iVOD / 16285

Field Value
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/16eb79f0bb3b77dbbae2c6269a10f1bf4be335d15c1ead01b104c5adbfed68f739c84b58bcc5e37e5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2024-11-20T09:00:00+08:00
會議名稱 立法院第11屆第2會期經濟委員會第15次全體委員會議(事由:審查114年度中央政府總預算案附屬單位預算營業部分關於經濟部主管:台灣電力股份有限公司、台灣自來水股份有限公司。(詢答))
委員名稱 完整會議
影片長度 17906
委員發言時間 08:31:34 - 13:30:00
transcript.pyannote[0].speaker SPEAKER_29
transcript.pyannote[0].start 974.88284375
transcript.pyannote[0].end 975.43971875
transcript.pyannote[1].speaker SPEAKER_21
transcript.pyannote[1].start 1709.13096875
transcript.pyannote[1].end 1709.48534375
transcript.pyannote[2].speaker SPEAKER_21
transcript.pyannote[2].start 1710.97034375
transcript.pyannote[2].end 1713.09659375
transcript.pyannote[3].speaker SPEAKER_21
transcript.pyannote[3].start 1714.36221875
transcript.pyannote[3].end 1715.17221875
transcript.pyannote[4].speaker SPEAKER_21
transcript.pyannote[4].start 1715.50971875
transcript.pyannote[4].end 1717.66971875
transcript.pyannote[5].speaker SPEAKER_21
transcript.pyannote[5].start 1718.44596875
transcript.pyannote[5].end 1722.58034375
transcript.pyannote[6].speaker SPEAKER_01
transcript.pyannote[6].start 1722.93471875
transcript.pyannote[6].end 1733.36346875
transcript.pyannote[7].speaker SPEAKER_01
transcript.pyannote[7].start 1733.70096875
transcript.pyannote[7].end 1738.03784375
transcript.pyannote[8].speaker SPEAKER_01
transcript.pyannote[8].start 1738.66221875
transcript.pyannote[8].end 1741.14284375
transcript.pyannote[9].speaker SPEAKER_01
transcript.pyannote[9].start 1741.31159375
transcript.pyannote[9].end 1751.11596875
transcript.pyannote[10].speaker SPEAKER_01
transcript.pyannote[10].start 1751.89221875
transcript.pyannote[10].end 1761.07221875
transcript.pyannote[11].speaker SPEAKER_01
transcript.pyannote[11].start 1761.54471875
transcript.pyannote[11].end 1764.54846875
transcript.pyannote[12].speaker SPEAKER_01
transcript.pyannote[12].start 1764.90284375
transcript.pyannote[12].end 1773.08721875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 1773.37409375
transcript.pyannote[13].end 1778.16659375
transcript.pyannote[14].speaker SPEAKER_01
transcript.pyannote[14].start 1778.45346875
transcript.pyannote[14].end 1783.43159375
transcript.pyannote[15].speaker SPEAKER_01
transcript.pyannote[15].start 1783.73534375
transcript.pyannote[15].end 1794.85596875
transcript.pyannote[16].speaker SPEAKER_21
transcript.pyannote[16].start 1796.96534375
transcript.pyannote[16].end 1800.34034375
transcript.pyannote[17].speaker SPEAKER_21
transcript.pyannote[17].start 1800.66096875
transcript.pyannote[17].end 1802.93909375
transcript.pyannote[18].speaker SPEAKER_01
transcript.pyannote[18].start 1803.66471875
transcript.pyannote[18].end 1815.35909375
transcript.pyannote[19].speaker SPEAKER_21
transcript.pyannote[19].start 1817.41784375
transcript.pyannote[19].end 1824.04971875
transcript.pyannote[20].speaker SPEAKER_21
transcript.pyannote[20].start 1824.43784375
transcript.pyannote[20].end 1827.54284375
transcript.pyannote[21].speaker SPEAKER_21
transcript.pyannote[21].start 1828.01534375
transcript.pyannote[21].end 1831.23846875
transcript.pyannote[22].speaker SPEAKER_21
transcript.pyannote[22].start 1831.52534375
transcript.pyannote[22].end 1832.68971875
transcript.pyannote[23].speaker SPEAKER_21
transcript.pyannote[23].start 1833.48284375
transcript.pyannote[23].end 1834.30971875
transcript.pyannote[24].speaker SPEAKER_21
transcript.pyannote[24].start 1834.51221875
transcript.pyannote[24].end 1835.38971875
transcript.pyannote[25].speaker SPEAKER_21
transcript.pyannote[25].start 1836.33471875
transcript.pyannote[25].end 1836.97596875
transcript.pyannote[26].speaker SPEAKER_21
transcript.pyannote[26].start 1837.41471875
transcript.pyannote[26].end 1837.92096875
transcript.pyannote[27].speaker SPEAKER_21
transcript.pyannote[27].start 1838.42721875
transcript.pyannote[27].end 1839.49034375
transcript.pyannote[28].speaker SPEAKER_21
transcript.pyannote[28].start 1841.44784375
transcript.pyannote[28].end 1846.66221875
transcript.pyannote[29].speaker SPEAKER_21
transcript.pyannote[29].start 1847.13471875
transcript.pyannote[29].end 1851.60659375
transcript.pyannote[30].speaker SPEAKER_21
transcript.pyannote[30].start 1852.28159375
transcript.pyannote[30].end 1853.54721875
transcript.pyannote[31].speaker SPEAKER_21
transcript.pyannote[31].start 1854.08721875
transcript.pyannote[31].end 1854.59346875
transcript.pyannote[32].speaker SPEAKER_21
transcript.pyannote[32].start 1854.76221875
transcript.pyannote[32].end 1856.60159375
transcript.pyannote[33].speaker SPEAKER_21
transcript.pyannote[33].start 1857.51284375
transcript.pyannote[33].end 1858.47471875
transcript.pyannote[34].speaker SPEAKER_21
transcript.pyannote[34].start 1858.76159375
transcript.pyannote[34].end 1859.67284375
transcript.pyannote[35].speaker SPEAKER_21
transcript.pyannote[35].start 1859.82471875
transcript.pyannote[35].end 1860.75284375
transcript.pyannote[36].speaker SPEAKER_21
transcript.pyannote[36].start 1862.37284375
transcript.pyannote[36].end 1867.28346875
transcript.pyannote[37].speaker SPEAKER_21
transcript.pyannote[37].start 1867.82346875
transcript.pyannote[37].end 1870.55721875
transcript.pyannote[38].speaker SPEAKER_21
transcript.pyannote[38].start 1871.23221875
transcript.pyannote[38].end 1873.89846875
transcript.pyannote[39].speaker SPEAKER_21
transcript.pyannote[39].start 1874.25284375
transcript.pyannote[39].end 1875.53534375
transcript.pyannote[40].speaker SPEAKER_21
transcript.pyannote[40].start 1876.53096875
transcript.pyannote[40].end 1876.85159375
transcript.pyannote[41].speaker SPEAKER_21
transcript.pyannote[41].start 1878.01596875
transcript.pyannote[41].end 1878.80909375
transcript.pyannote[42].speaker SPEAKER_21
transcript.pyannote[42].start 1881.91409375
transcript.pyannote[42].end 1885.05284375
transcript.pyannote[43].speaker SPEAKER_15
transcript.pyannote[43].start 1897.06784375
transcript.pyannote[43].end 1897.62471875
transcript.pyannote[44].speaker SPEAKER_15
transcript.pyannote[44].start 1898.11409375
transcript.pyannote[44].end 1898.77221875
transcript.pyannote[45].speaker SPEAKER_15
transcript.pyannote[45].start 1899.51471875
transcript.pyannote[45].end 1900.05471875
transcript.pyannote[46].speaker SPEAKER_15
transcript.pyannote[46].start 1900.84784375
transcript.pyannote[46].end 1903.42971875
transcript.pyannote[47].speaker SPEAKER_15
transcript.pyannote[47].start 1903.54784375
transcript.pyannote[47].end 1910.34846875
transcript.pyannote[48].speaker SPEAKER_15
transcript.pyannote[48].start 1911.19221875
transcript.pyannote[48].end 1913.16659375
transcript.pyannote[49].speaker SPEAKER_15
transcript.pyannote[49].start 1914.26346875
transcript.pyannote[49].end 1920.86159375
transcript.pyannote[50].speaker SPEAKER_15
transcript.pyannote[50].start 1921.31721875
transcript.pyannote[50].end 1924.89471875
transcript.pyannote[51].speaker SPEAKER_15
transcript.pyannote[51].start 1924.96221875
transcript.pyannote[51].end 1931.34096875
transcript.pyannote[52].speaker SPEAKER_15
transcript.pyannote[52].start 1931.77971875
transcript.pyannote[52].end 1935.23909375
transcript.pyannote[53].speaker SPEAKER_15
transcript.pyannote[53].start 1936.89284375
transcript.pyannote[53].end 1939.01909375
transcript.pyannote[54].speaker SPEAKER_15
transcript.pyannote[54].start 1939.27221875
transcript.pyannote[54].end 1941.97221875
transcript.pyannote[55].speaker SPEAKER_15
transcript.pyannote[55].start 1942.69784375
transcript.pyannote[55].end 1958.45909375
transcript.pyannote[56].speaker SPEAKER_15
transcript.pyannote[56].start 1958.94846875
transcript.pyannote[56].end 1962.71159375
transcript.pyannote[57].speaker SPEAKER_15
transcript.pyannote[57].start 1962.96471875
transcript.pyannote[57].end 1995.11159375
transcript.pyannote[58].speaker SPEAKER_15
transcript.pyannote[58].start 1995.19596875
transcript.pyannote[58].end 2004.96659375
transcript.pyannote[59].speaker SPEAKER_15
transcript.pyannote[59].start 2005.47284375
transcript.pyannote[59].end 2010.75471875
transcript.pyannote[60].speaker SPEAKER_15
transcript.pyannote[60].start 2011.00784375
transcript.pyannote[60].end 2012.08784375
transcript.pyannote[61].speaker SPEAKER_15
transcript.pyannote[61].start 2012.49284375
transcript.pyannote[61].end 2015.63159375
transcript.pyannote[62].speaker SPEAKER_15
transcript.pyannote[62].start 2016.30659375
transcript.pyannote[62].end 2020.00221875
transcript.pyannote[63].speaker SPEAKER_15
transcript.pyannote[63].start 2020.62659375
transcript.pyannote[63].end 2022.65159375
transcript.pyannote[64].speaker SPEAKER_15
transcript.pyannote[64].start 2022.82034375
transcript.pyannote[64].end 2025.63846875
transcript.pyannote[65].speaker SPEAKER_15
transcript.pyannote[65].start 2026.24596875
transcript.pyannote[65].end 2027.73096875
transcript.pyannote[66].speaker SPEAKER_15
transcript.pyannote[66].start 2028.74346875
transcript.pyannote[66].end 2038.59846875
transcript.pyannote[67].speaker SPEAKER_15
transcript.pyannote[67].start 2039.30721875
transcript.pyannote[67].end 2040.06659375
transcript.pyannote[68].speaker SPEAKER_15
transcript.pyannote[68].start 2040.79221875
transcript.pyannote[68].end 2042.56409375
transcript.pyannote[69].speaker SPEAKER_15
transcript.pyannote[69].start 2043.88034375
transcript.pyannote[69].end 2045.36534375
transcript.pyannote[70].speaker SPEAKER_15
transcript.pyannote[70].start 2045.92221875
transcript.pyannote[70].end 2047.62659375
transcript.pyannote[71].speaker SPEAKER_15
transcript.pyannote[71].start 2047.96409375
transcript.pyannote[71].end 2048.89221875
transcript.pyannote[72].speaker SPEAKER_15
transcript.pyannote[72].start 2049.11159375
transcript.pyannote[72].end 2051.79471875
transcript.pyannote[73].speaker SPEAKER_15
transcript.pyannote[73].start 2052.35159375
transcript.pyannote[73].end 2057.78534375
transcript.pyannote[74].speaker SPEAKER_15
transcript.pyannote[74].start 2058.20721875
transcript.pyannote[74].end 2059.65846875
transcript.pyannote[75].speaker SPEAKER_15
transcript.pyannote[75].start 2060.29971875
transcript.pyannote[75].end 2068.97346875
transcript.pyannote[76].speaker SPEAKER_15
transcript.pyannote[76].start 2069.69909375
transcript.pyannote[76].end 2070.54284375
transcript.pyannote[77].speaker SPEAKER_15
transcript.pyannote[77].start 2071.11659375
transcript.pyannote[77].end 2072.06159375
transcript.pyannote[78].speaker SPEAKER_15
transcript.pyannote[78].start 2072.48346875
transcript.pyannote[78].end 2073.59721875
transcript.pyannote[79].speaker SPEAKER_15
transcript.pyannote[79].start 2074.52534375
transcript.pyannote[79].end 2075.92596875
transcript.pyannote[80].speaker SPEAKER_15
transcript.pyannote[80].start 2076.29721875
transcript.pyannote[80].end 2080.66784375
transcript.pyannote[81].speaker SPEAKER_15
transcript.pyannote[81].start 2081.07284375
transcript.pyannote[81].end 2097.17159375
transcript.pyannote[82].speaker SPEAKER_15
transcript.pyannote[82].start 2097.42471875
transcript.pyannote[82].end 2105.22096875
transcript.pyannote[83].speaker SPEAKER_15
transcript.pyannote[83].start 2105.79471875
transcript.pyannote[83].end 2106.45284375
transcript.pyannote[84].speaker SPEAKER_15
transcript.pyannote[84].start 2106.90846875
transcript.pyannote[84].end 2112.62909375
transcript.pyannote[85].speaker SPEAKER_15
transcript.pyannote[85].start 2112.91596875
transcript.pyannote[85].end 2117.82659375
transcript.pyannote[86].speaker SPEAKER_15
transcript.pyannote[86].start 2118.16409375
transcript.pyannote[86].end 2119.95284375
transcript.pyannote[87].speaker SPEAKER_15
transcript.pyannote[87].start 2121.13409375
transcript.pyannote[87].end 2123.02409375
transcript.pyannote[88].speaker SPEAKER_15
transcript.pyannote[88].start 2123.47971875
transcript.pyannote[88].end 2127.15846875
transcript.pyannote[89].speaker SPEAKER_15
transcript.pyannote[89].start 2128.76159375
transcript.pyannote[89].end 2130.14534375
transcript.pyannote[90].speaker SPEAKER_15
transcript.pyannote[90].start 2130.58409375
transcript.pyannote[90].end 2136.20346875
transcript.pyannote[91].speaker SPEAKER_15
transcript.pyannote[91].start 2136.84471875
transcript.pyannote[91].end 2137.67159375
transcript.pyannote[92].speaker SPEAKER_15
transcript.pyannote[92].start 2138.09346875
transcript.pyannote[92].end 2145.58596875
transcript.pyannote[93].speaker SPEAKER_15
transcript.pyannote[93].start 2145.73784375
transcript.pyannote[93].end 2147.96534375
transcript.pyannote[94].speaker SPEAKER_15
transcript.pyannote[94].start 2148.23534375
transcript.pyannote[94].end 2151.15471875
transcript.pyannote[95].speaker SPEAKER_15
transcript.pyannote[95].start 2151.40784375
transcript.pyannote[95].end 2154.19221875
transcript.pyannote[96].speaker SPEAKER_15
transcript.pyannote[96].start 2154.66471875
transcript.pyannote[96].end 2161.26284375
transcript.pyannote[97].speaker SPEAKER_15
transcript.pyannote[97].start 2162.10659375
transcript.pyannote[97].end 2163.72659375
transcript.pyannote[98].speaker SPEAKER_15
transcript.pyannote[98].start 2164.03034375
transcript.pyannote[98].end 2164.57034375
transcript.pyannote[99].speaker SPEAKER_15
transcript.pyannote[99].start 2165.76846875
transcript.pyannote[99].end 2168.92409375
transcript.pyannote[100].speaker SPEAKER_15
transcript.pyannote[100].start 2169.39659375
transcript.pyannote[100].end 2172.11346875
transcript.pyannote[101].speaker SPEAKER_15
transcript.pyannote[101].start 2172.46784375
transcript.pyannote[101].end 2178.22221875
transcript.pyannote[102].speaker SPEAKER_15
transcript.pyannote[102].start 2178.62721875
transcript.pyannote[102].end 2179.75784375
transcript.pyannote[103].speaker SPEAKER_15
transcript.pyannote[103].start 2180.14596875
transcript.pyannote[103].end 2181.61409375
transcript.pyannote[104].speaker SPEAKER_15
transcript.pyannote[104].start 2182.13721875
transcript.pyannote[104].end 2183.74034375
transcript.pyannote[105].speaker SPEAKER_15
transcript.pyannote[105].start 2184.28034375
transcript.pyannote[105].end 2186.47409375
transcript.pyannote[106].speaker SPEAKER_15
transcript.pyannote[106].start 2187.25034375
transcript.pyannote[106].end 2188.34721875
transcript.pyannote[107].speaker SPEAKER_15
transcript.pyannote[107].start 2188.53284375
transcript.pyannote[107].end 2190.74346875
transcript.pyannote[108].speaker SPEAKER_15
transcript.pyannote[108].start 2191.08096875
transcript.pyannote[108].end 2195.60346875
transcript.pyannote[109].speaker SPEAKER_15
transcript.pyannote[109].start 2195.97471875
transcript.pyannote[109].end 2201.72909375
transcript.pyannote[110].speaker SPEAKER_15
transcript.pyannote[110].start 2202.20159375
transcript.pyannote[110].end 2205.10409375
transcript.pyannote[111].speaker SPEAKER_15
transcript.pyannote[111].start 2205.84659375
transcript.pyannote[111].end 2215.81971875
transcript.pyannote[112].speaker SPEAKER_15
transcript.pyannote[112].start 2216.10659375
transcript.pyannote[112].end 2220.03846875
transcript.pyannote[113].speaker SPEAKER_15
transcript.pyannote[113].start 2220.96659375
transcript.pyannote[113].end 2222.68784375
transcript.pyannote[114].speaker SPEAKER_15
transcript.pyannote[114].start 2222.95784375
transcript.pyannote[114].end 2224.34159375
transcript.pyannote[115].speaker SPEAKER_15
transcript.pyannote[115].start 2224.86471875
transcript.pyannote[115].end 2227.00784375
transcript.pyannote[116].speaker SPEAKER_15
transcript.pyannote[116].start 2227.96971875
transcript.pyannote[116].end 2231.44596875
transcript.pyannote[117].speaker SPEAKER_15
transcript.pyannote[117].start 2232.61034375
transcript.pyannote[117].end 2234.75346875
transcript.pyannote[118].speaker SPEAKER_15
transcript.pyannote[118].start 2234.93909375
transcript.pyannote[118].end 2240.60909375
transcript.pyannote[119].speaker SPEAKER_15
transcript.pyannote[119].start 2241.16596875
transcript.pyannote[119].end 2244.91221875
transcript.pyannote[120].speaker SPEAKER_15
transcript.pyannote[120].start 2247.07221875
transcript.pyannote[120].end 2249.78909375
transcript.pyannote[121].speaker SPEAKER_15
transcript.pyannote[121].start 2250.53159375
transcript.pyannote[121].end 2263.39034375
transcript.pyannote[122].speaker SPEAKER_15
transcript.pyannote[122].start 2264.13284375
transcript.pyannote[122].end 2266.32659375
transcript.pyannote[123].speaker SPEAKER_15
transcript.pyannote[123].start 2267.06909375
transcript.pyannote[123].end 2270.22471875
transcript.pyannote[124].speaker SPEAKER_15
transcript.pyannote[124].start 2270.52846875
transcript.pyannote[124].end 2281.39596875
transcript.pyannote[125].speaker SPEAKER_15
transcript.pyannote[125].start 2282.05409375
transcript.pyannote[125].end 2295.03096875
transcript.pyannote[126].speaker SPEAKER_15
transcript.pyannote[126].start 2295.26721875
transcript.pyannote[126].end 2302.05096875
transcript.pyannote[127].speaker SPEAKER_15
transcript.pyannote[127].start 2302.70909375
transcript.pyannote[127].end 2303.23221875
transcript.pyannote[128].speaker SPEAKER_15
transcript.pyannote[128].start 2304.86909375
transcript.pyannote[128].end 2305.96596875
transcript.pyannote[129].speaker SPEAKER_15
transcript.pyannote[129].start 2306.60721875
transcript.pyannote[129].end 2307.11346875
transcript.pyannote[130].speaker SPEAKER_15
transcript.pyannote[130].start 2307.50159375
transcript.pyannote[130].end 2322.09846875
transcript.pyannote[131].speaker SPEAKER_15
transcript.pyannote[131].start 2322.95909375
transcript.pyannote[131].end 2325.27096875
transcript.pyannote[132].speaker SPEAKER_15
transcript.pyannote[132].start 2327.07659375
transcript.pyannote[132].end 2330.31659375
transcript.pyannote[133].speaker SPEAKER_15
transcript.pyannote[133].start 2330.90721875
transcript.pyannote[133].end 2331.44721875
transcript.pyannote[134].speaker SPEAKER_15
transcript.pyannote[134].start 2331.83534375
transcript.pyannote[134].end 2335.42971875
transcript.pyannote[135].speaker SPEAKER_15
transcript.pyannote[135].start 2336.18909375
transcript.pyannote[135].end 2341.90971875
transcript.pyannote[136].speaker SPEAKER_15
transcript.pyannote[136].start 2342.19659375
transcript.pyannote[136].end 2344.98096875
transcript.pyannote[137].speaker SPEAKER_15
transcript.pyannote[137].start 2345.20034375
transcript.pyannote[137].end 2358.93659375
transcript.pyannote[138].speaker SPEAKER_15
transcript.pyannote[138].start 2359.81409375
transcript.pyannote[138].end 2361.87284375
transcript.pyannote[139].speaker SPEAKER_15
transcript.pyannote[139].start 2362.14284375
transcript.pyannote[139].end 2375.59221875
transcript.pyannote[140].speaker SPEAKER_15
transcript.pyannote[140].start 2376.08159375
transcript.pyannote[140].end 2376.33471875
transcript.pyannote[141].speaker SPEAKER_15
transcript.pyannote[141].start 2376.70596875
transcript.pyannote[141].end 2378.35971875
transcript.pyannote[142].speaker SPEAKER_15
transcript.pyannote[142].start 2379.52409375
transcript.pyannote[142].end 2384.21534375
transcript.pyannote[143].speaker SPEAKER_15
transcript.pyannote[143].start 2384.97471875
transcript.pyannote[143].end 2387.10096875
transcript.pyannote[144].speaker SPEAKER_15
transcript.pyannote[144].start 2387.75909375
transcript.pyannote[144].end 2389.63221875
transcript.pyannote[145].speaker SPEAKER_15
transcript.pyannote[145].start 2390.13846875
transcript.pyannote[145].end 2393.26034375
transcript.pyannote[146].speaker SPEAKER_15
transcript.pyannote[146].start 2393.80034375
transcript.pyannote[146].end 2395.08284375
transcript.pyannote[147].speaker SPEAKER_15
transcript.pyannote[147].start 2395.74096875
transcript.pyannote[147].end 2400.33096875
transcript.pyannote[148].speaker SPEAKER_15
transcript.pyannote[148].start 2400.63471875
transcript.pyannote[148].end 2407.48596875
transcript.pyannote[149].speaker SPEAKER_15
transcript.pyannote[149].start 2408.34659375
transcript.pyannote[149].end 2412.70034375
transcript.pyannote[150].speaker SPEAKER_15
transcript.pyannote[150].start 2413.10534375
transcript.pyannote[150].end 2415.63659375
transcript.pyannote[151].speaker SPEAKER_15
transcript.pyannote[151].start 2416.17659375
transcript.pyannote[151].end 2420.85096875
transcript.pyannote[152].speaker SPEAKER_15
transcript.pyannote[152].start 2421.25596875
transcript.pyannote[152].end 2426.09909375
transcript.pyannote[153].speaker SPEAKER_15
transcript.pyannote[153].start 2426.36909375
transcript.pyannote[153].end 2431.09409375
transcript.pyannote[154].speaker SPEAKER_15
transcript.pyannote[154].start 2431.19534375
transcript.pyannote[154].end 2433.47346875
transcript.pyannote[155].speaker SPEAKER_15
transcript.pyannote[155].start 2435.04284375
transcript.pyannote[155].end 2439.09284375
transcript.pyannote[156].speaker SPEAKER_15
transcript.pyannote[156].start 2439.51471875
transcript.pyannote[156].end 2444.72909375
transcript.pyannote[157].speaker SPEAKER_15
transcript.pyannote[157].start 2444.96534375
transcript.pyannote[157].end 2452.40721875
transcript.pyannote[158].speaker SPEAKER_15
transcript.pyannote[158].start 2453.40284375
transcript.pyannote[158].end 2454.04409375
transcript.pyannote[159].speaker SPEAKER_15
transcript.pyannote[159].start 2454.66846875
transcript.pyannote[159].end 2462.92034375
transcript.pyannote[160].speaker SPEAKER_15
transcript.pyannote[160].start 2463.52784375
transcript.pyannote[160].end 2477.31471875
transcript.pyannote[161].speaker SPEAKER_15
transcript.pyannote[161].start 2477.51721875
transcript.pyannote[161].end 2482.84971875
transcript.pyannote[162].speaker SPEAKER_15
transcript.pyannote[162].start 2483.62596875
transcript.pyannote[162].end 2487.38909375
transcript.pyannote[163].speaker SPEAKER_15
transcript.pyannote[163].start 2487.87846875
transcript.pyannote[163].end 2500.29846875
transcript.pyannote[164].speaker SPEAKER_15
transcript.pyannote[164].start 2501.32784375
transcript.pyannote[164].end 2510.03534375
transcript.pyannote[165].speaker SPEAKER_15
transcript.pyannote[165].start 2510.47409375
transcript.pyannote[165].end 2515.14846875
transcript.pyannote[166].speaker SPEAKER_15
transcript.pyannote[166].start 2515.80659375
transcript.pyannote[166].end 2516.88659375
transcript.pyannote[167].speaker SPEAKER_15
transcript.pyannote[167].start 2517.19034375
transcript.pyannote[167].end 2519.23221875
transcript.pyannote[168].speaker SPEAKER_21
transcript.pyannote[168].start 2519.23221875
transcript.pyannote[168].end 2519.24909375
transcript.pyannote[169].speaker SPEAKER_21
transcript.pyannote[169].start 2523.90659375
transcript.pyannote[169].end 2526.28596875
transcript.pyannote[170].speaker SPEAKER_21
transcript.pyannote[170].start 2527.50096875
transcript.pyannote[170].end 2528.07471875
transcript.pyannote[171].speaker SPEAKER_21
transcript.pyannote[171].start 2528.54721875
transcript.pyannote[171].end 2532.79971875
transcript.pyannote[172].speaker SPEAKER_27
transcript.pyannote[172].start 2541.92909375
transcript.pyannote[172].end 2543.81909375
transcript.pyannote[173].speaker SPEAKER_27
transcript.pyannote[173].start 2544.20721875
transcript.pyannote[173].end 2547.56534375
transcript.pyannote[174].speaker SPEAKER_27
transcript.pyannote[174].start 2547.63284375
transcript.pyannote[174].end 2553.20159375
transcript.pyannote[175].speaker SPEAKER_27
transcript.pyannote[175].start 2553.70784375
transcript.pyannote[175].end 2554.55159375
transcript.pyannote[176].speaker SPEAKER_27
transcript.pyannote[176].start 2554.93971875
transcript.pyannote[176].end 2559.58034375
transcript.pyannote[177].speaker SPEAKER_27
transcript.pyannote[177].start 2560.35659375
transcript.pyannote[177].end 2564.69346875
transcript.pyannote[178].speaker SPEAKER_27
transcript.pyannote[178].start 2565.11534375
transcript.pyannote[178].end 2566.93784375
transcript.pyannote[179].speaker SPEAKER_27
transcript.pyannote[179].start 2567.59596875
transcript.pyannote[179].end 2570.71784375
transcript.pyannote[180].speaker SPEAKER_27
transcript.pyannote[180].start 2571.19034375
transcript.pyannote[180].end 2573.90721875
transcript.pyannote[181].speaker SPEAKER_27
transcript.pyannote[181].start 2574.19409375
transcript.pyannote[181].end 2576.69159375
transcript.pyannote[182].speaker SPEAKER_27
transcript.pyannote[182].start 2577.09659375
transcript.pyannote[182].end 2581.34909375
transcript.pyannote[183].speaker SPEAKER_27
transcript.pyannote[183].start 2581.92284375
transcript.pyannote[183].end 2582.53034375
transcript.pyannote[184].speaker SPEAKER_27
transcript.pyannote[184].start 2582.80034375
transcript.pyannote[184].end 2586.56346875
transcript.pyannote[185].speaker SPEAKER_27
transcript.pyannote[185].start 2586.81659375
transcript.pyannote[185].end 2589.01034375
transcript.pyannote[186].speaker SPEAKER_27
transcript.pyannote[186].start 2589.02721875
transcript.pyannote[186].end 2591.27159375
transcript.pyannote[187].speaker SPEAKER_27
transcript.pyannote[187].start 2591.33909375
transcript.pyannote[187].end 2595.70971875
transcript.pyannote[188].speaker SPEAKER_27
transcript.pyannote[188].start 2596.36784375
transcript.pyannote[188].end 2606.89784375
transcript.pyannote[189].speaker SPEAKER_27
transcript.pyannote[189].start 2607.13409375
transcript.pyannote[189].end 2618.17034375
transcript.pyannote[190].speaker SPEAKER_27
transcript.pyannote[190].start 2618.47409375
transcript.pyannote[190].end 2622.72659375
transcript.pyannote[191].speaker SPEAKER_27
transcript.pyannote[191].start 2623.14846875
transcript.pyannote[191].end 2628.00846875
transcript.pyannote[192].speaker SPEAKER_27
transcript.pyannote[192].start 2628.56534375
transcript.pyannote[192].end 2634.23534375
transcript.pyannote[193].speaker SPEAKER_27
transcript.pyannote[193].start 2634.79221875
transcript.pyannote[193].end 2636.78346875
transcript.pyannote[194].speaker SPEAKER_27
transcript.pyannote[194].start 2637.10409375
transcript.pyannote[194].end 2640.71534375
transcript.pyannote[195].speaker SPEAKER_27
transcript.pyannote[195].start 2641.32284375
transcript.pyannote[195].end 2646.16596875
transcript.pyannote[196].speaker SPEAKER_27
transcript.pyannote[196].start 2646.77346875
transcript.pyannote[196].end 2650.95846875
transcript.pyannote[197].speaker SPEAKER_27
transcript.pyannote[197].start 2651.16096875
transcript.pyannote[197].end 2655.00846875
transcript.pyannote[198].speaker SPEAKER_27
transcript.pyannote[198].start 2655.51471875
transcript.pyannote[198].end 2658.46784375
transcript.pyannote[199].speaker SPEAKER_27
transcript.pyannote[199].start 2658.92346875
transcript.pyannote[199].end 2665.89284375
transcript.pyannote[200].speaker SPEAKER_27
transcript.pyannote[200].start 2666.11221875
transcript.pyannote[200].end 2670.43221875
transcript.pyannote[201].speaker SPEAKER_27
transcript.pyannote[201].start 2670.97221875
transcript.pyannote[201].end 2676.22034375
transcript.pyannote[202].speaker SPEAKER_27
transcript.pyannote[202].start 2676.81096875
transcript.pyannote[202].end 2679.05534375
transcript.pyannote[203].speaker SPEAKER_27
transcript.pyannote[203].start 2679.37596875
transcript.pyannote[203].end 2682.36284375
transcript.pyannote[204].speaker SPEAKER_27
transcript.pyannote[204].start 2682.64971875
transcript.pyannote[204].end 2687.42534375
transcript.pyannote[205].speaker SPEAKER_27
transcript.pyannote[205].start 2687.66159375
transcript.pyannote[205].end 2697.88784375
transcript.pyannote[206].speaker SPEAKER_27
transcript.pyannote[206].start 2698.07346875
transcript.pyannote[206].end 2700.46971875
transcript.pyannote[207].speaker SPEAKER_27
transcript.pyannote[207].start 2700.99284375
transcript.pyannote[207].end 2705.19471875
transcript.pyannote[208].speaker SPEAKER_27
transcript.pyannote[208].start 2705.61659375
transcript.pyannote[208].end 2710.18971875
transcript.pyannote[209].speaker SPEAKER_27
transcript.pyannote[209].start 2710.62846875
transcript.pyannote[209].end 2715.57284375
transcript.pyannote[210].speaker SPEAKER_27
transcript.pyannote[210].start 2715.97784375
transcript.pyannote[210].end 2718.05346875
transcript.pyannote[211].speaker SPEAKER_27
transcript.pyannote[211].start 2718.27284375
transcript.pyannote[211].end 2720.14596875
transcript.pyannote[212].speaker SPEAKER_27
transcript.pyannote[212].start 2720.50034375
transcript.pyannote[212].end 2726.13659375
transcript.pyannote[213].speaker SPEAKER_27
transcript.pyannote[213].start 2726.57534375
transcript.pyannote[213].end 2728.24596875
transcript.pyannote[214].speaker SPEAKER_27
transcript.pyannote[214].start 2728.51596875
transcript.pyannote[214].end 2731.19909375
transcript.pyannote[215].speaker SPEAKER_27
transcript.pyannote[215].start 2731.36784375
transcript.pyannote[215].end 2734.45596875
transcript.pyannote[216].speaker SPEAKER_27
transcript.pyannote[216].start 2734.74284375
transcript.pyannote[216].end 2735.82284375
transcript.pyannote[217].speaker SPEAKER_27
transcript.pyannote[217].start 2735.97471875
transcript.pyannote[217].end 2738.55659375
transcript.pyannote[218].speaker SPEAKER_27
transcript.pyannote[218].start 2738.72534375
transcript.pyannote[218].end 2750.04846875
transcript.pyannote[219].speaker SPEAKER_27
transcript.pyannote[219].start 2750.28471875
transcript.pyannote[219].end 2768.08784375
transcript.pyannote[220].speaker SPEAKER_27
transcript.pyannote[220].start 2768.29034375
transcript.pyannote[220].end 2769.53909375
transcript.pyannote[221].speaker SPEAKER_27
transcript.pyannote[221].start 2769.91034375
transcript.pyannote[221].end 2771.71596875
transcript.pyannote[222].speaker SPEAKER_27
transcript.pyannote[222].start 2772.05346875
transcript.pyannote[222].end 2774.58471875
transcript.pyannote[223].speaker SPEAKER_27
transcript.pyannote[223].start 2774.90534375
transcript.pyannote[223].end 2779.71471875
transcript.pyannote[224].speaker SPEAKER_27
transcript.pyannote[224].start 2780.17034375
transcript.pyannote[224].end 2784.18659375
transcript.pyannote[225].speaker SPEAKER_27
transcript.pyannote[225].start 2784.38909375
transcript.pyannote[225].end 2785.03034375
transcript.pyannote[226].speaker SPEAKER_27
transcript.pyannote[226].start 2785.16534375
transcript.pyannote[226].end 2789.85659375
transcript.pyannote[227].speaker SPEAKER_27
transcript.pyannote[227].start 2790.37971875
transcript.pyannote[227].end 2793.51846875
transcript.pyannote[228].speaker SPEAKER_27
transcript.pyannote[228].start 2793.88971875
transcript.pyannote[228].end 2797.29846875
transcript.pyannote[229].speaker SPEAKER_27
transcript.pyannote[229].start 2797.70346875
transcript.pyannote[229].end 2802.95159375
transcript.pyannote[230].speaker SPEAKER_27
transcript.pyannote[230].start 2803.00221875
transcript.pyannote[230].end 2823.53909375
transcript.pyannote[231].speaker SPEAKER_27
transcript.pyannote[231].start 2823.92721875
transcript.pyannote[231].end 2825.93534375
transcript.pyannote[232].speaker SPEAKER_27
transcript.pyannote[232].start 2826.10409375
transcript.pyannote[232].end 2827.55534375
transcript.pyannote[233].speaker SPEAKER_27
transcript.pyannote[233].start 2827.60596875
transcript.pyannote[233].end 2831.80784375
transcript.pyannote[234].speaker SPEAKER_27
transcript.pyannote[234].start 2831.97659375
transcript.pyannote[234].end 2837.46096875
transcript.pyannote[235].speaker SPEAKER_27
transcript.pyannote[235].start 2837.57909375
transcript.pyannote[235].end 2842.28721875
transcript.pyannote[236].speaker SPEAKER_27
transcript.pyannote[236].start 2842.59096875
transcript.pyannote[236].end 2845.66221875
transcript.pyannote[237].speaker SPEAKER_27
transcript.pyannote[237].start 2845.94909375
transcript.pyannote[237].end 2847.55221875
transcript.pyannote[238].speaker SPEAKER_27
transcript.pyannote[238].start 2847.58596875
transcript.pyannote[238].end 2857.55909375
transcript.pyannote[239].speaker SPEAKER_27
transcript.pyannote[239].start 2857.96409375
transcript.pyannote[239].end 2859.76971875
transcript.pyannote[240].speaker SPEAKER_27
transcript.pyannote[240].start 2859.95534375
transcript.pyannote[240].end 2869.87784375
transcript.pyannote[241].speaker SPEAKER_27
transcript.pyannote[241].start 2869.99596875
transcript.pyannote[241].end 2873.13471875
transcript.pyannote[242].speaker SPEAKER_27
transcript.pyannote[242].start 2874.48471875
transcript.pyannote[242].end 2879.54721875
transcript.pyannote[243].speaker SPEAKER_27
transcript.pyannote[243].start 2879.85096875
transcript.pyannote[243].end 2885.01471875
transcript.pyannote[244].speaker SPEAKER_27
transcript.pyannote[244].start 2885.40284375
transcript.pyannote[244].end 2889.58784375
transcript.pyannote[245].speaker SPEAKER_27
transcript.pyannote[245].start 2889.94221875
transcript.pyannote[245].end 2896.81034375
transcript.pyannote[246].speaker SPEAKER_27
transcript.pyannote[246].start 2896.99596875
transcript.pyannote[246].end 2903.62784375
transcript.pyannote[247].speaker SPEAKER_27
transcript.pyannote[247].start 2903.93159375
transcript.pyannote[247].end 2906.53034375
transcript.pyannote[248].speaker SPEAKER_27
transcript.pyannote[248].start 2906.76659375
transcript.pyannote[248].end 2917.75221875
transcript.pyannote[249].speaker SPEAKER_27
transcript.pyannote[249].start 2918.19096875
transcript.pyannote[249].end 2930.74596875
transcript.pyannote[250].speaker SPEAKER_27
transcript.pyannote[250].start 2931.03284375
transcript.pyannote[250].end 2933.36159375
transcript.pyannote[251].speaker SPEAKER_27
transcript.pyannote[251].start 2933.47971875
transcript.pyannote[251].end 2934.94784375
transcript.pyannote[252].speaker SPEAKER_27
transcript.pyannote[252].start 2935.28534375
transcript.pyannote[252].end 2938.82909375
transcript.pyannote[253].speaker SPEAKER_27
transcript.pyannote[253].start 2939.14971875
transcript.pyannote[253].end 2946.03471875
transcript.pyannote[254].speaker SPEAKER_27
transcript.pyannote[254].start 2946.22034375
transcript.pyannote[254].end 2948.02596875
transcript.pyannote[255].speaker SPEAKER_27
transcript.pyannote[255].start 2948.27909375
transcript.pyannote[255].end 2950.28721875
transcript.pyannote[256].speaker SPEAKER_27
transcript.pyannote[256].start 2950.65846875
transcript.pyannote[256].end 2952.26159375
transcript.pyannote[257].speaker SPEAKER_27
transcript.pyannote[257].start 2953.03784375
transcript.pyannote[257].end 2953.61159375
transcript.pyannote[258].speaker SPEAKER_27
transcript.pyannote[258].start 2953.93221875
transcript.pyannote[258].end 2955.16409375
transcript.pyannote[259].speaker SPEAKER_27
transcript.pyannote[259].start 2955.60284375
transcript.pyannote[259].end 2957.79659375
transcript.pyannote[260].speaker SPEAKER_27
transcript.pyannote[260].start 2958.20159375
transcript.pyannote[260].end 2961.81284375
transcript.pyannote[261].speaker SPEAKER_27
transcript.pyannote[261].start 2962.11659375
transcript.pyannote[261].end 2964.74909375
transcript.pyannote[262].speaker SPEAKER_27
transcript.pyannote[262].start 2964.86721875
transcript.pyannote[262].end 2968.69784375
transcript.pyannote[263].speaker SPEAKER_27
transcript.pyannote[263].start 2969.42346875
transcript.pyannote[263].end 2970.38534375
transcript.pyannote[264].speaker SPEAKER_27
transcript.pyannote[264].start 2970.70596875
transcript.pyannote[264].end 2975.48159375
transcript.pyannote[265].speaker SPEAKER_27
transcript.pyannote[265].start 2975.61659375
transcript.pyannote[265].end 2977.05096875
transcript.pyannote[266].speaker SPEAKER_27
transcript.pyannote[266].start 2977.59096875
transcript.pyannote[266].end 2979.41346875
transcript.pyannote[267].speaker SPEAKER_27
transcript.pyannote[267].start 2980.00409375
transcript.pyannote[267].end 2980.44284375
transcript.pyannote[268].speaker SPEAKER_27
transcript.pyannote[268].start 2980.93221875
transcript.pyannote[268].end 2985.35346875
transcript.pyannote[269].speaker SPEAKER_27
transcript.pyannote[269].start 2985.70784375
transcript.pyannote[269].end 2986.28159375
transcript.pyannote[270].speaker SPEAKER_27
transcript.pyannote[270].start 2987.41221875
transcript.pyannote[270].end 2989.06596875
transcript.pyannote[271].speaker SPEAKER_27
transcript.pyannote[271].start 2989.16721875
transcript.pyannote[271].end 2998.92096875
transcript.pyannote[272].speaker SPEAKER_27
transcript.pyannote[272].start 2999.02221875
transcript.pyannote[272].end 2999.03909375
transcript.pyannote[273].speaker SPEAKER_27
transcript.pyannote[273].start 2999.08971875
transcript.pyannote[273].end 3002.00909375
transcript.pyannote[274].speaker SPEAKER_27
transcript.pyannote[274].start 3002.14409375
transcript.pyannote[274].end 3003.12284375
transcript.pyannote[275].speaker SPEAKER_21
transcript.pyannote[275].start 3005.40096875
transcript.pyannote[275].end 3006.31221875
transcript.pyannote[276].speaker SPEAKER_21
transcript.pyannote[276].start 3006.53159375
transcript.pyannote[276].end 3009.87284375
transcript.pyannote[277].speaker SPEAKER_21
transcript.pyannote[277].start 3010.58159375
transcript.pyannote[277].end 3011.57721875
transcript.pyannote[278].speaker SPEAKER_21
transcript.pyannote[278].start 3012.28596875
transcript.pyannote[278].end 3017.01096875
transcript.pyannote[279].speaker SPEAKER_22
transcript.pyannote[279].start 3024.40221875
transcript.pyannote[279].end 3026.05596875
transcript.pyannote[280].speaker SPEAKER_22
transcript.pyannote[280].start 3026.29221875
transcript.pyannote[280].end 3052.39784375
transcript.pyannote[281].speaker SPEAKER_22
transcript.pyannote[281].start 3052.80284375
transcript.pyannote[281].end 3056.66721875
transcript.pyannote[282].speaker SPEAKER_22
transcript.pyannote[282].start 3056.92034375
transcript.pyannote[282].end 3069.20534375
transcript.pyannote[283].speaker SPEAKER_22
transcript.pyannote[283].start 3069.25596875
transcript.pyannote[283].end 3102.31409375
transcript.pyannote[284].speaker SPEAKER_22
transcript.pyannote[284].start 3103.32659375
transcript.pyannote[284].end 3127.20471875
transcript.pyannote[285].speaker SPEAKER_22
transcript.pyannote[285].start 3127.54221875
transcript.pyannote[285].end 3140.40096875
transcript.pyannote[286].speaker SPEAKER_22
transcript.pyannote[286].start 3141.90284375
transcript.pyannote[286].end 3155.47034375
transcript.pyannote[287].speaker SPEAKER_22
transcript.pyannote[287].start 3155.85846875
transcript.pyannote[287].end 3175.06221875
transcript.pyannote[288].speaker SPEAKER_22
transcript.pyannote[288].start 3176.46284375
transcript.pyannote[288].end 3219.00471875
transcript.pyannote[289].speaker SPEAKER_22
transcript.pyannote[289].start 3219.49409375
transcript.pyannote[289].end 3226.00784375
transcript.pyannote[290].speaker SPEAKER_22
transcript.pyannote[290].start 3226.49721875
transcript.pyannote[290].end 3264.55034375
transcript.pyannote[291].speaker SPEAKER_21
transcript.pyannote[291].start 3267.43596875
transcript.pyannote[291].end 3268.36409375
transcript.pyannote[292].speaker SPEAKER_21
transcript.pyannote[292].start 3268.44846875
transcript.pyannote[292].end 3273.19034375
transcript.pyannote[293].speaker SPEAKER_21
transcript.pyannote[293].start 3273.62909375
transcript.pyannote[293].end 3274.03409375
transcript.pyannote[294].speaker SPEAKER_21
transcript.pyannote[294].start 3274.86096875
transcript.pyannote[294].end 3280.49721875
transcript.pyannote[295].speaker SPEAKER_35
transcript.pyannote[295].start 3288.14159375
transcript.pyannote[295].end 3292.78221875
transcript.pyannote[296].speaker SPEAKER_35
transcript.pyannote[296].start 3293.08596875
transcript.pyannote[296].end 3299.22846875
transcript.pyannote[297].speaker SPEAKER_35
transcript.pyannote[297].start 3299.68409375
transcript.pyannote[297].end 3309.92721875
transcript.pyannote[298].speaker SPEAKER_35
transcript.pyannote[298].start 3310.43346875
transcript.pyannote[298].end 3313.90971875
transcript.pyannote[299].speaker SPEAKER_35
transcript.pyannote[299].start 3314.39909375
transcript.pyannote[299].end 3315.27659375
transcript.pyannote[300].speaker SPEAKER_35
transcript.pyannote[300].start 3315.76596875
transcript.pyannote[300].end 3318.36471875
transcript.pyannote[301].speaker SPEAKER_35
transcript.pyannote[301].start 3318.65159375
transcript.pyannote[301].end 3331.03784375
transcript.pyannote[302].speaker SPEAKER_35
transcript.pyannote[302].start 3331.12221875
transcript.pyannote[302].end 3333.16409375
transcript.pyannote[303].speaker SPEAKER_35
transcript.pyannote[303].start 3333.56909375
transcript.pyannote[303].end 3336.04971875
transcript.pyannote[304].speaker SPEAKER_35
transcript.pyannote[304].start 3336.60659375
transcript.pyannote[304].end 3337.38284375
transcript.pyannote[305].speaker SPEAKER_35
transcript.pyannote[305].start 3337.88909375
transcript.pyannote[305].end 3339.22221875
transcript.pyannote[306].speaker SPEAKER_35
transcript.pyannote[306].start 3339.28971875
transcript.pyannote[306].end 3342.36096875
transcript.pyannote[307].speaker SPEAKER_35
transcript.pyannote[307].start 3342.74909375
transcript.pyannote[307].end 3346.29284375
transcript.pyannote[308].speaker SPEAKER_35
transcript.pyannote[308].start 3346.54596875
transcript.pyannote[308].end 3352.43534375
transcript.pyannote[309].speaker SPEAKER_35
transcript.pyannote[309].start 3352.70534375
transcript.pyannote[309].end 3354.29159375
transcript.pyannote[310].speaker SPEAKER_35
transcript.pyannote[310].start 3354.37596875
transcript.pyannote[310].end 3357.48096875
transcript.pyannote[311].speaker SPEAKER_35
transcript.pyannote[311].start 3357.63284375
transcript.pyannote[311].end 3359.28659375
transcript.pyannote[312].speaker SPEAKER_35
transcript.pyannote[312].start 3360.11346875
transcript.pyannote[312].end 3362.96534375
transcript.pyannote[313].speaker SPEAKER_35
transcript.pyannote[313].start 3363.53909375
transcript.pyannote[313].end 3365.31096875
transcript.pyannote[314].speaker SPEAKER_35
transcript.pyannote[314].start 3365.63159375
transcript.pyannote[314].end 3366.84659375
transcript.pyannote[315].speaker SPEAKER_35
transcript.pyannote[315].start 3367.47096875
transcript.pyannote[315].end 3372.12846875
transcript.pyannote[316].speaker SPEAKER_35
transcript.pyannote[316].start 3372.48284375
transcript.pyannote[316].end 3376.83659375
transcript.pyannote[317].speaker SPEAKER_35
transcript.pyannote[317].start 3377.15721875
transcript.pyannote[317].end 3378.54096875
transcript.pyannote[318].speaker SPEAKER_35
transcript.pyannote[318].start 3378.96284375
transcript.pyannote[318].end 3380.75159375
transcript.pyannote[319].speaker SPEAKER_35
transcript.pyannote[319].start 3380.98784375
transcript.pyannote[319].end 3382.13534375
transcript.pyannote[320].speaker SPEAKER_35
transcript.pyannote[320].start 3382.43909375
transcript.pyannote[320].end 3384.31221875
transcript.pyannote[321].speaker SPEAKER_35
transcript.pyannote[321].start 3384.68346875
transcript.pyannote[321].end 3385.94909375
transcript.pyannote[322].speaker SPEAKER_35
transcript.pyannote[322].start 3386.37096875
transcript.pyannote[322].end 3387.97409375
transcript.pyannote[323].speaker SPEAKER_35
transcript.pyannote[323].start 3388.26096875
transcript.pyannote[323].end 3391.95659375
transcript.pyannote[324].speaker SPEAKER_35
transcript.pyannote[324].start 3392.34471875
transcript.pyannote[324].end 3395.36534375
transcript.pyannote[325].speaker SPEAKER_35
transcript.pyannote[325].start 3396.49596875
transcript.pyannote[325].end 3396.98534375
transcript.pyannote[326].speaker SPEAKER_35
transcript.pyannote[326].start 3397.59284375
transcript.pyannote[326].end 3400.96784375
transcript.pyannote[327].speaker SPEAKER_35
transcript.pyannote[327].start 3401.52471875
transcript.pyannote[327].end 3403.17846875
transcript.pyannote[328].speaker SPEAKER_35
transcript.pyannote[328].start 3403.61721875
transcript.pyannote[328].end 3408.94971875
transcript.pyannote[329].speaker SPEAKER_35
transcript.pyannote[329].start 3409.27034375
transcript.pyannote[329].end 3410.19846875
transcript.pyannote[330].speaker SPEAKER_35
transcript.pyannote[330].start 3410.46846875
transcript.pyannote[330].end 3412.59471875
transcript.pyannote[331].speaker SPEAKER_35
transcript.pyannote[331].start 3414.18096875
transcript.pyannote[331].end 3416.72909375
transcript.pyannote[332].speaker SPEAKER_35
transcript.pyannote[332].start 3417.16784375
transcript.pyannote[332].end 3418.36596875
transcript.pyannote[333].speaker SPEAKER_35
transcript.pyannote[333].start 3418.50096875
transcript.pyannote[333].end 3421.11659375
transcript.pyannote[334].speaker SPEAKER_35
transcript.pyannote[334].start 3421.38659375
transcript.pyannote[334].end 3423.91784375
transcript.pyannote[335].speaker SPEAKER_35
transcript.pyannote[335].start 3424.05284375
transcript.pyannote[335].end 3428.38971875
transcript.pyannote[336].speaker SPEAKER_35
transcript.pyannote[336].start 3428.74409375
transcript.pyannote[336].end 3431.57909375
transcript.pyannote[337].speaker SPEAKER_35
transcript.pyannote[337].start 3431.96721875
transcript.pyannote[337].end 3433.45221875
transcript.pyannote[338].speaker SPEAKER_35
transcript.pyannote[338].start 3434.26221875
transcript.pyannote[338].end 3437.50221875
transcript.pyannote[339].speaker SPEAKER_35
transcript.pyannote[339].start 3438.04221875
transcript.pyannote[339].end 3441.33284375
transcript.pyannote[340].speaker SPEAKER_35
transcript.pyannote[340].start 3441.82221875
transcript.pyannote[340].end 3444.06659375
transcript.pyannote[341].speaker SPEAKER_35
transcript.pyannote[341].start 3444.31971875
transcript.pyannote[341].end 3445.83846875
transcript.pyannote[342].speaker SPEAKER_35
transcript.pyannote[342].start 3446.37846875
transcript.pyannote[342].end 3447.13784375
transcript.pyannote[343].speaker SPEAKER_35
transcript.pyannote[343].start 3447.42471875
transcript.pyannote[343].end 3451.79534375
transcript.pyannote[344].speaker SPEAKER_35
transcript.pyannote[344].start 3452.23409375
transcript.pyannote[344].end 3455.84534375
transcript.pyannote[345].speaker SPEAKER_35
transcript.pyannote[345].start 3456.46971875
transcript.pyannote[345].end 3457.97159375
transcript.pyannote[346].speaker SPEAKER_35
transcript.pyannote[346].start 3458.24159375
transcript.pyannote[346].end 3460.87409375
transcript.pyannote[347].speaker SPEAKER_35
transcript.pyannote[347].start 3461.34659375
transcript.pyannote[347].end 3462.52784375
transcript.pyannote[348].speaker SPEAKER_35
transcript.pyannote[348].start 3462.81471875
transcript.pyannote[348].end 3463.33784375
transcript.pyannote[349].speaker SPEAKER_35
transcript.pyannote[349].start 3463.59096875
transcript.pyannote[349].end 3466.99971875
transcript.pyannote[350].speaker SPEAKER_35
transcript.pyannote[350].start 3468.06284375
transcript.pyannote[350].end 3469.75034375
transcript.pyannote[351].speaker SPEAKER_35
transcript.pyannote[351].start 3470.17221875
transcript.pyannote[351].end 3473.69909375
transcript.pyannote[352].speaker SPEAKER_35
transcript.pyannote[352].start 3474.20534375
transcript.pyannote[352].end 3478.17096875
transcript.pyannote[353].speaker SPEAKER_35
transcript.pyannote[353].start 3478.25534375
transcript.pyannote[353].end 3481.39409375
transcript.pyannote[354].speaker SPEAKER_35
transcript.pyannote[354].start 3481.64721875
transcript.pyannote[354].end 3482.54159375
transcript.pyannote[355].speaker SPEAKER_35
transcript.pyannote[355].start 3483.14909375
transcript.pyannote[355].end 3487.67159375
transcript.pyannote[356].speaker SPEAKER_35
transcript.pyannote[356].start 3488.36346875
transcript.pyannote[356].end 3493.05471875
transcript.pyannote[357].speaker SPEAKER_35
transcript.pyannote[357].start 3493.13909375
transcript.pyannote[357].end 3495.90659375
transcript.pyannote[358].speaker SPEAKER_35
transcript.pyannote[358].start 3496.37909375
transcript.pyannote[358].end 3497.67846875
transcript.pyannote[359].speaker SPEAKER_35
transcript.pyannote[359].start 3498.04971875
transcript.pyannote[359].end 3499.39971875
transcript.pyannote[360].speaker SPEAKER_35
transcript.pyannote[360].start 3499.65284375
transcript.pyannote[360].end 3500.12534375
transcript.pyannote[361].speaker SPEAKER_35
transcript.pyannote[361].start 3500.81721875
transcript.pyannote[361].end 3502.63971875
transcript.pyannote[362].speaker SPEAKER_35
transcript.pyannote[362].start 3502.80846875
transcript.pyannote[362].end 3504.69846875
transcript.pyannote[363].speaker SPEAKER_35
transcript.pyannote[363].start 3505.10346875
transcript.pyannote[363].end 3507.12846875
transcript.pyannote[364].speaker SPEAKER_35
transcript.pyannote[364].start 3510.67221875
transcript.pyannote[364].end 3510.95909375
transcript.pyannote[365].speaker SPEAKER_35
transcript.pyannote[365].start 3511.54971875
transcript.pyannote[365].end 3515.54909375
transcript.pyannote[366].speaker SPEAKER_35
transcript.pyannote[366].start 3516.08909375
transcript.pyannote[366].end 3518.43471875
transcript.pyannote[367].speaker SPEAKER_35
transcript.pyannote[367].start 3518.83971875
transcript.pyannote[367].end 3521.75909375
transcript.pyannote[368].speaker SPEAKER_35
transcript.pyannote[368].start 3522.24846875
transcript.pyannote[368].end 3525.06659375
transcript.pyannote[369].speaker SPEAKER_35
transcript.pyannote[369].start 3525.70784375
transcript.pyannote[369].end 3530.01096875
transcript.pyannote[370].speaker SPEAKER_35
transcript.pyannote[370].start 3530.44971875
transcript.pyannote[370].end 3535.10721875
transcript.pyannote[371].speaker SPEAKER_35
transcript.pyannote[371].start 3535.37721875
transcript.pyannote[371].end 3536.52471875
transcript.pyannote[372].speaker SPEAKER_35
transcript.pyannote[372].start 3536.72721875
transcript.pyannote[372].end 3539.29221875
transcript.pyannote[373].speaker SPEAKER_35
transcript.pyannote[373].start 3540.13596875
transcript.pyannote[373].end 3540.38909375
transcript.pyannote[374].speaker SPEAKER_35
transcript.pyannote[374].start 3540.79409375
transcript.pyannote[374].end 3544.20284375
transcript.pyannote[375].speaker SPEAKER_35
transcript.pyannote[375].start 3544.77659375
transcript.pyannote[375].end 3549.97409375
transcript.pyannote[376].speaker SPEAKER_35
transcript.pyannote[376].start 3550.36221875
transcript.pyannote[376].end 3553.34909375
transcript.pyannote[377].speaker SPEAKER_35
transcript.pyannote[377].start 3553.85534375
transcript.pyannote[377].end 3556.25159375
transcript.pyannote[378].speaker SPEAKER_35
transcript.pyannote[378].start 3556.74096875
transcript.pyannote[378].end 3560.06534375
transcript.pyannote[379].speaker SPEAKER_35
transcript.pyannote[379].start 3560.31846875
transcript.pyannote[379].end 3560.90909375
transcript.pyannote[380].speaker SPEAKER_35
transcript.pyannote[380].start 3561.24659375
transcript.pyannote[380].end 3562.46159375
transcript.pyannote[381].speaker SPEAKER_35
transcript.pyannote[381].start 3563.01846875
transcript.pyannote[381].end 3565.97159375
transcript.pyannote[382].speaker SPEAKER_35
transcript.pyannote[382].start 3566.34284375
transcript.pyannote[382].end 3567.03471875
transcript.pyannote[383].speaker SPEAKER_35
transcript.pyannote[383].start 3568.51971875
transcript.pyannote[383].end 3569.07659375
transcript.pyannote[384].speaker SPEAKER_35
transcript.pyannote[384].start 3569.19471875
transcript.pyannote[384].end 3572.18159375
transcript.pyannote[385].speaker SPEAKER_35
transcript.pyannote[385].start 3573.07596875
transcript.pyannote[385].end 3574.86471875
transcript.pyannote[386].speaker SPEAKER_35
transcript.pyannote[386].start 3575.05034375
transcript.pyannote[386].end 3575.50596875
transcript.pyannote[387].speaker SPEAKER_35
transcript.pyannote[387].start 3575.70846875
transcript.pyannote[387].end 3576.09659375
transcript.pyannote[388].speaker SPEAKER_35
transcript.pyannote[388].start 3576.26534375
transcript.pyannote[388].end 3577.48034375
transcript.pyannote[389].speaker SPEAKER_35
transcript.pyannote[389].start 3578.05409375
transcript.pyannote[389].end 3581.42909375
transcript.pyannote[390].speaker SPEAKER_35
transcript.pyannote[390].start 3581.88471875
transcript.pyannote[390].end 3583.96034375
transcript.pyannote[391].speaker SPEAKER_35
transcript.pyannote[391].start 3584.33159375
transcript.pyannote[391].end 3584.90534375
transcript.pyannote[392].speaker SPEAKER_35
transcript.pyannote[392].start 3585.64784375
transcript.pyannote[392].end 3586.01909375
transcript.pyannote[393].speaker SPEAKER_35
transcript.pyannote[393].start 3586.64346875
transcript.pyannote[393].end 3591.26721875
transcript.pyannote[394].speaker SPEAKER_35
transcript.pyannote[394].start 3591.55409375
transcript.pyannote[394].end 3593.76471875
transcript.pyannote[395].speaker SPEAKER_35
transcript.pyannote[395].start 3594.18659375
transcript.pyannote[395].end 3598.72596875
transcript.pyannote[396].speaker SPEAKER_35
transcript.pyannote[396].start 3599.24909375
transcript.pyannote[396].end 3603.11346875
transcript.pyannote[397].speaker SPEAKER_35
transcript.pyannote[397].start 3603.50159375
transcript.pyannote[397].end 3606.03284375
transcript.pyannote[398].speaker SPEAKER_35
transcript.pyannote[398].start 3607.02846875
transcript.pyannote[398].end 3608.00721875
transcript.pyannote[399].speaker SPEAKER_35
transcript.pyannote[399].start 3608.69909375
transcript.pyannote[399].end 3616.03971875
transcript.pyannote[400].speaker SPEAKER_35
transcript.pyannote[400].start 3616.81596875
transcript.pyannote[400].end 3617.82846875
transcript.pyannote[401].speaker SPEAKER_35
transcript.pyannote[401].start 3619.02659375
transcript.pyannote[401].end 3621.23721875
transcript.pyannote[402].speaker SPEAKER_35
transcript.pyannote[402].start 3622.77284375
transcript.pyannote[402].end 3629.23596875
transcript.pyannote[403].speaker SPEAKER_35
transcript.pyannote[403].start 3629.55659375
transcript.pyannote[403].end 3633.70784375
transcript.pyannote[404].speaker SPEAKER_35
transcript.pyannote[404].start 3634.09596875
transcript.pyannote[404].end 3635.95221875
transcript.pyannote[405].speaker SPEAKER_35
transcript.pyannote[405].start 3636.25596875
transcript.pyannote[405].end 3637.65659375
transcript.pyannote[406].speaker SPEAKER_35
transcript.pyannote[406].start 3638.02784375
transcript.pyannote[406].end 3639.12471875
transcript.pyannote[407].speaker SPEAKER_35
transcript.pyannote[407].start 3639.66471875
transcript.pyannote[407].end 3641.77409375
transcript.pyannote[408].speaker SPEAKER_35
transcript.pyannote[408].start 3641.82471875
transcript.pyannote[408].end 3644.13659375
transcript.pyannote[409].speaker SPEAKER_35
transcript.pyannote[409].start 3644.60909375
transcript.pyannote[409].end 3647.44409375
transcript.pyannote[410].speaker SPEAKER_35
transcript.pyannote[410].start 3648.33846875
transcript.pyannote[410].end 3653.09721875
transcript.pyannote[411].speaker SPEAKER_35
transcript.pyannote[411].start 3654.24471875
transcript.pyannote[411].end 3657.58596875
transcript.pyannote[412].speaker SPEAKER_35
transcript.pyannote[412].start 3658.21034375
transcript.pyannote[412].end 3659.29034375
transcript.pyannote[413].speaker SPEAKER_35
transcript.pyannote[413].start 3659.54346875
transcript.pyannote[413].end 3662.32784375
transcript.pyannote[414].speaker SPEAKER_35
transcript.pyannote[414].start 3662.66534375
transcript.pyannote[414].end 3664.58909375
transcript.pyannote[415].speaker SPEAKER_35
transcript.pyannote[415].start 3665.06159375
transcript.pyannote[415].end 3667.32284375
transcript.pyannote[416].speaker SPEAKER_35
transcript.pyannote[416].start 3667.64346875
transcript.pyannote[416].end 3669.71909375
transcript.pyannote[417].speaker SPEAKER_35
transcript.pyannote[417].start 3670.00596875
transcript.pyannote[417].end 3674.47784375
transcript.pyannote[418].speaker SPEAKER_35
transcript.pyannote[418].start 3674.74784375
transcript.pyannote[418].end 3678.03846875
transcript.pyannote[419].speaker SPEAKER_35
transcript.pyannote[419].start 3678.88221875
transcript.pyannote[419].end 3683.30346875
transcript.pyannote[420].speaker SPEAKER_35
transcript.pyannote[420].start 3684.11346875
transcript.pyannote[420].end 3686.52659375
transcript.pyannote[421].speaker SPEAKER_35
transcript.pyannote[421].start 3687.11721875
transcript.pyannote[421].end 3688.12971875
transcript.pyannote[422].speaker SPEAKER_35
transcript.pyannote[422].start 3688.90596875
transcript.pyannote[422].end 3692.44971875
transcript.pyannote[423].speaker SPEAKER_35
transcript.pyannote[423].start 3692.80409375
transcript.pyannote[423].end 3694.76159375
transcript.pyannote[424].speaker SPEAKER_35
transcript.pyannote[424].start 3695.13284375
transcript.pyannote[424].end 3696.68534375
transcript.pyannote[425].speaker SPEAKER_21
transcript.pyannote[425].start 3698.92971875
transcript.pyannote[425].end 3699.97596875
transcript.pyannote[426].speaker SPEAKER_21
transcript.pyannote[426].start 3700.36409375
transcript.pyannote[426].end 3704.16096875
transcript.pyannote[427].speaker SPEAKER_21
transcript.pyannote[427].start 3704.59971875
transcript.pyannote[427].end 3705.89909375
transcript.pyannote[428].speaker SPEAKER_21
transcript.pyannote[428].start 3706.43909375
transcript.pyannote[428].end 3710.01659375
transcript.pyannote[429].speaker SPEAKER_31
transcript.pyannote[429].start 3715.63596875
transcript.pyannote[429].end 3727.31346875
transcript.pyannote[430].speaker SPEAKER_31
transcript.pyannote[430].start 3727.70159375
transcript.pyannote[430].end 3728.95034375
transcript.pyannote[431].speaker SPEAKER_31
transcript.pyannote[431].start 3729.05159375
transcript.pyannote[431].end 3730.53659375
transcript.pyannote[432].speaker SPEAKER_31
transcript.pyannote[432].start 3730.97534375
transcript.pyannote[432].end 3747.52971875
transcript.pyannote[433].speaker SPEAKER_31
transcript.pyannote[433].start 3747.86721875
transcript.pyannote[433].end 3754.31346875
transcript.pyannote[434].speaker SPEAKER_31
transcript.pyannote[434].start 3755.15721875
transcript.pyannote[434].end 3759.83159375
transcript.pyannote[435].speaker SPEAKER_31
transcript.pyannote[435].start 3759.89909375
transcript.pyannote[435].end 3763.00409375
transcript.pyannote[436].speaker SPEAKER_31
transcript.pyannote[436].start 3763.96596875
transcript.pyannote[436].end 3768.62346875
transcript.pyannote[437].speaker SPEAKER_31
transcript.pyannote[437].start 3768.85971875
transcript.pyannote[437].end 3772.63971875
transcript.pyannote[438].speaker SPEAKER_31
transcript.pyannote[438].start 3772.75784375
transcript.pyannote[438].end 3775.81221875
transcript.pyannote[439].speaker SPEAKER_31
transcript.pyannote[439].start 3776.38596875
transcript.pyannote[439].end 3789.37971875
transcript.pyannote[440].speaker SPEAKER_31
transcript.pyannote[440].start 3790.00409375
transcript.pyannote[440].end 3790.22346875
transcript.pyannote[441].speaker SPEAKER_31
transcript.pyannote[441].start 3790.57784375
transcript.pyannote[441].end 3796.29846875
transcript.pyannote[442].speaker SPEAKER_31
transcript.pyannote[442].start 3796.56846875
transcript.pyannote[442].end 3802.12034375
transcript.pyannote[443].speaker SPEAKER_31
transcript.pyannote[443].start 3802.72784375
transcript.pyannote[443].end 3802.99784375
transcript.pyannote[444].speaker SPEAKER_31
transcript.pyannote[444].start 3803.23409375
transcript.pyannote[444].end 3809.86596875
transcript.pyannote[445].speaker SPEAKER_31
transcript.pyannote[445].start 3810.40596875
transcript.pyannote[445].end 3817.49346875
transcript.pyannote[446].speaker SPEAKER_31
transcript.pyannote[446].start 3817.76346875
transcript.pyannote[446].end 3820.69971875
transcript.pyannote[447].speaker SPEAKER_31
transcript.pyannote[447].start 3821.02034375
transcript.pyannote[447].end 3824.14221875
transcript.pyannote[448].speaker SPEAKER_31
transcript.pyannote[448].start 3824.26034375
transcript.pyannote[448].end 3826.03221875
transcript.pyannote[449].speaker SPEAKER_31
transcript.pyannote[449].start 3827.07846875
transcript.pyannote[449].end 3834.38534375
transcript.pyannote[450].speaker SPEAKER_31
transcript.pyannote[450].start 3835.38096875
transcript.pyannote[450].end 3852.54284375
transcript.pyannote[451].speaker SPEAKER_31
transcript.pyannote[451].start 3853.06596875
transcript.pyannote[451].end 3860.82846875
transcript.pyannote[452].speaker SPEAKER_31
transcript.pyannote[452].start 3861.16596875
transcript.pyannote[452].end 3864.86159375
transcript.pyannote[453].speaker SPEAKER_31
transcript.pyannote[453].start 3865.08096875
transcript.pyannote[453].end 3865.90784375
transcript.pyannote[454].speaker SPEAKER_31
transcript.pyannote[454].start 3867.10596875
transcript.pyannote[454].end 3867.39284375
transcript.pyannote[455].speaker SPEAKER_21
transcript.pyannote[455].start 3867.39284375
transcript.pyannote[455].end 3867.42659375
transcript.pyannote[456].speaker SPEAKER_21
transcript.pyannote[456].start 3867.98346875
transcript.pyannote[456].end 3868.57409375
transcript.pyannote[457].speaker SPEAKER_31
transcript.pyannote[457].start 3869.18159375
transcript.pyannote[457].end 3869.19846875
transcript.pyannote[458].speaker SPEAKER_21
transcript.pyannote[458].start 3869.19846875
transcript.pyannote[458].end 3870.93659375
transcript.pyannote[459].speaker SPEAKER_21
transcript.pyannote[459].start 3871.40909375
transcript.pyannote[459].end 3874.96971875
transcript.pyannote[460].speaker SPEAKER_21
transcript.pyannote[460].start 3876.20159375
transcript.pyannote[460].end 3878.07471875
transcript.pyannote[461].speaker SPEAKER_21
transcript.pyannote[461].start 3878.68221875
transcript.pyannote[461].end 3880.60596875
transcript.pyannote[462].speaker SPEAKER_21
transcript.pyannote[462].start 3881.26409375
transcript.pyannote[462].end 3883.45784375
transcript.pyannote[463].speaker SPEAKER_21
transcript.pyannote[463].start 3884.60534375
transcript.pyannote[463].end 3884.87534375
transcript.pyannote[464].speaker SPEAKER_21
transcript.pyannote[464].start 3885.46596875
transcript.pyannote[464].end 3886.17471875
transcript.pyannote[465].speaker SPEAKER_21
transcript.pyannote[465].start 3887.84534375
transcript.pyannote[465].end 3893.68409375
transcript.pyannote[466].speaker SPEAKER_21
transcript.pyannote[466].start 3894.17346875
transcript.pyannote[466].end 3896.02971875
transcript.pyannote[467].speaker SPEAKER_21
transcript.pyannote[467].start 3896.13096875
transcript.pyannote[467].end 3896.82284375
transcript.pyannote[468].speaker SPEAKER_21
transcript.pyannote[468].start 3897.27846875
transcript.pyannote[468].end 3898.84784375
transcript.pyannote[469].speaker SPEAKER_21
transcript.pyannote[469].start 3899.26971875
transcript.pyannote[469].end 3900.92346875
transcript.pyannote[470].speaker SPEAKER_21
transcript.pyannote[470].start 3901.34534375
transcript.pyannote[470].end 3902.15534375
transcript.pyannote[471].speaker SPEAKER_21
transcript.pyannote[471].start 3902.86409375
transcript.pyannote[471].end 3903.97784375
transcript.pyannote[472].speaker SPEAKER_21
transcript.pyannote[472].start 3907.53846875
transcript.pyannote[472].end 3913.64721875
transcript.pyannote[473].speaker SPEAKER_21
transcript.pyannote[473].start 3914.25471875
transcript.pyannote[473].end 3916.95471875
transcript.pyannote[474].speaker SPEAKER_21
transcript.pyannote[474].start 3917.42721875
transcript.pyannote[474].end 3923.45159375
transcript.pyannote[475].speaker SPEAKER_21
transcript.pyannote[475].start 3923.82284375
transcript.pyannote[475].end 3926.37096875
transcript.pyannote[476].speaker SPEAKER_21
transcript.pyannote[476].start 3926.79284375
transcript.pyannote[476].end 3927.26534375
transcript.pyannote[477].speaker SPEAKER_21
transcript.pyannote[477].start 3927.56909375
transcript.pyannote[477].end 3928.07534375
transcript.pyannote[478].speaker SPEAKER_21
transcript.pyannote[478].start 3928.54784375
transcript.pyannote[478].end 3933.07034375
transcript.pyannote[479].speaker SPEAKER_21
transcript.pyannote[479].start 3933.98159375
transcript.pyannote[479].end 3935.61846875
transcript.pyannote[480].speaker SPEAKER_21
transcript.pyannote[480].start 3936.07409375
transcript.pyannote[480].end 3937.81221875
transcript.pyannote[481].speaker SPEAKER_21
transcript.pyannote[481].start 3938.18346875
transcript.pyannote[481].end 3940.37721875
transcript.pyannote[482].speaker SPEAKER_30
transcript.pyannote[482].start 3947.43096875
transcript.pyannote[482].end 3950.38409375
transcript.pyannote[483].speaker SPEAKER_21
transcript.pyannote[483].start 3950.89034375
transcript.pyannote[483].end 3951.76784375
transcript.pyannote[484].speaker SPEAKER_30
transcript.pyannote[484].start 3951.39659375
transcript.pyannote[484].end 3953.06721875
transcript.pyannote[485].speaker SPEAKER_21
transcript.pyannote[485].start 3953.06721875
transcript.pyannote[485].end 3953.99534375
transcript.pyannote[486].speaker SPEAKER_30
transcript.pyannote[486].start 3953.08409375
transcript.pyannote[486].end 3953.59034375
transcript.pyannote[487].speaker SPEAKER_30
transcript.pyannote[487].start 3961.94346875
transcript.pyannote[487].end 3962.33159375
transcript.pyannote[488].speaker SPEAKER_30
transcript.pyannote[488].start 3962.48346875
transcript.pyannote[488].end 3963.07409375
transcript.pyannote[489].speaker SPEAKER_30
transcript.pyannote[489].start 3963.85034375
transcript.pyannote[489].end 3968.82846875
transcript.pyannote[490].speaker SPEAKER_23
transcript.pyannote[490].start 3968.82846875
transcript.pyannote[490].end 3968.91284375
transcript.pyannote[491].speaker SPEAKER_30
transcript.pyannote[491].start 3969.65534375
transcript.pyannote[491].end 3969.68909375
transcript.pyannote[492].speaker SPEAKER_23
transcript.pyannote[492].start 3969.68909375
transcript.pyannote[492].end 3978.39659375
transcript.pyannote[493].speaker SPEAKER_23
transcript.pyannote[493].start 3978.97034375
transcript.pyannote[493].end 3980.08409375
transcript.pyannote[494].speaker SPEAKER_23
transcript.pyannote[494].start 3980.55659375
transcript.pyannote[494].end 3985.65284375
transcript.pyannote[495].speaker SPEAKER_23
transcript.pyannote[495].start 3986.80034375
transcript.pyannote[495].end 3992.40284375
transcript.pyannote[496].speaker SPEAKER_23
transcript.pyannote[496].start 3993.29721875
transcript.pyannote[496].end 3998.73096875
transcript.pyannote[497].speaker SPEAKER_23
transcript.pyannote[497].start 3999.18659375
transcript.pyannote[497].end 4004.48534375
transcript.pyannote[498].speaker SPEAKER_23
transcript.pyannote[498].start 4004.70471875
transcript.pyannote[498].end 4005.71721875
transcript.pyannote[499].speaker SPEAKER_23
transcript.pyannote[499].start 4006.52721875
transcript.pyannote[499].end 4010.07096875
transcript.pyannote[500].speaker SPEAKER_23
transcript.pyannote[500].start 4010.91471875
transcript.pyannote[500].end 4014.39096875
transcript.pyannote[501].speaker SPEAKER_23
transcript.pyannote[501].start 4015.26846875
transcript.pyannote[501].end 4018.40721875
transcript.pyannote[502].speaker SPEAKER_23
transcript.pyannote[502].start 4018.82909375
transcript.pyannote[502].end 4019.26784375
transcript.pyannote[503].speaker SPEAKER_23
transcript.pyannote[503].start 4020.17909375
transcript.pyannote[503].end 4025.15721875
transcript.pyannote[504].speaker SPEAKER_23
transcript.pyannote[504].start 4025.88284375
transcript.pyannote[504].end 4035.73784375
transcript.pyannote[505].speaker SPEAKER_23
transcript.pyannote[505].start 4036.14284375
transcript.pyannote[505].end 4037.00346875
transcript.pyannote[506].speaker SPEAKER_23
transcript.pyannote[506].start 4037.40846875
transcript.pyannote[506].end 4037.84721875
transcript.pyannote[507].speaker SPEAKER_23
transcript.pyannote[507].start 4038.08346875
transcript.pyannote[507].end 4039.07909375
transcript.pyannote[508].speaker SPEAKER_23
transcript.pyannote[508].start 4039.95659375
transcript.pyannote[508].end 4040.64846875
transcript.pyannote[509].speaker SPEAKER_23
transcript.pyannote[509].start 4041.64409375
transcript.pyannote[509].end 4042.47096875
transcript.pyannote[510].speaker SPEAKER_23
transcript.pyannote[510].start 4042.82534375
transcript.pyannote[510].end 4046.60534375
transcript.pyannote[511].speaker SPEAKER_23
transcript.pyannote[511].start 4047.60096875
transcript.pyannote[511].end 4049.05221875
transcript.pyannote[512].speaker SPEAKER_23
transcript.pyannote[512].start 4049.27159375
transcript.pyannote[512].end 4050.04784375
transcript.pyannote[513].speaker SPEAKER_23
transcript.pyannote[513].start 4051.06034375
transcript.pyannote[513].end 4051.76909375
transcript.pyannote[514].speaker SPEAKER_27
transcript.pyannote[514].start 4052.12346875
transcript.pyannote[514].end 4055.02596875
transcript.pyannote[515].speaker SPEAKER_23
transcript.pyannote[515].start 4055.41409375
transcript.pyannote[515].end 4070.95596875
transcript.pyannote[516].speaker SPEAKER_27
transcript.pyannote[516].start 4070.53409375
transcript.pyannote[516].end 4074.70221875
transcript.pyannote[517].speaker SPEAKER_23
transcript.pyannote[517].start 4074.83721875
transcript.pyannote[517].end 4080.18659375
transcript.pyannote[518].speaker SPEAKER_23
transcript.pyannote[518].start 4080.40596875
transcript.pyannote[518].end 4082.39721875
transcript.pyannote[519].speaker SPEAKER_27
transcript.pyannote[519].start 4083.12284375
transcript.pyannote[519].end 4093.11284375
transcript.pyannote[520].speaker SPEAKER_23
transcript.pyannote[520].start 4083.59534375
transcript.pyannote[520].end 4084.25346875
transcript.pyannote[521].speaker SPEAKER_29
transcript.pyannote[521].start 4084.25346875
transcript.pyannote[521].end 4084.96221875
transcript.pyannote[522].speaker SPEAKER_23
transcript.pyannote[522].start 4090.27784375
transcript.pyannote[522].end 4090.66596875
transcript.pyannote[523].speaker SPEAKER_00
transcript.pyannote[523].start 4091.88096875
transcript.pyannote[523].end 4091.94846875
transcript.pyannote[524].speaker SPEAKER_27
transcript.pyannote[524].start 4093.31534375
transcript.pyannote[524].end 4095.93096875
transcript.pyannote[525].speaker SPEAKER_27
transcript.pyannote[525].start 4095.96471875
transcript.pyannote[525].end 4101.93846875
transcript.pyannote[526].speaker SPEAKER_23
transcript.pyannote[526].start 4101.07784375
transcript.pyannote[526].end 4104.21659375
transcript.pyannote[527].speaker SPEAKER_23
transcript.pyannote[527].start 4104.60471875
transcript.pyannote[527].end 4106.93346875
transcript.pyannote[528].speaker SPEAKER_27
transcript.pyannote[528].start 4107.01784375
transcript.pyannote[528].end 4108.73909375
transcript.pyannote[529].speaker SPEAKER_23
transcript.pyannote[529].start 4108.73909375
transcript.pyannote[529].end 4112.35034375
transcript.pyannote[530].speaker SPEAKER_27
transcript.pyannote[530].start 4112.94096875
transcript.pyannote[530].end 4122.50909375
transcript.pyannote[531].speaker SPEAKER_23
transcript.pyannote[531].start 4122.88034375
transcript.pyannote[531].end 4126.00221875
transcript.pyannote[532].speaker SPEAKER_27
transcript.pyannote[532].start 4122.89721875
transcript.pyannote[532].end 4129.59659375
transcript.pyannote[533].speaker SPEAKER_27
transcript.pyannote[533].start 4129.98471875
transcript.pyannote[533].end 4131.14909375
transcript.pyannote[534].speaker SPEAKER_23
transcript.pyannote[534].start 4131.08159375
transcript.pyannote[534].end 4141.49346875
transcript.pyannote[535].speaker SPEAKER_27
transcript.pyannote[535].start 4131.16596875
transcript.pyannote[535].end 4131.19971875
transcript.pyannote[536].speaker SPEAKER_27
transcript.pyannote[536].start 4131.63846875
transcript.pyannote[536].end 4133.59596875
transcript.pyannote[537].speaker SPEAKER_23
transcript.pyannote[537].start 4141.91534375
transcript.pyannote[537].end 4142.60721875
transcript.pyannote[538].speaker SPEAKER_23
transcript.pyannote[538].start 4143.92346875
transcript.pyannote[538].end 4145.57721875
transcript.pyannote[539].speaker SPEAKER_27
transcript.pyannote[539].start 4145.57721875
transcript.pyannote[539].end 4145.67846875
transcript.pyannote[540].speaker SPEAKER_23
transcript.pyannote[540].start 4145.67846875
transcript.pyannote[540].end 4145.74596875
transcript.pyannote[541].speaker SPEAKER_27
transcript.pyannote[541].start 4145.74596875
transcript.pyannote[541].end 4150.13346875
transcript.pyannote[542].speaker SPEAKER_23
transcript.pyannote[542].start 4150.13346875
transcript.pyannote[542].end 4157.62596875
transcript.pyannote[543].speaker SPEAKER_27
transcript.pyannote[543].start 4156.71471875
transcript.pyannote[543].end 4165.94534375
transcript.pyannote[544].speaker SPEAKER_23
transcript.pyannote[544].start 4159.63409375
transcript.pyannote[544].end 4161.00096875
transcript.pyannote[545].speaker SPEAKER_23
transcript.pyannote[545].start 4161.94596875
transcript.pyannote[545].end 4165.91159375
transcript.pyannote[546].speaker SPEAKER_27
transcript.pyannote[546].start 4166.45159375
transcript.pyannote[546].end 4170.38346875
transcript.pyannote[547].speaker SPEAKER_23
transcript.pyannote[547].start 4166.75534375
transcript.pyannote[547].end 4171.17659375
transcript.pyannote[548].speaker SPEAKER_23
transcript.pyannote[548].start 4172.02034375
transcript.pyannote[548].end 4173.08346875
transcript.pyannote[549].speaker SPEAKER_27
transcript.pyannote[549].start 4172.05409375
transcript.pyannote[549].end 4172.96534375
transcript.pyannote[550].speaker SPEAKER_27
transcript.pyannote[550].start 4173.65721875
transcript.pyannote[550].end 4179.05721875
transcript.pyannote[551].speaker SPEAKER_23
transcript.pyannote[551].start 4173.85971875
transcript.pyannote[551].end 4174.43346875
transcript.pyannote[552].speaker SPEAKER_23
transcript.pyannote[552].start 4177.48784375
transcript.pyannote[552].end 4187.34284375
transcript.pyannote[553].speaker SPEAKER_27
transcript.pyannote[553].start 4182.75284375
transcript.pyannote[553].end 4184.77784375
transcript.pyannote[554].speaker SPEAKER_23
transcript.pyannote[554].start 4187.88284375
transcript.pyannote[554].end 4209.06096875
transcript.pyannote[555].speaker SPEAKER_27
transcript.pyannote[555].start 4209.06096875
transcript.pyannote[555].end 4209.58409375
transcript.pyannote[556].speaker SPEAKER_23
transcript.pyannote[556].start 4209.58409375
transcript.pyannote[556].end 4211.10284375
transcript.pyannote[557].speaker SPEAKER_27
transcript.pyannote[557].start 4209.60096875
transcript.pyannote[557].end 4212.68909375
transcript.pyannote[558].speaker SPEAKER_23
transcript.pyannote[558].start 4212.35159375
transcript.pyannote[558].end 4220.29971875
transcript.pyannote[559].speaker SPEAKER_27
transcript.pyannote[559].start 4220.21534375
transcript.pyannote[559].end 4223.69159375
transcript.pyannote[560].speaker SPEAKER_23
transcript.pyannote[560].start 4221.68346875
transcript.pyannote[560].end 4223.37096875
transcript.pyannote[561].speaker SPEAKER_23
transcript.pyannote[561].start 4224.23159375
transcript.pyannote[561].end 4232.50034375
transcript.pyannote[562].speaker SPEAKER_23
transcript.pyannote[562].start 4233.22596875
transcript.pyannote[562].end 4234.67721875
transcript.pyannote[563].speaker SPEAKER_23
transcript.pyannote[563].start 4235.11596875
transcript.pyannote[563].end 4236.02721875
transcript.pyannote[564].speaker SPEAKER_23
transcript.pyannote[564].start 4236.58409375
transcript.pyannote[564].end 4239.31784375
transcript.pyannote[565].speaker SPEAKER_27
transcript.pyannote[565].start 4239.67221875
transcript.pyannote[565].end 4244.24534375
transcript.pyannote[566].speaker SPEAKER_23
transcript.pyannote[566].start 4244.02596875
transcript.pyannote[566].end 4248.07596875
transcript.pyannote[567].speaker SPEAKER_29
transcript.pyannote[567].start 4248.07596875
transcript.pyannote[567].end 4248.10971875
transcript.pyannote[568].speaker SPEAKER_23
transcript.pyannote[568].start 4248.10971875
transcript.pyannote[568].end 4248.24471875
transcript.pyannote[569].speaker SPEAKER_29
transcript.pyannote[569].start 4248.24471875
transcript.pyannote[569].end 4248.58221875
transcript.pyannote[570].speaker SPEAKER_23
transcript.pyannote[570].start 4248.51471875
transcript.pyannote[570].end 4248.56534375
transcript.pyannote[571].speaker SPEAKER_23
transcript.pyannote[571].start 4248.58221875
transcript.pyannote[571].end 4263.90471875
transcript.pyannote[572].speaker SPEAKER_27
transcript.pyannote[572].start 4264.19159375
transcript.pyannote[572].end 4265.86221875
transcript.pyannote[573].speaker SPEAKER_23
transcript.pyannote[573].start 4265.84534375
transcript.pyannote[573].end 4267.61721875
transcript.pyannote[574].speaker SPEAKER_27
transcript.pyannote[574].start 4266.55409375
transcript.pyannote[574].end 4266.89159375
transcript.pyannote[575].speaker SPEAKER_23
transcript.pyannote[575].start 4268.78159375
transcript.pyannote[575].end 4269.84471875
transcript.pyannote[576].speaker SPEAKER_23
transcript.pyannote[576].start 4270.43534375
transcript.pyannote[576].end 4272.03846875
transcript.pyannote[577].speaker SPEAKER_23
transcript.pyannote[577].start 4272.24096875
transcript.pyannote[577].end 4274.14784375
transcript.pyannote[578].speaker SPEAKER_23
transcript.pyannote[578].start 4274.58659375
transcript.pyannote[578].end 4276.59471875
transcript.pyannote[579].speaker SPEAKER_15
transcript.pyannote[579].start 4278.33284375
transcript.pyannote[579].end 4281.79221875
transcript.pyannote[580].speaker SPEAKER_23
transcript.pyannote[580].start 4281.21846875
transcript.pyannote[580].end 4281.92721875
transcript.pyannote[581].speaker SPEAKER_23
transcript.pyannote[581].start 4282.46721875
transcript.pyannote[581].end 4283.61471875
transcript.pyannote[582].speaker SPEAKER_23
transcript.pyannote[582].start 4285.50471875
transcript.pyannote[582].end 4286.80409375
transcript.pyannote[583].speaker SPEAKER_15
transcript.pyannote[583].start 4285.87596875
transcript.pyannote[583].end 4286.48346875
transcript.pyannote[584].speaker SPEAKER_15
transcript.pyannote[584].start 4287.00659375
transcript.pyannote[584].end 4288.94721875
transcript.pyannote[585].speaker SPEAKER_23
transcript.pyannote[585].start 4287.19221875
transcript.pyannote[585].end 4291.10721875
transcript.pyannote[586].speaker SPEAKER_15
transcript.pyannote[586].start 4289.47034375
transcript.pyannote[586].end 4290.29721875
transcript.pyannote[587].speaker SPEAKER_15
transcript.pyannote[587].start 4290.39846875
transcript.pyannote[587].end 4293.45284375
transcript.pyannote[588].speaker SPEAKER_23
transcript.pyannote[588].start 4293.13221875
transcript.pyannote[588].end 4293.30096875
transcript.pyannote[589].speaker SPEAKER_15
transcript.pyannote[589].start 4294.09409375
transcript.pyannote[589].end 4295.79846875
transcript.pyannote[590].speaker SPEAKER_23
transcript.pyannote[590].start 4294.49909375
transcript.pyannote[590].end 4295.02221875
transcript.pyannote[591].speaker SPEAKER_23
transcript.pyannote[591].start 4295.68034375
transcript.pyannote[591].end 4300.20284375
transcript.pyannote[592].speaker SPEAKER_23
transcript.pyannote[592].start 4300.59096875
transcript.pyannote[592].end 4301.94096875
transcript.pyannote[593].speaker SPEAKER_23
transcript.pyannote[593].start 4302.29534375
transcript.pyannote[593].end 4303.94909375
transcript.pyannote[594].speaker SPEAKER_23
transcript.pyannote[594].start 4304.86034375
transcript.pyannote[594].end 4305.46784375
transcript.pyannote[595].speaker SPEAKER_19
transcript.pyannote[595].start 4306.24409375
transcript.pyannote[595].end 4306.58159375
transcript.pyannote[596].speaker SPEAKER_23
transcript.pyannote[596].start 4307.10471875
transcript.pyannote[596].end 4308.11721875
transcript.pyannote[597].speaker SPEAKER_19
transcript.pyannote[597].start 4308.45471875
transcript.pyannote[597].end 4309.23096875
transcript.pyannote[598].speaker SPEAKER_19
transcript.pyannote[598].start 4309.36596875
transcript.pyannote[598].end 4314.05721875
transcript.pyannote[599].speaker SPEAKER_23
transcript.pyannote[599].start 4309.73721875
transcript.pyannote[599].end 4311.30659375
transcript.pyannote[600].speaker SPEAKER_23
transcript.pyannote[600].start 4313.85471875
transcript.pyannote[600].end 4317.09471875
transcript.pyannote[601].speaker SPEAKER_23
transcript.pyannote[601].start 4317.95534375
transcript.pyannote[601].end 4319.72721875
transcript.pyannote[602].speaker SPEAKER_19
transcript.pyannote[602].start 4319.40659375
transcript.pyannote[602].end 4319.50784375
transcript.pyannote[603].speaker SPEAKER_23
transcript.pyannote[603].start 4319.94659375
transcript.pyannote[603].end 4319.96346875
transcript.pyannote[604].speaker SPEAKER_15
transcript.pyannote[604].start 4319.96346875
transcript.pyannote[604].end 4320.33471875
transcript.pyannote[605].speaker SPEAKER_23
transcript.pyannote[605].start 4320.68909375
transcript.pyannote[605].end 4323.62534375
transcript.pyannote[606].speaker SPEAKER_23
transcript.pyannote[606].start 4324.21596875
transcript.pyannote[606].end 4327.27034375
transcript.pyannote[607].speaker SPEAKER_23
transcript.pyannote[607].start 4328.53596875
transcript.pyannote[607].end 4329.80159375
transcript.pyannote[608].speaker SPEAKER_23
transcript.pyannote[608].start 4330.96596875
transcript.pyannote[608].end 4332.31596875
transcript.pyannote[609].speaker SPEAKER_23
transcript.pyannote[609].start 4334.49284375
transcript.pyannote[609].end 4335.03284375
transcript.pyannote[610].speaker SPEAKER_23
transcript.pyannote[610].start 4335.53909375
transcript.pyannote[610].end 4337.96909375
transcript.pyannote[611].speaker SPEAKER_23
transcript.pyannote[611].start 4339.53846875
transcript.pyannote[611].end 4341.02346875
transcript.pyannote[612].speaker SPEAKER_23
transcript.pyannote[612].start 4341.61409375
transcript.pyannote[612].end 4342.39034375
transcript.pyannote[613].speaker SPEAKER_23
transcript.pyannote[613].start 4344.01034375
transcript.pyannote[613].end 4345.42784375
transcript.pyannote[614].speaker SPEAKER_23
transcript.pyannote[614].start 4347.92534375
transcript.pyannote[614].end 4350.05159375
transcript.pyannote[615].speaker SPEAKER_23
transcript.pyannote[615].start 4350.77721875
transcript.pyannote[615].end 4351.73909375
transcript.pyannote[616].speaker SPEAKER_23
transcript.pyannote[616].start 4351.78971875
transcript.pyannote[616].end 4352.98784375
transcript.pyannote[617].speaker SPEAKER_23
transcript.pyannote[617].start 4353.89909375
transcript.pyannote[617].end 4355.13096875
transcript.pyannote[618].speaker SPEAKER_23
transcript.pyannote[618].start 4356.51471875
transcript.pyannote[618].end 4359.63659375
transcript.pyannote[619].speaker SPEAKER_23
transcript.pyannote[619].start 4359.82221875
transcript.pyannote[619].end 4361.03721875
transcript.pyannote[620].speaker SPEAKER_23
transcript.pyannote[620].start 4362.75846875
transcript.pyannote[620].end 4363.50096875
transcript.pyannote[621].speaker SPEAKER_23
transcript.pyannote[621].start 4363.72034375
transcript.pyannote[621].end 4364.81721875
transcript.pyannote[622].speaker SPEAKER_23
transcript.pyannote[622].start 4365.32346875
transcript.pyannote[622].end 4367.61846875
transcript.pyannote[623].speaker SPEAKER_23
transcript.pyannote[623].start 4369.59284375
transcript.pyannote[623].end 4371.09471875
transcript.pyannote[624].speaker SPEAKER_23
transcript.pyannote[624].start 4372.14096875
transcript.pyannote[624].end 4373.06909375
