iVOD / 17466

Field Value
IVOD_ID 17466
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/17466
日期 2026-05-26
會議資料.會議代碼 院會-11-5-11
會議資料.會議代碼:str 第11屆第5會期第11次會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 11
會議資料.種類 院會
會議資料.標題 第11屆第5會期第11次會議
影片種類 Full
開始時間 2026-05-26T08:31:24+08:00
結束時間 2026-05-26T11:59:00+08:00
影片長度 03:27:36
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a609e72e627bf03b4b344182d8c913e7f3e3601341028818003df430b5118f7716b35ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2026-05-26T09:00:00+08:00
會議名稱 第11屆第5會期第11次會議(事由:一、討論事項:本院國民黨黨團、台灣民眾黨黨團,建請院會作成決議:「邀請行政院院長應即率同大陸委員會、國防部、外交部及經濟部等相關部會首長就『川習會後台美與兩岸局勢變局、國安戰略、外交困境、經貿衝擊等之因應對策』進行專案報告並備質詢。」是否有當?請公決案等2案。二、對行政院院長提出施政方針及施政報告繼續質詢。三、5月22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 08:31:24 - 11:59:00
transcript.pyannote[0].speaker SPEAKER_12
transcript.pyannote[0].start 1724.11596875
transcript.pyannote[0].end 1726.37721875
transcript.pyannote[1].speaker SPEAKER_12
transcript.pyannote[1].start 1726.59659375
transcript.pyannote[1].end 1740.78846875
transcript.pyannote[2].speaker SPEAKER_05
transcript.pyannote[2].start 1748.16284375
transcript.pyannote[2].end 1748.97284375
transcript.pyannote[3].speaker SPEAKER_05
transcript.pyannote[3].start 1749.32721875
transcript.pyannote[3].end 1750.76159375
transcript.pyannote[4].speaker SPEAKER_05
transcript.pyannote[4].start 1751.21721875
transcript.pyannote[4].end 1751.92596875
transcript.pyannote[5].speaker SPEAKER_12
transcript.pyannote[5].start 1752.73596875
transcript.pyannote[5].end 1754.17034375
transcript.pyannote[6].speaker SPEAKER_14
transcript.pyannote[6].start 1769.17221875
transcript.pyannote[6].end 1769.18909375
transcript.pyannote[7].speaker SPEAKER_05
transcript.pyannote[7].start 1769.18909375
transcript.pyannote[7].end 1769.74596875
transcript.pyannote[8].speaker SPEAKER_05
transcript.pyannote[8].start 1769.89784375
transcript.pyannote[8].end 1771.51784375
transcript.pyannote[9].speaker SPEAKER_05
transcript.pyannote[9].start 1771.75409375
transcript.pyannote[9].end 1774.79159375
transcript.pyannote[10].speaker SPEAKER_05
transcript.pyannote[10].start 1775.33159375
transcript.pyannote[10].end 1782.48659375
transcript.pyannote[11].speaker SPEAKER_05
transcript.pyannote[11].start 1782.60471875
transcript.pyannote[11].end 1783.78596875
transcript.pyannote[12].speaker SPEAKER_05
transcript.pyannote[12].start 1784.10659375
transcript.pyannote[12].end 1785.57471875
transcript.pyannote[13].speaker SPEAKER_05
transcript.pyannote[13].start 1785.79409375
transcript.pyannote[13].end 1788.20721875
transcript.pyannote[14].speaker SPEAKER_05
transcript.pyannote[14].start 1788.71346875
transcript.pyannote[14].end 1793.35409375
transcript.pyannote[15].speaker SPEAKER_05
transcript.pyannote[15].start 1793.69159375
transcript.pyannote[15].end 1796.69534375
transcript.pyannote[16].speaker SPEAKER_05
transcript.pyannote[16].start 1796.93159375
transcript.pyannote[16].end 1803.79971875
transcript.pyannote[17].speaker SPEAKER_08
transcript.pyannote[17].start 1802.02784375
transcript.pyannote[17].end 1802.04471875
transcript.pyannote[18].speaker SPEAKER_05
transcript.pyannote[18].start 1803.96846875
transcript.pyannote[18].end 1812.67596875
transcript.pyannote[19].speaker SPEAKER_14
transcript.pyannote[19].start 1812.84471875
transcript.pyannote[19].end 1851.62346875
transcript.pyannote[20].speaker SPEAKER_05
transcript.pyannote[20].start 1816.74284375
transcript.pyannote[20].end 1816.86096875
transcript.pyannote[21].speaker SPEAKER_14
transcript.pyannote[21].start 1852.06221875
transcript.pyannote[21].end 1852.09596875
transcript.pyannote[22].speaker SPEAKER_05
transcript.pyannote[22].start 1852.09596875
transcript.pyannote[22].end 1852.11284375
transcript.pyannote[23].speaker SPEAKER_14
transcript.pyannote[23].start 1852.11284375
transcript.pyannote[23].end 1852.45034375
transcript.pyannote[24].speaker SPEAKER_05
transcript.pyannote[24].start 1852.45034375
transcript.pyannote[24].end 1886.18346875
transcript.pyannote[25].speaker SPEAKER_14
transcript.pyannote[25].start 1853.17596875
transcript.pyannote[25].end 1853.24346875
transcript.pyannote[26].speaker SPEAKER_14
transcript.pyannote[26].start 1853.26034375
transcript.pyannote[26].end 1854.28971875
transcript.pyannote[27].speaker SPEAKER_00
transcript.pyannote[27].start 1863.13221875
transcript.pyannote[27].end 1863.50346875
transcript.pyannote[28].speaker SPEAKER_03
transcript.pyannote[28].start 1885.62659375
transcript.pyannote[28].end 1886.48721875
transcript.pyannote[29].speaker SPEAKER_05
transcript.pyannote[29].start 1886.68971875
transcript.pyannote[29].end 1889.30534375
transcript.pyannote[30].speaker SPEAKER_05
transcript.pyannote[30].start 1889.67659375
transcript.pyannote[30].end 1890.92534375
transcript.pyannote[31].speaker SPEAKER_05
transcript.pyannote[31].start 1891.16159375
transcript.pyannote[31].end 1892.84909375
transcript.pyannote[32].speaker SPEAKER_05
transcript.pyannote[32].start 1893.27096875
transcript.pyannote[32].end 1893.81096875
transcript.pyannote[33].speaker SPEAKER_05
transcript.pyannote[33].start 1894.63784375
transcript.pyannote[33].end 1906.26471875
transcript.pyannote[34].speaker SPEAKER_02
transcript.pyannote[34].start 1904.10471875
transcript.pyannote[34].end 1904.86409375
transcript.pyannote[35].speaker SPEAKER_05
transcript.pyannote[35].start 1906.83846875
transcript.pyannote[35].end 1920.20346875
transcript.pyannote[36].speaker SPEAKER_05
transcript.pyannote[36].start 1920.37221875
transcript.pyannote[36].end 1928.97846875
transcript.pyannote[37].speaker SPEAKER_14
transcript.pyannote[37].start 1929.18096875
transcript.pyannote[37].end 1932.80909375
transcript.pyannote[38].speaker SPEAKER_05
transcript.pyannote[38].start 1932.80909375
transcript.pyannote[38].end 1945.19534375
transcript.pyannote[39].speaker SPEAKER_05
transcript.pyannote[39].start 1946.07284375
transcript.pyannote[39].end 1951.79346875
transcript.pyannote[40].speaker SPEAKER_14
transcript.pyannote[40].start 1951.79346875
transcript.pyannote[40].end 1952.65409375
transcript.pyannote[41].speaker SPEAKER_14
transcript.pyannote[41].start 1952.83971875
transcript.pyannote[41].end 1952.85659375
transcript.pyannote[42].speaker SPEAKER_05
transcript.pyannote[42].start 1952.85659375
transcript.pyannote[42].end 1952.97471875
transcript.pyannote[43].speaker SPEAKER_14
transcript.pyannote[43].start 1952.97471875
transcript.pyannote[43].end 1953.02534375
transcript.pyannote[44].speaker SPEAKER_05
transcript.pyannote[44].start 1953.02534375
transcript.pyannote[44].end 1953.27846875
transcript.pyannote[45].speaker SPEAKER_14
transcript.pyannote[45].start 1953.27846875
transcript.pyannote[45].end 1954.44284375
transcript.pyannote[46].speaker SPEAKER_05
transcript.pyannote[46].start 1954.88159375
transcript.pyannote[46].end 1956.43409375
transcript.pyannote[47].speaker SPEAKER_05
transcript.pyannote[47].start 1956.94034375
transcript.pyannote[47].end 1957.44659375
transcript.pyannote[48].speaker SPEAKER_05
transcript.pyannote[48].start 1958.02034375
transcript.pyannote[48].end 1960.06221875
transcript.pyannote[49].speaker SPEAKER_05
transcript.pyannote[49].start 1960.38284375
transcript.pyannote[49].end 1960.82159375
transcript.pyannote[50].speaker SPEAKER_05
transcript.pyannote[50].start 1961.36159375
transcript.pyannote[50].end 1965.14159375
transcript.pyannote[51].speaker SPEAKER_05
transcript.pyannote[51].start 1965.46221875
transcript.pyannote[51].end 1976.12721875
transcript.pyannote[52].speaker SPEAKER_05
transcript.pyannote[52].start 1976.19471875
