcript.pyannote[1049].speaker |
SPEAKER_13 |
transcript.pyannote[1049].start |
9687.05721875 |
transcript.pyannote[1049].end |
9691.96784375 |
transcript.pyannote[1050].speaker |
SPEAKER_13 |
transcript.pyannote[1050].start |
9692.23784375 |
transcript.pyannote[1050].end |
9703.83096875 |
transcript.pyannote[1051].speaker |
SPEAKER_22 |
transcript.pyannote[1051].start |
9695.15721875 |
transcript.pyannote[1051].end |
9695.35971875 |
transcript.pyannote[1052].speaker |
SPEAKER_13 |
transcript.pyannote[1052].start |
9704.11784375 |
transcript.pyannote[1052].end |
9705.75471875 |
transcript.pyannote[1053].speaker |
SPEAKER_27 |
transcript.pyannote[1053].start |
9706.34534375 |
transcript.pyannote[1053].end |
9721.31346875 |
transcript.pyannote[1054].speaker |
SPEAKER_13 |
transcript.pyannote[1054].start |
9708.04971875 |
transcript.pyannote[1054].end |
9708.33659375 |
transcript.pyannote[1055].speaker |
SPEAKER_13 |
transcript.pyannote[1055].start |
9721.00971875 |
transcript.pyannote[1055].end |
9726.08909375 |
transcript.pyannote[1056].speaker |
SPEAKER_27 |
transcript.pyannote[1056].start |
9722.12346875 |
transcript.pyannote[1056].end |
9722.34284375 |
transcript.pyannote[1057].speaker |
SPEAKER_27 |
transcript.pyannote[1057].start |
9725.38034375 |
transcript.pyannote[1057].end |
9734.88096875 |
transcript.pyannote[1058].speaker |
SPEAKER_17 |
transcript.pyannote[1058].start |
9734.00346875 |
transcript.pyannote[1058].end |
9739.70721875 |
transcript.pyannote[1059].speaker |
SPEAKER_27 |
transcript.pyannote[1059].start |
9739.13346875 |
transcript.pyannote[1059].end |
9739.58909375 |
transcript.pyannote[1060].speaker |
SPEAKER_27 |
transcript.pyannote[1060].start |
9739.70721875 |
transcript.pyannote[1060].end |
9739.96034375 |
transcript.pyannote[1061].speaker |
SPEAKER_17 |
transcript.pyannote[1061].start |
9739.96034375 |
transcript.pyannote[1061].end |
9744.71909375 |
transcript.pyannote[1062].speaker |
SPEAKER_17 |
transcript.pyannote[1062].start |
9745.57971875 |
transcript.pyannote[1062].end |
9754.64159375 |
transcript.pyannote[1063].speaker |
SPEAKER_22 |
transcript.pyannote[1063].start |
9746.82846875 |
transcript.pyannote[1063].end |
9747.28409375 |
transcript.pyannote[1064].speaker |
SPEAKER_22 |
transcript.pyannote[1064].start |
9748.46534375 |
transcript.pyannote[1064].end |
9748.56659375 |
transcript.pyannote[1065].speaker |
SPEAKER_13 |
transcript.pyannote[1065].start |
9748.56659375 |
transcript.pyannote[1065].end |
9748.73534375 |
transcript.pyannote[1066].speaker |
SPEAKER_22 |
transcript.pyannote[1066].start |
9748.73534375 |
transcript.pyannote[1066].end |
9748.76909375 |
transcript.pyannote[1067].speaker |
SPEAKER_13 |
transcript.pyannote[1067].start |
9748.76909375 |
transcript.pyannote[1067].end |
9748.78596875 |
transcript.pyannote[1068].speaker |
SPEAKER_17 |
transcript.pyannote[1068].start |
9755.16471875 |
transcript.pyannote[1068].end |
9755.18159375 |
transcript.pyannote[1069].speaker |
SPEAKER_13 |
transcript.pyannote[1069].start |
9755.18159375 |
transcript.pyannote[1069].end |
9760.90221875 |
transcript.pyannote[1070].speaker |
SPEAKER_17 |
transcript.pyannote[1070].start |
9760.90221875 |
transcript.pyannote[1070].end |
9765.99846875 |
transcript.pyannote[1071].speaker |
SPEAKER_13 |
transcript.pyannote[1071].start |
9765.91409375 |
transcript.pyannote[1071].end |
9807.05534375 |
transcript.pyannote[1072].speaker |
SPEAKER_17 |
transcript.pyannote[1072].start |
9766.20096875 |
transcript.pyannote[1072].end |
9766.21784375 |
transcript.pyannote[1073].speaker |
SPEAKER_13 |
transcript.pyannote[1073].start |
9807.30846875 |
transcript.pyannote[1073].end |
9809.36721875 |
transcript.pyannote[1074].speaker |
SPEAKER_13 |
transcript.pyannote[1074].start |
9810.27846875 |
transcript.pyannote[1074].end |
9817.06221875 |
transcript.pyannote[1075].speaker |
SPEAKER_13 |
transcript.pyannote[1075].start |
9817.36596875 |
transcript.pyannote[1075].end |
9818.46284375 |
transcript.pyannote[1076].speaker |
SPEAKER_17 |
transcript.pyannote[1076].start |
9817.39971875 |
transcript.pyannote[1076].end |
9837.91971875 |
transcript.pyannote[1077].speaker |
SPEAKER_18 |
transcript.pyannote[1077].start |
9838.61159375 |
transcript.pyannote[1077].end |
9838.91534375 |
transcript.pyannote[1078].speaker |
SPEAKER_18 |
transcript.pyannote[1078].start |
9839.32034375 |
transcript.pyannote[1078].end |
9852.36471875 |
transcript.pyannote[1079].speaker |
SPEAKER_22 |
transcript.pyannote[1079].start |
9847.77471875 |
transcript.pyannote[1079].end |
9847.92659375 |
transcript.pyannote[1080].speaker |
SPEAKER_22 |
transcript.pyannote[1080].start |
9847.94346875 |
transcript.pyannote[1080].end |
9848.09534375 |
transcript.pyannote[1081].speaker |
SPEAKER_18 |
transcript.pyannote[1081].start |
9852.51659375 |
transcript.pyannote[1081].end |
9862.50659375 |
transcript.pyannote[1082].speaker |
SPEAKER_17 |
transcript.pyannote[1082].start |
9857.37659375 |
transcript.pyannote[1082].end |
9863.36721875 |
transcript.pyannote[1083].speaker |
SPEAKER_17 |
transcript.pyannote[1083].start |
9863.65409375 |
transcript.pyannote[1083].end |
9882.19971875 |
transcript.pyannote[1084].speaker |
SPEAKER_16 |
transcript.pyannote[1084].start |
9867.26534375 |
transcript.pyannote[1084].end |
9867.40034375 |
transcript.pyannote[1085].speaker |
SPEAKER_01 |
transcript.pyannote[1085].start |
9867.40034375 |
transcript.pyannote[1085].end |
9867.43409375 |
transcript.pyannote[1086].speaker |
SPEAKER_16 |
transcript.pyannote[1086].start |
9867.43409375 |
transcript.pyannote[1086].end |
9867.51846875 |
transcript.pyannote[1087].speaker |
SPEAKER_01 |
transcript.pyannote[1087].start |
9867.51846875 |
transcript.pyannote[1087].end |
9867.55221875 |
transcript.pyannote[1088].speaker |
SPEAKER_00 |
transcript.pyannote[1088].start |
9872.37846875 |
transcript.pyannote[1088].end |
9873.49221875 |
transcript.pyannote[1089].speaker |
SPEAKER_13 |
transcript.pyannote[1089].start |
9882.28409375 |
transcript.pyannote[1089].end |
9885.11909375 |
transcript.pyannote[1090].speaker |
SPEAKER_13 |
transcript.pyannote[1090].start |
9885.96284375 |
transcript.pyannote[1090].end |
9888.86534375 |
transcript.pyannote[1091].speaker |
SPEAKER_13 |
transcript.pyannote[1091].start |
9888.94971875 |
transcript.pyannote[1091].end |
9890.78909375 |
transcript.pyannote[1092].speaker |
SPEAKER_13 |
transcript.pyannote[1092].start |
9890.94096875 |
transcript.pyannote[1092].end |
9894.02909375 |
transcript.pyannote[1093].speaker |
SPEAKER_13 |
transcript.pyannote[1093].start |
9894.28221875 |
transcript.pyannote[1093].end |
9912.15284375 |
transcript.pyannote[1094].speaker |
SPEAKER_25 |
transcript.pyannote[1094].start |
9912.15284375 |
transcript.pyannote[1094].end |
9912.57471875 |
transcript.pyannote[1095].speaker |
SPEAKER_13 |
transcript.pyannote[1095].start |
9912.57471875 |
transcript.pyannote[1095].end |
9927.32346875 |
transcript.pyannote[1096].speaker |
SPEAKER_13 |
transcript.pyannote[1096].start |
9927.64409375 |
transcript.pyannote[1096].end |
9931.71096875 |
transcript.pyannote[1097].speaker |
SPEAKER_13 |
transcript.pyannote[1097].start |
9932.06534375 |
transcript.pyannote[1097].end |
9941.09346875 |
transcript.pyannote[1098].speaker |
SPEAKER_13 |
transcript.pyannote[1098].start |
9941.56596875 |
transcript.pyannote[1098].end |
9956.93909375 |
transcript.pyannote[1099].speaker |
SPEAKER_13 |
transcript.pyannote[1099].start |
9957.07409375 |
transcript.pyannote[1099].end |
9977.64471875 |
transcript.pyannote[1100].speaker |
SPEAKER_13 |
transcript.pyannote[1100].start |
9978.35346875 |
transcript.pyannote[1100].end |
9990.79034375 |
transcript.pyannote[1101].speaker |
SPEAKER_13 |
transcript.pyannote[1101].start |
9991.43159375 |
transcript.pyannote[1101].end |
9998.26596875 |
transcript.pyannote[1102].speaker |
SPEAKER_13 |
transcript.pyannote[1102].start |
9998.55284375 |
transcript.pyannote[1102].end |
9998.83971875 |
transcript.pyannote[1103].speaker |
SPEAKER_13 |
transcript.pyannote[1103].start |
9999.04221875 |
transcript.pyannote[1103].end |
10017.97596875 |
transcript.pyannote[1104].speaker |
SPEAKER_17 |
transcript.pyannote[1104].start |
10018.60034375 |
transcript.pyannote[1104].end |
10046.76471875 |
transcript.pyannote[1105].speaker |
SPEAKER_13 |
transcript.pyannote[1105].start |
10046.02221875 |
transcript.pyannote[1105].end |
10075.31721875 |
transcript.pyannote[1106].speaker |
SPEAKER_13 |
transcript.pyannote[1106].start |
10075.48596875 |
transcript.pyannote[1106].end |
10081.86471875 |
transcript.pyannote[1107].speaker |
SPEAKER_06 |
transcript.pyannote[1107].start |
10081.96596875 |
transcript.pyannote[1107].end |
10087.14659375 |
transcript.pyannote[1108].speaker |
SPEAKER_13 |
transcript.pyannote[1108].start |
10083.01221875 |
transcript.pyannote[1108].end |
10083.63659375 |
transcript.pyannote[1109].speaker |
SPEAKER_17 |
transcript.pyannote[1109].start |
10083.63659375 |
transcript.pyannote[1109].end |
10084.15971875 |
transcript.pyannote[1110].speaker |
SPEAKER_13 |
transcript.pyannote[1110].start |
10084.15971875 |
transcript.pyannote[1110].end |
10084.22721875 |
transcript.pyannote[1111].speaker |
SPEAKER_17 |
transcript.pyannote[1111].start |
10084.22721875 |
transcript.pyannote[1111].end |
10084.69971875 |
transcript.pyannote[1112].speaker |
SPEAKER_21 |
transcript.pyannote[1112].start |
10094.53784375 |
transcript.pyannote[1112].end |
10096.51221875 |
transcript.pyannote[1113].speaker |
SPEAKER_06 |
transcript.pyannote[1113].start |
10096.68096875 |
transcript.pyannote[1113].end |
10097.59221875 |
transcript.pyannote[1114].speaker |
SPEAKER_17 |
transcript.pyannote[1114].start |
10105.33784375 |
transcript.pyannote[1114].end |
10106.26596875 |
transcript.pyannote[1115].speaker |
SPEAKER_21 |
transcript.pyannote[1115].start |
10106.26596875 |
transcript.pyannote[1115].end |
10177.17471875 |
transcript.pyannote[1116].speaker |
SPEAKER_17 |
transcript.pyannote[1116].start |
10178.74409375 |
transcript.pyannote[1116].end |
10187.58659375 |
transcript.pyannote[1117].speaker |
SPEAKER_21 |
transcript.pyannote[1117].start |
10186.15221875 |
transcript.pyannote[1117].end |
10186.55721875 |
transcript.pyannote[1118].speaker |
SPEAKER_21 |
transcript.pyannote[1118].start |
10187.56971875 |
transcript.pyannote[1118].end |
10229.09909375 |
transcript.pyannote[1119].speaker |
SPEAKER_21 |
transcript.pyannote[1119].start |
10230.16221875 |
transcript.pyannote[1119].end |
10230.71909375 |
transcript.pyannote[1120].speaker |
SPEAKER_21 |
transcript.pyannote[1120].start |
10231.12409375 |
transcript.pyannote[1120].end |
10234.02659375 |
transcript.pyannote[1121].speaker |
SPEAKER_21 |
transcript.pyannote[1121].start |
10235.30909375 |
transcript.pyannote[1121].end |
10236.22034375 |
transcript.pyannote[1122].speaker |
SPEAKER_21 |
transcript.pyannote[1122].start |
10236.33846875 |
transcript.pyannote[1122].end |
10238.98784375 |
transcript.pyannote[1123].speaker |
SPEAKER_21 |
transcript.pyannote[1123].start |
10239.52784375 |
transcript.pyannote[1123].end |
10243.52721875 |
transcript.pyannote[1124].speaker |
SPEAKER_21 |
transcript.pyannote[1124].start |
10243.64534375 |
transcript.pyannote[1124].end |
10345.84034375 |
transcript.pyannote[1125].speaker |
SPEAKER_21 |
transcript.pyannote[1125].start |
10346.90346875 |
transcript.pyannote[1125].end |
10423.36409375 |
transcript.pyannote[1126].speaker |
SPEAKER_27 |
transcript.pyannote[1126].start |
10425.47346875 |
transcript.pyannote[1126].end |
10427.22846875 |
transcript.pyannote[1127].speaker |
SPEAKER_22 |
transcript.pyannote[1127].start |
10427.22846875 |
transcript.pyannote[1127].end |
10427.27909375 |
transcript.pyannote[1128].speaker |
SPEAKER_27 |
transcript.pyannote[1128].start |
10427.27909375 |
transcript.pyannote[1128].end |
10430.99159375 |
transcript.pyannote[1129].speaker |
SPEAKER_27 |
transcript.pyannote[1129].start |
10431.24471875 |
transcript.pyannote[1129].end |
10436.93159375 |
transcript.pyannote[1130].speaker |
SPEAKER_27 |
transcript.pyannote[1130].start |
10437.08346875 |
transcript.pyannote[1130].end |
10437.62346875 |
transcript.pyannote[1131].speaker |
SPEAKER_27 |
transcript.pyannote[1131].start |
10437.80909375 |
transcript.pyannote[1131].end |
10441.84221875 |
transcript.pyannote[1132].speaker |
SPEAKER_27 |
transcript.pyannote[1132].start |
10442.04471875 |
transcript.pyannote[1132].end |
10444.25534375 |
transcript.pyannote[1133].speaker |
SPEAKER_21 |
transcript.pyannote[1133].start |
10443.74909375 |
transcript.pyannote[1133].end |
10460.48909375 |
transcript.pyannote[1134].speaker |
SPEAKER_27 |
transcript.pyannote[1134].start |
10457.45159375 |
transcript.pyannote[1134].end |
10458.05909375 |
transcript.pyannote[1135].speaker |
SPEAKER_21 |
transcript.pyannote[1135].start |
10460.97846875 |
transcript.pyannote[1135].end |
10461.70409375 |
transcript.pyannote[1136].speaker |
SPEAKER_27 |
transcript.pyannote[1136].start |
10461.70409375 |
transcript.pyannote[1136].end |
10473.21284375 |
transcript.pyannote[1137].speaker |
SPEAKER_27 |
transcript.pyannote[1137].start |
10473.41534375 |
transcript.pyannote[1137].end |
10475.69346875 |
transcript.pyannote[1138].speaker |
SPEAKER_21 |
transcript.pyannote[1138].start |
10475.54159375 |
transcript.pyannote[1138].end |
10480.46909375 |
transcript.pyannote[1139].speaker |
SPEAKER_27 |
transcript.pyannote[1139].start |
10479.67596875 |
transcript.pyannote[1139].end |
10484.09721875 |
transcript.pyannote[1140].speaker |
SPEAKER_21 |
transcript.pyannote[1140].start |
10483.87784375 |
transcript.pyannote[1140].end |
10512.66659375 |
transcript.pyannote[1141].speaker |
SPEAKER_21 |
transcript.pyannote[1141].start |
10513.08846875 |
transcript.pyannote[1141].end |
10533.50721875 |
transcript.pyannote[1142].speaker |
SPEAKER_27 |
transcript.pyannote[1142].start |
10534.24971875 |
transcript.pyannote[1142].end |
10537.27034375 |
transcript.pyannote[1143].speaker |
SPEAKER_21 |
transcript.pyannote[1143].start |
10536.47721875 |
transcript.pyannote[1143].end |
10536.59534375 |
transcript.pyannote[1144].speaker |
SPEAKER_21 |
transcript.pyannote[1144].start |
10537.15221875 |
transcript.pyannote[1144].end |
10549.03221875 |
transcript.pyannote[1145].speaker |
SPEAKER_27 |
transcript.pyannote[1145].start |
10549.03221875 |
transcript.pyannote[1145].end |
10549.33596875 |
transcript.pyannote[1146].speaker |
SPEAKER_21 |
transcript.pyannote[1146].start |
10549.33596875 |
transcript.pyannote[1146].end |
10570.81784375 |
transcript.pyannote[1147].speaker |
SPEAKER_27 |
transcript.pyannote[1147].start |
10549.48784375 |
transcript.pyannote[1147].end |
10549.62284375 |
transcript.pyannote[1148].speaker |
SPEAKER_21 |
transcript.pyannote[1148].start |
10571.13846875 |
transcript.pyannote[1148].end |
10574.68221875 |
transcript.pyannote[1149].speaker |
SPEAKER_27 |
transcript.pyannote[1149].start |
10575.17159375 |
transcript.pyannote[1149].end |
10580.28471875 |
transcript.pyannote[1150].speaker |
SPEAKER_21 |
transcript.pyannote[1150].start |
10580.28471875 |
transcript.pyannote[1150].end |
10607.16659375 |
transcript.pyannote[1151].speaker |
SPEAKER_16 |
transcript.pyannote[1151].start |
10607.87534375 |
transcript.pyannote[1151].end |
10607.97659375 |
transcript.pyannote[1152].speaker |
SPEAKER_17 |
transcript.pyannote[1152].start |
10607.97659375 |
transcript.pyannote[1152].end |
10608.04409375 |
transcript.pyannote[1153].speaker |
SPEAKER_17 |
transcript.pyannote[1153].start |
10608.51659375 |
transcript.pyannote[1153].end |
10615.36784375 |
transcript.pyannote[1154].speaker |
SPEAKER_21 |
transcript.pyannote[1154].start |
10612.33034375 |
transcript.pyannote[1154].end |
10612.63409375 |
transcript.pyannote[1155].speaker |
SPEAKER_21 |
transcript.pyannote[1155].start |
10615.67159375 |
transcript.pyannote[1155].end |
10621.32471875 |
transcript.pyannote[1156].speaker |
SPEAKER_17 |
transcript.pyannote[1156].start |
10621.08846875 |
transcript.pyannote[1156].end |
10624.88534375 |
transcript.pyannote[1157].speaker |
SPEAKER_21 |
transcript.pyannote[1157].start |
10625.27346875 |
transcript.pyannote[1157].end |
10642.16534375 |
transcript.pyannote[1158].speaker |
SPEAKER_16 |
transcript.pyannote[1158].start |
10636.73159375 |
transcript.pyannote[1158].end |
10636.83284375 |
transcript.pyannote[1159].speaker |
SPEAKER_17 |
transcript.pyannote[1159].start |
10641.32159375 |
transcript.pyannote[1159].end |
10662.06096875 |
transcript.pyannote[1160].speaker |
SPEAKER_21 |
transcript.pyannote[1160].start |
10660.69409375 |
transcript.pyannote[1160].end |
10660.94721875 |
transcript.pyannote[1161].speaker |
SPEAKER_21 |
transcript.pyannote[1161].start |
10661.63909375 |
transcript.pyannote[1161].end |
10669.55346875 |
transcript.pyannote[1162].speaker |
SPEAKER_21 |
transcript.pyannote[1162].start |
10669.89096875 |
transcript.pyannote[1162].end |
10697.81909375 |
transcript.pyannote[1163].speaker |
SPEAKER_06 |
transcript.pyannote[1163].start |
10697.81909375 |
transcript.pyannote[1163].end |
10701.02534375 |
transcript.pyannote[1164].speaker |
SPEAKER_02 |
transcript.pyannote[1164].start |
10698.17346875 |
transcript.pyannote[1164].end |
10698.39284375 |
transcript.pyannote[1165].speaker |
SPEAKER_06 |
transcript.pyannote[1165].start |
10701.17721875 |
transcript.pyannote[1165].end |
10703.89409375 |
transcript.pyannote[1166].speaker |
SPEAKER_08 |
transcript.pyannote[1166].start |
10723.97534375 |
transcript.pyannote[1166].end |
10724.68409375 |
transcript.pyannote[1167].speaker |
SPEAKER_12 |
transcript.pyannote[1167].start |
10724.68409375 |
transcript.pyannote[1167].end |
10724.70096875 |
transcript.pyannote[1168].speaker |
SPEAKER_08 |
transcript.pyannote[1168].start |
10724.70096875 |
transcript.pyannote[1168].end |
10724.71784375 |
transcript.pyannote[1169].speaker |
SPEAKER_06 |
transcript.pyannote[1169].start |
10725.05534375 |
transcript.pyannote[1169].end |
10725.79784375 |
transcript.pyannote[1170].speaker |
SPEAKER_16 |
transcript.pyannote[1170].start |
10732.64909375 |
transcript.pyannote[1170].end |
10733.40846875 |
transcript.pyannote[1171].speaker |
SPEAKER_08 |
transcript.pyannote[1171].start |
10733.98221875 |
transcript.pyannote[1171].end |
10738.65659375 |
transcript.pyannote[1172].speaker |
SPEAKER_08 |
transcript.pyannote[1172].start |
10739.21346875 |
transcript.pyannote[1172].end |
10752.03846875 |
transcript.pyannote[1173].speaker |
SPEAKER_08 |
transcript.pyannote[1173].start |
10752.05534375 |
transcript.pyannote[1173].end |
10754.28284375 |
transcript.pyannote[1174].speaker |
SPEAKER_08 |
transcript.pyannote[1174].start |
10754.60346875 |
transcript.pyannote[1174].end |
10756.79721875 |
transcript.pyannote[1175].speaker |
SPEAKER_08 |
transcript.pyannote[1175].start |
10757.32034375 |
transcript.pyannote[1175].end |
10764.47534375 |
transcript.pyannote[1176].speaker |
SPEAKER_08 |
transcript.pyannote[1176].start |
10766.02784375 |
transcript.pyannote[1176].end |
10770.55034375 |
transcript.pyannote[1177].speaker |
SPEAKER_08 |
transcript.pyannote[1177].start |
10771.25909375 |
transcript.pyannote[1177].end |
10776.16971875 |
transcript.pyannote[1178].speaker |
SPEAKER_08 |
transcript.pyannote[1178].start |
10777.82346875 |
transcript.pyannote[1178].end |
10778.68409375 |
transcript.pyannote[1179].speaker |
SPEAKER_17 |
transcript.pyannote[1179].start |
10779.89909375 |
transcript.pyannote[1179].end |
10784.45534375 |
transcript.pyannote[1180].speaker |
SPEAKER_17 |
transcript.pyannote[1180].start |
10785.23159375 |
transcript.pyannote[1180].end |
10793.77034375 |
transcript.pyannote[1181].speaker |
SPEAKER_16 |
transcript.pyannote[1181].start |
10790.27721875 |
transcript.pyannote[1181].end |
10790.64846875 |
transcript.pyannote[1182].speaker |
SPEAKER_00 |
transcript.pyannote[1182].start |
10790.64846875 |
transcript.pyannote[1182].end |
10790.68221875 |
transcript.pyannote[1183].speaker |
SPEAKER_17 |
transcript.pyannote[1183].start |
10794.47909375 |
transcript.pyannote[1183].end |
10796.97659375 |
transcript.pyannote[1184].speaker |
SPEAKER_17 |
transcript.pyannote[1184].start |
10797.38159375 |
transcript.pyannote[1184].end |
10811.97846875 |
transcript.pyannote[1185].speaker |
SPEAKER_08 |
transcript.pyannote[1185].start |
10806.81471875 |
transcript.pyannote[1185].end |
10807.91159375 |
transcript.pyannote[1186].speaker |
SPEAKER_08 |
transcript.pyannote[1186].start |
10811.99534375 |
transcript.pyannote[1186].end |
10814.61096875 |
transcript.pyannote[1187].speaker |
SPEAKER_08 |
transcript.pyannote[1187].start |
10815.45471875 |
transcript.pyannote[1187].end |
10822.96409375 |
transcript.pyannote[1188].speaker |
SPEAKER_08 |
transcript.pyannote[1188].start |
10824.22971875 |
transcript.pyannote[1188].end |
10828.00971875 |
transcript.pyannote[1189].speaker |
SPEAKER_08 |
transcript.pyannote[1189].start |
10828.24596875 |
transcript.pyannote[1189].end |
10829.35971875 |
transcript.pyannote[1190].speaker |
SPEAKER_17 |
transcript.pyannote[1190].start |
10829.35971875 |
transcript.pyannote[1190].end |
10829.37659375 |
transcript.pyannote[1191].speaker |
SPEAKER_17 |
transcript.pyannote[1191].start |
10830.22034375 |
transcript.pyannote[1191].end |
10862.11409375 |
transcript.pyannote[1192].speaker |
SPEAKER_08 |
transcript.pyannote[1192].start |
10862.11409375 |
transcript.pyannote[1192].end |
10866.97409375 |
transcript.pyannote[1193].speaker |
SPEAKER_08 |
transcript.pyannote[1193].start |
10867.46346875 |
transcript.pyannote[1193].end |
10874.80409375 |
transcript.pyannote[1194].speaker |
SPEAKER_08 |
transcript.pyannote[1194].start |
10875.69846875 |
transcript.pyannote[1194].end |
10885.77284375 |
transcript.pyannote[1195].speaker |
SPEAKER_08 |
transcript.pyannote[1195].start |
10893.26534375 |
transcript.pyannote[1195].end |
10903.94721875 |
transcript.pyannote[1196].speaker |
SPEAKER_08 |
transcript.pyannote[1196].start |
10904.55471875 |
transcript.pyannote[1196].end |
10910.98409375 |
transcript.pyannote[1197].speaker |
SPEAKER_08 |
transcript.pyannote[1197].start |
10911.62534375 |
transcript.pyannote[1197].end |
10912.35096875 |
transcript.pyannote[1198].speaker |
SPEAKER_08 |
transcript.pyannote[1198].start |
10912.72221875 |
transcript.pyannote[1198].end |
10913.95409375 |
transcript.pyannote[1199].speaker |
SPEAKER_08 |
transcript.pyannote[1199].start |
10914.25784375 |
transcript.pyannote[1199].end |
10917.49784375 |
transcript.pyannote[1200].speaker |
SPEAKER_08 |
transcript.pyannote[1200].start |
10918.91534375 |
transcript.pyannote[1200].end |
10919.42159375 |
transcript.pyannote[1201].speaker |
SPEAKER_08 |
transcript.pyannote[1201].start |
10919.84346875 |
transcript.pyannote[1201].end |
10932.24659375 |
transcript.pyannote[1202].speaker |
SPEAKER_08 |
transcript.pyannote[1202].start |
10932.66846875 |
transcript.pyannote[1202].end |
10952.74971875 |
transcript.pyannote[1203].speaker |
SPEAKER_18 |
transcript.pyannote[1203].start |
10954.20096875 |
transcript.pyannote[1203].end |
10959.51659375 |
transcript.pyannote[1204].speaker |
SPEAKER_18 |
transcript.pyannote[1204].start |
10960.14096875 |
transcript.pyannote[1204].end |
10969.35471875 |
transcript.pyannote[1205].speaker |
SPEAKER_22 |
transcript.pyannote[1205].start |
10969.35471875 |
transcript.pyannote[1205].end |
10969.48971875 |
transcript.pyannote[1206].speaker |
SPEAKER_18 |
transcript.pyannote[1206].start |
10969.48971875 |
transcript.pyannote[1206].end |
10976.08784375 |
transcript.pyannote[1207].speaker |
SPEAKER_22 |
transcript.pyannote[1207].start |
10969.52346875 |
transcript.pyannote[1207].end |
10969.55721875 |
transcript.pyannote[1208].speaker |
SPEAKER_08 |
transcript.pyannote[1208].start |
10975.41284375 |
transcript.pyannote[1208].end |
10976.44221875 |
transcript.pyannote[1209].speaker |
SPEAKER_18 |
transcript.pyannote[1209].start |
10976.32409375 |
transcript.pyannote[1209].end |
11014.74846875 |
transcript.pyannote[1210].speaker |
SPEAKER_08 |
transcript.pyannote[1210].start |
11014.79909375 |
transcript.pyannote[1210].end |
11024.46846875 |
transcript.pyannote[1211].speaker |
SPEAKER_22 |
transcript.pyannote[1211].start |
11022.79784375 |
transcript.pyannote[1211].end |
11023.01721875 |
transcript.pyannote[1212].speaker |
SPEAKER_08 |
transcript.pyannote[1212].start |
11024.48534375 |
transcript.pyannote[1212].end |
11024.92409375 |
transcript.pyannote[1213].speaker |
SPEAKER_08 |
transcript.pyannote[1213].start |
11025.14346875 |
transcript.pyannote[1213].end |
11026.27409375 |
transcript.pyannote[1214].speaker |
SPEAKER_08 |
transcript.pyannote[1214].start |
11027.08409375 |
transcript.pyannote[1214].end |
11056.91909375 |
transcript.pyannote[1215].speaker |
SPEAKER_08 |
transcript.pyannote[1215].start |
11057.37471875 |
transcript.pyannote[1215].end |
11070.40221875 |
transcript.pyannote[1216].speaker |
SPEAKER_08 |
transcript.pyannote[1216].start |
11071.61721875 |
transcript.pyannote[1216].end |
11089.09971875 |
transcript.pyannote[1217].speaker |
SPEAKER_08 |
transcript.pyannote[1217].start |
11089.65659375 |
transcript.pyannote[1217].end |
11101.77284375 |
transcript.pyannote[1218].speaker |
SPEAKER_08 |
transcript.pyannote[1218].start |
11102.51534375 |
transcript.pyannote[1218].end |
11105.02971875 |
transcript.pyannote[1219].speaker |
SPEAKER_08 |
transcript.pyannote[1219].start |
11105.36721875 |
transcript.pyannote[1219].end |
11106.49784375 |
transcript.pyannote[1220].speaker |
SPEAKER_08 |
transcript.pyannote[1220].start |
11106.83534375 |
transcript.pyannote[1220].end |
11109.61971875 |
transcript.pyannote[1221].speaker |
SPEAKER_08 |
transcript.pyannote[1221].start |
11109.95721875 |
transcript.pyannote[1221].end |
11125.98846875 |
transcript.pyannote[1222].speaker |
SPEAKER_08 |
transcript.pyannote[1222].start |
11126.49471875 |
transcript.pyannote[1222].end |
11130.46034375 |
transcript.pyannote[1223].speaker |
SPEAKER_08 |
transcript.pyannote[1223].start |
11131.45596875 |
transcript.pyannote[1223].end |
11133.31221875 |
transcript.pyannote[1224].speaker |
SPEAKER_18 |
transcript.pyannote[1224].start |
11134.15596875 |
transcript.pyannote[1224].end |
11139.03284375 |
transcript.pyannote[1225].speaker |
SPEAKER_18 |
transcript.pyannote[1225].start |
11139.64034375 |
transcript.pyannote[1225].end |
11140.28159375 |
transcript.pyannote[1226].speaker |
SPEAKER_18 |
transcript.pyannote[1226].start |
11140.93971875 |
transcript.pyannote[1226].end |
11160.66659375 |
transcript.pyannote[1227].speaker |
SPEAKER_08 |
transcript.pyannote[1227].start |
11160.31221875 |
transcript.pyannote[1227].end |
11168.29409375 |
transcript.pyannote[1228].speaker |
SPEAKER_18 |
transcript.pyannote[1228].start |
11163.23159375 |
transcript.pyannote[1228].end |
11163.73784375 |
transcript.pyannote[1229].speaker |
SPEAKER_08 |
transcript.pyannote[1229].start |
11168.86784375 |
transcript.pyannote[1229].end |
11171.82096875 |
transcript.pyannote[1230].speaker |
SPEAKER_18 |
transcript.pyannote[1230].start |
11171.90534375 |
transcript.pyannote[1230].end |
11174.95971875 |
transcript.pyannote[1231].speaker |
SPEAKER_08 |
transcript.pyannote[1231].start |
11173.62659375 |
transcript.pyannote[1231].end |
11179.97159375 |
transcript.pyannote[1232].speaker |
SPEAKER_18 |
transcript.pyannote[1232].start |
11179.97159375 |
transcript.pyannote[1232].end |
11179.98846875 |
transcript.pyannote[1233].speaker |
SPEAKER_01 |
transcript.pyannote[1233].start |
11179.98846875 |
transcript.pyannote[1233].end |
11180.57909375 |
transcript.pyannote[1234].speaker |
SPEAKER_08 |
transcript.pyannote[1234].start |
11180.52846875 |
transcript.pyannote[1234].end |
11183.76846875 |
transcript.pyannote[1235].speaker |
SPEAKER_18 |
transcript.pyannote[1235].start |
11180.57909375 |
transcript.pyannote[1235].end |
11180.59596875 |
transcript.pyannote[1236].speaker |
SPEAKER_01 |
transcript.pyannote[1236].start |
11180.59596875 |
transcript.pyannote[1236].end |
11180.79846875 |
transcript.pyannote[1237].speaker |
SPEAKER_08 |
transcript.pyannote[1237].start |
11183.93721875 |
transcript.pyannote[1237].end |
11189.01659375 |
transcript.pyannote[1238].speaker |
SPEAKER_18 |
transcript.pyannote[1238].start |
11186.36721875 |
transcript.pyannote[1238].end |
11187.10971875 |
transcript.pyannote[1239].speaker |
SPEAKER_18 |
transcript.pyannote[1239].start |
11189.10096875 |
transcript.pyannote[1239].end |
11191.59846875 |
transcript.pyannote[1240].speaker |
SPEAKER_18 |
transcript.pyannote[1240].start |
11192.12159375 |
transcript.pyannote[1240].end |
11194.99034375 |
transcript.pyannote[1241].speaker |
SPEAKER_18 |
transcript.pyannote[1241].start |
11195.61471875 |
transcript.pyannote[1241].end |
11196.84659375 |
transcript.pyannote[1242].speaker |
SPEAKER_08 |
transcript.pyannote[1242].start |
11196.20534375 |
transcript.pyannote[1242].end |
11198.58471875 |
transcript.pyannote[1243].speaker |
SPEAKER_18 |
transcript.pyannote[1243].start |
11198.58471875 |
transcript.pyannote[1243].end |