transcript.pyannote[625].speaker SPEAKER_23
transcript.pyannote[625].start 4374.41909375
transcript.pyannote[625].end 4376.88284375
transcript.pyannote[626].speaker SPEAKER_23
transcript.pyannote[626].start 4378.68846875
transcript.pyannote[626].end 4380.89909375
transcript.pyannote[627].speaker SPEAKER_23
transcript.pyannote[627].start 4381.52346875
transcript.pyannote[627].end 4382.48534375
transcript.pyannote[628].speaker SPEAKER_15
transcript.pyannote[628].start 4382.77221875
transcript.pyannote[628].end 4394.14596875
transcript.pyannote[629].speaker SPEAKER_23
transcript.pyannote[629].start 4391.98596875
transcript.pyannote[629].end 4393.87596875
transcript.pyannote[630].speaker SPEAKER_23
transcript.pyannote[630].start 4394.04471875
transcript.pyannote[630].end 4405.77284375
transcript.pyannote[631].speaker SPEAKER_15
transcript.pyannote[631].start 4395.95159375
transcript.pyannote[631].end 4396.50846875
transcript.pyannote[632].speaker SPEAKER_15
transcript.pyannote[632].start 4398.04409375
transcript.pyannote[632].end 4399.93409375
transcript.pyannote[633].speaker SPEAKER_23
transcript.pyannote[633].start 4406.78534375
transcript.pyannote[633].end 4410.54846875
transcript.pyannote[634].speaker SPEAKER_15
transcript.pyannote[634].start 4407.32534375
transcript.pyannote[634].end 4407.51096875
transcript.pyannote[635].speaker SPEAKER_15
transcript.pyannote[635].start 4407.61221875
transcript.pyannote[635].end 4408.69221875
transcript.pyannote[636].speaker SPEAKER_23
transcript.pyannote[636].start 4411.69596875
transcript.pyannote[636].end 4415.77971875
transcript.pyannote[637].speaker SPEAKER_23
transcript.pyannote[637].start 4417.19721875
transcript.pyannote[637].end 4418.15909375
transcript.pyannote[638].speaker SPEAKER_23
transcript.pyannote[638].start 4418.76659375
transcript.pyannote[638].end 4420.57221875
transcript.pyannote[639].speaker SPEAKER_23
transcript.pyannote[639].start 4420.84221875
transcript.pyannote[639].end 4423.91346875
transcript.pyannote[640].speaker SPEAKER_23
transcript.pyannote[640].start 4423.93034375
transcript.pyannote[640].end 4428.35159375
transcript.pyannote[641].speaker SPEAKER_23
transcript.pyannote[641].start 4429.68471875
transcript.pyannote[641].end 4432.23284375
transcript.pyannote[642].speaker SPEAKER_23
transcript.pyannote[642].start 4433.46471875
transcript.pyannote[642].end 4437.19409375
transcript.pyannote[643].speaker SPEAKER_23
transcript.pyannote[643].start 4438.07159375
transcript.pyannote[643].end 4438.76346875
transcript.pyannote[644].speaker SPEAKER_23
transcript.pyannote[644].start 4439.01659375
transcript.pyannote[644].end 4442.42534375
transcript.pyannote[645].speaker SPEAKER_23
transcript.pyannote[645].start 4442.98221875
transcript.pyannote[645].end 4453.96784375
transcript.pyannote[646].speaker SPEAKER_23
transcript.pyannote[646].start 4454.92971875
transcript.pyannote[646].end 4457.52846875
transcript.pyannote[647].speaker SPEAKER_15
transcript.pyannote[647].start 4455.06471875
transcript.pyannote[647].end 4455.77346875
transcript.pyannote[648].speaker SPEAKER_15
transcript.pyannote[648].start 4456.34721875
transcript.pyannote[648].end 4457.64659375
transcript.pyannote[649].speaker SPEAKER_23
transcript.pyannote[649].start 4457.64659375
transcript.pyannote[649].end 4457.71409375
transcript.pyannote[650].speaker SPEAKER_15
transcript.pyannote[650].start 4457.71409375
transcript.pyannote[650].end 4457.76471875
transcript.pyannote[651].speaker SPEAKER_15
transcript.pyannote[651].start 4457.84909375
transcript.pyannote[651].end 4459.03034375
transcript.pyannote[652].speaker SPEAKER_23
transcript.pyannote[652].start 4458.11909375
transcript.pyannote[652].end 4459.16534375
transcript.pyannote[653].speaker SPEAKER_23
transcript.pyannote[653].start 4459.65471875
transcript.pyannote[653].end 4461.22409375
transcript.pyannote[654].speaker SPEAKER_23
transcript.pyannote[654].start 4462.15221875
transcript.pyannote[654].end 4474.15034375
transcript.pyannote[655].speaker SPEAKER_23
transcript.pyannote[655].start 4474.30221875
transcript.pyannote[655].end 4480.90034375
transcript.pyannote[656].speaker SPEAKER_21
transcript.pyannote[656].start 4480.96784375
transcript.pyannote[656].end 4484.10659375
transcript.pyannote[657].speaker SPEAKER_21
transcript.pyannote[657].start 4484.34284375
transcript.pyannote[657].end 4485.00096875
transcript.pyannote[658].speaker SPEAKER_21
transcript.pyannote[658].start 4486.13159375
transcript.pyannote[658].end 4486.58721875
transcript.pyannote[659].speaker SPEAKER_21
transcript.pyannote[659].start 4488.27471875
transcript.pyannote[659].end 4489.40534375
transcript.pyannote[660].speaker SPEAKER_21
transcript.pyannote[660].start 4490.33346875
transcript.pyannote[660].end 4490.75534375
transcript.pyannote[661].speaker SPEAKER_21
transcript.pyannote[661].start 4491.41346875
transcript.pyannote[661].end 4492.24034375
transcript.pyannote[662].speaker SPEAKER_29
transcript.pyannote[662].start 4492.59471875
transcript.pyannote[662].end 4492.81409375
transcript.pyannote[663].speaker SPEAKER_09
transcript.pyannote[663].start 4505.99346875
transcript.pyannote[663].end 4508.20409375
transcript.pyannote[664].speaker SPEAKER_21
transcript.pyannote[664].start 4508.72721875
transcript.pyannote[664].end 4509.89159375
transcript.pyannote[665].speaker SPEAKER_15
transcript.pyannote[665].start 4517.83971875
transcript.pyannote[665].end 4517.92409375
transcript.pyannote[666].speaker SPEAKER_09
transcript.pyannote[666].start 4517.92409375
transcript.pyannote[666].end 4517.94096875
transcript.pyannote[667].speaker SPEAKER_15
transcript.pyannote[667].start 4517.94096875
transcript.pyannote[667].end 4517.95784375
transcript.pyannote[668].speaker SPEAKER_09
transcript.pyannote[668].start 4517.95784375
transcript.pyannote[668].end 4518.04221875
transcript.pyannote[669].speaker SPEAKER_15
transcript.pyannote[669].start 4518.04221875
transcript.pyannote[669].end 4518.27846875
transcript.pyannote[670].speaker SPEAKER_09
transcript.pyannote[670].start 4518.27846875
transcript.pyannote[670].end 4518.31221875
transcript.pyannote[671].speaker SPEAKER_09
transcript.pyannote[671].start 4518.56534375
transcript.pyannote[671].end 4531.00221875
transcript.pyannote[672].speaker SPEAKER_15
transcript.pyannote[672].start 4532.67284375
transcript.pyannote[672].end 4534.66409375
transcript.pyannote[673].speaker SPEAKER_09
transcript.pyannote[673].start 4535.08596875
transcript.pyannote[673].end 4536.79034375
transcript.pyannote[674].speaker SPEAKER_15
transcript.pyannote[674].start 4536.45284375
transcript.pyannote[674].end 4540.48596875
transcript.pyannote[675].speaker SPEAKER_09
transcript.pyannote[675].start 4539.37221875
transcript.pyannote[675].end 4544.55284375
transcript.pyannote[676].speaker SPEAKER_15
transcript.pyannote[676].start 4543.47284375
transcript.pyannote[676].end 4543.77659375
transcript.pyannote[677].speaker SPEAKER_09
transcript.pyannote[677].start 4545.17721875
transcript.pyannote[677].end 4550.30721875
transcript.pyannote[678].speaker SPEAKER_09
transcript.pyannote[678].start 4550.71221875
transcript.pyannote[678].end 4552.56846875
transcript.pyannote[679].speaker SPEAKER_09
transcript.pyannote[679].start 4553.09159375
transcript.pyannote[679].end 4554.55971875
transcript.pyannote[680].speaker SPEAKER_09
transcript.pyannote[680].start 4555.13346875
transcript.pyannote[680].end 4556.41596875
transcript.pyannote[681].speaker SPEAKER_15
transcript.pyannote[681].start 4556.75346875
transcript.pyannote[681].end 4557.44534375
transcript.pyannote[682].speaker SPEAKER_09
transcript.pyannote[682].start 4557.79971875
transcript.pyannote[682].end 4562.79471875
transcript.pyannote[683].speaker SPEAKER_15
transcript.pyannote[683].start 4564.16159375
transcript.pyannote[683].end 4567.87409375
transcript.pyannote[684].speaker SPEAKER_15
transcript.pyannote[684].start 4568.48159375
transcript.pyannote[684].end 4570.06784375
transcript.pyannote[685].speaker SPEAKER_15
transcript.pyannote[685].start 4570.62471875
transcript.pyannote[685].end 4572.29534375
transcript.pyannote[686].speaker SPEAKER_15
transcript.pyannote[686].start 4572.93659375
transcript.pyannote[686].end 4574.55659375
transcript.pyannote[687].speaker SPEAKER_15
transcript.pyannote[687].start 4574.91096875
transcript.pyannote[687].end 4579.51784375
transcript.pyannote[688].speaker SPEAKER_15
transcript.pyannote[688].start 4579.80471875
transcript.pyannote[688].end 4585.94721875
transcript.pyannote[689].speaker SPEAKER_15
transcript.pyannote[689].start 4586.87534375
transcript.pyannote[689].end 4593.87846875
transcript.pyannote[690].speaker SPEAKER_15
transcript.pyannote[690].start 4594.55346875
transcript.pyannote[690].end 4596.66284375
transcript.pyannote[691].speaker SPEAKER_15
transcript.pyannote[691].start 4596.98346875
transcript.pyannote[691].end 4599.70034375
transcript.pyannote[692].speaker SPEAKER_15
transcript.pyannote[692].start 4599.83534375
transcript.pyannote[692].end 4604.57721875
transcript.pyannote[693].speaker SPEAKER_15
transcript.pyannote[693].start 4605.03284375
transcript.pyannote[693].end 4607.02409375
transcript.pyannote[694].speaker SPEAKER_15
transcript.pyannote[694].start 4607.51346875
transcript.pyannote[694].end 4612.50846875
transcript.pyannote[695].speaker SPEAKER_28
transcript.pyannote[695].start 4612.59284375
transcript.pyannote[695].end 4613.04846875
transcript.pyannote[696].speaker SPEAKER_15
transcript.pyannote[696].start 4613.70659375
transcript.pyannote[696].end 4620.16971875
transcript.pyannote[697].speaker SPEAKER_15
transcript.pyannote[697].start 4620.76034375
transcript.pyannote[697].end 4620.77721875
transcript.pyannote[698].speaker SPEAKER_09
transcript.pyannote[698].start 4620.77721875
transcript.pyannote[698].end 4627.79721875
transcript.pyannote[699].speaker SPEAKER_15
transcript.pyannote[699].start 4620.82784375
transcript.pyannote[699].end 4621.24971875
transcript.pyannote[700].speaker SPEAKER_09
transcript.pyannote[700].start 4628.13471875
transcript.pyannote[700].end 4644.09846875
transcript.pyannote[701].speaker SPEAKER_15
transcript.pyannote[701].start 4644.41909375
transcript.pyannote[701].end 4657.44659375
transcript.pyannote[702].speaker SPEAKER_09
transcript.pyannote[702].start 4644.50346875
transcript.pyannote[702].end 4644.95909375
transcript.pyannote[703].speaker SPEAKER_15
transcript.pyannote[703].start 4657.69971875
transcript.pyannote[703].end 4682.97846875
transcript.pyannote[704].speaker SPEAKER_15
transcript.pyannote[704].start 4683.28221875
transcript.pyannote[704].end 4686.33659375
transcript.pyannote[705].speaker SPEAKER_15
transcript.pyannote[705].start 4686.91034375
transcript.pyannote[705].end 4709.25284375
transcript.pyannote[706].speaker SPEAKER_28
transcript.pyannote[706].start 4709.25284375
transcript.pyannote[706].end 4709.86034375
transcript.pyannote[707].speaker SPEAKER_15
transcript.pyannote[707].start 4709.52284375
transcript.pyannote[707].end 4725.65534375
transcript.pyannote[708].speaker SPEAKER_09
transcript.pyannote[708].start 4726.19534375
transcript.pyannote[708].end 4734.41346875
transcript.pyannote[709].speaker SPEAKER_09
transcript.pyannote[709].start 4735.12221875
transcript.pyannote[709].end 4750.64721875
transcript.pyannote[710].speaker SPEAKER_06
transcript.pyannote[710].start 4750.64721875
transcript.pyannote[710].end 4751.00159375
transcript.pyannote[711].speaker SPEAKER_09
transcript.pyannote[711].start 4751.00159375
transcript.pyannote[711].end 4762.32471875
transcript.pyannote[712].speaker SPEAKER_15
transcript.pyannote[712].start 4762.83096875
transcript.pyannote[712].end 4772.61846875
transcript.pyannote[713].speaker SPEAKER_15
transcript.pyannote[713].start 4773.41159375
transcript.pyannote[713].end 4776.71909375
transcript.pyannote[714].speaker SPEAKER_15
transcript.pyannote[714].start 4777.17471875
transcript.pyannote[714].end 4780.71846875
transcript.pyannote[715].speaker SPEAKER_09
transcript.pyannote[715].start 4780.61721875
transcript.pyannote[715].end 4781.08971875
transcript.pyannote[716].speaker SPEAKER_09
transcript.pyannote[716].start 4781.24159375
transcript.pyannote[716].end 4784.88659375
transcript.pyannote[717].speaker SPEAKER_09
transcript.pyannote[717].start 4785.44346875
transcript.pyannote[717].end 4786.38846875
transcript.pyannote[718].speaker SPEAKER_09
transcript.pyannote[718].start 4786.92846875
transcript.pyannote[718].end 4793.03721875
transcript.pyannote[719].speaker SPEAKER_09
transcript.pyannote[719].start 4793.39159375
transcript.pyannote[719].end 4806.41909375
transcript.pyannote[720].speaker SPEAKER_09
transcript.pyannote[720].start 4807.09409375
transcript.pyannote[720].end 4808.86596875
transcript.pyannote[721].speaker SPEAKER_15
transcript.pyannote[721].start 4810.33409375
transcript.pyannote[721].end 4827.32721875
transcript.pyannote[722].speaker SPEAKER_15
transcript.pyannote[722].start 4827.49596875
transcript.pyannote[722].end 4831.44471875
transcript.pyannote[723].speaker SPEAKER_09
transcript.pyannote[723].start 4828.01909375
transcript.pyannote[723].end 4830.49971875
transcript.pyannote[724].speaker SPEAKER_09
transcript.pyannote[724].start 4831.14096875
transcript.pyannote[724].end 4836.49034375
transcript.pyannote[725].speaker SPEAKER_15
transcript.pyannote[725].start 4836.49034375
transcript.pyannote[725].end 4839.73034375
transcript.pyannote[726].speaker SPEAKER_09
transcript.pyannote[726].start 4838.16096875
transcript.pyannote[726].end 4869.81846875
transcript.pyannote[727].speaker SPEAKER_00
transcript.pyannote[727].start 4850.51346875
transcript.pyannote[727].end 4850.73284375
transcript.pyannote[728].speaker SPEAKER_04
transcript.pyannote[728].start 4861.87034375
transcript.pyannote[728].end 4862.96721875
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 4862.96721875
transcript.pyannote[729].end 4863.40596875
transcript.pyannote[730].speaker SPEAKER_15
transcript.pyannote[730].start 4863.92909375
transcript.pyannote[730].end 4864.33409375
transcript.pyannote[731].speaker SPEAKER_15
transcript.pyannote[731].start 4868.87346875
transcript.pyannote[731].end 4882.18784375
transcript.pyannote[732].speaker SPEAKER_09
transcript.pyannote[732].start 4874.42534375
transcript.pyannote[732].end 4874.50971875
transcript.pyannote[733].speaker SPEAKER_28
transcript.pyannote[733].start 4877.32784375
transcript.pyannote[733].end 4877.64846875
transcript.pyannote[734].speaker SPEAKER_28
transcript.pyannote[734].start 4882.10346875
transcript.pyannote[734].end 4882.57596875
transcript.pyannote[735].speaker SPEAKER_15
transcript.pyannote[735].start 4882.54221875
transcript.pyannote[735].end 4899.29909375
transcript.pyannote[736].speaker SPEAKER_28
transcript.pyannote[736].start 4888.98846875
transcript.pyannote[736].end 4889.83221875
transcript.pyannote[737].speaker SPEAKER_15
transcript.pyannote[737].start 4899.55221875
transcript.pyannote[737].end 4900.73346875
transcript.pyannote[738].speaker SPEAKER_09
transcript.pyannote[738].start 4899.80534375
transcript.pyannote[738].end 4910.04846875
transcript.pyannote[739].speaker SPEAKER_15
transcript.pyannote[739].start 4907.85471875
transcript.pyannote[739].end 4922.46846875
transcript.pyannote[740].speaker SPEAKER_09
transcript.pyannote[740].start 4913.87909375
transcript.pyannote[740].end 4914.57096875
transcript.pyannote[741].speaker SPEAKER_29
transcript.pyannote[741].start 4917.74346875
transcript.pyannote[741].end 4917.76034375
transcript.pyannote[742].speaker SPEAKER_09
transcript.pyannote[742].start 4917.76034375
transcript.pyannote[742].end 4917.79409375
transcript.pyannote[743].speaker SPEAKER_29
transcript.pyannote[743].start 4917.79409375
transcript.pyannote[743].end 4917.82784375
transcript.pyannote[744].speaker SPEAKER_09
transcript.pyannote[744].start 4917.82784375
transcript.pyannote[744].end 4917.87846875
transcript.pyannote[745].speaker SPEAKER_09
transcript.pyannote[745].start 4922.46846875
transcript.pyannote[745].end 4927.68284375
transcript.pyannote[746].speaker SPEAKER_15
transcript.pyannote[746].start 4923.98721875
transcript.pyannote[746].end 4924.86471875
transcript.pyannote[747].speaker SPEAKER_09
transcript.pyannote[747].start 4928.08784375
transcript.pyannote[747].end 4933.03221875
transcript.pyannote[748].speaker SPEAKER_15
transcript.pyannote[748].start 4933.03221875
transcript.pyannote[748].end 4933.35284375
transcript.pyannote[749].speaker SPEAKER_09
transcript.pyannote[749].start 4933.69034375
transcript.pyannote[749].end 4933.72409375
transcript.pyannote[750].speaker SPEAKER_15
transcript.pyannote[750].start 4933.72409375
transcript.pyannote[750].end 4934.51721875
transcript.pyannote[751].speaker SPEAKER_09
transcript.pyannote[751].start 4933.84221875
transcript.pyannote[751].end 4934.38221875
transcript.pyannote[752].speaker SPEAKER_15
transcript.pyannote[752].start 4934.78721875
transcript.pyannote[752].end 4938.17909375
transcript.pyannote[753].speaker SPEAKER_15
transcript.pyannote[753].start 4938.26346875
transcript.pyannote[753].end 4940.32221875
transcript.pyannote[754].speaker SPEAKER_15
transcript.pyannote[754].start 4940.81159375
transcript.pyannote[754].end 4953.87284375
transcript.pyannote[755].speaker SPEAKER_15
transcript.pyannote[755].start 4953.90659375
transcript.pyannote[755].end 4958.32784375
transcript.pyannote[756].speaker SPEAKER_09
transcript.pyannote[756].start 4954.21034375
transcript.pyannote[756].end 4960.74096875
transcript.pyannote[757].speaker SPEAKER_15
transcript.pyannote[757].start 4960.65659375
transcript.pyannote[757].end 4961.88846875
transcript.pyannote[758].speaker SPEAKER_09
transcript.pyannote[758].start 4961.68596875
transcript.pyannote[758].end 4966.68096875
transcript.pyannote[759].speaker SPEAKER_15
transcript.pyannote[759].start 4965.76971875
transcript.pyannote[759].end 4974.08909375
transcript.pyannote[760].speaker SPEAKER_09
transcript.pyannote[760].start 4966.98471875
transcript.pyannote[760].end 4967.86221875
transcript.pyannote[761].speaker SPEAKER_09
transcript.pyannote[761].start 4968.09846875
transcript.pyannote[761].end 4968.63846875
transcript.pyannote[762].speaker SPEAKER_15
transcript.pyannote[762].start 4974.59534375
transcript.pyannote[762].end 4987.57221875
transcript.pyannote[763].speaker SPEAKER_09
transcript.pyannote[763].start 4985.09159375
transcript.pyannote[763].end 4987.11659375
transcript.pyannote[764].speaker SPEAKER_09
transcript.pyannote[764].start 4987.57221875
transcript.pyannote[764].end 4990.59284375
transcript.pyannote[765].speaker SPEAKER_09
transcript.pyannote[765].start 4990.84596875
transcript.pyannote[765].end 4992.01034375
transcript.pyannote[766].speaker SPEAKER_09
transcript.pyannote[766].start 4992.26346875
transcript.pyannote[766].end 4997.10659375
transcript.pyannote[767].speaker SPEAKER_09
transcript.pyannote[767].start 4997.56221875
transcript.pyannote[767].end 4998.65909375
transcript.pyannote[768].speaker SPEAKER_09
transcript.pyannote[768].start 4999.28346875
transcript.pyannote[768].end 5000.54909375
transcript.pyannote[769].speaker SPEAKER_09
transcript.pyannote[769].start 5000.66721875
transcript.pyannote[769].end 5001.39284375
transcript.pyannote[770].speaker SPEAKER_09
transcript.pyannote[770].start 5001.64596875
transcript.pyannote[770].end 5001.66284375
transcript.pyannote[771].speaker SPEAKER_15
transcript.pyannote[771].start 5001.66284375
transcript.pyannote[771].end 5007.28221875
transcript.pyannote[772].speaker SPEAKER_09
transcript.pyannote[772].start 5002.03409375
transcript.pyannote[772].end 5002.77659375
transcript.pyannote[773].speaker SPEAKER_15
transcript.pyannote[773].start 5007.60284375
transcript.pyannote[773].end 5008.95284375
transcript.pyannote[774].speaker SPEAKER_09
transcript.pyannote[774].start 5010.23534375
transcript.pyannote[774].end 5011.85534375
transcript.pyannote[775].speaker SPEAKER_15
transcript.pyannote[775].start 5011.85534375
transcript.pyannote[775].end 5013.47534375
transcript.pyannote[776].speaker SPEAKER_09
transcript.pyannote[776].start 5013.57659375
transcript.pyannote[776].end 5015.58471875
transcript.pyannote[777].speaker SPEAKER_15
transcript.pyannote[777].start 5015.07846875
transcript.pyannote[777].end 5027.48159375
transcript.pyannote[778].speaker SPEAKER_09
transcript.pyannote[778].start 5026.70534375
transcript.pyannote[778].end 5035.39596875
transcript.pyannote[779].speaker SPEAKER_15
transcript.pyannote[779].start 5035.05846875
transcript.pyannote[779].end 5040.25596875
transcript.pyannote[780].speaker SPEAKER_09
transcript.pyannote[780].start 5040.66096875
transcript.pyannote[780].end 5041.03221875
transcript.pyannote[781].speaker SPEAKER_09
transcript.pyannote[781].start 5041.09971875
transcript.pyannote[781].end 5042.14596875
transcript.pyannote[782].speaker SPEAKER_15
transcript.pyannote[782].start 5042.21346875
transcript.pyannote[782].end 5043.02346875
transcript.pyannote[783].speaker SPEAKER_21
transcript.pyannote[783].start 5045.14971875
transcript.pyannote[783].end 5048.67659375
transcript.pyannote[784].speaker SPEAKER_21
transcript.pyannote[784].start 5050.02659375
transcript.pyannote[784].end 5052.64221875
transcript.pyannote[785].speaker SPEAKER_07
transcript.pyannote[785].start 5062.37909375
transcript.pyannote[785].end 5065.31534375
transcript.pyannote[786].speaker SPEAKER_07
transcript.pyannote[786].start 5065.34909375
transcript.pyannote[786].end 5065.77096875
transcript.pyannote[787].speaker SPEAKER_21
transcript.pyannote[787].start 5066.31096875
transcript.pyannote[787].end 5067.89721875
transcript.pyannote[788].speaker SPEAKER_07
transcript.pyannote[788].start 5068.50471875
transcript.pyannote[788].end 5070.22596875
transcript.pyannote[789].speaker SPEAKER_21
transcript.pyannote[789].start 5070.54659375
transcript.pyannote[789].end 5071.87971875
transcript.pyannote[790].speaker SPEAKER_21
transcript.pyannote[790].start 5075.62596875
transcript.pyannote[790].end 5076.16596875
transcript.pyannote[791].speaker SPEAKER_24
transcript.pyannote[791].start 5076.16596875
transcript.pyannote[791].end 5076.19971875
transcript.pyannote[792].speaker SPEAKER_07
transcript.pyannote[792].start 5076.35159375
transcript.pyannote[792].end 5077.16159375
transcript.pyannote[793].speaker SPEAKER_07
transcript.pyannote[793].start 5077.68471875
transcript.pyannote[793].end 5085.31221875
transcript.pyannote[794].speaker SPEAKER_07
transcript.pyannote[794].start 5085.58221875
transcript.pyannote[794].end 5094.01971875
transcript.pyannote[795].speaker SPEAKER_07
transcript.pyannote[795].start 5094.12096875
transcript.pyannote[795].end 5095.55534375
transcript.pyannote[796].speaker SPEAKER_07
transcript.pyannote[796].start 5095.89284375
transcript.pyannote[796].end 5101.07346875
transcript.pyannote[797].speaker SPEAKER_07
transcript.pyannote[797].start 5101.46159375
transcript.pyannote[797].end 5139.22784375
transcript.pyannote[798].speaker SPEAKER_00
transcript.pyannote[798].start 5126.43659375
transcript.pyannote[798].end 5127.01034375
transcript.pyannote[799].speaker SPEAKER_07
transcript.pyannote[799].start 5139.44721875
transcript.pyannote[799].end 5163.81471875
transcript.pyannote[800].speaker SPEAKER_07
transcript.pyannote[800].start 5163.98346875
transcript.pyannote[800].end 5169.88971875
transcript.pyannote[801].speaker SPEAKER_07
transcript.pyannote[801].start 5170.37909375
transcript.pyannote[801].end 5177.07846875
transcript.pyannote[802].speaker SPEAKER_09
transcript.pyannote[802].start 5173.61909375
transcript.pyannote[802].end 5174.36159375
transcript.pyannote[803].speaker SPEAKER_15
transcript.pyannote[803].start 5174.36159375
transcript.pyannote[803].end 5174.37846875
transcript.pyannote[804].speaker SPEAKER_09
transcript.pyannote[804].start 5174.37846875
transcript.pyannote[804].end 5174.39534375
transcript.pyannote[805].speaker SPEAKER_07
transcript.pyannote[805].start 5177.70284375
transcript.pyannote[805].end 5178.86721875
transcript.pyannote[806].speaker SPEAKER_15
transcript.pyannote[806].start 5181.49971875
transcript.pyannote[806].end 5184.03096875
transcript.pyannote[807].speaker SPEAKER_07
transcript.pyannote[807].start 5184.58784375
transcript.pyannote[807].end 5192.53596875
transcript.pyannote[808].speaker SPEAKER_15
transcript.pyannote[808].start 5185.02659375
transcript.pyannote[808].end 5185.27971875
transcript.pyannote[809].speaker SPEAKER_15
transcript.pyannote[809].start 5190.56159375
transcript.pyannote[809].end 5192.51909375
transcript.pyannote[810].speaker SPEAKER_15
transcript.pyannote[810].start 5192.53596875
transcript.pyannote[810].end 5192.56971875
transcript.pyannote[811].speaker SPEAKER_07
transcript.pyannote[811].start 5192.56971875
transcript.pyannote[811].end 5192.58659375
transcript.pyannote[812].speaker SPEAKER_15
transcript.pyannote[812].start 5192.58659375
transcript.pyannote[812].end 5196.26534375
transcript.pyannote[813].speaker SPEAKER_15
transcript.pyannote[813].start 5196.72096875
transcript.pyannote[813].end 5198.76284375
transcript.pyannote[814].speaker SPEAKER_07
transcript.pyannote[814].start 5199.45471875
transcript.pyannote[814].end 5203.57221875
transcript.pyannote[815].speaker SPEAKER_15
transcript.pyannote[815].start 5201.32784375
transcript.pyannote[815].end 5202.28971875
transcript.pyannote[816].speaker SPEAKER_35
transcript.pyannote[816].start 5205.88409375
transcript.pyannote[816].end 5209.93409375
transcript.pyannote[817].speaker SPEAKER_35
transcript.pyannote[817].start 5210.49096875
transcript.pyannote[817].end 5215.01346875
transcript.pyannote[818].speaker SPEAKER_07
transcript.pyannote[818].start 5214.72659375
transcript.pyannote[818].end 5220.12659375
transcript.pyannote[819].speaker SPEAKER_35
transcript.pyannote[819].start 5220.26159375
transcript.pyannote[819].end 5222.67471875
transcript.pyannote[820].speaker SPEAKER_07
transcript.pyannote[820].start 5222.97846875
transcript.pyannote[820].end 5223.38346875
transcript.pyannote[821].speaker SPEAKER_07
transcript.pyannote[821].start 5223.55221875
transcript.pyannote[821].end 5224.14284375
transcript.pyannote[822].speaker SPEAKER_07
transcript.pyannote[822].start 5224.34534375
transcript.pyannote[822].end 5226.40409375
transcript.pyannote[823].speaker SPEAKER_07
transcript.pyannote[823].start 5226.96096875
transcript.pyannote[823].end 5241.23721875
transcript.pyannote[824].speaker SPEAKER_07
transcript.pyannote[824].start 5241.64221875
transcript.pyannote[824].end 5257.01534375
transcript.pyannote[825].speaker SPEAKER_07
transcript.pyannote[825].start 5257.60596875
transcript.pyannote[825].end 5258.24721875
transcript.pyannote[826].speaker SPEAKER_07
transcript.pyannote[826].start 5259.42846875
transcript.pyannote[826].end 5265.73971875
transcript.pyannote[827].speaker SPEAKER_07
transcript.pyannote[827].start 5265.92534375
transcript.pyannote[827].end 5270.78534375
transcript.pyannote[828].speaker SPEAKER_07
transcript.pyannote[828].start 5271.39284375
transcript.pyannote[828].end 5307.92721875
transcript.pyannote[829].speaker SPEAKER_15
transcript.pyannote[829].start 5307.47159375
transcript.pyannote[829].end 5311.84221875
transcript.pyannote[830].speaker SPEAKER_15
transcript.pyannote[830].start 5312.44971875
transcript.pyannote[830].end 5320.12784375
transcript.pyannote[831].speaker SPEAKER_07
transcript.pyannote[831].start 5316.14534375
transcript.pyannote[831].end 5316.36471875
transcript.pyannote[832].speaker SPEAKER_07
transcript.pyannote[832].start 5320.12784375
transcript.pyannote[832].end 5345.03534375
transcript.pyannote[833].speaker SPEAKER_15
transcript.pyannote[833].start 5344.95096875
transcript.pyannote[833].end 5346.38534375
transcript.pyannote[834].speaker SPEAKER_07
transcript.pyannote[834].start 5346.46971875
transcript.pyannote[834].end 5346.80721875
transcript.pyannote[835].speaker SPEAKER_07
transcript.pyannote[835].start 5347.36409375
transcript.pyannote[835].end 5350.28346875
transcript.pyannote[836].speaker SPEAKER_07
transcript.pyannote[836].start 5351.00909375
transcript.pyannote[836].end 5353.65846875
transcript.pyannote[837].speaker SPEAKER_07
transcript.pyannote[837].start 5354.13096875
transcript.pyannote[837].end 5356.12221875
transcript.pyannote[838].speaker SPEAKER_15
transcript.pyannote[838].start 5357.99534375
transcript.pyannote[838].end 5358.83909375
transcript.pyannote[839].speaker SPEAKER_07
transcript.pyannote[839].start 5358.29909375
transcript.pyannote[839].end 5361.99471875
transcript.pyannote[840].speaker SPEAKER_15
transcript.pyannote[840].start 5359.36221875
transcript.pyannote[840].end 5359.91909375
transcript.pyannote[841].speaker SPEAKER_15
transcript.pyannote[841].start 5360.47596875
transcript.pyannote[841].end 5360.72909375
transcript.pyannote[842].speaker SPEAKER_15
transcript.pyannote[842].start 5361.85971875
transcript.pyannote[842].end 5362.26471875
transcript.pyannote[843].speaker SPEAKER_07
transcript.pyannote[843].start 5362.26471875
transcript.pyannote[843].end 5363.81721875
transcript.pyannote[844].speaker SPEAKER_07
transcript.pyannote[844].start 5364.01971875
transcript.pyannote[844].end 5368.45784375
transcript.pyannote[845].speaker SPEAKER_15
transcript.pyannote[845].start 5367.39471875
transcript.pyannote[845].end 5368.03596875
transcript.pyannote[846].speaker SPEAKER_07
transcript.pyannote[846].start 5368.84596875
transcript.pyannote[846].end 5373.90846875
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 5368.93034375
transcript.pyannote[847].end 5370.61784375
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 5373.43596875
transcript.pyannote[848].end 5374.56659375
transcript.pyannote[849].speaker SPEAKER_07
transcript.pyannote[849].start 5375.41034375
transcript.pyannote[849].end 5378.39721875
transcript.pyannote[850].speaker SPEAKER_15
transcript.pyannote[850].start 5376.77721875
transcript.pyannote[850].end 5377.09784375
transcript.pyannote[851].speaker SPEAKER_07
transcript.pyannote[851].start 5378.76846875
transcript.pyannote[851].end 5380.00034375
transcript.pyannote[852].speaker SPEAKER_15
transcript.pyannote[852].start 5380.42221875
transcript.pyannote[852].end 5380.43909375
transcript.pyannote[853].speaker SPEAKER_27
transcript.pyannote[853].start 5380.43909375
transcript.pyannote[853].end 5380.84409375
transcript.pyannote[854].speaker SPEAKER_15
transcript.pyannote[854].start 5380.84409375
transcript.pyannote[854].end 5380.86096875
transcript.pyannote[855].speaker SPEAKER_07
transcript.pyannote[855].start 5381.28284375
transcript.pyannote[855].end 5384.16846875
transcript.pyannote[856].speaker SPEAKER_27
transcript.pyannote[856].start 5385.09659375
transcript.pyannote[856].end 5387.69534375
transcript.pyannote[857].speaker SPEAKER_07
transcript.pyannote[857].start 5387.89784375
transcript.pyannote[857].end 5390.73284375
transcript.pyannote[858].speaker SPEAKER_27
transcript.pyannote[858].start 5388.60659375
transcript.pyannote[858].end 5389.24784375
transcript.pyannote[859].speaker SPEAKER_07
transcript.pyannote[859].start 5391.27284375
transcript.pyannote[859].end 5393.26409375
transcript.pyannote[860].speaker SPEAKER_27
transcript.pyannote[860].start 5393.97284375
transcript.pyannote[860].end 5394.37784375
transcript.pyannote[861].speaker SPEAKER_07
transcript.pyannote[861].start 5395.20471875
transcript.pyannote[861].end 5397.66846875
transcript.pyannote[862].speaker SPEAKER_27
transcript.pyannote[862].start 5397.02721875
transcript.pyannote[862].end 5400.89159375
transcript.pyannote[863].speaker SPEAKER_07
transcript.pyannote[863].start 5397.90471875
transcript.pyannote[863].end 5399.72721875
transcript.pyannote[864].speaker SPEAKER_27
transcript.pyannote[864].start 5401.26284375
transcript.pyannote[864].end 5404.31721875
transcript.pyannote[865].speaker SPEAKER_07
transcript.pyannote[865].start 5404.09784375
transcript.pyannote[865].end 5404.89096875
transcript.pyannote[866].speaker SPEAKER_07
transcript.pyannote[866].start 5404.99221875
transcript.pyannote[866].end 5405.49846875
transcript.pyannote[867].speaker SPEAKER_07
transcript.pyannote[867].start 5406.20721875
transcript.pyannote[867].end 5407.30409375
transcript.pyannote[868].speaker SPEAKER_07
transcript.pyannote[868].start 5407.52346875
transcript.pyannote[868].end 5409.24471875
transcript.pyannote[869].speaker SPEAKER_07
transcript.pyannote[869].start 5409.44721875
transcript.pyannote[869].end 5410.99971875
transcript.pyannote[870].speaker SPEAKER_07
transcript.pyannote[870].start 5411.21909375
transcript.pyannote[870].end 5412.75471875
transcript.pyannote[871].speaker SPEAKER_07
transcript.pyannote[871].start 5413.26096875
transcript.pyannote[871].end 5442.62346875
transcript.pyannote[872].speaker SPEAKER_07
transcript.pyannote[872].start 5443.82159375
transcript.pyannote[872].end 5445.61034375
transcript.pyannote[873].speaker SPEAKER_07
transcript.pyannote[873].start 5446.20096875
transcript.pyannote[873].end 5458.95846875
transcript.pyannote[874].speaker SPEAKER_07
transcript.pyannote[874].start 5459.21159375
transcript.pyannote[874].end 5462.63721875
transcript.pyannote[875].speaker SPEAKER_07
transcript.pyannote[875].start 5463.66659375
transcript.pyannote[875].end 5465.45534375
transcript.pyannote[876].speaker SPEAKER_07
transcript.pyannote[876].start 5465.89409375
transcript.pyannote[876].end 5467.69971875
transcript.pyannote[877].speaker SPEAKER_07
transcript.pyannote[877].start 5468.39159375
transcript.pyannote[877].end 5473.77471875
transcript.pyannote[878].speaker SPEAKER_07
transcript.pyannote[878].start 5474.33159375
transcript.pyannote[878].end 5478.22971875
transcript.pyannote[879].speaker SPEAKER_07
transcript.pyannote[879].start 5478.95534375
transcript.pyannote[879].end 5493.97409375
transcript.pyannote[880].speaker SPEAKER_07
transcript.pyannote[880].start 5494.24409375
transcript.pyannote[880].end 5512.58721875
transcript.pyannote[881].speaker SPEAKER_15
transcript.pyannote[881].start 5513.54909375
transcript.pyannote[881].end 5518.89846875
transcript.pyannote[882].speaker SPEAKER_15
transcript.pyannote[882].start 5519.20221875
transcript.pyannote[882].end 5523.72471875
transcript.pyannote[883].speaker SPEAKER_07
transcript.pyannote[883].start 5522.67846875
transcript.pyannote[883].end 5527.96034375
transcript.pyannote[884].speaker SPEAKER_15
transcript.pyannote[884].start 5527.74096875
transcript.pyannote[884].end 5534.92971875
transcript.pyannote[885].speaker SPEAKER_07
transcript.pyannote[885].start 5535.14909375
transcript.pyannote[885].end 5539.68846875
transcript.pyannote[886].speaker SPEAKER_07
transcript.pyannote[886].start 5539.90784375
transcript.pyannote[886].end 5539.95846875
transcript.pyannote[887].speaker SPEAKER_15
transcript.pyannote[887].start 5539.95846875
transcript.pyannote[887].end 5539.99221875
transcript.pyannote[888].speaker SPEAKER_07
transcript.pyannote[888].start 5539.99221875
transcript.pyannote[888].end 5545.35846875
transcript.pyannote[889].speaker SPEAKER_15
transcript.pyannote[889].start 5540.71784375
transcript.pyannote[889].end 5541.32534375
transcript.pyannote[890].speaker SPEAKER_15
transcript.pyannote[890].start 5543.21534375
transcript.pyannote[890].end 5543.99159375
transcript.pyannote[891].speaker SPEAKER_15
transcript.pyannote[891].start 5545.20659375
transcript.pyannote[891].end 5553.28971875
transcript.pyannote[892].speaker SPEAKER_07
transcript.pyannote[892].start 5550.67409375
transcript.pyannote[892].end 5565.11909375
transcript.pyannote[893].speaker SPEAKER_15
transcript.pyannote[893].start 5564.68034375
transcript.pyannote[893].end 5565.81096875
transcript.pyannote[894].speaker SPEAKER_07
transcript.pyannote[894].start 5566.03034375
transcript.pyannote[894].end 5566.46909375
transcript.pyannote[895].speaker SPEAKER_07
transcript.pyannote[895].start 5566.57034375
transcript.pyannote[895].end 5572.18971875
transcript.pyannote[896].speaker SPEAKER_24
transcript.pyannote[896].start 5572.18971875
transcript.pyannote[896].end 5573.15159375
transcript.pyannote[897].speaker SPEAKER_07
transcript.pyannote[897].start 5572.61159375
transcript.pyannote[897].end 5576.23971875
transcript.pyannote[898].speaker SPEAKER_07
transcript.pyannote[898].start 5576.72909375
transcript.pyannote[898].end 5583.04034375
transcript.pyannote[899].speaker SPEAKER_24
transcript.pyannote[899].start 5577.79221875
transcript.pyannote[899].end 5578.02846875
transcript.pyannote[900].speaker SPEAKER_30
transcript.pyannote[900].start 5578.02846875
transcript.pyannote[900].end 5578.41659375
transcript.pyannote[901].speaker SPEAKER_07
transcript.pyannote[901].start 5583.24284375
transcript.pyannote[901].end 5585.53784375
transcript.pyannote[902].speaker SPEAKER_30
transcript.pyannote[902].start 5585.13284375
transcript.pyannote[902].end 5585.63909375
transcript.pyannote[903].speaker SPEAKER_07
transcript.pyannote[903].start 5585.63909375
transcript.pyannote[903].end 5596.00034375
transcript.pyannote[904].speaker SPEAKER_30
transcript.pyannote[904].start 5589.80721875
transcript.pyannote[904].end 5589.97596875
transcript.pyannote[905].speaker SPEAKER_30
transcript.pyannote[905].start 5590.00971875
transcript.pyannote[905].end 5590.07721875
transcript.pyannote[906].speaker SPEAKER_07
transcript.pyannote[906].start 5596.43909375
transcript.pyannote[906].end 5598.85221875
transcript.pyannote[907].speaker SPEAKER_07
transcript.pyannote[907].start 5599.37534375
transcript.pyannote[907].end 5606.59784375
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 5600.37096875
transcript.pyannote[908].end 5600.43846875
transcript.pyannote[909].speaker SPEAKER_20
transcript.pyannote[909].start 5600.43846875
transcript.pyannote[909].end 5600.82659375
transcript.pyannote[910].speaker SPEAKER_21
transcript.pyannote[910].start 5603.40846875
transcript.pyannote[910].end 5604.58971875
transcript.pyannote[911].speaker SPEAKER_21
transcript.pyannote[911].start 5605.12971875
transcript.pyannote[911].end 5606.69909375
transcript.pyannote[912].speaker SPEAKER_21
transcript.pyannote[912].start 5607.61034375
transcript.pyannote[912].end 5608.33596875
transcript.pyannote[913].speaker SPEAKER_21
transcript.pyannote[913].start 5609.16284375
transcript.pyannote[913].end 5609.93909375
transcript.pyannote[914].speaker SPEAKER_21
transcript.pyannote[914].start 5610.31034375
transcript.pyannote[914].end 5610.98534375
transcript.pyannote[915].speaker SPEAKER_21
transcript.pyannote[915].start 5611.20471875
transcript.pyannote[915].end 5612.33534375
transcript.pyannote[916].speaker SPEAKER_21
transcript.pyannote[916].start 5613.19596875
transcript.pyannote[916].end 5613.82034375
transcript.pyannote[917].speaker SPEAKER_21
transcript.pyannote[917].start 5614.56284375
transcript.pyannote[917].end 5616.36846875
transcript.pyannote[918].speaker SPEAKER_21
transcript.pyannote[918].start 5618.34284375
transcript.pyannote[918].end 5619.74346875
transcript.pyannote[919].speaker SPEAKER_21
transcript.pyannote[919].start 5620.40159375
transcript.pyannote[919].end 5621.12721875
transcript.pyannote[920].speaker SPEAKER_21
transcript.pyannote[920].start 5624.09721875
transcript.pyannote[920].end 5625.66659375
transcript.pyannote[921].speaker SPEAKER_12
transcript.pyannote[921].start 5628.41721875
transcript.pyannote[921].end 5629.07534375
transcript.pyannote[922].speaker SPEAKER_12
transcript.pyannote[922].start 5630.34096875
transcript.pyannote[922].end 5630.56034375
transcript.pyannote[923].speaker SPEAKER_21
transcript.pyannote[923].start 5630.64471875
transcript.pyannote[923].end 5631.67409375
transcript.pyannote[924].speaker SPEAKER_21
transcript.pyannote[924].start 5638.28909375
transcript.pyannote[924].end 5638.30596875
transcript.pyannote[925].speaker SPEAKER_15
transcript.pyannote[925].start 5638.30596875
transcript.pyannote[925].end 5638.39034375
transcript.pyannote[926].speaker SPEAKER_12
transcript.pyannote[926].start 5638.39034375
transcript.pyannote[926].end 5638.45784375
transcript.pyannote[927].speaker SPEAKER_15
transcript.pyannote[927].start 5638.45784375
transcript.pyannote[927].end 5638.76159375
transcript.pyannote[928].speaker SPEAKER_12
transcript.pyannote[928].start 5638.96409375
transcript.pyannote[928].end 5639.33534375
transcript.pyannote[929].speaker SPEAKER_12
transcript.pyannote[929].start 5639.55471875
transcript.pyannote[929].end 5645.66346875
transcript.pyannote[930].speaker SPEAKER_12
transcript.pyannote[930].start 5645.96721875
transcript.pyannote[930].end 5648.76846875
transcript.pyannote[931].speaker SPEAKER_12
transcript.pyannote[931].start 5649.46034375
transcript.pyannote[931].end 5656.46346875
transcript.pyannote[932].speaker SPEAKER_12
transcript.pyannote[932].start 5656.83471875
transcript.pyannote[932].end 5670.03096875
transcript.pyannote[933].speaker SPEAKER_12
transcript.pyannote[933].start 5670.36846875
transcript.pyannote[933].end 5674.18221875
transcript.pyannote[934].speaker SPEAKER_12
transcript.pyannote[934].start 5674.73909375
transcript.pyannote[934].end 5681.89409375
transcript.pyannote[935].speaker SPEAKER_12
transcript.pyannote[935].start 5682.19784375
transcript.pyannote[935].end 5717.44971875
transcript.pyannote[936].speaker SPEAKER_12
transcript.pyannote[936].start 5717.75346875
transcript.pyannote[936].end 5719.32284375
transcript.pyannote[937].speaker SPEAKER_12
transcript.pyannote[937].start 5720.01471875
transcript.pyannote[937].end 5725.44846875
transcript.pyannote[938].speaker SPEAKER_12
transcript.pyannote[938].start 5726.89971875
transcript.pyannote[938].end 5728.89096875
transcript.pyannote[939].speaker SPEAKER_12
transcript.pyannote[939].start 5729.11034375
transcript.pyannote[939].end 5729.51534375
transcript.pyannote[940].speaker SPEAKER_12
transcript.pyannote[940].start 5729.92034375
transcript.pyannote[940].end 5730.89909375
transcript.pyannote[941].speaker SPEAKER_12
transcript.pyannote[941].start 5731.21971875
transcript.pyannote[941].end 5732.73846875
transcript.pyannote[942].speaker SPEAKER_21
transcript.pyannote[942].start 5732.94096875
transcript.pyannote[942].end 5734.64534375
transcript.pyannote[943].speaker SPEAKER_21
transcript.pyannote[943].start 5734.67909375
transcript.pyannote[943].end 5735.97846875
transcript.pyannote[944].speaker SPEAKER_14
transcript.pyannote[944].start 5735.97846875
transcript.pyannote[944].end 5736.51846875
transcript.pyannote[945].speaker SPEAKER_21
transcript.pyannote[945].start 5736.51846875
transcript.pyannote[945].end 5736.56909375
transcript.pyannote[946].speaker SPEAKER_14
transcript.pyannote[946].start 5737.21034375
transcript.pyannote[946].end 5737.73346875
transcript.pyannote[947].speaker SPEAKER_21
transcript.pyannote[947].start 5738.83034375
transcript.pyannote[947].end 5740.02846875
transcript.pyannote[948].speaker SPEAKER_12
transcript.pyannote[948].start 5743.75784375
transcript.pyannote[948].end 5743.77471875
transcript.pyannote[949].speaker SPEAKER_21
transcript.pyannote[949].start 5743.77471875
transcript.pyannote[949].end 5743.82534375
transcript.pyannote[950].speaker SPEAKER_12
transcript.pyannote[950].start 5743.82534375
transcript.pyannote[950].end 5744.24721875
transcript.pyannote[951].speaker SPEAKER_12
transcript.pyannote[951].start 5744.46659375
transcript.pyannote[951].end 5745.07409375
transcript.pyannote[952].speaker SPEAKER_12
transcript.pyannote[952].start 5748.60096875
transcript.pyannote[952].end 5750.42346875
transcript.pyannote[953].speaker SPEAKER_12
transcript.pyannote[953].start 5751.94221875
transcript.pyannote[953].end 5752.16159375
transcript.pyannote[954].speaker SPEAKER_12
transcript.pyannote[954].start 5752.38096875
transcript.pyannote[954].end 5754.23721875
transcript.pyannote[955].speaker SPEAKER_12
transcript.pyannote[955].start 5754.74346875
transcript.pyannote[955].end 5808.82784375
transcript.pyannote[956].speaker SPEAKER_12
transcript.pyannote[956].start 5809.31721875
transcript.pyannote[956].end 5814.54846875
transcript.pyannote[957].speaker SPEAKER_12
transcript.pyannote[957].start 5815.02096875
transcript.pyannote[957].end 5821.33221875
transcript.pyannote[958].speaker SPEAKER_12
transcript.pyannote[958].start 5821.65284375
transcript.pyannote[958].end 5822.88471875
transcript.pyannote[959].speaker SPEAKER_12
transcript.pyannote[959].start 5823.05346875
transcript.pyannote[959].end 5846.02034375
transcript.pyannote[960].speaker SPEAKER_12
transcript.pyannote[960].start 5846.29034375
transcript.pyannote[960].end 5858.82846875
transcript.pyannote[961].speaker SPEAKER_12
transcript.pyannote[961].start 5859.28409375
transcript.pyannote[961].end 5860.66784375
transcript.pyannote[962].speaker SPEAKER_12
transcript.pyannote[962].start 5860.78596875
transcript.pyannote[962].end 5876.98596875
transcript.pyannote[963].speaker SPEAKER_12
transcript.pyannote[963].start 5877.67784375
transcript.pyannote[963].end 5892.86534375
transcript.pyannote[964].speaker SPEAKER_12
transcript.pyannote[964].start 5893.32096875
transcript.pyannote[964].end 5896.78034375
transcript.pyannote[965].speaker SPEAKER_12
transcript.pyannote[965].start 5896.99971875
transcript.pyannote[965].end 5924.06721875
transcript.pyannote[966].speaker SPEAKER_15
transcript.pyannote[966].start 5924.55659375
transcript.pyannote[966].end 5935.94721875
transcript.pyannote[967].speaker SPEAKER_12
transcript.pyannote[967].start 5935.72784375
transcript.pyannote[967].end 5935.89659375
transcript.pyannote[968].speaker SPEAKER_12
transcript.pyannote[968].start 5935.94721875
transcript.pyannote[968].end 5937.01034375
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 5938.42784375
transcript.pyannote[969].end 5943.49034375
transcript.pyannote[970].speaker SPEAKER_12
transcript.pyannote[970].start 5941.98846875
transcript.pyannote[970].end 5947.86096875
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 5947.37159375
transcript.pyannote[971].end 5947.86096875
transcript.pyannote[972].speaker SPEAKER_14
transcript.pyannote[972].start 5947.86096875
transcript.pyannote[972].end 5947.89471875
transcript.pyannote[973].speaker SPEAKER_15
transcript.pyannote[973].start 5947.89471875
transcript.pyannote[973].end 5948.04659375
transcript.pyannote[974].speaker SPEAKER_14
transcript.pyannote[974].start 5948.04659375
transcript.pyannote[974].end 5948.06346875
transcript.pyannote[975].speaker SPEAKER_15
transcript.pyannote[975].start 5948.06346875
transcript.pyannote[975].end 5948.09721875
transcript.pyannote[976].speaker SPEAKER_14
transcript.pyannote[976].start 5948.09721875
transcript.pyannote[976].end 5950.62846875
transcript.pyannote[977].speaker SPEAKER_12
transcript.pyannote[977].start 5949.70034375
transcript.pyannote[977].end 5950.91534375
transcript.pyannote[978].speaker SPEAKER_15
transcript.pyannote[978].start 5950.62846875
transcript.pyannote[978].end 5950.69596875
transcript.pyannote[979].speaker SPEAKER_14
transcript.pyannote[979].start 5951.11784375
transcript.pyannote[979].end 5974.47284375
transcript.pyannote[980].speaker SPEAKER_29
transcript.pyannote[980].start 5966.98034375
transcript.pyannote[980].end 5967.21659375
transcript.pyannote[981].speaker SPEAKER_12
transcript.pyannote[981].start 5973.05534375
transcript.pyannote[981].end 5977.76346875
transcript.pyannote[982].speaker SPEAKER_14
transcript.pyannote[982].start 5974.65846875
transcript.pyannote[982].end 5975.11409375
transcript.pyannote[983].speaker SPEAKER_14
transcript.pyannote[983].start 5975.41784375
transcript.pyannote[983].end 5991.82034375
transcript.pyannote[984].speaker SPEAKER_12
transcript.pyannote[984].start 5978.01659375
transcript.pyannote[984].end 5978.16846875
transcript.pyannote[985].speaker SPEAKER_12
transcript.pyannote[985].start 5991.55034375
transcript.pyannote[985].end 6023.32596875
transcript.pyannote[986].speaker SPEAKER_12
transcript.pyannote[986].start 6023.49471875
transcript.pyannote[986].end 6028.25346875
transcript.pyannote[987].speaker SPEAKER_12
transcript.pyannote[987].start 6028.38846875
transcript.pyannote[987].end 6043.57596875
transcript.pyannote[988].speaker SPEAKER_12
transcript.pyannote[988].start 6043.74471875
transcript.pyannote[988].end 6045.38159375
transcript.pyannote[989].speaker SPEAKER_12
transcript.pyannote[989].start 6045.85409375
transcript.pyannote[989].end 6057.49784375
transcript.pyannote[990].speaker SPEAKER_12
transcript.pyannote[990].start 6057.76784375
transcript.pyannote[990].end 6060.90659375
transcript.pyannote[991].speaker SPEAKER_12
transcript.pyannote[991].start 6061.00784375
transcript.pyannote[991].end 6082.91159375
transcript.pyannote[992].speaker SPEAKER_12
transcript.pyannote[992].start 6083.60346875
transcript.pyannote[992].end 6092.53034375
transcript.pyannote[993].speaker SPEAKER_12
transcript.pyannote[993].start 6092.96909375
transcript.pyannote[993].end 6109.43909375
transcript.pyannote[994].speaker SPEAKER_12
transcript.pyannote[994].start 6109.82721875
transcript.pyannote[994].end 6117.70784375
transcript.pyannote[995].speaker SPEAKER_12
transcript.pyannote[995].start 6117.82596875
transcript.pyannote[995].end 6140.01659375
transcript.pyannote[996].speaker SPEAKER_12
transcript.pyannote[996].start 6140.62409375
transcript.pyannote[996].end 6157.87034375
transcript.pyannote[997].speaker SPEAKER_12
transcript.pyannote[997].start 6158.47784375
transcript.pyannote[997].end 6161.73471875
transcript.pyannote[998].speaker SPEAKER_12
transcript.pyannote[998].start 6161.93721875
transcript.pyannote[998].end 6195.67034375
transcript.pyannote[999].speaker SPEAKER_12
transcript.pyannote[999].start 6196.07534375
transcript.pyannote[999].end 6207.38159375
transcript.pyannote[1000].speaker SPEAKER_00
transcript.pyannote[1000].start 6196.93596875
transcript.pyannote[1000].end 6196.98659375
transcript.pyannote[1001].speaker SPEAKER_33
transcript.pyannote[1001].start 6196.98659375
transcript.pyannote[1001].end 6197.12159375
transcript.pyannote[1002].speaker SPEAKER_00
transcript.pyannote[1002].start 6197.12159375
transcript.pyannote[1002].end 6197.42534375
transcript.pyannote[1003].speaker SPEAKER_29
transcript.pyannote[1003].start 6200.32784375
transcript.pyannote[1003].end 6200.81721875
transcript.pyannote[1004].speaker SPEAKER_29
transcript.pyannote[1004].start 6207.38159375
transcript.pyannote[1004].end 6207.78659375
transcript.pyannote[1005].speaker SPEAKER_12
transcript.pyannote[1005].start 6207.78659375
transcript.pyannote[1005].end 6209.86221875
transcript.pyannote[1006].speaker SPEAKER_29
transcript.pyannote[1006].start 6210.43596875
transcript.pyannote[1006].end 6210.46971875
transcript.pyannote[1007].speaker SPEAKER_12
transcript.pyannote[1007].start 6210.46971875
transcript.pyannote[1007].end 6212.24159375
transcript.pyannote[1008].speaker SPEAKER_12
transcript.pyannote[1008].start 6212.57909375
transcript.pyannote[1008].end 6224.37471875
transcript.pyannote[1009].speaker SPEAKER_12
transcript.pyannote[1009].start 6224.88096875
transcript.pyannote[1009].end 6229.84221875
transcript.pyannote[1010].speaker SPEAKER_12
transcript.pyannote[1010].start 6230.33159375
transcript.pyannote[1010].end 6252.16784375
transcript.pyannote[1011].speaker SPEAKER_15
transcript.pyannote[1011].start 6247.56096875
transcript.pyannote[1011].end 6247.89846875
transcript.pyannote[1012].speaker SPEAKER_15
transcript.pyannote[1012].start 6252.16784375
transcript.pyannote[1012].end 6253.63596875
transcript.pyannote[1013].speaker SPEAKER_12
transcript.pyannote[1013].start 6253.85534375
transcript.pyannote[1013].end 6254.26034375
transcript.pyannote[1014].speaker SPEAKER_12
transcript.pyannote[1014].start 6254.34471875
transcript.pyannote[1014].end 6273.90284375
transcript.pyannote[1015].speaker SPEAKER_03
transcript.pyannote[1015].start 6259.00221875
transcript.pyannote[1015].end 6259.52534375
transcript.pyannote[1016].speaker SPEAKER_15
transcript.pyannote[1016].start 6259.52534375
transcript.pyannote[1016].end 6259.82909375
transcript.pyannote[1017].speaker SPEAKER_03
transcript.pyannote[1017].start 6259.82909375
transcript.pyannote[1017].end 6260.16659375
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 6260.21721875
transcript.pyannote[1018].end 6260.67284375
transcript.pyannote[1019].speaker SPEAKER_29
transcript.pyannote[1019].start 6264.85784375
transcript.pyannote[1019].end 6266.03909375
transcript.pyannote[1020].speaker SPEAKER_20
transcript.pyannote[1020].start 6266.03909375
transcript.pyannote[1020].end 6266.30909375
transcript.pyannote[1021].speaker SPEAKER_29
transcript.pyannote[1021].start 6266.30909375
transcript.pyannote[1021].end 6266.46096875
transcript.pyannote[1022].speaker SPEAKER_20
transcript.pyannote[1022].start 6266.46096875
transcript.pyannote[1022].end 6266.61284375
transcript.pyannote[1023].speaker SPEAKER_29
transcript.pyannote[1023].start 6266.61284375
transcript.pyannote[1023].end 6266.68034375
transcript.pyannote[1024].speaker SPEAKER_20
transcript.pyannote[1024].start 6267.03471875
transcript.pyannote[1024].end 6268.09784375
transcript.pyannote[1025].speaker SPEAKER_21
transcript.pyannote[1025].start 6268.09784375
transcript.pyannote[1025].end 6268.28346875
transcript.pyannote[1026].speaker SPEAKER_20
transcript.pyannote[1026].start 6268.28346875
transcript.pyannote[1026].end 6268.94159375
transcript.pyannote[1027].speaker SPEAKER_21
transcript.pyannote[1027].start 6269.02596875
transcript.pyannote[1027].end 6269.05971875
transcript.pyannote[1028].speaker SPEAKER_29
transcript.pyannote[1028].start 6269.05971875
transcript.pyannote[1028].end 6269.24534375
transcript.pyannote[1029].speaker SPEAKER_20
transcript.pyannote[1029].start 6269.24534375
transcript.pyannote[1029].end 6269.38034375
transcript.pyannote[1030].speaker SPEAKER_21
transcript.pyannote[1030].start 6269.38034375
transcript.pyannote[1030].end 6269.59971875
transcript.pyannote[1031].speaker SPEAKER_20
transcript.pyannote[1031].start 6269.59971875
transcript.pyannote[1031].end 6269.80221875
transcript.pyannote[1032].speaker SPEAKER_21
transcript.pyannote[1032].start 6269.80221875
transcript.pyannote[1032].end 6269.86971875
transcript.pyannote[1033].speaker SPEAKER_20
transcript.pyannote[1033].start 6269.86971875
transcript.pyannote[1033].end 6269.97096875
transcript.pyannote[1034].speaker SPEAKER_21
transcript.pyannote[1034].start 6269.97096875
transcript.pyannote[1034].end 6270.13971875
transcript.pyannote[1035].speaker SPEAKER_21
transcript.pyannote[1035].start 6271.35471875
transcript.pyannote[1035].end 6273.95346875
transcript.pyannote[1036].speaker SPEAKER_20
transcript.pyannote[1036].start 6273.95346875
transcript.pyannote[1036].end 6275.47221875
transcript.pyannote[1037].speaker SPEAKER_21
transcript.pyannote[1037].start 6276.23159375
transcript.pyannote[1037].end 6277.29471875
transcript.pyannote[1038].speaker SPEAKER_21
transcript.pyannote[1038].start 6295.31721875
transcript.pyannote[1038].end 6296.70096875
transcript.pyannote[1039].speaker SPEAKER_21
transcript.pyannote[1039].start 6298.35471875
transcript.pyannote[1039].end 6299.09721875
transcript.pyannote[1040].speaker SPEAKER_21
transcript.pyannote[1040].start 6303.18096875
transcript.pyannote[1040].end 6305.10471875
transcript.pyannote[1041].speaker SPEAKER_21
transcript.pyannote[1041].start 6305.61096875
transcript.pyannote[1041].end 6306.38721875
transcript.pyannote[1042].speaker SPEAKER_21
transcript.pyannote[1042].start 6307.23096875
transcript.pyannote[1042].end 6308.68221875
transcript.pyannote[1043].speaker SPEAKER_21
transcript.pyannote[1043].start 6312.93471875
transcript.pyannote[1043].end 6312.95159375
transcript.pyannote[1044].speaker SPEAKER_13
transcript.pyannote[1044].start 6312.95159375
transcript.pyannote[1044].end 6313.28909375
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 6314.21721875
transcript.pyannote[1045].end 6322.50284375
transcript.pyannote[1046].speaker SPEAKER_13
transcript.pyannote[1046].start 6322.57034375
transcript.pyannote[1046].end 6328.32471875
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 6330.19784375
transcript.pyannote[1047].end 6330.97409375
transcript.pyannote[1048].speaker SPEAKER_15
transcript.pyannote[1048].start 6330.97409375
transcript.pyannote[1048].end 6330.99096875
transcript.pyannote[1049].speaker SPEAKER_13
transcript.pyannote[1049].start 6331.42971875
transcript.pyannote[1049].end 6331.96971875
transcript.pyannote[1050].speaker SPEAKER_15
transcript.pyannote[1050].start 6331.96971875
transcript.pyannote[1050].end 6332.27346875
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 6332.72909375
transcript.pyannote[1051].end 6332.74596875
transcript.pyannote[1052].speaker SPEAKER_15
transcript.pyannote[1052].start 6332.74596875
transcript.pyannote[1052].end 6335.37846875
transcript.pyannote[1053].speaker SPEAKER_15
transcript.pyannote[1053].start 6335.90159375
transcript.pyannote[1053].end 6336.22221875
transcript.pyannote[1054].speaker SPEAKER_15
transcript.pyannote[1054].start 6336.54284375
transcript.pyannote[1054].end 6338.58471875
transcript.pyannote[1055].speaker SPEAKER_15
transcript.pyannote[1055].start 6339.86721875
transcript.pyannote[1055].end 6345.85784375
transcript.pyannote[1056].speaker SPEAKER_15
transcript.pyannote[1056].start 6346.27971875
transcript.pyannote[1056].end 6348.82784375
transcript.pyannote[1057].speaker SPEAKER_15
transcript.pyannote[1057].start 6349.73909375
transcript.pyannote[1057].end 6352.54034375
transcript.pyannote[1058].speaker SPEAKER_15
transcript.pyannote[1058].start 6353.41784375
transcript.pyannote[1058].end 6354.29534375
transcript.pyannote[1059].speaker SPEAKER_15
transcript.pyannote[1059].start 6355.02096875
transcript.pyannote[1059].end 6359.52659375
transcript.pyannote[1060].speaker SPEAKER_15
transcript.pyannote[1060].start 6359.83034375
transcript.pyannote[1060].end 6361.51784375
transcript.pyannote[1061].speaker SPEAKER_13
transcript.pyannote[1061].start 6361.24784375
transcript.pyannote[1061].end 6377.31284375
transcript.pyannote[1062].speaker SPEAKER_13
transcript.pyannote[1062].start 6377.65034375
transcript.pyannote[1062].end 6393.59721875
transcript.pyannote[1063].speaker SPEAKER_13
transcript.pyannote[1063].start 6394.00221875
transcript.pyannote[1063].end 6402.33846875
transcript.pyannote[1064].speaker SPEAKER_13
transcript.pyannote[1064].start 6402.49034375
transcript.pyannote[1064].end 6402.91221875
transcript.pyannote[1065].speaker SPEAKER_13
transcript.pyannote[1065].start 6403.36784375
transcript.pyannote[1065].end 6407.97471875
transcript.pyannote[1066].speaker SPEAKER_15
transcript.pyannote[1066].start 6407.97471875
transcript.pyannote[1066].end 6408.85221875
transcript.pyannote[1067].speaker SPEAKER_29
transcript.pyannote[1067].start 6408.95346875
transcript.pyannote[1067].end 6409.25721875
transcript.pyannote[1068].speaker SPEAKER_15
transcript.pyannote[1068].start 6409.25721875
transcript.pyannote[1068].end 6410.23596875
transcript.pyannote[1069].speaker SPEAKER_15
transcript.pyannote[1069].start 6410.82659375
transcript.pyannote[1069].end 6411.67034375
transcript.pyannote[1070].speaker SPEAKER_15
transcript.pyannote[1070].start 6412.19346875
transcript.pyannote[1070].end 6417.54284375
transcript.pyannote[1071].speaker SPEAKER_15
transcript.pyannote[1071].start 6417.64409375
transcript.pyannote[1071].end 6420.90096875
transcript.pyannote[1072].speaker SPEAKER_15
transcript.pyannote[1072].start 6421.22159375
transcript.pyannote[1072].end 6422.85846875
transcript.pyannote[1073].speaker SPEAKER_15
transcript.pyannote[1073].start 6423.29721875
transcript.pyannote[1073].end 6427.00971875
transcript.pyannote[1074].speaker SPEAKER_15
transcript.pyannote[1074].start 6427.34721875
transcript.pyannote[1074].end 6429.06846875
transcript.pyannote[1075].speaker SPEAKER_15
transcript.pyannote[1075].start 6429.52409375
transcript.pyannote[1075].end 6430.99221875
transcript.pyannote[1076].speaker SPEAKER_15
transcript.pyannote[1076].start 6431.14409375
transcript.pyannote[1076].end 6432.91596875
transcript.pyannote[1077].speaker SPEAKER_15
transcript.pyannote[1077].start 6433.37159375
transcript.pyannote[1077].end 6449.01471875
transcript.pyannote[1078].speaker SPEAKER_13
transcript.pyannote[1078].start 6447.73221875
transcript.pyannote[1078].end 6448.30596875
transcript.pyannote[1079].speaker SPEAKER_13
transcript.pyannote[1079].start 6448.66034375
transcript.pyannote[1079].end 6460.55721875
transcript.pyannote[1080].speaker SPEAKER_13
transcript.pyannote[1080].start 6461.04659375
transcript.pyannote[1080].end 6462.73409375
transcript.pyannote[1081].speaker SPEAKER_13
transcript.pyannote[1081].start 6463.22346875
transcript.pyannote[1081].end 6471.54284375
transcript.pyannote[1082].speaker SPEAKER_15
transcript.pyannote[1082].start 6469.14659375
transcript.pyannote[1082].end 6469.58534375
transcript.pyannote[1083].speaker SPEAKER_15
transcript.pyannote[1083].start 6471.54284375
transcript.pyannote[1083].end 6481.02659375
transcript.pyannote[1084].speaker SPEAKER_13
transcript.pyannote[1084].start 6471.59346875
transcript.pyannote[1084].end 6472.96034375
transcript.pyannote[1085].speaker SPEAKER_13
transcript.pyannote[1085].start 6481.02659375
transcript.pyannote[1085].end 6499.09971875
transcript.pyannote[1086].speaker SPEAKER_13
transcript.pyannote[1086].start 6499.43721875
transcript.pyannote[1086].end 6500.97284375
transcript.pyannote[1087].speaker SPEAKER_15
transcript.pyannote[1087].start 6500.97284375
transcript.pyannote[1087].end 6511.43534375
transcript.pyannote[1088].speaker SPEAKER_15
transcript.pyannote[1088].start 6511.80659375
transcript.pyannote[1088].end 6517.03784375
transcript.pyannote[1089].speaker SPEAKER_15
transcript.pyannote[1089].start 6517.34159375
transcript.pyannote[1089].end 6530.18346875
transcript.pyannote[1090].speaker SPEAKER_15
transcript.pyannote[1090].start 6530.43659375
transcript.pyannote[1090].end 6547.02471875
transcript.pyannote[1091].speaker SPEAKER_13
transcript.pyannote[1091].start 6547.02471875
transcript.pyannote[1091].end 6556.49159375
transcript.pyannote[1092].speaker SPEAKER_13
transcript.pyannote[1092].start 6557.48721875
transcript.pyannote[1092].end 6567.86534375
transcript.pyannote[1093].speaker SPEAKER_15
transcript.pyannote[1093].start 6567.86534375
transcript.pyannote[1093].end 6567.96659375
transcript.pyannote[1094].speaker SPEAKER_13
transcript.pyannote[1094].start 6567.96659375
transcript.pyannote[1094].end 6567.98346875
transcript.pyannote[1095].speaker SPEAKER_15
transcript.pyannote[1095].start 6567.98346875
transcript.pyannote[1095].end 6568.08471875
transcript.pyannote[1096].speaker SPEAKER_13
transcript.pyannote[1096].start 6568.08471875
transcript.pyannote[1096].end 6578.96909375
transcript.pyannote[1097].speaker SPEAKER_15
transcript.pyannote[1097].start 6578.96909375
transcript.pyannote[1097].end 6589.02659375
transcript.pyannote[1098].speaker SPEAKER_13
transcript.pyannote[1098].start 6589.02659375
transcript.pyannote[1098].end 6628.02471875
transcript.pyannote[1099].speaker SPEAKER_13
transcript.pyannote[1099].start 6628.56471875
transcript.pyannote[1099].end 6629.98221875
transcript.pyannote[1100].speaker SPEAKER_13
transcript.pyannote[1100].start 6630.57284375
transcript.pyannote[1100].end 6632.68221875
transcript.pyannote[1101].speaker SPEAKER_13
transcript.pyannote[1101].start 6633.45846875
transcript.pyannote[1101].end 6647.83596875
transcript.pyannote[1102].speaker SPEAKER_13
transcript.pyannote[1102].start 6648.20721875
transcript.pyannote[1102].end 6662.02784375
transcript.pyannote[1103].speaker SPEAKER_13
transcript.pyannote[1103].start 6662.26409375
transcript.pyannote[1103].end 6719.14971875
transcript.pyannote[1104].speaker SPEAKER_15
transcript.pyannote[1104].start 6680.30346875
transcript.pyannote[1104].end 6680.67471875
transcript.pyannote[1105].speaker SPEAKER_13
transcript.pyannote[1105].start 6719.75721875
transcript.pyannote[1105].end 6720.22971875
transcript.pyannote[1106].speaker SPEAKER_13
transcript.pyannote[1106].start 6720.90471875
transcript.pyannote[1106].end 6723.67221875
transcript.pyannote[1107].speaker SPEAKER_13
transcript.pyannote[1107].start 6724.06034375
transcript.pyannote[1107].end 6727.73909375
transcript.pyannote[1108].speaker SPEAKER_13
transcript.pyannote[1108].start 6728.22846875
transcript.pyannote[1108].end 6734.03346875
transcript.pyannote[1109].speaker SPEAKER_13
transcript.pyannote[1109].start 6734.15159375
transcript.pyannote[1109].end 6739.87221875
transcript.pyannote[1110].speaker SPEAKER_13
transcript.pyannote[1110].start 6740.61471875
transcript.pyannote[1110].end 6740.83409375
transcript.pyannote[1111].speaker SPEAKER_13
transcript.pyannote[1111].start 6740.88471875
transcript.pyannote[1111].end 6743.39909375
transcript.pyannote[1112].speaker SPEAKER_13
transcript.pyannote[1112].start 6743.77034375
transcript.pyannote[1112].end 6749.52471875
transcript.pyannote[1113].speaker SPEAKER_13
transcript.pyannote[1113].start 6750.60471875
transcript.pyannote[1113].end 6766.97346875
transcript.pyannote[1114].speaker SPEAKER_15
transcript.pyannote[1114].start 6766.97346875
transcript.pyannote[1114].end 6781.03034375
transcript.pyannote[1115].speaker SPEAKER_13
transcript.pyannote[1115].start 6781.03034375
transcript.pyannote[1115].end 6787.96596875
transcript.pyannote[1116].speaker SPEAKER_13
transcript.pyannote[1116].start 6788.55659375
transcript.pyannote[1116].end 6809.68409375
transcript.pyannote[1117].speaker SPEAKER_15
transcript.pyannote[1117].start 6795.08721875
transcript.pyannote[1117].end 6795.59346875
transcript.pyannote[1118].speaker SPEAKER_16
transcript.pyannote[1118].start 6795.59346875
transcript.pyannote[1118].end 6795.62721875
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 6795.62721875
transcript.pyannote[1119].end 6795.64409375
transcript.pyannote[1120].speaker SPEAKER_15
transcript.pyannote[1120].start 6798.79971875
transcript.pyannote[1120].end 6799.74471875
transcript.pyannote[1121].speaker SPEAKER_15
transcript.pyannote[1121].start 6800.38596875
transcript.pyannote[1121].end 6800.97659375
transcript.pyannote[1122].speaker SPEAKER_14
transcript.pyannote[1122].start 6800.97659375
transcript.pyannote[1122].end 6801.34784375
transcript.pyannote[1123].speaker SPEAKER_15
transcript.pyannote[1123].start 6801.34784375
transcript.pyannote[1123].end 6801.38159375
transcript.pyannote[1124].speaker SPEAKER_13
transcript.pyannote[1124].start 6809.97096875
transcript.pyannote[1124].end 6831.73971875
transcript.pyannote[1125].speaker SPEAKER_15
transcript.pyannote[1125].start 6823.80846875
transcript.pyannote[1125].end 6825.58034375
transcript.pyannote[1126].speaker SPEAKER_15
transcript.pyannote[1126].start 6829.39409375
transcript.pyannote[1126].end 6829.51221875
transcript.pyannote[1127].speaker SPEAKER_20
transcript.pyannote[1127].start 6829.51221875
transcript.pyannote[1127].end 6829.52909375
transcript.pyannote[1128].speaker SPEAKER_21
transcript.pyannote[1128].start 6829.52909375
transcript.pyannote[1128].end 6829.81596875
transcript.pyannote[1129].speaker SPEAKER_21
transcript.pyannote[1129].start 6830.15346875
transcript.pyannote[1129].end 6831.79034375
transcript.pyannote[1130].speaker SPEAKER_13
transcript.pyannote[1130].start 6831.79034375
transcript.pyannote[1130].end 6831.95909375
transcript.pyannote[1131].speaker SPEAKER_21
transcript.pyannote[1131].start 6831.95909375
transcript.pyannote[1131].end 6833.76471875
transcript.pyannote[1132].speaker SPEAKER_21
transcript.pyannote[1132].start 6834.28784375
transcript.pyannote[1132].end 6836.04284375
transcript.pyannote[1133].speaker SPEAKER_21
transcript.pyannote[1133].start 6836.43096875
transcript.pyannote[1133].end 6836.93721875
transcript.pyannote[1134].speaker SPEAKER_28
transcript.pyannote[1134].start 6837.25784375
transcript.pyannote[1134].end 6837.44346875
transcript.pyannote[1135].speaker SPEAKER_21
transcript.pyannote[1135].start 6837.83159375
transcript.pyannote[1135].end 6838.79346875
transcript.pyannote[1136].speaker SPEAKER_29
transcript.pyannote[1136].start 6839.24909375
transcript.pyannote[1136].end 6839.62034375
transcript.pyannote[1137].speaker SPEAKER_21
transcript.pyannote[1137].start 6840.63284375
transcript.pyannote[1137].end 6841.35846875
transcript.pyannote[1138].speaker SPEAKER_21
transcript.pyannote[1138].start 6842.94471875
transcript.pyannote[1138].end 6849.23909375
transcript.pyannote[1139].speaker SPEAKER_21
transcript.pyannote[1139].start 6872.67846875
transcript.pyannote[1139].end 6873.62346875
transcript.pyannote[1140].speaker SPEAKER_21
transcript.pyannote[1140].start 6874.21409375
transcript.pyannote[1140].end 6875.46284375
transcript.pyannote[1141].speaker SPEAKER_02
transcript.pyannote[1141].start 6882.22971875
transcript.pyannote[1141].end 6882.92159375
transcript.pyannote[1142].speaker SPEAKER_02
transcript.pyannote[1142].start 6883.69784375
transcript.pyannote[1142].end 6884.37284375
transcript.pyannote[1143].speaker SPEAKER_02
transcript.pyannote[1143].start 6884.64284375
transcript.pyannote[1143].end 6885.04784375
transcript.pyannote[1144].speaker SPEAKER_02
transcript.pyannote[1144].start 6885.87471875
transcript.pyannote[1144].end 6888.67596875
transcript.pyannote[1145].speaker SPEAKER_02
transcript.pyannote[1145].start 6889.19909375
transcript.pyannote[1145].end 6889.89096875
transcript.pyannote[1146].speaker SPEAKER_02
transcript.pyannote[1146].start 6890.26221875
transcript.pyannote[1146].end 6891.07221875
transcript.pyannote[1147].speaker SPEAKER_02
transcript.pyannote[1147].start 6891.35909375
transcript.pyannote[1147].end 6891.61221875
transcript.pyannote[1148].speaker SPEAKER_02
transcript.pyannote[1148].start 6892.11846875
transcript.pyannote[1148].end 6894.49784375
transcript.pyannote[1149].speaker SPEAKER_02
transcript.pyannote[1149].start 6894.61596875
transcript.pyannote[1149].end 6899.56034375
transcript.pyannote[1150].speaker SPEAKER_02
transcript.pyannote[1150].start 6900.04971875
transcript.pyannote[1150].end 6901.12971875
transcript.pyannote[1151].speaker SPEAKER_02
transcript.pyannote[1151].start 6901.50096875
transcript.pyannote[1151].end 6906.20909375
transcript.pyannote[1152].speaker SPEAKER_02
transcript.pyannote[1152].start 6906.51284375
transcript.pyannote[1152].end 6909.73596875
transcript.pyannote[1153].speaker SPEAKER_02
transcript.pyannote[1153].start 6909.98909375
transcript.pyannote[1153].end 6910.83284375
transcript.pyannote[1154].speaker SPEAKER_02
transcript.pyannote[1154].start 6911.13659375
transcript.pyannote[1154].end 6911.77784375
transcript.pyannote[1155].speaker SPEAKER_02
transcript.pyannote[1155].start 6912.33471875
transcript.pyannote[1155].end 6913.46534375
transcript.pyannote[1156].speaker SPEAKER_02
transcript.pyannote[1156].start 6914.17409375
transcript.pyannote[1156].end 6915.06846875
transcript.pyannote[1157].speaker SPEAKER_02
transcript.pyannote[1157].start 6915.89534375
transcript.pyannote[1157].end 6918.35909375
transcript.pyannote[1158].speaker SPEAKER_02
transcript.pyannote[1158].start 6918.81471875
transcript.pyannote[1158].end 6921.24471875
transcript.pyannote[1159].speaker SPEAKER_02
transcript.pyannote[1159].start 6921.39659375
transcript.pyannote[1159].end 6923.87721875
transcript.pyannote[1160].speaker SPEAKER_02
transcript.pyannote[1160].start 6924.26534375
transcript.pyannote[1160].end 6925.64909375
transcript.pyannote[1161].speaker SPEAKER_02
transcript.pyannote[1161].start 6926.13846875
transcript.pyannote[1161].end 6929.12534375
transcript.pyannote[1162].speaker SPEAKER_02
transcript.pyannote[1162].start 6929.51346875
transcript.pyannote[1162].end 6932.36534375
transcript.pyannote[1163].speaker SPEAKER_02
transcript.pyannote[1163].start 6932.60159375
transcript.pyannote[1163].end 6935.87534375
transcript.pyannote[1164].speaker SPEAKER_02
transcript.pyannote[1164].start 6936.33096875
transcript.pyannote[1164].end 6937.14096875
transcript.pyannote[1165].speaker SPEAKER_02
transcript.pyannote[1165].start 6937.73159375
transcript.pyannote[1165].end 6944.09346875
transcript.pyannote[1166].speaker SPEAKER_15
transcript.pyannote[1166].start 6937.78221875
transcript.pyannote[1166].end 6939.58784375
transcript.pyannote[1167].speaker SPEAKER_15
transcript.pyannote[1167].start 6940.36409375
transcript.pyannote[1167].end 6940.75221875
transcript.pyannote[1168].speaker SPEAKER_15
transcript.pyannote[1168].start 6943.63784375
transcript.pyannote[1168].end 6943.70534375
transcript.pyannote[1169].speaker SPEAKER_29
transcript.pyannote[1169].start 6943.70534375
transcript.pyannote[1169].end 6943.89096875
transcript.pyannote[1170].speaker SPEAKER_15
transcript.pyannote[1170].start 6943.89096875
transcript.pyannote[1170].end 6943.90784375
transcript.pyannote[1171].speaker SPEAKER_02
transcript.pyannote[1171].start 6944.53221875
transcript.pyannote[1171].end 6951.33284375
transcript.pyannote[1172].speaker SPEAKER_02
transcript.pyannote[1172].start 6951.45096875
transcript.pyannote[1172].end 6955.24784375
transcript.pyannote[1173].speaker SPEAKER_02
transcript.pyannote[1173].start 6955.77096875
transcript.pyannote[1173].end 6957.89721875
transcript.pyannote[1174].speaker SPEAKER_02
transcript.pyannote[1174].start 6958.63971875
transcript.pyannote[1174].end 6962.72346875
transcript.pyannote[1175].speaker SPEAKER_02
transcript.pyannote[1175].start 6963.04409375
transcript.pyannote[1175].end 6965.20409375
transcript.pyannote[1176].speaker SPEAKER_02
transcript.pyannote[1176].start 6965.30534375
transcript.pyannote[1176].end 6966.50346875
transcript.pyannote[1177].speaker SPEAKER_02
transcript.pyannote[1177].start 6966.99284375
transcript.pyannote[1177].end 6971.02596875
transcript.pyannote[1178].speaker SPEAKER_02
transcript.pyannote[1178].start 6971.65034375
transcript.pyannote[1178].end 6973.99596875
transcript.pyannote[1179].speaker SPEAKER_02
transcript.pyannote[1179].start 6974.75534375
transcript.pyannote[1179].end 6975.90284375
transcript.pyannote[1180].speaker SPEAKER_02
transcript.pyannote[1180].start 6976.99971875
transcript.pyannote[1180].end 6977.11784375
transcript.pyannote[1181].speaker SPEAKER_02
transcript.pyannote[1181].start 6977.91096875
transcript.pyannote[1181].end 6979.93596875
transcript.pyannote[1182].speaker SPEAKER_15
transcript.pyannote[1182].start 6978.94034375
transcript.pyannote[1182].end 6984.28971875
transcript.pyannote[1183].speaker SPEAKER_02
transcript.pyannote[1183].start 6981.62346875
transcript.pyannote[1183].end 6981.67409375
transcript.pyannote[1184].speaker SPEAKER_29
transcript.pyannote[1184].start 6981.67409375
transcript.pyannote[1184].end 6981.80909375
transcript.pyannote[1185].speaker SPEAKER_02
transcript.pyannote[1185].start 6981.80909375
transcript.pyannote[1185].end 6981.97784375
transcript.pyannote[1186].speaker SPEAKER_29
transcript.pyannote[1186].start 6984.28971875
transcript.pyannote[1186].end 6984.47534375
transcript.pyannote[1187].speaker SPEAKER_15
transcript.pyannote[1187].start 6984.47534375
transcript.pyannote[1187].end 6988.12034375
transcript.pyannote[1188].speaker SPEAKER_29
transcript.pyannote[1188].start 6987.15846875
transcript.pyannote[1188].end 6988.01909375
transcript.pyannote[1189].speaker SPEAKER_15
transcript.pyannote[1189].start 6988.60971875
transcript.pyannote[1189].end 6991.68096875
transcript.pyannote[1190].speaker SPEAKER_15
transcript.pyannote[1190].start 6992.18721875
transcript.pyannote[1190].end 6994.48221875
transcript.pyannote[1191].speaker SPEAKER_02
transcript.pyannote[1191].start 6994.71846875
transcript.pyannote[1191].end 6995.00534375
transcript.pyannote[1192].speaker SPEAKER_15
transcript.pyannote[1192].start 6995.66346875
transcript.pyannote[1192].end 6996.57471875
transcript.pyannote[1193].speaker SPEAKER_15
transcript.pyannote[1193].start 6997.94159375
transcript.pyannote[1193].end 6999.37596875
transcript.pyannote[1194].speaker SPEAKER_02
transcript.pyannote[1194].start 6998.98784375
transcript.pyannote[1194].end 7002.98721875
transcript.pyannote[1195].speaker SPEAKER_15
transcript.pyannote[1195].start 7001.94096875
transcript.pyannote[1195].end 7002.97034375
transcript.pyannote[1196].speaker SPEAKER_15
transcript.pyannote[1196].start 7002.98721875
transcript.pyannote[1196].end 7003.03784375
transcript.pyannote[1197].speaker SPEAKER_02
transcript.pyannote[1197].start 7003.03784375
transcript.pyannote[1197].end 7003.07159375
transcript.pyannote[1198].speaker SPEAKER_15
transcript.pyannote[1198].start 7003.07159375
transcript.pyannote[1198].end 7004.48909375
transcript.pyannote[1199].speaker SPEAKER_02
transcript.pyannote[1199].start 7004.48909375
transcript.pyannote[1199].end 7008.74159375
transcript.pyannote[1200].speaker SPEAKER_15
transcript.pyannote[1200].start 7004.52284375
transcript.pyannote[1200].end 7005.16409375
transcript.pyannote[1201].speaker SPEAKER_15
transcript.pyannote[1201].start 7008.40409375
transcript.pyannote[1201].end 7009.80471875
transcript.pyannote[1202].speaker SPEAKER_15
transcript.pyannote[1202].start 7010.20971875
transcript.pyannote[1202].end 7013.02784375
transcript.pyannote[1203].speaker SPEAKER_02
transcript.pyannote[1203].start 7013.02784375
transcript.pyannote[1203].end 7013.31471875
transcript.pyannote[1204].speaker SPEAKER_15
transcript.pyannote[1204].start 7013.31471875
transcript.pyannote[1204].end 7013.60159375
transcript.pyannote[1205].speaker SPEAKER_02
transcript.pyannote[1205].start 7013.60159375
transcript.pyannote[1205].end 7019.37284375
transcript.pyannote[1206].speaker SPEAKER_02
transcript.pyannote[1206].start 7019.65971875
transcript.pyannote[1206].end 7020.48659375
transcript.pyannote[1207].speaker SPEAKER_02
transcript.pyannote[1207].start 7022.59596875
transcript.pyannote[1207].end 7023.37221875
transcript.pyannote[1208].speaker SPEAKER_02
transcript.pyannote[1208].start 7023.57471875
transcript.pyannote[1208].end 7025.29596875
transcript.pyannote[1209].speaker SPEAKER_02
transcript.pyannote[1209].start 7026.07221875
transcript.pyannote[1209].end 7027.30409375
transcript.pyannote[1210].speaker SPEAKER_02
transcript.pyannote[1210].start 7027.82721875
transcript.pyannote[1210].end 7028.50221875
transcript.pyannote[1211].speaker SPEAKER_02
transcript.pyannote[1211].start 7029.27846875
transcript.pyannote[1211].end 7032.48471875
transcript.pyannote[1212].speaker SPEAKER_02
transcript.pyannote[1212].start 7033.51409375
transcript.pyannote[1212].end 7034.00346875
transcript.pyannote[1213].speaker SPEAKER_02
transcript.pyannote[1213].start 7034.34096875
transcript.pyannote[1213].end 7037.39534375
transcript.pyannote[1214].speaker SPEAKER_02
transcript.pyannote[1214].start 7037.66534375
transcript.pyannote[1214].end 7041.56346875
transcript.pyannote[1215].speaker SPEAKER_02
transcript.pyannote[1215].start 7042.00221875
transcript.pyannote[1215].end 7042.84596875
transcript.pyannote[1216].speaker SPEAKER_02
transcript.pyannote[1216].start 7043.30159375
transcript.pyannote[1216].end 7044.07784375
transcript.pyannote[1217].speaker SPEAKER_02
transcript.pyannote[1217].start 7044.39846875
transcript.pyannote[1217].end 7044.93846875
transcript.pyannote[1218].speaker SPEAKER_02
transcript.pyannote[1218].start 7045.44471875
transcript.pyannote[1218].end 7047.45284375
transcript.pyannote[1219].speaker SPEAKER_02
transcript.pyannote[1219].start 7050.11909375
transcript.pyannote[1219].end 7051.50284375
transcript.pyannote[1220].speaker SPEAKER_02
transcript.pyannote[1220].start 7052.04284375
transcript.pyannote[1220].end 7053.64596875
transcript.pyannote[1221].speaker SPEAKER_02
transcript.pyannote[1221].start 7054.16909375
transcript.pyannote[1221].end 7059.04596875
transcript.pyannote[1222].speaker SPEAKER_02
transcript.pyannote[1222].start 7060.00784375
transcript.pyannote[1222].end 7061.49284375
transcript.pyannote[1223].speaker SPEAKER_02
transcript.pyannote[1223].start 7062.84284375
transcript.pyannote[1223].end 7063.92284375
transcript.pyannote[1224].speaker SPEAKER_02
transcript.pyannote[1224].start 7064.14221875
transcript.pyannote[1224].end 7065.07034375
transcript.pyannote[1225].speaker SPEAKER_02
transcript.pyannote[1225].start 7065.42471875
transcript.pyannote[1225].end 7066.21784375
transcript.pyannote[1226].speaker SPEAKER_02
transcript.pyannote[1226].start 7067.63534375
transcript.pyannote[1226].end 7068.41159375
transcript.pyannote[1227].speaker SPEAKER_02
transcript.pyannote[1227].start 7069.08659375
transcript.pyannote[1227].end 7072.12409375
transcript.pyannote[1228].speaker SPEAKER_02
transcript.pyannote[1228].start 7072.78221875
transcript.pyannote[1228].end 7074.50346875
transcript.pyannote[1229].speaker SPEAKER_02
transcript.pyannote[1229].start 7074.73971875
transcript.pyannote[1229].end 7075.81971875
transcript.pyannote[1230].speaker SPEAKER_02
transcript.pyannote[1230].start 7076.46096875
transcript.pyannote[1230].end 7077.60846875
transcript.pyannote[1231].speaker SPEAKER_02
transcript.pyannote[1231].start 7078.21596875
transcript.pyannote[1231].end 7079.24534375
transcript.pyannote[1232].speaker SPEAKER_02
transcript.pyannote[1232].start 7079.51534375
transcript.pyannote[1232].end 7080.37596875
transcript.pyannote[1233].speaker SPEAKER_02
transcript.pyannote[1233].start 7081.59096875
transcript.pyannote[1233].end 7083.29534375
transcript.pyannote[1234].speaker SPEAKER_02
transcript.pyannote[1234].start 7083.73409375
transcript.pyannote[1234].end 7084.96596875
transcript.pyannote[1235].speaker SPEAKER_02
transcript.pyannote[1235].start 7085.67471875
transcript.pyannote[1235].end 7086.55221875
transcript.pyannote[1236].speaker SPEAKER_02
transcript.pyannote[1236].start 7086.73784375
transcript.pyannote[1236].end 7087.96971875
transcript.pyannote[1237].speaker SPEAKER_02
transcript.pyannote[1237].start 7088.08784375
transcript.pyannote[1237].end 7088.94846875
transcript.pyannote[1238].speaker SPEAKER_02
transcript.pyannote[1238].start 7089.25221875
transcript.pyannote[1238].end 7090.46721875
transcript.pyannote[1239].speaker SPEAKER_02
transcript.pyannote[1239].start 7090.80471875
transcript.pyannote[1239].end 7092.03659375
transcript.pyannote[1240].speaker SPEAKER_15
transcript.pyannote[1240].start 7092.03659375
transcript.pyannote[1240].end 7093.04909375
transcript.pyannote[1241].speaker SPEAKER_02
transcript.pyannote[1241].start 7093.47096875
transcript.pyannote[1241].end 7093.69034375
transcript.pyannote[1242].speaker SPEAKER_15
transcript.pyannote[1242].start 7093.69034375
transcript.pyannote[1242].end 7093.79159375
transcript.pyannote[1243].speaker SPEAKER_02
transcript.pyannote[1243].start 7093.79159375
transcript.pyannote[1243].end 7094.26409375
transcript.pyannote[1244].speaker SPEAKER_15
transcript.pyannote[1244].start 7093.85909375
transcript.pyannote[1244].end 7098.68534375
transcript.pyannote[1245].speaker SPEAKER_02
transcript.pyannote[1245].start 7098.68534375
transcript.pyannote[1245].end 7107.66284375
transcript.pyannote[1246].speaker SPEAKER_15
transcript.pyannote[1246].start 7098.92159375
