iVOD / 17495

Field Value
IVOD_ID 17495
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17495
日期 2026-06-04
會議資料.會議代碼 委員會-11-5-23-17
會議資料.屆 11
會議資料.會期 5
會議資料.會次 17
會議資料.種類 委員會
會議資料.委員會代碼[0] 23
會議資料.委員會代碼:str[0] 交通委員會
會議資料.標題 第11屆第5會期交通委員會第17次全體委員會議
影片種類 Full
開始時間 2026-06-04T08:31:08+08:00
結束時間 2026-06-04T12:11:00+08:00
影片長度 03:39:52
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/f826c2e4afc302ddce9649e34646bc228b590722cf65bc4b807a15c9b87617156819e85b24f29a885ea18f28b6918d91.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會期交通委員會第17次全體委員會議(事由:邀請交通部部長、交通部鐵道局局長及台灣高速鐵路股份有限公司董事長就「5月25日高鐵班次嚴重誤點事件」進行專題報告,並備質詢。)
委員名稱 完整會議
委員發言時間 08:31:08 - 12:11:00
transcript.pyannote[0].speaker SPEAKER_05
transcript.pyannote[0].start 1740.23159375
transcript.pyannote[0].end 1745.93534375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 1746.99846875
transcript.pyannote[1].end 1757.93346875
transcript.pyannote[2].speaker SPEAKER_00
transcript.pyannote[2].start 1758.15284375
transcript.pyannote[2].end 1760.36346875
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 1760.53221875
transcript.pyannote[3].end 1764.36284375
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 1764.70034375
transcript.pyannote[4].end 1767.40034375
transcript.pyannote[5].speaker SPEAKER_00
transcript.pyannote[5].start 1767.97409375
transcript.pyannote[5].end 1771.31534375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 1771.68659375
transcript.pyannote[6].end 1773.47534375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 1773.79596875
transcript.pyannote[7].end 1777.18784375
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 1777.86284375
transcript.pyannote[8].end 1779.09471875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 1780.14096875
transcript.pyannote[9].end 1784.56221875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 1784.89971875
transcript.pyannote[10].end 1787.12721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 1787.38034375
transcript.pyannote[11].end 1789.82721875
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 1790.16471875
transcript.pyannote[12].end 1796.84721875
transcript.pyannote[13].speaker SPEAKER_00
transcript.pyannote[13].start 1797.42096875
transcript.pyannote[13].end 1804.20471875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 1804.76159375
transcript.pyannote[14].end 1807.57971875
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 1807.93409375
transcript.pyannote[15].end 1812.89534375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 1813.43534375
transcript.pyannote[16].end 1814.05971875
transcript.pyannote[17].speaker SPEAKER_00
transcript.pyannote[17].start 1814.34659375
transcript.pyannote[17].end 1821.31596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 1822.39596875
transcript.pyannote[18].end 1826.68221875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 1826.90159375
transcript.pyannote[19].end 1832.03159375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 1832.06534375
transcript.pyannote[20].end 1839.69284375
transcript.pyannote[21].speaker SPEAKER_05
transcript.pyannote[21].start 1842.08909375
transcript.pyannote[21].end 1845.02534375
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 1846.78034375
transcript.pyannote[22].end 1848.40034375
transcript.pyannote[23].speaker SPEAKER_05
transcript.pyannote[23].start 1849.68284375
transcript.pyannote[23].end 1853.05784375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 1856.61846875
transcript.pyannote[24].end 1858.03596875
transcript.pyannote[25].speaker SPEAKER_05
transcript.pyannote[25].start 1861.03971875
transcript.pyannote[25].end 1863.77346875
transcript.pyannote[26].speaker SPEAKER_05
transcript.pyannote[26].start 1866.87846875
transcript.pyannote[26].end 1869.39284375
transcript.pyannote[27].speaker SPEAKER_05
transcript.pyannote[27].start 1872.75096875
transcript.pyannote[27].end 1875.14721875
transcript.pyannote[28].speaker SPEAKER_05
transcript.pyannote[28].start 1877.88096875
transcript.pyannote[28].end 1880.32784375
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 1883.75346875
transcript.pyannote[29].end 1890.14909375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 1890.70596875
transcript.pyannote[30].end 1891.58346875
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 1891.65096875
transcript.pyannote[31].end 1893.43971875
transcript.pyannote[32].speaker SPEAKER_14
transcript.pyannote[32].start 1902.21471875
transcript.pyannote[32].end 1905.31971875
transcript.pyannote[33].speaker SPEAKER_14
transcript.pyannote[33].start 1905.79221875
transcript.pyannote[33].end 1913.18346875
transcript.pyannote[34].speaker SPEAKER_14
transcript.pyannote[34].start 1913.79096875
transcript.pyannote[34].end 1930.98659375
transcript.pyannote[35].speaker SPEAKER_14
transcript.pyannote[35].start 1932.45471875
transcript.pyannote[35].end 1936.57221875
transcript.pyannote[36].speaker SPEAKER_14
transcript.pyannote[36].start 1937.41596875
transcript.pyannote[36].end 1938.37784375
transcript.pyannote[37].speaker SPEAKER_14
transcript.pyannote[37].start 1938.76596875
transcript.pyannote[37].end 1943.40659375
transcript.pyannote[38].speaker SPEAKER_14
transcript.pyannote[38].start 1943.94659375
transcript.pyannote[38].end 1945.51596875
transcript.pyannote[39].speaker SPEAKER_14
transcript.pyannote[39].start 1946.05596875
transcript.pyannote[39].end 1951.43909375
transcript.pyannote[40].speaker SPEAKER_14
transcript.pyannote[40].start 1952.14784375
transcript.pyannote[40].end 1953.36284375
transcript.pyannote[41].speaker SPEAKER_14
transcript.pyannote[41].start 1953.93659375
transcript.pyannote[41].end 1958.30721875
transcript.pyannote[42].speaker SPEAKER_14
transcript.pyannote[42].start 1958.96534375
transcript.pyannote[42].end 1960.58534375
transcript.pyannote[43].speaker SPEAKER_14
transcript.pyannote[43].start 1961.02409375
transcript.pyannote[43].end 1962.27284375
transcript.pyannote[44].speaker SPEAKER_14
transcript.pyannote[44].start 1963.03221875
transcript.pyannote[44].end 1964.33159375
transcript.pyannote[45].speaker SPEAKER_14
transcript.pyannote[45].start 1965.10784375
transcript.pyannote[45].end 1969.98471875
transcript.pyannote[46].speaker SPEAKER_14
transcript.pyannote[46].start 1970.27159375
transcript.pyannote[46].end 1972.31346875
transcript.pyannote[47].speaker SPEAKER_14
transcript.pyannote[47].start 1972.97159375
transcript.pyannote[47].end 1976.56596875
transcript.pyannote[48].speaker SPEAKER_14
transcript.pyannote[48].start 1976.95409375
transcript.pyannote[48].end 1984.48034375
transcript.pyannote[49].speaker SPEAKER_14
transcript.pyannote[49].start 1984.64909375
transcript.pyannote[49].end 1988.93534375
transcript.pyannote[50].speaker SPEAKER_14
transcript.pyannote[50].start 1989.72846875
transcript.pyannote[50].end 1992.91784375
transcript.pyannote[51].speaker SPEAKER_14
transcript.pyannote[51].start 1993.18784375
transcript.pyannote[51].end 1993.74471875
transcript.pyannote[52].speaker SPEAKER_14
transcript.pyannote[52].start 1994.45346875
transcript.pyannote[52].end 2002.77284375
transcript.pyannote[53].speaker SPEAKER_20
transcript.pyannote[53].start 2013.72471875
transcript.pyannote[53].end 2014.75409375
transcript.pyannote[54].speaker SPEAKER_20
transcript.pyannote[54].start 2014.93971875
transcript.pyannote[54].end 2015.98596875
transcript.pyannote[55].speaker SPEAKER_20
transcript.pyannote[55].start 2016.25596875
transcript.pyannote[55].end 2019.49596875
transcript.pyannote[56].speaker SPEAKER_20
transcript.pyannote[56].start 2019.85034375
transcript.pyannote[56].end 2027.29221875
transcript.pyannote[57].speaker SPEAKER_20
transcript.pyannote[57].start 2027.79846875
transcript.pyannote[57].end 2030.44784375
transcript.pyannote[58].speaker SPEAKER_20
transcript.pyannote[58].start 2030.73471875
transcript.pyannote[58].end 2036.72534375
transcript.pyannote[59].speaker SPEAKER_20
transcript.pyannote[59].start 2037.16409375
transcript.pyannote[59].end 2043.74534375
transcript.pyannote[60].speaker SPEAKER_20
transcript.pyannote[60].start 2044.20096875
transcript.pyannote[60].end 2048.92596875
transcript.pyannote[61].speaker SPEAKER_20
transcript.pyannote[61].start 2049.19596875
transcript.pyannote[61].end 2050.57971875
transcript.pyannote[62].speaker SPEAKER_20
transcript.pyannote[62].start 2050.83284375
transcript.pyannote[62].end 2054.86596875
transcript.pyannote[63].speaker SPEAKER_20
transcript.pyannote[63].start 2055.16971875
transcript.pyannote[63].end 2058.64596875
transcript.pyannote[64].speaker SPEAKER_20
transcript.pyannote[64].start 2058.78096875
transcript.pyannote[64].end 2061.68346875
transcript.pyannote[65].speaker SPEAKER_20
transcript.pyannote[65].start 2061.95346875
transcript.pyannote[65].end 2071.69034375
transcript.pyannote[66].speaker SPEAKER_20
transcript.pyannote[66].start 2072.34846875
transcript.pyannote[66].end 2074.28909375
transcript.pyannote[67].speaker SPEAKER_20
transcript.pyannote[67].start 2074.52534375
transcript.pyannote[67].end 2080.81971875
transcript.pyannote[68].speaker SPEAKER_20
transcript.pyannote[68].start 2081.20784375
transcript.pyannote[68].end 2084.36346875
transcript.pyannote[69].speaker SPEAKER_20
transcript.pyannote[69].start 2084.61659375
transcript.pyannote[69].end 2087.80596875
transcript.pyannote[70].speaker SPEAKER_20
transcript.pyannote[70].start 2088.05909375
transcript.pyannote[70].end 2091.50159375
transcript.pyannote[71].speaker SPEAKER_20
transcript.pyannote[71].start 2091.97409375
transcript.pyannote[71].end 2095.99034375
transcript.pyannote[72].speaker SPEAKER_20
transcript.pyannote[72].start 2096.36159375
transcript.pyannote[72].end 2097.76221875
transcript.pyannote[73].speaker SPEAKER_20
transcript.pyannote[73].start 2097.96471875
transcript.pyannote[73].end 2103.04409375
transcript.pyannote[74].speaker SPEAKER_20
transcript.pyannote[74].start 2103.41534375
transcript.pyannote[74].end 2106.72284375
transcript.pyannote[75].speaker SPEAKER_20
transcript.pyannote[75].start 2106.97596875
transcript.pyannote[75].end 2108.91659375
transcript.pyannote[76].speaker SPEAKER_20
transcript.pyannote[76].start 2109.25409375
transcript.pyannote[76].end 2110.90784375
transcript.pyannote[77].speaker SPEAKER_20
transcript.pyannote[77].start 2111.26221875
transcript.pyannote[77].end 2116.03784375
transcript.pyannote[78].speaker SPEAKER_20
transcript.pyannote[78].start 2116.39221875
transcript.pyannote[78].end 2117.38784375
transcript.pyannote[79].speaker SPEAKER_20
transcript.pyannote[79].start 2117.69159375
transcript.pyannote[79].end 2119.36221875
transcript.pyannote[80].speaker SPEAKER_20
transcript.pyannote[80].start 2119.81784375
transcript.pyannote[80].end 2120.88096875
transcript.pyannote[81].speaker SPEAKER_20
transcript.pyannote[81].start 2121.13409375
transcript.pyannote[81].end 2124.64409375
transcript.pyannote[82].speaker SPEAKER_20
transcript.pyannote[82].start 2124.91409375
transcript.pyannote[82].end 2126.90534375
transcript.pyannote[83].speaker SPEAKER_20
transcript.pyannote[83].start 2127.61409375
transcript.pyannote[83].end 2132.28846875
transcript.pyannote[84].speaker SPEAKER_20
transcript.pyannote[84].start 2132.92971875
transcript.pyannote[84].end 2133.23346875
transcript.pyannote[85].speaker SPEAKER_20
transcript.pyannote[85].start 2133.68909375
transcript.pyannote[85].end 2135.30909375
transcript.pyannote[86].speaker SPEAKER_20
transcript.pyannote[86].start 2135.57909375
transcript.pyannote[86].end 2139.76409375
transcript.pyannote[87].speaker SPEAKER_20
transcript.pyannote[87].start 2140.15221875
transcript.pyannote[87].end 2143.15596875
transcript.pyannote[88].speaker SPEAKER_20
transcript.pyannote[88].start 2143.29096875
transcript.pyannote[88].end 2146.41284375
transcript.pyannote[89].speaker SPEAKER_20
transcript.pyannote[89].start 2146.64909375
transcript.pyannote[89].end 2148.43784375
transcript.pyannote[90].speaker SPEAKER_20
transcript.pyannote[90].start 2148.47159375
transcript.pyannote[90].end 2149.14659375
transcript.pyannote[91].speaker SPEAKER_20
transcript.pyannote[91].start 2149.63596875
transcript.pyannote[91].end 2151.44159375
transcript.pyannote[92].speaker SPEAKER_20
transcript.pyannote[92].start 2151.79596875
transcript.pyannote[92].end 2155.45784375
transcript.pyannote[93].speaker SPEAKER_20
transcript.pyannote[93].start 2155.71096875
transcript.pyannote[93].end 2159.79471875
transcript.pyannote[94].speaker SPEAKER_20
transcript.pyannote[94].start 2160.31784375
transcript.pyannote[94].end 2163.72659375
transcript.pyannote[95].speaker SPEAKER_20
transcript.pyannote[95].start 2164.13159375
transcript.pyannote[95].end 2166.13971875
transcript.pyannote[96].speaker SPEAKER_20
transcript.pyannote[96].start 2166.42659375
transcript.pyannote[96].end 2170.03784375
transcript.pyannote[97].speaker SPEAKER_20
transcript.pyannote[97].start 2170.42596875
transcript.pyannote[97].end 2179.82534375
transcript.pyannote[98].speaker SPEAKER_20
transcript.pyannote[98].start 2181.66471875
transcript.pyannote[98].end 2183.72346875
transcript.pyannote[99].speaker SPEAKER_20
transcript.pyannote[99].start 2183.97659375
transcript.pyannote[99].end 2186.03534375
transcript.pyannote[100].speaker SPEAKER_20
transcript.pyannote[100].start 2186.37284375
transcript.pyannote[100].end 2191.38471875
transcript.pyannote[101].speaker SPEAKER_20
transcript.pyannote[101].start 2191.57034375
transcript.pyannote[101].end 2192.38034375
transcript.pyannote[102].speaker SPEAKER_20
transcript.pyannote[102].start 2192.71784375
transcript.pyannote[102].end 2194.00034375
transcript.pyannote[103].speaker SPEAKER_20
transcript.pyannote[103].start 2194.67534375
transcript.pyannote[103].end 2196.91971875
transcript.pyannote[104].speaker SPEAKER_20
transcript.pyannote[104].start 2197.30784375
transcript.pyannote[104].end 2197.83096875
transcript.pyannote[105].speaker SPEAKER_20
transcript.pyannote[105].start 2198.26971875
transcript.pyannote[105].end 2204.91846875
transcript.pyannote[106].speaker SPEAKER_20
transcript.pyannote[106].start 2205.34034375
transcript.pyannote[106].end 2210.13284375
transcript.pyannote[107].speaker SPEAKER_20
transcript.pyannote[107].start 2210.53784375
transcript.pyannote[107].end 2211.83721875
transcript.pyannote[108].speaker SPEAKER_20
transcript.pyannote[108].start 2212.19159375
transcript.pyannote[108].end 2213.20409375
transcript.pyannote[109].speaker SPEAKER_20
transcript.pyannote[109].start 2213.50784375
transcript.pyannote[109].end 2215.70159375
transcript.pyannote[110].speaker SPEAKER_20
transcript.pyannote[110].start 2216.00534375
transcript.pyannote[110].end 2228.54346875
transcript.pyannote[111].speaker SPEAKER_20
transcript.pyannote[111].start 2228.89784375
transcript.pyannote[111].end 2237.30159375
transcript.pyannote[112].speaker SPEAKER_20
transcript.pyannote[112].start 2237.65596875
transcript.pyannote[112].end 2238.65159375
transcript.pyannote[113].speaker SPEAKER_20
transcript.pyannote[113].start 2238.68534375
transcript.pyannote[113].end 2240.25471875
transcript.pyannote[114].speaker SPEAKER_20
transcript.pyannote[114].start 2240.57534375
transcript.pyannote[114].end 2243.49471875
transcript.pyannote[115].speaker SPEAKER_20
transcript.pyannote[115].start 2243.81534375
transcript.pyannote[115].end 2246.71784375
transcript.pyannote[116].speaker SPEAKER_20
transcript.pyannote[116].start 2247.02159375
transcript.pyannote[116].end 2251.45971875
transcript.pyannote[117].speaker SPEAKER_20
transcript.pyannote[117].start 2251.71284375
transcript.pyannote[117].end 2252.82659375
transcript.pyannote[118].speaker SPEAKER_20
transcript.pyannote[118].start 2253.14721875
transcript.pyannote[118].end 2257.88909375
transcript.pyannote[119].speaker SPEAKER_20
transcript.pyannote[119].start 2258.58096875
transcript.pyannote[119].end 2263.00221875
transcript.pyannote[120].speaker SPEAKER_20
transcript.pyannote[120].start 2263.17096875
transcript.pyannote[120].end 2272.28346875
transcript.pyannote[121].speaker SPEAKER_20
transcript.pyannote[121].start 2272.57034375
transcript.pyannote[121].end 2274.69659375
transcript.pyannote[122].speaker SPEAKER_20
transcript.pyannote[122].start 2274.86534375
transcript.pyannote[122].end 2278.17284375
transcript.pyannote[123].speaker SPEAKER_20
transcript.pyannote[123].start 2278.44284375
transcript.pyannote[123].end 2278.98284375
transcript.pyannote[124].speaker SPEAKER_20
transcript.pyannote[124].start 2279.21909375
transcript.pyannote[124].end 2282.42534375
transcript.pyannote[125].speaker SPEAKER_20
transcript.pyannote[125].start 2282.67846875
transcript.pyannote[125].end 2285.49659375
transcript.pyannote[126].speaker SPEAKER_20
transcript.pyannote[126].start 2285.74971875
transcript.pyannote[126].end 2289.05721875
transcript.pyannote[127].speaker SPEAKER_20
transcript.pyannote[127].start 2289.47909375
transcript.pyannote[127].end 2293.64721875
transcript.pyannote[128].speaker SPEAKER_20
transcript.pyannote[128].start 2294.60909375
transcript.pyannote[128].end 2300.00909375
transcript.pyannote[129].speaker SPEAKER_20
transcript.pyannote[129].start 2300.19471875
transcript.pyannote[129].end 2302.30409375
transcript.pyannote[130].speaker SPEAKER_20
transcript.pyannote[130].start 2302.33784375
transcript.pyannote[130].end 2304.49784375
transcript.pyannote[131].speaker SPEAKER_20
transcript.pyannote[131].start 2304.93659375
transcript.pyannote[131].end 2308.53096875
transcript.pyannote[132].speaker SPEAKER_20
transcript.pyannote[132].start 2308.81784375
transcript.pyannote[132].end 2314.01534375
transcript.pyannote[133].speaker SPEAKER_20
transcript.pyannote[133].start 2314.33596875
transcript.pyannote[133].end 2315.38221875
transcript.pyannote[134].speaker SPEAKER_20
transcript.pyannote[134].start 2315.80409375
transcript.pyannote[134].end 2318.50409375
transcript.pyannote[135].speaker SPEAKER_20
transcript.pyannote[135].start 2318.75721875
transcript.pyannote[135].end 2322.41909375
transcript.pyannote[136].speaker SPEAKER_20
transcript.pyannote[136].start 2322.99284375
transcript.pyannote[136].end 2325.76034375
transcript.pyannote[137].speaker SPEAKER_20
transcript.pyannote[137].start 2326.06409375
transcript.pyannote[137].end 2329.69221875
transcript.pyannote[138].speaker SPEAKER_20
transcript.pyannote[138].start 2330.01284375
transcript.pyannote[138].end 2332.32471875
transcript.pyannote[139].speaker SPEAKER_20
transcript.pyannote[139].start 2332.69596875
transcript.pyannote[139].end 2336.47596875
transcript.pyannote[140].speaker SPEAKER_20
transcript.pyannote[140].start 2336.79659375
transcript.pyannote[140].end 2340.64409375
transcript.pyannote[141].speaker SPEAKER_20
transcript.pyannote[141].start 2340.99846875
transcript.pyannote[141].end 2343.29346875
transcript.pyannote[142].speaker SPEAKER_20
transcript.pyannote[142].start 2343.54659375
transcript.pyannote[142].end 2344.81221875
transcript.pyannote[143].speaker SPEAKER_20
transcript.pyannote[143].start 2345.11596875
transcript.pyannote[143].end 2346.82034375
transcript.pyannote[144].speaker SPEAKER_20
transcript.pyannote[144].start 2347.07346875
transcript.pyannote[144].end 2348.54159375
transcript.pyannote[145].speaker SPEAKER_20
transcript.pyannote[145].start 2349.06471875
transcript.pyannote[145].end 2351.25846875
transcript.pyannote[146].speaker SPEAKER_20
transcript.pyannote[146].start 2351.52846875
transcript.pyannote[146].end 2354.19471875
transcript.pyannote[147].speaker SPEAKER_20
transcript.pyannote[147].start 2354.70096875
transcript.pyannote[147].end 2355.07221875
transcript.pyannote[148].speaker SPEAKER_20
transcript.pyannote[148].start 2355.39284375
transcript.pyannote[148].end 2358.05909375
transcript.pyannote[149].speaker SPEAKER_20
transcript.pyannote[149].start 2358.46409375
transcript.pyannote[149].end 2361.58596875
transcript.pyannote[150].speaker SPEAKER_20
transcript.pyannote[150].start 2361.80534375
transcript.pyannote[150].end 2366.32784375
transcript.pyannote[151].speaker SPEAKER_20
transcript.pyannote[151].start 2366.61471875
transcript.pyannote[151].end 2373.85409375
transcript.pyannote[152].speaker SPEAKER_20
transcript.pyannote[152].start 2374.03971875
transcript.pyannote[152].end 2375.01846875
transcript.pyannote[153].speaker SPEAKER_20
transcript.pyannote[153].start 2375.18721875
transcript.pyannote[153].end 2380.85721875
transcript.pyannote[154].speaker SPEAKER_20
transcript.pyannote[154].start 2381.09346875
transcript.pyannote[154].end 2386.13909375
transcript.pyannote[155].speaker SPEAKER_20
transcript.pyannote[155].start 2386.15596875
transcript.pyannote[155].end 2389.76721875
transcript.pyannote[156].speaker SPEAKER_20
transcript.pyannote[156].start 2390.07096875
transcript.pyannote[156].end 2392.92284375
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 2395.42034375
transcript.pyannote[157].end 2400.02721875
transcript.pyannote[158].speaker SPEAKER_06
transcript.pyannote[158].start 2410.37159375
transcript.pyannote[158].end 2441.80971875
transcript.pyannote[159].speaker SPEAKER_06
transcript.pyannote[159].start 2442.90659375
transcript.pyannote[159].end 2472.70784375
transcript.pyannote[160].speaker SPEAKER_06
transcript.pyannote[160].start 2472.99471875
transcript.pyannote[160].end 2482.00596875
transcript.pyannote[161].speaker SPEAKER_06
transcript.pyannote[161].start 2482.17471875
transcript.pyannote[161].end 2487.20346875
transcript.pyannote[162].speaker SPEAKER_06
transcript.pyannote[162].start 2487.86159375
transcript.pyannote[162].end 2488.89096875
transcript.pyannote[163].speaker SPEAKER_06
transcript.pyannote[163].start 2489.14409375
transcript.pyannote[163].end 2506.99784375
transcript.pyannote[164].speaker SPEAKER_06
transcript.pyannote[164].start 2507.84159375
transcript.pyannote[164].end 2512.70159375
transcript.pyannote[165].speaker SPEAKER_06
transcript.pyannote[165].start 2512.95471875
transcript.pyannote[165].end 2517.02159375
transcript.pyannote[166].speaker SPEAKER_06
transcript.pyannote[166].start 2517.35909375
transcript.pyannote[166].end 2533.39034375
transcript.pyannote[167].speaker SPEAKER_06
transcript.pyannote[167].start 2533.89659375
transcript.pyannote[167].end 2555.69909375
transcript.pyannote[168].speaker SPEAKER_06
transcript.pyannote[168].start 2556.00284375
transcript.pyannote[168].end 2571.79784375
transcript.pyannote[169].speaker SPEAKER_06
transcript.pyannote[169].start 2572.25346875
transcript.pyannote[169].end 2588.48721875
transcript.pyannote[170].speaker SPEAKER_06
transcript.pyannote[170].start 2589.55034375
transcript.pyannote[170].end 2590.07346875
transcript.pyannote[171].speaker SPEAKER_06
transcript.pyannote[171].start 2590.22534375
transcript.pyannote[171].end 2590.81596875
transcript.pyannote[172].speaker SPEAKER_06
transcript.pyannote[172].start 2591.13659375
transcript.pyannote[172].end 2592.52034375
transcript.pyannote[173].speaker SPEAKER_06
transcript.pyannote[173].start 2593.73534375
transcript.pyannote[173].end 2594.98409375
transcript.pyannote[174].speaker SPEAKER_06
transcript.pyannote[174].start 2595.49034375
transcript.pyannote[174].end 2601.75096875
transcript.pyannote[175].speaker SPEAKER_06
transcript.pyannote[175].start 2601.88596875
transcript.pyannote[175].end 2623.70534375
transcript.pyannote[176].speaker SPEAKER_06
transcript.pyannote[176].start 2623.92471875
transcript.pyannote[176].end 2634.42096875
transcript.pyannote[177].speaker SPEAKER_06
transcript.pyannote[177].start 2635.14659375
transcript.pyannote[177].end 2639.93909375
transcript.pyannote[178].speaker SPEAKER_06
transcript.pyannote[178].start 2640.37784375
transcript.pyannote[178].end 2646.94221875
transcript.pyannote[179].speaker SPEAKER_06
transcript.pyannote[179].start 2648.66346875
transcript.pyannote[179].end 2649.87846875
transcript.pyannote[180].speaker SPEAKER_06
transcript.pyannote[180].start 2650.94159375
transcript.pyannote[180].end 2679.69659375
transcript.pyannote[181].speaker SPEAKER_06
transcript.pyannote[181].start 2680.69221875
transcript.pyannote[181].end 2684.75909375
transcript.pyannote[182].speaker SPEAKER_06
transcript.pyannote[182].start 2685.33284375
transcript.pyannote[182].end 2705.93721875
transcript.pyannote[183].speaker SPEAKER_06
transcript.pyannote[183].start 2706.15659375
transcript.pyannote[183].end 2720.06159375
transcript.pyannote[184].speaker SPEAKER_06
transcript.pyannote[184].start 2720.23034375
transcript.pyannote[184].end 2725.83284375
transcript.pyannote[185].speaker SPEAKER_15
transcript.pyannote[185].start 2725.83284375
transcript.pyannote[185].end 2726.05221875
transcript.pyannote[186].speaker SPEAKER_06
transcript.pyannote[186].start 2726.05221875
transcript.pyannote[186].end 2726.65971875
transcript.pyannote[187].speaker SPEAKER_06
transcript.pyannote[187].start 2726.81159375
transcript.pyannote[187].end 2729.46096875
transcript.pyannote[188].speaker SPEAKER_06
transcript.pyannote[188].start 2729.93346875
transcript.pyannote[188].end 2747.23034375
transcript.pyannote[189].speaker SPEAKER_06
transcript.pyannote[189].start 2747.44971875
transcript.pyannote[189].end 2768.47596875
transcript.pyannote[190].speaker SPEAKER_06
transcript.pyannote[190].start 2773.01534375
transcript.pyannote[190].end 2779.44471875
transcript.pyannote[191].speaker SPEAKER_06
transcript.pyannote[191].start 2779.78221875
transcript.pyannote[191].end 2786.09346875
transcript.pyannote[192].speaker SPEAKER_06
transcript.pyannote[192].start 2787.00471875
transcript.pyannote[192].end 2795.15534375
transcript.pyannote[193].speaker SPEAKER_06
transcript.pyannote[193].start 2795.88096875
transcript.pyannote[193].end 2797.75409375
transcript.pyannote[194].speaker SPEAKER_06
transcript.pyannote[194].start 2797.93971875
transcript.pyannote[194].end 2800.96034375
transcript.pyannote[195].speaker SPEAKER_06
transcript.pyannote[195].start 2801.73659375
transcript.pyannote[195].end 2803.42409375
transcript.pyannote[196].speaker SPEAKER_06
transcript.pyannote[196].start 2804.31846875
transcript.pyannote[196].end 2818.42596875
transcript.pyannote[197].speaker SPEAKER_06
transcript.pyannote[197].start 2819.30346875
transcript.pyannote[197].end 2826.72846875
transcript.pyannote[198].speaker SPEAKER_06
transcript.pyannote[198].start 2826.91409375
transcript.pyannote[198].end 2828.71971875
transcript.pyannote[199].speaker SPEAKER_06
transcript.pyannote[199].start 2829.15846875
transcript.pyannote[199].end 2843.89034375
transcript.pyannote[200].speaker SPEAKER_06
transcript.pyannote[200].start 2844.46409375
transcript.pyannote[200].end 2846.08409375
transcript.pyannote[201].speaker SPEAKER_06
transcript.pyannote[201].start 2846.42159375
transcript.pyannote[201].end 2848.34534375
transcript.pyannote[202].speaker SPEAKER_06
transcript.pyannote[202].start 2849.39159375
transcript.pyannote[202].end 2850.23534375
transcript.pyannote[203].speaker SPEAKER_06
transcript.pyannote[203].start 2851.07909375
transcript.pyannote[203].end 2903.12159375
transcript.pyannote[204].speaker SPEAKER_05
transcript.pyannote[204].start 2906.10846875
transcript.pyannote[204].end 2908.11659375
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 2908.47096875
transcript.pyannote[205].end 2927.55659375
transcript.pyannote[206].speaker SPEAKER_21
transcript.pyannote[206].start 2937.20909375
transcript.pyannote[206].end 2940.19596875
transcript.pyannote[207].speaker SPEAKER_21
transcript.pyannote[207].start 2940.44909375
transcript.pyannote[207].end 2944.58346875
transcript.pyannote[208].speaker SPEAKER_05
transcript.pyannote[208].start 2942.98034375
transcript.pyannote[208].end 2943.60471875
transcript.pyannote[209].speaker SPEAKER_05
transcript.pyannote[209].start 2944.83659375
transcript.pyannote[209].end 2947.62096875
transcript.pyannote[210].speaker SPEAKER_21
transcript.pyannote[210].start 2952.12659375
transcript.pyannote[210].end 2953.93221875
transcript.pyannote[211].speaker SPEAKER_21
transcript.pyannote[211].start 2954.18534375
transcript.pyannote[211].end 2968.66409375
transcript.pyannote[212].speaker SPEAKER_15
transcript.pyannote[212].start 2960.93534375
transcript.pyannote[212].end 2960.98596875
transcript.pyannote[213].speaker SPEAKER_21
transcript.pyannote[213].start 2969.27159375
transcript.pyannote[213].end 2970.84096875
transcript.pyannote[214].speaker SPEAKER_21
transcript.pyannote[214].start 2971.27971875
transcript.pyannote[214].end 2985.91034375
transcript.pyannote[215].speaker SPEAKER_21
transcript.pyannote[215].start 2986.29846875
transcript.pyannote[215].end 2995.03971875
transcript.pyannote[216].speaker SPEAKER_21
transcript.pyannote[216].start 2995.71471875
transcript.pyannote[216].end 3000.30471875
transcript.pyannote[217].speaker SPEAKER_21
transcript.pyannote[217].start 3000.45659375
transcript.pyannote[217].end 3001.19909375
transcript.pyannote[218].speaker SPEAKER_21
transcript.pyannote[218].start 3001.78971875
transcript.pyannote[218].end 3017.02784375
transcript.pyannote[219].speaker SPEAKER_21
transcript.pyannote[219].start 3017.56784375
transcript.pyannote[219].end 3021.38159375
transcript.pyannote[220].speaker SPEAKER_21
transcript.pyannote[220].start 3021.87096875
transcript.pyannote[220].end 3029.86971875
transcript.pyannote[221].speaker SPEAKER_21
transcript.pyannote[221].start 3030.64596875
transcript.pyannote[221].end 3032.62034375
transcript.pyannote[222].speaker SPEAKER_21
transcript.pyannote[222].start 3033.05909375
transcript.pyannote[222].end 3034.79721875
transcript.pyannote[223].speaker SPEAKER_21
transcript.pyannote[223].start 3035.75909375
transcript.pyannote[223].end 3038.50971875
transcript.pyannote[224].speaker SPEAKER_21
transcript.pyannote[224].start 3038.79659375
transcript.pyannote[224].end 3039.55596875
transcript.pyannote[225].speaker SPEAKER_21
transcript.pyannote[225].start 3040.21409375
transcript.pyannote[225].end 3041.17596875
transcript.pyannote[226].speaker SPEAKER_21
transcript.pyannote[226].start 3041.49659375
transcript.pyannote[226].end 3043.42034375
transcript.pyannote[227].speaker SPEAKER_21
transcript.pyannote[227].start 3043.92659375
transcript.pyannote[227].end 3049.98471875
transcript.pyannote[228].speaker SPEAKER_14
transcript.pyannote[228].start 3050.08596875
transcript.pyannote[228].end 3160.26284375
transcript.pyannote[229].speaker SPEAKER_21
transcript.pyannote[229].start 3160.26284375
transcript.pyannote[229].end 3168.97034375
transcript.pyannote[230].speaker SPEAKER_14
transcript.pyannote[230].start 3168.97034375
transcript.pyannote[230].end 3188.73096875
transcript.pyannote[231].speaker SPEAKER_21
transcript.pyannote[231].start 3189.45659375
transcript.pyannote[231].end 3212.71034375
transcript.pyannote[232].speaker SPEAKER_21
transcript.pyannote[232].start 3213.01409375
transcript.pyannote[232].end 3214.02659375
transcript.pyannote[233].speaker SPEAKER_21
transcript.pyannote[233].start 3214.33034375
transcript.pyannote[233].end 3216.96284375
transcript.pyannote[234].speaker SPEAKER_14
transcript.pyannote[234].start 3216.96284375
transcript.pyannote[234].end 3224.42159375
transcript.pyannote[235].speaker SPEAKER_21
transcript.pyannote[235].start 3224.42159375
transcript.pyannote[235].end 3260.09534375
transcript.pyannote[236].speaker SPEAKER_15
transcript.pyannote[236].start 3251.35409375
transcript.pyannote[236].end 3251.55659375
transcript.pyannote[237].speaker SPEAKER_14
transcript.pyannote[237].start 3259.77471875
transcript.pyannote[237].end 3261.24284375
transcript.pyannote[238].speaker SPEAKER_21
transcript.pyannote[238].start 3261.07409375
transcript.pyannote[238].end 3264.26346875
transcript.pyannote[239].speaker SPEAKER_21
transcript.pyannote[239].start 3264.48284375
transcript.pyannote[239].end 3268.53284375
transcript.pyannote[240].speaker SPEAKER_21
transcript.pyannote[240].start 3268.83659375
transcript.pyannote[240].end 3282.10034375
transcript.pyannote[241].speaker SPEAKER_21
transcript.pyannote[241].start 3282.60659375
transcript.pyannote[241].end 3288.37784375
transcript.pyannote[242].speaker SPEAKER_21
transcript.pyannote[242].start 3288.91784375
transcript.pyannote[242].end 3299.83596875
transcript.pyannote[243].speaker SPEAKER_21
transcript.pyannote[243].start 3301.48971875
transcript.pyannote[243].end 3306.13034375
transcript.pyannote[244].speaker SPEAKER_06
transcript.pyannote[244].start 3306.92346875
transcript.pyannote[244].end 3309.47159375
transcript.pyannote[245].speaker SPEAKER_21
transcript.pyannote[245].start 3309.64034375
transcript.pyannote[245].end 3311.09159375
transcript.pyannote[246].speaker SPEAKER_21
transcript.pyannote[246].start 3311.44596875
transcript.pyannote[246].end 3312.74534375
transcript.pyannote[247].speaker SPEAKER_21
transcript.pyannote[247].start 3313.18409375
transcript.pyannote[247].end 3314.36534375
transcript.pyannote[248].speaker SPEAKER_06
transcript.pyannote[248].start 3314.73659375
transcript.pyannote[248].end 3317.57159375
transcript.pyannote[249].speaker SPEAKER_21
transcript.pyannote[249].start 3317.45346875
transcript.pyannote[249].end 3329.36721875
transcript.pyannote[250].speaker SPEAKER_21
transcript.pyannote[250].start 3330.07596875
transcript.pyannote[250].end 3332.91096875
transcript.pyannote[251].speaker SPEAKER_06
transcript.pyannote[251].start 3333.02909375
transcript.pyannote[251].end 3362.22284375
transcript.pyannote[252].speaker SPEAKER_21
transcript.pyannote[252].start 3362.64471875
transcript.pyannote[252].end 3390.64034375
transcript.pyannote[253].speaker SPEAKER_21
transcript.pyannote[253].start 3391.56846875
transcript.pyannote[253].end 3393.42471875
transcript.pyannote[254].speaker SPEAKER_06
transcript.pyannote[254].start 3393.42471875
transcript.pyannote[254].end 3401.89596875
transcript.pyannote[255].speaker SPEAKER_06
transcript.pyannote[255].start 3401.96346875
transcript.pyannote[255].end 3420.49221875
transcript.pyannote[256].speaker SPEAKER_21
transcript.pyannote[256].start 3419.96909375
transcript.pyannote[256].end 3446.98596875
transcript.pyannote[257].speaker SPEAKER_06
transcript.pyannote[257].start 3443.03721875
transcript.pyannote[257].end 3443.20596875
transcript.pyannote[258].speaker SPEAKER_21
transcript.pyannote[258].start 3447.44159375
transcript.pyannote[258].end 3451.84596875
transcript.pyannote[259].speaker SPEAKER_06
transcript.pyannote[259].start 3451.98096875
transcript.pyannote[259].end 3457.02659375
transcript.pyannote[260].speaker SPEAKER_21
transcript.pyannote[260].start 3457.02659375
transcript.pyannote[260].end 3464.29971875
transcript.pyannote[261].speaker SPEAKER_06
transcript.pyannote[261].start 3457.24596875
transcript.pyannote[261].end 3458.32596875
transcript.pyannote[262].speaker SPEAKER_21
transcript.pyannote[262].start 3464.82284375
transcript.pyannote[262].end 3467.43846875
transcript.pyannote[263].speaker SPEAKER_08
transcript.pyannote[263].start 3468.87284375
transcript.pyannote[263].end 3476.21346875
transcript.pyannote[264].speaker SPEAKER_21
transcript.pyannote[264].start 3476.24721875
transcript.pyannote[264].end 3482.17034375
transcript.pyannote[265].speaker SPEAKER_21
transcript.pyannote[265].start 3483.19971875
transcript.pyannote[265].end 3485.81534375
transcript.pyannote[266].speaker SPEAKER_08
transcript.pyannote[266].start 3486.72659375
transcript.pyannote[266].end 3487.58721875
transcript.pyannote[267].speaker SPEAKER_08
transcript.pyannote[267].start 3487.85721875
transcript.pyannote[267].end 3488.49846875
transcript.pyannote[268].speaker SPEAKER_08
transcript.pyannote[268].start 3488.80221875
transcript.pyannote[268].end 3492.97034375
transcript.pyannote[269].speaker SPEAKER_21
transcript.pyannote[269].start 3491.78909375
transcript.pyannote[269].end 3493.40909375
transcript.pyannote[270].speaker SPEAKER_08
transcript.pyannote[270].start 3493.40909375
transcript.pyannote[270].end 3493.44284375
transcript.pyannote[271].speaker SPEAKER_21
transcript.pyannote[271].start 3493.96596875
transcript.pyannote[271].end 3512.71409375
transcript.pyannote[272].speaker SPEAKER_08
transcript.pyannote[272].start 3512.93346875
transcript.pyannote[272].end 3530.09534375
transcript.pyannote[273].speaker SPEAKER_21
transcript.pyannote[273].start 3513.16971875
transcript.pyannote[273].end 3513.22034375
transcript.pyannote[274].speaker SPEAKER_08
transcript.pyannote[274].start 3530.11221875
transcript.pyannote[274].end 3537.26721875
transcript.pyannote[275].speaker SPEAKER_08
transcript.pyannote[275].start 3537.52034375
transcript.pyannote[275].end 3539.81534375
transcript.pyannote[276].speaker SPEAKER_21
transcript.pyannote[276].start 3539.81534375
transcript.pyannote[276].end 3546.59909375
transcript.pyannote[277].speaker SPEAKER_15
transcript.pyannote[277].start 3546.59909375
transcript.pyannote[277].end 3547.08846875
transcript.pyannote[278].speaker SPEAKER_21
transcript.pyannote[278].start 3547.03784375
transcript.pyannote[278].end 3550.26096875
transcript.pyannote[279].speaker SPEAKER_08
transcript.pyannote[279].start 3547.08846875
transcript.pyannote[279].end 3547.94909375
transcript.pyannote[280].speaker SPEAKER_15
transcript.pyannote[280].start 3547.94909375
transcript.pyannote[280].end 3548.01659375
transcript.pyannote[281].speaker SPEAKER_21
transcript.pyannote[281].start 3550.76721875
transcript.pyannote[281].end 3563.64284375
transcript.pyannote[282].speaker SPEAKER_08
transcript.pyannote[282].start 3563.96346875
transcript.pyannote[282].end 3570.94971875
transcript.pyannote[283].speaker SPEAKER_21
transcript.pyannote[283].start 3570.78096875
transcript.pyannote[283].end 3573.00846875
transcript.pyannote[284].speaker SPEAKER_06
transcript.pyannote[284].start 3575.25284375
transcript.pyannote[284].end 3588.48284375
transcript.pyannote[285].speaker SPEAKER_21
transcript.pyannote[285].start 3589.03971875
transcript.pyannote[285].end 3599.35034375
transcript.pyannote[286].speaker SPEAKER_21
transcript.pyannote[286].start 3599.56971875
transcript.pyannote[286].end 3600.81846875
transcript.pyannote[287].speaker SPEAKER_21
transcript.pyannote[287].start 3601.45971875
transcript.pyannote[287].end 3601.96596875
transcript.pyannote[288].speaker SPEAKER_06
transcript.pyannote[288].start 3601.96596875
transcript.pyannote[288].end 3608.22659375
transcript.pyannote[289].speaker SPEAKER_21
transcript.pyannote[289].start 3608.22659375
transcript.pyannote[289].end 3617.11971875
transcript.pyannote[290].speaker SPEAKER_06
transcript.pyannote[290].start 3611.11221875
transcript.pyannote[290].end 3612.98534375
transcript.pyannote[291].speaker SPEAKER_06
transcript.pyannote[291].start 3613.99784375
transcript.pyannote[291].end 3614.87534375
transcript.pyannote[292].speaker SPEAKER_06
transcript.pyannote[292].start 3615.07784375
transcript.pyannote[292].end 3615.95534375
transcript.pyannote[293].speaker SPEAKER_21
transcript.pyannote[293].start 3617.57534375
transcript.pyannote[293].end 3624.51096875
transcript.pyannote[294].speaker SPEAKER_06
transcript.pyannote[294].start 3623.80221875
transcript.pyannote[294].end 3624.02159375
transcript.pyannote[295].speaker SPEAKER_21
transcript.pyannote[295].start 3624.93284375
transcript.pyannote[295].end 3625.60784375
transcript.pyannote[296].speaker SPEAKER_21
transcript.pyannote[296].start 3625.86096875
transcript.pyannote[296].end 3632.29034375
transcript.pyannote[297].speaker SPEAKER_21
transcript.pyannote[297].start 3632.69534375
transcript.pyannote[297].end 3640.98096875
transcript.pyannote[298].speaker SPEAKER_21
transcript.pyannote[298].start 3641.45346875
transcript.pyannote[298].end 3647.66346875
transcript.pyannote[299].speaker SPEAKER_21
transcript.pyannote[299].start 3648.18659375
transcript.pyannote[299].end 3653.77221875
transcript.pyannote[300].speaker SPEAKER_14
transcript.pyannote[300].start 3654.73409375
transcript.pyannote[300].end 3685.41284375
transcript.pyannote[301].speaker SPEAKER_14
transcript.pyannote[301].start 3685.86846875
transcript.pyannote[301].end 3685.88534375
transcript.pyannote[302].speaker SPEAKER_21
transcript.pyannote[302].start 3685.88534375
transcript.pyannote[302].end 3704.68409375
transcript.pyannote[303].speaker SPEAKER_21
transcript.pyannote[303].start 3705.07221875
transcript.pyannote[303].end 3715.01159375
transcript.pyannote[304].speaker SPEAKER_21
transcript.pyannote[304].start 3715.51784375
transcript.pyannote[304].end 3716.14221875
transcript.pyannote[305].speaker SPEAKER_21
transcript.pyannote[305].start 3717.17159375
transcript.pyannote[305].end 3720.90096875
transcript.pyannote[306].speaker SPEAKER_06
transcript.pyannote[306].start 3720.12471875
transcript.pyannote[306].end 3723.38159375
transcript.pyannote[307].speaker SPEAKER_05
transcript.pyannote[307].start 3723.92159375
transcript.pyannote[307].end 3724.41096875
transcript.pyannote[308].speaker SPEAKER_05
transcript.pyannote[308].start 3724.69784375
transcript.pyannote[308].end 3726.79034375
transcript.pyannote[309].speaker SPEAKER_05
transcript.pyannote[309].start 3728.83221875
transcript.pyannote[309].end 3731.14409375
transcript.pyannote[310].speaker SPEAKER_03
transcript.pyannote[310].start 3739.93596875
transcript.pyannote[310].end 3741.97784375
transcript.pyannote[311].speaker SPEAKER_03
transcript.pyannote[311].start 3742.38284375
transcript.pyannote[311].end 3745.20096875
transcript.pyannote[312].speaker SPEAKER_03
transcript.pyannote[312].start 3745.30221875
transcript.pyannote[312].end 3746.50034375
transcript.pyannote[313].speaker SPEAKER_04
transcript.pyannote[313].start 3751.78221875
transcript.pyannote[313].end 3782.68034375
transcript.pyannote[314].speaker SPEAKER_15
transcript.pyannote[314].start 3783.00096875
transcript.pyannote[314].end 3783.16971875
transcript.pyannote[315].speaker SPEAKER_04
transcript.pyannote[315].start 3783.16971875
transcript.pyannote[315].end 3795.18471875
transcript.pyannote[316].speaker SPEAKER_04
transcript.pyannote[316].start 3795.37034375
transcript.pyannote[316].end 3796.82159375
transcript.pyannote[317].speaker SPEAKER_04
transcript.pyannote[317].start 3796.97346875
transcript.pyannote[317].end 3809.98409375
transcript.pyannote[318].speaker SPEAKER_04
transcript.pyannote[318].start 3810.59159375
transcript.pyannote[318].end 3815.83971875
transcript.pyannote[319].speaker SPEAKER_04
transcript.pyannote[319].start 3816.10971875
transcript.pyannote[319].end 3838.97534375
transcript.pyannote[320].speaker SPEAKER_14
transcript.pyannote[320].start 3838.97534375
transcript.pyannote[320].end 3863.03909375
transcript.pyannote[321].speaker SPEAKER_04
transcript.pyannote[321].start 3841.48971875
transcript.pyannote[321].end 3841.82721875
transcript.pyannote[322].speaker SPEAKER_00
transcript.pyannote[322].start 3847.17659375
transcript.pyannote[322].end 3847.54784375
transcript.pyannote[323].speaker SPEAKER_00
transcript.pyannote[323].start 3853.60596875
transcript.pyannote[323].end 3853.94346875
transcript.pyannote[324].speaker SPEAKER_04
transcript.pyannote[324].start 3863.03909375
transcript.pyannote[324].end 3884.40284375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 3880.25159375
transcript.pyannote[325].end 3880.28534375
transcript.pyannote[326].speaker SPEAKER_04
transcript.pyannote[326].start 3884.63909375
transcript.pyannote[326].end 3900.18096875
transcript.pyannote[327].speaker SPEAKER_04
transcript.pyannote[327].start 3900.38346875
transcript.pyannote[327].end 3918.35534375
transcript.pyannote[328].speaker SPEAKER_03
transcript.pyannote[328].start 3908.46659375
transcript.pyannote[328].end 3910.62659375
transcript.pyannote[329].speaker SPEAKER_04
transcript.pyannote[329].start 3918.62534375
transcript.pyannote[329].end 3930.58971875
transcript.pyannote[330].speaker SPEAKER_04
transcript.pyannote[330].start 3931.19721875
transcript.pyannote[330].end 3945.96284375
transcript.pyannote[331].speaker SPEAKER_14
transcript.pyannote[331].start 3944.54534375
transcript.pyannote[331].end 3944.89971875
transcript.pyannote[332].speaker SPEAKER_14
transcript.pyannote[332].start 3945.96284375
transcript.pyannote[332].end 3972.03471875
transcript.pyannote[333].speaker SPEAKER_04
transcript.pyannote[333].start 3949.45596875
transcript.pyannote[333].end 3949.82721875
transcript.pyannote[334].speaker SPEAKER_00
transcript.pyannote[334].start 3953.20221875
transcript.pyannote[334].end 3953.32034375
transcript.pyannote[335].speaker SPEAKER_15
transcript.pyannote[335].start 3953.32034375
transcript.pyannote[335].end 3953.38784375
transcript.pyannote[336].speaker SPEAKER_00
transcript.pyannote[336].start 3953.38784375
transcript.pyannote[336].end 3953.50596875
transcript.pyannote[337].speaker SPEAKER_03
transcript.pyannote[337].start 3971.07284375
transcript.pyannote[337].end 3971.52846875
transcript.pyannote[338].speaker SPEAKER_04
transcript.pyannote[338].start 3972.03471875
transcript.pyannote[338].end 3987.86346875
transcript.pyannote[339].speaker SPEAKER_14
transcript.pyannote[339].start 3987.86346875
transcript.pyannote[339].end 3988.36971875
transcript.pyannote[340].speaker SPEAKER_04
transcript.pyannote[340].start 3988.28534375
transcript.pyannote[340].end 4002.69659375
transcript.pyannote[341].speaker SPEAKER_04
transcript.pyannote[341].start 4003.62471875
transcript.pyannote[341].end 4034.99534375
transcript.pyannote[342].speaker SPEAKER_04
transcript.pyannote[342].start 4035.88971875
transcript.pyannote[342].end 4062.78846875
transcript.pyannote[343].speaker SPEAKER_04
transcript.pyannote[343].start 4063.22721875
transcript.pyannote[343].end 4065.42096875
transcript.pyannote[344].speaker SPEAKER_06
transcript.pyannote[344].start 4065.77534375
transcript.pyannote[344].end 4089.87284375
transcript.pyannote[345].speaker SPEAKER_04
transcript.pyannote[345].start 4088.72534375
transcript.pyannote[345].end 4090.63221875
transcript.pyannote[346].speaker SPEAKER_06
transcript.pyannote[346].start 4090.36221875
transcript.pyannote[346].end 4101.68534375
transcript.pyannote[347].speaker SPEAKER_04
transcript.pyannote[347].start 4091.39159375
transcript.pyannote[347].end 4091.74596875
transcript.pyannote[348].speaker SPEAKER_15
transcript.pyannote[348].start 4101.76971875
transcript.pyannote[348].end 4102.24221875
transcript.pyannote[349].speaker SPEAKER_06
transcript.pyannote[349].start 4102.81596875
transcript.pyannote[349].end 4104.03096875
transcript.pyannote[350].speaker SPEAKER_06
transcript.pyannote[350].start 4104.70596875
transcript.pyannote[350].end 4113.86909375
transcript.pyannote[351].speaker SPEAKER_15
transcript.pyannote[351].start 4106.44409375
transcript.pyannote[351].end 4106.46096875
transcript.pyannote[352].speaker SPEAKER_04
transcript.pyannote[352].start 4106.46096875
transcript.pyannote[352].end 4109.80221875
transcript.pyannote[353].speaker SPEAKER_04
transcript.pyannote[353].start 4113.86909375
transcript.pyannote[353].end 4125.90096875
transcript.pyannote[354].speaker SPEAKER_04
transcript.pyannote[354].start 4127.70659375
transcript.pyannote[354].end 4130.69346875
transcript.pyannote[355].speaker SPEAKER_06
transcript.pyannote[355].start 4130.69346875
transcript.pyannote[355].end 4130.74409375
transcript.pyannote[356].speaker SPEAKER_06
transcript.pyannote[356].start 4131.14909375
transcript.pyannote[356].end 4145.72909375
transcript.pyannote[357].speaker SPEAKER_04
transcript.pyannote[357].start 4145.20596875
transcript.pyannote[357].end 4150.35284375
transcript.pyannote[358].speaker SPEAKER_06
transcript.pyannote[358].start 4150.35284375
transcript.pyannote[358].end 4150.38659375
transcript.pyannote[359].speaker SPEAKER_04
transcript.pyannote[359].start 4150.38659375
transcript.pyannote[359].end 4185.13221875
transcript.pyannote[360].speaker SPEAKER_00
transcript.pyannote[360].start 4176.47534375
transcript.pyannote[360].end 4176.59346875
transcript.pyannote[361].speaker SPEAKER_00
transcript.pyannote[361].start 4178.90534375
transcript.pyannote[361].end 4179.02346875
transcript.pyannote[362].speaker SPEAKER_06
transcript.pyannote[362].start 4179.02346875
transcript.pyannote[362].end 4179.73221875
transcript.pyannote[363].speaker SPEAKER_06
transcript.pyannote[363].start 4180.15409375
transcript.pyannote[363].end 4180.23846875
transcript.pyannote[364].speaker SPEAKER_00
transcript.pyannote[364].start 4180.23846875
transcript.pyannote[364].end 4180.25534375
transcript.pyannote[365].speaker SPEAKER_06
transcript.pyannote[365].start 4185.13221875
transcript.pyannote[365].end 4187.51159375
transcript.pyannote[366].speaker SPEAKER_04
transcript.pyannote[366].start 4186.44846875
transcript.pyannote[366].end 4189.09784375
transcript.pyannote[367].speaker SPEAKER_06
transcript.pyannote[367].start 4189.53659375
transcript.pyannote[367].end 4197.67034375
transcript.pyannote[368].speaker SPEAKER_04
transcript.pyannote[368].start 4197.67034375
transcript.pyannote[368].end 4197.92346875
transcript.pyannote[369].speaker SPEAKER_06
transcript.pyannote[369].start 4197.92346875
transcript.pyannote[369].end 4197.99096875
transcript.pyannote[370].speaker SPEAKER_04
transcript.pyannote[370].start 4197.99096875
transcript.pyannote[370].end 4202.05784375
transcript.pyannote[371].speaker SPEAKER_06
transcript.pyannote[371].start 4199.44221875
transcript.pyannote[371].end 4200.77534375
transcript.pyannote[372].speaker SPEAKER_14
transcript.pyannote[372].start 4200.77534375
transcript.pyannote[372].end 4221.59909375
transcript.pyannote[373].speaker SPEAKER_04
transcript.pyannote[373].start 4202.95221875
transcript.pyannote[373].end 4203.81284375
transcript.pyannote[374].speaker SPEAKER_04
transcript.pyannote[374].start 4208.87534375
transcript.pyannote[374].end 4209.29721875
transcript.pyannote[375].speaker SPEAKER_14
transcript.pyannote[375].start 4222.35846875
transcript.pyannote[375].end 4231.70721875
transcript.pyannote[376].speaker SPEAKER_04
transcript.pyannote[376].start 4225.75034375
transcript.pyannote[376].end 4226.47596875
transcript.pyannote[377].speaker SPEAKER_04
transcript.pyannote[377].start 4226.84721875
transcript.pyannote[377].end 4226.88096875
transcript.pyannote[378].speaker SPEAKER_04
transcript.pyannote[378].start 4226.93159375
transcript.pyannote[378].end 4227.53909375
transcript.pyannote[379].speaker SPEAKER_04
transcript.pyannote[379].start 4228.60221875
transcript.pyannote[379].end 4229.83409375
transcript.pyannote[380].speaker SPEAKER_04
transcript.pyannote[380].start 4230.45846875
transcript.pyannote[380].end 4247.60346875
transcript.pyannote[381].speaker SPEAKER_04
transcript.pyannote[381].start 4247.87346875
transcript.pyannote[381].end 4255.90596875
transcript.pyannote[382].speaker SPEAKER_06
transcript.pyannote[382].start 4256.17596875
transcript.pyannote[382].end 4269.65909375
transcript.pyannote[383].speaker SPEAKER_06
transcript.pyannote[383].start 4270.14846875
transcript.pyannote[383].end 4279.96971875
transcript.pyannote[384].speaker SPEAKER_04
transcript.pyannote[384].start 4279.48034375
transcript.pyannote[384].end 4287.09096875
transcript.pyannote[385].speaker SPEAKER_06
transcript.pyannote[385].start 4280.29034375
transcript.pyannote[385].end 4282.58534375
transcript.pyannote[386].speaker SPEAKER_04
transcript.pyannote[386].start 4287.32721875
transcript.pyannote[386].end 4291.46159375
transcript.pyannote[387].speaker SPEAKER_06
transcript.pyannote[387].start 4291.76534375
transcript.pyannote[387].end 4314.66471875
transcript.pyannote[388].speaker SPEAKER_04
transcript.pyannote[388].start 4296.57471875
transcript.pyannote[388].end 4296.96284375
transcript.pyannote[389].speaker SPEAKER_15
transcript.pyannote[389].start 4306.34534375
transcript.pyannote[389].end 4306.78409375
transcript.pyannote[390].speaker SPEAKER_04
transcript.pyannote[390].start 4314.90096875
transcript.pyannote[390].end 4326.20721875
transcript.pyannote[391].speaker SPEAKER_06
transcript.pyannote[391].start 4326.44346875
transcript.pyannote[391].end 4336.39971875
transcript.pyannote[392].speaker SPEAKER_04
transcript.pyannote[392].start 4337.14221875
transcript.pyannote[392].end 4337.37846875
transcript.pyannote[393].speaker SPEAKER_04
transcript.pyannote[393].start 4337.68221875
transcript.pyannote[393].end 4337.88471875
transcript.pyannote[394].speaker SPEAKER_04
transcript.pyannote[394].start 4338.50909375
transcript.pyannote[394].end 4340.26409375
transcript.pyannote[395].speaker SPEAKER_04
transcript.pyannote[395].start 4341.07409375
transcript.pyannote[395].end 4397.26784375
transcript.pyannote[396].speaker SPEAKER_06
transcript.pyannote[396].start 4397.26784375
transcript.pyannote[396].end 4413.29909375
transcript.pyannote[397].speaker SPEAKER_04
transcript.pyannote[397].start 4398.22971875
transcript.pyannote[397].end 4398.28034375
transcript.pyannote[398].speaker SPEAKER_04
transcript.pyannote[398].start 4412.59034375
transcript.pyannote[398].end 4454.98034375
transcript.pyannote[399].speaker SPEAKER_04
transcript.pyannote[399].start 4455.11534375
transcript.pyannote[399].end 4480.17471875
transcript.pyannote[400].speaker SPEAKER_04
transcript.pyannote[400].start 4481.20409375
transcript.pyannote[400].end 4484.61284375
transcript.pyannote[401].speaker SPEAKER_04
transcript.pyannote[401].start 4484.91659375
transcript.pyannote[401].end 4485.49034375
transcript.pyannote[402].speaker SPEAKER_04
transcript.pyannote[402].start 4485.65909375
transcript.pyannote[402].end 4485.92909375
transcript.pyannote[403].speaker SPEAKER_04
transcript.pyannote[403].start 4486.38471875
transcript.pyannote[403].end 4502.38221875
transcript.pyannote[404].speaker SPEAKER_06
transcript.pyannote[404].start 4502.46659375
transcript.pyannote[404].end 4507.05659375
transcript.pyannote[405].speaker SPEAKER_05
transcript.pyannote[405].start 4508.15346875
transcript.pyannote[405].end 4510.22909375
transcript.pyannote[406].speaker SPEAKER_05
transcript.pyannote[406].start 4511.00534375
transcript.pyannote[406].end 4516.47284375
transcript.pyannote[407].speaker SPEAKER_09
transcript.pyannote[407].start 4521.41721875
transcript.pyannote[407].end 4521.78846875
transcript.pyannote[408].speaker SPEAKER_09
transcript.pyannote[408].start 4522.42971875
transcript.pyannote[408].end 4526.07471875
transcript.pyannote[409].speaker SPEAKER_09
transcript.pyannote[409].start 4526.56409375
transcript.pyannote[409].end 4527.37409375
transcript.pyannote[410].speaker SPEAKER_09
transcript.pyannote[410].start 4533.68534375
transcript.pyannote[410].end 4539.27096875
transcript.pyannote[411].speaker SPEAKER_09
transcript.pyannote[411].start 4539.82784375
transcript.pyannote[411].end 4546.27409375
transcript.pyannote[412].speaker SPEAKER_00
transcript.pyannote[412].start 4541.09346875
transcript.pyannote[412].end 4541.53221875
transcript.pyannote[413].speaker SPEAKER_15
transcript.pyannote[413].start 4544.67096875
transcript.pyannote[413].end 4545.12659375
transcript.pyannote[414].speaker SPEAKER_15
transcript.pyannote[414].start 4545.44721875
transcript.pyannote[414].end 4545.76784375
transcript.pyannote[415].speaker SPEAKER_09
transcript.pyannote[415].start 4546.76346875
transcript.pyannote[415].end 4549.68284375
transcript.pyannote[416].speaker SPEAKER_09
transcript.pyannote[416].start 4549.73346875
transcript.pyannote[416].end 4551.11721875
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 4551.60659375
transcript.pyannote[417].end 4554.81284375
transcript.pyannote[418].speaker SPEAKER_09
transcript.pyannote[418].start 4555.26846875
transcript.pyannote[418].end 4556.19659375
transcript.pyannote[419].speaker SPEAKER_09
transcript.pyannote[419].start 4557.09096875
transcript.pyannote[419].end 4559.43659375
transcript.pyannote[420].speaker SPEAKER_09
transcript.pyannote[420].start 4560.61784375
transcript.pyannote[420].end 4563.65534375
transcript.pyannote[421].speaker SPEAKER_09
transcript.pyannote[421].start 4563.92534375
transcript.pyannote[421].end 4567.30034375
transcript.pyannote[422].speaker SPEAKER_09
transcript.pyannote[422].start 4567.68846875
transcript.pyannote[422].end 4569.66284375
transcript.pyannote[423].speaker SPEAKER_09
transcript.pyannote[423].start 4569.86534375
transcript.pyannote[423].end 4572.81846875
transcript.pyannote[424].speaker SPEAKER_09
transcript.pyannote[424].start 4573.24034375
transcript.pyannote[424].end 4577.47596875
transcript.pyannote[425].speaker SPEAKER_09
transcript.pyannote[425].start 4577.79659375
transcript.pyannote[425].end 4579.75409375
transcript.pyannote[426].speaker SPEAKER_09
transcript.pyannote[426].start 4581.03659375
transcript.pyannote[426].end 4583.65221875
transcript.pyannote[427].speaker SPEAKER_09
transcript.pyannote[427].start 4584.32721875
transcript.pyannote[427].end 4585.62659375
transcript.pyannote[428].speaker SPEAKER_09
transcript.pyannote[428].start 4586.09909375
transcript.pyannote[428].end 4588.14096875
transcript.pyannote[429].speaker SPEAKER_09
transcript.pyannote[429].start 4589.40659375
transcript.pyannote[429].end 4591.02659375
transcript.pyannote[430].speaker SPEAKER_09
transcript.pyannote[430].start 4591.24596875
transcript.pyannote[430].end 4593.60846875
transcript.pyannote[431].speaker SPEAKER_09
transcript.pyannote[431].start 4594.40159375
transcript.pyannote[431].end 4595.85284375
transcript.pyannote[432].speaker SPEAKER_09
transcript.pyannote[432].start 4596.25784375
transcript.pyannote[432].end 4600.24034375
transcript.pyannote[433].speaker SPEAKER_09
transcript.pyannote[433].start 4601.80971875
transcript.pyannote[433].end 4607.39534375
transcript.pyannote[434].speaker SPEAKER_09
transcript.pyannote[434].start 4607.78346875
transcript.pyannote[434].end 4610.16284375
transcript.pyannote[435].speaker SPEAKER_09
transcript.pyannote[435].start 4611.20909375
transcript.pyannote[435].end 4612.81221875
transcript.pyannote[436].speaker SPEAKER_09
transcript.pyannote[436].start 4613.41971875
transcript.pyannote[436].end 4614.87096875
transcript.pyannote[437].speaker SPEAKER_09
transcript.pyannote[437].start 4615.96784375
transcript.pyannote[437].end 4617.50346875
transcript.pyannote[438].speaker SPEAKER_09
transcript.pyannote[438].start 4618.41471875
transcript.pyannote[438].end 4619.49471875
transcript.pyannote[439].speaker SPEAKER_09
transcript.pyannote[439].start 4620.00096875
transcript.pyannote[439].end 4621.28346875
transcript.pyannote[440].speaker SPEAKER_09
transcript.pyannote[440].start 4621.94159375
transcript.pyannote[440].end 4622.86971875
transcript.pyannote[441].speaker SPEAKER_09
transcript.pyannote[441].start 4623.05534375
transcript.pyannote[441].end 4623.40971875
transcript.pyannote[442].speaker SPEAKER_14
transcript.pyannote[442].start 4623.79784375
transcript.pyannote[442].end 4624.18596875
transcript.pyannote[443].speaker SPEAKER_09
transcript.pyannote[443].start 4625.02971875
transcript.pyannote[443].end 4625.56971875
transcript.pyannote[444].speaker SPEAKER_09
transcript.pyannote[444].start 4625.90721875
transcript.pyannote[444].end 4628.30346875
transcript.pyannote[445].speaker SPEAKER_09
transcript.pyannote[445].start 4629.36659375
transcript.pyannote[445].end 4631.27346875
transcript.pyannote[446].speaker SPEAKER_09
transcript.pyannote[446].start 4631.69534375
transcript.pyannote[446].end 4634.42909375
transcript.pyannote[447].speaker SPEAKER_09
transcript.pyannote[447].start 4634.93534375
transcript.pyannote[447].end 4636.25159375
transcript.pyannote[448].speaker SPEAKER_09
transcript.pyannote[448].start 4637.16284375
transcript.pyannote[448].end 4638.29346875
transcript.pyannote[449].speaker SPEAKER_09
transcript.pyannote[449].start 4638.91784375
transcript.pyannote[449].end 4640.48721875
transcript.pyannote[450].speaker SPEAKER_09
transcript.pyannote[450].start 4641.90471875
transcript.pyannote[450].end 4642.91721875
transcript.pyannote[451].speaker SPEAKER_09
transcript.pyannote[451].start 4643.54159375
transcript.pyannote[451].end 4643.59221875
transcript.pyannote[452].speaker SPEAKER_09
transcript.pyannote[452].start 4644.25034375
transcript.pyannote[452].end 4645.41471875
transcript.pyannote[453].speaker SPEAKER_09
transcript.pyannote[453].start 4646.14034375
transcript.pyannote[453].end 4646.51159375
transcript.pyannote[454].speaker SPEAKER_09
transcript.pyannote[454].start 4647.01784375
transcript.pyannote[454].end 4650.19034375
transcript.pyannote[455].speaker SPEAKER_09
transcript.pyannote[455].start 4650.49409375
transcript.pyannote[455].end 4652.68784375
transcript.pyannote[456].speaker SPEAKER_09
transcript.pyannote[456].start 4653.22784375
transcript.pyannote[456].end 4655.48909375
transcript.pyannote[457].speaker SPEAKER_09
transcript.pyannote[457].start 4655.67471875
transcript.pyannote[457].end 4657.27784375
transcript.pyannote[458].speaker SPEAKER_09
transcript.pyannote[458].start 4658.45909375
transcript.pyannote[458].end 4659.37034375
transcript.pyannote[459].speaker SPEAKER_09
transcript.pyannote[459].start 4660.24784375
transcript.pyannote[459].end 4661.68221875
transcript.pyannote[460].speaker SPEAKER_09
transcript.pyannote[460].start 4662.34034375
transcript.pyannote[460].end 4662.94784375
transcript.pyannote[461].speaker SPEAKER_09
transcript.pyannote[461].start 4663.69034375
transcript.pyannote[461].end 4664.46659375
transcript.pyannote[462].speaker SPEAKER_09
transcript.pyannote[462].start 4665.34409375
transcript.pyannote[462].end 4666.37346875
transcript.pyannote[463].speaker SPEAKER_09
transcript.pyannote[463].start 4666.72784375
transcript.pyannote[463].end 4667.06534375
transcript.pyannote[464].speaker SPEAKER_09
transcript.pyannote[464].start 4667.40284375
transcript.pyannote[464].end 4668.33096875
transcript.pyannote[465].speaker SPEAKER_09
transcript.pyannote[465].start 4668.88784375
transcript.pyannote[465].end 4670.13659375
transcript.pyannote[466].speaker SPEAKER_09
transcript.pyannote[466].start 4670.86221875
transcript.pyannote[466].end 4671.35159375
transcript.pyannote[467].speaker SPEAKER_09
transcript.pyannote[467].start 4672.54971875
transcript.pyannote[467].end 4673.19096875
transcript.pyannote[468].speaker SPEAKER_09
transcript.pyannote[468].start 4673.64659375
transcript.pyannote[468].end 4675.03034375
transcript.pyannote[469].speaker SPEAKER_09
transcript.pyannote[469].start 4675.95846875
transcript.pyannote[469].end 4677.98346875
transcript.pyannote[470].speaker SPEAKER_09
transcript.pyannote[470].start 4678.60784375
transcript.pyannote[470].end 4679.40096875
transcript.pyannote[471].speaker SPEAKER_09
transcript.pyannote[471].start 4680.27846875
transcript.pyannote[471].end 4680.93659375
transcript.pyannote[472].speaker SPEAKER_09
transcript.pyannote[472].start 4681.59471875
transcript.pyannote[472].end 4683.87284375
transcript.pyannote[473].speaker SPEAKER_09
transcript.pyannote[473].start 4684.54784375
transcript.pyannote[473].end 4689.17159375
transcript.pyannote[474].speaker SPEAKER_09
transcript.pyannote[474].start 4689.59346875
transcript.pyannote[474].end 4691.95596875
transcript.pyannote[475].speaker SPEAKER_09
transcript.pyannote[475].start 4692.54659375
transcript.pyannote[475].end 4695.14534375
transcript.pyannote[476].speaker SPEAKER_09
transcript.pyannote[476].start 4695.70221875
transcript.pyannote[476].end 4698.53721875
transcript.pyannote[477].speaker SPEAKER_09
transcript.pyannote[477].start 4699.36409375
transcript.pyannote[477].end 4701.10221875
transcript.pyannote[478].speaker SPEAKER_09
transcript.pyannote[478].start 4701.55784375
transcript.pyannote[478].end 4702.67159375
