iVOD / 16821

Field Value
IVOD_ID 16821
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16821
日期 2025-07-17
影片種類 Full
開始時間 2025-07-17T08:50:01+08:00
結束時間 2025-07-17T11:46:00+08:00
影片長度 02:55:59
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/b41997f390c3528eb29573f7f40ddb36831a2cf93fac92ad80a0af5ed963d0f5b75b2799b3b0c86a5ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-07-17T09:20:00+08:00
會議名稱 立法院第11屆第3會期財政委員會第6次公聽會(事由:召開「臺美政府對等關稅協商我國政府因應對策」公聽會)
委員名稱 完整會議
委員發言時間 08:50:01 - 11:46:00
transcript.pyannote[0].speaker SPEAKER_18
transcript.pyannote[0].start 98.20971875
transcript.pyannote[0].end 99.52596875
transcript.pyannote[1].speaker SPEAKER_20
transcript.pyannote[1].start 1803.17534375
transcript.pyannote[1].end 1805.01471875
transcript.pyannote[2].speaker SPEAKER_20
transcript.pyannote[2].start 1805.55471875
transcript.pyannote[2].end 1808.69346875
transcript.pyannote[3].speaker SPEAKER_20
transcript.pyannote[3].start 1809.79034375
transcript.pyannote[3].end 1810.39784375
transcript.pyannote[4].speaker SPEAKER_20
transcript.pyannote[4].start 1811.59596875
transcript.pyannote[4].end 1812.30471875
transcript.pyannote[5].speaker SPEAKER_20
transcript.pyannote[5].start 1813.95846875
transcript.pyannote[5].end 1814.48159375
transcript.pyannote[6].speaker SPEAKER_20
transcript.pyannote[6].start 1814.92034375
transcript.pyannote[6].end 1817.75534375
transcript.pyannote[7].speaker SPEAKER_20
transcript.pyannote[7].start 1818.12659375
transcript.pyannote[7].end 1819.69596875
transcript.pyannote[8].speaker SPEAKER_20
transcript.pyannote[8].start 1820.13471875
transcript.pyannote[8].end 1820.91096875
transcript.pyannote[9].speaker SPEAKER_20
transcript.pyannote[9].start 1821.31596875
transcript.pyannote[9].end 1821.77159375
transcript.pyannote[10].speaker SPEAKER_20
transcript.pyannote[10].start 1822.05846875
transcript.pyannote[10].end 1823.40846875
transcript.pyannote[11].speaker SPEAKER_20
transcript.pyannote[11].start 1823.88096875
transcript.pyannote[11].end 1826.17596875
transcript.pyannote[12].speaker SPEAKER_20
transcript.pyannote[12].start 1826.46284375
transcript.pyannote[12].end 1827.54284375
transcript.pyannote[13].speaker SPEAKER_20
transcript.pyannote[13].start 1828.42034375
transcript.pyannote[13].end 1828.96034375
transcript.pyannote[14].speaker SPEAKER_20
transcript.pyannote[14].start 1829.53409375
transcript.pyannote[14].end 1830.20909375
transcript.pyannote[15].speaker SPEAKER_20
transcript.pyannote[15].start 1831.52534375
transcript.pyannote[15].end 1833.04409375
transcript.pyannote[16].speaker SPEAKER_20
transcript.pyannote[16].start 1833.29721875
transcript.pyannote[16].end 1834.15784375
transcript.pyannote[17].speaker SPEAKER_20
transcript.pyannote[17].start 1834.46159375
transcript.pyannote[17].end 1834.86659375
transcript.pyannote[18].speaker SPEAKER_20
transcript.pyannote[18].start 1835.57534375
transcript.pyannote[18].end 1836.85784375
transcript.pyannote[19].speaker SPEAKER_20
transcript.pyannote[19].start 1838.64659375
transcript.pyannote[19].end 1840.48596875
transcript.pyannote[20].speaker SPEAKER_20
transcript.pyannote[20].start 1841.16096875
transcript.pyannote[20].end 1842.56159375
transcript.pyannote[21].speaker SPEAKER_20
transcript.pyannote[21].start 1843.03409375
transcript.pyannote[21].end 1843.79346875
transcript.pyannote[22].speaker SPEAKER_20
transcript.pyannote[22].start 1844.56971875
transcript.pyannote[22].end 1845.61596875
transcript.pyannote[23].speaker SPEAKER_20
transcript.pyannote[23].start 1846.57784375
transcript.pyannote[23].end 1847.53971875
transcript.pyannote[24].speaker SPEAKER_20
transcript.pyannote[24].start 1847.65784375
transcript.pyannote[24].end 1848.26534375
transcript.pyannote[25].speaker SPEAKER_20
transcript.pyannote[25].start 1848.53534375
transcript.pyannote[25].end 1849.36221875
transcript.pyannote[26].speaker SPEAKER_20
transcript.pyannote[26].start 1850.30721875
transcript.pyannote[26].end 1851.45471875
transcript.pyannote[27].speaker SPEAKER_20
transcript.pyannote[27].start 1852.48409375
transcript.pyannote[27].end 1854.27284375
transcript.pyannote[28].speaker SPEAKER_20
transcript.pyannote[28].start 1855.03221875
transcript.pyannote[28].end 1855.69034375
transcript.pyannote[29].speaker SPEAKER_20
transcript.pyannote[29].start 1856.39909375
transcript.pyannote[29].end 1858.59284375
transcript.pyannote[30].speaker SPEAKER_20
transcript.pyannote[30].start 1859.41971875
transcript.pyannote[30].end 1860.46596875
transcript.pyannote[31].speaker SPEAKER_20
transcript.pyannote[31].start 1860.83721875
transcript.pyannote[31].end 1863.18284375
transcript.pyannote[32].speaker SPEAKER_20
transcript.pyannote[32].start 1864.56659375
transcript.pyannote[32].end 1866.87846875
transcript.pyannote[33].speaker SPEAKER_20
transcript.pyannote[33].start 1867.23284375
transcript.pyannote[33].end 1869.37596875
transcript.pyannote[34].speaker SPEAKER_20
transcript.pyannote[34].start 1870.21971875
transcript.pyannote[34].end 1872.53159375
transcript.pyannote[35].speaker SPEAKER_20
transcript.pyannote[35].start 1872.95346875
transcript.pyannote[35].end 1873.78034375
transcript.pyannote[36].speaker SPEAKER_20
transcript.pyannote[36].start 1874.01659375
transcript.pyannote[36].end 1874.80971875
transcript.pyannote[37].speaker SPEAKER_20
transcript.pyannote[37].start 1875.38346875
transcript.pyannote[37].end 1875.99096875
transcript.pyannote[38].speaker SPEAKER_20
transcript.pyannote[38].start 1876.96971875
transcript.pyannote[38].end 1878.55596875
transcript.pyannote[39].speaker SPEAKER_20
transcript.pyannote[39].start 1879.12971875
transcript.pyannote[39].end 1880.24346875
transcript.pyannote[40].speaker SPEAKER_20
transcript.pyannote[40].start 1880.98596875
transcript.pyannote[40].end 1881.94784375
transcript.pyannote[41].speaker SPEAKER_20
transcript.pyannote[41].start 1882.20096875
transcript.pyannote[41].end 1884.90096875
transcript.pyannote[42].speaker SPEAKER_20
transcript.pyannote[42].start 1886.74034375
transcript.pyannote[42].end 1887.56721875
transcript.pyannote[43].speaker SPEAKER_20
transcript.pyannote[43].start 1888.54596875
transcript.pyannote[43].end 1889.28846875
transcript.pyannote[44].speaker SPEAKER_20
transcript.pyannote[44].start 1889.71034375
transcript.pyannote[44].end 1891.33034375
transcript.pyannote[45].speaker SPEAKER_20
transcript.pyannote[45].start 1892.79846875
transcript.pyannote[45].end 1893.16971875
transcript.pyannote[46].speaker SPEAKER_20
transcript.pyannote[46].start 1893.27096875
transcript.pyannote[46].end 1896.22409375
transcript.pyannote[47].speaker SPEAKER_20
transcript.pyannote[47].start 1897.10159375
transcript.pyannote[47].end 1898.26596875
transcript.pyannote[48].speaker SPEAKER_20
transcript.pyannote[48].start 1898.89034375
transcript.pyannote[48].end 1900.84784375
transcript.pyannote[49].speaker SPEAKER_20
transcript.pyannote[49].start 1901.55659375
transcript.pyannote[49].end 1902.45096875
transcript.pyannote[50].speaker SPEAKER_20
transcript.pyannote[50].start 1903.86846875
transcript.pyannote[50].end 1905.79221875
transcript.pyannote[51].speaker SPEAKER_20
transcript.pyannote[51].start 1906.51784375
transcript.pyannote[51].end 1906.92284375
transcript.pyannote[52].speaker SPEAKER_20
transcript.pyannote[52].start 1907.31096875
transcript.pyannote[52].end 1907.90159375
transcript.pyannote[53].speaker SPEAKER_20
transcript.pyannote[53].start 1908.30659375
transcript.pyannote[53].end 1908.96471875
transcript.pyannote[54].speaker SPEAKER_20
transcript.pyannote[54].start 1909.92659375
transcript.pyannote[54].end 1910.71971875
transcript.pyannote[55].speaker SPEAKER_20
transcript.pyannote[55].start 1912.44096875
transcript.pyannote[55].end 1914.53346875
transcript.pyannote[56].speaker SPEAKER_20
transcript.pyannote[56].start 1915.51221875
transcript.pyannote[56].end 1916.42346875
transcript.pyannote[57].speaker SPEAKER_20
transcript.pyannote[57].start 1917.13221875
transcript.pyannote[57].end 1920.40596875
transcript.pyannote[58].speaker SPEAKER_20
transcript.pyannote[58].start 1920.82784375
transcript.pyannote[58].end 1923.79784375
transcript.pyannote[59].speaker SPEAKER_20
transcript.pyannote[59].start 1924.33784375
transcript.pyannote[59].end 1926.39659375
transcript.pyannote[60].speaker SPEAKER_20
transcript.pyannote[60].start 1926.93659375
transcript.pyannote[60].end 1928.45534375
transcript.pyannote[61].speaker SPEAKER_20
transcript.pyannote[61].start 1928.96159375
transcript.pyannote[61].end 1930.46346875
transcript.pyannote[62].speaker SPEAKER_20
transcript.pyannote[62].start 1930.95284375
transcript.pyannote[62].end 1932.67409375
transcript.pyannote[63].speaker SPEAKER_20
transcript.pyannote[63].start 1933.23096875
transcript.pyannote[63].end 1933.65284375
transcript.pyannote[64].speaker SPEAKER_20
transcript.pyannote[64].start 1933.92284375
transcript.pyannote[64].end 1934.44596875
transcript.pyannote[65].speaker SPEAKER_20
transcript.pyannote[65].start 1934.90159375
transcript.pyannote[65].end 1936.11659375
transcript.pyannote[66].speaker SPEAKER_20
transcript.pyannote[66].start 1936.50471875
transcript.pyannote[66].end 1937.56784375
transcript.pyannote[67].speaker SPEAKER_20
transcript.pyannote[67].start 1938.02346875
transcript.pyannote[67].end 1940.45346875
transcript.pyannote[68].speaker SPEAKER_20
transcript.pyannote[68].start 1940.82471875
transcript.pyannote[68].end 1943.92971875
transcript.pyannote[69].speaker SPEAKER_20
transcript.pyannote[69].start 1944.08159375
transcript.pyannote[69].end 1947.42284375
transcript.pyannote[70].speaker SPEAKER_20
transcript.pyannote[70].start 1948.03034375
transcript.pyannote[70].end 1949.43096875
transcript.pyannote[71].speaker SPEAKER_20
transcript.pyannote[71].start 1949.66721875
transcript.pyannote[71].end 1950.47721875
transcript.pyannote[72].speaker SPEAKER_20
transcript.pyannote[72].start 1950.86534375
transcript.pyannote[72].end 1953.48096875
transcript.pyannote[73].speaker SPEAKER_20
transcript.pyannote[73].start 1954.98284375
transcript.pyannote[73].end 1955.40471875
transcript.pyannote[74].speaker SPEAKER_20
transcript.pyannote[74].start 1955.79284375
transcript.pyannote[74].end 1956.53534375
transcript.pyannote[75].speaker SPEAKER_20
transcript.pyannote[75].start 1957.26096875
transcript.pyannote[75].end 1960.11284375
transcript.pyannote[76].speaker SPEAKER_20
transcript.pyannote[76].start 1960.45034375
transcript.pyannote[76].end 1961.19284375
transcript.pyannote[77].speaker SPEAKER_20
transcript.pyannote[77].start 1962.08721875
transcript.pyannote[77].end 1962.79596875
transcript.pyannote[78].speaker SPEAKER_20
transcript.pyannote[78].start 1963.77471875
transcript.pyannote[78].end 1965.24284375
transcript.pyannote[79].speaker SPEAKER_20
transcript.pyannote[79].start 1965.83346875
transcript.pyannote[79].end 1968.51659375
transcript.pyannote[80].speaker SPEAKER_20
transcript.pyannote[80].start 1969.03971875
transcript.pyannote[80].end 1969.46159375
transcript.pyannote[81].speaker SPEAKER_20
transcript.pyannote[81].start 1969.96784375
transcript.pyannote[81].end 1970.38971875
transcript.pyannote[82].speaker SPEAKER_20
transcript.pyannote[82].start 1971.31784375
transcript.pyannote[82].end 1972.06034375
transcript.pyannote[83].speaker SPEAKER_20
transcript.pyannote[83].start 1972.75221875
transcript.pyannote[83].end 1974.11909375
transcript.pyannote[84].speaker SPEAKER_20
transcript.pyannote[84].start 1974.81096875
transcript.pyannote[84].end 1976.44784375
transcript.pyannote[85].speaker SPEAKER_20
transcript.pyannote[85].start 1976.92034375
transcript.pyannote[85].end 1978.62471875
transcript.pyannote[86].speaker SPEAKER_20
transcript.pyannote[86].start 1979.24909375
transcript.pyannote[86].end 1979.65409375
transcript.pyannote[87].speaker SPEAKER_20
transcript.pyannote[87].start 1980.07596875
transcript.pyannote[87].end 1980.58221875
transcript.pyannote[88].speaker SPEAKER_20
transcript.pyannote[88].start 1980.97034375
transcript.pyannote[88].end 1983.45096875
transcript.pyannote[89].speaker SPEAKER_20
transcript.pyannote[89].start 1984.42971875
transcript.pyannote[89].end 1985.13846875
transcript.pyannote[90].speaker SPEAKER_20
transcript.pyannote[90].start 1985.59409375
transcript.pyannote[90].end 1985.98221875
transcript.pyannote[91].speaker SPEAKER_20
transcript.pyannote[91].start 1986.35346875
transcript.pyannote[91].end 1988.27721875
transcript.pyannote[92].speaker SPEAKER_20
transcript.pyannote[92].start 1988.81721875
transcript.pyannote[92].end 1990.18409375
transcript.pyannote[93].speaker SPEAKER_20
transcript.pyannote[93].start 1990.50471875
transcript.pyannote[93].end 1991.56784375
transcript.pyannote[94].speaker SPEAKER_20
transcript.pyannote[94].start 1992.07409375
transcript.pyannote[94].end 1992.88409375
transcript.pyannote[95].speaker SPEAKER_20
transcript.pyannote[95].start 1993.22159375
transcript.pyannote[95].end 1994.65596875
transcript.pyannote[96].speaker SPEAKER_20
transcript.pyannote[96].start 1995.01034375
transcript.pyannote[96].end 1996.22534375
transcript.pyannote[97].speaker SPEAKER_20
transcript.pyannote[97].start 1996.49534375
transcript.pyannote[97].end 1999.02659375
transcript.pyannote[98].speaker SPEAKER_20
transcript.pyannote[98].start 1999.24596875
transcript.pyannote[98].end 2000.52846875
transcript.pyannote[99].speaker SPEAKER_20
transcript.pyannote[99].start 2000.83221875
transcript.pyannote[99].end 2001.79409375
transcript.pyannote[100].speaker SPEAKER_20
transcript.pyannote[100].start 2002.40159375
transcript.pyannote[100].end 2003.92034375
transcript.pyannote[101].speaker SPEAKER_20
transcript.pyannote[101].start 2004.34221875
transcript.pyannote[101].end 2006.31659375
transcript.pyannote[102].speaker SPEAKER_20
transcript.pyannote[102].start 2006.50221875
transcript.pyannote[102].end 2008.57784375
transcript.pyannote[103].speaker SPEAKER_20
transcript.pyannote[103].start 2008.61159375
transcript.pyannote[103].end 2010.83909375
transcript.pyannote[104].speaker SPEAKER_20
transcript.pyannote[104].start 2011.44659375
transcript.pyannote[104].end 2013.55596875
transcript.pyannote[105].speaker SPEAKER_20
transcript.pyannote[105].start 2013.92721875
transcript.pyannote[105].end 2014.45034375
transcript.pyannote[106].speaker SPEAKER_20
transcript.pyannote[106].start 2014.51784375
transcript.pyannote[106].end 2016.77909375
transcript.pyannote[107].speaker SPEAKER_20
transcript.pyannote[107].start 2019.88409375
transcript.pyannote[107].end 2021.62221875
transcript.pyannote[108].speaker SPEAKER_20
transcript.pyannote[108].start 2022.97221875
transcript.pyannote[108].end 2023.52909375
transcript.pyannote[109].speaker SPEAKER_20
transcript.pyannote[109].start 2023.73159375
transcript.pyannote[109].end 2025.99284375
transcript.pyannote[110].speaker SPEAKER_20
transcript.pyannote[110].start 2026.39784375
transcript.pyannote[110].end 2030.16096875
transcript.pyannote[111].speaker SPEAKER_20
transcript.pyannote[111].start 2030.66721875
transcript.pyannote[111].end 2032.38846875
transcript.pyannote[112].speaker SPEAKER_20
transcript.pyannote[112].start 2032.42221875
transcript.pyannote[112].end 2033.65409375
transcript.pyannote[113].speaker SPEAKER_20
transcript.pyannote[113].start 2036.18534375
transcript.pyannote[113].end 2038.64909375
transcript.pyannote[114].speaker SPEAKER_20
transcript.pyannote[114].start 2039.40846875
transcript.pyannote[114].end 2040.55596875
transcript.pyannote[115].speaker SPEAKER_20
transcript.pyannote[115].start 2046.17534375
transcript.pyannote[115].end 2049.83721875
transcript.pyannote[116].speaker SPEAKER_20
transcript.pyannote[116].start 2050.93409375
transcript.pyannote[116].end 2052.01409375
transcript.pyannote[117].speaker SPEAKER_20
transcript.pyannote[117].start 2053.17846875
transcript.pyannote[117].end 2057.76846875
transcript.pyannote[118].speaker SPEAKER_20
transcript.pyannote[118].start 2060.02971875
transcript.pyannote[118].end 2061.95346875
transcript.pyannote[119].speaker SPEAKER_20
transcript.pyannote[119].start 2062.00409375
transcript.pyannote[119].end 2063.74221875
transcript.pyannote[120].speaker SPEAKER_20
transcript.pyannote[120].start 2064.11346875
transcript.pyannote[120].end 2064.95721875
transcript.pyannote[121].speaker SPEAKER_20
transcript.pyannote[121].start 2068.09596875
transcript.pyannote[121].end 2068.36596875
transcript.pyannote[122].speaker SPEAKER_20
transcript.pyannote[122].start 2070.98159375
transcript.pyannote[122].end 2072.71971875
transcript.pyannote[123].speaker SPEAKER_20
transcript.pyannote[123].start 2072.88846875
transcript.pyannote[123].end 2074.18784375
transcript.pyannote[124].speaker SPEAKER_20
transcript.pyannote[124].start 2078.17034375
transcript.pyannote[124].end 2080.68471875
transcript.pyannote[125].speaker SPEAKER_20
transcript.pyannote[125].start 2081.00534375
transcript.pyannote[125].end 2083.51971875
transcript.pyannote[126].speaker SPEAKER_20
transcript.pyannote[126].start 2083.85721875
transcript.pyannote[126].end 2085.29159375
transcript.pyannote[127].speaker SPEAKER_20
transcript.pyannote[127].start 2087.90721875
transcript.pyannote[127].end 2088.80159375
transcript.pyannote[128].speaker SPEAKER_20
transcript.pyannote[128].start 2089.25721875
transcript.pyannote[128].end 2091.11346875
transcript.pyannote[129].speaker SPEAKER_20
transcript.pyannote[129].start 2094.20159375
transcript.pyannote[129].end 2097.03659375
transcript.pyannote[130].speaker SPEAKER_20
transcript.pyannote[130].start 2097.40784375
transcript.pyannote[130].end 2098.20096875
transcript.pyannote[131].speaker SPEAKER_20
transcript.pyannote[131].start 2098.38659375
transcript.pyannote[131].end 2099.77034375
transcript.pyannote[132].speaker SPEAKER_20
transcript.pyannote[132].start 2099.97284375
transcript.pyannote[132].end 2100.63096875
transcript.pyannote[133].speaker SPEAKER_20
transcript.pyannote[133].start 2101.89659375
transcript.pyannote[133].end 2104.07346875
transcript.pyannote[134].speaker SPEAKER_20
transcript.pyannote[134].start 2104.34346875
transcript.pyannote[134].end 2105.17034375
transcript.pyannote[135].speaker SPEAKER_20
transcript.pyannote[135].start 2107.14471875
transcript.pyannote[135].end 2108.34284375
transcript.pyannote[136].speaker SPEAKER_20
transcript.pyannote[136].start 2108.81534375
transcript.pyannote[136].end 2109.82784375
transcript.pyannote[137].speaker SPEAKER_20
transcript.pyannote[137].start 2110.13159375
transcript.pyannote[137].end 2110.53659375
transcript.pyannote[138].speaker SPEAKER_20
transcript.pyannote[138].start 2111.88659375
transcript.pyannote[138].end 2115.02534375
transcript.pyannote[139].speaker SPEAKER_20
transcript.pyannote[139].start 2115.73409375
transcript.pyannote[139].end 2117.57346875
transcript.pyannote[140].speaker SPEAKER_20
transcript.pyannote[140].start 2118.29909375
transcript.pyannote[140].end 2120.57721875
transcript.pyannote[141].speaker SPEAKER_20
transcript.pyannote[141].start 2122.06221875
transcript.pyannote[141].end 2122.72034375
transcript.pyannote[142].speaker SPEAKER_20
transcript.pyannote[142].start 2123.34471875
transcript.pyannote[142].end 2124.34034375
transcript.pyannote[143].speaker SPEAKER_20
transcript.pyannote[143].start 2124.66096875
transcript.pyannote[143].end 2125.26846875
transcript.pyannote[144].speaker SPEAKER_20
transcript.pyannote[144].start 2127.00659375
transcript.pyannote[144].end 2127.93471875
transcript.pyannote[145].speaker SPEAKER_20
transcript.pyannote[145].start 2129.72346875
transcript.pyannote[145].end 2132.06909375
transcript.pyannote[146].speaker SPEAKER_20
transcript.pyannote[146].start 2133.26721875
transcript.pyannote[146].end 2133.62159375
transcript.pyannote[147].speaker SPEAKER_20
transcript.pyannote[147].start 2134.00971875
transcript.pyannote[147].end 2135.56221875
transcript.pyannote[148].speaker SPEAKER_20
transcript.pyannote[148].start 2135.79846875
transcript.pyannote[148].end 2136.84471875
transcript.pyannote[149].speaker SPEAKER_20
transcript.pyannote[149].start 2137.24971875
transcript.pyannote[149].end 2138.31284375
transcript.pyannote[150].speaker SPEAKER_20
transcript.pyannote[150].start 2140.01721875
transcript.pyannote[150].end 2142.48096875
transcript.pyannote[151].speaker SPEAKER_20
transcript.pyannote[151].start 2143.12221875
transcript.pyannote[151].end 2144.69159375
transcript.pyannote[152].speaker SPEAKER_20
transcript.pyannote[152].start 2145.11346875
transcript.pyannote[152].end 2147.03721875
transcript.pyannote[153].speaker SPEAKER_20
transcript.pyannote[153].start 2147.47596875
transcript.pyannote[153].end 2149.45034375
transcript.pyannote[154].speaker SPEAKER_20
transcript.pyannote[154].start 2149.88909375
transcript.pyannote[154].end 2151.74534375
transcript.pyannote[155].speaker SPEAKER_20
transcript.pyannote[155].start 2152.72409375
transcript.pyannote[155].end 2155.69409375
transcript.pyannote[156].speaker SPEAKER_20
transcript.pyannote[156].start 2155.99784375
transcript.pyannote[156].end 2156.74034375
transcript.pyannote[157].speaker SPEAKER_20
transcript.pyannote[157].start 2158.37721875
transcript.pyannote[157].end 2159.20409375
transcript.pyannote[158].speaker SPEAKER_20
transcript.pyannote[158].start 2159.79471875
transcript.pyannote[158].end 2161.06034375
transcript.pyannote[159].speaker SPEAKER_20
transcript.pyannote[159].start 2161.24596875
transcript.pyannote[159].end 2161.98846875
transcript.pyannote[160].speaker SPEAKER_20
transcript.pyannote[160].start 2163.13596875
transcript.pyannote[160].end 2165.43096875
transcript.pyannote[161].speaker SPEAKER_20
transcript.pyannote[161].start 2167.00034375
transcript.pyannote[161].end 2169.19409375
transcript.pyannote[162].speaker SPEAKER_20
transcript.pyannote[162].start 2170.27409375
transcript.pyannote[162].end 2172.75471875
transcript.pyannote[163].speaker SPEAKER_20
transcript.pyannote[163].start 2173.88534375
transcript.pyannote[163].end 2176.46721875
transcript.pyannote[164].speaker SPEAKER_20
transcript.pyannote[164].start 2177.36159375
transcript.pyannote[164].end 2178.94784375
transcript.pyannote[165].speaker SPEAKER_20
transcript.pyannote[165].start 2180.09534375
transcript.pyannote[165].end 2181.32721875
transcript.pyannote[166].speaker SPEAKER_20
transcript.pyannote[166].start 2181.56346875
transcript.pyannote[166].end 2183.79096875
transcript.pyannote[167].speaker SPEAKER_20
transcript.pyannote[167].start 2184.07784375
transcript.pyannote[167].end 2185.47846875
transcript.pyannote[168].speaker SPEAKER_20
transcript.pyannote[168].start 2185.71471875
transcript.pyannote[168].end 2188.51596875
transcript.pyannote[169].speaker SPEAKER_20
transcript.pyannote[169].start 2189.32596875
transcript.pyannote[169].end 2191.68846875
transcript.pyannote[170].speaker SPEAKER_20
transcript.pyannote[170].start 2193.19034375
transcript.pyannote[170].end 2195.18159375
transcript.pyannote[171].speaker SPEAKER_20
transcript.pyannote[171].start 2195.36721875
transcript.pyannote[171].end 2197.99971875
transcript.pyannote[172].speaker SPEAKER_20
transcript.pyannote[172].start 2198.23596875
transcript.pyannote[172].end 2200.98659375
transcript.pyannote[173].speaker SPEAKER_20
transcript.pyannote[173].start 2201.30721875
transcript.pyannote[173].end 2203.75409375
transcript.pyannote[174].speaker SPEAKER_20
transcript.pyannote[174].start 2204.31096875
transcript.pyannote[174].end 2208.05721875
transcript.pyannote[175].speaker SPEAKER_20
transcript.pyannote[175].start 2208.20909375
transcript.pyannote[175].end 2210.31846875
transcript.pyannote[176].speaker SPEAKER_20
transcript.pyannote[176].start 2210.70659375
transcript.pyannote[176].end 2211.19596875
transcript.pyannote[177].speaker SPEAKER_20
transcript.pyannote[177].start 2211.21284375
transcript.pyannote[177].end 2212.63034375
transcript.pyannote[178].speaker SPEAKER_20
transcript.pyannote[178].start 2213.01846875
transcript.pyannote[178].end 2213.52471875
transcript.pyannote[179].speaker SPEAKER_20
transcript.pyannote[179].start 2214.40221875
transcript.pyannote[179].end 2215.11096875
transcript.pyannote[180].speaker SPEAKER_20
transcript.pyannote[180].start 2215.68471875
transcript.pyannote[180].end 2217.64221875
transcript.pyannote[181].speaker SPEAKER_20
transcript.pyannote[181].start 2218.48596875
transcript.pyannote[181].end 2218.87409375
transcript.pyannote[182].speaker SPEAKER_20
transcript.pyannote[182].start 2220.24096875
transcript.pyannote[182].end 2221.00034375
transcript.pyannote[183].speaker SPEAKER_20
transcript.pyannote[183].start 2221.69221875
transcript.pyannote[183].end 2224.51034375
transcript.pyannote[184].speaker SPEAKER_20
transcript.pyannote[184].start 2224.93221875
transcript.pyannote[184].end 2227.07534375
transcript.pyannote[185].speaker SPEAKER_20
transcript.pyannote[185].start 2227.27784375
transcript.pyannote[185].end 2230.33221875
transcript.pyannote[186].speaker SPEAKER_20
transcript.pyannote[186].start 2230.80471875
transcript.pyannote[186].end 2232.81284375
transcript.pyannote[187].speaker SPEAKER_20
transcript.pyannote[187].start 2232.99846875
transcript.pyannote[187].end 2235.32721875
transcript.pyannote[188].speaker SPEAKER_20
transcript.pyannote[188].start 2235.95159375
transcript.pyannote[188].end 2236.27221875
transcript.pyannote[189].speaker SPEAKER_20
transcript.pyannote[189].start 2237.25096875
transcript.pyannote[189].end 2239.54596875
transcript.pyannote[190].speaker SPEAKER_20
transcript.pyannote[190].start 2239.79909375
transcript.pyannote[190].end 2241.33471875
transcript.pyannote[191].speaker SPEAKER_20
transcript.pyannote[191].start 2241.53721875
transcript.pyannote[191].end 2242.19534375
transcript.pyannote[192].speaker SPEAKER_20
transcript.pyannote[192].start 2242.44846875
transcript.pyannote[192].end 2243.37659375
transcript.pyannote[193].speaker SPEAKER_11
transcript.pyannote[193].start 2261.07846875
transcript.pyannote[193].end 2268.94221875
transcript.pyannote[194].speaker SPEAKER_11
transcript.pyannote[194].start 2269.29659375
transcript.pyannote[194].end 2274.34221875
transcript.pyannote[195].speaker SPEAKER_11
transcript.pyannote[195].start 2274.49409375
transcript.pyannote[195].end 2282.44221875
transcript.pyannote[196].speaker SPEAKER_11
transcript.pyannote[196].start 2282.79659375
transcript.pyannote[196].end 2302.32096875
transcript.pyannote[197].speaker SPEAKER_11
transcript.pyannote[197].start 2302.55721875
transcript.pyannote[197].end 2317.37346875
transcript.pyannote[198].speaker SPEAKER_11
transcript.pyannote[198].start 2317.54221875
transcript.pyannote[198].end 2375.44034375
transcript.pyannote[199].speaker SPEAKER_11
transcript.pyannote[199].start 2376.36846875
transcript.pyannote[199].end 2380.31721875
transcript.pyannote[200].speaker SPEAKER_11
transcript.pyannote[200].start 2380.63784375
transcript.pyannote[200].end 2480.38596875
transcript.pyannote[201].speaker SPEAKER_11
transcript.pyannote[201].start 2480.97659375
transcript.pyannote[201].end 2508.78659375
transcript.pyannote[202].speaker SPEAKER_11
transcript.pyannote[202].start 2509.41096875
transcript.pyannote[202].end 2679.66284375
transcript.pyannote[203].speaker SPEAKER_11
transcript.pyannote[203].start 2679.73034375
transcript.pyannote[203].end 2681.80596875
transcript.pyannote[204].speaker SPEAKER_11
transcript.pyannote[204].start 2682.44721875
transcript.pyannote[204].end 2733.52784375
transcript.pyannote[205].speaker SPEAKER_19
transcript.pyannote[205].start 2734.64159375
transcript.pyannote[205].end 2737.22346875
transcript.pyannote[206].speaker SPEAKER_19
transcript.pyannote[206].start 2743.28159375
transcript.pyannote[206].end 2748.20909375
transcript.pyannote[207].speaker SPEAKER_19
transcript.pyannote[207].start 2751.11159375
transcript.pyannote[207].end 2751.78659375
transcript.pyannote[208].speaker SPEAKER_19
transcript.pyannote[208].start 2751.95534375
transcript.pyannote[208].end 2752.81596875
transcript.pyannote[209].speaker SPEAKER_19
transcript.pyannote[209].start 2753.49096875
transcript.pyannote[209].end 2757.00096875
transcript.pyannote[210].speaker SPEAKER_20
transcript.pyannote[210].start 2766.75471875
transcript.pyannote[210].end 2768.74596875
transcript.pyannote[211].speaker SPEAKER_20
transcript.pyannote[211].start 2769.50534375
transcript.pyannote[211].end 2771.07471875
transcript.pyannote[212].speaker SPEAKER_20
transcript.pyannote[212].start 2771.42909375
transcript.pyannote[212].end 2772.00284375
transcript.pyannote[213].speaker SPEAKER_20
transcript.pyannote[213].start 2772.76221875
transcript.pyannote[213].end 2773.79159375
transcript.pyannote[214].speaker SPEAKER_20
transcript.pyannote[214].start 2774.21346875
transcript.pyannote[214].end 2775.29346875
transcript.pyannote[215].speaker SPEAKER_20
transcript.pyannote[215].start 2775.34409375
transcript.pyannote[215].end 2776.27221875
transcript.pyannote[216].speaker SPEAKER_20
transcript.pyannote[216].start 2776.76159375
transcript.pyannote[216].end 2777.57159375
transcript.pyannote[217].speaker SPEAKER_20
transcript.pyannote[217].start 2778.02721875
transcript.pyannote[217].end 2779.05659375
transcript.pyannote[218].speaker SPEAKER_20
transcript.pyannote[218].start 2779.59659375
transcript.pyannote[218].end 2780.94659375
transcript.pyannote[219].speaker SPEAKER_20
transcript.pyannote[219].start 2781.21659375
transcript.pyannote[219].end 2782.34721875
transcript.pyannote[220].speaker SPEAKER_20
transcript.pyannote[220].start 2782.49909375
transcript.pyannote[220].end 2784.06846875
transcript.pyannote[221].speaker SPEAKER_20
transcript.pyannote[221].start 2784.86159375
transcript.pyannote[221].end 2786.24534375
transcript.pyannote[222].speaker SPEAKER_20
transcript.pyannote[222].start 2787.08909375
transcript.pyannote[222].end 2789.04659375
transcript.pyannote[223].speaker SPEAKER_20
transcript.pyannote[223].start 2790.83534375
transcript.pyannote[223].end 2793.53534375
transcript.pyannote[224].speaker SPEAKER_20
transcript.pyannote[224].start 2794.27784375
transcript.pyannote[224].end 2794.78409375
transcript.pyannote[225].speaker SPEAKER_20
transcript.pyannote[225].start 2795.59409375
transcript.pyannote[225].end 2798.39534375
transcript.pyannote[226].speaker SPEAKER_20
transcript.pyannote[226].start 2798.91846875
transcript.pyannote[226].end 2800.92659375
transcript.pyannote[227].speaker SPEAKER_20
transcript.pyannote[227].start 2802.44534375
transcript.pyannote[227].end 2804.35221875
transcript.pyannote[228].speaker SPEAKER_20
transcript.pyannote[228].start 2804.60534375
transcript.pyannote[228].end 2806.56284375
transcript.pyannote[229].speaker SPEAKER_20
transcript.pyannote[229].start 2807.27159375
transcript.pyannote[229].end 2807.72721875
transcript.pyannote[230].speaker SPEAKER_20
transcript.pyannote[230].start 2807.92971875
transcript.pyannote[230].end 2808.48659375
transcript.pyannote[231].speaker SPEAKER_20
transcript.pyannote[231].start 2809.00971875
transcript.pyannote[231].end 2811.15284375
transcript.pyannote[232].speaker SPEAKER_20
transcript.pyannote[232].start 2811.49034375
transcript.pyannote[232].end 2813.75159375
transcript.pyannote[233].speaker SPEAKER_20
transcript.pyannote[233].start 2813.85284375
transcript.pyannote[233].end 2815.55721875
transcript.pyannote[234].speaker SPEAKER_20
transcript.pyannote[234].start 2817.12659375
transcript.pyannote[234].end 2820.85596875
transcript.pyannote[235].speaker SPEAKER_20
transcript.pyannote[235].start 2821.42971875
transcript.pyannote[235].end 2821.96971875
transcript.pyannote[236].speaker SPEAKER_20
transcript.pyannote[236].start 2822.40846875
transcript.pyannote[236].end 2823.08346875
transcript.pyannote[237].speaker SPEAKER_20
transcript.pyannote[237].start 2823.42096875
transcript.pyannote[237].end 2825.12534375
transcript.pyannote[238].speaker SPEAKER_20
transcript.pyannote[238].start 2825.80034375
transcript.pyannote[238].end 2826.42471875
transcript.pyannote[239].speaker SPEAKER_20
transcript.pyannote[239].start 2827.08284375
transcript.pyannote[239].end 2828.63534375
transcript.pyannote[240].speaker SPEAKER_20
transcript.pyannote[240].start 2828.92221875
transcript.pyannote[240].end 2829.90096875
transcript.pyannote[241].speaker SPEAKER_20
transcript.pyannote[241].start 2830.59284375
transcript.pyannote[241].end 2831.58846875
transcript.pyannote[242].speaker SPEAKER_20
transcript.pyannote[242].start 2831.99346875
transcript.pyannote[242].end 2833.25909375
transcript.pyannote[243].speaker SPEAKER_20
transcript.pyannote[243].start 2833.63034375
transcript.pyannote[243].end 2834.98034375
transcript.pyannote[244].speaker SPEAKER_20
transcript.pyannote[244].start 2835.57096875
transcript.pyannote[244].end 2838.18659375
transcript.pyannote[245].speaker SPEAKER_20
transcript.pyannote[245].start 2838.65909375
transcript.pyannote[245].end 2840.14409375
transcript.pyannote[246].speaker SPEAKER_20
transcript.pyannote[246].start 2840.65034375
transcript.pyannote[246].end 2841.44346875
transcript.pyannote[247].speaker SPEAKER_20
transcript.pyannote[247].start 2842.20284375
transcript.pyannote[247].end 2844.02534375
transcript.pyannote[248].speaker SPEAKER_20
transcript.pyannote[248].start 2844.44721875
transcript.pyannote[248].end 2852.63159375
transcript.pyannote[249].speaker SPEAKER_20
transcript.pyannote[249].start 2852.76659375
transcript.pyannote[249].end 2853.89721875
transcript.pyannote[250].speaker SPEAKER_20
transcript.pyannote[250].start 2854.97721875
transcript.pyannote[250].end 2856.47909375
transcript.pyannote[251].speaker SPEAKER_20
transcript.pyannote[251].start 2857.49159375
transcript.pyannote[251].end 2859.88784375
transcript.pyannote[252].speaker SPEAKER_20
transcript.pyannote[252].start 2860.17471875
transcript.pyannote[252].end 2861.47409375
transcript.pyannote[253].speaker SPEAKER_20
transcript.pyannote[253].start 2861.49096875
transcript.pyannote[253].end 2862.79034375
transcript.pyannote[254].speaker SPEAKER_20
transcript.pyannote[254].start 2863.12784375
transcript.pyannote[254].end 2865.38909375
transcript.pyannote[255].speaker SPEAKER_20
transcript.pyannote[255].start 2865.92909375
transcript.pyannote[255].end 2868.32534375
transcript.pyannote[256].speaker SPEAKER_20
transcript.pyannote[256].start 2868.93284375
transcript.pyannote[256].end 2870.09721875
transcript.pyannote[257].speaker SPEAKER_20
transcript.pyannote[257].start 2870.90721875
transcript.pyannote[257].end 2871.91971875
transcript.pyannote[258].speaker SPEAKER_20
transcript.pyannote[258].start 2872.27409375
transcript.pyannote[258].end 2873.32034375
transcript.pyannote[259].speaker SPEAKER_20
transcript.pyannote[259].start 2874.01221875
transcript.pyannote[259].end 2875.00784375
transcript.pyannote[260].speaker SPEAKER_20
transcript.pyannote[260].start 2875.34534375
transcript.pyannote[260].end 2876.10471875
transcript.pyannote[261].speaker SPEAKER_20
transcript.pyannote[261].start 2877.06659375
transcript.pyannote[261].end 2877.48846875
transcript.pyannote[262].speaker SPEAKER_20
transcript.pyannote[262].start 2877.52221875
transcript.pyannote[262].end 2878.78784375
transcript.pyannote[263].speaker SPEAKER_20
transcript.pyannote[263].start 2879.44596875
transcript.pyannote[263].end 2879.83409375
transcript.pyannote[264].speaker SPEAKER_20
transcript.pyannote[264].start 2880.77909375
transcript.pyannote[264].end 2882.39909375
transcript.pyannote[265].speaker SPEAKER_20
transcript.pyannote[265].start 2884.03596875
transcript.pyannote[265].end 2886.71909375
transcript.pyannote[266].speaker SPEAKER_20
transcript.pyannote[266].start 2887.15784375
transcript.pyannote[266].end 2887.57971875
transcript.pyannote[267].speaker SPEAKER_20
transcript.pyannote[267].start 2887.79909375
transcript.pyannote[267].end 2889.01409375
transcript.pyannote[268].speaker SPEAKER_20
transcript.pyannote[268].start 2889.36846875
transcript.pyannote[268].end 2890.63409375
transcript.pyannote[269].speaker SPEAKER_20
transcript.pyannote[269].start 2892.40596875
transcript.pyannote[269].end 2893.45221875
transcript.pyannote[270].speaker SPEAKER_20
transcript.pyannote[270].start 2893.84034375
transcript.pyannote[270].end 2895.39284375
transcript.pyannote[271].speaker SPEAKER_20
transcript.pyannote[271].start 2896.94534375
transcript.pyannote[271].end 2898.12659375
transcript.pyannote[272].speaker SPEAKER_20
transcript.pyannote[272].start 2898.37971875
transcript.pyannote[272].end 2900.06721875
transcript.pyannote[273].speaker SPEAKER_20
transcript.pyannote[273].start 2900.75909375
transcript.pyannote[273].end 2901.09659375
transcript.pyannote[274].speaker SPEAKER_20
transcript.pyannote[274].start 2902.24409375
transcript.pyannote[274].end 2902.93596875
transcript.pyannote[275].speaker SPEAKER_20
transcript.pyannote[275].start 2903.59409375
transcript.pyannote[275].end 2904.21846875
transcript.pyannote[276].speaker SPEAKER_20
transcript.pyannote[276].start 2904.40409375
transcript.pyannote[276].end 2906.04096875
transcript.pyannote[277].speaker SPEAKER_20
transcript.pyannote[277].start 2906.39534375
transcript.pyannote[277].end 2907.52596875
transcript.pyannote[278].speaker SPEAKER_20
transcript.pyannote[278].start 2908.94346875
transcript.pyannote[278].end 2910.56346875
transcript.pyannote[279].speaker SPEAKER_20
transcript.pyannote[279].start 2911.64346875
transcript.pyannote[279].end 2912.84159375
transcript.pyannote[280].speaker SPEAKER_20
transcript.pyannote[280].start 2913.71909375
transcript.pyannote[280].end 2914.03971875
transcript.pyannote[281].speaker SPEAKER_20
transcript.pyannote[281].start 2915.05221875
transcript.pyannote[281].end 2917.46534375
transcript.pyannote[282].speaker SPEAKER_20
transcript.pyannote[282].start 2917.65096875
transcript.pyannote[282].end 2918.59596875
transcript.pyannote[283].speaker SPEAKER_20
transcript.pyannote[283].start 2919.84471875
transcript.pyannote[283].end 2920.09784375
transcript.pyannote[284].speaker SPEAKER_20
transcript.pyannote[284].start 2920.58721875
transcript.pyannote[284].end 2922.24096875
transcript.pyannote[285].speaker SPEAKER_20
transcript.pyannote[285].start 2923.50659375
transcript.pyannote[285].end 2924.18159375
transcript.pyannote[286].speaker SPEAKER_20
transcript.pyannote[286].start 2925.07596875
transcript.pyannote[286].end 2925.43034375
transcript.pyannote[287].speaker SPEAKER_20
transcript.pyannote[287].start 2926.17284375
transcript.pyannote[287].end 2928.67034375
transcript.pyannote[288].speaker SPEAKER_20
transcript.pyannote[288].start 2929.61534375
transcript.pyannote[288].end 2930.42534375
transcript.pyannote[289].speaker SPEAKER_20
transcript.pyannote[289].start 2931.35346875
transcript.pyannote[289].end 2934.61034375
transcript.pyannote[290].speaker SPEAKER_20
transcript.pyannote[290].start 2935.08284375
transcript.pyannote[290].end 2935.42034375
transcript.pyannote[291].speaker SPEAKER_20
transcript.pyannote[291].start 2935.63971875
transcript.pyannote[291].end 2937.15846875
transcript.pyannote[292].speaker SPEAKER_20
transcript.pyannote[292].start 2938.12034375
transcript.pyannote[292].end 2938.81221875
transcript.pyannote[293].speaker SPEAKER_20
transcript.pyannote[293].start 2939.50409375
transcript.pyannote[293].end 2940.12846875
transcript.pyannote[294].speaker SPEAKER_20
transcript.pyannote[294].start 2940.93846875
transcript.pyannote[294].end 2943.53721875
transcript.pyannote[295].speaker SPEAKER_20
transcript.pyannote[295].start 2944.61721875
transcript.pyannote[295].end 2945.27534375
transcript.pyannote[296].speaker SPEAKER_20
transcript.pyannote[296].start 2946.57471875
transcript.pyannote[296].end 2947.24971875
transcript.pyannote[297].speaker SPEAKER_20
transcript.pyannote[297].start 2948.54909375
transcript.pyannote[297].end 2951.65409375
transcript.pyannote[298].speaker SPEAKER_20
transcript.pyannote[298].start 2953.34159375
transcript.pyannote[298].end 2954.70846875
transcript.pyannote[299].speaker SPEAKER_20
transcript.pyannote[299].start 2956.27784375
transcript.pyannote[299].end 2957.08784375
