iVOD / 17494

Field Value
IVOD_ID 17494
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17494
日期 2026-06-04
會議資料.會議代碼 委員會-11-5-19-16
會議資料.屆 11
會議資料.會期 5
會議資料.會次 16
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.委員會代碼:str[0] 經濟委員會
會議資料.標題 第11屆第5會期經濟委員會第16次全體委員會議
影片種類 Full
開始時間 2026-06-04T08:33:04+08:00
結束時間 2026-06-04T09:43:00+08:00
影片長度 01:09:56
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbce9649e34646bc22aefd5d72e484d8ea807a15c9b8761715068450dda78092f75ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-06-04T09:00:00+08:00
會議名稱 立法院第11屆第5會期經濟委員會第16次全體委員會議(事由:繼續審查115年度中央政府總預算案關於公平交易委員會單位預算及附屬單位預算非營業部分關於公平交易委員會主管:反托拉斯基金。(處理)【6月3日及6月4日二天一次會】)
委員名稱 完整會議
委員發言時間 08:33:04 - 09:43:00
transcript.pyannote[0].speaker SPEAKER_03
transcript.pyannote[0].start 214.83284375
transcript.pyannote[0].end 215.35596875
transcript.pyannote[1].speaker SPEAKER_04
transcript.pyannote[1].start 1669.55909375
transcript.pyannote[1].end 1673.11971875
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 1673.11971875
transcript.pyannote[2].end 1673.15346875
transcript.pyannote[3].speaker SPEAKER_04
transcript.pyannote[3].start 1674.26721875
transcript.pyannote[3].end 1674.28409375
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 1674.28409375
transcript.pyannote[4].end 1674.95909375
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 1675.44846875
transcript.pyannote[5].end 1677.42284375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 1677.52409375
transcript.pyannote[6].end 1677.54096875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 1677.55784375
transcript.pyannote[7].end 1677.74346875
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 1677.81096875
transcript.pyannote[8].end 1686.07971875
transcript.pyannote[9].speaker SPEAKER_04
transcript.pyannote[9].start 1692.23909375
transcript.pyannote[9].end 1692.72846875
transcript.pyannote[10].speaker SPEAKER_04
transcript.pyannote[10].start 1693.06596875
transcript.pyannote[10].end 1694.63534375
transcript.pyannote[11].speaker SPEAKER_04
transcript.pyannote[11].start 1695.19221875
transcript.pyannote[11].end 1703.10659375
transcript.pyannote[12].speaker SPEAKER_04
transcript.pyannote[12].start 1704.20346875
transcript.pyannote[12].end 1705.63784375
transcript.pyannote[13].speaker SPEAKER_04
transcript.pyannote[13].start 1706.97096875
transcript.pyannote[13].end 1709.41784375
transcript.pyannote[14].speaker SPEAKER_04
transcript.pyannote[14].start 1710.27846875
transcript.pyannote[14].end 1712.91096875
transcript.pyannote[15].speaker SPEAKER_04
transcript.pyannote[15].start 1714.42971875
transcript.pyannote[15].end 1716.74159375
transcript.pyannote[16].speaker SPEAKER_04
transcript.pyannote[16].start 1718.17596875
transcript.pyannote[16].end 1720.33596875
transcript.pyannote[17].speaker SPEAKER_04
transcript.pyannote[17].start 1720.84221875
transcript.pyannote[17].end 1720.99409375
transcript.pyannote[18].speaker SPEAKER_04
transcript.pyannote[18].start 1721.82096875
transcript.pyannote[18].end 1724.62221875
transcript.pyannote[19].speaker SPEAKER_04
transcript.pyannote[19].start 1725.95534375
transcript.pyannote[19].end 1729.70159375
transcript.pyannote[20].speaker SPEAKER_04
transcript.pyannote[20].start 1730.73096875
transcript.pyannote[20].end 1733.17784375
transcript.pyannote[21].speaker SPEAKER_04
transcript.pyannote[21].start 1733.78534375
transcript.pyannote[21].end 1735.45596875
transcript.pyannote[22].speaker SPEAKER_04
transcript.pyannote[22].start 1735.91159375
transcript.pyannote[22].end 1736.08034375
transcript.pyannote[23].speaker SPEAKER_04
transcript.pyannote[23].start 1736.62034375
transcript.pyannote[23].end 1738.66221875
transcript.pyannote[24].speaker SPEAKER_04
transcript.pyannote[24].start 1739.92784375
transcript.pyannote[24].end 1742.12159375
transcript.pyannote[25].speaker SPEAKER_04
transcript.pyannote[25].start 1742.76284375
transcript.pyannote[25].end 1746.15471875
transcript.pyannote[26].speaker SPEAKER_04
transcript.pyannote[26].start 1747.42034375
transcript.pyannote[26].end 1749.59721875
transcript.pyannote[27].speaker SPEAKER_04
transcript.pyannote[27].start 1756.06034375
transcript.pyannote[27].end 1779.02721875
transcript.pyannote[28].speaker SPEAKER_04
transcript.pyannote[28].start 1779.44909375
transcript.pyannote[28].end 1784.25846875
transcript.pyannote[29].speaker SPEAKER_04
transcript.pyannote[29].start 1784.79846875
transcript.pyannote[29].end 1787.41409375
transcript.pyannote[30].speaker SPEAKER_04
transcript.pyannote[30].start 1788.19034375
transcript.pyannote[30].end 1795.59846875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 1797.43784375
transcript.pyannote[31].end 1800.27284375
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 1800.82971875
transcript.pyannote[32].end 1801.48784375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 1801.77471875
transcript.pyannote[33].end 1807.59659375
transcript.pyannote[34].speaker SPEAKER_00
transcript.pyannote[34].start 1807.74846875
transcript.pyannote[34].end 1812.30471875
transcript.pyannote[35].speaker SPEAKER_00
transcript.pyannote[35].start 1812.52409375
transcript.pyannote[35].end 1814.24534375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 1814.29596875
transcript.pyannote[36].end 1815.20721875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 1815.59534375
transcript.pyannote[37].end 1817.56971875
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 1818.00846875
transcript.pyannote[38].end 1819.00409375
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 1819.12221875
transcript.pyannote[39].end 1828.84221875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 1829.34846875
transcript.pyannote[40].end 1833.14534375
transcript.pyannote[41].speaker SPEAKER_00
transcript.pyannote[41].start 1833.17909375
transcript.pyannote[41].end 1835.52471875
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 1836.01409375
transcript.pyannote[42].end 1838.76471875
transcript.pyannote[43].speaker SPEAKER_00
transcript.pyannote[43].start 1839.06846875
transcript.pyannote[43].end 1846.20659375
transcript.pyannote[44].speaker SPEAKER_00
transcript.pyannote[44].start 1846.74659375
transcript.pyannote[44].end 1848.56909375
transcript.pyannote[45].speaker SPEAKER_00
transcript.pyannote[45].start 1849.00784375
transcript.pyannote[45].end 1852.36596875
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 1852.80471875
transcript.pyannote[46].end 1854.25596875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 1855.08284375
transcript.pyannote[47].end 1856.77034375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 1857.56346875
transcript.pyannote[48].end 1868.78534375
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 1868.88659375
transcript.pyannote[49].end 1873.10534375
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 1873.34159375
transcript.pyannote[50].end 1874.60721875
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 1875.26534375
transcript.pyannote[51].end 1877.56034375
transcript.pyannote[52].speaker SPEAKER_00
transcript.pyannote[52].start 1877.86409375
transcript.pyannote[52].end 1884.09096875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 1884.44534375
transcript.pyannote[53].end 1887.56721875
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 1887.88784375
transcript.pyannote[54].end 1890.77346875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 1890.95909375
transcript.pyannote[55].end 1894.38471875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 1894.89096875
transcript.pyannote[56].end 1899.09284375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 1899.36284375
transcript.pyannote[57].end 1901.35409375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 1901.57346875
transcript.pyannote[58].end 1908.74534375
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 1908.82971875
transcript.pyannote[59].end 1913.01471875
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 1913.26784375
transcript.pyannote[60].end 1917.04784375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 1917.46971875
transcript.pyannote[61].end 1918.02659375
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 1918.33034375
transcript.pyannote[62].end 1919.00534375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 1919.74784375
transcript.pyannote[63].end 1920.32159375
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 1920.55784375
transcript.pyannote[64].end 1927.13909375
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 1927.54409375
transcript.pyannote[65].end 1938.46221875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 1938.78284375
transcript.pyannote[66].end 1939.47471875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 1939.84596875
transcript.pyannote[67].end 1940.08221875
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 1940.60534375
transcript.pyannote[68].end 1941.82034375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 1942.09034375
transcript.pyannote[69].end 1949.39721875
transcript.pyannote[70].speaker SPEAKER_07
transcript.pyannote[70].start 1949.80221875
transcript.pyannote[70].end 1950.42659375
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 1950.37596875
transcript.pyannote[71].end 1954.39221875
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 1954.69596875
transcript.pyannote[72].end 1960.80471875
transcript.pyannote[73].speaker SPEAKER_00
transcript.pyannote[73].start 1960.99034375
transcript.pyannote[73].end 1962.99846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 1963.33596875
transcript.pyannote[74].end 1964.31471875
transcript.pyannote[75].speaker SPEAKER_00
transcript.pyannote[75].start 1964.93909375
transcript.pyannote[75].end 1971.52034375
transcript.pyannote[76].speaker SPEAKER_00
transcript.pyannote[76].start 1973.30909375
transcript.pyannote[76].end 1983.95721875
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 1984.32846875
transcript.pyannote[77].end 1986.75846875
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 1987.19721875
transcript.pyannote[78].end 1989.55971875
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 1989.61034375
transcript.pyannote[79].end 1993.74471875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 1994.08221875
transcript.pyannote[80].end 1996.42784375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 1996.98471875
