video_url |
https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/7a505bc1fba11f2d42a67f5a6c5408b76425655b8120616f78081dad70f87c46553f5076fb06e9cd5ea18f28b6918d91.mp4/playlist.m3u8 |
會議時間 |
2024-12-16T09:00:00+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22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僑務委員會主管收支公開及機密部分。(詢答及處理)
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金:(僅詢答)
(一)莊守耕公益基金。
(二)受理捐贈僑生獎助學金及艱困地區僑民學校師資輔助金基金。
12月16日、18日及19日(三天一次會)) |
委員名稱 |
完整會議 |
影片長度 |
16020 |
委員發言時間 |
08:30:00 - 12:57:00 |
transcript.pyannote[0].speaker |
SPEAKER_08 |
transcript.pyannote[0].start |
1872.19409375 |
transcript.pyannote[0].end |
1875.14721875 |
transcript.pyannote[1].speaker |
SPEAKER_07 |
transcript.pyannote[1].start |
1877.27346875 |
transcript.pyannote[1].end |
1881.28971875 |
transcript.pyannote[2].speaker |
SPEAKER_13 |
transcript.pyannote[2].start |
1882.58909375 |
transcript.pyannote[2].end |
1896.39284375 |
transcript.pyannote[3].speaker |
SPEAKER_13 |
transcript.pyannote[3].start |
1896.79784375 |
transcript.pyannote[3].end |
1898.51909375 |
transcript.pyannote[4].speaker |
SPEAKER_13 |
transcript.pyannote[4].start |
1898.90721875 |
transcript.pyannote[4].end |
1900.83096875 |
transcript.pyannote[5].speaker |
SPEAKER_13 |
transcript.pyannote[5].start |
1900.96596875 |
transcript.pyannote[5].end |
1902.82221875 |
transcript.pyannote[6].speaker |
SPEAKER_13 |
transcript.pyannote[6].start |
1903.04159375 |
transcript.pyannote[6].end |
1905.99471875 |
transcript.pyannote[7].speaker |
SPEAKER_13 |
transcript.pyannote[7].start |
1906.19721875 |
transcript.pyannote[7].end |
1908.45846875 |
transcript.pyannote[8].speaker |
SPEAKER_13 |
transcript.pyannote[8].start |
1908.71159375 |
transcript.pyannote[8].end |
1911.37784375 |
transcript.pyannote[9].speaker |
SPEAKER_13 |
transcript.pyannote[9].start |
1911.61409375 |
transcript.pyannote[9].end |
1912.87971875 |
transcript.pyannote[10].speaker |
SPEAKER_13 |
transcript.pyannote[10].start |
1913.68971875 |
transcript.pyannote[10].end |
1916.18721875 |
transcript.pyannote[11].speaker |
SPEAKER_13 |
transcript.pyannote[11].start |
1916.64284375 |
transcript.pyannote[11].end |
1918.66784375 |
transcript.pyannote[12].speaker |
SPEAKER_13 |
transcript.pyannote[12].start |
1919.29221875 |
transcript.pyannote[12].end |
1920.13596875 |
transcript.pyannote[13].speaker |
SPEAKER_13 |
transcript.pyannote[13].start |
1920.15284375 |
transcript.pyannote[13].end |
1922.51534375 |
transcript.pyannote[14].speaker |
SPEAKER_13 |
transcript.pyannote[14].start |
1923.00471875 |
transcript.pyannote[14].end |
1927.00409375 |
transcript.pyannote[15].speaker |
SPEAKER_13 |
transcript.pyannote[15].start |
1927.44284375 |
transcript.pyannote[15].end |
1930.37909375 |
transcript.pyannote[16].speaker |
SPEAKER_13 |
transcript.pyannote[16].start |
1930.76721875 |
transcript.pyannote[16].end |
1931.35784375 |
transcript.pyannote[17].speaker |
SPEAKER_13 |
transcript.pyannote[17].start |
1931.59409375 |
transcript.pyannote[17].end |
1934.58096875 |
transcript.pyannote[18].speaker |
SPEAKER_13 |
transcript.pyannote[18].start |
1934.96909375 |
transcript.pyannote[18].end |
1936.92659375 |
transcript.pyannote[19].speaker |
SPEAKER_13 |
transcript.pyannote[19].start |
1937.53409375 |
transcript.pyannote[19].end |
1940.43659375 |
transcript.pyannote[20].speaker |
SPEAKER_13 |
transcript.pyannote[20].start |
1940.74034375 |
transcript.pyannote[20].end |
1946.37659375 |
transcript.pyannote[21].speaker |
SPEAKER_13 |
transcript.pyannote[21].start |
1947.37221875 |
transcript.pyannote[21].end |
1958.35784375 |
transcript.pyannote[22].speaker |
SPEAKER_13 |
transcript.pyannote[22].start |
1958.45909375 |
transcript.pyannote[22].end |
1962.99846875 |
transcript.pyannote[23].speaker |
SPEAKER_13 |
transcript.pyannote[23].start |
1963.30221875 |
transcript.pyannote[23].end |
1963.92659375 |
transcript.pyannote[24].speaker |
SPEAKER_13 |
transcript.pyannote[24].start |
1964.11221875 |
transcript.pyannote[24].end |
1970.38971875 |
transcript.pyannote[25].speaker |
SPEAKER_13 |
transcript.pyannote[25].start |
1970.67659375 |
transcript.pyannote[25].end |
1971.77346875 |
transcript.pyannote[26].speaker |
SPEAKER_13 |
transcript.pyannote[26].start |
1971.95909375 |
transcript.pyannote[26].end |
1973.47784375 |
transcript.pyannote[27].speaker |
SPEAKER_13 |
transcript.pyannote[27].start |
1973.71409375 |
transcript.pyannote[27].end |
1977.29159375 |
transcript.pyannote[28].speaker |
SPEAKER_13 |
transcript.pyannote[28].start |
1977.69659375 |
transcript.pyannote[28].end |
1979.43471875 |
transcript.pyannote[29].speaker |
SPEAKER_13 |
transcript.pyannote[29].start |
1979.60346875 |
transcript.pyannote[29].end |
1980.81846875 |
transcript.pyannote[30].speaker |
SPEAKER_13 |
transcript.pyannote[30].start |
1981.20659375 |
transcript.pyannote[30].end |
1983.16409375 |
transcript.pyannote[31].speaker |
SPEAKER_13 |
transcript.pyannote[31].start |
1983.48471875 |
transcript.pyannote[31].end |
1987.36596875 |
transcript.pyannote[32].speaker |
SPEAKER_13 |
transcript.pyannote[32].start |
1987.77096875 |
transcript.pyannote[32].end |
1988.69909375 |
transcript.pyannote[33].speaker |
SPEAKER_13 |
transcript.pyannote[33].start |
1988.95221875 |
transcript.pyannote[33].end |
1992.39471875 |
transcript.pyannote[34].speaker |
SPEAKER_13 |
transcript.pyannote[34].start |
1992.79971875 |
transcript.pyannote[34].end |
1993.76159375 |
transcript.pyannote[35].speaker |
SPEAKER_13 |
transcript.pyannote[35].start |
1993.94721875 |
transcript.pyannote[35].end |
1995.93846875 |
transcript.pyannote[36].speaker |
SPEAKER_13 |
transcript.pyannote[36].start |
1996.41096875 |
transcript.pyannote[36].end |
1998.87471875 |
transcript.pyannote[37].speaker |
SPEAKER_13 |
transcript.pyannote[37].start |
1999.02659375 |
transcript.pyannote[37].end |
2000.41034375 |
transcript.pyannote[38].speaker |
SPEAKER_13 |
transcript.pyannote[38].start |
2000.83221875 |
transcript.pyannote[38].end |
2001.74346875 |
transcript.pyannote[39].speaker |
SPEAKER_13 |
transcript.pyannote[39].start |
2002.24971875 |
transcript.pyannote[39].end |
2005.82721875 |
transcript.pyannote[40].speaker |
SPEAKER_13 |
transcript.pyannote[40].start |
2006.24909375 |
transcript.pyannote[40].end |
2008.89846875 |
transcript.pyannote[41].speaker |
SPEAKER_13 |
transcript.pyannote[41].start |
2010.14721875 |
transcript.pyannote[41].end |
2014.72034375 |
transcript.pyannote[42].speaker |
SPEAKER_13 |
transcript.pyannote[42].start |
2015.85096875 |
transcript.pyannote[42].end |
2020.54221875 |
transcript.pyannote[43].speaker |
SPEAKER_13 |
transcript.pyannote[43].start |
2020.81221875 |
transcript.pyannote[43].end |
2025.04784375 |
transcript.pyannote[44].speaker |
SPEAKER_13 |
transcript.pyannote[44].start |
2025.08159375 |
transcript.pyannote[44].end |
2027.96721875 |
transcript.pyannote[45].speaker |
SPEAKER_13 |
transcript.pyannote[45].start |
2028.33846875 |
transcript.pyannote[45].end |
2031.07221875 |
transcript.pyannote[46].speaker |
SPEAKER_13 |
transcript.pyannote[46].start |
2031.51096875 |
transcript.pyannote[46].end |
2037.60284375 |
transcript.pyannote[47].speaker |
SPEAKER_13 |
transcript.pyannote[47].start |
2038.14284375 |
transcript.pyannote[47].end |
2040.33659375 |
transcript.pyannote[48].speaker |
SPEAKER_13 |
transcript.pyannote[48].start |
2042.64846875 |
transcript.pyannote[48].end |
2048.25096875 |
transcript.pyannote[49].speaker |
SPEAKER_13 |
transcript.pyannote[49].start |
2048.43659375 |
transcript.pyannote[49].end |
2050.34346875 |
transcript.pyannote[50].speaker |
SPEAKER_13 |
transcript.pyannote[50].start |
2050.88346875 |
transcript.pyannote[50].end |
2053.21221875 |
transcript.pyannote[51].speaker |
SPEAKER_13 |
transcript.pyannote[51].start |
2053.80284375 |
transcript.pyannote[51].end |
2056.82346875 |
transcript.pyannote[52].speaker |
SPEAKER_13 |
transcript.pyannote[52].start |
2056.94159375 |
transcript.pyannote[52].end |
2058.73034375 |
transcript.pyannote[53].speaker |
SPEAKER_13 |
transcript.pyannote[53].start |
2059.82721875 |
transcript.pyannote[53].end |
2062.74659375 |
transcript.pyannote[54].speaker |
SPEAKER_13 |
transcript.pyannote[54].start |
2062.83096875 |
transcript.pyannote[54].end |
2063.37096875 |
transcript.pyannote[55].speaker |
SPEAKER_13 |
transcript.pyannote[55].start |
2063.47221875 |
transcript.pyannote[55].end |
2067.45471875 |
transcript.pyannote[56].speaker |
SPEAKER_13 |
transcript.pyannote[56].start |
2067.79221875 |
transcript.pyannote[56].end |
2070.32346875 |
transcript.pyannote[57].speaker |
SPEAKER_13 |
transcript.pyannote[57].start |
2070.71159375 |
transcript.pyannote[57].end |
2074.00221875 |
transcript.pyannote[58].speaker |
SPEAKER_13 |
transcript.pyannote[58].start |
2074.17096875 |
transcript.pyannote[58].end |
2075.89221875 |
transcript.pyannote[59].speaker |
SPEAKER_13 |
transcript.pyannote[59].start |
2076.12846875 |
transcript.pyannote[59].end |
2079.55409375 |
transcript.pyannote[60].speaker |
SPEAKER_13 |
transcript.pyannote[60].start |
2080.11096875 |
transcript.pyannote[60].end |
2080.53284375 |
transcript.pyannote[61].speaker |
SPEAKER_13 |
transcript.pyannote[61].start |
2081.25846875 |
transcript.pyannote[61].end |
2083.63784375 |
transcript.pyannote[62].speaker |
SPEAKER_13 |
transcript.pyannote[62].start |
2083.90784375 |
transcript.pyannote[62].end |
2087.89034375 |
transcript.pyannote[63].speaker |
SPEAKER_13 |
transcript.pyannote[63].start |
2087.97471875 |
transcript.pyannote[63].end |
2089.02096875 |
transcript.pyannote[64].speaker |
SPEAKER_07 |
transcript.pyannote[64].start |
2094.21846875 |
transcript.pyannote[64].end |
2119.36221875 |
transcript.pyannote[65].speaker |
SPEAKER_07 |
transcript.pyannote[65].start |
2119.96971875 |
transcript.pyannote[65].end |
2130.31409375 |
transcript.pyannote[66].speaker |
SPEAKER_07 |
transcript.pyannote[66].start |
2207.41596875 |
transcript.pyannote[66].end |
2208.05721875 |
transcript.pyannote[67].speaker |
SPEAKER_07 |
transcript.pyannote[67].start |
2208.51284375 |
transcript.pyannote[67].end |
2209.55909375 |
transcript.pyannote[68].speaker |
SPEAKER_07 |
transcript.pyannote[68].start |
2211.53346875 |
transcript.pyannote[68].end |
2212.12409375 |
transcript.pyannote[69].speaker |
SPEAKER_07 |
transcript.pyannote[69].start |
2217.79409375 |
transcript.pyannote[69].end |
2218.95846875 |
transcript.pyannote[70].speaker |
SPEAKER_07 |
transcript.pyannote[70].start |
2219.41409375 |
transcript.pyannote[70].end |
2223.39659375 |
transcript.pyannote[71].speaker |
SPEAKER_07 |
transcript.pyannote[71].start |
2236.08659375 |
transcript.pyannote[71].end |
2237.89221875 |
transcript.pyannote[72].speaker |
SPEAKER_07 |
transcript.pyannote[72].start |
2238.12846875 |
transcript.pyannote[72].end |
2241.28409375 |
transcript.pyannote[73].speaker |
SPEAKER_07 |
transcript.pyannote[73].start |
2241.58784375 |
transcript.pyannote[73].end |
2243.03909375 |
transcript.pyannote[74].speaker |
SPEAKER_07 |
transcript.pyannote[74].start |
2244.10221875 |
transcript.pyannote[74].end |
2245.90784375 |
transcript.pyannote[75].speaker |
SPEAKER_07 |
transcript.pyannote[75].start |
2246.36346875 |
transcript.pyannote[75].end |
2246.90346875 |
transcript.pyannote[76].speaker |
SPEAKER_07 |
transcript.pyannote[76].start |
2247.40971875 |
transcript.pyannote[76].end |
2249.13096875 |
transcript.pyannote[77].speaker |
SPEAKER_07 |
transcript.pyannote[77].start |
2249.40096875 |
transcript.pyannote[77].end |
2266.61346875 |
transcript.pyannote[78].speaker |
SPEAKER_07 |
transcript.pyannote[78].start |
2266.88346875 |
transcript.pyannote[78].end |
2287.01534375 |
transcript.pyannote[79].speaker |
SPEAKER_07 |
transcript.pyannote[79].start |
2287.85909375 |
transcript.pyannote[79].end |
2290.96409375 |
transcript.pyannote[80].speaker |
SPEAKER_07 |
transcript.pyannote[80].start |
2292.60096875 |
transcript.pyannote[80].end |
2293.46159375 |
transcript.pyannote[81].speaker |
SPEAKER_07 |
transcript.pyannote[81].start |
2294.08596875 |
transcript.pyannote[81].end |
2299.33409375 |
transcript.pyannote[82].speaker |
SPEAKER_07 |
transcript.pyannote[82].start |
2299.57034375 |
transcript.pyannote[82].end |
2301.74721875 |
transcript.pyannote[83].speaker |
SPEAKER_13 |
transcript.pyannote[83].start |
2304.26159375 |
transcript.pyannote[83].end |
2308.09221875 |
transcript.pyannote[84].speaker |
SPEAKER_13 |
transcript.pyannote[84].start |
2308.15971875 |
transcript.pyannote[84].end |
2316.47909375 |
transcript.pyannote[85].speaker |
SPEAKER_13 |
transcript.pyannote[85].start |
2316.56346875 |
transcript.pyannote[85].end |
2324.89971875 |
transcript.pyannote[86].speaker |
SPEAKER_13 |
transcript.pyannote[86].start |
2325.20346875 |
transcript.pyannote[86].end |
2328.91596875 |
transcript.pyannote[87].speaker |
SPEAKER_07 |
transcript.pyannote[87].start |
2331.19409375 |
transcript.pyannote[87].end |
2337.45471875 |
transcript.pyannote[88].speaker |
SPEAKER_07 |
transcript.pyannote[88].start |
2338.19721875 |
transcript.pyannote[88].end |
2344.72784375 |
transcript.pyannote[89].speaker |
SPEAKER_07 |
transcript.pyannote[89].start |
2346.28034375 |
transcript.pyannote[89].end |
2347.71471875 |
transcript.pyannote[90].speaker |
SPEAKER_07 |
transcript.pyannote[90].start |
2348.86221875 |
transcript.pyannote[90].end |
2351.15721875 |
transcript.pyannote[91].speaker |
SPEAKER_07 |
transcript.pyannote[91].start |
2353.18221875 |
transcript.pyannote[91].end |
2354.88659375 |
transcript.pyannote[92].speaker |
SPEAKER_07 |
transcript.pyannote[92].start |
2356.59096875 |
transcript.pyannote[92].end |
2358.97034375 |
transcript.pyannote[93].speaker |
SPEAKER_07 |
transcript.pyannote[93].start |
2361.26534375 |
transcript.pyannote[93].end |
2363.30721875 |
transcript.pyannote[94].speaker |
SPEAKER_07 |
transcript.pyannote[94].start |
2364.77534375 |
transcript.pyannote[94].end |
2366.14221875 |
transcript.pyannote[95].speaker |
SPEAKER_06 |
transcript.pyannote[95].start |
2366.20971875 |
transcript.pyannote[95].end |
2366.56409375 |
transcript.pyannote[96].speaker |
SPEAKER_07 |
transcript.pyannote[96].start |
2366.56409375 |
transcript.pyannote[96].end |
2366.90159375 |
transcript.pyannote[97].speaker |
SPEAKER_07 |
transcript.pyannote[97].start |
2368.13346875 |
transcript.pyannote[97].end |
2369.90534375 |
transcript.pyannote[98].speaker |
SPEAKER_07 |
transcript.pyannote[98].start |
2371.96409375 |
transcript.pyannote[98].end |
2374.56284375 |
transcript.pyannote[99].speaker |
SPEAKER_07 |
transcript.pyannote[99].start |
2376.26721875 |
transcript.pyannote[99].end |
2378.32596875 |
transcript.pyannote[100].speaker |
SPEAKER_07 |
transcript.pyannote[100].start |
2380.67159375 |
transcript.pyannote[100].end |
2382.51096875 |
transcript.pyannote[101].speaker |
SPEAKER_07 |
transcript.pyannote[101].start |
2384.31659375 |
transcript.pyannote[101].end |
2386.39221875 |
transcript.pyannote[102].speaker |
SPEAKER_07 |
transcript.pyannote[102].start |
2388.14721875 |
transcript.pyannote[102].end |
2390.29034375 |
transcript.pyannote[103].speaker |
SPEAKER_07 |
transcript.pyannote[103].start |
2391.87659375 |
transcript.pyannote[103].end |
2393.26034375 |
transcript.pyannote[104].speaker |
SPEAKER_07 |
transcript.pyannote[104].start |
2394.01971875 |
transcript.pyannote[104].end |
2394.79596875 |
transcript.pyannote[105].speaker |
SPEAKER_07 |
transcript.pyannote[105].start |
2396.73659375 |
transcript.pyannote[105].end |
2398.76159375 |
transcript.pyannote[106].speaker |
SPEAKER_07 |
transcript.pyannote[106].start |
2401.41096875 |
transcript.pyannote[106].end |
2404.80284375 |
transcript.pyannote[107].speaker |
SPEAKER_07 |
transcript.pyannote[107].start |
2406.70971875 |
transcript.pyannote[107].end |
2407.51971875 |
transcript.pyannote[108].speaker |
SPEAKER_07 |
transcript.pyannote[108].start |
2408.17784375 |
transcript.pyannote[108].end |
2409.37596875 |
transcript.pyannote[109].speaker |
SPEAKER_07 |
transcript.pyannote[109].start |
2409.71346875 |
transcript.pyannote[109].end |
2410.03409375 |
transcript.pyannote[110].speaker |
SPEAKER_07 |
transcript.pyannote[110].start |
2410.65846875 |
transcript.pyannote[110].end |
2410.94534375 |
transcript.pyannote[111].speaker |
SPEAKER_07 |
transcript.pyannote[111].start |
2411.65409375 |
transcript.pyannote[111].end |
2414.65784375 |
transcript.pyannote[112].speaker |
SPEAKER_07 |
transcript.pyannote[112].start |
2416.66596875 |
transcript.pyannote[112].end |
2416.95284375 |
transcript.pyannote[113].speaker |
SPEAKER_07 |
transcript.pyannote[113].start |
2417.52659375 |
transcript.pyannote[113].end |
2420.85096875 |
transcript.pyannote[114].speaker |
SPEAKER_07 |
transcript.pyannote[114].start |
2421.37409375 |
transcript.pyannote[114].end |
2423.58471875 |
transcript.pyannote[115].speaker |
SPEAKER_07 |
transcript.pyannote[115].start |
2423.93909375 |
transcript.pyannote[115].end |
2435.21159375 |
transcript.pyannote[116].speaker |
SPEAKER_07 |
transcript.pyannote[116].start |
2435.32971875 |
transcript.pyannote[116].end |
2435.38034375 |
transcript.pyannote[117].speaker |
SPEAKER_07 |
transcript.pyannote[117].start |
2435.43096875 |
transcript.pyannote[117].end |
2449.89284375 |
transcript.pyannote[118].speaker |
SPEAKER_07 |
transcript.pyannote[118].start |
2450.50034375 |
transcript.pyannote[118].end |
2458.58346875 |
transcript.pyannote[119].speaker |
SPEAKER_07 |
transcript.pyannote[119].start |
2459.51159375 |
transcript.pyannote[119].end |
2465.56971875 |
transcript.pyannote[120].speaker |
SPEAKER_07 |
transcript.pyannote[120].start |
2466.85221875 |
transcript.pyannote[120].end |
2475.76221875 |
transcript.pyannote[121].speaker |
SPEAKER_13 |
transcript.pyannote[121].start |
2477.71971875 |
transcript.pyannote[121].end |
2484.57096875 |
transcript.pyannote[122].speaker |
SPEAKER_13 |
transcript.pyannote[122].start |
2484.77346875 |
transcript.pyannote[122].end |
2486.30909375 |
transcript.pyannote[123].speaker |
SPEAKER_13 |
transcript.pyannote[123].start |
2486.39346875 |
transcript.pyannote[123].end |
2489.39721875 |
transcript.pyannote[124].speaker |
SPEAKER_13 |
transcript.pyannote[124].start |
2489.68409375 |
transcript.pyannote[124].end |
2491.25346875 |
transcript.pyannote[125].speaker |
SPEAKER_13 |
transcript.pyannote[125].start |
2491.43909375 |
transcript.pyannote[125].end |
2492.73846875 |
transcript.pyannote[126].speaker |
SPEAKER_13 |
transcript.pyannote[126].start |
2492.87346875 |
transcript.pyannote[126].end |
2494.93221875 |
transcript.pyannote[127].speaker |
SPEAKER_13 |
transcript.pyannote[127].start |
2495.08409375 |
transcript.pyannote[127].end |
2496.63659375 |
transcript.pyannote[128].speaker |
SPEAKER_13 |
transcript.pyannote[128].start |
2496.92346875 |
transcript.pyannote[128].end |
2498.07096875 |
transcript.pyannote[129].speaker |
SPEAKER_13 |
transcript.pyannote[129].start |
2498.12159375 |
transcript.pyannote[129].end |
2500.88909375 |
transcript.pyannote[130].speaker |
SPEAKER_13 |
transcript.pyannote[130].start |
2501.04096875 |
transcript.pyannote[130].end |
2502.62721875 |
transcript.pyannote[131].speaker |
SPEAKER_13 |
transcript.pyannote[131].start |
2502.84659375 |
transcript.pyannote[131].end |
2506.77846875 |
transcript.pyannote[132].speaker |
SPEAKER_13 |
transcript.pyannote[132].start |
2507.18346875 |
transcript.pyannote[132].end |
2511.87471875 |
transcript.pyannote[133].speaker |
SPEAKER_13 |
transcript.pyannote[133].start |
2512.02659375 |
transcript.pyannote[133].end |
2516.34659375 |
transcript.pyannote[134].speaker |
SPEAKER_13 |
transcript.pyannote[134].start |
2516.66721875 |
transcript.pyannote[134].end |
2521.18971875 |
transcript.pyannote[135].speaker |
SPEAKER_13 |
transcript.pyannote[135].start |
2521.34159375 |
transcript.pyannote[135].end |
2521.91534375 |
transcript.pyannote[136].speaker |
SPEAKER_13 |
transcript.pyannote[136].start |
2522.20221875 |
transcript.pyannote[136].end |
2525.91471875 |
transcript.pyannote[137].speaker |
SPEAKER_13 |
transcript.pyannote[137].start |
2526.23534375 |
transcript.pyannote[137].end |
2527.99034375 |
transcript.pyannote[138].speaker |
SPEAKER_13 |
transcript.pyannote[138].start |
2528.61471875 |
transcript.pyannote[138].end |
2535.39846875 |
transcript.pyannote[139].speaker |
SPEAKER_13 |
transcript.pyannote[139].start |
2535.70221875 |
transcript.pyannote[139].end |
2542.68846875 |
transcript.pyannote[140].speaker |
SPEAKER_13 |
transcript.pyannote[140].start |
2542.87409375 |
transcript.pyannote[140].end |
2546.89034375 |
transcript.pyannote[141].speaker |
SPEAKER_13 |
transcript.pyannote[141].start |
2546.99159375 |
transcript.pyannote[141].end |
2550.73784375 |
transcript.pyannote[142].speaker |
SPEAKER_13 |
transcript.pyannote[142].start |
2551.07534375 |
transcript.pyannote[142].end |
2553.72471875 |
transcript.pyannote[143].speaker |
SPEAKER_13 |
transcript.pyannote[143].start |
2554.02846875 |
transcript.pyannote[143].end |
2554.68659375 |
transcript.pyannote[144].speaker |
SPEAKER_13 |
transcript.pyannote[144].start |
2555.26034375 |
transcript.pyannote[144].end |
2560.03596875 |
transcript.pyannote[145].speaker |
SPEAKER_13 |
transcript.pyannote[145].start |
2560.25534375 |
transcript.pyannote[145].end |
2563.30971875 |
transcript.pyannote[146].speaker |
SPEAKER_13 |
transcript.pyannote[146].start |
2563.69784375 |
transcript.pyannote[146].end |
2565.55409375 |
transcript.pyannote[147].speaker |
SPEAKER_13 |
transcript.pyannote[147].start |
2565.84096875 |
transcript.pyannote[147].end |
2566.41471875 |
transcript.pyannote[148].speaker |
SPEAKER_13 |
transcript.pyannote[148].start |
2567.15721875 |
transcript.pyannote[148].end |
2569.63784375 |
transcript.pyannote[149].speaker |
SPEAKER_13 |
transcript.pyannote[149].start |
2569.67159375 |
transcript.pyannote[149].end |
2571.03846875 |
transcript.pyannote[150].speaker |
SPEAKER_13 |
transcript.pyannote[150].start |
2571.34221875 |
transcript.pyannote[150].end |
2573.08034375 |
transcript.pyannote[151].speaker |
SPEAKER_13 |
transcript.pyannote[151].start |
2573.23221875 |
transcript.pyannote[151].end |
2573.94096875 |
transcript.pyannote[152].speaker |
SPEAKER_13 |
transcript.pyannote[152].start |
2575.37534375 |
transcript.pyannote[152].end |
2580.89346875 |
transcript.pyannote[153].speaker |
SPEAKER_13 |
transcript.pyannote[153].start |
2581.53471875 |
transcript.pyannote[153].end |
2583.37409375 |
transcript.pyannote[154].speaker |
SPEAKER_13 |
transcript.pyannote[154].start |
2583.57659375 |
transcript.pyannote[154].end |
2586.17534375 |
transcript.pyannote[155].speaker |
SPEAKER_13 |
transcript.pyannote[155].start |
2586.32721875 |
transcript.pyannote[155].end |
2587.49159375 |
transcript.pyannote[156].speaker |
SPEAKER_13 |
transcript.pyannote[156].start |
2587.81221875 |
transcript.pyannote[156].end |
2590.42784375 |
transcript.pyannote[157].speaker |
SPEAKER_13 |
transcript.pyannote[157].start |
2591.15346875 |
transcript.pyannote[157].end |
2597.61659375 |
transcript.pyannote[158].speaker |
SPEAKER_13 |
transcript.pyannote[158].start |
2598.02159375 |
transcript.pyannote[158].end |
2600.50221875 |
transcript.pyannote[159].speaker |
SPEAKER_13 |
transcript.pyannote[159].start |
2600.78909375 |
transcript.pyannote[159].end |
2603.11784375 |
transcript.pyannote[160].speaker |
SPEAKER_13 |
transcript.pyannote[160].start |
2603.21909375 |
transcript.pyannote[160].end |
2613.96846875 |
transcript.pyannote[161].speaker |
SPEAKER_13 |
transcript.pyannote[161].start |
2614.22159375 |
transcript.pyannote[161].end |
2614.86284375 |
transcript.pyannote[162].speaker |
SPEAKER_13 |
transcript.pyannote[162].start |
2615.85846875 |
transcript.pyannote[162].end |
2623.99221875 |
transcript.pyannote[163].speaker |
SPEAKER_13 |
transcript.pyannote[163].start |
2624.44784375 |
transcript.pyannote[163].end |
2629.07159375 |
transcript.pyannote[164].speaker |
SPEAKER_13 |
transcript.pyannote[164].start |
2629.39221875 |
transcript.pyannote[164].end |
2631.75471875 |
transcript.pyannote[165].speaker |
SPEAKER_13 |
transcript.pyannote[165].start |
2631.92346875 |
transcript.pyannote[165].end |
2632.49721875 |
transcript.pyannote[166].speaker |
SPEAKER_13 |
transcript.pyannote[166].start |
2632.80096875 |
transcript.pyannote[166].end |
2633.76284375 |
transcript.pyannote[167].speaker |
SPEAKER_13 |
transcript.pyannote[167].start |
2634.25221875 |
transcript.pyannote[167].end |
2635.68659375 |
transcript.pyannote[168].speaker |
SPEAKER_13 |
transcript.pyannote[168].start |
2635.97346875 |
transcript.pyannote[168].end |
2638.40346875 |
transcript.pyannote[169].speaker |
SPEAKER_13 |
transcript.pyannote[169].start |
2638.45409375 |
transcript.pyannote[169].end |
2639.60159375 |
transcript.pyannote[170].speaker |
SPEAKER_13 |
transcript.pyannote[170].start |
2640.05721875 |
transcript.pyannote[170].end |
2642.41971875 |
transcript.pyannote[171].speaker |
SPEAKER_13 |
transcript.pyannote[171].start |
2642.67284375 |
transcript.pyannote[171].end |
2643.33096875 |
transcript.pyannote[172].speaker |
SPEAKER_13 |
transcript.pyannote[172].start |
2643.66846875 |
transcript.pyannote[172].end |
2647.53284375 |
transcript.pyannote[173].speaker |
SPEAKER_13 |
transcript.pyannote[173].start |
2648.00534375 |
transcript.pyannote[173].end |
2653.03409375 |
transcript.pyannote[174].speaker |
SPEAKER_13 |
transcript.pyannote[174].start |
2653.57409375 |
transcript.pyannote[174].end |
2656.27409375 |
transcript.pyannote[175].speaker |
SPEAKER_13 |
transcript.pyannote[175].start |
2656.79721875 |
transcript.pyannote[175].end |
2659.53096875 |
transcript.pyannote[176].speaker |
SPEAKER_13 |
transcript.pyannote[176].start |
2659.66596875 |
transcript.pyannote[176].end |
2663.95221875 |
transcript.pyannote[177].speaker |
SPEAKER_13 |
transcript.pyannote[177].start |
2664.22221875 |
transcript.pyannote[177].end |
2666.71971875 |
transcript.pyannote[178].speaker |
SPEAKER_13 |
transcript.pyannote[178].start |
2667.09096875 |
transcript.pyannote[178].end |
2670.41534375 |
transcript.pyannote[179].speaker |
SPEAKER_13 |
transcript.pyannote[179].start |
2670.92159375 |
transcript.pyannote[179].end |
2676.49034375 |
transcript.pyannote[180].speaker |
SPEAKER_13 |
transcript.pyannote[180].start |
2677.21596875 |
transcript.pyannote[180].end |
2681.83971875 |
transcript.pyannote[181].speaker |
SPEAKER_13 |
transcript.pyannote[181].start |
2683.10534375 |
transcript.pyannote[181].end |
2686.05846875 |
transcript.pyannote[182].speaker |
SPEAKER_13 |
transcript.pyannote[182].start |
2686.26096875 |
transcript.pyannote[182].end |
2689.41659375 |
transcript.pyannote[183].speaker |
SPEAKER_13 |
transcript.pyannote[183].start |
2689.58534375 |
transcript.pyannote[183].end |
2691.44159375 |
transcript.pyannote[184].speaker |
SPEAKER_13 |
transcript.pyannote[184].start |
2691.72846875 |
transcript.pyannote[184].end |
2693.36534375 |
transcript.pyannote[185].speaker |
SPEAKER_13 |
transcript.pyannote[185].start |
2693.55096875 |
transcript.pyannote[185].end |
2695.67721875 |
transcript.pyannote[186].speaker |
SPEAKER_13 |
transcript.pyannote[186].start |
2696.01471875 |
transcript.pyannote[186].end |
2697.39846875 |
transcript.pyannote[187].speaker |
SPEAKER_13 |
transcript.pyannote[187].start |
2697.65159375 |
transcript.pyannote[187].end |
2700.11534375 |
transcript.pyannote[188].speaker |
SPEAKER_13 |
transcript.pyannote[188].start |
2700.26721875 |
transcript.pyannote[188].end |
2704.94159375 |
transcript.pyannote[189].speaker |
SPEAKER_13 |
transcript.pyannote[189].start |
2705.26221875 |
transcript.pyannote[189].end |
2707.62471875 |
transcript.pyannote[190].speaker |
SPEAKER_13 |
transcript.pyannote[190].start |
2707.77659375 |
transcript.pyannote[190].end |
2712.07971875 |
transcript.pyannote[191].speaker |
SPEAKER_13 |
transcript.pyannote[191].start |
2712.31596875 |
transcript.pyannote[191].end |
2714.94846875 |
transcript.pyannote[192].speaker |
SPEAKER_13 |
transcript.pyannote[192].start |
2715.64034375 |
transcript.pyannote[192].end |
2718.96471875 |
transcript.pyannote[193].speaker |
SPEAKER_13 |
transcript.pyannote[193].start |
2719.57221875 |
transcript.pyannote[193].end |
2720.63534375 |
transcript.pyannote[194].speaker |
SPEAKER_13 |
transcript.pyannote[194].start |
2721.14159375 |
transcript.pyannote[194].end |
2723.80784375 |
transcript.pyannote[195].speaker |
SPEAKER_13 |
transcript.pyannote[195].start |
2723.85846875 |
transcript.pyannote[195].end |
2727.11534375 |
transcript.pyannote[196].speaker |
SPEAKER_13 |
transcript.pyannote[196].start |
2727.40221875 |
transcript.pyannote[196].end |
2730.82784375 |
transcript.pyannote[197].speaker |
SPEAKER_13 |
transcript.pyannote[197].start |
2731.13159375 |
transcript.pyannote[197].end |
2733.17346875 |
transcript.pyannote[198].speaker |
SPEAKER_13 |
transcript.pyannote[198].start |
2733.42659375 |
transcript.pyannote[198].end |
2734.60784375 |
transcript.pyannote[199].speaker |
SPEAKER_13 |
transcript.pyannote[199].start |
2734.79346875 |
transcript.pyannote[199].end |
2738.82659375 |
transcript.pyannote[200].speaker |
SPEAKER_13 |
transcript.pyannote[200].start |
2738.87721875 |
transcript.pyannote[200].end |
2745.03659375 |
transcript.pyannote[201].speaker |
SPEAKER_13 |
transcript.pyannote[201].start |
2745.72846875 |
transcript.pyannote[201].end |
2747.95596875 |
transcript.pyannote[202].speaker |
SPEAKER_13 |
transcript.pyannote[202].start |
2748.25971875 |
transcript.pyannote[202].end |
2748.98534375 |
transcript.pyannote[203].speaker |
SPEAKER_13 |
transcript.pyannote[203].start |
2749.28909375 |
transcript.pyannote[203].end |
2753.98034375 |
transcript.pyannote[204].speaker |
SPEAKER_13 |
transcript.pyannote[204].start |
2754.16596875 |
transcript.pyannote[204].end |
2754.89159375 |
transcript.pyannote[205].speaker |
SPEAKER_13 |
transcript.pyannote[205].start |
2755.75221875 |
transcript.pyannote[205].end |
2760.79784375 |
transcript.pyannote[206].speaker |
SPEAKER_13 |
transcript.pyannote[206].start |
2761.03409375 |
transcript.pyannote[206].end |
2765.59034375 |
transcript.pyannote[207].speaker |
SPEAKER_13 |
transcript.pyannote[207].start |
2765.84346875 |
transcript.pyannote[207].end |
2769.80909375 |
transcript.pyannote[208].speaker |
SPEAKER_13 |
transcript.pyannote[208].start |
2770.24784375 |
transcript.pyannote[208].end |
2772.82971875 |
transcript.pyannote[209].speaker |
SPEAKER_13 |
transcript.pyannote[209].start |
2773.15034375 |
transcript.pyannote[209].end |
2775.86721875 |
transcript.pyannote[210].speaker |
SPEAKER_13 |
transcript.pyannote[210].start |
2776.42409375 |
transcript.pyannote[210].end |
2779.42784375 |
transcript.pyannote[211].speaker |
SPEAKER_13 |
transcript.pyannote[211].start |
2779.64721875 |
transcript.pyannote[211].end |
2781.46971875 |
transcript.pyannote[212].speaker |
SPEAKER_13 |
transcript.pyannote[212].start |
2781.70596875 |
transcript.pyannote[212].end |
2783.15721875 |
transcript.pyannote[213].speaker |
SPEAKER_13 |
transcript.pyannote[213].start |
2783.42721875 |
transcript.pyannote[213].end |
2785.55346875 |
transcript.pyannote[214].speaker |
SPEAKER_13 |
transcript.pyannote[214].start |
2785.87409375 |
transcript.pyannote[214].end |
2789.48534375 |
transcript.pyannote[215].speaker |
SPEAKER_13 |
transcript.pyannote[215].start |
2789.82284375 |
transcript.pyannote[215].end |
2793.31596875 |
transcript.pyannote[216].speaker |
SPEAKER_13 |
transcript.pyannote[216].start |
2793.97409375 |
transcript.pyannote[216].end |
2797.82159375 |
transcript.pyannote[217].speaker |
SPEAKER_13 |
transcript.pyannote[217].start |
2798.47971875 |
transcript.pyannote[217].end |
2799.59346875 |
transcript.pyannote[218].speaker |
SPEAKER_13 |
transcript.pyannote[218].start |
2800.79159375 |
transcript.pyannote[218].end |
2801.78721875 |
transcript.pyannote[219].speaker |
SPEAKER_13 |
transcript.pyannote[219].start |
2802.20909375 |
transcript.pyannote[219].end |
2805.61784375 |
transcript.pyannote[220].speaker |
SPEAKER_13 |
transcript.pyannote[220].start |
2806.00596875 |
transcript.pyannote[220].end |
2808.95909375 |
transcript.pyannote[221].speaker |
SPEAKER_13 |
transcript.pyannote[221].start |
2809.19534375 |
transcript.pyannote[221].end |
2814.51096875 |
transcript.pyannote[222].speaker |
SPEAKER_13 |
transcript.pyannote[222].start |
2814.76409375 |
transcript.pyannote[222].end |
2817.16034375 |
transcript.pyannote[223].speaker |
SPEAKER_13 |
transcript.pyannote[223].start |
2817.32909375 |
transcript.pyannote[223].end |
2821.22721875 |
transcript.pyannote[224].speaker |
SPEAKER_13 |
transcript.pyannote[224].start |
2821.58159375 |
transcript.pyannote[224].end |
2825.56409375 |
transcript.pyannote[225].speaker |
SPEAKER_13 |
transcript.pyannote[225].start |
2826.03659375 |
transcript.pyannote[225].end |
2827.03221875 |
transcript.pyannote[226].speaker |
SPEAKER_13 |
transcript.pyannote[226].start |
2827.25159375 |
transcript.pyannote[226].end |
2830.76159375 |
transcript.pyannote[227].speaker |
SPEAKER_13 |
transcript.pyannote[227].start |
2831.20034375 |
transcript.pyannote[227].end |
2834.82846875 |
transcript.pyannote[228].speaker |
SPEAKER_13 |
transcript.pyannote[228].start |
2835.33471875 |
transcript.pyannote[228].end |
2837.68034375 |
transcript.pyannote[229].speaker |
SPEAKER_13 |
transcript.pyannote[229].start |
2837.86596875 |
transcript.pyannote[229].end |
2839.63784375 |
transcript.pyannote[230].speaker |
SPEAKER_13 |
transcript.pyannote[230].start |
2840.11034375 |
transcript.pyannote[230].end |
2842.94534375 |
transcript.pyannote[231].speaker |
SPEAKER_13 |
transcript.pyannote[231].start |
2843.19846875 |
transcript.pyannote[231].end |
2844.12659375 |
transcript.pyannote[232].speaker |
SPEAKER_13 |
transcript.pyannote[232].start |
2844.31221875 |
transcript.pyannote[232].end |
2845.37534375 |
transcript.pyannote[233].speaker |
SPEAKER_13 |
transcript.pyannote[233].start |
2845.61159375 |
transcript.pyannote[233].end |
2849.69534375 |
transcript.pyannote[234].speaker |
SPEAKER_13 |
transcript.pyannote[234].start |
2850.57284375 |
transcript.pyannote[234].end |
2853.72846875 |
transcript.pyannote[235].speaker |
SPEAKER_13 |
transcript.pyannote[235].start |
2853.91409375 |
transcript.pyannote[235].end |
2857.05284375 |
transcript.pyannote[236].speaker |
SPEAKER_13 |
transcript.pyannote[236].start |
2857.37346875 |
transcript.pyannote[236].end |
2859.39846875 |
transcript.pyannote[237].speaker |
SPEAKER_13 |
transcript.pyannote[237].start |
2859.68534375 |
transcript.pyannote[237].end |
2861.11971875 |
transcript.pyannote[238].speaker |
SPEAKER_13 |
transcript.pyannote[238].start |
2861.42346875 |
transcript.pyannote[238].end |
2865.18659375 |
transcript.pyannote[239].speaker |
SPEAKER_13 |
transcript.pyannote[239].start |
2865.55784375 |
transcript.pyannote[239].end |
2867.14409375 |
transcript.pyannote[240].speaker |
SPEAKER_13 |
transcript.pyannote[240].start |
2867.41409375 |
transcript.pyannote[240].end |
2872.03784375 |
transcript.pyannote[241].speaker |
SPEAKER_13 |
transcript.pyannote[241].start |
2872.72971875 |
transcript.pyannote[241].end |
2873.57346875 |
transcript.pyannote[242].speaker |
SPEAKER_13 |
transcript.pyannote[242].start |
2873.74221875 |
transcript.pyannote[242].end |
2875.63221875 |
transcript.pyannote[243].speaker |
SPEAKER_13 |
transcript.pyannote[243].start |
2875.78409375 |
transcript.pyannote[243].end |
2877.55596875 |
transcript.pyannote[244].speaker |
SPEAKER_13 |
transcript.pyannote[244].start |
2877.85971875 |
transcript.pyannote[244].end |
2878.88909375 |
transcript.pyannote[245].speaker |
SPEAKER_13 |
transcript.pyannote[245].start |
2879.19284375 |
transcript.pyannote[245].end |
2885.50409375 |
transcript.pyannote[246].speaker |
SPEAKER_13 |
transcript.pyannote[246].start |
2885.75721875 |
transcript.pyannote[246].end |
2887.12409375 |
transcript.pyannote[247].speaker |
SPEAKER_13 |
transcript.pyannote[247].start |
2887.32659375 |
transcript.pyannote[247].end |
2889.33471875 |
transcript.pyannote[248].speaker |
SPEAKER_13 |
transcript.pyannote[248].start |
2889.41909375 |
transcript.pyannote[248].end |
2890.61721875 |
transcript.pyannote[249].speaker |
SPEAKER_13 |
transcript.pyannote[249].start |
2891.15721875 |
transcript.pyannote[249].end |
2895.05534375 |
transcript.pyannote[250].speaker |
SPEAKER_13 |
transcript.pyannote[250].start |
2895.35909375 |
transcript.pyannote[250].end |
2897.24909375 |
transcript.pyannote[251].speaker |
SPEAKER_13 |
transcript.pyannote[251].start |
2897.48534375 |
transcript.pyannote[251].end |
2902.10909375 |
transcript.pyannote[252].speaker |
SPEAKER_13 |
transcript.pyannote[252].start |
2902.54784375 |
transcript.pyannote[252].end |
2905.61909375 |
transcript.pyannote[253].speaker |
SPEAKER_13 |
transcript.pyannote[253].start |
2905.87221875 |
transcript.pyannote[253].end |
2907.79596875 |
transcript.pyannote[254].speaker |
SPEAKER_13 |
transcript.pyannote[254].start |
2907.89721875 |
transcript.pyannote[254].end |
2909.48346875 |
transcript.pyannote[255].speaker |
SPEAKER_13 |
transcript.pyannote[255].start |
2910.52971875 |
transcript.pyannote[255].end |
2914.15784375 |
transcript.pyannote[256].speaker |
SPEAKER_13 |
transcript.pyannote[256].start |
2914.54596875 |
transcript.pyannote[256].end |
2916.30096875 |
transcript.pyannote[257].speaker |
SPEAKER_13 |
transcript.pyannote[257].start |
2916.75659375 |
transcript.pyannote[257].end |
2918.62971875 |
transcript.pyannote[258].speaker |
SPEAKER_13 |
transcript.pyannote[258].start |
2918.68034375 |
transcript.pyannote[258].end |
2921.86971875 |
transcript.pyannote[259].speaker |
SPEAKER_13 |
transcript.pyannote[259].start |
2922.49409375 |
transcript.pyannote[259].end |
2924.28284375 |
transcript.pyannote[260].speaker |
SPEAKER_13 |
transcript.pyannote[260].start |
2924.46846875 |
transcript.pyannote[260].end |
2927.40471875 |
transcript.pyannote[261].speaker |
SPEAKER_13 |
transcript.pyannote[261].start |
2927.77596875 |
transcript.pyannote[261].end |
2930.40846875 |
transcript.pyannote[262].speaker |
SPEAKER_13 |
transcript.pyannote[262].start |
2930.62784375 |
transcript.pyannote[262].end |
2932.50096875 |
transcript.pyannote[263].speaker |
SPEAKER_13 |
transcript.pyannote[263].start |
2932.73721875 |
transcript.pyannote[263].end |
2934.27284375 |
transcript.pyannote[264].speaker |
SPEAKER_13 |
transcript.pyannote[264].start |
2934.57659375 |
transcript.pyannote[264].end |
2936.66909375 |
transcript.pyannote[265].speaker |
SPEAKER_13 |
transcript.pyannote[265].start |
2936.90534375 |
transcript.pyannote[265].end |
2938.28909375 |
transcript.pyannote[266].speaker |
SPEAKER_13 |
transcript.pyannote[266].start |
2938.45784375 |
transcript.pyannote[266].end |
2941.68096875 |
transcript.pyannote[267].speaker |
SPEAKER_13 |
transcript.pyannote[267].start |
2941.96784375 |
transcript.pyannote[267].end |
2943.84096875 |
transcript.pyannote[268].speaker |
SPEAKER_13 |
transcript.pyannote[268].start |
2944.06034375 |
transcript.pyannote[268].end |
2945.74784375 |
transcript.pyannote[269].speaker |
SPEAKER_13 |
transcript.pyannote[269].start |
2945.93346875 |
transcript.pyannote[269].end |
2947.68846875 |
transcript.pyannote[270].speaker |
SPEAKER_13 |
transcript.pyannote[270].start |
2948.02596875 |
transcript.pyannote[270].end |
2949.57846875 |
transcript.pyannote[271].speaker |
SPEAKER_13 |
transcript.pyannote[271].start |
2949.83159375 |
transcript.pyannote[271].end |
2951.82284375 |
transcript.pyannote[272].speaker |
SPEAKER_13 |
transcript.pyannote[272].start |
2952.19409375 |
transcript.pyannote[272].end |
2955.55221875 |
transcript.pyannote[273].speaker |
SPEAKER_13 |
transcript.pyannote[273].start |
2955.87284375 |
transcript.pyannote[273].end |
2958.89346875 |
transcript.pyannote[274].speaker |
SPEAKER_13 |
transcript.pyannote[274].start |
2959.07909375 |
transcript.pyannote[274].end |
2959.68659375 |
transcript.pyannote[275].speaker |
SPEAKER_13 |
transcript.pyannote[275].start |
2960.00721875 |
transcript.pyannote[275].end |
2962.75784375 |
transcript.pyannote[276].speaker |
SPEAKER_13 |
transcript.pyannote[276].start |
2963.26409375 |
transcript.pyannote[276].end |
2968.54596875 |
transcript.pyannote[277].speaker |
SPEAKER_13 |
transcript.pyannote[277].start |
2968.84971875 |
transcript.pyannote[277].end |
2972.34284375 |
transcript.pyannote[278].speaker |
SPEAKER_13 |
transcript.pyannote[278].start |
2972.51159375 |
transcript.pyannote[278].end |
2973.59159375 |
transcript.pyannote[279].speaker |
SPEAKER_13 |
transcript.pyannote[279].start |
2973.86159375 |
transcript.pyannote[279].end |
2975.39721875 |
transcript.pyannote[280].speaker |
SPEAKER_13 |
transcript.pyannote[280].start |
2975.68409375 |
transcript.pyannote[280].end |
2978.46846875 |
transcript.pyannote[281].speaker |
SPEAKER_13 |
transcript.pyannote[281].start |
2978.82284375 |
transcript.pyannote[281].end |
2981.11784375 |
transcript.pyannote[282].speaker |
SPEAKER_13 |
transcript.pyannote[282].start |
2981.32034375 |
transcript.pyannote[282].end |
2983.54784375 |
transcript.pyannote[283].speaker |
SPEAKER_13 |
transcript.pyannote[283].start |
2983.68284375 |
transcript.pyannote[283].end |
2987.19284375 |
transcript.pyannote[284].speaker |
SPEAKER_13 |
transcript.pyannote[284].start |
2987.80034375 |
transcript.pyannote[284].end |
2990.07846875 |
transcript.pyannote[285].speaker |
SPEAKER_13 |
transcript.pyannote[285].start |
2990.71971875 |
transcript.pyannote[285].end |
2992.45784375 |
transcript.pyannote[286].speaker |
SPEAKER_13 |
transcript.pyannote[286].start |
2992.47471875 |
transcript.pyannote[286].end |
2994.19596875 |
transcript.pyannote[287].speaker |
SPEAKER_13 |
transcript.pyannote[287].start |
2994.55034375 |
transcript.pyannote[287].end |
2995.73159375 |
transcript.pyannote[288].speaker |
SPEAKER_13 |
transcript.pyannote[288].start |
2995.91721875 |
transcript.pyannote[288].end |
2997.60471875 |
transcript.pyannote[289].speaker |
SPEAKER_13 |
transcript.pyannote[289].start |
2998.16159375 |
transcript.pyannote[289].end |
3002.16096875 |
transcript.pyannote[290].speaker |
SPEAKER_13 |
transcript.pyannote[290].start |
3002.83596875 |
transcript.pyannote[290].end |
3004.74284375 |
transcript.pyannote[291].speaker |
SPEAKER_13 |
transcript.pyannote[291].start |
3005.02971875 |
transcript.pyannote[291].end |
3009.09659375 |
transcript.pyannote[292].speaker |
SPEAKER_13 |
transcript.pyannote[292].start |
3009.46784375 |
transcript.pyannote[292].end |
3012.04971875 |
transcript.pyannote[293].speaker |
SPEAKER_13 |
transcript.pyannote[293].start |
3012.72471875 |
transcript.pyannote[293].end |
3016.36971875 |
transcript.pyannote[294].speaker |
SPEAKER_13 |
transcript.pyannote[294].start |
3016.94346875 |
transcript.pyannote[294].end |
3018.54659375 |
transcript.pyannote[295].speaker |
SPEAKER_13 |
transcript.pyannote[295].start |
3019.79534375 |
transcript.pyannote[295].end |
3022.47846875 |
transcript.pyannote[296].speaker |
SPEAKER_13 |
transcript.pyannote[296].start |
3023.03534375 |
transcript.pyannote[296].end |
3027.62534375 |
transcript.pyannote[297].speaker |
SPEAKER_13 |
transcript.pyannote[297].start |
3028.16534375 |
transcript.pyannote[297].end |
3030.86534375 |
transcript.pyannote[298].speaker |
SPEAKER_13 |
transcript.pyannote[298].start |
3031.08471875 |
transcript.pyannote[298].end |
3032.73846875 |
transcript.pyannote[299].speaker |
SPEAKER_13 |
transcript.pyannote[299].start |
3032.85659375 |
transcript.pyannote[299].end |
3034.00409375 |
transcript.pyannote[300].speaker |
SPEAKER_13 |
transcript.pyannote[300].start |
3034.25721875 |
transcript.pyannote[300].end |
3037.02471875 |
transcript.pyannote[301].speaker |
SPEAKER_13 |
transcript.pyannote[301].start |
3037.48034375 |
transcript.pyannote[301].end |
3041.83409375 |
transcript.pyannote[302].speaker |
SPEAKER_13 |
transcript.pyannote[302].start |
3042.28971875 |
transcript.pyannote[302].end |
3045.54659375 |
transcript.pyannote[303].speaker |
SPEAKER_13 |
transcript.pyannote[303].start |
3045.98534375 |
transcript.pyannote[303].end |
3047.79096875 |
transcript.pyannote[304].speaker |
SPEAKER_13 |
transcript.pyannote[304].start |
3047.97659375 |
transcript.pyannote[304].end |
3049.30971875 |
transcript.pyannote[305].speaker |
SPEAKER_13 |
transcript.pyannote[305].start |
3049.76534375 |
transcript.pyannote[305].end |
3054.13596875 |
transcript.pyannote[306].speaker |
SPEAKER_13 |
transcript.pyannote[306].start |
3054.47346875 |
transcript.pyannote[306].end |
3056.81909375 |
transcript.pyannote[307].speaker |
SPEAKER_13 |
transcript.pyannote[307].start |
3056.95409375 |
transcript.pyannote[307].end |
3058.33784375 |
transcript.pyannote[308].speaker |
SPEAKER_13 |
transcript.pyannote[308].start |
3058.59096875 |
transcript.pyannote[308].end |
3060.09284375 |
transcript.pyannote[309].speaker |
SPEAKER_13 |
transcript.pyannote[309].start |
3060.48096875 |
transcript.pyannote[309].end |
3062.65784375 |
transcript.pyannote[310].speaker |
SPEAKER_13 |
transcript.pyannote[310].start |
3063.09659375 |
transcript.pyannote[310].end |
3064.46346875 |
transcript.pyannote[311].speaker |
SPEAKER_13 |
transcript.pyannote[311].start |
3065.02034375 |
transcript.pyannote[311].end |
3070.20096875 |
transcript.pyannote[312].speaker |
SPEAKER_13 |
transcript.pyannote[312].start |
3070.67346875 |
transcript.pyannote[312].end |
3074.30159375 |
transcript.pyannote[313].speaker |
SPEAKER_13 |
transcript.pyannote[313].start |
3074.58846875 |
transcript.pyannote[313].end |
3078.33471875 |
transcript.pyannote[314].speaker |
SPEAKER_13 |
transcript.pyannote[314].start |
3078.75659375 |
transcript.pyannote[314].end |
3080.91659375 |
transcript.pyannote[315].speaker |
SPEAKER_13 |
transcript.pyannote[315].start |
3081.33846875 |
transcript.pyannote[315].end |
3083.48159375 |
transcript.pyannote[316].speaker |
SPEAKER_13 |
transcript.pyannote[316].start |
3083.86971875 |
transcript.pyannote[316].end |
3085.25346875 |
transcript.pyannote[317].speaker |
SPEAKER_13 |
transcript.pyannote[317].start |
3085.69221875 |
transcript.pyannote[317].end |
3087.17721875 |
transcript.pyannote[318].speaker |
SPEAKER_13 |
transcript.pyannote[318].start |
3087.44721875 |
transcript.pyannote[318].end |
3089.94471875 |
transcript.pyannote[319].speaker |
SPEAKER_13 |
transcript.pyannote[319].start |
3090.28221875 |
transcript.pyannote[319].end |
3091.71659375 |
transcript.pyannote[320].speaker |
SPEAKER_13 |
transcript.pyannote[320].start |
3092.07096875 |
transcript.pyannote[320].end |
3093.82596875 |
transcript.pyannote[321].speaker |
SPEAKER_13 |