transcript.pyannote[300].speaker SPEAKER_20
transcript.pyannote[300].start 2957.59409375
transcript.pyannote[300].end 2958.69096875
transcript.pyannote[301].speaker SPEAKER_20
transcript.pyannote[301].start 2959.99034375
transcript.pyannote[301].end 2962.74096875
transcript.pyannote[302].speaker SPEAKER_20
transcript.pyannote[302].start 2963.53409375
transcript.pyannote[302].end 2964.56346875
transcript.pyannote[303].speaker SPEAKER_20
transcript.pyannote[303].start 2964.90096875
transcript.pyannote[303].end 2969.44034375
transcript.pyannote[304].speaker SPEAKER_20
transcript.pyannote[304].start 2970.31784375
transcript.pyannote[304].end 2976.54471875
transcript.pyannote[305].speaker SPEAKER_20
transcript.pyannote[305].start 2976.89909375
transcript.pyannote[305].end 2977.70909375
transcript.pyannote[306].speaker SPEAKER_20
transcript.pyannote[306].start 2980.00409375
transcript.pyannote[306].end 2980.78034375
transcript.pyannote[307].speaker SPEAKER_20
transcript.pyannote[307].start 2982.09659375
transcript.pyannote[307].end 2983.00784375
transcript.pyannote[308].speaker SPEAKER_20
transcript.pyannote[308].start 2983.44659375
transcript.pyannote[308].end 2984.57721875
transcript.pyannote[309].speaker SPEAKER_20
transcript.pyannote[309].start 2985.23534375
transcript.pyannote[309].end 2986.41659375
transcript.pyannote[310].speaker SPEAKER_20
transcript.pyannote[310].start 2987.00721875
transcript.pyannote[310].end 2987.59784375
transcript.pyannote[311].speaker SPEAKER_20
transcript.pyannote[311].start 2987.80034375
transcript.pyannote[311].end 2989.58909375
transcript.pyannote[312].speaker SPEAKER_20
transcript.pyannote[312].start 2990.58471875
transcript.pyannote[312].end 2991.83346875
transcript.pyannote[313].speaker SPEAKER_20
transcript.pyannote[313].start 2992.66034375
transcript.pyannote[313].end 2996.96346875
transcript.pyannote[314].speaker SPEAKER_20
transcript.pyannote[314].start 2997.73971875
transcript.pyannote[314].end 2998.93784375
transcript.pyannote[315].speaker SPEAKER_20
transcript.pyannote[315].start 2999.91659375
transcript.pyannote[315].end 3001.28346875
transcript.pyannote[316].speaker SPEAKER_20
transcript.pyannote[316].start 3002.27909375
transcript.pyannote[316].end 3003.66284375
transcript.pyannote[317].speaker SPEAKER_20
transcript.pyannote[317].start 3004.87784375
transcript.pyannote[317].end 3005.95784375
transcript.pyannote[318].speaker SPEAKER_20
transcript.pyannote[318].start 3007.13909375
transcript.pyannote[318].end 3007.88159375
transcript.pyannote[319].speaker SPEAKER_20
transcript.pyannote[319].start 3008.67471875
transcript.pyannote[319].end 3010.31159375
transcript.pyannote[320].speaker SPEAKER_20
transcript.pyannote[320].start 3011.07096875
transcript.pyannote[320].end 3014.41221875
transcript.pyannote[321].speaker SPEAKER_20
transcript.pyannote[321].start 3015.20534375
transcript.pyannote[321].end 3016.63971875
transcript.pyannote[322].speaker SPEAKER_20
transcript.pyannote[322].start 3017.56784375
transcript.pyannote[322].end 3018.66471875
transcript.pyannote[323].speaker SPEAKER_20
transcript.pyannote[323].start 3019.67721875
transcript.pyannote[323].end 3020.62221875
transcript.pyannote[324].speaker SPEAKER_20
transcript.pyannote[324].start 3020.68971875
transcript.pyannote[324].end 3021.44909375
transcript.pyannote[325].speaker SPEAKER_20
transcript.pyannote[325].start 3022.86659375
transcript.pyannote[325].end 3024.40221875
transcript.pyannote[326].speaker SPEAKER_20
transcript.pyannote[326].start 3025.63409375
transcript.pyannote[326].end 3026.37659375
transcript.pyannote[327].speaker SPEAKER_20
transcript.pyannote[327].start 3026.66346875
transcript.pyannote[327].end 3028.31721875
transcript.pyannote[328].speaker SPEAKER_20
transcript.pyannote[328].start 3029.04284375
transcript.pyannote[328].end 3031.82721875
transcript.pyannote[329].speaker SPEAKER_20
transcript.pyannote[329].start 3032.77221875
transcript.pyannote[329].end 3034.25721875
transcript.pyannote[330].speaker SPEAKER_20
transcript.pyannote[330].start 3034.64534375
transcript.pyannote[330].end 3035.13471875
transcript.pyannote[331].speaker SPEAKER_20
transcript.pyannote[331].start 3035.50596875
transcript.pyannote[331].end 3037.59846875
transcript.pyannote[332].speaker SPEAKER_20
transcript.pyannote[332].start 3038.08784375
transcript.pyannote[332].end 3039.23534375
transcript.pyannote[333].speaker SPEAKER_20
transcript.pyannote[333].start 3039.45471875
transcript.pyannote[333].end 3040.18034375
transcript.pyannote[334].speaker SPEAKER_20
transcript.pyannote[334].start 3040.72034375
transcript.pyannote[334].end 3041.71596875
transcript.pyannote[335].speaker SPEAKER_20
transcript.pyannote[335].start 3042.34034375
transcript.pyannote[335].end 3044.51721875
transcript.pyannote[336].speaker SPEAKER_20
transcript.pyannote[336].start 3045.05721875
transcript.pyannote[336].end 3046.84596875
transcript.pyannote[337].speaker SPEAKER_20
transcript.pyannote[337].start 3047.01471875
transcript.pyannote[337].end 3047.90909375
transcript.pyannote[338].speaker SPEAKER_20
transcript.pyannote[338].start 3048.31409375
transcript.pyannote[338].end 3049.46159375
transcript.pyannote[339].speaker SPEAKER_20
transcript.pyannote[339].start 3049.86659375
transcript.pyannote[339].end 3051.67221875
transcript.pyannote[340].speaker SPEAKER_20
transcript.pyannote[340].start 3052.88721875
transcript.pyannote[340].end 3054.22034375
transcript.pyannote[341].speaker SPEAKER_20
transcript.pyannote[341].start 3055.04721875
transcript.pyannote[341].end 3055.58721875
transcript.pyannote[342].speaker SPEAKER_20
transcript.pyannote[342].start 3056.53221875
transcript.pyannote[342].end 3058.75971875
transcript.pyannote[343].speaker SPEAKER_20
transcript.pyannote[343].start 3058.99596875
transcript.pyannote[343].end 3059.94096875
transcript.pyannote[344].speaker SPEAKER_20
transcript.pyannote[344].start 3060.51471875
transcript.pyannote[344].end 3061.64534375
transcript.pyannote[345].speaker SPEAKER_20
transcript.pyannote[345].start 3062.21909375
transcript.pyannote[345].end 3062.89409375
transcript.pyannote[346].speaker SPEAKER_20
transcript.pyannote[346].start 3062.97846875
transcript.pyannote[346].end 3065.57721875
transcript.pyannote[347].speaker SPEAKER_20
transcript.pyannote[347].start 3066.08346875
transcript.pyannote[347].end 3068.05784375
transcript.pyannote[348].speaker SPEAKER_20
transcript.pyannote[348].start 3068.32784375
transcript.pyannote[348].end 3069.15471875
transcript.pyannote[349].speaker SPEAKER_20
transcript.pyannote[349].start 3070.42034375
transcript.pyannote[349].end 3071.48346875
transcript.pyannote[350].speaker SPEAKER_20
transcript.pyannote[350].start 3071.80409375
transcript.pyannote[350].end 3073.76159375
transcript.pyannote[351].speaker SPEAKER_20
transcript.pyannote[351].start 3074.16659375
transcript.pyannote[351].end 3079.60034375
transcript.pyannote[352].speaker SPEAKER_20
transcript.pyannote[352].start 3079.97159375
transcript.pyannote[352].end 3080.66346875
transcript.pyannote[353].speaker SPEAKER_20
transcript.pyannote[353].start 3080.98409375
transcript.pyannote[353].end 3086.21534375
transcript.pyannote[354].speaker SPEAKER_20
transcript.pyannote[354].start 3086.40096875
transcript.pyannote[354].end 3087.04221875
transcript.pyannote[355].speaker SPEAKER_20
transcript.pyannote[355].start 3087.19409375
transcript.pyannote[355].end 3089.16846875
transcript.pyannote[356].speaker SPEAKER_20
transcript.pyannote[356].start 3090.36659375
transcript.pyannote[356].end 3091.73346875
transcript.pyannote[357].speaker SPEAKER_20
transcript.pyannote[357].start 3092.54346875
transcript.pyannote[357].end 3094.53471875
transcript.pyannote[358].speaker SPEAKER_20
transcript.pyannote[358].start 3095.39534375
transcript.pyannote[358].end 3096.62721875
transcript.pyannote[359].speaker SPEAKER_20
transcript.pyannote[359].start 3097.01534375
transcript.pyannote[359].end 3098.24721875
transcript.pyannote[360].speaker SPEAKER_20
transcript.pyannote[360].start 3098.83784375
transcript.pyannote[360].end 3100.49159375
transcript.pyannote[361].speaker SPEAKER_20
transcript.pyannote[361].start 3100.81221875
transcript.pyannote[361].end 3102.38159375
transcript.pyannote[362].speaker SPEAKER_20
transcript.pyannote[362].start 3102.80346875
transcript.pyannote[362].end 3103.57971875
transcript.pyannote[363].speaker SPEAKER_20
transcript.pyannote[363].start 3104.15346875
transcript.pyannote[363].end 3104.60909375
transcript.pyannote[364].speaker SPEAKER_20
transcript.pyannote[364].start 3104.79471875
transcript.pyannote[364].end 3105.28409375
transcript.pyannote[365].speaker SPEAKER_20
transcript.pyannote[365].start 3105.94221875
transcript.pyannote[365].end 3106.49909375
transcript.pyannote[366].speaker SPEAKER_20
transcript.pyannote[366].start 3107.19096875
transcript.pyannote[366].end 3107.27534375
transcript.pyannote[367].speaker SPEAKER_20
transcript.pyannote[367].start 3108.35534375
transcript.pyannote[367].end 3109.18221875
transcript.pyannote[368].speaker SPEAKER_20
transcript.pyannote[368].start 3109.48596875
transcript.pyannote[368].end 3111.42659375
transcript.pyannote[369].speaker SPEAKER_20
transcript.pyannote[369].start 3111.86534375
transcript.pyannote[369].end 3112.33784375
transcript.pyannote[370].speaker SPEAKER_20
transcript.pyannote[370].start 3113.63721875
transcript.pyannote[370].end 3114.64971875
transcript.pyannote[371].speaker SPEAKER_20
transcript.pyannote[371].start 3115.89846875
transcript.pyannote[371].end 3117.31596875
transcript.pyannote[372].speaker SPEAKER_20
transcript.pyannote[372].start 3117.94034375
transcript.pyannote[372].end 3119.05409375
transcript.pyannote[373].speaker SPEAKER_20
transcript.pyannote[373].start 3119.17221875
transcript.pyannote[373].end 3120.84284375
transcript.pyannote[374].speaker SPEAKER_20
transcript.pyannote[374].start 3121.18034375
transcript.pyannote[374].end 3122.36159375
transcript.pyannote[375].speaker SPEAKER_20
transcript.pyannote[375].start 3122.91846875
transcript.pyannote[375].end 3123.39096875
transcript.pyannote[376].speaker SPEAKER_20
transcript.pyannote[376].start 3123.94784375
transcript.pyannote[376].end 3125.19659375
transcript.pyannote[377].speaker SPEAKER_20
transcript.pyannote[377].start 3125.66909375
transcript.pyannote[377].end 3127.71096875
transcript.pyannote[378].speaker SPEAKER_20
transcript.pyannote[378].start 3128.79096875
transcript.pyannote[378].end 3129.76971875
transcript.pyannote[379].speaker SPEAKER_20
transcript.pyannote[379].start 3130.59659375
transcript.pyannote[379].end 3130.88346875
transcript.pyannote[380].speaker SPEAKER_20
transcript.pyannote[380].start 3131.40659375
transcript.pyannote[380].end 3132.94221875
transcript.pyannote[381].speaker SPEAKER_20
transcript.pyannote[381].start 3134.12346875
transcript.pyannote[381].end 3134.49471875
transcript.pyannote[382].speaker SPEAKER_20
transcript.pyannote[382].start 3134.71409375
transcript.pyannote[382].end 3136.21596875
transcript.pyannote[383].speaker SPEAKER_20
transcript.pyannote[383].start 3136.53659375
transcript.pyannote[383].end 3137.14409375
transcript.pyannote[384].speaker SPEAKER_20
transcript.pyannote[384].start 3137.41409375
transcript.pyannote[384].end 3139.16909375
transcript.pyannote[385].speaker SPEAKER_20
transcript.pyannote[385].start 3140.53596875
transcript.pyannote[385].end 3141.44721875
transcript.pyannote[386].speaker SPEAKER_20
transcript.pyannote[386].start 3141.51471875
transcript.pyannote[386].end 3142.84784375
transcript.pyannote[387].speaker SPEAKER_20
transcript.pyannote[387].start 3144.13034375
transcript.pyannote[387].end 3145.98659375
transcript.pyannote[388].speaker SPEAKER_20
transcript.pyannote[388].start 3146.34096875
transcript.pyannote[388].end 3150.01971875
transcript.pyannote[389].speaker SPEAKER_20
transcript.pyannote[389].start 3150.50909375
transcript.pyannote[389].end 3151.23471875
transcript.pyannote[390].speaker SPEAKER_20
transcript.pyannote[390].start 3151.25159375
transcript.pyannote[390].end 3152.34846875
transcript.pyannote[391].speaker SPEAKER_20
transcript.pyannote[391].start 3152.83784375
transcript.pyannote[391].end 3153.24284375
transcript.pyannote[392].speaker SPEAKER_19
transcript.pyannote[392].start 3153.24284375
transcript.pyannote[392].end 3153.25971875
transcript.pyannote[393].speaker SPEAKER_19
transcript.pyannote[393].start 3153.78284375
transcript.pyannote[393].end 3155.80784375
transcript.pyannote[394].speaker SPEAKER_19
transcript.pyannote[394].start 3157.76534375
transcript.pyannote[394].end 3158.38971875
transcript.pyannote[395].speaker SPEAKER_19
transcript.pyannote[395].start 3158.64284375
transcript.pyannote[395].end 3159.68909375
transcript.pyannote[396].speaker SPEAKER_19
transcript.pyannote[396].start 3159.79034375
transcript.pyannote[396].end 3160.66784375
transcript.pyannote[397].speaker SPEAKER_10
transcript.pyannote[397].start 3176.37846875
transcript.pyannote[397].end 3182.45346875
transcript.pyannote[398].speaker SPEAKER_10
transcript.pyannote[398].start 3182.90909375
transcript.pyannote[398].end 3186.09846875
transcript.pyannote[399].speaker SPEAKER_10
transcript.pyannote[399].start 3186.19971875
transcript.pyannote[399].end 3193.32096875
transcript.pyannote[400].speaker SPEAKER_10
transcript.pyannote[400].start 3194.01284375
transcript.pyannote[400].end 3198.56909375
transcript.pyannote[401].speaker SPEAKER_10
transcript.pyannote[401].start 3199.15971875
transcript.pyannote[401].end 3199.73346875
transcript.pyannote[402].speaker SPEAKER_10
transcript.pyannote[402].start 3200.27346875
transcript.pyannote[402].end 3201.20159375
transcript.pyannote[403].speaker SPEAKER_10
transcript.pyannote[403].start 3202.06221875
transcript.pyannote[403].end 3204.22221875
transcript.pyannote[404].speaker SPEAKER_10
transcript.pyannote[404].start 3204.72846875
transcript.pyannote[404].end 3206.87159375
transcript.pyannote[405].speaker SPEAKER_10
transcript.pyannote[405].start 3207.96846875
transcript.pyannote[405].end 3210.61784375
transcript.pyannote[406].speaker SPEAKER_10
transcript.pyannote[406].start 3211.56284375
transcript.pyannote[406].end 3213.67221875
transcript.pyannote[407].speaker SPEAKER_10
transcript.pyannote[407].start 3214.54971875
transcript.pyannote[407].end 3217.04721875
transcript.pyannote[408].speaker SPEAKER_10
transcript.pyannote[408].start 3218.29596875
transcript.pyannote[408].end 3218.98784375
transcript.pyannote[409].speaker SPEAKER_10
transcript.pyannote[409].start 3219.76409375
transcript.pyannote[409].end 3221.40096875
transcript.pyannote[410].speaker SPEAKER_10
transcript.pyannote[410].start 3221.77221875
transcript.pyannote[410].end 3224.60721875
transcript.pyannote[411].speaker SPEAKER_10
transcript.pyannote[411].start 3225.34971875
transcript.pyannote[411].end 3227.07096875
transcript.pyannote[412].speaker SPEAKER_10
transcript.pyannote[412].start 3228.20159375
transcript.pyannote[412].end 3229.31534375
transcript.pyannote[413].speaker SPEAKER_10
transcript.pyannote[413].start 3230.31096875
transcript.pyannote[413].end 3232.58909375
transcript.pyannote[414].speaker SPEAKER_10
transcript.pyannote[414].start 3232.96034375
transcript.pyannote[414].end 3233.98971875
transcript.pyannote[415].speaker SPEAKER_10
transcript.pyannote[415].start 3235.01909375
transcript.pyannote[415].end 3235.82909375
transcript.pyannote[416].speaker SPEAKER_10
transcript.pyannote[416].start 3236.31846875
transcript.pyannote[416].end 3238.02284375
transcript.pyannote[417].speaker SPEAKER_10
transcript.pyannote[417].start 3238.42784375
transcript.pyannote[417].end 3240.33471875
transcript.pyannote[418].speaker SPEAKER_10
transcript.pyannote[418].start 3241.00971875
transcript.pyannote[418].end 3241.87034375
transcript.pyannote[419].speaker SPEAKER_10
transcript.pyannote[419].start 3242.39346875
transcript.pyannote[419].end 3244.72221875
transcript.pyannote[420].speaker SPEAKER_10
transcript.pyannote[420].start 3245.14409375
transcript.pyannote[420].end 3246.54471875
transcript.pyannote[421].speaker SPEAKER_10
transcript.pyannote[421].start 3247.67534375
transcript.pyannote[421].end 3248.80596875
transcript.pyannote[422].speaker SPEAKER_10
transcript.pyannote[422].start 3249.54846875
transcript.pyannote[422].end 3253.27784375
transcript.pyannote[423].speaker SPEAKER_10
transcript.pyannote[423].start 3253.59846875
transcript.pyannote[423].end 3255.06659375
transcript.pyannote[424].speaker SPEAKER_10
transcript.pyannote[424].start 3255.40409375
transcript.pyannote[424].end 3257.54721875
transcript.pyannote[425].speaker SPEAKER_10
transcript.pyannote[425].start 3257.80034375
transcript.pyannote[425].end 3259.35284375
transcript.pyannote[426].speaker SPEAKER_10
transcript.pyannote[426].start 3259.89284375
transcript.pyannote[426].end 3263.85846875
transcript.pyannote[427].speaker SPEAKER_10
transcript.pyannote[427].start 3264.02721875
transcript.pyannote[427].end 3264.93846875
transcript.pyannote[428].speaker SPEAKER_10
transcript.pyannote[428].start 3265.44471875
transcript.pyannote[428].end 3268.81971875
transcript.pyannote[429].speaker SPEAKER_10
transcript.pyannote[429].start 3269.54534375
transcript.pyannote[429].end 3270.28784375
transcript.pyannote[430].speaker SPEAKER_10
transcript.pyannote[430].start 3271.04721875
transcript.pyannote[430].end 3273.24096875
transcript.pyannote[431].speaker SPEAKER_10
transcript.pyannote[431].start 3273.71346875
transcript.pyannote[431].end 3275.06346875
transcript.pyannote[432].speaker SPEAKER_10
transcript.pyannote[432].start 3275.85659375
transcript.pyannote[432].end 3277.24034375
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 3277.40909375
transcript.pyannote[433].end 3293.23784375
transcript.pyannote[434].speaker SPEAKER_10
transcript.pyannote[434].start 3294.30096875
transcript.pyannote[434].end 3296.64659375
transcript.pyannote[435].speaker SPEAKER_10
transcript.pyannote[435].start 3297.40596875
transcript.pyannote[435].end 3298.16534375
transcript.pyannote[436].speaker SPEAKER_10
transcript.pyannote[436].start 3298.84034375
transcript.pyannote[436].end 3299.43096875
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 3299.76846875
transcript.pyannote[437].end 3302.19846875
transcript.pyannote[438].speaker SPEAKER_10
transcript.pyannote[438].start 3302.82284375
transcript.pyannote[438].end 3304.64534375
transcript.pyannote[439].speaker SPEAKER_10
transcript.pyannote[439].start 3305.21909375
transcript.pyannote[439].end 3306.28221875
transcript.pyannote[440].speaker SPEAKER_10
transcript.pyannote[440].start 3306.51846875
transcript.pyannote[440].end 3316.30596875
transcript.pyannote[441].speaker SPEAKER_10
transcript.pyannote[441].start 3317.04846875
transcript.pyannote[441].end 3319.93409375
transcript.pyannote[442].speaker SPEAKER_10
transcript.pyannote[442].start 3321.33471875
transcript.pyannote[442].end 3322.19534375
transcript.pyannote[443].speaker SPEAKER_10
transcript.pyannote[443].start 3322.70159375
transcript.pyannote[443].end 3330.07596875
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 3330.39659375
transcript.pyannote[444].end 3331.93221875
transcript.pyannote[445].speaker SPEAKER_10
transcript.pyannote[445].start 3333.46784375
transcript.pyannote[445].end 3334.22721875
transcript.pyannote[446].speaker SPEAKER_10
transcript.pyannote[446].start 3334.63221875
transcript.pyannote[446].end 3341.71971875
transcript.pyannote[447].speaker SPEAKER_10
transcript.pyannote[447].start 3342.58034375
transcript.pyannote[447].end 3343.49159375
transcript.pyannote[448].speaker SPEAKER_10
transcript.pyannote[448].start 3343.72784375
transcript.pyannote[448].end 3346.32659375
transcript.pyannote[449].speaker SPEAKER_10
transcript.pyannote[449].start 3346.78221875
transcript.pyannote[449].end 3348.75659375
transcript.pyannote[450].speaker SPEAKER_10
transcript.pyannote[450].start 3349.17846875
transcript.pyannote[450].end 3350.34284375
transcript.pyannote[451].speaker SPEAKER_10
transcript.pyannote[451].start 3350.51159375
transcript.pyannote[451].end 3351.79409375
transcript.pyannote[452].speaker SPEAKER_10
transcript.pyannote[452].start 3352.43534375
transcript.pyannote[452].end 3353.56596875
transcript.pyannote[453].speaker SPEAKER_10
transcript.pyannote[453].start 3353.71784375
transcript.pyannote[453].end 3355.38846875
transcript.pyannote[454].speaker SPEAKER_10
transcript.pyannote[454].start 3355.81034375
transcript.pyannote[454].end 3358.57784375
transcript.pyannote[455].speaker SPEAKER_10
transcript.pyannote[455].start 3359.13471875
transcript.pyannote[455].end 3359.97846875
transcript.pyannote[456].speaker SPEAKER_10
transcript.pyannote[456].start 3360.43409375
transcript.pyannote[456].end 3361.31159375
transcript.pyannote[457].speaker SPEAKER_10
transcript.pyannote[457].start 3362.08784375
transcript.pyannote[457].end 3362.84721875
transcript.pyannote[458].speaker SPEAKER_10
transcript.pyannote[458].start 3363.35346875
transcript.pyannote[458].end 3364.11284375
transcript.pyannote[459].speaker SPEAKER_10
transcript.pyannote[459].start 3364.80471875
transcript.pyannote[459].end 3365.63159375
transcript.pyannote[460].speaker SPEAKER_10
transcript.pyannote[460].start 3366.66096875
transcript.pyannote[460].end 3367.94346875
transcript.pyannote[461].speaker SPEAKER_10
transcript.pyannote[461].start 3369.00659375
transcript.pyannote[461].end 3369.91784375
transcript.pyannote[462].speaker SPEAKER_10
transcript.pyannote[462].start 3371.20034375
transcript.pyannote[462].end 3374.03534375
transcript.pyannote[463].speaker SPEAKER_10
transcript.pyannote[463].start 3374.81159375
transcript.pyannote[463].end 3375.43596875
transcript.pyannote[464].speaker SPEAKER_10
transcript.pyannote[464].start 3375.79034375
transcript.pyannote[464].end 3376.65096875
transcript.pyannote[465].speaker SPEAKER_10
transcript.pyannote[465].start 3377.22471875
transcript.pyannote[465].end 3380.81909375
transcript.pyannote[466].speaker SPEAKER_10
transcript.pyannote[466].start 3381.12284375
transcript.pyannote[466].end 3383.41784375
transcript.pyannote[467].speaker SPEAKER_10
transcript.pyannote[467].start 3384.16034375
transcript.pyannote[467].end 3385.34159375
transcript.pyannote[468].speaker SPEAKER_10
transcript.pyannote[468].start 3387.80534375
transcript.pyannote[468].end 3388.46346875
transcript.pyannote[469].speaker SPEAKER_10
transcript.pyannote[469].start 3389.34096875
transcript.pyannote[469].end 3392.26034375
transcript.pyannote[470].speaker SPEAKER_10
transcript.pyannote[470].start 3392.71596875
transcript.pyannote[470].end 3394.70721875
transcript.pyannote[471].speaker SPEAKER_10
transcript.pyannote[471].start 3395.09534375
transcript.pyannote[471].end 3397.30596875
transcript.pyannote[472].speaker SPEAKER_10
transcript.pyannote[472].start 3397.81221875
transcript.pyannote[472].end 3408.12284375
transcript.pyannote[473].speaker SPEAKER_10
transcript.pyannote[473].start 3408.76409375
transcript.pyannote[473].end 3411.37971875
transcript.pyannote[474].speaker SPEAKER_10
transcript.pyannote[474].start 3411.83534375
transcript.pyannote[474].end 3413.53971875
transcript.pyannote[475].speaker SPEAKER_10
transcript.pyannote[475].start 3416.37471875
transcript.pyannote[475].end 3419.02409375
transcript.pyannote[476].speaker SPEAKER_10
transcript.pyannote[476].start 3419.66534375
transcript.pyannote[476].end 3420.57659375
transcript.pyannote[477].speaker SPEAKER_10
transcript.pyannote[477].start 3422.19659375
transcript.pyannote[477].end 3425.72346875
transcript.pyannote[478].speaker SPEAKER_10
transcript.pyannote[478].start 3426.34784375
transcript.pyannote[478].end 3427.37721875
transcript.pyannote[479].speaker SPEAKER_10
transcript.pyannote[479].start 3427.83284375
transcript.pyannote[479].end 3429.46971875
transcript.pyannote[480].speaker SPEAKER_10
transcript.pyannote[480].start 3429.85784375
transcript.pyannote[480].end 3431.41034375
transcript.pyannote[481].speaker SPEAKER_10
transcript.pyannote[481].start 3432.28784375
transcript.pyannote[481].end 3433.16534375
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 3434.43096875
transcript.pyannote[482].end 3438.80159375
transcript.pyannote[483].speaker SPEAKER_10
transcript.pyannote[483].start 3440.33721875
transcript.pyannote[483].end 3441.46784375
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 3441.95721875
transcript.pyannote[484].end 3443.50971875
transcript.pyannote[485].speaker SPEAKER_10
transcript.pyannote[485].start 3445.23096875
transcript.pyannote[485].end 3448.16721875
transcript.pyannote[486].speaker SPEAKER_10
transcript.pyannote[486].start 3448.58909375
transcript.pyannote[486].end 3456.33471875
transcript.pyannote[487].speaker SPEAKER_10
transcript.pyannote[487].start 3456.80721875
transcript.pyannote[487].end 3460.03034375
transcript.pyannote[488].speaker SPEAKER_10
transcript.pyannote[488].start 3460.08096875
transcript.pyannote[488].end 3464.14784375
transcript.pyannote[489].speaker SPEAKER_10
transcript.pyannote[489].start 3464.46846875
transcript.pyannote[489].end 3467.35409375
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 3469.37909375
transcript.pyannote[490].end 3469.95284375
transcript.pyannote[491].speaker SPEAKER_10
transcript.pyannote[491].start 3470.57721875
transcript.pyannote[491].end 3471.75846875
transcript.pyannote[492].speaker SPEAKER_10
transcript.pyannote[492].start 3472.53471875
transcript.pyannote[492].end 3473.42909375
transcript.pyannote[493].speaker SPEAKER_10
transcript.pyannote[493].start 3473.86784375
transcript.pyannote[493].end 3476.02784375
transcript.pyannote[494].speaker SPEAKER_10
transcript.pyannote[494].start 3476.21346875
transcript.pyannote[494].end 3479.62221875
transcript.pyannote[495].speaker SPEAKER_10
transcript.pyannote[495].start 3480.04409375
transcript.pyannote[495].end 3483.21659375
transcript.pyannote[496].speaker SPEAKER_10
transcript.pyannote[496].start 3484.61721875
transcript.pyannote[496].end 3485.69721875
transcript.pyannote[497].speaker SPEAKER_10
transcript.pyannote[497].start 3486.15284375
transcript.pyannote[497].end 3491.80596875
transcript.pyannote[498].speaker SPEAKER_10
transcript.pyannote[498].start 3492.05909375
transcript.pyannote[498].end 3493.30784375
transcript.pyannote[499].speaker SPEAKER_10
transcript.pyannote[499].start 3493.69596875
transcript.pyannote[499].end 3494.77596875
transcript.pyannote[500].speaker SPEAKER_10
transcript.pyannote[500].start 3495.85596875
transcript.pyannote[500].end 3496.51409375
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 3497.34096875
transcript.pyannote[501].end 3497.96534375
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 3499.09596875
transcript.pyannote[502].end 3500.00721875
transcript.pyannote[503].speaker SPEAKER_10
transcript.pyannote[503].start 3501.34034375
transcript.pyannote[503].end 3503.29784375
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 3503.83784375
transcript.pyannote[504].end 3505.03596875
transcript.pyannote[505].speaker SPEAKER_10
transcript.pyannote[505].start 3505.69409375
transcript.pyannote[505].end 3506.72346875
transcript.pyannote[506].speaker SPEAKER_10
transcript.pyannote[506].start 3507.85409375
transcript.pyannote[506].end 3510.36846875
transcript.pyannote[507].speaker SPEAKER_10
transcript.pyannote[507].start 3511.33034375
transcript.pyannote[507].end 3518.06346875
transcript.pyannote[508].speaker SPEAKER_10
transcript.pyannote[508].start 3518.92409375
transcript.pyannote[508].end 3521.94471875
transcript.pyannote[509].speaker SPEAKER_10
transcript.pyannote[509].start 3522.09659375
transcript.pyannote[509].end 3523.73346875
transcript.pyannote[510].speaker SPEAKER_10
transcript.pyannote[510].start 3523.96971875
transcript.pyannote[510].end 3525.45471875
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 3526.43346875
transcript.pyannote[511].end 3527.81721875
transcript.pyannote[512].speaker SPEAKER_10
transcript.pyannote[512].start 3528.12096875
transcript.pyannote[512].end 3531.07409375
transcript.pyannote[513].speaker SPEAKER_10
transcript.pyannote[513].start 3532.01909375
transcript.pyannote[513].end 3541.53659375
transcript.pyannote[514].speaker SPEAKER_10
transcript.pyannote[514].start 3542.27909375
transcript.pyannote[514].end 3544.23659375
transcript.pyannote[515].speaker SPEAKER_10
transcript.pyannote[515].start 3545.56971875
transcript.pyannote[515].end 3548.74221875
transcript.pyannote[516].speaker SPEAKER_10
transcript.pyannote[516].start 3549.46784375
transcript.pyannote[516].end 3552.96096875
transcript.pyannote[517].speaker SPEAKER_10
transcript.pyannote[517].start 3553.19721875
transcript.pyannote[517].end 3562.47846875
transcript.pyannote[518].speaker SPEAKER_10
transcript.pyannote[518].start 3563.23784375
transcript.pyannote[518].end 3564.40221875
transcript.pyannote[519].speaker SPEAKER_10
transcript.pyannote[519].start 3564.68909375
transcript.pyannote[519].end 3566.37659375
transcript.pyannote[520].speaker SPEAKER_10
transcript.pyannote[520].start 3567.10221875
transcript.pyannote[520].end 3569.17784375
transcript.pyannote[521].speaker SPEAKER_10
transcript.pyannote[521].start 3569.59971875
transcript.pyannote[521].end 3575.28659375
transcript.pyannote[522].speaker SPEAKER_10
transcript.pyannote[522].start 3576.29909375
transcript.pyannote[522].end 3579.13409375
transcript.pyannote[523].speaker SPEAKER_10
transcript.pyannote[523].start 3579.50534375
transcript.pyannote[523].end 3587.35221875
transcript.pyannote[524].speaker SPEAKER_10
transcript.pyannote[524].start 3587.89221875
transcript.pyannote[524].end 3588.93846875
transcript.pyannote[525].speaker SPEAKER_10
transcript.pyannote[525].start 3589.47846875
transcript.pyannote[525].end 3594.54096875
transcript.pyannote[526].speaker SPEAKER_10
transcript.pyannote[526].start 3595.62096875
transcript.pyannote[526].end 3597.47721875
transcript.pyannote[527].speaker SPEAKER_10
transcript.pyannote[527].start 3597.86534375
transcript.pyannote[527].end 3599.26596875
transcript.pyannote[528].speaker SPEAKER_10
transcript.pyannote[528].start 3599.51909375
transcript.pyannote[528].end 3600.53159375
transcript.pyannote[529].speaker SPEAKER_10
transcript.pyannote[529].start 3601.39221875
transcript.pyannote[529].end 3602.11784375
transcript.pyannote[530].speaker SPEAKER_10
transcript.pyannote[530].start 3602.84346875
transcript.pyannote[530].end 3603.48471875
transcript.pyannote[531].speaker SPEAKER_10
transcript.pyannote[531].start 3604.19346875
transcript.pyannote[531].end 3605.79659375
transcript.pyannote[532].speaker SPEAKER_10
transcript.pyannote[532].start 3605.96534375
transcript.pyannote[532].end 3607.39971875
transcript.pyannote[533].speaker SPEAKER_10
transcript.pyannote[533].start 3607.92284375
transcript.pyannote[533].end 3610.85909375
transcript.pyannote[534].speaker SPEAKER_10
transcript.pyannote[534].start 3611.31471875
transcript.pyannote[534].end 3613.05284375
transcript.pyannote[535].speaker SPEAKER_10
transcript.pyannote[535].start 3613.50846875
transcript.pyannote[535].end 3617.79471875
transcript.pyannote[536].speaker SPEAKER_10
transcript.pyannote[536].start 3618.25034375
transcript.pyannote[536].end 3621.77721875
transcript.pyannote[537].speaker SPEAKER_10
transcript.pyannote[537].start 3622.14846875
transcript.pyannote[537].end 3627.10971875
transcript.pyannote[538].speaker SPEAKER_10
transcript.pyannote[538].start 3627.48096875
transcript.pyannote[538].end 3630.02909375
transcript.pyannote[539].speaker SPEAKER_19
transcript.pyannote[539].start 3631.21034375
transcript.pyannote[539].end 3633.74159375
transcript.pyannote[540].speaker SPEAKER_19
transcript.pyannote[540].start 3636.44159375
transcript.pyannote[540].end 3637.69034375
transcript.pyannote[541].speaker SPEAKER_19
transcript.pyannote[541].start 3638.33159375
transcript.pyannote[541].end 3641.18346875
transcript.pyannote[542].speaker SPEAKER_19
transcript.pyannote[542].start 3641.31846875
transcript.pyannote[542].end 3642.61784375
transcript.pyannote[543].speaker SPEAKER_19
transcript.pyannote[543].start 3644.22096875
transcript.pyannote[543].end 3644.74409375
transcript.pyannote[544].speaker SPEAKER_19
transcript.pyannote[544].start 3645.14909375
transcript.pyannote[544].end 3646.00971875
transcript.pyannote[545].speaker SPEAKER_01
transcript.pyannote[545].start 3653.48534375
transcript.pyannote[545].end 3654.27846875
transcript.pyannote[546].speaker SPEAKER_01
transcript.pyannote[546].start 3654.61596875
transcript.pyannote[546].end 3718.77471875
transcript.pyannote[547].speaker SPEAKER_01
transcript.pyannote[547].start 3719.06159375
transcript.pyannote[547].end 3719.60159375
transcript.pyannote[548].speaker SPEAKER_01
transcript.pyannote[548].start 3719.73659375
transcript.pyannote[548].end 3721.05284375
transcript.pyannote[549].speaker SPEAKER_01
transcript.pyannote[549].start 3721.15409375
transcript.pyannote[549].end 3723.14534375
transcript.pyannote[550].speaker SPEAKER_01
transcript.pyannote[550].start 3724.20846875
transcript.pyannote[550].end 3736.89846875
transcript.pyannote[551].speaker SPEAKER_01
transcript.pyannote[551].start 3737.20221875
transcript.pyannote[551].end 3738.78846875
transcript.pyannote[552].speaker SPEAKER_01
transcript.pyannote[552].start 3739.75034375
transcript.pyannote[552].end 3740.40846875
transcript.pyannote[553].speaker SPEAKER_01
transcript.pyannote[553].start 3740.74596875
transcript.pyannote[553].end 3744.79596875
transcript.pyannote[554].speaker SPEAKER_01
transcript.pyannote[554].start 3745.33596875
transcript.pyannote[554].end 3754.49909375
transcript.pyannote[555].speaker SPEAKER_01
transcript.pyannote[555].start 3754.58346875
transcript.pyannote[555].end 3770.47971875
transcript.pyannote[556].speaker SPEAKER_01
transcript.pyannote[556].start 3770.83409375
transcript.pyannote[556].end 3772.47096875
transcript.pyannote[557].speaker SPEAKER_01
transcript.pyannote[557].start 3772.67346875
transcript.pyannote[557].end 3774.56346875
transcript.pyannote[558].speaker SPEAKER_01
transcript.pyannote[558].start 3775.25534375
transcript.pyannote[558].end 3777.01034375
transcript.pyannote[559].speaker SPEAKER_01
transcript.pyannote[559].start 3778.12409375
transcript.pyannote[559].end 3784.78971875
transcript.pyannote[560].speaker SPEAKER_01
transcript.pyannote[560].start 3785.68409375
transcript.pyannote[560].end 3789.29534375
transcript.pyannote[561].speaker SPEAKER_01
transcript.pyannote[561].start 3789.51471875
transcript.pyannote[561].end 3791.97846875
transcript.pyannote[562].speaker SPEAKER_01
transcript.pyannote[562].start 3792.34971875
transcript.pyannote[562].end 3799.75784375
transcript.pyannote[563].speaker SPEAKER_01
transcript.pyannote[563].start 3799.96034375
transcript.pyannote[563].end 3801.56346875
transcript.pyannote[564].speaker SPEAKER_01
transcript.pyannote[564].start 3801.86721875
transcript.pyannote[564].end 3810.15284375
transcript.pyannote[565].speaker SPEAKER_01
transcript.pyannote[565].start 3810.62534375
transcript.pyannote[565].end 3814.33784375
transcript.pyannote[566].speaker SPEAKER_01
transcript.pyannote[566].start 3814.67534375
transcript.pyannote[566].end 3855.66471875
transcript.pyannote[567].speaker SPEAKER_01
transcript.pyannote[567].start 3856.13721875
transcript.pyannote[567].end 3862.73534375
transcript.pyannote[568].speaker SPEAKER_01
transcript.pyannote[568].start 3863.00534375
transcript.pyannote[568].end 3864.06846875
transcript.pyannote[569].speaker SPEAKER_01
transcript.pyannote[569].start 3864.57471875
transcript.pyannote[569].end 3884.18346875
transcript.pyannote[570].speaker SPEAKER_01
transcript.pyannote[570].start 3884.26784375
transcript.pyannote[570].end 3894.94971875
transcript.pyannote[571].speaker SPEAKER_01
transcript.pyannote[571].start 3895.77659375
transcript.pyannote[571].end 3902.59409375
transcript.pyannote[572].speaker SPEAKER_01
transcript.pyannote[572].start 3903.25221875
transcript.pyannote[572].end 3904.18034375
transcript.pyannote[573].speaker SPEAKER_01
transcript.pyannote[573].start 3904.38284375
transcript.pyannote[573].end 3910.82909375
transcript.pyannote[574].speaker SPEAKER_01
transcript.pyannote[574].start 3911.13284375
transcript.pyannote[574].end 3915.04784375
transcript.pyannote[575].speaker SPEAKER_01
transcript.pyannote[575].start 3915.53721875
transcript.pyannote[575].end 3926.03346875
transcript.pyannote[576].speaker SPEAKER_01
transcript.pyannote[576].start 3927.45096875
transcript.pyannote[576].end 3928.61534375
transcript.pyannote[577].speaker SPEAKER_01
transcript.pyannote[577].start 3928.95284375
transcript.pyannote[577].end 3939.44909375
transcript.pyannote[578].speaker SPEAKER_01
transcript.pyannote[578].start 3940.32659375
transcript.pyannote[578].end 3945.94596875
transcript.pyannote[579].speaker SPEAKER_01
transcript.pyannote[579].start 3946.43534375
transcript.pyannote[579].end 3960.20534375
transcript.pyannote[580].speaker SPEAKER_01
transcript.pyannote[580].start 3960.34034375
transcript.pyannote[580].end 3961.31909375
transcript.pyannote[581].speaker SPEAKER_01
transcript.pyannote[581].start 3961.58909375
transcript.pyannote[581].end 3964.17096875
transcript.pyannote[582].speaker SPEAKER_01
transcript.pyannote[582].start 3964.55909375
transcript.pyannote[582].end 3968.86221875
transcript.pyannote[583].speaker SPEAKER_01
transcript.pyannote[583].start 3969.18284375
transcript.pyannote[583].end 3974.81909375
transcript.pyannote[584].speaker SPEAKER_01
transcript.pyannote[584].start 3975.39284375
transcript.pyannote[584].end 3979.24034375
transcript.pyannote[585].speaker SPEAKER_01
transcript.pyannote[585].start 3979.81409375
transcript.pyannote[585].end 3981.06284375
transcript.pyannote[586].speaker SPEAKER_01
transcript.pyannote[586].start 3981.40034375
transcript.pyannote[586].end 3991.62659375
transcript.pyannote[587].speaker SPEAKER_01
transcript.pyannote[587].start 3992.77409375
transcript.pyannote[587].end 4001.04284375
transcript.pyannote[588].speaker SPEAKER_01
transcript.pyannote[588].start 4001.61659375
transcript.pyannote[588].end 4002.73034375
transcript.pyannote[589].speaker SPEAKER_01
transcript.pyannote[589].start 4003.21971875
transcript.pyannote[589].end 4004.24909375
transcript.pyannote[590].speaker SPEAKER_01
transcript.pyannote[590].start 4004.53596875
transcript.pyannote[590].end 4004.95784375
transcript.pyannote[591].speaker SPEAKER_01
transcript.pyannote[591].start 4005.17721875
transcript.pyannote[591].end 4009.54784375
transcript.pyannote[592].speaker SPEAKER_01
transcript.pyannote[592].start 4009.80096875
transcript.pyannote[592].end 4011.91034375
transcript.pyannote[593].speaker SPEAKER_01
transcript.pyannote[593].start 4012.09596875
transcript.pyannote[593].end 4012.11284375
transcript.pyannote[594].speaker SPEAKER_01
transcript.pyannote[594].start 4012.12971875
transcript.pyannote[594].end 4012.95659375
transcript.pyannote[595].speaker SPEAKER_01
transcript.pyannote[595].start 4013.69909375
transcript.pyannote[595].end 4018.01909375
transcript.pyannote[596].speaker SPEAKER_01
transcript.pyannote[596].start 4018.59284375
transcript.pyannote[596].end 4023.67221875
transcript.pyannote[597].speaker SPEAKER_01
transcript.pyannote[597].start 4023.94221875
transcript.pyannote[597].end 4026.91221875
transcript.pyannote[598].speaker SPEAKER_01
transcript.pyannote[598].start 4027.43534375
transcript.pyannote[598].end 4031.06346875
transcript.pyannote[599].speaker SPEAKER_01
transcript.pyannote[599].start 4032.49784375
transcript.pyannote[599].end 4035.53534375
transcript.pyannote[600].speaker SPEAKER_01
transcript.pyannote[600].start 4035.92346875
transcript.pyannote[600].end 4039.26471875
transcript.pyannote[601].speaker SPEAKER_01
transcript.pyannote[601].start 4039.73721875
transcript.pyannote[601].end 4047.55034375
transcript.pyannote[602].speaker SPEAKER_01
transcript.pyannote[602].start 4047.78659375
transcript.pyannote[602].end 4062.01221875