transcript.pyannote[81].end 2000.42721875
transcript.pyannote[82].speaker SPEAKER_00
transcript.pyannote[82].start 2000.61284375
transcript.pyannote[82].end 2001.54096875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 2001.72659375
transcript.pyannote[83].end 2007.00846875
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 2007.59909375
transcript.pyannote[84].end 2012.89784375
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 2013.16784375
transcript.pyannote[85].end 2020.76159375
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 2021.11596875
transcript.pyannote[86].end 2024.52471875
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 2024.62596875
transcript.pyannote[87].end 2027.34284375
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 2027.41034375
transcript.pyannote[88].end 2031.61221875
transcript.pyannote[89].speaker SPEAKER_00
transcript.pyannote[89].start 2032.77659375
transcript.pyannote[89].end 2042.46284375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 2042.74971875
transcript.pyannote[90].end 2050.36034375
transcript.pyannote[91].speaker SPEAKER_00
transcript.pyannote[91].start 2050.73159375
transcript.pyannote[91].end 2051.23784375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 2051.55846875
transcript.pyannote[92].end 2053.02659375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 2053.43159375
transcript.pyannote[93].end 2062.67909375
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 2062.89846875
transcript.pyannote[94].end 2066.00346875
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 2066.47596875
transcript.pyannote[95].end 2069.47971875
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 2070.03659375
transcript.pyannote[96].end 2070.74534375
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 2070.94784375
transcript.pyannote[97].end 2072.36534375
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 2072.51721875
transcript.pyannote[98].end 2077.27596875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 2077.52909375
transcript.pyannote[99].end 2083.28346875
transcript.pyannote[100].speaker SPEAKER_00
transcript.pyannote[100].start 2083.70534375
transcript.pyannote[100].end 2085.07221875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 2085.42659375
transcript.pyannote[101].end 2091.48471875
transcript.pyannote[102].speaker SPEAKER_00
transcript.pyannote[102].start 2091.88971875
transcript.pyannote[102].end 2097.23909375
transcript.pyannote[103].speaker SPEAKER_00
transcript.pyannote[103].start 2097.47534375
transcript.pyannote[103].end 2101.54221875
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 2101.91346875
transcript.pyannote[104].end 2111.83596875
transcript.pyannote[105].speaker SPEAKER_00
transcript.pyannote[105].start 2112.10596875
transcript.pyannote[105].end 2114.31659375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 2114.65409375
transcript.pyannote[106].end 2118.68721875
transcript.pyannote[107].speaker SPEAKER_04
transcript.pyannote[107].start 2121.25221875
transcript.pyannote[107].end 2125.04909375
transcript.pyannote[108].speaker SPEAKER_04
transcript.pyannote[108].start 2125.38659375
transcript.pyannote[108].end 2125.94346875
transcript.pyannote[109].speaker SPEAKER_04
transcript.pyannote[109].start 2125.97721875
transcript.pyannote[109].end 2126.02784375
transcript.pyannote[110].speaker SPEAKER_04
transcript.pyannote[110].start 2127.29346875
transcript.pyannote[110].end 2128.72784375
transcript.pyannote[111].speaker SPEAKER_04
transcript.pyannote[111].start 2129.13284375
transcript.pyannote[111].end 2129.89221875
transcript.pyannote[112].speaker SPEAKER_04
transcript.pyannote[112].start 2438.40096875
transcript.pyannote[112].end 2439.43034375
transcript.pyannote[113].speaker SPEAKER_04
transcript.pyannote[113].start 2439.93659375
transcript.pyannote[113].end 2447.12534375
transcript.pyannote[114].speaker SPEAKER_04
transcript.pyannote[114].start 2447.69909375
transcript.pyannote[114].end 2455.20846875
transcript.pyannote[115].speaker SPEAKER_04
transcript.pyannote[115].start 2455.34346875
transcript.pyannote[115].end 2457.25034375
transcript.pyannote[116].speaker SPEAKER_04
transcript.pyannote[116].start 2457.58784375
transcript.pyannote[116].end 2464.69221875
transcript.pyannote[117].speaker SPEAKER_06
transcript.pyannote[117].start 2465.04659375
transcript.pyannote[117].end 2526.10034375
transcript.pyannote[118].speaker SPEAKER_06
transcript.pyannote[118].start 2526.20159375
transcript.pyannote[118].end 2539.65096875
transcript.pyannote[119].speaker SPEAKER_06
transcript.pyannote[119].start 2541.43971875
transcript.pyannote[119].end 2543.71784375
transcript.pyannote[120].speaker SPEAKER_02
transcript.pyannote[120].start 2543.93721875
transcript.pyannote[120].end 2544.74721875
transcript.pyannote[121].speaker SPEAKER_02
transcript.pyannote[121].start 2545.40534375
transcript.pyannote[121].end 2552.03721875
transcript.pyannote[122].speaker SPEAKER_02
transcript.pyannote[122].start 2552.08784375
transcript.pyannote[122].end 2553.47159375
transcript.pyannote[123].speaker SPEAKER_02
transcript.pyannote[123].start 2554.14659375
transcript.pyannote[123].end 2557.79159375
transcript.pyannote[124].speaker SPEAKER_02
transcript.pyannote[124].start 2559.96846875
transcript.pyannote[124].end 2561.60534375
transcript.pyannote[125].speaker SPEAKER_04
transcript.pyannote[125].start 2561.60534375
transcript.pyannote[125].end 2561.62221875
transcript.pyannote[126].speaker SPEAKER_06
transcript.pyannote[126].start 2563.73159375
transcript.pyannote[126].end 2565.63846875
transcript.pyannote[127].speaker SPEAKER_06
transcript.pyannote[127].start 2565.92534375
transcript.pyannote[127].end 2567.12346875
transcript.pyannote[128].speaker SPEAKER_04
transcript.pyannote[128].start 2565.97596875
transcript.pyannote[128].end 2574.34596875
transcript.pyannote[129].speaker SPEAKER_04
transcript.pyannote[129].start 2574.48096875
transcript.pyannote[129].end 2576.70846875
transcript.pyannote[130].speaker SPEAKER_07
transcript.pyannote[130].start 2574.53159375
transcript.pyannote[130].end 2574.90284375
transcript.pyannote[131].speaker SPEAKER_07
transcript.pyannote[131].start 2576.80971875
transcript.pyannote[131].end 2577.73784375
transcript.pyannote[132].speaker SPEAKER_04
transcript.pyannote[132].start 2577.40034375
transcript.pyannote[132].end 2585.44971875
transcript.pyannote[133].speaker SPEAKER_04
transcript.pyannote[133].start 2586.52971875
transcript.pyannote[133].end 2588.70659375
transcript.pyannote[134].speaker SPEAKER_06
transcript.pyannote[134].start 2588.90909375
transcript.pyannote[134].end 2593.46534375
transcript.pyannote[135].speaker SPEAKER_04
transcript.pyannote[135].start 2593.46534375
transcript.pyannote[135].end 2593.80284375
transcript.pyannote[136].speaker SPEAKER_06
transcript.pyannote[136].start 2593.80284375
transcript.pyannote[136].end 2595.70971875
transcript.pyannote[137].speaker SPEAKER_04
transcript.pyannote[137].start 2595.70971875
transcript.pyannote[137].end 2597.95409375
transcript.pyannote[138].speaker SPEAKER_04
transcript.pyannote[138].start 2599.42221875
transcript.pyannote[138].end 2606.10471875
transcript.pyannote[139].speaker SPEAKER_04
transcript.pyannote[139].start 2606.81346875
transcript.pyannote[139].end 2609.78346875
transcript.pyannote[140].speaker SPEAKER_04
transcript.pyannote[140].start 2610.07034375
transcript.pyannote[140].end 2612.12909375
transcript.pyannote[141].speaker SPEAKER_04
transcript.pyannote[141].start 2612.16284375
transcript.pyannote[141].end 2614.47471875
transcript.pyannote[142].speaker SPEAKER_03
transcript.pyannote[142].start 2621.96721875
transcript.pyannote[142].end 2637.81284375
transcript.pyannote[143].speaker SPEAKER_03
transcript.pyannote[143].start 2639.56784375
transcript.pyannote[143].end 2642.26784375
transcript.pyannote[144].speaker SPEAKER_06
transcript.pyannote[144].start 2643.63471875
transcript.pyannote[144].end 2643.66846875
transcript.pyannote[145].speaker SPEAKER_03
transcript.pyannote[145].start 2643.66846875
transcript.pyannote[145].end 2645.89596875
transcript.pyannote[146].speaker SPEAKER_03
transcript.pyannote[146].start 2647.34721875
transcript.pyannote[146].end 2648.59596875
transcript.pyannote[147].speaker SPEAKER_03
transcript.pyannote[147].start 2649.79409375
transcript.pyannote[147].end 2650.19909375
transcript.pyannote[148].speaker SPEAKER_01
transcript.pyannote[148].start 2650.67159375
transcript.pyannote[148].end 2651.31284375
transcript.pyannote[149].speaker SPEAKER_03
transcript.pyannote[149].start 2651.85284375
transcript.pyannote[149].end 2652.39284375
transcript.pyannote[150].speaker SPEAKER_03
transcript.pyannote[150].start 2652.46034375
transcript.pyannote[150].end 2652.47721875
transcript.pyannote[151].speaker SPEAKER_03
transcript.pyannote[151].start 2652.54471875
transcript.pyannote[151].end 2653.50659375
transcript.pyannote[152].speaker SPEAKER_01
transcript.pyannote[152].start 2652.57846875
transcript.pyannote[152].end 2652.76409375
transcript.pyannote[153].speaker SPEAKER_06
transcript.pyannote[153].start 2652.76409375
transcript.pyannote[153].end 2652.78096875
transcript.pyannote[154].speaker SPEAKER_01
transcript.pyannote[154].start 2652.78096875
transcript.pyannote[154].end 2652.81471875
transcript.pyannote[155].speaker SPEAKER_03
transcript.pyannote[155].start 2654.06346875
transcript.pyannote[155].end 2655.02534375
transcript.pyannote[156].speaker SPEAKER_03
transcript.pyannote[156].start 2655.31221875
transcript.pyannote[156].end 2656.47659375
transcript.pyannote[157].speaker SPEAKER_03
transcript.pyannote[157].start 2656.88159375
transcript.pyannote[157].end 2656.89846875
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 2656.89846875
transcript.pyannote[158].end 2658.80534375
transcript.pyannote[159].speaker SPEAKER_03
transcript.pyannote[159].start 2658.80534375
transcript.pyannote[159].end 2658.97409375
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 2658.97409375
transcript.pyannote[160].end 2659.02471875
transcript.pyannote[161].speaker SPEAKER_03
transcript.pyannote[161].start 2659.02471875
transcript.pyannote[161].end 2659.42971875
transcript.pyannote[162].speaker SPEAKER_06
transcript.pyannote[162].start 2659.56471875
transcript.pyannote[162].end 2660.57721875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 2661.08346875