transcript.pyannote[52].end 1981.99971875
transcript.pyannote[53].speaker SPEAKER_05
transcript.pyannote[53].start 1982.30346875
transcript.pyannote[53].end 1987.66971875
transcript.pyannote[54].speaker SPEAKER_14
transcript.pyannote[54].start 1986.42096875
transcript.pyannote[54].end 1986.74159375
transcript.pyannote[55].speaker SPEAKER_14
transcript.pyannote[55].start 1987.66971875
transcript.pyannote[55].end 1987.68659375
transcript.pyannote[56].speaker SPEAKER_05
transcript.pyannote[56].start 1987.68659375
transcript.pyannote[56].end 1987.80471875
transcript.pyannote[57].speaker SPEAKER_14
transcript.pyannote[57].start 1987.80471875
transcript.pyannote[57].end 1987.90596875
transcript.pyannote[58].speaker SPEAKER_05
transcript.pyannote[58].start 1987.90596875
transcript.pyannote[58].end 1988.07471875
transcript.pyannote[59].speaker SPEAKER_14
transcript.pyannote[59].start 1987.95659375
transcript.pyannote[59].end 1988.09159375
transcript.pyannote[60].speaker SPEAKER_05
transcript.pyannote[60].start 1988.09159375
transcript.pyannote[60].end 1989.72846875
transcript.pyannote[61].speaker SPEAKER_14
transcript.pyannote[61].start 1989.72846875
transcript.pyannote[61].end 2005.06784375
transcript.pyannote[62].speaker SPEAKER_05
transcript.pyannote[62].start 1998.43596875
transcript.pyannote[62].end 2001.15284375
transcript.pyannote[63].speaker SPEAKER_05
transcript.pyannote[63].start 2001.25409375
transcript.pyannote[63].end 2002.14846875
transcript.pyannote[64].speaker SPEAKER_05
transcript.pyannote[64].start 2002.75596875
transcript.pyannote[64].end 2004.34221875
transcript.pyannote[65].speaker SPEAKER_05
transcript.pyannote[65].start 2004.66284375
transcript.pyannote[65].end 2010.21471875
transcript.pyannote[66].speaker SPEAKER_14
transcript.pyannote[66].start 2007.78471875
transcript.pyannote[66].end 2036.55659375
transcript.pyannote[67].speaker SPEAKER_05
transcript.pyannote[67].start 2012.12159375
transcript.pyannote[67].end 2015.93534375
transcript.pyannote[68].speaker SPEAKER_13
transcript.pyannote[68].start 2015.93534375
transcript.pyannote[68].end 2016.01971875
transcript.pyannote[69].speaker SPEAKER_16
transcript.pyannote[69].start 2017.82534375
transcript.pyannote[69].end 2018.17971875
transcript.pyannote[70].speaker SPEAKER_08
transcript.pyannote[70].start 2018.17971875
transcript.pyannote[70].end 2018.21346875
transcript.pyannote[71].speaker SPEAKER_08
transcript.pyannote[71].start 2021.65596875
transcript.pyannote[71].end 2023.83284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 2026.65096875
transcript.pyannote[72].end 2026.66784375
transcript.pyannote[73].speaker SPEAKER_08
transcript.pyannote[73].start 2026.66784375
transcript.pyannote[73].end 2027.25846875
transcript.pyannote[74].speaker SPEAKER_00
transcript.pyannote[74].start 2028.10221875
transcript.pyannote[74].end 2028.59159375
transcript.pyannote[75].speaker SPEAKER_05
transcript.pyannote[75].start 2036.55659375
transcript.pyannote[75].end 2052.82409375
transcript.pyannote[76].speaker SPEAKER_14
transcript.pyannote[76].start 2037.51846875
transcript.pyannote[76].end 2039.20596875
transcript.pyannote[77].speaker SPEAKER_05
transcript.pyannote[77].start 2053.61721875
transcript.pyannote[77].end 2058.96659375
transcript.pyannote[78].speaker SPEAKER_05
transcript.pyannote[78].start 2059.05096875
transcript.pyannote[78].end 2059.84409375
transcript.pyannote[79].speaker SPEAKER_05
transcript.pyannote[79].start 2060.51909375
transcript.pyannote[79].end 2067.16784375
transcript.pyannote[80].speaker SPEAKER_14
transcript.pyannote[80].start 2067.16784375
transcript.pyannote[80].end 2067.28596875
transcript.pyannote[81].speaker SPEAKER_05
transcript.pyannote[81].start 2067.28596875
transcript.pyannote[81].end 2068.02846875
transcript.pyannote[82].speaker SPEAKER_14
transcript.pyannote[82].start 2068.02846875
transcript.pyannote[82].end 2076.60096875
transcript.pyannote[83].speaker SPEAKER_05
transcript.pyannote[83].start 2076.60096875
transcript.pyannote[83].end 2088.10971875
transcript.pyannote[84].speaker SPEAKER_14
transcript.pyannote[84].start 2081.88284375
transcript.pyannote[84].end 2082.01784375
transcript.pyannote[85].speaker SPEAKER_05
transcript.pyannote[85].start 2088.49784375
transcript.pyannote[85].end 2089.24034375
transcript.pyannote[86].speaker SPEAKER_05
transcript.pyannote[86].start 2089.44284375
transcript.pyannote[86].end 2100.37784375
transcript.pyannote[87].speaker SPEAKER_12
transcript.pyannote[87].start 2100.37784375
transcript.pyannote[87].end 2100.91784375
transcript.pyannote[88].speaker SPEAKER_05
transcript.pyannote[88].start 2100.91784375
transcript.pyannote[88].end 2104.24221875
transcript.pyannote[89].speaker SPEAKER_12
transcript.pyannote[89].start 2100.93471875
transcript.pyannote[89].end 2101.00221875
transcript.pyannote[90].speaker SPEAKER_12
transcript.pyannote[90].start 2102.35221875
transcript.pyannote[90].end 2103.34784375
transcript.pyannote[91].speaker SPEAKER_12
transcript.pyannote[91].start 2105.42346875
transcript.pyannote[91].end 2106.87471875
transcript.pyannote[92].speaker SPEAKER_07
transcript.pyannote[92].start 2115.63284375
transcript.pyannote[92].end 2116.20659375
transcript.pyannote[93].speaker SPEAKER_05
transcript.pyannote[93].start 2116.66221875
transcript.pyannote[93].end 2118.23159375
transcript.pyannote[94].speaker SPEAKER_05
transcript.pyannote[94].start 2118.40034375
transcript.pyannote[94].end 2154.64784375
transcript.pyannote[95].speaker SPEAKER_11
transcript.pyannote[95].start 2144.74221875
transcript.pyannote[95].end 2145.60284375
transcript.pyannote[96].speaker SPEAKER_07
transcript.pyannote[96].start 2154.81659375
transcript.pyannote[96].end 2156.48721875
transcript.pyannote[97].speaker SPEAKER_05
transcript.pyannote[97].start 2155.87971875
transcript.pyannote[97].end 2157.92159375
transcript.pyannote[98].speaker SPEAKER_07
transcript.pyannote[98].start 2158.12409375
transcript.pyannote[98].end 2161.24596875
transcript.pyannote[99].speaker SPEAKER_05
transcript.pyannote[99].start 2160.08159375
transcript.pyannote[99].end 2166.98346875
transcript.pyannote[100].speaker SPEAKER_07
transcript.pyannote[100].start 2167.59096875
transcript.pyannote[100].end 2173.32846875
transcript.pyannote[101].speaker SPEAKER_05
transcript.pyannote[101].start 2171.65784375
transcript.pyannote[101].end 2178.93096875
transcript.pyannote[102].speaker SPEAKER_07
transcript.pyannote[102].start 2179.03221875
transcript.pyannote[102].end 2179.55534375
transcript.pyannote[103].speaker SPEAKER_05
transcript.pyannote[103].start 2179.70721875
transcript.pyannote[103].end 2182.94721875
transcript.pyannote[104].speaker SPEAKER_07
transcript.pyannote[104].start 2183.18346875
transcript.pyannote[104].end 2197.18971875
transcript.pyannote[105].speaker SPEAKER_08
transcript.pyannote[105].start 2195.60346875
transcript.pyannote[105].end 2195.62034375
transcript.pyannote[106].speaker SPEAKER_05
transcript.pyannote[106].start 2195.62034375
transcript.pyannote[106].end 2210.38596875
transcript.pyannote[107].speaker SPEAKER_08
transcript.pyannote[107].start 2210.38596875
transcript.pyannote[107].end 2210.80784375
transcript.pyannote[108].speaker SPEAKER_05
transcript.pyannote[108].start 2210.55471875
transcript.pyannote[108].end 2218.06409375
transcript.pyannote[109].speaker SPEAKER_05
transcript.pyannote[109].start 2218.80659375
transcript.pyannote[109].end 2228.91471875
transcript.pyannote[110].speaker SPEAKER_05
transcript.pyannote[110].start 2229.30284375
transcript.pyannote[110].end 2239.42784375
