iVOD / 17362

Field Value
IVOD_ID 17362
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17362
日期 2026-04-17
會議資料.會議代碼 院會-11-5-7
會議資料.會議代碼:str 第11屆第5會期第7次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 7
會議資料.種類 院會
會議資料.標題 第11屆第5會期第7次會議
影片種類 Full
開始時間 2026-04-17T08:32:46+08:00
結束時間 2026-04-17T15:50:00+08:00
影片長度 07:17:14
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a609eeda9b1f176f780076f414ddf3fe883b847b9569dcea103d0f5a7e0fbc588e875ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-04-17T09:00:00+08:00
會議名稱 第11屆第5會期第7次會議(事由:一、對行政院院長提出施政方針及施政報告繼續質詢。二、邀請行政院院長、主計長、財政部部長列席報告「115年度中央政府總預算案」編製經過並備質詢(含志願役軍人加薪及警消人員退休金等預算編製處理情形併予報告)。(4月21日)三、4月17日上午9時至10時為國是論壇時間。)
委員名稱 完整會議
委員發言時間 08:32:46 - 15:50:00
transcript.pyannote[0].speaker SPEAKER_09
transcript.pyannote[0].start 1643.47034375
transcript.pyannote[0].end 1651.99221875
transcript.pyannote[1].speaker SPEAKER_02
transcript.pyannote[1].start 1666.33596875
transcript.pyannote[1].end 1666.74096875
transcript.pyannote[2].speaker SPEAKER_02
transcript.pyannote[2].start 1667.07846875
transcript.pyannote[2].end 1668.79971875
transcript.pyannote[3].speaker SPEAKER_02
transcript.pyannote[3].start 1668.93471875
transcript.pyannote[3].end 1670.13284375
transcript.pyannote[4].speaker SPEAKER_02
transcript.pyannote[4].start 1670.74034375
transcript.pyannote[4].end 1671.29721875
transcript.pyannote[5].speaker SPEAKER_02
transcript.pyannote[5].start 1671.46596875
transcript.pyannote[5].end 1673.49096875
transcript.pyannote[6].speaker SPEAKER_02
transcript.pyannote[6].start 1673.94659375
transcript.pyannote[6].end 1674.94221875
transcript.pyannote[7].speaker SPEAKER_02
transcript.pyannote[7].start 1675.16159375
transcript.pyannote[7].end 1678.08096875
transcript.pyannote[8].speaker SPEAKER_02
transcript.pyannote[8].start 1678.58721875
transcript.pyannote[8].end 1681.99596875
transcript.pyannote[9].speaker SPEAKER_02
transcript.pyannote[9].start 1682.38409375
transcript.pyannote[9].end 1682.87346875
transcript.pyannote[10].speaker SPEAKER_02
transcript.pyannote[10].start 1683.22784375
transcript.pyannote[10].end 1690.24784375
transcript.pyannote[11].speaker SPEAKER_02
transcript.pyannote[11].start 1690.75409375
transcript.pyannote[11].end 1695.98534375
transcript.pyannote[12].speaker SPEAKER_02
transcript.pyannote[12].start 1696.35659375
transcript.pyannote[12].end 1702.56659375
transcript.pyannote[13].speaker SPEAKER_02
transcript.pyannote[13].start 1703.20784375
transcript.pyannote[13].end 1706.29596875
transcript.pyannote[14].speaker SPEAKER_02
transcript.pyannote[14].start 1706.51534375
transcript.pyannote[14].end 1709.04659375
transcript.pyannote[15].speaker SPEAKER_02
transcript.pyannote[15].start 1709.14784375
transcript.pyannote[15].end 1711.47659375
transcript.pyannote[16].speaker SPEAKER_02
transcript.pyannote[16].start 1712.21909375
transcript.pyannote[16].end 1714.80096875
transcript.pyannote[17].speaker SPEAKER_02
transcript.pyannote[17].start 1714.98659375
transcript.pyannote[17].end 1719.32346875
transcript.pyannote[18].speaker SPEAKER_02
transcript.pyannote[18].start 1719.79596875
transcript.pyannote[18].end 1728.38534375
transcript.pyannote[19].speaker SPEAKER_02
transcript.pyannote[19].start 1728.72284375
transcript.pyannote[19].end 1732.55346875
transcript.pyannote[20].speaker SPEAKER_02
transcript.pyannote[20].start 1732.94159375
transcript.pyannote[20].end 1737.75096875
transcript.pyannote[21].speaker SPEAKER_02
transcript.pyannote[21].start 1738.07159375
transcript.pyannote[21].end 1739.89409375
transcript.pyannote[22].speaker SPEAKER_02
transcript.pyannote[22].start 1740.01221875
transcript.pyannote[22].end 1740.83909375
transcript.pyannote[23].speaker SPEAKER_02
transcript.pyannote[23].start 1741.24409375
transcript.pyannote[23].end 1742.88096875
transcript.pyannote[24].speaker SPEAKER_02
transcript.pyannote[24].start 1742.98221875
transcript.pyannote[24].end 1744.14659375
transcript.pyannote[25].speaker SPEAKER_02
transcript.pyannote[25].start 1744.24784375
transcript.pyannote[25].end 1761.64596875
transcript.pyannote[26].speaker SPEAKER_02
transcript.pyannote[26].start 1761.89909375
transcript.pyannote[26].end 1769.23971875
transcript.pyannote[27].speaker SPEAKER_02
transcript.pyannote[27].start 1769.59409375
transcript.pyannote[27].end 1773.37409375
transcript.pyannote[28].speaker SPEAKER_02
transcript.pyannote[28].start 1773.89721875
transcript.pyannote[28].end 1794.50159375
transcript.pyannote[29].speaker SPEAKER_02
transcript.pyannote[29].start 1794.67034375
transcript.pyannote[29].end 1796.83034375
transcript.pyannote[30].speaker SPEAKER_02
transcript.pyannote[30].start 1796.93159375
transcript.pyannote[30].end 1808.96346875
transcript.pyannote[31].speaker SPEAKER_02
transcript.pyannote[31].start 1809.30096875
transcript.pyannote[31].end 1811.03909375
transcript.pyannote[32].speaker SPEAKER_02
transcript.pyannote[32].start 1811.56221875
transcript.pyannote[32].end 1815.15659375
transcript.pyannote[33].speaker SPEAKER_02
transcript.pyannote[33].start 1815.47721875
transcript.pyannote[33].end 1822.81784375
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 1823.15534375
transcript.pyannote[34].end 1831.91346875
transcript.pyannote[35].speaker SPEAKER_02
transcript.pyannote[35].start 1832.33534375
transcript.pyannote[35].end 1850.79659375
transcript.pyannote[36].speaker SPEAKER_09
transcript.pyannote[36].start 1852.93971875
transcript.pyannote[36].end 1858.89659375
transcript.pyannote[37].speaker SPEAKER_19
transcript.pyannote[37].start 1880.83409375
transcript.pyannote[37].end 1881.40784375
transcript.pyannote[38].speaker SPEAKER_19
transcript.pyannote[38].start 1882.03221875
transcript.pyannote[38].end 1882.75784375
transcript.pyannote[39].speaker SPEAKER_19
transcript.pyannote[39].start 1883.23034375
transcript.pyannote[39].end 1883.90534375
transcript.pyannote[40].speaker SPEAKER_19
transcript.pyannote[40].start 1885.23846875
transcript.pyannote[40].end 1885.99784375
transcript.pyannote[41].speaker SPEAKER_19
transcript.pyannote[41].start 1887.26346875
transcript.pyannote[41].end 1893.72659375
transcript.pyannote[42].speaker SPEAKER_19
transcript.pyannote[42].start 1894.11471875
transcript.pyannote[42].end 1898.19846875
transcript.pyannote[43].speaker SPEAKER_19
transcript.pyannote[43].start 1898.99159375
transcript.pyannote[43].end 1907.14221875
transcript.pyannote[44].speaker SPEAKER_19
transcript.pyannote[44].start 1907.47971875
transcript.pyannote[44].end 1911.64784375
transcript.pyannote[45].speaker SPEAKER_19
transcript.pyannote[45].start 1911.98534375
transcript.pyannote[45].end 1914.88784375
transcript.pyannote[46].speaker SPEAKER_19
transcript.pyannote[46].start 1915.84971875
transcript.pyannote[46].end 1917.06471875
transcript.pyannote[47].speaker SPEAKER_19
transcript.pyannote[47].start 1917.55409375
transcript.pyannote[47].end 1919.59596875
transcript.pyannote[48].speaker SPEAKER_19
transcript.pyannote[48].start 1920.42284375
transcript.pyannote[48].end 1923.34221875
transcript.pyannote[49].speaker SPEAKER_19
transcript.pyannote[49].start 1924.60784375
transcript.pyannote[49].end 1925.46846875
transcript.pyannote[50].speaker SPEAKER_19
transcript.pyannote[50].start 1926.41346875
transcript.pyannote[50].end 1928.52284375
transcript.pyannote[51].speaker SPEAKER_19
transcript.pyannote[51].start 1928.87721875
transcript.pyannote[51].end 1930.37909375
transcript.pyannote[52].speaker SPEAKER_19
transcript.pyannote[52].start 1930.98659375
transcript.pyannote[52].end 1931.61096875
transcript.pyannote[53].speaker SPEAKER_19
transcript.pyannote[53].start 1932.15096875
transcript.pyannote[53].end 1932.97784375
transcript.pyannote[54].speaker SPEAKER_19
transcript.pyannote[54].start 1934.49659375
transcript.pyannote[54].end 1936.60596875
transcript.pyannote[55].speaker SPEAKER_19
transcript.pyannote[55].start 1936.84221875
transcript.pyannote[55].end 1937.80409375
transcript.pyannote[56].speaker SPEAKER_19
transcript.pyannote[56].start 1938.10784375
transcript.pyannote[56].end 1939.71096875
transcript.pyannote[57].speaker SPEAKER_19
transcript.pyannote[57].start 1941.06096875
transcript.pyannote[57].end 1944.53721875
transcript.pyannote[58].speaker SPEAKER_19
transcript.pyannote[58].start 1944.90846875
transcript.pyannote[58].end 1945.49909375
transcript.pyannote[59].speaker SPEAKER_19
transcript.pyannote[59].start 1945.73534375
transcript.pyannote[59].end 1946.98409375
transcript.pyannote[60].speaker SPEAKER_19
transcript.pyannote[60].start 1947.16971875
transcript.pyannote[60].end 1948.45221875
transcript.pyannote[61].speaker SPEAKER_19
transcript.pyannote[61].start 1948.80659375
transcript.pyannote[61].end 1950.05534375
transcript.pyannote[62].speaker SPEAKER_19
transcript.pyannote[62].start 1950.91596875
transcript.pyannote[62].end 1954.45971875
transcript.pyannote[63].speaker SPEAKER_19
transcript.pyannote[63].start 1955.43846875
transcript.pyannote[63].end 1957.17659375
transcript.pyannote[64].speaker SPEAKER_19
transcript.pyannote[64].start 1957.44659375
transcript.pyannote[64].end 1960.85534375
transcript.pyannote[65].speaker SPEAKER_19
transcript.pyannote[65].start 1961.59784375
transcript.pyannote[65].end 1964.66909375
transcript.pyannote[66].speaker SPEAKER_19
transcript.pyannote[66].start 1964.98971875
transcript.pyannote[66].end 1965.69846875
transcript.pyannote[67].speaker SPEAKER_19
transcript.pyannote[67].start 1966.13721875
transcript.pyannote[67].end 1966.37346875
transcript.pyannote[68].speaker SPEAKER_19
transcript.pyannote[68].start 1966.60971875
transcript.pyannote[68].end 1968.11159375
transcript.pyannote[69].speaker SPEAKER_19
transcript.pyannote[69].start 1968.48284375
transcript.pyannote[69].end 1970.10284375
transcript.pyannote[70].speaker SPEAKER_19
transcript.pyannote[70].start 1970.32221875
transcript.pyannote[70].end 1970.94659375
transcript.pyannote[71].speaker SPEAKER_19
transcript.pyannote[71].start 1971.23346875
transcript.pyannote[71].end 1975.06409375
transcript.pyannote[72].speaker SPEAKER_19
transcript.pyannote[72].start 1975.38471875
transcript.pyannote[72].end 1976.11034375
transcript.pyannote[73].speaker SPEAKER_19
transcript.pyannote[73].start 1976.66721875
transcript.pyannote[73].end 1977.10596875
transcript.pyannote[74].speaker SPEAKER_19
transcript.pyannote[74].start 1978.54034375
transcript.pyannote[74].end 1980.86909375
transcript.pyannote[75].speaker SPEAKER_19
transcript.pyannote[75].start 1981.59471875
transcript.pyannote[75].end 1983.24846875
transcript.pyannote[76].speaker SPEAKER_19
transcript.pyannote[76].start 1984.29471875
transcript.pyannote[76].end 1985.96534375
transcript.pyannote[77].speaker SPEAKER_19
transcript.pyannote[77].start 1986.31971875
transcript.pyannote[77].end 1986.84284375
transcript.pyannote[78].speaker SPEAKER_19
transcript.pyannote[78].start 1987.14659375
transcript.pyannote[78].end 1987.90596875
transcript.pyannote[79].speaker SPEAKER_19
transcript.pyannote[79].start 1988.09159375
transcript.pyannote[79].end 1988.63159375
transcript.pyannote[80].speaker SPEAKER_19
transcript.pyannote[80].start 1989.20534375
transcript.pyannote[80].end 1989.76221875
transcript.pyannote[81].speaker SPEAKER_19
transcript.pyannote[81].start 1990.16721875
transcript.pyannote[81].end 1991.56784375
transcript.pyannote[82].speaker SPEAKER_19
transcript.pyannote[82].start 1992.69846875
transcript.pyannote[82].end 1999.26284375
transcript.pyannote[83].speaker SPEAKER_19
transcript.pyannote[83].start 2000.25846875
transcript.pyannote[83].end 2001.76034375
transcript.pyannote[84].speaker SPEAKER_19
transcript.pyannote[84].start 2002.38471875
transcript.pyannote[84].end 2005.15221875
transcript.pyannote[85].speaker SPEAKER_19
transcript.pyannote[85].start 2005.43909375
transcript.pyannote[85].end 2007.53159375
transcript.pyannote[86].speaker SPEAKER_19
transcript.pyannote[86].start 2008.17284375
transcript.pyannote[86].end 2009.69159375
transcript.pyannote[87].speaker SPEAKER_19
transcript.pyannote[87].start 2010.11346875
transcript.pyannote[87].end 2015.49659375
transcript.pyannote[88].speaker SPEAKER_19
transcript.pyannote[88].start 2015.69909375
transcript.pyannote[88].end 2016.76221875
transcript.pyannote[89].speaker SPEAKER_19
transcript.pyannote[89].start 2017.04909375
transcript.pyannote[89].end 2022.21284375
transcript.pyannote[90].speaker SPEAKER_19
transcript.pyannote[90].start 2022.53346875
transcript.pyannote[90].end 2023.24221875
transcript.pyannote[91].speaker SPEAKER_19
transcript.pyannote[91].start 2024.33909375
transcript.pyannote[91].end 2025.01409375
transcript.pyannote[92].speaker SPEAKER_19
transcript.pyannote[92].start 2025.11534375
transcript.pyannote[92].end 2028.38909375
transcript.pyannote[93].speaker SPEAKER_19
transcript.pyannote[93].start 2029.24971875
transcript.pyannote[93].end 2030.86971875
transcript.pyannote[94].speaker SPEAKER_19
transcript.pyannote[94].start 2031.93284375
transcript.pyannote[94].end 2035.25721875
transcript.pyannote[95].speaker SPEAKER_19
transcript.pyannote[95].start 2035.64534375
transcript.pyannote[95].end 2046.09096875
transcript.pyannote[96].speaker SPEAKER_19
transcript.pyannote[96].start 2047.00221875
transcript.pyannote[96].end 2047.52534375
transcript.pyannote[97].speaker SPEAKER_19
transcript.pyannote[97].start 2048.01471875
transcript.pyannote[97].end 2048.84159375
transcript.pyannote[98].speaker SPEAKER_19
transcript.pyannote[98].start 2049.12846875
transcript.pyannote[98].end 2051.50784375
transcript.pyannote[99].speaker SPEAKER_19
transcript.pyannote[99].start 2051.99721875
transcript.pyannote[99].end 2059.33784375
transcript.pyannote[100].speaker SPEAKER_19
transcript.pyannote[100].start 2060.24909375
transcript.pyannote[100].end 2061.98721875
transcript.pyannote[101].speaker SPEAKER_19
transcript.pyannote[101].start 2062.18971875
transcript.pyannote[101].end 2065.19346875
transcript.pyannote[102].speaker SPEAKER_09
transcript.pyannote[102].start 2069.31096875
transcript.pyannote[102].end 2075.90909375
transcript.pyannote[103].speaker SPEAKER_12
transcript.pyannote[103].start 2086.10159375
transcript.pyannote[103].end 2087.14784375
transcript.pyannote[104].speaker SPEAKER_12
transcript.pyannote[104].start 2087.29971875
transcript.pyannote[104].end 2091.80534375
transcript.pyannote[105].speaker SPEAKER_12
transcript.pyannote[105].start 2092.27784375
transcript.pyannote[105].end 2096.63159375
transcript.pyannote[106].speaker SPEAKER_12
transcript.pyannote[106].start 2097.17159375
transcript.pyannote[106].end 2102.30159375
transcript.pyannote[107].speaker SPEAKER_12
transcript.pyannote[107].start 2102.99346875
transcript.pyannote[107].end 2103.93846875
transcript.pyannote[108].speaker SPEAKER_12
transcript.pyannote[108].start 2104.44471875
transcript.pyannote[108].end 2106.33471875
transcript.pyannote[109].speaker SPEAKER_12
transcript.pyannote[109].start 2106.70596875
transcript.pyannote[109].end 2110.19909375
transcript.pyannote[110].speaker SPEAKER_12
transcript.pyannote[110].start 2111.46471875
transcript.pyannote[110].end 2112.69659375
transcript.pyannote[111].speaker SPEAKER_12
transcript.pyannote[111].start 2113.13534375
transcript.pyannote[111].end 2117.67471875
transcript.pyannote[112].speaker SPEAKER_12
transcript.pyannote[112].start 2118.55221875
transcript.pyannote[112].end 2139.30846875
transcript.pyannote[113].speaker SPEAKER_12
transcript.pyannote[113].start 2139.86534375
transcript.pyannote[113].end 2147.08784375
transcript.pyannote[114].speaker SPEAKER_12
transcript.pyannote[114].start 2147.50971875
transcript.pyannote[114].end 2150.05784375
transcript.pyannote[115].speaker SPEAKER_12
transcript.pyannote[115].start 2150.19284375
transcript.pyannote[115].end 2155.54221875
transcript.pyannote[116].speaker SPEAKER_12
transcript.pyannote[116].start 2155.86284375
transcript.pyannote[116].end 2165.80221875
transcript.pyannote[117].speaker SPEAKER_12
transcript.pyannote[117].start 2166.15659375
transcript.pyannote[117].end 2167.60784375
transcript.pyannote[118].speaker SPEAKER_12
transcript.pyannote[118].start 2167.89471875
transcript.pyannote[118].end 2169.14346875
transcript.pyannote[119].speaker SPEAKER_12
transcript.pyannote[119].start 2169.48096875
transcript.pyannote[119].end 2171.60721875
transcript.pyannote[120].speaker SPEAKER_12
transcript.pyannote[120].start 2171.99534375
transcript.pyannote[120].end 2175.13409375
transcript.pyannote[121].speaker SPEAKER_12
transcript.pyannote[121].start 2175.65721875
transcript.pyannote[121].end 2180.92221875
transcript.pyannote[122].speaker SPEAKER_12
transcript.pyannote[122].start 2181.29346875
transcript.pyannote[122].end 2184.22971875
transcript.pyannote[123].speaker SPEAKER_12
transcript.pyannote[123].start 2184.80346875
transcript.pyannote[123].end 2187.57096875
transcript.pyannote[124].speaker SPEAKER_12
transcript.pyannote[124].start 2188.16159375
transcript.pyannote[124].end 2194.59096875
transcript.pyannote[125].speaker SPEAKER_12
transcript.pyannote[125].start 2194.91159375
transcript.pyannote[125].end 2197.52721875
transcript.pyannote[126].speaker SPEAKER_12
transcript.pyannote[126].start 2198.10096875
transcript.pyannote[126].end 2202.80909375
transcript.pyannote[127].speaker SPEAKER_12
transcript.pyannote[127].start 2203.77096875
transcript.pyannote[127].end 2204.37846875
transcript.pyannote[128].speaker SPEAKER_12
transcript.pyannote[128].start 2205.10409375
transcript.pyannote[128].end 2207.31471875
transcript.pyannote[129].speaker SPEAKER_12
transcript.pyannote[129].start 2207.56784375
transcript.pyannote[129].end 2211.75284375
transcript.pyannote[130].speaker SPEAKER_12
transcript.pyannote[130].start 2212.61346875
transcript.pyannote[130].end 2213.42346875
transcript.pyannote[131].speaker SPEAKER_12
transcript.pyannote[131].start 2213.74409375
transcript.pyannote[131].end 2216.32596875
transcript.pyannote[132].speaker SPEAKER_12
transcript.pyannote[132].start 2217.35534375
transcript.pyannote[132].end 2219.93721875
transcript.pyannote[133].speaker SPEAKER_12
transcript.pyannote[133].start 2220.57846875
transcript.pyannote[133].end 2223.34596875
transcript.pyannote[134].speaker SPEAKER_12
transcript.pyannote[134].start 2225.03346875
transcript.pyannote[134].end 2228.29034375
transcript.pyannote[135].speaker SPEAKER_12
transcript.pyannote[135].start 2228.74596875
transcript.pyannote[135].end 2229.60659375
transcript.pyannote[136].speaker SPEAKER_12
transcript.pyannote[136].start 2229.82596875
transcript.pyannote[136].end 2232.89721875
transcript.pyannote[137].speaker SPEAKER_12
transcript.pyannote[137].start 2233.72409375
transcript.pyannote[137].end 2239.24221875
transcript.pyannote[138].speaker SPEAKER_12
transcript.pyannote[138].start 2239.57971875
transcript.pyannote[138].end 2242.34721875
transcript.pyannote[139].speaker SPEAKER_12
transcript.pyannote[139].start 2242.58346875
transcript.pyannote[139].end 2246.61659375
transcript.pyannote[140].speaker SPEAKER_12
transcript.pyannote[140].start 2247.13971875
transcript.pyannote[140].end 2248.20284375
transcript.pyannote[141].speaker SPEAKER_12
transcript.pyannote[141].start 2248.92846875
transcript.pyannote[141].end 2253.16409375
transcript.pyannote[142].speaker SPEAKER_12
transcript.pyannote[142].start 2253.82221875
transcript.pyannote[142].end 2260.06596875
transcript.pyannote[143].speaker SPEAKER_12
transcript.pyannote[143].start 2260.21784375
transcript.pyannote[143].end 2268.62159375
transcript.pyannote[144].speaker SPEAKER_09
transcript.pyannote[144].start 2269.16159375
transcript.pyannote[144].end 2275.01721875
transcript.pyannote[145].speaker SPEAKER_20
transcript.pyannote[145].start 2290.30596875
transcript.pyannote[145].end 2291.85846875
transcript.pyannote[146].speaker SPEAKER_20
transcript.pyannote[146].start 2292.49971875
transcript.pyannote[146].end 2293.54596875
transcript.pyannote[147].speaker SPEAKER_20
transcript.pyannote[147].start 2293.88346875
transcript.pyannote[147].end 2295.85784375
transcript.pyannote[148].speaker SPEAKER_20
transcript.pyannote[148].start 2296.04346875
transcript.pyannote[148].end 2297.17409375
transcript.pyannote[149].speaker SPEAKER_20
transcript.pyannote[149].start 2297.79846875
transcript.pyannote[149].end 2298.70971875
transcript.pyannote[150].speaker SPEAKER_20
transcript.pyannote[150].start 2298.86159375
transcript.pyannote[150].end 2300.17784375
transcript.pyannote[151].speaker SPEAKER_20
transcript.pyannote[151].start 2301.00471875
transcript.pyannote[151].end 2304.97034375
transcript.pyannote[152].speaker SPEAKER_20
transcript.pyannote[152].start 2305.71284375
transcript.pyannote[152].end 2308.07534375
transcript.pyannote[153].speaker SPEAKER_20
transcript.pyannote[153].start 2308.78409375
transcript.pyannote[153].end 2310.53909375
transcript.pyannote[154].speaker SPEAKER_20
transcript.pyannote[154].start 2310.75846875
transcript.pyannote[154].end 2312.93534375
transcript.pyannote[155].speaker SPEAKER_20
transcript.pyannote[155].start 2313.47534375
transcript.pyannote[155].end 2314.06596875
transcript.pyannote[156].speaker SPEAKER_20
transcript.pyannote[156].start 2314.38659375
transcript.pyannote[156].end 2315.66909375
transcript.pyannote[157].speaker SPEAKER_20
transcript.pyannote[157].start 2315.95596875
transcript.pyannote[157].end 2316.73221875
transcript.pyannote[158].speaker SPEAKER_20
transcript.pyannote[158].start 2317.22159375
transcript.pyannote[158].end 2320.56284375
transcript.pyannote[159].speaker SPEAKER_20
transcript.pyannote[159].start 2320.96784375
transcript.pyannote[159].end 2322.28409375
transcript.pyannote[160].speaker SPEAKER_20
transcript.pyannote[160].start 2322.85784375
transcript.pyannote[160].end 2323.80284375
transcript.pyannote[161].speaker SPEAKER_20
transcript.pyannote[161].start 2324.19096875
transcript.pyannote[161].end 2325.76034375
transcript.pyannote[162].speaker SPEAKER_20
transcript.pyannote[162].start 2326.35096875
transcript.pyannote[162].end 2327.46471875
transcript.pyannote[163].speaker SPEAKER_20
transcript.pyannote[163].start 2327.71784375
transcript.pyannote[163].end 2331.43034375
transcript.pyannote[164].speaker SPEAKER_20
transcript.pyannote[164].start 2332.07159375
transcript.pyannote[164].end 2332.93221875
transcript.pyannote[165].speaker SPEAKER_20
transcript.pyannote[165].start 2334.41721875
transcript.pyannote[165].end 2336.29034375
transcript.pyannote[166].speaker SPEAKER_20
transcript.pyannote[166].start 2337.08346875
transcript.pyannote[166].end 2338.14659375
transcript.pyannote[167].speaker SPEAKER_20
transcript.pyannote[167].start 2338.46721875
transcript.pyannote[167].end 2340.61034375
transcript.pyannote[168].speaker SPEAKER_20
transcript.pyannote[168].start 2340.96471875
transcript.pyannote[168].end 2342.71971875
transcript.pyannote[169].speaker SPEAKER_20
transcript.pyannote[169].start 2343.59721875
transcript.pyannote[169].end 2344.60971875
transcript.pyannote[170].speaker SPEAKER_20
transcript.pyannote[170].start 2344.98096875
transcript.pyannote[170].end 2347.52909375
transcript.pyannote[171].speaker SPEAKER_20
transcript.pyannote[171].start 2347.69784375
transcript.pyannote[171].end 2349.04784375
transcript.pyannote[172].speaker SPEAKER_20
transcript.pyannote[172].start 2349.57096875
transcript.pyannote[172].end 2351.64659375
transcript.pyannote[173].speaker SPEAKER_20
transcript.pyannote[173].start 2352.00096875
transcript.pyannote[173].end 2355.00471875
transcript.pyannote[174].speaker SPEAKER_20
transcript.pyannote[174].start 2355.46034375
transcript.pyannote[174].end 2358.54846875
transcript.pyannote[175].speaker SPEAKER_20
transcript.pyannote[175].start 2359.18971875
transcript.pyannote[175].end 2360.38784375
transcript.pyannote[176].speaker SPEAKER_20
transcript.pyannote[176].start 2360.75909375
transcript.pyannote[176].end 2361.58596875
transcript.pyannote[177].speaker SPEAKER_20
transcript.pyannote[177].start 2361.72096875
transcript.pyannote[177].end 2362.17659375
transcript.pyannote[178].speaker SPEAKER_20
transcript.pyannote[178].start 2362.64909375
transcript.pyannote[178].end 2363.18909375
transcript.pyannote[179].speaker SPEAKER_20
transcript.pyannote[179].start 2363.23971875
transcript.pyannote[179].end 2364.15096875
transcript.pyannote[180].speaker SPEAKER_20
transcript.pyannote[180].start 2364.60659375
transcript.pyannote[180].end 2366.00721875
transcript.pyannote[181].speaker SPEAKER_20
transcript.pyannote[181].start 2366.17596875
transcript.pyannote[181].end 2367.27284375
transcript.pyannote[182].speaker SPEAKER_20
transcript.pyannote[182].start 2367.66096875
transcript.pyannote[182].end 2368.35284375
transcript.pyannote[183].speaker SPEAKER_20
transcript.pyannote[183].start 2368.42034375
transcript.pyannote[183].end 2369.09534375
transcript.pyannote[184].speaker SPEAKER_20
transcript.pyannote[184].start 2369.53409375
transcript.pyannote[184].end 2370.56346875
transcript.pyannote[185].speaker SPEAKER_20
transcript.pyannote[185].start 2371.25534375
transcript.pyannote[185].end 2372.13284375
transcript.pyannote[186].speaker SPEAKER_20
transcript.pyannote[186].start 2372.55471875
transcript.pyannote[186].end 2374.68096875
transcript.pyannote[187].speaker SPEAKER_20
transcript.pyannote[187].start 2375.00159375
transcript.pyannote[187].end 2375.94659375
transcript.pyannote[188].speaker SPEAKER_20
transcript.pyannote[188].start 2376.38534375
transcript.pyannote[188].end 2378.47784375
transcript.pyannote[189].speaker SPEAKER_20
transcript.pyannote[189].start 2378.78159375
transcript.pyannote[189].end 2380.45221875
transcript.pyannote[190].speaker SPEAKER_20
transcript.pyannote[190].start 2380.99221875
transcript.pyannote[190].end 2382.40971875
transcript.pyannote[191].speaker SPEAKER_20
transcript.pyannote[191].start 2383.16909375
transcript.pyannote[191].end 2384.36721875
transcript.pyannote[192].speaker SPEAKER_20
transcript.pyannote[192].start 2384.83971875
transcript.pyannote[192].end 2386.91534375
transcript.pyannote[193].speaker SPEAKER_20
transcript.pyannote[193].start 2387.38784375
transcript.pyannote[193].end 2388.29909375
transcript.pyannote[194].speaker SPEAKER_20
transcript.pyannote[194].start 2388.78846875
transcript.pyannote[194].end 2390.44221875
transcript.pyannote[195].speaker SPEAKER_20
transcript.pyannote[195].start 2390.79659375
transcript.pyannote[195].end 2402.71034375
transcript.pyannote[196].speaker SPEAKER_20
transcript.pyannote[196].start 2403.04784375
transcript.pyannote[196].end 2405.98409375
transcript.pyannote[197].speaker SPEAKER_20
transcript.pyannote[197].start 2406.57471875
transcript.pyannote[197].end 2409.40971875
transcript.pyannote[198].speaker SPEAKER_20
transcript.pyannote[198].start 2409.64596875
transcript.pyannote[198].end 2412.10971875
transcript.pyannote[199].speaker SPEAKER_20
transcript.pyannote[199].start 2412.43034375
transcript.pyannote[199].end 2414.74221875
transcript.pyannote[200].speaker SPEAKER_20
transcript.pyannote[200].start 2414.99534375
transcript.pyannote[200].end 2417.29034375
transcript.pyannote[201].speaker SPEAKER_20
transcript.pyannote[201].start 2417.91471875
transcript.pyannote[201].end 2422.62284375
transcript.pyannote[202].speaker SPEAKER_20
transcript.pyannote[202].start 2423.28096875
transcript.pyannote[202].end 2424.63096875
transcript.pyannote[203].speaker SPEAKER_20
transcript.pyannote[203].start 2425.01909375
transcript.pyannote[203].end 2425.89659375
transcript.pyannote[204].speaker SPEAKER_20
transcript.pyannote[204].start 2426.21721875
transcript.pyannote[204].end 2427.53346875
transcript.pyannote[205].speaker SPEAKER_20
transcript.pyannote[205].start 2428.51221875
transcript.pyannote[205].end 2429.05221875
transcript.pyannote[206].speaker SPEAKER_20
transcript.pyannote[206].start 2429.74409375
transcript.pyannote[206].end 2430.79034375
transcript.pyannote[207].speaker SPEAKER_20
transcript.pyannote[207].start 2431.38096875
transcript.pyannote[207].end 2432.25846875
transcript.pyannote[208].speaker SPEAKER_20
transcript.pyannote[208].start 2432.78159375
transcript.pyannote[208].end 2433.87846875
transcript.pyannote[209].speaker SPEAKER_20
transcript.pyannote[209].start 2434.58721875
transcript.pyannote[209].end 2435.39721875
transcript.pyannote[210].speaker SPEAKER_20
transcript.pyannote[210].start 2436.02159375
transcript.pyannote[210].end 2437.00034375
transcript.pyannote[211].speaker SPEAKER_20
transcript.pyannote[211].start 2437.89471875
transcript.pyannote[211].end 2439.04221875
transcript.pyannote[212].speaker SPEAKER_20
transcript.pyannote[212].start 2439.29534375
transcript.pyannote[212].end 2441.25284375
transcript.pyannote[213].speaker SPEAKER_20
transcript.pyannote[213].start 2441.35409375
transcript.pyannote[213].end 2444.86409375
transcript.pyannote[214].speaker SPEAKER_20
transcript.pyannote[214].start 2445.35346875
transcript.pyannote[214].end 2447.74971875
transcript.pyannote[215].speaker SPEAKER_20
transcript.pyannote[215].start 2448.30659375
transcript.pyannote[215].end 2449.23471875
transcript.pyannote[216].speaker SPEAKER_20
transcript.pyannote[216].start 2449.48784375
transcript.pyannote[216].end 2452.64346875
transcript.pyannote[217].speaker SPEAKER_20
transcript.pyannote[217].start 2452.96409375
transcript.pyannote[217].end 2453.77409375
transcript.pyannote[218].speaker SPEAKER_20
transcript.pyannote[218].start 2454.28034375
transcript.pyannote[218].end 2455.09034375
transcript.pyannote[219].speaker SPEAKER_20
transcript.pyannote[219].start 2455.81596875
transcript.pyannote[219].end 2456.86221875
transcript.pyannote[220].speaker SPEAKER_20
transcript.pyannote[220].start 2457.36846875
transcript.pyannote[220].end 2458.90409375
transcript.pyannote[221].speaker SPEAKER_20
transcript.pyannote[221].start 2459.00534375
transcript.pyannote[221].end 2459.95034375
transcript.pyannote[222].speaker SPEAKER_20
transcript.pyannote[222].start 2460.82784375
transcript.pyannote[222].end 2462.43096875
transcript.pyannote[223].speaker SPEAKER_20
transcript.pyannote[223].start 2462.70096875
transcript.pyannote[223].end 2464.00034375
transcript.pyannote[224].speaker SPEAKER_20
transcript.pyannote[224].start 2464.60784375
transcript.pyannote[224].end 2465.90721875
transcript.pyannote[225].speaker SPEAKER_20
transcript.pyannote[225].start 2466.71721875
transcript.pyannote[225].end 2467.39221875
transcript.pyannote[226].speaker SPEAKER_20
transcript.pyannote[226].start 2467.69596875
transcript.pyannote[226].end 2468.52284375
transcript.pyannote[227].speaker SPEAKER_20
transcript.pyannote[227].start 2469.07971875
transcript.pyannote[227].end 2470.71659375
transcript.pyannote[228].speaker SPEAKER_20
transcript.pyannote[228].start 2470.80096875
transcript.pyannote[228].end 2471.74596875
transcript.pyannote[229].speaker SPEAKER_09
transcript.pyannote[229].start 2473.75409375
transcript.pyannote[229].end 2484.50346875
transcript.pyannote[230].speaker SPEAKER_18
transcript.pyannote[230].start 2495.60721875
transcript.pyannote[230].end 2498.98221875
transcript.pyannote[231].speaker SPEAKER_18
transcript.pyannote[231].start 2499.69096875
transcript.pyannote[231].end 2506.20471875
transcript.pyannote[232].speaker SPEAKER_18
transcript.pyannote[232].start 2506.82909375
transcript.pyannote[232].end 2510.84534375
transcript.pyannote[233].speaker SPEAKER_18
transcript.pyannote[233].start 2511.23346875
transcript.pyannote[233].end 2543.16096875
transcript.pyannote[234].speaker SPEAKER_18
transcript.pyannote[234].start 2543.49846875
transcript.pyannote[234].end 2639.68596875
transcript.pyannote[235].speaker SPEAKER_18
transcript.pyannote[235].start 2639.93909375
transcript.pyannote[235].end 2654.92409375
transcript.pyannote[236].speaker SPEAKER_18
transcript.pyannote[236].start 2656.05471875
transcript.pyannote[236].end 2658.70409375
transcript.pyannote[237].speaker SPEAKER_18
transcript.pyannote[237].start 2658.88971875
transcript.pyannote[237].end 2679.32534375
transcript.pyannote[238].speaker SPEAKER_09
transcript.pyannote[238].start 2679.32534375
transcript.pyannote[238].end 2679.34221875
transcript.pyannote[239].speaker SPEAKER_09
transcript.pyannote[239].start 2681.35034375
transcript.pyannote[239].end 2683.88159375
transcript.pyannote[240].speaker SPEAKER_09
transcript.pyannote[240].start 2684.40471875
transcript.pyannote[240].end 2688.85971875
transcript.pyannote[241].speaker SPEAKER_05
transcript.pyannote[241].start 2705.71784375
transcript.pyannote[241].end 2706.42659375
transcript.pyannote[242].speaker SPEAKER_05
transcript.pyannote[242].start 2707.01721875
transcript.pyannote[242].end 2709.44721875
transcript.pyannote[243].speaker SPEAKER_05
transcript.pyannote[243].start 2709.70034375
transcript.pyannote[243].end 2711.60721875
transcript.pyannote[244].speaker SPEAKER_05
transcript.pyannote[244].start 2711.80971875
transcript.pyannote[244].end 2713.51409375
transcript.pyannote[245].speaker SPEAKER_05
transcript.pyannote[245].start 2714.35784375
transcript.pyannote[245].end 2715.08346875
transcript.pyannote[246].speaker SPEAKER_05
transcript.pyannote[246].start 2715.62346875
transcript.pyannote[246].end 2728.48221875
transcript.pyannote[247].speaker SPEAKER_05
transcript.pyannote[247].start 2729.00534375
transcript.pyannote[247].end 2732.56596875
transcript.pyannote[248].speaker SPEAKER_05
transcript.pyannote[248].start 2733.08909375
transcript.pyannote[248].end 2741.77971875
transcript.pyannote[249].speaker SPEAKER_05
transcript.pyannote[249].start 2742.21846875
transcript.pyannote[249].end 2743.73721875
transcript.pyannote[250].speaker SPEAKER_05
transcript.pyannote[250].start 2743.93971875
transcript.pyannote[250].end 2749.20471875
transcript.pyannote[251].speaker SPEAKER_05
transcript.pyannote[251].start 2749.77846875
transcript.pyannote[251].end 2753.82846875
transcript.pyannote[252].speaker SPEAKER_05
transcript.pyannote[252].start 2754.13221875
transcript.pyannote[252].end 2756.27534375
transcript.pyannote[253].speaker SPEAKER_05
transcript.pyannote[253].start 2756.78159375
transcript.pyannote[253].end 2761.38846875
transcript.pyannote[254].speaker SPEAKER_05
transcript.pyannote[254].start 2761.82721875
transcript.pyannote[254].end 2762.48534375
transcript.pyannote[255].speaker SPEAKER_05
transcript.pyannote[255].start 2762.99159375
transcript.pyannote[255].end 2763.56534375
transcript.pyannote[256].speaker SPEAKER_05
transcript.pyannote[256].start 2764.02096875
transcript.pyannote[256].end 2769.45471875
transcript.pyannote[257].speaker SPEAKER_05
transcript.pyannote[257].start 2769.94409375
transcript.pyannote[257].end 2775.25971875
transcript.pyannote[258].speaker SPEAKER_05
transcript.pyannote[258].start 2775.76596875
transcript.pyannote[258].end 2777.74034375
transcript.pyannote[259].speaker SPEAKER_05
transcript.pyannote[259].start 2778.02721875
transcript.pyannote[259].end 2779.32659375
transcript.pyannote[260].speaker SPEAKER_05
transcript.pyannote[260].start 2779.95096875
transcript.pyannote[260].end 2780.87909375
transcript.pyannote[261].speaker SPEAKER_05
transcript.pyannote[261].start 2781.33471875
transcript.pyannote[261].end 2783.71409375
transcript.pyannote[262].speaker SPEAKER_05
transcript.pyannote[262].start 2784.60846875
transcript.pyannote[262].end 2801.43284375
transcript.pyannote[263].speaker SPEAKER_05
transcript.pyannote[263].start 2802.49596875
transcript.pyannote[263].end 2803.13721875
transcript.pyannote[264].speaker SPEAKER_05
transcript.pyannote[264].start 2803.84596875
transcript.pyannote[264].end 2805.58409375
transcript.pyannote[265].speaker SPEAKER_05
transcript.pyannote[265].start 2805.76971875
transcript.pyannote[265].end 2807.00159375
transcript.pyannote[266].speaker SPEAKER_05
transcript.pyannote[266].start 2807.40659375
transcript.pyannote[266].end 2810.52846875
transcript.pyannote[267].speaker SPEAKER_05
transcript.pyannote[267].start 2810.74784375
transcript.pyannote[267].end 2813.49846875
transcript.pyannote[268].speaker SPEAKER_05
transcript.pyannote[268].start 2813.86971875
transcript.pyannote[268].end 2819.84346875
transcript.pyannote[269].speaker SPEAKER_05
transcript.pyannote[269].start 2820.46784375
transcript.pyannote[269].end 2821.24409375
transcript.pyannote[270].speaker SPEAKER_05
transcript.pyannote[270].start 2821.44659375
transcript.pyannote[270].end 2824.55159375
transcript.pyannote[271].speaker SPEAKER_05
transcript.pyannote[271].start 2825.04096875
transcript.pyannote[271].end 2826.69471875
transcript.pyannote[272].speaker SPEAKER_05
transcript.pyannote[272].start 2827.31909375
transcript.pyannote[272].end 2840.53221875
transcript.pyannote[273].speaker SPEAKER_05
transcript.pyannote[273].start 2840.97096875
transcript.pyannote[273].end 2853.03659375
transcript.pyannote[274].speaker SPEAKER_05
transcript.pyannote[274].start 2853.34034375
transcript.pyannote[274].end 2865.64221875
transcript.pyannote[275].speaker SPEAKER_05
transcript.pyannote[275].start 2866.06409375
transcript.pyannote[275].end 2868.94971875
transcript.pyannote[276].speaker SPEAKER_05
transcript.pyannote[276].start 2869.33784375
transcript.pyannote[276].end 2885.99346875
transcript.pyannote[277].speaker SPEAKER_05
transcript.pyannote[277].start 2886.22971875
transcript.pyannote[277].end 2889.62159375
transcript.pyannote[278].speaker SPEAKER_05
transcript.pyannote[278].start 2889.65534375
transcript.pyannote[278].end 2890.26284375
transcript.pyannote[279].speaker SPEAKER_11
transcript.pyannote[279].start 2893.97534375
transcript.pyannote[279].end 2894.11034375
transcript.pyannote[280].speaker SPEAKER_09
transcript.pyannote[280].start 2896.50659375
transcript.pyannote[280].end 2912.58846875
transcript.pyannote[281].speaker SPEAKER_09
transcript.pyannote[281].start 5242.38471875
transcript.pyannote[281].end 5244.62909375
transcript.pyannote[282].speaker SPEAKER_17
transcript.pyannote[282].start 5245.45596875
transcript.pyannote[282].end 5245.48971875
transcript.pyannote[283].speaker SPEAKER_09
transcript.pyannote[283].start 5245.48971875
transcript.pyannote[283].end 5249.03346875
transcript.pyannote[284].speaker SPEAKER_09
transcript.pyannote[284].start 5249.48909375
transcript.pyannote[284].end 5255.15909375
transcript.pyannote[285].speaker SPEAKER_16
transcript.pyannote[285].start 5256.17159375
transcript.pyannote[285].end 5261.21721875
transcript.pyannote[286].speaker SPEAKER_16
transcript.pyannote[286].start 5261.72346875
transcript.pyannote[286].end 5270.41409375
transcript.pyannote[287].speaker SPEAKER_16
transcript.pyannote[287].start 5270.70096875
transcript.pyannote[287].end 5274.24471875
transcript.pyannote[288].speaker SPEAKER_16
transcript.pyannote[288].start 5274.48096875
transcript.pyannote[288].end 5279.79659375
transcript.pyannote[289].speaker SPEAKER_16
transcript.pyannote[289].start 5280.30284375
transcript.pyannote[289].end 5282.36159375
transcript.pyannote[290].speaker SPEAKER_16
transcript.pyannote[290].start 5282.56409375
transcript.pyannote[290].end 5286.27659375
transcript.pyannote[291].speaker SPEAKER_16
transcript.pyannote[291].start 5286.56346875
transcript.pyannote[291].end 5291.35596875
transcript.pyannote[292].speaker SPEAKER_16
transcript.pyannote[292].start 5291.45721875
transcript.pyannote[292].end 5292.63846875
transcript.pyannote[293].speaker SPEAKER_16
transcript.pyannote[293].start 5292.94221875
transcript.pyannote[293].end 5294.98409375
transcript.pyannote[294].speaker SPEAKER_16
transcript.pyannote[294].start 5295.20346875
transcript.pyannote[294].end 5296.72221875
transcript.pyannote[295].speaker SPEAKER_16
transcript.pyannote[295].start 5297.00909375
transcript.pyannote[295].end 5303.03346875
transcript.pyannote[296].speaker SPEAKER_16
transcript.pyannote[296].start 5303.30346875
transcript.pyannote[296].end 5303.97846875
transcript.pyannote[297].speaker SPEAKER_16
transcript.pyannote[297].start 5304.33284375
transcript.pyannote[297].end 5307.87659375
transcript.pyannote[298].speaker SPEAKER_16
transcript.pyannote[298].start 5308.12971875
transcript.pyannote[298].end 5310.86346875
transcript.pyannote[299].speaker SPEAKER_16
transcript.pyannote[299].start 5311.21784375
transcript.pyannote[299].end 5313.42846875
transcript.pyannote[300].speaker SPEAKER_16
transcript.pyannote[300].start 5314.32284375
transcript.pyannote[300].end 5317.47846875
transcript.pyannote[301].speaker SPEAKER_16
transcript.pyannote[301].start 5317.73159375
transcript.pyannote[301].end 5319.67221875
transcript.pyannote[302].speaker SPEAKER_16
transcript.pyannote[302].start 5319.92534375
transcript.pyannote[302].end 5321.05596875
transcript.pyannote[303].speaker SPEAKER_16
transcript.pyannote[303].start 5321.32596875
transcript.pyannote[303].end 5325.07221875
transcript.pyannote[304].speaker SPEAKER_16
transcript.pyannote[304].start 5325.35909375
transcript.pyannote[304].end 5329.74659375
transcript.pyannote[305].speaker SPEAKER_16
transcript.pyannote[305].start 5330.10096875
transcript.pyannote[305].end 5331.63659375
transcript.pyannote[306].speaker SPEAKER_16
transcript.pyannote[306].start 5331.95721875
transcript.pyannote[306].end 5332.81784375
transcript.pyannote[307].speaker SPEAKER_16
transcript.pyannote[307].start 5332.95284375
transcript.pyannote[307].end 5336.20971875
transcript.pyannote[308].speaker SPEAKER_16
transcript.pyannote[308].start 5336.47971875
transcript.pyannote[308].end 5336.80034375
transcript.pyannote[309].speaker SPEAKER_16
transcript.pyannote[309].start 5337.18846875
transcript.pyannote[309].end 5343.56721875
transcript.pyannote[310].speaker SPEAKER_16
transcript.pyannote[310].start 5343.83721875
transcript.pyannote[310].end 5346.04784375
transcript.pyannote[311].speaker SPEAKER_16
transcript.pyannote[311].start 5346.28409375
transcript.pyannote[311].end 5348.37659375
transcript.pyannote[312].speaker SPEAKER_16
transcript.pyannote[312].start 5348.66346875
transcript.pyannote[312].end 5352.86534375
transcript.pyannote[313].speaker SPEAKER_16
transcript.pyannote[313].start 5353.21971875
transcript.pyannote[313].end 5356.20659375
transcript.pyannote[314].speaker SPEAKER_09
transcript.pyannote[314].start 5356.56096875
transcript.pyannote[314].end 5359.56471875
transcript.pyannote[315].speaker SPEAKER_09
transcript.pyannote[315].start 5360.20596875
transcript.pyannote[315].end 5361.87659375
transcript.pyannote[316].speaker SPEAKER_09
transcript.pyannote[316].start 5365.85909375
transcript.pyannote[316].end 5370.88784375
transcript.pyannote[317].speaker SPEAKER_09
transcript.pyannote[317].start 5371.56284375
transcript.pyannote[317].end 5371.93409375
transcript.pyannote[318].speaker SPEAKER_09
transcript.pyannote[318].start 5373.30096875
transcript.pyannote[318].end 5376.59159375
transcript.pyannote[319].speaker SPEAKER_09
transcript.pyannote[319].start 5377.18221875
transcript.pyannote[319].end 5378.41409375
transcript.pyannote[320].speaker SPEAKER_09
transcript.pyannote[320].start 5379.10596875
transcript.pyannote[320].end 5381.68784375
transcript.pyannote[321].speaker SPEAKER_09
transcript.pyannote[321].start 5382.09284375
transcript.pyannote[321].end 5384.96159375
transcript.pyannote[322].speaker SPEAKER_09
transcript.pyannote[322].start 5385.29909375
transcript.pyannote[322].end 5395.59284375
transcript.pyannote[323].speaker SPEAKER_09
transcript.pyannote[323].start 5396.36909375
transcript.pyannote[323].end 5399.05221875
transcript.pyannote[324].speaker SPEAKER_09
transcript.pyannote[324].start 5399.35596875
transcript.pyannote[324].end 5401.07721875
transcript.pyannote[325].speaker SPEAKER_09
transcript.pyannote[325].start 5401.41471875
transcript.pyannote[325].end 5403.59159375
transcript.pyannote[326].speaker SPEAKER_09
transcript.pyannote[326].start 5404.04721875
transcript.pyannote[326].end 5406.69659375
transcript.pyannote[327].speaker SPEAKER_09
transcript.pyannote[327].start 5407.35471875
transcript.pyannote[327].end 5412.56909375
transcript.pyannote[328].speaker SPEAKER_09
transcript.pyannote[328].start 5413.88534375
transcript.pyannote[328].end 5415.79221875
transcript.pyannote[329].speaker SPEAKER_09
transcript.pyannote[329].start 5416.85534375
transcript.pyannote[329].end 5419.85909375
transcript.pyannote[330].speaker SPEAKER_09
transcript.pyannote[330].start 5423.58846875
transcript.pyannote[330].end 5427.09846875
transcript.pyannote[331].speaker SPEAKER_09
transcript.pyannote[331].start 5429.41034375
transcript.pyannote[331].end 5434.70909375
transcript.pyannote[332].speaker SPEAKER_09
transcript.pyannote[332].start 5435.40096875
transcript.pyannote[332].end 5449.49159375
transcript.pyannote[333].speaker SPEAKER_09
transcript.pyannote[333].start 5449.79534375
transcript.pyannote[333].end 5466.40034375
transcript.pyannote[334].speaker SPEAKER_09
transcript.pyannote[334].start 5466.99096875
transcript.pyannote[334].end 5471.51346875
transcript.pyannote[335].speaker SPEAKER_09
transcript.pyannote[335].start 5472.01971875
transcript.pyannote[335].end 5483.39346875
transcript.pyannote[336].speaker SPEAKER_09
transcript.pyannote[336].start 5484.06846875
transcript.pyannote[336].end 5493.01221875
transcript.pyannote[337].speaker SPEAKER_09
transcript.pyannote[337].start 5493.43409375
transcript.pyannote[337].end 5503.39034375
transcript.pyannote[338].speaker SPEAKER_09
transcript.pyannote[338].start 5503.76159375
transcript.pyannote[338].end 5520.85596875
transcript.pyannote[339].speaker SPEAKER_09
transcript.pyannote[339].start 8338.25534375
transcript.pyannote[339].end 8342.57534375
transcript.pyannote[340].speaker SPEAKER_16
transcript.pyannote[340].start 8343.58784375
transcript.pyannote[340].end 8352.90284375
transcript.pyannote[341].speaker SPEAKER_16
transcript.pyannote[341].start 8353.05471875
transcript.pyannote[341].end 8358.06659375
transcript.pyannote[342].speaker SPEAKER_16
transcript.pyannote[342].start 8358.31971875
transcript.pyannote[342].end 8362.40346875
transcript.pyannote[343].speaker SPEAKER_16
transcript.pyannote[343].start 8362.50471875
transcript.pyannote[343].end 8367.38159375
transcript.pyannote[344].speaker SPEAKER_16
transcript.pyannote[344].start 8367.66846875
transcript.pyannote[344].end 8371.34721875
transcript.pyannote[345].speaker SPEAKER_16
transcript.pyannote[345].start 8371.68471875
transcript.pyannote[345].end 8372.84909375
transcript.pyannote[346].speaker SPEAKER_16
transcript.pyannote[346].start 8372.86596875
transcript.pyannote[346].end 8378.13096875
transcript.pyannote[347].speaker SPEAKER_16
transcript.pyannote[347].start 8378.43471875
transcript.pyannote[347].end 8378.78909375
transcript.pyannote[348].speaker SPEAKER_16
transcript.pyannote[348].start 8379.24471875
transcript.pyannote[348].end 8380.74659375
transcript.pyannote[349].speaker SPEAKER_16
transcript.pyannote[349].start 8380.93221875
transcript.pyannote[349].end 8386.36596875
transcript.pyannote[350].speaker SPEAKER_16
transcript.pyannote[350].start 8386.66971875
transcript.pyannote[350].end 8390.26409375
transcript.pyannote[351].speaker SPEAKER_16
transcript.pyannote[351].start 8390.50034375
transcript.pyannote[351].end 8393.63909375
transcript.pyannote[352].speaker SPEAKER_16
transcript.pyannote[352].start 8393.90909375
transcript.pyannote[352].end 8396.82846875
transcript.pyannote[353].speaker SPEAKER_16
transcript.pyannote[353].start 8397.14909375
transcript.pyannote[353].end 8402.19471875
transcript.pyannote[354].speaker SPEAKER_16
transcript.pyannote[354].start 8402.53221875
transcript.pyannote[354].end 8403.79784375
transcript.pyannote[355].speaker SPEAKER_16
transcript.pyannote[355].start 8404.42221875
transcript.pyannote[355].end 8407.86471875
transcript.pyannote[356].speaker SPEAKER_16
transcript.pyannote[356].start 8408.15159375
transcript.pyannote[356].end 8410.39596875
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 8410.69971875
transcript.pyannote[357].end 8415.72846875
transcript.pyannote[358].speaker SPEAKER_16
transcript.pyannote[358].start 8415.98159375
transcript.pyannote[358].end 8418.39471875
transcript.pyannote[359].speaker SPEAKER_16
transcript.pyannote[359].start 8418.73221875
transcript.pyannote[359].end 8423.11971875
transcript.pyannote[360].speaker SPEAKER_16
transcript.pyannote[360].start 8423.38971875
transcript.pyannote[360].end 8424.31784375
transcript.pyannote[361].speaker SPEAKER_16
transcript.pyannote[361].start 8425.16159375
transcript.pyannote[361].end 8426.95034375
transcript.pyannote[362].speaker SPEAKER_16
transcript.pyannote[362].start 8427.28784375
transcript.pyannote[362].end 8428.50284375
transcript.pyannote[363].speaker SPEAKER_16
transcript.pyannote[363].start 8428.84034375
transcript.pyannote[363].end 8430.86534375
transcript.pyannote[364].speaker SPEAKER_09
transcript.pyannote[364].start 8431.18596875
transcript.pyannote[364].end 8433.78471875
transcript.pyannote[365].speaker SPEAKER_09
transcript.pyannote[365].start 8434.05471875
transcript.pyannote[365].end 8466.82596875
transcript.pyannote[366].speaker SPEAKER_09
transcript.pyannote[366].start 8467.29846875
transcript.pyannote[366].end 8477.62596875
transcript.pyannote[367].speaker SPEAKER_09
transcript.pyannote[367].start 8478.85784375
transcript.pyannote[367].end 8481.25409375
transcript.pyannote[368].speaker SPEAKER_09
transcript.pyannote[368].start 8482.01346875
transcript.pyannote[368].end 8507.93346875
transcript.pyannote[369].speaker SPEAKER_09
transcript.pyannote[369].start 8508.60846875
transcript.pyannote[369].end 8536.33409375
transcript.pyannote[370].speaker SPEAKER_09
transcript.pyannote[370].start 8537.83596875
transcript.pyannote[370].end 8576.96909375
transcript.pyannote[371].speaker SPEAKER_09
transcript.pyannote[371].start 8577.28971875
transcript.pyannote[371].end 8601.77534375
transcript.pyannote[372].speaker SPEAKER_09
transcript.pyannote[372].start 8602.29846875
transcript.pyannote[372].end 8607.41159375
transcript.pyannote[373].speaker SPEAKER_00
transcript.pyannote[373].start 8608.39034375
transcript.pyannote[373].end 8619.08909375
transcript.pyannote[374].speaker SPEAKER_00
transcript.pyannote[374].start 8619.42659375
transcript.pyannote[374].end 8627.52659375
transcript.pyannote[375].speaker SPEAKER_00
transcript.pyannote[375].start 8627.54346875
transcript.pyannote[375].end 8635.01909375
transcript.pyannote[376].speaker SPEAKER_00
transcript.pyannote[376].start 8635.49159375
transcript.pyannote[376].end 8645.36346875
transcript.pyannote[377].speaker SPEAKER_00
transcript.pyannote[377].start 8645.49846875
transcript.pyannote[377].end 8652.31596875
transcript.pyannote[378].speaker SPEAKER_09
transcript.pyannote[378].start 8652.87284375
transcript.pyannote[378].end 8657.12534375
transcript.pyannote[379].speaker SPEAKER_09
transcript.pyannote[379].start 8657.73284375
transcript.pyannote[379].end 8658.34034375
transcript.pyannote[380].speaker SPEAKER_09
transcript.pyannote[380].start 9091.13346875
transcript.pyannote[380].end 9091.50471875
transcript.pyannote[381].speaker SPEAKER_09
transcript.pyannote[381].start 9092.50034375
transcript.pyannote[381].end 9097.22534375
transcript.pyannote[382].speaker SPEAKER_09
transcript.pyannote[382].start 9097.76534375
transcript.pyannote[382].end 9101.03909375
transcript.pyannote[383].speaker SPEAKER_09
transcript.pyannote[383].start 9101.79846875