transcript.pyannote[163].end 2662.34909375
transcript.pyannote[164].speaker SPEAKER_01
transcript.pyannote[164].start 2663.95221875
transcript.pyannote[164].end 2664.54284375
transcript.pyannote[165].speaker SPEAKER_06
transcript.pyannote[165].start 2666.97284375
transcript.pyannote[165].end 2668.42409375
transcript.pyannote[166].speaker SPEAKER_03
transcript.pyannote[166].start 2667.04034375
transcript.pyannote[166].end 2667.15846875
transcript.pyannote[167].speaker SPEAKER_06
transcript.pyannote[167].start 2668.94721875
transcript.pyannote[167].end 2699.82846875
transcript.pyannote[168].speaker SPEAKER_07
transcript.pyannote[168].start 2689.90596875
transcript.pyannote[168].end 2690.54721875
transcript.pyannote[169].speaker SPEAKER_07
transcript.pyannote[169].start 2691.28971875
transcript.pyannote[169].end 2692.31909375
transcript.pyannote[170].speaker SPEAKER_06
transcript.pyannote[170].start 2700.35159375
transcript.pyannote[170].end 2709.88596875
transcript.pyannote[171].speaker SPEAKER_03
transcript.pyannote[171].start 2710.29096875
transcript.pyannote[171].end 2710.93221875
transcript.pyannote[172].speaker SPEAKER_03
transcript.pyannote[172].start 2711.69159375
transcript.pyannote[172].end 2713.86846875
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 2711.86034375
transcript.pyannote[173].end 2712.36659375
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 2712.73784375
transcript.pyannote[174].end 2719.63971875
transcript.pyannote[175].speaker SPEAKER_04
transcript.pyannote[175].start 2718.84659375
transcript.pyannote[175].end 2719.33596875
transcript.pyannote[176].speaker SPEAKER_04
transcript.pyannote[176].start 2719.53846875
transcript.pyannote[176].end 2722.45784375
transcript.pyannote[177].speaker SPEAKER_04
transcript.pyannote[177].start 2722.99784375
transcript.pyannote[177].end 2724.55034375
transcript.pyannote[178].speaker SPEAKER_04
transcript.pyannote[178].start 2727.19971875
transcript.pyannote[178].end 2727.82409375
transcript.pyannote[179].speaker SPEAKER_04
transcript.pyannote[179].start 2730.13596875
transcript.pyannote[179].end 2733.08909375
transcript.pyannote[180].speaker SPEAKER_04
transcript.pyannote[180].start 2733.66284375
transcript.pyannote[180].end 2741.61096875
transcript.pyannote[181].speaker SPEAKER_07
transcript.pyannote[181].start 2738.64096875
transcript.pyannote[181].end 2738.97846875
transcript.pyannote[182].speaker SPEAKER_00
transcript.pyannote[182].start 2738.97846875
transcript.pyannote[182].end 2739.09659375
transcript.pyannote[183].speaker SPEAKER_04
transcript.pyannote[183].start 2743.04534375
transcript.pyannote[183].end 2750.16659375
transcript.pyannote[184].speaker SPEAKER_04
transcript.pyannote[184].start 2750.43659375
transcript.pyannote[184].end 2763.91971875
transcript.pyannote[185].speaker SPEAKER_04
transcript.pyannote[185].start 2764.51034375
transcript.pyannote[185].end 2768.77971875
transcript.pyannote[186].speaker SPEAKER_04
transcript.pyannote[186].start 2768.98221875
transcript.pyannote[186].end 2770.38284375
transcript.pyannote[187].speaker SPEAKER_04
transcript.pyannote[187].start 2771.26034375
transcript.pyannote[187].end 2773.01534375
transcript.pyannote[188].speaker SPEAKER_04
transcript.pyannote[188].start 2773.31909375
transcript.pyannote[188].end 2776.40721875
transcript.pyannote[189].speaker SPEAKER_04
transcript.pyannote[189].start 2776.91346875
transcript.pyannote[189].end 2780.05221875
transcript.pyannote[190].speaker SPEAKER_04
transcript.pyannote[190].start 2781.75659375
transcript.pyannote[190].end 2786.24534375
transcript.pyannote[191].speaker SPEAKER_04
transcript.pyannote[191].start 2789.02971875
transcript.pyannote[191].end 2789.31659375
transcript.pyannote[192].speaker SPEAKER_04
transcript.pyannote[192].start 2789.78909375
transcript.pyannote[192].end 2792.16846875
transcript.pyannote[193].speaker SPEAKER_04
transcript.pyannote[193].start 2792.38784375
transcript.pyannote[193].end 2794.78409375
transcript.pyannote[194].speaker SPEAKER_04
transcript.pyannote[194].start 2795.17221875
transcript.pyannote[194].end 2796.08346875
transcript.pyannote[195].speaker SPEAKER_04
transcript.pyannote[195].start 2796.96096875
transcript.pyannote[195].end 2798.81721875
transcript.pyannote[196].speaker SPEAKER_04
transcript.pyannote[196].start 2802.34409375
transcript.pyannote[196].end 2815.11846875
transcript.pyannote[197].speaker SPEAKER_04
transcript.pyannote[197].start 2815.55721875
transcript.pyannote[197].end 2819.77596875
transcript.pyannote[198].speaker SPEAKER_04
transcript.pyannote[198].start 2819.82659375
transcript.pyannote[198].end 2821.49721875
transcript.pyannote[199].speaker SPEAKER_04
transcript.pyannote[199].start 2821.95284375
transcript.pyannote[199].end 2825.86784375
transcript.pyannote[200].speaker SPEAKER_04
transcript.pyannote[200].start 2825.95221875
transcript.pyannote[200].end 2827.08284375
transcript.pyannote[201].speaker SPEAKER_04
transcript.pyannote[201].start 2827.43721875
transcript.pyannote[201].end 2853.81284375
transcript.pyannote[202].speaker SPEAKER_04
transcript.pyannote[202].start 2854.31909375
transcript.pyannote[202].end 2859.48284375
transcript.pyannote[203].speaker SPEAKER_04
transcript.pyannote[203].start 2860.14096875
transcript.pyannote[203].end 2863.76909375
transcript.pyannote[204].speaker SPEAKER_04
transcript.pyannote[204].start 2863.80284375
transcript.pyannote[204].end 2863.87034375
transcript.pyannote[205].speaker SPEAKER_04
transcript.pyannote[205].start 2864.02221875
transcript.pyannote[205].end 2865.37221875
transcript.pyannote[206].speaker SPEAKER_04
transcript.pyannote[206].start 2865.84471875
transcript.pyannote[206].end 2866.55346875
transcript.pyannote[207].speaker SPEAKER_04
transcript.pyannote[207].start 2866.97534375
transcript.pyannote[207].end 2895.08909375
transcript.pyannote[208].speaker SPEAKER_04
transcript.pyannote[208].start 2895.47721875
transcript.pyannote[208].end 2898.27846875
transcript.pyannote[209].speaker SPEAKER_04
transcript.pyannote[209].start 2898.75096875
transcript.pyannote[209].end 2909.92221875
transcript.pyannote[210].speaker SPEAKER_03
transcript.pyannote[210].start 2917.17846875
transcript.pyannote[210].end 2922.34221875
transcript.pyannote[211].speaker SPEAKER_03
transcript.pyannote[211].start 2922.94971875
transcript.pyannote[211].end 2930.56034375
transcript.pyannote[212].speaker SPEAKER_03
transcript.pyannote[212].start 2930.94846875
transcript.pyannote[212].end 2962.16721875
transcript.pyannote[213].speaker SPEAKER_03
transcript.pyannote[213].start 2962.57221875
transcript.pyannote[213].end 2969.30534375
transcript.pyannote[214].speaker SPEAKER_03
transcript.pyannote[214].start 2969.59221875
transcript.pyannote[214].end 2970.67221875
transcript.pyannote[215].speaker SPEAKER_03
transcript.pyannote[215].start 2971.11096875
transcript.pyannote[215].end 2972.93346875
transcript.pyannote[216].speaker SPEAKER_03
transcript.pyannote[216].start 2973.33846875
transcript.pyannote[216].end 3001.21596875
transcript.pyannote[217].speaker SPEAKER_03
transcript.pyannote[217].start 3001.55346875
transcript.pyannote[217].end 3006.02534375
transcript.pyannote[218].speaker SPEAKER_03
transcript.pyannote[218].start 3006.29534375
transcript.pyannote[218].end 3006.59909375
transcript.pyannote[219].speaker SPEAKER_03
transcript.pyannote[219].start 3006.76784375
transcript.pyannote[219].end 3009.16409375
transcript.pyannote[220].speaker SPEAKER_04
transcript.pyannote[220].start 3011.57721875
transcript.pyannote[220].end 3011.89784375
transcript.pyannote[221].speaker SPEAKER_04
transcript.pyannote[221].start 3013.02846875
transcript.pyannote[221].end 3013.53471875
transcript.pyannote[222].speaker SPEAKER_04
transcript.pyannote[222].start 3013.82159375
transcript.pyannote[222].end 3018.17534375
transcript.pyannote[223].speaker SPEAKER_04
transcript.pyannote[223].start 3019.06971875
transcript.pyannote[223].end 3019.94721875
transcript.pyannote[224].speaker SPEAKER_04
transcript.pyannote[224].start 3020.65596875
transcript.pyannote[224].end 3033.43034375
transcript.pyannote[225].speaker SPEAKER_04
transcript.pyannote[225].start 3033.54846875
transcript.pyannote[225].end 3033.91971875
transcript.pyannote[226].speaker SPEAKER_04
transcript.pyannote[226].start 3039.13409375
transcript.pyannote[226].end 3040.75409375
transcript.pyannote[227].speaker SPEAKER_04
transcript.pyannote[227].start 3041.46284375
transcript.pyannote[227].end 3042.50909375
transcript.pyannote[228].speaker SPEAKER_04
transcript.pyannote[228].start 3042.96471875
transcript.pyannote[228].end 3048.44909375
transcript.pyannote[229].speaker SPEAKER_04
transcript.pyannote[229].start 3048.51659375
transcript.pyannote[229].end 3049.19159375
transcript.pyannote[230].speaker SPEAKER_04
transcript.pyannote[230].start 3049.73159375
transcript.pyannote[230].end 3051.21659375
transcript.pyannote[231].speaker SPEAKER_04
transcript.pyannote[231].start 3052.48221875
transcript.pyannote[231].end 3054.28784375
transcript.pyannote[232].speaker SPEAKER_04
transcript.pyannote[232].start 3056.36346875
transcript.pyannote[232].end 3057.42659375
transcript.pyannote[233].speaker SPEAKER_04
transcript.pyannote[233].start 3059.06346875
transcript.pyannote[233].end 3064.73346875
transcript.pyannote[234].speaker SPEAKER_04
transcript.pyannote[234].start 3065.76284375
transcript.pyannote[234].end 3067.80471875
transcript.pyannote[235].speaker SPEAKER_04
transcript.pyannote[235].start 3068.47971875
transcript.pyannote[235].end 3078.62159375
transcript.pyannote[236].speaker SPEAKER_07
transcript.pyannote[236].start 3074.79096875
transcript.pyannote[236].end 3075.38159375
transcript.pyannote[237].speaker SPEAKER_04
transcript.pyannote[237].start 3079.14471875
transcript.pyannote[237].end 3079.75221875
transcript.pyannote[238].speaker SPEAKER_04
transcript.pyannote[238].start 3079.85346875
transcript.pyannote[238].end 3091.31159375
transcript.pyannote[239].speaker SPEAKER_04
transcript.pyannote[239].start 3091.71659375
transcript.pyannote[239].end 3105.13221875
transcript.pyannote[240].speaker SPEAKER_04
transcript.pyannote[240].start 3105.58784375
transcript.pyannote[240].end 3106.75221875
transcript.pyannote[241].speaker SPEAKER_04
transcript.pyannote[241].start 3107.29221875
transcript.pyannote[241].end 3113.09721875