transcript.pyannote[1246].end 7099.44471875
transcript.pyannote[1247].speaker SPEAKER_15
transcript.pyannote[1247].start 7100.03534375
transcript.pyannote[1247].end 7100.92971875
transcript.pyannote[1248].speaker SPEAKER_15
transcript.pyannote[1248].start 7102.09409375
transcript.pyannote[1248].end 7102.17846875
transcript.pyannote[1249].speaker SPEAKER_15
transcript.pyannote[1249].start 7103.12346875
transcript.pyannote[1249].end 7103.83221875
transcript.pyannote[1250].speaker SPEAKER_00
transcript.pyannote[1250].start 7105.82346875
transcript.pyannote[1250].end 7105.84034375
transcript.pyannote[1251].speaker SPEAKER_00
transcript.pyannote[1251].start 7105.87409375
transcript.pyannote[1251].end 7105.97534375
transcript.pyannote[1252].speaker SPEAKER_02
transcript.pyannote[1252].start 7107.88221875
transcript.pyannote[1252].end 7110.61596875
transcript.pyannote[1253].speaker SPEAKER_02
transcript.pyannote[1253].start 7111.67909375
transcript.pyannote[1253].end 7113.07971875
transcript.pyannote[1254].speaker SPEAKER_02
transcript.pyannote[1254].start 7113.45096875
transcript.pyannote[1254].end 7115.84721875
transcript.pyannote[1255].speaker SPEAKER_02
transcript.pyannote[1255].start 7116.74159375
transcript.pyannote[1255].end 7119.57659375
transcript.pyannote[1256].speaker SPEAKER_02
transcript.pyannote[1256].start 7119.77909375
transcript.pyannote[1256].end 7121.70284375
transcript.pyannote[1257].speaker SPEAKER_02
transcript.pyannote[1257].start 7122.36096875
transcript.pyannote[1257].end 7123.40721875
transcript.pyannote[1258].speaker SPEAKER_02
transcript.pyannote[1258].start 7123.74471875
transcript.pyannote[1258].end 7124.20034375
transcript.pyannote[1259].speaker SPEAKER_02
transcript.pyannote[1259].start 7125.17909375
transcript.pyannote[1259].end 7125.97221875
transcript.pyannote[1260].speaker SPEAKER_02
transcript.pyannote[1260].start 7126.44471875
transcript.pyannote[1260].end 7131.08534375
transcript.pyannote[1261].speaker SPEAKER_02
transcript.pyannote[1261].start 7131.20346875
transcript.pyannote[1261].end 7134.30846875
transcript.pyannote[1262].speaker SPEAKER_02
transcript.pyannote[1262].start 7134.88221875
transcript.pyannote[1262].end 7138.18971875
transcript.pyannote[1263].speaker SPEAKER_02
transcript.pyannote[1263].start 7138.45971875
transcript.pyannote[1263].end 7138.89846875
transcript.pyannote[1264].speaker SPEAKER_02
transcript.pyannote[1264].start 7139.74221875
transcript.pyannote[1264].end 7142.34096875
transcript.pyannote[1265].speaker SPEAKER_02
transcript.pyannote[1265].start 7142.49284375
transcript.pyannote[1265].end 7145.51346875
transcript.pyannote[1266].speaker SPEAKER_02
transcript.pyannote[1266].start 7145.80034375
transcript.pyannote[1266].end 7147.43721875
transcript.pyannote[1267].speaker SPEAKER_02
transcript.pyannote[1267].start 7148.04471875
transcript.pyannote[1267].end 7150.74471875
transcript.pyannote[1268].speaker SPEAKER_02
transcript.pyannote[1268].start 7151.58846875
transcript.pyannote[1268].end 7152.39846875
transcript.pyannote[1269].speaker SPEAKER_02
transcript.pyannote[1269].start 7152.78659375
transcript.pyannote[1269].end 7153.52909375
transcript.pyannote[1270].speaker SPEAKER_02
transcript.pyannote[1270].start 7154.35596875
transcript.pyannote[1270].end 7157.22471875
transcript.pyannote[1271].speaker SPEAKER_02
transcript.pyannote[1271].start 7158.15284375
transcript.pyannote[1271].end 7159.16534375
transcript.pyannote[1272].speaker SPEAKER_02
transcript.pyannote[1272].start 7160.02596875
transcript.pyannote[1272].end 7160.85284375
transcript.pyannote[1273].speaker SPEAKER_02
transcript.pyannote[1273].start 7161.76409375
transcript.pyannote[1273].end 7165.34159375
transcript.pyannote[1274].speaker SPEAKER_02
transcript.pyannote[1274].start 7165.57784375
transcript.pyannote[1274].end 7166.86034375
transcript.pyannote[1275].speaker SPEAKER_02
transcript.pyannote[1275].start 7168.58159375
transcript.pyannote[1275].end 7169.18909375
transcript.pyannote[1276].speaker SPEAKER_02
transcript.pyannote[1276].start 7170.08346875
transcript.pyannote[1276].end 7171.23096875
transcript.pyannote[1277].speaker SPEAKER_02
transcript.pyannote[1277].start 7172.34471875
transcript.pyannote[1277].end 7174.04909375
transcript.pyannote[1278].speaker SPEAKER_02
transcript.pyannote[1278].start 7174.25159375
transcript.pyannote[1278].end 7179.02721875
transcript.pyannote[1279].speaker SPEAKER_02
transcript.pyannote[1279].start 7179.76971875
transcript.pyannote[1279].end 7182.19971875
transcript.pyannote[1280].speaker SPEAKER_02
transcript.pyannote[1280].start 7183.49909375
transcript.pyannote[1280].end 7185.87846875
transcript.pyannote[1281].speaker SPEAKER_02
transcript.pyannote[1281].start 7186.77284375
transcript.pyannote[1281].end 7191.31221875
transcript.pyannote[1282].speaker SPEAKER_02
transcript.pyannote[1282].start 7191.88596875
transcript.pyannote[1282].end 7194.43409375
transcript.pyannote[1283].speaker SPEAKER_02
transcript.pyannote[1283].start 7194.90659375
transcript.pyannote[1283].end 7195.36221875
transcript.pyannote[1284].speaker SPEAKER_02
transcript.pyannote[1284].start 7195.64909375
transcript.pyannote[1284].end 7200.35721875
transcript.pyannote[1285].speaker SPEAKER_02
transcript.pyannote[1285].start 7201.06596875
transcript.pyannote[1285].end 7201.50471875
transcript.pyannote[1286].speaker SPEAKER_02
transcript.pyannote[1286].start 7201.74096875
transcript.pyannote[1286].end 7208.11971875
transcript.pyannote[1287].speaker SPEAKER_02
transcript.pyannote[1287].start 7208.64284375
transcript.pyannote[1287].end 7212.54096875
transcript.pyannote[1288].speaker SPEAKER_02
transcript.pyannote[1288].start 7212.86159375
transcript.pyannote[1288].end 7222.54784375
transcript.pyannote[1289].speaker SPEAKER_02
transcript.pyannote[1289].start 7222.75034375
transcript.pyannote[1289].end 7225.66971875
transcript.pyannote[1290].speaker SPEAKER_15
transcript.pyannote[1290].start 7225.66971875
transcript.pyannote[1290].end 7245.02534375
transcript.pyannote[1291].speaker SPEAKER_02
transcript.pyannote[1291].start 7245.02534375
transcript.pyannote[1291].end 7251.06659375
transcript.pyannote[1292].speaker SPEAKER_15
transcript.pyannote[1292].start 7245.80159375
transcript.pyannote[1292].end 7246.05471875
transcript.pyannote[1293].speaker SPEAKER_15
transcript.pyannote[1293].start 7246.39221875
transcript.pyannote[1293].end 7247.84346875
transcript.pyannote[1294].speaker SPEAKER_02
transcript.pyannote[1294].start 7251.64034375
transcript.pyannote[1294].end 7254.05346875
transcript.pyannote[1295].speaker SPEAKER_02
transcript.pyannote[1295].start 7254.35721875
transcript.pyannote[1295].end 7256.71971875
transcript.pyannote[1296].speaker SPEAKER_02
transcript.pyannote[1296].start 7257.29346875
transcript.pyannote[1296].end 7258.59284375
transcript.pyannote[1297].speaker SPEAKER_02
transcript.pyannote[1297].start 7258.96409375
transcript.pyannote[1297].end 7261.07346875
transcript.pyannote[1298].speaker SPEAKER_02
transcript.pyannote[1298].start 7261.44471875
transcript.pyannote[1298].end 7262.11971875
transcript.pyannote[1299].speaker SPEAKER_02
transcript.pyannote[1299].start 7262.60909375
transcript.pyannote[1299].end 7267.75596875
transcript.pyannote[1300].speaker SPEAKER_02
transcript.pyannote[1300].start 7267.80659375
transcript.pyannote[1300].end 7270.70909375
transcript.pyannote[1301].speaker SPEAKER_02
transcript.pyannote[1301].start 7270.96221875
transcript.pyannote[1301].end 7273.17284375
transcript.pyannote[1302].speaker SPEAKER_02
transcript.pyannote[1302].start 7273.29096875
transcript.pyannote[1302].end 7274.37096875
transcript.pyannote[1303].speaker SPEAKER_02
transcript.pyannote[1303].start 7274.92784375
transcript.pyannote[1303].end 7281.49221875
transcript.pyannote[1304].speaker SPEAKER_00
transcript.pyannote[1304].start 7274.97846875
transcript.pyannote[1304].end 7276.02471875
transcript.pyannote[1305].speaker SPEAKER_13
transcript.pyannote[1305].start 7276.02471875
transcript.pyannote[1305].end 7276.07534375
transcript.pyannote[1306].speaker SPEAKER_00
transcript.pyannote[1306].start 7276.07534375
transcript.pyannote[1306].end 7276.37909375
transcript.pyannote[1307].speaker SPEAKER_15
transcript.pyannote[1307].start 7279.23096875
transcript.pyannote[1307].end 7279.78784375
transcript.pyannote[1308].speaker SPEAKER_00
transcript.pyannote[1308].start 7279.78784375
transcript.pyannote[1308].end 7279.88909375
transcript.pyannote[1309].speaker SPEAKER_02
transcript.pyannote[1309].start 7282.21784375
transcript.pyannote[1309].end 7282.97721875
transcript.pyannote[1310].speaker SPEAKER_15
transcript.pyannote[1310].start 7282.97721875
transcript.pyannote[1310].end 7283.50034375
transcript.pyannote[1311].speaker SPEAKER_02
transcript.pyannote[1311].start 7283.50034375
transcript.pyannote[1311].end 7293.38909375
transcript.pyannote[1312].speaker SPEAKER_15
transcript.pyannote[1312].start 7284.27659375
transcript.pyannote[1312].end 7284.91784375
transcript.pyannote[1313].speaker SPEAKER_15
transcript.pyannote[1313].start 7293.38909375
transcript.pyannote[1313].end 7293.40596875
transcript.pyannote[1314].speaker SPEAKER_02
transcript.pyannote[1314].start 7294.03034375
transcript.pyannote[1314].end 7294.06409375
transcript.pyannote[1315].speaker SPEAKER_15
transcript.pyannote[1315].start 7294.06409375
transcript.pyannote[1315].end 7298.04659375
transcript.pyannote[1316].speaker SPEAKER_02
transcript.pyannote[1316].start 7294.14846875
transcript.pyannote[1316].end 7295.26221875
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 7298.33346875
transcript.pyannote[1317].end 7308.03659375
transcript.pyannote[1318].speaker SPEAKER_02
transcript.pyannote[1318].start 7308.03659375
transcript.pyannote[1318].end 7315.51221875
transcript.pyannote[1319].speaker SPEAKER_15
transcript.pyannote[1319].start 7311.93471875
transcript.pyannote[1319].end 7312.37346875
transcript.pyannote[1320].speaker SPEAKER_02
transcript.pyannote[1320].start 7315.96784375
transcript.pyannote[1320].end 7320.84471875
transcript.pyannote[1321].speaker SPEAKER_02
transcript.pyannote[1321].start 7321.31721875
transcript.pyannote[1321].end 7322.70096875
transcript.pyannote[1322].speaker SPEAKER_02
transcript.pyannote[1322].start 7323.24096875
transcript.pyannote[1322].end 7331.74596875
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 7327.61159375
transcript.pyannote[1323].end 7331.76284375
transcript.pyannote[1324].speaker SPEAKER_02
transcript.pyannote[1324].start 7331.76284375
transcript.pyannote[1324].end 7333.21409375
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 7331.79659375
transcript.pyannote[1325].end 7334.93534375
transcript.pyannote[1326].speaker SPEAKER_02
transcript.pyannote[1326].start 7334.93534375
transcript.pyannote[1326].end 7334.95221875
transcript.pyannote[1327].speaker SPEAKER_15
transcript.pyannote[1327].start 7334.95221875
transcript.pyannote[1327].end 7334.96909375
transcript.pyannote[1328].speaker SPEAKER_02
transcript.pyannote[1328].start 7334.96909375
transcript.pyannote[1328].end 7354.08846875
transcript.pyannote[1329].speaker SPEAKER_00
transcript.pyannote[1329].start 7341.38159375
transcript.pyannote[1329].end 7341.41534375
transcript.pyannote[1330].speaker SPEAKER_14
transcript.pyannote[1330].start 7341.41534375
transcript.pyannote[1330].end 7342.10721875
transcript.pyannote[1331].speaker SPEAKER_14
transcript.pyannote[1331].start 7346.78159375
transcript.pyannote[1331].end 7348.23284375
transcript.pyannote[1332].speaker SPEAKER_02
transcript.pyannote[1332].start 7354.39221875
transcript.pyannote[1332].end 7363.36971875
transcript.pyannote[1333].speaker SPEAKER_15
transcript.pyannote[1333].start 7354.42596875
transcript.pyannote[1333].end 7356.94034375
transcript.pyannote[1334].speaker SPEAKER_15
transcript.pyannote[1334].start 7359.65721875
transcript.pyannote[1334].end 7360.63596875
transcript.pyannote[1335].speaker SPEAKER_02
transcript.pyannote[1335].start 7363.79159375
transcript.pyannote[1335].end 7369.59659375
transcript.pyannote[1336].speaker SPEAKER_02
transcript.pyannote[1336].start 7370.49096875
transcript.pyannote[1336].end 7371.99284375
transcript.pyannote[1337].speaker SPEAKER_02
transcript.pyannote[1337].start 7373.10659375
transcript.pyannote[1337].end 7374.89534375
transcript.pyannote[1338].speaker SPEAKER_02
transcript.pyannote[1338].start 7376.22846875
transcript.pyannote[1338].end 7377.49409375
transcript.pyannote[1339].speaker SPEAKER_02
transcript.pyannote[1339].start 7378.89471875
transcript.pyannote[1339].end 7381.44284375
transcript.pyannote[1340].speaker SPEAKER_02
transcript.pyannote[1340].start 7384.63221875
transcript.pyannote[1340].end 7386.01596875
transcript.pyannote[1341].speaker SPEAKER_02
transcript.pyannote[1341].start 7386.55596875
transcript.pyannote[1341].end 7389.45846875
transcript.pyannote[1342].speaker SPEAKER_02
transcript.pyannote[1342].start 7389.64409375
transcript.pyannote[1342].end 7390.75784375
transcript.pyannote[1343].speaker SPEAKER_02
transcript.pyannote[1343].start 7392.32721875
transcript.pyannote[1343].end 7394.33534375
transcript.pyannote[1344].speaker SPEAKER_02
transcript.pyannote[1344].start 7395.73596875
transcript.pyannote[1344].end 7397.81159375
transcript.pyannote[1345].speaker SPEAKER_02
transcript.pyannote[1345].start 7398.33471875
transcript.pyannote[1345].end 7399.78596875
transcript.pyannote[1346].speaker SPEAKER_02
transcript.pyannote[1346].start 7400.71409375
transcript.pyannote[1346].end 7407.48096875
transcript.pyannote[1347].speaker SPEAKER_21
transcript.pyannote[1347].start 7402.94159375
transcript.pyannote[1347].end 7403.48159375
transcript.pyannote[1348].speaker SPEAKER_02
transcript.pyannote[1348].start 7407.86909375
transcript.pyannote[1348].end 7409.77596875
transcript.pyannote[1349].speaker SPEAKER_02
transcript.pyannote[1349].start 7410.26534375
transcript.pyannote[1349].end 7411.69971875
transcript.pyannote[1350].speaker SPEAKER_02
transcript.pyannote[1350].start 7412.30721875
transcript.pyannote[1350].end 7412.99909375
transcript.pyannote[1351].speaker SPEAKER_02
transcript.pyannote[1351].start 7413.89346875
transcript.pyannote[1351].end 7416.96471875
transcript.pyannote[1352].speaker SPEAKER_15
transcript.pyannote[1352].start 7416.96471875
transcript.pyannote[1352].end 7418.61846875
transcript.pyannote[1353].speaker SPEAKER_02
transcript.pyannote[1353].start 7417.35284375
transcript.pyannote[1353].end 7420.91346875
transcript.pyannote[1354].speaker SPEAKER_02
transcript.pyannote[1354].start 7421.08221875
transcript.pyannote[1354].end 7427.41034375
transcript.pyannote[1355].speaker SPEAKER_15
transcript.pyannote[1355].start 7423.32659375
transcript.pyannote[1355].end 7423.57971875
transcript.pyannote[1356].speaker SPEAKER_15
transcript.pyannote[1356].start 7427.02221875
transcript.pyannote[1356].end 7428.35534375
transcript.pyannote[1357].speaker SPEAKER_02
transcript.pyannote[1357].start 7428.15284375
transcript.pyannote[1357].end 7431.32534375
transcript.pyannote[1358].speaker SPEAKER_02
transcript.pyannote[1358].start 7431.78096875
transcript.pyannote[1358].end 7433.78909375
transcript.pyannote[1359].speaker SPEAKER_02
transcript.pyannote[1359].start 7433.94096875
transcript.pyannote[1359].end 7436.94471875
transcript.pyannote[1360].speaker SPEAKER_02
transcript.pyannote[1360].start 7437.26534375
transcript.pyannote[1360].end 7440.94409375
transcript.pyannote[1361].speaker SPEAKER_29
transcript.pyannote[1361].start 7441.51784375
transcript.pyannote[1361].end 7441.66971875
transcript.pyannote[1362].speaker SPEAKER_02
transcript.pyannote[1362].start 7441.66971875
transcript.pyannote[1362].end 7443.28971875
transcript.pyannote[1363].speaker SPEAKER_29
transcript.pyannote[1363].start 7441.68659375
transcript.pyannote[1363].end 7441.70346875
transcript.pyannote[1364].speaker SPEAKER_02
transcript.pyannote[1364].start 7443.71159375
transcript.pyannote[1364].end 7445.04471875
transcript.pyannote[1365].speaker SPEAKER_02
transcript.pyannote[1365].start 7445.90534375
transcript.pyannote[1365].end 7447.28909375
transcript.pyannote[1366].speaker SPEAKER_02
transcript.pyannote[1366].start 7448.77409375
transcript.pyannote[1366].end 7450.12409375
transcript.pyannote[1367].speaker SPEAKER_02
transcript.pyannote[1367].start 7450.29284375
transcript.pyannote[1367].end 7454.57909375
transcript.pyannote[1368].speaker SPEAKER_02
transcript.pyannote[1368].start 7454.98409375
transcript.pyannote[1368].end 7456.24971875
transcript.pyannote[1369].speaker SPEAKER_02
transcript.pyannote[1369].start 7456.75596875
transcript.pyannote[1369].end 7461.00846875
transcript.pyannote[1370].speaker SPEAKER_15
transcript.pyannote[1370].start 7459.30409375
transcript.pyannote[1370].end 7460.19846875
transcript.pyannote[1371].speaker SPEAKER_02
transcript.pyannote[1371].start 7461.34596875
transcript.pyannote[1371].end 7462.10534375
transcript.pyannote[1372].speaker SPEAKER_02
transcript.pyannote[1372].start 7462.71284375
transcript.pyannote[1372].end 7463.48909375
transcript.pyannote[1373].speaker SPEAKER_02
transcript.pyannote[1373].start 7464.01221875
transcript.pyannote[1373].end 7464.02909375
transcript.pyannote[1374].speaker SPEAKER_15
transcript.pyannote[1374].start 7464.02909375
transcript.pyannote[1374].end 7464.04596875
transcript.pyannote[1375].speaker SPEAKER_02
transcript.pyannote[1375].start 7464.04596875
transcript.pyannote[1375].end 7470.22221875
transcript.pyannote[1376].speaker SPEAKER_15
transcript.pyannote[1376].start 7464.18096875
transcript.pyannote[1376].end 7464.88971875
transcript.pyannote[1377].speaker SPEAKER_15
transcript.pyannote[1377].start 7468.70346875
transcript.pyannote[1377].end 7469.00721875
transcript.pyannote[1378].speaker SPEAKER_15
transcript.pyannote[1378].start 7469.49659375
transcript.pyannote[1378].end 7472.02784375
transcript.pyannote[1379].speaker SPEAKER_02
transcript.pyannote[1379].start 7470.52596875
transcript.pyannote[1379].end 7474.96409375
transcript.pyannote[1380].speaker SPEAKER_20
transcript.pyannote[1380].start 7472.02784375
transcript.pyannote[1380].end 7477.20846875
transcript.pyannote[1381].speaker SPEAKER_21
transcript.pyannote[1381].start 7474.96409375
transcript.pyannote[1381].end 7476.60096875
transcript.pyannote[1382].speaker SPEAKER_21
transcript.pyannote[1382].start 7478.77784375
transcript.pyannote[1382].end 7479.75659375
transcript.pyannote[1383].speaker SPEAKER_21
transcript.pyannote[1383].start 7489.83096875
transcript.pyannote[1383].end 7491.23159375
transcript.pyannote[1384].speaker SPEAKER_21
transcript.pyannote[1384].start 7491.53534375
transcript.pyannote[1384].end 7492.46346875
transcript.pyannote[1385].speaker SPEAKER_21
transcript.pyannote[1385].start 7502.55471875
transcript.pyannote[1385].end 7504.17471875
transcript.pyannote[1386].speaker SPEAKER_21
transcript.pyannote[1386].start 7504.69784375
transcript.pyannote[1386].end 7505.84534375
transcript.pyannote[1387].speaker SPEAKER_34
transcript.pyannote[1387].start 7513.70909375
transcript.pyannote[1387].end 7514.18159375
transcript.pyannote[1388].speaker SPEAKER_34
transcript.pyannote[1388].start 7514.46846875
transcript.pyannote[1388].end 7515.49784375
transcript.pyannote[1389].speaker SPEAKER_34
transcript.pyannote[1389].start 7515.68346875
transcript.pyannote[1389].end 7589.15721875
transcript.pyannote[1390].speaker SPEAKER_15
transcript.pyannote[1390].start 7589.68034375
transcript.pyannote[1390].end 7593.46034375
transcript.pyannote[1391].speaker SPEAKER_15
transcript.pyannote[1391].start 7594.16909375
transcript.pyannote[1391].end 7600.00784375
transcript.pyannote[1392].speaker SPEAKER_28
transcript.pyannote[1392].start 7597.47659375
transcript.pyannote[1392].end 7597.76346875
transcript.pyannote[1393].speaker SPEAKER_33
transcript.pyannote[1393].start 7597.76346875
transcript.pyannote[1393].end 7597.79721875
transcript.pyannote[1394].speaker SPEAKER_15
transcript.pyannote[1394].start 7600.29471875
transcript.pyannote[1394].end 7600.61534375
transcript.pyannote[1395].speaker SPEAKER_15
transcript.pyannote[1395].start 7600.80096875
transcript.pyannote[1395].end 7604.05784375
transcript.pyannote[1396].speaker SPEAKER_15
transcript.pyannote[1396].start 7604.74971875
transcript.pyannote[1396].end 7607.29784375
transcript.pyannote[1397].speaker SPEAKER_15
transcript.pyannote[1397].start 7608.64784375
transcript.pyannote[1397].end 7609.03596875
transcript.pyannote[1398].speaker SPEAKER_34
transcript.pyannote[1398].start 7609.03596875
transcript.pyannote[1398].end 7619.86971875
transcript.pyannote[1399].speaker SPEAKER_34
transcript.pyannote[1399].start 7620.34221875
transcript.pyannote[1399].end 7633.35284375
transcript.pyannote[1400].speaker SPEAKER_34
transcript.pyannote[1400].start 7634.14596875
transcript.pyannote[1400].end 7643.98409375
transcript.pyannote[1401].speaker SPEAKER_34
transcript.pyannote[1401].start 7644.38909375
transcript.pyannote[1401].end 7673.97096875
transcript.pyannote[1402].speaker SPEAKER_15
transcript.pyannote[1402].start 7673.97096875
transcript.pyannote[1402].end 7682.44221875
transcript.pyannote[1403].speaker SPEAKER_15
transcript.pyannote[1403].start 7682.96534375
transcript.pyannote[1403].end 7685.51346875
transcript.pyannote[1404].speaker SPEAKER_15
transcript.pyannote[1404].start 7685.93534375
transcript.pyannote[1404].end 7687.99409375
transcript.pyannote[1405].speaker SPEAKER_15
transcript.pyannote[1405].start 7688.41596875
transcript.pyannote[1405].end 7689.76596875
transcript.pyannote[1406].speaker SPEAKER_15
transcript.pyannote[1406].start 7690.20471875
transcript.pyannote[1406].end 7692.46596875
transcript.pyannote[1407].speaker SPEAKER_15
transcript.pyannote[1407].start 7692.48284375
transcript.pyannote[1407].end 7696.48221875
transcript.pyannote[1408].speaker SPEAKER_15
transcript.pyannote[1408].start 7696.81971875
transcript.pyannote[1408].end 7714.47096875
transcript.pyannote[1409].speaker SPEAKER_34
transcript.pyannote[1409].start 7713.50909375
transcript.pyannote[1409].end 7713.54284375
transcript.pyannote[1410].speaker SPEAKER_34
transcript.pyannote[1410].start 7714.47096875
transcript.pyannote[1410].end 7766.02409375
transcript.pyannote[1411].speaker SPEAKER_34
transcript.pyannote[1411].start 7766.24346875
transcript.pyannote[1411].end 7783.79346875
transcript.pyannote[1412].speaker SPEAKER_34
transcript.pyannote[1412].start 7784.23221875
transcript.pyannote[1412].end 7785.12659375
transcript.pyannote[1413].speaker SPEAKER_34
transcript.pyannote[1413].start 7785.63284375
transcript.pyannote[1413].end 7790.98221875
transcript.pyannote[1414].speaker SPEAKER_15
transcript.pyannote[1414].start 7790.71221875
transcript.pyannote[1414].end 7790.86409375
transcript.pyannote[1415].speaker SPEAKER_15
transcript.pyannote[1415].start 7790.98221875
transcript.pyannote[1415].end 7802.54159375
transcript.pyannote[1416].speaker SPEAKER_15
transcript.pyannote[1416].start 7802.82846875
transcript.pyannote[1416].end 7818.20159375
transcript.pyannote[1417].speaker SPEAKER_15
transcript.pyannote[1417].start 7818.38721875
transcript.pyannote[1417].end 7827.24659375
transcript.pyannote[1418].speaker SPEAKER_34
transcript.pyannote[1418].start 7827.01034375
transcript.pyannote[1418].end 7836.59534375
transcript.pyannote[1419].speaker SPEAKER_15
transcript.pyannote[1419].start 7827.95534375
transcript.pyannote[1419].end 7828.54596875
transcript.pyannote[1420].speaker SPEAKER_34
transcript.pyannote[1420].start 7836.79784375
transcript.pyannote[1420].end 7856.35596875
transcript.pyannote[1421].speaker SPEAKER_34
transcript.pyannote[1421].start 7858.83659375
transcript.pyannote[1421].end 7859.25846875
transcript.pyannote[1422].speaker SPEAKER_34
transcript.pyannote[1422].start 7859.64659375
transcript.pyannote[1422].end 7867.05471875
transcript.pyannote[1423].speaker SPEAKER_34
transcript.pyannote[1423].start 7867.30784375
transcript.pyannote[1423].end 7868.74221875
transcript.pyannote[1424].speaker SPEAKER_15
transcript.pyannote[1424].start 7868.74221875
transcript.pyannote[1424].end 7878.69846875
transcript.pyannote[1425].speaker SPEAKER_34
transcript.pyannote[1425].start 7870.53096875
transcript.pyannote[1425].end 7870.75034375
transcript.pyannote[1426].speaker SPEAKER_34
transcript.pyannote[1426].start 7877.66909375
transcript.pyannote[1426].end 7917.64596875
transcript.pyannote[1427].speaker SPEAKER_34
transcript.pyannote[1427].start 7917.93284375
transcript.pyannote[1427].end 7926.03284375
transcript.pyannote[1428].speaker SPEAKER_15
transcript.pyannote[1428].start 7927.63596875
transcript.pyannote[1428].end 7928.96909375
transcript.pyannote[1429].speaker SPEAKER_22
transcript.pyannote[1429].start 7928.96909375
transcript.pyannote[1429].end 7929.39096875
transcript.pyannote[1430].speaker SPEAKER_34
transcript.pyannote[1430].start 7929.96471875
transcript.pyannote[1430].end 7930.33596875
transcript.pyannote[1431].speaker SPEAKER_34
transcript.pyannote[1431].start 7930.50471875
transcript.pyannote[1431].end 7931.50034375
transcript.pyannote[1432].speaker SPEAKER_22
transcript.pyannote[1432].start 7932.31034375
transcript.pyannote[1432].end 7934.82471875
transcript.pyannote[1433].speaker SPEAKER_22
transcript.pyannote[1433].start 7935.22971875
transcript.pyannote[1433].end 7940.49471875
transcript.pyannote[1434].speaker SPEAKER_34
transcript.pyannote[1434].start 7938.60471875
transcript.pyannote[1434].end 7939.14471875
transcript.pyannote[1435].speaker SPEAKER_34
transcript.pyannote[1435].start 7940.59596875
transcript.pyannote[1435].end 7944.39284375
transcript.pyannote[1436].speaker SPEAKER_22
transcript.pyannote[1436].start 7945.75971875
transcript.pyannote[1436].end 7950.11346875
transcript.pyannote[1437].speaker SPEAKER_34
transcript.pyannote[1437].start 7950.11346875
transcript.pyannote[1437].end 7955.02409375
transcript.pyannote[1438].speaker SPEAKER_34
transcript.pyannote[1438].start 7955.63159375
transcript.pyannote[1438].end 7962.41534375
transcript.pyannote[1439].speaker SPEAKER_34
transcript.pyannote[1439].start 7962.87096875
transcript.pyannote[1439].end 7967.74784375
transcript.pyannote[1440].speaker SPEAKER_34
transcript.pyannote[1440].start 7967.95034375
transcript.pyannote[1440].end 8010.93096875
transcript.pyannote[1441].speaker SPEAKER_34
transcript.pyannote[1441].start 8012.02784375
transcript.pyannote[1441].end 8015.53784375
transcript.pyannote[1442].speaker SPEAKER_22
transcript.pyannote[1442].start 8015.79096875
transcript.pyannote[1442].end 8024.54909375
transcript.pyannote[1443].speaker SPEAKER_34
transcript.pyannote[1443].start 8023.43534375
transcript.pyannote[1443].end 8023.92471875
transcript.pyannote[1444].speaker SPEAKER_34
transcript.pyannote[1444].start 8024.19471875
transcript.pyannote[1444].end 8047.02659375
transcript.pyannote[1445].speaker SPEAKER_34
transcript.pyannote[1445].start 8047.22909375
transcript.pyannote[1445].end 8048.73096875
transcript.pyannote[1446].speaker SPEAKER_20
transcript.pyannote[1446].start 8049.47346875
transcript.pyannote[1446].end 8049.91221875
transcript.pyannote[1447].speaker SPEAKER_34
transcript.pyannote[1447].start 8049.87846875
transcript.pyannote[1447].end 8062.80471875
transcript.pyannote[1448].speaker SPEAKER_15
transcript.pyannote[1448].start 8058.19784375
transcript.pyannote[1448].end 8058.21471875
transcript.pyannote[1449].speaker SPEAKER_15
transcript.pyannote[1449].start 8059.86846875
transcript.pyannote[1449].end 8061.75846875
transcript.pyannote[1450].speaker SPEAKER_15
transcript.pyannote[1450].start 8062.41659375
transcript.pyannote[1450].end 8062.83846875
transcript.pyannote[1451].speaker SPEAKER_34
transcript.pyannote[1451].start 8062.83846875
transcript.pyannote[1451].end 8062.95659375
transcript.pyannote[1452].speaker SPEAKER_15
transcript.pyannote[1452].start 8063.12534375
transcript.pyannote[1452].end 8067.42846875
transcript.pyannote[1453].speaker SPEAKER_34
transcript.pyannote[1453].start 8067.42846875
transcript.pyannote[1453].end 8067.59721875
transcript.pyannote[1454].speaker SPEAKER_15
transcript.pyannote[1454].start 8067.59721875
transcript.pyannote[1454].end 8069.03159375
transcript.pyannote[1455].speaker SPEAKER_34
transcript.pyannote[1455].start 8069.03159375
transcript.pyannote[1455].end 8080.55721875
transcript.pyannote[1456].speaker SPEAKER_15
transcript.pyannote[1456].start 8079.89909375
transcript.pyannote[1456].end 8082.29534375
transcript.pyannote[1457].speaker SPEAKER_34
transcript.pyannote[1457].start 8082.29534375
transcript.pyannote[1457].end 8083.03784375
transcript.pyannote[1458].speaker SPEAKER_15
transcript.pyannote[1458].start 8082.39659375
transcript.pyannote[1458].end 8082.93659375
transcript.pyannote[1459].speaker SPEAKER_15
transcript.pyannote[1459].start 8083.40909375
transcript.pyannote[1459].end 8084.03346875
transcript.pyannote[1460].speaker SPEAKER_21
transcript.pyannote[1460].start 8084.03346875
transcript.pyannote[1460].end 8084.15159375
transcript.pyannote[1461].speaker SPEAKER_15
transcript.pyannote[1461].start 8084.15159375
transcript.pyannote[1461].end 8084.16846875
transcript.pyannote[1462].speaker SPEAKER_21
transcript.pyannote[1462].start 8085.55221875
transcript.pyannote[1462].end 8086.44659375
transcript.pyannote[1463].speaker SPEAKER_21
transcript.pyannote[1463].start 8087.62784375
transcript.pyannote[1463].end 8088.62346875
transcript.pyannote[1464].speaker SPEAKER_21
transcript.pyannote[1464].start 8090.42909375
transcript.pyannote[1464].end 8091.17159375
transcript.pyannote[1465].speaker SPEAKER_21
transcript.pyannote[1465].start 8092.16721875
transcript.pyannote[1465].end 8092.74096875
transcript.pyannote[1466].speaker SPEAKER_21
transcript.pyannote[1466].start 8093.39909375
transcript.pyannote[1466].end 8094.93471875
transcript.pyannote[1467].speaker SPEAKER_29
transcript.pyannote[1467].start 8095.42409375
transcript.pyannote[1467].end 8096.03159375
transcript.pyannote[1468].speaker SPEAKER_21
transcript.pyannote[1468].start 8590.26659375
transcript.pyannote[1468].end 8593.15221875
transcript.pyannote[1469].speaker SPEAKER_29
transcript.pyannote[1469].start 8594.65409375
transcript.pyannote[1469].end 8594.94096875
transcript.pyannote[1470].speaker SPEAKER_21
transcript.pyannote[1470].start 8600.08784375
transcript.pyannote[1470].end 8600.25659375
transcript.pyannote[1471].speaker SPEAKER_21
transcript.pyannote[1471].start 8602.55159375
transcript.pyannote[1471].end 8606.19659375
transcript.pyannote[1472].speaker SPEAKER_21
transcript.pyannote[1472].start 8617.21596875
transcript.pyannote[1472].end 8617.38471875
transcript.pyannote[1473].speaker SPEAKER_21
transcript.pyannote[1473].start 8618.31284375
transcript.pyannote[1473].end 8619.51096875
transcript.pyannote[1474].speaker SPEAKER_33
transcript.pyannote[1474].start 8620.97909375
transcript.pyannote[1474].end 8622.81846875
transcript.pyannote[1475].speaker SPEAKER_21
transcript.pyannote[1475].start 8623.05471875
transcript.pyannote[1475].end 8624.18534375
transcript.pyannote[1476].speaker SPEAKER_33
transcript.pyannote[1476].start 8626.31159375
transcript.pyannote[1476].end 8639.99721875
transcript.pyannote[1477].speaker SPEAKER_15
transcript.pyannote[1477].start 8640.14909375
transcript.pyannote[1477].end 8645.02596875
transcript.pyannote[1478].speaker SPEAKER_15
transcript.pyannote[1478].start 8645.49846875
transcript.pyannote[1478].end 8658.57659375
transcript.pyannote[1479].speaker SPEAKER_15
transcript.pyannote[1479].start 8659.25159375
transcript.pyannote[1479].end 8672.68409375
transcript.pyannote[1480].speaker SPEAKER_29
transcript.pyannote[1480].start 8672.34659375
transcript.pyannote[1480].end 8672.65034375
transcript.pyannote[1481].speaker SPEAKER_29
transcript.pyannote[1481].start 8672.68409375
transcript.pyannote[1481].end 8672.70096875
transcript.pyannote[1482].speaker SPEAKER_15
transcript.pyannote[1482].start 8672.70096875
transcript.pyannote[1482].end 8672.73471875
transcript.pyannote[1483].speaker SPEAKER_15
transcript.pyannote[1483].start 8673.15659375
transcript.pyannote[1483].end 8676.05909375
transcript.pyannote[1484].speaker SPEAKER_15
transcript.pyannote[1484].start 8676.61596875
transcript.pyannote[1484].end 8677.39221875
transcript.pyannote[1485].speaker SPEAKER_15
transcript.pyannote[1485].start 8678.25284375
transcript.pyannote[1485].end 8682.04971875
transcript.pyannote[1486].speaker SPEAKER_33
transcript.pyannote[1486].start 8681.61096875
transcript.pyannote[1486].end 8691.73596875
transcript.pyannote[1487].speaker SPEAKER_15
transcript.pyannote[1487].start 8692.02284375
transcript.pyannote[1487].end 8701.81034375
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 8702.48534375
transcript.pyannote[1488].end 8703.98721875
transcript.pyannote[1489].speaker SPEAKER_15
transcript.pyannote[1489].start 8704.37534375
transcript.pyannote[1489].end 8706.33284375
transcript.pyannote[1490].speaker SPEAKER_15
transcript.pyannote[1490].start 8706.92346875
transcript.pyannote[1490].end 8707.66596875
transcript.pyannote[1491].speaker SPEAKER_15
transcript.pyannote[1491].start 8708.20596875
transcript.pyannote[1491].end 8708.88096875
transcript.pyannote[1492].speaker SPEAKER_15
transcript.pyannote[1492].start 8709.18471875
transcript.pyannote[1492].end 8715.37784375
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 8716.15409375
transcript.pyannote[1493].end 8717.43659375
transcript.pyannote[1494].speaker SPEAKER_15
transcript.pyannote[1494].start 8717.68971875
transcript.pyannote[1494].end 8725.38471875
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 8725.89096875
transcript.pyannote[1495].end 8733.46784375
transcript.pyannote[1496].speaker SPEAKER_15
transcript.pyannote[1496].start 8734.14284375
transcript.pyannote[1496].end 8747.45721875
transcript.pyannote[1497].speaker SPEAKER_15
transcript.pyannote[1497].start 8748.26721875
transcript.pyannote[1497].end 8752.40159375
transcript.pyannote[1498].speaker SPEAKER_15
transcript.pyannote[1498].start 8752.94159375
transcript.pyannote[1498].end 8754.02159375
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 8754.88221875
transcript.pyannote[1499].end 8755.67534375
transcript.pyannote[1500].speaker SPEAKER_15
transcript.pyannote[1500].start 8756.01284375
transcript.pyannote[1500].end 8756.55284375
transcript.pyannote[1501].speaker SPEAKER_33
transcript.pyannote[1501].start 8756.83971875
transcript.pyannote[1501].end 8790.84284375
transcript.pyannote[1502].speaker SPEAKER_15
transcript.pyannote[1502].start 8790.84284375
transcript.pyannote[1502].end 8796.83346875
transcript.pyannote[1503].speaker SPEAKER_15
transcript.pyannote[1503].start 8797.74471875
transcript.pyannote[1503].end 8803.58346875
transcript.pyannote[1504].speaker SPEAKER_15
transcript.pyannote[1504].start 8804.25846875
transcript.pyannote[1504].end 8807.41409375
transcript.pyannote[1505].speaker SPEAKER_15
transcript.pyannote[1505].start 8807.59971875
transcript.pyannote[1505].end 8807.63346875
transcript.pyannote[1506].speaker SPEAKER_33
transcript.pyannote[1506].start 8807.63346875
transcript.pyannote[1506].end 8807.65034375
transcript.pyannote[1507].speaker SPEAKER_15
transcript.pyannote[1507].start 8807.65034375
transcript.pyannote[1507].end 8807.75159375
transcript.pyannote[1508].speaker SPEAKER_33
transcript.pyannote[1508].start 8807.75159375
transcript.pyannote[1508].end 8807.80221875
transcript.pyannote[1509].speaker SPEAKER_15
transcript.pyannote[1509].start 8807.80221875
transcript.pyannote[1509].end 8807.81909375
transcript.pyannote[1510].speaker SPEAKER_33
transcript.pyannote[1510].start 8807.81909375
transcript.pyannote[1510].end 8807.83596875
transcript.pyannote[1511].speaker SPEAKER_15
transcript.pyannote[1511].start 8807.83596875
transcript.pyannote[1511].end 8807.85284375
transcript.pyannote[1512].speaker SPEAKER_33
transcript.pyannote[1512].start 8807.85284375
transcript.pyannote[1512].end 8807.88659375
transcript.pyannote[1513].speaker SPEAKER_15
transcript.pyannote[1513].start 8807.88659375
transcript.pyannote[1513].end 8808.03846875
transcript.pyannote[1514].speaker SPEAKER_33
transcript.pyannote[1514].start 8808.03846875
transcript.pyannote[1514].end 8808.96659375
transcript.pyannote[1515].speaker SPEAKER_15
transcript.pyannote[1515].start 8808.96659375
transcript.pyannote[1515].end 8813.84346875
transcript.pyannote[1516].speaker SPEAKER_33
transcript.pyannote[1516].start 8813.84346875
transcript.pyannote[1516].end 8815.96971875
transcript.pyannote[1517].speaker SPEAKER_15
transcript.pyannote[1517].start 8816.15534375
transcript.pyannote[1517].end 8835.37596875
transcript.pyannote[1518].speaker SPEAKER_33
transcript.pyannote[1518].start 8822.36534375
transcript.pyannote[1518].end 8822.82096875
transcript.pyannote[1519].speaker SPEAKER_33
transcript.pyannote[1519].start 8823.63096875
transcript.pyannote[1519].end 8824.35659375
transcript.pyannote[1520].speaker SPEAKER_33
transcript.pyannote[1520].start 8835.17346875
transcript.pyannote[1520].end 8839.91534375
transcript.pyannote[1521].speaker SPEAKER_15
transcript.pyannote[1521].start 8840.30346875
transcript.pyannote[1521].end 8847.35721875
transcript.pyannote[1522].speaker SPEAKER_33
transcript.pyannote[1522].start 8846.64846875
transcript.pyannote[1522].end 8849.46659375
transcript.pyannote[1523].speaker SPEAKER_15
transcript.pyannote[1523].start 8850.32721875
transcript.pyannote[1523].end 8854.98471875
transcript.pyannote[1524].speaker SPEAKER_33
transcript.pyannote[1524].start 8854.57971875
transcript.pyannote[1524].end 8861.56596875
transcript.pyannote[1525].speaker SPEAKER_33
transcript.pyannote[1525].start 8861.75159375
transcript.pyannote[1525].end 8867.33721875
transcript.pyannote[1526].speaker SPEAKER_15
transcript.pyannote[1526].start 8867.33721875
transcript.pyannote[1526].end 8883.01409375
transcript.pyannote[1527].speaker SPEAKER_33
transcript.pyannote[1527].start 8882.77784375
transcript.pyannote[1527].end 8882.98034375
transcript.pyannote[1528].speaker SPEAKER_33
transcript.pyannote[1528].start 8883.01409375
transcript.pyannote[1528].end 8884.19534375
transcript.pyannote[1529].speaker SPEAKER_33
transcript.pyannote[1529].start 8884.48221875
transcript.pyannote[1529].end 8909.86221875
transcript.pyannote[1530].speaker SPEAKER_00
transcript.pyannote[1530].start 8896.46346875
transcript.pyannote[1530].end 8896.59846875
transcript.pyannote[1531].speaker SPEAKER_30
transcript.pyannote[1531].start 8896.59846875
transcript.pyannote[1531].end 8896.68284375
transcript.pyannote[1532].speaker SPEAKER_00
transcript.pyannote[1532].start 8896.68284375
transcript.pyannote[1532].end 8896.81784375
transcript.pyannote[1533].speaker SPEAKER_33
transcript.pyannote[1533].start 8910.50346875
transcript.pyannote[1533].end 8916.51096875
transcript.pyannote[1534].speaker SPEAKER_15
transcript.pyannote[1534].start 8916.51096875
transcript.pyannote[1534].end 8936.87909375
transcript.pyannote[1535].speaker SPEAKER_33
transcript.pyannote[1535].start 8936.25471875
transcript.pyannote[1535].end 8936.96346875
transcript.pyannote[1536].speaker SPEAKER_33
transcript.pyannote[1536].start 8937.63846875
transcript.pyannote[1536].end 8951.62784375
transcript.pyannote[1537].speaker SPEAKER_33
transcript.pyannote[1537].start 8952.57284375
transcript.pyannote[1537].end 8965.68471875
transcript.pyannote[1538].speaker SPEAKER_33
transcript.pyannote[1538].start 8965.70159375
transcript.pyannote[1538].end 8967.96284375
transcript.pyannote[1539].speaker SPEAKER_15
transcript.pyannote[1539].start 8967.96284375
transcript.pyannote[1539].end 8971.32096875
transcript.pyannote[1540].speaker SPEAKER_15
transcript.pyannote[1540].start 8972.36721875
transcript.pyannote[1540].end 8976.99096875
transcript.pyannote[1541].speaker SPEAKER_33
transcript.pyannote[1541].start 8972.38409375
transcript.pyannote[1541].end 8973.54846875
transcript.pyannote[1542].speaker SPEAKER_33
transcript.pyannote[1542].start 8973.71721875
transcript.pyannote[1542].end 8974.89846875
transcript.pyannote[1543].speaker SPEAKER_33
transcript.pyannote[1543].start 8975.06721875
transcript.pyannote[1543].end 8982.89721875
transcript.pyannote[1544].speaker SPEAKER_15
transcript.pyannote[1544].start 8977.07534375
transcript.pyannote[1544].end 8977.22721875
transcript.pyannote[1545].speaker SPEAKER_33
transcript.pyannote[1545].start 8983.20096875
transcript.pyannote[1545].end 8984.44971875
transcript.pyannote[1546].speaker SPEAKER_15
transcript.pyannote[1546].start 8984.66909375
transcript.pyannote[1546].end 8989.24221875
transcript.pyannote[1547].speaker SPEAKER_33
transcript.pyannote[1547].start 8986.93034375
transcript.pyannote[1547].end 8996.93721875
transcript.pyannote[1548].speaker SPEAKER_15
transcript.pyannote[1548].start 8990.22096875
transcript.pyannote[1548].end 8991.18284375
transcript.pyannote[1549].speaker SPEAKER_33
transcript.pyannote[1549].start 8997.08909375
transcript.pyannote[1549].end 9002.60721875
transcript.pyannote[1550].speaker SPEAKER_33
transcript.pyannote[1550].start 9003.13034375
transcript.pyannote[1550].end 9006.20159375
transcript.pyannote[1551].speaker SPEAKER_15
transcript.pyannote[1551].start 9007.06221875
transcript.pyannote[1551].end 9011.01096875
transcript.pyannote[1552].speaker SPEAKER_33
transcript.pyannote[1552].start 9009.91409375
transcript.pyannote[1552].end 9017.50784375
transcript.pyannote[1553].speaker SPEAKER_15
transcript.pyannote[1553].start 9018.21659375
transcript.pyannote[1553].end 9020.25846875
transcript.pyannote[1554].speaker SPEAKER_15
transcript.pyannote[1554].start 9020.86596875
transcript.pyannote[1554].end 9022.50284375
transcript.pyannote[1555].speaker SPEAKER_15
transcript.pyannote[1555].start 9022.75596875
transcript.pyannote[1555].end 9027.34596875
transcript.pyannote[1556].speaker SPEAKER_33
transcript.pyannote[1556].start 9024.03846875
transcript.pyannote[1556].end 9032.81346875
transcript.pyannote[1557].speaker SPEAKER_15
transcript.pyannote[1557].start 9028.40909375
transcript.pyannote[1557].end 9028.96596875
transcript.pyannote[1558].speaker SPEAKER_15
transcript.pyannote[1558].start 9029.48909375
transcript.pyannote[1558].end 9030.14721875
transcript.pyannote[1559].speaker SPEAKER_15
transcript.pyannote[1559].start 9032.81346875
transcript.pyannote[1559].end 9040.96409375
transcript.pyannote[1560].speaker SPEAKER_33
transcript.pyannote[1560].start 9040.50846875
transcript.pyannote[1560].end 9044.92971875
transcript.pyannote[1561].speaker SPEAKER_15
transcript.pyannote[1561].start 9042.31409375
transcript.pyannote[1561].end 9046.16159375
transcript.pyannote[1562].speaker SPEAKER_15
transcript.pyannote[1562].start 9046.43159375
transcript.pyannote[1562].end 9047.96721875
transcript.pyannote[1563].speaker SPEAKER_33
transcript.pyannote[1563].start 9047.52846875
transcript.pyannote[1563].end 9056.62409375
transcript.pyannote[1564].speaker SPEAKER_33
transcript.pyannote[1564].start 9058.09221875
transcript.pyannote[1564].end 9064.30221875
transcript.pyannote[1565].speaker SPEAKER_15
transcript.pyannote[1565].start 9058.19346875
transcript.pyannote[1565].end 9059.13846875
transcript.pyannote[1566].speaker SPEAKER_15
transcript.pyannote[1566].start 9062.86784375
transcript.pyannote[1566].end 9063.59346875
transcript.pyannote[1567].speaker SPEAKER_33
transcript.pyannote[1567].start 9065.04471875
transcript.pyannote[1567].end 9066.98534375
transcript.pyannote[1568].speaker SPEAKER_33
transcript.pyannote[1568].start 9067.12034375
transcript.pyannote[1568].end 9070.15784375
transcript.pyannote[1569].speaker SPEAKER_33
transcript.pyannote[1569].start 9070.54596875
transcript.pyannote[1569].end 9101.32596875
transcript.pyannote[1570].speaker SPEAKER_15
transcript.pyannote[1570].start 9097.20846875
transcript.pyannote[1570].end 9097.61346875
transcript.pyannote[1571].speaker SPEAKER_15
transcript.pyannote[1571].start 9099.89159375
transcript.pyannote[1571].end 9102.84471875
transcript.pyannote[1572].speaker SPEAKER_15
transcript.pyannote[1572].start 9103.04721875
transcript.pyannote[1572].end 9104.36346875
transcript.pyannote[1573].speaker SPEAKER_15
transcript.pyannote[1573].start 9104.83596875
transcript.pyannote[1573].end 9108.49784375
transcript.pyannote[1574].speaker SPEAKER_33
transcript.pyannote[1574].start 9107.01284375
transcript.pyannote[1574].end 9108.37971875
transcript.pyannote[1575].speaker SPEAKER_33
transcript.pyannote[1575].start 9108.49784375
transcript.pyannote[1575].end 9108.53159375
transcript.pyannote[1576].speaker SPEAKER_15
transcript.pyannote[1576].start 9108.53159375
transcript.pyannote[1576].end 9108.54846875
transcript.pyannote[1577].speaker SPEAKER_33
transcript.pyannote[1577].start 9108.54846875
transcript.pyannote[1577].end 9109.34159375
transcript.pyannote[1578].speaker SPEAKER_15
transcript.pyannote[1578].start 9109.34159375
transcript.pyannote[1578].end 9123.33096875
transcript.pyannote[1579].speaker SPEAKER_33
transcript.pyannote[1579].start 9119.26409375
transcript.pyannote[1579].end 9119.95596875
transcript.pyannote[1580].speaker SPEAKER_15
transcript.pyannote[1580].start 9123.55034375
transcript.pyannote[1580].end 9127.92096875
transcript.pyannote[1581].speaker SPEAKER_33
transcript.pyannote[1581].start 9127.92096875
transcript.pyannote[1581].end 9164.80971875
transcript.pyannote[1582].speaker SPEAKER_15
transcript.pyannote[1582].start 9160.15221875
transcript.pyannote[1582].end 9161.60346875
transcript.pyannote[1583].speaker SPEAKER_15
transcript.pyannote[1583].start 9162.14346875
transcript.pyannote[1583].end 9162.53159375
transcript.pyannote[1584].speaker SPEAKER_15
transcript.pyannote[1584].start 9164.89409375
transcript.pyannote[1584].end 9166.32846875
transcript.pyannote[1585].speaker SPEAKER_33
transcript.pyannote[1585].start 9166.32846875
transcript.pyannote[1585].end 9185.93721875
transcript.pyannote[1586].speaker SPEAKER_15
transcript.pyannote[1586].start 9166.83471875
transcript.pyannote[1586].end 9167.34096875
transcript.pyannote[1587].speaker SPEAKER_20
transcript.pyannote[1587].start 9185.11034375
transcript.pyannote[1587].end 9185.46471875
transcript.pyannote[1588].speaker SPEAKER_20
transcript.pyannote[1588].start 9185.93721875
transcript.pyannote[1588].end 9188.67096875
transcript.pyannote[1589].speaker SPEAKER_33
transcript.pyannote[1589].start 9186.12284375
transcript.pyannote[1589].end 9187.67534375
transcript.pyannote[1590].speaker SPEAKER_20
transcript.pyannote[1590].start 9190.49346875
transcript.pyannote[1590].end 9191.37096875
transcript.pyannote[1591].speaker SPEAKER_20
transcript.pyannote[1591].start 9193.36221875
transcript.pyannote[1591].end 9193.96971875
transcript.pyannote[1592].speaker SPEAKER_21
transcript.pyannote[1592].start 9193.96971875
transcript.pyannote[1592].end 9198.93096875
transcript.pyannote[1593].speaker SPEAKER_21
transcript.pyannote[1593].start 9201.05721875
transcript.pyannote[1593].end 9203.74034375
transcript.pyannote[1594].speaker SPEAKER_25
transcript.pyannote[1594].start 9216.31221875
transcript.pyannote[1594].end 9218.64096875
transcript.pyannote[1595].speaker SPEAKER_25
transcript.pyannote[1595].start 9218.82659375
transcript.pyannote[1595].end 9220.27784375
transcript.pyannote[1596].speaker SPEAKER_26
transcript.pyannote[1596].start 9227.17971875
transcript.pyannote[1596].end 9228.15846875
transcript.pyannote[1597].speaker SPEAKER_26
transcript.pyannote[1597].start 9228.83346875
transcript.pyannote[1597].end 9231.09471875
transcript.pyannote[1598].speaker SPEAKER_26
transcript.pyannote[1598].start 9231.75284375
transcript.pyannote[1598].end 9234.35159375
transcript.pyannote[1599].speaker SPEAKER_26
transcript.pyannote[1599].start 9234.97596875
transcript.pyannote[1599].end 9237.15284375
transcript.pyannote[1600].speaker SPEAKER_26
transcript.pyannote[1600].start 9237.25409375
transcript.pyannote[1600].end 9237.99659375
transcript.pyannote[1601].speaker SPEAKER_26
transcript.pyannote[1601].start 9238.45221875
transcript.pyannote[1601].end 9241.37159375
transcript.pyannote[1602].speaker SPEAKER_26
transcript.pyannote[1602].start 9241.69221875
transcript.pyannote[1602].end 9243.59909375
transcript.pyannote[1603].speaker SPEAKER_26
transcript.pyannote[1603].start 9244.22346875
transcript.pyannote[1603].end 9246.18096875
transcript.pyannote[1604].speaker SPEAKER_26
transcript.pyannote[1604].start 9246.55221875
transcript.pyannote[1604].end 9247.61534375
transcript.pyannote[1605].speaker SPEAKER_26
transcript.pyannote[1605].start 9248.03721875
transcript.pyannote[1605].end 9250.26471875
transcript.pyannote[1606].speaker SPEAKER_26
transcript.pyannote[1606].start 9250.50096875
transcript.pyannote[1606].end 9252.79596875
transcript.pyannote[1607].speaker SPEAKER_26
transcript.pyannote[1607].start 9253.38659375
transcript.pyannote[1607].end 9257.53784375
transcript.pyannote[1608].speaker SPEAKER_26
transcript.pyannote[1608].start 9257.84159375
transcript.pyannote[1608].end 9263.62971875
transcript.pyannote[1609].speaker SPEAKER_26
transcript.pyannote[1609].start 9264.45659375
transcript.pyannote[1609].end 9266.05971875
transcript.pyannote[1610].speaker SPEAKER_26
transcript.pyannote[1610].start 9266.54909375
transcript.pyannote[1610].end 9267.10596875
transcript.pyannote[1611].speaker SPEAKER_26
transcript.pyannote[1611].start 9268.54034375
transcript.pyannote[1611].end 9269.40096875
transcript.pyannote[1612].speaker SPEAKER_26
transcript.pyannote[1612].start 9270.02534375
transcript.pyannote[1612].end 9272.84346875
transcript.pyannote[1613].speaker SPEAKER_26
transcript.pyannote[1613].start 9273.68721875
transcript.pyannote[1613].end 9278.19284375
transcript.pyannote[1614].speaker SPEAKER_26
transcript.pyannote[1614].start 9278.71596875
transcript.pyannote[1614].end 9282.41159375
transcript.pyannote[1615].speaker SPEAKER_26
transcript.pyannote[1615].start 9283.20471875
transcript.pyannote[1615].end 9286.42784375
transcript.pyannote[1616].speaker SPEAKER_26
transcript.pyannote[1616].start 9286.90034375
transcript.pyannote[1616].end 9289.31346875
transcript.pyannote[1617].speaker SPEAKER_26
transcript.pyannote[1617].start 9290.00534375
transcript.pyannote[1617].end 9291.70971875
transcript.pyannote[1618].speaker SPEAKER_26
transcript.pyannote[1618].start 9292.55346875
transcript.pyannote[1618].end 9293.66721875
transcript.pyannote[1619].speaker SPEAKER_26
transcript.pyannote[1619].start 9294.34221875
transcript.pyannote[1619].end 9297.34596875
transcript.pyannote[1620].speaker SPEAKER_26
transcript.pyannote[1620].start 9298.12221875
transcript.pyannote[1620].end 9299.11784375
transcript.pyannote[1621].speaker SPEAKER_26
transcript.pyannote[1621].start 9299.69159375
transcript.pyannote[1621].end 9302.32409375
transcript.pyannote[1622].speaker SPEAKER_26
transcript.pyannote[1622].start 9302.81346875
transcript.pyannote[1622].end 9304.56846875
transcript.pyannote[1623].speaker SPEAKER_26
transcript.pyannote[1623].start 9305.07471875
transcript.pyannote[1623].end 9308.98971875
transcript.pyannote[1624].speaker SPEAKER_26
transcript.pyannote[1624].start 9309.58034375
transcript.pyannote[1624].end 9312.39846875
transcript.pyannote[1625].speaker SPEAKER_26
transcript.pyannote[1625].start 9312.85409375
transcript.pyannote[1625].end 9314.27159375
transcript.pyannote[1626].speaker SPEAKER_26
transcript.pyannote[1626].start 9315.03096875
transcript.pyannote[1626].end 9315.62159375
transcript.pyannote[1627].speaker SPEAKER_26
transcript.pyannote[1627].start 9315.80721875
transcript.pyannote[1627].end 9316.58346875
transcript.pyannote[1628].speaker SPEAKER_26
transcript.pyannote[1628].start 9317.46096875
transcript.pyannote[1628].end 9319.30034375
transcript.pyannote[1629].speaker SPEAKER_26
transcript.pyannote[1629].start 9319.65471875
transcript.pyannote[1629].end 9320.34659375
transcript.pyannote[1630].speaker SPEAKER_26
transcript.pyannote[1630].start 9321.32534375
transcript.pyannote[1630].end 9324.41346875
transcript.pyannote[1631].speaker SPEAKER_26
transcript.pyannote[1631].start 9325.86471875
transcript.pyannote[1631].end 9328.68284375
transcript.pyannote[1632].speaker SPEAKER_26
transcript.pyannote[1632].start 9329.18909375
transcript.pyannote[1632].end 9330.53909375
transcript.pyannote[1633].speaker SPEAKER_26
transcript.pyannote[1633].start 9331.02846875
transcript.pyannote[1633].end 9331.72034375
transcript.pyannote[1634].speaker SPEAKER_26
transcript.pyannote[1634].start 9332.27721875
transcript.pyannote[1634].end 9332.61471875
transcript.pyannote[1635].speaker SPEAKER_26
transcript.pyannote[1635].start 9332.83409375
transcript.pyannote[1635].end 9334.21784375
transcript.pyannote[1636].speaker SPEAKER_26
transcript.pyannote[1636].start 9334.48784375
transcript.pyannote[1636].end 9337.93034375
transcript.pyannote[1637].speaker SPEAKER_26
transcript.pyannote[1637].start 9338.47034375
transcript.pyannote[1637].end 9340.74846875
transcript.pyannote[1638].speaker SPEAKER_26
transcript.pyannote[1638].start 9341.27159375
transcript.pyannote[1638].end 9343.71846875
transcript.pyannote[1639].speaker SPEAKER_26
transcript.pyannote[1639].start 9344.24159375
transcript.pyannote[1639].end 9345.30471875
transcript.pyannote[1640].speaker SPEAKER_26
transcript.pyannote[1640].start 9345.94596875
transcript.pyannote[1640].end 9349.67534375
transcript.pyannote[1641].speaker SPEAKER_26
transcript.pyannote[1641].start 9350.38409375
transcript.pyannote[1641].end 9352.25721875
transcript.pyannote[1642].speaker SPEAKER_26
transcript.pyannote[1642].start 9352.78034375
transcript.pyannote[1642].end 9353.50596875
transcript.pyannote[1643].speaker SPEAKER_26
transcript.pyannote[1643].start 9353.67471875
transcript.pyannote[1643].end 9354.70409375
transcript.pyannote[1644].speaker SPEAKER_26
transcript.pyannote[1644].start 9355.17659375
transcript.pyannote[1644].end 9357.62346875
transcript.pyannote[1645].speaker SPEAKER_26
transcript.pyannote[1645].start 9357.92721875
transcript.pyannote[1645].end 9359.54721875
transcript.pyannote[1646].speaker SPEAKER_26
transcript.pyannote[1646].start 9359.85096875
transcript.pyannote[1646].end 9367.66409375
transcript.pyannote[1647].speaker SPEAKER_26
transcript.pyannote[1647].start 9368.11971875
transcript.pyannote[1647].end 9374.19471875
transcript.pyannote[1648].speaker SPEAKER_26
transcript.pyannote[1648].start 9374.41409375
transcript.pyannote[1648].end 9375.24096875
transcript.pyannote[1649].speaker SPEAKER_26
transcript.pyannote[1649].start 9375.76409375
transcript.pyannote[1649].end 9376.70909375
transcript.pyannote[1650].speaker SPEAKER_26
transcript.pyannote[1650].start 9377.11409375
transcript.pyannote[1650].end 9378.91971875
transcript.pyannote[1651].speaker SPEAKER_26
transcript.pyannote[1651].start 9379.45971875
transcript.pyannote[1651].end 9380.32034375
transcript.pyannote[1652].speaker SPEAKER_26
transcript.pyannote[1652].start 9380.86034375
transcript.pyannote[1652].end 9381.61971875
transcript.pyannote[1653].speaker SPEAKER_26
transcript.pyannote[1653].start 9382.21034375
transcript.pyannote[1653].end 9385.02846875
transcript.pyannote[1654].speaker SPEAKER_26
transcript.pyannote[1654].start 9385.53471875
transcript.pyannote[1654].end 9386.19284375
transcript.pyannote[1655].speaker SPEAKER_26
transcript.pyannote[1655].start 9386.68221875
transcript.pyannote[1655].end 9387.30659375
transcript.pyannote[1656].speaker SPEAKER_26
transcript.pyannote[1656].start 9387.82971875
transcript.pyannote[1656].end 9388.47096875
transcript.pyannote[1657].speaker SPEAKER_26
transcript.pyannote[1657].start 9389.97284375
transcript.pyannote[1657].end 9393.26346875
transcript.pyannote[1658].speaker SPEAKER_26
transcript.pyannote[1658].start 9393.95534375
transcript.pyannote[1658].end 9396.80721875
transcript.pyannote[1659].speaker SPEAKER_26
transcript.pyannote[1659].start 9397.63409375
transcript.pyannote[1659].end 9398.64659375
transcript.pyannote[1660].speaker SPEAKER_26
transcript.pyannote[1660].start 9399.10221875
transcript.pyannote[1660].end 9400.89096875
transcript.pyannote[1661].speaker SPEAKER_26
transcript.pyannote[1661].start 9401.53221875
transcript.pyannote[1661].end 9403.64159375
transcript.pyannote[1662].speaker SPEAKER_26
transcript.pyannote[1662].start 9403.79346875
transcript.pyannote[1662].end 9404.99159375
transcript.pyannote[1663].speaker SPEAKER_26
transcript.pyannote[1663].start 9405.63284375
transcript.pyannote[1663].end 9406.88159375
transcript.pyannote[1664].speaker SPEAKER_26
transcript.pyannote[1664].start 9407.33721875
transcript.pyannote[1664].end 9409.17659375
transcript.pyannote[1665].speaker SPEAKER_26
transcript.pyannote[1665].start 9409.86846875
transcript.pyannote[1665].end 9413.64846875
transcript.pyannote[1666].speaker SPEAKER_26
transcript.pyannote[1666].start 9414.37409375
transcript.pyannote[1666].end 9416.58471875
transcript.pyannote[1667].speaker SPEAKER_26
transcript.pyannote[1667].start 9417.12471875
transcript.pyannote[1667].end 9431.83971875
transcript.pyannote[1668].speaker SPEAKER_26
transcript.pyannote[1668].start 9432.26159375
transcript.pyannote[1668].end 9434.92784375
transcript.pyannote[1669].speaker SPEAKER_26
transcript.pyannote[1669].start 9435.34971875
transcript.pyannote[1669].end 9439.85534375
transcript.pyannote[1670].speaker SPEAKER_26
transcript.pyannote[1670].start 9440.42909375
transcript.pyannote[1670].end 9441.05346875
transcript.pyannote[1671].speaker SPEAKER_26
transcript.pyannote[1671].start 9441.42471875
transcript.pyannote[1671].end 9444.09096875
transcript.pyannote[1672].speaker SPEAKER_26
transcript.pyannote[1672].start 9444.19221875
transcript.pyannote[1672].end 9446.04846875
transcript.pyannote[1673].speaker SPEAKER_26
transcript.pyannote[1673].start 9446.43659375
transcript.pyannote[1673].end 9447.11159375
transcript.pyannote[1674].speaker SPEAKER_26
transcript.pyannote[1674].start 9447.29721875
transcript.pyannote[1674].end 9449.54159375
transcript.pyannote[1675].speaker SPEAKER_29
transcript.pyannote[1675].start 9449.54159375
transcript.pyannote[1675].end 9450.08159375
transcript.pyannote[1676].speaker SPEAKER_26
transcript.pyannote[1676].start 9450.08159375
transcript.pyannote[1676].end 9450.92534375
transcript.pyannote[1677].speaker SPEAKER_26
transcript.pyannote[1677].start 9451.36409375
transcript.pyannote[1677].end 9453.25409375
transcript.pyannote[1678].speaker SPEAKER_26
transcript.pyannote[1678].start 9453.32159375
transcript.pyannote[1678].end 9453.89534375
transcript.pyannote[1679].speaker SPEAKER_26
transcript.pyannote[1679].start 9454.30034375
transcript.pyannote[1679].end 9455.51534375
transcript.pyannote[1680].speaker SPEAKER_26
transcript.pyannote[1680].start 9455.98784375
transcript.pyannote[1680].end 9458.63721875
transcript.pyannote[1681].speaker SPEAKER_26
transcript.pyannote[1681].start 9459.10971875
transcript.pyannote[1681].end 9459.71721875
transcript.pyannote[1682].speaker SPEAKER_26
transcript.pyannote[1682].start 9460.62846875
transcript.pyannote[1682].end 9467.12534375
transcript.pyannote[1683].speaker SPEAKER_15
transcript.pyannote[1683].start 9466.46721875
transcript.pyannote[1683].end 9469.43721875
transcript.pyannote[1684].speaker SPEAKER_35
transcript.pyannote[1684].start 9467.12534375
transcript.pyannote[1684].end 9467.14221875
transcript.pyannote[1685].speaker SPEAKER_26
transcript.pyannote[1685].start 9468.91409375
transcript.pyannote[1685].end 9468.93096875
transcript.pyannote[1686].speaker SPEAKER_35
transcript.pyannote[1686].start 9468.93096875
transcript.pyannote[1686].end 9469.26846875
transcript.pyannote[1687].speaker SPEAKER_26
transcript.pyannote[1687].start 9469.26846875
transcript.pyannote[1687].end 9469.31909375
transcript.pyannote[1688].speaker SPEAKER_35
transcript.pyannote[1688].start 9469.31909375
transcript.pyannote[1688].end 9469.33596875
transcript.pyannote[1689].speaker SPEAKER_35
transcript.pyannote[1689].start 9469.69034375
transcript.pyannote[1689].end 9469.70721875
transcript.pyannote[1690].speaker SPEAKER_26
transcript.pyannote[1690].start 9469.70721875
transcript.pyannote[1690].end 9469.74096875
transcript.pyannote[1691].speaker SPEAKER_35
transcript.pyannote[1691].start 9469.74096875
transcript.pyannote[1691].end 9476.20409375
transcript.pyannote[1692].speaker SPEAKER_35
transcript.pyannote[1692].start 9476.27159375
transcript.pyannote[1692].end 9479.61284375
transcript.pyannote[1693].speaker SPEAKER_35
transcript.pyannote[1693].start 9480.08534375
transcript.pyannote[1693].end 9482.24534375
transcript.pyannote[1694].speaker SPEAKER_35
transcript.pyannote[1694].start 9482.29596875
transcript.pyannote[1694].end 9482.90346875
transcript.pyannote[1695].speaker SPEAKER_35
transcript.pyannote[1695].start 9483.52784375
transcript.pyannote[1695].end 9484.25346875
transcript.pyannote[1696].speaker SPEAKER_35
transcript.pyannote[1696].start 9484.92846875
transcript.pyannote[1696].end 9489.73784375
transcript.pyannote[1697].speaker SPEAKER_35
transcript.pyannote[1697].start 9490.04159375
transcript.pyannote[1697].end 9493.09596875
transcript.pyannote[1698].speaker SPEAKER_35
transcript.pyannote[1698].start 9493.61909375
transcript.pyannote[1698].end 9497.71971875
transcript.pyannote[1699].speaker SPEAKER_35
transcript.pyannote[1699].start 9498.44534375
transcript.pyannote[1699].end 9499.98096875
transcript.pyannote[1700].speaker SPEAKER_35
transcript.pyannote[1700].start 9500.25096875
transcript.pyannote[1700].end 9501.75284375
transcript.pyannote[1701].speaker SPEAKER_35
transcript.pyannote[1701].start 9502.25909375
transcript.pyannote[1701].end 9504.33471875
transcript.pyannote[1702].speaker SPEAKER_35
transcript.pyannote[1702].start 9504.65534375
transcript.pyannote[1702].end 9506.08971875
transcript.pyannote[1703].speaker SPEAKER_35
transcript.pyannote[1703].start 9506.27534375
transcript.pyannote[1703].end 9506.84909375
transcript.pyannote[1704].speaker SPEAKER_35
transcript.pyannote[1704].start 9507.92909375
transcript.pyannote[1704].end 9511.10159375
transcript.pyannote[1705].speaker SPEAKER_35
transcript.pyannote[1705].start 9511.97909375
transcript.pyannote[1705].end 9512.11409375
transcript.pyannote[1706].speaker SPEAKER_26
transcript.pyannote[1706].start 9512.45159375
transcript.pyannote[1706].end 9512.46846875
transcript.pyannote[1707].speaker SPEAKER_35
transcript.pyannote[1707].start 9512.46846875
transcript.pyannote[1707].end 9512.97471875
transcript.pyannote[1708].speaker SPEAKER_26
transcript.pyannote[1708].start 9512.97471875
transcript.pyannote[1708].end 9513.02534375
transcript.pyannote[1709].speaker SPEAKER_35
transcript.pyannote[1709].start 9513.02534375
transcript.pyannote[1709].end 9516.02909375
transcript.pyannote[1710].speaker SPEAKER_35
transcript.pyannote[1710].start 9516.33284375
transcript.pyannote[1710].end 9523.67346875
transcript.pyannote[1711].speaker SPEAKER_35
transcript.pyannote[1711].start 9524.16284375
transcript.pyannote[1711].end 9534.35534375
transcript.pyannote[1712].speaker SPEAKER_35
transcript.pyannote[1712].start 9534.38909375
transcript.pyannote[1712].end 9534.40596875
transcript.pyannote[1713].speaker SPEAKER_35
transcript.pyannote[1713].start 9534.49034375
transcript.pyannote[1713].end 9535.36784375
transcript.pyannote[1714].speaker SPEAKER_35
transcript.pyannote[1714].start 9536.02596875
transcript.pyannote[1714].end 9536.56596875
transcript.pyannote[1715].speaker SPEAKER_35
transcript.pyannote[1715].start 9537.07221875
transcript.pyannote[1715].end 9540.64971875
transcript.pyannote[1716].speaker SPEAKER_35
transcript.pyannote[1716].start 9540.68346875
transcript.pyannote[1716].end 9541.88159375
transcript.pyannote[1717].speaker SPEAKER_35
transcript.pyannote[1717].start 9542.32034375
transcript.pyannote[1717].end 9548.07471875
transcript.pyannote[1718].speaker SPEAKER_35
transcript.pyannote[1718].start 9548.81721875
transcript.pyannote[1718].end 9551.56784375
transcript.pyannote[1719].speaker SPEAKER_35
transcript.pyannote[1719].start 9552.36096875
transcript.pyannote[1719].end 9553.96409375
transcript.pyannote[1720].speaker SPEAKER_26
transcript.pyannote[1720].start 9553.96409375
transcript.pyannote[1720].end 9554.35221875
transcript.pyannote[1721].speaker SPEAKER_26
transcript.pyannote[1721].start 9554.40284375
transcript.pyannote[1721].end 9555.71909375
transcript.pyannote[1722].speaker SPEAKER_26
transcript.pyannote[1722].start 9556.34346875
transcript.pyannote[1722].end 9556.95096875
transcript.pyannote[1723].speaker SPEAKER_26
transcript.pyannote[1723].start 9557.62596875
transcript.pyannote[1723].end 9561.52409375
transcript.pyannote[1724].speaker SPEAKER_26
transcript.pyannote[1724].start 9561.74346875
transcript.pyannote[1724].end 9564.74721875
transcript.pyannote[1725].speaker SPEAKER_25
transcript.pyannote[1725].start 9561.76034375
transcript.pyannote[1725].end 9562.13159375
transcript.pyannote[1726].speaker SPEAKER_26
transcript.pyannote[1726].start 9565.65846875
transcript.pyannote[1726].end 9567.12659375
transcript.pyannote[1727].speaker SPEAKER_26
transcript.pyannote[1727].start 9567.85221875
transcript.pyannote[1727].end 9569.70846875
transcript.pyannote[1728].speaker SPEAKER_26
transcript.pyannote[1728].start 9570.36659375
transcript.pyannote[1728].end 9571.42971875
transcript.pyannote[1729].speaker SPEAKER_26
transcript.pyannote[1729].start 9572.02034375
transcript.pyannote[1729].end 9572.94846875
transcript.pyannote[1730].speaker SPEAKER_26
transcript.pyannote[1730].start 9573.37034375
transcript.pyannote[1730].end 9586.51596875
transcript.pyannote[1731].speaker SPEAKER_26
transcript.pyannote[1731].start 9587.05596875
transcript.pyannote[1731].end 9587.08971875
transcript.pyannote[1732].speaker SPEAKER_35
transcript.pyannote[1732].start 9587.08971875
transcript.pyannote[1732].end 9591.67971875
transcript.pyannote[1733].speaker SPEAKER_35
transcript.pyannote[1733].start 9591.93284375
transcript.pyannote[1733].end 9592.79346875
transcript.pyannote[1734].speaker SPEAKER_35
transcript.pyannote[1734].start 9593.36721875
transcript.pyannote[1734].end 9596.37096875
transcript.pyannote[1735].speaker SPEAKER_26
transcript.pyannote[1735].start 9596.37096875
transcript.pyannote[1735].end 9616.30034375
transcript.pyannote[1736].speaker SPEAKER_03
transcript.pyannote[1736].start 9614.02221875
transcript.pyannote[1736].end 9614.69721875
transcript.pyannote[1737].speaker SPEAKER_03
transcript.pyannote[1737].start 9614.84909375
transcript.pyannote[1737].end 9632.31471875
transcript.pyannote[1738].speaker SPEAKER_03
transcript.pyannote[1738].start 9632.93909375
transcript.pyannote[1738].end 9639.97596875
transcript.pyannote[1739].speaker SPEAKER_26
transcript.pyannote[1739].start 9639.97596875
transcript.pyannote[1739].end 9642.67596875
transcript.pyannote[1740].speaker SPEAKER_26
transcript.pyannote[1740].start 9642.87846875
transcript.pyannote[1740].end 9645.98346875
transcript.pyannote[1741].speaker SPEAKER_26
transcript.pyannote[1741].start 9646.25346875
transcript.pyannote[1741].end 9649.17284375
transcript.pyannote[1742].speaker SPEAKER_26
transcript.pyannote[1742].start 9649.86471875
transcript.pyannote[1742].end 9650.70846875
transcript.pyannote[1743].speaker SPEAKER_26
transcript.pyannote[1743].start 9651.41721875
transcript.pyannote[1743].end 9652.17659375
transcript.pyannote[1744].speaker SPEAKER_26
transcript.pyannote[1744].start 9652.64909375
transcript.pyannote[1744].end 9654.20159375
transcript.pyannote[1745].speaker SPEAKER_26
transcript.pyannote[1745].start 9655.04534375
transcript.pyannote[1745].end 9661.35659375
transcript.pyannote[1746].speaker SPEAKER_26
transcript.pyannote[1746].start 9661.99784375
transcript.pyannote[1746].end 9662.99346875
transcript.pyannote[1747].speaker SPEAKER_26
transcript.pyannote[1747].start 9663.70221875
transcript.pyannote[1747].end 9664.52909375
transcript.pyannote[1748].speaker SPEAKER_26
transcript.pyannote[1748].start 9666.40221875
transcript.pyannote[1748].end 9667.88721875
transcript.pyannote[1749].speaker SPEAKER_26
transcript.pyannote[1749].start 9669.08534375
transcript.pyannote[1749].end 9669.49034375
transcript.pyannote[1750].speaker SPEAKER_26
transcript.pyannote[1750].start 9670.46909375
transcript.pyannote[1750].end 9672.00471875
transcript.pyannote[1751].speaker SPEAKER_26
transcript.pyannote[1751].start 9672.35909375
transcript.pyannote[1751].end 9673.06784375
transcript.pyannote[1752].speaker SPEAKER_26
transcript.pyannote[1752].start 9673.52346875
transcript.pyannote[1752].end 9674.51909375
transcript.pyannote[1753].speaker SPEAKER_26
transcript.pyannote[1753].start 9675.66659375
transcript.pyannote[1753].end 9676.24034375
transcript.pyannote[1754].speaker SPEAKER_26
transcript.pyannote[1754].start 9676.99971875
transcript.pyannote[1754].end 9677.21909375
transcript.pyannote[1755].speaker SPEAKER_26
transcript.pyannote[1755].start 9678.07971875
transcript.pyannote[1755].end 9678.95721875
transcript.pyannote[1756].speaker SPEAKER_26
transcript.pyannote[1756].start 9679.59846875
transcript.pyannote[1756].end 9681.79221875
transcript.pyannote[1757].speaker SPEAKER_26
transcript.pyannote[1757].start 9682.48409375
transcript.pyannote[1757].end 9683.91846875
transcript.pyannote[1758].speaker SPEAKER_26
transcript.pyannote[1758].start 9684.79596875
transcript.pyannote[1758].end 9685.47096875
transcript.pyannote[1759].speaker SPEAKER_26
transcript.pyannote[1759].start 9685.72409375
transcript.pyannote[1759].end 9686.09534375
transcript.pyannote[1760].speaker SPEAKER_26
transcript.pyannote[1760].start 9686.21346875
transcript.pyannote[1760].end 9686.88846875
transcript.pyannote[1761].speaker SPEAKER_26
transcript.pyannote[1761].start 9687.88409375
transcript.pyannote[1761].end 9689.04846875
transcript.pyannote[1762].speaker SPEAKER_26
transcript.pyannote[1762].start 9689.77409375
transcript.pyannote[1762].end 9690.73596875
transcript.pyannote[1763].speaker SPEAKER_26
transcript.pyannote[1763].start 9691.14096875
transcript.pyannote[1763].end 9691.51221875
transcript.pyannote[1764].speaker SPEAKER_26
transcript.pyannote[1764].start 9691.52909375
transcript.pyannote[1764].end 9692.72721875
transcript.pyannote[1765].speaker SPEAKER_26
transcript.pyannote[1765].start 9693.35159375
transcript.pyannote[1765].end 9695.22471875
transcript.pyannote[1766].speaker SPEAKER_26
transcript.pyannote[1766].start 9696.33846875
transcript.pyannote[1766].end 9698.49846875
transcript.pyannote[1767].speaker SPEAKER_26
transcript.pyannote[1767].start 9699.57846875
transcript.pyannote[1767].end 9701.06346875
transcript.pyannote[1768].speaker SPEAKER_26
transcript.pyannote[1768].start 9702.37971875
transcript.pyannote[1768].end 9702.83534375
transcript.pyannote[1769].speaker SPEAKER_26
transcript.pyannote[1769].start 9704.35409375
transcript.pyannote[1769].end 9705.78846875
transcript.pyannote[1770].speaker SPEAKER_26
transcript.pyannote[1770].start 9706.66596875
transcript.pyannote[1770].end 9708.04971875
transcript.pyannote[1771].speaker SPEAKER_26
transcript.pyannote[1771].start 9708.79221875
transcript.pyannote[1771].end 9709.66971875
transcript.pyannote[1772].speaker SPEAKER_26
transcript.pyannote[1772].start 9710.31096875
transcript.pyannote[1772].end 9711.66096875
transcript.pyannote[1773].speaker SPEAKER_26
transcript.pyannote[1773].start 9712.48784375
transcript.pyannote[1773].end 9713.82096875
transcript.pyannote[1774].speaker SPEAKER_26
transcript.pyannote[1774].start 9714.85034375
transcript.pyannote[1774].end 9716.14971875
transcript.pyannote[1775].speaker SPEAKER_26
transcript.pyannote[1775].start 9716.84159375
transcript.pyannote[1775].end 9718.64721875
transcript.pyannote[1776].speaker SPEAKER_26
transcript.pyannote[1776].start 9719.74409375
transcript.pyannote[1776].end 9720.92534375
transcript.pyannote[1777].speaker SPEAKER_26
transcript.pyannote[1777].start 9721.93784375
transcript.pyannote[1777].end 9724.43534375
transcript.pyannote[1778].speaker SPEAKER_26
transcript.pyannote[1778].start 9725.66721875
transcript.pyannote[1778].end 9726.19034375
transcript.pyannote[1779].speaker SPEAKER_26
transcript.pyannote[1779].start 9726.62909375
transcript.pyannote[1779].end 9726.74721875
transcript.pyannote[1780].speaker SPEAKER_26
transcript.pyannote[1780].start 9727.27034375
transcript.pyannote[1780].end 9727.64159375
transcript.pyannote[1781].speaker SPEAKER_26
transcript.pyannote[1781].start 9727.79346875
transcript.pyannote[1781].end 9729.58221875
transcript.pyannote[1782].speaker SPEAKER_26
transcript.pyannote[1782].start 9730.32471875
transcript.pyannote[1782].end 9731.25284375
transcript.pyannote[1783].speaker SPEAKER_26
transcript.pyannote[1783].start 9731.74221875
transcript.pyannote[1783].end 9733.44659375
transcript.pyannote[1784].speaker SPEAKER_26
transcript.pyannote[1784].start 9733.69971875
transcript.pyannote[1784].end 9734.08784375
transcript.pyannote[1785].speaker SPEAKER_26
transcript.pyannote[1785].start 9734.47596875
transcript.pyannote[1785].end 9735.55596875
transcript.pyannote[1786].speaker SPEAKER_26
transcript.pyannote[1786].start 9735.97784375
transcript.pyannote[1786].end 9736.53471875
transcript.pyannote[1787].speaker SPEAKER_26
transcript.pyannote[1787].start 9736.92284375
transcript.pyannote[1787].end 9745.02284375
transcript.pyannote[1788].speaker SPEAKER_21
transcript.pyannote[1788].start 9745.02284375
transcript.pyannote[1788].end 9746.20409375
transcript.pyannote[1789].speaker SPEAKER_21
transcript.pyannote[1789].start 9748.54971875
transcript.pyannote[1789].end 9749.51159375
transcript.pyannote[1790].speaker SPEAKER_21
transcript.pyannote[1790].start 9753.78096875
transcript.pyannote[1790].end 9755.80596875
transcript.pyannote[1791].speaker SPEAKER_11
transcript.pyannote[1791].start 9765.34034375
transcript.pyannote[1791].end 9769.64346875
transcript.pyannote[1792].speaker SPEAKER_11
transcript.pyannote[1792].start 9769.89659375
transcript.pyannote[1792].end 9771.28034375
transcript.pyannote[1793].speaker SPEAKER_21
transcript.pyannote[1793].start 9771.28034375
transcript.pyannote[1793].end 9771.29721875
transcript.pyannote[1794].speaker SPEAKER_21
transcript.pyannote[1794].start 9777.76034375
transcript.pyannote[1794].end 9777.77721875
transcript.pyannote[1795].speaker SPEAKER_11
transcript.pyannote[1795].start 9777.77721875
transcript.pyannote[1795].end 9778.23284375
transcript.pyannote[1796].speaker SPEAKER_11
transcript.pyannote[1796].start 9778.63784375
transcript.pyannote[1796].end 9778.97534375
transcript.pyannote[1797].speaker SPEAKER_11
transcript.pyannote[1797].start 9779.63346875
transcript.pyannote[1797].end 9785.62409375
transcript.pyannote[1798].speaker SPEAKER_11
transcript.pyannote[1798].start 9785.97846875
transcript.pyannote[1798].end 9796.86284375
transcript.pyannote[1799].speaker SPEAKER_11
transcript.pyannote[1799].start 9797.25096875
transcript.pyannote[1799].end 9824.75721875
transcript.pyannote[1800].speaker SPEAKER_11
transcript.pyannote[1800].start 9824.84159375
transcript.pyannote[1800].end 9832.53659375
transcript.pyannote[1801].speaker SPEAKER_11
transcript.pyannote[1801].start 9832.94159375
transcript.pyannote[1801].end 9833.44784375
transcript.pyannote[1802].speaker SPEAKER_11
transcript.pyannote[1802].start 9833.80221875
transcript.pyannote[1802].end 9844.02846875
transcript.pyannote[1803].speaker SPEAKER_11
transcript.pyannote[1803].start 9844.19721875
transcript.pyannote[1803].end 9888.76409375
transcript.pyannote[1804].speaker SPEAKER_11
transcript.pyannote[1804].start 9889.37159375
transcript.pyannote[1804].end 9893.21909375
transcript.pyannote[1805].speaker SPEAKER_11
transcript.pyannote[1805].start 9893.64096875
transcript.pyannote[1805].end 9896.42534375
transcript.pyannote[1806].speaker SPEAKER_15
transcript.pyannote[1806].start 9896.83034375
transcript.pyannote[1806].end 9897.13409375
transcript.pyannote[1807].speaker SPEAKER_11
transcript.pyannote[1807].start 9897.62346875
transcript.pyannote[1807].end 9899.26034375
transcript.pyannote[1808].speaker SPEAKER_11
transcript.pyannote[1808].start 9899.68221875
transcript.pyannote[1808].end 9904.30596875
transcript.pyannote[1809].speaker SPEAKER_11
transcript.pyannote[1809].start 9904.93034375
transcript.pyannote[1809].end 9908.11971875
transcript.pyannote[1810].speaker SPEAKER_15
transcript.pyannote[1810].start 9908.11971875
transcript.pyannote[1810].end 9910.39784375
transcript.pyannote[1811].speaker SPEAKER_11
transcript.pyannote[1811].start 9910.43159375
transcript.pyannote[1811].end 9910.51596875
transcript.pyannote[1812].speaker SPEAKER_15
transcript.pyannote[1812].start 9910.51596875
transcript.pyannote[1812].end 9910.53284375
transcript.pyannote[1813].speaker SPEAKER_11
transcript.pyannote[1813].start 9910.53284375
transcript.pyannote[1813].end 9910.56659375
transcript.pyannote[1814].speaker SPEAKER_15
transcript.pyannote[1814].start 9910.56659375
transcript.pyannote[1814].end 9910.68471875
transcript.pyannote[1815].speaker SPEAKER_11
transcript.pyannote[1815].start 9910.68471875
transcript.pyannote[1815].end 9910.88721875
transcript.pyannote[1816].speaker SPEAKER_15
transcript.pyannote[1816].start 9910.88721875
transcript.pyannote[1816].end 9910.90409375
transcript.pyannote[1817].speaker SPEAKER_11
transcript.pyannote[1817].start 9910.90409375
transcript.pyannote[1817].end 9910.95471875
transcript.pyannote[1818].speaker SPEAKER_15
transcript.pyannote[1818].start 9910.95471875
transcript.pyannote[1818].end 9910.97159375
transcript.pyannote[1819].speaker SPEAKER_11
transcript.pyannote[1819].start 9910.97159375
transcript.pyannote[1819].end 9913.01346875
transcript.pyannote[1820].speaker SPEAKER_15
transcript.pyannote[1820].start 9911.30909375
transcript.pyannote[1820].end 9911.93346875
transcript.pyannote[1821].speaker SPEAKER_15
transcript.pyannote[1821].start 9913.01346875
transcript.pyannote[1821].end 9923.77971875
transcript.pyannote[1822].speaker SPEAKER_11
transcript.pyannote[1822].start 9913.08096875
transcript.pyannote[1822].end 9913.46909375
transcript.pyannote[1823].speaker SPEAKER_11
transcript.pyannote[1823].start 9921.14721875
transcript.pyannote[1823].end 9939.79409375
transcript.pyannote[1824].speaker SPEAKER_29
transcript.pyannote[1824].start 9929.63534375
transcript.pyannote[1824].end 9929.70284375
transcript.pyannote[1825].speaker SPEAKER_15
transcript.pyannote[1825].start 9929.70284375
transcript.pyannote[1825].end 9931.71096875
transcript.pyannote[1826].speaker SPEAKER_29
transcript.pyannote[1826].start 9931.71096875
transcript.pyannote[1826].end 9931.76159375
transcript.pyannote[1827].speaker SPEAKER_29
transcript.pyannote[1827].start 9932.52096875
transcript.pyannote[1827].end 9933.02721875
transcript.pyannote[1828].speaker SPEAKER_29
transcript.pyannote[1828].start 9934.41096875
transcript.pyannote[1828].end 9934.63034375
transcript.pyannote[1829].speaker SPEAKER_29
transcript.pyannote[1829].start 9935.60909375
transcript.pyannote[1829].end 9935.65971875
transcript.pyannote[1830].speaker SPEAKER_29
transcript.pyannote[1830].start 9936.14909375
transcript.pyannote[1830].end 9936.60471875
transcript.pyannote[1831].speaker SPEAKER_11
transcript.pyannote[1831].start 9940.35096875
transcript.pyannote[1831].end 9942.42659375
transcript.pyannote[1832].speaker SPEAKER_11
transcript.pyannote[1832].start 9942.98346875
transcript.pyannote[1832].end 9979.31534375
transcript.pyannote[1833].speaker SPEAKER_11
transcript.pyannote[1833].start 9979.43346875
transcript.pyannote[1833].end 10000.62846875
transcript.pyannote[1834].speaker SPEAKER_15
transcript.pyannote[1834].start 10000.74659375
transcript.pyannote[1834].end 10022.51534375
transcript.pyannote[1835].speaker SPEAKER_29
transcript.pyannote[1835].start 10017.62159375
transcript.pyannote[1835].end 10017.97596875
transcript.pyannote[1836].speaker SPEAKER_11
transcript.pyannote[1836].start 10022.90346875
transcript.pyannote[1836].end 10030.63221875
transcript.pyannote[1837].speaker SPEAKER_11
transcript.pyannote[1837].start 10030.96971875
transcript.pyannote[1837].end 10043.33909375
transcript.pyannote[1838].speaker SPEAKER_11
transcript.pyannote[1838].start 10043.42346875
transcript.pyannote[1838].end 10045.24596875
transcript.pyannote[1839].speaker SPEAKER_11
transcript.pyannote[1839].start 10045.49909375
transcript.pyannote[1839].end 10076.93721875
transcript.pyannote[1840].speaker SPEAKER_11
transcript.pyannote[1840].start 10077.12284375
transcript.pyannote[1840].end 10086.60659375
transcript.pyannote[1841].speaker SPEAKER_11
transcript.pyannote[1841].start 10086.97784375
transcript.pyannote[1841].end 10088.10846875
transcript.pyannote[1842].speaker SPEAKER_11
transcript.pyannote[1842].start 10088.68221875
transcript.pyannote[1842].end 10092.34409375
transcript.pyannote[1843].speaker SPEAKER_15
transcript.pyannote[1843].start 10093.12034375
transcript.pyannote[1843].end 10102.26659375
transcript.pyannote[1844].speaker SPEAKER_15
transcript.pyannote[1844].start 10102.87409375
transcript.pyannote[1844].end 10103.46471875
transcript.pyannote[1845].speaker SPEAKER_15
transcript.pyannote[1845].start 10103.97096875
transcript.pyannote[1845].end 10119.19221875
transcript.pyannote[1846].speaker SPEAKER_15
transcript.pyannote[1846].start 10119.52971875
transcript.pyannote[1846].end 10123.22534375
transcript.pyannote[1847].speaker SPEAKER_11
transcript.pyannote[1847].start 10123.22534375
transcript.pyannote[1847].end 10126.06034375
transcript.pyannote[1848].speaker SPEAKER_15
transcript.pyannote[1848].start 10125.80721875
transcript.pyannote[1848].end 10129.08096875
transcript.pyannote[1849].speaker SPEAKER_11
transcript.pyannote[1849].start 10127.54534375
transcript.pyannote[1849].end 10128.15284375
transcript.pyannote[1850].speaker SPEAKER_11
transcript.pyannote[1850].start 10129.08096875
transcript.pyannote[1850].end 10135.84784375
transcript.pyannote[1851].speaker SPEAKER_11
transcript.pyannote[1851].start 10136.18534375
transcript.pyannote[1851].end 10143.67784375
transcript.pyannote[1852].speaker SPEAKER_15
transcript.pyannote[1852].start 10143.05346875
transcript.pyannote[1852].end 10146.52971875
transcript.pyannote[1853].speaker SPEAKER_11
transcript.pyannote[1853].start 10144.28534375
transcript.pyannote[1853].end 10144.97721875
transcript.pyannote[1854].speaker SPEAKER_11
transcript.pyannote[1854].start 10145.21346875
transcript.pyannote[1854].end 10145.60159375
transcript.pyannote[1855].speaker SPEAKER_11
transcript.pyannote[1855].start 10145.90534375
transcript.pyannote[1855].end 10163.92784375
transcript.pyannote[1856].speaker SPEAKER_15
transcript.pyannote[1856].start 10163.92784375
transcript.pyannote[1856].end 10179.16596875
transcript.pyannote[1857].speaker SPEAKER_11
transcript.pyannote[1857].start 10164.46784375
transcript.pyannote[1857].end 10164.72096875
transcript.pyannote[1858].speaker SPEAKER_11
transcript.pyannote[1858].start 10168.21409375
transcript.pyannote[1858].end 10168.24784375