transcript.pyannote[383].end 9115.82159375
transcript.pyannote[384].speaker SPEAKER_09
transcript.pyannote[384].start 9185.43096875
transcript.pyannote[384].end 9188.48534375
transcript.pyannote[385].speaker SPEAKER_09
transcript.pyannote[385].start 9189.26159375
transcript.pyannote[385].end 9190.61159375
transcript.pyannote[386].speaker SPEAKER_09
transcript.pyannote[386].start 9191.55659375
transcript.pyannote[386].end 9193.44659375
transcript.pyannote[387].speaker SPEAKER_09
transcript.pyannote[387].start 9194.13846875
transcript.pyannote[387].end 9197.29409375
transcript.pyannote[388].speaker SPEAKER_09
transcript.pyannote[388].start 9198.25596875
transcript.pyannote[388].end 9202.05284375
transcript.pyannote[389].speaker SPEAKER_09
transcript.pyannote[389].start 9202.37346875
transcript.pyannote[389].end 9206.94659375
transcript.pyannote[390].speaker SPEAKER_09
transcript.pyannote[390].start 9207.92534375
transcript.pyannote[390].end 9208.88721875
transcript.pyannote[391].speaker SPEAKER_09
transcript.pyannote[391].start 9209.62971875
transcript.pyannote[391].end 9213.15659375
transcript.pyannote[392].speaker SPEAKER_09
transcript.pyannote[392].start 9214.65846875
transcript.pyannote[392].end 9215.70471875
transcript.pyannote[393].speaker SPEAKER_09
transcript.pyannote[393].start 9216.73409375
transcript.pyannote[393].end 9230.20034375
transcript.pyannote[394].speaker SPEAKER_09
transcript.pyannote[394].start 9301.39596875
transcript.pyannote[394].end 9313.96784375
transcript.pyannote[395].speaker SPEAKER_09
transcript.pyannote[395].start 9314.49096875
transcript.pyannote[395].end 9323.23221875
transcript.pyannote[396].speaker SPEAKER_09
transcript.pyannote[396].start 9323.38409375
transcript.pyannote[396].end 9324.58221875
transcript.pyannote[397].speaker SPEAKER_09
transcript.pyannote[397].start 9325.07159375
transcript.pyannote[397].end 9328.39596875
transcript.pyannote[398].speaker SPEAKER_09
transcript.pyannote[398].start 9328.80096875
transcript.pyannote[398].end 9332.95221875
transcript.pyannote[399].speaker SPEAKER_09
transcript.pyannote[399].start 9333.13784375
transcript.pyannote[399].end 9339.87096875
transcript.pyannote[400].speaker SPEAKER_09
transcript.pyannote[400].start 9340.00596875
transcript.pyannote[400].end 9340.02284375
transcript.pyannote[401].speaker SPEAKER_09
transcript.pyannote[401].start 9340.09034375
transcript.pyannote[401].end 9341.89596875
transcript.pyannote[402].speaker SPEAKER_09
transcript.pyannote[402].start 9343.11096875
transcript.pyannote[402].end 9347.27909375
transcript.pyannote[403].speaker SPEAKER_17
transcript.pyannote[403].start 9347.27909375
transcript.pyannote[403].end 9347.31284375
transcript.pyannote[404].speaker SPEAKER_09
transcript.pyannote[404].start 9348.30846875
transcript.pyannote[404].end 9349.03409375
transcript.pyannote[405].speaker SPEAKER_17
transcript.pyannote[405].start 9349.03409375
transcript.pyannote[405].end 9359.12534375
transcript.pyannote[406].speaker SPEAKER_17
transcript.pyannote[406].start 9359.47971875
transcript.pyannote[406].end 9384.70784375
transcript.pyannote[407].speaker SPEAKER_17
transcript.pyannote[407].start 9385.01159375
transcript.pyannote[407].end 9388.21784375
transcript.pyannote[408].speaker SPEAKER_17
transcript.pyannote[408].start 9388.35284375
transcript.pyannote[408].end 9390.51284375
transcript.pyannote[409].speaker SPEAKER_17
transcript.pyannote[409].start 9390.59721875
transcript.pyannote[409].end 9391.67721875
transcript.pyannote[410].speaker SPEAKER_17
transcript.pyannote[410].start 9392.72346875
transcript.pyannote[410].end 9403.23659375
transcript.pyannote[411].speaker SPEAKER_17
transcript.pyannote[411].start 9404.11409375
transcript.pyannote[411].end 9418.62659375
transcript.pyannote[412].speaker SPEAKER_17
transcript.pyannote[412].start 9418.89659375
transcript.pyannote[412].end 9426.27096875
transcript.pyannote[413].speaker SPEAKER_09
transcript.pyannote[413].start 9426.27096875
transcript.pyannote[413].end 9436.88534375
transcript.pyannote[414].speaker SPEAKER_00
transcript.pyannote[414].start 9437.72909375
transcript.pyannote[414].end 9443.73659375
transcript.pyannote[415].speaker SPEAKER_09
transcript.pyannote[415].start 9444.68159375
transcript.pyannote[415].end 9446.65596875
transcript.pyannote[416].speaker SPEAKER_00
transcript.pyannote[416].start 9446.87534375
transcript.pyannote[416].end 9451.93784375
transcript.pyannote[417].speaker SPEAKER_09
transcript.pyannote[417].start 9452.91659375
transcript.pyannote[417].end 9453.10221875
transcript.pyannote[418].speaker SPEAKER_09
transcript.pyannote[418].start 9453.43971875
transcript.pyannote[418].end 9454.23284375
transcript.pyannote[419].speaker SPEAKER_10
transcript.pyannote[419].start 9454.23284375
transcript.pyannote[419].end 9454.26659375
transcript.pyannote[420].speaker SPEAKER_09
transcript.pyannote[420].start 9454.26659375
transcript.pyannote[420].end 9454.28346875
transcript.pyannote[421].speaker SPEAKER_10
transcript.pyannote[421].start 9454.28346875
transcript.pyannote[421].end 9454.30034375
transcript.pyannote[422].speaker SPEAKER_00
transcript.pyannote[422].start 9454.97534375
transcript.pyannote[422].end 9462.24846875
transcript.pyannote[423].speaker SPEAKER_10
transcript.pyannote[423].start 9461.82659375
transcript.pyannote[423].end 9462.60284375
transcript.pyannote[424].speaker SPEAKER_00
transcript.pyannote[424].start 9463.02471875
transcript.pyannote[424].end 9471.14159375
transcript.pyannote[425].speaker SPEAKER_10
transcript.pyannote[425].start 9470.60159375
transcript.pyannote[425].end 9471.32721875
transcript.pyannote[426].speaker SPEAKER_10
transcript.pyannote[426].start 9471.93471875
transcript.pyannote[426].end 9472.00221875
transcript.pyannote[427].speaker SPEAKER_00
transcript.pyannote[427].start 9472.00221875
transcript.pyannote[427].end 9478.49909375
transcript.pyannote[428].speaker SPEAKER_10
transcript.pyannote[428].start 9472.05284375
transcript.pyannote[428].end 9472.30596875
transcript.pyannote[429].speaker SPEAKER_10
transcript.pyannote[429].start 9478.02659375
transcript.pyannote[429].end 9478.87034375
transcript.pyannote[430].speaker SPEAKER_00
transcript.pyannote[430].start 9479.57909375
transcript.pyannote[430].end 9485.43471875
transcript.pyannote[431].speaker SPEAKER_10
transcript.pyannote[431].start 9484.74284375
transcript.pyannote[431].end 9485.56971875
transcript.pyannote[432].speaker SPEAKER_00
transcript.pyannote[432].start 9485.83971875
transcript.pyannote[432].end 9491.49284375
transcript.pyannote[433].speaker SPEAKER_10
transcript.pyannote[433].start 9491.18909375
transcript.pyannote[433].end 9491.94846875
transcript.pyannote[434].speaker SPEAKER_00
transcript.pyannote[434].start 9492.20159375
transcript.pyannote[434].end 9494.05784375
transcript.pyannote[435].speaker SPEAKER_00
transcript.pyannote[435].start 9494.37846875
transcript.pyannote[435].end 9507.01784375
transcript.pyannote[436].speaker SPEAKER_00
transcript.pyannote[436].start 9507.38909375
transcript.pyannote[436].end 9514.00409375
transcript.pyannote[437].speaker SPEAKER_10
transcript.pyannote[437].start 9513.43034375
transcript.pyannote[437].end 9514.32471875
transcript.pyannote[438].speaker SPEAKER_00
transcript.pyannote[438].start 9514.67909375
transcript.pyannote[438].end 9520.36596875
transcript.pyannote[439].speaker SPEAKER_10
transcript.pyannote[439].start 9519.74159375
transcript.pyannote[439].end 9520.56846875
transcript.pyannote[440].speaker SPEAKER_00
transcript.pyannote[440].start 9520.75409375
transcript.pyannote[440].end 9529.09034375
transcript.pyannote[441].speaker SPEAKER_10
transcript.pyannote[441].start 9528.01034375
transcript.pyannote[441].end 9528.92159375
transcript.pyannote[442].speaker SPEAKER_00
transcript.pyannote[442].start 9529.44471875
transcript.pyannote[442].end 9546.40409375
transcript.pyannote[443].speaker SPEAKER_10
transcript.pyannote[443].start 9536.21159375
transcript.pyannote[443].end 9536.58284375
transcript.pyannote[444].speaker SPEAKER_10
transcript.pyannote[444].start 9543.68721875
transcript.pyannote[444].end 9544.69971875
transcript.pyannote[445].speaker SPEAKER_10
transcript.pyannote[445].start 9546.40409375
transcript.pyannote[445].end 9546.67409375
transcript.pyannote[446].speaker SPEAKER_00
transcript.pyannote[446].start 9546.67409375
transcript.pyannote[446].end 9553.44096875
transcript.pyannote[447].speaker SPEAKER_10
transcript.pyannote[447].start 9546.75846875
transcript.pyannote[447].end 9547.34909375
transcript.pyannote[448].speaker SPEAKER_10
transcript.pyannote[448].start 9552.85034375
transcript.pyannote[448].end 9553.71096875
transcript.pyannote[449].speaker SPEAKER_00
transcript.pyannote[449].start 9553.94721875
transcript.pyannote[449].end 9562.08096875
transcript.pyannote[450].speaker SPEAKER_10
transcript.pyannote[450].start 9561.43971875
transcript.pyannote[450].end 9562.33409375
transcript.pyannote[451].speaker SPEAKER_00
transcript.pyannote[451].start 9562.45221875
transcript.pyannote[451].end 9568.64534375
transcript.pyannote[452].speaker SPEAKER_00
transcript.pyannote[452].start 9568.98284375
transcript.pyannote[452].end 9575.61471875
transcript.pyannote[453].speaker SPEAKER_10
transcript.pyannote[453].start 9574.88909375
transcript.pyannote[453].end 9575.68221875
transcript.pyannote[454].speaker SPEAKER_00
transcript.pyannote[454].start 9575.96909375
transcript.pyannote[454].end 9582.51659375
transcript.pyannote[455].speaker SPEAKER_10
transcript.pyannote[455].start 9581.09909375
transcript.pyannote[455].end 9581.97659375
transcript.pyannote[456].speaker SPEAKER_00
transcript.pyannote[456].start 9583.19159375
transcript.pyannote[456].end 9593.95784375
transcript.pyannote[457].speaker SPEAKER_00
transcript.pyannote[457].start 9594.59909375
transcript.pyannote[457].end 9603.01971875
transcript.pyannote[458].speaker SPEAKER_00
transcript.pyannote[458].start 9603.32346875
transcript.pyannote[458].end 9610.90034375
transcript.pyannote[459].speaker SPEAKER_10
transcript.pyannote[459].start 9610.49534375
transcript.pyannote[459].end 9611.17034375
transcript.pyannote[460].speaker SPEAKER_00
transcript.pyannote[460].start 9611.45721875
transcript.pyannote[460].end 9618.10596875
transcript.pyannote[461].speaker SPEAKER_00
transcript.pyannote[461].start 9618.32534375
transcript.pyannote[461].end 9623.65784375
transcript.pyannote[462].speaker SPEAKER_10
transcript.pyannote[462].start 9623.13471875
transcript.pyannote[462].end 9623.99534375
transcript.pyannote[463].speaker SPEAKER_00
transcript.pyannote[463].start 9624.23159375
transcript.pyannote[463].end 9630.55971875
transcript.pyannote[464].speaker SPEAKER_00
transcript.pyannote[464].start 9630.71159375
transcript.pyannote[464].end 9636.39846875
transcript.pyannote[465].speaker SPEAKER_10
transcript.pyannote[465].start 9635.97659375
transcript.pyannote[465].end 9636.93846875
transcript.pyannote[466].speaker SPEAKER_00
transcript.pyannote[466].start 9636.92159375
transcript.pyannote[466].end 9642.38909375
transcript.pyannote[467].speaker SPEAKER_10
transcript.pyannote[467].start 9641.93346875
transcript.pyannote[467].end 9642.96284375
transcript.pyannote[468].speaker SPEAKER_00
transcript.pyannote[468].start 9642.96284375
transcript.pyannote[468].end 9648.80159375
transcript.pyannote[469].speaker SPEAKER_10
transcript.pyannote[469].start 9648.21096875
transcript.pyannote[469].end 9649.20659375
transcript.pyannote[470].speaker SPEAKER_00
transcript.pyannote[470].start 9649.29096875
transcript.pyannote[470].end 9673.25346875
transcript.pyannote[471].speaker SPEAKER_10
transcript.pyannote[471].start 9655.73721875
transcript.pyannote[471].end 9656.14221875
transcript.pyannote[472].speaker SPEAKER_10
transcript.pyannote[472].start 9663.12846875
transcript.pyannote[472].end 9663.28034375
transcript.pyannote[473].speaker SPEAKER_10
transcript.pyannote[473].start 9672.84846875
transcript.pyannote[473].end 9673.74284375
transcript.pyannote[474].speaker SPEAKER_00
transcript.pyannote[474].start 9673.87784375
transcript.pyannote[474].end 9680.23971875
transcript.pyannote[475].speaker SPEAKER_00
transcript.pyannote[475].start 9681.30284375
transcript.pyannote[475].end 9682.19721875
transcript.pyannote[476].speaker SPEAKER_00
transcript.pyannote[476].start 9682.58534375
transcript.pyannote[476].end 9689.33534375
transcript.pyannote[477].speaker SPEAKER_10
transcript.pyannote[477].start 9688.94721875
transcript.pyannote[477].end 9689.94284375
transcript.pyannote[478].speaker SPEAKER_00
transcript.pyannote[478].start 9689.95971875
transcript.pyannote[478].end 9696.49034375
transcript.pyannote[479].speaker SPEAKER_10
transcript.pyannote[479].start 9696.16971875
transcript.pyannote[479].end 9697.01346875
transcript.pyannote[480].speaker SPEAKER_00
transcript.pyannote[480].start 9697.19909375
transcript.pyannote[480].end 9700.69221875
transcript.pyannote[481].speaker SPEAKER_00
transcript.pyannote[481].start 9700.92846875
transcript.pyannote[481].end 9705.72096875
transcript.pyannote[482].speaker SPEAKER_10
transcript.pyannote[482].start 9704.80971875
transcript.pyannote[482].end 9705.46784375
transcript.pyannote[483].speaker SPEAKER_00
transcript.pyannote[483].start 9705.88971875
transcript.pyannote[483].end 9711.40784375
transcript.pyannote[484].speaker SPEAKER_10
transcript.pyannote[484].start 9710.83409375
transcript.pyannote[484].end 9711.76221875
transcript.pyannote[485].speaker SPEAKER_00
transcript.pyannote[485].start 9711.76221875
transcript.pyannote[485].end 9718.09034375
transcript.pyannote[486].speaker SPEAKER_10
transcript.pyannote[486].start 9717.36471875
transcript.pyannote[486].end 9718.14096875
transcript.pyannote[487].speaker SPEAKER_00
transcript.pyannote[487].start 9718.14096875
transcript.pyannote[487].end 9725.05971875
transcript.pyannote[488].speaker SPEAKER_18
transcript.pyannote[488].start 9724.41846875
transcript.pyannote[488].end 9725.46471875
transcript.pyannote[489].speaker SPEAKER_00
transcript.pyannote[489].start 9725.46471875
transcript.pyannote[489].end 9745.42784375
transcript.pyannote[490].speaker SPEAKER_10
transcript.pyannote[490].start 9744.92159375
transcript.pyannote[490].end 9745.74846875
transcript.pyannote[491].speaker SPEAKER_00
transcript.pyannote[491].start 9746.06909375
transcript.pyannote[491].end 9752.93721875
transcript.pyannote[492].speaker SPEAKER_10
transcript.pyannote[492].start 9752.38034375
transcript.pyannote[492].end 9752.95409375
transcript.pyannote[493].speaker SPEAKER_00
transcript.pyannote[493].start 9752.95409375
transcript.pyannote[493].end 9753.00471875
transcript.pyannote[494].speaker SPEAKER_10
transcript.pyannote[494].start 9753.00471875
transcript.pyannote[494].end 9753.20721875
transcript.pyannote[495].speaker SPEAKER_00
transcript.pyannote[495].start 9753.20721875
transcript.pyannote[495].end 9753.22409375
transcript.pyannote[496].speaker SPEAKER_00
transcript.pyannote[496].start 9753.37596875
transcript.pyannote[496].end 9762.55596875
transcript.pyannote[497].speaker SPEAKER_10
transcript.pyannote[497].start 9762.20159375
transcript.pyannote[497].end 9763.01159375
transcript.pyannote[498].speaker SPEAKER_00
transcript.pyannote[498].start 9763.01159375
transcript.pyannote[498].end 9770.74034375
transcript.pyannote[499].speaker SPEAKER_00
transcript.pyannote[499].start 9771.12846875
transcript.pyannote[499].end 9779.51534375
transcript.pyannote[500].speaker SPEAKER_00
transcript.pyannote[500].start 9779.58284375
transcript.pyannote[500].end 9792.49221875
transcript.pyannote[501].speaker SPEAKER_10
transcript.pyannote[501].start 9785.20221875
transcript.pyannote[501].end 9785.67471875
transcript.pyannote[502].speaker SPEAKER_10
transcript.pyannote[502].start 9791.85096875
transcript.pyannote[502].end 9792.79596875
transcript.pyannote[503].speaker SPEAKER_00
transcript.pyannote[503].start 9792.93096875
transcript.pyannote[503].end 9799.57971875
transcript.pyannote[504].speaker SPEAKER_10
transcript.pyannote[504].start 9799.07346875
transcript.pyannote[504].end 9800.10284375
transcript.pyannote[505].speaker SPEAKER_00
transcript.pyannote[505].start 9800.15346875
transcript.pyannote[505].end 9807.89909375
transcript.pyannote[506].speaker SPEAKER_10
transcript.pyannote[506].start 9807.37596875
transcript.pyannote[506].end 9808.38846875
transcript.pyannote[507].speaker SPEAKER_00
transcript.pyannote[507].start 9808.50659375
transcript.pyannote[507].end 9815.96534375
transcript.pyannote[508].speaker SPEAKER_10
transcript.pyannote[508].start 9815.57721875
transcript.pyannote[508].end 9816.62346875
transcript.pyannote[509].speaker SPEAKER_00
transcript.pyannote[509].start 9816.72471875
transcript.pyannote[509].end 9826.39409375
transcript.pyannote[510].speaker SPEAKER_11
transcript.pyannote[510].start 9825.87096875
transcript.pyannote[510].end 9825.93846875
transcript.pyannote[511].speaker SPEAKER_10
transcript.pyannote[511].start 9825.93846875
transcript.pyannote[511].end 9826.37721875
transcript.pyannote[512].speaker SPEAKER_10
transcript.pyannote[512].start 9826.39409375
transcript.pyannote[512].end 9826.83284375
transcript.pyannote[513].speaker SPEAKER_11
transcript.pyannote[513].start 9826.83284375
transcript.pyannote[513].end 9826.88346875
transcript.pyannote[514].speaker SPEAKER_00
transcript.pyannote[514].start 9826.96784375
transcript.pyannote[514].end 9840.72096875
transcript.pyannote[515].speaker SPEAKER_10
transcript.pyannote[515].start 9840.21471875
transcript.pyannote[515].end 9841.19346875
transcript.pyannote[516].speaker SPEAKER_00
transcript.pyannote[516].start 9841.26096875
transcript.pyannote[516].end 9848.61846875
transcript.pyannote[517].speaker SPEAKER_10
transcript.pyannote[517].start 9848.28096875
transcript.pyannote[517].end 9849.17534375
transcript.pyannote[518].speaker SPEAKER_00
transcript.pyannote[518].start 9849.17534375
transcript.pyannote[518].end 9857.25846875
transcript.pyannote[519].speaker SPEAKER_10
transcript.pyannote[519].start 9856.71846875
transcript.pyannote[519].end 9857.61284375
transcript.pyannote[520].speaker SPEAKER_00
transcript.pyannote[520].start 9857.61284375
transcript.pyannote[520].end 9865.34159375
transcript.pyannote[521].speaker SPEAKER_00
transcript.pyannote[521].start 9865.94909375
transcript.pyannote[521].end 9874.96034375
transcript.pyannote[522].speaker SPEAKER_10
transcript.pyannote[522].start 9874.40346875
transcript.pyannote[522].end 9874.92659375
transcript.pyannote[523].speaker SPEAKER_10
transcript.pyannote[523].start 9874.96034375
transcript.pyannote[523].end 9875.16284375
transcript.pyannote[524].speaker SPEAKER_00
transcript.pyannote[524].start 9875.16284375
transcript.pyannote[524].end 9892.17284375
transcript.pyannote[525].speaker SPEAKER_10
transcript.pyannote[525].start 9881.84534375
transcript.pyannote[525].end 9881.96346875
transcript.pyannote[526].speaker SPEAKER_11
transcript.pyannote[526].start 9881.96346875
transcript.pyannote[526].end 9882.14909375
transcript.pyannote[527].speaker SPEAKER_10
transcript.pyannote[527].start 9891.48096875
transcript.pyannote[527].end 9892.44284375
transcript.pyannote[528].speaker SPEAKER_00
transcript.pyannote[528].start 9892.44284375
transcript.pyannote[528].end 9902.55096875
transcript.pyannote[529].speaker SPEAKER_10
transcript.pyannote[529].start 9901.87596875
transcript.pyannote[529].end 9902.78721875
transcript.pyannote[530].speaker SPEAKER_00
transcript.pyannote[530].start 9903.02346875
transcript.pyannote[530].end 9908.23784375
transcript.pyannote[531].speaker SPEAKER_00
transcript.pyannote[531].start 9908.27159375
transcript.pyannote[531].end 9911.00534375
transcript.pyannote[532].speaker SPEAKER_10
transcript.pyannote[532].start 9910.36409375
transcript.pyannote[532].end 9911.39346875
transcript.pyannote[533].speaker SPEAKER_00
transcript.pyannote[533].start 9911.54534375
transcript.pyannote[533].end 9918.32909375
transcript.pyannote[534].speaker SPEAKER_10
transcript.pyannote[534].start 9917.78909375
transcript.pyannote[534].end 9917.80596875
transcript.pyannote[535].speaker SPEAKER_11
transcript.pyannote[535].start 9917.80596875
transcript.pyannote[535].end 9918.53159375
transcript.pyannote[536].speaker SPEAKER_10
transcript.pyannote[536].start 9918.53159375
transcript.pyannote[536].end 9918.54846875
transcript.pyannote[537].speaker SPEAKER_00
transcript.pyannote[537].start 9919.13909375
transcript.pyannote[537].end 9926.12534375
transcript.pyannote[538].speaker SPEAKER_10
transcript.pyannote[538].start 9925.58534375
transcript.pyannote[538].end 9926.44596875
transcript.pyannote[539].speaker SPEAKER_00
transcript.pyannote[539].start 9926.66534375
transcript.pyannote[539].end 9928.08284375
transcript.pyannote[540].speaker SPEAKER_00
transcript.pyannote[540].start 9928.45409375
transcript.pyannote[540].end 9936.36846875
transcript.pyannote[541].speaker SPEAKER_10
transcript.pyannote[541].start 9935.76096875
transcript.pyannote[541].end 9936.68909375
transcript.pyannote[542].speaker SPEAKER_00
transcript.pyannote[542].start 9936.94221875
transcript.pyannote[542].end 9943.92846875
transcript.pyannote[543].speaker SPEAKER_10
transcript.pyannote[543].start 9943.23659375
transcript.pyannote[543].end 9943.87784375
transcript.pyannote[544].speaker SPEAKER_10
transcript.pyannote[544].start 9943.92846875
transcript.pyannote[544].end 9943.94534375
transcript.pyannote[545].speaker SPEAKER_00
transcript.pyannote[545].start 9943.94534375
transcript.pyannote[545].end 9943.96221875
transcript.pyannote[546].speaker SPEAKER_10
transcript.pyannote[546].start 9943.96221875
transcript.pyannote[546].end 9944.02971875
transcript.pyannote[547].speaker SPEAKER_00
transcript.pyannote[547].start 9944.02971875
transcript.pyannote[547].end 9944.21534375
transcript.pyannote[548].speaker SPEAKER_00
transcript.pyannote[548].start 9944.40096875
transcript.pyannote[548].end 9952.61909375
transcript.pyannote[549].speaker SPEAKER_00
transcript.pyannote[549].start 9953.04096875
transcript.pyannote[549].end 9960.29721875
transcript.pyannote[550].speaker SPEAKER_11
transcript.pyannote[550].start 9959.58846875
transcript.pyannote[550].end 9960.70221875
transcript.pyannote[551].speaker SPEAKER_00
transcript.pyannote[551].start 9960.70221875
transcript.pyannote[551].end 9966.92909375
transcript.pyannote[552].speaker SPEAKER_11
transcript.pyannote[552].start 9966.32159375
transcript.pyannote[552].end 9967.36784375
transcript.pyannote[553].speaker SPEAKER_00
transcript.pyannote[553].start 9967.40159375
transcript.pyannote[553].end 9972.61596875
transcript.pyannote[554].speaker SPEAKER_11
transcript.pyannote[554].start 9972.02534375
transcript.pyannote[554].end 9972.93659375
transcript.pyannote[555].speaker SPEAKER_00
transcript.pyannote[555].start 9973.05471875
transcript.pyannote[555].end 9986.38596875
transcript.pyannote[556].speaker SPEAKER_10
transcript.pyannote[556].start 9985.60971875
transcript.pyannote[556].end 9986.40284375
transcript.pyannote[557].speaker SPEAKER_00
transcript.pyannote[557].start 9986.40284375
transcript.pyannote[557].end 9986.43659375
transcript.pyannote[558].speaker SPEAKER_10
transcript.pyannote[558].start 9986.43659375
transcript.pyannote[558].end 9986.45346875
transcript.pyannote[559].speaker SPEAKER_00
transcript.pyannote[559].start 9986.45346875
transcript.pyannote[559].end 9986.52096875
transcript.pyannote[560].speaker SPEAKER_10
transcript.pyannote[560].start 9986.52096875
transcript.pyannote[560].end 9986.55471875
transcript.pyannote[561].speaker SPEAKER_00
transcript.pyannote[561].start 9986.55471875
transcript.pyannote[561].end 9986.57159375
transcript.pyannote[562].speaker SPEAKER_00
transcript.pyannote[562].start 9986.75721875
transcript.pyannote[562].end 9993.72659375
transcript.pyannote[563].speaker SPEAKER_11
transcript.pyannote[563].start 9993.03471875
transcript.pyannote[563].end 9994.13159375
transcript.pyannote[564].speaker SPEAKER_00
transcript.pyannote[564].start 9994.13159375
transcript.pyannote[564].end 10003.02471875
transcript.pyannote[565].speaker SPEAKER_11
transcript.pyannote[565].start 10002.29909375
transcript.pyannote[565].end 10003.29471875
transcript.pyannote[566].speaker SPEAKER_00
transcript.pyannote[566].start 10003.29471875
transcript.pyannote[566].end 10003.31159375
transcript.pyannote[567].speaker SPEAKER_00
transcript.pyannote[567].start 10003.32846875
transcript.pyannote[567].end 10010.97284375
transcript.pyannote[568].speaker SPEAKER_11
transcript.pyannote[568].start 10010.24721875
transcript.pyannote[568].end 10010.26409375
transcript.pyannote[569].speaker SPEAKER_10
transcript.pyannote[569].start 10010.26409375
transcript.pyannote[569].end 10011.27659375
transcript.pyannote[570].speaker SPEAKER_00
transcript.pyannote[570].start 10011.27659375
transcript.pyannote[570].end 10019.51159375
transcript.pyannote[571].speaker SPEAKER_10
transcript.pyannote[571].start 10019.03909375
transcript.pyannote[571].end 10020.00096875
transcript.pyannote[572].speaker SPEAKER_00
transcript.pyannote[572].start 10020.00096875
transcript.pyannote[572].end 10027.67909375
transcript.pyannote[573].speaker SPEAKER_10
transcript.pyannote[573].start 10027.03784375
transcript.pyannote[573].end 10028.03346875
transcript.pyannote[574].speaker SPEAKER_00
transcript.pyannote[574].start 10028.79284375
transcript.pyannote[574].end 10035.44159375
transcript.pyannote[575].speaker SPEAKER_10
transcript.pyannote[575].start 10034.93534375
transcript.pyannote[575].end 10035.81284375
transcript.pyannote[576].speaker SPEAKER_00
transcript.pyannote[576].start 10036.01534375
transcript.pyannote[576].end 10045.43159375
transcript.pyannote[577].speaker SPEAKER_10
transcript.pyannote[577].start 10045.06034375
transcript.pyannote[577].end 10046.03909375
transcript.pyannote[578].speaker SPEAKER_00
transcript.pyannote[578].start 10046.05596875
transcript.pyannote[578].end 10048.03034375
transcript.pyannote[579].speaker SPEAKER_00
transcript.pyannote[579].start 10048.87409375
transcript.pyannote[579].end 10054.51034375
transcript.pyannote[580].speaker SPEAKER_09
transcript.pyannote[580].start 10054.67909375
transcript.pyannote[580].end 10060.97346875
transcript.pyannote[581].speaker SPEAKER_00
transcript.pyannote[581].start 10062.01971875
transcript.pyannote[581].end 10062.99846875
transcript.pyannote[582].speaker SPEAKER_00
transcript.pyannote[582].start 10063.33596875
transcript.pyannote[582].end 10067.84159375
transcript.pyannote[583].speaker SPEAKER_00
transcript.pyannote[583].start 10067.90909375
transcript.pyannote[583].end 10073.10659375
transcript.pyannote[584].speaker SPEAKER_00
transcript.pyannote[584].start 10073.47784375
transcript.pyannote[584].end 10077.47721875
transcript.pyannote[585].speaker SPEAKER_09
transcript.pyannote[585].start 10080.49784375
transcript.pyannote[585].end 10084.24409375
transcript.pyannote[586].speaker SPEAKER_09
transcript.pyannote[586].start 10084.53096875
transcript.pyannote[586].end 10091.39909375
transcript.pyannote[587].speaker SPEAKER_09
transcript.pyannote[587].start 10091.92221875
transcript.pyannote[587].end 10093.42409375
transcript.pyannote[588].speaker SPEAKER_00
transcript.pyannote[588].start 10094.01471875
transcript.pyannote[588].end 10101.35534375
transcript.pyannote[589].speaker SPEAKER_09
transcript.pyannote[589].start 10101.35534375
transcript.pyannote[589].end 10101.87846875
transcript.pyannote[590].speaker SPEAKER_00
transcript.pyannote[590].start 10102.46909375
transcript.pyannote[590].end 10102.48596875
transcript.pyannote[591].speaker SPEAKER_00
transcript.pyannote[591].start 10102.53659375
transcript.pyannote[591].end 10102.57034375
transcript.pyannote[592].speaker SPEAKER_00
transcript.pyannote[592].start 10103.51534375
transcript.pyannote[592].end 10104.15659375
transcript.pyannote[593].speaker SPEAKER_00
transcript.pyannote[593].start 10104.56159375
transcript.pyannote[593].end 10114.19721875
transcript.pyannote[594].speaker SPEAKER_10
transcript.pyannote[594].start 10113.45471875
transcript.pyannote[594].end 10113.97784375
transcript.pyannote[595].speaker SPEAKER_00
transcript.pyannote[595].start 10114.41659375
transcript.pyannote[595].end 10121.23409375
transcript.pyannote[596].speaker SPEAKER_10
transcript.pyannote[596].start 10120.59284375
transcript.pyannote[596].end 10121.21721875
transcript.pyannote[597].speaker SPEAKER_10
transcript.pyannote[597].start 10121.23409375
transcript.pyannote[597].end 10121.50409375
transcript.pyannote[598].speaker SPEAKER_00
transcript.pyannote[598].start 10121.75721875
transcript.pyannote[598].end 10129.08096875
transcript.pyannote[599].speaker SPEAKER_10
transcript.pyannote[599].start 10128.45659375
transcript.pyannote[599].end 10129.36784375
transcript.pyannote[600].speaker SPEAKER_00
transcript.pyannote[600].start 10129.84034375
transcript.pyannote[600].end 10145.71971875
transcript.pyannote[601].speaker SPEAKER_10
transcript.pyannote[601].start 10137.51846875
transcript.pyannote[601].end 10138.12596875
transcript.pyannote[602].speaker SPEAKER_10
transcript.pyannote[602].start 10144.96034375
transcript.pyannote[602].end 10145.95596875
transcript.pyannote[603].speaker SPEAKER_00
transcript.pyannote[603].start 10146.29346875
transcript.pyannote[603].end 10153.60034375
transcript.pyannote[604].speaker SPEAKER_10
transcript.pyannote[604].start 10152.84096875
transcript.pyannote[604].end 10153.78596875
transcript.pyannote[605].speaker SPEAKER_00
transcript.pyannote[605].start 10154.12346875
transcript.pyannote[605].end 10177.25909375
transcript.pyannote[606].speaker SPEAKER_10
transcript.pyannote[606].start 10159.47284375
transcript.pyannote[606].end 10159.81034375
transcript.pyannote[607].speaker SPEAKER_11
transcript.pyannote[607].start 10168.01159375
transcript.pyannote[607].end 10168.04534375
transcript.pyannote[608].speaker SPEAKER_10
transcript.pyannote[608].start 10168.04534375
transcript.pyannote[608].end 10168.65284375
transcript.pyannote[609].speaker SPEAKER_11
transcript.pyannote[609].start 10168.65284375
transcript.pyannote[609].end 10168.66971875
transcript.pyannote[610].speaker SPEAKER_00
transcript.pyannote[610].start 10177.63034375
transcript.pyannote[610].end 10181.02221875
transcript.pyannote[611].speaker SPEAKER_10
transcript.pyannote[611].start 10180.33034375
transcript.pyannote[611].end 10180.97159375
transcript.pyannote[612].speaker SPEAKER_10
transcript.pyannote[612].start 10181.02221875
transcript.pyannote[612].end 10181.24159375
transcript.pyannote[613].speaker SPEAKER_00
transcript.pyannote[613].start 10181.49471875
transcript.pyannote[613].end 10188.56534375
transcript.pyannote[614].speaker SPEAKER_10
transcript.pyannote[614].start 10187.89034375
transcript.pyannote[614].end 10188.90284375
transcript.pyannote[615].speaker SPEAKER_00
transcript.pyannote[615].start 10189.10534375
transcript.pyannote[615].end 10197.22221875
transcript.pyannote[616].speaker SPEAKER_10
transcript.pyannote[616].start 10196.27721875
transcript.pyannote[616].end 10196.80034375
transcript.pyannote[617].speaker SPEAKER_00
transcript.pyannote[617].start 10197.52596875
transcript.pyannote[617].end 10205.45721875
transcript.pyannote[618].speaker SPEAKER_10
transcript.pyannote[618].start 10204.64721875
transcript.pyannote[618].end 10205.08596875
transcript.pyannote[619].speaker SPEAKER_10
transcript.pyannote[619].start 10205.45721875
transcript.pyannote[619].end 10205.47409375
transcript.pyannote[620].speaker SPEAKER_00
transcript.pyannote[620].start 10205.82846875
transcript.pyannote[620].end 10216.93221875
transcript.pyannote[621].speaker SPEAKER_10
transcript.pyannote[621].start 10216.27409375
transcript.pyannote[621].end 10216.83096875
transcript.pyannote[622].speaker SPEAKER_10
transcript.pyannote[622].start 10216.93221875
transcript.pyannote[622].end 10217.01659375
transcript.pyannote[623].speaker SPEAKER_00
transcript.pyannote[623].start 10217.01659375
transcript.pyannote[623].end 10225.70721875
transcript.pyannote[624].speaker SPEAKER_10
transcript.pyannote[624].start 10224.84659375
transcript.pyannote[624].end 10225.80846875
transcript.pyannote[625].speaker SPEAKER_00
transcript.pyannote[625].start 10225.80846875
transcript.pyannote[625].end 10225.85909375
transcript.pyannote[626].speaker SPEAKER_00
transcript.pyannote[626].start 10226.09534375
transcript.pyannote[626].end 10233.63846875
transcript.pyannote[627].speaker SPEAKER_10
transcript.pyannote[627].start 10233.08159375
transcript.pyannote[627].end 10234.04346875
transcript.pyannote[628].speaker SPEAKER_00
transcript.pyannote[628].start 10234.04346875
transcript.pyannote[628].end 10239.88221875
transcript.pyannote[629].speaker SPEAKER_10
transcript.pyannote[629].start 10239.40971875
transcript.pyannote[629].end 10240.30409375
transcript.pyannote[630].speaker SPEAKER_00
transcript.pyannote[630].start 10241.11409375
transcript.pyannote[630].end 10248.37034375
transcript.pyannote[631].speaker SPEAKER_11
transcript.pyannote[631].start 10247.62784375
transcript.pyannote[631].end 10248.70784375
transcript.pyannote[632].speaker SPEAKER_00
transcript.pyannote[632].start 10248.70784375
transcript.pyannote[632].end 10255.55909375
transcript.pyannote[633].speaker SPEAKER_10
transcript.pyannote[633].start 10254.85034375
transcript.pyannote[633].end 10255.79534375
transcript.pyannote[634].speaker SPEAKER_00
transcript.pyannote[634].start 10255.99784375
transcript.pyannote[634].end 10261.43159375
transcript.pyannote[635].speaker SPEAKER_10
transcript.pyannote[635].start 10261.17846875
transcript.pyannote[635].end 10262.34284375
transcript.pyannote[636].speaker SPEAKER_00
transcript.pyannote[636].start 10262.02221875
transcript.pyannote[636].end 10267.72596875
transcript.pyannote[637].speaker SPEAKER_10
transcript.pyannote[637].start 10267.20284375
transcript.pyannote[637].end 10268.08034375
transcript.pyannote[638].speaker SPEAKER_00
transcript.pyannote[638].start 10268.08034375
transcript.pyannote[638].end 10268.09721875
transcript.pyannote[639].speaker SPEAKER_00
transcript.pyannote[639].start 10268.13096875
transcript.pyannote[639].end 10274.15534375
transcript.pyannote[640].speaker SPEAKER_10
transcript.pyannote[640].start 10273.41284375
transcript.pyannote[640].end 10273.88534375
transcript.pyannote[641].speaker SPEAKER_00
transcript.pyannote[641].start 10274.44221875
transcript.pyannote[641].end 10282.96409375
transcript.pyannote[642].speaker SPEAKER_10
transcript.pyannote[642].start 10282.96409375
transcript.pyannote[642].end 10283.13284375
transcript.pyannote[643].speaker SPEAKER_00
transcript.pyannote[643].start 10283.13284375
transcript.pyannote[643].end 10283.23409375
transcript.pyannote[644].speaker SPEAKER_10
transcript.pyannote[644].start 10283.23409375
transcript.pyannote[644].end 10283.25096875
transcript.pyannote[645].speaker SPEAKER_00
transcript.pyannote[645].start 10283.48721875
transcript.pyannote[645].end 10289.76471875
transcript.pyannote[646].speaker SPEAKER_00
transcript.pyannote[646].start 10290.06846875
transcript.pyannote[646].end 10290.97971875
transcript.pyannote[647].speaker SPEAKER_00
transcript.pyannote[647].start 10291.65471875
transcript.pyannote[647].end 10299.46784375
transcript.pyannote[648].speaker SPEAKER_00
transcript.pyannote[648].start 10300.48034375
transcript.pyannote[648].end 10307.73659375
transcript.pyannote[649].speaker SPEAKER_10
transcript.pyannote[649].start 10307.02784375
transcript.pyannote[649].end 10307.51721875
transcript.pyannote[650].speaker SPEAKER_00
transcript.pyannote[650].start 10308.39471875
transcript.pyannote[650].end 10317.62534375
transcript.pyannote[651].speaker SPEAKER_10
transcript.pyannote[651].start 10317.10221875
transcript.pyannote[651].end 10317.92909375
transcript.pyannote[652].speaker SPEAKER_00
transcript.pyannote[652].start 10318.19909375
transcript.pyannote[652].end 10325.28659375
transcript.pyannote[653].speaker SPEAKER_10
transcript.pyannote[653].start 10324.71284375
transcript.pyannote[653].end 10325.55659375
transcript.pyannote[654].speaker SPEAKER_00
transcript.pyannote[654].start 10326.19784375
transcript.pyannote[654].end 10332.49221875
transcript.pyannote[655].speaker SPEAKER_10
transcript.pyannote[655].start 10331.66534375
transcript.pyannote[655].end 10331.88471875
transcript.pyannote[656].speaker SPEAKER_00
transcript.pyannote[656].start 10332.62721875
transcript.pyannote[656].end 10341.58784375
transcript.pyannote[657].speaker SPEAKER_10
transcript.pyannote[657].start 10341.03096875
transcript.pyannote[657].end 10341.04784375
transcript.pyannote[658].speaker SPEAKER_11
transcript.pyannote[658].start 10341.04784375
transcript.pyannote[658].end 10341.58784375
transcript.pyannote[659].speaker SPEAKER_10
transcript.pyannote[659].start 10341.58784375
transcript.pyannote[659].end 10341.97596875
transcript.pyannote[660].speaker SPEAKER_00
transcript.pyannote[660].start 10341.97596875
transcript.pyannote[660].end 10350.86909375
transcript.pyannote[661].speaker SPEAKER_00
transcript.pyannote[661].start 10350.95346875
transcript.pyannote[661].end 10362.73221875
transcript.pyannote[662].speaker SPEAKER_00
transcript.pyannote[662].start 10363.54221875
transcript.pyannote[662].end 10381.88534375
transcript.pyannote[663].speaker SPEAKER_00
transcript.pyannote[663].start 10382.10471875
transcript.pyannote[663].end 10407.38346875
transcript.pyannote[664].speaker SPEAKER_10
transcript.pyannote[664].start 10407.04596875
transcript.pyannote[664].end 10407.85596875
transcript.pyannote[665].speaker SPEAKER_00
transcript.pyannote[665].start 10408.53096875
transcript.pyannote[665].end 10414.13346875
transcript.pyannote[666].speaker SPEAKER_00
transcript.pyannote[666].start 10414.82534375
transcript.pyannote[666].end 10448.71034375
transcript.pyannote[667].speaker SPEAKER_00
transcript.pyannote[667].start 10448.87909375
transcript.pyannote[667].end 10458.93659375
transcript.pyannote[668].speaker SPEAKER_00
transcript.pyannote[668].start 10459.25721875
transcript.pyannote[668].end 10463.79659375
transcript.pyannote[669].speaker SPEAKER_00
transcript.pyannote[669].start 10464.33659375
transcript.pyannote[669].end 10472.50409375
transcript.pyannote[670].speaker SPEAKER_00
transcript.pyannote[670].start 10472.95971875
transcript.pyannote[670].end 10473.61784375
transcript.pyannote[671].speaker SPEAKER_00
transcript.pyannote[671].start 10474.20846875
transcript.pyannote[671].end 10481.75159375
transcript.pyannote[672].speaker SPEAKER_00
transcript.pyannote[672].start 10482.07221875
transcript.pyannote[672].end 10490.99909375
transcript.pyannote[673].speaker SPEAKER_00
transcript.pyannote[673].start 10491.53909375
transcript.pyannote[673].end 10496.61846875
transcript.pyannote[674].speaker SPEAKER_00
transcript.pyannote[674].start 10496.97284375
transcript.pyannote[674].end 10508.26221875
transcript.pyannote[675].speaker SPEAKER_00
transcript.pyannote[675].start 10508.32971875
transcript.pyannote[675].end 10516.21034375
transcript.pyannote[676].speaker SPEAKER_00
transcript.pyannote[676].start 10516.39596875
transcript.pyannote[676].end 10528.12409375
transcript.pyannote[677].speaker SPEAKER_11
transcript.pyannote[677].start 10516.71659375
transcript.pyannote[677].end 10516.73346875
transcript.pyannote[678].speaker SPEAKER_01
transcript.pyannote[678].start 10516.73346875
transcript.pyannote[678].end 10517.00346875
transcript.pyannote[679].speaker SPEAKER_00
transcript.pyannote[679].start 10528.46159375
transcript.pyannote[679].end 10536.35909375
transcript.pyannote[680].speaker SPEAKER_00
transcript.pyannote[680].start 10536.64596875
transcript.pyannote[680].end 10537.48971875
transcript.pyannote[681].speaker SPEAKER_00
transcript.pyannote[681].start 10537.81034375
transcript.pyannote[681].end 10541.18534375
transcript.pyannote[682].speaker SPEAKER_00
transcript.pyannote[682].start 10541.59034375
transcript.pyannote[682].end 10542.23159375
transcript.pyannote[683].speaker SPEAKER_00
transcript.pyannote[683].start 10542.50159375
transcript.pyannote[683].end 10557.97596875
transcript.pyannote[684].speaker SPEAKER_00
transcript.pyannote[684].start 10558.73534375
transcript.pyannote[684].end 10559.39346875
transcript.pyannote[685].speaker SPEAKER_00
transcript.pyannote[685].start 10559.76471875
transcript.pyannote[685].end 10564.86096875
transcript.pyannote[686].speaker SPEAKER_00
transcript.pyannote[686].start 10565.06346875
transcript.pyannote[686].end 10570.22721875
transcript.pyannote[687].speaker SPEAKER_00
transcript.pyannote[687].start 10570.36221875
transcript.pyannote[687].end 10585.46534375
transcript.pyannote[688].speaker SPEAKER_09
transcript.pyannote[688].start 10589.63346875
transcript.pyannote[688].end 10591.65846875
transcript.pyannote[689].speaker SPEAKER_09
transcript.pyannote[689].start 10592.23221875
transcript.pyannote[689].end 10593.59909375
transcript.pyannote[690].speaker SPEAKER_09
transcript.pyannote[690].start 10593.93659375
transcript.pyannote[690].end 10595.45534375
transcript.pyannote[691].speaker SPEAKER_09
transcript.pyannote[691].start 10595.75909375
transcript.pyannote[691].end 10600.58534375
transcript.pyannote[692].speaker SPEAKER_00
transcript.pyannote[692].start 10601.66534375
transcript.pyannote[692].end 10612.71846875
transcript.pyannote[693].speaker SPEAKER_00
transcript.pyannote[693].start 10613.41034375
transcript.pyannote[693].end 10624.21034375
transcript.pyannote[694].speaker SPEAKER_09
transcript.pyannote[694].start 10624.31159375
transcript.pyannote[694].end 10650.36659375
transcript.pyannote[695].speaker SPEAKER_09
transcript.pyannote[695].start 10650.72096875
transcript.pyannote[695].end 10653.85971875
transcript.pyannote[696].speaker SPEAKER_00
transcript.pyannote[696].start 10654.63596875
transcript.pyannote[696].end 10705.75034375
transcript.pyannote[697].speaker SPEAKER_09
transcript.pyannote[697].start 10707.47159375
transcript.pyannote[697].end 10712.21346875
transcript.pyannote[698].speaker SPEAKER_09
transcript.pyannote[698].start 10712.38221875
transcript.pyannote[698].end 10719.97596875
transcript.pyannote[699].speaker SPEAKER_00
transcript.pyannote[699].start 10720.71846875
transcript.pyannote[699].end 10744.56284375
transcript.pyannote[700].speaker SPEAKER_09
transcript.pyannote[700].start 10745.71034375
transcript.pyannote[700].end 10747.54971875
transcript.pyannote[701].speaker SPEAKER_00
transcript.pyannote[701].start 10748.49471875
transcript.pyannote[701].end 10763.73284375
transcript.pyannote[702].speaker SPEAKER_09
transcript.pyannote[702].start 10764.12096875
transcript.pyannote[702].end 10768.96409375
transcript.pyannote[703].speaker SPEAKER_09
transcript.pyannote[703].start 10769.25096875
transcript.pyannote[703].end 10772.00159375
transcript.pyannote[704].speaker SPEAKER_00
transcript.pyannote[704].start 10772.62596875
transcript.pyannote[704].end 10779.12284375
transcript.pyannote[705].speaker SPEAKER_00
transcript.pyannote[705].start 10779.25784375
transcript.pyannote[705].end 10784.87721875
transcript.pyannote[706].speaker SPEAKER_09
transcript.pyannote[706].start 10785.63659375
transcript.pyannote[706].end 10789.83846875
transcript.pyannote[707].speaker SPEAKER_09
transcript.pyannote[707].start 10790.29409375
transcript.pyannote[707].end 10794.76596875
transcript.pyannote[708].speaker SPEAKER_09
transcript.pyannote[708].start 10794.85034375
transcript.pyannote[708].end 10797.63471875
transcript.pyannote[709].speaker SPEAKER_09
transcript.pyannote[709].start 10797.97221875
transcript.pyannote[709].end 10803.15284375
transcript.pyannote[710].speaker SPEAKER_09
transcript.pyannote[710].start 10803.76034375
transcript.pyannote[710].end 10815.50534375
transcript.pyannote[711].speaker SPEAKER_00
transcript.pyannote[711].start 10816.43346875
transcript.pyannote[711].end 10846.67346875
transcript.pyannote[712].speaker SPEAKER_00
transcript.pyannote[712].start 10847.41596875
transcript.pyannote[712].end 10882.48221875
transcript.pyannote[713].speaker SPEAKER_00
transcript.pyannote[713].start 10882.65096875
transcript.pyannote[713].end 10925.73284375
transcript.pyannote[714].speaker SPEAKER_00
transcript.pyannote[714].start 10926.50909375
transcript.pyannote[714].end 10927.18409375
transcript.pyannote[715].speaker SPEAKER_09
transcript.pyannote[715].start 10927.18409375
transcript.pyannote[715].end 10936.39784375
transcript.pyannote[716].speaker SPEAKER_09
transcript.pyannote[716].start 10936.80284375
transcript.pyannote[716].end 10952.05784375
transcript.pyannote[717].speaker SPEAKER_09
transcript.pyannote[717].start 10952.74971875
transcript.pyannote[717].end 10956.20909375
transcript.pyannote[718].speaker SPEAKER_09
transcript.pyannote[718].start 10956.63096875
transcript.pyannote[718].end 10958.72346875
transcript.pyannote[719].speaker SPEAKER_09
transcript.pyannote[719].start 10959.43221875
transcript.pyannote[719].end 10964.78159375
transcript.pyannote[720].speaker SPEAKER_00
transcript.pyannote[720].start 10965.43971875
transcript.pyannote[720].end 10983.54659375
transcript.pyannote[721].speaker SPEAKER_00
transcript.pyannote[721].start 10984.27221875
transcript.pyannote[721].end 10996.62471875
transcript.pyannote[722].speaker SPEAKER_00
transcript.pyannote[722].start 10997.16471875
transcript.pyannote[722].end 10999.03784375
transcript.pyannote[723].speaker SPEAKER_00
transcript.pyannote[723].start 10999.74659375
transcript.pyannote[723].end 11008.42034375
transcript.pyannote[724].speaker SPEAKER_09
transcript.pyannote[724].start 11008.89284375
transcript.pyannote[724].end 11011.79534375
transcript.pyannote[725].speaker SPEAKER_09
transcript.pyannote[725].start 11012.58846875
transcript.pyannote[725].end 11013.92159375
transcript.pyannote[726].speaker SPEAKER_09
transcript.pyannote[726].start 11014.00596875
transcript.pyannote[726].end 11018.34284375
transcript.pyannote[727].speaker SPEAKER_09
transcript.pyannote[727].start 11018.88284375
transcript.pyannote[727].end 11026.51034375
transcript.pyannote[728].speaker SPEAKER_00
transcript.pyannote[728].start 11030.10471875
transcript.pyannote[728].end 11050.48971875
transcript.pyannote[729].speaker SPEAKER_00
transcript.pyannote[729].start 11051.02971875
transcript.pyannote[729].end 11059.82159375
transcript.pyannote[730].speaker SPEAKER_00
transcript.pyannote[730].start 11059.95659375
transcript.pyannote[730].end 11063.31471875
transcript.pyannote[731].speaker SPEAKER_09
transcript.pyannote[731].start 11065.17096875
transcript.pyannote[731].end 11066.75721875
transcript.pyannote[732].speaker SPEAKER_09
transcript.pyannote[732].start 11067.26346875
transcript.pyannote[732].end 11073.52409375
transcript.pyannote[733].speaker SPEAKER_09
transcript.pyannote[733].start 11073.97971875
transcript.pyannote[733].end 11076.17346875
transcript.pyannote[734].speaker SPEAKER_00
transcript.pyannote[734].start 11076.98346875
transcript.pyannote[734].end 11091.59721875
transcript.pyannote[735].speaker SPEAKER_00
transcript.pyannote[735].start 11092.12034375
transcript.pyannote[735].end 11097.06471875
transcript.pyannote[736].speaker SPEAKER_00
transcript.pyannote[736].start 11097.63846875
transcript.pyannote[736].end 11098.49909375
transcript.pyannote[737].speaker SPEAKER_00
transcript.pyannote[737].start 11098.75221875
transcript.pyannote[737].end 11100.05159375
transcript.pyannote[738].speaker SPEAKER_00
transcript.pyannote[738].start 11100.23721875
transcript.pyannote[738].end 11103.44346875
transcript.pyannote[739].speaker SPEAKER_00
transcript.pyannote[739].start 11103.47721875
transcript.pyannote[739].end 11106.51471875
transcript.pyannote[740].speaker SPEAKER_09
transcript.pyannote[740].start 11107.25721875
transcript.pyannote[740].end 11110.51409375
transcript.pyannote[741].speaker SPEAKER_09
transcript.pyannote[741].start 11111.18909375
transcript.pyannote[741].end 11119.30596875
transcript.pyannote[742].speaker SPEAKER_09
transcript.pyannote[742].start 11121.80346875
transcript.pyannote[742].end 11129.78534375
transcript.pyannote[743].speaker SPEAKER_00
transcript.pyannote[743].start 11131.84409375
transcript.pyannote[743].end 11154.10221875
transcript.pyannote[744].speaker SPEAKER_00
transcript.pyannote[744].start 11154.57471875
transcript.pyannote[744].end 11161.17284375
transcript.pyannote[745].speaker SPEAKER_00
transcript.pyannote[745].start 11161.37534375
transcript.pyannote[745].end 11171.11221875
transcript.pyannote[746].speaker SPEAKER_09
transcript.pyannote[746].start 11171.11221875
transcript.pyannote[746].end 11174.08221875
transcript.pyannote[747].speaker SPEAKER_09
transcript.pyannote[747].start 11174.65596875
transcript.pyannote[747].end 11180.00534375
transcript.pyannote[748].speaker SPEAKER_09
transcript.pyannote[748].start 11180.34284375
transcript.pyannote[748].end 11188.02096875
transcript.pyannote[749].speaker SPEAKER_00
transcript.pyannote[749].start 11188.64534375
transcript.pyannote[749].end 11254.98096875
transcript.pyannote[750].speaker SPEAKER_00
transcript.pyannote[750].start 11255.38596875
transcript.pyannote[750].end 11259.35159375
transcript.pyannote[751].speaker SPEAKER_00
transcript.pyannote[751].start 11259.87471875
transcript.pyannote[751].end 11261.71409375
transcript.pyannote[752].speaker SPEAKER_00
transcript.pyannote[752].start 11262.10221875
transcript.pyannote[752].end 11262.11909375
transcript.pyannote[753].speaker SPEAKER_00
transcript.pyannote[753].start 11262.20346875
transcript.pyannote[753].end 11298.48471875
transcript.pyannote[754].speaker SPEAKER_00
transcript.pyannote[754].start 11298.82221875
transcript.pyannote[754].end 11302.95659375
transcript.pyannote[755].speaker SPEAKER_00
transcript.pyannote[755].start 11303.47971875
transcript.pyannote[755].end 11306.26409375
transcript.pyannote[756].speaker SPEAKER_00
transcript.pyannote[756].start 11306.56784375
transcript.pyannote[756].end 11339.71034375
transcript.pyannote[757].speaker SPEAKER_00
transcript.pyannote[757].start 11339.96346875
transcript.pyannote[757].end 11378.23596875
transcript.pyannote[758].speaker SPEAKER_00
transcript.pyannote[758].start 11379.41721875
transcript.pyannote[758].end 11387.92221875
transcript.pyannote[759].speaker SPEAKER_09
transcript.pyannote[759].start 11389.84596875
transcript.pyannote[759].end 11397.37221875
transcript.pyannote[760].speaker SPEAKER_09
transcript.pyannote[760].start 11397.65909375
transcript.pyannote[760].end 11398.75596875
transcript.pyannote[761].speaker SPEAKER_09
transcript.pyannote[761].start 11399.19471875
transcript.pyannote[761].end 11401.55721875
transcript.pyannote[762].speaker SPEAKER_00
transcript.pyannote[762].start 11402.94096875
transcript.pyannote[762].end 11450.71409375
transcript.pyannote[763].speaker SPEAKER_00
transcript.pyannote[763].start 11450.81534375
transcript.pyannote[763].end 11540.01659375
transcript.pyannote[764].speaker SPEAKER_00
transcript.pyannote[764].start 11540.05034375
transcript.pyannote[764].end 11540.08409375
transcript.pyannote[765].speaker SPEAKER_00
transcript.pyannote[765].start 11540.16846875
transcript.pyannote[765].end 11552.11596875
transcript.pyannote[766].speaker SPEAKER_00
transcript.pyannote[766].start 11552.36909375
transcript.pyannote[766].end 11574.10409375