transcript.pyannote[321].start |
3094.19721875 |
transcript.pyannote[321].end |
3094.97346875 |
transcript.pyannote[322].speaker |
SPEAKER_13 |
transcript.pyannote[322].start |
3095.19284375 |
transcript.pyannote[322].end |
3097.30221875 |
transcript.pyannote[323].speaker |
SPEAKER_13 |
transcript.pyannote[323].start |
3097.48784375 |
transcript.pyannote[323].end |
3098.56784375 |
transcript.pyannote[324].speaker |
SPEAKER_13 |
transcript.pyannote[324].start |
3098.83784375 |
transcript.pyannote[324].end |
3100.77846875 |
transcript.pyannote[325].speaker |
SPEAKER_13 |
transcript.pyannote[325].start |
3101.13284375 |
transcript.pyannote[325].end |
3102.68534375 |
transcript.pyannote[326].speaker |
SPEAKER_13 |
transcript.pyannote[326].start |
3102.80346875 |
transcript.pyannote[326].end |
3105.30096875 |
transcript.pyannote[327].speaker |
SPEAKER_13 |
transcript.pyannote[327].start |
3105.79034375 |
transcript.pyannote[327].end |
3107.24159375 |
transcript.pyannote[328].speaker |
SPEAKER_13 |
transcript.pyannote[328].start |
3107.51159375 |
transcript.pyannote[328].end |
3109.70534375 |
transcript.pyannote[329].speaker |
SPEAKER_13 |
transcript.pyannote[329].start |
3109.97534375 |
transcript.pyannote[329].end |
3112.33784375 |
transcript.pyannote[330].speaker |
SPEAKER_13 |
transcript.pyannote[330].start |
3112.65846875 |
transcript.pyannote[330].end |
3114.49784375 |
transcript.pyannote[331].speaker |
SPEAKER_13 |
transcript.pyannote[331].start |
3115.10534375 |
transcript.pyannote[331].end |
3117.48471875 |
transcript.pyannote[332].speaker |
SPEAKER_13 |
transcript.pyannote[332].start |
3117.72096875 |
transcript.pyannote[332].end |
3119.32409375 |
transcript.pyannote[333].speaker |
SPEAKER_13 |
transcript.pyannote[333].start |
3119.49284375 |
transcript.pyannote[333].end |
3120.47159375 |
transcript.pyannote[334].speaker |
SPEAKER_13 |
transcript.pyannote[334].start |
3120.92721875 |
transcript.pyannote[334].end |
3123.28971875 |
transcript.pyannote[335].speaker |
SPEAKER_13 |
transcript.pyannote[335].start |
3123.64409375 |
transcript.pyannote[335].end |
3125.38221875 |
transcript.pyannote[336].speaker |
SPEAKER_13 |
transcript.pyannote[336].start |
3125.55096875 |
transcript.pyannote[336].end |
3127.76159375 |
transcript.pyannote[337].speaker |
SPEAKER_13 |
transcript.pyannote[337].start |
3128.04846875 |
transcript.pyannote[337].end |
3131.47409375 |
transcript.pyannote[338].speaker |
SPEAKER_13 |
transcript.pyannote[338].start |
3131.81159375 |
transcript.pyannote[338].end |
3135.67596875 |
transcript.pyannote[339].speaker |
SPEAKER_13 |
transcript.pyannote[339].start |
3135.99659375 |
transcript.pyannote[339].end |
3139.32096875 |
transcript.pyannote[340].speaker |
SPEAKER_13 |
transcript.pyannote[340].start |
3139.81034375 |
transcript.pyannote[340].end |
3141.24471875 |
transcript.pyannote[341].speaker |
SPEAKER_13 |
transcript.pyannote[341].start |
3141.61596875 |
transcript.pyannote[341].end |
3143.77596875 |
transcript.pyannote[342].speaker |
SPEAKER_13 |
transcript.pyannote[342].start |
3144.09659375 |
transcript.pyannote[342].end |
3147.43784375 |
transcript.pyannote[343].speaker |
SPEAKER_13 |
transcript.pyannote[343].start |
3147.82596875 |
transcript.pyannote[343].end |
3149.24346875 |
transcript.pyannote[344].speaker |
SPEAKER_13 |
transcript.pyannote[344].start |
3149.58096875 |
transcript.pyannote[344].end |
3151.52159375 |
transcript.pyannote[345].speaker |
SPEAKER_13 |
transcript.pyannote[345].start |
3151.85909375 |
transcript.pyannote[345].end |
3153.58034375 |
transcript.pyannote[346].speaker |
SPEAKER_13 |
transcript.pyannote[346].start |
3154.74471875 |
transcript.pyannote[346].end |
3157.02284375 |
transcript.pyannote[347].speaker |
SPEAKER_13 |
transcript.pyannote[347].start |
3157.29284375 |
transcript.pyannote[347].end |
3158.89596875 |
transcript.pyannote[348].speaker |
SPEAKER_13 |
transcript.pyannote[348].start |
3159.13221875 |
transcript.pyannote[348].end |
3167.41784375 |
transcript.pyannote[349].speaker |
SPEAKER_13 |
transcript.pyannote[349].start |
3167.72159375 |
transcript.pyannote[349].end |
3169.25721875 |
transcript.pyannote[350].speaker |
SPEAKER_13 |
transcript.pyannote[350].start |
3169.56096875 |
transcript.pyannote[350].end |
3171.90659375 |
transcript.pyannote[351].speaker |
SPEAKER_13 |
transcript.pyannote[351].start |
3172.21034375 |
transcript.pyannote[351].end |
3173.50971875 |
transcript.pyannote[352].speaker |
SPEAKER_13 |
transcript.pyannote[352].start |
3173.96534375 |
transcript.pyannote[352].end |
3175.45034375 |
transcript.pyannote[353].speaker |
SPEAKER_13 |
transcript.pyannote[353].start |
3175.73721875 |
transcript.pyannote[353].end |
3178.40346875 |
transcript.pyannote[354].speaker |
SPEAKER_13 |
transcript.pyannote[354].start |
3178.62284375 |
transcript.pyannote[354].end |
3180.68159375 |
transcript.pyannote[355].speaker |
SPEAKER_13 |
transcript.pyannote[355].start |
3180.90096875 |
transcript.pyannote[355].end |
3182.35221875 |
transcript.pyannote[356].speaker |
SPEAKER_13 |
transcript.pyannote[356].start |
3182.80784375 |
transcript.pyannote[356].end |
3185.35596875 |
transcript.pyannote[357].speaker |
SPEAKER_13 |
transcript.pyannote[357].start |
3185.67659375 |
transcript.pyannote[357].end |
3187.46534375 |
transcript.pyannote[358].speaker |
SPEAKER_13 |
transcript.pyannote[358].start |
3187.68471875 |
transcript.pyannote[358].end |
3189.35534375 |
transcript.pyannote[359].speaker |
SPEAKER_13 |
transcript.pyannote[359].start |
3190.03034375 |
transcript.pyannote[359].end |
3190.72221875 |
transcript.pyannote[360].speaker |
SPEAKER_13 |
transcript.pyannote[360].start |
3191.48159375 |
transcript.pyannote[360].end |
3192.51096875 |
transcript.pyannote[361].speaker |
SPEAKER_13 |
transcript.pyannote[361].start |
3192.57846875 |
transcript.pyannote[361].end |
3194.62034375 |
transcript.pyannote[362].speaker |
SPEAKER_13 |
transcript.pyannote[362].start |
3194.72159375 |
transcript.pyannote[362].end |
3196.24034375 |
transcript.pyannote[363].speaker |
SPEAKER_13 |
transcript.pyannote[363].start |
3196.42596875 |
transcript.pyannote[363].end |
3199.05846875 |
transcript.pyannote[364].speaker |
SPEAKER_13 |
transcript.pyannote[364].start |
3199.32846875 |
transcript.pyannote[364].end |
3200.69534375 |
transcript.pyannote[365].speaker |
SPEAKER_13 |
transcript.pyannote[365].start |
3200.96534375 |
transcript.pyannote[365].end |
3202.60221875 |
transcript.pyannote[366].speaker |
SPEAKER_13 |
transcript.pyannote[366].start |
3202.80471875 |
transcript.pyannote[366].end |
3204.71159375 |
transcript.pyannote[367].speaker |
SPEAKER_13 |
transcript.pyannote[367].start |
3204.96471875 |
transcript.pyannote[367].end |
3206.98971875 |
transcript.pyannote[368].speaker |
SPEAKER_13 |
transcript.pyannote[368].start |
3207.32721875 |
transcript.pyannote[368].end |
3208.71096875 |
transcript.pyannote[369].speaker |
SPEAKER_13 |
transcript.pyannote[369].start |
3208.98096875 |
transcript.pyannote[369].end |
3210.65159375 |
transcript.pyannote[370].speaker |
SPEAKER_13 |
transcript.pyannote[370].start |
3211.09034375 |
transcript.pyannote[370].end |
3214.26284375 |
transcript.pyannote[371].speaker |
SPEAKER_13 |
transcript.pyannote[371].start |
3214.58346875 |
transcript.pyannote[371].end |
3217.94159375 |
transcript.pyannote[372].speaker |
SPEAKER_13 |
transcript.pyannote[372].start |
3218.63346875 |
transcript.pyannote[372].end |
3220.65846875 |
transcript.pyannote[373].speaker |
SPEAKER_13 |
transcript.pyannote[373].start |
3220.81034375 |
transcript.pyannote[373].end |
3222.48096875 |
transcript.pyannote[374].speaker |
SPEAKER_13 |
transcript.pyannote[374].start |
3222.61596875 |
transcript.pyannote[374].end |
3225.04596875 |
transcript.pyannote[375].speaker |
SPEAKER_13 |
transcript.pyannote[375].start |
3225.21471875 |
transcript.pyannote[375].end |
3226.86846875 |
transcript.pyannote[376].speaker |
SPEAKER_13 |
transcript.pyannote[376].start |
3228.16784375 |
transcript.pyannote[376].end |
3231.52596875 |
transcript.pyannote[377].speaker |
SPEAKER_13 |
transcript.pyannote[377].start |
3231.77909375 |
transcript.pyannote[377].end |
3234.49596875 |
transcript.pyannote[378].speaker |
SPEAKER_13 |
transcript.pyannote[378].start |
3234.85034375 |
transcript.pyannote[378].end |
3236.41971875 |
transcript.pyannote[379].speaker |
SPEAKER_13 |
transcript.pyannote[379].start |
3236.79096875 |
transcript.pyannote[379].end |
3239.23784375 |
transcript.pyannote[380].speaker |
SPEAKER_13 |
transcript.pyannote[380].start |
3239.60909375 |
transcript.pyannote[380].end |
3241.24596875 |
transcript.pyannote[381].speaker |
SPEAKER_13 |
transcript.pyannote[381].start |
3241.44846875 |
transcript.pyannote[381].end |
3242.56221875 |
transcript.pyannote[382].speaker |
SPEAKER_13 |
transcript.pyannote[382].start |
3242.59596875 |
transcript.pyannote[382].end |
3245.29596875 |
transcript.pyannote[383].speaker |
SPEAKER_13 |
transcript.pyannote[383].start |
3245.81909375 |
transcript.pyannote[383].end |
3250.47659375 |
transcript.pyannote[384].speaker |
SPEAKER_13 |
transcript.pyannote[384].start |
3250.91534375 |
transcript.pyannote[384].end |
3252.40034375 |
transcript.pyannote[385].speaker |
SPEAKER_13 |
transcript.pyannote[385].start |
3252.72096875 |
transcript.pyannote[385].end |
3254.88096875 |
transcript.pyannote[386].speaker |
SPEAKER_13 |
transcript.pyannote[386].start |
3254.94846875 |
transcript.pyannote[386].end |
3257.68221875 |
transcript.pyannote[387].speaker |
SPEAKER_13 |
transcript.pyannote[387].start |
3258.08721875 |
transcript.pyannote[387].end |
3259.63971875 |
transcript.pyannote[388].speaker |
SPEAKER_13 |
transcript.pyannote[388].start |
3259.87596875 |
transcript.pyannote[388].end |
3262.87971875 |
transcript.pyannote[389].speaker |
SPEAKER_13 |
transcript.pyannote[389].start |
3263.33534375 |
transcript.pyannote[389].end |
3264.85409375 |
transcript.pyannote[390].speaker |
SPEAKER_13 |
transcript.pyannote[390].start |
3265.14096875 |
transcript.pyannote[390].end |
3267.53721875 |
transcript.pyannote[391].speaker |
SPEAKER_13 |
transcript.pyannote[391].start |
3268.00971875 |
transcript.pyannote[391].end |
3269.49471875 |
transcript.pyannote[392].speaker |
SPEAKER_13 |
transcript.pyannote[392].start |
3269.79846875 |
transcript.pyannote[392].end |
3271.84034375 |
transcript.pyannote[393].speaker |
SPEAKER_13 |
transcript.pyannote[393].start |
3272.86971875 |
transcript.pyannote[393].end |
3274.01721875 |
transcript.pyannote[394].speaker |
SPEAKER_13 |
transcript.pyannote[394].start |
3274.60784375 |
transcript.pyannote[394].end |
3277.98284375 |
transcript.pyannote[395].speaker |
SPEAKER_13 |
transcript.pyannote[395].start |
3278.67471875 |
transcript.pyannote[395].end |
3282.33659375 |
transcript.pyannote[396].speaker |
SPEAKER_13 |
transcript.pyannote[396].start |
3283.36596875 |
transcript.pyannote[396].end |
3289.74471875 |
transcript.pyannote[397].speaker |
SPEAKER_13 |
transcript.pyannote[397].start |
3290.30159375 |
transcript.pyannote[397].end |
3293.30534375 |
transcript.pyannote[398].speaker |
SPEAKER_13 |
transcript.pyannote[398].start |
3293.49096875 |
transcript.pyannote[398].end |
3295.63409375 |
transcript.pyannote[399].speaker |
SPEAKER_13 |
transcript.pyannote[399].start |
3297.60846875 |
transcript.pyannote[399].end |
3298.89096875 |
transcript.pyannote[400].speaker |
SPEAKER_13 |
transcript.pyannote[400].start |
3299.26221875 |
transcript.pyannote[400].end |
3304.59471875 |
transcript.pyannote[401].speaker |
SPEAKER_13 |
transcript.pyannote[401].start |
3305.23596875 |
transcript.pyannote[401].end |
3309.04971875 |
transcript.pyannote[402].speaker |
SPEAKER_13 |
transcript.pyannote[402].start |
3309.57284375 |
transcript.pyannote[402].end |
3312.05346875 |
transcript.pyannote[403].speaker |
SPEAKER_13 |
transcript.pyannote[403].start |
3312.27284375 |
transcript.pyannote[403].end |
3315.36096875 |
transcript.pyannote[404].speaker |
SPEAKER_13 |
transcript.pyannote[404].start |
3315.83346875 |
transcript.pyannote[404].end |
3317.52096875 |
transcript.pyannote[405].speaker |
SPEAKER_13 |
transcript.pyannote[405].start |
3317.92596875 |
transcript.pyannote[405].end |
3319.76534375 |
transcript.pyannote[406].speaker |
SPEAKER_13 |
transcript.pyannote[406].start |
3320.01846875 |
transcript.pyannote[406].end |
3322.97159375 |
transcript.pyannote[407].speaker |
SPEAKER_13 |
transcript.pyannote[407].start |
3323.29221875 |
transcript.pyannote[407].end |
3325.11471875 |
transcript.pyannote[408].speaker |
SPEAKER_13 |
transcript.pyannote[408].start |
3325.87409375 |
transcript.pyannote[408].end |
3327.00471875 |
transcript.pyannote[409].speaker |
SPEAKER_13 |
transcript.pyannote[409].start |
3327.24096875 |
transcript.pyannote[409].end |
3328.18596875 |
transcript.pyannote[410].speaker |
SPEAKER_13 |
transcript.pyannote[410].start |
3329.87346875 |
transcript.pyannote[410].end |
3336.37034375 |
transcript.pyannote[411].speaker |
SPEAKER_13 |
transcript.pyannote[411].start |
3336.67409375 |
transcript.pyannote[411].end |
3340.03221875 |
transcript.pyannote[412].speaker |
SPEAKER_13 |
transcript.pyannote[412].start |
3340.48784375 |
transcript.pyannote[412].end |
3343.06971875 |
transcript.pyannote[413].speaker |
SPEAKER_13 |
transcript.pyannote[413].start |
3343.32284375 |
transcript.pyannote[413].end |
3344.67284375 |
transcript.pyannote[414].speaker |
SPEAKER_13 |
transcript.pyannote[414].start |
3345.22971875 |
transcript.pyannote[414].end |
3347.11971875 |
transcript.pyannote[415].speaker |
SPEAKER_13 |
transcript.pyannote[415].start |
3347.76096875 |
transcript.pyannote[415].end |
3349.06034375 |
transcript.pyannote[416].speaker |
SPEAKER_13 |
transcript.pyannote[416].start |
3350.62971875 |
transcript.pyannote[416].end |
3354.24096875 |
transcript.pyannote[417].speaker |
SPEAKER_13 |
transcript.pyannote[417].start |
3355.57409375 |
transcript.pyannote[417].end |
3361.39596875 |
transcript.pyannote[418].speaker |
SPEAKER_13 |
transcript.pyannote[418].start |
3362.47596875 |
transcript.pyannote[418].end |
3366.39096875 |
transcript.pyannote[419].speaker |
SPEAKER_13 |
transcript.pyannote[419].start |
3366.62721875 |
transcript.pyannote[419].end |
3369.83346875 |
transcript.pyannote[420].speaker |
SPEAKER_13 |
transcript.pyannote[420].start |
3370.22159375 |
transcript.pyannote[420].end |
3374.89596875 |
transcript.pyannote[421].speaker |
SPEAKER_13 |
transcript.pyannote[421].start |
3375.80721875 |
transcript.pyannote[421].end |
3376.87034375 |
transcript.pyannote[422].speaker |
SPEAKER_13 |
transcript.pyannote[422].start |
3377.30909375 |
transcript.pyannote[422].end |
3380.36346875 |
transcript.pyannote[423].speaker |
SPEAKER_13 |
transcript.pyannote[423].start |
3381.00471875 |
transcript.pyannote[423].end |
3385.81409375 |
transcript.pyannote[424].speaker |
SPEAKER_13 |
transcript.pyannote[424].start |
3386.25284375 |
transcript.pyannote[424].end |
3388.59846875 |
transcript.pyannote[425].speaker |
SPEAKER_13 |
transcript.pyannote[425].start |
3389.08784375 |
transcript.pyannote[425].end |
3390.38721875 |
transcript.pyannote[426].speaker |
SPEAKER_13 |
transcript.pyannote[426].start |
3390.67409375 |
transcript.pyannote[426].end |
3392.26034375 |
transcript.pyannote[427].speaker |
SPEAKER_13 |
transcript.pyannote[427].start |
3392.46284375 |
transcript.pyannote[427].end |
3394.60596875 |
transcript.pyannote[428].speaker |
SPEAKER_13 |
transcript.pyannote[428].start |
3395.01096875 |
transcript.pyannote[428].end |
3396.79971875 |
transcript.pyannote[429].speaker |
SPEAKER_13 |
transcript.pyannote[429].start |
3397.62659375 |
transcript.pyannote[429].end |
3398.82471875 |
transcript.pyannote[430].speaker |
SPEAKER_13 |
transcript.pyannote[430].start |
3399.48284375 |
transcript.pyannote[430].end |
3401.44034375 |
transcript.pyannote[431].speaker |
SPEAKER_13 |
transcript.pyannote[431].start |
3401.76096875 |
transcript.pyannote[431].end |
3403.31346875 |
transcript.pyannote[432].speaker |
SPEAKER_13 |
transcript.pyannote[432].start |
3403.46534375 |
transcript.pyannote[432].end |
3406.48596875 |
transcript.pyannote[433].speaker |
SPEAKER_13 |
transcript.pyannote[433].start |
3407.00909375 |
transcript.pyannote[433].end |
3411.16034375 |
transcript.pyannote[434].speaker |
SPEAKER_13 |
transcript.pyannote[434].start |
3411.19409375 |
transcript.pyannote[434].end |
3413.72534375 |
transcript.pyannote[435].speaker |
SPEAKER_13 |
transcript.pyannote[435].start |
3413.82659375 |
transcript.pyannote[435].end |
3416.99909375 |
transcript.pyannote[436].speaker |
SPEAKER_13 |
transcript.pyannote[436].start |
3417.11721875 |
transcript.pyannote[436].end |
3417.92721875 |
transcript.pyannote[437].speaker |
SPEAKER_13 |
transcript.pyannote[437].start |
3418.23096875 |
transcript.pyannote[437].end |
3420.03659375 |
transcript.pyannote[438].speaker |
SPEAKER_13 |
transcript.pyannote[438].start |
3420.62721875 |
transcript.pyannote[438].end |
3422.68596875 |
transcript.pyannote[439].speaker |
SPEAKER_13 |
transcript.pyannote[439].start |
3423.07409375 |
transcript.pyannote[439].end |
3428.57534375 |
transcript.pyannote[440].speaker |
SPEAKER_13 |
transcript.pyannote[440].start |
3429.43596875 |
transcript.pyannote[440].end |
3430.63409375 |
transcript.pyannote[441].speaker |
SPEAKER_13 |
transcript.pyannote[441].start |
3432.77721875 |
transcript.pyannote[441].end |
3451.40721875 |
transcript.pyannote[442].speaker |
SPEAKER_07 |
transcript.pyannote[442].start |
3524.44221875 |
transcript.pyannote[442].end |
3565.44846875 |
transcript.pyannote[443].speaker |
SPEAKER_07 |
transcript.pyannote[443].start |
3565.83659375 |
transcript.pyannote[443].end |
3585.58034375 |
transcript.pyannote[444].speaker |
SPEAKER_07 |
transcript.pyannote[444].start |
3585.61409375 |
transcript.pyannote[444].end |
3587.47034375 |
transcript.pyannote[445].speaker |
SPEAKER_07 |
transcript.pyannote[445].start |
3588.11159375 |
transcript.pyannote[445].end |
3590.52471875 |
transcript.pyannote[446].speaker |
SPEAKER_07 |
transcript.pyannote[446].start |
3590.89596875 |
transcript.pyannote[446].end |
3609.57659375 |
transcript.pyannote[447].speaker |
SPEAKER_07 |
transcript.pyannote[447].start |
3609.62721875 |
transcript.pyannote[447].end |
3609.94784375 |
transcript.pyannote[448].speaker |
SPEAKER_03 |
transcript.pyannote[448].start |
3618.87471875 |
transcript.pyannote[448].end |
3620.22471875 |
transcript.pyannote[449].speaker |
SPEAKER_03 |
transcript.pyannote[449].start |
3620.56221875 |
transcript.pyannote[449].end |
3624.07221875 |
transcript.pyannote[450].speaker |
SPEAKER_03 |
transcript.pyannote[450].start |
3624.74721875 |
transcript.pyannote[450].end |
3644.57534375 |
transcript.pyannote[451].speaker |
SPEAKER_03 |
transcript.pyannote[451].start |
3644.65971875 |
transcript.pyannote[451].end |
3646.73534375 |
transcript.pyannote[452].speaker |
SPEAKER_03 |
transcript.pyannote[452].start |
3647.24159375 |
transcript.pyannote[452].end |
3648.16971875 |
transcript.pyannote[453].speaker |
SPEAKER_03 |
transcript.pyannote[453].start |
3648.37221875 |
transcript.pyannote[453].end |
3653.53596875 |
transcript.pyannote[454].speaker |
SPEAKER_03 |
transcript.pyannote[454].start |
3653.67096875 |
transcript.pyannote[454].end |
3676.97534375 |
transcript.pyannote[455].speaker |
SPEAKER_03 |
transcript.pyannote[455].start |
3678.62909375 |
transcript.pyannote[455].end |
3694.74471875 |
transcript.pyannote[456].speaker |
SPEAKER_03 |
transcript.pyannote[456].start |
3695.28471875 |
transcript.pyannote[456].end |
3695.63909375 |
transcript.pyannote[457].speaker |
SPEAKER_03 |
transcript.pyannote[457].start |
3696.21284375 |
transcript.pyannote[457].end |
3696.85409375 |
transcript.pyannote[458].speaker |
SPEAKER_03 |
transcript.pyannote[458].start |
3697.34346875 |
transcript.pyannote[458].end |
3701.96721875 |
transcript.pyannote[459].speaker |
SPEAKER_03 |
transcript.pyannote[459].start |
3702.79409375 |
transcript.pyannote[459].end |
3703.89096875 |
transcript.pyannote[460].speaker |
SPEAKER_03 |
transcript.pyannote[460].start |
3704.38034375 |
transcript.pyannote[460].end |
3705.22409375 |
transcript.pyannote[461].speaker |
SPEAKER_03 |
transcript.pyannote[461].start |
3705.42659375 |
transcript.pyannote[461].end |
3709.49346875 |
transcript.pyannote[462].speaker |
SPEAKER_03 |
transcript.pyannote[462].start |
3709.93221875 |
transcript.pyannote[462].end |
3711.09659375 |
transcript.pyannote[463].speaker |
SPEAKER_03 |
transcript.pyannote[463].start |
3712.04159375 |
transcript.pyannote[463].end |
3713.86409375 |
transcript.pyannote[464].speaker |
SPEAKER_03 |
transcript.pyannote[464].start |
3713.98221875 |
transcript.pyannote[464].end |
3715.12971875 |
transcript.pyannote[465].speaker |
SPEAKER_03 |
transcript.pyannote[465].start |
3715.53471875 |
transcript.pyannote[465].end |
3715.97346875 |
transcript.pyannote[466].speaker |
SPEAKER_03 |
transcript.pyannote[466].start |
3717.01971875 |
transcript.pyannote[466].end |
3717.82971875 |
transcript.pyannote[467].speaker |
SPEAKER_03 |
transcript.pyannote[467].start |
3718.18409375 |
transcript.pyannote[467].end |
3724.66409375 |
transcript.pyannote[468].speaker |
SPEAKER_03 |
transcript.pyannote[468].start |
3726.94221875 |
transcript.pyannote[468].end |
3729.70971875 |
transcript.pyannote[469].speaker |
SPEAKER_03 |
transcript.pyannote[469].start |
3729.77721875 |
transcript.pyannote[469].end |
3733.79346875 |
transcript.pyannote[470].speaker |
SPEAKER_03 |
transcript.pyannote[470].start |
3734.11409375 |
transcript.pyannote[470].end |
3735.90284375 |
transcript.pyannote[471].speaker |
SPEAKER_03 |
transcript.pyannote[471].start |
3736.44284375 |
transcript.pyannote[471].end |
3744.42471875 |
transcript.pyannote[472].speaker |
SPEAKER_03 |
transcript.pyannote[472].start |
3744.96471875 |
transcript.pyannote[472].end |
3750.28034375 |
transcript.pyannote[473].speaker |
SPEAKER_03 |
transcript.pyannote[473].start |
3751.39409375 |
transcript.pyannote[473].end |
3751.95096875 |
transcript.pyannote[474].speaker |
SPEAKER_03 |
transcript.pyannote[474].start |
3752.20409375 |
transcript.pyannote[474].end |
3759.47721875 |
transcript.pyannote[475].speaker |
SPEAKER_03 |
transcript.pyannote[475].start |
3759.52784375 |
transcript.pyannote[475].end |
3764.03346875 |
transcript.pyannote[476].speaker |
SPEAKER_03 |
transcript.pyannote[476].start |
3764.10096875 |
transcript.pyannote[476].end |
3768.18471875 |
transcript.pyannote[477].speaker |
SPEAKER_03 |
transcript.pyannote[477].start |
3768.62346875 |
transcript.pyannote[477].end |
3784.01346875 |
transcript.pyannote[478].speaker |
SPEAKER_03 |
transcript.pyannote[478].start |
3785.80221875 |
transcript.pyannote[478].end |
3794.34096875 |
transcript.pyannote[479].speaker |
SPEAKER_03 |
transcript.pyannote[479].start |
3795.38721875 |
transcript.pyannote[479].end |
3805.39409375 |
transcript.pyannote[480].speaker |
SPEAKER_03 |
transcript.pyannote[480].start |
3806.71034375 |
transcript.pyannote[480].end |
3817.98284375 |
transcript.pyannote[481].speaker |
SPEAKER_03 |
transcript.pyannote[481].start |
3818.59034375 |
transcript.pyannote[481].end |
3821.30721875 |
transcript.pyannote[482].speaker |
SPEAKER_03 |
transcript.pyannote[482].start |
3821.67846875 |
transcript.pyannote[482].end |
3823.14659375 |
transcript.pyannote[483].speaker |
SPEAKER_03 |
transcript.pyannote[483].start |
3823.77096875 |
transcript.pyannote[483].end |
3829.15409375 |
transcript.pyannote[484].speaker |
SPEAKER_03 |
transcript.pyannote[484].start |
3829.55909375 |
transcript.pyannote[484].end |
3831.09471875 |
transcript.pyannote[485].speaker |
SPEAKER_03 |
transcript.pyannote[485].start |
3832.10721875 |
transcript.pyannote[485].end |
3832.84971875 |
transcript.pyannote[486].speaker |
SPEAKER_03 |
transcript.pyannote[486].start |
3833.60909375 |
transcript.pyannote[486].end |
3837.99659375 |
transcript.pyannote[487].speaker |
SPEAKER_03 |
transcript.pyannote[487].start |
3839.88659375 |
transcript.pyannote[487].end |
3840.47721875 |
transcript.pyannote[488].speaker |
SPEAKER_03 |
transcript.pyannote[488].start |
3841.10159375 |
transcript.pyannote[488].end |
3842.31659375 |
transcript.pyannote[489].speaker |
SPEAKER_03 |
transcript.pyannote[489].start |
3842.75534375 |
transcript.pyannote[489].end |
3844.07159375 |
transcript.pyannote[490].speaker |
SPEAKER_03 |
transcript.pyannote[490].start |
3844.67909375 |
transcript.pyannote[490].end |
3845.11784375 |
transcript.pyannote[491].speaker |
SPEAKER_03 |
transcript.pyannote[491].start |
3845.55659375 |
transcript.pyannote[491].end |
3861.31784375 |
transcript.pyannote[492].speaker |
SPEAKER_03 |
transcript.pyannote[492].start |
3862.46534375 |
transcript.pyannote[492].end |
3864.76034375 |
transcript.pyannote[493].speaker |
SPEAKER_03 |
transcript.pyannote[493].start |
3865.14846875 |
transcript.pyannote[493].end |
3869.16471875 |
transcript.pyannote[494].speaker |
SPEAKER_03 |
transcript.pyannote[494].start |
3870.31221875 |
transcript.pyannote[494].end |
3890.41034375 |
transcript.pyannote[495].speaker |
SPEAKER_03 |
transcript.pyannote[495].start |
3890.93346875 |
transcript.pyannote[495].end |
3892.08096875 |
transcript.pyannote[496].speaker |
SPEAKER_03 |
transcript.pyannote[496].start |
3892.26659375 |
transcript.pyannote[496].end |
3892.95846875 |
transcript.pyannote[497].speaker |
SPEAKER_03 |
transcript.pyannote[497].start |
3893.36346875 |
transcript.pyannote[497].end |
3897.68346875 |
transcript.pyannote[498].speaker |
SPEAKER_03 |
transcript.pyannote[498].start |
3897.71721875 |
transcript.pyannote[498].end |
3897.75096875 |
transcript.pyannote[499].speaker |
SPEAKER_03 |
transcript.pyannote[499].start |
3897.80159375 |
transcript.pyannote[499].end |
3903.04971875 |
transcript.pyannote[500].speaker |
SPEAKER_03 |
transcript.pyannote[500].start |
3903.31971875 |
transcript.pyannote[500].end |
3907.11659375 |
transcript.pyannote[501].speaker |
SPEAKER_03 |
transcript.pyannote[501].start |
3907.58909375 |
transcript.pyannote[501].end |
3912.51659375 |
transcript.pyannote[502].speaker |
SPEAKER_03 |
transcript.pyannote[502].start |
3912.56721875 |
transcript.pyannote[502].end |
3916.93784375 |
transcript.pyannote[503].speaker |
SPEAKER_03 |
transcript.pyannote[503].start |
3917.57909375 |
transcript.pyannote[503].end |
3917.91659375 |
transcript.pyannote[504].speaker |
SPEAKER_03 |
transcript.pyannote[504].start |
3918.54096875 |
transcript.pyannote[504].end |
3920.26221875 |
transcript.pyannote[505].speaker |
SPEAKER_03 |
transcript.pyannote[505].start |
3920.54909375 |
transcript.pyannote[505].end |
3929.77971875 |
transcript.pyannote[506].speaker |
SPEAKER_03 |
transcript.pyannote[506].start |
3930.33659375 |
transcript.pyannote[506].end |
3931.51784375 |
transcript.pyannote[507].speaker |
SPEAKER_03 |
transcript.pyannote[507].start |
3932.26034375 |
transcript.pyannote[507].end |
3956.12159375 |
transcript.pyannote[508].speaker |
SPEAKER_03 |
transcript.pyannote[508].start |
3956.59409375 |
transcript.pyannote[508].end |
3958.65284375 |
transcript.pyannote[509].speaker |
SPEAKER_03 |
transcript.pyannote[509].start |
3959.47971875 |
transcript.pyannote[509].end |
3974.97096875 |
transcript.pyannote[510].speaker |
SPEAKER_03 |
transcript.pyannote[510].start |
3976.08471875 |
transcript.pyannote[510].end |
3996.11534375 |
transcript.pyannote[511].speaker |
SPEAKER_03 |
transcript.pyannote[511].start |
3997.17846875 |
transcript.pyannote[511].end |
4009.71659375 |
transcript.pyannote[512].speaker |
SPEAKER_03 |
transcript.pyannote[512].start |
4010.56034375 |
transcript.pyannote[512].end |
4021.83284375 |
transcript.pyannote[513].speaker |
SPEAKER_03 |
transcript.pyannote[513].start |
4022.40659375 |
transcript.pyannote[513].end |
4045.50846875 |
transcript.pyannote[514].speaker |
SPEAKER_03 |
transcript.pyannote[514].start |
4047.11159375 |
transcript.pyannote[514].end |
4073.48721875 |
transcript.pyannote[515].speaker |
SPEAKER_03 |
transcript.pyannote[515].start |
4073.63909375 |
transcript.pyannote[515].end |
4075.81596875 |
transcript.pyannote[516].speaker |
SPEAKER_03 |
transcript.pyannote[516].start |
4075.86659375 |
transcript.pyannote[516].end |
4080.59159375 |
transcript.pyannote[517].speaker |
SPEAKER_03 |
transcript.pyannote[517].start |
4080.96284375 |
transcript.pyannote[517].end |
4086.26159375 |
transcript.pyannote[518].speaker |
SPEAKER_03 |
transcript.pyannote[518].start |
4087.08846875 |
transcript.pyannote[518].end |
4091.89784375 |
transcript.pyannote[519].speaker |
SPEAKER_03 |
transcript.pyannote[519].start |
4092.43784375 |
transcript.pyannote[519].end |
4093.21409375 |
transcript.pyannote[520].speaker |
SPEAKER_03 |
transcript.pyannote[520].start |
4093.48409375 |
transcript.pyannote[520].end |
4114.86471875 |
transcript.pyannote[521].speaker |
SPEAKER_03 |
transcript.pyannote[521].start |
4115.21909375 |
transcript.pyannote[521].end |
4119.25221875 |
transcript.pyannote[522].speaker |
SPEAKER_03 |
transcript.pyannote[522].start |
4119.87659375 |
transcript.pyannote[522].end |
4137.29159375 |
transcript.pyannote[523].speaker |
SPEAKER_03 |
transcript.pyannote[523].start |
4137.81471875 |
transcript.pyannote[523].end |
4155.12846875 |
transcript.pyannote[524].speaker |
SPEAKER_03 |
transcript.pyannote[524].start |
4155.70221875 |
transcript.pyannote[524].end |
4168.67909375 |
transcript.pyannote[525].speaker |
SPEAKER_03 |
transcript.pyannote[525].start |
4169.26971875 |
transcript.pyannote[525].end |
4170.31596875 |
transcript.pyannote[526].speaker |
SPEAKER_03 |
transcript.pyannote[526].start |
4171.46346875 |
transcript.pyannote[526].end |
4182.76971875 |
transcript.pyannote[527].speaker |
SPEAKER_03 |
transcript.pyannote[527].start |
4182.83721875 |
transcript.pyannote[527].end |
4187.59596875 |
transcript.pyannote[528].speaker |
SPEAKER_03 |
transcript.pyannote[528].start |
4188.57471875 |
transcript.pyannote[528].end |
4192.13534375 |
transcript.pyannote[529].speaker |
SPEAKER_03 |
transcript.pyannote[529].start |
4192.32096875 |
transcript.pyannote[529].end |
4208.72346875 |
transcript.pyannote[530].speaker |
SPEAKER_03 |
transcript.pyannote[530].start |
4209.53346875 |
transcript.pyannote[530].end |
4212.21659375 |
transcript.pyannote[531].speaker |
SPEAKER_03 |
transcript.pyannote[531].start |
4212.94221875 |
transcript.pyannote[531].end |
4213.34721875 |
transcript.pyannote[532].speaker |
SPEAKER_03 |
transcript.pyannote[532].start |
4214.17409375 |
transcript.pyannote[532].end |
4226.32409375 |
transcript.pyannote[533].speaker |
SPEAKER_03 |
transcript.pyannote[533].start |
4226.96534375 |
transcript.pyannote[533].end |
4247.50221875 |
transcript.pyannote[534].speaker |
SPEAKER_03 |
transcript.pyannote[534].start |
4247.95784375 |
transcript.pyannote[534].end |
4262.75721875 |
transcript.pyannote[535].speaker |
SPEAKER_03 |
transcript.pyannote[535].start |
4262.82471875 |
transcript.pyannote[535].end |
4265.28846875 |
transcript.pyannote[536].speaker |
SPEAKER_03 |
transcript.pyannote[536].start |
4265.98034375 |
transcript.pyannote[536].end |
4271.63346875 |
transcript.pyannote[537].speaker |
SPEAKER_03 |
transcript.pyannote[537].start |
4272.73034375 |
transcript.pyannote[537].end |
4274.77221875 |
transcript.pyannote[538].speaker |
SPEAKER_03 |
transcript.pyannote[538].start |
4275.26159375 |
transcript.pyannote[538].end |
4279.22721875 |
transcript.pyannote[539].speaker |
SPEAKER_03 |
transcript.pyannote[539].start |
4279.83471875 |
transcript.pyannote[539].end |
4293.53721875 |
transcript.pyannote[540].speaker |
SPEAKER_03 |
transcript.pyannote[540].start |
4294.36409375 |
transcript.pyannote[540].end |
4304.08409375 |
transcript.pyannote[541].speaker |
SPEAKER_03 |
transcript.pyannote[541].start |
4304.28659375 |
transcript.pyannote[541].end |
4311.07034375 |
transcript.pyannote[542].speaker |
SPEAKER_03 |
transcript.pyannote[542].start |
4311.47534375 |
transcript.pyannote[542].end |
4315.00221875 |
transcript.pyannote[543].speaker |
SPEAKER_03 |
transcript.pyannote[543].start |
4316.04846875 |
transcript.pyannote[543].end |
4321.61721875 |
transcript.pyannote[544].speaker |
SPEAKER_03 |
transcript.pyannote[544].start |
4322.27534375 |
transcript.pyannote[544].end |
4325.92034375 |
transcript.pyannote[545].speaker |
SPEAKER_03 |
transcript.pyannote[545].start |
4326.30846875 |
transcript.pyannote[545].end |
4329.93659375 |
transcript.pyannote[546].speaker |
SPEAKER_03 |
transcript.pyannote[546].start |
4330.62846875 |
transcript.pyannote[546].end |
4335.97784375 |
transcript.pyannote[547].speaker |
SPEAKER_03 |
transcript.pyannote[547].start |
4336.56846875 |
transcript.pyannote[547].end |
4339.04909375 |
transcript.pyannote[548].speaker |
SPEAKER_03 |
transcript.pyannote[548].start |
4339.16721875 |
transcript.pyannote[548].end |
4341.24284375 |
transcript.pyannote[549].speaker |
SPEAKER_03 |
transcript.pyannote[549].start |
4341.61409375 |
transcript.pyannote[549].end |
4343.47034375 |
transcript.pyannote[550].speaker |
SPEAKER_03 |
transcript.pyannote[550].start |
4344.26346875 |
transcript.pyannote[550].end |
4346.15346875 |
transcript.pyannote[551].speaker |
SPEAKER_03 |
transcript.pyannote[551].start |
4346.84534375 |
transcript.pyannote[551].end |
4353.13971875 |
transcript.pyannote[552].speaker |
SPEAKER_03 |
transcript.pyannote[552].start |
4354.28721875 |
transcript.pyannote[552].end |
4366.40346875 |
transcript.pyannote[553].speaker |
SPEAKER_03 |
transcript.pyannote[553].start |
4366.97721875 |
transcript.pyannote[553].end |
4380.22409375 |
transcript.pyannote[554].speaker |
SPEAKER_03 |
transcript.pyannote[554].start |
4381.47284375 |
transcript.pyannote[554].end |
4385.43846875 |
transcript.pyannote[555].speaker |
SPEAKER_03 |
transcript.pyannote[555].start |
4385.99534375 |
transcript.pyannote[555].end |
4388.47596875 |
transcript.pyannote[556].speaker |
SPEAKER_03 |
transcript.pyannote[556].start |
4388.76284375 |
transcript.pyannote[556].end |
4393.04909375 |
transcript.pyannote[557].speaker |
SPEAKER_03 |
transcript.pyannote[557].start |
4393.58909375 |
transcript.pyannote[557].end |
4401.45284375 |
transcript.pyannote[558].speaker |
SPEAKER_03 |
transcript.pyannote[558].start |
4403.83221875 |
transcript.pyannote[558].end |
4404.94596875 |
transcript.pyannote[559].speaker |
SPEAKER_03 |
transcript.pyannote[559].start |
4406.02596875 |
transcript.pyannote[559].end |
4407.37596875 |
transcript.pyannote[560].speaker |
SPEAKER_03 |
transcript.pyannote[560].start |
4408.05096875 |
transcript.pyannote[560].end |
4408.59096875 |
transcript.pyannote[561].speaker |
SPEAKER_03 |
transcript.pyannote[561].start |
4409.85659375 |
transcript.pyannote[561].end |
4410.51471875 |
transcript.pyannote[562].speaker |
SPEAKER_03 |
transcript.pyannote[562].start |
4410.81846875 |
transcript.pyannote[562].end |
4420.03221875 |
transcript.pyannote[563].speaker |
SPEAKER_03 |
transcript.pyannote[563].start |
4420.87596875 |
transcript.pyannote[563].end |
4430.25846875 |
transcript.pyannote[564].speaker |
SPEAKER_03 |
transcript.pyannote[564].start |
4430.46096875 |
transcript.pyannote[564].end |
4458.32159375 |
transcript.pyannote[565].speaker |
SPEAKER_03 |
transcript.pyannote[565].start |
4459.23284375 |
transcript.pyannote[565].end |
4459.73909375 |
transcript.pyannote[566].speaker |
SPEAKER_03 |
transcript.pyannote[566].start |
4460.24534375 |
transcript.pyannote[566].end |
4461.66284375 |
transcript.pyannote[567].speaker |
SPEAKER_07 |
transcript.pyannote[567].start |
4464.71721875 |
transcript.pyannote[567].end |
4466.64096875 |
transcript.pyannote[568].speaker |
SPEAKER_07 |
transcript.pyannote[568].start |
4467.09659375 |
transcript.pyannote[568].end |
4478.68971875 |
transcript.pyannote[569].speaker |
SPEAKER_07 |
transcript.pyannote[569].start |
4479.04409375 |
transcript.pyannote[569].end |
4490.89034375 |
transcript.pyannote[570].speaker |
SPEAKER_07 |
transcript.pyannote[570].start |
4491.58221875 |
transcript.pyannote[570].end |
4498.72034375 |
transcript.pyannote[571].speaker |
SPEAKER_07 |
transcript.pyannote[571].start |
4885.52909375 |
transcript.pyannote[571].end |
4886.87909375 |
transcript.pyannote[572].speaker |
SPEAKER_07 |
transcript.pyannote[572].start |
4887.23346875 |
transcript.pyannote[572].end |
4914.80721875 |
transcript.pyannote[573].speaker |
SPEAKER_07 |
transcript.pyannote[573].start |
6549.70784375 |
transcript.pyannote[573].end |
6550.48409375 |
transcript.pyannote[574].speaker |
SPEAKER_07 |
transcript.pyannote[574].start |
6551.07471875 |
transcript.pyannote[574].end |
6552.79596875 |
transcript.pyannote[575].speaker |
SPEAKER_07 |
transcript.pyannote[575].start |
6553.16721875 |
transcript.pyannote[575].end |
6560.17034375 |
transcript.pyannote[576].speaker |
SPEAKER_07 |
transcript.pyannote[576].start |
6562.27971875 |
transcript.pyannote[576].end |
6565.36784375 |
transcript.pyannote[577].speaker |
SPEAKER_11 |
transcript.pyannote[577].start |
6569.09721875 |
transcript.pyannote[577].end |
6571.59471875 |
transcript.pyannote[578].speaker |
SPEAKER_07 |
transcript.pyannote[578].start |
6571.61159375 |
transcript.pyannote[578].end |
6572.40471875 |
transcript.pyannote[579].speaker |
SPEAKER_11 |
transcript.pyannote[579].start |
6571.69596875 |
transcript.pyannote[579].end |
6572.21909375 |
transcript.pyannote[580].speaker |
SPEAKER_07 |
transcript.pyannote[580].start |
6577.55159375 |
transcript.pyannote[580].end |
6577.58534375 |
transcript.pyannote[581].speaker |
SPEAKER_03 |
transcript.pyannote[581].start |
6577.58534375 |
transcript.pyannote[581].end |
6577.97346875 |
transcript.pyannote[582].speaker |
SPEAKER_07 |
transcript.pyannote[582].start |
6577.97346875 |
transcript.pyannote[582].end |
6578.29409375 |
transcript.pyannote[583].speaker |
SPEAKER_03 |
transcript.pyannote[583].start |
6578.29409375 |
transcript.pyannote[583].end |
6578.36159375 |
transcript.pyannote[584].speaker |
SPEAKER_11 |
transcript.pyannote[584].start |
6578.36159375 |
transcript.pyannote[584].end |
6611.18346875 |
transcript.pyannote[585].speaker |
SPEAKER_11 |
transcript.pyannote[585].start |
6611.31846875 |
transcript.pyannote[585].end |
6615.41909375 |
transcript.pyannote[586].speaker |
SPEAKER_03 |
transcript.pyannote[586].start |
6616.02659375 |
transcript.pyannote[586].end |
6634.13346875 |
transcript.pyannote[587].speaker |
SPEAKER_14 |
transcript.pyannote[587].start |
6622.91159375 |
transcript.pyannote[587].end |
6623.09721875 |
transcript.pyannote[588].speaker |
SPEAKER_11 |
transcript.pyannote[588].start |
6634.13346875 |
transcript.pyannote[588].end |
6652.86471875 |
transcript.pyannote[589].speaker |
SPEAKER_14 |
transcript.pyannote[589].start |
6640.34346875 |
transcript.pyannote[589].end |
6640.74846875 |
transcript.pyannote[590].speaker |
SPEAKER_11 |
transcript.pyannote[590].start |
6653.01659375 |
transcript.pyannote[590].end |
6655.24409375 |
transcript.pyannote[591].speaker |
SPEAKER_11 |
transcript.pyannote[591].start |
6655.63221875 |
transcript.pyannote[591].end |
6656.34096875 |
transcript.pyannote[592].speaker |
SPEAKER_11 |
transcript.pyannote[592].start |
6656.62784375 |
transcript.pyannote[592].end |
6678.00846875 |
transcript.pyannote[593].speaker |
SPEAKER_11 |
transcript.pyannote[593].start |
6678.32909375 |
transcript.pyannote[593].end |
6681.24846875 |
transcript.pyannote[594].speaker |
SPEAKER_11 |
transcript.pyannote[594].start |
6681.77159375 |
transcript.pyannote[594].end |
6687.30659375 |
transcript.pyannote[595].speaker |
SPEAKER_06 |
transcript.pyannote[595].start |
6687.30659375 |
transcript.pyannote[595].end |
6687.69471875 |
transcript.pyannote[596].speaker |
SPEAKER_11 |
transcript.pyannote[596].start |
6687.62721875 |
transcript.pyannote[596].end |
6704.70471875 |
transcript.pyannote[597].speaker |
SPEAKER_00 |
transcript.pyannote[597].start |
6700.36784375 |
transcript.pyannote[597].end |
6700.77284375 |
transcript.pyannote[598].speaker |
SPEAKER_03 |
transcript.pyannote[598].start |
6702.20721875 |
transcript.pyannote[598].end |
6702.52784375 |
transcript.pyannote[599].speaker |
SPEAKER_03 |
transcript.pyannote[599].start |
6706.02096875 |
transcript.pyannote[599].end |
6708.99096875 |
transcript.pyannote[600].speaker |
SPEAKER_11 |
transcript.pyannote[600].start |
6708.75471875 |
transcript.pyannote[600].end |
6713.76659375 |
transcript.pyannote[601].speaker |
SPEAKER_03 |
transcript.pyannote[601].start |
6709.80096875 |
transcript.pyannote[601].end |
6710.35784375 |
transcript.pyannote[602].speaker |
SPEAKER_11 |
transcript.pyannote[602].start |
6713.96909375 |
transcript.pyannote[602].end |
6718.40721875 |
transcript.pyannote[603].speaker |
SPEAKER_03 |
transcript.pyannote[603].start |
6716.87159375 |
transcript.pyannote[603].end |
6717.29346875 |
transcript.pyannote[604].speaker |
SPEAKER_03 |
transcript.pyannote[604].start |
6718.40721875 |
transcript.pyannote[604].end |
6741.77909375 |
transcript.pyannote[605].speaker |
SPEAKER_11 |
transcript.pyannote[605].start |
6737.12159375 |
transcript.pyannote[605].end |
6737.35784375 |
transcript.pyannote[606].speaker |
SPEAKER_11 |
transcript.pyannote[606].start |
6739.90596875 |
transcript.pyannote[606].end |
6803.01846875 |
transcript.pyannote[607].speaker |
SPEAKER_03 |
transcript.pyannote[607].start |
6743.28096875 |
transcript.pyannote[607].end |
6743.80409375 |
transcript.pyannote[608].speaker |
SPEAKER_00 |
transcript.pyannote[608].start |
6749.13659375 |
transcript.pyannote[608].end |
6749.60909375 |
transcript.pyannote[609].speaker |
SPEAKER_00 |
transcript.pyannote[609].start |
6751.78596875 |
transcript.pyannote[609].end |
6752.03909375 |
transcript.pyannote[610].speaker |
SPEAKER_01 |
transcript.pyannote[610].start |
6752.03909375 |
transcript.pyannote[610].end |
6752.22471875 |
transcript.pyannote[611].speaker |
SPEAKER_00 |
transcript.pyannote[611].start |
6752.22471875 |
transcript.pyannote[611].end |
6752.32596875 |
transcript.pyannote[612].speaker |
SPEAKER_03 |
transcript.pyannote[612].start |
6803.05221875 |
transcript.pyannote[612].end |
6849.94784375 |
transcript.pyannote[613].speaker |
SPEAKER_11 |
transcript.pyannote[613].start |
6819.92721875 |
transcript.pyannote[613].end |
6820.38284375 |
transcript.pyannote[614].speaker |
SPEAKER_11 |
transcript.pyannote[614].start |
6846.64034375 |
transcript.pyannote[614].end |
6848.12534375 |
transcript.pyannote[615].speaker |
SPEAKER_11 |
transcript.pyannote[615].start |
6849.40784375 |
transcript.pyannote[615].end |
6859.71846875 |
transcript.pyannote[616].speaker |
SPEAKER_11 |
transcript.pyannote[616].start |
6859.93784375 |
transcript.pyannote[616].end |
6864.96659375 |
transcript.pyannote[617].speaker |
SPEAKER_03 |
transcript.pyannote[617].start |
6862.36784375 |
transcript.pyannote[617].end |
6862.73909375 |
transcript.pyannote[618].speaker |
SPEAKER_03 |
transcript.pyannote[618].start |
6863.12721875 |
transcript.pyannote[618].end |
6863.58284375 |
transcript.pyannote[619].speaker |
SPEAKER_03 |
transcript.pyannote[619].start |
6864.49409375 |
transcript.pyannote[619].end |
6870.28221875 |
transcript.pyannote[620].speaker |
SPEAKER_03 |
transcript.pyannote[620].start |
6870.63659375 |
transcript.pyannote[620].end |
6870.90659375 |
transcript.pyannote[621].speaker |
SPEAKER_11 |
transcript.pyannote[621].start |
6870.90659375 |
transcript.pyannote[621].end |
6871.29471875 |
transcript.pyannote[622].speaker |
SPEAKER_03 |
transcript.pyannote[622].start |
6871.29471875 |
transcript.pyannote[622].end |
6872.34096875 |
transcript.pyannote[623].speaker |
SPEAKER_11 |
transcript.pyannote[623].start |
6871.61534375 |
transcript.pyannote[623].end |
6875.02409375 |
transcript.pyannote[624].speaker |
SPEAKER_03 |
transcript.pyannote[624].start |
6874.04534375 |
transcript.pyannote[624].end |
6877.04909375 |
transcript.pyannote[625].speaker |
SPEAKER_07 |
transcript.pyannote[625].start |
6878.85471875 |
transcript.pyannote[625].end |
6883.59659375 |
transcript.pyannote[626].speaker |
SPEAKER_07 |
transcript.pyannote[626].start |
6888.54096875 |
transcript.pyannote[626].end |
6892.86096875 |
transcript.pyannote[627].speaker |
SPEAKER_12 |
transcript.pyannote[627].start |
6896.67471875 |
transcript.pyannote[627].end |
6899.30721875 |
transcript.pyannote[628].speaker |
SPEAKER_07 |
transcript.pyannote[628].start |
6899.30721875 |
transcript.pyannote[628].end |
6900.04971875 |
transcript.pyannote[629].speaker |
SPEAKER_12 |
transcript.pyannote[629].start |
6905.21346875 |
transcript.pyannote[629].end |
6995.24159375 |
transcript.pyannote[630].speaker |
SPEAKER_12 |
transcript.pyannote[630].start |
6995.71409375 |
transcript.pyannote[630].end |
7026.64596875 |
transcript.pyannote[631].speaker |
SPEAKER_03 |
transcript.pyannote[631].start |
7026.19034375 |
transcript.pyannote[631].end |
7078.33409375 |
transcript.pyannote[632].speaker |
SPEAKER_06 |
transcript.pyannote[632].start |
7037.10846875 |
transcript.pyannote[632].end |
7037.51346875 |
transcript.pyannote[633].speaker |
SPEAKER_06 |
transcript.pyannote[633].start |
7043.60534375 |
transcript.pyannote[633].end |
7043.70659375 |
transcript.pyannote[634].speaker |
SPEAKER_12 |
transcript.pyannote[634].start |
7043.70659375 |
transcript.pyannote[634].end |
7043.87534375 |
transcript.pyannote[635].speaker |
SPEAKER_06 |
transcript.pyannote[635].start |
7043.87534375 |
transcript.pyannote[635].end |
7044.06096875 |
transcript.pyannote[636].speaker |
SPEAKER_03 |
transcript.pyannote[636].start |
7078.57034375 |
transcript.pyannote[636].end |
7091.20971875 |
transcript.pyannote[637].speaker |
SPEAKER_03 |
transcript.pyannote[637].start |
7091.80034375 |
transcript.pyannote[637].end |
7092.55971875 |
transcript.pyannote[638].speaker |
SPEAKER_03 |
transcript.pyannote[638].start |
7092.94784375 |
transcript.pyannote[638].end |
7117.68659375 |
transcript.pyannote[639].speaker |
SPEAKER_03 |
transcript.pyannote[639].start |
7117.92284375 |
transcript.pyannote[639].end |
7165.02096875 |
transcript.pyannote[640].speaker |
SPEAKER_00 |
transcript.pyannote[640].start |
7145.49659375 |
transcript.pyannote[640].end |
7145.53034375 |
transcript.pyannote[641].speaker |
SPEAKER_06 |
transcript.pyannote[641].start |
7145.53034375 |
transcript.pyannote[641].end |
7145.58096875 |
transcript.pyannote[642].speaker |
SPEAKER_00 |
transcript.pyannote[642].start |
7145.58096875 |
transcript.pyannote[642].end |
7145.88471875 |
transcript.pyannote[643].speaker |
SPEAKER_00 |
transcript.pyannote[643].start |
7148.85471875 |
transcript.pyannote[643].end |
7149.20909375 |
transcript.pyannote[644].speaker |