transcript.pyannote[1859].speaker SPEAKER_11
transcript.pyannote[1859].start 10168.26471875
transcript.pyannote[1859].end 10168.38284375
transcript.pyannote[1860].speaker SPEAKER_11
transcript.pyannote[1860].start 10170.34034375
transcript.pyannote[1860].end 10170.50909375
transcript.pyannote[1861].speaker SPEAKER_11
transcript.pyannote[1861].start 10178.47409375
transcript.pyannote[1861].end 10186.72596875
transcript.pyannote[1862].speaker SPEAKER_29
transcript.pyannote[1862].start 10184.71784375
transcript.pyannote[1862].end 10185.52784375
transcript.pyannote[1863].speaker SPEAKER_29
transcript.pyannote[1863].start 10186.64159375
transcript.pyannote[1863].end 10187.14784375
transcript.pyannote[1864].speaker SPEAKER_11
transcript.pyannote[1864].start 10186.87784375
transcript.pyannote[1864].end 10192.24409375
transcript.pyannote[1865].speaker SPEAKER_29
transcript.pyannote[1865].start 10188.91971875
transcript.pyannote[1865].end 10189.30784375
transcript.pyannote[1866].speaker SPEAKER_11
transcript.pyannote[1866].start 10192.39596875
transcript.pyannote[1866].end 10193.27346875
transcript.pyannote[1867].speaker SPEAKER_11
transcript.pyannote[1867].start 10193.56034375
transcript.pyannote[1867].end 10197.12096875
transcript.pyannote[1868].speaker SPEAKER_11
transcript.pyannote[1868].start 10197.32346875
transcript.pyannote[1868].end 10200.37784375
transcript.pyannote[1869].speaker SPEAKER_11
transcript.pyannote[1869].start 10200.52971875
transcript.pyannote[1869].end 10210.68846875
transcript.pyannote[1870].speaker SPEAKER_11
transcript.pyannote[1870].start 10210.92471875
transcript.pyannote[1870].end 10211.34659375
transcript.pyannote[1871].speaker SPEAKER_11
transcript.pyannote[1871].start 10211.73471875
transcript.pyannote[1871].end 10215.70034375
transcript.pyannote[1872].speaker SPEAKER_11
transcript.pyannote[1872].start 10215.76784375
transcript.pyannote[1872].end 10218.04596875
transcript.pyannote[1873].speaker SPEAKER_11
transcript.pyannote[1873].start 10218.38346875
transcript.pyannote[1873].end 10226.09534375
transcript.pyannote[1874].speaker SPEAKER_11
transcript.pyannote[1874].start 10226.39909375
transcript.pyannote[1874].end 10238.58284375
transcript.pyannote[1875].speaker SPEAKER_11
transcript.pyannote[1875].start 10238.95409375
transcript.pyannote[1875].end 10246.44659375
transcript.pyannote[1876].speaker SPEAKER_11
transcript.pyannote[1876].start 10246.64909375
transcript.pyannote[1876].end 10250.02409375
transcript.pyannote[1877].speaker SPEAKER_15
transcript.pyannote[1877].start 10250.32784375
transcript.pyannote[1877].end 10263.77721875
transcript.pyannote[1878].speaker SPEAKER_11
transcript.pyannote[1878].start 10263.77721875
transcript.pyannote[1878].end 10273.98659375
transcript.pyannote[1879].speaker SPEAKER_11
transcript.pyannote[1879].start 10274.66159375
transcript.pyannote[1879].end 10276.33221875
transcript.pyannote[1880].speaker SPEAKER_11
transcript.pyannote[1880].start 10276.55159375
transcript.pyannote[1880].end 10278.03659375
transcript.pyannote[1881].speaker SPEAKER_11
transcript.pyannote[1881].start 10278.45846875
transcript.pyannote[1881].end 10282.23846875
transcript.pyannote[1882].speaker SPEAKER_15
transcript.pyannote[1882].start 10279.62284375
transcript.pyannote[1882].end 10279.65659375
transcript.pyannote[1883].speaker SPEAKER_19
transcript.pyannote[1883].start 10279.65659375
transcript.pyannote[1883].end 10280.26409375
transcript.pyannote[1884].speaker SPEAKER_15
transcript.pyannote[1884].start 10280.51721875
transcript.pyannote[1884].end 10280.78721875
transcript.pyannote[1885].speaker SPEAKER_19
transcript.pyannote[1885].start 10281.02346875
transcript.pyannote[1885].end 10281.12471875
transcript.pyannote[1886].speaker SPEAKER_19
transcript.pyannote[1886].start 10282.28909375
transcript.pyannote[1886].end 10292.71784375
transcript.pyannote[1887].speaker SPEAKER_11
transcript.pyannote[1887].start 10290.10221875
transcript.pyannote[1887].end 10290.65909375
transcript.pyannote[1888].speaker SPEAKER_11
transcript.pyannote[1888].start 10292.05971875
transcript.pyannote[1888].end 10297.30784375
transcript.pyannote[1889].speaker SPEAKER_11
transcript.pyannote[1889].start 10297.59471875
transcript.pyannote[1889].end 10308.79971875
transcript.pyannote[1890].speaker SPEAKER_00
transcript.pyannote[1890].start 10297.86471875
transcript.pyannote[1890].end 10297.89846875
transcript.pyannote[1891].speaker SPEAKER_19
transcript.pyannote[1891].start 10297.89846875
transcript.pyannote[1891].end 10298.59034375
transcript.pyannote[1892].speaker SPEAKER_00
transcript.pyannote[1892].start 10298.59034375
transcript.pyannote[1892].end 10298.62409375
transcript.pyannote[1893].speaker SPEAKER_19
transcript.pyannote[1893].start 10302.33659375
transcript.pyannote[1893].end 10303.31534375
transcript.pyannote[1894].speaker SPEAKER_19
transcript.pyannote[1894].start 10303.53471875
transcript.pyannote[1894].end 10303.63596875
transcript.pyannote[1895].speaker SPEAKER_00
transcript.pyannote[1895].start 10303.63596875
transcript.pyannote[1895].end 10303.65284375
transcript.pyannote[1896].speaker SPEAKER_19
transcript.pyannote[1896].start 10303.65284375
transcript.pyannote[1896].end 10304.10846875
transcript.pyannote[1897].speaker SPEAKER_19
transcript.pyannote[1897].start 10308.02346875
transcript.pyannote[1897].end 10315.65096875
transcript.pyannote[1898].speaker SPEAKER_11
transcript.pyannote[1898].start 10314.50346875
transcript.pyannote[1898].end 10321.11846875
transcript.pyannote[1899].speaker SPEAKER_19
transcript.pyannote[1899].start 10318.09784375
transcript.pyannote[1899].end 10319.00909375
transcript.pyannote[1900].speaker SPEAKER_11
transcript.pyannote[1900].start 10321.64159375
transcript.pyannote[1900].end 10324.03784375
transcript.pyannote[1901].speaker SPEAKER_19
transcript.pyannote[1901].start 10323.46409375
transcript.pyannote[1901].end 10327.83471875
transcript.pyannote[1902].speaker SPEAKER_11
transcript.pyannote[1902].start 10326.51846875
transcript.pyannote[1902].end 10337.08221875
transcript.pyannote[1903].speaker SPEAKER_30
transcript.pyannote[1903].start 10329.16784375
transcript.pyannote[1903].end 10329.42096875
transcript.pyannote[1904].speaker SPEAKER_21
transcript.pyannote[1904].start 10335.49596875
transcript.pyannote[1904].end 10336.77846875
transcript.pyannote[1905].speaker SPEAKER_21
transcript.pyannote[1905].start 10337.08221875
transcript.pyannote[1905].end 10337.25096875
transcript.pyannote[1906].speaker SPEAKER_21
transcript.pyannote[1906].start 10337.53784375
transcript.pyannote[1906].end 10339.00596875
transcript.pyannote[1907].speaker SPEAKER_21
transcript.pyannote[1907].start 10339.14096875
transcript.pyannote[1907].end 10340.06909375
transcript.pyannote[1908].speaker SPEAKER_21
transcript.pyannote[1908].start 10340.23784375
transcript.pyannote[1908].end 10343.37659375
transcript.pyannote[1909].speaker SPEAKER_28
transcript.pyannote[1909].start 10343.93346875
transcript.pyannote[1909].end 10344.37221875
transcript.pyannote[1910].speaker SPEAKER_21
transcript.pyannote[1910].start 10346.59971875
transcript.pyannote[1910].end 10348.69221875
transcript.pyannote[1911].speaker SPEAKER_11
transcript.pyannote[1911].start 10348.35471875
transcript.pyannote[1911].end 10348.45596875
transcript.pyannote[1912].speaker SPEAKER_11
transcript.pyannote[1912].start 10348.48971875
transcript.pyannote[1912].end 10348.62471875
transcript.pyannote[1913].speaker SPEAKER_11
transcript.pyannote[1913].start 10348.69221875
transcript.pyannote[1913].end 10348.87784375
transcript.pyannote[1914].speaker SPEAKER_15
transcript.pyannote[1914].start 10348.87784375
transcript.pyannote[1914].end 10349.02971875
transcript.pyannote[1915].speaker SPEAKER_21
transcript.pyannote[1915].start 10349.18159375
transcript.pyannote[1915].end 10349.85659375
transcript.pyannote[1916].speaker SPEAKER_11
transcript.pyannote[1916].start 10349.56971875
transcript.pyannote[1916].end 10349.77221875
transcript.pyannote[1917].speaker SPEAKER_11
transcript.pyannote[1917].start 10349.82284375
transcript.pyannote[1917].end 10349.83971875
transcript.pyannote[1918].speaker SPEAKER_11
transcript.pyannote[1918].start 10349.85659375
transcript.pyannote[1918].end 10349.87346875
transcript.pyannote[1919].speaker SPEAKER_21
transcript.pyannote[1919].start 10349.87346875
transcript.pyannote[1919].end 10349.90721875
transcript.pyannote[1920].speaker SPEAKER_11
transcript.pyannote[1920].start 10349.90721875
transcript.pyannote[1920].end 10350.05909375
transcript.pyannote[1921].speaker SPEAKER_15
transcript.pyannote[1921].start 10350.05909375
transcript.pyannote[1921].end 10350.24471875
transcript.pyannote[1922].speaker SPEAKER_15
transcript.pyannote[1922].start 10350.97034375
transcript.pyannote[1922].end 10351.64534375
transcript.pyannote[1923].speaker SPEAKER_11
transcript.pyannote[1923].start 10353.50159375
transcript.pyannote[1923].end 10356.40409375
transcript.pyannote[1924].speaker SPEAKER_11
transcript.pyannote[1924].start 10363.72784375
transcript.pyannote[1924].end 10364.11596875
transcript.pyannote[1925].speaker SPEAKER_11
transcript.pyannote[1925].start 10364.47034375
transcript.pyannote[1925].end 10367.79471875
transcript.pyannote[1926].speaker SPEAKER_21
transcript.pyannote[1926].start 10374.91596875
transcript.pyannote[1926].end 10377.78471875
transcript.pyannote[1927].speaker SPEAKER_21
transcript.pyannote[1927].start 10378.00409375
transcript.pyannote[1927].end 10381.58159375
transcript.pyannote[1928].speaker SPEAKER_21
transcript.pyannote[1928].start 10381.88534375
transcript.pyannote[1928].end 10382.57721875
transcript.pyannote[1929].speaker SPEAKER_21
transcript.pyannote[1929].start 10383.50534375
transcript.pyannote[1929].end 10386.40784375
transcript.pyannote[1930].speaker SPEAKER_21
transcript.pyannote[1930].start 10387.72409375
transcript.pyannote[1930].end 10406.52284375
transcript.pyannote[1931].speaker SPEAKER_21
transcript.pyannote[1931].start 10406.96159375
transcript.pyannote[1931].end 10416.24284375
transcript.pyannote[1932].speaker SPEAKER_35
transcript.pyannote[1932].start 10418.74034375
transcript.pyannote[1932].end 10428.30846875
transcript.pyannote[1933].speaker SPEAKER_21
transcript.pyannote[1933].start 10428.30846875
transcript.pyannote[1933].end 10436.03721875
transcript.pyannote[1934].speaker SPEAKER_35
transcript.pyannote[1934].start 10431.78471875
transcript.pyannote[1934].end 10432.66221875
transcript.pyannote[1935].speaker SPEAKER_35
transcript.pyannote[1935].start 10432.71284375
transcript.pyannote[1935].end 10433.10096875
transcript.pyannote[1936].speaker SPEAKER_35
transcript.pyannote[1936].start 10436.03721875
transcript.pyannote[1936].end 10439.71596875
transcript.pyannote[1937].speaker SPEAKER_21
transcript.pyannote[1937].start 10437.67409375
transcript.pyannote[1937].end 10437.97784375
transcript.pyannote[1938].speaker SPEAKER_21
transcript.pyannote[1938].start 10438.06221875
transcript.pyannote[1938].end 10438.39971875
transcript.pyannote[1939].speaker SPEAKER_21
transcript.pyannote[1939].start 10439.71596875
transcript.pyannote[1939].end 10439.74971875
transcript.pyannote[1940].speaker SPEAKER_35
transcript.pyannote[1940].start 10440.12096875
transcript.pyannote[1940].end 10441.97721875
transcript.pyannote[1941].speaker SPEAKER_21
transcript.pyannote[1941].start 10441.97721875
transcript.pyannote[1941].end 10442.77034375
transcript.pyannote[1942].speaker SPEAKER_21
transcript.pyannote[1942].start 10443.19221875
transcript.pyannote[1942].end 10447.76534375
transcript.pyannote[1943].speaker SPEAKER_21
transcript.pyannote[1943].start 10447.95096875
transcript.pyannote[1943].end 10450.02659375
transcript.pyannote[1944].speaker SPEAKER_35
transcript.pyannote[1944].start 10450.02659375
transcript.pyannote[1944].end 10451.30909375
transcript.pyannote[1945].speaker SPEAKER_21
transcript.pyannote[1945].start 10451.78159375
transcript.pyannote[1945].end 10451.79846875
transcript.pyannote[1946].speaker SPEAKER_35
transcript.pyannote[1946].start 10451.79846875
transcript.pyannote[1946].end 10452.62534375
transcript.pyannote[1947].speaker SPEAKER_35
transcript.pyannote[1947].start 10453.23284375
transcript.pyannote[1947].end 10457.36721875
transcript.pyannote[1948].speaker SPEAKER_35
transcript.pyannote[1948].start 10457.83971875
transcript.pyannote[1948].end 10459.76346875
transcript.pyannote[1949].speaker SPEAKER_21
transcript.pyannote[1949].start 10459.76346875
transcript.pyannote[1949].end 10459.79721875
transcript.pyannote[1950].speaker SPEAKER_35
transcript.pyannote[1950].start 10459.79721875
transcript.pyannote[1950].end 10459.96596875
transcript.pyannote[1951].speaker SPEAKER_21
transcript.pyannote[1951].start 10459.96596875
transcript.pyannote[1951].end 10462.95284375
transcript.pyannote[1952].speaker SPEAKER_21
transcript.pyannote[1952].start 10463.52659375
transcript.pyannote[1952].end 10468.26846875
transcript.pyannote[1953].speaker SPEAKER_21
transcript.pyannote[1953].start 10469.12909375
transcript.pyannote[1953].end 10471.03596875
transcript.pyannote[1954].speaker SPEAKER_21
transcript.pyannote[1954].start 10471.30596875
transcript.pyannote[1954].end 10472.62221875
transcript.pyannote[1955].speaker SPEAKER_21
transcript.pyannote[1955].start 10472.70659375
transcript.pyannote[1955].end 10473.76971875
transcript.pyannote[1956].speaker SPEAKER_21
transcript.pyannote[1956].start 10473.97221875
transcript.pyannote[1956].end 10475.57534375
transcript.pyannote[1957].speaker SPEAKER_21
transcript.pyannote[1957].start 10475.69346875
transcript.pyannote[1957].end 10478.83221875
transcript.pyannote[1958].speaker SPEAKER_21
transcript.pyannote[1958].start 10479.05159375
transcript.pyannote[1958].end 10479.42284375
transcript.pyannote[1959].speaker SPEAKER_35
transcript.pyannote[1959].start 10479.42284375
transcript.pyannote[1959].end 10479.43971875
transcript.pyannote[1960].speaker SPEAKER_21
transcript.pyannote[1960].start 10480.06409375
transcript.pyannote[1960].end 10481.36346875
transcript.pyannote[1961].speaker SPEAKER_35
transcript.pyannote[1961].start 10480.08096875
transcript.pyannote[1961].end 10492.55159375
transcript.pyannote[1962].speaker SPEAKER_35
transcript.pyannote[1962].start 10492.99034375
transcript.pyannote[1962].end 10498.06971875
transcript.pyannote[1963].speaker SPEAKER_21
transcript.pyannote[1963].start 10499.06534375
transcript.pyannote[1963].end 10499.20034375
transcript.pyannote[1964].speaker SPEAKER_35
transcript.pyannote[1964].start 10499.20034375
transcript.pyannote[1964].end 10499.31846875
transcript.pyannote[1965].speaker SPEAKER_21
transcript.pyannote[1965].start 10499.31846875
transcript.pyannote[1965].end 10499.33534375
transcript.pyannote[1966].speaker SPEAKER_35
transcript.pyannote[1966].start 10499.33534375
transcript.pyannote[1966].end 10499.36909375
transcript.pyannote[1967].speaker SPEAKER_21
transcript.pyannote[1967].start 10499.36909375
transcript.pyannote[1967].end 10499.67284375
transcript.pyannote[1968].speaker SPEAKER_35
transcript.pyannote[1968].start 10499.67284375
transcript.pyannote[1968].end 10499.70659375
transcript.pyannote[1969].speaker SPEAKER_21
transcript.pyannote[1969].start 10499.70659375
transcript.pyannote[1969].end 10499.72346875
transcript.pyannote[1970].speaker SPEAKER_35
transcript.pyannote[1970].start 10499.72346875
transcript.pyannote[1970].end 10499.97659375
transcript.pyannote[1971].speaker SPEAKER_21
transcript.pyannote[1971].start 10499.97659375
transcript.pyannote[1971].end 10513.52721875
transcript.pyannote[1972].speaker SPEAKER_35
transcript.pyannote[1972].start 10504.24596875
transcript.pyannote[1972].end 10504.26284375
transcript.pyannote[1973].speaker SPEAKER_20
transcript.pyannote[1973].start 10504.26284375
transcript.pyannote[1973].end 10504.33034375
transcript.pyannote[1974].speaker SPEAKER_35
transcript.pyannote[1974].start 10504.33034375
transcript.pyannote[1974].end 10504.36409375
transcript.pyannote[1975].speaker SPEAKER_21
transcript.pyannote[1975].start 10514.38784375
transcript.pyannote[1975].end 10516.17659375
transcript.pyannote[1976].speaker SPEAKER_35
transcript.pyannote[1976].start 10514.38784375
transcript.pyannote[1976].end 10518.57284375
transcript.pyannote[1977].speaker SPEAKER_21
transcript.pyannote[1977].start 10517.35784375
transcript.pyannote[1977].end 10524.73221875
transcript.pyannote[1978].speaker SPEAKER_21
transcript.pyannote[1978].start 10524.88409375
transcript.pyannote[1978].end 10527.04409375
transcript.pyannote[1979].speaker SPEAKER_21
transcript.pyannote[1979].start 10527.12846875
transcript.pyannote[1979].end 10531.02659375
transcript.pyannote[1980].speaker SPEAKER_35
transcript.pyannote[1980].start 10531.02659375
transcript.pyannote[1980].end 10532.41034375
transcript.pyannote[1981].speaker SPEAKER_35
transcript.pyannote[1981].start 10532.91659375
transcript.pyannote[1981].end 10533.25409375
transcript.pyannote[1982].speaker SPEAKER_35
transcript.pyannote[1982].start 10533.28784375
transcript.pyannote[1982].end 10546.18034375
transcript.pyannote[1983].speaker SPEAKER_21
transcript.pyannote[1983].start 10545.15096875
transcript.pyannote[1983].end 10549.90971875
transcript.pyannote[1984].speaker SPEAKER_35
transcript.pyannote[1984].start 10549.90971875
transcript.pyannote[1984].end 10555.17471875
transcript.pyannote[1985].speaker SPEAKER_21
transcript.pyannote[1985].start 10550.34846875
transcript.pyannote[1985].end 10551.39471875
transcript.pyannote[1986].speaker SPEAKER_21
transcript.pyannote[1986].start 10553.70659375
transcript.pyannote[1986].end 10557.35159375
transcript.pyannote[1987].speaker SPEAKER_21
transcript.pyannote[1987].start 10557.75659375
transcript.pyannote[1987].end 10558.51596875
transcript.pyannote[1988].speaker SPEAKER_35
transcript.pyannote[1988].start 10558.51596875
transcript.pyannote[1988].end 10564.37159375
transcript.pyannote[1989].speaker SPEAKER_21
transcript.pyannote[1989].start 10558.61721875
transcript.pyannote[1989].end 10559.08971875
transcript.pyannote[1990].speaker SPEAKER_35
transcript.pyannote[1990].start 10564.87784375
transcript.pyannote[1990].end 10566.56534375
transcript.pyannote[1991].speaker SPEAKER_21
transcript.pyannote[1991].start 10565.82284375
transcript.pyannote[1991].end 10567.93221875
transcript.pyannote[1992].speaker SPEAKER_21
transcript.pyannote[1992].start 10568.96159375
transcript.pyannote[1992].end 10572.55596875
transcript.pyannote[1993].speaker SPEAKER_15
transcript.pyannote[1993].start 10572.55596875
transcript.pyannote[1993].end 10572.80909375
transcript.pyannote[1994].speaker SPEAKER_15
transcript.pyannote[1994].start 10573.87221875
transcript.pyannote[1994].end 10580.13284375
transcript.pyannote[1995].speaker SPEAKER_21
transcript.pyannote[1995].start 10580.13284375
transcript.pyannote[1995].end 10585.14471875
transcript.pyannote[1996].speaker SPEAKER_21
transcript.pyannote[1996].start 10585.51596875
transcript.pyannote[1996].end 10587.62534375
transcript.pyannote[1997].speaker SPEAKER_21
transcript.pyannote[1997].start 10587.86159375
transcript.pyannote[1997].end 10591.70909375
transcript.pyannote[1998].speaker SPEAKER_21
transcript.pyannote[1998].start 10592.36721875
transcript.pyannote[1998].end 10593.22784375
transcript.pyannote[1999].speaker SPEAKER_21
transcript.pyannote[1999].start 10593.68346875
transcript.pyannote[1999].end 10606.57596875
transcript.pyannote[2000].speaker SPEAKER_21
transcript.pyannote[2000].start 10607.01471875
transcript.pyannote[2000].end 10622.84346875
transcript.pyannote[2001].speaker SPEAKER_21
transcript.pyannote[2001].start 10623.06284375
transcript.pyannote[2001].end 10624.32846875
transcript.pyannote[2002].speaker SPEAKER_21
transcript.pyannote[2002].start 10624.86846875
transcript.pyannote[2002].end 10628.22659375
transcript.pyannote[2003].speaker SPEAKER_21
transcript.pyannote[2003].start 10628.73284375
transcript.pyannote[2003].end 10631.51721875
transcript.pyannote[2004].speaker SPEAKER_21
transcript.pyannote[2004].start 10632.42846875
transcript.pyannote[2004].end 10634.97659375
transcript.pyannote[2005].speaker SPEAKER_15
transcript.pyannote[2005].start 10634.97659375
transcript.pyannote[2005].end 10635.24659375
transcript.pyannote[2006].speaker SPEAKER_21
transcript.pyannote[2006].start 10635.41534375
transcript.pyannote[2006].end 10635.43221875
transcript.pyannote[2007].speaker SPEAKER_15
transcript.pyannote[2007].start 10635.43221875
transcript.pyannote[2007].end 10640.56221875
transcript.pyannote[2008].speaker SPEAKER_21
transcript.pyannote[2008].start 10640.93346875
transcript.pyannote[2008].end 10652.93159375
transcript.pyannote[2009].speaker SPEAKER_15
transcript.pyannote[2009].start 10650.26534375
transcript.pyannote[2009].end 10651.10909375
transcript.pyannote[2010].speaker SPEAKER_21
transcript.pyannote[2010].start 10653.11721875
transcript.pyannote[2010].end 10655.24346875
transcript.pyannote[2011].speaker SPEAKER_21
transcript.pyannote[2011].start 10655.56409375
transcript.pyannote[2011].end 10664.59221875
transcript.pyannote[2012].speaker SPEAKER_21
transcript.pyannote[2012].start 10665.28409375
transcript.pyannote[2012].end 10665.75659375
transcript.pyannote[2013].speaker SPEAKER_21
transcript.pyannote[2013].start 10665.90846875
transcript.pyannote[2013].end 10666.58346875
transcript.pyannote[2014].speaker SPEAKER_21
transcript.pyannote[2014].start 10666.81971875
transcript.pyannote[2014].end 10671.54471875
transcript.pyannote[2015].speaker SPEAKER_21
transcript.pyannote[2015].start 10672.57409375
transcript.pyannote[2015].end 10677.67034375
transcript.pyannote[2016].speaker SPEAKER_21
transcript.pyannote[2016].start 10678.39596875
transcript.pyannote[2016].end 10679.20596875
transcript.pyannote[2017].speaker SPEAKER_21
transcript.pyannote[2017].start 10679.64471875
transcript.pyannote[2017].end 10680.16784375
transcript.pyannote[2018].speaker SPEAKER_21
transcript.pyannote[2018].start 10680.30284375
transcript.pyannote[2018].end 10681.38284375
transcript.pyannote[2019].speaker SPEAKER_21
transcript.pyannote[2019].start 10681.80471875
transcript.pyannote[2019].end 10682.58096875
transcript.pyannote[2020].speaker SPEAKER_21
transcript.pyannote[2020].start 10683.39096875
transcript.pyannote[2020].end 10684.30221875
transcript.pyannote[2021].speaker SPEAKER_15
transcript.pyannote[2021].start 10684.30221875
transcript.pyannote[2021].end 10684.33596875
transcript.pyannote[2022].speaker SPEAKER_21
transcript.pyannote[2022].start 10684.65659375
transcript.pyannote[2022].end 10684.97721875
transcript.pyannote[2023].speaker SPEAKER_15
transcript.pyannote[2023].start 10684.97721875
transcript.pyannote[2023].end 10718.72721875
transcript.pyannote[2024].speaker SPEAKER_21
transcript.pyannote[2024].start 10714.66034375
transcript.pyannote[2024].end 10717.42784375
transcript.pyannote[2025].speaker SPEAKER_21
transcript.pyannote[2025].start 10718.25471875
transcript.pyannote[2025].end 10729.71284375
transcript.pyannote[2026].speaker SPEAKER_21
transcript.pyannote[2026].start 10730.05034375
transcript.pyannote[2026].end 10733.00346875
transcript.pyannote[2027].speaker SPEAKER_15
transcript.pyannote[2027].start 10733.91471875
transcript.pyannote[2027].end 10733.93159375
transcript.pyannote[2028].speaker SPEAKER_21
transcript.pyannote[2028].start 10733.93159375
transcript.pyannote[2028].end 10733.96534375
transcript.pyannote[2029].speaker SPEAKER_15
transcript.pyannote[2029].start 10733.96534375
transcript.pyannote[2029].end 10734.04971875
transcript.pyannote[2030].speaker SPEAKER_21
transcript.pyannote[2030].start 10734.04971875
transcript.pyannote[2030].end 10734.20159375
transcript.pyannote[2031].speaker SPEAKER_15
transcript.pyannote[2031].start 10734.20159375
transcript.pyannote[2031].end 10734.33659375
transcript.pyannote[2032].speaker SPEAKER_21
transcript.pyannote[2032].start 10734.33659375
transcript.pyannote[2032].end 10734.97784375
transcript.pyannote[2033].speaker SPEAKER_15
transcript.pyannote[2033].start 10734.97784375
transcript.pyannote[2033].end 10736.29409375
transcript.pyannote[2034].speaker SPEAKER_21
transcript.pyannote[2034].start 10736.29409375
transcript.pyannote[2034].end 10736.37846875
transcript.pyannote[2035].speaker SPEAKER_15
transcript.pyannote[2035].start 10736.37846875
transcript.pyannote[2035].end 10736.66534375
transcript.pyannote[2036].speaker SPEAKER_21
transcript.pyannote[2036].start 10738.06596875
transcript.pyannote[2036].end 10742.18346875
transcript.pyannote[2037].speaker SPEAKER_15
transcript.pyannote[2037].start 10742.18346875
transcript.pyannote[2037].end 10742.50409375
transcript.pyannote[2038].speaker SPEAKER_21
transcript.pyannote[2038].start 10742.50409375
transcript.pyannote[2038].end 10746.90846875
transcript.pyannote[2039].speaker SPEAKER_15
transcript.pyannote[2039].start 10748.24159375
transcript.pyannote[2039].end 10748.29221875
transcript.pyannote[2040].speaker SPEAKER_21
transcript.pyannote[2040].start 10748.29221875
transcript.pyannote[2040].end 10748.57909375
transcript.pyannote[2041].speaker SPEAKER_21
transcript.pyannote[2041].start 10749.11909375
transcript.pyannote[2041].end 10750.70534375
transcript.pyannote[2042].speaker SPEAKER_15
transcript.pyannote[2042].start 10750.70534375
transcript.pyannote[2042].end 10750.72221875
transcript.pyannote[2043].speaker SPEAKER_14
transcript.pyannote[2043].start 10751.14409375
transcript.pyannote[2043].end 10762.95659375
transcript.pyannote[2044].speaker SPEAKER_15
transcript.pyannote[2044].start 10760.03721875
transcript.pyannote[2044].end 10761.03284375
transcript.pyannote[2045].speaker SPEAKER_21
transcript.pyannote[2045].start 10761.03284375
transcript.pyannote[2045].end 10761.20159375
transcript.pyannote[2046].speaker SPEAKER_14
transcript.pyannote[2046].start 10763.83409375
transcript.pyannote[2046].end 10763.86784375
transcript.pyannote[2047].speaker SPEAKER_21
transcript.pyannote[2047].start 10763.86784375
transcript.pyannote[2047].end 10765.63971875
transcript.pyannote[2048].speaker SPEAKER_21
transcript.pyannote[2048].start 10766.16284375
transcript.pyannote[2048].end 10767.88409375
transcript.pyannote[2049].speaker SPEAKER_21
transcript.pyannote[2049].start 10768.44096875
transcript.pyannote[2049].end 10769.40284375
transcript.pyannote[2050].speaker SPEAKER_21
transcript.pyannote[2050].start 10770.19596875
transcript.pyannote[2050].end 10770.44909375
transcript.pyannote[2051].speaker SPEAKER_21
transcript.pyannote[2051].start 10770.73596875
transcript.pyannote[2051].end 10772.89596875
transcript.pyannote[2052].speaker SPEAKER_21
transcript.pyannote[2052].start 10773.19971875
transcript.pyannote[2052].end 10785.02909375
transcript.pyannote[2053].speaker SPEAKER_14
transcript.pyannote[2053].start 10785.02909375
transcript.pyannote[2053].end 10796.77409375
transcript.pyannote[2054].speaker SPEAKER_19
transcript.pyannote[2054].start 10790.41221875
transcript.pyannote[2054].end 10790.86784375
transcript.pyannote[2055].speaker SPEAKER_21
transcript.pyannote[2055].start 10791.03659375
transcript.pyannote[2055].end 10791.15471875
transcript.pyannote[2056].speaker SPEAKER_21
transcript.pyannote[2056].start 10795.33971875
transcript.pyannote[2056].end 10799.17034375
transcript.pyannote[2057].speaker SPEAKER_21
transcript.pyannote[2057].start 10799.47409375
transcript.pyannote[2057].end 10804.41846875
transcript.pyannote[2058].speaker SPEAKER_21
transcript.pyannote[2058].start 10804.90784375
transcript.pyannote[2058].end 10815.79221875
transcript.pyannote[2059].speaker SPEAKER_15
transcript.pyannote[2059].start 10815.79221875
transcript.pyannote[2059].end 10815.96096875
transcript.pyannote[2060].speaker SPEAKER_21
transcript.pyannote[2060].start 10815.96096875
transcript.pyannote[2060].end 10815.97784375
transcript.pyannote[2061].speaker SPEAKER_15
transcript.pyannote[2061].start 10815.97784375
transcript.pyannote[2061].end 10822.50846875
transcript.pyannote[2062].speaker SPEAKER_21
transcript.pyannote[2062].start 10819.85909375
transcript.pyannote[2062].end 10821.05721875
transcript.pyannote[2063].speaker SPEAKER_21
transcript.pyannote[2063].start 10821.69846875
transcript.pyannote[2063].end 10829.78159375
transcript.pyannote[2064].speaker SPEAKER_21
transcript.pyannote[2064].start 10830.06846875
transcript.pyannote[2064].end 10832.05971875
transcript.pyannote[2065].speaker SPEAKER_21
transcript.pyannote[2065].start 10832.26221875
transcript.pyannote[2065].end 10834.43909375
transcript.pyannote[2066].speaker SPEAKER_21
transcript.pyannote[2066].start 10834.82721875
transcript.pyannote[2066].end 10838.42159375
transcript.pyannote[2067].speaker SPEAKER_21
transcript.pyannote[2067].start 10838.50596875
transcript.pyannote[2067].end 10842.57284375
transcript.pyannote[2068].speaker SPEAKER_21
transcript.pyannote[2068].start 10843.09596875
transcript.pyannote[2068].end 10843.93971875
transcript.pyannote[2069].speaker SPEAKER_21
transcript.pyannote[2069].start 10844.91846875
transcript.pyannote[2069].end 10848.20909375
transcript.pyannote[2070].speaker SPEAKER_21
transcript.pyannote[2070].start 10848.61409375
transcript.pyannote[2070].end 10849.82909375
transcript.pyannote[2071].speaker SPEAKER_21
transcript.pyannote[2071].start 10850.16659375
transcript.pyannote[2071].end 10850.65596875
transcript.pyannote[2072].speaker SPEAKER_21
transcript.pyannote[2072].start 10850.97659375
transcript.pyannote[2072].end 10854.58784375
transcript.pyannote[2073].speaker SPEAKER_21
transcript.pyannote[2073].start 10855.31346875
transcript.pyannote[2073].end 10855.66784375
transcript.pyannote[2074].speaker SPEAKER_21
transcript.pyannote[2074].start 10855.98846875
transcript.pyannote[2074].end 10862.48534375
transcript.pyannote[2075].speaker SPEAKER_21
transcript.pyannote[2075].start 10863.24471875
transcript.pyannote[2075].end 10866.02909375
transcript.pyannote[2076].speaker SPEAKER_21
transcript.pyannote[2076].start 10866.29909375
transcript.pyannote[2076].end 10866.85596875
transcript.pyannote[2077].speaker SPEAKER_21
transcript.pyannote[2077].start 10867.04159375
transcript.pyannote[2077].end 10870.80471875
transcript.pyannote[2078].speaker SPEAKER_21
transcript.pyannote[2078].start 10871.76659375
transcript.pyannote[2078].end 10872.66096875
transcript.pyannote[2079].speaker SPEAKER_21
transcript.pyannote[2079].start 10872.94784375
transcript.pyannote[2079].end 10873.60596875
transcript.pyannote[2080].speaker SPEAKER_21
transcript.pyannote[2080].start 10873.84221875
transcript.pyannote[2080].end 10881.50346875
transcript.pyannote[2081].speaker SPEAKER_21
transcript.pyannote[2081].start 10882.63409375
transcript.pyannote[2081].end 10884.87846875
transcript.pyannote[2082].speaker SPEAKER_29
transcript.pyannote[2082].start 10885.62096875
transcript.pyannote[2082].end 10885.84034375
transcript.pyannote[2083].speaker SPEAKER_03
transcript.pyannote[2083].start 10885.97534375
transcript.pyannote[2083].end 10886.00909375
transcript.pyannote[2084].speaker SPEAKER_21
transcript.pyannote[2084].start 10886.02596875
transcript.pyannote[2084].end 10886.85284375
transcript.pyannote[2085].speaker SPEAKER_21
transcript.pyannote[2085].start 10888.10159375
transcript.pyannote[2085].end 10888.43909375
transcript.pyannote[2086].speaker SPEAKER_11
transcript.pyannote[2086].start 10888.43909375
transcript.pyannote[2086].end 10888.57409375
transcript.pyannote[2087].speaker SPEAKER_21
transcript.pyannote[2087].start 10888.57409375
transcript.pyannote[2087].end 10889.70471875
transcript.pyannote[2088].speaker SPEAKER_11
transcript.pyannote[2088].start 10889.70471875
transcript.pyannote[2088].end 10889.72159375
transcript.pyannote[2089].speaker SPEAKER_11
transcript.pyannote[2089].start 10893.82221875
transcript.pyannote[2089].end 10893.83909375
transcript.pyannote[2090].speaker SPEAKER_11
transcript.pyannote[2090].start 10893.97409375
transcript.pyannote[2090].end 10894.02471875
transcript.pyannote[2091].speaker SPEAKER_03
transcript.pyannote[2091].start 10894.85159375
transcript.pyannote[2091].end 10895.02034375
transcript.pyannote[2092].speaker SPEAKER_21
transcript.pyannote[2092].start 10900.97721875
transcript.pyannote[2092].end 10903.79534375
transcript.pyannote[2093].speaker SPEAKER_32
transcript.pyannote[2093].start 10911.79409375
transcript.pyannote[2093].end 10913.07659375
transcript.pyannote[2094].speaker SPEAKER_32
transcript.pyannote[2094].start 10913.90346875
transcript.pyannote[2094].end 10915.64159375
transcript.pyannote[2095].speaker SPEAKER_32
transcript.pyannote[2095].start 10915.99596875
transcript.pyannote[2095].end 10919.38784375
transcript.pyannote[2096].speaker SPEAKER_32
transcript.pyannote[2096].start 10919.57346875
transcript.pyannote[2096].end 10924.66971875
transcript.pyannote[2097].speaker SPEAKER_32
transcript.pyannote[2097].start 10925.80034375
transcript.pyannote[2097].end 10927.53846875
transcript.pyannote[2098].speaker SPEAKER_32
transcript.pyannote[2098].start 10927.67346875
transcript.pyannote[2098].end 10929.63096875
transcript.pyannote[2099].speaker SPEAKER_32
transcript.pyannote[2099].start 10930.22159375
transcript.pyannote[2099].end 10933.19159375
transcript.pyannote[2100].speaker SPEAKER_32
transcript.pyannote[2100].start 10933.69784375
transcript.pyannote[2100].end 10942.20284375
transcript.pyannote[2101].speaker SPEAKER_32
transcript.pyannote[2101].start 10942.67534375
transcript.pyannote[2101].end 10950.23534375
transcript.pyannote[2102].speaker SPEAKER_32
transcript.pyannote[2102].start 10950.47159375
transcript.pyannote[2102].end 10951.56846875
transcript.pyannote[2103].speaker SPEAKER_32
transcript.pyannote[2103].start 10951.63596875
transcript.pyannote[2103].end 10952.09159375
transcript.pyannote[2104].speaker SPEAKER_32
transcript.pyannote[2104].start 10952.32784375
transcript.pyannote[2104].end 10953.35721875
transcript.pyannote[2105].speaker SPEAKER_32
transcript.pyannote[2105].start 10953.88034375
transcript.pyannote[2105].end 10955.23034375
transcript.pyannote[2106].speaker SPEAKER_32
transcript.pyannote[2106].start 10955.75346875
transcript.pyannote[2106].end 10957.94721875
transcript.pyannote[2107].speaker SPEAKER_32
transcript.pyannote[2107].start 10958.28471875
transcript.pyannote[2107].end 10961.38971875
transcript.pyannote[2108].speaker SPEAKER_32
transcript.pyannote[2108].start 10962.38534375
transcript.pyannote[2108].end 10962.75659375
transcript.pyannote[2109].speaker SPEAKER_32
transcript.pyannote[2109].start 10963.51596875
transcript.pyannote[2109].end 10965.92909375
transcript.pyannote[2110].speaker SPEAKER_32
transcript.pyannote[2110].start 10966.21596875
transcript.pyannote[2110].end 10968.30846875
transcript.pyannote[2111].speaker SPEAKER_32
transcript.pyannote[2111].start 10968.71346875
transcript.pyannote[2111].end 10972.81409375
transcript.pyannote[2112].speaker SPEAKER_32
transcript.pyannote[2112].start 10973.45534375
transcript.pyannote[2112].end 10976.27346875
transcript.pyannote[2113].speaker SPEAKER_32
transcript.pyannote[2113].start 10976.32409375
transcript.pyannote[2113].end 10976.35784375
transcript.pyannote[2114].speaker SPEAKER_32
transcript.pyannote[2114].start 10976.49284375
transcript.pyannote[2114].end 10982.80409375
transcript.pyannote[2115].speaker SPEAKER_32
transcript.pyannote[2115].start 10983.19221875
transcript.pyannote[2115].end 10989.43596875
transcript.pyannote[2116].speaker SPEAKER_32
transcript.pyannote[2116].start 10989.57096875
transcript.pyannote[2116].end 10991.46096875
transcript.pyannote[2117].speaker SPEAKER_32
transcript.pyannote[2117].start 10991.96721875
transcript.pyannote[2117].end 10994.92034375
transcript.pyannote[2118].speaker SPEAKER_32
transcript.pyannote[2118].start 10995.51096875
transcript.pyannote[2118].end 11004.89346875
transcript.pyannote[2119].speaker SPEAKER_32
transcript.pyannote[2119].start 11005.06221875
transcript.pyannote[2119].end 11009.14596875
transcript.pyannote[2120].speaker SPEAKER_32
transcript.pyannote[2120].start 11009.88846875
transcript.pyannote[2120].end 11013.66846875
transcript.pyannote[2121].speaker SPEAKER_32
transcript.pyannote[2121].start 11014.54596875
transcript.pyannote[2121].end 11015.98034375
transcript.pyannote[2122].speaker SPEAKER_32
transcript.pyannote[2122].start 11016.60471875
transcript.pyannote[2122].end 11019.77721875
transcript.pyannote[2123].speaker SPEAKER_32
transcript.pyannote[2123].start 11020.31721875
transcript.pyannote[2123].end 11021.90346875
transcript.pyannote[2124].speaker SPEAKER_32
transcript.pyannote[2124].start 11022.00471875
transcript.pyannote[2124].end 11024.72159375
transcript.pyannote[2125].speaker SPEAKER_32
transcript.pyannote[2125].start 11025.12659375
transcript.pyannote[2125].end 11029.14284375
transcript.pyannote[2126].speaker SPEAKER_32
transcript.pyannote[2126].start 11029.73346875
transcript.pyannote[2126].end 11031.26909375
transcript.pyannote[2127].speaker SPEAKER_32
transcript.pyannote[2127].start 11031.72471875
transcript.pyannote[2127].end 11044.22909375
transcript.pyannote[2128].speaker SPEAKER_32
transcript.pyannote[2128].start 11044.63409375
transcript.pyannote[2128].end 11045.25846875
transcript.pyannote[2129].speaker SPEAKER_32
transcript.pyannote[2129].start 11045.71409375
transcript.pyannote[2129].end 11049.20721875
transcript.pyannote[2130].speaker SPEAKER_32
transcript.pyannote[2130].start 11049.84846875
transcript.pyannote[2130].end 11058.08346875
transcript.pyannote[2131].speaker SPEAKER_32
transcript.pyannote[2131].start 11058.74159375
transcript.pyannote[2131].end 11063.17971875
transcript.pyannote[2132].speaker SPEAKER_32
transcript.pyannote[2132].start 11063.80409375
transcript.pyannote[2132].end 11064.36096875
transcript.pyannote[2133].speaker SPEAKER_32
transcript.pyannote[2133].start 11064.47909375
transcript.pyannote[2133].end 11065.66034375
transcript.pyannote[2134].speaker SPEAKER_32
transcript.pyannote[2134].start 11065.82909375
transcript.pyannote[2134].end 11067.09471875
transcript.pyannote[2135].speaker SPEAKER_32
transcript.pyannote[2135].start 11067.46596875
transcript.pyannote[2135].end 11069.82846875
transcript.pyannote[2136].speaker SPEAKER_32
transcript.pyannote[2136].start 11071.14471875
transcript.pyannote[2136].end 11071.65096875
transcript.pyannote[2137].speaker SPEAKER_32
transcript.pyannote[2137].start 11072.61284375
transcript.pyannote[2137].end 11076.81471875
transcript.pyannote[2138].speaker SPEAKER_32
transcript.pyannote[2138].start 11077.42221875
transcript.pyannote[2138].end 11079.73409375
transcript.pyannote[2139].speaker SPEAKER_32
transcript.pyannote[2139].start 11080.20659375
transcript.pyannote[2139].end 11083.85159375
transcript.pyannote[2140].speaker SPEAKER_32
transcript.pyannote[2140].start 11084.44221875
transcript.pyannote[2140].end 11085.45471875
transcript.pyannote[2141].speaker SPEAKER_32
transcript.pyannote[2141].start 11086.19721875
transcript.pyannote[2141].end 11088.59346875
transcript.pyannote[2142].speaker SPEAKER_32
transcript.pyannote[2142].start 11089.55534375
transcript.pyannote[2142].end 11090.78721875
transcript.pyannote[2143].speaker SPEAKER_32
transcript.pyannote[2143].start 11091.32721875
transcript.pyannote[2143].end 11092.84596875
transcript.pyannote[2144].speaker SPEAKER_32
transcript.pyannote[2144].start 11092.98096875
transcript.pyannote[2144].end 11096.38971875
transcript.pyannote[2145].speaker SPEAKER_32
transcript.pyannote[2145].start 11097.79034375
transcript.pyannote[2145].end 11098.34721875
transcript.pyannote[2146].speaker SPEAKER_32
transcript.pyannote[2146].start 11098.93784375
transcript.pyannote[2146].end 11100.32159375
transcript.pyannote[2147].speaker SPEAKER_32
transcript.pyannote[2147].start 11100.99659375
transcript.pyannote[2147].end 11102.76846875
transcript.pyannote[2148].speaker SPEAKER_32
transcript.pyannote[2148].start 11103.02159375
transcript.pyannote[2148].end 11104.25346875
transcript.pyannote[2149].speaker SPEAKER_32
transcript.pyannote[2149].start 11104.74284375
transcript.pyannote[2149].end 11108.75909375
transcript.pyannote[2150].speaker SPEAKER_32
transcript.pyannote[2150].start 11109.36659375
transcript.pyannote[2150].end 11113.68659375
transcript.pyannote[2151].speaker SPEAKER_32
transcript.pyannote[2151].start 11114.37846875
transcript.pyannote[2151].end 11116.20096875
transcript.pyannote[2152].speaker SPEAKER_32
transcript.pyannote[2152].start 11116.69034375
transcript.pyannote[2152].end 11119.59284375
transcript.pyannote[2153].speaker SPEAKER_32
transcript.pyannote[2153].start 11119.74471875
transcript.pyannote[2153].end 11124.57096875
transcript.pyannote[2154].speaker SPEAKER_32
transcript.pyannote[2154].start 11124.79034375
transcript.pyannote[2154].end 11128.16534375
transcript.pyannote[2155].speaker SPEAKER_32
transcript.pyannote[2155].start 11128.75596875
transcript.pyannote[2155].end 11132.77221875
transcript.pyannote[2156].speaker SPEAKER_32
transcript.pyannote[2156].start 11133.43034375
transcript.pyannote[2156].end 11134.20659375
transcript.pyannote[2157].speaker SPEAKER_32
transcript.pyannote[2157].start 11134.61159375
transcript.pyannote[2157].end 11137.05846875
transcript.pyannote[2158].speaker SPEAKER_32
transcript.pyannote[2158].start 11137.15971875
transcript.pyannote[2158].end 11142.15471875
transcript.pyannote[2159].speaker SPEAKER_32
transcript.pyannote[2159].start 11142.61034375
transcript.pyannote[2159].end 11144.95596875
transcript.pyannote[2160].speaker SPEAKER_32
transcript.pyannote[2160].start 11145.34409375
transcript.pyannote[2160].end 11147.26784375
transcript.pyannote[2161].speaker SPEAKER_32
transcript.pyannote[2161].start 11147.77409375
transcript.pyannote[2161].end 11151.38534375
transcript.pyannote[2162].speaker SPEAKER_32
transcript.pyannote[2162].start 11151.84096875
transcript.pyannote[2162].end 11154.38909375
transcript.pyannote[2163].speaker SPEAKER_32
transcript.pyannote[2163].start 11154.57471875
transcript.pyannote[2163].end 11156.29596875
transcript.pyannote[2164].speaker SPEAKER_32
transcript.pyannote[2164].start 11156.58284375
transcript.pyannote[2164].end 11158.43909375
transcript.pyannote[2165].speaker SPEAKER_32
transcript.pyannote[2165].start 11158.91159375
transcript.pyannote[2165].end 11159.35034375
transcript.pyannote[2166].speaker SPEAKER_32
transcript.pyannote[2166].start 11160.12659375
transcript.pyannote[2166].end 11161.27409375
transcript.pyannote[2167].speaker SPEAKER_32
transcript.pyannote[2167].start 11162.16846875
transcript.pyannote[2167].end 11165.37471875
transcript.pyannote[2168].speaker SPEAKER_32
transcript.pyannote[2168].start 11166.13409375
transcript.pyannote[2168].end 11168.91846875
transcript.pyannote[2169].speaker SPEAKER_32
transcript.pyannote[2169].start 11169.94784375
transcript.pyannote[2169].end 11171.23034375
transcript.pyannote[2170].speaker SPEAKER_32
transcript.pyannote[2170].start 11172.39471875
transcript.pyannote[2170].end 11173.47471875
transcript.pyannote[2171].speaker SPEAKER_32
transcript.pyannote[2171].start 11173.86284375
transcript.pyannote[2171].end 11175.68534375
transcript.pyannote[2172].speaker SPEAKER_32
transcript.pyannote[2172].start 11175.75284375
transcript.pyannote[2172].end 11176.29284375
transcript.pyannote[2173].speaker SPEAKER_32
transcript.pyannote[2173].start 11176.79909375
transcript.pyannote[2173].end 11180.00534375
transcript.pyannote[2174].speaker SPEAKER_32
transcript.pyannote[2174].start 11180.71409375
transcript.pyannote[2174].end 11183.70096875
transcript.pyannote[2175].speaker SPEAKER_32
transcript.pyannote[2175].start 11184.32534375
transcript.pyannote[2175].end 11186.83971875
transcript.pyannote[2176].speaker SPEAKER_32
transcript.pyannote[2176].start 11187.46409375
transcript.pyannote[2176].end 11188.20659375
transcript.pyannote[2177].speaker SPEAKER_32
transcript.pyannote[2177].start 11188.34159375
transcript.pyannote[2177].end 11188.45971875
transcript.pyannote[2178].speaker SPEAKER_32
transcript.pyannote[2178].start 11189.03346875
transcript.pyannote[2178].end 11190.53534375
transcript.pyannote[2179].speaker SPEAKER_32
transcript.pyannote[2179].start 11191.24409375
transcript.pyannote[2179].end 11191.54784375
transcript.pyannote[2180].speaker SPEAKER_32
transcript.pyannote[2180].start 11191.96971875
transcript.pyannote[2180].end 11192.83034375
transcript.pyannote[2181].speaker SPEAKER_32
transcript.pyannote[2181].start 11192.94846875
transcript.pyannote[2181].end 11195.85096875
transcript.pyannote[2182].speaker SPEAKER_32
transcript.pyannote[2182].start 11196.12096875
transcript.pyannote[2182].end 11198.68596875
transcript.pyannote[2183].speaker SPEAKER_32
transcript.pyannote[2183].start 11199.22596875
transcript.pyannote[2183].end 11202.06096875
transcript.pyannote[2184].speaker SPEAKER_32
transcript.pyannote[2184].start 11202.83721875
transcript.pyannote[2184].end 11203.84971875
transcript.pyannote[2185].speaker SPEAKER_32
transcript.pyannote[2185].start 11204.72721875
transcript.pyannote[2185].end 11205.87471875
transcript.pyannote[2186].speaker SPEAKER_32
transcript.pyannote[2186].start 11206.60034375
transcript.pyannote[2186].end 11207.47784375
transcript.pyannote[2187].speaker SPEAKER_32
transcript.pyannote[2187].start 11207.56221875
transcript.pyannote[2187].end 11209.48596875
transcript.pyannote[2188].speaker SPEAKER_32
transcript.pyannote[2188].start 11209.87409375
transcript.pyannote[2188].end 11212.16909375
transcript.pyannote[2189].speaker SPEAKER_32
transcript.pyannote[2189].start 11212.57409375
transcript.pyannote[2189].end 11213.53596875
transcript.pyannote[2190].speaker SPEAKER_32
transcript.pyannote[2190].start 11213.72159375
transcript.pyannote[2190].end 11214.61596875
transcript.pyannote[2191].speaker SPEAKER_32
transcript.pyannote[2191].start 11214.98721875
transcript.pyannote[2191].end 11219.88096875
transcript.pyannote[2192].speaker SPEAKER_32
transcript.pyannote[2192].start 11220.42096875
transcript.pyannote[2192].end 11221.75409375
transcript.pyannote[2193].speaker SPEAKER_32
transcript.pyannote[2193].start 11222.49659375
transcript.pyannote[2193].end 11226.51284375
transcript.pyannote[2194].speaker SPEAKER_32
transcript.pyannote[2194].start 11227.13721875
transcript.pyannote[2194].end 11231.65971875
transcript.pyannote[2195].speaker SPEAKER_32
transcript.pyannote[2195].start 11232.38534375
transcript.pyannote[2195].end 11233.46534375
transcript.pyannote[2196].speaker SPEAKER_32
transcript.pyannote[2196].start 11234.19096875
transcript.pyannote[2196].end 11238.74721875
transcript.pyannote[2197].speaker SPEAKER_32
transcript.pyannote[2197].start 11238.88221875
transcript.pyannote[2197].end 11239.89471875
transcript.pyannote[2198].speaker SPEAKER_32
transcript.pyannote[2198].start 11240.62034375
transcript.pyannote[2198].end 11244.21471875
transcript.pyannote[2199].speaker SPEAKER_32
transcript.pyannote[2199].start 11244.77159375
transcript.pyannote[2199].end 11249.20971875
transcript.pyannote[2200].speaker SPEAKER_32
transcript.pyannote[2200].start 11249.73284375
transcript.pyannote[2200].end 11250.79596875
transcript.pyannote[2201].speaker SPEAKER_32
transcript.pyannote[2201].start 11251.28534375
transcript.pyannote[2201].end 11252.26409375
transcript.pyannote[2202].speaker SPEAKER_32
transcript.pyannote[2202].start 11252.80409375
transcript.pyannote[2202].end 11254.52534375
transcript.pyannote[2203].speaker SPEAKER_32
transcript.pyannote[2203].start 11255.06534375
transcript.pyannote[2203].end 11256.83721875
transcript.pyannote[2204].speaker SPEAKER_32
transcript.pyannote[2204].start 11257.34346875
transcript.pyannote[2204].end 11258.71034375
transcript.pyannote[2205].speaker SPEAKER_32
transcript.pyannote[2205].start 11259.16596875
transcript.pyannote[2205].end 11261.35971875
transcript.pyannote[2206].speaker SPEAKER_32
transcript.pyannote[2206].start 11262.01784375
transcript.pyannote[2206].end 11269.61159375
transcript.pyannote[2207].speaker SPEAKER_32
transcript.pyannote[2207].start 11270.21909375
transcript.pyannote[2207].end 11272.34534375
transcript.pyannote[2208].speaker SPEAKER_15
transcript.pyannote[2208].start 11272.34534375
transcript.pyannote[2208].end 11272.78409375
transcript.pyannote[2209].speaker SPEAKER_32
transcript.pyannote[2209].start 11272.78409375
transcript.pyannote[2209].end 11276.58096875
transcript.pyannote[2210].speaker SPEAKER_32
transcript.pyannote[2210].start 11277.07034375
transcript.pyannote[2210].end 11279.12909375
transcript.pyannote[2211].speaker SPEAKER_32
transcript.pyannote[2211].start 11279.82096875
transcript.pyannote[2211].end 11281.98096875
transcript.pyannote[2212].speaker SPEAKER_32
transcript.pyannote[2212].start 11282.52096875
transcript.pyannote[2212].end 11283.71909375
transcript.pyannote[2213].speaker SPEAKER_32
transcript.pyannote[2213].start 11284.42784375
transcript.pyannote[2213].end 11287.27971875
transcript.pyannote[2214].speaker SPEAKER_32
transcript.pyannote[2214].start 11287.90409375
transcript.pyannote[2214].end 11290.09784375
transcript.pyannote[2215].speaker SPEAKER_32
transcript.pyannote[2215].start 11291.92034375
transcript.pyannote[2215].end 11292.34221875
transcript.pyannote[2216].speaker SPEAKER_32
transcript.pyannote[2216].start 11293.37159375
transcript.pyannote[2216].end 11295.32909375
transcript.pyannote[2217].speaker SPEAKER_32
transcript.pyannote[2217].start 11296.03784375
transcript.pyannote[2217].end 11297.55659375
transcript.pyannote[2218].speaker SPEAKER_32
transcript.pyannote[2218].start 11298.68721875
transcript.pyannote[2218].end 11302.06221875
transcript.pyannote[2219].speaker SPEAKER_32
transcript.pyannote[2219].start 11302.70346875
transcript.pyannote[2219].end 11304.99846875
transcript.pyannote[2220].speaker SPEAKER_32
transcript.pyannote[2220].start 11305.55534375
transcript.pyannote[2220].end 11310.02721875
transcript.pyannote[2221].speaker SPEAKER_32
transcript.pyannote[2221].start 11310.48284375
transcript.pyannote[2221].end 11311.41096875
transcript.pyannote[2222].speaker SPEAKER_32
transcript.pyannote[2222].start 11311.71471875
transcript.pyannote[2222].end 11315.35971875
transcript.pyannote[2223].speaker SPEAKER_32
transcript.pyannote[2223].start 11316.47346875
transcript.pyannote[2223].end 11317.01346875
transcript.pyannote[2224].speaker SPEAKER_32
transcript.pyannote[2224].start 11317.78971875
transcript.pyannote[2224].end 11319.13971875
transcript.pyannote[2225].speaker SPEAKER_32
transcript.pyannote[2225].start 11319.79784375
transcript.pyannote[2225].end 11322.29534375
transcript.pyannote[2226].speaker SPEAKER_32
transcript.pyannote[2226].start 11322.90284375
transcript.pyannote[2226].end 11324.33721875
transcript.pyannote[2227].speaker SPEAKER_32
transcript.pyannote[2227].start 11324.97846875
transcript.pyannote[2227].end 11326.32846875
transcript.pyannote[2228].speaker SPEAKER_32
transcript.pyannote[2228].start 11327.34096875
transcript.pyannote[2228].end 11329.50096875
transcript.pyannote[2229].speaker SPEAKER_32
transcript.pyannote[2229].start 11330.31096875
transcript.pyannote[2229].end 11335.69409375
transcript.pyannote[2230].speaker SPEAKER_32
transcript.pyannote[2230].start 11336.38596875
transcript.pyannote[2230].end 11338.03971875
transcript.pyannote[2231].speaker SPEAKER_32
transcript.pyannote[2231].start 11338.84971875
transcript.pyannote[2231].end 11343.40596875
transcript.pyannote[2232].speaker SPEAKER_32
transcript.pyannote[2232].start 11344.09784375
transcript.pyannote[2232].end 11345.53221875
transcript.pyannote[2233].speaker SPEAKER_32
transcript.pyannote[2233].start 11346.56159375
transcript.pyannote[2233].end 11350.00409375
transcript.pyannote[2234].speaker SPEAKER_32
transcript.pyannote[2234].start 11350.39221875
transcript.pyannote[2234].end 11351.30346875
transcript.pyannote[2235].speaker SPEAKER_32
transcript.pyannote[2235].start 11351.77596875
transcript.pyannote[2235].end 11353.80096875
transcript.pyannote[2236].speaker SPEAKER_32
transcript.pyannote[2236].start 11354.32409375
transcript.pyannote[2236].end 11356.34909375
transcript.pyannote[2237].speaker SPEAKER_32
transcript.pyannote[2237].start 11356.58534375
transcript.pyannote[2237].end 11358.35721875
transcript.pyannote[2238].speaker SPEAKER_32
transcript.pyannote[2238].start 11359.52159375
transcript.pyannote[2238].end 11363.23409375
transcript.pyannote[2239].speaker SPEAKER_32
transcript.pyannote[2239].start 11363.30159375
transcript.pyannote[2239].end 11365.07346875
transcript.pyannote[2240].speaker SPEAKER_32
transcript.pyannote[2240].start 11365.78221875
transcript.pyannote[2240].end 11370.59159375
transcript.pyannote[2241].speaker SPEAKER_32
transcript.pyannote[2241].start 11371.41846875
transcript.pyannote[2241].end 11373.17346875
transcript.pyannote[2242].speaker SPEAKER_32
transcript.pyannote[2242].start 11374.20284375
transcript.pyannote[2242].end 11375.46846875
transcript.pyannote[2243].speaker SPEAKER_32
transcript.pyannote[2243].start 11375.92409375
transcript.pyannote[2243].end 11377.51034375
transcript.pyannote[2244].speaker SPEAKER_32
transcript.pyannote[2244].start 11378.08409375
transcript.pyannote[2244].end 11380.26096875
transcript.pyannote[2245].speaker SPEAKER_32
transcript.pyannote[2245].start 11380.39596875
transcript.pyannote[2245].end 11386.08284375
transcript.pyannote[2246].speaker SPEAKER_32
transcript.pyannote[2246].start 11386.53846875
transcript.pyannote[2246].end 11389.44096875
transcript.pyannote[2247].speaker SPEAKER_32
transcript.pyannote[2247].start 11389.84596875
transcript.pyannote[2247].end 11391.56721875
transcript.pyannote[2248].speaker SPEAKER_32
transcript.pyannote[2248].start 11392.42784375
transcript.pyannote[2248].end 11394.16596875
transcript.pyannote[2249].speaker SPEAKER_32
transcript.pyannote[2249].start 11395.16159375
transcript.pyannote[2249].end 11397.72659375
transcript.pyannote[2250].speaker SPEAKER_32
transcript.pyannote[2250].start 11397.89534375
transcript.pyannote[2250].end 11398.65471875
transcript.pyannote[2251].speaker SPEAKER_32
transcript.pyannote[2251].start 11399.59971875
transcript.pyannote[2251].end 11400.29159375
transcript.pyannote[2252].speaker SPEAKER_32
transcript.pyannote[2252].start 11401.18596875
transcript.pyannote[2252].end 11402.06346875
transcript.pyannote[2253].speaker SPEAKER_32
transcript.pyannote[2253].start 11402.43471875
transcript.pyannote[2253].end 11404.25721875
transcript.pyannote[2254].speaker SPEAKER_32
transcript.pyannote[2254].start 11404.93221875
transcript.pyannote[2254].end 11406.56909375
transcript.pyannote[2255].speaker SPEAKER_32
transcript.pyannote[2255].start 11407.14284375
transcript.pyannote[2255].end 11409.52221875
transcript.pyannote[2256].speaker SPEAKER_32
transcript.pyannote[2256].start 11409.99471875
transcript.pyannote[2256].end 11411.24346875
transcript.pyannote[2257].speaker SPEAKER_32
transcript.pyannote[2257].start 11411.69909375
transcript.pyannote[2257].end 11412.62721875
transcript.pyannote[2258].speaker SPEAKER_32
transcript.pyannote[2258].start 11413.31909375
transcript.pyannote[2258].end 11414.93909375
transcript.pyannote[2259].speaker SPEAKER_32
transcript.pyannote[2259].start 11416.25534375
transcript.pyannote[2259].end 11418.16221875
transcript.pyannote[2260].speaker SPEAKER_32
transcript.pyannote[2260].start 11419.07346875
transcript.pyannote[2260].end 11422.48221875
transcript.pyannote[2261].speaker SPEAKER_32
transcript.pyannote[2261].start 11422.97159375
transcript.pyannote[2261].end 11425.03034375
transcript.pyannote[2262].speaker SPEAKER_32
transcript.pyannote[2262].start 11426.78534375
transcript.pyannote[2262].end 11429.51909375
transcript.pyannote[2263].speaker SPEAKER_32
transcript.pyannote[2263].start 11430.44721875
transcript.pyannote[2263].end 11432.74221875
transcript.pyannote[2264].speaker SPEAKER_32
transcript.pyannote[2264].start 11432.99534375
transcript.pyannote[2264].end 11434.64909375
transcript.pyannote[2265].speaker SPEAKER_32
transcript.pyannote[2265].start 11435.18909375
transcript.pyannote[2265].end 11437.33221875
transcript.pyannote[2266].speaker SPEAKER_32
transcript.pyannote[2266].start 11438.66534375
transcript.pyannote[2266].end 11439.27284375
transcript.pyannote[2267].speaker SPEAKER_32
transcript.pyannote[2267].start 11439.52596875
transcript.pyannote[2267].end 11441.31471875
transcript.pyannote[2268].speaker SPEAKER_32
transcript.pyannote[2268].start 11442.86721875
transcript.pyannote[2268].end 11444.03159375
transcript.pyannote[2269].speaker SPEAKER_32
transcript.pyannote[2269].start 11444.57159375
transcript.pyannote[2269].end 11446.09034375
transcript.pyannote[2270].speaker SPEAKER_32
transcript.pyannote[2270].start 11446.69784375
transcript.pyannote[2270].end 11447.91284375
transcript.pyannote[2271].speaker SPEAKER_32
transcript.pyannote[2271].start 11448.01409375
transcript.pyannote[2271].end 11452.87409375
transcript.pyannote[2272].speaker SPEAKER_32
transcript.pyannote[2272].start 11453.41409375
transcript.pyannote[2272].end 11455.94534375
transcript.pyannote[2273].speaker SPEAKER_32
transcript.pyannote[2273].start 11456.43471875
transcript.pyannote[2273].end 11457.83534375
transcript.pyannote[2274].speaker SPEAKER_32
transcript.pyannote[2274].start 11458.45971875
transcript.pyannote[2274].end 11461.88534375
transcript.pyannote[2275].speaker SPEAKER_32
transcript.pyannote[2275].start 11462.42534375
transcript.pyannote[2275].end 11463.85971875
transcript.pyannote[2276].speaker SPEAKER_32
transcript.pyannote[2276].start 11464.85534375
transcript.pyannote[2276].end 11466.05346875
transcript.pyannote[2277].speaker SPEAKER_32
transcript.pyannote[2277].start 11466.32346875
transcript.pyannote[2277].end 11468.33159375
transcript.pyannote[2278].speaker SPEAKER_20
transcript.pyannote[2278].start 11467.97721875
transcript.pyannote[2278].end 11468.66909375
transcript.pyannote[2279].speaker SPEAKER_32
transcript.pyannote[2279].start 11468.66909375
transcript.pyannote[2279].end 11472.44909375
transcript.pyannote[2280].speaker SPEAKER_32
transcript.pyannote[2280].start 11473.19159375
transcript.pyannote[2280].end 11475.73971875
transcript.pyannote[2281].speaker SPEAKER_32
transcript.pyannote[2281].start 11475.92534375
transcript.pyannote[2281].end 11478.38909375
transcript.pyannote[2282].speaker SPEAKER_32
transcript.pyannote[2282].start 11478.55784375
transcript.pyannote[2282].end 11485.62846875
transcript.pyannote[2283].speaker SPEAKER_32
transcript.pyannote[2283].start 11486.08409375
transcript.pyannote[2283].end 11488.51409375
transcript.pyannote[2284].speaker SPEAKER_32
transcript.pyannote[2284].start 11488.96971875
transcript.pyannote[2284].end 11492.27721875
transcript.pyannote[2285].speaker SPEAKER_32
transcript.pyannote[2285].start 11492.51346875
transcript.pyannote[2285].end 11494.50471875
transcript.pyannote[2286].speaker SPEAKER_32
transcript.pyannote[2286].start 11495.14596875
transcript.pyannote[2286].end 11496.49596875
transcript.pyannote[2287].speaker SPEAKER_15
transcript.pyannote[2287].start 11497.64346875
transcript.pyannote[2287].end 11501.23784375
transcript.pyannote[2288].speaker SPEAKER_15
transcript.pyannote[2288].start 11501.49096875
transcript.pyannote[2288].end 11503.92096875
transcript.pyannote[2289].speaker SPEAKER_32
transcript.pyannote[2289].start 11503.85346875
transcript.pyannote[2289].end 11505.54096875
transcript.pyannote[2290].speaker SPEAKER_32
transcript.pyannote[2290].start 11505.99659375
transcript.pyannote[2290].end 11507.24534375
transcript.pyannote[2291].speaker SPEAKER_15
transcript.pyannote[2291].start 11506.06409375
transcript.pyannote[2291].end 11507.56596875
transcript.pyannote[2292].speaker SPEAKER_32
transcript.pyannote[2292].start 11507.56596875
transcript.pyannote[2292].end 11507.58284375
transcript.pyannote[2293].speaker SPEAKER_32
transcript.pyannote[2293].start 11508.07221875
transcript.pyannote[2293].end 11515.34534375
transcript.pyannote[2294].speaker SPEAKER_32
transcript.pyannote[2294].start 11515.76721875
transcript.pyannote[2294].end 11516.79659375
transcript.pyannote[2295].speaker SPEAKER_21
transcript.pyannote[2295].start 11516.79659375
transcript.pyannote[2295].end 11517.25221875
transcript.pyannote[2296].speaker SPEAKER_21
transcript.pyannote[2296].start 11517.91034375
transcript.pyannote[2296].end 11520.23909375
transcript.pyannote[2297].speaker SPEAKER_21
transcript.pyannote[2297].start 11522.46659375
transcript.pyannote[2297].end 11523.15846875
transcript.pyannote[2298].speaker SPEAKER_21
transcript.pyannote[2298].start 11523.39471875
transcript.pyannote[2298].end 11523.54659375
transcript.pyannote[2299].speaker SPEAKER_21
transcript.pyannote[2299].start 11523.68159375
transcript.pyannote[2299].end 11524.84596875
transcript.pyannote[2300].speaker SPEAKER_21
transcript.pyannote[2300].start 11527.14096875
transcript.pyannote[2300].end 11529.52034375
transcript.pyannote[2301].speaker SPEAKER_21
transcript.pyannote[2301].start 11536.91159375
transcript.pyannote[2301].end 11543.18909375
transcript.pyannote[2302].speaker SPEAKER_24
transcript.pyannote[2302].start 11548.79159375
transcript.pyannote[2302].end 11549.28096875
transcript.pyannote[2303].speaker SPEAKER_24
transcript.pyannote[2303].start 11549.97284375
transcript.pyannote[2303].end 11550.61409375
transcript.pyannote[2304].speaker SPEAKER_24
transcript.pyannote[2304].start 11551.25534375
transcript.pyannote[2304].end 11558.69721875
transcript.pyannote[2305].speaker SPEAKER_27
transcript.pyannote[2305].start 11561.90346875
transcript.pyannote[2305].end 11562.71346875
transcript.pyannote[2306].speaker SPEAKER_27
transcript.pyannote[2306].start 11563.32096875
transcript.pyannote[2306].end 11563.33784375
transcript.pyannote[2307].speaker SPEAKER_24
transcript.pyannote[2307].start 11563.33784375
transcript.pyannote[2307].end 11565.00846875
transcript.pyannote[2308].speaker SPEAKER_27
transcript.pyannote[2308].start 11563.38846875
transcript.pyannote[2308].end 11564.46846875
transcript.pyannote[2309].speaker SPEAKER_24
transcript.pyannote[2309].start 11565.16034375
transcript.pyannote[2309].end 11570.27346875
transcript.pyannote[2310].speaker SPEAKER_27
transcript.pyannote[2310].start 11571.37034375
transcript.pyannote[2310].end 11572.02846875
transcript.pyannote[2311].speaker SPEAKER_24
transcript.pyannote[2311].start 11572.02846875
transcript.pyannote[2311].end 11573.53034375
transcript.pyannote[2312].speaker SPEAKER_24
transcript.pyannote[2312].start 11574.12096875
transcript.pyannote[2312].end 11575.94346875
transcript.pyannote[2313].speaker SPEAKER_24
transcript.pyannote[2313].start 11576.34846875
transcript.pyannote[2313].end 11582.32221875
transcript.pyannote[2314].speaker SPEAKER_27
transcript.pyannote[2314].start 11583.16596875
transcript.pyannote[2314].end 11586.65909375
transcript.pyannote[2315].speaker SPEAKER_27
transcript.pyannote[2315].start 11587.03034375
transcript.pyannote[2315].end 11594.01659375
transcript.pyannote[2316].speaker SPEAKER_24
transcript.pyannote[2316].start 11592.44721875
transcript.pyannote[2316].end 11592.75096875
transcript.pyannote[2317].speaker SPEAKER_24
transcript.pyannote[2317].start 11594.43846875
transcript.pyannote[2317].end 11594.75909375
transcript.pyannote[2318].speaker SPEAKER_24
transcript.pyannote[2318].start 11594.96159375
transcript.pyannote[2318].end 11602.18409375
transcript.pyannote[2319].speaker SPEAKER_24
transcript.pyannote[2319].start 11602.42034375
transcript.pyannote[2319].end 11604.51284375
transcript.pyannote[2320].speaker SPEAKER_27
transcript.pyannote[2320].start 11610.90846875
transcript.pyannote[2320].end 11610.94221875
transcript.pyannote[2321].speaker SPEAKER_24
transcript.pyannote[2321].start 11610.94221875
transcript.pyannote[2321].end 11610.97596875
transcript.pyannote[2322].speaker SPEAKER_27
transcript.pyannote[2322].start 11610.97596875
transcript.pyannote[2322].end 11611.87034375
transcript.pyannote[2323].speaker SPEAKER_24
transcript.pyannote[2323].start 11611.87034375
transcript.pyannote[2323].end 11611.95471875
transcript.pyannote[2324].speaker SPEAKER_27
transcript.pyannote[2324].start 11611.95471875
transcript.pyannote[2324].end 11612.03909375
transcript.pyannote[2325].speaker SPEAKER_24
transcript.pyannote[2325].start 11612.03909375
transcript.pyannote[2325].end 11612.93346875
transcript.pyannote[2326].speaker SPEAKER_24
transcript.pyannote[2326].start 11613.79409375
transcript.pyannote[2326].end 11624.67846875
transcript.pyannote[2327].speaker SPEAKER_24
transcript.pyannote[2327].start 11625.03284375
transcript.pyannote[2327].end 11627.58096875
transcript.pyannote[2328].speaker SPEAKER_24
transcript.pyannote[2328].start 11628.20534375
transcript.pyannote[2328].end 11628.99846875
transcript.pyannote[2329].speaker SPEAKER_27
transcript.pyannote[2329].start 11629.13346875
transcript.pyannote[2329].end 11632.27221875
transcript.pyannote[2330].speaker SPEAKER_27
transcript.pyannote[2330].start 11632.55909375
transcript.pyannote[2330].end 11640.05159375
transcript.pyannote[2331].speaker SPEAKER_24
transcript.pyannote[2331].start 11637.01409375
transcript.pyannote[2331].end 11637.43596875
transcript.pyannote[2332].speaker SPEAKER_27
transcript.pyannote[2332].start 11640.15284375
transcript.pyannote[2332].end 11646.39659375
transcript.pyannote[2333].speaker SPEAKER_24
transcript.pyannote[2333].start 11644.74284375
transcript.pyannote[2333].end 11645.14784375
transcript.pyannote[2334].speaker SPEAKER_27
transcript.pyannote[2334].start 11646.70034375
transcript.pyannote[2334].end 11660.43659375
transcript.pyannote[2335].speaker SPEAKER_24
transcript.pyannote[2335].start 11647.27409375
transcript.pyannote[2335].end 11648.82659375
transcript.pyannote[2336].speaker SPEAKER_24
transcript.pyannote[2336].start 11650.49721875
transcript.pyannote[2336].end 11650.73346875
transcript.pyannote[2337].speaker SPEAKER_24
transcript.pyannote[2337].start 11660.95971875
transcript.pyannote[2337].end 11661.29721875
transcript.pyannote[2338].speaker SPEAKER_24
transcript.pyannote[2338].start 11661.80346875
transcript.pyannote[2338].end 11670.29159375
transcript.pyannote[2339].speaker SPEAKER_24
transcript.pyannote[2339].start 11670.78096875
transcript.pyannote[2339].end 11672.58659375
transcript.pyannote[2340].speaker SPEAKER_27
transcript.pyannote[2340].start 11672.58659375
transcript.pyannote[2340].end 11674.39221875
transcript.pyannote[2341].speaker SPEAKER_24
transcript.pyannote[2341].start 11674.39221875
transcript.pyannote[2341].end 11675.01659375
transcript.pyannote[2342].speaker SPEAKER_24
transcript.pyannote[2342].start 11675.50596875
transcript.pyannote[2342].end 11681.58096875
transcript.pyannote[2343].speaker SPEAKER_24
transcript.pyannote[2343].start 11682.30659375
transcript.pyannote[2343].end 11682.81284375
transcript.pyannote[2344].speaker SPEAKER_24
transcript.pyannote[2344].start 11683.67346875
transcript.pyannote[2344].end 11685.37784375
transcript.pyannote[2345].speaker SPEAKER_27
transcript.pyannote[2345].start 11685.27659375
transcript.pyannote[2345].end 11687.60534375
transcript.pyannote[2346].speaker SPEAKER_24
transcript.pyannote[2346].start 11688.55034375
transcript.pyannote[2346].end 11692.90409375
transcript.pyannote[2347].speaker SPEAKER_24
transcript.pyannote[2347].start 11693.41034375
transcript.pyannote[2347].end 11694.87846875
transcript.pyannote[2348].speaker SPEAKER_27
transcript.pyannote[2348].start 11694.54096875
transcript.pyannote[2348].end 11694.60846875
transcript.pyannote[2349].speaker SPEAKER_24
transcript.pyannote[2349].start 11694.97971875
transcript.pyannote[2349].end 11699.11409375
transcript.pyannote[2350].speaker SPEAKER_24
transcript.pyannote[2350].start 11699.70471875
transcript.pyannote[2350].end 11720.27534375
transcript.pyannote[2351].speaker SPEAKER_27
transcript.pyannote[2351].start 11720.42721875
transcript.pyannote[2351].end 11721.81096875
transcript.pyannote[2352].speaker SPEAKER_24
transcript.pyannote[2352].start 11721.81096875
transcript.pyannote[2352].end 11722.40159375
transcript.pyannote[2353].speaker SPEAKER_24
transcript.pyannote[2353].start 11722.75596875
transcript.pyannote[2353].end 11728.64534375
transcript.pyannote[2354].speaker SPEAKER_24
transcript.pyannote[2354].start 11729.23596875
transcript.pyannote[2354].end 11729.75909375
transcript.pyannote[2355].speaker SPEAKER_24
transcript.pyannote[2355].start 11730.53534375
transcript.pyannote[2355].end 11731.29471875
transcript.pyannote[2356].speaker SPEAKER_24
transcript.pyannote[2356].start 11731.80096875
transcript.pyannote[2356].end 11733.77534375
transcript.pyannote[2357].speaker SPEAKER_24
transcript.pyannote[2357].start 11734.01159375
transcript.pyannote[2357].end 11735.02409375
transcript.pyannote[2358].speaker SPEAKER_27
transcript.pyannote[2358].start 11734.24784375
transcript.pyannote[2358].end 11734.92284375
transcript.pyannote[2359].speaker SPEAKER_27
transcript.pyannote[2359].start 11735.36159375
transcript.pyannote[2359].end 11735.37846875
transcript.pyannote[2360].speaker SPEAKER_24
transcript.pyannote[2360].start 11735.37846875
transcript.pyannote[2360].end 11735.58096875
transcript.pyannote[2361].speaker SPEAKER_27
transcript.pyannote[2361].start 11735.58096875
transcript.pyannote[2361].end 11739.02346875
transcript.pyannote[2362].speaker SPEAKER_24
transcript.pyannote[2362].start 11739.02346875
transcript.pyannote[2362].end 11739.20909375
transcript.pyannote[2363].speaker SPEAKER_27
transcript.pyannote[2363].start 11739.20909375
transcript.pyannote[2363].end 11739.22596875
transcript.pyannote[2364].speaker SPEAKER_24
transcript.pyannote[2364].start 11739.44534375
transcript.pyannote[2364].end 11742.46596875
transcript.pyannote[2365].speaker SPEAKER_27
transcript.pyannote[2365].start 11742.78659375
transcript.pyannote[2365].end 11744.17034375
transcript.pyannote[2366].speaker SPEAKER_24
transcript.pyannote[2366].start 11744.17034375
transcript.pyannote[2366].end 11744.33909375
transcript.pyannote[2367].speaker SPEAKER_27
transcript.pyannote[2367].start 11744.33909375
transcript.pyannote[2367].end 11744.35596875
transcript.pyannote[2368].speaker SPEAKER_24
transcript.pyannote[2368].start 11744.35596875
transcript.pyannote[2368].end 11744.37284375
transcript.pyannote[2369].speaker SPEAKER_24
transcript.pyannote[2369].start 11744.92971875
transcript.pyannote[2369].end 11746.26284375
transcript.pyannote[2370].speaker SPEAKER_27
transcript.pyannote[2370].start 11746.61721875
transcript.pyannote[2370].end 11747.69721875
transcript.pyannote[2371].speaker SPEAKER_24
transcript.pyannote[2371].start 11747.25846875
transcript.pyannote[2371].end 11751.83159375
transcript.pyannote[2372].speaker SPEAKER_27
transcript.pyannote[2372].start 11751.29159375
transcript.pyannote[2372].end 11761.23096875
transcript.pyannote[2373].speaker SPEAKER_24
transcript.pyannote[2373].start 11753.02971875
transcript.pyannote[2373].end 11753.16471875
transcript.pyannote[2374].speaker SPEAKER_24
transcript.pyannote[2374].start 11753.73846875
transcript.pyannote[2374].end 11754.34596875
transcript.pyannote[2375].speaker SPEAKER_24
transcript.pyannote[2375].start 11756.80971875
transcript.pyannote[2375].end 11757.16409375
transcript.pyannote[2376].speaker SPEAKER_24
transcript.pyannote[2376].start 11759.79659375
transcript.pyannote[2376].end 11760.21846875
transcript.pyannote[2377].speaker SPEAKER_24
transcript.pyannote[2377].start 11760.85971875
transcript.pyannote[2377].end 11762.85096875
transcript.pyannote[2378].speaker SPEAKER_27
transcript.pyannote[2378].start 11762.49659375
transcript.pyannote[2378].end 11762.95221875
transcript.pyannote[2379].speaker SPEAKER_24
transcript.pyannote[2379].start 11763.81284375
transcript.pyannote[2379].end 11766.05721875
transcript.pyannote[2380].speaker SPEAKER_27
transcript.pyannote[2380].start 11763.98159375
transcript.pyannote[2380].end 11768.45346875
transcript.pyannote[2381].speaker SPEAKER_24
transcript.pyannote[2381].start 11769.31409375
transcript.pyannote[2381].end 11807.87346875
transcript.pyannote[2382].speaker SPEAKER_27
transcript.pyannote[2382].start 11769.58409375
transcript.pyannote[2382].end 11771.49096875
transcript.pyannote[2383].speaker SPEAKER_29
transcript.pyannote[2383].start 11774.54534375
transcript.pyannote[2383].end 11775.08534375
transcript.pyannote[2384].speaker SPEAKER_24
transcript.pyannote[2384].start 11808.14346875
transcript.pyannote[2384].end 11808.70034375
transcript.pyannote[2385].speaker SPEAKER_27
transcript.pyannote[2385].start 11808.80159375
transcript.pyannote[2385].end 11817.27284375
transcript.pyannote[2386].speaker SPEAKER_24
transcript.pyannote[2386].start 11814.13409375
transcript.pyannote[2386].end 11814.62346875
transcript.pyannote[2387].speaker SPEAKER_27
transcript.pyannote[2387].start 11817.52596875
transcript.pyannote[2387].end 11820.14159375
transcript.pyannote[2388].speaker SPEAKER_24
transcript.pyannote[2388].start 11817.54284375
transcript.pyannote[2388].end 11817.98159375
transcript.pyannote[2389].speaker SPEAKER_24
transcript.pyannote[2389].start 11819.36534375
transcript.pyannote[2389].end 11827.04346875
transcript.pyannote[2390].speaker SPEAKER_20
transcript.pyannote[2390].start 11826.35159375
transcript.pyannote[2390].end 11827.49909375
transcript.pyannote[2391].speaker SPEAKER_24
transcript.pyannote[2391].start 11827.48221875
transcript.pyannote[2391].end 11835.70034375
transcript.pyannote[2392].speaker SPEAKER_21
transcript.pyannote[2392].start 11835.59909375
transcript.pyannote[2392].end 11838.88971875
transcript.pyannote[2393].speaker SPEAKER_24
transcript.pyannote[2393].start 11835.95346875
transcript.pyannote[2393].end 11836.44284375
transcript.pyannote[2394].speaker SPEAKER_21
transcript.pyannote[2394].start 11841.23534375
transcript.pyannote[2394].end 11843.04096875
transcript.pyannote[2395].speaker SPEAKER_21
transcript.pyannote[2395].start 11853.79034375
transcript.pyannote[2395].end 11854.80284375
transcript.pyannote[2396].speaker SPEAKER_21
transcript.pyannote[2396].start 11855.25846875
transcript.pyannote[2396].end 11856.64221875
transcript.pyannote[2397].speaker SPEAKER_21
transcript.pyannote[2397].start 11856.89534375
transcript.pyannote[2397].end 11858.14409375
transcript.pyannote[2398].speaker SPEAKER_04
transcript.pyannote[2398].start 11865.60284375
transcript.pyannote[2398].end 11866.00784375
transcript.pyannote[2399].speaker SPEAKER_04
transcript.pyannote[2399].start 11866.63221875
transcript.pyannote[2399].end 11866.95284375
transcript.pyannote[2400].speaker SPEAKER_04
transcript.pyannote[2400].start 11867.94846875
transcript.pyannote[2400].end 11871.76221875
transcript.pyannote[2401].speaker SPEAKER_04
transcript.pyannote[2401].start 11872.31909375
transcript.pyannote[2401].end 11875.49159375
transcript.pyannote[2402].speaker SPEAKER_04
transcript.pyannote[2402].start 11876.60534375
transcript.pyannote[2402].end 11877.71909375
transcript.pyannote[2403].speaker SPEAKER_04
transcript.pyannote[2403].start 11878.68096875
transcript.pyannote[2403].end 11878.98471875
transcript.pyannote[2404].speaker SPEAKER_04
transcript.pyannote[2404].start 11879.62596875
transcript.pyannote[2404].end 11880.41909375
transcript.pyannote[2405].speaker SPEAKER_04
transcript.pyannote[2405].start 11881.11096875
transcript.pyannote[2405].end 11882.88284375
transcript.pyannote[2406].speaker SPEAKER_04
transcript.pyannote[2406].start 11883.45659375
transcript.pyannote[2406].end 11884.80659375
transcript.pyannote[2407].speaker SPEAKER_04
transcript.pyannote[2407].start 11887.40534375
transcript.pyannote[2407].end 11889.16034375
transcript.pyannote[2408].speaker SPEAKER_04
transcript.pyannote[2408].start 11890.22346875
transcript.pyannote[2408].end 11891.05034375
transcript.pyannote[2409].speaker SPEAKER_15
transcript.pyannote[2409].start 11890.32471875
transcript.pyannote[2409].end 11892.72096875
transcript.pyannote[2410].speaker SPEAKER_15
transcript.pyannote[2410].start 11893.10909375
transcript.pyannote[2410].end 11893.15971875
transcript.pyannote[2411].speaker SPEAKER_04
transcript.pyannote[2411].start 11893.15971875
transcript.pyannote[2411].end 11894.98221875
transcript.pyannote[2412].speaker SPEAKER_04
transcript.pyannote[2412].start 11896.56846875
transcript.pyannote[2412].end 11896.87221875
transcript.pyannote[2413].speaker SPEAKER_15
transcript.pyannote[2413].start 11896.95659375
transcript.pyannote[2413].end 11899.50471875
transcript.pyannote[2414].speaker SPEAKER_04
transcript.pyannote[2414].start 11898.42471875
transcript.pyannote[2414].end 11901.32721875
transcript.pyannote[2415].speaker SPEAKER_04
transcript.pyannote[2415].start 11901.52971875
transcript.pyannote[2415].end 11901.54659375
transcript.pyannote[2416].speaker SPEAKER_27
transcript.pyannote[2416].start 11901.54659375
transcript.pyannote[2416].end 11901.66471875
transcript.pyannote[2417].speaker SPEAKER_04
transcript.pyannote[2417].start 11901.66471875
transcript.pyannote[2417].end 11903.35221875
transcript.pyannote[2418].speaker SPEAKER_04
transcript.pyannote[2418].start 11904.53346875
transcript.pyannote[2418].end 11906.44034375
transcript.pyannote[2419].speaker SPEAKER_04
transcript.pyannote[2419].start 11907.65534375
transcript.pyannote[2419].end 11909.02221875
transcript.pyannote[2420].speaker SPEAKER_04
transcript.pyannote[2420].start 11911.87409375
transcript.pyannote[2420].end 11912.44784375
transcript.pyannote[2421].speaker SPEAKER_04
transcript.pyannote[2421].start 11913.22409375
transcript.pyannote[2421].end 11914.08471875
transcript.pyannote[2422].speaker SPEAKER_15
transcript.pyannote[2422].start 11914.08471875
transcript.pyannote[2422].end 11914.13534375
transcript.pyannote[2423].speaker SPEAKER_04
transcript.pyannote[2423].start 11914.13534375
transcript.pyannote[2423].end 11914.62471875
transcript.pyannote[2424].speaker SPEAKER_15
transcript.pyannote[2424].start 11914.62471875
transcript.pyannote[2424].end 11914.67534375
transcript.pyannote[2425].speaker SPEAKER_04
transcript.pyannote[2425].start 11915.31659375
transcript.pyannote[2425].end 11915.33346875
transcript.pyannote[2426].speaker SPEAKER_15
transcript.pyannote[2426].start 11915.33346875
transcript.pyannote[2426].end 11916.16034375
transcript.pyannote[2427].speaker SPEAKER_04
transcript.pyannote[2427].start 11915.50221875
transcript.pyannote[2427].end 11917.45971875
transcript.pyannote[2428].speaker SPEAKER_15
transcript.pyannote[2428].start 11916.36284375
transcript.pyannote[2428].end 11922.16784375
transcript.pyannote[2429].speaker SPEAKER_15
transcript.pyannote[2429].start 11923.11284375
transcript.pyannote[2429].end 11924.74971875
transcript.pyannote[2430].speaker SPEAKER_04
transcript.pyannote[2430].start 11924.74971875
transcript.pyannote[2430].end 11924.76659375
transcript.pyannote[2431].speaker SPEAKER_15
transcript.pyannote[2431].start 11924.98596875
transcript.pyannote[2431].end 11926.97721875
transcript.pyannote[2432].speaker SPEAKER_15
transcript.pyannote[2432].start 11927.39909375
transcript.pyannote[2432].end 11927.48346875
transcript.pyannote[2433].speaker SPEAKER_04
transcript.pyannote[2433].start 11927.48346875
transcript.pyannote[2433].end 11927.50034375
transcript.pyannote[2434].speaker SPEAKER_15
transcript.pyannote[2434].start 11927.50034375
transcript.pyannote[2434].end 11931.68534375
transcript.pyannote[2435].speaker SPEAKER_04
transcript.pyannote[2435].start 11927.70284375
transcript.pyannote[2435].end 11929.20471875
transcript.pyannote[2436].speaker SPEAKER_15
transcript.pyannote[2436].start 11931.97221875
transcript.pyannote[2436].end 11934.26721875
transcript.pyannote[2437].speaker SPEAKER_15
transcript.pyannote[2437].start 11934.62159375
transcript.pyannote[2437].end 11940.24096875
transcript.pyannote[2438].speaker SPEAKER_28
transcript.pyannote[2438].start 11940.24096875
transcript.pyannote[2438].end 11940.29159375
transcript.pyannote[2439].speaker SPEAKER_20
transcript.pyannote[2439].start 11940.29159375
transcript.pyannote[2439].end 11941.00034375
transcript.pyannote[2440].speaker SPEAKER_15
transcript.pyannote[2440].start 11941.00034375
transcript.pyannote[2440].end 11943.07596875
transcript.pyannote[2441].speaker SPEAKER_04
transcript.pyannote[2441].start 11941.00034375
transcript.pyannote[2441].end 11943.12659375
transcript.pyannote[2442].speaker SPEAKER_15
transcript.pyannote[2442].start 11943.12659375
transcript.pyannote[2442].end 11943.14346875
transcript.pyannote[2443].speaker SPEAKER_15
transcript.pyannote[2443].start 11943.34596875
transcript.pyannote[2443].end 11943.44721875
transcript.pyannote[2444].speaker SPEAKER_04
transcript.pyannote[2444].start 11943.44721875
transcript.pyannote[2444].end 11948.98221875
transcript.pyannote[2445].speaker SPEAKER_04
transcript.pyannote[2445].start 11949.58971875
transcript.pyannote[2445].end 11957.84159375
transcript.pyannote[2446].speaker SPEAKER_15
transcript.pyannote[2446].start 11955.22596875
transcript.pyannote[2446].end 11968.55721875
transcript.pyannote[2447].speaker SPEAKER_15
transcript.pyannote[2447].start 11968.96221875
transcript.pyannote[2447].end 11971.24034375
transcript.pyannote[2448].speaker SPEAKER_15
transcript.pyannote[2448].start 11971.86471875
transcript.pyannote[2448].end 11974.71659375
transcript.pyannote[2449].speaker SPEAKER_15
transcript.pyannote[2449].start 11974.76721875
transcript.pyannote[2449].end 11976.97784375
transcript.pyannote[2450].speaker SPEAKER_04
transcript.pyannote[2450].start 11976.87659375
transcript.pyannote[2450].end 11976.92721875
transcript.pyannote[2451].speaker SPEAKER_04
transcript.pyannote[2451].start 11976.97784375
transcript.pyannote[2451].end 11978.86784375
transcript.pyannote[2452].speaker SPEAKER_04
transcript.pyannote[2452].start 11979.10409375
transcript.pyannote[2452].end 12007.03221875
transcript.pyannote[2453].speaker SPEAKER_04
transcript.pyannote[2453].start 12007.52159375
transcript.pyannote[2453].end 12010.13721875
transcript.pyannote[2454].speaker SPEAKER_04
transcript.pyannote[2454].start 12010.44096875
transcript.pyannote[2454].end 12011.89221875
transcript.pyannote[2455].speaker SPEAKER_04
transcript.pyannote[2455].start 12012.60096875
transcript.pyannote[2455].end 12014.38971875
transcript.pyannote[2456].speaker SPEAKER_15
transcript.pyannote[2456].start 12012.65159375
transcript.pyannote[2456].end 12014.49096875
transcript.pyannote[2457].speaker SPEAKER_15
transcript.pyannote[2457].start 12014.84534375
transcript.pyannote[2457].end 12031.90596875
transcript.pyannote[2458].speaker SPEAKER_04
transcript.pyannote[2458].start 12031.09596875
transcript.pyannote[2458].end 12038.94284375
transcript.pyannote[2459].speaker SPEAKER_15
transcript.pyannote[2459].start 12032.31096875
transcript.pyannote[2459].end 12033.50909375
transcript.pyannote[2460].speaker SPEAKER_15
transcript.pyannote[2460].start 12039.09471875
transcript.pyannote[2460].end 12039.65159375
transcript.pyannote[2461].speaker SPEAKER_04
transcript.pyannote[2461].start 12039.65159375