transcript.pyannote[767].speaker SPEAKER_09
transcript.pyannote[767].start 11577.42846875
transcript.pyannote[767].end 11579.65596875
transcript.pyannote[768].speaker SPEAKER_09
transcript.pyannote[768].start 11579.68971875
transcript.pyannote[768].end 11581.68096875
transcript.pyannote[769].speaker SPEAKER_09
transcript.pyannote[769].start 11582.42346875
transcript.pyannote[769].end 11585.22471875
transcript.pyannote[770].speaker SPEAKER_09
transcript.pyannote[770].start 11585.56221875
transcript.pyannote[770].end 11586.97971875
transcript.pyannote[771].speaker SPEAKER_09
transcript.pyannote[771].start 11587.43534375
transcript.pyannote[771].end 11592.41346875
transcript.pyannote[772].speaker SPEAKER_09
transcript.pyannote[772].start 11596.34534375
transcript.pyannote[772].end 11598.64034375
transcript.pyannote[773].speaker SPEAKER_09
transcript.pyannote[773].start 11599.21409375
transcript.pyannote[773].end 11605.06971875
transcript.pyannote[774].speaker SPEAKER_00
transcript.pyannote[774].start 11608.09034375
transcript.pyannote[774].end 11629.13346875
transcript.pyannote[775].speaker SPEAKER_00
transcript.pyannote[775].start 11630.06159375
transcript.pyannote[775].end 11638.04346875
transcript.pyannote[776].speaker SPEAKER_09
transcript.pyannote[776].start 11638.65096875
transcript.pyannote[776].end 11642.02596875
transcript.pyannote[777].speaker SPEAKER_09
transcript.pyannote[777].start 11642.63346875
transcript.pyannote[777].end 11643.84846875
transcript.pyannote[778].speaker SPEAKER_09
transcript.pyannote[778].start 11644.28721875
transcript.pyannote[778].end 11647.76346875
transcript.pyannote[779].speaker SPEAKER_09
transcript.pyannote[779].start 11648.05034375
transcript.pyannote[779].end 11649.06284375
transcript.pyannote[780].speaker SPEAKER_09
transcript.pyannote[780].start 11649.56909375
transcript.pyannote[780].end 11654.90159375
transcript.pyannote[781].speaker SPEAKER_00
transcript.pyannote[781].start 11655.54284375
transcript.pyannote[781].end 11679.60659375
transcript.pyannote[782].speaker SPEAKER_00
transcript.pyannote[782].start 11680.06221875
transcript.pyannote[782].end 11684.65221875
transcript.pyannote[783].speaker SPEAKER_00
transcript.pyannote[783].start 11685.04034375
transcript.pyannote[783].end 11687.75721875
transcript.pyannote[784].speaker SPEAKER_00
transcript.pyannote[784].start 11687.89221875
transcript.pyannote[784].end 11697.27471875
transcript.pyannote[785].speaker SPEAKER_09
transcript.pyannote[785].start 11697.86534375
transcript.pyannote[785].end 11700.48096875
transcript.pyannote[786].speaker SPEAKER_00
transcript.pyannote[786].start 11701.18971875
transcript.pyannote[786].end 11707.04534375
transcript.pyannote[787].speaker SPEAKER_09
transcript.pyannote[787].start 11707.04534375
transcript.pyannote[787].end 11714.68971875
transcript.pyannote[788].speaker SPEAKER_09
transcript.pyannote[788].start 11715.01034375
transcript.pyannote[788].end 11716.25909375
transcript.pyannote[789].speaker SPEAKER_09
transcript.pyannote[789].start 11716.69784375
transcript.pyannote[789].end 11719.00971875
transcript.pyannote[790].speaker SPEAKER_00
transcript.pyannote[790].start 11719.80284375
transcript.pyannote[790].end 11761.18034375
transcript.pyannote[791].speaker SPEAKER_09
transcript.pyannote[791].start 11763.07034375
transcript.pyannote[791].end 11764.01534375
transcript.pyannote[792].speaker SPEAKER_09
transcript.pyannote[792].start 11764.40346875
transcript.pyannote[792].end 11767.60971875
transcript.pyannote[793].speaker SPEAKER_09
transcript.pyannote[793].start 11768.13284375
transcript.pyannote[793].end 11770.44471875
transcript.pyannote[794].speaker SPEAKER_09
transcript.pyannote[794].start 11770.93409375
transcript.pyannote[794].end 11771.77784375
transcript.pyannote[795].speaker SPEAKER_09
transcript.pyannote[795].start 11772.13221875
transcript.pyannote[795].end 11776.30034375
transcript.pyannote[796].speaker SPEAKER_09
transcript.pyannote[796].start 11776.43534375
transcript.pyannote[796].end 11778.73034375
transcript.pyannote[797].speaker SPEAKER_09
transcript.pyannote[797].start 11782.40909375
transcript.pyannote[797].end 11786.15534375
transcript.pyannote[798].speaker SPEAKER_09
transcript.pyannote[798].start 11796.58409375
transcript.pyannote[798].end 11797.02284375
transcript.pyannote[799].speaker SPEAKER_09
transcript.pyannote[799].start 11798.82846875
transcript.pyannote[799].end 11799.45284375
transcript.pyannote[800].speaker SPEAKER_09
transcript.pyannote[800].start 11800.12784375
transcript.pyannote[800].end 11803.01346875
transcript.pyannote[801].speaker SPEAKER_14
transcript.pyannote[801].start 11813.15534375
transcript.pyannote[801].end 11813.77971875
transcript.pyannote[802].speaker SPEAKER_14
transcript.pyannote[802].start 11814.28596875
transcript.pyannote[802].end 11857.09784375
transcript.pyannote[803].speaker SPEAKER_14
transcript.pyannote[803].start 11857.13159375
transcript.pyannote[803].end 11873.83784375
transcript.pyannote[804].speaker SPEAKER_14
transcript.pyannote[804].start 11873.95596875
transcript.pyannote[804].end 11911.18221875
transcript.pyannote[805].speaker SPEAKER_09
transcript.pyannote[805].start 11913.10596875
transcript.pyannote[805].end 11919.38346875
transcript.pyannote[806].speaker SPEAKER_13
transcript.pyannote[806].start 11936.32596875
transcript.pyannote[806].end 11943.54846875
transcript.pyannote[807].speaker SPEAKER_13
transcript.pyannote[807].start 11944.05471875
transcript.pyannote[807].end 11992.97534375
transcript.pyannote[808].speaker SPEAKER_13
transcript.pyannote[808].start 11993.56596875
transcript.pyannote[808].end 12001.90221875
transcript.pyannote[809].speaker SPEAKER_13
transcript.pyannote[809].start 12002.07096875
transcript.pyannote[809].end 12004.38284375
transcript.pyannote[810].speaker SPEAKER_13
transcript.pyannote[810].start 12004.65284375
transcript.pyannote[810].end 12056.40846875
transcript.pyannote[811].speaker SPEAKER_09
transcript.pyannote[811].start 12056.94846875
transcript.pyannote[811].end 12064.22159375
transcript.pyannote[812].speaker SPEAKER_21
transcript.pyannote[812].start 12082.04159375
transcript.pyannote[812].end 12083.99909375
transcript.pyannote[813].speaker SPEAKER_21
transcript.pyannote[813].start 12084.87659375
transcript.pyannote[813].end 12085.87221875
transcript.pyannote[814].speaker SPEAKER_21
transcript.pyannote[814].start 12086.81721875
transcript.pyannote[814].end 12088.79159375
transcript.pyannote[815].speaker SPEAKER_21
transcript.pyannote[815].start 12090.02346875
transcript.pyannote[815].end 12090.90096875
transcript.pyannote[816].speaker SPEAKER_21
transcript.pyannote[816].start 12092.18346875
transcript.pyannote[816].end 12095.32221875
transcript.pyannote[817].speaker SPEAKER_21
transcript.pyannote[817].start 12096.97596875
transcript.pyannote[817].end 12098.41034375
transcript.pyannote[818].speaker SPEAKER_21
transcript.pyannote[818].start 12099.40596875
transcript.pyannote[818].end 12100.67159375
transcript.pyannote[819].speaker SPEAKER_21
transcript.pyannote[819].start 12102.27471875
transcript.pyannote[819].end 12102.83159375
transcript.pyannote[820].speaker SPEAKER_21
transcript.pyannote[820].start 12103.81034375
transcript.pyannote[820].end 12104.73846875
transcript.pyannote[821].speaker SPEAKER_21
transcript.pyannote[821].start 12105.70034375
transcript.pyannote[821].end 12106.71284375
transcript.pyannote[822].speaker SPEAKER_21
transcript.pyannote[822].start 12107.48909375
transcript.pyannote[822].end 12109.56471875
transcript.pyannote[823].speaker SPEAKER_21
transcript.pyannote[823].start 12110.54346875
transcript.pyannote[823].end 12111.47159375
transcript.pyannote[824].speaker SPEAKER_21
transcript.pyannote[824].start 12111.99471875
transcript.pyannote[824].end 12114.44159375
transcript.pyannote[825].speaker SPEAKER_21
transcript.pyannote[825].start 12115.97721875
transcript.pyannote[825].end 12116.92221875
transcript.pyannote[826].speaker SPEAKER_21
transcript.pyannote[826].start 12119.48721875
transcript.pyannote[826].end 12120.66846875
transcript.pyannote[827].speaker SPEAKER_21
transcript.pyannote[827].start 12122.10284375
transcript.pyannote[827].end 12123.57096875
transcript.pyannote[828].speaker SPEAKER_21
transcript.pyannote[828].start 12124.63409375
transcript.pyannote[828].end 12125.37659375
transcript.pyannote[829].speaker SPEAKER_21
transcript.pyannote[829].start 12126.05159375
transcript.pyannote[829].end 12127.13159375
transcript.pyannote[830].speaker SPEAKER_21
transcript.pyannote[830].start 12128.27909375
transcript.pyannote[830].end 12129.03846875
transcript.pyannote[831].speaker SPEAKER_21
transcript.pyannote[831].start 12130.13534375
transcript.pyannote[831].end 12131.35034375
transcript.pyannote[832].speaker SPEAKER_21
transcript.pyannote[832].start 12132.59909375
transcript.pyannote[832].end 12134.57346875
transcript.pyannote[833].speaker SPEAKER_21
transcript.pyannote[833].start 12135.13034375
transcript.pyannote[833].end 12136.07534375
transcript.pyannote[834].speaker SPEAKER_21
transcript.pyannote[834].start 12137.25659375
transcript.pyannote[834].end 12137.88096875
transcript.pyannote[835].speaker SPEAKER_21
transcript.pyannote[835].start 12138.40409375
transcript.pyannote[835].end 12139.38284375
transcript.pyannote[836].speaker SPEAKER_21
transcript.pyannote[836].start 12139.88909375
transcript.pyannote[836].end 12141.10409375
transcript.pyannote[837].speaker SPEAKER_21
transcript.pyannote[837].start 12142.06596875
transcript.pyannote[837].end 12143.78721875
transcript.pyannote[838].speaker SPEAKER_21
transcript.pyannote[838].start 12144.51284375
transcript.pyannote[838].end 12146.09909375
transcript.pyannote[839].speaker SPEAKER_21
transcript.pyannote[839].start 12147.55034375
transcript.pyannote[839].end 12148.20846875
transcript.pyannote[840].speaker SPEAKER_21
transcript.pyannote[840].start 12149.33909375
transcript.pyannote[840].end 12150.60471875
transcript.pyannote[841].speaker SPEAKER_21
transcript.pyannote[841].start 12151.39784375
transcript.pyannote[841].end 12152.61284375
transcript.pyannote[842].speaker SPEAKER_21
transcript.pyannote[842].start 12153.59159375
transcript.pyannote[842].end 12154.26659375
transcript.pyannote[843].speaker SPEAKER_21
transcript.pyannote[843].start 12154.70534375
transcript.pyannote[843].end 12155.41409375
transcript.pyannote[844].speaker SPEAKER_21
transcript.pyannote[844].start 12156.40971875
transcript.pyannote[844].end 12158.56971875
transcript.pyannote[845].speaker SPEAKER_21
transcript.pyannote[845].start 12159.66659375
transcript.pyannote[845].end 12160.74659375
transcript.pyannote[846].speaker SPEAKER_21
transcript.pyannote[846].start 12161.89409375
transcript.pyannote[846].end 12163.95284375
transcript.pyannote[847].speaker SPEAKER_21
transcript.pyannote[847].start 12164.98221875
transcript.pyannote[847].end 12166.02846875
transcript.pyannote[848].speaker SPEAKER_21
transcript.pyannote[848].start 12166.85534375
transcript.pyannote[848].end 12169.31909375
transcript.pyannote[849].speaker SPEAKER_21
transcript.pyannote[849].start 12170.24721875
transcript.pyannote[849].end 12171.24284375
transcript.pyannote[850].speaker SPEAKER_21
transcript.pyannote[850].start 12172.01909375
transcript.pyannote[850].end 12174.48284375
transcript.pyannote[851].speaker SPEAKER_21
transcript.pyannote[851].start 12175.20846875
transcript.pyannote[851].end 12175.91721875
transcript.pyannote[852].speaker SPEAKER_21
transcript.pyannote[852].start 12176.62596875
transcript.pyannote[852].end 12177.21659375
transcript.pyannote[853].speaker SPEAKER_21
transcript.pyannote[853].start 12177.87471875
transcript.pyannote[853].end 12178.83659375
transcript.pyannote[854].speaker SPEAKER_21
transcript.pyannote[854].start 12179.49471875
transcript.pyannote[854].end 12180.50721875
transcript.pyannote[855].speaker SPEAKER_21
transcript.pyannote[855].start 12181.26659375
transcript.pyannote[855].end 12182.41409375
transcript.pyannote[856].speaker SPEAKER_21
transcript.pyannote[856].start 12183.00471875
transcript.pyannote[856].end 12183.71346875
transcript.pyannote[857].speaker SPEAKER_21
transcript.pyannote[857].start 12184.18596875
transcript.pyannote[857].end 12185.90721875
transcript.pyannote[858].speaker SPEAKER_21
transcript.pyannote[858].start 12186.63284375
transcript.pyannote[858].end 12187.84784375
transcript.pyannote[859].speaker SPEAKER_21
transcript.pyannote[859].start 12188.74221875
transcript.pyannote[859].end 12191.17221875
transcript.pyannote[860].speaker SPEAKER_21
transcript.pyannote[860].start 12191.71221875
transcript.pyannote[860].end 12192.67409375
transcript.pyannote[861].speaker SPEAKER_21
transcript.pyannote[861].start 12192.80909375
transcript.pyannote[861].end 12193.93971875
transcript.pyannote[862].speaker SPEAKER_21
transcript.pyannote[862].start 12194.83409375
transcript.pyannote[862].end 12195.45846875
transcript.pyannote[863].speaker SPEAKER_21
transcript.pyannote[863].start 12196.60596875
transcript.pyannote[863].end 12197.80409375
transcript.pyannote[864].speaker SPEAKER_21
transcript.pyannote[864].start 12198.46221875
transcript.pyannote[864].end 12199.08659375
transcript.pyannote[865].speaker SPEAKER_21
transcript.pyannote[865].start 12199.60971875
transcript.pyannote[865].end 12200.23409375
transcript.pyannote[866].speaker SPEAKER_21
transcript.pyannote[866].start 12200.43659375
transcript.pyannote[866].end 12201.06096875
transcript.pyannote[867].speaker SPEAKER_09
transcript.pyannote[867].start 12201.06096875
transcript.pyannote[867].end 12201.07784375
transcript.pyannote[868].speaker SPEAKER_09
transcript.pyannote[868].start 12202.98471875
transcript.pyannote[868].end 12207.77721875
transcript.pyannote[869].speaker SPEAKER_09
transcript.pyannote[869].start 12208.26659375
transcript.pyannote[869].end 12215.53971875
transcript.pyannote[870].speaker SPEAKER_09
transcript.pyannote[870].start 21450.82221875
transcript.pyannote[870].end 21464.76096875
transcript.pyannote[871].speaker SPEAKER_03
transcript.pyannote[871].start 21482.66534375
transcript.pyannote[871].end 21485.61846875
transcript.pyannote[872].speaker SPEAKER_03
transcript.pyannote[872].start 21486.02346875
transcript.pyannote[872].end 21488.21721875
transcript.pyannote[873].speaker SPEAKER_09
transcript.pyannote[873].start 21489.06096875
transcript.pyannote[873].end 21491.54159375
transcript.pyannote[874].speaker SPEAKER_09
transcript.pyannote[874].start 21492.21659375
transcript.pyannote[874].end 21493.51596875
transcript.pyannote[875].speaker SPEAKER_06
transcript.pyannote[875].start 21506.99909375
transcript.pyannote[875].end 21509.98596875
transcript.pyannote[876].speaker SPEAKER_03
transcript.pyannote[876].start 21507.50534375
transcript.pyannote[876].end 21507.52221875
transcript.pyannote[877].speaker SPEAKER_03
transcript.pyannote[877].start 21507.57284375
transcript.pyannote[877].end 21507.58971875
transcript.pyannote[878].speaker SPEAKER_03
transcript.pyannote[878].start 21507.64034375
transcript.pyannote[878].end 21509.93534375
transcript.pyannote[879].speaker SPEAKER_03
transcript.pyannote[879].start 21509.98596875
transcript.pyannote[879].end 21510.10409375
transcript.pyannote[880].speaker SPEAKER_03
transcript.pyannote[880].start 21510.62721875
transcript.pyannote[880].end 21515.94284375
transcript.pyannote[881].speaker SPEAKER_03
transcript.pyannote[881].start 21516.14534375
transcript.pyannote[881].end 21518.64284375
transcript.pyannote[882].speaker SPEAKER_03
transcript.pyannote[882].start 21518.92971875
transcript.pyannote[882].end 21520.06034375
transcript.pyannote[883].speaker SPEAKER_03
transcript.pyannote[883].start 21520.90409375
transcript.pyannote[883].end 21523.41846875
transcript.pyannote[884].speaker SPEAKER_03
transcript.pyannote[884].start 21523.77284375
transcript.pyannote[884].end 21528.14346875
transcript.pyannote[885].speaker SPEAKER_03
transcript.pyannote[885].start 21528.29534375
transcript.pyannote[885].end 21529.30784375
transcript.pyannote[886].speaker SPEAKER_03
transcript.pyannote[886].start 21529.47659375
transcript.pyannote[886].end 21531.50159375
transcript.pyannote[887].speaker SPEAKER_03
transcript.pyannote[887].start 21531.82221875
transcript.pyannote[887].end 21538.03221875
transcript.pyannote[888].speaker SPEAKER_00
transcript.pyannote[888].start 21532.10909375
transcript.pyannote[888].end 21532.27784375
transcript.pyannote[889].speaker SPEAKER_08
transcript.pyannote[889].start 21532.27784375
transcript.pyannote[889].end 21532.44659375
transcript.pyannote[890].speaker SPEAKER_00
transcript.pyannote[890].start 21532.44659375
transcript.pyannote[890].end 21532.53096875
transcript.pyannote[891].speaker SPEAKER_03
transcript.pyannote[891].start 21538.25159375
transcript.pyannote[891].end 21545.84534375
transcript.pyannote[892].speaker SPEAKER_03
transcript.pyannote[892].start 21545.87909375
transcript.pyannote[892].end 21549.32159375
transcript.pyannote[893].speaker SPEAKER_03
transcript.pyannote[893].start 21549.50721875
transcript.pyannote[893].end 21557.75909375
transcript.pyannote[894].speaker SPEAKER_03
transcript.pyannote[894].start 21557.79284375
transcript.pyannote[894].end 21560.23971875
transcript.pyannote[895].speaker SPEAKER_03
transcript.pyannote[895].start 21560.49284375
transcript.pyannote[895].end 21573.30096875
transcript.pyannote[896].speaker SPEAKER_03
transcript.pyannote[896].start 21573.52034375
transcript.pyannote[896].end 21575.68034375
transcript.pyannote[897].speaker SPEAKER_03
transcript.pyannote[897].start 21575.86596875
transcript.pyannote[897].end 21578.02596875
transcript.pyannote[898].speaker SPEAKER_03
transcript.pyannote[898].start 21578.05971875
transcript.pyannote[898].end 21582.48096875
transcript.pyannote[899].speaker SPEAKER_03
transcript.pyannote[899].start 21582.68346875
transcript.pyannote[899].end 21592.79159375
transcript.pyannote[900].speaker SPEAKER_03
transcript.pyannote[900].start 21592.97721875
transcript.pyannote[900].end 21600.73971875
transcript.pyannote[901].speaker SPEAKER_03
transcript.pyannote[901].start 21601.56659375
transcript.pyannote[901].end 21602.03909375
transcript.pyannote[902].speaker SPEAKER_06
transcript.pyannote[902].start 21602.03909375
transcript.pyannote[902].end 21605.83596875
transcript.pyannote[903].speaker SPEAKER_03
transcript.pyannote[903].start 21605.83596875
transcript.pyannote[903].end 21608.08034375
transcript.pyannote[904].speaker SPEAKER_06
transcript.pyannote[904].start 21605.85284375
transcript.pyannote[904].end 21605.86971875
transcript.pyannote[905].speaker SPEAKER_05
transcript.pyannote[905].start 21605.86971875
transcript.pyannote[905].end 21608.56971875
transcript.pyannote[906].speaker SPEAKER_03
transcript.pyannote[906].start 21608.56971875
transcript.pyannote[906].end 21614.83034375
transcript.pyannote[907].speaker SPEAKER_03
transcript.pyannote[907].start 21615.06659375
transcript.pyannote[907].end 21616.60221875
transcript.pyannote[908].speaker SPEAKER_03
transcript.pyannote[908].start 21616.78784375
transcript.pyannote[908].end 21620.11221875
transcript.pyannote[909].speaker SPEAKER_03
transcript.pyannote[909].start 21620.63534375
transcript.pyannote[909].end 21625.30971875
transcript.pyannote[910].speaker SPEAKER_03
transcript.pyannote[910].start 21625.54596875
transcript.pyannote[910].end 21629.30909375
transcript.pyannote[911].speaker SPEAKER_03
transcript.pyannote[911].start 21629.44409375
transcript.pyannote[911].end 21636.36284375
transcript.pyannote[912].speaker SPEAKER_03
transcript.pyannote[912].start 21636.54846875
transcript.pyannote[912].end 21641.44221875
transcript.pyannote[913].speaker SPEAKER_03
transcript.pyannote[913].start 21641.57721875
transcript.pyannote[913].end 21642.87659375
transcript.pyannote[914].speaker SPEAKER_03
transcript.pyannote[914].start 21643.28159375
transcript.pyannote[914].end 21675.54659375
transcript.pyannote[915].speaker SPEAKER_03
transcript.pyannote[915].start 21675.83346875
transcript.pyannote[915].end 21691.20659375
transcript.pyannote[916].speaker SPEAKER_06
transcript.pyannote[916].start 21691.67909375
transcript.pyannote[916].end 21693.13034375
transcript.pyannote[917].speaker SPEAKER_06
transcript.pyannote[917].start 21693.58596875
transcript.pyannote[917].end 21696.04971875
transcript.pyannote[918].speaker SPEAKER_06
transcript.pyannote[918].start 21696.47159375
transcript.pyannote[918].end 21698.76659375
transcript.pyannote[919].speaker SPEAKER_06
transcript.pyannote[919].start 21698.98596875
transcript.pyannote[919].end 21700.26846875
transcript.pyannote[920].speaker SPEAKER_06
transcript.pyannote[920].start 21700.36971875
transcript.pyannote[920].end 21702.29346875
transcript.pyannote[921].speaker SPEAKER_06
transcript.pyannote[921].start 21702.73221875
transcript.pyannote[921].end 21704.92596875
transcript.pyannote[922].speaker SPEAKER_06
transcript.pyannote[922].start 21705.68534375
transcript.pyannote[922].end 21707.08596875
transcript.pyannote[923].speaker SPEAKER_06
transcript.pyannote[923].start 21707.33909375
transcript.pyannote[923].end 21710.19096875
transcript.pyannote[924].speaker SPEAKER_06
transcript.pyannote[924].start 21710.22471875
transcript.pyannote[924].end 21711.13596875
transcript.pyannote[925].speaker SPEAKER_06
transcript.pyannote[925].start 21711.55784375
transcript.pyannote[925].end 21714.07221875
transcript.pyannote[926].speaker SPEAKER_06
transcript.pyannote[926].start 21714.54471875
transcript.pyannote[926].end 21717.34596875
transcript.pyannote[927].speaker SPEAKER_06
transcript.pyannote[927].start 21717.93659375
transcript.pyannote[927].end 21719.75909375
transcript.pyannote[928].speaker SPEAKER_06
transcript.pyannote[928].start 21719.97846875
transcript.pyannote[928].end 21721.17659375
transcript.pyannote[929].speaker SPEAKER_06
transcript.pyannote[929].start 21721.78409375
transcript.pyannote[929].end 21722.69534375
transcript.pyannote[930].speaker SPEAKER_06
transcript.pyannote[930].start 21722.96534375
transcript.pyannote[930].end 21723.74159375
transcript.pyannote[931].speaker SPEAKER_06
transcript.pyannote[931].start 21723.85971875
transcript.pyannote[931].end 21724.55159375
transcript.pyannote[932].speaker SPEAKER_06
transcript.pyannote[932].start 21724.66971875
transcript.pyannote[932].end 21728.70284375
transcript.pyannote[933].speaker SPEAKER_06
transcript.pyannote[933].start 21729.00659375
transcript.pyannote[933].end 21737.32596875
transcript.pyannote[934].speaker SPEAKER_03
transcript.pyannote[934].start 21734.57534375
transcript.pyannote[934].end 21747.77159375
transcript.pyannote[935].speaker SPEAKER_03
transcript.pyannote[935].start 21748.17659375
transcript.pyannote[935].end 21764.54534375
transcript.pyannote[936].speaker SPEAKER_03
transcript.pyannote[936].start 21764.76471875
transcript.pyannote[936].end 21766.68846875
transcript.pyannote[937].speaker SPEAKER_06
transcript.pyannote[937].start 21768.46034375
transcript.pyannote[937].end 21769.11846875
transcript.pyannote[938].speaker SPEAKER_06
transcript.pyannote[938].start 21769.37159375
transcript.pyannote[938].end 21773.21909375
transcript.pyannote[939].speaker SPEAKER_06
transcript.pyannote[939].start 21773.33721875
transcript.pyannote[939].end 21778.93971875
transcript.pyannote[940].speaker SPEAKER_06
transcript.pyannote[940].start 21779.26034375
transcript.pyannote[940].end 21779.64846875
transcript.pyannote[941].speaker SPEAKER_06
transcript.pyannote[941].start 21780.07034375
transcript.pyannote[941].end 21784.03596875
transcript.pyannote[942].speaker SPEAKER_03
transcript.pyannote[942].start 21782.29784375
transcript.pyannote[942].end 21787.34346875
transcript.pyannote[943].speaker SPEAKER_07
transcript.pyannote[943].start 21784.03596875
transcript.pyannote[943].end 21786.46596875
transcript.pyannote[944].speaker SPEAKER_07
transcript.pyannote[944].start 21786.66846875
transcript.pyannote[944].end 21824.80596875
transcript.pyannote[945].speaker SPEAKER_03
transcript.pyannote[945].start 21820.75596875
transcript.pyannote[945].end 21822.61221875
transcript.pyannote[946].speaker SPEAKER_03
transcript.pyannote[946].start 21823.59096875
transcript.pyannote[946].end 21849.20721875
transcript.pyannote[947].speaker SPEAKER_03
transcript.pyannote[947].start 21849.49409375
transcript.pyannote[947].end 21849.86534375
transcript.pyannote[948].speaker SPEAKER_03
transcript.pyannote[948].start 21850.57409375
transcript.pyannote[948].end 21856.26096875
transcript.pyannote[949].speaker SPEAKER_03
transcript.pyannote[949].start 21856.36221875
transcript.pyannote[949].end 21868.29284375
transcript.pyannote[950].speaker SPEAKER_03
transcript.pyannote[950].start 21868.68096875
transcript.pyannote[950].end 21878.02971875
transcript.pyannote[951].speaker SPEAKER_21
transcript.pyannote[951].start 21872.83221875
transcript.pyannote[951].end 21872.89971875
transcript.pyannote[952].speaker SPEAKER_07
transcript.pyannote[952].start 21872.89971875
transcript.pyannote[952].end 21873.18659375
transcript.pyannote[953].speaker SPEAKER_21
transcript.pyannote[953].start 21873.18659375
transcript.pyannote[953].end 21873.25409375
transcript.pyannote[954].speaker SPEAKER_07
transcript.pyannote[954].start 21875.39721875
transcript.pyannote[954].end 21875.85284375
transcript.pyannote[955].speaker SPEAKER_07
transcript.pyannote[955].start 21878.02971875
transcript.pyannote[955].end 21897.80721875
transcript.pyannote[956].speaker SPEAKER_03
transcript.pyannote[956].start 21898.16159375
transcript.pyannote[956].end 21905.83971875
transcript.pyannote[957].speaker SPEAKER_03
transcript.pyannote[957].start 21905.92409375
transcript.pyannote[957].end 21910.14284375
transcript.pyannote[958].speaker SPEAKER_03
transcript.pyannote[958].start 21910.81784375
transcript.pyannote[958].end 21913.06221875
transcript.pyannote[959].speaker SPEAKER_03
transcript.pyannote[959].start 21913.29846875
transcript.pyannote[959].end 21931.60784375
transcript.pyannote[960].speaker SPEAKER_03
transcript.pyannote[960].start 21932.24909375
transcript.pyannote[960].end 21949.32659375
transcript.pyannote[961].speaker SPEAKER_03
transcript.pyannote[961].start 21950.00159375
transcript.pyannote[961].end 21950.74409375
transcript.pyannote[962].speaker SPEAKER_03
transcript.pyannote[962].start 21950.89596875
transcript.pyannote[962].end 21961.45971875
transcript.pyannote[963].speaker SPEAKER_03
transcript.pyannote[963].start 21961.64534375
transcript.pyannote[963].end 21979.71846875
transcript.pyannote[964].speaker SPEAKER_07
transcript.pyannote[964].start 21979.92096875
transcript.pyannote[964].end 21985.64159375
transcript.pyannote[965].speaker SPEAKER_07
transcript.pyannote[965].start 21986.09721875
transcript.pyannote[965].end 22006.95471875
transcript.pyannote[966].speaker SPEAKER_08
transcript.pyannote[966].start 22001.55471875
transcript.pyannote[966].end 22001.58846875
transcript.pyannote[967].speaker SPEAKER_03
transcript.pyannote[967].start 22001.58846875
transcript.pyannote[967].end 22028.70659375
transcript.pyannote[968].speaker SPEAKER_00
transcript.pyannote[968].start 22014.09284375
transcript.pyannote[968].end 22014.36284375
transcript.pyannote[969].speaker SPEAKER_11
transcript.pyannote[969].start 22015.45971875
transcript.pyannote[969].end 22015.74659375
transcript.pyannote[970].speaker SPEAKER_03
transcript.pyannote[970].start 22029.09471875
transcript.pyannote[970].end 22032.77346875
transcript.pyannote[971].speaker SPEAKER_01
transcript.pyannote[971].start 22029.33096875
transcript.pyannote[971].end 22029.97221875
transcript.pyannote[972].speaker SPEAKER_07
transcript.pyannote[972].start 22032.77346875
transcript.pyannote[972].end 22044.02909375
transcript.pyannote[973].speaker SPEAKER_03
transcript.pyannote[973].start 22041.43034375
transcript.pyannote[973].end 22048.45034375
transcript.pyannote[974].speaker SPEAKER_03
transcript.pyannote[974].start 22048.85534375
transcript.pyannote[974].end 22049.44596875
transcript.pyannote[975].speaker SPEAKER_03
transcript.pyannote[975].start 22049.63159375
transcript.pyannote[975].end 22062.91221875
transcript.pyannote[976].speaker SPEAKER_07
transcript.pyannote[976].start 22051.04909375
transcript.pyannote[976].end 22055.13284375
transcript.pyannote[977].speaker SPEAKER_07
transcript.pyannote[977].start 22055.38596875
transcript.pyannote[977].end 22062.35534375
transcript.pyannote[978].speaker SPEAKER_03
transcript.pyannote[978].start 22063.33409375
transcript.pyannote[978].end 22069.89846875
transcript.pyannote[979].speaker SPEAKER_03
transcript.pyannote[979].start 22070.18534375
transcript.pyannote[979].end 22083.46596875
transcript.pyannote[980].speaker SPEAKER_03
transcript.pyannote[980].start 22083.76971875
transcript.pyannote[980].end 22088.29221875
transcript.pyannote[981].speaker SPEAKER_03
transcript.pyannote[981].start 22088.79846875
transcript.pyannote[981].end 22097.06721875
transcript.pyannote[982].speaker SPEAKER_03
transcript.pyannote[982].start 22097.40471875
transcript.pyannote[982].end 22110.04409375
transcript.pyannote[983].speaker SPEAKER_03
transcript.pyannote[983].start 22110.19596875
transcript.pyannote[983].end 22116.03471875
transcript.pyannote[984].speaker SPEAKER_06
transcript.pyannote[984].start 22116.03471875
transcript.pyannote[984].end 22117.53659375
transcript.pyannote[985].speaker SPEAKER_03
transcript.pyannote[985].start 22116.62534375
transcript.pyannote[985].end 22117.11471875
transcript.pyannote[986].speaker SPEAKER_11
transcript.pyannote[986].start 22117.11471875
transcript.pyannote[986].end 22117.21596875
transcript.pyannote[987].speaker SPEAKER_03
transcript.pyannote[987].start 22117.21596875
transcript.pyannote[987].end 22117.30034375
transcript.pyannote[988].speaker SPEAKER_11
transcript.pyannote[988].start 22117.30034375
transcript.pyannote[988].end 22117.38471875
transcript.pyannote[989].speaker SPEAKER_06
transcript.pyannote[989].start 22117.95846875
transcript.pyannote[989].end 22121.77221875
transcript.pyannote[990].speaker SPEAKER_06
transcript.pyannote[990].start 22122.39659375
transcript.pyannote[990].end 22126.12596875
transcript.pyannote[991].speaker SPEAKER_06
transcript.pyannote[991].start 22126.61534375
transcript.pyannote[991].end 22149.97034375
transcript.pyannote[992].speaker SPEAKER_08
transcript.pyannote[992].start 22135.62659375
transcript.pyannote[992].end 22137.09471875
transcript.pyannote[993].speaker SPEAKER_03
transcript.pyannote[993].start 22146.86534375
transcript.pyannote[993].end 22150.93221875
transcript.pyannote[994].speaker SPEAKER_03
transcript.pyannote[994].start 22151.37096875
transcript.pyannote[994].end 22158.44159375
transcript.pyannote[995].speaker SPEAKER_03
transcript.pyannote[995].start 22159.06596875
transcript.pyannote[995].end 22161.51284375
transcript.pyannote[996].speaker SPEAKER_03
transcript.pyannote[996].start 22162.17096875
transcript.pyannote[996].end 22162.54221875
transcript.pyannote[997].speaker SPEAKER_03
transcript.pyannote[997].start 22163.06534375
transcript.pyannote[997].end 22166.60909375
transcript.pyannote[998].speaker SPEAKER_03
transcript.pyannote[998].start 22167.09846875
transcript.pyannote[998].end 22181.72909375
transcript.pyannote[999].speaker SPEAKER_03
transcript.pyannote[999].start 22181.83034375
transcript.pyannote[999].end 22183.51784375
transcript.pyannote[1000].speaker SPEAKER_03
transcript.pyannote[1000].start 22183.97346875
transcript.pyannote[1000].end 22184.90159375
transcript.pyannote[1001].speaker SPEAKER_03
transcript.pyannote[1001].start 22185.22221875
transcript.pyannote[1001].end 22191.41534375
transcript.pyannote[1002].speaker SPEAKER_03
transcript.pyannote[1002].start 22191.53346875
transcript.pyannote[1002].end 22195.60034375
transcript.pyannote[1003].speaker SPEAKER_03
transcript.pyannote[1003].start 22195.93784375
transcript.pyannote[1003].end 22197.15284375
transcript.pyannote[1004].speaker SPEAKER_15
transcript.pyannote[1004].start 22197.69284375
transcript.pyannote[1004].end 22221.08159375
transcript.pyannote[1005].speaker SPEAKER_15
transcript.pyannote[1005].start 22221.60471875
transcript.pyannote[1005].end 22239.40784375
transcript.pyannote[1006].speaker SPEAKER_03
transcript.pyannote[1006].start 22225.92471875
transcript.pyannote[1006].end 22227.96659375
transcript.pyannote[1007].speaker SPEAKER_00
transcript.pyannote[1007].start 22227.96659375
transcript.pyannote[1007].end 22228.50659375
transcript.pyannote[1008].speaker SPEAKER_03
transcript.pyannote[1008].start 22234.64909375
transcript.pyannote[1008].end 22234.85159375
transcript.pyannote[1009].speaker SPEAKER_03
transcript.pyannote[1009].start 22237.39971875
transcript.pyannote[1009].end 22237.48409375
transcript.pyannote[1010].speaker SPEAKER_03
transcript.pyannote[1010].start 22238.47971875
transcript.pyannote[1010].end 22245.61784375
transcript.pyannote[1011].speaker SPEAKER_15
transcript.pyannote[1011].start 22242.73221875
transcript.pyannote[1011].end 22243.00221875
transcript.pyannote[1012].speaker SPEAKER_03
transcript.pyannote[1012].start 22245.97221875
transcript.pyannote[1012].end 22249.26284375
transcript.pyannote[1013].speaker SPEAKER_03
transcript.pyannote[1013].start 22249.49909375
transcript.pyannote[1013].end 22277.51159375
transcript.pyannote[1014].speaker SPEAKER_00
transcript.pyannote[1014].start 22253.00909375
transcript.pyannote[1014].end 22253.02596875
transcript.pyannote[1015].speaker SPEAKER_11
transcript.pyannote[1015].start 22253.02596875
transcript.pyannote[1015].end 22253.66721875
transcript.pyannote[1016].speaker SPEAKER_00
transcript.pyannote[1016].start 22253.66721875
transcript.pyannote[1016].end 22253.68409375
transcript.pyannote[1017].speaker SPEAKER_15
transcript.pyannote[1017].start 22278.03471875
transcript.pyannote[1017].end 22283.87346875
transcript.pyannote[1018].speaker SPEAKER_03
transcript.pyannote[1018].start 22282.57409375
transcript.pyannote[1018].end 22300.76534375
transcript.pyannote[1019].speaker SPEAKER_15
transcript.pyannote[1019].start 22285.05471875
transcript.pyannote[1019].end 22285.57784375
transcript.pyannote[1020].speaker SPEAKER_15
transcript.pyannote[1020].start 22285.79721875
transcript.pyannote[1020].end 22285.93221875
transcript.pyannote[1021].speaker SPEAKER_15
transcript.pyannote[1021].start 22300.14096875
transcript.pyannote[1021].end 22304.03909375
transcript.pyannote[1022].speaker SPEAKER_03
transcript.pyannote[1022].start 22303.26284375
transcript.pyannote[1022].end 22326.97221875
transcript.pyannote[1023].speaker SPEAKER_10
transcript.pyannote[1023].start 22321.53846875
transcript.pyannote[1023].end 22321.82534375
transcript.pyannote[1024].speaker SPEAKER_03
transcript.pyannote[1024].start 22327.57971875
transcript.pyannote[1024].end 22328.76096875
transcript.pyannote[1025].speaker SPEAKER_15
transcript.pyannote[1025].start 22328.76096875
transcript.pyannote[1025].end 22328.81159375
transcript.pyannote[1026].speaker SPEAKER_15
transcript.pyannote[1026].start 22329.01409375
transcript.pyannote[1026].end 22329.60471875
transcript.pyannote[1027].speaker SPEAKER_15
transcript.pyannote[1027].start 22329.84096875
transcript.pyannote[1027].end 22347.81284375
transcript.pyannote[1028].speaker SPEAKER_03
transcript.pyannote[1028].start 22345.41659375
transcript.pyannote[1028].end 22345.97346875
transcript.pyannote[1029].speaker SPEAKER_03
transcript.pyannote[1029].start 22347.15471875
transcript.pyannote[1029].end 22350.59721875
transcript.pyannote[1030].speaker SPEAKER_03
transcript.pyannote[1030].start 22351.15409375
transcript.pyannote[1030].end 22362.73034375
transcript.pyannote[1031].speaker SPEAKER_00
transcript.pyannote[1031].start 22353.98909375
transcript.pyannote[1031].end 22354.56284375
transcript.pyannote[1032].speaker SPEAKER_15
transcript.pyannote[1032].start 22354.56284375
transcript.pyannote[1032].end 22354.73159375
transcript.pyannote[1033].speaker SPEAKER_00
transcript.pyannote[1033].start 22354.73159375
transcript.pyannote[1033].end 22354.78221875
transcript.pyannote[1034].speaker SPEAKER_15
transcript.pyannote[1034].start 22354.78221875
transcript.pyannote[1034].end 22354.79909375
transcript.pyannote[1035].speaker SPEAKER_15
transcript.pyannote[1035].start 22355.25471875
transcript.pyannote[1035].end 22355.96346875
transcript.pyannote[1036].speaker SPEAKER_00
transcript.pyannote[1036].start 22355.96346875
transcript.pyannote[1036].end 22356.06471875
transcript.pyannote[1037].speaker SPEAKER_03
transcript.pyannote[1037].start 22363.03409375
transcript.pyannote[1037].end 22388.11034375
transcript.pyannote[1038].speaker SPEAKER_00
transcript.pyannote[1038].start 22376.02784375
transcript.pyannote[1038].end 22376.23034375
transcript.pyannote[1039].speaker SPEAKER_00
transcript.pyannote[1039].start 22379.06534375
transcript.pyannote[1039].end 22379.60534375
transcript.pyannote[1040].speaker SPEAKER_03
transcript.pyannote[1040].start 22388.39721875
transcript.pyannote[1040].end 22394.47221875
transcript.pyannote[1041].speaker SPEAKER_03
transcript.pyannote[1041].start 22394.64096875
transcript.pyannote[1041].end 22406.03159375
transcript.pyannote[1042].speaker SPEAKER_03
transcript.pyannote[1042].start 22406.04846875
transcript.pyannote[1042].end 22407.19596875
transcript.pyannote[1043].speaker SPEAKER_03
transcript.pyannote[1043].start 22407.80346875
transcript.pyannote[1043].end 22407.92159375
transcript.pyannote[1044].speaker SPEAKER_03
transcript.pyannote[1044].start 22408.24221875
transcript.pyannote[1044].end 22432.76159375
transcript.pyannote[1045].speaker SPEAKER_03
transcript.pyannote[1045].start 22433.08221875
transcript.pyannote[1045].end 22437.90846875
transcript.pyannote[1046].speaker SPEAKER_03
transcript.pyannote[1046].start 22438.66784375
transcript.pyannote[1046].end 22457.48346875
transcript.pyannote[1047].speaker SPEAKER_03
transcript.pyannote[1047].start 22457.66909375
transcript.pyannote[1047].end 22469.00909375
transcript.pyannote[1048].speaker SPEAKER_03
transcript.pyannote[1048].start 22469.93721875
transcript.pyannote[1048].end 22481.12534375
transcript.pyannote[1049].speaker SPEAKER_03
transcript.pyannote[1049].start 22481.63159375
transcript.pyannote[1049].end 22482.08721875
transcript.pyannote[1050].speaker SPEAKER_03
transcript.pyannote[1050].start 22482.39096875
transcript.pyannote[1050].end 22485.36096875
transcript.pyannote[1051].speaker SPEAKER_03
transcript.pyannote[1051].start 22485.81659375
transcript.pyannote[1051].end 22487.23409375
transcript.pyannote[1052].speaker SPEAKER_03
transcript.pyannote[1052].start 22487.47034375
transcript.pyannote[1052].end 22491.90846875
transcript.pyannote[1053].speaker SPEAKER_03
transcript.pyannote[1053].start 22492.60034375
transcript.pyannote[1053].end 22498.03409375
transcript.pyannote[1054].speaker SPEAKER_03
transcript.pyannote[1054].start 22498.48971875
transcript.pyannote[1054].end 22498.92846875
transcript.pyannote[1055].speaker SPEAKER_03
transcript.pyannote[1055].start 22499.24909375
transcript.pyannote[1055].end 22502.62409375
transcript.pyannote[1056].speaker SPEAKER_03
transcript.pyannote[1056].start 22502.80971875
transcript.pyannote[1056].end 22504.96971875
transcript.pyannote[1057].speaker SPEAKER_03
transcript.pyannote[1057].start 22505.25659375
transcript.pyannote[1057].end 22505.50971875
transcript.pyannote[1058].speaker SPEAKER_03
transcript.pyannote[1058].start 22505.81346875
transcript.pyannote[1058].end 22510.89284375
transcript.pyannote[1059].speaker SPEAKER_03
transcript.pyannote[1059].start 22511.16284375
transcript.pyannote[1059].end 22514.28471875
transcript.pyannote[1060].speaker SPEAKER_03
transcript.pyannote[1060].start 22514.50409375
transcript.pyannote[1060].end 22531.22721875
transcript.pyannote[1061].speaker SPEAKER_03
transcript.pyannote[1061].start 22531.46346875
transcript.pyannote[1061].end 22533.85971875
transcript.pyannote[1062].speaker SPEAKER_03
transcript.pyannote[1062].start 22534.06221875
transcript.pyannote[1062].end 22539.02346875
transcript.pyannote[1063].speaker SPEAKER_03
transcript.pyannote[1063].start 22539.19221875
transcript.pyannote[1063].end 22542.28034375
transcript.pyannote[1064].speaker SPEAKER_03
transcript.pyannote[1064].start 22543.03971875
transcript.pyannote[1064].end 22546.54971875
transcript.pyannote[1065].speaker SPEAKER_03
transcript.pyannote[1065].start 22546.68471875
transcript.pyannote[1065].end 22551.24096875
transcript.pyannote[1066].speaker SPEAKER_03
transcript.pyannote[1066].start 22551.39284375
transcript.pyannote[1066].end 22558.21034375
transcript.pyannote[1067].speaker SPEAKER_03
transcript.pyannote[1067].start 22558.24409375
transcript.pyannote[1067].end 22565.01096875
transcript.pyannote[1068].speaker SPEAKER_03
transcript.pyannote[1068].start 22565.53409375
transcript.pyannote[1068].end 22565.65221875
transcript.pyannote[1069].speaker SPEAKER_03
transcript.pyannote[1069].start 22565.77034375
transcript.pyannote[1069].end 22568.57159375
transcript.pyannote[1070].speaker SPEAKER_03
transcript.pyannote[1070].start 22568.75721875
transcript.pyannote[1070].end 22571.35596875
transcript.pyannote[1071].speaker SPEAKER_03
transcript.pyannote[1071].start 22571.64284375
transcript.pyannote[1071].end 22573.51596875
transcript.pyannote[1072].speaker SPEAKER_03
transcript.pyannote[1072].start 22574.03909375
transcript.pyannote[1072].end 22575.32159375
transcript.pyannote[1073].speaker SPEAKER_03
transcript.pyannote[1073].start 22576.36784375
transcript.pyannote[1073].end 22590.45846875
transcript.pyannote[1074].speaker SPEAKER_03
transcript.pyannote[1074].start 22590.74534375
transcript.pyannote[1074].end 22594.55909375
transcript.pyannote[1075].speaker SPEAKER_03
transcript.pyannote[1075].start 22594.98096875
transcript.pyannote[1075].end 22595.38596875
transcript.pyannote[1076].speaker SPEAKER_03
transcript.pyannote[1076].start 22595.58846875
transcript.pyannote[1076].end 22595.95971875
transcript.pyannote[1077].speaker SPEAKER_03
transcript.pyannote[1077].start 22596.49971875
transcript.pyannote[1077].end 22598.37284375
transcript.pyannote[1078].speaker SPEAKER_03
transcript.pyannote[1078].start 22598.71034375
transcript.pyannote[1078].end 22602.40596875
transcript.pyannote[1079].speaker SPEAKER_03
transcript.pyannote[1079].start 22602.81096875
transcript.pyannote[1079].end 22608.17721875
transcript.pyannote[1080].speaker SPEAKER_03
transcript.pyannote[1080].start 22608.43034375
transcript.pyannote[1080].end 22609.94909375
transcript.pyannote[1081].speaker SPEAKER_07
transcript.pyannote[1081].start 22610.35409375
transcript.pyannote[1081].end 22623.36471875
transcript.pyannote[1082].speaker SPEAKER_03
transcript.pyannote[1082].start 22619.34846875
transcript.pyannote[1082].end 22620.54659375
transcript.pyannote[1083].speaker SPEAKER_03
transcript.pyannote[1083].start 22621.13721875
transcript.pyannote[1083].end 22621.35659375
transcript.pyannote[1084].speaker SPEAKER_03
transcript.pyannote[1084].start 22621.42409375
transcript.pyannote[1084].end 22621.49159375
transcript.pyannote[1085].speaker SPEAKER_03
transcript.pyannote[1085].start 22623.49971875
transcript.pyannote[1085].end 22627.07721875
transcript.pyannote[1086].speaker SPEAKER_03
transcript.pyannote[1086].start 22627.29659375
transcript.pyannote[1086].end 22631.92034375
transcript.pyannote[1087].speaker SPEAKER_03
transcript.pyannote[1087].start 22631.97096875
transcript.pyannote[1087].end 22634.87346875
transcript.pyannote[1088].speaker SPEAKER_03
transcript.pyannote[1088].start 22635.10971875
transcript.pyannote[1088].end 22650.44909375
transcript.pyannote[1089].speaker SPEAKER_03
transcript.pyannote[1089].start 22650.60096875
transcript.pyannote[1089].end 22666.37909375
transcript.pyannote[1090].speaker SPEAKER_03
transcript.pyannote[1090].start 22667.02034375
transcript.pyannote[1090].end 22670.74971875
transcript.pyannote[1091].speaker SPEAKER_03
transcript.pyannote[1091].start 22671.03659375
transcript.pyannote[1091].end 22674.31034375
transcript.pyannote[1092].speaker SPEAKER_03
transcript.pyannote[1092].start 22674.36096875
transcript.pyannote[1092].end 22676.94284375
transcript.pyannote[1093].speaker SPEAKER_03
transcript.pyannote[1093].start 22677.01034375
transcript.pyannote[1093].end 22678.91721875
transcript.pyannote[1094].speaker SPEAKER_03
transcript.pyannote[1094].start 22679.32221875
transcript.pyannote[1094].end 22679.87909375
transcript.pyannote[1095].speaker SPEAKER_03
transcript.pyannote[1095].start 22680.67221875
transcript.pyannote[1095].end 22683.91221875
transcript.pyannote[1096].speaker SPEAKER_03
transcript.pyannote[1096].start 22684.21596875
transcript.pyannote[1096].end 22699.04909375
transcript.pyannote[1097].speaker SPEAKER_03
transcript.pyannote[1097].start 22699.50471875
transcript.pyannote[1097].end 22718.89409375
transcript.pyannote[1098].speaker SPEAKER_03
transcript.pyannote[1098].start 22719.24846875
transcript.pyannote[1098].end 22721.99909375
transcript.pyannote[1099].speaker SPEAKER_03
transcript.pyannote[1099].start 22722.25221875
transcript.pyannote[1099].end 22734.40221875
transcript.pyannote[1100].speaker SPEAKER_03
transcript.pyannote[1100].start 22734.75659375
transcript.pyannote[1100].end 22742.56971875
transcript.pyannote[1101].speaker SPEAKER_03
transcript.pyannote[1101].start 22743.27846875
transcript.pyannote[1101].end 22758.02721875
transcript.pyannote[1102].speaker SPEAKER_03
transcript.pyannote[1102].start 22758.31409375
transcript.pyannote[1102].end 22766.86971875
transcript.pyannote[1103].speaker SPEAKER_03
transcript.pyannote[1103].start 22767.61221875
transcript.pyannote[1103].end 22769.97471875
transcript.pyannote[1104].speaker SPEAKER_06
transcript.pyannote[1104].start 22769.97471875
transcript.pyannote[1104].end 22787.11971875
transcript.pyannote[1105].speaker SPEAKER_03
transcript.pyannote[1105].start 22774.95284375
transcript.pyannote[1105].end 22776.21846875
transcript.pyannote[1106].speaker SPEAKER_11
transcript.pyannote[1106].start 22776.21846875
transcript.pyannote[1106].end 22776.23534375
transcript.pyannote[1107].speaker SPEAKER_06
transcript.pyannote[1107].start 22787.69346875
transcript.pyannote[1107].end 22798.83096875
transcript.pyannote[1108].speaker SPEAKER_03
transcript.pyannote[1108].start 22794.83159375
transcript.pyannote[1108].end 22808.63534375
transcript.pyannote[1109].speaker SPEAKER_06
transcript.pyannote[1109].start 22799.86034375
transcript.pyannote[1109].end 22800.33284375
transcript.pyannote[1110].speaker SPEAKER_06
transcript.pyannote[1110].start 22806.84659375
transcript.pyannote[1110].end 22818.96284375
transcript.pyannote[1111].speaker SPEAKER_03
transcript.pyannote[1111].start 22815.21659375
transcript.pyannote[1111].end 22818.01784375
transcript.pyannote[1112].speaker SPEAKER_03
transcript.pyannote[1112].start 22818.96284375
transcript.pyannote[1112].end 22834.21784375
transcript.pyannote[1113].speaker SPEAKER_03
transcript.pyannote[1113].start 22834.58909375
transcript.pyannote[1113].end 22844.03909375
transcript.pyannote[1114].speaker SPEAKER_03
transcript.pyannote[1114].start 22844.19096875
transcript.pyannote[1114].end 22845.45659375
transcript.pyannote[1115].speaker SPEAKER_03
transcript.pyannote[1115].start 22845.91221875
transcript.pyannote[1115].end 22847.88659375
transcript.pyannote[1116].speaker SPEAKER_03
transcript.pyannote[1116].start 22848.07221875
transcript.pyannote[1116].end 22849.27034375
transcript.pyannote[1117].speaker SPEAKER_03
transcript.pyannote[1117].start 22849.54034375
transcript.pyannote[1117].end 22865.47034375
transcript.pyannote[1118].speaker SPEAKER_19
transcript.pyannote[1118].start 22852.99971875
transcript.pyannote[1118].end 22854.97409375
transcript.pyannote[1119].speaker SPEAKER_19
transcript.pyannote[1119].start 22855.00784375
transcript.pyannote[1119].end 22855.46346875
transcript.pyannote[1120].speaker SPEAKER_15
transcript.pyannote[1120].start 22855.46346875
transcript.pyannote[1120].end 22855.69971875
transcript.pyannote[1121].speaker SPEAKER_03
transcript.pyannote[1121].start 22866.14534375
transcript.pyannote[1121].end 22867.24221875
transcript.pyannote[1122].speaker SPEAKER_03
transcript.pyannote[1122].start 22867.32659375
transcript.pyannote[1122].end 22870.38096875
transcript.pyannote[1123].speaker SPEAKER_03
transcript.pyannote[1123].start 22870.66784375
transcript.pyannote[1123].end 22873.33409375
transcript.pyannote[1124].speaker SPEAKER_03
transcript.pyannote[1124].start 22873.68846875
transcript.pyannote[1124].end 22875.66284375
transcript.pyannote[1125].speaker SPEAKER_03
transcript.pyannote[1125].start 22875.86534375
transcript.pyannote[1125].end 22896.79034375
transcript.pyannote[1126].speaker SPEAKER_03
transcript.pyannote[1126].start 22897.14471875
transcript.pyannote[1126].end 22898.24159375
transcript.pyannote[1127].speaker SPEAKER_03
transcript.pyannote[1127].start 22898.27534375
transcript.pyannote[1127].end 22905.05909375
transcript.pyannote[1128].speaker SPEAKER_03
transcript.pyannote[1128].start 22905.41346875
transcript.pyannote[1128].end 22908.77159375
transcript.pyannote[1129].speaker SPEAKER_03
transcript.pyannote[1129].start 22909.29471875
transcript.pyannote[1129].end 22914.18846875
transcript.pyannote[1130].speaker SPEAKER_03
transcript.pyannote[1130].start 22914.86346875
transcript.pyannote[1130].end 22924.54971875
transcript.pyannote[1131].speaker SPEAKER_03
transcript.pyannote[1131].start 22924.80284375
transcript.pyannote[1131].end 22926.05159375
transcript.pyannote[1132].speaker SPEAKER_03
transcript.pyannote[1132].start 22926.13596875
transcript.pyannote[1132].end 22930.16909375
transcript.pyannote[1133].speaker SPEAKER_03
transcript.pyannote[1133].start 22930.52346875
transcript.pyannote[1133].end 22931.99159375
transcript.pyannote[1134].speaker SPEAKER_03
transcript.pyannote[1134].start 22932.16034375
transcript.pyannote[1134].end 22934.43846875
transcript.pyannote[1135].speaker SPEAKER_03
transcript.pyannote[1135].start 22934.60721875
transcript.pyannote[1135].end 22938.74159375
transcript.pyannote[1136].speaker SPEAKER_03
transcript.pyannote[1136].start 22938.82596875
transcript.pyannote[1136].end 22939.23096875
transcript.pyannote[1137].speaker SPEAKER_03
transcript.pyannote[1137].start 22939.66971875
transcript.pyannote[1137].end 22943.46659375
transcript.pyannote[1138].speaker SPEAKER_03
transcript.pyannote[1138].start 22944.02346875
transcript.pyannote[1138].end 22944.31034375
transcript.pyannote[1139].speaker SPEAKER_03
transcript.pyannote[1139].start 22944.71534375
transcript.pyannote[1139].end 22948.15784375
transcript.pyannote[1140].speaker SPEAKER_03
transcript.pyannote[1140].start 22948.59659375
transcript.pyannote[1140].end 22949.55846875
transcript.pyannote[1141].speaker SPEAKER_03
transcript.pyannote[1141].start 22950.19971875
transcript.pyannote[1141].end 22950.67221875
transcript.pyannote[1142].speaker SPEAKER_03
transcript.pyannote[1142].start 22951.70159375
transcript.pyannote[1142].end 22954.48596875
transcript.pyannote[1143].speaker SPEAKER_03
transcript.pyannote[1143].start 22955.05971875
transcript.pyannote[1143].end 22956.67971875
transcript.pyannote[1144].speaker SPEAKER_03