11199.19221875 |
transcript.pyannote[1244].speaker |
SPEAKER_18 |
transcript.pyannote[1244].start |
11199.29346875 |
transcript.pyannote[1244].end |
11201.79096875 |
transcript.pyannote[1245].speaker |
SPEAKER_18 |
transcript.pyannote[1245].start |
11202.12846875 |
transcript.pyannote[1245].end |
11205.94221875 |
transcript.pyannote[1246].speaker |
SPEAKER_08 |
transcript.pyannote[1246].start |
11207.03909375 |
transcript.pyannote[1246].end |
11242.86471875 |
transcript.pyannote[1247].speaker |
SPEAKER_08 |
transcript.pyannote[1247].start |
11243.32034375 |
transcript.pyannote[1247].end |
11265.76409375 |
transcript.pyannote[1248].speaker |
SPEAKER_08 |
transcript.pyannote[1248].start |
11266.13534375 |
transcript.pyannote[1248].end |
11276.02409375 |
transcript.pyannote[1249].speaker |
SPEAKER_18 |
transcript.pyannote[1249].start |
11276.34471875 |
transcript.pyannote[1249].end |
11276.86784375 |
transcript.pyannote[1250].speaker |
SPEAKER_18 |
transcript.pyannote[1250].start |
11277.32346875 |
transcript.pyannote[1250].end |
11279.48346875 |
transcript.pyannote[1251].speaker |
SPEAKER_08 |
transcript.pyannote[1251].start |
11279.85471875 |
transcript.pyannote[1251].end |
11279.88846875 |
transcript.pyannote[1252].speaker |
SPEAKER_17 |
transcript.pyannote[1252].start |
11279.88846875 |
transcript.pyannote[1252].end |
11279.93909375 |
transcript.pyannote[1253].speaker |
SPEAKER_08 |
transcript.pyannote[1253].start |
11279.93909375 |
transcript.pyannote[1253].end |
11280.44534375 |
transcript.pyannote[1254].speaker |
SPEAKER_17 |
transcript.pyannote[1254].start |
11280.44534375 |
transcript.pyannote[1254].end |
11280.46221875 |
transcript.pyannote[1255].speaker |
SPEAKER_08 |
transcript.pyannote[1255].start |
11280.46221875 |
transcript.pyannote[1255].end |
11280.47909375 |
transcript.pyannote[1256].speaker |
SPEAKER_17 |
transcript.pyannote[1256].start |
11280.68159375 |
transcript.pyannote[1256].end |
11304.62721875 |
transcript.pyannote[1257].speaker |
SPEAKER_17 |
transcript.pyannote[1257].start |
11305.08284375 |
transcript.pyannote[1257].end |
11314.90409375 |
transcript.pyannote[1258].speaker |
SPEAKER_08 |
transcript.pyannote[1258].start |
11314.49909375 |
transcript.pyannote[1258].end |
11318.11034375 |
transcript.pyannote[1259].speaker |
SPEAKER_17 |
transcript.pyannote[1259].start |
11317.35096875 |
transcript.pyannote[1259].end |
11341.88721875 |
transcript.pyannote[1260].speaker |
SPEAKER_00 |
transcript.pyannote[1260].start |
11331.82971875 |
transcript.pyannote[1260].end |
11332.16721875 |
transcript.pyannote[1261].speaker |
SPEAKER_08 |
transcript.pyannote[1261].start |
11341.21221875 |
transcript.pyannote[1261].end |
11341.24596875 |
transcript.pyannote[1262].speaker |
SPEAKER_06 |
transcript.pyannote[1262].start |
11341.24596875 |
transcript.pyannote[1262].end |
11341.63409375 |
transcript.pyannote[1263].speaker |
SPEAKER_08 |
transcript.pyannote[1263].start |
11341.63409375 |
transcript.pyannote[1263].end |
11342.07284375 |
transcript.pyannote[1264].speaker |
SPEAKER_17 |
transcript.pyannote[1264].start |
11342.07284375 |
transcript.pyannote[1264].end |
11342.08971875 |
transcript.pyannote[1265].speaker |
SPEAKER_08 |
transcript.pyannote[1265].start |
11342.08971875 |
transcript.pyannote[1265].end |
11342.30909375 |
transcript.pyannote[1266].speaker |
SPEAKER_17 |
transcript.pyannote[1266].start |
11342.30909375 |
transcript.pyannote[1266].end |
11344.53659375 |
transcript.pyannote[1267].speaker |
SPEAKER_08 |
transcript.pyannote[1267].start |
11342.37659375 |
transcript.pyannote[1267].end |
11342.44409375 |
transcript.pyannote[1268].speaker |
SPEAKER_06 |
transcript.pyannote[1268].start |
11342.44409375 |
transcript.pyannote[1268].end |
11347.60784375 |
transcript.pyannote[1269].speaker |
SPEAKER_08 |
transcript.pyannote[1269].start |
11344.53659375 |
transcript.pyannote[1269].end |
11344.60409375 |
transcript.pyannote[1270].speaker |
SPEAKER_06 |
transcript.pyannote[1270].start |
11348.08034375 |
transcript.pyannote[1270].end |
11359.97721875 |
transcript.pyannote[1271].speaker |
SPEAKER_06 |
transcript.pyannote[1271].start |
11360.77034375 |
transcript.pyannote[1271].end |
11362.81221875 |
transcript.pyannote[1272].speaker |
SPEAKER_06 |
transcript.pyannote[1272].start |
11364.48284375 |
transcript.pyannote[1272].end |
11366.25471875 |
transcript.pyannote[1273].speaker |
SPEAKER_04 |
transcript.pyannote[1273].start |
11374.40534375 |
transcript.pyannote[1273].end |
11375.55284375 |
transcript.pyannote[1274].speaker |
SPEAKER_06 |
transcript.pyannote[1274].start |
11375.87346875 |
transcript.pyannote[1274].end |
11376.51471875 |
transcript.pyannote[1275].speaker |
SPEAKER_04 |
transcript.pyannote[1275].start |
11383.73721875 |
transcript.pyannote[1275].end |
11389.98096875 |
transcript.pyannote[1276].speaker |
SPEAKER_04 |
transcript.pyannote[1276].start |
11390.67284375 |
transcript.pyannote[1276].end |
11395.88721875 |
transcript.pyannote[1277].speaker |
SPEAKER_04 |
transcript.pyannote[1277].start |
11396.10659375 |
transcript.pyannote[1277].end |
11400.51096875 |
transcript.pyannote[1278].speaker |
SPEAKER_04 |
transcript.pyannote[1278].start |
11400.67971875 |
transcript.pyannote[1278].end |
11471.50409375 |
transcript.pyannote[1279].speaker |
SPEAKER_04 |
transcript.pyannote[1279].start |
11472.02721875 |
transcript.pyannote[1279].end |
11485.15596875 |
transcript.pyannote[1280].speaker |
SPEAKER_17 |
transcript.pyannote[1280].start |
11486.03346875 |
transcript.pyannote[1280].end |
11493.76221875 |
transcript.pyannote[1281].speaker |
SPEAKER_17 |
transcript.pyannote[1281].start |
11494.63971875 |
transcript.pyannote[1281].end |
11499.14534375 |
transcript.pyannote[1282].speaker |
SPEAKER_17 |
transcript.pyannote[1282].start |
11499.66846875 |
transcript.pyannote[1282].end |
11529.03096875 |
transcript.pyannote[1283].speaker |
SPEAKER_00 |
transcript.pyannote[1283].start |
11512.79721875 |
transcript.pyannote[1283].end |
11512.81409375 |
transcript.pyannote[1284].speaker |
SPEAKER_04 |
transcript.pyannote[1284].start |
11512.81409375 |
transcript.pyannote[1284].end |
11513.91096875 |
transcript.pyannote[1285].speaker |
SPEAKER_04 |
transcript.pyannote[1285].start |
11519.22659375 |
transcript.pyannote[1285].end |
11523.27659375 |
transcript.pyannote[1286].speaker |
SPEAKER_04 |
transcript.pyannote[1286].start |
11529.03096875 |
transcript.pyannote[1286].end |
11531.52846875 |
transcript.pyannote[1287].speaker |
SPEAKER_17 |
transcript.pyannote[1287].start |
11531.52846875 |
transcript.pyannote[1287].end |
11531.54534375 |
transcript.pyannote[1288].speaker |
SPEAKER_04 |
transcript.pyannote[1288].start |
11531.54534375 |
transcript.pyannote[1288].end |
11531.61284375 |
transcript.pyannote[1289].speaker |
SPEAKER_17 |
transcript.pyannote[1289].start |
11531.61284375 |
transcript.pyannote[1289].end |
11531.68034375 |
transcript.pyannote[1290].speaker |
SPEAKER_04 |
transcript.pyannote[1290].start |
11531.68034375 |
transcript.pyannote[1290].end |
11531.76471875 |
transcript.pyannote[1291].speaker |
SPEAKER_17 |
transcript.pyannote[1291].start |
11531.76471875 |
transcript.pyannote[1291].end |
11531.88284375 |
transcript.pyannote[1292].speaker |
SPEAKER_04 |
transcript.pyannote[1292].start |
11531.88284375 |
transcript.pyannote[1292].end |
11534.59971875 |
transcript.pyannote[1293].speaker |
SPEAKER_04 |
transcript.pyannote[1293].start |
11534.97096875 |
transcript.pyannote[1293].end |
11535.96659375 |
transcript.pyannote[1294].speaker |
SPEAKER_17 |
transcript.pyannote[1294].start |
11535.96659375 |
transcript.pyannote[1294].end |
11538.46409375 |
transcript.pyannote[1295].speaker |
SPEAKER_04 |
transcript.pyannote[1295].start |
11538.46409375 |
transcript.pyannote[1295].end |
11538.54846875 |
transcript.pyannote[1296].speaker |
SPEAKER_17 |
transcript.pyannote[1296].start |
11538.54846875 |
transcript.pyannote[1296].end |
11538.59909375 |
transcript.pyannote[1297].speaker |
SPEAKER_04 |
transcript.pyannote[1297].start |
11538.59909375 |
transcript.pyannote[1297].end |
11550.39471875 |
transcript.pyannote[1298].speaker |
SPEAKER_17 |
transcript.pyannote[1298].start |
11538.71721875 |
transcript.pyannote[1298].end |
11539.83096875 |
transcript.pyannote[1299].speaker |
SPEAKER_04 |
transcript.pyannote[1299].start |
11550.86721875 |
transcript.pyannote[1299].end |
11559.38909375 |
transcript.pyannote[1300].speaker |
SPEAKER_04 |
transcript.pyannote[1300].start |
11559.87846875 |
transcript.pyannote[1300].end |
11562.57846875 |
transcript.pyannote[1301].speaker |
SPEAKER_04 |
transcript.pyannote[1301].start |
11562.79784375 |
transcript.pyannote[1301].end |
11611.68471875 |
transcript.pyannote[1302].speaker |
SPEAKER_17 |
transcript.pyannote[1302].start |
11612.46096875 |
transcript.pyannote[1302].end |
11612.84909375 |
transcript.pyannote[1303].speaker |
SPEAKER_17 |
transcript.pyannote[1303].start |
11613.25409375 |
transcript.pyannote[1303].end |
11619.05909375 |
transcript.pyannote[1304].speaker |
SPEAKER_17 |
transcript.pyannote[1304].start |
11619.49784375 |
transcript.pyannote[1304].end |
11622.18096875 |
transcript.pyannote[1305].speaker |
SPEAKER_17 |
transcript.pyannote[1305].start |
11622.50159375 |
transcript.pyannote[1305].end |
11664.30096875 |
transcript.pyannote[1306].speaker |
SPEAKER_00 |
transcript.pyannote[1306].start |
11642.34659375 |
transcript.pyannote[1306].end |
11642.46471875 |
transcript.pyannote[1307].speaker |
SPEAKER_04 |
transcript.pyannote[1307].start |
11661.46596875 |
transcript.pyannote[1307].end |
11662.49534375 |
transcript.pyannote[1308].speaker |
SPEAKER_04 |
transcript.pyannote[1308].start |
11664.30096875 |
transcript.pyannote[1308].end |
11664.79034375 |
transcript.pyannote[1309].speaker |
SPEAKER_17 |
transcript.pyannote[1309].start |
11664.79034375 |
transcript.pyannote[1309].end |
11664.87471875 |
transcript.pyannote[1310].speaker |
SPEAKER_04 |
transcript.pyannote[1310].start |
11664.87471875 |
transcript.pyannote[1310].end |
11684.65221875 |
transcript.pyannote[1311].speaker |
SPEAKER_17 |
transcript.pyannote[1311].start |
11664.99284375 |
transcript.pyannote[1311].end |
11665.51596875 |
transcript.pyannote[1312].speaker |
SPEAKER_06 |
transcript.pyannote[1312].start |
11682.59346875 |
transcript.pyannote[1312].end |
11685.29346875 |
transcript.pyannote[1313].speaker |
SPEAKER_22 |
transcript.pyannote[1313].start |
11684.65221875 |
transcript.pyannote[1313].end |
11684.70284375 |
transcript.pyannote[1314].speaker |
SPEAKER_16 |
transcript.pyannote[1314].start |
11685.29346875 |
transcript.pyannote[1314].end |
11685.31034375 |
transcript.pyannote[1315].speaker |
SPEAKER_06 |
transcript.pyannote[1315].start |
11685.31034375 |
transcript.pyannote[1315].end |
11685.32721875 |
transcript.pyannote[1316].speaker |
SPEAKER_04 |
transcript.pyannote[1316].start |
11685.32721875 |
transcript.pyannote[1316].end |
11685.34409375 |
transcript.pyannote[1317].speaker |
SPEAKER_06 |
transcript.pyannote[1317].start |
11685.34409375 |
transcript.pyannote[1317].end |
11685.37784375 |
transcript.pyannote[1318].speaker |
SPEAKER_06 |
transcript.pyannote[1318].start |
11685.41159375 |
transcript.pyannote[1318].end |
11688.21284375 |
transcript.pyannote[1319].speaker |
SPEAKER_25 |
transcript.pyannote[1319].start |
11695.09784375 |
transcript.pyannote[1319].end |
11696.41409375 |
transcript.pyannote[1320].speaker |
SPEAKER_25 |
transcript.pyannote[1320].start |
11696.90346875 |
transcript.pyannote[1320].end |
11698.72596875 |
transcript.pyannote[1321].speaker |
SPEAKER_06 |
transcript.pyannote[1321].start |
11699.04659375 |
transcript.pyannote[1321].end |
11699.70471875 |
transcript.pyannote[1322].speaker |
SPEAKER_16 |
transcript.pyannote[1322].start |
11706.94409375 |
transcript.pyannote[1322].end |
11707.77096875 |
transcript.pyannote[1323].speaker |
SPEAKER_25 |
transcript.pyannote[1323].start |
11708.31096875 |
transcript.pyannote[1323].end |
11709.47534375 |
transcript.pyannote[1324].speaker |
SPEAKER_25 |
transcript.pyannote[1324].start |
11710.03221875 |
transcript.pyannote[1324].end |
11712.81659375 |
transcript.pyannote[1325].speaker |
SPEAKER_25 |
transcript.pyannote[1325].start |
11713.32284375 |
transcript.pyannote[1325].end |
11715.04409375 |
transcript.pyannote[1326].speaker |
SPEAKER_25 |
transcript.pyannote[1326].start |
11715.55034375 |
transcript.pyannote[1326].end |
11716.78221875 |
transcript.pyannote[1327].speaker |
SPEAKER_25 |
transcript.pyannote[1327].start |
11718.33471875 |
transcript.pyannote[1327].end |
11718.95909375 |
transcript.pyannote[1328].speaker |
SPEAKER_25 |
transcript.pyannote[1328].start |
11719.63409375 |
transcript.pyannote[1328].end |
11720.20784375 |
transcript.pyannote[1329].speaker |
SPEAKER_25 |
transcript.pyannote[1329].start |
11720.39346875 |
transcript.pyannote[1329].end |
11721.62534375 |
transcript.pyannote[1330].speaker |
SPEAKER_25 |
transcript.pyannote[1330].start |
11722.08096875 |
transcript.pyannote[1330].end |
11723.59971875 |
transcript.pyannote[1331].speaker |
SPEAKER_25 |
transcript.pyannote[1331].start |
11725.54034375 |
transcript.pyannote[1331].end |
11727.46409375 |
transcript.pyannote[1332].speaker |
SPEAKER_25 |
transcript.pyannote[1332].start |
11727.66659375 |
transcript.pyannote[1332].end |
11729.03346875 |
transcript.pyannote[1333].speaker |
SPEAKER_25 |
transcript.pyannote[1333].start |
11729.50596875 |
transcript.pyannote[1333].end |
11731.17659375 |
transcript.pyannote[1334].speaker |
SPEAKER_25 |
transcript.pyannote[1334].start |
11731.56471875 |
transcript.pyannote[1334].end |
11732.25659375 |
transcript.pyannote[1335].speaker |
SPEAKER_25 |
transcript.pyannote[1335].start |
11732.69534375 |
transcript.pyannote[1335].end |
11736.57659375 |
transcript.pyannote[1336].speaker |
SPEAKER_25 |
transcript.pyannote[1336].start |
11737.04909375 |
transcript.pyannote[1336].end |
11738.61846875 |
transcript.pyannote[1337].speaker |
SPEAKER_17 |
transcript.pyannote[1337].start |
11739.95159375 |
transcript.pyannote[1337].end |
11763.59346875 |
transcript.pyannote[1338].speaker |
SPEAKER_25 |
transcript.pyannote[1338].start |
11763.59346875 |
transcript.pyannote[1338].end |
11775.94596875 |
transcript.pyannote[1339].speaker |
SPEAKER_17 |
transcript.pyannote[1339].start |
11765.63534375 |
transcript.pyannote[1339].end |
11766.00659375 |
transcript.pyannote[1340].speaker |
SPEAKER_16 |
transcript.pyannote[1340].start |
11768.57159375 |
transcript.pyannote[1340].end |
11768.63909375 |
transcript.pyannote[1341].speaker |
SPEAKER_16 |
transcript.pyannote[1341].start |
11768.72346875 |
transcript.pyannote[1341].end |
11768.94284375 |
transcript.pyannote[1342].speaker |
SPEAKER_25 |
transcript.pyannote[1342].start |
11776.04721875 |
transcript.pyannote[1342].end |
11777.36346875 |
transcript.pyannote[1343].speaker |
SPEAKER_17 |
transcript.pyannote[1343].start |
11776.11471875 |
transcript.pyannote[1343].end |
11780.43471875 |
transcript.pyannote[1344].speaker |
SPEAKER_25 |
transcript.pyannote[1344].start |
11778.15659375 |
transcript.pyannote[1344].end |
11783.30346875 |
transcript.pyannote[1345].speaker |
SPEAKER_25 |
transcript.pyannote[1345].start |
11783.70846875 |
transcript.pyannote[1345].end |
11794.84596875 |
transcript.pyannote[1346].speaker |
SPEAKER_25 |
transcript.pyannote[1346].start |
11795.20034375 |
transcript.pyannote[1346].end |
11796.19596875 |
transcript.pyannote[1347].speaker |
SPEAKER_25 |
transcript.pyannote[1347].start |
11796.75284375 |
transcript.pyannote[1347].end |
11798.62596875 |
transcript.pyannote[1348].speaker |
SPEAKER_16 |
transcript.pyannote[1348].start |
11799.41909375 |
transcript.pyannote[1348].end |
11800.04346875 |
transcript.pyannote[1349].speaker |
SPEAKER_25 |
transcript.pyannote[1349].start |
11800.17846875 |
transcript.pyannote[1349].end |
11801.10659375 |
transcript.pyannote[1350].speaker |
SPEAKER_25 |
transcript.pyannote[1350].start |
11801.44409375 |
transcript.pyannote[1350].end |
11803.55346875 |
transcript.pyannote[1351].speaker |
SPEAKER_25 |
transcript.pyannote[1351].start |
11804.43096875 |
transcript.pyannote[1351].end |
11806.65846875 |
transcript.pyannote[1352].speaker |
SPEAKER_25 |
transcript.pyannote[1352].start |
11807.33346875 |
transcript.pyannote[1352].end |
11810.28659375 |
transcript.pyannote[1353].speaker |
SPEAKER_25 |
transcript.pyannote[1353].start |
11810.38784375 |
transcript.pyannote[1353].end |
11811.60284375 |
transcript.pyannote[1354].speaker |
SPEAKER_25 |
transcript.pyannote[1354].start |
11811.88971875 |
transcript.pyannote[1354].end |
11813.50971875 |
transcript.pyannote[1355].speaker |
SPEAKER_25 |
transcript.pyannote[1355].start |
11814.06659375 |
transcript.pyannote[1355].end |
11814.77534375 |
transcript.pyannote[1356].speaker |
SPEAKER_17 |
transcript.pyannote[1356].start |
11815.50096875 |
transcript.pyannote[1356].end |
11816.93534375 |
transcript.pyannote[1357].speaker |
SPEAKER_17 |
transcript.pyannote[1357].start |
11817.32346875 |
transcript.pyannote[1357].end |
11817.66096875 |
transcript.pyannote[1358].speaker |
SPEAKER_17 |
transcript.pyannote[1358].start |
11817.99846875 |
transcript.pyannote[1358].end |
11819.58471875 |
transcript.pyannote[1359].speaker |
SPEAKER_17 |
transcript.pyannote[1359].start |
11820.61409375 |
transcript.pyannote[1359].end |
11824.51221875 |
transcript.pyannote[1360].speaker |
SPEAKER_17 |
transcript.pyannote[1360].start |
11824.88346875 |
transcript.pyannote[1360].end |
11847.95159375 |
transcript.pyannote[1361].speaker |
SPEAKER_25 |
transcript.pyannote[1361].start |
11846.93909375 |
transcript.pyannote[1361].end |
11850.24659375 |
transcript.pyannote[1362].speaker |
SPEAKER_25 |
transcript.pyannote[1362].start |
11850.60096875 |
transcript.pyannote[1362].end |
11855.84909375 |
transcript.pyannote[1363].speaker |
SPEAKER_17 |
transcript.pyannote[1363].start |
11856.59159375 |
transcript.pyannote[1363].end |
11869.26471875 |
transcript.pyannote[1364].speaker |
SPEAKER_25 |
transcript.pyannote[1364].start |
11869.06221875 |
transcript.pyannote[1364].end |
11871.88034375 |
transcript.pyannote[1365].speaker |
SPEAKER_17 |
transcript.pyannote[1365].start |
11872.08284375 |
transcript.pyannote[1365].end |
11877.97221875 |
transcript.pyannote[1366].speaker |
SPEAKER_25 |
transcript.pyannote[1366].start |
11876.28471875 |
transcript.pyannote[1366].end |
11880.52034375 |
transcript.pyannote[1367].speaker |
SPEAKER_25 |
transcript.pyannote[1367].start |
11881.33034375 |
transcript.pyannote[1367].end |
11885.05971875 |
transcript.pyannote[1368].speaker |
SPEAKER_25 |
transcript.pyannote[1368].start |
11885.65034375 |
transcript.pyannote[1368].end |
11890.02096875 |
transcript.pyannote[1369].speaker |
SPEAKER_25 |
transcript.pyannote[1369].start |
11891.32034375 |
transcript.pyannote[1369].end |
11893.04159375 |
transcript.pyannote[1370].speaker |
SPEAKER_25 |
transcript.pyannote[1370].start |
11893.34534375 |
transcript.pyannote[1370].end |
11894.27346875 |
transcript.pyannote[1371].speaker |
SPEAKER_17 |
transcript.pyannote[1371].start |
11895.13409375 |
transcript.pyannote[1371].end |
11897.42909375 |
transcript.pyannote[1372].speaker |
SPEAKER_25 |
transcript.pyannote[1372].start |
11897.14221875 |
transcript.pyannote[1372].end |
11899.03221875 |
transcript.pyannote[1373].speaker |
SPEAKER_25 |
transcript.pyannote[1373].start |
11899.36971875 |
transcript.pyannote[1373].end |
11899.74096875 |
transcript.pyannote[1374].speaker |
SPEAKER_25 |
transcript.pyannote[1374].start |
11899.85909375 |
transcript.pyannote[1374].end |
11901.20909375 |
transcript.pyannote[1375].speaker |
SPEAKER_17 |
transcript.pyannote[1375].start |
11903.38596875 |
transcript.pyannote[1375].end |
11907.23346875 |
transcript.pyannote[1376].speaker |
SPEAKER_25 |
transcript.pyannote[1376].start |
11906.57534375 |
transcript.pyannote[1376].end |
11909.81534375 |
transcript.pyannote[1377].speaker |
SPEAKER_17 |
transcript.pyannote[1377].start |
11907.70596875 |
transcript.pyannote[1377].end |
11909.27534375 |
transcript.pyannote[1378].speaker |
SPEAKER_25 |
transcript.pyannote[1378].start |
11910.84471875 |
transcript.pyannote[1378].end |
11912.83596875 |
transcript.pyannote[1379].speaker |
SPEAKER_25 |
transcript.pyannote[1379].start |
11913.57846875 |
transcript.pyannote[1379].end |
11915.67096875 |
transcript.pyannote[1380].speaker |
SPEAKER_25 |
transcript.pyannote[1380].start |
11915.92409375 |
transcript.pyannote[1380].end |
11919.14721875 |
transcript.pyannote[1381].speaker |
SPEAKER_25 |
transcript.pyannote[1381].start |
11919.26534375 |
transcript.pyannote[1381].end |
11920.48034375 |
transcript.pyannote[1382].speaker |
SPEAKER_25 |
transcript.pyannote[1382].start |
11921.17221875 |
transcript.pyannote[1382].end |
11927.09534375 |
transcript.pyannote[1383].speaker |
SPEAKER_25 |
transcript.pyannote[1383].start |
11927.66909375 |
transcript.pyannote[1383].end |
11933.52471875 |
transcript.pyannote[1384].speaker |
SPEAKER_25 |
transcript.pyannote[1384].start |
11933.86221875 |
transcript.pyannote[1384].end |
11934.89159375 |
transcript.pyannote[1385].speaker |
SPEAKER_25 |
transcript.pyannote[1385].start |
11936.00534375 |
transcript.pyannote[1385].end |
11936.44409375 |
transcript.pyannote[1386].speaker |
SPEAKER_25 |
transcript.pyannote[1386].start |
11936.88284375 |
transcript.pyannote[1386].end |
11938.43534375 |
transcript.pyannote[1387].speaker |
SPEAKER_25 |
transcript.pyannote[1387].start |
11938.75596875 |
transcript.pyannote[1387].end |
11942.77221875 |
transcript.pyannote[1388].speaker |
SPEAKER_25 |
transcript.pyannote[1388].start |
11942.99159375 |
transcript.pyannote[1388].end |
11944.30784375 |
transcript.pyannote[1389].speaker |
SPEAKER_25 |
transcript.pyannote[1389].start |
11944.61159375 |
transcript.pyannote[1389].end |
11945.69159375 |
transcript.pyannote[1390].speaker |
SPEAKER_25 |
transcript.pyannote[1390].start |
11945.94471875 |
transcript.pyannote[1390].end |
11950.23096875 |
transcript.pyannote[1391].speaker |
SPEAKER_25 |
transcript.pyannote[1391].start |
11950.58534375 |
transcript.pyannote[1391].end |
11951.37846875 |
transcript.pyannote[1392].speaker |
SPEAKER_16 |
transcript.pyannote[1392].start |
11952.57659375 |
transcript.pyannote[1392].end |
11952.61034375 |
transcript.pyannote[1393].speaker |
SPEAKER_17 |
transcript.pyannote[1393].start |
11952.61034375 |
transcript.pyannote[1393].end |
11953.48784375 |
transcript.pyannote[1394].speaker |
SPEAKER_25 |
transcript.pyannote[1394].start |
11953.48784375 |
transcript.pyannote[1394].end |
11955.83346875 |
transcript.pyannote[1395].speaker |
SPEAKER_25 |
transcript.pyannote[1395].start |
11955.98534375 |
transcript.pyannote[1395].end |
11956.40721875 |
transcript.pyannote[1396].speaker |
SPEAKER_17 |
transcript.pyannote[1396].start |
11956.93034375 |
transcript.pyannote[1396].end |
11959.14096875 |
transcript.pyannote[1397].speaker |
SPEAKER_25 |
transcript.pyannote[1397].start |
11959.17471875 |
transcript.pyannote[1397].end |
11965.03034375 |
transcript.pyannote[1398].speaker |
SPEAKER_25 |
transcript.pyannote[1398].start |
11965.77284375 |
transcript.pyannote[1398].end |
11970.17721875 |
transcript.pyannote[1399].speaker |
SPEAKER_25 |
transcript.pyannote[1399].start |
11970.48096875 |
transcript.pyannote[1399].end |
11981.83784375 |
transcript.pyannote[1400].speaker |
SPEAKER_25 |
transcript.pyannote[1400].start |
11982.25971875 |
transcript.pyannote[1400].end |
11986.66409375 |
transcript.pyannote[1401].speaker |
SPEAKER_22 |
transcript.pyannote[1401].start |
11987.17034375 |
transcript.pyannote[1401].end |
11987.59221875 |
transcript.pyannote[1402].speaker |
SPEAKER_25 |
transcript.pyannote[1402].start |
11987.27159375 |
transcript.pyannote[1402].end |
11994.52784375 |
transcript.pyannote[1403].speaker |
SPEAKER_25 |
transcript.pyannote[1403].start |
11995.01721875 |
transcript.pyannote[1403].end |
12002.72909375 |
transcript.pyannote[1404].speaker |
SPEAKER_25 |
transcript.pyannote[1404].start |
12003.72471875 |
transcript.pyannote[1404].end |
12005.00721875 |
transcript.pyannote[1405].speaker |
SPEAKER_25 |
transcript.pyannote[1405].start |
12005.49659375 |
transcript.pyannote[1405].end |
12006.96471875 |
transcript.pyannote[1406].speaker |
SPEAKER_25 |
transcript.pyannote[1406].start |
12007.21784375 |
transcript.pyannote[1406].end |
12007.23471875 |
transcript.pyannote[1407].speaker |
SPEAKER_17 |
transcript.pyannote[1407].start |
12007.23471875 |
transcript.pyannote[1407].end |
12008.23034375 |
transcript.pyannote[1408].speaker |
SPEAKER_25 |
transcript.pyannote[1408].start |
12007.42034375 |
transcript.pyannote[1408].end |
12008.75346875 |
transcript.pyannote[1409].speaker |
SPEAKER_17 |
transcript.pyannote[1409].start |
12008.75346875 |
transcript.pyannote[1409].end |
12011.25096875 |
transcript.pyannote[1410].speaker |
SPEAKER_25 |
transcript.pyannote[1410].start |
12009.25971875 |
transcript.pyannote[1410].end |
12010.47471875 |
transcript.pyannote[1411].speaker |
SPEAKER_17 |
transcript.pyannote[1411].start |
12012.06096875 |
transcript.pyannote[1411].end |
12016.36409375 |
transcript.pyannote[1412].speaker |
SPEAKER_25 |
transcript.pyannote[1412].start |
12016.83659375 |
transcript.pyannote[1412].end |
12018.87846875 |
transcript.pyannote[1413].speaker |
SPEAKER_17 |
transcript.pyannote[1413].start |
12019.21596875 |
transcript.pyannote[1413].end |
12031.14659375 |
transcript.pyannote[1414].speaker |
SPEAKER_25 |
transcript.pyannote[1414].start |
12029.54346875 |
transcript.pyannote[1414].end |
12033.45846875 |
transcript.pyannote[1415].speaker |
SPEAKER_25 |
transcript.pyannote[1415].start |
12033.61034375 |
transcript.pyannote[1415].end |
12038.31846875 |
transcript.pyannote[1416].speaker |
SPEAKER_25 |
transcript.pyannote[1416].start |
12039.49971875 |
transcript.pyannote[1416].end |
12039.82034375 |
transcript.pyannote[1417].speaker |
SPEAKER_06 |
transcript.pyannote[1417].start |
12040.61346875 |
transcript.pyannote[1417].end |
12041.33909375 |
transcript.pyannote[1418].speaker |
SPEAKER_25 |
transcript.pyannote[1418].start |
12040.90034375 |
transcript.pyannote[1418].end |
12040.96784375 |
transcript.pyannote[1419].speaker |
SPEAKER_25 |
transcript.pyannote[1419].start |
12041.33909375 |
transcript.pyannote[1419].end |
12046.72221875 |
transcript.pyannote[1420].speaker |
SPEAKER_25 |
transcript.pyannote[1420].start |
12046.95846875 |
transcript.pyannote[1420].end |
12048.71346875 |
transcript.pyannote[1421].speaker |
SPEAKER_06 |
transcript.pyannote[1421].start |
12048.10596875 |
transcript.pyannote[1421].end |
12054.51846875 |
transcript.pyannote[1422].speaker |
SPEAKER_25 |
transcript.pyannote[1422].start |
12049.47284375 |
transcript.pyannote[1422].end |
12053.45534375 |
transcript.pyannote[1423].speaker |
SPEAKER_00 |
transcript.pyannote[1423].start |
12053.45534375 |
transcript.pyannote[1423].end |
12053.59034375 |
transcript.pyannote[1424].speaker |
SPEAKER_06 |
transcript.pyannote[1424].start |
12063.32721875 |
transcript.pyannote[1424].end |
12063.63096875 |
transcript.pyannote[1425].speaker |
SPEAKER_06 |
transcript.pyannote[1425].start |
12064.37346875 |
transcript.pyannote[1425].end |
12065.74034375 |
transcript.pyannote[1426].speaker |
SPEAKER_06 |
transcript.pyannote[1426].start |
12067.46159375 |
transcript.pyannote[1426].end |
12069.84096875 |
transcript.pyannote[1427].speaker |
SPEAKER_06 |
transcript.pyannote[1427].start |
12072.42284375 |
transcript.pyannote[1427].end |
12072.81096875 |
transcript.pyannote[1428].speaker |
SPEAKER_06 |
transcript.pyannote[1428].start |
12072.96284375 |
transcript.pyannote[1428].end |
12074.54909375 |
transcript.pyannote[1429].speaker |
SPEAKER_06 |
transcript.pyannote[1429].start |
12076.16909375 |
transcript.pyannote[1429].end |
12079.74659375 |
transcript.pyannote[1430].speaker |
SPEAKER_23 |
transcript.pyannote[1430].start |
12091.47471875 |
transcript.pyannote[1430].end |
12093.07784375 |
transcript.pyannote[1431].speaker |
SPEAKER_06 |
transcript.pyannote[1431].start |
12093.31409375 |
transcript.pyannote[1431].end |
12094.02284375 |
transcript.pyannote[1432].speaker |
SPEAKER_16 |
transcript.pyannote[1432].start |
12100.51971875 |
transcript.pyannote[1432].end |
12101.41409375 |
transcript.pyannote[1433].speaker |
SPEAKER_23 |
transcript.pyannote[1433].start |
12101.78534375 |
transcript.pyannote[1433].end |
12102.71346875 |
transcript.pyannote[1434].speaker |
SPEAKER_23 |
transcript.pyannote[1434].start |
12103.23659375 |
transcript.pyannote[1434].end |
12107.72534375 |
transcript.pyannote[1435].speaker |
SPEAKER_23 |
transcript.pyannote[1435].start |
12108.94034375 |
transcript.pyannote[1435].end |
12109.56471875 |
transcript.pyannote[1436].speaker |
SPEAKER_23 |
transcript.pyannote[1436].start |
12110.10471875 |
transcript.pyannote[1436].end |
12113.09159375 |
transcript.pyannote[1437].speaker |
SPEAKER_23 |
transcript.pyannote[1437].start |
12113.14221875 |
transcript.pyannote[1437].end |
12117.61409375 |