SPEAKER_12 |
transcript.pyannote[644].start |
7164.05909375 |
transcript.pyannote[644].end |
7165.59471875 |
transcript.pyannote[645].speaker |
SPEAKER_03 |
transcript.pyannote[645].start |
7165.59471875 |
transcript.pyannote[645].end |
7184.02221875 |
transcript.pyannote[646].speaker |
SPEAKER_12 |
transcript.pyannote[646].start |
7168.26096875 |
transcript.pyannote[646].end |
7168.80096875 |
transcript.pyannote[647].speaker |
SPEAKER_12 |
transcript.pyannote[647].start |
7170.21846875 |
transcript.pyannote[647].end |
7170.43784375 |
transcript.pyannote[648].speaker |
SPEAKER_03 |
transcript.pyannote[648].start |
7184.66346875 |
transcript.pyannote[648].end |
7242.03846875 |
transcript.pyannote[649].speaker |
SPEAKER_12 |
transcript.pyannote[649].start |
7242.03846875 |
transcript.pyannote[649].end |
7290.18284375 |
transcript.pyannote[650].speaker |
SPEAKER_06 |
transcript.pyannote[650].start |
7249.21034375 |
transcript.pyannote[650].end |
7250.22284375 |
transcript.pyannote[651].speaker |
SPEAKER_06 |
transcript.pyannote[651].start |
7254.64409375 |
transcript.pyannote[651].end |
7254.96471875 |
transcript.pyannote[652].speaker |
SPEAKER_03 |
transcript.pyannote[652].start |
7289.45721875 |
transcript.pyannote[652].end |
7292.02221875 |
transcript.pyannote[653].speaker |
SPEAKER_12 |
transcript.pyannote[653].start |
7290.99284375 |
transcript.pyannote[653].end |
7291.68471875 |
transcript.pyannote[654].speaker |
SPEAKER_12 |
transcript.pyannote[654].start |
7292.02221875 |
transcript.pyannote[654].end |
7293.79409375 |
transcript.pyannote[655].speaker |
SPEAKER_03 |
transcript.pyannote[655].start |
7292.66346875 |
transcript.pyannote[655].end |
7293.11909375 |
transcript.pyannote[656].speaker |
SPEAKER_07 |
transcript.pyannote[656].start |
7294.24971875 |
transcript.pyannote[656].end |
7300.99971875 |
transcript.pyannote[657].speaker |
SPEAKER_09 |
transcript.pyannote[657].start |
7314.61784375 |
transcript.pyannote[657].end |
7316.91284375 |
transcript.pyannote[658].speaker |
SPEAKER_07 |
transcript.pyannote[658].start |
7317.18284375 |
transcript.pyannote[658].end |
7317.99284375 |
transcript.pyannote[659].speaker |
SPEAKER_03 |
transcript.pyannote[659].start |
7323.71346875 |
transcript.pyannote[659].end |
7324.55721875 |
transcript.pyannote[660].speaker |
SPEAKER_09 |
transcript.pyannote[660].start |
7324.97909375 |
transcript.pyannote[660].end |
7340.60534375 |
transcript.pyannote[661].speaker |
SPEAKER_09 |
transcript.pyannote[661].start |
7340.70659375 |
transcript.pyannote[661].end |
7354.71284375 |
transcript.pyannote[662].speaker |
SPEAKER_09 |
transcript.pyannote[662].start |
7354.83096875 |
transcript.pyannote[662].end |
7375.41846875 |
transcript.pyannote[663].speaker |
SPEAKER_09 |
transcript.pyannote[663].start |
7375.75596875 |
transcript.pyannote[663].end |
7403.66721875 |
transcript.pyannote[664].speaker |
SPEAKER_09 |
transcript.pyannote[664].start |
7403.90346875 |
transcript.pyannote[664].end |
7416.15471875 |
transcript.pyannote[665].speaker |
SPEAKER_03 |
transcript.pyannote[665].start |
7416.40784375 |
transcript.pyannote[665].end |
7442.74971875 |
transcript.pyannote[666].speaker |
SPEAKER_03 |
transcript.pyannote[666].start |
7443.10409375 |
transcript.pyannote[666].end |
7455.08534375 |
transcript.pyannote[667].speaker |
SPEAKER_03 |
transcript.pyannote[667].start |
7455.16971875 |
transcript.pyannote[667].end |
7462.05471875 |
transcript.pyannote[668].speaker |
SPEAKER_03 |
transcript.pyannote[668].start |
7462.12221875 |
transcript.pyannote[668].end |
7469.04096875 |
transcript.pyannote[669].speaker |
SPEAKER_03 |
transcript.pyannote[669].start |
7469.34471875 |
transcript.pyannote[669].end |
7559.27159375 |
transcript.pyannote[670].speaker |
SPEAKER_09 |
transcript.pyannote[670].start |
7559.27159375 |
transcript.pyannote[670].end |
7578.44159375 |
transcript.pyannote[671].speaker |
SPEAKER_09 |
transcript.pyannote[671].start |
7579.31909375 |
transcript.pyannote[671].end |
7593.47721875 |
transcript.pyannote[672].speaker |
SPEAKER_09 |
transcript.pyannote[672].start |
7594.47284375 |
transcript.pyannote[672].end |
7609.52534375 |
transcript.pyannote[673].speaker |
SPEAKER_09 |
transcript.pyannote[673].start |
7609.72784375 |
transcript.pyannote[673].end |
7636.15409375 |
transcript.pyannote[674].speaker |
SPEAKER_03 |
transcript.pyannote[674].start |
7636.01909375 |
transcript.pyannote[674].end |
7673.68409375 |
transcript.pyannote[675].speaker |
SPEAKER_09 |
transcript.pyannote[675].start |
7673.68409375 |
transcript.pyannote[675].end |
7673.70096875 |
transcript.pyannote[676].speaker |
SPEAKER_09 |
transcript.pyannote[676].start |
7674.32534375 |
transcript.pyannote[676].end |
7677.61596875 |
transcript.pyannote[677].speaker |
SPEAKER_03 |
transcript.pyannote[677].start |
7677.16034375 |
transcript.pyannote[677].end |
7677.31221875 |
transcript.pyannote[678].speaker |
SPEAKER_06 |
transcript.pyannote[678].start |
7677.31221875 |
transcript.pyannote[678].end |
7677.34596875 |
transcript.pyannote[679].speaker |
SPEAKER_03 |
transcript.pyannote[679].start |
7677.34596875 |
transcript.pyannote[679].end |
7677.39659375 |
transcript.pyannote[680].speaker |
SPEAKER_09 |
transcript.pyannote[680].start |
7677.97034375 |
transcript.pyannote[680].end |
7690.64346875 |
transcript.pyannote[681].speaker |
SPEAKER_03 |
transcript.pyannote[681].start |
7686.32346875 |
transcript.pyannote[681].end |
7686.61034375 |
transcript.pyannote[682].speaker |
SPEAKER_03 |
transcript.pyannote[682].start |
7689.12471875 |
transcript.pyannote[682].end |
7692.21284375 |
transcript.pyannote[683].speaker |
SPEAKER_07 |
transcript.pyannote[683].start |
7697.78159375 |
transcript.pyannote[683].end |
7698.23721875 |
transcript.pyannote[684].speaker |
SPEAKER_07 |
transcript.pyannote[684].start |
7698.38909375 |
transcript.pyannote[684].end |
7706.40471875 |
transcript.pyannote[685].speaker |
SPEAKER_14 |
transcript.pyannote[685].start |
7717.60971875 |
transcript.pyannote[685].end |
7723.11096875 |
transcript.pyannote[686].speaker |
SPEAKER_07 |
transcript.pyannote[686].start |
7723.49909375 |
transcript.pyannote[686].end |
7724.29221875 |
transcript.pyannote[687].speaker |
SPEAKER_14 |
transcript.pyannote[687].start |
7728.84846875 |
transcript.pyannote[687].end |
7728.86534375 |
transcript.pyannote[688].speaker |
SPEAKER_02 |
transcript.pyannote[688].start |
7728.86534375 |
transcript.pyannote[688].end |
7794.45846875 |
transcript.pyannote[689].speaker |
SPEAKER_03 |
transcript.pyannote[689].start |
7795.33596875 |
transcript.pyannote[689].end |
7802.57534375 |
transcript.pyannote[690].speaker |
SPEAKER_03 |
transcript.pyannote[690].start |
7802.98034375 |
transcript.pyannote[690].end |
7825.20471875 |
transcript.pyannote[691].speaker |
SPEAKER_00 |
transcript.pyannote[691].start |
7816.41284375 |
transcript.pyannote[691].end |
7816.80096875 |
transcript.pyannote[692].speaker |
SPEAKER_03 |
transcript.pyannote[692].start |
7825.47471875 |
transcript.pyannote[692].end |
7842.19784375 |
transcript.pyannote[693].speaker |
SPEAKER_00 |
transcript.pyannote[693].start |
7833.97971875 |
transcript.pyannote[693].end |
7834.01346875 |
transcript.pyannote[694].speaker |
SPEAKER_02 |
transcript.pyannote[694].start |
7834.01346875 |
transcript.pyannote[694].end |
7834.35096875 |
transcript.pyannote[695].speaker |
SPEAKER_02 |
transcript.pyannote[695].start |
7835.58284375 |
transcript.pyannote[695].end |
7835.85284375 |
transcript.pyannote[696].speaker |
SPEAKER_02 |
transcript.pyannote[696].start |
7839.85221875 |
transcript.pyannote[696].end |
7840.07159375 |
transcript.pyannote[697].speaker |
SPEAKER_02 |
transcript.pyannote[697].start |
7842.19784375 |
transcript.pyannote[697].end |
7952.84721875 |
transcript.pyannote[698].speaker |
SPEAKER_03 |
transcript.pyannote[698].start |
7952.84721875 |
transcript.pyannote[698].end |
7960.82909375 |
transcript.pyannote[699].speaker |
SPEAKER_02 |
transcript.pyannote[699].start |
7956.35721875 |
transcript.pyannote[699].end |
7966.65096875 |
transcript.pyannote[700].speaker |
SPEAKER_03 |
transcript.pyannote[700].start |
7963.42784375 |
transcript.pyannote[700].end |
7963.78221875 |
transcript.pyannote[701].speaker |
SPEAKER_03 |
transcript.pyannote[701].start |
7964.37284375 |
transcript.pyannote[701].end |
7964.84534375 |
transcript.pyannote[702].speaker |
SPEAKER_03 |
transcript.pyannote[702].start |
7965.92534375 |
transcript.pyannote[702].end |
7996.13159375 |
transcript.pyannote[703].speaker |
SPEAKER_02 |
transcript.pyannote[703].start |
7996.13159375 |
transcript.pyannote[703].end |
7999.35471875 |
transcript.pyannote[704].speaker |
SPEAKER_03 |
transcript.pyannote[704].start |
7997.93721875 |
transcript.pyannote[704].end |
8005.98659375 |
transcript.pyannote[705].speaker |
SPEAKER_02 |
transcript.pyannote[705].start |
8004.11346875 |
transcript.pyannote[705].end |
8004.51846875 |
transcript.pyannote[706].speaker |
SPEAKER_02 |
transcript.pyannote[706].start |
8006.00346875 |
transcript.pyannote[706].end |
8012.97284375 |
transcript.pyannote[707].speaker |
SPEAKER_03 |
transcript.pyannote[707].start |
8012.97284375 |
transcript.pyannote[707].end |
8014.33971875 |
transcript.pyannote[708].speaker |
SPEAKER_03 |
transcript.pyannote[708].start |
8014.52534375 |
transcript.pyannote[708].end |
8014.55909375 |
transcript.pyannote[709].speaker |
SPEAKER_02 |
transcript.pyannote[709].start |
8014.55909375 |
transcript.pyannote[709].end |
8015.72346875 |
transcript.pyannote[710].speaker |
SPEAKER_03 |
transcript.pyannote[710].start |
8014.57596875 |
transcript.pyannote[710].end |
8016.71909375 |
transcript.pyannote[711].speaker |
SPEAKER_02 |
transcript.pyannote[711].start |
8016.71909375 |
transcript.pyannote[711].end |
8018.62596875 |
transcript.pyannote[712].speaker |
SPEAKER_03 |
transcript.pyannote[712].start |
8017.81596875 |
transcript.pyannote[712].end |
8022.28784375 |
transcript.pyannote[713].speaker |
SPEAKER_02 |
transcript.pyannote[713].start |
8018.89596875 |
transcript.pyannote[713].end |
8019.79034375 |
transcript.pyannote[714].speaker |
SPEAKER_02 |
transcript.pyannote[714].start |
8022.28784375 |
transcript.pyannote[714].end |
8027.40096875 |
transcript.pyannote[715].speaker |
SPEAKER_03 |
transcript.pyannote[715].start |
8024.81909375 |
transcript.pyannote[715].end |
8027.45159375 |
transcript.pyannote[716].speaker |
SPEAKER_02 |
transcript.pyannote[716].start |
8027.45159375 |
transcript.pyannote[716].end |
8027.46846875 |
transcript.pyannote[717].speaker |
SPEAKER_03 |
transcript.pyannote[717].start |
8027.46846875 |
transcript.pyannote[717].end |
8027.55284375 |
transcript.pyannote[718].speaker |
SPEAKER_02 |
transcript.pyannote[718].start |
8028.05909375 |
transcript.pyannote[718].end |
8067.00659375 |
transcript.pyannote[719].speaker |
SPEAKER_03 |
transcript.pyannote[719].start |
8028.22784375 |
transcript.pyannote[719].end |
8028.63284375 |
transcript.pyannote[720].speaker |
SPEAKER_03 |
transcript.pyannote[720].start |
8065.40346875 |
transcript.pyannote[720].end |
8075.03909375 |
transcript.pyannote[721].speaker |
SPEAKER_02 |
transcript.pyannote[721].start |
8073.04784375 |
transcript.pyannote[721].end |
8074.06034375 |
transcript.pyannote[722].speaker |
SPEAKER_02 |
transcript.pyannote[722].start |
8075.03909375 |
transcript.pyannote[722].end |
8092.06596875 |
transcript.pyannote[723].speaker |
SPEAKER_03 |
transcript.pyannote[723].start |
8092.06596875 |
transcript.pyannote[723].end |
8099.76096875 |
transcript.pyannote[724].speaker |
SPEAKER_02 |
transcript.pyannote[724].start |
8099.54159375 |
transcript.pyannote[724].end |
8110.59471875 |
transcript.pyannote[725].speaker |
SPEAKER_03 |
transcript.pyannote[725].start |
8104.26659375 |
transcript.pyannote[725].end |
8104.65471875 |
transcript.pyannote[726].speaker |
SPEAKER_03 |
transcript.pyannote[726].start |
8108.41784375 |
transcript.pyannote[726].end |
8108.46846875 |
transcript.pyannote[727].speaker |
SPEAKER_07 |
transcript.pyannote[727].start |
8108.46846875 |
transcript.pyannote[727].end |
8108.68784375 |
transcript.pyannote[728].speaker |
SPEAKER_03 |
transcript.pyannote[728].start |
8108.68784375 |
transcript.pyannote[728].end |
8108.80596875 |
transcript.pyannote[729].speaker |
SPEAKER_03 |
transcript.pyannote[729].start |
8109.51471875 |
transcript.pyannote[729].end |
8113.81784375 |
transcript.pyannote[730].speaker |
SPEAKER_07 |
transcript.pyannote[730].start |
8110.59471875 |
transcript.pyannote[730].end |
8110.64534375 |
transcript.pyannote[731].speaker |
SPEAKER_02 |
transcript.pyannote[731].start |
8110.99971875 |
transcript.pyannote[731].end |
8111.03346875 |
transcript.pyannote[732].speaker |
SPEAKER_07 |
transcript.pyannote[732].start |
8111.03346875 |
transcript.pyannote[732].end |
8111.38784375 |
transcript.pyannote[733].speaker |
SPEAKER_07 |
transcript.pyannote[733].start |
8112.13034375 |
transcript.pyannote[733].end |
8113.76721875 |
transcript.pyannote[734].speaker |
SPEAKER_07 |
transcript.pyannote[734].start |
8114.03721875 |
transcript.pyannote[734].end |
8121.20909375 |
transcript.pyannote[735].speaker |
SPEAKER_07 |
transcript.pyannote[735].start |
8121.78284375 |
transcript.pyannote[735].end |
8124.76971875 |
transcript.pyannote[736].speaker |
SPEAKER_07 |
transcript.pyannote[736].start |
8125.00596875 |
transcript.pyannote[736].end |
8125.02284375 |
transcript.pyannote[737].speaker |
SPEAKER_07 |
transcript.pyannote[737].start |
8125.10721875 |
transcript.pyannote[737].end |
8127.50346875 |
transcript.pyannote[738].speaker |
SPEAKER_10 |
transcript.pyannote[738].start |
8140.64909375 |
transcript.pyannote[738].end |
8142.64034375 |
transcript.pyannote[739].speaker |
SPEAKER_07 |
transcript.pyannote[739].start |
8142.64034375 |
transcript.pyannote[739].end |
8143.45034375 |
transcript.pyannote[740].speaker |
SPEAKER_03 |
transcript.pyannote[740].start |
8149.10346875 |
transcript.pyannote[740].end |
8149.98096875 |
transcript.pyannote[741].speaker |
SPEAKER_10 |
transcript.pyannote[741].start |
8149.98096875 |
transcript.pyannote[741].end |
8155.76909375 |
transcript.pyannote[742].speaker |
SPEAKER_03 |
transcript.pyannote[742].start |
8155.12784375 |
transcript.pyannote[742].end |
8156.14034375 |
transcript.pyannote[743].speaker |
SPEAKER_10 |
transcript.pyannote[743].start |
8155.97159375 |
transcript.pyannote[743].end |
8194.95284375 |
transcript.pyannote[744].speaker |
SPEAKER_03 |
transcript.pyannote[744].start |
8195.67846875 |
transcript.pyannote[744].end |
8199.40784375 |
transcript.pyannote[745].speaker |
SPEAKER_03 |
transcript.pyannote[745].start |
8199.96471875 |
transcript.pyannote[745].end |
8200.38659375 |
transcript.pyannote[746].speaker |
SPEAKER_03 |
transcript.pyannote[746].start |
8201.75346875 |
transcript.pyannote[746].end |
8203.81221875 |
transcript.pyannote[747].speaker |
SPEAKER_06 |
transcript.pyannote[747].start |
8203.81221875 |
transcript.pyannote[747].end |
8204.18346875 |
transcript.pyannote[748].speaker |
SPEAKER_03 |
transcript.pyannote[748].start |
8204.18346875 |
transcript.pyannote[748].end |
8204.74034375 |
transcript.pyannote[749].speaker |
SPEAKER_03 |
transcript.pyannote[749].start |
8205.11159375 |
transcript.pyannote[749].end |
8208.99284375 |
transcript.pyannote[750].speaker |
SPEAKER_03 |
transcript.pyannote[750].start |
8209.75221875 |
transcript.pyannote[750].end |
8210.15721875 |
transcript.pyannote[751].speaker |
SPEAKER_03 |
transcript.pyannote[751].start |
8211.57471875 |
transcript.pyannote[751].end |
8222.49284375 |
transcript.pyannote[752].speaker |
SPEAKER_06 |
transcript.pyannote[752].start |
8222.49284375 |
transcript.pyannote[752].end |
8222.67846875 |
transcript.pyannote[753].speaker |
SPEAKER_03 |
transcript.pyannote[753].start |
8222.67846875 |
transcript.pyannote[753].end |
8228.53409375 |
transcript.pyannote[754].speaker |
SPEAKER_10 |
transcript.pyannote[754].start |
8228.02784375 |
transcript.pyannote[754].end |
8231.33534375 |
transcript.pyannote[755].speaker |
SPEAKER_03 |
transcript.pyannote[755].start |
8229.56346875 |
transcript.pyannote[755].end |
8230.01909375 |
transcript.pyannote[756].speaker |
SPEAKER_03 |
transcript.pyannote[756].start |
8231.03159375 |
transcript.pyannote[756].end |
8235.99284375 |
transcript.pyannote[757].speaker |
SPEAKER_03 |
transcript.pyannote[757].start |
8236.71846875 |
transcript.pyannote[757].end |
8237.86596875 |
transcript.pyannote[758].speaker |
SPEAKER_06 |
transcript.pyannote[758].start |
8237.76471875 |
transcript.pyannote[758].end |
8238.32159375 |
transcript.pyannote[759].speaker |
SPEAKER_03 |
transcript.pyannote[759].start |
8238.01784375 |
transcript.pyannote[759].end |
8243.95784375 |
transcript.pyannote[760].speaker |
SPEAKER_03 |
transcript.pyannote[760].start |
8244.80159375 |
transcript.pyannote[760].end |
8271.26159375 |
transcript.pyannote[761].speaker |
SPEAKER_06 |
transcript.pyannote[761].start |
8245.44284375 |
transcript.pyannote[761].end |
8246.65784375 |
transcript.pyannote[762].speaker |
SPEAKER_06 |
transcript.pyannote[762].start |
8251.02846875 |
transcript.pyannote[762].end |
8251.82159375 |
transcript.pyannote[763].speaker |
SPEAKER_10 |
transcript.pyannote[763].start |
8270.78909375 |
transcript.pyannote[763].end |
8271.16034375 |
transcript.pyannote[764].speaker |
SPEAKER_10 |
transcript.pyannote[764].start |
8271.26159375 |
transcript.pyannote[764].end |
8285.16659375 |
transcript.pyannote[765].speaker |
SPEAKER_03 |
transcript.pyannote[765].start |
8284.89659375 |
transcript.pyannote[765].end |
8290.19534375 |
transcript.pyannote[766].speaker |
SPEAKER_10 |
transcript.pyannote[766].start |
8288.47409375 |
transcript.pyannote[766].end |
8288.92971875 |
transcript.pyannote[767].speaker |
SPEAKER_10 |
transcript.pyannote[767].start |
8289.63846875 |
transcript.pyannote[767].end |
8289.97596875 |
transcript.pyannote[768].speaker |
SPEAKER_06 |
transcript.pyannote[768].start |
8289.97596875 |
transcript.pyannote[768].end |
8290.41471875 |
transcript.pyannote[769].speaker |
SPEAKER_03 |
transcript.pyannote[769].start |
8290.41471875 |
transcript.pyannote[769].end |
8293.78971875 |
transcript.pyannote[770].speaker |
SPEAKER_06 |
transcript.pyannote[770].start |
8293.73909375 |
transcript.pyannote[770].end |
8294.11034375 |
transcript.pyannote[771].speaker |
SPEAKER_03 |
transcript.pyannote[771].start |
8294.07659375 |
transcript.pyannote[771].end |
8296.69221875 |
transcript.pyannote[772].speaker |
SPEAKER_03 |
transcript.pyannote[772].start |
8296.87784375 |
transcript.pyannote[772].end |
8311.81221875 |
transcript.pyannote[773].speaker |
SPEAKER_10 |
transcript.pyannote[773].start |
8311.81221875 |
transcript.pyannote[773].end |
8353.96596875 |
transcript.pyannote[774].speaker |
SPEAKER_00 |
transcript.pyannote[774].start |
8325.10971875 |
transcript.pyannote[774].end |
8325.56534375 |
transcript.pyannote[775].speaker |
SPEAKER_00 |
transcript.pyannote[775].start |
8327.64096875 |
transcript.pyannote[775].end |
8327.65784375 |
transcript.pyannote[776].speaker |
SPEAKER_06 |
transcript.pyannote[776].start |
8327.65784375 |
transcript.pyannote[776].end |
8327.69159375 |
transcript.pyannote[777].speaker |
SPEAKER_06 |
transcript.pyannote[777].start |
8330.40846875 |
transcript.pyannote[777].end |
8330.61096875 |
transcript.pyannote[778].speaker |
SPEAKER_06 |
transcript.pyannote[778].start |
8336.85471875 |
transcript.pyannote[778].end |
8337.15846875 |
transcript.pyannote[779].speaker |
SPEAKER_03 |
transcript.pyannote[779].start |
8353.96596875 |
transcript.pyannote[779].end |
8366.87534375 |
transcript.pyannote[780].speaker |
SPEAKER_10 |
transcript.pyannote[780].start |
8356.64909375 |
transcript.pyannote[780].end |
8357.23971875 |
transcript.pyannote[781].speaker |
SPEAKER_10 |
transcript.pyannote[781].start |
8357.49284375 |
transcript.pyannote[781].end |
8357.89784375 |
transcript.pyannote[782].speaker |
SPEAKER_10 |
transcript.pyannote[782].start |
8362.62284375 |
transcript.pyannote[782].end |
8366.08221875 |
transcript.pyannote[783].speaker |
SPEAKER_10 |
transcript.pyannote[783].start |
8366.28471875 |
transcript.pyannote[783].end |
8377.59096875 |
transcript.pyannote[784].speaker |
SPEAKER_03 |
transcript.pyannote[784].start |
8376.35909375 |
transcript.pyannote[784].end |
8391.54659375 |
transcript.pyannote[785].speaker |
SPEAKER_10 |
transcript.pyannote[785].start |
8384.57721875 |
transcript.pyannote[785].end |
8384.74596875 |
transcript.pyannote[786].speaker |
SPEAKER_10 |
transcript.pyannote[786].start |
8386.83846875 |
transcript.pyannote[786].end |
8387.68221875 |
transcript.pyannote[787].speaker |
SPEAKER_10 |
transcript.pyannote[787].start |
8388.23909375 |
transcript.pyannote[787].end |
8388.79596875 |
transcript.pyannote[788].speaker |
SPEAKER_10 |
transcript.pyannote[788].start |
8391.17534375 |
transcript.pyannote[788].end |
8442.61034375 |
transcript.pyannote[789].speaker |
SPEAKER_06 |
transcript.pyannote[789].start |
8414.12534375 |
transcript.pyannote[789].end |
8414.34471875 |
transcript.pyannote[790].speaker |
SPEAKER_08 |
transcript.pyannote[790].start |
8414.34471875 |
transcript.pyannote[790].end |
8414.42909375 |
transcript.pyannote[791].speaker |
SPEAKER_14 |
transcript.pyannote[791].start |
8414.42909375 |
transcript.pyannote[791].end |
8414.46284375 |
transcript.pyannote[792].speaker |
SPEAKER_14 |
transcript.pyannote[792].start |
8417.98971875 |
transcript.pyannote[792].end |
8418.49596875 |
transcript.pyannote[793].speaker |
SPEAKER_06 |
transcript.pyannote[793].start |
8418.49596875 |
transcript.pyannote[793].end |
8418.52971875 |
transcript.pyannote[794].speaker |
SPEAKER_06 |
transcript.pyannote[794].start |
8423.60909375 |
transcript.pyannote[794].end |
8423.94659375 |
transcript.pyannote[795].speaker |
SPEAKER_00 |
transcript.pyannote[795].start |
8431.50659375 |
transcript.pyannote[795].end |
8432.62034375 |
transcript.pyannote[796].speaker |
SPEAKER_13 |
transcript.pyannote[796].start |
8437.95284375 |
transcript.pyannote[796].end |
8437.96971875 |
transcript.pyannote[797].speaker |
SPEAKER_03 |
transcript.pyannote[797].start |
8437.96971875 |
transcript.pyannote[797].end |
8438.35784375 |
transcript.pyannote[798].speaker |
SPEAKER_13 |
transcript.pyannote[798].start |
8439.62346875 |
transcript.pyannote[798].end |
8439.64034375 |
transcript.pyannote[799].speaker |
SPEAKER_03 |
transcript.pyannote[799].start |
8439.64034375 |
transcript.pyannote[799].end |
8440.01159375 |
transcript.pyannote[800].speaker |
SPEAKER_03 |
transcript.pyannote[800].start |
8442.50909375 |
transcript.pyannote[800].end |
8511.61221875 |
transcript.pyannote[801].speaker |
SPEAKER_10 |
transcript.pyannote[801].start |
8447.79096875 |
transcript.pyannote[801].end |
8447.97659375 |
transcript.pyannote[802].speaker |
SPEAKER_10 |
transcript.pyannote[802].start |
8448.11159375 |
transcript.pyannote[802].end |
8448.12846875 |
transcript.pyannote[803].speaker |
SPEAKER_10 |
transcript.pyannote[803].start |
8450.33909375 |
transcript.pyannote[803].end |
8450.92971875 |
transcript.pyannote[804].speaker |
SPEAKER_06 |
transcript.pyannote[804].start |
8450.92971875 |
transcript.pyannote[804].end |
8451.01409375 |
transcript.pyannote[805].speaker |
SPEAKER_06 |
transcript.pyannote[805].start |
8454.64221875 |
transcript.pyannote[805].end |
8454.82784375 |
transcript.pyannote[806].speaker |
SPEAKER_06 |
transcript.pyannote[806].start |
8454.94596875 |
transcript.pyannote[806].end |
8454.97971875 |
transcript.pyannote[807].speaker |
SPEAKER_06 |
transcript.pyannote[807].start |
8473.82909375 |
transcript.pyannote[807].end |
8473.84596875 |
transcript.pyannote[808].speaker |
SPEAKER_06 |
transcript.pyannote[808].start |
8473.89659375 |
transcript.pyannote[808].end |
8474.06534375 |
transcript.pyannote[809].speaker |
SPEAKER_10 |
transcript.pyannote[809].start |
8511.61221875 |
transcript.pyannote[809].end |
8535.49034375 |
transcript.pyannote[810].speaker |
SPEAKER_03 |
transcript.pyannote[810].start |
8515.07159375 |
transcript.pyannote[810].end |
8515.22346875 |
transcript.pyannote[811].speaker |
SPEAKER_00 |
transcript.pyannote[811].start |
8524.35284375 |
transcript.pyannote[811].end |
8524.70721875 |
transcript.pyannote[812].speaker |
SPEAKER_00 |
transcript.pyannote[812].start |
8528.14971875 |
transcript.pyannote[812].end |
8528.16659375 |
transcript.pyannote[813].speaker |
SPEAKER_03 |
transcript.pyannote[813].start |
8528.16659375 |
transcript.pyannote[813].end |
8528.57159375 |
transcript.pyannote[814].speaker |
SPEAKER_07 |
transcript.pyannote[814].start |
8535.49034375 |
transcript.pyannote[814].end |
8547.65721875 |
transcript.pyannote[815].speaker |
SPEAKER_10 |
transcript.pyannote[815].start |
8536.40159375 |
transcript.pyannote[815].end |
8537.75159375 |
transcript.pyannote[816].speaker |
SPEAKER_00 |
transcript.pyannote[816].start |
8560.80284375 |
transcript.pyannote[816].end |
8562.94596875 |
transcript.pyannote[817].speaker |
SPEAKER_03 |
transcript.pyannote[817].start |
8570.01659375 |
transcript.pyannote[817].end |
8570.74221875 |
transcript.pyannote[818].speaker |
SPEAKER_00 |
transcript.pyannote[818].start |
8570.99534375 |
transcript.pyannote[818].end |
8571.43409375 |
transcript.pyannote[819].speaker |
SPEAKER_00 |
transcript.pyannote[819].start |
8572.71659375 |
transcript.pyannote[819].end |
8581.28909375 |
transcript.pyannote[820].speaker |
SPEAKER_00 |
transcript.pyannote[820].start |
8581.59284375 |
transcript.pyannote[820].end |
8601.35346875 |
transcript.pyannote[821].speaker |
SPEAKER_00 |
transcript.pyannote[821].start |
8601.74159375 |
transcript.pyannote[821].end |
8603.39534375 |
transcript.pyannote[822].speaker |
SPEAKER_00 |
transcript.pyannote[822].start |
8603.74971875 |
transcript.pyannote[822].end |
8613.30096875 |
transcript.pyannote[823].speaker |
SPEAKER_00 |
transcript.pyannote[823].start |
8613.52034375 |
transcript.pyannote[823].end |
8633.95596875 |
transcript.pyannote[824].speaker |
SPEAKER_00 |
transcript.pyannote[824].start |
8634.52971875 |
transcript.pyannote[824].end |
8635.57596875 |
transcript.pyannote[825].speaker |
SPEAKER_00 |
transcript.pyannote[825].start |
8635.62659375 |
transcript.pyannote[825].end |
8639.72721875 |
transcript.pyannote[826].speaker |
SPEAKER_00 |
transcript.pyannote[826].start |
8640.18284375 |
transcript.pyannote[826].end |
8645.63346875 |
transcript.pyannote[827].speaker |
SPEAKER_00 |
transcript.pyannote[827].start |
8646.27471875 |
transcript.pyannote[827].end |
8661.04034375 |
transcript.pyannote[828].speaker |
SPEAKER_00 |
transcript.pyannote[828].start |
8661.12471875 |
transcript.pyannote[828].end |
8668.02659375 |
transcript.pyannote[829].speaker |
SPEAKER_00 |
transcript.pyannote[829].start |
8668.36409375 |
transcript.pyannote[829].end |
8672.00909375 |
transcript.pyannote[830].speaker |
SPEAKER_00 |
transcript.pyannote[830].start |
8672.21159375 |
transcript.pyannote[830].end |
8697.05159375 |
transcript.pyannote[831].speaker |
SPEAKER_03 |
transcript.pyannote[831].start |
8697.49034375 |
transcript.pyannote[831].end |
8747.13659375 |
transcript.pyannote[832].speaker |
SPEAKER_03 |
transcript.pyannote[832].start |
8747.32221875 |
transcript.pyannote[832].end |
8758.89846875 |
transcript.pyannote[833].speaker |
SPEAKER_03 |
transcript.pyannote[833].start |
8759.47221875 |
transcript.pyannote[833].end |
8845.97346875 |
transcript.pyannote[834].speaker |
SPEAKER_00 |
transcript.pyannote[834].start |
8846.81721875 |
transcript.pyannote[834].end |
8895.21471875 |
transcript.pyannote[835].speaker |
SPEAKER_06 |
transcript.pyannote[835].start |
8895.21471875 |
transcript.pyannote[835].end |
8895.34971875 |
transcript.pyannote[836].speaker |
SPEAKER_00 |
transcript.pyannote[836].start |
8895.34971875 |
transcript.pyannote[836].end |
8901.17159375 |
transcript.pyannote[837].speaker |
SPEAKER_03 |
transcript.pyannote[837].start |
8900.19284375 |
transcript.pyannote[837].end |
8938.75221875 |
transcript.pyannote[838].speaker |
SPEAKER_00 |
transcript.pyannote[838].start |
8901.40784375 |
transcript.pyannote[838].end |
8901.69471875 |
transcript.pyannote[839].speaker |
SPEAKER_00 |
transcript.pyannote[839].start |
8938.90409375 |
transcript.pyannote[839].end |
8944.75971875 |
transcript.pyannote[840].speaker |
SPEAKER_03 |
transcript.pyannote[840].start |
8943.64596875 |
transcript.pyannote[840].end |
8943.86534375 |
transcript.pyannote[841].speaker |
SPEAKER_03 |
transcript.pyannote[841].start |
8944.86096875 |
transcript.pyannote[841].end |
8945.95784375 |
transcript.pyannote[842].speaker |
SPEAKER_10 |
transcript.pyannote[842].start |
8947.54409375 |
transcript.pyannote[842].end |
8950.76721875 |
transcript.pyannote[843].speaker |
SPEAKER_07 |
transcript.pyannote[843].start |
8959.20471875 |
transcript.pyannote[843].end |
8960.70659375 |
transcript.pyannote[844].speaker |
SPEAKER_10 |
transcript.pyannote[844].start |
8961.82034375 |
transcript.pyannote[844].end |
8962.79909375 |
transcript.pyannote[845].speaker |
SPEAKER_03 |
transcript.pyannote[845].start |
8967.06846875 |
transcript.pyannote[845].end |
8967.82784375 |
transcript.pyannote[846].speaker |
SPEAKER_07 |
transcript.pyannote[846].start |
8967.91221875 |
transcript.pyannote[846].end |
8996.51534375 |
transcript.pyannote[847].speaker |
SPEAKER_07 |
transcript.pyannote[847].start |
8996.66721875 |
transcript.pyannote[847].end |
9011.14596875 |
transcript.pyannote[848].speaker |
SPEAKER_00 |
transcript.pyannote[848].start |
9007.92284375 |
transcript.pyannote[848].end |
9007.99034375 |
transcript.pyannote[849].speaker |
SPEAKER_06 |
transcript.pyannote[849].start |
9007.99034375 |
transcript.pyannote[849].end |
9008.00721875 |
transcript.pyannote[850].speaker |
SPEAKER_00 |
transcript.pyannote[850].start |
9008.00721875 |
transcript.pyannote[850].end |
9008.12534375 |
transcript.pyannote[851].speaker |
SPEAKER_07 |
transcript.pyannote[851].start |
9011.50034375 |
transcript.pyannote[851].end |
9027.90284375 |
transcript.pyannote[852].speaker |
SPEAKER_07 |
transcript.pyannote[852].start |
9028.81409375 |
transcript.pyannote[852].end |
9033.01596875 |
transcript.pyannote[853].speaker |
SPEAKER_07 |
transcript.pyannote[853].start |
9033.52221875 |
transcript.pyannote[853].end |
9041.90909375 |
transcript.pyannote[854].speaker |
SPEAKER_07 |
transcript.pyannote[854].start |
9042.44909375 |
transcript.pyannote[854].end |
9051.07221875 |
transcript.pyannote[855].speaker |
SPEAKER_07 |
transcript.pyannote[855].start |
9051.30846875 |
transcript.pyannote[855].end |
9058.22721875 |
transcript.pyannote[856].speaker |
SPEAKER_07 |
transcript.pyannote[856].start |
9059.13846875 |
transcript.pyannote[856].end |
9067.54221875 |
transcript.pyannote[857].speaker |
SPEAKER_07 |
transcript.pyannote[857].start |
9068.36909375 |
transcript.pyannote[857].end |
9068.94284375 |
transcript.pyannote[858].speaker |
SPEAKER_07 |
transcript.pyannote[858].start |
9069.71909375 |
transcript.pyannote[858].end |
9070.64721875 |
transcript.pyannote[859].speaker |
SPEAKER_07 |
transcript.pyannote[859].start |
9071.25471875 |
transcript.pyannote[859].end |
9090.79596875 |
transcript.pyannote[860].speaker |
SPEAKER_03 |
transcript.pyannote[860].start |
9080.45159375 |
transcript.pyannote[860].end |
9081.16034375 |
transcript.pyannote[861].speaker |
SPEAKER_03 |
transcript.pyannote[861].start |
9081.64971875 |
transcript.pyannote[861].end |
9082.00409375 |
transcript.pyannote[862].speaker |
SPEAKER_03 |
transcript.pyannote[862].start |
9091.74096875 |
transcript.pyannote[862].end |
9093.32721875 |
transcript.pyannote[863].speaker |
SPEAKER_03 |
transcript.pyannote[863].start |
9093.59721875 |
transcript.pyannote[863].end |
9095.03159375 |
transcript.pyannote[864].speaker |
SPEAKER_07 |
transcript.pyannote[864].start |
9095.03159375 |
transcript.pyannote[864].end |
9099.01409375 |
transcript.pyannote[865].speaker |
SPEAKER_07 |
transcript.pyannote[865].start |
9099.55409375 |
transcript.pyannote[865].end |
9100.70159375 |
transcript.pyannote[866].speaker |
SPEAKER_07 |
transcript.pyannote[866].start |
9100.80284375 |
transcript.pyannote[866].end |
9102.57471875 |
transcript.pyannote[867].speaker |
SPEAKER_07 |
transcript.pyannote[867].start |
9103.35096875 |
transcript.pyannote[867].end |
9107.33346875 |
transcript.pyannote[868].speaker |
SPEAKER_07 |
transcript.pyannote[868].start |
9107.41784375 |
transcript.pyannote[868].end |
9113.69534375 |
transcript.pyannote[869].speaker |
SPEAKER_03 |
transcript.pyannote[869].start |
9111.06284375 |
transcript.pyannote[869].end |
9111.88971875 |
transcript.pyannote[870].speaker |
SPEAKER_07 |
transcript.pyannote[870].start |
9114.65721875 |
transcript.pyannote[870].end |
9114.92721875 |
transcript.pyannote[871].speaker |
SPEAKER_07 |
transcript.pyannote[871].start |
9115.21409375 |
transcript.pyannote[871].end |
9116.91846875 |
transcript.pyannote[872].speaker |
SPEAKER_07 |
transcript.pyannote[872].start |
9116.93534375 |
transcript.pyannote[872].end |
9116.96909375 |
transcript.pyannote[873].speaker |
SPEAKER_06 |
transcript.pyannote[873].start |
9116.96909375 |
transcript.pyannote[873].end |
9117.23909375 |
transcript.pyannote[874].speaker |
SPEAKER_07 |
transcript.pyannote[874].start |
9117.23909375 |
transcript.pyannote[874].end |
9118.35284375 |
transcript.pyannote[875].speaker |
SPEAKER_07 |
transcript.pyannote[875].start |
9118.89284375 |
transcript.pyannote[875].end |
9121.64346875 |
transcript.pyannote[876].speaker |
SPEAKER_07 |
transcript.pyannote[876].start |
9122.14971875 |
transcript.pyannote[876].end |
9123.56721875 |
transcript.pyannote[877].speaker |
SPEAKER_07 |
transcript.pyannote[877].start |
9124.15784375 |
transcript.pyannote[877].end |
9131.85284375 |
transcript.pyannote[878].speaker |
SPEAKER_07 |
transcript.pyannote[878].start |
9132.44346875 |
transcript.pyannote[878].end |
9140.23971875 |
transcript.pyannote[879].speaker |
SPEAKER_06 |
transcript.pyannote[879].start |
9138.31596875 |
transcript.pyannote[879].end |
9138.60284375 |
transcript.pyannote[880].speaker |
SPEAKER_06 |
transcript.pyannote[880].start |
9140.23971875 |
transcript.pyannote[880].end |
9140.62784375 |
transcript.pyannote[881].speaker |
SPEAKER_07 |
transcript.pyannote[881].start |
9140.62784375 |
transcript.pyannote[881].end |
9143.39534375 |
transcript.pyannote[882].speaker |
SPEAKER_07 |
transcript.pyannote[882].start |
9143.66534375 |
transcript.pyannote[882].end |
9150.34784375 |
transcript.pyannote[883].speaker |
SPEAKER_06 |
transcript.pyannote[883].start |
9150.34784375 |
transcript.pyannote[883].end |
9150.80346875 |
transcript.pyannote[884].speaker |
SPEAKER_07 |
transcript.pyannote[884].start |
9150.80346875 |
transcript.pyannote[884].end |
9157.95846875 |
transcript.pyannote[885].speaker |
SPEAKER_06 |
transcript.pyannote[885].start |
9157.95846875 |
transcript.pyannote[885].end |
9157.99221875 |
transcript.pyannote[886].speaker |
SPEAKER_03 |
transcript.pyannote[886].start |
9157.99221875 |
transcript.pyannote[886].end |
9158.29596875 |
transcript.pyannote[887].speaker |
SPEAKER_07 |
transcript.pyannote[887].start |
9158.29596875 |
transcript.pyannote[887].end |
9161.55284375 |
transcript.pyannote[888].speaker |
SPEAKER_03 |
transcript.pyannote[888].start |
9158.31284375 |
transcript.pyannote[888].end |
9158.34659375 |
transcript.pyannote[889].speaker |
SPEAKER_03 |
transcript.pyannote[889].start |
9161.70471875 |
transcript.pyannote[889].end |
9165.83909375 |
transcript.pyannote[890].speaker |
SPEAKER_07 |
transcript.pyannote[890].start |
9165.83909375 |
transcript.pyannote[890].end |
9165.92346875 |
transcript.pyannote[891].speaker |
SPEAKER_03 |
transcript.pyannote[891].start |
9165.92346875 |
transcript.pyannote[891].end |
9168.16784375 |
transcript.pyannote[892].speaker |
SPEAKER_07 |
transcript.pyannote[892].start |
9167.83034375 |
transcript.pyannote[892].end |
9168.64034375 |
transcript.pyannote[893].speaker |
SPEAKER_03 |
transcript.pyannote[893].start |
9168.70784375 |
transcript.pyannote[893].end |
9185.29596875 |
transcript.pyannote[894].speaker |
SPEAKER_06 |
transcript.pyannote[894].start |
9178.42784375 |
transcript.pyannote[894].end |
9182.37659375 |
transcript.pyannote[895].speaker |
SPEAKER_06 |
transcript.pyannote[895].start |
9184.85721875 |
transcript.pyannote[895].end |
9185.53221875 |
transcript.pyannote[896].speaker |
SPEAKER_03 |
transcript.pyannote[896].start |
9185.46471875 |
transcript.pyannote[896].end |
9207.09846875 |
transcript.pyannote[897].speaker |
SPEAKER_07 |
transcript.pyannote[897].start |
9185.53221875 |
transcript.pyannote[897].end |
9185.54909375 |
transcript.pyannote[898].speaker |
SPEAKER_07 |
transcript.pyannote[898].start |
9207.09846875 |
transcript.pyannote[898].end |
9223.66971875 |
transcript.pyannote[899].speaker |
SPEAKER_03 |
transcript.pyannote[899].start |
9207.13221875 |
transcript.pyannote[899].end |
9207.53721875 |
transcript.pyannote[900].speaker |
SPEAKER_03 |
transcript.pyannote[900].start |
9210.03471875 |
transcript.pyannote[900].end |
9210.81096875 |
transcript.pyannote[901].speaker |
SPEAKER_08 |
transcript.pyannote[901].start |
9217.83096875 |
transcript.pyannote[901].end |
9218.13471875 |
transcript.pyannote[902].speaker |
SPEAKER_07 |
transcript.pyannote[902].start |
9224.00721875 |
transcript.pyannote[902].end |
9226.23471875 |
transcript.pyannote[903].speaker |
SPEAKER_08 |
transcript.pyannote[903].start |
9224.05784375 |
transcript.pyannote[903].end |
9226.40346875 |
transcript.pyannote[904].speaker |
SPEAKER_07 |
transcript.pyannote[904].start |
9226.40346875 |
transcript.pyannote[904].end |
9230.97659375 |
transcript.pyannote[905].speaker |
SPEAKER_06 |
transcript.pyannote[905].start |
9230.97659375 |
transcript.pyannote[905].end |
9231.01034375 |
transcript.pyannote[906].speaker |
SPEAKER_07 |
transcript.pyannote[906].start |
9231.01034375 |
transcript.pyannote[906].end |
9239.02596875 |
transcript.pyannote[907].speaker |
SPEAKER_06 |
transcript.pyannote[907].start |
9239.17784375 |
transcript.pyannote[907].end |
9239.51534375 |
transcript.pyannote[908].speaker |
SPEAKER_07 |
transcript.pyannote[908].start |
9240.02159375 |
transcript.pyannote[908].end |
9245.23596875 |
transcript.pyannote[909].speaker |
SPEAKER_06 |
transcript.pyannote[909].start |
9240.57846875 |
transcript.pyannote[909].end |
9241.52346875 |
transcript.pyannote[910].speaker |
SPEAKER_06 |
transcript.pyannote[910].start |
9243.02534375 |
transcript.pyannote[910].end |
9243.44721875 |
transcript.pyannote[911].speaker |
SPEAKER_07 |
transcript.pyannote[911].start |
9245.55659375 |
transcript.pyannote[911].end |
9265.09784375 |
transcript.pyannote[912].speaker |
SPEAKER_00 |
transcript.pyannote[912].start |
9251.74971875 |
transcript.pyannote[912].end |
9251.76659375 |
transcript.pyannote[913].speaker |
SPEAKER_06 |
transcript.pyannote[913].start |
9251.76659375 |
transcript.pyannote[913].end |
9252.13784375 |
transcript.pyannote[914].speaker |
SPEAKER_03 |
transcript.pyannote[914].start |
9257.67284375 |
transcript.pyannote[914].end |
9258.01034375 |
transcript.pyannote[915].speaker |
SPEAKER_03 |
transcript.pyannote[915].start |
9264.10221875 |
transcript.pyannote[915].end |
9275.12159375 |
transcript.pyannote[916].speaker |
SPEAKER_07 |
transcript.pyannote[916].start |
9274.22721875 |
transcript.pyannote[916].end |
9275.13846875 |
transcript.pyannote[917].speaker |
SPEAKER_03 |
transcript.pyannote[917].start |
9275.13846875 |
transcript.pyannote[917].end |
9275.54346875 |
transcript.pyannote[918].speaker |
SPEAKER_07 |
transcript.pyannote[918].start |
9275.72909375 |
transcript.pyannote[918].end |
9299.57346875 |
transcript.pyannote[919].speaker |
SPEAKER_03 |
transcript.pyannote[919].start |
9277.55159375 |
transcript.pyannote[919].end |
9278.58096875 |
transcript.pyannote[920].speaker |
SPEAKER_06 |
transcript.pyannote[920].start |
9278.58096875 |
transcript.pyannote[920].end |
9278.61471875 |
transcript.pyannote[921].speaker |
SPEAKER_03 |
transcript.pyannote[921].start |
9293.59971875 |
transcript.pyannote[921].end |
9293.97096875 |
transcript.pyannote[922].speaker |
SPEAKER_03 |
transcript.pyannote[922].start |
9296.35034375 |
transcript.pyannote[922].end |
9297.32909375 |
transcript.pyannote[923].speaker |
SPEAKER_07 |
transcript.pyannote[923].start |
9299.97846875 |
transcript.pyannote[923].end |
9302.05409375 |
transcript.pyannote[924].speaker |
SPEAKER_03 |
transcript.pyannote[924].start |
9302.05409375 |
transcript.pyannote[924].end |
9302.83034375 |
transcript.pyannote[925].speaker |
SPEAKER_07 |
transcript.pyannote[925].start |
9302.32409375 |
transcript.pyannote[925].end |
9306.23909375 |
transcript.pyannote[926].speaker |
SPEAKER_07 |
transcript.pyannote[926].start |
9306.89721875 |
transcript.pyannote[926].end |
9359.29409375 |
transcript.pyannote[927].speaker |
SPEAKER_06 |
transcript.pyannote[927].start |
9309.46221875 |
transcript.pyannote[927].end |
9309.79971875 |
transcript.pyannote[928].speaker |
SPEAKER_06 |
transcript.pyannote[928].start |
9317.66346875 |
transcript.pyannote[928].end |
9317.91659375 |
transcript.pyannote[929].speaker |
SPEAKER_06 |
transcript.pyannote[929].start |
9336.10784375 |
transcript.pyannote[929].end |
9336.22596875 |
transcript.pyannote[930].speaker |
SPEAKER_06 |
transcript.pyannote[930].start |
9336.98534375 |
transcript.pyannote[930].end |
9337.40721875 |
transcript.pyannote[931].speaker |
SPEAKER_00 |
transcript.pyannote[931].start |
9338.68971875 |
transcript.pyannote[931].end |
9338.89221875 |
transcript.pyannote[932].speaker |
SPEAKER_03 |
transcript.pyannote[932].start |
9359.42909375 |
transcript.pyannote[932].end |
9368.35596875 |
transcript.pyannote[933].speaker |
SPEAKER_07 |
transcript.pyannote[933].start |
9367.02284375 |
transcript.pyannote[933].end |
9374.09346875 |
transcript.pyannote[934].speaker |
SPEAKER_03 |
transcript.pyannote[934].start |
9368.60909375 |
transcript.pyannote[934].end |
9369.25034375 |
transcript.pyannote[935].speaker |
SPEAKER_03 |
transcript.pyannote[935].start |
9373.33409375 |
transcript.pyannote[935].end |
9374.44784375 |
transcript.pyannote[936].speaker |
SPEAKER_10 |
transcript.pyannote[936].start |
9377.58659375 |
transcript.pyannote[936].end |
9381.83909375 |
transcript.pyannote[937].speaker |
SPEAKER_01 |
transcript.pyannote[937].start |
9390.93471875 |
transcript.pyannote[937].end |
9394.56284375 |
transcript.pyannote[938].speaker |
SPEAKER_07 |
transcript.pyannote[938].start |
9394.79909375 |
transcript.pyannote[938].end |
9395.64284375 |
transcript.pyannote[939].speaker |
SPEAKER_03 |
transcript.pyannote[939].start |
9401.78534375 |
transcript.pyannote[939].end |
9401.88659375 |
transcript.pyannote[940].speaker |
SPEAKER_07 |
transcript.pyannote[940].start |
9401.88659375 |
transcript.pyannote[940].end |
9401.92034375 |
transcript.pyannote[941].speaker |
SPEAKER_03 |
transcript.pyannote[941].start |
9401.92034375 |
transcript.pyannote[941].end |
9402.56159375 |
transcript.pyannote[942].speaker |
SPEAKER_01 |
transcript.pyannote[942].start |
9402.56159375 |
transcript.pyannote[942].end |
9402.98346875 |
transcript.pyannote[943].speaker |
SPEAKER_01 |
transcript.pyannote[943].start |
9403.30409375 |
transcript.pyannote[943].end |
9411.57284375 |
transcript.pyannote[944].speaker |
SPEAKER_01 |
transcript.pyannote[944].start |
9411.89346875 |
transcript.pyannote[944].end |
9491.56034375 |
transcript.pyannote[945].speaker |
SPEAKER_01 |
transcript.pyannote[945].start |
9491.88096875 |
transcript.pyannote[945].end |
9498.58034375 |
transcript.pyannote[946].speaker |
SPEAKER_01 |
transcript.pyannote[946].start |
9498.96846875 |
transcript.pyannote[946].end |
9499.40721875 |
transcript.pyannote[947].speaker |
SPEAKER_01 |
transcript.pyannote[947].start |
9499.54221875 |
transcript.pyannote[947].end |
9504.14909375 |
transcript.pyannote[948].speaker |
SPEAKER_03 |
transcript.pyannote[948].start |
9504.50346875 |
transcript.pyannote[948].end |
9521.14221875 |
transcript.pyannote[949].speaker |
SPEAKER_03 |
transcript.pyannote[949].start |
9521.76659375 |
transcript.pyannote[949].end |
9535.01346875 |
transcript.pyannote[950].speaker |
SPEAKER_01 |
transcript.pyannote[950].start |
9533.17409375 |
transcript.pyannote[950].end |
9539.73846875 |
transcript.pyannote[951].speaker |
SPEAKER_03 |
transcript.pyannote[951].start |
9536.00909375 |
transcript.pyannote[951].end |
9536.21159375 |
transcript.pyannote[952].speaker |
SPEAKER_01 |
transcript.pyannote[952].start |
9539.92409375 |
transcript.pyannote[952].end |
9573.64034375 |
transcript.pyannote[953].speaker |
SPEAKER_03 |
transcript.pyannote[953].start |
9551.46659375 |
transcript.pyannote[953].end |
9551.87159375 |
transcript.pyannote[954].speaker |
SPEAKER_03 |
transcript.pyannote[954].start |
9552.31034375 |
transcript.pyannote[954].end |
9553.91346875 |
transcript.pyannote[955].speaker |
SPEAKER_01 |
transcript.pyannote[955].start |
9573.72471875 |
transcript.pyannote[955].end |
9573.74159375 |
transcript.pyannote[956].speaker |
SPEAKER_03 |
transcript.pyannote[956].start |
9573.74159375 |
transcript.pyannote[956].end |
9574.29846875 |
transcript.pyannote[957].speaker |
SPEAKER_01 |
transcript.pyannote[957].start |
9574.29846875 |
transcript.pyannote[957].end |
9633.15846875 |
transcript.pyannote[958].speaker |
SPEAKER_03 |
transcript.pyannote[958].start |
9632.07846875 |
transcript.pyannote[958].end |
9634.50846875 |
transcript.pyannote[959].speaker |
SPEAKER_03 |
transcript.pyannote[959].start |
9634.79534375 |
transcript.pyannote[959].end |
9658.06596875 |
transcript.pyannote[960].speaker |
SPEAKER_01 |
transcript.pyannote[960].start |
9655.04534375 |
transcript.pyannote[960].end |
9656.04096875 |
transcript.pyannote[961].speaker |
SPEAKER_01 |
transcript.pyannote[961].start |
9657.17159375 |
transcript.pyannote[961].end |
9659.60159375 |
transcript.pyannote[962].speaker |
SPEAKER_03 |
transcript.pyannote[962].start |
9658.40346875 |
transcript.pyannote[962].end |
9662.21721875 |
transcript.pyannote[963].speaker |
SPEAKER_01 |
transcript.pyannote[963].start |
9662.21721875 |
transcript.pyannote[963].end |
9665.64284375 |
transcript.pyannote[964].speaker |
SPEAKER_03 |
transcript.pyannote[964].start |
9664.03971875 |
transcript.pyannote[964].end |
9665.10284375 |
transcript.pyannote[965].speaker |
SPEAKER_01 |
transcript.pyannote[965].start |
9665.89596875 |
transcript.pyannote[965].end |
9671.11034375 |
transcript.pyannote[966].speaker |
SPEAKER_03 |
transcript.pyannote[966].start |
9669.27096875 |
transcript.pyannote[966].end |
9669.43971875 |