transcript.pyannote[111].speaker SPEAKER_05
transcript.pyannote[111].start 2239.76534375
transcript.pyannote[111].end 2241.97596875
transcript.pyannote[112].speaker SPEAKER_07
transcript.pyannote[112].start 2241.97596875
transcript.pyannote[112].end 2242.97159375
transcript.pyannote[113].speaker SPEAKER_05
transcript.pyannote[113].start 2242.73534375
transcript.pyannote[113].end 2243.73096875
transcript.pyannote[114].speaker SPEAKER_07
transcript.pyannote[114].start 2244.06846875
transcript.pyannote[114].end 2250.46409375
transcript.pyannote[115].speaker SPEAKER_05
transcript.pyannote[115].start 2248.81034375
transcript.pyannote[115].end 2251.71284375
transcript.pyannote[116].speaker SPEAKER_07
transcript.pyannote[116].start 2252.16846875
transcript.pyannote[116].end 2259.98159375
transcript.pyannote[117].speaker SPEAKER_05
transcript.pyannote[117].start 2259.96471875
transcript.pyannote[117].end 2263.25534375
transcript.pyannote[118].speaker SPEAKER_07
transcript.pyannote[118].start 2259.99846875
transcript.pyannote[118].end 2260.01534375
transcript.pyannote[119].speaker SPEAKER_05
transcript.pyannote[119].start 2263.60971875
transcript.pyannote[119].end 2268.99284375
transcript.pyannote[120].speaker SPEAKER_05
transcript.pyannote[120].start 2269.56659375
transcript.pyannote[120].end 2287.75784375
transcript.pyannote[121].speaker SPEAKER_05
transcript.pyannote[121].start 2287.99409375
transcript.pyannote[121].end 2290.76159375
transcript.pyannote[122].speaker SPEAKER_05
transcript.pyannote[122].start 2291.26784375
transcript.pyannote[122].end 2293.44471875
transcript.pyannote[123].speaker SPEAKER_07
transcript.pyannote[123].start 2294.18721875
transcript.pyannote[123].end 2294.55846875
transcript.pyannote[124].speaker SPEAKER_05
transcript.pyannote[124].start 2294.55846875
transcript.pyannote[124].end 2295.11534375
transcript.pyannote[125].speaker SPEAKER_07
transcript.pyannote[125].start 2296.24596875
transcript.pyannote[125].end 2297.30909375
transcript.pyannote[126].speaker SPEAKER_05
transcript.pyannote[126].start 2297.68034375
transcript.pyannote[126].end 2300.39721875
transcript.pyannote[127].speaker SPEAKER_05
transcript.pyannote[127].start 2300.70096875
transcript.pyannote[127].end 2308.29471875
transcript.pyannote[128].speaker SPEAKER_05
transcript.pyannote[128].start 2308.61534375
transcript.pyannote[128].end 2312.46284375
transcript.pyannote[129].speaker SPEAKER_07
transcript.pyannote[129].start 2312.02409375
transcript.pyannote[129].end 2332.61159375
transcript.pyannote[130].speaker SPEAKER_05
transcript.pyannote[130].start 2332.61159375
transcript.pyannote[130].end 2351.46096875
transcript.pyannote[131].speaker SPEAKER_05
transcript.pyannote[131].start 2352.16971875
transcript.pyannote[131].end 2384.80596875
transcript.pyannote[132].speaker SPEAKER_07
transcript.pyannote[132].start 2384.92409375
transcript.pyannote[132].end 2389.85159375
transcript.pyannote[133].speaker SPEAKER_05
transcript.pyannote[133].start 2387.80971875
transcript.pyannote[133].end 2387.97846875
transcript.pyannote[134].speaker SPEAKER_05
transcript.pyannote[134].start 2388.48471875
transcript.pyannote[134].end 2389.39596875
transcript.pyannote[135].speaker SPEAKER_05
transcript.pyannote[135].start 2389.85159375
transcript.pyannote[135].end 2389.96971875
transcript.pyannote[136].speaker SPEAKER_07
transcript.pyannote[136].start 2389.96971875
transcript.pyannote[136].end 2389.98659375
transcript.pyannote[137].speaker SPEAKER_05
transcript.pyannote[137].start 2389.98659375
transcript.pyannote[137].end 2390.12159375
transcript.pyannote[138].speaker SPEAKER_07
transcript.pyannote[138].start 2390.12159375
transcript.pyannote[138].end 2394.47534375
transcript.pyannote[139].speaker SPEAKER_05
transcript.pyannote[139].start 2392.45034375
transcript.pyannote[139].end 2395.36971875
transcript.pyannote[140].speaker SPEAKER_07
transcript.pyannote[140].start 2395.04909375
transcript.pyannote[140].end 2399.26784375
transcript.pyannote[141].speaker SPEAKER_05
transcript.pyannote[141].start 2397.98534375
transcript.pyannote[141].end 2405.15721875
transcript.pyannote[142].speaker SPEAKER_07
transcript.pyannote[142].start 2400.76971875
transcript.pyannote[142].end 2401.46159375
transcript.pyannote[143].speaker SPEAKER_07
transcript.pyannote[143].start 2404.54971875
transcript.pyannote[143].end 2405.08971875
transcript.pyannote[144].speaker SPEAKER_07
transcript.pyannote[144].start 2405.35971875
transcript.pyannote[144].end 2409.05534375
transcript.pyannote[145].speaker SPEAKER_05
transcript.pyannote[145].start 2408.86971875
transcript.pyannote[145].end 2416.14284375
transcript.pyannote[146].speaker SPEAKER_07
transcript.pyannote[146].start 2416.14284375
transcript.pyannote[146].end 2428.90034375
transcript.pyannote[147].speaker SPEAKER_05
transcript.pyannote[147].start 2416.39596875
transcript.pyannote[147].end 2416.96971875
transcript.pyannote[148].speaker SPEAKER_05
transcript.pyannote[148].start 2428.02284375
transcript.pyannote[148].end 2437.45596875
transcript.pyannote[149].speaker SPEAKER_08
transcript.pyannote[149].start 2437.45596875
transcript.pyannote[149].end 2437.91159375
transcript.pyannote[150].speaker SPEAKER_05
transcript.pyannote[150].start 2437.70909375
transcript.pyannote[150].end 2449.04909375
transcript.pyannote[151].speaker SPEAKER_07
transcript.pyannote[151].start 2449.04909375
transcript.pyannote[151].end 2454.98909375
transcript.pyannote[152].speaker SPEAKER_05
transcript.pyannote[152].start 2454.19596875
transcript.pyannote[152].end 2457.04784375
transcript.pyannote[153].speaker SPEAKER_05
transcript.pyannote[153].start 2457.23346875
transcript.pyannote[153].end 2460.60846875
transcript.pyannote[154].speaker SPEAKER_07
transcript.pyannote[154].start 2457.25034375
transcript.pyannote[154].end 2458.63409375
transcript.pyannote[155].speaker SPEAKER_07
transcript.pyannote[155].start 2460.20346875
transcript.pyannote[155].end 2469.60284375
transcript.pyannote[156].speaker SPEAKER_05
transcript.pyannote[156].start 2468.42159375
transcript.pyannote[156].end 2473.85534375
transcript.pyannote[157].speaker SPEAKER_05
transcript.pyannote[157].start 2474.17596875
transcript.pyannote[157].end 2481.28034375
transcript.pyannote[158].speaker SPEAKER_07
transcript.pyannote[158].start 2481.28034375
transcript.pyannote[158].end 2495.92784375
transcript.pyannote[159].speaker SPEAKER_05
transcript.pyannote[159].start 2484.94221875
transcript.pyannote[159].end 2485.29659375
transcript.pyannote[160].speaker SPEAKER_16
transcript.pyannote[160].start 2485.29659375
transcript.pyannote[160].end 2485.46534375
transcript.pyannote[161].speaker SPEAKER_08
transcript.pyannote[161].start 2485.46534375
transcript.pyannote[161].end 2485.48221875
transcript.pyannote[162].speaker SPEAKER_05
transcript.pyannote[162].start 2485.48221875
transcript.pyannote[162].end 2486.68034375
transcript.pyannote[163].speaker SPEAKER_08
transcript.pyannote[163].start 2486.68034375
transcript.pyannote[163].end 2486.73096875
transcript.pyannote[164].speaker SPEAKER_05
transcript.pyannote[164].start 2486.73096875
transcript.pyannote[164].end 2487.30471875
transcript.pyannote[165].speaker SPEAKER_05
transcript.pyannote[165].start 2488.38471875
transcript.pyannote[165].end 2488.82346875
transcript.pyannote[166].speaker SPEAKER_05
transcript.pyannote[166].start 2494.22346875
transcript.pyannote[166].end 2497.51409375
transcript.pyannote[167].speaker SPEAKER_05
transcript.pyannote[167].start 2497.69971875
transcript.pyannote[167].end 2502.52596875
transcript.pyannote[168].speaker SPEAKER_07