transcript.pyannote[1144].start 22957.13534375
transcript.pyannote[1144].end 22957.81034375
transcript.pyannote[1145].speaker SPEAKER_03
transcript.pyannote[1145].start 22958.26596875
transcript.pyannote[1145].end 22964.10471875
transcript.pyannote[1146].speaker SPEAKER_03
transcript.pyannote[1146].start 22964.54346875
transcript.pyannote[1146].end 22996.08284375
transcript.pyannote[1147].speaker SPEAKER_03
transcript.pyannote[1147].start 22996.74096875
transcript.pyannote[1147].end 22997.43284375
transcript.pyannote[1148].speaker SPEAKER_03
transcript.pyannote[1148].start 22997.61846875
transcript.pyannote[1148].end 23000.16659375
transcript.pyannote[1149].speaker SPEAKER_15
transcript.pyannote[1149].start 23000.63909375
transcript.pyannote[1149].end 23002.46159375
transcript.pyannote[1150].speaker SPEAKER_15
transcript.pyannote[1150].start 23002.64721875
transcript.pyannote[1150].end 23005.29659375
transcript.pyannote[1151].speaker SPEAKER_03
transcript.pyannote[1151].start 23005.27971875
transcript.pyannote[1151].end 23028.53346875
transcript.pyannote[1152].speaker SPEAKER_10
transcript.pyannote[1152].start 23017.80096875
transcript.pyannote[1152].end 23018.61096875
transcript.pyannote[1153].speaker SPEAKER_10
transcript.pyannote[1153].start 23019.47159375
transcript.pyannote[1153].end 23019.57284375
transcript.pyannote[1154].speaker SPEAKER_09
transcript.pyannote[1154].start 23024.02784375
transcript.pyannote[1154].end 23024.48346875
transcript.pyannote[1155].speaker SPEAKER_10
transcript.pyannote[1155].start 23024.48346875
transcript.pyannote[1155].end 23024.50034375
transcript.pyannote[1156].speaker SPEAKER_09
transcript.pyannote[1156].start 23028.76971875
transcript.pyannote[1156].end 23029.37721875
transcript.pyannote[1157].speaker SPEAKER_03
transcript.pyannote[1157].start 23029.37721875
transcript.pyannote[1157].end 23031.84096875
transcript.pyannote[1158].speaker SPEAKER_09
transcript.pyannote[1158].start 23029.57971875
transcript.pyannote[1158].end 23037.05534375
transcript.pyannote[1159].speaker SPEAKER_03
transcript.pyannote[1159].start 23032.00971875
transcript.pyannote[1159].end 23034.49034375
transcript.pyannote[1160].speaker SPEAKER_03
transcript.pyannote[1160].start 23036.85284375
transcript.pyannote[1160].end 23044.05846875
transcript.pyannote[1161].speaker SPEAKER_09
transcript.pyannote[1161].start 23037.69659375
transcript.pyannote[1161].end 23038.82721875
transcript.pyannote[1162].speaker SPEAKER_09
transcript.pyannote[1162].start 23040.19409375
transcript.pyannote[1162].end 23041.83096875
transcript.pyannote[1163].speaker SPEAKER_06
transcript.pyannote[1163].start 23041.83096875
transcript.pyannote[1163].end 23041.84784375
transcript.pyannote[1164].speaker SPEAKER_03
transcript.pyannote[1164].start 23044.37909375
transcript.pyannote[1164].end 23048.00721875
transcript.pyannote[1165].speaker SPEAKER_03
transcript.pyannote[1165].start 23048.29409375
transcript.pyannote[1165].end 23049.91409375
transcript.pyannote[1166].speaker SPEAKER_03
transcript.pyannote[1166].start 23050.13346875
transcript.pyannote[1166].end 23055.71909375
transcript.pyannote[1167].speaker SPEAKER_03
transcript.pyannote[1167].start 23056.22534375
transcript.pyannote[1167].end 23058.13221875
transcript.pyannote[1168].speaker SPEAKER_03
transcript.pyannote[1168].start 23058.31784375
transcript.pyannote[1168].end 23060.05596875
transcript.pyannote[1169].speaker SPEAKER_03
transcript.pyannote[1169].start 23060.39346875
transcript.pyannote[1169].end 23062.24971875
transcript.pyannote[1170].speaker SPEAKER_03
transcript.pyannote[1170].start 23062.67159375
transcript.pyannote[1170].end 23067.02534375
transcript.pyannote[1171].speaker SPEAKER_03
transcript.pyannote[1171].start 23068.34159375
transcript.pyannote[1171].end 23070.82221875
transcript.pyannote[1172].speaker SPEAKER_03
transcript.pyannote[1172].start 23071.04159375
transcript.pyannote[1172].end 23071.56471875
transcript.pyannote[1173].speaker SPEAKER_03
transcript.pyannote[1173].start 23072.45909375
transcript.pyannote[1173].end 23073.94409375
transcript.pyannote[1174].speaker SPEAKER_03
transcript.pyannote[1174].start 23074.29846875
transcript.pyannote[1174].end 23077.35284375
transcript.pyannote[1175].speaker SPEAKER_03
transcript.pyannote[1175].start 23078.04471875
transcript.pyannote[1175].end 23080.01909375
transcript.pyannote[1176].speaker SPEAKER_03
transcript.pyannote[1176].start 23080.62659375
transcript.pyannote[1176].end 23083.96784375
transcript.pyannote[1177].speaker SPEAKER_03
transcript.pyannote[1177].start 23084.76096875
transcript.pyannote[1177].end 23090.90346875
transcript.pyannote[1178].speaker SPEAKER_03
transcript.pyannote[1178].start 23091.27471875
transcript.pyannote[1178].end 23094.02534375
transcript.pyannote[1179].speaker SPEAKER_03
transcript.pyannote[1179].start 23094.70034375
transcript.pyannote[1179].end 23097.95721875
transcript.pyannote[1180].speaker SPEAKER_03
transcript.pyannote[1180].start 23098.41284375
transcript.pyannote[1180].end 23103.62721875
transcript.pyannote[1181].speaker SPEAKER_03
transcript.pyannote[1181].start 23104.20096875
transcript.pyannote[1181].end 23107.27221875
transcript.pyannote[1182].speaker SPEAKER_03
transcript.pyannote[1182].start 23107.59284375
transcript.pyannote[1182].end 23114.61284375
transcript.pyannote[1183].speaker SPEAKER_03
transcript.pyannote[1183].start 23115.18659375
transcript.pyannote[1183].end 23119.87784375
transcript.pyannote[1184].speaker SPEAKER_03
transcript.pyannote[1184].start 23120.55284375
transcript.pyannote[1184].end 23123.48909375
transcript.pyannote[1185].speaker SPEAKER_03
transcript.pyannote[1185].start 23123.60721875
transcript.pyannote[1185].end 23124.87284375
transcript.pyannote[1186].speaker SPEAKER_03
transcript.pyannote[1186].start 23125.98659375
transcript.pyannote[1186].end 23128.43346875
transcript.pyannote[1187].speaker SPEAKER_03
transcript.pyannote[1187].start 23130.22221875
transcript.pyannote[1187].end 23135.33534375
transcript.pyannote[1188].speaker SPEAKER_03
transcript.pyannote[1188].start 23135.63909375
transcript.pyannote[1188].end 23137.63034375
transcript.pyannote[1189].speaker SPEAKER_03
transcript.pyannote[1189].start 23137.84971875
transcript.pyannote[1189].end 23140.41471875
transcript.pyannote[1190].speaker SPEAKER_03
transcript.pyannote[1190].start 23141.19096875
transcript.pyannote[1190].end 23143.03034375
transcript.pyannote[1191].speaker SPEAKER_03
transcript.pyannote[1191].start 23143.75596875
transcript.pyannote[1191].end 23145.67971875
transcript.pyannote[1192].speaker SPEAKER_03
transcript.pyannote[1192].start 23146.42221875
transcript.pyannote[1192].end 23148.61596875
transcript.pyannote[1193].speaker SPEAKER_03
transcript.pyannote[1193].start 23148.71721875
transcript.pyannote[1193].end 23150.38784375
transcript.pyannote[1194].speaker SPEAKER_03
transcript.pyannote[1194].start 23151.53534375
transcript.pyannote[1194].end 23152.75034375
transcript.pyannote[1195].speaker SPEAKER_03
transcript.pyannote[1195].start 23153.35784375
transcript.pyannote[1195].end 23157.35721875
transcript.pyannote[1196].speaker SPEAKER_03
transcript.pyannote[1196].start 23157.69471875
transcript.pyannote[1196].end 23158.31909375
transcript.pyannote[1197].speaker SPEAKER_03
transcript.pyannote[1197].start 23158.45409375
transcript.pyannote[1197].end 23160.42846875
transcript.pyannote[1198].speaker SPEAKER_03
transcript.pyannote[1198].start 23161.01909375
transcript.pyannote[1198].end 23162.14971875
transcript.pyannote[1199].speaker SPEAKER_03
transcript.pyannote[1199].start 23162.62221875
transcript.pyannote[1199].end 23163.34784375
transcript.pyannote[1200].speaker SPEAKER_03
transcript.pyannote[1200].start 23163.90471875
transcript.pyannote[1200].end 23164.78221875
transcript.pyannote[1201].speaker SPEAKER_03
transcript.pyannote[1201].start 23165.44034375
transcript.pyannote[1201].end 23165.94659375
transcript.pyannote[1202].speaker SPEAKER_03
transcript.pyannote[1202].start 23166.06471875
transcript.pyannote[1202].end 23166.82409375
transcript.pyannote[1203].speaker SPEAKER_03
transcript.pyannote[1203].start 23169.16971875
transcript.pyannote[1203].end 23171.98784375
transcript.pyannote[1204].speaker SPEAKER_03
transcript.pyannote[1204].start 23172.35909375
transcript.pyannote[1204].end 23175.81846875
transcript.pyannote[1205].speaker SPEAKER_03
transcript.pyannote[1205].start 23176.35846875
transcript.pyannote[1205].end 23181.82596875
transcript.pyannote[1206].speaker SPEAKER_03
transcript.pyannote[1206].start 23182.29846875
transcript.pyannote[1206].end 23183.05784375
transcript.pyannote[1207].speaker SPEAKER_03
transcript.pyannote[1207].start 23183.39534375
transcript.pyannote[1207].end 23186.90534375
transcript.pyannote[1208].speaker SPEAKER_03
transcript.pyannote[1208].start 23187.31034375
transcript.pyannote[1208].end 23188.71096875
transcript.pyannote[1209].speaker SPEAKER_03
transcript.pyannote[1209].start 23190.28034375
transcript.pyannote[1209].end 23191.29284375
transcript.pyannote[1210].speaker SPEAKER_03
transcript.pyannote[1210].start 23192.06909375
transcript.pyannote[1210].end 23193.38534375
transcript.pyannote[1211].speaker SPEAKER_03
transcript.pyannote[1211].start 23193.55409375
transcript.pyannote[1211].end 23195.24159375
transcript.pyannote[1212].speaker SPEAKER_03
transcript.pyannote[1212].start 23196.06846875
transcript.pyannote[1212].end 23197.18221875
transcript.pyannote[1213].speaker SPEAKER_03
transcript.pyannote[1213].start 23198.31284375
transcript.pyannote[1213].end 23201.11409375
transcript.pyannote[1214].speaker SPEAKER_03
transcript.pyannote[1214].start 23201.33346875
transcript.pyannote[1214].end 23201.99159375
transcript.pyannote[1215].speaker SPEAKER_03
transcript.pyannote[1215].start 23203.03784375
transcript.pyannote[1215].end 23211.32346875
transcript.pyannote[1216].speaker SPEAKER_03
transcript.pyannote[1216].start 23212.75784375
transcript.pyannote[1216].end 23214.17534375
transcript.pyannote[1217].speaker SPEAKER_03
transcript.pyannote[1217].start 23215.25534375
transcript.pyannote[1217].end 23218.79909375
transcript.pyannote[1218].speaker SPEAKER_03
transcript.pyannote[1218].start 23219.32221875
transcript.pyannote[1218].end 23224.51971875
transcript.pyannote[1219].speaker SPEAKER_03
transcript.pyannote[1219].start 23225.05971875
transcript.pyannote[1219].end 23236.72034375
transcript.pyannote[1220].speaker SPEAKER_03
transcript.pyannote[1220].start 23237.09159375
transcript.pyannote[1220].end 23239.99409375
transcript.pyannote[1221].speaker SPEAKER_03
transcript.pyannote[1221].start 23240.80409375
transcript.pyannote[1221].end 23248.43159375
transcript.pyannote[1222].speaker SPEAKER_03
transcript.pyannote[1222].start 23249.62971875
transcript.pyannote[1222].end 23256.71721875
transcript.pyannote[1223].speaker SPEAKER_03
transcript.pyannote[1223].start 23257.05471875
transcript.pyannote[1223].end 23259.88971875
transcript.pyannote[1224].speaker SPEAKER_03
transcript.pyannote[1224].start 23260.44659375
transcript.pyannote[1224].end 23267.04471875
transcript.pyannote[1225].speaker SPEAKER_03
transcript.pyannote[1225].start 23267.39909375
transcript.pyannote[1225].end 23272.36034375
transcript.pyannote[1226].speaker SPEAKER_03
transcript.pyannote[1226].start 23272.98471875
transcript.pyannote[1226].end 23275.29659375
transcript.pyannote[1227].speaker SPEAKER_03
transcript.pyannote[1227].start 23275.44846875
transcript.pyannote[1227].end 23280.15659375
transcript.pyannote[1228].speaker SPEAKER_03
transcript.pyannote[1228].start 23281.70909375
transcript.pyannote[1228].end 23282.70471875
transcript.pyannote[1229].speaker SPEAKER_03
transcript.pyannote[1229].start 23283.36284375
transcript.pyannote[1229].end 23287.39596875
transcript.pyannote[1230].speaker SPEAKER_03
transcript.pyannote[1230].start 23287.83471875
transcript.pyannote[1230].end 23290.68659375
transcript.pyannote[1231].speaker SPEAKER_03
transcript.pyannote[1231].start 23290.78784375
transcript.pyannote[1231].end 23292.47534375
transcript.pyannote[1232].speaker SPEAKER_03
transcript.pyannote[1232].start 23292.79596875
transcript.pyannote[1232].end 23295.61409375
transcript.pyannote[1233].speaker SPEAKER_03
transcript.pyannote[1233].start 23296.08659375
transcript.pyannote[1233].end 23300.22096875
transcript.pyannote[1234].speaker SPEAKER_03
transcript.pyannote[1234].start 23300.42346875
transcript.pyannote[1234].end 23306.46471875
transcript.pyannote[1235].speaker SPEAKER_03
transcript.pyannote[1235].start 23306.71784375
transcript.pyannote[1235].end 23308.74284375
transcript.pyannote[1236].speaker SPEAKER_03
transcript.pyannote[1236].start 23310.39659375
transcript.pyannote[1236].end 23312.82659375
transcript.pyannote[1237].speaker SPEAKER_03
transcript.pyannote[1237].start 23313.24846875
transcript.pyannote[1237].end 23319.32346875
transcript.pyannote[1238].speaker SPEAKER_03
transcript.pyannote[1238].start 23319.99846875
transcript.pyannote[1238].end 23321.12909375
transcript.pyannote[1239].speaker SPEAKER_03
transcript.pyannote[1239].start 23322.05721875
transcript.pyannote[1239].end 23322.46221875
transcript.pyannote[1240].speaker SPEAKER_03
transcript.pyannote[1240].start 23322.74909375
transcript.pyannote[1240].end 23324.94284375
transcript.pyannote[1241].speaker SPEAKER_03
transcript.pyannote[1241].start 23325.65159375
transcript.pyannote[1241].end 23327.49096875
transcript.pyannote[1242].speaker SPEAKER_03
transcript.pyannote[1242].start 23328.01409375
transcript.pyannote[1242].end 23330.10659375
transcript.pyannote[1243].speaker SPEAKER_03
transcript.pyannote[1243].start 23330.91659375
transcript.pyannote[1243].end 23331.23721875
transcript.pyannote[1244].speaker SPEAKER_01
transcript.pyannote[1244].start 23335.72596875
transcript.pyannote[1244].end 23335.82721875
transcript.pyannote[1245].speaker SPEAKER_01
transcript.pyannote[1245].start 23335.96221875
transcript.pyannote[1245].end 23343.96096875
transcript.pyannote[1246].speaker SPEAKER_01
transcript.pyannote[1246].start 23344.61909375
transcript.pyannote[1246].end 23344.95659375
transcript.pyannote[1247].speaker SPEAKER_09
transcript.pyannote[1247].start 23345.91846875
transcript.pyannote[1247].end 23350.49159375
transcript.pyannote[1248].speaker SPEAKER_09
transcript.pyannote[1248].start 23358.45659375
transcript.pyannote[1248].end 23361.08909375
transcript.pyannote[1249].speaker SPEAKER_08
transcript.pyannote[1249].start 23372.29409375
transcript.pyannote[1249].end 23374.57221875
transcript.pyannote[1250].speaker SPEAKER_08
transcript.pyannote[1250].start 23374.69034375
transcript.pyannote[1250].end 23375.65221875
transcript.pyannote[1251].speaker SPEAKER_09
transcript.pyannote[1251].start 23376.37784375
transcript.pyannote[1251].end 23377.44096875
transcript.pyannote[1252].speaker SPEAKER_08
transcript.pyannote[1252].start 23386.60409375
transcript.pyannote[1252].end 23395.63221875
transcript.pyannote[1253].speaker SPEAKER_08
transcript.pyannote[1253].start 23396.07096875
transcript.pyannote[1253].end 23401.96034375
transcript.pyannote[1254].speaker SPEAKER_08
transcript.pyannote[1254].start 23401.97721875
transcript.pyannote[1254].end 23402.75346875
transcript.pyannote[1255].speaker SPEAKER_08
transcript.pyannote[1255].start 23403.09096875
transcript.pyannote[1255].end 23405.63909375
transcript.pyannote[1256].speaker SPEAKER_08
transcript.pyannote[1256].start 23405.92596875
transcript.pyannote[1256].end 23412.92909375
transcript.pyannote[1257].speaker SPEAKER_08
transcript.pyannote[1257].start 23413.35096875
transcript.pyannote[1257].end 23413.77284375
transcript.pyannote[1258].speaker SPEAKER_08
transcript.pyannote[1258].start 23414.34659375
transcript.pyannote[1258].end 23416.97909375
transcript.pyannote[1259].speaker SPEAKER_08
transcript.pyannote[1259].start 23417.23221875
transcript.pyannote[1259].end 23419.61159375
transcript.pyannote[1260].speaker SPEAKER_08
transcript.pyannote[1260].start 23419.64534375
transcript.pyannote[1260].end 23434.37721875
transcript.pyannote[1261].speaker SPEAKER_08
transcript.pyannote[1261].start 23434.95096875
transcript.pyannote[1261].end 23438.42721875
transcript.pyannote[1262].speaker SPEAKER_08
transcript.pyannote[1262].start 23438.64659375
transcript.pyannote[1262].end 23443.18596875
transcript.pyannote[1263].speaker SPEAKER_08
transcript.pyannote[1263].start 23443.60784375
transcript.pyannote[1263].end 23443.91159375
transcript.pyannote[1264].speaker SPEAKER_08
transcript.pyannote[1264].start 23444.40096875
transcript.pyannote[1264].end 23444.82284375
transcript.pyannote[1265].speaker SPEAKER_08
transcript.pyannote[1265].start 23445.00846875
transcript.pyannote[1265].end 23456.29784375
transcript.pyannote[1266].speaker SPEAKER_08
transcript.pyannote[1266].start 23456.43284375
transcript.pyannote[1266].end 23460.34784375
transcript.pyannote[1267].speaker SPEAKER_08
transcript.pyannote[1267].start 23461.20846875
transcript.pyannote[1267].end 23462.35596875
transcript.pyannote[1268].speaker SPEAKER_06
transcript.pyannote[1268].start 23462.35596875
transcript.pyannote[1268].end 23462.37284375
transcript.pyannote[1269].speaker SPEAKER_06
transcript.pyannote[1269].start 23463.11534375
transcript.pyannote[1269].end 23466.72659375
transcript.pyannote[1270].speaker SPEAKER_06
transcript.pyannote[1270].start 23467.04721875
transcript.pyannote[1270].end 23470.62471875
transcript.pyannote[1271].speaker SPEAKER_06
transcript.pyannote[1271].start 23470.82721875
transcript.pyannote[1271].end 23475.99096875
transcript.pyannote[1272].speaker SPEAKER_06
transcript.pyannote[1272].start 23476.07534375
transcript.pyannote[1272].end 23476.98659375
transcript.pyannote[1273].speaker SPEAKER_06
transcript.pyannote[1273].start 23477.15534375
transcript.pyannote[1273].end 23490.97596875
transcript.pyannote[1274].speaker SPEAKER_08
transcript.pyannote[1274].start 23490.97596875
transcript.pyannote[1274].end 23491.00971875
transcript.pyannote[1275].speaker SPEAKER_06
transcript.pyannote[1275].start 23491.60034375
transcript.pyannote[1275].end 23491.61721875
transcript.pyannote[1276].speaker SPEAKER_08
transcript.pyannote[1276].start 23491.61721875
transcript.pyannote[1276].end 23520.01784375
transcript.pyannote[1277].speaker SPEAKER_00
transcript.pyannote[1277].start 23504.93159375
transcript.pyannote[1277].end 23505.31971875
transcript.pyannote[1278].speaker SPEAKER_15
transcript.pyannote[1278].start 23506.18034375
transcript.pyannote[1278].end 23506.82159375
transcript.pyannote[1279].speaker SPEAKER_00
transcript.pyannote[1279].start 23506.82159375
transcript.pyannote[1279].end 23506.83846875
transcript.pyannote[1280].speaker SPEAKER_08
transcript.pyannote[1280].start 23520.37221875
transcript.pyannote[1280].end 23532.69096875
transcript.pyannote[1281].speaker SPEAKER_08
transcript.pyannote[1281].start 23532.94409375
transcript.pyannote[1281].end 23534.66534375
transcript.pyannote[1282].speaker SPEAKER_08
transcript.pyannote[1282].start 23534.98596875
transcript.pyannote[1282].end 23535.84659375
transcript.pyannote[1283].speaker SPEAKER_08
transcript.pyannote[1283].start 23536.25159375
transcript.pyannote[1283].end 23542.19159375
transcript.pyannote[1284].speaker SPEAKER_04
transcript.pyannote[1284].start 23541.26346875
transcript.pyannote[1284].end 23541.73596875
transcript.pyannote[1285].speaker SPEAKER_04
transcript.pyannote[1285].start 23542.19159375
transcript.pyannote[1285].end 23542.59659375
transcript.pyannote[1286].speaker SPEAKER_08
transcript.pyannote[1286].start 23542.59659375
transcript.pyannote[1286].end 23548.92471875
transcript.pyannote[1287].speaker SPEAKER_08
transcript.pyannote[1287].start 23549.24534375
transcript.pyannote[1287].end 23551.33784375
transcript.pyannote[1288].speaker SPEAKER_08
transcript.pyannote[1288].start 23552.01284375
transcript.pyannote[1288].end 23555.96159375
transcript.pyannote[1289].speaker SPEAKER_08
transcript.pyannote[1289].start 23556.18096875
transcript.pyannote[1289].end 23557.83471875
transcript.pyannote[1290].speaker SPEAKER_08
transcript.pyannote[1290].start 23558.23971875
transcript.pyannote[1290].end 23561.39534375
transcript.pyannote[1291].speaker SPEAKER_08
transcript.pyannote[1291].start 23562.40784375
transcript.pyannote[1291].end 23564.34846875
transcript.pyannote[1292].speaker SPEAKER_08
transcript.pyannote[1292].start 23564.88846875
transcript.pyannote[1292].end 23570.74409375
transcript.pyannote[1293].speaker SPEAKER_08
transcript.pyannote[1293].start 23570.81159375
transcript.pyannote[1293].end 23581.34159375
transcript.pyannote[1294].speaker SPEAKER_08
transcript.pyannote[1294].start 23581.44284375
transcript.pyannote[1294].end 23585.81346875
transcript.pyannote[1295].speaker SPEAKER_08
transcript.pyannote[1295].start 23586.11721875
transcript.pyannote[1295].end 23590.03221875
transcript.pyannote[1296].speaker SPEAKER_08
transcript.pyannote[1296].start 23590.30221875
transcript.pyannote[1296].end 23591.23034375
transcript.pyannote[1297].speaker SPEAKER_08
transcript.pyannote[1297].start 23591.70284375
transcript.pyannote[1297].end 23598.99284375
transcript.pyannote[1298].speaker SPEAKER_08
transcript.pyannote[1298].start 23599.38096875
transcript.pyannote[1298].end 23602.57034375
transcript.pyannote[1299].speaker SPEAKER_08
transcript.pyannote[1299].start 23603.00909375
transcript.pyannote[1299].end 23610.60284375
transcript.pyannote[1300].speaker SPEAKER_08
transcript.pyannote[1300].start 23610.90659375
transcript.pyannote[1300].end 23613.15096875
transcript.pyannote[1301].speaker SPEAKER_08
transcript.pyannote[1301].start 23613.84284375
transcript.pyannote[1301].end 23617.97721875
transcript.pyannote[1302].speaker SPEAKER_08
transcript.pyannote[1302].start 23618.55096875
transcript.pyannote[1302].end 23626.41471875
transcript.pyannote[1303].speaker SPEAKER_08
transcript.pyannote[1303].start 23626.63409375
transcript.pyannote[1303].end 23631.40971875
transcript.pyannote[1304].speaker SPEAKER_15
transcript.pyannote[1304].start 23632.27034375
transcript.pyannote[1304].end 23634.71721875
transcript.pyannote[1305].speaker SPEAKER_15
transcript.pyannote[1305].start 23635.03784375
transcript.pyannote[1305].end 23635.88159375
transcript.pyannote[1306].speaker SPEAKER_15
transcript.pyannote[1306].start 23636.01659375
transcript.pyannote[1306].end 23637.51846875
transcript.pyannote[1307].speaker SPEAKER_15
transcript.pyannote[1307].start 23637.83909375
transcript.pyannote[1307].end 23638.15971875
transcript.pyannote[1308].speaker SPEAKER_15
transcript.pyannote[1308].start 23638.48034375
transcript.pyannote[1308].end 23642.37846875
transcript.pyannote[1309].speaker SPEAKER_15
transcript.pyannote[1309].start 23642.80034375
transcript.pyannote[1309].end 23645.34846875
transcript.pyannote[1310].speaker SPEAKER_15
transcript.pyannote[1310].start 23645.75346875
transcript.pyannote[1310].end 23647.93034375
transcript.pyannote[1311].speaker SPEAKER_15
transcript.pyannote[1311].start 23648.25096875
transcript.pyannote[1311].end 23649.48284375
transcript.pyannote[1312].speaker SPEAKER_15
transcript.pyannote[1312].start 23649.92159375
transcript.pyannote[1312].end 23652.01409375
transcript.pyannote[1313].speaker SPEAKER_15
transcript.pyannote[1313].start 23652.36846875
transcript.pyannote[1313].end 23653.93784375
transcript.pyannote[1314].speaker SPEAKER_15
transcript.pyannote[1314].start 23654.76471875
transcript.pyannote[1314].end 23654.78159375
transcript.pyannote[1315].speaker SPEAKER_08
transcript.pyannote[1315].start 23654.78159375
transcript.pyannote[1315].end 23655.40596875
transcript.pyannote[1316].speaker SPEAKER_08
transcript.pyannote[1316].start 23655.54096875
transcript.pyannote[1316].end 23661.49784375
transcript.pyannote[1317].speaker SPEAKER_08
transcript.pyannote[1317].start 23661.95346875
transcript.pyannote[1317].end 23667.85971875
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 23667.45471875
transcript.pyannote[1318].end 23670.18846875
transcript.pyannote[1319].speaker SPEAKER_08
transcript.pyannote[1319].start 23668.21409375
transcript.pyannote[1319].end 23669.59784375
transcript.pyannote[1320].speaker SPEAKER_08
transcript.pyannote[1320].start 23670.18846875
transcript.pyannote[1320].end 23677.71471875
transcript.pyannote[1321].speaker SPEAKER_08
transcript.pyannote[1321].start 23677.90034375
transcript.pyannote[1321].end 23692.51409375
transcript.pyannote[1322].speaker SPEAKER_08
transcript.pyannote[1322].start 23692.76721875
transcript.pyannote[1322].end 23694.48846875
transcript.pyannote[1323].speaker SPEAKER_08
transcript.pyannote[1323].start 23695.23096875
transcript.pyannote[1323].end 23696.32784375
transcript.pyannote[1324].speaker SPEAKER_15
transcript.pyannote[1324].start 23695.33221875
transcript.pyannote[1324].end 23701.27221875
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 23701.64346875
transcript.pyannote[1325].end 23705.42346875
transcript.pyannote[1326].speaker SPEAKER_15
transcript.pyannote[1326].start 23705.67659375
transcript.pyannote[1326].end 23707.92096875
transcript.pyannote[1327].speaker SPEAKER_08
transcript.pyannote[1327].start 23708.10659375
transcript.pyannote[1327].end 23712.88221875
transcript.pyannote[1328].speaker SPEAKER_08
transcript.pyannote[1328].start 23713.16909375
transcript.pyannote[1328].end 23713.96221875
transcript.pyannote[1329].speaker SPEAKER_08
transcript.pyannote[1329].start 23714.14784375
transcript.pyannote[1329].end 23714.83971875
transcript.pyannote[1330].speaker SPEAKER_08
transcript.pyannote[1330].start 23715.86909375
transcript.pyannote[1330].end 23722.58534375
transcript.pyannote[1331].speaker SPEAKER_08
transcript.pyannote[1331].start 23723.02409375
transcript.pyannote[1331].end 23730.87096875
transcript.pyannote[1332].speaker SPEAKER_15
transcript.pyannote[1332].start 23730.02721875
transcript.pyannote[1332].end 23730.71909375
transcript.pyannote[1333].speaker SPEAKER_15
transcript.pyannote[1333].start 23730.87096875
transcript.pyannote[1333].end 23730.88784375
transcript.pyannote[1334].speaker SPEAKER_15
transcript.pyannote[1334].start 23730.95534375
transcript.pyannote[1334].end 23736.11909375
transcript.pyannote[1335].speaker SPEAKER_15
transcript.pyannote[1335].start 23736.87846875
transcript.pyannote[1335].end 23737.28346875
transcript.pyannote[1336].speaker SPEAKER_15
transcript.pyannote[1336].start 23737.80659375
transcript.pyannote[1336].end 23739.02159375
transcript.pyannote[1337].speaker SPEAKER_08
transcript.pyannote[1337].start 23739.39284375
transcript.pyannote[1337].end 23748.92721875
transcript.pyannote[1338].speaker SPEAKER_15
transcript.pyannote[1338].start 23739.56159375
transcript.pyannote[1338].end 23740.65846875
transcript.pyannote[1339].speaker SPEAKER_08
transcript.pyannote[1339].start 23749.58534375
transcript.pyannote[1339].end 23751.20534375
transcript.pyannote[1340].speaker SPEAKER_08
transcript.pyannote[1340].start 23751.47534375
transcript.pyannote[1340].end 23754.54659375
transcript.pyannote[1341].speaker SPEAKER_08
transcript.pyannote[1341].start 23754.86721875
transcript.pyannote[1341].end 23770.20659375
transcript.pyannote[1342].speaker SPEAKER_08
transcript.pyannote[1342].start 23770.72971875
transcript.pyannote[1342].end 23776.04534375
transcript.pyannote[1343].speaker SPEAKER_08
transcript.pyannote[1343].start 23776.46721875
transcript.pyannote[1343].end 23778.62721875
transcript.pyannote[1344].speaker SPEAKER_08
transcript.pyannote[1344].start 23778.93096875
transcript.pyannote[1344].end 23779.40346875
transcript.pyannote[1345].speaker SPEAKER_08
transcript.pyannote[1345].start 23780.70284375
transcript.pyannote[1345].end 23785.07346875
transcript.pyannote[1346].speaker SPEAKER_08
transcript.pyannote[1346].start 23785.44471875
transcript.pyannote[1346].end 23788.63409375
transcript.pyannote[1347].speaker SPEAKER_08
transcript.pyannote[1347].start 23788.81971875
transcript.pyannote[1347].end 23789.64659375
transcript.pyannote[1348].speaker SPEAKER_08
transcript.pyannote[1348].start 23790.40596875
transcript.pyannote[1348].end 23810.53784375
transcript.pyannote[1349].speaker SPEAKER_08
transcript.pyannote[1349].start 23810.79096875
transcript.pyannote[1349].end 23812.79909375
transcript.pyannote[1350].speaker SPEAKER_08
transcript.pyannote[1350].start 23813.33909375
transcript.pyannote[1350].end 23818.46909375
transcript.pyannote[1351].speaker SPEAKER_15
transcript.pyannote[1351].start 23818.72221875
transcript.pyannote[1351].end 23820.71346875
transcript.pyannote[1352].speaker SPEAKER_15
transcript.pyannote[1352].start 23820.96659375
transcript.pyannote[1352].end 23824.32471875
transcript.pyannote[1353].speaker SPEAKER_15
transcript.pyannote[1353].start 23824.42596875
transcript.pyannote[1353].end 23824.44284375
transcript.pyannote[1354].speaker SPEAKER_08
transcript.pyannote[1354].start 23824.44284375
transcript.pyannote[1354].end 23824.45971875
transcript.pyannote[1355].speaker SPEAKER_15
transcript.pyannote[1355].start 23824.45971875
transcript.pyannote[1355].end 23824.49346875
transcript.pyannote[1356].speaker SPEAKER_10
transcript.pyannote[1356].start 23824.49346875
transcript.pyannote[1356].end 23824.66221875
transcript.pyannote[1357].speaker SPEAKER_08
transcript.pyannote[1357].start 23824.66221875
transcript.pyannote[1357].end 23824.71284375
transcript.pyannote[1358].speaker SPEAKER_15
transcript.pyannote[1358].start 23824.71284375
transcript.pyannote[1358].end 23840.91284375
transcript.pyannote[1359].speaker SPEAKER_15
transcript.pyannote[1359].start 23841.82409375
transcript.pyannote[1359].end 23845.80659375
transcript.pyannote[1360].speaker SPEAKER_08
transcript.pyannote[1360].start 23845.13159375
transcript.pyannote[1360].end 23849.04659375
transcript.pyannote[1361].speaker SPEAKER_11
transcript.pyannote[1361].start 23848.69221875
transcript.pyannote[1361].end 23848.72596875
transcript.pyannote[1362].speaker SPEAKER_15
transcript.pyannote[1362].start 23848.72596875
transcript.pyannote[1362].end 23850.10971875
transcript.pyannote[1363].speaker SPEAKER_08
transcript.pyannote[1363].start 23849.40096875
transcript.pyannote[1363].end 23858.02409375
transcript.pyannote[1364].speaker SPEAKER_11
transcript.pyannote[1364].start 23850.10971875
transcript.pyannote[1364].end 23850.21096875
transcript.pyannote[1365].speaker SPEAKER_11
transcript.pyannote[1365].start 23850.68346875
transcript.pyannote[1365].end 23850.70034375
transcript.pyannote[1366].speaker SPEAKER_15
transcript.pyannote[1366].start 23850.70034375
transcript.pyannote[1366].end 23851.61159375
transcript.pyannote[1367].speaker SPEAKER_11
transcript.pyannote[1367].start 23851.61159375
transcript.pyannote[1367].end 23851.67909375
transcript.pyannote[1368].speaker SPEAKER_15
transcript.pyannote[1368].start 23852.30346875
transcript.pyannote[1368].end 23852.94471875
transcript.pyannote[1369].speaker SPEAKER_15
transcript.pyannote[1369].start 23856.92721875
transcript.pyannote[1369].end 23857.28159375
transcript.pyannote[1370].speaker SPEAKER_15
transcript.pyannote[1370].start 23857.82159375
transcript.pyannote[1370].end 23863.15409375
transcript.pyannote[1371].speaker SPEAKER_15
transcript.pyannote[1371].start 23863.59284375
transcript.pyannote[1371].end 23866.41096875
transcript.pyannote[1372].speaker SPEAKER_08
transcript.pyannote[1372].start 23865.26346875
transcript.pyannote[1372].end 23865.39846875
transcript.pyannote[1373].speaker SPEAKER_15
transcript.pyannote[1373].start 23866.42784375
transcript.pyannote[1373].end 23866.56284375
transcript.pyannote[1374].speaker SPEAKER_08
transcript.pyannote[1374].start 23866.51221875
transcript.pyannote[1374].end 23867.25471875
transcript.pyannote[1375].speaker SPEAKER_15
transcript.pyannote[1375].start 23866.57971875
transcript.pyannote[1375].end 23867.05221875
transcript.pyannote[1376].speaker SPEAKER_15
transcript.pyannote[1376].start 23867.25471875
transcript.pyannote[1376].end 23867.42346875
transcript.pyannote[1377].speaker SPEAKER_08
transcript.pyannote[1377].start 23867.42346875
transcript.pyannote[1377].end 23874.84846875
transcript.pyannote[1378].speaker SPEAKER_15
transcript.pyannote[1378].start 23867.91284375
transcript.pyannote[1378].end 23868.16596875
transcript.pyannote[1379].speaker SPEAKER_15
transcript.pyannote[1379].start 23873.88659375
transcript.pyannote[1379].end 23880.38346875
transcript.pyannote[1380].speaker SPEAKER_08
transcript.pyannote[1380].start 23880.53534375
transcript.pyannote[1380].end 23882.20596875
transcript.pyannote[1381].speaker SPEAKER_08
transcript.pyannote[1381].start 23883.15096875
transcript.pyannote[1381].end 23884.21409375
transcript.pyannote[1382].speaker SPEAKER_08
transcript.pyannote[1382].start 23884.60221875
transcript.pyannote[1382].end 23887.45409375
transcript.pyannote[1383].speaker SPEAKER_15
transcript.pyannote[1383].start 23884.78784375
transcript.pyannote[1383].end 23887.69034375
transcript.pyannote[1384].speaker SPEAKER_08
transcript.pyannote[1384].start 23887.69034375
transcript.pyannote[1384].end 23894.01846875
transcript.pyannote[1385].speaker SPEAKER_15
transcript.pyannote[1385].start 23888.16284375
transcript.pyannote[1385].end 23888.51721875
transcript.pyannote[1386].speaker SPEAKER_08
transcript.pyannote[1386].start 23894.10284375
transcript.pyannote[1386].end 23895.14909375
transcript.pyannote[1387].speaker SPEAKER_06
transcript.pyannote[1387].start 23895.55409375
transcript.pyannote[1387].end 23897.29221875
transcript.pyannote[1388].speaker SPEAKER_08
transcript.pyannote[1388].start 23895.68909375
transcript.pyannote[1388].end 23896.14471875
transcript.pyannote[1389].speaker SPEAKER_06
transcript.pyannote[1389].start 23897.88284375
transcript.pyannote[1389].end 23899.01346875
transcript.pyannote[1390].speaker SPEAKER_06
transcript.pyannote[1390].start 23899.26659375
transcript.pyannote[1390].end 23902.21971875
transcript.pyannote[1391].speaker SPEAKER_06
transcript.pyannote[1391].start 23902.45596875
transcript.pyannote[1391].end 23903.85659375
transcript.pyannote[1392].speaker SPEAKER_06
transcript.pyannote[1392].start 23904.17721875
transcript.pyannote[1392].end 23905.83096875
transcript.pyannote[1393].speaker SPEAKER_06
transcript.pyannote[1393].start 23906.53971875
transcript.pyannote[1393].end 23909.03721875
transcript.pyannote[1394].speaker SPEAKER_06
transcript.pyannote[1394].start 23909.40846875
transcript.pyannote[1394].end 23911.56846875
transcript.pyannote[1395].speaker SPEAKER_06
transcript.pyannote[1395].start 23911.68659375
transcript.pyannote[1395].end 23913.98159375
transcript.pyannote[1396].speaker SPEAKER_06
transcript.pyannote[1396].start 23914.20096875
transcript.pyannote[1396].end 23920.74846875
transcript.pyannote[1397].speaker SPEAKER_06
transcript.pyannote[1397].start 23920.95096875
transcript.pyannote[1397].end 23921.77784375
transcript.pyannote[1398].speaker SPEAKER_06
transcript.pyannote[1398].start 23922.26721875
transcript.pyannote[1398].end 23930.26596875
transcript.pyannote[1399].speaker SPEAKER_08
transcript.pyannote[1399].start 23927.68409375
transcript.pyannote[1399].end 23928.03846875
transcript.pyannote[1400].speaker SPEAKER_08
transcript.pyannote[1400].start 23930.26596875
transcript.pyannote[1400].end 23935.41284375
transcript.pyannote[1401].speaker SPEAKER_08
transcript.pyannote[1401].start 23935.85159375
transcript.pyannote[1401].end 23938.65284375
transcript.pyannote[1402].speaker SPEAKER_08
transcript.pyannote[1402].start 23939.56409375
transcript.pyannote[1402].end 23950.70159375
transcript.pyannote[1403].speaker SPEAKER_06
transcript.pyannote[1403].start 23950.22909375
transcript.pyannote[1403].end 23956.15221875
transcript.pyannote[1404].speaker SPEAKER_08
transcript.pyannote[1404].start 23956.59096875
transcript.pyannote[1404].end 23958.02534375
transcript.pyannote[1405].speaker SPEAKER_06
transcript.pyannote[1405].start 23958.43034375
transcript.pyannote[1405].end 23958.46409375
transcript.pyannote[1406].speaker SPEAKER_08
transcript.pyannote[1406].start 23958.46409375
transcript.pyannote[1406].end 23959.86471875
transcript.pyannote[1407].speaker SPEAKER_08
transcript.pyannote[1407].start 23960.50596875
transcript.pyannote[1407].end 23961.99096875
transcript.pyannote[1408].speaker SPEAKER_08
transcript.pyannote[1408].start 23962.26096875
transcript.pyannote[1408].end 23962.75034375
transcript.pyannote[1409].speaker SPEAKER_08
transcript.pyannote[1409].start 23963.35784375
transcript.pyannote[1409].end 23964.03284375
transcript.pyannote[1410].speaker SPEAKER_08
transcript.pyannote[1410].start 23964.45471875
transcript.pyannote[1410].end 23965.39971875
transcript.pyannote[1411].speaker SPEAKER_08
transcript.pyannote[1411].start 23965.60221875
transcript.pyannote[1411].end 23966.85096875
transcript.pyannote[1412].speaker SPEAKER_08
transcript.pyannote[1412].start 23968.13346875
transcript.pyannote[1412].end 23972.45346875
transcript.pyannote[1413].speaker SPEAKER_08
transcript.pyannote[1413].start 23973.39846875
transcript.pyannote[1413].end 23977.70159375
transcript.pyannote[1414].speaker SPEAKER_08
transcript.pyannote[1414].start 23978.19096875
transcript.pyannote[1414].end 23980.60409375
transcript.pyannote[1415].speaker SPEAKER_08
transcript.pyannote[1415].start 23981.11034375
transcript.pyannote[1415].end 23982.03846875
transcript.pyannote[1416].speaker SPEAKER_08
transcript.pyannote[1416].start 23982.83159375
transcript.pyannote[1416].end 23987.42159375
transcript.pyannote[1417].speaker SPEAKER_08
transcript.pyannote[1417].start 23987.75909375
transcript.pyannote[1417].end 23993.91846875
transcript.pyannote[1418].speaker SPEAKER_15
transcript.pyannote[1418].start 23993.76659375
transcript.pyannote[1418].end 23993.80034375
transcript.pyannote[1419].speaker SPEAKER_15
transcript.pyannote[1419].start 23994.08721875
transcript.pyannote[1419].end 23999.65596875
transcript.pyannote[1420].speaker SPEAKER_15
transcript.pyannote[1420].start 24000.06096875
transcript.pyannote[1420].end 24004.56659375
transcript.pyannote[1421].speaker SPEAKER_15
transcript.pyannote[1421].start 24004.81971875
transcript.pyannote[1421].end 24008.34659375
transcript.pyannote[1422].speaker SPEAKER_08
transcript.pyannote[1422].start 24006.87846875
transcript.pyannote[1422].end 24008.17784375
transcript.pyannote[1423].speaker SPEAKER_15
transcript.pyannote[1423].start 24008.53221875
transcript.pyannote[1423].end 24012.31221875
transcript.pyannote[1424].speaker SPEAKER_15
transcript.pyannote[1424].start 24012.54846875
transcript.pyannote[1424].end 24015.73784375
transcript.pyannote[1425].speaker SPEAKER_15
transcript.pyannote[1425].start 24015.97409375
transcript.pyannote[1425].end 24018.18471875
transcript.pyannote[1426].speaker SPEAKER_08
transcript.pyannote[1426].start 24017.44221875
transcript.pyannote[1426].end 24018.06659375
transcript.pyannote[1427].speaker SPEAKER_08
transcript.pyannote[1427].start 24018.77534375
transcript.pyannote[1427].end 24025.22159375
transcript.pyannote[1428].speaker SPEAKER_08
transcript.pyannote[1428].start 24025.62659375
transcript.pyannote[1428].end 24026.53784375
transcript.pyannote[1429].speaker SPEAKER_08
transcript.pyannote[1429].start 24027.11159375
transcript.pyannote[1429].end 24028.07346875
transcript.pyannote[1430].speaker SPEAKER_08
transcript.pyannote[1430].start 24028.32659375
transcript.pyannote[1430].end 24029.20409375
transcript.pyannote[1431].speaker SPEAKER_08
transcript.pyannote[1431].start 24029.44034375
transcript.pyannote[1431].end 24033.28784375
transcript.pyannote[1432].speaker SPEAKER_08
transcript.pyannote[1432].start 24033.59159375
transcript.pyannote[1432].end 24040.32471875
transcript.pyannote[1433].speaker SPEAKER_15
transcript.pyannote[1433].start 24040.54409375
transcript.pyannote[1433].end 24041.50596875
transcript.pyannote[1434].speaker SPEAKER_08
transcript.pyannote[1434].start 24040.89846875
transcript.pyannote[1434].end 24042.33284375
transcript.pyannote[1435].speaker SPEAKER_15
transcript.pyannote[1435].start 24042.33284375
transcript.pyannote[1435].end 24045.79221875
transcript.pyannote[1436].speaker SPEAKER_15
transcript.pyannote[1436].start 24045.85971875
transcript.pyannote[1436].end 24047.91846875
transcript.pyannote[1437].speaker SPEAKER_15
transcript.pyannote[1437].start 24048.20534375
transcript.pyannote[1437].end 24052.22159375
transcript.pyannote[1438].speaker SPEAKER_08
transcript.pyannote[1438].start 24052.12034375
transcript.pyannote[1438].end 24061.80659375
transcript.pyannote[1439].speaker SPEAKER_08
transcript.pyannote[1439].start 24062.46471875
transcript.pyannote[1439].end 24066.41346875
transcript.pyannote[1440].speaker SPEAKER_15
transcript.pyannote[1440].start 24066.90284375
transcript.pyannote[1440].end 24074.02409375
transcript.pyannote[1441].speaker SPEAKER_15
transcript.pyannote[1441].start 24074.46284375
transcript.pyannote[1441].end 24075.15471875
transcript.pyannote[1442].speaker SPEAKER_15
transcript.pyannote[1442].start 24075.71159375
transcript.pyannote[1442].end 24080.36909375
transcript.pyannote[1443].speaker SPEAKER_08
transcript.pyannote[1443].start 24080.67284375
transcript.pyannote[1443].end 24086.52846875
transcript.pyannote[1444].speaker SPEAKER_15
transcript.pyannote[1444].start 24081.95534375
transcript.pyannote[1444].end 24083.82846875
transcript.pyannote[1445].speaker SPEAKER_08
transcript.pyannote[1445].start 24086.78159375
transcript.pyannote[1445].end 24087.28784375
transcript.pyannote[1446].speaker SPEAKER_08
transcript.pyannote[1446].start 24087.72659375
transcript.pyannote[1446].end 24088.67159375
transcript.pyannote[1447].speaker SPEAKER_08
transcript.pyannote[1447].start 24089.34659375
transcript.pyannote[1447].end 24091.33784375
transcript.pyannote[1448].speaker SPEAKER_08
transcript.pyannote[1448].start 24091.84409375
transcript.pyannote[1448].end 24092.68784375
transcript.pyannote[1449].speaker SPEAKER_08
transcript.pyannote[1449].start 24092.90721875
transcript.pyannote[1449].end 24093.41346875
transcript.pyannote[1450].speaker SPEAKER_08
transcript.pyannote[1450].start 24093.43034375
transcript.pyannote[1450].end 24109.96784375
transcript.pyannote[1451].speaker SPEAKER_15
transcript.pyannote[1451].start 24108.63471875
transcript.pyannote[1451].end 24113.07284375
transcript.pyannote[1452].speaker SPEAKER_06
transcript.pyannote[1452].start 24111.85784375
transcript.pyannote[1452].end 24118.74284375
transcript.pyannote[1453].speaker SPEAKER_08
transcript.pyannote[1453].start 24113.07284375
transcript.pyannote[1453].end 24113.57909375
transcript.pyannote[1454].speaker SPEAKER_15
transcript.pyannote[1454].start 24116.21159375
transcript.pyannote[1454].end 24116.24534375
transcript.pyannote[1455].speaker SPEAKER_08
transcript.pyannote[1455].start 24116.24534375
transcript.pyannote[1455].end 24117.19034375
transcript.pyannote[1456].speaker SPEAKER_08
transcript.pyannote[1456].start 24118.74284375
transcript.pyannote[1456].end 24128.56409375
transcript.pyannote[1457].speaker SPEAKER_06
transcript.pyannote[1457].start 24118.77659375
transcript.pyannote[1457].end 24120.43034375
transcript.pyannote[1458].speaker SPEAKER_08
transcript.pyannote[1458].start 24128.76659375
transcript.pyannote[1458].end 24130.82534375
transcript.pyannote[1459].speaker SPEAKER_08
transcript.pyannote[1459].start 24131.75346875
transcript.pyannote[1459].end 24134.58846875
transcript.pyannote[1460].speaker SPEAKER_08
transcript.pyannote[1460].start 24135.53346875
transcript.pyannote[1460].end 24136.24221875
transcript.pyannote[1461].speaker SPEAKER_08
transcript.pyannote[1461].start 24136.66409375
transcript.pyannote[1461].end 24144.24096875
transcript.pyannote[1462].speaker SPEAKER_08
transcript.pyannote[1462].start 24144.98346875
transcript.pyannote[1462].end 24145.69221875
transcript.pyannote[1463].speaker SPEAKER_15
transcript.pyannote[1463].start 24145.25346875
transcript.pyannote[1463].end 24146.92409375
transcript.pyannote[1464].speaker SPEAKER_08
transcript.pyannote[1464].start 24146.40096875
transcript.pyannote[1464].end 24156.67784375
transcript.pyannote[1465].speaker SPEAKER_08
transcript.pyannote[1465].start 24156.99846875
transcript.pyannote[1465].end 24161.68971875
transcript.pyannote[1466].speaker SPEAKER_08
transcript.pyannote[1466].start 24161.92596875
transcript.pyannote[1466].end 24164.08596875
transcript.pyannote[1467].speaker SPEAKER_08
transcript.pyannote[1467].start 24164.20409375
transcript.pyannote[1467].end 24165.45284375
transcript.pyannote[1468].speaker SPEAKER_08
transcript.pyannote[1468].start 24166.27971875
transcript.pyannote[1468].end 24167.86596875
transcript.pyannote[1469].speaker SPEAKER_08
transcript.pyannote[1469].start 24168.20346875
transcript.pyannote[1469].end 24177.68721875
transcript.pyannote[1470].speaker SPEAKER_00
transcript.pyannote[1470].start 24174.29534375
transcript.pyannote[1470].end 24174.58221875
transcript.pyannote[1471].speaker SPEAKER_08
transcript.pyannote[1471].start 24178.44659375
transcript.pyannote[1471].end 24182.69909375
transcript.pyannote[1472].speaker SPEAKER_08
transcript.pyannote[1472].start 24182.96909375
transcript.pyannote[1472].end 24186.54659375
transcript.pyannote[1473].speaker SPEAKER_08
transcript.pyannote[1473].start 24187.25534375
transcript.pyannote[1473].end 24187.82909375
transcript.pyannote[1474].speaker SPEAKER_08
transcript.pyannote[1474].start 24188.31846875
transcript.pyannote[1474].end 24194.39346875
transcript.pyannote[1475].speaker SPEAKER_06
transcript.pyannote[1475].start 24193.97159375
transcript.pyannote[1475].end 24205.24409375
transcript.pyannote[1476].speaker SPEAKER_00
transcript.pyannote[1476].start 24199.37159375
transcript.pyannote[1476].end 24199.50659375
transcript.pyannote[1477].speaker SPEAKER_08
transcript.pyannote[1477].start 24199.50659375
transcript.pyannote[1477].end 24199.70909375
transcript.pyannote[1478].speaker SPEAKER_00
transcript.pyannote[1478].start 24199.70909375
transcript.pyannote[1478].end 24199.87784375
transcript.pyannote[1479].speaker SPEAKER_06
transcript.pyannote[1479].start 24205.41284375
transcript.pyannote[1479].end 24206.64471875
transcript.pyannote[1480].speaker SPEAKER_06
transcript.pyannote[1480].start 24206.94846875
transcript.pyannote[1480].end 24208.31534375
transcript.pyannote[1481].speaker SPEAKER_06
transcript.pyannote[1481].start 24208.82159375
transcript.pyannote[1481].end 24210.64409375
transcript.pyannote[1482].speaker SPEAKER_06
transcript.pyannote[1482].start 24211.03221875
transcript.pyannote[1482].end 24212.78721875
transcript.pyannote[1483].speaker SPEAKER_06
transcript.pyannote[1483].start 24213.19221875
transcript.pyannote[1483].end 24214.54221875
transcript.pyannote[1484].speaker SPEAKER_06
transcript.pyannote[1484].start 24214.59284375
transcript.pyannote[1484].end 24217.00596875
transcript.pyannote[1485].speaker SPEAKER_06
transcript.pyannote[1485].start 24217.41096875
transcript.pyannote[1485].end 24222.11909375
transcript.pyannote[1486].speaker SPEAKER_06
transcript.pyannote[1486].start 24222.40596875
transcript.pyannote[1486].end 24226.21971875
transcript.pyannote[1487].speaker SPEAKER_06
transcript.pyannote[1487].start 24226.45596875
transcript.pyannote[1487].end 24229.52721875
transcript.pyannote[1488].speaker SPEAKER_06
transcript.pyannote[1488].start 24229.74659375
transcript.pyannote[1488].end 24242.40284375
transcript.pyannote[1489].speaker SPEAKER_03
transcript.pyannote[1489].start 24235.18034375
transcript.pyannote[1489].end 24235.23096875
transcript.pyannote[1490].speaker SPEAKER_08
transcript.pyannote[1490].start 24235.23096875
transcript.pyannote[1490].end 24235.50096875
transcript.pyannote[1491].speaker SPEAKER_03
transcript.pyannote[1491].start 24235.50096875
transcript.pyannote[1491].end 24235.56846875
transcript.pyannote[1492].speaker SPEAKER_06
transcript.pyannote[1492].start 24242.79096875
transcript.pyannote[1492].end 24244.12409375
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 24242.94284375
transcript.pyannote[1493].end 24244.19159375
transcript.pyannote[1494].speaker SPEAKER_06
transcript.pyannote[1494].start 24244.19159375
transcript.pyannote[1494].end 24244.96784375
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 24244.46159375
transcript.pyannote[1495].end 24244.68096875
transcript.pyannote[1496].speaker SPEAKER_08
transcript.pyannote[1496].start 24244.96784375
transcript.pyannote[1496].end 24244.98471875
transcript.pyannote[1497].speaker SPEAKER_15
transcript.pyannote[1497].start 24245.18721875
transcript.pyannote[1497].end 24250.57034375
transcript.pyannote[1498].speaker SPEAKER_15
transcript.pyannote[1498].start 24250.80659375
transcript.pyannote[1498].end 24257.42159375
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 24257.91096875
transcript.pyannote[1499].end 24259.31159375
transcript.pyannote[1500].speaker SPEAKER_15
transcript.pyannote[1500].start 24259.37909375
transcript.pyannote[1500].end 24274.19534375
transcript.pyannote[1501].speaker SPEAKER_00
transcript.pyannote[1501].start 24261.03284375
transcript.pyannote[1501].end 24261.47159375
transcript.pyannote[1502].speaker SPEAKER_15
transcript.pyannote[1502].start 24274.34721875
transcript.pyannote[1502].end 24275.35971875
transcript.pyannote[1503].speaker SPEAKER_08
transcript.pyannote[1503].start 24274.39784375
transcript.pyannote[1503].end 24288.91034375
transcript.pyannote[1504].speaker SPEAKER_15
transcript.pyannote[1504].start 24285.33284375
transcript.pyannote[1504].end 24286.34534375
transcript.pyannote[1505].speaker SPEAKER_15
transcript.pyannote[1505].start 24286.59846875
transcript.pyannote[1505].end 24286.85159375
transcript.pyannote[1506].speaker SPEAKER_15
transcript.pyannote[1506].start 24288.75846875
transcript.pyannote[1506].end 24289.66971875
transcript.pyannote[1507].speaker SPEAKER_08
transcript.pyannote[1507].start 24288.97784375
transcript.pyannote[1507].end 24292.31909375
transcript.pyannote[1508].speaker SPEAKER_15
transcript.pyannote[1508].start 24290.17596875
transcript.pyannote[1508].end 24298.22534375
transcript.pyannote[1509].speaker SPEAKER_08
transcript.pyannote[1509].start 24298.32659375
transcript.pyannote[1509].end 24306.84846875
transcript.pyannote[1510].speaker SPEAKER_08
transcript.pyannote[1510].start 24307.28721875
transcript.pyannote[1510].end 24310.42596875
transcript.pyannote[1511].speaker SPEAKER_08
transcript.pyannote[1511].start 24310.66221875
transcript.pyannote[1511].end 24313.56471875
transcript.pyannote[1512].speaker SPEAKER_08
transcript.pyannote[1512].start 24314.62784375
transcript.pyannote[1512].end 24316.07909375
transcript.pyannote[1513].speaker SPEAKER_08
transcript.pyannote[1513].start 24316.51784375
transcript.pyannote[1513].end 24321.85034375
transcript.pyannote[1514].speaker SPEAKER_06
transcript.pyannote[1514].start 24322.22159375
transcript.pyannote[1514].end 24323.62221875
transcript.pyannote[1515].speaker SPEAKER_06
transcript.pyannote[1515].start 24323.74034375
transcript.pyannote[1515].end 24332.51534375
transcript.pyannote[1516].speaker SPEAKER_06
transcript.pyannote[1516].start 24332.85284375
transcript.pyannote[1516].end 24334.21971875
transcript.pyannote[1517].speaker SPEAKER_06