transcript.pyannote[479].speaker SPEAKER_09
transcript.pyannote[479].start 4703.61659375
transcript.pyannote[479].end 4705.96221875
transcript.pyannote[480].speaker SPEAKER_09
transcript.pyannote[480].start 4707.21096875
transcript.pyannote[480].end 4708.83096875
transcript.pyannote[481].speaker SPEAKER_09
transcript.pyannote[481].start 4708.96596875
transcript.pyannote[481].end 4709.79284375
transcript.pyannote[482].speaker SPEAKER_09
transcript.pyannote[482].start 4710.34971875
transcript.pyannote[482].end 4712.44221875
transcript.pyannote[483].speaker SPEAKER_09
transcript.pyannote[483].start 4713.57284375
transcript.pyannote[483].end 4714.70346875
transcript.pyannote[484].speaker SPEAKER_09
transcript.pyannote[484].start 4715.14221875
transcript.pyannote[484].end 4716.25596875
transcript.pyannote[485].speaker SPEAKER_09
transcript.pyannote[485].start 4716.45846875
transcript.pyannote[485].end 4717.89284375
transcript.pyannote[486].speaker SPEAKER_09
transcript.pyannote[486].start 4719.12471875
transcript.pyannote[486].end 4719.69846875
transcript.pyannote[487].speaker SPEAKER_09
transcript.pyannote[487].start 4720.10346875
transcript.pyannote[487].end 4721.28471875
transcript.pyannote[488].speaker SPEAKER_09
transcript.pyannote[488].start 4721.90909375
transcript.pyannote[488].end 4722.85409375
transcript.pyannote[489].speaker SPEAKER_09
transcript.pyannote[489].start 4724.08596875
transcript.pyannote[489].end 4725.25034375
transcript.pyannote[490].speaker SPEAKER_09
transcript.pyannote[490].start 4725.80721875
transcript.pyannote[490].end 4727.14034375
transcript.pyannote[491].speaker SPEAKER_09
transcript.pyannote[491].start 4728.11909375
transcript.pyannote[491].end 4730.41409375
transcript.pyannote[492].speaker SPEAKER_09
transcript.pyannote[492].start 4730.78534375
transcript.pyannote[492].end 4732.38846875
transcript.pyannote[493].speaker SPEAKER_09
transcript.pyannote[493].start 4732.84409375
transcript.pyannote[493].end 4733.68784375
transcript.pyannote[494].speaker SPEAKER_09
transcript.pyannote[494].start 4734.31221875
transcript.pyannote[494].end 4736.79284375
transcript.pyannote[495].speaker SPEAKER_14
transcript.pyannote[495].start 4736.79284375
transcript.pyannote[495].end 4750.34346875
transcript.pyannote[496].speaker SPEAKER_14
transcript.pyannote[496].start 4750.84971875
transcript.pyannote[496].end 4859.33909375
transcript.pyannote[497].speaker SPEAKER_09
transcript.pyannote[497].start 4777.64721875
transcript.pyannote[497].end 4778.17034375
transcript.pyannote[498].speaker SPEAKER_09
transcript.pyannote[498].start 4778.32221875
transcript.pyannote[498].end 4779.14909375
transcript.pyannote[499].speaker SPEAKER_00
transcript.pyannote[499].start 4779.14909375
transcript.pyannote[499].end 4779.18284375
transcript.pyannote[500].speaker SPEAKER_00
transcript.pyannote[500].start 4779.23346875
transcript.pyannote[500].end 4779.30096875
transcript.pyannote[501].speaker SPEAKER_09
transcript.pyannote[501].start 4779.30096875
transcript.pyannote[501].end 4784.07659375
transcript.pyannote[502].speaker SPEAKER_09
transcript.pyannote[502].start 4791.65346875
transcript.pyannote[502].end 4793.74596875
transcript.pyannote[503].speaker SPEAKER_09
transcript.pyannote[503].start 4794.16784375
transcript.pyannote[503].end 4794.97784375
transcript.pyannote[504].speaker SPEAKER_00
transcript.pyannote[504].start 4794.97784375
transcript.pyannote[504].end 4795.11284375
transcript.pyannote[505].speaker SPEAKER_00
transcript.pyannote[505].start 4795.99034375
transcript.pyannote[505].end 4796.20971875
transcript.pyannote[506].speaker SPEAKER_09
transcript.pyannote[506].start 4858.71471875
transcript.pyannote[506].end 4859.40659375
transcript.pyannote[507].speaker SPEAKER_14
transcript.pyannote[507].start 4859.40659375
transcript.pyannote[507].end 4859.47409375
transcript.pyannote[508].speaker SPEAKER_09
transcript.pyannote[508].start 4859.47409375
transcript.pyannote[508].end 4859.52471875
transcript.pyannote[509].speaker SPEAKER_14
transcript.pyannote[509].start 4859.52471875
transcript.pyannote[509].end 4859.60909375
transcript.pyannote[510].speaker SPEAKER_09
transcript.pyannote[510].start 4859.60909375
transcript.pyannote[510].end 4860.70596875
transcript.pyannote[511].speaker SPEAKER_09
transcript.pyannote[511].start 4861.19534375
transcript.pyannote[511].end 4862.41034375
transcript.pyannote[512].speaker SPEAKER_09
transcript.pyannote[512].start 4869.68346875
transcript.pyannote[512].end 4871.10096875
transcript.pyannote[513].speaker SPEAKER_09
transcript.pyannote[513].start 4871.47221875
transcript.pyannote[513].end 4872.63659375
transcript.pyannote[514].speaker SPEAKER_09
transcript.pyannote[514].start 4873.31159375
transcript.pyannote[514].end 4875.30284375
transcript.pyannote[515].speaker SPEAKER_09
transcript.pyannote[515].start 4875.58971875
transcript.pyannote[515].end 4876.75409375
transcript.pyannote[516].speaker SPEAKER_09
transcript.pyannote[516].start 4876.80471875
transcript.pyannote[516].end 4877.44596875
transcript.pyannote[517].speaker SPEAKER_09
transcript.pyannote[517].start 4878.22221875
transcript.pyannote[517].end 4880.16284375
transcript.pyannote[518].speaker SPEAKER_09
transcript.pyannote[518].start 4880.50034375
transcript.pyannote[518].end 4880.93909375
transcript.pyannote[519].speaker SPEAKER_09
transcript.pyannote[519].start 4881.74909375
transcript.pyannote[519].end 4882.84596875
transcript.pyannote[520].speaker SPEAKER_09
transcript.pyannote[520].start 4883.18346875
transcript.pyannote[520].end 4884.53346875
transcript.pyannote[521].speaker SPEAKER_09
transcript.pyannote[521].start 4885.09034375
transcript.pyannote[521].end 4886.76096875
transcript.pyannote[522].speaker SPEAKER_09
transcript.pyannote[522].start 4887.16596875
transcript.pyannote[522].end 4888.33034375
transcript.pyannote[523].speaker SPEAKER_09
transcript.pyannote[523].start 4889.42721875
transcript.pyannote[523].end 4890.45659375
transcript.pyannote[524].speaker SPEAKER_09
transcript.pyannote[524].start 4891.06409375
transcript.pyannote[524].end 4892.02596875
transcript.pyannote[525].speaker SPEAKER_09
transcript.pyannote[525].start 4892.46471875
transcript.pyannote[525].end 4894.81034375
transcript.pyannote[526].speaker SPEAKER_09
transcript.pyannote[526].start 4895.46846875
transcript.pyannote[526].end 4897.30784375
transcript.pyannote[527].speaker SPEAKER_09
transcript.pyannote[527].start 4898.06721875
transcript.pyannote[527].end 4899.13034375
transcript.pyannote[528].speaker SPEAKER_09
transcript.pyannote[528].start 4899.80534375
transcript.pyannote[528].end 4900.09221875
transcript.pyannote[529].speaker SPEAKER_09
transcript.pyannote[529].start 4900.59846875
transcript.pyannote[529].end 4902.26909375
transcript.pyannote[530].speaker SPEAKER_09
transcript.pyannote[530].start 4903.21409375
transcript.pyannote[530].end 4904.19284375
transcript.pyannote[531].speaker SPEAKER_09
transcript.pyannote[531].start 4904.59784375
transcript.pyannote[531].end 4906.53846875
transcript.pyannote[532].speaker SPEAKER_09
transcript.pyannote[532].start 4908.49596875
transcript.pyannote[532].end 4910.20034375
transcript.pyannote[533].speaker SPEAKER_09
transcript.pyannote[533].start 4910.48721875
transcript.pyannote[533].end 4918.28346875
transcript.pyannote[534].speaker SPEAKER_09
transcript.pyannote[534].start 4919.22846875
transcript.pyannote[534].end 4920.22409375
transcript.pyannote[535].speaker SPEAKER_09
transcript.pyannote[535].start 4920.94971875
transcript.pyannote[535].end 4922.29971875
transcript.pyannote[536].speaker SPEAKER_09
transcript.pyannote[536].start 4922.85659375
transcript.pyannote[536].end 4923.22784375
transcript.pyannote[537].speaker SPEAKER_09
transcript.pyannote[537].start 4923.85221875
transcript.pyannote[537].end 4924.86471875
transcript.pyannote[538].speaker SPEAKER_09
transcript.pyannote[538].start 4925.43846875
transcript.pyannote[538].end 4926.28221875
transcript.pyannote[539].speaker SPEAKER_09
transcript.pyannote[539].start 4926.46784375
transcript.pyannote[539].end 4928.67846875
transcript.pyannote[540].speaker SPEAKER_09
transcript.pyannote[540].start 4928.98221875
transcript.pyannote[540].end 4930.01159375
transcript.pyannote[541].speaker SPEAKER_09
transcript.pyannote[541].start 4930.41659375
transcript.pyannote[541].end 4933.74096875
transcript.pyannote[542].speaker SPEAKER_09
transcript.pyannote[542].start 4934.19659375
transcript.pyannote[542].end 4935.15846875
transcript.pyannote[543].speaker SPEAKER_09
transcript.pyannote[543].start 4935.64784375
transcript.pyannote[543].end 4938.90471875
transcript.pyannote[544].speaker SPEAKER_09
transcript.pyannote[544].start 4939.41096875
transcript.pyannote[544].end 4939.78221875
transcript.pyannote[545].speaker SPEAKER_09
transcript.pyannote[545].start 4940.54159375
transcript.pyannote[545].end 4941.01409375
transcript.pyannote[546].speaker SPEAKER_09
transcript.pyannote[546].start 4941.45284375
transcript.pyannote[546].end 4945.18221875
transcript.pyannote[547].speaker SPEAKER_09
transcript.pyannote[547].start 4946.04284375
transcript.pyannote[547].end 4946.88659375
transcript.pyannote[548].speaker SPEAKER_09
transcript.pyannote[548].start 4947.54471875
transcript.pyannote[548].end 4948.08471875
transcript.pyannote[549].speaker SPEAKER_09
transcript.pyannote[549].start 4948.54034375
transcript.pyannote[549].end 4950.83534375
transcript.pyannote[550].speaker SPEAKER_09
transcript.pyannote[550].start 4952.05034375
transcript.pyannote[550].end 4953.02909375
transcript.pyannote[551].speaker SPEAKER_09
transcript.pyannote[551].start 4955.03721875
transcript.pyannote[551].end 4959.23909375
transcript.pyannote[552].speaker SPEAKER_09
transcript.pyannote[552].start 4960.96034375
transcript.pyannote[552].end 4962.25971875
transcript.pyannote[553].speaker SPEAKER_09
transcript.pyannote[553].start 4962.63096875
transcript.pyannote[553].end 4963.55909375
transcript.pyannote[554].speaker SPEAKER_09
transcript.pyannote[554].start 4964.38596875
transcript.pyannote[554].end 4966.14096875
transcript.pyannote[555].speaker SPEAKER_09
transcript.pyannote[555].start 4968.16596875
transcript.pyannote[555].end 4971.50721875
transcript.pyannote[556].speaker SPEAKER_09
transcript.pyannote[556].start 4972.13159375
transcript.pyannote[556].end 4974.07221875
transcript.pyannote[557].speaker SPEAKER_09
transcript.pyannote[557].start 4974.98346875
transcript.pyannote[557].end 4976.67096875
transcript.pyannote[558].speaker SPEAKER_09
transcript.pyannote[558].start 4977.54846875
transcript.pyannote[558].end 4983.15096875
transcript.pyannote[559].speaker SPEAKER_09
transcript.pyannote[559].start 4984.66971875
transcript.pyannote[559].end 4986.61034375
transcript.pyannote[560].speaker SPEAKER_09
transcript.pyannote[560].start 4987.23471875
transcript.pyannote[560].end 4989.09096875
transcript.pyannote[561].speaker SPEAKER_09
transcript.pyannote[561].start 4989.37784375
transcript.pyannote[561].end 4991.40284375
transcript.pyannote[562].speaker SPEAKER_09
transcript.pyannote[562].start 4992.06096875
transcript.pyannote[562].end 4992.83721875
transcript.pyannote[563].speaker SPEAKER_09
transcript.pyannote[563].start 4994.30534375
transcript.pyannote[563].end 4995.03096875
transcript.pyannote[564].speaker SPEAKER_09
transcript.pyannote[564].start 4995.87471875
transcript.pyannote[564].end 4996.36409375
transcript.pyannote[565].speaker SPEAKER_09
transcript.pyannote[565].start 4997.29221875
transcript.pyannote[565].end 4999.14846875
transcript.pyannote[566].speaker SPEAKER_09
transcript.pyannote[566].start 5000.21159375
transcript.pyannote[566].end 5001.07221875
transcript.pyannote[567].speaker SPEAKER_09
transcript.pyannote[567].start 5002.23659375
transcript.pyannote[567].end 5003.82284375
transcript.pyannote[568].speaker SPEAKER_09
transcript.pyannote[568].start 5004.37971875
transcript.pyannote[568].end 5004.53159375
transcript.pyannote[569].speaker SPEAKER_09
transcript.pyannote[569].start 5004.91971875
transcript.pyannote[569].end 5007.33284375
transcript.pyannote[570].speaker SPEAKER_09
transcript.pyannote[570].start 5007.36659375
transcript.pyannote[570].end 5008.39596875
transcript.pyannote[571].speaker SPEAKER_09
transcript.pyannote[571].start 5008.63221875
transcript.pyannote[571].end 5010.08346875
transcript.pyannote[572].speaker SPEAKER_09
transcript.pyannote[572].start 5011.80471875
transcript.pyannote[572].end 5014.06596875
transcript.pyannote[573].speaker SPEAKER_09
transcript.pyannote[573].start 5014.33596875
transcript.pyannote[573].end 5017.54221875
transcript.pyannote[574].speaker SPEAKER_09
transcript.pyannote[574].start 5018.25096875
transcript.pyannote[574].end 5018.92596875
transcript.pyannote[575].speaker SPEAKER_09
transcript.pyannote[575].start 5019.98909375
transcript.pyannote[575].end 5023.80284375
transcript.pyannote[576].speaker SPEAKER_06
transcript.pyannote[576].start 5024.15721875
transcript.pyannote[576].end 5065.73721875
transcript.pyannote[577].speaker SPEAKER_06
transcript.pyannote[577].start 5066.53034375
transcript.pyannote[577].end 5066.96909375
transcript.pyannote[578].speaker SPEAKER_09
transcript.pyannote[578].start 5066.96909375
transcript.pyannote[578].end 5068.35284375
transcript.pyannote[579].speaker SPEAKER_06
transcript.pyannote[579].start 5068.35284375
transcript.pyannote[579].end 5068.48784375
transcript.pyannote[580].speaker SPEAKER_06
transcript.pyannote[580].start 5068.53846875
transcript.pyannote[580].end 5068.63971875
transcript.pyannote[581].speaker SPEAKER_09
transcript.pyannote[581].start 5068.63971875
transcript.pyannote[581].end 5069.68596875
transcript.pyannote[582].speaker SPEAKER_15
transcript.pyannote[582].start 5069.90534375
transcript.pyannote[582].end 5070.00659375
transcript.pyannote[583].speaker SPEAKER_09
transcript.pyannote[583].start 5070.00659375
transcript.pyannote[583].end 5071.03596875
transcript.pyannote[584].speaker SPEAKER_09
transcript.pyannote[584].start 5071.18784375
transcript.pyannote[584].end 5071.93034375
transcript.pyannote[585].speaker SPEAKER_15
transcript.pyannote[585].start 5071.93034375
transcript.pyannote[585].end 5072.23409375
transcript.pyannote[586].speaker SPEAKER_09
transcript.pyannote[586].start 5072.47034375
transcript.pyannote[586].end 5073.51659375
transcript.pyannote[587].speaker SPEAKER_09
transcript.pyannote[587].start 5073.80346875
transcript.pyannote[587].end 5075.17034375
transcript.pyannote[588].speaker SPEAKER_09
transcript.pyannote[588].start 5075.86221875
transcript.pyannote[588].end 5078.17409375
transcript.pyannote[589].speaker SPEAKER_09
transcript.pyannote[589].start 5078.62971875
transcript.pyannote[589].end 5079.43971875
transcript.pyannote[590].speaker SPEAKER_09
transcript.pyannote[590].start 5080.11471875
transcript.pyannote[590].end 5083.55721875
transcript.pyannote[591].speaker SPEAKER_09
transcript.pyannote[591].start 5084.04659375
transcript.pyannote[591].end 5086.52721875
transcript.pyannote[592].speaker SPEAKER_09
transcript.pyannote[592].start 5086.79721875
transcript.pyannote[592].end 5088.26534375
transcript.pyannote[593].speaker SPEAKER_09
transcript.pyannote[593].start 5088.68721875
transcript.pyannote[593].end 5089.04159375
transcript.pyannote[594].speaker SPEAKER_09
transcript.pyannote[594].start 5090.03721875
transcript.pyannote[594].end 5090.71221875
transcript.pyannote[595].speaker SPEAKER_09
transcript.pyannote[595].start 5091.75846875
transcript.pyannote[595].end 5093.32784375
transcript.pyannote[596].speaker SPEAKER_09
transcript.pyannote[596].start 5094.23909375
transcript.pyannote[596].end 5095.06596875
transcript.pyannote[597].speaker SPEAKER_09
transcript.pyannote[597].start 5095.11659375
transcript.pyannote[597].end 5095.94346875
transcript.pyannote[598].speaker SPEAKER_09
transcript.pyannote[598].start 5096.60159375
transcript.pyannote[598].end 5099.40284375
transcript.pyannote[599].speaker SPEAKER_09
transcript.pyannote[599].start 5099.87534375
transcript.pyannote[599].end 5102.99721875
transcript.pyannote[600].speaker SPEAKER_09
transcript.pyannote[600].start 5103.79034375
transcript.pyannote[600].end 5107.65471875
transcript.pyannote[601].speaker SPEAKER_09
transcript.pyannote[601].start 5108.16096875
transcript.pyannote[601].end 5113.07159375
transcript.pyannote[602].speaker SPEAKER_09
transcript.pyannote[602].start 5113.12221875
transcript.pyannote[602].end 5113.69596875
transcript.pyannote[603].speaker SPEAKER_09
transcript.pyannote[603].start 5113.96596875
transcript.pyannote[603].end 5119.46721875
transcript.pyannote[604].speaker SPEAKER_06
transcript.pyannote[604].start 5118.99471875
transcript.pyannote[604].end 5126.65596875
transcript.pyannote[605].speaker SPEAKER_09
transcript.pyannote[605].start 5119.70346875
transcript.pyannote[605].end 5120.15909375
transcript.pyannote[606].speaker SPEAKER_09
transcript.pyannote[606].start 5123.60159375
transcript.pyannote[606].end 5124.83346875
transcript.pyannote[607].speaker SPEAKER_09
transcript.pyannote[607].start 5125.52534375
transcript.pyannote[607].end 5131.54971875
transcript.pyannote[608].speaker SPEAKER_06
transcript.pyannote[608].start 5129.99721875
transcript.pyannote[608].end 5131.21221875
transcript.pyannote[609].speaker SPEAKER_06
transcript.pyannote[609].start 5131.54971875
transcript.pyannote[609].end 5131.61721875
transcript.pyannote[610].speaker SPEAKER_09
transcript.pyannote[610].start 5131.61721875
transcript.pyannote[610].end 5132.42721875
transcript.pyannote[611].speaker SPEAKER_06
transcript.pyannote[611].start 5132.42721875
transcript.pyannote[611].end 5134.35096875
transcript.pyannote[612].speaker SPEAKER_09
transcript.pyannote[612].start 5133.92909375
transcript.pyannote[612].end 5137.23659375
transcript.pyannote[613].speaker SPEAKER_06
transcript.pyannote[613].start 5134.90784375
transcript.pyannote[613].end 5134.95846875
transcript.pyannote[614].speaker SPEAKER_05
transcript.pyannote[614].start 5136.69659375
transcript.pyannote[614].end 5137.18596875
transcript.pyannote[615].speaker SPEAKER_05
transcript.pyannote[615].start 5137.23659375
transcript.pyannote[615].end 5137.25346875
transcript.pyannote[616].speaker SPEAKER_05
transcript.pyannote[616].start 5138.09721875
transcript.pyannote[616].end 5141.11784375
transcript.pyannote[617].speaker SPEAKER_05
transcript.pyannote[617].start 5142.01221875
transcript.pyannote[617].end 5144.22284375
transcript.pyannote[618].speaker SPEAKER_10
transcript.pyannote[618].start 5156.91284375
transcript.pyannote[618].end 5157.94221875
transcript.pyannote[619].speaker SPEAKER_10
transcript.pyannote[619].start 5158.31346875
transcript.pyannote[619].end 5159.61284375
transcript.pyannote[620].speaker SPEAKER_05
transcript.pyannote[620].start 5159.96721875
transcript.pyannote[620].end 5160.77721875
transcript.pyannote[621].speaker SPEAKER_10
transcript.pyannote[621].start 5162.19471875
transcript.pyannote[621].end 5163.76409375
transcript.pyannote[622].speaker SPEAKER_05
transcript.pyannote[622].start 5164.06784375
transcript.pyannote[622].end 5165.06346875
transcript.pyannote[623].speaker SPEAKER_10
transcript.pyannote[623].start 5164.37159375
transcript.pyannote[623].end 5165.75534375
transcript.pyannote[624].speaker SPEAKER_05
transcript.pyannote[624].start 5166.02534375
transcript.pyannote[624].end 5166.64971875
transcript.pyannote[625].speaker SPEAKER_10
transcript.pyannote[625].start 5170.68284375
transcript.pyannote[625].end 5171.84721875
transcript.pyannote[626].speaker SPEAKER_10
transcript.pyannote[626].start 5171.96534375
transcript.pyannote[626].end 5181.02721875
transcript.pyannote[627].speaker SPEAKER_10
transcript.pyannote[627].start 5181.48284375
transcript.pyannote[627].end 5187.70971875
transcript.pyannote[628].speaker SPEAKER_10
transcript.pyannote[628].start 5187.96284375
transcript.pyannote[628].end 5190.35909375
transcript.pyannote[629].speaker SPEAKER_10
transcript.pyannote[629].start 5191.13534375
transcript.pyannote[629].end 5195.03346875
transcript.pyannote[630].speaker SPEAKER_10
transcript.pyannote[630].start 5195.40471875
transcript.pyannote[630].end 5196.31596875
transcript.pyannote[631].speaker SPEAKER_10
transcript.pyannote[631].start 5196.56909375
transcript.pyannote[631].end 5198.34096875
transcript.pyannote[632].speaker SPEAKER_10
transcript.pyannote[632].start 5198.88096875
transcript.pyannote[632].end 5201.47971875
transcript.pyannote[633].speaker SPEAKER_10
transcript.pyannote[633].start 5201.71596875
transcript.pyannote[633].end 5211.06471875
transcript.pyannote[634].speaker SPEAKER_10
transcript.pyannote[634].start 5211.38534375
transcript.pyannote[634].end 5212.43159375
transcript.pyannote[635].speaker SPEAKER_10
transcript.pyannote[635].start 5213.76471875
transcript.pyannote[635].end 5216.05971875
transcript.pyannote[636].speaker SPEAKER_10
transcript.pyannote[636].start 5216.22846875
transcript.pyannote[636].end 5219.78909375
transcript.pyannote[637].speaker SPEAKER_10
transcript.pyannote[637].start 5220.34596875
transcript.pyannote[637].end 5221.76346875
transcript.pyannote[638].speaker SPEAKER_10
transcript.pyannote[638].start 5222.47221875
transcript.pyannote[638].end 5224.15971875
transcript.pyannote[639].speaker SPEAKER_10
transcript.pyannote[639].start 5224.66596875
transcript.pyannote[639].end 5225.77971875
transcript.pyannote[640].speaker SPEAKER_10
transcript.pyannote[640].start 5226.58971875
transcript.pyannote[640].end 5232.36096875
transcript.pyannote[641].speaker SPEAKER_10
transcript.pyannote[641].start 5232.71534375
transcript.pyannote[641].end 5233.23846875
transcript.pyannote[642].speaker SPEAKER_10
transcript.pyannote[642].start 5233.39034375
transcript.pyannote[642].end 5234.48721875
transcript.pyannote[643].speaker SPEAKER_10
transcript.pyannote[643].start 5234.79096875
transcript.pyannote[643].end 5235.92159375
transcript.pyannote[644].speaker SPEAKER_10
transcript.pyannote[644].start 5236.54596875
transcript.pyannote[644].end 5238.16596875
transcript.pyannote[645].speaker SPEAKER_10
transcript.pyannote[645].start 5238.48659375
transcript.pyannote[645].end 5243.76846875
transcript.pyannote[646].speaker SPEAKER_10
transcript.pyannote[646].start 5244.27471875
transcript.pyannote[646].end 5245.21971875
transcript.pyannote[647].speaker SPEAKER_10
transcript.pyannote[647].start 5245.27034375
transcript.pyannote[647].end 5246.21534375
transcript.pyannote[648].speaker SPEAKER_10
transcript.pyannote[648].start 5246.35034375
transcript.pyannote[648].end 5247.17721875
transcript.pyannote[649].speaker SPEAKER_10
transcript.pyannote[649].start 5247.37971875
transcript.pyannote[649].end 5249.48909375
transcript.pyannote[650].speaker SPEAKER_10
transcript.pyannote[650].start 5249.69159375
transcript.pyannote[650].end 5251.49721875
transcript.pyannote[651].speaker SPEAKER_10
transcript.pyannote[651].start 5253.26909375
transcript.pyannote[651].end 5254.02846875
transcript.pyannote[652].speaker SPEAKER_06
transcript.pyannote[652].start 5254.02846875
transcript.pyannote[652].end 5254.43346875
transcript.pyannote[653].speaker SPEAKER_06
transcript.pyannote[653].start 5255.78346875
transcript.pyannote[653].end 5261.33534375
transcript.pyannote[654].speaker SPEAKER_10
transcript.pyannote[654].start 5261.33534375
transcript.pyannote[654].end 5261.84159375
transcript.pyannote[655].speaker SPEAKER_06
transcript.pyannote[655].start 5261.84159375
transcript.pyannote[655].end 5261.97659375
transcript.pyannote[656].speaker SPEAKER_10
transcript.pyannote[656].start 5261.97659375
transcript.pyannote[656].end 5266.39784375
transcript.pyannote[657].speaker SPEAKER_10
transcript.pyannote[657].start 5266.63409375
transcript.pyannote[657].end 5267.61284375
transcript.pyannote[658].speaker SPEAKER_06
transcript.pyannote[658].start 5269.92471875
transcript.pyannote[658].end 5270.38034375
transcript.pyannote[659].speaker SPEAKER_06
transcript.pyannote[659].start 5270.98784375
transcript.pyannote[659].end 5272.00034375
transcript.pyannote[660].speaker SPEAKER_06
transcript.pyannote[660].start 5272.67534375
transcript.pyannote[660].end 5274.44721875
transcript.pyannote[661].speaker SPEAKER_06
transcript.pyannote[661].start 5275.61159375
transcript.pyannote[661].end 5275.89846875
transcript.pyannote[662].speaker SPEAKER_10
transcript.pyannote[662].start 5275.89846875
transcript.pyannote[662].end 5275.91534375
transcript.pyannote[663].speaker SPEAKER_06
transcript.pyannote[663].start 5276.55659375
transcript.pyannote[663].end 5276.97846875
transcript.pyannote[664].speaker SPEAKER_10
transcript.pyannote[664].start 5276.97846875
transcript.pyannote[664].end 5277.58596875
transcript.pyannote[665].speaker SPEAKER_10
transcript.pyannote[665].start 5278.15971875
transcript.pyannote[665].end 5299.06784375
transcript.pyannote[666].speaker SPEAKER_10
transcript.pyannote[666].start 5299.94534375
transcript.pyannote[666].end 5302.18971875
transcript.pyannote[667].speaker SPEAKER_10
transcript.pyannote[667].start 5302.54409375
transcript.pyannote[667].end 5302.91534375
transcript.pyannote[668].speaker SPEAKER_10
transcript.pyannote[668].start 5303.35409375
transcript.pyannote[668].end 5303.87721875
transcript.pyannote[669].speaker SPEAKER_10
transcript.pyannote[669].start 5304.13034375
transcript.pyannote[669].end 5305.02471875
transcript.pyannote[670].speaker SPEAKER_10
transcript.pyannote[670].start 5305.36221875
transcript.pyannote[670].end 5306.08784375
transcript.pyannote[671].speaker SPEAKER_15
transcript.pyannote[671].start 5306.40846875
transcript.pyannote[671].end 5306.74596875
transcript.pyannote[672].speaker SPEAKER_10
transcript.pyannote[672].start 5307.16784375
transcript.pyannote[672].end 5314.50846875
transcript.pyannote[673].speaker SPEAKER_10
transcript.pyannote[673].start 5314.96409375
transcript.pyannote[673].end 5316.93846875
transcript.pyannote[674].speaker SPEAKER_10
transcript.pyannote[674].start 5317.37721875
transcript.pyannote[674].end 5318.33909375
transcript.pyannote[675].speaker SPEAKER_10
transcript.pyannote[675].start 5318.81159375
transcript.pyannote[675].end 5320.17846875
transcript.pyannote[676].speaker SPEAKER_10
transcript.pyannote[676].start 5320.80284375
transcript.pyannote[676].end 5323.55346875
transcript.pyannote[677].speaker SPEAKER_14
transcript.pyannote[677].start 5324.36346875
transcript.pyannote[677].end 5324.80221875
transcript.pyannote[678].speaker SPEAKER_10
transcript.pyannote[678].start 5324.80221875
transcript.pyannote[678].end 5329.51034375
transcript.pyannote[679].speaker SPEAKER_14
transcript.pyannote[679].start 5327.35034375
transcript.pyannote[679].end 5327.50221875
transcript.pyannote[680].speaker SPEAKER_10
transcript.pyannote[680].start 5330.15159375
transcript.pyannote[680].end 5331.36659375
transcript.pyannote[681].speaker SPEAKER_06
transcript.pyannote[681].start 5332.39596875
transcript.pyannote[681].end 5333.20596875
transcript.pyannote[682].speaker SPEAKER_10
transcript.pyannote[682].start 5333.20596875
transcript.pyannote[682].end 5336.58096875
transcript.pyannote[683].speaker SPEAKER_10
transcript.pyannote[683].start 5337.05346875
transcript.pyannote[683].end 5338.52159375
transcript.pyannote[684].speaker SPEAKER_10
transcript.pyannote[684].start 5340.36096875
transcript.pyannote[684].end 5341.10346875
transcript.pyannote[685].speaker SPEAKER_10
transcript.pyannote[685].start 5341.28909375
transcript.pyannote[685].end 5343.73596875
transcript.pyannote[686].speaker SPEAKER_10
transcript.pyannote[686].start 5343.83721875
transcript.pyannote[686].end 5344.46159375
transcript.pyannote[687].speaker SPEAKER_10
transcript.pyannote[687].start 5345.40659375
transcript.pyannote[687].end 5345.42346875
transcript.pyannote[688].speaker SPEAKER_06
transcript.pyannote[688].start 5345.42346875
transcript.pyannote[688].end 5345.84534375
transcript.pyannote[689].speaker SPEAKER_10
transcript.pyannote[689].start 5345.84534375
transcript.pyannote[689].end 5346.03096875
transcript.pyannote[690].speaker SPEAKER_10
transcript.pyannote[690].start 5346.31784375
transcript.pyannote[690].end 5346.99284375
transcript.pyannote[691].speaker SPEAKER_10
transcript.pyannote[691].start 5348.49471875
transcript.pyannote[691].end 5348.89971875
transcript.pyannote[692].speaker SPEAKER_10
transcript.pyannote[692].start 5349.55784375
transcript.pyannote[692].end 5352.76409375
transcript.pyannote[693].speaker SPEAKER_10
transcript.pyannote[693].start 5352.89909375
transcript.pyannote[693].end 5354.35034375
transcript.pyannote[694].speaker SPEAKER_10
transcript.pyannote[694].start 5354.50221875
transcript.pyannote[694].end 5359.96971875
transcript.pyannote[695].speaker SPEAKER_10
transcript.pyannote[695].start 5360.45909375
transcript.pyannote[695].end 5361.26909375
transcript.pyannote[696].speaker SPEAKER_10
transcript.pyannote[696].start 5361.64034375
transcript.pyannote[696].end 5366.82096875
transcript.pyannote[697].speaker SPEAKER_10
transcript.pyannote[697].start 5367.00659375
transcript.pyannote[697].end 5370.19596875
transcript.pyannote[698].speaker SPEAKER_10
transcript.pyannote[698].start 5370.78659375
transcript.pyannote[698].end 5372.33909375
transcript.pyannote[699].speaker SPEAKER_10
transcript.pyannote[699].start 5372.94659375
transcript.pyannote[699].end 5386.75034375
transcript.pyannote[700].speaker SPEAKER_10
transcript.pyannote[700].start 5388.06659375
transcript.pyannote[700].end 5389.01159375
transcript.pyannote[701].speaker SPEAKER_10
transcript.pyannote[701].start 5389.80471875
transcript.pyannote[701].end 5394.19221875
transcript.pyannote[702].speaker SPEAKER_15
transcript.pyannote[702].start 5394.19221875
transcript.pyannote[702].end 5394.56346875
transcript.pyannote[703].speaker SPEAKER_10
transcript.pyannote[703].start 5394.34409375
transcript.pyannote[703].end 5403.67596875
transcript.pyannote[704].speaker SPEAKER_14
transcript.pyannote[704].start 5401.51596875
transcript.pyannote[704].end 5412.58596875
transcript.pyannote[705].speaker SPEAKER_14
transcript.pyannote[705].start 5412.90659375
transcript.pyannote[705].end 5415.31971875
transcript.pyannote[706].speaker SPEAKER_10
transcript.pyannote[706].start 5413.58159375
transcript.pyannote[706].end 5415.87659375
transcript.pyannote[707].speaker SPEAKER_10
transcript.pyannote[707].start 5416.33221875
transcript.pyannote[707].end 5424.02721875
transcript.pyannote[708].speaker SPEAKER_06
transcript.pyannote[708].start 5421.95159375
transcript.pyannote[708].end 5422.79534375
transcript.pyannote[709].speaker SPEAKER_06
transcript.pyannote[709].start 5422.81221875
transcript.pyannote[709].end 5423.40284375
transcript.pyannote[710].speaker SPEAKER_06
transcript.pyannote[710].start 5424.02721875
transcript.pyannote[710].end 5424.88784375
transcript.pyannote[711].speaker SPEAKER_10
transcript.pyannote[711].start 5424.14534375
transcript.pyannote[711].end 5424.90471875
transcript.pyannote[712].speaker SPEAKER_06
transcript.pyannote[712].start 5424.90471875
transcript.pyannote[712].end 5437.71284375
transcript.pyannote[713].speaker SPEAKER_06
transcript.pyannote[713].start 5438.43846875
transcript.pyannote[713].end 5439.97409375
transcript.pyannote[714].speaker SPEAKER_10
transcript.pyannote[714].start 5439.97409375
transcript.pyannote[714].end 5445.50909375
transcript.pyannote[715].speaker SPEAKER_15
transcript.pyannote[715].start 5445.69471875
transcript.pyannote[715].end 5446.04909375
transcript.pyannote[716].speaker SPEAKER_10
transcript.pyannote[716].start 5445.86346875
transcript.pyannote[716].end 5464.35846875
transcript.pyannote[717].speaker SPEAKER_10
transcript.pyannote[717].start 5464.69596875
transcript.pyannote[717].end 5466.06284375
transcript.pyannote[718].speaker SPEAKER_10
transcript.pyannote[718].start 5466.16409375
transcript.pyannote[718].end 5467.02471875
transcript.pyannote[719].speaker SPEAKER_10
transcript.pyannote[719].start 5467.31159375
transcript.pyannote[719].end 5468.52659375
transcript.pyannote[720].speaker SPEAKER_10
transcript.pyannote[720].start 5468.76284375
transcript.pyannote[720].end 5471.02409375
transcript.pyannote[721].speaker SPEAKER_06
transcript.pyannote[721].start 5471.02409375
transcript.pyannote[721].end 5471.83409375
transcript.pyannote[722].speaker SPEAKER_06
transcript.pyannote[722].start 5472.03659375
transcript.pyannote[722].end 5472.72846875
transcript.pyannote[723].speaker SPEAKER_06
transcript.pyannote[723].start 5473.26846875
transcript.pyannote[723].end 5479.96784375
transcript.pyannote[724].speaker SPEAKER_10
transcript.pyannote[724].start 5479.96784375
transcript.pyannote[724].end 5491.72971875
transcript.pyannote[725].speaker SPEAKER_10
transcript.pyannote[725].start 5491.99971875
transcript.pyannote[725].end 5494.26096875
transcript.pyannote[726].speaker SPEAKER_10
transcript.pyannote[726].start 5494.42971875
transcript.pyannote[726].end 5497.50096875
transcript.pyannote[727].speaker SPEAKER_10
transcript.pyannote[727].start 5498.07471875
transcript.pyannote[727].end 5504.85846875
transcript.pyannote[728].speaker SPEAKER_10
transcript.pyannote[728].start 5505.46596875
transcript.pyannote[728].end 5506.00596875
transcript.pyannote[729].speaker SPEAKER_10
transcript.pyannote[729].start 5506.56284375
transcript.pyannote[729].end 5510.12346875
transcript.pyannote[730].speaker SPEAKER_06
transcript.pyannote[730].start 5506.71471875
transcript.pyannote[730].end 5506.81596875
transcript.pyannote[731].speaker SPEAKER_06
transcript.pyannote[731].start 5506.83284375
transcript.pyannote[731].end 5506.98471875
transcript.pyannote[732].speaker SPEAKER_10
transcript.pyannote[732].start 5510.44409375
transcript.pyannote[732].end 5510.49471875
transcript.pyannote[733].speaker SPEAKER_06
transcript.pyannote[733].start 5510.49471875
transcript.pyannote[733].end 5510.71409375
transcript.pyannote[734].speaker SPEAKER_10
transcript.pyannote[734].start 5511.54096875
transcript.pyannote[734].end 5511.74346875
transcript.pyannote[735].speaker SPEAKER_10
transcript.pyannote[735].start 5512.08096875
transcript.pyannote[735].end 5514.79784375
transcript.pyannote[736].speaker SPEAKER_10
transcript.pyannote[736].start 5515.38846875
transcript.pyannote[736].end 5519.48909375
transcript.pyannote[737].speaker SPEAKER_10
transcript.pyannote[737].start 5520.18096875
transcript.pyannote[737].end 5525.63159375
transcript.pyannote[738].speaker SPEAKER_10
transcript.pyannote[738].start 5526.37409375
transcript.pyannote[738].end 5533.02284375
transcript.pyannote[739].speaker SPEAKER_06
transcript.pyannote[739].start 5533.02284375
transcript.pyannote[739].end 5533.44471875
transcript.pyannote[740].speaker SPEAKER_06
transcript.pyannote[740].start 5533.81596875
transcript.pyannote[740].end 5556.07409375
transcript.pyannote[741].speaker SPEAKER_10
transcript.pyannote[741].start 5556.07409375
transcript.pyannote[741].end 5565.55784375
transcript.pyannote[742].speaker SPEAKER_06
transcript.pyannote[742].start 5556.09096875
transcript.pyannote[742].end 5556.51284375
transcript.pyannote[743].speaker SPEAKER_10
transcript.pyannote[743].start 5565.62534375
transcript.pyannote[743].end 5569.27034375
transcript.pyannote[744].speaker SPEAKER_10
transcript.pyannote[744].start 5569.86096875
transcript.pyannote[744].end 5571.95346875
transcript.pyannote[745].speaker SPEAKER_10
transcript.pyannote[745].start 5572.42596875
transcript.pyannote[745].end 5573.30346875
transcript.pyannote[746].speaker SPEAKER_14
transcript.pyannote[746].start 5576.08784375
transcript.pyannote[746].end 5590.97159375
transcript.pyannote[747].speaker SPEAKER_10
transcript.pyannote[747].start 5590.97159375
transcript.pyannote[747].end 5592.42284375
transcript.pyannote[748].speaker SPEAKER_10
transcript.pyannote[748].start 5593.26659375
transcript.pyannote[748].end 5594.31284375
transcript.pyannote[749].speaker SPEAKER_10
transcript.pyannote[749].start 5594.66721875
transcript.pyannote[749].end 5597.06346875
transcript.pyannote[750].speaker SPEAKER_10
transcript.pyannote[750].start 5597.60346875
transcript.pyannote[750].end 5606.96909375
transcript.pyannote[751].speaker SPEAKER_10
transcript.pyannote[751].start 5607.57659375
transcript.pyannote[751].end 5608.42034375
transcript.pyannote[752].speaker SPEAKER_10
transcript.pyannote[752].start 5608.82534375
transcript.pyannote[752].end 5609.09534375
transcript.pyannote[753].speaker SPEAKER_10
transcript.pyannote[753].start 5609.33159375
transcript.pyannote[753].end 5610.74909375
transcript.pyannote[754].speaker SPEAKER_10
transcript.pyannote[754].start 5611.27221875
transcript.pyannote[754].end 5613.33096875
transcript.pyannote[755].speaker SPEAKER_10
transcript.pyannote[755].start 5613.44909375
transcript.pyannote[755].end 5614.51221875
transcript.pyannote[756].speaker SPEAKER_10
transcript.pyannote[756].start 5614.76534375
transcript.pyannote[756].end 5628.21471875
transcript.pyannote[757].speaker SPEAKER_10
transcript.pyannote[757].start 5628.63659375
transcript.pyannote[757].end 5634.93096875
transcript.pyannote[758].speaker SPEAKER_10
transcript.pyannote[758].start 5634.99846875
transcript.pyannote[758].end 5638.99784375
transcript.pyannote[759].speaker SPEAKER_10
transcript.pyannote[759].start 5639.28471875
transcript.pyannote[759].end 5640.38159375
transcript.pyannote[760].speaker SPEAKER_10
transcript.pyannote[760].start 5640.70221875
transcript.pyannote[760].end 5644.58346875
transcript.pyannote[761].speaker SPEAKER_10
transcript.pyannote[761].start 5644.75221875
transcript.pyannote[761].end 5646.84471875
transcript.pyannote[762].speaker SPEAKER_10
transcript.pyannote[762].start 5647.19909375
transcript.pyannote[762].end 5667.16221875
transcript.pyannote[763].speaker SPEAKER_10
transcript.pyannote[763].start 5667.41534375
transcript.pyannote[763].end 5668.51221875
transcript.pyannote[764].speaker SPEAKER_10
transcript.pyannote[764].start 5668.74846875
transcript.pyannote[764].end 5669.06909375
transcript.pyannote[765].speaker SPEAKER_10
transcript.pyannote[765].start 5669.33909375
transcript.pyannote[765].end 5670.95909375
transcript.pyannote[766].speaker SPEAKER_10
transcript.pyannote[766].start 5671.21221875
transcript.pyannote[766].end 5674.26659375
transcript.pyannote[767].speaker SPEAKER_10
transcript.pyannote[767].start 5674.46909375
transcript.pyannote[767].end 5675.39721875
transcript.pyannote[768].speaker SPEAKER_10
transcript.pyannote[768].start 5675.53221875
transcript.pyannote[768].end 5677.18596875
transcript.pyannote[769].speaker SPEAKER_10
transcript.pyannote[769].start 5677.28721875
transcript.pyannote[769].end 5677.67534375
transcript.pyannote[770].speaker SPEAKER_10
transcript.pyannote[770].start 5677.79346875
transcript.pyannote[770].end 5678.53596875
transcript.pyannote[771].speaker SPEAKER_10
transcript.pyannote[771].start 5678.99159375
transcript.pyannote[771].end 5682.07971875
transcript.pyannote[772].speaker SPEAKER_10
transcript.pyannote[772].start 5682.46784375
transcript.pyannote[772].end 5685.40409375
transcript.pyannote[773].speaker SPEAKER_10
transcript.pyannote[773].start 5685.64034375
transcript.pyannote[773].end 5706.88596875
transcript.pyannote[774].speaker SPEAKER_10
transcript.pyannote[774].start 5707.34159375
transcript.pyannote[774].end 5709.07971875
transcript.pyannote[775].speaker SPEAKER_10
transcript.pyannote[775].start 5709.72096875
transcript.pyannote[775].end 5722.59659375
transcript.pyannote[776].speaker SPEAKER_10
transcript.pyannote[776].start 5722.90034375
transcript.pyannote[776].end 5723.89596875
transcript.pyannote[777].speaker SPEAKER_10
transcript.pyannote[777].start 5724.60471875
transcript.pyannote[777].end 5729.48159375
transcript.pyannote[778].speaker SPEAKER_10
transcript.pyannote[778].start 5729.88659375
transcript.pyannote[778].end 5732.26596875
transcript.pyannote[779].speaker SPEAKER_10
transcript.pyannote[779].start 5732.55284375
transcript.pyannote[779].end 5736.61971875
transcript.pyannote[780].speaker SPEAKER_10
transcript.pyannote[780].start 5737.26096875
transcript.pyannote[780].end 5738.15534375
transcript.pyannote[781].speaker SPEAKER_10
transcript.pyannote[781].start 5738.61096875
transcript.pyannote[781].end 5740.93971875
transcript.pyannote[782].speaker SPEAKER_10
transcript.pyannote[782].start 5741.53034375
transcript.pyannote[782].end 5744.82096875
transcript.pyannote[783].speaker SPEAKER_10
transcript.pyannote[783].start 5745.17534375
transcript.pyannote[783].end 5746.25534375
transcript.pyannote[784].speaker SPEAKER_10
transcript.pyannote[784].start 5746.64346875
transcript.pyannote[784].end 5747.43659375
transcript.pyannote[785].speaker SPEAKER_10
transcript.pyannote[785].start 5747.58846875
transcript.pyannote[785].end 5748.85409375
transcript.pyannote[786].speaker SPEAKER_10
transcript.pyannote[786].start 5749.24221875
transcript.pyannote[786].end 5752.22909375
transcript.pyannote[787].speaker SPEAKER_10
transcript.pyannote[787].start 5752.68471875
transcript.pyannote[787].end 5753.95034375
transcript.pyannote[788].speaker SPEAKER_10
transcript.pyannote[788].start 5754.30471875
transcript.pyannote[788].end 5764.12596875
transcript.pyannote[789].speaker SPEAKER_10
transcript.pyannote[789].start 5764.69971875
transcript.pyannote[789].end 5765.27346875
transcript.pyannote[790].speaker SPEAKER_10
transcript.pyannote[790].start 5765.59409375
transcript.pyannote[790].end 5766.94409375
transcript.pyannote[791].speaker SPEAKER_10
transcript.pyannote[791].start 5767.31534375
transcript.pyannote[791].end 5768.00721875
transcript.pyannote[792].speaker SPEAKER_10
transcript.pyannote[792].start 5768.37846875
transcript.pyannote[792].end 5769.66096875
transcript.pyannote[793].speaker SPEAKER_10
transcript.pyannote[793].start 5770.06596875
transcript.pyannote[793].end 5771.04471875
transcript.pyannote[794].speaker SPEAKER_10
transcript.pyannote[794].start 5771.44971875
transcript.pyannote[794].end 5775.29721875
transcript.pyannote[795].speaker SPEAKER_14
transcript.pyannote[795].start 5774.90909375
transcript.pyannote[795].end 5822.56409375
transcript.pyannote[796].speaker SPEAKER_10
transcript.pyannote[796].start 5822.34471875
transcript.pyannote[796].end 5851.03221875
transcript.pyannote[797].speaker SPEAKER_14
transcript.pyannote[797].start 5826.17534375
transcript.pyannote[797].end 5828.92596875
transcript.pyannote[798].speaker SPEAKER_10
transcript.pyannote[798].start 5851.09971875
transcript.pyannote[798].end 5851.97721875
transcript.pyannote[799].speaker SPEAKER_10
transcript.pyannote[799].start 5852.88846875
transcript.pyannote[799].end 5853.79971875
transcript.pyannote[800].speaker SPEAKER_10
transcript.pyannote[800].start 5854.17096875
transcript.pyannote[800].end 5856.71909375
transcript.pyannote[801].speaker SPEAKER_10
transcript.pyannote[801].start 5857.19159375
transcript.pyannote[801].end 5859.01409375
transcript.pyannote[802].speaker SPEAKER_10
transcript.pyannote[802].start 5859.11534375
transcript.pyannote[802].end 5859.82409375
transcript.pyannote[803].speaker SPEAKER_10
transcript.pyannote[803].start 5859.97596875
transcript.pyannote[803].end 5862.35534375
transcript.pyannote[804].speaker SPEAKER_10
transcript.pyannote[804].start 5862.59159375
transcript.pyannote[804].end 5863.19909375
transcript.pyannote[805].speaker SPEAKER_10
transcript.pyannote[805].start 5863.60409375
transcript.pyannote[805].end 5869.52721875
transcript.pyannote[806].speaker SPEAKER_10
transcript.pyannote[806].start 5869.88159375
transcript.pyannote[806].end 5872.64909375
transcript.pyannote[807].speaker SPEAKER_10
transcript.pyannote[807].start 5873.72909375
transcript.pyannote[807].end 5874.26909375
transcript.pyannote[808].speaker SPEAKER_14
transcript.pyannote[808].start 5874.79221875
transcript.pyannote[808].end 5876.74971875
transcript.pyannote[809].speaker SPEAKER_10
transcript.pyannote[809].start 5875.06221875
transcript.pyannote[809].end 5875.28159375
transcript.pyannote[810].speaker SPEAKER_10
transcript.pyannote[810].start 5875.77096875
transcript.pyannote[810].end 5882.82471875
transcript.pyannote[811].speaker SPEAKER_10
transcript.pyannote[811].start 5883.44909375
transcript.pyannote[811].end 5895.14346875
transcript.pyannote[812].speaker SPEAKER_10
transcript.pyannote[812].start 5895.51471875
transcript.pyannote[812].end 5896.64534375
transcript.pyannote[813].speaker SPEAKER_10
transcript.pyannote[813].start 5897.21909375
transcript.pyannote[813].end 5902.36596875
transcript.pyannote[814].speaker SPEAKER_10
transcript.pyannote[814].start 5903.14221875
transcript.pyannote[814].end 5912.38971875
transcript.pyannote[815].speaker SPEAKER_10
transcript.pyannote[815].start 5912.74409375
transcript.pyannote[815].end 5925.36659375
transcript.pyannote[816].speaker SPEAKER_10
transcript.pyannote[816].start 5925.75471875
transcript.pyannote[816].end 5927.10471875
transcript.pyannote[817].speaker SPEAKER_10
transcript.pyannote[817].start 5927.34096875
transcript.pyannote[817].end 5927.96534375
transcript.pyannote[818].speaker SPEAKER_10
transcript.pyannote[818].start 5928.18471875
transcript.pyannote[818].end 5933.73659375
transcript.pyannote[819].speaker SPEAKER_10
transcript.pyannote[819].start 5934.49596875
transcript.pyannote[819].end 5935.89659375
transcript.pyannote[820].speaker SPEAKER_10
transcript.pyannote[820].start 5936.28471875
transcript.pyannote[820].end 5944.14846875
transcript.pyannote[821].speaker SPEAKER_10
transcript.pyannote[821].start 5944.33409375
transcript.pyannote[821].end 5954.13846875
transcript.pyannote[822].speaker SPEAKER_10
transcript.pyannote[822].start 5954.37471875
transcript.pyannote[822].end 5956.01159375
transcript.pyannote[823].speaker SPEAKER_10
transcript.pyannote[823].start 5956.02846875
transcript.pyannote[823].end 5956.04534375
transcript.pyannote[824].speaker SPEAKER_10
transcript.pyannote[824].start 5956.06221875
transcript.pyannote[824].end 5960.02784375
transcript.pyannote[825].speaker SPEAKER_06
transcript.pyannote[825].start 5960.43284375
transcript.pyannote[825].end 5960.93909375
transcript.pyannote[826].speaker SPEAKER_10
transcript.pyannote[826].start 5960.93909375
transcript.pyannote[826].end 5960.95596875
transcript.pyannote[827].speaker SPEAKER_06
transcript.pyannote[827].start 5960.95596875
transcript.pyannote[827].end 5961.27659375
transcript.pyannote[828].speaker SPEAKER_10
transcript.pyannote[828].start 5961.27659375
transcript.pyannote[828].end 5961.34409375
transcript.pyannote[829].speaker SPEAKER_06
transcript.pyannote[829].start 5961.34409375
transcript.pyannote[829].end 5961.63096875
transcript.pyannote[830].speaker SPEAKER_05
transcript.pyannote[830].start 5961.90096875
transcript.pyannote[830].end 5962.49159375
transcript.pyannote[831].speaker SPEAKER_05
transcript.pyannote[831].start 5963.82471875
transcript.pyannote[831].end 5966.55846875
transcript.pyannote[832].speaker SPEAKER_05
transcript.pyannote[832].start 5967.28409375
transcript.pyannote[832].end 5969.42721875
transcript.pyannote[833].speaker SPEAKER_11
transcript.pyannote[833].start 5980.88534375
transcript.pyannote[833].end 5985.44159375
transcript.pyannote[834].speaker SPEAKER_11
transcript.pyannote[834].start 5985.93096875
transcript.pyannote[834].end 5988.47909375
transcript.pyannote[835].speaker SPEAKER_11
transcript.pyannote[835].start 5992.24221875
transcript.pyannote[835].end 5992.91721875
transcript.pyannote[836].speaker SPEAKER_11
transcript.pyannote[836].start 5992.96784375
transcript.pyannote[836].end 5993.08596875
transcript.pyannote[837].speaker SPEAKER_11
transcript.pyannote[837].start 5993.17034375
transcript.pyannote[837].end 6027.49409375
transcript.pyannote[838].speaker SPEAKER_11
transcript.pyannote[838].start 6027.51096875
transcript.pyannote[838].end 6047.03534375
transcript.pyannote[839].speaker SPEAKER_14
transcript.pyannote[839].start 6047.03534375
transcript.pyannote[839].end 6073.64721875
transcript.pyannote[840].speaker SPEAKER_14
transcript.pyannote[840].start 6073.73159375
transcript.pyannote[840].end 6073.74846875
transcript.pyannote[841].speaker SPEAKER_11
transcript.pyannote[841].start 6073.74846875
transcript.pyannote[841].end 6075.31784375
transcript.pyannote[842].speaker SPEAKER_11
transcript.pyannote[842].start 6075.58784375
transcript.pyannote[842].end 6086.89409375
transcript.pyannote[843].speaker SPEAKER_14
transcript.pyannote[843].start 6079.14846875
transcript.pyannote[843].end 6079.95846875
transcript.pyannote[844].speaker SPEAKER_06
transcript.pyannote[844].start 6087.46784375
transcript.pyannote[844].end 6090.92721875
transcript.pyannote[845].speaker SPEAKER_11
transcript.pyannote[845].start 6090.92721875
transcript.pyannote[845].end 6092.37846875
transcript.pyannote[846].speaker SPEAKER_11
transcript.pyannote[846].start 6092.46284375
transcript.pyannote[846].end 6110.11409375
transcript.pyannote[847].speaker SPEAKER_11
transcript.pyannote[847].start 6110.56971875
transcript.pyannote[847].end 6116.50971875
transcript.pyannote[848].speaker SPEAKER_06
transcript.pyannote[848].start 6116.81346875
transcript.pyannote[848].end 6134.86971875
transcript.pyannote[849].speaker SPEAKER_11
transcript.pyannote[849].start 6122.34846875
transcript.pyannote[849].end 6122.77034375
transcript.pyannote[850].speaker SPEAKER_00
transcript.pyannote[850].start 6122.77034375
transcript.pyannote[850].end 6122.78721875
transcript.pyannote[851].speaker SPEAKER_11
transcript.pyannote[851].start 6134.86971875
transcript.pyannote[851].end 6135.88221875
transcript.pyannote[852].speaker SPEAKER_06
transcript.pyannote[852].start 6135.88221875
transcript.pyannote[852].end 6136.16909375
transcript.pyannote[853].speaker SPEAKER_11
transcript.pyannote[853].start 6136.74284375
transcript.pyannote[853].end 6143.57721875
transcript.pyannote[854].speaker SPEAKER_11
transcript.pyannote[854].start 6143.77971875
transcript.pyannote[854].end 6145.83846875
transcript.pyannote[855].speaker SPEAKER_06
transcript.pyannote[855].start 6146.02409375
transcript.pyannote[855].end 6149.21346875
transcript.pyannote[856].speaker SPEAKER_06
transcript.pyannote[856].start 6149.48346875
transcript.pyannote[856].end 6149.65221875
transcript.pyannote[857].speaker SPEAKER_11
transcript.pyannote[857].start 6149.65221875
transcript.pyannote[857].end 6149.90534375
transcript.pyannote[858].speaker SPEAKER_06
transcript.pyannote[858].start 6149.90534375
transcript.pyannote[858].end 6160.73909375
transcript.pyannote[859].speaker SPEAKER_15
transcript.pyannote[859].start 6159.92909375
transcript.pyannote[859].end 6160.95846875
transcript.pyannote[860].speaker SPEAKER_06
transcript.pyannote[860].start 6160.95846875
transcript.pyannote[860].end 6177.96846875
transcript.pyannote[861].speaker SPEAKER_15
transcript.pyannote[861].start 6165.31221875
transcript.pyannote[861].end 6165.97034375
transcript.pyannote[862].speaker SPEAKER_11
transcript.pyannote[862].start 6178.98096875
transcript.pyannote[862].end 6223.76721875
transcript.pyannote[863].speaker SPEAKER_14
transcript.pyannote[863].start 6223.76721875
transcript.pyannote[863].end 6223.80096875
transcript.pyannote[864].speaker SPEAKER_14
transcript.pyannote[864].start 6224.56034375
transcript.pyannote[864].end 6257.60159375
transcript.pyannote[865].speaker SPEAKER_11
transcript.pyannote[865].start 6257.60159375
transcript.pyannote[865].end 6264.97596875
transcript.pyannote[866].speaker SPEAKER_11
transcript.pyannote[866].start 6266.14034375
transcript.pyannote[866].end 6269.76846875
transcript.pyannote[867].speaker SPEAKER_06
transcript.pyannote[867].start 6269.76846875
transcript.pyannote[867].end 6270.84846875
transcript.pyannote[868].speaker SPEAKER_11
transcript.pyannote[868].start 6270.84846875
transcript.pyannote[868].end 6275.86034375
transcript.pyannote[869].speaker SPEAKER_11
transcript.pyannote[869].start 6276.50159375
transcript.pyannote[869].end 6278.13846875
transcript.pyannote[870].speaker SPEAKER_11
transcript.pyannote[870].start 6278.74596875
transcript.pyannote[870].end 6290.74409375
transcript.pyannote[871].speaker SPEAKER_14
transcript.pyannote[871].start 6282.91409375
transcript.pyannote[871].end 6284.07846875
transcript.pyannote[872].speaker SPEAKER_06
transcript.pyannote[872].start 6291.18284375
transcript.pyannote[872].end 6291.21659375
transcript.pyannote[873].speaker SPEAKER_11
transcript.pyannote[873].start 6291.21659375
transcript.pyannote[873].end 6291.38534375
transcript.pyannote[874].speaker SPEAKER_06
transcript.pyannote[874].start 6291.38534375
transcript.pyannote[874].end 6291.43596875
transcript.pyannote[875].speaker SPEAKER_11
transcript.pyannote[875].start 6291.43596875
transcript.pyannote[875].end 6292.38096875
transcript.pyannote[876].speaker SPEAKER_06
transcript.pyannote[876].start 6291.45284375
transcript.pyannote[876].end 6292.29659375
transcript.pyannote[877].speaker SPEAKER_06
transcript.pyannote[877].start 6292.38096875
transcript.pyannote[877].end 6292.97159375
transcript.pyannote[878].speaker SPEAKER_11
transcript.pyannote[878].start 6292.97159375
transcript.pyannote[878].end 6293.24159375
transcript.pyannote[879].speaker SPEAKER_06
transcript.pyannote[879].start 6293.24159375
transcript.pyannote[879].end 6293.39346875
transcript.pyannote[880].speaker SPEAKER_11
transcript.pyannote[880].start 6293.39346875
transcript.pyannote[880].end 6298.57409375
transcript.pyannote[881].speaker SPEAKER_11
transcript.pyannote[881].start 6298.81034375
transcript.pyannote[881].end 6359.03721875
transcript.pyannote[882].speaker SPEAKER_06
transcript.pyannote[882].start 6359.83034375
transcript.pyannote[882].end 6368.82471875
transcript.pyannote[883].speaker SPEAKER_18
transcript.pyannote[883].start 6367.37346875
transcript.pyannote[883].end 6367.40721875
transcript.pyannote[884].speaker SPEAKER_11
transcript.pyannote[884].start 6367.40721875
transcript.pyannote[884].end 6367.82909375
transcript.pyannote[885].speaker SPEAKER_06
transcript.pyannote[885].start 6369.24659375
transcript.pyannote[885].end 6371.37284375
transcript.pyannote[886].speaker SPEAKER_11
transcript.pyannote[886].start 6371.37284375
transcript.pyannote[886].end 6371.38971875
transcript.pyannote[887].speaker SPEAKER_06
transcript.pyannote[887].start 6371.38971875
transcript.pyannote[887].end 6371.60909375
transcript.pyannote[888].speaker SPEAKER_11
transcript.pyannote[888].start 6371.60909375
transcript.pyannote[888].end 6371.62596875
transcript.pyannote[889].speaker SPEAKER_06
transcript.pyannote[889].start 6371.62596875
transcript.pyannote[889].end 6371.91284375
transcript.pyannote[890].speaker SPEAKER_11
transcript.pyannote[890].start 6371.67659375
transcript.pyannote[890].end 6374.30909375
transcript.pyannote[891].speaker SPEAKER_06
transcript.pyannote[891].start 6373.36409375
transcript.pyannote[891].end 6395.03159375
transcript.pyannote[892].speaker SPEAKER_06
transcript.pyannote[892].start 6395.38596875
transcript.pyannote[892].end 6397.71471875
transcript.pyannote[893].speaker SPEAKER_14
transcript.pyannote[893].start 6395.57159375
transcript.pyannote[893].end 6396.06096875
transcript.pyannote[894].speaker SPEAKER_14
transcript.pyannote[894].start 6397.73159375
transcript.pyannote[894].end 6399.95909375
transcript.pyannote[895].speaker SPEAKER_07
transcript.pyannote[895].start 6401.29221875
transcript.pyannote[895].end 6440.49284375
transcript.pyannote[896].speaker SPEAKER_11
transcript.pyannote[896].start 6440.49284375
transcript.pyannote[896].end 6464.05034375
transcript.pyannote[897].speaker SPEAKER_11
transcript.pyannote[897].start 6464.15159375
transcript.pyannote[897].end 6474.74909375
transcript.pyannote[898].speaker SPEAKER_11
transcript.pyannote[898].start 6474.93471875
transcript.pyannote[898].end 6485.98784375
transcript.pyannote[899].speaker SPEAKER_14
transcript.pyannote[899].start 6484.51971875
transcript.pyannote[899].end 6489.78471875
transcript.pyannote[900].speaker SPEAKER_11
transcript.pyannote[900].start 6490.54409375
transcript.pyannote[900].end 6524.02409375
transcript.pyannote[901].speaker SPEAKER_14
transcript.pyannote[901].start 6524.02409375
transcript.pyannote[901].end 6532.96784375
transcript.pyannote[902].speaker SPEAKER_11
transcript.pyannote[902].start 6532.96784375
transcript.pyannote[902].end 6535.19534375
transcript.pyannote[903].speaker SPEAKER_14
transcript.pyannote[903].start 6534.60471875
transcript.pyannote[903].end 6545.43846875
transcript.pyannote[904].speaker SPEAKER_11
transcript.pyannote[904].start 6545.43846875
transcript.pyannote[904].end 6545.48909375
transcript.pyannote[905].speaker SPEAKER_14
transcript.pyannote[905].start 6545.48909375
transcript.pyannote[905].end 6545.50596875
transcript.pyannote[906].speaker SPEAKER_11
transcript.pyannote[906].start 6545.50596875
transcript.pyannote[906].end 6545.52284375
transcript.pyannote[907].speaker SPEAKER_11
transcript.pyannote[907].start 6545.70846875
transcript.pyannote[907].end 6561.75659375
transcript.pyannote[908].speaker SPEAKER_15
transcript.pyannote[908].start 6561.38534375
transcript.pyannote[908].end 6562.07721875
transcript.pyannote[909].speaker SPEAKER_11
transcript.pyannote[909].start 6562.02659375
transcript.pyannote[909].end 6586.96784375
transcript.pyannote[910].speaker SPEAKER_15
transcript.pyannote[910].start 6586.96784375
transcript.pyannote[910].end 6587.47409375
transcript.pyannote[911].speaker SPEAKER_11
transcript.pyannote[911].start 6587.30534375
transcript.pyannote[911].end 6591.99659375
transcript.pyannote[912].speaker SPEAKER_11
transcript.pyannote[912].start 6592.16534375
transcript.pyannote[912].end 6594.83159375
transcript.pyannote[913].speaker SPEAKER_14
transcript.pyannote[913].start 6594.83159375
transcript.pyannote[913].end 6594.86534375
transcript.pyannote[914].speaker SPEAKER_11
transcript.pyannote[914].start 6595.35471875
transcript.pyannote[914].end 6595.38846875
transcript.pyannote[915].speaker SPEAKER_14
transcript.pyannote[915].start 6595.38846875
transcript.pyannote[915].end 6665.28471875
transcript.pyannote[916].speaker SPEAKER_11
transcript.pyannote[916].start 6665.28471875
transcript.pyannote[916].end 6665.31846875
transcript.pyannote[917].speaker SPEAKER_14
transcript.pyannote[917].start 6665.31846875
transcript.pyannote[917].end 6665.33534375
transcript.pyannote[918].speaker SPEAKER_11
transcript.pyannote[918].start 6665.65596875
transcript.pyannote[918].end 6673.41846875
transcript.pyannote[919].speaker SPEAKER_05
transcript.pyannote[919].start 6676.18596875
transcript.pyannote[919].end 6678.66659375
transcript.pyannote[920].speaker SPEAKER_05
transcript.pyannote[920].start 6679.42596875
transcript.pyannote[920].end 6682.17659375
transcript.pyannote[921].speaker SPEAKER_22
transcript.pyannote[921].start 6696.19971875
transcript.pyannote[921].end 6700.51971875
transcript.pyannote[922].speaker SPEAKER_05
transcript.pyannote[922].start 6700.62096875
transcript.pyannote[922].end 6702.25784375
transcript.pyannote[923].speaker SPEAKER_22
transcript.pyannote[923].start 6708.40034375
transcript.pyannote[923].end 6709.12596875
transcript.pyannote[924].speaker SPEAKER_22
transcript.pyannote[924].start 6709.49721875
transcript.pyannote[924].end 6710.71221875
transcript.pyannote[925].speaker SPEAKER_22
transcript.pyannote[925].start 6711.26909375
transcript.pyannote[925].end 6712.41659375
transcript.pyannote[926].speaker SPEAKER_22
transcript.pyannote[926].start 6713.14221875
transcript.pyannote[926].end 6713.86784375
transcript.pyannote[927].speaker SPEAKER_22
transcript.pyannote[927].start 6714.22221875
transcript.pyannote[927].end 6717.37784375
transcript.pyannote[928].speaker SPEAKER_22
transcript.pyannote[928].start 6717.52971875
transcript.pyannote[928].end 6719.74034375
transcript.pyannote[929].speaker SPEAKER_22
transcript.pyannote[929].start 6720.31409375
transcript.pyannote[929].end 6728.34659375
transcript.pyannote[930].speaker SPEAKER_22
transcript.pyannote[930].start 6728.86971875
transcript.pyannote[930].end 6729.69659375
transcript.pyannote[931].speaker SPEAKER_22
transcript.pyannote[931].start 6730.57409375
transcript.pyannote[931].end 6735.85596875
transcript.pyannote[932].speaker SPEAKER_03
transcript.pyannote[932].start 6737.56034375
transcript.pyannote[932].end 6737.57721875
transcript.pyannote[933].speaker SPEAKER_22
transcript.pyannote[933].start 6737.57721875
transcript.pyannote[933].end 6742.89284375
transcript.pyannote[934].speaker SPEAKER_22
transcript.pyannote[934].start 6743.66909375
transcript.pyannote[934].end 6746.62221875
transcript.pyannote[935].speaker SPEAKER_14
transcript.pyannote[935].start 6747.60096875
transcript.pyannote[935].end 6749.27159375
transcript.pyannote[936].speaker SPEAKER_14
transcript.pyannote[936].start 6749.65971875
transcript.pyannote[936].end 6751.92096875
transcript.pyannote[937].speaker SPEAKER_22
transcript.pyannote[937].start 6751.92096875
transcript.pyannote[937].end 6752.95034375
transcript.pyannote[938].speaker SPEAKER_14
transcript.pyannote[938].start 6751.93784375
transcript.pyannote[938].end 6754.35096875
transcript.pyannote[939].speaker SPEAKER_22
transcript.pyannote[939].start 6754.35096875
transcript.pyannote[939].end 6763.44659375
transcript.pyannote[940].speaker SPEAKER_14
transcript.pyannote[940].start 6754.94159375
transcript.pyannote[940].end 6756.10596875
transcript.pyannote[941].speaker SPEAKER_22
transcript.pyannote[941].start 6763.66596875
transcript.pyannote[941].end 6764.64471875
transcript.pyannote[942].speaker SPEAKER_22
transcript.pyannote[942].start 6765.16784375
transcript.pyannote[942].end 6769.90971875
transcript.pyannote[943].speaker SPEAKER_22
transcript.pyannote[943].start 6770.68596875
transcript.pyannote[943].end 6772.59284375
transcript.pyannote[944].speaker SPEAKER_22
transcript.pyannote[944].start 6773.38596875
transcript.pyannote[944].end 6777.57096875
transcript.pyannote[945].speaker SPEAKER_22
transcript.pyannote[945].start 6778.17846875
transcript.pyannote[945].end 6778.44846875
transcript.pyannote[946].speaker SPEAKER_22
transcript.pyannote[946].start 6779.02221875
transcript.pyannote[946].end 6782.85284375
transcript.pyannote[947].speaker SPEAKER_22
transcript.pyannote[947].start 6783.57846875
transcript.pyannote[947].end 6785.31659375
transcript.pyannote[948].speaker SPEAKER_22
transcript.pyannote[948].start 6786.36284375
transcript.pyannote[948].end 6786.83534375
transcript.pyannote[949].speaker SPEAKER_22
transcript.pyannote[949].start 6787.37534375
transcript.pyannote[949].end 6787.96596875
transcript.pyannote[950].speaker SPEAKER_14
transcript.pyannote[950].start 6787.96596875
transcript.pyannote[950].end 6788.60721875
transcript.pyannote[951].speaker SPEAKER_22
transcript.pyannote[951].start 6788.89409375
transcript.pyannote[951].end 6788.91096875
transcript.pyannote[952].speaker SPEAKER_14
transcript.pyannote[952].start 6788.91096875
transcript.pyannote[952].end 6790.85159375
transcript.pyannote[953].speaker SPEAKER_06
transcript.pyannote[953].start 6791.67846875
transcript.pyannote[953].end 6797.29784375
transcript.pyannote[954].speaker SPEAKER_15
transcript.pyannote[954].start 6797.41596875
transcript.pyannote[954].end 6797.83784375
transcript.pyannote[955].speaker SPEAKER_06
transcript.pyannote[955].start 6797.80409375
transcript.pyannote[955].end 6802.93409375
transcript.pyannote[956].speaker SPEAKER_15
transcript.pyannote[956].start 6802.93409375
transcript.pyannote[956].end 6803.40659375