transcript.pyannote[168].start 2502.66096875
transcript.pyannote[168].end 2504.38221875
transcript.pyannote[169].speaker SPEAKER_05
transcript.pyannote[169].start 2504.51721875
transcript.pyannote[169].end 2507.08221875
transcript.pyannote[170].speaker SPEAKER_08
transcript.pyannote[170].start 2504.82096875
transcript.pyannote[170].end 2505.96846875
transcript.pyannote[171].speaker SPEAKER_07
transcript.pyannote[171].start 2507.09909375
transcript.pyannote[171].end 2507.77409375
transcript.pyannote[172].speaker SPEAKER_05
transcript.pyannote[172].start 2507.77409375
transcript.pyannote[172].end 2510.92971875
transcript.pyannote[173].speaker SPEAKER_07
transcript.pyannote[173].start 2511.26721875
transcript.pyannote[173].end 2511.48659375
transcript.pyannote[174].speaker SPEAKER_05
transcript.pyannote[174].start 2511.58784375
transcript.pyannote[174].end 2531.16284375
transcript.pyannote[175].speaker SPEAKER_16
transcript.pyannote[175].start 2522.69159375
transcript.pyannote[175].end 2522.70846875
transcript.pyannote[176].speaker SPEAKER_08
transcript.pyannote[176].start 2522.70846875
transcript.pyannote[176].end 2523.40034375
transcript.pyannote[177].speaker SPEAKER_07
transcript.pyannote[177].start 2525.84721875
transcript.pyannote[177].end 2525.96534375
transcript.pyannote[178].speaker SPEAKER_08
transcript.pyannote[178].start 2525.96534375
transcript.pyannote[178].end 2526.04971875
transcript.pyannote[179].speaker SPEAKER_05
transcript.pyannote[179].start 2531.38221875
transcript.pyannote[179].end 2531.46659375
transcript.pyannote[180].speaker SPEAKER_07
transcript.pyannote[180].start 2531.46659375
transcript.pyannote[180].end 2539.39784375
transcript.pyannote[181].speaker SPEAKER_07
transcript.pyannote[181].start 2539.65096875
transcript.pyannote[181].end 2540.96721875
transcript.pyannote[182].speaker SPEAKER_11
transcript.pyannote[182].start 2540.96721875
transcript.pyannote[182].end 2540.98409375
transcript.pyannote[183].speaker SPEAKER_07
transcript.pyannote[183].start 2540.98409375
transcript.pyannote[183].end 2541.00096875
transcript.pyannote[184].speaker SPEAKER_11
transcript.pyannote[184].start 2541.00096875
transcript.pyannote[184].end 2541.03471875
transcript.pyannote[185].speaker SPEAKER_05
transcript.pyannote[185].start 2541.03471875
transcript.pyannote[185].end 2542.87409375
transcript.pyannote[186].speaker SPEAKER_07
transcript.pyannote[186].start 2542.87409375
transcript.pyannote[186].end 2557.13346875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 2552.57721875
transcript.pyannote[187].end 2552.61096875
transcript.pyannote[188].speaker SPEAKER_05
transcript.pyannote[188].start 2552.61096875
transcript.pyannote[188].end 2552.94846875
transcript.pyannote[189].speaker SPEAKER_05
transcript.pyannote[189].start 2555.66534375
transcript.pyannote[189].end 2557.77471875
transcript.pyannote[190].speaker SPEAKER_05
transcript.pyannote[190].start 2558.53409375
transcript.pyannote[190].end 2563.63034375
transcript.pyannote[191].speaker SPEAKER_07
transcript.pyannote[191].start 2558.56784375
transcript.pyannote[191].end 2559.51284375
transcript.pyannote[192].speaker SPEAKER_07
transcript.pyannote[192].start 2561.95971875
transcript.pyannote[192].end 2562.44909375
transcript.pyannote[193].speaker SPEAKER_07
transcript.pyannote[193].start 2563.63034375
transcript.pyannote[193].end 2564.22096875
transcript.pyannote[194].speaker SPEAKER_05
transcript.pyannote[194].start 2563.95096875
transcript.pyannote[194].end 2565.99284375
transcript.pyannote[195].speaker SPEAKER_07
transcript.pyannote[195].start 2565.77346875
transcript.pyannote[195].end 2570.34659375
transcript.pyannote[196].speaker SPEAKER_05
transcript.pyannote[196].start 2570.04284375
transcript.pyannote[196].end 2570.65034375
transcript.pyannote[197].speaker SPEAKER_05
transcript.pyannote[197].start 2571.37596875
transcript.pyannote[197].end 2584.06596875
transcript.pyannote[198].speaker SPEAKER_07
transcript.pyannote[198].start 2577.48471875
transcript.pyannote[198].end 2578.66596875
transcript.pyannote[199].speaker SPEAKER_07
transcript.pyannote[199].start 2580.16784375
transcript.pyannote[199].end 2580.58971875
transcript.pyannote[200].speaker SPEAKER_07
transcript.pyannote[200].start 2584.06596875
transcript.pyannote[200].end 2587.55909375
transcript.pyannote[201].speaker SPEAKER_05
transcript.pyannote[201].start 2586.98534375
transcript.pyannote[201].end 2591.98034375
transcript.pyannote[202].speaker SPEAKER_07
transcript.pyannote[202].start 2589.31409375
transcript.pyannote[202].end 2589.58409375
transcript.pyannote[203].speaker SPEAKER_05
transcript.pyannote[203].start 2592.26721875
transcript.pyannote[203].end 2595.22034375
transcript.pyannote[204].speaker SPEAKER_07
transcript.pyannote[204].start 2595.42284375
transcript.pyannote[204].end 2598.96659375
transcript.pyannote[205].speaker SPEAKER_05
transcript.pyannote[205].start 2598.71346875
transcript.pyannote[205].end 2602.07159375
transcript.pyannote[206].speaker SPEAKER_05
transcript.pyannote[206].start 2602.96596875
transcript.pyannote[206].end 2606.56034375
transcript.pyannote[207].speaker SPEAKER_05
transcript.pyannote[207].start 2606.94846875
transcript.pyannote[207].end 2614.03596875
transcript.pyannote[208].speaker SPEAKER_07
transcript.pyannote[208].start 2614.93034375
transcript.pyannote[208].end 2617.59659375
transcript.pyannote[209].speaker SPEAKER_05
transcript.pyannote[209].start 2616.41534375
transcript.pyannote[209].end 2618.91284375
transcript.pyannote[210].speaker SPEAKER_07
transcript.pyannote[210].start 2618.84534375
transcript.pyannote[210].end 2622.00096875
transcript.pyannote[211].speaker SPEAKER_05
transcript.pyannote[211].start 2619.41909375
transcript.pyannote[211].end 2623.19909375
transcript.pyannote[212].speaker SPEAKER_08
transcript.pyannote[212].start 2622.00096875
transcript.pyannote[212].end 2622.01784375
transcript.pyannote[213].speaker SPEAKER_05
transcript.pyannote[213].start 2623.55346875
transcript.pyannote[213].end 2629.76346875
transcript.pyannote[214].speaker SPEAKER_05
transcript.pyannote[214].start 2630.06721875
transcript.pyannote[214].end 2636.64846875
transcript.pyannote[215].speaker SPEAKER_05
transcript.pyannote[215].start 2636.71596875
transcript.pyannote[215].end 2637.76221875
transcript.pyannote[216].speaker SPEAKER_05
transcript.pyannote[216].start 2638.11659375
transcript.pyannote[216].end 2638.89284375
transcript.pyannote[217].speaker SPEAKER_07
transcript.pyannote[217].start 2639.29784375
transcript.pyannote[217].end 2643.41534375
transcript.pyannote[218].speaker SPEAKER_05
transcript.pyannote[218].start 2642.75721875
transcript.pyannote[218].end 2643.11159375
transcript.pyannote[219].speaker SPEAKER_07
transcript.pyannote[219].start 2644.03971875
transcript.pyannote[219].end 2648.93346875
transcript.pyannote[220].speaker SPEAKER_05
transcript.pyannote[220].start 2647.88721875
transcript.pyannote[220].end 2650.92471875
transcript.pyannote[221].speaker SPEAKER_07
transcript.pyannote[221].start 2651.22846875
transcript.pyannote[221].end 2651.59971875
transcript.pyannote[222].speaker SPEAKER_05
transcript.pyannote[222].start 2651.38034375
transcript.pyannote[222].end 2652.07221875
transcript.pyannote[223].speaker SPEAKER_07
transcript.pyannote[223].start 2652.24096875
transcript.pyannote[223].end 2652.56159375
transcript.pyannote[224].speaker SPEAKER_07
transcript.pyannote[224].start 2652.79784375
transcript.pyannote[224].end 2657.55659375
transcript.pyannote[225].speaker SPEAKER_05
transcript.pyannote[225].start 2657.48909375