transcript.pyannote[603].speaker SPEAKER_01
transcript.pyannote[603].start 4062.77159375
transcript.pyannote[603].end 4082.31284375
transcript.pyannote[604].speaker SPEAKER_01
transcript.pyannote[604].start 4082.59971875
transcript.pyannote[604].end 4083.05534375
transcript.pyannote[605].speaker SPEAKER_01
transcript.pyannote[605].start 4083.34221875
transcript.pyannote[605].end 4084.91159375
transcript.pyannote[606].speaker SPEAKER_01
transcript.pyannote[606].start 4085.67096875
transcript.pyannote[606].end 4088.43846875
transcript.pyannote[607].speaker SPEAKER_01
transcript.pyannote[607].start 4088.96159375
transcript.pyannote[607].end 4097.33159375
transcript.pyannote[608].speaker SPEAKER_01
transcript.pyannote[608].start 4097.46659375
transcript.pyannote[608].end 4138.52346875
transcript.pyannote[609].speaker SPEAKER_01
transcript.pyannote[609].start 4139.04659375
transcript.pyannote[609].end 4139.62034375
transcript.pyannote[610].speaker SPEAKER_01
transcript.pyannote[610].start 4139.87346875
transcript.pyannote[610].end 4144.39596875
transcript.pyannote[611].speaker SPEAKER_01
transcript.pyannote[611].start 4144.80096875
transcript.pyannote[611].end 4148.88471875
transcript.pyannote[612].speaker SPEAKER_01
transcript.pyannote[612].start 4149.28971875
transcript.pyannote[612].end 4151.60159375
transcript.pyannote[613].speaker SPEAKER_01
transcript.pyannote[613].start 4151.77034375
transcript.pyannote[613].end 4152.19221875
transcript.pyannote[614].speaker SPEAKER_01
transcript.pyannote[614].start 4152.22596875
transcript.pyannote[614].end 4163.92034375
transcript.pyannote[615].speaker SPEAKER_01
transcript.pyannote[615].start 4164.03846875
transcript.pyannote[615].end 4164.07221875
transcript.pyannote[616].speaker SPEAKER_01
transcript.pyannote[616].start 4164.24096875
transcript.pyannote[616].end 4165.57409375
transcript.pyannote[617].speaker SPEAKER_19
transcript.pyannote[617].start 4166.92409375
transcript.pyannote[617].end 4170.31596875
transcript.pyannote[618].speaker SPEAKER_19
transcript.pyannote[618].start 4173.08346875
transcript.pyannote[618].end 4174.73721875
transcript.pyannote[619].speaker SPEAKER_19
transcript.pyannote[619].start 4175.42909375
transcript.pyannote[619].end 4176.37409375
transcript.pyannote[620].speaker SPEAKER_19
transcript.pyannote[620].start 4176.84659375
transcript.pyannote[620].end 4179.42846875
transcript.pyannote[621].speaker SPEAKER_09
transcript.pyannote[621].start 4193.45159375
transcript.pyannote[621].end 4195.59471875
transcript.pyannote[622].speaker SPEAKER_09
transcript.pyannote[622].start 4195.96596875
transcript.pyannote[622].end 4198.98659375
transcript.pyannote[623].speaker SPEAKER_09
transcript.pyannote[623].start 4199.27346875
transcript.pyannote[623].end 4207.15409375
transcript.pyannote[624].speaker SPEAKER_09
transcript.pyannote[624].start 4207.57596875
transcript.pyannote[624].end 4211.03534375
transcript.pyannote[625].speaker SPEAKER_09
transcript.pyannote[625].start 4211.87909375
transcript.pyannote[625].end 4231.85909375
transcript.pyannote[626].speaker SPEAKER_09
transcript.pyannote[626].start 4232.60159375
transcript.pyannote[626].end 4249.07159375
transcript.pyannote[627].speaker SPEAKER_09
transcript.pyannote[627].start 4249.45971875
transcript.pyannote[627].end 4262.04846875
transcript.pyannote[628].speaker SPEAKER_09
transcript.pyannote[628].start 4262.79096875
transcript.pyannote[628].end 4267.78596875
transcript.pyannote[629].speaker SPEAKER_09
transcript.pyannote[629].start 4267.93784375
transcript.pyannote[629].end 4291.39409375
transcript.pyannote[630].speaker SPEAKER_09
transcript.pyannote[630].start 4292.05221875
transcript.pyannote[630].end 4296.01784375
transcript.pyannote[631].speaker SPEAKER_09
transcript.pyannote[631].start 4296.22034375
transcript.pyannote[631].end 4316.97659375
transcript.pyannote[632].speaker SPEAKER_09
transcript.pyannote[632].start 4317.51659375
transcript.pyannote[632].end 4328.46846875
transcript.pyannote[633].speaker SPEAKER_09
transcript.pyannote[633].start 4328.92409375
transcript.pyannote[633].end 4331.35409375
transcript.pyannote[634].speaker SPEAKER_09
transcript.pyannote[634].start 4331.75909375
transcript.pyannote[634].end 4334.79659375
transcript.pyannote[635].speaker SPEAKER_09
transcript.pyannote[635].start 4335.18471875
transcript.pyannote[635].end 4336.93971875
transcript.pyannote[636].speaker SPEAKER_09
transcript.pyannote[636].start 4337.56409375
transcript.pyannote[636].end 4337.86784375
transcript.pyannote[637].speaker SPEAKER_09
transcript.pyannote[637].start 4338.52596875
transcript.pyannote[637].end 4346.64284375
transcript.pyannote[638].speaker SPEAKER_09
transcript.pyannote[638].start 4346.87909375
transcript.pyannote[638].end 4347.18284375
transcript.pyannote[639].speaker SPEAKER_09
transcript.pyannote[639].start 4347.58784375
transcript.pyannote[639].end 4370.72346875
transcript.pyannote[640].speaker SPEAKER_09
transcript.pyannote[640].start 4370.87534375
transcript.pyannote[640].end 4372.12409375
transcript.pyannote[641].speaker SPEAKER_09
transcript.pyannote[641].start 4372.54596875
transcript.pyannote[641].end 4376.61284375
transcript.pyannote[642].speaker SPEAKER_09
transcript.pyannote[642].start 4377.33846875
transcript.pyannote[642].end 4379.93721875
transcript.pyannote[643].speaker SPEAKER_09
transcript.pyannote[643].start 4380.46034375
transcript.pyannote[643].end 4382.04659375
transcript.pyannote[644].speaker SPEAKER_09
transcript.pyannote[644].start 4382.36721875
transcript.pyannote[644].end 4383.91971875
transcript.pyannote[645].speaker SPEAKER_09
transcript.pyannote[645].start 4384.34159375
transcript.pyannote[645].end 4385.62409375
transcript.pyannote[646].speaker SPEAKER_09
transcript.pyannote[646].start 4386.09659375
transcript.pyannote[646].end 4388.88096875
transcript.pyannote[647].speaker SPEAKER_09
transcript.pyannote[647].start 4388.98221875
transcript.pyannote[647].end 4391.10846875
transcript.pyannote[648].speaker SPEAKER_09
transcript.pyannote[648].start 4391.27721875
transcript.pyannote[648].end 4391.91846875
transcript.pyannote[649].speaker SPEAKER_09
transcript.pyannote[649].start 4392.50909375
transcript.pyannote[649].end 4393.65659375
transcript.pyannote[650].speaker SPEAKER_09
transcript.pyannote[650].start 4394.70284375
transcript.pyannote[650].end 4397.62221875
transcript.pyannote[651].speaker SPEAKER_09
transcript.pyannote[651].start 4397.97659375
transcript.pyannote[651].end 4399.12409375
transcript.pyannote[652].speaker SPEAKER_09
transcript.pyannote[652].start 4399.57971875
transcript.pyannote[652].end 4417.36596875
transcript.pyannote[653].speaker SPEAKER_09
transcript.pyannote[653].start 4417.72034375
transcript.pyannote[653].end 4419.76221875
transcript.pyannote[654].speaker SPEAKER_09
transcript.pyannote[654].start 4420.31909375
transcript.pyannote[654].end 4440.31596875
transcript.pyannote[655].speaker SPEAKER_09
transcript.pyannote[655].start 4440.77159375
transcript.pyannote[655].end 4449.27659375
transcript.pyannote[656].speaker SPEAKER_09
transcript.pyannote[656].start 4449.54659375
transcript.pyannote[656].end 4455.57096875
transcript.pyannote[657].speaker SPEAKER_09
transcript.pyannote[657].start 4455.90846875
transcript.pyannote[657].end 4455.97596875
transcript.pyannote[658].speaker SPEAKER_09
transcript.pyannote[658].start 4456.04346875
transcript.pyannote[658].end 4473.44159375
transcript.pyannote[659].speaker SPEAKER_09
transcript.pyannote[659].start 4473.57659375
transcript.pyannote[659].end 4474.15034375
transcript.pyannote[660].speaker SPEAKER_09
transcript.pyannote[660].start 4474.23471875
transcript.pyannote[660].end 4475.48346875
transcript.pyannote[661].speaker SPEAKER_09
transcript.pyannote[661].start 4475.93909375
transcript.pyannote[661].end 4480.03971875
transcript.pyannote[662].speaker SPEAKER_09
transcript.pyannote[662].start 4480.73159375
transcript.pyannote[662].end 4482.67221875
transcript.pyannote[663].speaker SPEAKER_09
transcript.pyannote[663].start 4483.26284375
transcript.pyannote[663].end 4488.07221875
transcript.pyannote[664].speaker SPEAKER_09
transcript.pyannote[664].start 4489.72596875
transcript.pyannote[664].end 4497.87659375
transcript.pyannote[665].speaker SPEAKER_09
transcript.pyannote[665].start 4498.04534375
transcript.pyannote[665].end 4503.54659375
transcript.pyannote[666].speaker SPEAKER_09
transcript.pyannote[666].start 4504.06971875
transcript.pyannote[666].end 4506.73596875
transcript.pyannote[667].speaker SPEAKER_09
transcript.pyannote[667].start 4507.51221875
transcript.pyannote[667].end 4512.20346875
transcript.pyannote[668].speaker SPEAKER_09
transcript.pyannote[668].start 4512.54096875
transcript.pyannote[668].end 4512.87846875
transcript.pyannote[669].speaker SPEAKER_09
transcript.pyannote[669].start 4513.40159375
transcript.pyannote[669].end 4515.59534375
transcript.pyannote[670].speaker SPEAKER_19
transcript.pyannote[670].start 4516.55721875
transcript.pyannote[670].end 4517.56971875
transcript.pyannote[671].speaker SPEAKER_19
transcript.pyannote[671].start 4517.68784375
transcript.pyannote[671].end 4520.62409375
transcript.pyannote[672].speaker SPEAKER_19
transcript.pyannote[672].start 4524.52221875
transcript.pyannote[672].end 4525.39971875
transcript.pyannote[673].speaker SPEAKER_19
transcript.pyannote[673].start 4526.51346875
transcript.pyannote[673].end 4527.39096875
transcript.pyannote[674].speaker SPEAKER_19
transcript.pyannote[674].start 4527.50909375
transcript.pyannote[674].end 4528.62284375
transcript.pyannote[675].speaker SPEAKER_16
transcript.pyannote[675].start 4551.80909375
transcript.pyannote[675].end 4555.65659375
transcript.pyannote[676].speaker SPEAKER_16
transcript.pyannote[676].start 4556.16284375
transcript.pyannote[676].end 4558.12034375
transcript.pyannote[677].speaker SPEAKER_16
transcript.pyannote[677].start 4558.91346875
transcript.pyannote[677].end 4559.30159375
transcript.pyannote[678].speaker SPEAKER_16
transcript.pyannote[678].start 4559.97659375
transcript.pyannote[678].end 4563.50346875
transcript.pyannote[679].speaker SPEAKER_16
transcript.pyannote[679].start 4564.44846875
transcript.pyannote[679].end 4570.01721875
transcript.pyannote[680].speaker SPEAKER_16
transcript.pyannote[680].start 4570.59096875
transcript.pyannote[680].end 4571.29971875
transcript.pyannote[681].speaker SPEAKER_16
transcript.pyannote[681].start 4571.70471875
transcript.pyannote[681].end 4572.39659375
transcript.pyannote[682].speaker SPEAKER_16
transcript.pyannote[682].start 4572.97034375
transcript.pyannote[682].end 4577.23971875
transcript.pyannote[683].speaker SPEAKER_16
transcript.pyannote[683].start 4577.74596875
transcript.pyannote[683].end 4578.92721875
transcript.pyannote[684].speaker SPEAKER_16
transcript.pyannote[684].start 4580.10846875
transcript.pyannote[684].end 4581.86346875
transcript.pyannote[685].speaker SPEAKER_16
transcript.pyannote[685].start 4582.16721875
transcript.pyannote[685].end 4584.85034375
transcript.pyannote[686].speaker SPEAKER_16
transcript.pyannote[686].start 4585.23846875
transcript.pyannote[686].end 4589.49096875
transcript.pyannote[687].speaker SPEAKER_16
transcript.pyannote[687].start 4590.03096875
transcript.pyannote[687].end 4591.73534375
transcript.pyannote[688].speaker SPEAKER_16
transcript.pyannote[688].start 4592.47784375
transcript.pyannote[688].end 4595.14409375
transcript.pyannote[689].speaker SPEAKER_16
transcript.pyannote[689].start 4595.49846875
transcript.pyannote[689].end 4600.30784375
transcript.pyannote[690].speaker SPEAKER_16
transcript.pyannote[690].start 4600.96596875
transcript.pyannote[690].end 4610.16284375
transcript.pyannote[691].speaker SPEAKER_16
transcript.pyannote[691].start 4610.56784375
transcript.pyannote[691].end 4614.24659375
transcript.pyannote[692].speaker SPEAKER_16
transcript.pyannote[692].start 4614.93846875
transcript.pyannote[692].end 4616.23784375
transcript.pyannote[693].speaker SPEAKER_16
transcript.pyannote[693].start 4617.38534375
transcript.pyannote[693].end 4619.32596875
transcript.pyannote[694].speaker SPEAKER_16
transcript.pyannote[694].start 4619.98409375
transcript.pyannote[694].end 4620.79409375
transcript.pyannote[695].speaker SPEAKER_16
transcript.pyannote[695].start 4621.23284375
transcript.pyannote[695].end 4623.30846875
transcript.pyannote[696].speaker SPEAKER_16
transcript.pyannote[696].start 4623.88221875
transcript.pyannote[696].end 4625.99159375
transcript.pyannote[697].speaker SPEAKER_16
transcript.pyannote[697].start 4626.48096875
transcript.pyannote[697].end 4631.34096875
transcript.pyannote[698].speaker SPEAKER_16
transcript.pyannote[698].start 4632.06659375
transcript.pyannote[698].end 4635.15471875
transcript.pyannote[699].speaker SPEAKER_16
transcript.pyannote[699].start 4635.71159375
transcript.pyannote[699].end 4636.82534375
transcript.pyannote[700].speaker SPEAKER_16
transcript.pyannote[700].start 4637.21346875
transcript.pyannote[700].end 4643.82846875
transcript.pyannote[701].speaker SPEAKER_16
transcript.pyannote[701].start 4644.60471875
transcript.pyannote[701].end 4647.06846875
transcript.pyannote[702].speaker SPEAKER_16
transcript.pyannote[702].start 4647.54096875
transcript.pyannote[702].end 4649.34659375
transcript.pyannote[703].speaker SPEAKER_16
transcript.pyannote[703].start 4649.76846875
transcript.pyannote[703].end 4650.88221875
transcript.pyannote[704].speaker SPEAKER_16
transcript.pyannote[704].start 4652.02971875
transcript.pyannote[704].end 4652.80596875
transcript.pyannote[705].speaker SPEAKER_16
transcript.pyannote[705].start 4653.68346875
transcript.pyannote[705].end 4660.68659375
transcript.pyannote[706].speaker SPEAKER_16
transcript.pyannote[706].start 4662.05346875
transcript.pyannote[706].end 4662.67784375
transcript.pyannote[707].speaker SPEAKER_16
transcript.pyannote[707].start 4663.13346875
transcript.pyannote[707].end 4664.07846875
transcript.pyannote[708].speaker SPEAKER_16
transcript.pyannote[708].start 4664.36534375
transcript.pyannote[708].end 4666.44096875
transcript.pyannote[709].speaker SPEAKER_16
transcript.pyannote[709].start 4667.79096875
transcript.pyannote[709].end 4669.22534375
transcript.pyannote[710].speaker SPEAKER_16
transcript.pyannote[710].start 4670.60909375
transcript.pyannote[710].end 4676.05971875
transcript.pyannote[711].speaker SPEAKER_16
transcript.pyannote[711].start 4676.21159375
transcript.pyannote[711].end 4677.51096875
transcript.pyannote[712].speaker SPEAKER_16
transcript.pyannote[712].start 4679.24909375
transcript.pyannote[712].end 4681.30784375
transcript.pyannote[713].speaker SPEAKER_16
transcript.pyannote[713].start 4682.79284375
transcript.pyannote[713].end 4683.51846875
transcript.pyannote[714].speaker SPEAKER_16
transcript.pyannote[714].start 4683.99096875
transcript.pyannote[714].end 4687.97346875
transcript.pyannote[715].speaker SPEAKER_16
transcript.pyannote[715].start 4688.14221875
transcript.pyannote[715].end 4690.23471875
transcript.pyannote[716].speaker SPEAKER_16
transcript.pyannote[716].start 4690.90971875
transcript.pyannote[716].end 4691.60159375
transcript.pyannote[717].speaker SPEAKER_16
transcript.pyannote[717].start 4692.51284375
transcript.pyannote[717].end 4693.40721875
transcript.pyannote[718].speaker SPEAKER_16
transcript.pyannote[718].start 4694.68971875
transcript.pyannote[718].end 4695.07784375
transcript.pyannote[719].speaker SPEAKER_16
transcript.pyannote[719].start 4695.90471875
transcript.pyannote[719].end 4697.92971875
transcript.pyannote[720].speaker SPEAKER_16
transcript.pyannote[720].start 4698.28409375
transcript.pyannote[720].end 4698.90846875
transcript.pyannote[721].speaker SPEAKER_16
transcript.pyannote[721].start 4699.51596875
transcript.pyannote[721].end 4701.27096875
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 4702.01346875
transcript.pyannote[722].end 4704.66284375
transcript.pyannote[723].speaker SPEAKER_16
transcript.pyannote[723].start 4706.63721875
transcript.pyannote[723].end 4707.59909375
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 4708.15596875
transcript.pyannote[724].end 4710.04596875
transcript.pyannote[725].speaker SPEAKER_16
transcript.pyannote[725].start 4710.34971875
transcript.pyannote[725].end 4711.12596875
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 4712.10471875
transcript.pyannote[726].end 4713.21846875
transcript.pyannote[727].speaker SPEAKER_16
transcript.pyannote[727].start 4713.94409375
transcript.pyannote[727].end 4715.15909375
transcript.pyannote[728].speaker SPEAKER_16
transcript.pyannote[728].start 4715.37846875
transcript.pyannote[728].end 4716.22221875
transcript.pyannote[729].speaker SPEAKER_16
transcript.pyannote[729].start 4716.64409375
transcript.pyannote[729].end 4718.39909375
transcript.pyannote[730].speaker SPEAKER_16
transcript.pyannote[730].start 4720.47471875
transcript.pyannote[730].end 4722.61784375
transcript.pyannote[731].speaker SPEAKER_16
transcript.pyannote[731].start 4724.50784375
transcript.pyannote[731].end 4725.67221875
transcript.pyannote[732].speaker SPEAKER_16
transcript.pyannote[732].start 4727.34284375
transcript.pyannote[732].end 4728.49034375
transcript.pyannote[733].speaker SPEAKER_16
transcript.pyannote[733].start 4729.62096875
transcript.pyannote[733].end 4732.96221875
transcript.pyannote[734].speaker SPEAKER_16
transcript.pyannote[734].start 4733.75534375
transcript.pyannote[734].end 4734.26159375
transcript.pyannote[735].speaker SPEAKER_16
transcript.pyannote[735].start 4734.63284375
transcript.pyannote[735].end 4736.11784375
transcript.pyannote[736].speaker SPEAKER_16
transcript.pyannote[736].start 4736.33721875
transcript.pyannote[736].end 4737.75471875
transcript.pyannote[737].speaker SPEAKER_16
transcript.pyannote[737].start 4738.32846875
transcript.pyannote[737].end 4740.64034375
transcript.pyannote[738].speaker SPEAKER_16
transcript.pyannote[738].start 4741.18034375
transcript.pyannote[738].end 4743.03659375
transcript.pyannote[739].speaker SPEAKER_16
transcript.pyannote[739].start 4744.35284375
transcript.pyannote[739].end 4747.57596875
transcript.pyannote[740].speaker SPEAKER_16
transcript.pyannote[740].start 4748.08221875
transcript.pyannote[740].end 4748.85846875
transcript.pyannote[741].speaker SPEAKER_16
transcript.pyannote[741].start 4749.68534375
transcript.pyannote[741].end 4751.15346875
transcript.pyannote[742].speaker SPEAKER_16
transcript.pyannote[742].start 4752.01409375
transcript.pyannote[742].end 4752.94221875
transcript.pyannote[743].speaker SPEAKER_16
transcript.pyannote[743].start 4754.20784375
transcript.pyannote[743].end 4755.50721875
transcript.pyannote[744].speaker SPEAKER_16
transcript.pyannote[744].start 4756.35096875
transcript.pyannote[744].end 4758.10596875
transcript.pyannote[745].speaker SPEAKER_16
transcript.pyannote[745].start 4759.33784375
transcript.pyannote[745].end 4759.77659375
transcript.pyannote[746].speaker SPEAKER_16
transcript.pyannote[746].start 4761.32909375
transcript.pyannote[746].end 4761.68346875
transcript.pyannote[747].speaker SPEAKER_16
transcript.pyannote[747].start 4762.20659375
transcript.pyannote[747].end 4764.99096875
transcript.pyannote[748].speaker SPEAKER_16
transcript.pyannote[748].start 4765.98659375
transcript.pyannote[748].end 4766.52659375
transcript.pyannote[749].speaker SPEAKER_16
transcript.pyannote[749].start 4767.01596875
transcript.pyannote[749].end 4767.52221875
transcript.pyannote[750].speaker SPEAKER_16
transcript.pyannote[750].start 4768.01159375
transcript.pyannote[750].end 4772.50034375
transcript.pyannote[751].speaker SPEAKER_16
transcript.pyannote[751].start 4773.58034375
transcript.pyannote[751].end 4777.68096875
transcript.pyannote[752].speaker SPEAKER_16
transcript.pyannote[752].start 4778.49096875
transcript.pyannote[752].end 4781.34284375
transcript.pyannote[753].speaker SPEAKER_16
transcript.pyannote[753].start 4781.83221875
transcript.pyannote[753].end 4782.99659375
transcript.pyannote[754].speaker SPEAKER_16
transcript.pyannote[754].start 4783.38471875
transcript.pyannote[754].end 4788.07596875
transcript.pyannote[755].speaker SPEAKER_16
transcript.pyannote[755].start 4788.75096875
transcript.pyannote[755].end 4789.88159375
transcript.pyannote[756].speaker SPEAKER_16
transcript.pyannote[756].start 4790.72534375
transcript.pyannote[756].end 4791.60284375
transcript.pyannote[757].speaker SPEAKER_16
transcript.pyannote[757].start 4792.42971875
transcript.pyannote[757].end 4792.88534375
transcript.pyannote[758].speaker SPEAKER_16
transcript.pyannote[758].start 4793.30721875
transcript.pyannote[758].end 4794.08346875
transcript.pyannote[759].speaker SPEAKER_16
transcript.pyannote[759].start 4795.85534375
transcript.pyannote[759].end 4797.93096875
transcript.pyannote[760].speaker SPEAKER_16
transcript.pyannote[760].start 4798.50471875
transcript.pyannote[760].end 4799.63534375
transcript.pyannote[761].speaker SPEAKER_16
transcript.pyannote[761].start 4800.34409375
transcript.pyannote[761].end 4805.69346875
transcript.pyannote[762].speaker SPEAKER_16
transcript.pyannote[762].start 4807.11096875
transcript.pyannote[762].end 4811.34659375
transcript.pyannote[763].speaker SPEAKER_16
transcript.pyannote[763].start 4812.69659375
transcript.pyannote[763].end 4817.11784375
transcript.pyannote[764].speaker SPEAKER_16
transcript.pyannote[764].start 4817.84346875
transcript.pyannote[764].end 4818.72096875
transcript.pyannote[765].speaker SPEAKER_16
transcript.pyannote[765].start 4818.80534375
transcript.pyannote[765].end 4823.05784375
transcript.pyannote[766].speaker SPEAKER_16
transcript.pyannote[766].start 4824.94784375
transcript.pyannote[766].end 4826.12909375
transcript.pyannote[767].speaker SPEAKER_16
transcript.pyannote[767].start 4826.58471875
transcript.pyannote[767].end 4828.64346875
transcript.pyannote[768].speaker SPEAKER_16
transcript.pyannote[768].start 4828.91346875
transcript.pyannote[768].end 4830.31409375
transcript.pyannote[769].speaker SPEAKER_16
transcript.pyannote[769].start 4830.68534375
transcript.pyannote[769].end 4832.59221875
transcript.pyannote[770].speaker SPEAKER_16
transcript.pyannote[770].start 4832.79471875
transcript.pyannote[770].end 4833.80721875
transcript.pyannote[771].speaker SPEAKER_16
transcript.pyannote[771].start 4834.75221875
transcript.pyannote[771].end 4838.63346875
transcript.pyannote[772].speaker SPEAKER_16
transcript.pyannote[772].start 4839.20721875
transcript.pyannote[772].end 4842.19409375
transcript.pyannote[773].speaker SPEAKER_16
transcript.pyannote[773].start 4842.70034375
transcript.pyannote[773].end 4845.90659375
transcript.pyannote[774].speaker SPEAKER_16
transcript.pyannote[774].start 4846.66596875
transcript.pyannote[774].end 4847.62784375
transcript.pyannote[775].speaker SPEAKER_16
transcript.pyannote[775].start 4848.40409375
transcript.pyannote[775].end 4849.90596875
transcript.pyannote[776].speaker SPEAKER_16
transcript.pyannote[776].start 4852.09971875
transcript.pyannote[776].end 4853.12909375
transcript.pyannote[777].speaker SPEAKER_16
transcript.pyannote[777].start 4855.30596875
transcript.pyannote[777].end 4856.35221875
transcript.pyannote[778].speaker SPEAKER_16
transcript.pyannote[778].start 4857.88784375
transcript.pyannote[778].end 4860.38534375
transcript.pyannote[779].speaker SPEAKER_16
transcript.pyannote[779].start 4861.76909375
transcript.pyannote[779].end 4863.86159375
transcript.pyannote[780].speaker SPEAKER_16
transcript.pyannote[780].start 4864.33409375
transcript.pyannote[780].end 4865.81909375
transcript.pyannote[781].speaker SPEAKER_16
transcript.pyannote[781].start 4866.83159375
transcript.pyannote[781].end 4868.18159375
transcript.pyannote[782].speaker SPEAKER_16
transcript.pyannote[782].start 4869.04221875
transcript.pyannote[782].end 4870.45971875
transcript.pyannote[783].speaker SPEAKER_16
transcript.pyannote[783].start 4870.54409375
transcript.pyannote[783].end 4872.65346875
transcript.pyannote[784].speaker SPEAKER_16
transcript.pyannote[784].start 4873.36221875
transcript.pyannote[784].end 4877.12534375
transcript.pyannote[785].speaker SPEAKER_16
transcript.pyannote[785].start 4877.96909375
transcript.pyannote[785].end 4885.73159375
transcript.pyannote[786].speaker SPEAKER_19
transcript.pyannote[786].start 4886.50784375
transcript.pyannote[786].end 4889.03909375
transcript.pyannote[787].speaker SPEAKER_19
transcript.pyannote[787].start 4892.78534375
transcript.pyannote[787].end 4893.54471875
transcript.pyannote[788].speaker SPEAKER_19
transcript.pyannote[788].start 4894.03409375
transcript.pyannote[788].end 4896.54846875
transcript.pyannote[789].speaker SPEAKER_19
transcript.pyannote[789].start 4896.71721875
transcript.pyannote[789].end 4897.98284375
transcript.pyannote[790].speaker SPEAKER_13
transcript.pyannote[790].start 4910.58846875
transcript.pyannote[790].end 4923.31221875
transcript.pyannote[791].speaker SPEAKER_00
transcript.pyannote[791].start 4915.90409375
transcript.pyannote[791].end 4915.98846875
transcript.pyannote[792].speaker SPEAKER_13
transcript.pyannote[792].start 4923.91971875
transcript.pyannote[792].end 4926.40034375
transcript.pyannote[793].speaker SPEAKER_13
transcript.pyannote[793].start 4926.50159375
transcript.pyannote[793].end 4933.92659375
transcript.pyannote[794].speaker SPEAKER_13
transcript.pyannote[794].start 4934.21346875
transcript.pyannote[794].end 4938.36471875
transcript.pyannote[795].speaker SPEAKER_13
transcript.pyannote[795].start 4938.76971875
transcript.pyannote[795].end 4942.61721875
transcript.pyannote[796].speaker SPEAKER_13
transcript.pyannote[796].start 4942.92096875
transcript.pyannote[796].end 4943.98409375
transcript.pyannote[797].speaker SPEAKER_13
transcript.pyannote[797].start 4944.35534375
transcript.pyannote[797].end 4945.82346875
transcript.pyannote[798].speaker SPEAKER_13
transcript.pyannote[798].start 4945.89096875
transcript.pyannote[798].end 4950.56534375
transcript.pyannote[799].speaker SPEAKER_13
transcript.pyannote[799].start 4950.73409375
transcript.pyannote[799].end 4964.79096875
transcript.pyannote[800].speaker SPEAKER_13
transcript.pyannote[800].start 4964.92596875
transcript.pyannote[800].end 4970.52846875
transcript.pyannote[801].speaker SPEAKER_13
transcript.pyannote[801].start 4970.68034375
transcript.pyannote[801].end 4972.33409375
transcript.pyannote[802].speaker SPEAKER_13
transcript.pyannote[802].start 4972.68846875
transcript.pyannote[802].end 4973.07659375
transcript.pyannote[803].speaker SPEAKER_13
transcript.pyannote[803].start 4973.46471875
transcript.pyannote[803].end 4974.49409375
transcript.pyannote[804].speaker SPEAKER_13
transcript.pyannote[804].start 4974.91596875
transcript.pyannote[804].end 4975.28721875
transcript.pyannote[805].speaker SPEAKER_13
transcript.pyannote[805].start 4976.09721875
transcript.pyannote[805].end 4978.20659375
transcript.pyannote[806].speaker SPEAKER_13
transcript.pyannote[806].start 4978.67909375
transcript.pyannote[806].end 4979.08409375
transcript.pyannote[807].speaker SPEAKER_13
transcript.pyannote[807].start 4979.48909375
transcript.pyannote[807].end 4980.88971875
transcript.pyannote[808].speaker SPEAKER_13
transcript.pyannote[808].start 4981.26096875
transcript.pyannote[808].end 4985.80034375
transcript.pyannote[809].speaker SPEAKER_13
transcript.pyannote[809].start 4986.22221875
transcript.pyannote[809].end 4986.89721875
transcript.pyannote[810].speaker SPEAKER_13
transcript.pyannote[810].start 4988.17971875
transcript.pyannote[810].end 4988.66909375
transcript.pyannote[811].speaker SPEAKER_13
transcript.pyannote[811].start 4990.99784375
transcript.pyannote[811].end 4991.03159375
transcript.pyannote[812].speaker SPEAKER_13
transcript.pyannote[812].start 4992.55034375
transcript.pyannote[812].end 4994.06909375
transcript.pyannote[813].speaker SPEAKER_13
transcript.pyannote[813].start 4994.77784375
transcript.pyannote[813].end 4995.21659375
transcript.pyannote[814].speaker SPEAKER_13
transcript.pyannote[814].start 5001.22409375
transcript.pyannote[814].end 5001.93284375
transcript.pyannote[815].speaker SPEAKER_13
transcript.pyannote[815].start 5002.97909375
transcript.pyannote[815].end 5010.11721875
transcript.pyannote[816].speaker SPEAKER_13
transcript.pyannote[816].start 5010.75846875
transcript.pyannote[816].end 5012.49659375
transcript.pyannote[817].speaker SPEAKER_13
transcript.pyannote[817].start 5013.30659375
transcript.pyannote[817].end 5015.29784375
transcript.pyannote[818].speaker SPEAKER_13
transcript.pyannote[818].start 5015.83784375
transcript.pyannote[818].end 5017.06971875
transcript.pyannote[819].speaker SPEAKER_13
transcript.pyannote[819].start 5017.25534375
transcript.pyannote[819].end 5023.14471875
transcript.pyannote[820].speaker SPEAKER_13
transcript.pyannote[820].start 5024.03909375
transcript.pyannote[820].end 5025.45659375
transcript.pyannote[821].speaker SPEAKER_13
transcript.pyannote[821].start 5026.40159375
transcript.pyannote[821].end 5028.15659375
transcript.pyannote[822].speaker SPEAKER_13
transcript.pyannote[822].start 5029.01721875
transcript.pyannote[822].end 5032.78034375
transcript.pyannote[823].speaker SPEAKER_13
transcript.pyannote[823].start 5033.08409375
transcript.pyannote[823].end 5034.48471875
transcript.pyannote[824].speaker SPEAKER_13
transcript.pyannote[824].start 5034.73784375
transcript.pyannote[824].end 5035.91909375
transcript.pyannote[825].speaker SPEAKER_13
transcript.pyannote[825].start 5036.23971875
transcript.pyannote[825].end 5039.71596875
transcript.pyannote[826].speaker SPEAKER_13
transcript.pyannote[826].start 5040.05346875
transcript.pyannote[826].end 5045.60534375
transcript.pyannote[827].speaker SPEAKER_13
transcript.pyannote[827].start 5046.66846875
transcript.pyannote[827].end 5049.58784375
transcript.pyannote[828].speaker SPEAKER_13
transcript.pyannote[828].start 5049.82409375
transcript.pyannote[828].end 5068.80846875
transcript.pyannote[829].speaker SPEAKER_13
transcript.pyannote[829].start 5069.51721875
transcript.pyannote[829].end 5075.44034375
transcript.pyannote[830].speaker SPEAKER_13
transcript.pyannote[830].start 5076.77346875
transcript.pyannote[830].end 5077.17846875
transcript.pyannote[831].speaker SPEAKER_13
transcript.pyannote[831].start 5078.56221875
transcript.pyannote[831].end 5080.72221875
transcript.pyannote[832].speaker SPEAKER_13
transcript.pyannote[832].start 5081.09346875
transcript.pyannote[832].end 5083.00034375
transcript.pyannote[833].speaker SPEAKER_13
transcript.pyannote[833].start 5083.89471875
transcript.pyannote[833].end 5084.53596875
transcript.pyannote[834].speaker SPEAKER_13
transcript.pyannote[834].start 5084.94096875
transcript.pyannote[834].end 5085.93659375
transcript.pyannote[835].speaker SPEAKER_13
transcript.pyannote[835].start 5086.42596875
transcript.pyannote[835].end 5087.28659375
transcript.pyannote[836].speaker SPEAKER_13
transcript.pyannote[836].start 5088.31596875
transcript.pyannote[836].end 5089.27784375
transcript.pyannote[837].speaker SPEAKER_13
transcript.pyannote[837].start 5090.13846875
transcript.pyannote[837].end 5090.84721875
transcript.pyannote[838].speaker SPEAKER_13
transcript.pyannote[838].start 5091.30284375
transcript.pyannote[838].end 5092.31534375
transcript.pyannote[839].speaker SPEAKER_13
transcript.pyannote[839].start 5092.58534375
transcript.pyannote[839].end 5103.41909375
transcript.pyannote[840].speaker SPEAKER_13
transcript.pyannote[840].start 5103.92534375
transcript.pyannote[840].end 5105.39346875
transcript.pyannote[841].speaker SPEAKER_13
transcript.pyannote[841].start 5105.62971875
transcript.pyannote[841].end 5106.65909375
transcript.pyannote[842].speaker SPEAKER_13
transcript.pyannote[842].start 5106.92909375
transcript.pyannote[842].end 5107.58721875
transcript.pyannote[843].speaker SPEAKER_13
transcript.pyannote[843].start 5108.59971875
transcript.pyannote[843].end 5110.69221875
transcript.pyannote[844].speaker SPEAKER_13
transcript.pyannote[844].start 5111.04659375
transcript.pyannote[844].end 5115.21471875
transcript.pyannote[845].speaker SPEAKER_13
transcript.pyannote[845].start 5115.77159375
transcript.pyannote[845].end 5118.57284375
transcript.pyannote[846].speaker SPEAKER_13
transcript.pyannote[846].start 5118.75846875
transcript.pyannote[846].end 5124.44534375
transcript.pyannote[847].speaker SPEAKER_13
transcript.pyannote[847].start 5124.61409375
transcript.pyannote[847].end 5125.77846875
transcript.pyannote[848].speaker SPEAKER_13
transcript.pyannote[848].start 5126.35221875
transcript.pyannote[848].end 5127.41534375
transcript.pyannote[849].speaker SPEAKER_13
transcript.pyannote[849].start 5127.92159375
transcript.pyannote[849].end 5128.96784375
transcript.pyannote[850].speaker SPEAKER_13
transcript.pyannote[850].start 5129.33909375
transcript.pyannote[850].end 5130.08159375
transcript.pyannote[851].speaker SPEAKER_13
transcript.pyannote[851].start 5130.23346875
transcript.pyannote[851].end 5131.76909375
transcript.pyannote[852].speaker SPEAKER_13
transcript.pyannote[852].start 5132.44409375
transcript.pyannote[852].end 5133.22034375
transcript.pyannote[853].speaker SPEAKER_13
transcript.pyannote[853].start 5133.65909375
transcript.pyannote[853].end 5138.35034375
transcript.pyannote[854].speaker SPEAKER_13
transcript.pyannote[854].start 5139.44721875
transcript.pyannote[854].end 5140.57784375
transcript.pyannote[855].speaker SPEAKER_13
transcript.pyannote[855].start 5141.37096875
transcript.pyannote[855].end 5142.73784375
transcript.pyannote[856].speaker SPEAKER_13
transcript.pyannote[856].start 5143.00784375
transcript.pyannote[856].end 5146.01159375
transcript.pyannote[857].speaker SPEAKER_13
transcript.pyannote[857].start 5146.72034375
transcript.pyannote[857].end 5151.15846875
transcript.pyannote[858].speaker SPEAKER_13
transcript.pyannote[858].start 5152.86284375
transcript.pyannote[858].end 5156.81159375
transcript.pyannote[859].speaker SPEAKER_13
transcript.pyannote[859].start 5157.52034375
transcript.pyannote[859].end 5161.78971875
transcript.pyannote[860].speaker SPEAKER_13
transcript.pyannote[860].start 5162.05971875
transcript.pyannote[860].end 5163.98346875
transcript.pyannote[861].speaker SPEAKER_13
transcript.pyannote[861].start 5165.13096875
transcript.pyannote[861].end 5167.59471875
transcript.pyannote[862].speaker SPEAKER_13
transcript.pyannote[862].start 5168.28659375
transcript.pyannote[862].end 5169.24846875
transcript.pyannote[863].speaker SPEAKER_13
transcript.pyannote[863].start 5169.48471875
transcript.pyannote[863].end 5172.52221875
transcript.pyannote[864].speaker SPEAKER_13
transcript.pyannote[864].start 5173.82159375
transcript.pyannote[864].end 5178.79971875
transcript.pyannote[865].speaker SPEAKER_13
transcript.pyannote[865].start 5179.32284375
transcript.pyannote[865].end 5181.83721875
transcript.pyannote[866].speaker SPEAKER_13
transcript.pyannote[866].start 5181.85409375
transcript.pyannote[866].end 5184.26721875
transcript.pyannote[867].speaker SPEAKER_13
transcript.pyannote[867].start 5185.11096875
transcript.pyannote[867].end 5186.54534375
transcript.pyannote[868].speaker SPEAKER_13
transcript.pyannote[868].start 5187.05159375
transcript.pyannote[868].end 5189.17784375
transcript.pyannote[869].speaker SPEAKER_13
transcript.pyannote[869].start 5189.76846875
transcript.pyannote[869].end 5193.68346875
transcript.pyannote[870].speaker SPEAKER_13
transcript.pyannote[870].start 5194.22346875
transcript.pyannote[870].end 5194.98284375
transcript.pyannote[871].speaker SPEAKER_13
transcript.pyannote[871].start 5195.53971875
transcript.pyannote[871].end 5197.04159375
transcript.pyannote[872].speaker SPEAKER_13
transcript.pyannote[872].start 5198.00346875
transcript.pyannote[872].end 5198.93159375
transcript.pyannote[873].speaker SPEAKER_13
transcript.pyannote[873].start 5199.25221875
transcript.pyannote[873].end 5200.73721875
transcript.pyannote[874].speaker SPEAKER_13
transcript.pyannote[874].start 5201.41221875
transcript.pyannote[874].end 5202.64409375
transcript.pyannote[875].speaker SPEAKER_13
transcript.pyannote[875].start 5205.78284375
transcript.pyannote[875].end 5208.36471875
transcript.pyannote[876].speaker SPEAKER_13
transcript.pyannote[876].start 5208.76971875
transcript.pyannote[876].end 5209.81596875
transcript.pyannote[877].speaker SPEAKER_13
transcript.pyannote[877].start 5209.96784375
transcript.pyannote[877].end 5211.36846875
transcript.pyannote[878].speaker SPEAKER_13
transcript.pyannote[878].start 5211.72284375
transcript.pyannote[878].end 5212.68471875
transcript.pyannote[879].speaker SPEAKER_13
transcript.pyannote[879].start 5213.62971875
transcript.pyannote[879].end 5214.40596875
transcript.pyannote[880].speaker SPEAKER_13
transcript.pyannote[880].start 5214.87846875
transcript.pyannote[880].end 5216.17784375
transcript.pyannote[881].speaker SPEAKER_13
transcript.pyannote[881].start 5216.63346875
transcript.pyannote[881].end 5218.06784375
transcript.pyannote[882].speaker SPEAKER_13
transcript.pyannote[882].start 5218.30409375
transcript.pyannote[882].end 5219.90721875
transcript.pyannote[883].speaker SPEAKER_13
transcript.pyannote[883].start 5219.97471875
transcript.pyannote[883].end 5221.00409375
transcript.pyannote[884].speaker SPEAKER_13
transcript.pyannote[884].start 5221.62846875
transcript.pyannote[884].end 5222.69159375
transcript.pyannote[885].speaker SPEAKER_13
transcript.pyannote[885].start 5223.31596875
transcript.pyannote[885].end 5224.37909375
transcript.pyannote[886].speaker SPEAKER_13
transcript.pyannote[886].start 5224.98659375
transcript.pyannote[886].end 5226.47159375
transcript.pyannote[887].speaker SPEAKER_13
transcript.pyannote[887].start 5226.77534375
transcript.pyannote[887].end 5227.38284375
transcript.pyannote[888].speaker SPEAKER_13
transcript.pyannote[888].start 5227.53471875
transcript.pyannote[888].end 5229.22221875
transcript.pyannote[889].speaker SPEAKER_13
transcript.pyannote[889].start 5229.82971875
transcript.pyannote[889].end 5230.58909375
transcript.pyannote[890].speaker SPEAKER_13
transcript.pyannote[890].start 5231.17971875
transcript.pyannote[890].end 5231.70284375
transcript.pyannote[891].speaker SPEAKER_13
transcript.pyannote[891].start 5232.10784375
transcript.pyannote[891].end 5234.06534375
transcript.pyannote[892].speaker SPEAKER_13
transcript.pyannote[892].start 5234.41971875
transcript.pyannote[892].end 5234.75721875
transcript.pyannote[893].speaker SPEAKER_13
transcript.pyannote[893].start 5235.66846875
transcript.pyannote[893].end 5236.10721875
transcript.pyannote[894].speaker SPEAKER_13
transcript.pyannote[894].start 5236.66409375
transcript.pyannote[894].end 5237.22096875
transcript.pyannote[895].speaker SPEAKER_13
transcript.pyannote[895].start 5237.92971875
transcript.pyannote[895].end 5238.85784375
transcript.pyannote[896].speaker SPEAKER_13
transcript.pyannote[896].start 5239.58346875
transcript.pyannote[896].end 5240.32596875
transcript.pyannote[897].speaker SPEAKER_13
transcript.pyannote[897].start 5240.66346875
transcript.pyannote[897].end 5242.11471875
transcript.pyannote[898].speaker SPEAKER_13
transcript.pyannote[898].start 5242.48596875
transcript.pyannote[898].end 5243.16096875
transcript.pyannote[899].speaker SPEAKER_13
transcript.pyannote[899].start 5243.46471875
transcript.pyannote[899].end 5244.93284375
transcript.pyannote[900].speaker SPEAKER_13
transcript.pyannote[900].start 5245.32096875
transcript.pyannote[900].end 5246.16471875
transcript.pyannote[901].speaker SPEAKER_13
transcript.pyannote[901].start 5246.45159375
transcript.pyannote[901].end 5247.02534375
transcript.pyannote[902].speaker SPEAKER_13
transcript.pyannote[902].start 5247.44721875
transcript.pyannote[902].end 5248.94909375
transcript.pyannote[903].speaker SPEAKER_13
transcript.pyannote[903].start 5249.32034375
transcript.pyannote[903].end 5250.02909375
transcript.pyannote[904].speaker SPEAKER_13
transcript.pyannote[904].start 5250.07971875
transcript.pyannote[904].end 5251.73346875