transcript.pyannote[957].speaker SPEAKER_06
transcript.pyannote[957].start 6803.25471875
transcript.pyannote[957].end 6805.02659375
transcript.pyannote[958].speaker SPEAKER_22
transcript.pyannote[958].start 6803.40659375
transcript.pyannote[958].end 6803.42346875
transcript.pyannote[959].speaker SPEAKER_22
transcript.pyannote[959].start 6805.02659375
transcript.pyannote[959].end 6805.43159375
transcript.pyannote[960].speaker SPEAKER_06
transcript.pyannote[960].start 6805.43159375
transcript.pyannote[960].end 6805.46534375
transcript.pyannote[961].speaker SPEAKER_06
transcript.pyannote[961].start 6805.54971875
transcript.pyannote[961].end 6813.54846875
transcript.pyannote[962].speaker SPEAKER_06
transcript.pyannote[962].start 6813.85221875
transcript.pyannote[962].end 6821.07471875
transcript.pyannote[963].speaker SPEAKER_15
transcript.pyannote[963].start 6821.53034375
transcript.pyannote[963].end 6821.86784375
transcript.pyannote[964].speaker SPEAKER_06
transcript.pyannote[964].start 6821.86784375
transcript.pyannote[964].end 6834.69284375
transcript.pyannote[965].speaker SPEAKER_15
transcript.pyannote[965].start 6821.88471875
transcript.pyannote[965].end 6821.91846875
transcript.pyannote[966].speaker SPEAKER_15
transcript.pyannote[966].start 6834.74346875
transcript.pyannote[966].end 6835.30034375
transcript.pyannote[967].speaker SPEAKER_06
transcript.pyannote[967].start 6835.40159375
transcript.pyannote[967].end 6838.23659375
transcript.pyannote[968].speaker SPEAKER_06
transcript.pyannote[968].start 6838.55721875
transcript.pyannote[968].end 6839.36721875
transcript.pyannote[969].speaker SPEAKER_06
transcript.pyannote[969].start 6839.67096875
transcript.pyannote[969].end 6840.83534375
transcript.pyannote[970].speaker SPEAKER_06
transcript.pyannote[970].start 6841.08846875
transcript.pyannote[970].end 6846.91034375
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 6841.12221875
transcript.pyannote[971].end 6841.52721875
transcript.pyannote[972].speaker SPEAKER_06
transcript.pyannote[972].start 6847.11284375
transcript.pyannote[972].end 6848.95221875
transcript.pyannote[973].speaker SPEAKER_06
transcript.pyannote[973].start 6849.30659375
transcript.pyannote[973].end 6855.76971875
transcript.pyannote[974].speaker SPEAKER_06
transcript.pyannote[974].start 6855.88784375
transcript.pyannote[974].end 6865.45596875
transcript.pyannote[975].speaker SPEAKER_22
transcript.pyannote[975].start 6865.91159375
transcript.pyannote[975].end 6868.88159375
transcript.pyannote[976].speaker SPEAKER_22
transcript.pyannote[976].start 6869.20221875
transcript.pyannote[976].end 6872.10471875
transcript.pyannote[977].speaker SPEAKER_22
transcript.pyannote[977].start 6873.33659375
transcript.pyannote[977].end 6877.55534375
transcript.pyannote[978].speaker SPEAKER_22
transcript.pyannote[978].start 6878.09534375
transcript.pyannote[978].end 6880.12034375
transcript.pyannote[979].speaker SPEAKER_22
transcript.pyannote[979].start 6881.92596875
transcript.pyannote[979].end 6886.02659375
transcript.pyannote[980].speaker SPEAKER_22
transcript.pyannote[980].start 6886.09409375
transcript.pyannote[980].end 6887.41034375
transcript.pyannote[981].speaker SPEAKER_22
transcript.pyannote[981].start 6888.11909375
transcript.pyannote[981].end 6889.89096875
transcript.pyannote[982].speaker SPEAKER_06
transcript.pyannote[982].start 6890.98784375
transcript.pyannote[982].end 6894.37971875
transcript.pyannote[983].speaker SPEAKER_06
transcript.pyannote[983].start 6894.71721875
transcript.pyannote[983].end 6895.03784375
transcript.pyannote[984].speaker SPEAKER_06
transcript.pyannote[984].start 6895.29096875
transcript.pyannote[984].end 6903.77909375
transcript.pyannote[985].speaker SPEAKER_06
transcript.pyannote[985].start 6904.15034375
transcript.pyannote[985].end 6909.53346875
transcript.pyannote[986].speaker SPEAKER_06
transcript.pyannote[986].start 6909.73596875
transcript.pyannote[986].end 6912.52034375
transcript.pyannote[987].speaker SPEAKER_22
transcript.pyannote[987].start 6910.15784375
transcript.pyannote[987].end 6910.20846875
transcript.pyannote[988].speaker SPEAKER_22
transcript.pyannote[988].start 6912.25034375
transcript.pyannote[988].end 6922.00409375
transcript.pyannote[989].speaker SPEAKER_06
transcript.pyannote[989].start 6921.59909375
transcript.pyannote[989].end 6923.96159375
transcript.pyannote[990].speaker SPEAKER_22
transcript.pyannote[990].start 6922.08846875
transcript.pyannote[990].end 6939.03096875
transcript.pyannote[991].speaker SPEAKER_06
transcript.pyannote[991].start 6924.23159375
transcript.pyannote[991].end 6924.99096875
transcript.pyannote[992].speaker SPEAKER_06
transcript.pyannote[992].start 6927.21846875
transcript.pyannote[992].end 6927.45471875
transcript.pyannote[993].speaker SPEAKER_06
transcript.pyannote[993].start 6939.28409375
transcript.pyannote[993].end 6947.51909375
transcript.pyannote[994].speaker SPEAKER_06
transcript.pyannote[994].start 6947.80596875
transcript.pyannote[994].end 6950.25284375
transcript.pyannote[995].speaker SPEAKER_06
transcript.pyannote[995].start 6950.60721875
transcript.pyannote[995].end 6958.08284375
transcript.pyannote[996].speaker SPEAKER_22
transcript.pyannote[996].start 6959.01096875
transcript.pyannote[996].end 6960.15846875
transcript.pyannote[997].speaker SPEAKER_22
transcript.pyannote[997].start 6960.69846875
transcript.pyannote[997].end 6964.64721875
transcript.pyannote[998].speaker SPEAKER_22
transcript.pyannote[998].start 6964.79909375
transcript.pyannote[998].end 6970.87409375
transcript.pyannote[999].speaker SPEAKER_06
transcript.pyannote[999].start 6971.68409375
transcript.pyannote[999].end 6976.96596875
transcript.pyannote[1000].speaker SPEAKER_22
transcript.pyannote[1000].start 6977.64096875
transcript.pyannote[1000].end 6977.65784375
transcript.pyannote[1001].speaker SPEAKER_06
transcript.pyannote[1001].start 6977.65784375
transcript.pyannote[1001].end 6977.67471875
transcript.pyannote[1002].speaker SPEAKER_22
transcript.pyannote[1002].start 6977.67471875
transcript.pyannote[1002].end 6977.69159375
transcript.pyannote[1003].speaker SPEAKER_06
transcript.pyannote[1003].start 6977.69159375
transcript.pyannote[1003].end 6977.86034375
transcript.pyannote[1004].speaker SPEAKER_22
transcript.pyannote[1004].start 6977.86034375
transcript.pyannote[1004].end 6979.09221875
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 6979.09221875
transcript.pyannote[1005].end 6980.40846875
transcript.pyannote[1006].speaker SPEAKER_06
transcript.pyannote[1006].start 6980.64471875
transcript.pyannote[1006].end 6983.00721875
transcript.pyannote[1007].speaker SPEAKER_22
transcript.pyannote[1007].start 6984.00284375
transcript.pyannote[1007].end 6985.33596875
transcript.pyannote[1008].speaker SPEAKER_22
transcript.pyannote[1008].start 6986.12909375
transcript.pyannote[1008].end 6987.49596875
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 6987.71534375
transcript.pyannote[1009].end 7001.23221875
transcript.pyannote[1010].speaker SPEAKER_22
transcript.pyannote[1010].start 7001.62034375
transcript.pyannote[1010].end 7007.81346875
transcript.pyannote[1011].speaker SPEAKER_06
transcript.pyannote[1011].start 7008.69096875
transcript.pyannote[1011].end 7014.19221875
transcript.pyannote[1012].speaker SPEAKER_06
transcript.pyannote[1012].start 7014.79971875
transcript.pyannote[1012].end 7018.29284375
transcript.pyannote[1013].speaker SPEAKER_06
transcript.pyannote[1013].start 7018.98471875
transcript.pyannote[1013].end 7022.79846875
transcript.pyannote[1014].speaker SPEAKER_15
transcript.pyannote[1014].start 7023.05159375
transcript.pyannote[1014].end 7023.43971875
transcript.pyannote[1015].speaker SPEAKER_06
transcript.pyannote[1015].start 7023.25409375
transcript.pyannote[1015].end 7037.68221875
transcript.pyannote[1016].speaker SPEAKER_22
transcript.pyannote[1016].start 7038.01971875
transcript.pyannote[1016].end 7047.48659375
transcript.pyannote[1017].speaker SPEAKER_22
transcript.pyannote[1017].start 7048.43159375
transcript.pyannote[1017].end 7050.32159375
transcript.pyannote[1018].speaker SPEAKER_22
transcript.pyannote[1018].start 7050.40596875
transcript.pyannote[1018].end 7052.11034375
transcript.pyannote[1019].speaker SPEAKER_06
transcript.pyannote[1019].start 7050.45659375
transcript.pyannote[1019].end 7055.97471875
transcript.pyannote[1020].speaker SPEAKER_22
transcript.pyannote[1020].start 7052.97096875
transcript.pyannote[1020].end 7053.54471875
transcript.pyannote[1021].speaker SPEAKER_22
transcript.pyannote[1021].start 7055.97471875
transcript.pyannote[1021].end 7058.42159375
transcript.pyannote[1022].speaker SPEAKER_06
transcript.pyannote[1022].start 7059.01221875
transcript.pyannote[1022].end 7061.35784375
transcript.pyannote[1023].speaker SPEAKER_22
transcript.pyannote[1023].start 7062.20159375
transcript.pyannote[1023].end 7062.48846875
transcript.pyannote[1024].speaker SPEAKER_06
transcript.pyannote[1024].start 7062.48846875
transcript.pyannote[1024].end 7063.43346875
transcript.pyannote[1025].speaker SPEAKER_22
transcript.pyannote[1025].start 7062.65721875
transcript.pyannote[1025].end 7062.96096875
transcript.pyannote[1026].speaker SPEAKER_22
transcript.pyannote[1026].start 7063.43346875
transcript.pyannote[1026].end 7069.00221875
transcript.pyannote[1027].speaker SPEAKER_06
transcript.pyannote[1027].start 7069.20471875
transcript.pyannote[1027].end 7071.80346875
transcript.pyannote[1028].speaker SPEAKER_22
transcript.pyannote[1028].start 7069.45784375
transcript.pyannote[1028].end 7070.87534375
transcript.pyannote[1029].speaker SPEAKER_06
transcript.pyannote[1029].start 7072.27596875
transcript.pyannote[1029].end 7090.16346875
transcript.pyannote[1030].speaker SPEAKER_22
transcript.pyannote[1030].start 7087.96971875
transcript.pyannote[1030].end 7088.07096875
transcript.pyannote[1031].speaker SPEAKER_22
transcript.pyannote[1031].start 7090.41659375
transcript.pyannote[1031].end 7098.58409375
transcript.pyannote[1032].speaker SPEAKER_06
transcript.pyannote[1032].start 7098.53346875
transcript.pyannote[1032].end 7113.85596875
transcript.pyannote[1033].speaker SPEAKER_22
transcript.pyannote[1033].start 7100.71034375
transcript.pyannote[1033].end 7100.96346875
transcript.pyannote[1034].speaker SPEAKER_22
transcript.pyannote[1034].start 7114.00784375
transcript.pyannote[1034].end 7117.70346875
transcript.pyannote[1035].speaker SPEAKER_06
transcript.pyannote[1035].start 7118.15909375
transcript.pyannote[1035].end 7132.84034375
transcript.pyannote[1036].speaker SPEAKER_22
transcript.pyannote[1036].start 7133.31284375
transcript.pyannote[1036].end 7154.08596875
transcript.pyannote[1037].speaker SPEAKER_22
transcript.pyannote[1037].start 7154.54159375
transcript.pyannote[1037].end 7158.25409375
transcript.pyannote[1038].speaker SPEAKER_06
transcript.pyannote[1038].start 7158.30471875
transcript.pyannote[1038].end 7165.45971875
transcript.pyannote[1039].speaker SPEAKER_22
transcript.pyannote[1039].start 7159.92471875
transcript.pyannote[1039].end 7160.54909375
transcript.pyannote[1040].speaker SPEAKER_06
transcript.pyannote[1040].start 7165.76346875
transcript.pyannote[1040].end 7168.78409375
transcript.pyannote[1041].speaker SPEAKER_22
transcript.pyannote[1041].start 7168.96971875
transcript.pyannote[1041].end 7175.70284375
transcript.pyannote[1042].speaker SPEAKER_06
transcript.pyannote[1042].start 7171.93971875
transcript.pyannote[1042].end 7172.42909375
transcript.pyannote[1043].speaker SPEAKER_15
transcript.pyannote[1043].start 7172.42909375
transcript.pyannote[1043].end 7172.53034375
transcript.pyannote[1044].speaker SPEAKER_15
transcript.pyannote[1044].start 7174.25159375
transcript.pyannote[1044].end 7176.09096875
transcript.pyannote[1045].speaker SPEAKER_22
transcript.pyannote[1045].start 7176.09096875
transcript.pyannote[1045].end 7180.95096875
transcript.pyannote[1046].speaker SPEAKER_15
transcript.pyannote[1046].start 7176.12471875
transcript.pyannote[1046].end 7176.17534375
transcript.pyannote[1047].speaker SPEAKER_15
transcript.pyannote[1047].start 7176.29346875
transcript.pyannote[1047].end 7176.39471875
transcript.pyannote[1048].speaker SPEAKER_22
transcript.pyannote[1048].start 7181.45721875
transcript.pyannote[1048].end 7181.98034375
transcript.pyannote[1049].speaker SPEAKER_22
transcript.pyannote[1049].start 7183.09409375
transcript.pyannote[1049].end 7187.00909375
transcript.pyannote[1050].speaker SPEAKER_22
transcript.pyannote[1050].start 7187.63346875
transcript.pyannote[1050].end 7189.03409375
transcript.pyannote[1051].speaker SPEAKER_06
transcript.pyannote[1051].start 7187.65034375
transcript.pyannote[1051].end 7188.59534375
transcript.pyannote[1052].speaker SPEAKER_06
transcript.pyannote[1052].start 7189.03409375
transcript.pyannote[1052].end 7192.29096875
transcript.pyannote[1053].speaker SPEAKER_22
transcript.pyannote[1053].start 7190.29971875
transcript.pyannote[1053].end 7190.35034375
transcript.pyannote[1054].speaker SPEAKER_22
transcript.pyannote[1054].start 7192.51034375
transcript.pyannote[1054].end 7199.05784375
transcript.pyannote[1055].speaker SPEAKER_06
transcript.pyannote[1055].start 7198.61909375
transcript.pyannote[1055].end 7202.95596875
transcript.pyannote[1056].speaker SPEAKER_22
transcript.pyannote[1056].start 7203.47909375
transcript.pyannote[1056].end 7218.80159375
transcript.pyannote[1057].speaker SPEAKER_06
transcript.pyannote[1057].start 7206.01034375
transcript.pyannote[1057].end 7206.83721875
transcript.pyannote[1058].speaker SPEAKER_03
transcript.pyannote[1058].start 7206.83721875
transcript.pyannote[1058].end 7206.93846875
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 7207.19159375
transcript.pyannote[1059].end 7207.27596875
transcript.pyannote[1060].speaker SPEAKER_09
transcript.pyannote[1060].start 7207.27596875
transcript.pyannote[1060].end 7207.30971875
transcript.pyannote[1061].speaker SPEAKER_06
transcript.pyannote[1061].start 7207.30971875
transcript.pyannote[1061].end 7207.42784375
transcript.pyannote[1062].speaker SPEAKER_09
transcript.pyannote[1062].start 7207.42784375
transcript.pyannote[1062].end 7207.61346875
transcript.pyannote[1063].speaker SPEAKER_09
transcript.pyannote[1063].start 7207.66409375
transcript.pyannote[1063].end 7207.68096875
transcript.pyannote[1064].speaker SPEAKER_15
transcript.pyannote[1064].start 7218.93659375
transcript.pyannote[1064].end 7219.25721875
transcript.pyannote[1065].speaker SPEAKER_22
transcript.pyannote[1065].start 7219.24034375
transcript.pyannote[1065].end 7226.58096875
transcript.pyannote[1066].speaker SPEAKER_22
transcript.pyannote[1066].start 7227.20534375
transcript.pyannote[1066].end 7230.09096875
transcript.pyannote[1067].speaker SPEAKER_22
transcript.pyannote[1067].start 7230.61409375
transcript.pyannote[1067].end 7237.63409375
transcript.pyannote[1068].speaker SPEAKER_15
transcript.pyannote[1068].start 7237.63409375
transcript.pyannote[1068].end 7237.78596875
transcript.pyannote[1069].speaker SPEAKER_22
transcript.pyannote[1069].start 7237.78596875
transcript.pyannote[1069].end 7242.10596875
transcript.pyannote[1070].speaker SPEAKER_15
transcript.pyannote[1070].start 7237.81971875
transcript.pyannote[1070].end 7237.97159375
transcript.pyannote[1071].speaker SPEAKER_15
transcript.pyannote[1071].start 7238.03909375
transcript.pyannote[1071].end 7238.07284375
transcript.pyannote[1072].speaker SPEAKER_22
transcript.pyannote[1072].start 7242.56159375
transcript.pyannote[1072].end 7245.43034375
transcript.pyannote[1073].speaker SPEAKER_14
transcript.pyannote[1073].start 7245.43034375
transcript.pyannote[1073].end 7246.96596875
transcript.pyannote[1074].speaker SPEAKER_22
transcript.pyannote[1074].start 7246.96596875
transcript.pyannote[1074].end 7248.02909375
transcript.pyannote[1075].speaker SPEAKER_14
transcript.pyannote[1075].start 7248.02909375
transcript.pyannote[1075].end 7248.80534375
transcript.pyannote[1076].speaker SPEAKER_05
transcript.pyannote[1076].start 7250.42534375
transcript.pyannote[1076].end 7253.24346875
transcript.pyannote[1077].speaker SPEAKER_05
transcript.pyannote[1077].start 7253.76659375
transcript.pyannote[1077].end 7255.72409375
transcript.pyannote[1078].speaker SPEAKER_23
transcript.pyannote[1078].start 7260.75284375
transcript.pyannote[1078].end 7264.81971875
transcript.pyannote[1079].speaker SPEAKER_05
transcript.pyannote[1079].start 7264.81971875
transcript.pyannote[1079].end 7265.35971875
transcript.pyannote[1080].speaker SPEAKER_23
transcript.pyannote[1080].start 7265.35971875
transcript.pyannote[1080].end 7265.44409375
transcript.pyannote[1081].speaker SPEAKER_05
transcript.pyannote[1081].start 7265.44409375
transcript.pyannote[1081].end 7265.52846875
transcript.pyannote[1082].speaker SPEAKER_23
transcript.pyannote[1082].start 7265.52846875
transcript.pyannote[1082].end 7265.54534375
transcript.pyannote[1083].speaker SPEAKER_23
transcript.pyannote[1083].start 7266.99659375
transcript.pyannote[1083].end 7274.06721875
transcript.pyannote[1084].speaker SPEAKER_23
transcript.pyannote[1084].start 7274.84346875
transcript.pyannote[1084].end 7275.63659375
transcript.pyannote[1085].speaker SPEAKER_23
transcript.pyannote[1085].start 7275.92346875
transcript.pyannote[1085].end 7282.38659375
transcript.pyannote[1086].speaker SPEAKER_06
transcript.pyannote[1086].start 7281.98159375
transcript.pyannote[1086].end 7283.04471875
transcript.pyannote[1087].speaker SPEAKER_23
transcript.pyannote[1087].start 7282.74096875
transcript.pyannote[1087].end 7290.13221875
transcript.pyannote[1088].speaker SPEAKER_06
transcript.pyannote[1088].start 7290.45284375
transcript.pyannote[1088].end 7294.50284375
transcript.pyannote[1089].speaker SPEAKER_23
transcript.pyannote[1089].start 7294.50284375
transcript.pyannote[1089].end 7296.10596875
transcript.pyannote[1090].speaker SPEAKER_23
transcript.pyannote[1090].start 7296.88221875
transcript.pyannote[1090].end 7297.25346875
transcript.pyannote[1091].speaker SPEAKER_23
transcript.pyannote[1091].start 7297.81034375
transcript.pyannote[1091].end 7300.72971875
transcript.pyannote[1092].speaker SPEAKER_15
transcript.pyannote[1092].start 7299.21096875
transcript.pyannote[1092].end 7299.46409375
transcript.pyannote[1093].speaker SPEAKER_23
transcript.pyannote[1093].start 7301.08409375
transcript.pyannote[1093].end 7308.88034375
transcript.pyannote[1094].speaker SPEAKER_23
transcript.pyannote[1094].start 7309.67346875
transcript.pyannote[1094].end 7312.17096875
transcript.pyannote[1095].speaker SPEAKER_23
transcript.pyannote[1095].start 7312.47471875
transcript.pyannote[1095].end 7318.09409375
transcript.pyannote[1096].speaker SPEAKER_23
transcript.pyannote[1096].start 7318.61721875
transcript.pyannote[1096].end 7322.34659375
transcript.pyannote[1097].speaker SPEAKER_23
transcript.pyannote[1097].start 7323.27471875
transcript.pyannote[1097].end 7324.94534375
transcript.pyannote[1098].speaker SPEAKER_23
transcript.pyannote[1098].start 7325.16471875
transcript.pyannote[1098].end 7326.34596875
transcript.pyannote[1099].speaker SPEAKER_23
transcript.pyannote[1099].start 7326.53159375
transcript.pyannote[1099].end 7334.14221875
transcript.pyannote[1100].speaker SPEAKER_06
transcript.pyannote[1100].start 7332.99471875
transcript.pyannote[1100].end 7333.78784375
transcript.pyannote[1101].speaker SPEAKER_23
transcript.pyannote[1101].start 7334.51346875
transcript.pyannote[1101].end 7335.18846875
transcript.pyannote[1102].speaker SPEAKER_23
transcript.pyannote[1102].start 7335.96471875
transcript.pyannote[1102].end 7344.45284375
transcript.pyannote[1103].speaker SPEAKER_06
transcript.pyannote[1103].start 7338.85034375
transcript.pyannote[1103].end 7339.67721875
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 7347.20346875
transcript.pyannote[1104].end 7352.85659375
transcript.pyannote[1105].speaker SPEAKER_23
transcript.pyannote[1105].start 7352.55284375
transcript.pyannote[1105].end 7355.82659375
transcript.pyannote[1106].speaker SPEAKER_06
transcript.pyannote[1106].start 7355.43846875
transcript.pyannote[1106].end 7355.55659375
transcript.pyannote[1107].speaker SPEAKER_23
transcript.pyannote[1107].start 7357.29471875
transcript.pyannote[1107].end 7357.90221875
transcript.pyannote[1108].speaker SPEAKER_23
transcript.pyannote[1108].start 7358.49284375
transcript.pyannote[1108].end 7359.91034375
transcript.pyannote[1109].speaker SPEAKER_23
transcript.pyannote[1109].start 7360.39971875
transcript.pyannote[1109].end 7363.03221875
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 7363.03221875
transcript.pyannote[1110].end 7363.60596875
transcript.pyannote[1111].speaker SPEAKER_06
transcript.pyannote[1111].start 7364.39909375
transcript.pyannote[1111].end 7374.11909375
transcript.pyannote[1112].speaker SPEAKER_23
transcript.pyannote[1112].start 7373.56221875
transcript.pyannote[1112].end 7374.06846875
transcript.pyannote[1113].speaker SPEAKER_23
transcript.pyannote[1113].start 7374.11909375
transcript.pyannote[1113].end 7375.77284375
transcript.pyannote[1114].speaker SPEAKER_06
transcript.pyannote[1114].start 7376.09346875
transcript.pyannote[1114].end 7376.22846875
transcript.pyannote[1115].speaker SPEAKER_23
transcript.pyannote[1115].start 7376.22846875
transcript.pyannote[1115].end 7376.44784375
transcript.pyannote[1116].speaker SPEAKER_06
transcript.pyannote[1116].start 7376.44784375
transcript.pyannote[1116].end 7376.46471875
transcript.pyannote[1117].speaker SPEAKER_23
transcript.pyannote[1117].start 7376.46471875
transcript.pyannote[1117].end 7376.49846875
transcript.pyannote[1118].speaker SPEAKER_06
transcript.pyannote[1118].start 7376.49846875
transcript.pyannote[1118].end 7376.53221875
transcript.pyannote[1119].speaker SPEAKER_06
transcript.pyannote[1119].start 7376.85284375
transcript.pyannote[1119].end 7380.32909375
transcript.pyannote[1120].speaker SPEAKER_06
transcript.pyannote[1120].start 7380.76784375
transcript.pyannote[1120].end 7383.99096875
transcript.pyannote[1121].speaker SPEAKER_23
transcript.pyannote[1121].start 7382.43846875
transcript.pyannote[1121].end 7383.58596875
transcript.pyannote[1122].speaker SPEAKER_23
transcript.pyannote[1122].start 7383.99096875
transcript.pyannote[1122].end 7384.05846875
transcript.pyannote[1123].speaker SPEAKER_06
transcript.pyannote[1123].start 7384.05846875
transcript.pyannote[1123].end 7384.14284375
transcript.pyannote[1124].speaker SPEAKER_23
transcript.pyannote[1124].start 7384.14284375
transcript.pyannote[1124].end 7384.31159375
transcript.pyannote[1125].speaker SPEAKER_06
transcript.pyannote[1125].start 7384.31159375
transcript.pyannote[1125].end 7384.34534375
transcript.pyannote[1126].speaker SPEAKER_23
transcript.pyannote[1126].start 7384.34534375
transcript.pyannote[1126].end 7384.51409375
transcript.pyannote[1127].speaker SPEAKER_06
transcript.pyannote[1127].start 7384.51409375
transcript.pyannote[1127].end 7384.71659375
transcript.pyannote[1128].speaker SPEAKER_23
transcript.pyannote[1128].start 7384.71659375
transcript.pyannote[1128].end 7384.83471875
transcript.pyannote[1129].speaker SPEAKER_06
transcript.pyannote[1129].start 7384.83471875
transcript.pyannote[1129].end 7385.13846875
transcript.pyannote[1130].speaker SPEAKER_23
transcript.pyannote[1130].start 7385.13846875
transcript.pyannote[1130].end 7385.57721875
transcript.pyannote[1131].speaker SPEAKER_06
transcript.pyannote[1131].start 7386.31971875
transcript.pyannote[1131].end 7386.33659375
transcript.pyannote[1132].speaker SPEAKER_23
transcript.pyannote[1132].start 7386.33659375
transcript.pyannote[1132].end 7389.67784375
transcript.pyannote[1133].speaker SPEAKER_06
transcript.pyannote[1133].start 7387.75409375
transcript.pyannote[1133].end 7387.97346875
transcript.pyannote[1134].speaker SPEAKER_08
transcript.pyannote[1134].start 7387.97346875
transcript.pyannote[1134].end 7388.34471875
transcript.pyannote[1135].speaker SPEAKER_06
transcript.pyannote[1135].start 7388.34471875
transcript.pyannote[1135].end 7388.47971875
transcript.pyannote[1136].speaker SPEAKER_08
transcript.pyannote[1136].start 7392.47909375
transcript.pyannote[1136].end 7395.02721875
transcript.pyannote[1137].speaker SPEAKER_08
transcript.pyannote[1137].start 7395.38159375
transcript.pyannote[1137].end 7397.11971875
transcript.pyannote[1138].speaker SPEAKER_23
transcript.pyannote[1138].start 7396.37721875
transcript.pyannote[1138].end 7398.53721875
transcript.pyannote[1139].speaker SPEAKER_08
transcript.pyannote[1139].start 7398.53721875
transcript.pyannote[1139].end 7398.80721875
transcript.pyannote[1140].speaker SPEAKER_23
transcript.pyannote[1140].start 7398.80721875
transcript.pyannote[1140].end 7410.19784375
transcript.pyannote[1141].speaker SPEAKER_08
transcript.pyannote[1141].start 7398.89159375
transcript.pyannote[1141].end 7399.85346875
transcript.pyannote[1142].speaker SPEAKER_08
transcript.pyannote[1142].start 7404.40971875
transcript.pyannote[1142].end 7405.96221875
transcript.pyannote[1143].speaker SPEAKER_15
transcript.pyannote[1143].start 7405.96221875
transcript.pyannote[1143].end 7406.02971875
transcript.pyannote[1144].speaker SPEAKER_08
transcript.pyannote[1144].start 7406.02971875
transcript.pyannote[1144].end 7406.06346875
transcript.pyannote[1145].speaker SPEAKER_15
transcript.pyannote[1145].start 7406.06346875
transcript.pyannote[1145].end 7406.14784375
transcript.pyannote[1146].speaker SPEAKER_08
transcript.pyannote[1146].start 7406.14784375
transcript.pyannote[1146].end 7406.23221875
transcript.pyannote[1147].speaker SPEAKER_08
transcript.pyannote[1147].start 7406.29971875
transcript.pyannote[1147].end 7406.38409375
transcript.pyannote[1148].speaker SPEAKER_15
transcript.pyannote[1148].start 7406.38409375
transcript.pyannote[1148].end 7408.29096875
transcript.pyannote[1149].speaker SPEAKER_23
transcript.pyannote[1149].start 7411.49721875
transcript.pyannote[1149].end 7412.30721875
transcript.pyannote[1150].speaker SPEAKER_23
transcript.pyannote[1150].start 7412.84721875
transcript.pyannote[1150].end 7413.92721875
transcript.pyannote[1151].speaker SPEAKER_23
transcript.pyannote[1151].start 7414.77096875
transcript.pyannote[1151].end 7415.83409375
transcript.pyannote[1152].speaker SPEAKER_23
transcript.pyannote[1152].start 7416.34034375
transcript.pyannote[1152].end 7417.55534375
transcript.pyannote[1153].speaker SPEAKER_23
transcript.pyannote[1153].start 7418.14596875
transcript.pyannote[1153].end 7419.61409375
transcript.pyannote[1154].speaker SPEAKER_23
transcript.pyannote[1154].start 7420.59284375
transcript.pyannote[1154].end 7422.04409375
transcript.pyannote[1155].speaker SPEAKER_23
transcript.pyannote[1155].start 7423.51221875
transcript.pyannote[1155].end 7424.69346875
transcript.pyannote[1156].speaker SPEAKER_08
transcript.pyannote[1156].start 7424.96346875
transcript.pyannote[1156].end 7425.79034375
transcript.pyannote[1157].speaker SPEAKER_08
transcript.pyannote[1157].start 7426.34721875
transcript.pyannote[1157].end 7426.83659375
transcript.pyannote[1158].speaker SPEAKER_08
transcript.pyannote[1158].start 7427.17409375
transcript.pyannote[1158].end 7427.19096875
transcript.pyannote[1159].speaker SPEAKER_23
transcript.pyannote[1159].start 7427.19096875
transcript.pyannote[1159].end 7427.96721875
transcript.pyannote[1160].speaker SPEAKER_08
transcript.pyannote[1160].start 7427.96721875
transcript.pyannote[1160].end 7432.54034375
transcript.pyannote[1161].speaker SPEAKER_08
transcript.pyannote[1161].start 7432.92846875
transcript.pyannote[1161].end 7434.21096875
transcript.pyannote[1162].speaker SPEAKER_08
transcript.pyannote[1162].start 7434.51471875
transcript.pyannote[1162].end 7435.34159375
transcript.pyannote[1163].speaker SPEAKER_23
transcript.pyannote[1163].start 7434.76784375
transcript.pyannote[1163].end 7437.31596875
transcript.pyannote[1164].speaker SPEAKER_23
transcript.pyannote[1164].start 7438.17659375
transcript.pyannote[1164].end 7443.49221875
transcript.pyannote[1165].speaker SPEAKER_23
transcript.pyannote[1165].start 7444.16721875
transcript.pyannote[1165].end 7448.28471875
transcript.pyannote[1166].speaker SPEAKER_23
transcript.pyannote[1166].start 7448.67284375
transcript.pyannote[1166].end 7449.90471875
transcript.pyannote[1167].speaker SPEAKER_06
transcript.pyannote[1167].start 7449.43221875
transcript.pyannote[1167].end 7457.68409375
transcript.pyannote[1168].speaker SPEAKER_23
transcript.pyannote[1168].start 7457.68409375
transcript.pyannote[1168].end 7458.88221875
transcript.pyannote[1169].speaker SPEAKER_06
transcript.pyannote[1169].start 7458.13971875
transcript.pyannote[1169].end 7462.22346875
transcript.pyannote[1170].speaker SPEAKER_23
transcript.pyannote[1170].start 7460.19846875
transcript.pyannote[1170].end 7461.14346875
transcript.pyannote[1171].speaker SPEAKER_23
transcript.pyannote[1171].start 7461.85221875
transcript.pyannote[1171].end 7482.97971875
transcript.pyannote[1172].speaker SPEAKER_23
transcript.pyannote[1172].start 7483.50284375
transcript.pyannote[1172].end 7491.06284375
transcript.pyannote[1173].speaker SPEAKER_23
transcript.pyannote[1173].start 7491.34971875
transcript.pyannote[1173].end 7497.37409375
transcript.pyannote[1174].speaker SPEAKER_23
transcript.pyannote[1174].start 7497.72846875
transcript.pyannote[1174].end 7504.81596875
transcript.pyannote[1175].speaker SPEAKER_23
transcript.pyannote[1175].start 7505.44034375
transcript.pyannote[1175].end 7527.20909375
transcript.pyannote[1176].speaker SPEAKER_06
transcript.pyannote[1176].start 7527.69846875
transcript.pyannote[1176].end 7532.33909375
transcript.pyannote[1177].speaker SPEAKER_06
transcript.pyannote[1177].start 7532.60909375
transcript.pyannote[1177].end 7532.79471875
transcript.pyannote[1178].speaker SPEAKER_06
transcript.pyannote[1178].start 7533.30096875
transcript.pyannote[1178].end 7535.00534375
transcript.pyannote[1179].speaker SPEAKER_23
transcript.pyannote[1179].start 7535.00534375
transcript.pyannote[1179].end 7538.17784375
transcript.pyannote[1180].speaker SPEAKER_23
transcript.pyannote[1180].start 7538.92034375
transcript.pyannote[1180].end 7540.32096875
transcript.pyannote[1181].speaker SPEAKER_23
transcript.pyannote[1181].start 7541.28284375
transcript.pyannote[1181].end 7551.89721875
transcript.pyannote[1182].speaker SPEAKER_23
transcript.pyannote[1182].start 7552.80846875
transcript.pyannote[1182].end 7556.48721875
transcript.pyannote[1183].speaker SPEAKER_23
transcript.pyannote[1183].start 7557.28034375
transcript.pyannote[1183].end 7563.57471875
transcript.pyannote[1184].speaker SPEAKER_23
transcript.pyannote[1184].start 7564.06409375
transcript.pyannote[1184].end 7565.80221875
transcript.pyannote[1185].speaker SPEAKER_23
transcript.pyannote[1185].start 7566.19034375
transcript.pyannote[1185].end 7567.69221875
transcript.pyannote[1186].speaker SPEAKER_06
transcript.pyannote[1186].start 7569.85221875
transcript.pyannote[1186].end 7571.55659375
transcript.pyannote[1187].speaker SPEAKER_23
transcript.pyannote[1187].start 7571.55659375
transcript.pyannote[1187].end 7571.62409375
transcript.pyannote[1188].speaker SPEAKER_06
transcript.pyannote[1188].start 7571.62409375
transcript.pyannote[1188].end 7572.07971875
transcript.pyannote[1189].speaker SPEAKER_06
transcript.pyannote[1189].start 7572.99096875
transcript.pyannote[1189].end 7578.42471875
transcript.pyannote[1190].speaker SPEAKER_23
transcript.pyannote[1190].start 7578.30659375
transcript.pyannote[1190].end 7580.73659375
transcript.pyannote[1191].speaker SPEAKER_06
transcript.pyannote[1191].start 7580.73659375
transcript.pyannote[1191].end 7580.78721875
transcript.pyannote[1192].speaker SPEAKER_23
transcript.pyannote[1192].start 7580.78721875
transcript.pyannote[1192].end 7581.04034375
transcript.pyannote[1193].speaker SPEAKER_06
transcript.pyannote[1193].start 7582.28909375
transcript.pyannote[1193].end 7583.31846875
transcript.pyannote[1194].speaker SPEAKER_23
transcript.pyannote[1194].start 7583.31846875
transcript.pyannote[1194].end 7583.33534375
transcript.pyannote[1195].speaker SPEAKER_23
transcript.pyannote[1195].start 7583.38596875
transcript.pyannote[1195].end 7583.97659375
transcript.pyannote[1196].speaker SPEAKER_23
transcript.pyannote[1196].start 7584.41534375
transcript.pyannote[1196].end 7585.41096875
transcript.pyannote[1197].speaker SPEAKER_23
transcript.pyannote[1197].start 7585.86659375
transcript.pyannote[1197].end 7587.50346875
transcript.pyannote[1198].speaker SPEAKER_23
transcript.pyannote[1198].start 7588.21221875
transcript.pyannote[1198].end 7588.24596875
transcript.pyannote[1199].speaker SPEAKER_06
transcript.pyannote[1199].start 7588.24596875
transcript.pyannote[1199].end 7588.29659375
transcript.pyannote[1200].speaker SPEAKER_23
transcript.pyannote[1200].start 7588.29659375
transcript.pyannote[1200].end 7589.89971875
transcript.pyannote[1201].speaker SPEAKER_06
transcript.pyannote[1201].start 7588.81971875
transcript.pyannote[1201].end 7589.22471875
transcript.pyannote[1202].speaker SPEAKER_06
transcript.pyannote[1202].start 7589.89971875
transcript.pyannote[1202].end 7589.91659375
transcript.pyannote[1203].speaker SPEAKER_06
transcript.pyannote[1203].start 7590.16971875
transcript.pyannote[1203].end 7591.33409375
transcript.pyannote[1204].speaker SPEAKER_06
transcript.pyannote[1204].start 7591.90784375
transcript.pyannote[1204].end 7595.82284375
transcript.pyannote[1205].speaker SPEAKER_23
transcript.pyannote[1205].start 7596.34596875
transcript.pyannote[1205].end 7596.36284375
transcript.pyannote[1206].speaker SPEAKER_06
transcript.pyannote[1206].start 7596.36284375
transcript.pyannote[1206].end 7597.24034375
transcript.pyannote[1207].speaker SPEAKER_06
transcript.pyannote[1207].start 7597.56096875
transcript.pyannote[1207].end 7613.87909375
transcript.pyannote[1208].speaker SPEAKER_23
transcript.pyannote[1208].start 7613.99721875
transcript.pyannote[1208].end 7616.35971875
transcript.pyannote[1209].speaker SPEAKER_23
transcript.pyannote[1209].start 7616.73096875
transcript.pyannote[1209].end 7620.51096875
transcript.pyannote[1210].speaker SPEAKER_23
transcript.pyannote[1210].start 7620.89909375
transcript.pyannote[1210].end 7635.02346875
transcript.pyannote[1211].speaker SPEAKER_06
transcript.pyannote[1211].start 7635.02346875
transcript.pyannote[1211].end 7635.32721875
transcript.pyannote[1212].speaker SPEAKER_23
transcript.pyannote[1212].start 7635.66471875
transcript.pyannote[1212].end 7635.69846875
transcript.pyannote[1213].speaker SPEAKER_06
transcript.pyannote[1213].start 7635.69846875
transcript.pyannote[1213].end 7642.81971875
transcript.pyannote[1214].speaker SPEAKER_06
transcript.pyannote[1214].start 7643.19096875
transcript.pyannote[1214].end 7648.92846875
transcript.pyannote[1215].speaker SPEAKER_23
transcript.pyannote[1215].start 7643.35971875
transcript.pyannote[1215].end 7643.68034375
transcript.pyannote[1216].speaker SPEAKER_23
transcript.pyannote[1216].start 7647.84846875
transcript.pyannote[1216].end 7655.02034375
transcript.pyannote[1217].speaker SPEAKER_15
transcript.pyannote[1217].start 7655.02034375
transcript.pyannote[1217].end 7655.35784375
transcript.pyannote[1218].speaker SPEAKER_23
transcript.pyannote[1218].start 7655.49284375
transcript.pyannote[1218].end 7667.13659375
transcript.pyannote[1219].speaker SPEAKER_06
transcript.pyannote[1219].start 7667.13659375
transcript.pyannote[1219].end 7667.22096875
transcript.pyannote[1220].speaker SPEAKER_06
transcript.pyannote[1220].start 7667.37284375
transcript.pyannote[1220].end 7667.44034375
transcript.pyannote[1221].speaker SPEAKER_23
transcript.pyannote[1221].start 7667.44034375
transcript.pyannote[1221].end 7668.03096875
transcript.pyannote[1222].speaker SPEAKER_06
transcript.pyannote[1222].start 7668.03096875
transcript.pyannote[1222].end 7682.42534375
transcript.pyannote[1223].speaker SPEAKER_23
transcript.pyannote[1223].start 7674.62909375
transcript.pyannote[1223].end 7675.65846875
transcript.pyannote[1224].speaker SPEAKER_06
transcript.pyannote[1224].start 7682.64471875
transcript.pyannote[1224].end 7690.81221875
transcript.pyannote[1225].speaker SPEAKER_06
transcript.pyannote[1225].start 7691.70659375
transcript.pyannote[1225].end 7697.29221875
transcript.pyannote[1226].speaker SPEAKER_23
transcript.pyannote[1226].start 7697.05596875
transcript.pyannote[1226].end 7701.20721875
transcript.pyannote[1227].speaker SPEAKER_06
transcript.pyannote[1227].start 7701.76409375
transcript.pyannote[1227].end 7706.97846875
transcript.pyannote[1228].speaker SPEAKER_23
transcript.pyannote[1228].start 7706.97846875
transcript.pyannote[1228].end 7707.02909375
transcript.pyannote[1229].speaker SPEAKER_06
transcript.pyannote[1229].start 7707.02909375
transcript.pyannote[1229].end 7708.96971875
transcript.pyannote[1230].speaker SPEAKER_23
transcript.pyannote[1230].start 7708.96971875
transcript.pyannote[1230].end 7714.97721875
transcript.pyannote[1231].speaker SPEAKER_06
transcript.pyannote[1231].start 7709.12159375
transcript.pyannote[1231].end 7709.44221875
transcript.pyannote[1232].speaker SPEAKER_06
transcript.pyannote[1232].start 7715.65221875
transcript.pyannote[1232].end 7718.97659375
transcript.pyannote[1233].speaker SPEAKER_23
transcript.pyannote[1233].start 7718.97659375
transcript.pyannote[1233].end 7751.93346875
transcript.pyannote[1234].speaker SPEAKER_06
transcript.pyannote[1234].start 7719.22971875
transcript.pyannote[1234].end 7719.29721875
transcript.pyannote[1235].speaker SPEAKER_23
transcript.pyannote[1235].start 7752.06846875
transcript.pyannote[1235].end 7753.50284375
transcript.pyannote[1236].speaker SPEAKER_23
transcript.pyannote[1236].start 7753.75596875
transcript.pyannote[1236].end 7767.71159375
transcript.pyannote[1237].speaker SPEAKER_21
transcript.pyannote[1237].start 7753.78971875
transcript.pyannote[1237].end 7754.19471875
transcript.pyannote[1238].speaker SPEAKER_23
transcript.pyannote[1238].start 7768.13346875
transcript.pyannote[1238].end 7768.15034375
transcript.pyannote[1239].speaker SPEAKER_05
transcript.pyannote[1239].start 7768.15034375
transcript.pyannote[1239].end 7768.43721875
transcript.pyannote[1240].speaker SPEAKER_23
transcript.pyannote[1240].start 7768.43721875
transcript.pyannote[1240].end 7768.45409375
transcript.pyannote[1241].speaker SPEAKER_05
transcript.pyannote[1241].start 7768.45409375
transcript.pyannote[1241].end 7768.48784375
transcript.pyannote[1242].speaker SPEAKER_05
transcript.pyannote[1242].start 7769.95596875
transcript.pyannote[1242].end 7772.40284375
transcript.pyannote[1243].speaker SPEAKER_05
transcript.pyannote[1243].start 7773.01034375
transcript.pyannote[1243].end 7777.31346875
transcript.pyannote[1244].speaker SPEAKER_19
transcript.pyannote[1244].start 7783.47284375
transcript.pyannote[1244].end 7783.89471875
transcript.pyannote[1245].speaker SPEAKER_19
transcript.pyannote[1245].start 7784.01284375
transcript.pyannote[1245].end 7786.15596875
transcript.pyannote[1246].speaker SPEAKER_19
transcript.pyannote[1246].start 7786.61159375
transcript.pyannote[1246].end 7787.91096875
transcript.pyannote[1247].speaker SPEAKER_19
transcript.pyannote[1247].start 7788.09659375
transcript.pyannote[1247].end 7788.82221875
transcript.pyannote[1248].speaker SPEAKER_19
transcript.pyannote[1248].start 7789.66596875
transcript.pyannote[1248].end 7790.44221875
transcript.pyannote[1249].speaker SPEAKER_05
transcript.pyannote[1249].start 7789.88534375
transcript.pyannote[1249].end 7790.64471875
transcript.pyannote[1250].speaker SPEAKER_19
transcript.pyannote[1250].start 7790.64471875
transcript.pyannote[1250].end 7791.52221875
transcript.pyannote[1251].speaker SPEAKER_19
transcript.pyannote[1251].start 7792.16346875
transcript.pyannote[1251].end 7793.56409375
transcript.pyannote[1252].speaker SPEAKER_05
transcript.pyannote[1252].start 7793.96909375
transcript.pyannote[1252].end 7794.69471875
transcript.pyannote[1253].speaker SPEAKER_05
transcript.pyannote[1253].start 7797.78284375
transcript.pyannote[1253].end 7798.23846875
transcript.pyannote[1254].speaker SPEAKER_19
transcript.pyannote[1254].start 7799.18346875
transcript.pyannote[1254].end 7800.19596875
transcript.pyannote[1255].speaker SPEAKER_19
transcript.pyannote[1255].start 7802.01846875
transcript.pyannote[1255].end 7802.91284375
transcript.pyannote[1256].speaker SPEAKER_19
transcript.pyannote[1256].start 7803.30096875
transcript.pyannote[1256].end 7804.11096875
transcript.pyannote[1257].speaker SPEAKER_19
transcript.pyannote[1257].start 7804.66784375
transcript.pyannote[1257].end 7805.56221875
transcript.pyannote[1258].speaker SPEAKER_19
transcript.pyannote[1258].start 7805.79846875
transcript.pyannote[1258].end 7807.03034375
transcript.pyannote[1259].speaker SPEAKER_19
transcript.pyannote[1259].start 7807.58721875
transcript.pyannote[1259].end 7809.62909375
transcript.pyannote[1260].speaker SPEAKER_19
transcript.pyannote[1260].start 7810.18596875
transcript.pyannote[1260].end 7811.83971875
transcript.pyannote[1261].speaker SPEAKER_19
transcript.pyannote[1261].start 7812.49784375
transcript.pyannote[1261].end 7815.61971875
transcript.pyannote[1262].speaker SPEAKER_19
transcript.pyannote[1262].start 7815.83909375
transcript.pyannote[1262].end 7819.33221875
transcript.pyannote[1263].speaker SPEAKER_19
transcript.pyannote[1263].start 7819.93971875
transcript.pyannote[1263].end 7822.09971875
transcript.pyannote[1264].speaker SPEAKER_19
transcript.pyannote[1264].start 7822.85909375
transcript.pyannote[1264].end 7823.53409375
transcript.pyannote[1265].speaker SPEAKER_19
transcript.pyannote[1265].start 7823.98971875
transcript.pyannote[1265].end 7824.86721875
transcript.pyannote[1266].speaker SPEAKER_19
transcript.pyannote[1266].start 7825.47471875
transcript.pyannote[1266].end 7826.80784375
transcript.pyannote[1267].speaker SPEAKER_19
transcript.pyannote[1267].start 7827.11159375
transcript.pyannote[1267].end 7828.32659375
transcript.pyannote[1268].speaker SPEAKER_19
transcript.pyannote[1268].start 7828.84971875
transcript.pyannote[1268].end 7831.76909375
transcript.pyannote[1269].speaker SPEAKER_19
transcript.pyannote[1269].start 7832.05596875
transcript.pyannote[1269].end 7832.62971875
transcript.pyannote[1270].speaker SPEAKER_19
transcript.pyannote[1270].start 7833.30471875
transcript.pyannote[1270].end 7834.72221875
transcript.pyannote[1271].speaker SPEAKER_19
transcript.pyannote[1271].start 7835.16096875
transcript.pyannote[1271].end 7835.71784375
transcript.pyannote[1272].speaker SPEAKER_19
transcript.pyannote[1272].start 7836.03846875
transcript.pyannote[1272].end 7838.55284375
transcript.pyannote[1273].speaker SPEAKER_19
transcript.pyannote[1273].start 7840.00409375
transcript.pyannote[1273].end 7840.62846875
transcript.pyannote[1274].speaker SPEAKER_19
transcript.pyannote[1274].start 7841.25284375
transcript.pyannote[1274].end 7842.01221875
transcript.pyannote[1275].speaker SPEAKER_19
transcript.pyannote[1275].start 7843.19346875
transcript.pyannote[1275].end 7843.81784375
transcript.pyannote[1276].speaker SPEAKER_19
transcript.pyannote[1276].start 7844.39159375
transcript.pyannote[1276].end 7844.98221875
transcript.pyannote[1277].speaker SPEAKER_14
transcript.pyannote[1277].start 7845.58971875
transcript.pyannote[1277].end 7849.47096875
transcript.pyannote[1278].speaker SPEAKER_19
transcript.pyannote[1278].start 7849.50471875
transcript.pyannote[1278].end 7849.87596875
transcript.pyannote[1279].speaker SPEAKER_19
transcript.pyannote[1279].start 7850.43284375
transcript.pyannote[1279].end 7856.01846875
transcript.pyannote[1280].speaker SPEAKER_19
transcript.pyannote[1280].start 7856.47409375
transcript.pyannote[1280].end 7857.01409375
transcript.pyannote[1281].speaker SPEAKER_19
transcript.pyannote[1281].start 7857.38534375
transcript.pyannote[1281].end 7858.43159375
transcript.pyannote[1282].speaker SPEAKER_19
transcript.pyannote[1282].start 7858.90409375
transcript.pyannote[1282].end 7860.76034375
transcript.pyannote[1283].speaker SPEAKER_19
transcript.pyannote[1283].start 7861.36784375
transcript.pyannote[1283].end 7861.67159375
transcript.pyannote[1284].speaker SPEAKER_19
transcript.pyannote[1284].start 7862.76846875
transcript.pyannote[1284].end 7866.37971875
transcript.pyannote[1285].speaker SPEAKER_19
transcript.pyannote[1285].start 7866.90284375
transcript.pyannote[1285].end 7867.27409375
transcript.pyannote[1286].speaker SPEAKER_19
transcript.pyannote[1286].start 7867.83096875
transcript.pyannote[1286].end 7868.50596875
transcript.pyannote[1287].speaker SPEAKER_19
transcript.pyannote[1287].start 7868.92784375
transcript.pyannote[1287].end 7869.63659375
transcript.pyannote[1288].speaker SPEAKER_19
transcript.pyannote[1288].start 7870.00784375
transcript.pyannote[1288].end 7871.08784375
transcript.pyannote[1289].speaker SPEAKER_19
transcript.pyannote[1289].start 7871.54346875
transcript.pyannote[1289].end 7873.24784375
transcript.pyannote[1290].speaker SPEAKER_19
transcript.pyannote[1290].start 7873.48409375
transcript.pyannote[1290].end 7876.63971875
transcript.pyannote[1291].speaker SPEAKER_19
transcript.pyannote[1291].start 7876.92659375
transcript.pyannote[1291].end 7878.20909375
transcript.pyannote[1292].speaker SPEAKER_19
transcript.pyannote[1292].start 7878.54659375
transcript.pyannote[1292].end 7879.44096875
transcript.pyannote[1293].speaker SPEAKER_19
transcript.pyannote[1293].start 7879.87971875
transcript.pyannote[1293].end 7880.67284375
transcript.pyannote[1294].speaker SPEAKER_19
transcript.pyannote[1294].start 7881.04409375
transcript.pyannote[1294].end 7881.49971875
transcript.pyannote[1295].speaker SPEAKER_19
transcript.pyannote[1295].start 7882.25909375
transcript.pyannote[1295].end 7883.33909375
transcript.pyannote[1296].speaker SPEAKER_19
transcript.pyannote[1296].start 7883.74409375
transcript.pyannote[1296].end 7884.46971875
transcript.pyannote[1297].speaker SPEAKER_19
transcript.pyannote[1297].start 7884.80721875
transcript.pyannote[1297].end 7886.29221875
transcript.pyannote[1298].speaker SPEAKER_19
transcript.pyannote[1298].start 7887.30471875
transcript.pyannote[1298].end 7887.89534375
transcript.pyannote[1299].speaker SPEAKER_19
transcript.pyannote[1299].start 7889.32971875
transcript.pyannote[1299].end 7900.26471875
transcript.pyannote[1300].speaker SPEAKER_19
transcript.pyannote[1300].start 7900.82159375
transcript.pyannote[1300].end 7902.81284375
transcript.pyannote[1301].speaker SPEAKER_19
transcript.pyannote[1301].start 7902.99846875
transcript.pyannote[1301].end 7903.89284375
transcript.pyannote[1302].speaker SPEAKER_19
transcript.pyannote[1302].start 7904.17971875
transcript.pyannote[1302].end 7905.36096875
transcript.pyannote[1303].speaker SPEAKER_19
transcript.pyannote[1303].start 7906.12034375
transcript.pyannote[1303].end 7907.58846875
transcript.pyannote[1304].speaker SPEAKER_19
transcript.pyannote[1304].start 7908.34784375
transcript.pyannote[1304].end 7908.95534375
transcript.pyannote[1305].speaker SPEAKER_19
transcript.pyannote[1305].start 7909.29284375
transcript.pyannote[1305].end 7910.05221875
transcript.pyannote[1306].speaker SPEAKER_19
transcript.pyannote[1306].start 7910.69346875
transcript.pyannote[1306].end 7911.84096875
transcript.pyannote[1307].speaker SPEAKER_19
transcript.pyannote[1307].start 7912.22909375
transcript.pyannote[1307].end 7913.49471875
transcript.pyannote[1308].speaker SPEAKER_19
transcript.pyannote[1308].start 7913.98409375
transcript.pyannote[1308].end 7916.24534375
transcript.pyannote[1309].speaker SPEAKER_19
transcript.pyannote[1309].start 7917.37596875
transcript.pyannote[1309].end 7918.45596875
transcript.pyannote[1310].speaker SPEAKER_19
transcript.pyannote[1310].start 7919.50221875
transcript.pyannote[1310].end 7920.37971875
transcript.pyannote[1311].speaker SPEAKER_19
transcript.pyannote[1311].start 7920.71721875
transcript.pyannote[1311].end 7922.13471875
transcript.pyannote[1312].speaker SPEAKER_19
transcript.pyannote[1312].start 7922.42159375
transcript.pyannote[1312].end 7925.27346875
transcript.pyannote[1313].speaker SPEAKER_19
transcript.pyannote[1313].start 7925.76284375
transcript.pyannote[1313].end 7927.83846875
transcript.pyannote[1314].speaker SPEAKER_19
transcript.pyannote[1314].start 7928.26034375
transcript.pyannote[1314].end 7930.60596875
transcript.pyannote[1315].speaker SPEAKER_19
transcript.pyannote[1315].start 7930.87596875
transcript.pyannote[1315].end 7931.83784375
transcript.pyannote[1316].speaker SPEAKER_19
transcript.pyannote[1316].start 7932.78284375
transcript.pyannote[1316].end 7933.59284375
transcript.pyannote[1317].speaker SPEAKER_19
transcript.pyannote[1317].start 7934.40284375
transcript.pyannote[1317].end 7935.39846875
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 7936.03971875
transcript.pyannote[1318].end 7936.07346875
transcript.pyannote[1319].speaker SPEAKER_19
transcript.pyannote[1319].start 7936.07346875
transcript.pyannote[1319].end 7937.76096875
transcript.pyannote[1320].speaker SPEAKER_19
transcript.pyannote[1320].start 7938.21659375
transcript.pyannote[1320].end 7939.63409375
transcript.pyannote[1321].speaker SPEAKER_19
transcript.pyannote[1321].start 7940.03909375
transcript.pyannote[1321].end 7940.95034375
transcript.pyannote[1322].speaker SPEAKER_19
transcript.pyannote[1322].start 7941.62534375
transcript.pyannote[1322].end 7942.90784375
transcript.pyannote[1323].speaker SPEAKER_19
transcript.pyannote[1323].start 7943.80221875
transcript.pyannote[1323].end 7944.22409375
transcript.pyannote[1324].speaker SPEAKER_19
transcript.pyannote[1324].start 7944.91596875
transcript.pyannote[1324].end 7946.78909375
transcript.pyannote[1325].speaker SPEAKER_19
transcript.pyannote[1325].start 7947.29534375
transcript.pyannote[1325].end 7949.16846875
transcript.pyannote[1326].speaker SPEAKER_19
transcript.pyannote[1326].start 7949.72534375
transcript.pyannote[1326].end 7950.18096875
transcript.pyannote[1327].speaker SPEAKER_19
transcript.pyannote[1327].start 7951.53096875
transcript.pyannote[1327].end 7952.32409375
transcript.pyannote[1328].speaker SPEAKER_19
transcript.pyannote[1328].start 7952.72909375
transcript.pyannote[1328].end 7953.64034375
transcript.pyannote[1329].speaker SPEAKER_19
transcript.pyannote[1329].start 7954.01159375
transcript.pyannote[1329].end 7955.56409375
transcript.pyannote[1330].speaker SPEAKER_19
transcript.pyannote[1330].start 7956.89721875
transcript.pyannote[1330].end 7957.67346875
transcript.pyannote[1331].speaker SPEAKER_19
transcript.pyannote[1331].start 7958.53409375
transcript.pyannote[1331].end 7960.25534375
transcript.pyannote[1332].speaker SPEAKER_19
transcript.pyannote[1332].start 7961.90909375
transcript.pyannote[1332].end 7962.06096875
transcript.pyannote[1333].speaker SPEAKER_14
transcript.pyannote[1333].start 7962.21284375
transcript.pyannote[1333].end 7963.49534375
transcript.pyannote[1334].speaker SPEAKER_19
transcript.pyannote[1334].start 7962.98909375
transcript.pyannote[1334].end 7963.51221875
transcript.pyannote[1335].speaker SPEAKER_14
transcript.pyannote[1335].start 7963.51221875
transcript.pyannote[1335].end 7982.80034375
transcript.pyannote[1336].speaker SPEAKER_19
transcript.pyannote[1336].start 7976.97846875
transcript.pyannote[1336].end 7984.06596875
transcript.pyannote[1337].speaker SPEAKER_14
transcript.pyannote[1337].start 7983.39096875
transcript.pyannote[1337].end 7983.44159375
transcript.pyannote[1338].speaker SPEAKER_14
transcript.pyannote[1338].start 7984.06596875
transcript.pyannote[1338].end 7984.20096875
transcript.pyannote[1339].speaker SPEAKER_19
transcript.pyannote[1339].start 7984.20096875
transcript.pyannote[1339].end 7996.60409375
transcript.pyannote[1340].speaker SPEAKER_14
transcript.pyannote[1340].start 7984.21784375
transcript.pyannote[1340].end 7984.90971875
transcript.pyannote[1341].speaker SPEAKER_14
transcript.pyannote[1341].start 7989.17909375
transcript.pyannote[1341].end 7989.60096875
transcript.pyannote[1342].speaker SPEAKER_14
transcript.pyannote[1342].start 7990.57971875
transcript.pyannote[1342].end 7994.29221875
transcript.pyannote[1343].speaker SPEAKER_14
transcript.pyannote[1343].start 7994.49471875
transcript.pyannote[1343].end 8013.02346875
transcript.pyannote[1344].speaker SPEAKER_19
transcript.pyannote[1344].start 7999.16909375
transcript.pyannote[1344].end 8002.18971875
transcript.pyannote[1345].speaker SPEAKER_19
transcript.pyannote[1345].start 8003.15159375
transcript.pyannote[1345].end 8004.53534375
transcript.pyannote[1346].speaker SPEAKER_19
transcript.pyannote[1346].start 8008.56846875
transcript.pyannote[1346].end 8011.75784375
transcript.pyannote[1347].speaker SPEAKER_19
transcript.pyannote[1347].start 8013.22596875
transcript.pyannote[1347].end 8013.63096875
transcript.pyannote[1348].speaker SPEAKER_19
transcript.pyannote[1348].start 8013.76596875
transcript.pyannote[1348].end 8025.39284375
transcript.pyannote[1349].speaker SPEAKER_15
transcript.pyannote[1349].start 8017.42784375
transcript.pyannote[1349].end 8017.44471875
transcript.pyannote[1350].speaker SPEAKER_14
transcript.pyannote[1350].start 8017.44471875
transcript.pyannote[1350].end 8017.68096875
transcript.pyannote[1351].speaker SPEAKER_15
transcript.pyannote[1351].start 8017.68096875
transcript.pyannote[1351].end 8017.76534375
transcript.pyannote[1352].speaker SPEAKER_19
transcript.pyannote[1352].start 8025.76409375
transcript.pyannote[1352].end 8026.25346875
transcript.pyannote[1353].speaker SPEAKER_19
transcript.pyannote[1353].start 8027.16471875
transcript.pyannote[1353].end 8028.17721875
transcript.pyannote[1354].speaker SPEAKER_19
transcript.pyannote[1354].start 8028.41346875
transcript.pyannote[1354].end 8029.79721875
transcript.pyannote[1355].speaker SPEAKER_19
transcript.pyannote[1355].start 8030.35409375
transcript.pyannote[1355].end 8031.23159375
transcript.pyannote[1356].speaker SPEAKER_19
transcript.pyannote[1356].start 8031.55221875
transcript.pyannote[1356].end 8033.59409375
transcript.pyannote[1357].speaker SPEAKER_19
transcript.pyannote[1357].start 8033.91471875
transcript.pyannote[1357].end 8035.31534375
transcript.pyannote[1358].speaker SPEAKER_19
transcript.pyannote[1358].start 8035.45034375
transcript.pyannote[1358].end 8036.02409375
transcript.pyannote[1359].speaker SPEAKER_19
transcript.pyannote[1359].start 8036.12534375
transcript.pyannote[1359].end 8039.34846875
transcript.pyannote[1360].speaker SPEAKER_19
transcript.pyannote[1360].start 8039.75346875
transcript.pyannote[1360].end 8040.59721875
transcript.pyannote[1361].speaker SPEAKER_19
transcript.pyannote[1361].start 8040.98534375
transcript.pyannote[1361].end 8043.88784375
transcript.pyannote[1362].speaker SPEAKER_19
transcript.pyannote[1362].start 8044.52909375
transcript.pyannote[1362].end 8045.22096875
transcript.pyannote[1363].speaker SPEAKER_19
transcript.pyannote[1363].start 8045.37284375
transcript.pyannote[1363].end 8049.06846875
transcript.pyannote[1364].speaker SPEAKER_19
transcript.pyannote[1364].start 8049.15284375
transcript.pyannote[1364].end 8050.03034375
transcript.pyannote[1365].speaker SPEAKER_14
transcript.pyannote[1365].start 8050.03034375
transcript.pyannote[1365].end 8055.83534375
transcript.pyannote[1366].speaker SPEAKER_19
transcript.pyannote[1366].start 8055.53159375
transcript.pyannote[1366].end 8058.33284375
transcript.pyannote[1367].speaker SPEAKER_14
transcript.pyannote[1367].start 8058.56909375
transcript.pyannote[1367].end 8059.19346875
transcript.pyannote[1368].speaker SPEAKER_19
transcript.pyannote[1368].start 8058.78846875
transcript.pyannote[1368].end 8060.74596875
transcript.pyannote[1369].speaker SPEAKER_19
transcript.pyannote[1369].start 8061.28596875
transcript.pyannote[1369].end 8065.04909375
transcript.pyannote[1370].speaker SPEAKER_19
transcript.pyannote[1370].start 8065.38659375
transcript.pyannote[1370].end 8066.80409375
transcript.pyannote[1371].speaker SPEAKER_19
transcript.pyannote[1371].start 8067.69846875
transcript.pyannote[1371].end 8068.35659375
transcript.pyannote[1372].speaker SPEAKER_19
transcript.pyannote[1372].start 8070.19596875
transcript.pyannote[1372].end 8072.42346875
transcript.pyannote[1373].speaker SPEAKER_19
transcript.pyannote[1373].start 8072.62596875
transcript.pyannote[1373].end 8073.84096875
transcript.pyannote[1374].speaker SPEAKER_19
transcript.pyannote[1374].start 8074.21221875
transcript.pyannote[1374].end 8075.54534375
transcript.pyannote[1375].speaker SPEAKER_19
transcript.pyannote[1375].start 8076.40596875
transcript.pyannote[1375].end 8077.65471875
transcript.pyannote[1376].speaker SPEAKER_19
transcript.pyannote[1376].start 8078.44784375
transcript.pyannote[1376].end 8078.75159375
transcript.pyannote[1377].speaker SPEAKER_19
transcript.pyannote[1377].start 8079.29159375
transcript.pyannote[1377].end 8080.11846875
transcript.pyannote[1378].speaker SPEAKER_19
transcript.pyannote[1378].start 8080.32096875
transcript.pyannote[1378].end 8081.50221875
transcript.pyannote[1379].speaker SPEAKER_19
transcript.pyannote[1379].start 8082.17721875
transcript.pyannote[1379].end 8085.48471875
transcript.pyannote[1380].speaker SPEAKER_19
transcript.pyannote[1380].start 8085.77159375
transcript.pyannote[1380].end 8088.04971875
transcript.pyannote[1381].speaker SPEAKER_19
transcript.pyannote[1381].start 8088.58971875
transcript.pyannote[1381].end 8089.77096875
transcript.pyannote[1382].speaker SPEAKER_19
transcript.pyannote[1382].start 8090.10846875
transcript.pyannote[1382].end 8098.56284375
transcript.pyannote[1383].speaker SPEAKER_19
transcript.pyannote[1383].start 8099.25471875
transcript.pyannote[1383].end 8101.11096875
transcript.pyannote[1384].speaker SPEAKER_19
transcript.pyannote[1384].start 8101.51596875
transcript.pyannote[1384].end 8104.24971875
transcript.pyannote[1385].speaker SPEAKER_19
transcript.pyannote[1385].start 8104.33409375
transcript.pyannote[1385].end 8105.41409375
transcript.pyannote[1386].speaker SPEAKER_19
transcript.pyannote[1386].start 8106.42659375
transcript.pyannote[1386].end 8107.87784375
transcript.pyannote[1387].speaker SPEAKER_19
transcript.pyannote[1387].start 8108.41784375
transcript.pyannote[1387].end 8110.25721875
transcript.pyannote[1388].speaker SPEAKER_06
transcript.pyannote[1388].start 8110.83096875
transcript.pyannote[1388].end 8127.09846875
transcript.pyannote[1389].speaker SPEAKER_19
transcript.pyannote[1389].start 8122.74471875
transcript.pyannote[1389].end 8123.08221875
transcript.pyannote[1390].speaker SPEAKER_19
transcript.pyannote[1390].start 8124.36471875
transcript.pyannote[1390].end 8127.25034375
transcript.pyannote[1391].speaker SPEAKER_19
transcript.pyannote[1391].start 8127.79034375
transcript.pyannote[1391].end 8129.03909375
transcript.pyannote[1392].speaker SPEAKER_19
transcript.pyannote[1392].start 8129.66346875
transcript.pyannote[1392].end 8132.93721875
transcript.pyannote[1393].speaker SPEAKER_19
transcript.pyannote[1393].start 8133.59534375
transcript.pyannote[1393].end 8136.37971875
transcript.pyannote[1394].speaker SPEAKER_19
transcript.pyannote[1394].start 8136.76784375
transcript.pyannote[1394].end 8137.29096875
transcript.pyannote[1395].speaker SPEAKER_19
transcript.pyannote[1395].start 8137.67909375
transcript.pyannote[1395].end 8139.02909375
transcript.pyannote[1396].speaker SPEAKER_19
transcript.pyannote[1396].start 8139.41721875
transcript.pyannote[1396].end 8140.78409375
transcript.pyannote[1397].speaker SPEAKER_19
transcript.pyannote[1397].start 8141.25659375
transcript.pyannote[1397].end 8143.02846875
transcript.pyannote[1398].speaker SPEAKER_19
transcript.pyannote[1398].start 8143.06221875
transcript.pyannote[1398].end 8147.28096875
transcript.pyannote[1399].speaker SPEAKER_19
transcript.pyannote[1399].start 8147.85471875
transcript.pyannote[1399].end 8148.47909375
transcript.pyannote[1400].speaker SPEAKER_19
transcript.pyannote[1400].start 8148.52971875
transcript.pyannote[1400].end 8152.03971875
transcript.pyannote[1401].speaker SPEAKER_19
transcript.pyannote[1401].start 8152.47846875
transcript.pyannote[1401].end 8155.26284375
transcript.pyannote[1402].speaker SPEAKER_19
transcript.pyannote[1402].start 8155.90409375
transcript.pyannote[1402].end 8157.82784375
transcript.pyannote[1403].speaker SPEAKER_19
transcript.pyannote[1403].start 8158.45221875
transcript.pyannote[1403].end 8159.65034375
transcript.pyannote[1404].speaker SPEAKER_19
transcript.pyannote[1404].start 8160.02159375
transcript.pyannote[1404].end 8162.18159375
transcript.pyannote[1405].speaker SPEAKER_19
transcript.pyannote[1405].start 8162.19846875
transcript.pyannote[1405].end 8163.98721875
transcript.pyannote[1406].speaker SPEAKER_19
transcript.pyannote[1406].start 8164.10534375
transcript.pyannote[1406].end 8166.50159375
transcript.pyannote[1407].speaker SPEAKER_19
transcript.pyannote[1407].start 8167.63221875
transcript.pyannote[1407].end 8168.49284375
transcript.pyannote[1408].speaker SPEAKER_19
transcript.pyannote[1408].start 8168.88096875
transcript.pyannote[1408].end 8169.25221875
transcript.pyannote[1409].speaker SPEAKER_19
transcript.pyannote[1409].start 8169.72471875
transcript.pyannote[1409].end 8170.80471875
transcript.pyannote[1410].speaker SPEAKER_19
transcript.pyannote[1410].start 8170.97346875
transcript.pyannote[1410].end 8172.81284375
transcript.pyannote[1411].speaker SPEAKER_19
transcript.pyannote[1411].start 8173.97721875
transcript.pyannote[1411].end 8177.23409375
transcript.pyannote[1412].speaker SPEAKER_19
transcript.pyannote[1412].start 8177.60534375
transcript.pyannote[1412].end 8178.29721875
transcript.pyannote[1413].speaker SPEAKER_19
transcript.pyannote[1413].start 8178.61784375
transcript.pyannote[1413].end 8182.06034375
transcript.pyannote[1414].speaker SPEAKER_06
transcript.pyannote[1414].start 8182.22909375
transcript.pyannote[1414].end 8187.46034375
transcript.pyannote[1415].speaker SPEAKER_19
transcript.pyannote[1415].start 8182.78596875
transcript.pyannote[1415].end 8184.28784375
transcript.pyannote[1416].speaker SPEAKER_19
transcript.pyannote[1416].start 8186.92034375
transcript.pyannote[1416].end 8187.27471875
transcript.pyannote[1417].speaker SPEAKER_19
transcript.pyannote[1417].start 8187.42659375
transcript.pyannote[1417].end 8189.48534375
transcript.pyannote[1418].speaker SPEAKER_19
transcript.pyannote[1418].start 8190.04221875
transcript.pyannote[1418].end 8190.70034375
transcript.pyannote[1419].speaker SPEAKER_19
transcript.pyannote[1419].start 8192.06721875
transcript.pyannote[1419].end 8192.70846875
transcript.pyannote[1420].speaker SPEAKER_19
transcript.pyannote[1420].start 8193.26534375
transcript.pyannote[1420].end 8193.94034375
transcript.pyannote[1421].speaker SPEAKER_19
transcript.pyannote[1421].start 8194.36221875
transcript.pyannote[1421].end 8195.94846875
transcript.pyannote[1422].speaker SPEAKER_19
transcript.pyannote[1422].start 8196.30284375
transcript.pyannote[1422].end 8197.43346875
transcript.pyannote[1423].speaker SPEAKER_19
transcript.pyannote[1423].start 8197.88909375
transcript.pyannote[1423].end 8202.69846875
transcript.pyannote[1424].speaker SPEAKER_19
transcript.pyannote[1424].start 8203.30596875
transcript.pyannote[1424].end 8205.38159375
transcript.pyannote[1425].speaker SPEAKER_06
transcript.pyannote[1425].start 8205.71909375
transcript.pyannote[1425].end 8209.44846875
transcript.pyannote[1426].speaker SPEAKER_19