transcript.pyannote[242].speaker SPEAKER_04
transcript.pyannote[242].start 3115.89846875
transcript.pyannote[242].end 3117.61971875
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 3122.42909375
transcript.pyannote[243].end 3128.41971875
transcript.pyannote[244].speaker SPEAKER_02
transcript.pyannote[244].start 3128.58846875
transcript.pyannote[244].end 3129.61784375
transcript.pyannote[245].speaker SPEAKER_02
transcript.pyannote[245].start 3129.93846875
transcript.pyannote[245].end 3131.87909375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 3132.09846875
transcript.pyannote[246].end 3132.99284375
transcript.pyannote[247].speaker SPEAKER_04
transcript.pyannote[247].start 3137.36346875
transcript.pyannote[247].end 3137.70096875
transcript.pyannote[248].speaker SPEAKER_04
transcript.pyannote[248].start 3137.90346875
transcript.pyannote[248].end 3138.39284375
transcript.pyannote[249].speaker SPEAKER_04
transcript.pyannote[249].start 3138.67971875
transcript.pyannote[249].end 3139.27034375
transcript.pyannote[250].speaker SPEAKER_04
transcript.pyannote[250].start 3139.74284375
transcript.pyannote[250].end 3141.29534375
transcript.pyannote[251].speaker SPEAKER_04
transcript.pyannote[251].start 3142.15596875
transcript.pyannote[251].end 3150.52596875
transcript.pyannote[252].speaker SPEAKER_04
transcript.pyannote[252].start 3150.76221875
transcript.pyannote[252].end 3152.29784375
transcript.pyannote[253].speaker SPEAKER_04
transcript.pyannote[253].start 3153.76596875
transcript.pyannote[253].end 3157.02284375
transcript.pyannote[254].speaker SPEAKER_04
transcript.pyannote[254].start 3158.38971875
transcript.pyannote[254].end 3167.36721875
transcript.pyannote[255].speaker SPEAKER_04
transcript.pyannote[255].start 3168.21096875
transcript.pyannote[255].end 3174.33659375
transcript.pyannote[256].speaker SPEAKER_04
transcript.pyannote[256].start 3174.67409375
transcript.pyannote[256].end 3177.96471875
transcript.pyannote[257].speaker SPEAKER_04
transcript.pyannote[257].start 3178.25159375
transcript.pyannote[257].end 3181.79534375
transcript.pyannote[258].speaker SPEAKER_04
transcript.pyannote[258].start 3184.17471875
transcript.pyannote[258].end 3187.70159375
transcript.pyannote[259].speaker SPEAKER_04
transcript.pyannote[259].start 3188.32596875
transcript.pyannote[259].end 3189.82784375
transcript.pyannote[260].speaker SPEAKER_04
transcript.pyannote[260].start 3190.03034375
transcript.pyannote[260].end 3190.43534375
transcript.pyannote[261].speaker SPEAKER_04
transcript.pyannote[261].start 3193.99596875
transcript.pyannote[261].end 3194.31659375
transcript.pyannote[262].speaker SPEAKER_04
transcript.pyannote[262].start 3195.12659375
transcript.pyannote[262].end 3198.51846875
transcript.pyannote[263].speaker SPEAKER_04
transcript.pyannote[263].start 3199.48034375
transcript.pyannote[263].end 3203.51346875
transcript.pyannote[264].speaker SPEAKER_04
transcript.pyannote[264].start 3203.95221875
transcript.pyannote[264].end 3210.21284375
transcript.pyannote[265].speaker SPEAKER_04
transcript.pyannote[265].start 3210.63471875
transcript.pyannote[265].end 3215.24159375
transcript.pyannote[266].speaker SPEAKER_04
transcript.pyannote[266].start 3215.64659375
transcript.pyannote[266].end 3219.61221875
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 3220.89471875
transcript.pyannote[267].end 3221.97471875
transcript.pyannote[268].speaker SPEAKER_04
transcript.pyannote[268].start 3221.97471875
transcript.pyannote[268].end 3224.60721875
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 3226.96971875
transcript.pyannote[269].end 3227.03721875
transcript.pyannote[270].speaker SPEAKER_04
transcript.pyannote[270].start 3233.55096875
transcript.pyannote[270].end 3234.19221875
transcript.pyannote[271].speaker SPEAKER_04
transcript.pyannote[271].start 3249.90284375
transcript.pyannote[271].end 3250.42596875
transcript.pyannote[272].speaker SPEAKER_04
transcript.pyannote[272].start 3250.67909375
transcript.pyannote[272].end 3252.04596875
transcript.pyannote[273].speaker SPEAKER_04
transcript.pyannote[273].start 3253.05846875
transcript.pyannote[273].end 3253.98659375
transcript.pyannote[274].speaker SPEAKER_04
transcript.pyannote[274].start 3254.76284375
transcript.pyannote[274].end 3255.58971875
transcript.pyannote[275].speaker SPEAKER_04
transcript.pyannote[275].start 3256.70346875
transcript.pyannote[275].end 3259.62284375
transcript.pyannote[276].speaker SPEAKER_05
transcript.pyannote[276].start 3260.29784375
transcript.pyannote[276].end 3262.33971875
transcript.pyannote[277].speaker SPEAKER_05
transcript.pyannote[277].start 3262.66034375
transcript.pyannote[277].end 3263.18346875
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 3263.38596875
transcript.pyannote[278].end 3266.60909375
transcript.pyannote[279].speaker SPEAKER_04
transcript.pyannote[279].start 3267.60471875
transcript.pyannote[279].end 3270.60846875
transcript.pyannote[280].speaker SPEAKER_05
transcript.pyannote[280].start 3267.65534375
transcript.pyannote[280].end 3268.33034375
transcript.pyannote[281].speaker SPEAKER_04
transcript.pyannote[281].start 3272.65034375
transcript.pyannote[281].end 3281.25659375
transcript.pyannote[282].speaker SPEAKER_04
transcript.pyannote[282].start 3281.74596875
transcript.pyannote[282].end 3284.10846875
transcript.pyannote[283].speaker SPEAKER_04
transcript.pyannote[283].start 3284.64846875
transcript.pyannote[283].end 3289.52534375
transcript.pyannote[284].speaker SPEAKER_05
transcript.pyannote[284].start 3289.03596875
transcript.pyannote[284].end 3291.02721875
transcript.pyannote[285].speaker SPEAKER_04
transcript.pyannote[285].start 3290.06534375
transcript.pyannote[285].end 3290.26784375
transcript.pyannote[286].speaker SPEAKER_05
transcript.pyannote[286].start 3291.29721875
transcript.pyannote[286].end 3292.84971875
transcript.pyannote[287].speaker SPEAKER_04
transcript.pyannote[287].start 3294.26721875
transcript.pyannote[287].end 3297.23721875
transcript.pyannote[288].speaker SPEAKER_05
transcript.pyannote[288].start 3294.52034375
transcript.pyannote[288].end 3295.41471875
transcript.pyannote[289].speaker SPEAKER_04
transcript.pyannote[289].start 3311.73284375
transcript.pyannote[289].end 3316.33971875
transcript.pyannote[290].speaker SPEAKER_04
transcript.pyannote[290].start 3317.82471875
transcript.pyannote[290].end 3320.38971875
transcript.pyannote[291].speaker SPEAKER_04
transcript.pyannote[291].start 3320.84534375
transcript.pyannote[291].end 3323.76471875
transcript.pyannote[292].speaker SPEAKER_04
transcript.pyannote[292].start 3323.83221875
transcript.pyannote[292].end 3327.57846875
transcript.pyannote[293].speaker SPEAKER_04
transcript.pyannote[293].start 3328.10159375
transcript.pyannote[293].end 3331.56096875
transcript.pyannote[294].speaker SPEAKER_04
transcript.pyannote[294].start 3334.24409375
transcript.pyannote[294].end 3336.30284375
transcript.pyannote[295].speaker SPEAKER_04
transcript.pyannote[295].start 3337.19721875
transcript.pyannote[295].end 3341.24721875
transcript.pyannote[296].speaker SPEAKER_04
transcript.pyannote[296].start 3342.19221875
transcript.pyannote[296].end 3342.52971875
transcript.pyannote[297].speaker SPEAKER_04
transcript.pyannote[297].start 3342.85034375
transcript.pyannote[297].end 3346.09034375
transcript.pyannote[298].speaker SPEAKER_04
transcript.pyannote[298].start 3346.74846875
transcript.pyannote[298].end 3349.70159375
transcript.pyannote[299].speaker SPEAKER_04
transcript.pyannote[299].start 3350.54534375
transcript.pyannote[299].end 3351.70971875
transcript.pyannote[300].speaker SPEAKER_04
transcript.pyannote[300].start 3351.96284375
transcript.pyannote[300].end 3352.16534375
transcript.pyannote[301].speaker SPEAKER_04
transcript.pyannote[301].start 3353.22846875
transcript.pyannote[301].end 3354.40971875
transcript.pyannote[302].speaker SPEAKER_04
transcript.pyannote[302].start 3355.55721875
transcript.pyannote[302].end 3356.40096875
transcript.pyannote[303].speaker SPEAKER_04
transcript.pyannote[303].start 3357.68346875
transcript.pyannote[303].end 3360.02909375
transcript.pyannote[304].speaker SPEAKER_04
transcript.pyannote[304].start 3363.01596875
transcript.pyannote[304].end 3364.36596875
transcript.pyannote[305].speaker SPEAKER_04
transcript.pyannote[305].start 3367.45409375
transcript.pyannote[305].end 3371.38596875
transcript.pyannote[306].speaker SPEAKER_04
transcript.pyannote[306].start 3373.78221875
transcript.pyannote[306].end 3375.06471875
transcript.pyannote[307].speaker SPEAKER_03
transcript.pyannote[307].start 3375.11534375
transcript.pyannote[307].end 3375.14909375
transcript.pyannote[308].speaker SPEAKER_04
transcript.pyannote[308].start 3375.14909375
transcript.pyannote[308].end 3376.02659375
transcript.pyannote[309].speaker SPEAKER_03
transcript.pyannote[309].start 3376.02659375
transcript.pyannote[309].end 3376.97159375
transcript.pyannote[310].speaker SPEAKER_04
transcript.pyannote[310].start 3376.97159375
transcript.pyannote[310].end 3377.00534375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 3377.00534375
transcript.pyannote[311].end 3377.02221875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 3377.24159375
transcript.pyannote[312].end 3377.27534375
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 3377.27534375
transcript.pyannote[313].end 3377.32596875
transcript.pyannote[314].speaker SPEAKER_03
transcript.pyannote[314].start 3377.32596875
transcript.pyannote[314].end 3384.81846875
transcript.pyannote[315].speaker SPEAKER_03
transcript.pyannote[315].start 3385.17284375
transcript.pyannote[315].end 3386.06721875
transcript.pyannote[316].speaker SPEAKER_03
transcript.pyannote[316].start 3386.38784375
transcript.pyannote[316].end 3388.96971875
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 3388.96971875
transcript.pyannote[317].end 3389.03721875
transcript.pyannote[318].speaker SPEAKER_03
transcript.pyannote[318].start 3389.03721875
transcript.pyannote[318].end 3389.96534375
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 3389.96534375
transcript.pyannote[319].end 3390.04971875
transcript.pyannote[320].speaker SPEAKER_04
transcript.pyannote[320].start 3390.33659375
transcript.pyannote[320].end 3390.37034375
transcript.pyannote[321].speaker SPEAKER_03
transcript.pyannote[321].start 3390.37034375