transcript.pyannote[905].speaker SPEAKER_13
transcript.pyannote[905].start 5252.22284375
transcript.pyannote[905].end 5253.10034375
transcript.pyannote[906].speaker SPEAKER_13
transcript.pyannote[906].start 5253.28596875
transcript.pyannote[906].end 5254.01159375
transcript.pyannote[907].speaker SPEAKER_13
transcript.pyannote[907].start 5254.38284375
transcript.pyannote[907].end 5257.16721875
transcript.pyannote[908].speaker SPEAKER_13
transcript.pyannote[908].start 5257.28534375
transcript.pyannote[908].end 5259.00659375
transcript.pyannote[909].speaker SPEAKER_13
transcript.pyannote[909].start 5259.41159375
transcript.pyannote[909].end 5259.71534375
transcript.pyannote[910].speaker SPEAKER_13
transcript.pyannote[910].start 5260.08659375
transcript.pyannote[910].end 5261.03159375
transcript.pyannote[911].speaker SPEAKER_13
transcript.pyannote[911].start 5261.25096875
transcript.pyannote[911].end 5263.05659375
transcript.pyannote[912].speaker SPEAKER_13
transcript.pyannote[912].start 5263.25909375
transcript.pyannote[912].end 5264.06909375
transcript.pyannote[913].speaker SPEAKER_13
transcript.pyannote[913].start 5265.21659375
transcript.pyannote[913].end 5267.47784375
transcript.pyannote[914].speaker SPEAKER_13
transcript.pyannote[914].start 5268.57471875
transcript.pyannote[914].end 5269.24971875
transcript.pyannote[915].speaker SPEAKER_13
transcript.pyannote[915].start 5269.78971875
transcript.pyannote[915].end 5270.44784375
transcript.pyannote[916].speaker SPEAKER_13
transcript.pyannote[916].start 5270.92034375
transcript.pyannote[916].end 5276.32034375
transcript.pyannote[917].speaker SPEAKER_13
transcript.pyannote[917].start 5276.89409375
transcript.pyannote[917].end 5280.11721875
transcript.pyannote[918].speaker SPEAKER_13
transcript.pyannote[918].start 5280.31971875
transcript.pyannote[918].end 5281.26471875
transcript.pyannote[919].speaker SPEAKER_13
transcript.pyannote[919].start 5282.29409375
transcript.pyannote[919].end 5287.01909375
transcript.pyannote[920].speaker SPEAKER_13
transcript.pyannote[920].start 5288.82471875
transcript.pyannote[920].end 5289.88784375
transcript.pyannote[921].speaker SPEAKER_13
transcript.pyannote[921].start 5290.32659375
transcript.pyannote[921].end 5291.27159375
transcript.pyannote[922].speaker SPEAKER_13
transcript.pyannote[922].start 5291.33909375
transcript.pyannote[922].end 5292.52034375
transcript.pyannote[923].speaker SPEAKER_13
transcript.pyannote[923].start 5292.95909375
transcript.pyannote[923].end 5293.29659375
transcript.pyannote[924].speaker SPEAKER_13
transcript.pyannote[924].start 5293.61721875
transcript.pyannote[924].end 5295.08534375
transcript.pyannote[925].speaker SPEAKER_13
transcript.pyannote[925].start 5296.53659375
transcript.pyannote[925].end 5297.11034375
transcript.pyannote[926].speaker SPEAKER_13
transcript.pyannote[926].start 5297.80221875
transcript.pyannote[926].end 5298.15659375
transcript.pyannote[927].speaker SPEAKER_13
transcript.pyannote[927].start 5298.46034375
transcript.pyannote[927].end 5299.21971875
transcript.pyannote[928].speaker SPEAKER_13
transcript.pyannote[928].start 5300.11409375
transcript.pyannote[928].end 5300.85659375
transcript.pyannote[929].speaker SPEAKER_13
transcript.pyannote[929].start 5301.78471875
transcript.pyannote[929].end 5302.47659375
transcript.pyannote[930].speaker SPEAKER_13
transcript.pyannote[930].start 5303.35409375
transcript.pyannote[930].end 5304.34971875
transcript.pyannote[931].speaker SPEAKER_13
transcript.pyannote[931].start 5304.48471875
transcript.pyannote[931].end 5305.14284375
transcript.pyannote[932].speaker SPEAKER_13
transcript.pyannote[932].start 5305.56471875
transcript.pyannote[932].end 5306.56034375
transcript.pyannote[933].speaker SPEAKER_13
transcript.pyannote[933].start 5307.10034375
transcript.pyannote[933].end 5308.09596875
transcript.pyannote[934].speaker SPEAKER_13
transcript.pyannote[934].start 5308.88909375
transcript.pyannote[934].end 5309.74971875
transcript.pyannote[935].speaker SPEAKER_13
transcript.pyannote[935].start 5310.22221875
transcript.pyannote[935].end 5312.80409375
transcript.pyannote[936].speaker SPEAKER_13
transcript.pyannote[936].start 5313.19221875
transcript.pyannote[936].end 5314.23846875
transcript.pyannote[937].speaker SPEAKER_13
transcript.pyannote[937].start 5314.59284375
transcript.pyannote[937].end 5319.75659375
transcript.pyannote[938].speaker SPEAKER_13
transcript.pyannote[938].start 5320.09409375
transcript.pyannote[938].end 5321.00534375
transcript.pyannote[939].speaker SPEAKER_13
transcript.pyannote[939].start 5321.66346875
transcript.pyannote[939].end 5322.50721875
transcript.pyannote[940].speaker SPEAKER_13
transcript.pyannote[940].start 5322.87846875
transcript.pyannote[940].end 5324.43096875
transcript.pyannote[941].speaker SPEAKER_13
transcript.pyannote[941].start 5325.05534375
transcript.pyannote[941].end 5326.89471875
transcript.pyannote[942].speaker SPEAKER_13
transcript.pyannote[942].start 5327.80596875
transcript.pyannote[942].end 5332.22721875
transcript.pyannote[943].speaker SPEAKER_13
transcript.pyannote[943].start 5332.61534375
transcript.pyannote[943].end 5333.66159375
transcript.pyannote[944].speaker SPEAKER_13
transcript.pyannote[944].start 5335.39971875
transcript.pyannote[944].end 5337.17159375
transcript.pyannote[945].speaker SPEAKER_13
transcript.pyannote[945].start 5337.66096875
transcript.pyannote[945].end 5339.66909375
transcript.pyannote[946].speaker SPEAKER_13
transcript.pyannote[946].start 5340.07409375
transcript.pyannote[946].end 5345.33909375
transcript.pyannote[947].speaker SPEAKER_13
transcript.pyannote[947].start 5347.46534375
transcript.pyannote[947].end 5348.03909375
transcript.pyannote[948].speaker SPEAKER_13
transcript.pyannote[948].start 5348.44409375
transcript.pyannote[948].end 5349.64221875
transcript.pyannote[949].speaker SPEAKER_13
transcript.pyannote[949].start 5349.96284375
transcript.pyannote[949].end 5352.76409375
transcript.pyannote[950].speaker SPEAKER_13
transcript.pyannote[950].start 5353.27034375
transcript.pyannote[950].end 5355.49784375
transcript.pyannote[951].speaker SPEAKER_13
transcript.pyannote[951].start 5356.47659375
transcript.pyannote[951].end 5362.87221875
transcript.pyannote[952].speaker SPEAKER_13
transcript.pyannote[952].start 5363.56409375
transcript.pyannote[952].end 5366.04471875
transcript.pyannote[953].speaker SPEAKER_13
transcript.pyannote[953].start 5366.19659375
transcript.pyannote[953].end 5366.77034375
transcript.pyannote[954].speaker SPEAKER_13
transcript.pyannote[954].start 5367.10784375
transcript.pyannote[954].end 5368.22159375
transcript.pyannote[955].speaker SPEAKER_13
transcript.pyannote[955].start 5368.67721875
transcript.pyannote[955].end 5369.45346875
transcript.pyannote[956].speaker SPEAKER_13
transcript.pyannote[956].start 5370.09471875
transcript.pyannote[956].end 5373.92534375
transcript.pyannote[957].speaker SPEAKER_13
transcript.pyannote[957].start 5374.17846875
transcript.pyannote[957].end 5376.52409375
transcript.pyannote[958].speaker SPEAKER_13
transcript.pyannote[958].start 5377.38471875
transcript.pyannote[958].end 5379.15659375
transcript.pyannote[959].speaker SPEAKER_13
transcript.pyannote[959].start 5379.74721875
transcript.pyannote[959].end 5380.77659375
transcript.pyannote[960].speaker SPEAKER_13
transcript.pyannote[960].start 5381.14784375
transcript.pyannote[960].end 5381.67096875
transcript.pyannote[961].speaker SPEAKER_13
transcript.pyannote[961].start 5382.46409375
transcript.pyannote[961].end 5383.02096875
transcript.pyannote[962].speaker SPEAKER_13
transcript.pyannote[962].start 5383.59471875
transcript.pyannote[962].end 5384.11784375
transcript.pyannote[963].speaker SPEAKER_13
transcript.pyannote[963].start 5386.09221875
transcript.pyannote[963].end 5387.67846875
transcript.pyannote[964].speaker SPEAKER_13
transcript.pyannote[964].start 5388.03284375
transcript.pyannote[964].end 5388.70784375
transcript.pyannote[965].speaker SPEAKER_13
transcript.pyannote[965].start 5389.19721875
transcript.pyannote[965].end 5389.80471875
transcript.pyannote[966].speaker SPEAKER_13
transcript.pyannote[966].start 5390.53034375
transcript.pyannote[966].end 5391.22221875
transcript.pyannote[967].speaker SPEAKER_13
transcript.pyannote[967].start 5392.03221875
transcript.pyannote[967].end 5392.84221875
transcript.pyannote[968].speaker SPEAKER_13
transcript.pyannote[968].start 5393.17971875
transcript.pyannote[968].end 5395.55909375
transcript.pyannote[969].speaker SPEAKER_13
transcript.pyannote[969].start 5395.94721875
transcript.pyannote[969].end 5397.43221875
transcript.pyannote[970].speaker SPEAKER_13
transcript.pyannote[970].start 5397.51659375
transcript.pyannote[970].end 5399.81159375
transcript.pyannote[971].speaker SPEAKER_13
transcript.pyannote[971].start 5403.20346875
transcript.pyannote[971].end 5405.53221875
transcript.pyannote[972].speaker SPEAKER_13
transcript.pyannote[972].start 5406.13971875
transcript.pyannote[972].end 5407.54034375
transcript.pyannote[973].speaker SPEAKER_13
transcript.pyannote[973].start 5408.04659375
transcript.pyannote[973].end 5408.80596875
transcript.pyannote[974].speaker SPEAKER_13
transcript.pyannote[974].start 5409.31221875
transcript.pyannote[974].end 5411.28659375
transcript.pyannote[975].speaker SPEAKER_13
transcript.pyannote[975].start 5411.65784375
transcript.pyannote[975].end 5413.04159375
transcript.pyannote[976].speaker SPEAKER_13
transcript.pyannote[976].start 5414.34096875
transcript.pyannote[976].end 5414.81346875
transcript.pyannote[977].speaker SPEAKER_13
transcript.pyannote[977].start 5415.33659375
transcript.pyannote[977].end 5416.58534375
transcript.pyannote[978].speaker SPEAKER_13
transcript.pyannote[978].start 5417.54721875
transcript.pyannote[978].end 5418.12096875
transcript.pyannote[979].speaker SPEAKER_13
transcript.pyannote[979].start 5419.45409375
transcript.pyannote[979].end 5420.06159375
transcript.pyannote[980].speaker SPEAKER_13
transcript.pyannote[980].start 5420.09534375
transcript.pyannote[980].end 5421.07409375
transcript.pyannote[981].speaker SPEAKER_13
transcript.pyannote[981].start 5421.59721875
transcript.pyannote[981].end 5422.28909375
transcript.pyannote[982].speaker SPEAKER_13
transcript.pyannote[982].start 5422.55909375
transcript.pyannote[982].end 5423.75721875
transcript.pyannote[983].speaker SPEAKER_13
transcript.pyannote[983].start 5426.08596875
transcript.pyannote[983].end 5426.89596875
transcript.pyannote[984].speaker SPEAKER_13
transcript.pyannote[984].start 5427.97596875
transcript.pyannote[984].end 5428.54971875
transcript.pyannote[985].speaker SPEAKER_13
transcript.pyannote[985].start 5428.95471875
transcript.pyannote[985].end 5430.32159375
transcript.pyannote[986].speaker SPEAKER_13
transcript.pyannote[986].start 5430.76034375
transcript.pyannote[986].end 5431.94159375
transcript.pyannote[987].speaker SPEAKER_13
transcript.pyannote[987].start 5432.27909375
transcript.pyannote[987].end 5433.13971875
transcript.pyannote[988].speaker SPEAKER_13
transcript.pyannote[988].start 5433.74721875
transcript.pyannote[988].end 5434.08471875
transcript.pyannote[989].speaker SPEAKER_13
transcript.pyannote[989].start 5434.32096875
transcript.pyannote[989].end 5435.95784375
transcript.pyannote[990].speaker SPEAKER_13
transcript.pyannote[990].start 5436.49784375
transcript.pyannote[990].end 5437.98284375
transcript.pyannote[991].speaker SPEAKER_13
transcript.pyannote[991].start 5440.80096875
transcript.pyannote[991].end 5441.54346875
transcript.pyannote[992].speaker SPEAKER_13
transcript.pyannote[992].start 5441.98221875
transcript.pyannote[992].end 5443.41659375
transcript.pyannote[993].speaker SPEAKER_13
transcript.pyannote[993].start 5443.78784375
transcript.pyannote[993].end 5444.54721875
transcript.pyannote[994].speaker SPEAKER_13
transcript.pyannote[994].start 5444.73284375
transcript.pyannote[994].end 5446.50471875
transcript.pyannote[995].speaker SPEAKER_13
transcript.pyannote[995].start 5446.77471875
transcript.pyannote[995].end 5449.98096875
transcript.pyannote[996].speaker SPEAKER_13
transcript.pyannote[996].start 5450.74034375
transcript.pyannote[996].end 5456.00534375
transcript.pyannote[997].speaker SPEAKER_13
transcript.pyannote[997].start 5456.32596875
transcript.pyannote[997].end 5458.85721875
transcript.pyannote[998].speaker SPEAKER_13
transcript.pyannote[998].start 5459.19471875
transcript.pyannote[998].end 5461.37159375
transcript.pyannote[999].speaker SPEAKER_13
transcript.pyannote[999].start 5461.91159375
transcript.pyannote[999].end 5463.39659375
transcript.pyannote[1000].speaker SPEAKER_13
transcript.pyannote[1000].start 5464.93221875
transcript.pyannote[1000].end 5466.26534375
transcript.pyannote[1001].speaker SPEAKER_13
transcript.pyannote[1001].start 5467.12596875
transcript.pyannote[1001].end 5470.04534375
transcript.pyannote[1002].speaker SPEAKER_13
transcript.pyannote[1002].start 5472.40784375
transcript.pyannote[1002].end 5473.70721875
transcript.pyannote[1003].speaker SPEAKER_13
transcript.pyannote[1003].start 5473.82534375
transcript.pyannote[1003].end 5474.77034375
transcript.pyannote[1004].speaker SPEAKER_13
transcript.pyannote[1004].start 5475.36096875
transcript.pyannote[1004].end 5476.47471875
transcript.pyannote[1005].speaker SPEAKER_13
transcript.pyannote[1005].start 5477.04846875
transcript.pyannote[1005].end 5477.89221875
transcript.pyannote[1006].speaker SPEAKER_13
transcript.pyannote[1006].start 5478.24659375
transcript.pyannote[1006].end 5480.32221875
transcript.pyannote[1007].speaker SPEAKER_13
transcript.pyannote[1007].start 5480.91284375
transcript.pyannote[1007].end 5481.65534375
transcript.pyannote[1008].speaker SPEAKER_13
transcript.pyannote[1008].start 5482.95471875
transcript.pyannote[1008].end 5484.22034375
transcript.pyannote[1009].speaker SPEAKER_13
transcript.pyannote[1009].start 5486.04284375
transcript.pyannote[1009].end 5486.61659375
transcript.pyannote[1010].speaker SPEAKER_13
transcript.pyannote[1010].start 5487.29159375
transcript.pyannote[1010].end 5487.81471875
transcript.pyannote[1011].speaker SPEAKER_13
transcript.pyannote[1011].start 5488.32096875
transcript.pyannote[1011].end 5489.14784375
transcript.pyannote[1012].speaker SPEAKER_13
transcript.pyannote[1012].start 5489.73846875
transcript.pyannote[1012].end 5490.83534375
transcript.pyannote[1013].speaker SPEAKER_13
transcript.pyannote[1013].start 5491.20659375
transcript.pyannote[1013].end 5492.28659375
transcript.pyannote[1014].speaker SPEAKER_13
transcript.pyannote[1014].start 5492.69159375
transcript.pyannote[1014].end 5494.36221875
transcript.pyannote[1015].speaker SPEAKER_13
transcript.pyannote[1015].start 5496.23534375
transcript.pyannote[1015].end 5496.89346875
transcript.pyannote[1016].speaker SPEAKER_13
transcript.pyannote[1016].start 5497.02846875
transcript.pyannote[1016].end 5497.75409375
transcript.pyannote[1017].speaker SPEAKER_13
transcript.pyannote[1017].start 5498.26034375
transcript.pyannote[1017].end 5500.25159375
transcript.pyannote[1018].speaker SPEAKER_13
transcript.pyannote[1018].start 5501.75346875
transcript.pyannote[1018].end 5504.65596875
transcript.pyannote[1019].speaker SPEAKER_13
transcript.pyannote[1019].start 5504.67284375
transcript.pyannote[1019].end 5505.90471875
transcript.pyannote[1020].speaker SPEAKER_13
transcript.pyannote[1020].start 5506.32659375
transcript.pyannote[1020].end 5507.01846875
transcript.pyannote[1021].speaker SPEAKER_13
transcript.pyannote[1021].start 5507.37284375
transcript.pyannote[1021].end 5510.49471875
transcript.pyannote[1022].speaker SPEAKER_13
transcript.pyannote[1022].start 5511.38909375
transcript.pyannote[1022].end 5513.00909375
transcript.pyannote[1023].speaker SPEAKER_13
transcript.pyannote[1023].start 5513.58284375
transcript.pyannote[1023].end 5516.33346875
transcript.pyannote[1024].speaker SPEAKER_13
transcript.pyannote[1024].start 5516.58659375
transcript.pyannote[1024].end 5518.10534375
transcript.pyannote[1025].speaker SPEAKER_13
transcript.pyannote[1025].start 5519.10096875
transcript.pyannote[1025].end 5519.65784375
transcript.pyannote[1026].speaker SPEAKER_13
transcript.pyannote[1026].start 5520.83909375
transcript.pyannote[1026].end 5522.17221875
transcript.pyannote[1027].speaker SPEAKER_13
transcript.pyannote[1027].start 5523.06659375
transcript.pyannote[1027].end 5524.12971875
transcript.pyannote[1028].speaker SPEAKER_13
transcript.pyannote[1028].start 5524.92284375
transcript.pyannote[1028].end 5525.85096875
transcript.pyannote[1029].speaker SPEAKER_13
transcript.pyannote[1029].start 5526.47534375
transcript.pyannote[1029].end 5527.72409375
transcript.pyannote[1030].speaker SPEAKER_13
transcript.pyannote[1030].start 5527.94346875
transcript.pyannote[1030].end 5528.95596875
transcript.pyannote[1031].speaker SPEAKER_13
transcript.pyannote[1031].start 5532.53346875
transcript.pyannote[1031].end 5532.88784375
transcript.pyannote[1032].speaker SPEAKER_13
transcript.pyannote[1032].start 5533.09034375
transcript.pyannote[1032].end 5536.63409375
transcript.pyannote[1033].speaker SPEAKER_13
transcript.pyannote[1033].start 5537.24159375
transcript.pyannote[1033].end 5538.57471875
transcript.pyannote[1034].speaker SPEAKER_13
transcript.pyannote[1034].start 5539.01346875
transcript.pyannote[1034].end 5541.12284375
transcript.pyannote[1035].speaker SPEAKER_13
transcript.pyannote[1035].start 5541.67971875
transcript.pyannote[1035].end 5547.43409375
transcript.pyannote[1036].speaker SPEAKER_13
transcript.pyannote[1036].start 5547.67034375
transcript.pyannote[1036].end 5548.48034375
transcript.pyannote[1037].speaker SPEAKER_13
transcript.pyannote[1037].start 5548.71659375
transcript.pyannote[1037].end 5549.86409375
transcript.pyannote[1038].speaker SPEAKER_13
transcript.pyannote[1038].start 5549.94846875
transcript.pyannote[1038].end 5552.34471875
transcript.pyannote[1039].speaker SPEAKER_13
transcript.pyannote[1039].start 5553.07034375
transcript.pyannote[1039].end 5554.28534375
transcript.pyannote[1040].speaker SPEAKER_13
transcript.pyannote[1040].start 5554.52159375
transcript.pyannote[1040].end 5558.55471875
transcript.pyannote[1041].speaker SPEAKER_13
transcript.pyannote[1041].start 5558.99346875
transcript.pyannote[1041].end 5560.76534375
transcript.pyannote[1042].speaker SPEAKER_13
transcript.pyannote[1042].start 5564.37659375
transcript.pyannote[1042].end 5565.79409375
transcript.pyannote[1043].speaker SPEAKER_13
transcript.pyannote[1043].start 5566.14846875
transcript.pyannote[1043].end 5569.54034375
transcript.pyannote[1044].speaker SPEAKER_13
transcript.pyannote[1044].start 5570.63721875
transcript.pyannote[1044].end 5570.89034375
transcript.pyannote[1045].speaker SPEAKER_13
transcript.pyannote[1045].start 5571.61596875
transcript.pyannote[1045].end 5572.29096875
transcript.pyannote[1046].speaker SPEAKER_13
transcript.pyannote[1046].start 5572.57784375
transcript.pyannote[1046].end 5573.01659375
transcript.pyannote[1047].speaker SPEAKER_13
transcript.pyannote[1047].start 5573.62409375
transcript.pyannote[1047].end 5573.89409375
transcript.pyannote[1048].speaker SPEAKER_13
transcript.pyannote[1048].start 5574.21471875
transcript.pyannote[1048].end 5574.88971875
transcript.pyannote[1049].speaker SPEAKER_13
transcript.pyannote[1049].start 5576.34096875
transcript.pyannote[1049].end 5577.20159375
transcript.pyannote[1050].speaker SPEAKER_13
transcript.pyannote[1050].start 5577.50534375
transcript.pyannote[1050].end 5578.09596875
transcript.pyannote[1051].speaker SPEAKER_13
transcript.pyannote[1051].start 5578.43346875
transcript.pyannote[1051].end 5580.03659375
transcript.pyannote[1052].speaker SPEAKER_13
transcript.pyannote[1052].start 5580.72846875
transcript.pyannote[1052].end 5583.81659375
transcript.pyannote[1053].speaker SPEAKER_13
transcript.pyannote[1053].start 5583.86721875
transcript.pyannote[1053].end 5586.19596875
transcript.pyannote[1054].speaker SPEAKER_13
transcript.pyannote[1054].start 5586.46596875
transcript.pyannote[1054].end 5588.65971875
transcript.pyannote[1055].speaker SPEAKER_13
transcript.pyannote[1055].start 5589.68909375
transcript.pyannote[1055].end 5591.37659375
transcript.pyannote[1056].speaker SPEAKER_13
transcript.pyannote[1056].start 5591.96721875
transcript.pyannote[1056].end 5593.04721875
transcript.pyannote[1057].speaker SPEAKER_13
transcript.pyannote[1057].start 5593.73909375
transcript.pyannote[1057].end 5595.03846875
transcript.pyannote[1058].speaker SPEAKER_13
transcript.pyannote[1058].start 5595.56159375
transcript.pyannote[1058].end 5596.86096875
transcript.pyannote[1059].speaker SPEAKER_13
transcript.pyannote[1059].start 5597.40096875
transcript.pyannote[1059].end 5599.20659375
transcript.pyannote[1060].speaker SPEAKER_13
transcript.pyannote[1060].start 5599.51034375
transcript.pyannote[1060].end 5601.36659375
transcript.pyannote[1061].speaker SPEAKER_13
transcript.pyannote[1061].start 5601.88971875
transcript.pyannote[1061].end 5603.25659375
transcript.pyannote[1062].speaker SPEAKER_13
transcript.pyannote[1062].start 5603.88096875
transcript.pyannote[1062].end 5604.94409375
transcript.pyannote[1063].speaker SPEAKER_13
transcript.pyannote[1063].start 5605.11284375
transcript.pyannote[1063].end 5605.97346875
transcript.pyannote[1064].speaker SPEAKER_13
transcript.pyannote[1064].start 5606.26034375
transcript.pyannote[1064].end 5607.30659375
transcript.pyannote[1065].speaker SPEAKER_13
transcript.pyannote[1065].start 5609.61846875
transcript.pyannote[1065].end 5611.74471875
transcript.pyannote[1066].speaker SPEAKER_13
transcript.pyannote[1066].start 5612.26784375
transcript.pyannote[1066].end 5613.70221875
transcript.pyannote[1067].speaker SPEAKER_13
transcript.pyannote[1067].start 5614.64721875
transcript.pyannote[1067].end 5615.40659375
transcript.pyannote[1068].speaker SPEAKER_13
transcript.pyannote[1068].start 5616.82409375
transcript.pyannote[1068].end 5619.08534375
transcript.pyannote[1069].speaker SPEAKER_13
transcript.pyannote[1069].start 5619.15284375
transcript.pyannote[1069].end 5624.38409375
transcript.pyannote[1070].speaker SPEAKER_13
transcript.pyannote[1070].start 5624.95784375
transcript.pyannote[1070].end 5627.35409375
transcript.pyannote[1071].speaker SPEAKER_13
transcript.pyannote[1071].start 5627.50596875
transcript.pyannote[1071].end 5632.09596875
transcript.pyannote[1072].speaker SPEAKER_13
transcript.pyannote[1072].start 5633.34471875
transcript.pyannote[1072].end 5637.07409375
transcript.pyannote[1073].speaker SPEAKER_13
transcript.pyannote[1073].start 5637.22596875
transcript.pyannote[1073].end 5638.23846875
transcript.pyannote[1074].speaker SPEAKER_13
transcript.pyannote[1074].start 5639.38596875
transcript.pyannote[1074].end 5643.01409375
transcript.pyannote[1075].speaker SPEAKER_13
transcript.pyannote[1075].start 5643.65534375
transcript.pyannote[1075].end 5644.73534375
transcript.pyannote[1076].speaker SPEAKER_13
transcript.pyannote[1076].start 5645.30909375
transcript.pyannote[1076].end 5647.30034375
transcript.pyannote[1077].speaker SPEAKER_13
transcript.pyannote[1077].start 5648.73471875
transcript.pyannote[1077].end 5649.66284375
transcript.pyannote[1078].speaker SPEAKER_13
transcript.pyannote[1078].start 5651.01284375
transcript.pyannote[1078].end 5653.30784375
transcript.pyannote[1079].speaker SPEAKER_13
transcript.pyannote[1079].start 5653.64534375
transcript.pyannote[1079].end 5655.23159375
transcript.pyannote[1080].speaker SPEAKER_13
transcript.pyannote[1080].start 5655.48471875
transcript.pyannote[1080].end 5656.56471875
transcript.pyannote[1081].speaker SPEAKER_13
transcript.pyannote[1081].start 5656.78409375
transcript.pyannote[1081].end 5657.89784375
transcript.pyannote[1082].speaker SPEAKER_13
transcript.pyannote[1082].start 5658.25221875
transcript.pyannote[1082].end 5660.20971875
transcript.pyannote[1083].speaker SPEAKER_13
transcript.pyannote[1083].start 5660.76659375
transcript.pyannote[1083].end 5663.31471875
transcript.pyannote[1084].speaker SPEAKER_13
transcript.pyannote[1084].start 5663.70284375
transcript.pyannote[1084].end 5664.64784375
transcript.pyannote[1085].speaker SPEAKER_13
transcript.pyannote[1085].start 5665.49159375
transcript.pyannote[1085].end 5666.50409375
transcript.pyannote[1086].speaker SPEAKER_13
transcript.pyannote[1086].start 5666.94284375
transcript.pyannote[1086].end 5667.90471875
transcript.pyannote[1087].speaker SPEAKER_13
transcript.pyannote[1087].start 5668.51221875
transcript.pyannote[1087].end 5669.47409375
transcript.pyannote[1088].speaker SPEAKER_13
transcript.pyannote[1088].start 5669.89596875
transcript.pyannote[1088].end 5670.97596875
transcript.pyannote[1089].speaker SPEAKER_13
transcript.pyannote[1089].start 5671.12784375
transcript.pyannote[1089].end 5673.49034375
transcript.pyannote[1090].speaker SPEAKER_13
transcript.pyannote[1090].start 5673.72659375
transcript.pyannote[1090].end 5675.26221875
transcript.pyannote[1091].speaker SPEAKER_13
transcript.pyannote[1091].start 5675.78534375
transcript.pyannote[1091].end 5676.67971875
transcript.pyannote[1092].speaker SPEAKER_13
transcript.pyannote[1092].start 5677.70909375
transcript.pyannote[1092].end 5680.02096875
transcript.pyannote[1093].speaker SPEAKER_13
transcript.pyannote[1093].start 5680.44284375
transcript.pyannote[1093].end 5682.50159375
transcript.pyannote[1094].speaker SPEAKER_13
transcript.pyannote[1094].start 5683.24409375
transcript.pyannote[1094].end 5684.03721875
transcript.pyannote[1095].speaker SPEAKER_13
transcript.pyannote[1095].start 5684.32409375
transcript.pyannote[1095].end 5685.33659375
transcript.pyannote[1096].speaker SPEAKER_13
transcript.pyannote[1096].start 5687.14221875
transcript.pyannote[1096].end 5687.58096875
transcript.pyannote[1097].speaker SPEAKER_13
transcript.pyannote[1097].start 5687.90159375
transcript.pyannote[1097].end 5689.23471875
transcript.pyannote[1098].speaker SPEAKER_13
transcript.pyannote[1098].start 5689.30221875
transcript.pyannote[1098].end 5690.12909375
transcript.pyannote[1099].speaker SPEAKER_13
transcript.pyannote[1099].start 5691.74909375
transcript.pyannote[1099].end 5692.27221875
transcript.pyannote[1100].speaker SPEAKER_13
transcript.pyannote[1100].start 5693.14971875
transcript.pyannote[1100].end 5694.53346875
transcript.pyannote[1101].speaker SPEAKER_13
transcript.pyannote[1101].start 5695.41096875
transcript.pyannote[1101].end 5696.74409375
transcript.pyannote[1102].speaker SPEAKER_13
transcript.pyannote[1102].start 5697.85784375
transcript.pyannote[1102].end 5702.81909375
transcript.pyannote[1103].speaker SPEAKER_13
transcript.pyannote[1103].start 5704.52346875
transcript.pyannote[1103].end 5704.97909375
transcript.pyannote[1104].speaker SPEAKER_13
transcript.pyannote[1104].start 5705.72159375
transcript.pyannote[1104].end 5707.00409375
transcript.pyannote[1105].speaker SPEAKER_13
transcript.pyannote[1105].start 5708.35409375
transcript.pyannote[1105].end 5709.85596875
transcript.pyannote[1106].speaker SPEAKER_13
transcript.pyannote[1106].start 5710.27784375
transcript.pyannote[1106].end 5712.16784375
transcript.pyannote[1107].speaker SPEAKER_13
transcript.pyannote[1107].start 5713.68659375
transcript.pyannote[1107].end 5715.25596875
transcript.pyannote[1108].speaker SPEAKER_13
transcript.pyannote[1108].start 5716.16721875
transcript.pyannote[1108].end 5717.41596875
transcript.pyannote[1109].speaker SPEAKER_13
transcript.pyannote[1109].start 5717.95596875
transcript.pyannote[1109].end 5718.73221875
transcript.pyannote[1110].speaker SPEAKER_13
transcript.pyannote[1110].start 5720.16659375
transcript.pyannote[1110].end 5721.04409375
transcript.pyannote[1111].speaker SPEAKER_13
transcript.pyannote[1111].start 5721.53346875
transcript.pyannote[1111].end 5722.81596875
transcript.pyannote[1112].speaker SPEAKER_13
transcript.pyannote[1112].start 5724.68909375
transcript.pyannote[1112].end 5725.29659375
transcript.pyannote[1113].speaker SPEAKER_13
transcript.pyannote[1113].start 5725.76909375
transcript.pyannote[1113].end 5726.61284375
transcript.pyannote[1114].speaker SPEAKER_13
transcript.pyannote[1114].start 5727.08534375
transcript.pyannote[1114].end 5727.84471875
transcript.pyannote[1115].speaker SPEAKER_13
transcript.pyannote[1115].start 5728.62096875
transcript.pyannote[1115].end 5730.25784375
transcript.pyannote[1116].speaker SPEAKER_13
transcript.pyannote[1116].start 5731.10159375
transcript.pyannote[1116].end 5732.06346875
transcript.pyannote[1117].speaker SPEAKER_13
transcript.pyannote[1117].start 5732.89034375
transcript.pyannote[1117].end 5733.51471875
transcript.pyannote[1118].speaker SPEAKER_13
transcript.pyannote[1118].start 5734.40909375
transcript.pyannote[1118].end 5737.66596875
transcript.pyannote[1119].speaker SPEAKER_13
transcript.pyannote[1119].start 5738.08784375
transcript.pyannote[1119].end 5738.69534375
transcript.pyannote[1120].speaker SPEAKER_13
transcript.pyannote[1120].start 5739.82596875
transcript.pyannote[1120].end 5740.39971875
transcript.pyannote[1121].speaker SPEAKER_13
transcript.pyannote[1121].start 5740.66971875
transcript.pyannote[1121].end 5741.09159375
transcript.pyannote[1122].speaker SPEAKER_13
transcript.pyannote[1122].start 5742.17159375
transcript.pyannote[1122].end 5743.33596875
transcript.pyannote[1123].speaker SPEAKER_13
transcript.pyannote[1123].start 5746.54221875
transcript.pyannote[1123].end 5747.94284375
transcript.pyannote[1124].speaker SPEAKER_13
transcript.pyannote[1124].start 5749.07346875
transcript.pyannote[1124].end 5749.63034375
transcript.pyannote[1125].speaker SPEAKER_13
transcript.pyannote[1125].start 5750.72721875
transcript.pyannote[1125].end 5752.12784375
transcript.pyannote[1126].speaker SPEAKER_13
transcript.pyannote[1126].start 5752.97159375
transcript.pyannote[1126].end 5754.84471875
transcript.pyannote[1127].speaker SPEAKER_13
transcript.pyannote[1127].start 5755.43534375
transcript.pyannote[1127].end 5756.83596875
transcript.pyannote[1128].speaker SPEAKER_13
transcript.pyannote[1128].start 5757.22409375
transcript.pyannote[1128].end 5758.72596875
transcript.pyannote[1129].speaker SPEAKER_13
transcript.pyannote[1129].start 5760.24471875
transcript.pyannote[1129].end 5761.54409375
transcript.pyannote[1130].speaker SPEAKER_13
transcript.pyannote[1130].start 5761.76346875
transcript.pyannote[1130].end 5763.13034375
transcript.pyannote[1131].speaker SPEAKER_13
transcript.pyannote[1131].start 5763.53534375
transcript.pyannote[1131].end 5764.12596875
transcript.pyannote[1132].speaker SPEAKER_13
transcript.pyannote[1132].start 5764.24409375
transcript.pyannote[1132].end 5764.78409375
transcript.pyannote[1133].speaker SPEAKER_13
transcript.pyannote[1133].start 5765.13846875
transcript.pyannote[1133].end 5765.76284375
transcript.pyannote[1134].speaker SPEAKER_13
transcript.pyannote[1134].start 5767.11284375
transcript.pyannote[1134].end 5767.68659375
transcript.pyannote[1135].speaker SPEAKER_13
transcript.pyannote[1135].start 5768.98596875
transcript.pyannote[1135].end 5770.31909375
transcript.pyannote[1136].speaker SPEAKER_13
transcript.pyannote[1136].start 5771.24721875
transcript.pyannote[1136].end 5772.29346875
transcript.pyannote[1137].speaker SPEAKER_13
transcript.pyannote[1137].start 5772.47909375
transcript.pyannote[1137].end 5773.30596875
transcript.pyannote[1138].speaker SPEAKER_13
transcript.pyannote[1138].start 5774.85846875
transcript.pyannote[1138].end 5775.17909375
transcript.pyannote[1139].speaker SPEAKER_13
transcript.pyannote[1139].start 5775.46596875
transcript.pyannote[1139].end 5776.00596875
transcript.pyannote[1140].speaker SPEAKER_13
transcript.pyannote[1140].start 5776.49534375
transcript.pyannote[1140].end 5777.76096875
transcript.pyannote[1141].speaker SPEAKER_13
transcript.pyannote[1141].start 5778.58784375
transcript.pyannote[1141].end 5779.14471875
transcript.pyannote[1142].speaker SPEAKER_13
transcript.pyannote[1142].start 5779.75221875
transcript.pyannote[1142].end 5781.03471875
transcript.pyannote[1143].speaker SPEAKER_13
transcript.pyannote[1143].start 5781.43971875
transcript.pyannote[1143].end 5783.73471875
transcript.pyannote[1144].speaker SPEAKER_19
transcript.pyannote[1144].start 5782.43534375
transcript.pyannote[1144].end 5788.54409375
transcript.pyannote[1145].speaker SPEAKER_19
transcript.pyannote[1145].start 5792.03721875
transcript.pyannote[1145].end 5794.14659375
transcript.pyannote[1146].speaker SPEAKER_19
transcript.pyannote[1146].start 5794.41659375
transcript.pyannote[1146].end 5799.27659375
transcript.pyannote[1147].speaker SPEAKER_19
transcript.pyannote[1147].start 5799.91784375
transcript.pyannote[1147].end 5803.32659375
transcript.pyannote[1148].speaker SPEAKER_19
transcript.pyannote[1148].start 5803.90034375
transcript.pyannote[1148].end 5809.33409375
transcript.pyannote[1149].speaker SPEAKER_06
transcript.pyannote[1149].start 5817.29909375
transcript.pyannote[1149].end 5854.62659375
transcript.pyannote[1150].speaker SPEAKER_06
transcript.pyannote[1150].start 5855.03159375
transcript.pyannote[1150].end 5921.13096875
transcript.pyannote[1151].speaker SPEAKER_06
transcript.pyannote[1151].start 5922.44721875
transcript.pyannote[1151].end 5932.85909375
transcript.pyannote[1152].speaker SPEAKER_06
transcript.pyannote[1152].start 5933.34846875
transcript.pyannote[1152].end 5947.47284375
transcript.pyannote[1153].speaker SPEAKER_06
transcript.pyannote[1153].start 5947.67534375
transcript.pyannote[1153].end 5959.57221875
transcript.pyannote[1154].speaker SPEAKER_06
transcript.pyannote[1154].start 5959.80846875
transcript.pyannote[1154].end 6004.22346875
transcript.pyannote[1155].speaker SPEAKER_06
transcript.pyannote[1155].start 6004.61159375
transcript.pyannote[1155].end 6006.83909375
transcript.pyannote[1156].speaker SPEAKER_06
transcript.pyannote[1156].start 6007.19346875
transcript.pyannote[1156].end 6039.49221875
transcript.pyannote[1157].speaker SPEAKER_06
transcript.pyannote[1157].start 6039.91409375
transcript.pyannote[1157].end 6050.54534375
transcript.pyannote[1158].speaker SPEAKER_06
transcript.pyannote[1158].start 6051.08534375
transcript.pyannote[1158].end 6081.69659375
transcript.pyannote[1159].speaker SPEAKER_06
transcript.pyannote[1159].start 6082.00034375
transcript.pyannote[1159].end 6086.23596875
transcript.pyannote[1160].speaker SPEAKER_06
transcript.pyannote[1160].start 6086.38784375
transcript.pyannote[1160].end 6115.78409375
transcript.pyannote[1161].speaker SPEAKER_06
transcript.pyannote[1161].start 6116.08784375
transcript.pyannote[1161].end 6119.91846875
transcript.pyannote[1162].speaker SPEAKER_19
transcript.pyannote[1162].start 6121.62284375
transcript.pyannote[1162].end 6124.25534375
transcript.pyannote[1163].speaker SPEAKER_19
transcript.pyannote[1163].start 6127.86659375
transcript.pyannote[1163].end 6128.79471875
transcript.pyannote[1164].speaker SPEAKER_19
transcript.pyannote[1164].start 6130.07721875
transcript.pyannote[1164].end 6135.57846875
transcript.pyannote[1165].speaker SPEAKER_14
transcript.pyannote[1165].start 6154.24221875
transcript.pyannote[1165].end 6158.84909375
transcript.pyannote[1166].speaker SPEAKER_14
transcript.pyannote[1166].start 6158.91659375
transcript.pyannote[1166].end 6196.46346875
transcript.pyannote[1167].speaker SPEAKER_14
transcript.pyannote[1167].start 6198.84284375
transcript.pyannote[1167].end 6339.69846875
transcript.pyannote[1168].speaker SPEAKER_14
transcript.pyannote[1168].start 6340.18784375
transcript.pyannote[1168].end 6356.05034375
transcript.pyannote[1169].speaker SPEAKER_14
transcript.pyannote[1169].start 6356.16846875
transcript.pyannote[1169].end 6613.15784375
transcript.pyannote[1170].speaker SPEAKER_14
transcript.pyannote[1170].start 6613.41096875
transcript.pyannote[1170].end 6651.44721875
transcript.pyannote[1171].speaker SPEAKER_14
transcript.pyannote[1171].start 6652.10534375
transcript.pyannote[1171].end 6670.66784375
transcript.pyannote[1172].speaker SPEAKER_19
transcript.pyannote[1172].start 6671.78159375
transcript.pyannote[1172].end 6672.96284375
transcript.pyannote[1173].speaker SPEAKER_19
transcript.pyannote[1173].start 6673.51971875
transcript.pyannote[1173].end 6675.88221875
transcript.pyannote[1174].speaker SPEAKER_19
transcript.pyannote[1174].start 6678.26159375
transcript.pyannote[1174].end 6679.94909375
transcript.pyannote[1175].speaker SPEAKER_19
transcript.pyannote[1175].start 6680.16846875
transcript.pyannote[1175].end 6681.26534375
transcript.pyannote[1176].speaker SPEAKER_08
transcript.pyannote[1176].start 6690.31034375
transcript.pyannote[1176].end 6705.59909375
transcript.pyannote[1177].speaker SPEAKER_08
transcript.pyannote[1177].start 6705.88596875
transcript.pyannote[1177].end 6719.63909375
transcript.pyannote[1178].speaker SPEAKER_08
transcript.pyannote[1178].start 6720.11159375
transcript.pyannote[1178].end 6739.63596875
transcript.pyannote[1179].speaker SPEAKER_08
transcript.pyannote[1179].start 6740.15909375
transcript.pyannote[1179].end 6752.61284375
transcript.pyannote[1180].speaker SPEAKER_08
transcript.pyannote[1180].start 6752.93346875
transcript.pyannote[1180].end 6754.48596875
transcript.pyannote[1181].speaker SPEAKER_08
transcript.pyannote[1181].start 6755.11034375
transcript.pyannote[1181].end 6764.25659375
transcript.pyannote[1182].speaker SPEAKER_08
transcript.pyannote[1182].start 6764.66159375
transcript.pyannote[1182].end 6776.28846875
transcript.pyannote[1183].speaker SPEAKER_08
transcript.pyannote[1183].start 6776.57534375
transcript.pyannote[1183].end 6814.51034375
transcript.pyannote[1184].speaker SPEAKER_08
transcript.pyannote[1184].start 6814.93221875
transcript.pyannote[1184].end 6829.93409375
transcript.pyannote[1185].speaker SPEAKER_08
transcript.pyannote[1185].start 6830.42346875
transcript.pyannote[1185].end 6833.83221875
transcript.pyannote[1186].speaker SPEAKER_08
transcript.pyannote[1186].start 6834.49034375
transcript.pyannote[1186].end 6899.30721875
transcript.pyannote[1187].speaker SPEAKER_08
transcript.pyannote[1187].start 6899.84721875
transcript.pyannote[1187].end 6917.59971875
transcript.pyannote[1188].speaker SPEAKER_08
transcript.pyannote[1188].start 6918.20721875
transcript.pyannote[1188].end 6918.86534375
transcript.pyannote[1189].speaker SPEAKER_08
transcript.pyannote[1189].start 6919.32096875
transcript.pyannote[1189].end 6920.92409375
transcript.pyannote[1190].speaker SPEAKER_08
transcript.pyannote[1190].start 6921.29534375
transcript.pyannote[1190].end 6958.55534375
transcript.pyannote[1191].speaker SPEAKER_08
transcript.pyannote[1191].start 6958.97721875
transcript.pyannote[1191].end 7000.27034375
transcript.pyannote[1192].speaker SPEAKER_19
transcript.pyannote[1192].start 7000.86096875
transcript.pyannote[1192].end 7003.37534375
transcript.pyannote[1193].speaker SPEAKER_19
transcript.pyannote[1193].start 7004.96159375
transcript.pyannote[1193].end 7005.63659375
transcript.pyannote[1194].speaker SPEAKER_19
transcript.pyannote[1194].start 7005.95721875
transcript.pyannote[1194].end 7007.10471875
transcript.pyannote[1195].speaker SPEAKER_19
transcript.pyannote[1195].start 7008.03284375
transcript.pyannote[1195].end 7009.28159375
transcript.pyannote[1196].speaker SPEAKER_19
transcript.pyannote[1196].start 7009.43346875
transcript.pyannote[1196].end 7010.69909375
transcript.pyannote[1197].speaker SPEAKER_19
transcript.pyannote[1197].start 7010.86784375
transcript.pyannote[1197].end 7011.50909375
transcript.pyannote[1198].speaker SPEAKER_17
transcript.pyannote[1198].start 7025.46471875
transcript.pyannote[1198].end 7026.08909375
transcript.pyannote[1199].speaker SPEAKER_17
transcript.pyannote[1199].start 7026.27471875
transcript.pyannote[1199].end 7029.80159375
transcript.pyannote[1200].speaker SPEAKER_17
transcript.pyannote[1200].start 7036.60221875
transcript.pyannote[1200].end 7036.63596875
transcript.pyannote[1201].speaker SPEAKER_17
transcript.pyannote[1201].start 7038.50909375