transcript.pyannote[1426].start 8209.24596875
transcript.pyannote[1426].end 8220.04596875
transcript.pyannote[1427].speaker SPEAKER_06
transcript.pyannote[1427].start 8218.57784375
transcript.pyannote[1427].end 8219.10096875
transcript.pyannote[1428].speaker SPEAKER_19
transcript.pyannote[1428].start 8220.53534375
transcript.pyannote[1428].end 8221.58159375
transcript.pyannote[1429].speaker SPEAKER_06
transcript.pyannote[1429].start 8221.58159375
transcript.pyannote[1429].end 8225.19284375
transcript.pyannote[1430].speaker SPEAKER_19
transcript.pyannote[1430].start 8225.19284375
transcript.pyannote[1430].end 8226.57659375
transcript.pyannote[1431].speaker SPEAKER_19
transcript.pyannote[1431].start 8227.47096875
transcript.pyannote[1431].end 8228.70284375
transcript.pyannote[1432].speaker SPEAKER_19
transcript.pyannote[1432].start 8229.58034375
transcript.pyannote[1432].end 8231.33534375
transcript.pyannote[1433].speaker SPEAKER_19
transcript.pyannote[1433].start 8232.73596875
transcript.pyannote[1433].end 8234.89596875
transcript.pyannote[1434].speaker SPEAKER_14
transcript.pyannote[1434].start 8235.01409375
transcript.pyannote[1434].end 8240.97096875
transcript.pyannote[1435].speaker SPEAKER_19
transcript.pyannote[1435].start 8237.98409375
transcript.pyannote[1435].end 8241.07221875
transcript.pyannote[1436].speaker SPEAKER_14
transcript.pyannote[1436].start 8241.00471875
transcript.pyannote[1436].end 8241.03846875
transcript.pyannote[1437].speaker SPEAKER_14
transcript.pyannote[1437].start 8241.07221875
transcript.pyannote[1437].end 8243.50221875
transcript.pyannote[1438].speaker SPEAKER_19
transcript.pyannote[1438].start 8241.39284375
transcript.pyannote[1438].end 8241.93284375
transcript.pyannote[1439].speaker SPEAKER_19
transcript.pyannote[1439].start 8243.01284375
transcript.pyannote[1439].end 8243.63721875
transcript.pyannote[1440].speaker SPEAKER_19
transcript.pyannote[1440].start 8243.95784375
transcript.pyannote[1440].end 8245.54409375
transcript.pyannote[1441].speaker SPEAKER_19
transcript.pyannote[1441].start 8245.99971875
transcript.pyannote[1441].end 8247.33284375
transcript.pyannote[1442].speaker SPEAKER_19
transcript.pyannote[1442].start 8247.63659375
transcript.pyannote[1442].end 8248.56471875
transcript.pyannote[1443].speaker SPEAKER_19
transcript.pyannote[1443].start 8248.91909375
transcript.pyannote[1443].end 8250.53909375
transcript.pyannote[1444].speaker SPEAKER_19
transcript.pyannote[1444].start 8250.75846875
transcript.pyannote[1444].end 8255.56784375
transcript.pyannote[1445].speaker SPEAKER_06
transcript.pyannote[1445].start 8253.34034375
transcript.pyannote[1445].end 8261.64284375
transcript.pyannote[1446].speaker SPEAKER_19
transcript.pyannote[1446].start 8259.49971875
transcript.pyannote[1446].end 8260.74846875
transcript.pyannote[1447].speaker SPEAKER_19
transcript.pyannote[1447].start 8261.45721875
transcript.pyannote[1447].end 8262.68909375
transcript.pyannote[1448].speaker SPEAKER_06
transcript.pyannote[1448].start 8262.68909375
transcript.pyannote[1448].end 8262.72284375
transcript.pyannote[1449].speaker SPEAKER_06
transcript.pyannote[1449].start 8263.04346875
transcript.pyannote[1449].end 8274.83909375
transcript.pyannote[1450].speaker SPEAKER_19
transcript.pyannote[1450].start 8267.05971875
transcript.pyannote[1450].end 8269.28721875
transcript.pyannote[1451].speaker SPEAKER_06
transcript.pyannote[1451].start 8275.00784375
transcript.pyannote[1451].end 8278.16346875
transcript.pyannote[1452].speaker SPEAKER_06
transcript.pyannote[1452].start 8278.31534375
transcript.pyannote[1452].end 8281.90971875
transcript.pyannote[1453].speaker SPEAKER_19
transcript.pyannote[1453].start 8282.93909375
transcript.pyannote[1453].end 8283.95159375
transcript.pyannote[1454].speaker SPEAKER_19
transcript.pyannote[1454].start 8284.60971875
transcript.pyannote[1454].end 8287.52909375
transcript.pyannote[1455].speaker SPEAKER_19
transcript.pyannote[1455].start 8288.20409375
transcript.pyannote[1455].end 8289.48659375
transcript.pyannote[1456].speaker SPEAKER_19
transcript.pyannote[1456].start 8290.04346875
transcript.pyannote[1456].end 8300.40471875
transcript.pyannote[1457].speaker SPEAKER_19
transcript.pyannote[1457].start 8300.77596875
transcript.pyannote[1457].end 8302.46346875
transcript.pyannote[1458].speaker SPEAKER_19
transcript.pyannote[1458].start 8302.80096875
transcript.pyannote[1458].end 8303.37471875
transcript.pyannote[1459].speaker SPEAKER_19
transcript.pyannote[1459].start 8304.10034375
transcript.pyannote[1459].end 8304.92721875
transcript.pyannote[1460].speaker SPEAKER_19
transcript.pyannote[1460].start 8305.56846875
transcript.pyannote[1460].end 8307.22221875
transcript.pyannote[1461].speaker SPEAKER_19
transcript.pyannote[1461].start 8307.79596875
transcript.pyannote[1461].end 8308.65659375
transcript.pyannote[1462].speaker SPEAKER_19
transcript.pyannote[1462].start 8309.09534375
transcript.pyannote[1462].end 8311.01909375
transcript.pyannote[1463].speaker SPEAKER_19
transcript.pyannote[1463].start 8311.40721875
transcript.pyannote[1463].end 8313.02721875
transcript.pyannote[1464].speaker SPEAKER_19
transcript.pyannote[1464].start 8313.38159375
transcript.pyannote[1464].end 8316.60471875
transcript.pyannote[1465].speaker SPEAKER_19
transcript.pyannote[1465].start 8316.70596875
transcript.pyannote[1465].end 8325.07596875
transcript.pyannote[1466].speaker SPEAKER_19
transcript.pyannote[1466].start 8325.71721875
transcript.pyannote[1466].end 8328.70409375
transcript.pyannote[1467].speaker SPEAKER_19
transcript.pyannote[1467].start 8329.14284375
transcript.pyannote[1467].end 8333.17596875
transcript.pyannote[1468].speaker SPEAKER_19
transcript.pyannote[1468].start 8333.37846875
transcript.pyannote[1468].end 8334.45846875
transcript.pyannote[1469].speaker SPEAKER_19
transcript.pyannote[1469].start 8334.98159375
transcript.pyannote[1469].end 8337.19221875
transcript.pyannote[1470].speaker SPEAKER_19
transcript.pyannote[1470].start 8337.59721875
transcript.pyannote[1470].end 8338.59284375
transcript.pyannote[1471].speaker SPEAKER_19
transcript.pyannote[1471].start 8338.99784375
transcript.pyannote[1471].end 8341.71471875
transcript.pyannote[1472].speaker SPEAKER_19
transcript.pyannote[1472].start 8341.88346875
transcript.pyannote[1472].end 8345.47784375
transcript.pyannote[1473].speaker SPEAKER_19
transcript.pyannote[1473].start 8345.81534375
transcript.pyannote[1473].end 8346.96284375
transcript.pyannote[1474].speaker SPEAKER_19
transcript.pyannote[1474].start 8347.24971875
transcript.pyannote[1474].end 8348.31284375
transcript.pyannote[1475].speaker SPEAKER_19
transcript.pyannote[1475].start 8348.80221875
transcript.pyannote[1475].end 8349.17346875
transcript.pyannote[1476].speaker SPEAKER_14
transcript.pyannote[1476].start 8349.73034375
transcript.pyannote[1476].end 8353.88159375
transcript.pyannote[1477].speaker SPEAKER_14
transcript.pyannote[1477].start 8353.96596875
transcript.pyannote[1477].end 8358.91034375
transcript.pyannote[1478].speaker SPEAKER_19
transcript.pyannote[1478].start 8359.04534375
transcript.pyannote[1478].end 8361.27284375
transcript.pyannote[1479].speaker SPEAKER_19
transcript.pyannote[1479].start 8361.82971875
transcript.pyannote[1479].end 8364.68159375
transcript.pyannote[1480].speaker SPEAKER_19
transcript.pyannote[1480].start 8364.86721875
transcript.pyannote[1480].end 8370.46971875
transcript.pyannote[1481].speaker SPEAKER_15
transcript.pyannote[1481].start 8370.46971875
transcript.pyannote[1481].end 8370.73971875
transcript.pyannote[1482].speaker SPEAKER_19
transcript.pyannote[1482].start 8370.73971875
transcript.pyannote[1482].end 8372.49471875
transcript.pyannote[1483].speaker SPEAKER_15
transcript.pyannote[1483].start 8370.75659375
transcript.pyannote[1483].end 8370.79034375
transcript.pyannote[1484].speaker SPEAKER_15
transcript.pyannote[1484].start 8371.19534375
transcript.pyannote[1484].end 8371.31346875
transcript.pyannote[1485].speaker SPEAKER_19
transcript.pyannote[1485].start 8372.52846875
transcript.pyannote[1485].end 8372.54534375
transcript.pyannote[1486].speaker SPEAKER_15
transcript.pyannote[1486].start 8372.62971875
transcript.pyannote[1486].end 8372.83221875
transcript.pyannote[1487].speaker SPEAKER_19
transcript.pyannote[1487].start 8372.83221875
transcript.pyannote[1487].end 8377.40534375
transcript.pyannote[1488].speaker SPEAKER_19
transcript.pyannote[1488].start 8377.77659375
transcript.pyannote[1488].end 8379.05909375
transcript.pyannote[1489].speaker SPEAKER_19
transcript.pyannote[1489].start 8379.49784375
transcript.pyannote[1489].end 8380.94909375
transcript.pyannote[1490].speaker SPEAKER_19
transcript.pyannote[1490].start 8381.40471875
transcript.pyannote[1490].end 8383.51409375
transcript.pyannote[1491].speaker SPEAKER_19
transcript.pyannote[1491].start 8383.88534375
transcript.pyannote[1491].end 8385.84284375
transcript.pyannote[1492].speaker SPEAKER_19
transcript.pyannote[1492].start 8386.23096875
transcript.pyannote[1492].end 8389.80846875
transcript.pyannote[1493].speaker SPEAKER_19
transcript.pyannote[1493].start 8390.65221875
transcript.pyannote[1493].end 8393.45346875
transcript.pyannote[1494].speaker SPEAKER_19
transcript.pyannote[1494].start 8393.99346875
transcript.pyannote[1494].end 8395.47846875
transcript.pyannote[1495].speaker SPEAKER_19
transcript.pyannote[1495].start 8396.23784375
transcript.pyannote[1495].end 8397.03096875
transcript.pyannote[1496].speaker SPEAKER_19
transcript.pyannote[1496].start 8397.48659375
transcript.pyannote[1496].end 8398.51596875
transcript.pyannote[1497].speaker SPEAKER_19
transcript.pyannote[1497].start 8398.85346875
transcript.pyannote[1497].end 8402.48159375
transcript.pyannote[1498].speaker SPEAKER_19
transcript.pyannote[1498].start 8402.76846875
transcript.pyannote[1498].end 8403.96659375
transcript.pyannote[1499].speaker SPEAKER_19
transcript.pyannote[1499].start 8404.42221875
transcript.pyannote[1499].end 8405.06346875
transcript.pyannote[1500].speaker SPEAKER_19
transcript.pyannote[1500].start 8405.90721875
transcript.pyannote[1500].end 8407.44284375
transcript.pyannote[1501].speaker SPEAKER_19
transcript.pyannote[1501].start 8407.86471875
transcript.pyannote[1501].end 8408.97846875
transcript.pyannote[1502].speaker SPEAKER_19
transcript.pyannote[1502].start 8409.34971875
transcript.pyannote[1502].end 8409.88971875
transcript.pyannote[1503].speaker SPEAKER_19
transcript.pyannote[1503].start 8410.24409375
transcript.pyannote[1503].end 8413.38284375
transcript.pyannote[1504].speaker SPEAKER_19
transcript.pyannote[1504].start 8413.87221875
transcript.pyannote[1504].end 8416.55534375
transcript.pyannote[1505].speaker SPEAKER_19
transcript.pyannote[1505].start 8416.65659375
transcript.pyannote[1505].end 8429.04284375
transcript.pyannote[1506].speaker SPEAKER_19
transcript.pyannote[1506].start 8429.29596875
transcript.pyannote[1506].end 8430.40971875
transcript.pyannote[1507].speaker SPEAKER_19
transcript.pyannote[1507].start 8430.59534375
transcript.pyannote[1507].end 8432.19846875
transcript.pyannote[1508].speaker SPEAKER_19
transcript.pyannote[1508].start 8432.29971875
transcript.pyannote[1508].end 8434.91534375
transcript.pyannote[1509].speaker SPEAKER_19
transcript.pyannote[1509].start 8435.72534375
transcript.pyannote[1509].end 8436.11346875
transcript.pyannote[1510].speaker SPEAKER_14
transcript.pyannote[1510].start 8436.55221875
transcript.pyannote[1510].end 8440.23096875
transcript.pyannote[1511].speaker SPEAKER_19
transcript.pyannote[1511].start 8440.41659375
transcript.pyannote[1511].end 8441.27721875
transcript.pyannote[1512].speaker SPEAKER_14
transcript.pyannote[1512].start 8441.56409375
transcript.pyannote[1512].end 8442.03659375
transcript.pyannote[1513].speaker SPEAKER_05
transcript.pyannote[1513].start 8442.03659375
transcript.pyannote[1513].end 8442.05346875
transcript.pyannote[1514].speaker SPEAKER_05
transcript.pyannote[1514].start 8444.33159375
transcript.pyannote[1514].end 8449.27596875
transcript.pyannote[1515].speaker SPEAKER_12
transcript.pyannote[1515].start 9071.54159375
transcript.pyannote[1515].end 9076.92471875
transcript.pyannote[1516].speaker SPEAKER_05
transcript.pyannote[1516].start 9083.13471875
transcript.pyannote[1516].end 9086.12159375
transcript.pyannote[1517].speaker SPEAKER_01
transcript.pyannote[1517].start 9086.39159375
transcript.pyannote[1517].end 9087.20159375
transcript.pyannote[1518].speaker SPEAKER_05
transcript.pyannote[1518].start 9087.42096875
transcript.pyannote[1518].end 9089.05784375
transcript.pyannote[1519].speaker SPEAKER_01
transcript.pyannote[1519].start 9088.97346875
transcript.pyannote[1519].end 9089.02409375
transcript.pyannote[1520].speaker SPEAKER_01
transcript.pyannote[1520].start 9089.05784375
transcript.pyannote[1520].end 9090.42471875
transcript.pyannote[1521].speaker SPEAKER_05
transcript.pyannote[1521].start 9094.55909375
transcript.pyannote[1521].end 9094.99784375
transcript.pyannote[1522].speaker SPEAKER_05
transcript.pyannote[1522].start 9095.55471875
transcript.pyannote[1522].end 9110.57346875
transcript.pyannote[1523].speaker SPEAKER_05
transcript.pyannote[1523].start 9111.18096875
transcript.pyannote[1523].end 9123.28034375
transcript.pyannote[1524].speaker SPEAKER_05
transcript.pyannote[1524].start 9123.82034375
transcript.pyannote[1524].end 9130.62096875
transcript.pyannote[1525].speaker SPEAKER_05
transcript.pyannote[1525].start 9131.02596875
transcript.pyannote[1525].end 9132.10596875
transcript.pyannote[1526].speaker SPEAKER_05
transcript.pyannote[1526].start 9132.84846875
transcript.pyannote[1526].end 9140.45909375
transcript.pyannote[1527].speaker SPEAKER_05
transcript.pyannote[1527].start 9140.98221875
transcript.pyannote[1527].end 9154.61721875
transcript.pyannote[1528].speaker SPEAKER_05
transcript.pyannote[1528].start 9155.59596875
transcript.pyannote[1528].end 9157.18221875
transcript.pyannote[1529].speaker SPEAKER_06
transcript.pyannote[1529].start 9157.30034375
transcript.pyannote[1529].end 9172.97721875
transcript.pyannote[1530].speaker SPEAKER_06
transcript.pyannote[1530].start 9173.24721875
transcript.pyannote[1530].end 9177.11159375
transcript.pyannote[1531].speaker SPEAKER_06
transcript.pyannote[1531].start 9177.92159375
transcript.pyannote[1531].end 9185.54909375
transcript.pyannote[1532].speaker SPEAKER_05
transcript.pyannote[1532].start 9186.10596875
transcript.pyannote[1532].end 9190.22346875
transcript.pyannote[1533].speaker SPEAKER_05
transcript.pyannote[1533].start 9190.99971875
transcript.pyannote[1533].end 9196.70346875
transcript.pyannote[1534].speaker SPEAKER_05
transcript.pyannote[1534].start 9196.83846875
transcript.pyannote[1534].end 9203.14971875
transcript.pyannote[1535].speaker SPEAKER_05
transcript.pyannote[1535].start 9203.50409375
transcript.pyannote[1535].end 9209.14034375
transcript.pyannote[1536].speaker SPEAKER_06
transcript.pyannote[1536].start 9205.69784375
transcript.pyannote[1536].end 9218.08409375
transcript.pyannote[1537].speaker SPEAKER_05
transcript.pyannote[1537].start 9209.35971875
transcript.pyannote[1537].end 9209.74784375
transcript.pyannote[1538].speaker SPEAKER_06
transcript.pyannote[1538].start 9218.92784375
transcript.pyannote[1538].end 9226.15034375
transcript.pyannote[1539].speaker SPEAKER_05
transcript.pyannote[1539].start 9223.34909375
transcript.pyannote[1539].end 9223.85534375
transcript.pyannote[1540].speaker SPEAKER_05
transcript.pyannote[1540].start 9226.38659375
transcript.pyannote[1540].end 9226.89284375
transcript.pyannote[1541].speaker SPEAKER_05
transcript.pyannote[1541].start 9227.43284375
transcript.pyannote[1541].end 9241.06784375
transcript.pyannote[1542].speaker SPEAKER_05
transcript.pyannote[1542].start 9241.23659375
transcript.pyannote[1542].end 9250.28159375
transcript.pyannote[1543].speaker SPEAKER_05
transcript.pyannote[1543].start 9250.34909375
transcript.pyannote[1543].end 9251.68221875
transcript.pyannote[1544].speaker SPEAKER_05
transcript.pyannote[1544].start 9252.07034375
transcript.pyannote[1544].end 9254.17971875
transcript.pyannote[1545].speaker SPEAKER_05
transcript.pyannote[1545].start 9254.21346875
transcript.pyannote[1545].end 9260.94659375
transcript.pyannote[1546].speaker SPEAKER_05
transcript.pyannote[1546].start 9261.46971875
transcript.pyannote[1546].end 9264.32159375
transcript.pyannote[1547].speaker SPEAKER_05
transcript.pyannote[1547].start 9264.49034375
transcript.pyannote[1547].end 9266.68409375
transcript.pyannote[1548].speaker SPEAKER_05
transcript.pyannote[1548].start 9266.97096875
transcript.pyannote[1548].end 9269.92409375
transcript.pyannote[1549].speaker SPEAKER_05
transcript.pyannote[1549].start 9270.24471875
transcript.pyannote[1549].end 9276.23534375
transcript.pyannote[1550].speaker SPEAKER_05
transcript.pyannote[1550].start 9276.53909375
transcript.pyannote[1550].end 9277.33221875
transcript.pyannote[1551].speaker SPEAKER_05
transcript.pyannote[1551].start 9277.83846875
transcript.pyannote[1551].end 9278.88471875
transcript.pyannote[1552].speaker SPEAKER_05
transcript.pyannote[1552].start 9279.01971875
transcript.pyannote[1552].end 9279.57659375
transcript.pyannote[1553].speaker SPEAKER_05
transcript.pyannote[1553].start 9280.09971875
transcript.pyannote[1553].end 9285.70221875
transcript.pyannote[1554].speaker SPEAKER_05
transcript.pyannote[1554].start 9286.44471875
transcript.pyannote[1554].end 9286.96784375
transcript.pyannote[1555].speaker SPEAKER_05
transcript.pyannote[1555].start 9287.47409375
transcript.pyannote[1555].end 9293.88659375
transcript.pyannote[1556].speaker SPEAKER_05
transcript.pyannote[1556].start 9294.61221875
transcript.pyannote[1556].end 9303.23534375
transcript.pyannote[1557].speaker SPEAKER_06
transcript.pyannote[1557].start 9303.16784375
transcript.pyannote[1557].end 9306.71159375
transcript.pyannote[1558].speaker SPEAKER_08
transcript.pyannote[1558].start 9303.23534375
transcript.pyannote[1558].end 9303.38721875
transcript.pyannote[1559].speaker SPEAKER_08
transcript.pyannote[1559].start 9307.48784375
transcript.pyannote[1559].end 9313.37721875
transcript.pyannote[1560].speaker SPEAKER_06
transcript.pyannote[1560].start 9311.23409375
transcript.pyannote[1560].end 9311.63909375
transcript.pyannote[1561].speaker SPEAKER_06
transcript.pyannote[1561].start 9312.70221875
transcript.pyannote[1561].end 9312.95534375
transcript.pyannote[1562].speaker SPEAKER_08
transcript.pyannote[1562].start 9313.79909375
transcript.pyannote[1562].end 9317.39346875
transcript.pyannote[1563].speaker SPEAKER_08
transcript.pyannote[1563].start 9317.66346875
transcript.pyannote[1563].end 9319.60409375
transcript.pyannote[1564].speaker SPEAKER_08
transcript.pyannote[1564].start 9319.97534375
transcript.pyannote[1564].end 9329.49284375
transcript.pyannote[1565].speaker SPEAKER_05
transcript.pyannote[1565].start 9330.11721875
transcript.pyannote[1565].end 9332.85096875
transcript.pyannote[1566].speaker SPEAKER_05
transcript.pyannote[1566].start 9334.43721875
transcript.pyannote[1566].end 9336.10784375
transcript.pyannote[1567].speaker SPEAKER_05
transcript.pyannote[1567].start 9336.88409375
transcript.pyannote[1567].end 9340.17471875
transcript.pyannote[1568].speaker SPEAKER_05
transcript.pyannote[1568].start 9341.10284375
transcript.pyannote[1568].end 9342.19971875
transcript.pyannote[1569].speaker SPEAKER_05
transcript.pyannote[1569].start 9343.21221875
transcript.pyannote[1569].end 9345.69284375
transcript.pyannote[1570].speaker SPEAKER_08
transcript.pyannote[1570].start 9345.82784375
transcript.pyannote[1570].end 9349.16909375
transcript.pyannote[1571].speaker SPEAKER_05
transcript.pyannote[1571].start 9349.16909375
transcript.pyannote[1571].end 9349.57409375
transcript.pyannote[1572].speaker SPEAKER_08
transcript.pyannote[1572].start 9349.57409375
transcript.pyannote[1572].end 9351.12659375
transcript.pyannote[1573].speaker SPEAKER_08
transcript.pyannote[1573].start 9351.16034375
transcript.pyannote[1573].end 9355.26096875
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 9355.63221875
transcript.pyannote[1574].end 9357.28596875
transcript.pyannote[1575].speaker SPEAKER_08
transcript.pyannote[1575].start 9357.52221875
transcript.pyannote[1575].end 9358.82159375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 9358.97346875
transcript.pyannote[1576].end 9365.60534375
transcript.pyannote[1577].speaker SPEAKER_05
transcript.pyannote[1577].start 9366.49971875
transcript.pyannote[1577].end 9369.89159375
transcript.pyannote[1578].speaker SPEAKER_05
transcript.pyannote[1578].start 9370.51596875
transcript.pyannote[1578].end 9382.76721875
transcript.pyannote[1579].speaker SPEAKER_05
transcript.pyannote[1579].start 9383.32409375
transcript.pyannote[1579].end 9389.90534375
transcript.pyannote[1580].speaker SPEAKER_05
transcript.pyannote[1580].start 9390.81659375
transcript.pyannote[1580].end 9395.23784375
transcript.pyannote[1581].speaker SPEAKER_05
transcript.pyannote[1581].start 9395.50784375
transcript.pyannote[1581].end 9395.86221875
transcript.pyannote[1582].speaker SPEAKER_05
transcript.pyannote[1582].start 9396.01409375
transcript.pyannote[1582].end 9401.49846875
transcript.pyannote[1583].speaker SPEAKER_05
transcript.pyannote[1583].start 9401.61659375
transcript.pyannote[1583].end 9415.42034375
transcript.pyannote[1584].speaker SPEAKER_08
transcript.pyannote[1584].start 9415.62284375
transcript.pyannote[1584].end 9416.09534375
transcript.pyannote[1585].speaker SPEAKER_08
transcript.pyannote[1585].start 9416.58471875
transcript.pyannote[1585].end 9422.10284375
transcript.pyannote[1586].speaker SPEAKER_15
transcript.pyannote[1586].start 9422.17034375
transcript.pyannote[1586].end 9422.55846875
transcript.pyannote[1587].speaker SPEAKER_08
transcript.pyannote[1587].start 9422.52471875
transcript.pyannote[1587].end 9428.78534375
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 9429.30846875
transcript.pyannote[1588].end 9431.45159375
transcript.pyannote[1589].speaker SPEAKER_08
transcript.pyannote[1589].start 9431.73846875
transcript.pyannote[1589].end 9436.66596875
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 9436.95284375
transcript.pyannote[1590].end 9438.75846875
transcript.pyannote[1591].speaker SPEAKER_08
transcript.pyannote[1591].start 9439.04534375
transcript.pyannote[1591].end 9444.59721875
transcript.pyannote[1592].speaker SPEAKER_08
transcript.pyannote[1592].start 9444.74909375
transcript.pyannote[1592].end 9447.83721875
transcript.pyannote[1593].speaker SPEAKER_05
transcript.pyannote[1593].start 9448.05659375
transcript.pyannote[1593].end 9449.20409375
transcript.pyannote[1594].speaker SPEAKER_05
transcript.pyannote[1594].start 9449.47409375
transcript.pyannote[1594].end 9455.76846875
transcript.pyannote[1595].speaker SPEAKER_05
transcript.pyannote[1595].start 9455.92034375
transcript.pyannote[1595].end 9458.14784375
transcript.pyannote[1596].speaker SPEAKER_05
transcript.pyannote[1596].start 9458.89034375
transcript.pyannote[1596].end 9481.89096875
transcript.pyannote[1597].speaker SPEAKER_15
transcript.pyannote[1597].start 9477.60471875
transcript.pyannote[1597].end 9477.85784375
transcript.pyannote[1598].speaker SPEAKER_05
transcript.pyannote[1598].start 9482.54909375
transcript.pyannote[1598].end 9504.19971875
transcript.pyannote[1599].speaker SPEAKER_05
transcript.pyannote[1599].start 9504.72284375
transcript.pyannote[1599].end 9510.89909375
transcript.pyannote[1600].speaker SPEAKER_05
transcript.pyannote[1600].start 9511.38846875
transcript.pyannote[1600].end 9517.07534375
transcript.pyannote[1601].speaker SPEAKER_05
transcript.pyannote[1601].start 9517.73346875
transcript.pyannote[1601].end 9530.72721875
transcript.pyannote[1602].speaker SPEAKER_05
transcript.pyannote[1602].start 9531.14909375
transcript.pyannote[1602].end 9532.26284375
transcript.pyannote[1603].speaker SPEAKER_14
transcript.pyannote[1603].start 9532.26284375
transcript.pyannote[1603].end 9629.02409375
transcript.pyannote[1604].speaker SPEAKER_05
transcript.pyannote[1604].start 9629.02409375
transcript.pyannote[1604].end 9639.62159375
transcript.pyannote[1605].speaker SPEAKER_05
transcript.pyannote[1605].start 9640.19534375
transcript.pyannote[1605].end 9641.17409375
transcript.pyannote[1606].speaker SPEAKER_05
transcript.pyannote[1606].start 9641.79846875
transcript.pyannote[1606].end 9642.54096875
transcript.pyannote[1607].speaker SPEAKER_05
transcript.pyannote[1607].start 9643.04721875
transcript.pyannote[1607].end 9660.58034375
transcript.pyannote[1608].speaker SPEAKER_05
transcript.pyannote[1608].start 9661.50846875
transcript.pyannote[1608].end 9665.03534375
transcript.pyannote[1609].speaker SPEAKER_05
transcript.pyannote[1609].start 9665.60909375
transcript.pyannote[1609].end 9668.34284375
transcript.pyannote[1610].speaker SPEAKER_14
transcript.pyannote[1610].start 9668.34284375
transcript.pyannote[1610].end 9668.35971875
transcript.pyannote[1611].speaker SPEAKER_14
transcript.pyannote[1611].start 9669.20346875
transcript.pyannote[1611].end 9676.05471875
transcript.pyannote[1612].speaker SPEAKER_05
transcript.pyannote[1612].start 9676.05471875
transcript.pyannote[1612].end 9676.07159375
transcript.pyannote[1613].speaker SPEAKER_14
transcript.pyannote[1613].start 9676.07159375
transcript.pyannote[1613].end 9676.08846875
transcript.pyannote[1614].speaker SPEAKER_05
transcript.pyannote[1614].start 9676.08846875
transcript.pyannote[1614].end 9676.10534375
transcript.pyannote[1615].speaker SPEAKER_14
transcript.pyannote[1615].start 9676.10534375
transcript.pyannote[1615].end 9676.20659375
transcript.pyannote[1616].speaker SPEAKER_05
transcript.pyannote[1616].start 9676.20659375
transcript.pyannote[1616].end 9676.49346875
transcript.pyannote[1617].speaker SPEAKER_12
transcript.pyannote[1617].start 9679.51409375
transcript.pyannote[1617].end 9681.43784375
transcript.pyannote[1618].speaker SPEAKER_05
transcript.pyannote[1618].start 9692.20409375
transcript.pyannote[1618].end 9694.26284375
transcript.pyannote[1619].speaker SPEAKER_12
transcript.pyannote[1619].start 9699.24096875
transcript.pyannote[1619].end 9704.94471875
transcript.pyannote[1620].speaker SPEAKER_05
transcript.pyannote[1620].start 9705.21471875
transcript.pyannote[1620].end 9706.81784375
transcript.pyannote[1621].speaker SPEAKER_12
transcript.pyannote[1621].start 9715.96409375
transcript.pyannote[1621].end 9730.47659375
transcript.pyannote[1622].speaker SPEAKER_00
transcript.pyannote[1622].start 9716.48721875
transcript.pyannote[1622].end 9716.70659375
transcript.pyannote[1623].speaker SPEAKER_12
transcript.pyannote[1623].start 9733.32846875
transcript.pyannote[1623].end 9741.86721875
transcript.pyannote[1624].speaker SPEAKER_06
transcript.pyannote[1624].start 9742.03596875
transcript.pyannote[1624].end 9753.00471875
transcript.pyannote[1625].speaker SPEAKER_12
transcript.pyannote[1625].start 9752.61659375
transcript.pyannote[1625].end 9758.35409375
transcript.pyannote[1626].speaker SPEAKER_06
transcript.pyannote[1626].start 9757.72971875
transcript.pyannote[1626].end 9758.70846875
transcript.pyannote[1627].speaker SPEAKER_12
transcript.pyannote[1627].start 9758.65784375
transcript.pyannote[1627].end 9772.10721875
transcript.pyannote[1628].speaker SPEAKER_12
transcript.pyannote[1628].start 9772.22534375
transcript.pyannote[1628].end 9777.72659375
transcript.pyannote[1629].speaker SPEAKER_12
transcript.pyannote[1629].start 9778.19909375
transcript.pyannote[1629].end 9782.63721875
transcript.pyannote[1630].speaker SPEAKER_06
transcript.pyannote[1630].start 9782.90721875
transcript.pyannote[1630].end 9799.86659375
transcript.pyannote[1631].speaker SPEAKER_06
transcript.pyannote[1631].start 9799.91721875
transcript.pyannote[1631].end 9813.01221875
transcript.pyannote[1632].speaker SPEAKER_12
transcript.pyannote[1632].start 9812.79284375
transcript.pyannote[1632].end 9817.14659375
transcript.pyannote[1633].speaker SPEAKER_06
transcript.pyannote[1633].start 9817.06221875
transcript.pyannote[1633].end 9827.27159375
transcript.pyannote[1634].speaker SPEAKER_12
transcript.pyannote[1634].start 9826.39409375
transcript.pyannote[1634].end 9833.49846875
transcript.pyannote[1635].speaker SPEAKER_06
transcript.pyannote[1635].start 9833.80221875
transcript.pyannote[1635].end 9835.16909375
transcript.pyannote[1636].speaker SPEAKER_12
transcript.pyannote[1636].start 9835.43909375
transcript.pyannote[1636].end 9838.89846875
transcript.pyannote[1637].speaker SPEAKER_06
transcript.pyannote[1637].start 9839.97846875
transcript.pyannote[1637].end 9841.14284375
transcript.pyannote[1638].speaker SPEAKER_12
transcript.pyannote[1638].start 9841.14284375
transcript.pyannote[1638].end 9842.00346875
transcript.pyannote[1639].speaker SPEAKER_06
transcript.pyannote[1639].start 9844.66971875
transcript.pyannote[1639].end 9844.80471875
transcript.pyannote[1640].speaker SPEAKER_12
transcript.pyannote[1640].start 9844.80471875
transcript.pyannote[1640].end 9844.82159375
transcript.pyannote[1641].speaker SPEAKER_08
transcript.pyannote[1641].start 9845.14221875
transcript.pyannote[1641].end 9849.02346875
transcript.pyannote[1642].speaker SPEAKER_12
transcript.pyannote[1642].start 9847.57221875
transcript.pyannote[1642].end 9854.30534375
transcript.pyannote[1643].speaker SPEAKER_20
transcript.pyannote[1643].start 9855.06471875
transcript.pyannote[1643].end 9861.69659375
transcript.pyannote[1644].speaker SPEAKER_12
transcript.pyannote[1644].start 9862.06784375
transcript.pyannote[1644].end 9869.64471875
transcript.pyannote[1645].speaker SPEAKER_20
transcript.pyannote[1645].start 9871.23096875
transcript.pyannote[1645].end 9876.19221875
transcript.pyannote[1646].speaker SPEAKER_20
transcript.pyannote[1646].start 9876.52971875
transcript.pyannote[1646].end 9877.03596875
transcript.pyannote[1647].speaker SPEAKER_12
transcript.pyannote[1647].start 9877.03596875
transcript.pyannote[1647].end 9877.15409375
transcript.pyannote[1648].speaker SPEAKER_20
transcript.pyannote[1648].start 9877.15409375
transcript.pyannote[1648].end 9877.33971875
transcript.pyannote[1649].speaker SPEAKER_12
transcript.pyannote[1649].start 9877.33971875
transcript.pyannote[1649].end 9877.96409375
transcript.pyannote[1650].speaker SPEAKER_20
transcript.pyannote[1650].start 9877.96409375
transcript.pyannote[1650].end 9878.03159375
transcript.pyannote[1651].speaker SPEAKER_12
transcript.pyannote[1651].start 9878.03159375
transcript.pyannote[1651].end 9878.92596875
transcript.pyannote[1652].speaker SPEAKER_20
transcript.pyannote[1652].start 9878.92596875
transcript.pyannote[1652].end 9878.94284375
transcript.pyannote[1653].speaker SPEAKER_12
transcript.pyannote[1653].start 9878.94284375
transcript.pyannote[1653].end 9878.95971875
transcript.pyannote[1654].speaker SPEAKER_20
transcript.pyannote[1654].start 9879.63471875
transcript.pyannote[1654].end 9884.64659375
transcript.pyannote[1655].speaker SPEAKER_20
transcript.pyannote[1655].start 9884.95034375
transcript.pyannote[1655].end 9888.10596875
transcript.pyannote[1656].speaker SPEAKER_20
transcript.pyannote[1656].start 9888.32534375
transcript.pyannote[1656].end 9889.67534375
transcript.pyannote[1657].speaker SPEAKER_20
transcript.pyannote[1657].start 9889.94534375
transcript.pyannote[1657].end 9893.35409375
transcript.pyannote[1658].speaker SPEAKER_20
transcript.pyannote[1658].start 9893.65784375
transcript.pyannote[1658].end 9898.41659375
transcript.pyannote[1659].speaker SPEAKER_12
transcript.pyannote[1659].start 9898.65284375
transcript.pyannote[1659].end 9903.66471875
transcript.pyannote[1660].speaker SPEAKER_20
transcript.pyannote[1660].start 9904.12034375
transcript.pyannote[1660].end 9906.68534375
transcript.pyannote[1661].speaker SPEAKER_12
transcript.pyannote[1661].start 9907.25909375
transcript.pyannote[1661].end 9915.73034375
transcript.pyannote[1662].speaker SPEAKER_12
transcript.pyannote[1662].start 9916.21971875
transcript.pyannote[1662].end 9919.15596875
transcript.pyannote[1663].speaker SPEAKER_12
transcript.pyannote[1663].start 9919.83096875
transcript.pyannote[1663].end 9924.26909375
transcript.pyannote[1664].speaker SPEAKER_20
transcript.pyannote[1664].start 9920.13471875
transcript.pyannote[1664].end 9923.59409375
transcript.pyannote[1665].speaker SPEAKER_20
transcript.pyannote[1665].start 9924.26909375
transcript.pyannote[1665].end 9930.12471875
transcript.pyannote[1666].speaker SPEAKER_20
transcript.pyannote[1666].start 9930.25971875
transcript.pyannote[1666].end 9933.19596875
transcript.pyannote[1667].speaker SPEAKER_20
transcript.pyannote[1667].start 9933.68534375
transcript.pyannote[1667].end 9933.70221875
transcript.pyannote[1668].speaker SPEAKER_12
transcript.pyannote[1668].start 9933.70221875
transcript.pyannote[1668].end 9936.38534375
transcript.pyannote[1669].speaker SPEAKER_12
transcript.pyannote[1669].start 9936.73971875
transcript.pyannote[1669].end 9948.01221875
transcript.pyannote[1670].speaker SPEAKER_12
transcript.pyannote[1670].start 9948.11346875
transcript.pyannote[1670].end 9955.42034375
transcript.pyannote[1671].speaker SPEAKER_06
transcript.pyannote[1671].start 9955.25159375
transcript.pyannote[1671].end 9965.14034375
transcript.pyannote[1672].speaker SPEAKER_06
transcript.pyannote[1672].start 9965.61284375
transcript.pyannote[1672].end 9985.35659375
transcript.pyannote[1673].speaker SPEAKER_12
transcript.pyannote[1673].start 9985.81221875
transcript.pyannote[1673].end 9995.76846875
transcript.pyannote[1674].speaker SPEAKER_06
transcript.pyannote[1674].start 9996.15659375
transcript.pyannote[1674].end 10000.27409375
transcript.pyannote[1675].speaker SPEAKER_06
transcript.pyannote[1675].start 10000.74659375
transcript.pyannote[1675].end 10005.69096875
transcript.pyannote[1676].speaker SPEAKER_06
transcript.pyannote[1676].start 10005.97784375
transcript.pyannote[1676].end 10012.15409375
transcript.pyannote[1677].speaker SPEAKER_12
transcript.pyannote[1677].start 10012.66034375
transcript.pyannote[1677].end 10024.62471875
transcript.pyannote[1678].speaker SPEAKER_06
transcript.pyannote[1678].start 10025.21534375
transcript.pyannote[1678].end 10030.73346875
transcript.pyannote[1679].speaker SPEAKER_06
transcript.pyannote[1679].start 10031.10471875
transcript.pyannote[1679].end 10069.52909375
transcript.pyannote[1680].speaker SPEAKER_12
transcript.pyannote[1680].start 10069.98471875
transcript.pyannote[1680].end 10079.41784375
transcript.pyannote[1681].speaker SPEAKER_12
transcript.pyannote[1681].start 10086.97784375
transcript.pyannote[1681].end 10098.21659375
transcript.pyannote[1682].speaker SPEAKER_12
transcript.pyannote[1682].start 10098.75659375
transcript.pyannote[1682].end 10108.76346875
transcript.pyannote[1683].speaker SPEAKER_15
transcript.pyannote[1683].start 10106.16471875
transcript.pyannote[1683].end 10106.58659375
transcript.pyannote[1684].speaker SPEAKER_00
transcript.pyannote[1684].start 10106.58659375
transcript.pyannote[1684].end 10106.63721875
transcript.pyannote[1685].speaker SPEAKER_12
transcript.pyannote[1685].start 10109.15159375
transcript.pyannote[1685].end 10119.95159375
transcript.pyannote[1686].speaker SPEAKER_12
transcript.pyannote[1686].start 10120.57596875
transcript.pyannote[1686].end 10124.84534375
transcript.pyannote[1687].speaker SPEAKER_14
transcript.pyannote[1687].start 10125.41909375
transcript.pyannote[1687].end 10151.99721875
transcript.pyannote[1688].speaker SPEAKER_12
transcript.pyannote[1688].start 10152.03096875
transcript.pyannote[1688].end 10160.90721875
transcript.pyannote[1689].speaker SPEAKER_14
transcript.pyannote[1689].start 10160.92409375
transcript.pyannote[1689].end 10187.83971875
transcript.pyannote[1690].speaker SPEAKER_12
transcript.pyannote[1690].start 10187.83971875
transcript.pyannote[1690].end 10195.55159375
transcript.pyannote[1691].speaker SPEAKER_14
transcript.pyannote[1691].start 10195.55159375
transcript.pyannote[1691].end 10213.84409375
transcript.pyannote[1692].speaker SPEAKER_12
transcript.pyannote[1692].start 10214.31659375
transcript.pyannote[1692].end 10229.28471875
transcript.pyannote[1693].speaker SPEAKER_14
transcript.pyannote[1693].start 10225.67346875
transcript.pyannote[1693].end 10225.82534375
transcript.pyannote[1694].speaker SPEAKER_14
transcript.pyannote[1694].start 10229.57159375
transcript.pyannote[1694].end 10230.43221875
transcript.pyannote[1695].speaker SPEAKER_12
transcript.pyannote[1695].start 10230.06096875
transcript.pyannote[1695].end 10234.51596875
transcript.pyannote[1696].speaker SPEAKER_14
transcript.pyannote[1696].start 10233.63846875
transcript.pyannote[1696].end 10234.26284375
transcript.pyannote[1697].speaker SPEAKER_14
transcript.pyannote[1697].start 10234.29659375
transcript.pyannote[1697].end 10234.43159375
transcript.pyannote[1698].speaker SPEAKER_14
transcript.pyannote[1698].start 10234.51596875
transcript.pyannote[1698].end 10248.04971875
transcript.pyannote[1699].speaker SPEAKER_12
transcript.pyannote[1699].start 10248.04971875
transcript.pyannote[1699].end 10254.41159375
transcript.pyannote[1700].speaker SPEAKER_14
transcript.pyannote[1700].start 10251.76221875
transcript.pyannote[1700].end 10252.04909375
transcript.pyannote[1701].speaker SPEAKER_05
transcript.pyannote[1701].start 10254.27659375
transcript.pyannote[1701].end 10255.89659375
transcript.pyannote[1702].speaker SPEAKER_12
transcript.pyannote[1702].start 10254.54659375
transcript.pyannote[1702].end 10255.06971875
transcript.pyannote[1703].speaker SPEAKER_05
transcript.pyannote[1703].start 10257.65159375
transcript.pyannote[1703].end 10259.69346875
transcript.pyannote[1704].speaker SPEAKER_05
transcript.pyannote[1704].start 10260.28409375
transcript.pyannote[1704].end 10262.91659375
transcript.pyannote[1705].speaker SPEAKER_15
transcript.pyannote[1705].start 10263.72659375
transcript.pyannote[1705].end 10263.89534375
transcript.pyannote[1706].speaker SPEAKER_15
transcript.pyannote[1706].start 10263.96284375
transcript.pyannote[1706].end 10264.01346875
transcript.pyannote[1707].speaker SPEAKER_16
transcript.pyannote[1707].start 10271.77596875
transcript.pyannote[1707].end 10277.81721875
transcript.pyannote[1708].speaker SPEAKER_16
transcript.pyannote[1708].start 10277.95221875
transcript.pyannote[1708].end 10277.96909375
transcript.pyannote[1709].speaker SPEAKER_05
transcript.pyannote[1709].start 10277.96909375
transcript.pyannote[1709].end 10280.43284375
transcript.pyannote[1710].speaker SPEAKER_16
transcript.pyannote[1710].start 10278.00284375
transcript.pyannote[1710].end 10278.01971875
transcript.pyannote[1711].speaker SPEAKER_16
transcript.pyannote[1711].start 10278.03659375
transcript.pyannote[1711].end 10278.08721875
transcript.pyannote[1712].speaker SPEAKER_16
transcript.pyannote[1712].start 10278.12096875
transcript.pyannote[1712].end 10278.34034375
transcript.pyannote[1713].speaker SPEAKER_05
transcript.pyannote[1713].start 10285.52909375
transcript.pyannote[1713].end 10285.93409375
transcript.pyannote[1714].speaker SPEAKER_16
transcript.pyannote[1714].start 10286.77784375
transcript.pyannote[1714].end 10287.72284375
transcript.pyannote[1715].speaker SPEAKER_16
transcript.pyannote[1715].start 10288.88721875
transcript.pyannote[1715].end 10290.11909375
transcript.pyannote[1716].speaker SPEAKER_16
transcript.pyannote[1716].start 10290.76034375
transcript.pyannote[1716].end 10291.23284375
transcript.pyannote[1717].speaker SPEAKER_16
transcript.pyannote[1717].start 10292.26221875
transcript.pyannote[1717].end 10292.80221875
transcript.pyannote[1718].speaker SPEAKER_16
transcript.pyannote[1718].start 10293.30846875
transcript.pyannote[1718].end 10294.03409375
transcript.pyannote[1719].speaker SPEAKER_16
transcript.pyannote[1719].start 10294.42221875
transcript.pyannote[1719].end 10296.31221875
transcript.pyannote[1720].speaker SPEAKER_00
transcript.pyannote[1720].start 10295.16471875
transcript.pyannote[1720].end 10295.82284375
transcript.pyannote[1721].speaker SPEAKER_16
transcript.pyannote[1721].start 10296.39659375
transcript.pyannote[1721].end 10304.76659375
transcript.pyannote[1722].speaker SPEAKER_16
transcript.pyannote[1722].start 10305.30659375
transcript.pyannote[1722].end 10308.36096875
transcript.pyannote[1723].speaker SPEAKER_16
transcript.pyannote[1723].start 10308.64784375
transcript.pyannote[1723].end 10313.18721875
transcript.pyannote[1724].speaker SPEAKER_16
transcript.pyannote[1724].start 10313.82846875
transcript.pyannote[1724].end 10314.50346875
transcript.pyannote[1725].speaker SPEAKER_16
transcript.pyannote[1725].start 10314.80721875
transcript.pyannote[1725].end 10317.96284375
transcript.pyannote[1726].speaker SPEAKER_16
transcript.pyannote[1726].start 10318.45221875
transcript.pyannote[1726].end 10320.64596875
transcript.pyannote[1727].speaker SPEAKER_16
transcript.pyannote[1727].start 10320.86534375
transcript.pyannote[1727].end 10323.86909375
transcript.pyannote[1728].speaker SPEAKER_16
transcript.pyannote[1728].start 10324.69596875
transcript.pyannote[1728].end 10326.19784375
transcript.pyannote[1729].speaker SPEAKER_16
transcript.pyannote[1729].start 10326.51846875
transcript.pyannote[1729].end 10328.32409375
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 10328.45909375
transcript.pyannote[1730].end 10329.96096875
transcript.pyannote[1731].speaker SPEAKER_16
transcript.pyannote[1731].start 10330.31534375
transcript.pyannote[1731].end 10346.27909375
transcript.pyannote[1732].speaker SPEAKER_16
transcript.pyannote[1732].start 10346.70096875
transcript.pyannote[1732].end 10347.84846875
transcript.pyannote[1733].speaker SPEAKER_16
transcript.pyannote[1733].start 10348.62471875
transcript.pyannote[1733].end 10352.75909375
transcript.pyannote[1734].speaker SPEAKER_16
transcript.pyannote[1734].start 10353.29909375
transcript.pyannote[1734].end 10357.11284375
transcript.pyannote[1735].speaker SPEAKER_16
transcript.pyannote[1735].start 10357.34909375
transcript.pyannote[1735].end 10358.68221875
transcript.pyannote[1736].speaker SPEAKER_16
transcript.pyannote[1736].start 10359.00284375
transcript.pyannote[1736].end 10360.21784375
transcript.pyannote[1737].speaker SPEAKER_16
transcript.pyannote[1737].start 10361.39909375
transcript.pyannote[1737].end 10362.04034375
transcript.pyannote[1738].speaker SPEAKER_16
transcript.pyannote[1738].start 10362.76596875
transcript.pyannote[1738].end 10368.57096875
transcript.pyannote[1739].speaker SPEAKER_16
transcript.pyannote[1739].start 10369.38096875
transcript.pyannote[1739].end 10373.22846875
transcript.pyannote[1740].speaker SPEAKER_16
transcript.pyannote[1740].start 10373.51534375
transcript.pyannote[1740].end 10380.02909375
transcript.pyannote[1741].speaker SPEAKER_16
transcript.pyannote[1741].start 10380.75471875
transcript.pyannote[1741].end 10382.40846875
transcript.pyannote[1742].speaker SPEAKER_16
transcript.pyannote[1742].start 10382.94846875
transcript.pyannote[1742].end 10402.45596875
transcript.pyannote[1743].speaker SPEAKER_14
transcript.pyannote[1743].start 10403.80596875
transcript.pyannote[1743].end 10436.32409375
transcript.pyannote[1744].speaker SPEAKER_14
transcript.pyannote[1744].start 10436.72909375
transcript.pyannote[1744].end 10455.56159375
transcript.pyannote[1745].speaker SPEAKER_16
transcript.pyannote[1745].start 10456.06784375
transcript.pyannote[1745].end 10458.93659375
transcript.pyannote[1746].speaker SPEAKER_16
transcript.pyannote[1746].start 10459.49346875
transcript.pyannote[1746].end 10472.74034375
transcript.pyannote[1747].speaker SPEAKER_16
transcript.pyannote[1747].start 10473.29721875
transcript.pyannote[1747].end 10477.81971875
transcript.pyannote[1748].speaker SPEAKER_16
transcript.pyannote[1748].start 10478.08971875
transcript.pyannote[1748].end 10482.62909375
transcript.pyannote[1749].speaker SPEAKER_16
transcript.pyannote[1749].start 10483.01721875
transcript.pyannote[1749].end 10500.98909375
transcript.pyannote[1750].speaker SPEAKER_16
transcript.pyannote[1750].start 10501.51221875
transcript.pyannote[1750].end 10507.04721875
transcript.pyannote[1751].speaker SPEAKER_16
transcript.pyannote[1751].start 10507.08096875
transcript.pyannote[1751].end 10507.63784375
transcript.pyannote[1752].speaker SPEAKER_14
transcript.pyannote[1752].start 10507.67159375
transcript.pyannote[1752].end 10508.29596875
transcript.pyannote[1753].speaker SPEAKER_16
transcript.pyannote[1753].start 10508.36346875
transcript.pyannote[1753].end 10512.27846875
transcript.pyannote[1754].speaker SPEAKER_16
transcript.pyannote[1754].start 10512.97034375
transcript.pyannote[1754].end 10516.91909375
transcript.pyannote[1755].speaker SPEAKER_16
transcript.pyannote[1755].start 10517.54346875
transcript.pyannote[1755].end 10520.73284375
transcript.pyannote[1756].speaker SPEAKER_16
transcript.pyannote[1756].start 10521.54284375
transcript.pyannote[1756].end 10522.30221875
transcript.pyannote[1757].speaker SPEAKER_16
transcript.pyannote[1757].start 10522.79159375
transcript.pyannote[1757].end 10533.32159375
transcript.pyannote[1758].speaker SPEAKER_16
transcript.pyannote[1758].start 10533.62534375
transcript.pyannote[1758].end 10534.45221875
transcript.pyannote[1759].speaker SPEAKER_16
transcript.pyannote[1759].start 10535.05971875
transcript.pyannote[1759].end 10537.27034375
transcript.pyannote[1760].speaker SPEAKER_16
transcript.pyannote[1760].start 10537.87784375
transcript.pyannote[1760].end 10544.07096875
transcript.pyannote[1761].speaker SPEAKER_16
transcript.pyannote[1761].start 10545.04971875
transcript.pyannote[1761].end 10546.29846875
transcript.pyannote[1762].speaker SPEAKER_16
transcript.pyannote[1762].start 10546.65284375
transcript.pyannote[1762].end 10548.37409375
transcript.pyannote[1763].speaker SPEAKER_16
transcript.pyannote[1763].start 10548.94784375
transcript.pyannote[1763].end 10555.79909375
transcript.pyannote[1764].speaker SPEAKER_16
transcript.pyannote[1764].start 10556.28846875
transcript.pyannote[1764].end 10559.86596875
transcript.pyannote[1765].speaker SPEAKER_16
transcript.pyannote[1765].start 10561.24971875
transcript.pyannote[1765].end 10562.75159375
transcript.pyannote[1766].speaker SPEAKER_16
transcript.pyannote[1766].start 10562.90346875
transcript.pyannote[1766].end 10564.65846875
transcript.pyannote[1767].speaker SPEAKER_16
transcript.pyannote[1767].start 10565.40096875
transcript.pyannote[1767].end 10566.53159375
transcript.pyannote[1768].speaker SPEAKER_16
transcript.pyannote[1768].start 10568.10096875
transcript.pyannote[1768].end 10570.51409375
transcript.pyannote[1769].speaker SPEAKER_16
transcript.pyannote[1769].start 10570.71659375
transcript.pyannote[1769].end 10572.67409375
transcript.pyannote[1770].speaker SPEAKER_16
transcript.pyannote[1770].start 10573.45034375
transcript.pyannote[1770].end 10586.64659375
transcript.pyannote[1771].speaker SPEAKER_16
transcript.pyannote[1771].start 10587.05159375
transcript.pyannote[1771].end 10589.63346875
transcript.pyannote[1772].speaker SPEAKER_16
transcript.pyannote[1772].start 10590.07221875
transcript.pyannote[1772].end 10591.03409375
transcript.pyannote[1773].speaker SPEAKER_16
transcript.pyannote[1773].start 10592.28284375
transcript.pyannote[1773].end 10593.24471875
transcript.pyannote[1774].speaker SPEAKER_16
transcript.pyannote[1774].start 10593.36284375
transcript.pyannote[1774].end 10599.85971875
transcript.pyannote[1775].speaker SPEAKER_16
transcript.pyannote[1775].start 10600.24784375
transcript.pyannote[1775].end 10606.94721875
transcript.pyannote[1776].speaker SPEAKER_16
transcript.pyannote[1776].start 10607.62221875
transcript.pyannote[1776].end 10612.70159375
transcript.pyannote[1777].speaker SPEAKER_16
transcript.pyannote[1777].start 10613.74784375
transcript.pyannote[1777].end 10616.76846875
transcript.pyannote[1778].speaker SPEAKER_16
transcript.pyannote[1778].start 10617.39284375
transcript.pyannote[1778].end 10618.94534375
transcript.pyannote[1779].speaker SPEAKER_16
transcript.pyannote[1779].start 10620.07596875
transcript.pyannote[1779].end 10623.41721875
transcript.pyannote[1780].speaker SPEAKER_16
transcript.pyannote[1780].start 10624.12596875
transcript.pyannote[1780].end 10625.44221875
transcript.pyannote[1781].speaker SPEAKER_16
transcript.pyannote[1781].start 10625.93159375
transcript.pyannote[1781].end 10626.52221875
transcript.pyannote[1782].speaker SPEAKER_14
transcript.pyannote[1782].start 10626.62346875
transcript.pyannote[1782].end 10667.03909375
transcript.pyannote[1783].speaker SPEAKER_16
transcript.pyannote[1783].start 10666.60034375
transcript.pyannote[1783].end 10666.85346875
transcript.pyannote[1784].speaker SPEAKER_16
transcript.pyannote[1784].start 10667.03909375
transcript.pyannote[1784].end 10667.05596875
transcript.pyannote[1785].speaker SPEAKER_14
transcript.pyannote[1785].start 10667.05596875
transcript.pyannote[1785].end 10667.08971875
transcript.pyannote[1786].speaker SPEAKER_16
transcript.pyannote[1786].start 10667.08971875
transcript.pyannote[1786].end 10667.12346875
transcript.pyannote[1787].speaker SPEAKER_14
transcript.pyannote[1787].start 10667.12346875
transcript.pyannote[1787].end 10667.14034375
transcript.pyannote[1788].speaker SPEAKER_16
transcript.pyannote[1788].start 10667.17409375
transcript.pyannote[1788].end 10670.48159375
transcript.pyannote[1789].speaker SPEAKER_14
transcript.pyannote[1789].start 10670.48159375
transcript.pyannote[1789].end 10671.02159375
transcript.pyannote[1790].speaker SPEAKER_16
transcript.pyannote[1790].start 10670.49846875
transcript.pyannote[1790].end 10681.78784375
transcript.pyannote[1791].speaker SPEAKER_16
transcript.pyannote[1791].start 10682.24346875
transcript.pyannote[1791].end 10687.05284375
transcript.pyannote[1792].speaker SPEAKER_16
transcript.pyannote[1792].start 10687.17096875
transcript.pyannote[1792].end 10695.65909375
transcript.pyannote[1793].speaker SPEAKER_14
transcript.pyannote[1793].start 10689.92159375
transcript.pyannote[1793].end 10691.99721875
transcript.pyannote[1794].speaker SPEAKER_14
transcript.pyannote[1794].start 10695.77721875
transcript.pyannote[1794].end 10698.62909375
transcript.pyannote[1795].speaker SPEAKER_16
transcript.pyannote[1795].start 10696.06409375
transcript.pyannote[1795].end 10696.53659375
transcript.pyannote[1796].speaker SPEAKER_16
transcript.pyannote[1796].start 10697.44784375
transcript.pyannote[1796].end 10730.26971875
transcript.pyannote[1797].speaker SPEAKER_14
transcript.pyannote[1797].start 10702.94909375
transcript.pyannote[1797].end 10702.96596875
transcript.pyannote[1798].speaker SPEAKER_16
transcript.pyannote[1798].start 10730.84346875
transcript.pyannote[1798].end 10731.80534375
transcript.pyannote[1799].speaker SPEAKER_16
transcript.pyannote[1799].start 10732.29471875
transcript.pyannote[1799].end 10733.91471875
transcript.pyannote[1800].speaker SPEAKER_16
transcript.pyannote[1800].start 10734.01596875
transcript.pyannote[1800].end 10742.57159375
transcript.pyannote[1801].speaker SPEAKER_16
transcript.pyannote[1801].start 10742.79096875
transcript.pyannote[1801].end 10744.71471875
transcript.pyannote[1802].speaker SPEAKER_16
transcript.pyannote[1802].start 10745.38971875
transcript.pyannote[1802].end 10746.79034375
transcript.pyannote[1803].speaker SPEAKER_16
transcript.pyannote[1803].start 10747.41471875
transcript.pyannote[1803].end 10761.06659375
transcript.pyannote[1804].speaker SPEAKER_16
transcript.pyannote[1804].start 10761.74159375
transcript.pyannote[1804].end 10770.92159375
transcript.pyannote[1805].speaker SPEAKER_16
transcript.pyannote[1805].start 10771.36034375
transcript.pyannote[1805].end 10772.03534375
transcript.pyannote[1806].speaker SPEAKER_16
transcript.pyannote[1806].start 10772.18721875
transcript.pyannote[1806].end 10773.06471875
transcript.pyannote[1807].speaker SPEAKER_16
transcript.pyannote[1807].start 10773.70596875
transcript.pyannote[1807].end 10774.14471875
transcript.pyannote[1808].speaker SPEAKER_05
transcript.pyannote[1808].start 10775.05596875
transcript.pyannote[1808].end 10775.12346875
transcript.pyannote[1809].speaker SPEAKER_16
transcript.pyannote[1809].start 10775.56221875
transcript.pyannote[1809].end 10776.38909375
transcript.pyannote[1810].speaker SPEAKER_05
transcript.pyannote[1810].start 10776.38909375
transcript.pyannote[1810].end 10777.24971875
transcript.pyannote[1811].speaker SPEAKER_05
transcript.pyannote[1811].start 10777.99221875
transcript.pyannote[1811].end 10781.31659375
transcript.pyannote[1812].speaker SPEAKER_05
transcript.pyannote[1812].start 10782.10971875
transcript.pyannote[1812].end 10788.37034375
transcript.pyannote[1813].speaker SPEAKER_02
transcript.pyannote[1813].start 10798.44471875
transcript.pyannote[1813].end 10798.79909375
transcript.pyannote[1814].speaker SPEAKER_02
transcript.pyannote[1814].start 10799.33909375
transcript.pyannote[1814].end 10805.76846875
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 10806.32534375
transcript.pyannote[1815].end 10808.62034375
transcript.pyannote[1816].speaker SPEAKER_02
transcript.pyannote[1816].start 10814.67846875
transcript.pyannote[1816].end 10815.10034375
transcript.pyannote[1817].speaker SPEAKER_02
transcript.pyannote[1817].start 10815.57284375
transcript.pyannote[1817].end 10819.40346875
transcript.pyannote[1818].speaker SPEAKER_02
transcript.pyannote[1818].start 10820.09534375
transcript.pyannote[1818].end 10826.25471875
transcript.pyannote[1819].speaker SPEAKER_02
transcript.pyannote[1819].start 10826.49096875
transcript.pyannote[1819].end 10829.91659375
transcript.pyannote[1820].speaker SPEAKER_15
transcript.pyannote[1820].start 10829.91659375
transcript.pyannote[1820].end 10830.28784375
transcript.pyannote[1821].speaker SPEAKER_02
transcript.pyannote[1821].start 10830.22034375
transcript.pyannote[1821].end 10837.71284375
transcript.pyannote[1822].speaker SPEAKER_02
transcript.pyannote[1822].start 10838.13471875
transcript.pyannote[1822].end 10838.91096875
transcript.pyannote[1823].speaker SPEAKER_02
transcript.pyannote[1823].start 10839.11346875
transcript.pyannote[1823].end 10841.03721875
transcript.pyannote[1824].speaker SPEAKER_02
transcript.pyannote[1824].start 10841.94846875
transcript.pyannote[1824].end 10844.17596875
transcript.pyannote[1825].speaker SPEAKER_02
transcript.pyannote[1825].start 10844.37846875
transcript.pyannote[1825].end 10850.95971875
transcript.pyannote[1826].speaker SPEAKER_02
transcript.pyannote[1826].start 10851.39846875
transcript.pyannote[1826].end 10853.65971875
transcript.pyannote[1827].speaker SPEAKER_02
transcript.pyannote[1827].start 10854.06471875
transcript.pyannote[1827].end 10854.94221875
transcript.pyannote[1828].speaker SPEAKER_14
transcript.pyannote[1828].start 10854.14909375
transcript.pyannote[1828].end 10862.16471875
transcript.pyannote[1829].speaker SPEAKER_14
transcript.pyannote[1829].start 10863.83534375
transcript.pyannote[1829].end 10865.86034375
transcript.pyannote[1830].speaker SPEAKER_02
transcript.pyannote[1830].start 10865.25284375
transcript.pyannote[1830].end 10865.38784375
transcript.pyannote[1831].speaker SPEAKER_02
transcript.pyannote[1831].start 10865.86034375
transcript.pyannote[1831].end 10865.91096875
transcript.pyannote[1832].speaker SPEAKER_14
transcript.pyannote[1832].start 10865.91096875
transcript.pyannote[1832].end 10866.04596875
transcript.pyannote[1833].speaker SPEAKER_02
transcript.pyannote[1833].start 10866.04596875
transcript.pyannote[1833].end 10866.06284375
transcript.pyannote[1834].speaker SPEAKER_14
transcript.pyannote[1834].start 10866.58596875
transcript.pyannote[1834].end 10868.54346875
transcript.pyannote[1835].speaker SPEAKER_02
transcript.pyannote[1835].start 10868.12159375
transcript.pyannote[1835].end 10870.66971875
transcript.pyannote[1836].speaker SPEAKER_14
transcript.pyannote[1836].start 10871.32784375
transcript.pyannote[1836].end 10876.82909375
transcript.pyannote[1837].speaker SPEAKER_02
transcript.pyannote[1837].start 10871.51346875
transcript.pyannote[1837].end 10873.21784375
transcript.pyannote[1838].speaker SPEAKER_02
transcript.pyannote[1838].start 10875.15846875
transcript.pyannote[1838].end 10875.59721875
transcript.pyannote[1839].speaker SPEAKER_02
transcript.pyannote[1839].start 10876.47471875
transcript.pyannote[1839].end 10898.22659375
transcript.pyannote[1840].speaker SPEAKER_15
transcript.pyannote[1840].start 10885.89096875
transcript.pyannote[1840].end 10885.95846875
transcript.pyannote[1841].speaker SPEAKER_02
transcript.pyannote[1841].start 10899.00284375
transcript.pyannote[1841].end 10899.96471875
transcript.pyannote[1842].speaker SPEAKER_14
transcript.pyannote[1842].start 10899.96471875
transcript.pyannote[1842].end 10903.77846875
transcript.pyannote[1843].speaker SPEAKER_14
transcript.pyannote[1843].start 10904.35221875
transcript.pyannote[1843].end 10911.82784375
transcript.pyannote[1844].speaker SPEAKER_02
transcript.pyannote[1844].start 10912.26659375
transcript.pyannote[1844].end 10918.93221875
transcript.pyannote[1845].speaker SPEAKER_02
transcript.pyannote[1845].start 10918.96596875
transcript.pyannote[1845].end 10919.86034375
transcript.pyannote[1846].speaker SPEAKER_02
transcript.pyannote[1846].start 10920.28221875
transcript.pyannote[1846].end 10922.74596875
transcript.pyannote[1847].speaker SPEAKER_02
transcript.pyannote[1847].start 10923.06659375
transcript.pyannote[1847].end 10926.20534375
transcript.pyannote[1848].speaker SPEAKER_02
transcript.pyannote[1848].start 10926.82971875
transcript.pyannote[1848].end 10927.87596875
transcript.pyannote[1849].speaker SPEAKER_02
transcript.pyannote[1849].start 10928.12909375
transcript.pyannote[1849].end 10932.75284375
transcript.pyannote[1850].speaker SPEAKER_02
transcript.pyannote[1850].start 10933.15784375
transcript.pyannote[1850].end 10945.72971875
transcript.pyannote[1851].speaker SPEAKER_14
transcript.pyannote[1851].start 10945.72971875
transcript.pyannote[1851].end 10999.39221875
transcript.pyannote[1852].speaker SPEAKER_14
transcript.pyannote[1852].start 10999.52721875
transcript.pyannote[1852].end 10999.66221875
transcript.pyannote[1853].speaker SPEAKER_02
transcript.pyannote[1853].start 10999.66221875
transcript.pyannote[1853].end 10999.72971875
transcript.pyannote[1854].speaker SPEAKER_14
transcript.pyannote[1854].start 10999.72971875
transcript.pyannote[1854].end 10999.86471875
transcript.pyannote[1855].speaker SPEAKER_02
transcript.pyannote[1855].start 10999.86471875
transcript.pyannote[1855].end 10999.91534375
transcript.pyannote[1856].speaker SPEAKER_14
transcript.pyannote[1856].start 10999.91534375
transcript.pyannote[1856].end 11000.26971875
transcript.pyannote[1857].speaker SPEAKER_02
transcript.pyannote[1857].start 11000.26971875
transcript.pyannote[1857].end 11018.88284375
transcript.pyannote[1858].speaker SPEAKER_14
transcript.pyannote[1858].start 11000.38784375
transcript.pyannote[1858].end 11000.55659375
transcript.pyannote[1859].speaker SPEAKER_15
transcript.pyannote[1859].start 11018.64659375
transcript.pyannote[1859].end 11018.69721875
transcript.pyannote[1860].speaker SPEAKER_15
transcript.pyannote[1860].start 11018.88284375
transcript.pyannote[1860].end 11019.38909375
transcript.pyannote[1861].speaker SPEAKER_02
transcript.pyannote[1861].start 11018.96721875
transcript.pyannote[1861].end 11021.95409375
transcript.pyannote[1862].speaker SPEAKER_15
transcript.pyannote[1862].start 11021.95409375
transcript.pyannote[1862].end 11022.37596875
transcript.pyannote[1863].speaker SPEAKER_02
transcript.pyannote[1863].start 11022.30846875
transcript.pyannote[1863].end 11022.67971875
transcript.pyannote[1864].speaker SPEAKER_02
transcript.pyannote[1864].start 11023.25346875
transcript.pyannote[1864].end 11027.74221875
transcript.pyannote[1865].speaker SPEAKER_02
transcript.pyannote[1865].start 11028.14721875
transcript.pyannote[1865].end 11028.63659375
transcript.pyannote[1866].speaker SPEAKER_02
transcript.pyannote[1866].start 11030.50971875
transcript.pyannote[1866].end 11030.98221875
transcript.pyannote[1867].speaker SPEAKER_02
transcript.pyannote[1867].start 11031.60659375
transcript.pyannote[1867].end 11034.22221875
transcript.pyannote[1868].speaker SPEAKER_02
transcript.pyannote[1868].start 11034.39096875
transcript.pyannote[1868].end 11044.53284375
transcript.pyannote[1869].speaker SPEAKER_02
transcript.pyannote[1869].start 11045.19096875
transcript.pyannote[1869].end 11054.25284375
transcript.pyannote[1870].speaker SPEAKER_14
transcript.pyannote[1870].start 11053.74659375
transcript.pyannote[1870].end 11060.90159375
transcript.pyannote[1871].speaker SPEAKER_02
transcript.pyannote[1871].start 11060.36159375
transcript.pyannote[1871].end 11083.86846875
transcript.pyannote[1872].speaker SPEAKER_02
transcript.pyannote[1872].start 11084.42534375
transcript.pyannote[1872].end 11085.75846875
transcript.pyannote[1873].speaker SPEAKER_02
transcript.pyannote[1873].start 11085.99471875
transcript.pyannote[1873].end 11087.47971875
transcript.pyannote[1874].speaker SPEAKER_02
transcript.pyannote[1874].start 11087.71596875
transcript.pyannote[1874].end 11094.53346875
transcript.pyannote[1875].speaker SPEAKER_00
transcript.pyannote[1875].start 11090.41596875
transcript.pyannote[1875].end 11090.50034375
transcript.pyannote[1876].speaker SPEAKER_02
transcript.pyannote[1876].start 11094.75284375
transcript.pyannote[1876].end 11100.35534375
transcript.pyannote[1877].speaker SPEAKER_15
transcript.pyannote[1877].start 11100.89534375
transcript.pyannote[1877].end 11101.03034375
transcript.pyannote[1878].speaker SPEAKER_07
transcript.pyannote[1878].start 11101.03034375
transcript.pyannote[1878].end 11102.98784375
transcript.pyannote[1879].speaker SPEAKER_02
transcript.pyannote[1879].start 11101.23284375
transcript.pyannote[1879].end 11101.72221875
transcript.pyannote[1880].speaker SPEAKER_02
transcript.pyannote[1880].start 11102.21159375
transcript.pyannote[1880].end 11102.97096875
transcript.pyannote[1881].speaker SPEAKER_02
transcript.pyannote[1881].start 11102.98784375
transcript.pyannote[1881].end 11103.03846875
transcript.pyannote[1882].speaker SPEAKER_07
transcript.pyannote[1882].start 11103.03846875
transcript.pyannote[1882].end 11105.97471875
transcript.pyannote[1883].speaker SPEAKER_02
transcript.pyannote[1883].start 11106.58221875
transcript.pyannote[1883].end 11106.75096875
transcript.pyannote[1884].speaker SPEAKER_02
transcript.pyannote[1884].start 11107.05471875
transcript.pyannote[1884].end 11116.31909375
transcript.pyannote[1885].speaker SPEAKER_02
transcript.pyannote[1885].start 11116.48784375
transcript.pyannote[1885].end 11117.97284375
transcript.pyannote[1886].speaker SPEAKER_02
transcript.pyannote[1886].start 11118.24284375
transcript.pyannote[1886].end 11124.92534375
transcript.pyannote[1887].speaker SPEAKER_02
transcript.pyannote[1887].start 11125.09409375
transcript.pyannote[1887].end 11127.27096875
transcript.pyannote[1888].speaker SPEAKER_07
transcript.pyannote[1888].start 11126.30909375
transcript.pyannote[1888].end 11126.39346875
transcript.pyannote[1889].speaker SPEAKER_07
transcript.pyannote[1889].start 11127.05159375
transcript.pyannote[1889].end 11127.13596875
transcript.pyannote[1890].speaker SPEAKER_07
transcript.pyannote[1890].start 11127.27096875
transcript.pyannote[1890].end 11140.45034375
transcript.pyannote[1891].speaker SPEAKER_02