transcript.pyannote[321].end 3390.97784375
transcript.pyannote[322].speaker SPEAKER_04
transcript.pyannote[322].start 3390.97784375
transcript.pyannote[322].end 3391.68659375
transcript.pyannote[323].speaker SPEAKER_03
transcript.pyannote[323].start 3392.09159375
transcript.pyannote[323].end 3393.35721875
transcript.pyannote[324].speaker SPEAKER_03
transcript.pyannote[324].start 3394.53846875
transcript.pyannote[324].end 3394.87596875
transcript.pyannote[325].speaker SPEAKER_04
transcript.pyannote[325].start 3394.87596875
transcript.pyannote[325].end 3395.01096875
transcript.pyannote[326].speaker SPEAKER_03
transcript.pyannote[326].start 3395.01096875
transcript.pyannote[326].end 3395.33159375
transcript.pyannote[327].speaker SPEAKER_03
transcript.pyannote[327].start 3395.48346875
transcript.pyannote[327].end 3396.25971875
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 3396.76596875
transcript.pyannote[328].end 3398.97659375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3398.97659375
transcript.pyannote[329].end 3399.16221875
transcript.pyannote[330].speaker SPEAKER_03
transcript.pyannote[330].start 3399.16221875
transcript.pyannote[330].end 3399.90471875
transcript.pyannote[331].speaker SPEAKER_04
transcript.pyannote[331].start 3399.90471875
transcript.pyannote[331].end 3401.40659375
transcript.pyannote[332].speaker SPEAKER_03
transcript.pyannote[332].start 3400.79909375
transcript.pyannote[332].end 3401.22096875
transcript.pyannote[333].speaker SPEAKER_03
transcript.pyannote[333].start 3401.82846875
transcript.pyannote[333].end 3402.48659375
transcript.pyannote[334].speaker SPEAKER_04
transcript.pyannote[334].start 3402.48659375
transcript.pyannote[334].end 3402.50346875
transcript.pyannote[335].speaker SPEAKER_04
transcript.pyannote[335].start 3403.04346875
transcript.pyannote[335].end 3404.98409375
transcript.pyannote[336].speaker SPEAKER_04
transcript.pyannote[336].start 3405.50721875
transcript.pyannote[336].end 3413.30346875
transcript.pyannote[337].speaker SPEAKER_04
transcript.pyannote[337].start 3415.98659375
transcript.pyannote[337].end 3417.57284375
transcript.pyannote[338].speaker SPEAKER_04
transcript.pyannote[338].start 3417.75846875
transcript.pyannote[338].end 3426.92159375
transcript.pyannote[339].speaker SPEAKER_04
transcript.pyannote[339].start 3427.19159375
transcript.pyannote[339].end 3428.55846875
transcript.pyannote[340].speaker SPEAKER_03
transcript.pyannote[340].start 3428.55846875
transcript.pyannote[340].end 3428.57534375
transcript.pyannote[341].speaker SPEAKER_04
transcript.pyannote[341].start 3429.33471875
transcript.pyannote[341].end 3429.36846875
transcript.pyannote[342].speaker SPEAKER_03
transcript.pyannote[342].start 3429.36846875
transcript.pyannote[342].end 3430.97159375
transcript.pyannote[343].speaker SPEAKER_03
transcript.pyannote[343].start 3431.27534375
transcript.pyannote[343].end 3432.18659375
transcript.pyannote[344].speaker SPEAKER_03
transcript.pyannote[344].start 3433.28346875
transcript.pyannote[344].end 3435.86534375
transcript.pyannote[345].speaker SPEAKER_03
transcript.pyannote[345].start 3436.42221875
transcript.pyannote[345].end 3436.87784375
transcript.pyannote[346].speaker SPEAKER_04
transcript.pyannote[346].start 3436.87784375
transcript.pyannote[346].end 3437.01284375
transcript.pyannote[347].speaker SPEAKER_04
transcript.pyannote[347].start 3437.65409375
transcript.pyannote[347].end 3438.95346875
transcript.pyannote[348].speaker SPEAKER_03
transcript.pyannote[348].start 3438.95346875
transcript.pyannote[348].end 3438.97034375
transcript.pyannote[349].speaker SPEAKER_04
transcript.pyannote[349].start 3438.97034375
transcript.pyannote[349].end 3439.03784375
transcript.pyannote[350].speaker SPEAKER_04
transcript.pyannote[350].start 3439.66221875
transcript.pyannote[350].end 3441.65346875
transcript.pyannote[351].speaker SPEAKER_04
transcript.pyannote[351].start 3442.05846875
transcript.pyannote[351].end 3443.10471875
transcript.pyannote[352].speaker SPEAKER_04
transcript.pyannote[352].start 3458.07284375
transcript.pyannote[352].end 3461.76846875
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 3461.80221875
transcript.pyannote[353].end 3463.67534375
transcript.pyannote[354].speaker SPEAKER_04
transcript.pyannote[354].start 3465.56534375
transcript.pyannote[354].end 3466.37534375
transcript.pyannote[355].speaker SPEAKER_04
transcript.pyannote[355].start 3475.13346875
transcript.pyannote[355].end 3475.48784375
transcript.pyannote[356].speaker SPEAKER_04
transcript.pyannote[356].start 3476.78721875
transcript.pyannote[356].end 3480.39846875
transcript.pyannote[357].speaker SPEAKER_04
transcript.pyannote[357].start 3484.75221875
transcript.pyannote[357].end 3492.49784375
transcript.pyannote[358].speaker SPEAKER_04
transcript.pyannote[358].start 3492.81846875
transcript.pyannote[358].end 3496.02471875
transcript.pyannote[359].speaker SPEAKER_04
transcript.pyannote[359].start 3497.32409375
transcript.pyannote[359].end 3500.07471875
transcript.pyannote[360].speaker SPEAKER_04
transcript.pyannote[360].start 3502.04909375
transcript.pyannote[360].end 3503.19659375
transcript.pyannote[361].speaker SPEAKER_04
transcript.pyannote[361].start 3503.44971875
transcript.pyannote[361].end 3507.90471875
transcript.pyannote[362].speaker SPEAKER_05
transcript.pyannote[362].start 3512.03909375
transcript.pyannote[362].end 3517.21971875
transcript.pyannote[363].speaker SPEAKER_05
transcript.pyannote[363].start 3517.43909375
transcript.pyannote[363].end 3521.32034375
transcript.pyannote[364].speaker SPEAKER_04
transcript.pyannote[364].start 3522.16409375
transcript.pyannote[364].end 3524.72909375
transcript.pyannote[365].speaker SPEAKER_04
transcript.pyannote[365].start 3524.94846875
transcript.pyannote[365].end 3528.00284375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 3528.57659375
transcript.pyannote[366].end 3531.15846875
transcript.pyannote[367].speaker SPEAKER_04
transcript.pyannote[367].start 3532.79534375
transcript.pyannote[367].end 3542.39721875
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 3544.00034375
transcript.pyannote[368].end 3546.14346875
transcript.pyannote[369].speaker SPEAKER_04
transcript.pyannote[369].start 3546.17721875
transcript.pyannote[369].end 3550.19346875
transcript.pyannote[370].speaker SPEAKER_04
transcript.pyannote[370].start 3550.69971875
transcript.pyannote[370].end 3554.37846875
transcript.pyannote[371].speaker SPEAKER_04
transcript.pyannote[371].start 3555.77909375
transcript.pyannote[371].end 3571.47284375
transcript.pyannote[372].speaker SPEAKER_04
transcript.pyannote[372].start 3571.82721875
transcript.pyannote[372].end 3575.65784375
transcript.pyannote[373].speaker SPEAKER_05
transcript.pyannote[373].start 3576.13034375
transcript.pyannote[373].end 3588.28034375
transcript.pyannote[374].speaker SPEAKER_05
transcript.pyannote[374].start 3588.68534375
transcript.pyannote[374].end 3590.67659375
transcript.pyannote[375].speaker SPEAKER_05
transcript.pyannote[375].start 3590.98034375
transcript.pyannote[375].end 3592.65096875
transcript.pyannote[376].speaker SPEAKER_05
transcript.pyannote[376].start 3593.17409375
transcript.pyannote[376].end 3593.44409375
transcript.pyannote[377].speaker SPEAKER_05
transcript.pyannote[377].start 3593.73096875
transcript.pyannote[377].end 3597.37596875
transcript.pyannote[378].speaker SPEAKER_04
transcript.pyannote[378].start 3598.05096875
transcript.pyannote[378].end 3599.99159375
transcript.pyannote[379].speaker SPEAKER_03
transcript.pyannote[379].start 3605.84721875
transcript.pyannote[379].end 3613.08659375
transcript.pyannote[380].speaker SPEAKER_03
transcript.pyannote[380].start 3613.39034375
transcript.pyannote[380].end 3654.14346875
transcript.pyannote[381].speaker SPEAKER_03
transcript.pyannote[381].start 3654.36284375
transcript.pyannote[381].end 3674.47784375
transcript.pyannote[382].speaker SPEAKER_05
transcript.pyannote[382].start 3675.05159375
transcript.pyannote[382].end 3676.24971875
transcript.pyannote[383].speaker SPEAKER_05
transcript.pyannote[383].start 3676.63784375
transcript.pyannote[383].end 3685.07534375
transcript.pyannote[384].speaker SPEAKER_05
transcript.pyannote[384].start 3685.75034375
transcript.pyannote[384].end 3688.04534375
transcript.pyannote[385].speaker SPEAKER_05
transcript.pyannote[385].start 3688.60221875
transcript.pyannote[385].end 3690.52596875
transcript.pyannote[386].speaker SPEAKER_05
transcript.pyannote[386].start 3690.84659375
transcript.pyannote[386].end 3692.07846875
transcript.pyannote[387].speaker SPEAKER_05
transcript.pyannote[387].start 3692.44971875
transcript.pyannote[387].end 3694.08659375
transcript.pyannote[388].speaker SPEAKER_05
transcript.pyannote[388].start 3694.79534375
transcript.pyannote[388].end 3697.19159375
transcript.pyannote[389].speaker SPEAKER_05
transcript.pyannote[389].start 3697.78221875
transcript.pyannote[389].end 3708.07596875
transcript.pyannote[390].speaker SPEAKER_05
transcript.pyannote[390].start 3708.81846875
transcript.pyannote[390].end 3711.60284375
transcript.pyannote[391].speaker SPEAKER_05
transcript.pyannote[391].start 3712.21034375
transcript.pyannote[391].end 3715.39971875
transcript.pyannote[392].speaker SPEAKER_05
transcript.pyannote[392].start 3715.87221875
transcript.pyannote[392].end 3727.71846875
transcript.pyannote[393].speaker SPEAKER_05
transcript.pyannote[393].start 3727.83659375
transcript.pyannote[393].end 3759.91596875
transcript.pyannote[394].speaker SPEAKER_05
transcript.pyannote[394].start 3760.42221875
transcript.pyannote[394].end 3760.69221875
transcript.pyannote[395].speaker SPEAKER_03
transcript.pyannote[395].start 3761.18159375
transcript.pyannote[395].end 3804.24659375
transcript.pyannote[396].speaker SPEAKER_05
transcript.pyannote[396].start 3804.78659375
transcript.pyannote[396].end 3805.12409375
transcript.pyannote[397].speaker SPEAKER_05
transcript.pyannote[397].start 3805.46159375
transcript.pyannote[397].end 3810.35534375
transcript.pyannote[398].speaker SPEAKER_05
transcript.pyannote[398].start 3810.99659375
transcript.pyannote[398].end 3818.25284375
transcript.pyannote[399].speaker SPEAKER_05
transcript.pyannote[399].start 3818.87721875
transcript.pyannote[399].end 3827.01096875
transcript.pyannote[400].speaker SPEAKER_05
transcript.pyannote[400].start 3827.34846875