transcript.pyannote[1438].speaker |
SPEAKER_23 |
transcript.pyannote[1438].start |
12118.28909375 |
transcript.pyannote[1438].end |
12120.55034375 |
transcript.pyannote[1439].speaker |
SPEAKER_23 |
transcript.pyannote[1439].start |
12120.98909375 |
transcript.pyannote[1439].end |
12124.68471875 |
transcript.pyannote[1440].speaker |
SPEAKER_23 |
transcript.pyannote[1440].start |
12125.37659375 |
transcript.pyannote[1440].end |
12126.86159375 |
transcript.pyannote[1441].speaker |
SPEAKER_23 |
transcript.pyannote[1441].start |
12126.96284375 |
transcript.pyannote[1441].end |
12129.05534375 |
transcript.pyannote[1442].speaker |
SPEAKER_23 |
transcript.pyannote[1442].start |
12129.46034375 |
transcript.pyannote[1442].end |
12131.16471875 |
transcript.pyannote[1443].speaker |
SPEAKER_23 |
transcript.pyannote[1443].start |
12131.23221875 |
transcript.pyannote[1443].end |
12131.90721875 |
transcript.pyannote[1444].speaker |
SPEAKER_23 |
transcript.pyannote[1444].start |
12132.37971875 |
transcript.pyannote[1444].end |
12133.34159375 |
transcript.pyannote[1445].speaker |
SPEAKER_23 |
transcript.pyannote[1445].start |
12134.23596875 |
transcript.pyannote[1445].end |
12135.14721875 |
transcript.pyannote[1446].speaker |
SPEAKER_23 |
transcript.pyannote[1446].start |
12135.73784375 |
transcript.pyannote[1446].end |
12136.73346875 |
transcript.pyannote[1447].speaker |
SPEAKER_23 |
transcript.pyannote[1447].start |
12137.71221875 |
transcript.pyannote[1447].end |
12140.46284375 |
transcript.pyannote[1448].speaker |
SPEAKER_23 |
transcript.pyannote[1448].start |
12140.86784375 |
transcript.pyannote[1448].end |
12141.61034375 |
transcript.pyannote[1449].speaker |
SPEAKER_23 |
transcript.pyannote[1449].start |
12141.91409375 |
transcript.pyannote[1449].end |
12145.76159375 |
transcript.pyannote[1450].speaker |
SPEAKER_23 |
transcript.pyannote[1450].start |
12145.98096875 |
transcript.pyannote[1450].end |
12146.03159375 |
transcript.pyannote[1451].speaker |
SPEAKER_23 |
transcript.pyannote[1451].start |
12146.08221875 |
transcript.pyannote[1451].end |
12148.66409375 |
transcript.pyannote[1452].speaker |
SPEAKER_23 |
transcript.pyannote[1452].start |
12148.69784375 |
transcript.pyannote[1452].end |
12149.65971875 |
transcript.pyannote[1453].speaker |
SPEAKER_23 |
transcript.pyannote[1453].start |
12149.74409375 |
transcript.pyannote[1453].end |
12152.02221875 |
transcript.pyannote[1454].speaker |
SPEAKER_23 |
transcript.pyannote[1454].start |
12152.78159375 |
transcript.pyannote[1454].end |
12153.74346875 |
transcript.pyannote[1455].speaker |
SPEAKER_23 |
transcript.pyannote[1455].start |
12154.26659375 |
transcript.pyannote[1455].end |
12155.19471875 |
transcript.pyannote[1456].speaker |
SPEAKER_23 |
transcript.pyannote[1456].start |
12155.76846875 |
transcript.pyannote[1456].end |
12158.08034375 |
transcript.pyannote[1457].speaker |
SPEAKER_23 |
transcript.pyannote[1457].start |
12159.76784375 |
transcript.pyannote[1457].end |
12160.76346875 |
transcript.pyannote[1458].speaker |
SPEAKER_23 |
transcript.pyannote[1458].start |
12160.83096875 |
transcript.pyannote[1458].end |
12161.82659375 |
transcript.pyannote[1459].speaker |
SPEAKER_23 |
transcript.pyannote[1459].start |
12162.24846875 |
transcript.pyannote[1459].end |
12165.92721875 |
transcript.pyannote[1460].speaker |
SPEAKER_23 |
transcript.pyannote[1460].start |
12166.02846875 |
transcript.pyannote[1460].end |
12170.55096875 |
transcript.pyannote[1461].speaker |
SPEAKER_23 |
transcript.pyannote[1461].start |
12170.80409375 |
transcript.pyannote[1461].end |
12178.29659375 |
transcript.pyannote[1462].speaker |
SPEAKER_23 |
transcript.pyannote[1462].start |
12178.90409375 |
transcript.pyannote[1462].end |
12182.92034375 |
transcript.pyannote[1463].speaker |
SPEAKER_23 |
transcript.pyannote[1463].start |
12183.24096875 |
transcript.pyannote[1463].end |
12185.94096875 |
transcript.pyannote[1464].speaker |
SPEAKER_17 |
transcript.pyannote[1464].start |
12186.61596875 |
transcript.pyannote[1464].end |
12211.94534375 |
transcript.pyannote[1465].speaker |
SPEAKER_16 |
transcript.pyannote[1465].start |
12195.08721875 |
transcript.pyannote[1465].end |
12195.28971875 |
transcript.pyannote[1466].speaker |
SPEAKER_16 |
transcript.pyannote[1466].start |
12195.32346875 |
transcript.pyannote[1466].end |
12195.34034375 |
transcript.pyannote[1467].speaker |
SPEAKER_23 |
transcript.pyannote[1467].start |
12211.94534375 |
transcript.pyannote[1467].end |
12214.17284375 |
transcript.pyannote[1468].speaker |
SPEAKER_17 |
transcript.pyannote[1468].start |
12215.13471875 |
transcript.pyannote[1468].end |
12217.48034375 |
transcript.pyannote[1469].speaker |
SPEAKER_23 |
transcript.pyannote[1469].start |
12218.07096875 |
transcript.pyannote[1469].end |
12221.81721875 |
transcript.pyannote[1470].speaker |
SPEAKER_23 |
transcript.pyannote[1470].start |
12222.54284375 |
transcript.pyannote[1470].end |
12224.26409375 |
transcript.pyannote[1471].speaker |
SPEAKER_23 |
transcript.pyannote[1471].start |
12225.31034375 |
transcript.pyannote[1471].end |
12226.33971875 |
transcript.pyannote[1472].speaker |
SPEAKER_23 |
transcript.pyannote[1472].start |
12227.25096875 |
transcript.pyannote[1472].end |
12228.66846875 |
transcript.pyannote[1473].speaker |
SPEAKER_23 |
transcript.pyannote[1473].start |
12230.40659375 |
transcript.pyannote[1473].end |
12231.57096875 |
transcript.pyannote[1474].speaker |
SPEAKER_23 |
transcript.pyannote[1474].start |
12231.95909375 |
transcript.pyannote[1474].end |
12233.34284375 |
transcript.pyannote[1475].speaker |
SPEAKER_23 |
transcript.pyannote[1475].start |
12233.96721875 |
transcript.pyannote[1475].end |
12234.87846875 |
transcript.pyannote[1476].speaker |
SPEAKER_23 |
transcript.pyannote[1476].start |
12235.26659375 |
transcript.pyannote[1476].end |
12236.49846875 |
transcript.pyannote[1477].speaker |
SPEAKER_23 |
transcript.pyannote[1477].start |
12237.49409375 |
transcript.pyannote[1477].end |
12239.50221875 |
transcript.pyannote[1478].speaker |
SPEAKER_23 |
transcript.pyannote[1478].start |
12239.97471875 |
transcript.pyannote[1478].end |
12243.06284375 |
transcript.pyannote[1479].speaker |
SPEAKER_23 |
transcript.pyannote[1479].start |
12244.07534375 |
transcript.pyannote[1479].end |
12244.69971875 |
transcript.pyannote[1480].speaker |
SPEAKER_23 |
transcript.pyannote[1480].start |
12245.72909375 |
transcript.pyannote[1480].end |
12246.31971875 |
transcript.pyannote[1481].speaker |
SPEAKER_23 |
transcript.pyannote[1481].start |
12247.34909375 |
transcript.pyannote[1481].end |
12250.97721875 |
transcript.pyannote[1482].speaker |
SPEAKER_23 |
transcript.pyannote[1482].start |
12251.73659375 |
transcript.pyannote[1482].end |
12252.58034375 |
transcript.pyannote[1483].speaker |
SPEAKER_23 |
transcript.pyannote[1483].start |
12253.47471875 |
transcript.pyannote[1483].end |
12254.06534375 |
transcript.pyannote[1484].speaker |
SPEAKER_23 |
transcript.pyannote[1484].start |
12254.82471875 |
transcript.pyannote[1484].end |
12267.22784375 |
transcript.pyannote[1485].speaker |
SPEAKER_23 |
transcript.pyannote[1485].start |
12268.12221875 |
transcript.pyannote[1485].end |
12269.23596875 |
transcript.pyannote[1486].speaker |
SPEAKER_23 |
transcript.pyannote[1486].start |
12269.65784375 |
transcript.pyannote[1486].end |
12271.51409375 |
transcript.pyannote[1487].speaker |
SPEAKER_23 |
transcript.pyannote[1487].start |
12272.49284375 |
transcript.pyannote[1487].end |
12274.34909375 |
transcript.pyannote[1488].speaker |
SPEAKER_23 |
transcript.pyannote[1488].start |
12274.38284375 |
transcript.pyannote[1488].end |
12275.61471875 |
transcript.pyannote[1489].speaker |
SPEAKER_23 |
transcript.pyannote[1489].start |
12276.39096875 |
transcript.pyannote[1489].end |
12278.56784375 |
transcript.pyannote[1490].speaker |
SPEAKER_23 |
transcript.pyannote[1490].start |
12280.27221875 |
transcript.pyannote[1490].end |
12281.50409375 |
transcript.pyannote[1491].speaker |
SPEAKER_23 |
transcript.pyannote[1491].start |
12281.68971875 |
transcript.pyannote[1491].end |
12283.47846875 |
transcript.pyannote[1492].speaker |
SPEAKER_23 |
transcript.pyannote[1492].start |
12284.59221875 |
transcript.pyannote[1492].end |
12286.26284375 |
transcript.pyannote[1493].speaker |
SPEAKER_23 |
transcript.pyannote[1493].start |
12286.87034375 |
transcript.pyannote[1493].end |
12288.82784375 |
transcript.pyannote[1494].speaker |
SPEAKER_23 |
transcript.pyannote[1494].start |
12289.41846875 |
transcript.pyannote[1494].end |
12292.48971875 |
transcript.pyannote[1495].speaker |
SPEAKER_23 |
transcript.pyannote[1495].start |
12292.97909375 |
transcript.pyannote[1495].end |
12293.56971875 |
transcript.pyannote[1496].speaker |
SPEAKER_23 |
transcript.pyannote[1496].start |
12294.12659375 |
transcript.pyannote[1496].end |
12295.74659375 |
transcript.pyannote[1497].speaker |
SPEAKER_23 |
transcript.pyannote[1497].start |
12296.82659375 |
transcript.pyannote[1497].end |
12298.15971875 |
transcript.pyannote[1498].speaker |
SPEAKER_23 |
transcript.pyannote[1498].start |
12298.83471875 |
transcript.pyannote[1498].end |
12303.32346875 |
transcript.pyannote[1499].speaker |
SPEAKER_23 |
transcript.pyannote[1499].start |
12303.64409375 |
transcript.pyannote[1499].end |
12306.74909375 |
transcript.pyannote[1500].speaker |
SPEAKER_23 |
transcript.pyannote[1500].start |
12306.96846875 |
transcript.pyannote[1500].end |
12307.64346875 |
transcript.pyannote[1501].speaker |
SPEAKER_23 |
transcript.pyannote[1501].start |
12307.99784375 |
transcript.pyannote[1501].end |
12311.35596875 |
transcript.pyannote[1502].speaker |
SPEAKER_23 |
transcript.pyannote[1502].start |
12311.89596875 |
transcript.pyannote[1502].end |
12315.54096875 |
transcript.pyannote[1503].speaker |
SPEAKER_23 |
transcript.pyannote[1503].start |
12316.01346875 |
transcript.pyannote[1503].end |
12318.66284375 |
transcript.pyannote[1504].speaker |
SPEAKER_23 |
transcript.pyannote[1504].start |
12319.11846875 |
transcript.pyannote[1504].end |
12320.67096875 |
transcript.pyannote[1505].speaker |
SPEAKER_23 |
transcript.pyannote[1505].start |
12321.37971875 |
transcript.pyannote[1505].end |
12321.91971875 |
transcript.pyannote[1506].speaker |
SPEAKER_23 |
transcript.pyannote[1506].start |
12322.37534375 |
transcript.pyannote[1506].end |
12322.94909375 |
transcript.pyannote[1507].speaker |
SPEAKER_23 |
transcript.pyannote[1507].start |
12324.58596875 |
transcript.pyannote[1507].end |
12335.72346875 |
transcript.pyannote[1508].speaker |
SPEAKER_23 |
transcript.pyannote[1508].start |
12336.38159375 |
transcript.pyannote[1508].end |
12338.00159375 |
transcript.pyannote[1509].speaker |
SPEAKER_23 |
transcript.pyannote[1509].start |
12338.81159375 |
transcript.pyannote[1509].end |
12339.70596875 |
transcript.pyannote[1510].speaker |
SPEAKER_23 |
transcript.pyannote[1510].start |
12340.49909375 |
transcript.pyannote[1510].end |
12344.19471875 |
transcript.pyannote[1511].speaker |
SPEAKER_23 |
transcript.pyannote[1511].start |
12344.61659375 |
transcript.pyannote[1511].end |
12346.59096875 |
transcript.pyannote[1512].speaker |
SPEAKER_23 |
transcript.pyannote[1512].start |
12347.16471875 |
transcript.pyannote[1512].end |
12351.55221875 |
transcript.pyannote[1513].speaker |
SPEAKER_23 |
transcript.pyannote[1513].start |
12352.04159375 |
transcript.pyannote[1513].end |
12354.04971875 |
transcript.pyannote[1514].speaker |
SPEAKER_23 |
transcript.pyannote[1514].start |
12354.57284375 |
transcript.pyannote[1514].end |
12355.29846875 |
transcript.pyannote[1515].speaker |
SPEAKER_23 |
transcript.pyannote[1515].start |
12355.82159375 |
transcript.pyannote[1515].end |
12357.98159375 |
transcript.pyannote[1516].speaker |
SPEAKER_23 |
transcript.pyannote[1516].start |
12358.04909375 |
transcript.pyannote[1516].end |
12372.93284375 |
transcript.pyannote[1517].speaker |
SPEAKER_23 |
transcript.pyannote[1517].start |
12373.43909375 |
transcript.pyannote[1517].end |
12376.96596875 |
transcript.pyannote[1518].speaker |
SPEAKER_15 |
transcript.pyannote[1518].start |
12376.74659375 |
transcript.pyannote[1518].end |
12377.47221875 |
transcript.pyannote[1519].speaker |
SPEAKER_23 |
transcript.pyannote[1519].start |
12377.47221875 |
transcript.pyannote[1519].end |
12381.42096875 |
transcript.pyannote[1520].speaker |
SPEAKER_15 |
transcript.pyannote[1520].start |
12379.98659375 |
transcript.pyannote[1520].end |
12381.10034375 |
transcript.pyannote[1521].speaker |
SPEAKER_23 |
transcript.pyannote[1521].start |
12382.68659375 |
transcript.pyannote[1521].end |
12386.61846875 |
transcript.pyannote[1522].speaker |
SPEAKER_23 |
transcript.pyannote[1522].start |
12387.05721875 |
transcript.pyannote[1522].end |
12393.04784375 |
transcript.pyannote[1523].speaker |
SPEAKER_17 |
transcript.pyannote[1523].start |
12393.87471875 |
transcript.pyannote[1523].end |
12395.14034375 |
transcript.pyannote[1524].speaker |
SPEAKER_23 |
transcript.pyannote[1524].start |
12395.34284375 |
transcript.pyannote[1524].end |
12397.36784375 |
transcript.pyannote[1525].speaker |
SPEAKER_17 |
transcript.pyannote[1525].start |
12397.92471875 |
transcript.pyannote[1525].end |
12400.91159375 |
transcript.pyannote[1526].speaker |
SPEAKER_23 |
transcript.pyannote[1526].start |
12402.12659375 |
transcript.pyannote[1526].end |
12405.43409375 |
transcript.pyannote[1527].speaker |
SPEAKER_17 |
transcript.pyannote[1527].start |
12405.72096875 |
transcript.pyannote[1527].end |
12410.07471875 |
transcript.pyannote[1528].speaker |
SPEAKER_23 |
transcript.pyannote[1528].start |
12407.94846875 |
transcript.pyannote[1528].end |
12408.53909375 |
transcript.pyannote[1529].speaker |
SPEAKER_23 |
transcript.pyannote[1529].start |
12410.07471875 |
transcript.pyannote[1529].end |
12413.06159375 |
transcript.pyannote[1530].speaker |
SPEAKER_23 |
transcript.pyannote[1530].start |
12413.21346875 |
transcript.pyannote[1530].end |
12415.05284375 |
transcript.pyannote[1531].speaker |
SPEAKER_23 |
transcript.pyannote[1531].start |
12415.59284375 |
transcript.pyannote[1531].end |
12420.30096875 |
transcript.pyannote[1532].speaker |
SPEAKER_23 |
transcript.pyannote[1532].start |
12420.90846875 |
transcript.pyannote[1532].end |
12430.96596875 |
transcript.pyannote[1533].speaker |
SPEAKER_23 |
transcript.pyannote[1533].start |
12431.84346875 |
transcript.pyannote[1533].end |
12438.10409375 |
transcript.pyannote[1534].speaker |
SPEAKER_17 |
transcript.pyannote[1534].start |
12438.66096875 |
transcript.pyannote[1534].end |
12452.05971875 |
transcript.pyannote[1535].speaker |
SPEAKER_23 |
transcript.pyannote[1535].start |
12451.21596875 |
transcript.pyannote[1535].end |
12453.10596875 |
transcript.pyannote[1536].speaker |
SPEAKER_17 |
transcript.pyannote[1536].start |
12453.67971875 |
transcript.pyannote[1536].end |
12460.36221875 |
transcript.pyannote[1537].speaker |
SPEAKER_17 |
transcript.pyannote[1537].start |
12460.37909375 |
transcript.pyannote[1537].end |
12464.19284375 |
transcript.pyannote[1538].speaker |
SPEAKER_23 |
transcript.pyannote[1538].start |
12464.83409375 |
transcript.pyannote[1538].end |
12468.24284375 |
transcript.pyannote[1539].speaker |
SPEAKER_23 |
transcript.pyannote[1539].start |
12468.69846875 |
transcript.pyannote[1539].end |
12469.42409375 |
transcript.pyannote[1540].speaker |
SPEAKER_23 |
transcript.pyannote[1540].start |
12470.01471875 |
transcript.pyannote[1540].end |
12471.19596875 |
transcript.pyannote[1541].speaker |
SPEAKER_23 |
transcript.pyannote[1541].start |
12471.71909375 |
transcript.pyannote[1541].end |
12473.49096875 |
transcript.pyannote[1542].speaker |
SPEAKER_23 |
transcript.pyannote[1542].start |
12474.11534375 |
transcript.pyannote[1542].end |
12477.97971875 |
transcript.pyannote[1543].speaker |
SPEAKER_23 |
transcript.pyannote[1543].start |
12478.33409375 |
transcript.pyannote[1543].end |
12485.97846875 |
transcript.pyannote[1544].speaker |
SPEAKER_23 |
transcript.pyannote[1544].start |
12486.36659375 |
transcript.pyannote[1544].end |
12498.02721875 |
transcript.pyannote[1545].speaker |
SPEAKER_17 |
transcript.pyannote[1545].start |
12498.55034375 |
transcript.pyannote[1545].end |
12508.28721875 |
transcript.pyannote[1546].speaker |
SPEAKER_17 |
transcript.pyannote[1546].start |
12508.32096875 |
transcript.pyannote[1546].end |
12510.75096875 |
transcript.pyannote[1547].speaker |
SPEAKER_17 |
transcript.pyannote[1547].start |
12511.22346875 |
transcript.pyannote[1547].end |
12517.51784375 |
transcript.pyannote[1548].speaker |
SPEAKER_23 |
transcript.pyannote[1548].start |
12517.66971875 |
transcript.pyannote[1548].end |
12536.62034375 |
transcript.pyannote[1549].speaker |
SPEAKER_23 |
transcript.pyannote[1549].start |
12537.09284375 |
transcript.pyannote[1549].end |
12550.91346875 |
transcript.pyannote[1550].speaker |
SPEAKER_06 |
transcript.pyannote[1550].start |
12550.20471875 |
transcript.pyannote[1550].end |
12555.68909375 |
transcript.pyannote[1551].speaker |
SPEAKER_05 |
transcript.pyannote[1551].start |
12563.60346875 |
transcript.pyannote[1551].end |
12564.97034375 |
transcript.pyannote[1552].speaker |
SPEAKER_05 |
transcript.pyannote[1552].start |
12566.35409375 |
transcript.pyannote[1552].end |
12566.82659375 |
transcript.pyannote[1553].speaker |
SPEAKER_05 |
transcript.pyannote[1553].start |
12572.95221875 |
transcript.pyannote[1553].end |
12591.68346875 |
transcript.pyannote[1554].speaker |
SPEAKER_05 |
transcript.pyannote[1554].start |
12592.34159375 |
transcript.pyannote[1554].end |
12594.72096875 |
transcript.pyannote[1555].speaker |
SPEAKER_05 |
transcript.pyannote[1555].start |
12595.26096875 |
transcript.pyannote[1555].end |
12595.59846875 |
transcript.pyannote[1556].speaker |
SPEAKER_05 |
transcript.pyannote[1556].start |
12596.56034375 |
transcript.pyannote[1556].end |
12598.19721875 |
transcript.pyannote[1557].speaker |
SPEAKER_05 |
transcript.pyannote[1557].start |
12598.68659375 |
transcript.pyannote[1557].end |
12601.36971875 |
transcript.pyannote[1558].speaker |
SPEAKER_05 |
transcript.pyannote[1558].start |
12601.65659375 |
transcript.pyannote[1558].end |
12602.43284375 |
transcript.pyannote[1559].speaker |
SPEAKER_17 |
transcript.pyannote[1559].start |
12602.43284375 |
transcript.pyannote[1559].end |
12602.51721875 |
transcript.pyannote[1560].speaker |
SPEAKER_05 |
transcript.pyannote[1560].start |
12603.00659375 |
transcript.pyannote[1560].end |
12603.81659375 |
transcript.pyannote[1561].speaker |
SPEAKER_17 |
transcript.pyannote[1561].start |
12603.81659375 |
transcript.pyannote[1561].end |
12603.85034375 |
transcript.pyannote[1562].speaker |
SPEAKER_05 |
transcript.pyannote[1562].start |
12604.71096875 |
transcript.pyannote[1562].end |
12604.96409375 |
transcript.pyannote[1563].speaker |
SPEAKER_17 |
transcript.pyannote[1563].start |
12604.96409375 |
transcript.pyannote[1563].end |
12605.03159375 |
transcript.pyannote[1564].speaker |
SPEAKER_05 |
transcript.pyannote[1564].start |
12605.03159375 |
transcript.pyannote[1564].end |
12605.97659375 |
transcript.pyannote[1565].speaker |
SPEAKER_17 |
transcript.pyannote[1565].start |
12605.97659375 |
transcript.pyannote[1565].end |
12606.02721875 |
transcript.pyannote[1566].speaker |
SPEAKER_05 |
transcript.pyannote[1566].start |
12606.02721875 |
transcript.pyannote[1566].end |
12606.97221875 |
transcript.pyannote[1567].speaker |
SPEAKER_17 |
transcript.pyannote[1567].start |
12606.97221875 |
transcript.pyannote[1567].end |
12607.02284375 |
transcript.pyannote[1568].speaker |
SPEAKER_05 |
transcript.pyannote[1568].start |
12607.02284375 |
transcript.pyannote[1568].end |
12627.01971875 |
transcript.pyannote[1569].speaker |
SPEAKER_05 |
transcript.pyannote[1569].start |
12628.50471875 |
transcript.pyannote[1569].end |
12649.90221875 |
transcript.pyannote[1570].speaker |
SPEAKER_05 |
transcript.pyannote[1570].start |
12650.72909375 |
transcript.pyannote[1570].end |
12658.05284375 |
transcript.pyannote[1571].speaker |
SPEAKER_05 |
transcript.pyannote[1571].start |
12658.18784375 |
transcript.pyannote[1571].end |
12659.50409375 |
transcript.pyannote[1572].speaker |
SPEAKER_17 |
transcript.pyannote[1572].start |
12660.39846875 |
transcript.pyannote[1572].end |
12660.85409375 |
transcript.pyannote[1573].speaker |
SPEAKER_17 |
transcript.pyannote[1573].start |
12660.97221875 |
transcript.pyannote[1573].end |
12675.51846875 |
transcript.pyannote[1574].speaker |
SPEAKER_05 |
transcript.pyannote[1574].start |
12674.94471875 |
transcript.pyannote[1574].end |
12674.97846875 |
transcript.pyannote[1575].speaker |
SPEAKER_05 |
transcript.pyannote[1575].start |
12675.51846875 |
transcript.pyannote[1575].end |
12675.80534375 |
transcript.pyannote[1576].speaker |
SPEAKER_17 |
transcript.pyannote[1576].start |
12675.80534375 |
transcript.pyannote[1576].end |
12676.02471875 |
transcript.pyannote[1577].speaker |
SPEAKER_05 |
transcript.pyannote[1577].start |
12676.02471875 |
transcript.pyannote[1577].end |
12676.96971875 |
transcript.pyannote[1578].speaker |
SPEAKER_17 |
transcript.pyannote[1578].start |
12676.96971875 |
transcript.pyannote[1578].end |
12677.03721875 |
transcript.pyannote[1579].speaker |
SPEAKER_05 |
transcript.pyannote[1579].start |
12677.03721875 |
transcript.pyannote[1579].end |
12677.96534375 |
transcript.pyannote[1580].speaker |
SPEAKER_17 |
transcript.pyannote[1580].start |
12677.96534375 |
transcript.pyannote[1580].end |
12679.70346875 |
transcript.pyannote[1581].speaker |
SPEAKER_17 |
transcript.pyannote[1581].start |
12680.36159375 |
transcript.pyannote[1581].end |
12684.00659375 |
transcript.pyannote[1582].speaker |
SPEAKER_05 |
transcript.pyannote[1582].start |
12683.78721875 |
transcript.pyannote[1582].end |
12696.46034375 |
transcript.pyannote[1583].speaker |
SPEAKER_05 |
transcript.pyannote[1583].start |
12697.06784375 |
transcript.pyannote[1583].end |
12697.84409375 |
transcript.pyannote[1584].speaker |
SPEAKER_05 |
transcript.pyannote[1584].start |
12698.43471875 |
transcript.pyannote[1584].end |
12702.63659375 |
transcript.pyannote[1585].speaker |
SPEAKER_05 |
transcript.pyannote[1585].start |
12703.36221875 |
transcript.pyannote[1585].end |
12704.32409375 |
transcript.pyannote[1586].speaker |
SPEAKER_05 |
transcript.pyannote[1586].start |
12705.47159375 |
transcript.pyannote[1586].end |
12705.97784375 |
transcript.pyannote[1587].speaker |
SPEAKER_17 |
transcript.pyannote[1587].start |
12705.97784375 |
transcript.pyannote[1587].end |
12706.19721875 |
transcript.pyannote[1588].speaker |
SPEAKER_17 |
transcript.pyannote[1588].start |
12706.43346875 |
transcript.pyannote[1588].end |
12707.02409375 |
transcript.pyannote[1589].speaker |
SPEAKER_17 |
transcript.pyannote[1589].start |
12707.39534375 |
transcript.pyannote[1589].end |
12729.46784375 |
transcript.pyannote[1590].speaker |
SPEAKER_04 |
transcript.pyannote[1590].start |
12710.24721875 |
transcript.pyannote[1590].end |
12711.96846875 |
transcript.pyannote[1591].speaker |
SPEAKER_00 |
transcript.pyannote[1591].start |
12711.96846875 |
transcript.pyannote[1591].end |
12712.44096875 |
transcript.pyannote[1592].speaker |
SPEAKER_00 |
transcript.pyannote[1592].start |
12719.93346875 |
transcript.pyannote[1592].end |
12720.45659375 |
transcript.pyannote[1593].speaker |
SPEAKER_05 |
transcript.pyannote[1593].start |
12729.46784375 |
transcript.pyannote[1593].end |
12748.50284375 |
transcript.pyannote[1594].speaker |
SPEAKER_05 |
transcript.pyannote[1594].start |
12749.11034375 |
transcript.pyannote[1594].end |
12751.60784375 |
transcript.pyannote[1595].speaker |
SPEAKER_05 |
transcript.pyannote[1595].start |
12752.19846875 |
transcript.pyannote[1595].end |
12754.86471875 |
transcript.pyannote[1596].speaker |
SPEAKER_05 |
transcript.pyannote[1596].start |
12755.33721875 |
transcript.pyannote[1596].end |
12757.61534375 |
transcript.pyannote[1597].speaker |
SPEAKER_05 |
transcript.pyannote[1597].start |
12757.98659375 |
transcript.pyannote[1597].end |
12758.77971875 |
transcript.pyannote[1598].speaker |
SPEAKER_05 |
transcript.pyannote[1598].start |
12759.40409375 |
transcript.pyannote[1598].end |
12759.94409375 |
transcript.pyannote[1599].speaker |
SPEAKER_05 |
transcript.pyannote[1599].start |
12760.83846875 |
transcript.pyannote[1599].end |
12762.05346875 |
transcript.pyannote[1600].speaker |
SPEAKER_05 |
transcript.pyannote[1600].start |
12762.32346875 |
transcript.pyannote[1600].end |
12763.67346875 |
transcript.pyannote[1601].speaker |
SPEAKER_05 |
transcript.pyannote[1601].start |
12763.92659375 |
transcript.pyannote[1601].end |
12765.44534375 |
transcript.pyannote[1602].speaker |
SPEAKER_05 |
transcript.pyannote[1602].start |
12765.90096875 |
transcript.pyannote[1602].end |
12770.59221875 |
transcript.pyannote[1603].speaker |
SPEAKER_05 |
transcript.pyannote[1603].start |
12772.31346875 |
transcript.pyannote[1603].end |
12777.73034375 |
transcript.pyannote[1604].speaker |
SPEAKER_05 |
transcript.pyannote[1604].start |
12778.20284375 |
transcript.pyannote[1604].end |
12783.97409375 |
transcript.pyannote[1605].speaker |
SPEAKER_05 |
transcript.pyannote[1605].start |
12784.29471875 |
transcript.pyannote[1605].end |
12790.89284375 |
transcript.pyannote[1606].speaker |
SPEAKER_05 |
transcript.pyannote[1606].start |
12791.14596875 |
transcript.pyannote[1606].end |
12795.51659375 |
transcript.pyannote[1607].speaker |
SPEAKER_05 |
transcript.pyannote[1607].start |
12796.22534375 |
transcript.pyannote[1607].end |
12798.92534375 |
transcript.pyannote[1608].speaker |
SPEAKER_05 |
transcript.pyannote[1608].start |
12799.44846875 |
transcript.pyannote[1608].end |
12802.33409375 |
transcript.pyannote[1609].speaker |
SPEAKER_05 |
transcript.pyannote[1609].start |
12802.45221875 |
transcript.pyannote[1609].end |
12806.63721875 |
transcript.pyannote[1610].speaker |
SPEAKER_05 |
transcript.pyannote[1610].start |
12807.29534375 |
transcript.pyannote[1610].end |
12809.50596875 |
transcript.pyannote[1611].speaker |
SPEAKER_05 |
transcript.pyannote[1611].start |
12810.55221875 |
transcript.pyannote[1611].end |
12811.80096875 |
transcript.pyannote[1612].speaker |
SPEAKER_17 |
transcript.pyannote[1612].start |
12810.90659375 |
transcript.pyannote[1612].end |
12819.02346875 |
transcript.pyannote[1613].speaker |
SPEAKER_05 |
transcript.pyannote[1613].start |
12812.96534375 |
transcript.pyannote[1613].end |
12813.26909375 |
transcript.pyannote[1614].speaker |
SPEAKER_05 |
transcript.pyannote[1614].start |
12819.02346875 |
transcript.pyannote[1614].end |
12827.71409375 |
transcript.pyannote[1615].speaker |
SPEAKER_05 |
transcript.pyannote[1615].start |
12828.27096875 |
transcript.pyannote[1615].end |
12829.35096875 |
transcript.pyannote[1616].speaker |
SPEAKER_05 |
transcript.pyannote[1616].start |
12830.22846875 |
transcript.pyannote[1616].end |
12830.98784375 |
transcript.pyannote[1617].speaker |
SPEAKER_05 |
transcript.pyannote[1617].start |
12832.13534375 |
transcript.pyannote[1617].end |
12843.03659375 |
transcript.pyannote[1618].speaker |
SPEAKER_16 |
transcript.pyannote[1618].start |
12832.48971875 |
transcript.pyannote[1618].end |
12832.86096875 |
transcript.pyannote[1619].speaker |
SPEAKER_16 |
transcript.pyannote[1619].start |
12832.97909375 |
transcript.pyannote[1619].end |
12833.11409375 |
transcript.pyannote[1620].speaker |
SPEAKER_05 |
transcript.pyannote[1620].start |
12843.55971875 |
transcript.pyannote[1620].end |
12852.30096875 |
transcript.pyannote[1621].speaker |
SPEAKER_05 |
transcript.pyannote[1621].start |
12852.80721875 |
transcript.pyannote[1621].end |
12855.57471875 |
transcript.pyannote[1622].speaker |
SPEAKER_05 |
transcript.pyannote[1622].start |
12856.51971875 |
transcript.pyannote[1622].end |
12859.92846875 |
transcript.pyannote[1623].speaker |
SPEAKER_05 |
transcript.pyannote[1623].start |
12860.43471875 |
transcript.pyannote[1623].end |
12860.82284375 |
transcript.pyannote[1624].speaker |
SPEAKER_05 |
transcript.pyannote[1624].start |
12862.12221875 |
transcript.pyannote[1624].end |
12865.27784375 |
transcript.pyannote[1625].speaker |
SPEAKER_17 |
transcript.pyannote[1625].start |
12865.64909375 |
transcript.pyannote[1625].end |
12870.03659375 |
transcript.pyannote[1626].speaker |
SPEAKER_05 |
transcript.pyannote[1626].start |
12870.03659375 |
transcript.pyannote[1626].end |
12873.42846875 |
transcript.pyannote[1627].speaker |
SPEAKER_05 |
transcript.pyannote[1627].start |
12873.96846875 |
transcript.pyannote[1627].end |
12876.09471875 |
transcript.pyannote[1628].speaker |
SPEAKER_05 |
transcript.pyannote[1628].start |
12876.58409375 |
transcript.pyannote[1628].end |
12893.93159375 |
transcript.pyannote[1629].speaker |
SPEAKER_05 |
transcript.pyannote[1629].start |
12894.67409375 |
transcript.pyannote[1629].end |
12895.58534375 |
transcript.pyannote[1630].speaker |
SPEAKER_05 |
transcript.pyannote[1630].start |
12896.17596875 |
transcript.pyannote[1630].end |
12898.50471875 |
transcript.pyannote[1631].speaker |
SPEAKER_05 |
transcript.pyannote[1631].start |
12898.79159375 |
transcript.pyannote[1631].end |
12902.72346875 |