transcript.pyannote[1891].start 11135.08409375
transcript.pyannote[1891].end 11135.70846875
transcript.pyannote[1892].speaker SPEAKER_02
transcript.pyannote[1892].start 11139.84284375
transcript.pyannote[1892].end 11146.22159375
transcript.pyannote[1893].speaker SPEAKER_02
transcript.pyannote[1893].start 11146.81221875
transcript.pyannote[1893].end 11149.76534375
transcript.pyannote[1894].speaker SPEAKER_02
transcript.pyannote[1894].start 11149.90034375
transcript.pyannote[1894].end 11150.89596875
transcript.pyannote[1895].speaker SPEAKER_02
transcript.pyannote[1895].start 11151.36846875
transcript.pyannote[1895].end 11152.78596875
transcript.pyannote[1896].speaker SPEAKER_02
transcript.pyannote[1896].start 11153.54534375
transcript.pyannote[1896].end 11155.19909375
transcript.pyannote[1897].speaker SPEAKER_07
transcript.pyannote[1897].start 11155.19909375
transcript.pyannote[1897].end 11158.55721875
transcript.pyannote[1898].speaker SPEAKER_07
transcript.pyannote[1898].start 11158.75971875
transcript.pyannote[1898].end 11159.90721875
transcript.pyannote[1899].speaker SPEAKER_07
transcript.pyannote[1899].start 11160.14346875
transcript.pyannote[1899].end 11171.66909375
transcript.pyannote[1900].speaker SPEAKER_02
transcript.pyannote[1900].start 11171.66909375
transcript.pyannote[1900].end 11174.23409375
transcript.pyannote[1901].speaker SPEAKER_02
transcript.pyannote[1901].start 11174.58846875
transcript.pyannote[1901].end 11175.95534375
transcript.pyannote[1902].speaker SPEAKER_07
transcript.pyannote[1902].start 11175.95534375
transcript.pyannote[1902].end 11176.49534375
transcript.pyannote[1903].speaker SPEAKER_02
transcript.pyannote[1903].start 11176.30971875
transcript.pyannote[1903].end 11182.85721875
transcript.pyannote[1904].speaker SPEAKER_07
transcript.pyannote[1904].start 11176.73159375
transcript.pyannote[1904].end 11178.03096875
transcript.pyannote[1905].speaker SPEAKER_07
transcript.pyannote[1905].start 11181.99659375
transcript.pyannote[1905].end 11182.26659375
transcript.pyannote[1906].speaker SPEAKER_07
transcript.pyannote[1906].start 11182.85721875
transcript.pyannote[1906].end 11209.08096875
transcript.pyannote[1907].speaker SPEAKER_07
transcript.pyannote[1907].start 11209.23284375
transcript.pyannote[1907].end 11213.16471875
transcript.pyannote[1908].speaker SPEAKER_02
transcript.pyannote[1908].start 11213.16471875
transcript.pyannote[1908].end 11228.48721875
transcript.pyannote[1909].speaker SPEAKER_02
transcript.pyannote[1909].start 11228.82471875
transcript.pyannote[1909].end 11230.09034375
transcript.pyannote[1910].speaker SPEAKER_02
transcript.pyannote[1910].start 11231.35596875
transcript.pyannote[1910].end 11232.62159375
transcript.pyannote[1911].speaker SPEAKER_05
transcript.pyannote[1911].start 11232.87471875
transcript.pyannote[1911].end 11234.47784375
transcript.pyannote[1912].speaker SPEAKER_02
transcript.pyannote[1912].start 11234.12346875
transcript.pyannote[1912].end 11235.89534375
transcript.pyannote[1913].speaker SPEAKER_05
transcript.pyannote[1913].start 11236.97534375
transcript.pyannote[1913].end 11239.92846875
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 11241.24471875
transcript.pyannote[1914].end 11243.52284375
transcript.pyannote[1915].speaker SPEAKER_18
transcript.pyannote[1915].start 11253.34409375
transcript.pyannote[1915].end 11255.16659375
transcript.pyannote[1916].speaker SPEAKER_18
transcript.pyannote[1916].start 11255.60534375
transcript.pyannote[1916].end 11259.09846875
transcript.pyannote[1917].speaker SPEAKER_18
transcript.pyannote[1917].start 11259.60471875
transcript.pyannote[1917].end 11260.97159375
transcript.pyannote[1918].speaker SPEAKER_05
transcript.pyannote[1918].start 11260.97159375
transcript.pyannote[1918].end 11261.03909375
transcript.pyannote[1919].speaker SPEAKER_18
transcript.pyannote[1919].start 11261.03909375
transcript.pyannote[1919].end 11261.07284375
transcript.pyannote[1920].speaker SPEAKER_05
transcript.pyannote[1920].start 11261.07284375
transcript.pyannote[1920].end 11261.10659375
transcript.pyannote[1921].speaker SPEAKER_18
transcript.pyannote[1921].start 11261.10659375
transcript.pyannote[1921].end 11261.30909375
transcript.pyannote[1922].speaker SPEAKER_05
transcript.pyannote[1922].start 11261.30909375
transcript.pyannote[1922].end 11261.41034375
transcript.pyannote[1923].speaker SPEAKER_14
transcript.pyannote[1923].start 11266.47284375
transcript.pyannote[1923].end 11266.86096875
transcript.pyannote[1924].speaker SPEAKER_03
transcript.pyannote[1924].start 11266.86096875
transcript.pyannote[1924].end 11266.87784375
transcript.pyannote[1925].speaker SPEAKER_18
transcript.pyannote[1925].start 11267.63721875
transcript.pyannote[1925].end 11272.36221875
transcript.pyannote[1926].speaker SPEAKER_18
transcript.pyannote[1926].start 11273.20596875
transcript.pyannote[1926].end 11276.61471875
transcript.pyannote[1927].speaker SPEAKER_18
transcript.pyannote[1927].start 11276.68221875
transcript.pyannote[1927].end 11279.21346875
transcript.pyannote[1928].speaker SPEAKER_18
transcript.pyannote[1928].start 11279.50034375
transcript.pyannote[1928].end 11280.61409375
transcript.pyannote[1929].speaker SPEAKER_18
transcript.pyannote[1929].start 11281.57596875
transcript.pyannote[1929].end 11284.09034375
transcript.pyannote[1930].speaker SPEAKER_18
transcript.pyannote[1930].start 11284.49534375
transcript.pyannote[1930].end 11285.69346875
transcript.pyannote[1931].speaker SPEAKER_18
transcript.pyannote[1931].start 11286.21659375
transcript.pyannote[1931].end 11287.76909375
transcript.pyannote[1932].speaker SPEAKER_18
transcript.pyannote[1932].start 11288.19096875
transcript.pyannote[1932].end 11294.60346875
transcript.pyannote[1933].speaker SPEAKER_14
transcript.pyannote[1933].start 11295.07596875
transcript.pyannote[1933].end 11325.31596875
transcript.pyannote[1934].speaker SPEAKER_18
transcript.pyannote[1934].start 11308.44096875
transcript.pyannote[1934].end 11310.04409375
transcript.pyannote[1935].speaker SPEAKER_00
transcript.pyannote[1935].start 11313.67221875
transcript.pyannote[1935].end 11313.68909375
transcript.pyannote[1936].speaker SPEAKER_18
transcript.pyannote[1936].start 11313.68909375
transcript.pyannote[1936].end 11313.85784375
transcript.pyannote[1937].speaker SPEAKER_14
transcript.pyannote[1937].start 11325.83909375
transcript.pyannote[1937].end 11326.05846875
transcript.pyannote[1938].speaker SPEAKER_18
transcript.pyannote[1938].start 11326.31159375
transcript.pyannote[1938].end 11327.45909375
transcript.pyannote[1939].speaker SPEAKER_18
transcript.pyannote[1939].start 11329.09596875
transcript.pyannote[1939].end 11330.02409375
transcript.pyannote[1940].speaker SPEAKER_18
transcript.pyannote[1940].start 11330.12534375
transcript.pyannote[1940].end 11332.96034375
transcript.pyannote[1941].speaker SPEAKER_14
transcript.pyannote[1941].start 11330.26034375
transcript.pyannote[1941].end 11330.58096875
transcript.pyannote[1942].speaker SPEAKER_14
transcript.pyannote[1942].start 11333.53409375
transcript.pyannote[1942].end 11353.44659375
transcript.pyannote[1943].speaker SPEAKER_18
transcript.pyannote[1943].start 11341.02659375
transcript.pyannote[1943].end 11342.35971875
transcript.pyannote[1944].speaker SPEAKER_18
transcript.pyannote[1944].start 11342.62971875
transcript.pyannote[1944].end 11343.79409375
transcript.pyannote[1945].speaker SPEAKER_18
transcript.pyannote[1945].start 11347.91159375
transcript.pyannote[1945].end 11348.06346875
transcript.pyannote[1946].speaker SPEAKER_18
transcript.pyannote[1946].start 11352.99096875
transcript.pyannote[1946].end 11359.55534375
transcript.pyannote[1947].speaker SPEAKER_14
transcript.pyannote[1947].start 11359.75784375
transcript.pyannote[1947].end 11363.35221875
transcript.pyannote[1948].speaker SPEAKER_18
transcript.pyannote[1948].start 11363.77409375
transcript.pyannote[1948].end 11364.70221875
transcript.pyannote[1949].speaker SPEAKER_18
transcript.pyannote[1949].start 11365.29284375
transcript.pyannote[1949].end 11366.96346875
transcript.pyannote[1950].speaker SPEAKER_14
transcript.pyannote[1950].start 11367.65534375
transcript.pyannote[1950].end 11373.05534375
transcript.pyannote[1951].speaker SPEAKER_18
transcript.pyannote[1951].start 11373.05534375
transcript.pyannote[1951].end 11373.66284375
transcript.pyannote[1952].speaker SPEAKER_18
transcript.pyannote[1952].start 11375.28284375
transcript.pyannote[1952].end 11377.15596875
transcript.pyannote[1953].speaker SPEAKER_18
transcript.pyannote[1953].start 11377.67909375
transcript.pyannote[1953].end 11386.11659375
transcript.pyannote[1954].speaker SPEAKER_18
transcript.pyannote[1954].start 11386.63971875
transcript.pyannote[1954].end 11398.89096875
transcript.pyannote[1955].speaker SPEAKER_18
transcript.pyannote[1955].start 11399.16096875
transcript.pyannote[1955].end 11401.72596875
transcript.pyannote[1956].speaker SPEAKER_18
transcript.pyannote[1956].start 11402.40096875
transcript.pyannote[1956].end 11404.51034375
transcript.pyannote[1957].speaker SPEAKER_18
transcript.pyannote[1957].start 11404.96596875
transcript.pyannote[1957].end 11407.56471875
transcript.pyannote[1958].speaker SPEAKER_18
transcript.pyannote[1958].start 11408.08784375
transcript.pyannote[1958].end 11411.29409375
transcript.pyannote[1959].speaker SPEAKER_18
transcript.pyannote[1959].start 11411.85096875
transcript.pyannote[1959].end 11414.58471875
transcript.pyannote[1960].speaker SPEAKER_18
transcript.pyannote[1960].start 11415.12471875
transcript.pyannote[1960].end 11416.76159375
transcript.pyannote[1961].speaker SPEAKER_18
transcript.pyannote[1961].start 11417.09909375
transcript.pyannote[1961].end 11419.44471875
transcript.pyannote[1962].speaker SPEAKER_18
transcript.pyannote[1962].start 11419.59659375
transcript.pyannote[1962].end 11420.50784375
transcript.pyannote[1963].speaker SPEAKER_18
transcript.pyannote[1963].start 11420.87909375
transcript.pyannote[1963].end 11423.25846875
transcript.pyannote[1964].speaker SPEAKER_18
transcript.pyannote[1964].start 11423.54534375
transcript.pyannote[1964].end 11423.91659375
transcript.pyannote[1965].speaker SPEAKER_18
transcript.pyannote[1965].start 11424.05159375
transcript.pyannote[1965].end 11426.21159375
transcript.pyannote[1966].speaker SPEAKER_18
transcript.pyannote[1966].start 11427.00471875
transcript.pyannote[1966].end 11427.57846875
transcript.pyannote[1967].speaker SPEAKER_18
transcript.pyannote[1967].start 11428.32096875
transcript.pyannote[1967].end 11429.87346875
transcript.pyannote[1968].speaker SPEAKER_18
transcript.pyannote[1968].start 11430.44721875
transcript.pyannote[1968].end 11438.34471875
transcript.pyannote[1969].speaker SPEAKER_18
transcript.pyannote[1969].start 11438.74971875
transcript.pyannote[1969].end 11442.19221875
transcript.pyannote[1970].speaker SPEAKER_06
transcript.pyannote[1970].start 11444.14971875
transcript.pyannote[1970].end 11447.64284375
transcript.pyannote[1971].speaker SPEAKER_18
transcript.pyannote[1971].start 11447.64284375
transcript.pyannote[1971].end 11450.71409375
transcript.pyannote[1972].speaker SPEAKER_06
transcript.pyannote[1972].start 11451.59159375
transcript.pyannote[1972].end 11454.81471875
transcript.pyannote[1973].speaker SPEAKER_18
transcript.pyannote[1973].start 11453.68409375
transcript.pyannote[1973].end 11455.42221875
transcript.pyannote[1974].speaker SPEAKER_18
transcript.pyannote[1974].start 11455.69221875
transcript.pyannote[1974].end 11455.70909375
transcript.pyannote[1975].speaker SPEAKER_06
transcript.pyannote[1975].start 11455.70909375
transcript.pyannote[1975].end 11455.74284375
transcript.pyannote[1976].speaker SPEAKER_18
transcript.pyannote[1976].start 11455.74284375
transcript.pyannote[1976].end 11456.16471875
transcript.pyannote[1977].speaker SPEAKER_06
transcript.pyannote[1977].start 11455.79346875
transcript.pyannote[1977].end 11456.14784375
transcript.pyannote[1978].speaker SPEAKER_06
transcript.pyannote[1978].start 11456.16471875
transcript.pyannote[1978].end 11458.88159375
transcript.pyannote[1979].speaker SPEAKER_06
transcript.pyannote[1979].start 11459.65784375
transcript.pyannote[1979].end 11461.41284375
transcript.pyannote[1980].speaker SPEAKER_18
transcript.pyannote[1980].start 11462.03721875
transcript.pyannote[1980].end 11462.50971875
transcript.pyannote[1981].speaker SPEAKER_06
transcript.pyannote[1981].start 11462.50971875
transcript.pyannote[1981].end 11462.54346875
transcript.pyannote[1982].speaker SPEAKER_18
transcript.pyannote[1982].start 11462.54346875
transcript.pyannote[1982].end 11462.61096875
transcript.pyannote[1983].speaker SPEAKER_06
transcript.pyannote[1983].start 11462.61096875
transcript.pyannote[1983].end 11463.03284375
transcript.pyannote[1984].speaker SPEAKER_06
transcript.pyannote[1984].start 11463.70784375
transcript.pyannote[1984].end 11466.27284375
transcript.pyannote[1985].speaker SPEAKER_18
transcript.pyannote[1985].start 11466.05346875
transcript.pyannote[1985].end 11470.44096875
transcript.pyannote[1986].speaker SPEAKER_18
transcript.pyannote[1986].start 11471.18346875
transcript.pyannote[1986].end 11472.16221875
transcript.pyannote[1987].speaker SPEAKER_18
transcript.pyannote[1987].start 11472.46596875
transcript.pyannote[1987].end 11474.17034375
transcript.pyannote[1988].speaker SPEAKER_06
transcript.pyannote[1988].start 11474.22096875
transcript.pyannote[1988].end 11474.81159375
transcript.pyannote[1989].speaker SPEAKER_18
transcript.pyannote[1989].start 11474.87909375
transcript.pyannote[1989].end 11478.65909375
transcript.pyannote[1990].speaker SPEAKER_18
transcript.pyannote[1990].start 11479.14846875
transcript.pyannote[1990].end 11487.06284375
transcript.pyannote[1991].speaker SPEAKER_18
transcript.pyannote[1991].start 11487.51846875
transcript.pyannote[1991].end 11488.48034375
transcript.pyannote[1992].speaker SPEAKER_06
transcript.pyannote[1992].start 11489.66159375
transcript.pyannote[1992].end 11490.26909375
transcript.pyannote[1993].speaker SPEAKER_18
transcript.pyannote[1993].start 11490.13409375
transcript.pyannote[1993].end 11490.92721875
transcript.pyannote[1994].speaker SPEAKER_06
transcript.pyannote[1994].start 11491.99034375
transcript.pyannote[1994].end 11492.71596875
transcript.pyannote[1995].speaker SPEAKER_18
transcript.pyannote[1995].start 11492.17596875
transcript.pyannote[1995].end 11492.73284375
transcript.pyannote[1996].speaker SPEAKER_06
transcript.pyannote[1996].start 11492.73284375
transcript.pyannote[1996].end 11492.74971875
transcript.pyannote[1997].speaker SPEAKER_18
transcript.pyannote[1997].start 11492.74971875
transcript.pyannote[1997].end 11492.96909375
transcript.pyannote[1998].speaker SPEAKER_06
transcript.pyannote[1998].start 11492.96909375
transcript.pyannote[1998].end 11493.93096875
transcript.pyannote[1999].speaker SPEAKER_18
transcript.pyannote[1999].start 11494.08284375
transcript.pyannote[1999].end 11494.31909375
transcript.pyannote[2000].speaker SPEAKER_18
transcript.pyannote[2000].start 11495.75346875
transcript.pyannote[2000].end 11498.68971875
transcript.pyannote[2001].speaker SPEAKER_18
transcript.pyannote[2001].start 11500.36034375
transcript.pyannote[2001].end 11501.74409375
transcript.pyannote[2002].speaker SPEAKER_18
transcript.pyannote[2002].start 11502.94221875
transcript.pyannote[2002].end 11505.01784375
transcript.pyannote[2003].speaker SPEAKER_18
transcript.pyannote[2003].start 11505.84471875
transcript.pyannote[2003].end 11509.62471875
transcript.pyannote[2004].speaker SPEAKER_18
transcript.pyannote[2004].start 11509.86096875
transcript.pyannote[2004].end 11511.76784375
transcript.pyannote[2005].speaker SPEAKER_18
transcript.pyannote[2005].start 11511.97034375
transcript.pyannote[2005].end 11513.18534375
transcript.pyannote[2006].speaker SPEAKER_18
transcript.pyannote[2006].start 11513.37096875
transcript.pyannote[2006].end 11518.02846875
transcript.pyannote[2007].speaker SPEAKER_18
transcript.pyannote[2007].start 11518.66971875
transcript.pyannote[2007].end 11521.89284375
transcript.pyannote[2008].speaker SPEAKER_18
transcript.pyannote[2008].start 11522.36534375
transcript.pyannote[2008].end 11524.32284375
transcript.pyannote[2009].speaker SPEAKER_18
transcript.pyannote[2009].start 11524.50846875
transcript.pyannote[2009].end 11528.60909375
transcript.pyannote[2010].speaker SPEAKER_18
transcript.pyannote[2010].start 11529.09846875
transcript.pyannote[2010].end 11531.20784375
transcript.pyannote[2011].speaker SPEAKER_06
transcript.pyannote[2011].start 11530.81971875
transcript.pyannote[2011].end 11533.06409375
transcript.pyannote[2012].speaker SPEAKER_18
transcript.pyannote[2012].start 11532.11909375
transcript.pyannote[2012].end 11533.23284375
transcript.pyannote[2013].speaker SPEAKER_06
transcript.pyannote[2013].start 11533.23284375
transcript.pyannote[2013].end 11533.31721875
transcript.pyannote[2014].speaker SPEAKER_06
transcript.pyannote[2014].start 11533.36784375
transcript.pyannote[2014].end 11573.71596875
transcript.pyannote[2015].speaker SPEAKER_18
transcript.pyannote[2015].start 11534.43096875
transcript.pyannote[2015].end 11536.03409375
transcript.pyannote[2016].speaker SPEAKER_03
transcript.pyannote[2016].start 11551.89659375
transcript.pyannote[2016].end 11552.23409375
transcript.pyannote[2017].speaker SPEAKER_06
transcript.pyannote[2017].start 11574.00284375
transcript.pyannote[2017].end 11588.34659375
transcript.pyannote[2018].speaker SPEAKER_18
transcript.pyannote[2018].start 11589.13971875
transcript.pyannote[2018].end 11596.12596875
transcript.pyannote[2019].speaker SPEAKER_06
transcript.pyannote[2019].start 11596.12596875
transcript.pyannote[2019].end 11597.25659375
transcript.pyannote[2020].speaker SPEAKER_18
transcript.pyannote[2020].start 11596.93596875
transcript.pyannote[2020].end 11597.18909375
transcript.pyannote[2021].speaker SPEAKER_18
transcript.pyannote[2021].start 11597.25659375
transcript.pyannote[2021].end 11597.84721875
transcript.pyannote[2022].speaker SPEAKER_06
transcript.pyannote[2022].start 11597.84721875
transcript.pyannote[2022].end 11597.88096875
transcript.pyannote[2023].speaker SPEAKER_06
transcript.pyannote[2023].start 11598.11721875
transcript.pyannote[2023].end 11598.16784375
transcript.pyannote[2024].speaker SPEAKER_18
transcript.pyannote[2024].start 11598.16784375
transcript.pyannote[2024].end 11598.20159375
transcript.pyannote[2025].speaker SPEAKER_06
transcript.pyannote[2025].start 11598.20159375
transcript.pyannote[2025].end 11598.43784375
transcript.pyannote[2026].speaker SPEAKER_18
transcript.pyannote[2026].start 11598.43784375
transcript.pyannote[2026].end 11598.82596875
transcript.pyannote[2027].speaker SPEAKER_06
transcript.pyannote[2027].start 11598.82596875
transcript.pyannote[2027].end 11607.93846875
transcript.pyannote[2028].speaker SPEAKER_18
transcript.pyannote[2028].start 11601.07034375
transcript.pyannote[2028].end 11602.28534375
transcript.pyannote[2029].speaker SPEAKER_18
transcript.pyannote[2029].start 11603.01096875
transcript.pyannote[2029].end 11604.42846875
transcript.pyannote[2030].speaker SPEAKER_06
transcript.pyannote[2030].start 11609.92971875
transcript.pyannote[2030].end 11622.07971875
transcript.pyannote[2031].speaker SPEAKER_06
transcript.pyannote[2031].start 11622.29909375
transcript.pyannote[2031].end 11628.17159375
transcript.pyannote[2032].speaker SPEAKER_18
transcript.pyannote[2032].start 11628.17159375
transcript.pyannote[2032].end 11629.50471875
transcript.pyannote[2033].speaker SPEAKER_06
transcript.pyannote[2033].start 11628.18846875
transcript.pyannote[2033].end 11629.09971875
transcript.pyannote[2034].speaker SPEAKER_06
transcript.pyannote[2034].start 11629.15034375
transcript.pyannote[2034].end 11629.20096875
transcript.pyannote[2035].speaker SPEAKER_18
transcript.pyannote[2035].start 11629.99409375
transcript.pyannote[2035].end 11634.48284375
transcript.pyannote[2036].speaker SPEAKER_06
transcript.pyannote[2036].start 11634.97221875
transcript.pyannote[2036].end 11637.08159375
transcript.pyannote[2037].speaker SPEAKER_18
transcript.pyannote[2037].start 11637.08159375
transcript.pyannote[2037].end 11639.25846875
transcript.pyannote[2038].speaker SPEAKER_06
transcript.pyannote[2038].start 11639.25846875
transcript.pyannote[2038].end 11639.57909375
transcript.pyannote[2039].speaker SPEAKER_18
transcript.pyannote[2039].start 11639.57909375
transcript.pyannote[2039].end 11644.67534375
transcript.pyannote[2040].speaker SPEAKER_18
transcript.pyannote[2040].start 11644.84409375
transcript.pyannote[2040].end 11644.86096875
transcript.pyannote[2041].speaker SPEAKER_06
transcript.pyannote[2041].start 11644.86096875
transcript.pyannote[2041].end 11645.75534375
transcript.pyannote[2042].speaker SPEAKER_18
transcript.pyannote[2042].start 11645.80596875
transcript.pyannote[2042].end 11653.45034375
transcript.pyannote[2043].speaker SPEAKER_18
transcript.pyannote[2043].start 11654.12534375
transcript.pyannote[2043].end 11657.31471875
transcript.pyannote[2044].speaker SPEAKER_18
transcript.pyannote[2044].start 11658.47909375
transcript.pyannote[2044].end 11660.08221875
transcript.pyannote[2045].speaker SPEAKER_14
transcript.pyannote[2045].start 11660.41971875
transcript.pyannote[2045].end 11669.19471875
transcript.pyannote[2046].speaker SPEAKER_18
transcript.pyannote[2046].start 11664.36846875
transcript.pyannote[2046].end 11665.51596875
transcript.pyannote[2047].speaker SPEAKER_14
transcript.pyannote[2047].start 11669.90346875
transcript.pyannote[2047].end 11671.65846875
transcript.pyannote[2048].speaker SPEAKER_18
transcript.pyannote[2048].start 11671.70909375
transcript.pyannote[2048].end 11673.09284375
transcript.pyannote[2049].speaker SPEAKER_18
transcript.pyannote[2049].start 11674.54409375
transcript.pyannote[2049].end 11675.03346875
transcript.pyannote[2050].speaker SPEAKER_18
transcript.pyannote[2050].start 11675.26971875
transcript.pyannote[2050].end 11676.58596875
transcript.pyannote[2051].speaker SPEAKER_14
transcript.pyannote[2051].start 11677.59846875
transcript.pyannote[2051].end 11688.53346875
transcript.pyannote[2052].speaker SPEAKER_18
transcript.pyannote[2052].start 11681.58096875
transcript.pyannote[2052].end 11683.52159375
transcript.pyannote[2053].speaker SPEAKER_18
transcript.pyannote[2053].start 11687.04846875
transcript.pyannote[2053].end 11690.72721875
transcript.pyannote[2054].speaker SPEAKER_18
transcript.pyannote[2054].start 11691.06471875
transcript.pyannote[2054].end 11698.10159375
transcript.pyannote[2055].speaker SPEAKER_18
transcript.pyannote[2055].start 11698.25346875
transcript.pyannote[2055].end 11702.13471875
transcript.pyannote[2056].speaker SPEAKER_14
transcript.pyannote[2056].start 11700.80159375
transcript.pyannote[2056].end 11704.66596875
transcript.pyannote[2057].speaker SPEAKER_18
transcript.pyannote[2057].start 11703.09659375
transcript.pyannote[2057].end 11703.97409375
transcript.pyannote[2058].speaker SPEAKER_18
transcript.pyannote[2058].start 11704.15971875
transcript.pyannote[2058].end 11708.42909375
transcript.pyannote[2059].speaker SPEAKER_14
transcript.pyannote[2059].start 11705.25659375
transcript.pyannote[2059].end 11706.20159375
transcript.pyannote[2060].speaker SPEAKER_18
transcript.pyannote[2060].start 11708.74971875
transcript.pyannote[2060].end 11718.23346875
transcript.pyannote[2061].speaker SPEAKER_18
transcript.pyannote[2061].start 11718.79034375
transcript.pyannote[2061].end 11720.64659375
transcript.pyannote[2062].speaker SPEAKER_18
transcript.pyannote[2062].start 11720.83221875
transcript.pyannote[2062].end 11724.37596875
transcript.pyannote[2063].speaker SPEAKER_18
transcript.pyannote[2063].start 11725.18596875
transcript.pyannote[2063].end 11725.20284375
transcript.pyannote[2064].speaker SPEAKER_06
transcript.pyannote[2064].start 11725.20284375
transcript.pyannote[2064].end 11725.27034375
transcript.pyannote[2065].speaker SPEAKER_18
transcript.pyannote[2065].start 11725.27034375
transcript.pyannote[2065].end 11726.63721875
transcript.pyannote[2066].speaker SPEAKER_06
transcript.pyannote[2066].start 11725.37159375
transcript.pyannote[2066].end 11726.48534375
transcript.pyannote[2067].speaker SPEAKER_06
transcript.pyannote[2067].start 11726.77221875
transcript.pyannote[2067].end 11732.22284375
transcript.pyannote[2068].speaker SPEAKER_06
transcript.pyannote[2068].start 11733.15096875
transcript.pyannote[2068].end 11734.34909375
transcript.pyannote[2069].speaker SPEAKER_05
transcript.pyannote[2069].start 11734.78784375
transcript.pyannote[2069].end 11740.66034375
transcript.pyannote[2070].speaker SPEAKER_17
transcript.pyannote[2070].start 11749.35096875
transcript.pyannote[2070].end 11753.14784375
transcript.pyannote[2071].speaker SPEAKER_05
transcript.pyannote[2071].start 11753.35034375
transcript.pyannote[2071].end 11754.78471875
transcript.pyannote[2072].speaker SPEAKER_05
transcript.pyannote[2072].start 11759.89784375
transcript.pyannote[2072].end 11760.28596875
transcript.pyannote[2073].speaker SPEAKER_14
transcript.pyannote[2073].start 11760.28596875
transcript.pyannote[2073].end 11760.31971875
transcript.pyannote[2074].speaker SPEAKER_17
transcript.pyannote[2074].start 11760.74159375
transcript.pyannote[2074].end 11780.72159375
transcript.pyannote[2075].speaker SPEAKER_14
transcript.pyannote[2075].start 11780.60346875
transcript.pyannote[2075].end 11780.89034375
transcript.pyannote[2076].speaker SPEAKER_17
transcript.pyannote[2076].start 11780.89034375
transcript.pyannote[2076].end 11782.03784375
transcript.pyannote[2077].speaker SPEAKER_14
transcript.pyannote[2077].start 11780.90721875
transcript.pyannote[2077].end 11780.92409375
transcript.pyannote[2078].speaker SPEAKER_14
transcript.pyannote[2078].start 11782.94909375
transcript.pyannote[2078].end 11786.44221875
transcript.pyannote[2079].speaker SPEAKER_17
transcript.pyannote[2079].start 11785.36221875
transcript.pyannote[2079].end 11788.33221875
transcript.pyannote[2080].speaker SPEAKER_14
transcript.pyannote[2080].start 11788.33221875
transcript.pyannote[2080].end 11799.62159375
transcript.pyannote[2081].speaker SPEAKER_17
transcript.pyannote[2081].start 11799.62159375
transcript.pyannote[2081].end 11800.71846875
transcript.pyannote[2082].speaker SPEAKER_14
transcript.pyannote[2082].start 11801.02221875
transcript.pyannote[2082].end 11801.22471875
transcript.pyannote[2083].speaker SPEAKER_17
transcript.pyannote[2083].start 11801.22471875
transcript.pyannote[2083].end 11802.35534375
transcript.pyannote[2084].speaker SPEAKER_14
transcript.pyannote[2084].start 11803.92471875
transcript.pyannote[2084].end 11803.94159375
transcript.pyannote[2085].speaker SPEAKER_06
transcript.pyannote[2085].start 11803.94159375
transcript.pyannote[2085].end 11804.54909375
transcript.pyannote[2086].speaker SPEAKER_17
transcript.pyannote[2086].start 11804.59971875
transcript.pyannote[2086].end 11805.69659375
transcript.pyannote[2087].speaker SPEAKER_06
transcript.pyannote[2087].start 11805.94971875
transcript.pyannote[2087].end 11806.69221875
transcript.pyannote[2088].speaker SPEAKER_17
transcript.pyannote[2088].start 11806.21971875
transcript.pyannote[2088].end 11809.13909375
transcript.pyannote[2089].speaker SPEAKER_06
transcript.pyannote[2089].start 11809.81409375
transcript.pyannote[2089].end 11811.48471875
transcript.pyannote[2090].speaker SPEAKER_17
transcript.pyannote[2090].start 11811.29909375
transcript.pyannote[2090].end 11814.57284375
transcript.pyannote[2091].speaker SPEAKER_06
transcript.pyannote[2091].start 11815.51784375
transcript.pyannote[2091].end 11818.75784375
transcript.pyannote[2092].speaker SPEAKER_17
transcript.pyannote[2092].start 11819.11221875
transcript.pyannote[2092].end 11819.93909375
transcript.pyannote[2093].speaker SPEAKER_06
transcript.pyannote[2093].start 11819.93909375
transcript.pyannote[2093].end 11821.15409375
transcript.pyannote[2094].speaker SPEAKER_17
transcript.pyannote[2094].start 11820.47909375
transcript.pyannote[2094].end 11821.57596875
transcript.pyannote[2095].speaker SPEAKER_06
transcript.pyannote[2095].start 11821.49159375
transcript.pyannote[2095].end 11824.20846875
transcript.pyannote[2096].speaker SPEAKER_17
transcript.pyannote[2096].start 11824.20846875
transcript.pyannote[2096].end 11825.91284375
transcript.pyannote[2097].speaker SPEAKER_06
transcript.pyannote[2097].start 11825.42346875
transcript.pyannote[2097].end 11825.47409375
transcript.pyannote[2098].speaker SPEAKER_06
transcript.pyannote[2098].start 11825.50784375
transcript.pyannote[2098].end 11825.69346875
transcript.pyannote[2099].speaker SPEAKER_06
transcript.pyannote[2099].start 11825.74409375
transcript.pyannote[2099].end 11826.03096875
transcript.pyannote[2100].speaker SPEAKER_17
transcript.pyannote[2100].start 11825.94659375
transcript.pyannote[2100].end 11826.33471875
transcript.pyannote[2101].speaker SPEAKER_17
transcript.pyannote[2101].start 11826.67221875
transcript.pyannote[2101].end 11851.02284375
transcript.pyannote[2102].speaker SPEAKER_06
transcript.pyannote[2102].start 11851.51221875
transcript.pyannote[2102].end 11856.33846875
transcript.pyannote[2103].speaker SPEAKER_17
transcript.pyannote[2103].start 11855.32596875
transcript.pyannote[2103].end 11877.39846875
transcript.pyannote[2104].speaker SPEAKER_06
transcript.pyannote[2104].start 11861.51909375
transcript.pyannote[2104].end 11863.71284375
transcript.pyannote[2105].speaker SPEAKER_17
transcript.pyannote[2105].start 11877.90471875
transcript.pyannote[2105].end 11885.88659375
transcript.pyannote[2106].speaker SPEAKER_17
transcript.pyannote[2106].start 11886.69659375
transcript.pyannote[2106].end 11888.70471875
transcript.pyannote[2107].speaker SPEAKER_06
transcript.pyannote[2107].start 11888.70471875
transcript.pyannote[2107].end 11889.75096875
transcript.pyannote[2108].speaker SPEAKER_17
transcript.pyannote[2108].start 11889.75096875
transcript.pyannote[2108].end 11923.63596875
transcript.pyannote[2109].speaker SPEAKER_06
transcript.pyannote[2109].start 11890.86471875
transcript.pyannote[2109].end 11891.77596875
transcript.pyannote[2110].speaker SPEAKER_17
transcript.pyannote[2110].start 11924.36159375
transcript.pyannote[2110].end 11928.51284375
transcript.pyannote[2111].speaker SPEAKER_06
transcript.pyannote[2111].start 11928.85034375
transcript.pyannote[2111].end 11939.71784375
transcript.pyannote[2112].speaker SPEAKER_06
transcript.pyannote[2112].start 11939.86971875
transcript.pyannote[2112].end 11948.08784375
transcript.pyannote[2113].speaker SPEAKER_17
transcript.pyannote[2113].start 11944.32471875
transcript.pyannote[2113].end 11947.44659375
transcript.pyannote[2114].speaker SPEAKER_17
transcript.pyannote[2114].start 11948.08784375
transcript.pyannote[2114].end 11950.72034375
transcript.pyannote[2115].speaker SPEAKER_06
transcript.pyannote[2115].start 11949.77534375
transcript.pyannote[2115].end 11952.76221875
transcript.pyannote[2116].speaker SPEAKER_17
transcript.pyannote[2116].start 11951.22659375
transcript.pyannote[2116].end 12005.26034375
transcript.pyannote[2117].speaker SPEAKER_06
transcript.pyannote[2117].start 11956.17096875
transcript.pyannote[2117].end 11956.60971875
transcript.pyannote[2118].speaker SPEAKER_01
transcript.pyannote[2118].start 11960.20409375
transcript.pyannote[2118].end 11960.62596875
transcript.pyannote[2119].speaker SPEAKER_00
transcript.pyannote[2119].start 11969.67096875
transcript.pyannote[2119].end 11969.73846875
transcript.pyannote[2120].speaker SPEAKER_15
transcript.pyannote[2120].start 11969.73846875
transcript.pyannote[2120].end 11969.75534375
transcript.pyannote[2121].speaker SPEAKER_00
transcript.pyannote[2121].start 11969.75534375
transcript.pyannote[2121].end 11969.78909375
transcript.pyannote[2122].speaker SPEAKER_00
transcript.pyannote[2122].start 11972.67471875
transcript.pyannote[2122].end 11972.92784375
transcript.pyannote[2123].speaker SPEAKER_14
transcript.pyannote[2123].start 12006.39096875
transcript.pyannote[2123].end 12025.47659375
transcript.pyannote[2124].speaker SPEAKER_17
transcript.pyannote[2124].start 12020.05971875
transcript.pyannote[2124].end 12020.44784375
transcript.pyannote[2125].speaker SPEAKER_17
transcript.pyannote[2125].start 12025.47659375
transcript.pyannote[2125].end 12059.02409375
transcript.pyannote[2126].speaker SPEAKER_06
transcript.pyannote[2126].start 12060.62721875
transcript.pyannote[2126].end 12070.19534375
transcript.pyannote[2127].speaker SPEAKER_06
transcript.pyannote[2127].start 12070.43159375
transcript.pyannote[2127].end 12082.61534375
transcript.pyannote[2128].speaker SPEAKER_17
transcript.pyannote[2128].start 12081.18096875
transcript.pyannote[2128].end 12140.29409375
transcript.pyannote[2129].speaker SPEAKER_06
transcript.pyannote[2129].start 12087.28971875
transcript.pyannote[2129].end 12087.62721875
transcript.pyannote[2130].speaker SPEAKER_12
transcript.pyannote[2130].start 12102.57846875
transcript.pyannote[2130].end 12102.93284375
transcript.pyannote[2131].speaker SPEAKER_15
transcript.pyannote[2131].start 12113.41221875
transcript.pyannote[2131].end 12113.96909375
transcript.pyannote[2132].speaker SPEAKER_00
transcript.pyannote[2132].start 12113.96909375
transcript.pyannote[2132].end 12114.07034375
transcript.pyannote[2133].speaker SPEAKER_06
transcript.pyannote[2133].start 12139.93971875
transcript.pyannote[2133].end 12141.82971875
transcript.pyannote[2134].speaker SPEAKER_17
transcript.pyannote[2134].start 12141.79596875
transcript.pyannote[2134].end 12143.78721875
transcript.pyannote[2135].speaker SPEAKER_17
transcript.pyannote[2135].start 12144.31034375
transcript.pyannote[2135].end 12146.40284375
transcript.pyannote[2136].speaker SPEAKER_06
transcript.pyannote[2136].start 12148.12409375
transcript.pyannote[2136].end 12156.54471875
transcript.pyannote[2137].speaker SPEAKER_17
transcript.pyannote[2137].start 12156.54471875
transcript.pyannote[2137].end 12159.46409375
transcript.pyannote[2138].speaker SPEAKER_06
transcript.pyannote[2138].start 12158.28284375
transcript.pyannote[2138].end 12161.87721875
transcript.pyannote[2139].speaker SPEAKER_17
transcript.pyannote[2139].start 12160.37534375
transcript.pyannote[2139].end 12160.96596875
transcript.pyannote[2140].speaker SPEAKER_17
transcript.pyannote[2140].start 12161.70846875
transcript.pyannote[2140].end 12164.93159375
transcript.pyannote[2141].speaker SPEAKER_06
transcript.pyannote[2141].start 12165.48846875
transcript.pyannote[2141].end 12169.90971875
transcript.pyannote[2142].speaker SPEAKER_17
transcript.pyannote[2142].start 12168.12096875
transcript.pyannote[2142].end 12182.80221875
transcript.pyannote[2143].speaker SPEAKER_06
transcript.pyannote[2143].start 12182.11034375
transcript.pyannote[2143].end 12186.70034375
transcript.pyannote[2144].speaker SPEAKER_17
transcript.pyannote[2144].start 12191.13846875
transcript.pyannote[2144].end 12191.88096875
transcript.pyannote[2145].speaker SPEAKER_17
transcript.pyannote[2145].start 12193.16346875
transcript.pyannote[2145].end 12194.64846875
transcript.pyannote[2146].speaker SPEAKER_17
transcript.pyannote[2146].start 12196.21784375
transcript.pyannote[2146].end 12198.78284375
transcript.pyannote[2147].speaker SPEAKER_17
transcript.pyannote[2147].start 12200.57159375
transcript.pyannote[2147].end 12288.67596875
transcript.pyannote[2148].speaker SPEAKER_00
transcript.pyannote[2148].start 12210.52784375
transcript.pyannote[2148].end 12210.62909375
transcript.pyannote[2149].speaker SPEAKER_00
transcript.pyannote[2149].start 12212.40096875
transcript.pyannote[2149].end 12212.68784375
transcript.pyannote[2150].speaker SPEAKER_00
transcript.pyannote[2150].start 12216.04596875
transcript.pyannote[2150].end 12216.43409375
transcript.pyannote[2151].speaker SPEAKER_00
transcript.pyannote[2151].start 12231.73971875
transcript.pyannote[2151].end 12231.77346875
transcript.pyannote[2152].speaker SPEAKER_15
transcript.pyannote[2152].start 12231.77346875
transcript.pyannote[2152].end 12231.85784375
transcript.pyannote[2153].speaker SPEAKER_00
transcript.pyannote[2153].start 12231.85784375
transcript.pyannote[2153].end 12231.90846875
transcript.pyannote[2154].speaker SPEAKER_00
transcript.pyannote[2154].start 12233.68034375
transcript.pyannote[2154].end 12233.83221875
transcript.pyannote[2155].speaker SPEAKER_00
transcript.pyannote[2155].start 12233.84909375
transcript.pyannote[2155].end 12233.95034375
transcript.pyannote[2156].speaker SPEAKER_00
transcript.pyannote[2156].start 12238.15221875
transcript.pyannote[2156].end 12238.43909375
transcript.pyannote[2157].speaker SPEAKER_14
transcript.pyannote[2157].start 12282.09471875
transcript.pyannote[2157].end 12282.17909375
transcript.pyannote[2158].speaker SPEAKER_14
transcript.pyannote[2158].start 12282.21284375
transcript.pyannote[2158].end 12282.22971875
transcript.pyannote[2159].speaker SPEAKER_14
transcript.pyannote[2159].start 12282.26346875
transcript.pyannote[2159].end 12282.53346875
transcript.pyannote[2160].speaker SPEAKER_14
transcript.pyannote[2160].start 12288.67596875
transcript.pyannote[2160].end 12309.36471875
transcript.pyannote[2161].speaker SPEAKER_17
transcript.pyannote[2161].start 12289.84034375
transcript.pyannote[2161].end 12289.95846875
transcript.pyannote[2162].speaker SPEAKER_17
transcript.pyannote[2162].start 12309.68534375
transcript.pyannote[2162].end 12323.59034375
transcript.pyannote[2163].speaker SPEAKER_14
transcript.pyannote[2163].start 12320.16471875
transcript.pyannote[2163].end 12320.31659375
transcript.pyannote[2164].speaker SPEAKER_14
transcript.pyannote[2164].start 12324.06284375
transcript.pyannote[2164].end 12335.21721875
transcript.pyannote[2165].speaker SPEAKER_14
transcript.pyannote[2165].start 12335.45346875
transcript.pyannote[2165].end 12335.47034375
transcript.pyannote[2166].speaker SPEAKER_17
transcript.pyannote[2166].start 12335.47034375
transcript.pyannote[2166].end 12350.77596875
transcript.pyannote[2167].speaker SPEAKER_15
transcript.pyannote[2167].start 12341.57909375
transcript.pyannote[2167].end 12341.81534375
transcript.pyannote[2168].speaker SPEAKER_14
transcript.pyannote[2168].start 12346.65846875
transcript.pyannote[2168].end 12346.67534375
transcript.pyannote[2169].speaker SPEAKER_15
transcript.pyannote[2169].start 12346.67534375
transcript.pyannote[2169].end 12346.70909375
transcript.pyannote[2170].speaker SPEAKER_05
transcript.pyannote[2170].start 12346.70909375
transcript.pyannote[2170].end 12347.94096875
transcript.pyannote[2171].speaker SPEAKER_05
transcript.pyannote[2171].start 12350.10096875
transcript.pyannote[2171].end 12351.51846875
transcript.pyannote[2172].speaker SPEAKER_05
transcript.pyannote[2172].start 12353.22284375
transcript.pyannote[2172].end 12366.75659375
transcript.pyannote[2173].speaker SPEAKER_13
transcript.pyannote[2173].start 12379.10909375
transcript.pyannote[2173].end 12381.28596875
transcript.pyannote[2174].speaker SPEAKER_13
transcript.pyannote[2174].start 12381.55596875
transcript.pyannote[2174].end 12382.12971875
transcript.pyannote[2175].speaker SPEAKER_05
transcript.pyannote[2175].start 12382.29846875
transcript.pyannote[2175].end 12383.24346875
transcript.pyannote[2176].speaker SPEAKER_05
transcript.pyannote[2176].start 12384.50909375
transcript.pyannote[2176].end 12385.36971875
transcript.pyannote[2177].speaker SPEAKER_05
transcript.pyannote[2177].start 12389.82471875
transcript.pyannote[2177].end 12389.85846875
transcript.pyannote[2178].speaker SPEAKER_13
transcript.pyannote[2178].start 12389.85846875
transcript.pyannote[2178].end 12408.13409375
transcript.pyannote[2179].speaker SPEAKER_13
transcript.pyannote[2179].start 12408.64034375
transcript.pyannote[2179].end 12488.08784375
transcript.pyannote[2180].speaker SPEAKER_13
transcript.pyannote[2180].start 12488.25659375
transcript.pyannote[2180].end 12499.66409375
transcript.pyannote[2181].speaker SPEAKER_13
transcript.pyannote[2181].start 12499.83284375
transcript.pyannote[2181].end 12504.42284375
transcript.pyannote[2182].speaker SPEAKER_07
transcript.pyannote[2182].start 12502.26284375
transcript.pyannote[2182].end 12502.92096875
transcript.pyannote[2183].speaker SPEAKER_07
transcript.pyannote[2183].start 12505.04721875
transcript.pyannote[2183].end 12513.90659375
transcript.pyannote[2184].speaker SPEAKER_07
transcript.pyannote[2184].start 12514.09221875
transcript.pyannote[2184].end 12519.86346875
transcript.pyannote[2185].speaker SPEAKER_13
transcript.pyannote[2185].start 12519.30659375
transcript.pyannote[2185].end 12523.30596875
transcript.pyannote[2186].speaker SPEAKER_07
transcript.pyannote[2186].start 12520.45409375
transcript.pyannote[2186].end 12521.97284375
transcript.pyannote[2187].speaker SPEAKER_07
transcript.pyannote[2187].start 12522.93471875
transcript.pyannote[2187].end 12522.95159375
transcript.pyannote[2188].speaker SPEAKER_07
transcript.pyannote[2188].start 12523.30596875
transcript.pyannote[2188].end 12531.32159375
transcript.pyannote[2189].speaker SPEAKER_13
transcript.pyannote[2189].start 12523.37346875
transcript.pyannote[2189].end 12523.99784375
transcript.pyannote[2190].speaker SPEAKER_13
transcript.pyannote[2190].start 12525.68534375
transcript.pyannote[2190].end 12526.00596875
transcript.pyannote[2191].speaker SPEAKER_07
transcript.pyannote[2191].start 12531.74346875
transcript.pyannote[2191].end 12545.02409375
transcript.pyannote[2192].speaker SPEAKER_07
transcript.pyannote[2192].start 12545.39534375
transcript.pyannote[2192].end 12550.40721875
transcript.pyannote[2193].speaker SPEAKER_13
transcript.pyannote[2193].start 12550.40721875
transcript.pyannote[2193].end 12585.49034375
transcript.pyannote[2194].speaker SPEAKER_15
transcript.pyannote[2194].start 12573.25596875
transcript.pyannote[2194].end 12573.27284375
transcript.pyannote[2195].speaker SPEAKER_15
transcript.pyannote[2195].start 12573.28971875
transcript.pyannote[2195].end 12573.34034375
transcript.pyannote[2196].speaker SPEAKER_15
transcript.pyannote[2196].start 12573.37409375
transcript.pyannote[2196].end 12573.62721875
transcript.pyannote[2197].speaker SPEAKER_15
transcript.pyannote[2197].start 12577.44096875
transcript.pyannote[2197].end 12577.64346875
transcript.pyannote[2198].speaker SPEAKER_07
transcript.pyannote[2198].start 12585.79409375
transcript.pyannote[2198].end 12589.70909375
transcript.pyannote[2199].speaker SPEAKER_07
transcript.pyannote[2199].start 12589.92846875
transcript.pyannote[2199].end 12601.36971875
transcript.pyannote[2200].speaker SPEAKER_07
transcript.pyannote[2200].start 12601.42034375
transcript.pyannote[2200].end 12605.16659375
transcript.pyannote[2201].speaker SPEAKER_07
transcript.pyannote[2201].start 12605.52096875
transcript.pyannote[2201].end 12606.90471875
transcript.pyannote[2202].speaker SPEAKER_07
transcript.pyannote[2202].start 12607.02284375
transcript.pyannote[2202].end 12612.62534375
transcript.pyannote[2203].speaker SPEAKER_13
transcript.pyannote[2203].start 12613.08096875
transcript.pyannote[2203].end 12613.36784375
transcript.pyannote[2204].speaker SPEAKER_07
transcript.pyannote[2204].start 12613.36784375
transcript.pyannote[2204].end 12613.40159375
transcript.pyannote[2205].speaker SPEAKER_13
transcript.pyannote[2205].start 12613.40159375
transcript.pyannote[2205].end 12629.14596875
transcript.pyannote[2206].speaker SPEAKER_07
transcript.pyannote[2206].start 12613.62096875
transcript.pyannote[2206].end 12614.05971875
transcript.pyannote[2207].speaker SPEAKER_07
transcript.pyannote[2207].start 12629.14596875
transcript.pyannote[2207].end 12629.17971875
transcript.pyannote[2208].speaker SPEAKER_07
transcript.pyannote[2208].start 12629.29784375
transcript.pyannote[2208].end 12634.30971875
transcript.pyannote[2209].speaker SPEAKER_13
transcript.pyannote[2209].start 12631.72784375
transcript.pyannote[2209].end 12631.87971875
transcript.pyannote[2210].speaker SPEAKER_13
transcript.pyannote[2210].start 12634.30971875
transcript.pyannote[2210].end 12693.32159375
transcript.pyannote[2211].speaker SPEAKER_07
transcript.pyannote[2211].start 12642.74721875
transcript.pyannote[2211].end 12644.55284375
transcript.pyannote[2212].speaker SPEAKER_00
transcript.pyannote[2212].start 12644.55284375
transcript.pyannote[2212].end 12644.58659375
transcript.pyannote[2213].speaker SPEAKER_07
transcript.pyannote[2213].start 12644.58659375
transcript.pyannote[2213].end 12644.77221875
transcript.pyannote[2214].speaker SPEAKER_00
transcript.pyannote[2214].start 12644.77221875
transcript.pyannote[2214].end 12644.82284375
transcript.pyannote[2215].speaker SPEAKER_13
transcript.pyannote[2215].start 12693.64221875
transcript.pyannote[2215].end 12695.66721875
transcript.pyannote[2216].speaker SPEAKER_13
transcript.pyannote[2216].start 12696.12284375
transcript.pyannote[2216].end 12698.36721875
transcript.pyannote[2217].speaker SPEAKER_07
transcript.pyannote[2217].start 12698.70471875
transcript.pyannote[2217].end 12699.58221875
transcript.pyannote[2218].speaker SPEAKER_13
transcript.pyannote[2218].start 12699.39659375
transcript.pyannote[2218].end 12711.68159375
transcript.pyannote[2219].speaker SPEAKER_13
transcript.pyannote[2219].start 12712.10346875
transcript.pyannote[2219].end 12716.92971875
transcript.pyannote[2220].speaker SPEAKER_14
transcript.pyannote[2220].start 12713.75721875
transcript.pyannote[2220].end 12715.44471875
transcript.pyannote[2221].speaker SPEAKER_14
transcript.pyannote[2221].start 12716.32221875
transcript.pyannote[2221].end 12718.75221875
transcript.pyannote[2222].speaker SPEAKER_13
transcript.pyannote[2222].start 12718.75221875
transcript.pyannote[2222].end 12719.03909375
transcript.pyannote[2223].speaker SPEAKER_14
transcript.pyannote[2223].start 12719.03909375
transcript.pyannote[2223].end 12725.29971875
transcript.pyannote[2224].speaker SPEAKER_13
transcript.pyannote[2224].start 12721.19909375
transcript.pyannote[2224].end 12721.46909375
transcript.pyannote[2225].speaker SPEAKER_14
transcript.pyannote[2225].start 12725.62034375
transcript.pyannote[2225].end 12737.17971875
transcript.pyannote[2226].speaker SPEAKER_13
transcript.pyannote[2226].start 12727.45971875
transcript.pyannote[2226].end 12727.67909375
transcript.pyannote[2227].speaker SPEAKER_15
transcript.pyannote[2227].start 12727.67909375
transcript.pyannote[2227].end 12727.79721875
transcript.pyannote[2228].speaker SPEAKER_15
transcript.pyannote[2228].start 12728.01659375
transcript.pyannote[2228].end 12728.60721875
transcript.pyannote[2229].speaker SPEAKER_13
transcript.pyannote[2229].start 12736.03221875
transcript.pyannote[2229].end 12742.44471875
transcript.pyannote[2230].speaker SPEAKER_14
transcript.pyannote[2230].start 12738.42846875
transcript.pyannote[2230].end 12748.60409375
transcript.pyannote[2231].speaker SPEAKER_13
transcript.pyannote[2231].start 12746.96721875
transcript.pyannote[2231].end 12747.96284375
transcript.pyannote[2232].speaker SPEAKER_07
transcript.pyannote[2232].start 12747.96284375
transcript.pyannote[2232].end 12748.03034375
transcript.pyannote[2233].speaker SPEAKER_13
transcript.pyannote[2233].start 12748.03034375
transcript.pyannote[2233].end 12748.14846875
transcript.pyannote[2234].speaker SPEAKER_07
transcript.pyannote[2234].start 12748.14846875
transcript.pyannote[2234].end 12748.55346875
transcript.pyannote[2235].speaker SPEAKER_13
transcript.pyannote[2235].start 12748.55346875
transcript.pyannote[2235].end 12748.60409375
transcript.pyannote[2236].speaker SPEAKER_07
transcript.pyannote[2236].start 12748.60409375
transcript.pyannote[2236].end 12748.62096875
transcript.pyannote[2237].speaker SPEAKER_13
transcript.pyannote[2237].start 12748.62096875
transcript.pyannote[2237].end 12748.78971875
transcript.pyannote[2238].speaker SPEAKER_14
transcript.pyannote[2238].start 12748.78971875
transcript.pyannote[2238].end 12748.97534375
transcript.pyannote[2239].speaker SPEAKER_07
transcript.pyannote[2239].start 12748.97534375
transcript.pyannote[2239].end 12749.02596875
transcript.pyannote[2240].speaker SPEAKER_13
transcript.pyannote[2240].start 12749.02596875
transcript.pyannote[2240].end 12749.86971875
transcript.pyannote[2241].speaker SPEAKER_14
transcript.pyannote[2241].start 12749.66721875
transcript.pyannote[2241].end 12749.97096875
transcript.pyannote[2242].speaker SPEAKER_07
transcript.pyannote[2242].start 12749.86971875
transcript.pyannote[2242].end 12751.08471875
transcript.pyannote[2243].speaker SPEAKER_13
transcript.pyannote[2243].start 12749.97096875
transcript.pyannote[2243].end 12750.22409375
transcript.pyannote[2244].speaker SPEAKER_13
transcript.pyannote[2244].start 12751.08471875
transcript.pyannote[2244].end 12756.23159375
transcript.pyannote[2245].speaker SPEAKER_13
transcript.pyannote[2245].start 12756.95721875
transcript.pyannote[2245].end 12760.66971875
transcript.pyannote[2246].speaker SPEAKER_13
transcript.pyannote[2246].start 12760.85534375
transcript.pyannote[2246].end 12767.97659375
transcript.pyannote[2247].speaker SPEAKER_00
transcript.pyannote[2247].start 12762.66096875
transcript.pyannote[2247].end 12762.86346875
transcript.pyannote[2248].speaker SPEAKER_07
transcript.pyannote[2248].start 12762.86346875
transcript.pyannote[2248].end 12762.96471875
transcript.pyannote[2249].speaker SPEAKER_18
transcript.pyannote[2249].start 12762.96471875
transcript.pyannote[2249].end 12763.97721875
transcript.pyannote[2250].speaker SPEAKER_07
transcript.pyannote[2250].start 12763.97721875
transcript.pyannote[2250].end 12764.02784375
transcript.pyannote[2251].speaker SPEAKER_14
transcript.pyannote[2251].start 12764.02784375
transcript.pyannote[2251].end 12766.35659375
transcript.pyannote[2252].speaker SPEAKER_14
transcript.pyannote[2252].start 12767.97659375
transcript.pyannote[2252].end 12772.26284375
transcript.pyannote[2253].speaker SPEAKER_13
transcript.pyannote[2253].start 12768.22971875
transcript.pyannote[2253].end 12768.97221875
transcript.pyannote[2254].speaker SPEAKER_13
transcript.pyannote[2254].start 12771.38534375
transcript.pyannote[2254].end 12771.40221875
transcript.pyannote[2255].speaker SPEAKER_07
transcript.pyannote[2255].start 12771.40221875
transcript.pyannote[2255].end 12775.68846875
transcript.pyannote[2256].speaker SPEAKER_14
transcript.pyannote[2256].start 12772.53284375
transcript.pyannote[2256].end 12774.06846875
transcript.pyannote[2257].speaker SPEAKER_13
transcript.pyannote[2257].start 12774.06846875
transcript.pyannote[2257].end 12774.22034375
transcript.pyannote[2258].speaker SPEAKER_14
transcript.pyannote[2258].start 12774.92909375
transcript.pyannote[2258].end 12774.96284375
transcript.pyannote[2259].speaker SPEAKER_13
transcript.pyannote[2259].start 12774.96284375
transcript.pyannote[2259].end 12774.97971875
transcript.pyannote[2260].speaker SPEAKER_14
transcript.pyannote[2260].start 12774.97971875
transcript.pyannote[2260].end 12775.01346875
transcript.pyannote[2261].speaker SPEAKER_13
transcript.pyannote[2261].start 12775.01346875
transcript.pyannote[2261].end 12775.18221875
transcript.pyannote[2262].speaker SPEAKER_14
transcript.pyannote[2262].start 12775.18221875
transcript.pyannote[2262].end 12775.50284375
transcript.pyannote[2263].speaker SPEAKER_13
transcript.pyannote[2263].start 12775.50284375
transcript.pyannote[2263].end 12775.67159375
transcript.pyannote[2264].speaker SPEAKER_13
transcript.pyannote[2264].start 12775.68846875
transcript.pyannote[2264].end 12775.72221875
transcript.pyannote[2265].speaker SPEAKER_14
transcript.pyannote[2265].start 12775.72221875
transcript.pyannote[2265].end 12775.73909375
transcript.pyannote[2266].speaker SPEAKER_13
transcript.pyannote[2266].start 12775.73909375
transcript.pyannote[2266].end 12802.78971875
transcript.pyannote[2267].speaker SPEAKER_14
transcript.pyannote[2267].start 12777.08909375
transcript.pyannote[2267].end 12777.10596875
transcript.pyannote[2268].speaker SPEAKER_07
transcript.pyannote[2268].start 12777.10596875
transcript.pyannote[2268].end 12780.14346875
transcript.pyannote[2269].speaker SPEAKER_07
transcript.pyannote[2269].start 12781.45971875
transcript.pyannote[2269].end 12783.97409375
transcript.pyannote[2270].speaker SPEAKER_15
transcript.pyannote[2270].start 12783.97409375
transcript.pyannote[2270].end 12783.99096875
transcript.pyannote[2271].speaker SPEAKER_07
transcript.pyannote[2271].start 12803.05971875
transcript.pyannote[2271].end 12803.80221875
transcript.pyannote[2272].speaker SPEAKER_13
transcript.pyannote[2272].start 12803.41409375
transcript.pyannote[2272].end 12826.54971875
transcript.pyannote[2273].speaker SPEAKER_07
transcript.pyannote[2273].start 12812.71221875
transcript.pyannote[2273].end 12813.40409375
transcript.pyannote[2274].speaker SPEAKER_13
transcript.pyannote[2274].start 12827.20784375
transcript.pyannote[2274].end 12831.17346875
transcript.pyannote[2275].speaker SPEAKER_14
transcript.pyannote[2275].start 12827.84909375
transcript.pyannote[2275].end 12828.13596875
transcript.pyannote[2276].speaker SPEAKER_14
transcript.pyannote[2276].start 12828.82784375
transcript.pyannote[2276].end 12840.13409375
transcript.pyannote[2277].speaker SPEAKER_13
transcript.pyannote[2277].start 12832.96221875
transcript.pyannote[2277].end 12833.55284375
transcript.pyannote[2278].speaker SPEAKER_13
transcript.pyannote[2278].start 12835.76346875
transcript.pyannote[2278].end 12837.11346875
transcript.pyannote[2279].speaker SPEAKER_13
transcript.pyannote[2279].start 12837.92346875
transcript.pyannote[2279].end 12844.36971875
transcript.pyannote[2280].speaker SPEAKER_14
transcript.pyannote[2280].start 12842.22659375
transcript.pyannote[2280].end 12849.36471875
transcript.pyannote[2281].speaker SPEAKER_13
transcript.pyannote[2281].start 12846.79971875
transcript.pyannote[2281].end 12848.30159375
transcript.pyannote[2282].speaker SPEAKER_14
transcript.pyannote[2282].start 12849.76971875
transcript.pyannote[2282].end 12853.98846875
transcript.pyannote[2283].speaker SPEAKER_13
transcript.pyannote[2283].start 12853.00971875
transcript.pyannote[2283].end 12853.97159375
transcript.pyannote[2284].speaker SPEAKER_13
transcript.pyannote[2284].start 12853.98846875
transcript.pyannote[2284].end 12854.00534375
transcript.pyannote[2285].speaker SPEAKER_14
transcript.pyannote[2285].start 12854.00534375
transcript.pyannote[2285].end 12854.02221875
transcript.pyannote[2286].speaker SPEAKER_13
transcript.pyannote[2286].start 12854.02221875
transcript.pyannote[2286].end 12854.96721875
transcript.pyannote[2287].speaker SPEAKER_14
transcript.pyannote[2287].start 12854.96721875
transcript.pyannote[2287].end 12862.99971875
transcript.pyannote[2288].speaker SPEAKER_13
transcript.pyannote[2288].start 12861.59909375
transcript.pyannote[2288].end 12862.96596875
transcript.pyannote[2289].speaker SPEAKER_13
transcript.pyannote[2289].start 12862.99971875
transcript.pyannote[2289].end 12863.03346875
transcript.pyannote[2290].speaker SPEAKER_14
transcript.pyannote[2290].start 12863.03346875
transcript.pyannote[2290].end 12865.46346875
transcript.pyannote[2291].speaker SPEAKER_13
transcript.pyannote[2291].start 12863.96159375
transcript.pyannote[2291].end 12873.66471875
transcript.pyannote[2292].speaker SPEAKER_14
transcript.pyannote[2292].start 12869.02409375
transcript.pyannote[2292].end 12871.35284375
transcript.pyannote[2293].speaker SPEAKER_13
transcript.pyannote[2293].start 12874.05284375
transcript.pyannote[2293].end 12880.66784375
transcript.pyannote[2294].speaker SPEAKER_14
transcript.pyannote[2294].start 12880.27971875
transcript.pyannote[2294].end 12880.65096875
transcript.pyannote[2295].speaker SPEAKER_14
transcript.pyannote[2295].start 12880.66784375
transcript.pyannote[2295].end 12882.28784375
transcript.pyannote[2296].speaker SPEAKER_13
transcript.pyannote[2296].start 12881.32596875
transcript.pyannote[2296].end 12881.51159375
transcript.pyannote[2297].speaker SPEAKER_14
transcript.pyannote[2297].start 12882.96284375
transcript.pyannote[2297].end 12902.23409375
transcript.pyannote[2298].speaker SPEAKER_13
transcript.pyannote[2298].start 12883.92471875
transcript.pyannote[2298].end 12885.15659375
transcript.pyannote[2299].speaker SPEAKER_13
transcript.pyannote[2299].start 12887.58659375
transcript.pyannote[2299].end 12890.91096875
transcript.pyannote[2300].speaker SPEAKER_13
transcript.pyannote[2300].start 12901.03596875
transcript.pyannote[2300].end 12905.03534375
transcript.pyannote[2301].speaker SPEAKER_14
transcript.pyannote[2301].start 12904.91721875
transcript.pyannote[2301].end 12908.51159375
transcript.pyannote[2302].speaker SPEAKER_13
transcript.pyannote[2302].start 12908.51159375
transcript.pyannote[2302].end 12908.96721875
transcript.pyannote[2303].speaker SPEAKER_14
transcript.pyannote[2303].start 12908.96721875
transcript.pyannote[2303].end 12909.03471875
transcript.pyannote[2304].speaker SPEAKER_13
transcript.pyannote[2304].start 12909.03471875
transcript.pyannote[2304].end 12909.18659375
transcript.pyannote[2305].speaker SPEAKER_14
transcript.pyannote[2305].start 12909.18659375
transcript.pyannote[2305].end 12909.28784375
transcript.pyannote[2306].speaker SPEAKER_13
transcript.pyannote[2306].start 12909.28784375
transcript.pyannote[2306].end 12909.35534375
transcript.pyannote[2307].speaker SPEAKER_14
transcript.pyannote[2307].start 12909.35534375
transcript.pyannote[2307].end 12909.47346875
transcript.pyannote[2308].speaker SPEAKER_13
transcript.pyannote[2308].start 12909.47346875
transcript.pyannote[2308].end 12910.26659375
transcript.pyannote[2309].speaker SPEAKER_14
transcript.pyannote[2309].start 12910.26659375
transcript.pyannote[2309].end 12915.19409375
transcript.pyannote[2310].speaker SPEAKER_13
transcript.pyannote[2310].start 12910.43534375
transcript.pyannote[2310].end 12938.34659375
transcript.pyannote[2311].speaker SPEAKER_14
transcript.pyannote[2311].start 12921.15096875
transcript.pyannote[2311].end 12923.46284375
transcript.pyannote[2312].speaker SPEAKER_14
transcript.pyannote[2312].start 12925.75784375
transcript.pyannote[2312].end 12928.62659375
transcript.pyannote[2313].speaker SPEAKER_02
transcript.pyannote[2313].start 12931.37721875
transcript.pyannote[2313].end 12931.51221875
transcript.pyannote[2314].speaker SPEAKER_14
transcript.pyannote[2314].start 12931.51221875
transcript.pyannote[2314].end 12931.54596875
transcript.pyannote[2315].speaker SPEAKER_02
transcript.pyannote[2315].start 12931.54596875
transcript.pyannote[2315].end 12931.61346875
transcript.pyannote[2316].speaker SPEAKER_14
transcript.pyannote[2316].start 12931.61346875
transcript.pyannote[2316].end 12933.30096875
transcript.pyannote[2317].speaker SPEAKER_14
transcript.pyannote[2317].start 12933.60471875
transcript.pyannote[2317].end 12934.36409375
transcript.pyannote[2318].speaker SPEAKER_07
transcript.pyannote[2318].start 12936.35534375
transcript.pyannote[2318].end 12941.36721875
transcript.pyannote[2319].speaker SPEAKER_07
transcript.pyannote[2319].start 12941.82284375
transcript.pyannote[2319].end 12941.97471875
transcript.pyannote[2320].speaker SPEAKER_13
transcript.pyannote[2320].start 12941.89034375
transcript.pyannote[2320].end 12947.69534375
transcript.pyannote[2321].speaker SPEAKER_07
transcript.pyannote[2321].start 12943.93221875
transcript.pyannote[2321].end 12944.35409375
transcript.pyannote[2322].speaker SPEAKER_07
transcript.pyannote[2322].start 12947.64471875
transcript.pyannote[2322].end 12950.46284375
transcript.pyannote[2323].speaker SPEAKER_13
transcript.pyannote[2323].start 12948.99471875
transcript.pyannote[2323].end 12949.01159375
transcript.pyannote[2324].speaker SPEAKER_14
transcript.pyannote[2324].start 12949.01159375
transcript.pyannote[2324].end 12952.23471875
transcript.pyannote[2325].speaker SPEAKER_13
transcript.pyannote[2325].start 12952.23471875
transcript.pyannote[2325].end 12953.29784375
transcript.pyannote[2326].speaker SPEAKER_13
transcript.pyannote[2326].start 12954.05721875
transcript.pyannote[2326].end 12969.26159375
transcript.pyannote[2327].speaker SPEAKER_14
transcript.pyannote[2327].start 12957.90471875
transcript.pyannote[2327].end 12960.36846875
transcript.pyannote[2328].speaker SPEAKER_03
transcript.pyannote[2328].start 12969.26159375
transcript.pyannote[2328].end 12969.46409375
transcript.pyannote[2329].speaker SPEAKER_13
transcript.pyannote[2329].start 12969.46409375
transcript.pyannote[2329].end 12973.68284375
transcript.pyannote[2330].speaker SPEAKER_14
transcript.pyannote[2330].start 12970.76346875
transcript.pyannote[2330].end 12971.30346875
transcript.pyannote[2331].speaker SPEAKER_14
transcript.pyannote[2331].start 12972.19784375
transcript.pyannote[2331].end 12973.58159375
transcript.pyannote[2332].speaker SPEAKER_14
transcript.pyannote[2332].start 12973.68284375
transcript.pyannote[2332].end 12974.13846875
transcript.pyannote[2333].speaker SPEAKER_13
transcript.pyannote[2333].start 12974.13846875
transcript.pyannote[2333].end 12986.96346875
transcript.pyannote[2334].speaker SPEAKER_14
transcript.pyannote[2334].start 12974.37471875
transcript.pyannote[2334].end 12974.84721875
transcript.pyannote[2335].speaker SPEAKER_13
transcript.pyannote[2335].start 12987.95909375
transcript.pyannote[2335].end 12998.06721875
transcript.pyannote[2336].speaker SPEAKER_13
transcript.pyannote[2336].start 12998.50596875
transcript.pyannote[2336].end 13005.49221875
transcript.pyannote[2337].speaker SPEAKER_13
transcript.pyannote[2337].start 13006.48784375
transcript.pyannote[2337].end 13047.22409375
transcript.pyannote[2338].speaker SPEAKER_15
transcript.pyannote[2338].start 13012.69784375
transcript.pyannote[2338].end 13012.98471875
transcript.pyannote[2339].speaker SPEAKER_13
transcript.pyannote[2339].start 13047.56159375
transcript.pyannote[2339].end 13051.67909375
transcript.pyannote[2340].speaker SPEAKER_13
transcript.pyannote[2340].start 13052.13471875
transcript.pyannote[2340].end 13065.49971875
transcript.pyannote[2341].speaker SPEAKER_07
transcript.pyannote[2341].start 13065.60096875
transcript.pyannote[2341].end 13085.66534375
transcript.pyannote[2342].speaker SPEAKER_07
transcript.pyannote[2342].start 13085.83409375
transcript.pyannote[2342].end 13116.47909375
transcript.pyannote[2343].speaker SPEAKER_07
transcript.pyannote[2343].start 13116.69846875
transcript.pyannote[2343].end 13122.48659375
transcript.pyannote[2344].speaker SPEAKER_05
transcript.pyannote[2344].start 13122.45284375
transcript.pyannote[2344].end 13123.21221875
transcript.pyannote[2345].speaker SPEAKER_05
transcript.pyannote[2345].start 13123.75221875
transcript.pyannote[2345].end 13124.64659375
transcript.pyannote[2346].speaker SPEAKER_05
transcript.pyannote[2346].start 13125.54096875
transcript.pyannote[2346].end 13127.78534375
transcript.pyannote[2347].speaker SPEAKER_05
transcript.pyannote[2347].start 13129.32096875
transcript.pyannote[2347].end 13131.36284375
transcript.pyannote[2348].speaker SPEAKER_05
transcript.pyannote[2348].start 13131.61596875
transcript.pyannote[2348].end 13132.81409375
transcript.pyannote[2349].speaker SPEAKER_05
transcript.pyannote[2349].start 13134.70409375
transcript.pyannote[2349].end 13145.21721875
transcript.pyannote[2350].speaker SPEAKER_05
transcript.pyannote[2350].start 13145.84159375
transcript.pyannote[2350].end 13153.82346875
transcript.whisperx[0].start 1038.015
transcript.whisperx[0].end 1039.238
transcript.whisperx[0].text 谢谢观看,下次见!