transcript.pyannote[1517].start 24334.57409375
transcript.pyannote[1517].end 24337.72971875
transcript.pyannote[1518].speaker SPEAKER_11
transcript.pyannote[1518].start 24334.69221875
transcript.pyannote[1518].end 24335.08034375
transcript.pyannote[1519].speaker SPEAKER_06
transcript.pyannote[1519].start 24338.08409375
transcript.pyannote[1519].end 24340.10909375
transcript.pyannote[1520].speaker SPEAKER_06
transcript.pyannote[1520].start 24340.66596875
transcript.pyannote[1520].end 24342.18471875
transcript.pyannote[1521].speaker SPEAKER_06
transcript.pyannote[1521].start 24342.30284375
transcript.pyannote[1521].end 24344.46284375
transcript.pyannote[1522].speaker SPEAKER_06
transcript.pyannote[1522].start 24344.58096875
transcript.pyannote[1522].end 24348.49596875
transcript.pyannote[1523].speaker SPEAKER_06
transcript.pyannote[1523].start 24348.69846875
transcript.pyannote[1523].end 24356.42721875
transcript.pyannote[1524].speaker SPEAKER_06
transcript.pyannote[1524].start 24356.88284375
transcript.pyannote[1524].end 24358.51971875
transcript.pyannote[1525].speaker SPEAKER_06
transcript.pyannote[1525].start 24358.72221875
transcript.pyannote[1525].end 24360.39284375
transcript.pyannote[1526].speaker SPEAKER_06
transcript.pyannote[1526].start 24360.52784375
transcript.pyannote[1526].end 24361.45596875
transcript.pyannote[1527].speaker SPEAKER_06
transcript.pyannote[1527].start 24361.92846875
transcript.pyannote[1527].end 24363.41346875
transcript.pyannote[1528].speaker SPEAKER_06
transcript.pyannote[1528].start 24363.73409375
transcript.pyannote[1528].end 24368.52659375
transcript.pyannote[1529].speaker SPEAKER_06
transcript.pyannote[1529].start 24368.98221875
transcript.pyannote[1529].end 24371.02409375
transcript.pyannote[1530].speaker SPEAKER_06
transcript.pyannote[1530].start 24371.36159375
transcript.pyannote[1530].end 24373.84221875
transcript.pyannote[1531].speaker SPEAKER_06
transcript.pyannote[1531].start 24373.85909375
transcript.pyannote[1531].end 24375.54659375
transcript.pyannote[1532].speaker SPEAKER_06
transcript.pyannote[1532].start 24375.71534375
transcript.pyannote[1532].end 24377.25096875
transcript.pyannote[1533].speaker SPEAKER_06
transcript.pyannote[1533].start 24377.57159375
transcript.pyannote[1533].end 24379.10721875
transcript.pyannote[1534].speaker SPEAKER_06
transcript.pyannote[1534].start 24379.46159375
transcript.pyannote[1534].end 24379.91721875
transcript.pyannote[1535].speaker SPEAKER_06
transcript.pyannote[1535].start 24380.15346875
transcript.pyannote[1535].end 24384.23721875
transcript.pyannote[1536].speaker SPEAKER_08
transcript.pyannote[1536].start 24384.23721875
transcript.pyannote[1536].end 24385.80659375
transcript.pyannote[1537].speaker SPEAKER_08
transcript.pyannote[1537].start 24386.16096875
transcript.pyannote[1537].end 24390.27846875
transcript.pyannote[1538].speaker SPEAKER_08
transcript.pyannote[1538].start 24390.53159375
transcript.pyannote[1538].end 24395.44221875
transcript.pyannote[1539].speaker SPEAKER_08
transcript.pyannote[1539].start 24395.64471875
transcript.pyannote[1539].end 24407.52471875
transcript.pyannote[1540].speaker SPEAKER_15
transcript.pyannote[1540].start 24404.38596875
transcript.pyannote[1540].end 24413.05971875
transcript.pyannote[1541].speaker SPEAKER_15
transcript.pyannote[1541].start 24413.49846875
transcript.pyannote[1541].end 24422.57721875
transcript.pyannote[1542].speaker SPEAKER_15
transcript.pyannote[1542].start 24422.86409375
transcript.pyannote[1542].end 24426.22221875
transcript.pyannote[1543].speaker SPEAKER_15
transcript.pyannote[1543].start 24426.61034375
transcript.pyannote[1543].end 24426.82971875
transcript.pyannote[1544].speaker SPEAKER_15
transcript.pyannote[1544].start 24427.18409375
transcript.pyannote[1544].end 24427.92659375
transcript.pyannote[1545].speaker SPEAKER_08
transcript.pyannote[1545].start 24427.31909375
transcript.pyannote[1545].end 24434.32221875
transcript.pyannote[1546].speaker SPEAKER_15
transcript.pyannote[1546].start 24433.88346875
transcript.pyannote[1546].end 24443.24909375
transcript.pyannote[1547].speaker SPEAKER_08
transcript.pyannote[1547].start 24434.65971875
transcript.pyannote[1547].end 24436.43159375
transcript.pyannote[1548].speaker SPEAKER_15
transcript.pyannote[1548].start 24443.70471875
transcript.pyannote[1548].end 24447.18096875
transcript.pyannote[1549].speaker SPEAKER_08
transcript.pyannote[1549].start 24447.36659375
transcript.pyannote[1549].end 24455.65221875
transcript.pyannote[1550].speaker SPEAKER_15
transcript.pyannote[1550].start 24454.57221875
transcript.pyannote[1550].end 24460.10721875
transcript.pyannote[1551].speaker SPEAKER_08
transcript.pyannote[1551].start 24458.25096875
transcript.pyannote[1551].end 24458.52096875
transcript.pyannote[1552].speaker SPEAKER_08
transcript.pyannote[1552].start 24460.27596875
transcript.pyannote[1552].end 24470.56971875
transcript.pyannote[1553].speaker SPEAKER_08
transcript.pyannote[1553].start 24470.58659375
transcript.pyannote[1553].end 24470.60346875
transcript.pyannote[1554].speaker SPEAKER_11
transcript.pyannote[1554].start 24470.60346875
transcript.pyannote[1554].end 24471.22784375
transcript.pyannote[1555].speaker SPEAKER_08
transcript.pyannote[1555].start 24470.89034375
transcript.pyannote[1555].end 24473.89409375
transcript.pyannote[1556].speaker SPEAKER_08
transcript.pyannote[1556].start 24474.53534375
transcript.pyannote[1556].end 24475.80096875
transcript.pyannote[1557].speaker SPEAKER_15
transcript.pyannote[1557].start 24475.88534375
transcript.pyannote[1557].end 24475.90221875
transcript.pyannote[1558].speaker SPEAKER_11
transcript.pyannote[1558].start 24475.90221875
transcript.pyannote[1558].end 24476.05409375
transcript.pyannote[1559].speaker SPEAKER_15
transcript.pyannote[1559].start 24476.05409375
transcript.pyannote[1559].end 24476.07096875
transcript.pyannote[1560].speaker SPEAKER_11
transcript.pyannote[1560].start 24476.07096875
transcript.pyannote[1560].end 24476.10471875
transcript.pyannote[1561].speaker SPEAKER_08
transcript.pyannote[1561].start 24476.57721875
transcript.pyannote[1561].end 24477.04971875
transcript.pyannote[1562].speaker SPEAKER_06
transcript.pyannote[1562].start 24477.04971875
transcript.pyannote[1562].end 24477.28596875
transcript.pyannote[1563].speaker SPEAKER_08
transcript.pyannote[1563].start 24477.89346875
transcript.pyannote[1563].end 24477.91034375
transcript.pyannote[1564].speaker SPEAKER_06
transcript.pyannote[1564].start 24477.91034375
transcript.pyannote[1564].end 24479.37846875
transcript.pyannote[1565].speaker SPEAKER_08
transcript.pyannote[1565].start 24477.92721875
transcript.pyannote[1565].end 24478.14659375
transcript.pyannote[1566].speaker SPEAKER_06
transcript.pyannote[1566].start 24479.61471875
transcript.pyannote[1566].end 24483.24284375
transcript.pyannote[1567].speaker SPEAKER_06
transcript.pyannote[1567].start 24483.46221875
transcript.pyannote[1567].end 24488.00159375
transcript.pyannote[1568].speaker SPEAKER_06
transcript.pyannote[1568].start 24488.15346875
transcript.pyannote[1568].end 24490.27971875
transcript.pyannote[1569].speaker SPEAKER_06
transcript.pyannote[1569].start 24490.31346875
transcript.pyannote[1569].end 24491.30909375
transcript.pyannote[1570].speaker SPEAKER_06
transcript.pyannote[1570].start 24491.52846875
transcript.pyannote[1570].end 24496.33784375
transcript.pyannote[1571].speaker SPEAKER_06
transcript.pyannote[1571].start 24496.64159375
transcript.pyannote[1571].end 24497.77221875
transcript.pyannote[1572].speaker SPEAKER_08
transcript.pyannote[1572].start 24497.77221875
transcript.pyannote[1572].end 24497.80596875
transcript.pyannote[1573].speaker SPEAKER_06
transcript.pyannote[1573].start 24498.21096875
transcript.pyannote[1573].end 24498.22784375
transcript.pyannote[1574].speaker SPEAKER_08
transcript.pyannote[1574].start 24498.22784375
transcript.pyannote[1574].end 24502.14284375
transcript.pyannote[1575].speaker SPEAKER_08
transcript.pyannote[1575].start 24502.69971875
transcript.pyannote[1575].end 24503.32409375
transcript.pyannote[1576].speaker SPEAKER_08
transcript.pyannote[1576].start 24503.54346875
transcript.pyannote[1576].end 24506.74971875
transcript.pyannote[1577].speaker SPEAKER_08
transcript.pyannote[1577].start 24506.96909375
transcript.pyannote[1577].end 24511.62659375
transcript.pyannote[1578].speaker SPEAKER_08
transcript.pyannote[1578].start 24512.31846875
transcript.pyannote[1578].end 24517.58346875
transcript.pyannote[1579].speaker SPEAKER_08
transcript.pyannote[1579].start 24517.98846875
transcript.pyannote[1579].end 24524.33346875
transcript.pyannote[1580].speaker SPEAKER_08
transcript.pyannote[1580].start 24524.72159375
transcript.pyannote[1580].end 24525.31221875
transcript.pyannote[1581].speaker SPEAKER_08
transcript.pyannote[1581].start 24525.86909375
transcript.pyannote[1581].end 24528.43409375
transcript.pyannote[1582].speaker SPEAKER_08
transcript.pyannote[1582].start 24529.64909375
transcript.pyannote[1582].end 24530.32409375
transcript.pyannote[1583].speaker SPEAKER_08
transcript.pyannote[1583].start 24530.56034375
transcript.pyannote[1583].end 24531.99471875
transcript.pyannote[1584].speaker SPEAKER_08
transcript.pyannote[1584].start 24532.28159375
transcript.pyannote[1584].end 24533.74971875
transcript.pyannote[1585].speaker SPEAKER_08
transcript.pyannote[1585].start 24534.40784375
transcript.pyannote[1585].end 24535.18409375
transcript.pyannote[1586].speaker SPEAKER_08
transcript.pyannote[1586].start 24535.25159375
transcript.pyannote[1586].end 24540.63471875
transcript.pyannote[1587].speaker SPEAKER_08
transcript.pyannote[1587].start 24541.69784375
transcript.pyannote[1587].end 24543.67221875
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 24544.21221875
transcript.pyannote[1588].end 24545.05596875
transcript.pyannote[1589].speaker SPEAKER_08
transcript.pyannote[1589].start 24545.19096875
transcript.pyannote[1589].end 24547.09784375
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 24547.48596875
transcript.pyannote[1590].end 24548.31284375
transcript.pyannote[1591].speaker SPEAKER_08
transcript.pyannote[1591].start 24548.61659375
transcript.pyannote[1591].end 24553.00409375
transcript.pyannote[1592].speaker SPEAKER_08
transcript.pyannote[1592].start 24553.79721875
transcript.pyannote[1592].end 24554.80971875
transcript.pyannote[1593].speaker SPEAKER_08
transcript.pyannote[1593].start 24555.24846875
transcript.pyannote[1593].end 24560.58096875
transcript.pyannote[1594].speaker SPEAKER_08
transcript.pyannote[1594].start 24561.08721875
transcript.pyannote[1594].end 24567.14534375
transcript.pyannote[1595].speaker SPEAKER_08
transcript.pyannote[1595].start 24567.65159375
transcript.pyannote[1595].end 24568.17471875
transcript.pyannote[1596].speaker SPEAKER_08
transcript.pyannote[1596].start 24568.71471875
transcript.pyannote[1596].end 24569.10284375
transcript.pyannote[1597].speaker SPEAKER_08
transcript.pyannote[1597].start 24569.76096875
transcript.pyannote[1597].end 24570.63846875
transcript.pyannote[1598].speaker SPEAKER_08
transcript.pyannote[1598].start 24570.77346875
transcript.pyannote[1598].end 24573.10221875
transcript.pyannote[1599].speaker SPEAKER_08
transcript.pyannote[1599].start 24573.54096875
transcript.pyannote[1599].end 24575.92034375
transcript.pyannote[1600].speaker SPEAKER_08
transcript.pyannote[1600].start 24576.44346875
transcript.pyannote[1600].end 24577.35471875
transcript.pyannote[1601].speaker SPEAKER_08
transcript.pyannote[1601].start 24577.75971875
transcript.pyannote[1601].end 24581.42159375
transcript.pyannote[1602].speaker SPEAKER_08
transcript.pyannote[1602].start 24581.82659375
transcript.pyannote[1602].end 24584.88096875
transcript.pyannote[1603].speaker SPEAKER_08
transcript.pyannote[1603].start 24585.01596875
transcript.pyannote[1603].end 24585.03284375
transcript.pyannote[1604].speaker SPEAKER_08
transcript.pyannote[1604].start 24585.08346875
transcript.pyannote[1604].end 24586.26471875
transcript.pyannote[1605].speaker SPEAKER_08
transcript.pyannote[1605].start 24586.41659375
transcript.pyannote[1605].end 24587.66534375
transcript.pyannote[1606].speaker SPEAKER_08
transcript.pyannote[1606].start 24588.50909375
transcript.pyannote[1606].end 24590.26409375
transcript.pyannote[1607].speaker SPEAKER_15
transcript.pyannote[1607].start 24590.78721875
transcript.pyannote[1607].end 24593.82471875
transcript.pyannote[1608].speaker SPEAKER_15
transcript.pyannote[1608].start 24594.31409375
transcript.pyannote[1608].end 24600.16971875
transcript.pyannote[1609].speaker SPEAKER_15
transcript.pyannote[1609].start 24600.35534375
transcript.pyannote[1609].end 24603.81471875
transcript.pyannote[1610].speaker SPEAKER_08
transcript.pyannote[1610].start 24604.42221875
transcript.pyannote[1610].end 24606.70034375
transcript.pyannote[1611].speaker SPEAKER_08
transcript.pyannote[1611].start 24606.73409375
transcript.pyannote[1611].end 24612.80909375
transcript.pyannote[1612].speaker SPEAKER_15
transcript.pyannote[1612].start 24608.11784375
transcript.pyannote[1612].end 24608.13471875
transcript.pyannote[1613].speaker SPEAKER_15
transcript.pyannote[1613].start 24608.25284375
transcript.pyannote[1613].end 24608.30346875
transcript.pyannote[1614].speaker SPEAKER_08
transcript.pyannote[1614].start 24613.24784375
transcript.pyannote[1614].end 24614.96909375
transcript.pyannote[1615].speaker SPEAKER_15
transcript.pyannote[1615].start 24614.91846875
transcript.pyannote[1615].end 24618.22596875
transcript.pyannote[1616].speaker SPEAKER_08
transcript.pyannote[1616].start 24615.47534375
transcript.pyannote[1616].end 24617.14596875
transcript.pyannote[1617].speaker SPEAKER_06
transcript.pyannote[1617].start 24619.67721875
transcript.pyannote[1617].end 24629.66721875
transcript.pyannote[1618].speaker SPEAKER_15
transcript.pyannote[1618].start 24619.71096875
transcript.pyannote[1618].end 24623.62596875
transcript.pyannote[1619].speaker SPEAKER_11
transcript.pyannote[1619].start 24623.62596875
transcript.pyannote[1619].end 24623.64284375
transcript.pyannote[1620].speaker SPEAKER_11
transcript.pyannote[1620].start 24629.53221875
transcript.pyannote[1620].end 24629.85284375
transcript.pyannote[1621].speaker SPEAKER_06
transcript.pyannote[1621].start 24629.85284375
transcript.pyannote[1621].end 24631.87784375
transcript.pyannote[1622].speaker SPEAKER_11
transcript.pyannote[1622].start 24631.92846875
transcript.pyannote[1622].end 24632.38409375
transcript.pyannote[1623].speaker SPEAKER_06
transcript.pyannote[1623].start 24632.31659375
transcript.pyannote[1623].end 24633.75096875
transcript.pyannote[1624].speaker SPEAKER_06
transcript.pyannote[1624].start 24634.08846875
transcript.pyannote[1624].end 24643.97721875
transcript.pyannote[1625].speaker SPEAKER_11
transcript.pyannote[1625].start 24637.68284375
transcript.pyannote[1625].end 24638.03721875
transcript.pyannote[1626].speaker SPEAKER_08
transcript.pyannote[1626].start 24643.97721875
transcript.pyannote[1626].end 24644.16284375
transcript.pyannote[1627].speaker SPEAKER_06
transcript.pyannote[1627].start 24644.16284375
transcript.pyannote[1627].end 24644.29784375
transcript.pyannote[1628].speaker SPEAKER_08
transcript.pyannote[1628].start 24644.29784375
transcript.pyannote[1628].end 24647.40284375
transcript.pyannote[1629].speaker SPEAKER_08
transcript.pyannote[1629].start 24647.50409375
transcript.pyannote[1629].end 24650.27159375
transcript.pyannote[1630].speaker SPEAKER_08
transcript.pyannote[1630].start 24650.65971875
transcript.pyannote[1630].end 24652.83659375
transcript.pyannote[1631].speaker SPEAKER_08
transcript.pyannote[1631].start 24653.51159375
transcript.pyannote[1631].end 24654.92909375
transcript.pyannote[1632].speaker SPEAKER_08
transcript.pyannote[1632].start 24655.48596875
transcript.pyannote[1632].end 24658.37159375
transcript.pyannote[1633].speaker SPEAKER_08
transcript.pyannote[1633].start 24658.55721875
transcript.pyannote[1633].end 24661.91534375
transcript.pyannote[1634].speaker SPEAKER_08
transcript.pyannote[1634].start 24662.38784375
transcript.pyannote[1634].end 24671.51721875
transcript.pyannote[1635].speaker SPEAKER_08
transcript.pyannote[1635].start 24672.52971875
transcript.pyannote[1635].end 24673.03596875
transcript.pyannote[1636].speaker SPEAKER_08
transcript.pyannote[1636].start 24673.20471875
transcript.pyannote[1636].end 24676.91721875
transcript.pyannote[1637].speaker SPEAKER_06
transcript.pyannote[1637].start 24676.98471875
transcript.pyannote[1637].end 24679.17846875
transcript.pyannote[1638].speaker SPEAKER_06
transcript.pyannote[1638].start 24679.51596875
transcript.pyannote[1638].end 24686.31659375
transcript.pyannote[1639].speaker SPEAKER_06
transcript.pyannote[1639].start 24686.43471875
transcript.pyannote[1639].end 24690.72096875
transcript.pyannote[1640].speaker SPEAKER_06
transcript.pyannote[1640].start 24690.82221875
transcript.pyannote[1640].end 24692.61096875
transcript.pyannote[1641].speaker SPEAKER_06
transcript.pyannote[1641].start 24692.96534375
transcript.pyannote[1641].end 24693.38721875
transcript.pyannote[1642].speaker SPEAKER_06
transcript.pyannote[1642].start 24693.57284375
transcript.pyannote[1642].end 24694.45034375
transcript.pyannote[1643].speaker SPEAKER_06
transcript.pyannote[1643].start 24694.77096875
transcript.pyannote[1643].end 24699.12471875
transcript.pyannote[1644].speaker SPEAKER_08
transcript.pyannote[1644].start 24699.12471875
transcript.pyannote[1644].end 24702.41534375
transcript.pyannote[1645].speaker SPEAKER_08
transcript.pyannote[1645].start 24703.00596875
transcript.pyannote[1645].end 24713.14784375
transcript.pyannote[1646].speaker SPEAKER_06
transcript.pyannote[1646].start 24709.85721875
transcript.pyannote[1646].end 24712.03409375
transcript.pyannote[1647].speaker SPEAKER_06
transcript.pyannote[1647].start 24713.14784375
transcript.pyannote[1647].end 24713.21534375
transcript.pyannote[1648].speaker SPEAKER_08
transcript.pyannote[1648].start 24713.21534375
transcript.pyannote[1648].end 24714.29534375
transcript.pyannote[1649].speaker SPEAKER_06
transcript.pyannote[1649].start 24713.28284375
transcript.pyannote[1649].end 24715.94909375
transcript.pyannote[1650].speaker SPEAKER_08
transcript.pyannote[1650].start 24715.88159375
transcript.pyannote[1650].end 24717.87284375
transcript.pyannote[1651].speaker SPEAKER_08
transcript.pyannote[1651].start 24719.10471875
transcript.pyannote[1651].end 24721.33221875
transcript.pyannote[1652].speaker SPEAKER_08
transcript.pyannote[1652].start 24721.70346875
transcript.pyannote[1652].end 24726.61409375
transcript.pyannote[1653].speaker SPEAKER_08
transcript.pyannote[1653].start 24727.28909375
transcript.pyannote[1653].end 24732.35159375
transcript.pyannote[1654].speaker SPEAKER_08
transcript.pyannote[1654].start 24732.89159375
transcript.pyannote[1654].end 24735.92909375
transcript.pyannote[1655].speaker SPEAKER_08
transcript.pyannote[1655].start 24736.26659375
transcript.pyannote[1655].end 24736.80659375
transcript.pyannote[1656].speaker SPEAKER_08
transcript.pyannote[1656].start 24737.21159375
transcript.pyannote[1656].end 24741.34596875
transcript.pyannote[1657].speaker SPEAKER_08
transcript.pyannote[1657].start 24741.64971875
transcript.pyannote[1657].end 24751.38659375
transcript.pyannote[1658].speaker SPEAKER_08
transcript.pyannote[1658].start 24751.65659375
transcript.pyannote[1658].end 24752.93909375
transcript.pyannote[1659].speaker SPEAKER_08
transcript.pyannote[1659].start 24752.98971875
transcript.pyannote[1659].end 24753.02346875
transcript.pyannote[1660].speaker SPEAKER_08
transcript.pyannote[1660].start 24753.09096875
transcript.pyannote[1660].end 24753.79971875
transcript.pyannote[1661].speaker SPEAKER_08
transcript.pyannote[1661].start 24754.76159375
transcript.pyannote[1661].end 24758.72721875
transcript.pyannote[1662].speaker SPEAKER_08
transcript.pyannote[1662].start 24759.36846875
transcript.pyannote[1662].end 24759.94221875
transcript.pyannote[1663].speaker SPEAKER_08
transcript.pyannote[1663].start 24760.48221875
transcript.pyannote[1663].end 24763.72221875
transcript.pyannote[1664].speaker SPEAKER_15
transcript.pyannote[1664].start 24761.19096875
transcript.pyannote[1664].end 24761.34284375
transcript.pyannote[1665].speaker SPEAKER_08
transcript.pyannote[1665].start 24763.95846875
transcript.pyannote[1665].end 24764.38034375
transcript.pyannote[1666].speaker SPEAKER_08
transcript.pyannote[1666].start 24764.73471875
transcript.pyannote[1666].end 24766.37159375
transcript.pyannote[1667].speaker SPEAKER_08
transcript.pyannote[1667].start 24766.84409375
transcript.pyannote[1667].end 24767.62034375
transcript.pyannote[1668].speaker SPEAKER_15
transcript.pyannote[1668].start 24767.63721875
transcript.pyannote[1668].end 24770.79284375
transcript.pyannote[1669].speaker SPEAKER_08
transcript.pyannote[1669].start 24769.20659375
transcript.pyannote[1669].end 24769.69596875
transcript.pyannote[1670].speaker SPEAKER_08
transcript.pyannote[1670].start 24770.79284375
transcript.pyannote[1670].end 24771.65346875
transcript.pyannote[1671].speaker SPEAKER_15
transcript.pyannote[1671].start 24770.80971875
transcript.pyannote[1671].end 24771.07971875
transcript.pyannote[1672].speaker SPEAKER_15
transcript.pyannote[1672].start 24772.00784375
transcript.pyannote[1672].end 24774.58971875
transcript.pyannote[1673].speaker SPEAKER_08
transcript.pyannote[1673].start 24774.26909375
transcript.pyannote[1673].end 24779.04471875
transcript.pyannote[1674].speaker SPEAKER_08
transcript.pyannote[1674].start 24780.00659375
transcript.pyannote[1674].end 24784.39409375
transcript.pyannote[1675].speaker SPEAKER_08
transcript.pyannote[1675].start 24784.61346875
transcript.pyannote[1675].end 24787.92096875
transcript.pyannote[1676].speaker SPEAKER_08
transcript.pyannote[1676].start 24788.24159375
transcript.pyannote[1676].end 24790.73909375
transcript.pyannote[1677].speaker SPEAKER_08
transcript.pyannote[1677].start 24791.09346875
transcript.pyannote[1677].end 24794.04659375
transcript.pyannote[1678].speaker SPEAKER_08
transcript.pyannote[1678].start 24794.43471875
transcript.pyannote[1678].end 24795.61596875
transcript.pyannote[1679].speaker SPEAKER_08
transcript.pyannote[1679].start 24796.05471875
transcript.pyannote[1679].end 24797.84346875
transcript.pyannote[1680].speaker SPEAKER_08
transcript.pyannote[1680].start 24798.13034375
transcript.pyannote[1680].end 24799.29471875
transcript.pyannote[1681].speaker SPEAKER_08
transcript.pyannote[1681].start 24799.61534375
transcript.pyannote[1681].end 24800.67846875
transcript.pyannote[1682].speaker SPEAKER_08
transcript.pyannote[1682].start 24801.03284375
transcript.pyannote[1682].end 24802.31534375
transcript.pyannote[1683].speaker SPEAKER_08
transcript.pyannote[1683].start 24802.60221875
transcript.pyannote[1683].end 24805.57221875
transcript.pyannote[1684].speaker SPEAKER_08
transcript.pyannote[1684].start 24806.23034375
transcript.pyannote[1684].end 24808.59284375
transcript.pyannote[1685].speaker SPEAKER_08
transcript.pyannote[1685].start 24808.71096875
transcript.pyannote[1685].end 24809.77409375
transcript.pyannote[1686].speaker SPEAKER_11
transcript.pyannote[1686].start 24809.77409375
transcript.pyannote[1686].end 24809.80784375
transcript.pyannote[1687].speaker SPEAKER_08
transcript.pyannote[1687].start 24810.87096875
transcript.pyannote[1687].end 24811.39409375
transcript.pyannote[1688].speaker SPEAKER_08
transcript.pyannote[1688].start 24811.88346875
transcript.pyannote[1688].end 24815.44409375
transcript.pyannote[1689].speaker SPEAKER_15
transcript.pyannote[1689].start 24815.44409375
transcript.pyannote[1689].end 24816.00096875
transcript.pyannote[1690].speaker SPEAKER_08
transcript.pyannote[1690].start 24815.57909375
transcript.pyannote[1690].end 24820.59096875
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 24820.52346875
transcript.pyannote[1691].end 24821.82284375
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 24822.17721875
transcript.pyannote[1692].end 24824.25284375
transcript.pyannote[1693].speaker SPEAKER_08
transcript.pyannote[1693].start 24823.91534375
transcript.pyannote[1693].end 24824.48909375
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 24824.69159375
transcript.pyannote[1694].end 24826.61534375
transcript.pyannote[1695].speaker SPEAKER_08
transcript.pyannote[1695].start 24826.61534375
transcript.pyannote[1695].end 24827.45909375
transcript.pyannote[1696].speaker SPEAKER_15
transcript.pyannote[1696].start 24826.63221875
transcript.pyannote[1696].end 24826.80096875
transcript.pyannote[1697].speaker SPEAKER_15
transcript.pyannote[1697].start 24826.85159375
transcript.pyannote[1697].end 24829.43346875
transcript.pyannote[1698].speaker SPEAKER_08
transcript.pyannote[1698].start 24830.14221875
transcript.pyannote[1698].end 24837.90471875
transcript.pyannote[1699].speaker SPEAKER_08
transcript.pyannote[1699].start 24838.44471875
transcript.pyannote[1699].end 24839.30534375
transcript.pyannote[1700].speaker SPEAKER_08
transcript.pyannote[1700].start 24840.41909375
transcript.pyannote[1700].end 24841.95471875
transcript.pyannote[1701].speaker SPEAKER_15
transcript.pyannote[1701].start 24842.27534375
transcript.pyannote[1701].end 24843.70971875
transcript.pyannote[1702].speaker SPEAKER_15
transcript.pyannote[1702].start 24844.85721875
transcript.pyannote[1702].end 24849.51471875
transcript.pyannote[1703].speaker SPEAKER_15
transcript.pyannote[1703].start 24849.66659375
transcript.pyannote[1703].end 24852.87284375
transcript.pyannote[1704].speaker SPEAKER_08
transcript.pyannote[1704].start 24853.54784375
transcript.pyannote[1704].end 24857.12534375
transcript.pyannote[1705].speaker SPEAKER_15
transcript.pyannote[1705].start 24857.68221875
transcript.pyannote[1705].end 24858.08721875
transcript.pyannote[1706].speaker SPEAKER_08
transcript.pyannote[1706].start 24858.08721875
transcript.pyannote[1706].end 24865.09034375
transcript.pyannote[1707].speaker SPEAKER_15
transcript.pyannote[1707].start 24859.03221875
transcript.pyannote[1707].end 24859.84221875
transcript.pyannote[1708].speaker SPEAKER_15
transcript.pyannote[1708].start 24861.09096875
transcript.pyannote[1708].end 24861.61409375
transcript.pyannote[1709].speaker SPEAKER_08
transcript.pyannote[1709].start 24865.88346875
transcript.pyannote[1709].end 24869.91659375
transcript.pyannote[1710].speaker SPEAKER_08
transcript.pyannote[1710].start 24870.55784375
transcript.pyannote[1710].end 24873.64596875
transcript.pyannote[1711].speaker SPEAKER_08
transcript.pyannote[1711].start 24873.73034375
transcript.pyannote[1711].end 24874.94534375
transcript.pyannote[1712].speaker SPEAKER_08
transcript.pyannote[1712].start 24875.14784375
transcript.pyannote[1712].end 24876.63284375
transcript.pyannote[1713].speaker SPEAKER_08
transcript.pyannote[1713].start 24876.81846875
transcript.pyannote[1713].end 24879.82221875
transcript.pyannote[1714].speaker SPEAKER_08
transcript.pyannote[1714].start 24880.15971875
transcript.pyannote[1714].end 24881.03721875
transcript.pyannote[1715].speaker SPEAKER_08
transcript.pyannote[1715].start 24881.94846875
transcript.pyannote[1715].end 24883.85534375
transcript.pyannote[1716].speaker SPEAKER_08
transcript.pyannote[1716].start 24884.14221875
transcript.pyannote[1716].end 24886.11659375
transcript.pyannote[1717].speaker SPEAKER_08
transcript.pyannote[1717].start 24886.42034375
transcript.pyannote[1717].end 24890.89221875
transcript.pyannote[1718].speaker SPEAKER_08
transcript.pyannote[1718].start 24891.43221875
transcript.pyannote[1718].end 24892.12409375
transcript.pyannote[1719].speaker SPEAKER_08
transcript.pyannote[1719].start 24892.49534375
transcript.pyannote[1719].end 24896.49471875
transcript.pyannote[1720].speaker SPEAKER_08
transcript.pyannote[1720].start 24896.79846875
transcript.pyannote[1720].end 24899.04284375
transcript.pyannote[1721].speaker SPEAKER_08
transcript.pyannote[1721].start 24899.51534375
transcript.pyannote[1721].end 24901.45596875
transcript.pyannote[1722].speaker SPEAKER_08
transcript.pyannote[1722].start 24901.75971875
transcript.pyannote[1722].end 24903.14346875
transcript.pyannote[1723].speaker SPEAKER_08
transcript.pyannote[1723].start 24903.27846875
transcript.pyannote[1723].end 24904.40909375
transcript.pyannote[1724].speaker SPEAKER_08
transcript.pyannote[1724].start 24904.86471875
transcript.pyannote[1724].end 24909.16784375
transcript.pyannote[1725].speaker SPEAKER_08
transcript.pyannote[1725].start 24909.52221875
transcript.pyannote[1725].end 24912.07034375
transcript.pyannote[1726].speaker SPEAKER_15
transcript.pyannote[1726].start 24912.44159375
transcript.pyannote[1726].end 24918.31409375
transcript.pyannote[1727].speaker SPEAKER_15
transcript.pyannote[1727].start 24918.46596875
transcript.pyannote[1727].end 24919.86659375
transcript.pyannote[1728].speaker SPEAKER_15
transcript.pyannote[1728].start 24920.22096875
transcript.pyannote[1728].end 24921.79034375
transcript.pyannote[1729].speaker SPEAKER_15
transcript.pyannote[1729].start 24921.92534375
transcript.pyannote[1729].end 24929.95784375
transcript.pyannote[1730].speaker SPEAKER_15
transcript.pyannote[1730].start 24930.48096875
transcript.pyannote[1730].end 24933.26534375
transcript.pyannote[1731].speaker SPEAKER_15
transcript.pyannote[1731].start 24933.51846875
transcript.pyannote[1731].end 24936.75846875
transcript.pyannote[1732].speaker SPEAKER_15
transcript.pyannote[1732].start 24936.97784375
transcript.pyannote[1732].end 24944.58846875
transcript.pyannote[1733].speaker SPEAKER_15
transcript.pyannote[1733].start 24944.99346875
transcript.pyannote[1733].end 24945.98909375
transcript.pyannote[1734].speaker SPEAKER_08
transcript.pyannote[1734].start 24945.04409375
transcript.pyannote[1734].end 24952.11471875
transcript.pyannote[1735].speaker SPEAKER_15
transcript.pyannote[1735].start 24946.03971875
transcript.pyannote[1735].end 24946.15784375
transcript.pyannote[1736].speaker SPEAKER_15
transcript.pyannote[1736].start 24946.37721875
transcript.pyannote[1736].end 24947.35596875
transcript.pyannote[1737].speaker SPEAKER_15
transcript.pyannote[1737].start 24948.84096875
transcript.pyannote[1737].end 24948.89159375
transcript.pyannote[1738].speaker SPEAKER_06
transcript.pyannote[1738].start 24948.89159375
transcript.pyannote[1738].end 24948.90846875
transcript.pyannote[1739].speaker SPEAKER_15
transcript.pyannote[1739].start 24948.90846875
transcript.pyannote[1739].end 24948.95909375
transcript.pyannote[1740].speaker SPEAKER_06
transcript.pyannote[1740].start 24948.95909375
transcript.pyannote[1740].end 24960.48471875
transcript.pyannote[1741].speaker SPEAKER_08
transcript.pyannote[1741].start 24956.95784375
transcript.pyannote[1741].end 24957.36284375
transcript.pyannote[1742].speaker SPEAKER_06
transcript.pyannote[1742].start 24960.67034375
transcript.pyannote[1742].end 24966.50909375
transcript.pyannote[1743].speaker SPEAKER_06
transcript.pyannote[1743].start 24966.66096875
transcript.pyannote[1743].end 24971.60534375
transcript.pyannote[1744].speaker SPEAKER_06
transcript.pyannote[1744].start 24971.89221875
transcript.pyannote[1744].end 24972.53346875
transcript.pyannote[1745].speaker SPEAKER_06
transcript.pyannote[1745].start 24972.87096875
transcript.pyannote[1745].end 24974.82846875
transcript.pyannote[1746].speaker SPEAKER_06
transcript.pyannote[1746].start 24975.21659375
transcript.pyannote[1746].end 24977.08971875
transcript.pyannote[1747].speaker SPEAKER_06
transcript.pyannote[1747].start 24977.37659375
transcript.pyannote[1747].end 24979.60409375
transcript.pyannote[1748].speaker SPEAKER_06
transcript.pyannote[1748].start 24979.72221875
transcript.pyannote[1748].end 24981.51096875
transcript.pyannote[1749].speaker SPEAKER_06
transcript.pyannote[1749].start 24981.59534375
transcript.pyannote[1749].end 24983.78909375
transcript.pyannote[1750].speaker SPEAKER_06
transcript.pyannote[1750].start 24983.97471875
transcript.pyannote[1750].end 24987.38346875
transcript.pyannote[1751].speaker SPEAKER_06
transcript.pyannote[1751].start 24987.68721875
transcript.pyannote[1751].end 24989.34096875
transcript.pyannote[1752].speaker SPEAKER_08
transcript.pyannote[1752].start 24989.34096875
transcript.pyannote[1752].end 24989.35784375
transcript.pyannote[1753].speaker SPEAKER_06
transcript.pyannote[1753].start 24989.71221875
transcript.pyannote[1753].end 24989.96534375
transcript.pyannote[1754].speaker SPEAKER_08
transcript.pyannote[1754].start 24989.96534375
transcript.pyannote[1754].end 24994.60596875
transcript.pyannote[1755].speaker SPEAKER_08
transcript.pyannote[1755].start 24995.04471875
transcript.pyannote[1755].end 24999.58409375
transcript.pyannote[1756].speaker SPEAKER_08
transcript.pyannote[1756].start 25000.00596875
transcript.pyannote[1756].end 25005.74346875
transcript.pyannote[1757].speaker SPEAKER_08
transcript.pyannote[1757].start 25005.91221875
transcript.pyannote[1757].end 25007.14409375
transcript.pyannote[1758].speaker SPEAKER_08
transcript.pyannote[1758].start 25007.43096875
transcript.pyannote[1758].end 25014.92346875
transcript.pyannote[1759].speaker SPEAKER_11
transcript.pyannote[1759].start 25014.41721875
transcript.pyannote[1759].end 25015.22721875
transcript.pyannote[1760].speaker SPEAKER_08
transcript.pyannote[1760].start 25015.22721875
transcript.pyannote[1760].end 25021.16721875
transcript.pyannote[1761].speaker SPEAKER_08
transcript.pyannote[1761].start 25021.53846875
transcript.pyannote[1761].end 25027.27596875
transcript.pyannote[1762].speaker SPEAKER_08
transcript.pyannote[1762].start 25027.47846875
transcript.pyannote[1762].end 25033.95846875
transcript.pyannote[1763].speaker SPEAKER_08
transcript.pyannote[1763].start 25035.24096875
transcript.pyannote[1763].end 25036.27034375
transcript.pyannote[1764].speaker SPEAKER_08
transcript.pyannote[1764].start 25036.64159375
transcript.pyannote[1764].end 25041.29909375
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 25040.21909375
transcript.pyannote[1765].end 25041.85596875
transcript.pyannote[1766].speaker SPEAKER_08
transcript.pyannote[1766].start 25041.43409375
transcript.pyannote[1766].end 25042.12596875
transcript.pyannote[1767].speaker SPEAKER_15
transcript.pyannote[1767].start 25042.12596875
transcript.pyannote[1767].end 25042.96971875
transcript.pyannote[1768].speaker SPEAKER_08
transcript.pyannote[1768].start 25042.96971875
transcript.pyannote[1768].end 25043.03721875
transcript.pyannote[1769].speaker SPEAKER_15
transcript.pyannote[1769].start 25043.03721875
transcript.pyannote[1769].end 25043.40846875
transcript.pyannote[1770].speaker SPEAKER_08
transcript.pyannote[1770].start 25043.40846875
transcript.pyannote[1770].end 25043.45909375
transcript.pyannote[1771].speaker SPEAKER_15
transcript.pyannote[1771].start 25043.45909375
transcript.pyannote[1771].end 25043.47596875
transcript.pyannote[1772].speaker SPEAKER_08
transcript.pyannote[1772].start 25043.47596875
transcript.pyannote[1772].end 25053.95534375
transcript.pyannote[1773].speaker SPEAKER_15
transcript.pyannote[1773].start 25043.52659375
transcript.pyannote[1773].end 25044.42096875
transcript.pyannote[1774].speaker SPEAKER_08
transcript.pyannote[1774].start 25053.98909375
transcript.pyannote[1774].end 25054.57971875
transcript.pyannote[1775].speaker SPEAKER_08
transcript.pyannote[1775].start 25055.17034375
transcript.pyannote[1775].end 25056.94221875
transcript.pyannote[1776].speaker SPEAKER_08
transcript.pyannote[1776].start 25057.90409375
transcript.pyannote[1776].end 25060.33409375
transcript.pyannote[1777].speaker SPEAKER_08
transcript.pyannote[1777].start 25061.04284375
transcript.pyannote[1777].end 25063.28721875
transcript.pyannote[1778].speaker SPEAKER_08
transcript.pyannote[1778].start 25063.54034375
transcript.pyannote[1778].end 25064.36721875
transcript.pyannote[1779].speaker SPEAKER_11
transcript.pyannote[1779].start 25063.64159375
transcript.pyannote[1779].end 25064.55284375
transcript.pyannote[1780].speaker SPEAKER_11
transcript.pyannote[1780].start 25064.77221875
transcript.pyannote[1780].end 25064.82284375
transcript.pyannote[1781].speaker SPEAKER_08
transcript.pyannote[1781].start 25064.82284375
transcript.pyannote[1781].end 25067.74221875
transcript.pyannote[1782].speaker SPEAKER_11
transcript.pyannote[1782].start 25064.85659375
transcript.pyannote[1782].end 25065.31221875
transcript.pyannote[1783].speaker SPEAKER_08
transcript.pyannote[1783].start 25068.06284375
transcript.pyannote[1783].end 25071.94409375
transcript.pyannote[1784].speaker SPEAKER_08
transcript.pyannote[1784].start 25072.29846875
transcript.pyannote[1784].end 25073.91846875
transcript.pyannote[1785].speaker SPEAKER_08
transcript.pyannote[1785].start 25074.13784375
transcript.pyannote[1785].end 25076.19659375
transcript.pyannote[1786].speaker SPEAKER_08
transcript.pyannote[1786].start 25076.56784375
transcript.pyannote[1786].end 25077.47909375
transcript.pyannote[1787].speaker SPEAKER_08
transcript.pyannote[1787].start 25077.88409375
transcript.pyannote[1787].end 25084.66784375
transcript.pyannote[1788].speaker SPEAKER_08
transcript.pyannote[1788].start 25085.15721875
transcript.pyannote[1788].end 25086.82784375
transcript.pyannote[1789].speaker SPEAKER_08
transcript.pyannote[1789].start 25086.96284375
transcript.pyannote[1789].end 25091.48534375
transcript.pyannote[1790].speaker SPEAKER_08
transcript.pyannote[1790].start 25091.90721875
transcript.pyannote[1790].end 25093.03784375
transcript.pyannote[1791].speaker SPEAKER_08
transcript.pyannote[1791].start 25093.78034375
transcript.pyannote[1791].end 25094.62409375
transcript.pyannote[1792].speaker SPEAKER_08
transcript.pyannote[1792].start 25094.96159375
transcript.pyannote[1792].end 25095.23159375
transcript.pyannote[1793].speaker SPEAKER_08
transcript.pyannote[1793].start 25095.43409375
transcript.pyannote[1793].end 25096.46346875
transcript.pyannote[1794].speaker SPEAKER_08
transcript.pyannote[1794].start 25096.66596875
transcript.pyannote[1794].end 25098.26909375
transcript.pyannote[1795].speaker SPEAKER_08
transcript.pyannote[1795].start 25098.79221875
transcript.pyannote[1795].end 25102.28534375
transcript.pyannote[1796].speaker SPEAKER_08
transcript.pyannote[1796].start 25102.77471875
transcript.pyannote[1796].end 25105.01909375
transcript.pyannote[1797].speaker SPEAKER_08
transcript.pyannote[1797].start 25105.47471875
transcript.pyannote[1797].end 25108.49534375
transcript.pyannote[1798].speaker SPEAKER_08
transcript.pyannote[1798].start 25108.83284375
transcript.pyannote[1798].end 25112.10659375
transcript.pyannote[1799].speaker SPEAKER_08
transcript.pyannote[1799].start 25112.74784375
transcript.pyannote[1799].end 25112.78159375
transcript.pyannote[1800].speaker SPEAKER_06
transcript.pyannote[1800].start 25112.78159375
transcript.pyannote[1800].end 25112.83221875
transcript.pyannote[1801].speaker SPEAKER_08
transcript.pyannote[1801].start 25112.83221875
transcript.pyannote[1801].end 25113.03471875
transcript.pyannote[1802].speaker SPEAKER_06
transcript.pyannote[1802].start 25113.03471875
transcript.pyannote[1802].end 25122.07971875
transcript.pyannote[1803].speaker SPEAKER_08
transcript.pyannote[1803].start 25114.43534375
transcript.pyannote[1803].end 25115.31284375
transcript.pyannote[1804].speaker SPEAKER_06
transcript.pyannote[1804].start 25122.38346875
transcript.pyannote[1804].end 25124.98221875
transcript.pyannote[1805].speaker SPEAKER_06
transcript.pyannote[1805].start 25125.08346875
transcript.pyannote[1805].end 25126.14659375
transcript.pyannote[1806].speaker SPEAKER_06
transcript.pyannote[1806].start 25126.60221875
transcript.pyannote[1806].end 25127.83409375
transcript.pyannote[1807].speaker SPEAKER_06
transcript.pyannote[1807].start 25127.98596875
transcript.pyannote[1807].end 25130.58471875
transcript.pyannote[1808].speaker SPEAKER_06
transcript.pyannote[1808].start 25130.68596875
transcript.pyannote[1808].end 25132.49159375
transcript.pyannote[1809].speaker SPEAKER_06
transcript.pyannote[1809].start 25132.66034375
transcript.pyannote[1809].end 25133.26784375
transcript.pyannote[1810].speaker SPEAKER_06
transcript.pyannote[1810].start 25133.36909375
transcript.pyannote[1810].end 25133.92596875
transcript.pyannote[1811].speaker SPEAKER_06
transcript.pyannote[1811].start 25134.06096875
transcript.pyannote[1811].end 25134.83721875
transcript.pyannote[1812].speaker SPEAKER_06
transcript.pyannote[1812].start 25134.95534375
transcript.pyannote[1812].end 25140.92909375
transcript.pyannote[1813].speaker SPEAKER_15
transcript.pyannote[1813].start 25140.92909375
transcript.pyannote[1813].end 25140.94596875
transcript.pyannote[1814].speaker SPEAKER_06
transcript.pyannote[1814].start 25140.94596875
transcript.pyannote[1814].end 25140.96284375
transcript.pyannote[1815].speaker SPEAKER_15
transcript.pyannote[1815].start 25140.96284375
transcript.pyannote[1815].end 25141.90784375
transcript.pyannote[1816].speaker SPEAKER_06
transcript.pyannote[1816].start 25141.08096875
transcript.pyannote[1816].end 25143.37596875
transcript.pyannote[1817].speaker SPEAKER_15
transcript.pyannote[1817].start 25142.73471875
transcript.pyannote[1817].end 25148.21909375
transcript.pyannote[1818].speaker SPEAKER_15
transcript.pyannote[1818].start 25148.37096875
transcript.pyannote[1818].end 25161.75284375
transcript.pyannote[1819].speaker SPEAKER_08
transcript.pyannote[1819].start 25150.71659375
transcript.pyannote[1819].end 25151.15534375
transcript.pyannote[1820].speaker SPEAKER_15
transcript.pyannote[1820].start 25162.14096875
transcript.pyannote[1820].end 25165.44846875
transcript.pyannote[1821].speaker SPEAKER_08
transcript.pyannote[1821].start 25164.72284375
transcript.pyannote[1821].end 25168.01346875
transcript.pyannote[1822].speaker SPEAKER_15
transcript.pyannote[1822].start 25165.66784375
transcript.pyannote[1822].end 25177.64909375
transcript.pyannote[1823].speaker SPEAKER_15
transcript.pyannote[1823].start 25177.96971875
transcript.pyannote[1823].end 25180.41659375
transcript.pyannote[1824].speaker SPEAKER_15
transcript.pyannote[1824].start 25180.53471875
transcript.pyannote[1824].end 25183.63971875
transcript.pyannote[1825].speaker SPEAKER_08
transcript.pyannote[1825].start 25181.86784375
transcript.pyannote[1825].end 25188.95534375
transcript.pyannote[1826].speaker SPEAKER_08
transcript.pyannote[1826].start 25189.05659375
transcript.pyannote[1826].end 25189.63034375
transcript.pyannote[1827].speaker SPEAKER_08
transcript.pyannote[1827].start 25189.69784375
transcript.pyannote[1827].end 25191.87471875
transcript.pyannote[1828].speaker SPEAKER_09
transcript.pyannote[1828].start 25195.23284375
transcript.pyannote[1828].end 25198.00034375
transcript.pyannote[1829].speaker SPEAKER_09
transcript.pyannote[1829].start 25198.48971875
transcript.pyannote[1829].end 25201.17284375
transcript.pyannote[1830].speaker SPEAKER_09
transcript.pyannote[1830].start 25210.89284375
transcript.pyannote[1830].end 25216.07346875
transcript.pyannote[1831].speaker SPEAKER_04
transcript.pyannote[1831].start 25227.95346875
transcript.pyannote[1831].end 25230.77159375
transcript.pyannote[1832].speaker SPEAKER_09
transcript.pyannote[1832].start 25231.41284375
transcript.pyannote[1832].end 25233.26909375
transcript.pyannote[1833].speaker SPEAKER_04
transcript.pyannote[1833].start 25243.51221875
transcript.pyannote[1833].end 25246.93784375
transcript.pyannote[1834].speaker SPEAKER_15
transcript.pyannote[1834].start 25244.81159375
transcript.pyannote[1834].end 25245.41909375
transcript.pyannote[1835].speaker SPEAKER_15
transcript.pyannote[1835].start 25246.93784375
transcript.pyannote[1835].end 25247.17409375
transcript.pyannote[1836].speaker SPEAKER_04
transcript.pyannote[1836].start 25247.17409375
transcript.pyannote[1836].end 25248.00096875
transcript.pyannote[1837].speaker SPEAKER_04
transcript.pyannote[1837].start 25248.43971875
transcript.pyannote[1837].end 25253.04659375
transcript.pyannote[1838].speaker SPEAKER_04
transcript.pyannote[1838].start 25253.36721875
transcript.pyannote[1838].end 25256.15159375
transcript.pyannote[1839].speaker SPEAKER_04
transcript.pyannote[1839].start 25256.52284375
transcript.pyannote[1839].end 25258.59846875
transcript.pyannote[1840].speaker SPEAKER_04
transcript.pyannote[1840].start 25259.23971875
transcript.pyannote[1840].end 25263.13784375
transcript.pyannote[1841].speaker SPEAKER_04
transcript.pyannote[1841].start 25264.20096875
transcript.pyannote[1841].end 25265.06159375
transcript.pyannote[1842].speaker SPEAKER_04
transcript.pyannote[1842].start 25265.78721875
transcript.pyannote[1842].end 25266.95159375
transcript.pyannote[1843].speaker SPEAKER_04
transcript.pyannote[1843].start 25267.54221875
transcript.pyannote[1843].end 25269.31409375
transcript.pyannote[1844].speaker SPEAKER_04
transcript.pyannote[1844].start 25269.87096875
transcript.pyannote[1844].end 25271.13659375
transcript.pyannote[1845].speaker SPEAKER_04
transcript.pyannote[1845].start 25272.03096875
transcript.pyannote[1845].end 25275.45659375
transcript.pyannote[1846].speaker SPEAKER_04
transcript.pyannote[1846].start 25275.92909375
transcript.pyannote[1846].end 25281.83534375
transcript.pyannote[1847].speaker SPEAKER_04
transcript.pyannote[1847].start 25282.62846875
transcript.pyannote[1847].end 25284.24846875
transcript.pyannote[1848].speaker SPEAKER_04
transcript.pyannote[1848].start 25284.58596875
transcript.pyannote[1848].end 25285.59846875
transcript.pyannote[1849].speaker SPEAKER_04
transcript.pyannote[1849].start 25286.10471875
transcript.pyannote[1849].end 25288.99034375
transcript.pyannote[1850].speaker SPEAKER_04
transcript.pyannote[1850].start 25289.19284375
transcript.pyannote[1850].end 25291.09971875
transcript.pyannote[1851].speaker SPEAKER_04
transcript.pyannote[1851].start 25291.79159375
transcript.pyannote[1851].end 25293.79971875
transcript.pyannote[1852].speaker SPEAKER_04
transcript.pyannote[1852].start 25294.08659375
transcript.pyannote[1852].end 25295.89221875
transcript.pyannote[1853].speaker SPEAKER_04
transcript.pyannote[1853].start 25295.99346875
transcript.pyannote[1853].end 25298.03534375
transcript.pyannote[1854].speaker SPEAKER_04
transcript.pyannote[1854].start 25298.44034375
transcript.pyannote[1854].end 25302.15284375
transcript.pyannote[1855].speaker SPEAKER_04
transcript.pyannote[1855].start 25302.79409375
transcript.pyannote[1855].end 25303.58721875
transcript.pyannote[1856].speaker SPEAKER_04
transcript.pyannote[1856].start 25304.02596875
transcript.pyannote[1856].end 25305.25784375
transcript.pyannote[1857].speaker SPEAKER_04
transcript.pyannote[1857].start 25305.54471875
transcript.pyannote[1857].end 25305.91596875
transcript.pyannote[1858].speaker SPEAKER_04
transcript.pyannote[1858].start 25306.72596875
transcript.pyannote[1858].end 25307.70471875
transcript.pyannote[1859].speaker SPEAKER_04
transcript.pyannote[1859].start 25308.53159375
transcript.pyannote[1859].end 25309.24034375
transcript.pyannote[1860].speaker SPEAKER_04
transcript.pyannote[1860].start 25309.52721875
transcript.pyannote[1860].end 25311.73784375
transcript.pyannote[1861].speaker SPEAKER_04
transcript.pyannote[1861].start 25312.15971875
transcript.pyannote[1861].end 25314.82596875
transcript.pyannote[1862].speaker SPEAKER_04
transcript.pyannote[1862].start 25315.36596875
transcript.pyannote[1862].end 25318.55534375
transcript.pyannote[1863].speaker SPEAKER_04
transcript.pyannote[1863].start 25319.09534375
transcript.pyannote[1863].end 25323.97221875
transcript.pyannote[1864].speaker SPEAKER_04
transcript.pyannote[1864].start 25324.47846875
transcript.pyannote[1864].end 25324.74846875
transcript.pyannote[1865].speaker SPEAKER_04
transcript.pyannote[1865].start 25325.28846875
transcript.pyannote[1865].end 25327.61721875
transcript.pyannote[1866].speaker SPEAKER_04
transcript.pyannote[1866].start 25328.19096875
transcript.pyannote[1866].end 25330.38471875
transcript.pyannote[1867].speaker SPEAKER_04
transcript.pyannote[1867].start 25330.57034375
transcript.pyannote[1867].end 25332.08909375
transcript.pyannote[1868].speaker SPEAKER_04
transcript.pyannote[1868].start 25332.78096875
transcript.pyannote[1868].end 25333.35471875
transcript.pyannote[1869].speaker SPEAKER_04
transcript.pyannote[1869].start 25333.86096875
transcript.pyannote[1869].end 25337.15159375
transcript.pyannote[1870].speaker SPEAKER_04
transcript.pyannote[1870].start 25337.64096875
transcript.pyannote[1870].end 25339.76721875
transcript.pyannote[1871].speaker SPEAKER_04
transcript.pyannote[1871].start 25340.17221875
transcript.pyannote[1871].end 25345.28534375
transcript.pyannote[1872].speaker SPEAKER_04
transcript.pyannote[1872].start 25345.85909375
transcript.pyannote[1872].end 25346.23034375
transcript.pyannote[1873].speaker SPEAKER_04
transcript.pyannote[1873].start 25346.53409375
transcript.pyannote[1873].end 25351.78221875
transcript.pyannote[1874].speaker SPEAKER_04
transcript.pyannote[1874].start 25352.20409375
transcript.pyannote[1874].end 25356.15284375
transcript.pyannote[1875].speaker SPEAKER_04
transcript.pyannote[1875].start 25356.82784375
transcript.pyannote[1875].end 25358.66721875
transcript.pyannote[1876].speaker SPEAKER_04
transcript.pyannote[1876].start 25358.85284375
transcript.pyannote[1876].end 25361.73846875
transcript.pyannote[1877].speaker SPEAKER_04
transcript.pyannote[1877].start 25362.14346875
transcript.pyannote[1877].end 25367.81346875
transcript.pyannote[1878].speaker SPEAKER_04
transcript.pyannote[1878].start 25368.72471875
transcript.pyannote[1878].end 25370.14221875
transcript.pyannote[1879].speaker SPEAKER_04
transcript.pyannote[1879].start 25371.15471875
transcript.pyannote[1879].end 25372.62284375
transcript.pyannote[1880].speaker SPEAKER_04
transcript.pyannote[1880].start 25373.26409375
transcript.pyannote[1880].end 25373.92221875
transcript.pyannote[1881].speaker SPEAKER_04
transcript.pyannote[1881].start 25374.14159375
transcript.pyannote[1881].end 25375.87971875
transcript.pyannote[1882].speaker SPEAKER_04
transcript.pyannote[1882].start 25376.87534375
transcript.pyannote[1882].end 25381.16159375
transcript.pyannote[1883].speaker SPEAKER_04
transcript.pyannote[1883].start 25381.54971875
transcript.pyannote[1883].end 25383.99659375
transcript.pyannote[1884].speaker SPEAKER_04
transcript.pyannote[1884].start 25384.36784375
transcript.pyannote[1884].end 25386.29159375
transcript.pyannote[1885].speaker SPEAKER_04
transcript.pyannote[1885].start 25386.84846875
transcript.pyannote[1885].end 25389.56534375
transcript.pyannote[1886].speaker SPEAKER_04
transcript.pyannote[1886].start 25390.40909375
transcript.pyannote[1886].end 25402.03596875
transcript.pyannote[1887].speaker SPEAKER_04
transcript.pyannote[1887].start 25402.23846875
transcript.pyannote[1887].end 25404.87096875
transcript.pyannote[1888].speaker SPEAKER_04
transcript.pyannote[1888].start 25405.57971875
transcript.pyannote[1888].end 25411.09784375
transcript.pyannote[1889].speaker SPEAKER_04
transcript.pyannote[1889].start 25411.50284375
transcript.pyannote[1889].end 25423.38284375
transcript.pyannote[1890].speaker SPEAKER_04
transcript.pyannote[1890].start 25423.61909375