transcript.pyannote[967].speaker |
SPEAKER_01 |
transcript.pyannote[967].start |
9671.56596875 |
transcript.pyannote[967].end |
9671.59971875 |
transcript.pyannote[968].speaker |
SPEAKER_03 |
transcript.pyannote[968].start |
9671.59971875 |
transcript.pyannote[968].end |
9671.63346875 |
transcript.pyannote[969].speaker |
SPEAKER_01 |
transcript.pyannote[969].start |
9671.63346875 |
transcript.pyannote[969].end |
9672.79784375 |
transcript.pyannote[970].speaker |
SPEAKER_03 |
transcript.pyannote[970].start |
9671.65034375 |
transcript.pyannote[970].end |
9674.33346875 |
transcript.pyannote[971].speaker |
SPEAKER_01 |
transcript.pyannote[971].start |
9674.33346875 |
transcript.pyannote[971].end |
9679.58159375 |
transcript.pyannote[972].speaker |
SPEAKER_03 |
transcript.pyannote[972].start |
9674.97471875 |
transcript.pyannote[972].end |
9675.37971875 |
transcript.pyannote[973].speaker |
SPEAKER_03 |
transcript.pyannote[973].start |
9675.90284375 |
transcript.pyannote[973].end |
9679.73346875 |
transcript.pyannote[974].speaker |
SPEAKER_01 |
transcript.pyannote[974].start |
9679.73346875 |
transcript.pyannote[974].end |
9735.70784375 |
transcript.pyannote[975].speaker |
SPEAKER_03 |
transcript.pyannote[975].start |
9681.13409375 |
transcript.pyannote[975].end |
9681.50534375 |
transcript.pyannote[976].speaker |
SPEAKER_03 |
transcript.pyannote[976].start |
9687.34409375 |
transcript.pyannote[976].end |
9688.20471875 |
transcript.pyannote[977].speaker |
SPEAKER_03 |
transcript.pyannote[977].start |
9689.70659375 |
transcript.pyannote[977].end |
9690.02721875 |
transcript.pyannote[978].speaker |
SPEAKER_12 |
transcript.pyannote[978].start |
9690.02721875 |
transcript.pyannote[978].end |
9690.49971875 |
transcript.pyannote[979].speaker |
SPEAKER_03 |
transcript.pyannote[979].start |
9690.49971875 |
transcript.pyannote[979].end |
9690.61784375 |
transcript.pyannote[980].speaker |
SPEAKER_06 |
transcript.pyannote[980].start |
9730.45971875 |
transcript.pyannote[980].end |
9730.86471875 |
transcript.pyannote[981].speaker |
SPEAKER_06 |
transcript.pyannote[981].start |
9735.70784375 |
transcript.pyannote[981].end |
9735.74159375 |
transcript.pyannote[982].speaker |
SPEAKER_03 |
transcript.pyannote[982].start |
9735.74159375 |
transcript.pyannote[982].end |
9735.91034375 |
transcript.pyannote[983].speaker |
SPEAKER_06 |
transcript.pyannote[983].start |
9735.91034375 |
transcript.pyannote[983].end |
9736.14659375 |
transcript.pyannote[984].speaker |
SPEAKER_01 |
transcript.pyannote[984].start |
9736.14659375 |
transcript.pyannote[984].end |
9738.52596875 |
transcript.pyannote[985].speaker |
SPEAKER_03 |
transcript.pyannote[985].start |
9736.14659375 |
transcript.pyannote[985].end |
9755.97471875 |
transcript.pyannote[986].speaker |
SPEAKER_06 |
transcript.pyannote[986].start |
9753.89909375 |
transcript.pyannote[986].end |
9753.93284375 |
transcript.pyannote[987].speaker |
SPEAKER_01 |
transcript.pyannote[987].start |
9753.93284375 |
transcript.pyannote[987].end |
9754.38846875 |
transcript.pyannote[988].speaker |
SPEAKER_06 |
transcript.pyannote[988].start |
9754.38846875 |
transcript.pyannote[988].end |
9754.54034375 |
transcript.pyannote[989].speaker |
SPEAKER_01 |
transcript.pyannote[989].start |
9754.54034375 |
transcript.pyannote[989].end |
9754.89471875 |
transcript.pyannote[990].speaker |
SPEAKER_06 |
transcript.pyannote[990].start |
9754.89471875 |
transcript.pyannote[990].end |
9754.91159375 |
transcript.pyannote[991].speaker |
SPEAKER_01 |
transcript.pyannote[991].start |
9754.91159375 |
transcript.pyannote[991].end |
9765.08721875 |
transcript.pyannote[992].speaker |
SPEAKER_06 |
transcript.pyannote[992].start |
9755.97471875 |
transcript.pyannote[992].end |
9756.02534375 |
transcript.pyannote[993].speaker |
SPEAKER_03 |
transcript.pyannote[993].start |
9756.02534375 |
transcript.pyannote[993].end |
9756.91971875 |
transcript.pyannote[994].speaker |
SPEAKER_03 |
transcript.pyannote[994].start |
9762.33659375 |
transcript.pyannote[994].end |
9766.35284375 |
transcript.pyannote[995].speaker |
SPEAKER_03 |
transcript.pyannote[995].start |
9766.74096875 |
transcript.pyannote[995].end |
9770.28471875 |
transcript.pyannote[996].speaker |
SPEAKER_01 |
transcript.pyannote[996].start |
9768.49596875 |
transcript.pyannote[996].end |
9780.89909375 |
transcript.pyannote[997].speaker |
SPEAKER_03 |
transcript.pyannote[997].start |
9772.09034375 |
transcript.pyannote[997].end |
9772.98471875 |
transcript.pyannote[998].speaker |
SPEAKER_03 |
transcript.pyannote[998].start |
9773.87909375 |
transcript.pyannote[998].end |
9779.19471875 |
transcript.pyannote[999].speaker |
SPEAKER_07 |
transcript.pyannote[999].start |
9779.19471875 |
transcript.pyannote[999].end |
9779.27909375 |
transcript.pyannote[1000].speaker |
SPEAKER_03 |
transcript.pyannote[1000].start |
9779.27909375 |
transcript.pyannote[1000].end |
9779.73471875 |
transcript.pyannote[1001].speaker |
SPEAKER_07 |
transcript.pyannote[1001].start |
9779.73471875 |
transcript.pyannote[1001].end |
9780.37596875 |
transcript.pyannote[1002].speaker |
SPEAKER_03 |
transcript.pyannote[1002].start |
9780.37596875 |
transcript.pyannote[1002].end |
9785.86034375 |
transcript.pyannote[1003].speaker |
SPEAKER_07 |
transcript.pyannote[1003].start |
9780.89909375 |
transcript.pyannote[1003].end |
9781.03409375 |
transcript.pyannote[1004].speaker |
SPEAKER_01 |
transcript.pyannote[1004].start |
9781.03409375 |
transcript.pyannote[1004].end |
9781.96221875 |
transcript.pyannote[1005].speaker |
SPEAKER_07 |
transcript.pyannote[1005].start |
9781.96221875 |
transcript.pyannote[1005].end |
9782.18159375 |
transcript.pyannote[1006].speaker |
SPEAKER_01 |
transcript.pyannote[1006].start |
9782.18159375 |
transcript.pyannote[1006].end |
9783.04221875 |
transcript.pyannote[1007].speaker |
SPEAKER_07 |
transcript.pyannote[1007].start |
9783.04221875 |
transcript.pyannote[1007].end |
9783.97034375 |
transcript.pyannote[1008].speaker |
SPEAKER_06 |
transcript.pyannote[1008].start |
9783.97034375 |
transcript.pyannote[1008].end |
9784.05471875 |
transcript.pyannote[1009].speaker |
SPEAKER_07 |
transcript.pyannote[1009].start |
9784.05471875 |
transcript.pyannote[1009].end |
9784.32471875 |
transcript.pyannote[1010].speaker |
SPEAKER_06 |
transcript.pyannote[1010].start |
9784.96596875 |
transcript.pyannote[1010].end |
9785.03346875 |
transcript.pyannote[1011].speaker |
SPEAKER_07 |
transcript.pyannote[1011].start |
9785.42159375 |
transcript.pyannote[1011].end |
9785.45534375 |
transcript.pyannote[1012].speaker |
SPEAKER_07 |
transcript.pyannote[1012].start |
9785.86034375 |
transcript.pyannote[1012].end |
9786.29909375 |
transcript.pyannote[1013].speaker |
SPEAKER_07 |
transcript.pyannote[1013].start |
9787.56471875 |
transcript.pyannote[1013].end |
9796.77846875 |
transcript.pyannote[1014].speaker |
SPEAKER_07 |
transcript.pyannote[1014].start |
9797.68971875 |
transcript.pyannote[1014].end |
9809.16471875 |
transcript.pyannote[1015].speaker |
SPEAKER_04 |
transcript.pyannote[1015].start |
9818.53034375 |
transcript.pyannote[1015].end |
9820.75784375 |
transcript.pyannote[1016].speaker |
SPEAKER_07 |
transcript.pyannote[1016].start |
9820.85909375 |
transcript.pyannote[1016].end |
9821.66909375 |
transcript.pyannote[1017].speaker |
SPEAKER_04 |
transcript.pyannote[1017].start |
9826.90034375 |
transcript.pyannote[1017].end |
9828.40221875 |
transcript.pyannote[1018].speaker |
SPEAKER_04 |
transcript.pyannote[1018].start |
9829.26284375 |
transcript.pyannote[1018].end |
9860.98784375 |
transcript.pyannote[1019].speaker |
SPEAKER_06 |
transcript.pyannote[1019].start |
9834.73034375 |
transcript.pyannote[1019].end |
9834.84846875 |
transcript.pyannote[1020].speaker |
SPEAKER_04 |
transcript.pyannote[1020].start |
9861.20721875 |
transcript.pyannote[1020].end |
9885.92909375 |
transcript.pyannote[1021].speaker |
SPEAKER_04 |
transcript.pyannote[1021].start |
9886.78971875 |
transcript.pyannote[1021].end |
9897.10034375 |
transcript.pyannote[1022].speaker |
SPEAKER_04 |
transcript.pyannote[1022].start |
9897.30284375 |
transcript.pyannote[1022].end |
9907.93409375 |
transcript.pyannote[1023].speaker |
SPEAKER_03 |
transcript.pyannote[1023].start |
9907.93409375 |
transcript.pyannote[1023].end |
9908.23784375 |
transcript.pyannote[1024].speaker |
SPEAKER_04 |
transcript.pyannote[1024].start |
9908.23784375 |
transcript.pyannote[1024].end |
9908.28846875 |
transcript.pyannote[1025].speaker |
SPEAKER_03 |
transcript.pyannote[1025].start |
9908.28846875 |
transcript.pyannote[1025].end |
9952.04534375 |
transcript.pyannote[1026].speaker |
SPEAKER_03 |
transcript.pyannote[1026].start |
9952.23096875 |
transcript.pyannote[1026].end |
9952.68659375 |
transcript.pyannote[1027].speaker |
SPEAKER_03 |
transcript.pyannote[1027].start |
9952.99034375 |
transcript.pyannote[1027].end |
9955.03221875 |
transcript.pyannote[1028].speaker |
SPEAKER_03 |
transcript.pyannote[1028].start |
9955.31909375 |
transcript.pyannote[1028].end |
9967.94159375 |
transcript.pyannote[1029].speaker |
SPEAKER_03 |
transcript.pyannote[1029].start |
9968.58284375 |
transcript.pyannote[1029].end |
10042.02284375 |
transcript.pyannote[1030].speaker |
SPEAKER_04 |
transcript.pyannote[1030].start |
10042.02284375 |
transcript.pyannote[1030].end |
10089.00284375 |
transcript.pyannote[1031].speaker |
SPEAKER_00 |
transcript.pyannote[1031].start |
10049.98784375 |
transcript.pyannote[1031].end |
10050.39284375 |
transcript.pyannote[1032].speaker |
SPEAKER_04 |
transcript.pyannote[1032].start |
10089.57659375 |
transcript.pyannote[1032].end |
10089.59346875 |
transcript.pyannote[1033].speaker |
SPEAKER_03 |
transcript.pyannote[1033].start |
10089.59346875 |
transcript.pyannote[1033].end |
10090.04909375 |
transcript.pyannote[1034].speaker |
SPEAKER_03 |
transcript.pyannote[1034].start |
10090.74096875 |
transcript.pyannote[1034].end |
10092.29346875 |
transcript.pyannote[1035].speaker |
SPEAKER_03 |
transcript.pyannote[1035].start |
10093.25534375 |
transcript.pyannote[1035].end |
10173.22596875 |
transcript.pyannote[1036].speaker |
SPEAKER_04 |
transcript.pyannote[1036].start |
10136.94471875 |
transcript.pyannote[1036].end |
10137.33284375 |
transcript.pyannote[1037].speaker |
SPEAKER_04 |
transcript.pyannote[1037].start |
10138.14284375 |
transcript.pyannote[1037].end |
10138.63221875 |
transcript.pyannote[1038].speaker |
SPEAKER_04 |
transcript.pyannote[1038].start |
10173.41159375 |
transcript.pyannote[1038].end |
10226.97284375 |
transcript.pyannote[1039].speaker |
SPEAKER_03 |
transcript.pyannote[1039].start |
10226.97284375 |
transcript.pyannote[1039].end |
10227.61409375 |
transcript.pyannote[1040].speaker |
SPEAKER_04 |
transcript.pyannote[1040].start |
10227.61409375 |
transcript.pyannote[1040].end |
10227.96846875 |
transcript.pyannote[1041].speaker |
SPEAKER_03 |
transcript.pyannote[1041].start |
10227.96846875 |
transcript.pyannote[1041].end |
10256.28471875 |
transcript.pyannote[1042].speaker |
SPEAKER_07 |
transcript.pyannote[1042].start |
10250.36159375 |
transcript.pyannote[1042].end |
10252.28534375 |
transcript.pyannote[1043].speaker |
SPEAKER_07 |
transcript.pyannote[1043].start |
10255.15409375 |
transcript.pyannote[1043].end |
10259.55846875 |
transcript.pyannote[1044].speaker |
SPEAKER_07 |
transcript.pyannote[1044].start |
10259.87909375 |
transcript.pyannote[1044].end |
10279.45409375 |
transcript.pyannote[1045].speaker |
SPEAKER_00 |
transcript.pyannote[1045].start |
10277.51346875 |
transcript.pyannote[1045].end |
10277.66534375 |
transcript.pyannote[1046].speaker |
SPEAKER_06 |
transcript.pyannote[1046].start |
10277.66534375 |
transcript.pyannote[1046].end |
10277.73284375 |
transcript.pyannote[1047].speaker |
SPEAKER_00 |
transcript.pyannote[1047].start |
10277.73284375 |
transcript.pyannote[1047].end |
10277.86784375 |
transcript.pyannote[1048].speaker |
SPEAKER_07 |
transcript.pyannote[1048].start |
10279.79159375 |
transcript.pyannote[1048].end |
10284.97221875 |
transcript.pyannote[1049].speaker |
SPEAKER_07 |
transcript.pyannote[1049].start |
10285.39409375 |
transcript.pyannote[1049].end |
10287.84096875 |
transcript.pyannote[1050].speaker |
SPEAKER_07 |
transcript.pyannote[1050].start |
10287.99284375 |
transcript.pyannote[1050].end |
10302.94409375 |
transcript.pyannote[1051].speaker |
SPEAKER_07 |
transcript.pyannote[1051].start |
10303.36596875 |
transcript.pyannote[1051].end |
10313.96346875 |
transcript.pyannote[1052].speaker |
SPEAKER_07 |
transcript.pyannote[1052].start |
10319.21159375 |
transcript.pyannote[1052].end |
10319.66721875 |
transcript.pyannote[1053].speaker |
SPEAKER_06 |
transcript.pyannote[1053].start |
10325.64096875 |
transcript.pyannote[1053].end |
10326.50159375 |
transcript.pyannote[1054].speaker |
SPEAKER_07 |
transcript.pyannote[1054].start |
10328.57721875 |
transcript.pyannote[1054].end |
10330.93971875 |
transcript.pyannote[1055].speaker |
SPEAKER_07 |
transcript.pyannote[1055].start |
10332.27284375 |
transcript.pyannote[1055].end |
10332.71159375 |
transcript.pyannote[1056].speaker |
SPEAKER_07 |
transcript.pyannote[1056].start |
10334.43284375 |
transcript.pyannote[1056].end |
10339.07346875 |
transcript.pyannote[1057].speaker |
SPEAKER_07 |
transcript.pyannote[1057].start |
11140.38284375 |
transcript.pyannote[1057].end |
11142.88034375 |
transcript.pyannote[1058].speaker |
SPEAKER_06 |
transcript.pyannote[1058].start |
11143.36971875 |
transcript.pyannote[1058].end |
11143.38659375 |
transcript.pyannote[1059].speaker |
SPEAKER_07 |
transcript.pyannote[1059].start |
11143.38659375 |
transcript.pyannote[1059].end |
11143.97721875 |
transcript.pyannote[1060].speaker |
SPEAKER_06 |
transcript.pyannote[1060].start |
11143.97721875 |
transcript.pyannote[1060].end |
11144.61846875 |
transcript.pyannote[1061].speaker |
SPEAKER_07 |
transcript.pyannote[1061].start |
11144.61846875 |
transcript.pyannote[1061].end |
11144.98971875 |
transcript.pyannote[1062].speaker |
SPEAKER_02 |
transcript.pyannote[1062].start |
11144.61846875 |
transcript.pyannote[1062].end |
11145.07409375 |
transcript.pyannote[1063].speaker |
SPEAKER_06 |
transcript.pyannote[1063].start |
11144.98971875 |
transcript.pyannote[1063].end |
11148.33096875 |
transcript.pyannote[1064].speaker |
SPEAKER_02 |
transcript.pyannote[1064].start |
11146.03596875 |
transcript.pyannote[1064].end |
11148.34784375 |
transcript.pyannote[1065].speaker |
SPEAKER_06 |
transcript.pyannote[1065].start |
11148.34784375 |
transcript.pyannote[1065].end |
11148.39846875 |
transcript.pyannote[1066].speaker |
SPEAKER_02 |
transcript.pyannote[1066].start |
11148.39846875 |
transcript.pyannote[1066].end |
11148.41534375 |
transcript.pyannote[1067].speaker |
SPEAKER_07 |
transcript.pyannote[1067].start |
11161.37534375 |
transcript.pyannote[1067].end |
11171.93909375 |
transcript.pyannote[1068].speaker |
SPEAKER_07 |
transcript.pyannote[1068].start |
11172.69846875 |
transcript.pyannote[1068].end |
11209.78971875 |
transcript.pyannote[1069].speaker |
SPEAKER_02 |
transcript.pyannote[1069].start |
11207.68034375 |
transcript.pyannote[1069].end |
11208.10221875 |
transcript.pyannote[1070].speaker |
SPEAKER_02 |
transcript.pyannote[1070].start |
11209.68846875 |
transcript.pyannote[1070].end |
11249.61471875 |
transcript.pyannote[1071].speaker |
SPEAKER_07 |
transcript.pyannote[1071].start |
11248.97346875 |
transcript.pyannote[1071].end |
11289.08534375 |
transcript.pyannote[1072].speaker |
SPEAKER_02 |
transcript.pyannote[1072].start |
11249.80034375 |
transcript.pyannote[1072].end |
11250.17159375 |
transcript.pyannote[1073].speaker |
SPEAKER_03 |
transcript.pyannote[1073].start |
11292.54471875 |
transcript.pyannote[1073].end |
11294.72159375 |
transcript.pyannote[1074].speaker |
SPEAKER_07 |
transcript.pyannote[1074].start |
11294.38409375 |
transcript.pyannote[1074].end |
11299.46346875 |
transcript.pyannote[1075].speaker |
SPEAKER_03 |
transcript.pyannote[1075].start |
11299.81784375 |
transcript.pyannote[1075].end |
11330.58096875 |
transcript.pyannote[1076].speaker |
SPEAKER_07 |
transcript.pyannote[1076].start |
11329.77096875 |
transcript.pyannote[1076].end |
11332.97721875 |
transcript.pyannote[1077].speaker |
SPEAKER_07 |
transcript.pyannote[1077].start |
11333.51721875 |
transcript.pyannote[1077].end |
11348.09721875 |
transcript.pyannote[1078].speaker |
SPEAKER_07 |
transcript.pyannote[1078].start |
11348.41784375 |
transcript.pyannote[1078].end |
11361.25971875 |
transcript.pyannote[1079].speaker |
SPEAKER_07 |
transcript.pyannote[1079].start |
11361.49596875 |
transcript.pyannote[1079].end |
11363.20034375 |
transcript.pyannote[1080].speaker |
SPEAKER_07 |
transcript.pyannote[1080].start |
11363.57159375 |
transcript.pyannote[1080].end |
11366.06909375 |
transcript.pyannote[1081].speaker |
SPEAKER_07 |
transcript.pyannote[1081].start |
11366.44034375 |
transcript.pyannote[1081].end |
11367.06471875 |
transcript.pyannote[1082].speaker |
SPEAKER_07 |
transcript.pyannote[1082].start |
11367.79034375 |
transcript.pyannote[1082].end |
11369.14034375 |
transcript.pyannote[1083].speaker |
SPEAKER_07 |
transcript.pyannote[1083].start |
11370.76034375 |
transcript.pyannote[1083].end |
11372.98784375 |
transcript.pyannote[1084].speaker |
SPEAKER_12 |
transcript.pyannote[1084].start |
11373.24096875 |
transcript.pyannote[1084].end |
11379.97409375 |
transcript.pyannote[1085].speaker |
SPEAKER_07 |
transcript.pyannote[1085].start |
11374.91159375 |
transcript.pyannote[1085].end |
11376.46409375 |
transcript.pyannote[1086].speaker |
SPEAKER_07 |
transcript.pyannote[1086].start |
11380.24409375 |
transcript.pyannote[1086].end |
11384.26034375 |
transcript.pyannote[1087].speaker |
SPEAKER_12 |
transcript.pyannote[1087].start |
11380.54784375 |
transcript.pyannote[1087].end |
11381.29034375 |
transcript.pyannote[1088].speaker |
SPEAKER_12 |
transcript.pyannote[1088].start |
11381.52659375 |
transcript.pyannote[1088].end |
11382.08346875 |
transcript.pyannote[1089].speaker |
SPEAKER_12 |
transcript.pyannote[1089].start |
11382.96096875 |
transcript.pyannote[1089].end |
11383.83846875 |
transcript.pyannote[1090].speaker |
SPEAKER_12 |
transcript.pyannote[1090].start |
11383.87221875 |
transcript.pyannote[1090].end |
11387.83784375 |
transcript.pyannote[1091].speaker |
SPEAKER_07 |
transcript.pyannote[1091].start |
11386.79159375 |
transcript.pyannote[1091].end |
11389.72784375 |
transcript.pyannote[1092].speaker |
SPEAKER_12 |
transcript.pyannote[1092].start |
11389.12034375 |
transcript.pyannote[1092].end |
11393.10284375 |
transcript.pyannote[1093].speaker |
SPEAKER_07 |
transcript.pyannote[1093].start |
11392.22534375 |
transcript.pyannote[1093].end |
11396.17409375 |
transcript.pyannote[1094].speaker |
SPEAKER_07 |
transcript.pyannote[1094].start |
11396.24159375 |
transcript.pyannote[1094].end |
11399.24534375 |
transcript.pyannote[1095].speaker |
SPEAKER_07 |
transcript.pyannote[1095].start |
11399.49846875 |
transcript.pyannote[1095].end |
11410.70346875 |
transcript.pyannote[1096].speaker |
SPEAKER_07 |
transcript.pyannote[1096].start |
11412.32346875 |
transcript.pyannote[1096].end |
11415.76596875 |
transcript.pyannote[1097].speaker |
SPEAKER_09 |
transcript.pyannote[1097].start |
11413.31909375 |
transcript.pyannote[1097].end |
11413.60596875 |
transcript.pyannote[1098].speaker |
SPEAKER_07 |
transcript.pyannote[1098].start |
11415.90096875 |
transcript.pyannote[1098].end |
11431.18971875 |
transcript.pyannote[1099].speaker |
SPEAKER_03 |
transcript.pyannote[1099].start |
11431.12221875 |
transcript.pyannote[1099].end |
11441.60159375 |
transcript.pyannote[1100].speaker |
SPEAKER_07 |
transcript.pyannote[1100].start |
11441.60159375 |
transcript.pyannote[1100].end |
11441.70284375 |
transcript.pyannote[1101].speaker |
SPEAKER_03 |
transcript.pyannote[1101].start |
11441.70284375 |
transcript.pyannote[1101].end |
11441.78721875 |
transcript.pyannote[1102].speaker |
SPEAKER_07 |
transcript.pyannote[1102].start |
11441.78721875 |
transcript.pyannote[1102].end |
11452.11471875 |
transcript.pyannote[1103].speaker |
SPEAKER_03 |
transcript.pyannote[1103].start |
11452.73909375 |
transcript.pyannote[1103].end |
11485.62846875 |
transcript.pyannote[1104].speaker |
SPEAKER_07 |
transcript.pyannote[1104].start |
11487.01221875 |
transcript.pyannote[1104].end |
11493.10409375 |
transcript.pyannote[1105].speaker |
SPEAKER_04 |
transcript.pyannote[1105].start |
11493.32346875 |
transcript.pyannote[1105].end |
11500.29284375 |
transcript.pyannote[1106].speaker |
SPEAKER_04 |
transcript.pyannote[1106].start |
11500.56284375 |
transcript.pyannote[1106].end |
11535.12284375 |
transcript.pyannote[1107].speaker |
SPEAKER_07 |
transcript.pyannote[1107].start |
11535.12284375 |
transcript.pyannote[1107].end |
11535.13971875 |
transcript.pyannote[1108].speaker |
SPEAKER_07 |
transcript.pyannote[1108].start |
11535.61221875 |
transcript.pyannote[1108].end |
11539.07159375 |
transcript.pyannote[1109].speaker |
SPEAKER_00 |
transcript.pyannote[1109].start |
11540.40471875 |
transcript.pyannote[1109].end |
11543.72909375 |
transcript.pyannote[1110].speaker |
SPEAKER_07 |
transcript.pyannote[1110].start |
11543.79659375 |
transcript.pyannote[1110].end |
11545.28159375 |
transcript.pyannote[1111].speaker |
SPEAKER_12 |
transcript.pyannote[1111].start |
11548.21784375 |
transcript.pyannote[1111].end |
11565.07596875 |
transcript.pyannote[1112].speaker |
SPEAKER_12 |
transcript.pyannote[1112].start |
11565.48096875 |
transcript.pyannote[1112].end |
11567.11784375 |
transcript.pyannote[1113].speaker |
SPEAKER_12 |
transcript.pyannote[1113].start |
11567.23596875 |
transcript.pyannote[1113].end |
11568.92346875 |
transcript.pyannote[1114].speaker |
SPEAKER_12 |
transcript.pyannote[1114].start |
11569.68284375 |
transcript.pyannote[1114].end |
11571.64034375 |
transcript.pyannote[1115].speaker |
SPEAKER_07 |
transcript.pyannote[1115].start |
11572.53471875 |
transcript.pyannote[1115].end |
11575.21784375 |
transcript.pyannote[1116].speaker |
SPEAKER_12 |
transcript.pyannote[1116].start |
11575.38659375 |
transcript.pyannote[1116].end |
11575.72409375 |
transcript.pyannote[1117].speaker |
SPEAKER_07 |
transcript.pyannote[1117].start |
11575.53846875 |
transcript.pyannote[1117].end |
11587.41846875 |
transcript.pyannote[1118].speaker |
SPEAKER_06 |
transcript.pyannote[1118].start |
11575.72409375 |
transcript.pyannote[1118].end |
11576.07846875 |
transcript.pyannote[1119].speaker |
SPEAKER_06 |
transcript.pyannote[1119].start |
11576.48346875 |
transcript.pyannote[1119].end |
11576.50034375 |
transcript.pyannote[1120].speaker |
SPEAKER_12 |
transcript.pyannote[1120].start |
11576.50034375 |
transcript.pyannote[1120].end |
11576.51721875 |
transcript.pyannote[1121].speaker |
SPEAKER_06 |
transcript.pyannote[1121].start |
11576.51721875 |
transcript.pyannote[1121].end |
11578.40721875 |
transcript.pyannote[1122].speaker |
SPEAKER_06 |
transcript.pyannote[1122].start |
11580.39846875 |
transcript.pyannote[1122].end |
11580.88784375 |
transcript.pyannote[1123].speaker |
SPEAKER_07 |
transcript.pyannote[1123].start |
11587.97534375 |
transcript.pyannote[1123].end |
11589.13971875 |
transcript.pyannote[1124].speaker |
SPEAKER_03 |
transcript.pyannote[1124].start |
11591.28284375 |
transcript.pyannote[1124].end |
11618.63721875 |
transcript.pyannote[1125].speaker |
SPEAKER_07 |
transcript.pyannote[1125].start |
11618.63721875 |
transcript.pyannote[1125].end |
11620.96596875 |
transcript.pyannote[1126].speaker |
SPEAKER_03 |
transcript.pyannote[1126].start |
11620.96596875 |
transcript.pyannote[1126].end |
11621.21909375 |
transcript.pyannote[1127].speaker |
SPEAKER_07 |
transcript.pyannote[1127].start |
11621.21909375 |
transcript.pyannote[1127].end |
11635.93409375 |
transcript.pyannote[1128].speaker |
SPEAKER_12 |
transcript.pyannote[1128].start |
11627.05784375 |
transcript.pyannote[1128].end |
11627.09159375 |
transcript.pyannote[1129].speaker |
SPEAKER_06 |
transcript.pyannote[1129].start |
11627.09159375 |
transcript.pyannote[1129].end |
11627.10846875 |
transcript.pyannote[1130].speaker |
SPEAKER_12 |
transcript.pyannote[1130].start |
11627.10846875 |
transcript.pyannote[1130].end |
11627.96909375 |
transcript.pyannote[1131].speaker |
SPEAKER_06 |
transcript.pyannote[1131].start |
11627.96909375 |
transcript.pyannote[1131].end |
11628.03659375 |
transcript.pyannote[1132].speaker |
SPEAKER_03 |
transcript.pyannote[1132].start |
11628.03659375 |
transcript.pyannote[1132].end |
11630.50034375 |
transcript.pyannote[1133].speaker |
SPEAKER_06 |
transcript.pyannote[1133].start |
11630.50034375 |
transcript.pyannote[1133].end |
11630.61846875 |
transcript.pyannote[1134].speaker |
SPEAKER_03 |
transcript.pyannote[1134].start |
11631.14159375 |
transcript.pyannote[1134].end |
11632.52534375 |
transcript.pyannote[1135].speaker |
SPEAKER_03 |
transcript.pyannote[1135].start |
11635.71471875 |
transcript.pyannote[1135].end |
11640.74346875 |
transcript.pyannote[1136].speaker |
SPEAKER_07 |
transcript.pyannote[1136].start |
11640.30471875 |
transcript.pyannote[1136].end |
11642.00909375 |
transcript.pyannote[1137].speaker |
SPEAKER_03 |
transcript.pyannote[1137].start |
11641.70534375 |
transcript.pyannote[1137].end |
11642.05971875 |
transcript.pyannote[1138].speaker |
SPEAKER_07 |
transcript.pyannote[1138].start |
11642.05971875 |
transcript.pyannote[1138].end |
11643.42659375 |
transcript.pyannote[1139].speaker |
SPEAKER_07 |
transcript.pyannote[1139].start |
11643.81471875 |
transcript.pyannote[1139].end |
11693.02221875 |
transcript.pyannote[1140].speaker |
SPEAKER_05 |
transcript.pyannote[1140].start |
11693.02221875 |
transcript.pyannote[1140].end |
11725.00034375 |
transcript.pyannote[1141].speaker |
SPEAKER_05 |
transcript.pyannote[1141].start |
11725.77659375 |
transcript.pyannote[1141].end |
11726.56971875 |
transcript.pyannote[1142].speaker |
SPEAKER_07 |
transcript.pyannote[1142].start |
11726.68784375 |
transcript.pyannote[1142].end |
11729.91096875 |
transcript.pyannote[1143].speaker |
SPEAKER_09 |
transcript.pyannote[1143].start |
11730.14721875 |
transcript.pyannote[1143].end |
11735.39534375 |
transcript.pyannote[1144].speaker |
SPEAKER_09 |
transcript.pyannote[1144].start |
11735.59784375 |
transcript.pyannote[1144].end |
11736.42471875 |
transcript.pyannote[1145].speaker |
SPEAKER_09 |
transcript.pyannote[1145].start |
11736.64409375 |
transcript.pyannote[1145].end |
11739.81659375 |
transcript.pyannote[1146].speaker |
SPEAKER_09 |
transcript.pyannote[1146].start |
11740.23846875 |
transcript.pyannote[1146].end |
11744.86221875 |
transcript.pyannote[1147].speaker |
SPEAKER_09 |
transcript.pyannote[1147].start |
11745.08159375 |
transcript.pyannote[1147].end |
11751.03846875 |
transcript.pyannote[1148].speaker |
SPEAKER_07 |
transcript.pyannote[1148].start |
11751.03846875 |
transcript.pyannote[1148].end |
11751.29159375 |
transcript.pyannote[1149].speaker |
SPEAKER_09 |
transcript.pyannote[1149].start |
11751.29159375 |
transcript.pyannote[1149].end |
11751.35909375 |
transcript.pyannote[1150].speaker |
SPEAKER_07 |
transcript.pyannote[1150].start |
11751.35909375 |
transcript.pyannote[1150].end |
11751.44346875 |
transcript.pyannote[1151].speaker |
SPEAKER_09 |
transcript.pyannote[1151].start |
11751.44346875 |
transcript.pyannote[1151].end |
11751.49409375 |
transcript.pyannote[1152].speaker |
SPEAKER_07 |
transcript.pyannote[1152].start |
11751.49409375 |
transcript.pyannote[1152].end |
11751.74721875 |
transcript.pyannote[1153].speaker |
SPEAKER_07 |
transcript.pyannote[1153].start |
11752.06784375 |
transcript.pyannote[1153].end |
11752.55721875 |
transcript.pyannote[1154].speaker |
SPEAKER_07 |
transcript.pyannote[1154].start |
11752.92846875 |
transcript.pyannote[1154].end |
11758.53096875 |
transcript.pyannote[1155].speaker |
SPEAKER_07 |
transcript.pyannote[1155].start |
11759.52659375 |
transcript.pyannote[1155].end |
11761.51784375 |
transcript.pyannote[1156].speaker |
SPEAKER_07 |
transcript.pyannote[1156].start |
11761.60221875 |
transcript.pyannote[1156].end |
11783.67471875 |
transcript.pyannote[1157].speaker |
SPEAKER_07 |
transcript.pyannote[1157].start |
11784.09659375 |
transcript.pyannote[1157].end |
11819.33159375 |
transcript.pyannote[1158].speaker |
SPEAKER_03 |
transcript.pyannote[1158].start |
11820.31034375 |
transcript.pyannote[1158].end |
11821.55909375 |
transcript.pyannote[1159].speaker |
SPEAKER_07 |
transcript.pyannote[1159].start |
11821.08659375 |
transcript.pyannote[1159].end |
11863.96596875 |
transcript.pyannote[1160].speaker |
SPEAKER_07 |
transcript.pyannote[1160].start |
11864.84346875 |
transcript.pyannote[1160].end |
11869.65284375 |
transcript.pyannote[1161].speaker |
SPEAKER_03 |
transcript.pyannote[1161].start |
11870.41221875 |
transcript.pyannote[1161].end |
11945.28659375 |
transcript.pyannote[1162].speaker |
SPEAKER_07 |
transcript.pyannote[1162].start |
11945.59034375 |
transcript.pyannote[1162].end |
11947.91909375 |
transcript.pyannote[1163].speaker |
SPEAKER_05 |
transcript.pyannote[1163].start |
11948.62784375 |
transcript.pyannote[1163].end |
11951.73284375 |
transcript.pyannote[1164].speaker |
SPEAKER_05 |
transcript.pyannote[1164].start |
11952.07034375 |
transcript.pyannote[1164].end |
11993.31284375 |
transcript.pyannote[1165].speaker |
SPEAKER_07 |
transcript.pyannote[1165].start |
11993.76846875 |
transcript.pyannote[1165].end |
11993.95409375 |
transcript.pyannote[1166].speaker |
SPEAKER_07 |
transcript.pyannote[1166].start |
11994.02159375 |
transcript.pyannote[1166].end |
12005.14221875 |
transcript.pyannote[1167].speaker |
SPEAKER_03 |
transcript.pyannote[1167].start |
12004.46721875 |
transcript.pyannote[1167].end |
12004.93971875 |
transcript.pyannote[1168].speaker |
SPEAKER_03 |
transcript.pyannote[1168].start |
12005.56409375 |
transcript.pyannote[1168].end |
12010.49159375 |
transcript.pyannote[1169].speaker |
SPEAKER_07 |
transcript.pyannote[1169].start |
12009.32721875 |
transcript.pyannote[1169].end |
12032.78346875 |
transcript.pyannote[1170].speaker |
SPEAKER_03 |
transcript.pyannote[1170].start |
12034.69034375 |
transcript.pyannote[1170].end |
12065.84159375 |
transcript.pyannote[1171].speaker |
SPEAKER_12 |
transcript.pyannote[1171].start |
12065.84159375 |
transcript.pyannote[1171].end |
12068.91284375 |
transcript.pyannote[1172].speaker |
SPEAKER_03 |
transcript.pyannote[1172].start |
12066.80346875 |
transcript.pyannote[1172].end |
12067.98471875 |
transcript.pyannote[1173].speaker |
SPEAKER_07 |
transcript.pyannote[1173].start |
12067.98471875 |
transcript.pyannote[1173].end |
12069.99284375 |
transcript.pyannote[1174].speaker |
SPEAKER_12 |
transcript.pyannote[1174].start |
12069.03096875 |
transcript.pyannote[1174].end |
12069.33471875 |
transcript.pyannote[1175].speaker |
SPEAKER_12 |
transcript.pyannote[1175].start |
12070.22909375 |
transcript.pyannote[1175].end |
12079.69596875 |
transcript.pyannote[1176].speaker |
SPEAKER_03 |
transcript.pyannote[1176].start |
12076.55721875 |
transcript.pyannote[1176].end |
12077.75534375 |
transcript.pyannote[1177].speaker |
SPEAKER_03 |
transcript.pyannote[1177].start |
12078.49784375 |
transcript.pyannote[1177].end |
12078.56534375 |
transcript.pyannote[1178].speaker |
SPEAKER_03 |
transcript.pyannote[1178].start |
12079.69596875 |
transcript.pyannote[1178].end |
12084.20159375 |
transcript.pyannote[1179].speaker |
SPEAKER_12 |
transcript.pyannote[1179].start |
12079.71284375 |
transcript.pyannote[1179].end |
12080.25284375 |
transcript.pyannote[1180].speaker |
SPEAKER_03 |
transcript.pyannote[1180].start |
12084.48846875 |
transcript.pyannote[1180].end |
12116.98971875 |
transcript.pyannote[1181].speaker |
SPEAKER_03 |
transcript.pyannote[1181].start |
12117.66471875 |
transcript.pyannote[1181].end |
12120.12846875 |
transcript.pyannote[1182].speaker |
SPEAKER_03 |
transcript.pyannote[1182].start |
12120.88784375 |
transcript.pyannote[1182].end |
12121.05659375 |
transcript.pyannote[1183].speaker |
SPEAKER_03 |
transcript.pyannote[1183].start |
12121.79909375 |
transcript.pyannote[1183].end |
12124.61721875 |
transcript.pyannote[1184].speaker |
SPEAKER_07 |
transcript.pyannote[1184].start |
12123.26721875 |
transcript.pyannote[1184].end |
12124.58346875 |
transcript.pyannote[1185].speaker |
SPEAKER_07 |
transcript.pyannote[1185].start |
12124.61721875 |
transcript.pyannote[1185].end |
12131.02971875 |
transcript.pyannote[1186].speaker |
SPEAKER_03 |
transcript.pyannote[1186].start |
12126.81096875 |
transcript.pyannote[1186].end |
12127.18221875 |
transcript.pyannote[1187].speaker |
SPEAKER_03 |
transcript.pyannote[1187].start |
12129.24096875 |
transcript.pyannote[1187].end |
12138.87659375 |
transcript.pyannote[1188].speaker |
SPEAKER_07 |
transcript.pyannote[1188].start |
12139.45034375 |
transcript.pyannote[1188].end |
12139.46721875 |
transcript.pyannote[1189].speaker |
SPEAKER_09 |
transcript.pyannote[1189].start |
12139.46721875 |
transcript.pyannote[1189].end |
12153.70971875 |
transcript.pyannote[1190].speaker |
SPEAKER_03 |
transcript.pyannote[1190].start |
12153.67596875 |
transcript.pyannote[1190].end |
12155.71784375 |
transcript.pyannote[1191].speaker |
SPEAKER_09 |
transcript.pyannote[1191].start |
12155.97096875 |
transcript.pyannote[1191].end |
12156.19034375 |
transcript.pyannote[1192].speaker |
SPEAKER_03 |
transcript.pyannote[1192].start |
12156.19034375 |
transcript.pyannote[1192].end |
12164.99909375 |
transcript.pyannote[1193].speaker |
SPEAKER_07 |
transcript.pyannote[1193].start |
12165.23534375 |
transcript.pyannote[1193].end |
12166.33221875 |
transcript.pyannote[1194].speaker |
SPEAKER_00 |
transcript.pyannote[1194].start |
12166.33221875 |
transcript.pyannote[1194].end |
12166.48409375 |
transcript.pyannote[1195].speaker |
SPEAKER_03 |
transcript.pyannote[1195].start |
12166.36596875 |
transcript.pyannote[1195].end |
12167.44596875 |
transcript.pyannote[1196].speaker |
SPEAKER_07 |
transcript.pyannote[1196].start |
12166.48409375 |
transcript.pyannote[1196].end |
12166.56846875 |
transcript.pyannote[1197].speaker |
SPEAKER_00 |
transcript.pyannote[1197].start |
12166.56846875 |
transcript.pyannote[1197].end |
12167.36159375 |
transcript.pyannote[1198].speaker |
SPEAKER_07 |
transcript.pyannote[1198].start |
12167.36159375 |
transcript.pyannote[1198].end |
12167.37846875 |
transcript.pyannote[1199].speaker |
SPEAKER_00 |
transcript.pyannote[1199].start |
12167.37846875 |
transcript.pyannote[1199].end |
12175.76534375 |
transcript.pyannote[1200].speaker |
SPEAKER_00 |
transcript.pyannote[1200].start |
12175.96784375 |
transcript.pyannote[1200].end |
12195.18846875 |
transcript.pyannote[1201].speaker |
SPEAKER_03 |
transcript.pyannote[1201].start |
12194.83409375 |
transcript.pyannote[1201].end |
12207.82784375 |
transcript.pyannote[1202].speaker |
SPEAKER_07 |
transcript.pyannote[1202].start |
12206.91659375 |
transcript.pyannote[1202].end |
12208.77284375 |
transcript.pyannote[1203].speaker |
SPEAKER_07 |
transcript.pyannote[1203].start |
12208.78971875 |
transcript.pyannote[1203].end |
12209.70096875 |
transcript.pyannote[1204].speaker |
SPEAKER_07 |
transcript.pyannote[1204].start |
12211.08471875 |
transcript.pyannote[1204].end |
12231.38534375 |
transcript.pyannote[1205].speaker |
SPEAKER_03 |
transcript.pyannote[1205].start |
12234.37221875 |
transcript.pyannote[1205].end |
12238.16909375 |
transcript.pyannote[1206].speaker |
SPEAKER_07 |
transcript.pyannote[1206].start |
12235.24971875 |
transcript.pyannote[1206].end |
12252.37784375 |
transcript.pyannote[1207].speaker |
SPEAKER_03 |
transcript.pyannote[1207].start |
12252.37784375 |
transcript.pyannote[1207].end |
12254.55471875 |
transcript.pyannote[1208].speaker |
SPEAKER_07 |
transcript.pyannote[1208].start |
12254.63909375 |
transcript.pyannote[1208].end |
12261.72659375 |
transcript.pyannote[1209].speaker |
SPEAKER_03 |
transcript.pyannote[1209].start |
12262.24971875 |
transcript.pyannote[1209].end |
12282.41534375 |
transcript.pyannote[1210].speaker |
SPEAKER_03 |
transcript.pyannote[1210].start |
12282.48284375 |
transcript.pyannote[1210].end |
12283.69784375 |
transcript.pyannote[1211].speaker |
SPEAKER_07 |
transcript.pyannote[1211].start |
12284.65971875 |
transcript.pyannote[1211].end |
12284.96346875 |
transcript.pyannote[1212].speaker |
SPEAKER_07 |
transcript.pyannote[1212].start |
12285.46971875 |
transcript.pyannote[1212].end |
12287.44409375 |
transcript.pyannote[1213].speaker |
SPEAKER_03 |
transcript.pyannote[1213].start |
12289.80659375 |
transcript.pyannote[1213].end |
12296.59034375 |
transcript.pyannote[1214].speaker |
SPEAKER_07 |
transcript.pyannote[1214].start |
12295.93221875 |
transcript.pyannote[1214].end |
12297.29909375 |
transcript.pyannote[1215].speaker |
SPEAKER_04 |
transcript.pyannote[1215].start |
12296.59034375 |
transcript.pyannote[1215].end |
12296.60721875 |
transcript.pyannote[1216].speaker |
SPEAKER_03 |
transcript.pyannote[1216].start |
12296.87721875 |
transcript.pyannote[1216].end |
12297.29909375 |
transcript.pyannote[1217].speaker |
SPEAKER_04 |
transcript.pyannote[1217].start |
12297.29909375 |
transcript.pyannote[1217].end |
12297.94034375 |
transcript.pyannote[1218].speaker |
SPEAKER_03 |
transcript.pyannote[1218].start |
12297.94034375 |
transcript.pyannote[1218].end |
12297.97409375 |
transcript.pyannote[1219].speaker |
SPEAKER_04 |
transcript.pyannote[1219].start |
12297.97409375 |
transcript.pyannote[1219].end |
12297.99096875 |
transcript.pyannote[1220].speaker |
SPEAKER_03 |
transcript.pyannote[1220].start |
12297.99096875 |
transcript.pyannote[1220].end |
12298.00784375 |
transcript.pyannote[1221].speaker |
SPEAKER_07 |
transcript.pyannote[1221].start |
12298.07534375 |
transcript.pyannote[1221].end |
12299.67846875 |
transcript.pyannote[1222].speaker |
SPEAKER_04 |
transcript.pyannote[1222].start |
12300.01596875 |
transcript.pyannote[1222].end |
12314.29221875 |
transcript.pyannote[1223].speaker |
SPEAKER_04 |
transcript.pyannote[1223].start |
12314.52846875 |
transcript.pyannote[1223].end |
12331.84221875 |
transcript.pyannote[1224].speaker |
SPEAKER_07 |
transcript.pyannote[1224].start |
12332.55096875 |
transcript.pyannote[1224].end |
12341.66346875 |
transcript.pyannote[1225].speaker |
SPEAKER_07 |
transcript.pyannote[1225].start |
12341.93346875 |
transcript.pyannote[1225].end |
12352.05846875 |
transcript.pyannote[1226].speaker |
SPEAKER_07 |
transcript.pyannote[1226].start |
12353.35784375 |
transcript.pyannote[1226].end |
12360.02346875 |
transcript.pyannote[1227].speaker |
SPEAKER_03 |
transcript.pyannote[1227].start |
12354.20159375 |
transcript.pyannote[1227].end |
12355.06221875 |
transcript.pyannote[1228].speaker |
SPEAKER_03 |
transcript.pyannote[1228].start |
12361.18784375 |
transcript.pyannote[1228].end |
12390.29721875 |
transcript.pyannote[1229].speaker |
SPEAKER_07 |
transcript.pyannote[1229].start |
12391.98471875 |
transcript.pyannote[1229].end |
12392.30534375 |
transcript.pyannote[1230].speaker |
SPEAKER_07 |
transcript.pyannote[1230].start |
12392.65971875 |
transcript.pyannote[1230].end |
12393.90846875 |
transcript.pyannote[1231].speaker |
SPEAKER_03 |
transcript.pyannote[1231].start |
12393.90846875 |
transcript.pyannote[1231].end |
12394.02659375 |
transcript.pyannote[1232].speaker |
SPEAKER_05 |
transcript.pyannote[1232].start |
12394.02659375 |
transcript.pyannote[1232].end |
12394.71846875 |
transcript.pyannote[1233].speaker |
SPEAKER_07 |
transcript.pyannote[1233].start |
12394.87034375 |
transcript.pyannote[1233].end |
12408.28596875 |
transcript.pyannote[1234].speaker |
SPEAKER_07 |
transcript.pyannote[1234].start |
12408.64034375 |
transcript.pyannote[1234].end |
12412.99409375 |
transcript.pyannote[1235].speaker |
SPEAKER_03 |
transcript.pyannote[1235].start |
12413.71971875 |
transcript.pyannote[1235].end |
12423.72659375 |
transcript.pyannote[1236].speaker |
SPEAKER_03 |
transcript.pyannote[1236].start |
12423.74346875 |
transcript.pyannote[1236].end |
12424.28346875 |
transcript.pyannote[1237].speaker |
SPEAKER_03 |
transcript.pyannote[1237].start |
12425.02596875 |
transcript.pyannote[1237].end |
12443.47034375 |
transcript.pyannote[1238].speaker |
SPEAKER_03 |
transcript.pyannote[1238].start |
12444.87096875 |
transcript.pyannote[1238].end |
12447.57096875 |
transcript.pyannote[1239].speaker |
SPEAKER_03 |
transcript.pyannote[1239].start |
12447.85784375 |
transcript.pyannote[1239].end |
12450.28784375 |
transcript.pyannote[1240].speaker |
SPEAKER_07 |
transcript.pyannote[1240].start |
12450.59159375 |
transcript.pyannote[1240].end |
12451.03034375 |
transcript.pyannote[1241].speaker |
SPEAKER_07 |
transcript.pyannote[1241].start |
12451.43534375 |
transcript.pyannote[1241].end |
12452.41409375 |
transcript.pyannote[1242].speaker |
SPEAKER_04 |
transcript.pyannote[1242].start |
12452.46471875 |
transcript.pyannote[1242].end |
12453.22409375 |
transcript.pyannote[1243].speaker |
SPEAKER_04 |
transcript.pyannote[1243].start |
12453.64596875 |
transcript.pyannote[1243].end |
12453.93284375 |
transcript.pyannote[1244].speaker |
SPEAKER_04 |
transcript.pyannote[1244].start |
12454.27034375 |
transcript.pyannote[1244].end |
12473.22096875 |
transcript.pyannote[1245].speaker |
SPEAKER_07 |
transcript.pyannote[1245].start |
12467.87159375 |
transcript.pyannote[1245].end |
12467.88846875 |
transcript.pyannote[1246].speaker |
SPEAKER_06 |
transcript.pyannote[1246].start |
12467.88846875 |
transcript.pyannote[1246].end |
12467.90534375 |
transcript.pyannote[1247].speaker |
SPEAKER_07 |
transcript.pyannote[1247].start |
12467.90534375 |
transcript.pyannote[1247].end |
12468.61409375 |
transcript.pyannote[1248].speaker |
SPEAKER_07 |
transcript.pyannote[1248].start |
12469.55909375 |
transcript.pyannote[1248].end |
12470.03159375 |
transcript.pyannote[1249].speaker |
SPEAKER_07 |
transcript.pyannote[1249].start |
12473.28846875 |
transcript.pyannote[1249].end |
12477.33846875 |
transcript.pyannote[1250].speaker |
SPEAKER_05 |
transcript.pyannote[1250].start |
12477.49034375 |
transcript.pyannote[1250].end |
12523.03596875 |
transcript.pyannote[1251].speaker |
SPEAKER_04 |
transcript.pyannote[1251].start |
12523.03596875 |
transcript.pyannote[1251].end |
12523.28909375 |
transcript.pyannote[1252].speaker |
SPEAKER_05 |
transcript.pyannote[1252].start |
12523.27221875 |
transcript.pyannote[1252].end |
12523.69409375 |
transcript.pyannote[1253].speaker |
SPEAKER_07 |
transcript.pyannote[1253].start |
12523.28909375 |
transcript.pyannote[1253].end |
12524.33534375 |
transcript.pyannote[1254].speaker |
SPEAKER_04 |
transcript.pyannote[1254].start |
12523.69409375 |
transcript.pyannote[1254].end |
12523.72784375 |
transcript.pyannote[1255].speaker |
SPEAKER_10 |
transcript.pyannote[1255].start |
12523.72784375 |
transcript.pyannote[1255].end |
12523.76159375 |
transcript.pyannote[1256].speaker |
SPEAKER_04 |
transcript.pyannote[1256].start |
12524.52096875 |
transcript.pyannote[1256].end |
12529.51596875 |
transcript.pyannote[1257].speaker |
SPEAKER_07 |
transcript.pyannote[1257].start |
12529.66784375 |
transcript.pyannote[1257].end |
12532.62096875 |
transcript.pyannote[1258].speaker |
SPEAKER_09 |
transcript.pyannote[1258].start |
12532.62096875 |
transcript.pyannote[1258].end |
12563.75534375 |
transcript.pyannote[1259].speaker |
SPEAKER_03 |
transcript.pyannote[1259].start |
12563.75534375 |
transcript.pyannote[1259].end |
12569.81346875 |
transcript.pyannote[1260].speaker |
SPEAKER_07 |
transcript.pyannote[1260].start |
12565.96596875 |
transcript.pyannote[1260].end |
12566.84346875 |
transcript.pyannote[1261].speaker |
SPEAKER_07 |
transcript.pyannote[1261].start |
12567.65346875 |
transcript.pyannote[1261].end |
12573.13784375 |
transcript.pyannote[1262].speaker |
SPEAKER_08 |
transcript.pyannote[1262].start |
12570.74159375 |
transcript.pyannote[1262].end |
12571.02846875 |
transcript.pyannote[1263].speaker |
SPEAKER_09 |
transcript.pyannote[1263].start |
12571.02846875 |
transcript.pyannote[1263].end |
12571.16346875 |
transcript.pyannote[1264].speaker |
SPEAKER_03 |
transcript.pyannote[1264].start |
12572.24346875 |
transcript.pyannote[1264].end |
12575.02784375 |
transcript.pyannote[1265].speaker |
SPEAKER_07 |
transcript.pyannote[1265].start |
12575.07846875 |
transcript.pyannote[1265].end |
12601.01534375 |
transcript.pyannote[1266].speaker |
SPEAKER_03 |
transcript.pyannote[1266].start |
12601.77471875 |
transcript.pyannote[1266].end |
12626.36159375 |
transcript.pyannote[1267].speaker |
SPEAKER_03 |
transcript.pyannote[1267].start |
12627.37409375 |
transcript.pyannote[1267].end |
12639.96284375 |
transcript.pyannote[1268].speaker |
SPEAKER_07 |
transcript.pyannote[1268].start |
12632.30159375 |
transcript.pyannote[1268].end |
12632.92596875 |
transcript.pyannote[1269].speaker |
SPEAKER_00 |
transcript.pyannote[1269].start |
12632.92596875 |
transcript.pyannote[1269].end |
12633.02721875 |
transcript.pyannote[1270].speaker |
SPEAKER_07 |
transcript.pyannote[1270].start |
12639.13596875 |
transcript.pyannote[1270].end |
12675.33284375 |
transcript.pyannote[1271].speaker |
SPEAKER_07 |
transcript.pyannote[1271].start |
12675.70409375 |
transcript.pyannote[1271].end |
12678.92721875 |
transcript.pyannote[1272].speaker |
SPEAKER_05 |
transcript.pyannote[1272].start |
12679.72034375 |
transcript.pyannote[1272].end |
12721.65471875 |
transcript.pyannote[1273].speaker |
SPEAKER_00 |
transcript.pyannote[1273].start |
12707.04096875 |
transcript.pyannote[1273].end |
12707.41221875 |
transcript.pyannote[1274].speaker |
SPEAKER_08 |
transcript.pyannote[1274].start |
12720.49034375 |
transcript.pyannote[1274].end |
12720.62534375 |
transcript.pyannote[1275].speaker |
SPEAKER_06 |
transcript.pyannote[1275].start |
12720.62534375 |
transcript.pyannote[1275].end |
12720.77721875 |
transcript.pyannote[1276].speaker |
SPEAKER_08 |
transcript.pyannote[1276].start |
12720.77721875 |
transcript.pyannote[1276].end |
12720.92909375 |
transcript.pyannote[1277].speaker |
SPEAKER_06 |
transcript.pyannote[1277].start |
12720.92909375 |
transcript.pyannote[1277].end |
12721.31721875 |
transcript.pyannote[1278].speaker |
SPEAKER_08 |
transcript.pyannote[1278].start |
12721.31721875 |
transcript.pyannote[1278].end |
12721.55346875 |
transcript.pyannote[1279].speaker |
SPEAKER_06 |
transcript.pyannote[1279].start |
12721.55346875 |
transcript.pyannote[1279].end |
12721.57034375 |
transcript.pyannote[1280].speaker |
SPEAKER_08 |
transcript.pyannote[1280].start |