transcript.whisperx[1].start 1740.265
transcript.whisperx[1].end 1767.035
transcript.whisperx[1].text 好 出席委員已足法定人數 我們現在開會請議事委員先宣讀上次會議議事錄立法院第十一屆第五會期交通委員會第十六次全體委員會議議事錄時間中華民國一百一十五年六月三日星期三上午九時至十二時四十分地點本院紅樓二零一會議室出席委員萬美玲等十四人 列席委員鍾嘉斌等八人列席官員 數位發展部部長林怡靜
transcript.whisperx[2].start 1768.135
transcript.whisperx[2].end 1796.629
transcript.whisperx[2].text 國家通訊傳播委員會代理主任委員陳崇樹等主席黃昭吉委員建豪報告事項宣讀上次會議議事錄決定議事錄確定討論事項一至六審查115年度中央政府總預算案關於數位發展部資通安全署數位產業署國家通訊傳播委員會單位預算附屬單位預算非營業部分通訊傳播監督管理基金有限廣播電視事業發展基金預算
transcript.whisperx[3].start 1797.469
transcript.whisperx[3].end 1819.603
transcript.whisperx[3].text 本日會議由數位發展部部長林怡靜及國家通訊傳播委員會代理主任委員陳崇樹等報告後暨有委員萬美玲等16人提出質詢軍警部長林怡靜代理主任委員陳崇樹等及相關人員分別予以答覆決議一報告及詢答完畢二委員傅坤祺等5人所提書面質詢軍列錄記錄並刊登公報
transcript.whisperx[4].start 1822.495
transcript.whisperx[4].end 1848.235
transcript.whisperx[4].text 三 委員於質詢中要求提供相關書面資料或未及答覆部分請數位發展部國家通訊傳播委員會及相關機關監訴以書面答覆四 討論事項第一案至第六案委員預算提案於六月十日下午四時前截止收件散會宣讀完畢好 請問在場委員對於上次會議事錄有沒有意見沒有喔 好 那議事錄確定
transcript.whisperx[5].start 1849.738
transcript.whisperx[5].end 1874.867
transcript.whisperx[5].text 那麼現在先介紹在場委員李坤哲委員侯孟楷委員列席官員交通部部長陳士凱部長鐵道局局長楊振軍局長台灣高鐵董事長史哲董事長
transcript.whisperx[6].start 1877.892
transcript.whisperx[6].end 1892.27
transcript.whisperx[6].text 柴鐵公司總經理馮輝昇總經理本人會議進行交通部就5月25日高鐵班次嚴重霧點事件之專題報告我們現在邀請交通部陳世凱部長報告
transcript.whisperx[7].start 1902.233
transcript.whisperx[7].end 1930.698
transcript.whisperx[7].text 主席、各位委員、女士先生首先5月25號高鐵發生耗質異常的事件導致列車大幅減班以及降級運轉影響10萬以上的旅客的行程並且有多位的委員也受到了波及跟影響甚至影響到大院的議事運作交通部僅向所有受到影響的委員以及廣大的旅客致上深切的道歉
transcript.whisperx[8].start 1932.623
transcript.whisperx[8].end 1949.537
transcript.whisperx[8].text 關於事件發生的原因經高鐵公司初步判定為轉測器控制機箱電源模組更新作業後轉測器失去定位訊號系統基於失效趨向的安全設計原則隨即作動
transcript.whisperx[9].start 1952.6
transcript.whisperx[9].end 1963.559
transcript.whisperx[9].text 運轉保護機制強制列車需經由人工授權核准進入並且減速通行以確保安全本人已經責成
transcript.whisperx[10].start 1965.288
transcript.whisperx[10].end 1993.446
transcript.whisperx[10].text 鐵道局針對本市進行調查並且要求高鐵公司會同設備原廠洽第三方單位共同釐清事故的原因同時本部也將督導高鐵公司全面檢討設備更新以及風險管控以提升高鐵系統營運的韌性以及服務穩定性確保運輸安全以及服務的品質以下
transcript.whisperx[11].start 1994.921
transcript.whisperx[11].end 2001.869
transcript.whisperx[11].text 請鐵道局楊振軍局長對本事進行詳細的報告敬請各位委員會與指教謝謝
transcript.whisperx[12].start 2013.777
transcript.whisperx[12].end 2036.375
transcript.whisperx[12].text 主席各位委員那鐵道局就5月25號高鐵班次嚴重污點事件相關的事件概況應變處置及後續的改善對策進行說明跟報告 敬請各位委員指教那本次事件的概況如同剛剛部長所報告的在5月25號上午5點38分鐵道局及街貨高鐵公司的通報
transcript.whisperx[13].start 2037.236
transcript.whisperx[13].end 2057.931
transcript.whisperx[13].text 那麼相關的這些運轉上的限制確實會造成整個路線上的這樣的一個影響那麼在高鐵公司上午8點鐘為了要讓路線上的列車得以疏散因為剛剛講的這個人工授權的這樣的一個進入方式會造成更大的一個延誤所以從早上8點開始採取降級運轉班表
transcript.whisperx[14].start 2062.034
transcript.whisperx[14].end 2080.32
transcript.whisperx[14].text 每小時從南港跟左營各開出三班次的各站停靠的營運列車並提早收班以利夜間的時段進行詳細查修那本部的應變作為根據高鐵公司發生的這樣的一個設備異常並且造成大規模的延誤
transcript.whisperx[15].start 2081.44
transcript.whisperx[15].end 2102.851
transcript.whisperx[15].text 本部署立即採取跨運距聯防措施整合台鐵公司資源協助輸印之外並責成高鐵公司強化旅客資訊的傳遞部長一即在當日下午即召開緊急應變會議邀集武聖雲次長、鐵道局、公路局、高鐵公司、台鐵公司研商搶修與輸印的對策
transcript.whisperx[16].start 2103.551
transcript.whisperx[16].end 2131.303
transcript.whisperx[16].text 全力協助高鐵競速恢復正常營運相關的應變作為包括第一 運具聯防措施台鐵從當日上午10點起西部幹線所有新自強號對車列車全面開放站票以擴充運能上午10點起自強號及徵停新烏日站計44個班次徵停苗栗站16個班次下午尖峰時段並加開七堵道彰化間新自強號兩班次
transcript.whisperx[17].start 2132.967
transcript.whisperx[17].end 2148.927
transcript.whisperx[17].text 第二高鐵尖峰運能的調度除了前述每小時三班次之外呢在下午通勤時段呢並要求高鐵公司加開南港到台中間共八個班次每站停靠的全車自由座以紓解下班的尖峰人潮
transcript.whisperx[18].start 2149.768
transcript.whisperx[18].end 2177.863
transcript.whisperx[18].text 收班後的搶修作業第一要求高鐵公司優先恢復確認這個整個原來的設備跟本次事件電源模組新品瑕疵或其他設備故障所致第二建立停損的檢核點如果夜間搶修在凌晨3點30分仍然無法順利修復的話應立即採取所謂的應變計畫包括啟動備用班表還有尖峰時段的
transcript.whisperx[19].start 2178.543
transcript.whisperx[19].end 2197.602
transcript.whisperx[19].text 這個重點輸運措施第二是台鐵公司的資源輸運第三是以軌道為優先的這樣的一個輸運方式將國道級公路客運列入新竹台北桃園台北間的區區段備援方案第三備妥資源及專家協作要求
transcript.whisperx[20].start 2198.283
transcript.whisperx[20].end 2214.901
transcript.whisperx[20].text 高鐵公司將相關聯的所有備品全數帶入現場並持續由三位日本籍顧問協助查修跟排查所謂的可能的問題第四是旅客資訊透明化與票務措施的改善為明確提供更明確的到站跟延遲時間
transcript.whisperx[21].start 2216.102
transcript.whisperx[21].end 2236.702
transcript.whisperx[21].text 希望高鐵公司能夠就降速區段所造成之列車延誤影響情形於各個管道公布明確的備用時刻表跟預估的到站時間移工旅客評估它的行程第二是研議線上的退費機制現階段所有的退費跟退票的物點證明都必須要在現場
transcript.whisperx[22].start 2238.324
transcript.whisperx[22].end 2257.723
transcript.whisperx[22].text 臨櫃來去做這樣的一個申請那會造成現場旅客的排隊跟酒後不便那所以要求高鐵公司後續能夠評估增加線上退費的功能以利於原來在線上購票付款的旅客能夠直接在系統上面完成退票的這樣的一個動作避免在現場做排隊酒後
transcript.whisperx[23].start 2258.624
transcript.whisperx[23].end 2276.513
transcript.whisperx[23].text 第四是有關事件原因的調查針對本起事件的發生原因鐵道局已經啟動調查程序並督導高鐵公司改善第一點作為是要求保全證據跟啟動第三方更因的調查要求高鐵公司就本次事件相關的四個電源模組兩組電子連鎖
transcript.whisperx[24].start 2278.554
transcript.whisperx[24].end 2293.104
transcript.whisperx[24].text 直端直流端子單元以及兩組EI終端轉換器競速委由第三方公正單位進行檢測會同原廠設備共同釐清事件的根本原因第二鐵道局已經在5月29號派員至高鐵公司了解狀況
transcript.whisperx[25].start 2294.782
transcript.whisperx[25].end 2322.043
transcript.whisperx[25].text 目前的了解是該組的電源模組為20年必要的一個汰換設備全線總共有458組高麗公司自113年起執行為期三年的耗資系統更新作業事發前已經完成371組約80%左右的這樣的一個更換那本次更換電源模組所造成的異常太陽是過去三年以來第一次遇到的這樣的一個情況
transcript.whisperx[26].start 2323.044
transcript.whisperx[26].end 2348.173
transcript.whisperx[26].text 第二點 要求高鐵公司強化風險管控本次事件凸顯為期三年之耗資系統更新計畫風險評估管控上仍有隱患要求高鐵公司應該要審慎評估後續的施工排程目前高鐵公司已經暫停SMC電源模組的更換專案待事件的根本原因釐清之後再重新啟動第三 要求高鐵公司應變程序的精進
transcript.whisperx[27].start 2349.093
transcript.whisperx[27].end 2373.43
transcript.whisperx[27].text 比如剛剛所提到的旅客資訊傳遞跟退費機制的優化等等最後本次事件發生在上午通勤跟上午屢次尖峰時段影響區域在苗栗至台中間重要路段而且影響範圍較大因此造成大規模的延誤本部除了盡速取動運具聯防相關措施之外呢希望能夠將旅客的影響
transcript.whisperx[28].start 2374.25
transcript.whisperx[28].end 2399.71
transcript.whisperx[28].text 降至最低 鐵道局已經啟動調查程序高鐵公司也已經保存相關的設備將會同設備原廠及第三方公正單位查明事件的根本原因以做必要的一個改善避免類似的事件再次發生以上是鐵道局的報告 敬請各位委員指導 謝謝好 謝謝部長 謝謝局長那我們接下來請高鐵公司董事長史哲董事長報告
transcript.whisperx[29].start 2410.39
transcript.whisperx[29].end 2431.126
transcript.whisperx[29].text 主席各位委員各位女士各位先生今天受邀到貴委員會針對5月25號高鐵班次嚴重污點事件進行專題報告在正式報告之前我要再次代表高鐵公司向當天形成受到延誤的所有旅客以及大院許多委員及部長等貴賓呈置至上12萬分的歉意本公司除深切檢討並全面檢視系統設備營運服務緊急應變機制設定短中長期三階段目標啟動系統韌性強化計畫
transcript.whisperx[30].start 2438.312
transcript.whisperx[30].end 2440.641
transcript.whisperx[30].text 消除預見性風險全面提升高鐵營運服務的穩定度
transcript.whisperx[31].start 2443.004
transcript.whisperx[31].end 2471.923
transcript.whisperx[31].text 首先營運前突發緊急搶修的狀況的說明這起事件起因於5月25號凌晨4點27分維修人員1計劃更換轉測器控制機箱SMC的電源免阻這也是高鐵之ATC EI中體檢修作業當中的一項整體計劃於116年底預計來完成該作業已行順利完成全線458組中的371組SMC的電源模組更換當天更換後卻發生倒差無法取得定位序號的異常狀況
transcript.whisperx[32].start 2473.144
transcript.whisperx[32].end 2480.207
transcript.whisperx[32].text 基於高鐵系統失效自驅安田的保護機制西線自動鎖定55.4公里東線鎖定6.6公里維修團隊隨即展開搶修於5點15分進行ER中段
transcript.whisperx[33].start 2489.271
transcript.whisperx[33].end 2505.482
transcript.whisperx[33].text 短轉換器ET2的重置雖然未能恢復倒插的訊號但C線鎖定範圍已經大幅減少了一半僅剩28.8公里然由於營運時間即將開始故障仍無法排除於5點38分成立緊急應變中心全力搶修與維持營運並行
transcript.whisperx[34].start 2508.032
transcript.whisperx[34].end 2532.905
transcript.whisperx[34].text 緊急應變中心成立後 為時營運不至於完全中斷決定先採取東線雙向運行並依規章由行控中心採行進入權授權方式進行通測同時由維修人員持續全力搶救同時透過新聞及企業網站T-Express推播告知旅客耗資異常暫時採用單線雙向運行每班次都將有所延誤
transcript.whisperx[35].start 2534.585
transcript.whisperx[35].end 2555.212
transcript.whisperx[35].text 6點54分完成倒岔扣甲鎖定西線鎖定範圍再縮至7.4公里經緊急應變中心評估可執行雙線運行但依據安全作業規範鎖定範圍內必須以進入授權的方式逐次授權單一列車通過並且以每個小時40公里5公里以下的低速通過
transcript.whisperx[36].start 2556.593
transcript.whisperx[36].end 2570.853
transcript.whisperx[36].text 7點50分為避免累積性延誤擴大EOC決定自8點起降級運轉每小時至端點開出三班全車自由坐端點站發車時刻為整點20分及40分以提供旅客基本的營運服務各項營運變更的訊息隨即透過簡訊發送
transcript.whisperx[37].start 2572.375
transcript.whisperx[37].end 2592.165
transcript.whisperx[37].text 九萬一千一百三十五通則訊息通知購票時有留手機號碼的旅客以及使用定期回溯票的通行旅客此外也透過持續透過新聞跑馬Line Today企業網站數位客服及客服中心持續更新營運訊息整體當日訊息發送二十九則
transcript.whisperx[38].start 2594
transcript.whisperx[38].end 2623.326
transcript.whisperx[38].text 維持降級運轉是為了避免延誤惡化恐造成營運的中斷在此同時維修團隊的搶修工作仍持續將進行在10點38分移除EI直流末端單元ETD的第二系之後東線的鎖定範圍再縮小至3.2公里12點45分執行苗栗台中區間約56公里列車進空後關閉再重啟E2系EI道旁控制單元EWU起始EWU恢復初期開機模式
transcript.whisperx[39].start 2624.086
transcript.whisperx[39].end 2648.856
transcript.whisperx[39].text 重新與道旁設備建立聯繫嘗試排除故障然而未能恢復訊號經評估路線淨空作業已導致後續列車產生更大幅度的延誤甚至可能持續惡化造成營運中斷在兩害相權之下EOC決定維持原降級運轉的模式維持提供旅客基本的旅運服務26日零點
transcript.whisperx[40].start 2651.087
transcript.whisperx[40].end 2679.045
transcript.whisperx[40].text 維修人員提早進駐道旁待命末班車通過後即進場搶修1點43分完成東西線四組SMC兩組ETD兩組ET2全線耗資恢復正常3點半EOC確定各項設備正常可以恢復正常營運5點透過各種管道全面對旅客宣布臺灣高鐵26日全天正常營運各車市依照時刻表發車以上僅簡要說明搶修過程接下來向各位委員報告此一事件公司深刻的檢討與反省
transcript.whisperx[41].start 2680.726
transcript.whisperx[41].end 2704.636
transcript.whisperx[41].text 我想停止是最簡單的選擇維持營運背後的決策考量提供旅客安全準點的服務是台灣高鐵作為交通營運業者最基本的任務因此當日自營運前維修同仁及盡力嘗試各種修復方式搶修過程中營運同仁也不斷研擬在安全的前提下可行的營運調度模式降級運轉是為了維持旅客搭車的基本需求而必須承擔的選擇
transcript.whisperx[42].start 2706.457
transcript.whisperx[42].end 2729.183
transcript.whisperx[42].text 5月25號高鐵實際營運122班次較原定班點好的156班次減少34班旅運量原本預估是20萬人次最後實際營運量為18.4萬人次顯示超過九成的旅客確實透過高鐵完成各項重要的旅程但是我們還是必須對於延誤保持抱歉針對本次更換轉測器控制機箱
transcript.whisperx[43].start 2730.163
transcript.whisperx[43].end 2738.048
transcript.whisperx[43].text 電源模組首次出現異常發生也就是為期三年的系統升級計畫至2024年啟動預計今年底完成總計全線458組SMC電源模組5月25日前已順利完成371組更換預計八成但卻從無出現類似的異常狀況
transcript.whisperx[44].start 2747.894
transcript.whisperx[44].end 2766.496
transcript.whisperx[44].text 營運即將滿20年的高鐵各項系統設備使用皆已超過20年繼續進行軟硬體的太舊換新的工作而在兼顧日常營運的太舊換新狀況下維修同仁僅能利用每日營運結束後的4.5小時進行維修時間同時完成例行的保養維修及更新作業挑戰的艱鉅更勝於營運初期
transcript.whisperx[45].start 2773.049
transcript.whisperx[45].end 2782.135
transcript.whisperx[45].text 痛定思痛事件發生以來我們已經透過多次內部的會議擬定短中長期的計畫目標啟動系統認識的強化計畫全面提升高鐵營運服務的這個穩定度
transcript.whisperx[46].start 2787.062
transcript.whisperx[46].end 2803.261
transcript.whisperx[46].text 我想從短期來說當務之急是立刻找出事情的根因因此我們立即暫停了SMC電源模組的更換將此次故障的八項組件拆下並上鎖封存靜待第三方也就是
transcript.whisperx[47].start 2804.523
transcript.whisperx[47].end 2817.978
transcript.whisperx[47].text 鐵道技術研究及驗證中心以及高雄科技大學鐵道技術中心等第三方公正單位與原廠以及高鐵共同調查以確實找出根因這個委託的工作已經完成並且已經目前在進行當中
transcript.whisperx[48].start 2819.349
transcript.whisperx[48].end 2848.186
transcript.whisperx[48].text 中期我們也要求維修單位全面檢視夜間維修作業的規範針對可能影響隔日正常營運的重點維修項目設定最後檢視的時間點並且預留營運的時間避免發生異常後只顧全力搶修而錯失了應變的黃金時間同時透過營運大數據的分析建立營運異常制應變方案模組以縮短決策時間降低對營運的衝擊並且提供旅客預估延遲到達的時間以利於旅客後續的行程安排
transcript.whisperx[49].start 2849.694
transcript.whisperx[49].end 2875.381
transcript.whisperx[49].text 長期而言,台灣高鐵將全面檢視各項營運系統,如耗製、電力、車輛及軌道,原定資產年限為35年的系統,營運已超過20餘年,為確保系統韌性,避免設備老舊影響營運可靠度,將評估投入超過2000億資本支出,提前更新、重置關鍵設備,進一步提升系統穩定及韌性,確保營運安全。
transcript.whisperx[50].start 2876.221
transcript.whisperx[50].end 2901.804
transcript.whisperx[50].text 現在的高鐵所面臨的挑戰與20年前營運初期截然不同在未來關鍵的幾年我們有信心在更新與營運並行的過程當中持續突破新的局面讓高鐵持續向前邁進永續穩健的發展針對此事發間各界的批評與指教我們除了虛心接受深切檢討反省之外今天也在非常誠摯的向各位委員以及國人道歉希望大院給我們建議編冊指導謝謝
transcript.whisperx[51].start 2906.158
transcript.whisperx[51].end 2926.938
transcript.whisperx[51].text 好 謝謝我們史哲董事長報告那我們現在開始進行詢答先宣告以下事項詢答時間初期委員6加2分鐘列席委員4加1分鐘委員發言登記於10點30分截止各委員如果有臨時提案請於10點前提出以便議事人員會診我們暫定10點30分休息10分鐘現在請登記第一位李昆哲委員發言
transcript.whisperx[52].start 2937.674
transcript.whisperx[52].end 2944.387
transcript.whisperx[52].text 謝謝召委 請一下陳士凱部長 史哲董事長 楊振軍局長 洪輝昇總經理來 請部長 董事長 兩位局長 總經理
transcript.whisperx[53].start 2952.128
transcript.whisperx[53].end 2968.22
transcript.whisperx[53].text 部長我先就教於現在社會大眾非常重視的獨駕的議題一吞米子就是喪屍煙彈的這樣造成獨駕的多起的嚴重交通事故造成
transcript.whisperx[54].start 2969.401
transcript.whisperx[54].end 2993.474
transcript.whisperx[54].text 非常多人的傷亡那社會大眾非常的驚恐以及注意這件事情那現在獨駕就好像是不定時不定向四處亂竄的麻木的一個攻擊的飛彈那對於國人的生命安全造成非常大的一個威脅那卓院長也非常重視這樣相關的議題
transcript.whisperx[55].start 2995.819
transcript.whisperx[55].end 3018.25
transcript.whisperx[55].text 也跟部長也多所討論相關的防治的一個措施那交通部是重要的夜館的一個單位我就針對幾個方向來跟部長討論也希望部長有初步的一個說明第一個就是研議加重獨駕的駕照處分這就是說我們針對獨駕之後要
transcript.whisperx[56].start 3021.98
transcript.whisperx[56].end 3050.559
transcript.whisperx[56].text 延長重新的考照時間而且必須要完成相關的讀引的一個介制另外就是我認為如果是獨駕造成重傷或者是死亡或者是他的駕照遭到吊銷之後他再次的獨駕我認為都要限制終身不得考照部長你簡單說明一下好 向委員報告
transcript.whisperx[57].start 3051.759
transcript.whisperx[57].end 3076.485
transcript.whisperx[57].text 確實獨駕的問題讓社會的大眾非常的驚恐這段時間行政院其實也不斷的在召開會議針對獨駕這件事情法務部就刑法的層面那內政部就執法的層面而交通部的部分主要就是就監理的層面車輛監理的層面我們來做管理那一方面我們對於獨駕的這個加重罰環的部分其實我們已經在研擬我們希望說
transcript.whisperx[58].start 3077.105
transcript.whisperx[58].end 3097.473
transcript.whisperx[58].text 在6月份也就是這個月以內要提出方案我們希望說研發的部分12萬到9萬12萬到9萬12萬是汽車的部分9萬是機車的部分這個部分要提高罰款第二針對委員在提醒的這個駕照的管理的部分確實我們有幾個層面在處理一方面
transcript.whisperx[59].start 3097.913
transcript.whisperx[59].end 3126.245
transcript.whisperx[59].text 他獨駕的部分我們一定會延長未來他整個扣照跟這個吊銷駕照之後重考的這個限制一方面時間會拉長二方面如果致人於傷或致人於死可能終身不能考照這個是我們要努力的方向那另外對於預防性的這個駕照的管理我們也正在研議當中我們希望說未來只要有確定吸毒者確定吸毒者我們對於他的駕照我們先做吊扣跟吊銷的模式
transcript.whisperx[60].start 3127.065
transcript.whisperx[60].end 3148.057
transcript.whisperx[60].text 也就是說只要你確定吸毒我們預防性的就不允許你再開車所以對於駕照的部分我們也會來處理那最後針對車輛沒入的部分也是這兩天大家在討論也是我們交通部一直在研議的方向只要有獨駕的狀況我們過去是有可能是把它扣下來先保管車輛
transcript.whisperx[61].start 3148.717
transcript.whisperx[61].end 3176.655
transcript.whisperx[61].text 但未來我們會朝向沒入車輛的方向來前進也就是說我們要用最高最嚴重的監理的手段來防堵所有可能獨駕的可能性那相關的乘客的連帶責任這個社會有多所議論來部長你簡單說一下你的方向是什麼向委員報告未來只要你知道駕駛有吸毒你明知駕駛有吸毒但你乘坐在車上你沒有阻止他而且讓他繼續在獨駕的話
transcript.whisperx[62].start 3178.556
transcript.whisperx[62].end 3188.506
transcript.whisperx[62].text 那乘客要有共同責任不管有沒有肇事只要抓到你必須要有共同責任而共同的責任我們目前的方向是乘客也要罰一萬五千元
transcript.whisperx[63].start 3189.5
transcript.whisperx[63].end 3208.094
transcript.whisperx[63].text 好 那現在不管是加重獨駕的駕照的處分或者是研議要提高獨駕相關的滑滑額度以及累犯的加重處罰機制甚至是研議吊銷駕照後無照駕駛加重處罰的規定以及研議車輛的這樣的一個獨駕車輛的沒入相關的處置
transcript.whisperx[64].start 3213.118
transcript.whisperx[64].end 3232.231
transcript.whisperx[64].text 基本的方案部長剛才說六月底應該就會都出來是不是對我們最慢六月底前但我們希望越開越好越快越好這個時間也剛好是行政院在開行政院會的時候這有分成兩個部分一個是道安規則一個是道交條例我認為是要同步的進行那道安規則能夠處理的
transcript.whisperx[65].start 3234.352
transcript.whisperx[65].end 3260.988
transcript.whisperx[65].text 我認為是可以優先處理的例如換照訂定相關的戒營的這種條件或是符合條件先發短期駕照的這種機制的討論這個都可以先做那道交條例的部分必須要同步研擬就是包括調整罰則還有累犯的家法沒入車輛同層責任等等也必須趕快提出相關的方案這個我們會加速進行
transcript.whisperx[66].start 3261.508
transcript.whisperx[66].end 3281.542
transcript.whisperx[66].text 那我請高鐵董事長我們針對高鐵的這樣的一個5月25清晨4點27分開始營運之前就發生這樣的一個我們轉車器控制機箱因為要換電源模組那因為電流不穩造成倒插系統的
transcript.whisperx[67].start 3282.674
transcript.whisperx[67].end 3298.537
transcript.whisperx[67].text 定位的訊號消失造成重大的延誤那延誤5分鐘以上總共113班那造成旅客的延誤達到114908人那我要請教一下董事長4點27分發生狀況那你們的應變中心是幾點成立的我們應變中心是5點38分
transcript.whisperx[68].start 3310.791
transcript.whisperx[68].end 3329.106
transcript.whisperx[68].text 5點38分你什麼時候知道高鐵出狀況大概應該就是在5點38分之後我就接到電話就同時成立應變中心那應變中心我知道招集人應該是總經理那我請教一下董事長你們相關的應變中心的這樣的一個分工
transcript.whisperx[69].start 3330.117
transcript.whisperx[69].end 3353.912
transcript.whisperx[69].text 以及你扮演的角色是什麼來簡單說明一下我想應變中心的相關的召集人都是由我們經理部門那最高層級當然就是有總經理召集那他這個代表的意思也就是公司治理跟公司的在業務上的執行是分開來進行尤其在執行面當然是由實際負責以及經驗的總經理部門來進行因此這個分工非常的清楚那也行之多年
transcript.whisperx[70].start 3354.312
transcript.whisperx[70].end 3376.459
transcript.whisperx[70].text 那但是在執行的過程當中隨時當然都會跟我報告那我也隨時掌握所有的訊息那最終當然是由董總來負最後權責的董事長我有意見是在整個5月25號造成113班5分鐘以上的延誤將近11萬5000的旅客交集的不知所措
transcript.whisperx[71].start 3377.259
transcript.whisperx[71].end 3389.938
transcript.whisperx[71].text 你們在處理相關的應變但是社會大眾啊質疑的是在整個過程裡面你們雖然有發言人的制度但是啊沒有看到董事長或總經理啊親自向社會大眾說明來
transcript.whisperx[72].start 3391.856
transcript.whisperx[72].end 3411.532
transcript.whisperx[72].text 這個我是有意見的 來說明一下好 謝謝 謝謝委員我想我們所有政府各級單位事實上在應變的當下我想關鍵的其實是第一線同仁的應變那所以說事實上都是由相關單位的發言機制來發言而不是由首長來親自發言這個我想存在於各單位及各級政府都是如此那事後
transcript.whisperx[73].start 3411.972
transcript.whisperx[73].end 3426.388
transcript.whisperx[73].text 整體的說明當然可以是由首長或者是經理部門或者是董事長來說明事實上在最後的清晨五點的說明也是董事長這是一般機制的一個運行那我認為像這樣5月25號重大的延誤
transcript.whisperx[74].start 3427.389
transcript.whisperx[74].end 3442.476
transcript.whisperx[74].text 董事長或總經理必須在適當的時機因為他營務的是整天的一個車程造成國人的困擾董事長跟總經理應該在適當的時機就必須要出來做說明這個以後要檢討改進委員我們願意來檢討改進因為這個轉車器控制機箱你們認為這個電源模組
transcript.whisperx[75].start 3447.498
transcript.whisperx[75].end 3466.273
transcript.whisperx[75].text 因為電流不穩現在是最終的原因嗎查清楚了嗎跟委員報告我想這個電源模組最終的原因目前現在正在查我請教董事長我請教董事長你們在這個電源模組在更新之前新的電源模組你們有經過測試嗎
transcript.whisperx[76].start 3468.868
transcript.whisperx[76].end 3476.455
transcript.whisperx[76].text 跟委員報告一下我們要到現場去的時候在實驗室都會先測試過沒問題才會帶到現場去好你認為沒問題然後你們換下來之後有問題了然後你們舊瓶當時有沒有說再把舊瓶裝回去試看看
transcript.whisperx[77].start 3486.732
transcript.whisperx[77].end 3492.737
transcript.whisperx[77].text 那你們更換的時候除了你們說之前有經過測試這個電源模組有先測試你們去換的時候有沒有帶備品如果說這個新的你們認為測試沒有問題但是換了上去之後有問題你們有帶備品再做一次更換嗎
transcript.whisperx[78].start 3512.972
transcript.whisperx[78].end 3538.581
transcript.whisperx[78].text 跟委員報告一下就是電臉模子我們這次是換電臉四個電臉模子其實是下面是相關還有很多的設備那一般來講我們到現場去做維修的時候一定會帶必要的備品但是不可能全部的備品都帶那因為這個工作地點離車站很近所以萬一有問題的時候我們就會馬上到車站去就是從車站那邊取備品我們在車站都有備備品像以這一次來講我們這樣花了十分鐘的時間去取備品
transcript.whisperx[79].start 3539.821
transcript.whisperx[79].end 3563.399
transcript.whisperx[79].text 好 現在我要請教一下就是我們相關的故障的這些組件現在是先拆下來嘛 對不對那預計要進行相關的分析那你們這個分析是你們自己內部的一個檢測分析呢還是會送回原廠去做分析呢還是由第三方來進行相關的一個公正的分析
transcript.whisperx[80].start 3564.019
transcript.whisperx[80].end 3588.342
transcript.whisperx[80].text 我們那個交給第三方認證 但是原廠要參與所以目前這個我們都已經談好 已經開始在執行檢測報告預計什麼時候會出來檢測報告的提出時間當然是要提出不可能無限場那這個檢測報告我們也責成第三方跟原廠他們要預定一個時間來報告給我們那目前還沒有報告出來 不會要求要有一個時間限制
transcript.whisperx[81].start 3589.096
transcript.whisperx[81].end 3616.653
transcript.whisperx[81].text 那相關現在目前高鐵的幾組的運作轉測器倒插系統你們在目前的檢測相關的一個檢查在目前有沒有問題這樣這一次出問題的更新工作目前已經暫停我們希望等初步問題釐清以後再持續進行你們現在已經更換了371組嘛是就是在全線458組的大概八成左右啦是沒有錯那故障
transcript.whisperx[82].start 3617.794
transcript.whisperx[82].end 3631.813
transcript.whisperx[82].text 還沒有查清楚之前現在是必須要全部停止更換的這些相關的作業是不是是那最主要說我們針對高鐵的這樣的一個運行我再提醒部長跟董事長
transcript.whisperx[83].start 3633.196
transcript.whisperx[83].end 3652.962
transcript.whisperx[83].text 平日大概平均搭車人次會超過24萬那高峰的假日會超過30萬這個那個延誤對於國人對於高鐵長久建立的安全的形象以及有效率準點的形象都大受衝擊部長最後讓你做一個簡單的說明
transcript.whisperx[84].start 3654.725
transcript.whisperx[84].end 3683.365
transcript.whisperx[84].text 向委員報告這次施行的發生當然對國人的影響相當相當大所以後續的處理包含剛剛石董事長所報告的整體的檢測該怎麼樣找出原因這個我們當然要檢討那另外對於整體的運輸的韌性我們也在做檢討高鐵有狀況的時候台鐵能不能跟得上能夠來協助讓所有的國人不管從哪裡要到哪裡當一個系統失靈的時候或者是阻塞的時候另外一個系統可以跟上這個部分我們會深刻來檢討
transcript.whisperx[85].start 3684.449
transcript.whisperx[85].end 3684.854
transcript.whisperx[85].text 並且做好規劃
transcript.whisperx[86].start 3686.276
transcript.whisperx[86].end 3712.565
transcript.whisperx[86].text 最後因為在整個高鐵延誤的過程裡面當然有透過一些途徑方式來告知相關的旅客但是在整個過程裡面我們對於民眾的資訊他們獲取的途徑還是不足不知道什麼時候在車上或是在車站也不知道相關的這些通車的資訊或是處置的資訊
transcript.whisperx[87].start 3715.775
transcript.whisperx[87].end 3730.56
transcript.whisperx[87].text 還是還是非常不足這個董事長以後都要做全面的檢討這個部分我們會作為檢討的重點謝謝 以上好 謝謝李昆哲委員 謝謝各位接下來我們請侯孟楷委員發言
transcript.whisperx[88].start 3739.96
transcript.whisperx[88].end 3746.222
transcript.whisperx[88].text 好 主席謝謝 麻煩請陳部長跟高鐵石董事長陳部長跟董事長
transcript.whisperx[89].start 3751.82
transcript.whisperx[89].end 3771.332
transcript.whisperx[89].text 好 部長好委員好部長 兩個時事題先請教還是關心獨駕的部分大家都關心那我想本席從三個禮拜前就已經提出來是說本席也已經著手修法版本包括刑法185條以及我們盜交條例就是認為是說獨駕比酒駕更加的可惡可怕為什麼
transcript.whisperx[90].start 3771.932
transcript.whisperx[90].end 3796.295
transcript.whisperx[90].text 因為他有可能像昨天我跟警政署署長來質詢的時候他有可能毒架因為現在用電子菸載具其實是非常方便也因此他有可能是邊開邊吸那其實是更加的危險跟可怕好那如果說真的是這樣的話我想毒架零容忍這是態度問題也因此我們講是說毒架如果說抓到的話很抱歉不是只有駕照吸毒有沒有辦法
transcript.whisperx[91].start 3797.156
transcript.whisperx[91].end 3809.723
transcript.whisperx[91].text 有犯法嘛他比無照駕車的刑責還要高嘛所以如果說他都吸毒吸毒了那你覺得毒寵還會care是說他到底有沒有駕照或是說駕照有沒有過期嘛我想
transcript.whisperx[92].start 3810.646
transcript.whisperx[92].end 3833.081
transcript.whisperx[92].text 以常理判斷很難嘛也因此我們就講是說其實重點在於是那個交通工具不要讓它上路你敢吸毒已經犯法但如果你吸毒又上路就變成是不定時炸彈你有可能危害到其他人的生命財產安全的時候我們就要沒路車輛也因此本席就提出如果說毒價抓到的話就是沒路車輛不管你開什麼車一律沒路
transcript.whisperx[93].start 3833.641
transcript.whisperx[93].end 3848.255
transcript.whisperx[93].text 那現在昨天次長有講是說會往這個方向來研擬那部長你的態度呢向委員報告剛剛上一位委員有詢問的過程當中我也說明的很清楚針對車輛沒入的方向我們確實是朝這個方向而且不管
transcript.whisperx[94].start 3849.396
transcript.whisperx[94].end 3874.151
transcript.whisperx[94].text 獨駕者是不是車主即便不是他的車我們的車輛都要沒入我們朝這個方向在修法如果大院支持的話我們朝這個方向到時候通過我們就照這樣來執行所以沒入車輛的部分我們會來做我覺得本席的版本本席的版本是如果說他不是車主的話那原本車主有善盡告知責任的話那也許不沒入車輛但是駕駛者加重刑責二分之一
transcript.whisperx[95].start 3874.671
transcript.whisperx[95].end 3899.681
transcript.whisperx[95].text 那行政院的版本是說一律沒車輛我覺得這都可以討論到時我們在主條的時候來討論但重點在於是要讓獨駕者知道你吸毒已經錯誤吸毒還開車就是不對就是要把你的車輛沒路那如果說你明明已經沒有車了還去開別人的車或者是去租別人的車譬如說現在有很方便這個租車系統
transcript.whisperx[96].start 3900.501
transcript.whisperx[96].end 3923.934
transcript.whisperx[96].text 他去租別人的車來開你獨駕車來開的話你一樣有責任而且這個責任只會更重我想這是我們共同的共識所以我們就一起來努力我希望到最後逐條討論不管是在刑法或到家條例的時候我們一起展現這樣的態度好不好來另外部長再請教另外第二個部分是因為昨天我看到一個新聞那還有兩個禮拜以前也看到這個轎車平台
transcript.whisperx[97].start 3925.595
transcript.whisperx[97].end 3952.718
transcript.whisperx[97].text 他有說研議要開放我們在台灣用這個摩托車來載客我看第一時間因為現在現行法例是不允許那第一時間交通部也講是說不會開放但我想請教因為昨天我們又看到有新聞那到底有沒有平台業者真的有提出這樣的申請以及我們交通部的態度是什麼向委員報告目前為止平台業者還沒有提出申請我們有在媒體看到這樣的訊息他們打算做這樣子的業務
transcript.whisperx[98].start 3954.139
transcript.whisperx[98].end 3971.351
transcript.whisperx[98].text 那交通部的態度到目前為止並沒有啟動研議這件事但現行的法令跟法規上面是不行的如果真的他們這麼做了真的這麼做了我們該開罰的部分我們會要求地方政府應該要執行他們該有的法令的法則好
transcript.whisperx[99].start 3972.492
transcript.whisperx[99].end 3993.995
transcript.whisperx[99].text 既然沒有研議本席當然東南亞有些國家是有摩托車載客但是以台灣來講我想我們現行的法令是不允許而且我們的相關的民情來說你說真的要開放可能還有很大的空間我本席非常要求交通部如果說真的有業者要來申請的話要非常謹慎的態度
transcript.whisperx[100].start 3995.577
transcript.whisperx[100].end 4001.59
transcript.whisperx[100].text 非常謹慎的態度 好不好來 再來接下來就是回到上個禮拜我們的高鐵的一個延誤的狀況
transcript.whisperx[101].start 4003.68
transcript.whisperx[101].end 4027.255
transcript.whisperx[101].text 我想先請教因為到目前為止我看了整篇的一個報告裡面還是有幾個問題點沒有釐清啦包括第十頁就是說現在我們更換的SNC的這個電源模組已經暫停了有458組那現在已經更換了371組但現在先全面暫停那直到整個釐清報告之後才做一個再後續再做一個進行
transcript.whisperx[102].start 4027.915
transcript.whisperx[102].end 4032.729
transcript.whisperx[102].text 那所以國人想要問的是說什麼時候才能得到最終的結果因為之前更換371組沒有問題啊
transcript.whisperx[103].start 4035.933
transcript.whisperx[103].end 4061.712
transcript.whisperx[103].text 對不對你不是說今天換一個然後就發生狀況嘛今天是前面換了371個我都肯定高鐵的同仁你通篇寫的就說只有晚上凌晨黃金時間4.5小時才能搶修才能去做更新我都肯定大家辛苦因為變成是大家在休閒的時候高鐵同仁以及我們工程人員在做工作那但是371個是成功的那為什麼在這第372個造成異常到底問題在哪裡
transcript.whisperx[104].start 4066.196
transcript.whisperx[104].end 4089.412
transcript.whisperx[104].text 是 謝謝委員的關心我想確實我們不可能無限期的讓這個調查繼續進行那這個調查目前第三方已經組成了是由鐵道技術研究中心以及高雄科技大學的鐵研中心來組成我想是由民間以及辦官方來組成同時會同日本原廠目前已經在進行拆封的工作以及這個相關問題的這個檢視工作所以什麼時間點可以出來
transcript.whisperx[105].start 4092.515
transcript.whisperx[105].end 4101.547
transcript.whisperx[105].text 我也要求他們不需要提出一個時程不過時程他們現在目前還沒有提出來我想在最近他們會提出來以後我想會讓大家社會大眾能夠了解
transcript.whisperx[106].start 4102.904
transcript.whisperx[106].end 4125.352
transcript.whisperx[106].text 所以速度是我想是由他們來提出期程一個月兩個月我想這個要由第三方來提出來我想這個才比較合理但是不能沒有期程這個我可以承諾好那另外就說371組的更換沒有問題對不對那到第372好那請教到目前為止一個禮拜過去有發掘任何的人為破壞嗎
transcript.whisperx[107].start 4127.728
transcript.whisperx[107].end 4149.705
transcript.whisperx[107].text 攻擊恐怖攻擊人為破壞有沒有我想我們不特別預設任何的成因不過我也跟委員報告整個的更換過程我跟董總兩個人我們事實上是有重新請他們再做一遍出來依照SOP做一次流程如果說今天真的有恐怖攻擊或人為破壞的話現在這個是刑事責任當然
transcript.whisperx[108].start 4150.526
transcript.whisperx[108].end 4177.619
transcript.whisperx[108].text 因為這有可能是危及到安全啦因為連部長當天受訪的時候都說不排除恐怖攻擊了所以一時間 第一時間這說實在話 有一說一我們就是論事一時間大家也會造成更加的人心浮動或人心惶惶嘛但我們也不要無限上綱什麼事情都推給好像境外勢力或什麼所以我在這件事情上面我還是秉持要專業專業了解釐清有就有沒有就沒有但不是無限上綱
transcript.whisperx[109].start 4178.879
transcript.whisperx[109].end 4197.519
transcript.whisperx[109].text 今天是董事長現在一個禮拜過去了有沒有查出任何的有可能的外部因素有沒有看到有任何人潛入破壞我們想繼續尊重第三方的查修的過程不過我們還是秉持一個立場就是我們並不預設任何的成因
transcript.whisperx[110].start 4198.26
transcript.whisperx[110].end 4221.323
transcript.whisperx[110].text 那這樣子本席一個建議來啦部長你當天困在哪邊我當天在車上我的說法其實很平衡第一有可能是設備的問題第二有可能是人為的問題那人為的問題又分幾種有可能是維修人員的問題也有可能是操作人員的問題也有可能是
transcript.whisperx[111].start 4222.424
transcript.whisperx[111].end 4244.409
transcript.whisperx[111].text 攻擊的問題都有可能我們不排除任何的成因我的說法是說不排除任何的成因不是說鎖定在攻擊這件事 並不是本席一個建議啦我來確認一下當天您也剛剛石董事長也已經提到了就是你是五點多就是這個緊急醫變中心成立之後你也同步獲得這個消息那什麼時間點確認是說當天確實因為
transcript.whisperx[112].start 4248.03
transcript.whisperx[112].end 4267.832
transcript.whisperx[112].text 上班再急那確認是說當天沒有辦法全線恢復通車可能一一個小時採取三班的一個列車的方式好謝謝委員能夠讓我說明我想因為他的發生時間點4點27分跟我們5點50分的發第一班車市場非常的接近這個時間點的痛苦是在這裡因此我們從4點27分到
transcript.whisperx[113].start 4271.074
transcript.whisperx[113].end 4291.181
transcript.whisperx[113].text 5點06分5點15分我們進行第一階段的搶修能夠請讓他的影響範圍從50多公里降到28公里董事長這我都理解關鍵是能夠在6我現在問的是說什麼時間點確認是說今天當天因為開通在即你沒有辦法搶修完畢那所以只能採取一個小時三班
transcript.whisperx[114].start 4291.821
transcript.whisperx[114].end 4314.458
transcript.whisperx[114].text 我們在將近七點的時候我們才能夠恢復雙線雙向那這個是確保他不會停止如果沒辦法恢復雙線雙向我坦白跟議員報告他就會變成跟2013年一樣的狀況就是他必須要全面停止因此在將近七點的時候恢復了雙線雙向的時候我們在七點半決定八點開始進行一小時三班
transcript.whisperx[115].start 4314.963
transcript.whisperx[115].end 4339.938
transcript.whisperx[115].text 好那八點決定一小時三班是不是也就了解說當天一整天如果說開始一個小時三班之後當天一整天在運行當中沒有辦法再做更積極的一個搶修我們在七點半決策八點鐘實施在當時就確定了一小時三班是不是能夠有進一步搶修我們在十點跟十二點的時候其實都有在進一步搶修對但有沒有辦法搶因為當天
transcript.whisperx[116].start 4341.121
transcript.whisperx[116].end 4361.99
transcript.whisperx[116].text 董事長當天是次長在現場次長跟我們交通委員會報告的一個狀況其實講的是說可能因為運行之後就沒有辦法因為他要持續運行你就沒有辦法再做維修也因此整天的行程應該都只能是當天三班也因此本行那時候才會在交通委員會的時候跟次長講
transcript.whisperx[117].start 4363.13
transcript.whisperx[117].end 4391.759
transcript.whisperx[117].text 這個是給我們所有運輸的專業的一個了解就是說我們才會跟次長講是說那這樣子你要提早公佈比如說晚上當天晚上的旅客如果說他有訂車票了你可能也要先讓他知道就是說今天確實沒有辦法可能全線都是要一天一個小時三班也因此你必須要提早到車站你必須要改坐自由坐而不是你認為是說我現在已經有晚上的車票但是現在搶休也可能搶休好或搶休不好
transcript.whisperx[118].start 4392.259
transcript.whisperx[118].end 4408.633
transcript.whisperx[118].text 我覺得這個適時的資訊的一個傳遞跟表達相當重要是 謝謝委員的提醒各位報告我們在早上七點半決策八點鐘公佈的是全日全天都改成一個小時三班這個很清楚我們並沒有說不改
transcript.whisperx[119].start 4409.013
transcript.whisperx[119].end 4436.399
transcript.whisperx[119].text 沒有告訴大家時間 有告訴大家是全線 全日 一個小時市長如果說這樣的話 您要再確認喔因為當天其實是到我們九點才開交通委員會但是九點開交通委員會的時候為什麼會為了部長沒到以及我們好幾位中南部委員沒有辦法到現場而破例延後四十五分鐘就是因為當天的現場連交通委員會的資訊都是混亂的當天在現場是只有次長跟我們講
transcript.whisperx[120].start 4437.119
transcript.whisperx[120].end 4454.43
transcript.whisperx[120].text 但是其他的媒體朋友或說其他在現場的人員也不清楚說是全天全日都是一個小時三班是直到我們要求直到我們提醒說你應該要散盡你的資訊管道讓所有的旅客因為這個不是
transcript.whisperx[121].start 4455.33
transcript.whisperx[121].end 4479.544
transcript.whisperx[121].text 你有辦法控制的對不對已經發生事情沒辦法我們只能做傷害降到最低傷害降到最低最好的一個方式就是資訊透明公開讓全部的國人知道沒辦法因為遇到這個狀況我們真正能夠把它修復完畢要到整個運作的結束凌晨的時候才能再做後續的一個搶修也因此當天全日是每小時三班自由做我覺得未來
transcript.whisperx[122].start 4481.277
transcript.whisperx[122].end 4505.256
transcript.whisperx[122].text 董事長因為你剛剛講的事情其實是跟當天的一個狀況有點不出入但過去過去但本席現在要提醒的是未來如果說真的當然我們不希望這個事情再發生但如果說有任何這樣發生的時候資訊公開透明準確是確保國人不要造成恐慌跟焦慮最好的辦法是我想這個部分我們會繼續來檢討我想讓大家更能夠清楚謝謝謝謝委員好謝謝洪文凱委員謝謝部長
transcript.whisperx[123].start 4511.089
transcript.whisperx[123].end 4525.813
transcript.whisperx[123].text 我們接下來請陳樹越委員發言 陳說陳說不在 接下來請林俊憲委員發言好謝謝主席 本期邀請我們交通部陳部長來請陳部長
transcript.whisperx[124].start 4535.476
transcript.whisperx[124].end 4558.089
transcript.whisperx[124].text 這幾天大家有在關心那個獨駕的問題那交通部也有大概有表示要來修改我們的道交條例的處罰相關部分對獨駕現在民怨高漲那確實因為他造成了這個社會尤其交通安全那個很大的一個危害幾個是不是給部長當參考
transcript.whisperx[125].start 4560.765
transcript.whisperx[125].end 4577.228
transcript.whisperx[125].text 我們獨駕的件數發生的件數如果是達到刑法的程度就是那個已經吸毒吸到不能安全駕駛那個會用刑法給他移送你看這個件數從最近幾年315件2619件接下來就到8659件三年內增加了到今年大概又到14000件
transcript.whisperx[126].start 4589.414
transcript.whisperx[126].end 4605.439
transcript.whisperx[126].text 大概短短的三四年就增加了四十幾倍好那如果就是要按道交條例被開單這是有抓到的獨家件數有抓到的話我們來看112年2023年是910件2024年就2189件那2025年就到11000件三年內增加12倍
transcript.whisperx[127].start 4620.44
transcript.whisperx[127].end 4645.098
transcript.whisperx[127].text 你看911,2189,11000件然後其中我要給你注意看一個累犯的件數就是說你整體件數增加12倍那累犯的件數就是你曾經獨駕然後再次的獨駕這種累犯的件數竟然增加了18倍你吃到開車一而再,再而三
transcript.whisperx[128].start 4646.175
transcript.whisperx[128].end 4651.9
transcript.whisperx[128].text 獨駕累犯件數112年是163件2024471件到去年將近3000件2947件所以可見有些是獨駕的累犯這種人不能讓他再上路他沒有資格再繼續駕駛所以在未來的修法
transcript.whisperx[129].start 4675.987
transcript.whisperx[129].end 4695.88
transcript.whisperx[129].text 我不曉得教安部第一個除了提高罰則以外有些國外對於毒價因為這個全世界都面臨這樣的一種問題因為毒品現在不斷的變化取得吸食都更容易像這種喪屍煙彈因為你單獨的吸煙也麻煩聽說他們就混在電子煙裡面所以吸食很方便
transcript.whisperx[130].start 4703.666
transcript.whisperx[130].end 4726.705
transcript.whisperx[130].text 然後在年輕人之間就很普遍了那前幾天不是有一個案例嗎他獨駕他開車載的是瓦斯車耶整車都載駕駛 吃凍載駕駛 你看這多危險所以除了罰金的提高以外吊銷他的駕照或者是沒送他的車輛
transcript.whisperx[131].start 4728.154
transcript.whisperx[131].end 4750.148
transcript.whisperx[131].text 那請教一下部長對於未來獨駕道交條例的修法方向還有時間啊交通部目前有沒有相關的想法或者是草案向委員報告這件事其實這段時間大家都相當的在意尤其是委員們大家都非常的在意那我們交通部也加緊腳步針對這件事情我們跟法務部跟內政部
transcript.whisperx[132].start 4751.168
transcript.whisperx[132].end 4778.068
transcript.whisperx[132].text 還有我們交通部還有衛福部我們幾個部門大家一起合作正在做整體的這個研修包含刑罰的部分當然是法務部我們尊重法務部的權責那執法的部分是內政部警政署我們也尊重他們的權責但在監理層面就是委員剛剛所關心的部分是交通部的責任我們該做的那幾個方向委員剛剛所提到的是未來只要獨駕他的罰則我們從三萬跟一萬五提高到
transcript.whisperx[133].start 4778.488
transcript.whisperx[133].end 4783.814
transcript.whisperx[133].text 12萬跟9萬12萬跟9萬開車12萬啦騎機車9萬起跳那委員在講的說如果他累犯其實我目前觀察累犯的機率超過20%到30%的機率非常非常的高累犯累犯的部分第一我們罰則無上限累加上去
transcript.whisperx[134].start 4800.31
transcript.whisperx[134].end 4820.077
transcript.whisperx[134].text 第二因為他只要犯了一次他必然就是無照無照繼續開車他的罰則我們也會加重不會像一般的無照駕駛他會加得更重這個部分我們會加到三萬六一般的民眾可能無照是一萬二他就是三萬六這個部分我們會強制來做那另外針對大家在關心的這個
transcript.whisperx[135].start 4820.737
transcript.whisperx[135].end 4845.412
transcript.whisperx[135].text 吊扣車輛的部分沒入車輛的部分我們現在也在做這方面的研議我們希望未來只要你做獨駕的動作不管你是不是車主我們的車輛直接就做沒入的動作那另外針對乘客的共同責任你明知駕駛在獨駕了你還坐著他的車你還讓他繼續獨駕那你也必須負共同責任這個部分乘客要罰一萬五
transcript.whisperx[136].start 4846.372
transcript.whisperx[136].end 4862.139
transcript.whisperx[136].text 那這些的修法我們會要求我們部裡面在這個月底之前我希望再更快我希望再更快在月底之前能夠送到行政院讓行政院通過之後再送交立法院好 月底啦送院會審查啦是好那我請高鐵董事長
transcript.whisperx[137].start 4870.067
transcript.whisperx[137].end 4898.962
transcript.whisperx[137].text 董事長 是5月25號今天我們要討論的主題高鐵發生了大概最嚴重的一次霧點事件那一天我剛好人也在車上我是6點38分台南站上車到車站的時候完全沒有不知道發生什麼事完全就正常就對了我上車坐了一半大概坐了可能到達台中吧
transcript.whisperx[138].start 4900.742
transcript.whisperx[138].end 4917.277
transcript.whisperx[138].text 開了車子就停了 過台中就停了然後走走停停他才廣播說車輛有異常到台北已經9點20了大概5點 原本是8點04分才到台北結果到差不多9點20幾分才到了大概5點了一個多小時
transcript.whisperx[139].start 4919.901
transcript.whisperx[139].end 4942.146
transcript.whisperx[139].text 但是交通的系統 當然沒有人敢保證不會出狀況不管你是陸運 空運 海運 那高鐵也是那重點就是 那你平常要演練 如果出了狀況 那要怎麼來處理你剛剛說你4點還沒發車以前就知道了 對不對但是我是6點38上車的時候都還正常
transcript.whisperx[140].start 4946.089
transcript.whisperx[140].end 4972.671
transcript.whisperx[140].text 我到台北高鐵那個時候我就看你們的那個APP完全沒有寫啊你知道吧其實很多人都是使用高鐵的T-Express訂車啊它上面一直到九點它才說部分列車延誤實際上你全部都CAN掉了你全部都停了啊但你這個網頁沒有改
transcript.whisperx[141].start 4975.031
transcript.whisperx[141].end 5003.604
transcript.whisperx[141].text 像我第一時間我是去看你這個部分你的APP寫的是部分列車延誤實際上已經完全更換班表了這個你應該要寫清楚還有就是你那個臨機的應變你看這幾天在網路上就很多使用高鐵我們的乘客啊罵翻天啊到車站啊很多到車站 車站也沒有告示牌車站也沒有啊到月台也都不知道啊
transcript.whisperx[142].start 5005.561
transcript.whisperx[142].end 5022.681
transcript.whisperx[142].text 只是後來有聽到廣播啦但實際上大家也不知道發生什麼事情所以像這樣的應變措施啦我想高鐵這次平常有沒有在演練啦你們平常有沒有演練如果車輛半次延誤的時候那大概要怎麼有一個緊急應變來 董事長
transcript.whisperx[143].start 5024.175
transcript.whisperx[143].end 5052.011
transcript.whisperx[143].text 好 謝謝委員 我想委員的這個提醒我們會繼續檢討不過我會請同仁準備好相關的資料就是我們相關APP及簡訊什麼時間推播 推播什麼內容我想這個都可以作證不過我想特別跟委員說明事實上這個從事發的5點38分成立緊急應變中心到7點半決定8點開始改成替代班表當中其實是有經過搶修的過程這個搶修過程才能夠使得有
transcript.whisperx[144].start 5052.711
transcript.whisperx[144].end 5078.722
transcript.whisperx[144].text 一小時三班能夠實施如果搶修的過程沒有進度事實上是必須停止啦所以他確實是有一個當時在時間上確實是一個非常緊急急難的狀況其實特別跟委員說明不是你要讓車上的旅客大概有知道什麼事情才能採取應變嘛比如說我那一天我要主持審查預算你如果讓我知道說這個高鐵絕對會拖很久
transcript.whisperx[145].start 5080.511
transcript.whisperx[145].end 5102.646
transcript.whisperx[145].text 我就可以請其他委員或者是我來通知我們委員會的同仁大家看怎麼處理嘛我也不曉得發生什麼事情因為我想我如果八點零四分到九點開會也許因為我不知道可以五點多少嘛如果我知道這麼嚴重我就可以提早來做一些應變嘛我相信很急
transcript.whisperx[146].start 5103.837
transcript.whisperx[146].end 5119.079
transcript.whisperx[146].text 每一個旅客在車上都有相當相同的那種心情所以說請高鐵這個未來的類似我們不敢說不會發生啦但盡量不要發生啦如果有發生應該就要有一套的應變措施好不好
transcript.whisperx[147].start 5119.8
transcript.whisperx[147].end 5137.046
transcript.whisperx[147].text 謝謝 我想剛剛在我的報告裡面把這個資訊系統及即時資訊的特定化尤其是你的APP啦這個是我的我們都會看你的APP 是對不對 你上面根本沒有寫啊好 謝謝我想問一下還寫什麼部分列車延誤我想我們會把這個資訊調出來 謝謝好 謝謝主席 謝謝委員好 謝謝我們林俊憲委員謝謝部長 謝謝董事長我們接下來請魯明哲委員發言
transcript.whisperx[148].start 5156.926
transcript.whisperx[148].end 5164.799
transcript.whisperx[148].text 好 謝謝主席 邀請交通部陳部長好 請陳部長高鐵石澤董事長 軌道局楊局長請楊局長
transcript.whisperx[149].start 5170.714
transcript.whisperx[149].end 5190.108
transcript.whisperx[149].text 委員好部長 這個我們交通委員會韓部長大概是525受害者聯盟我住在從桃園出發因為每一天都算好時間坐高鐵所以那一天其實我可以體會到在現場所有人
transcript.whisperx[150].start 5191.729
transcript.whisperx[150].end 5212.199
transcript.whisperx[150].text 剛剛林俊賢委員講完全沒有什麼耗資只有delay 61分鐘然後一堆人擠在那裡就是你的備援體系這等下再談他到底的訊息在哪裡你可以去做台鐵因為台鐵增加了幾班你可以去做高速公路因為在哪裡他增加了幾班其實是完全沒有這個訊息的那我首先
transcript.whisperx[151].start 5213.82
transcript.whisperx[151].end 5235.475
transcript.whisperx[151].text 那天的情況因為很多委員講這個轉折機控制機箱裡面裡面在換那個電池電源的一個模組那發生了這樣一個問題那請教一下這個目前現在鐵道局剛剛我看局長你有報告嗎目前鐵道局跟這個高鐵公司還有原廠
transcript.whisperx[152].start 5236.796
transcript.whisperx[152].end 5251.446
transcript.whisperx[152].text 三個加第四個第三方公正單位剛剛我也聽說了第三方公正單位你們找了兩個嘛第一個是鐵研中心第二個是高科大軌道研究中心那兩個分工是什麼講一下設備會發行啊
transcript.whisperx[153].start 5256.176
transcript.whisperx[153].end 5274.132
transcript.whisperx[153].text 跟委員報告設備目前是在高鐵同時進行查封封條證據我知道嘛你會第三方驗證的時候設備是放在高科大還是鐵人中心不知道設備是在高鐵設備就會放在高鐵
transcript.whisperx[154].start 5276.607
transcript.whisperx[154].end 5298.884
transcript.whisperx[154].text 放在高鐵 是所以大家來就是手摸摸 帶著悲來一氣鐵研中心有這麼多一個設備或者相關的一些巨型的設備 要檢查的設備很多都大型的設備你要真的檢查 空手來帶個電腦 帶個隨手的設備就可以去檢查到的話 我告訴你當天你的工班
transcript.whisperx[155].start 5299.977
transcript.whisperx[155].end 5323.491
transcript.whisperx[155].text 可能比他們對你們這個機械更專業我覺得這個鐵人中心部長是我覺得到底是幾方啊其實你們剛剛早上一直在講第三方公正單位我就想說這個很重要結果我一聽到鐵人中心我真的是嚇了三跳鐵人中心的董事長是誰啊石董你說一下鐵人中心的董事長是誰黃雲貴吳雲貴是我們剛卸任的交通部的司長
transcript.whisperx[156].start 5330.182
transcript.whisperx[156].end 5346.81
transcript.whisperx[156].text 他的執行長是誰陳文德陳文德是我們鐵道局剛卸任的副局長我沒講錯吧石董事長請問一下你自己是鐵研中心的什麼職務我是董事董事嘛
transcript.whisperx[157].start 5350.188
transcript.whisperx[157].end 5372.101
transcript.whisperx[157].text 楊局長你也是董事 就不要講了 全部都交通部底下了包括了吳同明司長 你是監事 請問一下在玩什麼你們在搞什麼 第三方公正單位 鐵研中心 坦白講我不否認他有一定的專業 跟這樣搞 我坦白講不光是 我想說沒有啊 還好你還有一個高科大
transcript.whisperx[158].start 5372.961
transcript.whisperx[158].end 5386.681
transcript.whisperx[158].text 不然這什麼叫第三方啊都自己人左手交右手啊你鐵道局跟著鐵人中心我們三方幾方結果你又是鐵道局局長你又是鐵人中心董事你們都一群人我覺得你們這樣的
transcript.whisperx[159].start 5390.361
transcript.whisperx[159].end 5415.448
transcript.whisperx[159].text 讓大家公信力會有問題所以我是覺得這個事情請部長你要了解一下我們第三方這個整個驗證我們不希望是一套人分在兩邊那你這樣呢最後的結果分家之一像委員報告不只是鐵田中心我們還會再加高科大所以所謂的第三方不是只有一個第三方有兩個第三方所以兩邊都去驗證跟委員報告所以這個部分可以放棄我們希望
transcript.whisperx[160].start 5416.408
transcript.whisperx[160].end 5436.235
transcript.whisperx[160].text 真的這個部分要非常客觀公正專業的第三方驗證這是我們期待的嘛我相信你們也是嘛可以做到吧可以做到 跟委員報告設備當然是以留在高鐵來進行查驗為優先設備如果要離開高鐵比如說到日本原廠或者是到其他地方當然他都必須經過一個審慎的決策
transcript.whisperx[161].start 5438.476
transcript.whisperx[161].end 5464.087
transcript.whisperx[161].text 好 那剛剛因為有一些部長已經解釋過了嘛是遭到攻擊還是耗資異常解釋過了我就不再重問啦平常講那天你們也很努力在搶修尤其第一線的工作人員如果說我們說他們都什麼沒做事或怎樣我覺得這不公平的我們也知道你們很努力啦很努力想要把他去搶修好這一點是一點都沒問題啦所以我也是謝謝我們工作人員的努力