transcript.pyannote[1890].end 25426.20096875
transcript.pyannote[1891].speaker SPEAKER_04
transcript.pyannote[1891].start 25426.50471875
transcript.pyannote[1891].end 25440.51096875
transcript.pyannote[1892].speaker SPEAKER_04
transcript.pyannote[1892].start 25441.03409375
transcript.pyannote[1892].end 25442.73846875
transcript.pyannote[1893].speaker SPEAKER_04
transcript.pyannote[1893].start 25443.48096875
transcript.pyannote[1893].end 25447.66596875
transcript.pyannote[1894].speaker SPEAKER_04
transcript.pyannote[1894].start 25447.96971875
transcript.pyannote[1894].end 25448.94846875
transcript.pyannote[1895].speaker SPEAKER_04
transcript.pyannote[1895].start 25449.84284375
transcript.pyannote[1895].end 25450.39971875
transcript.pyannote[1896].speaker SPEAKER_04
transcript.pyannote[1896].start 25450.55159375
transcript.pyannote[1896].end 25459.24221875
transcript.pyannote[1897].speaker SPEAKER_04
transcript.pyannote[1897].start 25459.73159375
transcript.pyannote[1897].end 25460.71034375
transcript.pyannote[1898].speaker SPEAKER_04
transcript.pyannote[1898].start 25460.91284375
transcript.pyannote[1898].end 25463.69721875
transcript.pyannote[1899].speaker SPEAKER_04
transcript.pyannote[1899].start 25464.16971875
transcript.pyannote[1899].end 25465.45221875
transcript.pyannote[1900].speaker SPEAKER_04
transcript.pyannote[1900].start 25465.85721875
transcript.pyannote[1900].end 25471.03784375
transcript.pyannote[1901].speaker SPEAKER_04
transcript.pyannote[1901].start 25471.56096875
transcript.pyannote[1901].end 25472.91096875
transcript.pyannote[1902].speaker SPEAKER_04
transcript.pyannote[1902].start 25473.06284375
transcript.pyannote[1902].end 25474.58159375
transcript.pyannote[1903].speaker SPEAKER_04
transcript.pyannote[1903].start 25474.88534375
transcript.pyannote[1903].end 25476.37034375
transcript.pyannote[1904].speaker SPEAKER_04
transcript.pyannote[1904].start 25476.89346875
transcript.pyannote[1904].end 25478.37846875
transcript.pyannote[1905].speaker SPEAKER_04
transcript.pyannote[1905].start 25478.58096875
transcript.pyannote[1905].end 25479.81284375
transcript.pyannote[1906].speaker SPEAKER_04
transcript.pyannote[1906].start 25480.26846875
transcript.pyannote[1906].end 25483.39034375
transcript.pyannote[1907].speaker SPEAKER_04
transcript.pyannote[1907].start 25484.45346875
transcript.pyannote[1907].end 25485.51659375
transcript.pyannote[1908].speaker SPEAKER_04
transcript.pyannote[1908].start 25486.61346875
transcript.pyannote[1908].end 25488.36846875
transcript.pyannote[1909].speaker SPEAKER_04
transcript.pyannote[1909].start 25489.12784375
transcript.pyannote[1909].end 25491.03471875
transcript.pyannote[1910].speaker SPEAKER_04
transcript.pyannote[1910].start 25491.43971875
transcript.pyannote[1910].end 25493.04284375
transcript.pyannote[1911].speaker SPEAKER_04
transcript.pyannote[1911].start 25493.21159375
transcript.pyannote[1911].end 25494.46034375
transcript.pyannote[1912].speaker SPEAKER_04
transcript.pyannote[1912].start 25494.64596875
transcript.pyannote[1912].end 25501.34534375
transcript.pyannote[1913].speaker SPEAKER_04
transcript.pyannote[1913].start 25501.61534375
transcript.pyannote[1913].end 25505.05784375
transcript.pyannote[1914].speaker SPEAKER_04
transcript.pyannote[1914].start 25505.68221875
transcript.pyannote[1914].end 25508.31471875
transcript.pyannote[1915].speaker SPEAKER_04
transcript.pyannote[1915].start 25508.97284375
transcript.pyannote[1915].end 25509.85034375
transcript.pyannote[1916].speaker SPEAKER_04
transcript.pyannote[1916].start 25509.96846875
transcript.pyannote[1916].end 25511.82471875
transcript.pyannote[1917].speaker SPEAKER_04
transcript.pyannote[1917].start 25512.39846875
transcript.pyannote[1917].end 25513.30971875
transcript.pyannote[1918].speaker SPEAKER_04
transcript.pyannote[1918].start 25513.63034375
transcript.pyannote[1918].end 25516.31346875
transcript.pyannote[1919].speaker SPEAKER_04
transcript.pyannote[1919].start 25516.90409375
transcript.pyannote[1919].end 25518.74346875
transcript.pyannote[1920].speaker SPEAKER_04
transcript.pyannote[1920].start 25519.48596875
transcript.pyannote[1920].end 25520.41409375
transcript.pyannote[1921].speaker SPEAKER_04
transcript.pyannote[1921].start 25520.78534375
transcript.pyannote[1921].end 25524.54846875
transcript.pyannote[1922].speaker SPEAKER_04
transcript.pyannote[1922].start 25524.75096875
transcript.pyannote[1922].end 25526.33721875
transcript.pyannote[1923].speaker SPEAKER_04
transcript.pyannote[1923].start 25526.92784375
transcript.pyannote[1923].end 25527.31596875
transcript.pyannote[1924].speaker SPEAKER_04
transcript.pyannote[1924].start 25528.12596875
transcript.pyannote[1924].end 25528.68284375
transcript.pyannote[1925].speaker SPEAKER_04
transcript.pyannote[1925].start 25529.00346875
transcript.pyannote[1925].end 25536.91784375
transcript.pyannote[1926].speaker SPEAKER_04
transcript.pyannote[1926].start 25537.10346875
transcript.pyannote[1926].end 25538.77409375
transcript.pyannote[1927].speaker SPEAKER_04
transcript.pyannote[1927].start 25539.16221875
transcript.pyannote[1927].end 25540.46159375
transcript.pyannote[1928].speaker SPEAKER_04
transcript.pyannote[1928].start 25540.51221875
transcript.pyannote[1928].end 25541.05221875
transcript.pyannote[1929].speaker SPEAKER_04
transcript.pyannote[1929].start 25541.67659375
transcript.pyannote[1929].end 25545.13596875
transcript.pyannote[1930].speaker SPEAKER_15
transcript.pyannote[1930].start 25546.65471875
transcript.pyannote[1930].end 25552.57784375
transcript.pyannote[1931].speaker SPEAKER_15
transcript.pyannote[1931].start 25553.20221875
transcript.pyannote[1931].end 25553.74221875
transcript.pyannote[1932].speaker SPEAKER_15
transcript.pyannote[1932].start 25554.50159375
transcript.pyannote[1932].end 25557.92721875
transcript.pyannote[1933].speaker SPEAKER_15
transcript.pyannote[1933].start 25558.43346875
transcript.pyannote[1933].end 25559.00721875
transcript.pyannote[1934].speaker SPEAKER_15
transcript.pyannote[1934].start 25559.59784375
transcript.pyannote[1934].end 25563.96846875
transcript.pyannote[1935].speaker SPEAKER_04
transcript.pyannote[1935].start 25563.51284375
transcript.pyannote[1935].end 25564.59284375
transcript.pyannote[1936].speaker SPEAKER_15
transcript.pyannote[1936].start 25564.66034375
transcript.pyannote[1936].end 25565.13284375
transcript.pyannote[1937].speaker SPEAKER_04
transcript.pyannote[1937].start 25565.13284375
transcript.pyannote[1937].end 25565.45346875
transcript.pyannote[1938].speaker SPEAKER_15
transcript.pyannote[1938].start 25565.45346875
transcript.pyannote[1938].end 25566.58409375
transcript.pyannote[1939].speaker SPEAKER_15
transcript.pyannote[1939].start 25567.36034375
transcript.pyannote[1939].end 25569.89159375
transcript.pyannote[1940].speaker SPEAKER_04
transcript.pyannote[1940].start 25568.92971875
transcript.pyannote[1940].end 25571.22471875
transcript.pyannote[1941].speaker SPEAKER_15
transcript.pyannote[1941].start 25571.22471875
transcript.pyannote[1941].end 25571.51159375
transcript.pyannote[1942].speaker SPEAKER_04
transcript.pyannote[1942].start 25571.68034375
transcript.pyannote[1942].end 25575.64596875
transcript.pyannote[1943].speaker SPEAKER_04
transcript.pyannote[1943].start 25576.20284375
transcript.pyannote[1943].end 25577.41784375
transcript.pyannote[1944].speaker SPEAKER_04
transcript.pyannote[1944].start 25578.91971875
transcript.pyannote[1944].end 25582.32846875
transcript.pyannote[1945].speaker SPEAKER_04
transcript.pyannote[1945].start 25582.63221875
transcript.pyannote[1945].end 25583.42534375
transcript.pyannote[1946].speaker SPEAKER_04
transcript.pyannote[1946].start 25583.81346875
transcript.pyannote[1946].end 25591.62659375
transcript.pyannote[1947].speaker SPEAKER_04
transcript.pyannote[1947].start 25592.38596875
transcript.pyannote[1947].end 25592.92596875
transcript.pyannote[1948].speaker SPEAKER_04
transcript.pyannote[1948].start 25593.71909375
transcript.pyannote[1948].end 25593.97221875
transcript.pyannote[1949].speaker SPEAKER_06
transcript.pyannote[1949].start 25593.97221875
transcript.pyannote[1949].end 25594.10721875
transcript.pyannote[1950].speaker SPEAKER_04
transcript.pyannote[1950].start 25594.10721875
transcript.pyannote[1950].end 25594.14096875
transcript.pyannote[1951].speaker SPEAKER_06
transcript.pyannote[1951].start 25594.69784375
transcript.pyannote[1951].end 25598.52846875
transcript.pyannote[1952].speaker SPEAKER_06
transcript.pyannote[1952].start 25598.78159375
transcript.pyannote[1952].end 25601.49846875
transcript.pyannote[1953].speaker SPEAKER_04
transcript.pyannote[1953].start 25601.49846875
transcript.pyannote[1953].end 25601.53221875
transcript.pyannote[1954].speaker SPEAKER_06
transcript.pyannote[1954].start 25602.24096875
transcript.pyannote[1954].end 25602.25784375
transcript.pyannote[1955].speaker SPEAKER_04
transcript.pyannote[1955].start 25602.25784375
transcript.pyannote[1955].end 25602.37596875
transcript.pyannote[1956].speaker SPEAKER_06
transcript.pyannote[1956].start 25602.37596875
transcript.pyannote[1956].end 25602.40971875
transcript.pyannote[1957].speaker SPEAKER_04
transcript.pyannote[1957].start 25602.40971875
transcript.pyannote[1957].end 25608.18096875
transcript.pyannote[1958].speaker SPEAKER_06
transcript.pyannote[1958].start 25602.42659375
transcript.pyannote[1958].end 25603.40534375
transcript.pyannote[1959].speaker SPEAKER_06
transcript.pyannote[1959].start 25606.25721875
transcript.pyannote[1959].end 25610.18909375
transcript.pyannote[1960].speaker SPEAKER_04
transcript.pyannote[1960].start 25608.36659375
transcript.pyannote[1960].end 25608.67034375
transcript.pyannote[1961].speaker SPEAKER_06
transcript.pyannote[1961].start 25610.62784375
transcript.pyannote[1961].end 25610.69534375
transcript.pyannote[1962].speaker SPEAKER_06
transcript.pyannote[1962].start 25610.74596875
transcript.pyannote[1962].end 25614.20534375
transcript.pyannote[1963].speaker SPEAKER_06
transcript.pyannote[1963].start 25614.54284375
transcript.pyannote[1963].end 25616.06159375
transcript.pyannote[1964].speaker SPEAKER_06
transcript.pyannote[1964].start 25616.36534375
transcript.pyannote[1964].end 25617.56346875
transcript.pyannote[1965].speaker SPEAKER_06
transcript.pyannote[1965].start 25617.74909375
transcript.pyannote[1965].end 25619.72346875
transcript.pyannote[1966].speaker SPEAKER_06
transcript.pyannote[1966].start 25619.80784375
transcript.pyannote[1966].end 25620.68534375
transcript.pyannote[1967].speaker SPEAKER_06
transcript.pyannote[1967].start 25621.00596875
transcript.pyannote[1967].end 25634.45534375
transcript.pyannote[1968].speaker SPEAKER_04
transcript.pyannote[1968].start 25624.97159375
transcript.pyannote[1968].end 25625.27534375
transcript.pyannote[1969].speaker SPEAKER_06
transcript.pyannote[1969].start 25634.67471875
transcript.pyannote[1969].end 25636.37909375
transcript.pyannote[1970].speaker SPEAKER_06
transcript.pyannote[1970].start 25636.81784375
transcript.pyannote[1970].end 25639.02846875
transcript.pyannote[1971].speaker SPEAKER_04
transcript.pyannote[1971].start 25636.83471875
transcript.pyannote[1971].end 25637.32409375
transcript.pyannote[1972].speaker SPEAKER_04
transcript.pyannote[1972].start 25639.02846875
transcript.pyannote[1972].end 25639.70346875
transcript.pyannote[1973].speaker SPEAKER_06
transcript.pyannote[1973].start 25639.70346875
transcript.pyannote[1973].end 25639.72034375
transcript.pyannote[1974].speaker SPEAKER_04
transcript.pyannote[1974].start 25640.64846875
transcript.pyannote[1974].end 25641.03659375
transcript.pyannote[1975].speaker SPEAKER_04
transcript.pyannote[1975].start 25641.22221875
transcript.pyannote[1975].end 25644.36096875
transcript.pyannote[1976].speaker SPEAKER_04
transcript.pyannote[1976].start 25644.93471875
transcript.pyannote[1976].end 25646.99346875
transcript.pyannote[1977].speaker SPEAKER_04
transcript.pyannote[1977].start 25647.68534375
transcript.pyannote[1977].end 25648.54596875
transcript.pyannote[1978].speaker SPEAKER_04
transcript.pyannote[1978].start 25649.33909375
transcript.pyannote[1978].end 25654.92471875
transcript.pyannote[1979].speaker SPEAKER_06
transcript.pyannote[1979].start 25651.27971875
transcript.pyannote[1979].end 25651.73534375
transcript.pyannote[1980].speaker SPEAKER_02
transcript.pyannote[1980].start 25651.73534375
transcript.pyannote[1980].end 25651.75221875
transcript.pyannote[1981].speaker SPEAKER_04
transcript.pyannote[1981].start 25655.56596875
transcript.pyannote[1981].end 25658.09721875
transcript.pyannote[1982].speaker SPEAKER_04
transcript.pyannote[1982].start 25658.80596875
transcript.pyannote[1982].end 25664.96534375
transcript.pyannote[1983].speaker SPEAKER_04
transcript.pyannote[1983].start 25665.48846875
transcript.pyannote[1983].end 25678.27971875
transcript.pyannote[1984].speaker SPEAKER_04
transcript.pyannote[1984].start 25679.00534375
transcript.pyannote[1984].end 25689.23159375
transcript.pyannote[1985].speaker SPEAKER_04
transcript.pyannote[1985].start 25689.55221875
transcript.pyannote[1985].end 25696.60596875
transcript.pyannote[1986].speaker SPEAKER_04
transcript.pyannote[1986].start 25697.53409375
transcript.pyannote[1986].end 25698.36096875
transcript.pyannote[1987].speaker SPEAKER_04
transcript.pyannote[1987].start 25698.88409375
transcript.pyannote[1987].end 25700.95971875
transcript.pyannote[1988].speaker SPEAKER_04
transcript.pyannote[1988].start 25701.24659375
transcript.pyannote[1988].end 25703.49096875
transcript.pyannote[1989].speaker SPEAKER_04
transcript.pyannote[1989].start 25703.99721875
transcript.pyannote[1989].end 25707.86159375
transcript.pyannote[1990].speaker SPEAKER_04
transcript.pyannote[1990].start 25708.58721875
transcript.pyannote[1990].end 25708.99221875
transcript.pyannote[1991].speaker SPEAKER_04
transcript.pyannote[1991].start 25709.63346875
transcript.pyannote[1991].end 25716.23159375
transcript.pyannote[1992].speaker SPEAKER_04
transcript.pyannote[1992].start 25716.78846875
transcript.pyannote[1992].end 25721.10846875
transcript.pyannote[1993].speaker SPEAKER_04
transcript.pyannote[1993].start 25721.53034375
transcript.pyannote[1993].end 25723.01534375
transcript.pyannote[1994].speaker SPEAKER_04
transcript.pyannote[1994].start 25723.04909375
transcript.pyannote[1994].end 25727.20034375
transcript.pyannote[1995].speaker SPEAKER_04
transcript.pyannote[1995].start 25727.70659375
transcript.pyannote[1995].end 25728.33096875
transcript.pyannote[1996].speaker SPEAKER_04
transcript.pyannote[1996].start 25728.58409375
transcript.pyannote[1996].end 25733.20784375
transcript.pyannote[1997].speaker SPEAKER_04
transcript.pyannote[1997].start 25733.69721875
transcript.pyannote[1997].end 25747.12971875
transcript.pyannote[1998].speaker SPEAKER_04
transcript.pyannote[1998].start 25747.50096875
transcript.pyannote[1998].end 25751.58471875
transcript.pyannote[1999].speaker SPEAKER_04
transcript.pyannote[1999].start 25752.10784375
transcript.pyannote[1999].end 25755.09471875
transcript.pyannote[2000].speaker SPEAKER_04
transcript.pyannote[2000].start 25755.39846875
transcript.pyannote[2000].end 25762.13159375
transcript.pyannote[2001].speaker SPEAKER_04
transcript.pyannote[2001].start 25762.31721875
transcript.pyannote[2001].end 25767.07596875
transcript.pyannote[2002].speaker SPEAKER_04
transcript.pyannote[2002].start 25767.43034375
transcript.pyannote[2002].end 25769.72534375
transcript.pyannote[2003].speaker SPEAKER_04
transcript.pyannote[2003].start 25770.09659375
transcript.pyannote[2003].end 25776.64409375
transcript.pyannote[2004].speaker SPEAKER_04
transcript.pyannote[2004].start 25776.93096875
transcript.pyannote[2004].end 25778.07846875
transcript.pyannote[2005].speaker SPEAKER_04
transcript.pyannote[2005].start 25778.66909375
transcript.pyannote[2005].end 25779.14159375
transcript.pyannote[2006].speaker SPEAKER_04
transcript.pyannote[2006].start 25779.42846875
transcript.pyannote[2006].end 25782.66846875
transcript.pyannote[2007].speaker SPEAKER_15
transcript.pyannote[2007].start 25783.22534375
transcript.pyannote[2007].end 25788.06846875
transcript.pyannote[2008].speaker SPEAKER_15
transcript.pyannote[2008].start 25788.45659375
transcript.pyannote[2008].end 25791.98346875
transcript.pyannote[2009].speaker SPEAKER_15
transcript.pyannote[2009].start 25792.28721875
transcript.pyannote[2009].end 25799.18909375
transcript.pyannote[2010].speaker SPEAKER_15
transcript.pyannote[2010].start 25799.20596875
transcript.pyannote[2010].end 25799.23971875
transcript.pyannote[2011].speaker SPEAKER_04
transcript.pyannote[2011].start 25799.23971875
transcript.pyannote[2011].end 25809.92159375
transcript.pyannote[2012].speaker SPEAKER_15
transcript.pyannote[2012].start 25799.56034375
transcript.pyannote[2012].end 25800.45471875
transcript.pyannote[2013].speaker SPEAKER_04
transcript.pyannote[2013].start 25810.20846875
transcript.pyannote[2013].end 25811.33909375
transcript.pyannote[2014].speaker SPEAKER_04
transcript.pyannote[2014].start 25811.76096875
transcript.pyannote[2014].end 25816.21596875
transcript.pyannote[2015].speaker SPEAKER_04
transcript.pyannote[2015].start 25816.33409375
transcript.pyannote[2015].end 25818.81471875
transcript.pyannote[2016].speaker SPEAKER_04
transcript.pyannote[2016].start 25819.37159375
transcript.pyannote[2016].end 25824.29909375
transcript.pyannote[2017].speaker SPEAKER_04
transcript.pyannote[2017].start 25824.46784375
transcript.pyannote[2017].end 25825.59846875
transcript.pyannote[2018].speaker SPEAKER_04
transcript.pyannote[2018].start 25826.05409375
transcript.pyannote[2018].end 25835.57159375
transcript.pyannote[2019].speaker SPEAKER_04
transcript.pyannote[2019].start 25835.95971875
transcript.pyannote[2019].end 25836.82034375
transcript.pyannote[2020].speaker SPEAKER_04
transcript.pyannote[2020].start 25837.36034375
transcript.pyannote[2020].end 25839.16596875
transcript.pyannote[2021].speaker SPEAKER_04
transcript.pyannote[2021].start 25839.55409375
transcript.pyannote[2021].end 25839.90846875
transcript.pyannote[2022].speaker SPEAKER_04
transcript.pyannote[2022].start 25840.33034375
transcript.pyannote[2022].end 25842.22034375
transcript.pyannote[2023].speaker SPEAKER_04
transcript.pyannote[2023].start 25842.57471875
transcript.pyannote[2023].end 25843.06409375
transcript.pyannote[2024].speaker SPEAKER_04
transcript.pyannote[2024].start 25843.36784375
transcript.pyannote[2024].end 25846.60784375
transcript.pyannote[2025].speaker SPEAKER_04
transcript.pyannote[2025].start 25847.38409375
transcript.pyannote[2025].end 25847.94096875
transcript.pyannote[2026].speaker SPEAKER_04
transcript.pyannote[2026].start 25848.51471875
transcript.pyannote[2026].end 25850.42159375
transcript.pyannote[2027].speaker SPEAKER_04
transcript.pyannote[2027].start 25851.29909375
transcript.pyannote[2027].end 25852.63221875
transcript.pyannote[2028].speaker SPEAKER_04
transcript.pyannote[2028].start 25853.61096875
transcript.pyannote[2028].end 25856.31096875
transcript.pyannote[2029].speaker SPEAKER_04
transcript.pyannote[2029].start 25856.88471875
transcript.pyannote[2029].end 25857.98159375
transcript.pyannote[2030].speaker SPEAKER_04
transcript.pyannote[2030].start 25858.74096875
transcript.pyannote[2030].end 25860.78284375
transcript.pyannote[2031].speaker SPEAKER_04
transcript.pyannote[2031].start 25860.91784375
transcript.pyannote[2031].end 25862.68971875
transcript.pyannote[2032].speaker SPEAKER_04
transcript.pyannote[2032].start 25863.19596875
transcript.pyannote[2032].end 25865.13659375
transcript.pyannote[2033].speaker SPEAKER_04
transcript.pyannote[2033].start 25865.71034375
transcript.pyannote[2033].end 25867.63409375
transcript.pyannote[2034].speaker SPEAKER_04
transcript.pyannote[2034].start 25868.03909375
transcript.pyannote[2034].end 25871.68409375
transcript.pyannote[2035].speaker SPEAKER_04
transcript.pyannote[2035].start 25872.07221875
transcript.pyannote[2035].end 25874.78909375
transcript.pyannote[2036].speaker SPEAKER_04
transcript.pyannote[2036].start 25875.16034375
transcript.pyannote[2036].end 25878.87284375
transcript.pyannote[2037].speaker SPEAKER_04
transcript.pyannote[2037].start 25879.76721875
transcript.pyannote[2037].end 25880.44221875
transcript.pyannote[2038].speaker SPEAKER_04
transcript.pyannote[2038].start 25881.01596875
transcript.pyannote[2038].end 25882.56846875
transcript.pyannote[2039].speaker SPEAKER_04
transcript.pyannote[2039].start 25883.09159375
transcript.pyannote[2039].end 25883.59784375
transcript.pyannote[2040].speaker SPEAKER_04
transcript.pyannote[2040].start 25884.07034375
transcript.pyannote[2040].end 25886.73659375
transcript.pyannote[2041].speaker SPEAKER_04
transcript.pyannote[2041].start 25887.04034375
transcript.pyannote[2041].end 25889.16659375
transcript.pyannote[2042].speaker SPEAKER_04
transcript.pyannote[2042].start 25889.38596875
transcript.pyannote[2042].end 25890.88784375
transcript.pyannote[2043].speaker SPEAKER_04
transcript.pyannote[2043].start 25890.97221875
transcript.pyannote[2043].end 25896.23721875
transcript.pyannote[2044].speaker SPEAKER_04
transcript.pyannote[2044].start 25896.57471875
transcript.pyannote[2044].end 25901.62034375
transcript.pyannote[2045].speaker SPEAKER_04
transcript.pyannote[2045].start 25901.83971875
transcript.pyannote[2045].end 25904.87721875
transcript.pyannote[2046].speaker SPEAKER_04
transcript.pyannote[2046].start 25905.24846875
transcript.pyannote[2046].end 25913.39909375
transcript.pyannote[2047].speaker SPEAKER_04
transcript.pyannote[2047].start 25914.04034375
transcript.pyannote[2047].end 25915.62659375
transcript.pyannote[2048].speaker SPEAKER_04
transcript.pyannote[2048].start 25915.77846875
transcript.pyannote[2048].end 25917.02721875
transcript.pyannote[2049].speaker SPEAKER_04
transcript.pyannote[2049].start 25917.41534375
transcript.pyannote[2049].end 25918.74846875
transcript.pyannote[2050].speaker SPEAKER_04
transcript.pyannote[2050].start 25919.05221875
transcript.pyannote[2050].end 25920.43596875
transcript.pyannote[2051].speaker SPEAKER_04
transcript.pyannote[2051].start 25920.97596875
transcript.pyannote[2051].end 25921.68471875
transcript.pyannote[2052].speaker SPEAKER_04
transcript.pyannote[2052].start 25921.95471875
transcript.pyannote[2052].end 25923.25409375
transcript.pyannote[2053].speaker SPEAKER_04
transcript.pyannote[2053].start 25924.58721875
transcript.pyannote[2053].end 25927.38846875
transcript.pyannote[2054].speaker SPEAKER_04
transcript.pyannote[2054].start 25927.79346875
transcript.pyannote[2054].end 25928.90721875
transcript.pyannote[2055].speaker SPEAKER_04
transcript.pyannote[2055].start 25928.92409375
transcript.pyannote[2055].end 25932.48471875
transcript.pyannote[2056].speaker SPEAKER_04
transcript.pyannote[2056].start 25932.72096875
transcript.pyannote[2056].end 25937.42909375
transcript.pyannote[2057].speaker SPEAKER_04
transcript.pyannote[2057].start 25937.95221875
transcript.pyannote[2057].end 25939.55534375
transcript.pyannote[2058].speaker SPEAKER_04
transcript.pyannote[2058].start 25939.75784375
transcript.pyannote[2058].end 25943.31846875
transcript.pyannote[2059].speaker SPEAKER_04
transcript.pyannote[2059].start 25943.67284375
transcript.pyannote[2059].end 25946.94659375
transcript.pyannote[2060].speaker SPEAKER_04
transcript.pyannote[2060].start 25947.16596875
transcript.pyannote[2060].end 25948.41471875
transcript.pyannote[2061].speaker SPEAKER_04
transcript.pyannote[2061].start 25949.30909375
transcript.pyannote[2061].end 25956.56534375
transcript.pyannote[2062].speaker SPEAKER_04
transcript.pyannote[2062].start 25956.83534375
transcript.pyannote[2062].end 25961.27346875
transcript.pyannote[2063].speaker SPEAKER_04
transcript.pyannote[2063].start 25961.72909375
transcript.pyannote[2063].end 25966.92659375
transcript.pyannote[2064].speaker SPEAKER_06
transcript.pyannote[2064].start 25966.92659375
transcript.pyannote[2064].end 25973.92971875
transcript.pyannote[2065].speaker SPEAKER_06
transcript.pyannote[2065].start 25974.31784375
transcript.pyannote[2065].end 25977.57471875
transcript.pyannote[2066].speaker SPEAKER_06
transcript.pyannote[2066].start 25977.77721875
transcript.pyannote[2066].end 25979.83596875
transcript.pyannote[2067].speaker SPEAKER_06
transcript.pyannote[2067].start 25979.98784375
transcript.pyannote[2067].end 25981.72596875
transcript.pyannote[2068].speaker SPEAKER_06
transcript.pyannote[2068].start 25981.79346875
transcript.pyannote[2068].end 25985.92784375
transcript.pyannote[2069].speaker SPEAKER_06
transcript.pyannote[2069].start 25986.31596875
transcript.pyannote[2069].end 25989.21846875
transcript.pyannote[2070].speaker SPEAKER_06
transcript.pyannote[2070].start 25989.38721875
transcript.pyannote[2070].end 25991.10846875
transcript.pyannote[2071].speaker SPEAKER_06
transcript.pyannote[2071].start 25991.41221875
transcript.pyannote[2071].end 25993.15034375
transcript.pyannote[2072].speaker SPEAKER_06
transcript.pyannote[2072].start 25993.45409375
transcript.pyannote[2072].end 25996.45784375
transcript.pyannote[2073].speaker SPEAKER_06
transcript.pyannote[2073].start 25996.96409375
transcript.pyannote[2073].end 26000.23784375
transcript.pyannote[2074].speaker SPEAKER_04
transcript.pyannote[2074].start 25997.04846875
transcript.pyannote[2074].end 26011.96596875
transcript.pyannote[2075].speaker SPEAKER_06
transcript.pyannote[2075].start 26004.77721875
transcript.pyannote[2075].end 26006.05971875
transcript.pyannote[2076].speaker SPEAKER_04
transcript.pyannote[2076].start 26012.55659375
transcript.pyannote[2076].end 26013.41721875
transcript.pyannote[2077].speaker SPEAKER_04
transcript.pyannote[2077].start 26013.97409375
transcript.pyannote[2077].end 26019.15471875
transcript.pyannote[2078].speaker SPEAKER_08
transcript.pyannote[2078].start 26014.09221875
transcript.pyannote[2078].end 26014.93596875
transcript.pyannote[2079].speaker SPEAKER_08
transcript.pyannote[2079].start 26015.40846875
transcript.pyannote[2079].end 26017.53471875
transcript.pyannote[2080].speaker SPEAKER_04
transcript.pyannote[2080].start 26019.84659375
transcript.pyannote[2080].end 26024.74034375
transcript.pyannote[2081].speaker SPEAKER_04
transcript.pyannote[2081].start 26025.17909375
transcript.pyannote[2081].end 26052.97221875
transcript.pyannote[2082].speaker SPEAKER_00
transcript.pyannote[2082].start 26034.96659375
transcript.pyannote[2082].end 26035.28721875
transcript.pyannote[2083].speaker SPEAKER_06
transcript.pyannote[2083].start 26048.41596875
transcript.pyannote[2083].end 26048.93909375
transcript.pyannote[2084].speaker SPEAKER_04
transcript.pyannote[2084].start 26053.54596875
transcript.pyannote[2084].end 26061.51096875
transcript.pyannote[2085].speaker SPEAKER_04
transcript.pyannote[2085].start 26061.81471875
transcript.pyannote[2085].end 26064.56534375
transcript.pyannote[2086].speaker SPEAKER_04
transcript.pyannote[2086].start 26065.08846875
transcript.pyannote[2086].end 26068.54784375
transcript.pyannote[2087].speaker SPEAKER_04
transcript.pyannote[2087].start 26068.63221875
transcript.pyannote[2087].end 26070.55596875
transcript.pyannote[2088].speaker SPEAKER_06
transcript.pyannote[2088].start 26070.55596875
transcript.pyannote[2088].end 26071.02846875
transcript.pyannote[2089].speaker SPEAKER_04
transcript.pyannote[2089].start 26071.26471875
transcript.pyannote[2089].end 26071.97346875
transcript.pyannote[2090].speaker SPEAKER_04
transcript.pyannote[2090].start 26072.64846875
transcript.pyannote[2090].end 26086.57034375
transcript.pyannote[2091].speaker SPEAKER_04
transcript.pyannote[2091].start 26086.94159375
transcript.pyannote[2091].end 26097.91034375
transcript.pyannote[2092].speaker SPEAKER_04
transcript.pyannote[2092].start 26098.68659375
transcript.pyannote[2092].end 26109.06471875
transcript.pyannote[2093].speaker SPEAKER_04
transcript.pyannote[2093].start 26109.87471875
transcript.pyannote[2093].end 26111.07284375
transcript.pyannote[2094].speaker SPEAKER_06
transcript.pyannote[2094].start 26109.90846875
transcript.pyannote[2094].end 26110.34721875
transcript.pyannote[2095].speaker SPEAKER_06
transcript.pyannote[2095].start 26111.30909375
transcript.pyannote[2095].end 26114.48159375
transcript.pyannote[2096].speaker SPEAKER_06
transcript.pyannote[2096].start 26114.70096875
transcript.pyannote[2096].end 26118.93659375
transcript.pyannote[2097].speaker SPEAKER_11
transcript.pyannote[2097].start 26117.72159375
transcript.pyannote[2097].end 26117.73846875
transcript.pyannote[2098].speaker SPEAKER_04
transcript.pyannote[2098].start 26117.73846875
transcript.pyannote[2098].end 26118.24471875
transcript.pyannote[2099].speaker SPEAKER_06
transcript.pyannote[2099].start 26119.29096875
transcript.pyannote[2099].end 26120.82659375
transcript.pyannote[2100].speaker SPEAKER_06
transcript.pyannote[2100].start 26121.07971875
transcript.pyannote[2100].end 26122.17659375
transcript.pyannote[2101].speaker SPEAKER_06
transcript.pyannote[2101].start 26122.44659375
transcript.pyannote[2101].end 26132.16659375
transcript.pyannote[2102].speaker SPEAKER_04
transcript.pyannote[2102].start 26126.90159375
transcript.pyannote[2102].end 26128.90971875
transcript.pyannote[2103].speaker SPEAKER_04
transcript.pyannote[2103].start 26130.91784375
transcript.pyannote[2103].end 26136.60471875
transcript.pyannote[2104].speaker SPEAKER_06
transcript.pyannote[2104].start 26132.35221875
transcript.pyannote[2104].end 26133.02721875
transcript.pyannote[2105].speaker SPEAKER_04
transcript.pyannote[2105].start 26137.92096875
transcript.pyannote[2105].end 26139.15284375
transcript.pyannote[2106].speaker SPEAKER_04
transcript.pyannote[2106].start 26139.22034375
transcript.pyannote[2106].end 26143.62471875
transcript.pyannote[2107].speaker SPEAKER_04
transcript.pyannote[2107].start 26143.74284375
transcript.pyannote[2107].end 26149.05846875
transcript.pyannote[2108].speaker SPEAKER_09
transcript.pyannote[2108].start 26150.45909375
transcript.pyannote[2108].end 26154.93096875
transcript.pyannote[2109].speaker SPEAKER_09
transcript.pyannote[2109].start 26157.09096875
transcript.pyannote[2109].end 26161.09034375
transcript.pyannote[2110].speaker SPEAKER_09
transcript.pyannote[2110].start 26161.73159375
transcript.pyannote[2110].end 26169.13971875
transcript.pyannote[2111].speaker SPEAKER_09
transcript.pyannote[2111].start 26169.49409375
transcript.pyannote[2111].end 26175.88971875
transcript.pyannote[2112].speaker SPEAKER_09
transcript.pyannote[2112].start 26176.81784375
transcript.pyannote[2112].end 26194.23284375
transcript.whisperx[0].start 1646.167
transcript.whisperx[0].end 1651.658
transcript.whisperx[0].text 我們現在進行國事論壇每位委員發言三分鐘首先請張志倫委員發言蔡春秋委員請準備
transcript.whisperx[1].start 1666.363
transcript.whisperx[1].end 1689.668
transcript.whisperx[1].text 院長 各位同仁 各位媒體朋友大家早安 大家好首先本席要特別感謝韓國瑜院長這段時間以來的辛勞與努力感謝院長在朝野之間調和鼎奈展現了高度的政治智慧與耐心讓議事在分歧中尋求共識
transcript.whisperx[2].start 1691.289
transcript.whisperx[2].end 1714.57
transcript.whisperx[2].text 為國家大局與立法院的運作奠定了穩定的基礎中華民國是憲政民主國家立法院依據憲法監督行政院是為了避免行政權無限擴張替全國人民嚴格把關監督政府依法行政正因為有穩定的憲政法制
transcript.whisperx[3].start 1715.083
transcript.whisperx[3].end 1729.44
transcript.whisperx[3].text 我們更能看清行政怠惰對人民的傷害民黨政府面對國際情勢快速變化與物價上漲整整拖了230天才願意傾聽民意
transcript.whisperx[4].start 1731.082
transcript.whisperx[4].end 1755.07
transcript.whisperx[4].text 就軍人加薪保障警消人員退休年金的決議做出讓步針對總統派院長承諾未來會提出更完整的檢討規劃國民黨團絕對會緊盯進度確保所有軍警消同仁的權益不會被犧牲不再被當成政治提款機
transcript.whisperx[5].start 1756.07
transcript.whisperx[5].end 1780.824
transcript.whisperx[5].text 另外針對立法院決議718億清新計畫的部分之所以同意給予行政院先行動之的彈性完全是以民生為念為了全國民眾的福祉而給予的彈性絕對不是給行政院的空白授權本席呼籲行政團隊既然立法院已展現誠意
transcript.whisperx[6].start 1781.944
transcript.whisperx[6].end 1810.79
transcript.whisperx[6].text 你們就應該苦民所苦把資源用在刀口上不應該有任何的藉口推脫更不能把人民的需求當做籌碼做政治操作同時本席也要重申立法院三讀通過的法律行政院沒有討價還價的空間必須依法執行這不是民主國家法治的體現更是對民意的尊重
transcript.whisperx[7].start 1811.61
transcript.whisperx[7].end 1831.592
transcript.whisperx[7].text 不論是中央政府總預算或特別預算每一分每一毫都是全國人民同胞辛苦的納稅錢立法院會基於憲法所給予的職責必定會嚴格審查北市議會基於職責為全民把關看緊荷包
transcript.whisperx[8].start 1832.413
transcript.whisperx[8].end 1858.485
transcript.whisperx[8].text 本集深知財政紀律對國家發展的重要性會與本黨委員秉持專業理性的態度做最嚴格的把關該給的預算我們一毛不刪該不該花的冤枉錢大內宣我們也會一毛不給落實為全民監督好 謝謝張志仁委員的發言 謝謝接下來請蔡春筹委員發言邱惠如委員請準備
transcript.whisperx[9].start 1880.865
transcript.whisperx[9].end 1906.978
transcript.whisperx[9].text 院長 各位同仁 大家早卓院長在進入今天的主題之前我以一位退休老師的身份要告訴你現在校園的現場正在安靜的崩解我當了一輩子的老師深知教育就是志業而這一份志業已經慢慢的在瓦解了
transcript.whisperx[10].start 1907.717
transcript.whisperx[10].end 1929.485
transcript.whisperx[10].text 4月10號我指使了終結教室方的公聽會來自八位基層的教師的吶喊讓我在台上聽了心如刀割因為我們的教育職場已經有毒了當老師把20%的精力放在教學卻要把80%的時間來應付
transcript.whisperx[11].start 1934.577
transcript.whisperx[11].end 1960.393
transcript.whisperx[11].text 行政的KPI還有要去應付患難的校事會議在公聽會上有一位心痛的校長他說現在校園不是在辦學是在辦案這樣子如何讓老師保持熱情呢在現行的法治的一個限制下基層的老師呼籲
transcript.whisperx[12].start 1961.656
transcript.whisperx[12].end 1989.518
transcript.whisperx[12].text 管教权不断的被剥夺老师不断的被滥诉被贴标签为了不要让这样的一个现象发生所以选择不管教不做不错这样的一个消极的态度现在主事人提议班因为学校的校队尊重
transcript.whisperx[13].start 1990.379
transcript.whisperx[13].end 2009.406
transcript.whisperx[13].text 體育的傳統的一個規則以及運動精神所以學校現在最有禮貌的就是體育選手院長行政院團隊不能互推皮球了基層已經快窒息了我在此代表
transcript.whisperx[14].start 2010.697
transcript.whisperx[14].end 2024.663
transcript.whisperx[14].text 民眾黨要求行政院一級落實三項的一個三點一要行政專責化落實行政影響評估請將行政給專職人員來做把時間還給老師把老師還給學生
transcript.whisperx[15].start 2031.977
transcript.whisperx[15].end 2058.83
transcript.whisperx[15].text 第二 教師待遇結構必須要改革掛鍋通本 避免把優秀的教師逼向民間企業三 建議校園的一個法治支持系統 季節濫速院長 教育不是冷冰冰的KPI如果老師不幸福 學生就不可能健康如果校園充滿焦慮 國家就沒有未來
transcript.whisperx[16].start 2060.307
transcript.whisperx[16].end 2064.833
transcript.whisperx[16].text 行政院應該更努力的還給台灣師生一個健康尊嚴
transcript.whisperx[17].start 2086.109
transcript.whisperx[17].end 2109.968
transcript.whisperx[17].text 主席 各位委員同仁 各位政府部門的同仁還有各位媒體朋友大家好護理之家的相關規定規範於護理人員法然而護理人員法只針對護理之家的人床比進行規範卻沒有對護病比進行規範人床比跟護病比是兩個不同的概念
transcript.whisperx[18].start 2111.513
transcript.whisperx[18].end 2138.661
transcript.whisperx[18].text 何謂人床比是指設置一家護理機構要配置多少護理人員人力護理機構設置標準指出每15床應該配置一名護理人員的人力所以舉例言之如果你要開設一家45床的護理機構因為每15床要配置一位護理人員所以你必須要聘三位護理人員才能夠開設一家護理機構
transcript.whisperx[19].start 2139.941
transcript.whisperx[19].end 2155.01
transcript.whisperx[19].text 然而護理機構的工作也是採三班輪班制分別有白班 小業 大業班所以你聘請的三名護理人員平均分配到白班 小業 大業班每一個班別只有一個護理人員
transcript.whisperx[20].start 2156.111
transcript.whisperx[20].end 2184.027
transcript.whisperx[20].text 換言之就是以一個護理人員的人力要照顧45床的住民請問大家覺得護理人員的工作負荷量不會太大嗎然而什麼是護病比護病比是指護理人員照顧病人的比例人床比是設置護理機構的標準護病比才能夠反映護理人員照顧病人的工作負荷量所以護病比才是理想反映工作
transcript.whisperx[21].start 2184.887
transcript.whisperx[21].end 2211.585
transcript.whisperx[21].text 負荷量的標準2012年台南新寧醫院北門分院發生大火事件造成嚴重的死傷其原因在於護理人員的人力不足護理人員缺乏以至於沒有辦法疏散住民造成嚴重的損傷對此監察院還糾正衛福部旨在衛福部待於制定護理機構的人力標準
transcript.whisperx[22].start 2212.897
transcript.whisperx[22].end 2223.148
transcript.whisperx[22].text 衛福部接受了監察院的糾正之後修改護理機構設置標準的附表進一步規範任何時段的護理人力
transcript.whisperx[23].start 2225.326
transcript.whisperx[23].end 2252.965
transcript.whisperx[23].text 對比住民的人力不能夠低於15這個數字但是這個依然不是三班互併比的規定所以我們在這邊呼籲衛福部應該針對護理之家的人力好好的規劃制定三班互併比而且也要針對違反三班互併比的護理機構制定罰則如此一來護理人員的工作負荷才能夠合理
transcript.whisperx[24].start 2254.026
transcript.whisperx[24].end 2274.648
transcript.whisperx[24].text 護理人員的工作負荷合理也才能夠進一步保障護理人員的勞動權益進一步保障住民的照護品質我們在這邊呼籲衛福部希望不久的將來可以看到這樣的成果 謝謝好 謝謝邱惠如委員的發言我們接下來請陳冠廷委員發言 林倩琦委員請準備
transcript.whisperx[25].start 2290.339
transcript.whisperx[25].end 2312.859
transcript.whisperx[25].text 院長各位同仁大家好那我今天還是一樣想要在這邊藉由國事論壇跟全民來報告我們現在國防特別條例的進度我們在跟在野黨裡面有根本上的不同在於商購跟委事的部分我們認為說除了對美的軍購之外必須要有本土的國防能力必須要國防自主的能力
transcript.whisperx[26].start 2313.513
transcript.whisperx[26].end 2341.986
transcript.whisperx[26].text 那我想在美國聯邦參議院的首席成員夏欣連同克里斯羅森提利斯三位參議員在上週應該是說在兩天三天前聯名致函上次我們會見的所有的在野黨的委員跟包含我自己那裡面有提到此刻沒有什麼比台灣投資於根本生產本土生產的長期嚇阻更能展現決心
transcript.whisperx[27].start 2343.752
transcript.whisperx[27].end 2370.361
transcript.whisperx[27].text 現在這場需要的是中科院現在所開發的那些低成本具動態反應能力的系統現在所需要的是無人載具是我們能夠本土源源不斷製造的無人載具我想這跟商購跟微資是密不可分的所以目前朝野最大的爭點之一就是微資跟商購我在這邊也是誠摯的呼籲我們在野黨的好朋友們 夥伴們能夠仔細思考
transcript.whisperx[28].start 2371.437
transcript.whisperx[28].end 2386.766
transcript.whisperx[28].text 對美國而言台灣的利益是他們利益的一部分對台灣而言我們面臨的是生存的危機如果沒有具備這些能力的話那我們生存就會遇到挑戰所以我也非常感謝在上一次的朝野協商裡面
transcript.whisperx[29].start 2387.426
transcript.whisperx[29].end 2403.361
transcript.whisperx[29].text 我們有感受到年輕的在野黨的委員以及包含在野黨的領袖包含這個韓院長都已經積極的展現出希望去跟他們的黨團好好的去討論我認為這一種氣氛我們不能夠浪費掉
transcript.whisperx[30].start 2406.904
transcript.whisperx[30].end 2433.494
transcript.whisperx[30].text 誠摯的希望說接下來下週一下週一會有一個精密的專題報告我們會把商購跟偽製的實際用途跟朝野同仁做完整的說明我期待這一次的報告能夠成為突破僵局的契機但是在這個契機之中我們也希望在朝野協商下週之前如果有機會的話各黨的總召包含韓國瑜院長
transcript.whisperx[31].start 2434.619
transcript.whisperx[31].end 2459.725
transcript.whisperx[31].text 包含副院長大家可以仔細看一看這些條文以及仔細聽聽看各國對我們自主生產能力的擔憂那藉由這樣子的討論非正式的討論或者是說在各黨的領導階層的討論是不是有機會來去思考把它通過那我們都知道我們必須在衝突中尋求平衡
transcript.whisperx[32].start 2460.905
transcript.whisperx[32].end 2483.671
transcript.whisperx[32].text 在尋求平衡中找到進步的機會但是時間不待人我認為我們必須要啟動要開始認真思考好謝謝陳冠廷委員的發言開創了一個國事論壇新方式新模式令人耳目一新好謝謝我們接下來請林倩紀委員發言洪孟凱委員請準備
transcript.whisperx[33].start 2495.646
transcript.whisperx[33].end 2508.295
transcript.whisperx[33].text 院長、輔會同仁、媒體朋友還有全國朋友大家好百億基金要到位運動防護、水域運動、花東地區的產業發展是關鍵本期金要談的是我國運動產業發展的關鍵轉折點
transcript.whisperx[34].start 2511.917
transcript.whisperx[34].end 2528.806
transcript.whisperx[34].text 國發會提出了主題式的白衣基金運動部也依據相關的法規擬定了長期投資方案政策基礎已經具備資金也到位但本席關注的是資源是否仍然會忽略掉真正需要扶植的領域如果只是持續投資既有
transcript.whisperx[35].start 2529.386
transcript.whisperx[35].end 2558.095
transcript.whisperx[35].text 成熟的項目或集中於都會區短期或許能夠看到一些績效但是對整體產業的升級幫助有限因此本席提出三個優先方向第一是運動防護的專業機制運動人口持續增加從基層學校到職業運動從社區運動到高齡健康促進運動傷害的預防處理與復健都需要專業人員的介入但目前運動防護體系資源分散
transcript.whisperx[36].start 2558.875
transcript.whisperx[36].end 2575.858
transcript.whisperx[36].text 社会不足人才培育不够完整课程与制度也还没有全面性的建立本席认为百益基金应该明确的纳入运动防护体系的建制包括支持运动防护装备的升级投资人才培育与专业课程
transcript.whisperx[37].start 2576.599
transcript.whisperx[37].end 2593.178
transcript.whisperx[37].text 建立区域型运动防护的服务网络建制运动防护师的制度让运动防护专业能够真正进入各级运动场域第二是台湾的水域运动台湾四面环海却长期没有建立完整的水域运动产业链
transcript.whisperx[38].start 2594.239
transcript.whisperx[38].end 2617.317
transcript.whisperx[38].text 場域零散教練不足設施不夠防護體系缺乏最重要的是保險跟整個配套很不完整導致發展停滯不前這是百億基金最需要介入的領域本席建議應該以區域為單位投資水域運動中心培養教練跟防護人才並結合觀光發展發展完整的海洋運動鏈讓水域運動
transcript.whisperx[39].start 2619.198
transcript.whisperx[39].end 2639.414
transcript.whisperx[39].text 从零散活动转化成可以持续经营的产业第三是花东地区花东具备有非常优秀的运动人才独特的自然环境以及发展户外跟水域运动的条件但长期以来人才在东部资源集中在西部导致产业无法在地形成
transcript.whisperx[40].start 2640.054
transcript.whisperx[40].end 2653.163
transcript.whisperx[40].text 美席認為應該將花東列為優先投資區域結合交通觀光與地方政府的資源建立跨部會整合的模式讓運動投資真正可以帶動產業發展
transcript.whisperx[41].start 2656.107
transcript.whisperx[41].end 2679.081
transcript.whisperx[41].text 运动发展需要完整体系的建构,本席强调真正有意义的投资不是投入只有已经成熟的地方,而是投入更有潜力但尚未完成的领域,运动防护、水域运动、花冬发展这三个方向是产业的机会,更是国家长期发展的关键布局,百亿基金要投的是台湾运动产业的未来。
transcript.whisperx[42].start 2681.838
transcript.whisperx[42].end 2688.244
transcript.whisperx[42].text 好謝謝林倩琦委員的發言謝謝我們接下來我們今天最後一位登記第6號侯孟楷委員請發言
transcript.whisperx[43].start 2705.768
transcript.whisperx[43].end 2713.188
transcript.whisperx[43].text 主席 兩院院長以及我們所有立院同仁守護善良人民的正義才是真正的公平正義
transcript.whisperx[44].start 2714.657
transcript.whisperx[44].end 2741.593
transcript.whisperx[44].text 這個禮拜一本席以及我們國民黨團的委員共同開記者會主要是我們連署來提案要做邊形打詐的公投針對性侵、虐童以及詐騙的惡務、猖獗我們希望政府能夠用更積極的態度來對付但果不其然也看到有一些反對的聲音並且也看到有吸反涉涉的講是說這是違反人權或是不要走回頭路
transcript.whisperx[45].start 2742.273
transcript.whisperx[45].end 2761.18
transcript.whisperx[45].text 但我們真的想要問的是在今天的國事論壇的殿堂上面我們想要代替台灣2350萬人問的是到底我們要保護的是被害者的人權還是加害者的人權就請教三個問題就好第一新加坡我們能夠說它是一個沒有人權的國家或是違反人權的國家嗎並不會
transcript.whisperx[46].start 2763.049
transcript.whisperx[46].end 2782.449
transcript.whisperx[46].text 第二當詐騙集團詐騙了被害者一輩子辛苦累積的積蓄的時候我們有問詐騙集團你有考慮到被害者的人權嗎以及第三當凱凱案發生的時候那惡劣的保姆我們想請教他有在在乎凱凱的人權嗎
transcript.whisperx[47].start 2784.693
transcript.whisperx[47].end 2801.141
transcript.whisperx[47].text 所以其實只要攤開這樣子的一個過程以及我們想要追求的公平正義我們就知道其實政府也好 人民也好 民意代表也好我們都有一個責任就是我們要捍衛的是善良人民的正義這才是真正的公平正義
transcript.whisperx[48].start 2802.854
transcript.whisperx[48].end 2818.566
transcript.whisperx[48].text 這個禮拜也有新加坡議員來到台灣我也跟他深談了很久並且我本來也邀請他能夠來跟我一起公開針對新加坡制度來做一些討論但是他基於尊重各國的內政他說他不變但是他跟我分享兩個很關鍵的重點
transcript.whisperx[49].start 2820.506
transcript.whisperx[49].end 2839.448
transcript.whisperx[49].text 第一個重點他說應該要思考的是不要錯判而不是說不能判重新加坡就是因為他們尊重制度相信制度也因此他們在做邊形的討論之前以及邊形實施之前他們甚至用政府公費給犯罪者聘請兩位律師來幫他辯護
transcript.whisperx[50].start 2841.33
transcript.whisperx[50].end 2868.566
transcript.whisperx[50].text 讓犯罪者去自稱他自己的所謂的清白但如果到最後他還是變成面臨到要編刑的刑責的時候那就勇於執行因為那是法院三審定驗的制度當一個制度三審定驗的時候新加坡政府選擇相信他們的司法判決而台灣反觀我們到目前為止還有30多位死刑犯三審定驗之後還沒有執行我們的法務部長難道不相信我們的制度嗎
transcript.whisperx[51].start 2869.414
transcript.whisperx[51].end 2889.091
transcript.whisperx[51].text 第二個部分要讓受害者有希望的繼續生活下去因為讓受害者知道政府會為他討回公道讓受害者知道政府有能力在對被害者提出更嚴厲的製裁的時候這才符合我們的公平正義這個議題我們會持續追因為這是國人共同關心我們一起加油公平正義是我們共同發掘的價值
transcript.whisperx[52].start 2897.028
transcript.whisperx[52].end 2912.465
transcript.whisperx[52].text 好 謝謝洪孟凱委員令人印象深刻的發言 謝謝好 登記國事論壇發言委員已經發言完畢我們請各黨團幹部上午10點至議場後方主營休息室我們來進行本次會議議程之溝通再一次謝謝卓院長各位列席閣員 現在休息
transcript.whisperx[53].start 5242.458
transcript.whisperx[53].end 5252.668
transcript.whisperx[53].text 好我們現在請民主黨報告出席人數報告院會出席委員67人已足法定人數好現在開會報告院會我們先處理朝野黨團協商結論請議事人員宣讀
transcript.whisperx[54].start 5256.223
transcript.whisperx[54].end 5279.113
transcript.whisperx[54].text 依法院黨團協商結論時間115年4月15日星期三下午3時30分地點紅樓302會議室決定事項依各黨團同意定於4月21日星期二邀請行政院院長主計長財政部部長列席報告115年度中央政府總預算案編制經過並備質詢含志願役軍人加薪及警消人員退休金等預算編制處理情形並與報告
transcript.whisperx[55].start 5280.593
transcript.whisperx[55].end 5303.832
transcript.whisperx[55].text 質詢人數由國民黨黨團推派5人民進黨黨團推派5人台灣民眾黨黨團推派1人進行質詢順序依例授權議事處辦理名單請於4月20日星期一中午12時前送至議事處會診議案尋答完畢後即交審查各黨團同意不提出複議當次會議不處理臨時提案令台灣民眾黨黨團針對115年度中央政府總預算案支付議案予以撤回
transcript.whisperx[56].start 5304.372
transcript.whisperx[56].end 5313.011
transcript.whisperx[56].text 二 請財政委員會於4月16日星期四下午5時前將總預算案審查日程及分配表送交議事處必提4月17日星期五院會報告
transcript.whisperx[57].start 5314.369
transcript.whisperx[57].end 5336.576
transcript.whisperx[57].text 三 各黨團同意針對115年度總預算案赴委事宜為求行政立法互動和諧同意要點如下一 行政院應於115年度總預算案赴委後半年內提出有關軍人待遇條例及警察人員人事條例之相關修正案及其他有關軍公教保障措施以展現回應立法保障軍公教權益之意旨二
transcript.whisperx[58].start 5337.236
transcript.whisperx[58].end 5338.137
transcript.whisperx[58].text 請願院會對以上超級黨的協商有無異議無異議 我們就通過
transcript.whisperx[59].start 5366.624
transcript.whisperx[59].end 5368.528
transcript.whisperx[59].text 115年4月15日朝野黨團協商結論經決定由下一
transcript.whisperx[60].start 5373.339
transcript.whisperx[60].end 5394.276
transcript.whisperx[60].text 各黨團同意於4月21日星期二邀請行政院院長、主計長、財政部長列席報告115年度中央政府總預算案編制經過並備諮詢含志願軍人加薪及錦銷退休金等預算編制處理情形並與報告
transcript.whisperx[61].start 5396.794
transcript.whisperx[61].end 5419.168
transcript.whisperx[61].text 質詢人數由國民黨團推派五位民進黨團推派五位台灣民眾黨團推派一位進行質詢順序依例授權議事處辦理名單請於4月20號星期一中午12點前送交至議事處會診議案詢答完畢後即交審查各黨團同意不提出復議
transcript.whisperx[62].start 5423.612
transcript.whisperx[62].end 5434.064
transcript.whisperx[62].text 麻煩各位同仁議場稍微安靜一點好嗎拜託各位委員同仁議場稍微安靜一點點我們再宣讀朝野黨論協商
transcript.whisperx[63].start 5435.575
transcript.whisperx[63].end 5457.216
transcript.whisperx[63].text 議案詢答後即交審查各黨團同意不提出復議當次會議不處理臨時提案令台灣民眾黨團針對115年中央政府總預算案之復議案予以撤回二 請財政委員會於4月16日星期四下午5點前將總預算案審查日程及分配表送交議事處
transcript.whisperx[64].start 5458.277
transcript.whisperx[64].end 5483.178
transcript.whisperx[64].text 已立於4月17日星期五院會報告三 各黨團同意針對115年度總預算案赴委事宜為求行政立法互動和諧同意要點如下小一 行政院因於115年度總預算案赴委後半年內提出有關軍人待遇條例及警察人員人事條例之相關修正案
transcript.whisperx[65].start 5484.159
transcript.whisperx[65].end 5503.066
transcript.whisperx[65].text 及其他有關軍公教保障措施以展現回應立法保障軍公教權益之意旨小二令針對總預算案完成審查前立法院以通過之新興計劃動之案行政院應與立刻先行執行
transcript.whisperx[66].start 5503.906
transcript.whisperx[66].end 5509.85
transcript.whisperx[66].text 立法院於審議上開新興計畫時同意如數照列並免於凍結
transcript.whisperx[67].start 8343.65
transcript.whisperx[67].end 8362.108
transcript.whisperx[67].text 立法院黨團協商結論時間115年4月17日星期五上午實施地點議場主席辦公室決定事項一中華民國115年度中央政府總預算案含附屬單位預算及重計表營業及分業部分審查日程較財政委員會決議通過審查分配表照B版通過並115年度中央政府總預算案處理
transcript.whisperx[68].start 8362.668
transcript.whisperx[68].end 8377.327
transcript.whisperx[68].text 二 各黨團同意5月5日星期二與4月24日星期五、28日星期二合併為一次會議5月5日星期二上午進行檢查總長人事同意全案近民投票表決投票時間為一小時並由各黨團各推派一人擔任投開票檢察員其餘相關投票事務工作異議授權議事處辦理
transcript.whisperx[69].start 8379.529
transcript.whisperx[69].end 8401.939
transcript.whisperx[69].text 當日上午10時開會3.5月5日星期二下午邀請省紀部省紀長列席報告113年度中央政府總決算審核報告中央政府前瞻基礎建設計畫第四期特別決算審核報告等案審核經過並備諮詢 諮詢人數由國民黨黨團推派三人民進黨黨團推派三人 台灣民眾黨團推派一人進行諮詢順序一律授權議事處辦理 名單取允5月10日星期一中午12時前送至議事處會診議案詢答完畢後
transcript.whisperx[70].start 8404.44
transcript.whisperx[70].end 8430.532
transcript.whisperx[70].text 及交審查 各黨團同意不提出賦予當次會議不處理臨時提案四 各黨團同意於本次會議質詢期間將委員范瑩等18人拟據衛生福利部組織法第二條條文修正草案 台灣民政黨黨人拟據國家醫療科技評估中心設置條例草案案自司法及法制社會福利及衛生環境兩委會籌出進付二讀與相關提案並按協商主持人韓國瑜協商代表傅坤琦 林佩翔 徐宇貞蔡琴桑 范瑩 莊瑞雄 陳清榮 王安祥 邱瑋璐宣讀完畢
transcript.whisperx[71].start 8431.403
transcript.whisperx[71].end 8452.169
transcript.whisperx[71].text 請問因為對以上朝野黨團協商有無異議沒有異議我們就通過115年4月17號朝野黨團協商結論經決定如下依中華民國115年度中央政府所預算案含附屬單位預算及中繼表營業及非營業部分審查日程照財政委員會決議通過審查分配表照B版通過
transcript.whisperx[72].start 8453.849
transcript.whisperx[72].end 8476.656
transcript.whisperx[72].text 並115年度中央政府總預算案處理二 各黨團同意5月5號星期二與4月24號星期五28號星期二合併為一次會議5月5號星期二上午進行檢查總長人事同意權記名表決投票時間一小時並由各黨團推派一位擔任投開票監察員其相關投票事務工作依例授權議事處進行處理當日上午10點開會
transcript.whisperx[73].start 8478.959
transcript.whisperx[73].end 8507.197
transcript.whisperx[73].text 三 五月五號星期二下午邀請省紀長列席報告一百三年度中央政府總決算審核報告中央政府前瞻基礎建設第四期特別決算審核報告等案審核並被質詢質詢人數由國民黨團推派三位民進黨團推派三位台灣民眾黨團推派一位進行質詢順序依例授權議事處辦理名單請於五月四號星期一中午十二點前送交議事處會診
transcript.whisperx[74].start 8508.798
transcript.whisperx[74].end 8536.116
transcript.whisperx[74].text 議案巡查完畢後即將審查各黨團同意不提出復議當次會議不處理臨時提案四各黨團同意於本次會議質詢期間將范雲委員等18位凝聚衛生福利部組織法第二條條文修正草案台灣民眾黨團凝聚國家醫療科技評估中心設置條例草案至司法及法治社會福利及衛生環境兩委員會抽出晉覆二讀與相關提案並按協商
transcript.whisperx[75].start 8537.998
transcript.whisperx[75].end 8558.929
transcript.whisperx[75].text 報院會因為程旭文本次會議的議事日程草案送院會處理現在的黨團依照本院議事成立對本次會議議事日程草案提出異議我們現在進行處理並截止收案現在的黨團共識如下一議事日程草案確認循例一提案先後進行處理二各黨團同意本次會議討論事項緊列案不下
transcript.whisperx[76].start 8559.529
transcript.whisperx[76].end 8576.638
transcript.whisperx[76].text 第一案至第四案開放印度移工專案報告案法院組織法修正案刑事訴訟法修正案教師法修正案三新增一般提案開放印度移工專案報告案不說明及發言並不表決禁服二讀交付協商四
transcript.whisperx[77].start 8577.378
transcript.whisperx[77].end 8596.289
transcript.whisperx[77].text 不須協商三案完成三讀之後由各黨團推派一位委員來進行發言五不須協商這貪污治罪條例第十二條條文修正草案各黨團同意與民進黨黨團提案之後我們再進行處理六今天上午願會進行至討論事項處理完畢後即休息下午進行經濟組織諮詢諮詢完畢之後即休息歡迎我們現在依照
transcript.whisperx[78].start 8602.312
transcript.whisperx[78].end 8603.535
transcript.whisperx[78].text 黨團共識來先進行報告事項,請議事人宣讀黨團是題內門
transcript.whisperx[79].start 8608.424
transcript.whisperx[79].end 8634.605
transcript.whisperx[79].text 本院民進黨黨團針對立法院第十一屆第五會期第七次會議議事日程報告事項質詢事項擬請甄列報告事項33案如附表是否有當進行公決本院台灣民眾黨黨團針對第十一屆第五會期第七次會議議程報告事項質詢事項及對行政院院長提出施政方針及施政報告繼續質詢提議僅限列議程草案署列1案及下表署列78案是否有當進行公決
transcript.whisperx[80].start 8635.566
transcript.whisperx[80].end 8651.881
transcript.whisperx[80].text 本院國民黨黨團針對第十一屆第五會期第七次會議議程報告事項諮詢事項及對行政院院長提出施政發生及施政報告繼續諮詢提議僅限列議程草案所列議案及下表所列七十八案是否有當進行公決宣讀完畢
transcript.whisperx[81].start 9092.547
transcript.whisperx[81].end 9114.205
transcript.whisperx[81].text 好 報告院會我們207分鐘時間已到 請問委員是否都有拿到表決卡都有拿到表決卡 我們開始要進行表決報告院會現在針對民進黨提議要進行表決民進黨團 台灣民眾黨團要求記名表決我們贊成民進黨團提起請案 贊成反對 按反對時間一分鐘 現在開始
transcript.whisperx[82].start 9185.472
transcript.whisperx[82].end 9203.801
transcript.whisperx[82].text 報告委員會報告表決結果出席107位委員贊成51位反對56位贊成者少數民進黨黨團提議不通過報告委員會我們要進行處理台灣民眾黨團僅限列之提議因為國民黨團提議與該黨團提議相同我們一併進行處理請問院會針對台灣民眾黨團國民黨團提議通過有無異議
transcript.whisperx[83].start 9214.727
transcript.whisperx[83].end 9220.191
transcript.whisperx[83].text 有無異議有異議 我們要進行表決我們現在開始針對台灣民眾黨團 國民黨團提議我們要進行表決現在民進黨團要求記名表決贊成 反對 暗反對時間一分鐘 現在開始
transcript.whisperx[84].start 9301.411
transcript.whisperx[84].end 9320.927
transcript.whisperx[84].text 報告約會報告表決結果在場委員出席107位贊成56位反對51位贊成者多數台灣民眾黨團國民黨團體照案通過本次會議日程報告事項執行事項及對行政院院長施政報告繼續質詢照台灣民眾黨團國民黨團體通過本次會議日程討論事項依照黨團共識通過
transcript.whisperx[85].start 9328.874
transcript.whisperx[85].end 9346.667
transcript.whisperx[85].text 另外剛才院會通過這協商結論4月21號進行115年度中央政府總預算案編制經過報告並被質詢本次會議議事程確定我們現在進行報告事項請秘書長宣讀第五會期第六次會議議事錄
transcript.whisperx[86].start 9348.722
transcript.whisperx[86].end 9374.409
transcript.whisperx[86].text 選舉六案第十一屆第五會期第六次會議一四日時間中華民國一百四十五年四月十日十四日地點表演場出席委員吳委員配議等一百十三人歷史官員行政院長卓亮泰等主席院長韓國瑜副院長江啟臣報告事項第一案選舉表演第十一屆第十五會期第五次會議一四日決定確定第二案至二百六十案其中第十三十八三三四十一案
transcript.whisperx[87].start 9375.089
transcript.whisperx[87].end 9402.647
transcript.whisperx[87].text 均決定進入相關提案並按協商第123案決定交依黨團協商結論處理第254案決定展延審查期限7.1案均決定交相關委員會審查處理或交互相關委員會處詢事項行政院達到部分事件討論事項第2案決定進行處理第23案均決議交互黨團協商第4案決議通過對行政院長
transcript.whisperx[88].start 9404.198
transcript.whisperx[88].end 9421.019
transcript.whisperx[88].text 提出施政方針提施政報告繼續執行決定下次會議繼續進行經濟執行其他事項一115年4月10日朝野黨團協商結論一件化北市會議議事日程照台灣民眾黨黨團國民黨黨團提議
transcript.whisperx[89].start 9423.682
transcript.whisperx[89].end 9451.593
transcript.whisperx[89].text 及黨團共識通過宣讀完畢委員會針對第五會期第六次會議失誤並沒有委員或黨團提出錯誤或遺漏之處我們現在做以下決定第五會期第六次會議失誤確定現在處理針對的部分及宣讀第一案一 委員黃建豪等你據公路法第六十五條條文修正草案你交交通委員會審查宣讀完畢請問議員會有無異無異通過下一案二 委員黃建豪等你據公路法部分條文修正草案你交交通委員會審查宣讀完畢
transcript.whisperx[90].start 9452.93
transcript.whisperx[90].end 9456.013
transcript.whisperx[90].text 無疑通過下案無疑通過下案無疑通過下案無疑通過下案
transcript.whisperx[91].start 9479.859
transcript.whisperx[91].end 9505.922
transcript.whisperx[91].text 6.委員徐宇甄等你據《所得稅法》第17條條文修正草案擬交財政委員會審查 宣讀完畢7.委員徐宇甄等你據《大學法》第35條條文修正草案擬交教育及文化委員會審查 宣讀完畢8.委員徐宇甄等你據《高級中等教育法》第58條條文修正草案擬交教育及文化委員會審查 宣讀完畢9.委員徐宇甄等你據《中科學校法》第44條條文修正草案擬交教育及文化委員會審查 宣讀完畢
transcript.whisperx[92].start 9507.743
transcript.whisperx[92].end 9535.555
transcript.whisperx[92].text 10.委員曾經未等你居專科學校法第44條條文修正草案擬交教育及文化委員會審查選短幣11.委員曾經未等你居大學法第35條條文修正草案擬交教育及文化委員會審查選短幣12.委員曾經未等你居家庭暴力防治法第31條條文修正草案擬交社會福利及衛生環境司法及法治兩委會審查選短幣13.委員曾經未等你居就業保險法第19條之2條文修正草案擬交社會福利及衛生環境委員會審查選短幣
transcript.whisperx[93].start 9537.576
transcript.whisperx[93].end 9561.626
transcript.whisperx[93].text 14.委員陳金威等你據兒童及少年福利與權益保障法第7條第9條第13條條文修正草案擬交社會福利及衛生環境委員會審查15.委員翁曉琳等你據所得稅法第17條條文修正草案擬交財政委員會審查宣傳片16.委員翁曉琳等你據偏遠地區學校教育發展條例第7條條文修正草案擬交教育及文化委員會審查宣傳片
transcript.whisperx[94].start 9562.606
transcript.whisperx[94].end 9581.596
transcript.whisperx[94].text 十七 委員歐小林等你據教師法第25條條文修正草案擬交教育及文化委員會審查 宣斷並十八 委員歐小林等你據刑事訴訟法第413條條文修正草案擬交司法及法治委員會審查 宣斷並十九 委員歐小林等你據教師待遇條例第19條條文修正草案擬交司法及法治教育及文化委員會審查
transcript.whisperx[95].start 9583.237
transcript.whisperx[95].end 9610.365
transcript.whisperx[95].text 二十 委員歐小林等你具《氣候變遷利益法》第五條條文修正草案 擬交社會福利及衛生環境經濟財政內政交通教育及文化六委會審查 宣讀完畢二十一 委員馬文君等你具《兒童及少年福利與權益保障法》第二十七條條文修正草案 擬交社會福利及衛生環境委員會審查 宣讀完畢二十二 委員馬文君等你具《性別平等工作法》第十九條條文修正草案 擬交社會福利及衛生環境委員會審查 宣讀完畢
transcript.whisperx[96].start 9611.545
transcript.whisperx[96].end 9635.842
transcript.whisperx[96].text 二十三委員李燕秀等你具以他法第一百二十五條條文修正草案你交財政委員會審查宣傳幣二十四委員李燕秀等你具虛擬資產服務法草案你交財政委員會審查宣傳幣二十五委員李燕秀等你具以海關競合稅責部分稅責修正草案你交財政委員會審查宣傳幣二十六委員林倩琦等你具居住權法部分條文修正草案你交經濟委員會審查宣傳幣
transcript.whisperx[97].start 9636.983
transcript.whisperx[97].end 9662.824
transcript.whisperx[97].text 二十七委員 林倩琦等女居所得稅法第十七條條文修正草案 擬交財政委員會審查宣託幣二十八委員 林倩琦等女居監獄行刑法部分條文修正草案 擬交司法及法治委員會審查宣託幣二十九委員 林倩琦等女居就業保險法第十九條之一條文修正草案 擬交社會福利及衛生環境委員會審查宣託幣三十委員 林倩琦等女居環境基本法第二十三條條文修正草案 擬交社會福利及衛生環境委員會審查宣託幣
transcript.whisperx[98].start 9664.205
transcript.whisperx[98].end 9680.068
transcript.whisperx[98].text 三十一委員蘇青群人等擬具廢棄物清理法第五條及第四條條文修正草案擬交社會福利及衛生環境委員會審查宣討案例三十二委員羅廷惠等擬具廢棄物清理法部分條文修正草案擬交社會福利及衛生環境委員會審查宣討案例
transcript.whisperx[99].start 9681.363
transcript.whisperx[99].end 9683.084
transcript.whisperx[99].text 無疑通過 效應無疑通過 效應無疑通過 效應
transcript.whisperx[100].start 9697.71
transcript.whisperx[100].end 9724.483
transcript.whisperx[100].text 35.委員徐欣盈等女居水利法第78條之一及第83條之十條文修正常案擬交經濟委員會審查宣傳並36.委員徐欣盈等女居石油管理法部分條文修正常案擬交經濟委員會審查宣傳並37.委員徐欣盈等女居零售市場管理條例部分條文修正常案擬交經濟委員會審查宣傳並38.委員徐欣盈等女居技術及職業教育法第25條條文修正常案擬交教育及文化委員會審查宣傳並
transcript.whisperx[101].start 9725.983
transcript.whisperx[101].end 9736.348
transcript.whisperx[101].text 39.委員徐欣穎等女居國家氣候變遷調適任性中心設置條例草案 擬交司法及法制社會福利及衛生環境兩委會審查宣讀完畢40.