12721.57034375 |
transcript.pyannote[1280].end |
12721.58721875 |
transcript.pyannote[1281].speaker |
SPEAKER_06 |
transcript.pyannote[1281].start |
12721.58721875 |
transcript.pyannote[1281].end |
12721.63784375 |
transcript.pyannote[1282].speaker |
SPEAKER_08 |
transcript.pyannote[1282].start |
12721.63784375 |
transcript.pyannote[1282].end |
12731.03721875 |
transcript.pyannote[1283].speaker |
SPEAKER_06 |
transcript.pyannote[1283].start |
12721.65471875 |
transcript.pyannote[1283].end |
12721.70534375 |
transcript.pyannote[1284].speaker |
SPEAKER_06 |
transcript.pyannote[1284].start |
12721.78971875 |
transcript.pyannote[1284].end |
12722.00909375 |
transcript.pyannote[1285].speaker |
SPEAKER_09 |
transcript.pyannote[1285].start |
12722.00909375 |
transcript.pyannote[1285].end |
12722.65034375 |
transcript.pyannote[1286].speaker |
SPEAKER_06 |
transcript.pyannote[1286].start |
12722.65034375 |
transcript.pyannote[1286].end |
12722.97096875 |
transcript.pyannote[1287].speaker |
SPEAKER_09 |
transcript.pyannote[1287].start |
12722.97096875 |
transcript.pyannote[1287].end |
12723.24096875 |
transcript.pyannote[1288].speaker |
SPEAKER_08 |
transcript.pyannote[1288].start |
12731.13846875 |
transcript.pyannote[1288].end |
12738.51284375 |
transcript.pyannote[1289].speaker |
SPEAKER_08 |
transcript.pyannote[1289].start |
12738.52971875 |
transcript.pyannote[1289].end |
12738.54659375 |
transcript.pyannote[1290].speaker |
SPEAKER_08 |
transcript.pyannote[1290].start |
12738.59721875 |
transcript.pyannote[1290].end |
12739.06971875 |
transcript.pyannote[1291].speaker |
SPEAKER_08 |
transcript.pyannote[1291].start |
12739.33971875 |
transcript.pyannote[1291].end |
12740.63909375 |
transcript.pyannote[1292].speaker |
SPEAKER_03 |
transcript.pyannote[1292].start |
12740.63909375 |
transcript.pyannote[1292].end |
12759.48846875 |
transcript.pyannote[1293].speaker |
SPEAKER_07 |
transcript.pyannote[1293].start |
12759.13409375 |
transcript.pyannote[1293].end |
12766.06971875 |
transcript.pyannote[1294].speaker |
SPEAKER_07 |
transcript.pyannote[1294].start |
12766.27221875 |
transcript.pyannote[1294].end |
12801.47346875 |
transcript.pyannote[1295].speaker |
SPEAKER_03 |
transcript.pyannote[1295].start |
12802.21596875 |
transcript.pyannote[1295].end |
12802.60409375 |
transcript.pyannote[1296].speaker |
SPEAKER_03 |
transcript.pyannote[1296].start |
12802.77284375 |
transcript.pyannote[1296].end |
12812.00346875 |
transcript.pyannote[1297].speaker |
SPEAKER_09 |
transcript.pyannote[1297].start |
12812.08784375 |
transcript.pyannote[1297].end |
12820.96409375 |
transcript.pyannote[1298].speaker |
SPEAKER_07 |
transcript.pyannote[1298].start |
12819.19221875 |
transcript.pyannote[1298].end |
12828.15284375 |
transcript.pyannote[1299].speaker |
SPEAKER_09 |
transcript.pyannote[1299].start |
12821.82471875 |
transcript.pyannote[1299].end |
12822.21284375 |
transcript.pyannote[1300].speaker |
SPEAKER_03 |
transcript.pyannote[1300].start |
12828.65909375 |
transcript.pyannote[1300].end |
12882.43971875 |
transcript.pyannote[1301].speaker |
SPEAKER_03 |
transcript.pyannote[1301].start |
12883.65471875 |
transcript.pyannote[1301].end |
12887.28284375 |
transcript.pyannote[1302].speaker |
SPEAKER_07 |
transcript.pyannote[1302].start |
12887.28284375 |
transcript.pyannote[1302].end |
12892.37909375 |
transcript.pyannote[1303].speaker |
SPEAKER_03 |
transcript.pyannote[1303].start |
12889.39221875 |
transcript.pyannote[1303].end |
12890.87721875 |
transcript.pyannote[1304].speaker |
SPEAKER_07 |
transcript.pyannote[1304].start |
12893.07096875 |
transcript.pyannote[1304].end |
12894.35346875 |
transcript.pyannote[1305].speaker |
SPEAKER_07 |
transcript.pyannote[1305].start |
12894.77534375 |
transcript.pyannote[1305].end |
12911.38034375 |
transcript.pyannote[1306].speaker |
SPEAKER_07 |
transcript.pyannote[1306].start |
12912.02159375 |
transcript.pyannote[1306].end |
12926.39909375 |
transcript.pyannote[1307].speaker |
SPEAKER_07 |
transcript.pyannote[1307].start |
12926.87159375 |
transcript.pyannote[1307].end |
12931.78221875 |
transcript.pyannote[1308].speaker |
SPEAKER_03 |
transcript.pyannote[1308].start |
12932.08596875 |
transcript.pyannote[1308].end |
12953.51721875 |
transcript.pyannote[1309].speaker |
SPEAKER_07 |
transcript.pyannote[1309].start |
12953.90534375 |
transcript.pyannote[1309].end |
12956.77409375 |
transcript.pyannote[1310].speaker |
SPEAKER_05 |
transcript.pyannote[1310].start |
12957.21284375 |
transcript.pyannote[1310].end |
13001.47596875 |
transcript.pyannote[1311].speaker |
SPEAKER_07 |
transcript.pyannote[1311].start |
13002.03284375 |
transcript.pyannote[1311].end |
13002.99471875 |
transcript.pyannote[1312].speaker |
SPEAKER_12 |
transcript.pyannote[1312].start |
13006.20096875 |
transcript.pyannote[1312].end |
13050.14346875 |
transcript.pyannote[1313].speaker |
SPEAKER_07 |
transcript.pyannote[1313].start |
13048.52346875 |
transcript.pyannote[1313].end |
13052.03346875 |
transcript.pyannote[1314].speaker |
SPEAKER_12 |
transcript.pyannote[1314].start |
13052.23596875 |
transcript.pyannote[1314].end |
13054.02471875 |
transcript.pyannote[1315].speaker |
SPEAKER_07 |
transcript.pyannote[1315].start |
13053.14721875 |
transcript.pyannote[1315].end |
13057.58534375 |
transcript.pyannote[1316].speaker |
SPEAKER_03 |
transcript.pyannote[1316].start |
13054.02471875 |
transcript.pyannote[1316].end |
13056.64034375 |
transcript.pyannote[1317].speaker |
SPEAKER_03 |
transcript.pyannote[1317].start |
13058.00721875 |
transcript.pyannote[1317].end |
13085.91846875 |
transcript.pyannote[1318].speaker |
SPEAKER_07 |
transcript.pyannote[1318].start |
13085.83409375 |
transcript.pyannote[1318].end |
13090.33971875 |
transcript.pyannote[1319].speaker |
SPEAKER_03 |
transcript.pyannote[1319].start |
13089.29346875 |
transcript.pyannote[1319].end |
13090.03596875 |
transcript.pyannote[1320].speaker |
SPEAKER_12 |
transcript.pyannote[1320].start |
13090.03596875 |
transcript.pyannote[1320].end |
13091.25096875 |
transcript.pyannote[1321].speaker |
SPEAKER_07 |
transcript.pyannote[1321].start |
13091.25096875 |
transcript.pyannote[1321].end |
13092.46596875 |
transcript.pyannote[1322].speaker |
SPEAKER_12 |
transcript.pyannote[1322].start |
13091.26784375 |
transcript.pyannote[1322].end |
13091.50409375 |
transcript.pyannote[1323].speaker |
SPEAKER_12 |
transcript.pyannote[1323].start |
13091.92596875 |
transcript.pyannote[1323].end |
13093.30971875 |
transcript.pyannote[1324].speaker |
SPEAKER_07 |
transcript.pyannote[1324].start |
13093.30971875 |
transcript.pyannote[1324].end |
13094.42346875 |
transcript.pyannote[1325].speaker |
SPEAKER_12 |
transcript.pyannote[1325].start |
13093.34346875 |
transcript.pyannote[1325].end |
13095.84096875 |
transcript.pyannote[1326].speaker |
SPEAKER_07 |
transcript.pyannote[1326].start |
13095.84096875 |
transcript.pyannote[1326].end |
13095.92534375 |
transcript.pyannote[1327].speaker |
SPEAKER_07 |
transcript.pyannote[1327].start |
13096.33034375 |
transcript.pyannote[1327].end |
13097.22471875 |
transcript.pyannote[1328].speaker |
SPEAKER_12 |
transcript.pyannote[1328].start |
13097.37659375 |
transcript.pyannote[1328].end |
13099.51971875 |
transcript.pyannote[1329].speaker |
SPEAKER_03 |
transcript.pyannote[1329].start |
13099.51971875 |
transcript.pyannote[1329].end |
13099.53659375 |
transcript.pyannote[1330].speaker |
SPEAKER_12 |
transcript.pyannote[1330].start |
13099.53659375 |
transcript.pyannote[1330].end |
13101.59534375 |
transcript.pyannote[1331].speaker |
SPEAKER_03 |
transcript.pyannote[1331].start |
13099.57034375 |
transcript.pyannote[1331].end |
13113.23909375 |
transcript.pyannote[1332].speaker |
SPEAKER_12 |
transcript.pyannote[1332].start |
13103.85659375 |
transcript.pyannote[1332].end |
13103.99159375 |
transcript.pyannote[1333].speaker |
SPEAKER_07 |
transcript.pyannote[1333].start |
13104.02534375 |
transcript.pyannote[1333].end |
13105.96596875 |
transcript.pyannote[1334].speaker |
SPEAKER_06 |
transcript.pyannote[1334].start |
13105.96596875 |
transcript.pyannote[1334].end |
13106.40471875 |
transcript.pyannote[1335].speaker |
SPEAKER_06 |
transcript.pyannote[1335].start |
13112.10846875 |
transcript.pyannote[1335].end |
13112.66534375 |
transcript.pyannote[1336].speaker |
SPEAKER_06 |
transcript.pyannote[1336].start |
13113.20534375 |
transcript.pyannote[1336].end |
13113.61034375 |
transcript.pyannote[1337].speaker |
SPEAKER_03 |
transcript.pyannote[1337].start |
13113.61034375 |
transcript.pyannote[1337].end |
13115.85471875 |
transcript.pyannote[1338].speaker |
SPEAKER_03 |
transcript.pyannote[1338].start |
13115.93909375 |
transcript.pyannote[1338].end |
13121.98034375 |
transcript.pyannote[1339].speaker |
SPEAKER_07 |
transcript.pyannote[1339].start |
13121.49096875 |
transcript.pyannote[1339].end |
13122.65534375 |
transcript.pyannote[1340].speaker |
SPEAKER_07 |
transcript.pyannote[1340].start |
13123.44846875 |
transcript.pyannote[1340].end |
13132.39221875 |
transcript.pyannote[1341].speaker |
SPEAKER_03 |
transcript.pyannote[1341].start |
13124.74784375 |
transcript.pyannote[1341].end |
13125.25409375 |
transcript.pyannote[1342].speaker |
SPEAKER_03 |
transcript.pyannote[1342].start |
13128.17346875 |
transcript.pyannote[1342].end |
13135.39596875 |
transcript.pyannote[1343].speaker |
SPEAKER_07 |
transcript.pyannote[1343].start |
13134.88971875 |
transcript.pyannote[1343].end |
13163.47596875 |
transcript.pyannote[1344].speaker |
SPEAKER_12 |
transcript.pyannote[1344].start |
13162.34534375 |
transcript.pyannote[1344].end |
13175.96346875 |
transcript.pyannote[1345].speaker |
SPEAKER_03 |
transcript.pyannote[1345].start |
13175.96346875 |
transcript.pyannote[1345].end |
13185.04221875 |
transcript.pyannote[1346].speaker |
SPEAKER_07 |
transcript.pyannote[1346].start |
13184.75534375 |
transcript.pyannote[1346].end |
13188.09659375 |
transcript.pyannote[1347].speaker |
SPEAKER_03 |
transcript.pyannote[1347].start |
13185.34596875 |
transcript.pyannote[1347].end |
13186.51034375 |
transcript.pyannote[1348].speaker |
SPEAKER_03 |
transcript.pyannote[1348].start |
13188.82221875 |
transcript.pyannote[1348].end |
13190.83034375 |
transcript.pyannote[1349].speaker |
SPEAKER_07 |
transcript.pyannote[1349].start |
13190.86409375 |
transcript.pyannote[1349].end |
13191.67409375 |
transcript.pyannote[1350].speaker |
SPEAKER_03 |
transcript.pyannote[1350].start |
13191.50534375 |
transcript.pyannote[1350].end |
13192.83846875 |
transcript.pyannote[1351].speaker |
SPEAKER_03 |
transcript.pyannote[1351].start |
13193.09159375 |
transcript.pyannote[1351].end |
13193.96909375 |
transcript.pyannote[1352].speaker |
SPEAKER_07 |
transcript.pyannote[1352].start |
13193.44596875 |
transcript.pyannote[1352].end |
13195.80846875 |
transcript.pyannote[1353].speaker |
SPEAKER_03 |
transcript.pyannote[1353].start |
13195.72409375 |
transcript.pyannote[1353].end |
13196.48346875 |
transcript.pyannote[1354].speaker |
SPEAKER_07 |
transcript.pyannote[1354].start |
13195.99409375 |
transcript.pyannote[1354].end |
13210.89471875 |
transcript.pyannote[1355].speaker |
SPEAKER_12 |
transcript.pyannote[1355].start |
13196.48346875 |
transcript.pyannote[1355].end |
13196.55096875 |
transcript.pyannote[1356].speaker |
SPEAKER_03 |
transcript.pyannote[1356].start |
13211.85659375 |
transcript.pyannote[1356].end |
13225.60971875 |
transcript.pyannote[1357].speaker |
SPEAKER_03 |
transcript.pyannote[1357].start |
13228.44471875 |
transcript.pyannote[1357].end |
13229.03534375 |
transcript.pyannote[1358].speaker |
SPEAKER_03 |
transcript.pyannote[1358].start |
13229.22096875 |
transcript.pyannote[1358].end |
13236.20721875 |
transcript.pyannote[1359].speaker |
SPEAKER_03 |
transcript.pyannote[1359].start |
13237.99596875 |
transcript.pyannote[1359].end |
13258.88721875 |
transcript.pyannote[1360].speaker |
SPEAKER_03 |
transcript.pyannote[1360].start |
13259.25846875 |
transcript.pyannote[1360].end |
13260.67596875 |
transcript.pyannote[1361].speaker |
SPEAKER_12 |
transcript.pyannote[1361].start |
13259.91659375 |
transcript.pyannote[1361].end |
13259.93346875 |
transcript.pyannote[1362].speaker |
SPEAKER_07 |
transcript.pyannote[1362].start |
13259.93346875 |
transcript.pyannote[1362].end |
13260.92909375 |
transcript.pyannote[1363].speaker |
SPEAKER_12 |
transcript.pyannote[1363].start |
13260.67596875 |
transcript.pyannote[1363].end |
13260.81096875 |
transcript.pyannote[1364].speaker |
SPEAKER_03 |
transcript.pyannote[1364].start |
13260.81096875 |
transcript.pyannote[1364].end |
13260.91221875 |
transcript.pyannote[1365].speaker |
SPEAKER_03 |
transcript.pyannote[1365].start |
13260.92909375 |
transcript.pyannote[1365].end |
13261.03034375 |
transcript.pyannote[1366].speaker |
SPEAKER_12 |
transcript.pyannote[1366].start |
13261.03034375 |
transcript.pyannote[1366].end |
13264.96221875 |
transcript.pyannote[1367].speaker |
SPEAKER_07 |
transcript.pyannote[1367].start |
13262.68409375 |
transcript.pyannote[1367].end |
13263.03846875 |
transcript.pyannote[1368].speaker |
SPEAKER_07 |
transcript.pyannote[1368].start |
13264.40534375 |
transcript.pyannote[1368].end |
13265.73846875 |
transcript.pyannote[1369].speaker |
SPEAKER_12 |
transcript.pyannote[1369].start |
13265.41784375 |
transcript.pyannote[1369].end |
13267.59471875 |
transcript.pyannote[1370].speaker |
SPEAKER_07 |
transcript.pyannote[1370].start |
13266.85221875 |
transcript.pyannote[1370].end |
13268.96159375 |
transcript.pyannote[1371].speaker |
SPEAKER_12 |
transcript.pyannote[1371].start |
13268.47221875 |
transcript.pyannote[1371].end |
13270.27784375 |
transcript.pyannote[1372].speaker |
SPEAKER_05 |
transcript.pyannote[1372].start |
13270.27784375 |
transcript.pyannote[1372].end |
13270.29471875 |
transcript.pyannote[1373].speaker |
SPEAKER_07 |
transcript.pyannote[1373].start |
13270.68284375 |
transcript.pyannote[1373].end |
13272.82596875 |
transcript.pyannote[1374].speaker |
SPEAKER_12 |
transcript.pyannote[1374].start |
13271.08784375 |
transcript.pyannote[1374].end |
13271.15534375 |
transcript.pyannote[1375].speaker |
SPEAKER_05 |
transcript.pyannote[1375].start |
13271.15534375 |
transcript.pyannote[1375].end |
13271.18909375 |
transcript.pyannote[1376].speaker |
SPEAKER_12 |
transcript.pyannote[1376].start |
13271.18909375 |
transcript.pyannote[1376].end |
13271.64471875 |
transcript.pyannote[1377].speaker |
SPEAKER_05 |
transcript.pyannote[1377].start |
13271.64471875 |
transcript.pyannote[1377].end |
13271.74596875 |
transcript.pyannote[1378].speaker |
SPEAKER_12 |
transcript.pyannote[1378].start |
13271.74596875 |
transcript.pyannote[1378].end |
13271.76284375 |
transcript.pyannote[1379].speaker |
SPEAKER_05 |
transcript.pyannote[1379].start |
13271.76284375 |
transcript.pyannote[1379].end |
13271.77971875 |
transcript.pyannote[1380].speaker |
SPEAKER_07 |
transcript.pyannote[1380].start |
13273.11284375 |
transcript.pyannote[1380].end |
13273.95659375 |
transcript.pyannote[1381].speaker |
SPEAKER_05 |
transcript.pyannote[1381].start |
13274.69909375 |
transcript.pyannote[1381].end |
13343.71784375 |
transcript.pyannote[1382].speaker |
SPEAKER_07 |
transcript.pyannote[1382].start |
13340.52846875 |
transcript.pyannote[1382].end |
13341.96284375 |
transcript.pyannote[1383].speaker |
SPEAKER_07 |
transcript.pyannote[1383].start |
13343.21159375 |
transcript.pyannote[1383].end |
13349.52284375 |
transcript.pyannote[1384].speaker |
SPEAKER_03 |
transcript.pyannote[1384].start |
13343.71784375 |
transcript.pyannote[1384].end |
13343.78534375 |
transcript.pyannote[1385].speaker |
SPEAKER_00 |
transcript.pyannote[1385].start |
13349.94471875 |
transcript.pyannote[1385].end |
13384.96034375 |
transcript.pyannote[1386].speaker |
SPEAKER_07 |
transcript.pyannote[1386].start |
13384.96034375 |
transcript.pyannote[1386].end |
13400.80596875 |
transcript.pyannote[1387].speaker |
SPEAKER_07 |
transcript.pyannote[1387].start |
13401.98721875 |
transcript.pyannote[1387].end |
13402.25721875 |
transcript.pyannote[1388].speaker |
SPEAKER_03 |
transcript.pyannote[1388].start |
13403.47221875 |
transcript.pyannote[1388].end |
13404.13034375 |
transcript.pyannote[1389].speaker |
SPEAKER_03 |
transcript.pyannote[1389].start |
13404.97409375 |
transcript.pyannote[1389].end |
13405.02471875 |
transcript.pyannote[1390].speaker |
SPEAKER_06 |
transcript.pyannote[1390].start |
13405.05846875 |
transcript.pyannote[1390].end |
13405.58159375 |
transcript.pyannote[1391].speaker |
SPEAKER_03 |
transcript.pyannote[1391].start |
13408.01159375 |
transcript.pyannote[1391].end |
13412.92221875 |
transcript.pyannote[1392].speaker |
SPEAKER_07 |
transcript.pyannote[1392].start |
13412.85471875 |
transcript.pyannote[1392].end |
13412.87159375 |
transcript.pyannote[1393].speaker |
SPEAKER_07 |
transcript.pyannote[1393].start |
13412.92221875 |
transcript.pyannote[1393].end |
13415.94284375 |
transcript.pyannote[1394].speaker |
SPEAKER_03 |
transcript.pyannote[1394].start |
13413.42846875 |
transcript.pyannote[1394].end |
13417.95096875 |
transcript.pyannote[1395].speaker |
SPEAKER_07 |
transcript.pyannote[1395].start |
13416.80346875 |
transcript.pyannote[1395].end |
13424.38034375 |
transcript.pyannote[1396].speaker |
SPEAKER_03 |
transcript.pyannote[1396].start |
13424.58284375 |
transcript.pyannote[1396].end |
13445.74409375 |
transcript.pyannote[1397].speaker |
SPEAKER_07 |
transcript.pyannote[1397].start |
13445.10284375 |
transcript.pyannote[1397].end |
13446.52034375 |
transcript.pyannote[1398].speaker |
SPEAKER_03 |
transcript.pyannote[1398].start |
13446.82409375 |
transcript.pyannote[1398].end |
13447.97159375 |
transcript.pyannote[1399].speaker |
SPEAKER_07 |
transcript.pyannote[1399].start |
13447.06034375 |
transcript.pyannote[1399].end |
13448.29221875 |
transcript.pyannote[1400].speaker |
SPEAKER_03 |
transcript.pyannote[1400].start |
13448.44409375 |
transcript.pyannote[1400].end |
13448.98409375 |
transcript.pyannote[1401].speaker |
SPEAKER_03 |
transcript.pyannote[1401].start |
13449.16971875 |
transcript.pyannote[1401].end |
13450.78971875 |
transcript.pyannote[1402].speaker |
SPEAKER_03 |
transcript.pyannote[1402].start |
13451.07659375 |
transcript.pyannote[1402].end |
13466.07846875 |
transcript.pyannote[1403].speaker |
SPEAKER_07 |
transcript.pyannote[1403].start |
13451.98784375 |
transcript.pyannote[1403].end |
13452.40971875 |
transcript.pyannote[1404].speaker |
SPEAKER_06 |
transcript.pyannote[1404].start |
13452.40971875 |
transcript.pyannote[1404].end |
13452.47721875 |
transcript.pyannote[1405].speaker |
SPEAKER_07 |
transcript.pyannote[1405].start |
13452.89909375 |
transcript.pyannote[1405].end |
13452.91596875 |
transcript.pyannote[1406].speaker |
SPEAKER_06 |
transcript.pyannote[1406].start |
13452.91596875 |
transcript.pyannote[1406].end |
13453.42221875 |
transcript.pyannote[1407].speaker |
SPEAKER_07 |
transcript.pyannote[1407].start |
13453.42221875 |
transcript.pyannote[1407].end |
13453.45596875 |
transcript.pyannote[1408].speaker |
SPEAKER_07 |
transcript.pyannote[1408].start |
13458.58596875 |
transcript.pyannote[1408].end |
13458.94034375 |
transcript.pyannote[1409].speaker |
SPEAKER_07 |
transcript.pyannote[1409].start |
13463.81721875 |
transcript.pyannote[1409].end |
13464.20534375 |
transcript.pyannote[1410].speaker |
SPEAKER_07 |
transcript.pyannote[1410].start |
13466.07846875 |
transcript.pyannote[1410].end |
13469.38596875 |
transcript.pyannote[1411].speaker |
SPEAKER_03 |
transcript.pyannote[1411].start |
13467.63096875 |
transcript.pyannote[1411].end |
13470.26346875 |
transcript.pyannote[1412].speaker |
SPEAKER_07 |
transcript.pyannote[1412].start |
13470.41534375 |
transcript.pyannote[1412].end |
13472.11971875 |
transcript.pyannote[1413].speaker |
SPEAKER_12 |
transcript.pyannote[1413].start |
13472.57534375 |
transcript.pyannote[1413].end |
13472.59221875 |
transcript.pyannote[1414].speaker |
SPEAKER_03 |
transcript.pyannote[1414].start |
13472.59221875 |
transcript.pyannote[1414].end |
13472.69346875 |
transcript.pyannote[1415].speaker |
SPEAKER_12 |
transcript.pyannote[1415].start |
13472.69346875 |
transcript.pyannote[1415].end |
13472.72721875 |
transcript.pyannote[1416].speaker |
SPEAKER_03 |
transcript.pyannote[1416].start |
13472.72721875 |
transcript.pyannote[1416].end |
13482.90284375 |
transcript.pyannote[1417].speaker |
SPEAKER_12 |
transcript.pyannote[1417].start |
13476.74346875 |
transcript.pyannote[1417].end |
13477.33409375 |
transcript.pyannote[1418].speaker |
SPEAKER_03 |
transcript.pyannote[1418].start |
13483.24034375 |
transcript.pyannote[1418].end |
13483.59471875 |
transcript.pyannote[1419].speaker |
SPEAKER_12 |
transcript.pyannote[1419].start |
13484.01659375 |
transcript.pyannote[1419].end |
13486.04159375 |
transcript.pyannote[1420].speaker |
SPEAKER_12 |
transcript.pyannote[1420].start |
13486.59846875 |
transcript.pyannote[1420].end |
13487.03721875 |
transcript.pyannote[1421].speaker |
SPEAKER_03 |
transcript.pyannote[1421].start |
13487.03721875 |
transcript.pyannote[1421].end |
13487.07096875 |
transcript.pyannote[1422].speaker |
SPEAKER_12 |
transcript.pyannote[1422].start |
13487.07096875 |
transcript.pyannote[1422].end |
13487.08784375 |
transcript.pyannote[1423].speaker |
SPEAKER_03 |
transcript.pyannote[1423].start |
13487.08784375 |
transcript.pyannote[1423].end |
13490.81721875 |
transcript.pyannote[1424].speaker |
SPEAKER_07 |
transcript.pyannote[1424].start |
13487.20596875 |
transcript.pyannote[1424].end |
13487.42534375 |
transcript.pyannote[1425].speaker |
SPEAKER_12 |
transcript.pyannote[1425].start |
13487.42534375 |
transcript.pyannote[1425].end |
13487.83034375 |
transcript.pyannote[1426].speaker |
SPEAKER_07 |
transcript.pyannote[1426].start |
13487.83034375 |
transcript.pyannote[1426].end |
13487.86409375 |
transcript.pyannote[1427].speaker |
SPEAKER_12 |
transcript.pyannote[1427].start |
13487.86409375 |
transcript.pyannote[1427].end |
13487.99909375 |
transcript.pyannote[1428].speaker |
SPEAKER_07 |
transcript.pyannote[1428].start |
13487.99909375 |
transcript.pyannote[1428].end |
13488.03284375 |
transcript.pyannote[1429].speaker |
SPEAKER_12 |
transcript.pyannote[1429].start |
13488.03284375 |
transcript.pyannote[1429].end |
13488.67409375 |
transcript.pyannote[1430].speaker |
SPEAKER_07 |
transcript.pyannote[1430].start |
13488.67409375 |
transcript.pyannote[1430].end |
13489.02846875 |
transcript.pyannote[1431].speaker |
SPEAKER_12 |
transcript.pyannote[1431].start |
13489.02846875 |
transcript.pyannote[1431].end |
13489.18034375 |
transcript.pyannote[1432].speaker |
SPEAKER_07 |
transcript.pyannote[1432].start |
13489.18034375 |
transcript.pyannote[1432].end |
13489.28159375 |
transcript.pyannote[1433].speaker |
SPEAKER_12 |
transcript.pyannote[1433].start |
13489.28159375 |
transcript.pyannote[1433].end |
13489.31534375 |
transcript.pyannote[1434].speaker |
SPEAKER_07 |
transcript.pyannote[1434].start |
13489.31534375 |
transcript.pyannote[1434].end |
13489.70346875 |
transcript.pyannote[1435].speaker |
SPEAKER_12 |
transcript.pyannote[1435].start |
13489.70346875 |
transcript.pyannote[1435].end |
13490.73284375 |
transcript.pyannote[1436].speaker |
SPEAKER_12 |
transcript.pyannote[1436].start |
13490.81721875 |
transcript.pyannote[1436].end |
13490.90159375 |
transcript.pyannote[1437].speaker |
SPEAKER_03 |
transcript.pyannote[1437].start |
13490.90159375 |
transcript.pyannote[1437].end |
13490.96909375 |
transcript.pyannote[1438].speaker |
SPEAKER_12 |
transcript.pyannote[1438].start |
13490.96909375 |
transcript.pyannote[1438].end |
13493.65221875 |
transcript.pyannote[1439].speaker |
SPEAKER_03 |
transcript.pyannote[1439].start |
13491.17159375 |
transcript.pyannote[1439].end |
13502.46096875 |
transcript.pyannote[1440].speaker |
SPEAKER_12 |
transcript.pyannote[1440].start |
13495.01909375 |
transcript.pyannote[1440].end |
13496.18346875 |
transcript.pyannote[1441].speaker |
SPEAKER_07 |
transcript.pyannote[1441].start |
13502.54534375 |
transcript.pyannote[1441].end |
13526.60909375 |
transcript.pyannote[1442].speaker |
SPEAKER_03 |
transcript.pyannote[1442].start |
13527.94221875 |
transcript.pyannote[1442].end |
13545.67784375 |
transcript.pyannote[1443].speaker |
SPEAKER_07 |
transcript.pyannote[1443].start |
13546.36971875 |
transcript.pyannote[1443].end |
13549.86284375 |
transcript.pyannote[1444].speaker |
SPEAKER_09 |
transcript.pyannote[1444].start |
13549.96409375 |
transcript.pyannote[1444].end |
13551.33096875 |
transcript.pyannote[1445].speaker |
SPEAKER_09 |
transcript.pyannote[1445].start |
13551.49971875 |
transcript.pyannote[1445].end |
13579.29284375 |
transcript.pyannote[1446].speaker |
SPEAKER_03 |
transcript.pyannote[1446].start |
13579.29284375 |
transcript.pyannote[1446].end |
13585.67159375 |
transcript.pyannote[1447].speaker |
SPEAKER_07 |
transcript.pyannote[1447].start |
13587.00471875 |
transcript.pyannote[1447].end |
13588.06784375 |
transcript.pyannote[1448].speaker |
SPEAKER_03 |
transcript.pyannote[1448].start |
13588.06784375 |
transcript.pyannote[1448].end |
13588.08471875 |
transcript.pyannote[1449].speaker |
SPEAKER_05 |
transcript.pyannote[1449].start |
13588.08471875 |
transcript.pyannote[1449].end |
13594.93596875 |
transcript.pyannote[1450].speaker |
SPEAKER_05 |
transcript.pyannote[1450].start |
13595.22284375 |
transcript.pyannote[1450].end |
13641.96659375 |
transcript.pyannote[1451].speaker |
SPEAKER_03 |
transcript.pyannote[1451].start |
13640.17784375 |
transcript.pyannote[1451].end |
13640.26221875 |
transcript.pyannote[1452].speaker |
SPEAKER_03 |
transcript.pyannote[1452].start |
13641.96659375 |
transcript.pyannote[1452].end |
13643.04659375 |
transcript.pyannote[1453].speaker |
SPEAKER_07 |
transcript.pyannote[1453].start |
13643.04659375 |
transcript.pyannote[1453].end |
13659.53346875 |
transcript.pyannote[1454].speaker |
SPEAKER_03 |
transcript.pyannote[1454].start |
13660.22534375 |
transcript.pyannote[1454].end |
13689.89159375 |
transcript.pyannote[1455].speaker |
SPEAKER_07 |
transcript.pyannote[1455].start |
13691.88284375 |
transcript.pyannote[1455].end |
13692.82784375 |
transcript.pyannote[1456].speaker |
SPEAKER_03 |
transcript.pyannote[1456].start |
13694.26221875 |
transcript.pyannote[1456].end |
13694.27909375 |
transcript.pyannote[1457].speaker |
SPEAKER_05 |
transcript.pyannote[1457].start |
13694.27909375 |
transcript.pyannote[1457].end |
13696.67534375 |
transcript.pyannote[1458].speaker |
SPEAKER_03 |
transcript.pyannote[1458].start |
13694.34659375 |
transcript.pyannote[1458].end |
13694.93721875 |
transcript.pyannote[1459].speaker |
SPEAKER_03 |
transcript.pyannote[1459].start |
13696.45596875 |
transcript.pyannote[1459].end |
13696.47284375 |
transcript.pyannote[1460].speaker |
SPEAKER_05 |
transcript.pyannote[1460].start |
13697.19846875 |
transcript.pyannote[1460].end |
13735.48784375 |
transcript.pyannote[1461].speaker |
SPEAKER_03 |
transcript.pyannote[1461].start |
13734.23909375 |
transcript.pyannote[1461].end |
13757.23971875 |
transcript.pyannote[1462].speaker |
SPEAKER_05 |
transcript.pyannote[1462].start |
13742.38971875 |
transcript.pyannote[1462].end |
13743.79034375 |
transcript.pyannote[1463].speaker |
SPEAKER_05 |
transcript.pyannote[1463].start |
13755.34971875 |
transcript.pyannote[1463].end |
13762.50471875 |
transcript.pyannote[1464].speaker |
SPEAKER_05 |
transcript.pyannote[1464].start |
13762.85909375 |
transcript.pyannote[1464].end |
13792.37346875 |
transcript.pyannote[1465].speaker |
SPEAKER_03 |
transcript.pyannote[1465].start |
13763.92221875 |
transcript.pyannote[1465].end |
13765.81221875 |
transcript.pyannote[1466].speaker |
SPEAKER_03 |
transcript.pyannote[1466].start |
13767.14534375 |
transcript.pyannote[1466].end |
13767.48284375 |
transcript.pyannote[1467].speaker |
SPEAKER_03 |
transcript.pyannote[1467].start |
13788.30659375 |
transcript.pyannote[1467].end |
13790.82096875 |
transcript.pyannote[1468].speaker |
SPEAKER_03 |
transcript.pyannote[1468].start |
13791.02346875 |
transcript.pyannote[1468].end |
13791.04034375 |
transcript.pyannote[1469].speaker |
SPEAKER_03 |
transcript.pyannote[1469].start |
13791.10784375 |
transcript.pyannote[1469].end |
13791.24284375 |
transcript.pyannote[1470].speaker |
SPEAKER_07 |
transcript.pyannote[1470].start |
13791.24284375 |
transcript.pyannote[1470].end |
13815.49221875 |
transcript.pyannote[1471].speaker |
SPEAKER_03 |
transcript.pyannote[1471].start |
13792.37346875 |
transcript.pyannote[1471].end |
13792.39034375 |
transcript.pyannote[1472].speaker |
SPEAKER_05 |
transcript.pyannote[1472].start |
13792.39034375 |
transcript.pyannote[1472].end |
13793.14971875 |
transcript.pyannote[1473].speaker |
SPEAKER_03 |
transcript.pyannote[1473].start |
13793.14971875 |
transcript.pyannote[1473].end |
13793.36909375 |
transcript.pyannote[1474].speaker |
SPEAKER_05 |
transcript.pyannote[1474].start |
13793.36909375 |
transcript.pyannote[1474].end |
13793.38596875 |
transcript.pyannote[1475].speaker |
SPEAKER_03 |
transcript.pyannote[1475].start |
13793.38596875 |
transcript.pyannote[1475].end |
13793.40284375 |
transcript.pyannote[1476].speaker |
SPEAKER_05 |
transcript.pyannote[1476].start |
13793.40284375 |
transcript.pyannote[1476].end |
13793.45346875 |
transcript.pyannote[1477].speaker |
SPEAKER_03 |
transcript.pyannote[1477].start |
13793.45346875 |
transcript.pyannote[1477].end |
13793.47034375 |
transcript.pyannote[1478].speaker |
SPEAKER_05 |
transcript.pyannote[1478].start |
13793.47034375 |
transcript.pyannote[1478].end |
13793.63909375 |
transcript.pyannote[1479].speaker |
SPEAKER_03 |
transcript.pyannote[1479].start |
13793.63909375 |
transcript.pyannote[1479].end |
13793.84159375 |
transcript.pyannote[1480].speaker |
SPEAKER_03 |
transcript.pyannote[1480].start |
13808.47221875 |
transcript.pyannote[1480].end |
13809.29909375 |
transcript.pyannote[1481].speaker |
SPEAKER_03 |
transcript.pyannote[1481].start |
13811.61096875 |
transcript.pyannote[1481].end |
13811.74596875 |
transcript.pyannote[1482].speaker |
SPEAKER_03 |
transcript.pyannote[1482].start |
13814.17596875 |
transcript.pyannote[1482].end |
13814.47971875 |
transcript.pyannote[1483].speaker |
SPEAKER_03 |
transcript.pyannote[1483].start |
13815.13784375 |
transcript.pyannote[1483].end |
13823.84534375 |
transcript.pyannote[1484].speaker |
SPEAKER_07 |
transcript.pyannote[1484].start |
13821.21284375 |
transcript.pyannote[1484].end |
13853.74784375 |
transcript.pyannote[1485].speaker |
SPEAKER_03 |
transcript.pyannote[1485].start |
13831.35471875 |
transcript.pyannote[1485].end |
13831.77659375 |
transcript.pyannote[1486].speaker |
SPEAKER_00 |
transcript.pyannote[1486].start |
13834.61159375 |
transcript.pyannote[1486].end |
13834.67909375 |
transcript.pyannote[1487].speaker |
SPEAKER_06 |
transcript.pyannote[1487].start |
13834.67909375 |
transcript.pyannote[1487].end |
13835.03346875 |
transcript.pyannote[1488].speaker |
SPEAKER_03 |
transcript.pyannote[1488].start |
13854.22034375 |
transcript.pyannote[1488].end |
13867.23096875 |
transcript.pyannote[1489].speaker |
SPEAKER_03 |
transcript.pyannote[1489].start |
13867.51784375 |
transcript.pyannote[1489].end |
13870.96034375 |
transcript.pyannote[1490].speaker |
SPEAKER_03 |
transcript.pyannote[1490].start |
13871.04471875 |
transcript.pyannote[1490].end |
13876.32659375 |
transcript.pyannote[1491].speaker |
SPEAKER_03 |
transcript.pyannote[1491].start |
13876.76534375 |
transcript.pyannote[1491].end |
13880.83221875 |
transcript.pyannote[1492].speaker |
SPEAKER_03 |
transcript.pyannote[1492].start |
13880.98409375 |
transcript.pyannote[1492].end |
13915.78034375 |
transcript.pyannote[1493].speaker |
SPEAKER_07 |
transcript.pyannote[1493].start |
13916.05034375 |
transcript.pyannote[1493].end |
13916.50596875 |
transcript.pyannote[1494].speaker |
SPEAKER_00 |
transcript.pyannote[1494].start |
13916.50596875 |
transcript.pyannote[1494].end |
13917.88971875 |
transcript.pyannote[1495].speaker |
SPEAKER_00 |
transcript.pyannote[1495].start |
13918.02471875 |
transcript.pyannote[1495].end |
13937.09346875 |
transcript.pyannote[1496].speaker |
SPEAKER_00 |
transcript.pyannote[1496].start |
13937.31284375 |
transcript.pyannote[1496].end |
13957.71471875 |
transcript.pyannote[1497].speaker |
SPEAKER_03 |
transcript.pyannote[1497].start |
13957.86659375 |
transcript.pyannote[1497].end |
13959.95909375 |
transcript.pyannote[1498].speaker |
SPEAKER_07 |
transcript.pyannote[1498].start |
13959.95909375 |
transcript.pyannote[1498].end |
13966.86096875 |
transcript.pyannote[1499].speaker |
SPEAKER_03 |
transcript.pyannote[1499].start |
13966.40534375 |
transcript.pyannote[1499].end |
13972.59846875 |
transcript.pyannote[1500].speaker |
SPEAKER_07 |
transcript.pyannote[1500].start |
13968.07596875 |
transcript.pyannote[1500].end |
13970.21909375 |
transcript.pyannote[1501].speaker |
SPEAKER_07 |
transcript.pyannote[1501].start |
13972.09221875 |
transcript.pyannote[1501].end |
13992.71346875 |
transcript.pyannote[1502].speaker |
SPEAKER_03 |
transcript.pyannote[1502].start |
13993.59096875 |
transcript.pyannote[1502].end |
14010.93846875 |
transcript.pyannote[1503].speaker |
SPEAKER_07 |
transcript.pyannote[1503].start |
14010.93846875 |
transcript.pyannote[1503].end |
14039.44034375 |
transcript.pyannote[1504].speaker |
SPEAKER_03 |
transcript.pyannote[1504].start |
14039.96346875 |
transcript.pyannote[1504].end |
14062.37346875 |
transcript.pyannote[1505].speaker |
SPEAKER_07 |
transcript.pyannote[1505].start |
14063.65596875 |
transcript.pyannote[1505].end |
14068.44846875 |
transcript.pyannote[1506].speaker |
SPEAKER_00 |
transcript.pyannote[1506].start |
14064.82034375 |
transcript.pyannote[1506].end |
14066.27159375 |
transcript.pyannote[1507].speaker |
SPEAKER_00 |
transcript.pyannote[1507].start |
14067.09846875 |
transcript.pyannote[1507].end |
14067.36846875 |
transcript.pyannote[1508].speaker |
SPEAKER_00 |
transcript.pyannote[1508].start |
14068.44846875 |
transcript.pyannote[1508].end |
14096.96721875 |
transcript.pyannote[1509].speaker |
SPEAKER_00 |
transcript.pyannote[1509].start |
14097.87846875 |
transcript.pyannote[1509].end |
14099.58284375 |
transcript.pyannote[1510].speaker |
SPEAKER_05 |
transcript.pyannote[1510].start |
14099.58284375 |
transcript.pyannote[1510].end |
14119.83284375 |
transcript.pyannote[1511].speaker |
SPEAKER_05 |
transcript.pyannote[1511].start |
14121.50346875 |
transcript.pyannote[1511].end |
14172.02721875 |
transcript.pyannote[1512].speaker |
SPEAKER_05 |
transcript.pyannote[1512].start |
14172.21284375 |
transcript.pyannote[1512].end |
14173.96784375 |
transcript.pyannote[1513].speaker |
SPEAKER_03 |
transcript.pyannote[1513].start |
14173.96784375 |
transcript.pyannote[1513].end |
14176.38096875 |
transcript.pyannote[1514].speaker |
SPEAKER_07 |
transcript.pyannote[1514].start |
14175.82409375 |
transcript.pyannote[1514].end |
14182.30409375 |
transcript.pyannote[1515].speaker |
SPEAKER_05 |
transcript.pyannote[1515].start |
14181.51096875 |
transcript.pyannote[1515].end |
14182.03409375 |
transcript.pyannote[1516].speaker |
SPEAKER_05 |
transcript.pyannote[1516].start |
14182.47284375 |
transcript.pyannote[1516].end |
14185.49346875 |
transcript.pyannote[1517].speaker |
SPEAKER_07 |
transcript.pyannote[1517].start |
14185.88159375 |
transcript.pyannote[1517].end |
14186.43846875 |
transcript.pyannote[1518].speaker |
SPEAKER_05 |
transcript.pyannote[1518].start |
14186.43846875 |
transcript.pyannote[1518].end |
14203.66784375 |
transcript.pyannote[1519].speaker |
SPEAKER_07 |
transcript.pyannote[1519].start |
14187.85596875 |
transcript.pyannote[1519].end |
14188.86846875 |
transcript.pyannote[1520].speaker |
SPEAKER_03 |
transcript.pyannote[1520].start |
14188.86846875 |
transcript.pyannote[1520].end |
14188.88534375 |
transcript.pyannote[1521].speaker |
SPEAKER_07 |
transcript.pyannote[1521].start |
14188.88534375 |
transcript.pyannote[1521].end |
14188.93596875 |
transcript.pyannote[1522].speaker |
SPEAKER_03 |
transcript.pyannote[1522].start |
14193.00284375 |
transcript.pyannote[1522].end |
14193.67784375 |
transcript.pyannote[1523].speaker |
SPEAKER_05 |
transcript.pyannote[1523].start |
14204.25846875 |
transcript.pyannote[1523].end |
14210.40096875 |
transcript.pyannote[1524].speaker |
SPEAKER_07 |
transcript.pyannote[1524].start |
14210.40096875 |
transcript.pyannote[1524].end |
14213.13471875 |
transcript.pyannote[1525].speaker |
SPEAKER_12 |
transcript.pyannote[1525].start |
14213.97846875 |
transcript.pyannote[1525].end |
14220.42471875 |
transcript.pyannote[1526].speaker |
SPEAKER_12 |
transcript.pyannote[1526].start |
14221.36971875 |
transcript.pyannote[1526].end |
14281.59659375 |
transcript.pyannote[1527].speaker |
SPEAKER_07 |
transcript.pyannote[1527].start |
14281.59659375 |
transcript.pyannote[1527].end |
14283.48659375 |
transcript.pyannote[1528].speaker |
SPEAKER_04 |
transcript.pyannote[1528].start |
14285.56221875 |
transcript.pyannote[1528].end |
14286.27096875 |
transcript.pyannote[1529].speaker |
SPEAKER_04 |
transcript.pyannote[1529].start |
14286.77721875 |
transcript.pyannote[1529].end |
14320.12221875 |
transcript.pyannote[1530].speaker |
SPEAKER_07 |
transcript.pyannote[1530].start |
14320.79721875 |
transcript.pyannote[1530].end |
14323.09221875 |
transcript.pyannote[1531].speaker |
SPEAKER_07 |
transcript.pyannote[1531].start |
14324.02034375 |
transcript.pyannote[1531].end |
14326.09596875 |
transcript.pyannote[1532].speaker |
SPEAKER_07 |
transcript.pyannote[1532].start |
14326.92284375 |
transcript.pyannote[1532].end |
14329.21784375 |
transcript.pyannote[1533].speaker |
SPEAKER_07 |
transcript.pyannote[1533].start |
14329.57221875 |
transcript.pyannote[1533].end |
14354.22659375 |
transcript.pyannote[1534].speaker |
SPEAKER_07 |
transcript.pyannote[1534].start |
14354.37846875 |
transcript.pyannote[1534].end |
14361.12846875 |
transcript.pyannote[1535].speaker |
SPEAKER_07 |
transcript.pyannote[1535].start |
14362.86659375 |
transcript.pyannote[1535].end |
14364.28409375 |
transcript.pyannote[1536].speaker |
SPEAKER_05 |
transcript.pyannote[1536].start |
14364.01409375 |
transcript.pyannote[1536].end |
14370.03846875 |
transcript.pyannote[1537].speaker |
SPEAKER_07 |
transcript.pyannote[1537].start |
14366.19096875 |
transcript.pyannote[1537].end |
14367.94596875 |
transcript.pyannote[1538].speaker |
SPEAKER_07 |
transcript.pyannote[1538].start |
14368.63784375 |
transcript.pyannote[1538].end |
14369.24534375 |
transcript.pyannote[1539].speaker |
SPEAKER_05 |
transcript.pyannote[1539].start |
14370.19034375 |
transcript.pyannote[1539].end |
14373.05909375 |
transcript.pyannote[1540].speaker |
SPEAKER_07 |
transcript.pyannote[1540].start |
14371.74284375 |
transcript.pyannote[1540].end |
14372.13096875 |
transcript.pyannote[1541].speaker |
SPEAKER_05 |
transcript.pyannote[1541].start |
14374.00409375 |
transcript.pyannote[1541].end |
14382.13784375 |
transcript.pyannote[1542].speaker |
SPEAKER_03 |
transcript.pyannote[1542].start |
14380.63596875 |
transcript.pyannote[1542].end |
14381.76659375 |
transcript.pyannote[1543].speaker |
SPEAKER_05 |
transcript.pyannote[1543].start |
14382.69471875 |
transcript.pyannote[1543].end |
14392.54971875 |
transcript.pyannote[1544].speaker |
SPEAKER_07 |
transcript.pyannote[1544].start |
14388.65159375 |
transcript.pyannote[1544].end |
14399.77221875 |
transcript.pyannote[1545].speaker |
SPEAKER_03 |
transcript.pyannote[1545].start |
14403.24846875 |
transcript.pyannote[1545].end |
14423.97096875 |
transcript.pyannote[1546].speaker |
SPEAKER_06 |
transcript.pyannote[1546].start |
14416.93409375 |
transcript.pyannote[1546].end |
14417.23784375 |
transcript.pyannote[1547].speaker |
SPEAKER_07 |
transcript.pyannote[1547].start |
14420.78159375 |
transcript.pyannote[1547].end |
14420.96721875 |
transcript.pyannote[1548].speaker |
SPEAKER_07 |
transcript.pyannote[1548].start |
14420.98409375 |
transcript.pyannote[1548].end |
14421.01784375 |
transcript.pyannote[1549].speaker |
SPEAKER_07 |
transcript.pyannote[1549].start |
14422.53659375 |
transcript.pyannote[1549].end |
14426.28284375 |
transcript.pyannote[1550].speaker |
SPEAKER_05 |
transcript.pyannote[1550].start |
14423.97096875 |
transcript.pyannote[1550].end |
14424.57846875 |
transcript.pyannote[1551].speaker |
SPEAKER_03 |
transcript.pyannote[1551].start |
14425.72596875 |
transcript.pyannote[1551].end |
14425.74284375 |
transcript.pyannote[1552].speaker |
SPEAKER_05 |
transcript.pyannote[1552].start |
14425.74284375 |
transcript.pyannote[1552].end |
14451.94971875 |
transcript.pyannote[1553].speaker |
SPEAKER_03 |
transcript.pyannote[1553].start |
14447.57909375 |
transcript.pyannote[1553].end |
14448.96284375 |
transcript.pyannote[1554].speaker |
SPEAKER_00 |
transcript.pyannote[1554].start |
14448.96284375 |
transcript.pyannote[1554].end |
14451.54471875 |
transcript.pyannote[1555].speaker |
SPEAKER_05 |
transcript.pyannote[1555].start |
14452.28721875 |
transcript.pyannote[1555].end |
14455.54409375 |
transcript.pyannote[1556].speaker |
SPEAKER_05 |
transcript.pyannote[1556].start |
14455.96596875 |
transcript.pyannote[1556].end |
14480.02971875 |
transcript.pyannote[1557].speaker |
SPEAKER_03 |
transcript.pyannote[1557].start |
14478.78096875 |
transcript.pyannote[1557].end |
14487.06659375 |
transcript.pyannote[1558].speaker |
SPEAKER_05 |
transcript.pyannote[1558].start |
14480.62034375 |
transcript.pyannote[1558].end |
14480.65409375 |
transcript.pyannote[1559].speaker |
SPEAKER_07 |
transcript.pyannote[1559].start |
14487.06659375 |
transcript.pyannote[1559].end |
14487.18471875 |
transcript.pyannote[1560].speaker |
SPEAKER_03 |
transcript.pyannote[1560].start |
14487.18471875 |
transcript.pyannote[1560].end |
14487.26909375 |
transcript.pyannote[1561].speaker |
SPEAKER_07 |
transcript.pyannote[1561].start |
14487.26909375 |
transcript.pyannote[1561].end |
14487.33659375 |
transcript.pyannote[1562].speaker |
SPEAKER_03 |
transcript.pyannote[1562].start |
14487.33659375 |
transcript.pyannote[1562].end |
14487.72471875 |
transcript.pyannote[1563].speaker |
SPEAKER_07 |
transcript.pyannote[1563].start |
14487.72471875 |
transcript.pyannote[1563].end |
14487.80909375 |
transcript.pyannote[1564].speaker |
SPEAKER_03 |
transcript.pyannote[1564].start |
14487.80909375 |
transcript.pyannote[1564].end |
14488.02846875 |
transcript.pyannote[1565].speaker |
SPEAKER_07 |
transcript.pyannote[1565].start |
14488.02846875 |
transcript.pyannote[1565].end |
14493.29346875 |
transcript.pyannote[1566].speaker |
SPEAKER_03 |
transcript.pyannote[1566].start |
14492.97284375 |
transcript.pyannote[1566].end |
14496.01034375 |
transcript.pyannote[1567].speaker |
SPEAKER_03 |
transcript.pyannote[1567].start |
14496.70221875 |
transcript.pyannote[1567].end |
14498.44034375 |
transcript.pyannote[1568].speaker |
SPEAKER_03 |
transcript.pyannote[1568].start |
14499.60471875 |
transcript.pyannote[1568].end |
14519.02784375 |
transcript.pyannote[1569].speaker |
SPEAKER_05 |
transcript.pyannote[1569].start |
14501.19096875 |
transcript.pyannote[1569].end |
14501.61284375 |
transcript.pyannote[1570].speaker |
SPEAKER_05 |
transcript.pyannote[1570].start |
14502.03471875 |
transcript.pyannote[1570].end |
14503.28346875 |
transcript.pyannote[1571].speaker |
SPEAKER_07 |
transcript.pyannote[1571].start |
14503.28346875 |
transcript.pyannote[1571].end |
14503.30034375 |
transcript.pyannote[1572].speaker |
SPEAKER_07 |
transcript.pyannote[1572].start |
14508.51471875 |
transcript.pyannote[1572].end |
14511.40034375 |
transcript.pyannote[1573].speaker |
SPEAKER_05 |
transcript.pyannote[1573].start |
14519.02784375 |
transcript.pyannote[1573].end |
14547.59721875 |
transcript.pyannote[1574].speaker |
SPEAKER_06 |
transcript.pyannote[1574].start |
14522.70659375 |
transcript.pyannote[1574].end |
14523.19596875 |
transcript.pyannote[1575].speaker |
SPEAKER_03 |
transcript.pyannote[1575].start |
14545.45409375 |
transcript.pyannote[1575].end |
14583.91221875 |
transcript.pyannote[1576].speaker |
SPEAKER_05 |
transcript.pyannote[1576].start |
14551.61346875 |
transcript.pyannote[1576].end |
14553.58784375 |
transcript.pyannote[1577].speaker |
SPEAKER_03 |
transcript.pyannote[1577].start |
14585.48159375 |
transcript.pyannote[1577].end |
14592.19784375 |
transcript.pyannote[1578].speaker |
SPEAKER_05 |
transcript.pyannote[1578].start |
14590.67909375 |
transcript.pyannote[1578].end |
14614.69221875 |
transcript.pyannote[1579].speaker |
SPEAKER_03 |
transcript.pyannote[1579].start |
14593.32846875 |
transcript.pyannote[1579].end |
14594.35784375 |
transcript.pyannote[1580].speaker |
SPEAKER_05 |
transcript.pyannote[1580].start |
14615.33346875 |
transcript.pyannote[1580].end |
14644.00409375 |
transcript.pyannote[1581].speaker |
SPEAKER_00 |
transcript.pyannote[1581].start |
14638.40159375 |
transcript.pyannote[1581].end |
14639.46471875 |
transcript.pyannote[1582].speaker |
SPEAKER_00 |
transcript.pyannote[1582].start |
14639.90346875 |
transcript.pyannote[1582].end |
14639.92034375 |
transcript.pyannote[1583].speaker |
SPEAKER_03 |
transcript.pyannote[1583].start |
14639.92034375 |
transcript.pyannote[1583].end |
14643.27846875 |
transcript.pyannote[1584].speaker |
SPEAKER_07 |
transcript.pyannote[1584].start |
14644.05471875 |
transcript.pyannote[1584].end |
14644.10534375 |
transcript.pyannote[1585].speaker |
SPEAKER_07 |
transcript.pyannote[1585].start |
14644.12221875 |
transcript.pyannote[1585].end |
14644.20659375 |
transcript.pyannote[1586].speaker |
SPEAKER_07 |
transcript.pyannote[1586].start |
14644.59471875 |
transcript.pyannote[1586].end |
14646.70409375 |
transcript.pyannote[1587].speaker |
SPEAKER_07 |
transcript.pyannote[1587].start |
14646.97409375 |
transcript.pyannote[1587].end |
14648.37471875 |
transcript.pyannote[1588].speaker |
SPEAKER_07 |
transcript.pyannote[1588].start |
14649.03284375 |
transcript.pyannote[1588].end |
14649.60659375 |
transcript.pyannote[1589].speaker |
SPEAKER_07 |
transcript.pyannote[1589].start |
14649.85971875 |
transcript.pyannote[1589].end |
14652.20534375 |
transcript.pyannote[1590].speaker |
SPEAKER_07 |
transcript.pyannote[1590].start |
14652.93096875 |
transcript.pyannote[1590].end |
14656.27221875 |
transcript.pyannote[1591].speaker |
SPEAKER_07 |
transcript.pyannote[1591].start |
14656.52534375 |
transcript.pyannote[1591].end |
14658.55034375 |
transcript.pyannote[1592].speaker |
SPEAKER_05 |
transcript.pyannote[1592].start |