transcript.pyannote[1632].speaker |
SPEAKER_05 |
transcript.pyannote[1632].start |
12903.60096875 |
transcript.pyannote[1632].end |
12904.12409375 |
transcript.pyannote[1633].speaker |
SPEAKER_05 |
transcript.pyannote[1633].start |
12904.90034375 |
transcript.pyannote[1633].end |
12908.86596875 |
transcript.pyannote[1634].speaker |
SPEAKER_05 |
transcript.pyannote[1634].start |
12908.89971875 |
transcript.pyannote[1634].end |
12913.72596875 |
transcript.pyannote[1635].speaker |
SPEAKER_05 |
transcript.pyannote[1635].start |
12913.96221875 |
transcript.pyannote[1635].end |
12939.93284375 |
transcript.pyannote[1636].speaker |
SPEAKER_17 |
transcript.pyannote[1636].start |
12940.48971875 |
transcript.pyannote[1636].end |
12945.75471875 |
transcript.pyannote[1637].speaker |
SPEAKER_17 |
transcript.pyannote[1637].start |
12945.99096875 |
transcript.pyannote[1637].end |
12951.03659375 |
transcript.pyannote[1638].speaker |
SPEAKER_05 |
transcript.pyannote[1638].start |
12951.03659375 |
transcript.pyannote[1638].end |
12953.14596875 |
transcript.pyannote[1639].speaker |
SPEAKER_17 |
transcript.pyannote[1639].start |
12952.28534375 |
transcript.pyannote[1639].end |
12952.97721875 |
transcript.pyannote[1640].speaker |
SPEAKER_07 |
transcript.pyannote[1640].start |
12953.14596875 |
transcript.pyannote[1640].end |
12953.16284375 |
transcript.pyannote[1641].speaker |
SPEAKER_17 |
transcript.pyannote[1641].start |
12953.58471875 |
transcript.pyannote[1641].end |
12953.90534375 |
transcript.pyannote[1642].speaker |
SPEAKER_05 |
transcript.pyannote[1642].start |
12953.90534375 |
transcript.pyannote[1642].end |
12956.84159375 |
transcript.pyannote[1643].speaker |
SPEAKER_07 |
transcript.pyannote[1643].start |
12956.84159375 |
transcript.pyannote[1643].end |
12956.87534375 |
transcript.pyannote[1644].speaker |
SPEAKER_06 |
transcript.pyannote[1644].start |
12956.87534375 |
transcript.pyannote[1644].end |
12957.78659375 |
transcript.pyannote[1645].speaker |
SPEAKER_07 |
transcript.pyannote[1645].start |
12957.78659375 |
transcript.pyannote[1645].end |
12960.68909375 |
transcript.pyannote[1646].speaker |
SPEAKER_07 |
transcript.pyannote[1646].start |
12961.53284375 |
transcript.pyannote[1646].end |
12965.41409375 |
transcript.pyannote[1647].speaker |
SPEAKER_07 |
transcript.pyannote[1647].start |
12965.93721875 |
transcript.pyannote[1647].end |
12968.97471875 |
transcript.pyannote[1648].speaker |
SPEAKER_05 |
transcript.pyannote[1648].start |
12965.98784375 |
transcript.pyannote[1648].end |
12966.29159375 |
transcript.pyannote[1649].speaker |
SPEAKER_05 |
transcript.pyannote[1649].start |
12966.81471875 |
transcript.pyannote[1649].end |
12967.55721875 |
transcript.pyannote[1650].speaker |
SPEAKER_05 |
transcript.pyannote[1650].start |
12968.16471875 |
transcript.pyannote[1650].end |
12968.51909375 |
transcript.pyannote[1651].speaker |
SPEAKER_05 |
transcript.pyannote[1651].start |
12968.97471875 |
transcript.pyannote[1651].end |
12969.04221875 |
transcript.pyannote[1652].speaker |
SPEAKER_07 |
transcript.pyannote[1652].start |
12969.04221875 |
transcript.pyannote[1652].end |
12978.01971875 |
transcript.pyannote[1653].speaker |
SPEAKER_05 |
transcript.pyannote[1653].start |
12969.07596875 |
transcript.pyannote[1653].end |
12969.37971875 |
transcript.pyannote[1654].speaker |
SPEAKER_05 |
transcript.pyannote[1654].start |
12972.18096875 |
transcript.pyannote[1654].end |
12972.82221875 |
transcript.pyannote[1655].speaker |
SPEAKER_05 |
transcript.pyannote[1655].start |
12974.86409375 |
transcript.pyannote[1655].end |
12987.68909375 |
transcript.pyannote[1656].speaker |
SPEAKER_06 |
transcript.pyannote[1656].start |
12978.01971875 |
transcript.pyannote[1656].end |
12978.61034375 |
transcript.pyannote[1657].speaker |
SPEAKER_07 |
transcript.pyannote[1657].start |
12978.61034375 |
transcript.pyannote[1657].end |
12978.96471875 |
transcript.pyannote[1658].speaker |
SPEAKER_06 |
transcript.pyannote[1658].start |
12978.96471875 |
transcript.pyannote[1658].end |
12980.97284375 |
transcript.pyannote[1659].speaker |
SPEAKER_26 |
transcript.pyannote[1659].start |
12980.97284375 |
transcript.pyannote[1659].end |
12982.15409375 |
transcript.pyannote[1660].speaker |
SPEAKER_05 |
transcript.pyannote[1660].start |
12988.09409375 |
transcript.pyannote[1660].end |
12989.81534375 |
transcript.pyannote[1661].speaker |
SPEAKER_06 |
transcript.pyannote[1661].start |
12989.81534375 |
transcript.pyannote[1661].end |
12994.72596875 |
transcript.pyannote[1662].speaker |
SPEAKER_05 |
transcript.pyannote[1662].start |
12989.95034375 |
transcript.pyannote[1662].end |
12990.15284375 |
transcript.pyannote[1663].speaker |
SPEAKER_15 |
transcript.pyannote[1663].start |
13009.20471875 |
transcript.pyannote[1663].end |
13012.42784375 |
transcript.pyannote[1664].speaker |
SPEAKER_16 |
transcript.pyannote[1664].start |
13019.32971875 |
transcript.pyannote[1664].end |
13019.36346875 |
transcript.pyannote[1665].speaker |
SPEAKER_15 |
transcript.pyannote[1665].start |
13019.36346875 |
transcript.pyannote[1665].end |
13032.12096875 |
transcript.pyannote[1666].speaker |
SPEAKER_16 |
transcript.pyannote[1666].start |
13019.48159375 |
transcript.pyannote[1666].end |
13020.46034375 |
transcript.pyannote[1667].speaker |
SPEAKER_15 |
transcript.pyannote[1667].start |
13032.57659375 |
transcript.pyannote[1667].end |
13036.40721875 |
transcript.pyannote[1668].speaker |
SPEAKER_15 |
transcript.pyannote[1668].start |
13036.54221875 |
transcript.pyannote[1668].end |
13047.59534375 |
transcript.pyannote[1669].speaker |
SPEAKER_15 |
transcript.pyannote[1669].start |
13047.88221875 |
transcript.pyannote[1669].end |
13066.41096875 |
transcript.pyannote[1670].speaker |
SPEAKER_15 |
transcript.pyannote[1670].start |
13067.10284375 |
transcript.pyannote[1670].end |
13068.09846875 |
transcript.pyannote[1671].speaker |
SPEAKER_15 |
transcript.pyannote[1671].start |
13068.97596875 |
transcript.pyannote[1671].end |
13074.76409375 |
transcript.pyannote[1672].speaker |
SPEAKER_15 |
transcript.pyannote[1672].start |
13075.33784375 |
transcript.pyannote[1672].end |
13080.51846875 |
transcript.pyannote[1673].speaker |
SPEAKER_15 |
transcript.pyannote[1673].start |
13081.37909375 |
transcript.pyannote[1673].end |
13087.23471875 |
transcript.pyannote[1674].speaker |
SPEAKER_15 |
transcript.pyannote[1674].start |
13087.31909375 |
transcript.pyannote[1674].end |
13091.75721875 |
transcript.pyannote[1675].speaker |
SPEAKER_15 |
transcript.pyannote[1675].start |
13092.61784375 |
transcript.pyannote[1675].end |
13105.51034375 |
transcript.pyannote[1676].speaker |
SPEAKER_15 |
transcript.pyannote[1676].start |
13105.98284375 |
transcript.pyannote[1676].end |
13106.35409375 |
transcript.pyannote[1677].speaker |
SPEAKER_15 |
transcript.pyannote[1677].start |
13106.92784375 |
transcript.pyannote[1677].end |
13107.97409375 |
transcript.pyannote[1678].speaker |
SPEAKER_15 |
transcript.pyannote[1678].start |
13108.75034375 |
transcript.pyannote[1678].end |
13110.82596875 |
transcript.pyannote[1679].speaker |
SPEAKER_15 |
transcript.pyannote[1679].start |
13111.09596875 |
transcript.pyannote[1679].end |
13112.02409375 |
transcript.pyannote[1680].speaker |
SPEAKER_15 |
transcript.pyannote[1680].start |
13112.47971875 |
transcript.pyannote[1680].end |
13116.59721875 |
transcript.pyannote[1681].speaker |
SPEAKER_15 |
transcript.pyannote[1681].start |
13117.40721875 |
transcript.pyannote[1681].end |
13124.47784375 |
transcript.pyannote[1682].speaker |
SPEAKER_15 |
transcript.pyannote[1682].start |
13125.16971875 |
transcript.pyannote[1682].end |
13127.21159375 |
transcript.pyannote[1683].speaker |
SPEAKER_15 |
transcript.pyannote[1683].start |
13128.47721875 |
transcript.pyannote[1683].end |
13129.65846875 |
transcript.pyannote[1684].speaker |
SPEAKER_15 |
transcript.pyannote[1684].start |
13130.21534375 |
transcript.pyannote[1684].end |
13131.04221875 |
transcript.pyannote[1685].speaker |
SPEAKER_15 |
transcript.pyannote[1685].start |
13131.78471875 |
transcript.pyannote[1685].end |
13133.60721875 |
transcript.pyannote[1686].speaker |
SPEAKER_15 |
transcript.pyannote[1686].start |
13134.23159375 |
transcript.pyannote[1686].end |
13138.02846875 |
transcript.pyannote[1687].speaker |
SPEAKER_15 |
transcript.pyannote[1687].start |
13138.51784375 |
transcript.pyannote[1687].end |
13143.46221875 |
transcript.pyannote[1688].speaker |
SPEAKER_15 |
transcript.pyannote[1688].start |
13143.83346875 |
transcript.pyannote[1688].end |
13145.74034375 |
transcript.pyannote[1689].speaker |
SPEAKER_15 |
transcript.pyannote[1689].start |
13146.04409375 |
transcript.pyannote[1689].end |
13149.87471875 |
transcript.pyannote[1690].speaker |
SPEAKER_17 |
transcript.pyannote[1690].start |
13150.68471875 |
transcript.pyannote[1690].end |
13158.37971875 |
transcript.pyannote[1691].speaker |
SPEAKER_17 |
transcript.pyannote[1691].start |
13158.41346875 |
transcript.pyannote[1691].end |
13161.43409375 |
transcript.pyannote[1692].speaker |
SPEAKER_15 |
transcript.pyannote[1692].start |
13161.43409375 |
transcript.pyannote[1692].end |
13167.40784375 |
transcript.pyannote[1693].speaker |
SPEAKER_17 |
transcript.pyannote[1693].start |
13164.06659375 |
transcript.pyannote[1693].end |
13165.48409375 |
transcript.pyannote[1694].speaker |
SPEAKER_17 |
transcript.pyannote[1694].start |
13166.26034375 |
transcript.pyannote[1694].end |
13173.16221875 |
transcript.pyannote[1695].speaker |
SPEAKER_17 |
transcript.pyannote[1695].start |
13173.58409375 |
transcript.pyannote[1695].end |
13183.43909375 |
transcript.pyannote[1696].speaker |
SPEAKER_15 |
transcript.pyannote[1696].start |
13182.13971875 |
transcript.pyannote[1696].end |
13186.12221875 |
transcript.pyannote[1697].speaker |
SPEAKER_17 |
transcript.pyannote[1697].start |
13186.39221875 |
transcript.pyannote[1697].end |
13193.54721875 |
transcript.pyannote[1698].speaker |
SPEAKER_15 |
transcript.pyannote[1698].start |
13193.74971875 |
transcript.pyannote[1698].end |
13196.66909375 |
transcript.pyannote[1699].speaker |
SPEAKER_17 |
transcript.pyannote[1699].start |
13196.19659375 |
transcript.pyannote[1699].end |
13196.58471875 |
transcript.pyannote[1700].speaker |
SPEAKER_15 |
transcript.pyannote[1700].start |
13197.24284375 |
transcript.pyannote[1700].end |
13198.32284375 |
transcript.pyannote[1701].speaker |
SPEAKER_15 |
transcript.pyannote[1701].start |
13198.50846875 |
transcript.pyannote[1701].end |
13200.16221875 |
transcript.pyannote[1702].speaker |
SPEAKER_15 |
transcript.pyannote[1702].start |
13200.48284375 |
transcript.pyannote[1702].end |
13202.44034375 |
transcript.pyannote[1703].speaker |
SPEAKER_15 |
transcript.pyannote[1703].start |
13203.38534375 |
transcript.pyannote[1703].end |
13204.58346875 |
transcript.pyannote[1704].speaker |
SPEAKER_15 |
transcript.pyannote[1704].start |
13205.10659375 |
transcript.pyannote[1704].end |
13207.30034375 |
transcript.pyannote[1705].speaker |
SPEAKER_15 |
transcript.pyannote[1705].start |
13207.78971875 |
transcript.pyannote[1705].end |
13209.02159375 |
transcript.pyannote[1706].speaker |
SPEAKER_15 |
transcript.pyannote[1706].start |
13209.27471875 |
transcript.pyannote[1706].end |
13210.37159375 |
transcript.pyannote[1707].speaker |
SPEAKER_15 |
transcript.pyannote[1707].start |
13210.86096875 |
transcript.pyannote[1707].end |
13212.10971875 |
transcript.pyannote[1708].speaker |
SPEAKER_15 |
transcript.pyannote[1708].start |
13213.05471875 |
transcript.pyannote[1708].end |
13213.83096875 |
transcript.pyannote[1709].speaker |
SPEAKER_15 |
transcript.pyannote[1709].start |
13214.52284375 |
transcript.pyannote[1709].end |
13215.58596875 |
transcript.pyannote[1710].speaker |
SPEAKER_15 |
transcript.pyannote[1710].start |
13216.53096875 |
transcript.pyannote[1710].end |
13218.37034375 |
transcript.pyannote[1711].speaker |
SPEAKER_15 |
transcript.pyannote[1711].start |
13218.79221875 |
transcript.pyannote[1711].end |
13219.85534375 |
transcript.pyannote[1712].speaker |
SPEAKER_15 |
transcript.pyannote[1712].start |
13220.32784375 |
transcript.pyannote[1712].end |
13221.40784375 |
transcript.pyannote[1713].speaker |
SPEAKER_15 |
transcript.pyannote[1713].start |
13221.81284375 |
transcript.pyannote[1713].end |
13224.04034375 |
transcript.pyannote[1714].speaker |
SPEAKER_15 |
transcript.pyannote[1714].start |
13224.98534375 |
transcript.pyannote[1714].end |
13227.19596875 |
transcript.pyannote[1715].speaker |
SPEAKER_15 |
transcript.pyannote[1715].start |
13227.97221875 |
transcript.pyannote[1715].end |
13229.62596875 |
transcript.pyannote[1716].speaker |
SPEAKER_15 |
transcript.pyannote[1716].start |
13230.52034375 |
transcript.pyannote[1716].end |
13231.00971875 |
transcript.pyannote[1717].speaker |
SPEAKER_15 |
transcript.pyannote[1717].start |
13231.38096875 |
transcript.pyannote[1717].end |
13236.29159375 |
transcript.pyannote[1718].speaker |
SPEAKER_15 |
transcript.pyannote[1718].start |
13237.32096875 |
transcript.pyannote[1718].end |
13238.50221875 |
transcript.pyannote[1719].speaker |
SPEAKER_15 |
transcript.pyannote[1719].start |
13239.56534375 |
transcript.pyannote[1719].end |
13244.44221875 |
transcript.pyannote[1720].speaker |
SPEAKER_15 |
transcript.pyannote[1720].start |
13245.28596875 |
transcript.pyannote[1720].end |
13245.58971875 |
transcript.pyannote[1721].speaker |
SPEAKER_15 |
transcript.pyannote[1721].start |
13246.48409375 |
transcript.pyannote[1721].end |
13247.74971875 |
transcript.pyannote[1722].speaker |
SPEAKER_15 |
transcript.pyannote[1722].start |
13248.40784375 |
transcript.pyannote[1722].end |
13252.40721875 |
transcript.pyannote[1723].speaker |
SPEAKER_15 |
transcript.pyannote[1723].start |
13252.96409375 |
transcript.pyannote[1723].end |
13255.47846875 |
transcript.pyannote[1724].speaker |
SPEAKER_15 |
transcript.pyannote[1724].start |
13256.03534375 |
transcript.pyannote[1724].end |
13259.41034375 |
transcript.pyannote[1725].speaker |
SPEAKER_15 |
transcript.pyannote[1725].start |
13259.73096875 |
transcript.pyannote[1725].end |
13260.74346875 |
transcript.pyannote[1726].speaker |
SPEAKER_15 |
transcript.pyannote[1726].start |
13261.11471875 |
transcript.pyannote[1726].end |
13261.46909375 |
transcript.pyannote[1727].speaker |
SPEAKER_15 |
transcript.pyannote[1727].start |
13261.65471875 |
transcript.pyannote[1727].end |
13263.44346875 |
transcript.pyannote[1728].speaker |
SPEAKER_15 |
transcript.pyannote[1728].start |
13263.71346875 |
transcript.pyannote[1728].end |
13266.00846875 |
transcript.pyannote[1729].speaker |
SPEAKER_15 |
transcript.pyannote[1729].start |
13266.24471875 |
transcript.pyannote[1729].end |
13267.74659375 |
transcript.pyannote[1730].speaker |
SPEAKER_15 |
transcript.pyannote[1730].start |
13268.08409375 |
transcript.pyannote[1730].end |
13270.98659375 |
transcript.pyannote[1731].speaker |
SPEAKER_15 |
transcript.pyannote[1731].start |
13271.47596875 |
transcript.pyannote[1731].end |
13273.73721875 |
transcript.pyannote[1732].speaker |
SPEAKER_15 |
transcript.pyannote[1732].start |
13274.46284375 |
transcript.pyannote[1732].end |
13283.38971875 |
transcript.pyannote[1733].speaker |
SPEAKER_06 |
transcript.pyannote[1733].start |
13278.07409375 |
transcript.pyannote[1733].end |
13278.76596875 |
transcript.pyannote[1734].speaker |
SPEAKER_06 |
transcript.pyannote[1734].start |
13280.03159375 |
transcript.pyannote[1734].end |
13280.20034375 |
transcript.pyannote[1735].speaker |
SPEAKER_00 |
transcript.pyannote[1735].start |
13280.20034375 |
transcript.pyannote[1735].end |
13280.21721875 |
transcript.pyannote[1736].speaker |
SPEAKER_15 |
transcript.pyannote[1736].start |
13284.04784375 |
transcript.pyannote[1736].end |
13291.00034375 |
transcript.pyannote[1737].speaker |
SPEAKER_15 |
transcript.pyannote[1737].start |
13291.43909375 |
transcript.pyannote[1737].end |
13292.45159375 |
transcript.pyannote[1738].speaker |
SPEAKER_15 |
transcript.pyannote[1738].start |
13292.70471875 |
transcript.pyannote[1738].end |
13294.22346875 |
transcript.pyannote[1739].speaker |
SPEAKER_15 |
transcript.pyannote[1739].start |
13294.78034375 |
transcript.pyannote[1739].end |
13295.43846875 |
transcript.pyannote[1740].speaker |
SPEAKER_15 |
transcript.pyannote[1740].start |
13296.26534375 |
transcript.pyannote[1740].end |
13297.64909375 |
transcript.pyannote[1741].speaker |
SPEAKER_15 |
transcript.pyannote[1741].start |
13298.27346875 |
transcript.pyannote[1741].end |
13299.01596875 |
transcript.pyannote[1742].speaker |
SPEAKER_15 |
transcript.pyannote[1742].start |
13299.42096875 |
transcript.pyannote[1742].end |
13300.61909375 |
transcript.pyannote[1743].speaker |
SPEAKER_15 |
transcript.pyannote[1743].start |
13301.53034375 |
transcript.pyannote[1743].end |
13304.65221875 |
transcript.pyannote[1744].speaker |
SPEAKER_15 |
transcript.pyannote[1744].start |
13305.20909375 |
transcript.pyannote[1744].end |
13305.98534375 |
transcript.pyannote[1745].speaker |
SPEAKER_15 |
transcript.pyannote[1745].start |
13306.47471875 |
transcript.pyannote[1745].end |
13308.49971875 |
transcript.pyannote[1746].speaker |
SPEAKER_15 |
transcript.pyannote[1746].start |
13309.56284375 |
transcript.pyannote[1746].end |
13309.88346875 |
transcript.pyannote[1747].speaker |
SPEAKER_15 |
transcript.pyannote[1747].start |
13310.30534375 |
transcript.pyannote[1747].end |
13311.89159375 |
transcript.pyannote[1748].speaker |
SPEAKER_15 |
transcript.pyannote[1748].start |
13312.17846875 |
transcript.pyannote[1748].end |
13316.02596875 |
transcript.pyannote[1749].speaker |
SPEAKER_15 |
transcript.pyannote[1749].start |
13316.34659375 |
transcript.pyannote[1749].end |
13317.93284375 |
transcript.pyannote[1750].speaker |
SPEAKER_15 |
transcript.pyannote[1750].start |
13318.72596875 |
transcript.pyannote[1750].end |
13320.27846875 |
transcript.pyannote[1751].speaker |
SPEAKER_15 |
transcript.pyannote[1751].start |
13320.59909375 |
transcript.pyannote[1751].end |
13323.51846875 |
transcript.pyannote[1752].speaker |
SPEAKER_15 |
transcript.pyannote[1752].start |
13323.90659375 |
transcript.pyannote[1752].end |
13325.64471875 |
transcript.pyannote[1753].speaker |
SPEAKER_15 |
transcript.pyannote[1753].start |
13325.89784375 |
transcript.pyannote[1753].end |
13327.41659375 |
transcript.pyannote[1754].speaker |
SPEAKER_15 |
transcript.pyannote[1754].start |
13327.82159375 |
transcript.pyannote[1754].end |
13330.18409375 |
transcript.pyannote[1755].speaker |
SPEAKER_15 |
transcript.pyannote[1755].start |
13331.93909375 |
transcript.pyannote[1755].end |
13334.30159375 |
transcript.pyannote[1756].speaker |
SPEAKER_15 |
transcript.pyannote[1756].start |
13334.72346875 |
transcript.pyannote[1756].end |
13336.05659375 |
transcript.pyannote[1757].speaker |
SPEAKER_15 |
transcript.pyannote[1757].start |
13336.79909375 |
transcript.pyannote[1757].end |
13341.43971875 |
transcript.pyannote[1758].speaker |
SPEAKER_15 |
transcript.pyannote[1758].start |
13342.58721875 |
transcript.pyannote[1758].end |
13345.11846875 |
transcript.pyannote[1759].speaker |
SPEAKER_15 |
transcript.pyannote[1759].start |
13346.43471875 |
transcript.pyannote[1759].end |
13347.70034375 |
transcript.pyannote[1760].speaker |
SPEAKER_15 |
transcript.pyannote[1760].start |
13348.37534375 |
transcript.pyannote[1760].end |
13349.84346875 |
transcript.pyannote[1761].speaker |
SPEAKER_15 |
transcript.pyannote[1761].start |
13350.50159375 |
transcript.pyannote[1761].end |
13355.56409375 |
transcript.pyannote[1762].speaker |
SPEAKER_15 |
transcript.pyannote[1762].start |
13355.78346875 |
transcript.pyannote[1762].end |
13357.33596875 |
transcript.pyannote[1763].speaker |
SPEAKER_15 |
transcript.pyannote[1763].start |
13357.82534375 |
transcript.pyannote[1763].end |
13358.95596875 |
transcript.pyannote[1764].speaker |
SPEAKER_15 |
transcript.pyannote[1764].start |
13359.63096875 |
transcript.pyannote[1764].end |
13361.68971875 |
transcript.pyannote[1765].speaker |
SPEAKER_15 |
transcript.pyannote[1765].start |
13362.34784375 |
transcript.pyannote[1765].end |
13364.17034375 |
transcript.pyannote[1766].speaker |
SPEAKER_14 |
transcript.pyannote[1766].start |
13366.09409375 |
transcript.pyannote[1766].end |
13366.11096875 |
transcript.pyannote[1767].speaker |
SPEAKER_15 |
transcript.pyannote[1767].start |
13366.11096875 |
transcript.pyannote[1767].end |
13367.03909375 |
transcript.pyannote[1768].speaker |
SPEAKER_14 |
transcript.pyannote[1768].start |
13367.03909375 |
transcript.pyannote[1768].end |
13371.39284375 |
transcript.pyannote[1769].speaker |
SPEAKER_15 |
transcript.pyannote[1769].start |
13367.46096875 |
transcript.pyannote[1769].end |
13368.28784375 |
transcript.pyannote[1770].speaker |
SPEAKER_14 |
transcript.pyannote[1770].start |
13372.25346875 |
transcript.pyannote[1770].end |
13383.15471875 |
transcript.pyannote[1771].speaker |
SPEAKER_15 |
transcript.pyannote[1771].start |
13381.19721875 |
transcript.pyannote[1771].end |
13381.50096875 |
transcript.pyannote[1772].speaker |
SPEAKER_14 |
transcript.pyannote[1772].start |
13383.37409375 |
transcript.pyannote[1772].end |
13383.96471875 |
transcript.pyannote[1773].speaker |
SPEAKER_15 |
transcript.pyannote[1773].start |
13383.96471875 |
transcript.pyannote[1773].end |
13384.50471875 |
transcript.pyannote[1774].speaker |
SPEAKER_15 |
transcript.pyannote[1774].start |
13385.34846875 |
transcript.pyannote[1774].end |
13388.40284375 |
transcript.pyannote[1775].speaker |
SPEAKER_15 |
transcript.pyannote[1775].start |
13388.74034375 |
transcript.pyannote[1775].end |
13389.90471875 |
transcript.pyannote[1776].speaker |
SPEAKER_15 |
transcript.pyannote[1776].start |
13390.46159375 |
transcript.pyannote[1776].end |
13394.29221875 |
transcript.pyannote[1777].speaker |
SPEAKER_14 |
transcript.pyannote[1777].start |
13394.29221875 |
transcript.pyannote[1777].end |
13394.30909375 |
transcript.pyannote[1778].speaker |
SPEAKER_14 |
transcript.pyannote[1778].start |
13394.39346875 |
transcript.pyannote[1778].end |
13394.41034375 |
transcript.pyannote[1779].speaker |
SPEAKER_15 |
transcript.pyannote[1779].start |
13394.41034375 |
transcript.pyannote[1779].end |
13395.03471875 |
transcript.pyannote[1780].speaker |
SPEAKER_14 |
transcript.pyannote[1780].start |
13395.03471875 |
transcript.pyannote[1780].end |
13397.70096875 |
transcript.pyannote[1781].speaker |
SPEAKER_15 |
transcript.pyannote[1781].start |
13396.53659375 |
transcript.pyannote[1781].end |
13396.55346875 |
transcript.pyannote[1782].speaker |
SPEAKER_06 |
transcript.pyannote[1782].start |
13396.55346875 |
transcript.pyannote[1782].end |
13397.65034375 |
transcript.pyannote[1783].speaker |
SPEAKER_06 |
transcript.pyannote[1783].start |
13397.70096875 |
transcript.pyannote[1783].end |
13397.80221875 |
transcript.pyannote[1784].speaker |
SPEAKER_06 |
transcript.pyannote[1784].start |
13397.97096875 |
transcript.pyannote[1784].end |
13406.62784375 |
transcript.pyannote[1785].speaker |
SPEAKER_15 |
transcript.pyannote[1785].start |
13402.37534375 |
transcript.pyannote[1785].end |
13402.39221875 |
transcript.pyannote[1786].speaker |
SPEAKER_14 |
transcript.pyannote[1786].start |
13402.39221875 |
transcript.pyannote[1786].end |
13402.44284375 |
transcript.pyannote[1787].speaker |
SPEAKER_15 |
transcript.pyannote[1787].start |
13402.44284375 |
transcript.pyannote[1787].end |
13403.91096875 |
transcript.pyannote[1788].speaker |
SPEAKER_14 |
transcript.pyannote[1788].start |
13403.91096875 |
transcript.pyannote[1788].end |
13403.92784375 |
transcript.pyannote[1789].speaker |
SPEAKER_15 |
transcript.pyannote[1789].start |
13404.41721875 |
transcript.pyannote[1789].end |
13405.59846875 |
transcript.pyannote[1790].speaker |
SPEAKER_15 |
transcript.pyannote[1790].start |
13406.62784375 |
transcript.pyannote[1790].end |
13406.66159375 |
transcript.pyannote[1791].speaker |
SPEAKER_06 |
transcript.pyannote[1791].start |
13406.66159375 |
transcript.pyannote[1791].end |
13406.67846875 |
transcript.pyannote[1792].speaker |
SPEAKER_15 |
transcript.pyannote[1792].start |
13406.67846875 |
transcript.pyannote[1792].end |
13406.76284375 |
transcript.pyannote[1793].speaker |
SPEAKER_06 |
transcript.pyannote[1793].start |
13406.76284375 |
transcript.pyannote[1793].end |
13407.11721875 |
transcript.pyannote[1794].speaker |
SPEAKER_15 |
transcript.pyannote[1794].start |
13407.11721875 |
transcript.pyannote[1794].end |
13413.66471875 |
transcript.pyannote[1795].speaker |
SPEAKER_06 |
transcript.pyannote[1795].start |
13407.13409375 |
transcript.pyannote[1795].end |
13412.53409375 |
transcript.pyannote[1796].speaker |
SPEAKER_00 |
transcript.pyannote[1796].start |
13412.53409375 |
transcript.pyannote[1796].end |
13412.63534375 |
transcript.pyannote[1797].speaker |
SPEAKER_15 |
transcript.pyannote[1797].start |
13413.71534375 |
transcript.pyannote[1797].end |
13414.71096875 |
transcript.pyannote[1798].speaker |
SPEAKER_15 |
transcript.pyannote[1798].start |
13414.94721875 |
transcript.pyannote[1798].end |
13418.79471875 |
transcript.pyannote[1799].speaker |
SPEAKER_15 |
transcript.pyannote[1799].start |
13418.86221875 |
transcript.pyannote[1799].end |
13420.98846875 |
transcript.pyannote[1800].speaker |
SPEAKER_15 |
transcript.pyannote[1800].start |
13421.32596875 |
transcript.pyannote[1800].end |
13422.23721875 |
transcript.pyannote[1801].speaker |
SPEAKER_06 |
transcript.pyannote[1801].start |
13422.23721875 |
transcript.pyannote[1801].end |
13429.42596875 |
transcript.pyannote[1802].speaker |
SPEAKER_15 |
transcript.pyannote[1802].start |
13428.81846875 |
transcript.pyannote[1802].end |
13429.05471875 |
transcript.pyannote[1803].speaker |
SPEAKER_15 |
transcript.pyannote[1803].start |
13429.72971875 |
transcript.pyannote[1803].end |
13432.26096875 |
transcript.pyannote[1804].speaker |
SPEAKER_06 |
transcript.pyannote[1804].start |
13431.34971875 |
transcript.pyannote[1804].end |
13437.13784375 |
transcript.pyannote[1805].speaker |
SPEAKER_15 |
transcript.pyannote[1805].start |
13435.06221875 |
transcript.pyannote[1805].end |
13435.56846875 |
transcript.pyannote[1806].speaker |
SPEAKER_06 |
transcript.pyannote[1806].start |
13438.25159375 |
transcript.pyannote[1806].end |
13441.20471875 |
transcript.pyannote[1807].speaker |
SPEAKER_00 |
transcript.pyannote[1807].start |
13447.24596875 |
transcript.pyannote[1807].end |
13448.76471875 |
transcript.pyannote[1808].speaker |
SPEAKER_06 |
transcript.pyannote[1808].start |
13449.65909375 |
transcript.pyannote[1808].end |
13450.31721875 |
transcript.pyannote[1809].speaker |
SPEAKER_06 |
transcript.pyannote[1809].start |
13456.56096875 |
transcript.pyannote[1809].end |
13456.57784375 |
transcript.pyannote[1810].speaker |
SPEAKER_16 |
transcript.pyannote[1810].start |
13456.57784375 |
transcript.pyannote[1810].end |
13457.26971875 |
transcript.pyannote[1811].speaker |
SPEAKER_00 |
transcript.pyannote[1811].start |
13457.60721875 |
transcript.pyannote[1811].end |
13458.73784375 |
transcript.pyannote[1812].speaker |
SPEAKER_00 |
transcript.pyannote[1812].start |
13459.17659375 |
transcript.pyannote[1812].end |
13466.75346875 |
transcript.pyannote[1813].speaker |
SPEAKER_00 |
transcript.pyannote[1813].start |
13467.09096875 |
transcript.pyannote[1813].end |
13500.85784375 |
transcript.pyannote[1814].speaker |
SPEAKER_00 |
transcript.pyannote[1814].start |
13501.14471875 |
transcript.pyannote[1814].end |
13507.69221875 |
transcript.pyannote[1815].speaker |
SPEAKER_00 |
transcript.pyannote[1815].start |
13508.50221875 |
transcript.pyannote[1815].end |
13508.97471875 |
transcript.pyannote[1816].speaker |
SPEAKER_17 |
transcript.pyannote[1816].start |
13508.75534375 |
transcript.pyannote[1816].end |
13515.97784375 |
transcript.pyannote[1817].speaker |
SPEAKER_22 |
transcript.pyannote[1817].start |
13515.97784375 |
transcript.pyannote[1817].end |
13517.49659375 |
transcript.pyannote[1818].speaker |
SPEAKER_17 |
transcript.pyannote[1818].start |
13517.19284375 |
transcript.pyannote[1818].end |
13524.76971875 |
transcript.pyannote[1819].speaker |
SPEAKER_00 |
transcript.pyannote[1819].start |
13520.58471875 |
transcript.pyannote[1819].end |
13521.98534375 |
transcript.pyannote[1820].speaker |
SPEAKER_00 |
transcript.pyannote[1820].start |
13523.72346875 |
transcript.pyannote[1820].end |
13529.25846875 |
transcript.pyannote[1821].speaker |
SPEAKER_17 |
transcript.pyannote[1821].start |
13530.11909375 |
transcript.pyannote[1821].end |
13542.84284375 |
transcript.pyannote[1822].speaker |
SPEAKER_17 |
transcript.pyannote[1822].start |
13543.34909375 |
transcript.pyannote[1822].end |
13597.46721875 |
transcript.pyannote[1823].speaker |
SPEAKER_00 |
transcript.pyannote[1823].start |
13577.52096875 |
transcript.pyannote[1823].end |
13577.79096875 |
transcript.pyannote[1824].speaker |
SPEAKER_22 |
transcript.pyannote[1824].start |
13577.79096875 |
transcript.pyannote[1824].end |
13577.85846875 |
transcript.pyannote[1825].speaker |
SPEAKER_00 |
transcript.pyannote[1825].start |
13577.85846875 |
transcript.pyannote[1825].end |
13577.97659375 |
transcript.pyannote[1826].speaker |