transcript.pyannote[2461].end 12040.39409375
transcript.pyannote[2462].speaker SPEAKER_15
transcript.pyannote[2462].start 12040.39409375
transcript.pyannote[2462].end 12047.49846875
transcript.pyannote[2463].speaker SPEAKER_15
transcript.pyannote[2463].start 12047.88659375
transcript.pyannote[2463].end 12061.97721875
transcript.pyannote[2464].speaker SPEAKER_04
transcript.pyannote[2464].start 12058.58534375
transcript.pyannote[2464].end 12059.27721875
transcript.pyannote[2465].speaker SPEAKER_04
transcript.pyannote[2465].start 12061.97721875
transcript.pyannote[2465].end 12063.78284375
transcript.pyannote[2466].speaker SPEAKER_15
transcript.pyannote[2466].start 12062.36534375
transcript.pyannote[2466].end 12063.68159375
transcript.pyannote[2467].speaker SPEAKER_15
transcript.pyannote[2467].start 12063.78284375
transcript.pyannote[2467].end 12064.01909375
transcript.pyannote[2468].speaker SPEAKER_04
transcript.pyannote[2468].start 12064.01909375
transcript.pyannote[2468].end 12066.33096875
transcript.pyannote[2469].speaker SPEAKER_04
transcript.pyannote[2469].start 12066.83721875
transcript.pyannote[2469].end 12069.01409375
transcript.pyannote[2470].speaker SPEAKER_04
transcript.pyannote[2470].start 12070.49909375
transcript.pyannote[2470].end 12075.96659375
transcript.pyannote[2471].speaker SPEAKER_15
transcript.pyannote[2471].start 12075.96659375
transcript.pyannote[2471].end 12078.09284375
transcript.pyannote[2472].speaker SPEAKER_15
transcript.pyannote[2472].start 12078.97034375
transcript.pyannote[2472].end 12081.50159375
transcript.pyannote[2473].speaker SPEAKER_04
transcript.pyannote[2473].start 12082.56471875
transcript.pyannote[2473].end 12084.67409375
transcript.pyannote[2474].speaker SPEAKER_04
transcript.pyannote[2474].start 12084.87659375
transcript.pyannote[2474].end 12087.12096875
transcript.pyannote[2475].speaker SPEAKER_04
transcript.pyannote[2475].start 12087.30659375
transcript.pyannote[2475].end 12088.26846875
transcript.pyannote[2476].speaker SPEAKER_27
transcript.pyannote[2476].start 12088.26846875
transcript.pyannote[2476].end 12088.28534375
transcript.pyannote[2477].speaker SPEAKER_27
transcript.pyannote[2477].start 12089.01096875
transcript.pyannote[2477].end 12100.09784375
transcript.pyannote[2478].speaker SPEAKER_04
transcript.pyannote[2478].start 12092.67284375
transcript.pyannote[2478].end 12094.29284375
transcript.pyannote[2479].speaker SPEAKER_04
transcript.pyannote[2479].start 12099.76034375
transcript.pyannote[2479].end 12101.24534375
transcript.pyannote[2480].speaker SPEAKER_04
transcript.pyannote[2480].start 12101.73471875
transcript.pyannote[2480].end 12104.62034375
transcript.pyannote[2481].speaker SPEAKER_04
transcript.pyannote[2481].start 12104.92409375
transcript.pyannote[2481].end 12105.97034375
transcript.pyannote[2482].speaker SPEAKER_04
transcript.pyannote[2482].start 12106.30784375
transcript.pyannote[2482].end 12112.02846875
transcript.pyannote[2483].speaker SPEAKER_04
transcript.pyannote[2483].start 12112.19721875
transcript.pyannote[2483].end 12113.96909375
transcript.pyannote[2484].speaker SPEAKER_15
transcript.pyannote[2484].start 12113.96909375
transcript.pyannote[2484].end 12114.91409375
transcript.pyannote[2485].speaker SPEAKER_04
transcript.pyannote[2485].start 12114.91409375
transcript.pyannote[2485].end 12114.93096875
transcript.pyannote[2486].speaker SPEAKER_15
transcript.pyannote[2486].start 12115.11659375
transcript.pyannote[2486].end 12117.49596875
transcript.pyannote[2487].speaker SPEAKER_04
transcript.pyannote[2487].start 12115.31909375
transcript.pyannote[2487].end 12115.90971875
transcript.pyannote[2488].speaker SPEAKER_04
transcript.pyannote[2488].start 12116.01096875
transcript.pyannote[2488].end 12116.48346875
transcript.pyannote[2489].speaker SPEAKER_04
transcript.pyannote[2489].start 12117.04034375
transcript.pyannote[2489].end 12118.52534375
transcript.pyannote[2490].speaker SPEAKER_15
transcript.pyannote[2490].start 12118.52534375
transcript.pyannote[2490].end 12118.57596875
transcript.pyannote[2491].speaker SPEAKER_15
transcript.pyannote[2491].start 12119.13284375
transcript.pyannote[2491].end 12131.02971875
transcript.pyannote[2492].speaker SPEAKER_04
transcript.pyannote[2492].start 12128.83596875
transcript.pyannote[2492].end 12129.13971875
transcript.pyannote[2493].speaker SPEAKER_04
transcript.pyannote[2493].start 12131.02971875
transcript.pyannote[2493].end 12133.54409375
transcript.pyannote[2494].speaker SPEAKER_04
transcript.pyannote[2494].start 12133.57784375
transcript.pyannote[2494].end 12146.30159375
transcript.pyannote[2495].speaker SPEAKER_20
transcript.pyannote[2495].start 12143.65221875
transcript.pyannote[2495].end 12143.75346875
transcript.pyannote[2496].speaker SPEAKER_20
transcript.pyannote[2496].start 12145.72784375
transcript.pyannote[2496].end 12147.49971875
transcript.pyannote[2497].speaker SPEAKER_20
transcript.pyannote[2497].start 12147.65159375
transcript.pyannote[2497].end 12149.44034375
transcript.pyannote[2498].speaker SPEAKER_15
transcript.pyannote[2498].start 12148.25909375
transcript.pyannote[2498].end 12148.27596875
transcript.pyannote[2499].speaker SPEAKER_04
transcript.pyannote[2499].start 12148.27596875
transcript.pyannote[2499].end 12148.96784375
transcript.pyannote[2500].speaker SPEAKER_15
transcript.pyannote[2500].start 12148.96784375
transcript.pyannote[2500].end 12149.03534375
transcript.pyannote[2501].speaker SPEAKER_21
transcript.pyannote[2501].start 12149.03534375
transcript.pyannote[2501].end 12149.40659375
transcript.pyannote[2502].speaker SPEAKER_21
transcript.pyannote[2502].start 12149.44034375
transcript.pyannote[2502].end 12149.45721875
transcript.pyannote[2503].speaker SPEAKER_21
transcript.pyannote[2503].start 12149.64284375
transcript.pyannote[2503].end 12149.65971875
transcript.pyannote[2504].speaker SPEAKER_20
transcript.pyannote[2504].start 12149.65971875
transcript.pyannote[2504].end 12150.08159375
transcript.pyannote[2505].speaker SPEAKER_21
transcript.pyannote[2505].start 12150.08159375
transcript.pyannote[2505].end 12150.16596875
transcript.pyannote[2506].speaker SPEAKER_20
transcript.pyannote[2506].start 12150.16596875
transcript.pyannote[2506].end 12150.26721875
transcript.pyannote[2507].speaker SPEAKER_21
transcript.pyannote[2507].start 12150.26721875
transcript.pyannote[2507].end 12150.28409375
transcript.pyannote[2508].speaker SPEAKER_21
transcript.pyannote[2508].start 12151.38096875
transcript.pyannote[2508].end 12152.30909375
transcript.pyannote[2509].speaker SPEAKER_21
transcript.pyannote[2509].start 12152.42721875
transcript.pyannote[2509].end 12152.68034375
transcript.pyannote[2510].speaker SPEAKER_21
transcript.pyannote[2510].start 12155.12721875
transcript.pyannote[2510].end 12163.00784375
transcript.pyannote[2511].speaker SPEAKER_21
transcript.pyannote[2511].start 12164.15534375
transcript.pyannote[2511].end 12165.72471875
transcript.pyannote[2512].speaker SPEAKER_08
transcript.pyannote[2512].start 12170.51721875
transcript.pyannote[2512].end 12171.44534375
transcript.pyannote[2513].speaker SPEAKER_08
transcript.pyannote[2513].start 12171.88409375
transcript.pyannote[2513].end 12172.89659375
transcript.pyannote[2514].speaker SPEAKER_21
transcript.pyannote[2514].start 12173.84159375
transcript.pyannote[2514].end 12175.25909375
transcript.pyannote[2515].speaker SPEAKER_08
transcript.pyannote[2515].start 12175.36034375
transcript.pyannote[2515].end 12176.60909375
transcript.pyannote[2516].speaker SPEAKER_21
transcript.pyannote[2516].start 12177.21659375
transcript.pyannote[2516].end 12178.60034375
transcript.pyannote[2517].speaker SPEAKER_08
transcript.pyannote[2517].start 12178.98846875
transcript.pyannote[2517].end 12179.44409375
transcript.pyannote[2518].speaker SPEAKER_21
transcript.pyannote[2518].start 12182.22846875
transcript.pyannote[2518].end 12182.66721875
transcript.pyannote[2519].speaker SPEAKER_08
transcript.pyannote[2519].start 12182.26221875
transcript.pyannote[2519].end 12182.53221875
transcript.pyannote[2520].speaker SPEAKER_08
transcript.pyannote[2520].start 12183.00471875
transcript.pyannote[2520].end 12184.01721875
transcript.pyannote[2521].speaker SPEAKER_08
transcript.pyannote[2521].start 12184.60784375
transcript.pyannote[2521].end 12185.99159375
transcript.pyannote[2522].speaker SPEAKER_08
transcript.pyannote[2522].start 12186.46409375
transcript.pyannote[2522].end 12190.17659375
transcript.pyannote[2523].speaker SPEAKER_08
transcript.pyannote[2523].start 12190.61534375
transcript.pyannote[2523].end 12192.57284375
transcript.pyannote[2524].speaker SPEAKER_08
transcript.pyannote[2524].start 12192.91034375
transcript.pyannote[2524].end 12194.66534375
transcript.pyannote[2525].speaker SPEAKER_08
transcript.pyannote[2525].start 12194.95221875
transcript.pyannote[2525].end 12195.99846875
transcript.pyannote[2526].speaker SPEAKER_08
transcript.pyannote[2526].start 12196.75784375
transcript.pyannote[2526].end 12198.41159375
transcript.pyannote[2527].speaker SPEAKER_08
transcript.pyannote[2527].start 12198.81659375
transcript.pyannote[2527].end 12200.41971875
transcript.pyannote[2528].speaker SPEAKER_08
transcript.pyannote[2528].start 12200.67284375
transcript.pyannote[2528].end 12214.03784375
transcript.pyannote[2529].speaker SPEAKER_08
transcript.pyannote[2529].start 12214.51034375
transcript.pyannote[2529].end 12216.67034375
transcript.pyannote[2530].speaker SPEAKER_08
transcript.pyannote[2530].start 12217.15971875
transcript.pyannote[2530].end 12221.26034375
transcript.pyannote[2531].speaker SPEAKER_08
transcript.pyannote[2531].start 12221.49659375
transcript.pyannote[2531].end 12241.45971875
transcript.pyannote[2532].speaker SPEAKER_08
transcript.pyannote[2532].start 12242.16846875
transcript.pyannote[2532].end 12255.70221875
transcript.pyannote[2533].speaker SPEAKER_08
transcript.pyannote[2533].start 12255.92159375
transcript.pyannote[2533].end 12261.05159375
transcript.pyannote[2534].speaker SPEAKER_08
transcript.pyannote[2534].start 12261.16971875
transcript.pyannote[2534].end 12262.33409375
transcript.pyannote[2535].speaker SPEAKER_08
transcript.pyannote[2535].start 12262.57034375
transcript.pyannote[2535].end 12269.87721875
transcript.pyannote[2536].speaker SPEAKER_08
transcript.pyannote[2536].start 12270.26534375
transcript.pyannote[2536].end 12320.58659375
transcript.pyannote[2537].speaker SPEAKER_15
transcript.pyannote[2537].start 12320.67096875
transcript.pyannote[2537].end 12322.18971875
transcript.pyannote[2538].speaker SPEAKER_08
transcript.pyannote[2538].start 12322.18971875
transcript.pyannote[2538].end 12322.81409375
transcript.pyannote[2539].speaker SPEAKER_35
transcript.pyannote[2539].start 12323.67471875
transcript.pyannote[2539].end 12325.81784375
transcript.pyannote[2540].speaker SPEAKER_35
transcript.pyannote[2540].start 12325.93596875
transcript.pyannote[2540].end 12327.87659375
transcript.pyannote[2541].speaker SPEAKER_35
transcript.pyannote[2541].start 12328.48409375
transcript.pyannote[2541].end 12338.76096875
transcript.pyannote[2542].speaker SPEAKER_35
transcript.pyannote[2542].start 12338.84534375
transcript.pyannote[2542].end 12342.86159375
transcript.pyannote[2543].speaker SPEAKER_35
transcript.pyannote[2543].start 12343.03034375
transcript.pyannote[2543].end 12347.24909375
transcript.pyannote[2544].speaker SPEAKER_08
transcript.pyannote[2544].start 12346.87784375
transcript.pyannote[2544].end 12348.10971875
transcript.pyannote[2545].speaker SPEAKER_35
transcript.pyannote[2545].start 12348.10971875
transcript.pyannote[2545].end 12354.70784375
transcript.pyannote[2546].speaker SPEAKER_08
transcript.pyannote[2546].start 12354.70784375
transcript.pyannote[2546].end 12356.10846875
transcript.pyannote[2547].speaker SPEAKER_35
transcript.pyannote[2547].start 12355.18034375
transcript.pyannote[2547].end 12357.18846875
transcript.pyannote[2548].speaker SPEAKER_35
transcript.pyannote[2548].start 12357.54284375
transcript.pyannote[2548].end 12360.41159375
transcript.pyannote[2549].speaker SPEAKER_29
transcript.pyannote[2549].start 12360.54659375
transcript.pyannote[2549].end 12360.95159375
transcript.pyannote[2550].speaker SPEAKER_29
transcript.pyannote[2550].start 12360.96846875
transcript.pyannote[2550].end 12360.98534375
transcript.pyannote[2551].speaker SPEAKER_35
transcript.pyannote[2551].start 12361.03596875
transcript.pyannote[2551].end 12373.05096875
transcript.pyannote[2552].speaker SPEAKER_08
transcript.pyannote[2552].start 12372.88221875
transcript.pyannote[2552].end 12379.81784375
transcript.pyannote[2553].speaker SPEAKER_08
transcript.pyannote[2553].start 12380.10471875
transcript.pyannote[2553].end 12383.10846875
transcript.pyannote[2554].speaker SPEAKER_29
transcript.pyannote[2554].start 12383.31096875
transcript.pyannote[2554].end 12383.34471875
transcript.pyannote[2555].speaker SPEAKER_08
transcript.pyannote[2555].start 12383.53034375
transcript.pyannote[2555].end 12398.70096875
transcript.pyannote[2556].speaker SPEAKER_08
transcript.pyannote[2556].start 12399.13971875
transcript.pyannote[2556].end 12402.21096875
transcript.pyannote[2557].speaker SPEAKER_08
transcript.pyannote[2557].start 12402.51471875
transcript.pyannote[2557].end 12404.57346875
transcript.pyannote[2558].speaker SPEAKER_08
transcript.pyannote[2558].start 12405.24846875
transcript.pyannote[2558].end 12431.47221875
transcript.pyannote[2559].speaker SPEAKER_03
transcript.pyannote[2559].start 12432.28221875
transcript.pyannote[2559].end 12453.67971875
transcript.pyannote[2560].speaker SPEAKER_00
transcript.pyannote[2560].start 12442.91346875
transcript.pyannote[2560].end 12442.93034375
transcript.pyannote[2561].speaker SPEAKER_22
transcript.pyannote[2561].start 12442.93034375
transcript.pyannote[2561].end 12443.03159375
transcript.pyannote[2562].speaker SPEAKER_17
transcript.pyannote[2562].start 12443.03159375
transcript.pyannote[2562].end 12443.08221875
transcript.pyannote[2563].speaker SPEAKER_22
transcript.pyannote[2563].start 12443.08221875
transcript.pyannote[2563].end 12443.18346875
transcript.pyannote[2564].speaker SPEAKER_00
transcript.pyannote[2564].start 12443.18346875
transcript.pyannote[2564].end 12443.20034375
transcript.pyannote[2565].speaker SPEAKER_01
transcript.pyannote[2565].start 12448.93784375
transcript.pyannote[2565].end 12448.97159375
transcript.pyannote[2566].speaker SPEAKER_08
transcript.pyannote[2566].start 12448.97159375
transcript.pyannote[2566].end 12449.39346875
transcript.pyannote[2567].speaker SPEAKER_08
transcript.pyannote[2567].start 12451.72221875
transcript.pyannote[2567].end 12452.75159375
transcript.pyannote[2568].speaker SPEAKER_08
transcript.pyannote[2568].start 12453.12284375
transcript.pyannote[2568].end 12464.96909375
transcript.pyannote[2569].speaker SPEAKER_09
transcript.pyannote[2569].start 12464.88471875
transcript.pyannote[2569].end 12465.35721875
transcript.pyannote[2570].speaker SPEAKER_08
transcript.pyannote[2570].start 12465.23909375
transcript.pyannote[2570].end 12488.91471875
transcript.pyannote[2571].speaker SPEAKER_29
transcript.pyannote[2571].start 12489.13409375
transcript.pyannote[2571].end 12489.55596875
transcript.pyannote[2572].speaker SPEAKER_08
transcript.pyannote[2572].start 12489.37034375
transcript.pyannote[2572].end 12516.30284375
transcript.pyannote[2573].speaker SPEAKER_29
transcript.pyannote[2573].start 12516.30284375
transcript.pyannote[2573].end 12516.70784375
transcript.pyannote[2574].speaker SPEAKER_08
transcript.pyannote[2574].start 12516.55596875
transcript.pyannote[2574].end 12549.93471875
transcript.pyannote[2575].speaker SPEAKER_09
transcript.pyannote[2575].start 12546.88034375
transcript.pyannote[2575].end 12547.15034375
transcript.pyannote[2576].speaker SPEAKER_08
transcript.pyannote[2576].start 12550.20471875
transcript.pyannote[2576].end 12574.11659375
transcript.pyannote[2577].speaker SPEAKER_19
transcript.pyannote[2577].start 12564.53159375
transcript.pyannote[2577].end 12564.54846875
transcript.pyannote[2578].speaker SPEAKER_29
transcript.pyannote[2578].start 12564.54846875
transcript.pyannote[2578].end 12565.10534375
transcript.pyannote[2579].speaker SPEAKER_19
transcript.pyannote[2579].start 12565.10534375
transcript.pyannote[2579].end 12565.17284375
transcript.pyannote[2580].speaker SPEAKER_19
transcript.pyannote[2580].start 12565.91534375
transcript.pyannote[2580].end 12565.98284375
transcript.pyannote[2581].speaker SPEAKER_19
transcript.pyannote[2581].start 12567.55221875
transcript.pyannote[2581].end 12567.73784375
transcript.pyannote[2582].speaker SPEAKER_29
transcript.pyannote[2582].start 12567.73784375
transcript.pyannote[2582].end 12567.78846875
transcript.pyannote[2583].speaker SPEAKER_19
transcript.pyannote[2583].start 12567.78846875
transcript.pyannote[2583].end 12567.97409375
transcript.pyannote[2584].speaker SPEAKER_21
transcript.pyannote[2584].start 12573.45846875
transcript.pyannote[2584].end 12579.06096875
transcript.pyannote[2585].speaker SPEAKER_21
transcript.pyannote[2585].start 12579.39846875
transcript.pyannote[2585].end 12579.75284375
transcript.pyannote[2586].speaker SPEAKER_21
transcript.pyannote[2586].start 12580.96784375
transcript.pyannote[2586].end 12581.82846875
transcript.pyannote[2587].speaker SPEAKER_21
transcript.pyannote[2587].start 12582.19971875
transcript.pyannote[2587].end 12583.24596875
transcript.pyannote[2588].speaker SPEAKER_21
transcript.pyannote[2588].start 12584.96721875
transcript.pyannote[2588].end 12585.64221875
transcript.pyannote[2589].speaker SPEAKER_21
transcript.pyannote[2589].start 12587.16096875
transcript.pyannote[2589].end 12591.24471875
transcript.pyannote[2590].speaker SPEAKER_21
transcript.pyannote[2590].start 12592.17284375
transcript.pyannote[2590].end 12592.93221875
transcript.pyannote[2591].speaker SPEAKER_21
transcript.pyannote[2591].start 12594.60284375
transcript.pyannote[2591].end 12594.68721875
transcript.pyannote[2592].speaker SPEAKER_21
transcript.pyannote[2592].start 12595.41284375
transcript.pyannote[2592].end 12596.66159375
transcript.pyannote[2593].speaker SPEAKER_21
transcript.pyannote[2593].start 12598.06221875
transcript.pyannote[2593].end 12601.85909375
transcript.pyannote[2594].speaker SPEAKER_21
transcript.pyannote[2594].start 12602.66909375
transcript.pyannote[2594].end 12604.77846875
transcript.pyannote[2595].speaker SPEAKER_05
transcript.pyannote[2595].start 12614.49846875
transcript.pyannote[2595].end 12617.58659375
transcript.pyannote[2596].speaker SPEAKER_05
transcript.pyannote[2596].start 12617.90721875
transcript.pyannote[2596].end 12619.91534375
transcript.pyannote[2597].speaker SPEAKER_21
transcript.pyannote[2597].start 12618.71721875
transcript.pyannote[2597].end 12620.28659375
transcript.pyannote[2598].speaker SPEAKER_21
transcript.pyannote[2598].start 12620.52284375
transcript.pyannote[2598].end 12621.07971875
transcript.pyannote[2599].speaker SPEAKER_21
transcript.pyannote[2599].start 12621.53534375
transcript.pyannote[2599].end 12622.24409375
transcript.pyannote[2600].speaker SPEAKER_21
transcript.pyannote[2600].start 12626.46284375
transcript.pyannote[2600].end 12626.47971875
transcript.pyannote[2601].speaker SPEAKER_05
transcript.pyannote[2601].start 12626.47971875
transcript.pyannote[2601].end 12626.93534375
transcript.pyannote[2602].speaker SPEAKER_05
transcript.pyannote[2602].start 12627.20534375
transcript.pyannote[2602].end 12627.59346875
transcript.pyannote[2603].speaker SPEAKER_05
transcript.pyannote[2603].start 12628.43721875
transcript.pyannote[2603].end 12697.91159375
transcript.pyannote[2604].speaker SPEAKER_05
transcript.pyannote[2604].start 12698.56971875
transcript.pyannote[2604].end 12703.85159375
transcript.pyannote[2605].speaker SPEAKER_05
transcript.pyannote[2605].start 12704.64471875
transcript.pyannote[2605].end 12704.66159375
transcript.pyannote[2606].speaker SPEAKER_15
transcript.pyannote[2606].start 12704.66159375
transcript.pyannote[2606].end 12721.67159375
transcript.pyannote[2607].speaker SPEAKER_29
transcript.pyannote[2607].start 12714.63471875
transcript.pyannote[2607].end 12714.75284375
transcript.pyannote[2608].speaker SPEAKER_29
transcript.pyannote[2608].start 12714.78659375
transcript.pyannote[2608].end 12714.87096875
transcript.pyannote[2609].speaker SPEAKER_05
transcript.pyannote[2609].start 12714.87096875
transcript.pyannote[2609].end 12715.78221875
transcript.pyannote[2610].speaker SPEAKER_29
transcript.pyannote[2610].start 12720.87846875
transcript.pyannote[2610].end 12722.27909375
transcript.pyannote[2611].speaker SPEAKER_05
transcript.pyannote[2611].start 12721.67159375
transcript.pyannote[2611].end 12721.68846875
transcript.pyannote[2612].speaker SPEAKER_29
transcript.pyannote[2612].start 12722.41409375
transcript.pyannote[2612].end 12722.46471875
transcript.pyannote[2613].speaker SPEAKER_15
transcript.pyannote[2613].start 12722.46471875
transcript.pyannote[2613].end 12722.73471875
transcript.pyannote[2614].speaker SPEAKER_29
transcript.pyannote[2614].start 12722.54909375
transcript.pyannote[2614].end 12723.54471875
transcript.pyannote[2615].speaker SPEAKER_05
transcript.pyannote[2615].start 12722.78534375
transcript.pyannote[2615].end 12722.81909375
transcript.pyannote[2616].speaker SPEAKER_15
transcript.pyannote[2616].start 12722.81909375
transcript.pyannote[2616].end 12722.93721875
transcript.pyannote[2617].speaker SPEAKER_05
transcript.pyannote[2617].start 12722.93721875
transcript.pyannote[2617].end 12723.05534375
transcript.pyannote[2618].speaker SPEAKER_05
transcript.pyannote[2618].start 12723.13971875
transcript.pyannote[2618].end 12723.17346875
transcript.pyannote[2619].speaker SPEAKER_15
transcript.pyannote[2619].start 12723.17346875
transcript.pyannote[2619].end 12735.72846875
transcript.pyannote[2620].speaker SPEAKER_15
transcript.pyannote[2620].start 12736.45409375
transcript.pyannote[2620].end 12737.39909375
transcript.pyannote[2621].speaker SPEAKER_05
transcript.pyannote[2621].start 12736.60596875
transcript.pyannote[2621].end 12751.28721875
transcript.pyannote[2622].speaker SPEAKER_04
transcript.pyannote[2622].start 12746.66346875
transcript.pyannote[2622].end 12746.95034375
transcript.pyannote[2623].speaker SPEAKER_29
transcript.pyannote[2623].start 12746.95034375
transcript.pyannote[2623].end 12747.03471875
transcript.pyannote[2624].speaker SPEAKER_29
transcript.pyannote[2624].start 12751.20284375
transcript.pyannote[2624].end 12751.65846875
transcript.pyannote[2625].speaker SPEAKER_05
transcript.pyannote[2625].start 12751.30409375
transcript.pyannote[2625].end 12792.66471875
transcript.pyannote[2626].speaker SPEAKER_05
transcript.pyannote[2626].start 12793.20471875
transcript.pyannote[2626].end 12794.18346875
transcript.pyannote[2627].speaker SPEAKER_15
transcript.pyannote[2627].start 12794.18346875
transcript.pyannote[2627].end 12794.23409375
transcript.pyannote[2628].speaker SPEAKER_05
transcript.pyannote[2628].start 12794.45346875
transcript.pyannote[2628].end 12794.97659375
transcript.pyannote[2629].speaker SPEAKER_15
transcript.pyannote[2629].start 12794.97659375
transcript.pyannote[2629].end 12795.02721875
transcript.pyannote[2630].speaker SPEAKER_05
transcript.pyannote[2630].start 12795.02721875
transcript.pyannote[2630].end 12795.97221875
transcript.pyannote[2631].speaker SPEAKER_15
transcript.pyannote[2631].start 12795.97221875
transcript.pyannote[2631].end 12796.47846875
transcript.pyannote[2632].speaker SPEAKER_05
transcript.pyannote[2632].start 12796.47846875
transcript.pyannote[2632].end 12796.49534375
transcript.pyannote[2633].speaker SPEAKER_15
transcript.pyannote[2633].start 12796.49534375
transcript.pyannote[2633].end 12813.03284375
transcript.pyannote[2634].speaker SPEAKER_05
transcript.pyannote[2634].start 12796.51221875
transcript.pyannote[2634].end 12797.15346875
transcript.pyannote[2635].speaker SPEAKER_04
transcript.pyannote[2635].start 12806.18159375
transcript.pyannote[2635].end 12807.81846875
transcript.pyannote[2636].speaker SPEAKER_05
transcript.pyannote[2636].start 12807.81846875
transcript.pyannote[2636].end 12808.67909375
transcript.pyannote[2637].speaker SPEAKER_04
transcript.pyannote[2637].start 12808.67909375
transcript.pyannote[2637].end 12808.74659375
transcript.pyannote[2638].speaker SPEAKER_15
transcript.pyannote[2638].start 12813.48846875
transcript.pyannote[2638].end 12815.02409375
transcript.pyannote[2639].speaker SPEAKER_05
transcript.pyannote[2639].start 12815.02409375
transcript.pyannote[2639].end 12819.25971875
transcript.pyannote[2640].speaker SPEAKER_05
transcript.pyannote[2640].start 12819.90096875
transcript.pyannote[2640].end 12820.47471875
transcript.pyannote[2641].speaker SPEAKER_05
transcript.pyannote[2641].start 12820.67721875
transcript.pyannote[2641].end 12822.09471875
transcript.pyannote[2642].speaker SPEAKER_15
transcript.pyannote[2642].start 12823.37721875
transcript.pyannote[2642].end 12825.35159375
transcript.pyannote[2643].speaker SPEAKER_05
transcript.pyannote[2643].start 12824.76096875
transcript.pyannote[2643].end 12825.48659375
transcript.pyannote[2644].speaker SPEAKER_15
transcript.pyannote[2644].start 12825.48659375
transcript.pyannote[2644].end 12825.72284375
transcript.pyannote[2645].speaker SPEAKER_22
transcript.pyannote[2645].start 12825.72284375
transcript.pyannote[2645].end 12825.73971875
transcript.pyannote[2646].speaker SPEAKER_15
transcript.pyannote[2646].start 12825.73971875
transcript.pyannote[2646].end 12826.04346875
transcript.pyannote[2647].speaker SPEAKER_22
transcript.pyannote[2647].start 12826.04346875
transcript.pyannote[2647].end 12826.65096875
transcript.pyannote[2648].speaker SPEAKER_15
transcript.pyannote[2648].start 12826.65096875
transcript.pyannote[2648].end 12826.97159375
transcript.pyannote[2649].speaker SPEAKER_05
transcript.pyannote[2649].start 12826.66784375
transcript.pyannote[2649].end 12828.32159375
transcript.pyannote[2650].speaker SPEAKER_22
transcript.pyannote[2650].start 12826.97159375
transcript.pyannote[2650].end 12827.32596875
transcript.pyannote[2651].speaker SPEAKER_15
transcript.pyannote[2651].start 12827.32596875
transcript.pyannote[2651].end 12827.42721875
transcript.pyannote[2652].speaker SPEAKER_22
transcript.pyannote[2652].start 12828.91221875
transcript.pyannote[2652].end 12833.16471875
transcript.pyannote[2653].speaker SPEAKER_22
transcript.pyannote[2653].start 12833.28284375
transcript.pyannote[2653].end 12844.35284375
transcript.pyannote[2654].speaker SPEAKER_22
transcript.pyannote[2654].start 12844.65659375
transcript.pyannote[2654].end 12845.87159375
transcript.pyannote[2655].speaker SPEAKER_05
transcript.pyannote[2655].start 12844.69034375
transcript.pyannote[2655].end 12845.56784375
transcript.pyannote[2656].speaker SPEAKER_22
transcript.pyannote[2656].start 12846.27659375
transcript.pyannote[2656].end 12848.84159375
transcript.pyannote[2657].speaker SPEAKER_05
transcript.pyannote[2657].start 12846.58034375
transcript.pyannote[2657].end 12848.23409375
transcript.pyannote[2658].speaker SPEAKER_05
transcript.pyannote[2658].start 12848.84159375
transcript.pyannote[2658].end 12861.97034375
transcript.pyannote[2659].speaker SPEAKER_22
transcript.pyannote[2659].start 12852.33471875
transcript.pyannote[2659].end 12852.75659375
transcript.pyannote[2660].speaker SPEAKER_22
transcript.pyannote[2660].start 12854.44409375
transcript.pyannote[2660].end 12854.83221875
transcript.pyannote[2661].speaker SPEAKER_22
transcript.pyannote[2661].start 12857.58284375
transcript.pyannote[2661].end 12858.19034375
transcript.pyannote[2662].speaker SPEAKER_22
transcript.pyannote[2662].start 12858.76409375
transcript.pyannote[2662].end 12859.42221875
transcript.pyannote[2663].speaker SPEAKER_22
transcript.pyannote[2663].start 12861.97034375
transcript.pyannote[2663].end 12875.20034375
transcript.pyannote[2664].speaker SPEAKER_04
transcript.pyannote[2664].start 12869.86784375
transcript.pyannote[2664].end 12869.96909375
transcript.pyannote[2665].speaker SPEAKER_05
transcript.pyannote[2665].start 12869.96909375
transcript.pyannote[2665].end 12871.28534375
transcript.pyannote[2666].speaker SPEAKER_04
transcript.pyannote[2666].start 12871.28534375
transcript.pyannote[2666].end 12871.42034375
transcript.pyannote[2667].speaker SPEAKER_04
transcript.pyannote[2667].start 12875.20034375
transcript.pyannote[2667].end 12875.38596875
transcript.pyannote[2668].speaker SPEAKER_22
transcript.pyannote[2668].start 12875.38596875
transcript.pyannote[2668].end 12884.39721875
transcript.pyannote[2669].speaker SPEAKER_04
transcript.pyannote[2669].start 12875.41971875
transcript.pyannote[2669].end 12876.97221875
transcript.pyannote[2670].speaker SPEAKER_05
transcript.pyannote[2670].start 12876.97221875
transcript.pyannote[2670].end 12877.46159375
transcript.pyannote[2671].speaker SPEAKER_04
transcript.pyannote[2671].start 12878.50784375
transcript.pyannote[2671].end 12878.52471875
transcript.pyannote[2672].speaker SPEAKER_05
transcript.pyannote[2672].start 12878.52471875
transcript.pyannote[2672].end 12879.90846875
transcript.pyannote[2673].speaker SPEAKER_04
transcript.pyannote[2673].start 12880.24596875
transcript.pyannote[2673].end 12880.26284375
transcript.pyannote[2674].speaker SPEAKER_05
transcript.pyannote[2674].start 12880.26284375
transcript.pyannote[2674].end 12880.29659375
transcript.pyannote[2675].speaker SPEAKER_04
transcript.pyannote[2675].start 12880.29659375
transcript.pyannote[2675].end 12880.31346875
transcript.pyannote[2676].speaker SPEAKER_05
transcript.pyannote[2676].start 12880.31346875
transcript.pyannote[2676].end 12881.47784375
transcript.pyannote[2677].speaker SPEAKER_05
transcript.pyannote[2677].start 12882.38909375
transcript.pyannote[2677].end 12883.51971875
transcript.pyannote[2678].speaker SPEAKER_22
transcript.pyannote[2678].start 12884.63346875
transcript.pyannote[2678].end 12887.41784375
transcript.pyannote[2679].speaker SPEAKER_22
transcript.pyannote[2679].start 12887.53596875
transcript.pyannote[2679].end 12895.02846875
transcript.pyannote[2680].speaker SPEAKER_05
transcript.pyannote[2680].start 12887.78909375
transcript.pyannote[2680].end 12887.87346875
transcript.pyannote[2681].speaker SPEAKER_05
transcript.pyannote[2681].start 12888.98721875
transcript.pyannote[2681].end 12889.81409375
transcript.pyannote[2682].speaker SPEAKER_05
transcript.pyannote[2682].start 12895.02846875
transcript.pyannote[2682].end 12901.27221875
transcript.pyannote[2683].speaker SPEAKER_05
transcript.pyannote[2683].start 12901.44096875
transcript.pyannote[2683].end 12902.80784375
transcript.pyannote[2684].speaker SPEAKER_05
transcript.pyannote[2684].start 12902.89221875
transcript.pyannote[2684].end 12928.13721875
transcript.pyannote[2685].speaker SPEAKER_05
transcript.pyannote[2685].start 12928.30596875
transcript.pyannote[2685].end 12945.24846875
transcript.pyannote[2686].speaker SPEAKER_05
transcript.pyannote[2686].start 12945.56909375
transcript.pyannote[2686].end 12947.18909375
transcript.pyannote[2687].speaker SPEAKER_05
transcript.pyannote[2687].start 12948.01596875
transcript.pyannote[2687].end 12949.36596875
transcript.pyannote[2688].speaker SPEAKER_05
transcript.pyannote[2688].start 12949.70346875
transcript.pyannote[2688].end 12954.61409375
transcript.pyannote[2689].speaker SPEAKER_05
transcript.pyannote[2689].start 12956.74034375
transcript.pyannote[2689].end 12965.36346875
transcript.pyannote[2690].speaker SPEAKER_35
transcript.pyannote[2690].start 12965.49846875
transcript.pyannote[2690].end 12969.80159375
transcript.pyannote[2691].speaker SPEAKER_35
transcript.pyannote[2691].start 12969.98721875
transcript.pyannote[2691].end 12970.00409375
transcript.pyannote[2692].speaker SPEAKER_05
transcript.pyannote[2692].start 12970.00409375
transcript.pyannote[2692].end 12970.15596875
transcript.pyannote[2693].speaker SPEAKER_35
transcript.pyannote[2693].start 12970.15596875
transcript.pyannote[2693].end 12975.01596875
transcript.pyannote[2694].speaker SPEAKER_35
transcript.pyannote[2694].start 12975.21846875
transcript.pyannote[2694].end 12979.69034375
transcript.pyannote[2695].speaker SPEAKER_05
transcript.pyannote[2695].start 12979.25159375
transcript.pyannote[2695].end 12984.01034375
transcript.pyannote[2696].speaker SPEAKER_05
transcript.pyannote[2696].start 12984.22971875
transcript.pyannote[2696].end 12990.20346875
transcript.pyannote[2697].speaker SPEAKER_05
transcript.pyannote[2697].start 12990.40596875
transcript.pyannote[2697].end 12994.20284375
transcript.pyannote[2698].speaker SPEAKER_05
transcript.pyannote[2698].start 12994.82721875
transcript.pyannote[2698].end 12996.37971875
transcript.pyannote[2699].speaker SPEAKER_05
transcript.pyannote[2699].start 12996.64971875
transcript.pyannote[2699].end 12998.42159375
transcript.pyannote[2700].speaker SPEAKER_05
transcript.pyannote[2700].start 12999.97409375
transcript.pyannote[2700].end 13000.90221875
transcript.pyannote[2701].speaker SPEAKER_05
transcript.pyannote[2701].start 13001.07096875
transcript.pyannote[2701].end 13002.26909375
transcript.pyannote[2702].speaker SPEAKER_05
transcript.pyannote[2702].start 13004.19284375
transcript.pyannote[2702].end 13004.81721875
transcript.pyannote[2703].speaker SPEAKER_35
transcript.pyannote[2703].start 13005.18846875
transcript.pyannote[2703].end 13005.42471875
transcript.pyannote[2704].speaker SPEAKER_35
transcript.pyannote[2704].start 13006.20096875
transcript.pyannote[2704].end 13009.60971875
transcript.pyannote[2705].speaker SPEAKER_35
transcript.pyannote[2705].start 13010.26784375
transcript.pyannote[2705].end 13012.86659375
transcript.pyannote[2706].speaker SPEAKER_05
transcript.pyannote[2706].start 13013.05221875
transcript.pyannote[2706].end 13024.62846875
transcript.pyannote[2707].speaker SPEAKER_35
transcript.pyannote[2707].start 13024.62846875
transcript.pyannote[2707].end 13024.67909375
transcript.pyannote[2708].speaker SPEAKER_05
transcript.pyannote[2708].start 13024.67909375
transcript.pyannote[2708].end 13030.02846875
transcript.pyannote[2709].speaker SPEAKER_35
transcript.pyannote[2709].start 13024.72971875
transcript.pyannote[2709].end 13024.84784375
transcript.pyannote[2710].speaker SPEAKER_35
transcript.pyannote[2710].start 13030.39971875
transcript.pyannote[2710].end 13033.25159375
transcript.pyannote[2711].speaker SPEAKER_05
transcript.pyannote[2711].start 13031.02409375
transcript.pyannote[2711].end 13031.36159375
transcript.pyannote[2712].speaker SPEAKER_05
transcript.pyannote[2712].start 13032.82971875
transcript.pyannote[2712].end 13033.65659375
transcript.pyannote[2713].speaker SPEAKER_05
transcript.pyannote[2713].start 13034.09534375
transcript.pyannote[2713].end 13036.40721875
transcript.pyannote[2714].speaker SPEAKER_05
transcript.pyannote[2714].start 13036.82909375
transcript.pyannote[2714].end 13054.42971875
transcript.pyannote[2715].speaker SPEAKER_05
transcript.pyannote[2715].start 13054.64909375
transcript.pyannote[2715].end 13056.18471875
transcript.pyannote[2716].speaker SPEAKER_05
transcript.pyannote[2716].start 13057.21409375
transcript.pyannote[2716].end 13059.47534375
transcript.pyannote[2717].speaker SPEAKER_35
transcript.pyannote[2717].start 13059.96471875
transcript.pyannote[2717].end 13064.89221875
transcript.pyannote[2718].speaker SPEAKER_35
transcript.pyannote[2718].start 13065.16221875
transcript.pyannote[2718].end 13065.53346875
transcript.pyannote[2719].speaker SPEAKER_05
transcript.pyannote[2719].start 13065.53346875
transcript.pyannote[2719].end 13065.56721875
transcript.pyannote[2720].speaker SPEAKER_05
transcript.pyannote[2720].start 13065.70221875
transcript.pyannote[2720].end 13072.90784375
transcript.pyannote[2721].speaker SPEAKER_05
transcript.pyannote[2721].start 13073.39721875
transcript.pyannote[2721].end 13073.93721875
transcript.pyannote[2722].speaker SPEAKER_35
transcript.pyannote[2722].start 13074.02159375
transcript.pyannote[2722].end 13077.26159375
transcript.pyannote[2723].speaker SPEAKER_05
transcript.pyannote[2723].start 13076.83971875
transcript.pyannote[2723].end 13080.67034375
transcript.pyannote[2724].speaker SPEAKER_35
transcript.pyannote[2724].start 13080.97409375
transcript.pyannote[2724].end 13082.49284375
transcript.pyannote[2725].speaker SPEAKER_05
transcript.pyannote[2725].start 13082.49284375
transcript.pyannote[2725].end 13094.62596875
transcript.pyannote[2726].speaker SPEAKER_35
transcript.pyannote[2726].start 13084.41659375
transcript.pyannote[2726].end 13084.46721875
transcript.pyannote[2727].speaker SPEAKER_05
transcript.pyannote[2727].start 13095.04784375
transcript.pyannote[2727].end 13100.58284375
transcript.pyannote[2728].speaker SPEAKER_05
transcript.pyannote[2728].start 13100.90346875
transcript.pyannote[2728].end 13112.83409375
transcript.pyannote[2729].speaker SPEAKER_09
transcript.pyannote[2729].start 13106.94471875
transcript.pyannote[2729].end 13107.14721875
transcript.pyannote[2730].speaker SPEAKER_05
transcript.pyannote[2730].start 13113.17159375
transcript.pyannote[2730].end 13114.20096875
transcript.pyannote[2731].speaker SPEAKER_05
transcript.pyannote[2731].start 13114.89284375
transcript.pyannote[2731].end 13117.67721875
transcript.pyannote[2732].speaker SPEAKER_05
transcript.pyannote[2732].start 13117.81221875
transcript.pyannote[2732].end 13124.86596875
transcript.pyannote[2733].speaker SPEAKER_05
transcript.pyannote[2733].start 13125.08534375
transcript.pyannote[2733].end 13150.00971875
transcript.pyannote[2734].speaker SPEAKER_05
transcript.pyannote[2734].start 13150.44846875
transcript.pyannote[2734].end 13152.70971875
transcript.pyannote[2735].speaker SPEAKER_05
transcript.pyannote[2735].start 13153.06409375
transcript.pyannote[2735].end 13153.08096875
transcript.pyannote[2736].speaker SPEAKER_21
transcript.pyannote[2736].start 13153.08096875
transcript.pyannote[2736].end 13153.21596875
transcript.pyannote[2737].speaker SPEAKER_05
transcript.pyannote[2737].start 13153.21596875
transcript.pyannote[2737].end 13153.33409375
transcript.pyannote[2738].speaker SPEAKER_21
transcript.pyannote[2738].start 13153.33409375
transcript.pyannote[2738].end 13153.62096875
transcript.pyannote[2739].speaker SPEAKER_21
transcript.pyannote[2739].start 13153.78971875
transcript.pyannote[2739].end 13155.03846875
transcript.pyannote[2740].speaker SPEAKER_21
transcript.pyannote[2740].start 13155.07221875
transcript.pyannote[2740].end 13155.32534375
transcript.pyannote[2741].speaker SPEAKER_21
transcript.pyannote[2741].start 13156.47284375
transcript.pyannote[2741].end 13157.60346875
transcript.pyannote[2742].speaker SPEAKER_21
transcript.pyannote[2742].start 13158.97034375
transcript.pyannote[2742].end 13159.88159375
transcript.pyannote[2743].speaker SPEAKER_21
transcript.pyannote[2743].start 13163.49284375
transcript.pyannote[2743].end 13164.16784375
transcript.pyannote[2744].speaker SPEAKER_21
transcript.pyannote[2744].start 13164.48846875
transcript.pyannote[2744].end 13165.14659375
transcript.pyannote[2745].speaker SPEAKER_21
transcript.pyannote[2745].start 13165.50096875
transcript.pyannote[2745].end 13167.42471875
transcript.pyannote[2746].speaker SPEAKER_16
transcript.pyannote[2746].start 13178.95034375
transcript.pyannote[2746].end 13180.36784375
transcript.pyannote[2747].speaker SPEAKER_05
transcript.pyannote[2747].start 13210.15221875
transcript.pyannote[2747].end 13210.43909375
transcript.pyannote[2748].speaker SPEAKER_05
transcript.pyannote[2748].start 13210.55721875
transcript.pyannote[2748].end 13211.45159375
transcript.pyannote[2749].speaker SPEAKER_09
transcript.pyannote[2749].start 13221.61034375
transcript.pyannote[2749].end 13221.74534375
transcript.pyannote[2750].speaker SPEAKER_09
transcript.pyannote[2750].start 13222.82534375
transcript.pyannote[2750].end 13222.85909375
transcript.pyannote[2751].speaker SPEAKER_05
transcript.pyannote[2751].start 13222.85909375
transcript.pyannote[2751].end 13223.02784375
transcript.pyannote[2752].speaker SPEAKER_09
transcript.pyannote[2752].start 13223.02784375
transcript.pyannote[2752].end 13224.15846875
transcript.pyannote[2753].speaker SPEAKER_09
transcript.pyannote[2753].start 13224.19221875
transcript.pyannote[2753].end 13229.03534375
transcript.pyannote[2754].speaker SPEAKER_05
transcript.pyannote[2754].start 13229.03534375
transcript.pyannote[2754].end 13229.05221875
transcript.pyannote[2755].speaker SPEAKER_09
transcript.pyannote[2755].start 13229.05221875
transcript.pyannote[2755].end 13229.06909375
transcript.pyannote[2756].speaker SPEAKER_05
transcript.pyannote[2756].start 13229.06909375
transcript.pyannote[2756].end 13229.15346875
transcript.pyannote[2757].speaker SPEAKER_05
transcript.pyannote[2757].start 13229.60909375
transcript.pyannote[2757].end 13229.67659375
transcript.pyannote[2758].speaker SPEAKER_09
transcript.pyannote[2758].start 13229.67659375
transcript.pyannote[2758].end 13229.69346875
transcript.pyannote[2759].speaker SPEAKER_05
transcript.pyannote[2759].start 13229.69346875
transcript.pyannote[2759].end 13229.79471875
transcript.pyannote[2760].speaker SPEAKER_09
transcript.pyannote[2760].start 13229.79471875
transcript.pyannote[2760].end 13229.81159375
transcript.pyannote[2761].speaker SPEAKER_05
transcript.pyannote[2761].start 13229.81159375
transcript.pyannote[2761].end 13237.37159375
transcript.pyannote[2762].speaker SPEAKER_09
transcript.pyannote[2762].start 13242.63659375
transcript.pyannote[2762].end 13243.41284375
transcript.pyannote[2763].speaker SPEAKER_09
transcript.pyannote[2763].start 13243.48034375
transcript.pyannote[2763].end 13243.96971875
transcript.pyannote[2764].speaker SPEAKER_14
transcript.pyannote[2764].start 13291.96221875
transcript.pyannote[2764].end 13294.67909375
transcript.pyannote[2765].speaker SPEAKER_14
transcript.pyannote[2765].start 13331.97284375
transcript.pyannote[2765].end 13332.02346875
transcript.pyannote[2766].speaker SPEAKER_14
transcript.pyannote[2766].start 13335.16221875
transcript.pyannote[2766].end 13335.43221875
transcript.pyannote[2767].speaker SPEAKER_14
transcript.pyannote[2767].start 13335.63471875
transcript.pyannote[2767].end 13337.82846875
transcript.pyannote[2768].speaker SPEAKER_14
transcript.pyannote[2768].start 13337.96346875
transcript.pyannote[2768].end 13338.03096875
transcript.pyannote[2769].speaker SPEAKER_14
transcript.pyannote[2769].start 13338.53721875
transcript.pyannote[2769].end 13340.83221875
transcript.pyannote[2770].speaker SPEAKER_00
transcript.pyannote[2770].start 13339.21221875
transcript.pyannote[2770].end 13339.43159375
transcript.pyannote[2771].speaker SPEAKER_29
transcript.pyannote[2771].start 13339.43159375
transcript.pyannote[2771].end 13340.08971875
transcript.pyannote[2772].speaker SPEAKER_00
transcript.pyannote[2772].start 13340.42721875
transcript.pyannote[2772].end 13340.46096875
transcript.pyannote[2773].speaker SPEAKER_00
transcript.pyannote[2773].start 13340.51159375
transcript.pyannote[2773].end 13340.56221875
transcript.pyannote[2774].speaker SPEAKER_14
transcript.pyannote[2774].start 13345.01721875
transcript.pyannote[2774].end 13347.63284375
transcript.pyannote[2775].speaker SPEAKER_14
transcript.pyannote[2775].start 13349.43846875
transcript.pyannote[2775].end 13353.58971875
transcript.pyannote[2776].speaker SPEAKER_14
transcript.pyannote[2776].start 13370.36346875
transcript.pyannote[2776].end 13370.68409375
transcript.pyannote[2777].speaker SPEAKER_14
transcript.pyannote[2777].start 13383.84659375
transcript.pyannote[2777].end 13384.28534375
transcript.pyannote[2778].speaker SPEAKER_14
transcript.pyannote[2778].start 13384.77471875
transcript.pyannote[2778].end 13388.06534375
transcript.pyannote[2779].speaker SPEAKER_24
transcript.pyannote[2779].start 13388.06534375
transcript.pyannote[2779].end 13388.31846875
transcript.pyannote[2780].speaker SPEAKER_24
transcript.pyannote[2780].start 13390.44471875
transcript.pyannote[2780].end 13391.76096875
transcript.pyannote[2781].speaker SPEAKER_14
transcript.pyannote[2781].start 13443.34784375
transcript.pyannote[2781].end 13443.49971875
transcript.pyannote[2782].speaker SPEAKER_14
transcript.pyannote[2782].start 13461.53909375
transcript.pyannote[2782].end 13462.66971875
transcript.pyannote[2783].speaker SPEAKER_14
transcript.pyannote[2783].start 13463.56409375
transcript.pyannote[2783].end 13465.38659375
transcript.pyannote[2784].speaker SPEAKER_14
transcript.pyannote[2784].start 13488.45471875
transcript.pyannote[2784].end 13488.55596875
transcript.pyannote[2785].speaker SPEAKER_14
transcript.pyannote[2785].start 13488.72471875
transcript.pyannote[2785].end 13489.02846875
transcript.pyannote[2786].speaker SPEAKER_14
transcript.pyannote[2786].start 13549.67721875
transcript.pyannote[2786].end 13549.71096875
transcript.pyannote[2787].speaker SPEAKER_14
transcript.pyannote[2787].start 13549.82909375
transcript.pyannote[2787].end 13549.89659375
transcript.pyannote[2788].speaker SPEAKER_14
transcript.pyannote[2788].start 13549.96409375
transcript.pyannote[2788].end 13550.03159375
transcript.pyannote[2789].speaker SPEAKER_21
transcript.pyannote[2789].start 13554.21659375
transcript.pyannote[2789].end 13555.27971875
transcript.pyannote[2790].speaker SPEAKER_22
transcript.pyannote[2790].start 13587.51096875
transcript.pyannote[2790].end 13587.83159375
transcript.pyannote[2791].speaker SPEAKER_22
transcript.pyannote[2791].start 13589.31659375
transcript.pyannote[2791].end 13593.02909375
transcript.pyannote[2792].speaker SPEAKER_22
transcript.pyannote[2792].start 13598.96909375
transcript.pyannote[2792].end 13601.02784375
transcript.pyannote[2793].speaker SPEAKER_20
transcript.pyannote[2793].start 13604.35221875
transcript.pyannote[2793].end 13604.53784375
transcript.pyannote[2794].speaker SPEAKER_13
transcript.pyannote[2794].start 13648.37909375
transcript.pyannote[2794].end 13650.21846875
transcript.pyannote[2795].speaker SPEAKER_22
transcript.pyannote[2795].start 13721.17784375
transcript.pyannote[2795].end 13722.47721875
transcript.pyannote[2796].speaker SPEAKER_22
transcript.pyannote[2796].start 13722.67971875
transcript.pyannote[2796].end 13723.55721875
transcript.pyannote[2797].speaker SPEAKER_22
transcript.pyannote[2797].start 13725.70034375
transcript.pyannote[2797].end 13726.08846875
transcript.pyannote[2798].speaker SPEAKER_09
transcript.pyannote[2798].start 13748.97096875
transcript.pyannote[2798].end 13749.02159375
transcript.pyannote[2799].speaker SPEAKER_28
transcript.pyannote[2799].start 13834.83096875
transcript.pyannote[2799].end 13835.70846875
transcript.pyannote[2800].speaker SPEAKER_28
transcript.pyannote[2800].start 13836.90659375
transcript.pyannote[2800].end 13837.09221875
transcript.pyannote[2801].speaker SPEAKER_28
transcript.pyannote[2801].start 13837.17659375
transcript.pyannote[2801].end 13839.42096875
transcript.pyannote[2802].speaker SPEAKER_24
transcript.pyannote[2802].start 13849.15784375
transcript.pyannote[2802].end 13850.00159375
transcript.pyannote[2803].speaker SPEAKER_14
transcript.pyannote[2803].start 13877.15346875
transcript.pyannote[2803].end 13878.25034375
transcript.pyannote[2804].speaker SPEAKER_14
transcript.pyannote[2804].start 13879.19534375
transcript.pyannote[2804].end 13880.25846875
transcript.pyannote[2805].speaker SPEAKER_14
transcript.pyannote[2805].start 13902.78659375
transcript.pyannote[2805].end 13903.00596875
transcript.pyannote[2806].speaker SPEAKER_14
transcript.pyannote[2806].start 13904.96346875
transcript.pyannote[2806].end 13905.95909375
transcript.pyannote[2807].speaker SPEAKER_14
transcript.pyannote[2807].start 13905.97596875
transcript.pyannote[2807].end 13905.99284375
transcript.pyannote[2808].speaker SPEAKER_14
transcript.pyannote[2808].start 13909.46909375
transcript.pyannote[2808].end 13915.17284375
transcript.pyannote[2809].speaker SPEAKER_14
transcript.pyannote[2809].start 13917.13034375
transcript.pyannote[2809].end 13918.59846875
transcript.pyannote[2810].speaker SPEAKER_14
transcript.pyannote[2810].start 13936.03034375
transcript.pyannote[2810].end 13936.06409375
transcript.pyannote[2811].speaker SPEAKER_14
transcript.pyannote[2811].start 13936.30034375
transcript.pyannote[2811].end 13936.60409375
transcript.pyannote[2812].speaker SPEAKER_14
transcript.pyannote[2812].start 13936.62096875
transcript.pyannote[2812].end 13936.63784375
transcript.pyannote[2813].speaker SPEAKER_14
transcript.pyannote[2813].start 13936.72221875
transcript.pyannote[2813].end 13937.02596875
transcript.pyannote[2814].speaker SPEAKER_14
transcript.pyannote[2814].start 13941.16034375
transcript.pyannote[2814].end 13942.37534375
transcript.pyannote[2815].speaker SPEAKER_14
transcript.pyannote[2815].start 13942.62846875
transcript.pyannote[2815].end 13943.08409375
transcript.pyannote[2816].speaker SPEAKER_14
transcript.pyannote[2816].start 13943.48909375
transcript.pyannote[2816].end 13945.00784375
transcript.pyannote[2817].speaker SPEAKER_14
transcript.pyannote[2817].start 13959.62159375
transcript.pyannote[2817].end 13961.74784375
transcript.pyannote[2818].speaker SPEAKER_14
transcript.pyannote[2818].start 13976.14221875
transcript.pyannote[2818].end 13977.84659375
transcript.pyannote[2819].speaker SPEAKER_14
transcript.pyannote[2819].start 13977.94784375
transcript.pyannote[2819].end 13978.03221875
transcript.pyannote[2820].speaker SPEAKER_14
transcript.pyannote[2820].start 13978.04909375
transcript.pyannote[2820].end 13978.90971875
transcript.pyannote[2821].speaker SPEAKER_14
transcript.pyannote[2821].start 13979.19659375
transcript.pyannote[2821].end 13979.23034375
transcript.pyannote[2822].speaker SPEAKER_14
transcript.pyannote[2822].start 13979.38221875
transcript.pyannote[2822].end 13981.03596875
transcript.pyannote[2823].speaker SPEAKER_14
transcript.pyannote[2823].start 13981.39034375
transcript.pyannote[2823].end 13982.01471875
transcript.pyannote[2824].speaker SPEAKER_18
transcript.pyannote[2824].start 14011.84971875
transcript.pyannote[2824].end 14013.28409375
transcript.pyannote[2825].speaker SPEAKER_14
transcript.pyannote[2825].start 14026.32846875
transcript.pyannote[2825].end 14027.17221875
transcript.pyannote[2826].speaker SPEAKER_14
transcript.pyannote[2826].start 14027.50971875
transcript.pyannote[2826].end 14027.99909375
transcript.pyannote[2827].speaker SPEAKER_02
transcript.pyannote[2827].start 14029.26471875
transcript.pyannote[2827].end 14030.80034375
transcript.pyannote[2828].speaker SPEAKER_02
transcript.pyannote[2828].start 14031.23909375
transcript.pyannote[2828].end 14035.37346875
transcript.pyannote[2829].speaker SPEAKER_02
transcript.pyannote[2829].start 14037.36471875
transcript.pyannote[2829].end 14039.03534375
transcript.pyannote[2830].speaker SPEAKER_14
transcript.pyannote[2830].start 14101.20284375
transcript.pyannote[2830].end 14101.47284375
transcript.pyannote[2831].speaker SPEAKER_14
transcript.pyannote[2831].start 14101.50659375
transcript.pyannote[2831].end 14101.52346875
transcript.pyannote[2832].speaker SPEAKER_14
transcript.pyannote[2832].start 14101.55721875
transcript.pyannote[2832].end 14101.64159375
transcript.pyannote[2833].speaker SPEAKER_14
transcript.pyannote[2833].start 14102.04659375
transcript.pyannote[2833].end 14102.06346875
transcript.pyannote[2834].speaker SPEAKER_14
transcript.pyannote[2834].start 14102.97471875
transcript.pyannote[2834].end 14107.58159375
transcript.pyannote[2835].speaker SPEAKER_29
transcript.pyannote[2835].start 14105.92784375
transcript.pyannote[2835].end 14106.19784375
transcript.pyannote[2836].speaker SPEAKER_21
transcript.pyannote[2836].start 15506.77221875
transcript.pyannote[2836].end 15508.59471875
transcript.pyannote[2837].speaker SPEAKER_21
transcript.pyannote[2837].start 15509.65784375
transcript.pyannote[2837].end 15511.37909375
transcript.pyannote[2838].speaker SPEAKER_10
transcript.pyannote[2838].start 15517.33596875
transcript.pyannote[2838].end 15519.91784375
transcript.pyannote[2839].speaker SPEAKER_21
transcript.pyannote[2839].start 15520.30596875
transcript.pyannote[2839].end 15521.80784375
transcript.pyannote[2840].speaker SPEAKER_10
transcript.pyannote[2840].start 15525.16596875
transcript.pyannote[2840].end 15526.46534375
transcript.pyannote[2841].speaker SPEAKER_10
transcript.pyannote[2841].start 15526.66784375
transcript.pyannote[2841].end 15526.88721875
transcript.pyannote[2842].speaker SPEAKER_21
transcript.pyannote[2842].start 15527.08971875
transcript.pyannote[2842].end 15527.56221875
transcript.pyannote[2843].speaker SPEAKER_10
transcript.pyannote[2843].start 15528.27096875
transcript.pyannote[2843].end 15529.23284375
transcript.pyannote[2844].speaker SPEAKER_21
transcript.pyannote[2844].start 15529.23284375
transcript.pyannote[2844].end 15530.66721875
transcript.pyannote[2845].speaker SPEAKER_21
transcript.pyannote[2845].start 15532.32096875
transcript.pyannote[2845].end 15532.75971875
transcript.pyannote[2846].speaker SPEAKER_10
transcript.pyannote[2846].start 15533.04659375
transcript.pyannote[2846].end 15537.13034375
transcript.pyannote[2847].speaker SPEAKER_10
transcript.pyannote[2847].start 15537.65346875
transcript.pyannote[2847].end 15541.04534375
transcript.pyannote[2848].speaker SPEAKER_10
transcript.pyannote[2848].start 15541.75409375
transcript.pyannote[2848].end 15547.42409375
transcript.pyannote[2849].speaker SPEAKER_10
transcript.pyannote[2849].start 15547.66034375
transcript.pyannote[2849].end 15552.28409375
transcript.pyannote[2850].speaker SPEAKER_10
transcript.pyannote[2850].start 15553.07721875
transcript.pyannote[2850].end 15553.54971875
transcript.pyannote[2851].speaker SPEAKER_10
transcript.pyannote[2851].start 15553.80284375
transcript.pyannote[2851].end 15554.51159375
transcript.pyannote[2852].speaker SPEAKER_10
transcript.pyannote[2852].start 15555.11909375
transcript.pyannote[2852].end 15558.20721875
transcript.pyannote[2853].speaker SPEAKER_10
transcript.pyannote[2853].start 15558.37596875
transcript.pyannote[2853].end 15559.47284375
transcript.pyannote[2854].speaker SPEAKER_10
transcript.pyannote[2854].start 15559.60784375
transcript.pyannote[2854].end 15560.46846875
transcript.pyannote[2855].speaker SPEAKER_10
transcript.pyannote[2855].start 15561.16034375
transcript.pyannote[2855].end 15563.45534375
transcript.pyannote[2856].speaker SPEAKER_10
transcript.pyannote[2856].start 15564.45096875
transcript.pyannote[2856].end 15565.05846875
transcript.pyannote[2857].speaker SPEAKER_10
transcript.pyannote[2857].start 15565.63221875
transcript.pyannote[2857].end 15566.50971875
transcript.pyannote[2858].speaker SPEAKER_10
transcript.pyannote[2858].start 15567.64034375
transcript.pyannote[2858].end 15568.68659375
transcript.pyannote[2859].speaker SPEAKER_10
transcript.pyannote[2859].start 15568.85534375
transcript.pyannote[2859].end 15570.00284375
transcript.pyannote[2860].speaker SPEAKER_10
transcript.pyannote[2860].start 15570.28971875
transcript.pyannote[2860].end 15570.98159375
transcript.pyannote[2861].speaker SPEAKER_10
transcript.pyannote[2861].start 15571.55534375
transcript.pyannote[2861].end 15573.54659375
transcript.pyannote[2862].speaker SPEAKER_10
transcript.pyannote[2862].start 15574.28909375
transcript.pyannote[2862].end 15577.42784375
transcript.pyannote[2863].speaker SPEAKER_10
transcript.pyannote[2863].start 15577.84971875
transcript.pyannote[2863].end 15578.37284375
transcript.pyannote[2864].speaker SPEAKER_10
transcript.pyannote[2864].start 15578.84534375
transcript.pyannote[2864].end 15580.43159375
transcript.pyannote[2865].speaker SPEAKER_10
transcript.pyannote[2865].start 15581.14034375
transcript.pyannote[2865].end 15584.86971875
transcript.pyannote[2866].speaker SPEAKER_10
transcript.pyannote[2866].start 15585.15659375
transcript.pyannote[2866].end 15589.62846875
transcript.pyannote[2867].speaker SPEAKER_10
transcript.pyannote[2867].start 15590.06721875
transcript.pyannote[2867].end 15591.07971875
transcript.pyannote[2868].speaker SPEAKER_10
transcript.pyannote[2868].start 15591.99096875
transcript.pyannote[2868].end 15597.17159375
transcript.pyannote[2869].speaker SPEAKER_10
transcript.pyannote[2869].start 15597.45846875
transcript.pyannote[2869].end 15598.69034375
transcript.pyannote[2870].speaker SPEAKER_27
transcript.pyannote[2870].start 15599.66909375
transcript.pyannote[2870].end 15608.27534375
transcript.pyannote[2871].speaker SPEAKER_04
transcript.pyannote[2871].start 15606.53721875
transcript.pyannote[2871].end 15607.06034375
transcript.pyannote[2872].speaker SPEAKER_04
transcript.pyannote[2872].start 15608.68034375
transcript.pyannote[2872].end 15608.86596875
transcript.pyannote[2873].speaker SPEAKER_27
transcript.pyannote[2873].start 15608.86596875
transcript.pyannote[2873].end 15613.82721875
transcript.pyannote[2874].speaker SPEAKER_04
transcript.pyannote[2874].start 15608.88284375
transcript.pyannote[2874].end 15610.45221875
transcript.pyannote[2875].speaker SPEAKER_04
transcript.pyannote[2875].start 15611.75159375
transcript.pyannote[2875].end 15613.38846875
transcript.pyannote[2876].speaker SPEAKER_27
transcript.pyannote[2876].start 15614.24909375
transcript.pyannote[2876].end 15617.48909375
transcript.pyannote[2877].speaker SPEAKER_27
transcript.pyannote[2877].start 15617.69159375
transcript.pyannote[2877].end 15620.12159375
transcript.pyannote[2878].speaker SPEAKER_27
transcript.pyannote[2878].start 15620.50971875
transcript.pyannote[2878].end 15621.89346875
transcript.pyannote[2879].speaker SPEAKER_27
transcript.pyannote[2879].start 15622.11284375
transcript.pyannote[2879].end 15629.58846875
transcript.pyannote[2880].speaker SPEAKER_27
transcript.pyannote[2880].start 15630.01034375
transcript.pyannote[2880].end 15633.03096875
transcript.pyannote[2881].speaker SPEAKER_27
transcript.pyannote[2881].start 15633.58784375
transcript.pyannote[2881].end 15635.78159375
transcript.pyannote[2882].speaker SPEAKER_10
transcript.pyannote[2882].start 15634.98846875
transcript.pyannote[2882].end 15635.89971875
transcript.pyannote[2883].speaker SPEAKER_10
transcript.pyannote[2883].start 15636.43971875
transcript.pyannote[2883].end 15641.75534375
transcript.pyannote[2884].speaker SPEAKER_27
transcript.pyannote[2884].start 15637.97534375
transcript.pyannote[2884].end 15640.84409375
transcript.pyannote[2885].speaker SPEAKER_10
transcript.pyannote[2885].start 15642.12659375
transcript.pyannote[2885].end 15648.84284375
transcript.pyannote[2886].speaker SPEAKER_27
transcript.pyannote[2886].start 15649.33221875
transcript.pyannote[2886].end 15651.55971875
transcript.pyannote[2887].speaker SPEAKER_27
transcript.pyannote[2887].start 15651.76221875
transcript.pyannote[2887].end 15653.97284375
transcript.pyannote[2888].speaker SPEAKER_27
transcript.pyannote[2888].start 15654.37784375
transcript.pyannote[2888].end 15655.15409375
transcript.pyannote[2889].speaker SPEAKER_10
transcript.pyannote[2889].start 15654.54659375
transcript.pyannote[2889].end 15657.55034375
transcript.pyannote[2890].speaker SPEAKER_27
transcript.pyannote[2890].start 15656.30159375
transcript.pyannote[2890].end 15675.15096875
transcript.pyannote[2891].speaker SPEAKER_10
transcript.pyannote[2891].start 15674.76284375
transcript.pyannote[2891].end 15675.94409375
transcript.pyannote[2892].speaker SPEAKER_27
transcript.pyannote[2892].start 15676.39971875
transcript.pyannote[2892].end 15681.24284375
transcript.pyannote[2893].speaker SPEAKER_10
transcript.pyannote[2893].start 15677.96909375
transcript.pyannote[2893].end 15679.60596875
transcript.pyannote[2894].speaker SPEAKER_10
transcript.pyannote[2894].start 15681.25971875
transcript.pyannote[2894].end 15686.65971875
transcript.pyannote[2895].speaker SPEAKER_10
transcript.pyannote[2895].start 15687.48659375
transcript.pyannote[2895].end 15688.56659375
transcript.pyannote[2896].speaker SPEAKER_10
transcript.pyannote[2896].start 15689.07284375
transcript.pyannote[2896].end 15691.01346875
transcript.pyannote[2897].speaker SPEAKER_10
transcript.pyannote[2897].start 15691.45221875
transcript.pyannote[2897].end 15692.81909375
transcript.pyannote[2898].speaker SPEAKER_10
transcript.pyannote[2898].start 15693.29159375
transcript.pyannote[2898].end 15695.01284375
transcript.pyannote[2899].speaker SPEAKER_10
transcript.pyannote[2899].start 15695.68784375
transcript.pyannote[2899].end 15697.03784375
transcript.pyannote[2900].speaker SPEAKER_10
transcript.pyannote[2900].start 15697.71284375
transcript.pyannote[2900].end 15699.28221875
transcript.pyannote[2901].speaker SPEAKER_10
transcript.pyannote[2901].start 15699.45096875
transcript.pyannote[2901].end 15700.48034375
transcript.pyannote[2902].speaker SPEAKER_10
transcript.pyannote[2902].start 15701.00346875
transcript.pyannote[2902].end 15702.03284375
transcript.pyannote[2903].speaker SPEAKER_10
transcript.pyannote[2903].start 15702.42096875
transcript.pyannote[2903].end 15703.87221875
transcript.pyannote[2904].speaker SPEAKER_10
transcript.pyannote[2904].start 15704.04096875
transcript.pyannote[2904].end 15707.06159375
transcript.pyannote[2905].speaker SPEAKER_10
transcript.pyannote[2905].start 15707.78721875
transcript.pyannote[2905].end 15708.47909375
transcript.pyannote[2906].speaker SPEAKER_10
transcript.pyannote[2906].start 15708.83346875
transcript.pyannote[2906].end 15711.17909375
transcript.pyannote[2907].speaker SPEAKER_10
transcript.pyannote[2907].start 15711.88784375
transcript.pyannote[2907].end 15714.30096875
transcript.pyannote[2908].speaker SPEAKER_10
transcript.pyannote[2908].start 15714.70596875
transcript.pyannote[2908].end 15715.90409375
transcript.pyannote[2909].speaker SPEAKER_10
transcript.pyannote[2909].start 15716.12346875
transcript.pyannote[2909].end 15716.73096875
transcript.pyannote[2910].speaker SPEAKER_10
transcript.pyannote[2910].start 15717.28784375
transcript.pyannote[2910].end 15718.24971875
transcript.pyannote[2911].speaker SPEAKER_10
transcript.pyannote[2911].start 15718.68846875
transcript.pyannote[2911].end 15719.32971875
transcript.pyannote[2912].speaker SPEAKER_10
transcript.pyannote[2912].start 15720.78096875
transcript.pyannote[2912].end 15723.71721875
transcript.pyannote[2913].speaker SPEAKER_10
transcript.pyannote[2913].start 15724.18971875
transcript.pyannote[2913].end 15727.09221875
transcript.pyannote[2914].speaker SPEAKER_10
transcript.pyannote[2914].start 15727.22721875
transcript.pyannote[2914].end 15727.83471875
transcript.pyannote[2915].speaker SPEAKER_10
transcript.pyannote[2915].start 15728.67846875
transcript.pyannote[2915].end 15729.50534375
transcript.pyannote[2916].speaker SPEAKER_15
transcript.pyannote[2916].start 15730.04534375
transcript.pyannote[2916].end 15730.73721875
transcript.pyannote[2917].speaker SPEAKER_15
transcript.pyannote[2917].start 15731.00721875
transcript.pyannote[2917].end 15732.96471875
transcript.pyannote[2918].speaker SPEAKER_10
transcript.pyannote[2918].start 15733.25159375
transcript.pyannote[2918].end 15735.15846875
transcript.pyannote[2919].speaker SPEAKER_15
transcript.pyannote[2919].start 15735.15846875
transcript.pyannote[2919].end 15735.19221875
transcript.pyannote[2920].speaker SPEAKER_15
transcript.pyannote[2920].start 15736.00221875
transcript.pyannote[2920].end 15737.40284375
transcript.pyannote[2921].speaker SPEAKER_15
transcript.pyannote[2921].start 15737.97659375
transcript.pyannote[2921].end 15739.49534375
transcript.pyannote[2922].speaker SPEAKER_10
transcript.pyannote[2922].start 15739.34346875
transcript.pyannote[2922].end 15739.44471875
transcript.pyannote[2923].speaker SPEAKER_10
transcript.pyannote[2923].start 15739.49534375
transcript.pyannote[2923].end 15749.65409375
transcript.pyannote[2924].speaker SPEAKER_10
transcript.pyannote[2924].start 15750.12659375
transcript.pyannote[2924].end 15755.39159375
transcript.pyannote[2925].speaker SPEAKER_10
transcript.pyannote[2925].start 15756.06659375
transcript.pyannote[2925].end 15757.07909375
transcript.pyannote[2926].speaker SPEAKER_10
transcript.pyannote[2926].start 15757.60221875
transcript.pyannote[2926].end 15760.99409375
transcript.pyannote[2927].speaker SPEAKER_10
transcript.pyannote[2927].start 15761.12909375
transcript.pyannote[2927].end 15768.43596875
transcript.pyannote[2928].speaker SPEAKER_10
transcript.pyannote[2928].start 15768.60471875
transcript.pyannote[2928].end 15770.96721875
transcript.pyannote[2929].speaker SPEAKER_10
transcript.pyannote[2929].start 15771.50721875
transcript.pyannote[2929].end 15772.55346875
transcript.pyannote[2930].speaker SPEAKER_10
transcript.pyannote[2930].start 15773.43096875
transcript.pyannote[2930].end 15775.79346875
transcript.pyannote[2931].speaker SPEAKER_15
transcript.pyannote[2931].start 15776.33346875
transcript.pyannote[2931].end 15778.20659375
transcript.pyannote[2932].speaker SPEAKER_10
transcript.pyannote[2932].start 15776.46846875
transcript.pyannote[2932].end 15777.16034375
transcript.pyannote[2933].speaker SPEAKER_10
transcript.pyannote[2933].start 15777.48096875
transcript.pyannote[2933].end 15778.22346875
transcript.pyannote[2934].speaker SPEAKER_15
transcript.pyannote[2934].start 15778.22346875
transcript.pyannote[2934].end 15779.13471875
transcript.pyannote[2935].speaker SPEAKER_10
transcript.pyannote[2935].start 15779.05034375
transcript.pyannote[2935].end 15783.75846875
transcript.pyannote[2936].speaker SPEAKER_15
transcript.pyannote[2936].start 15781.05846875
transcript.pyannote[2936].end 15786.74534375
transcript.pyannote[2937].speaker SPEAKER_15
transcript.pyannote[2937].start 15787.70721875
transcript.pyannote[2937].end 15787.75784375
transcript.pyannote[2938].speaker SPEAKER_10
transcript.pyannote[2938].start 15787.75784375
transcript.pyannote[2938].end 15791.09909375
transcript.pyannote[2939].speaker SPEAKER_15
transcript.pyannote[2939].start 15791.62221875
transcript.pyannote[2939].end 15791.63909375
transcript.pyannote[2940].speaker SPEAKER_10
transcript.pyannote[2940].start 15791.63909375
transcript.pyannote[2940].end 15796.66784375
transcript.pyannote[2941].speaker SPEAKER_15
transcript.pyannote[2941].start 15796.87034375
transcript.pyannote[2941].end 15798.18659375
transcript.pyannote[2942].speaker SPEAKER_10
transcript.pyannote[2942].start 15798.35534375
transcript.pyannote[2942].end 15803.18159375
transcript.pyannote[2943].speaker SPEAKER_15
transcript.pyannote[2943].start 15801.24096875
transcript.pyannote[2943].end 15801.39284375
transcript.pyannote[2944].speaker SPEAKER_15
transcript.pyannote[2944].start 15803.18159375
transcript.pyannote[2944].end 15803.46846875
transcript.pyannote[2945].speaker SPEAKER_10
transcript.pyannote[2945].start 15803.46846875
transcript.pyannote[2945].end 15805.69596875
transcript.pyannote[2946].speaker SPEAKER_15
transcript.pyannote[2946].start 15807.24846875
transcript.pyannote[2946].end 15807.92346875
transcript.pyannote[2947].speaker SPEAKER_10
transcript.pyannote[2947].start 15807.31596875
transcript.pyannote[2947].end 15808.71659375
transcript.pyannote[2948].speaker SPEAKER_10
transcript.pyannote[2948].start 15809.54346875
transcript.pyannote[2948].end 15811.50096875
transcript.pyannote[2949].speaker SPEAKER_10
transcript.pyannote[2949].start 15812.12534375
transcript.pyannote[2949].end 15815.92221875
transcript.pyannote[2950].speaker SPEAKER_10
transcript.pyannote[2950].start 15816.19221875
transcript.pyannote[2950].end 15817.67721875
transcript.pyannote[2951].speaker SPEAKER_10
transcript.pyannote[2951].start 15818.06534375
transcript.pyannote[2951].end 15819.98909375
transcript.pyannote[2952].speaker SPEAKER_10
transcript.pyannote[2952].start 15820.51221875
transcript.pyannote[2952].end 15822.73971875
transcript.pyannote[2953].speaker SPEAKER_10
transcript.pyannote[2953].start 15823.27971875
transcript.pyannote[2953].end 15824.64659375
transcript.pyannote[2954].speaker SPEAKER_10
transcript.pyannote[2954].start 15825.99659375
transcript.pyannote[2954].end 15826.41846875
transcript.pyannote[2955].speaker SPEAKER_10
transcript.pyannote[2955].start 15828.12284375
transcript.pyannote[2955].end 15831.22784375
transcript.pyannote[2956].speaker SPEAKER_10
transcript.pyannote[2956].start 15831.83534375
transcript.pyannote[2956].end 15833.84346875
transcript.pyannote[2957].speaker SPEAKER_10
transcript.pyannote[2957].start 15834.26534375
transcript.pyannote[2957].end 15835.95284375
transcript.pyannote[2958].speaker SPEAKER_10
transcript.pyannote[2958].start 15837.03284375
transcript.pyannote[2958].end 15837.47159375
transcript.pyannote[2959].speaker SPEAKER_15
transcript.pyannote[2959].start 15838.50096875
transcript.pyannote[2959].end 15840.44159375
transcript.pyannote[2960].speaker SPEAKER_10
transcript.pyannote[2960].start 15840.71159375
transcript.pyannote[2960].end 15840.72846875
transcript.pyannote[2961].speaker SPEAKER_15
transcript.pyannote[2961].start 15840.72846875
transcript.pyannote[2961].end 15842.21346875
transcript.pyannote[2962].speaker SPEAKER_15
transcript.pyannote[2962].start 15842.44971875
transcript.pyannote[2962].end 15842.97284375
transcript.pyannote[2963].speaker SPEAKER_00
transcript.pyannote[2963].start 15844.82909375
transcript.pyannote[2963].end 15851.41034375
transcript.pyannote[2964].speaker SPEAKER_10
transcript.pyannote[2964].start 15850.78596875
transcript.pyannote[2964].end 15855.25784375
transcript.pyannote[2965].speaker SPEAKER_10
transcript.pyannote[2965].start 15855.78096875
transcript.pyannote[2965].end 15860.18534375
transcript.pyannote[2966].speaker SPEAKER_10
transcript.pyannote[2966].start 15861.26534375
transcript.pyannote[2966].end 15864.55596875
transcript.pyannote[2967].speaker SPEAKER_10
transcript.pyannote[2967].start 15864.99471875
transcript.pyannote[2967].end 15866.04096875
transcript.pyannote[2968].speaker SPEAKER_10
transcript.pyannote[2968].start 15866.64846875
transcript.pyannote[2968].end 15867.81284375
transcript.pyannote[2969].speaker SPEAKER_10
transcript.pyannote[2969].start 15868.82534375
transcript.pyannote[2969].end 15869.19659375
transcript.pyannote[2970].speaker SPEAKER_10
transcript.pyannote[2970].start 15870.17534375
transcript.pyannote[2970].end 15872.72346875
transcript.pyannote[2971].speaker SPEAKER_09
transcript.pyannote[2971].start 15870.95159375
transcript.pyannote[2971].end 15871.01909375
transcript.pyannote[2972].speaker SPEAKER_10
transcript.pyannote[2972].start 15873.83721875
transcript.pyannote[2972].end 15882.42659375
transcript.pyannote[2973].speaker SPEAKER_10
transcript.pyannote[2973].start 15883.27034375
transcript.pyannote[2973].end 15885.32909375
transcript.pyannote[2974].speaker SPEAKER_10
transcript.pyannote[2974].start 15885.91971875
transcript.pyannote[2974].end 15890.84721875
transcript.pyannote[2975].speaker SPEAKER_10
transcript.pyannote[2975].start 15891.84284375
transcript.pyannote[2975].end 15893.49659375
transcript.pyannote[2976].speaker SPEAKER_10
transcript.pyannote[2976].start 15894.49221875
transcript.pyannote[2976].end 15896.01096875
transcript.pyannote[2977].speaker SPEAKER_10
transcript.pyannote[2977].start 15896.65221875
transcript.pyannote[2977].end 15898.89659375
transcript.pyannote[2978].speaker SPEAKER_10
transcript.pyannote[2978].start 15899.52096875
transcript.pyannote[2978].end 15903.73971875
transcript.pyannote[2979].speaker SPEAKER_15
transcript.pyannote[2979].start 15902.33909375
transcript.pyannote[2979].end 15905.22471875
transcript.pyannote[2980].speaker SPEAKER_15
transcript.pyannote[2980].start 15905.71409375
transcript.pyannote[2980].end 15905.73096875
transcript.pyannote[2981].speaker SPEAKER_10
transcript.pyannote[2981].start 15905.73096875
transcript.pyannote[2981].end 15905.76471875
transcript.pyannote[2982].speaker SPEAKER_15
transcript.pyannote[2982].start 15905.76471875
transcript.pyannote[2982].end 15905.81534375
transcript.pyannote[2983].speaker SPEAKER_10
transcript.pyannote[2983].start 15905.81534375
transcript.pyannote[2983].end 15906.37221875
transcript.pyannote[2984].speaker SPEAKER_15
transcript.pyannote[2984].start 15906.37221875
transcript.pyannote[2984].end 15911.55284375
transcript.pyannote[2985].speaker SPEAKER_10
transcript.pyannote[2985].start 15908.16096875
transcript.pyannote[2985].end 15908.90346875
transcript.pyannote[2986].speaker SPEAKER_04
transcript.pyannote[2986].start 15909.51096875
transcript.pyannote[2986].end 15909.54471875
transcript.pyannote[2987].speaker SPEAKER_10
transcript.pyannote[2987].start 15909.54471875
transcript.pyannote[2987].end 15912.44721875
transcript.pyannote[2988].speaker SPEAKER_10
transcript.pyannote[2988].start 15913.39221875
transcript.pyannote[2988].end 15924.64784375
transcript.pyannote[2989].speaker SPEAKER_15
transcript.pyannote[2989].start 15915.34971875
transcript.pyannote[2989].end 15915.58596875
transcript.pyannote[2990].speaker SPEAKER_04
transcript.pyannote[2990].start 15915.58596875
transcript.pyannote[2990].end 15915.82221875
transcript.pyannote[2991].speaker SPEAKER_15
transcript.pyannote[2991].start 15915.82221875
transcript.pyannote[2991].end 15919.39971875
transcript.pyannote[2992].speaker SPEAKER_10
transcript.pyannote[2992].start 15925.30596875
transcript.pyannote[2992].end 15937.15221875
transcript.pyannote[2993].speaker SPEAKER_04
transcript.pyannote[2993].start 15925.44096875
transcript.pyannote[2993].end 15925.45784375
transcript.pyannote[2994].speaker SPEAKER_04
transcript.pyannote[2994].start 15926.82471875
transcript.pyannote[2994].end 15931.49909375
transcript.pyannote[2995].speaker SPEAKER_10
transcript.pyannote[2995].start 15938.13096875
transcript.pyannote[2995].end 15939.51471875
transcript.pyannote[2996].speaker SPEAKER_10
transcript.pyannote[2996].start 15940.42596875
transcript.pyannote[2996].end 15944.91471875
transcript.pyannote[2997].speaker SPEAKER_10
transcript.pyannote[2997].start 15945.37034375
transcript.pyannote[2997].end 15946.95659375
transcript.pyannote[2998].speaker SPEAKER_10
transcript.pyannote[2998].start 15947.51346875
transcript.pyannote[2998].end 15949.48784375
transcript.pyannote[2999].speaker SPEAKER_10
transcript.pyannote[2999].start 15953.01471875
transcript.pyannote[2999].end 15954.39846875
transcript.pyannote[3000].speaker SPEAKER_10
transcript.pyannote[3000].start 15954.53346875
transcript.pyannote[3000].end 15957.45284375
transcript.pyannote[3001].speaker SPEAKER_15
transcript.pyannote[3001].start 15958.97159375
transcript.pyannote[3001].end 15960.06846875
transcript.pyannote[3002].speaker SPEAKER_10
transcript.pyannote[3002].start 15959.14034375
transcript.pyannote[3002].end 15959.88284375
transcript.pyannote[3003].speaker SPEAKER_10
transcript.pyannote[3003].start 15960.28784375
transcript.pyannote[3003].end 15966.22784375
transcript.pyannote[3004].speaker SPEAKER_10
transcript.pyannote[3004].start 15966.78471875
transcript.pyannote[3004].end 15970.02471875
transcript.pyannote[3005].speaker SPEAKER_10
transcript.pyannote[3005].start 15970.29471875
transcript.pyannote[3005].end 15973.18034375
transcript.pyannote[3006].speaker SPEAKER_10
transcript.pyannote[3006].start 15973.21409375
transcript.pyannote[3006].end 15973.88909375
transcript.pyannote[3007].speaker SPEAKER_10
transcript.pyannote[3007].start 15975.03659375
transcript.pyannote[3007].end 15976.23471875
transcript.pyannote[3008].speaker SPEAKER_10
transcript.pyannote[3008].start 15976.55534375
transcript.pyannote[3008].end 15977.21346875
transcript.pyannote[3009].speaker SPEAKER_10
transcript.pyannote[3009].start 15977.98971875
transcript.pyannote[3009].end 15981.11159375
transcript.pyannote[3010].speaker SPEAKER_10
transcript.pyannote[3010].start 15981.75284375
transcript.pyannote[3010].end 15982.81596875
transcript.pyannote[3011].speaker SPEAKER_10
transcript.pyannote[3011].start 15983.77784375
transcript.pyannote[3011].end 15985.58346875
transcript.pyannote[3012].speaker SPEAKER_10
transcript.pyannote[3012].start 15986.10659375
transcript.pyannote[3012].end 15987.05159375
transcript.pyannote[3013].speaker SPEAKER_15
transcript.pyannote[3013].start 15987.05159375
transcript.pyannote[3013].end 15987.06846875
transcript.pyannote[3014].speaker SPEAKER_10
transcript.pyannote[3014].start 15987.87846875
transcript.pyannote[3014].end 15988.03034375
transcript.pyannote[3015].speaker SPEAKER_15
transcript.pyannote[3015].start 15988.03034375
transcript.pyannote[3015].end 15989.51534375
transcript.pyannote[3016].speaker SPEAKER_15
transcript.pyannote[3016].start 15990.05534375
transcript.pyannote[3016].end 16000.34909375
transcript.pyannote[3017].speaker SPEAKER_15
transcript.pyannote[3017].start 16000.87221875
transcript.pyannote[3017].end 16006.96409375
transcript.pyannote[3018].speaker SPEAKER_09
transcript.pyannote[3018].start 16005.10784375
transcript.pyannote[3018].end 16005.85034375
transcript.pyannote[3019].speaker SPEAKER_10
transcript.pyannote[3019].start 16005.85034375
transcript.pyannote[3019].end 16005.91784375
transcript.pyannote[3020].speaker SPEAKER_10
transcript.pyannote[3020].start 16006.96409375
transcript.pyannote[3020].end 16009.25909375
transcript.pyannote[3021].speaker SPEAKER_10
transcript.pyannote[3021].start 16009.91721875
transcript.pyannote[3021].end 16014.28784375
transcript.pyannote[3022].speaker SPEAKER_08
transcript.pyannote[3022].start 16013.02221875
transcript.pyannote[3022].end 16013.32596875
transcript.pyannote[3023].speaker SPEAKER_10
transcript.pyannote[3023].start 16014.97971875
transcript.pyannote[3023].end 16015.38471875
transcript.pyannote[3024].speaker SPEAKER_10
transcript.pyannote[3024].start 16015.92471875
transcript.pyannote[3024].end 16018.40534375
transcript.pyannote[3025].speaker SPEAKER_08
transcript.pyannote[3025].start 16016.29596875
transcript.pyannote[3025].end 16016.86971875
transcript.pyannote[3026].speaker SPEAKER_10
transcript.pyannote[3026].start 16018.59096875
transcript.pyannote[3026].end 16019.13096875
transcript.pyannote[3027].speaker SPEAKER_10
transcript.pyannote[3027].start 16019.78909375
transcript.pyannote[3027].end 16024.15971875
transcript.pyannote[3028].speaker SPEAKER_15
transcript.pyannote[3028].start 16024.78409375
transcript.pyannote[3028].end 16030.25159375
transcript.pyannote[3029].speaker SPEAKER_10
transcript.pyannote[3029].start 16029.12096875
transcript.pyannote[3029].end 16032.07409375
transcript.pyannote[3030].speaker SPEAKER_15
transcript.pyannote[3030].start 16032.07409375
transcript.pyannote[3030].end 16034.03159375
transcript.pyannote[3031].speaker SPEAKER_15
transcript.pyannote[3031].start 16034.38596875
transcript.pyannote[3031].end 16045.96221875
transcript.pyannote[3032].speaker SPEAKER_10
transcript.pyannote[3032].start 16035.73596875
transcript.pyannote[3032].end 16035.83721875
transcript.pyannote[3033].speaker SPEAKER_10
transcript.pyannote[3033].start 16035.85409375
transcript.pyannote[3033].end 16036.00596875
transcript.pyannote[3034].speaker SPEAKER_10
transcript.pyannote[3034].start 16038.38534375
transcript.pyannote[3034].end 16039.12784375
transcript.pyannote[3035].speaker SPEAKER_10
transcript.pyannote[3035].start 16041.49034375
transcript.pyannote[3035].end 16042.11471875
transcript.pyannote[3036].speaker SPEAKER_10
transcript.pyannote[3036].start 16045.96221875
transcript.pyannote[3036].end 16048.71284375
transcript.pyannote[3037].speaker SPEAKER_15
transcript.pyannote[3037].start 16047.26159375
transcript.pyannote[3037].end 16047.36284375
transcript.pyannote[3038].speaker SPEAKER_20
transcript.pyannote[3038].start 16047.36284375
transcript.pyannote[3038].end 16047.58221875
transcript.pyannote[3039].speaker SPEAKER_15
transcript.pyannote[3039].start 16047.58221875
transcript.pyannote[3039].end 16047.68346875
transcript.pyannote[3040].speaker SPEAKER_20
transcript.pyannote[3040].start 16049.05034375
transcript.pyannote[3040].end 16049.48909375
transcript.pyannote[3041].speaker SPEAKER_10
transcript.pyannote[3041].start 16050.55221875
transcript.pyannote[3041].end 16051.34534375
transcript.pyannote[3042].speaker SPEAKER_10
transcript.pyannote[3042].start 16051.36221875
transcript.pyannote[3042].end 16056.64409375
transcript.pyannote[3043].speaker SPEAKER_21
transcript.pyannote[3043].start 16056.07034375
transcript.pyannote[3043].end 16056.61034375
transcript.pyannote[3044].speaker SPEAKER_21
transcript.pyannote[3044].start 16056.64409375
transcript.pyannote[3044].end 16057.82534375
transcript.pyannote[3045].speaker SPEAKER_10
transcript.pyannote[3045].start 16057.50471875
transcript.pyannote[3045].end 16064.47409375
transcript.pyannote[3046].speaker SPEAKER_15
transcript.pyannote[3046].start 16065.21659375
transcript.pyannote[3046].end 16068.38909375
transcript.pyannote[3047].speaker SPEAKER_10
transcript.pyannote[3047].start 16065.26721875
transcript.pyannote[3047].end 16065.79034375
transcript.pyannote[3048].speaker SPEAKER_10
transcript.pyannote[3048].start 16068.16971875
transcript.pyannote[3048].end 16069.75596875
transcript.pyannote[3049].speaker SPEAKER_10
transcript.pyannote[3049].start 16069.80659375
transcript.pyannote[3049].end 16069.82346875
transcript.pyannote[3050].speaker SPEAKER_15
transcript.pyannote[3050].start 16069.82346875
transcript.pyannote[3050].end 16069.85721875
transcript.pyannote[3051].speaker SPEAKER_28
transcript.pyannote[3051].start 16069.85721875
transcript.pyannote[3051].end 16070.24534375
transcript.pyannote[3052].speaker SPEAKER_15
transcript.pyannote[3052].start 16070.22846875
transcript.pyannote[3052].end 16070.73471875
transcript.pyannote[3053].speaker SPEAKER_10
transcript.pyannote[3053].start 16070.24534375
transcript.pyannote[3053].end 16074.07596875
transcript.pyannote[3054].speaker SPEAKER_10
transcript.pyannote[3054].start 16074.51471875
transcript.pyannote[3054].end 16078.41284375
transcript.pyannote[3055].speaker SPEAKER_10
transcript.pyannote[3055].start 16079.10471875
transcript.pyannote[3055].end 16081.38284375
transcript.pyannote[3056].speaker SPEAKER_15
transcript.pyannote[3056].start 16080.85971875
transcript.pyannote[3056].end 16084.04909375
transcript.pyannote[3057].speaker SPEAKER_10
transcript.pyannote[3057].start 16083.84659375
transcript.pyannote[3057].end 16083.96471875
transcript.pyannote[3058].speaker SPEAKER_10
transcript.pyannote[3058].start 16084.04909375
transcript.pyannote[3058].end 16084.80846875
transcript.pyannote[3059].speaker SPEAKER_21
transcript.pyannote[3059].start 16084.80846875
transcript.pyannote[3059].end 16085.02784375
transcript.pyannote[3060].speaker SPEAKER_10
transcript.pyannote[3060].start 16085.02784375
transcript.pyannote[3060].end 16085.11221875
transcript.pyannote[3061].speaker SPEAKER_21
transcript.pyannote[3061].start 16085.11221875
transcript.pyannote[3061].end 16085.14596875
transcript.pyannote[3062].speaker SPEAKER_10
transcript.pyannote[3062].start 16085.14596875
transcript.pyannote[3062].end 16085.21346875
transcript.pyannote[3063].speaker SPEAKER_21
transcript.pyannote[3063].start 16085.21346875
transcript.pyannote[3063].end 16086.31034375