transcript.pyannote[400].end 3828.68159375
transcript.pyannote[401].speaker SPEAKER_05
transcript.pyannote[401].start 3828.88409375
transcript.pyannote[401].end 3830.33534375
transcript.pyannote[402].speaker SPEAKER_05
transcript.pyannote[402].start 3830.60534375
transcript.pyannote[402].end 3831.44909375
transcript.pyannote[403].speaker SPEAKER_05
transcript.pyannote[403].start 3832.02284375
transcript.pyannote[403].end 3832.49534375
transcript.pyannote[404].speaker SPEAKER_05
transcript.pyannote[404].start 3833.15346875
transcript.pyannote[404].end 3833.47409375
transcript.pyannote[405].speaker SPEAKER_03
transcript.pyannote[405].start 3833.47409375
transcript.pyannote[405].end 3833.84534375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 3833.84534375
transcript.pyannote[406].end 3834.23346875
transcript.pyannote[407].speaker SPEAKER_03
transcript.pyannote[407].start 3834.23346875
transcript.pyannote[407].end 3834.73971875
transcript.pyannote[408].speaker SPEAKER_03
transcript.pyannote[408].start 3834.89159375
transcript.pyannote[408].end 3837.50721875
transcript.pyannote[409].speaker SPEAKER_04
transcript.pyannote[409].start 3839.39721875
transcript.pyannote[409].end 3842.31659375
transcript.pyannote[410].speaker SPEAKER_04
transcript.pyannote[410].start 3842.83971875
transcript.pyannote[410].end 3845.26971875
transcript.pyannote[411].speaker SPEAKER_04
transcript.pyannote[411].start 3845.53971875
transcript.pyannote[411].end 3846.88971875
transcript.pyannote[412].speaker SPEAKER_04
transcript.pyannote[412].start 3847.78409375
transcript.pyannote[412].end 3848.81346875
transcript.pyannote[413].speaker SPEAKER_04
transcript.pyannote[413].start 3849.89346875
transcript.pyannote[413].end 3852.25596875
transcript.pyannote[414].speaker SPEAKER_04
transcript.pyannote[414].start 3852.69471875
transcript.pyannote[414].end 3853.01534375
transcript.pyannote[415].speaker SPEAKER_04
transcript.pyannote[415].start 3853.45409375
transcript.pyannote[415].end 3853.89284375
transcript.pyannote[416].speaker SPEAKER_04
transcript.pyannote[416].start 3857.25096875
transcript.pyannote[416].end 3859.95096875
transcript.pyannote[417].speaker SPEAKER_07
transcript.pyannote[417].start 3868.27034375
transcript.pyannote[417].end 3868.40534375
transcript.pyannote[418].speaker SPEAKER_04
transcript.pyannote[418].start 3868.40534375
transcript.pyannote[418].end 3868.45596875
transcript.pyannote[419].speaker SPEAKER_04
transcript.pyannote[419].start 3868.50659375
transcript.pyannote[419].end 3874.26096875
transcript.pyannote[420].speaker SPEAKER_04
transcript.pyannote[420].start 3874.64909375
transcript.pyannote[420].end 3875.62784375
transcript.pyannote[421].speaker SPEAKER_04
transcript.pyannote[421].start 3876.18471875
transcript.pyannote[421].end 3885.65159375
transcript.pyannote[422].speaker SPEAKER_04
transcript.pyannote[422].start 3886.57971875
transcript.pyannote[422].end 3888.23346875
transcript.pyannote[423].speaker SPEAKER_04
transcript.pyannote[423].start 3891.79409375
transcript.pyannote[423].end 3899.59034375
transcript.pyannote[424].speaker SPEAKER_04
transcript.pyannote[424].start 3899.75909375
transcript.pyannote[424].end 3905.54721875
transcript.pyannote[425].speaker SPEAKER_04
transcript.pyannote[425].start 3905.85096875
transcript.pyannote[425].end 3909.69846875
transcript.pyannote[426].speaker SPEAKER_04
transcript.pyannote[426].start 3912.92159375
transcript.pyannote[426].end 3913.66409375
transcript.pyannote[427].speaker SPEAKER_01
transcript.pyannote[427].start 3913.66409375
transcript.pyannote[427].end 3913.68096875
transcript.pyannote[428].speaker SPEAKER_01
transcript.pyannote[428].start 3916.09409375
transcript.pyannote[428].end 3916.66784375
transcript.pyannote[429].speaker SPEAKER_01
transcript.pyannote[429].start 3917.47784375
transcript.pyannote[429].end 3918.01784375
transcript.pyannote[430].speaker SPEAKER_01
transcript.pyannote[430].start 3918.45659375
transcript.pyannote[430].end 3919.89096875
transcript.pyannote[431].speaker SPEAKER_01
transcript.pyannote[431].start 3921.81471875
transcript.pyannote[431].end 3927.50159375
transcript.pyannote[432].speaker SPEAKER_01
transcript.pyannote[432].start 3928.24409375
transcript.pyannote[432].end 3946.40159375
transcript.pyannote[433].speaker SPEAKER_01
transcript.pyannote[433].start 3946.70534375
transcript.pyannote[433].end 3952.98284375
transcript.pyannote[434].speaker SPEAKER_01
transcript.pyannote[434].start 3953.05034375
transcript.pyannote[434].end 3960.47534375
transcript.pyannote[435].speaker SPEAKER_01
transcript.pyannote[435].start 3961.55534375
transcript.pyannote[435].end 3962.01096875
transcript.pyannote[436].speaker SPEAKER_01
transcript.pyannote[436].start 3964.74471875
transcript.pyannote[436].end 3965.62221875
transcript.pyannote[437].speaker SPEAKER_01
transcript.pyannote[437].start 3968.77784375
transcript.pyannote[437].end 3969.26721875
transcript.pyannote[438].speaker SPEAKER_01
transcript.pyannote[438].start 3973.85721875
transcript.pyannote[438].end 3978.12659375
transcript.pyannote[439].speaker SPEAKER_01
transcript.pyannote[439].start 3980.67471875
transcript.pyannote[439].end 3983.07096875
transcript.pyannote[440].speaker SPEAKER_01
transcript.pyannote[440].start 3983.47596875
transcript.pyannote[440].end 3983.98221875
transcript.pyannote[441].speaker SPEAKER_01
transcript.pyannote[441].start 3984.37034375
transcript.pyannote[441].end 3990.04034375
transcript.pyannote[442].speaker SPEAKER_01
transcript.pyannote[442].start 3991.23846875
transcript.pyannote[442].end 3992.23409375
transcript.pyannote[443].speaker SPEAKER_01
transcript.pyannote[443].start 3993.51659375
transcript.pyannote[443].end 3994.98471875
transcript.pyannote[444].speaker SPEAKER_01
transcript.pyannote[444].start 3995.54159375
transcript.pyannote[444].end 3996.23346875
transcript.pyannote[445].speaker SPEAKER_01
transcript.pyannote[445].start 3996.48659375
transcript.pyannote[445].end 3997.46534375
transcript.pyannote[446].speaker SPEAKER_04
transcript.pyannote[446].start 4002.52784375
transcript.pyannote[446].end 4004.50221875
transcript.pyannote[447].speaker SPEAKER_04
transcript.pyannote[447].start 4004.55284375
transcript.pyannote[447].end 4006.03784375
transcript.pyannote[448].speaker SPEAKER_01
transcript.pyannote[448].start 4010.57721875
transcript.pyannote[448].end 4011.91034375
transcript.pyannote[449].speaker SPEAKER_01
transcript.pyannote[449].start 4012.97346875
transcript.pyannote[449].end 4013.96909375
transcript.pyannote[450].speaker SPEAKER_01
transcript.pyannote[450].start 4015.04909375
transcript.pyannote[450].end 4015.57221875
transcript.pyannote[451].speaker SPEAKER_01
transcript.pyannote[451].start 4015.70721875
transcript.pyannote[451].end 4017.37784375
transcript.pyannote[452].speaker SPEAKER_01
transcript.pyannote[452].start 4017.79971875
transcript.pyannote[452].end 4019.84159375
transcript.pyannote[453].speaker SPEAKER_01
transcript.pyannote[453].start 4020.66846875
transcript.pyannote[453].end 4021.02284375
transcript.pyannote[454].speaker SPEAKER_01
transcript.pyannote[454].start 4021.79909375
transcript.pyannote[454].end 4022.94659375
transcript.pyannote[455].speaker SPEAKER_01
transcript.pyannote[455].start 4024.51596875
transcript.pyannote[455].end 4032.73409375
transcript.pyannote[456].speaker SPEAKER_01
transcript.pyannote[456].start 4033.20659375
transcript.pyannote[456].end 4037.45909375
transcript.pyannote[457].speaker SPEAKER_01
transcript.pyannote[457].start 4038.21846875
transcript.pyannote[457].end 4044.54659375
transcript.pyannote[458].speaker SPEAKER_01
transcript.pyannote[458].start 4045.01909375
transcript.pyannote[458].end 4046.13284375
transcript.pyannote[459].speaker SPEAKER_01
transcript.pyannote[459].start 4046.70659375
transcript.pyannote[459].end 4051.48221875
transcript.pyannote[460].speaker SPEAKER_01
transcript.pyannote[460].start 4051.76909375
transcript.pyannote[460].end 4053.59159375
transcript.pyannote[461].speaker SPEAKER_01
transcript.pyannote[461].start 4053.84471875
transcript.pyannote[461].end 4057.57409375
transcript.pyannote[462].speaker SPEAKER_01
transcript.pyannote[462].start 4057.81034375
transcript.pyannote[462].end 4061.03346875
transcript.pyannote[463].speaker SPEAKER_01
transcript.pyannote[463].start 4061.33721875
transcript.pyannote[463].end 4064.12159375
transcript.pyannote[464].speaker SPEAKER_01
transcript.pyannote[464].start 4064.66159375
transcript.pyannote[464].end 4070.19659375
transcript.pyannote[465].speaker SPEAKER_01
transcript.pyannote[465].start 4075.74846875
transcript.pyannote[465].end 4075.84971875
transcript.pyannote[466].speaker SPEAKER_01
transcript.pyannote[466].start 4075.96784375
transcript.pyannote[466].end 4076.03534375
transcript.pyannote[467].speaker SPEAKER_01
transcript.pyannote[467].start 4076.18721875
transcript.pyannote[467].end 4076.57534375
transcript.pyannote[468].speaker SPEAKER_01
transcript.pyannote[468].start 4076.67659375
transcript.pyannote[468].end 4077.62159375
transcript.pyannote[469].speaker SPEAKER_01
transcript.pyannote[469].start 4077.97596875
transcript.pyannote[469].end 4078.02659375
transcript.pyannote[470].speaker SPEAKER_01
transcript.pyannote[470].start 4078.75221875
transcript.pyannote[470].end 4079.05596875
transcript.pyannote[471].speaker SPEAKER_01
transcript.pyannote[471].start 4079.52846875
transcript.pyannote[471].end 4081.26659375
transcript.pyannote[472].speaker SPEAKER_01
transcript.pyannote[472].start 4081.45221875
transcript.pyannote[472].end 4081.85721875
transcript.pyannote[473].speaker SPEAKER_01
transcript.pyannote[473].start 4083.17346875
transcript.pyannote[473].end 4083.69659375
transcript.pyannote[474].speaker SPEAKER_01
transcript.pyannote[474].start 4084.08471875
transcript.pyannote[474].end 4085.82284375
transcript.pyannote[475].speaker SPEAKER_01
transcript.pyannote[475].start 4086.98721875
transcript.pyannote[475].end 4088.45534375
transcript.pyannote[476].speaker SPEAKER_01
transcript.pyannote[476].start 4088.87721875
transcript.pyannote[476].end 4089.85596875
transcript.pyannote[477].speaker SPEAKER_01
transcript.pyannote[477].start 4090.32846875
transcript.pyannote[477].end 4091.76284375
transcript.pyannote[478].speaker SPEAKER_01
transcript.pyannote[478].start 4092.42096875
transcript.pyannote[478].end 4093.82159375