SPEAKER_00 |
transcript.pyannote[1826].start |
13597.46721875 |
transcript.pyannote[1826].end |
13608.23346875 |
transcript.pyannote[1827].speaker |
SPEAKER_17 |
transcript.pyannote[1827].start |
13600.50471875 |
transcript.pyannote[1827].end |
13600.97721875 |
transcript.pyannote[1828].speaker |
SPEAKER_22 |
transcript.pyannote[1828].start |
13600.97721875 |
transcript.pyannote[1828].end |
13600.99409375 |
transcript.pyannote[1829].speaker |
SPEAKER_22 |
transcript.pyannote[1829].start |
13601.95596875 |
transcript.pyannote[1829].end |
13601.97284375 |
transcript.pyannote[1830].speaker |
SPEAKER_17 |
transcript.pyannote[1830].start |
13601.97284375 |
transcript.pyannote[1830].end |
13602.83346875 |
transcript.pyannote[1831].speaker |
SPEAKER_22 |
transcript.pyannote[1831].start |
13602.83346875 |
transcript.pyannote[1831].end |
13602.88409375 |
transcript.pyannote[1832].speaker |
SPEAKER_17 |
transcript.pyannote[1832].start |
13609.31346875 |
transcript.pyannote[1832].end |
13613.19471875 |
transcript.pyannote[1833].speaker |
SPEAKER_00 |
transcript.pyannote[1833].start |
13609.49909375 |
transcript.pyannote[1833].end |
13610.66346875 |
transcript.pyannote[1834].speaker |
SPEAKER_00 |
transcript.pyannote[1834].start |
13612.60409375 |
transcript.pyannote[1834].end |
13615.38846875 |
transcript.pyannote[1835].speaker |
SPEAKER_00 |
transcript.pyannote[1835].start |
13615.94534375 |
transcript.pyannote[1835].end |
13646.67471875 |
transcript.pyannote[1836].speaker |
SPEAKER_00 |
transcript.pyannote[1836].start |
13646.97846875 |
transcript.pyannote[1836].end |
13650.43784375 |
transcript.pyannote[1837].speaker |
SPEAKER_17 |
transcript.pyannote[1837].start |
13652.02409375 |
transcript.pyannote[1837].end |
13652.10846875 |
transcript.pyannote[1838].speaker |
SPEAKER_17 |
transcript.pyannote[1838].start |
13652.80034375 |
transcript.pyannote[1838].end |
13678.58534375 |
transcript.pyannote[1839].speaker |
SPEAKER_17 |
transcript.pyannote[1839].start |
13679.29409375 |
transcript.pyannote[1839].end |
13690.85346875 |
transcript.pyannote[1840].speaker |
SPEAKER_17 |
transcript.pyannote[1840].start |
13691.22471875 |
transcript.pyannote[1840].end |
13703.30721875 |
transcript.pyannote[1841].speaker |
SPEAKER_00 |
transcript.pyannote[1841].start |
13697.90721875 |
transcript.pyannote[1841].end |
13701.29909375 |
transcript.pyannote[1842].speaker |
SPEAKER_00 |
transcript.pyannote[1842].start |
13702.95284375 |
transcript.pyannote[1842].end |
13710.31034375 |
transcript.pyannote[1843].speaker |
SPEAKER_17 |
transcript.pyannote[1843].start |
13709.19659375 |
transcript.pyannote[1843].end |
13711.86284375 |
transcript.pyannote[1844].speaker |
SPEAKER_00 |
transcript.pyannote[1844].start |
13711.42409375 |
transcript.pyannote[1844].end |
13712.36909375 |
transcript.pyannote[1845].speaker |
SPEAKER_00 |
transcript.pyannote[1845].start |
13712.65596875 |
transcript.pyannote[1845].end |
13715.06909375 |
transcript.pyannote[1846].speaker |
SPEAKER_00 |
transcript.pyannote[1846].start |
13715.23784375 |
transcript.pyannote[1846].end |
13718.15721875 |
transcript.pyannote[1847].speaker |
SPEAKER_00 |
transcript.pyannote[1847].start |
13718.74784375 |
transcript.pyannote[1847].end |
13723.64159375 |
transcript.pyannote[1848].speaker |
SPEAKER_00 |
transcript.pyannote[1848].start |
13724.28284375 |
transcript.pyannote[1848].end |
13726.40909375 |
transcript.pyannote[1849].speaker |
SPEAKER_00 |
transcript.pyannote[1849].start |
13726.72971875 |
transcript.pyannote[1849].end |
13758.55596875 |
transcript.pyannote[1850].speaker |
SPEAKER_17 |
transcript.pyannote[1850].start |
13758.89346875 |
transcript.pyannote[1850].end |
13792.50846875 |
transcript.pyannote[1851].speaker |
SPEAKER_00 |
transcript.pyannote[1851].start |
13759.21409375 |
transcript.pyannote[1851].end |
13760.85096875 |
transcript.pyannote[1852].speaker |
SPEAKER_29 |
transcript.pyannote[1852].start |
13770.48659375 |
transcript.pyannote[1852].end |
13772.46096875 |
transcript.pyannote[1853].speaker |
SPEAKER_00 |
transcript.pyannote[1853].start |
13787.14221875 |
transcript.pyannote[1853].end |
13787.98596875 |
transcript.pyannote[1854].speaker |
SPEAKER_00 |
transcript.pyannote[1854].start |
13791.93471875 |
transcript.pyannote[1854].end |
13793.68971875 |
transcript.pyannote[1855].speaker |
SPEAKER_17 |
transcript.pyannote[1855].start |
13794.02721875 |
transcript.pyannote[1855].end |
13797.40221875 |
transcript.pyannote[1856].speaker |
SPEAKER_00 |
transcript.pyannote[1856].start |
13797.06471875 |
transcript.pyannote[1856].end |
13801.92471875 |
transcript.pyannote[1857].speaker |
SPEAKER_17 |
transcript.pyannote[1857].start |
13799.42721875 |
transcript.pyannote[1857].end |
13799.88284375 |
transcript.pyannote[1858].speaker |
SPEAKER_17 |
transcript.pyannote[1858].start |
13802.02596875 |
transcript.pyannote[1858].end |
13802.04284375 |
transcript.pyannote[1859].speaker |
SPEAKER_17 |
transcript.pyannote[1859].start |
13802.07659375 |
transcript.pyannote[1859].end |
13804.79346875 |
transcript.pyannote[1860].speaker |
SPEAKER_00 |
transcript.pyannote[1860].start |
13803.84846875 |
transcript.pyannote[1860].end |
13805.68784375 |
transcript.pyannote[1861].speaker |
SPEAKER_00 |
transcript.pyannote[1861].start |
13806.16034375 |
transcript.pyannote[1861].end |
13807.49346875 |
transcript.pyannote[1862].speaker |
SPEAKER_17 |
transcript.pyannote[1862].start |
13806.24471875 |
transcript.pyannote[1862].end |
13806.68346875 |
transcript.pyannote[1863].speaker |
SPEAKER_17 |
transcript.pyannote[1863].start |
13808.62409375 |
transcript.pyannote[1863].end |
13814.73284375 |
transcript.pyannote[1864].speaker |
SPEAKER_00 |
transcript.pyannote[1864].start |
13813.88909375 |
transcript.pyannote[1864].end |
13820.35221875 |
transcript.pyannote[1865].speaker |
SPEAKER_17 |
transcript.pyannote[1865].start |
13815.93096875 |
transcript.pyannote[1865].end |
13816.38659375 |
transcript.pyannote[1866].speaker |
SPEAKER_17 |
transcript.pyannote[1866].start |
13817.65221875 |
transcript.pyannote[1866].end |
13818.63096875 |
transcript.pyannote[1867].speaker |
SPEAKER_17 |
transcript.pyannote[1867].start |
13820.35221875 |
transcript.pyannote[1867].end |
13820.53784375 |
transcript.pyannote[1868].speaker |
SPEAKER_06 |
transcript.pyannote[1868].start |
13820.53784375 |
transcript.pyannote[1868].end |
13820.79096875 |
transcript.pyannote[1869].speaker |
SPEAKER_00 |
transcript.pyannote[1869].start |
13820.79096875 |
transcript.pyannote[1869].end |
13821.58409375 |
transcript.pyannote[1870].speaker |
SPEAKER_06 |
transcript.pyannote[1870].start |
13820.80784375 |
transcript.pyannote[1870].end |
13820.87534375 |
transcript.pyannote[1871].speaker |
SPEAKER_17 |
transcript.pyannote[1871].start |
13820.87534375 |
transcript.pyannote[1871].end |
13820.92596875 |
transcript.pyannote[1872].speaker |
SPEAKER_06 |
transcript.pyannote[1872].start |
13820.92596875 |
transcript.pyannote[1872].end |
13821.53346875 |
transcript.pyannote[1873].speaker |
SPEAKER_06 |
transcript.pyannote[1873].start |
13821.58409375 |
transcript.pyannote[1873].end |
13821.66846875 |
transcript.pyannote[1874].speaker |
SPEAKER_17 |
transcript.pyannote[1874].start |
13821.97221875 |
transcript.pyannote[1874].end |
13825.29659375 |
transcript.pyannote[1875].speaker |
SPEAKER_06 |
transcript.pyannote[1875].start |
13822.44471875 |
transcript.pyannote[1875].end |
13822.56284375 |
transcript.pyannote[1876].speaker |
SPEAKER_00 |
transcript.pyannote[1876].start |
13822.56284375 |
transcript.pyannote[1876].end |
13826.17409375 |
transcript.pyannote[1877].speaker |
SPEAKER_17 |
transcript.pyannote[1877].start |
13825.73534375 |
transcript.pyannote[1877].end |
13828.13159375 |
transcript.pyannote[1878].speaker |
SPEAKER_00 |
transcript.pyannote[1878].start |
13827.28784375 |
transcript.pyannote[1878].end |
13829.80221875 |
transcript.pyannote[1879].speaker |
SPEAKER_00 |
transcript.pyannote[1879].start |
13830.52784375 |
transcript.pyannote[1879].end |
13831.18596875 |
transcript.pyannote[1880].speaker |
SPEAKER_17 |
transcript.pyannote[1880].start |
13831.18596875 |
transcript.pyannote[1880].end |
13831.57409375 |
transcript.pyannote[1881].speaker |
SPEAKER_00 |
transcript.pyannote[1881].start |
13831.57409375 |
transcript.pyannote[1881].end |
13831.67534375 |
transcript.pyannote[1882].speaker |
SPEAKER_17 |
transcript.pyannote[1882].start |
13831.67534375 |
transcript.pyannote[1882].end |
13831.69221875 |
transcript.pyannote[1883].speaker |
SPEAKER_17 |
transcript.pyannote[1883].start |
13831.86096875 |
transcript.pyannote[1883].end |
13834.59471875 |
transcript.pyannote[1884].speaker |
SPEAKER_13 |
transcript.pyannote[1884].start |
13833.64971875 |
transcript.pyannote[1884].end |
13833.68346875 |
transcript.pyannote[1885].speaker |
SPEAKER_22 |
transcript.pyannote[1885].start |
13833.68346875 |
transcript.pyannote[1885].end |
13833.73409375 |
transcript.pyannote[1886].speaker |
SPEAKER_13 |
transcript.pyannote[1886].start |
13833.73409375 |
transcript.pyannote[1886].end |
13834.35846875 |
transcript.pyannote[1887].speaker |
SPEAKER_22 |
transcript.pyannote[1887].start |
13834.35846875 |
transcript.pyannote[1887].end |
13834.54409375 |
transcript.pyannote[1888].speaker |
SPEAKER_22 |
transcript.pyannote[1888].start |
13834.59471875 |
transcript.pyannote[1888].end |
13834.61159375 |
transcript.pyannote[1889].speaker |
SPEAKER_17 |
transcript.pyannote[1889].start |
13835.32034375 |
transcript.pyannote[1889].end |
13836.87284375 |
transcript.pyannote[1890].speaker |
SPEAKER_17 |
transcript.pyannote[1890].start |
13836.97409375 |
transcript.pyannote[1890].end |
13843.70721875 |
transcript.pyannote[1891].speaker |
SPEAKER_06 |
transcript.pyannote[1891].start |
13843.25159375 |
transcript.pyannote[1891].end |
13845.61409375 |
transcript.pyannote[1892].speaker |
SPEAKER_06 |
transcript.pyannote[1892].start |
13845.81659375 |
transcript.pyannote[1892].end |
13846.72784375 |
transcript.pyannote[1893].speaker |
SPEAKER_00 |
transcript.pyannote[1893].start |
13845.95159375 |
transcript.pyannote[1893].end |
13847.50409375 |
transcript.pyannote[1894].speaker |
SPEAKER_10 |
transcript.pyannote[1894].start |
13848.28034375 |
transcript.pyannote[1894].end |
13856.07659375 |
transcript.pyannote[1895].speaker |
SPEAKER_00 |
transcript.pyannote[1895].start |
13853.17409375 |
transcript.pyannote[1895].end |
13856.56596875 |
transcript.pyannote[1896].speaker |
SPEAKER_06 |
transcript.pyannote[1896].start |
13856.07659375 |
transcript.pyannote[1896].end |
13856.11034375 |
transcript.pyannote[1897].speaker |
SPEAKER_06 |
transcript.pyannote[1897].start |
13856.81909375 |
transcript.pyannote[1897].end |
13856.83596875 |
transcript.pyannote[1898].speaker |
SPEAKER_10 |
transcript.pyannote[1898].start |
13856.83596875 |
transcript.pyannote[1898].end |
13857.51096875 |
transcript.pyannote[1899].speaker |
SPEAKER_00 |
transcript.pyannote[1899].start |
13857.03846875 |
transcript.pyannote[1899].end |
13858.87784375 |
transcript.pyannote[1900].speaker |
SPEAKER_06 |
transcript.pyannote[1900].start |
13857.51096875 |
transcript.pyannote[1900].end |
13857.81471875 |
transcript.pyannote[1901].speaker |
SPEAKER_00 |
transcript.pyannote[1901].start |
13859.21534375 |
transcript.pyannote[1901].end |
13862.87721875 |
transcript.pyannote[1902].speaker |
SPEAKER_06 |
transcript.pyannote[1902].start |
13862.37096875 |
transcript.pyannote[1902].end |
13865.64471875 |
transcript.pyannote[1903].speaker |
SPEAKER_00 |
transcript.pyannote[1903].start |
13863.70409375 |
transcript.pyannote[1903].end |
13864.53096875 |
transcript.pyannote[1904].speaker |
SPEAKER_06 |
transcript.pyannote[1904].start |
13865.88096875 |
transcript.pyannote[1904].end |
13877.50784375 |
transcript.pyannote[1905].speaker |
SPEAKER_17 |
transcript.pyannote[1905].start |
13874.36909375 |
transcript.pyannote[1905].end |
13874.95971875 |
transcript.pyannote[1906].speaker |
SPEAKER_17 |
transcript.pyannote[1906].start |
13877.01846875 |
transcript.pyannote[1906].end |
13885.01721875 |
transcript.pyannote[1907].speaker |
SPEAKER_06 |
transcript.pyannote[1907].start |
13884.47721875 |
transcript.pyannote[1907].end |
13884.69659375 |
transcript.pyannote[1908].speaker |
SPEAKER_17 |
transcript.pyannote[1908].start |
13886.58659375 |
transcript.pyannote[1908].end |
13889.53971875 |
transcript.pyannote[1909].speaker |
SPEAKER_17 |
transcript.pyannote[1909].start |
13889.77596875 |
transcript.pyannote[1909].end |
13891.27784375 |
transcript.pyannote[1910].speaker |
SPEAKER_06 |
transcript.pyannote[1910].start |
13890.73784375 |
transcript.pyannote[1910].end |
13892.40846875 |
transcript.pyannote[1911].speaker |
SPEAKER_06 |
transcript.pyannote[1911].start |
13892.67846875 |
transcript.pyannote[1911].end |
13908.06846875 |
transcript.pyannote[1912].speaker |
SPEAKER_06 |
transcript.pyannote[1912].start |
13908.37221875 |
transcript.pyannote[1912].end |
13912.05096875 |
transcript.pyannote[1913].speaker |
SPEAKER_06 |
transcript.pyannote[1913].start |
13912.60784375 |
transcript.pyannote[1913].end |
13918.78409375 |
transcript.pyannote[1914].speaker |
SPEAKER_06 |
transcript.pyannote[1914].start |
13919.18909375 |
transcript.pyannote[1914].end |
13929.14534375 |
transcript.pyannote[1915].speaker |
SPEAKER_06 |
transcript.pyannote[1915].start |
13929.46596875 |
transcript.pyannote[1915].end |
13932.87471875 |
transcript.pyannote[1916].speaker |
SPEAKER_06 |
transcript.pyannote[1916].start |
13933.26284375 |
transcript.pyannote[1916].end |
13936.04721875 |
transcript.pyannote[1917].speaker |
SPEAKER_06 |
transcript.pyannote[1917].start |
13936.36784375 |
transcript.pyannote[1917].end |
13950.94784375 |
transcript.pyannote[1918].speaker |
SPEAKER_06 |
transcript.pyannote[1918].start |
13952.01096875 |
transcript.pyannote[1918].end |
13959.52034375 |
transcript.pyannote[1919].speaker |
SPEAKER_06 |
transcript.pyannote[1919].start |
13959.97596875 |
transcript.pyannote[1919].end |
13961.57909375 |
transcript.pyannote[1920].speaker |
SPEAKER_06 |
transcript.pyannote[1920].start |
13961.96721875 |
transcript.pyannote[1920].end |
13962.42284375 |
transcript.pyannote[1921].speaker |
SPEAKER_06 |
transcript.pyannote[1921].start |
13963.09784375 |
transcript.pyannote[1921].end |
13967.02971875 |
transcript.pyannote[1922].speaker |
SPEAKER_06 |
transcript.pyannote[1922].start |
13967.31659375 |
transcript.pyannote[1922].end |
13972.75034375 |
transcript.pyannote[1923].speaker |
SPEAKER_06 |
transcript.pyannote[1923].start |
13973.91471875 |
transcript.pyannote[1923].end |
13985.49096875 |
transcript.whisperx[0].start |
1859.449 |
transcript.whisperx[0].end |
1871.061 |
transcript.whisperx[0].text |
報告委員會出席委員9人與主法定人數我們開會請議事人員宣讀上一次會議議事錄 |
transcript.whisperx[1].start |
1872.984 |
transcript.whisperx[1].end |
1894.306 |
transcript.whisperx[1].text |
立法院第11屆第2會期外交及國防委員會第11次全體委員會議議事錄時間中華民國113年11月7日星期四上午9時1分至12時46分地點紅樓301會議室出席委員黃仁等10人列席委員洪孟凱等13人請教委員陳永康列席人員外交部部長林佳龍及所屬人員 |
transcript.whisperx[2].start |
1895.185 |
transcript.whisperx[2].end |
1915.391 |
transcript.whisperx[2].text |
大陸委員會副主任委員梁文傑主席林昭吉委員異軍報告是向一宣讀上次會議意思錄決定確定二、邀請外交部部長大陸委員會報告美國總統大選後對美中台生平關係及未來國際局勢發展之影響並被質詢外交部部長林佳龍及大陸委員會副主任委員梁文傑報告 |
transcript.whisperx[3].start |
1916.651 |
transcript.whisperx[3].end |
1944.285 |
transcript.whisperx[3].text |
委員王定宇等17人質詢均由外交部部長林佳龍、歐洲司司長黃君耀、拉丁美洲及加勒比海斯司長鄭麗成及大陸委員會副主任委員梁文傑等即席答復決定一登記質詢在場委員均已發言完畢報告及詢答結束二、委員所提口頭及書面質詢未及答復或要求提供之資訊請相關機關與二周內以書面答復本會全體委員並附資本會委員令指定期限者從其所定 |
transcript.whisperx[4].start |
1944.938 |
transcript.whisperx[4].end |
1962.284 |
transcript.whisperx[4].text |
三委員陳永康所提書面質詢列入記錄刊登公報宣讀完畢請問在場委員對於上一次的會議議事錄有無遺漏錯誤或需要更正之處沒有的話我們請議事委員宣讀報告事項 |
transcript.whisperx[5].start |
1965.267 |
transcript.whisperx[5].end |
1967.469 |
transcript.whisperx[5].text |
一、國軍生產及服務作業基金(二、國軍老舊眷村改建基金(三、國防醫學院軍事教育基金(二、資本計劃基金(國軍營設及設施改建基金(宣讀完畢 |
transcript.whisperx[6].start |
1998.151 |
transcript.whisperx[6].end |
2018.366 |
transcript.whisperx[6].text |
好我們先來介紹目前到場的委員有陳永康委員羅美玲委員沈伯陽委員那另外我們列席的官員有國防部長顧立雄副參謀總長執行官鄭榮峰常務次長楊基榮權動署署長白潔龍 |
transcript.whisperx[7].start |
2029.373 |
transcript.whisperx[7].end |
2053.395 |
transcript.whisperx[7].text |
總督察長是總督察長張元勛參事石文榮恭喜政務辦公室主任陳道輝政治作案局局長陳玉玲軍備局局長林文祥主計局局長謝其賢軍醫局醫務管理處處長許玉瑞 |
transcript.whisperx[8].start |
2060.253 |
transcript.whisperx[8].end |
2087.504 |
transcript.whisperx[8].text |
你們局長請假下次加單先給我好不好請坐再來站規司司長黃文啟指揮司司長鄧克雄法律司司長沈世偉整平司副司長趙建國你們司長也請假嗎 |
transcript.whisperx[9].start |
2093.3 |
transcript.whisperx[9].end |
2110.868 |
transcript.whisperx[9].text |
國防採購事主任趙雅萍政風事主任王振國主計事主任楊登武人事事主任徐惠美人事參謀次長是次長劉佩智情報參謀次長是次長謝日昇 |
transcript.whisperx[10].start |
2117.54 |
transcript.whisperx[10].end |
2128.643 |
transcript.whisperx[10].text |
作戰計畫參謀次長是次長陳文新後勤參謀次長是次長李鳳翔通信電子資訊參謀次長是次長鄧恩蓮訓次是次長張俊志陸軍參謀長陳建義海軍參謀長邱俊榮空軍參謀長王德陽 |
transcript.whisperx[11].start |
2147.605 |
transcript.whisperx[11].end |
2174.37 |
transcript.whisperx[11].text |
後指部參謀長薛淵泉現指部參謀長呂正芳陸軍後勤指揮部參謀長劉清薰直通電軍指揮部參謀長陳俊良軍情局局長楊敬瑟電展室主任郭志國國防大學教育長李承忠 |
transcript.whisperx[12].start |
2176.892 |
transcript.whisperx[12].end |
2188.759 |
transcript.whisperx[12].text |
中正裕孝校長陳順儒中科院院長李世強行政院主計總處專委邱碧珠 |
transcript.whisperx[13].start |
2194.143 |
transcript.whisperx[13].end |
2213.719 |
transcript.whisperx[13].text |
本日會議審查114年度中央政府總預算案關於國防部主管收支公開及機密部分與附屬單位預算共計四項基金案那今天先進行詢答本席在面也跟本委員會的委員同仁報告 |
transcript.whisperx[14].start |
2215.18 |
transcript.whisperx[14].end |
2241.605 |
transcript.whisperx[14].text |
因為我們委員會目前多數都是第一次進到國防委員會第一次審查國防的總預算所以本席特別把逐案審查的時間放後面一點點拉長我們各司可以跟各委員進行溝通的時間進行說明所以我們今天11月13號進行公務預算及所屬基金預算的詢答 |
transcript.whisperx[15].start |
2243.004 |
transcript.whisperx[15].end |
2249.13 |
transcript.whisperx[15].text |
那11月20號我們尋網曆一周內請各委員提案我們在 |
transcript.whisperx[16].start |
2250.593 |
transcript.whisperx[16].end |
2272.814 |
transcript.whisperx[16].text |
請各位委員還有現在在看直播的助理記錄下來11月20號下午5點前截止收案有關公務預算的案我再宣達一次今天進行詢答11月20號下午5點前截止收案公務預算的收案那我們什麼時候進行主條審查呢12月9號 |
transcript.whisperx[17].start |
2275.696 |
transcript.whisperx[17].end |
2298.722 |
transcript.whisperx[17].text |
12月9號我們來進行預算的審查包含公務預算的提案到時候馬雄網利會分項分次來進行審查以上跟本會的同仁來做報告那今天的報告有公開預算還有機密預算那報告採取先公開後秘密的方式報告後呢 |
transcript.whisperx[18].start |
2299.422 |
transcript.whisperx[18].end |
2318.004 |
transcript.whisperx[18].text |
進行詢答先秘密後公開時間並記將我們清場入場只需要一次那今天我們也特別請立法院的警衛在進行清場後在幫我們的這個會議空間進行一些掃描的工作確保機密不會外洩好那 |
transcript.whisperx[19].start |
2319.687 |
transcript.whisperx[19].end |
2345.067 |
transcript.whisperx[19].text |
另外質詢的時間也讓機密質詢的委員瞭解今天本會委員6加2分鐘若今天詢答沒有完成不用擔心我們到逐條審查的時候到時候時間是沒有限制的大家可以充分發言那非本會委員今天是4分鐘那如有臨時提案請在10點半前提出發言登記截止也一樣在10點半好 |
transcript.whisperx[20].start |
2345.908 |
transcript.whisperx[20].end |
2365.379 |
transcript.whisperx[20].text |
現在我們請國防部顧立雄部長就我們明年度的國防預算及相關的基金進行報告主席各位委員先進感謝大院 |
transcript.whisperx[21].start |
2367.041 |
transcript.whisperx[21].end |
2388.06 |
transcript.whisperx[21].text |
貴委員會安排本部實施114年度預算案報告承蒙各位委員先進對國防預算的支持與督測再次表達誠摯的謝意近期中國企圖以常態化灰色地帶洗澡對我國家安全造成嚴峻的挑戰國軍貫徹防衛固守從而嚇阻之軍事戰略構想陸立戰備 |
transcript.whisperx[22].start |
2393.14 |
transcript.whisperx[22].end |
2408.872 |
transcript.whisperx[22].text |
整備工作本部114年度主管單位預算編列4760億元處優先預注法定義務必要支出並致重點以建構不對稱戰力提升防衛韌性強化後備戰力及灰色地帶應儲等要項 |
transcript.whisperx[23].start |
2411.013 |
transcript.whisperx[23].end |
2435.258 |
transcript.whisperx[23].text |
附屬單位預算編列806億元為深湖建改軍教及引改等四個特種基金均依照設置目的妥適規劃運用懇請各位委員先進給予指導與支持接續由主計局局長謝啟賢中將就114年度主管單位預算與深湖基金征戰局局長 |
transcript.whisperx[24].start |
2439.692 |
transcript.whisperx[24].end |
2468.049 |
transcript.whisperx[24].text |
陳玉玲中將、軍醫局局長、蔡金松防局、軍備局局長、林文翔中將、分舊、眷改、軍教與營改基金向各位委員報告。謝謝。主席各位委員先進面對當前國際情勢及中共灰色地帶洗腦 |
transcript.whisperx[25].start |
2469.7 |
transcript.whisperx[25].end |
2484.41 |
transcript.whisperx[25].text |
國軍致力維持臺海及區域的和平穩定以建構不對稱戰力為主軸有效提升防衛韌性與後備戰力本部114年度主管稅出預算編列4760億4383萬9千元 |
transcript.whisperx[26].start |
2490.657 |
transcript.whisperx[26].end |
2492.598 |
transcript.whisperx[26].text |
較公開較113年度增加415億6295萬4千元公開部分編列4503億4290萬元災暴如次請過次頁114年度施政重點一、務實建軍規劃強化作戰韌性 |
transcript.whisperx[27].start |
2513.356 |
transcript.whisperx[27].end |
2531.172 |
transcript.whisperx[27].text |
因應敵情威脅需強化自我防衛能力以維持區域穩定國軍秉持防衛作戰思維與戰略構想務實提升防衛韌性及建構完整不對稱戰力尋對美軍構重要管道籌獲各式裝備達有效嚇阻之目標 |
transcript.whisperx[28].start |
2532.973 |
transcript.whisperx[28].end |
2548.901 |
transcript.whisperx[28].text |
114年度持續執行新式陸軍新型戰車遠程精準火力打擊系統海軍魚叉飛彈海岸防衛系統空軍高高空無人機等案即編列一般武器裝備及戰備支援裝備構置等預算705億9477萬8千元二、提升連戰效能持恆實戰訓練中共近年長屆戰備警巡登陸操演 |
transcript.whisperx[29].start |
2561.513 |
transcript.whisperx[29].end |
2573.367 |
transcript.whisperx[29].text |
沿海長航及灰色地帶洗腦等軍事行動進行跨軍種聯合演訓加大對我威懾力度壓縮我國防預警應處空間國軍因應敵情變化強化跨軍種聯戰能力以年度漢光演習為核心 |
transcript.whisperx[30].start |
2580.425 |
transcript.whisperx[30].end |
2588.993 |
transcript.whisperx[30].text |
運用聯戰指管系統整合共同作戰圖像透過打、裝、編訓之系統化建軍備戰過程採實兵、實地、實時、實裝等實戰化訓練方式以更務實方式使官兵貼近實戰狀況藉以驗證三軍聯戰指揮機制 |
transcript.whisperx[31].start |
2601.431 |
transcript.whisperx[31].end |
2611.824 |
transcript.whisperx[31].text |
武器及砂鍊部隊作戰能力及去中心化運作效能必達兵種協同軍種聯合目標即編列作戰綜合作業等預算133億1025萬5千元 |
transcript.whisperx[32].start |
2614.781 |
transcript.whisperx[32].end |
2637.202 |
transcript.whisperx[32].text |
三、結合科研能量後職國防自主為遂行國防自主目標本部除持續進行基建國造外114年度依計劃籌建潛建國造後續建7艘快速布雷艇後續艇6艘與新型步槍等新增軍事投資建案並前瞻先進科技趨勢及廉戰需求目標 |
transcript.whisperx[33].start |
2638.183 |
transcript.whisperx[33].end |
2662.394 |
transcript.whisperx[33].text |
建立自我研製技術(同時媒合國內學術界研發能量(推動國防科技研究與武器裝備研製(以支持基建國造及無人機等先進科技關鍵技術開發(其中推動艦艇噪音模擬系統研發與驗證等116案國防先進科技研究計劃(展現我國防自主((能量( |
transcript.whisperx[34].start |
2665.339 |
transcript.whisperx[34].end |
2691.318 |
transcript.whisperx[34].text |
研發成果為武器系統裝備前期研發至重要基石滿足未來作戰場景需求即編列軍品研發等預算568億5152萬6千元四、整合後勤量能發揮武器效能國軍官兵不分昼夜束手我領土海江及空域執行兼征警戒驅離戰備警巡更正戰備巡航及聯合演訓等任務 |
transcript.whisperx[35].start |
2692.894 |
transcript.whisperx[35].end |
2720.139 |
transcript.whisperx[35].text |
為鞏固戰力不墜至重點籌補經國號F16幻象2000高較機成功級巡防艦及M60A3戰車引擎等裝備零附件確保航空艦艇戰甲砲車等重要武器妥善並因應戰遠訓任務彈藥維持採購紅準反裝甲及雷霆2000高爆火箭彈等有效強化突發狀況下應變與反制能力 |
transcript.whisperx[36].start |
2720.959 |
transcript.whisperx[36].end |
2736.23 |
transcript.whisperx[36].text |
同時積極檢討老舊不適用即使用效益不彰武器裝備納入太儲提升新增裝備儲備空間及整體維保效能即編列軍事單位裝備零附件構置及保修等預算1057億7161萬9千元 |
transcript.whisperx[37].start |
2740.731 |
transcript.whisperx[37].end |
2766.956 |
transcript.whisperx[37].text |
五、提升專業職能優化人才培育人才為建軍根本培養高素質專業能力為建構堅實國防戰力基礎前瞻現代化高科技武器裝備更新及新型態敵情威脅持續強化軍事教育與訓練務實國軍人才培育並合理調整官兵待遇塑建穩定流營機制與環境其次鼓勵進修獲取學位與證照 |
transcript.whisperx[38].start |
2768.561 |
transcript.whisperx[38].end |
2787.295 |
transcript.whisperx[38].text |
以精進專業職能使其安心規劃職涯適性發展另藉由完善人才招募措施吸引有志青年投身軍旅穩定人力需求來源廣除專業優質國軍人力提升部隊整體素質鞏固基層戰力及編列心想等預算1839億6217萬5千元 |
transcript.whisperx[39].start |
2792.685 |
transcript.whisperx[39].end |
2800.127 |
transcript.whisperx[39].text |
6強韌後備戰力落實全民防衛接近二屋戰爭經驗各國軍陸力加強後備動員能量本部為強韌後備部隊整體戰力結合周邊關鍵基礎設施持續精進各項教招訓練實施戰術地位置招訓有助戰時迅速動員編程臨戰訓練及完成作戰部署 |
transcript.whisperx[40].start |
2816.48 |
transcript.whisperx[40].end |
2824.212 |
transcript.whisperx[40].text |
並配合年度同心演習請過事業協同警消及民防團隊驗證全民防衛動員以達戰訓合一目標其間為堅實全民防衛動員機制厚植國家整體防衛量能 |
transcript.whisperx[41].start |
2832.128 |
transcript.whisperx[41].end |
2839.692 |
transcript.whisperx[41].text |
令其召集各部會及地方政府研修年度動員準備計畫檢視動員法規盤點戰略物資維生系統及暫時災民收容救濟站等並以暫時景況為想定擴大辦理民安、萬安演習及各級動員職能訓練進而強化社會防衛韌性及編列動員整備等預算28億1528萬2000元 |
transcript.whisperx[42].start |
2860.102 |
transcript.whisperx[42].end |
2879.027 |
transcript.whisperx[42].text |
7、深化法紀觀念凝聚國人向心國軍官兵肩負國人寄託直干戈以慰設計軍風紀律是軍力維繫重要的一環軍風紀律就是精神戰力本部持恆運用法紀宣導能量深化人員守法重計觀念並落實精神教育使官兵謹記軍人武德 |
transcript.whisperx[43].start |
2880.347 |
transcript.whisperx[43].end |
2891.882 |
transcript.whisperx[43].text |
奉行國家責任榮譽三大信念發揚忠貞氣節堅定為國使命同時規劃國防知性之旅走入校園等多元全民國防教育活動 |
transcript.whisperx[44].start |
2893.599 |
transcript.whisperx[44].end |
2911.545 |
transcript.whisperx[44].text |
進而贏得國人的信賴與支持從而凝聚軍民團結向心與堅定愛國信念即編列督查作業等預算13億6170萬元八、優化注用設施健全官兵照護國軍官兵戰備部分平假日全天候投入戰訓本務工作陸力堅守崗位 |
transcript.whisperx[45].start |
2914.446 |
transcript.whisperx[45].end |
2943.283 |
transcript.whisperx[45].text |
本部秉致力照護官兵與眷屬目標持續優化各項生活照護措施注用環境方面加速老舊營舍整建工作包含具有注用空間優化及滿足官兵住辦時需醫療照護方面推動醫院臨床及部隊衛情數位轉型與人工智慧發展使國軍醫療服務朝智慧化邁進並提升官兵戰場自救護救能力及戰場存活率 |
transcript.whisperx[46].start |
2944.673 |
transcript.whisperx[46].end |
2963.415 |
transcript.whisperx[46].text |
建置訓練機構持恆實施戰場救護擴訓(法律服務方面主動提供官兵和眷屬諮詢意見以及訴訟輔導服務有效保障合法權益心理輔導方面辦理國軍心理健康照護方案及心理健康宣導專案完善關懷輔導作為 |
transcript.whisperx[47].start |
2965.197 |
transcript.whisperx[47].end |
2973.264 |
transcript.whisperx[47].text |
教育官兵自我照顧及同胞互助等正確觀念.邊列設施修繕維護與管理等預算145億9253萬7千元請過事業預算邊列概況本部114年度預算結合施政重點與計劃核實邊列說明如後 |
transcript.whisperx[48].start |
2984.878 |
transcript.whisperx[48].end |
2990.341 |
transcript.whisperx[48].text |
一、稅務預算編列112億3,583萬7千元較113年度增加28億2,969萬4千元主要系增列外匯支息及以前年度軍購案退匯餘款繳庫數按來源別劃分既有罰款及賠償收入等五項請參閱二、稅出預算 |
transcript.whisperx[49].start |
3008.387 |
transcript.whisperx[49].end |
3011.25 |
transcript.whisperx[49].text |
編列4760億4383萬9千元較113年度增加415億6295萬4千元按計劃內容及性質區分公開及保密兩部分依預算結構劃分如後 |
transcript.whisperx[50].start |
3023.752 |
transcript.whisperx[50].end |
3026.975 |
transcript.whisperx[50].text |
人員維持編列1815億5833萬4千元較113年度增加35億3860萬2千元主要為人員心想保險各項補助一年期義務役及調整待遇等法定局域 |
transcript.whisperx[51].start |
3040.049 |
transcript.whisperx[51].end |
3054.444 |
transcript.whisperx[51].text |
作業維持編列一千四百八十六億九千零六十萬四千元其中公開部分編列一千三百九十五億六千三百四十萬六千元較一百一十三年度增加一百七十二億九千三百三十萬九千元 |
transcript.whisperx[52].start |
3055.814 |
transcript.whisperx[52].end |
3066.523 |
transcript.whisperx[52].text |
後勤維保維持各式主要武器裝備妥善彈藥及油料採購與庫儲管理並改善營區房舍生活設施等所需計1148億1528萬5千元通訊資訊辦理通訊電子及各項資訊系統管理維護電腦兵棋作業等作業所需計23億9637萬5千元 |
transcript.whisperx[53].start |
3080.214 |
transcript.whisperx[53].end |
3106.169 |
transcript.whisperx[53].text |
教育訓練辦理戰遠訓任務部隊訓練軍事教育動員準備教召訓練訓場整修及牧林經費等所需計一百億三百二十三萬七千元請過事業環境保護軍事行政及第一背景等計一百一十二億六千五百四十六萬一千元帶邊國安局預算公開部分計十億八千三百零四萬八千元 |
transcript.whisperx[54].start |
3107.273 |
transcript.whisperx[54].end |
3109.215 |
transcript.whisperx[54].text |
軍事投資編列1457億9490萬1千元其中公開部分編列1292億2116萬元較113年度增加327億4853萬元國內產制編列576億1015萬8千元持續計劃 |
transcript.whisperx[55].start |
3128.666 |
transcript.whisperx[55].end |
3137.15 |
transcript.whisperx[55].text |
依委制協議書及合約付款期程執行新一代輕型巡防艦第二階段原型艦籌艦及新式高級教訓機等126案即515億9020萬5千元新增計劃籌獲前艦國造第三階段後續艦籌艦及新型步槍等29案即60億1995萬3千元 |
transcript.whisperx[56].start |
3152.68 |
transcript.whisperx[56].end |
3180.33 |
transcript.whisperx[56].text |
對外採購編列705億9477萬8千元均為持續計劃系一發價書及合約付款期程執行魚叉飛彈海岸防衛系統及高高空無人機等21案計705億9477萬8千元土地活化編列10億1622萬4千元配合政府社會住宅等重大政策及地方政府都市發展需求辦理土地釋出活化運用結與 |
transcript.whisperx[57].start |
3183.846 |
transcript.whisperx[57].end |
3209.943 |
transcript.whisperx[57].text |
114年度預算系因應當前敵情威脅結合防衛作戰構想及兵力整建計劃等要項審酌國防施政優先順序審慎規劃編列4760億4383萬9千元建構可視國防戰力達成防衛作戰時需以上報告敬請各位委員先進支持與指教謝謝副表一及副表二分別為稅入及稅出預算編列情形表請委員參閱以上報告 |
transcript.whisperx[58].start |
3216.479 |
transcript.whisperx[58].end |
3230.025 |
transcript.whisperx[58].text |
接續報告國軍生產及服務作業基金114年度預算案主席各位先進國軍生產及服務作業基金下轄生產醫療服務福利及文教軍人儲蓄富時供應等六個事業 |
transcript.whisperx[59].start |
3240.529 |
transcript.whisperx[59].end |
3264.317 |
transcript.whisperx[59].text |
主要任務為建立軍事裝備自主產製能量提供國軍完善醫療照護體系及休閒活動場域辦理國軍福利品配銷與推展國防文宣工作輔導官兵正向理財與儲蓄以及統籌國軍副食品購辦等業務各事業皆依其設置目的努力達成支援國防施政任務現僅就業務計劃及預算編列情形摘要報告如後 |
transcript.whisperx[60].start |
3268.629 |
transcript.whisperx[60].end |
3285.499 |
transcript.whisperx[60].text |
業務計劃概況本基金依業務屬性及各事業管理機構事權分工114年度營運目標如下依生產事業以發展國防自主軍品國造為目標建構武器裝備研發生產能量並精進國防工業產製效能與品質年度計劃生產兵工類產品171項請過次頁經理類產品12項測量類及製圖類產品2553項合計2736項 |
transcript.whisperx[61].start |
3297.677 |
transcript.whisperx[61].end |
3310.585 |
transcript.whisperx[61].text |
二、醫療事業配合政府醫療政策加強醫學研究提升國軍醫院醫療技術以提供國軍官兵眷屬與一般民眾醫療建構優質醫療照護年度計畫提供病患門診醫療服務628萬餘人次住院醫療服務186萬餘人日及病患膳食服務127萬餘人日 |
transcript.whisperx[62].start |
3322.83 |
transcript.whisperx[62].end |
3339.919 |
transcript.whisperx[62].text |
三、服務事業(提供官兵眷屬優質休閒活動環境(挑激身心及促進同袍情誼交流(年度計劃提供餐飲服務31萬餘人次(住宿服務2萬餘人次及球場服務9萬餘人次(四、福利及文教事業( |
transcript.whisperx[63].start |
3341.968 |
transcript.whisperx[63].end |
3354.56 |
transcript.whisperx[63].text |
統籌國軍福利品供應配銷平穩官兵眷屬生活用品物資更正物價報導軍事演訓藥文及凝聚全民國防共識年度計劃提供福利品配銷4億3201萬元發行爆寬829萬餘份 |
transcript.whisperx[64].start |
3359.565 |
transcript.whisperx[64].end |
3363.188 |
transcript.whisperx[64].text |
五、軍人儲蓄事業..辦理軍人優惠存款等業務..輔導官兵正確理財及穩定經濟基礎..以防範國軍財務失衡風險..年度計劃辦理軍人儲蓄存款238億8千萬元六、複時供應事業.. |
transcript.whisperx[65].start |
3376.55 |
transcript.whisperx[65].end |
3386.921 |
transcript.whisperx[65].text |
統籌國軍副食品採購及公配業務維護官兵飲食安全並擴大主動運補服務降低單位實行工作負荷年度計劃辦理國軍官兵副食品統籌購辦1億1535萬餘人次 |
transcript.whisperx[66].start |
3390.985 |
transcript.whisperx[66].end |
3398.407 |
transcript.whisperx[66].text |
預算編列情形一、預算收支業務收入404億3782萬3千元主要系產銷軍品銷貨收入國軍醫院各項醫療收入休閒設施與場租服務統籌配銷福利品及副食品供應等各項收入業務成本與費用393億7161萬1千元主要系產製軍品銷貨成本等請過次頁 |
transcript.whisperx[67].start |
3418.952 |
transcript.whisperx[67].end |
3436.478 |
transcript.whisperx[67].text |
醫療服務與用品等醫療成本提供休閒服務統籌供售福利品與副食品等各項成本以及各項管銷研發及訓練費用等業務外收入9億5244萬元主要系銀行存款利息收入附屬營運場所權利金收入及違約罰款等 |
transcript.whisperx[68].start |
3438.866 |
transcript.whisperx[68].end |
3447.542 |
transcript.whisperx[68].text |
業務外費用6億3063萬8千元主要系生產事業第205場光中營區土地污染整治相關費用年度剩餘13億8801萬4千元 |
transcript.whisperx[69].start |
3450.933 |
transcript.whisperx[69].end |
3468.224 |
transcript.whisperx[69].text |
二、輿促撥補本期剩餘十三億八千八百零一萬四千元加計前期未分配剩餘三十五億八千五百七十一萬九千元合計四十九億七千三百七十三萬三千元結繳空庫金額十五億元未分配剩餘三十四億七千三百 |
transcript.whisperx[70].start |
3469.145 |
transcript.whisperx[70].end |
3473.067 |
transcript.whisperx[70].text |
總預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[71].start |