transcript.pyannote[225].end 2666.38221875
transcript.pyannote[226].speaker SPEAKER_07
transcript.pyannote[226].start 2657.80971875
transcript.pyannote[226].end 2658.43409375
transcript.pyannote[227].speaker SPEAKER_07
transcript.pyannote[227].start 2666.78721875
transcript.pyannote[227].end 2672.03534375
transcript.pyannote[228].speaker SPEAKER_05
transcript.pyannote[228].start 2669.58846875
transcript.pyannote[228].end 2669.63909375
transcript.pyannote[229].speaker SPEAKER_12
transcript.pyannote[229].start 2669.63909375
transcript.pyannote[229].end 2671.22534375
transcript.pyannote[230].speaker SPEAKER_12
transcript.pyannote[230].start 2672.03534375
transcript.pyannote[230].end 2672.62596875
transcript.pyannote[231].speaker SPEAKER_12
transcript.pyannote[231].start 2672.81159375
transcript.pyannote[231].end 2672.86221875
transcript.pyannote[232].speaker SPEAKER_12
transcript.pyannote[232].start 2673.04784375
transcript.pyannote[232].end 2673.40221875
transcript.pyannote[233].speaker SPEAKER_12
transcript.pyannote[233].start 2674.12784375
transcript.pyannote[233].end 2678.14409375
transcript.pyannote[234].speaker SPEAKER_12
transcript.pyannote[234].start 2679.30846875
transcript.pyannote[234].end 2682.68346875
transcript.pyannote[235].speaker SPEAKER_01
transcript.pyannote[235].start 2705.27909375
transcript.pyannote[235].end 2706.69659375
transcript.pyannote[236].speaker SPEAKER_01
transcript.pyannote[236].start 2707.59096875
transcript.pyannote[236].end 2710.94909375
transcript.pyannote[237].speaker SPEAKER_12
transcript.pyannote[237].start 2711.20221875
transcript.pyannote[237].end 2712.85596875
transcript.pyannote[238].speaker SPEAKER_01
transcript.pyannote[238].start 2720.63534375
transcript.pyannote[238].end 2722.10346875
transcript.pyannote[239].speaker SPEAKER_15
transcript.pyannote[239].start 2720.93909375
transcript.pyannote[239].end 2721.37784375
transcript.pyannote[240].speaker SPEAKER_01
transcript.pyannote[240].start 2727.40221875
transcript.pyannote[240].end 2729.73096875
transcript.pyannote[241].speaker SPEAKER_01
transcript.pyannote[241].start 2729.96721875
transcript.pyannote[241].end 2737.61159375
transcript.pyannote[242].speaker SPEAKER_01
transcript.pyannote[242].start 2737.96596875
transcript.pyannote[242].end 2741.89784375
transcript.pyannote[243].speaker SPEAKER_01
transcript.pyannote[243].start 2742.30284375
transcript.pyannote[243].end 2759.59971875
transcript.pyannote[244].speaker SPEAKER_01
transcript.pyannote[244].start 2760.03846875
transcript.pyannote[244].end 2765.65784375
transcript.pyannote[245].speaker SPEAKER_01
transcript.pyannote[245].start 2766.04596875
transcript.pyannote[245].end 2787.66284375
transcript.pyannote[246].speaker SPEAKER_00
transcript.pyannote[246].start 2767.02471875
transcript.pyannote[246].end 2767.91909375
transcript.pyannote[247].speaker SPEAKER_01
transcript.pyannote[247].start 2787.98346875
transcript.pyannote[247].end 2791.24034375
transcript.pyannote[248].speaker SPEAKER_01
transcript.pyannote[248].start 2791.84784375
transcript.pyannote[248].end 2795.71221875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 2795.96534375
transcript.pyannote[249].end 2802.73221875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 2803.13721875
transcript.pyannote[250].end 2817.61596875
transcript.pyannote[251].speaker SPEAKER_01
transcript.pyannote[251].start 2818.15596875
transcript.pyannote[251].end 2819.53971875
transcript.pyannote[252].speaker SPEAKER_01
transcript.pyannote[252].start 2820.90659375
transcript.pyannote[252].end 2825.91846875
transcript.pyannote[253].speaker SPEAKER_01
transcript.pyannote[253].start 2826.13784375
transcript.pyannote[253].end 2831.65596875
transcript.pyannote[254].speaker SPEAKER_01
transcript.pyannote[254].start 2831.89221875
transcript.pyannote[254].end 2867.85284375
transcript.pyannote[255].speaker SPEAKER_01
transcript.pyannote[255].start 2868.93284375
transcript.pyannote[255].end 2870.99159375
transcript.pyannote[256].speaker SPEAKER_01
transcript.pyannote[256].start 2871.46409375
transcript.pyannote[256].end 2879.14221875
transcript.pyannote[257].speaker SPEAKER_01
transcript.pyannote[257].start 2879.22659375
transcript.pyannote[257].end 2880.69471875
transcript.pyannote[258].speaker SPEAKER_01
transcript.pyannote[258].start 2881.08284375
transcript.pyannote[258].end 2883.39471875
transcript.pyannote[259].speaker SPEAKER_01
transcript.pyannote[259].start 2883.69846875
transcript.pyannote[259].end 2888.94659375
transcript.pyannote[260].speaker SPEAKER_01
transcript.pyannote[260].start 2889.21659375
transcript.pyannote[260].end 2890.95471875
transcript.pyannote[261].speaker SPEAKER_01
transcript.pyannote[261].start 2891.41034375
transcript.pyannote[261].end 2895.71346875
transcript.pyannote[262].speaker SPEAKER_01
transcript.pyannote[262].start 2895.91596875
transcript.pyannote[262].end 2898.93659375
transcript.pyannote[263].speaker SPEAKER_01
transcript.pyannote[263].start 2899.24034375
transcript.pyannote[263].end 2911.12034375
transcript.pyannote[264].speaker SPEAKER_01
transcript.pyannote[264].start 2911.79534375
transcript.pyannote[264].end 2941.95096875
transcript.pyannote[265].speaker SPEAKER_01
transcript.pyannote[265].start 2942.13659375
transcript.pyannote[265].end 2959.51784375
transcript.pyannote[266].speaker SPEAKER_01
transcript.pyannote[266].start 2960.02409375
transcript.pyannote[266].end 2979.44721875
transcript.pyannote[267].speaker SPEAKER_01
transcript.pyannote[267].start 2980.15596875
transcript.pyannote[267].end 2983.66596875
transcript.pyannote[268].speaker SPEAKER_01
transcript.pyannote[268].start 2984.15534375
transcript.pyannote[268].end 2987.74971875
transcript.pyannote[269].speaker SPEAKER_01
transcript.pyannote[269].start 2988.05346875
transcript.pyannote[269].end 2999.52846875
transcript.pyannote[270].speaker SPEAKER_01
transcript.pyannote[270].start 3000.01784375
transcript.pyannote[270].end 3003.12284375
transcript.pyannote[271].speaker SPEAKER_01
transcript.pyannote[271].start 3003.42659375
transcript.pyannote[271].end 3005.01284375
transcript.pyannote[272].speaker SPEAKER_01
transcript.pyannote[272].start 3005.26596875
transcript.pyannote[272].end 3009.53534375
transcript.pyannote[273].speaker SPEAKER_01
transcript.pyannote[273].start 3009.87284375
transcript.pyannote[273].end 3012.03284375
transcript.pyannote[274].speaker SPEAKER_01
transcript.pyannote[274].start 3012.08346875
transcript.pyannote[274].end 3017.23034375
transcript.pyannote[275].speaker SPEAKER_01
transcript.pyannote[275].start 3017.75346875
transcript.pyannote[275].end 3030.76409375
transcript.pyannote[276].speaker SPEAKER_01
transcript.pyannote[276].start 3031.47284375
transcript.pyannote[276].end 3067.63596875
transcript.pyannote[277].speaker SPEAKER_01
transcript.pyannote[277].start 3068.22659375
transcript.pyannote[277].end 3070.45409375
transcript.pyannote[278].speaker SPEAKER_01
transcript.pyannote[278].start 3070.58909375
transcript.pyannote[278].end 3072.88409375
transcript.pyannote[279].speaker SPEAKER_01
transcript.pyannote[279].start 3073.25534375
transcript.pyannote[279].end 3075.92159375
transcript.pyannote[280].speaker SPEAKER_01
transcript.pyannote[280].start 3075.95534375
transcript.pyannote[280].end 3105.65534375
transcript.pyannote[281].speaker SPEAKER_01
transcript.pyannote[281].start 3105.90846875
transcript.pyannote[281].end 3107.86596875
transcript.pyannote[282].speaker SPEAKER_01
transcript.pyannote[282].start 3108.05159375
transcript.pyannote[282].end 3139.40534375
transcript.pyannote[283].speaker SPEAKER_01