transcript.pyannote[1201].end 7039.18409375
transcript.pyannote[1202].speaker SPEAKER_17
transcript.pyannote[1202].start 7039.31909375
transcript.pyannote[1202].end 7042.47471875
transcript.pyannote[1203].speaker SPEAKER_17
transcript.pyannote[1203].start 7042.89659375
transcript.pyannote[1203].end 7048.41471875
transcript.pyannote[1204].speaker SPEAKER_17
transcript.pyannote[1204].start 7048.78596875
transcript.pyannote[1204].end 7049.14034375
transcript.pyannote[1205].speaker SPEAKER_17
transcript.pyannote[1205].start 7049.51159375
transcript.pyannote[1205].end 7050.08534375
transcript.pyannote[1206].speaker SPEAKER_17
transcript.pyannote[1206].start 7051.50284375
transcript.pyannote[1206].end 7051.78971875
transcript.pyannote[1207].speaker SPEAKER_17
transcript.pyannote[1207].start 7054.06784375
transcript.pyannote[1207].end 7055.68784375
transcript.pyannote[1208].speaker SPEAKER_17
transcript.pyannote[1208].start 7056.17721875
transcript.pyannote[1208].end 7059.88971875
transcript.pyannote[1209].speaker SPEAKER_17
transcript.pyannote[1209].start 7060.37909375
transcript.pyannote[1209].end 7062.53909375
transcript.pyannote[1210].speaker SPEAKER_17
transcript.pyannote[1210].start 7064.12534375
transcript.pyannote[1210].end 7066.63971875
transcript.pyannote[1211].speaker SPEAKER_17
transcript.pyannote[1211].start 7067.93909375
transcript.pyannote[1211].end 7073.13659375
transcript.pyannote[1212].speaker SPEAKER_17
transcript.pyannote[1212].start 7073.77784375
transcript.pyannote[1212].end 7075.90409375
transcript.pyannote[1213].speaker SPEAKER_17
transcript.pyannote[1213].start 7076.30909375
transcript.pyannote[1213].end 7076.68034375
transcript.pyannote[1214].speaker SPEAKER_17
transcript.pyannote[1214].start 7077.11909375
transcript.pyannote[1214].end 7086.11346875
transcript.pyannote[1215].speaker SPEAKER_17
transcript.pyannote[1215].start 7086.82221875
transcript.pyannote[1215].end 7096.76159375
transcript.pyannote[1216].speaker SPEAKER_17
transcript.pyannote[1216].start 7097.40284375
transcript.pyannote[1216].end 7100.42346875
transcript.pyannote[1217].speaker SPEAKER_17
transcript.pyannote[1217].start 7101.04784375
transcript.pyannote[1217].end 7101.65534375
transcript.pyannote[1218].speaker SPEAKER_17
transcript.pyannote[1218].start 7101.75659375
transcript.pyannote[1218].end 7112.79284375
transcript.pyannote[1219].speaker SPEAKER_17
transcript.pyannote[1219].start 7112.96159375
transcript.pyannote[1219].end 7114.26096875
transcript.pyannote[1220].speaker SPEAKER_17
transcript.pyannote[1220].start 7115.66159375
transcript.pyannote[1220].end 7119.52596875
transcript.pyannote[1221].speaker SPEAKER_17
transcript.pyannote[1221].start 7120.62284375
transcript.pyannote[1221].end 7120.77471875
transcript.pyannote[1222].speaker SPEAKER_17
transcript.pyannote[1222].start 7121.14596875
transcript.pyannote[1222].end 7132.35096875
transcript.pyannote[1223].speaker SPEAKER_17
transcript.pyannote[1223].start 7132.97534375
transcript.pyannote[1223].end 7133.27909375
transcript.pyannote[1224].speaker SPEAKER_17
transcript.pyannote[1224].start 7133.73471875
transcript.pyannote[1224].end 7136.55284375
transcript.pyannote[1225].speaker SPEAKER_17
transcript.pyannote[1225].start 7136.68784375
transcript.pyannote[1225].end 7141.73346875
transcript.pyannote[1226].speaker SPEAKER_17
transcript.pyannote[1226].start 7142.17221875
transcript.pyannote[1226].end 7144.61909375
transcript.pyannote[1227].speaker SPEAKER_17
transcript.pyannote[1227].start 7144.95659375
transcript.pyannote[1227].end 7147.74096875
transcript.pyannote[1228].speaker SPEAKER_17
transcript.pyannote[1228].start 7148.31471875
transcript.pyannote[1228].end 7148.63534375
transcript.pyannote[1229].speaker SPEAKER_17
transcript.pyannote[1229].start 7148.93909375
transcript.pyannote[1229].end 7151.50409375
transcript.pyannote[1230].speaker SPEAKER_17
transcript.pyannote[1230].start 7152.11159375
transcript.pyannote[1230].end 7172.85096875
transcript.pyannote[1231].speaker SPEAKER_17
transcript.pyannote[1231].start 7173.37409375
transcript.pyannote[1231].end 7193.45534375
transcript.pyannote[1232].speaker SPEAKER_17
transcript.pyannote[1232].start 7194.50159375
transcript.pyannote[1232].end 7224.20159375
transcript.pyannote[1233].speaker SPEAKER_17
transcript.pyannote[1233].start 7224.57284375
transcript.pyannote[1233].end 7235.37284375
transcript.pyannote[1234].speaker SPEAKER_17
transcript.pyannote[1234].start 7235.50784375
transcript.pyannote[1234].end 7242.46034375
transcript.pyannote[1235].speaker SPEAKER_17
transcript.pyannote[1235].start 7243.13534375
transcript.pyannote[1235].end 7249.59846875
transcript.pyannote[1236].speaker SPEAKER_17
transcript.pyannote[1236].start 7249.81784375
transcript.pyannote[1236].end 7254.42471875
transcript.pyannote[1237].speaker SPEAKER_17
transcript.pyannote[1237].start 7255.28534375
transcript.pyannote[1237].end 7255.77471875
transcript.pyannote[1238].speaker SPEAKER_17
transcript.pyannote[1238].start 7256.58471875
transcript.pyannote[1238].end 7257.69846875
transcript.pyannote[1239].speaker SPEAKER_17
transcript.pyannote[1239].start 7258.08659375
transcript.pyannote[1239].end 7268.04284375
transcript.pyannote[1240].speaker SPEAKER_17
transcript.pyannote[1240].start 7268.66721875
transcript.pyannote[1240].end 7274.82659375
transcript.pyannote[1241].speaker SPEAKER_17
transcript.pyannote[1241].start 7275.78846875
transcript.pyannote[1241].end 7287.06096875
transcript.pyannote[1242].speaker SPEAKER_17
transcript.pyannote[1242].start 7287.17909375
transcript.pyannote[1242].end 7291.48221875
transcript.pyannote[1243].speaker SPEAKER_17
transcript.pyannote[1243].start 7291.97159375
transcript.pyannote[1243].end 7293.65909375
transcript.pyannote[1244].speaker SPEAKER_17
transcript.pyannote[1244].start 7294.01346875
transcript.pyannote[1244].end 7298.85659375
transcript.pyannote[1245].speaker SPEAKER_17
transcript.pyannote[1245].start 7299.24471875
transcript.pyannote[1245].end 7307.63159375
transcript.pyannote[1246].speaker SPEAKER_17
transcript.pyannote[1246].start 7307.90159375
transcript.pyannote[1246].end 7317.30096875
transcript.pyannote[1247].speaker SPEAKER_17
transcript.pyannote[1247].start 7317.94221875
transcript.pyannote[1247].end 7325.43471875
transcript.pyannote[1248].speaker SPEAKER_17
transcript.pyannote[1248].start 7325.92409375
transcript.pyannote[1248].end 7330.68284375
transcript.pyannote[1249].speaker SPEAKER_17
transcript.pyannote[1249].start 7331.64471875
transcript.pyannote[1249].end 7335.55971875
transcript.pyannote[1250].speaker SPEAKER_17
transcript.pyannote[1250].start 7336.01534375
transcript.pyannote[1250].end 7337.88846875
transcript.pyannote[1251].speaker SPEAKER_17
transcript.pyannote[1251].start 7338.09096875
transcript.pyannote[1251].end 7341.73596875
transcript.pyannote[1252].speaker SPEAKER_17
transcript.pyannote[1252].start 7341.98909375
transcript.pyannote[1252].end 7350.12284375
transcript.pyannote[1253].speaker SPEAKER_17
transcript.pyannote[1253].start 7350.42659375
transcript.pyannote[1253].end 7361.51346875
transcript.pyannote[1254].speaker SPEAKER_17
transcript.pyannote[1254].start 7361.78346875
transcript.pyannote[1254].end 7385.25659375
transcript.pyannote[1255].speaker SPEAKER_17
transcript.pyannote[1255].start 7385.32409375
transcript.pyannote[1255].end 7386.18471875
transcript.pyannote[1256].speaker SPEAKER_17
transcript.pyannote[1256].start 7386.80909375
transcript.pyannote[1256].end 7425.79034375
transcript.pyannote[1257].speaker SPEAKER_17
transcript.pyannote[1257].start 7425.94221875
transcript.pyannote[1257].end 7512.79784375
transcript.pyannote[1258].speaker SPEAKER_08
transcript.pyannote[1258].start 7522.46721875
transcript.pyannote[1258].end 7528.37346875
transcript.pyannote[1259].speaker SPEAKER_12
transcript.pyannote[1259].start 7539.13971875
transcript.pyannote[1259].end 7541.43471875
transcript.pyannote[1260].speaker SPEAKER_12
transcript.pyannote[1260].start 7542.31221875
transcript.pyannote[1260].end 7543.91534375
transcript.pyannote[1261].speaker SPEAKER_12
transcript.pyannote[1261].start 7544.57346875
transcript.pyannote[1261].end 7546.24409375
transcript.pyannote[1262].speaker SPEAKER_12
transcript.pyannote[1262].start 7546.53096875
transcript.pyannote[1262].end 7547.52659375
transcript.pyannote[1263].speaker SPEAKER_12
transcript.pyannote[1263].start 7548.26909375
transcript.pyannote[1263].end 7549.48409375
transcript.pyannote[1264].speaker SPEAKER_12
transcript.pyannote[1264].start 7550.98596875
transcript.pyannote[1264].end 7554.34409375
transcript.pyannote[1265].speaker SPEAKER_12
transcript.pyannote[1265].start 7555.20471875
transcript.pyannote[1265].end 7558.64721875
transcript.pyannote[1266].speaker SPEAKER_12
transcript.pyannote[1266].start 7559.25471875
transcript.pyannote[1266].end 7560.11534375
transcript.pyannote[1267].speaker SPEAKER_12
transcript.pyannote[1267].start 7560.84096875
transcript.pyannote[1267].end 7561.88721875
transcript.pyannote[1268].speaker SPEAKER_12
transcript.pyannote[1268].start 7562.37659375
transcript.pyannote[1268].end 7565.39721875
transcript.pyannote[1269].speaker SPEAKER_12
transcript.pyannote[1269].start 7566.44346875
transcript.pyannote[1269].end 7568.67096875
transcript.pyannote[1270].speaker SPEAKER_12
transcript.pyannote[1270].start 7569.39659375
transcript.pyannote[1270].end 7571.18534375
transcript.pyannote[1271].speaker SPEAKER_12
transcript.pyannote[1271].start 7571.79284375
transcript.pyannote[1271].end 7574.59409375
transcript.pyannote[1272].speaker SPEAKER_12
transcript.pyannote[1272].start 7575.37034375
transcript.pyannote[1272].end 7576.80471875
transcript.pyannote[1273].speaker SPEAKER_12
transcript.pyannote[1273].start 7577.63159375
transcript.pyannote[1273].end 7578.89721875
transcript.pyannote[1274].speaker SPEAKER_12
transcript.pyannote[1274].start 7580.09534375
transcript.pyannote[1274].end 7581.32721875
transcript.pyannote[1275].speaker SPEAKER_12
transcript.pyannote[1275].start 7582.76159375
transcript.pyannote[1275].end 7585.42784375
transcript.pyannote[1276].speaker SPEAKER_12
transcript.pyannote[1276].start 7586.18721875
transcript.pyannote[1276].end 7588.92096875
transcript.pyannote[1277].speaker SPEAKER_12
transcript.pyannote[1277].start 7589.44409375
transcript.pyannote[1277].end 7590.65909375
transcript.pyannote[1278].speaker SPEAKER_12
transcript.pyannote[1278].start 7591.46909375
transcript.pyannote[1278].end 7594.67534375
transcript.pyannote[1279].speaker SPEAKER_12
transcript.pyannote[1279].start 7596.07596875
transcript.pyannote[1279].end 7596.63284375
transcript.pyannote[1280].speaker SPEAKER_12
transcript.pyannote[1280].start 7598.01659375
transcript.pyannote[1280].end 7599.80534375
transcript.pyannote[1281].speaker SPEAKER_12
transcript.pyannote[1281].start 7601.02034375
transcript.pyannote[1281].end 7602.47159375
transcript.pyannote[1282].speaker SPEAKER_12
transcript.pyannote[1282].start 7602.99471875
transcript.pyannote[1282].end 7605.25596875
transcript.pyannote[1283].speaker SPEAKER_12
transcript.pyannote[1283].start 7606.18409375
transcript.pyannote[1283].end 7608.42846875
transcript.pyannote[1284].speaker SPEAKER_12
transcript.pyannote[1284].start 7608.81659375
transcript.pyannote[1284].end 7609.93034375
transcript.pyannote[1285].speaker SPEAKER_12
transcript.pyannote[1285].start 7610.67284375
transcript.pyannote[1285].end 7613.86221875
transcript.pyannote[1286].speaker SPEAKER_12
transcript.pyannote[1286].start 7615.00971875
transcript.pyannote[1286].end 7615.61721875
transcript.pyannote[1287].speaker SPEAKER_12
transcript.pyannote[1287].start 7616.02221875
transcript.pyannote[1287].end 7617.00096875
transcript.pyannote[1288].speaker SPEAKER_12
transcript.pyannote[1288].start 7619.12721875
transcript.pyannote[1288].end 7622.23221875
transcript.pyannote[1289].speaker SPEAKER_12
transcript.pyannote[1289].start 7622.85659375
transcript.pyannote[1289].end 7624.98284375
transcript.pyannote[1290].speaker SPEAKER_12
transcript.pyannote[1290].start 7625.59034375
transcript.pyannote[1290].end 7626.13034375
transcript.pyannote[1291].speaker SPEAKER_12
transcript.pyannote[1291].start 7626.87284375
transcript.pyannote[1291].end 7627.98659375
transcript.pyannote[1292].speaker SPEAKER_12
transcript.pyannote[1292].start 7629.43784375
transcript.pyannote[1292].end 7630.02846875
transcript.pyannote[1293].speaker SPEAKER_12
transcript.pyannote[1293].start 7631.42909375
transcript.pyannote[1293].end 7632.30659375
transcript.pyannote[1294].speaker SPEAKER_12
transcript.pyannote[1294].start 7632.47534375
transcript.pyannote[1294].end 7633.50471875
transcript.pyannote[1295].speaker SPEAKER_12
transcript.pyannote[1295].start 7634.34846875
transcript.pyannote[1295].end 7635.59721875
transcript.pyannote[1296].speaker SPEAKER_12
transcript.pyannote[1296].start 7635.83346875
transcript.pyannote[1296].end 7637.04846875
transcript.pyannote[1297].speaker SPEAKER_12
transcript.pyannote[1297].start 7638.38159375
transcript.pyannote[1297].end 7639.74846875
transcript.pyannote[1298].speaker SPEAKER_12
transcript.pyannote[1298].start 7640.54159375
transcript.pyannote[1298].end 7643.25846875
transcript.pyannote[1299].speaker SPEAKER_12
transcript.pyannote[1299].start 7643.57909375
transcript.pyannote[1299].end 7644.96284375
transcript.pyannote[1300].speaker SPEAKER_12
transcript.pyannote[1300].start 7645.78971875
transcript.pyannote[1300].end 7648.03409375
transcript.pyannote[1301].speaker SPEAKER_12
transcript.pyannote[1301].start 7648.81034375
transcript.pyannote[1301].end 7651.18971875
transcript.pyannote[1302].speaker SPEAKER_12
transcript.pyannote[1302].start 7651.72971875
transcript.pyannote[1302].end 7653.11346875
transcript.pyannote[1303].speaker SPEAKER_12
transcript.pyannote[1303].start 7653.67034375
transcript.pyannote[1303].end 7655.10471875
transcript.pyannote[1304].speaker SPEAKER_12
transcript.pyannote[1304].start 7655.64471875
transcript.pyannote[1304].end 7656.75846875
transcript.pyannote[1305].speaker SPEAKER_12
transcript.pyannote[1305].start 7658.29409375
transcript.pyannote[1305].end 7659.64409375
transcript.pyannote[1306].speaker SPEAKER_12
transcript.pyannote[1306].start 7660.25159375
transcript.pyannote[1306].end 7661.48346875
transcript.pyannote[1307].speaker SPEAKER_12
transcript.pyannote[1307].start 7661.80409375
transcript.pyannote[1307].end 7662.25971875
transcript.pyannote[1308].speaker SPEAKER_12
transcript.pyannote[1308].start 7662.51284375
transcript.pyannote[1308].end 7664.26784375
transcript.pyannote[1309].speaker SPEAKER_12
transcript.pyannote[1309].start 7665.31409375
transcript.pyannote[1309].end 7665.85409375
transcript.pyannote[1310].speaker SPEAKER_12
transcript.pyannote[1310].start 7667.99721875
transcript.pyannote[1310].end 7669.09409375
transcript.pyannote[1311].speaker SPEAKER_12
transcript.pyannote[1311].start 7669.54971875
transcript.pyannote[1311].end 7670.98409375
transcript.pyannote[1312].speaker SPEAKER_12
transcript.pyannote[1312].start 7671.35534375
transcript.pyannote[1312].end 7673.11034375
transcript.pyannote[1313].speaker SPEAKER_12
transcript.pyannote[1313].start 7673.66721875
transcript.pyannote[1313].end 7677.14346875
transcript.pyannote[1314].speaker SPEAKER_12
transcript.pyannote[1314].start 7678.69596875
transcript.pyannote[1314].end 7681.04159375
transcript.pyannote[1315].speaker SPEAKER_12
transcript.pyannote[1315].start 7681.53096875
transcript.pyannote[1315].end 7682.81346875
transcript.pyannote[1316].speaker SPEAKER_12
transcript.pyannote[1316].start 7683.31971875
transcript.pyannote[1316].end 7684.18034375
transcript.pyannote[1317].speaker SPEAKER_12
transcript.pyannote[1317].start 7684.80471875
transcript.pyannote[1317].end 7686.40784375
transcript.pyannote[1318].speaker SPEAKER_12
transcript.pyannote[1318].start 7687.08284375
transcript.pyannote[1318].end 7688.48346875
transcript.pyannote[1319].speaker SPEAKER_12
transcript.pyannote[1319].start 7688.95596875
transcript.pyannote[1319].end 7690.22159375
transcript.pyannote[1320].speaker SPEAKER_12
transcript.pyannote[1320].start 7690.72784375
transcript.pyannote[1320].end 7690.98096875
transcript.pyannote[1321].speaker SPEAKER_12
transcript.pyannote[1321].start 7691.31846875
transcript.pyannote[1321].end 7693.54596875
transcript.pyannote[1322].speaker SPEAKER_12
transcript.pyannote[1322].start 7694.20409375
transcript.pyannote[1322].end 7695.97596875
transcript.pyannote[1323].speaker SPEAKER_12
transcript.pyannote[1323].start 7696.21221875
transcript.pyannote[1323].end 7697.29221875
transcript.pyannote[1324].speaker SPEAKER_12
transcript.pyannote[1324].start 7698.67596875
transcript.pyannote[1324].end 7699.58721875
transcript.pyannote[1325].speaker SPEAKER_12
transcript.pyannote[1325].start 7700.70096875
transcript.pyannote[1325].end 7701.62909375
transcript.pyannote[1326].speaker SPEAKER_12
transcript.pyannote[1326].start 7702.03409375
transcript.pyannote[1326].end 7704.86909375
transcript.pyannote[1327].speaker SPEAKER_12
transcript.pyannote[1327].start 7705.30784375
transcript.pyannote[1327].end 7707.04596875
transcript.pyannote[1328].speaker SPEAKER_12
transcript.pyannote[1328].start 7707.60284375
transcript.pyannote[1328].end 7708.71659375
transcript.pyannote[1329].speaker SPEAKER_12
transcript.pyannote[1329].start 7709.37471875
transcript.pyannote[1329].end 7711.68659375
transcript.pyannote[1330].speaker SPEAKER_12
transcript.pyannote[1330].start 7712.32784375
transcript.pyannote[1330].end 7715.41596875
transcript.pyannote[1331].speaker SPEAKER_12
transcript.pyannote[1331].start 7715.73659375
transcript.pyannote[1331].end 7717.77846875
transcript.pyannote[1332].speaker SPEAKER_12
transcript.pyannote[1332].start 7717.96409375
transcript.pyannote[1332].end 7719.38159375
transcript.pyannote[1333].speaker SPEAKER_12
transcript.pyannote[1333].start 7719.97221875
transcript.pyannote[1333].end 7722.23346875
transcript.pyannote[1334].speaker SPEAKER_12
transcript.pyannote[1334].start 7722.90846875
transcript.pyannote[1334].end 7724.46096875
transcript.pyannote[1335].speaker SPEAKER_12
transcript.pyannote[1335].start 7724.91659375
transcript.pyannote[1335].end 7726.04721875
transcript.pyannote[1336].speaker SPEAKER_12
transcript.pyannote[1336].start 7726.65471875
transcript.pyannote[1336].end 7727.48159375
transcript.pyannote[1337].speaker SPEAKER_12
transcript.pyannote[1337].start 7727.73471875
transcript.pyannote[1337].end 7728.56159375
transcript.pyannote[1338].speaker SPEAKER_12
transcript.pyannote[1338].start 7729.13534375
transcript.pyannote[1338].end 7730.97471875
transcript.pyannote[1339].speaker SPEAKER_12
transcript.pyannote[1339].start 7731.78471875
transcript.pyannote[1339].end 7734.65346875
transcript.pyannote[1340].speaker SPEAKER_12
transcript.pyannote[1340].start 7735.26096875
transcript.pyannote[1340].end 7738.24784375
transcript.pyannote[1341].speaker SPEAKER_12
transcript.pyannote[1341].start 7739.19284375
transcript.pyannote[1341].end 7741.84221875
transcript.pyannote[1342].speaker SPEAKER_12
transcript.pyannote[1342].start 7742.87159375
transcript.pyannote[1342].end 7745.55471875
transcript.pyannote[1343].speaker SPEAKER_12
transcript.pyannote[1343].start 7746.12846875
transcript.pyannote[1343].end 7747.24221875
transcript.pyannote[1344].speaker SPEAKER_12
transcript.pyannote[1344].start 7748.60909375
transcript.pyannote[1344].end 7749.55409375
transcript.pyannote[1345].speaker SPEAKER_12
transcript.pyannote[1345].start 7749.97596875
transcript.pyannote[1345].end 7752.18659375
transcript.pyannote[1346].speaker SPEAKER_12
transcript.pyannote[1346].start 7752.50721875
transcript.pyannote[1346].end 7752.77721875
transcript.pyannote[1347].speaker SPEAKER_12
transcript.pyannote[1347].start 7753.13159375
transcript.pyannote[1347].end 7755.34221875
transcript.pyannote[1348].speaker SPEAKER_12
transcript.pyannote[1348].start 7756.08471875
transcript.pyannote[1348].end 7756.87784375
transcript.pyannote[1349].speaker SPEAKER_12
transcript.pyannote[1349].start 7757.62034375
transcript.pyannote[1349].end 7760.43846875
transcript.pyannote[1350].speaker SPEAKER_12
transcript.pyannote[1350].start 7760.80971875
transcript.pyannote[1350].end 7761.78846875
transcript.pyannote[1351].speaker SPEAKER_12
transcript.pyannote[1351].start 7762.46346875
transcript.pyannote[1351].end 7763.20596875
transcript.pyannote[1352].speaker SPEAKER_12
transcript.pyannote[1352].start 7763.79659375
transcript.pyannote[1352].end 7764.26909375
transcript.pyannote[1353].speaker SPEAKER_12
transcript.pyannote[1353].start 7764.30284375
transcript.pyannote[1353].end 7765.63596875
transcript.pyannote[1354].speaker SPEAKER_12
transcript.pyannote[1354].start 7766.14221875
transcript.pyannote[1354].end 7767.37409375
transcript.pyannote[1355].speaker SPEAKER_12
transcript.pyannote[1355].start 7768.03221875
transcript.pyannote[1355].end 7770.61409375
transcript.pyannote[1356].speaker SPEAKER_12
transcript.pyannote[1356].start 7770.90096875
transcript.pyannote[1356].end 7771.69409375
transcript.pyannote[1357].speaker SPEAKER_12
transcript.pyannote[1357].start 7772.13284375
transcript.pyannote[1357].end 7773.21284375
transcript.pyannote[1358].speaker SPEAKER_12
transcript.pyannote[1358].start 7773.97221875
transcript.pyannote[1358].end 7776.33471875
transcript.pyannote[1359].speaker SPEAKER_12
transcript.pyannote[1359].start 7777.17846875
transcript.pyannote[1359].end 7778.76471875
transcript.pyannote[1360].speaker SPEAKER_12
transcript.pyannote[1360].start 7779.06846875
transcript.pyannote[1360].end 7779.96284375
transcript.pyannote[1361].speaker SPEAKER_12
transcript.pyannote[1361].start 7780.70534375
transcript.pyannote[1361].end 7781.73471875
transcript.pyannote[1362].speaker SPEAKER_12
transcript.pyannote[1362].start 7782.30846875
transcript.pyannote[1362].end 7783.10159375
transcript.pyannote[1363].speaker SPEAKER_12
transcript.pyannote[1363].start 7783.28721875
transcript.pyannote[1363].end 7785.02534375
transcript.pyannote[1364].speaker SPEAKER_12
transcript.pyannote[1364].start 7785.46409375
transcript.pyannote[1364].end 7788.13034375
transcript.pyannote[1365].speaker SPEAKER_12
transcript.pyannote[1365].start 7789.12596875
transcript.pyannote[1365].end 7790.50971875
transcript.pyannote[1366].speaker SPEAKER_12
transcript.pyannote[1366].start 7790.74596875
transcript.pyannote[1366].end 7793.56409375
transcript.pyannote[1367].speaker SPEAKER_12
transcript.pyannote[1367].start 7794.42471875
transcript.pyannote[1367].end 7797.66471875
transcript.pyannote[1368].speaker SPEAKER_12
transcript.pyannote[1368].start 7798.13721875
transcript.pyannote[1368].end 7799.43659375
transcript.pyannote[1369].speaker SPEAKER_12
transcript.pyannote[1369].start 7799.89221875
transcript.pyannote[1369].end 7804.24596875
transcript.pyannote[1370].speaker SPEAKER_12
transcript.pyannote[1370].start 7804.81971875
transcript.pyannote[1370].end 7807.48596875
transcript.pyannote[1371].speaker SPEAKER_12
transcript.pyannote[1371].start 7807.82346875
transcript.pyannote[1371].end 7809.40971875
transcript.pyannote[1372].speaker SPEAKER_12
transcript.pyannote[1372].start 7809.79784375
transcript.pyannote[1372].end 7811.78909375
transcript.pyannote[1373].speaker SPEAKER_12
transcript.pyannote[1373].start 7812.37971875
transcript.pyannote[1373].end 7814.75909375
transcript.pyannote[1374].speaker SPEAKER_12
transcript.pyannote[1374].start 7815.13034375
transcript.pyannote[1374].end 7817.49284375
transcript.pyannote[1375].speaker SPEAKER_12
transcript.pyannote[1375].start 7819.34909375
transcript.pyannote[1375].end 7822.03221875
transcript.pyannote[1376].speaker SPEAKER_12
transcript.pyannote[1376].start 7822.65659375
transcript.pyannote[1376].end 7827.51659375
transcript.pyannote[1377].speaker SPEAKER_12
transcript.pyannote[1377].start 7827.93846875
transcript.pyannote[1377].end 7829.23784375
transcript.pyannote[1378].speaker SPEAKER_12
transcript.pyannote[1378].start 7829.69346875
transcript.pyannote[1378].end 7835.48159375
transcript.pyannote[1379].speaker SPEAKER_12
transcript.pyannote[1379].start 7837.05096875
transcript.pyannote[1379].end 7839.53159375
transcript.pyannote[1380].speaker SPEAKER_12
transcript.pyannote[1380].start 7840.17284375
transcript.pyannote[1380].end 7841.53971875
transcript.pyannote[1381].speaker SPEAKER_12
transcript.pyannote[1381].start 7841.82659375
transcript.pyannote[1381].end 7843.37909375
transcript.pyannote[1382].speaker SPEAKER_12
transcript.pyannote[1382].start 7844.27346875
transcript.pyannote[1382].end 7845.20159375
transcript.pyannote[1383].speaker SPEAKER_12
transcript.pyannote[1383].start 7845.99471875
transcript.pyannote[1383].end 7846.51784375
transcript.pyannote[1384].speaker SPEAKER_12
transcript.pyannote[1384].start 7847.24346875
transcript.pyannote[1384].end 7848.22221875
transcript.pyannote[1385].speaker SPEAKER_12
transcript.pyannote[1385].start 7849.06596875
transcript.pyannote[1385].end 7851.04034375
transcript.pyannote[1386].speaker SPEAKER_12
transcript.pyannote[1386].start 7851.68159375
transcript.pyannote[1386].end 7852.01909375
transcript.pyannote[1387].speaker SPEAKER_12
transcript.pyannote[1387].start 7852.44096875
transcript.pyannote[1387].end 7854.75284375
transcript.pyannote[1388].speaker SPEAKER_12
transcript.pyannote[1388].start 7855.07346875
transcript.pyannote[1388].end 7856.55846875
transcript.pyannote[1389].speaker SPEAKER_12
transcript.pyannote[1389].start 7856.79471875
transcript.pyannote[1389].end 7858.98846875
transcript.pyannote[1390].speaker SPEAKER_12
transcript.pyannote[1390].start 7859.54534375
transcript.pyannote[1390].end 7860.70971875
transcript.pyannote[1391].speaker SPEAKER_12
transcript.pyannote[1391].start 7861.63784375
transcript.pyannote[1391].end 7862.85284375
transcript.pyannote[1392].speaker SPEAKER_12
transcript.pyannote[1392].start 7863.24096875
transcript.pyannote[1392].end 7864.35471875
transcript.pyannote[1393].speaker SPEAKER_12
transcript.pyannote[1393].start 7865.24909375
transcript.pyannote[1393].end 7868.10096875
transcript.pyannote[1394].speaker SPEAKER_12
transcript.pyannote[1394].start 7868.52284375
transcript.pyannote[1394].end 7870.86846875
transcript.pyannote[1395].speaker SPEAKER_12
transcript.pyannote[1395].start 7872.21846875
transcript.pyannote[1395].end 7873.99034375
transcript.pyannote[1396].speaker SPEAKER_12
transcript.pyannote[1396].start 7874.80034375
transcript.pyannote[1396].end 7878.68159375
transcript.pyannote[1397].speaker SPEAKER_12
transcript.pyannote[1397].start 7879.89659375
transcript.pyannote[1397].end 7882.71471875
transcript.pyannote[1398].speaker SPEAKER_12
transcript.pyannote[1398].start 7882.81596875
transcript.pyannote[1398].end 7884.46971875
transcript.pyannote[1399].speaker SPEAKER_12
transcript.pyannote[1399].start 7884.82409375
transcript.pyannote[1399].end 7886.20784375
transcript.pyannote[1400].speaker SPEAKER_12
transcript.pyannote[1400].start 7886.52846875
transcript.pyannote[1400].end 7887.82784375
transcript.pyannote[1401].speaker SPEAKER_12
transcript.pyannote[1401].start 7887.89534375
transcript.pyannote[1401].end 7889.78534375
transcript.pyannote[1402].speaker SPEAKER_12
transcript.pyannote[1402].start 7890.22409375
transcript.pyannote[1402].end 7892.60346875
transcript.pyannote[1403].speaker SPEAKER_12
transcript.pyannote[1403].start 7892.77221875
transcript.pyannote[1403].end 7894.13909375
transcript.pyannote[1404].speaker SPEAKER_12
transcript.pyannote[1404].start 7894.78034375
transcript.pyannote[1404].end 7898.18909375
transcript.pyannote[1405].speaker SPEAKER_12
transcript.pyannote[1405].start 7898.69534375
transcript.pyannote[1405].end 7899.33659375
transcript.pyannote[1406].speaker SPEAKER_12
transcript.pyannote[1406].start 7899.69096875
transcript.pyannote[1406].end 7901.07471875
transcript.pyannote[1407].speaker SPEAKER_12
transcript.pyannote[1407].start 7901.71596875
transcript.pyannote[1407].end 7905.12471875
transcript.pyannote[1408].speaker SPEAKER_12
transcript.pyannote[1408].start 7905.68159375
transcript.pyannote[1408].end 7908.66846875
transcript.pyannote[1409].speaker SPEAKER_12
transcript.pyannote[1409].start 7908.98909375
transcript.pyannote[1409].end 7909.95096875
transcript.pyannote[1410].speaker SPEAKER_12
transcript.pyannote[1410].start 7910.28846875
transcript.pyannote[1410].end 7910.99721875
transcript.pyannote[1411].speaker SPEAKER_12
transcript.pyannote[1411].start 7911.18284375
transcript.pyannote[1411].end 7913.52846875
transcript.pyannote[1412].speaker SPEAKER_12
transcript.pyannote[1412].start 7913.86596875
transcript.pyannote[1412].end 7914.64221875
transcript.pyannote[1413].speaker SPEAKER_12
transcript.pyannote[1413].start 7915.48596875
transcript.pyannote[1413].end 7916.81909375
transcript.pyannote[1414].speaker SPEAKER_12
transcript.pyannote[1414].start 7917.37596875
transcript.pyannote[1414].end 7920.05909375
transcript.pyannote[1415].speaker SPEAKER_12
transcript.pyannote[1415].start 7921.25721875
transcript.pyannote[1415].end 7924.44659375
transcript.pyannote[1416].speaker SPEAKER_12
transcript.pyannote[1416].start 7925.49284375
transcript.pyannote[1416].end 7927.65284375
transcript.pyannote[1417].speaker SPEAKER_12
transcript.pyannote[1417].start 7927.90596875
transcript.pyannote[1417].end 7928.61471875
transcript.pyannote[1418].speaker SPEAKER_12
transcript.pyannote[1418].start 7928.85096875
transcript.pyannote[1418].end 7929.57659375
transcript.pyannote[1419].speaker SPEAKER_12
transcript.pyannote[1419].start 7930.21784375
transcript.pyannote[1419].end 7931.04471875
transcript.pyannote[1420].speaker SPEAKER_12
transcript.pyannote[1420].start 7931.80409375
transcript.pyannote[1420].end 7932.76596875
transcript.pyannote[1421].speaker SPEAKER_12
transcript.pyannote[1421].start 7933.05284375
transcript.pyannote[1421].end 7933.67721875
transcript.pyannote[1422].speaker SPEAKER_12
transcript.pyannote[1422].start 7934.23409375
transcript.pyannote[1422].end 7935.76971875
transcript.pyannote[1423].speaker SPEAKER_12
transcript.pyannote[1423].start 7936.22534375
transcript.pyannote[1423].end 7937.91284375
transcript.pyannote[1424].speaker SPEAKER_12
transcript.pyannote[1424].start 7938.52034375
transcript.pyannote[1424].end 7939.63409375
transcript.pyannote[1425].speaker SPEAKER_12
transcript.pyannote[1425].start 7940.07284375
transcript.pyannote[1425].end 7941.45659375
transcript.pyannote[1426].speaker SPEAKER_12
transcript.pyannote[1426].start 7941.77721875
transcript.pyannote[1426].end 7943.31284375
transcript.pyannote[1427].speaker SPEAKER_12
transcript.pyannote[1427].start 7943.63346875
transcript.pyannote[1427].end 7944.93284375
transcript.pyannote[1428].speaker SPEAKER_12
transcript.pyannote[1428].start 7945.08471875
transcript.pyannote[1428].end 7946.53596875
transcript.pyannote[1429].speaker SPEAKER_12
transcript.pyannote[1429].start 7946.85659375
transcript.pyannote[1429].end 7948.08846875
transcript.pyannote[1430].speaker SPEAKER_12
transcript.pyannote[1430].start 7948.57784375
transcript.pyannote[1430].end 7949.92784375
transcript.pyannote[1431].speaker SPEAKER_12
transcript.pyannote[1431].start 7950.23159375
transcript.pyannote[1431].end 7951.21034375
transcript.pyannote[1432].speaker SPEAKER_12
transcript.pyannote[1432].start 7951.42971875
transcript.pyannote[1432].end 7954.38284375
transcript.pyannote[1433].speaker SPEAKER_12
transcript.pyannote[1433].start 7954.61909375
transcript.pyannote[1433].end 7956.47534375
transcript.pyannote[1434].speaker SPEAKER_12
transcript.pyannote[1434].start 7956.89721875
transcript.pyannote[1434].end 7957.16721875
transcript.pyannote[1435].speaker SPEAKER_12
transcript.pyannote[1435].start 7957.35284375
transcript.pyannote[1435].end 7959.95159375
transcript.pyannote[1436].speaker SPEAKER_12
transcript.pyannote[1436].start 7960.45784375
transcript.pyannote[1436].end 7962.36471875
transcript.pyannote[1437].speaker SPEAKER_12
transcript.pyannote[1437].start 7963.10721875
transcript.pyannote[1437].end 7970.97096875
transcript.pyannote[1438].speaker SPEAKER_12
transcript.pyannote[1438].start 7971.91596875
transcript.pyannote[1438].end 7973.04659375
transcript.pyannote[1439].speaker SPEAKER_12
transcript.pyannote[1439].start 7974.64971875
transcript.pyannote[1439].end 7975.34159375
transcript.pyannote[1440].speaker SPEAKER_12
transcript.pyannote[1440].start 7975.52721875
transcript.pyannote[1440].end 7976.79284375
transcript.pyannote[1441].speaker SPEAKER_12
transcript.pyannote[1441].start 7977.09659375
transcript.pyannote[1441].end 7978.34534375
transcript.pyannote[1442].speaker SPEAKER_12
transcript.pyannote[1442].start 7979.77971875
transcript.pyannote[1442].end 7980.33659375
transcript.pyannote[1443].speaker SPEAKER_12
transcript.pyannote[1443].start 7980.89346875
transcript.pyannote[1443].end 7986.24284375
transcript.pyannote[1444].speaker SPEAKER_12
transcript.pyannote[1444].start 7986.74909375
transcript.pyannote[1444].end 7988.55471875
transcript.pyannote[1445].speaker SPEAKER_12
transcript.pyannote[1445].start 7988.85846875
transcript.pyannote[1445].end 7989.16221875
transcript.pyannote[1446].speaker SPEAKER_12
transcript.pyannote[1446].start 7989.60096875
transcript.pyannote[1446].end 7991.64284375
transcript.pyannote[1447].speaker SPEAKER_12
transcript.pyannote[1447].start 7991.84534375
transcript.pyannote[1447].end 7994.08971875
transcript.pyannote[1448].speaker SPEAKER_12
transcript.pyannote[1448].start 7994.79846875
transcript.pyannote[1448].end 7996.24971875
transcript.pyannote[1449].speaker SPEAKER_12
transcript.pyannote[1449].start 7996.95846875
transcript.pyannote[1449].end 7998.30846875
transcript.pyannote[1450].speaker SPEAKER_12
transcript.pyannote[1450].start 7998.40971875
transcript.pyannote[1450].end 7999.33784375
transcript.pyannote[1451].speaker SPEAKER_12
transcript.pyannote[1451].start 7999.65846875
transcript.pyannote[1451].end 8000.73846875
transcript.pyannote[1452].speaker SPEAKER_12
transcript.pyannote[1452].start 8001.04221875
transcript.pyannote[1452].end 8002.88159375
transcript.pyannote[1453].speaker SPEAKER_12
transcript.pyannote[1453].start 8003.26971875
transcript.pyannote[1453].end 8004.38346875
transcript.pyannote[1454].speaker SPEAKER_12
transcript.pyannote[1454].start 8004.48471875
transcript.pyannote[1454].end 8006.20596875
transcript.pyannote[1455].speaker SPEAKER_12
transcript.pyannote[1455].start 8006.44221875
transcript.pyannote[1455].end 8009.66534375
transcript.pyannote[1456].speaker SPEAKER_12
transcript.pyannote[1456].start 8009.69909375
transcript.pyannote[1456].end 8011.28534375
transcript.pyannote[1457].speaker SPEAKER_12
transcript.pyannote[1457].start 8011.67346875
transcript.pyannote[1457].end 8013.41159375
transcript.pyannote[1458].speaker SPEAKER_12
transcript.pyannote[1458].start 8013.51284375
transcript.pyannote[1458].end 8015.79096875
transcript.pyannote[1459].speaker SPEAKER_12
transcript.pyannote[1459].start 8016.55034375
transcript.pyannote[1459].end 8018.57534375
transcript.pyannote[1460].speaker SPEAKER_12
transcript.pyannote[1460].start 8019.92534375
transcript.pyannote[1460].end 8021.07284375
transcript.pyannote[1461].speaker SPEAKER_12
transcript.pyannote[1461].start 8021.64659375
transcript.pyannote[1461].end 8023.89096875
transcript.pyannote[1462].speaker SPEAKER_12
transcript.pyannote[1462].start 8024.43096875
transcript.pyannote[1462].end 8025.73034375
transcript.pyannote[1463].speaker SPEAKER_12
transcript.pyannote[1463].start 8026.84409375
transcript.pyannote[1463].end 8028.68346875
transcript.pyannote[1464].speaker SPEAKER_12
transcript.pyannote[1464].start 8029.35846875
transcript.pyannote[1464].end 8029.79721875
transcript.pyannote[1465].speaker SPEAKER_12
transcript.pyannote[1465].start 8030.65784375
transcript.pyannote[1465].end 8033.29034375
transcript.pyannote[1466].speaker SPEAKER_12
transcript.pyannote[1466].start 8033.66159375
transcript.pyannote[1466].end 8034.79221875
transcript.pyannote[1467].speaker SPEAKER_12
transcript.pyannote[1467].start 8035.26471875
transcript.pyannote[1467].end 8037.61034375
transcript.pyannote[1468].speaker SPEAKER_12
transcript.pyannote[1468].start 8038.13346875
transcript.pyannote[1468].end 8041.30596875
transcript.pyannote[1469].speaker SPEAKER_12
transcript.pyannote[1469].start 8041.60971875
transcript.pyannote[1469].end 8043.36471875
transcript.pyannote[1470].speaker SPEAKER_12
transcript.pyannote[1470].start 8043.71909375
transcript.pyannote[1470].end 8045.11971875
transcript.pyannote[1471].speaker SPEAKER_12
transcript.pyannote[1471].start 8045.67659375
transcript.pyannote[1471].end 8048.29221875
transcript.pyannote[1472].speaker SPEAKER_12
transcript.pyannote[1472].start 8048.76471875
transcript.pyannote[1472].end 8050.87409375
transcript.pyannote[1473].speaker SPEAKER_12
transcript.pyannote[1473].start 8051.39721875
transcript.pyannote[1473].end 8053.84409375
transcript.pyannote[1474].speaker SPEAKER_12
transcript.pyannote[1474].start 8054.35034375
transcript.pyannote[1474].end 8057.08409375
transcript.pyannote[1475].speaker SPEAKER_12
transcript.pyannote[1475].start 8057.55659375
transcript.pyannote[1475].end 8059.22721875
transcript.pyannote[1476].speaker SPEAKER_12
transcript.pyannote[1476].start 8059.78409375
transcript.pyannote[1476].end 8062.83846875
transcript.pyannote[1477].speaker SPEAKER_12
transcript.pyannote[1477].start 8063.39534375
transcript.pyannote[1477].end 8065.33596875
transcript.pyannote[1478].speaker SPEAKER_12
transcript.pyannote[1478].start 8065.82534375
transcript.pyannote[1478].end 8069.85846875
transcript.pyannote[1479].speaker SPEAKER_12
transcript.pyannote[1479].start 8070.28034375
transcript.pyannote[1479].end 8073.21659375
transcript.pyannote[1480].speaker SPEAKER_12
transcript.pyannote[1480].start 8073.38534375
transcript.pyannote[1480].end 8074.38096875
transcript.pyannote[1481].speaker SPEAKER_12
transcript.pyannote[1481].start 8074.56659375
transcript.pyannote[1481].end 8076.87846875
transcript.pyannote[1482].speaker SPEAKER_12
transcript.pyannote[1482].start 8077.13159375
transcript.pyannote[1482].end 8082.22784375
transcript.pyannote[1483].speaker SPEAKER_12
transcript.pyannote[1483].start 8082.48096875
transcript.pyannote[1483].end 8084.84346875
transcript.pyannote[1484].speaker SPEAKER_12
transcript.pyannote[1484].start 8085.23159375
transcript.pyannote[1484].end 8086.96971875
transcript.pyannote[1485].speaker SPEAKER_12
transcript.pyannote[1485].start 8087.25659375
transcript.pyannote[1485].end 8089.38284375
transcript.pyannote[1486].speaker SPEAKER_12
transcript.pyannote[1486].start 8089.70346875
transcript.pyannote[1486].end 8091.74534375
transcript.pyannote[1487].speaker SPEAKER_12
transcript.pyannote[1487].start 8092.20096875
transcript.pyannote[1487].end 8094.71534375
transcript.pyannote[1488].speaker SPEAKER_12
transcript.pyannote[1488].start 8095.52534375
transcript.pyannote[1488].end 8098.56284375
transcript.pyannote[1489].speaker SPEAKER_12
transcript.pyannote[1489].start 8098.91721875
transcript.pyannote[1489].end 8103.57471875
transcript.pyannote[1490].speaker SPEAKER_12
transcript.pyannote[1490].start 8104.19909375
transcript.pyannote[1490].end 8108.41784375
transcript.pyannote[1491].speaker SPEAKER_12
transcript.pyannote[1491].start 8109.49784375
transcript.pyannote[1491].end 8112.14721875
transcript.pyannote[1492].speaker SPEAKER_12
transcript.pyannote[1492].start 8112.85596875
transcript.pyannote[1492].end 8115.25221875
transcript.pyannote[1493].speaker SPEAKER_12
transcript.pyannote[1493].start 8115.65721875
transcript.pyannote[1493].end 8116.78784375
transcript.pyannote[1494].speaker SPEAKER_12
transcript.pyannote[1494].start 8117.26034375
transcript.pyannote[1494].end 8118.07034375
transcript.pyannote[1495].speaker SPEAKER_12
transcript.pyannote[1495].start 8118.37409375
transcript.pyannote[1495].end 8120.73659375
transcript.pyannote[1496].speaker SPEAKER_12