transcript.whisperx[102].start 9736.348
transcript.whisperx[102].end 9744.892
transcript.whisperx[102].text 委員徐欣穎等女居環境部組織法第二條及第五條質疑條文修正草案 擬交司法及法制社會福利及衛生環境兩委會審查宣讀完畢
transcript.whisperx[103].start 9746.193
transcript.whisperx[103].end 9761.92
transcript.whisperx[103].text 四十一委員徐欣盈等你具性別平等工作法部分條文修正常案你交社會福利及衛生環境委員會審查我已通過宣揚四十二委員廖耀賢等你具就業保險法第十一條及第十九條之二條文修正常案你交社會福利及衛生環境委員會審查我已通過宣揚
transcript.whisperx[104].start 9763.2
transcript.whisperx[104].end 9779.207
transcript.whisperx[104].text 四十三委員廖偉祥等你居醫療法第102條條文修正草案你將社會福利及衛生環境委員會審查宣傳並無異通過 效應四十四委員廖偉祥等你居兒童及少年福利與權益保障法第27條條文修正草案你將社會福利及衛生環境委員會審查宣傳並無異通過 效應
transcript.whisperx[105].start 9779.767
transcript.whisperx[105].end 9807.303
transcript.whisperx[105].text 四十五 國民黨黨團拟據大學法第35條 條文修正條案 擬交教育及文化委會審查 宣傳並四十六 國民黨黨團拟據專科學校法第44條 條文修正條案 擬交教育及文化委會審查 宣傳並四十七 國民黨黨團拟據高級中等教育法第58條 條文修正條案 擬交教育及文化委會審查 宣傳並四十八 國民黨黨團拟據偏遠地區學校教育發展條例第7條及第8條 條文修正條案 擬交教育及文化委會審查 宣傳並
transcript.whisperx[106].start 9809.165
transcript.whisperx[106].end 9825.726
transcript.whisperx[106].text 49.國民黨黨團領據《家庭暴力防治法》部分條文修正草案 領交社會福利及衛生環境 司法及法治兩委會審查宣傳幣50.國民黨黨團領據《氣候變遷因應法》第五條條文修正草案 領交社會福利及衛生環境 經濟財政 內政 交通 教育及文化六委會審查宣傳幣
transcript.whisperx[107].start 9827.048
transcript.whisperx[107].end 9855.385
transcript.whisperx[107].text 五十一 國民黨黨團領據《私自證基本法》草案 擬交社會福利及衛生環境委員會審查 宣討 密五十二 國民黨黨團領據《就業保險法》第十九條之一條文修正草案 擬交社會福利及衛生環境委員會審查 宣討 密五十三 國民黨黨團領據《環境基本法》第二三條條文修正草案 擬交社會福利及衛生環境委員會審查 宣討 密五十四 國民黨黨團領據《兒童及少年福利與權益保障法》第二七條條文修正草案 擬交社會福利及衛生�
transcript.whisperx[108].start 9856.766
transcript.whisperx[108].end 9858.207
transcript.whisperx[108].text 五一通過下壓五一通過下壓五一通過下壓
transcript.whisperx[109].start 9875.359
transcript.whisperx[109].end 9893.036
transcript.whisperx[109].text 五十七委員邱振均等領據專科學校法第四十四條條文修正草案你教教育及文化委員會審查宣告片五十八委員邱振均等領據民法親屬偏施行法徵定第七條之一條文草案你教司法及法治委員會審查宣告片五十九
transcript.whisperx[110].start 9893.416
transcript.whisperx[110].end 9917.725
transcript.whisperx[110].text 委員邱振均等女巨就業保險法第十一條第十二條及第十九條之二條文修正常案 擬交社會福利及衛生環境委員會審查 宣動閉60 委員葛禄君等女巨偏隱地區學校教育發展條例部分條文修正常案 擬交教育及文化委員會審查 宣動閉61 委員李坤澄等女巨遺產及證與稅法部分條文修正常案 擬交財政委員會審查 宣動閉
transcript.whisperx[111].start 9919.185
transcript.whisperx[111].end 9935.732
transcript.whisperx[111].text 六十二委員 林二群等鄰居就業服務法部份條文修正草案 擬交社會福利及衛生環境委員會審查 宣告並六十三委員 王美惠等鄰居宗教團體以自然人民益登記不動產處理暫時條例第五條條文修正草案 擬交內政委員會審查 宣告並
transcript.whisperx[112].start 9937.452
transcript.whisperx[112].end 9959.727
transcript.whisperx[112].text 64.委員網美會等領據《就業服務法》部分條文修正草案擬交社會福利及衛生環境委員會審查宣傳幣65.委員網美會等領據《廢棄物清理法》部分條文修正草案擬交社會福利及衛生環境委員會審查宣傳幣66.委員網美會等領據《資源回收再利用法》修正草案擬交社會福利及衛生環境委員會審查宣傳幣
transcript.whisperx[113].start 9960.788
transcript.whisperx[113].end 9985.209
transcript.whisperx[113].text 六十七 委員郭國文等領據遺產及證與稅法部分條文修正草案 擬交財政委員會審查 宣傳幣六十八 委員郭國文等擬廢紙硬貨稅法 擬交財政委員會審查 宣傳幣六十九 委員郭國文等擬廢紙與娛樂稅法 擬交財政委員會審查 宣傳幣七十 臺灣民眾黨黨團領據學校衛生法第六條條文修正草案 擬交教育及文化委員會審查 宣傳幣
transcript.whisperx[114].start 9986.89
transcript.whisperx[114].end 10002.483
transcript.whisperx[114].text 七十一 臺灣民眾黨黨團 依據學校衛生法第十九條條文修正條案 擬交教育及文化委員會審查 宣托彬七十二 臺灣民眾黨黨團 依據公務人員考試法第五條 第六條及第二十八條條文修正條案 擬交司法及法治委員會審查 宣托彬
transcript.whisperx[115].start 10003.524
transcript.whisperx[115].end 10026.803
transcript.whisperx[115].text 七十三 台灣民眾黨黨團內已據《民法》第1195條條文修正草案 擬交司法及法治委員會審查 宣托並七十四 台灣民眾黨黨團內已據《勞資爭議處理法》第54條條文修正草案 擬交社會福利及衛生環境委員會審查 宣托並七十五 台灣民眾黨黨團內已據《物理人員法》第37條條文修正草案 擬交社會福利及衛生環境委員會審查 宣托並
transcript.whisperx[116].start 10028.86
transcript.whisperx[116].end 10047.198
transcript.whisperx[116].text 七十六 行政任涵罄審議就業服務法部分條文修正草案 擬交社會福利及衛生環境委員會審查案宣讀完畢七十七 行政任涵罄審議資源回送再利用法修正草案及非棄物清理法部分條文修正草案 擬交社會福利及衛生環境委員會審查案宣讀完畢七十八 本院議事處匯報
transcript.whisperx[117].start 10048.94
transcript.whisperx[117].end 10077.062
transcript.whisperx[117].text 各黨團推薦學者專家擔任國家金融安定基金管理委員會委員名單宣讀完畢本案准予被查報告委員會我們處理以依照黨團協商結論爭略報告事項第一案請宣讀一本院財政委員會含送中華民國一百十五年中央政府總預算案含附屬單位預算及重計表營業及非營業部分審查日程及審查分配表你將本案並一百十五年中央政府總預算案處理宣讀完畢
transcript.whisperx[118].start 10080.543
transcript.whisperx[118].end 10101.26
transcript.whisperx[118].text 本案照剛才通過黨團協商結論進行處理歡迎回本次會議報告事項記載議事錄順序授權議事處調整我們繼續處理原列報告事項請宣讀第二案二 委員徐宇甄等你廢止經濟部中央企業處組織條例你將司法及法制經濟兩岸委員會審查宣讀案B願意
transcript.whisperx[119].start 10103.562
transcript.whisperx[119].end 10105.883
transcript.whisperx[119].text 通過下案無議通過下案無議通過下案無議通過下案
transcript.whisperx[120].start 10130.135
transcript.whisperx[120].end 10137.658
transcript.whisperx[120].text 6.委員陳秀寶等你據總統、副總統選舉罷免法第11條及第23條條文修正草案,你將內政委員會審查,宣告閉7.委員陳秀寶等你據公職人員選舉罷免法第14條條文修正草案,你將內政委員會審查,宣告閉
transcript.whisperx[121].start 10146.621
transcript.whisperx[121].end 10168.04
transcript.whisperx[121].text 8.委員陳秀寶等你具《國家安全法》第2條第7條及第8條條文修正草案擬交內政委員會審查宣傳並9.委員陳秀寶等你具《大學法》部分條文修正草案擬交教育及文化委員會審查宣傳並10.委員陳秀寶等你具《國民體育法》第2條第3條及第39條條文修正草案擬交教育及文化委員會審查宣傳並
transcript.whisperx[122].start 10169.721
transcript.whisperx[122].end 10196.282
transcript.whisperx[122].text 11.委員陳秀寶等你據《老年農民福利津貼暫行條例》第二條及第四條條文修正草案你交社會福利及衛生環境經濟內政三委會審查宣達幣12.委員林思明等你據《居民司法徵定》第35條之一條文草案你交司法及法治委員會審查宣達幣13.委員林思明等你據《就業保險法》第19條之一條文修正草案你交社會福利及衛生環境委員會審查宣達幣
transcript.whisperx[123].start 10197.643
transcript.whisperx[123].end 10224.537
transcript.whisperx[123].text 十四 委員圖圈機等領據就業政府採購法第九十八條條文修正草案 拟交交通委員會審查宣傳幣十五 委員圖圈機等領據衛生福利部疾病管理署組織法第二條條文修正草案 拟交司法及法制社會福利及衛生環境兩委會審查宣傳幣十六 委員圖圈機等領據就業服務法第五十二條條文修正草案 拟交社會福利及衛生環境委員會審查宣傳幣
transcript.whisperx[124].start 10226.278
transcript.whisperx[124].end 10239.639
transcript.whisperx[124].text 十七 委員圖全基等領據 作業保險法第四十條 條文修正草案 禮教社會福利及衛生環境委員會審查 宣布立定十八 委員李坤澤等領據 政府採購法部分條文修正草案 禮教交通委員會審查 宣布立定
transcript.whisperx[125].start 10241.198
transcript.whisperx[125].end 10267.468
transcript.whisperx[125].text 十九 委員李坤澤等你具公文程式條例第十三條條文修正草案你交司法及法治委員會審查 宣突完畢二十 委員李坤澤等你具就業保險法部分條文修正草案你交社會福利及衛生環境委員會審查 宣突完畢二十一 委員賴慧媛等你具虛擬資產服務法草案你交財政委員會審查 宣突完畢二十二 委員賴世保等你具所得稅法第十七條條文修正草案你交財政委員會審查 宣突完畢
transcript.whisperx[126].start 10268.648
transcript.whisperx[126].end 10289.235
transcript.whisperx[126].text 23.委員賴思寶等你居海關進口稅責部分稅責修正草案,你交財政委員會審查,宣傳幣24.委員賴思寶等你廢止行政院原住民主委員會如外園區管理局組織條例,你交司法及法制內政兩委會審查,宣傳幣25.委員賴思寶等你廢止行政院大陸委員會組織條例,你交司法及法制內政兩委會審查,宣傳幣
transcript.whisperx[127].start 10292.137
transcript.whisperx[127].end 10298.394
transcript.whisperx[127].text 26.委員拉斯堡等你廢止行政任人職能委員會組織條例你交司法治教育兩委會審查宣傳並
transcript.whisperx[128].start 10301.049
transcript.whisperx[128].end 10325.081
transcript.whisperx[128].text 27.委員賴思寶擬廢止教育部體育署組織法 擬交司法及法治教育及文化兩委會審查 宣傳扁28.委員賴思寶擬拒兒童及少年福利與權益保障法第27條條文修正條案 擬交社會福利及衛生環境委員會審查 宣傳扁29.委員邱振均擬拒大學法第35條條文修正條案 擬交教育及文化委員會審查 宣傳扁
transcript.whisperx[129].start 10326.681
transcript.whisperx[129].end 10343.909
transcript.whisperx[129].text 30 行政院行情審議虛擬資產服務法草案 擬交財政委員會審查 宣讀完畢31 行政院行情審議114年度中央政府總預算第二預備金動之數額表案 擬交財政委員會會同有關委員會審查 宣讀完畢32 內政部修正建築技術規則建築設計施工編部分條文 擬交內政委員會宣讀完畢
transcript.whisperx[130].start 10351.752
transcript.whisperx[130].end 10361.799
transcript.whisperx[130].text 33.內政部修正消防安全設備檢修及申報辦法第8條第13條條文及第7條附表3第9條附表6第10條附表8你交內政委員會宣傳幣34.
transcript.whisperx[131].start 10361.799
transcript.whisperx[131].end 10371.085
transcript.whisperx[131].text 農業部修正公告比利時為非洲豬瘟非疫區你交經濟委員會宣傳幣35.
transcript.whisperx[132].start 10371.085
transcript.whisperx[132].end 10378.931
transcript.whisperx[132].text 農業部修正公告美國南卡羅萊納州至高病原性家庭流行性感冒非疫區刪除你交經濟委員會宣傳幣
transcript.whisperx[133].start 10381.172
transcript.whisperx[133].end 10404.558
transcript.whisperx[133].text 三十六 農業部修正公告美國奧羅拉岡州 田納西州 猶他州為高病原性家庭流行性感冒非疫區 擬交經濟委員會宣傳筆五一通過 效應三十七 農業部修正食農教育專業人員資格及培訓辦法第十一條條文 擬交經濟委員會宣傳筆五一通過 效應三十八 農業部修正國家食農教育傑出貢獻獎獎勵辦法部分條文 擬交經濟委員會宣傳筆五一通過 效應
transcript.whisperx[134].start 10408.604
transcript.whisperx[134].end 10434.103
transcript.whisperx[134].text 三十九 農業部行為申請進入自然保留區許可辦法名稱修正為申請進入入獄自然保留區許可辦法並修正第一條之一及第八條條文擬交經濟委員會宣傳幣四十 農業部修訂農業部農糧屬於歐盟植物品種保護具品種權檢定報告行政協定英文約本 銀本及中藝本擬交經濟外交及國防兩委會宣傳幣五十九 農業部修訂農業部農糧屬於歐盟植物品種保護具品種權檢定報告行政協定英文約本 銀本及中藝本擬交經濟外交及國防兩委
transcript.whisperx[135].start 10436.764
transcript.whisperx[135].end 10463.518
transcript.whisperx[135].text 41 財政部修正報關業設置管理辦法部分條文空運快遞貨物通關辦法第12條第17條第29條條文及海運快遞貨物通關辦法第12條第18條及第32條條文你交財政委員會宣傳並不予通過 下議案42 金融監督管理委員會交通部修正強制汽車責任保險及附標準第3條附表你交財政交通兩委會宣傳並不予通過 下議案
transcript.whisperx[136].start 10464.418
transcript.whisperx[136].end 10490.867
transcript.whisperx[136].text 四十三 教育部修正教育人員留職停薪辦法第四條 第五條及第八條條文 擬交教育及文化委員會宣傳並四十四 運動部函送運動部及所屬機關公務人員交代條例施行細則 擬交教育及文化委員會宣傳並四十五 衛生福利部函為本院制定青年基本法通過附帶決議減送物質濫用政策納入青年參與及強化性別與族群
transcript.whisperx[137].start 10497.052
transcript.whisperx[137].end 10514.987
transcript.whisperx[137].text 四十六 行政院函位本院制定人工智慧技能法通過附帶決議減少AI應用發展而少人權性別影響評估報告 交通兩委會宣傳四十七 行政院函位中華民國114年11月19日修正公佈之道路交通管理處罰條例第十九條條文
transcript.whisperx[138].start 10517.269
transcript.whisperx[138].end 10540.964
transcript.whisperx[138].text 115年1月14日修正公佈致該條例第31條之一第86條第90條條文定之115年3月31日施行 擬交交通委員會宣傳畢無異通報 下議案48 交通部含送導遊人員管理規則第27條第45條條文及第45條修正條文對照表刊物表 擬交交通委員會宣傳畢無異通報 下議案
transcript.whisperx[139].start 10541.684
transcript.whisperx[139].end 10556.616
transcript.whisperx[139].text 四 交通部內政部國防部修正航空站飛行場駐航設備四周禁止限制建築物及其他障礙物高度管理辦法第三條及第四條條文你交交通內政外交及國防三委會宣斷閉
transcript.whisperx[140].start 10558.786
transcript.whisperx[140].end 10584.814
transcript.whisperx[140].text 五十 環境部修正衛健公告為再生資源項目申請再生利用計劃書格式及內容附件你家社會福利及衛生環境委員會宣傳並五十一 環境部行政院環境保護署再生利用資再生資源項目及管理方式名稱修正為環境部再生利用資再生資源項目及管理方式並修正公告你家社會福利及衛生環境委員會宣傳並
transcript.whisperx[141].start 10596.575
transcript.whisperx[141].end 10612.526
transcript.whisperx[141].text 社會福利及衛生環境委員會審查 下一項五十二 環境部修正禁止注入地下水體之有害健康物質種類限制公告事項第一項附表你將社會福利及衛生環境委員會宣斷逼不議通過 下一項
transcript.whisperx[142].start 10613.482
transcript.whisperx[142].end 10640.661
transcript.whisperx[142].text 五十三 環境部函送本院修正空氣污染防治法通過附帶決議第二項之一百十五年專案報告擬招社會福利及衛生環境委員會處理宣讀完畢無異通過報院會第五十四案之一百六十二案依序宣讀其中第一百一十一一百一十五至一百一十七一百二十二一百二十五至一百三十一一百四十至一百四十二一百四十五一百四十六一百五十六一百五十八一百六十一案台灣民眾黨團體改交審查
transcript.whisperx[143].start 10643.403
transcript.whisperx[143].end 10665.695
transcript.whisperx[143].text 宣讀之後以上提案均改交相關委員會審查其餘的議案均照議事處意見通過請問會有無異議沒有異議宣讀宣讀之後通過請宣讀第54案至83案中央銀行84案至93案國家科學及技術委員會94案至110案教育部111案至120案國家通訊傳播委員會
transcript.whisperx[144].start 10666.695
transcript.whisperx[144].end 10692.524
transcript.whisperx[144].text 125案经济部126案行政院公共城委会127案内政部128案环境部129案原住民组委员会130案交通部131案农业部132案至136案内政部137案国防部138案至148案经济部149案至155案农业部156案行政院主级总组157案至160案财政部161案内政部162案运动部
transcript.whisperx[145].start 10692.964
transcript.whisperx[145].end 10719.636
transcript.whisperx[145].text 行為一百十四年度中央政府總預算附屬單位預算各年度相關預算中央政府因應國際情勢強化經濟社會及民生國安任性特別預算等預算權益分別檢討相關報告宣讀完畢法院會一百六十三至一百六十六案一併宣讀宣讀之後除第一百六十六案同意展延審查期限之外其餘的個案均準於被查請宣讀
transcript.whisperx[146].start 10720.765
transcript.whisperx[146].end 10746.681
transcript.whisperx[146].text 第163案及164案為本院教育及文化委員會韓衛院會教父教育部113年度中央政府總預算決議等案均與於年度預算執行期間165案及166案為本院交通社會福利及衛生環境委員會韓衛院會教父審查相關行政命令均與於立法院職權刑事法第61條鎖定審查期限宣讀完畢請宣讀第167案
transcript.whisperx[147].start 10748.547
transcript.whisperx[147].end 10771.149
transcript.whisperx[147].text 第一百六十七案為本院明台灣民眾黨黨團涵為該黨團參加立法院修憲委員會委員名單原由黃國昌黃珊珊委員擔任改由王安祥蔡春彤委員遞補之並由王安祥委員遞補召集委員宣讀完畢法院會第一百六十七案遞補召集委員名單照議事處意見通過其餘均準與被查請宣讀質詢四項
transcript.whisperx[148].start 10773.038
transcript.whisperx[148].end 10784.473
transcript.whisperx[148].text 諮詢事項 行政院答覆部分行政院還送本院中委員嘉賓所聽諮詢之書面答覆供一件本院委員諮詢部分本院邱委員佔均向行政院提出諮詢供一件宣讀完畢
transcript.whisperx[149].start 10786.498
transcript.whisperx[149].end 10802.879
transcript.whisperx[149].text 報告事項已經處理完畢現在要進行討論事項第一案本院國民黨團建請院會作成決議要求行政院院長率相關部會首長向立法院提出開放印度勞工來台對我國整體勞工政策
transcript.whisperx[150].start 10804.143
transcript.whisperx[150].end 10815.376
transcript.whisperx[150].text 與社會治安的衝擊及相關配套防治作為的專案報告並被質詢請公決案請議事委員宣讀提案內容
transcript.whisperx[151].start 10816.496
transcript.whisperx[151].end 10838.568
transcript.whisperx[151].text 本院國民黨黨團有見於勞動部部長洪森漢日前表示首批一千名印度移工有望今年引進先請國人對印度移工來台後治安與性平二化的擔憂與疑慮此議題早在2023年即引起大肆社會大眾和在野黨質疑民進黨政府卻操作成假消息中國的認知作戰輸料
transcript.whisperx[152].start 10839.588
transcript.whisperx[152].end 10863.559
transcript.whisperx[152].text 此假消息在缺乏社會溝通的情況下2024年民進黨政府卻與印度偷偷摸摸簽署了MOU合作備忘錄國人群起嘩然在公共政策網路參與平台上負面聲量遠高於正面聲量好感度只有0.28因擔心治安與性平二化不相信政府會嚴格把關以突破3.5萬人連署要求立即終止
transcript.whisperx[153].start 10863.999
transcript.whisperx[153].end 10882.268
transcript.whisperx[153].text 国人更认为台湾失联义工问题严重现有的9.3万逃逸义工全台流传不仅成为治安漏洞更曝露义工管理正面临实质崩盘造成严重治安危机且引发国人焦虑恐惧印度义工议题甚至在许多国家引发广泛讨论
transcript.whisperx[154].start 10882.848
transcript.whisperx[154].end 10901.966
transcript.whisperx[154].text 基此國民黨黨團具體提出三點主張一在現行制度未改善前反對印度移工來台二行政院應立即說明完整政策動機和產業需求三在高達9.3萬逃逸移工問題未有效解決之前不得任意擴大移工來原國原始
transcript.whisperx[155].start 10902.446
transcript.whisperx[155].end 10924.923
transcript.whisperx[155].text 建請委員會作成決議針對開放印度移工來台國人深感遊行要求行政院院長率相關部會首長向行政院提出開放印度移工來台對我國整體勞工政策與社會治安的衝擊及相關配套含強化國與國執聘制度及失聯移工強制遣返機制防制作為專案報告並被質詢是否有當請公決案
transcript.whisperx[156].start 10926.59
transcript.whisperx[156].end 10926.85
transcript.whisperx[156].text 宣讀完畢
transcript.whisperx[157].start 10952.822
transcript.whisperx[157].end 10964.27
transcript.whisperx[157].text 交付黨團協商並由國民黨團負責召集協商我們現在進入討論事項第二案法院組織法第106條條文修正草案請宣讀審查報告
transcript.whisperx[158].start 10965.475
transcript.whisperx[158].end 10983.005
transcript.whisperx[158].text 本院司法及法治委員會於114年11月20日、115年1月29日分別召開全體委員會審查散開法案由翁邵吉委員小林擔任主席出邀請提案委員說明提案要旨外司法院及相關機關應應要指派代表列席說明及答覆委員許問
transcript.whisperx[159].start 10984.506
transcript.whisperx[159].end 11011.214
transcript.whisperx[159].text 為其及時廣譯於114年6月11日舉行法院組織法有關司法公開透明修正立法之討論討公聽會與會委員聽取報告及巡大完畢審略大體討論進行主案審查並將全案審查完畢原金決議審查完畢領據審查報告提請院會公決本案不需交由黨團協商院會討論時由翁委員小林出席說明宣讀完畢我們現在請翁小林委員召集委員補充說明
transcript.whisperx[160].start 11012.625
transcript.whisperx[160].end 11021.36
transcript.whisperx[160].text 沒有補充說明報院會本案經議審查會決議不需再交由黨團協商請問院會有異議沒有異議本案經議審查會意見進行處理現在進行逐條討論法院組織法請宣讀第106條
transcript.whisperx[161].start 11030.114
transcript.whisperx[161].end 11050.254
transcript.whisperx[161].text 第106條評議時各法官之意見應記載於評議部並應於該案裁判確定前嚴守祕密案件之當事人輸送代理人辯護人被害人或成為輔助人得予裁判確定後申請閱覽評議意見但不得超入攝影或影印前項所稱被害人指犯罪被害人
transcript.whisperx[162].start 11051.315
transcript.whisperx[162].end 11069.222
transcript.whisperx[162].text 《權益保障法》第三條第二款之犯罪被害人犯罪被害人死亡者其同條第三款之家屬視為本條所稱被害人經處死刑之平易不應容就保存宣讀案例照審查會條文通過全案經過二讀現在有國民黨團 臺灣民眾黨團分別提議繼續進行三讀請問院會有無異議面議我們請宣讀經過二讀這條文
transcript.whisperx[163].start 11077.028
transcript.whisperx[163].end 11106.066
transcript.whisperx[163].text 第106條評議時各法官之意見應記載於評議部並應於該案裁判確定前嚴守祕密案件之當事人輸送代理人辯護被害人或成為輔助人得於裁判確定後申請閱覽評議意見但不得抄錄攝影或影印前項所稱被害人指犯罪被害人權益保障法第3條第2款之犯罪被害人死亡者其同條第3款之家屬視為本條所稱被害人經處死刑之評議部應永久保存宣傳必
transcript.whisperx[164].start 11107.381
transcript.whisperx[164].end 11129.495
transcript.whisperx[164].text 歡迎回三讀條文已經宣讀完畢全院會有文字修正沒有文字修正我們現在做決議法院組織法第106條條文修正通過我們現在進入討論事項第三案刑事訴訟法第101條之條文修正草案請宣讀審查報告
transcript.whisperx[165].start 11131.874
transcript.whisperx[165].end 11153.342
transcript.whisperx[165].text 本院司法及法治委員會於114年4月24日、115年1月12日、1月29日分別召開全體委員會議並按審查散開法案由吳召集委員鐘憲及翁召集委員小林分別擔任主席除邀請提案委員及黨團說明提案要旨外司法院及相關機關一應要指派代表列席說明及答覆委員詢問
transcript.whisperx[166].start 11154.962
transcript.whisperx[166].end 11173.878
transcript.whisperx[166].text 與會委員聽取報告並詢答完畢後審略大體討論進行主案審查並將全案審查完畢原經決議審查完畢領據審查報告提請院務公決本案不需交由黨團協商院會討論時由翁召集委員小林出席說明宣讀完畢我們現在請召集委員翁小林委員補充說明
transcript.whisperx[167].start 11174.719
transcript.whisperx[167].end 11186.384
transcript.whisperx[167].text 沒有補充說明本案經審查會決議不需再交由黨團協商請問院會有無異議沒有異議本案經以審查會意見進行處理現在進行主條討論刑事訴訟法請宣讀第101條之一
transcript.whisperx[168].start 11188.683
transcript.whisperx[168].end 11217.849
transcript.whisperx[168].text 第101條之一被告經被法官詢問後認為犯下列個管之罪其嫌疑重大有事實足認為有反覆實行同一犯罪之餘而有羈押之必要者得羈押之一刑法第173條第一項第三項第174條第一項第二項第四項第175條第一項第二項之犯火罪第176條之准犯火罪第185條之一之劫持交通工具罪第185條之三不能安全駕駛罪
transcript.whisperx[169].start 11218.969
transcript.whisperx[169].end 11227.631
transcript.whisperx[169].text 2.刑法第221條之強制性交罪第222條之加重強制性交罪第224條之強制猥褻罪第224條之一之加重強制猥褻罪第225條之趁機性交猥褻罪第226條之一之強制性交猥褻之結合罪第227條之與幼年男女性交或猥褻罪第271條第一項第二項之殺人罪
transcript.whisperx[170].start 11243.755
transcript.whisperx[170].end 11261.617
transcript.whisperx[170].text 第272條之殺子細血尊卿罪第272條之一之殺幼童罪第277條之第一項之傷害罪第278條第一項之重傷罪第286條之理虐或妨礙未成年人健康教育
transcript.whisperx[171].start 11262.398
transcript.whisperx[171].end 11280.323
transcript.whisperx[171].text 健康發育罪第319條之一之妨礙性影響罪第319條之二之加重妨礙性影響罪第319條之三是工人關懶性影響罪第319條之四是製作不實性影響罪兒童及少年性剝削防治條例第36條第1項至第5項第38條第1項第3項第4項之罪性騷擾防治法第25條第1項之罪
transcript.whisperx[172].start 11287.225
transcript.whisperx[172].end 11301.875
transcript.whisperx[172].text 但其需告訴乃論而未經告訴或其告訴已經撤回或已於告訴其間者不在此限三刑法第296條之一之買賣人口罪第299條之移送被略誘的人出國罪第302條
transcript.whisperx[173].start 11303.536
transcript.whisperx[173].end 11316.7
transcript.whisperx[173].text 第302條治癒之妨害自由罪4刑法第304條之強制罪第305條之恐嚇危害安全罪5刑法第320條第321條之竊盜罪6刑法325條326條之搶奪罪第328條第1項第2項第4項之強盜罪第330條之加重搶奪罪第332條之強盜結合罪第330
transcript.whisperx[174].start 11330.825
transcript.whisperx[174].end 11347.126
transcript.whisperx[174].text 三條之海盜罪第三百三十四條之海盜結合罪七刑法第三百三十九條第三百三十九條之三之詐欺罪第三百三十九條之四之家中詐欺罪詐欺犯罪違害防治條例第四三條第四條之罪
transcript.whisperx[175].start 11348.106
transcript.whisperx[175].end 11375.064
transcript.whisperx[175].text 8刑法第346條之恐嚇取材罪第347條第1項第3項之擄人勒索罪第348條之擄人勒索切合罪第348條之一之准擄人勒索罪9槍砲彈藥刀械管制條例第7條第8條第9條之一第12條第13條第13條之一之罪10毒品危害防治條例第4條第1項之第4項之罪11人口販運防治法第32條之罪12
transcript.whisperx[176].start 11377.465
transcript.whisperx[176].end 11391.533
transcript.whisperx[176].text 組織犯罪防治條例第三條第一項前段之罪前條第二項至第四項之規定於前項情形準用之宣傳畢報言會我們現在已經經過二讀現在國民黨團民進黨團台灣民眾黨團三個黨團分別提議繼續進行三讀請問院會有異議沒有異議我們宣讀經過二讀這條文
transcript.whisperx[177].start 11403.001
transcript.whisperx[177].end 11420.056
transcript.whisperx[177].text 第101條之一被告經被法官詢問後認為犯下第二個款之罪其嫌疑重大有事實足認為有反覆實行同一犯罪之餘而有羈押之必要者得羈押之一刑法第173條第一項第三項第174條第一項第二項第四項第175條第一項第二項之犯活罪第176條之准犯活罪
transcript.whisperx[178].start 11424.119
transcript.whisperx[178].end 11436.844
transcript.whisperx[178].text 第185條之一是劫持交通工具罪第185條之三不能安全駕駛罪二刑法第221條之強制性交罪第222條之家中強制性交罪第224條之強制猥褻罪第224條之一之家中強制猥褻罪第225條之趁機性交猥褻罪第226條之一之強制性交猥褻之結合罪第227條之與幼年男女性交或猥褻罪第271條第一項第二項之
transcript.whisperx[179].start 11451.23
transcript.whisperx[179].end 11477.796
transcript.whisperx[179].text 殺人罪 第二百七十二條之殺子細血青 尊親屬罪第二百七十二條之一一之殺幼童罪第二百七十七條之一一項之傷害罪第二百七十八條之第一項之重傷罪第二百八十六條之凌虐或妨礙未成年人健康發育罪第三百十九條之一一之妨礙性影像罪第三百十九條之二之加重妨礙性影像罪第三百十九條之三之工人關攬性影像罪第三百十九條之四之製作不實性
transcript.whisperx[180].start 11478.516
transcript.whisperx[180].end 11497.074
transcript.whisperx[180].text 影像罪兒童及少年性剝削防治條例第36條第1項至第5項第38條第1項第3項第4項之罪性騷擾防治法第25條第1項之罪但其需告訴哪六額未經告訴或其告訴已經撤回或已於告訴其間者不在此限三刑法第296條之一之買賣人口罪第299條之一送被遛人出國罪第302條
transcript.whisperx[181].start 11501.158
transcript.whisperx[181].end 11508.563
transcript.whisperx[181].text 第302條之一之妨礙自由罪4刑法第304條之搶制罪第305條之恐嚇危害安全罪5刑法第320條第321條之一之竊盜罪6刑法第325條326條之搶奪罪第328條第1項第2項第4項之強盜罪第330條之加重強盜罪第332條之強盜結合罪第333條之海盜罪第334條之海盜結合罪
transcript.whisperx[182].start 11529.575
transcript.whisperx[182].end 11540.867
transcript.whisperx[182].text 7.刑法第339條第339條之三之詐欺罪第339條之四之加重大欺罪詐欺犯罪危害防治條例第43條第44條之罪8.
transcript.whisperx[183].start 11540.867
transcript.whisperx[183].end 11548.214
transcript.whisperx[183].text 刑法第346條之恐嚇取材罪第347條第一項第三項之擄人勒贖罪第348條之擄人勒贖結合罪第348條之一之准擄人勒贖罪9.
transcript.whisperx[184].start 11553.519
transcript.whisperx[184].end 11581.493
transcript.whisperx[184].text 槍砲彈藥刀械管制條例第七條第八條第九條之一第十二條第十三條第十三條之一之罪十 毒品危害防治條例第四條第一項至第四項之罪十一 人口販運防治法第三十二條之罪十二 組織犯罪防治條例第三條第一項前段之罪前條第二項至第四項之規定於前項情形準用之宣讀完畢報導院會三讀條文已經宣讀完畢請問院會有無文質修正
transcript.whisperx[185].start 11582.472
transcript.whisperx[185].end 11604.532
transcript.whisperx[185].text 沒有文字修正我們現在作以下決議刑事訴訟法第101條之一條文修正通過我們現在進入討論事項第四案教師法第25條及第53條條文修正草案請宣讀審查報告
transcript.whisperx[186].start 11608.134
transcript.whisperx[186].end 11626.995
transcript.whisperx[186].text 本院教育及文化委員會於115 年 4 月 1 日召開全體委員會議並按審查本案會議中邀請教育部部長鄭英耀及相關人員列席說明並備諮詢另一邀請提案委員說明提案要旨會議由五召集委員立法擔任主席與會委員於聽取說明及詢答後進行逐條討論完成本案審查
transcript.whisperx[187].start 11630.098
transcript.whisperx[187].end 11635.94
transcript.whisperx[187].text 我們現在請召集委員吳立華委員補充說明沒有補充說明那我們現在本案經審查會決議不需要再交由黨團協商請問院會有異議沒有異議本案經審查會意見進行處理現在進行逐條討論教師法請宣讀第25條
transcript.whisperx[188].start 11655.592
transcript.whisperx[188].end 11683.46
transcript.whisperx[188].text 第25條依第18條第1項或第21條第2款第3款停聘之教師停聘期間不發給待遇依第21條第1款第22條第1項第23條第6項停聘之教師於停聘期間不發給待遇停聘室由消滅後未受解聘或中取停聘處分並回復聘任者補發其停聘期間全數本行年工薪及學術研究加給依第22條第2項停聘之教師於停聘期間發給半數
transcript.whisperx[189].start 11685.12
transcript.whisperx[189].end 11707.794
transcript.whisperx[189].text 本新年功新級學術研究家級調查後未受解聘或終極停聘處分並回覆聘任者補發期停聘期間未發之本新年功新級學術研究家級宣讀完畢照審查會條文通過請宣讀第五三條第五三案本法施行日期由行政院定之本法修正條文至公佈日施行宣讀完畢照審查會條文通過
transcript.whisperx[190].start 11708.536
transcript.whisperx[190].end 11709.958
transcript.whisperx[190].text 全案經過二讀現在三個黨團共同提議繼續進行三讀請問院會有異議沒有異議我們宣讀經過二讀這條文
transcript.whisperx[191].start 11719.861
transcript.whisperx[191].end 11743.667
transcript.whisperx[191].text 第25條1第18條第1項或第21條第2款第3款停聘支教師停聘期間不發給待遇1第21條第1款第22條第1項第23條第6項停聘支教師於停聘期間不發給待遇停聘室由消滅後未受解聘或終極停聘處分並回復聘任者補發期停聘期間純屬本行年功薪及學術研究佳績1第22條第2項停聘支教師於停聘期間發給半數
transcript.whisperx[192].start 11744.767
transcript.whisperx[192].end 11760.95
transcript.whisperx[192].text 本薪 年功薪及學術研究佳績調查後會受解聘或中期停聘處分並回覆聘任者補發期停聘期間會發之本薪 年功薪及學術研究佳績第五十三條本法實行日期由行政院定之本法修正條文至公佈日實行宣傳必
transcript.whisperx[193].start 11763.12
transcript.whisperx[193].end 11785.737
transcript.whisperx[193].text 抱怨會三讀條文已經宣讀完畢請問院會有沒有文字修正沒有文字修正我們現在做以下決議教師法第25條及第53條條文修正通過抱怨會現在依照黨團共識要進行三讀之後的發言
transcript.whisperx[194].start 11796.621
transcript.whisperx[194].end 11801.806
transcript.whisperx[194].text 沒關係首先我們要請陳昭智委員發言吳立華委員請準備
transcript.whisperx[195].start 11813.186
transcript.whisperx[195].end 11832.811
transcript.whisperx[195].text 主席各位同仁全體國人三讀通過台灣民眾黨黨團所提出的刑事訴訟法第101條修正案本黨團表達最誠摯的感謝這項修法象徵國家在守護人民的安全道路上向前邁出關鍵的一步本次修法將重大且具高度
transcript.whisperx[196].start 11833.351
transcript.whisperx[196].end 11856.298
transcript.whisperx[196].text 危險性的犯罪納入預防性羈押透過制度的強化使高風險犯罪在符合法定的要件下得以羈押避免再度危害社會這項修法回應了社會最真實的聲音人民期待的不是只有事後的懲罰而是事前的防範不只是法律宣示而是實質的保障生命的安全法律的目的不再是制裁犯罪而是守護
transcript.whisperx[197].start 11857.478
transcript.whisperx[197].end 11873.308
transcript.whisperx[197].text 善良人民今天三讀通過代表國家向詐欺集團性剝削犯罪黑幫組織酒駕累犯以及殘害幼童的暴力犯罪者宣誓最明確的態度危害社會者必須受到法律最嚴格的約束
transcript.whisperx[198].start 11874.108
transcript.whisperx[198].end 11901.478
transcript.whisperx[198].text 另外今天也通過了教師法第25條計53條的修正案非常遺憾的台灣民眾黨本來的提案除了學術研究加擠之外我們其實也主張針對在偏遠地區教學的任教老師的地域加擠要給予補發雖然我們一再的堅持可惜我也能一併納入為此感到遺憾最後我談談的是台灣民眾黨將對於
transcript.whisperx[199].start 11902.958
transcript.whisperx[199].end 11910.046
transcript.whisperx[199].text 持續推動司法的改革會進行更安全更公平更值得信賴的一個社會謝謝大家
transcript.whisperx[200].start 11936.38
transcript.whisperx[200].end 11951.582
transcript.whisperx[200].text 主席各位立院同仁大家好我在這邊也要特別跟所有敬愛的老師們說一聲您辛苦了之所以修教師法第25條是為了要解決第一線教師在校事會議制度下所面臨的集體焦慮
transcript.whisperx[201].start 11952.463
transcript.whisperx[201].end 11972.89
transcript.whisperx[201].text 因為自校士會議機制啟動以來 校園內爛訴的現象日益惡化造成許多認真的老師終日提心吊膽 深怕遭受誤解或惡意的檢舉並且陷入動輒停聘接受調查的噩夢嚴重耗損基層學校的行政能量以及基層教師的尊嚴
transcript.whisperx[202].start 11973.83
transcript.whisperx[202].end 11992.703
transcript.whisperx[202].text 為了回應基層的聲音我在上會期就啟動會議提出質詢要求教育部要修訂高級中等以下學校教師解聘不續聘停聘或資遣辦法很感謝教育部已於1月修正發布改革了備受詬病的校式會議雖然如此
transcript.whisperx[203].start 11993.644
transcript.whisperx[203].end 12008.804
transcript.whisperx[203].text 在教師法第25條的規定下教師在接受調查的期間不僅蒙受身心煎熬而且還要停聘並且停聘期間僅發給本薪的一半且復職後通常只補發本薪的部分
transcript.whisperx[204].start 12009.244
transcript.whisperx[204].end 12029.113
transcript.whisperx[204].text 若事實澄清後復職仍需面臨薪資被減損的經濟懲罰這絕對不符合公平正義在這個會期有幸能夠擔任教育文化委員的召委本席立刻在4月1號排審教師法第25條修正很感謝教育文化委員會所有委員的支持讓教師法第25條及第53條能在當天審查後
transcript.whisperx[205].start 12032.894
transcript.whisperx[205].end 12058.691
transcript.whisperx[205].text 順利的一次送出委員會同意不經協商就交付院會審查未來教師停聘原因消滅並復職後應補發停聘期間全數的本薪及學術研究家級除了教師法第25條我們也會同步修正教師待遇條例的修正感謝朝野立委共同支持本次修正案給所有第一線的教師最實際的支持謝謝大家好 謝謝吳麗華委員的發言
transcript.whisperx[206].start 12059.264
transcript.whisperx[206].end 12064.146
transcript.whisperx[206].text 接下來黨團共推派委員最後一位我們請謝龍介委員請發言一把空一條是法治修正宅庭鄉蓋屋
transcript.whisperx[207].start 12090.08
transcript.whisperx[207].end 12095.563
transcript.whisperx[207].text 完畢啊 可以完畢我們的民主法庭由於網絡的發展 早期連天以及安全架設 輕量獨併以及由酒水來架設之後這個車輛 系統 行為三年的興起最可惡者
transcript.whisperx[208].start 12119.634
transcript.whisperx[208].end 12145.939
transcript.whisperx[208].text 心情害你當年輕甚至殺害你當處定凶惡畸形如同喝醉一天不睡到夜所以全國人民期待著你歡迎對著發熱的心情領個挺胸解藥這位
transcript.whisperx[209].start 12149.366
transcript.whisperx[209].end 12176.895
transcript.whisperx[209].text 一把空一條一日 連續採取統一一發展採取有方向的基礎符合著人民對著公平正義的期待符合著人民對著理動年輕的保護符合著人民對著挺風挺胸改善的期待尤其
transcript.whisperx[210].start 12177.938
transcript.whisperx[210].end 12199.956
transcript.whisperx[210].text 酒水加速 毒品加速 炸氣環境 就可以以方式採取技藥減少犯罪 這是本域硬性的任務 也是專民所有的期待正義有可能的地道 但是永遠會來搞
transcript.whisperx[211].start 12203.915
transcript.whisperx[211].end 12211.959
transcript.whisperx[211].text 謝謝謝榮介委員的發言 謝謝歡迎回我們討論事項已經處理完畢上午的會議進行到此為止下午兩點三十分繼續開會進行經濟組織質詢現在休息
transcript.whisperx[212].start 21450.831
transcript.whisperx[212].end 21459.338
transcript.whisperx[212].text 好 卓院長各位列席閣議員午安我們現在繼續開會對行政院長施政方針及施政報告繼續質詢今天進行經濟組織質詢首先請吳宗憲委員質詢黃建豪委員請準備
transcript.whisperx[213].start 21483.101
transcript.whisperx[213].end 21488.086
transcript.whisperx[213].text 謝謝院長那我們麻煩行政院長還有經濟部長及國發會主委麻煩請行政院長經濟部長以及國發會主委備詢
transcript.whisperx[214].start 21507.148
transcript.whisperx[214].end 21523.128
transcript.whisperx[214].text 吳委員好 三位委員辛苦了我今天首先要謝謝行政院還有漁業署還有航港局的協助在今年3月核定南方澳漁船漁港的上架場的土地撥用
transcript.whisperx[215].start 21523.849
transcript.whisperx[215].end 21545.286
transcript.whisperx[215].text 那讓我這幾年一直爭取的宜蘭漁業發展往前跨進一步這要先跟院長說聲謝謝當然田地撥用這是第一關後面還有工程經費和建築進度這個才是考驗中央到底有沒有把南方澳的漁民的需求放在心上這才是重點那南方澳是宜蘭的漁業重鎮那我是希望這個
transcript.whisperx[216].start 21546.067
transcript.whisperx[216].end 21573.125
transcript.whisperx[216].text 基礎的設施如果拖太久這會影響到漁民的生計上架場我們一般人可能覺得沒什麼重要但是對於漁民來說非常的重要因為漁船必須定期檢查而且必須維修這都需要上架場但現在那個地方的量能嚴重的不足那這是當地的漁民非常有意見的一件事那也麻煩能夠繼續支持我們把這個事情做好這部分先謝謝院長那再來我們今天的主題我想
transcript.whisperx[217].start 21573.735
transcript.whisperx[217].end 21600.527
transcript.whisperx[217].text 談到均衡台灣我要談到一個主題是院長您去年五月的時候在行政院官網還有那個臉書你有提到一個均衡台灣這個概念那國發會也有公開說明北北基於要打造首都圈黃金狼帶我想這個也是我們的賴清德總統的一個重大的政策那均衡台灣我請教院長他的一個目的之一就是要促進地方就業帶動地方發展還有青年返鄉是或不是
transcript.whisperx[218].start 21601.658
transcript.whisperx[218].end 21619.829
transcript.whisperx[218].text 是 申就業提薪資凡地方是我們當初提出的三項重要的未來檢驗的指標那為了落實這個均衡台灣我想國發會在去年九月又通過一個南科沙崙生態科學園區那還有那個之前新聞稿也都有提到這些
transcript.whisperx[219].start 21620.969
transcript.whisperx[219].end 21642.414
transcript.whisperx[219].text 預估這個年產值會有兩兆多而且提供三萬五千個就業機會再加上院長您三月底有宣布的那個南科產值可以破四兆我想這些院警都非常棒我也非常的支持啦這總是為我們台灣好但是我還是要替宜蘭鄉親問一句話大南方有新矽谷有3.5萬個就業機會那我們宜蘭呢我們宜蘭有什麼
transcript.whisperx[220].start 21643.834
transcript.whisperx[220].end 21671.828
transcript.whisperx[220].text 同樣是科學園區我先跟三位報告一下在2026年3月的統計宜蘭科的土地出租率是98.21銅鑼園區71%然後宜蘭70公頃的總面積出租率卻只有40.96所以這個連一半都不到這是一個現實存在的問題所以院長你們的均衡台灣似乎忘了宜蘭也需要被大家看見被大家照顧被大家所記得
transcript.whisperx[221].start 21672.688
transcript.whisperx[221].end 21691.049
transcript.whisperx[221].text 所以國發會有對於南科的沙崙園區這個我們南部赤枝1227億有喊出年產值兩兆多啦有三萬五千多了那宜科已經核定20多年了目前這個產值目標就業目標或招商KPI請問一下院長有沒有什麼想法
transcript.whisperx[222].start 21691.738
transcript.whisperx[222].end 21720.797
transcript.whisperx[222].text 我首先跟委員報告均衡台灣不是複製不是把任何所有東西複製成一樣比如我們在中部就是精密智慧新核心參著當地多年來的發展宜蘭是一個非常特別的我常常在宜蘭跟鄉親們說宜蘭未來它不僅是首都區黃金狼帶北北基宜它甚至要跟花東的慢活城鄉連在一起它可以假香港最它不僅科技發展
transcript.whisperx[223].start 21722.318
transcript.whisperx[223].end 21747.466
transcript.whisperx[223].text 觀光、產業、文化、農業它都要發展在裡面而且宜蘭的科學園區已經納入這個新竹科學園區同樣在範圍當中來管理院長你說這個我都認同啦我都認同但是我要提的一個就是說那到底現在宜蘭這個地方科學園區它到底它的規劃是什麼它的定位是什麼它的產業戰略是什麼
transcript.whisperx[224].start 21748.406
transcript.whisperx[224].end 21766.492
transcript.whisperx[224].text 這個我們完全看不到啊那還有一個有一個好 那我先繼續提一個好了啦宜科新建第三期標準廠房中長期個案計畫有一個總經費24.44億預計118年底可以完工這個事情我不知道三位知不知道
transcript.whisperx[225].start 21768.616
transcript.whisperx[225].end 21786.026
transcript.whisperx[225].text 這整個六大產業生活區由國發會來提出所以整個內容計畫國發會裡面有相當完整的一個說明但我們是逐步推動像桃竹苗大溪谷是第一個核定的那現在六個都核定了我們就逐步的推動院長您談遠了我們就講一個最簡單
transcript.whisperx[226].start 21787.887
transcript.whisperx[226].end 21809.24
transcript.whisperx[226].text 我跟您報告一下就是說我們對於那個宜蘭的規劃基本上有兩個方向一個是生技科學園區也就是說我們要去發展所謂的智慧醫療那另外一個就是往觀光的這個部分發展就好像剛剛院長講的宜蘭會是吃雙頭水一個是會接我們的那個首都黃金兩代那另外一個是接那個花東的慢火
transcript.whisperx[227].start 21809.68
transcript.whisperx[227].end 21833.96
transcript.whisperx[227].text 那所以我們其實對宜蘭的建設其實最重要的一點就是說我們要去開發宜蘭的那一個交通建設所以對於那個整個高鐵延伸到宜蘭的話我們國發會其實是蠻支持這樣的一個的你們還是談遠了我講一個簡單的就是說我一直希望知道我們宜科到底就業目標招商KPI產業價值目標等等產業的戰略是什麼
transcript.whisperx[228].start 21835.281
transcript.whisperx[228].end 21849.61
transcript.whisperx[228].text 剛剛確實那個院長有提到一些啦那我剛有提到一個這第三期新建計畫這個部分啊我再看一下前面我剛講的他的土地原本的部分原始舊有的部分土地出租率只有40.9多那
transcript.whisperx[229].start 21850.63
transcript.whisperx[229].end 21877.783
transcript.whisperx[229].text 建物的部分出租也只有七成出頭也就將近三成的建物現在也沒有人成租土地還有六成沒有人租用但是我們現在要搞一個第三期的興建計畫當然我沒有反對第三期興建計畫我沒有反對但是呢你們有沒有把目標放在來現有的硬體已經處理好了但是他招商效果並不好啊那大家有沒有注意到這個問題啊因為我擔心我們到時候蓋出來變蚊子管
transcript.whisperx[230].start 21878.904
transcript.whisperx[230].end 21897.624
transcript.whisperx[230].text 還是回答你的問題就是說整個產業要發展的話地方的交通還是一個非常重要的因素所以我們一直在推所謂的那一個高鐵要延伸到宜蘭這個部分所以我們也希望就是說這一個計畫能夠順利的完成然後再帶動所謂的宜蘭三科的發展
transcript.whisperx[231].start 21898.34
transcript.whisperx[231].end 21912.688
transcript.whisperx[231].text 你說的這個交通這個我們一直在推動不只高鐵還有台62線等等很多議題我們這段時間都一直在拜託能夠趕快處理但是我的問題還是在這邊因為我現在看到的是只有建築計畫我們要第三
transcript.whisperx[232].start 21913.688
transcript.whisperx[232].end 21930.318
transcript.whisperx[232].text 第三期然後我們要蓋多少房子我們要花24.44億去蓋硬體但是我們舊有的廠房他的幾級舊有的土地的出租率還是偏低我剛剛所以我剛拿銅鑼拿其他地方科學園區來比別人都到90幾了我們這邊只有
transcript.whisperx[233].start 21932.439
transcript.whisperx[233].end 21948.788
transcript.whisperx[233].text 土地只有4成然後建物只有7成那這個部分我並沒有看到一個比較有效果的一個招商當然你可以講說這個是竹科管理局國科會在管的這個不是我管的但是我要跟各位報告不管怎麼樣今天在場的院長或者是部長
transcript.whisperx[234].start 21950.069
transcript.whisperx[234].end 21978.378
transcript.whisperx[234].text 招商跟經濟的策略一定也是你們所狹下但是我並沒有看到這個部分所以我想請教一個問題既然你們有這個第三期的這個廠房的這個個案的計畫那我想請問一下那你們有沒有思考到將來要引進什麼產業要創造什麼就業要達到什麼樣的程度三年內出租率要達到多少有沒有哪個部會可以跨部會的管考這幾個東西可不可以給我們一個數據
transcript.whisperx[235].start 21979.978
transcript.whisperx[235].end 22003.776
transcript.whisperx[235].text 在這裡跟委員報告就像我剛剛跟委員報告就是說我們希望宜蘭是發展所謂的生技智慧醫療還有一個就是觀光這個部分所以我們其實有規劃很多譬如說在宜蘭那一邊我們會開始推動所謂的划船這個部分的一些運動就好像早上那個林倩琦委員也在也在一直推動就是說要推動所謂的那個水上一些活動
transcript.whisperx[236].start 22007.859
transcript.whisperx[236].end 22032.564
transcript.whisperx[236].text 科學園區我不是在談觀光不是在談什麼我想那個當然也是很重要但是我還是聚焦在科學園區那我想請問一下你們國發會認為的北北基宜黃金狼帶215公頃11.4萬個就業機會那這個餅這麼大那請問一下宜蘭可以切多少大概多少是屬於宜蘭這一塊北北基宜嘛四個那宜蘭大概是佔多少
transcript.whisperx[237].start 22033.084
transcript.whisperx[237].end 22048.056
transcript.whisperx[237].text 因為我們是在整體規劃我們沒有辦法就是說分一個很特定的數目字給宜蘭那我們希望每一個地方都能夠蓬勃高漲你這個答案給我就是一樣我的質疑也是沒有錯就是我並沒有聽到一個
transcript.whisperx[238].start 22048.996
transcript.whisperx[238].end 22056.684
transcript.whisperx[238].text 有可以for宜蘭該怎麼做你有整體效益但是沒有宜蘭的效益你有總就業但是我還是沒有看到宜科的就業
transcript.whisperx[239].start 22070.299
transcript.whisperx[239].end 22084.089
transcript.whisperx[239].text 那有種規模但是我還是需要地方的KPI我必須對宜蘭的鄉親我能夠論述給他聽我要幫政府辯護我也要講出一個東西給他聽可是目前我只看到您說的整體效應215公頃11.4萬個就業機會但是
transcript.whisperx[240].start 22088.892
transcript.whisperx[240].end 22107.554
transcript.whisperx[240].text 在地人只問我一個那一顆可以分多少我講不出來我只能跟他們講一個最大規模但是個別小部分特定部分我講不出來所以我只能講我只看到一個大餅但是這個餅要怎麼切我只有看到口號也沒有KPI這是我現在頭痛的部分
transcript.whisperx[241].start 22108.135
transcript.whisperx[241].end 22134.41
transcript.whisperx[241].text 所以這個計畫北北基宜雖然把宜蘭包進來但是在執行上面我還是看不懂宜蘭可以怎麼做我可不可以給委員一個建議最近一兩個禮拜以來我碰到幾位我們立法會的委員包括何信淳委員陳書悅委員他們在跟我們談地方建設他們都有對地方很獨特深入的產業看法他們提出之後中央會跟他對接
transcript.whisperx[242].start 22135.19
transcript.whisperx[242].end 22161.147
transcript.whisperx[242].text 他們不會說他說不出來他不知道他都有清楚的輪廓把中央的產業六大區域產業事務區加入他自己對地方的產業需求這樣才能夠形成那不曉得委員能不能提出您對宜蘭有什麼想法那我想就是說因為我剛剛還是沒有聽到比較精確的數字跟未來的一個想法所以這部分我還是必須要提醒
transcript.whisperx[243].start 22163.348
transcript.whisperx[243].end 22183.296
transcript.whisperx[243].text 畢竟我們現在經濟部手上還是有很多的武器嘛 譬如說我們有租稅的工具啦我們有投資服務產創條例中小企業數位轉型資源等等的甚至我們還有提到一個五大信賴的那個產業的政策等等我們有這些東西嘛所以我想請教一下三位有沒有把
transcript.whisperx[244].start 22185.277
transcript.whisperx[244].end 22209.837
transcript.whisperx[244].text 這個宜科列入首都黃金狼帶裡面這有關這個人工智慧資安 次世代通訊這些招商的節點你們有做過去媒合這些廠商了嗎有沒有開始做這些了我們這個數位轉型補助啊那個是所有的中小企業有需要我們都會協助那我們也有這個分區的輔導團在做服務那我跟您補充一下因為剛剛國發會提到的就是
transcript.whisperx[245].start 22212.31
transcript.whisperx[245].end 22233.703
transcript.whisperx[245].text 將來儀科的部分可能生醫或生技是很重要的重點那過去來講生醫生技主要是在南港還有竹北但是那邊都已經滿了所以他將來在儀科有很大的發展空間為什麼要有標準廠房因為就這些生醫科技的人他不需要很大的評測也不需要自己
transcript.whisperx[246].start 22238.645
transcript.whisperx[246].end 22248.609
transcript.whisperx[246].text 所以我剛剛一直說我不反對第三期我沒有反對我只是說前面就有的招商的部分並沒有那麼漂亮的數據
transcript.whisperx[247].start 22249.589
transcript.whisperx[247].end 22276.839
transcript.whisperx[247].text 我當時提這個我也沒有反對你們第三期的部分因為當然我知道有一些重要重大的一些產業他本來就有一些特定廠房的需求這塊我沒有意見但是請注意一下舊的廠房部分招商還是盡量協助管理局他們能夠把它做好我的目的只是這樣我並不是來指責誰怎麼樣好那我再請教一下就對於這個宜科第三期有沒有曾經開過那個跨部會的會議去談那個目標產業跟目標廠商有沒有曾經談過
transcript.whisperx[248].start 22278.469
transcript.whisperx[248].end 22304.835
transcript.whisperx[248].text 我沒有參加但是我相信國科會應該會有跨部會如果有的話資料給我們一份有的話就是剛剛這兩個問題有的話資料給我一份那請問一下有沒有設定就是三年內這個宜科大概可以增加多少的就業機會能夠導入多少廠商能夠把出租率能夠拉高到多少有沒有這個想法我相信一定有我會後一併請國科會再問那就會後一併提供給我剛剛這三個問題
transcript.whisperx[249].start 22307.135
transcript.whisperx[249].end 22325.545
transcript.whisperx[249].text 因為畢竟這個出租率真的還是稍微低了一些啦相較於其他的科學園區那我再請教一下因為你們現在有推一個數位轉型補助就是30人以下的製造業跟服務業這個數位轉型賠利我想請問一下目前宜蘭在地的產業有沒有人申請這個東西這個
transcript.whisperx[250].start 22327.628
transcript.whisperx[250].end 22350.006
transcript.whisperx[250].text 有沒有這個補助我要回去check一下但是我剛剛跟您報告過就是說我們會有主動的這個輔導團分成四區啦那宜蘭在裡面我們也會主動的包括在地的有一些工業園區或工商團體我們都會跟他接洽那我會整理資料給您那這樣就是還是一樣再給我資料因為我今天問的
transcript.whisperx[251].start 22351.307
transcript.whisperx[251].end 22372.257
transcript.whisperx[251].text 比較細沒有錯啦但是我現在沒有得到答案就麻煩你們再給我所以我還是希望一個啦就是說我希望說經濟部能夠找這個國科會啊國發會能夠對於這個宜蘭第三期這宜科三期這個到底目標產業是什麼目標廠商然後就會KPI出租啊等等這個管考等等至少你三個月內你能夠把這個
transcript.whisperx[252].start 22373.078
transcript.whisperx[252].end 22387.176
transcript.whisperx[252].text 書面給我一下我才能夠幫你們辯護嘛告訴地方的鄉親我們政府為了他們做什麼我想這個再麻煩你們一下沒問題那再來我再提一個東西就是因為之前我們的院長曾經公開說
transcript.whisperx[253].start 22388.702
transcript.whisperx[253].end 22406.887
transcript.whisperx[253].text 算力就是國力那個院長曾經提過這個我也非常的認同這個而且這是未來世界產業的走向我在這邊跟各位報告我還是覺得就是矽光子這個東西真的是我們宜蘭未來翻身的一個完美的解方我想提出幾個重點第一個就是說
transcript.whisperx[254].start 22408.307
transcript.whisperx[254].end 22435.986
transcript.whisperx[254].text 就是說他主要仰賴這個數位服務跟資安研發主要是仰賴這些光纖跟矽光子所以他不用再繞過交通沒有血稅塞車等等的問題再來台北其實也比較飽和了租金也比較昂貴但我們宜蘭其實像剛剛我們說的有很多工業區的土地還是沒有租出去所以說其實宜蘭真的很適合是大台北科技狼帶的一個數位外溢的節點真的可以移到宜蘭去
transcript.whisperx[255].start 22439.438
transcript.whisperx[255].end 22457.011
transcript.whisperx[255].text 這個包括後台基地等等都可以還有一個就是說其實是符合宜蘭人想要的一個環保需求因為這些東西都是比較屬於低碳排、低污染的這個部分想麻煩這邊一個建議三位不用回答這是一個建議麻煩說能夠盡量幫我們去思考這個部分
transcript.whisperx[256].start 22458.231
transcript.whisperx[256].end 22484.76
transcript.whisperx[256].text 再來就是說其實我們一直講說AI是五大信賴產業然後我們也講了均衡台灣所以我還是真的希望要把宜科放進去真的給我相關的數據我真的很希望得到因為目前我都還沒有查到足夠的數據能夠讓我理解我也想請各位看看其實我們台積電在美國的鳳凰城跟日本的熊本
transcript.whisperx[257].start 22485.86
transcript.whisperx[257].end 22501.809
transcript.whisperx[257].text 我看到很多例子就是真正的招商不是蓋完廠房等廠商很多時候政府主動造了一個局然後廠商他就會很希望到那個地方來發展所以我這邊有提了幾個建議的點那當然這幾個
transcript.whisperx[258].start 22502.91
transcript.whisperx[258].end 22519.533
transcript.whisperx[258].text 策略也是有去詢問過一些相關產業的他們給我們的一些比較專業的建議那我們希望說有五個我們就簡單唸出來然後請看一下PPT我們希望說能夠引進一個那個苗點的企業不要廠商都只是一些零星的廠商
transcript.whisperx[259].start 22520.194
transcript.whisperx[259].end 22542.044
transcript.whisperx[259].text 他還是必須要整個產業鏈贏過去那才有意義所以我們希望能夠打包整個供應鏈那邊成為一個生態系而不是說東一個西一個零星的廠商那還有一個我們希望打造人才的工廠希望說在宜蘭推動半導體吸光者或是資安在地培訓的一些課程等等因為我們希望廠商
transcript.whisperx[260].start 22543.144
transcript.whisperx[260].end 22564.449
transcript.whisperx[260].text 需要到那邊設廠但是我們人才希望比廠商先到位來方便那些廠商不要讓企業到了找不到人才還有一個完善生活機能再來我們還是希望中央要能夠親自造這個局讓大家能夠過上好日子否則宜科永遠都只是一個邊緣的園區這是我們很擔心的一個點
transcript.whisperx[261].start 22566.389
transcript.whisperx[261].end 22572.633
transcript.whisperx[261].text 畢竟你看那個矽光子的產業鏈它已經形成那種跨企業的聯盟超過150多個夥伴這個狀況之下
transcript.whisperx[262].start 22576.534
transcript.whisperx[262].end 22603.34
transcript.whisperx[262].text 為什麼中央對宜科還沒有一個比較對接的地圖出來我一直覺得這是對宜蘭的一個很好的機會真的麻煩三位長官能夠多幫忙這塊我們把它達成好那所以我還是希望就是國發會這邊可不可以找經濟部國科會和那個宜蘭縣府我們就是就這個宜蘭園區的就是AI跟矽光子這個招商有沒有一個補救的一個方案
transcript.whisperx[263].start 22604.059
transcript.whisperx[263].end 22626.865