transcript.pyannote[3064].speaker SPEAKER_21
transcript.pyannote[3064].start 16086.59721875
transcript.pyannote[3064].end 16088.18346875
transcript.pyannote[3065].speaker SPEAKER_10
transcript.pyannote[3065].start 16088.77409375
transcript.pyannote[3065].end 16089.75284375
transcript.pyannote[3066].speaker SPEAKER_21
transcript.pyannote[3066].start 16089.75284375
transcript.pyannote[3066].end 16091.74409375
transcript.pyannote[3067].speaker SPEAKER_10
transcript.pyannote[3067].start 16090.90034375
transcript.pyannote[3067].end 16091.40659375
transcript.pyannote[3068].speaker SPEAKER_10
transcript.pyannote[3068].start 16091.74409375
transcript.pyannote[3068].end 16092.60471875
transcript.pyannote[3069].speaker SPEAKER_21
transcript.pyannote[3069].start 16092.60471875
transcript.pyannote[3069].end 16094.00534375
transcript.pyannote[3070].speaker SPEAKER_10
transcript.pyannote[3070].start 16092.63846875
transcript.pyannote[3070].end 16092.85784375
transcript.pyannote[3071].speaker SPEAKER_10
transcript.pyannote[3071].start 16094.00534375
transcript.pyannote[3071].end 16097.71784375
transcript.pyannote[3072].speaker SPEAKER_21
transcript.pyannote[3072].start 16096.04721875
transcript.pyannote[3072].end 16096.18221875
transcript.pyannote[3073].speaker SPEAKER_21
transcript.pyannote[3073].start 16097.98784375
transcript.pyannote[3073].end 16098.03846875
transcript.pyannote[3074].speaker SPEAKER_15
transcript.pyannote[3074].start 16098.03846875
transcript.pyannote[3074].end 16098.56159375
transcript.pyannote[3075].speaker SPEAKER_10
transcript.pyannote[3075].start 16098.20721875
transcript.pyannote[3075].end 16100.70471875
transcript.pyannote[3076].speaker SPEAKER_21
transcript.pyannote[3076].start 16098.56159375
transcript.pyannote[3076].end 16098.66284375
transcript.pyannote[3077].speaker SPEAKER_15
transcript.pyannote[3077].start 16100.85659375
transcript.pyannote[3077].end 16100.94096875
transcript.pyannote[3078].speaker SPEAKER_21
transcript.pyannote[3078].start 16100.94096875
transcript.pyannote[3078].end 16100.97471875
transcript.pyannote[3079].speaker SPEAKER_15
transcript.pyannote[3079].start 16100.97471875
transcript.pyannote[3079].end 16101.02534375
transcript.pyannote[3080].speaker SPEAKER_21
transcript.pyannote[3080].start 16101.02534375
transcript.pyannote[3080].end 16101.19409375
transcript.pyannote[3081].speaker SPEAKER_15
transcript.pyannote[3081].start 16101.19409375
transcript.pyannote[3081].end 16102.03784375
transcript.pyannote[3082].speaker SPEAKER_21
transcript.pyannote[3082].start 16102.03784375
transcript.pyannote[3082].end 16102.96596875
transcript.pyannote[3083].speaker SPEAKER_15
transcript.pyannote[3083].start 16102.96596875
transcript.pyannote[3083].end 16103.03346875
transcript.pyannote[3084].speaker SPEAKER_21
transcript.pyannote[3084].start 16103.03346875
transcript.pyannote[3084].end 16104.63659375
transcript.pyannote[3085].speaker SPEAKER_21
transcript.pyannote[3085].start 16105.10909375
transcript.pyannote[3085].end 16107.13409375
transcript.pyannote[3086].speaker SPEAKER_21
transcript.pyannote[3086].start 16107.52221875
transcript.pyannote[3086].end 16108.87221875
transcript.pyannote[3087].speaker SPEAKER_21
transcript.pyannote[3087].start 16109.56409375
transcript.pyannote[3087].end 16110.32346875
transcript.pyannote[3088].speaker SPEAKER_10
transcript.pyannote[3088].start 16110.32346875
transcript.pyannote[3088].end 16110.67784375
transcript.pyannote[3089].speaker SPEAKER_10
transcript.pyannote[3089].start 16111.08284375
transcript.pyannote[3089].end 16111.48784375
transcript.pyannote[3090].speaker SPEAKER_10
transcript.pyannote[3090].start 16111.77471875
transcript.pyannote[3090].end 16111.87596875
transcript.pyannote[3091].speaker SPEAKER_20
transcript.pyannote[3091].start 16111.87596875
transcript.pyannote[3091].end 16111.94346875
transcript.pyannote[3092].speaker SPEAKER_21
transcript.pyannote[3092].start 16111.94346875
transcript.pyannote[3092].end 16112.21346875
transcript.pyannote[3093].speaker SPEAKER_10
transcript.pyannote[3093].start 16112.21346875
transcript.pyannote[3093].end 16113.05721875
transcript.pyannote[3094].speaker SPEAKER_21
transcript.pyannote[3094].start 16113.05721875
transcript.pyannote[3094].end 16113.69846875
transcript.pyannote[3095].speaker SPEAKER_10
transcript.pyannote[3095].start 16113.41159375
transcript.pyannote[3095].end 16114.25534375
transcript.pyannote[3096].speaker SPEAKER_10
transcript.pyannote[3096].start 16114.59284375
transcript.pyannote[3096].end 16116.26346875
transcript.pyannote[3097].speaker SPEAKER_10
transcript.pyannote[3097].start 16116.39846875
transcript.pyannote[3097].end 16117.90034375
transcript.pyannote[3098].speaker SPEAKER_10
transcript.pyannote[3098].start 16118.22096875
transcript.pyannote[3098].end 16120.60034375
transcript.pyannote[3099].speaker SPEAKER_21
transcript.pyannote[3099].start 16118.25471875
transcript.pyannote[3099].end 16118.32221875
transcript.pyannote[3100].speaker SPEAKER_20
transcript.pyannote[3100].start 16118.32221875
transcript.pyannote[3100].end 16119.97596875
transcript.pyannote[3101].speaker SPEAKER_21
transcript.pyannote[3101].start 16119.97596875
transcript.pyannote[3101].end 16120.11096875
transcript.pyannote[3102].speaker SPEAKER_20
transcript.pyannote[3102].start 16120.11096875
transcript.pyannote[3102].end 16120.16159375
transcript.pyannote[3103].speaker SPEAKER_21
transcript.pyannote[3103].start 16120.16159375
transcript.pyannote[3103].end 16120.17846875
transcript.pyannote[3104].speaker SPEAKER_10
transcript.pyannote[3104].start 16120.83659375
transcript.pyannote[3104].end 16122.10221875
transcript.pyannote[3105].speaker SPEAKER_20
transcript.pyannote[3105].start 16122.33846875
transcript.pyannote[3105].end 16122.59159375
transcript.pyannote[3106].speaker SPEAKER_10
transcript.pyannote[3106].start 16122.59159375
transcript.pyannote[3106].end 16129.47659375
transcript.pyannote[3107].speaker SPEAKER_10
transcript.pyannote[3107].start 16129.99971875
transcript.pyannote[3107].end 16137.08721875
transcript.pyannote[3108].speaker SPEAKER_21
transcript.pyannote[3108].start 16137.01971875
transcript.pyannote[3108].end 16137.07034375
transcript.pyannote[3109].speaker SPEAKER_21
transcript.pyannote[3109].start 16137.08721875
transcript.pyannote[3109].end 16137.13784375
transcript.pyannote[3110].speaker SPEAKER_15
transcript.pyannote[3110].start 16137.13784375
transcript.pyannote[3110].end 16137.96471875
transcript.pyannote[3111].speaker SPEAKER_21
transcript.pyannote[3111].start 16137.96471875
transcript.pyannote[3111].end 16145.15346875
transcript.pyannote[3112].speaker SPEAKER_15
transcript.pyannote[3112].start 16138.85909375
transcript.pyannote[3112].end 16138.87596875
transcript.pyannote[3113].speaker SPEAKER_10
transcript.pyannote[3113].start 16138.87596875
transcript.pyannote[3113].end 16139.63534375
transcript.pyannote[3114].speaker SPEAKER_10
transcript.pyannote[3114].start 16139.92221875
transcript.pyannote[3114].end 16142.20034375
transcript.pyannote[3115].speaker SPEAKER_04
transcript.pyannote[3115].start 16142.20034375
transcript.pyannote[3115].end 16142.38596875
transcript.pyannote[3116].speaker SPEAKER_10
transcript.pyannote[3116].start 16142.38596875
transcript.pyannote[3116].end 16142.53784375
transcript.pyannote[3117].speaker SPEAKER_04
transcript.pyannote[3117].start 16142.53784375
transcript.pyannote[3117].end 16142.62221875
transcript.pyannote[3118].speaker SPEAKER_10
transcript.pyannote[3118].start 16142.62221875
transcript.pyannote[3118].end 16142.72346875
transcript.pyannote[3119].speaker SPEAKER_10
transcript.pyannote[3119].start 16145.82846875
transcript.pyannote[3119].end 16147.98846875
transcript.pyannote[3120].speaker SPEAKER_21
transcript.pyannote[3120].start 16148.35971875
transcript.pyannote[3120].end 16150.68846875
transcript.pyannote[3121].speaker SPEAKER_10
transcript.pyannote[3121].start 16149.65909375
transcript.pyannote[3121].end 16151.93721875
transcript.pyannote[3122].speaker SPEAKER_21
transcript.pyannote[3122].start 16151.36346875
transcript.pyannote[3122].end 16153.48971875
transcript.pyannote[3123].speaker SPEAKER_10
transcript.pyannote[3123].start 16153.10159375
transcript.pyannote[3123].end 16153.69221875
transcript.pyannote[3124].speaker SPEAKER_21
transcript.pyannote[3124].start 16153.69221875
transcript.pyannote[3124].end 16154.89034375
transcript.pyannote[3125].speaker SPEAKER_10
transcript.pyannote[3125].start 16153.74284375
transcript.pyannote[3125].end 16155.21096875
transcript.pyannote[3126].speaker SPEAKER_21
transcript.pyannote[3126].start 16156.12221875
transcript.pyannote[3126].end 16158.19784375
transcript.pyannote[3127].speaker SPEAKER_10
transcript.pyannote[3127].start 16159.00784375
transcript.pyannote[3127].end 16160.30721875
transcript.pyannote[3128].speaker SPEAKER_21
transcript.pyannote[3128].start 16159.95284375
transcript.pyannote[3128].end 16161.52221875
transcript.pyannote[3129].speaker SPEAKER_10
transcript.pyannote[3129].start 16161.35346875
transcript.pyannote[3129].end 16161.48846875
transcript.pyannote[3130].speaker SPEAKER_10
transcript.pyannote[3130].start 16161.52221875
transcript.pyannote[3130].end 16162.09596875
transcript.pyannote[3131].speaker SPEAKER_21
transcript.pyannote[3131].start 16162.09596875
transcript.pyannote[3131].end 16162.55159375
transcript.pyannote[3132].speaker SPEAKER_10
transcript.pyannote[3132].start 16162.65284375
transcript.pyannote[3132].end 16164.44159375
transcript.pyannote[3133].speaker SPEAKER_21
transcript.pyannote[3133].start 16165.16721875
transcript.pyannote[3133].end 16166.56784375
transcript.pyannote[3134].speaker SPEAKER_21
transcript.pyannote[3134].start 16167.20909375
transcript.pyannote[3134].end 16169.09909375
transcript.pyannote[3135].speaker SPEAKER_21
transcript.pyannote[3135].start 16169.48721875
transcript.pyannote[3135].end 16170.92159375
transcript.pyannote[3136].speaker SPEAKER_21
transcript.pyannote[3136].start 16172.45721875
transcript.pyannote[3136].end 16173.95909375
transcript.pyannote[3137].speaker SPEAKER_21
transcript.pyannote[3137].start 16174.71846875
transcript.pyannote[3137].end 16175.96721875
transcript.pyannote[3138].speaker SPEAKER_21
transcript.pyannote[3138].start 16177.89096875
transcript.pyannote[3138].end 16179.51096875
transcript.pyannote[3139].speaker SPEAKER_21
transcript.pyannote[3139].start 16179.79784375
transcript.pyannote[3139].end 16180.91159375
transcript.pyannote[3140].speaker SPEAKER_21
transcript.pyannote[3140].start 16181.35034375
transcript.pyannote[3140].end 16184.26971875
transcript.pyannote[3141].speaker SPEAKER_21
transcript.pyannote[3141].start 16184.57346875
transcript.pyannote[3141].end 16186.09221875
transcript.pyannote[3142].speaker SPEAKER_21
transcript.pyannote[3142].start 16186.64909375
transcript.pyannote[3142].end 16187.71221875
transcript.pyannote[3143].speaker SPEAKER_21
transcript.pyannote[3143].start 16188.47159375
transcript.pyannote[3143].end 16191.03659375
transcript.pyannote[3144].speaker SPEAKER_21
transcript.pyannote[3144].start 16191.52596875
transcript.pyannote[3144].end 16192.65659375
transcript.pyannote[3145].speaker SPEAKER_21
transcript.pyannote[3145].start 16192.89284375
transcript.pyannote[3145].end 16193.46659375
transcript.pyannote[3146].speaker SPEAKER_21
transcript.pyannote[3146].start 16193.73659375
transcript.pyannote[3146].end 16194.71534375
transcript.pyannote[3147].speaker SPEAKER_21
transcript.pyannote[3147].start 16195.25534375
transcript.pyannote[3147].end 16195.62659375
transcript.pyannote[3148].speaker SPEAKER_06
transcript.pyannote[3148].start 16199.25471875
transcript.pyannote[3148].end 16204.08096875
transcript.pyannote[3149].speaker SPEAKER_21
transcript.pyannote[3149].start 16203.23721875
transcript.pyannote[3149].end 16204.92471875
transcript.pyannote[3150].speaker SPEAKER_21
transcript.pyannote[3150].start 16205.39721875
transcript.pyannote[3150].end 16206.08909375
transcript.pyannote[3151].speaker SPEAKER_06
transcript.pyannote[3151].start 16206.08909375
transcript.pyannote[3151].end 16206.10596875
transcript.pyannote[3152].speaker SPEAKER_06
transcript.pyannote[3152].start 16211.08409375
transcript.pyannote[3152].end 16241.07096875
transcript.pyannote[3153].speaker SPEAKER_06
transcript.pyannote[3153].start 16242.10034375
transcript.pyannote[3153].end 16283.84909375
transcript.pyannote[3154].speaker SPEAKER_06
transcript.pyannote[3154].start 16284.69284375
transcript.pyannote[3154].end 16331.99346875
transcript.pyannote[3155].speaker SPEAKER_06
transcript.pyannote[3155].start 16333.17471875
transcript.pyannote[3155].end 16335.94221875
transcript.pyannote[3156].speaker SPEAKER_06
transcript.pyannote[3156].start 16336.02659375
transcript.pyannote[3156].end 16357.79534375
transcript.pyannote[3157].speaker SPEAKER_15
transcript.pyannote[3157].start 16358.48721875
transcript.pyannote[3157].end 16362.09846875
transcript.pyannote[3158].speaker SPEAKER_15
transcript.pyannote[3158].start 16362.48659375
transcript.pyannote[3158].end 16366.31721875
transcript.pyannote[3159].speaker SPEAKER_15
transcript.pyannote[3159].start 16366.87409375
transcript.pyannote[3159].end 16369.05096875
transcript.pyannote[3160].speaker SPEAKER_15
transcript.pyannote[3160].start 16369.64159375
transcript.pyannote[3160].end 16371.86909375
transcript.pyannote[3161].speaker SPEAKER_15
transcript.pyannote[3161].start 16372.29096875
transcript.pyannote[3161].end 16374.90659375
transcript.pyannote[3162].speaker SPEAKER_06
transcript.pyannote[3162].start 16374.11346875
transcript.pyannote[3162].end 16374.16409375
transcript.pyannote[3163].speaker SPEAKER_06
transcript.pyannote[3163].start 16375.31159375
transcript.pyannote[3163].end 16378.01159375
transcript.pyannote[3164].speaker SPEAKER_15
transcript.pyannote[3164].start 16377.75846875
transcript.pyannote[3164].end 16383.31034375
transcript.pyannote[3165].speaker SPEAKER_06
transcript.pyannote[3165].start 16383.31034375
transcript.pyannote[3165].end 16391.76471875
transcript.pyannote[3166].speaker SPEAKER_15
transcript.pyannote[3166].start 16392.84471875
transcript.pyannote[3166].end 16408.18409375
transcript.pyannote[3167].speaker SPEAKER_06
transcript.pyannote[3167].start 16404.23534375
transcript.pyannote[3167].end 16405.14659375
transcript.pyannote[3168].speaker SPEAKER_06
transcript.pyannote[3168].start 16407.91409375
transcript.pyannote[3168].end 16435.55534375
transcript.pyannote[3169].speaker SPEAKER_06
transcript.pyannote[3169].start 16436.04471875
transcript.pyannote[3169].end 16436.06159375
transcript.pyannote[3170].speaker SPEAKER_15
transcript.pyannote[3170].start 16436.06159375
transcript.pyannote[3170].end 16436.88846875
transcript.pyannote[3171].speaker SPEAKER_06
transcript.pyannote[3171].start 16436.88846875
transcript.pyannote[3171].end 16439.63909375
transcript.pyannote[3172].speaker SPEAKER_21
transcript.pyannote[3172].start 16440.29721875
transcript.pyannote[3172].end 16443.67221875
transcript.pyannote[3173].speaker SPEAKER_21
transcript.pyannote[3173].start 16443.97596875
transcript.pyannote[3173].end 16444.22909375
transcript.pyannote[3174].speaker SPEAKER_21
transcript.pyannote[3174].start 16446.50721875
transcript.pyannote[3174].end 16447.62096875
transcript.pyannote[3175].speaker SPEAKER_21
transcript.pyannote[3175].start 16447.82346875
transcript.pyannote[3175].end 16452.80159375
transcript.pyannote[3176].speaker SPEAKER_21
transcript.pyannote[3176].start 16453.66221875
transcript.pyannote[3176].end 16455.70409375
transcript.pyannote[3177].speaker SPEAKER_17
transcript.pyannote[3177].start 16465.60971875
transcript.pyannote[3177].end 16468.63034375
transcript.pyannote[3178].speaker SPEAKER_17
transcript.pyannote[3178].start 16468.83284375
transcript.pyannote[3178].end 16469.94659375
transcript.pyannote[3179].speaker SPEAKER_17
transcript.pyannote[3179].start 16477.45596875
transcript.pyannote[3179].end 16482.24846875
transcript.pyannote[3180].speaker SPEAKER_17
transcript.pyannote[3180].start 16482.80534375
transcript.pyannote[3180].end 16492.37346875
transcript.pyannote[3181].speaker SPEAKER_17
transcript.pyannote[3181].start 16495.47846875
transcript.pyannote[3181].end 16496.00159375
transcript.pyannote[3182].speaker SPEAKER_17
transcript.pyannote[3182].start 16497.16596875
transcript.pyannote[3182].end 16504.57409375
transcript.pyannote[3183].speaker SPEAKER_29
transcript.pyannote[3183].start 16498.26284375
transcript.pyannote[3183].end 16498.88721875
transcript.pyannote[3184].speaker SPEAKER_29
transcript.pyannote[3184].start 16500.03471875
transcript.pyannote[3184].end 16501.21596875
transcript.pyannote[3185].speaker SPEAKER_29
transcript.pyannote[3185].start 16504.57409375
transcript.pyannote[3185].end 16504.91159375
transcript.pyannote[3186].speaker SPEAKER_17
transcript.pyannote[3186].start 16505.97471875
transcript.pyannote[3186].end 16523.86221875
transcript.pyannote[3187].speaker SPEAKER_29
transcript.pyannote[3187].start 16511.17221875
transcript.pyannote[3187].end 16511.32409375
transcript.pyannote[3188].speaker SPEAKER_17
transcript.pyannote[3188].start 16524.21659375
transcript.pyannote[3188].end 16527.79409375
transcript.pyannote[3189].speaker SPEAKER_17
transcript.pyannote[3189].start 16528.13159375
transcript.pyannote[3189].end 16532.45159375
transcript.pyannote[3190].speaker SPEAKER_15
transcript.pyannote[3190].start 16532.70471875
transcript.pyannote[3190].end 16545.19221875
transcript.pyannote[3191].speaker SPEAKER_15
transcript.pyannote[3191].start 16545.36096875
transcript.pyannote[3191].end 16550.23784375
transcript.pyannote[3192].speaker SPEAKER_17
transcript.pyannote[3192].start 16548.58409375
transcript.pyannote[3192].end 16560.12659375
transcript.pyannote[3193].speaker SPEAKER_15
transcript.pyannote[3193].start 16558.77659375
transcript.pyannote[3193].end 16566.55596875
transcript.pyannote[3194].speaker SPEAKER_15
transcript.pyannote[3194].start 16566.91034375
transcript.pyannote[3194].end 16567.68659375
transcript.pyannote[3195].speaker SPEAKER_15
transcript.pyannote[3195].start 16568.31096875
transcript.pyannote[3195].end 16571.46659375
transcript.pyannote[3196].speaker SPEAKER_15
transcript.pyannote[3196].start 16571.83784375
transcript.pyannote[3196].end 16586.90721875
transcript.pyannote[3197].speaker SPEAKER_15
transcript.pyannote[3197].start 16587.61596875
transcript.pyannote[3197].end 16591.02471875
transcript.pyannote[3198].speaker SPEAKER_17
transcript.pyannote[3198].start 16589.20221875
transcript.pyannote[3198].end 16590.50159375
transcript.pyannote[3199].speaker SPEAKER_17
transcript.pyannote[3199].start 16590.82221875
transcript.pyannote[3199].end 16591.00784375
transcript.pyannote[3200].speaker SPEAKER_17
transcript.pyannote[3200].start 16591.02471875
transcript.pyannote[3200].end 16593.23534375
transcript.pyannote[3201].speaker SPEAKER_17
transcript.pyannote[3201].start 16594.09596875
transcript.pyannote[3201].end 16596.71159375
transcript.pyannote[3202].speaker SPEAKER_17
transcript.pyannote[3202].start 16596.74534375
transcript.pyannote[3202].end 16596.76221875
transcript.pyannote[3203].speaker SPEAKER_17
transcript.pyannote[3203].start 16596.77909375
transcript.pyannote[3203].end 16616.47221875
transcript.pyannote[3204].speaker SPEAKER_15
transcript.pyannote[3204].start 16596.89721875
transcript.pyannote[3204].end 16597.50471875
transcript.pyannote[3205].speaker SPEAKER_15
transcript.pyannote[3205].start 16601.11596875
transcript.pyannote[3205].end 16601.55471875
transcript.pyannote[3206].speaker SPEAKER_15
transcript.pyannote[3206].start 16607.24159375
transcript.pyannote[3206].end 16607.27534375
transcript.pyannote[3207].speaker SPEAKER_02
transcript.pyannote[3207].start 16607.27534375
transcript.pyannote[3207].end 16608.65909375
transcript.pyannote[3208].speaker SPEAKER_15
transcript.pyannote[3208].start 16608.65909375
transcript.pyannote[3208].end 16608.86159375
transcript.pyannote[3209].speaker SPEAKER_17
transcript.pyannote[3209].start 16617.02909375
transcript.pyannote[3209].end 16620.72471875
transcript.pyannote[3210].speaker SPEAKER_29
transcript.pyannote[3210].start 16622.31096875
transcript.pyannote[3210].end 16622.53034375
transcript.pyannote[3211].speaker SPEAKER_17
transcript.pyannote[3211].start 16622.96909375
transcript.pyannote[3211].end 16624.52159375
transcript.pyannote[3212].speaker SPEAKER_29
transcript.pyannote[3212].start 16623.18846875
transcript.pyannote[3212].end 16623.77909375
transcript.pyannote[3213].speaker SPEAKER_17
transcript.pyannote[3213].start 16624.90971875
transcript.pyannote[3213].end 16627.30596875
transcript.pyannote[3214].speaker SPEAKER_17
transcript.pyannote[3214].start 16627.39034375
transcript.pyannote[3214].end 16638.30846875
transcript.pyannote[3215].speaker SPEAKER_17
transcript.pyannote[3215].start 16639.28721875
transcript.pyannote[3215].end 16640.40096875
transcript.pyannote[3216].speaker SPEAKER_17
transcript.pyannote[3216].start 16640.51909375
transcript.pyannote[3216].end 16640.53596875
transcript.pyannote[3217].speaker SPEAKER_15
transcript.pyannote[3217].start 16640.53596875
transcript.pyannote[3217].end 16643.67471875
transcript.pyannote[3218].speaker SPEAKER_17
transcript.pyannote[3218].start 16643.67471875
transcript.pyannote[3218].end 16647.30284375
transcript.pyannote[3219].speaker SPEAKER_17
transcript.pyannote[3219].start 16647.57284375
transcript.pyannote[3219].end 16648.48409375
transcript.pyannote[3220].speaker SPEAKER_15
transcript.pyannote[3220].start 16647.69096875
transcript.pyannote[3220].end 16651.28534375
transcript.pyannote[3221].speaker SPEAKER_17
transcript.pyannote[3221].start 16651.08284375
transcript.pyannote[3221].end 16652.24721875
transcript.pyannote[3222].speaker SPEAKER_15
transcript.pyannote[3222].start 16653.02346875
transcript.pyannote[3222].end 16664.04284375
transcript.pyannote[3223].speaker SPEAKER_17
transcript.pyannote[3223].start 16655.57159375
transcript.pyannote[3223].end 16656.60096875
transcript.pyannote[3224].speaker SPEAKER_17
transcript.pyannote[3224].start 16658.30534375
transcript.pyannote[3224].end 16660.19534375
transcript.pyannote[3225].speaker SPEAKER_17
transcript.pyannote[3225].start 16661.30909375
transcript.pyannote[3225].end 16665.34221875
transcript.pyannote[3226].speaker SPEAKER_17
transcript.pyannote[3226].start 16665.93284375
transcript.pyannote[3226].end 16677.15471875
transcript.pyannote[3227].speaker SPEAKER_17
transcript.pyannote[3227].start 16677.69471875
transcript.pyannote[3227].end 16679.06159375
transcript.pyannote[3228].speaker SPEAKER_29
transcript.pyannote[3228].start 16678.90971875
transcript.pyannote[3228].end 16679.01096875
transcript.pyannote[3229].speaker SPEAKER_29
transcript.pyannote[3229].start 16679.06159375
transcript.pyannote[3229].end 16679.11221875
transcript.pyannote[3230].speaker SPEAKER_17
transcript.pyannote[3230].start 16679.11221875
transcript.pyannote[3230].end 16680.56346875
transcript.pyannote[3231].speaker SPEAKER_29
transcript.pyannote[3231].start 16679.12909375
transcript.pyannote[3231].end 16679.26409375
transcript.pyannote[3232].speaker SPEAKER_17
transcript.pyannote[3232].start 16680.68159375
transcript.pyannote[3232].end 16686.46971875
transcript.pyannote[3233].speaker SPEAKER_15
transcript.pyannote[3233].start 16681.12034375
transcript.pyannote[3233].end 16681.72784375
transcript.pyannote[3234].speaker SPEAKER_15
transcript.pyannote[3234].start 16682.11596875
transcript.pyannote[3234].end 16683.07784375
transcript.pyannote[3235].speaker SPEAKER_15
transcript.pyannote[3235].start 16684.86659375
transcript.pyannote[3235].end 16688.96721875
transcript.pyannote[3236].speaker SPEAKER_17
transcript.pyannote[3236].start 16686.90846875
transcript.pyannote[3236].end 16693.06784375
transcript.pyannote[3237].speaker SPEAKER_15
transcript.pyannote[3237].start 16692.25784375
transcript.pyannote[3237].end 16703.76659375
transcript.pyannote[3238].speaker SPEAKER_17
transcript.pyannote[3238].start 16695.76784375
transcript.pyannote[3238].end 16697.30346875
transcript.pyannote[3239].speaker SPEAKER_17
transcript.pyannote[3239].start 16697.75909375
transcript.pyannote[3239].end 16697.87721875
transcript.pyannote[3240].speaker SPEAKER_17
transcript.pyannote[3240].start 16699.10909375
transcript.pyannote[3240].end 16700.44221875
transcript.pyannote[3241].speaker SPEAKER_17
transcript.pyannote[3241].start 16701.08346875
transcript.pyannote[3241].end 16701.50534375
transcript.pyannote[3242].speaker SPEAKER_15
transcript.pyannote[3242].start 16704.49221875
transcript.pyannote[3242].end 16709.36909375
transcript.pyannote[3243].speaker SPEAKER_04
transcript.pyannote[3243].start 16704.88034375
transcript.pyannote[3243].end 16705.03221875
transcript.pyannote[3244].speaker SPEAKER_17
transcript.pyannote[3244].start 16705.03221875
transcript.pyannote[3244].end 16705.97721875
transcript.pyannote[3245].speaker SPEAKER_04
transcript.pyannote[3245].start 16705.97721875
transcript.pyannote[3245].end 16706.66909375
transcript.pyannote[3246].speaker SPEAKER_15
transcript.pyannote[3246].start 16709.65596875
transcript.pyannote[3246].end 16713.82409375
transcript.pyannote[3247].speaker SPEAKER_17
transcript.pyannote[3247].start 16712.25471875
transcript.pyannote[3247].end 16714.51596875
transcript.pyannote[3248].speaker SPEAKER_17
transcript.pyannote[3248].start 16715.49471875
transcript.pyannote[3248].end 16717.19909375
transcript.pyannote[3249].speaker SPEAKER_17
transcript.pyannote[3249].start 16717.62096875
transcript.pyannote[3249].end 16730.73284375
transcript.pyannote[3250].speaker SPEAKER_19
transcript.pyannote[3250].start 16730.36159375
transcript.pyannote[3250].end 16736.03159375
transcript.pyannote[3251].speaker SPEAKER_17
transcript.pyannote[3251].start 16731.52596875
transcript.pyannote[3251].end 16744.70534375
transcript.pyannote[3252].speaker SPEAKER_15
transcript.pyannote[3252].start 16736.03159375
transcript.pyannote[3252].end 16738.56284375
transcript.pyannote[3253].speaker SPEAKER_17
transcript.pyannote[3253].start 16744.84034375
transcript.pyannote[3253].end 16747.42221875
transcript.pyannote[3254].speaker SPEAKER_17
transcript.pyannote[3254].start 16747.72596875
transcript.pyannote[3254].end 16748.26596875
transcript.pyannote[3255].speaker SPEAKER_17
transcript.pyannote[3255].start 16748.85659375
transcript.pyannote[3255].end 16749.95346875
transcript.pyannote[3256].speaker SPEAKER_15
transcript.pyannote[3256].start 16750.57784375
transcript.pyannote[3256].end 16751.48909375
transcript.pyannote[3257].speaker SPEAKER_17
transcript.pyannote[3257].start 16752.53534375
transcript.pyannote[3257].end 16756.48409375
transcript.pyannote[3258].speaker SPEAKER_17
transcript.pyannote[3258].start 16757.37846875
transcript.pyannote[3258].end 16763.30159375
transcript.pyannote[3259].speaker SPEAKER_15
transcript.pyannote[3259].start 16760.46659375
transcript.pyannote[3259].end 16760.48346875
transcript.pyannote[3260].speaker SPEAKER_29
transcript.pyannote[3260].start 16760.48346875
transcript.pyannote[3260].end 16760.58471875
transcript.pyannote[3261].speaker SPEAKER_17
transcript.pyannote[3261].start 16763.63909375
transcript.pyannote[3261].end 16771.90784375
transcript.pyannote[3262].speaker SPEAKER_29
transcript.pyannote[3262].start 16766.64284375
transcript.pyannote[3262].end 16766.91284375
transcript.pyannote[3263].speaker SPEAKER_17
transcript.pyannote[3263].start 16773.49409375
transcript.pyannote[3263].end 16775.31659375
transcript.pyannote[3264].speaker SPEAKER_15
transcript.pyannote[3264].start 16775.77221875
transcript.pyannote[3264].end 16776.64971875
transcript.pyannote[3265].speaker SPEAKER_17
transcript.pyannote[3265].start 16776.64971875
transcript.pyannote[3265].end 16789.49159375
transcript.pyannote[3266].speaker SPEAKER_15
transcript.pyannote[3266].start 16789.49159375
transcript.pyannote[3266].end 16789.52534375
transcript.pyannote[3267].speaker SPEAKER_20
transcript.pyannote[3267].start 16789.52534375
transcript.pyannote[3267].end 16789.54221875
transcript.pyannote[3268].speaker SPEAKER_15
transcript.pyannote[3268].start 16789.54221875
transcript.pyannote[3268].end 16790.18346875
transcript.pyannote[3269].speaker SPEAKER_20
transcript.pyannote[3269].start 16790.18346875
transcript.pyannote[3269].end 16790.26784375
transcript.pyannote[3270].speaker SPEAKER_15
transcript.pyannote[3270].start 16791.34784375
transcript.pyannote[3270].end 16792.02284375
transcript.pyannote[3271].speaker SPEAKER_17
transcript.pyannote[3271].start 16792.02284375
transcript.pyannote[3271].end 16810.02846875
transcript.pyannote[3272].speaker SPEAKER_15
transcript.pyannote[3272].start 16794.04784375
transcript.pyannote[3272].end 16794.38534375
transcript.pyannote[3273].speaker SPEAKER_14
transcript.pyannote[3273].start 16796.46096875
transcript.pyannote[3273].end 16796.51159375
transcript.pyannote[3274].speaker SPEAKER_20
transcript.pyannote[3274].start 16796.51159375
transcript.pyannote[3274].end 16796.91659375
transcript.pyannote[3275].speaker SPEAKER_14
transcript.pyannote[3275].start 16796.91659375
transcript.pyannote[3275].end 16796.95034375
transcript.pyannote[3276].speaker SPEAKER_14
transcript.pyannote[3276].start 16799.34659375
transcript.pyannote[3276].end 16800.94971875
transcript.pyannote[3277].speaker SPEAKER_21
transcript.pyannote[3277].start 16800.94971875
transcript.pyannote[3277].end 16808.96534375
transcript.pyannote[3278].speaker SPEAKER_15
transcript.pyannote[3278].start 16808.96534375
transcript.pyannote[3278].end 16809.03284375
transcript.pyannote[3279].speaker SPEAKER_21
transcript.pyannote[3279].start 16809.03284375
transcript.pyannote[3279].end 16809.08346875
transcript.pyannote[3280].speaker SPEAKER_15
transcript.pyannote[3280].start 16809.08346875
transcript.pyannote[3280].end 16809.75846875
transcript.pyannote[3281].speaker SPEAKER_21
transcript.pyannote[3281].start 16809.75846875
transcript.pyannote[3281].end 16809.85971875
transcript.pyannote[3282].speaker SPEAKER_15
transcript.pyannote[3282].start 16809.85971875
transcript.pyannote[3282].end 16809.91034375
transcript.pyannote[3283].speaker SPEAKER_17
transcript.pyannote[3283].start 16810.19721875
transcript.pyannote[3283].end 16813.30221875
transcript.pyannote[3284].speaker SPEAKER_21
transcript.pyannote[3284].start 16811.09159375
transcript.pyannote[3284].end 16811.12534375
transcript.pyannote[3285].speaker SPEAKER_17
transcript.pyannote[3285].start 16814.06159375
transcript.pyannote[3285].end 16814.07846875
transcript.pyannote[3286].speaker SPEAKER_21
transcript.pyannote[3286].start 16814.07846875
transcript.pyannote[3286].end 16814.63534375
transcript.pyannote[3287].speaker SPEAKER_17
transcript.pyannote[3287].start 16814.63534375
transcript.pyannote[3287].end 16826.17784375
transcript.pyannote[3288].speaker SPEAKER_21
transcript.pyannote[3288].start 16815.17534375
transcript.pyannote[3288].end 16816.17096875
transcript.pyannote[3289].speaker SPEAKER_20
transcript.pyannote[3289].start 16816.17096875
transcript.pyannote[3289].end 16816.25534375
transcript.pyannote[3290].speaker SPEAKER_21
transcript.pyannote[3290].start 16818.71909375
transcript.pyannote[3290].end 16818.73596875
transcript.pyannote[3291].speaker SPEAKER_20
transcript.pyannote[3291].start 16818.73596875
transcript.pyannote[3291].end 16821.40221875
transcript.pyannote[3292].speaker SPEAKER_20
transcript.pyannote[3292].start 16826.17784375
transcript.pyannote[3292].end 16827.17346875
transcript.pyannote[3293].speaker SPEAKER_17
transcript.pyannote[3293].start 16826.61659375
transcript.pyannote[3293].end 16838.20971875
transcript.pyannote[3294].speaker SPEAKER_20
transcript.pyannote[3294].start 16830.17721875
transcript.pyannote[3294].end 16831.35846875
transcript.pyannote[3295].speaker SPEAKER_20
transcript.pyannote[3295].start 16832.28659375
transcript.pyannote[3295].end 16838.74971875
transcript.pyannote[3296].speaker SPEAKER_17
transcript.pyannote[3296].start 16838.54721875
transcript.pyannote[3296].end 16843.86284375
transcript.pyannote[3297].speaker SPEAKER_21
transcript.pyannote[3297].start 16843.52534375
transcript.pyannote[3297].end 16843.57596875
transcript.pyannote[3298].speaker SPEAKER_21
transcript.pyannote[3298].start 16843.77846875
transcript.pyannote[3298].end 16845.38159375
transcript.pyannote[3299].speaker SPEAKER_21
transcript.pyannote[3299].start 16846.00596875
transcript.pyannote[3299].end 16846.51221875
transcript.pyannote[3300].speaker SPEAKER_21
transcript.pyannote[3300].start 16846.95096875
transcript.pyannote[3300].end 16849.65096875
transcript.pyannote[3301].speaker SPEAKER_17
transcript.pyannote[3301].start 16849.06034375
transcript.pyannote[3301].end 16849.27971875
transcript.pyannote[3302].speaker SPEAKER_17
transcript.pyannote[3302].start 16849.49909375
transcript.pyannote[3302].end 16850.14034375
transcript.pyannote[3303].speaker SPEAKER_21
transcript.pyannote[3303].start 16850.27534375
transcript.pyannote[3303].end 16851.76034375
transcript.pyannote[3304].speaker SPEAKER_17
transcript.pyannote[3304].start 16853.07659375
transcript.pyannote[3304].end 16855.64159375
transcript.pyannote[3305].speaker SPEAKER_21
transcript.pyannote[3305].start 16854.39284375
transcript.pyannote[3305].end 16854.94971875
transcript.pyannote[3306].speaker SPEAKER_21
transcript.pyannote[3306].start 16855.87784375
transcript.pyannote[3306].end 16856.94096875
transcript.pyannote[3307].speaker SPEAKER_17
transcript.pyannote[3307].start 16857.44721875
transcript.pyannote[3307].end 16857.49784375
transcript.pyannote[3308].speaker SPEAKER_17
transcript.pyannote[3308].start 16857.75096875
transcript.pyannote[3308].end 16859.03346875
transcript.pyannote[3309].speaker SPEAKER_17
transcript.pyannote[3309].start 16859.67471875
transcript.pyannote[3309].end 16861.02471875
transcript.pyannote[3310].speaker SPEAKER_21
transcript.pyannote[3310].start 16865.00721875
transcript.pyannote[3310].end 16867.03221875
transcript.pyannote[3311].speaker SPEAKER_21
transcript.pyannote[3311].start 16876.63409375
transcript.pyannote[3311].end 16877.66346875
transcript.pyannote[3312].speaker SPEAKER_21
transcript.pyannote[3312].start 16877.79846875
transcript.pyannote[3312].end 16879.40159375
transcript.pyannote[3313].speaker SPEAKER_21
transcript.pyannote[3313].start 16880.05971875
transcript.pyannote[3313].end 16881.00471875
transcript.pyannote[3314].speaker SPEAKER_21
transcript.pyannote[3314].start 16881.47721875
transcript.pyannote[3314].end 16882.38846875
transcript.pyannote[3315].speaker SPEAKER_18
transcript.pyannote[3315].start 16887.94034375
transcript.pyannote[3315].end 16888.56471875
transcript.pyannote[3316].speaker SPEAKER_18
transcript.pyannote[3316].start 16889.03721875
transcript.pyannote[3316].end 16890.18471875
transcript.pyannote[3317].speaker SPEAKER_18
transcript.pyannote[3317].start 16891.06221875
transcript.pyannote[3317].end 16892.53034375
transcript.pyannote[3318].speaker SPEAKER_18
transcript.pyannote[3318].start 16892.86784375
transcript.pyannote[3318].end 16893.34034375
transcript.pyannote[3319].speaker SPEAKER_18
transcript.pyannote[3319].start 16893.57659375
transcript.pyannote[3319].end 16894.20096875
transcript.pyannote[3320].speaker SPEAKER_18
transcript.pyannote[3320].start 16894.55534375
transcript.pyannote[3320].end 16895.63534375
transcript.pyannote[3321].speaker SPEAKER_18
transcript.pyannote[3321].start 16896.00659375
transcript.pyannote[3321].end 16900.25909375
transcript.pyannote[3322].speaker SPEAKER_18
transcript.pyannote[3322].start 16901.79471875
transcript.pyannote[3322].end 16903.83659375
transcript.pyannote[3323].speaker SPEAKER_18
transcript.pyannote[3323].start 16904.08971875
transcript.pyannote[3323].end 16908.56159375
transcript.pyannote[3324].speaker SPEAKER_18
transcript.pyannote[3324].start 16908.79784375
transcript.pyannote[3324].end 16909.57409375
transcript.pyannote[3325].speaker SPEAKER_18
transcript.pyannote[3325].start 16909.59096875
transcript.pyannote[3325].end 16924.76159375
transcript.pyannote[3326].speaker SPEAKER_18
transcript.pyannote[3326].start 16925.38596875
transcript.pyannote[3326].end 16929.19971875
transcript.pyannote[3327].speaker SPEAKER_18
transcript.pyannote[3327].start 16929.35159375
transcript.pyannote[3327].end 16932.23721875
transcript.pyannote[3328].speaker SPEAKER_18
transcript.pyannote[3328].start 16932.64221875
transcript.pyannote[3328].end 16935.57846875
transcript.pyannote[3329].speaker SPEAKER_18
transcript.pyannote[3329].start 16935.86534375
transcript.pyannote[3329].end 16936.33784375
transcript.pyannote[3330].speaker SPEAKER_18
transcript.pyannote[3330].start 16936.74284375
transcript.pyannote[3330].end 16943.67846875
transcript.pyannote[3331].speaker SPEAKER_27
transcript.pyannote[3331].start 16943.76284375
transcript.pyannote[3331].end 16945.34909375
transcript.pyannote[3332].speaker SPEAKER_27
transcript.pyannote[3332].start 16945.61909375
transcript.pyannote[3332].end 16952.38596875
transcript.pyannote[3333].speaker SPEAKER_18
transcript.pyannote[3333].start 16950.58034375
transcript.pyannote[3333].end 16951.00221875
transcript.pyannote[3334].speaker SPEAKER_27
transcript.pyannote[3334].start 16953.02721875
transcript.pyannote[3334].end 16955.03534375
transcript.pyannote[3335].speaker SPEAKER_18
transcript.pyannote[3335].start 16955.13659375
transcript.pyannote[3335].end 16955.62596875
transcript.pyannote[3336].speaker SPEAKER_27
transcript.pyannote[3336].start 16955.79471875
transcript.pyannote[3336].end 16959.16971875
transcript.pyannote[3337].speaker SPEAKER_27
transcript.pyannote[3337].start 16959.35534375
transcript.pyannote[3337].end 16966.96596875
transcript.pyannote[3338].speaker SPEAKER_27
transcript.pyannote[3338].start 16967.32034375
transcript.pyannote[3338].end 16974.34034375
transcript.pyannote[3339].speaker SPEAKER_27
transcript.pyannote[3339].start 16974.82971875
transcript.pyannote[3339].end 16981.47846875
transcript.pyannote[3340].speaker SPEAKER_27
transcript.pyannote[3340].start 16981.52909375
transcript.pyannote[3340].end 16985.14034375
transcript.pyannote[3341].speaker SPEAKER_27
transcript.pyannote[3341].start 16985.44409375
transcript.pyannote[3341].end 16986.23721875
transcript.pyannote[3342].speaker SPEAKER_27
transcript.pyannote[3342].start 16986.54096875
transcript.pyannote[3342].end 16991.65409375
transcript.pyannote[3343].speaker SPEAKER_18
transcript.pyannote[3343].start 16992.04221875
transcript.pyannote[3343].end 17002.85909375
transcript.pyannote[3344].speaker SPEAKER_15
transcript.pyannote[3344].start 17003.43284375
transcript.pyannote[3344].end 17007.14534375
transcript.pyannote[3345].speaker SPEAKER_15
transcript.pyannote[3345].start 17007.76971875
transcript.pyannote[3345].end 17017.84409375
transcript.pyannote[3346].speaker SPEAKER_18
transcript.pyannote[3346].start 17018.02971875
transcript.pyannote[3346].end 17024.71221875
transcript.pyannote[3347].speaker SPEAKER_21
transcript.pyannote[3347].start 17024.99909375
transcript.pyannote[3347].end 17026.55159375
transcript.pyannote[3348].speaker SPEAKER_18
transcript.pyannote[3348].start 17025.08346875
transcript.pyannote[3348].end 17025.58971875
transcript.pyannote[3349].speaker SPEAKER_18
transcript.pyannote[3349].start 17033.30159375
transcript.pyannote[3349].end 17035.12409375
transcript.pyannote[3350].speaker SPEAKER_18
transcript.pyannote[3350].start 17035.52909375
transcript.pyannote[3350].end 17041.89096875
transcript.pyannote[3351].speaker SPEAKER_18
transcript.pyannote[3351].start 17042.14409375
transcript.pyannote[3351].end 17046.19409375
transcript.pyannote[3352].speaker SPEAKER_18
transcript.pyannote[3352].start 17046.59909375
transcript.pyannote[3352].end 17049.31596875
transcript.pyannote[3353].speaker SPEAKER_18
transcript.pyannote[3353].start 17049.45096875
transcript.pyannote[3353].end 17053.21409375
transcript.pyannote[3354].speaker SPEAKER_18
transcript.pyannote[3354].start 17053.65284375
transcript.pyannote[3354].end 17066.12346875
transcript.pyannote[3355].speaker SPEAKER_18
transcript.pyannote[3355].start 17066.44409375
transcript.pyannote[3355].end 17079.13409375
transcript.pyannote[3356].speaker SPEAKER_18
transcript.pyannote[3356].start 17079.53909375
transcript.pyannote[3356].end 17083.65659375
transcript.pyannote[3357].speaker SPEAKER_18
transcript.pyannote[3357].start 17083.87596875
transcript.pyannote[3357].end 17092.81971875
transcript.pyannote[3358].speaker SPEAKER_18
transcript.pyannote[3358].start 17093.34284375
transcript.pyannote[3358].end 17095.45221875
transcript.pyannote[3359].speaker SPEAKER_18
transcript.pyannote[3359].start 17095.89096875
transcript.pyannote[3359].end 17099.78909375
transcript.pyannote[3360].speaker SPEAKER_18
transcript.pyannote[3360].start 17100.02534375
transcript.pyannote[3360].end 17102.10096875
transcript.pyannote[3361].speaker SPEAKER_18
transcript.pyannote[3361].start 17102.26971875
transcript.pyannote[3361].end 17142.41534375
transcript.pyannote[3362].speaker SPEAKER_35
transcript.pyannote[3362].start 17143.15784375
transcript.pyannote[3362].end 17143.59659375
transcript.pyannote[3363].speaker SPEAKER_35
transcript.pyannote[3363].start 17143.78221875
transcript.pyannote[3363].end 17162.02409375
transcript.pyannote[3364].speaker SPEAKER_18
transcript.pyannote[3364].start 17157.68721875
transcript.pyannote[3364].end 17158.22721875
transcript.pyannote[3365].speaker SPEAKER_18
transcript.pyannote[3365].start 17162.24346875
transcript.pyannote[3365].end 17166.83346875
transcript.pyannote[3366].speaker SPEAKER_18
transcript.pyannote[3366].start 17167.25534375
transcript.pyannote[3366].end 17172.65534375
transcript.pyannote[3367].speaker SPEAKER_15
transcript.pyannote[3367].start 17171.25471875
transcript.pyannote[3367].end 17173.76909375
transcript.pyannote[3368].speaker SPEAKER_18
transcript.pyannote[3368].start 17173.76909375
transcript.pyannote[3368].end 17184.53534375
transcript.pyannote[3369].speaker SPEAKER_15
transcript.pyannote[3369].start 17173.81971875
transcript.pyannote[3369].end 17174.03909375
transcript.pyannote[3370].speaker SPEAKER_21
transcript.pyannote[3370].start 17186.67846875
transcript.pyannote[3370].end 17188.34909375
transcript.pyannote[3371].speaker SPEAKER_21
transcript.pyannote[3371].start 17188.55159375
transcript.pyannote[3371].end 17189.49659375
transcript.pyannote[3372].speaker SPEAKER_21
transcript.pyannote[3372].start 17191.84221875
transcript.pyannote[3372].end 17205.42659375
transcript.pyannote[3373].speaker SPEAKER_21
transcript.pyannote[3373].start 17206.75971875
transcript.pyannote[3373].end 17207.29971875
transcript.pyannote[3374].speaker SPEAKER_35
transcript.pyannote[3374].start 17207.45159375
transcript.pyannote[3374].end 17207.97471875
transcript.pyannote[3375].speaker SPEAKER_21
transcript.pyannote[3375].start 17209.40909375
transcript.pyannote[3375].end 17211.68721875
transcript.pyannote[3376].speaker SPEAKER_16
transcript.pyannote[3376].start 17220.22596875
transcript.pyannote[3376].end 17221.98096875
transcript.pyannote[3377].speaker SPEAKER_21
transcript.pyannote[3377].start 17221.98096875
transcript.pyannote[3377].end 17222.92596875
transcript.pyannote[3378].speaker SPEAKER_16
transcript.pyannote[3378].start 17222.92596875
transcript.pyannote[3378].end 17222.95971875
transcript.pyannote[3379].speaker SPEAKER_21
transcript.pyannote[3379].start 17222.95971875
transcript.pyannote[3379].end 17222.97659375
transcript.pyannote[3380].speaker SPEAKER_16
transcript.pyannote[3380].start 17231.51534375
transcript.pyannote[3380].end 17231.98784375
transcript.pyannote[3381].speaker SPEAKER_16
transcript.pyannote[3381].start 17232.47721875
transcript.pyannote[3381].end 17237.89409375
transcript.pyannote[3382].speaker SPEAKER_16
transcript.pyannote[3382].start 17238.14721875
transcript.pyannote[3382].end 17239.53096875
transcript.pyannote[3383].speaker SPEAKER_15
transcript.pyannote[3383].start 17240.07096875
transcript.pyannote[3383].end 17244.03659375
transcript.pyannote[3384].speaker SPEAKER_16
transcript.pyannote[3384].start 17244.03659375
transcript.pyannote[3384].end 17244.30659375
transcript.pyannote[3385].speaker SPEAKER_15
transcript.pyannote[3385].start 17244.67784375
transcript.pyannote[3385].end 17245.03221875
transcript.pyannote[3386].speaker SPEAKER_16
transcript.pyannote[3386].start 17245.03221875
transcript.pyannote[3386].end 17246.07846875
transcript.pyannote[3387].speaker SPEAKER_15
transcript.pyannote[3387].start 17247.32721875
transcript.pyannote[3387].end 17248.13721875
transcript.pyannote[3388].speaker SPEAKER_16
transcript.pyannote[3388].start 17247.34409375
transcript.pyannote[3388].end 17251.02284375
transcript.pyannote[3389].speaker SPEAKER_15
transcript.pyannote[3389].start 17252.01846875
transcript.pyannote[3389].end 17259.96659375
transcript.pyannote[3390].speaker SPEAKER_16
transcript.pyannote[3390].start 17259.96659375
transcript.pyannote[3390].end 17260.94534375
transcript.pyannote[3391].speaker SPEAKER_15
transcript.pyannote[3391].start 17260.03409375
transcript.pyannote[3391].end 17260.96221875
transcript.pyannote[3392].speaker SPEAKER_16
transcript.pyannote[3392].start 17260.96221875
transcript.pyannote[3392].end 17260.99596875
transcript.pyannote[3393].speaker SPEAKER_15
transcript.pyannote[3393].start 17260.99596875
transcript.pyannote[3393].end 17261.02971875
transcript.pyannote[3394].speaker SPEAKER_16
transcript.pyannote[3394].start 17261.02971875
transcript.pyannote[3394].end 17262.91971875
transcript.pyannote[3395].speaker SPEAKER_15
transcript.pyannote[3395].start 17263.67909375
transcript.pyannote[3395].end 17264.23596875
transcript.pyannote[3396].speaker SPEAKER_16
transcript.pyannote[3396].start 17264.33721875
transcript.pyannote[3396].end 17264.65784375
transcript.pyannote[3397].speaker SPEAKER_16
transcript.pyannote[3397].start 17265.56909375
transcript.pyannote[3397].end 17266.17659375
transcript.pyannote[3398].speaker SPEAKER_15
transcript.pyannote[3398].start 17266.98659375
transcript.pyannote[3398].end 17267.10471875
transcript.pyannote[3399].speaker SPEAKER_16
transcript.pyannote[3399].start 17267.10471875
transcript.pyannote[3399].end 17267.15534375
transcript.pyannote[3400].speaker SPEAKER_15
transcript.pyannote[3400].start 17267.15534375
transcript.pyannote[3400].end 17267.42534375
transcript.pyannote[3401].speaker SPEAKER_16
transcript.pyannote[3401].start 17267.42534375
transcript.pyannote[3401].end 17267.96534375
transcript.pyannote[3402].speaker SPEAKER_15
transcript.pyannote[3402].start 17267.96534375
transcript.pyannote[3402].end 17268.03284375
transcript.pyannote[3403].speaker SPEAKER_16
transcript.pyannote[3403].start 17268.03284375
transcript.pyannote[3403].end 17268.23534375
transcript.pyannote[3404].speaker SPEAKER_15
transcript.pyannote[3404].start 17268.23534375
transcript.pyannote[3404].end 17268.79221875
transcript.pyannote[3405].speaker SPEAKER_16
transcript.pyannote[3405].start 17268.79221875
transcript.pyannote[3405].end 17268.84284375
transcript.pyannote[3406].speaker SPEAKER_15
transcript.pyannote[3406].start 17268.84284375
transcript.pyannote[3406].end 17268.85971875
transcript.pyannote[3407].speaker SPEAKER_16
transcript.pyannote[3407].start 17268.85971875
transcript.pyannote[3407].end 17268.87659375
transcript.pyannote[3408].speaker SPEAKER_16
transcript.pyannote[3408].start 17269.01159375
transcript.pyannote[3408].end 17271.44159375
transcript.pyannote[3409].speaker SPEAKER_15
transcript.pyannote[3409].start 17272.03221875
transcript.pyannote[3409].end 17273.51721875
transcript.pyannote[3410].speaker SPEAKER_15
transcript.pyannote[3410].start 17273.56784375
transcript.pyannote[3410].end 17273.65221875
transcript.pyannote[3411].speaker SPEAKER_16
transcript.pyannote[3411].start 17273.65221875
transcript.pyannote[3411].end 17275.40721875
transcript.pyannote[3412].speaker SPEAKER_15
transcript.pyannote[3412].start 17273.70284375
transcript.pyannote[3412].end 17279.00159375
transcript.pyannote[3413].speaker SPEAKER_16
transcript.pyannote[3413].start 17276.77409375
transcript.pyannote[3413].end 17277.11159375
transcript.pyannote[3414].speaker SPEAKER_15
transcript.pyannote[3414].start 17279.96346875
transcript.pyannote[3414].end 17303.52096875
transcript.pyannote[3415].speaker SPEAKER_16
transcript.pyannote[3415].start 17282.41034375
transcript.pyannote[3415].end 17282.44409375
transcript.pyannote[3416].speaker SPEAKER_25
transcript.pyannote[3416].start 17282.44409375
transcript.pyannote[3416].end 17282.46096875
transcript.pyannote[3417].speaker SPEAKER_16
transcript.pyannote[3417].start 17282.47784375
transcript.pyannote[3417].end 17282.49471875
transcript.pyannote[3418].speaker SPEAKER_16
transcript.pyannote[3418].start 17283.38909375
transcript.pyannote[3418].end 17283.96284375
transcript.pyannote[3419].speaker SPEAKER_16
transcript.pyannote[3419].start 17287.75971875
transcript.pyannote[3419].end 17287.87784375
transcript.pyannote[3420].speaker SPEAKER_15
transcript.pyannote[3420].start 17303.63909375
transcript.pyannote[3420].end 17308.02659375
transcript.pyannote[3421].speaker SPEAKER_14
transcript.pyannote[3421].start 17306.11971875
transcript.pyannote[3421].end 17310.81096875
transcript.pyannote[3422].speaker SPEAKER_16
transcript.pyannote[3422].start 17308.02659375
transcript.pyannote[3422].end 17309.32596875
transcript.pyannote[3423].speaker SPEAKER_16
transcript.pyannote[3423].start 17311.19909375
transcript.pyannote[3423].end 17336.96721875
transcript.pyannote[3424].speaker SPEAKER_15
transcript.pyannote[3424].start 17311.62096875
transcript.pyannote[3424].end 17311.70534375
transcript.pyannote[3425].speaker SPEAKER_29
transcript.pyannote[3425].start 17311.70534375
transcript.pyannote[3425].end 17311.72221875
transcript.pyannote[3426].speaker SPEAKER_15
transcript.pyannote[3426].start 17311.72221875
transcript.pyannote[3426].end 17311.77284375
transcript.pyannote[3427].speaker SPEAKER_14
transcript.pyannote[3427].start 17311.77284375
transcript.pyannote[3427].end 17311.97534375
transcript.pyannote[3428].speaker SPEAKER_02
transcript.pyannote[3428].start 17311.97534375
transcript.pyannote[3428].end 17312.97096875
transcript.pyannote[3429].speaker SPEAKER_14
transcript.pyannote[3429].start 17312.97096875
transcript.pyannote[3429].end 17313.29159375
transcript.pyannote[3430].speaker SPEAKER_02
transcript.pyannote[3430].start 17313.29159375
transcript.pyannote[3430].end 17313.61221875
transcript.pyannote[3431].speaker SPEAKER_14
transcript.pyannote[3431].start 17327.77034375
transcript.pyannote[3431].end 17329.03596875
transcript.pyannote[3432].speaker SPEAKER_15
transcript.pyannote[3432].start 17329.03596875
transcript.pyannote[3432].end 17330.52096875
transcript.pyannote[3433].speaker SPEAKER_00
transcript.pyannote[3433].start 17330.52096875
transcript.pyannote[3433].end 17330.58846875
transcript.pyannote[3434].speaker SPEAKER_15
transcript.pyannote[3434].start 17336.47784375
transcript.pyannote[3434].end 17336.88284375
transcript.pyannote[3435].speaker SPEAKER_15
transcript.pyannote[3435].start 17336.96721875
transcript.pyannote[3435].end 17337.43971875
transcript.pyannote[3436].speaker SPEAKER_16
transcript.pyannote[3436].start 17337.43971875
transcript.pyannote[3436].end 17340.47721875
transcript.pyannote[3437].speaker SPEAKER_15
transcript.pyannote[3437].start 17340.47721875
transcript.pyannote[3437].end 17340.54471875
transcript.pyannote[3438].speaker SPEAKER_16
transcript.pyannote[3438].start 17340.54471875
transcript.pyannote[3438].end 17340.56159375
transcript.pyannote[3439].speaker SPEAKER_15
transcript.pyannote[3439].start 17340.56159375
transcript.pyannote[3439].end 17340.86534375
transcript.pyannote[3440].speaker SPEAKER_16
transcript.pyannote[3440].start 17340.86534375
transcript.pyannote[3440].end 17340.88221875
transcript.pyannote[3441].speaker SPEAKER_16
transcript.pyannote[3441].start 17341.21971875
transcript.pyannote[3441].end 17341.65846875
transcript.pyannote[3442].speaker SPEAKER_15
transcript.pyannote[3442].start 17341.25346875
transcript.pyannote[3442].end 17344.44284375
transcript.pyannote[3443].speaker SPEAKER_16
transcript.pyannote[3443].start 17344.44284375
transcript.pyannote[3443].end 17344.81409375
transcript.pyannote[3444].speaker SPEAKER_15
transcript.pyannote[3444].start 17344.81409375
transcript.pyannote[3444].end 17346.26534375
transcript.pyannote[3445].speaker SPEAKER_15
transcript.pyannote[3445].start 17346.65346875
transcript.pyannote[3445].end 17348.52659375
transcript.pyannote[3446].speaker SPEAKER_15
transcript.pyannote[3446].start 17348.89784375
transcript.pyannote[3446].end 17350.73721875
transcript.pyannote[3447].speaker SPEAKER_15
transcript.pyannote[3447].start 17350.83846875
transcript.pyannote[3447].end 17359.71471875
transcript.pyannote[3448].speaker SPEAKER_15
transcript.pyannote[3448].start 17360.33909375
transcript.pyannote[3448].end 17363.68034375
transcript.pyannote[3449].speaker SPEAKER_16
transcript.pyannote[3449].start 17361.77346875
transcript.pyannote[3449].end 17363.27534375
transcript.pyannote[3450].speaker SPEAKER_15
transcript.pyannote[3450].start 17364.91221875
transcript.pyannote[3450].end 17365.85721875
transcript.pyannote[3451].speaker SPEAKER_16
transcript.pyannote[3451].start 17365.85721875
transcript.pyannote[3451].end 17365.92471875
transcript.pyannote[3452].speaker SPEAKER_15
transcript.pyannote[3452].start 17366.22846875
transcript.pyannote[3452].end 17368.57409375
transcript.pyannote[3453].speaker SPEAKER_16
transcript.pyannote[3453].start 17368.57409375
transcript.pyannote[3453].end 17378.02409375
transcript.pyannote[3454].speaker SPEAKER_15
transcript.pyannote[3454].start 17368.59096875
transcript.pyannote[3454].end 17369.75534375
transcript.pyannote[3455].speaker SPEAKER_15
transcript.pyannote[3455].start 17374.64909375
transcript.pyannote[3455].end 17375.30721875
transcript.pyannote[3456].speaker SPEAKER_15
transcript.pyannote[3456].start 17377.02846875
transcript.pyannote[3456].end 17377.19721875
transcript.pyannote[3457].speaker SPEAKER_15
transcript.pyannote[3457].start 17378.37846875
transcript.pyannote[3457].end 17380.09971875
transcript.pyannote[3458].speaker SPEAKER_16
transcript.pyannote[3458].start 17379.66096875
transcript.pyannote[3458].end 17380.92659375
transcript.pyannote[3459].speaker SPEAKER_15
transcript.pyannote[3459].start 17380.92659375
transcript.pyannote[3459].end 17381.02784375
transcript.pyannote[3460].speaker SPEAKER_16
transcript.pyannote[3460].start 17381.02784375
transcript.pyannote[3460].end 17381.95596875
transcript.pyannote[3461].speaker SPEAKER_16
transcript.pyannote[3461].start 17382.29346875
transcript.pyannote[3461].end 17385.22971875
transcript.pyannote[3462].speaker SPEAKER_16
transcript.pyannote[3462].start 17385.24659375
transcript.pyannote[3462].end 17385.29721875
transcript.pyannote[3463].speaker SPEAKER_15
transcript.pyannote[3463].start 17385.29721875
transcript.pyannote[3463].end 17386.56284375
transcript.pyannote[3464].speaker SPEAKER_16
transcript.pyannote[3464].start 17385.87096875
transcript.pyannote[3464].end 17403.26909375
transcript.pyannote[3465].speaker SPEAKER_15
transcript.pyannote[3465].start 17386.83284375
transcript.pyannote[3465].end 17389.97159375
transcript.pyannote[3466].speaker SPEAKER_04
transcript.pyannote[3466].start 17389.97159375
transcript.pyannote[3466].end 17392.43534375
transcript.pyannote[3467].speaker SPEAKER_04
transcript.pyannote[3467].start 17392.78971875
transcript.pyannote[3467].end 17393.65034375
transcript.pyannote[3468].speaker SPEAKER_14
transcript.pyannote[3468].start 17393.65034375
transcript.pyannote[3468].end 17393.68409375
transcript.pyannote[3469].speaker SPEAKER_15
transcript.pyannote[3469].start 17402.79659375
transcript.pyannote[3469].end 17403.23534375
transcript.pyannote[3470].speaker SPEAKER_15
transcript.pyannote[3470].start 17403.26909375
transcript.pyannote[3470].end 17403.74159375
transcript.pyannote[3471].speaker SPEAKER_16
transcript.pyannote[3471].start 17403.74159375
transcript.pyannote[3471].end 17411.18346875
transcript.pyannote[3472].speaker SPEAKER_15
transcript.pyannote[3472].start 17403.75846875
transcript.pyannote[3472].end 17405.07471875
transcript.pyannote[3473].speaker SPEAKER_16
transcript.pyannote[3473].start 17411.40284375
transcript.pyannote[3473].end 17418.52409375
transcript.pyannote[3474].speaker SPEAKER_15
transcript.pyannote[3474].start 17419.60409375
transcript.pyannote[3474].end 17424.07596875
transcript.pyannote[3475].speaker SPEAKER_16
transcript.pyannote[3475].start 17420.44784375
transcript.pyannote[3475].end 17422.37159375
transcript.pyannote[3476].speaker SPEAKER_16
transcript.pyannote[3476].start 17422.55721875
transcript.pyannote[3476].end 17428.48034375
transcript.pyannote[3477].speaker SPEAKER_15
transcript.pyannote[3477].start 17424.12659375
transcript.pyannote[3477].end 17424.66659375
transcript.pyannote[3478].speaker SPEAKER_15
transcript.pyannote[3478].start 17425.37534375
transcript.pyannote[3478].end 17425.67909375
transcript.pyannote[3479].speaker SPEAKER_15
transcript.pyannote[3479].start 17427.48471875
transcript.pyannote[3479].end 17428.85159375
transcript.pyannote[3480].speaker SPEAKER_16
transcript.pyannote[3480].start 17428.85159375
transcript.pyannote[3480].end 17434.40346875
transcript.pyannote[3481].speaker SPEAKER_15
transcript.pyannote[3481].start 17429.02034375
transcript.pyannote[3481].end 17430.33659375
transcript.pyannote[3482].speaker SPEAKER_15
transcript.pyannote[3482].start 17430.67409375
transcript.pyannote[3482].end 17440.59659375
transcript.pyannote[3483].speaker SPEAKER_16
transcript.pyannote[3483].start 17436.76596875
transcript.pyannote[3483].end 17462.73659375
transcript.pyannote[3484].speaker SPEAKER_15
transcript.pyannote[3484].start 17441.47409375
transcript.pyannote[3484].end 17445.96284375
transcript.pyannote[3485].speaker SPEAKER_00
transcript.pyannote[3485].start 17445.96284375
transcript.pyannote[3485].end 17456.29034375
transcript.pyannote[3486].speaker SPEAKER_16
transcript.pyannote[3486].start 17463.22596875
transcript.pyannote[3486].end 17471.52846875
transcript.pyannote[3487].speaker SPEAKER_16
transcript.pyannote[3487].start 17471.78159375
transcript.pyannote[3487].end 17472.87846875
transcript.pyannote[3488].speaker SPEAKER_15
transcript.pyannote[3488].start 17473.03034375
transcript.pyannote[3488].end 17473.30034375
transcript.pyannote[3489].speaker SPEAKER_16
transcript.pyannote[3489].start 17473.30034375
transcript.pyannote[3489].end 17476.23659375
transcript.pyannote[3490].speaker SPEAKER_15
transcript.pyannote[3490].start 17476.60784375
transcript.pyannote[3490].end 17478.86909375
transcript.pyannote[3491].speaker SPEAKER_16
transcript.pyannote[3491].start 17477.29971875
transcript.pyannote[3491].end 17477.75534375
transcript.pyannote[3492].speaker SPEAKER_16
transcript.pyannote[3492].start 17479.24034375
transcript.pyannote[3492].end 17482.04159375
transcript.pyannote[3493].speaker SPEAKER_15
transcript.pyannote[3493].start 17481.19784375
transcript.pyannote[3493].end 17482.88534375
transcript.pyannote[3494].speaker SPEAKER_16
transcript.pyannote[3494].start 17483.08784375
transcript.pyannote[3494].end 17483.50971875
transcript.pyannote[3495].speaker SPEAKER_15
transcript.pyannote[3495].start 17483.67846875
transcript.pyannote[3495].end 17487.08721875
transcript.pyannote[3496].speaker SPEAKER_16
transcript.pyannote[3496].start 17487.64409375
transcript.pyannote[3496].end 17487.67784375
transcript.pyannote[3497].speaker SPEAKER_21
transcript.pyannote[3497].start 17487.67784375
transcript.pyannote[3497].end 17488.01534375
transcript.pyannote[3498].speaker SPEAKER_15
transcript.pyannote[3498].start 17488.31909375
transcript.pyannote[3498].end 17488.75784375
transcript.pyannote[3499].speaker SPEAKER_15
transcript.pyannote[3499].start 17488.97721875
transcript.pyannote[3499].end 17492.13284375
transcript.pyannote[3500].speaker SPEAKER_21
transcript.pyannote[3500].start 17488.99409375
transcript.pyannote[3500].end 17489.90534375
transcript.pyannote[3501].speaker SPEAKER_21
transcript.pyannote[3501].start 17491.10346875
transcript.pyannote[3501].end 17492.58846875
transcript.pyannote[3502].speaker SPEAKER_21
transcript.pyannote[3502].start 17492.87534375
transcript.pyannote[3502].end 17493.43221875
transcript.pyannote[3503].speaker SPEAKER_21
transcript.pyannote[3503].start 17494.12409375
transcript.pyannote[3503].end 17494.14096875
transcript.pyannote[3504].speaker SPEAKER_15
transcript.pyannote[3504].start 17494.14096875
transcript.pyannote[3504].end 17494.34346875
transcript.pyannote[3505].speaker SPEAKER_21
transcript.pyannote[3505].start 17494.34346875
transcript.pyannote[3505].end 17494.39409375
transcript.pyannote[3506].speaker SPEAKER_21
transcript.pyannote[3506].start 17500.43534375
transcript.pyannote[3506].end 17500.95846875
transcript.pyannote[3507].speaker SPEAKER_21
transcript.pyannote[3507].start 17500.97534375
transcript.pyannote[3507].end 17501.02596875
transcript.pyannote[3508].speaker SPEAKER_21
transcript.pyannote[3508].start 17501.27909375
transcript.pyannote[3508].end 17503.06784375
transcript.pyannote[3509].speaker SPEAKER_21
transcript.pyannote[3509].start 17506.20659375
transcript.pyannote[3509].end 17507.50596875
transcript.pyannote[3510].speaker SPEAKER_21
transcript.pyannote[3510].start 17507.59034375
transcript.pyannote[3510].end 17507.92784375
transcript.pyannote[3511].speaker SPEAKER_28
transcript.pyannote[3511].start 17514.34034375
transcript.pyannote[3511].end 17514.45846875
transcript.pyannote[3512].speaker SPEAKER_21
transcript.pyannote[3512].start 17517.32721875
transcript.pyannote[3512].end 17520.22971875
transcript.pyannote[3513].speaker SPEAKER_21
transcript.pyannote[3513].start 17522.89596875
transcript.pyannote[3513].end 17523.82409375
transcript.pyannote[3514].speaker SPEAKER_21
transcript.pyannote[3514].start 17524.61721875
transcript.pyannote[3514].end 17525.84909375
transcript.pyannote[3515].speaker SPEAKER_21
transcript.pyannote[3515].start 17533.17284375
transcript.pyannote[3515].end 17538.15096875
transcript.pyannote[3516].speaker SPEAKER_21
transcript.pyannote[3516].start 17538.79221875
transcript.pyannote[3516].end 17539.48409375
transcript.pyannote[3517].speaker SPEAKER_21
transcript.pyannote[3517].start 17540.12534375
transcript.pyannote[3517].end 17540.37846875
transcript.pyannote[3518].speaker SPEAKER_21
transcript.pyannote[3518].start 17541.34034375
transcript.pyannote[3518].end 17542.18409375
transcript.pyannote[3519].speaker SPEAKER_21
transcript.pyannote[3519].start 17542.69034375
transcript.pyannote[3519].end 17543.33159375
transcript.pyannote[3520].speaker SPEAKER_21
transcript.pyannote[3520].start 17543.77034375
transcript.pyannote[3520].end 17545.55909375
transcript.pyannote[3521].speaker SPEAKER_21
transcript.pyannote[3521].start 17546.18346875
transcript.pyannote[3521].end 17547.12846875
transcript.pyannote[3522].speaker SPEAKER_21
transcript.pyannote[3522].start 17548.05659375
transcript.pyannote[3522].end 17549.40659375
transcript.pyannote[3523].speaker SPEAKER_21
transcript.pyannote[3523].start 17550.90846875
transcript.pyannote[3523].end 17551.71846875
transcript.pyannote[3524].speaker SPEAKER_21
transcript.pyannote[3524].start 17552.35971875
transcript.pyannote[3524].end 17554.28346875
transcript.pyannote[3525].speaker SPEAKER_21
transcript.pyannote[3525].start 17554.97534375
transcript.pyannote[3525].end 17556.61221875
transcript.pyannote[3526].speaker SPEAKER_21
transcript.pyannote[3526].start 17557.97909375
transcript.pyannote[3526].end 17558.29971875
transcript.pyannote[3527].speaker SPEAKER_21
transcript.pyannote[3527].start 17559.07596875
transcript.pyannote[3527].end 17563.32846875
transcript.pyannote[3528].speaker SPEAKER_21
transcript.pyannote[3528].start 17563.61534375
transcript.pyannote[3528].end 17564.71221875
transcript.pyannote[3529].speaker SPEAKER_21
transcript.pyannote[3529].start 17564.74596875
transcript.pyannote[3529].end 17568.05346875
transcript.pyannote[3530].speaker SPEAKER_21
transcript.pyannote[3530].start 17568.47534375
transcript.pyannote[3530].end 17572.22159375
transcript.pyannote[3531].speaker SPEAKER_21
transcript.pyannote[3531].start 17572.52534375
transcript.pyannote[3531].end 17574.93846875
transcript.pyannote[3532].speaker SPEAKER_21
transcript.pyannote[3532].start 17575.54596875
transcript.pyannote[3532].end 17580.33846875
transcript.pyannote[3533].speaker SPEAKER_21
transcript.pyannote[3533].start 17580.86159375
transcript.pyannote[3533].end 17582.21159375
transcript.pyannote[3534].speaker SPEAKER_21
transcript.pyannote[3534].start 17582.81909375
transcript.pyannote[3534].end 17583.81471875
transcript.pyannote[3535].speaker SPEAKER_21
transcript.pyannote[3535].start 17584.30409375
transcript.pyannote[3535].end 17585.60346875
transcript.pyannote[3536].speaker SPEAKER_21
transcript.pyannote[3536].start 17586.85221875
transcript.pyannote[3536].end 17589.92346875
transcript.pyannote[3537].speaker SPEAKER_21
transcript.pyannote[3537].start 17590.12596875
transcript.pyannote[3537].end 17592.08346875
transcript.pyannote[3538].speaker SPEAKER_21
transcript.pyannote[3538].start 17592.58971875
transcript.pyannote[3538].end 17594.17596875
transcript.pyannote[3539].speaker SPEAKER_21
transcript.pyannote[3539].start 17594.54721875
transcript.pyannote[3539].end 17596.09971875
transcript.pyannote[3540].speaker SPEAKER_21
transcript.pyannote[3540].start 17596.65659375
transcript.pyannote[3540].end 17599.77846875
transcript.pyannote[3541].speaker SPEAKER_21
transcript.pyannote[3541].start 17600.11596875
transcript.pyannote[3541].end 17602.03971875
transcript.pyannote[3542].speaker SPEAKER_21
transcript.pyannote[3542].start 17602.42784375
transcript.pyannote[3542].end 17604.87471875
transcript.pyannote[3543].speaker SPEAKER_21
transcript.pyannote[3543].start 17605.00971875
transcript.pyannote[3543].end 17605.29659375
transcript.whisperx[0].start 357.08
transcript.whisperx[0].end 357.718
transcript.whisperx[0].text 委員會主席
transcript.whisperx[1].start 462.254
transcript.whisperx[1].end 462.395
transcript.whisperx[1].text 法定人數不足
transcript.whisperx[2].start 578.856
transcript.whisperx[2].end 578.919
transcript.whisperx[2].text 委員會主席
transcript.whisperx[3].start 644.526
transcript.whisperx[3].end 645.688
transcript.whisperx[3].text 委員會主席
transcript.whisperx[4].start 694.718
transcript.whisperx[4].end 695.64
transcript.whisperx[4].text MING PAO CANADA MANGA
transcript.whisperx[5].start 974.899
transcript.whisperx[5].end 975.245
transcript.whisperx[5].text 到時候就
transcript.whisperx[6].start 1585.547
transcript.whisperx[6].end 1586.454
transcript.whisperx[6].text 法定人數不足
transcript.whisperx[7].start 1711.087
transcript.whisperx[7].end 1712.81
transcript.whisperx[7].text 現在請主秘報告出席人數
transcript.whisperx[8].start 1714.5
transcript.whisperx[8].end 1726.526
transcript.whisperx[8].text 報告全體會 初期委員13人已足法定人數我們現在開會 我們進行報告事項 請宣讀上次會議事錄立法院第11屆第2會期經濟委員會第14次全體委員會議事錄時間113年11月18日星期一9時至12時30分 地點紅101會議室初期委員 林大化委員等14人 列席委員 郭國文委員等18人
transcript.whisperx[9].start 1738.692
transcript.whisperx[9].end 1750.739
transcript.whisperx[9].text 列席人員 農業部部長陳俊濟 內政部代表勞動部勞動基金局組長林啟坤 主計總署公務預算處專委邱碧珠 計各單位相關人員 主席邱昭吉 委員 智偉
transcript.whisperx[10].start 1752.043
transcript.whisperx[10].end 1772.873
transcript.whisperx[10].text 報告事項宣讀上次會議議事錄決定確定討論事項一審查114年度中央政府總預算案關於農業部及所屬單位預算部分二審查114年度中央政府總預算案附屬單位預算關於農業部主管費營業部分農業作業基金、農田水利事業作業基金、農業特別收入基金及農營退休基金
transcript.whisperx[11].start 1773.773
transcript.whisperx[11].end 1801.904
transcript.whisperx[11].text 討論事項和並詢答農業部陳部長報告後委員林戴浩等20人提出質詢均由農業部陳部長及相關人及其答覆登記發言委員處不在場者外其餘均與發言完畢詢答結束未及答覆部分請相互單位於一週內以書面答覆並複製本會決議詢答結束令定期繼續審查散會宣讀完畢好我們在場委員人數不足我們議事錄正不確定現在繼續進行討論事項及宣讀
transcript.whisperx[12].start 1804.012
transcript.whisperx[12].end 1832.451
transcript.whisperx[12].text 審查114年度中央政府總預算案附屬單位預算營業部分關於經濟部主管、台灣電力股份有限公司、台灣自來水股份有限公司今日詢答宣讀完畢好本日本席排定的議程為審查114年度中央政府總預算案附屬單位預算營業部分關於經濟部主管、台灣電力股份有限公司以及台灣自來水股份有限公司
transcript.whisperx[13].start 1833.51
transcript.whisperx[13].end 1856.184
transcript.whisperx[13].text 那今天列席的各部會的主管除經濟部郭智輝部長、國營事業司胡思、胡文忠市長、會議處跟人事處同仁台灣電力公司由曾文森董事長、王耀廷總經理以及6位副總經理還有各處的處長、副處長代表
transcript.whisperx[14].start 1862.843
transcript.whisperx[14].end 1883.523
transcript.whisperx[14].text 台灣自來水股份由李教榮董事長、李丁來總經理以及各處處長親自出席行政院主席總署由基金預算處王科長出席首先我們請經濟部郭智輝部長報告
transcript.whisperx[15].start 1897.116
transcript.whisperx[15].end 1912.464
transcript.whisperx[15].text 主席、各位委員、大家早。承蒙貴委員會邀請就本部所屬台灣電力公司、台灣自來水公司114年度預算重點提出報告。敬請各位委員不吝視教。
transcript.whisperx[16].start 1914.475
transcript.whisperx[16].end 1935.006
transcript.whisperx[16].text 依應全球氣候變遷,台電公司積極配合能源轉型及淨零排放政策,全面強化電網韌性,落實需求面管理,以確保穩定供電,並朝零碳電力願景邁進,僅就台電公司114年度預算,重點說明如下。
transcript.whisperx[17].start 1936.943
transcript.whisperx[17].end 1962.459
transcript.whisperx[17].text 於穩定供電的前提下積極推動淨零轉型工程。 台電公司肩負穩定全球電力供應之責以強化基礎運作運為如期如質完成基礎大修並精進風險控管並於再生能源佔比持續提高過程確保電力系統穩定。 令積極配合政府能源及淨零轉型政策
transcript.whisperx[18].start 1963.137
transcript.whisperx[18].end 1985.026
transcript.whisperx[18].text 於供給面、電網面及需求面持續推動各項計畫在供給面進行多元能源開發並優先擴大再生能源發展除持續推動新增燃氣機組計畫114年度包括新建兩部機組大潭一部機組及台中一部機組將陸續上線至119年預計新增16部機組
transcript.whisperx[19].start 1990.208
transcript.whisperx[19].end 2008.499
transcript.whisperx[19].text 總裝置容量達1244萬千瓦外亦以零碳為目標優先擴大自有再生能源開發114年包括自辦離岸風力二期工作及配合地熱發展規劃精進現有仁喆發電廠並加以擴廠更啟動與台中、谷關、新北
transcript.whisperx[20].start 2016.583
transcript.whisperx[20].end 2038.378
transcript.whisperx[20].text 黃山等區域進行地熱探勘盤點全台地熱潛能區規劃引進多部國際生技機具加入探勘不論離岸風電或地熱項目皆採取多元模式全力投入開發以支持全國2026年再生能源發電占比至少20%電網面持續強化電網韌性
transcript.whisperx[21].start 2043.902
transcript.whisperx[21].end 2073.425
transcript.whisperx[21].text 提升電網體質、改變公司以減少停電、快速復電、園區穩定供電、改善送電瓶頸、長期提升電網體質為目標以分散、強固及防衛等三大推動主軸持續推動強化電網韌性建設計畫並於117年優先完成關鍵區域以及與民生相關的關鍵工程,另外提升供電可靠度
transcript.whisperx[22].start 2074.992
transcript.whisperx[22].end 2094.213
transcript.whisperx[22].text 針對人口成長、用電成長以及設備老化等指標綜合評估以風險程度盤點完成紅黃綠三區針對風險程度較高的區域及早投入資源以強化配電電系統改善此外推動45項再生能源
transcript.whisperx[23].start 2094.933
transcript.whisperx[23].end 2118.501
transcript.whisperx[23].text 加強電力網工程包含離岸風電7站7線以及太陽光電9站10線可以有效增加再生能源並網量需求面經濟需求面管理並落實深度節能台電公司持續進行需要需求面管理措施配合再生能源發展調整電價的尖風尖離風時間同時位於
transcript.whisperx[24].start 2121.172
transcript.whisperx[24].end 2126.707
transcript.whisperx[24].text 民間和用戶共同努力一體尖峰用電推出各項虛量反應
transcript.whisperx[25].start 2129.063
transcript.whisperx[25].end 2147.53
transcript.whisperx[25].text 負載管理措施引導用戶調整用電令推動深度節能計劃113年已扮演46戶國公營、事業等大型醫院包括中油、中鋼、三總等用電大戶的節能診斷在所有先行市場域的68%有效協助國家節電目標114年將繼續深化協助本部擴大
transcript.whisperx[26].start 2154.733
transcript.whisperx[26].end 2157.377
transcript.whisperx[26].text 推動節能措施有助於我國達成116年節電206億度的目標二、確保財務永續推動
transcript.whisperx[27].start 2165.796
transcript.whisperx[27].end 2185.809
transcript.whisperx[27].text 各項重大電力建設,近年來受二污戰爭的影響,國際燃料價格大漲,秉承政府穩定物價,照顧民生及弱勢族群政策,台電公司主動將民生用電採取低調幅或動漲,平均每度民生電價
transcript.whisperx[28].start 2188.061
transcript.whisperx[28].end 2204.892
transcript.whisperx[28].text 2.77元,跟成本每度差1元以上,方才導致台電公司每年吸收民生用電成本800至1000億,111年至113年吸收民生用電成本逾2800億,是台電公司巨額虧損的主要原因。
transcript.whisperx[29].start 2206.596
transcript.whisperx[29].end 2229.466
transcript.whisperx[29].text 為繼續提供民生較輕省的電價又兼顧台電公司的財務穩健爭取於113年及114年分別編列1000億元預算撥補台電公司以利台電公司永續經營且持續推動各項重大電力建設提供社會大眾穩定電力營業收支及盈虧114年度預算編
transcript.whisperx[30].start 2232.917
transcript.whisperx[30].end 2235.479
transcript.whisperx[30].text 編收入1兆47億8,529萬元支出9,970億4,856萬元本期淨利77億3,673億元較113年度預算淨損
transcript.whisperx[31].start 2253.879
transcript.whisperx[31].end 2262.849
transcript.whisperx[31].text 1887億454萬元增加了1964億4127萬元主要是電力費收入增加以及中央政府補助全民電費
transcript.whisperx[32].start 2264.198
transcript.whisperx[32].end 2268.52
transcript.whisperx[32].text 政府補助收入增加等所致投資計劃及資金來源114年度編列構建固定資產投資計劃預算2689億8820萬元其中專案計劃編列1456億4578萬元
transcript.whisperx[33].start 2282.11
transcript.whisperx[33].end 2288.615
transcript.whisperx[33].text 一般建築及設備計畫編列1233億4242萬元資金來源除了582億8920萬元以自有資金支應之外其餘2106億9900萬元向國內外借款籌措二、台水公司
transcript.whisperx[34].start 2307.793
transcript.whisperx[34].end 2335.105
transcript.whisperx[34].text 為穩定國內民生及工業用水強化水質安全避免極端氣候造成供水缺口以及提高供水韌性灘水公司持續以開源、節流、調度、備源等四大主軸作為穩定供水的策略並落實政府照顧民眾之精神具以推動114年度各項重點工作如下依重要業務措施多元水源開發今年
transcript.whisperx[35].start 2336.42
transcript.whisperx[35].end 2358.701
transcript.whisperx[35].text 漢牢平船導致水庫、川流及地下水等傳統水源穩定性不足為穩定供水、台水公司將以開發多元化水源分散風險114年將完成烏溪四萬噸浮流水開發及南化附線等工程並持續推動海水淡化以及水井抽附工程
transcript.whisperx[36].start 2359.861
transcript.whisperx[36].end 2386.877
transcript.whisperx[36].text 以提升水源調度能力二提升淨水廠處理效率台水公司旗下有478處淨水廠部分設備已逐漸老化將依據效益分階段推動淨水廠的現代化設備改造規劃於114年度完成山上林莊及鳥嘴潭三處淨水廠改善及擴建以確保
transcript.whisperx[37].start 2387.907
transcript.whisperx[37].end 2399.63
transcript.whisperx[37].text 水的品質以及效率 持續降低漏水 台水公司將持續降低漏水率計劃以節約水資源114年度編列72.55億元預計淘汰管線長達718公里目標在114年度
transcript.whisperx[38].start 2409.01
transcript.whisperx[38].end 2433.201
transcript.whisperx[38].text 114年底將漏水率降至到11.55%是強化調度備援為因應氣候變遷的供水挑戰臺水公司將投入61.15億元計劃增強單一重要脆弱等維生管線備援能力並在114年度完成4條備援幹線鋪設5提供供水率普及
transcript.whisperx[39].start 2435.1
transcript.whisperx[39].end 2446.845
transcript.whisperx[39].text 提供供水普及率,臺水公司預計從114年至118年配合推動無自來水地區供水改善計畫第5期,114年度預算編列15.3億元以期債114年改善3600戶的供水服務。
transcript.whisperx[40].start 2453.442
transcript.whisperx[40].end 2459.966
transcript.whisperx[40].text 第二大項營業收支及盈虧114年度預算編列收入328億9565萬元支出388億2919萬元虧損59億3354萬元較113年度預算虧損22億6662萬元增加虧損36億6692萬元主要系給水收入減少動力費、外包費、利息及折舊等支出增加所致
transcript.whisperx[41].start 2483.682
transcript.whisperx[41].end 2486.283
transcript.whisperx[41].text 投資計畫及資金來源114年度預算構建固定資產投資計畫編列294億7302萬元其中專案計畫編列218億2058萬元一般建築及設備
transcript.whisperx[42].start 2501.391
transcript.whisperx[42].end 2505.455
transcript.whisperx[42].text 計劃編列76億5244萬元資金來源除了121億6916萬元向國內銀行借貸外其173億386萬元以自有資金支應。敬請各位委員支持與指教。謝謝。好,謝謝公務長。公務長請回座。
transcript.whisperx[43].start 2528.645
transcript.whisperx[43].end 2532.501
transcript.whisperx[43].text 接下來請台灣電力公司請鄭文森董事長報告
transcript.whisperx[44].start 2542.334
transcript.whisperx[44].end 2559.26
transcript.whisperx[44].text 主席各位委員大家早安今天審查台電公司114年預算本人有機會在這邊代表台電公司來跟大院報告114年度的經營概況以下分六大面向來做說明
transcript.whisperx[45].start 2560.427
transcript.whisperx[45].end 2576.576
transcript.whisperx[45].text 首先第一個是有關於確保穩定供電跟強化電網韌性的部分那台電公司持續在改更新改建就是高效的複旋環燃氣機組那增加機組的運轉可靠度同時也提高那個高效的發電占比
transcript.whisperx[46].start 2577.296
transcript.whisperx[46].end 2595.083
transcript.whisperx[46].text 在此同時我們配合電力交易平台擴大電力供給面的同時活絡各種能源的多樣化把分散的民間電力資源能夠引進電力市場整合成為可以調控的電力能夠更有效且實惠的方式共同來協助電力的系統穩定
transcript.whisperx[47].start 2597.123
transcript.whisperx[47].end 2622.291
transcript.whisperx[47].text 電網方面,台電公司加速推動電網強韌建設計畫,會優先完成關鍵設施包括機場、車站、醫院、產業園區等等。同時,也將民生相關的關鍵工程包括線路跟設備的預防維護檢測列為優先加強保護跟汰換配電系統等系統改善工程。在區域調度中心會導入EMS系統,
transcript.whisperx[48].start 2623.231
transcript.whisperx[48].end 2645.818
transcript.whisperx[48].text 提升自動化能力並迅速隔離故障點、縮短停電的時間為了要因應天然災害導致偏鄉部落道路中斷的時候電力修復的時間比較長我們也在跟地方政府研商建置防災行為電網強化整體的電力韌性有關於用戶服務方面主要分兩個大的部分第一個是高壓以上的用戶
transcript.whisperx[49].start 2646.798
transcript.whisperx[49].end 2670.031
transcript.whisperx[49].text 我們會透過高壓用戶服務的入口網站提供各項的包含契約容量、電費試算等等的視覺化分析圖表協助這些大用電戶的電能管理那對於低壓的用戶我們有加裝AMI我們就可以透過台灣電力APP然後可以取得電子帳單的服務同時也可以讓個別的用戶
transcript.whisperx[50].start 2671.031
transcript.whisperx[50].end 2699.43
transcript.whisperx[50].text 取得及時的用電資訊來引導節電等等相關各種的措施那在經濟需求面管理的部分我們現在持續的運用各種的數據分析來篩選跟推廣各種可以參與需量管理的用戶那也會優先協助國公營事業還有醫院這些相關的機構優先的導入各種節電潛力的評估落實政府節電的計畫
transcript.whisperx[51].start 2701.051
transcript.whisperx[51].end 2719.748
transcript.whisperx[51].text 那在第三個部分有關於推動能源轉型跟邁向淨零的目標那台電公司作為一個供電公司我們有三個面向需要同時做管理就是分別是供電需求以及介於中間的電網的三大面向那目標是朝向先低碳再零碳的方向來前進
transcript.whisperx[52].start 2720.549
transcript.whisperx[52].end 2743.516
transcript.whisperx[52].text 那台電公司自己也在推動有關光電、離岸風電、地韌等等再生能源的開發同時透過燃氣的橋接來配合再生能源的滲透率的提高那也加速減碳的一些相關的工作那除此之外我們也會提前布局投入包括類似氫能等等的混燒、碳補桌等等相關的前瞻技術
transcript.whisperx[53].start 2744.236
transcript.whisperx[53].end 2770.989
transcript.whisperx[53].text 希望能夠透過這些新的淨零技術早日達成淨零減碳的目標那除此之外有非常多的綠電基本上發電以後需要有妥善的併網環境那台電公司是持續加強推動各種的再生能源的電力網工程那能夠加速併網等等的工作提高我們再生能源的供應量那也因為如此所以我們在今年
transcript.whisperx[54].start 2772.55
transcript.whisperx[54].end 2789.472
transcript.whisperx[54].text 2024年度明年編制的預算裡面,台電的受電量事實上因為透過電網轉供的關係,所以台電的受電量的成長本身並不會很多,可是整個系統的供電量事實上是會維持一定程度的成長。
transcript.whisperx[55].start 2790.533
transcript.whisperx[55].end 2815.274
transcript.whisperx[55].text 除此之外第四個面向就是導入了數位科技擴大數位應用等等的一些相關的服務在基礎面上面台電現在為了因應數位轉型的大數據需求我們也透過我們的一些相關的空間的建置建置了雲端的資料中心也推動台電公司的資料治理希望透過這些新的資料治理的方式
transcript.whisperx[56].start 2815.894
transcript.whisperx[56].end 2837.191
transcript.whisperx[56].text 以及我們新的各種電力設備發電跟用電等等的資訊的收集能夠導入AI的系統加強未來整個智慧電網的調控等等相關的一些工作第5個面向是有關於經營績效提升確保財務永續的部分
transcript.whisperx[57].start 2837.771
transcript.whisperx[57].end 2853.264
transcript.whisperx[57].text 那這個部分就是有關於台電的財務以及我們電費等等相關的問題其實這段時間以來討論非常非常的多那簡而言之其實台電過去這兩三年來並沒有辦法在電價上面完全反映
transcript.whisperx[58].start 2854.225
transcript.whisperx[58].end 2872.661
transcript.whisperx[58].text 國際能源價格上漲所帶動的成本提升我們因為還漲的關係所以有累積了一些虧損需要彌平我們希望這一個部分能夠得到大院的支持就是有關於台電相關的一些補貼的預算也希望大院的委員能夠
transcript.whisperx[59].start 2874.537
transcript.whisperx[59].end 2896.128
transcript.whisperx[59].text 透過尋答瞭解臺電實際的財務狀況以及過去虧損造成的理由能夠給予臺電公司一定程度的財務支持第6個部分是有關於促進永續經營跟提升人力價值的部分我想永續發展大概是整個電力轉型最關鍵的一個核心目標它也是一個普世價值
transcript.whisperx[60].start 2897.108
transcript.whisperx[60].end 2921.395
transcript.whisperx[60].text 那台電公司透過完善的一個永續治理的架構我們會持續的來關注氣候風險對決各項的倡議跟指標來檢討台電內部各項的工作是不是符合永續的目標那同時也透過這些檢視來提升我們自己永續經營的韌性那對於永續發展的一些相關的議題尤其是
transcript.whisperx[61].start 2921.975
transcript.whisperx[61].end 2934.762
transcript.whisperx[61].text 大家關心電力建設所影響的環境永續的問題台電公司會透過公開透明的原則揭露必要的消息也希望能夠調合各項的利害關係人權益能夠讓我們的永續經營更有競爭力
transcript.whisperx[62].start 2939.544
transcript.whisperx[62].end 2951.597
transcript.whisperx[62].text 最後還有一個關鍵的是,台電公司這幾年來也面對到了人員的加速的退休跟新的增補,所以面對多元的面向的人力我們會
transcript.whisperx[63].start 2953.106
transcript.whisperx[63].end 2967.123
transcript.whisperx[63].text 藉由校園的紮根還有拓展跟學界的合作提前來布局延攬電業發展所需要的人才那另外因應未來趨勢變化我們也會將台電公司所需要的各項專業的訓練
transcript.whisperx[64].start 2969.746
transcript.whisperx[64].end 2985.96
transcript.whisperx[64].text 讓能夠更紮實的推動同時也規劃建置相關的徵照制度來要求同仁接受各種各項新的訓練提升自己的專業技能那在
transcript.whisperx[65].start 2987.632
transcript.whisperx[65].end 3016.696
transcript.whisperx[65].text 對未來的發展上面我們希望臺電公司透過人力的更新進步以及各項技術的提升能夠提供臺灣一個穩定永續而具有韌性的電力環境以上報告謝謝謝謝臺灣電力公司中央政府董事長針對經營該方的報告接著請臺灣電力公司王耀廷總經理針對111算該方做報告
transcript.whisperx[66].start 3024.434
transcript.whisperx[66].end 3049.946
transcript.whisperx[66].text 主席、各位委員、大家好今天適逢大院審查臺電公司114年度的營業預算本人以下請就臺電公司113年度的預算執行情形還有就是114年度的營業預算的內容做一個簡要報告那首先報告113年度預算的執行情形在供售電量的這個產銷情形方面113年度到9月底子我們累計的供電量是1898億度
transcript.whisperx[67].start 3053.047
transcript.whisperx[67].end 3059.675
transcript.whisperx[67].text 達到全年預算2587億度的73%那113年度到9月底累計的售電量是1795億度也達到全年度預算2445億度的73%那其次在收支盈虧方面113年度截止到9月底
transcript.whisperx[68].start 3074.851
transcript.whisperx[68].end 3101.379
transcript.whisperx[68].text 雖然國際的燃料價格有稍微回穩但是比起二五戰爭前仍然高出許多113年度我們在4月跟10月起雖然電價做了兩次的調漲但是仍然低於我們的成本導致台電公司目前仍持續虧損未來台電公司除了努力降低營運成本之外我們仍然需要政府的預算補助才能逐步改善我們的財務困境
transcript.whisperx[69].start 3103.393
transcript.whisperx[69].end 3108.377
transcript.whisperx[69].text 114年度預算編列情形公售電產銷營業目標114年度計劃售電量2450億度比113年度預算售電量2440億度增加5億度這是考量預估明年經濟狀況配合用電需求來做估編
transcript.whisperx[70].start 3128.294
transcript.whisperx[70].end 3139.74
transcript.whisperx[70].text 同樣在供電量方面是2,607億度比上年度的預算供電量2,587億度我們增加了20億度那一樣都是配合這個受電量的需求來顧邊
transcript.whisperx[71].start 3142.16
transcript.whisperx[71].end 3154.288
transcript.whisperx[71].text 除此之外在營業收支及營餘方面的估計方面114年度的預算總收入是1兆448億元總支出是9971億元收支相抵之後預計的稅前盈利淨利是77億元比上年度的預算虧損1887億元我們淨利增加了1964億元
transcript.whisperx[72].start 3168.098
transcript.whisperx[72].end 3183.731
transcript.whisperx[72].text 電費收入有增加另外就是中央政府的編列補助全民電費1000億的收入除此之外,台電公司為了配合經濟發展政府的政策以及用電需求讓我們持續開發電源並且進行電網投資114年度的固定資產投資計劃總共編列了2690億元其中專案計劃編列1457億元
transcript.whisperx[73].start 3195.06
transcript.whisperx[73].end 3201.806
transcript.whisperx[73].text 另外一般建築及設備計劃是編列1233億元在財務方面我們114年度台電公司預計我們舉借長期借款有3290億元作為來支應固定資產的建設改良擴充還有就是借款還本之用那預計我們還本是1185億元
transcript.whisperx[74].start 3219.7
transcript.whisperx[74].end 3240.891
transcript.whisperx[74].text 最後,臺電身為國營試驗以穩定供電為首要任務,我們將實際辦理機組更新改建、電網強韌以及部件儲能、智慧電網等等,來開發解禁電力,強化再生能源,來確保供電穩定。另外,為了邁向2050年近年轉型目標,我們會在電力供給、電網及用戶
transcript.whisperx[75].start 3242.592
transcript.whisperx[75].end 3264.378
transcript.whisperx[75].text 用電的需求等三大面向逐步來達到全體的淨零目標。 台電公司業務成本各位委員的鼎力支持我們今後仍將繼續請各位委員來給我們指導讓電業的經營能夠不斷繼續發展經濟以及增進全面福祉貢獻新力以上報告敬請各位委員的支持及指教謝謝大家
transcript.whisperx[76].start 3268.971
transcript.whisperx[76].end 3279.502
transcript.whisperx[76].text 謝謝台電公司王耀廷總經理針對台電營業預算概況做的報告。接下來請台灣自來水公司董事長李江董事長針對經營概況做報告。
transcript.whisperx[77].start 3288.408
transcript.whisperx[77].end 3309.678
transcript.whisperx[77].text 主席、各位委員、大院今天審查臺水公司114年度預算本人有機會就公司110年度的經營概況向各位委員會提出報告自感榮幸臺水公司堅固提供量足自由自來水質鏈物多年來積極致力於民生及工業用水質供應請就114年度經營概況收明如下
transcript.whisperx[78].start 3310.518
transcript.whisperx[78].end 3324.49
transcript.whisperx[78].text 一、建制調度備援幹管提升區域供水調配彈性,為強化水資源調度及備援能力。二、台水公司奉行政院合併推動備援幹管復建工程計畫,其成在110-115年,投入199.5億元,預計完成17條備援管線,完成後每日約可維持穩定供水量261萬。
transcript.whisperx[79].start 3336.661
transcript.whisperx[79].end 3359.05
transcript.whisperx[79].text 立方公示,臺水公司亦配合水利署執行的增速串相關的工程,包括北部石門水庫至新竹聯通管的計畫,中部臺中至營林區域水源調度管線改善計畫及大安大甲溪聯通管工程計畫,山南部正文南化聯通管工程,完成後將有效。
transcript.whisperx[80].start 3360.148
transcript.whisperx[80].end 3381.133
transcript.whisperx[80].text 提升供水穩定及水資源應用效力二、善用資訊科技持續降低漏水為健全供水管管系統提升供水品質及減少水資源浪費降低漏水力為臺水公司重大且持續性的工作現行降低漏水力計畫102至113年以12年間投入了經費1,003億元推動降漏相關工作
transcript.whisperx[81].start 3388.354
transcript.whisperx[81].end 3412.201
transcript.whisperx[81].text 漏水率已由101年底的19.55%降至112年底的12.54%亦即113年底降到目標12%以下下階段降低漏水率114到121年除依循全期計畫之執行成果與經驗積極降漏再增加維護管理執行重點
transcript.whisperx[82].start 3414.926
transcript.whisperx[82].end 3433.275
transcript.whisperx[82].text 該計劃將以8年間再籌入經費808億元,預計121年底漏水利降至9.77%以下,每年可節省約5910萬立方公尺的水量,約相當於1.17座湖山水庫有效的汐水容量。
transcript.whisperx[83].start 3434.735
transcript.whisperx[83].end 3455.628
transcript.whisperx[83].text 推動現代化淨水廠提升營業效能,臺水公司各型淨水廠共有478處,部分淨水廠因營業多年,設備逐漸老化,故即需逐年編列預算更新或汰換淨水廠處理設備,其仍符合水質標準穩定未來供水需求。
transcript.whisperx[84].start 3456.768
transcript.whisperx[84].end 3482.1
transcript.whisperx[84].text 經台水公司評估篩選出即期更新改善的進水廠共計21處其中短期已設備汰換既有建築物補強者亦即已115年以前完成改善11處的進水廠中長期需拆除重建或新建者有10處現正依其程辦理可行性研究等作業
transcript.whisperx[85].start 3483.28
transcript.whisperx[85].end 3504.535
transcript.whisperx[85].text 是加速無自來水地區供水改善提高供水普及率。 台水公司為上進企業社會責任近年已除夕辦理配合經濟部水利署無自來水地區供水改善計畫改善偏遠地區用水。 截至113年6月底,台水公司的供水普及率達95.08%。
transcript.whisperx[86].start 3511.632
transcript.whisperx[86].end 3538.173
transcript.whisperx[86].text 為持續改善及提升無自來水住戶的飲用水品質及配合政府照顧偏鄉政策經濟部水利署已於今年再提無自來水地區供水改善計畫第5期業奉行政院合定計畫期程114到118年台水公司將根系配合辦理自來水的沿管工程執行經費計75億元總收益戶一估有1.5萬戶
transcript.whisperx[87].start 3541.38
transcript.whisperx[87].end 3566.861
transcript.whisperx[87].text 實踐前流程水安全確保供水品質,為提升供水安全,海水公司參考世界衛生組織 及國際水協 推動水安全做法,訂定水安全計畫施行要點,辦理水源端到用戶端各環節風險的鑑別改善及確效,執行水質多重屏障管理,以確保
transcript.whisperx[88].start 3568.561
transcript.whisperx[88].end 3571.73
transcript.whisperx[88].text 以確保全流程水安全及供水品質
transcript.whisperx[89].start 3573.457
transcript.whisperx[89].end 3586.706
transcript.whisperx[89].text 6.推動淨零排放,減反極端氣候衝擊。 台水公司經營發展與自然環境息息相關,沿成立淨零轉型小組。 原定1.