transcript.pyannote[283].start 3139.70909375
transcript.pyannote[283].end 3143.52284375
transcript.pyannote[284].speaker SPEAKER_01
transcript.pyannote[284].start 3143.97846875
transcript.pyannote[284].end 3163.65471875
transcript.pyannote[285].speaker SPEAKER_01
transcript.pyannote[285].start 3164.14409375
transcript.pyannote[285].end 3176.02409375
transcript.pyannote[286].speaker SPEAKER_01
transcript.pyannote[286].start 3176.44596875
transcript.pyannote[286].end 3176.88471875
transcript.pyannote[287].speaker SPEAKER_01
transcript.pyannote[287].start 3177.44159375
transcript.pyannote[287].end 3188.81534375
transcript.pyannote[288].speaker SPEAKER_01
transcript.pyannote[288].start 3189.30471875
transcript.pyannote[288].end 3219.98346875
transcript.pyannote[289].speaker SPEAKER_01
transcript.pyannote[289].start 3220.28721875
transcript.pyannote[289].end 3240.85784375
transcript.pyannote[290].speaker SPEAKER_01
transcript.pyannote[290].start 3240.97596875
transcript.pyannote[290].end 3245.34659375
transcript.pyannote[291].speaker SPEAKER_01
transcript.pyannote[291].start 3246.20721875
transcript.pyannote[291].end 3258.76221875
transcript.pyannote[292].speaker SPEAKER_01
transcript.pyannote[292].start 3259.45409375
transcript.pyannote[292].end 3309.18471875
transcript.pyannote[293].speaker SPEAKER_01
transcript.pyannote[293].start 3309.69096875
transcript.pyannote[293].end 3311.49659375
transcript.pyannote[294].speaker SPEAKER_01
transcript.pyannote[294].start 3312.01971875
transcript.pyannote[294].end 3315.44534375
transcript.pyannote[295].speaker SPEAKER_01
transcript.pyannote[295].start 3316.08659375
transcript.pyannote[295].end 3316.69409375
transcript.pyannote[296].speaker SPEAKER_01
transcript.pyannote[296].start 3317.25096875
transcript.pyannote[296].end 3317.26784375
transcript.pyannote[297].speaker SPEAKER_15
transcript.pyannote[297].start 3317.26784375
transcript.pyannote[297].end 3317.28471875
transcript.pyannote[298].speaker SPEAKER_01
transcript.pyannote[298].start 3317.28471875
transcript.pyannote[298].end 3317.97659375
transcript.pyannote[299].speaker SPEAKER_15
transcript.pyannote[299].start 3317.97659375
transcript.pyannote[299].end 3322.75221875
transcript.pyannote[300].speaker SPEAKER_15
transcript.pyannote[300].start 3322.88721875
transcript.pyannote[300].end 3327.57846875
transcript.pyannote[301].speaker SPEAKER_15
transcript.pyannote[301].start 3327.88221875
transcript.pyannote[301].end 3329.50221875
transcript.pyannote[302].speaker SPEAKER_15
transcript.pyannote[302].start 3329.94096875
transcript.pyannote[302].end 3338.02409375
transcript.pyannote[303].speaker SPEAKER_15
transcript.pyannote[303].start 3338.49659375
transcript.pyannote[303].end 3356.35034375
transcript.pyannote[304].speaker SPEAKER_15
transcript.pyannote[304].start 3356.60346875
transcript.pyannote[304].end 3363.30284375
transcript.pyannote[305].speaker SPEAKER_15
transcript.pyannote[305].start 3363.60659375
transcript.pyannote[305].end 3377.07284375
transcript.pyannote[306].speaker SPEAKER_15
transcript.pyannote[306].start 3377.24159375
transcript.pyannote[306].end 3388.02471875
transcript.pyannote[307].speaker SPEAKER_14
transcript.pyannote[307].start 3387.65346875
transcript.pyannote[307].end 3396.52971875
transcript.pyannote[308].speaker SPEAKER_15
transcript.pyannote[308].start 3388.34534375
transcript.pyannote[308].end 3388.42971875
transcript.pyannote[309].speaker SPEAKER_14
transcript.pyannote[309].start 3396.61409375
transcript.pyannote[309].end 3432.74346875
transcript.pyannote[310].speaker SPEAKER_00
transcript.pyannote[310].start 3412.35846875
transcript.pyannote[310].end 3412.57784375
transcript.pyannote[311].speaker SPEAKER_08
transcript.pyannote[311].start 3412.57784375
transcript.pyannote[311].end 3412.61159375
transcript.pyannote[312].speaker SPEAKER_00
transcript.pyannote[312].start 3412.61159375
transcript.pyannote[312].end 3412.67909375
transcript.pyannote[313].speaker SPEAKER_14
transcript.pyannote[313].start 3433.01346875
transcript.pyannote[313].end 3433.89096875
transcript.pyannote[314].speaker SPEAKER_14
transcript.pyannote[314].start 3434.48159375
transcript.pyannote[314].end 3486.37221875
transcript.pyannote[315].speaker SPEAKER_01
transcript.pyannote[315].start 3484.68471875
transcript.pyannote[315].end 3509.60909375
transcript.pyannote[316].speaker SPEAKER_14
transcript.pyannote[316].start 3491.06346875
transcript.pyannote[316].end 3491.29971875
transcript.pyannote[317].speaker SPEAKER_01
transcript.pyannote[317].start 3509.92971875
transcript.pyannote[317].end 3529.75784375
transcript.pyannote[318].speaker SPEAKER_01
transcript.pyannote[318].start 3529.87596875
transcript.pyannote[318].end 3572.19846875
transcript.pyannote[319].speaker SPEAKER_01
transcript.pyannote[319].start 3572.77221875
transcript.pyannote[319].end 3577.17659375
transcript.pyannote[320].speaker SPEAKER_01
transcript.pyannote[320].start 3577.27784375
transcript.pyannote[320].end 3585.66471875
transcript.pyannote[321].speaker SPEAKER_01
transcript.pyannote[321].start 3586.03596875
transcript.pyannote[321].end 3594.45659375
transcript.pyannote[322].speaker SPEAKER_01
transcript.pyannote[322].start 3594.76034375
transcript.pyannote[322].end 3599.01284375
transcript.pyannote[323].speaker SPEAKER_15
transcript.pyannote[323].start 3598.94534375
transcript.pyannote[323].end 3603.23159375
transcript.pyannote[324].speaker SPEAKER_15
transcript.pyannote[324].start 3603.36659375
transcript.pyannote[324].end 3607.85534375
transcript.pyannote[325].speaker SPEAKER_15
transcript.pyannote[325].start 3608.04096875
transcript.pyannote[325].end 3619.29659375
transcript.pyannote[326].speaker SPEAKER_14
transcript.pyannote[326].start 3619.29659375
transcript.pyannote[326].end 3619.33034375
transcript.pyannote[327].speaker SPEAKER_16
transcript.pyannote[327].start 3619.48221875
transcript.pyannote[327].end 3619.53284375
transcript.pyannote[328].speaker SPEAKER_14
transcript.pyannote[328].start 3619.53284375
transcript.pyannote[328].end 3619.54971875
transcript.pyannote[329].speaker SPEAKER_16
transcript.pyannote[329].start 3619.54971875
transcript.pyannote[329].end 3619.58346875
transcript.pyannote[330].speaker SPEAKER_14
transcript.pyannote[330].start 3619.58346875
transcript.pyannote[330].end 3619.71846875
transcript.pyannote[331].speaker SPEAKER_16
transcript.pyannote[331].start 3619.71846875
transcript.pyannote[331].end 3619.76909375
transcript.pyannote[332].speaker SPEAKER_14
transcript.pyannote[332].start 3619.88721875
transcript.pyannote[332].end 3625.28721875
transcript.pyannote[333].speaker SPEAKER_12
transcript.pyannote[333].start 3636.62721875
transcript.pyannote[333].end 3641.52096875
transcript.pyannote[334].speaker SPEAKER_12
transcript.pyannote[334].start 3643.52909375
transcript.pyannote[334].end 3645.18284375
transcript.pyannote[335].speaker SPEAKER_12
transcript.pyannote[335].start 3646.27971875
transcript.pyannote[335].end 3649.46909375
transcript.pyannote[336].speaker SPEAKER_10
transcript.pyannote[336].start 3675.45659375
transcript.pyannote[336].end 3677.49846875
transcript.pyannote[337].speaker SPEAKER_12
transcript.pyannote[337].start 3677.92034375
transcript.pyannote[337].end 3679.86096875
transcript.pyannote[338].speaker SPEAKER_10
transcript.pyannote[338].start 3690.59346875
transcript.pyannote[338].end 3693.02346875
transcript.pyannote[339].speaker SPEAKER_10
transcript.pyannote[339].start 3693.12471875
transcript.pyannote[339].end 3693.73221875
transcript.pyannote[340].speaker SPEAKER_10
transcript.pyannote[340].start 3694.45784375