14659.19159375 |
transcript.pyannote[1592].end |
14659.76534375 |
transcript.pyannote[1593].speaker |
SPEAKER_05 |
transcript.pyannote[1593].start |
14660.99721875 |
transcript.pyannote[1593].end |
14661.04784375 |
transcript.pyannote[1594].speaker |
SPEAKER_07 |
transcript.pyannote[1594].start |
14661.04784375 |
transcript.pyannote[1594].end |
14661.62159375 |
transcript.pyannote[1595].speaker |
SPEAKER_05 |
transcript.pyannote[1595].start |
14661.06471875 |
transcript.pyannote[1595].end |
14664.27096875 |
transcript.pyannote[1596].speaker |
SPEAKER_05 |
transcript.pyannote[1596].start |
14666.73471875 |
transcript.pyannote[1596].end |
14667.96659375 |
transcript.pyannote[1597].speaker |
SPEAKER_07 |
transcript.pyannote[1597].start |
14668.96221875 |
transcript.pyannote[1597].end |
14669.02971875 |
transcript.pyannote[1598].speaker |
SPEAKER_05 |
transcript.pyannote[1598].start |
14670.86909375 |
transcript.pyannote[1598].end |
14682.17534375 |
transcript.pyannote[1599].speaker |
SPEAKER_03 |
transcript.pyannote[1599].start |
14678.90159375 |
transcript.pyannote[1599].end |
14690.22471875 |
transcript.pyannote[1600].speaker |
SPEAKER_06 |
transcript.pyannote[1600].start |
14689.31346875 |
transcript.pyannote[1600].end |
14689.95471875 |
transcript.pyannote[1601].speaker |
SPEAKER_03 |
transcript.pyannote[1601].start |
14690.47784375 |
transcript.pyannote[1601].end |
14698.72971875 |
transcript.pyannote[1602].speaker |
SPEAKER_05 |
transcript.pyannote[1602].start |
14698.72971875 |
transcript.pyannote[1602].end |
14713.24221875 |
transcript.pyannote[1603].speaker |
SPEAKER_03 |
transcript.pyannote[1603].start |
14699.55659375 |
transcript.pyannote[1603].end |
14700.73784375 |
transcript.pyannote[1604].speaker |
SPEAKER_03 |
transcript.pyannote[1604].start |
14706.59346875 |
transcript.pyannote[1604].end |
14709.52971875 |
transcript.pyannote[1605].speaker |
SPEAKER_03 |
transcript.pyannote[1605].start |
14710.22159375 |
transcript.pyannote[1605].end |
14710.33971875 |
transcript.pyannote[1606].speaker |
SPEAKER_07 |
transcript.pyannote[1606].start |
14711.06534375 |
transcript.pyannote[1606].end |
14712.28034375 |
transcript.pyannote[1607].speaker |
SPEAKER_07 |
transcript.pyannote[1607].start |
14712.44909375 |
transcript.pyannote[1607].end |
14715.06471875 |
transcript.pyannote[1608].speaker |
SPEAKER_05 |
transcript.pyannote[1608].start |
14715.68909375 |
transcript.pyannote[1608].end |
14715.97596875 |
transcript.pyannote[1609].speaker |
SPEAKER_03 |
transcript.pyannote[1609].start |
14715.97596875 |
transcript.pyannote[1609].end |
14720.85284375 |
transcript.pyannote[1610].speaker |
SPEAKER_07 |
transcript.pyannote[1610].start |
14720.32971875 |
transcript.pyannote[1610].end |
14724.43034375 |
transcript.pyannote[1611].speaker |
SPEAKER_03 |
transcript.pyannote[1611].start |
14721.59534375 |
transcript.pyannote[1611].end |
14722.05096875 |
transcript.pyannote[1612].speaker |
SPEAKER_03 |
transcript.pyannote[1612].start |
14723.41784375 |
transcript.pyannote[1612].end |
14725.13909375 |
transcript.pyannote[1613].speaker |
SPEAKER_07 |
transcript.pyannote[1613].start |
14725.27409375 |
transcript.pyannote[1613].end |
14727.16409375 |
transcript.pyannote[1614].speaker |
SPEAKER_03 |
transcript.pyannote[1614].start |
14726.99534375 |
transcript.pyannote[1614].end |
14731.02846875 |
transcript.pyannote[1615].speaker |
SPEAKER_03 |
transcript.pyannote[1615].start |
14732.42909375 |
transcript.pyannote[1615].end |
14736.96846875 |
transcript.pyannote[1616].speaker |
SPEAKER_03 |
transcript.pyannote[1616].start |
14737.42409375 |
transcript.pyannote[1616].end |
14742.26721875 |
transcript.pyannote[1617].speaker |
SPEAKER_05 |
transcript.pyannote[1617].start |
14744.98409375 |
transcript.pyannote[1617].end |
14763.15846875 |
transcript.pyannote[1618].speaker |
SPEAKER_05 |
transcript.pyannote[1618].start |
14763.22596875 |
transcript.pyannote[1618].end |
14784.06659375 |
transcript.pyannote[1619].speaker |
SPEAKER_00 |
transcript.pyannote[1619].start |
14763.32721875 |
transcript.pyannote[1619].end |
14764.50846875 |
transcript.pyannote[1620].speaker |
SPEAKER_00 |
transcript.pyannote[1620].start |
14764.57596875 |
transcript.pyannote[1620].end |
14764.62659375 |
transcript.pyannote[1621].speaker |
SPEAKER_00 |
transcript.pyannote[1621].start |
14764.72784375 |
transcript.pyannote[1621].end |
14765.48721875 |
transcript.pyannote[1622].speaker |
SPEAKER_03 |
transcript.pyannote[1622].start |
14781.67034375 |
transcript.pyannote[1622].end |
14796.48659375 |
transcript.pyannote[1623].speaker |
SPEAKER_07 |
transcript.pyannote[1623].start |
14795.44034375 |
transcript.pyannote[1623].end |
14797.83659375 |
transcript.pyannote[1624].speaker |
SPEAKER_07 |
transcript.pyannote[1624].start |
14798.91659375 |
transcript.pyannote[1624].end |
14801.05971875 |
transcript.pyannote[1625].speaker |
SPEAKER_03 |
transcript.pyannote[1625].start |
14801.86971875 |
transcript.pyannote[1625].end |
14804.92409375 |
transcript.pyannote[1626].speaker |
SPEAKER_03 |
transcript.pyannote[1626].start |
14804.95784375 |
transcript.pyannote[1626].end |
14811.47159375 |
transcript.pyannote[1627].speaker |
SPEAKER_07 |
transcript.pyannote[1627].start |
14808.50159375 |
transcript.pyannote[1627].end |
14847.36471875 |
transcript.pyannote[1628].speaker |
SPEAKER_07 |
transcript.pyannote[1628].start |
14848.14096875 |
transcript.pyannote[1628].end |
14864.86409375 |
transcript.pyannote[1629].speaker |
SPEAKER_07 |
transcript.pyannote[1629].start |
14864.96534375 |
transcript.pyannote[1629].end |
14864.99909375 |
transcript.pyannote[1630].speaker |
SPEAKER_07 |
transcript.pyannote[1630].start |
14865.38721875 |
transcript.pyannote[1630].end |
14865.72471875 |
transcript.pyannote[1631].speaker |
SPEAKER_07 |
transcript.pyannote[1631].start |
14865.97784375 |
transcript.pyannote[1631].end |
14867.53034375 |
transcript.pyannote[1632].speaker |
SPEAKER_07 |
transcript.pyannote[1632].start |
14867.93534375 |
transcript.pyannote[1632].end |
14872.50846875 |
transcript.pyannote[1633].speaker |
SPEAKER_07 |
transcript.pyannote[1633].start |
14872.71096875 |
transcript.pyannote[1633].end |
14891.79659375 |
transcript.pyannote[1634].speaker |
SPEAKER_03 |
transcript.pyannote[1634].start |
14891.79659375 |
transcript.pyannote[1634].end |
14896.97721875 |
transcript.pyannote[1635].speaker |
SPEAKER_07 |
transcript.pyannote[1635].start |
14896.97721875 |
transcript.pyannote[1635].end |
14941.34159375 |
transcript.pyannote[1636].speaker |
SPEAKER_03 |
transcript.pyannote[1636].start |
14896.99409375 |
transcript.pyannote[1636].end |
14897.58471875 |
transcript.pyannote[1637].speaker |
SPEAKER_03 |
transcript.pyannote[1637].start |
14898.91784375 |
transcript.pyannote[1637].end |
14899.76159375 |
transcript.pyannote[1638].speaker |
SPEAKER_12 |
transcript.pyannote[1638].start |
14941.81409375 |
transcript.pyannote[1638].end |
14945.17221875 |
transcript.pyannote[1639].speaker |
SPEAKER_07 |
transcript.pyannote[1639].start |
14947.88909375 |
transcript.pyannote[1639].end |
14948.29409375 |
transcript.pyannote[1640].speaker |
SPEAKER_12 |
transcript.pyannote[1640].start |
14950.58909375 |
transcript.pyannote[1640].end |
14953.71096875 |
transcript.pyannote[1641].speaker |
SPEAKER_03 |
transcript.pyannote[1641].start |
14953.05284375 |
transcript.pyannote[1641].end |
14957.74409375 |
transcript.pyannote[1642].speaker |
SPEAKER_07 |
transcript.pyannote[1642].start |
14957.74409375 |
transcript.pyannote[1642].end |
14967.09284375 |
transcript.pyannote[1643].speaker |
SPEAKER_07 |
transcript.pyannote[1643].start |
14967.31221875 |
transcript.pyannote[1643].end |
14968.69596875 |
transcript.pyannote[1644].speaker |
SPEAKER_07 |
transcript.pyannote[1644].start |
14969.55659375 |
transcript.pyannote[1644].end |
14969.97846875 |
transcript.pyannote[1645].speaker |
SPEAKER_10 |
transcript.pyannote[1645].start |
14969.97846875 |
transcript.pyannote[1645].end |
14982.41534375 |
transcript.pyannote[1646].speaker |
SPEAKER_07 |
transcript.pyannote[1646].start |
14982.41534375 |
transcript.pyannote[1646].end |
14982.43221875 |
transcript.pyannote[1647].speaker |
SPEAKER_10 |
transcript.pyannote[1647].start |
14982.43221875 |
transcript.pyannote[1647].end |
14984.03534375 |
transcript.pyannote[1648].speaker |
SPEAKER_07 |
transcript.pyannote[1648].start |
14984.03534375 |
transcript.pyannote[1648].end |
14985.16596875 |
transcript.pyannote[1649].speaker |
SPEAKER_03 |
transcript.pyannote[1649].start |
14985.50346875 |
transcript.pyannote[1649].end |
14988.99659375 |
transcript.pyannote[1650].speaker |
SPEAKER_07 |
transcript.pyannote[1650].start |
14988.03471875 |
transcript.pyannote[1650].end |
14992.28721875 |
transcript.pyannote[1651].speaker |
SPEAKER_10 |
transcript.pyannote[1651].start |
14994.26159375 |
transcript.pyannote[1651].end |
14998.71659375 |
transcript.pyannote[1652].speaker |
SPEAKER_03 |
transcript.pyannote[1652].start |
14996.97846875 |
transcript.pyannote[1652].end |
15007.12034375 |
transcript.pyannote[1653].speaker |
SPEAKER_07 |
transcript.pyannote[1653].start |
15007.30596875 |
transcript.pyannote[1653].end |
15011.77784375 |
transcript.pyannote[1654].speaker |
SPEAKER_07 |
transcript.pyannote[1654].start |
15011.86221875 |
transcript.pyannote[1654].end |
15016.51971875 |
transcript.pyannote[1655].speaker |
SPEAKER_07 |
transcript.pyannote[1655].start |
15016.57034375 |
transcript.pyannote[1655].end |
15016.60409375 |
transcript.pyannote[1656].speaker |
SPEAKER_03 |
transcript.pyannote[1656].start |
15016.60409375 |
transcript.pyannote[1656].end |
15016.97534375 |
transcript.pyannote[1657].speaker |
SPEAKER_07 |
transcript.pyannote[1657].start |
15016.95846875 |
transcript.pyannote[1657].end |
15017.73471875 |
transcript.pyannote[1658].speaker |
SPEAKER_03 |
transcript.pyannote[1658].start |
15016.99221875 |
transcript.pyannote[1658].end |
15017.00909375 |
transcript.pyannote[1659].speaker |
SPEAKER_03 |
transcript.pyannote[1659].start |
15017.61659375 |
transcript.pyannote[1659].end |
15020.62034375 |
transcript.pyannote[1660].speaker |
SPEAKER_07 |
transcript.pyannote[1660].start |
15018.86534375 |
transcript.pyannote[1660].end |
15022.62846875 |
transcript.pyannote[1661].speaker |
SPEAKER_03 |
transcript.pyannote[1661].start |
15023.03346875 |
transcript.pyannote[1661].end |
15024.78846875 |
transcript.pyannote[1662].speaker |
SPEAKER_07 |
transcript.pyannote[1662].start |
15023.15159375 |
transcript.pyannote[1662].end |
15054.15096875 |
transcript.pyannote[1663].speaker |
SPEAKER_07 |
transcript.pyannote[1663].start |
15054.77534375 |
transcript.pyannote[1663].end |
15067.92096875 |
transcript.pyannote[1664].speaker |
SPEAKER_07 |
transcript.pyannote[1664].start |
15067.97159375 |
transcript.pyannote[1664].end |
15067.98846875 |
transcript.pyannote[1665].speaker |
SPEAKER_07 |
transcript.pyannote[1665].start |
15068.74784375 |
transcript.pyannote[1665].end |
15074.29971875 |
transcript.pyannote[1666].speaker |
SPEAKER_03 |
transcript.pyannote[1666].start |
15075.14346875 |
transcript.pyannote[1666].end |
15086.06159375 |
transcript.pyannote[1667].speaker |
SPEAKER_03 |
transcript.pyannote[1667].start |
15086.61846875 |
transcript.pyannote[1667].end |
15089.21721875 |
transcript.pyannote[1668].speaker |
SPEAKER_07 |
transcript.pyannote[1668].start |
15089.21721875 |
transcript.pyannote[1668].end |
15089.36909375 |
transcript.pyannote[1669].speaker |
SPEAKER_07 |
transcript.pyannote[1669].start |
15089.58846875 |
transcript.pyannote[1669].end |
15089.65596875 |
transcript.pyannote[1670].speaker |
SPEAKER_07 |
transcript.pyannote[1670].start |
15089.97659375 |
transcript.pyannote[1670].end |
15142.01909375 |
transcript.pyannote[1671].speaker |
SPEAKER_07 |
transcript.pyannote[1671].start |
15142.32284375 |
transcript.pyannote[1671].end |
15143.09909375 |
transcript.pyannote[1672].speaker |
SPEAKER_03 |
transcript.pyannote[1672].start |
15143.62221875 |
transcript.pyannote[1672].end |
15149.20784375 |
transcript.pyannote[1673].speaker |
SPEAKER_03 |
transcript.pyannote[1673].start |
15149.83221875 |
transcript.pyannote[1673].end |
15149.96721875 |
transcript.pyannote[1674].speaker |
SPEAKER_07 |
transcript.pyannote[1674].start |
15149.96721875 |
transcript.pyannote[1674].end |
15150.50721875 |
transcript.pyannote[1675].speaker |
SPEAKER_03 |
transcript.pyannote[1675].start |
15149.98409375 |
transcript.pyannote[1675].end |
15150.01784375 |
transcript.pyannote[1676].speaker |
SPEAKER_03 |
transcript.pyannote[1676].start |
15150.03471875 |
transcript.pyannote[1676].end |
15150.11909375 |
transcript.pyannote[1677].speaker |
SPEAKER_03 |
transcript.pyannote[1677].start |
15150.50721875 |
transcript.pyannote[1677].end |
15155.48534375 |
transcript.pyannote[1678].speaker |
SPEAKER_07 |
transcript.pyannote[1678].start |
15151.48596875 |
transcript.pyannote[1678].end |
15160.98659375 |
transcript.pyannote[1679].speaker |
SPEAKER_07 |
transcript.pyannote[1679].start |
15163.55159375 |
transcript.pyannote[1679].end |
15165.18846875 |
transcript.pyannote[1680].speaker |
SPEAKER_05 |
transcript.pyannote[1680].start |
15169.52534375 |
transcript.pyannote[1680].end |
15169.55909375 |
transcript.pyannote[1681].speaker |
SPEAKER_05 |
transcript.pyannote[1681].start |
15169.57596875 |
transcript.pyannote[1681].end |
15169.79534375 |
transcript.pyannote[1682].speaker |
SPEAKER_03 |
transcript.pyannote[1682].start |
15170.20034375 |
transcript.pyannote[1682].end |
15174.67221875 |
transcript.pyannote[1683].speaker |
SPEAKER_07 |
transcript.pyannote[1683].start |
15171.28034375 |
transcript.pyannote[1683].end |
15171.68534375 |
transcript.pyannote[1684].speaker |
SPEAKER_07 |
transcript.pyannote[1684].start |
15171.88784375 |
transcript.pyannote[1684].end |
15171.90471875 |
transcript.pyannote[1685].speaker |
SPEAKER_07 |
transcript.pyannote[1685].start |
15171.92159375 |
transcript.pyannote[1685].end |
15172.07346875 |
transcript.pyannote[1686].speaker |
SPEAKER_07 |
transcript.pyannote[1686].start |
15173.74409375 |
transcript.pyannote[1686].end |
15176.84909375 |
transcript.pyannote[1687].speaker |
SPEAKER_03 |
transcript.pyannote[1687].start |
15174.68909375 |
transcript.pyannote[1687].end |
15174.77346875 |
transcript.pyannote[1688].speaker |
SPEAKER_03 |
transcript.pyannote[1688].start |
15175.04346875 |
transcript.pyannote[1688].end |
15175.36409375 |
transcript.pyannote[1689].speaker |
SPEAKER_03 |
transcript.pyannote[1689].start |
15176.56221875 |
transcript.pyannote[1689].end |
15177.86159375 |
transcript.pyannote[1690].speaker |
SPEAKER_07 |
transcript.pyannote[1690].start |
15178.18221875 |
transcript.pyannote[1690].end |
15199.54596875 |
transcript.pyannote[1691].speaker |
SPEAKER_03 |
transcript.pyannote[1691].start |
15200.72721875 |
transcript.pyannote[1691].end |
15201.23346875 |
transcript.pyannote[1692].speaker |
SPEAKER_03 |
transcript.pyannote[1692].start |
15203.96721875 |
transcript.pyannote[1692].end |
15210.54846875 |
transcript.pyannote[1693].speaker |
SPEAKER_07 |
transcript.pyannote[1693].start |
15209.77221875 |
transcript.pyannote[1693].end |
15214.02471875 |
transcript.pyannote[1694].speaker |
SPEAKER_03 |
transcript.pyannote[1694].start |
15218.37846875 |
transcript.pyannote[1694].end |
15220.03221875 |
transcript.pyannote[1695].speaker |
SPEAKER_03 |
transcript.pyannote[1695].start |
15220.13346875 |
transcript.pyannote[1695].end |
15222.12471875 |
transcript.pyannote[1696].speaker |
SPEAKER_07 |
transcript.pyannote[1696].start |
15222.12471875 |
transcript.pyannote[1696].end |
15222.90096875 |
transcript.pyannote[1697].speaker |
SPEAKER_03 |
transcript.pyannote[1697].start |
15222.90096875 |
transcript.pyannote[1697].end |
15222.91784375 |
transcript.pyannote[1698].speaker |
SPEAKER_07 |
transcript.pyannote[1698].start |
15223.62659375 |
transcript.pyannote[1698].end |
15252.19596875 |
transcript.pyannote[1699].speaker |
SPEAKER_07 |
transcript.pyannote[1699].start |
15252.75284375 |
transcript.pyannote[1699].end |
15254.44034375 |
transcript.pyannote[1700].speaker |
SPEAKER_07 |
transcript.pyannote[1700].start |
15254.57534375 |
transcript.pyannote[1700].end |
15255.04784375 |
transcript.pyannote[1701].speaker |
SPEAKER_03 |
transcript.pyannote[1701].start |
15255.80721875 |
transcript.pyannote[1701].end |
15257.30909375 |
transcript.pyannote[1702].speaker |
SPEAKER_07 |
transcript.pyannote[1702].start |
15256.93784375 |
transcript.pyannote[1702].end |
15260.24534375 |
transcript.pyannote[1703].speaker |
SPEAKER_03 |
transcript.pyannote[1703].start |
15260.24534375 |
transcript.pyannote[1703].end |
15260.26221875 |
transcript.pyannote[1704].speaker |
SPEAKER_03 |
transcript.pyannote[1704].start |
15261.37596875 |
transcript.pyannote[1704].end |
15261.39284375 |
transcript.pyannote[1705].speaker |
SPEAKER_03 |
transcript.pyannote[1705].start |
15261.44346875 |
transcript.pyannote[1705].end |
15261.49409375 |
transcript.pyannote[1706].speaker |
SPEAKER_07 |
transcript.pyannote[1706].start |
15265.17284375 |
transcript.pyannote[1706].end |
15266.42159375 |
transcript.pyannote[1707].speaker |
SPEAKER_07 |
transcript.pyannote[1707].start |
15267.88971875 |
transcript.pyannote[1707].end |
15269.45909375 |
transcript.pyannote[1708].speaker |
SPEAKER_07 |
transcript.pyannote[1708].start |
15270.67409375 |
transcript.pyannote[1708].end |
15283.07721875 |
transcript.pyannote[1709].speaker |
SPEAKER_07 |
transcript.pyannote[1709].start |
15283.92096875 |
transcript.pyannote[1709].end |
15285.40596875 |
transcript.pyannote[1710].speaker |
SPEAKER_07 |
transcript.pyannote[1710].start |
15285.72659375 |
transcript.pyannote[1710].end |
15290.60346875 |
transcript.pyannote[1711].speaker |
SPEAKER_00 |
transcript.pyannote[1711].start |
15286.95846875 |
transcript.pyannote[1711].end |
15287.61659375 |
transcript.pyannote[1712].speaker |
SPEAKER_07 |
transcript.pyannote[1712].start |
15291.46409375 |
transcript.pyannote[1712].end |
15295.19346875 |
transcript.pyannote[1713].speaker |
SPEAKER_07 |
transcript.pyannote[1713].start |
15296.22284375 |
transcript.pyannote[1713].end |
15341.51534375 |
transcript.pyannote[1714].speaker |
SPEAKER_07 |
transcript.pyannote[1714].start |
15342.10596875 |
transcript.pyannote[1714].end |
15347.21909375 |
transcript.pyannote[1715].speaker |
SPEAKER_03 |
transcript.pyannote[1715].start |
15347.72534375 |
transcript.pyannote[1715].end |
15362.94659375 |
transcript.pyannote[1716].speaker |
SPEAKER_07 |
transcript.pyannote[1716].start |
15363.55409375 |
transcript.pyannote[1716].end |
15382.65659375 |
transcript.pyannote[1717].speaker |
SPEAKER_07 |
transcript.pyannote[1717].start |
15383.61846875 |
transcript.pyannote[1717].end |
15384.02346875 |
transcript.pyannote[1718].speaker |
SPEAKER_03 |
transcript.pyannote[1718].start |
15383.70284375 |
transcript.pyannote[1718].end |
15384.81659375 |
transcript.pyannote[1719].speaker |
SPEAKER_07 |
transcript.pyannote[1719].start |
15384.37784375 |
transcript.pyannote[1719].end |
15405.72471875 |
transcript.pyannote[1720].speaker |
SPEAKER_03 |
transcript.pyannote[1720].start |
15385.28909375 |
transcript.pyannote[1720].end |
15385.74471875 |
transcript.pyannote[1721].speaker |
SPEAKER_03 |
transcript.pyannote[1721].start |
15406.97346875 |
transcript.pyannote[1721].end |
15407.83409375 |
transcript.pyannote[1722].speaker |
SPEAKER_07 |
transcript.pyannote[1722].start |
15408.40784375 |
transcript.pyannote[1722].end |
15409.15034375 |
transcript.pyannote[1723].speaker |
SPEAKER_07 |
transcript.pyannote[1723].start |
15410.46659375 |
transcript.pyannote[1723].end |
15411.42846875 |
transcript.pyannote[1724].speaker |
SPEAKER_05 |
transcript.pyannote[1724].start |
15411.42846875 |
transcript.pyannote[1724].end |
15411.44534375 |
transcript.pyannote[1725].speaker |
SPEAKER_05 |
transcript.pyannote[1725].start |
15411.58034375 |
transcript.pyannote[1725].end |
15412.62659375 |
transcript.pyannote[1726].speaker |
SPEAKER_05 |
transcript.pyannote[1726].start |
15412.96409375 |
transcript.pyannote[1726].end |
15415.49534375 |
transcript.pyannote[1727].speaker |
SPEAKER_03 |
transcript.pyannote[1727].start |
15414.49971875 |
transcript.pyannote[1727].end |
15426.83534375 |
transcript.pyannote[1728].speaker |
SPEAKER_05 |
transcript.pyannote[1728].start |
15415.52909375 |
transcript.pyannote[1728].end |
15415.71471875 |
transcript.pyannote[1729].speaker |
SPEAKER_07 |
transcript.pyannote[1729].start |
15424.50659375 |
transcript.pyannote[1729].end |
15431.37471875 |
transcript.pyannote[1730].speaker |
SPEAKER_06 |
transcript.pyannote[1730].start |
15432.21846875 |
transcript.pyannote[1730].end |
15432.45471875 |
transcript.pyannote[1731].speaker |
SPEAKER_07 |
transcript.pyannote[1731].start |
15434.02409375 |
transcript.pyannote[1731].end |
15434.05784375 |
transcript.pyannote[1732].speaker |
SPEAKER_00 |
transcript.pyannote[1732].start |
15434.05784375 |
transcript.pyannote[1732].end |
15440.60534375 |
transcript.pyannote[1733].speaker |
SPEAKER_07 |
transcript.pyannote[1733].start |
15435.74534375 |
transcript.pyannote[1733].end |
15435.86346875 |
transcript.pyannote[1734].speaker |
SPEAKER_00 |
transcript.pyannote[1734].start |
15440.84159375 |
transcript.pyannote[1734].end |
15467.70659375 |
transcript.pyannote[1735].speaker |
SPEAKER_00 |
transcript.pyannote[1735].start |
15468.21284375 |
transcript.pyannote[1735].end |
15469.76534375 |
transcript.pyannote[1736].speaker |
SPEAKER_00 |
transcript.pyannote[1736].start |
15470.28846875 |
transcript.pyannote[1736].end |
15473.96721875 |
transcript.pyannote[1737].speaker |
SPEAKER_07 |
transcript.pyannote[1737].start |
15473.96721875 |
transcript.pyannote[1737].end |
15493.44096875 |
transcript.pyannote[1738].speaker |
SPEAKER_07 |
transcript.pyannote[1738].start |
15494.01471875 |
transcript.pyannote[1738].end |
15495.82034375 |
transcript.pyannote[1739].speaker |
SPEAKER_13 |
transcript.pyannote[1739].start |
15497.30534375 |
transcript.pyannote[1739].end |
15499.06034375 |
transcript.pyannote[1740].speaker |
SPEAKER_13 |
transcript.pyannote[1740].start |
15499.39784375 |
transcript.pyannote[1740].end |
15508.45971875 |
transcript.pyannote[1741].speaker |
SPEAKER_13 |
transcript.pyannote[1741].start |
15508.51034375 |
transcript.pyannote[1741].end |
15512.61096875 |
transcript.pyannote[1742].speaker |
SPEAKER_13 |
transcript.pyannote[1742].start |
15512.94846875 |
transcript.pyannote[1742].end |
15513.67409375 |
transcript.pyannote[1743].speaker |
SPEAKER_13 |
transcript.pyannote[1743].start |
15513.72471875 |
transcript.pyannote[1743].end |
15516.84659375 |
transcript.pyannote[1744].speaker |
SPEAKER_13 |
transcript.pyannote[1744].start |
15517.06596875 |
transcript.pyannote[1744].end |
15523.24221875 |
transcript.pyannote[1745].speaker |
SPEAKER_13 |
transcript.pyannote[1745].start |
15523.76534375 |
transcript.pyannote[1745].end |
15540.26909375 |
transcript.pyannote[1746].speaker |
SPEAKER_13 |
transcript.pyannote[1746].start |
15540.40409375 |
transcript.pyannote[1746].end |
15543.49221875 |
transcript.pyannote[1747].speaker |
SPEAKER_13 |
transcript.pyannote[1747].start |
15543.71159375 |
transcript.pyannote[1747].end |
15544.55534375 |
transcript.pyannote[1748].speaker |
SPEAKER_13 |
transcript.pyannote[1748].start |
15544.77471875 |
transcript.pyannote[1748].end |
15548.30159375 |
transcript.pyannote[1749].speaker |
SPEAKER_13 |
transcript.pyannote[1749].start |
15548.48721875 |
transcript.pyannote[1749].end |
15552.43596875 |
transcript.pyannote[1750].speaker |
SPEAKER_13 |
transcript.pyannote[1750].start |
15552.62159375 |
transcript.pyannote[1750].end |
15553.51596875 |
transcript.pyannote[1751].speaker |
SPEAKER_13 |
transcript.pyannote[1751].start |
15553.63409375 |
transcript.pyannote[1751].end |
15556.09784375 |
transcript.pyannote[1752].speaker |
SPEAKER_13 |
transcript.pyannote[1752].start |
15556.38471875 |
transcript.pyannote[1752].end |
15573.05721875 |
transcript.pyannote[1753].speaker |
SPEAKER_13 |
transcript.pyannote[1753].start |
15573.27659375 |
transcript.pyannote[1753].end |
15576.21284375 |
transcript.pyannote[1754].speaker |
SPEAKER_13 |
transcript.pyannote[1754].start |
15576.28034375 |
transcript.pyannote[1754].end |
15598.36971875 |
transcript.pyannote[1755].speaker |
SPEAKER_13 |
transcript.pyannote[1755].start |
15598.82534375 |
transcript.pyannote[1755].end |
15607.48221875 |
transcript.pyannote[1756].speaker |
SPEAKER_13 |
transcript.pyannote[1756].start |
15607.75221875 |
transcript.pyannote[1756].end |
15609.01784375 |
transcript.pyannote[1757].speaker |
SPEAKER_13 |
transcript.pyannote[1757].start |
15610.23284375 |
transcript.pyannote[1757].end |
15625.48784375 |
transcript.pyannote[1758].speaker |
SPEAKER_13 |
transcript.pyannote[1758].start |
15626.21346875 |
transcript.pyannote[1758].end |
15628.87971875 |
transcript.pyannote[1759].speaker |
SPEAKER_13 |
transcript.pyannote[1759].start |
15628.99784375 |
transcript.pyannote[1759].end |
15643.27409375 |
transcript.pyannote[1760].speaker |
SPEAKER_13 |
transcript.pyannote[1760].start |
15643.61159375 |
transcript.pyannote[1760].end |
15652.50471875 |
transcript.pyannote[1761].speaker |
SPEAKER_13 |
transcript.pyannote[1761].start |
15652.89284375 |
transcript.pyannote[1761].end |
15656.97659375 |
transcript.pyannote[1762].speaker |
SPEAKER_13 |
transcript.pyannote[1762].start |
15657.78659375 |
transcript.pyannote[1762].end |
15660.25034375 |
transcript.pyannote[1763].speaker |
SPEAKER_13 |
transcript.pyannote[1763].start |
15660.30096875 |
transcript.pyannote[1763].end |
15661.22909375 |
transcript.pyannote[1764].speaker |
SPEAKER_13 |
transcript.pyannote[1764].start |
15661.70159375 |
transcript.pyannote[1764].end |
15666.93284375 |
transcript.pyannote[1765].speaker |
SPEAKER_13 |
transcript.pyannote[1765].start |
15667.57409375 |
transcript.pyannote[1765].end |
15673.88534375 |
transcript.pyannote[1766].speaker |
SPEAKER_13 |
transcript.pyannote[1766].start |
15674.44221875 |
transcript.pyannote[1766].end |
15677.00721875 |
transcript.pyannote[1767].speaker |
SPEAKER_13 |
transcript.pyannote[1767].start |
15677.42909375 |
transcript.pyannote[1767].end |
15679.18409375 |
transcript.pyannote[1768].speaker |
SPEAKER_13 |
transcript.pyannote[1768].start |
15679.58909375 |
transcript.pyannote[1768].end |
15683.62221875 |
transcript.pyannote[1769].speaker |
SPEAKER_13 |
transcript.pyannote[1769].start |
15684.16221875 |
transcript.pyannote[1769].end |
15688.22909375 |
transcript.pyannote[1770].speaker |
SPEAKER_13 |
transcript.pyannote[1770].start |
15688.48221875 |
transcript.pyannote[1770].end |
15693.30846875 |
transcript.pyannote[1771].speaker |
SPEAKER_13 |
transcript.pyannote[1771].start |
15693.61221875 |
transcript.pyannote[1771].end |
15695.06346875 |
transcript.pyannote[1772].speaker |
SPEAKER_13 |
transcript.pyannote[1772].start |
15695.50221875 |
transcript.pyannote[1772].end |
15705.77909375 |
transcript.pyannote[1773].speaker |
SPEAKER_06 |
transcript.pyannote[1773].start |
15705.50909375 |
transcript.pyannote[1773].end |
15706.92659375 |
transcript.pyannote[1774].speaker |
SPEAKER_13 |
transcript.pyannote[1774].start |
15705.96471875 |
transcript.pyannote[1774].end |
15705.99846875 |
transcript.pyannote[1775].speaker |
SPEAKER_13 |
transcript.pyannote[1775].start |
15706.43721875 |
transcript.pyannote[1775].end |
15715.49909375 |
transcript.pyannote[1776].speaker |
SPEAKER_13 |
transcript.pyannote[1776].start |
15716.22471875 |
transcript.pyannote[1776].end |
15722.23221875 |
transcript.pyannote[1777].speaker |
SPEAKER_13 |
transcript.pyannote[1777].start |
15722.31659375 |
transcript.pyannote[1777].end |
15726.06284375 |
transcript.pyannote[1778].speaker |
SPEAKER_13 |
transcript.pyannote[1778].start |
15726.28221875 |
transcript.pyannote[1778].end |
15729.20159375 |
transcript.pyannote[1779].speaker |
SPEAKER_13 |
transcript.pyannote[1779].start |
15729.38721875 |
transcript.pyannote[1779].end |
15730.61909375 |
transcript.pyannote[1780].speaker |
SPEAKER_13 |
transcript.pyannote[1780].start |
15731.76659375 |
transcript.pyannote[1780].end |
15740.49096875 |
transcript.pyannote[1781].speaker |
SPEAKER_13 |
transcript.pyannote[1781].start |
15740.71034375 |
transcript.pyannote[1781].end |
15746.49846875 |
transcript.pyannote[1782].speaker |
SPEAKER_13 |
transcript.pyannote[1782].start |
15746.54909375 |
transcript.pyannote[1782].end |
15750.56534375 |
transcript.pyannote[1783].speaker |
SPEAKER_13 |
transcript.pyannote[1783].start |
15750.88596875 |
transcript.pyannote[1783].end |
15776.70471875 |
transcript.pyannote[1784].speaker |
SPEAKER_07 |
transcript.pyannote[1784].start |
15778.08846875 |
transcript.pyannote[1784].end |
15780.14721875 |
transcript.pyannote[1785].speaker |
SPEAKER_07 |
transcript.pyannote[1785].start |
15780.51846875 |
transcript.pyannote[1785].end |
15781.44659375 |
transcript.pyannote[1786].speaker |
SPEAKER_07 |
transcript.pyannote[1786].start |
15782.29034375 |
transcript.pyannote[1786].end |
15802.77659375 |
transcript.pyannote[1787].speaker |
SPEAKER_07 |
transcript.pyannote[1787].start |
15803.51909375 |
transcript.pyannote[1787].end |
15813.44159375 |
transcript.pyannote[1788].speaker |
SPEAKER_07 |
transcript.pyannote[1788].start |
15814.20096875 |
transcript.pyannote[1788].end |
15825.37221875 |
transcript.pyannote[1789].speaker |
SPEAKER_07 |
transcript.pyannote[1789].start |
15825.91221875 |
transcript.pyannote[1789].end |
15827.39721875 |
transcript.pyannote[1790].speaker |
SPEAKER_03 |
transcript.pyannote[1790].start |
15828.00471875 |
transcript.pyannote[1790].end |
15828.03846875 |
transcript.pyannote[1791].speaker |
SPEAKER_07 |
transcript.pyannote[1791].start |
15828.03846875 |
transcript.pyannote[1791].end |
15829.20284375 |
transcript.pyannote[1792].speaker |
SPEAKER_03 |
transcript.pyannote[1792].start |
15829.20284375 |
transcript.pyannote[1792].end |
15829.33784375 |
transcript.pyannote[1793].speaker |
SPEAKER_07 |
transcript.pyannote[1793].start |
15829.33784375 |
transcript.pyannote[1793].end |
15844.13721875 |
transcript.pyannote[1794].speaker |
SPEAKER_07 |
transcript.pyannote[1794].start |
15844.59284375 |
transcript.pyannote[1794].end |
15844.60971875 |
transcript.pyannote[1795].speaker |
SPEAKER_03 |
transcript.pyannote[1795].start |
15844.60971875 |
transcript.pyannote[1795].end |
15845.92596875 |
transcript.pyannote[1796].speaker |
SPEAKER_07 |
transcript.pyannote[1796].start |
15845.92596875 |
transcript.pyannote[1796].end |
15845.97659375 |
transcript.pyannote[1797].speaker |
SPEAKER_07 |
transcript.pyannote[1797].start |
15845.99346875 |
transcript.pyannote[1797].end |
15847.52909375 |
transcript.pyannote[1798].speaker |
SPEAKER_03 |
transcript.pyannote[1798].start |
15847.98471875 |
transcript.pyannote[1798].end |
15851.29221875 |
transcript.pyannote[1799].speaker |
SPEAKER_07 |
transcript.pyannote[1799].start |
15851.30909375 |
transcript.pyannote[1799].end |
15851.66346875 |
transcript.pyannote[1800].speaker |
SPEAKER_07 |
transcript.pyannote[1800].start |
15852.11909375 |
transcript.pyannote[1800].end |
15859.54409375 |
transcript.pyannote[1801].speaker |
SPEAKER_07 |
transcript.pyannote[1801].start |
15860.38784375 |
transcript.pyannote[1801].end |
15867.10409375 |
transcript.pyannote[1802].speaker |
SPEAKER_07 |
transcript.pyannote[1802].start |
15868.03221875 |
transcript.pyannote[1802].end |
15871.76159375 |
transcript.pyannote[1803].speaker |
SPEAKER_07 |
transcript.pyannote[1803].start |
15872.31846875 |
transcript.pyannote[1803].end |
15876.13221875 |
transcript.pyannote[1804].speaker |
SPEAKER_07 |
transcript.pyannote[1804].start |
15876.60471875 |
transcript.pyannote[1804].end |
15882.67971875 |
transcript.pyannote[1805].speaker |
SPEAKER_07 |
transcript.pyannote[1805].start |
15883.38846875 |
transcript.pyannote[1805].end |
15890.18909375 |
transcript.pyannote[1806].speaker |
SPEAKER_03 |
transcript.pyannote[1806].start |
15891.58971875 |
transcript.pyannote[1806].end |
15892.21409375 |
transcript.pyannote[1807].speaker |
SPEAKER_03 |
transcript.pyannote[1807].start |
15892.43346875 |
transcript.pyannote[1807].end |
15892.51784375 |
transcript.pyannote[1808].speaker |
SPEAKER_07 |
transcript.pyannote[1808].start |
15892.51784375 |
transcript.pyannote[1808].end |
15893.71596875 |
transcript.pyannote[1809].speaker |
SPEAKER_03 |
transcript.pyannote[1809].start |
15892.53471875 |
transcript.pyannote[1809].end |
15892.66971875 |
transcript.pyannote[1810].speaker |
SPEAKER_03 |
transcript.pyannote[1810].start |
15894.17159375 |
transcript.pyannote[1810].end |
15895.31909375 |
transcript.pyannote[1811].speaker |
SPEAKER_07 |
transcript.pyannote[1811].start |
15895.31909375 |
transcript.pyannote[1811].end |
15896.46659375 |
transcript.pyannote[1812].speaker |
SPEAKER_07 |
transcript.pyannote[1812].start |
15897.17534375 |
transcript.pyannote[1812].end |
15899.16659375 |
transcript.pyannote[1813].speaker |
SPEAKER_03 |
transcript.pyannote[1813].start |
15898.27221875 |
transcript.pyannote[1813].end |
15899.03159375 |
transcript.pyannote[1814].speaker |
SPEAKER_03 |
transcript.pyannote[1814].start |
15899.16659375 |
transcript.pyannote[1814].end |
15900.48284375 |
transcript.pyannote[1815].speaker |
SPEAKER_07 |
transcript.pyannote[1815].start |
15899.20034375 |
transcript.pyannote[1815].end |
15900.76971875 |
transcript.pyannote[1816].speaker |
SPEAKER_07 |
transcript.pyannote[1816].start |
15901.71471875 |
transcript.pyannote[1816].end |
15904.19534375 |
transcript.pyannote[1817].speaker |
SPEAKER_07 |
transcript.pyannote[1817].start |
15905.39346875 |
transcript.pyannote[1817].end |
15906.60846875 |
transcript.pyannote[1818].speaker |
SPEAKER_03 |
transcript.pyannote[1818].start |
15905.52846875 |
transcript.pyannote[1818].end |
15905.71409375 |
transcript.pyannote[1819].speaker |
SPEAKER_03 |
transcript.pyannote[1819].start |
15908.61659375 |
transcript.pyannote[1819].end |
15909.15659375 |
transcript.pyannote[1820].speaker |
SPEAKER_07 |
transcript.pyannote[1820].start |
15910.43909375 |
transcript.pyannote[1820].end |
15911.67096875 |
transcript.pyannote[1821].speaker |
SPEAKER_03 |
transcript.pyannote[1821].start |
15911.09721875 |
transcript.pyannote[1821].end |
15911.46846875 |
transcript.pyannote[1822].speaker |
SPEAKER_07 |
transcript.pyannote[1822].start |
15911.90721875 |
transcript.pyannote[1822].end |
15913.12221875 |
transcript.pyannote[1823].speaker |
SPEAKER_03 |
transcript.pyannote[1823].start |
15913.86471875 |
transcript.pyannote[1823].end |
15914.94471875 |
transcript.pyannote[1824].speaker |
SPEAKER_07 |
transcript.pyannote[1824].start |
15915.01221875 |
transcript.pyannote[1824].end |
15917.12159375 |
transcript.pyannote[1825].speaker |
SPEAKER_03 |
transcript.pyannote[1825].start |
15918.67409375 |
transcript.pyannote[1825].end |
15919.78784375 |
transcript.pyannote[1826].speaker |
SPEAKER_07 |
transcript.pyannote[1826].start |
15919.78784375 |
transcript.pyannote[1826].end |
15922.63971875 |
transcript.pyannote[1827].speaker |
SPEAKER_07 |
transcript.pyannote[1827].start |
15923.41596875 |
transcript.pyannote[1827].end |
15928.54596875 |
transcript.pyannote[1828].speaker |
SPEAKER_07 |
transcript.pyannote[1828].start |
15928.90034375 |
transcript.pyannote[1828].end |
15948.40784375 |
transcript.pyannote[1829].speaker |
SPEAKER_07 |
transcript.pyannote[1829].start |
15949.21784375 |
transcript.pyannote[1829].end |
15977.71971875 |
transcript.pyannote[1830].speaker |
SPEAKER_07 |
transcript.pyannote[1830].start |
15981.29721875 |
transcript.pyannote[1830].end |
15982.54596875 |
transcript.pyannote[1831].speaker |
SPEAKER_07 |
transcript.pyannote[1831].start |
15982.96784375 |
transcript.pyannote[1831].end |
15995.38784375 |
transcript.pyannote[1832].speaker |
SPEAKER_07 |
transcript.pyannote[1832].start |
15995.97846875 |
transcript.pyannote[1832].end |
16013.51159375 |
transcript.pyannote[1833].speaker |
SPEAKER_03 |
transcript.pyannote[1833].start |
16015.36784375 |
transcript.pyannote[1833].end |
16017.03846875 |
transcript.pyannote[1834].speaker |
SPEAKER_03 |
transcript.pyannote[1834].start |
16017.32534375 |
transcript.pyannote[1834].end |
16018.35471875 |
transcript.pyannote[1835].speaker |
SPEAKER_08 |
transcript.pyannote[1835].start |
16028.05784375 |
transcript.pyannote[1835].end |
16028.07471875 |
transcript.pyannote[1836].speaker |
SPEAKER_07 |
transcript.pyannote[1836].start |
16028.07471875 |
transcript.pyannote[1836].end |
16028.78346875 |
transcript.pyannote[1837].speaker |
SPEAKER_07 |
transcript.pyannote[1837].start |
16030.25159375 |
transcript.pyannote[1837].end |
16031.80409375 |
transcript.pyannote[1838].speaker |
SPEAKER_07 |
transcript.pyannote[1838].start |
16035.43221875 |
transcript.pyannote[1838].end |
16035.98909375 |
transcript.pyannote[1839].speaker |
SPEAKER_06 |
transcript.pyannote[1839].start |
16035.98909375 |
transcript.pyannote[1839].end |
16036.88346875 |
transcript.pyannote[1840].speaker |
SPEAKER_01 |
transcript.pyannote[1840].start |
16036.88346875 |
transcript.pyannote[1840].end |
16036.91721875 |
transcript.pyannote[1841].speaker |
SPEAKER_06 |
transcript.pyannote[1841].start |
16037.00159375 |
transcript.pyannote[1841].end |
16037.08596875 |
transcript.pyannote[1842].speaker |
SPEAKER_01 |
transcript.pyannote[1842].start |
16037.89596875 |
transcript.pyannote[1842].end |
16037.94659375 |
transcript.pyannote[1843].speaker |
SPEAKER_01 |
transcript.pyannote[1843].start |
16038.04784375 |
transcript.pyannote[1843].end |
16038.11534375 |
transcript.pyannote[1844].speaker |
SPEAKER_02 |
transcript.pyannote[1844].start |
16038.11534375 |
transcript.pyannote[1844].end |
16038.19971875 |
transcript.pyannote[1845].speaker |
SPEAKER_01 |
transcript.pyannote[1845].start |
16038.19971875 |
transcript.pyannote[1845].end |
16038.21659375 |
transcript.pyannote[1846].speaker |
SPEAKER_01 |
transcript.pyannote[1846].start |
16038.31784375 |
transcript.pyannote[1846].end |
16038.35159375 |
transcript.pyannote[1847].speaker |
SPEAKER_02 |
transcript.pyannote[1847].start |
16038.35159375 |
transcript.pyannote[1847].end |
16038.75659375 |
transcript.pyannote[1848].speaker |
SPEAKER_01 |
transcript.pyannote[1848].start |
16038.75659375 |
transcript.pyannote[1848].end |
16038.84096875 |
transcript.pyannote[1849].speaker |
SPEAKER_12 |
transcript.pyannote[1849].start |
16047.88596875 |
transcript.pyannote[1849].end |
16049.13471875 |
transcript.pyannote[1850].speaker |
SPEAKER_06 |
transcript.pyannote[1850].start |
16053.65721875 |
transcript.pyannote[1850].end |
16053.67409375 |
transcript.pyannote[1851].speaker |
SPEAKER_03 |
transcript.pyannote[1851].start |
16053.67409375 |
transcript.pyannote[1851].end |
16054.83846875 |
transcript.pyannote[1852].speaker |
SPEAKER_06 |
transcript.pyannote[1852].start |
16054.83846875 |
transcript.pyannote[1852].end |
16058.82096875 |
transcript.whisperx[0].start |
1872.333 |
transcript.whisperx[0].end |
1880.521 |
transcript.whisperx[0].text |
報告委員會出席委員6人以主法定人數我們開會請議事人員宣讀上次會議議事錄 |
transcript.whisperx[1].start |
1882.625 |
transcript.whisperx[1].end |
1905.555 |
transcript.whisperx[1].text |
立法院第11屆第2會期外交及國防委員會第21次全體委員會議議事錄時間中華民國113年12月9日星期一上午9時至12時38分下午1時28分至4時6分地點紅樓301會議室出席委員王逸川等11人逆襲委員洪孟凱等6人逆襲人員外交部部長林佳龍及所屬人員 |
transcript.whisperx[2].start |
1906.275 |
transcript.whisperx[2].end |
1930.194 |
transcript.whisperx[2].text |
行政院主計總處科長傅慧欣.經濟部人事處專門委員紀嘉琳..農業部國際事務師檢任計政鍾明娟等.主席林昭吉委員易軍.報告事項.宣讀上次會議事錄決定確定.討論事項繼續審查114年度中央政府總預算案關於外交部主管收支公開及機密部分. |
transcript.whisperx[3].start |
1931.034 |
transcript.whisperx[3].end |
1945.512 |
transcript.whisperx[3].text |
決議一公開部分審查結果稅入部分第二款罰款及賠償收入第75項外交部135萬元照列第76項臨時事務局無列數第三款歸費收入第61項 |
transcript.whisperx[4].start |
1947.661 |
transcript.whisperx[4].end |
1967.324 |
transcript.whisperx[4].text |
領事事務局原列36亿8千3百48萬5千元。幀列第一幕行政規費收入2億元。改列為38亿8千3百48萬5千元。第四款財產收入第85項外交部2924萬1千元。照列第86項領事事務局26萬4千元。照列第87項外交及國際事務學院10萬元。照列第7款其他收入第84項外交部4億2290萬元。照列 |
transcript.whisperx[5].start |
1977.746 |
transcript.whisperx[5].end |
2004.696 |
transcript.whisperx[5].text |
第85項臨時事務局876萬8千元照列第86項外交及國際事務學院27萬1千元照列稅出部分第8款外交部主管不含機密部分第一項外交部不含第8目外交支出機密預算原列284億6558萬5千元簡列一、第二目外交管理業務向下基本行政工作維持100萬元 |
transcript.whisperx[6].start |
2006.28 |
transcript.whisperx[6].end |
2012.839 |
transcript.whisperx[6].text |
二(第三目注外機構業務向下注外使領單位基本行政工作維持之業務費315萬元 |
transcript.whisperx[7].start |
2015.922 |
transcript.whisperx[7].end |
2039.809 |
transcript.whisperx[7].text |
第三、第四目國際會議及交流向下出國訪問兩千萬元是第五目國際合作及關懷向下有關亞東太平洋師加強雙邊及多邊合作三百萬元以上共計減列兩千七百一十五萬元科目軍制型調整其餘軍造列改列為兩百八十四億三千八百四十三萬五千元本項通過決議七十八項 |
transcript.whisperx[8].start |
2042.694 |
transcript.whisperx[8].end |
2049.097 |
transcript.whisperx[8].text |
第二項領事事務局15億9117萬7千元照列本項通過決議九項第三項外交及國際事務學院1億0363萬2千元照列本項通過決議六項 |
transcript.whisperx[9].start |
2059.861 |
transcript.whisperx[9].end |
2088.524 |
transcript.whisperx[9].text |
二(機密部分(審查結果秘略三(114年度中央政府總預算案關於外交部主管收支公開及機密部分。(審查完均。(審查結果送財政委員會會政後提報院會。(不需交由黨團協商。(院會討論時有臨召集委員議均說明是有關委員提案內容文字及金額在不影響提案原意下授權議事人員修正處理。宣讀完畢 |
transcript.whisperx[10].start |
2094.544 |
transcript.whisperx[10].end |
2118.052 |
transcript.whisperx[10].text |
因為我們確認議事錄必須現場要有加上本席要三席的委員那今天立法院很遺憾那很多立委要去交通委員會要去內政委員會開會卻遭受到阻止讓可以開會的人不能進去開會所以目前都沒辦法來到包含本委員會的委員現在出席在場人數還是不足所以我們確認議事錄要等待 |
transcript.whisperx[11].start |
2120.469 |
transcript.whisperx[11].end |
2130.1 |
transcript.whisperx[11].text |
連沈博洋委員再加一席委員那越是混亂的時候我們越是要謹守程序所以我們現在先休息等初期委員人數足了我們再繼續後面的程序休息 |
transcript.whisperx[12].start |
2207.455 |
transcript.whisperx[12].end |
2221.74 |
transcript.whisperx[12].text |
要請委員 請他一下 請他一下 學委員上廁所啊 學委員沒有沒有我我 |
transcript.whisperx[13].start |
2236.104 |
transcript.whisperx[13].end |
2242.72 |
transcript.whisperx[13].text |
好我們恢復開會哈請問在場委員對於上一次會議議事錄有遺漏錯誤或需要更正之處 |
transcript.whisperx[14].start |
2244.124 |
transcript.whisperx[14].end |
2264.896 |
transcript.whisperx[14].text |
好我們議事錄確定那我們現在先行把我們今天要進行的程序上午進行的是業務報告那報告完我們隨後會進行預算的審查為了讓時間更有效率我們先有關提案的部分我們這個會議處理公務預算 |
transcript.whisperx[15].start |
2267.257 |
transcript.whisperx[15].end |
2290.798 |
transcript.whisperx[15].text |
機密提案數不多所以我們機密提案數等機密會議的時候再來宣讀那我們現在先宣讀公開部分的這個預算提案那宣達完我們再回到正常程序這個提案這個處理程序有貞德沈伯陽委員跟徐曉新委員同意那我們就先把宣讀公開預算部分的提案先進行討論時間還沒變 |
transcript.whisperx[16].start |
2294.124 |
transcript.whisperx[16].end |
2300.82 |
transcript.whisperx[16].text |
好我剛才這個徵詢學委沒意見了齁學委也沒有意見了齁好那我們現在先請醫生員宣讀討論事項 |
transcript.whisperx[17].start |
2304.295 |
transcript.whisperx[17].end |
2305.376 |
transcript.whisperx[17].text |
捐贈僑生獎助學金及監控地區僑民學校施支輔助基金。宣讀完畢。 |
transcript.whisperx[18].start |
2331.206 |
transcript.whisperx[18].end |
2350.716 |
transcript.whisperx[18].text |
我們在場有沈伯陽委員、徐曉新委員還有林楚英委員今天非常歡迎我們僑委會委員長徐家青以及我們的副委員長呂元榮還有主秘張良明綜合規劃處處長郭淑珍僑民處處長賴立寅僑教處代理處長陳伯琴 |
transcript.whisperx[19].start |
2361.511 |
transcript.whisperx[19].end |
2390.009 |
transcript.whisperx[19].text |
僑商處處長游凱權僑生處處長王怡茹密室市主任邱惠燕人事市主任楊志傑主計市主任林秀燕資訊市主任白忠光政風市主任楊尊仁 |
transcript.whisperx[20].start |
2391.906 |
transcript.whisperx[20].end |
2414.441 |
transcript.whisperx[20].text |
法規會專委徐佑林僑務通訊社社長吳小竹財政法人海外信保基金董事長林保錫林董事長我們好像是不是這三屆都是你啊對好這個行政院主計總書專委邱碧珠 |
transcript.whisperx[21].start |
2418.06 |
transcript.whisperx[21].end |
2431.918 |
transcript.whisperx[21].text |
剛才有貞德在場委員的同意陳永康委員也剛進場我再講一次我們今天上午要進行的業務報告及詢答詢答結束後我們要處理僑委會明年度的預算 |
transcript.whisperx[22].start |
2433.019 |
transcript.whisperx[22].end |
2458.196 |
transcript.whisperx[22].text |
今天因為我們整個院區很遺憾的有一些事情發生所以每一個委員今天出席的時間都有所不同我們為了讓效率跟我們的議事能夠更順暢徵求在場委員同意我們先宣讀公開預算的提案部分請議事人宣讀不知道在場委員有沒有意見 |
transcript.whisperx[23].start |
2459.668 |
transcript.whisperx[23].end |
2464.772 |
transcript.whisperx[23].text |
114年度中央政府總預算案僑務委員會主管收支公開部分依税入部分第二款 |
transcript.whisperx[24].start |
2484.878 |
transcript.whisperx[24].end |
2488.259 |
transcript.whisperx[24].text |
法款及賠償收入第210項僑務委員會無劣數第3款規費收入第172項僑務委員會24000元第4款財產收入第220項僑務委員會8583000元第7款其他收入第219項僑務委員會625000元 |
transcript.whisperx[25].start |
2508.454 |
transcript.whisperx[25].end |
2512.917 |
transcript.whisperx[25].text |
第21款僑務委員會主管不含機密部分第一項僑務委員會19亿7345萬5千元第一幕一般行政4亿4649萬5千元第二幕 |
transcript.whisperx[26].start |
2522.213 |
transcript.whisperx[26].end |
2525.836 |
transcript.whisperx[26].text |
綜合規劃業務47856000元第三目僑民僑團聯繫接待及僑教中心服務231151000元第四目僑校發展及文化社教輔助34219000元第五目僑商經濟業務59505000元第六目僑生回國升學及僑親培訓研習 |
transcript.whisperx[27].start |
2551.094 |
transcript.whisperx[27].end |
2573.67 |
transcript.whisperx[27].text |
八億五千零一十九萬六千元第七目僑務新聞資訊及僑媒服務兩千六百三十八萬三千元第八目第一預備金七百六十五萬元現在宣讀委員資提案第一案第21款第一項僑務委員會凍結三百萬元委員林毅君等人提案第二案第21款第一項僑務委員會凍結一百萬元 |
transcript.whisperx[28].start |
2579.059 |
transcript.whisperx[28].end |
2588.753 |
transcript.whisperx[28].text |
委員林楚英等人提案第三至第四案為第一目基本行政工作維持之預算提案第三案水電費減列10萬元 |
transcript.whisperx[29].start |
2591.175 |
transcript.whisperx[29].end |
2614.629 |
transcript.whisperx[29].text |
委員徐巧欣等提案第4案運輸設備費減列210萬元委員馬文君等提案第5案至第11案系第一幕資訊管理與維護之提案第5案凍結100萬元委員林楚英等提案第6案凍結20萬元委員王定宇等提案第7案凍結200萬元委員馬文君等提案第8案 |
transcript.whisperx[30].start |
2616.325 |
transcript.whisperx[30].end |
2639.249 |
transcript.whisperx[30].text |
設備及投資凍結一百萬元委員馬文君等提案。第九案資訊軟硬體設備費凍結五十萬元委員陳冠廷等提案。第十案資訊軟硬體設備費凍結五十萬元委員林益君等提案。第十一案資訊軟硬體設備費凍結百分之十委員黃仁等提案。第十二案至第十三案系第二幕加強僑務委員聯繫及辦理僑務委員會議之提案。 |
transcript.whisperx[31].start |
2643.717 |
transcript.whisperx[31].end |
2662.771 |
transcript.whisperx[31].text |
第12案凍結150萬元委員馬文君等提案第13案一般事務費凍結50%委員薛巧欣等提案第14至第17案系第二幕國內慶典活動接待服務之提案第14案凍結20萬元委員王定宇等提案第15案凍結 |
transcript.whisperx[32].start |
2664.272 |
transcript.whisperx[32].end |
2681.643 |
transcript.whisperx[32].text |
一百二十萬元委員馬文君等提案。第16案資訊服務費凍結百分之二十委員徐巧欣等提案。第17案一般事務費凍結百分之五十委員徐巧欣等提案。第18至第24案系第二幕研究發展及專案業務之提案。 |
transcript.whisperx[33].start |
2683.134 |
transcript.whisperx[33].end |
2685.977 |
transcript.whisperx[33].text |
第18案凍結10萬元委員盧美林等提案。第19案凍結100萬元委員馬文君等提案。第20案凍結100萬元委員陳冠廷等提案。第21案凍結50萬元委員黃仁等提案。第22案業務費凍結10萬元委員 |
transcript.whisperx[34].start |
2701.19 |
transcript.whisperx[34].end |
2720.401 |
transcript.whisperx[34].text |
林柱英等提案第23案業務費凍結100萬元委員馬文君等提案第24案一般事務費凍結50%委員徐巧欣等提案第25至第30案系第一幕加強僑社聯繫及輔助舉辦多元活動之預算提案 |
transcript.whisperx[35].start |
2721.181 |
transcript.whisperx[35].end |
2729.204 |
transcript.whisperx[35].text |
第25案一般事務費檢列400萬元委員馬文君等提案第26案凍結300萬元委員林益君等提案第27案凍結100萬元委員馬文君等提案第28案凍結10萬元委員林竹英等提案第29案業務費凍結100萬元委員沈伯陽等提案第30案一般事務費 |
transcript.whisperx[36].start |
2742.781 |
transcript.whisperx[36].end |
2750.488 |
transcript.whisperx[36].text |
動輒10%委員學巧欣等提案。第31至第34案例第3目舉辦僑設工作研討會及邀訪與培訓活動落實僑務工作之提案。 |
transcript.whisperx[37].start |
2755.785 |
transcript.whisperx[37].end |
2784.987 |
transcript.whisperx[37].text |
第三十一案凍結一百萬元為馬文君等提案第三十二案凍結五十萬元為馬文君等提案第三十三案一般數費減列一百二十二萬七千元為馬文君等提案第三十四案一般數費減列四十萬元凍結百分之三十委員徐巧興等提案第三十五至第三十七案系第三目海外華僑文教中心服務業務資提案第三十五案凍結一百萬元委員陳冠廷等提案第三十六案凍結八百萬元 |
transcript.whisperx[38].start |
2785.908 |
transcript.whisperx[38].end |