3488.394 |
transcript.whisperx[71].end |
3498.021 |
transcript.whisperx[71].text |
構建固定資產114年度固定資產建設改良擴充編列三十二億四千一百零四萬三千元主要是辦理新建醫療大樓專案計劃及營運時需之一般建築及設備更新 |
transcript.whisperx[72].start |
3504.185 |
transcript.whisperx[72].end |
3519.69 |
transcript.whisperx[72].text |
編列情形如後專案計劃十億兩千八百零九萬六千元系執行國軍臺中總醫院新建醫療大樓國軍三軍總醫院新建重症醫療大樓三軍總醫院北投分院門診中心新建工程 |
transcript.whisperx[73].start |
3521.301 |
transcript.whisperx[73].end |
3541.577 |
transcript.whisperx[73].text |
國軍高雄總醫院長照大樓新建工程國軍高雄總醫院岡山分院長照大樓新建工程山津總醫院基隆分院醫療大樓新建工程計劃山津總醫院澎湖分院放射腫瘤劑核子醫學中心建置計劃及國軍高雄總醫院急重症醫療大樓新建工程計劃等 |
transcript.whisperx[74].start |
3543.697 |
transcript.whisperx[74].end |
3548.401 |
transcript.whisperx[74].text |
一般建築及設備計畫22億1294萬7千元別列項目區分房屋及建築2826萬6千元主要系辦理生產工廠廠房整建工程請過失業 |
transcript.whisperx[75].start |
3559.489 |
transcript.whisperx[75].end |
3585.625 |
transcript.whisperx[75].text |
機械及設備二十億兩千三百九十九萬八千元主要系國軍醫院新增汰換醫療儀器設備及生產工廠構建軍品產製設備交通及運輸設備兩千八百七十七萬四千元主要系構置生產事業所需消防車及汰換醫院監視系統等設備雜項設備一億三千一百五十五萬元主要系新增汰換各事業所需冷暖氣機及營業設備等 |
transcript.whisperx[76].start |
3589.432 |
transcript.whisperx[76].end |
3615.233 |
transcript.whisperx[76].text |
結與(等基金以營運自主(自己自主為目標(堅實武器裝備(確保作戰效能(厚植國防自主能量(並健全部隊醫療照護(以及各項福利與復工服務(有效支援國防施政與戰備需求(敬請各位委員先進指教並鼎力支持(必使國軍生產及服務作業基金(各項任務順利推動(附表一為生福基金的預算概況表(請委員參閱報告完畢 |
transcript.whisperx[77].start |
3623.918 |
transcript.whisperx[77].end |
3641.672 |
transcript.whisperx[77].text |
國軍老舊眷村改建基金114年度預算案報告主席各位委員先進國軍老舊眷村改建基金以下稱本基金是依據民國85年公布之國軍老舊眷村改建條例以下稱眷改條例所設立 |
transcript.whisperx[78].start |
3642.372 |
transcript.whisperx[78].end |
3662.569 |
transcript.whisperx[78].text |
本基金設置的目的在加速更新國軍老舊眷村運用眷村土地新建住宅照顧原眷戶以及志願役現役官兵保存眷村文化及協助地方政府取得公共設施用地總計完成千建改建基地以及國眷宅86處 |
transcript.whisperx[79].start |
3664.19 |
transcript.whisperx[79].end |
3684.339 |
transcript.whisperx[79].text |
安置眷戶69353戶現緊急業務計劃以及預算編列的情形災藥報告如後一、業務計劃概況積極地去化漁屋跟店舖加速回收興建成本以及降低維護管理的支出 |
transcript.whisperx[80].start |
3685.615 |
transcript.whisperx[80].end |
3705.026 |
transcript.whisperx[80].text |
根據委請財政部國有財產署辦理臺北市崇仁新村等處的改建基地9戶店鋪標售作業以有效地益助本基金的收益另外計劃捷報臺南市二空新村等10戶的輔助購財、差額款、稅型、眷戶的安置工作 |
transcript.whisperx[81].start |
3712.008 |
transcript.whisperx[81].end |
3733.984 |
transcript.whisperx[81].text |
二、預算編列情形一、業務收入編列兩億兩千三百九十萬三千元主要系標售改建基地店舖之銷貨收入以及貸放原券戶優惠貸款利息收入等二、業務成本與費用編列一億兩千九百三十萬六千元 |
transcript.whisperx[82].start |
3734.565 |
transcript.whisperx[82].end |
3742.266 |
transcript.whisperx[82].text |
主要系任列標售改建基地店舖興建成本補捐助地方政府辦理眷村文化保存開辦費 |
transcript.whisperx[83].start |
3743.632 |
transcript.whisperx[83].end |
3772.086 |
transcript.whisperx[83].text |
以及捷報、輔助、原券戶、購載差額款等(三、業務外收入編列4億1581萬9千元主要系漁屋、店鋪、土地之租賃收入以及營運資金支息等(四、業務外費用編列3億3818萬8千元主要系列之舊有的房、券、營舍處理費 |
transcript.whisperx[84].start |
3772.81 |
transcript.whisperx[84].end |
3795.325 |
transcript.whisperx[84].text |
以及支應土地處理作業費不足款等五、年度剩餘前開收支相抵後即剩餘一億七千兩百二十二萬八千元三、結餘本基金執行國軍老舊眷村改建工作已據成效為了加速去化漁屋 |
transcript.whisperx[85].start |
3795.845 |
transcript.whisperx[85].end |
3812.715 |
transcript.whisperx[85].text |
活絡國內經濟改善都市景觀以及推動眷村文化保存工作將持續依照眷改計劃期程完成既定的任務敬請各位委員先進指教並且鼎力支持逼利施政目標順利達成謝謝 |
transcript.whisperx[86].start |
3820.021 |
transcript.whisperx[86].end |
3843.867 |
transcript.whisperx[86].text |
國防醫學院軍事教育基金114年度預算案報告主席各位委員先進國防醫學院軍事教育基金依軍事教育條例第21條之一規定設立基金收入來源用途投資項目範圍等事項準用國立大學校院校務基金設置條例相關規定 |
transcript.whisperx[87].start |
3845.627 |
transcript.whisperx[87].end |
3868.89 |
transcript.whisperx[87].text |
經行政院於111年4月13日合併本基金設置計劃書112年12月29日合併本基金管理及監督辦法具以執行本基金自籌收支保管運用之管監制度並循年度預算程序編制附屬單位預算送請大院審查 |
transcript.whisperx[88].start |
3870.253 |
transcript.whisperx[88].end |
3886.205 |
transcript.whisperx[88].text |
配合國家高等教育學術自主政策本基金自113年度新設立除政府循預算程序之撥款外增加自籌收入財源提升軍政與學教育品質及研究績效 |
transcript.whisperx[89].start |
3887.446 |
transcript.whisperx[89].end |
3915.793 |
transcript.whisperx[89].text |
促進校務多元發展培育優秀現代化軍醫人才有效支援國軍戰備人物先緊究業務計劃概況及預算編列情形災藥報告如後一、業務計劃概況本基金計劃辦理國防醫學院教學訓輔及研究發展業務114年度主要營運項目為質詢大學部及碩博士研究所之學員生 |
transcript.whisperx[90].start |
3918.554 |
transcript.whisperx[90].end |
3941.067 |
transcript.whisperx[90].text |
2241元教學任務請過次頁執行產官學界建交合作研究案455件持續推動落實全能教育深耕教學卓越強化生技研發拓展軍政與學及永續學校經營等營運目標二、預算編列情形如附表三 |
transcript.whisperx[91].start |
3942.72 |
transcript.whisperx[91].end |
3966.527 |
transcript.whisperx[91].text |
預算收支一、業務收入七億五千一百五十一萬九千元主要系教學研究補助收入建教合作收入學雜費收入其中屬政府補助收入四億一千三百九十六萬七千元屬自酬收入三億三千七百五十五萬兩千元二、業務成本與費用 |
transcript.whisperx[92].start |
3968.127 |
transcript.whisperx[92].end |
3995.934 |
transcript.whisperx[92].text |
編列8億4千024萬9千元主要系教學成本研究發展及訓練費用含資產折舊及攤銷等三、業務外收入編列3千142萬5千元屬自籌收入主要系受證收入飼養實驗動物收入實驗室代測收入各類場地設備使用租金收入及利息收入等 |
transcript.whisperx[93].start |
3997.901 |
transcript.whisperx[93].end |
4014.597 |
transcript.whisperx[93].text |
二、業務外費用編列2294萬元主要系管理宿舍場地設備支出及其他雜項業務支出等五、年度餘處前開收支相抵後發生短處數8024萬5千元主要系因資產折舊及攤銷增加所致 |
transcript.whisperx[94].start |
4020.68 |
transcript.whisperx[94].end |
4024.021 |
transcript.whisperx[94].text |
二、財務概況114年底預計資產總額4億3941萬3千元負債總額2億2752萬2千元淨值5億1189萬1千元 |
transcript.whisperx[95].start |
4036.346 |
transcript.whisperx[95].end |
4063.136 |
transcript.whisperx[95].text |
三、構建固定資產114年度固定資產建設改良編列一億五千七百七十七萬兩千元資金來源為政府補助一億四千九百四十八萬七千元自籌收入支應八百二十八萬五千元主要系改善軍政醫學教育設備汰換網路資訊基礎設施建置智慧教研設備 |
transcript.whisperx[96].start |
4064.416 |
transcript.whisperx[96].end |
4092.67 |
transcript.whisperx[96].text |
構置學校營運及建教合作所需教學研究設備編列情形如後專案計劃一億兩千五百五十一萬七千元依三軍總醫院暨國防醫學院一百一十二至一百一十六年充實軍政醫學設備案汰換無維修效益及預使用年限之教學研究設備改善軍政醫學教育品質及提升研發能量 |
transcript.whisperx[97].start |
4093.87 |
transcript.whisperx[97].end |
4109.9 |
transcript.whisperx[97].text |
編列機械設備一億一千六百五十三萬兩千元及雜項設備一百九十八萬五千元請過次頁國軍醫院軍政醫學網路設備系統提升案汰換與使用連線資資訊網路架構與基礎設施以建置智慧膠原設備編列機械及設備費七百萬元 |
transcript.whisperx[98].start |
4118.925 |
transcript.whisperx[98].end |
4124.889 |
transcript.whisperx[98].text |
二、一般建築及設備計劃3,225萬5千元(汰換學校營運基礎設備(高校生根計劃(創新教學設備與建教合作之教學研究設備(依資金來源編列政府補助編列2397萬元( |
transcript.whisperx[99].start |
4139.699 |
transcript.whisperx[99].end |
4146.525 |
transcript.whisperx[99].text |
一、執行創新教學設備及彩色印表機構置編列機械級設備1576萬元二、辦理教學大樓、排風系統、學員森宿舍生活設施、會議室投螢幕 |
transcript.whisperx[100].start |
4156.293 |
transcript.whisperx[100].end |
4162.539 |
transcript.whisperx[100].text |
會議聽布幕升降及一化講桌等設備汰換編列雜項設備821萬元二、自籌編列828萬5千元辦理建交合作之設備儀器構置編列機械及設備823萬9千元及雜項設備46000元 |
transcript.whisperx[101].start |
4177.273 |
transcript.whisperx[101].end |
4200.681 |
transcript.whisperx[101].text |
三、結語本基金114年度除由政府預算補助外自籌收入較113年度成長約5.29%用以教學研究設施改善及校務運作積極培訓現代化軍醫及符合世界潮流健康照護人才並持續推動多元化經營提高自籌收入 |
transcript.whisperx[102].start |
4201.841 |
transcript.whisperx[102].end |
4218.877 |
transcript.whisperx[102].text |
擴充教育資源..永續校務發展...懇請各位委員先進指教與支持..必使本基金教學及研究任務順利推動..請過次頁復表三為國防醫學院軍事教育基金預算概況表..請委員參閱 |
transcript.whisperx[103].start |
4225.48 |
transcript.whisperx[103].end |
4246.118 |
transcript.whisperx[103].text |
國軍營舍及設施改建基金114年度預算案報告主席各位委員先進大家好軍備局局長報告本部為落實政府照顧國軍官兵政策於87年度經行政院核准成立國軍老舊營舍改建基金自101年度起 |
transcript.whisperx[104].start |
4246.938 |
transcript.whisperx[104].end |
4266.206 |
transcript.whisperx[104].text |
為有效運用國防資源擴大基金用途將一般軍事工程及設施預算納入本基金執行並更命為國軍營設及設施改憲基金以下稱本基金推展老舊營設及設施檢建工作改善官兵生活品質現緊舊業務計劃及預算編列情形摘要報告如後一 |
transcript.whisperx[105].start |
4270.829 |
transcript.whisperx[105].end |
4295.088 |
transcript.whisperx[105].text |
業務計劃概況一、第205場簽建專案計劃關於因應國家重大經濟建設配合高雄市多功能經貿園區都市發展規劃辦理營區騰浪藉市出營區收益益助營改基金作為205場簽建及機制重建所需以發揮最大經濟效益共創國家地方及國軍商業關於二、 |
transcript.whisperx[106].start |
4296.169 |
transcript.whisperx[106].end |
4316.961 |
transcript.whisperx[106].text |
先進工程委由高雄市政府代班114年持續辦理關乎營區工程施工建造及生產現機具採購等作業二、資安園區專案計劃關乎一、一財政部加強國有不動產活化運用計劃整合國安會資安辦公室行政會數位發展部及本部 |
transcript.whisperx[107].start |
4318.297 |
transcript.whisperx[107].end |
4337.343 |
transcript.whisperx[107].text |
支通電軍指揮部等單位於中信營區建置資安園區以統整國家資安防護能量達成資安暨國安之政策目標。(關於新建工程委由內政部國土管理署代辦114年度持續辦理工程施工及建造費用 |
transcript.whisperx[108].start |
4338.243 |
transcript.whisperx[108].end |
4357.564 |
transcript.whisperx[108].text |
二、三、老舊營舍整建計劃關於一(為優化官兵注辦環境及改善生活品質(落實照顧國軍政策(本部積極推動國軍老舊營舍整建(建造安全、舒適及功能實用化的營區(以提供官兵良好的訓練環境及休閒設施( |
transcript.whisperx[109].start |
4360.787 |
transcript.whisperx[109].end |
4379.813 |
transcript.whisperx[109].text |
國保二、114年度即執行龍山營區新建工程等58案(均持續辦理工程施工及建造等作業(四、工程及設施整建計劃、國保一為配合國防戰備任務(有效運用國防資源自101年度起逐年編列經會辦理、整新( |
transcript.whisperx[110].start |
4382.188 |
transcript.whisperx[110].end |
4399.052 |
transcript.whisperx[110].text |
建國軍工程及設施..二、114年度即執行青天崗靶場興建工程等五案施工中事案規劃設計一案二、預算編列情形如附表示..一、基金來源合計編列147億4735萬5000元..一、財產收入 |
transcript.whisperx[111].start |
4405.094 |
transcript.whisperx[111].end |
4413.439 |
transcript.whisperx[111].text |
以處分不適用營地移交國產署辦理土地活化資權利金租金及其他財產及利息等收入計129億7894萬1千元關於政府撥入合計17億1204萬9千元一( |
transcript.whisperx[112].start |
4423.803 |
transcript.whisperx[112].end |
4438.599 |
transcript.whisperx[112].text |
公庫撥款收入現金一、行政院核定農場綜合訓練場有償撥用款及資安園區公庫預注款即5億3千零64萬元請過夜二、政府其他撥入 |
transcript.whisperx[113].start |
4440.869 |
transcript.whisperx[113].end |
4466.377 |
transcript.whisperx[113].text |
轉賬不撥款依依據行政院99年指示和納本基金來源清徹之不動產均因透列總預算由本部與財政部國有財產署互編稅出稅入預算以轉賬不撥款方式累計土地存貨資產原114年度依行政院合併引改基金來源清徹即松南營區等17處土地及拆遷補償費 |
transcript.whisperx[114].start |
4468.314 |
transcript.whisperx[114].end |
4471.196 |
transcript.whisperx[114].text |
作價撥入款11億8140萬9千元關於其他收入罰款收入計5636萬5千元二、基金用途合計編類393億 |
transcript.whisperx[115].start |
4482.386 |
transcript.whisperx[115].end |
4498.012 |
transcript.whisperx[115].text |
一百二十六萬三千元關於第205場簽件專案計劃執行關乎大樹北紀中科院林園雲區分案編類45億三千九百零八萬一千元關於資安園區專案計劃執行資安園區專案一案編類十億一千七百萬元 |
transcript.whisperx[116].start |
4503.221 |
transcript.whisperx[116].end |
4508.587 |
transcript.whisperx[116].text |
三、老舊營舍整建計劃執行各單位老舊營舍搬遷及整建工程共58案編類311億8235萬4千元四、工程及設施整建計劃執行國軍工程及設施整建共5萬編類24億3324萬元 |
transcript.whisperx[117].start |
4523.081 |
transcript.whisperx[117].end |
4537.683 |
transcript.whisperx[117].text |
關於一般行政管理計畫執行本基金業務所需的營地委管人事行政等作業費及來源清澈內無法儲分值土地剔除作價數編列一億兩千九百五十八萬八千元 |
transcript.whisperx[118].start |
4538.544 |
transcript.whisperx[118].end |
4554.614 |
transcript.whisperx[118].text |
三、年度轉出基金來源及用途相抵後即短促245億5390萬8千元短促由以前年度基金的餘額來調整三、結與此行完善官兵照顧本部施政重點 |
transcript.whisperx[119].start |
4555.775 |
transcript.whisperx[119].end |
4570.827 |
transcript.whisperx[119].text |
將持續加強國軍老舊營舍整建規劃及設施改建工作提供官兵良好工作環境及生活設施敬請各位委員先進指教並鼎力支持必使國軍營舍及設施整建基金業務順利推動謝謝副表請參閱報告完畢 |
transcript.whisperx[120].start |
4575.199 |
transcript.whisperx[120].end |
4590.505 |
transcript.whisperx[120].text |
好謝謝我們準備局長請回好接下來公開報告結束我們接下來進行的是秘密會議進行機密報告那我們即將進行清場那本席跟大家宣告一下就是說我們待會全部呢 |
transcript.whisperx[121].start |
4592.125 |
transcript.whisperx[121].end |
4616.133 |
transcript.whisperx[121].text |
這個由前門前門是靠近我這一側前門出場那參與秘密會議的人員由後門入場通過偵測後檢查再進入那因為待會我們有一小段時間要請立法院警衛隊進行我們內部的掃描以及這個保防相關的檢查大概是10分鐘以內大概是10分鐘以內各位媒體或者各位官員 |
transcript.whisperx[122].start |
4616.853 |
transcript.whisperx[122].end |
4626.342 |
transcript.whisperx[122].text |
你該抓一個10分鐘以內的時間我們立法院的警衛隊現在有這個裝備要進來做相關的保防這個掃描那我們現在開始清場謝謝 |
transcript.whisperx[123].start |
5771.971 |
transcript.whisperx[123].end |
5790.023 |
transcript.whisperx[123].text |
好,我們現在開始進行公開質詢那請羅美玲委員上台詢答謝謝主席,有請顧部長來,部長請是,羅委員好 |
transcript.whisperx[124].start |
5801.734 |
transcript.whisperx[124].end |
5823.307 |
transcript.whisperx[124].text |
部長早部長我們除了這個國防部年度預算稅出編列書4760億之外呢其實我們還有這個海空戰力提升計劃更新新式的這個戰機的這個採購加起來的特別預算共編列了904億另外呢我們還有非營業特種基金806億加起來是6470億元那是佔了114年居 |
transcript.whisperx[125].start |
5830.172 |
transcript.whisperx[125].end |
5857.814 |
transcript.whisperx[125].text |
的這個預估值26.4兆元之比例大概是2.45%好那像這幾年呢其實我們都有看到就是說我們的這個國際的友人一直都有建議說其實我們應該把我們的國防預算預算呢佔GDP比例應該是提升到3%那其實在90年代初期的時候兩岸軍力開始失衡美方就已經這麼 |
transcript.whisperx[126].start |
5858.575 |
transcript.whisperx[126].end |
5863.698 |
transcript.whisperx[126].text |
這麽來建議了那我們看到這個左邊的圖表我們可以看到說其實這個百分之三的這個比例呢像過去我們看到的是在貶政府時代曾經有達到這個目標民國93年民國96年97年我們都有看到有這個預算呢有達到這個目標可是這個預算呢送到國會審查之後就遭到這個刪減其實法定預算始終是沒有辦法達標的 |
transcript.whisperx[127].start |
5888.474 |
transcript.whisperx[127].end |
5913.322 |
transcript.whisperx[127].text |
近年臺海局勢日益緊張,美方和國際智庫還是持續呼籲臺灣應該提高國防預算到GDP佔比的3%以上甚至還有人提到說應該要到5%以上所以我想請問我們的部長在美方和國際盟友的期待之下我們是不是有具體的規劃往3%或是5%的目標來做前景 |
transcript.whisperx[128].start |
5918.078 |
transcript.whisperx[128].end |
5935.197 |
transcript.whisperx[128].text |
我想這個還是要依我們的這個實際的這個作戰的一個需要那我想我們主要還是著重在四個面向就是建構不對稱戰力然後強化我們的作戰韌性然後也 |
transcript.whisperx[129].start |
5935.97 |
transcript.whisperx[129].end |
5956.543 |
transcript.whisperx[129].text |
提升我們的後備戰略以及灰色地帶的運輸這四個面向然後根據我們的這個實際的需求那因為臺美雙方過去以來已經有一個制度性的一個軍事交流合作的一個機制那我們通常對於這樣子的一個 |
transcript.whisperx[130].start |
5958.644 |
transcript.whisperx[130].end |
5983.659 |
transcript.whisperx[130].text |
因為我們籌貨的管道有包括軍購商購跟我們自主的這個生產的那在這個上面有關跟美國軍購的這個部分我們通常都會循這個機制來跟美方進行溝通那溝通之後確認就是說他願意供售那我們再提出來這個我們的相關的這個 |
transcript.whisperx[131].start |
5985.521 |
transcript.whisperx[131].end |
5994.651 |
transcript.whisperx[131].text |
預算那經過立法院同意之後然後再正式向美方提出那所以如果說在 |
transcript.whisperx[132].start |
5996.065 |
transcript.whisperx[132].end |
6020.133 |
transcript.whisperx[132].text |
穩健的成長這一件事情我覺得是可以來看得到的因為我們過去這個三年來平均成長都到達8%但是如果你單看GDP的話它有一個問題就是說因為GDP成長的速度也相當的快像如果統計過去如果以三年來講的話GDP成長的比例應該會超過5個% |
transcript.whisperx[133].start |
6022.774 |
transcript.whisperx[133].end |
6040.751 |
transcript.whisperx[133].text |
超過5%以上所以如果單以GDP來講的話我們成長平均成長的這個比例要超過GDP成長比例我們8%那GDP成長也許是5啊6啊或者是那但是我們所以 |
transcript.whisperx[134].start |
6041.792 |
transcript.whisperx[134].end |
6064.753 |
transcript.whisperx[134].text |
我們有沒有辦法趕得上這個GDP的3%這一件事情我覺得還是要根據我們的實際的作戰的一個需要這個我們根據我們的防衛的一個需要來檢視剛剛我講的那個四個重要的一個面向四個要項來做我 |
transcript.whisperx[135].start |
6065.533 |
transcript.whisperx[135].end |
6090.349 |
transcript.whisperx[135].text |
我現在沒有辦法設定一個答案說我們是不是能夠達到3%或者是多少但是我們應該會朝著穩健成長的角度來進行那我覺得這一個部分我們會尋這一個現在既有的這個制度化的這個軍事交流合作的機制來跟美方未來的川普政府來做這樣的溝通這樣子 |
transcript.whisperx[136].start |
6092.45 |
transcript.whisperx[136].end |
6106.686 |
transcript.whisperx[136].text |
OK部長就是說看我們所需的實際上需求我們來做編列再來就是還是會朝穩定來成長這部分這個目標來前進嘛 對不對那會不會到3%就看我們到時候我們實際上的需求嘛 |
transcript.whisperx[137].start |
6109.548 |
transcript.whisperx[137].end |
6128.92 |
transcript.whisperx[137].text |
這次我們中央政府總預算案是最初是在提升那我們的國防預算編列也是創了這個新高可是我們來看左邊這個圖我們可以看到就是說雖然是說我們的國防預算編列是創新高可是在預算佔比方面其實還是有稍微下降了一點點 |
transcript.whisperx[138].start |
6130.646 |
transcript.whisperx[138].end |
6131.828 |
transcript.whisperx[138].text |
二、審查114年度中央政府總預算案附屬單位預算關於國防部主管非營業基 |
transcript.whisperx[139].start |
6145.766 |
transcript.whisperx[139].end |
6173.14 |
transcript.whisperx[139].text |
如果看到過去,我們不看總預算的編列數的話當然看占比,我們看到有稍微下降了一點點再來還有我們總體的國防預算不斷地攀升其實其中我們還有特別預算案可是我們看到特別預算案在115年就要編列來完整如果116年我們有相關的武器裝備要採購的話我們會不會提出新的特別預算案 |
transcript.whisperx[140].start |
6175.269 |
transcript.whisperx[140].end |
6183.497 |
transcript.whisperx[140].text |
現在就是說115年度還有602億的一個特別預算那今年的話應該是904億 |
transcript.whisperx[141].start |
6190.871 |
transcript.whisperx[141].end |
6209.41 |
transcript.whisperx[141].text |
那所以確實如委員所講的就是說在116年開始沒有這個特別預算的情況之下那我們如果都把它編入年度預算的話那年度預算的占比確實會提高那會排擠到其他的這個 |
transcript.whisperx[142].start |
6210.481 |
transcript.whisperx[142].end |
6229.839 |
transcript.whisperx[142].text |
那就是在要就這個整體財政的規劃來看那特別預算的要不要編列的話這個可能如果說國防部有這個規劃還需要大院的支持就是說我們要提出一個特別預算案的話 |
transcript.whisperx[143].start |
6230.359 |
transcript.whisperx[143].end |
6231.799 |
transcript.whisperx[143].text |
一、審查一、審查一、審查一、審查一、審查一、 |
transcript.whisperx[144].start |
6247.225 |
transcript.whisperx[144].end |
6265.162 |
transcript.whisperx[144].text |
如果你沒有提出特別預算案的話當然你把它歸入到公務預算當然會排擠到公務預算的所以我現在只能夠說我們沒有辦法去排除由這個特別預算的這個可能性我在這裡能夠表但是我們現在還沒有一個定案的一個規劃這樣子 |
transcript.whisperx[145].start |
6272.664 |
transcript.whisperx[145].end |
6292.909 |
transcript.whisperx[145].text |
因為主要還是要大院能夠支持這樣的一個特別預算案的提出那特別預算案提出我想應該也要有一定的規劃不然的話一個詳細的一個規劃所以才能夠得到這個大院的支持因為時間的關係本期還有其他的問題就留待這個我們審預算的時候那我再來提問以上謝謝 |
transcript.whisperx[146].start |
6295.031 |
transcript.whisperx[146].end |
6300.182 |
transcript.whisperx[146].text |
謝謝羅美琳委員各位請回接下來進行詢答的委員是陳永康委員 |
transcript.whisperx[147].start |
6332.664 |
transcript.whisperx[147].end |
6344.036 |
transcript.whisperx[147].text |
主席有請顧部長部長請今天聽取了重大的建軍計劃跟強化韌性這裡面在報告的 |
transcript.whisperx[148].start |
6354.141 |
transcript.whisperx[148].end |
6366.426 |
transcript.whisperx[148].text |
第二頁的重點談到了三個重大的軍售正好是三個軍種各佔一個其中這一個就是遠程精準火力打擊的系統M142海馬斯 |
transcript.whisperx[149].start |
6368.3 |
transcript.whisperx[149].end |
6382.971 |
transcript.whisperx[149].text |
二、海軍魚叉飛彈防衛系統..案機CDCM、RGM-84L以及空軍高空無人機這三個重大軍售案在交貨以後完成戰備但分屬三個軍種 |
transcript.whisperx[150].start |
6386.193 |
transcript.whisperx[150].end |
6400.851 |
transcript.whisperx[150].text |
請教部長在整體運用構想上如何納入C4ISR有關於目獲目標分配目標的損害判別這個整合系統我們國軍能不能國內的發展配合裝備的獲得 |
transcript.whisperx[151].start |
6404.285 |
transcript.whisperx[151].end |
6433.585 |
transcript.whisperx[151].text |
我們現在執管的這個系統就現在正在進行這個研議當中那個我想委員也一直在關切我們陸軍用的是UTM那個海空軍用的是那個WGS84那就這個兩個部分如何進行一個有效的整合現在也正在進行這個討論當中那我想應該是可以來進行 |
transcript.whisperx[152].start |
6434.225 |
transcript.whisperx[152].end |
6441.149 |
transcript.whisperx[152].text |
我們希望裝備獲得以後發揮戰力的時間不要因為國內主管系統比較慢而延宕了讓他的系統無法整合發揮這個是我們提出的重點 |
transcript.whisperx[153].start |
6458.039 |
transcript.whisperx[153].end |
6469.272 |
transcript.whisperx[153].text |
我們已經昨天之前就剛好就已經在做這樣的準備我想應該是應該是沒有可以整合沒有問題 |
transcript.whisperx[154].start |
6472.479 |
transcript.whisperx[154].end |
6496.374 |
transcript.whisperx[154].text |
這個月的12號到17號剛好在珠海航展就是中國大陸的航空航天博物展他除了邀請各國尤其是俄羅斯把他的先進武器裝備飛機海上展具他這次推出了一個他實際上是反無人系統這個系統等於說把共同圖像COP |
transcript.whisperx[155].start |
6497.615 |
transcript.whisperx[155].end |
6499.316 |
transcript.whisperx[155].text |
一、審查114年度中央政府總預算案附屬單位預算案附屬單位 |
transcript.whisperx[156].start |
6513.183 |
transcript.whisperx[156].end |
6540.074 |
transcript.whisperx[156].text |
他的能量非常強大那這個呢對我們中科院來講不管是借鏡或者是挑戰這是一個值得參考的我下一頁特別做出來尤其是我們現在民間廠商做出的無人機交給軍中尤其是陸軍的同仁的基層單位在用他對這個飛機的操作性能以及回收回來的訊息影像有沒有辦法整合 |
transcript.whisperx[157].start |
6541.074 |
transcript.whisperx[157].end |
6555.182 |
transcript.whisperx[157].text |
這裏面因為它的開發單位是中國航天對我們來講相對的就是國家中山科學研究院它的角色跟它是相同的所以它現在看看這個系統裏面的圖像我們特別講它的目的 |
transcript.whisperx[158].start |
6556.42 |
transcript.whisperx[158].end |
6560.501 |
transcript.whisperx[158].text |
二、審查114年度中央政府總預算案附屬單位預算關於國防部主管非營業基 |
transcript.whisperx[159].start |
6578.653 |
transcript.whisperx[159].end |
6606.343 |
transcript.whisperx[159].text |
為行新型的飛彈雷射武器軟砂硬砂同步整合那對於目標這個源頭訊號源不同他要做驗證那剛才我之前跟這個院長有提到我們要把ROE要納入這個系統因為這裡面就是戰務令就是授權長官的責任承擔以及下屬任務受領那個時候如果沒有ROEman in the loop on the loop |
transcript.whisperx[160].start |
6607.403 |
transcript.whisperx[160].end |
6624.37 |
transcript.whisperx[160].text |
這個時候再回頭請示是來不及的那麼他的能量管制能量非常大處理目標非常大這個是因為他這兩天在珠海展已經出來了是不是這個參考的我們請院長做一個回應因為這個值得我們做借鏡甚至要挑戰超越 |
transcript.whisperx[161].start |
6624.946 |
transcript.whisperx[161].end |
6647.318 |
transcript.whisperx[161].text |
我很簡短的跟委員回應這裏面包含兩個挑戰第一個就是不同網路中間怎麼去安全的去傳遞資訊流那這個部分我們已經克服了我們會引進後量子加密的技術來去做最有效的資訊流的傳遞所以跨網界階的部分不會有問題第二個部分就是ROE輸入的問題因為ROE會牽涉到智慧決策的COA |
transcript.whisperx[162].start |
6648.959 |
transcript.whisperx[162].end |
6671.569 |
transcript.whisperx[162].text |
你ROE輸入的不正確你出來的行動方案就不會是這最明確最正確的行動方案那有關ROE輸入部分這個部分我們還要對我們部隊在做再教育那我們也希望能夠引進類似相關的經驗能夠讓部隊去授課接受這樣的訓練輸入最精準的ROE我們才能去做最正確的智慧決策 |
transcript.whisperx[163].start |
6673.786 |
transcript.whisperx[163].end |
6702.883 |
transcript.whisperx[163].text |
最後提醒一個就是這種先進武器運用導入的概念我們希望在國防大學的課程要及早納入以上 謝謝對 我們現在也跟廣東大學正在來進行研討讓他們這些教官們都能夠吸取最新的我們的不管是戰術戰法還有這些相關的這些應該有的觀念來教導這些資產學員或戰員的這些謝謝各位大家共同努力 |
transcript.whisperx[164].start |
6704.892 |
transcript.whisperx[164].end |
6730.009 |
transcript.whisperx[164].text |
好謝謝陳永康委員你的腿也保重好接下來我們進行詢答的委員是黃仁委員謝謝主席有請顧部長來部長請 |
transcript.whisperx[165].start |
6738.214 |
transcript.whisperx[165].end |
6764.469 |
transcript.whisperx[165].text |
是,黃委員好部長好那有關於明年度的總預算終於復為了比過往晚了大約大概兩個月那請問部長對於國慶的戰備、整備是否有造成影響那國慶這一段時間是否因為預算沒有復為而停止信念停止這一些進度請回答 |
transcript.whisperx[166].start |
6765.969 |
transcript.whisperx[166].end |
6788.918 |
transcript.whisperx[166].text |
我想因為今年是明年還沒到今年是編明年的預算所以我想如果預算沒有辦法如期通過的話當然對明年的我們的戰備準備會有比較大的影響那今年的話當然我們希望能夠如期的能夠來完成預算那就不會對明年的戰備準備造成影響我想不會造成因為 |
transcript.whisperx[167].start |
6790.086 |
transcript.whisperx[167].end |
6815.478 |
transcript.whisperx[167].text |
因為這個總預算裡面是有三項第一個是禁法補償第二個就是我們的公糧收購包含我們的醫務醫療的這個部分而已另外80%以上都在進行而且是合法的進行怎麼會有影響所以很多的誤解都造成了所以要你說明我們 |
transcript.whisperx[168].start |
6816.741 |
transcript.whisperx[168].end |
6831.559 |
transcript.whisperx[168].text |
負為這個部分會影響到總預算國防的總預算的進度和進行和停止訓練所以這個部分我覺得你再說清楚好不好我剛已經說了就是說 |
transcript.whisperx[169].start |
6833.517 |
transcript.whisperx[169].end |
6834.537 |
transcript.whisperx[169].text |
既有進行的不可能會因為 |
transcript.whisperx[170].start |
6855.922 |
transcript.whisperx[170].end |
6882.557 |
transcript.whisperx[170].text |
總預算的因素而停止就是跟這個持續跟部長講得清楚沒有任何在尤其是國軍的運作裡面不可能因為預算而停止訓練包含既有的進度以上跟你來說明那第二個是國防國防預算在GDP的比例我們現有的國防預算 |
transcript.whisperx[171].start |
6884.258 |
transcript.whisperx[171].end |
6912.784 |
transcript.whisperx[171].text |
比例應該要提高我們GDP的比例是否要提高因為我們從我們在美國總統的選舉之後之前就提出未來如果川普能夠當選要對我們台灣進行進行保護費那我們現在有很多的疑慮第一個國防的預算是不是提高 |
transcript.whisperx[172].start |
6914.057 |
transcript.whisperx[172].end |
6928.21 |
transcript.whisperx[172].text |
還是要按照他們所說的提高5%或者是10%對我們整個的國金戰備包含我們的總預算的比例會有沒有影響部長你來回答 |
transcript.whisperx[173].start |
6929.653 |
transcript.whisperx[173].end |
6949.103 |
transcript.whisperx[173].text |
我剛剛就羅委員的問題我也已經回答了我們還是會依照我們的這個敵情的威脅我們作戰的實際的需要然後根據剛剛我提到的建構不對稱戰力提升防衛韌性強化後備戰力及灰色印組等幾個要項 |
transcript.whisperx[174].start |
6951.165 |
transcript.whisperx[174].end |
6967.966 |
transcript.whisperx[174].text |
來透過既有的這一個跟美方的這一個交流的機制來提出如果我們認為是需要向美方來採購的話那我們這個軍購的這個項目要跟美方做個溝通那至於因為這樣子的情況之下那麼會提升 |
transcript.whisperx[175].start |
6968.947 |
transcript.whisperx[175].end |
6989.009 |
transcript.whisperx[175].text |
到多少我現在沒有辦法給出一個一定的答案因為我們還要看整個整體的國家財政預渡那我想依照過去3年來我們的平均成長都在8%左右所以我們可以預期應該還是國防預算還是可以穩健的來成長來強化我們自我衡量的能力以及展現我們的決心 |
transcript.whisperx[176].start |
6990.421 |
transcript.whisperx[176].end |
7016.74 |
transcript.whisperx[176].text |
我們國防部我們的主計局長謝其賢中將也都表示國防預算能夠佔GDP的3%為目標另外當然美國川普的他上一任期的國家安全顧問歐布萊恩曾經在我國外國防支出的增加要到GDP的5%那 |
transcript.whisperx[177].start |
7019.68 |
transcript.whisperx[177].end |
7029.446 |
transcript.whisperx[177].text |
這樣一說對於我們的整個的財政就會影響到而且另外我特別提出來這個部分是我們 |
transcript.whisperx[178].start |
7031.564 |
transcript.whisperx[178].end |
7055.426 |
transcript.whisperx[178].text |
本席想知道國防部的想法到底國防預算未來會增加多少還是受到美國的壓力本席提供一份在斯德哥爾摩國際和平研究所裡面所提出有關於2023年世界軍事支出的這個趨勢的報告其中2023年 |
transcript.whisperx[179].start |
7057.047 |
transcript.whisperx[179].end |
7061.893 |
transcript.whisperx[179].text |
各國軍事支出佔GDP的比例超過3%的國家由一美國3.4%二國5.9%沙烏地阿拉伯7.1%烏克蘭37% |
transcript.whisperx[180].start |
7075.029 |
transcript.whisperx[180].end |
7097.737 |
transcript.whisperx[180].text |
波蘭3.8%以色列5.3%阿爾及利亞8.2%科威特4.9%希臘3.2%阿曼5.4%以全世界的平均為2.3和我國現有的規模差不多但是這一些比如說俄國 |
transcript.whisperx[181].start |
7099.585 |
transcript.whisperx[181].end |
7125.235 |
transcript.whisperx[181].text |
二國就是一個戰事的國家那另外以色列也是一個戰事的國家尤其是烏克蘭那動盪的國家裡面是阿爾及利亞包含阿曼這個國家裡面他們都是在超過5%我們國內並沒有任何的動盪或是在戰備當中戰爭當中我們有必要提升5%嗎你說 |
transcript.whisperx[182].start |
7128.241 |
transcript.whisperx[182].end |
7150.506 |
transcript.whisperx[182].text |
跟委員報告我剛還是講是說我們國防部的立場還是期待這個光預算能夠穩健的成長但是我沒有辦法現在給委員一個數字說我們一定能夠占到GPP的多少那剛剛也提到就是說今年明年114年度編的裡面還有特別預算904億 |
transcript.whisperx[183].start |
7152.046 |
transcript.whisperx[183].end |
7165.43 |
transcript.whisperx[183].text |
一百一十五年還有六百九十二億那到了一百一十六年的時候呢這個特別預算就沒有了那如果從這個絕對值來看的話那我們應該有比較大的預度來進行比較相關的這個 |
transcript.whisperx[184].start |
7174.793 |
transcript.whisperx[184].end |
7181.544 |
transcript.whisperx[184].text |
採購我們所需要我剛剛提到了幾個面向的一些這個作為 |
transcript.whisperx[185].start |
7183.381 |
transcript.whisperx[185].end |
7206.792 |
transcript.whisperx[185].text |
那但是在這個部分如果都放在年度預算的話會不會擠壓到這個整體的這個行政院的預算我們這個時候就要考慮現在大概是佔國防預算是佔15%多這個大概是三年差不多都是這樣的一個比例那我們到底能夠佔到整體的預算的是多少這個部分我們還要跟主席總處來商量 |
transcript.whisperx[186].start |
7207.432 |
transcript.whisperx[186].end |
7228.682 |
transcript.whisperx[186].text |
那所以我剛剛也提到了就是說如果大家都有共識要來就這些相關我們符合我們防衛作戰需要的這些武器來編列特別預算的話我們也不會排除如果能夠獲得大院的支持的話那這樣有可能就一方面可以穩健的增加我們的國防預算一方面不會排擠到 |
transcript.whisperx[187].start |
7229.455 |
transcript.whisperx[187].end |
7246.113 |
transcript.whisperx[187].text |
這個整體的財政預算那這個部分我們會來擬議因為我們今天我們非常擔心的是什麼因為美國會對我們台灣會不會有其他的施加的壓力按照我們過去的平均值 |
transcript.whisperx[188].start |
7246.954 |
transcript.whisperx[188].end |
7276.255 |
transcript.whisperx[188].text |
今年度的國防預算占總體的GDP的百分之二十二點三八二點三八整體規模為六千零六億元那第二個是明年的國防預算占總體的GDP的百分之二點四五在總體的規模是六千四百七十億所以這個就是我們現在拉到這樣的一個 |
transcript.whisperx[189].start |
7277.516 |
transcript.whisperx[189].end |
7289.232 |
transcript.whisperx[189].text |
已經算是最高的一個總預算那如果在未來因美國的壓力的話會不會有動盪到我們整個國防預算的提升 |
transcript.whisperx[190].start |
7291.033 |
transcript.whisperx[190].end |
7319.813 |
transcript.whisperx[190].text |
我想跟委員報告我們還是會按我們實際的需求來做有關我們的人員維持會由於義務益的增加我們人員維持會我們預估應該也會有一定的增加那我們作業維持會也是會增加所以如果有這樣子的一個預度的話那軍事投資的部分在我們實際需求之下我們也能夠有一個穩健的成長的話所以我們國防預算應該還是會期待有一定程度的一個增長 |
transcript.whisperx[191].start |
7320.493 |
transcript.whisperx[191].end |
7341.25 |
transcript.whisperx[191].text |
控管希望能夠這個比例一定要保持這樣的一個比例我想這就是一個國人關切的好不好應該都是要花在這個我們實際的需要上面這樣子好 謝謝部長請回喔 謝謝防人委員那接下來請王定宇委員 謝謝 |
transcript.whisperx[192].start |
7353.759 |
transcript.whisperx[192].end |
7356.56 |
transcript.whisperx[192].text |
馬雲主席顧部長部長早川普剛才稍早就已經宣布他新任的國防部長是赫格賽斯彼得赫格賽斯彼得赫格賽斯我們一般外界看到他是一個年輕的福斯新聞網的記者 |
transcript.whisperx[193].start |
7381.104 |
transcript.whisperx[193].end |
7405.813 |
transcript.whisperx[193].text |
那他本身跟軍方的歷練是在國民警衛隊那曾經參加過阿富汗啦或者是關塔納摩灣這些戰爭伊拉克等等所以他是一個戰鬥的步兵那本身他也是普林斯頓大學哈佛大學碩士學位那這一個新任的國防部長 |
transcript.whisperx[194].start |
7406.713 |
transcript.whisperx[194].end |
7421.747 |
transcript.whisperx[194].text |
我不會問說你有沒有對他有所認識因為在他任命之前我還沒有看到有人猜到他的所以就部長未來跟美國的國防部的互動跟這個新的部長我第一個要請教就是部長你本身服役的時候是擔任什麼職務 |
transcript.whisperx[195].start |
7422.987 |
transcript.whisperx[195].end |
7445.822 |
transcript.whisperx[195].text |
我是運輸牌牌長你是牌長你知道為什麼要問嗎我前兩天還在媒體在那個網路上看到有人說你是沒有當過兵的在當國防部長沒有就預官考到運輸運輸牌牌長以前退下來可以去開火車你去當你去當那個律師跟委員報告我這個運輸牌是很特殊的是陸軍唯一的一個傳播營 |
transcript.whisperx[196].start |
7447.542 |
transcript.whisperx[196].end |
7475.361 |
transcript.whisperx[196].text |
傳播營運輸牌傳播營因為那時候馬祖沒有港口沒有機場所以要從楊字澳驅逐艦下來做我們那個開口笑的那個是LCM然後去搶探登陸我是屬於那個部隊的所以那個是兔到寶的部隊不過因為你本身也有服役的經驗那這位赫格賽斯新任的部長他最重要的任務就是俄烏戰爭中東衝突台海 |
transcript.whisperx[197].start |
7476.363 |
transcript.whisperx[197].end |
7483.524 |
transcript.whisperx[197].text |
那我是不是先請教你本身對這個美國國防部新任部長終於任命出來了你有什麼看法 |
transcript.whisperx[198].start |
7484.366 |
transcript.whisperx[198].end |
7512.315 |
transcript.whisperx[198].text |
我看到相關的資料那個他相當年輕嘛1980年40來歲才40幾歲吧對不到50歲那我看到是川普在這個推他的時候呢說明他是美國優先的這個強烈支持者他是Team Mega的成員之一是那我想我在這邊特別提出一個觀點就是說 |
transcript.whisperx[199].start |
7513.215 |
transcript.whisperx[199].end |
7540.674 |
transcript.whisperx[199].text |
我覺得我們美台有一個共同的基本利益就是說絕不容許再有在俄烏戰爭之外以東的以以哈的這個衝突之外在台海的這個地區再有發生戰事或者是任何的衝突我覺得這個是非常符合美國的利益也同時符合台灣的利益所以台美雙方有一個共同的基本利益那如何來確保這樣子的一個台海和平穩定現狀的維持 |
transcript.whisperx[200].start |
7543.175 |
transcript.whisperx[200].end |
7571.694 |
transcript.whisperx[200].text |
我覺得這是我們應該有的一個共同基礎點在這個基礎點出發我們就可以得到一個共同能夠跟這個國防部也好有一個共同的想法共同的利益那就會有對話的基礎所以不僅僅是要打贏戰爭更根本的是嚇阻戰爭的發生所以我接下來就要問我剛才看到幾位同仁都問到預算規模的問題當然每個國家的經濟量體不同GDP到幾% |
transcript.whisperx[201].start |
7573.075 |
transcript.whisperx[201].end |
7598.304 |
transcript.whisperx[201].text |
代表的金額像有一些數據看起來5%、9%可他國家的經濟量體小哪怕增加到那個%數那個金額也不大像日本他今年的預算就來到兩兆台幣那兩兆台幣他其實增加一點點以他的經濟量體他的額度就增加相當多所以當然我們期待我們國防預算的佔比可以提高目前是來到2.5%但也也因為這幾年台灣的經濟總體經濟不錯所以我們的經濟量體放大 |
transcript.whisperx[202].start |
7602.185 |
transcript.whisperx[202].end |
7613.611 |
transcript.whisperx[202].text |
所以現在的2.5%跟以前的2.5%金額規模其實差別相當大所以就來到第二個命題就是預算增加不是就安全預算增加要用在哪裡 |
transcript.whisperx[203].start |
7614.967 |
transcript.whisperx[203].end |
7638.898 |
transcript.whisperx[203].text |
這是很重要的我剛剛看部長有稍微回答到這一點像我們新增裝備我們的軍事投資你增加一個軍事投資一定要先預想這個軍事投資在保固期過了之後以後作為費會不會吃掉了我這個軍總所有的作業維持費或者我的人員訓練後續人員的補上所以我是不是請部長簡短對於我們明年度的國防預算來到2.5%6千多億 |
transcript.whisperx[204].start |
7640.999 |
transcript.whisperx[204].end |
7667.649 |
transcript.whisperx[204].text |
那當然我們現在僭建在SAAT要等到SAAT測試完之後才有後續那我們明年後年是我們軍事投資付款的高峰期那也許就在明年底後年之後可以騰出手來可以有所增加你有沒有什麼樣的期待按照目標我們國家的國防預算希望至少達到3%以上還是如同你剛才一直在回答就是我沒有計畫我就是按照目標往前走 |
transcript.whisperx[205].start |
7668.149 |
transcript.whisperx[205].end |
7688.423 |
transcript.whisperx[205].text |
那我這邊要多一個命題如果重要的盟友要求看到數據的呈現的時候你本身的態度是什麼比如說美國希望台灣的預算佔比國防預算佔比你不要說5%、10%先到3%再說如果做出這樣要求的時候身為國防部長你的看法是什麼 |
transcript.whisperx[206].start |
7688.956 |
transcript.whisperx[206].end |
7718.385 |
transcript.whisperx[206].text |
那我很簡單如果說美國要跟我做這樣的對話的時候我會問說這個武器裝備我們現在有兩個兩個我剛剛講四個面向如果你把它簡單區分成兩個面向第一個就是平時的時候我們要應付灰色地帶的威脅那我們應付灰色地帶的威脅現在中共跟我們打消耗戰那我們還是要有一些常規性的一些載台來應對這個灰色地帶那如何有效的應對灰色地帶這可能是一個命題我們要跟美國好好的溝通 |
transcript.whisperx[207].start |
7719.025 |
transcript.whisperx[207].end |
7744.586 |
transcript.whisperx[207].text |
那在暫時的時候要用什麼樣子的一個國土防衛作戰的概念我之前也提過我們現在不但提出削弱戰略這些等等那如何來拒止這個中國的這個登陸的成功那這個就是我們的一個要有效作為那如何哪一方面的武器是最有效能夠來拒止中國的登陸的行動能夠成功這一個部分就是我們應該要美國跟溝通的也就是說 |
transcript.whisperx[208].start |
7745.427 |
transcript.whisperx[208].end |
7768.099 |
transcript.whisperx[208].text |
我們會穩健成長但是我們要跟美國溝通什麼樣的武器才是一個有效的在我們這個國土防衛作戰在戰協我剛聽你這樣講就是說我在平時面對威脅不管它叫灰色地帶威脅或叫什麼威脅我平時會有我軍事的力量的展現去維持國家至少我們國界的安全嘛 |
transcript.whisperx[209].start |
7768.619 |
transcript.whisperx[209].end |
7785.918 |
transcript.whisperx[209].text |
對我們的情節能力量我們的常規在暫時的時候我要去怎麼樣保護自己的國家嘛那甚至於在平時的投資不是為了打敗是為了嚇阻戰爭的發生是所以如果美國提出這樣的話我們就會提出我們應該要談的東西所以這最近不是 |
transcript.whisperx[210].start |
7786.539 |
transcript.whisperx[210].end |
7806.586 |
transcript.whisperx[210].text |
金融時報報了一個菜單出來我看了那個我覺得那個菜單是有待商榷因為美國光那個10艘淘汰下來的軍艦要賣人家美國現在手上沒有那麼多淘汰的軍艦但是裡面有提到E2D提到F35提到這些東西未來如果在GDP |
transcript.whisperx[211].start |
7807.406 |
transcript.whisperx[211].end |
7835.784 |
transcript.whisperx[211].text |
必須因應調高的時候我們平時的嚇阻性的載台因應灰色地帶的載台跟暫時要保衛國家的要讓敵人無法登陸作戰成功的東西那個金融時報報出來的東西是不是我們要的跟委員報告我覺得我沒有辦法對金融時報報道的加以做具體的一個評論因為我看 |