transcript.pyannote[479].speaker SPEAKER_01
transcript.pyannote[479].start 4094.49659375
transcript.pyannote[479].end 4097.61846875
transcript.pyannote[480].speaker SPEAKER_01
transcript.pyannote[480].start 4098.02346875
transcript.pyannote[480].end 4101.49971875
transcript.pyannote[481].speaker SPEAKER_01
transcript.pyannote[481].start 4101.80346875
transcript.pyannote[481].end 4106.30909375
transcript.pyannote[482].speaker SPEAKER_01
transcript.pyannote[482].start 4106.73096875
transcript.pyannote[482].end 4108.01346875
transcript.pyannote[483].speaker SPEAKER_01
transcript.pyannote[483].start 4108.31721875
transcript.pyannote[483].end 4109.09346875
transcript.pyannote[484].speaker SPEAKER_01
transcript.pyannote[484].start 4109.38034375
transcript.pyannote[484].end 4113.05909375
transcript.pyannote[485].speaker SPEAKER_01
transcript.pyannote[485].start 4113.17721875
transcript.pyannote[485].end 4113.76784375
transcript.pyannote[486].speaker SPEAKER_01
transcript.pyannote[486].start 4115.94471875
transcript.pyannote[486].end 4116.02909375
transcript.pyannote[487].speaker SPEAKER_04
transcript.pyannote[487].start 4116.02909375
transcript.pyannote[487].end 4116.24846875
transcript.pyannote[488].speaker SPEAKER_01
transcript.pyannote[488].start 4116.41721875
transcript.pyannote[488].end 4116.50159375
transcript.pyannote[489].speaker SPEAKER_04
transcript.pyannote[489].start 4116.50159375
transcript.pyannote[489].end 4126.25534375
transcript.pyannote[490].speaker SPEAKER_04
transcript.pyannote[490].start 4127.25096875
transcript.pyannote[490].end 4128.61784375
transcript.pyannote[491].speaker SPEAKER_04
transcript.pyannote[491].start 4129.02284375
transcript.pyannote[491].end 4135.84034375
transcript.pyannote[492].speaker SPEAKER_04
transcript.pyannote[492].start 4136.36346875
transcript.pyannote[492].end 4141.29096875
transcript.pyannote[493].speaker SPEAKER_04
transcript.pyannote[493].start 4141.74659375
transcript.pyannote[493].end 4145.03721875
transcript.pyannote[494].speaker SPEAKER_04
transcript.pyannote[494].start 4145.52659375
transcript.pyannote[494].end 4148.78346875
transcript.whisperx[0].start 214.872
transcript.whisperx[0].end 215.366
transcript.whisperx[0].text 需求是好
transcript.whisperx[1].start 469.1
transcript.whisperx[1].end 469.751
transcript.whisperx[1].text 谢谢观看
transcript.whisperx[2].start 522.065
transcript.whisperx[2].end 522.206
transcript.whisperx[2].text 谢谢观看,下次见!
transcript.whisperx[3].start 670.411
transcript.whisperx[3].end 670.492
transcript.whisperx[3].text 谢谢大家
transcript.whisperx[4].start 885.162
transcript.whisperx[4].end 885.627
transcript.whisperx[4].text 由 Amara.org 社群提供的字幕
transcript.whisperx[5].start 1038.289
transcript.whisperx[5].end 1039.07
transcript.whisperx[5].text MING PAO CANADA MANGA
transcript.whisperx[6].start 1166.846
transcript.whisperx[6].end 1168.172
transcript.whisperx[6].text 谢谢观看
transcript.whisperx[7].start 1272.598
transcript.whisperx[7].end 1272.699
transcript.whisperx[7].text 谢谢大家
transcript.whisperx[8].start 1484.002
transcript.whisperx[8].end 1484.459
transcript.whisperx[8].text 谢谢观看 欢迎订阅我的频道
transcript.whisperx[9].start 1669.588
transcript.whisperx[9].end 1685.737
transcript.whisperx[9].text 好 我們現在要開會進行討論事項請宣讀討論事項繼續審查115年度專政部總議專案關於公平交易委員會單位預算及附屬單位預算分餘的部分關於公平交易委員會主管非反托拉斯基金宣傳比
transcript.whisperx[10].start 1692.467
transcript.whisperx[10].end 1711.414
transcript.whisperx[10].text 因為在場委員只有我一個我們先介紹一下這個因為列席的這個機關單位首長首先公平交易委員會代理主委陳志明主任秘書毛浩吉綜合規劃處處長洪德昌服務業競爭處處長胡竺順製造業競爭處處長胡光宇
transcript.whisperx[11].start 1718.209
transcript.whisperx[11].end 1737.236
transcript.whisperx[11].text 公平競爭處處長葉天福法律事務處處長沈麗玉資訊及經濟分析室主任鄭嘉琳秘書室主任曹樹偉人事室主任劉立貞主計處主任陳盈環
transcript.whisperx[12].start 1740.003
transcript.whisperx[12].end 1749.352
transcript.whisperx[12].text 政風市主任高青松行政院主計總處公務預算處檢任視察菸育平基金預算處科長王佩珊
transcript.whisperx[13].start 1756.467
transcript.whisperx[13].end 1783.793
transcript.whisperx[13].text 公民交易委員會單位預算及反托拉斯基金於4月23號第10次會議詢答結束我們今天依序進行審查審查的程序如下公務預算稅率的部分依款別以向為單位稅出的部分依機關別以目為單位依序討論基金的部分照業務計畫基金來源用途及於處
transcript.whisperx[14].start 1784.873
transcript.whisperx[14].end 1801.236
transcript.whisperx[14].text 街角、公庫等逐項審查現在請一併宣讀今日審查項目跟委員提案宣讀完畢後我們再進行協商一五年度公平交易委員會稅入第二款
transcript.whisperx[15].start 1802.023
transcript.whisperx[15].end 1828.292
transcript.whisperx[15].text 罰款及賠償收入第十七項公平交易委員會一億一千八百九十五萬四千元第四款財產收入十八項公平交易委員會二十六萬元第七款其他收入十八項公平交易委員會七萬元稅出部分第二款行政院主管第十三項公平交易委員會三億五千七百萬三千元第一幕一般行政三億三千四百一十九萬元
transcript.whisperx[16].start 1829.412
transcript.whisperx[16].end 1843.779
transcript.whisperx[16].text 第二幕公平交易業務2231萬3千元第三幕第一預備金50萬元反托拉斯基金附屬單位預算業務計劃請參閱基金來源5482萬2千元基金用途6707萬3千元本期短處1225萬1千元結繳公庫無劣數公平交易委員會提案
transcript.whisperx[17].start 1857.628
transcript.whisperx[17].end 1870.437
transcript.whisperx[17].text 第一案公平交易業務凍結10%張家俊委員提案第二案凍結3%謝一鳳等人提案第三案凍結3%謝一鳳等人提案第四案限制競爭行為調查處理凍結10%張家俊等人提案第五案凍結50萬元邱志偉等人提案第六案
transcript.whisperx[18].start 1879.262
transcript.whisperx[18].end 1901.128
transcript.whisperx[18].text 凍結百分之五邱毅寅等人提案第七案凍結百分之五賴瑞榮等人提案第八案第一三級產業獨佔結合及聯合行為之調查處理凍結五十萬元呂玉玲等人提案第九案凍結百分之十張家俊等人提案第十案業務費凍結百分之五張宗嘉斌等人提案第十一案
transcript.whisperx[19].start 1901.648
transcript.whisperx[19].end 1920.059
transcript.whisperx[19].text 第二集產業獨占結合及聯合行為之調查處理凍結八十萬元洪玉祥等人提案第十案凍結六十萬元李玉玲等人提案第十三案不公平競爭行為調查處理及多層次傳銷管理簡列五十
transcript.whisperx[20].start 1920.677
transcript.whisperx[20].end 1931.505
transcript.whisperx[20].text 50%楊瓊英等人提案 第14案檢列20萬元 凍結30萬元賴日榮等人提案 第15案檢列39,000元陳亭飛等人提案 第16案凍結60萬元呂一林等人提案 第17案凍結20萬元邱志偉等人提案 第18案凍結20萬元邱志偉等人提案 第19案凍結3%陳亭飛等人提案 第20案不公平競爭行為調查處理及多層次傳銷管理 凍結
transcript.whisperx[21].start 1950.395
transcript.whisperx[21].end 1971.021
transcript.whisperx[21].text 百分之二十陳超明等人提案 第二十一案凍結百分之十陳超明等人提案 第二十二案凍結百分之十陳超明等人提案 第二十三案凍結百分之五鍾嘉斌等人提案 第二十四案法務及行政救濟業務減列五萬元陳廷飛等人提案 第二十五案凍結五十萬元
transcript.whisperx[22].start 1973.359
transcript.whisperx[22].end 1982.967
transcript.whisperx[22].text 李玉玲等人提案 第26案凍結10%張家俊等人提案 第27案凍結20萬元邱志偉等人提案 第28案凍結5%賴銳榮等人提案 第29案凍結3%陳晴飛等人提案 第30案綜合規劃及宣導業務檢列10%楊瓊英等人提案 第31案檢列10%凍結5%賴銳榮等人提案 第32案凍結50萬元李玉玲等人提案 第33案凍結
transcript.whisperx[23].start 2000.714
transcript.whisperx[23].end 2003.076
transcript.whisperx[23].text 10%張家俊等人提案第34案凍結20萬元邱志偉等人提案第35案凍結
transcript.whisperx[24].start 2007.642
transcript.whisperx[24].end 2014.304
transcript.whisperx[24].text 2%陳亭飛等人提案第36案凍結1%邱毅英等人提案第37案政策擬定及國際交流業務簡列20萬元凍結5%賴瑞榮等人提案第38案凍結50萬元呂毅寧等人提案第39案業務費凍結1%宗家兵等人提案第40案至第60案主決議請參閱
transcript.whisperx[25].start 2032.83
transcript.whisperx[25].end 2046.297
transcript.whisperx[25].text 反托拉斯基金預算提案第61案基金用途凍結600萬元邱志偉等人提案第62案強化反托拉斯執法計劃檢列100萬元凍結5%賴瑞榮等人提案第63案凍結500萬元邱志偉等人提案第64案凍結
transcript.whisperx[26].start 2054.203
transcript.whisperx[26].end 2068.797
transcript.whisperx[26].text 凍結2%陳廷飛等人提案第65案服務費用向下媒體政策及業務宣導費減列100萬元楊瓊英等人提案第66案會費捐助補助分攤照護救濟與交流活動費向下捐助補助與獎勵
transcript.whisperx[27].start 2070.981
transcript.whisperx[27].end 2074.987
transcript.whisperx[27].text 凍結10%張家俊等人提案第67案檢舉違法聯合行為獎金支出凍結100萬元呂玲等人提案第68案數位經濟競爭政策研究及
transcript.whisperx[28].start 2083.777
transcript.whisperx[28].end 2090.623
transcript.whisperx[28].text 倡議計劃檢列50萬元凍結5%賴瑞榮等人提案第69案檢列50萬元陳廷飛等人提案第70案凍結10%陳昌明等人提案第71案凍結10%楊瓊瑛等人提案第72案凍結10%張家俊等人提案
transcript.whisperx[29].start 2101.973
transcript.whisperx[29].end 2107.016
transcript.whisperx[29].text 第73案凍結200萬元邱志偉等人提案第74案數位匯流新時代之不實廣告及不動產查查計劃凍結10%陳超明等人提案第75案至第78案主決議請參閱宣讀完畢
transcript.whisperx[30].start 2121.294
transcript.whisperx[30].end 2129.741
transcript.whisperx[30].text 好 我們現在先休息一下因為委員人數還不到三人先休息
transcript.whisperx[31].start 2428.887
transcript.whisperx[31].end 2429.733
transcript.whisperx[31].text 对啊
transcript.whisperx[32].start 2438.442
transcript.whisperx[32].end 2463.877
transcript.whisperx[32].text 好我們現在我們現在進行這個115年度公平交友委員會公務預算及反托拉斯基金的預算的協商那各位同仁這個第一案到第三案是屬於通案以往的慣例都是先處理細項通案是暫行保留那因為這裡頭通案的部分在場的委員有謝依鳳委員還是你有沒有異議這樣子
transcript.whisperx[33].start 2465.977
transcript.whisperx[33].end 2491.051
transcript.whisperx[33].text 我們是不是請公平會先做一個決議就是說先做一個主決議因為對於Grabbing Fupenda的這個事情事關重大那大家所有那個社會各界都關注那畢竟這牽涉到外送平台的相關的不管是就是說外送員的權利以及店家的
transcript.whisperx[34].start 2492.251
transcript.whisperx[34].end 2517.42
transcript.whisperx[34].text 這個就是說相關的抽成還有未來有可能因應那個數據就是說數位的那個數據壟斷的相關的疑義那是不是能夠做一個組決議那我們知道說這個東西就是說大家都很在意那如果我們做了組決議以後那在場的委員覺得說
transcript.whisperx[35].start 2518.86
transcript.whisperx[35].end 2544.458
transcript.whisperx[35].text 可以接受那是不是因為他們的預算也很少啦說實在的那是不是就是看當然要看他們做的決議怎麼樣啊才能夠那個才能夠是他們做的決議因為我覺得他們預算很少啊如果又給他凍結又怎樣啊他們好像是不是故意就乾脆就不要做事了應該要給他們做多一點事情喔是 崔醫
transcript.whisperx[36].start 2545.479
transcript.whisperx[36].end 2560.971
transcript.whisperx[36].text 我看謝委員的提案意見方向我很支持剛剛看是謝委員方是不是第二案他有一個這個動3%嘛那是不是說改成主角這樣子那個謝委員這個
transcript.whisperx[37].start 2564.292
transcript.whisperx[37].end 2588.36
transcript.whisperx[37].text 你在要求我啊因為你的這個你現在是在一般通用這邊的通案這邊的話是有兩案嘛那你的第二案的話跟這個第三案那我現在是說你現在是第二案跟第三案同樣改成主決議還是說第二案而已還是第三案而已這樣
transcript.whisperx[38].start 2588.956
transcript.whisperx[38].end 2614.338
transcript.whisperx[38].text 第三案可以改成主決議啊那我們就是把那個第二案有沒有是不是那個請他們做第二案請說明一下我先念一下我們第三案就是改主決議那主要就是針對GREP這個併購我們的這個Foodpanda這樣子的一個因應的一個做法跟決策沒關係這個你第二案先說明
transcript.whisperx[39].start 2622.091
transcript.whisperx[39].end 2648.223
transcript.whisperx[39].text 那個有關GREP案我們提出一個書面報告我想這個沒有問題我們可以依照委員的指示來辦理那當然就這個預算部分我們是覺得說就如同剛剛委員所講本會的預算本來就有限如果可以的話是不是第2案第3案都改成主決議那提書面報告這個我們可以遵循事來辦理按照我的決議是不是就是兩案第2案
transcript.whisperx[40].start 2649.864
transcript.whisperx[40].end 2667.898
transcript.whisperx[40].text 就按照委員的建議就按照我的主決議來做是不是那您說第幾案60萬是主決議
transcript.whisperx[41].start 2668.973
transcript.whisperx[41].end 2698.195
transcript.whisperx[41].text 我要重寫一個吧你們是不是應該要有一個新的吧我剛才一直都說你們應該要有一個新的作為嘛我的提議已經是啦那我現在是要求你們就是說更精進的一個做法啊對啊因為你們對於這個整個案情最了解嘛是就是說審查的意見那你們是不是應該要研擬一下然後再因為我當然知道我有組決議啊只是說我想說你怎麼會
transcript.whisperx[42].start 2700.435
transcript.whisperx[42].end 2727.603
transcript.whisperx[42].text 我是要求你們工作不是你們就按照我的決議做是不是那不然我們今天講這個都沒有意思了是不是那我們就請我們會按照委員的決定來擬主席不好意思那是不是我們先那個部分請他們去研擬那我們就接下去好那我們二三先暫時保留你們先三而已二四改什麼二保留
transcript.whisperx[43].start 2730.225
transcript.whisperx[43].end 2740.631
transcript.whisperx[43].text 三改組決議然後二保留那你們再去針對二這個寫一個剛剛我們這個Grab對Uber收購你們的因應機制好不好等委員看完我們再回來討論
transcript.whisperx[44].start 2743.083
transcript.whisperx[44].end 2763.438
transcript.whisperx[44].text 好那我們現在繼續審查這個公平交易委員會公平交易第二幕公平交易業務的我們大概是從結因為你們只有一個幕所以我們從第四案到第十二案主要這邊都是第一節這邊有關的預算的委員的提案
transcript.whisperx[45].start 2764.551
transcript.whisperx[45].end 2779.296
transcript.whisperx[45].text 那這邊我先稍微說明一下因為經過某些委員的溝通第5案 邱志偉委員改組決議第7案 賴銳龍委員改組決議第8案 呂玉琳委員改組決議第12案 呂玉琳委員改組決議
transcript.whisperx[46].start 2789.039
transcript.whisperx[46].end 2797.757
transcript.whisperx[46].text 好然後的話在場的我們請中委員第十案好改組決議第十案改組決議