2798.675 |
transcript.whisperx[38].text |
委員林毅君等提案第37案凍結500萬元委員馬文君等提案第38至第44案系第三目僑界青年培育交流計劃業務費之提案第38案 |
transcript.whisperx[39].start |
2802.47 |
transcript.whisperx[39].end |
2808.095 |
transcript.whisperx[39].text |
動解五百萬元為馬文君等提案。第39案約用人員籌金檢列一百六十八萬元為馬文君等提案。第40案一般事務費檢列兩百萬元動解兩百萬元為馬文君等提案。第41案一般事務費檢列兩百七十五萬元為馬文君等提案。第42案一般事務費檢列一百五十萬元為黃人等提案。 |
transcript.whisperx[40].start |
2826.072 |
transcript.whisperx[40].end |
2849.506 |
transcript.whisperx[40].text |
第43案一般事務費檢列120萬元凍結30%委員徐巧欣等提案第44案對外資捐助檢列10萬元委員黃仁等提案第45案第4目編印及供應僑效華語教材一般事務費凍結100萬元委員陳冠廷等提案第46至第52案系第4目 |
transcript.whisperx[41].start |
2850.587 |
transcript.whisperx[41].end |
2871.876 |
transcript.whisperx[41].text |
培訓僑效施支及充實教學支援支提案第46案凍結50萬元委員馬文君等人提案第47案凍結200萬元委員陳冠廷等人提案第48案一般事務費減劣10萬元凍結30%委員徐巧欣等人提案第49案一般事務費凍結200萬元委員馬文君等人提案第50案國外旅費凍結100萬元委員馬文君等人提案第51案 |
transcript.whisperx[42].start |
2879.432 |
transcript.whisperx[42].end |
2905.46 |
transcript.whisperx[42].text |
國外旅費凍結50萬元委員林益君等人提案。第52案 獎補助費凍結150萬元委員馬文君等人提案。第53字第57案 系第4目 辦理文化社教活動及巡迴教學之提案。第53案 凍結100萬元委員馬文君等人提案。第54案 凍結50萬元委員盧美林等人提案。第55案 凍結50萬元委員林益君等人提案。 |
transcript.whisperx[43].start |
2905.919 |
transcript.whisperx[43].end |
2916.901 |
transcript.whisperx[43].text |
第56案(凍結50萬元委員毛文君等人提案。第57案(一般數費簡列10萬元凍結30%委員徐巧欣等人提案。第56至第68案(系第4目海外華語文學學習深耕計劃之提案。第58案(簡列100萬元凍結20%委員徐巧欣等人提案。第59案(簡列 |
transcript.whisperx[44].start |
2930.731 |
transcript.whisperx[44].end |
2954.954 |
transcript.whisperx[44].text |
一百萬凍結兩百萬元委員馬文君等人提案第六十案凍結五百萬元委員黃仁等人提案第六十一案凍結三百萬元委員林益君等人提案第六十二案凍結兩百萬元委員陳永康等人提案第六十三案凍結一百萬元委員盧美林等人提案第六十四案凍結五十萬元委員王定宇等人提案第六十五案凍結一百萬元 |
transcript.whisperx[45].start |
2955.919 |
transcript.whisperx[45].end |
2965.668 |
transcript.whisperx[45].text |
委員馬文君等提案第66案一般事務費檢列753,000元凍結30%委員徐巧欣等提案第67案獎補助費檢列200萬元凍結200萬元委員馬文君等提案第68案對外資捐助凍結200萬元委員陳冠廷等提案第69至71案為第4目擴大培育及流用喬生資提案 |
transcript.whisperx[46].start |
2981.394 |
transcript.whisperx[46].end |
2988.988 |
transcript.whisperx[46].text |
第69案(凍結200萬元委員林毅君等提案(第70案(凍結60萬元委員盧美玲等提案(第71案(業務費凍結200萬元委員馬文君等提案( |
transcript.whisperx[47].start |
2994.588 |
transcript.whisperx[47].end |
3018.357 |
transcript.whisperx[47].text |
第72至74案系第五目聯繫海外僑台商組織並協助推展業務之提案第72案凍結兩百萬元委員陳冠廷等提案第73案業務費凍結一百萬元委員馬文君等提案第74案對國內團體資捐助凍結百分之三十委員徐巧興等提案 |
transcript.whisperx[48].start |
3019.827 |
transcript.whisperx[48].end |
3033.445 |
transcript.whisperx[48].text |
第75至78案第5目培訓僑台商經貿人才協助僑台商企業發展之提案第75案檢列100萬元凍結100萬元委員馬文君等提案第76案業務費檢列202萬9千元 |
transcript.whisperx[49].start |
3037.557 |
transcript.whisperx[49].end |
3051.084 |
transcript.whisperx[49].text |
委員馬文君等提案第77案一般事務費檢列40萬元凍結30%委員徐小新等提案第78案一般事務費凍結100萬元委員馬文君等提案第79至85案為第5目海外華人經濟資訊匯收並促進海內外商機交流之提案第79案凍結100萬元委員黃仁等提案 |
transcript.whisperx[50].start |
3065.049 |
transcript.whisperx[50].end |
3080.892 |
transcript.whisperx[50].text |
第80案凍結50萬元委員林毅君等提案第81案凍結20萬元委員黃仁等提案第82案業務費凍結120萬元委員馬文君等提案第83案一般事務費減列100萬元委員馬文君等提案第84案一般事務費減列30萬元凍結30%委員徐巧興等提案第85案獎補助費凍結100萬元委員馬文君等提案第86至88案為第5目 |
transcript.whisperx[51].start |
3095.433 |
transcript.whisperx[51].end |
3105.979 |
transcript.whisperx[51].text |
僑借青年培育交流計劃業務費之提案第86案凍結100萬元委員馬文君等提案第87案業務費凍結100萬元委員馬文君等提案第88案一般事務費凍結65%委員許曉新等提案第89至101案為第6目擴大培育及流用僑生之提案第89案檢列500萬元凍結500萬元 |
transcript.whisperx[52].start |
3123.703 |
transcript.whisperx[52].end |
3141.076 |
transcript.whisperx[52].text |
委員林竺英等提案第90案凍結500萬元委員林毅君等提案第91案凍結200萬元委員陳永康等提案第92案凍結200萬元委員黃仁等提案第93案凍結100萬元委員盧美林等提案第94案凍結1000萬元委員黃仁等提案第95案凍結1000萬元委員黃仁等提案第96案凍結200萬元委員陳冠廷等提案 |
transcript.whisperx[53].start |
3154.755 |
transcript.whisperx[53].end |
3159.297 |
transcript.whisperx[53].text |
第97案凍結550萬元委員馬文君等提案第98案業務費減列500萬元凍結500萬元委員馬文君等提案第99案業務費凍結50萬元 |
transcript.whisperx[54].start |
3167.745 |
transcript.whisperx[54].end |
3196.017 |
transcript.whisperx[54].text |
委員沈博洋等提案。第一百案一般事務費減列一百萬元,凍結百分之六十。委員徐巧欣等提案。第一百零一案獎補助費減列一千萬元,凍結一千五百萬元。委員馬文君等提案。第一百零二至一百零三案為第六目。輔導海外求生來台升學及畢業留台之提案。第一百零二案業務費凍結一百五十萬元。委員馬文君等提案。 |
transcript.whisperx[55].start |
3196.516 |
transcript.whisperx[55].end |
3202.499 |
transcript.whisperx[55].text |
第103案一般事務費檢列10萬元凍結30%委員徐巧欣等提案。第104案一般事務費檢列30萬元凍結30%委員徐巧欣等提案。第105至113案為第7目辦理僑務新聞資訊及傳媒服務之提案。第105案檢列100萬元委員馬文君等提案。第106案凍結100萬元 |
transcript.whisperx[56].start |
3225.25 |
transcript.whisperx[56].end |
3232.839 |
transcript.whisperx[56].text |
委員陳冠廷等提案第107案凍結50萬元委員王定宇等提案第108案業務費凍結100萬元委員陳永康等提案第109案業務費凍結50萬元委員沈伯陽等提案第110案約用人員籌金減列80萬元 |
transcript.whisperx[57].start |
3245.851 |
transcript.whisperx[57].end |
3266.215 |
transcript.whisperx[57].text |
委員黃仁等人提案第111案一般事務費檢列兩百萬元委員馬文君等人提案第112案一般事務費檢列兩百萬元凍結百分之三十委員徐巧欣等人提案第113案獎補助費凍結五十萬元委員馬文君等人提案第114案至第120案為主決議現在宣讀主決議之內容第114案 |
transcript.whisperx[58].start |
3274.802 |
transcript.whisperx[58].end |
3295.363 |
transcript.whisperx[58].text |
為促進我國各項發展並布局全球行銷建請僑務委員會因強化與僑界之聯繫協助輔導海外僑教體系提升治安防護能力提供受害僑民法律及陪同協助以加強對海外僑民的保護和支持提案人委員沈伯陽等人 |
transcript.whisperx[59].start |
3297.642 |
transcript.whisperx[59].end |
3324.854 |
transcript.whisperx[59].text |
第115案(僑務委員會至民國一百年起推行海外青年文化大使計畫目前覆蓋美國、加拿大、澳洲、泰國及菲律賓卻未涵蓋歐洲或其他地區建議僑務委員會嚴厲擴展計畫地理範圍增加歐洲及其他地區臺僑青年參與機會以深化臺灣的國際影響力與連結提案人委員林楚英等人 |
transcript.whisperx[60].start |
3325.919 |
transcript.whisperx[60].end |
3348.957 |
transcript.whisperx[60].text |
第116案為實現匯聚海外僑力強化僑教網絡及輔助僑台商全球布局發展之目標建議僑務委員會與經濟部等相關機關合作盤點計劃赴海外設廠資企業及其目標地點提案人委員林竹英等人第117案僑務委員會因說明現行及與海外打工 |
transcript.whisperx[61].start |
3355.632 |
transcript.whisperx[61].end |
3380.174 |
transcript.whisperx[61].text |
打工度假7年之協助措施以及如何增進僑民團體赴海外赴外7年包含工作生活在內之聯繫互助原件請僑務委員會於兩個月內向立法院為交及國防委員會提出書面報告提案人委員林柱英等人。第118案僑務委員會為加強於海外第二三代 |
transcript.whisperx[62].start |
3381.295 |
transcript.whisperx[62].end |
3396.554 |
transcript.whisperx[62].text |
僑民青年之年節至一百年起辦理海外青年文化大使培訓。(原建議僑務委員會研議擴大僑外大使培訓洽詢及申請服務以落實與僑親之年節提案人委員黃仁等人 |
transcript.whisperx[63].start |
3397.659 |
transcript.whisperx[63].end |
3417.59 |
transcript.whisperx[63].text |
第119案為充實海外僑效施支..內政部與僑委會積極推動替代役青年赴海外服務..內政部及僑委會致103年度其聯派替代役男志..施予所臺北僑效服務勤..對華語教育非常有助益..緣建請僑委會協同內政部.. |
transcript.whisperx[64].start |
3420.652 |
transcript.whisperx[64].end |
3429.659 |
transcript.whisperx[64].text |
一、替代役實施計劃增加赴臺北僑校服務教育替代役攬支援額提案人委員黃仁等人第120案 |
transcript.whisperx[65].start |
3432.833 |
transcript.whisperx[65].end |
3450.988 |
transcript.whisperx[65].text |
目前,臺北施支缺乏,僑委會雖不斷鼓勵國人前往臺北服務外,卻因為薪資及津貼不高,難有誘因。原件請僑務委員會補助當地培訓施支每人每月生活津貼2000泰銖,提案人委員黃仁等人宣讀完畢。 |
transcript.whisperx[66].start |
3524.822 |
transcript.whisperx[66].end |
3545.421 |
transcript.whisperx[66].text |
好,謝謝大家,我們恢復開會本日會議審查114年度中央政府總預算案關於僑務委員會主管收支以及附屬單位預算的兩項信託基金那報告區分為公開跟機密兩個部分那我們循網曆先公開,後秘密 |
transcript.whisperx[67].start |
3546.061 |
transcript.whisperx[67].end |
3572.547 |
transcript.whisperx[67].text |
那報告後接續詢答那詢答為了清場不用清兩次所以我們詢答會先秘密後公開那時間會並記今天因為還要審查總預算所以本會委員發言時間4加2分鐘非本會委員4分鐘10點半這個發言登記截止如果有臨時提案請在10點半以前提出11點左右本席會視詢答狀況來進行處理那 |
transcript.whisperx[68].start |
3576.75 |
transcript.whisperx[68].end |
3586.75 |
transcript.whisperx[68].text |
這個有關提案部分本次會議只處理公務預算部分我們已經剛才公開的部分已經宣讀完畢待會在秘密會議 |
transcript.whisperx[69].start |
3588.174 |
transcript.whisperx[69].end |
3609.213 |
transcript.whisperx[69].text |
後我們在審查預算的時候審查機密預算的時候再來宣讀因為他提案量不大那秘密會議之後我們在公開部分的詢答結束後再來處理相關的提案好我們現在請徐家青委員長上台就公開的部分包含公務預算和信託基金分別進行報告來 |
transcript.whisperx[70].start |
3619.088 |
transcript.whisperx[70].end |
3641.264 |
transcript.whisperx[70].text |
王釗緯主席各位委員各位女士先生嘉卿今天很榮幸奉邀列席大院外交國防委員會報告114年度本會主管預算案有關當前僑務施政情形業於10月30日向貴委員會提出報告並呈各位委員多所指教致為感謝 |
transcript.whisperx[71].start |
3642.525 |
transcript.whisperx[71].end |
3657.914 |
transcript.whisperx[71].text |
僑務工作乃是擴展國力照顧海外國人的一個工作聚焦於支持臺灣力量的凝聚爭取但受限於政府預算有限本會積極提出前瞻性的中長程級計畫爭取預算並擴大僑務的服務量能本會主管預算包括公開及機密兩部分機密預算另作報告現僅就114年公開預算之施政計畫 |
transcript.whisperx[72].start |
3670.061 |
transcript.whisperx[72].end |
3694.487 |
transcript.whisperx[72].text |
目標及預算配合施政計劃之編列情形向各位委員提出報告進行指正關於本會依據行政院114年度施政方針配合中長中程施政計劃及合定預算合度並針對本會未來發展需需要編定114年度施政計劃目標分數如下 |
transcript.whisperx[73].start |
3695.327 |
transcript.whisperx[73].end |
3724.324 |
transcript.whisperx[73].text |
一、擴大以僑務大數據為核心推動僑務創新服務一、為了佈建服務基礎提升僑務資料之決策性的輔助僑包服務的提升以及民生應用的價值第二、為精進僑務資料品質促進多元跨域資料應用提升政府的服務量能 |
transcript.whisperx[74].start |
3726.974 |
transcript.whisperx[74].end |
3748.279 |
transcript.whisperx[74].text |
第二大類會聚海外僑力擴增友台力量永續傳承與新盛繁榮的僑社為了強化海外青年文化大使協會之培育及擴大其動能連結高中畢業前期的學員包含senior FASCA以增進對臺灣的凝聚力 |
transcript.whisperx[75].start |
3751.428 |
transcript.whisperx[75].end |
3763.202 |
transcript.whisperx[75].text |
第二(落實僑團僑民的聯繫服務來回應僑界的需求(後值海外支持政府的力量(辦理各項培訓活動(靈邀重要僑團返臺參訪(並鼓勵僑界以組織力量辦理在海外的多項( |
transcript.whisperx[76].start |
3769.389 |
transcript.whisperx[76].end |
3793.724 |
transcript.whisperx[76].text |
臺灣多元文化節慶及支持臺灣參與國際組織的活動增加臺灣與各主流社會的能見度。第三為提升海外文教中心場地的設施與服務品質結合資源打造臺灣的文化櫥窗。其次第三大類鞏固喬教的網絡拓展全球喬教及華語市場首先為充實 |
transcript.whisperx[77].start |
3796.102 |
transcript.whisperx[77].end |
3804.598 |
transcript.whisperx[77].text |
僑教師之專業教學職能發展多元華語文教學的模式擴大正體制的華語市場 |
transcript.whisperx[78].start |
3806.735 |
transcript.whisperx[78].end |
3825.246 |
transcript.whisperx[78].text |
第二、為傳揚據臺灣意向的文化活動來擴增海外僑民及國際社會對臺灣多元文化的認識在培育地方文化種子的新傳上本會持續的加強努力第四大類協輔僑台商的組織及企業發展連結臺灣布局全球 |
transcript.whisperx[79].start |
3832.542 |
transcript.whisperx[79].end |
3861.016 |
transcript.whisperx[79].text |
為輔助商會世代傳承提升僑台商永續競爭力紮根廣布臺灣的全球力量第二整合僑台商及國內產官學員的資源及人脈協服僑台商因應全球淨零碳排的趨勢創新驅動企業智慧轉型及精進的升級方案來準備第五大類為培育 |
transcript.whisperx[80].start |
3862.54 |
transcript.whisperx[80].end |
3888.832 |
transcript.whisperx[80].text |
及擴大海外青年留用僑生人才,厚植國家力量。 (擴大吸引海外僑生來臺升學,培育及留用優秀僑生計劃,以推展國家的產業發展。 (鼓勵優秀的畢業生留臺發展深耕,益助國內企業需求之多元人才,達到染財、育財、留財的目標。 |
transcript.whisperx[81].start |
3891.033 |
transcript.whisperx[81].end |
3916.623 |
transcript.whisperx[81].text |
最後一大類運用僑務新聞的服務來深化與僑包的連結首先是以僑務電子報為核心以及五大社群平臺為輔助快速且正確地將政府各項重大政策及措施臺灣的政經現況及發展等信息傳遞到世界各角落並協助防治及打擊錯假訊息的危害 |
transcript.whisperx[82].start |
3917.645 |
transcript.whisperx[82].end |
3928.956 |
transcript.whisperx[82].text |
二、串聯新世代的聲量深化海內外華文媒體交流合作後執由我的華文媒體夥伴關係並促進其正面角度報導臺灣優勢接下來請就 |
transcript.whisperx[83].start |
3932.321 |
transcript.whisperx[83].end |
3958.232 |
transcript.whisperx[83].text |
一百一十四年的預算編列情形建於政府的預算資源有限本會經過檢討之後按下面的桌名來跟各位委員進行報告第一有關於稅錄部分一百一十四年度稅錄預算編列九百二十三萬兩千餘元同上年度的預算數也就是今年一百一十三年的預算數第二大部分有關於稅出 |
transcript.whisperx[84].start |
3960.157 |
transcript.whisperx[84].end |
3971.863 |
transcript.whisperx[84].text |
114年稅出預算數編列20億2900萬9千元含公開及機密預算在內較上年度的法定預算增加2億5754萬1千元 |
transcript.whisperx[85].start |
3976.141 |
transcript.whisperx[85].end |
3995.624 |
transcript.whisperx[85].text |
接下來緊急工作計劃項目報告如下一、在一般行政類編列4億4649萬5千元較上年度增加2063萬1千元增加因素、氣因、員工、薪奉、進級差額以及深算調整待遇支經費 |
transcript.whisperx[86].start |
3997.213 |
transcript.whisperx[86].end |
4021.463 |
transcript.whisperx[86].text |
第二(有關綜合規劃業務編列4785萬6千元較上年度微幅增加92萬2千元主要系因辦理臺灣青年海外搭橋計劃今年因為受到各界廣泛的重視以及高度的投入明年預計擴大辦理略增預算第三( |
transcript.whisperx[87].start |
4022.763 |
transcript.whisperx[87].end |
4045.242 |
transcript.whisperx[87].text |
僑民僑團聯繫接待及僑教中心的服務編列兩億三千一百一十五萬一千元較上年度增加兩千零六十一萬四千元增加主因乃為培育僑界青年的交流計劃近年來我們在海外的二代三代的青年參與各項活動的比例有顯著增加 |
transcript.whisperx[88].start |
4047.145 |
transcript.whisperx[88].end |
4068.353 |
transcript.whisperx[88].text |
第四、僑效發展暨文化社教輔助編列304219000元較上年度增加4156000元主要系擴大培育及流用僑生在擴大培育及流用僑生方面我們在近年來確實增加非常多的僑生到臺灣讀書並且進一步的發展深造 |
transcript.whisperx[89].start |
4073.815 |
transcript.whisperx[89].end |
4087.59 |
transcript.whisperx[89].text |
其次我們在海外的臺灣華語文學習中心的招生也逐漸擴大有越來越強的成績這都是增加我們在喬教預算的主因第五大類喬商經濟業務編列5950萬 |
transcript.whisperx[90].start |
4092.495 |
transcript.whisperx[90].end |
4117.036 |
transcript.whisperx[90].text |
五千元較上年度減少了一百五十三萬九千元主要是因為檢列了專案紓困專案的信用貸款保證利息及手續費由於前兩年都還在疫情的末期有相關的這一個紓困那今年之後我們就把相關的這一些紓困一律恢復正常第六大類僑生回國升學暨僑親 |
transcript.whisperx[91].start |
4119.958 |
transcript.whisperx[91].end |
4136.326 |
transcript.whisperx[91].text |
培訓延期總共編列8億5千零19萬6千元較上年度增加1億7千254萬5千元增加的幅度算是最大主要是因近年來到臺灣 |
transcript.whisperx[92].start |
4137.887 |
transcript.whisperx[92].end |
4154.739 |
transcript.whisperx[92].text |
此外,培育及流用的僑生人數都以快速的20%、30%、50%的速度在增長,這是我們的幾項專案的專班所呈現出來的結果,因此在這部分增加的預算數稍微增加。 |
transcript.whisperx[93].start |
4155.76 |
transcript.whisperx[93].end |
4159.646 |
transcript.whisperx[93].text |
第7大類以僑務新聞資訊及傳媒服務編列2638萬3千元較商年度增加388萬7千元主要增加系會 |
transcript.whisperx[94].start |
4172.054 |
transcript.whisperx[94].end |
4184.607 |
transcript.whisperx[94].text |
違運社群媒體等經費我們有五大社群媒體的官網那這個在人事成本高漲的狀況之下我們也必須配合調整預算第八第一預備金編列765萬與上年度同 |
transcript.whisperx[95].start |
4188.629 |
transcript.whisperx[95].end |
4194.254 |
transcript.whisperx[95].text |
第9僑務支出的機密預算編列5555萬4千元持續在下降中本會114年度預算案經權力爭取並服役忠誠計劃之役助雖較上年度增加兩億五千七百餘萬元為僅勉強維持上年度僑務支出占總 |
transcript.whisperx[96].start |
4214.372 |
transcript.whisperx[96].end |
4238.365 |
transcript.whisperx[96].text |
預算的比例0.06%顯示僑務預算仍然非常有限且近期因為美金匯率波動本會因為涉外單位故我們在海外僑教中心維運及協府海外僑團僑校等各項活動均需以外幣支付的情況下目前的匯率及海外通膨等嚴重的問題 |
transcript.whisperx[97].start |
4240.346 |
transcript.whisperx[97].end |
4260.53 |
transcript.whisperx[97].text |
再再的考驗了我們僑委會在如此艱困的情況之下希望大院各位委員能夠大力支持加心由衷的希望在僑務業務上能夠得到各位委員的編冊與指導使僑務工作能夠順利推動造福海外的廣大僑胞以上針對114年度僑務委員會的年度預算 |
transcript.whisperx[98].start |
4266.058 |
transcript.whisperx[98].end |
4293.26 |
transcript.whisperx[98].text |
接下來請就我們的信託基金以及各項基金跟各位委員進行報告本會共有兩項基金首先第一項基金是莊守耕公益基金莊守耕公益基金自今年11月底執行結果收入只有8758元而蔣學新的實際支出是3萬元收支相抵 |
transcript.whisperx[99].start |
4294.414 |
transcript.whisperx[99].end |
4318.624 |
transcript.whisperx[99].text |
短處清台幣兩萬一千兩百四十二元由於存款利率偏低收入減少為鼓勵優秀的僑生錄力向學因此在這部分的這個基金的使用情況並不是也非常的多那第二大項是有關於受理捐贈僑生獎助學金以及艱困地區的僑民僑校師資的輔助金 |
transcript.whisperx[100].start |
4322.369 |
transcript.whisperx[100].end |
4327.801 |
transcript.whisperx[100].text |
截至今年11月30日的執行結果總收入有新台幣647萬 |
transcript.whisperx[101].start |
4330.777 |
transcript.whisperx[101].end |
4334.28 |
transcript.whisperx[101].text |
二、審查114年度中央政府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 |
transcript.whisperx[102].start |
4354.329 |
transcript.whisperx[102].end |
4378.603 |
transcript.whisperx[102].text |
一百零九元短處原因系僑生回國人數增加申請人數也增加故我們動之前年度累積剩餘數來發放獎學金接下來請就114年兩項基金的預算編列情形報告如下第一針對莊守耕公益基金系辦理僑生獎學金合發以及貧困歸僑的補助 |
transcript.whisperx[103].start |
4381.573 |
transcript.whisperx[103].end |
4408.246 |
transcript.whisperx[103].text |
此部分在114年的收入編列4萬1千元預計支出4萬元收支相抵後剩餘新台幣1千元第二項受理捐贈僑生獎助金及艱困地區僑民學校師資輔助金部分僑生獎助金辦理合法事宜以及 |
transcript.whisperx[104].start |
4410.129 |
transcript.whisperx[104].end |
4417.7 |
transcript.whisperx[104].text |
堅困地區僑民僑校施支輔助金的合法事宜本年度編列共有717萬3千元 |
transcript.whisperx[105].start |
4421.336 |
transcript.whisperx[105].end |
4427.78 |
transcript.whisperx[105].text |
預計支出709萬7千元收支相抵後預計剩餘新臺幣7萬6千元為實際發放金額能夠符合預算書金額以減少短處本會114年發放的額度將依113年捐贈金妥為規劃以上兩項基金 |
transcript.whisperx[106].start |
4444.81 |
transcript.whisperx[106].end |
4461.4 |
transcript.whisperx[106].text |
需由海外各地僑包及國內善心人士所捐贈本會自當謹慎管理捐贈者是善款必使基金能夠發揮最大的效益及價值以上報告敬請各位委員指教支持感謝大家 |
transcript.whisperx[107].start |
4464.738 |
transcript.whisperx[107].end |
4489.732 |
transcript.whisperx[107].text |
好,謝謝徐才英委員今天院區的狀況比較特殊啦我本期真的不希望我念過去就讓委員可以發言的機會把它剝奪掉民主還是要討論民主還是要呈現不同的意見所以是不是讓各黨團助理詢問一下那個要來詢答的委員我給五分鐘的時間能夠來詢答我也希望在場的委員能夠體諒就是說 |
transcript.whisperx[108].start |
4491.954 |
transcript.whisperx[108].end |
4498.267 |
transcript.whisperx[108].text |
僑務委員會雖然不是一個大的部會但是還是有很多業務值得去詢問所以我們先休息五分鐘五分鐘後開始詢答 |
transcript.whisperx[109].start |
4885.538 |
transcript.whisperx[109].end |
4913.739 |
transcript.whisperx[109].text |
好我們恢復開會那剛才公開報告已經結束我們現在要進行秘密會議那再一次宣達我們秘密會議秘密詢答然後跟秘密預算的提案宣讀以及處理會一併處理會一併處理所以特別請黨團助理如果有黨團的成員有提機密預算的提案的話請提醒要到場提醒到場好我們現在請議事人員清場 |
transcript.whisperx[110].start |
6549.718 |
transcript.whisperx[110].end |
6571.03 |
transcript.whisperx[110].text |
好我們恢復公開會議現在請登記公開質詢的委員開始詢答第一位請林楚英委員上台質詢我們本會委員4加2非本會委員4分鐘謝謝主席主席有請我們委員長來委員長請 |
transcript.whisperx[111].start |
6577.554 |
transcript.whisperx[111].end |
6581.157 |
transcript.whisperx[111].text |
委員早安委員早這個我要詢答的當然就是跟我們的預算有關我們知道過去我們有所謂的僑包卡是實體卡那麼這一次我要問的是i僑卡其實就是虛擬的僑包卡又是算僑包卡的二代我們知道說其實這樣的申請都是為了接下來 |
transcript.whisperx[112].start |
6595.888 |
transcript.whisperx[112].end |
6599.412 |
transcript.whisperx[112].text |
有助於僑委會來針對我們海外僑民來做一個服務但是我們知道過去大概我們僑包卡是發了10萬張2017年換成所謂虛擬卡片之後在網路上申請委員長現在所謂的i僑卡是幾萬張 |
transcript.whisperx[113].start |
6616.249 |
transcript.whisperx[113].end |
6620.971 |
transcript.whisperx[113].text |
跟委員報告我們從2017年發行到2022年5年時間總共發行10萬張那是僑報卡的時代那到2022年的9月底我們正式發行愛僑卡到今年呢剛好只有滿兩年目前已經發行超過8萬多張 |
transcript.whisperx[114].start |
6634.158 |
transcript.whisperx[114].end |
6654.045 |
transcript.whisperx[114].text |
好所以顯然就是距離過去實體卡的10萬張也還有2萬的距離嘛對不對雖然我們從網路上申請照理說用網路申請應該更快更方便但是本席其實在了解這個預算的過程當中我跟許多的二代僑親他們反映了一個問題來看下一張 |
transcript.whisperx[115].start |
6655.706 |
transcript.whisperx[115].end |
6681.104 |
transcript.whisperx[115].text |
就是我們的中文網頁的申請做得非常好而且步驟都非常清楚但是我們知道所謂會是二代僑親他們可能聽跟說很容易讀跟寫可能就沒有這麼好那麼可能他們的英文能力或者是所謂僑居國就會比較好那麼但是我進入了英文網站發現這個i僑卡裡面裡面呢到底要去哪裡申請不知道喔 |
transcript.whisperx[116].start |
6681.824 |
transcript.whisperx[116].end |
6703.144 |
transcript.whisperx[116].text |
但是如果說你跟他講說apply好你按進去之後就這一段話就沒有了也沒有更詳細的解說那到底我要去哪裡找呢找了半天之後發現右上角有一個sign in或slug in就是申請的過程其實語言不同不應該服務就不一樣這是本巡吹襲的地方因為我們這次i喬卡預算編列了多少 |
transcript.whisperx[117].start |
6706.398 |
transcript.whisperx[117].end |
6727.701 |
transcript.whisperx[117].text |
我們是只有違運費一百多萬而已只有違運費一百多萬所以在這一百多萬當中其實就沒有其他的就是現在就是只有網站的申請沒有其他的沒有我們都是做過線上因為我們不希望大家拿實體很麻煩一大堆卡在包包裡面所以現在大家有一支手機隨時都可以用只要一個卡號 |
transcript.whisperx[118].start |
6728.502 |
transcript.whisperx[118].end |
6753.671 |
transcript.whisperx[118].text |
那針對英文版這部分我們確實在檢討中我們也認為剛開始的時候就只有focus在這個中文版做的還算可以但是英文版確實很poor就是很平凡是的那我們都知道二代僑親他們在國外因為我想一代的這些就是我們的所謂第一代僑民他們中文能力一定好但是二代之後甚至於現在都出現三代了那他們在申請上一定會遇到狀況而且就像您剛剛說的來下一張 |
transcript.whisperx[119].start |
6756.252 |
transcript.whisperx[119].end |
6771.927 |
transcript.whisperx[119].text |
就是我們在系統當中是不是愛喬卡變成愛卡喬就像盧委員長您剛說的我們現在尤其是年輕人他一定都是用手機或ipad但是我特別請我們的同仁 |
transcript.whisperx[120].start |
6772.467 |
transcript.whisperx[120].end |
6785.58 |
transcript.whisperx[120].text |
去處理的時候發現喔只有用桌上型電腦才能完成申請來來回回只要透過手機或者是iPad就會被卡住而且花了40分鐘都無法完成 |
transcript.whisperx[121].start |
6788.403 |
transcript.whisperx[121].end |
6796.033 |
transcript.whisperx[121].text |
這個部分會變成不知道到底是網路的問題還是說你們在系統使用上有一定的設定那這個是我們實測過的這個部分也把問題反映給僑委會委員長 |
transcript.whisperx[122].start |
6803.103 |
transcript.whisperx[122].end |
6822.282 |
transcript.whisperx[122].text |
好謝謝委員幫我們做測試我自己的了解是因為我自己是用手機辦的所以我們手機填寫資料到登錄大概5到10分鐘我就完成了然後兩個小時後他就喝卡給我了所以我們基本上在做這個版的開發的時候是包括電腦 |
transcript.whisperx[123].start |
6824.864 |
transcript.whisperx[123].end |
6827.125 |
transcript.whisperx[123].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分 |
transcript.whisperx[124].start |
6847.052 |
transcript.whisperx[124].end |
6869.718 |
transcript.whisperx[124].text |
感謝提醒不過英文的部分我們會大力來加強而且英文的部分我期許你們給我一個時間點要回到上一張我們看到的就是一個QR code完成掃描其實這個內建QR code的網頁製作尤其變成英文版應該不難是不是可以給我一個時間點可以委員是不是我們明年過完農曆年後我們就把這個東西全部補正完畢 |
transcript.whisperx[125].start |
6870.538 |
transcript.whisperx[125].end |
6875.942 |
transcript.whisperx[125].text |
感謝委員的支持跟提醒謝謝謝謝林楚瑩委員我們接下來進行詢答委員是羅美玲委員這個沒有問完的部分我們在預算審查還是可以還可以溝通謝謝主席有請徐家青委員長來委員長請 |
transcript.whisperx[126].start |
6905.536 |
transcript.whisperx[126].end |
6929.423 |
transcript.whisperx[126].text |
羅委員早安委員長早上次呢本席有跟委員長這邊探討過這個三家市這個產學合作這個僑生專班那之前我們討論的是有關於這個僑外生的這個語言的問題然後語言的問題也造成這些僑外生學習的困難甚至呢有些讀不下去放棄學院然後返國的也有這是在資源上來講就是一個很大的一個浪費喔 |
transcript.whisperx[127].start |
6930.043 |
transcript.whisperx[127].end |
6931.204 |
transcript.whisperx[127].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分。 |
transcript.whisperx[128].start |
6946.596 |
transcript.whisperx[128].end |
6970.196 |
transcript.whisperx[128].text |
﹏﹏﹏﹏ |
transcript.whisperx[129].start |
6970.396 |
transcript.whisperx[129].end |
6993.993 |
transcript.whisperx[129].text |
甚至直接就讓他們觀看這個YouTube的這個影片那有孩子呢來這裡上的是這個餐飲的這個課程結果呢給他們看的就是這個影片就是如何是教他們做這個烘焙我想這個教學品質呢是非常糟糕的所以我想了解的是說僑委會這裡呢有沒有主動的跟這些僑外生就是做一個 |
transcript.whisperx[130].start |
6995.774 |
transcript.whisperx[130].end |
7000.559 |
transcript.whisperx[130].text |
學生對於課程的內容和他先前的認知是不一樣的老師的教學OK不OK還有學校的環境的滿意度等等 |
transcript.whisperx[131].start |
7014.574 |
transcript.whisperx[131].end |
7035.668 |
transcript.whisperx[131].text |
大家都覺得說來到台灣之後為什麼會落差這麼大那這孩子來到這裡之後我們僑委會有沒有主動再去跟他們到校去了解他們的這個學習的這個需求呢請問委員長跟盧委員報告以今年來說呢我們到11月底呢我們是有辦了4個場次是技高學校的專案訪試那同時呢我們到12月底呢會辦8場次的建校合作的機構訪試 |
transcript.whisperx[132].start |
7044.293 |
transcript.whisperx[132].end |
7070.107 |
transcript.whisperx[132].text |
除此之外我們今年也有委託一個學校做專案的研究瞭解學生的學習的一些障礙跟困難那事實上就是如同委員所說我們也跟委員有同樣的發現就是不同國家來源的僑生他們的語言程度是有落差的比方說來自馬來西亞的普遍就是華語程度都非常好跟本地生幾乎是一樣 |
transcript.whisperx[133].start |
7071.167 |
transcript.whisperx[133].end |
7072.248 |
transcript.whisperx[133].text |
二、審查114年度中央政府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 |
transcript.whisperx[134].start |
7091.866 |
transcript.whisperx[134].end |
7105.174 |
transcript.whisperx[134].text |
菲律賓越南這些現在獨要的生源國呢增加華語課程的班級數的提供以及密集班用這個寒暑假的時間開設密集班以及平時的線上online繼續練習這是我們希望加強這幾個國家的學生落差第二個是他們來到台灣以後我日前跟十幾所 |
transcript.whisperx[135].start |
7118.341 |
transcript.whisperx[135].end |
7145.55 |
transcript.whisperx[135].text |
大專技高職技高專分別開兩場會議就是希望能夠提供他們協助如果是來自華語程度好的學生我們在語言課程上請他們轉修英文就不要再修華文那如果是華文程度不足的學生呢就是繼續修華文那我們現在也協助因為傳統這些學校的老師呢教華文都是用教本地生的教法傳統教法那根本 |
transcript.whisperx[136].start |
7147.11 |
transcript.whisperx[136].end |
7147.731 |
transcript.whisperx[136].text |
二、審查114年度中央政府總預算案附屬單位預算公益基金.. |
transcript.whisperx[137].start |
7165.647 |
transcript.whisperx[137].end |
7167.509 |
transcript.whisperx[137].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[138].start |
7184.982 |
transcript.whisperx[138].end |
7204.708 |
transcript.whisperx[138].text |
因為有些學習的年限比較長那學生來的時候年紀又比較大他們會遇到他們的這個叫做life circle的問題可能很快就認識女朋友很快認識男朋友然後就進入這個很快的結婚狀態然後又去建立家庭那我們事實上是看到確實有不少學生發生這樣的狀況那他就懷孕就離開退學了 |
transcript.whisperx[139].start |
7209.149 |
transcript.whisperx[139].end |
7226.185 |
transcript.whisperx[139].text |
所以今年我們有跟教育部也進一步爭取說有沒有可能改為休學的模式讓這些孩子這些學生他可能在家庭困難的這個階段一兩到兩年的時間度過以後他可以再回來同校同科系繼續恢復他的這個學籍課程 |
transcript.whisperx[140].start |
7229.348 |
transcript.whisperx[140].end |
7235.372 |
transcript.whisperx[140].text |
教育部今年跟我們溝通的結果他們有同意我們來執行那我相信有這兩項措施之後呢明後年我們學生的學習成效應當會有比較顯著的提升跟改善我們會持續來觀察對跟委員長有提到所謂的這個休學的這制度目前三家市是目前 |
transcript.whisperx[141].start |
7248.601 |
transcript.whisperx[141].end |
7249.962 |
transcript.whisperx[141].text |
三家市僑生專班已實行10年 |
transcript.whisperx[142].start |
7276.363 |
transcript.whisperx[142].end |
7276.904 |
transcript.whisperx[142].text |
接下來進行詢答委員陳冠廷委員你坐在那邊 |
transcript.whisperx[143].start |
7314.473 |
transcript.whisperx[143].end |
7314.693 |
transcript.whisperx[143].text |
陳委員早安 |
transcript.whisperx[144].start |
7325.137 |
transcript.whisperx[144].end |
7340.125 |
transcript.whisperx[144].text |
委員長早委員長這個我們新南向政策裡面針對教育人才的計畫中是希望吸引東南亞籍的外國的留學生然後希望透過專業的訓練機制讓這些學生有機會能夠在台灣工作然後加值嘛 |
transcript.whisperx[145].start |
7340.825 |
transcript.whisperx[145].end |
7357.754 |
transcript.whisperx[145].text |
可是我看僑委會的工作項目上面的三大面向112年的成效產學攜手合作僑生班是目標是5178人那實質是只有4000多人那海外青年技術訓練班目標是3500多人那實質上面是大概1595人那一般僑外學生目標是600人實質上是卻只有295人 |
transcript.whisperx[146].start |
7364.404 |
transcript.whisperx[146].end |
7366.145 |
transcript.whisperx[146].text |
我從預算書中有看到說僑員會針對擴大培育跟這個流用僑生計劃有4年的計劃從1、2年開始總共要編36億2000多萬元 |
transcript.whisperx[147].start |
7375.851 |
transcript.whisperx[147].end |
7393.916 |
transcript.whisperx[147].text |
那13年大概有5億8千萬明年是有匡列大概7億6千多萬來執行這個計劃可是我們從112年的績效評估數字這三大這個面向來流財的人數是總共是5959人那佔原目標的大概64% |
transcript.whisperx[148].start |
7395.396 |
transcript.whisperx[148].end |
7415.888 |
transcript.whisperx[148].text |
如果我們再把國發會的原計劃2030年的目標留財17萬人的比例來講的話那僅達3.5%我想請教委員長我們編列這麼高的預算來去攬財來去留財那是不是沒有什麼效益那有什麼可以改善的計劃原因到底是在哪裡 |
transcript.whisperx[149].start |
7417.082 |
transcript.whisperx[149].end |
7438.147 |
transcript.whisperx[149].text |
跟委員報告這個我們早期一百零三年零四年開始做這個實驗性計劃的時候並沒有把這個制度呢的長期做清楚的規劃那當時確實學生人數也很少我們從一百多個兩百三百這樣慢慢開始那後來發現說這些學生他們 |
transcript.whisperx[150].start |
7443.308 |
transcript.whisperx[150].end |
7468.826 |
transcript.whisperx[150].text |
三年念完四年念完就回去了所以這個未能完成學業的比例是相當的高那所以後來我們開始做這個計畫的擴大版的時候那就發現說要精進改變兩件事情第一個就是說我們要把學生的年齡要設限如果他30歲才來讀他不可能的他一下子家裡就有什麼事情他就走了 |
transcript.whisperx[151].start |
7469.426 |
transcript.whisperx[151].end |
7471.167 |
transcript.whisperx[151].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金.(僑務委員會主管信託基金.. |
transcript.whisperx[152].start |
7496.784 |
transcript.whisperx[152].end |
7500.385 |
transcript.whisperx[152].text |
二、審查114年度中央政府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 |
transcript.whisperx[153].start |
7521.191 |
transcript.whisperx[153].end |
7537.532 |
transcript.whisperx[153].text |
一萬多人我們錄取六千多人那最後來就學也達到了五千七百人所以我們是倍數的這個成長的速度那這幾年我們就是因為發現到說第一個我們這個方案有改變那個誘因 |
transcript.whisperx[154].start |
7538.954 |
transcript.whisperx[154].end |
7540.795 |
transcript.whisperx[154].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[155].start |
7562.97 |
transcript.whisperx[155].end |
7576.426 |
transcript.whisperx[155].text |
剛才提到的是僑生還有這個還有我們新南向的部分另外一個是我們的海外華語文的學習深耕計劃那經費是一億三千萬左右那比一一三年度又多了大概10%那僅僅 |
transcript.whisperx[156].start |
7579.704 |
transcript.whisperx[156].end |
7592.063 |
transcript.whisperx[156].text |
檢視我們1、2年的成果就好了有定22個目標但是只有6項達標所以沒有達到標準值是超過72.73%可能是我們的華語推廣是遇到一個瓶頸我想請教 |
transcript.whisperx[157].start |
7595.18 |
transcript.whisperx[157].end |
7614.228 |
transcript.whisperx[157].text |
華語學習確實是不容易如果特別是完全沒有基礎的但是如果說我們千里迢迢邀請這些人來台灣來培訓有沒有辦法說不管是經費消耗較高的往返機票或者是說可以參加的人數非常有限嘛就是說你看原定目標是10人才來14人嘛 |
transcript.whisperx[158].start |
7614.648 |
transcript.whisperx[158].end |
7635.869 |
transcript.whisperx[158].text |
我想說是不是可以換位思考讓我們的師資走出去直接到橋地辦理這樣子派出去的總指教師可以開枝散葉這樣效果會不會更好等於說與其叫他們40個人過來不如我們派一個人過去他甚至可以教40個人的40個班那這個整個整體效益就會做完整的改變不知道委員長看這樣子的說法怎麼樣 |
transcript.whisperx[159].start |
7636.209 |
transcript.whisperx[159].end |
7640.072 |
transcript.whisperx[159].text |
我非常同意委員的這個說法跟建議事實上我們後來就是調整成說我們是一年去海外巡迴培訓或者辦研討會那一年是在國內來辦理 |
transcript.whisperx[160].start |
7651.699 |
transcript.whisperx[160].end |
7672.016 |
transcript.whisperx[160].text |
所以我們比較兩次的差異跟這個成效那有部分的老師是仍然覺得說有一趟機會可以回到臺灣他們可以連結到更多的資源所以我們去年跟今年分別都有辦理在海外以及在國內的這個師資培育 |
transcript.whisperx[161].start |
7674.378 |
transcript.whisperx[161].end |
7689.793 |
transcript.whisperx[161].text |
好 謝謝委員長我只是提供另外一個換位思考是它的必要性都有但是做資源的有效運用更重要是因為我看執行率整個我們僑委會的執行率可能是有遇到一些挑戰是所以這個部分我們下午的時候我們再來討論好的謝謝委員關心謝謝委員提醒謝謝 |
transcript.whisperx[162].start |
7698.624 |
transcript.whisperx[162].end |
7722.591 |
transcript.whisperx[162].text |
好接下來進行尋答委員是王逸川委員王逸川委員王逸川委員不在接下來進行尋答委員徐巧欣委員這來的真是措手不及啊不曉得前一個人在幹什麼謝謝主席我們有請徐佳欣委員長來委員長請 |
transcript.whisperx[163].start |
7728.908 |
transcript.whisperx[163].end |
7748.232 |
transcript.whisperx[163].text |
徐委員早安早安那在1106年的時候啊這個時任的這個僑委會的委員長是前考試委員吳欣欣那當時有一個風波的爭議事件是呢羅智政委員開記者會說有多位僑務委員呢赴大陸交流的事件 |
transcript.whisperx[164].start |
7748.712 |
transcript.whisperx[164].end |
7764.835 |
transcript.whisperx[164].text |
那那個時候呢我們看報導上面有談到有一些這個僑務委員他們去參加了中國大陸的統戰活動那所以就呈報上級機關建議免除其職務然後呢也免除了這個八名僑務人員的榮譽值的頭銜這是有這樣子一個新聞的那當時僑委會的這個態度非常的明確 |
transcript.whisperx[165].start |
7774.578 |
transcript.whisperx[165].end |
7793.829 |
transcript.whisperx[165].text |
當然後續有引發僑界有抗議投書批評僑委會的做法等等的那我想要問一下現在的僑委會的態度是不是依舊那就是說如果復路參加你們認定的所謂的中國大陸的活動你認為是統戰的話就是說新政上面那就會免除其職務 |
transcript.whisperx[166].start |
7795.753 |
transcript.whisperx[166].end |
7824.793 |
transcript.whisperx[166].text |
事實上我們在聘任榮譽職的這個相關原則裡面都有已經註明非常的清楚因為僑務委員是有大院呢通過的法律依據那由總統來聘任所以僑務委員的慎重性是很高那他們在僑界所代表的這個高度跟重要性也是很高所以這個案子我知道他 |
transcript.whisperx[167].start |
7825.613 |
transcript.whisperx[167].end |
7839.897 |
transcript.whisperx[167].text |
如果當時參加的是一般的所謂大陸的訪行並不會有問題但是他是特別跟官方有這個公開的見面而且也露出媒體所以這件事情才會引發當時的爭議 |
transcript.whisperx[168].start |
7842.979 |
transcript.whisperx[168].end |
7852.151 |
transcript.whisperx[168].text |
我們看一下另外一個案例是底特律的僑務委員盧曼欽女士她其實就出現了違反中華民國僑務委員僑務委員會榮譽職人選這個臨聘要點 |
transcript.whisperx[169].start |
7858.479 |
transcript.whisperx[169].end |
7885.226 |
transcript.whisperx[169].text |
那哪裡呢就是這個我們接到的信件內容是這樣寫的就是這個女士呢她在2020年前是長年把中共的五星旗掛在她公司的大門外說是業務的需要那她本身從大陸進口五金生意在美國經銷客戶都是當地的公司其實並不需要放五星旗在門口增加業務那呢海外台商在大陸投資採購除非是親共者 |
transcript.whisperx[170].start |
7885.686 |
transcript.whisperx[170].end |
7911.304 |
transcript.whisperx[170].text |
否則在大陸以外的公司因為你要看他地點其實並不是在中國大陸去自願性的懸掛五星旗那他是中華民國的僑務顧問雖然他也有放中華民國的國旗但是這種同時放兩邊國旗的方式我個人覺得非常的不可取所以呢我相信真正愛中華民國那把我們台灣的利益放在第一位的人 |
transcript.whisperx[171].start |
7911.824 |
transcript.whisperx[171].end |
7940.627 |
transcript.whisperx[171].text |
不會去把中華民國的國旗跟五星旗同時懸掛那但是呢我們看這個是他投訴的這個公司名義上面你可以看到確實都還放著這個照片就是呢同時放了五星旗跟同時放了這個中華民國的國旗那呢該公司的網站上也有一樣的建築物跟崗位的旗子圖可以證明呢這個google map的建築物跟公司所在地的是一樣的 |
transcript.whisperx[172].start |
7941.428 |
transcript.whisperx[172].end |
7957.011 |
transcript.whisperx[172].text |
那我想要問一下2017年僑委會的立場到大陸去參加活動都不行那請問那僑務委員他所擁有的公司這樣子去掛五星旗是可以的嗎委員我不是說去中國大陸的活動都不行我剛剛特別說是針對跟官方我的問題是說那像他這樣子的行為擔任這個僑務委員你覺得 |
transcript.whisperx[173].start |
7965.933 |
transcript.whisperx[173].end |
7970.775 |
transcript.whisperx[173].text |
他在當時他現在這公司已經早就賣掉了他已經全部賣掉而且他在擔任僑務委員的當時開始他全部都他只剩下掛美國國旗而已那當時他確實基於有業務上客戶來拜訪等等的需求所以他把國旗全部一併都只要有交往的客戶他通通全部一併擺放 |
transcript.whisperx[174].start |
7989.701 |
transcript.whisperx[174].end |
8005.981 |
transcript.whisperx[174].text |
⋯⋯⋯ |
transcript.whisperx[175].start |
8006.081 |
transcript.whisperx[175].end |
8026.32 |
transcript.whisperx[175].text |
那可是他其實那我問你喔那他懸掛這個五星期的時間點在2000年2020以前2020這是最後的一年2020年的7月他是2021年被我們2021年才被我們聘任的那你們怎麼會去聘任一個先前有過懸掛五星期跟我沒有辦法回答這個問題因為那時候 |
transcript.whisperx[176].start |
8028.121 |
transcript.whisperx[176].end |
8038.045 |
transcript.whisperx[176].text |
不是我負責的好那所以你們我就是想要問的問題是說未來你們在聆聘這個我們僑務委員的時候會不會再針對這個部分做更深入的調查因為對我來說我看到這樣子的一個事實然後我經過查證之後我覺得非常的驚訝因為呢其實這是很簡易就可以查證的事情然後我們的僑報也有很多人就是有當下就有反應但是我們的僑委會那個時候我們是置之不理的情況 |
transcript.whisperx[177].start |
8056.912 |
transcript.whisperx[177].end |
8074.734 |
transcript.whisperx[177].text |
那我覺得呢如果未來還有類似的狀況發生就是說我們領選出來的僑務委員他同時去懸掛中華人民共和國的國旗跟中華民國的國旗委員他並沒有同時他在2020年他就已經沒有年底他就取把這些都拿掉了但是2021年才被我們聘任 |
transcript.whisperx[178].start |
8075.575 |
transcript.whisperx[178].end |
8096.2 |
transcript.whisperx[178].text |
但是問題是說他先前的這個行為那你說我因為要參選這個僑務委員我就拿掉了然後我就覺得說那我就我就沒有問題了這個我覺得我也不太能夠同意就是說你對於國家的認同程度到哪裡這個難道都不會被你們在聆聽的時候有所扣分嗎委員我想他們這是商業的需求並不是國家忠誠的問題因為客戶來訪他有要商業的需求 |
transcript.whisperx[179].start |
8099.701 |
transcript.whisperx[179].end |
8100.341 |
transcript.whisperx[179].text |
接下來進行詢答委員沈博洋委員 |
transcript.whisperx[180].start |
8140.934 |
transcript.whisperx[180].end |
8141.856 |
transcript.whisperx[180].text |
謝謝主席有請委員長謝謝來委員長請 |
transcript.whisperx[181].start |
8149.19 |
transcript.whisperx[181].end |
8174.743 |
transcript.whisperx[181].text |
森委員早安早安這個今天這個早上事情的確是比較多一點但我們還是希望能夠大家辛苦了對希望能夠順利的審查預算那我大部分都是根據這個之前有持續過的內容然後有提出幾個這個凍結或者說主決議所以這邊我就大概追問幾個事項就好了因為時間也有限剩下的可能等一下在審查的時候再說啦那這個上次有提過就是那一個他們在海外選舉啦 |
transcript.whisperx[182].start |
8179.844 |
transcript.whisperx[182].end |
8194.588 |
transcript.whisperx[182].text |
韓國華僑有無戶籍國民的護照和中華人民共和國的護照這件事情後來追的狀況是如何?因為我知道他不是官方他是屬於民間他理論上跟僑委會可能也有一定的聯繫不知道這件事情的後續如何?他們後面的這個 |
transcript.whisperx[183].start |
8202.926 |
transcript.whisperx[183].end |
8209.844 |
transcript.whisperx[183].text |
華僑協會的會長事實上早期因為我們在提供怎麼樣 |
transcript.whisperx[184].start |
8212.098 |
transcript.whisperx[184].end |
8234.984 |
transcript.whisperx[184].text |
對他早期確實是用中華民國國籍但他沒有戶籍我們在韓國大部分的僑民都是這種狀態甚至連中華民國國籍都沒有那這個是他後面才去辦中華人民共和國的護照因為為了方便嘛那時候中國其實很愛發護照是沒有錯所以但是我們仍然有非常多的 |
transcript.whisperx[185].start |
8237.464 |
transcript.whisperx[185].end |
8258.91 |
transcript.whisperx[185].text |
韓國僑包仍然在這個過程當中即便沒有拿到中華民國護照他們也不去辦這個中華人民共和國護照那我們近年來是有鼓勵他們說他們可以應該辦韓國的護照因為他們是定居在韓國已經有永久居留權了那早期他們就是多數是希望能夠向台灣中華民國來申辦 |
transcript.whisperx[186].start |
8260.47 |
transcript.whisperx[186].end |
8284.911 |
transcript.whisperx[186].text |
但是我們當時的法規依據有很多的限制所以現在只有少部分疏訊規劃的人士是有拿到這個無戶籍國民的護照這樣的一個情形謝謝委員長因為這個並不是說他一定是滲透或什麼的因為他們早期做生意等等的方便他去辦了中國的護照但現在說真的中國的護照也不好用了所以去鼓勵他們去辦當地國的護照等等之類的或許是一個比較好的解法 |
transcript.whisperx[187].start |
8285.071 |
transcript.whisperx[187].end |
8311.586 |
transcript.whisperx[187].text |
其實委員講的對他們其實是喜歡台灣護照而不是喜歡中國護照因為台灣免簽國有111個那這個中國只有三四十個那我們在這個比較上來說很多僑胞在韓國確實是都很希望拿到中華民國的這個護照這樣他們有助於辦理免簽這樣子的一個方便性 |
transcript.whisperx[188].start |
8313.047 |
transcript.whisperx[188].end |
8319.351 |
transcript.whisperx[188].text |
另外一個就是說這個因為這一次這個我們的總統有去過境那去過境去參訪的時候呢我們看到有這個一堆名單啦這個名單就是說他們直接登報嘛說這個台獨終歸死路一條啦那這個裡面有很多的這個協會有些名稱其實蠻中性的有些中國統一促進會那種到處都是和平統一促進會那個我們都知道是中國的但我發現這裡面有蠻多像我說什麼 |
transcript.whisperx[189].start |
8339.426 |
transcript.whisperx[189].end |
8351.916 |
transcript.whisperx[189].text |
美國馬祖基金會這個也在台獨死如一條所以美國七類協會所以這邊只是要提醒啦我相信僑務委員會可能也有一定的掌握就是顯然我們有很多海外的團體它的名稱聽起來很中性但它做出來的事情完全是違反台灣利益的這些都是過去中共統戰扶持的僑團那同時是可能一個僑團掛三個這個名稱這樣的情況一個機構兩個牌子他們可以到三個牌子就是這樣子對對對所以我就想說特別要注意這樣的事情 |
transcript.whisperx[190].start |
8368.789 |
transcript.whisperx[190].end |
8383.355 |
transcript.whisperx[190].text |
因為畢竟我們在外面很容易跟這些協會可能不一定是活動啊或者交流啊等等之類的但是他們的立場其實是完全反對所以近年來我們都會鼓勵有我的僑團或者是基本上就從中華民國台灣去成立的僑團呢能夠用英文的方式去附註是from Taiwan這樣大家彼此有一個比較清楚的區隔OK |
transcript.whisperx[191].start |
8391.998 |
transcript.whisperx[191].end |
8396.941 |
transcript.whisperx[191].text |
謝謝委員長另外一個就是說因為我們這一次有看到就是說去強化這個僑界的聯繫那時候因為也有提到就是說法律戰、輿論戰現在比較夯就是說對於海外僑胞對這件事情的了解還有他應該要怎麼幫助那因為當時在質詢的時候有說過會有一些計畫但因為這計畫在預算書也直接看不出來所以我待會兒可能會問一下這個詳細的計畫跟這個凍結有關的事項所以這邊就稍微提醒一下好的 謝謝 |
transcript.whisperx[192].start |
8420.854 |
transcript.whisperx[192].end |
8425.66 |
transcript.whisperx[192].text |
再來就是這一個宣傳的路徑就是說因為這邊有提到就是說僑務新聞資訊傳媒服務這個編列增加了這個這個388萬對那這一個增加的他最主要是用在哪裡我覺得因為錢要花在刀口上我覺得這個是必要的 |
transcript.whisperx[193].start |
8439.856 |
transcript.whisperx[193].end |
8449.602 |
transcript.whisperx[193].text |
但是問題要怎麼要畫在刀口上?現在這個部分的計畫是什麼?跟委員報告,事實上我們有一加五的這個官媒那一是我們的僑務電子報那五就是包括IGXFB這個 |
transcript.whisperx[194].start |
8456.767 |
transcript.whisperx[194].end |
8458.488 |
transcript.whisperx[194].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[195].start |
8487.076 |
transcript.whisperx[195].end |
8511.37 |
transcript.whisperx[195].text |
因為近年來我們工資在提升然後我們在這個編輯上我們也發現說僑胞隨時因應很多現在新的政策資訊的需求我們都超額的去壓榨了那些廠商所以我們認為說不應該長期這樣下去應該要合理的來反映這樣的一個情況所以我們適時的增加了一點點費用是在人事上面 |
transcript.whisperx[196].start |
8512.25 |
transcript.whisperx[196].end |
8534.808 |
transcript.whisperx[196].text |
這個身價我覺得不是什麼問題啦我覺得透明化是好事不然的話反對黨很喜歡講說什麼大外宣等等之類的但是對我們來講這不是什麼我們又不是在洗白我們有什麼人權的侵害這跟大外宣一點關係都沒有但是有一定的透明化有助於等一下的討論那最後一個喬森就學的就是說我們喬森在學在台灣就是要怎麼留得比較久這個就等到我們後面在審查的時候我再來詢問 |
transcript.whisperx[197].start |
8535.509 |
transcript.whisperx[197].end |
8547.317 |
transcript.whisperx[197].text |
好的好謝謝謝謝委員長謝謝主席謝謝委員謝謝沈博洋委員委員長請回接下來進行詢答委員蘇清泉委員蘇清泉委員蘇清泉委員不在接下來進行詢答委員是黃仁委員薛主席有請我們委員長 |
transcript.whisperx[198].start |
8570.032 |
transcript.whisperx[198].end |
8570.498 |
transcript.whisperx[198].text |
黃�爺你好你好 |
transcript.whisperx[199].start |
8572.762 |
transcript.whisperx[199].end |
8601.012 |
transcript.whisperx[199].text |
我的問題很簡單就是有關於產協專班三家市的這個產協攜手合作的僑生專班從2014年起僑生這個僑委會聯合教育部推出的計畫那對象是16到22歲擁有東亞東南亞屈果的身份證的僑生只要先在當地 |
transcript.whisperx[200].start |
8601.852 |
transcript.whisperx[200].end |
8621.798 |
transcript.whisperx[200].text |
我國駐外的機構考過考試通過之後出街的華語能力測試就可以申請了來台就讀高職期間注射費由我國全額補助這些畢業後可直接就讀到科技大學 |
transcript.whisperx[201].start |
8626.46 |
transcript.whisperx[201].end |
8643.324 |
transcript.whisperx[201].text |
這個問題我想請教一下我們的委員長有關於採息專班的目的為何能夠在這個地方協用合一接連中華民國本席同意 |
transcript.whisperx[202].start |
8646.603 |
transcript.whisperx[202].end |
8655.313 |
transcript.whisperx[202].text |
產息專班的良善的初衷,尤其是臺灣少子化問題越來越嚴重,喬森而言能夠在臺灣優質的 |
transcript.whisperx[203].start |
8661.42 |
transcript.whisperx[203].end |
8679.674 |
transcript.whisperx[203].text |
既指教育環境中學習對僑務來說只能提高僑親對我國的一個凝聚力但是現在我們慢慢發覺到現在是有點變質而且他們會借用這個產息專班來台灣 |
transcript.whisperx[204].start |
8683.877 |
transcript.whisperx[204].end |
8696.92 |
transcript.whisperx[204].text |
工作甚至不願意讀書那借用這個名稱裡面就在臺灣裡面就業就職那這個這個如何將來以後如何導正來回答一下好不好 |
transcript.whisperx[205].start |
8697.52 |
transcript.whisperx[205].end |
8701.902 |
transcript.whisperx[205].text |
謝謝黃委員的提示確實委員的觀察我也有同樣的一些觀察我們早期因為學生的年齡沒有給他設限所以來台就讀的學生年紀偏大他們確實是經濟動機強於技術或者是學位的學習 |
transcript.whisperx[206].start |
8723.089 |
transcript.whisperx[206].end |
8746.806 |
transcript.whisperx[206].text |
因此在今年開始我們就設定就是來臺讀書三家室的年齡必須在22歲以下這樣子的話他們的年比較年輕的時候他們比較能夠專心去學習而且我們也保障他們在學校的學習上面我們進一步提升華語的這個教學讓部分原來學生 |
transcript.whisperx[207].start |
8747.466 |
transcript.whisperx[207].end |
8748.686 |
transcript.whisperx[207].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金.(僑務委員會主管信託基金.(僑務委員會主管信託基金.. |
transcript.whisperx[208].start |
8775.133 |
transcript.whisperx[208].end |
8796.302 |
transcript.whisperx[208].text |
二、提升老師的教學品質今年我們已經找了技高端就是大專院校的科技大學以及技高的這些高職技術型高職學校教師主任及校長來開會就是希望提供他們一個新的計劃案 |
transcript.whisperx[209].start |
8797.543 |
transcript.whisperx[209].end |
8800.445 |
transcript.whisperx[209].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分。( |
transcript.whisperx[210].start |
8823.297 |
transcript.whisperx[210].end |
8824.458 |
transcript.whisperx[210].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[211].start |
8847.477 |
transcript.whisperx[211].end |
8867.725 |
transcript.whisperx[211].text |
這個問題是因為產修專班是一個本意的好的出發但是現在很多就是淪為仲介就收起費用那另外就是因為學習的環境不佳是受到很多的批評所以根本學生都不想學習了所以造成了很多的問題所在 |
transcript.whisperx[212].start |
8869.105 |
transcript.whisperx[212].end |
8896.93 |
transcript.whisperx[212].text |
那另外就是說有的學校只想拿補助就以這個假借這個名稱裡面拿補助所以我希望你們導正這樣的一個對沒有錯現在上修到22歲才可以對沒有錯這樣的話降低了這一些不想讀書而且不想寫寫拿這個名稱拿到一個補助所以這樣的一個方案來講的話我想 |
transcript.whisperx[213].start |
8898.15 |
transcript.whisperx[213].end |
8901.293 |
transcript.whisperx[213].text |
謝謝委員的提醒跟委員補充一下有關於仲介這事情我們是非常嚴格在審查不瞞委員說今年確實有某一個國家有個非常明確有仲介行為我們把他全部的學生全部不予誤取 |
transcript.whisperx[214].start |
8915.644 |
transcript.whisperx[214].end |
8917.026 |
transcript.whisperx[214].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬 |
transcript.whisperx[215].start |
8938.948 |
transcript.whisperx[215].end |
8948.571 |
transcript.whisperx[215].text |
因為你們這樣子修正的話才能夠更精進好不好好的好謝謝謝謝謝謝黃委員好謝謝黃委員謝謝委員長接下來有請王定宇委員好謝謝主席麻煩委員長新委員長謝謝 |
transcript.whisperx[216].start |
8967.079 |
transcript.whisperx[216].end |
8990.648 |
transcript.whisperx[216].text |
王昭偉早安委員長早時間不多我先問一個我覺得我們可以一起努力的問題在前兩個禮拜我們立法院很多同事一起到馬來西亞吉隆坡參加我們亞總的年會那當中我們有去看了台灣學校在吉隆坡的台灣學校貴會的阮昭雄副委員長也有出席是 |
transcript.whisperx[217].start |
8991.508 |
transcript.whisperx[217].end |
9010.609 |
transcript.whisperx[217].text |
那馬來西亞的吉隆坡台灣學校其實在東南亞大概有4所台灣學校那馬來西亞這所台灣學校我們去看了他從幼兒園到高中他學的是繁體中文他用的是台灣的108課綱老師是拿台灣的資格更難能可貴的是馬來西亞承認他的學歷 |
transcript.whisperx[218].start |
9011.61 |
transcript.whisperx[218].end |
9027.19 |
transcript.whisperx[218].text |
而且馬來西亞還同意他可以招收八個國家那邊我有看到韓國的學生啊看到那個馬來西亞自己本國的學生招收八個國家學生到裡面然後今年他們的高中部畢業生百分之百到台灣讀大學 |
transcript.whisperx[219].start |
9028.868 |
transcript.whisperx[219].end |
9058.067 |
transcript.whisperx[219].text |
坦白講我去看的是蠻感動的那個學校掛著我們的國旗然後上著繁體中文用的是我們學校我們國家的課程還被馬來西亞因為馬來西亞我們都知道他在一帶一路跟中國關係很好表示這個學校辦得好到他們捨不得把你否決掉那我現在問題來了我要請教就是你知道我們的在海外的我們台籍的學生從國小到高中其實是有補助的 |
transcript.whisperx[220].start |
9059.212 |
transcript.whisperx[220].end |
9067.283 |
transcript.whisperx[220].text |
在中國地區在中國呢我們的所謂的台商學校每個學生每學年補助多少錢你知道嗎 |
transcript.whisperx[221].start |
9068.427 |
transcript.whisperx[221].end |
9090.493 |
transcript.whisperx[221].text |
你不曉得三萬五千元就在中國的臺商學校每學年上下學期補助三萬五千元的學費是我們臺灣補助喔因為他是我們臺灣是教育部補助的然後呢我們在馬來西亞在海外的臺灣學校像這個吉隆坡臺灣學校你知道我們補助多少錢 |
transcript.whisperx[222].start |
9092.47 |
transcript.whisperx[222].end |
9113.23 |
transcript.whisperx[222].text |
我們基本上沒有補助學費有一萬塊我們是五千五千上下學期各五千那我就不懂了一樣是台灣人的子弟在中國讀補助每學年三萬五千元台灣的子弟在吉隆坡讀補助上學期五千下學期五千補助一萬嗎 |
transcript.whisperx[223].start |
9115.566 |
transcript.whisperx[223].end |
9122.745 |
transcript.whisperx[223].text |
來源可能不同的部會但我必須要講對一個台商或者在海外的台灣人來講我的孩子就是台灣的孩子 |
transcript.whisperx[224].start |
9124.229 |
transcript.whisperx[224].end |
9150.054 |
transcript.whisperx[224].text |
那吉隆坡的台灣學校辦得不錯我剛才念他的成績辦得不錯啊課綱是108課綱啊讀的是台灣的書啊課本也不會被人家塗黑黑的啊在中國的台商學校看到中華民國還給你塗成黑字欸國旗化成黑旗還要審批你的教科書在中國要被審查結果一個學生補助三萬五我沒有意見那是我們台灣的子弟 |
transcript.whisperx[225].start |
9151.154 |
transcript.whisperx[225].end |
9168.3 |
transcript.whisperx[225].text |
父母在中國經商孩子有必要受教育那我們的納稅人補助自己的子弟OK的那為什麼我們台商在馬來西亞就補助一萬塊而已跟委員報告這部分的補助全部都是來自教育部那預算也都編在教育部你覺得合理嗎 |
transcript.whisperx[226].start |
9169.06 |
transcript.whisperx[226].end |
9196.443 |
transcript.whisperx[226].text |
我也覺得應該要有一致性那重點在於說我們在東南亞其實有總共五所越南、泰國、馬來西亞印尼有兩所然後我們東北亞事實上日本有三所台灣學校或者華僑學校我們叫做中華學校事實上這個補助的金額呢我的理解是教育部自己去訂的 |
transcript.whisperx[227].start |
9197.264 |
transcript.whisperx[227].end |
9222.304 |
transcript.whisperx[227].text |
那重點是東南亞這五個學校他們現在不是全部都是臺灣中華民國籍的學生他們也有相當外籍的所以委員長我現在講我剛才是強調我知道我一開始是說有八個國家的學生嘛我現在講的是我們臺灣的子弟在海外讀臺灣學校吉隆坡這所他就叫臺灣school從幼兒園到高三然後他升國期用我們的課綱 |
transcript.whisperx[228].start |
9224.105 |
transcript.whisperx[228].end |
9224.706 |
transcript.whisperx[228].text |
為什麼馬來西亞越南就一學年補助一萬? |
transcript.whisperx[229].start |
9245.822 |
transcript.whisperx[229].end |
9257.245 |
transcript.whisperx[229].text |
對於這樣子優良他如果用的是別國的課綱名字又隱晦課程被審查老師用外國人我沒有意見可是這個是台灣學校用我們的課綱我們的教材 |
transcript.whisperx[230].start |
9257.665 |
transcript.whisperx[230].end |
9257.965 |
transcript.whisperx[230].text |
二、審查114年度中央政府總預算案附屬 |
transcript.whisperx[231].start |
9275.777 |
transcript.whisperx[231].end |
9299.319 |
transcript.whisperx[231].text |
您要講我也可以羅列在中國的台商小學該有都有都不一樣我現在講一樣的名目叫做學費補助針對台藝的台籍的學生的學費補助所以今天他在馬來西亞他在越南他在印尼一學年我們現在是補助一萬塊可是他如果是在中國那邊讀台商小學一學年三萬五千塊那我覺得 |
transcript.whisperx[232].start |
9300.301 |
transcript.whisperx[232].end |
9305.158 |
transcript.whisperx[232].text |
確實很不公平講不出一個道理來嘛講不出一個道理北部都一樣都台灣人除了東西 |
transcript.whisperx[233].start |
9306.937 |
transcript.whisperx[233].end |
9335.561 |
transcript.whisperx[233].text |
坦白講在東南亞讀的東西還更像台灣的那他百分之一百高中畢業都到台灣讀大學所以我覺得不患寡而患不均啊你們要跟教育部談那我覺得我們那天去看三個黨的委員都認為這該處理我們那天在那邊大家都認為該處理所以請你正式跟教育部講這幾所用著我們國家的國旗台灣的名稱台灣的108課綱台灣的教材子弟又是我們台灣的子女的話 |
transcript.whisperx[234].start |
9336.001 |
transcript.whisperx[234].end |
9338.262 |
transcript.whisperx[234].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算 |
transcript.whisperx[235].start |
9359.491 |
transcript.whisperx[235].end |
9374.102 |
transcript.whisperx[235].text |
非常感謝委員對我們這個大力的協助我們這些僑校真的辦學都辦得非常的辛苦但是他們也品質非常的優良你還是要去監督,不好的還是要檢討但是我剛才講說這個公平性至少要建立起來是好謝謝委員謝謝王委員謝謝委員長接下來有請楊瓊英委員 |
transcript.whisperx[236].start |
9391.405 |
transcript.whisperx[236].end |
9394.07 |
transcript.whisperx[236].text |
謝謝主席 陽泉發言 邀請委員長來 委員長請 |
transcript.whisperx[237].start |
9401.766 |
transcript.whisperx[237].end |
9430.634 |
transcript.whisperx[237].text |
養護員您好您好我們再來討論留住人才的議題面對少子化跟高齡化的這個嚴重問題呢那麼我們缺工已經成為重大的這個危機所以這是政府必須要去面對的一個議題那麼所以如何能夠留住僑生也是我們僑委會呢非常的重要僑生的人才有很多都很精準而且很棒的 |
transcript.whisperx[238].start |
9431.394 |
transcript.whisperx[238].end |
9455.001 |
transcript.whisperx[238].text |
那所以僑委會你們擴大培育及留用僑生計畫你在112年到115年當中我們看到僑生的人數是17000多那麼海青班的部分是3100多但是我們看到去年你的目標你的目標你這個僑生留台評點的制度裡頭留用的是3544人 |
transcript.whisperx[239].start |
9457.122 |
transcript.whisperx[239].end |
9464.189 |
transcript.whisperx[239].text |
那所以產學合作的這個專班的僑生入學5178人海清班的600個那不過三項的這個數字告訴你也就是都沒有達標比你預期的都沒有達標 |
transcript.whisperx[240].start |
9475.32 |
transcript.whisperx[240].end |
9503.252 |
transcript.whisperx[240].text |
甚至前兩項實際上我們目標要簽人但是也都沒有在這樣的情況之下你要怎麼樣協助僑生畢業後能夠留在臺灣解決臺灣的缺工問題這第一個萬一如果他願意要回到他的母國那你可以不可以協助在母國的這個臺商這個公司那這樣子也可以兩全其美請說明 |
transcript.whisperx[241].start |
9505.237 |
transcript.whisperx[241].end |
9520.606 |
transcript.whisperx[241].text |
謝謝楊委員我很同意楊委員的提醒就是說怎麼樣讓培育過的學生可以盡可能的留下來為我所用那去年開始呢因此我們就發現說用可能一個 |
transcript.whisperx[242].start |
9521.647 |
transcript.whisperx[242].end |
9522.207 |
transcript.whisperx[242].text |
二、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[243].start |
9540.114 |
transcript.whisperx[243].end |
9566.204 |
transcript.whisperx[243].text |
所以本席要求你你把你們去年在做的沒有辦法達到你自己預計的標準你要怎麼樣去精準改善這是本席要聽的是你順便資料給本席好謝謝第二個本席跟你討論語言的部分華語現在很多人全世界很多人都尤其外國人他非常的希望學習華語需求是高的需求是高的 |
transcript.whisperx[244].start |
9566.784 |
transcript.whisperx[244].end |
9590.519 |
transcript.whisperx[244].text |
但是而且也是我國展現國力很重要的一個基準點這個華語你認不認同我很認同很認同我們來討論本期也跟你討論過也就是你們在111年到114年你的總經費4.4億多你以美國跟歐洲為基準橋下成立台灣華語文學習中心你希望能夠 |
transcript.whisperx[245].start |
9592.021 |
transcript.whisperx[245].end |
9602.957 |
transcript.whisperx[245].text |
讓當地的人可以來學習那麼你也介於施肢培育教材供應數位學習這樣的方式以及文化的活動但是我看到你的你訂定的22項關鍵的指標裡頭你只有6項他是達標 |
transcript.whisperx[246].start |
9608.164 |
transcript.whisperx[246].end |
9611.245 |
transcript.whisperx[246].text |
十六項不是不達標所以你等於七層桌都不達標為什麼僑委會你每一次自己制定的目標都不達到這個本錢很納悶欸以你的能力不應當如此欸為什麼會如此所以我要請教委員長這個部分你要怎麼樣去解決哪有一個政府的部門你自己定出來二十二項十六項都沒有達標跟委員報告 |
transcript.whisperx[247].start |
9635.771 |
transcript.whisperx[247].end |
9639.933 |
transcript.whisperx[247].text |
這個方案是在疫情期間開辦然後開辦的時候呢確實當時會有一些資訊的評估在之前有一些落差那去年我開始接受這個職務做這個方案的時候我們就開始跟國發會討論我們這個22項指標是不是合理所以我們現在已經大幅的改變我們的指標今年我們就達標的這個成績就提高很多 |
transcript.whisperx[248].start |
9662.264 |
transcript.whisperx[248].end |
9679.35 |
transcript.whisperx[248].text |
提高很多還是沒有達標所以本市要求你把你改進的方案要怎麼做你會集中在歐美地區嗎未來下一階段的目標會開放全球開放全球不是只有集中在歐美地區嗎沒有了我們次年的計畫結束以後就會開放全球 |
transcript.whisperx[249].start |
9679.85 |
transcript.whisperx[249].end |
9698.719 |
transcript.whisperx[249].text |
方案要怎麼做因為一個政府達到七成都不達標這個很離譜所以你要怎麼樣去改善你順便資料給本席你的答案是未來是全球信託的我最後給你一個功課一分鐘就好我給你一個功課因為我本席上次跟你討論過也就是我們的智能委員會 |
transcript.whisperx[250].start |
9700.08 |
transcript.whisperx[250].end |
9722.013 |
transcript.whisperx[250].text |
你由原先的這個1.0的哀喬卡到現在智慧型的2.0這個哀喬卡你反而在你的2.0二代裡頭你申請的數字反而是更少現在所有的卡上次本席跟討論過你還沒有把你精準方案給本席因為到現在你們申請的這個卡只達到海外僑民的3% |
transcript.whisperx[251].start |
9726.636 |
transcript.whisperx[251].end |
9727.296 |
transcript.whisperx[251].text |
過去第一代是花了五年才達到十萬張 |
transcript.whisperx[252].start |
9744.224 |
transcript.whisperx[252].end |
9748.625 |
transcript.whisperx[252].text |
第二代這個愛喬卡我們只用兩年的時間到現在為止其實已經超過8萬多張了所以我們以每年的速度來說我們其實是超前以前很多委員長本集告訴你一個答案目前所申請的只有達到海外僑民的3%你要怎麼去解決委員你這個數字是7月的我們現在已經到12月了 |
transcript.whisperx[253].start |
9766.87 |
transcript.whisperx[253].end |
9776.798 |
transcript.whisperx[253].text |
委員這是七月的數字我們現在已經八萬了所以總總統是海外僑民的三趴你要怎麼樣這麼好的為什麼人家不願意去做好對不對你應該把你的基金方案給本席好的那怎麼樣達到你的目標我們就繼續提供好不好我們會持續的提供謝謝 |
transcript.whisperx[254].start |
9787.568 |
transcript.whisperx[254].end |
9789.83 |
transcript.whisperx[254].text |
接下來進行詢答委員馬文君委員馬文君委員馬文君委員不在接下來進行詢答委員林益君委員 |
transcript.whisperx[255].start |
9818.864 |
transcript.whisperx[255].end |
9821.745 |
transcript.whisperx[255].text |
謝謝主席有請委員長來委員長請林委員林昭薇你好委員長好因為今天時間有限那個委員長你就只要重點簡單回答我有三個問題像僑委會主要的功能就是幫助全國僑胞在各地安居樂業同時團結海外僑胞的民間力量讓我們國家在國際上會更加的壯大 |
transcript.whisperx[256].start |
9846.255 |
transcript.whisperx[256].end |
9849.336 |
transcript.whisperx[256].text |
那委員長你知道嗎我們在海外有很多僑團嘛所以我們現在會因為國內的政黨的傾向不同所以會有不同派系的團體像我今年八月份到美國僑社的時候就發現有經過分明的兩派中華民國派和台派一個是全美台灣同鄉聯誼會 |
transcript.whisperx[257].start |
9867.76 |
transcript.whisperx[257].end |
9868.321 |
transcript.whisperx[257].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金.. |
transcript.whisperx[258].start |
9886.84 |
transcript.whisperx[258].end |
9888.921 |
transcript.whisperx[258].text |
怎麼樣就是說請問委員長面對這麼尷尬的問題你們如何溝通協調面對這樣的處理尤其讓這種不同政黨立場的僑社也可以團結及意見一致呢畢竟我們僑團就是我們臺灣民間外交最好的大使團所以我想說面對這些外交的問題委員長要如何處理呢 |
transcript.whisperx[259].start |
9908.591 |
transcript.whisperx[259].end |
9915.955 |
transcript.whisperx[259].text |
中華會館的成立他們都是早期的這個中國移民老僑事實上不一定跟中華民國有發生關係因為你看他成立的時間在18九幾年都已經成立了那時候中華民國都還沒有誕生嘛 |
transcript.whisperx[260].start |
9923.678 |
transcript.whisperx[260].end |
9947.797 |
transcript.whisperx[260].text |
但是這些僑胞確實早期是促進中華民國在革命的時候捐款很重要的力量之一所以他們至今仍然是以支持自由民主的價值所以我們跟這些傳統僑社近年來我們有更好的溝通那由於美中貿易戰等等的這種競合大家逐漸看清楚中國的面目所以包括這些傳統僑社近年來在沒有任何我們給他利益的狀況下 |
transcript.whisperx[261].start |
9952.261 |
transcript.whisperx[261].end |
9953.422 |
transcript.whisperx[261].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算 |
transcript.whisperx[262].start |
9968.63 |
transcript.whisperx[262].end |
9971.893 |
transcript.whisperx[262].text |
因為臺灣的早期中華民國還在戒嚴時期的歷史產物所遺留下來但是至今我在2020年之後來到僑委會世界大概也已經繞了三四十個國家我有一個很欣喜的發現跟委員報告就是說不管現在是所謂的中華民國派或者是臺派基本上大家已經有一個共識 |
transcript.whisperx[263].start |
9995.151 |
transcript.whisperx[263].end |
10004.454 |
transcript.whisperx[263].text |