transcript.pyannote[1496].start 8121.05721875
transcript.pyannote[1496].end 8123.41971875
transcript.pyannote[1497].speaker SPEAKER_12
transcript.pyannote[1497].start 8123.72346875
transcript.pyannote[1497].end 8124.68534375
transcript.pyannote[1498].speaker SPEAKER_12
transcript.pyannote[1498].start 8125.05659375
transcript.pyannote[1498].end 8125.98471875
transcript.pyannote[1499].speaker SPEAKER_12
transcript.pyannote[1499].start 8126.42346875
transcript.pyannote[1499].end 8130.28784375
transcript.pyannote[1500].speaker SPEAKER_12
transcript.pyannote[1500].start 8130.50721875
transcript.pyannote[1500].end 8131.28346875
transcript.pyannote[1501].speaker SPEAKER_12
transcript.pyannote[1501].start 8131.73909375
transcript.pyannote[1501].end 8133.49409375
transcript.pyannote[1502].speaker SPEAKER_08
transcript.pyannote[1502].start 8135.40096875
transcript.pyannote[1502].end 8136.76784375
transcript.pyannote[1503].speaker SPEAKER_08
transcript.pyannote[1503].start 8142.96096875
transcript.pyannote[1503].end 8146.26846875
transcript.pyannote[1504].speaker SPEAKER_08
transcript.pyannote[1504].start 8146.55534375
transcript.pyannote[1504].end 8149.72784375
transcript.pyannote[1505].speaker SPEAKER_08
transcript.pyannote[1505].start 8150.08221875
transcript.pyannote[1505].end 8152.39409375
transcript.pyannote[1506].speaker SPEAKER_08
transcript.pyannote[1506].start 8152.46159375
transcript.pyannote[1506].end 8154.01409375
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 8154.43596875
transcript.pyannote[1507].end 8157.22034375
transcript.pyannote[1508].speaker SPEAKER_08
transcript.pyannote[1508].start 8157.42284375
transcript.pyannote[1508].end 8163.59909375
transcript.pyannote[1509].speaker SPEAKER_08
transcript.pyannote[1509].start 8164.00409375
transcript.pyannote[1509].end 8164.29096875
transcript.pyannote[1510].speaker SPEAKER_08
transcript.pyannote[1510].start 8166.36659375
transcript.pyannote[1510].end 8168.54346875
transcript.pyannote[1511].speaker SPEAKER_08
transcript.pyannote[1511].start 8173.06596875
transcript.pyannote[1511].end 8173.43721875
transcript.pyannote[1512].speaker SPEAKER_08
transcript.pyannote[1512].start 8173.74096875
transcript.pyannote[1512].end 8174.44971875
transcript.pyannote[1513].speaker SPEAKER_08
transcript.pyannote[1513].start 8177.62221875
transcript.pyannote[1513].end 8177.79096875
transcript.pyannote[1514].speaker SPEAKER_08
transcript.pyannote[1514].start 8178.46596875
transcript.pyannote[1514].end 8179.15784375
transcript.pyannote[1515].speaker SPEAKER_15
transcript.pyannote[1515].start 8179.68096875
transcript.pyannote[1515].end 8180.10284375
transcript.pyannote[1516].speaker SPEAKER_15
transcript.pyannote[1516].start 8180.55846875
transcript.pyannote[1516].end 8207.06909375
transcript.pyannote[1517].speaker SPEAKER_15
transcript.pyannote[1517].start 8207.35596875
transcript.pyannote[1517].end 8209.22909375
transcript.pyannote[1518].speaker SPEAKER_15
transcript.pyannote[1518].start 8209.51596875
transcript.pyannote[1518].end 8211.23721875
transcript.pyannote[1519].speaker SPEAKER_15
transcript.pyannote[1519].start 8211.81096875
transcript.pyannote[1519].end 8215.45596875
transcript.pyannote[1520].speaker SPEAKER_15
transcript.pyannote[1520].start 8215.65846875
transcript.pyannote[1520].end 8221.37909375
transcript.pyannote[1521].speaker SPEAKER_15
transcript.pyannote[1521].start 8221.64909375
transcript.pyannote[1521].end 8224.28159375
transcript.pyannote[1522].speaker SPEAKER_15
transcript.pyannote[1522].start 8224.46721875
transcript.pyannote[1522].end 8232.36471875
transcript.pyannote[1523].speaker SPEAKER_15
transcript.pyannote[1523].start 8232.83721875
transcript.pyannote[1523].end 8234.50784375
transcript.pyannote[1524].speaker SPEAKER_15
transcript.pyannote[1524].start 8234.91284375
transcript.pyannote[1524].end 8235.48659375
transcript.pyannote[1525].speaker SPEAKER_15
transcript.pyannote[1525].start 8236.07721875
transcript.pyannote[1525].end 8237.93346875
transcript.pyannote[1526].speaker SPEAKER_15
transcript.pyannote[1526].start 8238.01784375
transcript.pyannote[1526].end 8240.24534375
transcript.pyannote[1527].speaker SPEAKER_15
transcript.pyannote[1527].start 8240.54909375
transcript.pyannote[1527].end 8241.59534375
transcript.pyannote[1528].speaker SPEAKER_15
transcript.pyannote[1528].start 8242.11846875
transcript.pyannote[1528].end 8242.57409375
transcript.pyannote[1529].speaker SPEAKER_15
transcript.pyannote[1529].start 8242.99596875
transcript.pyannote[1529].end 8261.32221875
transcript.pyannote[1530].speaker SPEAKER_15
transcript.pyannote[1530].start 8262.11534375
transcript.pyannote[1530].end 8273.33721875
transcript.pyannote[1531].speaker SPEAKER_15
transcript.pyannote[1531].start 8273.52284375
transcript.pyannote[1531].end 8284.66034375
transcript.pyannote[1532].speaker SPEAKER_15
transcript.pyannote[1532].start 8284.76159375
transcript.pyannote[1532].end 8290.39784375
transcript.pyannote[1533].speaker SPEAKER_15
transcript.pyannote[1533].start 8290.71846875
transcript.pyannote[1533].end 8295.57846875
transcript.pyannote[1534].speaker SPEAKER_15
transcript.pyannote[1534].start 8296.25346875
transcript.pyannote[1534].end 8296.72596875
transcript.pyannote[1535].speaker SPEAKER_15
transcript.pyannote[1535].start 8297.08034375
transcript.pyannote[1535].end 8299.99971875
transcript.pyannote[1536].speaker SPEAKER_15
transcript.pyannote[1536].start 8300.37096875
transcript.pyannote[1536].end 8307.37409375
transcript.pyannote[1537].speaker SPEAKER_15
transcript.pyannote[1537].start 8307.72846875
transcript.pyannote[1537].end 8313.02721875
transcript.pyannote[1538].speaker SPEAKER_15
transcript.pyannote[1538].start 8313.31409375
transcript.pyannote[1538].end 8314.17471875
transcript.pyannote[1539].speaker SPEAKER_15
transcript.pyannote[1539].start 8314.66409375
transcript.pyannote[1539].end 8315.08596875
transcript.pyannote[1540].speaker SPEAKER_15
transcript.pyannote[1540].start 8315.55846875
transcript.pyannote[1540].end 8318.88284375
transcript.pyannote[1541].speaker SPEAKER_15
transcript.pyannote[1541].start 8318.93346875
transcript.pyannote[1541].end 8339.99346875
transcript.pyannote[1542].speaker SPEAKER_08
transcript.pyannote[1542].start 8344.88721875
transcript.pyannote[1542].end 8347.24971875
transcript.pyannote[1543].speaker SPEAKER_08
transcript.pyannote[1543].start 8347.75596875
transcript.pyannote[1543].end 8348.53221875
transcript.pyannote[1544].speaker SPEAKER_08
transcript.pyannote[1544].start 8349.20721875
transcript.pyannote[1544].end 8349.93284375
transcript.pyannote[1545].speaker SPEAKER_08
transcript.pyannote[1545].start 8349.94971875
transcript.pyannote[1545].end 8349.96659375
transcript.pyannote[1546].speaker SPEAKER_08
transcript.pyannote[1546].start 8350.20284375
transcript.pyannote[1546].end 8351.55284375
transcript.pyannote[1547].speaker SPEAKER_07
transcript.pyannote[1547].start 8354.26971875
transcript.pyannote[1547].end 8355.28221875
transcript.pyannote[1548].speaker SPEAKER_07
transcript.pyannote[1548].start 8355.87284375
transcript.pyannote[1548].end 8356.64909375
transcript.pyannote[1549].speaker SPEAKER_07
transcript.pyannote[1549].start 8357.76284375
transcript.pyannote[1549].end 8359.24784375
transcript.pyannote[1550].speaker SPEAKER_08
transcript.pyannote[1550].start 8359.70346875
transcript.pyannote[1550].end 8361.20534375
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 8361.82971875
transcript.pyannote[1551].end 8366.40284375
transcript.pyannote[1552].speaker SPEAKER_04
transcript.pyannote[1552].start 8374.65471875
transcript.pyannote[1552].end 8377.38846875
transcript.pyannote[1553].speaker SPEAKER_04
transcript.pyannote[1553].start 8377.70909375
transcript.pyannote[1553].end 8378.18159375
transcript.pyannote[1554].speaker SPEAKER_04
transcript.pyannote[1554].start 8378.53596875
transcript.pyannote[1554].end 8378.63721875
transcript.pyannote[1555].speaker SPEAKER_04
transcript.pyannote[1555].start 8379.09284375
transcript.pyannote[1555].end 8380.57784375
transcript.pyannote[1556].speaker SPEAKER_04
transcript.pyannote[1556].start 8381.01659375
transcript.pyannote[1556].end 8383.46346875
transcript.pyannote[1557].speaker SPEAKER_04
transcript.pyannote[1557].start 8384.13846875
transcript.pyannote[1557].end 8392.47471875
transcript.pyannote[1558].speaker SPEAKER_04
transcript.pyannote[1558].start 8392.91346875
transcript.pyannote[1558].end 8394.09471875
transcript.pyannote[1559].speaker SPEAKER_04
transcript.pyannote[1559].start 8394.66846875
transcript.pyannote[1559].end 8395.61346875
transcript.pyannote[1560].speaker SPEAKER_04
transcript.pyannote[1560].start 8395.69784375
transcript.pyannote[1560].end 8401.53659375
transcript.pyannote[1561].speaker SPEAKER_04
transcript.pyannote[1561].start 8401.87409375
transcript.pyannote[1561].end 8422.98471875
transcript.pyannote[1562].speaker SPEAKER_04
transcript.pyannote[1562].start 8423.22096875
transcript.pyannote[1562].end 8429.32971875
transcript.pyannote[1563].speaker SPEAKER_04
transcript.pyannote[1563].start 8429.53221875
transcript.pyannote[1563].end 8433.19409375
transcript.pyannote[1564].speaker SPEAKER_04
transcript.pyannote[1564].start 8433.61596875
transcript.pyannote[1564].end 8437.04159375
transcript.pyannote[1565].speaker SPEAKER_04
transcript.pyannote[1565].start 8437.49721875
transcript.pyannote[1565].end 8445.24284375
transcript.pyannote[1566].speaker SPEAKER_04
transcript.pyannote[1566].start 8445.66471875
transcript.pyannote[1566].end 8448.04409375
transcript.pyannote[1567].speaker SPEAKER_04
transcript.pyannote[1567].start 8448.41534375
transcript.pyannote[1567].end 8450.72721875
transcript.pyannote[1568].speaker SPEAKER_04
transcript.pyannote[1568].start 8451.23346875
transcript.pyannote[1568].end 8455.13159375
transcript.pyannote[1569].speaker SPEAKER_04
transcript.pyannote[1569].start 8455.73909375
transcript.pyannote[1569].end 8470.65659375
transcript.pyannote[1570].speaker SPEAKER_04
transcript.pyannote[1570].start 8470.75784375
transcript.pyannote[1570].end 8478.01409375
transcript.pyannote[1571].speaker SPEAKER_04
transcript.pyannote[1571].start 8478.35159375
transcript.pyannote[1571].end 8481.77721875
transcript.pyannote[1572].speaker SPEAKER_04
transcript.pyannote[1572].start 8482.24971875
transcript.pyannote[1572].end 8486.06346875
transcript.pyannote[1573].speaker SPEAKER_04
transcript.pyannote[1573].start 8486.58659375
transcript.pyannote[1573].end 8494.19721875
transcript.pyannote[1574].speaker SPEAKER_04
transcript.pyannote[1574].start 8494.36596875
transcript.pyannote[1574].end 8501.28471875
transcript.pyannote[1575].speaker SPEAKER_04
transcript.pyannote[1575].start 8501.62221875
transcript.pyannote[1575].end 8502.98909375
transcript.pyannote[1576].speaker SPEAKER_04
transcript.pyannote[1576].start 8503.12409375
transcript.pyannote[1576].end 8505.99284375
transcript.pyannote[1577].speaker SPEAKER_04
transcript.pyannote[1577].start 8506.60034375
transcript.pyannote[1577].end 8518.04159375
transcript.pyannote[1578].speaker SPEAKER_04
transcript.pyannote[1578].start 8518.39596875
transcript.pyannote[1578].end 8522.58096875
transcript.pyannote[1579].speaker SPEAKER_04
transcript.pyannote[1579].start 8523.20534375
transcript.pyannote[1579].end 8524.48784375
transcript.pyannote[1580].speaker SPEAKER_04
transcript.pyannote[1580].start 8525.16284375
transcript.pyannote[1580].end 8527.57596875
transcript.pyannote[1581].speaker SPEAKER_04
transcript.pyannote[1581].start 8527.82909375
transcript.pyannote[1581].end 8531.06909375
transcript.pyannote[1582].speaker SPEAKER_04
transcript.pyannote[1582].start 8531.20409375
transcript.pyannote[1582].end 8531.92971875
transcript.pyannote[1583].speaker SPEAKER_04
transcript.pyannote[1583].start 8532.30096875
transcript.pyannote[1583].end 8534.51159375
transcript.pyannote[1584].speaker SPEAKER_04
transcript.pyannote[1584].start 8534.88284375
transcript.pyannote[1584].end 8551.45409375
transcript.pyannote[1585].speaker SPEAKER_04
transcript.pyannote[1585].start 8552.11221875
transcript.pyannote[1585].end 8556.24659375
transcript.pyannote[1586].speaker SPEAKER_04
transcript.pyannote[1586].start 8556.73596875
transcript.pyannote[1586].end 8558.13659375
transcript.pyannote[1587].speaker SPEAKER_04
transcript.pyannote[1587].start 8558.45721875
transcript.pyannote[1587].end 8560.98846875
transcript.pyannote[1588].speaker SPEAKER_04
transcript.pyannote[1588].start 8561.51159375
transcript.pyannote[1588].end 8573.77971875
transcript.pyannote[1589].speaker SPEAKER_04
transcript.pyannote[1589].start 8574.11721875
transcript.pyannote[1589].end 8576.00721875
transcript.pyannote[1590].speaker SPEAKER_04
transcript.pyannote[1590].start 8576.22659375
transcript.pyannote[1590].end 8577.76221875
transcript.pyannote[1591].speaker SPEAKER_04
transcript.pyannote[1591].start 8577.79596875
transcript.pyannote[1591].end 8579.11221875
transcript.pyannote[1592].speaker SPEAKER_04
transcript.pyannote[1592].start 8579.48346875
transcript.pyannote[1592].end 8580.32721875
transcript.pyannote[1593].speaker SPEAKER_04
transcript.pyannote[1593].start 8581.06971875
transcript.pyannote[1593].end 8582.03159375
transcript.pyannote[1594].speaker SPEAKER_04
transcript.pyannote[1594].start 8582.65596875
transcript.pyannote[1594].end 8582.97659375
transcript.pyannote[1595].speaker SPEAKER_04
transcript.pyannote[1595].start 8583.49971875
transcript.pyannote[1595].end 8585.64284375
transcript.pyannote[1596].speaker SPEAKER_04
transcript.pyannote[1596].start 8586.21659375
transcript.pyannote[1596].end 8587.26284375
transcript.pyannote[1597].speaker SPEAKER_04
transcript.pyannote[1597].start 8587.85346875
transcript.pyannote[1597].end 8591.05971875
transcript.pyannote[1598].speaker SPEAKER_04
transcript.pyannote[1598].start 8591.61659375
transcript.pyannote[1598].end 8595.91971875
transcript.pyannote[1599].speaker SPEAKER_04
transcript.pyannote[1599].start 8596.37534375
transcript.pyannote[1599].end 8605.36971875
transcript.pyannote[1600].speaker SPEAKER_04
transcript.pyannote[1600].start 8605.67346875
transcript.pyannote[1600].end 8613.41909375
transcript.pyannote[1601].speaker SPEAKER_04
transcript.pyannote[1601].start 8614.29659375
transcript.pyannote[1601].end 8616.43971875
transcript.pyannote[1602].speaker SPEAKER_04
transcript.pyannote[1602].start 8616.97971875
transcript.pyannote[1602].end 8618.14409375
transcript.pyannote[1603].speaker SPEAKER_04
transcript.pyannote[1603].start 8618.58284375
transcript.pyannote[1603].end 8622.80159375
transcript.pyannote[1604].speaker SPEAKER_04
transcript.pyannote[1604].start 8622.93659375
transcript.pyannote[1604].end 8630.54721875
transcript.pyannote[1605].speaker SPEAKER_04
transcript.pyannote[1605].start 8630.80034375
transcript.pyannote[1605].end 8650.93221875
transcript.pyannote[1606].speaker SPEAKER_04
transcript.pyannote[1606].start 8651.06721875
transcript.pyannote[1606].end 8660.82096875
transcript.pyannote[1607].speaker SPEAKER_04
transcript.pyannote[1607].start 8661.05721875
transcript.pyannote[1607].end 8663.63909375
transcript.pyannote[1608].speaker SPEAKER_04
transcript.pyannote[1608].start 8664.33096875
transcript.pyannote[1608].end 8664.87096875
transcript.pyannote[1609].speaker SPEAKER_04
transcript.pyannote[1609].start 8665.54596875
transcript.pyannote[1609].end 8666.74409375
transcript.pyannote[1610].speaker SPEAKER_04
transcript.pyannote[1610].start 8667.35159375
transcript.pyannote[1610].end 8669.12346875
transcript.pyannote[1611].speaker SPEAKER_04
transcript.pyannote[1611].start 8669.32596875
transcript.pyannote[1611].end 8670.16971875
transcript.pyannote[1612].speaker SPEAKER_04
transcript.pyannote[1612].start 8670.77721875
transcript.pyannote[1612].end 8675.80596875
transcript.pyannote[1613].speaker SPEAKER_04
transcript.pyannote[1613].start 8676.12659375
transcript.pyannote[1613].end 8690.58846875
transcript.pyannote[1614].speaker SPEAKER_04
transcript.pyannote[1614].start 8691.36471875
transcript.pyannote[1614].end 8693.47409375
transcript.pyannote[1615].speaker SPEAKER_04
transcript.pyannote[1615].start 8694.16596875
transcript.pyannote[1615].end 8695.09409375
transcript.pyannote[1616].speaker SPEAKER_04
transcript.pyannote[1616].start 8695.87034375
transcript.pyannote[1616].end 8696.71409375
transcript.pyannote[1617].speaker SPEAKER_04
transcript.pyannote[1617].start 8696.96721875
transcript.pyannote[1617].end 8701.40534375
transcript.pyannote[1618].speaker SPEAKER_04
transcript.pyannote[1618].start 8701.79346875
transcript.pyannote[1618].end 8707.31159375
transcript.pyannote[1619].speaker SPEAKER_04
transcript.pyannote[1619].start 8708.00346875
transcript.pyannote[1619].end 8709.57284375
transcript.pyannote[1620].speaker SPEAKER_04
transcript.pyannote[1620].start 8709.92721875
transcript.pyannote[1620].end 8714.33159375
transcript.pyannote[1621].speaker SPEAKER_04
transcript.pyannote[1621].start 8714.44971875
transcript.pyannote[1621].end 8717.90909375
transcript.pyannote[1622].speaker SPEAKER_04
transcript.pyannote[1622].start 8718.29721875
transcript.pyannote[1622].end 8718.93846875
transcript.pyannote[1623].speaker SPEAKER_04
transcript.pyannote[1623].start 8719.47846875
transcript.pyannote[1623].end 8721.77346875
transcript.pyannote[1624].speaker SPEAKER_04
transcript.pyannote[1624].start 8721.79034375
transcript.pyannote[1624].end 8723.73096875
transcript.pyannote[1625].speaker SPEAKER_04
transcript.pyannote[1625].start 8724.28784375
transcript.pyannote[1625].end 8727.69659375
transcript.pyannote[1626].speaker SPEAKER_04
transcript.pyannote[1626].start 8728.21971875
transcript.pyannote[1626].end 8729.43471875
transcript.pyannote[1627].speaker SPEAKER_04
transcript.pyannote[1627].start 8729.58659375
transcript.pyannote[1627].end 8734.00784375
transcript.pyannote[1628].speaker SPEAKER_04
transcript.pyannote[1628].start 8734.10909375
transcript.pyannote[1628].end 8735.66159375
transcript.pyannote[1629].speaker SPEAKER_04
transcript.pyannote[1629].start 8736.16784375
transcript.pyannote[1629].end 8737.72034375
transcript.pyannote[1630].speaker SPEAKER_04
transcript.pyannote[1630].start 8737.73721875
transcript.pyannote[1630].end 8741.77034375
transcript.pyannote[1631].speaker SPEAKER_04
transcript.pyannote[1631].start 8742.14159375
transcript.pyannote[1631].end 8744.38596875
transcript.pyannote[1632].speaker SPEAKER_04
transcript.pyannote[1632].start 8744.50409375
transcript.pyannote[1632].end 8745.49971875
transcript.pyannote[1633].speaker SPEAKER_04
transcript.pyannote[1633].start 8746.02284375
transcript.pyannote[1633].end 8747.45721875
transcript.pyannote[1634].speaker SPEAKER_04
transcript.pyannote[1634].start 8747.82846875
transcript.pyannote[1634].end 8748.72284375
transcript.pyannote[1635].speaker SPEAKER_04
transcript.pyannote[1635].start 8749.65096875
transcript.pyannote[1635].end 8750.25846875
transcript.pyannote[1636].speaker SPEAKER_04
transcript.pyannote[1636].start 8750.74784375
transcript.pyannote[1636].end 8752.80659375
transcript.pyannote[1637].speaker SPEAKER_04
transcript.pyannote[1637].start 8753.34659375
transcript.pyannote[1637].end 8755.50659375
transcript.pyannote[1638].speaker SPEAKER_04
transcript.pyannote[1638].start 8755.65846875
transcript.pyannote[1638].end 8760.01221875
transcript.pyannote[1639].speaker SPEAKER_08
transcript.pyannote[1639].start 8761.98659375
transcript.pyannote[1639].end 8763.33659375
transcript.pyannote[1640].speaker SPEAKER_08
transcript.pyannote[1640].start 8763.89346875
transcript.pyannote[1640].end 8767.04909375
transcript.pyannote[1641].speaker SPEAKER_05
transcript.pyannote[1641].start 8785.71284375
transcript.pyannote[1641].end 8792.24346875
transcript.pyannote[1642].speaker SPEAKER_05
transcript.pyannote[1642].start 8792.47971875
transcript.pyannote[1642].end 8801.22096875
transcript.pyannote[1643].speaker SPEAKER_05
transcript.pyannote[1643].start 8801.69346875
transcript.pyannote[1643].end 8807.36346875
transcript.pyannote[1644].speaker SPEAKER_05
transcript.pyannote[1644].start 8807.86971875
transcript.pyannote[1644].end 8810.92409375
transcript.pyannote[1645].speaker SPEAKER_05
transcript.pyannote[1645].start 8811.34596875
transcript.pyannote[1645].end 8815.26096875
transcript.pyannote[1646].speaker SPEAKER_05
transcript.pyannote[1646].start 8815.96971875
transcript.pyannote[1646].end 8825.74034375
transcript.pyannote[1647].speaker SPEAKER_05
transcript.pyannote[1647].start 8826.21284375
transcript.pyannote[1647].end 8827.61346875
transcript.pyannote[1648].speaker SPEAKER_05
transcript.pyannote[1648].start 8827.90034375
transcript.pyannote[1648].end 8832.01784375
transcript.pyannote[1649].speaker SPEAKER_05
transcript.pyannote[1649].start 8832.30471875
transcript.pyannote[1649].end 8836.89471875
transcript.pyannote[1650].speaker SPEAKER_05
transcript.pyannote[1650].start 8837.14784375
transcript.pyannote[1650].end 8851.54221875
transcript.pyannote[1651].speaker SPEAKER_05
transcript.pyannote[1651].start 8851.81221875
transcript.pyannote[1651].end 8866.05471875
transcript.pyannote[1652].speaker SPEAKER_05
transcript.pyannote[1652].start 8866.74659375
transcript.pyannote[1652].end 8901.40784375
transcript.pyannote[1653].speaker SPEAKER_05
transcript.pyannote[1653].start 8902.08284375
transcript.pyannote[1653].end 8903.29784375
transcript.pyannote[1654].speaker SPEAKER_05
transcript.pyannote[1654].start 8903.46659375
transcript.pyannote[1654].end 8907.06096875
transcript.pyannote[1655].speaker SPEAKER_05
transcript.pyannote[1655].start 8907.29721875
transcript.pyannote[1655].end 8910.89159375
transcript.pyannote[1656].speaker SPEAKER_05
transcript.pyannote[1656].start 8911.53284375
transcript.pyannote[1656].end 8922.16409375
transcript.pyannote[1657].speaker SPEAKER_05
transcript.pyannote[1657].start 8922.23159375
transcript.pyannote[1657].end 8930.50034375
transcript.pyannote[1658].speaker SPEAKER_05
transcript.pyannote[1658].start 8931.07409375
transcript.pyannote[1658].end 8951.03721875
transcript.pyannote[1659].speaker SPEAKER_05
transcript.pyannote[1659].start 8951.45909375
transcript.pyannote[1659].end 8956.06596875
transcript.pyannote[1660].speaker SPEAKER_05
transcript.pyannote[1660].start 8956.18409375
transcript.pyannote[1660].end 8966.84909375
transcript.pyannote[1661].speaker SPEAKER_05
transcript.pyannote[1661].start 8967.43971875
transcript.pyannote[1661].end 8970.57846875
transcript.pyannote[1662].speaker SPEAKER_05
transcript.pyannote[1662].start 8971.15221875
transcript.pyannote[1662].end 9019.65096875
transcript.pyannote[1663].speaker SPEAKER_05
transcript.pyannote[1663].start 9019.88721875
transcript.pyannote[1663].end 9028.59471875
transcript.pyannote[1664].speaker SPEAKER_05
transcript.pyannote[1664].start 9029.08409375
transcript.pyannote[1664].end 9061.78784375
transcript.pyannote[1665].speaker SPEAKER_05
transcript.pyannote[1665].start 9062.76659375
transcript.pyannote[1665].end 9067.03596875
transcript.pyannote[1666].speaker SPEAKER_05
transcript.pyannote[1666].start 9067.60971875
transcript.pyannote[1666].end 9072.33471875
transcript.pyannote[1667].speaker SPEAKER_05
transcript.pyannote[1667].start 9072.70596875
transcript.pyannote[1667].end 9092.19659375
transcript.pyannote[1668].speaker SPEAKER_05
transcript.pyannote[1668].start 9092.68596875
transcript.pyannote[1668].end 9095.47034375
transcript.pyannote[1669].speaker SPEAKER_05
transcript.pyannote[1669].start 9100.36409375
transcript.pyannote[1669].end 9100.38096875
transcript.pyannote[1670].speaker SPEAKER_08
transcript.pyannote[1670].start 9100.38096875
transcript.pyannote[1670].end 9101.41034375
transcript.pyannote[1671].speaker SPEAKER_08
transcript.pyannote[1671].start 9102.01784375
transcript.pyannote[1671].end 9106.43909375
transcript.pyannote[1672].speaker SPEAKER_03
transcript.pyannote[1672].start 9116.05784375
transcript.pyannote[1672].end 9122.31846875
transcript.pyannote[1673].speaker SPEAKER_03
transcript.pyannote[1673].start 9122.70659375
transcript.pyannote[1673].end 9129.11909375
transcript.pyannote[1674].speaker SPEAKER_03
transcript.pyannote[1674].start 9129.47346875
transcript.pyannote[1674].end 9134.56971875
transcript.pyannote[1675].speaker SPEAKER_03
transcript.pyannote[1675].start 9134.82284375
transcript.pyannote[1675].end 9135.81846875
transcript.pyannote[1676].speaker SPEAKER_03
transcript.pyannote[1676].start 9136.03784375
transcript.pyannote[1676].end 9136.32471875
transcript.pyannote[1677].speaker SPEAKER_03
transcript.pyannote[1677].start 9136.74659375
transcript.pyannote[1677].end 9139.91909375
transcript.pyannote[1678].speaker SPEAKER_03
transcript.pyannote[1678].start 9140.20596875
transcript.pyannote[1678].end 9140.93159375
transcript.pyannote[1679].speaker SPEAKER_03
transcript.pyannote[1679].start 9141.26909375
transcript.pyannote[1679].end 9150.17909375
transcript.pyannote[1680].speaker SPEAKER_03
transcript.pyannote[1680].start 9150.39846875
transcript.pyannote[1680].end 9161.56971875
transcript.pyannote[1681].speaker SPEAKER_03
transcript.pyannote[1681].start 9161.89034375
transcript.pyannote[1681].end 9170.46284375
transcript.pyannote[1682].speaker SPEAKER_03
transcript.pyannote[1682].start 9170.73284375
transcript.pyannote[1682].end 9188.24909375
transcript.pyannote[1683].speaker SPEAKER_03
transcript.pyannote[1683].start 9188.55284375
transcript.pyannote[1683].end 9195.74159375
transcript.pyannote[1684].speaker SPEAKER_03
transcript.pyannote[1684].start 9196.75409375
transcript.pyannote[1684].end 9203.90909375
transcript.pyannote[1685].speaker SPEAKER_03
transcript.pyannote[1685].start 9204.17909375
transcript.pyannote[1685].end 9208.34721875
transcript.pyannote[1686].speaker SPEAKER_03
transcript.pyannote[1686].start 9208.41471875
transcript.pyannote[1686].end 9210.03471875
transcript.pyannote[1687].speaker SPEAKER_03
transcript.pyannote[1687].start 9210.13596875
transcript.pyannote[1687].end 9214.15221875
transcript.pyannote[1688].speaker SPEAKER_03
transcript.pyannote[1688].start 9214.33784375
transcript.pyannote[1688].end 9214.97909375
transcript.pyannote[1689].speaker SPEAKER_03
transcript.pyannote[1689].start 9215.35034375
transcript.pyannote[1689].end 9216.00846875
transcript.pyannote[1690].speaker SPEAKER_03
transcript.pyannote[1690].start 9216.56534375
transcript.pyannote[1690].end 9219.80534375
transcript.pyannote[1691].speaker SPEAKER_03
transcript.pyannote[1691].start 9219.97409375
transcript.pyannote[1691].end 9228.86721875
transcript.pyannote[1692].speaker SPEAKER_03
transcript.pyannote[1692].start 9229.06971875
transcript.pyannote[1692].end 9229.52534375
transcript.pyannote[1693].speaker SPEAKER_03
transcript.pyannote[1693].start 9229.69409375
transcript.pyannote[1693].end 9230.87534375
transcript.pyannote[1694].speaker SPEAKER_03
transcript.pyannote[1694].start 9231.24659375
transcript.pyannote[1694].end 9238.68846875
transcript.pyannote[1695].speaker SPEAKER_03
transcript.pyannote[1695].start 9238.80659375
transcript.pyannote[1695].end 9242.04659375
transcript.pyannote[1696].speaker SPEAKER_03
transcript.pyannote[1696].start 9242.23221875
transcript.pyannote[1696].end 9244.49346875
transcript.pyannote[1697].speaker SPEAKER_03
transcript.pyannote[1697].start 9244.84784375
transcript.pyannote[1697].end 9253.20096875
transcript.pyannote[1698].speaker SPEAKER_03
transcript.pyannote[1698].start 9253.23471875
transcript.pyannote[1698].end 9256.27221875
transcript.pyannote[1699].speaker SPEAKER_03
transcript.pyannote[1699].start 9256.57596875
transcript.pyannote[1699].end 9261.03096875
transcript.pyannote[1700].speaker SPEAKER_03
transcript.pyannote[1700].start 9262.04346875
transcript.pyannote[1700].end 9265.43534375
transcript.pyannote[1701].speaker SPEAKER_03
transcript.pyannote[1701].start 9265.51971875
transcript.pyannote[1701].end 9270.10971875
transcript.pyannote[1702].speaker SPEAKER_03
transcript.pyannote[1702].start 9271.32471875
transcript.pyannote[1702].end 9281.66909375
transcript.pyannote[1703].speaker SPEAKER_03
transcript.pyannote[1703].start 9281.98971875
transcript.pyannote[1703].end 9289.80284375
transcript.pyannote[1704].speaker SPEAKER_03
transcript.pyannote[1704].start 9290.98409375
transcript.pyannote[1704].end 9299.32034375
transcript.pyannote[1705].speaker SPEAKER_03
transcript.pyannote[1705].start 9300.31596875
transcript.pyannote[1705].end 9301.41284375
transcript.pyannote[1706].speaker SPEAKER_03
transcript.pyannote[1706].start 9301.73346875
transcript.pyannote[1706].end 9306.88034375
transcript.pyannote[1707].speaker SPEAKER_03
transcript.pyannote[1707].start 9306.93096875
transcript.pyannote[1707].end 9310.59284375
transcript.pyannote[1708].speaker SPEAKER_03
transcript.pyannote[1708].start 9310.91346875
transcript.pyannote[1708].end 9315.58784375
transcript.pyannote[1709].speaker SPEAKER_03
transcript.pyannote[1709].start 9315.75659375
transcript.pyannote[1709].end 9318.35534375
transcript.pyannote[1710].speaker SPEAKER_03
transcript.pyannote[1710].start 9318.42284375
transcript.pyannote[1710].end 9333.50909375
transcript.pyannote[1711].speaker SPEAKER_03
transcript.pyannote[1711].start 9333.74534375
transcript.pyannote[1711].end 9337.12034375
transcript.pyannote[1712].speaker SPEAKER_03
transcript.pyannote[1712].start 9337.20471875
transcript.pyannote[1712].end 9340.91721875
transcript.pyannote[1713].speaker SPEAKER_03
transcript.pyannote[1713].start 9341.22096875
transcript.pyannote[1713].end 9345.60846875
transcript.pyannote[1714].speaker SPEAKER_03
transcript.pyannote[1714].start 9345.89534375
transcript.pyannote[1714].end 9349.16909375
transcript.pyannote[1715].speaker SPEAKER_03
transcript.pyannote[1715].start 9349.43909375
transcript.pyannote[1715].end 9352.34159375
transcript.pyannote[1716].speaker SPEAKER_03
transcript.pyannote[1716].start 9353.47221875
transcript.pyannote[1716].end 9359.34471875
transcript.pyannote[1717].speaker SPEAKER_03
transcript.pyannote[1717].start 9359.54721875
transcript.pyannote[1717].end 9360.59346875
transcript.pyannote[1718].speaker SPEAKER_03
transcript.pyannote[1718].start 9360.64409375
transcript.pyannote[1718].end 9363.58034375
transcript.pyannote[1719].speaker SPEAKER_03
transcript.pyannote[1719].start 9363.78284375
transcript.pyannote[1719].end 9370.63409375
transcript.pyannote[1720].speaker SPEAKER_03
transcript.pyannote[1720].start 9370.97159375
transcript.pyannote[1720].end 9374.73471875
transcript.pyannote[1721].speaker SPEAKER_03
transcript.pyannote[1721].start 9374.90346875
transcript.pyannote[1721].end 9388.21784375
transcript.pyannote[1722].speaker SPEAKER_03
transcript.pyannote[1722].start 9389.24721875
transcript.pyannote[1722].end 9394.91721875
transcript.pyannote[1723].speaker SPEAKER_03
transcript.pyannote[1723].start 9395.32221875
transcript.pyannote[1723].end 9404.02971875
transcript.pyannote[1724].speaker SPEAKER_03
transcript.pyannote[1724].start 9404.11409375
transcript.pyannote[1724].end 9410.74596875
transcript.pyannote[1725].speaker SPEAKER_03
transcript.pyannote[1725].start 9411.03284375
transcript.pyannote[1725].end 9423.52034375
transcript.pyannote[1726].speaker SPEAKER_03
transcript.pyannote[1726].start 9423.80721875
transcript.pyannote[1726].end 9426.11909375
transcript.pyannote[1727].speaker SPEAKER_03
transcript.pyannote[1727].start 9426.50721875
transcript.pyannote[1727].end 9428.78534375
transcript.pyannote[1728].speaker SPEAKER_03
transcript.pyannote[1728].start 9429.08909375
transcript.pyannote[1728].end 9433.34159375
transcript.pyannote[1729].speaker SPEAKER_03
transcript.pyannote[1729].start 9433.49346875
transcript.pyannote[1729].end 9435.36659375
transcript.pyannote[1730].speaker SPEAKER_08
transcript.pyannote[1730].start 9439.31534375
transcript.pyannote[1730].end 9444.95159375
transcript.pyannote[1731].speaker SPEAKER_00
transcript.pyannote[1731].start 9452.03909375
transcript.pyannote[1731].end 9454.55346875
transcript.pyannote[1732].speaker SPEAKER_00
transcript.pyannote[1732].start 9455.75159375
transcript.pyannote[1732].end 9459.05909375
transcript.pyannote[1733].speaker SPEAKER_00
transcript.pyannote[1733].start 9459.41346875
transcript.pyannote[1733].end 9464.69534375
transcript.pyannote[1734].speaker SPEAKER_00
transcript.pyannote[1734].start 9464.86409375
transcript.pyannote[1734].end 9465.52221875
transcript.pyannote[1735].speaker SPEAKER_00
transcript.pyannote[1735].start 9466.12971875
transcript.pyannote[1735].end 9474.87096875
transcript.pyannote[1736].speaker SPEAKER_00
transcript.pyannote[1736].start 9475.68096875
transcript.pyannote[1736].end 9481.62096875
transcript.pyannote[1737].speaker SPEAKER_00
transcript.pyannote[1737].start 9482.09346875
transcript.pyannote[1737].end 9501.07784375
transcript.pyannote[1738].speaker SPEAKER_00
transcript.pyannote[1738].start 9501.63471875
transcript.pyannote[1738].end 9506.79846875
transcript.pyannote[1739].speaker SPEAKER_00
transcript.pyannote[1739].start 9507.06846875
transcript.pyannote[1739].end 9513.34596875
transcript.pyannote[1740].speaker SPEAKER_00
transcript.pyannote[1740].start 9514.91534375
transcript.pyannote[1740].end 9524.29784375
transcript.pyannote[1741].speaker SPEAKER_00
transcript.pyannote[1741].start 9524.90534375
transcript.pyannote[1741].end 9535.14846875
transcript.pyannote[1742].speaker SPEAKER_00
transcript.pyannote[1742].start 9535.36784375
transcript.pyannote[1742].end 9537.86534375
transcript.pyannote[1743].speaker SPEAKER_00
transcript.pyannote[1743].start 9538.25346875
transcript.pyannote[1743].end 9548.96909375
transcript.pyannote[1744].speaker SPEAKER_00
transcript.pyannote[1744].start 9549.76221875
transcript.pyannote[1744].end 9557.65971875
transcript.pyannote[1745].speaker SPEAKER_00
transcript.pyannote[1745].start 9558.06471875
transcript.pyannote[1745].end 9559.39784375
transcript.pyannote[1746].speaker SPEAKER_00
transcript.pyannote[1746].start 9560.47784375
transcript.pyannote[1746].end 9560.86596875
transcript.pyannote[1747].speaker SPEAKER_00
transcript.pyannote[1747].start 9561.76034375
transcript.pyannote[1747].end 9565.38846875
transcript.pyannote[1748].speaker SPEAKER_00
transcript.pyannote[1748].start 9565.47284375
transcript.pyannote[1748].end 9566.01284375
transcript.pyannote[1749].speaker SPEAKER_00
transcript.pyannote[1749].start 9566.83971875
transcript.pyannote[1749].end 9567.29534375
transcript.pyannote[1750].speaker SPEAKER_00
transcript.pyannote[1750].start 9567.71721875
transcript.pyannote[1750].end 9569.28659375
transcript.pyannote[1751].speaker SPEAKER_00
transcript.pyannote[1751].start 9570.48471875
transcript.pyannote[1751].end 9584.15346875
transcript.pyannote[1752].speaker SPEAKER_00
transcript.pyannote[1752].start 9584.30534375
transcript.pyannote[1752].end 9584.99721875
transcript.pyannote[1753].speaker SPEAKER_00
transcript.pyannote[1753].start 9585.30096875
transcript.pyannote[1753].end 9590.12721875
transcript.pyannote[1754].speaker SPEAKER_00
transcript.pyannote[1754].start 9590.46471875
transcript.pyannote[1754].end 9591.98346875
transcript.pyannote[1755].speaker SPEAKER_00
transcript.pyannote[1755].start 9592.23659375
transcript.pyannote[1755].end 9593.70471875
transcript.pyannote[1756].speaker SPEAKER_00
transcript.pyannote[1756].start 9594.73409375
transcript.pyannote[1756].end 9598.02471875
transcript.pyannote[1757].speaker SPEAKER_00
transcript.pyannote[1757].start 9598.44659375
transcript.pyannote[1757].end 9602.19284375
transcript.pyannote[1758].speaker SPEAKER_08
transcript.pyannote[1758].start 9606.00659375
transcript.pyannote[1758].end 9609.02721875
transcript.pyannote[1759].speaker SPEAKER_08
transcript.pyannote[1759].start 9609.65159375
transcript.pyannote[1759].end 9613.31346875
transcript.pyannote[1760].speaker SPEAKER_18
transcript.pyannote[1760].start 9622.83096875
transcript.pyannote[1760].end 9625.64909375
transcript.pyannote[1761].speaker SPEAKER_18
transcript.pyannote[1761].start 9626.00346875
transcript.pyannote[1761].end 9626.62784375
transcript.pyannote[1762].speaker SPEAKER_18
transcript.pyannote[1762].start 9626.99909375
transcript.pyannote[1762].end 9631.30221875
transcript.pyannote[1763].speaker SPEAKER_18
transcript.pyannote[1763].start 9632.06159375
transcript.pyannote[1763].end 9642.99659375
transcript.pyannote[1764].speaker SPEAKER_18
transcript.pyannote[1764].start 9643.55346875
transcript.pyannote[1764].end 9648.29534375
transcript.pyannote[1765].speaker SPEAKER_18
transcript.pyannote[1765].start 9649.03784375
transcript.pyannote[1765].end 9652.98659375
transcript.pyannote[1766].speaker SPEAKER_18
transcript.pyannote[1766].start 9653.96534375
transcript.pyannote[1766].end 9662.21721875
transcript.pyannote[1767].speaker SPEAKER_18
transcript.pyannote[1767].start 9662.62221875
transcript.pyannote[1767].end 9668.57909375
transcript.pyannote[1768].speaker SPEAKER_18
transcript.pyannote[1768].start 9669.13596875
transcript.pyannote[1768].end 9671.44784375
transcript.pyannote[1769].speaker SPEAKER_18
transcript.pyannote[1769].start 9672.12284375
transcript.pyannote[1769].end 9677.47221875
transcript.pyannote[1770].speaker SPEAKER_18
transcript.pyannote[1770].start 9677.89409375
transcript.pyannote[1770].end 9689.58846875
transcript.pyannote[1771].speaker SPEAKER_18
transcript.pyannote[1771].start 9691.03971875
transcript.pyannote[1771].end 9695.46096875
transcript.pyannote[1772].speaker SPEAKER_18
transcript.pyannote[1772].start 9695.84909375
transcript.pyannote[1772].end 9699.73034375
transcript.pyannote[1773].speaker SPEAKER_18
transcript.pyannote[1773].start 9700.05096875
transcript.pyannote[1773].end 9705.18096875
transcript.pyannote[1774].speaker SPEAKER_18
transcript.pyannote[1774].start 9705.58596875
transcript.pyannote[1774].end 9710.81721875
transcript.pyannote[1775].speaker SPEAKER_18
transcript.pyannote[1775].start 9711.25596875
transcript.pyannote[1775].end 9716.01471875
transcript.pyannote[1776].speaker SPEAKER_18
transcript.pyannote[1776].start 9716.99346875
transcript.pyannote[1776].end 9720.80721875
transcript.pyannote[1777].speaker SPEAKER_18
transcript.pyannote[1777].start 9721.16159375
transcript.pyannote[1777].end 9723.74346875
transcript.pyannote[1778].speaker SPEAKER_08
transcript.pyannote[1778].start 9727.64159375
transcript.pyannote[1778].end 9728.18159375
transcript.pyannote[1779].speaker SPEAKER_08
transcript.pyannote[1779].start 9729.02534375
transcript.pyannote[1779].end 9732.43409375
transcript.pyannote[1780].speaker SPEAKER_07
transcript.pyannote[1780].start 9735.43784375
transcript.pyannote[1780].end 9735.80909375
transcript.pyannote[1781].speaker SPEAKER_08
transcript.pyannote[1781].start 9742.44096875
transcript.pyannote[1781].end 9743.28471875
transcript.pyannote[1782].speaker SPEAKER_08
transcript.pyannote[1782].start 9743.30159375
transcript.pyannote[1782].end 9743.31846875
transcript.pyannote[1783].speaker SPEAKER_07
transcript.pyannote[1783].start 9743.31846875
transcript.pyannote[1783].end 9756.71721875
transcript.pyannote[1784].speaker SPEAKER_07
transcript.pyannote[1784].start 9757.17284375
transcript.pyannote[1784].end 9767.88846875
transcript.pyannote[1785].speaker SPEAKER_07
transcript.pyannote[1785].start 9768.15846875
transcript.pyannote[1785].end 9771.97221875
transcript.pyannote[1786].speaker SPEAKER_07
transcript.pyannote[1786].start 9772.19159375
transcript.pyannote[1786].end 9777.27096875
transcript.pyannote[1787].speaker SPEAKER_07
transcript.pyannote[1787].start 9777.54096875
transcript.pyannote[1787].end 9778.68846875
transcript.pyannote[1788].speaker SPEAKER_07
transcript.pyannote[1788].start 9779.02596875
transcript.pyannote[1788].end 9819.08721875
transcript.pyannote[1789].speaker SPEAKER_07
transcript.pyannote[1789].start 9819.42471875
transcript.pyannote[1789].end 9827.35596875
transcript.pyannote[1790].speaker SPEAKER_07
transcript.pyannote[1790].start 9827.69346875
transcript.pyannote[1790].end 9844.21409375
transcript.pyannote[1791].speaker SPEAKER_07