transcript.pyannote[340].end 3695.48721875
transcript.pyannote[341].speaker SPEAKER_15
transcript.pyannote[341].start 3696.56721875
transcript.pyannote[341].end 3696.93846875
transcript.pyannote[342].speaker SPEAKER_10
transcript.pyannote[342].start 3697.19159375
transcript.pyannote[342].end 3697.83284375
transcript.pyannote[343].speaker SPEAKER_10
transcript.pyannote[343].start 3698.37284375
transcript.pyannote[343].end 3699.01409375
transcript.pyannote[344].speaker SPEAKER_10
transcript.pyannote[344].start 3700.09409375
transcript.pyannote[344].end 3700.75221875
transcript.pyannote[345].speaker SPEAKER_10
transcript.pyannote[345].start 3701.35971875
transcript.pyannote[345].end 3703.38471875
transcript.pyannote[346].speaker SPEAKER_10
transcript.pyannote[346].start 3704.80221875
transcript.pyannote[346].end 3705.67971875
transcript.pyannote[347].speaker SPEAKER_10
transcript.pyannote[347].start 3707.19846875
transcript.pyannote[347].end 3708.04221875
transcript.pyannote[348].speaker SPEAKER_11
transcript.pyannote[348].start 3708.04221875
transcript.pyannote[348].end 3708.05909375
transcript.pyannote[349].speaker SPEAKER_11
transcript.pyannote[349].start 3709.17284375
transcript.pyannote[349].end 3710.08409375
transcript.pyannote[350].speaker SPEAKER_11
transcript.pyannote[350].start 3712.46346875
transcript.pyannote[350].end 3718.89284375
transcript.pyannote[351].speaker SPEAKER_11
transcript.pyannote[351].start 3719.06159375
transcript.pyannote[351].end 3719.46659375
transcript.pyannote[352].speaker SPEAKER_11
transcript.pyannote[352].start 3720.05721875
transcript.pyannote[352].end 3721.13721875
transcript.pyannote[353].speaker SPEAKER_11
transcript.pyannote[353].start 3721.55909375
transcript.pyannote[353].end 3722.67284375
transcript.pyannote[354].speaker SPEAKER_11
transcript.pyannote[354].start 3723.24659375
transcript.pyannote[354].end 3725.13659375
transcript.pyannote[355].speaker SPEAKER_11
transcript.pyannote[355].start 3726.16596875
transcript.pyannote[355].end 3728.59596875
transcript.pyannote[356].speaker SPEAKER_11
transcript.pyannote[356].start 3729.11909375
transcript.pyannote[356].end 3729.96284375
transcript.pyannote[357].speaker SPEAKER_11
transcript.pyannote[357].start 3731.29596875
transcript.pyannote[357].end 3732.34221875
transcript.pyannote[358].speaker SPEAKER_11
transcript.pyannote[358].start 3732.62909375
transcript.pyannote[358].end 3733.47284375
transcript.pyannote[359].speaker SPEAKER_11
transcript.pyannote[359].start 3733.60784375
transcript.pyannote[359].end 3734.56971875
transcript.pyannote[360].speaker SPEAKER_11
transcript.pyannote[360].start 3735.24471875
transcript.pyannote[360].end 3737.32034375
transcript.pyannote[361].speaker SPEAKER_11
transcript.pyannote[361].start 3738.61971875
transcript.pyannote[361].end 3740.08784375
transcript.pyannote[362].speaker SPEAKER_11
transcript.pyannote[362].start 3740.94846875
transcript.pyannote[362].end 3744.07034375
transcript.pyannote[363].speaker SPEAKER_02
transcript.pyannote[363].start 3744.22221875
transcript.pyannote[363].end 3744.54284375
transcript.pyannote[364].speaker SPEAKER_11
transcript.pyannote[364].start 3744.59346875
transcript.pyannote[364].end 3745.62284375
transcript.pyannote[365].speaker SPEAKER_11
transcript.pyannote[365].start 3746.73659375
transcript.pyannote[365].end 3749.11596875
transcript.pyannote[366].speaker SPEAKER_11
transcript.pyannote[366].start 3750.01034375
transcript.pyannote[366].end 3751.81596875
transcript.pyannote[367].speaker SPEAKER_11
transcript.pyannote[367].start 3752.76096875
transcript.pyannote[367].end 3754.54971875
transcript.pyannote[368].speaker SPEAKER_11
transcript.pyannote[368].start 3754.92096875
transcript.pyannote[368].end 3757.68846875
transcript.pyannote[369].speaker SPEAKER_11
transcript.pyannote[369].start 3758.90346875
transcript.pyannote[369].end 3760.25346875
transcript.pyannote[370].speaker SPEAKER_11
transcript.pyannote[370].start 3761.13096875
transcript.pyannote[370].end 3763.74659375
transcript.pyannote[371].speaker SPEAKER_11
transcript.pyannote[371].start 3764.28659375
transcript.pyannote[371].end 3766.98659375
transcript.pyannote[372].speaker SPEAKER_11
transcript.pyannote[372].start 3767.08784375
transcript.pyannote[372].end 3767.96534375
transcript.pyannote[373].speaker SPEAKER_11
transcript.pyannote[373].start 3768.64034375
transcript.pyannote[373].end 3771.74534375
transcript.pyannote[374].speaker SPEAKER_11
transcript.pyannote[374].start 3772.87596875
transcript.pyannote[374].end 3773.55096875
transcript.pyannote[375].speaker SPEAKER_11
transcript.pyannote[375].start 3774.71534375
transcript.pyannote[375].end 3777.21284375
transcript.pyannote[376].speaker SPEAKER_11
transcript.pyannote[376].start 3778.12409375
transcript.pyannote[376].end 3779.01846875
transcript.pyannote[377].speaker SPEAKER_11
transcript.pyannote[377].start 3779.42346875
transcript.pyannote[377].end 3780.89159375
transcript.pyannote[378].speaker SPEAKER_11
transcript.pyannote[378].start 3781.75221875
transcript.pyannote[378].end 3783.25409375
transcript.pyannote[379].speaker SPEAKER_11
transcript.pyannote[379].start 3783.60846875
transcript.pyannote[379].end 3785.49846875
transcript.pyannote[380].speaker SPEAKER_15
transcript.pyannote[380].start 3785.49846875
transcript.pyannote[380].end 3786.00471875
transcript.pyannote[381].speaker SPEAKER_11
transcript.pyannote[381].start 3786.56159375
transcript.pyannote[381].end 3790.84784375
transcript.pyannote[382].speaker SPEAKER_11
transcript.pyannote[382].start 3791.21909375
transcript.pyannote[382].end 3793.05846875
transcript.pyannote[383].speaker SPEAKER_11
transcript.pyannote[383].start 3794.64471875
transcript.pyannote[383].end 3795.97784375
transcript.pyannote[384].speaker SPEAKER_11
transcript.pyannote[384].start 3797.26034375
transcript.pyannote[384].end 3798.20534375
transcript.pyannote[385].speaker SPEAKER_11
transcript.pyannote[385].start 3798.45846875
transcript.pyannote[385].end 3800.48346875
transcript.pyannote[386].speaker SPEAKER_11
transcript.pyannote[386].start 3801.63096875
transcript.pyannote[386].end 3803.89221875
transcript.pyannote[387].speaker SPEAKER_11
transcript.pyannote[387].start 3805.19159375
transcript.pyannote[387].end 3805.69784375
transcript.pyannote[388].speaker SPEAKER_11
transcript.pyannote[388].start 3806.44034375
transcript.pyannote[388].end 3807.60471875
transcript.pyannote[389].speaker SPEAKER_11
transcript.pyannote[389].start 3807.82409375
transcript.pyannote[389].end 3809.14034375
transcript.pyannote[390].speaker SPEAKER_11
transcript.pyannote[390].start 3811.38471875
transcript.pyannote[390].end 3812.04284375
transcript.pyannote[391].speaker SPEAKER_11
transcript.pyannote[391].start 3812.53221875
transcript.pyannote[391].end 3816.68346875
transcript.pyannote[392].speaker SPEAKER_11
transcript.pyannote[392].start 3816.90284375
transcript.pyannote[392].end 3817.18971875
transcript.pyannote[393].speaker SPEAKER_11
transcript.pyannote[393].start 3818.62409375
transcript.pyannote[393].end 3820.93596875
transcript.pyannote[394].speaker SPEAKER_11
transcript.pyannote[394].start 3821.67846875
transcript.pyannote[394].end 3823.21409375
transcript.pyannote[395].speaker SPEAKER_11
transcript.pyannote[395].start 3824.29409375
transcript.pyannote[395].end 3825.10409375
transcript.pyannote[396].speaker SPEAKER_11
transcript.pyannote[396].start 3825.88034375
transcript.pyannote[396].end 3830.87534375
transcript.pyannote[397].speaker SPEAKER_11
transcript.pyannote[397].start 3831.28034375