transcript.whisperx[212].start |
7837.077 |
transcript.whisperx[212].end |
7856.842 |
transcript.whisperx[212].text |
這個 有些報導所講的 我不認為是我是覺得有帶上去啦 裡面有些數字但我想依照我們台美之間的默契我們對於具體的武器裝備我們需要籌購的我想美國在公開智慧國會之前我們都不會 原力都不會對個別的武器裝備我們需要籌購的部分來加以評論這個還要請委員能夠諒解 |
transcript.whisperx[213].start |
7858.962 |
transcript.whisperx[213].end |
7887.263 |
transcript.whisperx[213].text |
我了解我最後一分鐘我今天看到媒體報導我其實蠻高興的就是有關軍人撫恤條例部分條文修正案努力了三年快四年2020年那時候是因為我們一個操演然後那個阿兵哥從焦州上面翻覆然後有些過世了你知道我們我們的第一線的軍事官兵都很年輕所以如果結婚的話孩子都還小那我們正常的 |
transcript.whisperx[214].start |
7890.214 |
transcript.whisperx[214].end |
7909.645 |
transcript.whisperx[214].text |
復續、軍保、正常的給付本來就有但後來發現越基層的士官兵他的復續金額就偏低所以那當時本席就提出對他未成年子女應該要給予他照顧他就是你為國家犧牲我們不希望發生意外有一天意外發生了你的孩子國家會幫你照顧好 |
transcript.whisperx[215].start |
7910.685 |
transcript.whisperx[215].end |
7931.897 |
transcript.whisperx[215].text |
這個態度開始去修這個法所以那個歷程從2020年10月6號然後一直到2023年5月23號三讀通過那這一次裡面有提到我看到媒體報導在我們海湖潛艦六名官兵落水三名失蹤其中失蹤的士官他的兩名孩子還在未成年我們將可以照顧他所以未來因為作戰 |
transcript.whisperx[216].start |
7932.697 |
transcript.whisperx[216].end |
7961.502 |
transcript.whisperx[216].text |
不信因公殉職的孩子每個月我們可以有兩萬五照顧到他成年如果是演訓不信因公殉職的孩子每個月兩萬照顧到成年如果是天然救災因公殉職的每個月一萬五照顧到他成年這個是在既有撫恤以外增加的所以這是一個好消息我們增加照顧但是我希望部長思考看看像我們空軍有一位飛官他結婚沒多久孩子還未成年他的飛機 |
transcript.whisperx[217].start |
7963.12 |
transcript.whisperx[217].end |
7985.695 |
transcript.whisperx[217].text |
就前幾年吶掉到海裡面去了那也因為我們這個法令通過的時間沒有照顧到有一些在公告實施之前的所以我最後這個到這個未必說請部長回答就是說我是希望如果我們在過去審視因為演訓因為這三個理由如果他的孩子現在還未成年還在讀大學還是一個小寶寶的時候 |
transcript.whisperx[218].start |
7987.316 |
transcript.whisperx[218].end |
8014.625 |
transcript.whisperx[218].text |
如果他沒有在這範圍內我們是不是想辦法用這樣子的比照這樣子來照顧他們讓他在天之靈對部隊照顧他的妻子兒女感到放心這一點怎麼樣我們請志願室是委員好抱歉我是志願室司長那個應該是可以納入就是何序的時間從會追溯到去年的7月1號對那個是開始發的嘛那如果他發生事故的時間在去年7月1號之前的有沒有納入 |
transcript.whisperx[219].start |
8016.644 |
transcript.whisperx[219].end |
8033.539 |
transcript.whisperx[219].text |
可以檢討納入只差在核序的時間而已他從起點開始領他不能說以前沒有法律可以補領我意思說他如果還未成年是不是從去年開始他就可以支領這一筆哪怕事故發生在五年前七年前都可以納入起領的時間 |
transcript.whisperx[220].start |
8034.96 |
transcript.whisperx[220].end |
8035.16 |
transcript.whisperx[220].text |
馬文君委員 |
transcript.whisperx[221].start |
8065.985 |
transcript.whisperx[221].end |
8069.206 |
transcript.whisperx[221].text |
謝謝主席,麻煩請顧部長來,部長請部長好,部長我記得之前有詢問過快起專案的部分我想請教快起專案是執行哪一個?什麼樣的內容?它的預算有多少?期程是多久? |
transcript.whisperx[222].start |
8089.933 |
transcript.whisperx[222].end |
8097.338 |
transcript.whisperx[222].text |
會計專案好像是列入機密是吧還是(沒關係這個會計專案請部長回答好不好你們先在旁邊2024年3月已經 |
transcript.whisperx[223].start |
8103.009 |
transcript.whisperx[223].end |
8119.199 |
transcript.whisperx[223].text |
我要請部長回答我們會特別這樣子一定是有用意的所以如果要在旁邊講然後等一下大概我們希望可以準備的更周全一點那在這會期專案雖然是機密可是在2024年3月4號聯合報還有2024年4月27號自由時報2024年5月17號上報 |
transcript.whisperx[224].start |
8127.044 |
transcript.whisperx[224].end |
8154.972 |
transcript.whisperx[224].text |
5月18號上報其實都有登過快起專案而且內容也非常的詳細包括他的預算金額執行的期程還有包括他的內容等等所以我想要請教部長您是不是知道快起專案執行的是什麼應該就是一個無人艇的一個他在期程多久期程應該是113到114吧那預算金額大概多少 |
transcript.whisperx[225].start |
8155.971 |
transcript.whisperx[225].end |
8164.355 |
transcript.whisperx[225].text |
預算的金額是應該這可以講嗎預算金額報紙我剛剛念了報紙通通寫了而且金額一致不差 |
transcript.whisperx[226].start |
8166.351 |
transcript.whisperx[226].end |
8186.244 |
transcript.whisperx[226].text |
所以我現在為什麼要特別這樣請教部長這個是因為我之前已經問過了所以也許在旁邊提示之下還有上次問過的印象部長可以很清楚的知道可是因為我們之前有提過過去我們所有的委員國防外交的委員其實都可以拿到我們的 |
transcript.whisperx[227].start |
8186.964 |
transcript.whisperx[227].end |
8190.185 |
transcript.whisperx[227].text |
檢疫本的機密的這個內容因為沒有人可以記得起來而且你用的都是代號我們不知道他為什麼要用這樣的方式這樣大家要怎麼監督或者大家有什麼疑問的時候尤其像朝偉這一次在 |
transcript.whisperx[228].start |
8202.449 |
transcript.whisperx[228].end |
8205.431 |
transcript.whisperx[228].text |
提案時間短短一個禮拜我們今天問完他可能不到一個禮拜的時間就要寫出來我覺得預算要這麼高的情況之下是有點強人所難所以在這裡還是要特別提出雖然他列在機密裡面可是 |
transcript.whisperx[229].start |
8222.728 |
transcript.whisperx[229].end |
8239.98 |
transcript.whisperx[229].text |
今天我們就用媒體已經披露出來的來請教部長因為我記得上一次問過以後部長您說要下去檢討還要瞭解看看嘛那快起專案這個是委中科院研製的他主要就是遙控4艘攻擊無人艇 |
transcript.whisperx[230].start |
8241.481 |
transcript.whisperx[230].end |
8244.965 |
transcript.whisperx[230].text |
總金額8億1200萬其中載台部分2億5000多萬還有導控系統中科院執行大概會5億多因為扣掉的話那載台部分我們一直說它的價格高的離譜部長您是不是在你了解以後你覺得有什麼樣要說明的嗎 |
transcript.whisperx[231].start |
8263.598 |
transcript.whisperx[231].end |
8291.496 |
transcript.whisperx[231].text |
他高達兩億五千七百萬這個在烏克蘭他已經有實戰經驗擊沉了俄羅斯的船艦他的造價才六百多萬甚至如果以他現在最新型的可以可能有逆中功能他是用橡膠材質的他的造價才兩百多萬可是我們光是載台就要六千四百萬我想要請教部長您了解以後你覺得這是合理的嗎 |
transcript.whisperx[232].start |
8292.615 |
transcript.whisperx[232].end |
8292.635 |
transcript.whisperx[232].text |
部長 |
transcript.whisperx[233].start |
8309.435 |
transcript.whisperx[233].end |
8329.403 |
transcript.whisperx[233].text |
這個沒有 量產的時候我們不知道你可以壓低多少可是現階段他沒有太大的一個難度的情況之下因為隆德也造過很多船艦啊他過去不是沒有經驗這一艘就要6400萬因為我們為什麼要造無人機跟無人艇就是它是自殺式的它就是要便宜 |
transcript.whisperx[234].start |
8330.743 |
transcript.whisperx[234].end |
8330.763 |
transcript.whisperx[234].text |
院長﹖ |
transcript.whisperx[235].start |
8357.268 |
transcript.whisperx[235].end |
8362.569 |
transcript.whisperx[235].text |
委員因為它是原型它要包含它的設計費用在裡面那當然後面料產就會降低了院長它有什麼設計因為這個是一個全新的構型您告訴我它有什麼設計無人靶船包括你的勇武專案裡面的無人靶船都已經曾經做過了我們的這種靶船我們台灣過去不是最會造遊艇嗎 |
transcript.whisperx[236].start |
8384.553 |
transcript.whisperx[236].end |
8394.161 |
transcript.whisperx[236].text |
龍德、中信或者甚至台船他們造這種船會有很困難嗎可是你的造價是人家的八倍十倍這是非常離譜再加上這是載台的部分而已喔他全案高達八億多如果平均下來一台要兩億多而不是六千四百萬欸他兩億多裡面是什麼中科院 |
transcript.whisperx[237].start |
8405.39 |
transcript.whisperx[237].end |
8410.594 |
transcript.whisperx[237].text |
他裏面的導控系統過去我看他們一項因為也是報紙燈的就是他的跳屏式干擾衛星導航或者紅外線感應進行辨識避障系統或者鎖定目標以後的終端導引以及自動化執行精確攻擊目標等等這個都在我們過去的 |
transcript.whisperx[238].start |
8426.127 |
transcript.whisperx[238].end |
8437.607 |
transcript.whisperx[238].text |
所有的一些中科院的一個研發案裡面都已經有過技術或者已經都編過預算了這個我們甚至在這一次還編了5億多這是合理的嗎 |
transcript.whisperx[239].start |
8439.4 |
transcript.whisperx[239].end |
8457.905 |
transcript.whisperx[239].text |
委員因為我們必須要把很多已經有的技術去整合整合到這個裡面來院長那是給不知道的人聽的你所謂的整合你的無人機怎麼整合的無人機跟無人艇的差異在哪裡今天你不僅造價非常的高昂因為它是很普通的一些船體而已 |
transcript.whisperx[240].start |
8459.105 |
transcript.whisperx[240].end |
8463.346 |
transcript.whisperx[240].text |
它是自殺式的攻擊你們給的資料全部都列在裡面的那個都是我們原來有的這個部分我們在預算審查的時候還會再詳細的再一次跟大家探討因為為什麼要在這裡說因為我們有很多的預算就像剛剛跟部長建議的如果可以希望讓大家可以更清楚的知道或者應該要怎麼樣去看這個預算不要把那個預算過去 |
transcript.whisperx[241].start |
8486.411 |
transcript.whisperx[241].end |
8506.856 |
transcript.whisperx[241].text |
的慣例通通有給委員我不知道為什麼這一次沒有跟委員報告我想就以剛剛委員質詢的例子為例不管媒體公開的程度是如何我剛剛就在想說你剛剛比如說問到預算的部分我不想去回答的原因就是說大家是因為列入親密預算那跟 |
transcript.whisperx[242].start |
8507.356 |
transcript.whisperx[242].end |
8512.559 |
transcript.whisperx[242].text |
委員如果想要知道我們會親自到我們辦公室就每個案子都可以做報告我們提的沒有機密的問題我現在說的是他現在載台他就是很普通的東西今天人家都已經非常成熟的運用而且我們自己也做過了比如說無人把船在永武專案裡面你就已經 |
transcript.whisperx[243].start |
8527.486 |
transcript.whisperx[243].end |
8528.026 |
transcript.whisperx[243].text |
二、審查114年度中央政府總預算案附屬單位 |
transcript.whisperx[244].start |
8557.586 |
transcript.whisperx[244].end |
8573.138 |
transcript.whisperx[244].text |
因為他還有其他很多主要的功效像我剛剛唸的都是我們已經有的部長你可以再更詳細的去了解這個狀況這個部分他如果要花這麼多錢我們要今天如果換算用那個600多萬算烏克蘭做200燒的時候他才多少12億我們如果做200燒用這樣的價格我們是200多億 |
transcript.whisperx[245].start |
8583.285 |
transcript.whisperx[245].end |
8587.527 |
transcript.whisperx[245].text |
如果我們要做這樣子的供給要編到百分之五GDP甚至百分之十他可以因為你可以這樣編這是我們要特別提出來主席不好意思 |
transcript.whisperx[246].start |
8599.912 |
transcript.whisperx[246].end |
8604.014 |
transcript.whisperx[246].text |
你兩年就可以把它研製出來表示這個不是困難的一個技術你今年標出去明年就要完成這四艘它不是很困難部長請從這裡去理解這個預算的一個不合理處跟主席借一點時間這個也是有關福利的部分那可以看到我們在這個 |
transcript.whisperx[247].start |
8626.671 |
transcript.whisperx[247].end |
8635.749 |
transcript.whisperx[247].text |
勞務承攬的這個我們看一下臨時人員在參謀本部我們編的預算一個人臨時人員一個人高達一個月高達 |
transcript.whisperx[248].start |
8637.176 |
transcript.whisperx[248].end |
8662.087 |
transcript.whisperx[248].text |
十六萬多比市長還多他負責軍事行政我們看到下面那個表格他科研的一個月才兩萬多五十五個人編四百三十六萬平均一個人才兩萬多那上面那個一個人他是什麼樣的臨時人員一個人一個月可以領十六萬多那在下面一個就是環保業務的一個人也是一個月領六萬多 |
transcript.whisperx[249].start |
8663.888 |
transcript.whisperx[249].end |
8683.846 |
transcript.whisperx[249].text |
我們不知道他是亂編還是這是要讓我們去審的這樣的預算嗎這部分時間因為時間不太夠所以這我們先提出來另外還有一個就是看到應該我想應該是聯俄的傳譯的部分吧應該傳譯英文 |
transcript.whisperx[250].start |
8687.32 |
transcript.whisperx[250].end |
8693.682 |
transcript.whisperx[250].text |
一個月的薪資比一個次長還要高一個月16萬多16萬多多資深你的臨時人員這個多資深我們下去再跟委員做一個報告 |
transcript.whisperx[251].start |
8703.066 |
transcript.whisperx[251].end |
8716.945 |
transcript.whisperx[251].text |
因為我們看到下面軍醫局海軍司令部所有的單位每一個環保人員一個月才一萬多甚至比基本工資還不如可是其他的都很高還有六萬多的 |
transcript.whisperx[252].start |
8718.997 |
transcript.whisperx[252].end |
8746.838 |
transcript.whisperx[252].text |
參謀本部的臨時人員環境的(拜委員是聯合次長有關於剛剛委員所提出來這個問題我們後面澄清清楚以後再跟委員做書面的報告我們現在也要提醒如果你可以澄清清楚當然是最好我不知道有什麼樣的臨時人員可以比次長還要高而且你說資深傳譯這個我們給時間讓他們說明你們把它理清楚到時候審預算的時候或者跟委員都可以做交流跟溝通好不好 |
transcript.whisperx[253].start |
8747.358 |
transcript.whisperx[253].end |
8751.261 |
transcript.whisperx[253].text |
再一個就是我們加班費的部分這個也是我們當時跟王朝偉其實我們在上一屆其實有提到上一屆還是這一屆所以剛剛委員那個問題我們回去再了解因為可能也許剛剛的訊息是有點我們再去查證一下好不好 |
transcript.whisperx[254].start |
8764.893 |
transcript.whisperx[254].end |
8776.098 |
transcript.whisperx[254].text |
因為是你的預算書寫出來我們看到的就這樣那讓你們查清楚以後再說那可是我要再請教部長就這個112、113、114年度因為我們就加班費、夜點費的部分從60塊所要增加到100塊可是你看它最下面它112年度的金額113年度、114年度你從60塊變成100塊可是你的那個預算卻更低是什麼原因 |
transcript.whisperx[255].start |
8796.593 |
transcript.whisperx[255].end |
8801.117 |
transcript.whisperx[255].text |
那你是跟我們之前的那個狀況是一樣就是你讓大家看得到吃不到的意思這樣嗎? |
transcript.whisperx[256].start |
8820.993 |
transcript.whisperx[256].end |
8826.796 |
transcript.whisperx[256].text |
這我們會去檢討去做一個依註因為核定的時間是在8月中以後一個就是一定要能夠支應第二個預算編在哪裡到時候預算會議的時候來告訴大家這個部分是我們已經對你讓所有的國軍弟兄都已經知道最大的可能是這樣 |
transcript.whisperx[257].start |
8843.286 |
transcript.whisperx[257].end |
8845.829 |
transcript.whisperx[257].text |
接下來進行詢答委員是沈博洋委員那沈博洋委員詢答結束後我們來處理臨時提案 |
transcript.whisperx[258].start |
8871.706 |
transcript.whisperx[258].end |
8872.329 |
transcript.whisperx[258].text |
謝謝主席 有請部長 謝謝來 部長請 |
transcript.whisperx[259].start |
8882.629 |
transcript.whisperx[259].end |
8903.463 |
transcript.whisperx[259].text |
部長好那這個因為時間有限我大部分是要問預算的問題但是在這個之前剛好這次有發生一個時事就是這一個吳小林委員他有提案要去刪這一個9條之3的規定那我知道國防部之前其實也已經有做過相關的這個懲處那我想問一下就是因為畢竟這件事情在 |
transcript.whisperx[260].start |
8903.863 |
transcript.whisperx[260].end |
8923.25 |
transcript.whisperx[260].text |
另外,這個王帝委員跟林楚瑜委員其實也有提案他是要把九之三修的更多比如說,包含這個配合中國具有統戰目的的政治宣傳的行為那我想問一下部長就是說這個因為現在當然他們現在簽的人是不夠啦看起來可能不會提案但不知道這個提案當時他們有沒有跟國防部知會過或者討論過這件事情 |
transcript.whisperx[261].start |
8925.311 |
transcript.whisperx[261].end |
8946.509 |
transcript.whisperx[261].text |
您說翁委員嗎?對,翁委員的提案我個人沒有,不知道因為我覺得這件事情畢竟對我們來講這一個是我們今天對於退將去參與統戰的行為的規範就已經非常少了甚至有不夠細緻的問題所以照理說我們要修的方向應該是要把它變得更細緻才對那如果拿掉的話對我們不管是在 |
transcript.whisperx[262].start |
8947.149 |
transcript.whisperx[262].end |
8961.846 |
transcript.whisperx[262].text |
這一個對於國人的交代或者說在軍隊內部的士氣我覺得會有很重大的影響那我是希望如果之後還有類似的提案國防部能夠堅守原本的一個態度那不然的話如果像這樣的一個情勢發生的話國家安全的守護可能會出問題 |
transcript.whisperx[263].start |
8963.021 |
transcript.whisperx[263].end |
8989.922 |
transcript.whisperx[263].text |
那這個接下來這個我就先放在旁邊我想問一下預算的問題那現在預算來講就是有第一個是財化法通過的問題這個上次我在博富的時候我有先稍微提過那當然極端的情形會刪到2700多億我覺得這個太極端了但如果我們用主計出的算法假設每一個都去刪到三分之一到四分之一的話那財化法通過最後 |
transcript.whisperx[264].start |
8991.407 |
transcript.whisperx[264].end |
9014.2 |
transcript.whisperx[264].text |
國防預算會被刪有可能是一千六百多億這是比較保守的算法那一千六百多億現在被刪的話呢軍事投資本身就是一千四左右所以簡單來講就是軍事投資有可能會全部都沒有啦然後還必須再從作業維持再刪掉一百九十五億那因為上次是跟伯父講上次因為部長不在那不知道現在國防部對這件事情有沒有什麼因應的做法 |
transcript.whisperx[265].start |
9015.96 |
transcript.whisperx[265].end |
9037.461 |
transcript.whisperx[265].text |
我想財化法的通過如果影響到這個我們年度的國防預算的這個穩定的成長的話我想這個對於我們這個要自我防衛的能力的一個建構以及這個有盟國家對於我們有沒有自我防衛的能力的決心應該會有所質疑這樣 |
transcript.whisperx[266].start |
9038.242 |
transcript.whisperx[266].end |
9044.694 |
transcript.whisperx[266].text |
對,而且軍事投資的部分因為我知道有一些比如說軍事的採購啊等等之類他是已經簽約了啦那已經簽約的話如果這個預算沒有編出來那該怎麼辦 |
transcript.whisperx[267].start |
9047.679 |
transcript.whisperx[267].end |
9068.856 |
transcript.whisperx[267].text |
就持續案的部分一直有相當大的一個金額在軍事投資的部分那持續案的部分應該是要持續編列下去如果沒有編列下去的話那這個會構成對我們相關的這些不管是自主的研發生產或者是我們軍購的都會構成重大的影響 |
transcript.whisperx[268].start |
9069.737 |
transcript.whisperx[268].end |
9094.913 |
transcript.whisperx[268].text |
我相信這一個月很有可能這件事情一定會走到協商這一個地步那在總預算審查的時間這件事情如果也同步是在協商的階段他們有可能會針對金額去討論說到底要刪哪裡啊到底中央能夠去被割掉多少啊那個時候我們很需要國防部能夠表達意見不然的話因為對於很多地方財政來講他們第一個想到的就會想說反正國防是中央的事情要砍第一個先砍國防 |
transcript.whisperx[269].start |
9096.094 |
transcript.whisperx[269].end |
9123.733 |
transcript.whisperx[269].text |
國防的金額又夠大所以如果要湊到他們講的那一個額度的話國防一定是首當其衝那希望在協商的時候國防不能夠來表達意見是我們對我們必要的這些有關人員維持作業維持跟軍事投資的部分當然我們非常的不希望因為這樣子的任何法案的通過造成對於國防編列的這個影響特別是在這一個關鍵的時刻 |
transcript.whisperx[270].start |
9125.474 |
transcript.whisperx[270].end |
9154.654 |
transcript.whisperx[270].text |
謝謝顧部長那接下來我想問一下跟剛剛馬委員問的問題有點類似就是加班費的問題就是這個我先跳過但是這個畢竟就是我們現在供給擾台變得越來越多了那大家的這個作業不管是加班等等之類的情形也越來越多那我其實現在就有可能一個情形就是加班真的是加不完太多了但現在也有休假就是沒有辦法去休的問題所以現在就是說因為之前休不完有時候會說那把它弄到明年但明年一定也休不到 |
transcript.whisperx[271].start |
9155.414 |
transcript.whisperx[271].end |
9183.684 |
transcript.whisperx[271].text |
那這個修不完呢有一個方式可能就是做則算補貼因為2023年的時候大法官有解釋就是說呢可以放寬一下那樣的一個定義就是軍人是一個廣義的公務人員所以我們不知道有沒有機會請國防部來盤點一下這件事情就是說呢就是這個2024年現在累積的這個假期的天數然後有沒有機會譬如說假設他今天真的修不到了因為畢竟現在業務太繁忙人也不夠有沒有機會用什麼則算金或者其他的方式 |
transcript.whisperx[272].start |
9184.344 |
transcript.whisperx[272].end |
9196.324 |
transcript.whisperx[272].text |
那這個是不是可以請國防部在一個月之內能夠研擬相關的方案讓我們在預算討論的時候能夠去看有沒有辦法讓這些過度忙碌的官兵至少有一個休假休不到但他至少有一個補償 |
transcript.whisperx[273].start |
9200.017 |
transcript.whisperx[273].end |
9218.717 |
transcript.whisperx[273].text |
是 包委員我們回去持續再做一個做一個沒問題希望是在預算的這一個時候因為我覺得這個畢竟因為他休假休不到嘛你看看他太忙了那另外也順便我再問另外一件事情就是就是因為現在大家忙那在民間我們常常會講四人薪僱三員工作五份工勞那現在當然是 |
transcript.whisperx[274].start |
9219.898 |
transcript.whisperx[274].end |
9248.039 |
transcript.whisperx[274].text |
以公務機關來講不可能用四人薪然後呢雇三員工做五份工但現在現實的狀況是大家會過度的忙碌所以剛剛第一個我們想到的就是休假這個部分有沒有折算金的問題那第二個就是呢這是國防部大概行政上就可以去運作的不管是我們之前在考察的加菜金啊什麼等等之類的我覺得這個部分就一起做研擬但我接下來想要問的是這一個就是因為在之前呢因為現在海空威脅越來越多然後我們當時有看到國防部內部 |
transcript.whisperx[275].start |
9249 |
transcript.whisperx[275].end |
9273.641 |
transcript.whisperx[275].text |
有這樣的一個討論就是說呢這個海空呢針對這些海型然後這飛行的加級啦那這個加級當時這個方案被提出來之後呢在各軍種之間好像也有一些矛盾啦就是說那為什麼他們家沒有這樣就是有這個討論但因為畢竟齁畢竟共軍老台現在這個狀況從五月到九月是增加了去年的數目是三百多次變一千多次是增加了三倍那麼多 |
transcript.whisperx[276].start |
9274.481 |
transcript.whisperx[276].end |
9289.506 |
transcript.whisperx[276].text |
若增加了三倍那麼多這件事情有沒有可能再被討論的空間那當然我知道其他的人可能會覺得說那為什麼是他們可以我們不行但我總覺得畢竟在現在的灰色地帶的硬儲之下這件事情是不是有一個考慮的空間跟委員報告今天就是說 |
transcript.whisperx[277].start |
9294.315 |
transcript.whisperx[277].end |
9311.183 |
transcript.whisperx[277].text |
各項的加級有很多種我們現在正在研議就是說志願役本身的一個加級的增加另外當然對於一些邊線比比較低的我們也要來增加 |
transcript.whisperx[278].start |
9312.103 |
transcript.whisperx[278].end |
9333.306 |
transcript.whisperx[278].text |
但是就如您所講的就是說它增加這個部分又會跟其他的大家都會做比較所以我現在正在已經開了很多次會議了我們不斷地在做一個通盤就是說大家都能夠取得一個平衡 |
transcript.whisperx[279].start |
9335.668 |
transcript.whisperx[279].end |
9350.016 |
transcript.whisperx[279].text |
有些家族他又可以兼領有些家族他是又不可以兼領所以這個相關的部分他都認為他的部隊辛苦也很重要那所以在這個家族之間的這個平衡的這個部分呢 |
transcript.whisperx[280].start |
9350.937 |
transcript.whisperx[280].end |
9365.093 |
transcript.whisperx[280].text |
我們現在正在做一個通盤的一個檢討我希望完了之後我們還要跟內部還要擴大來討論一下那大家都覺得沒有問題我們會提出來這樣子 |
transcript.whisperx[281].start |
9368.217 |
transcript.whisperx[281].end |
9385.482 |
transcript.whisperx[281].text |
因為我覺得總是到最後一定要有一個結論那因為不管怎樣就是現在大家就是比較辛苦那方案有各式各樣像我剛剛講的不管是休假的折算金的部分還是說單項單次的一些獎勵的部分又或者說像這種比較普遍性的佳績不是說三個都一定要全部都有 |
transcript.whisperx[282].start |
9385.842 |
transcript.whisperx[282].end |
9410.183 |
transcript.whisperx[282].text |
但是總是可以有一些方案被討論看看那還有一個很大的原因就是因為畢竟人事相關的這個費用他比較不會受到我們剛剛講的才化法的影響反而是軍購這些的那我是很希望至少我們現在因為才化法很可能會影響到我們的軍購啊我們的研發武器啊等等之類的但至少我們趁這個時候把人事的部分把它維持住我覺得這個也是提振一個世界的好方式 |
transcript.whisperx[283].start |
9410.803 |
transcript.whisperx[283].end |
9431.353 |
transcript.whisperx[283].text |
是 是所以我們會往這方面來努力好 謝謝部長 謝謝主席好 謝謝 謝謝沈博洋委員各位請回那我們現在來處理臨時提案那我跟在場委員這個臨時提案現在唸出來的文字待會我們會請國防部順過之後大家如果同意這文字順了沒有問題了我們就照案通過了先請宣讀臨時提案 |
transcript.whisperx[284].start |
9433.742 |
transcript.whisperx[284].end |
9452.492 |
transcript.whisperx[284].text |
臨時提案針對外交及國防委員會之各預算報告括弧、書面及電子為防止有洩漏之疑慮應將作業維持費中有關保密括弧額度部分不公開全數與機密報告時再行提供提案人委員王定宇、盧美玲、沈博洋 |
transcript.whisperx[285].start |
9453.272 |
transcript.whisperx[285].end |
9476.14 |
transcript.whisperx[285].text |
陳永康、黃仁、陳冠廷、洪森翰等委員宣讀完畢好那剛才國防部已經提出文字的修正我認為國防部的文字寫得比較精準各位聽一下我們國防部的文字調整為針對國防部主管預算編列與機密預算之軍事投資案其採購作業費因 |
transcript.whisperx[286].start |
9480.666 |
transcript.whisperx[286].end |
9500.236 |
transcript.whisperx[286].text |
均編列於公開預算為防止泄密疑慮應將作業經費改為機密預算編列以上文字各位沒有意見沒有意見的話我們照案通過好那接下來進行詢答的委員是陳冠廷委員 |
transcript.whisperx[287].start |
9516.203 |
transcript.whisperx[287].end |
9523.527 |
transcript.whisperx[287].text |
主席好,我們請部長。來,部長請。剛才那個提案是照國防部修正通過,我補這一句。是,陳偉好。 |
transcript.whisperx[288].start |
9539.329 |
transcript.whisperx[288].end |
9540.37 |
transcript.whisperx[288].text |
這個部分這個華為部的廉政署 |
transcript.whisperx[289].start |
9568.824 |
transcript.whisperx[289].end |
9572.216 |
transcript.whisperx[289].text |
那個那是不是請鄭鳳嬸來說明一下 |
transcript.whisperx[290].start |
9576.236 |
transcript.whisperx[290].end |
9600.93 |
transcript.whisperx[290].text |
主席委員好這部分法務部的廉政署已經在調查就相關人員的責任還有刑事責任正在處理中正在處理當中那想請教一下那國防部這邊是希望他們大概要處理多久有沒有一個實現因為其實這個是很快速就已經知道是由哪一位承辦人員法務部廉政署派出國防部的鄭豐氏的委任三等助理員 |
transcript.whisperx[291].start |
9606.153 |
transcript.whisperx[291].end |
9619.323 |
transcript.whisperx[291].text |
我至今獲得的訊息是他都已經約詢了那後續處理我想我們都尊重廉政署不過我想我們可以去了解一下他現在處理的一個進度這樣子 |
transcript.whisperx[292].start |
9620.203 |
transcript.whisperx[292].end |
9643.318 |
transcript.whisperx[292].text |
謝謝部長我認為這個部分就也不是尊重廉政署我們還是有一點態度啦因為畢竟是他們派員來這邊那相關的上次部長說沒有那麼機敏但是算是機敏的資訊那這個懲處的速度跟懲處的這個對象要盡快把它明確化就是究責這個事情還是要有我們不可以說承辦人員很辛苦什麼之類的不行就是有錯必須要有當責的機制不然 |
transcript.whisperx[293].start |
9645.239 |
transcript.whisperx[293].end |
9654.204 |
transcript.whisperx[293].text |
不然所有的機密的幾等這些就沒有任何的意義我們所做的任何的保密包含我們今天講的臨時的提案就沒有任何意義就是必須要有一個究責的態度好不好 |
transcript.whisperx[294].start |
9655.075 |
transcript.whisperx[294].end |
9682.994 |
transcript.whisperx[294].text |
所以我們才會請這個外部的單位來進行這樣子那第二個問題就是說因為這個事情連再加上之前有海軍的海巡外交等相關的機密招海那中華電信他說要調查離清外洩的原因那這個事情到現在我看已經有九個月八九個月了不知道最新的狀況是什麼部長如果有掌握到的話或者是請其他的這個國防部裡面的其他的這個海軍相關的 |
transcript.whisperx[295].start |
9685.015 |
transcript.whisperx[295].end |
9705.481 |
transcript.whisperx[295].text |
您是說海巡外交部的海軍海巡外交部等相關機密諮詢遭害中華電信這個地方他說會這個釐清外洩原因就是一些公文包含我們外交部國軍的這些機密文件在案碗上面公開販售這個之前我們好像是在今年年中的時候也有諮詢不知道相關的進度在哪裡 |
transcript.whisperx[296].start |
9706.86 |
transcript.whisperx[296].end |
9734.471 |
transcript.whisperx[296].text |
報表員我是海軍參謀長那當初的因為他整個的部分是不涉及機密的部分他只是當初的契約的履約的一個相關資料在條列裡面但是我們基金省裡面並沒有涉及到機密的資訊沒有機密的資訊所以這個也就只是公文外洩而已那因為沒有機密的資訊所以公文外洩是透過中華電信他因為把我們一些相關的公文書的資料併在他的裡面但是在裡面只是一些招標的文件但是不涉及 |
transcript.whisperx[297].start |
9734.531 |
transcript.whisperx[297].end |
9753.634 |
transcript.whisperx[297].text |
可是他好像成立了一個我還在國安會的時候我國安會的時候我了解好像是中華電信成立了一個群組吧好像是這樣子然後他有一些文件放在上面那經過查我們海軍部應該沒有涉及機密的部分應該是這樣子 |
transcript.whisperx[298].start |
9755.233 |
transcript.whisperx[298].end |
9756.515 |
transcript.whisperx[298].text |
我今天講這些東西的原因就是說我還是認為這個人因的 |
transcript.whisperx[299].start |
9771.576 |
transcript.whisperx[299].end |
9790.068 |
transcript.whisperx[299].text |
管理是非常重要那從這一個我們上次看到聯政署派出國防部的這個委任三兩年就有我想知道說這些揭秘的成語到底是國防部決定還是由法務部聯政署來決定還是由國安局決定還是由調查局決定一個人的揭秘成績跟他定時要更新他的這個揭秘的成績 |
transcript.whisperx[300].start |
9790.828 |
transcript.whisperx[300].end |
9809.041 |
transcript.whisperx[300].text |
我之前跟外交部來談的時候外交部說他們希望說未來我們的這個概念是希望是可以由國安局來做統一的去做人事上面的確保可是這個各種不同的說法蠻多的我想請教一下國防部的意見是怎麼樣以後我們 |
transcript.whisperx[301].start |
9810.342 |
transcript.whisperx[301].end |
9837.93 |
transcript.whisperx[301].text |
其他派駐到我們這邊的國防部這邊的這些承辦人員的話那他的機密、揭密成績是要由誰來審核我們由征戰局的保防安全總隊那就由這個征戰局的保防安全總隊或做這個人員安全的一個查核然後就他現在揭密的這個等級我們現在就由這個安全查核他的情況來核定他的揭密等級那詳細部分是不是請征戰局說明一下是 |
transcript.whisperx[302].start |
9839.626 |
transcript.whisperx[302].end |
9859.275 |
transcript.whisperx[302].text |
委員好我們現在呢正在建立就是我們所有揭秘人員的一個機制將來就是要經過安全查核合格之後才派任相關的機密現在正在建立這個機制了已經在執行原來就有對我們現在強化我們現在只是說 |
transcript.whisperx[303].start |
9864.057 |
transcript.whisperx[303].end |
9884.829 |
transcript.whisperx[303].text |
我希望他們要求就是說按照美方類似美方這樣的一個機制不是以他的階級而是以他接密的這個程度來進行一個更強化的一個安全的查核的程度來審定他能夠接觸機密的等級這樣子這個安全查核的程度大家是需要 |
transcript.whisperx[304].start |
9886.027 |
transcript.whisperx[304].end |
9907.165 |
transcript.whisperx[304].text |
去爭取到的為什麼我要這麼講就是說他你必須要主動或者是被動的讓他查核他的他過去他接觸到的風險他接觸到的密等跟他的這個身家背景包含說他的這個出入一些敏感國家的這些次數來去做風險上面來調整來去因應他的這個機密成績我想美方是這樣子去做的所以他是定期 |
transcript.whisperx[305].start |
9907.765 |
transcript.whisperx[305].end |
9926.974 |
transcript.whisperx[305].text |
要去更新的那我們看到有一些離職的人員之前我這邊有一些相關的資訊很多有些離職的人員他會帶著一些資料走那甚至是這就跟駭客無關這跟你在建立幾百個防火牆都無關的他是以人因為導向的那其實這一個說法我想 |
transcript.whisperx[306].start |
9927.994 |
transcript.whisperx[306].end |
9948.064 |
transcript.whisperx[306].text |
在揭秘層級或者是你要定期更新你的揭秘層級這件事情我認為還是要一個統一跨部門跨部會的一個機制我甚至認為說應該是有聯席會議就是說它不是只是國防部因為外交部是要用國防部的系統嗎還是就是它是一個跨部會的因為外交部外交部的人員他揭秘的時候我們也看到很多外交部相關的公文在流失嘛 |
transcript.whisperx[307].start |
9948.504 |
transcript.whisperx[307].end |
9977.257 |
transcript.whisperx[307].text |
那他的階密層級又是由誰定的那這個當然是現在不是國防部的事情但是總是要有一個部門來去統整不要說讓這些政府的這些通常要聯席會議的時候或者是通常他們要聯合辦公的時候聯合處理一件重要的事情比如說出訪的時候那彼此之間的密等沒有統一沒有協調那我想這是我們要擔心的事情那接下來我們談一下國防預算的這個提升那部長我想最近不管是在金融時報剛剛幾位委員也有問或者是 |
transcript.whisperx[308].start |
9978.417 |
transcript.whisperx[308].end |
9990.471 |
transcript.whisperx[308].text |
各個不同的智庫媒體都有提到說希望台灣的國防預算提到5%那提到國防預算的提高國防預算的提高代表說其他預算有可能必須要去做會相應的要調整 |
transcript.whisperx[309].start |
9991.462 |
transcript.whisperx[309].end |
10017.66 |
transcript.whisperx[309].text |
但是我還是要強調說我們國防預算的提高重點是說我們要具備什麼樣的能力我們要買什麼樣的裝備我們要做什麼樣的訓練那金融時報有說什麼F35等等各種不同的這種武器系統我想請教部長我們此時此刻不用跟我講具體的裝備名稱最需要的是什麼樣的方向是後勤要確保我們的這個 readiness我們的這個各種武器設備他是做好準備的還是什麼 |
transcript.whisperx[310].start |
10018.632 |
transcript.whisperx[310].end |
10044.752 |
transcript.whisperx[310].text |
如果我們講這個軍頭這一塊軍事投資這一塊我們重點在建構不對稱戰力提升防衛的防衛韌性這一塊大家比較少注意但事實上這一塊也很重要強化後備戰力跟灰色地帶的應出我們每次要面對的灰色地帶應出對我們進行的消耗我們也要來致重點在這個四個項目來進行我們必要的這個自主的產製或者是籌購對外籌購 |
transcript.whisperx[311].start |
10046.573 |
transcript.whisperx[311].end |
10074.915 |
transcript.whisperx[311].text |
所以我還是希望說在未來的美國的新政府開始之後那剛才已經包含王定永委員都有提到這個灰色地帶的這個硬處裡面我們的軍艦或者是說我們的海巡這跟國防部的業務無關那在租界上面的可能性這也是我們可以直接思考因為必須要面臨的是2027嘛現在的2025、25年嘛有些東西我們現在製造或許來不及那包含一些美方的國會議員都有提到相關的可能性我想這也是可以納入我們未來預算的考量就是說不是直接 |
transcript.whisperx[312].start |
10075.815 |
transcript.whisperx[312].end |
10095.99 |
transcript.whisperx[312].text |
新製造或許太慢的話那盡量我們不用最新的我們要最適合現在的作戰形態的好謝謝謝謝陳委員指教部長各位請回接下來進行訓導委員徐小新委員謝謝主席我們有請顧部長來部長請 |
transcript.whisperx[313].start |
10105.376 |
transcript.whisperx[313].end |
10118.467 |
transcript.whisperx[313].text |
社區委員部長好其實首先先跟您談一下上一次在跟您在質詢的過程當中有提到這個勞動權益的部分那我在10月30號未還委員會上面有特別向勞動部長何部長請教就是國防部 |
transcript.whisperx[314].start |
10122.53 |
transcript.whisperx[314].end |
10138.758 |
transcript.whisperx[314].text |
委員會在五一勞動節上班的情況沒有提供加班費有沒有違反勞動基準法的疑慮部長說可能是有的所以他有提到說會找您瞭解此事保障約聘僱的權益 |
transcript.whisperx[315].start |
10139.258 |
transcript.whisperx[315].end |
10146.982 |
transcript.whisperx[315].text |
所以我們也希望國防部在這個部分能夠盡快修正因為我想勞動部針對這部分講的應該是比較準確的就約聘僱他假設他選擇在5月1號他上班的話那因為他是勞工所以他就應該要有勞工的權益那這個再麻煩我們國防部再去跟這個勞動部談一下具體的細節 |
transcript.whisperx[316].start |
10161.59 |
transcript.whisperx[316].end |
10174.654 |
transcript.whisperx[316].text |
但不需要說明因為事後我們再談因為我們今天主要要談的議題不是這個主要今天部長我要跟您論的是說我們國軍人員在性騷擾處理跟性侵害預防規定裡面有什麼樣的一個保護措施 |
transcript.whisperx[317].start |
10178.729 |
transcript.whisperx[317].end |
10179.029 |
transcript.whisperx[317].text |
國防部主管 |
transcript.whisperx[318].start |
10193.729 |
transcript.whisperx[318].end |
10210.715 |
transcript.whisperx[318].text |
有特別的規定說單位在接受性騷擾申訴案件之後要在24小時之內完成以下措施包含立刻隔離當事人被申訴人應該要暫時調離單位到不同營區保護被害人不受到二度傷害這是我們的相關規定 |
transcript.whisperx[319].start |
10211.815 |
transcript.whisperx[319].end |
10227.124 |
transcript.whisperx[319].text |
但是呢我最近呢接到一個陳情是關於我們的女性的事關他們被這個性騷的情況我們有經過受害者的同意那提供給大家看一下他有兩個部分第一個是簡訊的騷擾簡訊的騷擾呢等一下我看一下圖他就說 |
transcript.whisperx[320].start |
10236.46 |
transcript.whisperx[320].end |
10253.169 |
transcript.whisperx[320].text |
他在簡訊騷擾的部分呢他就有那個圖嗎你要不要放一下那個圖反正呢他的在簡訊騷擾的部分呢他就有寫說不然吃掉你也行他就在講說吃午餐的部分 |
transcript.whisperx[321].start |
10253.729 |
transcript.whisperx[321].end |
10268.507 |
transcript.whisperx[321].text |
然後呢對方就不太想回答他然後他就說不是你親手做的那對方被害人說是我買的然後呢這個市都他就說也不是親口味然後對方就給了一個很尷尬的圖片這個很明顯的叫做簡訊的騷擾 |
transcript.whisperx[322].start |
10273.453 |
transcript.whisperx[322].end |
10276.316 |
transcript.whisperx[322].text |
二、審查114年度中央政府總預算案附屬單位預算關於國防部主管非營業基 |
transcript.whisperx[323].start |
10288.37 |
transcript.whisperx[323].end |
10308.908 |
transcript.whisperx[323].text |
的那個老闆就是市都對你有意思之外整體生活過得不算差難怪死活都不給我親被害者說本來就不行市都說為什麼不行被害者說為什麼可以你哪一個身份可以市都說因為我喜歡你啊這個答案你滿意嗎市都說想不到原因了吧認命吧 |
transcript.whisperx[324].start |
10309.668 |
transcript.whisperx[324].end |
10316.094 |
transcript.whisperx[324].text |
那這個文字上面是很明顯的他有兩個部分一個是簡訊的騷擾一個是言語的騷擾兩個都是很明確的有性騷擾的問題那我們看一下國軍人員性騷案件的懲罰建議表 |
transcript.whisperx[325].start |
10325.242 |
transcript.whisperx[325].end |
10339.747 |
transcript.whisperx[325].text |
那這個部分呢言語偷拍、猥褻、簡訊騷擾、肢體騷擾跟言語肢體這個部分它都分成不同的違規態樣所以在以這個案件來說它其實已經違反了言語騷擾是一個然後簡訊騷擾是一個這個案子它應該是已經違反了兩種的態樣好那我們接下來看 |
transcript.whisperx[326].start |
10347.363 |
transcript.whisperx[326].end |
10368.399 |
transcript.whisperx[326].text |
這個呢受害者他經過了什麼他先提出了性騷擾的申訴那在言語騷擾跟簡訊騷擾的部分呢性評會都認為說這是兩個不同的事件他受到了言語騷擾以及簡訊騷擾都是事實那程度是屬於中度的那他們提的建議是性評會提的建議是要 |
transcript.whisperx[327].start |
10370.18 |
transcript.whisperx[327].end |
10393.007 |
transcript.whisperx[327].text |
各大過一次那我們海軍在處理這件事情的時候呢照理來說他是同一個案子因為是同一個被害人跟同一個加害人但是他就是一案兩大過會直接退太處那這種情況他是可以領退五金但是沒有退縫但我們的海軍的做法呢是把它分成兩個行為各給一大過 |
transcript.whisperx[328].start |
10395.228 |
transcript.whisperx[328].end |
10422.583 |
transcript.whisperx[328].text |
那呢這樣的結果會變成是今年度的烤雞餅上明年才召開不釋服的人評會所以呢就等於說他今年一整年他還是可以繼續在軍中裡面那這就會讓我們的這個受害者覺得非常的恐懼尤其是他明明是同一個受害人跟同一個加害人那應該是同一個案子裡面的兩件事情那我想要問一下為什麼不是憑他一案兩大過 |
transcript.whisperx[329].start |
10425.769 |
transcript.whisperx[329].end |
10443.595 |
transcript.whisperx[329].text |
委員好我是海軍參謀長那這個案子我們也高度的關切我們也要特別保護這個當事人這個我們都做的因為這是一個性評會他是一個有獨立他有召開一個委員會那這些還有會考量的因素可能是有第一個因為他這個是從 |
transcript.whisperx[330].start |
10444.295 |
transcript.whisperx[330].end |
10458.273 |
transcript.whisperx[330].text |
我問的是你們海軍做的決定嗎你不要先講那邊人家姓平慧已經有相關的這個說明了我問的是海軍你明明可以選擇一案兩大過直接太除為什麼你要把它分成兩個行為各一大過讓他再繼續在這個 |
transcript.whisperx[331].start |
10461.016 |
transcript.whisperx[331].end |
10464.179 |
transcript.whisperx[331].text |
所以以後不同時間然後去騷擾只要不是同時的他都用這樣子來做嗎 |
transcript.whisperx[332].start |
10484.256 |
transcript.whisperx[332].end |
10504.743 |
transcript.whisperx[332].text |
實際上他慶平會他就是告訴你他程度是中國你可以各大過一次嘛那你一案兩大過是兩行為各一大過是你海軍的裁決嘛我再給部長看一下後續的喔不只這樣子而已喔這是二度的傷害來我們看下一張這個被害人提出申訴是在7月9號的時候我們剛剛有給大家看我們國軍的處理時間應該要在24小時之內隔離對方你們10月16號才把這個市都調到指揮部 |
transcript.whisperx[333].start |
10513.166 |
transcript.whisperx[333].end |
10528.355 |
transcript.whisperx[333].text |
那就已經違反相關規定啦然後再來呢這個被調動人員的職務呢還是他的上級單位所以你們等到10月30號下午3點的時候才告訴這個被害人說要把他調動職務那我要問的問題喔為什麼你們是調動被害人的職務不是調動加害人的職務呢 |
transcript.whisperx[334].start |
10534.524 |
transcript.whisperx[334].end |
10535.806 |
transcript.whisperx[334].text |
你們有沒有去跟他講過說想要做這件事情嗎? |
transcript.whisperx[335].start |
10552.964 |
transcript.whisperx[335].end |
10574.277 |
transcript.whisperx[335].text |
如果不是今天後來我們來告訴你們說有這個事情很嚴重你們就是有人跟被害人講說我想要嘗試調動你的職務但導致了被害人覺得我是被害人為什麼我的職務要被調動那所以有了這樣子的一個澄清之後那才免除了這件事情那我的意思是說你不覺得中間有需要檢討的地方嗎 |
transcript.whisperx[336].start |
10575.222 |
transcript.whisperx[336].end |
10580.546 |
transcript.whisperx[336].text |
是 法院有針對有些這些實際上對於保護當事人有不夠睜眼的部分我會來做檢討好那因為呢你可以看到吼第一個錯誤就是第一個問題在於我剛剛講的一案兩大過或是兩案一大過這個部分嘛第二個問題那主席讓我統整一下第二個問題在於違反24小時的規定第三個問題是你們裡面有人去找了這個被害人說想要嘗試調動他的職務 |
transcript.whisperx[337].start |
10600.86 |
transcript.whisperx[337].end |
10624.361 |
transcript.whisperx[337].text |
這三件事情裡面顯然有違規的問題我想要問部長能不能將這件事情送政風做調查委員能不能回到您剛剛那個信評會的那一章裡面信評會的那一個部分他到底是建議什麼他建議就是他的程度是中度然後呢建議各大過一次所以他的建議也是各一大過 |
transcript.whisperx[338].start |
10625.522 |
transcript.whisperx[338].end |
10651.173 |
transcript.whisperx[338].text |
但是你們這個後面所謂的各一大過你是把它做成這個兩個不同的行為各一大過那它會導致於說你明年才你會讓他待一整年而且他可以選擇他直接退伍他就跟這件事情完全沒有關係我跟委員報告就是說我的第一點就是說他們的最後跟他計過的方式到底跟信民會的決議是不是一致這一 |
transcript.whisperx[339].start |
10652.273 |
transcript.whisperx[339].end |
10669.241 |
transcript.whisperx[339].text |
這一點因為剛剛看起來好像兩個是一致的這是第一點第二點因為對這個案子本身我想我下去我們會再仔細的瞭解一下這樣子再跟委員做報告那最後我們還有一個訴求就是說呢因為這個人他可以在案件上未定案之前直接退伍 |
transcript.whisperx[340].start |
10670.441 |
transcript.whisperx[340].end |
10693.694 |
transcript.whisperx[340].text |
所以我希望說我們在國軍人員性騷擾處理及性侵害預防實施規定裡面能夠增訂涉性平案件的申訴人在未定案之前不得退伍希望你們可以回去思考一下否則以這個案例來說這個人他立刻退伍之後這件事情就已經跟他沒有關係了那我想這個是非常對被害人非常不公平的情況那請部長來評估好不好謝謝因為時間不夠的關係我們就另外再談 |
transcript.whisperx[341].start |
10697.836 |
transcript.whisperx[341].end |
10698.016 |
transcript.whisperx[341].text |
請顧部長來部長請 |
transcript.whisperx[342].start |
10732.717 |
transcript.whisperx[342].end |
10733.077 |
transcript.whisperx[342].text |
含秘密會議 |
transcript.whisperx[343].start |
10748.442 |
transcript.whisperx[343].end |
10775.771 |
transcript.whisperx[343].text |
那據我所知看起來這個翁小英委的提案可能會因為他連署人數不足不會提出可是我今天早上我們看了這個國民黨團尤其是他們書記長對這個事情的回應他說這個我們的退退退退退出席將領到對岸去唱對方的國歌這是基於禮貌 |
transcript.whisperx[344].start |
10777.864 |
transcript.whisperx[344].end |
10801.524 |
transcript.whisperx[344].text |
部長你同不同意我想如果是就是說認定已經認定比如說前面有一個個案張又俠的那個案子他我們已經做成一個他起立聆聽這個中國國歌這樣的一個行為我們已經依照違反兩岸人民關係條例9條13的規定給他 |
transcript.whisperx[345].start |
10803.621 |
transcript.whisperx[345].end |
10806.644 |
transcript.whisperx[345].text |
五年停止零售業兌換了百分之七十五........... |
transcript.whisperx[346].start |
10830.27 |
transcript.whisperx[346].end |
10848.245 |
transcript.whisperx[346].text |
沒有我想我們的處分已經表達了我們國防部的還有其他各部會因為我們這是經過審查會通過的這個審查會不是只有國防部也包括了像陸委會還有包括國安局等等其他各單位所以是大家的有權機關的也也參 |
transcript.whisperx[347].start |
10849.125 |
transcript.whisperx[347].end |