transcript.pyannote[1791].start 9844.36596875
transcript.pyannote[1791].end 9848.39909375
transcript.pyannote[1792].speaker SPEAKER_07
transcript.pyannote[1792].start 9848.63534375
transcript.pyannote[1792].end 9855.57096875
transcript.pyannote[1793].speaker SPEAKER_07
transcript.pyannote[1793].start 9855.89159375
transcript.pyannote[1793].end 9857.78159375
transcript.pyannote[1794].speaker SPEAKER_07
transcript.pyannote[1794].start 9858.96284375
transcript.pyannote[1794].end 9867.85596875
transcript.pyannote[1795].speaker SPEAKER_07
transcript.pyannote[1795].start 9868.04159375
transcript.pyannote[1795].end 9870.33659375
transcript.pyannote[1796].speaker SPEAKER_07
transcript.pyannote[1796].start 9870.45471875
transcript.pyannote[1796].end 9882.50346875
transcript.pyannote[1797].speaker SPEAKER_07
transcript.pyannote[1797].start 9882.90846875
transcript.pyannote[1797].end 9912.74346875
transcript.pyannote[1798].speaker SPEAKER_07
transcript.pyannote[1798].start 9913.06409375
transcript.pyannote[1798].end 9926.34471875
transcript.pyannote[1799].speaker SPEAKER_07
transcript.pyannote[1799].start 9926.59784375
transcript.pyannote[1799].end 9932.38596875
transcript.pyannote[1800].speaker SPEAKER_07
transcript.pyannote[1800].start 9932.67284375
transcript.pyannote[1800].end 9933.97221875
transcript.pyannote[1801].speaker SPEAKER_07
transcript.pyannote[1801].start 9934.22534375
transcript.pyannote[1801].end 9936.80721875
transcript.pyannote[1802].speaker SPEAKER_07
transcript.pyannote[1802].start 9937.24596875
transcript.pyannote[1802].end 9968.95409375
transcript.pyannote[1803].speaker SPEAKER_07
transcript.pyannote[1803].start 9969.25784375
transcript.pyannote[1803].end 9980.00721875
transcript.pyannote[1804].speaker SPEAKER_07
transcript.pyannote[1804].start 9981.23909375
transcript.pyannote[1804].end 9989.92971875
transcript.pyannote[1805].speaker SPEAKER_07
transcript.pyannote[1805].start 9990.16596875
transcript.pyannote[1805].end 9991.39784375
transcript.pyannote[1806].speaker SPEAKER_07
transcript.pyannote[1806].start 9991.60034375
transcript.pyannote[1806].end 9995.63346875
transcript.pyannote[1807].speaker SPEAKER_07
transcript.pyannote[1807].start 9995.97096875
transcript.pyannote[1807].end 9999.19409375
transcript.pyannote[1808].speaker SPEAKER_07
transcript.pyannote[1808].start 9999.46409375
transcript.pyannote[1808].end 10018.76909375
transcript.pyannote[1809].speaker SPEAKER_07
transcript.pyannote[1809].start 10019.08971875
transcript.pyannote[1809].end 10021.70534375
transcript.pyannote[1810].speaker SPEAKER_07
transcript.pyannote[1810].start 10022.04284375
transcript.pyannote[1810].end 10023.03846875
transcript.pyannote[1811].speaker SPEAKER_07
transcript.pyannote[1811].start 10023.25784375
transcript.pyannote[1811].end 10029.95721875
transcript.pyannote[1812].speaker SPEAKER_07
transcript.pyannote[1812].start 10030.17659375
transcript.pyannote[1812].end 10034.41221875
transcript.pyannote[1813].speaker SPEAKER_07
transcript.pyannote[1813].start 10034.59784375
transcript.pyannote[1813].end 10067.35221875
transcript.pyannote[1814].speaker SPEAKER_07
transcript.pyannote[1814].start 10067.75721875
transcript.pyannote[1814].end 10070.06909375
transcript.pyannote[1815].speaker SPEAKER_07
transcript.pyannote[1815].start 10070.22096875
transcript.pyannote[1815].end 10072.39784375
transcript.pyannote[1816].speaker SPEAKER_07
transcript.pyannote[1816].start 10072.63409375
transcript.pyannote[1816].end 10085.94846875
transcript.pyannote[1817].speaker SPEAKER_08
transcript.pyannote[1817].start 10089.59346875
transcript.pyannote[1817].end 10094.06534375
transcript.pyannote[1818].speaker SPEAKER_02
transcript.pyannote[1818].start 10103.54909375
transcript.pyannote[1818].end 10141.21409375
transcript.pyannote[1819].speaker SPEAKER_02
transcript.pyannote[1819].start 10141.36596875
transcript.pyannote[1819].end 10158.02159375
transcript.pyannote[1820].speaker SPEAKER_02
transcript.pyannote[1820].start 10158.24096875
transcript.pyannote[1820].end 10160.13096875
transcript.pyannote[1821].speaker SPEAKER_02
transcript.pyannote[1821].start 10160.72159375
transcript.pyannote[1821].end 10161.43034375
transcript.pyannote[1822].speaker SPEAKER_02
transcript.pyannote[1822].start 10162.67909375
transcript.pyannote[1822].end 10253.09534375
transcript.pyannote[1823].speaker SPEAKER_02
transcript.pyannote[1823].start 10253.92221875
transcript.pyannote[1823].end 10304.04096875
transcript.pyannote[1824].speaker SPEAKER_02
transcript.pyannote[1824].start 10304.59784375
transcript.pyannote[1824].end 10429.89471875
transcript.pyannote[1825].speaker SPEAKER_02
transcript.pyannote[1825].start 10430.97471875
transcript.pyannote[1825].end 10471.06971875
transcript.pyannote[1826].speaker SPEAKER_02
transcript.pyannote[1826].start 10472.65596875
transcript.pyannote[1826].end 10473.97221875
transcript.pyannote[1827].speaker SPEAKER_08
transcript.pyannote[1827].start 10473.97221875
transcript.pyannote[1827].end 10474.41096875
transcript.pyannote[1828].speaker SPEAKER_08
transcript.pyannote[1828].start 10476.63846875
transcript.pyannote[1828].end 10478.05596875
transcript.pyannote[1829].speaker SPEAKER_08
transcript.pyannote[1829].start 10478.56221875
transcript.pyannote[1829].end 10487.08409375
transcript.pyannote[1830].speaker SPEAKER_08
transcript.pyannote[1830].start 10487.43846875
transcript.pyannote[1830].end 10495.70721875
transcript.pyannote[1831].speaker SPEAKER_08
transcript.pyannote[1831].start 10496.07846875
transcript.pyannote[1831].end 10501.86659375
transcript.pyannote[1832].speaker SPEAKER_08
transcript.pyannote[1832].start 10502.18721875
transcript.pyannote[1832].end 10506.40596875
transcript.pyannote[1833].speaker SPEAKER_08
transcript.pyannote[1833].start 10506.99659375
transcript.pyannote[1833].end 10515.02909375
transcript.pyannote[1834].speaker SPEAKER_08
transcript.pyannote[1834].start 10515.06284375
transcript.pyannote[1834].end 10521.72846875
transcript.whisperx[0].start 98.295
transcript.whisperx[0].end 99.065
transcript.whisperx[0].text 野生野生
transcript.whisperx[1].start 1804.084
transcript.whisperx[1].end 1810.207
transcript.whisperx[1].text 向委會報告本席正式宣布我們的公聽會開始那麼首先啦歡迎今天麗玲的學者專家在場的委員鄭偉晉的代表來參加台美政府對等關稅協商我國政府因應對策的公聽會那麼其實
transcript.whisperx[2].start 1831.564
transcript.whisperx[2].end 1836.67
transcript.whisperx[2].text 我在開始之前我想講幾句第一個當初定這個題目鄭麗君副院長已經回來了我們都認為說應該有答案結果沒有答案那外界就揣測兩個原因第一個談得不好
transcript.whisperx[3].start 1852.86
transcript.whisperx[3].end 1863.128
transcript.whisperx[3].text 因為以我們政府的習性如果談得好一定敲鑼打鼓所謂談得不好那是遠高於10% 遠高於15%再加上如果把匯率漲了13%加進來那個中小企業會倒一片第一個 可能談得不好第二個
transcript.whisperx[4].start 1877.031
transcript.whisperx[4].end 1901.663
transcript.whisperx[4].text 就是大家很關心的國內的產業你們是不是面臨到美國的壓力要我們零關稅我講清楚喔你們如果同意美國零關稅要海關進口稅者條例還是要經過立法院我相信我們立委會很多意見比如說農產品
transcript.whisperx[5].start 1903.942
transcript.whisperx[5].end 1905.624
transcript.whisperx[5].text 雞腿磅17.5%吧對不對 你猜一下雞腿磅 農民啊17.5%我們是要怎麼花啦
transcript.whisperx[6].start 1915.74
transcript.whisperx[6].end 1934.01
transcript.whisperx[6].text 農民是要如何?汽車工業你說保護太絕了要減但你不是這種計劃你逐年降低大家可以接受你148歸0那跟汽車產業它的衛星工廠加起來超過100萬人的就業怎麼辦?
transcript.whisperx[7].start 1935.27
transcript.whisperx[7].end 1953.285
transcript.whisperx[7].text 不能說是為了要討好美國把台灣的整個經濟都勾垮把台灣的就業人口就業情況都勾垮這是外界所慣性的兩大問題也就是說我們的談判怎麼會變政治化的這麼的嚴重這個越南從原來46變28但是他付出代價零關稅
transcript.whisperx[8].start 1962.13
transcript.whisperx[8].end 1983.327
transcript.whisperx[8].text 零關稅還有加很多其他的可是我們旁邊的我們加我們就加了我們這個也開始台積電區了而且還蓋了這個從北極圈到阿拉斯加的這個油管我們要花140億美金左右
transcript.whisperx[9].start 1984.465
transcript.whisperx[9].end 1990.608
transcript.whisperx[9].text 也簽了我們經濟部長說未來十年增加兩千億美金從美國進口這個天然氣平均一年兩百億美金這個條件都比川普現在跟其他國家談得更好怎麼還沒有答案所以今天藉這個機會希望聽聽專家學者的意見我們未來再折起來審查
transcript.whisperx[10].start 2011.516
transcript.whisperx[10].end 2016.559
transcript.whisperx[10].text 好 我先介紹到場的立委我們的黃國昌委員也是民眾黨的主席第二位 我們按照先後到的順序我們來介紹丹江大學經濟學系的蔡明峰教授第二位是桃園市總統會的劉富理事長
transcript.whisperx[11].start 2046.209
transcript.whisperx[11].end 2072.997
transcript.whisperx[11].text 中華民國全國總工會的秘書長 溫副秘書長溫秘書長 對不起台灣汽車輛工業統一工會的副秘書長 吳志奎副秘書長以及國立中正大學勞工關係學系的王教授好中華經濟研究院的劉所長
transcript.whisperx[12].start 2078.223
transcript.whisperx[12].end 2085.025
transcript.whisperx[12].text 好 那政府的機關代表介紹一下行政院的秘書長 副秘書長李國新 李副秘書長國會秘書處的陳副處長行政院經貿談判董事的副總代表這個議員副總代表以及國會的高先貴副主委
transcript.whisperx[13].start 2107.719
transcript.whisperx[13].end 2131.766
transcript.whisperx[13].text 經濟發展處的陳美菊處長以及經濟部的江次長 江文若 江次長以及國貿署的劉署長產發署的周副署長中小企業署的李祖密農業部我們的胡宗一周次長
transcript.whisperx[14].start 2134.079
transcript.whisperx[14].end 2161.726
transcript.whisperx[14].text 以及國際事務司的文副司長中文規劃司的韓副司長訓務司的李司長漁業署的林副署長農經署的李祖密農糧署的蘇祖長以及動植物防疫建議署的陳祖密衛福部食藥署的林副署長
transcript.whisperx[15].start 2163.191
transcript.whisperx[15].end 2191.523
transcript.whisperx[15].text 健保署的庞副署长机关署的陈副署长社会及家庭事的魏科长长期照顾事的徐科长财政部的钟部长以及公务署的彭署长国务署的陈署长辉瑞署的宋署长中国输出流民囊的戴理事主席劳动部的黄社长
transcript.whisperx[16].start 2196.078
transcript.whisperx[16].end 2218.67
transcript.whisperx[16].text 好 我們現在就開始今天的公聽會啊原則上就是讓專家學者先講我們的立委隨時要發言來登記我們基本上就會中間串查那每位專家學者八分鐘結束前一分鐘會按理提醒
transcript.whisperx[17].start 2220.327
transcript.whisperx[17].end 2242.69
transcript.whisperx[17].text 原則上依專家學者的簽到順序發言委員若需要發言到主席才登記每位五分鐘這都是我們的慣例全部發言完畢以後再請行政機關就全者的月管全者整體的回應現在請第一位學職專家蔡明峰的補師意見請
transcript.whisperx[18].start 2253.178
transcript.whisperx[18].end 2253.579
transcript.whisperx[18].text 都可以
transcript.whisperx[19].start 2261.828
transcript.whisperx[19].end 2281.901
transcript.whisperx[19].text 主席還有各位與會的先進大家好今天非常榮幸可以來參加台美政府對於對等關稅跟我國因應做法的一個公聽會我想我們這一次在因應對等關稅的時候這個談判其實跟過去的貿易談判完全不一樣
transcript.whisperx[20].start 2282.942
transcript.whisperx[20].end 2300.593
transcript.whisperx[20].text 因為無論是高關稅或是低關稅,一定都會有產業受到影響所以在這個情況之下,面對的情況變成是兩害相權取其輕一定都會有衝擊,那這個衝擊看哪一個是政府可以做的比較可以吸收的,那當然你可能會選擇那個衝擊相對比較小的
transcript.whisperx[21].start 2302.854
transcript.whisperx[21].end 2316.864
transcript.whisperx[21].text 我們可以來看一下就是說其實我想在今天的提綱裡面有提到如果當面對關稅的時候我國政府可以有哪些談判的這些做法第一個我想大家都會提到的就是所謂分散出口市場
transcript.whisperx[22].start 2317.685
transcript.whisperx[22].end 2334.054
transcript.whisperx[22].text 但是我也覺得就是在分散出口市場的時候大家要特別小心這個分散市場已經跟過去的你隨便賣到一個市場不一樣今天賣到的市場是一個高所得的市場所以你可以分散的市場大概就是日本歐盟這些的市場日本歐盟也都還是需要美國的市場
transcript.whisperx[23].start 2334.674
transcript.whisperx[23].end 2357.308
transcript.whisperx[23].text 所以在這一次的對等關稅裡面這也是為什麼會讓大家非常傷腦筋的原因但是其實如果是就低所得的國家來講我想大家就不用花太大力氣去協助廠商分散市場因為對廠商來講他為什麼會賣到高所得市場他不是沒有能力賣到低所得是因為他要賺取一個比較高比較合理的利潤所以呢
transcript.whisperx[24].start 2357.788
transcript.whisperx[24].end 2374.59
transcript.whisperx[24].text 在這樣一個情況之下其實如果真的在協助業者轉到低所得國家市場其實坦白講就是一個二次傷害所以在這個case之下我們可以來看另外一個就除了這個市場面以外我們要注意另外一個就是供應鏈的互補性
transcript.whisperx[25].start 2376.414
transcript.whisperx[25].end 2402.682
transcript.whisperx[25].text 我想提高供應鏈的這個互補性是非常重要的事情提高供應鏈的互補性其實也是在提高你不可取代性所以你在提高這個不可取代性的時候你這個時候就可以對於有一些有競爭力的廠商呢讓他更有這個出口競爭力讓他在面對外國如果要加徵關稅的時候外國政府也會擔心所以在研發面的話我想就這個部分應該要
transcript.whisperx[26].start 2403.682
transcript.whisperx[26].end 2417.78
transcript.whisperx[26].text 來好好的來這個進行第三個部分就是國內市場的開放程度我想這個是大家最關心的那國內市場開放程度其實剛剛主席有特別點到了這個不同的開放程度到底要怎麼開放
transcript.whisperx[27].start 2418.661
transcript.whisperx[27].end 2432.438
transcript.whisperx[27].text 那其實比如說如果今天在國內已經有非常多外國品牌的這個市場如果政府還給予比較高的保護那這個時候如果一旦開放外國廠商進來他不見得是對於本國市場的廠商
transcript.whisperx[28].start 2433.76
transcript.whisperx[28].end 2463.21
transcript.whisperx[28].text 是有直接的競爭反而是對外國品牌的競爭會比較激烈所以就這個部分來講我想當然這個需要更進一步的評估但是我們不應該就是說只有一時去保護某一個特定的產業或某一些產業那這些產業他明明就有一些風險承擔能力結果你還繼續保護他如果這個有一些產業他是本身沒有風險承擔能力的當然你去保護他這是理所當然可是有一些產業如果你保護他很久
transcript.whisperx[29].start 2463.55
transcript.whisperx[29].end 2479.641
transcript.whisperx[29].text 在國內也有很多外國品牌廠商進來了繼續的保護是不是幫助他其實大家好好思考當然大家也會關心到就是說那這些受害的勞工怎麼辦其實如果你讓這個勞工他一直留在一個沒有競爭力的產業久而久之他也會變成一個沒有競爭力的勞工
transcript.whisperx[30].start 2481.241
transcript.whisperx[30].end 2508.542
transcript.whisperx[30].text 這個其實害了勞工不是在保護勞工所以我覺得當我們面對這個衝擊的時候除了勞動部都已經有提出來的一些直接的補貼或協助以外我覺得在面對台灣普遍產業界認為有缺工的情況之下盡量去協助這些員工從業人員去轉業我想應該是讓我們的勞工提高整個勞動市場韌性比較好的這個方式所以
transcript.whisperx[31].start 2509.503
transcript.whisperx[31].end 2533.236
transcript.whisperx[31].text 在因應這個對等關稅生效之前如果就在談判上面我想如果在談判上面對方也開出他的一個需求那第一個我想買了很多我們的東西那如果我們也有需要買的國內也沒有生產的其實我們也可以擴大採購所以第一個我想對美採購這個部分在雙方互有需求
transcript.whisperx[32].start 2534.517
transcript.whisperx[32].end 2549.083
transcript.whisperx[32].text 在基於安全原則的情況之下我想這個是有必要去進行的那第二個就是海外的投資你有這個能力的廠商台灣在資源有限的情況之下如果這個廠商他也沒有辦法再繼續待在台灣
transcript.whisperx[33].start 2550.384
transcript.whisperx[33].end 2576.495
transcript.whisperx[33].text 如果是他在台灣的資源就真的有限了那其實他出去的話對於整個台灣的經濟安全他不是傷害他應該是幫助第三個就經濟安全的問題而言我想這個部分其實也是在這一次關稅談判裡面世界各國都會面臨到比較重要的地方就是比如說在洗產地違規轉運這些問題或投資審查機制出口管制的做法這些都是
transcript.whisperx[34].start 2577.535
transcript.whisperx[34].end 2606.656
transcript.whisperx[34].text 美國他在意的那美國在意的坦白講他也是如果對台灣有利的那台灣也應該好好去做那這樣子你才可以維持一個廠商可以永續經營的一個環境所以最後我們的中長期的這個調整策略應該要怎麼樣去進行我想就這個部分來講就如同我剛剛舉出來的幾個第一個就是要拓展出口市場這是很重要那因為假設歐盟的市場
transcript.whisperx[35].start 2607.396
transcript.whisperx[35].end 2635.622
transcript.whisperx[35].text 獲利沒那麼高美國市場獲利比較高但是你面對高的關稅廠商自然就必須要往歐盟往日本去做但是歐盟跟日本有沒有這樣的產品可以來讓我們的廠商轉過去這是另外一個問題因為你的產品很不錯但是如果這個國家的廠商沒有需求那也沒有用所以這其實是一個蠻高難度的挑戰因為他是一個高所得市場來對大家課關稅那第二個就是供應鏈的互補性就是有一些具有這個
transcript.whisperx[36].start 2637.162
transcript.whisperx[36].end 2652.276
transcript.whisperx[36].text 比如說AI產業大家都覺得說它是具有比較長的這個願景那許多台灣的廠商美國的廠商歐盟的廠商也都一直在合作那如何再去提高這個供應鏈互補性我覺得這個是政府可以盡量去協助的那
transcript.whisperx[37].start 2652.876
transcript.whisperx[37].end 2681.337
transcript.whisperx[37].text 降低這個對沒有競爭力廠商的保護讓這些勞工可以到有競爭力的廠商去我們都知道人力資本非常重要如果你可以到有競爭力的廠商去你的人力資本的累積應該是會更有競爭力這對台灣來講才是一個讓產業可以永續經營之道所以第三個當然就是協助這些勞工盡量可以轉業而不再只是一般的補貼而已第四個就是維持供應鏈的完整性因為你可以從這一次在整個
transcript.whisperx[38].start 2683.039
transcript.whisperx[38].end 2709.961
transcript.whisperx[38].text 我們在面對這種產業的壓力跟關稅的壓力之下如果你可以去維持我們國內供應業的自主性這個其實就是台灣的籌碼那盡量再去凸顯我們跟低生產成本國家的差異我想這個是讓台灣可以維持比較高競爭力的一個做法最後一個就是大家都很喜歡出口去玩那這個議題大家也講很久了那為我們的國人有這樣的需求
transcript.whisperx[39].start 2710.581
transcript.whisperx[39].end 2737.021
transcript.whisperx[39].text 如何扶植一些盡量去避免面對關稅的這些產業我想也是非常重要那我想服務業比較高品質的服務業絕對是過去幾年政府也投很多那政府也應該好好去思考看看如何讓國人留在國內旅遊我想這個部分其實也是讓我們的國家經濟可以永續成長很重要的一個方式以上 謝謝好 謝謝蔡民芳蔡教授
transcript.whisperx[40].start 2743.425
transcript.whisperx[40].end 2756.59
transcript.whisperx[40].text 補充介紹我們現場張祺凱張委員好謝謝接著歡迎的是請賴世保賴昭偉
transcript.whisperx[41].start 2767.129
transcript.whisperx[41].end 2783.341
transcript.whisperx[41].text 謝謝主席 以及各位先進我補充一下 剛才我在起頭的時候啊舒适來講 講偏了我說那個雞腿棒啊關稅17.5啊我講少了 真的關稅是20%啊20%啊 各位如果雞腿棒變零關稅各位你可以想像農民的傷害有多大嗎第二個
transcript.whisperx[42].start 2795.632
transcript.whisperx[42].end 2800.734
transcript.whisperx[42].text 我們整體美國進來台灣的關稅172億66億貨物稅 貨物稅就是所謂的這個非關稅的障礙 非貿易障礙營業稅我們收到的是391億
transcript.whisperx[43].start 2817.505
transcript.whisperx[43].end 2839.886
transcript.whisperx[43].text 這裡面我很關心的我相信很多立委都很關心的就是台灣是不是已經被要求了領婚稅等一下我們請副總代表一定要告訴我們雖然說你們不揭露答案但是今天公聽會你可以讓大家知道是不是被要求領婚稅我認為
transcript.whisperx[44].start 2842.248
transcript.whisperx[44].end 2853.559
transcript.whisperx[44].text 我們極可能被要求零關稅當然其他專制學者有講說更在意其他的產品不是這個可是現在零關稅面臨到最大的兩個產業一個就是農業一個就是汽車產業
transcript.whisperx[45].start 2857.543
transcript.whisperx[45].end 2873.137
transcript.whisperx[45].text 汽車產業當然有委員提出已經保護這麼久了應該降為零關稅可是能夠一下子馬上降嗎等一下經濟部的長官又否釋意見了一下子降為零台灣的汽車業還有汽車能夠活那就關門算了幾個關門了而且第三大題我要強調的我們是民主國家
transcript.whisperx[46].start 2884.193
transcript.whisperx[46].end 2890.523
transcript.whisperx[46].text 所有政府去跟他談的結果第二包括合約包括關稅你要降稅要經過立法院同意喔
transcript.whisperx[47].start 2897.014
transcript.whisperx[47].end 2921.915
transcript.whisperx[47].text 最後簽字 最後同意的是立法院剛才我跟 請教我們的總部長我們總部長很認真地做了我問他一個問題 說如果我們不同意咧他看起來好像一路就不宣布不同意的樣子而已我向各位長官報告
transcript.whisperx[48].start 2923.533
transcript.whisperx[48].end 2951.295
transcript.whisperx[48].text 最後要說怎麼過是立法院是立法院所以我們立法院可以做後盾今天我今天講這一話都正式的紀錄留下來我們就是我可以講我們不能接受美國要求我們的零關稅絕不接受絕不接受我們已經付出夠多了他現在跟越南的情況
transcript.whisperx[49].start 2953.833
transcript.whisperx[49].end 2976.047
transcript.whisperx[49].text 專買增加天然氣天然氣我們要從原來的這個10%要變成30%從美國花錢免費從北極圈到阿拉斯卡的那個管線我們要負擔440億美金的三分之一那就是將近150億美金那就是4000多億台幣我們負擔的這筆錢
transcript.whisperx[50].start 2982.13
transcript.whisperx[50].end 3001.086
transcript.whisperx[50].text 我們負負擔台積電一千億川普總統說兩千又說三千到底是什麼事我們付出不夠多嗎他們說喔越南又買了幾十架波音台灣沒有買波音嗎連七八七都買了台灣都先付啦還沒談就先付啦這種情況之下
transcript.whisperx[51].start 3007.162
transcript.whisperx[51].end 3021.415
transcript.whisperx[51].text 我們的流水在談判的過程當中一開始你底牌揭露我們等於是跪著跟他談了能探出一個什麼好的地方外界高度質疑否則為什麼你們不宣布呢不講進度呢 全部黑箱
transcript.whisperx[52].start 3025.677
transcript.whisperx[52].end 3051.242
transcript.whisperx[52].text 你可以看看日本的首相石破茂怎麼講 說七十零關稅 絕不接受美日關係多好啊在日本還有美國的駐軍多麼的依賴美國在保護他他都敢這樣說所以我們的官員從頭到尾沒有一個人在坑 敢跟美國說NO全部都說YES人家都沒開口 先給
transcript.whisperx[53].start 3052.942
transcript.whisperx[53].end 3068.807
transcript.whisperx[53].text 我們談判是這樣談的所以等一下真的請政府的官員代表要跟我們講一下到底為什麼川普政府馬上要公佈世界一百多個國家馬上要公佈一口氣公佈
transcript.whisperx[54].start 3070.508
transcript.whisperx[54].end 3087.916
transcript.whisperx[54].text 那時候就醜媳婦見公婆了那時候台灣怎麼樣就很清楚了沒有閃躲的空間但是現在外界另外一個質疑我剛才忘了講了現在想到很重要的質疑就是什麼其實早就談了 知道了
transcript.whisperx[55].start 3090.417
transcript.whisperx[55].end 3106.192
transcript.whisperx[55].text 只是因為大罷免啊 因為談得不好 對大罷免不利所以把它拖啊 拖在7.26之後 甚至要拖到8.20之後因為8.23有第二體制的所有的罷免 8.23有另外一個體制所以 我要強調的是
transcript.whisperx[56].start 3116.259
transcript.whisperx[56].end 3141.201
transcript.whisperx[56].text 這個是關係到我們的產業發展關係到我們的就業人口關係到台灣人的生存的問題我覺得真的拜託政府官員不要政治化不要政治化我再講一遍我代表個人我是台灣的立委監察委我代表個人零關稅絕對不能接受
transcript.whisperx[57].start 3144.178
transcript.whisperx[57].end 3154.833
transcript.whisperx[57].text 如果你們談出來的結果不管怎麼抬到什麼20%啦 怎麼樣啦說台灣竟然是零關稅那就是上群入國謝謝好 謝謝賴市長來召委接著請黃國昌黃委員發言
transcript.whisperx[58].start 3176.914
transcript.whisperx[58].end 3200.87
transcript.whisperx[58].text 謝謝主席首先感謝今天所有到場與會的學者專家產業界以及勞工界的代表你們所提出來的寶貴意見將會成為本院接下來在面對有關於台美關稅談判以及相關配套措施的時候非常重要的參考依據今天其實站在這邊參加這場公聽會感觸非常的深因為我第一次
transcript.whisperx[59].start 3202.136
transcript.whisperx[59].end 3229.152
transcript.whisperx[59].text 站在同樣的這個講台參加有關於我國有關於對外經貿談判立法院到底應該要怎麼處理是2013年12月19號當時我是以中央研究院研究員的身份站在這個地方我們那時候大聲疾呼馬英九政府
transcript.whisperx[60].start 3230.679
transcript.whisperx[60].end 3246.105
transcript.whisperx[60].text 對外有關於服貿的談判黑箱作業立法院該進行的程序不曉得在搞什麼東西那個時候跟非常多的學者專家我們在這一個
transcript.whisperx[61].start 3247.931
transcript.whisperx[61].end 3274.58
transcript.whisperx[61].text 財政委員會所召開的公聽會 宛如狗吠火車因為那個時候的立法院 形同快要癱瘓了完全沒有辦法發揮任何監督制衡的功能所幸 微小的聲音得到了廣大的回應當時 民進黨的主席蔡英文終於站出來了
transcript.whisperx[62].start 3275.888
transcript.whisperx[62].end 3304.354
transcript.whisperx[62].text 蔡英文說什麼國家對外貿易談判從開啟談判 談判過程到談判結果協議的審議都要有國會的參與才可以體現行政立法在對外談判上的權力分享與責任分擔的法則說得非常的好現在的民進黨政府有做到嗎當時不僅民進黨主席蔡英文跳出來了賴清德也跳出來了
transcript.whisperx[63].start 3305.27
transcript.whisperx[63].end 3331.696
transcript.whisperx[63].text 他怎麼說一個對台灣政治經濟層面影響深遠的協議在事前以黑箱作業的方式沒有審慎評估各行各業所受的衝擊就已送入國會這是獨裁心態立法院舉辦公聽會要把公聽會的意見納入修正馬英九總統要求國會無條件接受一個字都不准改
transcript.whisperx[64].start 3333.71
transcript.whisperx[64].end 3351.589
transcript.whisperx[64].text 這是什麼這是以個人的意志凌駕民主制度更是獨裁的心態 展露無遺說得太好了接下來民進黨出去外面的談判團隊會不會用相同的口氣要求國會一個字都不准改
transcript.whisperx[65].start 3352.489
transcript.whisperx[65].end 3365.243
transcript.whisperx[65].text 你如果敢改就是破壞台美關係你如果敢改就是中共同路人我們等著看我們等著看事前事終根本什麼把當初的承諾當耳邊風把公民社會的參與把國會的參與
transcript.whisperx[66].start 3375.047
transcript.whisperx[66].end 3385.162
transcript.whisperx[66].text 當什麼 當塑膠昨天外交國防委員會辦了巡打 辦巡打又怎麼樣上來 關槍關掉講了什麼東西啊
transcript.whisperx[67].start 3388.121
transcript.whisperx[67].end 3412.43
transcript.whisperx[67].text 當初 鄭麗君 我們現在的行政院副院長談判的總代表怎麼講的不是只有簽署後的監督啊簽署前的談判過程就要讓社會參與 社會協商利益關係人必須被充分告知資訊今天有一些利益關係人 我相信已經坐在這邊我非常想知道 你們有沒有被告知資訊你們有沒有覺得有參與
transcript.whisperx[68].start 3416.454
transcript.whisperx[68].end 3438.701
transcript.whisperx[68].text 受到衝擊的產業有被告知資訊嗎?有參與嗎?接下來可能會面臨重大負面影響的勞工有參與嗎?有被告知資訊嗎?還是大家串在地上等老實說啦正式最後的結果出來以前此時此刻的台灣早就受到傷害了過去兩三個月我們從北部到南部
transcript.whisperx[69].start 3445.27
transcript.whisperx[69].end 3466.874
transcript.whisperx[69].text 密集拜訪了非常多的廠商跟勞工大家怕得要死但沒有人敢出來講為什麼沒有人敢出來講現在的政府肅殺氣氛很重啊怕被查水表啊誰敢出來講啊我現在出來講那接下來立法院通過好不容易要去補助產業補助勞工的會不會因此拿不到會不會被關切
transcript.whisperx[70].start 3472.674
transcript.whisperx[70].end 3494.72
transcript.whisperx[70].text 什麼時候台灣的一個民主社會面對這麼重大的經貿議題啊靜若寒蟬我最後啊只想要補充一件事情或許有人說當年是在跟中國談判啊中國是我們的敵國跟美國談判美國是我們最好的朋友態度應該不一樣我提醒一下民進黨當初我們要改的
transcript.whisperx[71].start 3501.417
transcript.whisperx[71].end 3530.811
transcript.whisperx[71].text 除了兩岸協議監督條例以外還有條約締結法這個是民進黨當初提出的條約締結法修正草案他們提的修正草案他們的條約締結法說要建立標準化與透明化的條約締結程序要明定國會在締約前後的參與以及監督具體的條文我不唸了在立法院公報都有現在資訊非常發達大家都google的到
transcript.whisperx[72].start 3532.356
transcript.whisperx[72].end 3545.882
transcript.whisperx[72].text 剛剛有在討論說如果涉及法律的修正那國會要怎麼處理這件事情很簡單我為什麼會說這件事情很簡單十一年前就討論過了締結計畫的提出與成行第一個階段
transcript.whisperx[73].start 3549.522
transcript.whisperx[73].end 3574.402
transcript.whisperx[73].text 依照締結計畫進行協商第二個階段完成協商後正式簽署前第三個階段國會審查第四個階段簽署後的監督第五個階段這是當初多少學者專家大家共同智慧的接近在一個當代的民主國家當中牽涉到這麼重大的經貿談判
transcript.whisperx[74].start 3576.363
transcript.whisperx[74].end 3601.731
transcript.whisperx[74].text 在國內的民主程序應該要如何進行產業勞工要如何參與國會要如何監督法律修正要如何配合只不過很遺憾當初參與提出這些意見的學者專家現在全部都到民進黨去當官全部都到民進黨去當官當了官的這些人完全忘了當初
transcript.whisperx[75].start 3602.898
transcript.whisperx[75].end 3629.465
transcript.whisperx[75].text 的主張對台灣民眾黨而言我們願意全力做我們政府的後盾但是請民進黨不要忘了當初的承諾不要把國會當橡膠把台灣的民主當空氣接下來我們會用盡所有的力量跟我們的產業跟我們的勞工跟我們台灣的農漁民站在一起追求台灣最高的國家利益 謝謝
transcript.whisperx[76].start 3632.281
transcript.whisperx[76].end 3640.912
transcript.whisperx[76].text 好 謝謝黃國昌黃委員接著請中華民國全國總工會秘書長溫中瑜請溫先生發言
transcript.whisperx[77].start 3653.781
transcript.whisperx[77].end 3677.651
transcript.whisperx[77].text 謝謝主席中華民國群工總工會在這邊發言代表勞工發言中華民國群工總工會雖然是勞工團體但是當企業不好過的時候勞工也不會有好日子所以我們必須關注關稅對於企業之方的影響所以我們和中部的幾個產業進行了一些訪談譬如說水五金、電子還有模具等相關產業就美國關稅問題進行深入的對談討論那我們目前歸納出兩個意見
transcript.whisperx[78].start 3682.814
transcript.whisperx[78].end 3706.213
transcript.whisperx[78].text 廠商最在意的就是關於匯率的波動對產業的影響是最大的再來就是其實是關稅的影響以匯率來說我們這邊收到的一些意見就是關於如果說匯率的波動如果台幣升破29那對產業的影響當台幣升值的時候除了減少廠商的獲利之外台灣的出口產品也會變貴這就失去了
transcript.whisperx[79].start 3707.894
transcript.whisperx[79].end 3717.937
transcript.whisperx[79].text 價格上的優勢我舉個實例來講也是我們所了解到的就是關於台中的那個Buffalo工具機它運用計畫性生產方式要來拼新櫃結果因為美國關稅問題再加上訂單的大量減少
transcript.whisperx[80].start 3724.284
transcript.whisperx[80].end 3738.349
transcript.whisperx[80].text 那又遇到台幣的大幅增值因為他們是做高精密而且高價格的高檔機器那遇到日幣貶值又台幣大幅增值工具機的價格和日本製造的其實差不多了所以問大家一個問題
transcript.whisperx[81].start 3740.977
transcript.whisperx[81].end 3753.593
transcript.whisperx[81].text 當國產豐田汽車跟賓士差不多價錢的時候你會買哪一種車這也導致公司無法行賄上市而被併供這就是現在匯率影響一下台灣的廠商的途徑那再來是關稅
transcript.whisperx[82].start 3755.035
transcript.whisperx[82].end 3776.209
transcript.whisperx[82].text 台灣企業主要競爭對手是在於中國、韓國、日本和東南亞等國家當我們關稅高於這幾個國家的時候雖然說關稅大部分是由買方這邊來承擔但相對就會降低一定的競爭力所以建議關稅的部分應該是要低於競爭對手那中華民國全國總工會作為全國勞工的代表對於本市台美關稅協商
transcript.whisperx[83].start 3778.228
transcript.whisperx[83].end 3784.555
transcript.whisperx[83].text 深深感到此事不僅牽動到產業靈脈更加直接影響基層勞工的工作權與生活穩定
transcript.whisperx[84].start 3785.731
transcript.whisperx[84].end 3809.028
transcript.whisperx[84].text 再來看我們這次公聽會的主要三大的題目全總這邊總結一個問題的根源就如剛剛那個黃國昌委員所講的資訊不透明並且沒有充分溝通也並沒有讓多方來參與所以針對這三個議題全總在這邊提出以下的建議第一個關於台美關稅談判的民主監督跟法律程序問題
transcript.whisperx[85].start 3811.289
transcript.whisperx[85].end 3824.917
transcript.whisperx[85].text 經貿協商過程必須透明而且必須取得社會信任依據條例第六條及第八條行政機關應該主動向立法院來報告並且依程序審查所以前總建議啟動國會報告以及社會諮詢程序尤其應該納入商業總會、工業總會還有全國總工會的意見
transcript.whisperx[86].start 3830.62
transcript.whisperx[86].end 3851.38
transcript.whisperx[86].text 第二個建立三階段民主監督機制就是剛剛也有提到的事前報告、事後諮詢以及事後的審議那第三個強化透明談判度以避免以技術細節掩蓋重大政策方向導致民眾失去監督的能力這是關於第一個議題的建議那第二個因應美方關稅衝擊的產業對策與經貿戰略調整我們這邊提供的建議如下
transcript.whisperx[87].start 3856.204
transcript.whisperx[87].end 3883.545
transcript.whisperx[87].text 台美關稅協商看起來像是貿易條件的重新討論但卻暗藏了整體產業結構跟勞動市場的影響以出口導向出口為導向的半導體資通訊產業到廣大的中小企業過去長期仰賴外交市場今天面對關稅壁壘的調整是首當其衝所以建議政府參考新加坡方式建立經濟韌性特別工作小組協助開拓歐洲中國市場尤其中國是第二大經濟體更不能視而不見
transcript.whisperx[88].start 3884.466
transcript.whisperx[88].end 3894.723
transcript.whisperx[88].text 那近三個月可以觀察到企業已經開始面臨壓力匯率升高訂單波動跟關稅問題選擇未解職業變化最直接影響到是轉嫁到第一線勞工身上
transcript.whisperx[89].start 3895.816
transcript.whisperx[89].end 3917.443
transcript.whisperx[89].text 公司減少工時凍結加班逐步實施減班休息甚至考慮裁員是基層勞工現在正在面對的問題所以全總認為政府若謹以產業補貼付罪減免等策略來應對恐怕難以觸及問題的核心建立制度化並長期可運作的就業與產業轉型三方協作機制
transcript.whisperx[90].start 3918.163
transcript.whisperx[90].end 3939.079
transcript.whisperx[90].text 日本跟新加坡都已經有建立長色性的三方平台台灣仍然缺乏應對的架構所以我們要打破各自為政的現況建立共共政策共擔責任共享成果的三方平台唯有透過勞資政三方共同參與才能形成真正有溝通有責任有執行力的政策
transcript.whisperx[91].start 3940.393
transcript.whisperx[91].end 3954.355
transcript.whisperx[91].text 所以針對三方平臺建議我們具體建議如下由政府主導結合企業與工會建立三方平臺及時掌握產業變動訂單波動對勞動市場的影響並整合產業轉型計畫勞工執訓與就業媒合等政策工具減少資訊的落差那這三方平臺的成員主要建議韓國勞動部、經濟部、全總產總工總、商總、工商協經會、產業工協會等代表
transcript.whisperx[92].start 3969.258
transcript.whisperx[92].end 3988.732
transcript.whisperx[92].text 那它供應主要是針對危機環境的比方說關稅、疫情、產業衝擊跟AI取代性工作等進行快速反應、自定應對與資源分配的機制那主要的結合是可以由地區型來推動、地區型的小組來推動針對我們一些第一個受到衝擊的產業比如說台中、彰化、中科、遠區這類或產業代表團體進行推動
transcript.whisperx[93].start 3992.81
transcript.whisperx[93].end 4010.228
transcript.whisperx[93].text 那再來就是我們建議制定勞工在培訓計畫因為目前青年待業率仍然高於7%那中高齡求職者平均待業時間超過半年我們必須聚焦在聚焦在中高齡勞工與青年族群提供專業技能培訓課程並結合產業趨勢與實際需求如綠能
transcript.whisperx[94].start 4013.912
transcript.whisperx[94].end 4030.723
transcript.whisperx[94].text 數位製造、跨境整合、AI應用等協助勞工職涯中不中斷並且針對繼續工作的退休人員除了職業再訓練外給予一定額度的免稅鼓勵再就業此外同時會過減免賦稅鼓勵大家加入工會
transcript.whisperx[95].start 4032.957
transcript.whisperx[95].end 4061.632
transcript.whisperx[95].text 第三個 針對平台的建議的部分推動企業實施無裁員條款來換取政府補貼建立合理遊營讓企業在接受政府協助的同時承諾保障勞工基本就業穩定但是補貼只是短期措施中長期目標能需要協助企業轉型經濟部應該也要建立一個轉型基金之類的簡化申請流程提高補助金額並透過三方協作平台長期且持續的溝通減少政策與實際的落差
transcript.whisperx[96].start 4062.83
transcript.whisperx[96].end 4084.638
transcript.whisperx[96].text 那第四個必須將勞動條件影響評估制度化納入未來重大經濟協商與法規調整的程序中讓勞工處境不再是承受政策變動的最後一環尤其是產業轉型過程中企業面對壓力往往第一步就會先從人力成本調整減班休息變成最常營運的方式所以全種呼籲政府
transcript.whisperx[97].start 4086.158
transcript.whisperx[97].end 4104.564
transcript.whisperx[97].text 補強通報及補助制度設計企業若有實施減班休息的時候應該依法與勞工協商並簽訂書面協議而且必須在實施前主動通報主管目前為通報者並無罰則建議盡速修法賦予主管機關必要處置權限確保通報制度落實真正發揮保護與輔導功能
transcript.whisperx[98].start 4107.865
transcript.whisperx[98].end 4128.102
transcript.whisperx[98].text 通報後的企業可申請僱用安定措施政府提供工資補貼跟營運支援而勞工亦可以申請充電再出發執訓方案作為執訓強化與轉職準備但目前我們可申請僱用安定措施的產業類別極為有限僅限於橡膠製造業、機械設備製造跟其他運輸工具及零件製造業
transcript.whisperx[99].start 4128.903
transcript.whisperx[99].end 4144.11
transcript.whisperx[99].text 因應在擴大範圍包括資通訊產業、電子零件製造、中小型外銷產業等高風險部門納入真正做到提前預警、事後準備最後針對兼顧安全與農業利益之衝擊及政府因應措施的部分
transcript.whisperx[100].start 4145.21
transcript.whisperx[100].end 4165.398
transcript.whisperx[100].text 我們支持自由貿易但是自由貿易的前提必須在公平與公平教育與風險補償機制下所以全總期盼政府在進行經貿協商的時候納入多元社會意見確保談判結果兼顧產業發展與公平共同為台灣打造具韌性與永續的未來以上報告 謝謝好 謝謝全總溫中瑜秘書長
transcript.whisperx[101].start 4173.123
transcript.whisperx[101].end 4198.571
transcript.whisperx[101].text 接著請劉勝明,桃園市總工會副理事長發言好,主席,以及各位官員跟專家學者,大家早上好
transcript.whisperx[102].start 4199.693
transcript.whisperx[102].end 4208.143
transcript.whisperx[102].text 本人代表桃園市總工會來進行這邊做說明本人是勞工代表這一次的關稅議題那個進口車
transcript.whisperx[103].start 4211.903
transcript.whisperx[103].end 4231.453
transcript.whisperx[103].text 可能對美國進口台灣的進口車可能會造成最終的結果可能會有零關稅的現象這個完全都沒有跟老方來進行溝通或協商那也沒有讓勞工非常清楚的了解評估這樣子的零關稅所帶來的失業的效率那政府
transcript.whisperx[104].start 4232.554
transcript.whisperx[104].end 4261.53
transcript.whisperx[104].text 不管對外的談判貿易上的談判的一些事項是否也要來跟勞工做說明這一點政府在做的部分是完全都沒有那我們這邊勞工團體非常的對政府非常的失望政府整體都黑箱在作業完全都沒有召開勞資政三方面的會談來去跟勞方來去做友善的一些傳達溝通或者是進而了解勞方所想要了解的一些事項
transcript.whisperx[105].start 4262.85
transcript.whisperx[105].end 4289.676
transcript.whisperx[105].text 那我們也會 汽車產業這邊因為桃園是汽車產業的重鎮現階段台灣六大生產國產車的汽車廠裡面有三家在桃園那普遍都是分布在桃竹苗地區那其實就業人口整體從上游到下游包括零件業的整體就業人口預估的工作人數有30萬人那平均的年齡都是在40歲到50歲之間
transcript.whisperx[106].start 4292.093
transcript.whisperx[106].end 4316.385
transcript.whisperx[106].text 那這一波的零關稅如果未來導致工作權的喪失都是中高齡失業那長期勞動部在扶植中高齡就是非常吃力的一份工作那後續如果我們這些人口都失業的時候政府是否有評估這些失業人口你要如何讓他轉型再就業其實是相當困難的而且此時此刻我們大家坐在這邊吹著冷氣
transcript.whisperx[107].start 4318.206
transcript.whisperx[107].end 4337.654
transcript.whisperx[107].text 然後來去做這樣子的研討會可是我們勞工兄弟朋友我們尤其汽車這個產業我們的勞工勞動的那個張力是非常的大從上班的第一分鐘開始就衣服沒有乾過汗水就一直流流到下班的那一刻為止那
transcript.whisperx[108].start 4338.581
transcript.whisperx[108].end 4355.167
transcript.whisperx[108].text 我們也曾經透過立法委員向政府單位去做一些友善的溝通的時候大而殘之的說我們可以幫你轉行到台積電啊科技園區啊可是我們有這樣子的勞動競爭力嗎
transcript.whisperx[109].start 4357.949
transcript.whisperx[109].end 4374.938
transcript.whisperx[109].text 這個勞動部從來也沒有去設想過以為轉職就業就是這麼輕鬆的一件事情好像他指派你去哪裡工作那個公司都一定會照單全收那事實上是這樣子的嗎我們也是非常的擔憂啦然後再來一個是汽車產業真的有像過去的立法委員講的這麼惡質嗎
transcript.whisperx[110].start 4377.369
transcript.whisperx[110].end 4391.363
transcript.whisperx[110].text 一直說我們是扶不起的阿斗是長期受國家保護的產業真的是這樣子嗎有沒有什麼樣的數據可以去證明去調查咧還有國人買到高額的車輛的新車
transcript.whisperx[111].start 4394.758
transcript.whisperx[111].end 4419.321
transcript.whisperx[111].text 真的是因為這些扶不起的阿斗造成的嗎我們的貨物稅從民國五、六十年代當時因為沒有奢侈稅的稅率的限制用貨物稅來取代奢侈稅然後那時候的車輛率民眾可以購買車輛的能力也有限所以當時就收了25%高額的貨物稅一直到現在這樣子不當的稅率政策也沒有改變啊
transcript.whisperx[112].start 4420.382
transcript.whisperx[112].end 4435.443
transcript.whisperx[112].text 如果真的大家各個民意代表還是立法委員想要全國的人民買到便宜的車子應該是要從貨物稅去做修法而不是從進口關稅沒有保障勞工的工作權益的情況下去擅自去做更改
transcript.whisperx[113].start 4436.244
transcript.whisperx[113].end 4455.226
transcript.whisperx[113].text 這是我們桃園的勞工想要來去闡述的一件事情以及我們汽車產業也配合著政府的政策持續的在提高我們自己的自治率那我們現在也知道包括美國所生產的汽車當中也很多的零組件都是中國大陸外銷過去的
transcript.whisperx[114].start 4456.247
transcript.whisperx[114].end 4481.336
transcript.whisperx[114].text 全世界的工廠都是單一我們的應該是說每一個零件它都是全球標全球哪一個國家生產出來的零件便宜那我們就從那個國家去做購買所以才會有這一次的這個貿易的一些協定的簽出來的方式那我們還是政府在配合需要我們輔導我們自治率要提升的同時都沒有想過這個產業的艱辛
transcript.whisperx[115].start 4483.317
transcript.whisperx[115].end 4511.924
transcript.whisperx[115].text 而且我們是創造極大化的勞工就業的人口那這邊還是在此呼籲啦希望說未來的配套要有效有措施的而且要跟勞方來進行溝通希望說未來國家的政策能夠保護我們這些相關勞工的一些權益那最後還有就是希望說能開啟協商的窗口啦那跟勞方做有效的溝通
transcript.whisperx[116].start 4513.682
transcript.whisperx[116].end 4518.906
transcript.whisperx[116].text 我報告比較簡短 以上 謝謝好 謝謝劉聖民副理事長接著請張祺凱 張委員發言
transcript.whisperx[117].start 4552.072
transcript.whisperx[117].end 4560.365
transcript.whisperx[117].text 賴清德在2014年批評國民黨政府說事前黑箱作業為評估衝擊是獨裁心態
transcript.whisperx[118].start 4564.508
transcript.whisperx[118].end 4591.078
transcript.whisperx[118].text 現在民進黨政府對於這次美國高關稅這個談判這麼重要的事情到目前是不溝通不說明不讓立法院也不讓產業不讓公民社會一起來參與這是何其嚴重的問題很謝謝今天有這一場重要的公聽會我們今天有這麼多的專家學者包括杜振華杜教授吳志奎吳副秘書長
transcript.whisperx[119].start 4592.866
transcript.whisperx[119].end 4616.008
transcript.whisperx[119].text 劉聖明、劉副理事長、溫忠義秘書長、王安祥、王教授、蔡明芳教授還有劉孟俊、劉所長跟嘉欣,我們最強的菜農農民代表我們期待今天有這麼多官員來好好傾聽把重點記下來特別是趕快溝通
transcript.whisperx[120].start 4617.858
transcript.whisperx[120].end 4642.959
transcript.whisperx[120].text 趕快說明趕快溝通 趕快說明因為時間已經到了談判那麼多次 你馬上就要公佈了結果到目前都是黑箱作業全世界現有哪一個民主國家跟美國這次的談判裡面像台灣是這樣黑箱的而且馬上就要定案了希望今天這個公聽會是一個好的一個開始請聽專家學者跟代表的聲音之後請
transcript.whisperx[121].start 4644.636
transcript.whisperx[121].end 4668.9
transcript.whisperx[121].text 民進黨政府趕快把門打開趕快溝通趕快說明另外我要特別強調請政府要特別注意你跟美國答應的事情如果衝擊到哪些重要產業甚至可能會被犧牲的這幾天一定要先溝通你不要隨隨便便去答應不要答應了之後
transcript.whisperx[122].start 4671.143
transcript.whisperx[122].end 4686.75
transcript.whisperx[122].text 國內我相信很多人是沒辦法接受的剛剛已經有好多位立委已經提到了如果你真的去談了一個美國對美零關稅回來我請提醒之前賴清德賴總統講說我們可以從零關稅開始談的時候養豬協會養雞協會一些農民都跳起來了你看
transcript.whisperx[123].start 4695.936
transcript.whisperx[123].end 4704.339
transcript.whisperx[123].text 稻米方面美國的價格比我們低那麼多它又是大面積的這個耕種這個一進來這對我們稻米這是媚容計畫養豬協會理事長他們都已經出來講了各個產業都已經講了請讓我們參與更重要的不要犧牲我們到目前為止很多人看到的講說我們不要
transcript.whisperx[124].start 4727.383
transcript.whisperx[124].end 4754.923
transcript.whisperx[124].text 高於25%25%會是一個很重要的臨界點因為我們的主要競爭對手南韓日本都是25%可是我更要提醒了不只不要跟比競爭對手高的同時我們到底拿了什麼去換現在比25%低的有兩個國家一個是越南一個是印尼這跟台灣都有相當的關係越南去換了什麼越南雖然降到20
transcript.whisperx[125].start 4756.394
transcript.whisperx[125].end 4777.475
transcript.whisperx[125].text 可是在美國所有的產品進越南零零我相信如果美國所有產品進來包括農業包括汽車產業這一些如果是零我相信台灣民眾不會接受立法院也不會通過趕快說明趕快跟我們溝通我們不會像越南這樣子第二個印尼
transcript.whisperx[126].start 4778.533
transcript.whisperx[126].end 4805.519
transcript.whisperx[126].text 印尼雖然是20% 它採購了150億的美國能源45億的農產品 還跟波音那邊訂購了50架飛機這裡面我特別要強調的剛講農產品第二個 天然氣經濟部部長我在問他的時候他說我們目前跟美國買的天然氣佔我們所有100%裡面的10%他說會增加2到3倍
transcript.whisperx[127].start 4807.162
transcript.whisperx[127].end 4831.644
transcript.whisperx[127].text 我們現在又跟阿拉斯加的天然氣公司又簽了意向書連賴清德總統都講我們要擴大對美這個採購顯然天然氣這一塊不只是量會增加連這個投資都會進去我們明確的要求價格不能太高第二個你如果要投資像路透社講的還要投資它基礎建設包括一起去開採還有管線這個
transcript.whisperx[128].start 4834.773
transcript.whisperx[128].end 4859.906
transcript.whisperx[128].text 他總金額超過一兆兩千億 台灣到底要負責多少這個都要盡快跟國人要講清楚連國外的路透社 國外媒體都報導了 台灣人不知道這可不可以消耗嘛 這樣怎麼對得起我們台灣民眾呢這天要傳出來 主權基金有沒有被要求 到底要做哪些的投資
transcript.whisperx[129].start 4862.409
transcript.whisperx[129].end 4885.575
transcript.whisperx[129].text 請盡快跟全民講清楚好 今天最主要是請聽寫者專家的這個聲音我要誠懇 誠懇也是做一個非常嚴正的要求馬上就要拍板定案了請所有官員只要是知道你的產業北你主管的機關裡面有受到影響的請盡快說明 盡快溝通不要再黑箱下去 謝謝好 謝謝張祺凱 張委員
transcript.whisperx[130].start 4892.83
transcript.whisperx[130].end 4896.359
transcript.whisperx[130].text 接著請車輛工業同業工會副秘書長吳志葵
transcript.whisperx[131].start 4910.629
transcript.whisperx[131].end 4937.617
transcript.whisperx[131].text 主席各位委員我們各位政府部門長官還有我們這個各位賢警大家好我是車輛工業同業工會副秘書長吳志奎今天很榮幸能接受邀請來跟各位報告我們相關汽車產業的一些現況還有在這波美國關稅這個衝擊的影響跟大家來分享我想會
transcript.whisperx[132].start 4940.798
transcript.whisperx[132].end 4963.788
transcript.whisperx[132].text 專門請這個來談這個汽車產業因為在當前我們國內的經濟環境以出口為導向的ICT產品已經占我們整個出口已經占了65%那相關的壓縮到我們傳承產業的一個發展那待會我也會跟各位報告那今天準備的資料我還是首先要向各位來報告我們汽車產業一些概況我想
transcript.whisperx[133].start 4965.089
transcript.whisperx[133].end 4991.097
transcript.whisperx[133].text 近年來大家都對我們汽車產業汽車國內汽車工業發展都提出了很多的指教但是我相信在這麼多年來的一個發展的一個基礎對社會對政府對這個人民的貢獻政府部門應該心中自有一把尺那這個這個到
transcript.whisperx[134].start 5003.012
transcript.whisperx[134].end 5020.801
transcript.whisperx[134].text 會動嗎我想汽車是全球國家都非常在意的一個產業我們國家的地位我們在全球排名是我們的土地大小140我們人口占了第57位可是我們的汽車市場45、6萬到47萬占了全球
transcript.whisperx[135].start 5024.093
transcript.whisperx[135].end 5044.867
transcript.whisperx[135].text 第26、27位而且我們的NCAP是第13個國家有這樣的NCAP對消費者的保護的要求所以是一個已經非常成熟競爭的市場在市場上我們有52款超過50款的品牌在國內販售
transcript.whisperx[136].start 5046.735
transcript.whisperx[136].end 5075.166
transcript.whisperx[136].text 有200款以上的車型在販賣這已經是非常自由競爭的一個社會一個市場那大家都質疑為什麼國產車賣得比較貴這其中必然有它其背後的原因大家應該要去探究而不是去質疑說我們為什麼因為公會的功能就是希望政府能營造一個對製造業友善的環境但是到目前來看還是有些不足的地方我待會會提出來
transcript.whisperx[137].start 5078.608
transcript.whisperx[137].end 5083.994
transcript.whisperx[137].text 所以我們的汽車市場一直在維持穩定的一個46萬去年我們的關稅收入是450億
transcript.whisperx[138].start 5090.402
transcript.whisperx[138].end 5105.899
transcript.whisperx[138].text 貨物稅超過八百億加起來要一千三四百億這是非常對我們經濟社會是一個非常穩定的一個力量尤其我們的過去幾年的市場數量的穩定造就了這個就業的機會還有我們
transcript.whisperx[139].start 5108.649
transcript.whisperx[139].end 5137.318
transcript.whisperx[139].text 每年稅收從我們汽車業也是相當穩定的一個支撐的力量所以即使在其他國家當一個經濟情況在一個萎縮情況始終都是把汽車當作一個標的因為它產值大因為它單價高所以這個過去幾年都有相當不錯的成績事實上我們也在做外銷最高峰的時候在2014年
transcript.whisperx[140].start 5139.502
transcript.whisperx[140].end 5166.616
transcript.whisperx[140].text 即將突破十萬因為外銷的狀況在海外的競爭有所不同所以這幾年但是還都能維持到四萬輛的一個外銷的情況汽車最大的特性上中下游的供應鏈是需要非常完整而且是非常講究一個品質所以在QCD方面我敢說在所有產業裡面
transcript.whisperx[141].start 5168.328
transcript.whisperx[141].end 5196.823
transcript.whisperx[141].text 我們汽車產業是絕對是大家一個學習的標竿我們問中鋼就好了中鋼以前從來沒有辦法進入汽車市場是因為在2020年左右開始我們汽車廠使用中鋼的高強度鋼板之後中鋼才有建立跟汽車提供汽車原材料的機會還有外銷的機會如果一旦國內沒有這個廠的支持
transcript.whisperx[142].start 5198.052
transcript.whisperx[142].end 5223.574
transcript.whisperx[142].text 不要講中鋼了我們相關的供應鏈一定都發生困難我們之前幾個月前我們還聽到有委員辦公室說我們汽車產業只有一家就是某一家的集團我聽了是非常訝異所以今天還是非常要跟各位報告汽車產業是一個非常這個
transcript.whisperx[143].start 5225.031
transcript.whisperx[143].end 5235.744
transcript.whisperx[143].text 有具有巨弱的一个产业我们在北部桃园有4家车厂所以他相关的零组件在
transcript.whisperx[144].start 5236.921
transcript.whisperx[144].end 5263.883
transcript.whisperx[144].text 觀音在這個龍潭都有非常的零件的這個廠家在中部尤其是在中部最主要就是台中工業區彰化、鹿港、彰濱工業區在南部永康永康更是我們這個零件外銷的一個大本營這個都需要政府持續的關注跟協助
transcript.whisperx[145].start 5265.51
transcript.whisperx[145].end 5285.999
transcript.whisperx[145].text 那這產生就是大家參考基本上如果能有機會繼續努力尤其現在有關自動性運用到車上面的未來的汽車產業加零件產業絕對有機會突破兆元但是在這個生存的關卡上面看政府是不是給產業一個機會
transcript.whisperx[146].start 5289.171
transcript.whisperx[146].end 5307.161
transcript.whisperx[146].text 關於這個價值我就不再多提那當然現階段事實上在這些產業一直呼籲希望優先調降貨物稅而不是關稅我們後面會來提
transcript.whisperx[147].start 5309.276
transcript.whisperx[147].end 5332.765
transcript.whisperx[147].text 最主要我還是要提到川普對我們這個影響4月3號其實美國川普第一件宣誓的事情就是對他的汽車業及他的員工說我會保護你們我會支持我們的就業機會我會支持我們汽車產業所以第一個提出來的對汽車的關稅的提高後面才有4月5號的所謂對等關稅
transcript.whisperx[148].start 5335.967
transcript.whisperx[148].end 5354.113
transcript.whisperx[148].text 四月就開始談到現在我們還沒有一個結論但是其他國家相對都已經陸續發布了各位可以參考但是因為我們是對美國我要再強調美國他自己的市場他自己的車廠三大車廠
transcript.whisperx[149].start 5356.513
transcript.whisperx[149].end 5384.032
transcript.whisperx[149].text 究竟都製造哪些車子事實上95% 97%都是製造pick up為什麼日本跟美國談不了進口的問題很顯然美國自己不做乘用車我今天簡報就顯示美國不做乘用車做乘用車的都是外商包括日本的HondaToyota Nissan
transcript.whisperx[150].start 5386.141
transcript.whisperx[150].end 5410.333
transcript.whisperx[150].text 再來就是現代即使歐洲VWBMWBenz在美國都沒有做乘用車將來如果開放會進來是什麼車大家可以去思考我這要談的再跟大家refresh我們政府實在反應很快讓總統4月6號馬上對應第一個談的就是零關稅可見
transcript.whisperx[151].start 5415.373
transcript.whisperx[151].end 5437.808
transcript.whisperx[151].text 我們可以來檢驗對外談判迎合美國看起來百分之百實踐但問題是對內對我們的產業的說明對我們產業的溝通做了多少分有待大家來評論看看政府做了多少事情
transcript.whisperx[152].start 5440.834
transcript.whisperx[152].end 5469.015
transcript.whisperx[152].text 再來出口為什麼會談汽車因為65%都是ICT產品我們汽車零配件去年72億在我們非ICT產業裡面除了石化之外就是我們汽車其他的都幾乎在衰退之中為什麼我們汽車業可以表現這麼好而且我們一半的市場幾乎就是放在美國美國是我們汽車零件輸往的50%
transcript.whisperx[153].start 5472.975
transcript.whisperx[153].end 5500.098
transcript.whisperx[153].text 這個給大家參考其他國家因為季節的不同而有變化排名但是美國一直是第一位所以對我們汽車業來講外販出口原來只有2點多的關稅現在可能要提升到25到30競爭力還在不在就看我們政府談判的結果如何
transcript.whisperx[154].start 5501.806
transcript.whisperx[154].end 5528.504
transcript.whisperx[154].text 那另外提出這個原產地的問題如果我們真的是開放美國零關稅進來那什麼叫做美國製我只是提醒因為政府一直強調原產地不要洗產地將來可能輸進來的可能是TOYOTA的可能是HONDA的那這些品牌算不算美國製
transcript.whisperx[155].start 5532.574
transcript.whisperx[155].end 5559.381
transcript.whisperx[155].text 在國際的準則上面本來就有很明確的規則但是現在都被打破了我們出口事實上對汽車零件最重要的是一個實質轉型我們汽車零件進口零組件加工出口從來不會有什麼洗產地的問題我希望政府這個部分再講清楚我們汽車零件絕對不會洗產地
transcript.whisperx[156].start 5564.603
transcript.whisperx[156].end 5587.202
transcript.whisperx[156].text 這是美國他的規則那將來我們是不是要制定美國原產地的規則那是不是要比照大家思考公衛訴求事實上我們在5月12就已經蔡委會有個公聽會已經表達很多意見第一個當然就是大家最關切的關稅我們一直講17.5是不是很高
transcript.whisperx[157].start 5589.724
transcript.whisperx[157].end 5615.263
transcript.whisperx[157].text 以我們國內市場的量跟其他國家前幾大市場他們的關稅的比較大家可以有一個公論什麼才是我們合理的關稅那我們要降為零是比別人更有辦法能力承受嗎第二我剛才講要一個合理公平一個完善的一個製造環境
transcript.whisperx[158].start 5617.154
transcript.whisperx[158].end 5638.093
transcript.whisperx[158].text 當別的國家都是進口低關稅的零件組裝自動化輸往台灣你說到價格競爭力有沒有那台灣整車17.5我們很多的關稅都是超過12.5 15 17.5你叫我們汽車整車產業怎麼去降低成本
transcript.whisperx[159].start 5639.434
transcript.whisperx[159].end 5664.468
transcript.whisperx[159].text 所以不要一直認為說是車廠不願意降低成本很多是制度讓車廠沒辦法降低成本OK公費訴求剛剛有談了我們很多的歷次的談判我都列出來從WTO因為10年的關係所以跟產業都非常有長的調適到後面ECFA
transcript.whisperx[160].start 5665.583
transcript.whisperx[160].end 5689.922
transcript.whisperx[160].text 甚至RCEP到CPTPP我們都很努力說我們有機會我們產業都一起打拚努力怎麼樣來達成任務沒有一項成功反而不需要跟產業溝通就認為說我們已經很成功了這個是我們需要思考OK這個政策貨物稅我就不再提
transcript.whisperx[161].start 5691.786
transcript.whisperx[161].end 5713.884
transcript.whisperx[161].text 另外老舊車輛始終是這個大環境的問題是不是利用了機會可以長可久的淘汰老舊車輛對整體大環境的幫助最終什麼是最壞的狀況出口要科高關稅進口沒阻礙變成零關稅到頭來誰會哭誰會笑勞工笑著出場老闆說
transcript.whisperx[162].start 5720.219
transcript.whisperx[162].end 5749.25
transcript.whisperx[162].text 我也很想努力政府不讓我努力誰會笑貿易商笑了昨天新聞台灣賓士馬上跳出來我要零關稅反映的是說你違反WTO你一直給美國你沒給Benz我政府要去思考啊但是反映的事情第一個
transcript.whisperx[163].start 5750.759
transcript.whisperx[163].end 5778.688
transcript.whisperx[163].text 台灣錢真的很好賺台灣真的是一個賺錢的地方所以誰笑著進場貿易商笑著進場消費者會不會笑是說我可能受益成本買車可是消費者還是弱勢在看來都是一個被等著讓人賺錢的一個目標
transcript.whisperx[164].start 5779.79
transcript.whisperx[164].end 5787.053
transcript.whisperx[164].text 好 以上拉拉遭遭 有機會再給各位好 謝謝石亮工業同業工會的副秘書長吳志奎 謝謝我們可以從談話中看到對三十萬的員工來講影響置身且懼請一些主管機關不得不慎接著請本院劉書斌立法委員 劉委員
transcript.whisperx[165].start 5817.996
transcript.whisperx[165].end 5831.826
transcript.whisperx[165].text 謝謝主席今天首先非常感謝有來自學界還有汽車同業工會還有工會代表跟農民學者有八位的來賓來參加這次的公聽會讓我們來聽到基層的聲音杜振華教授在這裡還有王安祥的教授在這裡我們現在最重要來談論這個議題就是台灣是美國第七大的貿易夥伴
transcript.whisperx[166].start 5846.658
transcript.whisperx[166].end 5862.625
transcript.whisperx[166].text 那在過去的這時間到現在為止呢包括我們的競爭對手日本韓國還有歐盟美國都已經說出了對他們的一個談判的關稅是多少但是到現在我們還是沒有得到
transcript.whisperx[167].start 5863.966
transcript.whisperx[167].end 5872.474
transcript.whisperx[167].text 關稅到底是多少的這個答案那我們就在懷疑是不是在談判之前台積電已經送出去了還包括在談判期間當中傳出來了天然氣還有波音飛機能源的這些部分還有國防武器在這個
transcript.whisperx[168].start 5881.664
transcript.whisperx[168].end 5883.646
transcript.whisperx[168].text 條件都送出去之後呢還有沒有談成的那這樣子是不是有可能會犧牲到我們台灣的人民跟產業的利益呢因此我們民眾黨主張必須以資訊公開立法監督
transcript.whisperx[169].start 5897.526
transcript.whisperx[169].end 5903.568
transcript.whisperx[169].text 產業保護及積極協商四個原則來尋求行政部門他必須來提升談判的一個透明度來落實國會監督來正視社會多元利益來主動回應產業界跟民眾的一個焦慮這主要是基於過去在2013年的時候福茂強犯協議的這樣的一個警醒
transcript.whisperx[170].start 5922.503
transcript.whisperx[170].end 5931.826
transcript.whisperx[170].text 如果不是這樣的情況之下呢到時候會發生到台灣內部的共識跟經濟安全的基本條件被維護這樣的問題那談判如果沒有辦法兼顧到公開審議配套跟產業的合作的情況之下呢這就會加劇到社會的這種對立因此政策的脫貧產業補償跟全民參與是非常必要的
transcript.whisperx[171].start 5947.791
transcript.whisperx[171].end 5952.853
transcript.whisperx[171].text 那我現在再繼續根據在現在各個部會他們的報告當中的一些問題我提出來我的一個看法第一個在關於經濟部分經濟部分它部分裡面有講到所謂佈局全球要開拓的這個全球的市場