大家第一個都從台灣來自台灣第二個對支持台灣自由民主也很有共識所以我認為大家現在可以放棄過去那種對立的一個姿態甚至國內雖然有不同的政黨傾向可是他們現在甚至可以一起辦升旗典禮 |
transcript.whisperx[264].start |
10013.897 |
transcript.whisperx[264].end |
10015.078 |
transcript.whisperx[264].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金.(僑務委員會主管信託基金.. |
transcript.whisperx[265].start |
10041.033 |
transcript.whisperx[265].end |
10061.925 |
transcript.whisperx[265].text |
有趨近的一致那第二個問題就是說委員長你知道現在有關對岸中國大陸的孔子學院嗎近期在西方其實已經關閉了不少但是據本席了解設置在美國大學的孔子學院也剩不到5個所以雖然西方國家對孔子學院的質疑聲量非常高但是國際媒體現在發現孔子學院在阿拉伯世界的 |
transcript.whisperx[266].start |
10062.225 |
transcript.whisperx[266].end |
10078.154 |
transcript.whisperx[266].text |
中東還有北非還有非洲地區南美洲的數量開始持續的擴張而且成為重點發展地區那請問僑委會有沒有掌握呢還有是有沒有做好最相關的因應呢因為你們的報告內容有寫說114年要強化全球佈局那委員長你有沒有信心讓我們在臺灣華語文學習中心可以進駐這些國家還是設立更多的這些然後取代孔子學院呢 |
transcript.whisperx[267].start |
10090.841 |
transcript.whisperx[267].end |
10112.192 |
transcript.whisperx[267].text |
事實上我們跟童子學院完全不在同一個level因為它是政治上的大外宣那我們開設華語文學習中心事實上是對各個國家的文化融合或者是族群和諧共處都有很好的幫助那這13年多的時間在美國以及歐洲十多個國家 |
transcript.whisperx[268].start |
10113.132 |
transcript.whisperx[268].end |
10117.895 |
transcript.whisperx[268].text |
經過這樣子的一個執行都受到各國的歡迎而且包括像美國國務院都還主動幫我們宣傳那我們也樂觀其成在下一個階段的中長程級計劃的時候我們在2026年開始我們會擴大到全球所以就不只設限在歐洲或是美國可能包括其他的州像歐洲以外的所以還是會持續擴展就對了是的 |
transcript.whisperx[269].start |
10138.926 |
transcript.whisperx[269].end |
10148.193 |
transcript.whisperx[269].text |
對 我們會向全球性擴展包括 亞洲 大洋洲其他的各州 東南美洲只要他們有意願 興趣我們都會願意去協助他們來設立那經過設立的單位都是屬於當地的NGO組織僑委會是站在協府的立場給他們前幾年提供一定的補助 |
transcript.whisperx[270].start |
10159.122 |
transcript.whisperx[270].end |
10161.084 |
transcript.whisperx[270].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金.(僑務委員會主管信託基金.. |
transcript.whisperx[271].start |
10174.099 |
transcript.whisperx[271].end |
10177.362 |
transcript.whisperx[271].text |
第三個問題就是說僑委會辦理產學攜手合作的僑生專班107年到110年你們根據各個地方像馬來西亞、泰國、越南這些都僑台商需求的餐飲管理的服務為主但是最近還有國發會為了因應我國的產業用人的需求110年特別召開了僑生專班的轉型會議然後也針對了製造業營造業還有長照農業還有電子商務等五大類科 |
transcript.whisperx[272].start |
10203.522 |
transcript.whisperx[272].end |
10207.063 |
transcript.whisperx[272].text |
學生為主但是我發現僑生專班的實際招生的結果雖然17校開設的是試班但報到人數的話占預定招收人數進不到試程而其中選擇五大類科者與預期相當非常的大就相差很大那請問原因為何還有請問委員長對此問題你是否有什麼檢討的對策呢 |
transcript.whisperx[273].start |
10226.75 |
transcript.whisperx[273].end |
10254.793 |
transcript.whisperx[273].text |
好委員我把這個詳細的資料補充到您的辦公室再跟您進一步詳細說明好不好這數字有一點他寫錯了其實是這個是2022年也就是我們第一年開始擴大舉辦的那個時間但是我們預定招收人數應當不是這個6270那年還在疫情的管制當中去年呢我們就已經突破5000多了今年我們已經6000多對我會把資料提供給您所以我們已經都超標跟達標了 |
transcript.whisperx[274].start |
10256.755 |
transcript.whisperx[274].end |
10279.194 |
transcript.whisperx[274].text |
謝謝林宜君召委委員長請回今天已登記質詢的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王逸川委員提出書面質詢請列入記錄並刊登公報相關機關已書面於兩週內答覆委員口頭質詢未及答覆 |
transcript.whisperx[275].start |
10279.935 |
transcript.whisperx[275].end |
10302.532 |
transcript.whisperx[275].text |
或要求補充資料者請相關單位以書面於兩週內提供那我們今天在機密報告跟詢答的時候已經把機密預算審查完略那該進行書面報告的請客尊保密規定來回答相關委員那我們現在呢 |
transcript.whisperx[276].start |
10303.973 |
transcript.whisperx[276].end |
10330.211 |
transcript.whisperx[276].text |
請布置協商場地。相關列席官員待會休息後就協商位置。我們來處理明年度僑委會相關的預算。現在休息10分鐘。王市長 |
transcript.whisperx[277].start |
10334.746 |
transcript.whisperx[277].end |
10337.819 |
transcript.whisperx[277].text |
我現在主持會議你待會好不好你待會你過過 |
transcript.whisperx[278].start |
11140.987 |
transcript.whisperx[278].end |
11147.809 |
transcript.whisperx[278].text |
我們要審到天荒地老怎麼可以審到天荒地老 |
transcript.whisperx[279].start |
11161.394 |
transcript.whisperx[279].end |
11187.382 |
transcript.whisperx[279].text |
好來我們現在來恢復開會那今天要審查僑委會的公開預算還有他兩個那兩筆也一起處理嗎沒有我們今天只處理公務預算那機密預算已經處理完均了好我們現在我先處理兩件事情第一個陳永康委員剛才特別跟本席說他在58案到68案跟 |
transcript.whisperx[280].start |
11188.082 |
transcript.whisperx[280].end |
11189.543 |
transcript.whisperx[280].text |
二、審查114年度中央政府總預算案關於僑務委員會主管收支公開及機密部分。(詢答及處理 |
transcript.whisperx[281].start |
11209.718 |
transcript.whisperx[281].end |
11211.599 |
transcript.whisperx[281].text |
二、審查114年度中央政府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 |
transcript.whisperx[282].start |
11234.625 |
transcript.whisperx[282].end |
11254.359 |
transcript.whisperx[282].text |
相關的預算那全部就是變成統一減列一百萬元那其他的同仁們省到相關預算如果有其他想法的話那我們就一併並案處理然後可以用雲芝的方式來進行可以自行調整啦對自行調整謝謝好謝謝徐小新委員那個僑委會有記錄起來嗎我們討論那個案子的時候你們要提出來好那我們現在就先從 |
transcript.whisperx[283].start |
11261.724 |
transcript.whisperx[283].end |
11286.151 |
transcript.whisperx[283].text |
第一案到第二案我們有合併同樣的我們以分支計劃來做合併然後待會請僑委會如果已經跟提案委員達成共識直接講共識結論我們留多一點時間去討論有爭議的沒有爭議的我們就報告結論比如說同意造劣或者凍結多少數好我們現在先處理第一案到第二案併案處理請僑委會說明 |
transcript.whisperx[284].start |
11292.798 |
transcript.whisperx[284].end |
11298.652 |
transcript.whisperx[284].text |
第一案第二案分別是林一斤等一下林一斤委員在嘛我們不在就不處理那個林楚瑩委員不在好來繼續 |
transcript.whisperx[285].start |
11300.655 |
transcript.whisperx[285].end |
11320.984 |
transcript.whisperx[285].text |
第一案跟第二案分別都是林益君委員跟林楚映委員針對我們的媒宣執行率未達標的這個部分提出建議那凍結金額呢因為後面也有好幾位委員的提案跟本案都有相關聯是不是可以我們一起合併剛剛那個徐曉信委員的16案他同意合併刪除100然後剛剛馬委員的7案呢他贊成統統只凍100 |
transcript.whisperx[286].start |
11329.248 |
transcript.whisperx[286].end |
11332.391 |
transcript.whisperx[286].text |
在場馬文君委員、黃蓉委員、羅美玲委員、李玉娟委員、陳冠廷委員有關沒宣的預算目前我聽到兩個數字一個是凍結100一個是減劣100 |
transcript.whisperx[287].start |
11348.55 |
transcript.whisperx[287].end |
11368.855 |
transcript.whisperx[287].text |
如果我們待會我們是不是一併就是說因為坦白講僑委會的預算不多他們的一百跟別人一百佔比不一樣大所以我們是不是這樣子乾脆就是檢列一百凍結一百兩個都做然後我們就把這些案子做一個整理有沒有意見那個羅美玲委員 |
transcript.whisperx[288].start |
11370.782 |
transcript.whisperx[288].end |
11393.324 |
transcript.whisperx[288].text |
我們待會再看是以誰的做主題案主席你意思是說對於這一個埃喬卡的文宣包含埃喬卡的部分是不是沒有埃喬卡沒有在這裡面埃喬卡沒有在裡面有關梅宣的因為主席剛剛點名到我我在想說我剛才是場面上的我每個都要問一下我以為你在講那個埃喬卡我再重複說一次 |
transcript.whisperx[289].start |
11394.065 |
transcript.whisperx[289].end |
11410.371 |
transcript.whisperx[289].text |
有關媒宣的部分我們就是合併全部合併凍結100檢列100那待會請醫生提醒我到處理到那個案子的時候我們再看以誰當主題案其他病案處理這樣各位在場委員有沒有意見 |
transcript.whisperx[290].start |
11412.795 |
transcript.whisperx[290].end |
11441.471 |
transcript.whisperx[290].text |
關廷委員沒有意見我們待會就不多討論以結論來處理所以第一案跟第二案我們待會就是合併凍結100、檢列100以誰為主題案我們最後再來處理來第三跟第四案的部分請喬委會說明第三案、第四案分別是瞿小新委員檢列10萬馬文君委員檢列210但經過溝通以後兩位都同意照列非常感謝委員 |
transcript.whisperx[291].start |
11443.915 |
transcript.whisperx[291].end |
11450.65 |
transcript.whisperx[291].text |
第三跟第四案同意照列來第五到第十一案這個是埃喬卡嘛第五到十一案請僑委會說明 |
transcript.whisperx[292].start |
11453.408 |
transcript.whisperx[292].end |
11460.69 |
transcript.whisperx[292].text |
愛小卡有非常多委員的關心分別有林楚英委員、王定宇委員、馬文君委員、陳冠廷委員、林益君委員及黃仁委員那大家的這個對我們質詢或者是編測的都是說目前發卡量還未達標那這一部分呢我們是不是建議我們所有委員可以一起併案 |
transcript.whisperx[293].start |
11477.854 |
transcript.whisperx[293].end |
11492.911 |
transcript.whisperx[293].text |
凍結10萬然後因為這一筆費用只是管理費用100多萬而已金額數字並不大好那個林益君委員還有沒有其他委員的意見還有黃委員羅美玲好先從林益君召委開始 |
transcript.whisperx[294].start |
11493.373 |
transcript.whisperx[294].end |
11494.274 |
transcript.whisperx[294].text |
二、審查114年度中央政府總預算 |
transcript.whisperx[295].start |
11523.616 |
transcript.whisperx[295].end |
11525.958 |
transcript.whisperx[295].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算 |
transcript.whisperx[296].start |
11548.257 |
transcript.whisperx[296].end |
11568.592 |
transcript.whisperx[296].text |
有關於這個埃喬卡發行量少的這個部分我看到很多委員是放在這個管理費用的部分責心管理跟維護那我的部分是放在18案綜合規劃業務這個你們要一起處理還是說要個別因為內容是一樣的可是動在不同的項目主席這個部分要怎麼處理 |
transcript.whisperx[297].start |
11573.424 |
transcript.whisperx[297].end |
11578.131 |
transcript.whisperx[297].text |
因為這個科目很大,埃喬卡有點是放在裡面的一小塊啦我先詢問一下好不好,各位委員跟馬委員很有意見委員長我要請問一下,你們埃喬卡到底目的是什麼? |
transcript.whisperx[298].start |
11591.311 |
transcript.whisperx[298].end |
11598.477 |
transcript.whisperx[298].text |
跟召委及各位委員報告當時同委員長時代他認為說我們碰到疫情然後加上現在的這個數位化的運作可以跨越國界那大家帶實體卡又容易遺失所以在這樣的動機之下第二個呢大的意思是說希望能夠透過這種數位化的來匯聚大的數據資料所以才啟動了這樣的一個 |
transcript.whisperx[299].start |
11618.735 |
transcript.whisperx[299].end |
11630.345 |
transcript.whisperx[299].text |
就是說僑委會的業務我坦白說不是這個啦然後當年在弄這個卡的時候我其實我們好幾個我跟馬偉我們都說你看這個卡是要做什麼就是說你拿這張卡你說要消費打折僑報又不住在我們這裡不過近年來我們有把愛僑卡的功能提升比方說僑報如果要返國我舉例子像APEC卡 |
transcript.whisperx[300].start |
11643.917 |
transcript.whisperx[300].end |
11668.585 |
transcript.whisperx[300].text |
Apeca台商就很喜歡因為申請那個之後呢我過海關可以快速通關如果你這個i喬卡經過嚴格的審核沒有犯罪紀錄啊優良啊等等的話他拿這張卡等於回國的時候啪就進來了我告訴你你發現他一定大聲就是說這個卡有沒有符合僑委會存在的目的服務的目的以及這個卡對僑胞來講到底好不好用他不管是實體或虛擬虛擬更麻煩虛擬要做好治安啊 |
transcript.whisperx[301].start |
11672.086 |
transcript.whisperx[301].end |
11690.366 |
transcript.whisperx[301].text |
否則一被竊你整個八萬人十萬人知道就不見了所以我坦白講我對這個卡的發行的目的以及對僑委會有限的預算下還要背這件事情到底有沒有必要你們真的要審慎思考我請馬文君委員我們兩個在這邊我們在這個委員會待罪久的這個卡從實體到虛擬我們都經過了 |
transcript.whisperx[302].start |
11693.869 |
transcript.whisperx[302].end |
11698.392 |
transcript.whisperx[302].text |
謝謝主席我們的看法跟主席一樣因為我們208萬5千多人你的發卡量其實只有8萬多每年都在提大家都在討論是不是 |
transcript.whisperx[303].start |
11711.118 |
transcript.whisperx[303].end |
11724.651 |
transcript.whisperx[303].text |
如果我們沒有辦法發揮它最大的功能對我們僑委會在本身上面的業務拓展有幫助的話事實上它的存費或者其他的方式其實我覺得可以認真考慮一下 |
transcript.whisperx[304].start |
11725.831 |
transcript.whisperx[304].end |
11727.873 |
transcript.whisperx[304].text |
關於僑務委員會主管收支公開及基金..僑務委員會主管信託基金.. |
transcript.whisperx[305].start |
11754.018 |
transcript.whisperx[305].end |
11758.17 |
transcript.whisperx[305].text |
我建議僑委會去思考跟出入境管的單位溝通 |
transcript.whisperx[306].start |
11759.531 |
transcript.whisperx[306].end |
11760.791 |
transcript.whisperx[306].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬 |
transcript.whisperx[307].start |
11784.156 |
transcript.whisperx[307].end |
11785.416 |
transcript.whisperx[307].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[308].start |
11806.283 |
transcript.whisperx[308].end |
11818.804 |
transcript.whisperx[308].text |
我看他們到東南亞國家他過關的時候那一張很有用這個給你參考好我們第5案到第11案並案凍結10萬元以羅美玲委員提案羅美玲沒有在這裡面 |
transcript.whisperx[309].start |
11820.493 |
transcript.whisperx[309].end |
11822.874 |
transcript.whisperx[309].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預算案附屬單位 |
transcript.whisperx[310].start |
11843.624 |
transcript.whisperx[310].end |
11863.577 |
transcript.whisperx[310].text |
林毅君委員的第10案改組決議主決議已經送來了我們待會再來宣讀好我們處理第12案到第13案這個我們剛已經討論過了有關沒宣的部分就是併案3、100、動100那最後沒宣的部分我們再來看以哪一位委員來做主題案好接下來第14案到第17案請說明 |
transcript.whisperx[311].start |
11871.295 |
transcript.whisperx[311].end |
11895.045 |
transcript.whisperx[311].text |
建於今年的國慶晚會這個報名的僑包人數增加很多但是國慶辦理晚會時間之前又碰到颱風所以造成一些不可確定的因素那雖然臺北市政府已經很積極的想要擴張這個人數不過最後我們還是只有分到2000個名額 |
transcript.whisperx[312].start |
11896.986 |
transcript.whisperx[312].end |
11921.597 |
transcript.whisperx[312].text |
所以這部分我們也希望說未來可以繼續為僑胞來爭取更多的這個這個座位數那另外就是我們也會更彈性的來跟主辦的單位地方政府進行相關的溝通那過往因為通常國慶日的慶典跟晚會都是8號或9號比較銜接在一起 |
transcript.whisperx[313].start |
11922.017 |
transcript.whisperx[313].end |
11922.857 |
transcript.whisperx[313].text |
來,看其他委員有沒有意見。來,馬文君委員。 |
transcript.whisperx[314].start |
11949.026 |
transcript.whisperx[314].end |
11955.051 |
transcript.whisperx[314].text |
這個部分好像當時有講要併動嘛併動二十主要是因為雖然我們這一次的國慶晚會大概我們僑胞的座位大概有兩千個不過到最後雖然是一票難求那我們有四千多個就是回國的僑胞可是只分配到兩千席可是在最後當 |
transcript.whisperx[315].start |
11973.987 |
transcript.whisperx[315].end |
11990.938 |
transcript.whisperx[315].text |
委員會當天我們僑包的座位是一片空蕩蕩沒有人的這個狀況其實也受到一些熱議所以這個部分未來在控管或地補上面其實也應該有一些相關的機制所以我們還是按照原來說的我們就凍結20萬 |
transcript.whisperx[316].start |
11993.783 |
transcript.whisperx[316].end |
12020.97 |
transcript.whisperx[316].text |
好來我來處理預算看那其他同仁有意見沒有的話徐曉鑫委員改組決議那王定宇委員馬文君委員徐曉鑫委員的凍結案合併17案就是併合併那個他是沒宣的那沒關係那就是王定宇委員跟馬文君委員的提案合併凍結20萬元以馬文君委員的為主提案那書面報告後動之好使得動之 |
transcript.whisperx[317].start |
12021.63 |
transcript.whisperx[317].end |
12021.85 |
transcript.whisperx[317].text |
第18到24案請說明 |
transcript.whisperx[318].start |
12035.104 |
transcript.whisperx[318].end |
12045.99 |
transcript.whisperx[318].text |
18案是剛剛羅美玲委員希望能夠併案的部分那在這部分事實上是有一少前面的部分是純粹是網路的維護營運費那這一部分的金額其實也是非常少 |
transcript.whisperx[319].start |
12052.213 |
transcript.whisperx[319].end |
12056.158 |
transcript.whisperx[319].text |
此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外,此外 |
transcript.whisperx[320].start |
12070.496 |
transcript.whisperx[320].end |
12077.459 |
transcript.whisperx[320].text |
對我剛剛有提出來因為剛剛前面已經在講挨敲卡所以我做18也是挨敲卡我想說我可以同意併案啦併到前面去沒有問題OK好謝謝羅委員那接下來19案的部分到 |
transcript.whisperx[321].start |
12085.623 |
transcript.whisperx[321].end |
12090.204 |
transcript.whisperx[321].text |
二十二案這個都是搭橋計劃那搭橋計劃事實上委員們都很關心我們也很高興說今年有2800個來申請可是我們因為經費有限只能錄取到60位所以今年我們有略略增加我們的預算所以明年這部分會擴大來錄取那所以是不是委員這部分我們錢已經很少了 |
transcript.whisperx[322].start |
12110.649 |
transcript.whisperx[322].end |
12136.151 |
transcript.whisperx[322].text |
如果可以的話就是我們合併那不要動這麼多看看是不是可以動20萬吧好不好好50萬也可以啦我們就委員長如果經過溝通有達到共識你們就直接講達到共識多少基本上也跟馬委員黃委員各位委員陳委員林委員都有溝通就是說併案動50然後書面報告 |
transcript.whisperx[323].start |
12139.802 |
transcript.whisperx[323].end |
12164.298 |
transcript.whisperx[323].text |
來陳冠廷委員委員長這個動武是我是沒有意見的可以但是就是說我們是希望說因為有一些反應說不公平不知道說到底是領選多少名學子還有計畫的橋梯弟等等的這個書面報告內容幫我們補正就可以了好不好好的好謝謝謝謝陳委員好那第23案的部分其實跟前面一次是不是委員也同意讓我們併案了所以這案也就照列 |
transcript.whisperx[324].start |
12165.267 |
transcript.whisperx[324].end |
12190.6 |
transcript.whisperx[324].text |
好我來處理23案照列黃元委員請說針對這個21案的這個部分剛好有提到這個原住民和新住民的學生的需求我想這個委員長也要特別注意到這一些方面所以在搭橋的計畫裡面能夠擴大讓國際事業及認識僑務工作的機會所以這邊有特別提到原住民還有新住民 |
transcript.whisperx[325].start |
12191.861 |
transcript.whisperx[325].end |
12193.403 |
transcript.whisperx[325].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[326].start |
12211.158 |
transcript.whisperx[326].end |
12230.907 |
transcript.whisperx[326].text |
第18案羅美琳委員的提案雖然分支計劃不同但是跟埃喬卡有關我們把它併到前面埃喬卡的併動那第19到第24案以黃人委員的提案為主提案併動50萬那書面報告請涵蓋各委員關心的事情 |
transcript.whisperx[327].start |
12234.514 |
transcript.whisperx[327].end |
12236.274 |
transcript.whisperx[327].text |
二十三案馬委員同意照列再來我們處理第二十五案到第三十案請說明 |
transcript.whisperx[328].start |
12262.284 |
transcript.whisperx[328].end |
12263.205 |
transcript.whisperx[328].text |
馬委員OK 那林益君委員 |
transcript.whisperx[329].start |
12289.827 |
transcript.whisperx[329].end |
12289.967 |
transcript.whisperx[329].text |
林益君 |
transcript.whisperx[330].start |
12300.326 |
transcript.whisperx[330].end |
12324.93 |
transcript.whisperx[330].text |
我發現僑委會110年到112年的協輔僑團的成立急難救助協會的預算執行真的是比較偏低而且績效不佳所以雖然海外僑界急難救助的協會是要配合外交部各外的主管統一指揮但僑委會還是應該要想辦法積極運用結合僑胞的力量去協助而非把這個責任都把他甩過給外交部所以我堅持單獨凍結這個預算50萬讓僑委會檢討如何進行 |
transcript.whisperx[331].start |
12329.531 |
transcript.whisperx[331].end |
12348.083 |
transcript.whisperx[331].text |
打到協助救助的效果好我來處理預算跟各位有沒有意見25到30案原則上我們併案凍結50萬元以林一軍召委為主提案那其中沈伯陽委員跟徐曉新委員改組決議這樣有沒有問題那書面報告後使得動之 |
transcript.whisperx[332].start |
12353.654 |
transcript.whisperx[332].end |
12354.979 |
transcript.whisperx[332].text |
好,沒問題,我們二十五到三這樣處理來,31到34案請說明 |
transcript.whisperx[333].start |
12362.143 |
transcript.whisperx[333].end |
12384.933 |
transcript.whisperx[333].text |
這個是有關於僑社的工作研討會的邀訪我們邀訪團在這兩年都其實來參與的這些僑團領袖他們都非常肯定他們覺得來經過工作坊以後對他們的社團經營以及對他們的個人生涯發展都有很好的幫助所以是不是可以請委員繼續支持我們統一造列也溝通過了謝謝馬委員 |
transcript.whisperx[334].start |
12391.997 |
transcript.whisperx[334].end |
12393.979 |
transcript.whisperx[334].text |
第三十五到三十七案請說明 |
transcript.whisperx[335].start |
12414.289 |
transcript.whisperx[335].end |
12442.525 |
transcript.whisperx[335].text |
這是針對我們在海外的16個僑教中心那近年來因為我們僑教中心各國的這個就是説這個物價指數上漲然後各國的人力的這個成本他們也提高所以我們在這個部分的預算上確實是嚴重不足那是不是經過溝通補充資料後呢有陳冠廷委員李毅君委員跟馬文君委員都同意改為主決議 |
transcript.whisperx[336].start |
12446.05 |
transcript.whisperx[336].end |
12471.824 |
transcript.whisperx[336].text |
您議軍委員是也改成主決議謝謝來林委員請說謝謝主席我今天質詢的重點就是說海外華語文中心按照你的規劃就是持續的擴展所以今天也有講到是不是阿拉伯世界和中東北非那邊他們一直持續持續所以我們是不是有在這方面也有加強有未來是全球的OK好那我就改成主決議好謝謝委員 |
transcript.whisperx[337].start |
12473.365 |
transcript.whisperx[337].end |
12481.067 |
transcript.whisperx[337].text |
好這個是35到37來馬文君委員這個部分我們同意改成主決議可是我記得在上個年度其實也已經提到了就是我們現在目前有16處的海外的華僑文教中心可是大部分都是分配在北美尤其像澳洲就兩處可是澳洲那裡才五萬多人 |
transcript.whisperx[338].start |
12498.891 |
transcript.whisperx[338].end |
12517.518 |
transcript.whisperx[338].text |
那你其他我們僑包數比較多的泰國、馬來西亞、印尼、日本這邊其實都沒有海外僑交中心所以就這個部分一直都好像也沒有特別提出一個因應的作為那因法現在也都猜測了嘛所以就這個部分我們還是同意改成組決議不過就這個面向雖然我們經費不足可是還是應該要強化這個部分好 來林委員 |
transcript.whisperx[339].start |
12524.56 |
transcript.whisperx[339].end |
12542.347 |
transcript.whisperx[339].text |
我剛才同意那個馬委員的說法所以我覺得這個還是要一個規劃讓我們知道這樣主決議的時候也是要回覆來陳冠廷委員我是改主決議那一樣還有一個地方要提醒就是說喬喬中心是週末的時候他的需求最大所以說人員的調配希望說以後 |
transcript.whisperx[340].start |
12543.367 |
transcript.whisperx[340].end |
12545.729 |
transcript.whisperx[340].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分 |
transcript.whisperx[341].start |
12563.983 |
transcript.whisperx[341].end |
12569.186 |
transcript.whisperx[341].text |
三十五案、三十六案、三十七案陳冠廷委員、林毅君委員、馬文君委員改組決議但是請僑委會就僑教中心分部的位置 |
transcript.whisperx[342].start |
12586.957 |
transcript.whisperx[342].end |
12595.83 |
transcript.whisperx[342].text |
人力資源的運用以及開提供服務的時間在回復主決議的時候請詳時說明再來38案到44案請說明 |
transcript.whisperx[343].start |
12602.103 |
transcript.whisperx[343].end |
12616.953 |
transcript.whisperx[343].text |
三十八案到四十四案呢主要就是針對我們在僑輕的培育計畫上面那因為有一些費用增加那麼最後經過溝通呢大家同意三八、三九、四十、四十四並案一起凍結五十然後書報書報後同意那我們都 |
transcript.whisperx[344].start |
12627.438 |
transcript.whisperx[344].end |
12627.898 |
transcript.whisperx[344].text |
各位委員有沒有其他意見? |
transcript.whisperx[345].start |
12642.972 |
transcript.whisperx[345].end |
12666.27 |
transcript.whisperx[345].text |
沒有的話我們來處理這個預算數38案到44案有關媒宣的部分我們就併入我們之前的原則來處理我們剛已經決定併案3減100凍結100凍結的部分書面報告後使得凍支那簡列的部分科目執行調整那其餘的部分來併動50萬那併動的部分 |
transcript.whisperx[346].start |
12672.394 |
transcript.whisperx[346].end |
12677.558 |
transcript.whisperx[346].text |
以馬文君委員的提案為主提案並動50萬元書面報告後時的動資主席我再補充一下因為同一並動不過因為在39案的時候他這個內容大概比較不一樣就是我們在這個部分112年的時候有聘用國內的專案人力一名還有國外專案人員三名 |
transcript.whisperx[347].start |
12697.071 |
transcript.whisperx[347].end |
12700.293 |
transcript.whisperx[347].text |
一、一百一十三年的時候國內專案人力一名然後國外的專案人員變成五名像這樣子約用人員人數就是一直在增加當中可是他到底做什麼國內國外他分別他是執行什麼樣的業務然後他的成效是什麼你必須要增加這樣的人數所以這個部分也要一併說明清楚 |
transcript.whisperx[348].start |
12721.746 |
transcript.whisperx[348].end |
12737.877 |
transcript.whisperx[348].text |
主席我補充報告一下因為我八月份跟林委員我們去德州喬教中心他是全世界最大的喬教中心那成效也是最好的所以他的業務負荷比較多所以他增加那個人在那邊是他需要增加人數的 |
transcript.whisperx[349].start |
12741.139 |
transcript.whisperx[349].end |
12759.068 |
transcript.whisperx[349].text |
我們其實這幾年喬州中心的業務都增加很多那因為我們人力呢沒有辦法增加所以我們在這樣的狀況之下乙類僱員跟鄰僱也都是被外交部控管的所以在業務增加的狀況之下我們只能用專案人力來補充所以請委員支持真的很感謝 |
transcript.whisperx[350].start |
12759.608 |
transcript.whisperx[350].end |
12767.976 |
transcript.whisperx[350].text |
我們38案到44案以馬文君委員的第40案為主題案並案凍結50萬元那書面報告後時的凍支書面報告請涵蓋剛才委員詢問的部分所以請僑委會 |
transcript.whisperx[351].start |
12776.104 |
transcript.whisperx[351].end |
12797.881 |
transcript.whisperx[351].text |
做記錄人請務必做詳史來因為委員其實我今天感覺的出來了大家不是對你們預算有問題是希望你們在有些部分說明清楚做得更好這個很善意的建議請你們去回答的時候一定要回答到那有關沒宣的部分我們一樣並案處理待會再來處理好第45案陳冠廷委員這個請僑委會說明 |
transcript.whisperx[352].start |
12803.414 |
transcript.whisperx[352].end |
12823.043 |
transcript.whisperx[352].text |
經過跟陳委員的這個溝通呢瞭解陳委員對我們的督促方向所以陳委員同意改為主決議我們也會遵照同意只是說一樣就是因為預算變多可是目標值卻降低這樣子是有點奇怪的再麻煩在主決議回覆的時候請涵蓋這個部分45案改主決議來接下來處理46到52案請說明 |
transcript.whisperx[353].start |
12829.34 |
transcript.whisperx[353].end |
12847.492 |
transcript.whisperx[353].text |
46到52案是針對著我們華語文學習中心還有所有在海外的這個橋校的師資在培育上面我們是鼓勵我們橋校的老師呢可以進一步進入到當地的主流教師取得執照所以過去有訂立這樣的一個指標那事實上近年來我們有觀察到 |
transcript.whisperx[354].start |
12852.935 |
transcript.whisperx[354].end |
12859.257 |
transcript.whisperx[354].text |
各個不管在美國或歐洲的這個僑校他們已經逐漸的朝上這個目標而且越辦越好然後主流的教師呢也跟我們開始有靠近因為他們知道說我們編的教材還有我們的師資培育都是他們所需要的所以這方面我們未來會繼續呈現成果給委員看是不是遵照委員之前的溝通馬雲居委員同意改組決議那陳委員是不是也可以一起併案這個處理 |
transcript.whisperx[355].start |
12883.835 |
transcript.whisperx[355].end |
12905.888 |
transcript.whisperx[355].text |
還是我們連同後面的業務費用都一併就沒關係這個我們來處理是因為都是同一個類型各位委員還有沒有什麼要垂詢的部分沒有的話這樣子我如果那個宣打有錯誤的話請各位委員隨時提出沒有問題46案馬文君委員提案改組決議那另外47、49、50、51、52 |
transcript.whisperx[356].start |
12912.072 |
transcript.whisperx[356].end |
12927.709 |
transcript.whisperx[356].text |
以陳冠廷委員的第47案為主提案並案凍結50萬元書面報告後使得凍支48案有關梅宣的部分我們剛才已經確定處理的原則到時候並案一併處理好接下來處理53案到57案請僑委會說明 |
transcript.whisperx[357].start |
12932.468 |
transcript.whisperx[357].end |
12943.213 |
transcript.whisperx[357].text |
五十三案到五十七案的部分扣除五十七案已經就是剛剛講的沒宣並案處理那上面有馬文君委員羅美林委員林益君委員呢跟所提的這個幾項跟喬教的這個文化活動有相關的呢經溝通後都同意照列謝謝各位委員來各位有沒有意見來請馬文君委員 |
transcript.whisperx[358].start |
12957.287 |
transcript.whisperx[358].end |
12985.608 |
transcript.whisperx[358].text |
我們剛好兩個案子我們都同意照列5356都同意照列不過在像沖石海外華僑文教服中心住外單位這個文化跟民俗器材因為剛開始來談的時候它執行率比較低可能不到4成可是到最後12月的時候其實大概執行率就把它補足可是好像都是買原住民的服裝 |
transcript.whisperx[359].start |
12986.468 |
transcript.whisperx[359].end |
12986.528 |
transcript.whisperx[359].text |
羅美玲委員 |
transcript.whisperx[360].start |
13006.523 |
transcript.whisperx[360].end |
13024.596 |
transcript.whisperx[360].text |
我的54案其實跟其他委員的這個提案內容是不一樣的我是針對這個僑生的對全球僑校學生的這個僑生歌唱比賽因為我們覺得說這應該要做推廣其實對於這個僑生歌唱比賽其實這孩子的素質其實都很高的 |
transcript.whisperx[361].start |
13024.656 |
transcript.whisperx[361].end |
13024.996 |
transcript.whisperx[361].text |
我請教一下,什麼樣的版權問題可以一個月? |
transcript.whisperx[362].start |
13052.632 |
transcript.whisperx[362].end |
13057.208 |
transcript.whisperx[362].text |
因為有版權應該是應該連一次都不行只會有一個月可以 |
transcript.whisperx[363].start |
13058.517 |
transcript.whisperx[363].end |
13064.762 |
transcript.whisperx[363].text |
因為這幾年我們的歌唱比賽初賽跟複賽都是在線上AI只有決賽的部分是有實體比賽那實體比賽的時候因為我們是委託某一個這個比如說電視台啦或者某一個影劇公司所以他來籌辦這個活動的時候其實我們跟他有簽約啦就是說影片上我們是可以播放的但是我們不能下推廣就是這樣子 |
transcript.whisperx[364].start |
13085.879 |
transcript.whisperx[364].end |
13087.12 |
transcript.whisperx[364].text |
二、審查114年度中央政府總預算案附屬單位預算 |
transcript.whisperx[365].start |
13096.403 |
transcript.whisperx[365].end |
13096.423 |
transcript.whisperx[365].text |
委員長( |
transcript.whisperx[366].start |
13123.516 |
transcript.whisperx[366].end |
13124.216 |
transcript.whisperx[366].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[367].start |
13144.201 |
transcript.whisperx[367].end |
13160.532 |
transcript.whisperx[367].text |
好沒關係既然委員都同意我們剛才是53到57案同意照列但是剛才委員詢問的部分雖然你不用書面報告其實這個你辦了一個活動尤其是跨國競的網路上的點閱率其實就觸及率了 |
transcript.whisperx[368].start |
13161.312 |
transcript.whisperx[368].end |
13170.877 |
transcript.whisperx[368].text |
我覺得觸及力現在是common sense了我看這樣子好了啦因為我在想說因為這個案就就提案就只有我在提喔我在想是不是還是一樣動少一點沒關係本來我就動不多了啦就50萬而已是不是可以動少一點然後還是或者我們針對你的部分來弄一個主決議好不好就是說你對我們事實上這個是因為這是活動之後的這樣子啊那個羅美林委員的提案 |
transcript.whisperx[369].start |
13188.891 |
transcript.whisperx[369].end |
13189.451 |
transcript.whisperx[369].text |
五十八案到六十八案請僑委會說明 |
transcript.whisperx[370].start |
13212.388 |
transcript.whisperx[370].end |
13224.44 |
transcript.whisperx[370].text |
五十八到六十八當中有沒宣的部分就並案處理那針對五八、六五、六七、六八分別有這個同意凍結一百書面報告後凍支那這當中有包括我們 |
transcript.whisperx[371].start |
13238.072 |
transcript.whisperx[371].end |
13253.015 |
transcript.whisperx[371].text |
六十五案的馬文君委員六十七案的也是馬文君委員六十八案的陳冠廷委員以及五十八案的徐小新委員其實徐小新委員那個好像也是沒宣的吧 |
transcript.whisperx[372].start |
13253.696 |
transcript.whisperx[372].end |
13269.487 |
transcript.whisperx[372].text |
對阿所以那個案58應該去掉所以是656768三桿合併動機一把來羅美玲委員我63應該也是喔63是不是也是沒宣的部分是嗎你寫的不是啊行銷宣傳你寫行銷培訓這樣好不好宣傳行銷業務這個有關來馬文君委員 |
transcript.whisperx[373].start |
13275.261 |
transcript.whisperx[373].end |
13281.783 |
transcript.whisperx[373].text |
這個有同一病棟可是我可能也要稍微提一下就這個部分因為僑校跟國內教育機構有合開線上的課程那它補助的情況在111年有4600多人112年就變成 |
transcript.whisperx[374].start |
13291.826 |
transcript.whisperx[374].end |
13307.197 |
transcript.whisperx[374].text |
一千兩百人到一百一十三年甚至下滑到七百八十幾人所以他人數一直驟減然後可能像這樣的執行率也沒有達到我們預期的效益這個部分可能也要再考量一下他當時的一個執行方式 |
transcript.whisperx[375].start |
13310.279 |
transcript.whisperx[375].end |
13311.12 |
transcript.whisperx[375].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬 |
transcript.whisperx[376].start |
13327.398 |
transcript.whisperx[376].end |
13329.34 |
transcript.whisperx[376].text |
關於僑務委員會主管收支公開及基金.(僑務委員會主管信託基金 |
transcript.whisperx[377].start |
13350.681 |
transcript.whisperx[377].end |
13378.587 |
transcript.whisperx[377].text |
針對60案的這個部分我國掌握在大陸孔子學院遭各國退場的契機以各國搶進設立海外華語文學中心所以設定目標以美歐地區設立的100所114年度計劃即將結案提醒僑委會追求設立數量外後續要更注意到華語為學習中心的品質若是對教學品質的不佳 |
transcript.whisperx[378].start |
13380.948 |
transcript.whisperx[378].end |
13400.562 |
transcript.whisperx[378].text |
來輔導及退場好不好我這邊改動一百萬好來處理預算的部分除了梅宣並案處理以外我們58到68案是不是以陳永康委員的提案為主提案我們並案凍結一百萬元書面報告後使得凍支好同意 |
transcript.whisperx[379].start |
13408.089 |
transcript.whisperx[379].end |
13415.638 |
transcript.whisperx[379].text |
所以就是從58到68全部併案然後併案凍結100萬以陳永康委員的提案為主條沒錯接下來是69案到71案來敲尾會說明 |
transcript.whisperx[380].start |
13425.002 |
transcript.whisperx[380].end |
13440.995 |
transcript.whisperx[380].text |
這部分是委員關心有關於僑生的流用標準的問題那這部分我們一定一直有在精進那確實今年的這個評點流用人數的部分有在大幅增加我們未來其實這個評點是已經要日落了所以將來企業在僱用人的這個門檻就會下降你什麼時候日落 |
transcript.whisperx[381].start |
13447.08 |
transcript.whisperx[381].end |
13454.387 |
transcript.whisperx[381].text |
這個就是等那個勞動部公佈這是勞動部的規範不是我們的規範我們一直跟他們溝通我們說你們我們已經讓他們把那個上限的門檻拿掉然後現在又希望說他們未來他們現在是搭配那個中間人力的那個條例修法那個修法一通過這個就同時落日就是以他修法通過的日子為落日的日子對當時是這樣講的好那個羅美林委員 |
transcript.whisperx[382].start |
13472.705 |
transcript.whisperx[382].end |
13502.157 |
transcript.whisperx[382].text |
那評點誌好像今年已經落日了還沒有落日還沒有落日它是要搭配那個中階的人力的條例計畫一起配合落日對可是我印象當中它好像上線結束了啦就是天花板拿掉啦因為天花板我講了兩年他們終於同意了然後但是日落整個評點誌是要等那個中階的條例修正通過我們才能一起配合 |
transcript.whisperx[383].start |
13502.597 |
transcript.whisperx[383].end |
13525.894 |
transcript.whisperx[383].text |
那個69到71案看起來大家是同意照列因為評點制大家關心很久那也要搭配勞動部的中階勞工的招募相關的法令所以我剛才我們這個會議記錄要寫很清楚他那個法一通過你們這邊就結束了69到71案同意照列72到74案請說明 |
transcript.whisperx[384].start |
13528.641 |
transcript.whisperx[384].end |
13541.324 |
transcript.whisperx[384].text |
72案到74案主要是針對本會的這個海外信託基金的部分那這個經溝通後呢7273同意並動20萬元然後書面報告後通知謝謝我們陳冠廷委員跟馬文君委員來有沒有要提問來陳冠廷委員請說明 |
transcript.whisperx[385].start |
13550.006 |
transcript.whisperx[385].end |
13578.855 |
transcript.whisperx[385].text |
因為我們看這個收回的成效確實是很不髒本來我們是希望說至少要凍結兩百萬元但是既然已經有了這個我們辦公室已經有了這個同意的話還是希望說委員長能夠來仔細考慮一下這個業務到底是為什麼這麼多回來想要創業的但是都沒有辦法成功然後到最後變成這樣政治待遇這樣是不是請委員長之後把這個金融的部分幫我們補足一下到底是為什麼 |
transcript.whisperx[386].start |
13579.295 |
transcript.whisperx[386].end |
13585.419 |
transcript.whisperx[386].text |
好 我們把這個個案式的內容我們再提供給委員辦公室做參考 謝謝好 來馬文君委員這個部分我們提出來主要大概就是針對我們大概兩年的活動內容主題就是我們的專題講座活動內容其實都差不多比較沒有創新的這種可能做法然後也降低僑台商反國參訪交流的意願 |
transcript.whisperx[387].start |
13608.652 |
transcript.whisperx[387].end |
13609.773 |
transcript.whisperx[387].text |
二、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[388].start |
13630.179 |
transcript.whisperx[388].end |
13630.439 |
transcript.whisperx[388].text |
七十五到七十八案請說明 |
transcript.whisperx[389].start |
13660.41 |
transcript.whisperx[389].end |
13663.951 |
transcript.whisperx[389].text |
75到78是我們針對僑商的業務那有幾個主要三個案子是馬文君委員所提那徐曉信委員那個就是梅軒一樣的那美食的巡迴講座跟臺商的這個產業鏈精品獎的部分還有創意行銷的參網七項活動經跟委員這個溝通之後呢同意併案凍結50萬 |
transcript.whisperx[390].start |
13691.892 |
transcript.whisperx[390].end |
13695.489 |
transcript.whisperx[390].text |
那個馬文君委員其中一案有照列謝謝 |
transcript.whisperx[391].start |
13698.571 |
transcript.whisperx[391].end |
13723.7 |
transcript.whisperx[391].text |
七十六案照列那七十五還有七五、七八這兩個主要是因為我們七十交友會在辦2024台灣美食國際巡迴講座的時候在資料上面顯示說我們舉辦十三場次的教學那參加人數高達一萬一千五百三十一人可是我們從書面報告的那個照片上面看這個有點 |
transcript.whisperx[392].start |
13726.101 |
transcript.whisperx[392].end |
13743.49 |
transcript.whisperx[392].text |
議員.. |
transcript.whisperx[393].start |
13743.49 |
transcript.whisperx[393].end |
13747.053 |
transcript.whisperx[393].text |
像我們在美國有一些叫做台灣日的活動台灣yes然後文化節那這個呢動輒他們都是參與的活動人數上千上萬你那個巡迴講座你把別人辦的活動然後我們去參與的時候那不是我們的啊 |
transcript.whisperx[394].start |
13762.887 |
transcript.whisperx[394].end |
13763.728 |
transcript.whisperx[394].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[395].start |
13792.384 |
transcript.whisperx[395].end |
13814.83 |
transcript.whisperx[395].text |
不是拉掉啦那個馬委員的意思我大概懂了比如說我辦個美食講座我跑去那個波士頓馬拉松的話我開玩笑我這個活動十萬人參加但是那個意義不大反而就是說你參加什麼活動這個活動本身比方說有一萬人參加但是我們的講座呢現場有數百人這個可能矜持一點大家反而好處 |
transcript.whisperx[396].start |
13815.67 |
transcript.whisperx[396].end |
13834.497 |
transcript.whisperx[396].text |
委員這個提示我剛剛上個禮拜才跟會內同仁特別提醒過我說你們報回來那個數字我一看我也覺得不太可能不是要你們不是要你們迴避參加大活動當然要掛在人家大活動啊是人家樹大樹樹蔭大我們得利也大嘛但是在報告的時候可能把它寫得精準一點對 |
transcript.whisperx[397].start |
13835.097 |
transcript.whisperx[397].end |
13850.212 |
transcript.whisperx[397].text |
好我們75到78案以馬文君委員提案的第75案為主提案並案凍結50萬那書面報告後使得凍資77案沒宣的部分我們就合併待會再一併處理好再來處理79到85案請說明 |
transcript.whisperx[398].start |
13854.578 |
transcript.whisperx[398].end |
13875.228 |
transcript.whisperx[398].text |
七十九到八十五案基本上是信託基金的業務那信託基金事實上我們待藏餘額近年來其實沒有微幅上升那我們信託基金的實際目的不是我們貸款給 |
transcript.whisperx[399].start |
13878.129 |
transcript.whisperx[399].end |
13879.19 |
transcript.whisperx[399].text |
二、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[400].start |
13894.046 |
transcript.whisperx[400].end |
13895.847 |
transcript.whisperx[400].text |
二、審查114年度中央政府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 |
transcript.whisperx[401].start |
13920.199 |
transcript.whisperx[401].end |
13936.377 |
transcript.whisperx[401].text |
對這個針對這個非洲計劃是在政府的重大政策但卻有先事件後劃把的一個問題所以雖然政府曾非洲商機非常的龐大但近年來我國對非洲貿易卻有衰退的顯示顯然非洲計劃 |
transcript.whisperx[402].start |
13937.718 |
transcript.whisperx[402].end |
13956.758 |
transcript.whisperx[402].text |
並未能發揮效能如今賴政府計劃要進一步推動非洲計劃2.0僑商經濟是僑委會最重要的業務僑委會也應該注意到要如何協助非洲僑商推廣的一個商機跟契機好不好所以改動10萬塊 |
transcript.whisperx[403].start |
13957.932 |
transcript.whisperx[403].end |
13984.633 |
transcript.whisperx[403].text |
好謝謝黃仁委員提醒好79-85案除了84案是併入梅宣一併處理有兩個梅宣8384都是對然後8282馬委員同意照列沒關係我來處理8384併入梅宣的案子來處理那79-85案以黃仁委員的79案為主題案那合併凍結10萬元書面報告後使得凍支 |
transcript.whisperx[404].start |
13987.896 |
transcript.whisperx[404].end |
14010.353 |
transcript.whisperx[404].text |
好接下來來處理86到88案請說明86案87案88案是屬於沒宣部分那就並案處理那87案經過溝通以後馬委員的指導同意改為主決議然後86案馬委員也同意照列非常感謝 |
transcript.whisperx[405].start |
14012.814 |
transcript.whisperx[405].end |
14034.065 |
transcript.whisperx[405].text |
我們86到88案88案併入梅宣的山洞的處理那86個案這個同意照列87案改組決議接下來處理89案我先跟在場的委員溝通一下我們處理到晚再吃飯好我們把它處理完來大家沒有意見啦好來89案到101案請說明 |
transcript.whisperx[406].start |
14040.257 |
transcript.whisperx[406].end |
14059.564 |
transcript.whisperx[406].text |
八十九案到一百零一案都是針對著我們僑生的這個擴大培育計畫主要都是產息專班的部分那麼扣除一百案是沒宣這個抽出病案處理之外其餘的經溝通後呢同意凍結一百書面報告後凍支 |
transcript.whisperx[407].start |
14064.183 |
transcript.whisperx[407].end |
14091.156 |
transcript.whisperx[407].text |
來黃元委員然後接下來馬文君再來羅美林林益君好來開始針對92案現行的評點制經各界反映已有所放寬但本席提醒評點評點制放寬後可能會浮生出新的問題交委會應該隨時注意到僑生留台就業的權益並以僑生留台就業前確保能夠了解我國勞動權益 |
transcript.whisperx[408].start |
14093.017 |
transcript.whisperx[408].end |
14119.486 |
transcript.whisperx[408].text |
法規以申訴的管道所以改動為一百萬好接下來馬文君委員謝謝主席這個大概9798101這個部分其實有一些大概都是針對產學專班就這個計值還有我們在大學的這個部分其實我們大概是包括這樣子的預算 |
transcript.whisperx[409].start |
14121.51 |
transcript.whisperx[409].end |
14122.35 |
transcript.whisperx[409].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案 |
transcript.whisperx[410].start |
14143.882 |
transcript.whisperx[410].end |
14147.785 |
transcript.whisperx[410].text |
事實的簡略然後也要說明清楚因為這樣對我們台灣的學生或者相關的這樣子的一個教育或福利是不是會有衝擊因為我們把這麼大筆的預算用在非僑生的身上我覺得這個不是很恰當所以這個部分我們希望可以有三棟然後也要把這個部分的執行狀況要說明清楚 |
transcript.whisperx[411].start |
14172.944 |
transcript.whisperx[411].end |
14201.722 |
transcript.whisperx[411].text |
那我事後來補充資料到委員辦公室進一步說明那個減劣數因為我看到的共識是沒有減劣數啦馬委員有沒有建議數我是減一千啦全部一起並動啦全部一起並動啦沒有你要減劣因為你增加太多你增加一億七千八百多萬委員我們今年這是非常高的金額因為沒有我們很清楚的對象不是我們原來的對象因為你增加的人數太多了 |
transcript.whisperx[412].start |
14202.142 |
transcript.whisperx[412].end |
14216.948 |
transcript.whisperx[412].text |
所以就這個簡略數我們還是希望可以就這個部分可能還是要把它說明清楚來我們待會討論那個委員長先稍後來羅美玲委員好那我的93案就主要還是針對3加4的這個產系專班 |
transcript.whisperx[413].start |
14222.255 |
transcript.whisperx[413].end |
14245.552 |
transcript.whisperx[413].text |
這個裏面的這個內容我有跟委員長其實做了很多的探討上次我們有提到僑外生的語言問題是造成學習障礙那再來今天我們也檢討了這個教學的這個品質真的是非常的這個堪慮那再來其實還有好多好多的事情其實都需要這個我們僑友會這邊用心比如說招生招生的這個仲介化也是非常的這個嚴重雖然說今年我們有 |
transcript.whisperx[414].start |
14246.252 |
transcript.whisperx[414].end |
14248.433 |
transcript.whisperx[414].text |
二、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[415].start |
14274.266 |
transcript.whisperx[415].end |
14274.406 |
transcript.whisperx[415].text |
林益鈞委員 |
transcript.whisperx[416].start |
14285.798 |
transcript.whisperx[416].end |
14297.207 |
transcript.whisperx[416].text |
謝謝主席因為我知道僑委會這幾年來其實配合政府的新南向政策擴大了產息僑生的專班三家式的教育體制但是問題是113年度的產學專班的開班類科和招收人數雖然112年有一點點成長但是還是不如預期而且僑委會應該要如何精進才能落實僑生還要留用的制度這個很重要而且它開辦的僑生專班其實 |
transcript.whisperx[417].start |
14311.237 |
transcript.whisperx[417].end |
14311.857 |
transcript.whisperx[417].text |
來 我來處理一下好不好 |
transcript.whisperx[418].start |
14324.837 |
transcript.whisperx[418].end |
14351.174 |
transcript.whisperx[418].text |
我還是要提醒僑務委員會不容許有扣護照的情形一定要提醒他們如果再犯的話那是移送法辦國際人權組織都在看這件事情這個不能犯也不容許以僑生之名義來台灣變奴工這個更不可以也不能以僑生的名義迴避我們不管是移工或勞基法相關規定我相信委員長對這方面也很重視 |
transcript.whisperx[419].start |
14354.636 |
transcript.whisperx[419].end |
14360.757 |
transcript.whisperx[419].text |
先處理三檢的部分以馬文君委員的提案為主提案檢列一百萬元因為他調得太高了啦然後對象因為沒有講清楚啊那時候來也大概沒有針對這個部分可以說明清楚我跟委員報告 |
transcript.whisperx[420].start |
14383.242 |
transcript.whisperx[420].end |
14391.188 |
transcript.whisperx[420].text |
還有之前大家所質疑的包括到學校哪些學校然後去做什麼樣的課程還有工作你們的數字因為我還講200看馬委員不同意你們是不是能夠接受的簡列數額 |
transcript.whisperx[421].start |
14403.494 |
transcript.whisperx[421].end |
14425.096 |
transcript.whisperx[421].text |
跟委員報告我們今年事實上在學費補助上我們已經不夠錢我們還去要了第二預備金了所以如果因為這些學生都已經進來讀書了事實上我們是超標我們今年是超過我們原來預計招生的額數所以我們今年預算又不夠然後如果再三減明年預算我們明年就變成更不夠不是要讓你們動不了 |
transcript.whisperx[422].start |
14426.297 |
transcript.whisperx[422].end |
14449.725 |
transcript.whisperx[422].text |
因為他明年是增加一億七千多萬你今年不夠你今年沒有這麼高額其實我們幫你的檢列數已經不高了我們剛才強調的重點是你這些學生的來源我們為什麼要編這樣的預算去補貼他來這裡這樣的念書你是幫學校找學生還是什麼當時你回答我的時候不是僑生 |
transcript.whisperx[423].start |
14456.087 |
transcript.whisperx[423].end |
14459.309 |
transcript.whisperx[423].text |
委員長請你記住你曾經跟我講的不是僑生因為你僑生的認定你從一千多人突然暴增到這麼多人你變成兩萬多人你認定的僑生的來源是怎麼來的我覺得這個是會有一些問題所以沒有辦法說明清楚我們才會覺得說你在增加這麼多的金額預算上面是非常高的我來一個妥協的版本好不好就是說呢我們 |
transcript.whisperx[424].start |
14483.847 |
transcript.whisperx[424].end |
14495.876 |
transcript.whisperx[424].text |
兩百,然後我們就是說我們我們就他寫兩百都不同意了怎麼可能同意動兩百是不是委員你要動一千的意思嗎是不是你要動一千是不是這個意思 |
transcript.whisperx[425].start |
14499.653 |
transcript.whisperx[425].end |
14506.137 |
transcript.whisperx[425].text |
不要減劣啦就動一清啦不要減劣啦因為你減劣數因為一減劣我們明年可能又要去要二倍金了因為學生已經進來了現在這個錢是要付你這個是一年度一年度要延續對它一直累積上去的你進來學生越多我一定要增加這麼多否則我不可能說這些學生還沒有畢業我都不付他學費啦 |
transcript.whisperx[426].start |
14519.406 |
transcript.whisperx[426].end |
14519.646 |
transcript.whisperx[426].text |
二、審查一、審查一、審查一、審查一、 |
transcript.whisperx[427].start |
14549.406 |
transcript.whisperx[427].end |
14553.49 |
transcript.whisperx[427].text |
因為那都是一個蘿蔔一個坑我們不可能說那有多少學生呢我從2022年開始2022年進來的這個學生呢一個人要補助將近三萬塊然後他的人數是兩千多人然後到了去年是四千多人到了今年是六千多人所以第一年的時候我只要付兩千人的學費就好了 |
transcript.whisperx[428].start |
14573.328 |
transcript.whisperx[428].end |
14583.663 |
transcript.whisperx[428].text |
第二年我除了2000我還要再加4000多變成6000多那今年又增加6000多我明年要付12000多然後我明年又要再增加6000多我就變成要 |
transcript.whisperx[429].start |
14585.512 |
transcript.whisperx[429].end |
14586.753 |
transcript.whisperx[429].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預算案附屬單位 |
transcript.whisperx[430].start |
14615.405 |
transcript.whisperx[430].end |
14622.57 |
transcript.whisperx[430].text |
主席記得的話趙薇記得的話我們那時候其實針對他們保健單位他們在推薦的時候其實是非常嚴謹的那時候都只有一兩千人你突然一直增加然後暴增到這麼多我們覺得你的來源我們那時候你們跟我們說他只要學生願意來就好了你們是這麼說的我們不是說僑生那僑生的認定是怎麼認定的呢這怎麼認定的從哪裡來的對 |
transcript.whisperx[431].start |
14644.665 |
transcript.whisperx[431].end |
14664.303 |
transcript.whisperx[431].text |
那個我看這樣好不好馬委員我來這樣處理分別以陳永康委員跟那個沈伯陽委員各凍結五百萬就是一千你這邊減劣我們減劣兩百減劣數太少你增加了一億多我不知道對啊好啦你五百好了 |
transcript.whisperx[432].start |
14670.959 |
transcript.whisperx[432].end |
14673.48 |
transcript.whisperx[432].text |
委員我跟委員報告我們今年已經公告所有的學校 |
transcript.whisperx[433].start |
14687.807 |
transcript.whisperx[433].end |
14691.87 |
transcript.whisperx[433].text |
委員長不好意思那我又要去我們所有只要你們提出來我們預算都要照列那我們不用審啊你今天如果說你在這個部分是有問題是說金額不要差距那麼大啦五百萬有很大嗎你增加一億七千多萬欸你們今年跟去年增加數額多少 |
transcript.whisperx[434].start |
14715.734 |
transcript.whisperx[434].end |
14718.316 |
transcript.whisperx[434].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位預算案附屬單位 |
transcript.whisperx[435].start |
14744.994 |
transcript.whisperx[435].end |
14745.014 |
transcript.whisperx[435].text |
委員應該這樣說 |
transcript.whisperx[436].start |
14767.032 |
transcript.whisperx[436].end |
14774.197 |
transcript.whisperx[436].text |
我們回到本質如果不是僑生如果你現在進來的被發現如果你要這樣算你一直說你們全部都是僑生如果我們查到那個如果不是你們要怎麼做如果我們要這麼嚴格來實行這個部分的話 |
transcript.whisperx[437].start |
14784.164 |
transcript.whisperx[437].end |
14785.566 |
transcript.whisperx[437].text |
委員長我提一下啦就做這件事情對我們國家好處在哪裡 |
transcript.whisperx[438].start |
14802.04 |
transcript.whisperx[438].end |
14804.341 |
transcript.whisperx[438].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管信託基金.. |
transcript.whisperx[439].start |
14819.485 |
transcript.whisperx[439].end |
14822.467 |
transcript.whisperx[439].text |
二、審查114年度中央政府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 |
transcript.whisperx[440].start |
14848.223 |
transcript.whisperx[440].end |
14851.784 |
transcript.whisperx[440].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分 |
transcript.whisperx[441].start |
14865.458 |
transcript.whisperx[441].end |
14865.818 |
transcript.whisperx[441].text |
第89案到100(委員 |
transcript.whisperx[442].start |
14892.017 |
transcript.whisperx[442].end |
14921.223 |
transcript.whisperx[442].text |
我這樣子啦我跟馬委員承諾我明年延審你這樣承諾是不代表你今年沒有延審不是不是這樣不好啦我讓你們私下去溝通啦89案到101案凍結數的部分分別以陳永康委員的第91案以及沈伯陽委員的第99案分別凍結500萬但是怎麼併案麻煩醫生們抓一下同樣可不可以把它抓在一起不要讓我去分配啦抓起來 |
transcript.whisperx[443].start |
14922.624 |
transcript.whisperx[443].end |
14944.283 |
transcript.whisperx[443].text |
至於檢列數的部分馬文君委員的提案檢列數在哪裡在第98案他檢列數剛好就是500至於是不是要檢列到500你們這個案子請提醒我一下我們最後再回頭來處理羅美玲委員主席我可以堅持93案另外動嗎為什麼 |
transcript.whisperx[444].start |
14950.972 |
transcript.whisperx[444].end |
14968.414 |
transcript.whisperx[444].text |
委員我願意幫忙再處理主決議來加強這樣子因為病案處理之後你的案子也在裡面他的說明也要涵蓋也要做說明處理那我有注意到各位委員的平衡那個沈博洋委員 |
transcript.whisperx[445].start |
14969.555 |
transcript.whisperx[445].end |
14991.397 |
transcript.whisperx[445].text |
我快速講一下因為就是剛剛在質詢裡面有問到的我的99案然後就是到最後再幫忙給我一個書面就是因為最主要是僑生他退學的變多了所以就是這一個到底要怎麼去改進就只是希望知道這個部分而已謝謝他們退學了還留在這裡嗎還是就回僑居地馬上一退學一沒有學籍馬上就要回去不能留在這邊那個陳委員是不是可以說明一下你說退學很多是多少 |
transcript.whisperx[446].start |
14994.281 |
transcript.whisperx[446].end |
15021.9 |
transcript.whisperx[446].text |
我忘記確切的數字了那他就看到他是提高的早期我們基數是低啦所以那個看起來比例是高啦但是我們近年啦因為數額總計是高那退學的反而是少所以我的意思說你們思考一下如果你們退學的比例有一個比例那馬委員剛才的簡列500萬如果可以cover的過去我覺得我們現在就現在就把它處理掉我尊重馬委員啦好不好我尊重馬委員對這個案子我其實 |
transcript.whisperx[447].start |
15025.583 |
transcript.whisperx[447].end |
15049.962 |
transcript.whisperx[447].text |
八十九案到一百零一案本席宣告如下分別有兩個凍結案以陳永康委員的第九十一案合併委員處理凍結五百萬另外一個凍結案是沈伯洋委員的第九十九案一樣凍結五百萬合併委員提案處理這一個書面報告請涵蓋不管是羅美玲委員或相關委員的提案 |
transcript.whisperx[448].start |
15051.063 |
transcript.whisperx[448].end |
15070.074 |
transcript.whisperx[448].text |
隨詢一定要涵蓋在說明內書面報告後這個我們就精同意使得動之那另外檢列案的部分以馬文君委員的第98案為主題案檢列500萬元科目自行調整接下來處理102案到103案 |
transcript.whisperx[449].start |
15075.482 |
transcript.whisperx[449].end |
15094.751 |
transcript.whisperx[449].text |
一百零二案的部分經跟馬委員討論同意改為主決議一百零三案徐曉新委員是媒體廣宣所以併案媒體廣宣的話我先詢問在場委員意見因為含蓋的分支計劃跨了太多計劃 |
transcript.whisperx[450].start |
15095.811 |
transcript.whisperx[450].end |
15098.993 |
transcript.whisperx[450].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分 |
transcript.whisperx[451].start |
15111.741 |
transcript.whisperx[451].end |
15113.464 |
transcript.whisperx[451].text |
二、審查114年度中央政府總預算案附屬單位預算關於僑務委員會主管收支公開及機密部分 |
transcript.whisperx[452].start |
15128.044 |
transcript.whisperx[452].end |
15129.626 |
transcript.whisperx[452].text |
各位有沒有意見? |
transcript.whisperx[453].start |
15143.923 |
transcript.whisperx[453].end |
15160.788 |
transcript.whisperx[453].text |
這個案子要給徐曉欣委員因為它是全部併案一起16案的那可以啊那檢列案檢列案是要徐曉欣這樣好了檢列案以徐曉欣委員的可是他在前面我現在只要我用後面分支計畫會很麻煩嗯 |
transcript.whisperx[454].start |
15170.247 |
transcript.whisperx[454].end |
15195.935 |
transcript.whisperx[454].text |
此案只在112我們到112的時候一併處理就可以了好不好委員他要檢列還是凍結他要檢列100那凍結案用林益君委員的第一案來做凍結100萬元好不好林委員用他做凍結那其他相關的沒宣的凍結案我們的需要說明的都把它併到這裡面來但是後面有關凍結的我們就等於是同一照列待會檢列案我們會用112案徐曉清委員來做檢列案 |
transcript.whisperx[455].start |
15200.708 |
transcript.whisperx[455].end |
15201.728 |
transcript.whisperx[455].text |
102就遵照馬委員建議我們也改為主決議103案是病案104案也是媒體也是病案 |
transcript.whisperx[456].start |
15224.049 |
transcript.whisperx[456].end |
15247.945 |
transcript.whisperx[456].text |
來本席再重新宣告大家我處理的方式應該老同事都知道了盡量就是達到監督也盡量平衡剛才89案到101案我是不是把它拆成因為1000萬嘛我拆成三個案子一個是陳永康委員的來凍結這個300然後另外一個是陳伯陽委員凍結300然後羅美玲委員的凍結400這樣好不好 |
transcript.whisperx[457].start |
15253.008 |
transcript.whisperx[457].end |
15254.13 |
transcript.whisperx[457].text |
二、審查114年度中央政府總預算 |
transcript.whisperx[458].start |
15267.927 |
transcript.whisperx[458].end |
15274.55 |
transcript.whisperx[458].text |
八十九案到一百零一案分別以九十一陳永康委員的提案凍結三百萬九十三案的羅美玲委員凍結四百萬 |
transcript.whisperx[459].start |
15296.294 |
transcript.whisperx[459].end |
15316.694 |
transcript.whisperx[459].text |
九十九案的沈伯陽委員凍結三百萬至於合併的方式請醫生員自己抓了簡略案呢以前面的話書面報告經同意後使得凍支簡略案的部分以馬文君委員的第九十八案為簡略案簡略五百萬元呵募自行調整 |
transcript.whisperx[460].start |
15317.435 |
transcript.whisperx[460].end |
15346.615 |
transcript.whisperx[460].text |
每宣的凍結一百萬的部分以第一案林毅君委員林毅君召委的提案凍結一百萬那書面報告後經同意時的凍支後面的凍結案呢我們把提案的案由放進林毅君委員的提案裡面來一併說明但是後面為了方便醫生們處理等於就是同意招列這樣子好接下來來處理一百零二案到一百零三案請說明 |
transcript.whisperx[461].start |
15348.055 |
transcript.whisperx[461].end |
15361.462 |
transcript.whisperx[461].text |
一百零二案到一百零三案也是針對僑生就業的輔導那經跟馬委員溝通之後同意改為主決議那一百零三案一樣是沒宣的預算並按處理 |
transcript.whisperx[462].start |
15365.516 |
transcript.whisperx[462].end |
15381.925 |
transcript.whisperx[462].text |
一百零二案改組決議一百零三案呢這個凍結部分我們已經該並案處理了好接下來處理一百零四案我們就不處理了這是沒宣案我們待會一併處理一百零五到一百一十三案 |
transcript.whisperx[463].start |
15383.666 |
transcript.whisperx[463].end |
15405.702 |
transcript.whisperx[463].text |
全部都是沒宣我們就用112案徐巧欣委員原則上不在場不處理但是我們今天就是大家有這個默契共識之後我們就不挑戰這一點了好不好各位同仁我們就以徐巧欣委員的112案為簡列案簡列100萬元科目自行調整謝謝委員 |
transcript.whisperx[464].start |
15408.524 |
transcript.whisperx[464].end |
15425.275 |
transcript.whisperx[464].text |
我都沒有跟趙偉報告其中我們有一項是這個黃人委員的案子他不是他不是那個沒宣他改組決議那個113改組決議好不好那個待會宣讀這樣子的話 |
transcript.whisperx[465].start |
15435.7 |
transcript.whisperx[465].end |
15460.221 |
transcript.whisperx[465].text |
這個來來黃立委員請說表示一下針對110案的這個部分為什麼要改出這些因為後來知道就是徵聘一名約用人員專職在提升僑務電子報的效率是不是真的有具體的成效因此特別要求明年的9月前必須要有具體的成果顯現並向本委會提出一個報告 |
transcript.whisperx[466].start |
15461.002 |
transcript.whisperx[466].end |
15469.456 |
transcript.whisperx[466].text |
所以後來我改為組協議本來要動血的改為組協議以後到我的案子 |
transcript.whisperx[467].start |
15470.373 |
transcript.whisperx[467].end |
15494.279 |
transcript.whisperx[467].text |
一百一十七到一百二十都改為主決議以上謝謝一百一十七到一百二十他本來就主決議黃仁委員的一百一十案改主決議所以我們現在新增主決議十一案一二零至一到一二九我們先請宣讀新增的主決議部分有沒有準備好有的話來請宣讀 |
transcript.whisperx[468].start |
15497.332 |
transcript.whisperx[468].end |
15522.854 |
transcript.whisperx[468].text |
第120之一案有介與僑委會至106年起及發行僑包卡為發行量偏低影響支援使用效益建議僑委會為協助花蓮0403災後經濟振興亦應積極主動納入花東地區等各觀光景點為特約商店並振興國內觀光提案人委員林奕君等人 |
transcript.whisperx[469].start |
15523.815 |
transcript.whisperx[469].end |
15528.757 |
transcript.whisperx[469].text |
第121案經查僑委會綜合規劃業務工作計劃向下國內慶典活動接待服務分支計劃編列預算1930萬元主要為配合政府整體政策每年接待僑胞參加雙十國慶大會國慶晚會及燕活等大型活動僑委會列為國慶晚會主辦單位之一應緊急與承辦縣市政府協調爭取僑胞相關 |
transcript.whisperx[470].start |
15552.769 |
transcript.whisperx[470].end |
15581.358 |
transcript.whisperx[470].text |
之權益提供充分座位數並給予安排席次以利更多僑胞返臺參與盛事提案人委員徐巧欣等人。第122案我國於2022年1月1日成立全民防衛動員署作為整合跨部會徹徑各項動員之啟動單位僑委會作為海外僑胞聯繫之第一線臺海情勢發生時摺物旁帶成為連接海內外各種聯繫及其他管 |
transcript.whisperx[471].start |
15582.078 |
transcript.whisperx[471].end |
15608.009 |
transcript.whisperx[471].text |
業務管道事務之重責單位予以及早規劃相關事宜提案人委員沈伯陽等人。第123案為鼓勵僑民在海外懸掛中華民國國旗僑委會應持續提供海外各地所需之中華民國國旗及胸章可適時提供中華民國國旗或國旗胸章之樣式以立僑團在海外自行自作。提案人委員習曉新等人。第124案 |
transcript.whisperx[472].start |
15610.487 |
transcript.whisperx[472].end |
15625.235 |
transcript.whisperx[472].text |
僑委會目前在歐洲未設置僑教中心不利推動布局華語文教育市場。僑委會為服務全球僑胞予以事實研議並考量偵涉華僑文教服務中心之可行性。提案人為馬文君等人。 |
transcript.whisperx[473].start |
15626.235 |
transcript.whisperx[473].end |
15630.197 |
transcript.whisperx[473].text |
第125案僑委會辦理海外華語文學習深耕計畫112年僑委會輔助臺灣華語文學習中心開辦372班次學生2912人次雖然開辦班次及學生人次已達到預期目標為僑委會原先規劃目標值並不吻合建請僑委會應確實評估掌握臺灣華語文學習中心教材之需求及使用情形 |
transcript.whisperx[474].start |
15655.126 |
transcript.whisperx[474].end |
15669.374 |
transcript.whisperx[474].text |
提案人委員陳冠廷等人第126案僑委會辦理臺灣華語教學國際高峰會旨在結合政府與民間支援等場觀學力量對外推廣臺灣華語文教學的優勢同時輔助海外僑校及臺灣華語文 |
transcript.whisperx[475].start |
15674.497 |
transcript.whisperx[475].end |
15694.051 |
transcript.whisperx[475].text |
學習中心在地深耕發展僑委會為辦理臺灣華語文教學國際高峰會應著重邀請海外參與者擴大並提升海外參與之人數以促進海內外華語文教學連結與合作之目標提案人為馬文君等人。第126支議案 |
transcript.whisperx[476].start |
15695.753 |
transcript.whisperx[476].end |
15705.355 |
transcript.whisperx[476].text |
僑委會舉辦全球僑校學生及僑生歌唱大賽行之有年僑委會需積極擬定計劃加強及宣導提案人委員羅美林等人 |
transcript.whisperx[477].start |
15706.867 |
transcript.whisperx[477].end |
15729.641 |
transcript.whisperx[477].text |
第127案僑委會從110年起開始辦理全球青商潛力之心選拔及輔導活動該活動有無落實輔導青商事業發展凝聚青商對我之向心力不無疑議明年舉辦如何發揮預算效益與積極研討經濟措施提案委員馬文君等人第128案 |
transcript.whisperx[478].start |
15731.986 |
transcript.whisperx[478].end |
15740.196 |
transcript.whisperx[478].text |
僑委會114年度僑生回國升學及僑親培訓嚴刑(輔導海外僑生來臺升學及畢業留臺業務費編列479萬元(僑委會應討為徹徑相關僑生回國升學輔導機制(以為僑生就學資品職提案人為馬文君等人 |
transcript.whisperx[479].start |
15750.928 |
transcript.whisperx[479].end |
15776.045 |
transcript.whisperx[479].text |
第129案114年度僑委會預算案與第7目僑務新聞資訊及傳媒服務向下..辦理僑務新聞資訊及傳媒服務中業務費之約用人員籌金預算編列80萬元..有關新增用人力後之相關辦理成果..請僑委會於9個月內向立法院外交及國防委員會提出書面報告提案人委員黃仁等人宣讀完畢 |
transcript.whisperx[480].start |
15778.24 |
transcript.whisperx[480].end |
15792.044 |
transcript.whisperx[480].text |
在處理組決議之前本席剛才107案跟徐嘉欣委員參詳我們沒宣再多凍結50萬林益君你的100萬我不凍我另外多凍50萬107案徐嘉欣委員長OK我們107案就是凍結50萬該組決議已經宣讀完畢 |
transcript.whisperx[481].start |
15803.735 |
transcript.whisperx[481].end |
15821.987 |
transcript.whisperx[481].text |
要書面報告後使得動之不用經同意使得動之就好了那現在有關主決議我建議那個僑委會溝通好就說照案辦理那如果有修正文字就照文字修正照案辦理阿如果有意見再提出來好不好好我們來處理主決議從第114案開始來114案僑委會來用麥克風回答 |
transcript.whisperx[482].start |
15828.412 |
transcript.whisperx[482].end |
15832.675 |
transcript.whisperx[482].text |
同意照案辦理115案同意照案辦理116案同意照案辦理117案同意照案辦理118案同意照案辦理119案照案辦理120案經修正後照修正意見 |
transcript.whisperx[483].start |
15850.697 |
transcript.whisperx[483].end |
15866.834 |
transcript.whisperx[483].text |
遵照辦理第120案建議文字修條照文字修正後處理再來照文字修正後通過第120之一案這林益君委員的案同意遵照辦理我們照案通過第121案 |
transcript.whisperx[484].start |
15872.332 |
transcript.whisperx[484].end |
15881.224 |
transcript.whisperx[484].text |
同意遵照辦理好我們照案通過122案同意辦理照案通過123案同意辦理照案通過124案同意辦理照案通過125案同意辦理照案通過126案 |
transcript.whisperx[485].start |
15891.658 |
transcript.whisperx[485].end |
15903.729 |
transcript.whisperx[485].text |
稍微一下看一下126案可以照案通過好照案通過你們是照案辦理我是照案辦理沒關係來126-1之一看一下羅美玲委員的案同意同意啦照案通過來127案同意照案辦理好照案通過128案 |
transcript.whisperx[486].start |
15918.66 |
transcript.whisperx[486].end |
15947.566 |
transcript.whisperx[486].text |
同意照案辦理好照案通過129案好好看喔最後一案喔有9個月可以同意照案辦理好照案辦理好大家辛苦哈114年度中央政府總預算案關於僑務委員會收支公開及機密部分業已審查完略送請財政委員會會長後提報院會請問院會審議前是否需交由黨團學商 |
transcript.whisperx[487].start |
15949.261 |
transcript.whisperx[487].end |
15950.582 |
transcript.whisperx[487].text |
請推派一位委員做補充說明請推派 |
transcript.whisperx[488].start |
15981.311 |
transcript.whisperx[488].end |
15995.033 |
transcript.whisperx[488].text |
好本人甘晚休我們就推派王定宇委員做補充說明本次預算審查如有預算科目物質或金額調整我們授權議事人員處理有沒有意見 |
transcript.whisperx[489].start |
15997.361 |
transcript.whisperx[489].end |
16013.207 |
transcript.whisperx[489].text |
委員會主管兩項信託基金案本日完成報告及詢答我們會擇期繼續審查審查的時候就不再進行詢答了12月16、18、19日三天為一次會我們現在休息 |
transcript.whisperx[490].start |
16031.767 |
transcript.whisperx[490].end |
16048.571 |
transcript.whisperx[490].text |
二、審查114年度中央政府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 |
transcript.whisperx[491].start |
16052.995 |
transcript.whisperx[491].end |
16058.612 |
transcript.whisperx[491].text |
二、審查114年度中央政府總預算案附屬單位預算案附屬單位 |
IVOD_ID |
16371 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Full/1M/16371 |
日期 |
2024-12-16 |
會議資料.會議代碼 |
委員會-11-2-35-22 |
會議資料.屆 |
11 |
會議資料.會期 |
2 |
會議資料.會次 |
22 |
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22次全體委員會議 |
影片種類 |
Full |
開始時間 |
2024-12-16T08:30:00+08:00 |
結束時間 |
2024-12-16T12:57:00+08:00 |
支援功能[0] |
ai-transcript |