transcript.whisperx[90].start 3586.706
transcript.whisperx[90].end 3588.327
transcript.whisperx[90].text 提升人員效率2.
transcript.whisperx[91].start 3588.327
transcript.whisperx[91].end 3589.788
transcript.whisperx[91].text 發展綠色人員3.
transcript.whisperx[92].start 3589.788
transcript.whisperx[92].end 3592.07
transcript.whisperx[92].text 推動綠色辦公4.
transcript.whisperx[93].start 3592.07
transcript.whisperx[93].end 3594.291
transcript.whisperx[93].text 提供綠色服務5.
transcript.whisperx[94].start 3594.291
transcript.whisperx[94].end 3601.696
transcript.whisperx[94].text 加強綠色生產及支援有效利用等五項淨零策略。 台水公司參照環境部溫室氣體減量目標。
transcript.whisperx[95].start 3603.537
transcript.whisperx[95].end 3608.743
transcript.whisperx[95].text 以分別訂定短中期檢探目標,後續將持續進行滾動檢討,朝139年達到淨領排放的長期目標邁進。歷行徵收檢資改善財務結構
transcript.whisperx[96].start 3622.967
transcript.whisperx[96].end 3646.906
transcript.whisperx[96].text 臺水公司配合經濟部水利署辦理水源調度政策執行各式重要投資工程及專案計畫致責救逐年增加又受升息及動力會增加影響導致營運成本節節上升面對經營困境未改善財務狀況臺水公司除定期召開經營收支控管會議
transcript.whisperx[97].start 3648.862
transcript.whisperx[97].end 3652.9
transcript.whisperx[97].text 針對各項年度可控的費用收入預算科目進行管控
transcript.whisperx[98].start 3654.558
transcript.whisperx[98].end 3677.812
transcript.whisperx[98].text 並加強發展各項開眼節流措施。 在開眼方面,臺水公司沿體火化不動產,發展太陽能延遜中心出租及代訓等相關措施,暨其增加公司收入。 在節流方面,臺水公司在滿足民生及經濟發展首席的用水避免切水危機的前提下,
transcript.whisperx[99].start 3678.942
transcript.whisperx[99].end 3696.46
transcript.whisperx[99].text 乃沿體降低沿侵水採購成本節約動力會支出節省債務利息等相關措施以蹲劫支出以上僅向各位委員報告台水公司經營概況敬請各位委員鼎力支持並請不任指教
transcript.whisperx[100].start 3698.976
transcript.whisperx[100].end 3709.715
transcript.whisperx[100].text 好,謝謝台水公司李家洋董事長針對基因概況所作的報告最後請台水公司李丁的總計針對一月預算概況作報告
transcript.whisperx[101].start 3715.917
transcript.whisperx[101].end 3743.132
transcript.whisperx[101].text 主席、各位委員、信封大院審查臺水公司114年度預算定來的列席報告自感榮幸臺水公司113年度預算執行情形及114年度營業預算內容檢要如後,敬請指教與支持113年度預算執行情形產交情形銷售水量截至10月底銷售水量為21.3億立方公尺為前年預算之81.43%生產水量截至10月底供水量為
transcript.whisperx[102].start 3745.054
transcript.whisperx[102].end 3762.595
transcript.whisperx[102].text 26.87億立方公尺為全年預算之82%收支盈虧截至10月底總收入為286.22億元總支出為315.31億元稅金虧損29.09億元主要原因是再生水、節水等政策影響受水收入未如預期
transcript.whisperx[103].start 3764.668
transcript.whisperx[103].end 3789.033
transcript.whisperx[103].text 連續3年電價調漲及利率維持高檔增加動力會及利息支出各項工程完工加入營運自責就會增加214年度預算編列情形主要營運目標銷售水量114年度計劃售水量為25.4億立方公尺較113年度減少0.77億立方公尺主要是考量在生水政策及用水需求編列
transcript.whisperx[104].start 3791.006
transcript.whisperx[104].end 3804.421
transcript.whisperx[104].text 計劃生產水量114年度計劃供水量為31.6億立方公尺較130度減少1.15億立方公尺主要是配合受水量及降低漏水計劃成果所編列營業收支及盈虧114年度預計總收入為328.9億元總支出為
transcript.whisperx[105].start 3811.448
transcript.whisperx[105].end 3831.843
transcript.whisperx[105].text 388.29億元預計稅前虧損59.34億元主要是給水收入減少、動力費、外包、利息及折舊等增加固定資產投資計畫,台水公司會配合經濟發展政府政策及用水需求持續辦理降低洞水域及各項設施、新構建等工程固定資產投資計畫共294.73億元
transcript.whisperx[106].start 3835.515
transcript.whisperx[106].end 3838.257
transcript.whisperx[106].text 營運資金來源預計舉借之長期借款為411億元主要是支運、償還救災及固定資產
transcript.whisperx[107].start 3844.994
transcript.whisperx[107].end 3870.564
transcript.whisperx[107].text 投資建設改良所用,預計償還到期長期債務283.1億元,為提供用戶量足自由自來水。台水公司將積極落實各項策略及盡辦理各項執行計畫,提升國民生活水準,促進經濟發展。以上報告,敬請各位支持與指教。好,謝謝台水公司理念總經理報告。
transcript.whisperx[108].start 3871.611
transcript.whisperx[108].end 3883.378
transcript.whisperx[108].text 這上面報告的各位官員今天不要整本照念可以的話則重點來做清楚的說明如果整本照念的話我用看的就好了好這個
transcript.whisperx[109].start 3888.064
transcript.whisperx[109].end 3903.516
transcript.whisperx[109].text 現在要開始進行詢答委員諮詢之前與主席願意做以下宣告本會委員發言時間本會委員6分鐘要時得延長2分鐘非本會委員4分鐘上午10點截止登記
transcript.whisperx[110].start 3907.597
transcript.whisperx[110].end 3932.438
transcript.whisperx[110].text 為了讓會議能夠順利進行以及每位委員發言的時間的公平性另外不要影響下位委員發言的權益在每位委員執行時間結束之後主席會立即請諮議委員停止諮詢請各位委員能夠配合感謝我們先確定上次議事錄請問各位同仁上次會議議事錄有錯誤
transcript.whisperx[111].start 3934.025
transcript.whisperx[111].end 3952.577
transcript.whisperx[111].text 沒有,我們就確定上次議事錄好,接著現在進行詢答第一位委員請陳庭薇委員我們請那個台電董事長台電政董事長還有我們經濟部長經濟部郭部長
transcript.whisperx[112].start 3962.62
transcript.whisperx[112].end 3985.09
transcript.whisperx[112].text 謝謝部長我想我們一直都在關心我們地方的問題在上一次的質詢我已經要求你們要去抓出這幕後的黑手為什麼我們台南的天然氣發電廠都可以橫著走但是好像我們也沒有得到中央有任何的訊息
transcript.whisperx[113].start 3986.854
transcript.whisperx[113].end 4009.591
transcript.whisperx[113].text 我必須再正式跟我們部長再把所有的資料再review一次寶春在台南開說明會我不知道寶春現在是到哪一個階段到處開說明會善話也開、觀點也開、麻豆也開他在開什麼啊然後搞得人心惶惶所有的里長都反對
transcript.whisperx[114].start 4010.97
transcript.whisperx[114].end 4038.564
transcript.whisperx[114].text 然後問他說請問你們要設在哪裡不知道然後勉勉強強說我要設在善化好善化我們也去找出這個土地在哪裡台台沒有同意台台沒有同意喔土地沒有同意我特別去調了你們在發電的整個申請設置的過程跟流程好我們現在來看寶川
transcript.whisperx[115].start 4041.687
transcript.whisperx[115].end 4054.773
transcript.whisperx[115].text 目前籌設的相關計畫書送了嗎?那個我們的董事長送了嗎?那個報告委員因為這個不會是台灣公司主管
transcript.whisperx[116].start 4055.435
transcript.whisperx[116].end 4057.277
transcript.whisperx[116].text 跟委員報告我們是民事合約不是這些政府管制事項
transcript.whisperx[117].start 4075.018
transcript.whisperx[117].end 4103.465
transcript.whisperx[117].text 對啊 你們是合約嘛才能跟你們進行採購招標嘛 對不對要有這六大文件嘛 對不對董事長你要說清楚啦 是不是兩個事情啦齁 你講的是六大文件這個六大文件是他要拿到電業當然相關執照的時候六大文件要跟台電取得一個合約的關係他不見得完成啦齁就是他要興建完成我們的合約好 那要跟你拿到合約到底要到什麼階段
transcript.whisperx[118].start 4104.685
transcript.whisperx[118].end 4121.781
transcript.whisperx[118].text 他要拿什麼東西來跟你申請合約他參加我們的招標要參加招標嗎那要拿哪些文件才能參加招標這個有不同的階段有不同的規定那基本上六大文件是他要拿到他的電業執照的時候六大文件要齊備
transcript.whisperx[119].start 4123.112
transcript.whisperx[119].end 4141.353
transcript.whisperx[119].text 當然那招標到底我要拿到哪些資料招標有部分的時間它可以候補就是環評當然可以候補嘛那哪些是一定要拿到你說環評跟地方政府的同意函可以候補但是投射計畫書要不要有要有嗎
transcript.whisperx[120].start 4143.956
transcript.whisperx[120].end 4165.712
transcript.whisperx[120].text 要不要有還是都可以候補跟委員報告他這個籌設計畫書這都是要送主管機關去審查的啦對嘛我知道就是他要跟你來進行招標的時候這些文件要不要備齊嗎要不要目前為止不需要就是現在不需要所以都不需要聽我講完不需要籌設也不需要環評也不需要地方統一書也不需要然後咧然後發電廠的電源線引接統一行要不要
transcript.whisperx[121].start 4171.988
transcript.whisperx[121].end 4172.909
transcript.whisperx[121].text 發言委員 您講的這些東西都要確定才能跟你們申請這個相關的合約嘛 對不對 所以我說有兩個階段嘛
transcript.whisperx[122].start 4187.944
transcript.whisperx[122].end 4208.744
transcript.whisperx[122].text 但是要跟你們申請這個合約一定要把這些籌建籌設的計畫書還有我們的這個發電廠的土地同意書還有我們的這個發電廠的電源線引接同意函對不對還有我們天然氣的供應的同意函
transcript.whisperx[123].start 4211.266
transcript.whisperx[123].end 4232.304
transcript.whisperx[123].text 參與投標要有這些文件對這些基本文件嘛起碼環評跟同意案你說那兩樣可以厚補可是這四樣是基本一定要拿到的這是他投標的時候要送來但是他們還沒有參與投標裡面總是沒有人民的同意書嘛人民同意書是在籌設的部分嘛地方的審核嘛對不對地方政府的同意書
transcript.whisperx[124].start 4233.348
transcript.whisperx[124].end 4247.521
transcript.whisperx[124].text 所以,台電如果依照這樣,寶春有送了這個合約了嗎?沒有嗎?那個,我們沒有開這個,就我們開的標,他沒有來投標,就沒有送這些東西所以就沒有嗎?所以到目前為止是沒有的,對不對?
transcript.whisperx[125].start 4248.702
transcript.whisperx[125].end 4267.087
transcript.whisperx[125].text 沒有嗎?目前為止沒有來投標嗎?來董事長麥克風講清楚到目前為止寶春有沒有來我們的台電針對我們台南的發電廠的這些相關資料來進行招標有沒有目前他們沒有來投標沒有嗎?沒有投標好來部長很清楚他沒有投標也沒有這些相關的資料那請問他在開什麼說明會啊?
transcript.whisperx[126].start 4278.473
transcript.whisperx[126].end 4303.914
transcript.whisperx[126].text 報告委員 這個可能是在環評上面 錯了 他也沒送環評他也沒送環評阿 他所有的資料都沒有阿 他在送什麼 他沒有送環評來 部長 土地同意書都沒有拿到了 他是要設在哪裡阿他開什麼環評阿 環評要不要土地同意書 要不要 要阿
transcript.whisperx[127].start 4309.793
transcript.whisperx[127].end 4332.091
transcript.whisperx[127].text 環評要不要土地同意書跟委員報告一下他這個說明環評要不要土地同意書你不要再跟我這樣說來說去啦環評要不要土地同意書啦需要需要嘛土地同意書台堂都沒有同意請問他設在哪裡講不清楚說不明白他在開什麼說明會他在開什麼說明會部長這很嚴重欸造成地方的恐慌
transcript.whisperx[128].start 4339.582
transcript.whisperx[128].end 4342.383
transcript.whisperx[128].text 他是誰在讓他靠我不知道但是他已經過分了亂開通造成地方的困擾第一時間在善化的時候也是胡搞瞎搞我們已經邀集相關單位去到現場已經跟他說了現在他開得更大從善化開到關鐵開到麻豆
transcript.whisperx[129].start 4369.676
transcript.whisperx[129].end 4376.721
transcript.whisperx[129].text 所有的資料都沒有都沒有耶最重要的土地同意書都沒有他到底要設在哪裡大家都不知道
transcript.whisperx[130].start 4381.584
transcript.whisperx[130].end 4404.551
transcript.whisperx[130].text 用騙的嗎?報告委員我想這個集會的這個過程齁那主管單位應該不是經濟部所以我們會要求這個地方主管單位來瞭解一下對啦現在都不是對現在都不是因為現在大家都在推皮球但是都說用電很重要那我都不知道難道用電重要就讓這些電廠橫著走嗎來部長我再請教一下申辦
transcript.whisperx[131].start 4411.798
transcript.whisperx[131].end 4435.664
transcript.whisperx[131].text 申報第一期欠地方21.6億的回饋金這很清楚了當時候在環評裡面是要求是要當時候我們整個收入不是淨值喔 是收入我們售電收入不是淨值喔售電收入這樣算起來就是21.6億的回饋金
transcript.whisperx[132].start 4438.38
transcript.whisperx[132].end 4453.509
transcript.whisperx[132].text 結果21.6億的回饋金現在一起欠我們這麼多你們沒有人敢處理現在居然申辦還可以用二期要沿用一期的管線再用50年沒有安全評估
transcript.whisperx[133].start 4455.123
transcript.whisperx[133].end 4470.596
transcript.whisperx[133].text 也沒有給我們回覆也沒有給我們答案然後再來專案型電協金因為我們的整個電業法裡面有說專案型電協金是年度電協金的30%完全淪為電廠的小金庫他在修理反對的聲音媒體都爆了喔媒體都爆了喔這一家電廠是某人的小金庫喔是誰的小金庫去查清楚
transcript.whisperx[134].start 4481.064
transcript.whisperx[134].end 4483.605
transcript.whisperx[134].text 謝謝主席,我想請郭部長請進一步,郭部長
transcript.whisperx[135].start 4517.844
transcript.whisperx[135].end 4530.798
transcript.whisperx[135].text 委員長部長早安我想請教一下為什麼原本預計12月台電要在美國場舉辦新場的完工典禮為什麼取消
transcript.whisperx[136].start 4533.128
transcript.whisperx[136].end 4554.377
transcript.whisperx[136].text 這個可能要問台積電真的嗎?你沒去了解嗎?台積電不是經濟部的子公司啦所以我當然知道你不是不是你們經濟部的子公司啊但是半導體相關的產業是台灣重要的命脈你上次說張忠謀董事長說全球化已死
transcript.whisperx[137].start 4555.197
transcript.whisperx[137].end 4561.867
transcript.whisperx[137].text 你認同是不是?那台積電的我們台灣的人才他們想要去美國設廠嗎?
transcript.whisperx[138].start 4564.212
transcript.whisperx[138].end 4584.879
transcript.whisperx[138].text 我們現在跟委員報告我們走向世界這個是必要的一個過程因為世界都需要台積電對台積電走向世界這是一個必然的一個現象但是因為台積電自有的我們現在台灣台積電大概整個加起來有8萬的員工
transcript.whisperx[139].start 4587.826
transcript.whisperx[139].end 4611.511
transcript.whisperx[139].text 我們台灣委員應該很清楚台積電幾乎在未來的十幾年應該如果按照他們的計畫這個可能當然是台積電自己報告了據我們側邊因為我們必須要準備水、電各方面給他我們自己討論的結果台積電很有可能一年在台灣蓋一個廠
transcript.whisperx[140].start 4613.809
transcript.whisperx[140].end 4627.189
transcript.whisperx[140].text 所以我們都必須要為台積電的這樣的一個繁榮給以祝福其實台灣但是你必須要了解台灣的高科技人才也許他們不想要離開而且
transcript.whisperx[141].start 4629.252
transcript.whisperx[141].end 4643.826
transcript.whisperx[141].text 美國的這種勞動的文化跟台灣也有大部分的差異所以在台積電在台灣所製造的這樣子相關的優勢能不能複製到美國會不會水土不合
transcript.whisperx[142].start 4645.229
transcript.whisperx[142].end 4669.467
transcript.whisperx[142].text 對不對報告委員是這樣子就我們所了解的部分因為文化的不一樣然後作業又要求要一樣這裡面當然有一些認知的差異所以當初這個美國大概派了700位工程師來台灣訓練訓練完了又回去那麼台灣本來去的人大概也是五六百個人去
transcript.whisperx[143].start 4670.228
transcript.whisperx[143].end 4685.505
transcript.whisperx[143].text 那我想這些都是一個新廠特別是在海外必須要有的部分因為這個半導體廠非常非常的複雜非常非常複雜他除了使用設備之外他個人的對半導體的知識
transcript.whisperx[144].start 4686.986
transcript.whisperx[144].end 4710.24
transcript.whisperx[144].text 跟他的經驗非常重要如果你今天從事的是一個先端科技的話幾乎沒有標準作業程序也就是說沒有SOP的那這種這個部分我想委員應該很清楚他在美國美國用的大概都是先端的技術其實這種先端技術在台灣其實也非常的少也非常的少
transcript.whisperx[145].start 4710.72
transcript.whisperx[145].end 4733.762
transcript.whisperx[145].text 那麼台積電投資那麼多的錢要兩三百億美金這個錢我相信他們會很審慎他們也希望在海外的廠能夠快速的成功所以這裡面他們非常的複雜好太複雜了我們講簡單的為什麼取消回到原題為什麼取消是不是川普對於台積電
transcript.whisperx[146].start 4735.163
transcript.whisperx[146].end 4762.096
transcript.whisperx[146].text 他當初就說我們是偷他的晶片嘛是不是他要對台積電科與重稅那我們都到美國去了我想要問台積電就是美國晶片法給予台積電的補償有沒有拿到?拿到了有拿到是不是那為什麼這個完工典禮為什麼沒有照時的舉行是不是新的川普政府對於台積電不會像過去一樣這麼支持?
transcript.whisperx[147].start 4763.857
transcript.whisperx[147].end 4779.047
transcript.whisperx[147].text 報導委員這個台積電在亞利桑那這個場事實上是在川普上一任的時代的時候所做的決定的所以這個應該川普都不參加我不太清楚這個可能要台積電來做決定這樣
transcript.whisperx[148].start 4781.408
transcript.whisperx[148].end 4808.233
transcript.whisperx[148].text 所以川普就不參加還有我下一個問題是為什麼我想要請問我們現在稅前這是1到9月台電的損益表如果昨天在省追加預算1000億那如果我們撥補是在收入裡面那代表了台電的這個是不是今年就會有盈餘了那為什麼明年還要1000億
transcript.whisperx[149].start 4810.87
transcript.whisperx[149].end 4823.858
transcript.whisperx[149].text 因為是有累積虧損存在那我想在他的資產上面資產負債表上面可以明確的來看得出來所以我們應該是這樣就是說他過去累積目前還有3000多億還有3000多億的這個虧損這個會影響他的財務
transcript.whisperx[150].start 4827.58
transcript.whisperx[150].end 4831.504
transcript.whisperx[150].text 你今年已經漲電價了欸你趕快轉頭看看他們兩位今年已經給人家漲兩次電價了欸你看看去年的稅前盈餘在同期的時候是負1500多億欸你今年已經縮減到負278億欸
transcript.whisperx[151].start 4851.604
transcript.whisperx[151].end 4856.865
transcript.whisperx[151].text 你現在要來跟人家要錢如果給你追加一千億你就已經盈餘啦那你明年度那你說 什麼樣的狀況下你明年度不會賺錢如果我們今年給你一千億你要講嘛你要討錢要有道理嘛 對不對
transcript.whisperx[152].start 4870.409
transcript.whisperx[152].end 4881.995
transcript.whisperx[152].text 當然 報告委員 現在這是這樣就是說立法院的一層額是來幫助我們的債務的經營更好幫助我們債務經營更好 我去跟人家求情 利息就可以更便宜我們的利息經營不太好 所以我們盡量改善債務經營 先說我們看過期有什麼趨勢 過期的趨勢裡面我們要買材料要想幾 我們醫藥材料想辦法
transcript.whisperx[153].start 4899.665
transcript.whisperx[153].end 4902.566
transcript.whisperx[153].text 今天給你一千億,為什麼一定有盈餘啊?為什麼明年還要給你一千億?你講不出來啊,對不對?報告委員,這是這樣,過去三年,我們已經知道了,過去的氣氛比較多,我們的民間的電,我們現在都動輒你今年就賺錢了,我們今年這一千億通過的話,你就賺錢了
transcript.whisperx[154].start 4928.218
transcript.whisperx[154].end 4953.285
transcript.whisperx[154].text 你如果賺錢的話,你明年有什麼要跟別人討錢?對不對?還有什麼?這個補助的部分,事實上是在補他的這個虧損的部分所以你說補助現在他賺錢,但是他不是實力上面的賺錢不是他自己的能力的賺錢所以我們在補過去的3000多億,事實上明年
transcript.whisperx[155].start 4954.305
transcript.whisperx[155].end 4967.2
transcript.whisperx[155].text 你講不出來啦!你講不出來啦!你這個人你就賺錢啦!你給人家賺一千元你就賺錢啦!沒有啦!沒賺錢啦!你自己當你算小算什麼!你是企業家你最清楚了啦!我非常清楚!幫我委員這個部分齁!
transcript.whisperx[156].start 4969.622
transcript.whisperx[156].end 4986.83
transcript.whisperx[156].text 我們在補過去的虧損補過去的虧損讓我們在財務上面我們還是要繼續借錢我們當然非常的努力我們要非常的努力讓明年是可以賺錢的但是這個賺錢還是沒有辦法補過去虧損的部分我在問你最後一個問題美國現在他們已經說了核電要增加兩倍預計2050年前要增加
transcript.whisperx[157].start 4999.275
transcript.whisperx[157].end 4999.536
transcript.whisperx[157].text 臺灣的核能政策
transcript.whisperx[158].start 5010.504
transcript.whisperx[158].end 5010.644
transcript.whisperx[158].text 臺灣的核能
transcript.whisperx[159].start 5040.664
transcript.whisperx[159].end 5065.924
transcript.whisperx[159].text 好,那要跟進喔好,謝謝委員好,謝謝師傭委員部長先回座來,我們下一位諮詢請邱益穎委員好,謝謝主席,我是不是先請部長請經濟部郭部長
transcript.whisperx[160].start 5069.07
transcript.whisperx[160].end 5095.108
transcript.whisperx[160].text 跟那個臺水臺水李董事長委員長早安部長早部長我想我們今天討論水跟電那當然還是要來談一下這個水電的供給的問題這個卓院長前幾天有去參加這個自來水節他也特別提到未來會有106億要去補助無自來水地區
transcript.whisperx[161].start 5096.108
transcript.whisperx[161].end 5110.96
transcript.whisperx[161].text 我們也看到在這個前瞻計畫的編列裡頭其實你們現在已經把無自來水地區的這個沿管的費用一般地區從每一戶60萬增加到80萬原住民區域大概也是從60萬增加到100萬
transcript.whisperx[162].start 5113.321
transcript.whisperx[162].end 5139.049
transcript.whisperx[162].text 這個看起來這個錢是增加了但是你的160億要做在無自來水地區我們現在的全國的供水率是達到95%剩下的那個5%其實是難度很高如果這麼簡單的話這個5%早就達成了嘛政府每年編了那麼多錢我先講第一件事情我覺得台水公司在過去的幾年其實非常的努力包括我們的降低漏水率的部分
transcript.whisperx[163].start 5139.769
transcript.whisperx[163].end 5156.594
transcript.whisperx[163].text 包括這一些自來水沿管的工程的部分這個我必須給予肯定甚至在前兩個颱風的時候我們在六龜有一個工作人員為了去巡視六龜的淨水場差一點被土石流掩埋所以我覺得這個我們應該某個程度上要給台水公司肯定
transcript.whisperx[164].start 5157.094
transcript.whisperx[164].end 5183.908
transcript.whisperx[164].text 但是口頭的肯定是不夠的所以我非常同意那一天卓院長特別講到了所謂的技術加急這件事情喔技術加急這個事情當然是卓院長現在提出來的但是我們現在可能在預算裡頭是看不到的 對不對董事長現在在你們的還是部長您可以回答在預算裡頭現在還是看不到的嘛所以你的技術加急會從什麼時候開始我們現在在演繹中我希望能夠越快越好
transcript.whisperx[165].start 5184.622
transcript.whisperx[165].end 5203.285
transcript.whisperx[165].text 希望愈快愈好,但是你現在的預算已經編列完整已經送到立法院來來,所以你最快也是要明年嗎?還是你可以從其他的地方去運資?那個是在我們從技術上面來提升技術上面來提升是怎麼樣提升?技術加急董事長你要回答嗎?
transcript.whisperx[166].start 5205.916
transcript.whisperx[166].end 5221.837
transcript.whisperx[166].text 跟委員報告我們114年度已經有編用聯會例裡面也有一個調新的計畫那院長所以你這個是做在調新計畫裡頭不是另外再編一個所謂的技術加擠這樣的一個項目他整體還是在我們的用聯會裡面
transcript.whisperx[167].start 5224.914
transcript.whisperx[167].end 5240.966
transcript.whisperx[167].text 這就是我剛剛特別講到的你們的沿管備用的增加包括這些改善其實我有一個想法這個我也曾經跟自來水公司跟水利署也討論過我在這邊也提出來跟部長做參考就是說
transcript.whisperx[168].start 5242.088
transcript.whisperx[168].end 5254.903
transcript.whisperx[168].text 現在自來水未普及的地方大多是在偏鄉在山上在部落所以如果你從山下要拉自來水管線到山上去你所用的這些費用比如說我現在看到原鄉
transcript.whisperx[169].start 5259.465
transcript.whisperx[169].end 5280.524
transcript.whisperx[169].text 一戶你給他增加到100萬其實還是遠遠不足啦那如果我們能夠在偏遠的山區用簡易自來水但是我要求也拜託自來水公司參與所謂的簡易自來水的建造計畫簡易自來水塔的建造計畫提升水值
transcript.whisperx[170].start 5281.184
transcript.whisperx[170].end 5307.563
transcript.whisperx[170].text 現在的簡易自來水塔其實是非常簡單它就是叫簡易真的是非常簡易如果它能夠加入台水的技術把這個簡易自來水塔的淨化水質的技術把它提升讓偏遠的山區的人也能夠享有跟自來水一樣的水質的話那我想其實可以不用花到那麼多錢從山下沿管到山上去部長您同意我的看法嗎
transcript.whisperx[171].start 5308.263
transcript.whisperx[171].end 5334.459
transcript.whisperx[171].text 非常同意謝謝委員這個指教我們自來水公司有非常多的這方面的技術所以我們可以完全按照委員的指示這樣方向來努力所以我覺得這個可能讓經濟部從水利署跟自來水公司雙方面甚至跟地方政府因為你們要找設置減水站的地方是要地方政府去做配合所以我希望能夠三方一起合作然後達到
transcript.whisperx[172].start 5335.68
transcript.whisperx[172].end 5355.988
transcript.whisperx[172].text 自來水的普及率最少我在偏遠的山區我有減益自來水我的水值其實是還可以達標的我想這個方向我們一起來做努力謝謝委員我們一起努力接下來自來水公司請回接下來我要講到電費的問題部長您有沒有去住官邸
transcript.whisperx[173].start 5358.049
transcript.whisperx[173].end 5363.13
transcript.whisperx[173].text 台灣電力股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份
transcript.whisperx[174].start 5385.134
transcript.whisperx[174].end 5403.123
transcript.whisperx[174].text 大概兩期到一千度左右你知道你官邸的電器是不是都是節電設施不方便回答我告訴你其實我一進去就因為我怕開冷氣所以我都吹電風扇這個部長
transcript.whisperx[175].start 5406.26
transcript.whisperx[175].end 5422.227
transcript.whisperx[175].text 我覺得齁這個就是台灣的一個問題啦我為什麼會問這個例子行政院長的官邸被修理說這個電費很高後來台電去做了一個調查才發現79%是維安人員使用只有21%是院長的住處使用那
transcript.whisperx[176].start 5427.009
transcript.whisperx[176].end 5442.063
transcript.whisperx[176].text 左院長也沒有住在裡面所以那個21%大概也是屬於繳基本電費而已但是有一件事情是你們沒有說的就是在這一些官邸裡頭的電器設備都非常老舊
transcript.whisperx[177].start 5443.891
transcript.whisperx[177].end 5462.2
transcript.whisperx[177].text 你比如說台電的董事長你不敢換電器設備但是你又怕被人家罵說你浪費電所以你只好吹冷氣你就過著原始人的生活你只好吹冷氣你的官邸裡頭有8台冷氣機但是你每天吹電扇對不起你每天吹電扇不是吹冷氣你就每天吹電扇
transcript.whisperx[178].start 5463.737
transcript.whisperx[178].end 5476.941
transcript.whisperx[178].text 我們的行政院的首長宿舍部長你沒有去住你不知道首長宿舍裡面燈也沒有換不敢換冷氣設備也沒有換都不是節電設備
transcript.whisperx[179].start 5479.102
transcript.whisperx[179].end 5495.573
transcript.whisperx[179].text 所以你現在看府院各部會的水電預算都比去年還增加你們的說法當然是說因為過去政府有編列預算直接去補貼現在沒有了回歸各部會自己去付但是其實沒有去做過盤點
transcript.whisperx[180].start 5497.034
transcript.whisperx[180].end 5512.453
transcript.whisperx[180].text 如果經濟部能源局去做過一個盤點所有的部會裡頭的設施基本上因為怕被攻擊怕被說浪費所以都是20幾年前的舊電器啊
transcript.whisperx[181].start 5513.698
transcript.whisperx[181].end 5534.348
transcript.whisperx[181].text 報告委員我們現在在執行一個新的叫做深度節能的計畫ESCO這個計畫就是針對這一些深度節能計畫是只有執行在你經濟部嗎還是所有行政院的各部會都有我們這是全國啦全國的公務系統通通在做這個深度節能計畫
transcript.whisperx[182].start 5535.228
transcript.whisperx[182].end 5547.983
transcript.whisperx[182].text 那你的深度節電計劃有去做最基本的我想你們的辦公廳社、官社這一些最基本的從最基本的節電計劃開始做現在在進行檢測也就是說先檢查哪邊是老舊的跟他檢查身體一樣
transcript.whisperx[183].start 5551.687
transcript.whisperx[183].end 5554.11
transcript.whisperx[183].text 現在開始做檢測我們在跟民眾說你要節電要換變頻要怎樣電費也要換LED結果政府單位現在開始做檢測太歡幸了
transcript.whisperx[184].start 5566.764
transcript.whisperx[184].end 5595.071
transcript.whisperx[184].text 所以我們一直跟民眾說叫人們要換節電設施結果政府單位自己不敢換有啦有在換政府單位現在才在做檢測這實在是很漏氣很漏氣的事情啦是是不然的話我是希望說你們的這個ESCO的這個服務啊是不是能夠加快腳步是的那我覺得今天我的質詢大概行政院長也能夠聽得到啦上次我在這裡罵你行政院長也可以聽得到所以如果是這樣我覺得行政院應該是要帶頭
transcript.whisperx[185].start 5596.751
transcript.whisperx[185].end 5625.479
transcript.whisperx[185].text 趕快把這個ESCO的這個服務落實讓各部會都能夠加速的來進行節能的這個計畫跟政策好嗎?是是謝謝委員謝謝秋英委員聽秋英委員質詢彷彿大汗逢剛臨長夜玉冥燈令人敬佩消費諮詢請林大化委員
transcript.whisperx[186].start 5628.464
transcript.whisperx[186].end 5631.585
transcript.whisperx[186].text 有請部長請郭部長委員長好 部長本席針對台電跟台水那我們先從台電台電的這個福利金這個我本席認為應該要檢討那原因是什麼少子化導致國營事業員工的招聘困難
transcript.whisperx[187].start 5656.952
transcript.whisperx[187].end 5672.322
transcript.whisperx[187].text 那民間的企業薪酬的條件都已經優於國營事業的給付基礎在薪酬規範的限制下如何藉由其他的福利跟保障將成為國營事業招聘薪水的關鍵好那這個福利金呢是不是這個
transcript.whisperx[188].start 5674.804
transcript.whisperx[188].end 5690.902
transcript.whisperx[188].text 在這個福利金的算法其實福利金不是給所有的員工他是在一個專款專戶當中那他的算法是福利金的預算是來自營業收入的總額乘以福利金的提撥
transcript.whisperx[189].start 5692.263
transcript.whisperx[189].end 5717.201
transcript.whisperx[189].text 這個算完之後還要扣這四項因為這四項認為說這個不是員工努力的所以我應該要扣除它第一個要扣除政府補助的收入要這個福利金的計算當中還要扣除這個政府補助的收入這要提出掉不能算入福利金的計算的增加的因素那核能後端的營業收入也要扣掉電價調漲
transcript.whisperx[190].start 5720.503
transcript.whisperx[190].end 5730.191
transcript.whisperx[190].text 這是不是會增加營業收入這件事情也要扣掉這個電腦有問題好嗎電腦有問題我們先停止一下好不好時間先暫停我們時間先暫停好來
transcript.whisperx[191].start 5749.583
transcript.whisperx[191].end 5776.377
transcript.whisperx[191].text 好 這個畫面不對好 OK 那我們恢復 謝謝主席好 那第四個要扣除的非屬員工共限制收入這四個其實有道理但是我認為檢討的這是第三項電價調漲的因素我先回顧之前這個提撥的比例我們其實法定的提撥比例也就是上面那個公式上頁的那個公式右邊的福利金提撥率
transcript.whisperx[192].start 5777.838
transcript.whisperx[192].end 5782.383
transcript.whisperx[192].text 這個提撥率法定的是要0.15%可是我們從來沒有提撥滿額到0.15%我們最多就是到110年的0.12%好我們看
transcript.whisperx[193].start 5792.794
transcript.whisperx[193].end 5814.376
transcript.whisperx[193].text 會有包括提撥率最低的時候是民國97年的時候提撥率才0.1%我們法定是0.15為什麼因為那時候民國90年說應該把電價調漲這件因素把它剔除掉電價調漲會增加收入所以我應該剔除掉在當時的時空背景97年立法院的附帶去本期支持
transcript.whisperx[194].start 5815.077
transcript.whisperx[194].end 5827.234
transcript.whisperx[194].text 因為他那時候的這個相關的油料啊這個相關的都下降嘛所以這個台電是這個營收非常的豐厚所以你還去調漲電價那這怎麼可以變成是員工的這個因素呢好
transcript.whisperx[195].start 5831.52
transcript.whisperx[195].end 5843.084
transcript.whisperx[195].text 那現在的情況不一樣囉現在是我們的二屋戰爭也好那美中的這個區域經濟的競爭也好導致說我現在把我的這個電價的調漲這件事情納入我要福利金是不是也應該要把扣除掉這件事情我認為是應該要檢討的所以今天我們會調降電價的調漲這個是人員政策啊
transcript.whisperx[196].start 5859.549
transcript.whisperx[196].end 5876.781
transcript.whisperx[196].text 這個不是台電阿這個電現在的電價調漲是為了彌補台電購電成本的增加並非台電員工不努力可是我現在的人員政策電價調漲變成處罰台電員工了我必須扣除台電同仁的福利金阿
transcript.whisperx[197].start 5877.762
transcript.whisperx[197].end 5892.664
transcript.whisperx[197].text 所以本席主張應該要檢討臺電同仁的福利金這一樣維持90之年的提案只是有一個但書臺電不得以電價調漲所增加的營業收入來增加員工福利金但
transcript.whisperx[198].start 5893.404
transcript.whisperx[198].end 5912.549
transcript.whisperx[198].text 在營業總額有盈餘的情況之下這不再實現也就是說只要有盈餘當然我的你還敢去漲電價再增加我本來已經有盈餘再去再去再去漲那當然我就必須把你的這個福利金當中應該扣掉這個因素所以我覺得做應該要做這樣的調漲也就是說電價調漲用於是在彌補台電虧損的情況之下
transcript.whisperx[199].start 5919.552
transcript.whisperx[199].end 5936.625
transcript.whisperx[199].text 則應該刪除電價調漲作為福利金的檢向部長你怎麼看我認同委員的這個槌尋這個部分我們回去根據您的這個槌尋我們來討論一下我們來檢討一下大概多久
transcript.whisperx[200].start 5939.179
transcript.whisperx[200].end 5964.893
transcript.whisperx[200].text 這個部分我想 這個因為是法規定的啦 這個只是員工裡面的 這個只是附帶決議你們的內規 是不是我讓那個我跟委員報告 第一個就是我們台電公司的福利金的總額從來沒有減少過 而且是在往上升的因為他每年會看狀況不一樣 那剛委員所提的說是不是營業收入這個部分會受電價 這個我們會去檢討
transcript.whisperx[201].start 5967.314
transcript.whisperx[201].end 5989.042
transcript.whisperx[201].text 但是我要跟委員報告就是說所有員工的那個福利金我們從來沒有減少過一塊錢是往上升的是是但是你的總額是在減少的嗎沒有沒有總額是在上升總額在上升對我要跟委員特別報告所以每個人的平均的那個福利金也是在上升的所以我們要考慮到四家公司有油電糖水四家因為營業狀況不一樣他的福利金可能會不一樣那我們這個會去檢討大概給我們一個月的時間
transcript.whisperx[202].start 5992.303
transcript.whisperx[202].end 6019.952
transcript.whisperx[202].text 好 那我們來看台水虧損有4個原因養父面積太大了 台水現在有超過7萬6千公里的自來水管需要維護跟更新 第二個水價長期一國兩制 這是本期要質詢的重點根本就對我全台灣人民來講完全沒有用水正義 水費的規則是偏利於用水大戶的 像台積電等等這些都是叫做用水大戶 但是他們
transcript.whisperx[203].start 6021.673
transcript.whisperx[203].end 6044.341
transcript.whisperx[203].text 所收的費用他們的耗水之高我們在台水北水是要給他規定的但是台水是沒有的再來第三成本上漲利息沉重第四個自行舉債舉措經費我們現在非常自豪的我也非常肯定台水的那個漏水利的一個減少但是是他們舉債
transcript.whisperx[204].start 6046.303
transcript.whisperx[204].end 6057.018
transcript.whisperx[204].text 這是舉在來降低我們的漏水率那7萬6千公里的管線維護的成本高我們看世界各國主要城市的漏水率右邊這張圖我們排在第6名
transcript.whisperx[205].start 6061.484
transcript.whisperx[205].end 6082.63
transcript.whisperx[205].text 這個是不容易耶,雖然我們離法國那個第5名12.54%到9%我們還差了3點多%這其實是有點差距但總是我們有第6名那這7萬6千公里的這個管線全台灣這個是什麼概念就是繞地球兩圈的管路概念那台水這樣的漏水力還能夠維持
transcript.whisperx[206].start 6083.81
transcript.whisperx[206].end 6108.518
transcript.whisperx[206].text 還能維持這麼高我覺得真的是了不起那他付出了什麼代價他付出了全台灣他只有80位的水醫生這個水醫生每天都要走上萬公里啊然後再來他付出什麼代價只要我們全台灣哪裡有地下水管破裂水公司一定都第一次第一線每幾分鐘十分鐘內都一定要趕快抵達否則一定會被罵臭頭
transcript.whisperx[207].start 6109.918
transcript.whisperx[207].end 6132.503
transcript.whisperx[207].text 好可是他的這樣的維護成本之高維持這麼低的這個漏水率但是他付出這樣的代價好那但是呢他也自負盈虧舉債來修漏水我們從102年到113年有效的降水這樣降水的這個比例降了7.55%也就是降低漏水率超過一座的10門水庫達2.5
transcript.whisperx[208].start 6134.923
transcript.whisperx[208].end 6135.644
transcript.whisperx[208].text 臺水的借款負債達1044.25億新台幣
transcript.whisperx[209].start 6158.844
transcript.whisperx[209].end 6175.549
transcript.whisperx[209].text 這對一家公司來講這不破產才怪那再來呢所以這邊我具體要求第一個比照台北自來水事務處研議每月用水1000噸以上的用水大幅新增收費集聚來漲水用水增益用水增益是對全台灣2300萬人民我說對台積電這種用水大廠
transcript.whisperx[210].start 6180.851
transcript.whisperx[210].end 6209.439
transcript.whisperx[210].text 你絕對只要水電限電限水都限在什麼地方限在人民用水限在農業用水限在中小企業的用水台積電等這種耗水廠你絕對不敢給他限水或者停電絕對不敢可是我是用人民可是你不敢去找我們的台水公司不敢我不曉得什麼理由你們不敢去對比照這個北水台北市做得到你反而做不到欸
transcript.whisperx[211].start 6210.519
transcript.whisperx[211].end 6222.469
transcript.whisperx[211].text 跟你的用水爭議在哪裡我用人民的納稅人大部分百分之百的納稅人去支持你大企業限電限水的時候又他們不停我們所有人都要停這個叫截貧什麼濟負啊就是這種髒水爭議那第二個呢這個虧損啊1044億當中請
transcript.whisperx[212].start 6230.436
transcript.whisperx[212].end 6253.423
transcript.whisperx[212].text 那個經濟部也比照台電、中油請經濟部向中央爭取兩年爭取撥補來解決台水的負債第三個我們進行老舊管線正式編預算來降低百分之二再降低百分之二的這個漏水率部長您針對台水這個用水正義的部分您怎麼回覆以及在撥補的部分您要不要做努力我們會來努力
transcript.whisperx[213].start 6253.883
transcript.whisperx[213].end 6254.924
transcript.whisperx[213].text 部長先回座
transcript.whisperx[214].start 6295.396
transcript.whisperx[214].end 6307.967
transcript.whisperx[214].text 下一位質詢請賴立榮委員好謝謝主席齁主席加油齁來請郭部長請經濟部郭部長部長
transcript.whisperx[215].start 6314.281
transcript.whisperx[215].end 6337.852
transcript.whisperx[215].text 那個我看一下那一天在這個質詢的時候被國民黨籍的副會計委員指控你說你規避財產申報把股份轉給兒子用兒子當人頭部長有這樣的事嗎我一切都是按照這個法律規定在進行那我並不是轉給他
transcript.whisperx[216].start 6339.926
transcript.whisperx[216].end 6351.011
transcript.whisperx[216].text 我是轉給公司轉給一家投資公司所以我想這個可能是他在這部分沒有了解得很清楚對我來講
transcript.whisperx[217].start 6355.083
transcript.whisperx[217].end 6380.511
transcript.whisperx[217].text 我是一切都依法行事但是對不實的指控我會馬上的提出我想有任何不實指控都要表達強烈的抗議跟澄清讓社會知道因為如果一個成功的企業家那進入到政府機關來服務的話特別是進入到來服務的話那如果可以被這樣攻擊跟抹黑的話那未來會更多我們更難找到更多的人願意來為國家服務
transcript.whisperx[218].start 6382.577
transcript.whisperx[218].end 6409.378
transcript.whisperx[218].text 我都堅決的主張不管是從政務官、文官都要極力的捍衛要捍衛這樣子才有辦法讓這個整個更多的人才願意在政府部門服務我相信郭董絕對不缺錢郭部長也絕對不缺錢那你也不會你也不是來這邊賺錢的你是來替國家服務的那至少這樣的必須要讓社會各界都要清楚謝謝委員讓我在這個地方有機會澄清我確實
transcript.whisperx[219].start 6411.199
transcript.whisperx[219].end 6430.241
transcript.whisperx[219].text 來服務這個國人國家我是基於說這個在目前這這麼好的一個經濟情形那過去我所學的跟我我的經驗有辦法幫助這整個的部門來提升所以我才進來公務
transcript.whisperx[220].start 6431.542
transcript.whisperx[220].end 6456.336
transcript.whisperx[220].text 那對我來講我其實這個年紀我也不會再去求什麼更高的這個權位沒有必要我想我都犧牲我自己的收益了嘛我怎麼會在這個以公謀私呢這樣的一個指證我是有辦法接受的所以這個一定要強力的那最後我還是提醒其實部長因為從業界來但是其實在經濟部下有非常多優秀的文官
transcript.whisperx[221].start 6456.816
transcript.whisperx[221].end 6482.384
transcript.whisperx[221].text 非常有經驗非常豐富真的可以多考慮聽他們的一些建議齁搭配你在民間的一些想法輔佐這些民間的這些包括優秀文官的我相信經濟部會有很好的一些氣象希望部長可以多參財我們經濟部確實是有非常多優秀的這些文官那我們當然會共同努力啦為這個將來經濟部的工作我們打造一個更好的願景好 謝謝
transcript.whisperx[222].start 6483.365
transcript.whisperx[222].end 6489.733
transcript.whisperx[222].text 時間有限,我接下來問一下,台積電2奈米在高雄的試作場沒有問題吧?沒有問題那台積電現在美國川普上來之後,他還是會積極爭取,那2奈米會到美國去?
transcript.whisperx[223].start 6499.886
transcript.whisperx[223].end 6516.738
transcript.whisperx[223].text 在一定的時間他也會走向這個因為市場有需求我想經營一個企業我們到海外大概兩個基本的要件第一個就是我們看到那個市場有需求第二個看到那個國家有我們需要的資源
transcript.whisperx[224].start 6517.818
transcript.whisperx[224].end 6547.198
transcript.whisperx[224].text 這個是我們發展這個國際企業最重要的兩個關鍵因素那麼台積電到美國要不要兩奈米的這樣的一個製程過去我想要看美國的市場需求第二個台積電不是去那邊做善事的是他那個公司他是百分之百的子公司基於經營公司我今天在海外經營一個公司一定要能夠賺錢是一定要能夠賺錢所以對他來講沒有把握的製程是不可能往外走
transcript.whisperx[225].start 6547.438
transcript.whisperx[225].end 6555.788
transcript.whisperx[225].text 所以其實到美國這個部分還沒有完全那個但是高雄的這事做事確定的沒問題嘛對不對高雄的現在是蓄勢待發
transcript.whisperx[226].start 6557.649
transcript.whisperx[226].end 6582.206
transcript.whisperx[226].text 跟部長確認不會有變數就好另外我請教一下MVDR到這個人工智慧創新研發中心在高雄的計畫有沒有改變沒有一樣繼續進行到持續來進行會投資243億的一個經費那AMD的部分研發中心在高雄雅灣的部分這個也在進行當中嗎現在AMD的部分就我所了解他是跟那個中山大學
transcript.whisperx[227].start 6582.927
transcript.whisperx[227].end 6598.711
transcript.whisperx[227].text 中央電力股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份
transcript.whisperx[228].start 6599.972
transcript.whisperx[228].end 6627.306
transcript.whisperx[228].text 這個智慧這一塊投入了相當多的心力我們希望部長全力的來支持讓雅灣有機會南北這一塊的平衡上面能夠做得更好讓雅灣過去從工業的城市有機會轉型成這個AI智慧的一個城市好不好是好謝謝再要請教一下電力的問題其實我們看了一下電力其實政府都做了充分的一些供應那其實我們的策略上大概就是減煤、增氣同時再生能源持續發展同時儲能
transcript.whisperx[229].start 6628.607
transcript.whisperx[229].end 6644.74
transcript.whisperx[229].text 部長是這樣的方向嘛對不對是的所以到2023年我看幾乎所有的這個備轉容量的部分其實都是做一個很好的一個我看甚至有到20幾的部分這應該都是相當好的一個數字狀況了這邊董事長要說明嗎還是
transcript.whisperx[230].start 6648.319
transcript.whisperx[230].end 6649.88
transcript.whisperx[230].text 有限公司、台灣自來水股份有限公司
transcript.whisperx[231].start 6669.557
transcript.whisperx[231].end 6696.184
transcript.whisperx[231].text 反而很可惜很多國家是羨慕台灣走得這麼快結果我們被某些因素拖住了特別是惡意用地方因素來抹黑攻擊我希望部長都要強力的澄清好不好這絕對是個正確綠電包括這個淨零碳排這一塊絕對都是未來趨勢一定要走的那我們也努力的做了蒸汽的部分也在做了那甚至於除電我們也在做了所以我都希望未來包括
transcript.whisperx[232].start 6696.904
transcript.whisperx[232].end 6718.604
transcript.whisperx[232].text 部長這邊都能夠持續支持讓我們的電力能更加的穩定讓我們的這個國家、經濟、民生都能夠持續的發展好不好好的 謝謝再來我請教要用電卻不發電其實這是我一直長期質疑的問題北部是最明顯北部幾乎是發用他需要的電量是遠遠不足他的發電量
transcript.whisperx[233].start 6719.841
transcript.whisperx[233].end 6749.021
transcript.whisperx[233].text 他連高雄的部分連第7接收站都在做了高雄有40%電力是中送北送都已經在做第7接收站了而北部的部分這些卻不進行我覺得這一塊部長還是要持續的去要求啦齁如果北部的部分在電力上面始終你連電廠也不蓋你連變電所也不蓋那電要從哪裡來你的產業發展哪裡來你要招商的時候你的電哪裡來所以我覺得這個同時間在未來有更多招商還是要持續的講
transcript.whisperx[234].start 6750.66
transcript.whisperx[234].end 6765.622
transcript.whisperx[234].text 南部有電南部超前部署了很多電我們現在還在幹新的燃氣電廠超前部署這是為國家在部署但是也是為南部在部署我們希望在未來有更多招商機會的時候部長應該鼓勵更多企業往南部思考因為電力是充足的
transcript.whisperx[235].start 6765.822
transcript.whisperx[235].end 6786.452
transcript.whisperx[235].text 是謝謝委員我想這個電力充足的地方將是未來廠商前往的地方這個就是大家平常在講的花若盛開蝴蝶自來所以我想我們高雄南部如果他是充分的電力廠商在選擇的時候他不會說要持續的鼓勵跟溝通好不好要請他們要持續往南部去思考不要這個
transcript.whisperx[236].start 6788.573
transcript.whisperx[236].end 6815.654
transcript.whisperx[236].text 投資在北部電區要南部送上來這是毫無道理我們是盡量在北部的這個需求的話我們也是滿足那北部也要請他們要持續思考啦在電力上面的更新有燃氣電廠的更新等等要做包括再生能源包括那些推最後一個問一下漏水率部分其實我之前也關於過這幾年我們的稅收狀況不錯經濟狀況不錯部長要不要考慮跟院長爭取一下來讓那個漏水率來做一個有效的改善
transcript.whisperx[237].start 6816.354
transcript.whisperx[237].end 6816.514
transcript.whisperx[237].text 請回座
transcript.whisperx[238].start 6842.987
transcript.whisperx[238].end 6847.709
transcript.whisperx[238].text 待會我們到政政前委員執行會我們會休息下一位執行請張祺凱委員
transcript.whisperx[239].start 6872.908
transcript.whisperx[239].end 6900.088
transcript.whisperx[239].text 請進部副部長委員好 部長好早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早 早
transcript.whisperx[240].start 6901.753
transcript.whisperx[240].end 6923.46
transcript.whisperx[240].text 不當的錢要去追回來包括要補償的這錢有一個點你這段時間一定要很注意的就是未來還有很多人要求跟臺元要求償因為他去訂了很多的不平等的條約尤其是我自己的記到的那個案場他可能求償臺泥喔是那麼大的公司喔臺泥跟臺元要求償140億喔這幾天你看文森
transcript.whisperx[241].start 6928.163
transcript.whisperx[241].end 6938.994
transcript.whisperx[241].text 這個地方沒有處理好,巴西會處理好,人民的納稅錢141就出去了,所以有不平等合約你現在回去每一項把它拿出來看,趕快去處理不平等合約的事情應該這是歡迎可以決定的事情
transcript.whisperx[242].start 6944.62
transcript.whisperx[242].end 6970.62
transcript.whisperx[242].text 一方面是發言要掛電啦,一方面就是因為台灣去簽了很多不平等的合約嘛,你做部長會被救的,經濟部要去了解好不好?因為他這個很嚴重的事,他連董事會都沒通過喔董事會通過的是A案,他拿一個C案去騙人家,結果現在導致140億的虧損可能出現好啦,另外要跟你講一個案子,部長,你聽不聽說雲報炒股的事情你要跟那個通知金管會嘛對不對?
transcript.whisperx[243].start 6971.907
transcript.whisperx[243].end 6996.369
transcript.whisperx[243].text 經管會後來,炒股的事情,原報啊,這炒股的事情有進度嗎?不是不是不是,這個不是我主管的,這是經管會他們主管的,我這是依法行事嘛,但是這個我所了解,炒股這兩個字啊,對經管會來講這個不是官方語言,所以這就是
transcript.whisperx[244].start 6997.981
transcript.whisperx[244].end 7004.964
transcript.whisperx[244].text 台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:
transcript.whisperx[245].start 7026.264
transcript.whisperx[245].end 7049.846
transcript.whisperx[245].text 臺南的北門有個案場他後來把這個案場轉給銀豹投資結果啊現在是媒體跟立委都追出來在講說他是不是找了一個紙上的公司叫做縱橫家又掏空了臺元力能1億元這是銀豹喔一樣是銀豹委託付款從上面拿了衣服
transcript.whisperx[246].start 7050.168
transcript.whisperx[246].end 7064.673
transcript.whisperx[246].text 那台研就說去查嘛對不對那裡面有三個非常不合理的這家公司為什麼說他是紙上公司?掏空的台研可能是疑義這家公司跟銀豹同樣在一個地方第一個你如果打電話去他的聯絡人是誰?銀豹的經理
transcript.whisperx[247].start 7067.694
transcript.whisperx[247].end 7084.371
transcript.whisperx[247].text 更離譜的,台言綠能後來發現說這是額外的喔,不給你這個1億啊,不給你這個1億,不給你這個水條他說不給這個1億,出來討債的是誰?銀豹的創辦人張建偉所以現在銀豹不是只有炒股的問題喔,你說的你管的這部分
transcript.whisperx[248].start 7085.714
transcript.whisperx[248].end 7110.468
transcript.whisperx[248].text 去查一下 雲報有沒有掏空 台元力能一一的事情 把它查清楚報告委員 這樣你是不是來檢舉一下你有檢舉 我們才有辦法去去找你說檢舉的這個過程裡面來查沒有人檢舉就沒辦法查我剛剛這個算是檢舉嘛 我可以正式再檢舉一次謝謝我檢舉完你是要查嘛 對不對OK 好 OK 這是一個好 來 我們來談另外 昨天也是 元旭昨天的
transcript.whisperx[249].start 7111.841
transcript.whisperx[249].end 7137.437
transcript.whisperx[249].text 現在啊,台電說它虧損累累,要破產了嘛那所以我們要不要給它一千億的同時現在有一個新的黑洞可能出現了我們的國營事業包括中華電信、中油、中鋼、高鐵要去成立一個塑電平台這有兩個問題啦第一台電本來就有啊,應該台電的塑電平台你就是說嘛,希望這些中小企業可以買到電嘛,買到綠電嘛第一個
transcript.whisperx[250].start 7139.973
transcript.whisperx[250].end 7168.776
transcript.whisperx[250].text 為什麼台電的這個售電平臺沒辦法發揮它的功能這是要檢討的讓它發揮功能這是第一個第二個我們在談的很重要的這裡面有可能牽扯到法律的背信的問題我先提醒喔為什麼是背信你現在講的你現在去找的國營事業這幾家啊都是上市公司喔那他現在去買你現在這個售電平臺裡面如果這些公司這些國營事業又去買電又去買電
transcript.whisperx[251].start 7170.12
transcript.whisperx[251].end 7185.553
transcript.whisperx[251].text 你如果買得太貴,這是不是有背信的問題?對不對?所以我們今天講的很重要。第一,我叫你說很清楚的,你昨天有承諾嘛。我們看一下下一張,很清楚的承諾。不能夠在這個合約裡面去訂什麼。
transcript.whisperx[252].start 7186.823
transcript.whisperx[252].end 7195.037
transcript.whisperx[252].text 我們的售電的賣電公司的這個股東包括中華電信跟中鋼他們電賣不出去叫他們去買這條一定要拿掉對不對?
transcript.whisperx[253].start 7195.037
transcript.whisperx[253].end 7198.803
transcript.whisperx[253].text 是的第二個更重要你一直在說嘛你說你不聽工啦不去買什麼一些電燒整個對不對?
transcript.whisperx[254].start 7201.269
transcript.whisperx[254].end 7219.154
transcript.whisperx[254].text 當然問題是現在就是綠電太貴啊所以台積電沒得買嘛其他人都不買嘛所以才搞到說要成立這家公司老實講有一點是要幫我們的綠電要不然的話綠電現在連銀行都不借錢給他嘛所以他以後有他們銀行願意借錢給他這是第2功能
transcript.whisperx[255].start 7219.614
transcript.whisperx[255].end 7247.828
transcript.whisperx[255].text 可是第一個 它電還是貴的所以第一個我要提醒一個第一個不能買比台積電貴的電 是不是是的 我想謝謝這個委員 未雨綢繆我怎麼跟你一樣 我怎麼想說醫療有什麼樣的情形所以這幾個 scenario 我們都有在考慮那當然有一些不足的 像剛才你在講的買電的義務啊什麼 我這回去會把這個拿掉好 第一個把它拿掉 確定嗎第二個最重要的
transcript.whisperx[256].start 7248.208
transcript.whisperx[256].end 7256.338
transcript.whisperx[256].text 我們做一個怎麼樣確定不會買到太貴的電你先去整合訂單跟需求嗎我今天明確的做一個要求沒有
transcript.whisperx[257].start 7257.352
transcript.whisperx[257].end 7276.483
transcript.whisperx[257].text 沒有拿到企業,沒有很明確已經說人家要買電了,就不能買,就是不會買到太貴的電啊。就是說你不要先買一堆電進來,買了一堆電進來,台電現在就這樣啊,買了一堆太貴,頓過之後買了一堆太貴的,啊賣不出去自己叫中鋼去買嘛,那我們要怎麼預防?回過頭嘛,我們是有訂單,我們才去買電,可不可以重頭?
transcript.whisperx[258].start 7276.483
transcript.whisperx[258].end 7277.464
transcript.whisperx[258].text 可以喔,你看,電頭了嘛對不對?
transcript.whisperx[259].start 7282.247
transcript.whisperx[259].end 7287.709
transcript.whisperx[259].text 台灣電力股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份
transcript.whisperx[260].start 7298.453
transcript.whisperx[260].end 7322.523
transcript.whisperx[260].text 的這樣政策所以他當然是比較受這個政策的公共政策的這個影響但是我們那個售電平台那個不是喔那個不是出來做公共政策的我們把它明確化啦你看一下你的文字要先整合訂單跟需求你確定有人要買電的時候你才能夠去把電買進來好不好這個明文規定了好不好昨天我已經訂了第一條了
transcript.whisperx[261].start 7324.064
transcript.whisperx[261].end 7331.692
transcript.whisperx[261].text 不能夠叫中鋼那些賣不出去的電器買,這是已經第一個人確定,就是第二點我可能喔,我可能就叫他退出啦,叫他退出溝通啦你如果這樣說我就叫他退出溝通啊,他想要沒電再來把委員拖就好了
transcript.whisperx[262].start 7338.479
transcript.whisperx[262].end 7343.103
transcript.whisperx[262].text 現在不是你跟我的問題現在是這幾家國營事業130萬的股民我們立場是一樣的我提醒你130個股民有任何一個人就按您控告說
transcript.whisperx[263].start 7363.7
transcript.whisperx[263].end 7373.267
transcript.whisperx[263].text 中小企業信保基金最近有投訴一個很重要的案子你看一下今年6月1號有人去投訴說他被性騷擾信用保證基金信保基金會不會變成信保基金他6月1號
transcript.whisperx[264].start 7392.369
transcript.whisperx[264].end 7412.782
transcript.whisperx[264].text 一個女職員就去跟董事長跟姓寶的董事長就投訴了結果這個董事長做了什麼事情他反而要求沒有處理反而要求主席不要去姓平會的承諾書還要嚴重的他竟然轉送他一個口罩後來給全部的員工送乖乖
transcript.whisperx[265].start 7414.062
transcript.whisperx[265].end 7436.139
transcript.whisperx[265].text 理性員工被性騷擾來投訴了,你是不是要處理?你怎麼會送口罩?送口罩意思是什麼?叫你不要講話?送給所有的員工叫你乖乖,這個消息不能再下去。這個事情很具體的就是,你看他拖了多久,不然你先告訴我。6月1號一直到7月18號,拖了一個半夜。第二更嚴重的,你看一下那個文字。他之前已經做了不當的行為,包括去摸這個女職員的手。
transcript.whisperx[266].start 7441.867
transcript.whisperx[266].end 7453.663
transcript.whisperx[266].text 這個你之前簡訊跟他說什麼,男女授受不親,結果你知道這個主管怎麼回他說什麼授受不親,還沒親到你,還沒親到好,我們來瞭解啦
transcript.whisperx[267].start 7455.046
transcript.whisperx[267].end 7455.266
transcript.whisperx[267].text 部長請回座
transcript.whisperx[268].start 7490.121
transcript.whisperx[268].end 7505.598
transcript.whisperx[268].text 來 下位質詢請鄭正前委員主席好 我想請一下郭部長緊急部 郭部長
transcript.whisperx[269].start 7513.735
transcript.whisperx[269].end 7531.576
transcript.whisperx[269].text 委員長部長好你從企業界轉到公部門當中你也知道其實我對於你有一些期待因為我們希望說能夠把企業界的有一些好的特質然後帶到公部門裡面來不過因為企業界其實它是國際化的然後公部門當中它有一些重要的原則
transcript.whisperx[270].start 7532.597
transcript.whisperx[270].end 7539.522
transcript.whisperx[270].text 台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:
transcript.whisperx[271].start 7557.394
transcript.whisperx[271].end 7576.833
transcript.whisperx[271].text 熊本就開始有營業據點出來這都沒有問題我覺得您在企業界我覺得跟著原本就是台積電的半導體產業鏈的一環這我們大家都理解我只想說在2024年您接部長之後你提出了一個很重要的政策就是境外關內的部分
transcript.whisperx[272].start 7579.115
transcript.whisperx[272].end 7606.096
transcript.whisperx[272].text 目前確實你也在努力的其實要讓整個半導體的一個供應鏈一起到熊本去有這樣的事情嗎?對不對?報告委員這個是這樣子就是說這個日本熊本的這個公司這個公司事實上有日本的股份在那日本的股份就我所了解他們要求5年以後60%的材料
transcript.whisperx[273].start 7608.68
transcript.whisperx[273].end 7632.428
transcript.whisperx[273].text 通通要跟日本買理解部長我在想說因為這個事情目前是這樣在走我想說整個方向確實也就是如此我在想說因為昨天有其他委員有特別提到說您現在好像變成日本的招商局局長這件事情我待會有時間讓你回應我只是要特別講到一個點就是說當整個台積電
transcript.whisperx[274].start 7634.295
transcript.whisperx[274].end 7648.462
transcript.whisperx[274].text 所帶動的一個半導體的一個供應鏈一起到日本去的時候對台灣來講是不是能夠爭取到更多的一個條件更好的一個條件為台灣爭取更多的一個國家利益
transcript.whisperx[275].start 7649.542
transcript.whisperx[275].end 7675.038
transcript.whisperx[275].text 所以我這邊的一個問題就是說針對這樣子的一件事情那台積電如果說不斷的外移原本我們都認為台積電是護國神山這樣子的一個效力會不會減少如果說剛剛有委員提到說去亞利桑那州的問題台積電不斷的出走之後你覺得對於台灣的護國的一個能量會不會降低
transcript.whisperx[276].start 7675.878
transcript.whisperx[276].end 7695.576
transcript.whisperx[276].text 完全不會降低而且會幫助台積電在未來的這個市場裡面更加的雄偉為什麼說更加的雄偉因為你必須要用很多國外的人才來經營國外的市場因為我們台灣在台灣我們是技術領先
transcript.whisperx[277].start 7696.917
transcript.whisperx[277].end 7713.593
transcript.whisperx[277].text 但是呢在市場上面我們是要服務各個海外的這個市場的客人所以啊以台積電這麼優秀的這樣的一個技術本位啊他為什麼人家會需要他到美國去會到這個歐洲會到日本主要是
transcript.whisperx[278].start 7714.994
transcript.whisperx[278].end 7739.88
transcript.whisperx[278].text 市場的問題嘛市長我理解這部分那我只是要特別提到說因為當台積電尤其很多的一個先進製程也不斷的外移的時候我們對於台積電在台灣的護國這樣的一個效力的時候你剛講說會越來越雄偉其實很多人肯定不認同很多學術專家也不認同那我希望針對這個部分就是你要好好的去
transcript.whisperx[279].start 7740.64
transcript.whisperx[279].end 7765.651
transcript.whisperx[279].text 拿捏這個部分尤其是我剛剛提到2022年一路過來你從企業家轉換成部長這狀態然後同時去做了一個境外關內這樣的一個政策的時候很多人覺得說這是擺明要讓台灣的一個產業打包一起集體外移所以這個部分我們希望經濟部在做這過程當中的時候一定要為台灣爭取到更多的一個資源比方說我們
transcript.whisperx[280].start 7766.391
transcript.whisperx[280].end 7790.627
transcript.whisperx[280].text 整體半導體產業鏈到日本熊本去的時候日本是不是就會更大力的支持我們進到CPTPP類似這樣的一個條件或者是其他另外的一些關稅其他相關的一些投資台灣的一些相關的部分我們希望把台灣半導體外移的動作的時候變成我們跟其他國家談判的籌碼好不好
transcript.whisperx[281].start 7791.567
transcript.whisperx[281].end 7817.642
transcript.whisperx[281].text 確實是如委員你所垂詢的我們所做的部分都是為了台灣的產業更具有世界競爭力所以我們去的時候是以大代小具有競爭力的產業我們把台灣中小企業特別多中小企業要發展海外的事業其實有它的困難經濟部的立場就是幫他們順利的落地第二個幫他們爭取稅金上面的優惠
transcript.whisperx[282].start 7818.842
transcript.whisperx[282].end 7836.239
transcript.whisperx[282].text 這個我們如果不是用經濟部的立場我相信以我們中小企業要跟當地國去談這一種所謂的投資優惠應該是談不了另外一部分我也希望我們這樣去的時候我們也希望日本能夠加強對台灣的一個投資力度在談判當中我們都希望把它談進來好不好部長
transcript.whisperx[283].start 7836.94
transcript.whisperx[283].end 7843.504
transcript.whisperx[283].text 台灣電力股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、
transcript.whisperx[284].start 7860.272
transcript.whisperx[284].end 7875.007
transcript.whisperx[284].text 設備都投資完成了可是因為匱限的不足還有其他相關的配套不足的時候沒有辦法併網部長你知道這樣的事情嗎這個是在過去啦我們來了以後啊我們考慮了很多提出很多的解決方案
transcript.whisperx[285].start 7875.847
transcript.whisperx[285].end 7903.117
transcript.whisperx[285].text 這個委員我可以再跟你報告因為我這邊看到至少到目前為止還在再生能源業者等著要併網的件數有1536件其實非常非常的多而且有很多有300億件等超過兩年那你這邊你說你有那個更新的一個數據你在跟我本席這邊做報告那我這邊要特別講一個情況比方說在這樣的一個情況之下我想問一下因為這幾年台電
transcript.whisperx[286].start 7904.918
transcript.whisperx[286].end 7934.06
transcript.whisperx[286].text 除了一直要從政府這邊要錢去增資去撥補到明年預價5000億這是一個很龐大的數字但有2000億還在立法院當中我想要問一下在這麼多錢當中的時候台電也不對在投入他們的一個固定資產的一個建設計畫當中明年有多少金額這個我是不是請可以總經理回答報告委員明年在固定資產
transcript.whisperx[287].start 7935.625
transcript.whisperx[287].end 7959.513
transcript.whisperx[287].text 再加上我們的一般建築的這個部分大概2600億2690億那其中外界資金有多少?外界的資金大概2100億大概2100億我們後來算了一下這麼高的一個狀況的時候光是明年台電要付出的利息就超過320億這個數字是正確的對不對?
transcript.whisperx[288].start 7963.734
transcript.whisperx[288].end 7989.44
transcript.whisperx[288].text 320億有多大?右邊我們看到包括外交部一年的公務預算都還沒有那麼高只有319億司法院、文化部、總統府、速發部、環境部、立法院、監察院、僑委會、經管會這麼多十大的一個單位包含總統府在內一年的預算都沒有320億我們台電光是付利息的支出就要320億那這當中肯定是有很多政策上的
transcript.whisperx[289].start 7990.12
transcript.whisperx[289].end 7994.062
transcript.whisperx[289].text 台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:
transcript.whisperx[290].start 8013.46
transcript.whisperx[290].end 8040.683
transcript.whisperx[290].text 條長電費你就要下台有這樣的事情嗎部長跟委員報告剛剛您提到那個舉債這麼多主要是因為台電的設備都是大型的投資都是長期的投資理解可是說我們本來想說台電他是一個公營系本來想自己賺錢自己來做投資這是最好的一個狀態可是現在很大部分都按照要由政府這邊來撥補所以我們認為不太適合所以我想針對部長這個部分因為部長也提出了要求
transcript.whisperx[291].start 8041.403
transcript.whisperx[291].end 8066.484
transcript.whisperx[291].text 我們政府能夠撥補台電2000億包括追加預算跟明年的預算然後如果再調高電費你這邊之前有承諾過還是說你這邊有其他的說法跟看法簡單回應一下好不好部長報告2000億是補那個名稱我知道讓部長回答好不好總經理謝謝報告委員我在之前很久以前我曾經有這樣說過了是
transcript.whisperx[292].start 8067.865
transcript.whisperx[292].end 8069.947
transcript.whisperx[292].text 現在休息6分鐘必要時延長2分鐘
transcript.whisperx[293].start 8590.965
transcript.whisperx[293].end 8604.091
transcript.whisperx[293].text 好,請列席,關於人請回座好,我們現在繼續開會,下位置請張家俊委員還沒還沒還沒
transcript.whisperx[294].start 8621.038
transcript.whisperx[294].end 8644.246
transcript.whisperx[294].text 主席我想請郭部長請經濟部郭部長部長您是產業經濟專家那目前呢大家百姓最擔心的就是明年的景氣到底明年的景氣好不好您可不可以給我們做一個預估呢好的謝謝委員我想這個是一個很好的一個推詢
transcript.whisperx[295].start 8645.786
transcript.whisperx[295].end 8658.132
transcript.whisperx[295].text 明年的景氣以目前這個世界的變異明年因為美國的這個川普總統他上任1月15號上任以後我相信這個世界會有很大的改變
transcript.whisperx[296].start 8659.992
transcript.whisperx[296].end 8676.72
transcript.whisperx[296].text 從過去拜登總統聯防的概念走向川普總統最重要的就是MAGA讓美國再世偉大這樣的想法美國再世偉大採用的方法就是加關稅
transcript.whisperx[297].start 8678.331
transcript.whisperx[297].end 8686.799
transcript.whisperx[297].text 降低國內的這個企業經營的設計﹖但這就是大家都擔心的啊,擔心這個假設加關稅貿易戰會不會對台灣的這個未來經濟有很大的影響呢?
transcript.whisperx[298].start 8692.082
transcript.whisperx[298].end 8715.097
transcript.whisperx[298].text 我在過去我來這個政府以後我曾經提出一個境外關內的這樣的一個概念我們主要就是幫助這個台灣的企業到海外去落地來成長那麼我們在落地成長現在看起來如果到美國去生產根據美國的市場需求
transcript.whisperx[299].start 8716.243
transcript.whisperx[299].end 8731.77
transcript.whisperx[299].text 我們去美國生產這個對我們台灣來講是一種鼓勵第二個這裡面有一個變數關係就是美中的這個貿易對抗中國現在我們看到很多的這個討論特別是這個川普總統對中國的這種
transcript.whisperx[300].start 8735.453
transcript.whisperx[300].end 8753.512
transcript.whisperx[300].text 這種壓制,你看看這一次川普總統旁邊的包括他的國務卿包括他國防部長包括他的這個白宮裡面的這個他的這個最親近的這個夥伴他的這個這一些人通通是對中國是比較鷹派的
transcript.whisperx[301].start 8756.912
transcript.whisperx[301].end 8783.678
transcript.whisperx[301].text 就是擔心就還是擔心啦齁當然我一聽部長這樣講我有信心因為畢竟主政者非常了解國家的脈動怎麼樣跟國際接軌那這個是一個好事但是呢普遍的這民間還是會擔心說哇到底這個美中貿易戰我們夾在中間會不會被壓扁啊然後會不會就是造成說我們會越來越小啊
transcript.whisperx[302].start 8784.358
transcript.whisperx[302].end 8802.226
transcript.whisperx[302].text 這是平均大家都疑慮的所以是不是部長可以解決我們的疑慮報告委員我們現在是這樣就是幫助在台商在中國的台商因為現在如果川普真正的落實他對中國課稅60%的話那麼這個對台商來講這個影響會很大
transcript.whisperx[303].start 8807.717
transcript.whisperx[303].end 8821.493
transcript.whisperx[303].text 所以他們必須轉移陣地?他們必須要轉進到這個美國啊那如果他們反台會不會更好呢?反台的話我們這樣子我們在看啊因為我們現在畢竟少子化所以對這個人員的
transcript.whisperx[304].start 8822.895
transcript.whisperx[304].end 8847.556
transcript.whisperx[304].text 人力可能會沒有辦法滿足當初他們離開台灣到這個中國的這樣的一個誘因所以我們會協助他們轉進到這個另外一個所以這個已經有具體的計畫是哪一個單位在協助規劃嗎現在沒有因為我們以前也沒有想到說會有這樣的一個情形不過我們現在那大概會責成什麼單位來協助
transcript.whisperx[305].start 8850.393
transcript.whisperx[305].end 8855.798
transcript.whisperx[305].text 我們裡面有很多,我們有智庫啊,我們經濟部大概有5個智庫。 是,到時候是這個中小企業處呢,還是產業發展,產業發展署啊,還是什麼單位會來負責呢?報告委員,我們現在是這樣,就是說由智庫來評論,由智庫來收集資料,
transcript.whisperx[306].start 8873.234
transcript.whisperx[306].end 8899.339
transcript.whisperx[306].text 然後做出一個建議然後我們再來看是哪一個單位負責哪一個群哪一個產業那由這個負責的這個署或者是處來好那這個就要拜託部長專心的用心的用力的把它做好規劃因為這個會影響台灣未來的產業發展甚至人民的生活那接下來講到人民的生活我就想要問一下部長
transcript.whisperx[307].start 8900.88
transcript.whisperx[307].end 8908.607
transcript.whisperx[307].text 剛剛每一位委員都問到撥補這個未來兩千億不要算之前撥補的這個三千億了這樣加加起來三年五千億這個部長你怎麼看現在繼續撥補嗎?您支持這個撥補嗎?我們希望委員能夠支持我們這個撥補
transcript.whisperx[308].start 8919.537
transcript.whisperx[308].end 8919.557
transcript.whisperx[308].text 部長
transcript.whisperx[309].start 8937.714
transcript.whisperx[309].end 8940.777
transcript.whisperx[309].text 可是台電最近4個月因為漲建價的關係已經開始有盈餘了7月賺了73億8月盈餘129億9月盈餘122億
transcript.whisperx[310].start 8952.605
transcript.whisperx[310].end 8954.425
transcript.whisperx[310].text 我們不只漲了電價然後這個國際的這個天然氣價格還已經回到了二屋占錢的水平了那已經賺錢了又漲了電價為什麼還一定要撥補呢報告委員這個7月8月那個時候是夏季電價
transcript.whisperx[311].start 8972.401
transcript.whisperx[311].end 8978.663
transcript.whisperx[311].text 那所以呢我現在的理解是為什麼我想要請教一下每一個人都提醒你們說這個能源配比要調整你們有調整嗎能源配比我有啊我們現在就是你們的能源配比完全都沒有考慮核電啊完全沒有考慮核電怎麼有辦法把這個電價降下來嗎或者說
transcript.whisperx[312].start 8997.248
transcript.whisperx[312].end 9005.274
transcript.whisperx[312].text 部長您今天有辦法在這裡保證說這2000億撥補給你之後明年後年都不漲電價報告委員這個漲不漲電價不是經濟部長可以決定的我知道但你也要你主管機關你這個全國產業經濟的主管機關你也要有主張呀你就是明年後年都都補我1000億的話
transcript.whisperx[313].start 9022.848
transcript.whisperx[313].end 9045.496
transcript.whisperx[313].text 然後再來我沒有辦法我們現在只講到明年的一千億你連後年的一千億都講出來了那就是意思說每年都要補台電一千億喔不是 報告委員因為那個三千多億的這個負債是在過去兩年因為COVID-19而造成那未來是什麼原因未來為什麼還會有一千億是什麼原因我現在是補過去的虧損
transcript.whisperx[314].start 9046.476
transcript.whisperx[314].end 9049.018
transcript.whisperx[314].text 你已經漲了店價我們還要補過去的虧損台電沒有辦法自己想說怎麼賺錢怎麼創造收益嗎?
transcript.whisperx[315].start 9058.086
transcript.whisperx[315].end 9063.549
transcript.whisperx[315].text 有漲 有漲一波有漲一波 第二次沒有漲 第一次有漲你問總經理 對不對 我現在沒有要問你所以我必須要講 部長我們不斷地拿人民的納稅錢去補貼台電是沒有辦法解決根本的問題的我們一定要有一個長期的財務規劃長期的這樣子的計畫否則你每年一直靠撥補 台電那就擺爛了
transcript.whisperx[316].start 9088.001
transcript.whisperx[316].end 9088.261
transcript.whisperx[316].text 我是因為說我們一共還
transcript.whisperx[317].start 9105.17
transcript.whisperx[317].end 9121.514
transcript.whisperx[317].text 還缺3000多億之前虧損所以你計畫他所有的虧損都要用人民的荷包來抹平的意思嗎不是因為造成這個虧損是因為我們動漲的這個價格但你們已經再漲了兩次啊所以你預計如果不撥補明年還要漲是嗎我們還
transcript.whisperx[318].start 9123.575
transcript.whisperx[318].end 9128.818
transcript.whisperx[318].text 這個漲價不是我決定,漲價是這個價格還有我必須要講一下,就是我們雲林縣斗六的長治久安公園是園館局的地,但現在雜草叢生、蛇鼠橫行然後地方治安產生問題部長,我昨天親自去了這個
transcript.whisperx[319].start 9145.606
transcript.whisperx[319].end 9149.048
transcript.whisperx[319].text 服務中心服務中心全部擺爛他說勤勞勤勞說只要縣府或公所願意接管我們再撥錢給他們來來整理這個是你們經濟部應該有的態度嗎?你們的產業去到了地方難道不應該把環境整理乾淨嗎?
transcript.whisperx[320].start 9164.895
transcript.whisperx[320].end 9185.211
transcript.whisperx[320].text 我們回去瞭解一下好不好不是不只是瞭解您瞭解之後您還要立起來要告訴他說這是要對居民友善嘛怎麼可以你們的產業去到那裡然後把地方弄得一團亂也不願意整理還請呢縣府跟市公所一定要接管好不好這一點拜託部長是謝謝部長謝謝
transcript.whisperx[321].start 9190.786
transcript.whisperx[321].end 9203.54
transcript.whisperx[321].text 負負大家的期待下一位質詢請鄭天才委員
transcript.whisperx[322].start 9216.544
transcript.whisperx[322].end 9219.88
transcript.whisperx[322].text 主席、各位委員、有請部長請經濟部顧部長
transcript.whisperx[323].start 9227.413
transcript.whisperx[323].end 9249.999
transcript.whisperx[323].text 委員長首先還是要先謝謝這個台電跟自來水公司這段時間這個11月還有這個接連而來的颱風所以在康瑞颱風這個包括天瑞這個天兔尤其是康瑞颱風造成的
transcript.whisperx[324].start 9251.349
transcript.whisperx[324].end 9272.439
transcript.whisperx[324].text 臺灣地區,尤其是花東,很多的電還有水,都是自來水公司跟台電,非常辛苦的在一起附電附水。我們看今年的,首先也要謝謝經濟部再次的提報,
transcript.whisperx[325].start 9274.232
transcript.whisperx[325].end 9285.678
transcript.whisperx[325].text 這個無自來水第7供水改善計畫第5期這個在11月18號行政院已經核定了這個106億的一個明年開始的這個第5期計畫跟部長說明過去這個因為無自來水計畫的經費有限
transcript.whisperx[326].start 9298.194
transcript.whisperx[326].end 9324.267
transcript.whisperx[326].text 所以每一次很多的部落或是很多的社區、很多的這個村裡需要這個五自來水要做這個沿管過去它有一個每戶成本的上限每戶成本的上限這個以這個第4期計畫來講就是60萬元但每一次都會做一個不同的調整
transcript.whisperx[327].start 9325.902
transcript.whisperx[327].end 9340.456
transcript.whisperx[327].text 在毛自國當行政院院長的時候我特別就質詢協調就希望說部落因為每次原住民的部落因為人附屬少附屬少 單位成本就比較高
transcript.whisperx[328].start 9341.357
transcript.whisperx[328].end 9367.437
transcript.whisperx[328].text 就很難去跟一般的村里去做比較所以當初我是要求把這個部落另外去算一定的比例給部落部落另外算所以一直現在實施到現在是有這樣的一個狀況所以原住民部落就是另外去按照一定的比例然後去以這個上限會比較公平
transcript.whisperx[329].start 9368.197
transcript.whisperx[329].end 9387.61
transcript.whisperx[329].text 那這次這個第5期有做更好的一個規劃所以持續的去來去辦理所以這個部分那因為花蓮台東又很特殊因為那個原住民的人口最多部落也最多所以本席當時這個因應0918的地震的時候
transcript.whisperx[330].start 9394.008
transcript.whisperx[330].end 9411.927
transcript.whisperx[330].text 就請經濟部提報到這個國發會因為有花東基金所以超過60萬以上的就用花東基金這樣的話能夠去共同的去加速但是因為這段時間因為這個是從112年到今年113年
transcript.whisperx[331].start 9417.205
transcript.whisperx[331].end 9431.433
transcript.whisperx[331].text 所以在這樣一個兩年的時間當然也很長促也很大這個自來水公司也積極的在處理當然地方政府包括這個相關的這些用地的的取得也都有問題所以這個部分
transcript.whisperx[332].start 9432.713
transcript.whisperx[332].end 9451.75
transcript.whisperx[332].text 這個要請自來水公司去說明一下這個我們行政院112年3月15號合訂這個自來水沿管工程的計畫包含這個花東基金投入這個7109萬9千元無自來水計畫投入7400萬1千元總共1億4510萬元
transcript.whisperx[333].start 9460.98
transcript.whisperx[333].end 9464.281
transcript.whisperx[333].text 這個目前的一個進度如何?