transcript.whisperx[47].start 2802.349
transcript.whisperx[47].end 2826.318
transcript.whisperx[47].text 好 第十一案是我的提案主要的話我過去在質詢你們公評會的時候那我這邊對於你們的一個執行的一個成效的一個績效的指標比較過於單一第二項就是說你的執法效率跟實效性的評估機制
transcript.whisperx[48].start 2827.486
transcript.whisperx[48].end 2853.145
transcript.whisperx[48].text 那因為當時我會這樣子列這個預算提案是因為當時我們在調查這個不管是塑膠袋、濾青、然後醫材用品等等這些東西的一些的我們有講這個廠商拱斷的一個行為但是在你們質詢跟委員的應答過程我覺得這個即時性以及這個KPI對應的結果好像不是那麼的精進
transcript.whisperx[49].start 2854.386
transcript.whisperx[49].end 2878.648
transcript.whisperx[49].text 那另外的話呢就是我的第五點我一直在質詢的就是說你對這個新型態的這一個數位平台的一個競爭那你們的研究的能量以及未來對應的這個KPI的做法就是你應該要跑在別人的前面不管是在這一個演算法的一個拱段資料的串通甚至包含像剛剛謝委員講的
transcript.whisperx[50].start 2880.63
transcript.whisperx[50].end 2909.582
transcript.whisperx[50].text 這些所謂的數位平臺之間可能是間接然後資料的交換演算法的定價或者是對這些平臺的這個員工客戶商店的一個不公平的一個行為那這個比較看不到因為它比較是屬於技術面那當主委也說過這個好像這個我們的人才技術不足所以我這邊的提案是凍結80萬那我想請這個主委稍微說明一下
transcript.whisperx[51].start 2917.759
transcript.whisperx[51].end 2941.631
transcript.whisperx[51].text 謝謝委員的提醒跟建議我想裡面談的東西的確都是大部分都是本會面臨所目前所面臨需要再進一步精進跟改善的地方那另外一半有些問題的確是受制於人員的編制還有預算的一些限制那我想我們會持續去改進尤其像物價的部分我們是有在配合做配合行政院在做一些物價的一些
transcript.whisperx[52].start 2942.411
transcript.whisperx[52].end 2961.581
transcript.whisperx[52].text 即時性的監測還有一些即時性的改進那委員很關心那個數位的部分這部分也是我們未來執法的一個很重要的重點那我們最近發布了AI政策聲明的白皮書這也是花了很多時間那同樣也是投入很多的心血來完成那當然我們就人力跟技術人才來講
transcript.whisperx[53].start 2962.682
transcript.whisperx[53].end 2988.152
transcript.whisperx[53].text 如果要跟先進國家來比的話 我們的確是還有點落差所以就如同我在業務報告有跟委員報告過的就是我們大概就從在我們的預算範圍之內就會內的人才我們來精進訓練那當然這部分還包含對委外啦還有跟學者專家的合作目前短期來講就是靠這個方法來精進那長期來講當然我們要繼續進一步思考如何提升自己的數位執法能力
transcript.whisperx[54].start 2988.692
transcript.whisperx[54].end 3008.76
transcript.whisperx[54].text 那不過就是因為這方面的精進的確需要有相當這個資金的投入尤其像軟硬體的設備的增進所以我們是覺得說如果這邊可以的話委員是不是可以改組決議啊那我們會提一個詳細的書面報告來跟委員說明到底未來我們要怎麼做那大概是我們的想法目前大概是這樣
transcript.whisperx[55].start 3011.616
transcript.whisperx[55].end 3033.748
transcript.whisperx[55].text 好我這邊原本是動80萬你這個是384萬好這個請你改成我就寫成那個一樣主決議第11案但是我希望將來我們在質詢還是強化追蹤你的這些數位平台跟這個績效指標的即時性好不好OK
transcript.whisperx[56].start 3039.685
transcript.whisperx[56].end 3057.065
transcript.whisperx[56].text 這一節的話看起來預算就照列第一節的預算就照列因為其他委員看一下邱映穎委員有沒有第六案你要改主決議還是第六案改主決議其他委員
transcript.whisperx[57].start 3059.124
transcript.whisperx[57].end 3077.235
transcript.whisperx[57].text 好所以我們第一節的這個預算我們就照列那其他的話相關依主決議的改變便利好那接下來我們進行這個第二節的一個預算主要的話是從第13案到第23案
transcript.whisperx[58].start 3079.192
transcript.whisperx[58].end 3104.022
transcript.whisperx[58].text 那這邊稍微經過一些公民會跟委員的溝通第16案呂玉玲委員改組決議第17案邱志偉委員提案改組決議第18案邱志偉委員改組決議第20案陳昌明委員改組決議第21案陳昌明委員改組決議第22案陳昌明委員改組決議
transcript.whisperx[59].start 3105.646
transcript.whisperx[59].end 3132.706
transcript.whisperx[59].text 那其他有列案然後在場的委員有鍾嘉斌委員第23案鍾委員23案有沒有好23的部分呢也可以改成主決議請那個公評會就我們的提案內容啊來做個提出他的說明就書面報告
transcript.whisperx[60].start 3137.349
transcript.whisperx[60].end 3156.616
transcript.whisperx[60].text 好那個主委這樣可以好 遵照辦理那目前的話在場的委員大部分還有一些都改組決議所以我們第二節的預算這個照列其他有些改成組決議的請遵照辦理
transcript.whisperx[61].start 3158.422
transcript.whisperx[61].end 3187.506
transcript.whisperx[61].text 好那接下來的話我們進行這個第三節的預算從第24案到第29案那其中的話呢第25案李玉玲委員該主決議第27案邱志偉委員該主決議第28案賴瑞榮委員該主決議其他在場的委員在這一幕也沒有提案
transcript.whisperx[62].start 3188.362
transcript.whisperx[62].end 3197.877
transcript.whisperx[62].text 其他委員有沒有要說明的 沒有沒有的話我們第三節的預算我們就照列
transcript.whisperx[63].start 3199.52
transcript.whisperx[63].end 3224.527
transcript.whisperx[63].text 好接下來我們進行第4節的這個預算那主要第4節的預算來講的話我們從第30案到第36案那其中呢第32案呂玉玲委員該主決議第34案邱志偉委員該主決議主席我36案也該主決議好36案請對邱玉玲委員說明
transcript.whisperx[64].start 3226.867
transcript.whisperx[64].end 3227.767
transcript.whisperx[64].text 對 邱映穎委員
transcript.whisperx[65].start 3253.103
transcript.whisperx[65].end 3266.295
transcript.whisperx[65].text 比36案改組決議好那楊瓊瑩委員第30案30案我們有討論過所以勤勉努力做所以我們現在改組決議好 30案改組決議
transcript.whisperx[66].start 3272.674
transcript.whisperx[66].end 3292.05
transcript.whisperx[66].text 所以我稍微再重整一下所以第30案楊瓊瑩改組決議邱毓穎委員第36案改組決議另外這個張家俊委員的提案均改為組決議那等一下議事委員再宣讀另外那個13案啦13號也改組決議楊瓊瑩委員13案改組決議
transcript.whisperx[67].start 3311.735
transcript.whisperx[67].end 3340.947
transcript.whisperx[67].text 好 所以我們第四節的預算就照列接下來我們進行第五節的一個預算37案到第39案那其中第38案 呂育芸委員改組決議鍾嘉斌委員第39案也改組決議好 菜場委員沒有異議所以我們第五節的預算我們也是照列
transcript.whisperx[68].start 3342.233
transcript.whisperx[68].end 3353.661
transcript.whisperx[68].text 好 接下來的話呢 我們進到組決議的部分那第40案組決議陳昌明委員組委組召辦理 41組42組決議4344有修正的嘛你要到那個 對要錄到 我們再重來一遍 從組決議第40案開始
transcript.whisperx[69].start 3374.397
transcript.whisperx[69].end 3389.89
transcript.whisperx[69].text 遵照辦理第41組決議遵照辦理第42組決議遵照辦理第43組決議遵照辦理第44依照修改後的文字遵照辦理第45修正通過了再來第45組決議遵照辦理第46組決議遵照辦理
transcript.whisperx[70].start 3395.654
transcript.whisperx[70].end 3404.797
transcript.whisperx[70].text 47 遵照辦理我們召喚通過 48組決議 遵照辦理召喚通過 49 遵照辦理50組決議 遵照辦理召喚通過 51 遵照辦理召喚通過 52 遵照辦理召喚通過 53 遵照辦理
transcript.whisperx[71].start 3416.024
transcript.whisperx[71].end 3442.659
transcript.whisperx[71].text 召喚通過54 遵照辦理召喚通過55 遵照辦理召喚通過56 遵照辦理召喚通過57 依修改文字遵照辦理好 修正通過58 遵照辦理召喚通過59 依修改文字遵照辦理好 修正通過再來60 遵照辦理召喚通過
transcript.whisperx[72].start 3458.117
transcript.whisperx[72].end 3479.933
transcript.whisperx[72].text 好那我們現在回過來處理這個通案的第二案那你們的主決議進行到好那我們先進行下一個反托拉斯基金的預算
transcript.whisperx[73].start 3484.79
transcript.whisperx[73].end 3494.693
transcript.whisperx[73].text 好那第61案邱志偉委員改組決議第62案賴銳龍委員改組決議第63案邱志偉委員改組決議再來楊瓊英第62到67那我們接下來是楊瓊英委員65案
transcript.whisperx[74].start 3512.096
transcript.whisperx[74].end 3523.661
transcript.whisperx[74].text 好 謝謝主席 要請發言針對於強化反托拉斯執行計畫的部分我也是要勉勵 所以經過溝通之後我們改組決議 謝謝好 65 案改組決議張嬌俊委員 66 案改組決議呂毅林委員的話也改組決議
transcript.whisperx[75].start 3532.876
transcript.whisperx[75].end 3540.04
transcript.whisperx[75].text 所以我們第62到第67案這一個強化反托拉斯執法的計畫這個預算照列
transcript.whisperx[76].start 3544.039
transcript.whisperx[76].end 3563.156
transcript.whisperx[76].text 好那接下來我們進行第68到74案主要是在數位經濟的這個競爭的政策研究跟倡議那提案第70案陳超明委員改組決議73案邱志偉委員改組決議72案張家俊委員改組決議74案陳超明委員改組決議
transcript.whisperx[77].start 3571.803
transcript.whisperx[77].end 3598.469
transcript.whisperx[77].text 那在場的人 楊全文委員 第71案好 謝謝 楊全發言數位經濟競爭政策研究及倡議計畫這個部分我個人認為非常非常的重要但是我們沒有看到當位要怎麼樣去精進所以還是要聽聽當位因為在書面資料裡頭我們看不出精進的方案 請做說明來 請主任說說
transcript.whisperx[78].start 3606.797
transcript.whisperx[78].end 3625.311
transcript.whisperx[78].text 謝謝委員的指導那個有關數位經濟的部分因為它包含的範圍非常大那科技的進步非常快所以我們是持續不斷的進一進當然我剛剛稍微講過距離先進國家的標準我們是還有一段落差需要改進但是就會內的部分我們會強化同仁的數位執法能力
transcript.whisperx[79].start 3625.811
transcript.whisperx[79].end 3652.037
transcript.whisperx[79].text 那對於這個技術面的部分我們會持續去精進我們軟硬體的設施因為畢竟要處理數位經濟你本身內部要有足夠的數位的執法工具那這個部分我們的資金市還有各處市都持續不斷來做那根據關於在台灣在我國比較重視的一些數位的問題包含不實廣告數位不實廣告這都是新興的議題那我們也都持續不斷的往這邊來思考那甚至我也要求公經處對不實廣告這一塊
transcript.whisperx[80].start 3654.477
transcript.whisperx[80].end 3674.29
transcript.whisperx[80].text 如何透過一些數位工具來偵測AI的執法AI的布施廣告等等我們都持續在做那因為數位經濟的執法本來就會比較需要有預算的投入它資金比較大所以這個部分是不是可以如果委員同意的話是不是就可以改成主決議那我們可以提一個詳細的書面報告給委員來說明未來我們要怎麼做
transcript.whisperx[81].start 3675.698
transcript.whisperx[81].end 3693.814
transcript.whisperx[81].text 主席各位同仁因為昨天我們也跟抒發部在討論現在政府做到目前為止就是各自做各自的但是民眾需要的是橫向橫向的一個整合因為橫向的整合單位獨自不可能
transcript.whisperx[82].start 3694.875
transcript.whisperx[82].end 3711.445
transcript.whisperx[82].text 唯一就是這個書畫部那書畫部你有沒有要來做整合的這個事情因為有多少個單位都是重複而且各自發的時候到時候層級不一變成要橫向整合的時候也沒有辦法
transcript.whisperx[83].start 3712.405
transcript.whisperx[83].end 3726.82
transcript.whisperx[83].text 這是我們昨天在跟蘇阿波在討論的所以本席要勉勵的也就是說當然現在我們自己內部要怎麼樣能夠去執行之很重要但是也不可能你們自己做一定是委外
transcript.whisperx[84].start 3728.081
transcript.whisperx[84].end 3754.877
transcript.whisperx[84].text 那我们就非常的这个跟抒发部昨天在讨论就是说你委外的时候参差不齐因为你也不能去你们单位到底你的成绩在哪里所以我们昨天有一个希望也就是建立给抒发部在横向的整合以及单位方面成立抒发部的目的就是这样子嘛那如果还一直放任给各单位各自去那
transcript.whisperx[85].start 3756.518
transcript.whisperx[85].end 3782.144
transcript.whisperx[85].text 這個到時候整合不起來那民眾也沒有得利啊各位報告一下就內部的部分我們的委外基本上我們不會隨隨便便找委外的單位大概都是國內知名的研究單位像太經院還有這個施策會等等那至於對外橫向的聯繫這個其實我們在很多在政策的制定上跟個案的審理上我們都會跟相關的主管機關有一些溝通甚至我們會開一個座談會
transcript.whisperx[86].start 3783.684
transcript.whisperx[86].end 3804.248
transcript.whisperx[86].text 但當然形式上沒有一個很實質說跨部會的一些機制存在不過就是實質上我們在公平教育競爭政策上只要涉及到譬如說數位的議題有一些技術面的甚至於關於數位發展政策的問題我們還是會徵詢數法部跟其他相關部會的這個意見實質上是有在做的所以跟委員大概補充說明一下
transcript.whisperx[87].start 3804.875
transcript.whisperx[87].end 3810.197
transcript.whisperx[87].text 好 那主席是不是容許如此那就是凍結一趴請他們把進進方案書面資料出來使得動之這樣子我們還是要因為如果陳儒剛剛所說的還是維持原來的還是會產生剛剛我所說的在昨天數碼部所產生的這個問題你把你的那個方向
transcript.whisperx[88].start 3833.146
transcript.whisperx[88].end 3840.348
transcript.whisperx[88].text 所以我們第68到74我們要做凍結1%然後再書面報告一個月內好不好是的那就不用一個月書面報告好不好
transcript.whisperx[89].start 3868.537
transcript.whisperx[89].end 3887.505
transcript.whisperx[89].text 好 接下來我們進行組決議的部分第75案組決議 遵照辦理 遭案通過76案組決議 遵照辦理 遭案通過77組決議 遵照辦理 遭案通過78組決議 遵照辦理 遭案通過那我們現在回到
transcript.whisperx[90].start 3892.043
transcript.whisperx[90].end 3919.11
transcript.whisperx[90].text 這一個通案的一個部分的第二案那謝委員的話就提案針對這個Grab併購付胖達涉及這個國外平台之間的整合那這個我們就列第二案就改成這個主決議這邊要宣讀一下第一案那個改為主決議
transcript.whisperx[91].start 3921.857
transcript.whisperx[91].end 3940.211
transcript.whisperx[91].text Grab并购Fupenda案涉及跨国外送平台间的整合尤其公平交易委员会才在114年禁止Uber与Fupenda结合Grab最大股东就是Uber引发外界质疑Uber绕道并购Fupenda企图规避公平交易委员会先前禁止结合
transcript.whisperx[92].start 3940.891
transcript.whisperx[92].end 3940.931
transcript.whisperx[92].text 這什麼數據及
transcript.whisperx[93].start 3980.736
transcript.whisperx[93].end 3994.786
transcript.whisperx[93].text 兼的投資及控制數據兼及對市場競爭的可能影響審慎評估是否同意Grab與Fupenda之結合文憲依奉 洪義祥 楊瓊英 鍾嘉斌 新團斌
transcript.whisperx[94].start 4002.557
transcript.whisperx[94].end 4022.757
transcript.whisperx[94].text 那現在的話請宣讀協商的結論宣讀協商結論公平交易委員會預算第二幕公平交易業務預算照列其中第一案第三案
transcript.whisperx[95].start 4024.671
transcript.whisperx[95].end 4045.363
transcript.whisperx[95].text 第二案改組決議 第三案 第四案 第五案 第六案 第七案 第八案 第九案 第十案 第十一案 第十二案 第十三案 第十一案 第十七案 第十八案 第二十案 二十一 二十二 二十五 二十七 二十八 三十 三十二 三十四 三十六 三十八 三十九均改為組決議
transcript.whisperx[96].start 4046.884
transcript.whisperx[96].end 4069.895
transcript.whisperx[96].text 組決定部分第40案、第41、第42、第43均照案通過第44案修正通過第45案照案通過第46案修正通過第47至第50案均照案通過第51至56均照案通過第57案修正通過第58案照案通過第59案修正通過第60案照案通過
transcript.whisperx[97].start 4073.23
transcript.whisperx[97].end 4075.451
transcript.whisperx[97].text 跟證 第41項 遭案通過
transcript.whisperx[98].start 4087.028
transcript.whisperx[98].end 4102.131
transcript.whisperx[98].text 反托是基金預算部分基金用途除第71案凍結1%提書面報告外區域預算金照列改為主決議的部分第61 62 63 65 66 67 70 72 73 74均改為主決議主決議部分75案 76案 77案 78案均照案通過宣傳品
transcript.whisperx[99].start 4115.95
transcript.whisperx[99].end 4124.844
transcript.whisperx[99].text 好 請問各位同仁 有有人提案的部分 照剛才宣讀的協商結論通過沒有提案的部分均照列 請問有異議
transcript.whisperx[100].start 4128.188
transcript.whisperx[100].end 4148.381
transcript.whisperx[100].text 無異議通過115年度公平交易委員會單位預算及反托拉斯基金預算經審查完略本次會議通過之決議文字授權主席及議事人員整理正式別隨同機關別審查結果調整今日所列議程處理完略現在散會