transcript.whisperx[263].text 你看那三個月內能夠給我一個初步的也可以至少讓我了解一下我未來的狀況好不好在這個部分跟委員報告一下就是說台灣不是每一個地方都適合蓋金園廠因為蓋金園廠有它的土地的需要所以可能會綜合評估所以我說我要的是評估並不是說你給我做這件事
transcript.whisperx[264].start 22628.906
transcript.whisperx[264].end 22651.224
transcript.whisperx[264].text 我不是不講理的人但是麻煩你們要給我一個評估看看有沒有什麼補救方案不行的話我們就告訴人民客觀上不行可以的話我們就盡量做到這是我的一個想法我還是希望了解宜科到底在我們首都圈的黃金狼帶能扮演什麼樣的角色還有未來年輕人他們能做什麼
transcript.whisperx[265].start 22651.904
transcript.whisperx[265].end 22678.792
transcript.whisperx[265].text 因為我現在不能要求說這些年輕人留在宜蘭是靠他的熱忱或是拿他的未來來賭嘛賭賭看在宜蘭有沒有機會我不希望他們留在宜蘭是這樣我希望他們是覺得留在宜蘭是有尊嚴的那對未來是有希望的好那下一個我想是一個老問題啦這個是因為我在3月3號的時候我當時的總諮詢我有提出兩個東西要麻煩行政院回覆但回覆的結果我並沒有
transcript.whisperx[266].start 22680.872
transcript.whisperx[266].end 22698.842
transcript.whisperx[266].text 達到我能夠對我的一些懷疑的點示意第一個就是說因為我們在談那個台美對等貿易協議這老問題 ART 的部分我一直提到一個點如果當美國違反的時候因為這是一個雙向條款對不對那這個雙向條款如果美國違反了我們能怎麼做
transcript.whisperx[267].start 22699.562
transcript.whisperx[267].end 22718.583
transcript.whisperx[267].text 我當時問出這個問題我也講出條文結果行政院回給我的他就把條文抄一抄再給我可是我當時質詢我已經把條文講完了我並不是要跟你們要條文我只是說萬一發生這個狀況我們台灣好像吃虧了那政府的反制的SOP是什麼但是我沒有拿到所以這個部分
transcript.whisperx[268].start 22719.324
transcript.whisperx[268].end 22738.313
transcript.whisperx[268].text 我希望行政院還是能夠回覆給我所有的企業都要看這個狀況因為美國的任何一個作為我們台灣都可能有企業會受影響所以是不是可以把SOP這個啟動的流程要怎麼做你談對等對等這兩個字的時候你要怎麼做必須公告給國內的產業界知道這個東西麻煩必須告訴我
transcript.whisperx[269].start 22743.345
transcript.whisperx[269].end 22766.498
transcript.whisperx[269].text 那譬如說美國現在已經對我們啟動301調查那我們要怎麼樣回應等等的那將來是不是有一些狀況如果有一個不對等狀況發生是不是經貿辦公室要先啟動調查收集情報提報行政院再由那個財政部或誰經濟部去做一些相關的反制措施是不是有這個流程麻煩行政院給我上一次質詢我已經有提過
transcript.whisperx[270].start 22767.642
transcript.whisperx[270].end 22776.087
transcript.whisperx[270].text 但是我並沒有得到回覆院長這部分再麻煩你301的調查美國不是針對台灣是對世界上我不是問3014月28號會開始進行強迫勞動的公聽會5月5號會進行產能過量的公聽會公聽會之後
transcript.whisperx[271].start 22788.815
transcript.whisperx[271].end 22805.807
transcript.whisperx[271].text 結束之後的七天內我們就可以把我們要回覆或是我們要申訴我們要強調的理由再回去這個就是一個程序問題目前都在程序問題當中我不是在問這個我只是在問一個如果有不對等的狀況發生我們這裡要怎麼啟動一個SOP
transcript.whisperx[272].start 22807.668
transcript.whisperx[272].end 22833.267
transcript.whisperx[272].text 程序當中在程序上必須是對等他有問我們有答我們也有時間來強調重複我們的實在的訴求沒問題啊 院長您說的我都聽到 再來就進到實質再去內容的問題了好 那個我跟你講我還是一個簡單麻煩給我怎麼啟動運作模式就好了我現在不是為個案好不好好 第二個我當時有提到一個點因為你們當時有做找智庫做了一些衝擊的評估嘛
transcript.whisperx[273].start 22834.688
transcript.whisperx[273].end 22855.336
transcript.whisperx[273].text 那我當時有跟你們問說是哪一個智庫它的模型是什麼它的數據是什麼來源是什麼情境怎麼設定當場也跟我說會回覆給我全文也可以給我結果後來我什麼都沒看到那時候問的時候還有人跟我說這個智慧財產權我說國家做東西國會要這拿來的智慧財產權的著作權的問題我們有回文了
transcript.whisperx[274].start 22858.697
transcript.whisperx[274].end 22886.002
transcript.whisperx[274].text 但是我沒有看到這些資料哪一些智庫我到現在還不知道我現在完全不知道更嚴重的是很多東西我們都是從美國代表組他的事實清單我們才看到所以我們很多東西譬如說我們跟美國以後的相處美國很多車子機械藥品肉品農產品等等的他們進到台灣他可能是低關稅甚至會不會是零關稅都有可能
transcript.whisperx[275].start 22886.502
transcript.whisperx[275].end 22913.583
transcript.whisperx[275].text 那這個東西我們都不知道啊那你們雖然回到台灣來講得很好聽說我們爭取到15%不疊加232最優惠等等你們講的這些沒有錯口話都很好聽我們人民也知道我們必須拿一些東西去交換但是至少讓我們知道我們拿了什麼去交換那我們有什麼東西將來要因應嘛還有一個譬如說那個SSG的問題啦那我們是放棄SSG嘛那將來
transcript.whisperx[276].start 22914.904
transcript.whisperx[276].end 22939.12
transcript.whisperx[276].text 放棄之後呢本來這個SG它是一個農產品的安全法進口量突然暴增價格被打太低它還可以有一個額外的保護但這個我們也都放棄了這個是不是也要讓農民能夠更清楚一點知道這些狀況不然會不會以後很多問題發生了人民才在那邊痛苦那農漁民傳產要怎麼生活其實這是我一直很擔心的所以
transcript.whisperx[277].start 22939.72
transcript.whisperx[277].end 22950.535
transcript.whisperx[277].text 我簡單的講我從美國那邊的文件看到就是說台灣讓美國的貨更容易進到台灣我看到的是這樣然後呢
transcript.whisperx[278].start 22951.738
transcript.whisperx[278].end 22977.121
transcript.whisperx[278].text 我們的立法委員在國會本來是代表全民監督政府結果我們現在得到的資訊必須要自己去看美國的資料我們國家反而是蓋起來不給大家知道我是覺得這個不是一個民主國家該有的樣貌很多人只是告訴人民說我們一切都好我們談得非常漂亮但是內容是什麼人民其實都不是很清楚
transcript.whisperx[279].start 22977.782
transcript.whisperx[279].end 22998.532
transcript.whisperx[279].text 好那所以剛剛這個就是麻煩一下剛剛我提到了雙項條款怎麼啟動這個能夠給我回覆一下第二個智庫的名單全文還有分析模型數據能夠給我一下讓我來參考就好麻煩因為這是我在上一次總諮詢我就提出來要請你們做但沒有做好這邊就麻煩可以嗎可以給我這兩個資料嗎
transcript.whisperx[280].start 23000.677
transcript.whisperx[280].end 23028.14
transcript.whisperx[280].text 好 如果不涉及這個我剛才講的他們營業秘密的話我們提供給你可是放心啦我個人對營業秘密對國家機密我從來不會去要這個東西我也都跟我的辦公室同仁說國家機密的東西不可以去要這個沒有必要的情況下不可以去要國家機密的東西好 那個報告主席時間先暫停齁先暫停我們請那個三位辛苦了 三位可以先回座不過卓院長都要回座嗎
transcript.whisperx[281].start 23029
transcript.whisperx[281].end 23039.837
transcript.whisperx[281].text 國務院長要回座嗎 都回座謝謝行政院 國務院長也謝謝 請回座剩下你要自己表述還是需要就我表述 我等一下表述幾個議題 請大家參考那時間可以繼續
transcript.whisperx[282].start 23046.009
transcript.whisperx[282].end 23071.104
transcript.whisperx[282].text 三位辛苦啦我想說接下來因為我這段時間對國家有一些看法我想說跟各位報告一下也請現場的各位官員能夠帶回去參考一下因為我在走訪基層的時候其實我發現了一個狀況很多人跟我說現在這個時代非常的混亂為什麼會出現這個狀況之前的官會秘書長他有提過一個他說
transcript.whisperx[283].start 23072.472
transcript.whisperx[283].end 23082.971
transcript.whisperx[283].text 民進黨執政十年就是鬥這個字而已內鬥內 外鬥外那因為鬥下去 這樣鬥下去之後這已經超過一個民主國家政黨之間競爭的狀況了啦
transcript.whisperx[284].start 23084.813
transcript.whisperx[284].end 23103.501
transcript.whisperx[284].text 那我總是很擔心因為我跟各位報告我一家老小全部都生活在台灣我一家老小沒有移民沒有帶雙重國籍或是綠卡我一家老小沒有所以台灣的安全台灣的未來經濟狀況什麼是我最擔心的一件事情
transcript.whisperx[285].start 23104.241
transcript.whisperx[285].end 23128.295
transcript.whisperx[285].text 我們這段時間看到烏克蘭,看到加薩,看到伊朗我們很擔心下一個發生的地方會不會是台灣我想全台灣人,包括各位在場的官員也都這麼擔心那我覺得我現在發生了一些很痛苦的事情我覺得這個國家充滿了騙我沒有辦法接受一個國家從上到下大家都在騙人我們講第一個,剛剛我們講的關稅的部分
transcript.whisperx[286].start 23130.253
transcript.whisperx[286].end 23150.199
transcript.whisperx[286].text 在外面談了什麼我們都能接受台灣的國際狀況我們也能理解有很多不得已的古裝但是不要回過頭來騙國人講了一個很漂亮的火花一個大內宣我們前一陣子顏惠欣過世她是一個很棒的人才她給全國人民的一個警訊原來CPTPP
transcript.whisperx[287].start 23151.567
transcript.whisperx[287].end 23166.616
transcript.whisperx[287].text 政府對外講的非常的激動我們還要吃萊豬就是為了換CPTPP結果呢領導者就是消極的面對他多次的反應卻被霸凌那這就是騙再來預算案
transcript.whisperx[288].start 23169.212
transcript.whisperx[288].end 23196.841
transcript.whisperx[288].text 我們在地方上一直被人家罵為什麼不審總預算但我告訴有很多甚至是高學歷的醫生什麼我跟他說那你們知不知道三讀通過的法律案法律案不願意編列預算執行他們都不知道他們都不知道他只覺得為什麼南白不審總預算那這不是又是一個騙然後這段時間綁架全國人民說新興預算沒辦法過然後會受影響
transcript.whisperx[289].start 23198.702
transcript.whisperx[289].end 23213.654
transcript.whisperx[289].text 當我們讓薪金預算過了以後行政院不動之那舊有的預算呢依據預算法我們還是可以動用啊但他告訴全國人民說都沒有錢的你來申請什麼我都跟你說沒有那過去那段時間呢
transcript.whisperx[290].start 23215.49
transcript.whisperx[290].end 23239.764
transcript.whisperx[290].text 預算案的解凍明明一份報告來就可以解凍結果所有的公務機關不送解凍案來私下跟我們說長官叫他不可以送後來文化部內部的文件曝光長官叫他們不可以送陸陸續續很多公務員跳出來說是長官叫他們不准送解凍案結果我們的政府繼續騙為了讓人民去受騙為了讓人民覺得大罷免要投罷免票
transcript.whisperx[291].start 23240.865
transcript.whisperx[291].end 23246.06
transcript.whisperx[291].text 然後為了讓人民這麼做 然後騙人家說護照發不出來豬骨貼沒有 育兒津貼沒有從頭騙到尾
transcript.whisperx[292].start 23249.773
transcript.whisperx[292].end 23268.724
transcript.whisperx[292].text 結果是什麼 明明很多預算 法定預算都可以支出 依照預算法就是這麼規定但是政府就在騙人 信息預算過了 他就不動之 繼續騙人軍購案呢 明明告訴大家 對沒採購我們絕對不擋 而且舉雙手贊成我們有意見的只是一些其他的國防採購 對國內的採購應該回歸到正常的常規預算來審查
transcript.whisperx[293].start 23273.047
transcript.whisperx[293].end 23279.96
transcript.whisperx[293].text 要加大審查力度結果繼續騙說你扣你的就扣你的帽子中共通路人全部都在搞這些
transcript.whisperx[294].start 23282.112
transcript.whisperx[294].end 23307.83
transcript.whisperx[294].text 補發一萬塊一下說違憲這叫預算案違憲事實上那是法律案結果呢大家有意見之後又騙說合憲但是沒有錢然後後來又改成違憲最後呢大罷免失敗就全部發下去還要註明是行政院合法國會改革案每一個條文幾乎都是民進黨當年提的民進黨還有理想的時候提的結果我們現在提叫做國會擴權
transcript.whisperx[295].start 23310.738
transcript.whisperx[295].end 23329.923
transcript.whisperx[295].text 這個世界上民主國家民主國會三讀通過的法律行政院就要執行但是在我們國家三讀通過的法律可以不執行就因為他不想執行憲法給你復印你就不復印都在騙從頭騙到尾印度移工明明是你
transcript.whisperx[296].start 23345.96
transcript.whisperx[296].end 23347.22
transcript.whisperx[296].text 我們接下來請黃建豪委員進資訊
transcript.whisperx[297].start 23372.315
transcript.whisperx[297].end 23377.538
transcript.whisperx[297].text 好 謝謝主席 現在院長我們邀請行政院 卓院長麻煩再請卓院長備詢彭委員好 院長好院長我想這個今天一開始要一樣經濟組的質詢呢我們是非常關切這個能源議題那當然因為近期這個伊朗美國的戰爭當然導致全國全球的能源受到影響那當然台灣也不能
transcript.whisperx[298].start 23402.166
transcript.whisperx[298].end 23402.575
transcript.whisperx[298].text 免俗吧
transcript.whisperx[299].start 23403.134
transcript.whisperx[299].end 23432.172
transcript.whisperx[299].text 我們也是要面對這個能源危機的問題當然面對能源危機馬上看到這個新聞是說我們預計要來重啟這個麥寮的電廠來作為這個緊急發電來備用那針對這個問題我們作為台中立委根據經濟部3月之前的規劃台中火力電廠的蒸氣拆煤計畫裡面他目前還是要保留六部燃煤機組來作為緊急備用那當然政府的立場會認為說這個是基於國安任性因為我們天然氣的這個
transcript.whisperx[300].start 23433.712
transcript.whisperx[300].end 23462.218
transcript.whisperx[300].text 發電的這個庫存的時間就只有大概11天左右的時間所以如果真的萬一發生像這樣子臨時的狀況可能需要燃煤作為備用的機組那其實之前包含總統也提到說可能有機會大家來討論說重啟核電的這個情形嘛那如果今天有機會可以重啟核電如果今天有機會有其他替代能源方案的話台中的火力電廠的燃煤機組你們還是一定要保留下來嘛有沒有機會做調整
transcript.whisperx[301].start 23463.311
transcript.whisperx[301].end 23490.644
transcript.whisperx[301].text 他保留成為備用機組的這個政策是已經定了那麼如果有一些其他的增加的能源替代那我想那個是額外增加的為了台灣整個能源的安全我們照原來的規劃不過我跟委員承諾我過去到台中的時候我也說過我們從2034年我希望到2032年甚至我們到2030年就可以提前來檢討其他所有備用機組未來使用的狀況以及它存留的狀況好 院長
transcript.whisperx[302].start 23491.664
transcript.whisperx[302].end 23519.807
transcript.whisperx[302].text 其實這兩年你要說這三年我們確實有看到雙方大家的努力讓台中的火電廠的燃煤確實有下降從113年等1033年8萬噸114年降到就是有下降了13.9%所以整體來講是下降的但是今年我要講今年當然可能因為戰爭我不知道有沒有能源調度的問題今年同期就是今年1月到4月跟去年1月到4月跟前年1月到4月今年反而是比較成長的比較多一點今年到目前為止
transcript.whisperx[303].start 23520.447
transcript.whisperx[303].end 23525.433
transcript.whisperx[303].text 113年1到4月是263萬噸然後114年1到4月是242萬噸那今年1到4月目前已經278萬噸了所以今年1到4月當然是成長可能是因為調度的問題那我要問的是說前面兩年是逐年在下降那今年
transcript.whisperx[304].start 23536.287
transcript.whisperx[304].end 23561.135
transcript.whisperx[304].text 可能會不會因為美伊戰爭的關係台中火力電廠的燃煤會因為戰爭的關係提高嗎它的使用會提高嗎不會謝謝院長 謝謝部長的保證我們希望到年底結算的時候我們還是要達成逐年下降的問題但是因為我們今天為什麼要特別提台中火力電廠機組的問題因為這涉及到整個國家競爭力我想國家能源結構我們特別要提到這件事情
transcript.whisperx[305].start 23562.455
transcript.whisperx[305].end 23590.744
transcript.whisperx[305].text 歐盟現在也在談了所謂的CPM要談這個碳邊境調整機制那美國國外也在討論說要來討論外國污染費用的法案所以這個東西它涉及到的就是我們出口的產品當然我們現在台股長這麼高那我們看到出口的表現非常好非常多屬於製造業的部分但這些製造業出去之後它的使用的這個所謂電力電力的能源成本多數我們台灣的能源結構長這樣嘛還是都是以火力發電為主那我們看到說
transcript.whisperx[306].start 23592.304
transcript.whisperx[306].end 23617.61
transcript.whisperx[306].text 這個根據台大風能中心2024年調查報告顯示我國工業部門的用電佔比高達61.4%明顯高於韓國、德國、日本甚至美國那我們電力部門碳排放數據也高達全國總碳排放60%也高於韓國、日本、德國跟美國這些競爭對手所以在這樣的能源結構之下我們的出口未來會不會受到這個新的法案的影響
transcript.whisperx[307].start 23618.49
transcript.whisperx[307].end 23619.571
transcript.whisperx[307].text 所以我們為什麼綠能產業要一直在趕快推進
transcript.whisperx[308].start 23638.527
transcript.whisperx[308].end 23651.218
transcript.whisperx[308].text 那會符合至少剛開始國際上來講比較就是自願性的這些就是RE100那我們就盡量滿足這些RE100承諾的一些廠商可以在他們承諾的範圍裡面供應給他們的這個綠電
transcript.whisperx[309].start 23654.93
transcript.whisperx[309].end 23670.283
transcript.whisperx[309].text 部長 院長這樣子喔這R100當然是過去也特別強大過但是因為現在歐盟也重新來承認核能是乾淨能源的情況下R100效果下比較少人在談了啦但是我們希望說因為你們講綠電但是去 沒關係講數據的話以去年來講我們對綠電的要求就是說你本來預計去年要達到20%這個事情去年我們自己國內也沒有達成啦
transcript.whisperx[310].start 23678.07
transcript.whisperx[310].end 23700.49
transcript.whisperx[310].text 所以我們當然希望說在能源轉型的部分不能這麼仰賴但是我們現在等於台灣80%以上是使用所謂的火力發電那我覺得這對產業未來的競爭力還是有影響所以我覺得除了綠電之外到底核能重啟的可能性在政府的評估裡面會不會發生到底要不要做這個事情我們在程序當中現在在自主安全檢查的程序當中那我們的再運轉計畫
transcript.whisperx[311].start 23701.707
transcript.whisperx[311].end 23714.629
transcript.whisperx[311].text 也送到了這個核安會核安會好像馬上就會開有開一個類似公聽會這樣的我想這還是要盡快來加速啦不然如果能源轉型卡住我覺得對於台灣的產業經濟因為就像提到了不管是
transcript.whisperx[312].start 23716.299
transcript.whisperx[312].end 23738.926
transcript.whisperx[312].text 這個當年反核最高峰是2014年因為日本福島核災所以日本極度反核連他們自己都已經重啟那韓軌更不用講所以我們台灣在亞洲面對主要競爭對手這兩個比較屬於高科技我們產業類比較相似的兩個國家所以委員您也知道嘛當初說核能不研議跟核四暫停就是在那時候決定的
transcript.whisperx[313].start 23739.434
transcript.whisperx[313].end 23754.167
transcript.whisperx[313].text 我們希望那個年代確實有這狀況這十年大家的辯論包含現在的社會共識大家也希望說要去面對確實十年前二十年前全球的主流希望大家所向飛而家遠
transcript.whisperx[314].start 23754.967
transcript.whisperx[314].end 23779.113
transcript.whisperx[314].text 那今天連德國這個非核家園的創始國這個祖宗國他連自己的人員部長都出來說這個非核是一個錯誤的政策在這種前提之下我想台灣也要重新思考我們的能源政策如果一直死守著這個狀況我們現在等於是非核我們現在真的非核家園了我們完全沒有核能了但我們主要發電都是活力發電只有百分之不到百分之二十所謂的綠能我想
transcript.whisperx[315].start 23780.748
transcript.whisperx[315].end 23801.628
transcript.whisperx[315].text 這要引申出新的問題這兩天的新聞昨天台北市議會在講這個翡翠水庫的問題翡翠水庫如果從今天開始今天開始它不接受這個調度去過去三年有六次要求它緊急發電去調度我們的這個供電當然因為能源問題能源不穩定所以我們必須去拜託去要求這些水利發電來支援這些發電那這也算是綠電的一部分嘛
transcript.whisperx[316].start 23802.068
transcript.whisperx[316].end 23815.878
transcript.whisperx[316].text 那這樣的未來如果像今年如果像斐濟水庫這類的或像台中的德基水庫這種大型的水利發電的設施他如果不願意供電或是他不願意用原來的方式原來的售價給台電的話那我們的電力狀況會不會發生影響
transcript.whisperx[317].start 23819.1
transcript.whisperx[317].end 23840.116
transcript.whisperx[317].text 台電公司說是影響沒有很大因為他本來就要排放水下來那排放水下來就會同時發電那這個部分台電公司付了每一度電2塊1給他那他現在是做調度的部分他要求說一度水要3塊錢換算成一度電是12塊5
transcript.whisperx[318].start 23841.857
transcript.whisperx[318].end 23862.904
transcript.whisperx[318].text 那再加上2塊5就14塊5一度墊那這樣的話這個價錢是台北市議會他們的事情我們沒有特別要關這事情但是我想說今天從這個以建為支柱今天從一個你剛剛台電認為說這事情可能影響衝擊不大剛剛部長意思是這樣子因為事實上他在緊急掉落的時候他水放下來水還是流著
transcript.whisperx[319].start 23863.866
transcript.whisperx[319].end 23881.824
transcript.whisperx[319].text 還是可以因為它主要是水庫用水嘛我知道水沒有蒸發掉它要放下來沒錯我是說如果說緊急電就是因為過去電不夠才要跟它緊急調度嘛但是基本上水庫並沒有損失耶因為它水還在只是從上面到下面而已那那個電可以用嗎我是說未來
transcript.whisperx[320].start 23883.206
transcript.whisperx[320].end 23905.418
transcript.whisperx[320].text 他今天是講說因為電不夠電不夠所以要給他緊急調度那你未來你要緊急調度的時候翡翠水庫現在可以說那你如果價錢談不攏我不要接受你的緊急調度他的意思是這樣子嘛對不對希望經濟部台電能夠跟台北市政府也能夠好好對談翡翠水庫的管理因為這個是國家的支援剛剛委員也提到我們需要綠電
transcript.whisperx[321].start 23906.559
transcript.whisperx[321].end 23929.717
transcript.whisperx[321].text 我們產業需要綠電才能進入到國際市場那如果能夠透過水利的發電也是我們補充綠電很重要的一個來源所以多元發展綠電也包含在這個當中所以我要求經濟部跟台北市好好的協商在這過程當中照我們過去的條件能夠做怎麼樣的調整但是一定要以國家能夠發展能夠用電這樣的前提大家來談
transcript.whisperx[322].start 23930.618
transcript.whisperx[322].end 23938.087
transcript.whisperx[322].text 當然站在立法委的角度我們擔心整體國家的這個能源調度的問題因為今天我是說藉為支柱今天如果連緊急調度
transcript.whisperx[323].start 23939.591
transcript.whisperx[323].end 23966.385
transcript.whisperx[323].text 跟翡翠水庫這種些微翼的電力都需要跟他調度那表示我們能源可能在某些時候真的會有點問題所以我們才是要思考轉型跟思考更先進的能源的技術嘛那是一個很大的水庫我們連小水利都在發電了況且是這麼大的一個水庫的資源非常的珍惜好回到一開始的問題剛剛提到說其實如果按照這個能源配比的問題如果短期內我們要走向核能或像我們現在的綠電
transcript.whisperx[324].start 23967.406
transcript.whisperx[324].end 23981.704
transcript.whisperx[324].text 不夠所以包含台中這些所謂的碳我們這個火力電廠你需要留下來備用留下來備用是基於國家安全某種程度上我可以理解啦但是我要講什麼台中的火力電廠是最舊老舊的基礎
transcript.whisperx[325].start 23982.864
transcript.whisperx[325].end 24012.014
transcript.whisperx[325].text 那之前有大家討論過的事情如果你要保留或是你要維持燃煤的話燃煤現在也有超超零件機組啊那台中火力電廠能夠換成超超零件機組嗎能不能不要再用舊的包委員事實上他的那個環保的加研都有在持續的在做可是說他原來的排放部分我們有加讓他更環保的改善的設備他的標準已經達到你剛才講說變成超超零件那個可能就要拆掉重建
transcript.whisperx[326].start 24012.914
transcript.whisperx[326].end 24028.79
transcript.whisperx[326].text 但是我們會用更環保的方式,把它加嚴起來因為我...人員問題是一件事情,因為討論到台中火力場永遠就兩個戰場在討論一個是人員問題,一個是說如果我把它拆了,電不夠的時候怎麼辦?經濟部常常這樣講
transcript.whisperx[327].start 24029.511
transcript.whisperx[327].end 24047.64
transcript.whisperx[327].text 但是對於在地民眾或對於環保人士或對於在意空氣品質的人來講你火力發電只要拿來臨時來調度它是舊的基礎你就算把它拿去備用它真的缺電你拿一燒下去開始它的空氣汙染是很嚴重嘛所以為什麼它是一個備用所以它絕對在用電無虞的時候它就不會用
transcript.whisperx[328].start 24048.56
transcript.whisperx[328].end 24066.358
transcript.whisperx[328].text 只有在非常非常緊急的狀況的時候才有可能啟動院長跟部長我問你一件事情如果你說加鹽它的環保的設施等等的難道它排出來的這些毒物或排出來的這些氣體的標準能夠達到跟超超零接機組一樣嗎我的意思是這樣子啊
transcript.whisperx[329].start 24068.02
transcript.whisperx[329].end 24085.088
transcript.whisperx[329].text 是有相當的接近喔只是說你再怎麼加鹽他退CO2的確是就沒有辦法所以我們還是如果是為了減碳的話我們還是會有一些考量我想這樣啦因為時間也不夠這部分我想晚上表達一下台中電廠我的立場啦
transcript.whisperx[330].start 24086.849
transcript.whisperx[330].end 24106.403
transcript.whisperx[330].text 第一個當然最好是把它拆了第二個如果你不拆我還是希望說你除了環保這個設施把它更新之外我們期待說站在你如果能源配比因為本來當然煤炭也是一個能源的一部分但是如果能夠換成超超零基組讓它的排放更乾淨
transcript.whisperx[331].start 24107.023
transcript.whisperx[331].end 24134.426
transcript.whisperx[331].text 我覺得這個是行政院未來應該要努力的方案可以嗎因為我們要換就直接換氣了他現在已經用燃氣機組了好沒問題像今年一號機二號機燃氣機組就要上來講到燃氣一部燃氣機組等於兩部的燃氣機組沒錯這個我們都支持所以我還是希望說但是你要備用的話我們希望說他還是要一定程度的讓他更加先進不要再像過去這樣子排放這麼多暫控器然後現在接下來講到燃氣我想天然氣這問題我們大家都很關注這個事情
transcript.whisperx[332].start 24136.977
transcript.whisperx[332].end 24143.884
transcript.whisperx[332].text 這個過去幾年過去我們在台北ARP的時候曾經有一件事情到討論說我們要去買阿拉斯加的天然氣
transcript.whisperx[333].start 24145.349
transcript.whisperx[333].end 24174.604
transcript.whisperx[333].text 這個事情 包含說我們跟這個台美關係裡面提到說我們要去跟他們採購441美元的原油跟天然氣還有相關電力設備那這個參議員當然我們去美國的時候有跟他討論這個事情我們要問的一件事情是說我們買的阿拉斯亞天然氣他當然現在還沒有辦法提供那我們到時候是這個採購案我們是直接跟他買還是我們是投資 這不一樣因為今天我們需要的是說有更多的能源方案或是能夠有對台灣的這個能源選擇更多更多元
transcript.whisperx[334].start 24175.117
transcript.whisperx[334].end 24189.699
transcript.whisperx[334].text 那你除了直接跟他採購他如果是這個館是他們的公共建設他國的公共建設那我們是這時候參加這時候加入去投資成為投資方然後未來有更優惠的
transcript.whisperx[335].start 24190.74
transcript.whisperx[335].end 24207.656
transcript.whisperx[335].text 一個優惠的天然氣可以使用呢還是他蓋完之後我們才跟他買先跟委員報告阿拉斯加這個能源的開發案現在是一個國際矚目的案件也有相當其他的幾個國家也表示了興趣高度的興趣甚至會參與那我們也在衡量投資跟採購
transcript.whisperx[336].start 24208.857
transcript.whisperx[336].end 24234.662
transcript.whisperx[336].text 或是未來的這個直接的採買任何一樣對現在國家的情勢最有利我們會採行最好的方式去如果現在跟國際其他幾個國家一樣我們經過精細的核算之後投資有投資的算法未來直接採買直接採買的方式那如何取得更長期穩定供應的能源的這前提底下這由經濟部台電跟所有的部會我們在做一個很精細的研究當中
transcript.whisperx[337].start 24235.222
transcript.whisperx[337].end 24262.454
transcript.whisperx[337].text 那我認為我們參與這樣一個國際的事務也讓我們在國際經驗上有更多更多的成長跟累積原則上來講的話我們就是多元採購是比較風險會比較低那所以就是說因為阿斯嘉說老實話如果將來他真的天然氣廠蓋好以後因為他距離我們最近所有的這個就是天然氣廠天然氣運送他會最近
transcript.whisperx[338].start 24263.069
transcript.whisperx[338].end 24288.383
transcript.whisperx[338].text 而且對我們來講最安全所以就是說我們當然樂觀其成他說當然有機會我們可以參與投資也很好因為看起來他應該會賺錢如果評估以後啦就是我剛剛提到的嘛到底我們是單純的就像現在我們去跟卡達買去跟澳洲買去跟各國買還說未來像這個案子他這麼早他現在等於是早期階段也規劃了那如果我們投資未來可以回收
transcript.whisperx[339].start 24289.123
transcript.whisperx[339].end 24312.032
transcript.whisperx[339].text 甚至未來我們有更多的參與權有更多的話語權對 我們會評估如果覺得是划得來我們就來這樣做好 謝謝接下來我想最近大家提到說因為這個能源危機所以中油 院長說我們要去感謝中油不過這是納稅錢就是說中油確實吸收了非常多的費用但是我要問一件事情到底這個3500億
transcript.whisperx[340].start 24314.673
transcript.whisperx[340].end 24339.866
transcript.whisperx[340].text 我們到底是資本投資還是去補足現在的他的現金的虧損到底這個3500億的目標我們是要做什麼用的我先跟委員表示感謝中油是感謝中油那麼多的同仁在這個時候願意共體時間而且他們到海外去爭取很多的油很多的氣這個過程是辛苦的當然他的體質我們不能讓他財務發生困難未來經濟部已經在
transcript.whisperx[341].start 24340.986
transcript.whisperx[341].end 24366.482
transcript.whisperx[341].text 在審核甚至在有一個相當的一個成熟的案子如何來讓中油的這個財務能夠獲得稍微的紓解那我們要考慮到紓解的財務的過程當中是不是一併要也考慮到在這段時間當中他那麼多的吸收他那麼多的額外的支出要不要在這個時候也一併算進來所以無論是讓他能夠增加融資或是讓他能夠有一個公務預算的一個撥補進去或是這個
transcript.whisperx[342].start 24370.746
transcript.whisperx[342].end 24390.676
transcript.whisperx[342].text 剛剛講到了對他的財務的這個增資這三件事情我們都可以在同時來考量融資或是撥補或是對他的增資我們都在考量這個過程當中經濟部已經有一個附番一個想法我今天提這個問題是因為雙方的說法對這個財務的認知是不太一樣包含董事長之前講說他認為這個對經營只是說對報表好看
transcript.whisperx[343].start 24395.058
transcript.whisperx[343].end 24422.379
transcript.whisperx[343].text 但這個部長提到說是為了未來能源建設所以他這個3500億他的價值到底是資本投資是說我讓這個中央公司資本更加健全還是說去補現在的缺口不是原則上增資是為了資本投資那如果是虧損照理說是我們要預算撥補給他因為不是因為虧損應該是講就是說他政策吸收他因為政策吸收以後我們政府會
transcript.whisperx[344].start 24423.962
transcript.whisperx[344].end 24430.525
transcript.whisperx[344].text 撥補給他 那個部分是用撥補的方式所以是兩筆錢嗎 這樣講起來會是兩筆錢嗎3500億之外 未來如果這段時間過完 結算發現虧損很嚴重主席總書正在考量 要不要因為現在這一次的中東戰爭 有一個什麼樣的
transcript.whisperx[345].start 24444.112
transcript.whisperx[345].end 24458.909
transcript.whisperx[345].text 財政上的給我們協助現在正在考量所以未來有可能嘛就是說現在除了本來3500億是在資本投資是希望說改善他的資本的財務狀況之外因為中油將來還有很多的建設需要投資的
transcript.whisperx[346].start 24460.31
transcript.whisperx[346].end 24473.364
transcript.whisperx[346].text 我知道所以現在是談的我們現在討論變今天討論出來變成會有兩筆錢對不對一個是之前就說的3500億是用來改善中油的體質這個是屬於資本投資另外一個是後來後續可能會有公務預算的撥補
transcript.whisperx[347].start 24474.591
transcript.whisperx[347].end 24499.689
transcript.whisperx[347].text 在討論這件事情是不是是這樣嗎 院長這是一個 我剛剛說過融資 讓它低利率的融資或者是撥補 或者是增資都是現在在考慮的那增資的部分除了讓它財務健全之外它必須增設很多的設備 設施包括油氣的一個儲存設施也必須考量在內那這個會增加整個國家的安全儲量好 了解 沒問題好 那接下來一樣還是經濟部的問題這個算比較民生消費一點
transcript.whisperx[348].start 24502.771
transcript.whisperx[348].end 24527.886
transcript.whisperx[348].text 之前國內的車廠當然這國產車是很慘烈啦這個去年前年是因為美國關係所以大家都覺得啊這個車可能會降價都不敢買但是我們國產車廠他們還是有配合經濟部的這個運動運居電動化跟無碳化在去年九月推出了這個ET35的這樣子的電動車的車款這是配合政府政策推出來的這是好事但是呢他九月上市之後我要跟院長報告啊
transcript.whisperx[349].start 24529.99
transcript.whisperx[349].end 24552.076
transcript.whisperx[349].text 11月我們的交通部就說要北台車補貼50萬補助50萬鼓勵民間去採購去買這樣子電動車去做轉型電動的這個這樣的汽車去做轉型發生什麼事情呢人家9月上市備料都備好了都準備好也希望能夠外銷等等的但是因為11月交通部說要補助50萬但是這筆錢其實還沒有變
transcript.whisperx[350].start 24553.997
transcript.whisperx[350].end 24567.733
transcript.whisperx[350].text 現在也還沒有要執行導致什麼如果你要買車的人我們回歸本位自己想想如果今天我要買車這台車現在售價一百萬政府說明年要給我五十萬補助我當然明年才要買結果明年補助沒有下來你會買嗎不會買吧所以
transcript.whisperx[351].start 24570.868
transcript.whisperx[351].end 24586.839
transcript.whisperx[351].text 國產車廠大家配合政府政策去做這樣的事情結果後來政府說要補助但是補助一直還沒有下來也還沒有編運算那現在問說那這個是什麼解決這等於是行政院一片好意沒錯但是你們之間的溝通協調時間出現落差那導致國內產業
transcript.whisperx[352].start 24588.547
transcript.whisperx[352].end 24618.007
transcript.whisperx[352].text 投資下去了那沒辦法交通部給我們的這些應該他已經行政院已經在9月份核定了在114年的時候那115年的時候他就會公告這些補助的一些辦法所以一定會做那這在新年度怎麼辦其實應該這樣講啦如果確定要做的話是不是先就先公讓大家讓民眾知道這事情確定會做那以後要要補貼的人等到你再結算後續再來處理所以他今年年底就會公告
transcript.whisperx[353].start 24619.707
transcript.whisperx[353].end 24642.877
transcript.whisperx[353].text 交通部會將這個電動車的補助交通部現在計畫是編入到明年的預算當中去做補助補助的範圍也會擴大包括電動的大小貨車還有電動的大客車還有電動的所謂三輪的物流機車還有商用的小客車等等還有氫燃料的大客車等等都會把範圍擴大
transcript.whisperx[354].start 24644.826
transcript.whisperx[354].end 24667.456
transcript.whisperx[354].text 我再重複一次我的這個核心問題啦是說人家配合政府政策在去年已經準備上市也就是說上市準備好了但是你要到今年年底你去年先上市人家先上市了然後去年年底你們先公告說要給大家補助但是你們今年才會今年年底才要做這件事情那等於2026年民國115年這整個車這四個季度
transcript.whisperx[355].start 24672.697
transcript.whisperx[355].end 24698.394
transcript.whisperx[355].text 這些配合政府政策的廠商他等於血本無歸他今年營收就沒有了如果委員說這個狀況我們因為情勢是不是有所改變或是當初設想我會請交通部或經濟部我們跟業者去談一談在過程當中需要政府有沒有再做一些政策或是實質上的協助讓他能夠在這段時間之內將這個時間延誤的時間稍微大家有一點提示一點共識我覺得我們應該做這個工程
transcript.whisperx[356].start 24703.037
transcript.whisperx[356].end 24716.908
transcript.whisperx[356].text 我們國內業者相信政府去做了相關的這個政策我們想說還是要給他們一點這個說法不要說大家相信政府然後坐下去之後寫本文這對民間廠商是很大的傷害謝謝委員提醒這件事再來一樣是這個
transcript.whisperx[357].start 24719.144
transcript.whisperx[357].end 24736.481
transcript.whisperx[357].text 民間的很多業者在討論這個事情經濟部3月份的時候有一個無人機產業發展趨勢的報告但是裡面提到呢你們當然是引述國外的媒體的報告說未來10年預估軍用無人機市場會有3.4萬但是第一個
transcript.whisperx[358].start 24737.282
transcript.whisperx[358].end 24766.101
transcript.whisperx[358].text 根據我們自己軍備局想買的明年 明後兩年買的就已經四萬八了好 那根據這個經濟學人的報導去年台灣出口無人機的成長十三二十三點二十三十三十二點三萬台出口主要到捷克跟波蘭這經濟學人的報告所以第一個是說在這個經濟部出版的產業發展趨勢裡面這個數字是不是就有點不太精確會不會有這個問題就是你們報告裡面寫只要只有未來十年三點四萬可是一年 其實基本上一年就超過啦
transcript.whisperx[359].start 24767.074
transcript.whisperx[359].end 24778.652
transcript.whisperx[359].text 這個我就覺得不只那麼少啦應該還要更多啦這個我覺得這個是應該這個比較早期寫的吧這個是今年3月寫出來的沒關係啦我是要提醒我提出來我就說
transcript.whisperx[360].start 24780.051
transcript.whisperx[360].end 24805.554
transcript.whisperx[360].text 因為無人機產業我想是國家未來重點發展的這個產業的政策我覺得數據預估上面還是要精準一點我覺得大家在看這個數據都很認真在看這也是別人拿到之後提供給我請我們過來提醒經濟部因為如果你一開始你經濟部作為主管機關之一如果你的數據你的想法一開始的數字是錯的那你資源的配比政策調整那可能方向也是錯的
transcript.whisperx[361].start 24806.394
transcript.whisperx[361].end 24829.122
transcript.whisperx[361].text 所以我們當然希望說在預估上面要更精確當然你們是引述別人的但是我覺得回到國內自己產業大家會相信經濟部不一定相信媒體可是你經濟部如果出了這份報告那就變成業界的一個指標這個是引用其他的資料來源但是我們可能要付諸一下這個預估可能有點低估
transcript.whisperx[362].start 24830.725
transcript.whisperx[362].end 24856.879
transcript.whisperx[362].text 對這個是要調整的啦好不好我這提前提完那一樣接下來討論這個問題現在台灣無人機產業就是無人機這個產品我們的法律是什麼院長或部長你們知道嗎現在我們當然之前是無人載具是有一個類似沙盒的示範型計畫那現在當然是用一些辦法來做一些規範因為現在還有一個問題無人機現在的管理在民航局
transcript.whisperx[363].start 24858.76
transcript.whisperx[363].end 24869.695
transcript.whisperx[363].text 對所以有很多的禁飛區很多的禁止的限制不管民用軍用都很多禁止的限制那這件事情對於如果這個是我們要做的未來幾年要做的產業政策
transcript.whisperx[364].start 24870.578
transcript.whisperx[364].end 24890.736
transcript.whisperx[364].text 那有這麼多的限制 有這麼多的條條框框的限制有這麼多沒有辦法跟上全球的這個趨勢的這個限制法案限制 法律限制的話有沒有思考過如果經濟部要做這個政策的主導的主管機關是不是要推出專法還是要去跟民航局溝通怎麼樣去解除這些限制包含說什麼120公尺
transcript.whisperx[365].start 24891.557
transcript.whisperx[365].end 24919.378
transcript.whisperx[365].text 還有很多的你去看上網查那些無人機的這個專家玩家都跟我們講他常常跟我們講現在進行區來太多了比一開始公告的還多他等於在任何地方只要是非碰到他就會遇到高額的罰款那對這個產業發展他要視錯任何產業一開始一定有很多視錯的空間吧報告委員因為現在的確行政院有一個跨部會的一個平台在統合這個無人機的一些發展
transcript.whisperx[366].start 24920.267
transcript.whisperx[366].end 24944.344
transcript.whisperx[366].text 那各部會都有參加那各部會相關的這些規定也在裡面做一些討論那也可以適當做一些調整那當然就是說太快去用法律來制定是不是比較好這個我們來考量因為法律有時候訂了當然是一些對這個行業某些的支持跟保障但是有時候反而造成一些限制
transcript.whisperx[367].start 24945.144
transcript.whisperx[367].end 24961.214
transcript.whisperx[367].text 我們現在這邊提出來就是因為無人機他就是會跨就院長在嘛因為我們在交通委員會質詢也沒有用因為他就答應我們現在有一個無人載具的一個管理的一個機制發展跟管理的一個機制那目前我們正在把它優化把它擴大成一個統籌型的計畫
transcript.whisperx[368].start 24962.675
transcript.whisperx[368].end 24989.242
transcript.whisperx[368].text 那交通部也正在優化整個無人機的這個管理的規則那未來朝向什麼樣方式進行我想一方面產業的發展非常非常的迅速那我們要與時俱進能夠把整個全盤性綜合性的考量之後我會請這個相關部會這個計畫呢在院內是由鄭副院長來主持的那我會希望他能夠緊述的有一個更明確的一個規範的一個期程讓業者也有所遵循
transcript.whisperx[369].start 24989.773
transcript.whisperx[369].end 25011.581
transcript.whisperx[369].text 好 院長謝謝因為這個真的是過去確實在前幾年無人機剛問世的時候大家沒有想到它應用這麼廣泛所以那時候確實以管制作為這個立法或者作為這個出發點但是現在如果我們現在確實要做成產業的話我覺得這個限制包含說後面我也會跟院長今天沒有時間但是未來要討論說包含我們的自動駕駛無人車
transcript.whisperx[370].start 25013.582
transcript.whisperx[370].end 25033.764
transcript.whisperx[370].text 等等的這些新科技它的限制現在都是被台灣很多產業是被限制住的它等於沒辦法做實驗它沒有場域可以做當國外都在做那變成落後一點點我們落後很多那你就發現一件事很有趣的一件事情如果關注股票市場台股可以漲這麼多很多都是不管是衛星也好無人車也好各項無人機也好
transcript.whisperx[371].start 25035.285
transcript.whisperx[371].end 25055.417
transcript.whisperx[371].text 都是台廠做的但是我們自己都沒有這個產品都在國外做實驗都在國外去先做了現在有很多的公司已經有成品了對啊但是我沒有地方用啊所以我就說在法律上行政院應該要去面對這些新科技應該是報紙的比較開放的態度而不是用過去限制的方式來做好不好那一樣從產業問題
transcript.whisperx[372].start 25058.19
transcript.whisperx[372].end 25077.212
transcript.whisperx[372].text 現在我們對無人機這個產業主要放在嘉義有個園區但我想台灣就像我們科學園區有竹科中科南科一樣這個產業應該是多多益善有能力整合的區域都應該做比如台中台中這幾年過去這些年不管是航太
transcript.whisperx[373].start 25078.112
transcript.whisperx[373].end 25098.062
transcript.whisperx[373].text 精密機械 台北精密機械有這所謂的全球影響全世界的60公里的一個產業園區吧任何零件開車一小時內一定找得到所以影響了很多全世界各項產業所謂60公里的大陸山這個產業鏈所以我們有精密機械園區我們有航太科技我們有中科有做晶片
transcript.whisperx[374].start 25098.937
transcript.whisperx[374].end 25124.536
transcript.whisperx[374].text 還有很多零件廠商還有很多手工具跟機械廠商所以理論上來講最適合量產發展無人機產業的應該台中也要變成一個園區才對啊我不知道院長或部長對這件事情看法怎麼樣嘉義的雅創一級跟現在進行二級了要進行到二級因為它已經進來的這個廠商非常多二級在開發它已經形成一個無人機的產業聚落但不會因為這樣子就完全會獨現在嘉義裡面
transcript.whisperx[375].start 25126.638
transcript.whisperx[375].end 25148.063
transcript.whisperx[375].text 那其他的地方我想會看看地方上整個產業的特性是不是容易形成這個產業的一個聚落跟產業鏈那嘉義這個我們讓他更成熟之後應該這個經驗可以擴散到其他的地方去因為現在無人機市場在台灣很多的地方都在發展當中包括你剛才提到的
transcript.whisperx[376].start 25148.716
transcript.whisperx[376].end 25175.256
transcript.whisperx[376].text 漢祥事實上就是在台中然後甚至於那個雷虎也是在台中他們也是有一些他的發展特色但是我們不會因為說我們在這個嘉義然後就放棄了其他的發展機會不會這樣子當然不會吧但是我們今天提出來那最主要是因為當初希望有一個地方可以有一個空域來做是非的狀態你總是要剛開始選一個地方
transcript.whisperx[377].start 25176.107
transcript.whisperx[377].end 25200.219
transcript.whisperx[377].text 那剛開始就是選嘉義嘛那時候那個有空間出來嘛那但是如果說未來有更多的可以發展來五分五秒鐘了院長台中也夠大產業也夠多就是也夠綜合性我們還是希望說未來有機會台中也成為無人機量產好謝謝黃建豪委員質詢謝謝卓院長各相關列席各院的備詢謝謝
transcript.whisperx[378].start 25210.933
transcript.whisperx[378].end 25215.738
transcript.whisperx[378].text 好接下來我們請本日口通質詢最後一位委員王定元委員請質詢謝院長麻煩經濟部長跟院長再請總院長經濟部長備詢
transcript.whisperx[379].start 25245.428
transcript.whisperx[379].end 25270.727
transcript.whisperx[379].text 今天最後一個口頭了本席今天要提出一個問題其實是經濟但是會影響國安它是一個基本的產業的數學問題我記得在卓院長跟部長的任內可以提早把這個地雷拆掉造船業對台灣來講是一個很特殊的行業我們的成本比人家貴
transcript.whisperx[380].start 25272.059
transcript.whisperx[380].end 25281.436
transcript.whisperx[380].text 然後我們用國建國造公務船自己造讓我們國內主要的造船業者可以撐著這個量能我待會把營收比給兩位看
transcript.whisperx[381].start 25282.657
transcript.whisperx[381].end 25305.592
transcript.whisperx[381].text 那我們現在不管是在軍艦、海巡艦或者公務船、海撤船等等那個造艦計畫是有個期程的但本席待會告訴兩位根據我們計算出來的數據在2028年沒有很久以後在2028年你就算想要國艦國造發包不出去了造艦量能不夠
transcript.whisperx[382].start 25306.772
transcript.whisperx[382].end 25331.269
transcript.whisperx[382].text 你又不可能委外而那個時候我們不管是國防特別預算防衛任性預算 年度預算到時候要造建沒有人可以幫你造的時候我們會陷入很難解決的困境我相信卓院長到時候還是院長因為也沒地方可以高升啦繼續做但這個問題你要現在解決我第一個給各位講這是個很弔詭的問題我們
transcript.whisperx[383].start 25334.085
transcript.whisperx[383].end 25344.763
transcript.whisperx[383].text 這一個國建國造的第一批專案呢在2026年會結案那結案的應該後面就沒有量了沒有 他這個結案之後後面要開始造一艘一艘這樣造
transcript.whisperx[384].start 25345.916
transcript.whisperx[384].end 25369.515
transcript.whisperx[384].text 那在這個結案之前我們統計我們台灣主要三個大型的造船廠台船它的營收比有60%來自於國艦國造中信85%隆德58%這個提供給兩位做參考也就是在現在台灣的造船業它主要的營收是靠工部門的訂單
transcript.whisperx[385].start 25371.189
transcript.whisperx[385].end 25375.476
transcript.whisperx[385].text 可是我們的成本你如果看最重要的材料鋼板
transcript.whisperx[386].start 25376.929
transcript.whisperx[386].end 25393.734
transcript.whisperx[386].text 我們的鋼板現在全世界鋼板因為中國的產量過剩所以有一個叫做鋼板的成本回落紅利這個鋼板成本回落紅利呢國際從2021年開始它每一噸827塊美元現在跌到2025年的481塊美元這是國際的價格但是我們台灣的鋼價呢
transcript.whisperx[387].start 25405.766
transcript.whisperx[387].end 25425.093
transcript.whisperx[387].text 變成結構性的脫鉤我們現在每噸是1062美元也就是我們國內的鋼板鋼材跟國際的價格呢貴了一倍以上所以成本很高加上我們如果是商船的國造艦商船的話我們大概自製的能量是40%
transcript.whisperx[388].start 25426.593
transcript.whisperx[388].end 25448.293
transcript.whisperx[388].text 如果是軍艦軍規的或海巡的我們國造的能量大概是20%剩下的這些重要的裝備儀器其實是控制在國外的廠商我們國內有點像是廉價的組裝廠所以成本壓不下來然後我的獲利主要是來自於國內的國艦國造第三個數據
transcript.whisperx[389].start 25451.502
transcript.whisperx[389].end 25478.14
transcript.whisperx[389].text 從2023年以台灣的造船業的產業的產值做基礎就算他願意投資每年加5%一直加我們就算出我們需要造艦的頓速產值頓速那跟我們造船業的量能每一年加5%從2023一直加上來就有一個圖表這個院長跟部長可以看在2028年就會產生一個國艦國造
transcript.whisperx[390].start 25480.322
transcript.whisperx[390].end 25492.43
transcript.whisperx[390].text 公務船國造的建造缺口有一塊在那裡那你說為什麼有這個缺口他沒辦法再投資他是靠這個他如果再投資更大的話他跟國際沒有競爭的沒有競爭的優勢
transcript.whisperx[391].start 25494.775
transcript.whisperx[391].end 25515.365
transcript.whisperx[391].text 那我靠國內的國艦國造這三大造船廠我再加大投資我不會合啊我沒有未來啊所以在2028年我們就算預算編了你發包下去國內的造船業接不了單他緊繃啊啦吃飽了撐住了那接下來就是我們的院長這邊是不是要開國計標我們不可能讓中國幫我們造軍艦啊
transcript.whisperx[392].start 25520.057
transcript.whisperx[392].end 25543.324
transcript.whisperx[392].text 所以這一個建造的缺口即將在2027年底2028年出現然後這一個缺口不僅僅是產業的缺口它可能也會形成國安風險的缺口必須現在開始來因應我先請教部長這個問題我相信你經濟各部會你都留過了這個問題有沒有發現
transcript.whisperx[393].start 25547.044
transcript.whisperx[393].end 25574.031
transcript.whisperx[393].text 就是說現在看起來你剛才看到那個營收EPS的話現在台船我們可能還要經過一段時間怎麼樣讓他負擔當然他現在負擔很重沒有錯啦但是就是說負債也很高啊對但是榮德跟中信他們已經有他的我現在不是在管這三家賺不賺錢我現在提的問題是院長跟部長這個經濟部統轄的
transcript.whisperx[394].start 25576.26
transcript.whisperx[394].end 25601.101
transcript.whisperx[394].text 在2028年現在不管是國防特別預算 防衛預算 或者我們年度預算我要造艦啊 國艦國造啊 公務船啊 海巡艦當你要發包的時候 三大造船廠的capacity你把它一算 接不了怎麼辦是 我原看到一個產業跟國安的一個重大問題那我們的海巡造了很多艦
transcript.whisperx[395].start 25602.247
transcript.whisperx[395].end 25616.554
transcript.whisperx[395].text 坦白講 海巡造艦 付錢比海軍阿沙尼國內造的很多 陸續我也會來交艦但是除了造國艦的海巡 海軍的艦艇之外我們造了很多特殊的艦 包括
transcript.whisperx[396].start 25618.274
transcript.whisperx[396].end 25645.674
transcript.whisperx[396].text 台船他造了很多原型艦就沒有後續的第二部第三部像潛艦啊玉山艦啊等等還有很多研究的這個原型艦他沒有辦法做後續的這個市場開發這是問題不過我倒是看到我們國內的三大航運公司啊目前還是在國外造艦表示我們自己的量能是不夠的那個卓院長某某大航運公司在巴拿馬稱過王的他的貨櫃輪是交給韓國做啊是
transcript.whisperx[397].start 25647.728
transcript.whisperx[397].end 25653.964
transcript.whisperx[397].text 你不能怪他啊價格差很多啊所以我剛才把這三個其實我整個報表不只三個我時間的問題
transcript.whisperx[398].start 25655.632
transcript.whisperx[398].end 25677.668
transcript.whisperx[398].text 我們國內的造船業成本比人家貴我60%到80%那些儀器靠國外價格我自己不能控制然後呢我現在靠國建國造撐著讓我營收佔了60%到80%是靠他撐著那我撐著就撐著我就算每年增加5%算很有良心的我不可能再增加一倍兩倍的產線嘛
transcript.whisperx[399].start 25679.079
transcript.whisperx[399].end 25707.696
transcript.whisperx[399].text 可是我們現在造艦的量能是有計畫性的海軍的造艦計畫不管是六大造艦計畫或幾大造艦計畫或海巡的造艦計畫那個頓速算得出來我就用那個頓速去除這個才算出這個缺口我現在的問題是這個缺口即將產生一年多以後我們該怎麼辦我提供一些我今天不是來考試而是說這個問題要解決他山之石啦看一下各國的各國的方式
transcript.whisperx[400].start 25708.655
transcript.whisperx[400].end 25730.307
transcript.whisperx[400].text 像在主要的造船國台灣、中國、韓國、日本、新加坡、印尼、土耳其這些都有在造船那有五種做法一種叫直接造船補貼那中國有這麼做那其他這個N、A就是不適用其他國家不必有然後呢融資跟這個付稅優惠中國、韓國有
transcript.whisperx[401].start 25733.809
transcript.whisperx[401].end 25750.514
transcript.whisperx[401].text 研發補貼日本韓國有然後船廠的設備補貼韓國日本印度土耳其有然後國艦國造也就是公務船國造幾乎都有除了新加坡因為新加坡的附地比較小
transcript.whisperx[402].start 25752.514
transcript.whisperx[402].end 25777.872
transcript.whisperx[402].text 幾乎所有的造船國都有 所以台灣只有這一塊有其他不管是研發補貼 船廠補貼 設備補貼 融資 稅賦等等我們大概都沒有所以這個做法我不是說我們一定要完全採用因為像中國採取的這個稅賦啦 跟直接補貼這一個美國301調查現在在查他啦搞不好會被罰很重 他也不怕因為他佔了造船量能很大的比例啦所以這五個做法
transcript.whisperx[403].start 25778.712
transcript.whisperx[403].end 25794.575
transcript.whisperx[403].text 部長我們部裡面有沒有討論過針對台灣的造船業如果是講剛剛您提到的國建國造這個訂單嘛然後另外照理說研發補貼我們一直有這樣的方案那我再回去看看他們有沒有提
transcript.whisperx[404].start 25795.126
transcript.whisperx[404].end 25811.135
transcript.whisperx[404].text 什麼樣的研發計畫研發是有可以補貼的我再強調一次我今天第一次把問題提出來解決能力是在行政部門我不是來考試因為這是一個問題這個問題其實在海軍在造船界已經挨著顧了
transcript.whisperx[405].start 25811.835
transcript.whisperx[405].end 25836.454
transcript.whisperx[405].text 一直沒有得到解方然後我明明看到時間滴答滴答越來越靠近2028又到了所以你看剛才部長提的很對我們在國建國造其實我們國家有相關的補貼國建國造提供了產業的誘因就像我們現在在無人機希望有國家的訂單促進產業的誘因對不對我今天提到的問題是當國家提出產業的誘因業界接不了單造船業是這樣子
transcript.whisperx[406].start 25837.435
transcript.whisperx[406].end 25855.201
transcript.whisperx[406].text 無人機會不會這樣子我們以後再談所以第二個表格給兩位看有關公務船國造也就是國艦國造的部分其實你看第一排就好了各國都是統籌中國由中央軍委會裝備發展部
transcript.whisperx[407].start 25859.406
transcript.whisperx[407].end 25879.373
transcript.whisperx[407].text 韓國是DAPA是他們的防衛事業廳日本呢跟台灣一樣新加坡呢是DSTA然後印尼呢是KKIP土耳其是SSB就是說這些國家都有一個統籌單位做什麼事情呢對我知道你造船造不出來或者你造船做黑卡赫坦軍艦海軍付錢比較
transcript.whisperx[408].start 25883.117
transcript.whisperx[408].end 25904.573
transcript.whisperx[408].text 比較慢海巡付錢比較阿沙里他不讓你這樣做他有一個國家的統籌機制調度資源分配優先順序你懂我意思嗎就是說在其他各國推動國艦國造帶動需求的時候他會有一個統籌單位把他們國家內部的造船量能
transcript.whisperx[409].start 25905.353
transcript.whisperx[409].end 25922.724
transcript.whisperx[409].text 造船資源我們國家公帑的誘因做統籌的分配跟引導讓最需要的艦先造不好你讓他自由選擇都會造容易造的好勤款的驗收不麻煩的傻瓜被逼著才去造潛艦
transcript.whisperx[410].start 25924.784
transcript.whisperx[410].end 25948.113
transcript.whisperx[410].text 被逼的才會去造潛艦預算前景未明立法院也不見得給你然後造了原型艦後面有沒有不知道我不如多造一些這一個三千噸級的安平級的艦那個很穩定藍圖很簡單所以我們目前台灣跟日本可是日本外購也容易日本他們的造船業有數百年的歷史我們的體質不太一樣
transcript.whisperx[411].start 25949.332
transcript.whisperx[411].end 25966.771
transcript.whisperx[411].text 台灣大概是這幾個主要造船國沒有針對公務船國艦國造統籌單位分配資源決定優先數據我們大概是唯一扣掉日本的話所以就以上這個部分是不是請院長做個統一的回答
transcript.whisperx[412].start 25967.031
transcript.whisperx[412].end 25996.292
transcript.whisperx[412].text 非常謝謝委員提出這個想法我想國建國造的這個政策跟這個做法我們一定會持續下去的這就是國家安全國家國防能力的問題那在這個量能如果足夠的時候我們如何讓我們的國內的其他行商也能回到國內來造建這是第二個問題那第一個剛剛談到的國建國造的過程當中委員所提出的這個建議非常好我覺得我們應該有個統籌的機制把這個當作一個大市場來看而不是把它
transcript.whisperx[413].start 25997.032
transcript.whisperx[413].end 26018.792
transcript.whisperx[413].text 所以分割了把它區別了實際上我還有一題地方的題目這一題我們是不是可以期待半年內可以看到你們回覆本席好我們來檢討這樣的機制那其實你要國外的船商或者我們的國家的國籍的船訂單留在國內你的成本我們就有一些研發然後再來通通丟給國內做我就告訴你根本做不出來
transcript.whisperx[414].start 26019.912
transcript.whisperx[414].end 26044.939
transcript.whisperx[414].text 光國建國造到2028年就有問題所以這兩個問題其實很有意思看起來有訂單你為什麼不做咧你東西比較貴量衝單應該降下來這是互相咬住的所以請院長跟部長年底以前我不給你什麼一個月兩個月因為這是很大的問題年底以前有提出解決方案那我們2027年就可以檢驗2028年就可以紓緩或者優先順序排出來這幾種延後這幾種優先這個是
transcript.whisperx[415].start 26046.659
transcript.whisperx[415].end 26071.665
transcript.whisperx[415].text 我今天質詢這一題它既是經濟議題也是國安議題啦接下來我要請教一個很簡單的題目最近台南市政府撤回了在內政部國土計畫審議會議裡面針對沙崙農場國土功能分區調整案撤回了城鄉發展地區第二之三類的調整案然後呢
transcript.whisperx[416].start 26072.908
transcript.whisperx[416].end 26096.443
transcript.whisperx[416].text 這一個台南市政府還補充說撤回這個案子的時候呢等國科會相關計畫走完之後再依據整體評估進行發展定位外地人可能不了解在地人就知道這個題目很重要為什麼這攸關著原來的沙崙健康園區沙崙生態科學園區也就是南科四期AI半導體的發展所以我這個題目就一題問院長
transcript.whisperx[417].start 26098.737
transcript.whisperx[417].end 26108.736
transcript.whisperx[417].text 那對於目前行政院跟賴清德總統致力將歸人沙輪建構為AI跟先進半導體的生產製造中心的目標跟其成是否有改變
transcript.whisperx[418].start 26110.206
transcript.whisperx[418].end 26136.269
transcript.whisperx[418].text 這個撤回會不會影響?跟委員報告今天這裡結束質詢之後我們回去院內就要討論到這個相關的問題我再把結論跟委員做說明會不會改變?我們希望已經訂定的目標期程要克服現在當地所有的一些生態等等的問題當然有很多問題在生態確保無虞然後發展這個這個是我們的共識所以它叫生態園區我們就是要解決這個問題去克服這個問題台南市政府撤回並不代表這個案子不見了
transcript.whisperx[419].start 26137.947
transcript.whisperx[419].end 26148.681
transcript.whisperx[419].text 我們等一下會把它討論好這個我們地方非常關切因為這個案子衍生出來的那四大項的交通建設現在兩兩合併我也希望盡快看到院裡面可以合併下來
transcript.whisperx[420].start 26157.15
transcript.whisperx[420].end 26175.59
transcript.whisperx[420].text 接下來第八位高精素美委員質詢以書面提出請行政院書面答覆並列入紀錄刊登公報報院會我們本日排定質詢的委員已經質詢完畢謝謝卓院長以及相關部會首長列席的答詢我們現在做以下決定
transcript.whisperx[421].start 26176.894
transcript.whisperx[421].end 26194.006
transcript.whisperx[421].text 下次会议继续进行经济组织咨询4月21号星期二上午9点继续开会进行115年度中央政府总预算编制经过报告并备咨询今天谢谢洪玉祥委员也谢谢我们卢宪一委员陪同我们一起参与咨询我们现在休息