transcript.whisperx[334].start 9464.281
transcript.whisperx[334].end 9481.686
transcript.whisperx[334].text 這個是不是請自來水公司還是部長?謝謝委員的一個指教感謝委員一直在為花東地區的這些燕鄉部落在爭取一些改善自來水的案件
transcript.whisperx[335].start 9485
transcript.whisperx[335].end 9510.886
transcript.whisperx[335].text 利用發動基金來協助這些部落我們總共有13個案子那到目前我們已經完成了有6個案6個案件已經完成了那還有7個案現在在執行中在執行中我們預計在今年底會再完成完成3件那剩下4件會在明年中會全部完成
transcript.whisperx[336].start 9513.905
transcript.whisperx[336].end 9526.586
transcript.whisperx[336].text 還沒有完成主要的原因是什麼有一件事因為米贊部落那邊是今年0403的影響所以我們這個廠商的施工量能有稍微
transcript.whisperx[337].start 9527.082
transcript.whisperx[337].end 9551.386
transcript.whisperx[337].text 所以這一件工程會延到明年的6月才完成那另外有三件的案件是我們在今年底我們才成立預算是用結一款就之前完工的這些的結款來偵辦的三件工程那我們今年底會再成立預算那明年會把它完成
transcript.whisperx[338].start 9552.738
transcript.whisperx[338].end 9569.275
transcript.whisperx[338].text 這個部分這個有需要去可以比較快的地方可以隨時可以去做調整所以有時候像這個我們看這個像光復鄉大興村
transcript.whisperx[339].start 9572.089
transcript.whisperx[339].end 9584.084
transcript.whisperx[339].text 這個整個村然後相關的這些用地企得像那個台鐵就比較容易嘛國產署的也容易嘛所以這個部分就可以做一些滾動的檢討來調整嘛
transcript.whisperx[340].start 9587.989
transcript.whisperx[340].end 9608.729
transcript.whisperx[340].text 是,謝謝委員的一個協助之道,這個我們今年底關乎鄉這個案子今年底會來完工?對,這個部分因為它是一個比較整個村裡面,而且過去曾經發生土石流的地方這段時間都還好啦,所以這個部分這個用水的部分既然
transcript.whisperx[341].start 9609.689
transcript.whisperx[341].end 9626.493
transcript.whisperx[341].text 這個村有需要做這個調整所以這個部分...報告委員水利署這邊再補充說明一下在我們這個剛合訂的第5期計畫裡面其中有3億元花東基金也是按照委員的意見我們將來會撥補這個以後100億以上的錢會按照委員意見來做這個
transcript.whisperx[342].start 9633.715
transcript.whisperx[342].end 9653.342
transcript.whisperx[342].text 現在就是自來水公司跟地方政府要共同的去努力不然好不容易有這樣的一個經費所以這個部分要加油最後這個我還是要去強調
transcript.whisperx[343].start 9655.943
transcript.whisperx[343].end 9683.334
transcript.whisperx[343].text 這個其他的先回座部長還是要強調你是從企業界企業界來怎麼樣去全盤的了解這個這個電的部分電的部分從過去的合適2000多億其實將近3000億了如果再加上這個
transcript.whisperx[344].start 9685.284
transcript.whisperx[344].end 9707.309
transcript.whisperx[344].text 維護的現在封存了但是還是要每年要維護所以要請同仁提供給你第一個合適到底已經花了多少錢繼續要花多少錢第二這個台電的撥補台電的撥補4000多億囉你說未來還要加上什麼呢
transcript.whisperx[345].start 9714.909
transcript.whisperx[345].end 9732.917
transcript.whisperx[345].text 比較要去計算的就是綠能的部分綠能的部分從能源署其他的署撥到要花那個錢變成多少錢然後還要買啊台電還要跟他買啊買電啊對不對這個部分
transcript.whisperx[346].start 9736.201
transcript.whisperx[346].end 9737.462
transcript.whisperx[346].text 消費諮詢請蔡易瑜委員
transcript.whisperx[347].start 9765.353
transcript.whisperx[347].end 9792.707
transcript.whisperx[347].text 好 謝謝主席 我們是有請經濟部郭部長請經濟部郭部長委員長 部長部長 我們從最近的一些新聞包括說我們看到美國拜登有核准要給台積電一些補貼那這個補貼當然是希望台積電到美國設廠
transcript.whisperx[348].start 9793.928
transcript.whisperx[348].end 9811.603
transcript.whisperx[348].text 那他們有他們的一個需求但是我們從日本那德國跟美國的一個經驗來說事實上他們都很積極的要把台積電這麼一家國際企業然後希望在他們的國內有生產的行為所以台灣其實真的是有台積電真的是很棒
transcript.whisperx[349].start 9812.564
transcript.whisperx[349].end 9821.514
transcript.whisperx[349].text 這真的是我們台灣的護國神山所以同樣看到日本、德國、美國他們對台積電這樣大力的一個拉攏我們當然要想辦法讓台積電永遠的就是在我們台灣就是在這裡持續的一個發展
transcript.whisperx[350].start 9829.904
transcript.whisperx[350].end 9847.153
transcript.whisperx[350].text 那這個持續的發展我們除了有一些法令的禁止說這部分如果沒有你們同意是不可以去是不可以去可是我覺得我們相對應的我們也是要釋出台灣可以做的一些作為讓台積電覺得在台灣那還是有在我們自己股內的溫暖我指的這一些就是說我們知道現在整個台積電他的一些
transcript.whisperx[351].start 9858.339
transcript.whisperx[351].end 9876.957
transcript.whisperx[351].text 一些幾奈米幾奈米大概在南科未來在高雄也有一些部署那如果南科跟高雄有這樣的一個晶圓的一個生產那嘉義未來是一個COAS就是台積電封裝的一個先進封裝的一個基地好那這樣的一個基地是不是未來
transcript.whisperx[352].start 9878.178
transcript.whisperx[352].end 9903.192
transcript.whisperx[352].text 因為這個部長也許你比較專業我直接在這邊問這是我不知道的就是說未來南科所發展所生產的一些晶圓這些晶片就是會送到嘉義然後來做先進封裝他會有這樣的一個運輸的過程嗎?會有這樣的運輸的過程那是差不多多少比例會這樣的運輸勒?
transcript.whisperx[353].start 9905.197
transcript.whisperx[353].end 9925.848
transcript.whisperx[353].text 這個有辦法統計還是不確定有可能到別的地方要看是什麼樣的商品想像上是這樣但是有一個部分到嘉義是做COAS那有一部分可能會到高雄高雄的是月光可能這個產品不同的封裝不同的產品進入不同的封裝我想像上大概是這樣
transcript.whisperx[354].start 9926.428
transcript.whisperx[354].end 9942.187
transcript.whisperx[354].text 但是會到嘉義至少是一個需要技術上去做先進封窗就會到COWAS就會到嘉義所以部長就來了啊所以我覺得我們台灣人做的是什麼把交通問題再把它改善
transcript.whisperx[355].start 9943.312
transcript.whisperx[355].end 9958.811
transcript.whisperx[355].text 所以這個雖然這是交通部的問題可是站在整個產業面因為你是經濟部長嘛對你應該要站在說這個產業好因為他們有一個技術上的需求所以我們應該進一步的去思考如果我們可以要求
transcript.whisperx[356].start 9959.592
transcript.whisperx[356].end 9982.38
transcript.whisperx[356].text 所有的類似這樣的產業園區不管它是屬於國科會所管理的科學園區或者是我們經濟部所管轄的產業園區我們如果可以把嘉義、高雄、台南從這樣的一個園區整個有一個交通的大串聯起來比方說現在高雄跟台南推動的S郎帶
transcript.whisperx[357].start 9983.3
transcript.whisperx[357].end 10000.454
transcript.whisperx[357].text 如果S狼帶可以再延伸到嘉義然後整個串聯起來是不是對於這樣整個晶圓他們未來的運輸成本運輸的時間可以大幅的下降這樣對於台積電他們整個企業的一個發展又是更好的一個方向
transcript.whisperx[358].start 10000.894
transcript.whisperx[358].end 10022.368
transcript.whisperx[358].text 是的,就整個產業來講,就像剛才這個委員所垂詢的,大軍未至,糧草先行。所以道路周遭的環境的形成是非常非常的重要。所以您剛才所垂詢的部分,我們是充分的參考。
transcript.whisperx[359].start 10023.147
transcript.whisperx[359].end 10043.004
transcript.whisperx[359].text 對我覺得就是說因為部長因為你站在說這個整個這個產業鏈嘛那台積電他當然扮演的已經是台灣的整個產業的一個龍頭那這個龍頭產業要讓他怎麼造成一個產業的群聚有台積電的地方自然他的上下游產業大家自然來群聚所以
transcript.whisperx[360].start 10043.904
transcript.whisperx[360].end 10051.53
transcript.whisperx[360].text 除了科學園區之外臨近的產業園區就像嘉義我們的嘉科旁邊就有所謂的馬籌後園區那馬籌後園區呢他現在有一個45公頃就是我們過去講的叫做要把它規劃叫園中園
transcript.whisperx[361].start 10059.056
transcript.whisperx[361].end 10069.105
transcript.whisperx[361].text 那我們希望這裡就是一個半導體的一個材料的一個供應鏈所以我們希望說這些材料商就大家都要來買到好這裡那我們這裡也準備最好的一個環境那我們也多次的跟我們產業園區署這邊希望他們趕快來把這個招商的後續的一個程序趕快來推動我想要請教一下部長
transcript.whisperx[362].start 10083.618
transcript.whisperx[362].end 10112.01
transcript.whisperx[362].text 那這個遭傷的行為你們在可以在什麼時候可以來開始來這個馬籌厚後期的一個遭傷現在我想我還沒有收到這個原管局的這樣的一個報告那我回去以後會來了解一下因為畢竟這個COAS在嘉義要設那麼多廠的話那馬籌厚就像您剛剛所垂詢的它自然而然
transcript.whisperx[363].start 10113.471
transcript.whisperx[363].end 10128.704
transcript.whisperx[363].text 這個供應商會接近它,因為這個logistic,這個搬運各方面這個距離越短越安全,成本越低。對啊,所以馬草後加加克這麼快嘛,對不對?這應該是沒問題啦,這花若盛開蝴蝶自來。
transcript.whisperx[364].start 10129.344
transcript.whisperx[364].end 10151.77
transcript.whisperx[364].text 發落盛開的蝴蝶自來,不然我們會緊嗎?我會覺得你頂屬早一點的嘛,就是說整個也很好,因為那100坪齁,它是台糖齁,它是台糖分配的,那台糖是沒有能力去接觸到這些廠商的。我們會整體跟國客會一起來理會。對,因為你們經濟部才有辦法去把那些廠商要引來,然後告知這些廠商說未來,
transcript.whisperx[365].start 10153.03
transcript.whisperx[365].end 10168.662
transcript.whisperx[365].text 包括說台積電在於加科的布局所以如果這些供應鏈可以到馬籌後馬籌後確實有這樣理想的一個場地所以我想這要快報告委員這都是國發會在經歷經濟部是這間單位所以我會跟那個國發會留守會我來跟他報告
transcript.whisperx[366].start 10173.905
transcript.whisperx[366].end 10196.712
transcript.whisperx[366].text 說有委員這樣的建議那我們是不是把這個速度稍微拉高一點除了國發會之外我們的產業園區署也是因為我們馬超是產業園區署這邊未來要是是是他要來執行的啦所以我想他的腳步還要快的那是真的有差好不好好那第二個就是說我們知道說這個整個綠能的一個發展啦齁
transcript.whisperx[367].start 10197.572
transcript.whisperx[367].end 10225.828
transcript.whisperx[367].text 那綠能的發展當然會涉及到說包括我們在陸域風機已經10年就有一個汰換所以未來好像會有超過900隻的葉片它就會變得需要被汰換那除了這個葉片需要被汰換之外事實上我也很好奇因為我們光電已經推動了已經好幾已經都10幾年了啦所以光電也開始會進入所謂光電版的汰換期了
transcript.whisperx[368].start 10226.668
transcript.whisperx[368].end 10240.971
transcript.whisperx[368].text 那我想要請教的就是說就於這樣一些風電或者是光電他們這一些零件或者是光電板的汰換或者是他們需要去化不要讓他們進一步變成這個廢棄物變成造成污染的廢棄物那我們現在經濟部有做好這些規劃嗎?
transcript.whisperx[369].start 10250.673
transcript.whisperx[369].end 10272.901
transcript.whisperx[369].text 報告委員我們規劃都有啦那個光電的部分比較沒有問題這個風電的部分也是在進行中我想這個3R Reduce Recycle跟Reuse都是我們經濟部在處理的部分事實上光電的部分我有一個比較好奇啦我好奇的就是說如果光電的這個契約已經到了那你們是希望他要更新設備
transcript.whisperx[370].start 10274.847
transcript.whisperx[370].end 10289.592
transcript.whisperx[370].text 還是他可以直接延長契約?你們希望的方向是怎樣?能源署可不可以說明一下?跟台電或是業者另外有簽約是他民事上的問題
transcript.whisperx[371].start 10292.113
transcript.whisperx[371].end 10314.027
transcript.whisperx[371].text 大方向,我說光電如果到齊了,好,它如果是20年嘛,那20年到了後,他們是要更新光電板,因為現在光電板的技術是越來越好嘛,對不對?所以你們是會要求他更新,還是說你舊的沒關係,反正你就繼續循環?我們當然希望他能夠更新,因為更新的話也許面積可以縮小,發電量不會變,或者是同樣的面積發電量可以增加。
transcript.whisperx[372].start 10321.712
transcript.whisperx[372].end 10350.163
transcript.whisperx[372].text 看他們自己民間契約怎麼走,這樣嗎?我們當然會盡可能協助他們,就是說...協助喔?我根本已經熟客看過了啦!你們需要政策手段,還是說你們只是站在輔導、鼓勵,這個是不一樣的喔!謝謝委員!好,謝謝!謝謝財議委員!部長回座!部長,如果花落不開,那狐狸會去哪裡?為了花落不開,那狐狸就不來了?不來了!
transcript.whisperx[373].start 10364.564
transcript.whisperx[373].end 10386.118
transcript.whisperx[373].text 來OK好下一個我們請邱志偉委員質詢好謝謝主席要請郭部長請部長台電曾總經理曾董事長然後台水李董事長郭部長、曾董事長、李董事長
transcript.whisperx[374].start 10387.762
transcript.whisperx[374].end 10416.025
transcript.whisperx[374].text 委員長這個部長早辛苦了齁我們先看台點那個台水的漏水率雖然說昨天有下降我們編了兩期阿現在114年開始推動新一期的降低漏水率計畫我們編的編的大概是72億計畫是114年到121年齁那114年要降到11.55%好如果這72億執行7年你到121年的時候你漏水率會降到多少
transcript.whisperx[375].start 10418.866
transcript.whisperx[375].end 10424.188
transcript.whisperx[375].text 報告委員那個114年是72億我們到121年我們整體的計畫總金額是808億808億那是單一年度的預算那你111年要變到800億嘛對不對到121年800億你會降到多少9.9%、9.77%
transcript.whisperx[376].start 10443.274
transcript.whisperx[376].end 10467.775
transcript.whisperx[376].text 才11.55經過7年在9.77合共800億那你上一屆上一期102到1113這花多少錢花了加1030億1030億你們效能可要提高啦你看你將一年的漏水率110年來看相當於全國人口的62天的民生用水量所以你這個
transcript.whisperx[377].start 10469.232
transcript.whisperx[377].end 10497.911
transcript.whisperx[377].text 漏水率的降低你應該要設定更好的標準更嚴格的標準你剛剛誤以他如果我給你800億你這樣5以下我們可以接受好不好我們來努力跟委員報告現在我們下一階段的那個漏水率現在已經降到大概12.5嘛12%以下那越降越低的話每1%的話要投入的金額是要越高的
transcript.whisperx[378].start 10499.731
transcript.whisperx[378].end 10513.147
transcript.whisperx[378].text 但是你總體漏水率我希望說你的效能能夠更好一點畢竟這個800億的預算不算少另外你們這個新預的部分因為你們自有水量自有水來自於這個水庫比較多對不對
transcript.whisperx[379].start 10514.554
transcript.whisperx[379].end 10519.116
transcript.whisperx[379].text 有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份
transcript.whisperx[380].start 10533.441
transcript.whisperx[380].end 10554.887
transcript.whisperx[380].text 跟委員報告我們自有水源比例會下降的原因因為是營商地區有地層下限一個防治的方案那減沖地下水這些地下水原先都是我們自有水源你要跟台水台水要跟另外一家公司買嘛北水處我們因為水情如果不佳的話我們要跟北水處那水價長期一國兩制我想這個部分
transcript.whisperx[381].start 10558.849
transcript.whisperx[381].end 10569.439
transcript.whisperx[381].text 這個我們有跟北水處也協調多次了啦,那水利署這邊也有協助來跟北水...未來朝向水價是不是能夠統一?這個部長,這個專注一個方向來努力
transcript.whisperx[382].start 10574.114
transcript.whisperx[382].end 10590.692
transcript.whisperx[382].text 水價的部分我想未來能不能夠調整是這個審議委員會的事我不是說水價調整啦就是說你北水處跟台水它的水價能不能統一啦主管機構不一樣齊建副嘛 但是你們可以去協調啊
transcript.whisperx[383].start 10594.143
transcript.whisperx[383].end 10614.783
transcript.whisperx[383].text 亞航總裁楊金榮說,川普上任之後,他會建議政府加強對美國的投資跟採購。投資項目當然,川普需要的就是半導體,所以是先進製程的部分。當然,我們採購的部分,除了農產品還有其他的部分,我想問的是天然氣的來源。
transcript.whisperx[384].start 10616.425
transcript.whisperx[384].end 10639.684
transcript.whisperx[384].text 天然氣主要的這個起源國大概是澳洲最多大概4成多然後卡達大概也3成多以前有俄羅斯現在俄羅斯當然不行但美國還是停留在10%未來有沒有可能對美國的天然氣採購能夠再增加這部分這個台電有沒有負案我想策略上應該會這樣子因為美國這個目的主要就是要打壓這個俄羅斯
transcript.whisperx[385].start 10641.024
transcript.whisperx[385].end 10663.479
transcript.whisperx[385].text 是阿 阿俄羅斯現在分散到其他的國家但是卻沒有分到美國所以我們對美國天然氣的採購我希望說是不是在未來能夠我們來增加對美國的這個採購另外你這個台電的預算的補助獎補助或者投資阿你看大家都問說過去三年度大概投了五千億阿我是怕未來會不會成為常態化
transcript.whisperx[386].start 10665.336
transcript.whisperx[386].end 10679.049
transcript.whisperx[386].text 你要因為能源成本高升不降然後又有政策的目的這個部分你這種結構你成本沒有辦法降然後又有政策的目的要去達成長年性的補貼會變成一個常態化我很擔心這樣子
transcript.whisperx[387].start 10683.687
transcript.whisperx[387].end 10707.193
transcript.whisperx[387].text 這會不會發生呢?我們來我們基於我們在衡量這個整個台電的這個財務結構我們發現這個材料的成本影響也很大第二個這個動漲然後影響這個公司營運這個也很大我們會就這個公司為什麼會造成虧損做深入的資料解那麼針對這個部分我們來改善我認為啦這個
transcript.whisperx[388].start 10709.633
transcript.whisperx[388].end 10731.259
transcript.whisperx[388].text 現在如果這個2000億可以撥補進來的話那對我們來改善財務我們現在的財務光是利息就300多億我擔心說未來每年都變常態性的都要憋1000億我是擔心這種狀況如果結構沒有調整的話昨天我請教您中油亞林最低價你說這個鬆綁這個鬆綁是誰要去處理的亞林最低價這個可能是要
transcript.whisperx[389].start 10738.32
transcript.whisperx[389].end 10762.623
transcript.whisperx[389].text 亞林最低價是當初什麼107年制定2007年制定的對這個要鬆綁要如何鬆綁呢現在我們希望能夠鬆綁要如何鬆綁你們希望鬆綁要如何鬆綁那個是因為油價公司本來是中油公司自己決定的事項所以中油公司他可以自己決定但是他因為因為這個都亞林最低價的這個約束是來自哪裡
transcript.whisperx[390].start 10763.908
transcript.whisperx[390].end 10788.6
transcript.whisperx[390].text 就是在有限公司上面那這個部分是誰可以去調整?經濟部能不能調整?經濟部能不能調整?還是要涉及修法?這沒有涉及修法但你經濟部可以去調整阿是你現在亞銀最低價因為韓國、日本都受到政府補貼我們他們有政府補貼我們還是維持最低價那當然對中油不公平阿所以如果這個部分要調整的話經濟部會跟中油公司我們一塊討論
transcript.whisperx[391].start 10789.44
transcript.whisperx[391].end 10814.755
transcript.whisperx[391].text 那因為這個還有涉及到穩定就是物價各方面的考量所以我們會這個我們會跟中國公司我們油價在雅林是一直最低價那他們也有其他政府的補貼我們沒有政府補貼特別是中油所以這不會盡快去思考如何把這個雅林最低價鬆綁讓這個油價能夠回歸到市場比較市場機制又能夠兼顧這個不要造成這個通貨膨脹或者民生物價上漲
transcript.whisperx[392].start 10815.976
transcript.whisperx[392].end 10843.572
transcript.whisperx[392].text 我們會內部討論完以後跟院裡面報告然後這個 儘快去 那麼三個月之內提出一個檢討另外這個韓電 我們有台電 那韓國也有韓電嘛韓電阿 它的這個 核能發電佔了三成左右韓國有人說阿 有人有一些小朋友說 我用核電用核電發電的話 我的這個電價會下降 是迷思欸
transcript.whisperx[393].start 10846.504
transcript.whisperx[393].end 10870.62
transcript.whisperx[393].text 韓電燒錢比我們燒得更嚴重,它虧損比我們還多,它的核能佔了三成,我們目前只有6.3%,對不對?所以核能不是造成能源、能夠、電能夠下降的一個因素嘛。所以大家都很擔心,這個迷思說,哇,這個核電,我發展核電會讓能源的成本降低。
transcript.whisperx[394].start 10874.628
transcript.whisperx[394].end 10886.534
transcript.whisperx[394].text 韓國的經驗要讓大家知道韓國百分之三十都是恆隆發電可是它虧損還比台灣更嚴重是的我時間到了我要做一個榜樣謝謝委員好 謝謝邱委員
transcript.whisperx[395].start 10901.018
transcript.whisperx[395].end 10922.578
transcript.whisperx[395].text 好 謝謝下一位質詢請陳昌明委員謝謝召委首先有請郭部長還有水利市林沐市長還有自來水公司的李董事長
transcript.whisperx[396].start 10925.876
transcript.whisperx[396].end 10952.629
transcript.whisperx[396].text 施理署副署長柏中啊我剛才聽到很奇怪我們的執政黨內越來越不掌勁人家是比高帶一間房子要賺錢我們是代表說比一個公我們比什麼公比較會賠錢我講這個就你思維有不同的我希望不要沉迷這樣什麼政策都要去辯護對就是對錯就是錯我們比高要賺錢
transcript.whisperx[397].start 10955.811
transcript.whisperx[397].end 10981.062
transcript.whisperx[397].text 不要跟韓國跟日本來比,比虧錢了,那說起來很小事。好嗎?第二點,我今天怎麼特別請水利市跟自來水的公司,因為自來水在地方上是名稱非常重要,這幾年我非常深深地感受水利市跟自來水公司在苗栗縣這樣遠遠地一直鋪,
transcript.whisperx[398].start 10983.283
transcript.whisperx[398].end 11001.603
transcript.whisperx[398].text 本來有一個鄉鎮59%現在到85%再繼續以下90%讓我覺得很有面子我特地來感謝他們這兩個單位第一我送給水利署、天花府、水庫趕快跟安排、我會安排跟我們縣長來討論如何要來籌建這個
transcript.whisperx[399].start 11005.453
transcript.whisperx[399].end 11016.729
transcript.whisperx[399].text 今天我要跟部長推自來水公司討個人情自來水公司目前虧損171億負債EAA去借錢債務逾一個1300多億你都沒給錢花
transcript.whisperx[400].start 11022.156
transcript.whisperx[400].end 11048.934
transcript.whisperx[400].text 所謂自來水公司都是很可憐的,人家就又不能請議員還要替人家撐傘,這可憐在哪裡呢?沒有水就說自來水要漲,有這多半都忘了,像最近颱風來了水庫滿滿的大家忘了但是你做保證,你說你最擅長財務的管理,希望給自來水公司多多的幫忙一下
transcript.whisperx[401].start 11050.172
transcript.whisperx[401].end 11066.637
transcript.whisperx[401].text 他的理涉金入占18點多餘,占他成本的5.6,我看這有哪有國家來補貼啦,更重要讓自來水股能呼吸一下,你看完嗎?我來請述啦齁,我來請述一點我相信你的領導,你現在紅人,第一個
transcript.whisperx[402].start 11072.662
transcript.whisperx[402].end 11095.447
transcript.whisperx[402].text 我經常在質詢我是清清代過,我是說你要聽我的意思我堅持反對中鋼這綠電買賣的售價平台,按照我反對我們的離岸風力的國產化,南北各一家北的是四季鋼,南的是中鋼,這公司很大很偉大
transcript.whisperx[403].start 11097.83
transcript.whisperx[403].end 11111.714
transcript.whisperx[403].text 但是投資了64億,虧損到一毛錢沒有,沒有自我檢討,沒有自我講安卓人的成功,一本錢那抽,那抽不成功,十幾天湊起來做,做到紅紅紅紅。
transcript.whisperx[404].start 11114.435
transcript.whisperx[404].end 11131.046
transcript.whisperx[404].text 我是有一點來看看既然中鋼營對綠電沒有貢獻硬的不行你又來吃軟的綠電品牌我間接反對這個不能只以擔當你可以選別給台電台電現在是再多不醜萬億虧損不差那一點點
transcript.whisperx[405].start 11133.507
transcript.whisperx[405].end 11157.835
transcript.whisperx[405].text 如果賺錢可以彌補虧損對不對?你不知道算那堆斷了沒來行的中鋼那些來的啊?你曉得嗎?60幾億虧損他不會投資我感覺這很悲哀的事情尤其光電都在南部產生一個弊端中鋼已經被南部的私立把持連台電都不敢講話我一把你斷了這樣知道嗎?了解啊 再來
transcript.whisperx[406].start 11162.216
transcript.whisperx[406].end 11187.952
transcript.whisperx[406].text 你說花絡剩下與蝴蝶自來我現在拿一個資料去看本來就要問了我不知道現在蘋果把台灣生產線移到印度英偉達把高端的晶片準備給韓國高通高端的機師也移到日本波音在台灣做一些零件全部
transcript.whisperx[407].start 11189.554
transcript.whisperx[407].end 11205.229
transcript.whisperx[407].text 把他移出去。再來,我們的星巴克在台灣恍恍惚惚,現在總部要遷到印尼。再來,肯達基的物流中心在台灣,現在移到菲律賓澳。
transcript.whisperx[408].start 11206.81
transcript.whisperx[408].end 11226.485
transcript.whisperx[408].text 特斯拉、馬斯克、太空訓練說臺灣的工廠都要到泰國、越南設一家分工廠,把它移出去。電裝全部延發在臺灣全部停止了。
transcript.whisperx[409].start 11227.302
transcript.whisperx[409].end 11248.98
transcript.whisperx[409].text 所以說,如果你盛開這些為什麼要撤離國情?我告訴你,我記得我看一個資料,你說台積電的兩難民絕對不會移出去,你不還為難?然而這個政府把台積電當作禮物到處送,你講是擴大雄偉的實力,台積電真的很不想吃氣啊!
transcript.whisperx[410].start 11249.801
transcript.whisperx[410].end 11261.309
transcript.whisperx[410].text 那是可憐啦!沒辦法啦!我們在別人的菜點那地方抬!講得最是一套喔!確確實實的內幕你最清楚!
transcript.whisperx[411].start 11262.079
transcript.whisperx[411].end 11289.685
transcript.whisperx[411].text 那這裡面是代表發作、生開那些大公司應該要來怎麼只有我們的台積電把他外送出去我感覺你這個要檢討啦這兩件生存意義我們自己寧願曉得現在都大家不敢講未來這是戰爭的一個前兆你們都在暴露你們的執政黨到時候有人留在台灣嗎我跟你講這個叫做掏空台灣
transcript.whisperx[412].start 11292.114
transcript.whisperx[412].end 11297.028
transcript.whisperx[412].text 一點有時候講起來又不能講明但是都要說好聽的
transcript.whisperx[413].start 11298.732
transcript.whisperx[413].end 11326.07
transcript.whisperx[413].text 好不好,這點我希望大家應該很感受很深啦。您做兄弟倆,學到你知道啦。我們的大本營是富國深山,優惠四分五裂,絕對的。你的技術,連商業機密都要叫你交出來,你有什麼保障?再來,現在要說你的注意點。你手下的四家大公司,台電、中油、台水、台糖,
transcript.whisperx[414].start 11327.483
transcript.whisperx[414].end 11340.789
transcript.whisperx[414].text 我看這個領事我看起來實在講彼一時的此一時的昨非今是今是昨非,策政的人要有擔當。我不知道你有擔當沒有擔當,你看起來很有擔當,這個趨勢都很好地,還有這個經驗地。
transcript.whisperx[415].start 11346.618
transcript.whisperx[415].end 11348.341
transcript.whisperx[415].text 那為什麽要跟你談這個問題呢?馬英九前總統,郵件酸長,後屆執政黨首席他在民國97年5月,郵價調漲12%
transcript.whisperx[416].start 11359.554
transcript.whisperx[416].end 11362.418
transcript.whisperx[416].text 民國97年7月油價再調漲4%電價調漲12%在民國101年4月油價漲10.7%電價漲29.5%因為現在實在讓民進黨很糟蹋
transcript.whisperx[417].start 11378.118
transcript.whisperx[417].end 11379.179
transcript.whisperx[417].text 從97年101年拖到100年
transcript.whisperx[418].start 11399.636
transcript.whisperx[418].end 11423.664
transcript.whisperx[418].text 一時連開始轉虧當然你有說新冠疫情當然你有說是兩岳的戰爭我現在上來聽看你有擔當嗎?看你有起票嗎?看你有真實做事嗎?台電很可憐的公司政策的左馬生你知道他到現在虧損一兆嗎?如果這兩千億撥給他
transcript.whisperx[419].start 11426.84
transcript.whisperx[419].end 11440.402
transcript.whisperx[419].text 一共將金融撥走了6600億它在114年的quotient還繼續有3000億所以它是quotient的一兆中油將近4000億的quotient
transcript.whisperx[420].start 11442.915
transcript.whisperx[420].end 11458.872
transcript.whisperx[420].text 自來水公司170億虧損,台糖公司只有賣土地、租土地賺錢。看你外國,你這個尖閣從業小公司做到這麼成功,你說財務你做了該來行,你有什麼辦法這樣來改過這問題嗎?我講得很實際喔。
transcript.whisperx[421].start 11464.912
transcript.whisperx[421].end 11488.568
transcript.whisperx[421].text 如果廠長政策,他現在要討好選票,這8年都沒有漲到一毛錢,我愛百姓但是實際的話,非常困,這個是台灣政治悲哀的地方,台灣政治如果很虛偽的地方都不敢把真實的情況告訴百姓,台灣面臨的問題簡單一下,稍微做一下,一分鐘給部長回答
transcript.whisperx[422].start 11495.416
transcript.whisperx[422].end 11496.201
transcript.whisperx[422].text 法定人數不足
transcript.whisperx[423].start 11497.759
transcript.whisperx[423].end 11515.269
transcript.whisperx[423].text 發言委員,我相信你所計較的部份,我都來檢討。我相信你有能力,明天要拿出來。可以不做官,可以要尊重為台灣百姓做事,不是掛在嘴裡,天天都講那些噁心裝的口號。謝謝,謝謝委員。陳昭明委員,與眾欣賞,為國為民,令人感動。部長請回座。
transcript.whisperx[424].start 11527.66
transcript.whisperx[424].end 11542.936
transcript.whisperx[424].text 來 下一位質詢請羅志強委員主席有請郭部長跟曾董事長請經濟部郭部長排練曾董事長
transcript.whisperx[425].start 11548.84
transcript.whisperx[425].end 11570.118
transcript.whisperx[425].text 委員好部長、董事長台中火力發電廠一期燃氣計畫的兩部燃氣機組預計何時上線明年跟後年2025年跟2026年那燃氣機組上線之後中火燃煤的一號機、二號機何時可以拆除
transcript.whisperx[426].start 11571.374
transcript.whisperx[426].end 11593.752
transcript.whisperx[426].text 我們預計2026年底開始拆2026年底開始拆那明年中火第一部燃氣機組上線那是不是就可以同時去減煤了跟委員報告就是說中火已經從他原來的1800萬噸的用煤量降到現在1200萬噸的用煤量他其實是已經先降
transcript.whisperx[427].start 11595.237
transcript.whisperx[427].end 11601.459
transcript.whisperx[427].text 臺電預估今年的藍莓用量是2450萬公噸,明年是多少?臺電預估今年的藍莓用量是2450萬公噸,明年是多少?大概2200萬左右
transcript.whisperx[428].start 11613.837
transcript.whisperx[428].end 11625.614
transcript.whisperx[428].text 我想之前齁您是講是說你現在剛剛講是2026年嘛可是我剛剛看到我的資料是說你說等到2031年中火第二期的第一部燃氣機組上線齁才要開始減煤300萬噸嘛
transcript.whisperx[429].start 11628.26
transcript.whisperx[429].end 11646.054
transcript.whisperx[429].text 是這個意思嗎?跟委員報告那個是我們在環評上面跟環評委員會提出來的屋頂的限制方案但是我調度上面只要調得過我們其實就會開始慢慢的只要用電量成長的幅度沒有特別高
transcript.whisperx[430].start 11647.255
transcript.whisperx[430].end 11660.399
transcript.whisperx[430].text 其實是個屋頂我們只要調度可行我們就會逐步的來減煤那明年最明年主要是麥寮要下去所以麥寮那邊大概會減掉500萬噸那我想請教我們回到中火的問題中火10部燃煤機組的裝置發電容量是5500那個百萬瓦嘛對不對550萬千瓦
transcript.whisperx[431].start 11675.563
transcript.whisperx[431].end 11679.708
transcript.whisperx[431].text 那2023年實際發電量是3600MW嘛對不對百萬瓦2023年實際發電量應該是270億度左右
transcript.whisperx[432].start 11688.564
transcript.whisperx[432].end 11705.379
transcript.whisperx[432].text 嗯好沒關係我看你的計算基準就是用的那個單位不一樣那我要重點是什麼重點是講就是說實際上以所謂的實際發電量來對比所謂的中火一期的兩部燃氣機組
transcript.whisperx[433].start 11707.08
transcript.whisperx[433].end 11729.611
transcript.whisperx[433].text 加上這個2026年可以完成的中加民營燃氣廠的裝置容量, 核氣大概就是3200這個百萬瓦嗎?是嗎?每個瓦?對,3200每個瓦那其實就跟新增的燃氣發電量幾乎跟現在中火燃煤發電量差不多啊,沒錯吧?
transcript.whisperx[434].start 11730.875
transcript.whisperx[434].end 11732.837
transcript.whisperx[434].text 中央政府總預算案附屬單位預算案
transcript.whisperx[435].start 11747.448
transcript.whisperx[435].end 11762.723
transcript.whisperx[435].text 要用一致單位我才有辦法跟你比較,因為手上我沒有幾億度的電啊。我這樣講,我不知道我原來拿到那個3600MW是什麼基準啊,但是我們基本上都是用煤量直接相關的。你裝置發電一般也未必用到嘛,對不對?
transcript.whisperx[436].start 11762.723
transcript.whisperx[436].end 11766.046
transcript.whisperx[436].text 是。所以你用這個公司算下來是多少?
transcript.whisperx[437].start 11766.046
transcript.whisperx[437].end 11766.407
transcript.whisperx[437].text 我們是5500MW。
transcript.whisperx[438].start 11769.366
transcript.whisperx[438].end 11795.732
transcript.whisperx[438].text 你歸後再把實際數字給我好不好因為我這也是從台電資料抓下來的那你的數字跟我說跟我不一樣那你把實際數字給我所以我的問題是為什麼既然以所謂的發電量來看我講不是裝置容量那為什麼不能在一期的兩部燃氣機組上線的時候就開始及早減煤一定要做到2034年才能夠做到中火無煤化
transcript.whisperx[439].start 11796.892
transcript.whisperx[439].end 11812.498
transcript.whisperx[439].text 我是認為你們的做法端可以再積極一點因為台中其實承擔這麼大的一個火力發電產生的所謂的一個排碳對台中人來講也不是很公平沒錯吧那個我跟委員報告就是說台中市的一年的用電度數是340億度那中火發電度數是270億度
transcript.whisperx[440].start 11817.94
transcript.whisperx[440].end 11842.788
transcript.whisperx[440].text 實際上中間有個gap在內我要講就是說今天對台中的人來說的話實際上台中火力發電廠真的是舉世聞名沒錯吧你對那個台中的那個燃氣也好燃煤也好實際上造成台中空氣上的負擔我覺得這一點請你們再積極一點以上謝謝羅志祥委員來部長請回座下一位質詢請賴世保委員
transcript.whisperx[441].start 11854.14
transcript.whisperx[441].end 11877.386
transcript.whisperx[441].text 謝謝主席有請經濟部的郭部長請經濟部的郭部長昨天在立法院關於台電最佳預算做一個中央報告要一千億毛
transcript.whisperx[442].start 11878.775
transcript.whisperx[442].end 11906.041
transcript.whisperx[442].text 是那還有在我們立法院還有另外一個一千億增資一千億你知道嗎?嗯?增資還有一千億你知道嗎?沒有增資一千億有啦兩個一千億拜託還是補助一千億那就等於兩個一千億我就跟你講兩個一千億兩個一千億不是只有一千億如果你做了專案報告
transcript.whisperx[443].start 11907.674
transcript.whisperx[443].end 11908.756
transcript.whisperx[443].text 最後立法院不買單你怎麼辦?彼此摸一摸就這樣子?漲低價還是什麼的?你怎麼辦?我們就是在財務上面去努力嘛就是去借錢啊
transcript.whisperx[444].start 11923.191
transcript.whisperx[444].end 11926.255
transcript.whisperx[444].text 怎麼借錢呢?發公司債?發公司債?
transcript.whisperx[445].start 11926.255
transcript.whisperx[445].end 11939.111
transcript.whisperx[445].text 都可以啊!我想財務的手段有很多種嘛!比如說?比如說就是跟銀行再繼續借啊!你現在借多少?現在借多少?發過...就剛才我需要的這個兩千億就是來補啊!
transcript.whisperx[446].start 11941.318
transcript.whisperx[446].end 11963.568
transcript.whisperx[446].text 這臭人勒這句話部長啊我們立法院就不應該給你過啦這2000億不會給你過你有辦法去借錢啊為什麼給你過對不對你講的不清楚而且你一部就是無所謂的樣子你就無所謂我們有無所謂我們也一直在跟委員溝通就是說請大院能夠同意我們這一個2000億是要來彌補過去因為
transcript.whisperx[447].start 11969.051
transcript.whisperx[447].end 11980.258
transcript.whisperx[447].text 民生的這個成本民生的成本高於我的售價所以這一部分我們是在沒有看到你努力阿你們用比較貴的生產成本的電源這個再生電源阿也是10%而已阿便宜的核電硬不要用大家沒有看到你這個有誠意你說我窮其一切努力沒有辦法啦跟立法院有錢立法院博友第二句話
transcript.whisperx[448].start 11996.488
transcript.whisperx[448].end 11996.568
transcript.whisperx[448].text 發言委員
transcript.whisperx[449].start 12014.941
transcript.whisperx[449].end 12032.308
transcript.whisperx[449].text 我們是在解決目前的問題我們會用綠電是現在我們用電戶他需要綠電至於您剛才所垂詢的這個核電的部分他也占我們一部分的這個現在沒有了現在是非核現在請問你知道核三廠的二號機一號二號機的大修現在是沒有
transcript.whisperx[450].start 12039.891
transcript.whisperx[450].end 12042.833
transcript.whisperx[450].text 現在這個時候是廢物但是我們虧損的時候造成虧損的時候那個時候核電是在運作的
transcript.whisperx[451].start 12048.004
transcript.whisperx[451].end 12067.664
transcript.whisperx[451].text 那我們增加的部分是綠電綠電是市場上需要的所以我必須要滿足市場的需求所以我們要增加綠電這個跟能源政策我相信每一個人的問題也不太一樣好 那我再問你喔因為我時間快到了你的核四2800多億怎麼處理
transcript.whisperx[452].start 12070.575
transcript.whisperx[452].end 12078.043
transcript.whisperx[452].text 合適兩千半百多億怎麼處理?我們按照計劃去執行什麼叫按照計劃?你要講具體的啊?什麼叫按照計劃?聽不懂啊?那我請台電的這個董事長給你報告喔!可以部長這要知道這麼重要的事情你還跟人家跟你說不好意思你跟人家不好意思沒中捏
transcript.whisperx[453].start 12089.042
transcript.whisperx[453].end 12118.302
transcript.whisperx[453].text 報告委員因為那個核四部分還有資產資產我們現在有多少資產不要用了那個電力設備包括電力設備其實還有其他的用途可以做規務請教部長啦部長給你一個你喜歡天馬行空我給你一個天馬行空我做球給你啦核四廠有沒有可能增加他的一個價值所以賣給需要的廠商可以嗎有沒有可能賣給人家這些都有可能啦有沒有可能有沒有開始在接觸
transcript.whisperx[454].start 12119.743
transcript.whisperx[454].end 12146.265
transcript.whisperx[454].text 有沒有開始在接觸我們希望把價值升高把他的這個這個沒有用的提早解決2800億如果按照相關的會計準則他不等於零年金不等於幾十億而已啦想辦法讓他產生價值你的2000億不要跟立法院拿的不要跟馬國興拿的想法跟你是一樣的想辦法做到好不好好 謝謝
transcript.whisperx[455].start 12149.067
transcript.whisperx[455].end 12176.394
transcript.whisperx[455].text 謝謝謝謝委員謝謝來部長回座來下一位諮詢請吳立華委員我們在李玉琳委員諮詢之後會休息休息時間我待會再宣布謝謝主席有請部長請經濟部顧部長還有台水公司
transcript.whisperx[456].start 12177.23
transcript.whisperx[456].end 12198.19
transcript.whisperx[456].text 台海水公司李董事長謝謝委員好部長好就政府的政策我們一直希望能夠提升自來水的普及率那為著我們的用水安全但是在我們的原鄉齁其實過去比較不喜歡自來水
transcript.whisperx[457].start 12198.911
transcript.whisperx[457].end 12213.64
transcript.whisperx[457].text 因為要花錢所以我們都有山泉水可以用而且喝起來比較清甜但是這幾年我們原鄉對自來水的需求越來越高最主要的原因就是因為天災不斷
transcript.whisperx[458].start 12214.64
transcript.whisperx[458].end 12241.155
transcript.whisperx[458].text 所以為了用水的穩定開始原鄉也很急迫需要自來水那這個部分我還是要感謝因為我到立法院這些年我接受到這種自來水需求的申請非常的多那也謝謝逐一逐一的在座以我自己的家鄉馬家鄉來講你看光是嘉義村、梁山村
transcript.whisperx[459].start 12242.236
transcript.whisperx[459].end 12256.663
transcript.whisperx[459].text 整個從會勘到整個規劃包括土地的無償取得加壓站配水池的設置比一般的平地地區複雜很多大概這樣子走完也要兩年所以
transcript.whisperx[460].start 12258.484
transcript.whisperx[460].end 12263.87
transcript.whisperx[460].text 上個月我去達人鄉圖版他們就很開心那我去的時候其實我心裡也蠻難過因為他們告訴我說這個通水典禮其實他們已經等了12年所以我想這個部分對於這種偏鄉像是滿洲鄉最南邊的長樂、八瑤
transcript.whisperx[461].start 12279.046
transcript.whisperx[461].end 12298.331
transcript.whisperx[461].text 那現在包括牡丹水庫它的用水正義到牡丹鄉加壓站的一直設置獅子鄉沿線向最後一里路伊屯草埔還有那個舊的來義村我想這些部分其實都是非常的偏遠但是呢我們也都做到我在這個地方還是要表達感謝
transcript.whisperx[462].start 12299.551
transcript.whisperx[462].end 12322.643
transcript.whisperx[462].text 但是像有一些地方像是蘭嶼它也很需要自來水普及因為水對一個島來講其實非常的不容易取得那包括太安鄉他們那個很深山他們那個大興村沿館也是很辛苦要設好幾個配水池加壓站那不曉得進度如何了我是不是請董事長跟你報告好 謝謝好 謝謝委員的一個推詢那有關蘭嶼
transcript.whisperx[463].start 12328.893
transcript.whisperx[463].end 12356.803
transcript.whisperx[463].text 這一個沿館的工程也在委員這邊的一個協調協助之下本來是有一些民眾有一些反對不過經過委員還有公所這邊協助這些原住民大概理解那我們工程也持續在好幾年了對 已經在進行了我們議定南乙以南業遊村的部分大概明年10月可以完工好 謝謝明年10月那另外
transcript.whisperx[464].start 12357.591
transcript.whisperx[464].end 12382.229
transcript.whisperx[464].text 苗栗縣泰安鄉大新村的這個案目前是水利署用減水的方式來補助給泰安鄉公所新建三座配水池這個我們有做一些技術的一個協助審查我去過很多地方你看這個泰安鄉大新村每一次去召開說明會幾乎都是泉源道塞得滿滿滿的
transcript.whisperx[465].start 12383.63
transcript.whisperx[465].end 12404.119
transcript.whisperx[465].text 所以可以感受到他們對這個自來水的需求比起其他地方高很多所以我特別關心希望可以更加的來關照他們的進度好不好那當然我更關心的是一些地方就是戶數很少因為我們原鄉你們也有你們的評比制度那像這種戶數少的更慘
transcript.whisperx[466].start 12405.339
transcript.whisperx[466].end 12431.104
transcript.whisperx[466].text 其實我們原鄉是因為他離那個主管縣地理環境的關係很遠所以每次要算評比都很辛苦那這種戶數少得更辛苦但是我今天看到你們的預算報告有說第5期114到118有75億齁那我不曉得說因為我從進來立法院就一直講原鄉的地理環境成本效益很難壓在60萬元以下那不曉得這個一直講一直講有沒有改變啊
transcript.whisperx[467].start 12432.332
transcript.whisperx[467].end 12451.742
transcript.whisperx[467].text 發言委員那在最近合訂的第5期計畫裡面原來的成本每戶是60萬現在已經提升到100萬而且檢疫自來水的部分我們加大力度在做維護管理跟很多的水質的改善所以在這一次都有做大幅的提升謝謝委員的
transcript.whisperx[468].start 12454.264
transcript.whisperx[468].end 12469.859
transcript.whisperx[468].text 因為我們原鄉就像那個冰葬那股牆以前我們不習慣但是我們現在這幾年需求量就非常的高希望能夠多關注那我再請教一下部長因為在明年有一個五年一度的日本大阪市博會
transcript.whisperx[469].start 12470.82
transcript.whisperx[469].end 12486.156
transcript.whisperx[469].text 這是很重要的活動那我之前呢有開過協調會有找國貿署外貿協會因為我很關心到底有沒有原住民的文化元素商品展演但是我發現原民會我那邊問進度齁他們跟我說沒有什麼進度欸
transcript.whisperx[470].start 12489.64
transcript.whisperx[470].end 12515.822
transcript.whisperx[470].text 所以這個部分是不是事後來跟我報告為什麼我關切這個你看這是今年9月也是在大阪國立民族學博物館很大的博物館亞洲你看中國把我們原住民的服飾拿去辦一個策展叫做中國地域的文化所以我想這個不論是政治性也好文化性也好我想無論如何原住民的在地文化是我們出去的很重要好不好部長
transcript.whisperx[471].start 12516.983
transcript.whisperx[471].end 12544.82
transcript.whisperx[471].text 那台電這個部分最後一個部分我一分鐘就好因為台電電纜地下滑你們都說已經高達44%高於日韓但是我們原鄉老基於風災啊火災防災的需求還有好風景的需求我們也很需要那我知道的是我關心的幾個案我發現其實市政府也都很願意來分攤但是好像一直沒有什麼進度而且我發現
transcript.whisperx[472].start 12545.6
transcript.whisperx[472].end 12570.345
transcript.whisperx[472].text 像這次的風災或者是這些火災頻頻發生我本來有影片你看我照了好幾個影片都是電纜跟樹木然後造成森林大火所以這個有一些地區原鄉不是不需要電纜地下化那因為時間的關係那是不是一週內不好意思喔董事長跟部長就再來辦公室跟我來做報告好嗎
transcript.whisperx[473].start 12571.385
transcript.whisperx[473].end 12574.667
transcript.whisperx[473].text 今天早上執行到李玉玲委員之後我們會休息40分鐘12點40
transcript.whisperx[474].start 12599.024
transcript.whisperx[474].end 12619.881
transcript.whisperx[474].text 40分鐘等執行完之後我們休息40分鐘好下一位執行請李玉玲委員謝謝主席請經濟部的郭部長、台電公司的曾董事長委員好部長
transcript.whisperx[475].start 12628.479
transcript.whisperx[475].end 12654.716
transcript.whisperx[475].text 我們賴清德總統曾經說要大力的來發展AI人工的智慧讓我們台灣可以在半導體產業跟AI的產業能夠立足在全世界成為一個科技島那部長也應該知道不管是我們的半導體還是AI的這個產業都非常需要大量的電但是我們台灣一直是缺電的情形雖然我們執政的政府一直講說沒有缺電但是還是有
transcript.whisperx[476].start 12656.897
transcript.whisperx[476].end 12662.118
transcript.whisperx[476].text 停電跟跳電事件頻傳的來發生那尤其是天下雜誌的民調特別有提到有七成的民眾很擔心著台灣是缺電的風險另外有七成的民眾更是支持核電跟再生能源可以同步來一起的來發展尤其是在11月13號賴清德總統跟我們的工業總會特別有在談話中表示說只要新的能源能夠發展
transcript.whisperx[477].start 12685.542
transcript.whisperx[477].end 12703.288
transcript.whisperx[477].text 順利到一定的程度還有安全的來處理這個整個核廢料的問題的話可以納入考慮所以部長這是不是就代表說我們賴總統對於核電的這個立場可以有調整而且還支持核電跟再生能源可以有社會共識一起來執行
transcript.whisperx[478].start 12704.79
transcript.whisperx[478].end 12729.692
transcript.whisperx[478].text 報告委員我想您剛才在說這個七成的人擔心我們的電不夠我不知道這個是誰說的不過我在這裡鄭重的跟你報告我剛剛講的就是那個雜誌他們民調出來的結果雜誌民調的對象天下雜誌你一定要參考你不要忽略到我們社會大眾的觀感好不好是是是謝謝委員這個部分我們當然參考
transcript.whisperx[479].start 12731.419
transcript.whisperx[479].end 12735.163
transcript.whisperx[479].text 我要跟你們報告的是說我們沒有缺電
transcript.whisperx[480].start 12736.819
transcript.whisperx[480].end 12751.931
transcript.whisperx[480].text 有缺電還是有頻繁的這個跳電跟停電的問題嘛所以你們一再的保證又說明來澄清但是民眾還是擔心的所以現在我們要讓我們的成為科技島電就要穩定供電所以我現在要問的部長的問題就是說在我們桃園大潭電廠7號機跟9號機一再的延宕
transcript.whisperx[481].start 12761.238
transcript.whisperx[481].end 12767.823
transcript.whisperx[481].text 雖然說有這個九號機已經點火測試了五月測試那八月份也已經併網了但是現在還沒有拿到能源局的執照還沒有辦法供電所以我們請了民間電廠、麥寮電廠他本來是在這個五月份、六月份的時候就要除役現在要延到明年的11月10號11月份明年的11月份才會來除役
transcript.whisperx[482].start 12788.24
transcript.whisperx[482].end 12792.41
transcript.whisperx[482].text 所以這就是因為要補我們缺電的缺口嘛是不是
transcript.whisperx[483].start 12793.357
transcript.whisperx[483].end 12821.932
transcript.whisperx[483].text 報告委員 不是不是那為什麼他要延後廚藝呢你是說那個麥寮那個是因為麥寮那個是不是台電的公司他是民營的啊他是民營的啊那廚藝的時間是到了啊今年的六月啊民營台電之間有契約時間雖然到了但是容量沒有到供電的容量沒有到你們有一套的說法啦那好我們回來講大潭的七號機跟九號機為什麼一直的延後呢
transcript.whisperx[484].start 12824.865
transcript.whisperx[484].end 12839.813
transcript.whisperx[484].text 延後兩次囉王總經理報告委員之前7號機、9號機延後當然是因為COVID-19的關係還有就是惡霧戰爭、缺工等等這些因素但是目前這兩部機已經都在測試運轉了在測試中所以它平常都會有9號機
transcript.whisperx[485].start 12848.258
transcript.whisperx[485].end 12874.558
transcript.whisperx[485].text 7號機是快的9號機已經在5月份測試了8月份併網了現在是7號機還沒有點火測試所以擔心的是萬一測試不成功的話我們是不是又有缺電的問題不會 因為7號機目前的測試的程序都是一步一步很扎實在進行還沒測試啊 什麼時候測試我說我們都會做局部的一個小的一個
transcript.whisperx[486].start 12875.258
transcript.whisperx[486].end 12879.603
transcript.whisperx[486].text 他跟你講了7號機還沒有測試耶9號機測試了還沒發制造我現在問你7號機呢7號機12月初就會點火他測試要成功他失敗的話就沒辦法併網了
transcript.whisperx[487].start 12892.778
transcript.whisperx[487].end 12895.522
transcript.whisperx[487].text 請部長、董事長、總經理加強控管整個的期程不要讓民眾有缺電的恐懼
transcript.whisperx[488].start 12907.415
transcript.whisperx[488].end 12912.157
transcript.whisperx[488].text 臺電的先請回那我們講完電當然要講水那自來水的問題一直有這個漏水的問題跟管線老舊塑膠管線要太舊換新的問題尤其是我們李董事長非常認真的在汰換這管線但是我們把這個數據啊調出來看了之後你看這個漏水的問題
transcript.whisperx[489].start 12933.705
transcript.whisperx[489].end 12951.504
transcript.whisperx[489].text 從各個區 總共有12個區還有加上屏東這些區域我們在平均112年的漏水率平均是12%但是你看到第一區第一區的話是基隆區漏水率是20%屏東區的漏水率還是19%所以這些問題為什麼沒辦法解決呢
transcript.whisperx[490].start 12956.829
transcript.whisperx[490].end 12959.33
transcript.whisperx[490].text 跟委員報告因為第一區是我們基隆地區那他那邊的地形都是丘陵地所以我們加壓佔很多
transcript.whisperx[491].start 12975.342
transcript.whisperx[491].end 12998.39
transcript.whisperx[491].text 那加壓供水管線就比較容易有破損所以要加強管控這個加壓供水雖然說我們這個老舊管線的汰換是有足年代的汰換但是我們這個看到我們這個數據裡面它這個供水的這個漏水率還是還是有增加的部分還是有增加的部分是不是你看到在102年到110年這個情形
transcript.whisperx[492].start 13006.96
transcript.whisperx[492].end 13029.947
transcript.whisperx[492].text 應該我們漏水率是每個單位都有逐漸在減少所以我們的漏水率的話並不是年限的問題有些的話就是地震或是氣候環境的關係所以我們希望有漏水有爆管的我們就直接換新管好不好不要一直補都沒有用你補的後面的話你加壓下去的話它就會爆管了
transcript.whisperx[493].start 13031.155
transcript.whisperx[493].end 13051.726
transcript.whisperx[493].text 對 這個本來在我們的降落的計畫中尤其是 董事長尤其是有塑膠管有塑膠管 我們塑膠管的話也是逐年汰換但是我們看到我們逐年看到這塑膠管的情形也是一樣啊尤其是你看到這個我們的使用年限使用年限的話本來102年是36%的話到了現在112年的話46%這個反而增加了反而增加了這是很奇怪的問題吧
transcript.whisperx[494].start 13060.017
transcript.whisperx[494].end 13072.665
transcript.whisperx[494].text 跟委員報告我們現在那個因為塑膠管要使用年限大概20年可是我們逐年都在換啊這必須要逐年減少嘛所以這個是不是預算不足預算不足的話你就多編一些預算啊
transcript.whisperx[495].start 13074.242
transcript.whisperx[495].end 13100.396
transcript.whisperx[495].text 我們塑膠管是類為優先來汰換使用年限我們現在使用年限是20年還是30年要換管的我們塑膠管是20年很多地方超過30年沒換管我相信自來水公司都有數據資料所以可以朝這方面來換管嘛因為它是30年還是塑膠管的話因為20年以上的機會還不是塑膠管你塑膠管停電再來電的時候它就會爆管
transcript.whisperx[496].start 13101.376
transcript.whisperx[496].end 13124.591
transcript.whisperx[496].text 熱帳人說他就會報館而且塑膠管裡面有很多的誤會的雜誌在裡面是不是所以要優先好不好這是使用年限的問題第二個問題的話就是這個塑膠管的問題塑膠管我沒有看到啦塑膠管雖然你逐年他換的話他有減少部分但是我們希望齁這個一定要按時間來尤其我要提的就是說
transcript.whisperx[497].start 13125.171
transcript.whisperx[497].end 13148.223
transcript.whisperx[497].text 很多的社區沒有使用自來水的他們申請的時候請董事長優先給他們換一個社區都是兩三百戶喔他們用黃米水在飲用因為現在的井水都被污染了所以請董事長尤其是社區的管線要申請自來水請你們優先給他們使用好不好因為是大的社區可不可以那我們要加強這個太舊換新的管線
transcript.whisperx[498].start 13150.504
transcript.whisperx[498].end 13151.304
transcript.whisperx[498].text 我們現在休息12點50分繼續開會
transcript.whisperx[499].start 13192.143
transcript.whisperx[499].end 13192.263
transcript.whisperx[499].text 委員會主席
transcript.whisperx[500].start 13218.431
transcript.whisperx[500].end 13219.111
transcript.whisperx[500].text 委員會主席委員會議
transcript.whisperx[501].start 13239.144
transcript.whisperx[501].end 13246.413
transcript.whisperx[501].text 有限公司、台灣自來水股份有限公司、台灣自來水股份有限公司、台灣自來水股份
transcript.whisperx[502].start 13265.944
transcript.whisperx[502].end 13267.105
transcript.whisperx[502].text 委員會主席委員會長
transcript.whisperx[503].start 13283.015
transcript.whisperx[503].end 13283.555
transcript.whisperx[503].text 委員會主席委員會長
transcript.whisperx[504].start 13310.762
transcript.whisperx[504].end 13311.983
transcript.whisperx[504].text 對啦對啦對啦對啦對啦對啦對啦
transcript.whisperx[505].start 13345.644
transcript.whisperx[505].end 13346.385
transcript.whisperx[505].text 全世界都可以這樣換
transcript.whisperx[506].start 13378.287
transcript.whisperx[506].end 13384.653
transcript.whisperx[506].text 立法院第11屆第2會期經濟部主管:台灣電力股份有限公司:台灣自來水股份有限公司:台灣自來水股份有限公司
transcript.whisperx[507].start 13402.231
transcript.whisperx[507].end 13404.755
transcript.whisperx[507].text 公司公司公司公司公司
transcript.whisperx[508].start 13418.13
transcript.whisperx[508].end 13419.131
transcript.whisperx[508].text 委員會主席委員會主席
transcript.whisperx[509].start 13447.739
transcript.whisperx[509].end 13448.059
transcript.whisperx[509].text 委員會委員會委員會
transcript.whisperx[510].start 13472.112
transcript.whisperx[510].end 13472.832
transcript.whisperx[510].text 委員會主席
transcript.whisperx[511].start 13512.529
transcript.whisperx[511].end 13513.269
transcript.whisperx[511].text 委員會委員會委員會
transcript.whisperx[512].start 13542.904
transcript.whisperx[512].end 13543.064
transcript.whisperx[512].text 議員﹚發言人﹚
transcript.whisperx[513].start 13571.21
transcript.whisperx[513].end 13572.012
transcript.whisperx[513].text 委員會主席委員會主席
transcript.whisperx[514].start 13582.216
transcript.whisperx[514].end 13582.636
transcript.whisperx[514].text 委員會委員會委員會
transcript.whisperx[515].start 13615.745
transcript.whisperx[515].end 13616.746
transcript.whisperx[515].text 委員會主席
transcript.whisperx[516].start 13627.765
transcript.whisperx[516].end 13636.728
transcript.whisperx[516].text 有限公司有限公司有限公司有限公司有限公司有限公司有限公司有限公司有限公司
transcript.whisperx[517].start 13661.451
transcript.whisperx[517].end 13662.132
transcript.whisperx[517].text 委員會委員會委員會委員會
transcript.whisperx[518].start 13684.959
transcript.whisperx[518].end 13685.299
transcript.whisperx[518].text 委員會委員會委員會
transcript.whisperx[519].start 13710.426
transcript.whisperx[519].end 13711.771
transcript.whisperx[519].text 委員會主席
transcript.whisperx[520].start 13715.8
transcript.whisperx[520].end 13740.274
transcript.whisperx[520].text 立法院第11屆第2會期經濟部主管:台灣電力股份有限公司:台灣自來水股份有限公司:台灣自來水股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有
transcript.whisperx[521].start 13748.932
transcript.whisperx[521].end 13761.542
transcript.whisperx[521].text 立法院第11屆第2會期經濟部總預算案附屬單位預算案附屬單位預算案附屬單位
transcript.whisperx[522].start 13781.584
transcript.whisperx[522].end 13782.065
transcript.whisperx[522].text 委員會委員會委員會
transcript.whisperx[523].start 13810.697
transcript.whisperx[523].end 13811.217
transcript.whisperx[523].text 委員會委員會委員會
transcript.whisperx[524].start 13835.196
transcript.whisperx[524].end 13836.476
transcript.whisperx[524].text 委員會委員會委員會委員會委員會
transcript.whisperx[525].start 13864.117
transcript.whisperx[525].end 13869.764
transcript.whisperx[525].text 立法院第11屆第2會期經濟部主管:台灣電力股份有限公司:台灣自來水股份有限公司。
transcript.whisperx[526].start 13886.17
transcript.whisperx[526].end 13900.8
transcript.whisperx[526].text 中央電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:
transcript.whisperx[527].start 13917.456
transcript.whisperx[527].end 13927.978
transcript.whisperx[527].text 一個半月,一個半月好多錢。打一碗,我們得修店的錢。這是我們的公司的股票。這是總管,大家不要的公司的股票。啊?我不知道,好了。
transcript.whisperx[528].start 13952.602
transcript.whisperx[528].end 13957.425
transcript.whisperx[528].text 我不要下得這麼高反正我先把這個報告先寫出來我就是那個誰提的對不對這個蔡...欸不是蔡允潔
transcript.whisperx[529].start 13987.346
transcript.whisperx[529].end 13988.127
transcript.whisperx[529].text 委員會主席
transcript.whisperx[530].start 14014.286
transcript.whisperx[530].end 14018.047
transcript.whisperx[530].text 民眾委員民黨長那我 那個下禮拜總裁有任何
transcript.whisperx[531].start 14036.711
transcript.whisperx[531].end 14037.011
transcript.whisperx[531].text 委員會委員會委員會委員會
transcript.whisperx[532].start 14067.039
transcript.whisperx[532].end 14068.408
transcript.whisperx[532].text 法定人數不足
transcript.whisperx[533].start 14073.604
transcript.whisperx[533].end 14078.707
transcript.whisperx[533].text 這個二九號的音樂會所謂的二九號的音樂會我後來想說應該是你來打他制造集那個
transcript.whisperx[534].start 14103.065
transcript.whisperx[534].end 14107.3
transcript.whisperx[534].text 他就是要結個月會長我跟你講你不要把央行一些事情拿出來講
transcript.whisperx[535].start 15506.803
transcript.whisperx[535].end 15506.823
transcript.whisperx[535].text 楊瓊英議員
transcript.whisperx[536].start 15533.11
transcript.whisperx[536].end 15551.751
transcript.whisperx[536].text 委員好部長、董事長好綠電弊案掏空台灣綠電發展倒退了現在大家疑雲重重本期也非常希望一個國家應該是往正能量的方向去走但是疑雲這麼多我們還是要去理清楚執行到現在
transcript.whisperx[537].start 15553.12
transcript.whisperx[537].end 15573.172
transcript.whisperx[537].text 部長,我們的現在所謂的淪為綠能的這個蟑螂啊,貪蟑王法,掏空台電的天堂。台南有神隱的,有力量的不利利益這麼多錢,最近又爆了彰化雲林。
transcript.whisperx[538].start 15574.852
transcript.whisperx[538].end 15596.678
transcript.whisperx[538].text 你這個賺台電再生能源的賺購電費不法的利益有這麼多所以董事長你當時是擔任政次我相信當時你在執行政策的過程你應該是有參與過那你有沒有覺得你當時的執行政策方向怎麼會導致目前的弊案這麼多這個亂象為什麼
transcript.whisperx[539].start 15599.704
transcript.whisperx[539].end 15616.984
transcript.whisperx[539].text 那個跟委員報告就是我們不管是光電或是其他再生能源案有很多都是用地管理用地管理 原因?用地管理 其中有一個很大部分真的是用地的管理
transcript.whisperx[540].start 15617.745
transcript.whisperx[540].end 15635.191
transcript.whisperx[540].text 他的審查就有非常多的層級那在這個過程裡面我這樣子講包括連簽電線都有入權取得等等相關的問題我們看到現在有很多的案子有很多都是在那個細節的管理上面真的是出了很多的問題
transcript.whisperx[541].start 15636.511
transcript.whisperx[541].end 15636.971
transcript.whisperx[541].text 跟委員報告就是說這個因為我們行政審查分權
transcript.whisperx[542].start 15654.443
transcript.whisperx[542].end 15675.042
transcript.whisperx[542].text 就是分層負責的權利能不能夠統一一個標準其實站在我們經濟部的立場其實也表達過說我們是不是能夠把這些相關不管是容許許可等等的一些規範儘量標準化那經濟部一直在朝著這個方向所以還沒有辦法達成
transcript.whisperx[543].start 15676.603
transcript.whisperx[543].end 15685.515
transcript.whisperx[543].text 因為真的是牽涉到非常所以這個真的是亂成一章中央跟地方也不同你是執行者也是決策者也是現在的董事長你看到這麼多問題部長
transcript.whisperx[544].start 15687.54
transcript.whisperx[544].end 15709.958
transcript.whisperx[544].text 像這樣子難怪蟑螂四處讓我們台電整個天堂把我們挖空那所以本期要請教也就是說原因其實你們知道但是你們做不來也就在當時的決策橫向聯繫根本沒有辦法去做一個讓人民可以信賴的規範出來
transcript.whisperx[545].start 15711.98
transcript.whisperx[545].end 15737.2
transcript.whisperx[545].text 所以在這樣的情況之下本席要請教關於電的囤購補助這個制度來退場減輕了利益的風險降低台電因為保證收購而承擔過度的壓力支持吧本席的立場支持吧這個我們可以納入考慮啦納入考慮是支持還不支持你總是要支持
transcript.whisperx[546].start 15738.041
transcript.whisperx[546].end 15755.26
transcript.whisperx[546].text 支持才會納入考慮你的支持你不要笑我覺得這個很嚴肅的議題支持就是支持納入考慮就是納入考慮是支持那支持我們繼續來討論本來我們很想綠能的發展但是是倒退路的
transcript.whisperx[547].start 15756.101
transcript.whisperx[547].end 15772.446
transcript.whisperx[547].text 部長你注意聽喔我們原本光電的賺夠的補助制度我們為了是什麼為什麼要補助因為我們為了要加強再生燃油的發展快一點鼓勵對不對這個搭朝正能量的方向但是光電跳票2026年要達到23萬不可能
transcript.whisperx[548].start 15776.523
transcript.whisperx[548].end 15805.495
transcript.whisperx[548].text 目前有可能目前多少是可能目前多少什麼是可能我們是2025年目前才完成13.6是2025年然後現在是我們延到2026年2026年是要20GW所以我們要討論因為你之前跳票了來你延後一年對不對2025延後到2026對不對25年還沒到啊對你延後一年嘛你政策宣示了嘛你跟我咬文絕字做什麼對不對那目前你完成多少
transcript.whisperx[549].start 15807.438
transcript.whisperx[549].end 15819.8
transcript.whisperx[549].text 目前是3.6啊那政府怎麼辦失職失能你把錢都花掉讓那個綠蟑螂剛才董事長講了綠蟑螂到處橫行那還有一個重點部長還有一個重點光電併網量不增反減為什麼為什麼照理講你認為很有信心啊你應該要增加今年單一的年度併網量可不可以達成兩個幾個月
transcript.whisperx[550].start 15837.239
transcript.whisperx[550].end 15859.031
transcript.whisperx[550].text 請教這個我是不是請他們可不可以完成來請說明發言委員目前施工的量有達到2GW不過因為有一些地方政府的行政程序比較緩慢跟董事長講的一樣跟曾董講的一樣部長你聽所以你是達不到的現在外界告訴你今年的8月底是多少1.26GW
transcript.whisperx[551].start 15861.311
transcript.whisperx[551].end 15890.353
transcript.whisperx[551].text 去年是多少?2.7幾個萬那換句話說你越弄越糟糕電電網越來越少怎麼辦怎麼辦你花了大批的錢剛剛所說的不管能源局不管是董事長所說的都是他們碰到這麼多的瓶頸答案是結果論是答不到的所以部長你要面對這個問題你要面對這個問題啊你明明答不到啊你明明答不到你要怎麼樣做
transcript.whisperx[552].start 15891.909
transcript.whisperx[552].end 15903.581
transcript.whisperx[552].text 你反而花大把的錢導致你的這個光電併網量是越少跟以前是比較起來是越少這個邏輯講不通嗎這個邏輯是講不通的啊所以我告訴你你的量就已經少了啊
transcript.whisperx[553].start 15913.627
transcript.whisperx[553].end 15914.647
transcript.whisperx[553].text 人民不是提款機
transcript.whisperx[554].start 15940.752
transcript.whisperx[554].end 15948.359
transcript.whisperx[554].text 財務的缺口你有答應說什麼時候要拿出台電的這個財務改善計畫輸出來因為我們現在要審預算了什麼時候沒有沒有請問部長因為部長在大院以及在這邊都有答覆
transcript.whisperx[555].start 15958.988
transcript.whisperx[555].end 15973.882
transcript.whisperx[555].text 我講今年底嘛今年年底嘛對啊所以你要誠懇的回答就今年底因為現在要審預算了來本席請問近三年如果再加上這一次的追加明年度的公務預算1000億三年5000億我請問你早上回答說如果如果115年還有個1000億這是真的假的啊
transcript.whisperx[556].start 15984
transcript.whisperx[556].end 16007.916
transcript.whisperx[556].text 聽到這個會讓我們嚇一跳耶是真的假的請我願意給你說明清楚委員我可以講嗎我請你講啊我報告委員我們是真的假的這個一千億兩千億或者是將來的一千億都是在彌補過去的因為補助民生電價而造成這樣子的邏輯本席聽不下去本席請問針對本席的議題回答
transcript.whisperx[557].start 16009.983
transcript.whisperx[557].end 16015.252
transcript.whisperx[557].text 也就是你的心中有沒有115年希望還要1000億來撥補有沒有你早上說了從你的口中說出來有沒有
transcript.whisperx[558].start 16019.864
transcript.whisperx[558].end 16048.513
transcript.whisperx[558].text 你的心中有沒有預估115年你會不會再有1000億的來撥補會不會我現在沒有辦法判斷115年是不是要撥補你早上回答在這個都有會議記錄都有影音嘛是委員你說如果還有1000億啊大家聽了下一條委員千萬不要斷章取義來請你說明會不會你告訴我就好了會不會現在沒有辦法判斷現在沒有辦法判斷所以有可能謝謝
transcript.whisperx[559].start 16050.635
transcript.whisperx[559].end 16063.794
transcript.whisperx[559].text 是不是?好,你不講,你雙手一攤。第二個本集請問,如果這個預算,這個追加跟明年度的預算真的給再兩千億、三年五千億,請問明年會不會漲價?
transcript.whisperx[560].start 16066.285
transcript.whisperx[560].end 16087.872
transcript.whisperx[560].text 長假是電價審議委員的工作啦對 所以還是沒有辦法回答所以最後就成如你信中所說的你現在還沒有辦法預估你願不願意說115年不會再有1100億的這個波幅在你當任部長 會不會未來的事情我沒有辦法在這個地方回答那我們要問誰啊好 謝謝 歡迎時間到 梁委員
transcript.whisperx[561].start 16088.792
transcript.whisperx[561].end 16113.284
transcript.whisperx[561].text 我們要問誰啊?人民不是提款機耶!我們現在台電4千多億的虧損!我們問你們,你們要拿出方針啊!對不對?我們會努力啦!我們真的會努力!我們大家一起努力!那個,發言事已經差不多很多了!我們以實際討論的問題因為你早上說了
transcript.whisperx[562].start 16118.286
transcript.whisperx[562].end 16119.506
transcript.whisperx[562].text 請你趕快把你的財務規劃拿出來
transcript.whisperx[563].start 16148.432
transcript.whisperx[563].end 16173.344
transcript.whisperx[563].text 我沒有辦法告訴他回答他不回答下次等你當主席再說我要確保夏威夷我公正不惡他有回答啦他有回答你沒有聽進去而已他回答不是你要的條件怎麼現在你在質詢我呢
transcript.whisperx[564].start 16178.51
transcript.whisperx[564].end 16178.931
transcript.whisperx[564].text 請經濟部部長、台電曾董事長
transcript.whisperx[565].start 16211.104
transcript.whisperx[565].end 16215.162
transcript.whisperx[565].text 台電成本來自發輸、配售各個環節成本都有上升
transcript.whisperx[566].start 16218.062
transcript.whisperx[566].end 16238.695
transcript.whisperx[566].text 來部長我想跟您說一下我們之前講到國營事業球隊的保險的部分我們知道經濟部現在有積極在面對但是呢相關的進度我認為我們可以推進的更快但是我就不再利用時間在這邊跟您討論後續我們會持續追蹤但是對於你們的做法我們先給予正向的肯定另外呢其實在球隊裡面呢我們暑假都有規劃這個放電影對嗎部長你知道嗎
transcript.whisperx[567].start 16242.145
transcript.whisperx[567].end 16245.547
transcript.whisperx[567].text 台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:台灣電力股份有限公司:
transcript.whisperx[568].start 16272.605
transcript.whisperx[568].end 16273.106
transcript.whisperx[568].text 委員會大使
transcript.whisperx[569].start 16284.841
transcript.whisperx[569].end 16305.306
transcript.whisperx[569].text 他做了哪些事情以台灣運動好事協會這是他自己成立的協會他做了什麼事情例如說他過往跟巴勒斯坦的女子棒球隊以贈送球具的方式創造了運動外交的連結當然那個送的球具不是你們給的他跟民間募款來的可是未來他們還有更多例如說他們想要跟孟加拉紐蘭發展計畫
transcript.whisperx[570].start 16306.866
transcript.whisperx[570].end 16331.685
transcript.whisperx[570].text 做合作那他們即將在12月前往孟加拉舉辦教練研習營那這個研習營的部分呢他們要做的方法是辦理線上國際初階教練講習先協助孟加拉8位籃球教練獲得教練證照可是為什麼這件事情在孟加拉這麼重要部長您過去的產業經驗應該可以看得出來女性教練這件事情在孟加拉的意義跟重要性對不對
transcript.whisperx[571].start 16333.964
transcript.whisperx[571].end 16357.444
transcript.whisperx[571].text 因為它本來就是一個對女性不甚友善的國家但如果可以透過運動這件事情讓女性的主體性被看見我覺得這件事情非常重要那以無論所大使劉伯鈞他目前要積極推動這個案例部長你覺得經濟部或者是台電我們有什麼樣的角度可以積極的促進運動外交協助這些無論所大使或者是協助其他民間相關的社團
transcript.whisperx[572].start 16358.687
transcript.whisperx[572].end 16368.824
transcript.whisperx[572].text 我們都樂意來對這個運動來做推動那我想這個我們所屬的這個油煉糖水
transcript.whisperx[573].start 16369.69
transcript.whisperx[573].end 16391.569
transcript.whisperx[573].text 我們都會把他建立一些球隊我認為這個有啦球隊現在都有了啦球隊現在有但我講的是這個運動外交的部分他只有台電嘛外交也不是只有台電可以做是我們有很多的這個但我們現在現有的這個球隊的部分有沒有機會我剛以這個孟加拉這個案子為例有沒有機會在後續促成一些合作的可能性
transcript.whisperx[574].start 16392.881
transcript.whisperx[574].end 16407.402
transcript.whisperx[574].text 我們要看這個計畫啦希望達到的成果是什麼我想即使是國營的企業他對這些資助、贊助也必須要有目的有目的然後我們看到成果這個我們才繼續推動
transcript.whisperx[575].start 16408.203
transcript.whisperx[575].end 16434.578
transcript.whisperx[575].text 有目的跟有正當性我覺得這個很重要尤其它是國家的預算所以我後續有兩點我最後的建議就是除了我剛剛說的那個孩子的部分孩子活動夏天冬天的娛樂營我認為這件事情要感謝你們持續的辦理那也希望給予相關球團跟球員肯定最後一個就是運動外交的部分那至於怎麼樣讓這個經費跟預算合理的使用或者是你們可以扮演什麼樣的角色我想後續我們是不是就再來進行討論
transcript.whisperx[576].start 16436.247
transcript.whisperx[576].end 16436.267
transcript.whisperx[576].text 紅夢凱委員
transcript.whisperx[577].start 16465.949
transcript.whisperx[577].end 16489.707
transcript.whisperx[577].text 來主席麻煩請我們郭智慧部長請進入郭部長來部長委員好延續昨天在院會齁持續在跟您做請教你有受訪或者說你在答詢的時候有講到是說即便是台電今年追加千億明年再補補千億明年還是會虧損是不是
transcript.whisperx[578].start 16497.225
transcript.whisperx[578].end 16503.472
transcript.whisperx[578].text 臺電明年還是會虧損這你講的你講的不是嗎你答詢的時候你講的明年還是會虧損
transcript.whisperx[579].start 16506.038
transcript.whisperx[579].end 16525.475
transcript.whisperx[579].text 累虧沒辦法累虧沒有辦法完全來處理啦累虧目前大家都推給說是原物料上漲的部分但是這個已經是老命題了嘛我們講是說如果說我們的原物料我們的發電方式我們的結構不改變的話你再怎麼樣虧損都還再怎麼樣的補貼都還是虧損啊
transcript.whisperx[580].start 16528.197
transcript.whisperx[580].end 16553.593
transcript.whisperx[580].text 那羊毛出在羊身上一定還是所有的納稅人來買單,不是嗎?報告委員,我想從很多的數字上面來可以看得出來台電是一直在進步那造成台電虧損的大概兩個原因第一個原因就是我們的材料的成本非常的高而且這些材料的成本是從國外買進來的就國際原物料上漲嘛但原物料起起疊疊可是我們一直看到的是持續的虧損
transcript.whisperx[581].start 16555.074
transcript.whisperx[581].end 16570.471
transcript.whisperx[581].text 我們沒有因為看到說國際原物料違規到原本的價格之後我們開店就不虧損因為這個就是您剛剛所指導的這部分也就是說我們對電價對從用電物裡面收到的這個價格
transcript.whisperx[582].start 16571.972
transcript.whisperx[582].end 16589.82
transcript.whisperx[582].text 事實上沒有辦法讓我們反映,有一部分是沒有辦法反映成本。譬如說我們動漲啊,或者是對民生的這個部分,我們即使賣給,我們現在即使賣給民生的這個價格,還是虧錢。電價審議委員會到底有沒有政治利潔路?
transcript.whisperx[583].start 16595.002
transcript.whisperx[583].end 16620.342
transcript.whisperx[583].text 電價審議委員會是獨立自主的是你又講獨立自主可是你又講是說現在沒有辦法如實反映電價我覺得聽不懂你們的邏輯這個是邏輯非常正確的完全聽不懂你們的邏輯來部長我再確認一下你今天的中午有在受訪講是說你看相關的核能民調支持已經有六七成是不是是媒體問的你看哪一份民調
transcript.whisperx[584].start 16623.361
transcript.whisperx[584].end 16652.08
transcript.whisperx[584].text 媒體告訴我的啊你講是說他看郭志輝看相關核電民調支持已有六七成民主國家是多數的多數決所以核能共識這個命題不難你是看哪一份民調我就是說問那個媒體啊看哪個媒體問我呢但是你認為說核能共識在台灣有沒有多數決有沒有共識我認為台灣是一個民主的國家有沒有共識了現在
transcript.whisperx[585].start 16653.106
transcript.whisperx[585].end 16675.873
transcript.whisperx[585].text 那這個可能要再討論嘛。 現在我們在總統府 今天聯合新聞網出來的快訊講說共識決 郭部長說已經有了 而核能安全在台灣也不難 我也同意啊 因為我們有核安會啊 那剩下就是核廢料問題怎麼處理
transcript.whisperx[586].start 16677.754
transcript.whisperx[586].end 16702.352
transcript.whisperx[586].text 就是這三原則嗎?就是你現在你又改口又不敢承認你自己講了一個共識訣我們還想說說民進黨政府裡面還有一個腦袋相對比較清楚不到兩個小時你又改口了我沒有要套你的話這明明就是你自己的話啊你去看一下媒體報導好不好那你要不要更正?
transcript.whisperx[587].start 16704.857
transcript.whisperx[587].end 16712.948
transcript.whisperx[587].text 要不要要求媒體更正我還是在這裡跟委員直接報告媒體問我說六七層部長來啦最後啦
transcript.whisperx[588].start 16715.56
transcript.whisperx[588].end 16744.066
transcript.whisperx[588].text 部長真的說實在話你在擔任部長之前當董事長阿我覺得你的尷尬還比較有一點啦但是當了部長之後真的跌跌死撞死跌跌好像台灣的現況跟我們生活經濟部生活是完全是平行時空我只請教最後一點我是經濟部長我必須要發表行政院整體的運作是所以說你就是執行民進黨政府的意志嘛聽好本席的問題喔
transcript.whisperx[589].start 16745.006
transcript.whisperx[589].end 16770.533
transcript.whisperx[589].text 那現在河山廠的二號機正在稅休稅休會到什麼時候12月上旬12月上旬那12月上旬之後會不會再重新啟動發電依法還是要啟動依法還是要啟動那我們會到什麼時候來做廚藝5月5月明年的5月那從12月到明年5月這中間河山廠二號機會不會產生核廢料
transcript.whisperx[590].start 16773.53
transcript.whisperx[590].end 16789.369
transcript.whisperx[590].text 如果說運轉的話會不會當然會阿是啊那現在民進黨政府不是一直在講是說我要的三個原則和安、共識以及核廢料處理那如果說你現在沒有辦法有這個處理的方式標準的話你怎麼有辦法來重啟好 謝謝
transcript.whisperx[591].start 16791.694
transcript.whisperx[591].end 16813.101
transcript.whisperx[591].text 他是在運作的現在是不是就已經有現在是不是已經有卓榮泰院長是不是有講如果說我要研議核能或說我要用核能發電的話我要用新核能那你現在核三廠的二號機你稅收完之後你這是新核能還是舊核能核三廠二號機算是新核能還是舊核能
transcript.whisperx[592].start 16814.916
transcript.whisperx[592].end 16837.729
transcript.whisperx[592].text 核生廠2號機算是新核能還是舊核能?舊核能所以在你們的主政之下即便是現在我有這三前提但是我要用電的時候我還是要用就是要把它給用好用滿這就你的答案這不是法律規定啊這不是法律規定你也沒選擇如果說現在台灣的農業現在台灣能源夠的話你也可以不要用啊
transcript.whisperx[593].start 16838.889
transcript.whisperx[593].end 16859.759
transcript.whisperx[593].text 這重點是現在台灣能源不夠,所以你們才會連一吃一毫的電你們都要用啊,不是嗎?謝謝,因為維持每一個委員發言公平性,今天我特別給你4加4,4加3.5啦,如果說部長能夠都回答問題的話,我們不會浪費時間
transcript.whisperx[594].start 16865.429
transcript.whisperx[594].end 16866.951
transcript.whisperx[594].text 副總統請回座副總統請回座
transcript.whisperx[595].start 16889.272
transcript.whisperx[595].end 16899.469
transcript.whisperx[595].text 謝謝趙偉趙偉我們請部長跟台電董事長等董事長結束之後我們再針對自來水的部分快速來問問題
transcript.whisperx[596].start 16902.04
transcript.whisperx[596].end 16924.598
transcript.whisperx[596].text 委員好部長好董事長好董事長我們看到立法院的預算中心他的這個審查報告有提到說台電為使用或依原規定的使用之土地有計166件301筆那面積是27萬平方公尺左右那其中原定最後使用期間20年以上的土地有47件90筆那面積是4萬多平方公尺
transcript.whisperx[597].start 16925.461
transcript.whisperx[597].end 16944.642
transcript.whisperx[597].text 那在民間公司的話因為部長以前也在民間公司那應該是很快速的就會來處理這些閒置資產來去增加營業的資金那我想請教董事長說未來針對這些部分怎麼樣做有效的利用可不可以請董事長來簡單的回應我們一下那個跟委員報告
transcript.whisperx[598].start 16945.743
transcript.whisperx[598].end 16972.97
transcript.whisperx[598].text 就是在2021年的時候這一個數字其實預算中心有提過當時有129公頃現在是27公頃所以它其實改善的幅度相當的大那我也要跟委員報告就是說台電會有一些鐵台用地那零星的你剛才提到那個比數都不少加加起來就會有這一些可是我們這幾年包括變電站的新建還有電廠的新建通過環評有突破
transcript.whisperx[599].start 16974.93
transcript.whisperx[599].end 17002.623
transcript.whisperx[599].text 所以整個使用的比例就開始提升相對來講沒有使用的面積也比較少那因為他的單位是平方公尺聽起來好幾萬所以就很大那你如果一般我們在考慮就是用公頃來算的話他現在是27公頃OK好我們換算27公頃反正說你從100多公頃降到20多公頃了所以這一個幅度是有的那部長你也認同說這樣子的這個速率或未來的方向
transcript.whisperx[600].start 17003.739
transcript.whisperx[600].end 17025.409
transcript.whisperx[600].text 這個是我們統計的這個數字啦這有在下降那閒置的土地我想能夠處理我們當然會處理啦但是有一些就是說在鐵塔旁邊的這些土地啊這個就沒有辦法處理啦OK好那部長我們希望說未來可以更加有效的利用這些資產那接下來我們請這個自來水公司李董事長
transcript.whisperx[601].start 17033.342
transcript.whisperx[601].end 17052.694
transcript.whisperx[601].text 董事長好還有部長這個之前我們在這個總諮詢的時候有提到我們均衡台灣裡面我覺得最重要的一點就是水的部分那現在全國的自來水普及率大概是95%但是再加一線我們山區的自來水這還有14000多戶目前是沒有這個接管的狀況
transcript.whisperx[602].start 17053.815
transcript.whisperx[602].end 17079.06
transcript.whisperx[602].text 特別是我要舉幾個鄉鎮希望說部長也把這些鄉鎮記在腦海裡因為它是我們嘉義重要的鄉鎮也是我們全國一樣重要的景區包含大埔鄉、阿里山鄉、梅山鄉這些自來水的戶數它未接用的戶數還是高於供水戶數特別是大埔鄉我要強調它是真文水庫的所在地
transcript.whisperx[603].start 17079.62
transcript.whisperx[603].end 17095.101
transcript.whisperx[603].text 也就是說他們在水庫旁邊卻沒有辦法使用到自來水所以這是一個非常嚴肅的問題我也認為說他是在我們均衡台灣裡面來把這個城鄉差距這個消擬掉一個非常重要的一步那當然在這幾年我們看到說
transcript.whisperx[604].start 17095.962
transcript.whisperx[604].end 17125.402
transcript.whisperx[604].text 有在變化為什麼過去就是以每戶的戶數從60萬到平均費用60萬才做到80萬就可以做到現在是到100萬元就可以做我們看到說政府對於弱勢地區是有在進展但是我還是要誠懇的請這個董事長務必要把我們嘉義縣山區的這個部分納入明年無自來水的地區的沿管工程的計劃案那這邊有稍微整理一下上述的幾個鄉大埔鄉、梅山鄉、花園鄉、愛里山鄉、朱祺鄉
transcript.whisperx[605].start 17126.383
transcript.whisperx[605].end 17142.219
transcript.whisperx[605].text 這些鄉鎮都是在我國最重要的阿里山的這個相關的風景區裡面所以這些居民們儘管在山區但是他們需要受到我們一樣的關注這個部分部長跟董事長是不是可以承諾來全力的來去把這個部分來完成
transcript.whisperx[606].start 17144.429
transcript.whisperx[606].end 17161.562
transcript.whisperx[606].text 謝謝委員對於關心建在縣山區這幾個鄉鎮的用水那我們已經有調查過大概我們有提了12個案件已經報給水利署8月報給水利署希望納入5期明年能夠辦
transcript.whisperx[607].start 17162.324
transcript.whisperx[607].end 17186.748
transcript.whisperx[607].text 謝謝 謝謝董事長 董事長我特別要強調最後一點就是就是說大埔鄉在曾文水沽 看得到水 喝不到水 這有點遺憾 儘快 儘速 我們會儘快儘速來處理這件事情大埔鄉 竹崎鄉 梅山鄉 方若鄉 阿里山鄉 都在山區 那過去城鄉差距很大 那經過幾個政府的努力 我們相信可以把它 一步一步把它做好 好不好 謝謝好 謝謝陳冠廷委員 部長請回座
transcript.whisperx[608].start 17191.894
transcript.whisperx[608].end 17193.015
transcript.whisperx[608].text 委員會主席委員會主席
transcript.whisperx[609].start 17220.37
transcript.whisperx[609].end 17245.854
transcript.whisperx[609].text 麻煩請經濟部長請經濟部國務部長好 部長今天大家都非常好奇就是說為什麼你對台積電特別有興趣啊你可不可以講一下為什麼你對台積電特別有興趣對台積電有興趣因為台積電是台灣的護國神山嘛對 當然啊那你一直要去了解什麼
transcript.whisperx[610].start 17247.399
transcript.whisperx[610].end 17270.854
transcript.whisperx[610].text 你不是去熊本嗎?然後去幫忙,那是幫忙什麼事?幫忙他第一個,台積電是從台灣第一個到日本這麼大投資的公司我們當然希望他在那你做什麼具體有幫助到他的事情?幫助他?對!不然你去幹嘛?我當時瞭解他適不適應啊瞭解他適不適應,那後來你瞭解狀況怎麼樣?
transcript.whisperx[611].start 17272.182
transcript.whisperx[611].end 17278.251
transcript.whisperx[611].text 了解到事況還不錯還不錯就是還不錯其實我對日本是非常了解的我大概這一輩子工作了50年
transcript.whisperx[612].start 17280.591
transcript.whisperx[612].end 17302.042
transcript.whisperx[612].text 49年都是跟日本在在網台積電是我以前就非常熟悉的公司但是台積電過去在日本並琢磨的不深特別是在九州地區九州是一個比較保守的地區不像東京或者是明谷或者大阪是比較接觸國外比較多的
transcript.whisperx[613].start 17302.742
transcript.whisperx[613].end 17325.084
transcript.whisperx[613].text 所以在九州地區唯一接觸比較多的市貸運輔市貸運輔 那個趙薇對我很不友善大家看過了喔你就直接講你到底去看了什麼然後幫助到台積電什麼嘛因為你現在不是商人嘛你現在是部長嘛部長就是政府的職位你去協助一個護國生大家很棒可是你講一下你到底
transcript.whisperx[614].start 17326.706
transcript.whisperx[614].end 17348.244
transcript.whisperx[614].text 你不是說我去觀光我去了解然後以後回到業界之後這些知識對我有幫助我在部長累積到我未來做生意的知識這樣不行嘛對不起委員那我來跟你報告你很簡單講一下好不好好因為台積電去到日本被要求60%的材料是要從日本買的是
transcript.whisperx[615].start 17348.985
transcript.whisperx[615].end 17363.357
transcript.whisperx[615].text 但是台積電在台灣他們發展60%的材料是跟台灣買的是所以我要幫助台灣的供應鏈進入到日本現在進入不了嗎沒有進入不了但是你進去那現在成效怎麼樣你進去
transcript.whisperx[616].start 17364.966
transcript.whisperx[616].end 17384.696
transcript.whisperx[616].text 你進去然後你還不要幫助他我懂了我懂了所以你的意思是說你去不是幫助台積電阿你去是幫助台灣的供應鏈的廠商去被日本的人買嘛那現在成效怎麼樣成效還沒開始還沒開始你們都不讓我去阿喔那你去就那你設定的成效是怎麼樣
transcript.whisperx[617].start 17385.416
transcript.whisperx[617].end 17388.419
transcript.whisperx[617].text 上一次在我們院會的時候你特別請假禮拜二到禮拜五跑去熊本
transcript.whisperx[618].start 17401.149
transcript.whisperx[618].end 17418.128
transcript.whisperx[618].text 故意迴避總諮詢我沒有故意回避總諮詢為什麼那一次要特別請2到5因為2到5就可以迴避嘛你為什麼不是1到4為什麼不是假日去那你去現在問你成效如何你說因為你們不讓我去所以講不出的說意所以你一個一年要去幾次你才滿意
transcript.whisperx[619].start 17419.636
transcript.whisperx[619].end 17440.49
transcript.whisperx[619].text 答標為止答標那去幾次要去幾次嘛那要去對阿我現在覺得你是去玩的阿因為你就拿不出具體成像出來阿對不起這個委員我再跟你請我再跟你請這樣我給你因為你沒有講去都有報告去都有報告一天跑幾個行程都有報告你剛剛就講不出來我跟你講如果說
transcript.whisperx[620].start 17441.391
transcript.whisperx[620].end 17448.134
transcript.whisperx[620].text 明確答案很明確的話,部長,不是因為你從外開空開,你從盤古開開講起,我們問題都很明確,我們時間很有限,如果我今天有20分鐘,如果今天是一個談話會,我讓你慢慢講,那我們時間很有限,那我再跟你請教一下,因為美國商務部說啦,有66億美元是補助台積電在美國的,
transcript.whisperx[621].start 17463.291
transcript.whisperx[621].end 17486.002
transcript.whisperx[621].text 然後希望臺電的A16先進技術製程要在美國,您有掌握到這個事嗎?我知道那你覺得這對台灣會有什麼影響?沒有影響那是好的影響嗎?因為我剛在別的地方,你們次長講說這是好的影響當然啊為什麼?因為他還需要台灣啊所以,那會不會讓台灣的產業外移不可能啊A16的這個研發室在台灣有8000人對
transcript.whisperx[622].start 17489.191
transcript.whisperx[622].end 17491.893
transcript.whisperx[622].text 要完整的技術才有辦法移轉過去阿好 謝謝部長請回座
transcript.whisperx[623].start 17533.586
transcript.whisperx[623].end 17545.035
transcript.whisperx[623].text 這個主席主持會議不管是哪個政黨不管是誰我都是一樣的標準剛正不惡絕對不會對特定人不友善
transcript.whisperx[624].start 17546.186
transcript.whisperx[624].end 17573.751
transcript.whisperx[624].text 那我在講說的時候在這邊要說一些正經話不要說太多淘氣話這樣畢竟這是國會殿堂好登記發言委員除不在場之外其餘基因發言完畢詢答結束委員林德福所提書面質詢列入紀錄刊登公報書面質詢及未及答案部分請相關單位於一周內以書面答問並複製本會
transcript.whisperx[625].start 17575.612
transcript.whisperx[625].end 17604.654
transcript.whisperx[625].text 各位同仁,針對台灣電力股份有限公司、台灣自來水股份有限公司預算案,如有修正動議或相關提案,請於11月26日下午10點以前,送經濟委員會辦公室,以立後續會診,欲時不在所案。本日所列討論事項,詢答結束,並定期繼續審查。現在三位,祝大家有個美好的一天。
transcript.whisperx[626].start 17607.988
transcript.whisperx[626].end 17608.169
transcript.whisperx[626].text 主席
transcript.whisperx[627].start 17639.717
transcript.whisperx[627].end 17640.058
transcript.whisperx[627].text 委員會主席
transcript.whisperx[628].start 17670.304
transcript.whisperx[628].end 17671.247
transcript.whisperx[628].text 委員會主席
IVOD_ID 16285
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16285
日期 2024-11-20
會議資料.會議代碼 委員會-11-2-19-15
會議資料.屆 11
會議資料.會期 2
會議資料.會次 15
會議資料.種類 委員會
會議資料.委員會代碼[0] 19
會議資料.標題 第11屆第2會期經濟委員會第15次全體委員會議
影片種類 Full
開始時間 2024-11-20T08:31:34+08:00
結束時間 2024-11-20T13:30:00+08:00
支援功能[0] ai-transcript