transcript.whisperx[162].start 5464.767
transcript.whisperx[162].end 5484.978
transcript.whisperx[162].text 那我先請教一下目前是四個電源模組電源模組把它保存下來嗎是不是這樣當天所有更換下來的設備都保存下來不只四個電源模組總共有八個單元好除了電源模組是新的要更新的因為剛剛總經理特別說因為在修電源模組的時候
transcript.whisperx[163].start 5485.938
transcript.whisperx[163].end 5513.832
transcript.whisperx[163].text 整個的控制機箱裡面還有一些可能需要更換的你們也帶備品去換嘛所以這整個的都要去做一個處理那那天在整個搶修的一個過程中那日本的一個原廠他是有有沒有這個技師或者相關人員在場支援呢是有的所以在場支援連合你們的人員都沒有辦法處理是那這個部分我是希望能不能給個時間
transcript.whisperx[164].start 5515.674
transcript.whisperx[164].end 5524.75
transcript.whisperx[164].text 你們第三張驗證結果出來因為就問一下你結果出來你們接下來百分之八十了嘛剩下百分之二十是不是要繼續換
transcript.whisperx[165].start 5526.611
transcript.whisperx[165].end 5550.054
transcript.whisperx[165].text 還是要等到驗證出來確定不是這個問題是哪個問題之後才可以繼續做現在的做法是怎樣好 謝謝委員我想目前我們當然還沒有得到這個最終的期程但是我有要求是必須要有期程不能無限制的等待但這個期程我們希望由原廠跟第三方共同來提出所以會有期程有期程以後我們會特別跟委員報告這是第一個
transcript.whisperx[166].start 5550.214
transcript.whisperx[166].end 5572.562
transcript.whisperx[166].text 第二個能夠有初步把一些問題釐清之後我想我們應該要盡快恢復更新的過程所以要快要真的要釐清然後你才有辦法去做下一步這個是不是可以繼續換我覺得這個速度要快那這個請教部長部長那天我們都是受害者聯盟可是你那天請問一下你們是幾點通知我們陳部長
transcript.whisperx[167].start 5576.124
transcript.whisperx[167].end 5592.017
transcript.whisperx[167].text 部長你是幾點知道應該第一時間有通知交通部應該第一時間有通知交通部但是要會延誤多久其實我在搭車的前一刻還不曉得延誤多久大概知道會延誤但不曉得有多久這就是我覺得一個
transcript.whisperx[168].start 5593.499
transcript.whisperx[168].end 5610.536
transcript.whisperx[168].text 蠻大的問題啦剛剛特別談到風險管控風險管控就是我們對於風險會發生這樣的一個情況我們是要是高估還是低估其實就是要我們覺得要專業的一個判讀要專業的判讀那尤其部長甚至有時候
transcript.whisperx[169].start 5611.317
transcript.whisperx[169].end 5626.85
transcript.whisperx[169].text 很嚴重的問題行政院長都要知道他知道的你不要給他講我們什麼東西壞了你本來就應該要把正確相對的判讀資訊給他如果他知道像我到最後可能一個小時以上快兩個小時都有這種情況像
transcript.whisperx[170].start 5629.072
transcript.whisperx[170].end 5644.023
transcript.whisperx[170].text 這個台中過來你也坐兩個小時嘛那我是沒辦法我是投降了我是走還好我也走季節啦慢慢突突突突到台北來每一個人都想辦法去解決這個問題可是我覺得部長因為他可以跨單位的要去處理很多的問題
transcript.whisperx[171].start 5644.904
transcript.whisperx[171].end 5668.195
transcript.whisperx[171].text 如果你們真的沒有辦法判讀那我就覺得是不是就像總經理你們在解讀這樣的一個故障每個小時派三班會延誤多少你們是覺得把它估得太輕鬆了如果你是把它正確就知道會一兩個小時這時候如果部長知道他在第一時間就會不管是國道客運
transcript.whisperx[172].start 5669.395
transcript.whisperx[172].end 5684.272
transcript.whisperx[172].text 不管是我們台鐵公司他在很早的時候不像台鐵公司不會他說十點才開始配合十點左右才開始配合那這個的部分部長沒有得到正確的訊息所以他上了高鐵如果人家你跟他講說有可能會延誤一兩個小時
transcript.whisperx[173].start 5685.734
transcript.whisperx[173].end 5708.844
transcript.whisperx[173].text 搞不好部長會自己開車所以我覺得這個訊息的準確度對於決策者是非常重要那我要拜託部長那未來跟我們的高鐵或者台鐵都一樣發生這樣的一個重大的一個大霧點的時候我覺得第一時間要誠實甚至要寬鬆的去估就是說真的可能會最嚴重是如何好不好那再來就是當天
transcript.whisperx[174].start 5709.784
transcript.whisperx[174].end 5736.476
transcript.whisperx[174].text 我們發覺高鐵站你要接駁很多其實每個站都不一樣每個站都不一樣有些跟火車站連在一起他有選擇有些跟火車站有距離他沒辦法這時候你要有接駁車甚至這個比較中部以北的是不是用國道客運直接來帶他看停止站去跑都有可能那我在這裡是拜託部長在地方政府的集結那一天我
transcript.whisperx[175].start 5739.257
transcript.whisperx[175].end 5761.769
transcript.whisperx[175].text 桃園站季節就在旁邊啦但沒有辦法他完全沒有接到任何應變的指示如果他就在同一站他如果那一天他最終在台北火車站他板橋站沒辦法停所以未來是不是就桃園這個角度每個站不同的解決的策略桃園站我們是不是能夠協調季節能夠
transcript.whisperx[176].start 5764.75
transcript.whisperx[176].end 5779.8
transcript.whisperx[176].text 桃園他18站到台北他至少上下班時間他能夠跑一班或者兩班這個部分可不可以朝中方來做謝謝委員的這個指示啦我覺得這個部分相當好我們未來會來做
transcript.whisperx[177].start 5780.7
transcript.whisperx[177].end 5799.671
transcript.whisperx[177].text 那也跟委員報告當天早上我其實九點多還在車子裡面的時候八點多在車子裡面的時候我就已經打電話請台鐵公司準備所以他們十點才有辦法馬上增加這個運具聯防的部分那委員剛剛所提到的加派這個接駁車的部分也確實我在當天開緊急應變會議的時候因為我們不確定隔天能夠修得好
transcript.whisperx[178].start 5800.151
transcript.whisperx[178].end 5828.321
transcript.whisperx[178].text 所以隔天的部分我們確實也有針對桃園到台北或者是新竹到台北透過國道客運該怎麼樣接駁的部分我們也有做出了計畫那我們現在在指示的就是說機場捷運的部分我們也有討論過不過機場捷運因為它的那個量能已經非常緊繃了那所以我們也會把它放在最後該使用的時候我們還是會使用上跟委員報告其實一個小時加一班我覺得是絕對有可能去協調的好不好這個部分要預備啦
transcript.whisperx[179].start 5828.721
transcript.whisperx[179].end 5851.837
transcript.whisperx[179].text 真的我們不希望發生這樣的一個事情嘛但是發生了那這件事情對台鐵的經驗也是說你們要料題從寬還是從嚴我覺得要很真實的你們在現在是已經發生了回推為什麼會延一兩個小時你們自己要回推作為你們經驗累積非常重要的部分再來我希望高鐵公司的董總我真的是要
transcript.whisperx[180].start 5853.195
transcript.whisperx[180].end 5872.425
transcript.whisperx[180].text 請你們在整個風險管理跟內部管理真的我覺得要多花一點精神尤其像風險管理這個問題這是很嚴重的525的一件事去年12月我們跟你要資料去年12月你們也是一樣在你們那個叫監控平台那個叫什麼
transcript.whisperx[181].start 5873.766
transcript.whisperx[181].end 5902.078
transcript.whisperx[181].text 那個叫什麼行控中心那個行控中心去年12月也是因為更換軟體設備而一個不小心也弄了一些事情所以我覺得在整個風險管理是要能夠用心的那最後我也跟石董事長當然您使者您有您的哲學但我覺得不要讓人家感覺不要讓人家感覺就是小事我們高調露臉
transcript.whisperx[182].start 5903.198
transcript.whisperx[182].end 5924.734
transcript.whisperx[182].text 大事的時候我們低調 神隱這一次給很多人感覺就是這樣我們看到你去日本不管自費 花幾百我們通通都不管廁所照一張相回來我知道因為你是學文的學文化的學行銷的我懂你看到這個機會為高鐵公司整體行銷聽起來也沒有錯可是一次
transcript.whisperx[183].start 5926.076
transcript.whisperx[183].end 5933.576
transcript.whisperx[183].text 噴漆 去一次座椅 設備 去一次可是你這樣的搞法這樣的積極程度發生這麼大的事情的時候
transcript.whisperx[184].start 5934.537
transcript.whisperx[184].end 5960.985
transcript.whisperx[184].text 你們只是發新聞稿我覺得這個部分跟民眾的期待是不一樣畢竟整個高鐵看得到的這個車廂好棒我知道大家都動我們要看得到的光鮮亮麗民眾也看得到可是問題有很多看不到的基礎的一個建設我是這邊拜託我們的部長跟我們高鐵台鐵大家真的要努力把風險管理做好謝謝我們會深刻檢討 謝謝謝謝委員
transcript.whisperx[185].start 5963.888
transcript.whisperx[185].end 5967.83
transcript.whisperx[185].text 好 謝謝盧明珍委員 謝謝部長 謝謝董事長接下來我們請徐富奎委員發言謝謝主席 有請我們陳部長 高鐵石董事長 台鐵馮總經理好 請陳部長 董事長 總經理
transcript.whisperx[186].start 5993.644
transcript.whisperx[186].end 6008.129
transcript.whisperx[186].text 部長、董事長、總經理早我想5月20號那一天我也是在車上跟部長跟好幾位委員同仁都一起在車上那我早上6點55分從高雄坐坐在這邊應該是10點12分
transcript.whisperx[187].start 6010.33
transcript.whisperx[187].end 6030.302
transcript.whisperx[187].text 我想當然這個我們今天是針對高鐵霧點的一個專案報告那我想剛剛前面有幾位委員大家都有提到這個事故我想這個應該要被檢討也應該要找出原因但是我想身為這個交通部身為主管機關未來對於不管是高鐵也好台鐵也好
transcript.whisperx[188].start 6031.042
transcript.whisperx[188].end 6047.362
transcript.whisperx[188].text 這個我們一連串出現這樣的一個設備故障甚至是污點的一個狀況是不是會讓外界質疑我們台灣的軌道運輸有出現老化維護不足甚至是風險管理失能的一個問題部長我想針對這部分您自己本身現在有什麼看法
transcript.whisperx[189].start 6047.942
transcript.whisperx[189].end 6073.109
transcript.whisperx[189].text 像委員報告我們對於台鐵跟高鐵的要求都一樣我們希望他第一要安全第二要精準第三我們的這個系統的可靠度也就是說他的韌性要夠高那這個部分我們鐵道局其實在所有的事件發生之後都會介入調查跟了解那並且最重要的是要討論出說未來要怎麼樣改善所有的機制希望他可以做到更好更安全那更有韌性
transcript.whisperx[190].start 6073.869
transcript.whisperx[190].end 6086.456
transcript.whisperx[190].text 是 我想我們應該印象中7月份我們還要去接新車回來嘛是 沒錯那當然 董事長 那未來新車的部分我們有沒有針對這樣的一個事故會不會影響到新車的一個銜接的問題
transcript.whisperx[191].start 6087.783
transcript.whisperx[191].end 6116.129
transcript.whisperx[191].text 跟委員報告我們不會影響新車的銜接不會啦好董事長我想說那根據我們目前掌握到媒體的這個報導這次的苗栗的耗資事故影響11萬人那我們的這個預計損失的賠償金額有高達3500萬那甚至還有一些的這個因為高鐵趕不上飛機那你們到底你們實際上你們掌握到影響的人次跟這個金額到底是多少錢有沒有一個具體的數字
transcript.whisperx[192].start 6117.029
transcript.whisperx[192].end 6145.347
transcript.whisperx[192].text 我想這個就陳委員剛剛所講的這個人次就是11萬多人金額是3500萬對那依照我們的旅售與旅運契約我們當然就是這個該全額這個退費或者是該半額退費的我們都會依這個方式來進行就照規定來走是那有沒有延伸到其他的部分比如現在很多人或許他還沒有這個提出這個額外的賠償甚至不然還要告你們有沒有這樣的一個狀況
transcript.whisperx[193].start 6146.792
transcript.whisperx[193].end 6159.579
transcript.whisperx[193].text 目前我們是沒有接受到要告我們那當然是有接受到詢問說這個衍生的賠償的不能進行不過但是我們還是必須遵守這個跟乘客的這個旅運契約我們確實沒有辦法這個
transcript.whisperx[194].start 6163.101
transcript.whisperx[194].end 6177.808
transcript.whisperx[194].text 負擔因為延誤所延伸的相關的所有的費用我想這個如果都是交通行業都是機構都是一體適用的那我們當然還是最後對大家很抱歉我想最終是不要讓這樣的事情再發生
transcript.whisperx[195].start 6179.042
transcript.whisperx[195].end 6193.473
transcript.whisperx[195].text 因為我想那天我在自己在車上當然我們這個整個我們的列車長也好包含我們這個很多的乘客也好我們大概每一段時間大概我們就他就會提醒說這個有訊號異常那請大家稍等待
transcript.whisperx[196].start 6194.974
transcript.whisperx[196].end 6223.274
transcript.whisperx[196].text 這個走走停停的狀況很嚴重那剛剛我也特別感受到說這個因為像我們是從高雄上我們沒有選擇性但其他站要上的人是不是可以事先預告這樣的一個狀況他們不一定要搭高鐵他們可以做其他的選擇有公路運輸也好或者是鐵路運輸也好我想這個應變上的處理確實我們做的比較不夠也應該要檢討未來這樣的應變的一個機制部長這個部分是不是可以再做進一步的一個檢討
transcript.whisperx[197].start 6224.645
transcript.whisperx[197].end 6250.749
transcript.whisperx[197].text 是這個部分我們有請高鐵公司必須要做檢討幾個部分一個部分是針對延誤的時間有沒有辦法先讓旅客可以知道如果知道的話大家比較好安排時間因為運具有很多重的選擇可以讓大家可以去選擇其他的運具那另外針對這個退票的機制我也拜託高鐵公司能夠來做研議讓大家可以做線上的退票的機制
transcript.whisperx[198].start 6251.329
transcript.whisperx[198].end 6275.667
transcript.whisperx[198].text 不然我在現場我是看到很多的人在排隊要做退票也好或者是說要做這個延誤的證明也好但是像我自己到目前為止我也沒有接到我們公司有任何一通訊息說你可以退票 也沒有啊 沒有通知我我認為是不是應該我們主動要提醒一個月之內你應該要來退票好 了解我們會來進行我覺得這個應該最起碼我們善後的部分應該可以做得更好一點吧
transcript.whisperx[199].start 6276.69
transcript.whisperx[199].end 6289.875
transcript.whisperx[199].text 像我自己本身到現在也還沒有退搞不好我一個月之後也忘記了要去退票所以我想應該是應該主動我們應該主動我們應該朝這個方向努力是反正都有因為我們訂票的時候像我們有用APP就有有電話嘛八個簡訊總應該可以吧應該更積極一點這個我們繼續來檢討好
transcript.whisperx[200].start 6293.737
transcript.whisperx[200].end 6301.121
transcript.whisperx[200].text 好那我想根據我們這個台鐵的這個統計事故2022年我們總共行車異常發生了616件那到2024年增加到961件這兩年增加了高達56%那我想部長跟總計當然我知道這個
transcript.whisperx[201].start 6313.227
transcript.whisperx[201].end 6330.938
transcript.whisperx[201].text 不管是高鐵藥台鐵藥現在都是我們很重要的一個大眾運輸的一個管道那乘客量也非常非常的高那高鐵的部分從113年的異常事故25件到114年也增加了這個43件增加了72%我想我們未來還是要針對這樣的一個設備的問題或者是
transcript.whisperx[202].start 6334.08
transcript.whisperx[202].end 6358.809
transcript.whisperx[202].text 事故的原因的調查甚至人為的因素應該要全面來做一個檢討所以我想這邊我有三點的一個要求第一個針對行車異常的事故應該我們要盡快提出分析報告第二個針對高風險的一個設備應該全面來盤點甚至做改善第三個針對台鐵跟高鐵設備老舊的部分應該提出一個改善的時程表部長跟董事長總經理能不能做到
transcript.whisperx[203].start 6359.995
transcript.whisperx[203].end 6379.008
transcript.whisperx[203].text 跟委員特別說明我想高鐵的異常事故您所提的就是去年比前年多20件其實全部都是非可歸則於公司的天災造成我沒有做過分析就是說這20件的增加是因為去年我們的地震颱風跟相關的天災
transcript.whisperx[204].start 6379.748
transcript.whisperx[204].end 6399.722
transcript.whisperx[204].text 特別頻繁所至平均而言可歸則於公司的事件其實並沒有在平均值以外特輔特別的增加都還是在平均值我們平均值大概一年可歸則於公司的大概是20件左右因為我們這個部分會特別來努力是 那台鐵公司我是不是請馮總你回答一下
transcript.whisperx[205].start 6401.263
transcript.whisperx[205].end 6415.811
transcript.whisperx[205].text 報告委員 委員所提的三項措施我們都可以做到我們也會來確實落實那簡要說明一下這個事件的調查跟誠意分析我們現在每天早上都會進行高階技術匯報由我們總經理副總經理來做檢討那每週也會做這個經營管理會議來檢討
transcript.whisperx[206].start 6421.394
transcript.whisperx[206].end 6440.169
transcript.whisperx[206].text 那高風險的設備感謝政府的支持我們現在已經全面在盤點在更新所以我們目前在台鐵的相關的包括我們的轉車器包括我們的耗資系統電力設備車輛都在持續的更新改善我們預計118年底全面都會來做更新完成以上
transcript.whisperx[207].start 6440.549
transcript.whisperx[207].end 6463.606
transcript.whisperx[207].text 另外我要再提出一個問題因為我們馬上這個訊息已經來了馬上就面臨我們這個颱風也好 豪雨也好那我記得上次委員會我們台鐵有特別提出了要用一百零五萬來購置無人機來巡檢一個軌道我認為這是一個非常好的措施而且我認為台鐵還過於保守因為我們現在基層的同仁人力也不足
transcript.whisperx[208].start 6464.366
transcript.whisperx[208].end 6489.606
transcript.whisperx[208].text 那我們的這個軌道這麼長我想應該要透過這樣無人機的一個設備可以強化我們的一個巡檢的一個密度但是很遺憾這個到最後這個我們的這個由委員提出的這個全案刪除那後來又提到這個全案保留到黨團來協商部長我想我們應該要支持這樣的一個計畫啦應該要給台鐵更多的一個資源我們當然會支持並且也希望說未來的步伐能夠越跨越大
transcript.whisperx[209].start 6490.772
transcript.whisperx[209].end 6507.46
transcript.whisperx[209].text 那另外最後想針對獨駕的問題剛剛有很多委員在提那未來我想我還要提出另外一個看法就是針對職業駕駛的部分因為畢竟這個他們每天的這個上路的這個數量跟所謂的一個交通的危害性我想不輸一般的駕駛
transcript.whisperx[210].start 6509.861
transcript.whisperx[210].end 6531.937
transcript.whisperx[210].text 那是不是我們現在交通部有針對陸運特定人員的一個尿液採檢或者是市區的這個汽車客運業者跟公路駕駛的一個抽檢的一個部分進行25%的一個抽檢我們有做這樣的一個動作嗎是 向委員報告我們這個部分的尿液抽檢都有定時在做 定期在做未來有可能擴大到其他的這個包含計程車或是
transcript.whisperx[211].start 6533.277
transcript.whisperx[211].end 6552.73
transcript.whisperx[211].text 貨運的一個司機嗎我們會看評估現在的狀況如果當然有延伸到其他的運具上面我們該做的都會做那目前我們正在研議跟討論當中部長你看我們的這個數據114年11月到今年的4月份光是這個獨家的取締從1474件成長到8355件成長了4.6倍這個數據非常非常的恐怖
transcript.whisperx[212].start 6562.116
transcript.whisperx[212].end 6590.535
transcript.whisperx[212].text 那所以我想未來我也要求交通部在一個月之內針對加嚴獨駕的這個吊扣駕照的處置第二個研議這個職業駕駛定期毒品篩檢的一個機制第三個應該要儘快完備毒品拖曳快篩的準確度跟相關的賠償的一個處理我想因為包含現在不是只有交通部的問題包含我們的警察同仁他們在執法上面他們壓力也很大萬一這個採檢有陰性陽性的一個誤差的時候
transcript.whisperx[213].start 6592.236
transcript.whisperx[213].end 6603.085
transcript.whisperx[213].text 部長這部分能不能再具體說明一下未來我們的做法向委員報告在採檢的部分今年會暴增有可能是因為我們去年11月19號之後我們開始做這個唾液的檢測在11月19之前去年11月19之前沒有唾液檢測
transcript.whisperx[214].start 6610.231
transcript.whisperx[214].end 6629.758
transcript.whisperx[214].text 那今年因為有唾液檢測所以很快速的就可以判讀出說他是不是毒價所以今年當然抓到的數字會非常多不過這也表示真正的毒價的問題也是相當相當的嚴重所以我們在照委員剛剛的指示我們在一個月之內針對委員剛剛所建議的各個方向其實我們都會來做研議
transcript.whisperx[215].start 6630.718
transcript.whisperx[215].end 6647.174
transcript.whisperx[215].text 那研議出來之後第一會向社會來報告第二也會向委員特別來報告說我們研議之後的這個罰則的提高那剛剛有其他委員在問的時候其實我有提到獨駕的罰則當然提高相當多第二針對車輛沒入的部分不管
transcript.whisperx[216].start 6648.334
transcript.whisperx[216].end 6672.288
transcript.whisperx[216].text 車輛是不是獨駕本身的這個車輛是不是車主我們只要有獨駕我們全部都會沒入然後再來坐在車上的知道你明知他在獨駕你還讓他繼續獨駕的乘坐的人乘客也有共同責任這個部分也會加進來我想這個我們要共同來努力啦今天避免這個減少這個事故的發生也避免無辜的人受到傷害謝謝好 謝謝委員
transcript.whisperx[217].start 6676.226
transcript.whisperx[217].end 6701.935
transcript.whisperx[217].text 好 謝謝委員 謝謝部長我們接下來請許智傑委員發言好 謝謝主席我們請部長跟高鐵董事長好 請陳部長跟施董事長
transcript.whisperx[218].start 6708.479
transcript.whisperx[218].end 6735.387
transcript.whisperx[218].text 委員好部長董事長好我想這個大霧點的問題大家都問很多了那我們再一次提醒就是問題的查免以及未來的預防這個希望說我們江東部跟高鐵能夠盡量把它研究清楚為了不要再有類似情況發生或者是緊急應變可以做得更好
transcript.whisperx[219].start 6737.588
transcript.whisperx[219].end 6746.116
transcript.whisperx[219].text 好 今天是6月4號 那個一個中國悲傷的日子部長你記得你去年6月10號到哪裡嗎
transcript.whisperx[220].start 6747.662
transcript.whisperx[220].end 6772.313
transcript.whisperx[220].text 去年6月4號委員這個上面有顯示我應該是在高鐵的高雄站是啊 這個去年6月4號其實我們能夠爭取到這個建設也真的很謝謝張宏佩跟高鐵就當時有承諾嘛那就是委託工程顧問公司評估然後今年3月就可能開工這個其實是高雄一個很
transcript.whisperx[221].start 6773.462
transcript.whisperx[221].end 6790.523
transcript.whisperx[221].text 重大也是一個大家引領期盼的建設但是我最近問到好像目前高鐵打算暫緩或者是不做這個不知道部長知不知道我是不是請市董事長來回答這個問題
transcript.whisperx[222].start 6791.978
transcript.whisperx[222].end 6812.779
transcript.whisperx[222].text 跟委員報告我想基本上這個過温公司的基本的規劃已經完成了那由於國內現在目前這個營造都在蓋廠房因為半導體太熱的關係那以及這個地下工程事實上是一個靈軌工程而且是一個穿移改移的工程因此我們特別謹慎
transcript.whisperx[223].start 6814.02
transcript.whisperx[223].end 6833.626
transcript.whisperx[223].text 我們事實上在民間針對相關不同的營建商大概訪價訪談了大概超過20件確實廠商目前手頭上對於做這個工程的意願非常的低這是第一件事情第二個就是說我們未來事實上新車導入之後馬上面臨增班的狀況
transcript.whisperx[224].start 6835.767
transcript.whisperx[224].end 6864.266
transcript.whisperx[224].text 這個施工會造成我們現在三個月台會必須減少一個月台一個月台施工完以後才能增加第二個月台的施工那這個我們現在正在評估對於增班的影響也就是考慮到說增班的穩定度跟施工的先後順序我們必須要謹慎考量我想大家都知道嘛不要到最後車子有了結果增班發不出去啊所以這個我們很審慎在評估考量這個也跟委員誠實報告
transcript.whisperx[225].start 6865.967
transcript.whisperx[225].end 6889.734
transcript.whisperx[225].text 對 所以我其實今天要特別提醒的就是說這個問題不是今天才知道這個問題在去年的時候 6月4號的時候我們到現場的時候雖然當時不是石董事長但是我們當時就知道你要做月台一定是會要輪流嘛這個是去年就知道的事嘛
transcript.whisperx[226].start 6891.258
transcript.whisperx[226].end 6912.232
transcript.whisperx[226].text 跟委員報告去年的6月4號雖然我不在不過確實是經過顧問公司進場實際計算之後才發覺他的施工時間比我們想像的長非常的多那這個也就會造成其實未來班表調整的影響衝擊幅度更大所以這個其實是最近才發生的事
transcript.whisperx[227].start 6912.332
transcript.whisperx[227].end 6930.326
transcript.whisperx[227].text 所以現在就是新車進來總共的車輛用我們如果是用現在有六個月台嘛一次施工是會動到兩個月台嘛簡單講現在是三個月台有六個車道嘛那如果是動到一個月台就剩下四個車道嘛
transcript.whisperx[228].start 6931.707
transcript.whisperx[228].end 6957.819
transcript.whisperx[228].text 那四個車道就新舊車的調度所以這個案子到底未來可能做還是不做這個案子終究是要做但是我們是在評估是在增班班表調整之後做還是同步做我們擔心的是同步做對於左營站的增班會有影響而左營站的增班除了影響到高雄人的權益之外也會影響到權限的調度
transcript.whisperx[229].start 6959.202
transcript.whisperx[229].end 6982.688
transcript.whisperx[229].text 那當然我們是運作順暢為主嘛其實你如果是慢因為你新舊調度我想試驗可能最多三個月到半年吧不會超過吧沒有 這個整個穩定期要兩年因為我們的交車是要透過一年的時間才逐步交車完成穩定期要兩年交車就交一年穩定至少也要再一年所以總共是兩年
transcript.whisperx[230].start 6984.119
transcript.whisperx[230].end 7006.73
transcript.whisperx[230].text 所以兩年之後到底可不可能做我們的大方向是要做但是必須在不影響調度以及增班的狀況底下做這個目前都還在評估當中如果可以同步做我們會願意同步做如果不能同步做我們會以增班調度為優先我想這個如果有真的有新的考量因為我們一直引領期盤3月就要重新
transcript.whisperx[231].start 7008.737
transcript.whisperx[231].end 7036.944
transcript.whisperx[231].text 也跟委員誠實的報告去年6月4號的時候我們第一個沒有想到說它的工期這麼長第二個我們也沒有顧慮到說在失座的時候那個月台的兩個軌道的陣線上的電源必須要斷電但是我們顧及到工程安全我們已經決定如果要失座就要斷電一旦斷電我們連通行的功能都失去了所以它不只是增班調度而且連進基地的功能都會影響所以我們確實非常謹慎的在評估
transcript.whisperx[232].start 7038.064
transcript.whisperx[232].end 7060.632
transcript.whisperx[232].text OK 勇敢面對錯誤 其實做一個最新的決定我們是可以接受啦那不過就是說 有這個改變我交通委員都不曉得這個改變還沒有定案 我只是說我們現在正在謹慎嚴肅的在評估所以現在是暫緩也沒有暫緩 因為我們事實上都還沒有進行發報
transcript.whisperx[233].start 7062.576
transcript.whisperx[233].end 7089.367
transcript.whisperx[233].text 我們沒有暫緩我們三月嘛本來是預計今年三月嘛那現在已經delay了吧我們本來就是依照原本的計畫在三月之前要進行發包在發包之前尋商訪商在尋商訪商的過程當中我們才發解新的問題也就是說廠商對於這個靈鬼施工的風險的考量比我們想像的更嚴肅所以我們才進入了更實質的評估了
transcript.whisperx[234].start 7090.467
transcript.whisperx[234].end 7117.095
transcript.whisperx[234].text 好那後面應該是進度可不可以請董事長概括一下後面的狀況你說分這兩種情況嘛我想是不是秦委員再給我們一點時間我們把整個對於增班調度的影響以及先後順序做一個更清楚的釐清因為其實上新車導入的新的班表也現在正在研議當中這一切都在現在進行式當中不是我們故意要延誤新車進來去年也知道今年新車要進來啊
transcript.whisperx[235].start 7118.38
transcript.whisperx[235].end 7132.673
transcript.whisperx[235].text 去年知道新車進來可是去年並不知道新車每一台交車的準確時間現在我們知道了知道每一台車的準確交車時間以後我們才能夠進行每一台車增班對實質上的班表的確定的發展
transcript.whisperx[236].start 7133.354
transcript.whisperx[236].end 7155.258
transcript.whisperx[236].text OK 那什麼時候大概可以把這個時間序包括新車進來 包括調度進來包括考慮一起做或考慮等全部都調動完成之後來做這個時間序可不可以大致上列一下至少因為我突然問到說這個暫緩的計畫我是覺得很訝異啦
transcript.whisperx[237].start 7158.359
transcript.whisperx[237].end 7177.505
transcript.whisperx[237].text 沒有我再一次跟委員強調我們並沒有暫緩的計畫我只是說我們現在在評估各種發生的新的情勢有一旦有評估的結果明確的話我會親自跟委員說明OK好所以這個希望說把這個弄清楚我想我們高雄人引領其反力也是高雄出身的我也是對阿雄雄這個錯誤我感覺說這到底是其實
transcript.whisperx[238].start 7183.16
transcript.whisperx[238].end 7202.141
transcript.whisperx[238].text 你們內部可能也會承認說到底是暫緩還是不做沒有不做但是我們只是先後順序的問題OK所以一定會做一定會做一定會做好那就聽我們施董事長這句承諾對但是增班我想一般民眾會覺得可能應該是優先
transcript.whisperx[239].start 7203.682
transcript.whisperx[239].end 7226.364
transcript.whisperx[239].text 當然正班優先啊你要調度順暢才來做嘛這個是一定的嘛所以我們是擔心說不要因為這些問題就不做啦是所以一定會做這個承諾我希望說施董事長跟我們高鐵所有的人員還有交通部長因為什麼時候做在delay兩年你們不知道都又換到哪個位置去了也不記得在這個位置
transcript.whisperx[240].start 7227.765
transcript.whisperx[240].end 7255.256
transcript.whisperx[240].text 所以這個事情我希望說這個是可以執行下去那相關的人員也必須把這個問題把它keep住好 謝謝那我們今天至少有個結論嘛就是一定會做OK好 謝謝部長跟董事長都OK是 這個沒有問題一定要做好 OK 謝謝好 謝謝委員好 謝謝許志堅委員謝謝部長 謝謝董事長我們接下來請王逸川委員發言
transcript.whisperx[241].start 7260.762
transcript.whisperx[241].end 7273.443
transcript.whisperx[241].text 好 謝謝主席 我們請這個董事長 石董事長來 新董事長總經理也一起好了 部長你就坐在那裡聽就好台鐵坐著認真聽 這要教大家有關的
transcript.whisperx[242].start 7276.053
transcript.whisperx[242].end 7296.034
transcript.whisperx[242].text 這個上次發生這個大delay,我也是確定啦,林俊憲也是確定啦,規定的就對了因為我們在車上啊,我們就關心發生什麼事嘛,然後我們在車上,石董事長你有沒有當時我們車上的廣播說什麼我想廣播應該只有講說他會delay,但是並沒有講delay多久好,那個是罐頭的
transcript.whisperx[243].start 7297.864
transcript.whisperx[243].end 7321.801
transcript.whisperx[243].text 每幾分鐘講的內容都一模一樣那變成我們坐在車上的人只能有外部資訊那你們外部資訊發布的速度也很慢因為我知道你們在乎完整的資訊所以第一時間包括你的網站你的APP或者是各式各樣你們並沒有很明確的告訴大家有狀況
transcript.whisperx[244].start 7323.325
transcript.whisperx[244].end 7339.298
transcript.whisperx[244].text 因為你們要一篇完整的論述可是邏輯上應該是很快告訴大家你們要研究怎麼去處理這件事情這個我們會檢討第二個這個案子發生是凌晨四點多有狀況 開始尋五點多請問你們最後決策的點是幾點
transcript.whisperx[245].start 7347.236
transcript.whisperx[245].end 7363.349
transcript.whisperx[245].text 我們從4點27分之後開始搶修所以確實是把管制的範圍不是我說你們班表調整的那個最後決策7點半7點半7點半全都發出來對我們已經發了部分的資料好那這個事情有沒有要調整
transcript.whisperx[246].start 7364.871
transcript.whisperx[246].end 7388.724
transcript.whisperx[246].text 跟委員報告 這個也是個困難的抉擇啦因為我們是在將近7點的時候 也就是7點的時候我們終於搶通了雙線跟雙向部長 為什麼會困難的抉擇 為什麼因為要搶通雙線雙向 才能夠實施降載的營運否則就必須要停止那決策人是誰有我們這個EOC那他有什麼邏輯可以決策
transcript.whisperx[247].start 7392.546
transcript.whisperx[247].end 7422.001
transcript.whisperx[247].text 跟委員報告一下 基本上我們一開箱就以這個配置 憑經驗好了 我這樣叫憑經驗嘛不是我聽我講 你是憑你的經驗 憑你的推理 憑你的判斷對不對那好 現在發生四點多 那我請問一下 如果這事情發生在五點發生在六點 發生在凌晨三點 發生在早上八點發生在不同路段 就發生在台北板橋 發生在南港台北而已
transcript.whisperx[248].start 7423.564
transcript.whisperx[248].end 7443.193
transcript.whisperx[248].text 你們的答案會不會不一樣會 不一樣會不一樣那這不一樣的劇本在哪裡基本上是我們看看鎖定的期間一個小時可以進去洗盤像以這個case來講那這個標準在哪裡這個標準已經形成手冊嗎沒有 這個要看你的每個那誰決定嘛就看董事長 你知道你聽得懂我的意思嗎
transcript.whisperx[249].start 7444.232
transcript.whisperx[249].end 7462.065
transcript.whisperx[249].text 你不可以靠中經理靠資深副總大家用聰明你知道嗎我做簡單的解釋第一個啦這個行控上的為了安全一旦有異常事件他第一個會要求降速降速是降到5公里以下跟降到45公里以下結果就不一樣我現在問的就是說
transcript.whisperx[250].start 7464.326
transcript.whisperx[250].end 7478.176
transcript.whisperx[250].text 套炸凌晨一點發生在台北板橋凌晨一點發生在板橋台中發生在哪裡就每一個區段發生不同時間你要決策的時間也都不一樣嘛因為你有發車時間嘛你有從台中發的有從高雄發的對不對有從南港發的嘛每一個決策狀況都不一樣這個時候不能只開應變中心會議然後有一堆人坐在那裡說所以我們決定怎麼做不是這樣搞的啦
transcript.whisperx[251].start 7491.666
transcript.whisperx[251].end 7495.552
transcript.whisperx[251].text 這件事情你們一定要編好所有的劇本只要發生這個狀況一查表就是這個狀況後面所有跟的節奏都一樣這件事情董事長
transcript.whisperx[252].start 7505.492
transcript.whisperx[252].end 7514.821
transcript.whisperx[252].text 你必須把他很重視 你不能夠單單靠你的同仁啊每個人用每個人的經驗 各部門在那邊 運務部門也在那邊 到那邊說我現在車要怎麼調 你有車嗎 我們的站路能不能處理我們沒辦法處理我們有沒有接駁車 那接駁車怎麼聯絡 那整條路下去整個應變中心沒辦法處理啦
transcript.whisperx[253].start 7527.728
transcript.whisperx[253].end 7556.255
transcript.whisperx[253].text 跟委員報告 我們不是沒有劇本啦但是我想我關於劇本是不是能夠更精密更詳細 我這個我願意檢討好 這個檢討 我跟你講這個很重要 包括台鐵也是一樣這不可以說都靠應變中心我知道你們有成立應變中心裡面每個人都是專家因為每個人都已經營運高鐵那麼多的時間 各種狀況都遇過但是這一次的專業都台中苗栗這個題目啊 如果你交給一般的學者他會給你一堆答案啦
transcript.whisperx[254].start 7557.332
transcript.whisperx[254].end 7580.927
transcript.whisperx[254].text 我第一時間遇到這個的時候我的想法是說那你既然是台中苗栗那你不可以開台北台中嗎你不可以開苗栗高雄嗎這樣一直對開不行嗎確實不行為什麼不行因為高鐵它其實是需要有這個基地跟整備站才能夠發車那我當天我可不可以台中高雄這樣對開可不可以台中高雄可以對開對嘛
transcript.whisperx[255].start 7584.482
transcript.whisperx[255].end 7597.092
transcript.whisperx[255].text 可以嘛是那我可不可以台北台中對開可是問題是台北新竹對開台北新竹對開沒有辦法為什麼因為新竹沒有我們這個整備的這個基地好那台中高雄可以
transcript.whisperx[256].start 7597.639
transcript.whisperx[256].end 7619.705
transcript.whisperx[256].text 台中台北可以但是問題是他對行車效率會更差會比你們現在後來編的效率差嗎會台中高雄對開喔台中高雄對開台中高雄的部分效率會高但是我們還是要考慮到長城旅客而且長城旅客是我們主要的客源那我現在講這些有在你們劇本裡面嗎有有在你們劇本裡面所以你們後來決定沒有要開台中高雄對開對
transcript.whisperx[257].start 7621.165
transcript.whisperx[257].end 7642.574
transcript.whisperx[257].text 這個都在你們劇本裡面那下一次再遇到類似類似的狀況在不同的區間你們都有辦法很快決策如果有在劇本裡頭如果有在劇本裡頭一查表一查就這種狀況接下來後續採取的策略都有決策的速度會很快是跟委員報告我想最關鍵的一件事情是我們有六成的旅客事實上是在台中以北啦
transcript.whisperx[258].start 7643.354
transcript.whisperx[258].end 7669.869
transcript.whisperx[258].text 這個我了解所以台中跟台北之間的運行變成是我們所要的考量我相信你們你今天公開跟大家講你們有劇本所以接下來的角色並不會很困難因為劇本都有劇本都有任何區間在任何時間點查到有狀況查到查不到最後要做角色劇本一出現一查所有後面的配套全部都會出現對吧所以角色的時間會很快不會有困難啊
transcript.whisperx[259].start 7670.709
transcript.whisperx[259].end 7690.778
transcript.whisperx[259].text 對 我們會繼續深化會檢討那不會有困難嗎我們一定要不能有困難來應付那這次為什麼有困難其實不是有困難這次事實上是剛好在發車時間所以我們事實上搶修的過程是佔用了時間我們事實上是希望把它搶修完成讓它恢復正常營運是到七點半我們才確定雖然已經搶修到雙向了
transcript.whisperx[260].start 7691.812
transcript.whisperx[260].end 7714.822
transcript.whisperx[260].text 所以說但是必須要降載如果連雙項都不能搶修事實上7點半的決策會是停止好那請問董事長這一個決策的最高決策是你嗎最高決策是由總經理召集最後呈報到我這邊確定還要呈報你那你有在應變中心嗎有啊我在應變中心選主理不是啊我是說最後總經理決定之後還要報給你是那為什麼不是你決定呢
transcript.whisperx[261].start 7715.837
transcript.whisperx[261].end 7727.715
transcript.whisperx[261].text 因為我們應變中心的召集員在執行上的召集員是有總經理我是希望說接下來不管發生在哪一個時間點哪一個區間發生的狀況確定沒辦法排除了
transcript.whisperx[262].start 7728.254
transcript.whisperx[262].end 7751.375
transcript.whisperx[262].text 要做決策了 劇本一打開 所有後面配套都有了所有後面配套都有了 包括是不是要啟動解剖然後是不是每天有多少班次 商務艙怎麼處理是不是要全車自由坐 區間變成怎樣我相信你們做得到 但是請董事長再把公司這整套的劇本 跟後續處理的這些內容
transcript.whisperx[263].start 7752.256
transcript.whisperx[263].end 7768.446
transcript.whisperx[263].text 演練一下 是演練一下 嘗試演練一下讓這個同仁全部繃緊身心因為什麼時間點會發生這一種無法預期的錯誤這個可能都是要先預防的是 謝謝 我們會深入檢討好 謝謝好 謝謝王一川委員 謝謝石董事長我們現在請陳青龍委員發言陳青龍委員發言之後我們休息十分鐘
transcript.whisperx[264].start 7783.479
transcript.whisperx[264].end 7794.663
transcript.whisperx[264].text 好 謝謝教委 謝謝主席那我請我們交通部長還有我們的高鐵的董事長是董事長委員好部長好
transcript.whisperx[265].start 7802.065
transcript.whisperx[265].end 7809.287
transcript.whisperx[265].text 那部長我記得你在今年年初3月份的時候有參加台鐵改制為公司化的一個週年慶也表揚我們台鐵的這個優秀的員工
transcript.whisperx[266].start 7822.915
transcript.whisperx[266].end 7838.572
transcript.whisperx[266].text 那你在當場也跟台鐵做出一個承諾說要做台鐵人最堅強的後盾要向行政院爭取七大員工的福利請問部長這個承諾算數嗎 還在嗎
transcript.whisperx[267].start 7845.595
transcript.whisperx[267].end 7864.461
transcript.whisperx[267].text 我們要做台鐵人的後盾這個承諾當然會一直都在這個沒有問題好那我不曉得你的七大員工福利啊我沒辦法去細數但是啊我在這邊啊就跟我們的部長那台鐵董事長剛好也上來了OK來
transcript.whisperx[268].start 7867.901
transcript.whisperx[268].end 7884.33
transcript.whisperx[268].text 我們有一個售票獎金我們有一個售票獎金這是對我們台鐵員工的一個小的福利小的福利那跟部長我一個數據讓你來看一下我們
transcript.whisperx[269].start 7889.583
transcript.whisperx[269].end 7914.81
transcript.whisperx[269].text 過去一直有的就是有售票獎金喔那我從110年啊掉到114年我們的獎金預算喔年年有編列喔就是我們的這個獎金啊內含售票獎金但是我告訴你喔看得到吃得到啦我們這環港喔是看得到吃得到廣東話叫做見得到吃不到
transcript.whisperx[270].start 7919.537
transcript.whisperx[270].end 7936.513
transcript.whisperx[270].text 我跟部長講 連續五年喔 從111年到114年所有的員工 能夠領到這一筆獎金的通通視聽 通通掛站那我請問部長 這樣的獎勵制度這樣的獎勵辦法 你覺得不需要錢好嗎
transcript.whisperx[271].start 7943.854
transcript.whisperx[271].end 7950.02
transcript.whisperx[271].text 要不要 你要救台鐵人的後盾啊有這樣離譜的一個獎勵 辦法沒有預算 員工領不到 連續五年掛壓戰 結果辦法還是不改
transcript.whisperx[272].start 7962.478
transcript.whisperx[272].end 7982.637
transcript.whisperx[272].text 像委員報告你覺得呢辦法該不該改我覺得台鐵公司可以去討論這個部分應該要啟動討論然後再來跟委員報告為什麼會有這樣子的狀況過去有這樣子的獎金是因為我們大部分都是人工售票那個過程我瞭解現在已經變成電子售票跟機器售票你的辦法就要與時俱進
transcript.whisperx[273].start 7984.498
transcript.whisperx[273].end 8004.954
transcript.whisperx[273].text 如果我們的售票獎金不合時宜那你要改發其他演繹其他的獎金來獎勵員工啊而不是等一算辦法在那裡然後一直在那裡所以已經跟過去的人工售票不一樣所以你台鐵改制公司我們在建議的這個非常好我們應該要來討論一下說這個機制已經很像不符合現在的時代那看要怎麼樣去改變這個部分我們來檢討
transcript.whisperx[274].start 8014.121
transcript.whisperx[274].end 8025.848
transcript.whisperx[274].text 這個部長可能對台鐵也要多加要求那今天我為什麼沒有苛責台鐵雖然工會一直在成型希望對他們福利好一點因為
transcript.whisperx[275].start 8027.562
transcript.whisperx[275].end 8043.473
transcript.whisperx[275].text 5.25那天我剛好坐台鐵而且台鐵又剛好那麼準時跟過去的台鐵給大眾的印象完全不一樣所以部長跟我們許多委員同仁統統在高鐵
transcript.whisperx[276].start 8044.674
transcript.whisperx[276].end 8062.751
transcript.whisperx[276].text 塞住我剛好坐台鐵所以我今天沒有苛責台鐵感謝委員支持我們這個北中直達車我們這個直達車在對風源的鄉親來講效益非常大台鐵這個部分我要指責肯定那我們就回到我們的高鐵的一個狀況高鐵的一個狀況來我們下一頁我想
transcript.whisperx[277].start 8070.256
transcript.whisperx[277].end 8075.286
transcript.whisperx[277].text 整個事件發生我們都是不期待會發生但是真的狀況來了我們對旅客
transcript.whisperx[278].start 8079.34
transcript.whisperx[278].end 8105.196
transcript.whisperx[278].text 已經到站的旅客還有當天一起準備要搭高鐵的旅客我們怎麼去公告怎麼去把這個訊息能夠在第一時間最快的速度全面的讓南北兩地各地的有要搭乘高鐵的乘客來了解這個部分
transcript.whisperx[279].start 8106.465
transcript.whisperx[279].end 8130.93
transcript.whisperx[279].text 董事長在這裡請問你 你覺得做得好嗎是 跟委員報告我想確實大家對於沒有辦法把資訊通知到每一個旅客不管是上車 還沒有上車而讓旅客知道事實上可能延誤了時間的這個部分我想高鐵覺得很抱歉所以這個部分我覺得技術的部分我們都被專業交給技術去處理
transcript.whisperx[280].start 8133.65
transcript.whisperx[280].end 8155.187
transcript.whisperx[280].text 但是這個讓旅客提早知道我們高鐵的狀況讓準備要搭車還有預計要搭車當天可以做他自己的應變處置的部分你要最快的速度讓旅客知道這一點我看你當天的旅客留言你就知道了嘛
transcript.whisperx[281].start 8155.988
transcript.whisperx[281].end 8172.219
transcript.whisperx[281].text 你根本就覺得被騙啊你騙我上車我反而被困在車子裡面我沒辦法去做我其他的一個應變的一個的處理嘛對不對所以這個部分我覺得在未來
transcript.whisperx[282].start 8174.039
transcript.whisperx[282].end 8190.161
transcript.whisperx[282].text 如果真的又有狀況我們當然不希望但是這樣的一個通知跟公告是我們要做最優先的一個事情我們會把應變機制以及資訊通知再做進一步的調查好 那下一位我想請教那個
transcript.whisperx[283].start 8192.323
transcript.whisperx[283].end 8219.741
transcript.whisperx[283].text 當天總市長一直看不到你身影我剛剛聽到我們的整個處置措施我們總經理都還要跟你回報你當天有在應變中心嗎應變中心就在總公司就在我辦公室旁邊我在總公司你在總公司我剛剛聽到王一川委員你說你是在群組裡面而已你當天都在辦公室是確定嗎確定那你為什麼不出面
transcript.whisperx[284].start 8221.323
transcript.whisperx[284].end 8231.183
transcript.whisperx[284].text 有的依照公司的規章應變中心的召集人是總經理那你知道你的部長卡在車上嗎知道那你讓部長代替你發言
transcript.whisperx[285].start 8232.796
transcript.whisperx[285].end 8260.835
transcript.whisperx[285].text 你身為董事長都不發言報告委員我沒有代替董事長發言我是剛好下車以交通部長的身分受訪嘛媒體在堵麥所以我當然會我了解因為史喆是你是你的資深的前輩啊你也不敢苛責他啦史喆董事長不講話你也不敢理解這個我了解啦我想我們各級政府各單位在應變的當下都是由單位來發言啦而不是由首長來發言那你為什麼不發言
transcript.whisperx[286].start 8263.156
transcript.whisperx[286].end 8287.288
transcript.whisperx[286].text 我們在應變的當下都是由機關單位的發言人發言我們正式發言就是在清晨五點鐘清晨五點鐘正式決定正式營運之後我藉由我的名義來正式說明成因後果及因素這個部分我就跟你這樣來一個要求另外
transcript.whisperx[287].start 8288.22
transcript.whisperx[287].end 8302.918
transcript.whisperx[287].text 我最後要要求的這個事件影響了整個台灣的整個南北旅客的一個運輸跟安全當然事件的原因有我們高鐵在調查那在這個部分我要建議
transcript.whisperx[288].start 8304.299
transcript.whisperx[288].end 8324.642
transcript.whisperx[288].text 運安會運安會今天沒有來嘛運安會應該要介入調查應該要介入調查不能只有事故有安全的一個狀況發生才調查我覺得光有我們高鐵本身自己的調查我們要取得我們高鐵
transcript.whisperx[289].start 8325.943
transcript.whisperx[289].end 8348.976
transcript.whisperx[289].text 對一個公共的一個信任度我建議啦 部長我建議啦 有運安會也來參與來作為公正的第三方來跟我們針對高鐵這次的事件來做一個完整的調查那也重建我們高鐵的一個信任 好不好
transcript.whisperx[290].start 8350.076
transcript.whisperx[290].end 8360.259
transcript.whisperx[290].text 感謝委員的建議這個部分我們會請鐵道局聯繫運安會看這個條件有沒有符合運安會啟動調查的條件那在這裡我額外再一個建議這一次的一個危機的處理必須要台鐵來幫忙嘛台鐵緊急來安排停靠新烏日站對不對我在這裡也建議交通部建議鐵道局建議我們台鐵新烏日站
transcript.whisperx[291].start 8379.585
transcript.whisperx[291].end 8400.876
transcript.whisperx[291].text 的一個提升啊真正建議我們台鐵跟高鐵的串聯啊我想這次交通部應該可以去做一個規劃如果今天的新烏日站能夠提升啊它等於會變成常態的常態的包括我們自產號內車普悠馬內車跟高鐵的一個
transcript.whisperx[292].start 8406.359
transcript.whisperx[292].end 8433.409
transcript.whisperx[292].text 這個快速的一個運輸的連結我想如果真的以後碰到有這樣的交通啊的一個運輸要互相支援啊新烏日站會成為一個很重要的一個站所以我在這裡建議九龍部長這裡應該要去做一個長遠的考慮為台灣的長途的一個旅客一個運輸做一個通盤的一個這樣的一個規劃
transcript.whisperx[293].start 8436.476
transcript.whisperx[293].end 8448.83
transcript.whisperx[293].text 好 謝謝委員 我們確實在朝這個方向在演繹沒有錯好 謝謝謝謝委員好 謝謝陳其東委員的發言 謝謝部長 謝謝董事長我們現在先休息十分鐘
transcript.whisperx[294].start 8470.794
transcript.whisperx[294].end 8472.125
transcript.whisperx[294].text 響鐘
transcript.whisperx[295].start 9071.73
transcript.whisperx[295].end 9090.089
transcript.whisperx[295].text 好那我們繼續開會下一位登記質詢的委員黃建豪委員請黃建豪召委好謝謝主席主席我們要請交通部陳部長請陳部長台灣高鐵史哲董事長請史哲董事長
transcript.whisperx[296].start 9094.591
transcript.whisperx[296].end 9110.033
transcript.whisperx[296].text 委員好部長好董事長好我想就照今天的狀況其實今天的報告不管是交通部也好或是說在這個高雷公司也好的兩份的報告書面資料裡面包含剛剛口頭上講的說法上面到目前為止
transcript.whisperx[297].start 9111.896
transcript.whisperx[297].end 9131.39
transcript.whisperx[297].text 真實的原因還沒有出來嗎你們都是說還要盡速的去要求所謂調查報告的結果那我想好奇說那到底這個盡速因為董事長剛剛也提到說會有一個期程但是剛剛其實剛剛其他委員提到一件事情包含說所謂第三方公職單位的這部分也是基本上是交通部同一套人馬那到底這個盡速
transcript.whisperx[298].start 9132.898
transcript.whisperx[298].end 9157.018
transcript.whisperx[298].text 有沒有一個要求的期程你們總會有一個說法因為其實我們那時候上禮拜排在今天的預期是說過個禮拜可能會有些比較具體的一些檢討報告檢討的狀況或者是方案出來了所以我們才排今天來做相關的說明那但是今天看到的書面來講還是處在一個禁書的狀況那到底這個禁書的狀況什麼時候答案才會有正式的說法讓全民來了解
transcript.whisperx[299].start 9157.666
transcript.whisperx[299].end 9184.841
transcript.whisperx[299].text 謝謝委員的關心事實上我們比誰都擠啦因為我們會影響到我們後續的更新工程那我們已經折成兩個第三方單位也就是鐵岩中心以及這個張簡老師的這個軌道中心事實上代表民間跟原廠跟我方四方事實上要趕快競速擬定出一個期程期程目前還沒有出來但是不能無限制的等待這個我們知道期程一旦出來我們也會競速跟委員報告跟社會報告
transcript.whisperx[300].start 9186.186
transcript.whisperx[300].end 9189.995
transcript.whisperx[300].text 那按照網利或是按照你們公司的一些組織規章那個競速有沒有
transcript.whisperx[301].start 9191.055
transcript.whisperx[301].end 9216.142
transcript.whisperx[301].text 就是什麼時候出來當然你說你要明年後年什麼時候出來但是你這個答案比如說今天禮拜今天禮拜四了今天六月四號但是要今天來宣布說我什麼時候把答案公佈就是那個這個是什麼時間點我沒有預期說你什麼時候把答案出來跟委員報告好第一個不會是明年啦第二個就是說這個如果是屬於我個人可以決策的事情我當然應該承諾但是這是屬於一個專業上必須要給
transcript.whisperx[302].start 9218.963
transcript.whisperx[302].end 9239.69
transcript.whisperx[302].text 公正單位一個緩衝調查的時間這個也必須齊成由他們提出我會請他們儘速提出來跟大家報告好不好好再來剛剛有一個其實他在技術面上還有一個問題就是說其實這一次的這個主要目前看起來的狀況是所謂的轉折器控制機箱的故障電源機箱模組當初早上當初是因為現在進行20年的更換嘛
transcript.whisperx[303].start 9241.331
transcript.whisperx[303].end 9266.375
transcript.whisperx[303].text 那出問題的這個零組件 它當然是當天的25號的凌晨換了那後來發現它有狀況其中一組 其中這兩組發生狀況之後那現在等於停止這個更換的動作是那停止更換的動作 第一個問題是說會不會影響到後續高鐵的營運就是你等於同時間現在有新舊的機組在進行喔已經有370多組換完了然後還有大概100組左右還沒有換
transcript.whisperx[304].start 9267.096
transcript.whisperx[304].end 9292.782
transcript.whisperx[304].text 那今天暫停更換的這個作業之後新舊之間會不會有衝突這第一個問題那第二個問題是那過去換完的370組有沒有問題有沒有再檢測過會不會我現在先暫停不換了嘛那問題是前面那370組是不是他的品質他的這個良率跟出現問題的這一組有沒有做過比較會不會導致說我前面370組換完了那結果後面
transcript.whisperx[305].start 9294.759
transcript.whisperx[305].end 9312.976
transcript.whisperx[305].text 現在雖然中停 但是現在站點沒有換但是結果發生了前面370組出現狀況導致高停又再次發生這種重大的變化委員的問題涉及相當專業我是不是請總經理來回答好 謝謝我這邊跟委員說明一下其實我們已經換了370組從113組換到現在是沒有問題那這一次這樣換其實我們是在做中期檢修的更新其實本身設備是沒有問題的
transcript.whisperx[306].start 9320.083
transcript.whisperx[306].end 9341.872
transcript.whisperx[306].text 所以即使說我現在暫緩更換也不會對我現在新舊那個設備的那個產生任何異常的狀況一定不會的那對不起總經理這個我再多問一下現在等於新舊共存嘛那我今天之所以要換那是因為20年時期現在都要大修那我今天如果
transcript.whisperx[307].start 9343.24
transcript.whisperx[307].end 9365.547
transcript.whisperx[307].text 你說新舊都沒問題換到幹嘛我幹嘛換我們是新品跟舊品因為舊品我們已經使用了20年了對使用20年那這個一般來講電子設備使用一段時間一定要去更新換新的那這一次就是在換電聯模子而已其實我們下面後面下面的設備也是一併都要更換只是我們安排在不同的時期會更換而已
transcript.whisperx[308].start 9366.55
transcript.whisperx[308].end 9387.475
transcript.whisperx[308].text 我想這樣啦 其實我們今天提這個問題是要擔心說對我們來講 當然我們是外行 我們是在旁邊看嘛我們就我們一般的情況理解 今天20年期限到這種電子零組件它有個所謂的期程 那加上這幾年當然氣候變遷啊等等的 所以它的耐用度 它的良率可能會受到影響所以你前面的371組換完了 那後面這些都還沒有換
transcript.whisperx[309].start 9390.868
transcript.whisperx[309].end 9412.694
transcript.whisperx[309].text 如果你先保證說前面370組換完了不會有問題但後面那些沒換的已經達到20年年限了那在未來的這個幾個月或幾週他會不會有什麼狀況那如果確定不會有那當然沒問題那我要問說那後面這些還沒有換的那你們是不是也去檢測過確定他短期內不會產生狀況所以他可以暫時不用換你這個決策是不會有問題的我是要問這個
transcript.whisperx[310].start 9417.156
transcript.whisperx[310].end 9438.553
transcript.whisperx[310].text 這個基本上就跟剛剛講這個是新品跟舊品而已事實上系統是沒有變更的那我們原來更換的是要到從2024年要到2026年要換完所以即使是我們本來就是到明年底會整個會換完所以基本上還是有時間去更換那在另外在沒有更換之前
transcript.whisperx[311].start 9439.213
transcript.whisperx[311].end 9457.913
transcript.whisperx[311].text 對我們的系統來講我們每天每天都有定期我們事實上是有定期的PM的工作在執行都會去做檢測不會說就放在那邊就不理了好 總經理謝謝部長這個高鐵的狀況當然在專業的部分或在所謂的高鐵營運本身是高鐵的事情但是在整個調度的部分我想
transcript.whisperx[312].start 9458.994
transcript.whisperx[312].end 9481.586
transcript.whisperx[312].text 系統異常大概早上四點凌晨四點多大家都知道了那剛剛很多委員提到說沒收到通知 包含我本人當然我們都沒收到通知包含說你的APP包含說我們會員的簡訊所以當天我們在交通委員會很多委員提出相關的建議希望說這個在通知大家的狀況下要能夠確實通知但是問題是除了讓旅客知道說這個事情
transcript.whisperx[313].start 9483.506
transcript.whisperx[313].end 9510.631
transcript.whisperx[313].text 這個班次會延誤之外台灣現在南北縱下的主要幾個交通高鐵台鐵兩條國道那就沒有了但是高鐵台鐵兩條國道基本上都是屬於部長的轄下能夠去調度的這個工具所以應該說在這次事件這次事件我想這是史上第一次高鐵全線受到影響以前過去幾次都是除非颱風天啦但是其他幾次的故障可能是除了13年那次大整個shut down之外
transcript.whisperx[314].start 9511.671
transcript.whisperx[314].end 9530.471
transcript.whisperx[314].text 過去十幾年來大部分時候都是部分部分部分但是第一次出現整條出現狀況的時候未來經過這件事情之後部長這邊有沒有提出提出什麼樣的方案能夠去處理說南北縱向的因為其實這個對台灣的整個不管經濟也好國安也好都很重要嘛因為你就就就就這四個選項而已那未來要怎麼調度這部分
transcript.whisperx[315].start 9531.212
transcript.whisperx[315].end 9556.779
transcript.whisperx[315].text 教育部有什麼樣的做法感謝委員您在關心這一點其實關係到整個台灣的交通韌性的問題所以在當天的早上大概八點多的時間我人還在車上我就馬上聯繫希望說台鐵可以趕快作為備援的這個運作所以台鐵也相當的快在十點的時候就已經加開這個自強號可以讓他全線可以不對號可以直接讓他上車讓民眾
transcript.whisperx[316].start 9557.859
transcript.whisperx[316].end 9576.231
transcript.whisperx[316].text 可以透過台鐵來做轉運而且是做整天的這個備援機制這是一個方面那第二個方面是在當天發生事情狀況之後我回到部裡面我們召開了緊急應變會議我們召開緊急應變會除了對當天的應處之外更重要的是我們不曉得隔天到底
transcript.whisperx[317].start 9576.591
transcript.whisperx[317].end 9605.16
transcript.whisperx[317].text 能不能運行在高鐵的部分我不曉得他修不修得好這個部分我們沒有把握所以備援機制我們也同時在討論除了台鐵之外委員剛剛所提到的國道我們國道科運我們也設計了從新竹到台北從桃園到台北我們的國道科運的接駁機制我們那個時候也列入討論那另外比較量比較大的在北部的輸運的部分捷運的部分機捷的部分我們那個時候也有納入討論那不過因為我們在考量到說
transcript.whisperx[318].start 9605.74
transcript.whisperx[318].end 9635.08
transcript.whisperx[318].text 因為季節平日就已經非常擁塞了所以我們不曉得他能夠提供多少的運量出來所以我們當時的備援機制也有討論到但要不要用可能放在比較後面所以整體的備援機制確實是交通部應該要做的這個工作那這個部分我們也會透過一次一次的經驗我們的那個建立的SOP也建立起來跟委員報告好 部長謝謝 經過這一次事件我們希望說後續還是要提一份書面給交通委員會的所有委員讓大家知道說第一個是說
transcript.whisperx[319].start 9635.7
transcript.whisperx[319].end 9658.212