transcript.whisperx[172].start 5965.498
transcript.whisperx[172].end 5984.206
transcript.whisperx[172].text 但是經濟部這邊只重視到東歐、日本、美國、菲律賓等貿易夥伴並沒有考慮到說針對人口最多的印度還包括在土耳其在回教市場的一個開拓尤其是說還要在美國去設立投資的一個貿易中心這是非常令人奇怪的這樣的一個說法
transcript.whisperx[173].start 5986.047
transcript.whisperx[173].end 5991.312
transcript.whisperx[173].text 但另外我們也關注到是一直在強調對美國的這個避免雙重關稅的協定課稅的這個問題是很重要的有沒有列入到現在跟美國的談判的議題當中呢那如果已經納入了目前的談判的結果是怎麼樣是證明其實是很關切的
transcript.whisperx[174].start 6004.665
transcript.whisperx[174].end 6006.488
transcript.whisperx[174].text 另外一個針對財政部財政部他對於洗產地的防範有提到但是他缺乏了確實揭露洗產地的查緝數據還有查核流程跟MIT
transcript.whisperx[175].start 6020.59
transcript.whisperx[175].end 6025.535
transcript.whisperx[175].text 標章檢證的成效這部分也要說明第二部分我們看到是在鋼鐵汽車反傾銷跟平衡稅的重大項目上面財政部大力報告美方的關切清單但是並沒有看到明確的產業方向的支持跟影響的財政分析報告
transcript.whisperx[176].start 6039.989
transcript.whisperx[176].end 6043.011
transcript.whisperx[176].text 所以財政部應該把過去兩年產業受到台美貿易的措施的具體的損失跟未來潛在的影響要做一個報告出來第三個針對農業部農業部它直指美國的貿易產品我們進口到美國產品是22.3%那出口是17.6%
transcript.whisperx[177].start 6061.903
transcript.whisperx[177].end 6081.388
transcript.whisperx[177].text 那對於對美方們可能要加劇徵收的這個產業農業項目呢是不是應該要公開或分類它的成效評估跟預警的這個報表讓社會知道到底哪些的產業是最脆弱的哪些是最急迫要去處理的這樣子才是有幫助的
transcript.whisperx[178].start 6082.108
transcript.whisperx[178].end 6098.244
transcript.whisperx[178].text 另外我們看到是民眾都在擔憂這些部分就是說對於現行談判他並沒有能夠及時回應到貿易順差從產品標示汽車關稅的這些美方注意的焦點是重要的敏感的議題長期懸而不決加重了產業的負擔這部分要去進行的
transcript.whisperx[179].start 6102.208
transcript.whisperx[179].end 6119.718
transcript.whisperx[179].text 最後我們要看到的是民眾黨再次強調的是要重視的是產資訊公開立法的監督要落實還有產業保護跟積極的做協商這樣才能夠確保我們的利益能夠繼續被保持住好 謝謝好 謝謝劉淑冰 劉委員接著請
transcript.whisperx[180].start 6130.252
transcript.whisperx[180].end 6135.269
transcript.whisperx[180].text 國立中正大學勞工關係學校教授王安祥 王教授
transcript.whisperx[181].start 6154.581
transcript.whisperx[181].end 6174.237
transcript.whisperx[181].text 主席還有現場各位先進大家早安非常榮幸能夠應立法院查委會這邊的邀請來參與今天的公聽會作為一個在中南部教書的勞動學者其實我深刻的感受到尤其在我們很多中南部的傳統產業不論是業者
transcript.whisperx[182].start 6177.199
transcript.whisperx[182].end 6196.115
transcript.whisperx[182].text 或是從業的人員尤其這些剛剛很多我們勞動工會的朋友跟大家說明的非常憂心的一個部分所以我今天大概就我最近的一些觀察跟我最近看到一些現象就整個勞動的一個概念大概跟大家做一個說明跟一個建議
transcript.whisperx[183].start 6199.454
transcript.whisperx[183].end 6218.901
transcript.whisperx[183].text 我想從四月份開始就看到美國提出了關稅的一個事情我也在很多場合做很多報告這個報告其實改了非常非常多次我們現在大概都知道川普美國政府大概劍指其實不是在關稅就是出了所謂的貿易的逆差我想現在都沒有問題在四月的時候
transcript.whisperx[184].start 6219.921
transcript.whisperx[184].end 6237.629
transcript.whisperx[184].text 其實台灣被指派的關稅稅率是32%不過後來降到10%之後我們現在都引頸期盼不曉得會有什麼樣的結果那當然剛剛前面很多的先進會的委員都已經提到了我想先進的社會我們在學校教書或是我在外面做倡議我想資訊透明
transcript.whisperx[185].start 6241.39
transcript.whisperx[185].end 6268.601
transcript.whisperx[185].text 這個好幾方的協商其實是一個先進國家必要的一個程序我想過去這幾十年來有非常多的學者或者是從政的朋友們我們參與了這些事情我希望在這一次談判的時候能夠有更多人的參與那當然經貿辦這邊的我想這個談判代表非常辛苦因為過去看到這個21世紀的談判的時候看到很多的談判代表其實都剛好時間是顛倒了非常辛苦不過我想
transcript.whisperx[186].start 6269.321
transcript.whisperx[186].end 6288.987
transcript.whisperx[186].text 我們在台灣的這些產官學的這些人都願意做大家這些第一線談判代表的最好的後盾所以還是希望在談判的過程中能夠公開一些必要的資訊事後可以踐行我們國內的一些法治程序這個等下我等會跟大家說明
transcript.whisperx[187].start 6291.449
transcript.whisperx[187].end 6313.287
transcript.whisperx[187].text 不過這幾天看起來 就算收到通知函 收到信之後也許也不是最後的結論也許也是一個談判的籌碼從昨天的一米就可以看到 它降到19%不過看到19% 也許也有另外的擔憂昨天這個參選會的理事長也有特別提到所以他們擔心另外一個部分 就是匯率的問題
transcript.whisperx[188].start 6314.248
transcript.whisperx[188].end 6338.878
transcript.whisperx[188].text 這個我想很多產業也非常非常的憂心那最近幾天這個匯率的事情其實大家都有目共睹當然很多人說這個沒有受到壓力可是看起來這一波匯率的上漲對國內的產業可能會有非常大的影響那當然在我們投影片上這個幾個在蘇美上非常重要的這些項目產品的項目當然就非常重要不過我想這個
transcript.whisperx[189].start 6340.299
transcript.whisperx[189].end 6355.531
transcript.whisperx[189].text 看到川普的關稅的這個事情之後其實好像恍如隔世因為我立刻就想起了前幾年的這個台美的21世紀貿易倡議而且我們在初步都已經有了五項基本上已經達成協定了所以基本上
transcript.whisperx[190].start 6356.672
transcript.whisperx[190].end 6384.55
transcript.whisperx[190].text 我們過去應該有一些很好的經驗大概可以做一些表率剛剛有一些委員跟代表大家都提到我們希望進行在法律的程序上必須要完備也就是說不管任何的談判結果我們都希望上次21世紀談判初步的協定基本上送到立法院來還有進行實質上的審議的部分我想就第一線的談判代表來
transcript.whisperx[191].start 6386.911
transcript.whisperx[191].end 6413.912
transcript.whisperx[191].text 對 這個所面臨的壓力來說我想後方我們給大家的協助或者是必須要經過立法院的同意我想是在談判上非常好的一個籌碼所以我們也希望能夠視為是一個條約能夠進行這個條約締結法相關的一些程序因為這件事情其實涉及到人民權利義務而且在財政經濟跟國內法上可能有明顯的不一致這也是我今天非常重要的一個建議
transcript.whisperx[192].start 6414.933
transcript.whisperx[192].end 6440.245
transcript.whisperx[192].text 那就我最近的觀察台灣的這個產業的處境因為我們過去啊這個follow美國的一些建議其實我們有把一些產業往南向部分來做一些移轉那這個可能這次會受到一些影響那這個賴總統在這個第一時間就說了這幾件事情我想現在這個台北代表大概在進行這樣的程序我們也非常這個拭目以待
transcript.whisperx[193].start 6440.825
transcript.whisperx[193].end 6455.642
transcript.whisperx[193].text 那上個禮拜我們這個所謂的這個特別條例也剛剛通過這個國民黨的版本那這裡面其實也有這個所謂的支持安定就業的部分因為我今天主要著重在這個就業的部分那勞動部
transcript.whisperx[194].start 6455.962
transcript.whisperx[194].end 6478.211
transcript.whisperx[194].text 在他的網站上從第一階段開始就提出了一個這樣的對策大概分為下面這幾項包含訪視的沖洗、安心就業安心就業裡面當然就是我們過去所謂的雇用案例的一些措施或者是無薪假期間充電再出發這一類的東西另外兩項就是再就業跟今年我覺得相對來說可能不是這麼關鍵
transcript.whisperx[195].start 6479.611
transcript.whisperx[195].end 6495.649
transcript.whisperx[195].text 不過基本上這些我們在這個傳統的勞動裡面大概都是一些我們現有的一些救出的工具那現在的這個狀況假設關稅的衝擊非常大那以我們現在勞動部手上的這些救出工具的一些手法
transcript.whisperx[196].start 6496.149
transcript.whisperx[196].end 6516.983
transcript.whisperx[196].text 是不是足以應付可能衝擊非常多的產業而且衝擊的人數非常多的狀況之下也請勞動部要非常的審慎就像當初EGFA的一樣是不是要針對某些特定的產業或特定的勞工基本上要做出一些比較特殊的因應而不再侷限於現在勞動上的這些傳統的救出的工具
transcript.whisperx[197].start 6517.883
transcript.whisperx[197].end 6541.125
transcript.whisperx[197].text 基本上我認為現在的衝擊我們還是必須要在各部會要積極做一些剛剛其實很多前面的委員都有提到過要做一些比較全面性的衝擊評論的報告我想進步的國家我們在學界也常常在協助政府機關在做這些事情包含有哪些產業到底受影響的勞工有哪些人數到底有多少
transcript.whisperx[198].start 6541.505
transcript.whisperx[198].end 6558.632
transcript.whisperx[198].text 那這個呢其實這個上次在關稅第一階段的時候這個主任長有到立法院來報告做了一些報告那時候的這個人數大概是覺得製造業大概是有12.5萬那基本上產業的那個產值大概5%來算大概是這個九千多億九千六百多億
transcript.whisperx[199].start 6559.352
transcript.whisperx[199].end 6584.531
transcript.whisperx[199].text 不過基本上我們在做一些內部的調查跟我訪查一些產業的狀況我們認為這個數值應該是偏低所以我們對於很多的現象上我剛剛說了事後要能夠從容不迫的應付有好的政策其實很好的衝擊評估報告是非常非常重要與其事後措手不及不如做一個很好的衝擊評估的報告
transcript.whisperx[200].start 6586.272
transcript.whisperx[200].end 6612.355
transcript.whisperx[200].text 那這個大概很多產業聚落大概都會受到影響那我也建議跟地方政府要建立好的網絡的關係提出一些真的某些特定產業的一些特殊的方法那當然經濟部也提了很多剛才委員也提到可能要做一些到各地做一些貿易的中心或者是貿易投資中心或者是做一些台灣SELECT這樣的東西不過我覺得短期上可能都看不出立即的成效所以還是請
transcript.whisperx[201].start 6613.636
transcript.whisperx[201].end 6639.514
transcript.whisperx[201].text 我們的政府部門要非常的小心最後我就用前幾天剛剛公佈的無薪假的數字來給大家做一個參考看我剛剛說的這個是不是危言聳聽還是這真的確有其次這一頁大家可以看到無薪假的狀況最近剛剛公佈的結果就是這個六個月是最高的而且人數還有上漲還有上漲了一些而且因為這次他調查有問大家是不是受到關稅的影響我們可以看到
transcript.whisperx[202].start 6640.094
transcript.whisperx[202].end 6665.233
transcript.whisperx[202].text 受到關稅影響裡面有五十幾家啦那會有大概人數會一千四百多位那在這個時候其實大家就已經受到影響我想在產業界大家都看到其實不是怕最後的結果而是怕不確定我們大家現在非常陰險的判斷有一些確定的結果所以呢現在的評估跟現在的狀況從這個五星大的數字上我想提醒這個主管機關我們還是要密切的注意這個事情
transcript.whisperx[203].start 6665.993
transcript.whisperx[203].end 6670.456
transcript.whisperx[203].text 我們所有的國內的產官學界都願意做所有談判代表的最好的後盾謝謝大家
transcript.whisperx[204].start 6690.542
transcript.whisperx[204].end 6718.513
transcript.whisperx[204].text 謝謝主席我想也謝謝今天所參與的所有的專家學者在今天的公聽會之前其實我們是為了台美的相關關稅貿易協定所定的時程但是很遺憾的是我們的特別條例通過了接下來變特別預算了可是我們沒有人知道我們到底談到了什麼今天的公聽會雖然我們還是隔靴搔癢我們在這裡提出各界的意見但是我們的政府從
transcript.whisperx[205].start 6720.514
transcript.whisperx[205].end 6738.927
transcript.whisperx[205].text 開始四月份有相關的貿易關稅問題的到現在其實在國會在立法院甚至在各界應該都沒有完整的資訊中華民國政府現在在跟美國政府的協議的內容進度進程外界沒有任何的資訊行政院說了說
transcript.whisperx[206].start 6740.228
transcript.whisperx[206].end 6760.841
transcript.whisperx[206].text 一切都在進度上這句話有說跟沒有說一樣真正進行談判負責談判的人了解進度的人都非常的安靜彷彿這些談判的項目跟進度是什麼不可說的秘密這一次的台美關稅的協議在台灣民眾黨來看我們已經認為它符合所謂條約締結法裡面有關條約的相關規定
transcript.whisperx[207].start 6764.784
transcript.whisperx[207].end 6783.633
transcript.whisperx[207].text 必須就談判的方針原則跟可能爭議的事項適時的要向立法院說明並向立法院委員會報告但是除了我們立法院主動要求各個單位來做相關的專案報告之外到目前為止沒有接到任何行政單位主動提供的任何報告資料
transcript.whisperx[208].start 6784.713
transcript.whisperx[208].end 6813.752
transcript.whisperx[208].text 甚至行政院對外所做的說明也幾乎為零相較於台灣日本政府在日美談判關稅協議的談判上反而他設立了一夜市的網站而且他把所有的資訊對各產業的衝擊全部都放在網站上也就是說日本人民可以很清楚的知道日本現在面臨的狀況就台灣來說我們的中央政府雖然到地方開了很多的說明會
transcript.whisperx[209].start 6814.993
transcript.whisperx[209].end 6833.4
transcript.whisperx[209].text 在本席跟他們要求農業部也好經濟部也好要求他們提供我們各產業他們所稱的相關的衝擊到今天為止給我的回答都是非常籠統說我們都有去都有看但是都不能告訴你今天的問題在於這是一個不可說的密密碼
transcript.whisperx[210].start 6834.557
transcript.whisperx[210].end 6854.236
transcript.whisperx[210].text 我們認為說在現在經貿辦的所有的網站上面只看到經貿辦的新聞稿告訴我們都在進城裡我們同意行政院可以可能不要說太多因為必須要去做談判但是現在的狀況不是說多說少的問題而是他什麼都不說
transcript.whisperx[211].start 6855.197
transcript.whisperx[211].end 6870.346
transcript.whisperx[211].text 所以現在看到的消息在美國方面川普是單方面的發文單方面的簽署行政命令並跟美國自己的關稅規定比較像是有具體協議的只是好像是川普第一個簽好的英國跟美國之間的協定
transcript.whisperx[212].start 6871.366
transcript.whisperx[212].end 6898.483
transcript.whisperx[212].text 而這個協定在英國人來看比較像是有在既有的談判架構下面去談的也就是說用同樣的狀況來處理台灣跟美國之間關稅協定我們也有所謂的台美21世紀的貿易協定用這個框架來看的話不管是延續哪一個框架這些都應該按照相關的程序來向立法院做說明但是到目前為止一個影響我國如此重大的關稅協定
transcript.whisperx[213].start 6899.904
transcript.whisperx[213].end 6917.305
transcript.whisperx[213].text 沒有經過國會的審查說到底它也不是行政單位對外代表台灣針對行政事務所簽的行政協定而已而是攸關台灣未來方向經貿發展的重要協定這個協定的內容我們認為在今天為止到8月1號之前
transcript.whisperx[214].start 6918.286
transcript.whisperx[214].end 6928.035
transcript.whisperx[214].text 至少不能說的可以隱匿起來但是該給民眾包括很多學者說的對勞工的衝擊對產業的衝擊對製造商的衝擊對貿易商的有利這些都應該把它理清楚
transcript.whisperx[215].start 6934.46
transcript.whisperx[215].end 6958.251
transcript.whisperx[215].text 而這個部分在中華民國目前是付之缺乳的所以不要呼籲行政院隨著川普將關稅生效的日期延到到8月1號所以現在還有17天的時間進去進行磋商正在民意代表機關的立場我們希望能夠做到所謂的監督跟成為行政單位的後盾也就是說也要告訴美國人
transcript.whisperx[216].start 6959.031
transcript.whisperx[216].end 6974.948
transcript.whisperx[216].text 我們民意機關跟行政機關它不是由你們說了算而是中華民國政府還是一個主權獨立的國家所以行政院它可以裁量什麼需要保密什麼不能公開但是不能全部都不說所以我們認為說
transcript.whisperx[217].start 6976.249
transcript.whisperx[217].end 7001.411
transcript.whisperx[217].text 福茂協定在台灣是一個黑箱的標的如果以現在的角度來看的話現在的台北協定是比福茂協定更黑箱的狀況我們認為國會跟民眾都有權利了解所有的程序我們也希望行政院能夠適時的揭露相關的資訊讓各個行業跟產業都能知道自己將會面對什麼樣的挑戰以上 謝謝好 謝謝黃珊珊 黃委員
transcript.whisperx[218].start 7004.997
transcript.whisperx[218].end 7029.603
transcript.whisperx[218].text 接著請中華經濟研究院所長 劉孟俊 劉所長好 主席 各位長官 各位嘉賓大家好 我是劉孟俊
transcript.whisperx[219].start 7039.567
transcript.whisperx[219].end 7066.018
transcript.whisperx[219].text 今天這一張並不是來跟大家上數學課這一張的話只是告訴我們說我們是接受經濟部的委託來進行分析在怎麼樣的關稅底下的話就台灣出口面臨到美國怎麼樣的關稅的時候我們的在什麼樣的匯率的水準才不會那個出口廠商才不會有虧損
transcript.whisperx[220].start 7068.201
transcript.whisperx[220].end 7096.132
transcript.whisperx[220].text 這邊的話我們分析起來大概有幾個條件第一個條件的話就是這個產業裡面的獲利率第二個的話這個產業裡面的話出口占它的營業的比重第三個的話就是它的在國內裡面的採購的成本占它所有的成本的比重那基本來講說我們可以得到一個結論是講說如果說我們面臨到美國的關稅水準越高事實上我們的匯率應該是有所貶值
transcript.whisperx[221].start 7097.455
transcript.whisperx[221].end 7118.827
transcript.whisperx[221].text 但是這邊的話有幾個tricky的地方是在哪裡就是第一個就是想說是如果說我們的產業裡面的獲利率水準越高的時候事實上能夠吸收到關稅的一個衝擊越大那貶值的就不需要那麼大第二個的話就是如果說是我們的產業裡面非常具有特殊的一些競爭力
transcript.whisperx[222].start 7121.209
transcript.whisperx[222].end 7146.841
transcript.whisperx[222].text 美國的一個進口商願意是跟我們的產業進行怎麼去去吸收這個關稅水準的時候那我們可以講說我們的匯率的水準就不需要貶值太多這換句話說這個是一個 bargaining power那在這邊這幾個另外一個的話就是以台幣所計算的一些成本裡面就是國內採購的一些成本如果說水準越高那換句話講
transcript.whisperx[223].start 7149.825
transcript.whisperx[223].end 7171.612
transcript.whisperx[223].text 國內裡面的話就變成你要著會有匯損的影響的話就越大如果說經過這幾個計算裡面的話我們可以得出幾個結論怎麼去幫助我們的出口商來吸收到匯率高漲裡面的一些衝擊第一個我們可不可以建議可以思考一下如果是出口廠商的繳稅可不可以用美元來繳稅
transcript.whisperx[224].start 7173.673
transcript.whisperx[224].end 7193.009
transcript.whisperx[224].text 這似乎來講這個應該是比較顛覆一些我們過去的一些思考因為我們是所謂的你出口也好你繳稅的話一定要是用台幣來繳稅但是如果說你允許在某種程度裡面可以讓出口廠商是用美元來繳稅的話或許也可以吸收第二個的話
transcript.whisperx[225].start 7194.571
transcript.whisperx[225].end 7223.949
transcript.whisperx[225].text 我們那些廠商裡面有許多是外勞是不是他薪資的話在某種程度上可以允許來講是支付給他美元的一些薪水或許可以幫助我們這個出口廠商來面臨到這種窘境這是我們今天所面臨到一個面臨到美國的關稅的衝擊以及到我們那個面臨到同時台幣升值一些匯率的一些壓力裡面那我們大概計算裡面的話就10%到15%的一個美國關稅的一些壓力的時候
transcript.whisperx[226].start 7224.669
transcript.whisperx[226].end 7241.282
transcript.whisperx[226].text 我們或許來講說我們的匯率水準可以保持在30%就1美元對30的時候可能還可以有所面臨到這種衝擊如果說美國的關稅對我們的15%到25%的話大概我們台幣應該要貶值到31%到35%
transcript.whisperx[227].start 7243.203
transcript.whisperx[227].end 7253.88
transcript.whisperx[227].text 如果說美國是對我們的關稅是壓到25%以上的話我們應該是要貶值到35%等等這些是我們這個計算的一些結果這是給大家做一個參考
transcript.whisperx[228].start 7256.65
transcript.whisperx[228].end 7274.091
transcript.whisperx[228].text 第二個我們認為關稅水準固然是一個衝擊從長期而言對於我們台灣最大的衝擊應該是講說是叫貿易的不確定性就是我們可以看到川普兩三天改變一些說法兩三天的政策調整
transcript.whisperx[229].start 7275.834
transcript.whisperx[229].end 7290.813
transcript.whisperx[229].text 那這邊的話所以我們可能是研判我們現在所面臨的未來的一個經貿的環境是一個相當不確定的一個環境我們知道很多企業裡面我們有訪問到很多企業裡面不斷的在反映他說
transcript.whisperx[230].start 7292.354
transcript.whisperx[230].end 7316.626
transcript.whisperx[230].text 關稅水準是一件事情如果說關稅的政策一直不確定的時候對他們的長期的投資的策略營運的策略是很難執行的那如果說我們從這個角度來去延伸下去其實我們的廠商或者是全世界裡面廠商所面臨的一個情況我們可能要是中小企業要面臨到是一個什麼樣將來所面臨的是一個全球經濟
transcript.whisperx[231].start 7318.027
transcript.whisperx[231].end 7329.286
transcript.whisperx[231].text 走弱的一個環境這時候可能對於我們廠商的一個衝擊遠遠高過於對匯率乃至於對關稅這是我們必須要呼籲的一件事情
transcript.whisperx[232].start 7331.704
transcript.whisperx[232].end 7350.055
transcript.whisperx[232].text 那我們再接著下來的話 我們來思考一個情況這時候我們的台商裡面可能會有短期因應關稅的一個衝擊跟長期一些作為那我們知道短期裡面的話 很多廠商採取一個策略叫做Tariff Engineering
transcript.whisperx[233].start 7350.955
transcript.whisperx[233].end 7374.443
transcript.whisperx[233].text 他可能看到一些關稅裡面對產品的定義分類乃至於現在川普裡面對各個國家人採取不同的關稅水準可能就對我們廠商而言的話他可能就要去思考他如何的投資跟市場的佈局可以讓他降低對美國出口的一些壓力那當然說是對我們廠商
transcript.whisperx[234].start 7375.783
transcript.whisperx[234].end 7385.822
transcript.whisperx[234].text 企業對我們政府而言的話可能有必要的是尤其我們中小企業的出口更關鍵的想說是一個現金流的一個穩定性所以
transcript.whisperx[235].start 7386.892
transcript.whisperx[235].end 7416.392
transcript.whisperx[235].text 我們可以呼籲一下就是我們行政單位裡面可能是要協助我們廠商做一件事情就是去協助廠商去檢視一下他的現金流穩不穩定他的財務狀況可不可以面對到未來一些衝擊這樣可能是對於無論是廠商的一個競爭力乃至於對於勞工裡面的就業的穩定性這也幫助很大那至於長期佈局而言的話我們台灣現在已經走進去另外一個程度
transcript.whisperx[236].start 7417.032
transcript.whisperx[236].end 7429.987
transcript.whisperx[236].text 或者是產業發展到另外一個新的一個事業就是我們的廠商或者我們的產業要進行深度的國際化過去來講是我們第一次的國際化可以講說很簡單是到
transcript.whisperx[237].start 7431.889
transcript.whisperx[237].end 7449.618
transcript.whisperx[237].text 海峽的另外一端去中國大陸去進行投資這是我們的第一次的國際化在第一次國際化裡面培養出我們的廠商裡面的話是有規模做大的像鴻海像華碩等等這些或者是很多的ESG的一些代工廠
transcript.whisperx[238].start 7450.458
transcript.whisperx[238].end 7470.047
transcript.whisperx[238].text 但是我們現在是新的一個國際化的話就是除了China plus one可能到先進國家的投資到發展中國家裡面的話所以說我們的供應鏈怎麼去重組讓我們的台商台灣裡面的話進行一個多角化的經營那變成我們的人才的是很重要
transcript.whisperx[239].start 7470.547
transcript.whisperx[239].end 7495.768
transcript.whisperx[239].text 所以我們的這個國際化裡面的話有短期跟中期跟長期的一些作為這就變成一個重點那我們建議是講說我們應該是採取一個長期的一個視野跟戰略就是幫助我們的廠商幫助我們的產業人進行國際化我們設想一下日本裡面的一個日本商社它是怎麼去全球布局那我們將來台灣可能也面臨到同樣的一些共科
transcript.whisperx[240].start 7496.448
transcript.whisperx[240].end 7511.891
transcript.whisperx[240].text 我們不可能只是仰賴台灣自己本身的一些人才我們的土地我們的天然資源其實這個有限但是我們也可能要經營到全球的市場的面要讓我們的廠商有個全球佈局的一些能量那我就簡單報告到這邊謝謝各位
transcript.whisperx[241].start 7522.723
transcript.whisperx[241].end 7525.784
transcript.whisperx[241].text 謝謝主席黃珊珊委員各位在場的委員政府官員專家學者媒體朋友大家應該可以說午安了
transcript.whisperx[242].start 7551.238
transcript.whisperx[242].end 7578.662
transcript.whisperx[242].text 我本來以為今天我們所面對的問題大概是我們要進入CPTPP談判的時候才會碰到的結果沒有想到可能提早了好幾年現在就爆發了過去大家沒有準備好該做沒有做的準備今天都造成這個問題的嚴重所以這是蠻感慨的
transcript.whisperx[243].start 7580.137
transcript.whisperx[243].end 7604.059
transcript.whisperx[243].text 那不管怎麼樣既然問題發生了我們就應該要面對它那以我個人的專業來講是以今天討論的第二項怎麼樣來因應是比較相關的剛才有許多猜測就是我們未來會面對哪些產業的衝擊
transcript.whisperx[244].start 7606.849
transcript.whisperx[244].end 7616.916
transcript.whisperx[244].text 會面對多高的稅率到底要不要降我們對美國的關稅到零等等不管怎麼樣一個相當大的衝擊是沒有辦法避免的目前的關稅率是10%看起來台灣是
transcript.whisperx[245].start 7629.48
transcript.whisperx[245].end 7656.52
transcript.whisperx[245].text 套不掉要加個5% 10%甚至於半導體的萬稅率把你提得很高把台灣的半導體相關的產業逼到美國去投資這些不確定性的都存在那我不願意去猜測到底到最後會發生什麼狀況那我來提一下
transcript.whisperx[246].start 7658.662
transcript.whisperx[246].end 7676.998
transcript.whisperx[246].text 這個短期的因應跟中長期的因應應該有什麼樣的考慮在短期方面我們最近有一個930億美元的因應美國關稅我國出口供應鏈支持方案
transcript.whisperx[247].start 7678.717
transcript.whisperx[247].end 7693.369
transcript.whisperx[247].text 那我認為這個規模是太小沒有辦法應付未來的需要我建議把它擴張到至少兩千億這樣的一個規模那你名稱可以把它擴大因應關稅衝擊產業發展基金那這個東西呢
transcript.whisperx[248].start 7700.766
transcript.whisperx[248].end 7725.596
transcript.whisperx[248].text 大家可以回想當年我們要加入這個WTO的時候有一個農業發展基金設立了一個規模1000億的農業發展基金那是類似的一個模式但是我認為規模要把它擴大名稱稍微修改一下提供給我們必須要進行升級轉型開拓新市場
transcript.whisperx[249].start 7726.716
transcript.whisperx[249].end 7747.021
transcript.whisperx[249].text 研究發展員工培訓這些企業所需要的這個貸款或是給他的補貼讓他們有辦法能夠繼續跟流台灣那這是第一項我建議的因應那再來在開拓新市場方面我認為有需要
transcript.whisperx[250].start 7748.649
transcript.whisperx[250].end 7776.211
transcript.whisperx[250].text 去提出一個專門針對這個東西的方案比方說分散出口市場方案那這裡面會包括提供有需要的企業出口的協助這是可以是個別的企業給他一些協助然後我們要增加現有駐外經貿單位跟外貿協會據點的這個人力配置跟他的能量
transcript.whisperx[251].start 7777.716
transcript.whisperx[251].end 7792.584
transcript.whisperx[251].text 目前已經很多但是看起來以後又不夠了所以有必要增加他們人員的配置跟他說能使用的資源跟這個有關的是我們應該要設置更多駐外經貿的據點
transcript.whisperx[252].start 7794.988
transcript.whisperx[252].end 7816.717
transcript.whisperx[252].text 我記得剛才已經有委員提到像土耳其、印度這些新興的市場市場規模越來越大可能我們需要設立更多的據點來收集更多的資訊提供我們廠商更多出口的新聞讓他們去掌握這個出口的機會
transcript.whisperx[253].start 7819.4
transcript.whisperx[253].end 7844.89
transcript.whisperx[253].text 好那另外呢我們可以補貼企業要參加一些國際這個貿易展覽商業展覽這樣的一個支出讓他們有能力呢參加更多的商業性的展覽來增加出口的機會那再來我建議在中長期的經貿策略調整有一些可以做的那基本上
transcript.whisperx[254].start 7846.238
transcript.whisperx[254].end 7873.806
transcript.whisperx[254].text 還是要增加我們對市場的分散度這不只是短期的因應中長期來看它也是一個很重要的策略剛才劉所長他也提到像日本的商社其實不只是日本商社今天40年前我在泰國念書的時候我那個是英文的碩士班
transcript.whisperx[255].start 7874.844
transcript.whisperx[255].end 7893.951
transcript.whisperx[255].text 那班上就有同學是日本商社派來念碩士班的你可以看看日本商社為了收集泰國當地的商情他下了多大的功夫他竟然會送人到這邊去念一個碩士班然後畢業之後就在當地住下來繼續幫他收集商情
transcript.whisperx[256].start 7894.81
transcript.whisperx[256].end 7923.746
transcript.whisperx[256].text 那在台灣我猜測大概是沒有這樣的公司存在到現在我剛講是40年前所以如果企業要做到可長可久可大的話那收集商情是非常非常重要的一件事情但是很顯然我們台灣跟日本比起來有非常大的一個差距所以這個更加的分散市場不只是短期它也是中長期的一個策略那中長期另外就是要提高我們產品的獨佔性
transcript.whisperx[257].start 7925.803
transcript.whisperx[257].end 7939.341
transcript.whisperx[257].text 那獨佔性如果越強的話就表示進口國更沒有辦法脫離對你這個產品的依賴度那如果這樣關稅提高的話你提高價格這個價格
transcript.whisperx[258].start 7942.645
transcript.whisperx[258].end 7970.381
transcript.whisperx[258].text 這個關稅的負擔就會比較多的是由進口面進口方來承擔那我們這個出口方必須要承擔的就比較少甚至於你可以完全轉嫁給對方你完全不需要承擔這個關稅那這個溢價的過程當中就牽涉到你的這個產品的獨佔性看來時間過得很快我就比較快的來把我的想法介紹出來
transcript.whisperx[259].start 7972.577
transcript.whisperx[259].end 7987.52
transcript.whisperx[259].text 再來分散供應鏈到低關稅的國家這也很重要剛剛已經提到印尼最近關稅就降到19%越南是20%菲律賓也是20%這三個國家看起來都是
transcript.whisperx[260].start 7995.184
transcript.whisperx[260].end 8018.326
transcript.whisperx[260].text 這一波在東南亞關稅率被降得比較低的國家這些國家我們應該要略為重點輔導廠商如果在台灣沒有辦法升級轉型的話輔導他們到那邊去投資轉移降低他們的關稅負擔另外生產的成本也可以繼續下降特別是越南跟
transcript.whisperx[261].start 8019.983
transcript.whisperx[261].end 8027.513
transcript.whisperx[261].text 菲律賓他們跟北京的政治關係是比較差的我們應該配合跟他們簽訂自由貿易協定來
transcript.whisperx[262].start 8030.857
transcript.whisperx[262].end 8058.014
transcript.whisperx[262].text 來把這個生產鏈能夠完整有效充分的建立起來讓廠商能夠面對這樣的一個衝擊那我的資料呢這個前天就已經給主辦單位了大家手上如果有資料的話都有所以其他的東西就請大家自己去看一下那我再提一下就是農業農業可能這一波是很大的一個衝擊所以可能要仿效進入WTO的時候我們有這個農業發展方案
transcript.whisperx[263].start 8059.955
transcript.whisperx[263].end 8076.656
transcript.whisperx[263].text 如果這個方案還有錢的話那現在應該要把它擴大可能要一兩千億讓農民能夠放心提供他們各種各樣的輔導我特別要提出來我們的農業試驗單位這些年來它的角色逐漸的弱化
transcript.whisperx[264].start 8077.236
transcript.whisperx[264].end 8094.234
transcript.whisperx[264].text 他不管是人員的配置或是使用的經費呢都已經沒有辦法跟上實在的需要所以如果沒有辦法強化這些農業試驗單位的能量跟研發的能力的話呢那農業呢以後會越來越困難那以上呢那最後我再提一下這個
transcript.whisperx[265].start 8095.555
transcript.whisperx[265].end 8108.232
transcript.whisperx[265].text 我們應該把產業轉型到服務業越來越重要能夠避免掉這種關稅的衝擊因為服務業是比較不必負擔關稅的但是我們服務業的貿易正式的統計到現在沒有
transcript.whisperx[266].start 8109.517
transcript.whisperx[266].end 8133.495
transcript.whisperx[266].text 那中央銀行經濟部跟這個主計總署呢互推皮球幾十年到現在沒有解決我希望行政院能夠趕快折成某一個單位負責我們服務業貿易統計重視的統計讓我們知道哪些東西可以發展那他的基礎統計的基礎必須要有以上提供大家參考謝謝大家好謝謝杜教授
transcript.whisperx[267].start 8142.961
transcript.whisperx[267].end 8168.197
transcript.whisperx[267].text 好的目前登記發言的專家學者都已經發言完畢那接下來我們請行政機關回應相關的意見依序請行政院秘書長國家安全會議還有行政院經貿辦談判辦公室國家發展委員會經濟部農業部衛生福利部財政部勞動部來做回應首先我們是不是先請行政院
transcript.whisperx[268].start 8173.163
transcript.whisperx[268].end 8178.959
transcript.whisperx[268].text 是 李副院長請冒犯
transcript.whisperx[269].start 8180.949
transcript.whisperx[269].end 8204.59
transcript.whisperx[269].text 主席 各位委員 各位女士先生 大家好那美國川普政府在2025年的4月2號公布了對等關稅後那總統也在4月6號發表談話那提出了五大的因應策略包括了展開對美談判產業支持計畫中長期的經濟發展計畫展開台灣加一也就是台灣加美國的新布局
transcript.whisperx[270].start 8205.511
transcript.whisperx[270].end 8220.873
transcript.whisperx[270].text 開啟了產業傾聽之旅這些都是我們目前所做的原則方針那主任長的話也在4月11號應邀立法院就針對美國關稅政策的因應作為進行了專案報告
transcript.whisperx[271].start 8222.094
transcript.whisperx[271].end 8241.223
transcript.whisperx[271].text 就美國對等關稅的措施對我國產業衝擊的影響評估政府協助產業的因應對策政府五大因應策略有進一步的說明那另外的話我們的行政院的副院長鄭麗君也率了經貿談判辦公室等等的部會
transcript.whisperx[272].start 8243.044
transcript.whisperx[272].end 8260.751
transcript.whisperx[272].text 美方的話由美國的貿易代表署來主責那雙方的話也在5月1號、6月25號、7月8號在美國華府完成了三輪的實體諮商那我們在實體諮商以後的話都有發布新聞稿對外說明進度
transcript.whisperx[273].start 8262.171
transcript.whisperx[273].end 8291.421
transcript.whisperx[273].text 那對等關稅談判的話呢它起因在美國盼望能改善它的逆差以及再工業化那美方呢依此提出的要求跟期待那我方的談判團隊的話呢那在總統的指示秉持著國家跟產業的利益維護國民健康糧食安全為核心的原則那針對台美關切的經貿還有合作議題我們協商溝通那期盼呢
transcript.whisperx[274].start 8291.961
transcript.whisperx[274].end 8313.801
transcript.whisperx[274].text 透過談判全力爭取最佳的對等關稅稅率也將產業界所受的衝擊降到最低那在此同時的話行政院也提出了因應美國關稅我國出口供應鏈的支持方案以九大面向二十項措施來協助農工產業的加以因應
transcript.whisperx[275].start 8315.629
transcript.whisperx[275].end 8339.344
transcript.whisperx[275].text 面對美國政府的對等關稅政策我們始終秉持著深化台美的經貿關係雙方互利互補的原則來進行談判也期盼在談判中尋求達到雙邊的貿易平衡增進台美在科技及國安等國原領域的合作那以上報告進行主席及各位委員指教謝謝
transcript.whisperx[276].start 8344.889
transcript.whisperx[276].end 8346.531
transcript.whisperx[276].text 第三位是行政院經貿辦副代表嚴惠欣
transcript.whisperx[277].start 8374.93
transcript.whisperx[277].end 8401.344
transcript.whisperx[277].text 主席各位委員在場的各位先行大家好今天簡單跟各位說明一下我們現在由鄭麗君副院長所領導的台美經貿工作小組現在面對美國的關稅談判的一個最新的一些發展那我想美國為了要去處理長期的跟盟友之間的貿易逆差的問題所以提出了
transcript.whisperx[278].start 8402.14
transcript.whisperx[278].end 8430.729
transcript.whisperx[278].text 這些對等關稅的議題所以原本在4月9號要開始起徵包括台灣在內比較高的對等關稅稅率的這些國家那這一個4月9號的時間現在仍然維持在暫緩實施那我們只實施10%的對等關稅那不過原本他提供了90天的談判期是到7月9號那不過就在7月
transcript.whisperx[279].start 8432.551
transcript.whisperx[279].end 8450.531
transcript.whisperx[279].text 8號基本上時間要到期之前他在7月7號宣布讓這個各國可以有更長的時間維持到8月1號可以再持續跟美國進行談判所以在8月1號以前各國現在的所有的
transcript.whisperx[280].start 8451.613
transcript.whisperx[280].end 8463.227
transcript.whisperx[280].text 暫行的對等關稅稅率仍然維持在10%即便現在已經有25個經濟體以上陸續收到美國通知他們預期會有
transcript.whisperx[281].start 8465.362
transcript.whisperx[281].end 8479.2
transcript.whisperx[281].text 這個從所謂20%到50%不等的對等關稅的未來的稅率但是這些稅率也是在8月1號以後才會開始實施那目前我們觀察這個關稅信函
transcript.whisperx[282].start 8482.264
transcript.whisperx[282].end 8505.503
transcript.whisperx[282].text 他基本上發出的一些可能的考量看起來處理的方式也不太有具有一致性或跟談判的進展看起來可能也沒有必然的關係主要的我們的觀察是因為到目前為止我們看到有一些國家看來似乎已經在公開的場合表示跟美國的談判有達到一定的進展
transcript.whisperx[283].start 8506.664
transcript.whisperx[283].end 8524.234
transcript.whisperx[283].text 那譬如說柬埔寨政府在7月4號他宣布他跟美國的談判已經即將完成歐盟也提到他在跟美國也談到了原則性的協議但是他們還是收到了關稅的信函然後得到了一個新的稅率那可是像越南
transcript.whisperx[284].start 8525.234
transcript.whisperx[284].end 8551.219
transcript.whisperx[284].text 美國宣布他跟他完成了談判但給他的一個20%的薪稅率可是越南卻反而沒有收到關稅信函所以簡單來講目前的觀察台灣目前為止還沒有收到關稅信函但是有沒有收到這個關稅信函目前看起來的解讀是美國政府是希望給各國更多的時間但是是希望可以加速
transcript.whisperx[285].start 8552.159
transcript.whisperx[285].end 8580.203
transcript.whisperx[285].text 各國跟美國進行談判的誘因跟動力所以就台灣而言我們現在即便還沒收到關稅信函但就台灣的談判立場我們就是持續的在8月1號以前會努力的跟美國進行積極的協商那我們的目的就是希望在8月1號可以跟美國取得一個對台灣產業對國家利益最佳的
transcript.whisperx[286].start 8581.264
transcript.whisperx[286].end 8607.2
transcript.whisperx[286].text 對等關稅稅率而這個對等關稅稅率我們也希望可以爭取到跟我們的日韓競爭對手更好的待遇這個就是我們現在談判團隊希望努力去這個衝刺的一個最重要的目標那我在這邊也要說明的就是8月1號這個時間點是美國設定給全球的期限
transcript.whisperx[287].start 8608.26
transcript.whisperx[287].end 8636.107
transcript.whisperx[287].text 並不是給台灣的期限所以應該是跟國內的其他的事件是沒有關聯性的那此外呢就我們的談判團隊來說我相信因為美國提出對等關稅這個談判目的是要解決貿易逆差他要去檢視他覺得長期以來對美國不公平的關稅結構所以自然而然他當然會對台灣提出很多他認為有助於促進他的市場
transcript.whisperx[288].start 8636.86
transcript.whisperx[288].end 8664.405
transcript.whisperx[288].text 的商機可以增加他的出口成長的任何的議題但是對台灣來說我們會持續去堅守這些所謂產業跟國家的利益我們也會去捍衛我們的國民健康跟糧食安全但是我沒有我們的國際標準國際義務需要同時要兼顧所以這個是我們在談判過程當中一定會去尋求貿易跟產業之間的平衡性那
transcript.whisperx[289].start 8665.595
transcript.whisperx[289].end 8692.754
transcript.whisperx[289].text 我也要再次強調這不是一個典型的經貿談判通常經貿談判當然一定是要耗時至少兩三年以上可是這一次的談判是美國基於他的對等關稅他想要去快速的解決他長期的貿易逆差的問題而提出來的談判那台灣在因應這樣子的一個談判需求上面不是只有台灣各國同樣都面對了這種
transcript.whisperx[290].start 8694.192
transcript.whisperx[290].end 8706.397
transcript.whisperx[290].text 不確定的談判挑戰不確定性很高不可預設性很高的談判挑戰那所以我們在這個過程當中行政院以及各部會我們都盡可能的
transcript.whisperx[291].start 8708.072
transcript.whisperx[291].end 8729.165
transcript.whisperx[291].text 在立法院的要求之下來提出報告委員會報告書面說明以及可能還有包括親赴各委員會去進行一些討論那未來我們一定會在有具體共識的情況之下然後符合國際談判的慣例也在這個符合
transcript.whisperx[292].start 8729.665
transcript.whisperx[292].end 8749.941
transcript.whisperx[292].text 大家的共同的這個共識之下來跟國人以及立法院來做事實的報告那我想今天各位寶貴的意見我們都會完整的記錄一定會回報未來一定會事實的來跟各位加以說明那再次的感謝產官學各界
transcript.whisperx[293].start 8750.894
transcript.whisperx[293].end 8766.846
transcript.whisperx[293].text 還有包括我們立院的各位委員給予我們政府最佳的後盾那我想政府會持續積極的談判 謝謝好 謝謝副代表接下來我們請國發會高仙貴副主委
transcript.whisperx[294].start 8786.048
transcript.whisperx[294].end 8814.827
transcript.whisperx[294].text 首先我還是要感謝各位委員還有學者專家還有產業代表的一些建議那國防會以下就緊究因為美國的對等關稅政府的中長期的戰略的調整進行說明我想就如剛剛學者專家所說的的確川普的關稅事實上已經引發了全球經貿局勢的改變包括了全球將會進行第二次的供應鏈的重組
transcript.whisperx[295].start 8816.028
transcript.whisperx[295].end 8836.453
transcript.whisperx[295].text 第二個就是美中對峙可能會導致中國內卷的負面效應的擴大還有包括總體經濟的不確定性也會升高那我想在過去其實政府已經針對經貿政策的調整的這個方向我們擬定了三個大的面向
transcript.whisperx[296].start 8837.313
transcript.whisperx[296].end 8865.804
transcript.whisperx[296].text 第一個我們希望推動產業的創新轉型就像剛剛有學者講到的我們希望打造台灣產品的獨特性不可替代性我們希望由價格競爭來取代所謂的成本的競賽所以我們即將國發會還有相關部會即將推動AI的新十大的建設我們希望從智慧運用關鍵技術還有數位基礎三個面向來推動希望可以鞏固
transcript.whisperx[297].start 8866.823
transcript.whisperx[297].end 8887.822
transcript.whisperx[297].text 台灣在半導體跟AI既有的競爭優勢維持競爭優勢的不變其中非常重要的一部分我們希望推展AI的智慧應用也就是我們希望將來可以把AI的相關技術導入到百工百業尤其是傳產跟中小企業
transcript.whisperx[298].start 8888.763
transcript.whisperx[298].end 8906.275
transcript.whisperx[298].text 然後我們希望可以配合經濟部的中小微企業的多元振興方案然後我們整體的從結構面來提升我們中小企業跟傳產的競爭力那第二個其實我們希望可以強化國內的內需動人來因應國際環境的不確定的升高
transcript.whisperx[299].start 8911.599
transcript.whisperx[299].end 8921.464
transcript.whisperx[299].text 我們包括第一個我們希望我們可以打造這個六大區域產業跟生活圈然後配合我們要推動152項的重要的建設我們打造宜居宜業的產業環境我們希望這個面向可以提升台灣的投資動能
transcript.whisperx[300].start 8931.149
transcript.whisperx[300].end 8950.516
transcript.whisperx[300].text 第二個呢剛才其實學者專家也有提到我們怎麼樣去提升國內以內需型的高附加價值的服務業那我想那個院長已經宣示了我們會有新的觀光的方案我們希望可以提振觀光產業那目前儘管會在推動的亞洲資產公司
transcript.whisperx[301].start 8951.536
transcript.whisperx[301].end 8965.7
transcript.whisperx[301].text 管理中心事實上也希望打造台灣有一個高值的服務業同時呢我們也會針對婚育穩居育兒津貼等等的提供一個青年院生燃養的健康老化的環境
transcript.whisperx[302].start 8967.661
transcript.whisperx[302].end 8981.217
transcript.whisperx[302].text 進一步來刺激國內的消費的動人那第三個我們希望開展多元的佈局也就是協助台灣的企業會進行供應鏈的重新佈局跟重組
transcript.whisperx[303].start 8982.398
transcript.whisperx[303].end 9006.188
transcript.whisperx[303].text 其實大家當中有講到一件事情就是說怎麼樣維持國內供應業的自主性跟經濟自主所以我們希望企業在進行供應業重組的時候可以優先考慮投資台灣也就是回到台灣所以我們目前已經通過了投資台灣的三大方案的2.0提供更優質的服務給願意回到台灣的企業
transcript.whisperx[304].start 9007.208
transcript.whisperx[304].end 9026.187
transcript.whisperx[304].text 第二個,我們在協助全球產業布局裡面,我想非常重要的,剛剛其實委員也有提到,我們將來就會希望我們透過經濟部的在目標市場的台灣貿易投資中心,還有一些海外產業聚落的這些
transcript.whisperx[305].start 9029.33
transcript.whisperx[305].end 9055.977
transcript.whisperx[305].text 呃成立我們提供所有要到海外佈局的企業呢客製化的服務輔導他在當地可以落地那同時大家其實也有提到我們到底希望投資哪些目標市場哪些目標產業我想我們國家會在整體的戰略佈局裡面鎖定我們要打造的飛鴻功利念到底我們應該在哪一些國家佈局哪一些我們將來台灣必須要
transcript.whisperx[306].start 9058.62
transcript.whisperx[306].end 9061.528
transcript.whisperx[306].text 推動的關鍵性產業那我們在後面的
transcript.whisperx[307].start 9063.19
transcript.whisperx[307].end 9091.747
transcript.whisperx[307].text 規劃的過程我們會等關稅確定以後我們會做一些更仔細的研擬那最後呢我想再次謝謝舉辦這次的公聽會然後各位學者的建言那我想國發會不會持續關注相關國際經貿情勢的變化然後針對政府要提升的提出的中長期的經濟調整戰略我們也會持續吸收而且那個
transcript.whisperx[308].start 9093.048
transcript.whisperx[308].end 9094.05
transcript.whisperx[308].text 接受各方的建議
transcript.whisperx[309].start 9116.132
transcript.whisperx[309].end 9124.902
transcript.whisperx[309].text 主席 各單位代表承蒙貴委員會邀請參加今天的公聽會經濟部緊就因應關稅衝擊的產業對策還有經貿戰略的調整來做說明自從川普宣布對等關稅以來從總統院長
transcript.whisperx[310].start 9136.815
transcript.whisperx[310].end 9161.203
transcript.whisperx[310].text 都有到下鄉到各地去了解可能會受影響的產業他們的心聲經濟部也密集的跟相關的產業代表們進行了多場次的座談終結這些業者的需求他們最主要最關心的就是希望政府能優先的給予金融資源還有擴大出口拓銷等需求
transcript.whisperx[311].start 9162.864
transcript.whisperx[311].end 9184.944
transcript.whisperx[311].text 在應對的部分就短期的方面來說我們最主要的有採取三項的措施第一個是出口供應鏈的支持行政院提出的特別條例當中經濟部會投入460億元提供我們廠商相關的金融資源尤其是對中小微企業周轉性支出或者購買
transcript.whisperx[312].start 9186.085
transcript.whisperx[312].end 9195.352
transcript.whisperx[312].text 機器設備貸款的利息補貼我們也協助業者拓展海外的市場在海外設立發貨倉庫或者展示中心
transcript.whisperx[313].start 9196.806
transcript.whisperx[313].end 9215.764
transcript.whisperx[313].text 另外也将支持企业投入研发转型以及设备太旧换新等措施第二个是持续的来帮助我们业者争取海外的订单今年四月份我们特别针对可能比较会受冲击的产业包括机械金属
transcript.whisperx[314].start 9216.641
transcript.whisperx[314].end 9238.437
transcript.whisperx[314].text 水五金手工具還有扣件人產業聚落辦理了全球搶單的大會總共有48國454位的國際的買主來台跟我們的業者進行媒合的洽商有了這樣子的經驗之後我們也規劃在今年的下半年也會再次的辦理
transcript.whisperx[315].start 9239.317
transcript.whisperx[315].end 9258.167
transcript.whisperx[315].text 同樣的這個搶單大會來精準煤和潛在的買主第三個是海外布局的服務經濟部也非常的關心海外台商受美國關稅影響的情形已經設置了專線專網的窗口提供可能受影響產業的還有業者的諮詢
transcript.whisperx[316].start 9262.316
transcript.whisperx[316].end 9289.443
transcript.whisperx[316].text 至於對有益到海外布局的台商例如他可能會想去美國設廠或移轉到東南亞或印度我們也會提供目標市場的相關的資訊還有我們的建議來幫助他們尋找合作夥伴等至於在中長期的調整我們最主要的目標是要協助產業升級跟深化經貿布局
transcript.whisperx[317].start 9291.819
transcript.whisperx[317].end 9298.108
transcript.whisperx[317].text 賴總統也有特別強調台灣的經濟體質要堅固出口導向以及擴大內需所以呢我們經濟部也會
transcript.whisperx[318].start 9300.339
transcript.whisperx[318].end 9329.719
transcript.whisperx[318].text 配合推動落實總統立足台灣佈局全球加強美國行銷權世界的目標在立足台灣部分我們政府會幫助業者投入高質化的產品開發推動低碳化智慧化的轉型那我們也非常的歡迎國際的大廠到台灣加碼投資經濟部會持續改善經貿的投資環境延續投資台灣三大方案來幫助台商跟外商在擴大在台投資
transcript.whisperx[319].start 9330.739
transcript.whisperx[319].end 9351.493
transcript.whisperx[319].text 在布局全球經濟部會持續帶領我們的業者開拓全球市場並且聚焦中東歐日本美國菲律賓等貿易夥伴例如我們已經在捷克跟日本設立了台灣貿易投資中心也會規劃今年下半年在美國設立提供台商一戰式的投資服務
transcript.whisperx[320].start 9353.59
transcript.whisperx[320].end 9370.416
transcript.whisperx[320].text 此外,台美产业高度互补,尤其是在科技的领域合作密切。近两年,美国已经成为台湾最大的投资对象,我们的厂商主要是着眼于接近客户市场商机,成为美国供应链重要的伙伴。
transcript.whisperx[321].start 9371.076
transcript.whisperx[321].end 9387.95
transcript.whisperx[321].text 随着国际局势跟供应链的调整,经济部会帮助有意去美国市场开发的这些企业能尽速的落地,同时政府会持续积极推动跟美国洽签避免双重科税协定,创造有利企业的投资环境。
transcript.whisperx[322].start 9389.298
transcript.whisperx[322].end 9405.589
transcript.whisperx[322].text 在行銷全世界部分經濟部會運用既有的交流管道強化與美日歐產業合作深化夥伴關係我們也會幫助業者持續掌握東協印度等市場商機來打造台灣
transcript.whisperx[323].start 9406.468
transcript.whisperx[323].end 9435.163
transcript.whisperx[323].text 具有高品質安全健康永續形象的台灣產品經濟部將持續的關注美國關稅的政策還有國際經貿形勢的發展同時我們也非常感謝今天出席的各位委員各位專家還有企業代表所提供的建議我們會聆聽各行各業所需面臨的這個需求及挑戰也讓我們政府的應對的對策能夠貼合業者的需求以上報告 敬您指教
transcript.whisperx[324].start 9439.366
transcript.whisperx[324].end 9444.688
transcript.whisperx[324].text 主席還有今天的各位學者專家為因應美國對等關稅對台灣的衝擊農業部秉持深化台美經貿關係雙方互利互惠以及
transcript.whisperx[325].start 9467.515
transcript.whisperx[325].end 9472.705
transcript.whisperx[325].text 維護產業競爭力、穩定永續發展、確保農民權利等原則推動台灣農業施政及對外協商
transcript.whisperx[326].start 9475.728
transcript.whisperx[326].end 9491.233
transcript.whisperx[326].text 同時農業部鑒於農漁業發展與國家糧食安全息息相關堅持適當關稅以確保我國糧食安全絕不會完全仰賴進口對於產業照顧也將以農漁民為優先與美方進行協商為因應美國關稅及國際經貿情勢的變化農業部已經提出
transcript.whisperx[327].start 9502.377
transcript.whisperx[327].end 9517.388
transcript.whisperx[327].text 農業三大面向六大措施全力讓國家經濟穩定產業發展穩定及國人生活安心我們預計投入180億涵蓋生產儲運及產銷至外銷層面資金協助與生產場域補助及外銷獎勵
transcript.whisperx[328].start 9524.963
transcript.whisperx[328].end 9547.171
transcript.whisperx[328].text 那當中農業三大面向六大措施最主要的第一我們要強化農業的金融支持農業貸款利率加碼補貼第二提升農產業競爭力包括強化外銷能源體系透過我們農業試驗改良場所還有行政機構加強產業價值轉型協助取得國內外
transcript.whisperx[329].start 9552.248
transcript.whisperx[329].end 9568.654
transcript.whisperx[329].text 標章及認證那第三協助開拓多元市場擴大國內外行銷擴大海外行銷那最後要跟各位先進報告其實從為了要因應美國
transcript.whisperx[330].start 9571.384
transcript.whisperx[330].end 9586.794
transcript.whisperx[330].text 關稅所以農業部從今年的四月初以來我們陸續到各個主要的產地跟相關產業的農民還有農民團體以及農企業舉行了非常多場的這個座談會同時我們也設了0800的專線來協助農漁民或者是相關的業者諮詢了解
transcript.whisperx[331].start 9595.353
transcript.whisperx[331].end 9612.724
transcript.whisperx[331].text 對應美國可能實施關稅的相關的影響我們主要的目的就是要確保農漁民的權利以上報告謝謝次長接下來請衛福部食品藥物管理署的林金富副署長
transcript.whisperx[332].start 9623.064
transcript.whisperx[332].end 9630.728
transcript.whisperx[332].text 主席 各位委員 專家 縣進 大家好今天大院第11屆第三會期財政委員會召開
transcript.whisperx[333].start 9632.413
transcript.whisperx[333].end 9651.29
transcript.whisperx[333].text 今天的公聽會 衛部在此特別感謝衛部針對提供三 兼顧食安與農業利益之衝擊及政府應用措施政府將如何同步保障本土農業與消費者權益避免遭受美方高額報復性關稅 說明如下
transcript.whisperx[334].start 9654.028
transcript.whisperx[334].end 9667.197
transcript.whisperx[334].text 在面對各項食品安全議題時本部秉持國家至上食品優先為前提始終以民眾健康為核心科學分析為基礎風險評估為依據作為決策之基本原則
transcript.whisperx[335].start 9672.162
transcript.whisperx[335].end 9689.16
transcript.whisperx[335].text 本於審慎與專業的態度延期國際規範與科學證據在確保食品安全無虞的前提下訂定安全且合理的管理措施以維護國家整體利益與全民的健康福祉
transcript.whisperx[336].start 9691.089
transcript.whisperx[336].end 9715.743
transcript.whisperx[336].text 我國身為世界貿易組織 的會員國在食品安全管理的政策與訂定執行一直遵循以科學實證與風險評估為基礎確保從產地到餐桌的每一環節皆符合規範致力為民眾建構實在安心、實在放心的環境
transcript.whisperx[337].start 9717.045
transcript.whisperx[337].end 9723.41
transcript.whisperx[337].text 再一次感謝各位委員專家先進的寶貴意見衛福部會繼續努力以上報告謝謝好接下來請財政部莊瑞雲部長主席各位委員各位女士先生大家好
transcript.whisperx[338].start 9747.458
transcript.whisperx[338].end 9763.085
transcript.whisperx[338].text 現在緊究本部涉及到台美對等關稅協商重要議題的幾個重點跟各位做一個報告首先就是在這一次的談判當中針對美國非常重視的就是防堵違規轉運這個議題那對於這個議題我們海關採取了事前嚴防
transcript.whisperx[339].start 9768.347
transcript.whisperx[339].end 9774.229
transcript.whisperx[339].text 市中嚴查以及事後嚴處的三嚴措施所謂的事前嚴防就是配合經濟部公告從今年的5月開始到必須要輸美產品必須要附原產地的聲明書那麼這個部分從5月7號到7月6號總共已經我們也查核了這方面的聲明書超過了17萬
transcript.whisperx[340].start 9792.735
transcript.whisperx[340].end 9799.262
transcript.whisperx[340].text 9000件那麼業者的配合情形也良好在市中嚴查的部分我們是用系統來篩選高風險輸美貨物並且給警示那麼海關同仁就會嚴格查核貨物的產地還有標示
transcript.whisperx[341].start 9807.351
transcript.whisperx[341].end 9818.756
transcript.whisperx[341].text 並且把查核的結果納入風險分析那在事後延處的部分我們在今年的4月到今年的7月13號已經查核了蘇美貨物9500多筆那麼也有移送經濟部國貿署依照國貿易法來採取的案件也達到106案
transcript.whisperx[342].start 9827.959
transcript.whisperx[342].end 9846.82
transcript.whisperx[342].text 第二個部分我們會持續深化和美國貿易的便捷化的合作來維護貿易的一個次序台美雙方持續會推動擴大電子化的通關還有預先審核機制來簡化貨品進出口的程序和通關的作業並且會深化交流反傾銷稅還有平衡稅的調查資訊
transcript.whisperx[343].start 9850.203
transcript.whisperx[343].end 9877.908
transcript.whisperx[343].text 來提升我國的產業經營環境以及供應鏈的韌性維護首髮廠商以及國家的產業利益那第二個部分要報告的時候我們本部相關的財政支持措施以及其他的一個相關措施首先在金融支持方面為了減輕廠商的資金成本那麼本部在今年的4月21號已經發布了強化出口廠商金融支持的措施執行要點由我們
transcript.whisperx[344].start 9878.818
transcript.whisperx[344].end 9895.383
transcript.whisperx[344].text 輸出物銀行來提供相關的減免措施包含了貿易融資利息的減收還有輸出保險費用的減免那麼我們輸出物銀行已經和27家的金融機構完成了簽約同時在今年的6月也建置了利息減碼平台
transcript.whisperx[345].start 9896.863
transcript.whisperx[345].end 9911.469
transcript.whisperx[345].text 等到公告施行以後就會全面的開放使用同時在4月到6月之間也辦理了多場的廠商還有金融機構的說明會那對於中小企業所諮詢的相關問題也逐一回覆那麼也達到了959件
transcript.whisperx[346].start 9913.19
transcript.whisperx[346].end 9933.859
transcript.whisperx[346].text 那么在公股银行的协助部分呢本部会持续的督导我们公股银行依照金管会来办理对企业融资宽款措施那么对于符合条件就会提供环角本席或展延借款年期的协助并且会持续的推动中小及微型企业的振兴融资方案
transcript.whisperx[347].start 9935.06
transcript.whisperx[347].end 9955.459
transcript.whisperx[347].text 來減輕企業在資金方面的壓力第三個部分我們也提供租稅協助方面第一個會根據的提供租稅優惠來支持我國出口供應鏈的產業那在今年5月7號也修正公布通過產創條例的部分條文其中第10條之一的智慧機械的投資抵減施行期間延長到118年底
transcript.whisperx[348].start 9959.483
transcript.whisperx[348].end 9979.825
transcript.whisperx[348].text 同时还扩大了试用范围,新增了人工智慧以及智能检探的项目,也提高了支出的上限从10亿元提高到20亿元。另外对于有关新创产业的试用条件的部分,也同时在23条之一及23条之二做了相关的修正,来鼓励资金可以益助新创的事业。
transcript.whisperx[349].start 9981.294
transcript.whisperx[349].end 9985.397
transcript.whisperx[349].text 那第二個部分我們還提供了相關的協助措施來減輕企業和民眾的負擔那麼大家都知道今年的所得稅的結算申報呢延長了一個月那可以有效減輕企業和民眾在申報方面的壓力那另外也受理了民眾收到那個關稅
transcript.whisperx[350].start 9999.506
transcript.whisperx[350].end 10009.711
transcript.whisperx[350].text 政策影響可以申請稅付稅的申請嚴分期繳納的一個稅券那目前也核准了有6800多件那應納稅額也達到288億那對於營業人因為美國關稅的影響而我們採取的相關的一些可以退還營業稅亦付稅額就不需要有
transcript.whisperx[351].start 10023.593
transcript.whisperx[351].end 10028.956
transcript.whisperx[351].text 逐步由國稅局報本部核准就由國稅局就可以辦理了那目前來說也已經核准了有72家退稅金額也達到1790萬元那另外本部也在我們本部的網站也設置了
transcript.whisperx[352].start 10039.942
transcript.whisperx[352].end 10054.249
transcript.whisperx[352].text 專區來提供專人的諮詢服務讓企業跟民眾都可以及時的獲得的協助再降低業者行政成本部分從今年4月取科學園區的1224家的保稅業者可以按月匯報通關案件免付裝箱單那麼海關是透過保稅智慧服務平台
transcript.whisperx[353].start 10062.793
transcript.whisperx[353].end 10085.204
transcript.whisperx[353].text 來擴大對保稅業者實施遠端集合這樣可以減輕業者的一個成本那最後呢本部將會持續關注美國關稅政策最新的發展就各個產業主管機關所評估產業所受的影響提供相關的資源以及協助那對於今天公聽會呢各位先進所提相關的意見我們都會納入參考以上的說明進行指教謝謝
transcript.whisperx[354].start 10089.662
transcript.whisperx[354].end 10093.603
transcript.whisperx[354].text 好,谢谢部长。接下去是劳动部的黄珍娜次长。
transcript.whisperx[355].start 10103.961
transcript.whisperx[355].end 10126.98
transcript.whisperx[355].text 主席 各位與會的女士先生 大家午安首先感謝貴委員會跟今天與會的學者專家產業代表跟工會夥伴就今天舉行了台美政府對等關稅協商我國政府的因應對策公聽會提供了許多寶貴的意見跟諸多的提醒
transcript.whisperx[356].start 10127.66
transcript.whisperx[356].end 10146.491
transcript.whisperx[356].text 那我現在就就勞動部因應美方實施對等關稅的影響推動勞工保護機制來降低裁員與減薪風險確保就業穩定事項二要說明今天的說明有兩個重點一個是掌握勞動市場變動的情形主動訪視事業單位跟工會
transcript.whisperx[357].start 10150.553
transcript.whisperx[357].end 10167.645
transcript.whisperx[357].text 第二個部分報告的是因應美國對等關稅發展勞動部已經採行的相關措施穩定就業勞動部在美國即將宣布對等關稅措施之前我們就建立了受美國關稅影響事業單位的監測通報機制定期的會診
transcript.whisperx[358].start 10173.108
transcript.whisperx[358].end 10195.133
transcript.whisperx[358].text 地方政府通報受到美國關稅影響而實施減班休息的事業單位名單以及僱主團體通報的名單並且針對受影響的事業單位由勞動部勞動力發展署的五個分署主動進行關懷訪視跟提供相關的協助措施同時也持續訪視相關的工會掌握勞動市場變動的情形及時的給予協助
transcript.whisperx[359].start 10202.396
transcript.whisperx[359].end 10221.096
transcript.whisperx[359].text 為了避免僱主資遣勞工嚴重影響勞工的勞動權益僱主在實施減班減少工時的權益措施的時候應該要參考勞動部首發布的因應景氣影響勞僱雙方協商減少工時應行注意事項
transcript.whisperx[360].start 10222.037
transcript.whisperx[360].end 10246.467
transcript.whisperx[360].text 以及勞僱雙方協商減少工時協議書我們有提供範例來跟勞工簽訂書面協議並且通報他所在地的勞工行政主管機關以及勞動部的勞動力發展署各所署的分署勞動部也都持續密切來監測減班休息的數據並請各地方政府的審慎把關積極掌握各縣市勞工產業勞工的狀況做最後的因應
transcript.whisperx[361].start 10252.049
transcript.whisperx[361].end 10267.719
transcript.whisperx[361].text 那勞動部除了透過勞動力發展署各所署分署主動訪視關懷廠商那我們從114年就今年的4月9號到7月10號為止五個分署總共訪視合計11157加次訪視的方式包括了電訪跟實地的走訪
transcript.whisperx[362].start 10275.363
transcript.whisperx[362].end 10302.182
transcript.whisperx[362].text 那美國政府發布實施對等關稅措施之後勞動部就展開了工會的訪視也已經跟台中、桃園、彰化、新北、雲林、新竹縣這些縣市的產業總工會跟他的會員工會來座談聆聽勞工的心聲以及相關的建議並且與工會建立了直接聯繫的溝通管道掌握到受衝擊的企業經營的現況
transcript.whisperx[363].start 10304.924
transcript.whisperx[363].end 10313.771
transcript.whisperx[363].text 第二部分我們所採行的穩定就業措施為了降低勞工解雇風險對潛在受衝擊勞工提供薪資補貼鼓勵事業單位辦訓讓勞工能夠穩定就業勞動部已經啟動支持受影響企業規劃辦理訓練以及支持減班休息勞工再充電的計畫
transcript.whisperx[364].start 10328.684
transcript.whisperx[364].end 10350.503
transcript.whisperx[364].text 其他支持勞工安定就業的計畫我們也將視勞動情勢的發展逐步來推動以全力協助勞工就業在支持受影響企業規劃辦理訓練的部分我們協助企業提升勞工員工的職能以維持企業的競爭力提供他企業內部或者是聯合辦訓最高補助到200萬元
transcript.whisperx[365].start 10354.587
transcript.whisperx[365].end 10367.502
transcript.whisperx[365].text 今年度受理申請的時限也延長到9月30號我們也鼓勵投保就業保險的民營失業單位跟非營利法人或團體積極的投入職能的升級
transcript.whisperx[366].start 10368.943
transcript.whisperx[366].end 10391.11
transcript.whisperx[366].text 第二部分我們支持減班休息勞工再充電計劃我們專案協助在職勞工跟受僱事業單位因應美國對等關稅導致的減班休息勞工利用減班休息這個時段來參加訓練課程可以在減班休息前後的薪資差額內依照他實際參訓的時數申請訓練津貼
transcript.whisperx[367].start 10395.071
transcript.whisperx[367].end 10417.358
transcript.whisperx[367].text 每個月最高可以補助到17,210元那麼為了確保薪資差額較小的甚至到沒有什麼差額的勞工也能夠順利參訓我們特別也針對減班休息前月頭保薪資在30,300元以下的全職勞工同樣可以依照實際參訓的時數申請訓練津貼
transcript.whisperx[368].start 10420.839
transcript.whisperx[368].end 10422.523
transcript.whisperx[368].text 每個月最高補助2280元那麼補助事業單位辦訓的費用也加碼提高到350萬元
transcript.whisperx[369].start 10431.475
transcript.whisperx[369].end 10454.424
transcript.whisperx[369].text 為了降低裁員跟減薪的風險確保就業的穩定勞動部除了掌握事業單位的人力變動情形跟服務需求之外我們並主動聯繫關心受影響的企業工會聆聽受影響情形並收集相關的建議未來也將持續密切的監測掌握各縣市產業勞工的狀況
transcript.whisperx[370].start 10456.986
transcript.whisperx[370].end 10466.737
transcript.whisperx[370].text 同時我們要視美國關稅實際狀況,據時調整因應及滾動修正這些措施,來保障勞工的穩定就業。
transcript.whisperx[371].start 10476.667
transcript.whisperx[371].end 10486.673
transcript.whisperx[371].text 我想今天依照立法院職權刑事法第58條的規定委員會應該在公聽會終結後10日內依照出席者所提供的正反意見
transcript.whisperx[372].start 10487.509
transcript.whisperx[372].end 10505.416
transcript.whisperx[372].text 提出公聽會的報告送交本院的全體委員及出席者所以我們今天會把所有與會者所寶貴的發言意見作為未來修法的參考並會編成冊送交本院全體委員以及今日初列席提供建言的貴賓參閱
transcript.whisperx[373].start 10507.077
transcript.whisperx[373].end 10520.502
transcript.whisperx[373].text 如果各位貴賓還有其他書面意見或相關的資料也請盡速的提供給我們將併入本次的公聽會報告再次感謝各位學者專家以及政府機關代表的出席謝謝大家我們今天散會謝謝