10873.999 |
transcript.whisperx[347].text |
就是對於兩岸關係條例這個有權解釋機關的看法那國防部也同意這樣的一個看法所以我想應該是已經不是一個單純的基於禮貌的這樣的一個行為好我希望國防部可以對這項這樣子的事件我們的立場要表達夠清楚我想這邊沒有什麼任何理由我們跑到對面對岸去然後在一個真正沒有思想自由的地方說 |
transcript.whisperx[348].start |
10875.78 |
transcript.whisperx[348].end |
10884.053 |
transcript.whisperx[348].text |
唱了國歌反而你處罰他還叫做思想自由的禁錮我想這是絕大無法接受的事情那我接下來想要跟部長討論我想請政戰局 |
transcript.whisperx[349].start |
10893.791 |
transcript.whisperx[349].end |
10913.227 |
transcript.whisperx[349].text |
部長跟局長上個會期其實在4月的時候我當時有質詢當然很多委員都關心到國軍心腹人員人力嚴重不足的問題我們看到一位心腹人員需要關照到405位的官兵甚至有心腹證照的人員要照顧2318位的官兵平均下來 |
transcript.whisperx[350].start |
10918.976 |
transcript.whisperx[350].end |
10947.472 |
transcript.whisperx[350].text |
那現在大家都知道說這個心理的健康其實是國軍戰力非常非常重要的基礎很重要那當時其實我們也建議說要求說應該要培育心腹的專業人才尤其是要藉助民間的力量跟民間的資源那後來政戰局有回覆我確實有回覆我說他們有這個往年有所謂連接民間福島資源的這個計畫我想請問大家經過了半年以後目前就 |
transcript.whisperx[351].start |
10949.133 |
transcript.whisperx[351].end |
10976.188 |
transcript.whisperx[351].text |
這個我們的國防部目前還有什麼經濟的作為這部分是委員好徵案局局長報告就是在這近期我們已經規劃了國軍心理健康照護方案那這個方案原來就是我們鏈結民間心腹資源的部分對那我們呢會這個增加預算來服務照顧我們的官兵那另外增加多少預算 |
transcript.whisperx[352].start |
10976.788 |
transcript.whisperx[352].end |
11001.065 |
transcript.whisperx[352].text |
我們明年是編列兩千零一十六萬那另外我們也會增設正照的新府人力區分兩年兩個階段來增加四十四位的新府人力還有就是我們在軍醫局在今年的七月一號已經將心理健康納入年度體檢裡面 |
transcript.whisperx[353].start |
11002.726 |
transcript.whisperx[353].end |
11024.657 |
transcript.whisperx[353].text |
所以像我們去執行年度體檢包含我在內都會有一關就是心理健康的一個評估的這個項目來增進我們官兵的心理健康據說我有看到資料包括預算書上面資料看到你們相比於今年然後去年明年的預算的編列好像是今年的10倍是 |
transcript.whisperx[354].start |
11025.177 |
transcript.whisperx[354].end |
11044.89 |
transcript.whisperx[354].text |
那在這個心理健康上面的預算尤其是這個委辦費上面從一百七十幾萬變成一千七百四十幾萬當然這在你們整個國防部的預算裡面佔的比例還是非常低可是就這個增加的幅度當然我們可以肯定可是我其實是想要問一下局長 |
transcript.whisperx[355].start |
11045.931 |
transcript.whisperx[355].end |
11069.656 |
transcript.whisperx[355].text |
主要我手上有一份這個這其實是20應該2022年之前這個監察院的一個調查的報告針對你們陸軍其實一位黃姓中衛的步兵他的上吊自殺的事件的一個調查的報告我不知道你們有沒有看這份調查的報告這上面其實裡面也提到了很多關於我們在新府機制上面的問題包括他其實談到 |
transcript.whisperx[356].start |
11071.696 |
transcript.whisperx[356].end |
11074.598 |
transcript.whisperx[356].text |
二、審查114年度中央政府總預算案附屬單位預算關於國防部主管非營業基 |
transcript.whisperx[357].start |
11089.725 |
transcript.whisperx[357].end |
11090.685 |
transcript.whisperx[357].text |
實質提供給我們同袍的 |
transcript.whisperx[358].start |
11105.75 |
transcript.whisperx[358].end |
11133.164 |
transcript.whisperx[358].text |
工作部分很可能就會在工作時間上面被排擠那也提到包括我也看到了我們在審計部之前的報告提到其實我們在過去五年國軍智商的案件中其實有80%的官兵並沒有在現在的三級防處機制裡面被發現局長你覺得針對這些這都是我們幾個單位出來的報告你們有沒有提出什麼改善的做法 |
transcript.whisperx[359].start |
11134.229 |
transcript.whisperx[359].end |
11139.769 |
transcript.whisperx[359].text |
是跟委員報告在這個部分就是我們 |
transcript.whisperx[360].start |
11141.024 |
transcript.whisperx[360].end |
11166.876 |
transcript.whisperx[360].text |
每年在官兵組就是聯保長跟我們的新府官在第一線初級防處的部分我們每年篩略出來需要輔導的個案有兩三千位的個案那這些個案都是經過長期的輔導之後狀況穩定我現在講的事情是說我們審計部的報告裡面說過去智商事件智商事件有80% |
transcript.whisperx[361].start |
11168.937 |
transcript.whisperx[361].end |
11171.139 |
transcript.whisperx[361].text |
這是我們國人欠缺主動求助的一個觀念 |
transcript.whisperx[362].start |
11196.999 |
transcript.whisperx[362].end |
11223.878 |
transcript.whisperx[362].text |
所以你是要怪給國人嗎?是我們改進因為這個部分我們也希望能夠盡量去發掘就想跟布朗我想表達第一個我們對於尤其在明年的預算裡面你們在新府的資源包括委辦費的這個增加的部分我們當然支持可是看起來不是只是預算增加就可以的事情我覺得這幾份報告裡面我其實全部都詳細讀過了 |
transcript.whisperx[363].start |
11225.939 |
transcript.whisperx[363].end |
11242.485 |
transcript.whisperx[363].text |
這讀過裏面有很多其實還是有機制性上面的問題我們目前在這些機制上面的問題這不是只有預算的問題機制上面的問題我自己是希望我可以提供這份報告的內容我們可不可以請國防部至少有個我可以給兩個月的時間你們研議一下在這些機制上面 |
transcript.whisperx[364].start |
11243.385 |
transcript.whisperx[364].end |
11265.192 |
transcript.whisperx[364].text |
能夠有什麼精進的空間包括裡面講到說我們這些表面形式文化變成這些辛苦人員其實已經很少了每天他都在不斷地是趕這些形式上面的表單排擠到他們實質上面可以做的協助助人的工作這倒看起來是有很大可以改善的空間是不是可以給兩個月的時間然後有一份報告讓我們知道國防部接下來在這些機制性上的問題 |
transcript.whisperx[365].start |
11266.232 |
transcript.whisperx[365].end |
11275.771 |
transcript.whisperx[365].text |
要怎麼改善來對應你們的預算的增加不然你們預算即便增加假如實質的部分落實沒辦法做好也還是白搭好不好這部分部長跟局長可以嗎 |
transcript.whisperx[366].start |
11279.863 |
transcript.whisperx[366].end |
11302.361 |
transcript.whisperx[366].text |
部長可以嗎是我想主要是要怎麼樣子來主動這個發掘這個主動來篩離這個有異常徵喉的這個部分要如何能夠真正的做到那我想他剛剛局長要表達的應該不是在貴賊任何主要是就是在於是說我們應該要 |
transcript.whisperx[367].start |
11305.744 |
transcript.whisperx[367].end |
11330.705 |
transcript.whisperx[367].text |
將這一些作為要把它要實質啦就是說去掉您剛剛也講到了不要做過多的這個形式的是這部分部長上任以後我覺得做了很多這方面的事情我們都可以肯定啊對那我現在也打算我們要增加這個新埔的鎮罩的人員那也要給他們一定的加急然後來主動來因為有涉及到缺乏專業鎮罩這個部分 |
transcript.whisperx[368].start |
11332.046 |
transcript.whisperx[368].end |
11359.2 |
transcript.whisperx[368].text |
那有關剛剛提到的那些表面的形式文化這個下來之後我想我會跟政財局我們再來好好地研議兩個月的時間好不好給國防部的這邊來檢討謝謝那個局長今天是不是身體不舒服對那個精神不集中他不是說要怪罪社會啦你那個事回答得太快了好身體健安多體諒好請坐好下一個進行詢答的委員 |
transcript.whisperx[369].start |
11360.976 |
transcript.whisperx[369].end |
11362.597 |
transcript.whisperx[369].text |
作為國防部的部長我想請問一下您守護的國家叫什麼名字? |
transcript.whisperx[370].start |
11390.748 |
transcript.whisperx[370].end |
11409.758 |
transcript.whisperx[370].text |
中華民國是我是中華民國的立法委員我們都是中華民國派對於有其他委員個別所提案的事件我想到目前為止在野黨所了解都還在連署階段連署會不會通過都還不知道我想有許多的立法委員對於這一案 |
transcript.whisperx[371].start |
11410.478 |
transcript.whisperx[371].end |
11435.42 |
transcript.whisperx[371].text |
我們都表達高度的關切也內部都在討論我想我們立法委員全力守護的就是中華民國我是中華民國的立法委員我唱的是中華民國的國歌我拿的是中華民國的國旗我們都是中華民國派所以我們想接下來問許多有關於國軍如何守護我們中華民國最重要的幾個問題從上個會期我就一直在討論面對現在少子化 |
transcript.whisperx[372].start |
11436.081 |
transcript.whisperx[372].end |
11449.195 |
transcript.whisperx[372].text |
面對現在各行各業都缺工缺人才的一個狀況之下我們還看到了所謂的軍購案有國際媒體報導4800多億當然你有出面澄清我想跟美國購買軍備我們當然支持 |
transcript.whisperx[373].start |
11452.498 |
transcript.whisperx[373].end |
11468.184 |
transcript.whisperx[373].text |
但是買了武器誰要來操作就算新進的武器有人操作了跟原有的單位人要從哪裡去補上這是我們一直都很關鍵的一個問題到底我們的國軍現在的問題應該還是以人力的上人力上面的一個問題應該來做補足我想從6月6號 |
transcript.whisperx[374].start |
11472.105 |
transcript.whisperx[374].end |
11484.558 |
transcript.whisperx[374].text |
你剛上任沒有多久同樣在這個位置本席就有向部長談到國軍薪資結構過低的問題部長你說會去找主計人事單位聊一聊請問聊完以後狀況是什麼有沒有機會調整 |
transcript.whisperx[375].start |
11486.389 |
transcript.whisperx[375].end |
11506.028 |
transcript.whisperx[375].text |
我們現在就如剛寫到委員所垂詢的我們已經在進行一個就是最後收容的階段的一個一個研議因為是因為國軍的這個加級的這個部分相當的多那我們現在當然是集中要考量到說 |
transcript.whisperx[376].start |
11507.549 |
transcript.whisperx[376].end |
11534.034 |
transcript.whisperx[376].text |
一個志願役的這個加級要不要提高那提高到多少那另外就是說邊線比比較低的這部分的戰鬥部隊這個部分的加級要提高當然要全部去做一個總盤檢討然後還要有其他的很多其他各類的加級的一個平衡性所以你有去做調查有在收攏這相關的資料了對有沒有可以先透露大概會提升多少薪資 |
transcript.whisperx[377].start |
11535.254 |
transcript.whisperx[377].end |
11558.514 |
transcript.whisperx[377].text |
我想還沒有定案之前我想應該是不因為我們好沒關係我有一個數據想跟部長來提供一下就我們去做一個片面的了解我們去收集這樣子相關情資台灣二等兵的薪資啊差日本二等兵兩千元一等兵差了四千元台灣的下市薪資呢差新加坡的下市八千元台灣市館長的薪資呢 |
transcript.whisperx[378].start |
11559.975 |
transcript.whisperx[378].end |
11581.913 |
transcript.whisperx[378].text |
差新加坡的士官長2.2萬元台灣少校的薪資比南韓的少校差了1.4萬元部長將軍級的軍官我們就不比了啦光比這些基層部隊的官士兵我們台灣現役軍人對比鄰近國家待遇偏低但台灣面對的戰爭風險比其他國家高當然你要回答我各個國家 |
transcript.whisperx[379].start |
11582.493 |
transcript.whisperx[379].end |
11611.043 |
transcript.whisperx[379].text |
生活水平、待遇還有他們所謂的物價不同我都知道但是我要表達的就是現在現役軍人對於民間企業的薪資也偏低我們拿什麼誘因來留人總不能老是一個愛國心吧部長弟兄也要養家照顧弟兄的薪資、待遇是我上個會期跟這個會期最重要的一個重點我會持續追蹤下去我想現場我們對這些部分的訴求部長你可以給我一個意義嗎 |
transcript.whisperx[380].start |
11614.26 |
transcript.whisperx[380].end |
11638.846 |
transcript.whisperx[380].text |
我想就這個部分剛剛跟委員報告了就是說我們已經正在我事實上已經開過大概五成的會議我們現在正在最後是一個收容的階段我們最後會提出一個比較具體的一個方案因為確實在現在來看的話這個應該是中市以下的吧是不是應該都還不及這個國人的這個 |
transcript.whisperx[381].start |
11642.776 |
transcript.whisperx[381].end |
11662.572 |
transcript.whisperx[381].text |
緊張性性質的一個中位數所以就這個部分基層的官兵就這個部分的招募還有他的流營率這個部分也多少跟這個有關那我們當然要一方面提升國軍的地位當然這個部分的待遇的增加我想我們也要適度的來調整那所以你認同要調整對吧對我認同要調整好謝謝 |
transcript.whisperx[382].start |
11665.074 |
transcript.whisperx[382].end |
11665.975 |
transcript.whisperx[382].text |
接下來進行詢答委員是賴思寶委員 |
transcript.whisperx[383].start |
11695.114 |
transcript.whisperx[383].end |
11699.696 |
transcript.whisperx[383].text |
謝謝主席 各位先進有請國防部的顧部長來 部長請Sir 賴委員好你好 這個我的時間很少希望你就簡單我問很簡單的問題你就簡單的回答這個關於有大家關心的啦就是大家關心的說 |
transcript.whisperx[384].start |
11725.595 |
transcript.whisperx[384].end |
11738.565 |
transcript.whisperx[384].text |
路透社、國際媒體說臺灣要跟美國賣將近5000億的軍購你前面都有說明我知道了我就問你一個F35有沒有可能 |
transcript.whisperx[385].start |
11739.994 |
transcript.whisperx[385].end |
11762.688 |
transcript.whisperx[385].text |
各位委員報告我想所有可能對於我們這個平時應對灰色地帶跟暫時這個拒止這個共軍犯台的這樣子的一個必要的這個相關的武器都會在我們的考量之內但是具體的這些哪一些個別的武器裝備我想我們會循這個台美的交流機制來跟美方進行溝通 |
transcript.whisperx[386].start |
11763.829 |
transcript.whisperx[386].end |
11774.99 |
transcript.whisperx[386].text |
這個F-35幾乎是不可能嘛因為他這個要同盟國才有而且要出他的研發經費我們也沒有出那這個基本上我就不知道啦 |
transcript.whisperx[387].start |
11776.215 |
transcript.whisperx[387].end |
11803.381 |
transcript.whisperx[387].text |
所以我們不會對個別的裝備來現在來加以有任何的評論這個話當然是我們的官方放出來的嘛這個一定是我們的這個高層或者你們國防部或者總統府那邊國安會那邊放出的消息啊這個結果放出來結果人家覺得說而且放的也是太太這個外行了齁我想這個川普啊等一下因為我時間有限了我就問你 |
transcript.whisperx[388].start |
11804.511 |
transcript.whisperx[388].end |
11814.6 |
transcript.whisperx[388].text |
川普說台灣要付保護費啊到底要付多少他才會滿意啊你能不能回答一下台電從軍購以及晶片到底是多少你心裡有沒有補 |
transcript.whisperx[389].start |
11815.803 |
transcript.whisperx[389].end |
11840.166 |
transcript.whisperx[389].text |
我想我之前都已經回答了我們跟台美之間的軍事交流就非常的綿密而且已經制度性了這個制度已經是一個制度化的一個軍事交流的一個機制讓我們任何的這個如果要向美軍購這個相關的這個武器裝備或者甚至訓練等等我們都是循這個機制來提出去的 |
transcript.whisperx[390].start |
11840.606 |
transcript.whisperx[390].end |
11855.457 |
transcript.whisperx[390].text |
那所以也要符合事實上我們雙方都認同這個是一個符合作戰的需要請問你啊 請問你啊川普上台以後我們的國防經費是不是會每年提高就問你這個 |
transcript.whisperx[391].start |
11856.653 |
transcript.whisperx[391].end |
11879.921 |
transcript.whisperx[391].text |
我們國防部的立場我剛剛已經說明了我們現在近三年都平均成長大概百分之八左右所以我們預期應該希望國防預算還是能夠穩健的成長就是穩健每年百分之八成長我沒有敢說我們一定會成長多少百分之八不夠啦如果按照川普的講法百分之八怎麼夠 |
transcript.whisperx[392].start |
11881.42 |
transcript.whisperx[392].end |
11900.93 |
transcript.whisperx[392].text |
起碼要20%以上每年要成長20%好我現在給你一些的觀念概念川普是生意人你同意吧生意人出身但是美台還是有一個共同利益我知道啦但是生意人出身來請問你瞭解川普嗎我想我不適宜在這裡對這個好就可以引用一下全世界公認 |
transcript.whisperx[393].start |
11910.899 |
transcript.whisperx[393].end |
11934.455 |
transcript.whisperx[393].text |
很瞭解川普的人一個叫安倍晉三已經過去了他講過川普重視數字而不是價值台灣現在我們的政府強調什麼民主同盟在川普來講不重視他要逼他就說要嘛就達成協議否則拉倒我講這些話都是安倍晉三講的那我就告訴你 |
transcript.whisperx[394].start |
11936.958 |
transcript.whisperx[394].end |
11962.09 |
transcript.whisperx[394].text |
這個川普一定要求我們基尼部隊買更多的武器問題在於是不是我們要的而這個數字呢我都覺得因為我們現在請問你知道我們現在每年賺美國多少錢你知道嗎貿易順差您說台灣跟美國的貿易順差你知道多少嗎一年我現在手上沒有這個數字最少500億美金有人講600億有人講700億甚至於2023有人講800億 |
transcript.whisperx[395].start |
11966.515 |
transcript.whisperx[395].end |
11986.43 |
transcript.whisperx[395].text |
這個數字是值得特別是國防部長你要認真去看川普心目中的就是生意人嘛你爆穿這麼多錢我要把你武器把你賺回來會不會全部的全部拿走就多少錢呢兩兆喔所以跟他的百分之十就很接近啦百分之十怎麼來的從這個數字那裡得 |
transcript.whisperx[396].start |
11987.49 |
transcript.whisperx[396].end |
12001.635 |
transcript.whisperx[396].text |
這是我的這樣子解讀啦我告訴告訴你看一看安倍晉三怎麼形容川普他就是看數字不是我們政府一天到晚講哇投門價值民主價值可以呢盡量講但是要做生意啦你掙到這麼多錢我相信美國絕對不希望台海發生戰爭因為這不符合美國的利益 |
transcript.whisperx[397].start |
12016.817 |
transcript.whisperx[397].end |
12038.113 |
transcript.whisperx[397].text |
阿我們付到多錢怎麼會有戰爭呢那所以第二個接下來我們自我防衛能力的提升的需要的情況之下我們會跟美國購買何於何於能夠提升自我防衛能力的這樣的武器最後一點一個小點上一次我問的那個無人機有限無限請你給我們一個報告可以嗎部長 |
transcript.whisperx[398].start |
12040.572 |
transcript.whisperx[398].end |
12053.62 |
transcript.whisperx[398].text |
有限無限無人機打無人機無人機有的有限有的無限怎麼樣營業這裡上一次部長不在把資料給我資料給我謝謝賴世寶委員那個是反專甲彈啦無人機用沒什麼的不會沒300公尺 |
transcript.whisperx[399].start |
12073.072 |
transcript.whisperx[399].end |
12101.27 |
transcript.whisperx[399].text |
您說的是托市2B吧好謝謝賴委員我們接下來進行詢答委員黃國昌委員謝謝主席麻煩有請部長來部長請Sir 黃委員好 |
transcript.whisperx[400].start |
12102.043 |
transcript.whisperx[400].end |
12123.838 |
transcript.whisperx[400].text |
部長美國總統當選的川普他宣布了說他會任命退役的陸軍軍官當然絕大多數的媒體大家報導都是他是福斯電視台的主持人但我覺得他比較重要的背景是他其實長期待在軍隊當中 |
transcript.whisperx[401].start |
12125.519 |
transcript.whisperx[401].end |
12136.486 |
transcript.whisperx[401].text |
右左邊列出來的是他在服役的期間當中曾經得過的勳章、獎項待過阿富汗待過伊拉克也待過古巴 |
transcript.whisperx[402].start |
12138.008 |
transcript.whisperx[402].end |
12154.478 |
transcript.whisperx[402].text |
當然在這樣子的一個軍事背景的背後早上我也看到了部長說對於他出任國防部部長是樂觀其成我們尊重美國的民主程序我們當然也會尊重美國的總統準總統對於他未來國防部長 |
transcript.whisperx[403].start |
12159.973 |
transcript.whisperx[403].end |
12185.294 |
transcript.whisperx[403].text |
認命的權利當然從台灣的角度來講我們會比較關心的事情是說對台灣所會造成的衝擊所會造成的影響以及台灣跟美國未來在合作上面是不是會因此產生什麼樣子的變化部長對於這位即將要出任美國國防部部長的Hexes有基本的認識嗎? |
transcript.whisperx[404].start |
12187.05 |
transcript.whisperx[404].end |
12213.618 |
transcript.whisperx[404].text |
我的理解是他還相當的年輕嘛是1980年出生的那有念過這個然後後來到2013年去念哈佛那從軍的經歷對他的當然影響應該是很大那川普在介紹他當然是強調是他非常的重視美國優先這樣子您知道他為什麼不想要待在軍中嗎 |
transcript.whisperx[405].start |
12215.828 |
transcript.whisperx[405].end |
12242.316 |
transcript.whisperx[405].text |
這個我沒有掌握我跟部長說明一下這個是11月8號的時候他接受一個YouTuber訪問的時候那訪問的內容從他的觀點來講從我們的術語來看他對中國絕對是一個硬派在他眼中看起來中國正在打造一個可以擊敗美國的軍隊 |
transcript.whisperx[406].start |
12246.031 |
transcript.whisperx[406].end |
12266.779 |
transcript.whisperx[406].text |
當然過去這幾年他可以說是非常的out spoken對於美國的軍隊在過去這幾年當然我必須要先強調我們不宜介入美國共和黨跟民主黨他們之間政黨的競爭但是不同的政策立場的確會影響到台灣 |
transcript.whisperx[407].start |
12268.2 |
transcript.whisperx[407].end |
12278.418 |
transcript.whisperx[407].text |
在這個專訪旁邊放了一本書那個書我把它放大長成這個樣子叫做《The World of Warriors》 |
transcript.whisperx[408].start |
12280.287 |
transcript.whisperx[408].end |
12297.985 |
transcript.whisperx[408].text |
他大概描述了他的軍中服役的過程那以及他所看到對於民主黨的政府可能在對於軍隊讓這一些在服役的軍人沒有得到必要的尊重沒有得到必要的尊重 |
transcript.whisperx[409].start |
12298.866 |
transcript.whisperx[409].end |
12322.715 |
transcript.whisperx[409].text |
而這樣的心情對於他離開軍隊產生非常大的影響所以某個程度上面來講他的確是川普在實踐美國優先政策的時候去任命他當國防部部長這樣子的一個背景這樣子的一個政策立場老實說令人並不意外但是看了 |
transcript.whisperx[410].start |
12324.662 |
transcript.whisperx[410].end |
12332.773 |
transcript.whisperx[410].text |
相關對於他這本書所描述心情的報導其實我覺得對我們台灣某個程度上有一點啟發那個啟發是說我們必須要讓在我們軍隊當中冒險犯難 |
transcript.whisperx[411].start |
12340.864 |
transcript.whisperx[411].end |
12352.756 |
transcript.whisperx[411].text |
為國家出生入職的軍人我們一定整個社會要給他們支持跟尊重這樣子的話才會讓我們這一些國軍的弟兄願意繼續為這個國家來奮戰 |
transcript.whisperx[412].start |
12355.879 |
transcript.whisperx[412].end |
12375.533 |
transcript.whisperx[412].text |
那我相信這樣子的立場會繼續的延續到會繼續的延續到他上任國防部部長以後因為對中鷹派這樣子的立場一定會去影響到我們跟美國在軍事合作上面政策的調整那最後一件事情主席我可以再問兩個問題嗎謝謝就兩個問題非常快的問題好謝謝 |
transcript.whisperx[413].start |
12383.254 |
transcript.whisperx[413].end |
12405.243 |
transcript.whisperx[413].text |
這個就直接牽涉到了因為financial Times對台灣很熟悉的Catherine Hill放出這樣子的消息部長你有沒有掌握這個消息是誰放的我不清楚但不會是我們的政府人員吧我瞭解應該不會是我們國防部但是是不是其他政府人員你沒有辦法掌握 |
transcript.whisperx[414].start |
12406.863 |
transcript.whisperx[414].end |
12420.341 |
transcript.whisperx[414].text |
我沒有辦法回答幫國防部以外的人回答我老實講就是說這種嚴肅的事情我認為希望我希望不是我們政府部門放的 |
transcript.whisperx[415].start |
12421.122 |
transcript.whisperx[415].end |
12437.871 |
transcript.whisperx[415].text |
因為對整件事情到底是有幫助還是會造成障礙其實還很難說當然總統府在第一時間說目前沒有新一個階段的討論所以總統府的發言算是否認嗎部長您的理解 |
transcript.whisperx[416].start |
12438.997 |
transcript.whisperx[416].end |
12463.485 |
transcript.whisperx[416].text |
我覺得總統的發言跟我之前的回答是一致的也就是說我們會循台美既有的這一個綿密的制度性的交流的機制來提出我們所要籌購的這一個項目那F35在清單上嗎我沒有辦法對特定的這個任何武器的裝備做下一回答因為我們對任何的這一個個別的武器的裝備我們都會先跟美方進行溝通 |
transcript.whisperx[417].start |
12464.878 |
transcript.whisperx[417].end |
12472.937 |
transcript.whisperx[417].text |
因為我看到總統府這個發言以後我有點驚訝因為去年在國會的時候其實已經有立委問過了 |
transcript.whisperx[418].start |
12474.384 |
transcript.whisperx[418].end |
12497.823 |
transcript.whisperx[418].text |
當然前一任的國防部部長回答的比較率直就是我們曾經有提過採購的需求但是美方沒有同意這個是在立法院公報上面記載的內容就你接任國防部部長以後美國就這件事情的態度有改變嗎還是維持去年的前國防部部長在這個委員會裡面回答立委問題的時候沒有同意 |
transcript.whisperx[419].start |
12498.558 |
transcript.whisperx[419].end |
12504.061 |
transcript.whisperx[419].text |
那個時間的關係我最後只講一件事情強化我國的國防自主防衛能力我相信不分黨派的委員 |
transcript.whisperx[420].start |
12528.433 |
transcript.whisperx[420].end |
12555.025 |
transcript.whisperx[420].text |
大家都支持那只不過在進行相關事件的時候部長您謹慎的態度我基本上是認同的那因此我也希望這一次金融態勢所出現的那個報導不是我們政府人員放話因為我覺得這樣對整件事到底是阻力還是助力恐怕會是一個很大的問號好謝謝謝謝黃國昌委員部長請回接下來進行詢答委員洪孟凱委員 |
transcript.whisperx[421].start |
12563.649 |
transcript.whisperx[421].end |
12590.211 |
transcript.whisperx[421].text |
主席謝謝麻煩請顧部長部長好部長延續我們今天一整天的討論其實這一個150億美元的一個軍售大家都關心那你剛剛一直回答一件事情就是說應該是依照臺美綿密的交流以及過去既有的不管是採購的流程採購的機制對不對 |
transcript.whisperx[422].start |
12592.386 |
transcript.whisperx[422].end |
12603.683 |
transcript.whisperx[422].text |
那如果說真的如同您這樣講的話那國內用三大報平面報導頭版頭來處理這件事情會不會就覺得突兀跟奇怪 |
transcript.whisperx[423].start |
12604.918 |
transcript.whisperx[423].end |
12625.02 |
transcript.whisperx[423].text |
對我並不知道這個financial time它的消息來源是怎麼樣部長我先跟你討論的更是一個比較核心的問題啊因為第一國內會大家引發這樣關注其實financial time我想會去看的人不多但是為什麼會突然間大家大量的關注是因為隔一天之後三大報頭版頭處理這個新聞 |
transcript.whisperx[424].start |
12628.547 |
transcript.whisperx[424].end |
12649.365 |
transcript.whisperx[424].text |
我請教三大報頭版頭處理這個新聞如果說只有單純一個報紙可能他是獨家但是三大報全部都用頭版頭處理這個新聞的時候代表是他們某種程度上第一是有權威的消息來源不然的話就是他們可能有經過查證或是經過求證認為說這個是消息是屬實的程度高所以他們會去處理嘛那國防部在 |
transcript.whisperx[425].start |
12652.532 |
transcript.whisperx[425].end |
12679.471 |
transcript.whisperx[425].text |
三大報頭版頭出來的前一天我們相關對於媒體的公關或說相關的這些回應有沒有做出什麼樣的回應我想因為我們對於這樣子不是我們現在所提出來的據我的了解我們沒有這樣子的一個清單提出的情況之下我想我們國防部的立法所以部長您也是看到三大報昨天頭版頭之後你才知道有這件事 |
transcript.whisperx[426].start |
12680.393 |
transcript.whisperx[426].end |
12704.193 |
transcript.whisperx[426].text |
我至少我們國防部沒有提出這樣的一個清單是啊所以我的意思是說你沒有提出這個清單然後結果你身為一個國防部部長你是在昨天上午早上起床的時候看到三大報頭版頭你才知道我們有提出這個清單然後你才去問然後才去追源頭然後發覺說到今天發覺國防部上到下都沒有講過這樣的事情 |
transcript.whisperx[427].start |
12705.552 |
transcript.whisperx[427].end |
12732.958 |
transcript.whisperx[427].text |
我們因為FINANCIAL TIME的意思就是說我們很不合理你會不會覺得現階段有提出去但我們現在已經也曾經說明我想總統也曾經說明了我們現階段並沒有提出這樣子的一個清單給美國或者是未來的川普政府嘛那我一直在強調就是我們循既有的機制會跟美方就任何採購的項目會進行事先的溝通部長這些我都尊重而且我們其實不分黨派委員大家都講嘛 |
transcript.whisperx[428].start |
12733.618 |
transcript.whisperx[428].end |
12759.705 |
transcript.whisperx[428].text |
能夠獲得我國要的國防武器設備先進的我們絕對都支持但是現在的問題點在於是說如果如同你在國會殿堂裡面所答詢的這樣的狀況的話那我覺得這會產生一個很大的資訊落差一個是國內的三大報我想國內三大報他們不會拿他們的媒體的公信力去做 |
transcript.whisperx[429].start |
12761.289 |
transcript.whisperx[429].end |
12770.284 |
transcript.whisperx[429].text |
去做考驗而且是用頭版頭你曾幾何時在最近的新聞裡面看到三大報用頭版頭處理同樣的新聞 |
transcript.whisperx[430].start |
12772.389 |
transcript.whisperx[430].end |
12793.642 |
transcript.whisperx[430].text |
除了總統就職演說這種公開的確定的以外好像沒有啊如果它只是屬於一個小大的消息屬於一個就是沒有被經過證實的消息的話不可能非常不符合邏輯跟常理嘛那再者也有人講是說如果這樣的話會不會我們太早把底牌掀出來未來對於我們跟美國的一個軍購採購的時候會不會 |
transcript.whisperx[431].start |
12796.288 |
transcript.whisperx[431].end |
12809.073 |
transcript.whisperx[431].text |
一百五十億就變成是最基本的一個門檻他可能就認為是說我們至少就一百五十億以上的軍備國防預算要來購買相關武器會不會增加我們之後談判的一些難度 |
transcript.whisperx[432].start |
12810.598 |
transcript.whisperx[432].end |
12830.9 |
transcript.whisperx[432].text |
我的回答其實還是一樣的就是說因為我們要採購任何的項目還是要先跟美方進行溝通啊所以我們不會所以現在部長您如果說連你是負責國防部的部長都是看到報導你才知道這樣消息那這樣資訊的落差到底你覺得說嚴不嚴重啊 |
transcript.whisperx[433].start |
12832.508 |
transcript.whisperx[433].end |
12859.137 |
transcript.whisperx[433].text |
因為我也相信我也相信您所講的喔到目前我相信您所講的是我們都有台美交流綿密的交流機制管道我也認為過去即便今天美國政府共和黨民主黨要共和黨要政黨輪替但我相信中華民國跟美國的一個交流方面也不因為政黨輪替而有所變化嘛我們的制度應該是照走嘛是是所以部長您可以理解本期今天問出來這樣的問題到底 |
transcript.whisperx[434].start |
12862.422 |
transcript.whisperx[434].end |
12884.993 |
transcript.whisperx[434].text |
核心點跟細節您能夠掌握嗎?我沒有辦法進一步評論您剛剛提到了這個所謂相關的報導我想你可能有話也不好說啦感謝稍微一分鐘啦本席最近有另外一個部分是因為很多委員都講到是說待遇的問題那其中我們鄉親也有接受到這個教召 |
transcript.whisperx[435].start |
12885.66 |
transcript.whisperx[435].end |
12902.588 |
transcript.whisperx[435].text |
那現在我不知道說部長有沒有去關心這個火石的部分但是很多的鄉親回來抱怨叫招的火石啊真的不好那我也去查了一下你在今年有因為說叫招的一個提升的這個頻率所以說我們有提高了 |
transcript.whisperx[436].start |
12903.592 |
transcript.whisperx[436].end |
12907.754 |
transcript.whisperx[436].text |
二、審查114年度中央政府總預算案附屬單位預算關於國防部主管非營業基 |
transcript.whisperx[437].start |
12919.961 |
transcript.whisperx[437].end |
12939.799 |
transcript.whisperx[437].text |
所以也難怪乎我們有鄉親回來之後就講是說他去接受教召真的伙食不好請再要回答好不好部長能不能來了解一下還是我們有沒有什麼樣管道因為97塊我說這個現在一顆便當可能都不只97塊了結果你97塊是要負責三餐那即便是大鍋飯的部分你可能也沒有辦法煮準備太好 |
transcript.whisperx[438].start |
12940.529 |
transcript.whisperx[438].end |
12941.309 |
transcript.whisperx[438].text |
我們從本島的每個月有從418一直到這個南沙有調到一千多 |
transcript.whisperx[439].start |
12966.988 |
transcript.whisperx[439].end |
12994.289 |
transcript.whisperx[439].text |
火石費、教召的部分火石費這個部分教召會跟我們的部隊一起調匯後給本席因為本席查到的是你一個月多少錢平均下來一天97塊好不好那你現在的部分就是我們要求的是說至少你要比照相關辦理或者是你的費用應該要提升好不好接下來進行詢答委員是鄭天才委員 |
transcript.whisperx[440].start |
13009.444 |
transcript.whisperx[440].end |
13031.034 |
transcript.whisperx[440].text |
主席會委員有請部長來部長請部長今年7月18號川普要台灣付保護費而且特別提到要防衛沿在地球另一端的小島實質上很困難 |
transcript.whisperx[441].start |
13032.954 |
transcript.whisperx[441].end |
13040.764 |
transcript.whisperx[441].text |
我們的川普當選總統這個蔡英文執政的期間就花了這個7552.16億的一個台幣來購買軍購 |
transcript.whisperx[442].start |
13049.293 |
transcript.whisperx[442].end |
13074.408 |
transcript.whisperx[442].text |
我們看今年的國防部的預算這個編列了4760億4000多萬比113年度增加415億6000多萬這個有成長這個有它的需要性很重要的這個上次我也跟部長提了因為時間的關係沒有辦法好好談這個我也提了很多次 |
transcript.whisperx[443].start |
13075.467 |
transcript.whisperx[443].end |
13076.528 |
transcript.whisperx[443].text |
自願役的士兵........................................................................ |
transcript.whisperx[444].start |
13092.777 |
transcript.whisperx[444].end |
13094.959 |
transcript.whisperx[444].text |
臺灣勞工薪資基本工資2萬7千多2024一到四月份勞工平均薪資4萬6千多勞動部 |
transcript.whisperx[445].start |
13108.803 |
transcript.whisperx[445].end |
13130.706 |
transcript.whisperx[445].text |
特別表示部長特別表示這個臺灣薪資的中位數是4.6萬元三分之二約3.1萬所以3.1萬是低薪我們是3萬6比低薪多一些些但是部長你要了解所有的軍人沒有自由 |
transcript.whisperx[446].start |
13131.84 |
transcript.whisperx[446].end |
13149.697 |
transcript.whisperx[446].text |
都要在軍中跟勞工要這樣比他的各方面的勞苦跟他的自由真的是差很多所以一定要務實的增加國軍志願役的薪資什麼時候可以提高 |
transcript.whisperx[447].start |
13150.951 |
transcript.whisperx[447].end |
13171.422 |
transcript.whisperx[447].text |
我們現在正在積極的研議我想我們會很快的提出我們一個方案然後再跟行政院相關的單位來做協調一定要積極這個我已經提了很多次你現在要增加也要到明年的預算我剛剛跟其他委員的推詢的時候也已經提過我們正在 |
transcript.whisperx[448].start |
13172.563 |
transcript.whisperx[448].end |
13174.364 |
transcript.whisperx[448].text |
新資的部分的調高我們國防部本身是贊成的 |
transcript.whisperx[449].start |
13193.8 |
transcript.whisperx[449].end |
13219.633 |
transcript.whisperx[449].text |
好,要積極地協調行政院好,下一個議題這個是自航機場自航機場我提了很多次自航機場我們的鄉親的我們的部落部長可能不知道我們的部落有嘉陸蘭部落有這個富岡部落有石山部落高和山部落 |
transcript.whisperx[450].start |
13220.59 |
transcript.whisperx[450].end |
13244.196 |
transcript.whisperx[450].text |
這些部落本來都在自航機場裏面部長在自航機場裏面因為要蓋自航機場我們就遷移到旁邊遷移到這個自航機場的旁邊遷移過去之後自航空軍基地有關這個噪音的補助噪音的補助 |
transcript.whisperx[451].start |
13246.533 |
transcript.whisperx[451].end |
13273.612 |
transcript.whisperx[451].text |
他就用輪的從富豐里要輪到一直這些里要輪流由輪流補助而且補助什麼呢是這個相關的這些冷氣機這些設備這是過去的一個做法所以要等30年才能輪到在這樣一個情形之下冷氣機大家都已經壞掉了當然就自己買了所以就完全無法受益 |
transcript.whisperx[452].start |
13274.52 |
transcript.whisperx[452].end |
13299.948 |
transcript.whisperx[452].text |
本席包括我們召委他也有提案共同的我們共同的在110年1月20號修正通過把噪音管制法有關軍用航空的這個機場能夠用跟民航的一樣可以用補償補償就是用現金的現金來補助 |
transcript.whisperx[453].start |
13302.501 |
transcript.whisperx[453].end |
13329.85 |
transcript.whisperx[453].text |
這裏面特別授權要定這個辦法國防部在111年1月1號公布施行這個這個辦法軍用機場噪音防治補償的經費但是問題出在哪裡呢到現在雖然施行了我們這些自航機場周邊的這些最鄰近的部落他還是沒有辦法拿到這些現金原因就是因為 |
transcript.whisperx[454].start |
13332.678 |
transcript.whisperx[454].end |
13358.738 |
transcript.whisperx[454].text |
這個12條的第一條的第一計劃第12條的第一計劃軍用機場管理單位以本辦法施行或下一個輪次等於是要在一個里一個里在輪啊不是要輪到何時啊所以這個就有問題了這樣的法規啊部長你是寫法律的這樣的法規有問題所以到現在為止啊他們還是領不到 |
transcript.whisperx[455].start |
13359.69 |
transcript.whisperx[455].end |
13382.501 |
transcript.whisperx[455].text |
也要等幾十幾年以後才有機會要不要修法要修修這個辦法修這個辦法好快阿委員我是志源是市長跟委員報告因為我們這個我們那個補償規定實施之後它其實有兩種選擇一種可以選擇以人為主的現金補償另外一個就是以戶為主的設施補助好那我我簡單問是這三個部落 |
transcript.whisperx[456].start |
13385.39 |
transcript.whisperx[456].end |
13412.636 |
transcript.whisperx[456].text |
至航機場周邊的三個部落最靠近的噪音最大的什麼時候可以開始領到現金是因為他是以那個三個集市來做補償我那邊剛有兩個基地一個有現金一個沒有現金有處理的方法我覺得方法要跟政經常委員講一下他那個是地方政府要有一個認定就是以補償的公平性一個輪次找完之後會到下一個輪次再做討論就是要再 |
transcript.whisperx[457].start |
13415.217 |
transcript.whisperx[457].end |
13434.91 |
transcript.whisperx[457].text |
上次一樣一個禮一個禮輪到下一次有沒有看到施行後下一個輪次部長這個部分你好好瞭解鄭委員這個案子請國防部把辦法定出來我跟鄭天台委員一起關心好不好是謝謝不是要修要修這個棒要修這個棒謝謝那請鄭天台委員請回各位請回謝謝來我們接下來進行詢答委員是楊瓊英委員謝謝 |
transcript.whisperx[458].start |
13447.705 |
transcript.whisperx[458].end |
13448.806 |
transcript.whisperx[458].text |
謝謝主席。邀請部長。來,部長請。市長、議員、委員好。 |
transcript.whisperx[459].start |
13457.722 |
transcript.whisperx[459].end |
13485.651 |
transcript.whisperx[459].text |
是部長好明年度中央政府總預算我們的預算達到6470億那麼其中均是投資預算的部分幅度最大大概佔了GDP的2.45%當然國防預算是依照我們考慮防衛的作戰需求跟國家的財政狀況去年底國防安全研究院 |
transcript.whisperx[460].start |
13486.351 |
transcript.whisperx[460].end |
13500.641 |
transcript.whisperx[460].text |
他進行了一個民調民意調查他說根據民調結果有將近六成贊成未來我們的國防預算提高到GDP的3%請教國防部長達到GDP的3%是我們政府的目標嗎 |
transcript.whisperx[461].start |
13509.137 |
transcript.whisperx[461].end |
13528.859 |
transcript.whisperx[461].text |
我現在沒有辦法明確的回答是說我們是不是能夠達到3%但是我們當然會希望是你們的目標嗎國防的經費還是能夠持續穩健的增加當然還要整體的財政的裕度對所以這是國防部的智庫所提出那請問這3%是不是我們的目標 |
transcript.whisperx[462].start |
13530.168 |
transcript.whisperx[462].end |
13532.793 |
transcript.whisperx[462].text |
跟委員報告齁如果你讓我能夠詳細一點講的話因為114年度我們還有904億的特別預算那115年會降到610 |
transcript.whisperx[463].start |
13543.447 |
transcript.whisperx[463].end |
13564.406 |
transcript.whisperx[463].text |
六百九十二億那到了一百一十六年的時候這個特別預算沒有了之後呢那如果沒有再編列特別預設的話那麼我們要再增加國防預算的時候年度的預算會大幅的增加那這個時候我們現在已經在在年這個大概十五點二左右那如果年度預算再增加的話 |
transcript.whisperx[464].start |
13564.926 |
transcript.whisperx[464].end |
13583.583 |
transcript.whisperx[464].text |
可能會增加到相當的弧度所以我剛剛有提出來就是說在116年開始我們如果不排擠這個其他的預算還要持續穩健的增加國防預算的話要可能不能夠完全排除說另外提出一個我們認為 |
transcript.whisperx[465].start |
13585.304 |
transcript.whisperx[465].end |
13607.779 |
transcript.whisperx[465].text |
週延的一個特別預算的可能性那這個時候再希望大院能夠支持但是它一定是要符合我們自我防衛能力提升的一個需要來建置這樣子好換句話說是持續的在增長我們的目標大概是如此不管你的來源116年這個特別預算終止之後你還是希望仍舊有一個 |
transcript.whisperx[466].start |
13609.409 |
transcript.whisperx[466].end |
13631.075 |
transcript.whisperx[466].text |
持續穩健成長的一個目標這樣子所以本席要請教這個歐布萊恩在6月份的時候他也表示他希望是要提升到5%所以本席要請教剛剛你回答得非常的清楚也就是我們是穩健性的以防衛為基準的來增加 |
transcript.whisperx[467].start |
13631.795 |
transcript.whisperx[467].end |
13650.205 |
transcript.whisperx[467].text |
那換句話說116年的特別預算到了之後那你也希望未來還是有特別預算的方式來運作所以要請教川普在選舉的時候他提出了要我們叫保護會所以你穩健的成長是不是就是這個保護會的概念 |
transcript.whisperx[468].start |
13653.15 |
transcript.whisperx[468].end |
13677.575 |
transcript.whisperx[468].text |
我沒有辦法幫這個我們即將就任的川普先生來回答這個合會的保護會但是我想我們就我們的立場就是說我們會有多元的籌購來提升自我防衛能力的這個管道來那這個也當然包括像美國從事軍事採購 |
transcript.whisperx[469].start |
13679.366 |
transcript.whisperx[469].end |
13702.312 |
transcript.whisperx[469].text |
那充斥軍事採購的這些必要的武器裝備甚至訓練等等都要符合我們作戰的實際需求嗎我只能夠這樣講那我們呢過去我覺得到未來也是如此我們都是根據既有的軍事交流機制然後我們會探尋美方的意願我們會探尋那美方覺得OK那才能夠進行採購 |
transcript.whisperx[470].start |
13704.533 |
transcript.whisperx[470].end |
13719.585 |
transcript.whisperx[470].text |
總歸一句話就是以防衛為基準點到目前回答的方向是如此對然後還要跟美國政府來進行溝通當然所以因此本期要請教來90年以後我們出生的義南在113年開始我們開始回復這個徵集 |
transcript.whisperx[471].start |
13724.929 |
transcript.whisperx[471].end |
13731.032 |
transcript.whisperx[471].text |
長輩兵役一年所以本席要請教110年我們最高是16.5萬人到112、111你減了將近5000多人各別在這樣的情況之下我們創了新低113年6月底我們降到15.2萬人所以請教部長這也是107年來最低的請教部長 |
transcript.whisperx[472].start |
13753.183 |
transcript.whisperx[472].end |
13769.719 |
transcript.whisperx[472].text |
面對自願役人數持續地一直遞減的情況(你要怎麼改善(好請再要回答我想分兩點第一點因為我們的現在的預算顏額今年之所以大家一直講說降五千多個事實上並不是真的說一下子 |
transcript.whisperx[473].start |
13771.899 |
transcript.whisperx[473].end |
13792.805 |
transcript.whisperx[473].text |
是因為過去在預算顏額的部分變得比較高一點所以我們現在務實的編列所以看起來預算顏額但是第二點我們必須承認實際的這個顏額數呢確實是有降低的一個狀況那所以剛剛才會提到就自願意的這個部分我們要調高他的待遇這是我們現在努力的一個方向什麼時候可以告訴社會大眾 |
transcript.whisperx[474].start |
13794.726 |
transcript.whisperx[474].end |
13806.358 |
transcript.whisperx[474].text |
呃 我 我想 呃 我們會盡快的就 因為提高待遇這是大家的共識嘛你什麼時候可以告訴 告訴社會大眾呃 我 我想我們會盡快啦應該應該 多久時間 你的盡快是多久你給一個時間點嘛 |
transcript.whisperx[475].start |
13808.669 |
transcript.whisperx[475].end |
13826.04 |
transcript.whisperx[475].text |
我想如果能夠快一點的話我們應該是最近這一個月以內應該是可以一個月內告訴社會大眾包括另外教召的部分很多人到服務處來講一個月內是方向方向一個月內一天內97塊預算還沒有編來教召一天97塊那怎麼辦 |
transcript.whisperx[476].start |
13830.558 |
transcript.whisperx[476].end |
13830.758 |
transcript.whisperx[476].text |
請說明一下 |
transcript.whisperx[477].start |
13848.305 |
transcript.whisperx[477].end |
13875.914 |
transcript.whisperx[477].text |
就是每日本島98元明年調高到115(明年調高到115年已經編列預算在114年的預算有98調高到115(每日好謝謝謝謝楊俊逸為的關心謝謝剛才那個要講清楚我看聽起來你們是要從中衛宿去思考調整的方向那方向出來因為還沒有編列預算對對可能說下個月就有了 |
transcript.whisperx[478].start |
13877.457 |
transcript.whisperx[478].end |
13883.913 |
transcript.whisperx[478].text |
我們只是提出一個擬議的方向而已這個還要行政院所以我們只是提出一個方向而已 |
transcript.whisperx[479].start |
13894.539 |
transcript.whisperx[479].end |
13911.768 |
transcript.whisperx[479].text |
臨時民委員臨時民委員臨時民委員不在高金素美委員高金素美委員高金素美委員不在鄭正前委員鄭正前委員鄭正前委員不在陳培宇委員陳培宇委員陳培宇委員不在傅坤祺委員傅坤祺委員傅坤祺委員不在 |
transcript.whisperx[480].start |
13912.688 |
transcript.whisperx[480].end |
13935.887 |
transcript.whisperx[480].text |
今日已登記質詢委員除不在場外均已發言完畢報告及詢答結束本日會議有林益君委員黃仁委員陳培宇委員提出書面質詢請列入記錄並刊登公報請相關機關已書面於兩周內答覆委員口頭質詢未及答覆部分 |
transcript.whisperx[481].start |
13936.427 |
transcript.whisperx[481].end |
13961.336 |
transcript.whisperx[481].text |
或要求補充資料者亦請相關單位已書面於兩週內提供..與委員另約定期限者從其鎖定以上如有涉及機密部分請確實依相關保密規定辦理114年度中央政府總預算案關於國防部主管收支公開及機密部分..不含國家安全局部分.. |
transcript.whisperx[482].start |
13963.177 |
transcript.whisperx[482].end |
13985.126 |
transcript.whisperx[482].text |
附屬單位預算暨三項作業基金及一項資本計劃基金案本日完成報告及詢答11月20號下午5點以前截止收案12月9號進行預算審查本日會議到此結束大家辛苦了散會 |
IVOD_ID |
16259 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16259 |
日期 |
2024-11-13 |
會議資料.會議代碼 |
委員會-11-2-35-12 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
12 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
35 |
會議資料.標題 |
第11屆第2會期外交及國防委員會第12次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-11-13T08:30:15+08:00 |
結束時間 |
2024-11-13T12:23:00+08:00 |
支援功能[0] |
ai-transcript |