transcript.whisperx[319].text 比如說 其實剛剛王一山委員講的也沒錯就是你今天4點27分出現異常 那什麼時候做決策因為部長或是董事長剛剛提到 部長提到一件事情是我們到時候在搶學 我們不知道什麼時候搶學好希望他搶學好 能夠全線恢復正常但是這個過程 這個動態滾動的過程什麼時候讓民眾知道 我有去做行程的預排以及你交通部什麼時候開始啟動周邊的協調作業 我覺得這個
transcript.whisperx[320].start 9661.567
transcript.whisperx[320].end 9672.293
transcript.whisperx[320].text 工作流程要趕快把它建立出來那我們希望說一個月給我們一份書面擺得起嗎 做出來嗎我們來做這個方面的檢討檢討的報告再向委員說明好 謝謝部長 謝謝董事長謝謝 謝謝委員好 謝謝黃建豪 張偉的資訊
transcript.whisperx[321].start 9692.287
transcript.whisperx[321].end 9704.478
transcript.whisperx[321].text 好 接下來請邱若驊委員發言謝謝主席主席請高鐵公司石澤董事長還有鐵道局楊局長請石董事長跟楊局長
transcript.whisperx[322].start 9716.15
transcript.whisperx[322].end 9730.286
transcript.whisperx[322].text 局長 董事長我有看到你們這次提供的報告那報告中有提到高鐵通車即將滿20年那日常的維修還有系統更新是在每日的營運結束後進行的我想先請教董事長那在平均進行的時間是多久
transcript.whisperx[323].start 9733.662
transcript.whisperx[323].end 9758
transcript.whisperx[323].text 你們的這次的系統更新然後還有維修是在每天營運之後進行的嗎是那是在多久時間內你們必須要完成這些工作項目這個是一個2024年的更新計畫當中的某一個項目就是電源的更新這個更新計畫是3年我們現在已經完成了83%也就是大概3萬你說你提到的是進度嗎那我想說每天你們要在多久的時間內必須要完成這些4.5個小時
transcript.whisperx[324].start 9759.16
transcript.whisperx[324].end 9781.698
transcript.whisperx[324].text 4.5個小時那這樣子其實時間蠻緊的嘛那交通部跟鐵道局這邊有沒有要重新檢討就是你們在這段更新期間的作業那不是讓高鐵再進行這一次的系統更新還是就是工作項目中然後你們有這樣子的壓力下要進行維修你們有沒有再重新檢討這個時間這是否是足夠的而且是不會影響到隔日的營運還有投車
transcript.whisperx[325].start 9782.97
transcript.whisperx[325].end 9810.625
transcript.whisperx[325].text 是跟委員坦誠說明我們12點05分收班之後那第二天是5點50分發第一班車那扣除巡軌以及相班整備的工作所以原則上是4點5個小時要進行維修的狼帶確實是對於這個維修的工作是相當的急不過這個恐怕也是一個現在必須要承認的現實因為很多民眾還希望我們延後收班甚至更提早發車
transcript.whisperx[326].start 9811.405
transcript.whisperx[326].end 9838.296
transcript.whisperx[326].text 那事實上維修的時間就更短了那在這次的事件之後你們有沒有再重新檢討這個流程跟作業我們有正在檢討甚至包括說我們會把當中比較關鍵性的維修工作挑出來希望它的進場時間能夠更提早這一次的關鍵的系統的更新那你們是誰來做這個審查的優先順序是交通部還是鐵道局是由高鐵的維修部門是由高鐵的維修部門那你們這項計畫總共投入了多少經費
transcript.whisperx[327].start 9840.033
transcript.whisperx[327].end 9869.478
transcript.whisperx[327].text 是不是我請總經理針對這一個的話總共花了15億那之前鐵道局有沒有做過評估還有審查哪一些是應該是要優先來做的跟委員報告這個屬於公司的維修作業按照法定的相關程序並不需要報到鐵道局來審查好那這次的事件之後那報告說你們要由第三方來去做來去做檢討嗎那調查的範圍有沒有包含鐵道局的監理呢
transcript.whisperx[328].start 9872.74
transcript.whisperx[328].end 9898.247
transcript.whisperx[328].text 這個會從我們鐵道局的這個監理程序來進行相關的調查所以也會納入事前的監理嗎所謂的事前監理因為按照現在的分工作業的話這個是屬於公司的維修作業原則上是由公司來進行相關作業的負責那如果經過這一次的這個事件調查之後呢認為公司的相關作業有需要做檢討跟改進的地方我們會來要求
transcript.whisperx[329].start 9899.123
transcript.whisperx[329].end 9914.976
transcript.whisperx[329].text 局長照這樣子聽下來你認為這個全責都是在高鐵公司因為事實上公司要負責營運跟維修高鐵已經進入營運20年了也不是突然知道的事局長你平常有沒有掌握關鍵設備的清單呢
transcript.whisperx[330].start 9920.659
transcript.whisperx[330].end 9935.339
transcript.whisperx[330].text 這是關鍵設備更新的清單還是這只是由高鐵來做負責這個基本上都是由高鐵公司來做負責但是重要設備的這個重置也就是更換我們會在財務場合裡面做一些了解這會不會納入這一次的檢討報告會
transcript.whisperx[331].start 9937.001
transcript.whisperx[331].end 9954.65
transcript.whisperx[331].text 這也會拿入檢討報告那董事長其實這一次你們有說你們有跟旅客溝通很多嘛那像你們在網站上面APP上面還有新聞都有發布可是民眾他們當時也沒有得到很完整的資訊那經過這一次的事件你們有沒有要做你們會做出什麼樣的改善有什麼其他的應變機制
transcript.whisperx[332].start 9955.45
transcript.whisperx[332].end 9983.809
transcript.whisperx[332].text 在我今天報告裡面的檢討反省換成短中長期其中的中期就是我們希望能夠精進有關於旅客資訊的通知的透明化跟準確性那這個部分呢我們恐怕是需要更精密的這個大數據的分析因為每一次班版的調整在不同的時刻不同的情境它事實上它的預測分析是會不同但是我覺得我們的旅客要求說不能無限制的等待而不知道延誤的時間這是合理的所以我們這個部分會來精進來改進
transcript.whisperx[333].start 9985.89
transcript.whisperx[333].end 10011.995
transcript.whisperx[333].text 是那我剛才也有提到其實你們通常都有一定程序的應變SOP嘛那你們這一次有沒有就也是會提供就是應對的SOP嗎不是我們這一次是在7點半已經了解到說事實上修復已經有一定的成果但是事實上沒有辦法解決全線的問題但是已經達成雙線雙向因此我們才在8點鐘的時候改成為替代班表這個就是SOP
transcript.whisperx[334].start 10012.717
transcript.whisperx[334].end 10025.954
transcript.whisperx[334].text 其實你們在每天就是進行這樣子的設備更新那其實一定在營運之前你們還會做確保嘛當天行車是安全的那當天為什麼沒有辦法掌握我們當天在4點27分發現信號異常5點38分成立應變中心
transcript.whisperx[335].start 10031.401
transcript.whisperx[335].end 10051.863
transcript.whisperx[335].text 這段時間都一直在進行搶修的工作而搶修事實上是有進度把影響的範圍縮小因此在七點鐘的時候能夠達成雙向通車但是我們確實沒有辦法完全依照正常的時間表但是至少不會全面停止如果在七點半的時候之前沒有辦法達成雙向通車的時候事實上我們也只能選擇停止
transcript.whisperx[336].start 10053.465
transcript.whisperx[336].end 10078.777
transcript.whisperx[336].text 所以七點半做成決策八點改替代班表改成一個小時三班是我們不得已的做法希望維持基本的通行的運能所以這裡還是跟大家說聲抱歉我們在維持基本運能的選擇狀況底下確實最大程造成很大的延誤所以那剛才就是除了就是我剛才說的SOP之外然後那也請再提供你們這一次的檢討資料給交通委員會那這邊主席請部長
transcript.whisperx[337].start 10087.537
transcript.whisperx[337].end 10106.346
transcript.whisperx[337].text 是 部長 獨駕的問題喔那交通部這次對外說明說要加重處罰然後還有那請鐵道局還有石頭市長也先請回座那也包括吊銷要照照然後限制重新考照那還有針對這些獨駕的駕駛他們也要完成毒品危害的講習還有戒營治療那這方向本席也是支持的那
transcript.whisperx[338].start 10106.946
transcript.whisperx[338].end 10124.709
transcript.whisperx[338].text 其實獨駕跟酒駕它不同嘛那酒駕它有比較成熟的裁罰跟追蹤制度那獨駕它牽涉毒品的種類那還有它的進入檢驗還有戒指再放風險管理上面會比較複雜那想請教部長那針對獨駕者他被吊銷之後那交通部要如何來防止他再次上路
transcript.whisperx[339].start 10125.961
transcript.whisperx[339].end 10151.519
transcript.whisperx[339].text 報告委員當然一方面我們的行政法則上面必須要加重這是一方面 二方面是對於大家在關心的車輛沒入的部分我們確實也在研議而且真的要朝這個方向來做我們希望說未來只要你敢獨駕不管車子的車主是不是獨駕本身這位獨駕者我們還是傾向把車輛直接做沒入的動作
transcript.whisperx[340].start 10152.199
transcript.whisperx[340].end 10174.427
transcript.whisperx[340].text 交通部現在有在演繹也有在討論說就是針對這些獨駕者他們被吊銷之後他們幾年之後還可以再考照那目前交通部的態度是我們的態度目前第一我們當然是要延長他這個考照的時間第二即便是讓他考到照之後我們也只會先發短期的駕照短期的駕照三年期的短期駕照要觀察六年
transcript.whisperx[341].start 10175.067
transcript.whisperx[341].end 10194.868
transcript.whisperx[341].text 六年之後確定沒有再吸毒者我們才會讓他有駕照而且確定沒有吸毒還必須要有他的這個介質的證明要有醫生方面的證明而且或者是必須要上過樂界方面的課程如果他被吊銷駕照之後如果他又被查獲那交通部你們有沒有就是準備要建立一個系統還有一個追蹤追蹤的系統還有清單
transcript.whisperx[342].start 10195.769
transcript.whisperx[342].end 10213.542
transcript.whisperx[342].text 追蹤的系統我們都會有建立那另外針對說如果他已經駕照已經被沒入了或者是說被扣掉銷了他還去駕車的話我們這方面的罰則本來是一萬二一般都是一萬二無照駕駛但只要是獨駕的我們都是用三萬六而且可以累加
transcript.whisperx[343].start 10214.566
transcript.whisperx[343].end 10228.974
transcript.whisperx[343].text 其實先民眾最擔心的就是車輛目錄之後其實他們還可以再駕駛親友的車或是他們可以駕駛竹林車那也希望交通部這邊可以再做分級管理那交通部目前還在研議就是三年之後還要再觀察六年
transcript.whisperx[344].start 10230.355
transcript.whisperx[344].end 10254.851
transcript.whisperx[344].text 那這邊也就是接下來會和衛福部在做一個聯防的機制嗎我們這件事必須要跟衛福部合作也必須跟法務部還有就是警政單位就是內政部我們各個單位大家會合作把這個名單釐清然後再來它的介制的資料也必須要大家串接起來像高風險的管理然後還有衛福部那邊的資料那也請部長這邊再多加留意是好沒問題謝謝委員
transcript.whisperx[345].start 10257.694
transcript.whisperx[345].end 10285.77
transcript.whisperx[345].text 好 謝謝邱榮浩委員 謝謝部長接下來我們請楊瓊英委員發言謝謝主席 楊瓊英發言我們邀請部長鐵道局跟高鐵董事長三位好 請部長董事長跟我們局長委員好
transcript.whisperx[346].start 10294.508
transcript.whisperx[346].end 10312.76
transcript.whisperx[346].text 部長董事長還有我們鐵道局針對5月25號這次高鐵的大霧點事件我要替我們全台中全中台灣的鄉親要一個公道因為5月25號如果嚴肅的來講它不是只有一個
transcript.whisperx[347].start 10315.349
transcript.whisperx[347].end 10329.739
transcript.whisperx[347].text 這個交通樞紐的一個現象那它更是一個災難的現象因為我們看到現場整個站體塞爆整個月台塞爆大廳塞爆排隊排到外面
transcript.whisperx[348].start 10330.399
transcript.whisperx[348].end 10360.059
transcript.whisperx[348].text 那民眾不知道我到底車子什麼時候來我到底幾點我到底回不了家尤其我們中部地區很多人住在台中但是要工作在高雄工作在這個台北所以他到底上得了班尤其是出國的那他可不可以搭上這個飛機大家很緊張很緊張那在這樣的情況之下我要坦白講那一天沒有發揮功能因為連計程車都大排的
transcript.whisperx[349].start 10362.82
transcript.whisperx[349].end 10385.732
transcript.whisperx[349].text 這個這個非常的多元那同時運量也不足 接駁也非常的混亂所以我在這邊要說政府一直告訴我們大烏日轉運中心大烏日轉運中心但是整個轉運功能可以說那一天是直接破空所以我要請問高鐵台中站是全線最重要的南北轉運樞紐之一
transcript.whisperx[350].start 10386.972
transcript.whisperx[350].end 10399.189
transcript.whisperx[350].text 那請問在事故發生之後有沒有啟動跟台中市政府的橫向聯繫有沒有立即通知台中捷運來加密搬賜有沒有這個需求同時有沒有立即啟動接駁的這個輸運請做說明
transcript.whisperx[351].start 10404.017
transcript.whisperx[351].end 10421.918
transcript.whisperx[351].text 向委員報告當天早上我在車上的時候大概八點多我在車上就直接指揮請台鐵公司馬上針對新烏日站做這個接駁的這個輸運協助接駁的輸運尤其在新自強號EMU3000的部分我希望說在高鐵站如果大家
transcript.whisperx[352].start 10422.338
transcript.whisperx[352].end 10437.934
transcript.whisperx[352].text 搭高鐵不便利的時候可以有台鐵可以作為轉乘的一個功能那當時我們並沒有聯繫台中市政府我的部分沒有聯繫台中市政府原因是這樣因為通常在高鐵站台中高鐵站不是往南就是往北
transcript.whisperx[353].start 10438.494
transcript.whisperx[353].end 10453.438
transcript.whisperx[353].text 一定是跨縣式的不會是在台中裡面來移轉所以我來優先處理的部分是跨縣式的運具我們必須要把它跟得上所以台鐵公司很感謝台鐵公司在當天的10點針對新烏日站的部分就馬上做接駁的這個動作這個部分我們馬上來處理
transcript.whisperx[354].start 10456.401
transcript.whisperx[354].end 10472.01
transcript.whisperx[354].text 部長你這個回答難怪當天亂成一團所以我必須要要求也就是未來因為整個輸運體系沒有完整性沒有完整性相關單位也都在這裡所以我必須要要求一個月內你們去檢討
transcript.whisperx[355].start 10473.371
transcript.whisperx[355].end 10500.796
transcript.whisperx[355].text 我們不希望發生但是萬一發生的時候我們的輸運到底要怎麼去做這個非常重要一個月內請把這個輸運的這個方式各種面向各多元而不是只有單一他也可以回家趕快我運用其他的方式我到哪裡趕快再去運用其他的交通工具啊對不對當然你說台鐵這重要但是還有很多的其他的方式啊為什麼都不用
transcript.whisperx[356].start 10501.596
transcript.whisperx[356].end 10511.06
transcript.whisperx[356].text 所以會亂成一團所以一個月內將你們輸贏的方式去檢討給本席 可以吧可以好 接下來我要跟你討論更嚴肅的問題 賠償的問題賠償的問題 現在是民國二現在是西元二零二六年我們的賠償訂約是什麼時候訂的
transcript.whisperx[357].start 10521.927
transcript.whisperx[357].end 10543.854
transcript.whisperx[357].text 20年了所以我要請教部長因為當天公布的就是延誤30分鐘退半假董事長在這邊一個鐘頭的是退全票但是這不是幾百塊的問題啊而是當你的乘客他要北上開會他要簽約他要出國他要看病
transcript.whisperx[358].start 10545.1
transcript.whisperx[358].end 10559.864
transcript.whisperx[358].text 有的人錯過了 就像我們也接到陳情他雖然上了 但是停停 走走 停停 走走最後他趕不上那班飛機 差了五分鐘差了五分鐘 他趕快要再去買另外一張機票那請問 他來請問 他原來的那張機票你們要退給他嗎
transcript.whisperx[359].start 10568.334
transcript.whisperx[359].end 10590.633
transcript.whisperx[359].text 還是只有這幾百塊到桃園幾百塊你退給他因為我們要知道高鐵票呢他不是只有交通工具而已耶他非常的重要他背後所隱藏的是整個商務甚至醫療甚至他的時間成本家庭的一個安排所以我在這邊要正式的來要求也就是
transcript.whisperx[360].start 10592.718
transcript.whisperx[360].end 10616.593
transcript.whisperx[360].text 針對於旅客運送定型化契約部長 鐵道局長在這裡高鐵在這裡現在電商的平台也有說我如果你買了一個瑕疵品我買一賠三現在電商企業也有如此那我們已經20年了 像這一次我們接到了這麼多的陳警案件 這找誰賠我們還要委請律師
transcript.whisperx[361].start 10620.114
transcript.whisperx[361].end 10642.395
transcript.whisperx[361].text 那到底我們政府在這方面我們有沒有要做處理請教部長 請教董事長向委員報告這個部分其實牽涉的面向相當相當的廣因為所有的運輸行業我們目前的定型化契約大概都是同樣的模式那如果還要牽涉到這個賠償的部分可能整體的運輸行業都必須要一體試用
transcript.whisperx[362].start 10643.456
transcript.whisperx[362].end 10664.729
transcript.whisperx[362].text 那包含說前兩天其實台中捷運在上班時間它也停時了所以如果要處理不會只有高鐵像台中捷運也必須要做賠償的動作那所有的運具包含飛機也好或者是軌道也好或者是客運也好都必須要有這樣的機制我想這個是牽涉的面向比較廣請委員讓我們一些時間來討論跟研議
transcript.whisperx[363].start 10668.69
transcript.whisperx[363].end 10691.415
transcript.whisperx[363].text 這個時間兩個月內你們去討論因為20年來高鐵的賠償機制的定型化契約那我建議我們可以拿出來檢討因為民眾損害太多我們高鐵營運辛苦但是也賺錢但是你不能讓受害的民眾自己吞下去啊對不對所以這個有檢討的空間吧兩個月內請將賠償高鐵賠償的定型化契約去檢討出來
transcript.whisperx[364].start 10695.996
transcript.whisperx[364].end 10721.25
transcript.whisperx[364].text 我們會針對整體的運輸我們再來做討論所以我要說的這不是一個單一事故就像您說的高鐵化老化的這個現象因為現在訊號異常設備異常延誤增強20年了我們要怎麼樣讓旅客他可以安全他可以放心他可以便捷我相信這是高鐵公司的一個責任跟一個義務所以因此
transcript.whisperx[365].start 10721.61
transcript.whisperx[365].end 10744.519
transcript.whisperx[365].text 一直告訴我們 我們有備援車啊 我們有備援這個系統我們應變系統啊 但是發生之後呢 大家問也就是說 後援的列車在哪裡 備援的系統在哪裡那搶救為什麼要這麼久 所以我在這邊具體建議因為人民要的是安全 是穩定 是可以信賴的
transcript.whisperx[366].start 10745.419
transcript.whisperx[366].end 10773.892
transcript.whisperx[366].text 高鐵 董事長 對不對所以在這樣的情況之下 我具體正式要求高鐵必須再提出台中站完整的輸運改善方案 這第一個第二個 交通部檢討高鐵旅客的這個賠償機制 定型化契約第三個 高鐵跟鐵道局必須提出全線核心系統老化的太舊的一個經濟方案可以嗎
transcript.whisperx[367].start 10775.011
transcript.whisperx[367].end 10785.519
transcript.whisperx[367].text 可以加油謝謝好謝謝委員好謝謝楊瓊玉委員然後謝謝部長和董事長接下來我們請鍾嘉斌委員發言鍾嘉斌專輔在現在請黃建斌委員發言好
transcript.whisperx[368].start 10799.666
transcript.whisperx[368].end 10808.252
transcript.whisperx[368].text 謝謝主席 主席我們有請我們陳部長還有我們台鐵的總經理好 我們請陳部長跟馮總經理委員好
transcript.whisperx[369].start 10816.561
transcript.whisperx[369].end 10840.233
transcript.whisperx[369].text 今天我們討論的雖然是這個高鐵事件的檢討那還好台東沒有高鐵但是我們有賴以為主要的一個台鐵的事件所以這次也問到那5月24號那天因為台鐵的一個人為事故造成整個交通大打結然後我記得那天委員會八個委員會全部都delay我當時想說那如果發生在台東該怎麼辦
transcript.whisperx[370].start 10841.974
transcript.whisperx[370].end 10870.114
transcript.whisperx[370].text 不過真的你擔心什麼就來什麼隔了三天之後5月28號台東的鐵道就發生了兩件重大的人為的事故部長知道是什麼事情嗎一個是有一個軌道貨運車它溜溢的問題那另外一個是電車線的問題溜溢造成的電車線部長你覺得這個有沒有很嚴重我認為是相當嚴重相當嚴重嘛對不對所以它在同一個小時之內
transcript.whisperx[371].start 10871.557
transcript.whisperx[371].end 10896.088
transcript.whisperx[371].text 因為它應該有因果關係它是有因果關係這兩件事件是有因果關係可是我們在想你剛剛發生這個拖曳事件之後造成這個貨車脫軌撞到電線桿然後整個影響整個供電然後北上的列車因為這樣暫停暫停一個小時修復之後往上跑的時候又勾到又斷掉這一點點裡面感覺出來發生兩件事
transcript.whisperx[372].start 10899.059
transcript.whisperx[372].end 10925.597
transcript.whisperx[372].text 是這樣嘛對不對報告委員他沒有修復啦他就是說事情在繼續發生但是在同一件事情裡面同一件事情裡面他那個時候還沒有修復還沒有修復那你是對東部來講我們唯一仰賴的就是這條道路就是鐵道這條道路那對民眾的感受是說當時我們交通部也說台鐵公司的話就是為了要提升營運品質
transcript.whisperx[373].start 10926.837
transcript.whisperx[373].end 10946.278
transcript.whisperx[373].text 公司化也提升了那因為提升公司化之後你必須有營運成本所以票價要調漲票價也調漲了然後交通部也說未來整個東部的安全跟品質都會提升結果我們看到是什麼事這兩個月其實東部幹線去發生很多這樣的事件那部長你這邊有什麼要來說明的嗎好 謝謝委員
transcript.whisperx[374].start 10947.139
transcript.whisperx[374].end 10968.491
transcript.whisperx[374].text 一方面在事故方面就是說整體的這個系統的韌性的部分其實台鐵公司一直在做改革跟改變跟努力包含說邊波的改善的部分硬體建設的部分我們正在做那另外對於電力系統確實我們最近有發現很多電力系統上面的問題那我們該更新的部分其實台鐵公司也在研議看要怎麼更新
transcript.whisperx[375].start 10968.931
transcript.whisperx[375].end 10983.468
transcript.whisperx[375].text 那也跟委員報告確實我們長線來看對東部地區來講台鐵相當相當重要所以它的穩固性跟穩定性跟安全性我們特別的重視不過也要給我們一些時間我們來努力那台鐵公司的部分我看它如果以長線來看
transcript.whisperx[376].start 10985.01
transcript.whisperx[376].end 10999.026
transcript.whisperx[376].text 我們看他一整年的事故的事件跟機率的話其實這一兩年的改革看得出來是有在下降那不過跟委員報告也很抱歉確實在東部地區有蠻多這樣的事件我們會持續來改革
transcript.whisperx[377].start 10999.787
transcript.whisperx[377].end 11028.232
transcript.whisperx[377].text 其實本期當下其實我就在附近我回去選區我第一個想到的是說如果那個時間差剛好沒有抓到滑動的那輛火車的車廂剛好進入到進來接下來要北上或南下的列車的列車上造成的傷亡這個又很難去估算台東每次發生這種事都是很重大事件東部人其實我當天在台東選區是民眾非常非常的生氣他說
transcript.whisperx[378].start 11030.526
transcript.whisperx[378].end 11060.301
transcript.whisperx[378].text 台鐵一直我們一直給台鐵很多的機會然後當時要調整票價之後我們一再的反應說你在安全措施沒有做好之前這個部分對東部沒有選擇交通方式來說他是很不公平的可是票價也漲了服務還是這樣子那以後不能再發生這真的是要最後一次這個可以跟民眾保證嗎我們一定會全力來降低台鐵的人為事故跟一般的事故這個部分是我們一直要努力的
transcript.whisperx[379].start 11061.081
transcript.whisperx[379].end 11083.516
transcript.whisperx[379].text 接下來七月八月就是台東的旅遊旺季不管是放暗暑假學生返鄉也好或是在這邊旅遊的也好還有我們的熱氣球還有我們的豐年祭種種這些都是台東最重要的一個時刻這個時候千萬不能再發生這樣的事情也要讓民眾安心就是我台東要出去的人要回來的人能夠安心的坐車來台東旅遊的人才能夠
transcript.whisperx[380].start 11084.477
transcript.whisperx[380].end 11101.924
transcript.whisperx[380].text 不用擔心說會不會就這個還沒有天災我們還沒遇到颱風時就遇到這樣的狀況第二件事就跟部長問一下反正就是說我們整個南緯地區通行也要做調整就7月1號開始要做時刻調整是嗎7月1號以後我們有大概點
transcript.whisperx[381].start 11107.133
transcript.whisperx[381].end 11126.981
transcript.whisperx[381].text 那個經理這邊本想要建議就是說7月1號開始本身在南韋地區像大午啊經理這邊比較多在使用TT pass的這些站是可以多增加停靠的站點那我想這不僅可以讓整個南韋地區的這個使用增加也可以讓台鐵營收也夠增加這些好一件事那這部分台鐵這邊可以來演繹一下
transcript.whisperx[382].start 11127.981
transcript.whisperx[382].end 11145.769
transcript.whisperx[382].text 我們感謝委員在長期關心南回地區整個交通我們這邊會來做進一步研議委員提出來意見我們現在也都在做整個研議處理當中因為部長今天我們東部我們沒有我們沒有高鐵我們也沒有高速公路我們就只有一條
transcript.whisperx[383].start 11147.089
transcript.whisperx[383].end 11172.704
transcript.whisperx[383].text 鐵公路 而且是遇到天災就會斷掉的鐵公路這部分真的要拜託部長這邊跟總經理這邊能夠多多的加油也跟委員報告就六一那一部分跟委員講我們在六一尾端都有一些安全防護措施所以那個鋪石災他會出軌我們的貨車出軌不會進入陣線所以不會有發生剛才講的這個會對上安全的問題大家知道其實民眾會擔心說他們
transcript.whisperx[384].start 11174.665
transcript.whisperx[384].end 11195.418
transcript.whisperx[384].text 不好的回憶會上來阿對那第二個部分是 總經理還記得這幾年台東發生的重大的事件包括普魯瑪事件那個造成的傷亡多大我們了解我們全面都在做處理那部長也特別的叮你我們這一次針對台中花東縣這一邊的電力設備我們已經進行全面的檢查總共有8400多組的這個我們的電力設備組數現在已經檢討1400多組我們預計在8月底
transcript.whisperx[385].start 11202.603
transcript.whisperx[385].end 11229.586
transcript.whisperx[385].text 我們會全部把它檢討完成那確保剛才委員提到在這個整個東部的這個旅遊運輸能夠都能非常順暢安全我們相信其實機車運工都很辛苦啦我們機電運工都很認真在做事情那我們相信台鐵其實也很有心想要改善東部交通這一塊那我們加油不要讓他覺得說我們台鐵機要賣便宜而已我相信台鐵也要賣便宜其實也做得好這塊我們也要請
transcript.whisperx[386].start 11231.36
transcript.whisperx[386].end 11235.446
transcript.whisperx[386].text 以上單位能夠多加油謝謝委員 謝謝部長 謝謝總經理 謝謝主席好 謝謝黃金斌委員 謝謝部長 謝謝總經理接下來我們請賴世保委員發言
transcript.whisperx[387].start 11253.859
transcript.whisperx[387].end 11261.144
transcript.whisperx[387].text 謝謝主席有請交通部的陳部長以及高鐵的董事長好 請陳部長是董事長委員好我先請教陳部長因為前面有些委員有提了問題我也關心這個題目就是有關於酒駕跟獨駕的部分
transcript.whisperx[388].start 11281.696
transcript.whisperx[388].end 11308.833
transcript.whisperx[388].text 是不是我們行政部門是調整部署裡確定說如果什麼情況之下我就直接沒入他的交通工具不管是他的個人的還是借人的向委員報告確實我們朝這個方向在研擬我們希望說未來只要敢獨駕的人他使用的運具不管是摩托車或者是汽車的部分我們都朝沒入的方向前進什麼時候可以確定
transcript.whisperx[389].start 11310.975
transcript.whisperx[389].end 11331.694
transcript.whisperx[389].text 針對不管車主是不是獨駕的本身這位獨駕者我們都要默入那這個部分我們在六月底之前我們一定會把案子送到行政院那便由行政院轉送到我們的立法院由大院來這個做審議你也贊成我再請問一下你覺得酒駕比較可惡還是獨駕比較可惡
transcript.whisperx[390].start 11333.855
transcript.whisperx[390].end 11363.175
transcript.whisperx[390].text 我之前也在委員會上面宣示過獨駕跟酒駕脫鉤因為獨駕比酒駕還要嚴重很多對啊還嚴重 獨駕比較嚴重啊他已經先犯法了吸毒這件事已經本身先犯法了犯法之後你還使用運劇那其實這變成一個犯罪的工具所以現在我們很多委員在修這個法基本上獨駕的罰則應該比酒駕的高嘛是沒有錯我們已經脫鉤處理所以也會比酒駕高很多
transcript.whisperx[391].start 11363.815
transcript.whisperx[391].end 11370.686
transcript.whisperx[391].text 要高很多可以高到無期徒刑這個是刑罰的部分我們尊重法務部那邊對於刑罰罰則的部分
transcript.whisperx[392].start 11375.327
transcript.whisperx[392].end 11401.575
transcript.whisperx[392].text 我想請石董市長一起來我們看到這次的高鐵的事情高鐵已經到底是國有民營了國有民營那我看到你說針對這個事情不過你賠了幾千萬那個就賠了吧你還有檢討其實我看了一下歷史的資料過去的軌道事件高鐵幾乎是零了
transcript.whisperx[393].start 11402.475
transcript.whisperx[393].end 11424.363
transcript.whisperx[393].text 我們我們績效是非常好的啊那這次怎麼會發生這問題有人就講了有人就講了所以這個請部長也聽一下因為從2015年那個時候2015年我們把那個折舊的連線拉長了讓高鐵火起來那時候差點倒掉啊整個來說的話變國有
transcript.whisperx[394].start 11427.045
transcript.whisperx[394].end 11442.034
transcript.whisperx[394].text 民營國有民營的情況底下就慢慢就績效就差了就大家就是公家的感覺這種感覺就出來那我現在問你題目是你說你要投入2000億請問你資本額多少我是說資本額大概是這個700多億700多億你要投2000億喔錢怎麼來
transcript.whisperx[395].start 11451.916
transcript.whisperx[395].end 11470.212
transcript.whisperx[395].text 高鐵當然是一個高資本密集你兩千億要怎麼來啦怎麼來當然是透過這個資本的攝帶嘛什麼東西就是透過融資啦要借兩千億喔高鐵平時其實就有相關高額的借貸你們現在已經有負債八成了你現在負債多少錢你知道嗎
transcript.whisperx[396].start 11471.646
transcript.whisperx[396].end 11488.349
transcript.whisperx[396].text 總負債你總負債超過3000億的是沒錯對啊那你現在債2000億的負債5000億的部長聽著喔這個東西今天高鐵人家借你錢你說你三條路只有資金我不知道你有這麼多錢你只有資金多少只有資金多少你可能不知道這可能要查一下要查一下來 講一下吧跟他講一下吧只有資金多少錢
transcript.whisperx[397].start 11500.424
transcript.whisperx[397].end 11517.892
transcript.whisperx[397].text 你要不然就發公司債不然就跟聯合銀行授信不管是公司債或者是銀行授信就銀行借你錢主要就是看你右邊那一位嘛就交通部嘛因為你是交通部啊等於是交通部的國營事業嘛
transcript.whisperx[398].start 11518.772
transcript.whisperx[398].end 11532.648
transcript.whisperx[398].text 所以你就可以借你錢嘛那你這個兩千億我不知道你這兩千億貨在什麼地方啊你要這個今天報告寫一個我看了嚇一跳兩千億好大一筆勒你的資本會委員可以讓我說嗎好來我們在2010年進行採改的時候
transcript.whisperx[399].start 11537.073
transcript.whisperx[399].end 11551.505
transcript.whisperx[399].text 雖然把折舊年限從35年變70年但是同時交通部鐵道局也有新的財改模組的財務計畫而這個財改模組財務計畫當中在70年當中其實也有計算出資產重置重建的財務
transcript.whisperx[400].start 11552.606
transcript.whisperx[400].end 11573.485
transcript.whisperx[400].text 所以這兩千億並不是無中生有我今天講的只是說我們優先把電力耗資跟救車這將近要花兩千億的資產重置我們要評估討率是不是提前這不是新的事項它本來就在財務模組當中有只是面臨到這個事件我們再評估討率是不是要提前
transcript.whisperx[401].start 11574.076
transcript.whisperx[401].end 11586.265
transcript.whisperx[401].text 那什麼時候要2000億要划出去是 所以我說我在評估考慮要提前我連期程都沒有提出來但是原本的35年的折舊設計我認為是到了應該要檢討的時候
transcript.whisperx[402].start 11590.302
transcript.whisperx[402].end 11601.874
transcript.whisperx[402].text 35年 我的理念是沒有回答我的就是2000億你要投入哪一些地方啦我剛剛特別講了電力耗資跟車輛耗資車輛這個就要2000億喔這不只會2000億這三項就要2000億喔這三項應該不只2000億
transcript.whisperx[403].start 11610.24
transcript.whisperx[403].end 11636.292
transcript.whisperx[403].text 這在原本的財務計畫當中都有只是當時是在35年之後再進行資產重置我現在認為說有關於是不是35年之後再進行資產重置這件事情應該要評估檢討好 那等於是把35年提前就對了我認為每一個項目去評估檢討避免民眾覺得你這樣沒有回答我啦你具體告訴我就是說這個計畫什麼時候可以出來啦我們大概會用半年的時間來檢討這件事情
transcript.whisperx[404].start 11637.455
transcript.whisperx[404].end 11656.705
transcript.whisperx[404].text 就是今年底可以出來是吧對今年底可以出來兩千億用在什麼地方說不定不夠再加還有騎乘的問題對還有騎乘的問題另外一個東西我關心因為我時間到了我就不要拖太多時間了請部長回答一下我們到宜蘭那一段是不是高鐵宜蘭確定
transcript.whisperx[405].start 11659.311
transcript.whisperx[405].end 11676.403
transcript.whisperx[405].text 2036可以通車嗎向委員報告目前這個案子行政院還沒核定等核定之後我們才有辦法去確定他的整個通車的時間屏東呢屏東的部分也還沒有核定所以這兩個都還沒有核定這個宜蘭要花多少錢你知道嗎
transcript.whisperx[406].start 11677.899
transcript.whisperx[406].end 11699.788
transcript.whisperx[406].text 其實他還在浮動當中接近四千億四千億左右實際上他真正在開始做了之後整個價格應該會應該會再往上了所以整個交通部這個像高鐵老實講這個不管是在往南沿屏東往北沿宜蘭都是交通部要買單的
transcript.whisperx[407].start 11701.668
transcript.whisperx[407].end 11724.155
transcript.whisperx[407].text 我們針對務實延伸的計畫其實都有在進行我是最後一點提醒這個石董市長這個我看起來你的2000億沒有你是一個大概一箱你沒有具體的來講就是2000億主要主要你是要發債還是主要就是跟銀行借一個答案我就下去
transcript.whisperx[408].start 11726.838
transcript.whisperx[408].end 11735.289
transcript.whisperx[408].text 高鐵本來就有發公司債也本來就有跟銀行連帶我想會依照原本的制度來進行這個規劃好 謝謝謝謝委員 謝謝賴思邦委員 謝謝部長 謝謝董事長接下來請萬美玲委員發言
transcript.whisperx[409].start 11750.242
transcript.whisperx[409].end 11754.69
transcript.whisperx[409].text 謝謝召委 我們有請陳士凱部長還有石澤董事長來 請陳部長跟石董事長委員好
transcript.whisperx[410].start 11760.779
transcript.whisperx[410].end 11781.73
transcript.whisperx[410].text 好兩位好那我想今天召委排這個525這個史上最嚴重高鐵延誤事件的一個報告那但是呢蠻可惜的是啊到現在為止我們還不知道到底實際發生這件事情的原因是什麼那我想首先是不是我先就教一下部長那一天您也受到這個延誤卡在高鐵上嗎是當時什麼心情
transcript.whisperx[411].start 11783.361
transcript.whisperx[411].end 11808.809
transcript.whisperx[411].text 當然蠻焦急 因為是焦急自己的會議行程還是不是 當然是對於整個運據因為我在車上也感受到其他旅客大家心裡面的焦急那對交通部來講所有的旅客他的運輸都是交通部必須要負責的所以感同身受當然好 石董事長是 我想當時您在哪裡等一下 稍等一下 您想好再回答我當時您在哪裡
transcript.whisperx[412].start 11809.841
transcript.whisperx[412].end 11835.913
transcript.whisperx[412].text 我接到這個發生這個就說延誤事件發生那個當下您人在哪裡我接到這個應變中心成立的時候我人在高雄你在高雄對所以我馬上在高鐵上嗎所以我馬上就趕往公司當然會在高鐵上所以當時你也在高鐵上嗎對好那就是既然這個延誤事件在當下其實我們知道大家都在說你看我們交通部的部長也卡在高鐵上
transcript.whisperx[413].start 11836.573
transcript.whisperx[413].end 11850.747
transcript.whisperx[413].text 所以他一定能夠感同身受這個旅客交集啊無奈甚至氣憤的心情但是因為大家遲遲都沒有看到石董事長出來那今天呢我知道了今天我也才知道就是石董事長原來您也卡在高鐵上嗎是嗎
transcript.whisperx[414].start 11851.579
transcript.whisperx[414].end 11875.494
transcript.whisperx[414].text 是 但是我在高雷上事實上是用視訊的方法在跟總經理進行我理解喔那所以你應該也可以感同身受在當時喔那整個焦慮的心情跟旅客有很多無奈嘛沒有錯嘛那我想請教一下為什麼我們陳總經理也在這裡嘛那陳總經理在611號的時候投書了自由時報來說明了這個事故發生前後的應變啦決策啦那包括就是這個
transcript.whisperx[415].start 11877.975
transcript.whisperx[415].end 11893.295
transcript.whisperx[415].text 他又寫到他說這個異見事常發生之後高鐵成立應變中心董事長使者坐鎮在總公司指揮但是當時你人是在高鐵上啊我後來就進總公司了所以是後來嘛對不對我今天要講的是為什麼
transcript.whisperx[416].start 11894.096
transcript.whisperx[416].end 11922.175
transcript.whisperx[416].text 在事件發生以後啊我們這個部長或者是董事長這麼重要第一個呢你馬上就要上指揮的第一線嘛第二個呢其實民眾看到今天部長或是董事長出來那不管你怎麼樣去安撫大家也好然後去講清楚現在後面應該是怎麼做那我覺得這都是非常重要的一個指標啦所以因此我不太了解說為什麼啊就是是石董事長因為您那時候在忙沒有辦法出來跟媒體跟大眾講清楚所以事後要請我們陳總經理去投書媒體是這樣嗎
transcript.whisperx[417].start 11924.516
transcript.whisperx[417].end 11943.809
transcript.whisperx[417].text 為什麼要選擇這個方式而不是出來好好的開個記者會跟大家講清楚跟委員報告我想我們歷經各式各樣的應變過程不管是刑決院各部會還是高鐵事實上在應變的當下其實都並沒有首長或機關首長出面來直接面對媒體都是由發言體系因為應變當下應該是專注在應變的執行
transcript.whisperx[418].start 11948.132
transcript.whisperx[418].end 11965.185
transcript.whisperx[418].text 投訴媒體都是比較少見啦投訴媒體是事後的事情所以我是認為啦就是說我們希望以後都不要再有這樣的事情發生但是在這件事情上面我覺得還有非常多值得檢討的地方那我們再來看喔就是說目前初步調查是說一個叫做轉側氣控制這個機箱它的電源模組出現異常嘛
transcript.whisperx[419].start 11969.949
transcript.whisperx[419].end 11986.745
transcript.whisperx[419].text 那現在你已經找到了所謂的第三方來檢查認證這樣比較有公信力可是呢 剛才今天早上我一直聽到就是說我們不能夠確定到底這個報告什麼時候會出來但是我想民眾或者是我們所有的國人也沒有辦法無限的去等
transcript.whisperx[420].start 11987.526
transcript.whisperx[420].end 12004.902
transcript.whisperx[420].text 我們希望大家這個腳步能加快那就本席了解財團法人這個鐵道技術研究及驗證中心也是屬於我們交通部的財團法人那就這個比較直屬的這個部分是不是我們可以去催促什麼方式可以更快一點有沒有一個預計大概多久的時程會出來
transcript.whisperx[421].start 12006.605
transcript.whisperx[421].end 12024.665
transcript.whisperx[421].text 向委員報告您在指示的這件事我們會來催促那不過因為他們是專業單位我們也希望說他就專業不要讓他急著要出報告就專業去研析出真正的原因這個蠻重要的所以我們會去催促請他盡量快那不過他的時程出來了我們會馬上向委員來報告
transcript.whisperx[422].start 12025.526
transcript.whisperx[422].end 12052.23
transcript.whisperx[422].text 好那另外今天早上其實也有提到就是說這次更換這個電源模組這是高鐵公司在2024年開始執行的一個三年期的一個耗資系統更新計畫嘛那如果2024照講應該就是2026今年還會完成我看起來進度也還不錯也就是我們現在已經完成了大概有371組所以這個佔比大概83.5%的完成率那按照這個完成率本期看應該今年是可以完成
transcript.whisperx[423].start 12052.79
transcript.whisperx[423].end 12075.407
transcript.whisperx[423].text 那可見它是一個新的東西那是不是 請教一下部長跟董事長為什麼新的東西會出這麼大一個包呢跟委員報告 它是新品 不是新的設備所以事實上執行的過程也相當的順利所以這一次我們事實上把更換下來的這八個單元件事實上都已經證據保全事實上也上了封條
transcript.whisperx[424].start 12076.027
transcript.whisperx[424].end 12094.47
transcript.whisperx[424].text 目前第三方包括高科大包括田園中心包括日方我了解你的意思就是我們講的啦我們不管什麼新設備新品總是它就是一個新的東西嘛新的東西馬上出這麼大包它的問題就很大那我今天特別在委員會指出來說關於這一點真的要給大家一個交代
transcript.whisperx[425].start 12094.83
transcript.whisperx[425].end 12113.233
transcript.whisperx[425].text 一個新的計畫預算也下去了執行完畢眼看的執行率就要完成之前出這麼大的包這個非同小可我覺得這個相關的責任跟這個原因事故我就要弄清楚所以我希望在部長剛剛講說我們在這個報告出來的時候這一點要能夠非常的明白這樣好不好
transcript.whisperx[426].start 12113.994
transcript.whisperx[426].end 12139.694
transcript.whisperx[426].text 那所以因此今天我想本席終於釐清了在當時事件發生的時候呢大家都說史哲部長神隱啦可是呢看起來其實當時你只要說你發生事情你也是在趕回來的路上那也卡在高鐵上這件事就沒有了嘛就不會一直媒體都在說你神隱起來神隱起來嘛所以我覺得以後什麼事情坦坦白白坦坦蕩蕩就說我也在趕回來的路上那就不至於大家覺得說奇怪董事長去哪裡了
transcript.whisperx[427].start 12140.794
transcript.whisperx[427].end 12164.702
transcript.whisperx[427].text 我從來都沒有不坦白那媒體說你生意你也不出來講講話對不對 你到今天才說你也卡在高鐵上我從頭到尾都說明很清楚我每個時間在做什麼應變當下都是由執行單位進行應變完以後才是由首長來進行但是關心你人在哪裡啊我從頭到尾都說我在總公司事件都發生你在總公司那過程你有沒有卡在高鐵上
transcript.whisperx[428].start 12165.526
transcript.whisperx[428].end 12186.457
transcript.whisperx[428].text 我在去公司之前是卡在高鐵上可是我全日都在公司我覺得啦這些聽起來是自為莫解的小事但是你要知道在當時你是高鐵的董事長發生這麼大的事情其實你很重要所以千萬不要再有這種所謂的什麼神隱啊然後找不到人的狀況好不好我們其實應該要求說我神隱的人能夠說明我在哪裡啦好不好 謝謝我問完了嗎那你這樣離開的意思是
transcript.whisperx[429].start 12196.317
transcript.whisperx[429].end 12215.451
transcript.whisperx[429].text 算了算了 反正你也不想答詢 那你就先離開吧部長 我們繼續我想高鐵這一題 請董事長先回座休息了我們這個獨駕的部分剛剛聽到這個很高興上一次在這裡本席在質詢的時候我們有共同的看法就是說獨駕跟酒駕 兩個一樣可物至極
transcript.whisperx[430].start 12216.272
transcript.whisperx[430].end 12230.498
transcript.whisperx[430].text 但是因為獨駕本身就是犯罪行為犯罪行為再去駕車肇事最佳一等所以今天也看到部長很高興履行上次您的承諾跟看法修法的方向我們傾向於把獨駕跟酒駕脫鉤而且要把獨駕加重
transcript.whisperx[431].start 12233.979
transcript.whisperx[431].end 12244.482
transcript.whisperx[431].text 那當然也看到今天您有說好幾個加重的方式往這個方向走但我在想幾個數據今天還是必須拿出來看一下你看我們114年這個獨駕8659件那但是呢這個115年1到4月其實就高達4700多件
transcript.whisperx[432].start 12252.404
transcript.whisperx[432].end 12272.057
transcript.whisperx[432].text 最近陸陸續續獨駕造成的旱事也越來越多所以我覺得我們修法的腳步其實要快那當然交通部沒有問題跟我們所有的委員看法都一致我覺得這個修法版本提出來之後不管是您這裡提出來的版本行政院送來委員會跟我們委員提出來的版本我相信它會有一致性
transcript.whisperx[433].start 12272.657
transcript.whisperx[433].end 12288.312
transcript.whisperx[433].text 不過今天針對一個就本席看到交通部在內政委員會的報告當中也有指出來說交通部有喊請法務部要提高獨駕的相關刑罰那這個部分因為您有提醒他希望往這個方向走那法務部有沒有跟您提他的看法是怎麼樣
transcript.whisperx[434].start 12288.892
transcript.whisperx[434].end 12309.308
transcript.whisperx[434].text 鄉委員報告加重的這個方向各部會大家都有共識所以法務部也會將他的刑責的部分來加重另外對於毒品的認定像依托米子目前很像應該是三級會提升到變一級因為這個對社會的危害相當相當大所以法務部的方向也跟我們是一致的
transcript.whisperx[435].start 12309.755
transcript.whisperx[435].end 12334.452
transcript.whisperx[435].text 好那最後一個我想請教一下就是我們現在修法方向是確認說用一二級毒品即使沒有開車會直接吊銷駕照那三四級是吊扣那這個部分我們一旦確立了之後我們會溯及既往嗎我們現在只要名單有交給我們跟執法單位也好或者是跟法務部也好有拿到名單相關的名單我們就全部就會來落實
transcript.whisperx[436].start 12335.526
transcript.whisperx[436].end 12350.588
transcript.whisperx[436].text 好 我們方向既然一致也覺得獨家的可惡那我覺得這個絕對是要修重罰那但是我們的速度其實要加快因為我們要知道我們每慢一天就可能有憾事再多一件所以這個我們有共同的目標也希望部長能夠加速好不好好 我們會加速 謝謝謝謝委員
transcript.whisperx[437].start 12353.288
transcript.whisperx[437].end 12366.174
transcript.whisperx[437].text 好 謝謝萬美蓮委員的發言 謝謝部長還是要提醒一下備詢的官員在委員沒有請你回座之前 不要自行回座好 接下來請何新淳委員發言何新淳委員不在接下來請葉元芝委員發言
transcript.whisperx[438].start 12379.15
transcript.whisperx[438].end 12407.751
transcript.whisperx[438].text 主席好 我們請部長還有台鐵總經理好 請陳部長我們請方總經理委員好部長我是有一個有關台鐵的問題但是等一下細節可以請總經理回答但是請部長表達一個態度好 沒問題因為最主要現在就是我們已經進入高齡化社會了所以各縣政府都有推那個敬老卡像台北 新北在7月1號開始都把敬老卡
transcript.whisperx[439].start 12408.692
transcript.whisperx[439].end 12428.538
transcript.whisperx[439].text 提高了像我們新北市變成600點 本來是480點那這個敬老卡當初最主要的用途是鼓勵長輩出門當然一部分是敬老那出門就要搭車嘛就以我們新北來講一開始是主要是坐捷運公車後來大概在幾年前也開放給台鐵使用可是台鐵有一項措施對長輩是非常不友善
transcript.whisperx[440].start 12431.358
transcript.whisperx[440].end 12457.284
transcript.whisperx[440].text 部長聽聽看台鐵有一個措施是對長輩非常不友善在使用敬老卡的部分因為敬老卡通常它是有結合悠遊卡的功能那台鐵只有在進出的閘口有設悠遊卡功能所以他們可以刷進跟刷出可是他們不能夠到櫃台去買對號的車所以自強號的話他們即便是坐火車都要站有時候要擠
transcript.whisperx[441].start 12459.384
transcript.whisperx[441].end 12487.662
transcript.whisperx[441].text 被趕來趕去那我覺得這對長輩來說是非常不友善而且這個也會減少讓長輩使用的動機為什麼呢因為如果會坐到台鐵的話通常都是比較長程嘛那如果長程不讓他買對號的車子的話沒有座位坐的話他們乾脆就不坐台鐵我覺得也讓這個美意大打折扣那我是不曉得為什麼台鐵一直不願意在櫃台裝設可以讓讓長輩可以讓悠遊卡買對號列車我不懂因為
transcript.whisperx[442].start 12488.542
transcript.whisperx[442].end 12504.156
transcript.whisperx[442].text 據我的了解好像以前縣市政府就有反應過那這其實就是只要裝你就可以解決很多長輩搭車不便的問題那在這樣一個敬老的社會是不是先請台鐵回答一下好不好等一下再部長表達一個態度啦好不好
transcript.whisperx[443].start 12505.397
transcript.whisperx[443].end 12530.351
transcript.whisperx[443].text 委員好確實各縣市政府有部分的縣市政府也有反應是不是他們的敬老卡社福卡可以使用台鐵那目前搭乘我們的區間車都沒有問題我們結合T-pass也都可以不用講我剛剛沒有問的問題就針對問題回答好不好那我們現在委員提的問題主要是這個裁員是地方政府的裁員他們是給老人點數
transcript.whisperx[444].start 12531.812
transcript.whisperx[444].end 12553.596
transcript.whisperx[444].text 那這個點數必須要透過我們的票務系統去換算成這個錢我們還要跟地方政府來做申請款項所以剛剛委員講說不是我們裝了我們的票務系統裝了一個設備就地方的這個勁老卡就可以使用必須要得到地方政府的同意不是本來人家就等一下等一下總經理你再給我隨便亂講我剛剛已經說了嘛你們的閘門是可以的嘛
transcript.whisperx[445].start 12558.197
transcript.whisperx[445].end 12583.662
transcript.whisperx[445].text 那咱們也有跟地方政府轉換點數變現金的問題啊現在的問題是買票的時候沒有辦法刷嘛你去跟我扯別的幹嘛不好意思我問的問題我都很直接而且我也希望你針對我的問題回答不要繞圈圈如果繞圈圈就顯示心虛而且地方政府是希望台鐵可以幫忙去設那個設備嘛所以你不用什麼事都在那邊扯好不好我就討厭官員在這個國會殿堂胡說八道浪費時間你可不可以針對問題回答
transcript.whisperx[446].start 12585.862
transcript.whisperx[446].end 12612.292
transcript.whisperx[446].text 報告委員現在關鍵就是如果要增加那個設備我們在六月下旬就會請各地方政府來協調第一個所有的地方政府大家要協調要同意第二個是增加這個設備的費用必須要大家一起來分攤那個設備費用那裝置裝上去以後這我們的這個老人他才可以用他的各縣市發的這個社福卡來使用我們的票務系統
transcript.whisperx[447].start 12613.638
transcript.whisperx[447].end 12628.852
transcript.whisperx[447].text 第一個喔第一個比如說啦在板橋站你在板橋站的櫃台那邊去設一個可以去刷悠遊卡去買對號路坐車你可以就針對板橋站啊這個為什麼需要全國的各縣市通通都同意的
transcript.whisperx[448].start 12631.154
transcript.whisperx[448].end 12645.089
transcript.whisperx[448].text 關鍵在於這個裁員是地方政府編列所以地方政府編列嘛所以比如說我長輩他使用他買200塊錢的票那這200塊錢的票的車價當然你去跟地方政府算沒錯啊沒有錯嘛然後第二個
transcript.whisperx[449].start 12646.13
transcript.whisperx[449].end 12665.315
transcript.whisperx[449].text 你本來你算是提供服務嘛對不對就像有一些店家他會提供刷卡機對不對那他為什麼要提供刷卡機因為如果有刷卡機的話人家買東西會刺激人家買東西嘛因為我今天去買一件衣服一萬塊錢比如說啦那我沒有那麼多現金你有刷卡我這一萬塊我就付了啊但你沒有刷卡機不好意思我可能就不來買啦
transcript.whisperx[450].start 12666.115
transcript.whisperx[450].end 12692.906
transcript.whisperx[450].text 所以店家他為了要刺激自己的營業額他會去裝刷卡機你現在的講法很奇怪你的意思是說如果我在櫃台去設那個可以使用優惠卡的設備的話那這個錢不應該我來負擔因為地方政府一起來付這個裝置的錢不是啊你如果有這個裝置你同樣的可以讓那些長輩願意多搭台鐵也可以增加你的營收嘛我不太懂為什麼台鐵你對於做這麼簡單的事情你理由那麼多
transcript.whisperx[451].start 12693.726
transcript.whisperx[451].end 12711.294
transcript.whisperx[451].text 你對長輩好一點是會怎麼樣你民進黨政府都不希望敬老嗎你包括你們民進黨政府裡面很多立委現在在選市長都說要提高敬老卡結果你說要提高敬老卡的金額但你不願意讓人家更方便使用講那麼一大堆理由沒有一個我聽得下去的部長
transcript.whisperx[452].start 12712.148
transcript.whisperx[452].end 12731.079
transcript.whisperx[452].text 你跟那個總經理講一下好不好他講的沒有一個理由是我聽得下去的民進黨政府相當敬老齁這個部分要跟他講一套要做一套要講到要做到啦連一個在櫃台設一個裝置都不願意我這樣聽起來其實事情蠻簡單對是不是您在要求說這件事要趕快做
transcript.whisperx[453].start 12731.559
transcript.whisperx[453].end 12754.751
transcript.whisperx[453].text 那台鐵公司也有在研議也有在找地方政府在討論這件事不是沒有你怎麼知道有他剛剛他才在講六月底那麼剛好喔沒問就沒有你們剛剛已經建議好幾年了他剛剛已經有說了他有說已經在找地方政府開會大家看這個請問一下是幾月幾號開會所以需要時間幾月幾號開會我們六月底前六月底以前不要隨便信口開河你現在如果說六月底開會你有個時間嘛請問是幾月幾號
transcript.whisperx[454].start 12756.992
transcript.whisperx[454].end 12765.526
transcript.whisperx[454].text 你不要隨便講因為我現在問了就六月底今天是六月了就六月底你現在應該有具體的時間了請問是幾月幾號請問是幾月幾號你也有具體時間幾月幾號開會之前也跟各縣市都詢問過沒有
transcript.whisperx[455].start 12772.236
transcript.whisperx[455].end 12795.756
transcript.whisperx[455].text 有有沒有怎麼問我們有發函給各自不是嘛今天第一個部長部長我覺得部長部長今天其實我我認為這個事情你不會知道了部長我認為您不會知道了但是今天為什麼會在這個地方您在前面問他因為在你的高度你應該覺得這個是很容易辦到的事情那剛剛台鐵總經理講的所有的理由我覺得沒有一個成立的
transcript.whisperx[456].start 12796.076
transcript.whisperx[456].end 12812.013
transcript.whisperx[456].text 還有說那個裝你在櫃台設一個刷卡的設備還要地方政府同意喔這是多難的高科技啊這個就是你賣衣服的店家去跟銀行生一個刷卡設備這麼簡單而已還要去找地方政府開會這你要不要做的問題嘛部長
transcript.whisperx[457].start 12814.176
transcript.whisperx[457].end 12826.148
transcript.whisperx[457].text 這個你自己判斷一下只是設一個刷卡的機器而已讓大家可以刷悠遊卡扣進勞卡點數就這麼簡單喔不要搞得好像驚天地氣鬼神的多大工程一樣
transcript.whisperx[458].start 12827.601
transcript.whisperx[458].end 12848.88
transcript.whisperx[458].text 你說的公道話好不好這個我相信你之前不知道啦這件事已經在做了那您再說沒有開會我可以請他們會議的資料提供給你他剛剛講了一堆不能做的理由我都聽不下去你聽得下去嗎他剛剛講了一大堆不能做的理由你聽得下去嗎結論很簡單第一我們會做確定喔你會做好什麼時候
transcript.whisperx[459].start 12850.522
transcript.whisperx[459].end 12873.376
transcript.whisperx[459].text 我們會加速但必須要跟地方政府開會這個不用跟地方政府開會啦設一個刷卡機也要開會我們要裝VISA的刷卡機也要VISA公司同意啊大家要講好實踐啦地方政府第一個地方政府都是還發文給台鐵希望他裝人家都拜託台鐵裝了你還要問台鐵你還要問地方政府同不同意
transcript.whisperx[460].start 12874.556
transcript.whisperx[460].end 12881.922
transcript.whisperx[460].text 你們這個邏輯大家聽得懂嗎沒關係部長如果你覺得可以做的話你給個時間嘛好不好這個我們都會做啊然後大概什麼時候
transcript.whisperx[461].start 12883.067
transcript.whisperx[461].end 12906.841
transcript.whisperx[461].text 需要時間去跟大概什麼時候嘛牛年馬月還是怎麼樣我們已經講了六月底之前會六月底以前會定案是不是會開會六月底會開會然後大概這個應該不難嗎大概什麼時候可以報告委員如果我們說六月底開會我要求七月一號要開始但地方政府不同意我怎麼辦我沒有要求你我可以自己開始嗎那如果地方政府同意的話大概什麼時候可以同意就會有結論所以目前還沒開會不會有結論啊
transcript.whisperx[462].start 12908.522
transcript.whisperx[462].end 12935.713
transcript.whisperx[462].text 現在要推給地方政府那假設地方因為我知道地方政府因為我知道地方政府希望敬老給長輩其實我們大家都是希望長輩可以去坐那個台鐵這個方向我們是同意的但是呢我不知道這個東西為什麼那麼困難無法回答還要推給地方政府沒有人在推啊沒有人在做啦其實剛剛他六月底是隨便講的啦委員不然是哪幾月幾號唯一資料都可以提供給你啦六月底好幾月幾號你現在有講啊幾月幾號要開會啊
transcript.whisperx[463].start 12937.234
transcript.whisperx[463].end 12952.692
transcript.whisperx[463].text 所以我們要限市政府的時間大家要都能夠出席啊我們要約他們他們要同意啊你約他他不同意這種話你講的你自己聽得懂嗎報告委員這個預算是委員現場可能你聽不懂但其他人或許聽得懂聽得懂嗎
transcript.whisperx[464].start 12954.133
transcript.whisperx[464].end 12977.51
transcript.whisperx[464].text 你約他他要同意你現在意思是說你們台鐵想要裝但是地方政府不想裝所以你約他他可能不來但我的了解是地方都很希望台鐵裝你故意把它扭曲成說是地方政府好像找地方政府同意很困難我覺得大家解決問題不要用這種話術的方式不是每一個縣市都願意這麼做那有縣市願意你就先做啊只是裝個刷卡機而已啊
transcript.whisperx[465].start 12978.05
transcript.whisperx[465].end 13005.125
transcript.whisperx[465].text 我們要整體去討論而且你們閘門就有嘛你們現在只是說在買票的櫃檯偵測一個嘛你閘門就有嘛所以大家都是願意的嘛好啦沒關係啦你既然你承諾六月底開會我也不想吵這個東西啦那就往前走好然後另外安全的問題我請教一下再給我兩分鐘這個3月27號三家有那個那時候電車有一個發生一個事故嘛就是因為他的那個集電
transcript.whisperx[466].start 13006.533
transcript.whisperx[466].end 13020.588
transcript.whisperx[466].text 急電工有把那個電線扯斷那我是有看到好像上個禮拜你們有懲處嘛五個人嘛懲處五個人那這個急電工可能疑似是維修你們認為是可能沒有確實維修所以有去處罰了檢修員
transcript.whisperx[467].start 13022.21
transcript.whisperx[467].end 13051.37
transcript.whisperx[467].text 然後他不知道是不是螺絲沒鎖還是那個急電工救了所以導致這個狀況可是除了三家之外其實最近急電工發生故障或事故其實蠻多起的包括一兩個禮拜前在台東也有一起然後在清明年假那時候4月5號的時候在宜蘭也有一起反正就陸陸續續我們都可以在新聞看到因為急電工的問題導致於這個車子出現故障然後延誤三家那一次是最嚴重的因為延誤到大概
transcript.whisperx[468].start 13052.21
transcript.whisperx[468].end 13071.656
transcript.whisperx[468].text 延誤了非常久那我想問一下那這個是一個都是個案嗎還是說它是在維修上面SOP有問題還是其實人力有台鐵現在人力有出現斷層是哪一個包委這集電工3加3月27號集電工是因為集電工的原來設計不良造成
transcript.whisperx[469].start 13072.176
transcript.whisperx[469].end 13098.666
transcript.whisperx[469].text 那我們在四月底所有的集電工都換成一體成型的集電工那所以這個未來這個集電工900型的集電工不會再發生同樣的問題了這個我們已經解決那委員剛剛有提到說在其他的這個宜蘭或台東它那個是吊掛線電競設備的吊掛線鏽蝕造成的那集電工去勾到吊掛線所以這個部分我們也全線的在做整個特檢
transcript.whisperx[470].start 13099.406
transcript.whisperx[470].end 13120.092
transcript.whisperx[470].text 那在像台東到花蓮我們就是八月底會完全全部特檢那宜蘭縣的部分我們在這個七月的七月份我們會完成全部的特檢南回五月二十九號我們已經全部特檢完了所以我們透過這全面的特檢更換希望這個能夠有效的降低這個電力設備發生同樣問題的一個風險好謝謝好謝謝委員好謝謝葉遠之委員謝謝部長
transcript.whisperx[471].start 13129.483
transcript.whisperx[471].end 13153.462
transcript.whisperx[471].text 現在請郵號委員發言郵號郵號不在登記諮詢委員均已發言完畢我們就以下決定報告及詢問完畢委員陳素月傅坤琦郵號何新淳徐欣委員所提書面質詢列入紀錄並刊登公報委員與諮詢中要求提供相關書面資料或未經答覆的部分請交通部及相關機關緊述與書面答覆本次會議結束散會