transcript.pyannote[397].end 3832.14096875
transcript.pyannote[398].speaker SPEAKER_08
transcript.pyannote[398].start 3831.55034375
transcript.pyannote[398].end 3832.00596875
transcript.pyannote[399].speaker SPEAKER_11
transcript.pyannote[399].start 3832.66409375
transcript.pyannote[399].end 3835.44846875
transcript.pyannote[400].speaker SPEAKER_11
transcript.pyannote[400].start 3836.20784375
transcript.pyannote[400].end 3836.84909375
transcript.pyannote[401].speaker SPEAKER_11
transcript.pyannote[401].start 3837.22034375
transcript.pyannote[401].end 3838.33409375
transcript.pyannote[402].speaker SPEAKER_11
transcript.pyannote[402].start 3839.31284375
transcript.pyannote[402].end 3840.25784375
transcript.pyannote[403].speaker SPEAKER_11
transcript.pyannote[403].start 3840.57846875
transcript.pyannote[403].end 3842.11409375
transcript.pyannote[404].speaker SPEAKER_11
transcript.pyannote[404].start 3843.27846875
transcript.pyannote[404].end 3846.36659375
transcript.pyannote[405].speaker SPEAKER_11
transcript.pyannote[405].start 3847.73346875
transcript.pyannote[405].end 3850.41659375
transcript.pyannote[406].speaker SPEAKER_11
transcript.pyannote[406].start 3852.62721875
transcript.pyannote[406].end 3853.82534375
transcript.pyannote[407].speaker SPEAKER_11
transcript.pyannote[407].start 3854.95596875
transcript.pyannote[407].end 3856.87971875
transcript.pyannote[408].speaker SPEAKER_11
transcript.pyannote[408].start 3858.53346875
transcript.pyannote[408].end 3860.57534375
transcript.pyannote[409].speaker SPEAKER_11
transcript.pyannote[409].start 3860.69346875
transcript.pyannote[409].end 3861.77346875
transcript.pyannote[410].speaker SPEAKER_11
transcript.pyannote[410].start 3862.61721875
transcript.pyannote[410].end 3863.84909375
transcript.pyannote[411].speaker SPEAKER_11
transcript.pyannote[411].start 3864.08534375
transcript.pyannote[411].end 3865.03034375
transcript.pyannote[412].speaker SPEAKER_11
transcript.pyannote[412].start 3865.13159375
transcript.pyannote[412].end 3865.73909375
transcript.pyannote[413].speaker SPEAKER_11
transcript.pyannote[413].start 3866.46471875
transcript.pyannote[413].end 3867.07221875
transcript.pyannote[414].speaker SPEAKER_11
transcript.pyannote[414].start 3867.54471875
transcript.pyannote[414].end 3869.73846875
transcript.pyannote[415].speaker SPEAKER_11
transcript.pyannote[415].start 3870.34596875
transcript.pyannote[415].end 3874.15971875
transcript.pyannote[416].speaker SPEAKER_11
transcript.pyannote[416].start 3874.73346875
transcript.pyannote[416].end 3876.37034375
transcript.pyannote[417].speaker SPEAKER_11
transcript.pyannote[417].start 3876.96096875
transcript.pyannote[417].end 3880.33596875
transcript.pyannote[418].speaker SPEAKER_11
transcript.pyannote[418].start 3880.74096875
transcript.pyannote[418].end 3883.01909375
transcript.pyannote[419].speaker SPEAKER_11
transcript.pyannote[419].start 3883.96409375
transcript.pyannote[419].end 3888.57096875
transcript.pyannote[420].speaker SPEAKER_11
transcript.pyannote[420].start 3889.16159375
transcript.pyannote[420].end 3889.81971875
transcript.pyannote[421].speaker SPEAKER_11
transcript.pyannote[421].start 3891.00096875
transcript.pyannote[421].end 3892.63784375
transcript.pyannote[422].speaker SPEAKER_11
transcript.pyannote[422].start 3893.24534375
transcript.pyannote[422].end 3895.43909375
transcript.pyannote[423].speaker SPEAKER_11
transcript.pyannote[423].start 3895.89471875
transcript.pyannote[423].end 3897.68346875
transcript.pyannote[424].speaker SPEAKER_11
transcript.pyannote[424].start 3898.30784375
transcript.pyannote[424].end 3900.78846875
transcript.pyannote[425].speaker SPEAKER_11
transcript.pyannote[425].start 3901.76721875
transcript.pyannote[425].end 3902.56034375
transcript.pyannote[426].speaker SPEAKER_11
transcript.pyannote[426].start 3902.89784375
transcript.pyannote[426].end 3903.69096875
transcript.pyannote[427].speaker SPEAKER_11
transcript.pyannote[427].start 3904.09596875
transcript.pyannote[427].end 3906.13784375
transcript.pyannote[428].speaker SPEAKER_11
transcript.pyannote[428].start 3906.57659375
transcript.pyannote[428].end 3907.62284375
transcript.pyannote[429].speaker SPEAKER_11
transcript.pyannote[429].start 3907.72409375
transcript.pyannote[429].end 3908.50034375
transcript.pyannote[430].speaker SPEAKER_11
transcript.pyannote[430].start 3908.92221875
transcript.pyannote[430].end 3910.06971875
transcript.pyannote[431].speaker SPEAKER_11
transcript.pyannote[431].start 3910.55909375
transcript.pyannote[431].end 3910.84596875
transcript.pyannote[432].speaker SPEAKER_11
transcript.pyannote[432].start 3911.30159375
transcript.pyannote[432].end 3912.22971875
transcript.pyannote[433].speaker SPEAKER_11
transcript.pyannote[433].start 3913.07346875
transcript.pyannote[433].end 3914.25471875
transcript.pyannote[434].speaker SPEAKER_11
transcript.pyannote[434].start 3914.77784375
transcript.pyannote[434].end 3915.52034375
transcript.pyannote[435].speaker SPEAKER_11
transcript.pyannote[435].start 3916.19534375
transcript.pyannote[435].end 3917.27534375
transcript.pyannote[436].speaker SPEAKER_11
transcript.pyannote[436].start 3917.30909375
transcript.pyannote[436].end 3919.03034375
transcript.pyannote[437].speaker SPEAKER_11
transcript.pyannote[437].start 3919.19909375
transcript.pyannote[437].end 3922.50659375
transcript.pyannote[438].speaker SPEAKER_11
transcript.pyannote[438].start 3922.91159375
transcript.pyannote[438].end 3925.84784375
transcript.pyannote[439].speaker SPEAKER_11
transcript.pyannote[439].start 3926.87721875
transcript.pyannote[439].end 3928.17659375
transcript.pyannote[440].speaker SPEAKER_11
transcript.pyannote[440].start 3929.45909375
transcript.pyannote[440].end 3933.99846875
transcript.pyannote[441].speaker SPEAKER_11
transcript.pyannote[441].start 3934.48784375
transcript.pyannote[441].end 3938.09909375
transcript.pyannote[442].speaker SPEAKER_11
transcript.pyannote[442].start 3938.41971875
transcript.pyannote[442].end 3939.02721875
transcript.pyannote[443].speaker SPEAKER_15
transcript.pyannote[443].start 3940.24221875
transcript.pyannote[443].end 3941.84534375
transcript.pyannote[444].speaker SPEAKER_15
transcript.pyannote[444].start 3941.96346875
transcript.pyannote[444].end 3944.91659375
transcript.pyannote[445].speaker SPEAKER_11
transcript.pyannote[445].start 3942.13221875
transcript.pyannote[445].end 3942.48659375
transcript.pyannote[446].speaker SPEAKER_15
transcript.pyannote[446].start 3944.96721875
transcript.pyannote[446].end 3946.09784375
transcript.pyannote[447].speaker SPEAKER_11
transcript.pyannote[447].start 3945.43971875
transcript.pyannote[447].end 3946.13159375
transcript.pyannote[448].speaker SPEAKER_11
transcript.pyannote[448].start 3946.45221875
transcript.pyannote[448].end 3949.87784375
transcript.pyannote[449].speaker SPEAKER_15
transcript.pyannote[449].start 3946.78971875
transcript.pyannote[449].end 3946.99221875
transcript.pyannote[450].speaker SPEAKER_11
transcript.pyannote[450].start 3950.09721875
transcript.pyannote[450].end 3952.89846875
transcript.pyannote[451].speaker SPEAKER_15
transcript.pyannote[451].start 3952.25721875
transcript.pyannote[451].end 3953.60721875
transcript.pyannote[452].speaker SPEAKER_11
transcript.pyannote[452].start 3953.05034375
transcript.pyannote[452].end 3955.05846875
transcript.pyannote[453].speaker SPEAKER_15
transcript.pyannote[453].start 3954.31596875
transcript.pyannote[453].end 3957.60659375
transcript.pyannote[454].speaker SPEAKER_11
transcript.pyannote[454].start 3956.77971875
transcript.pyannote[454].end 3959.56409375
transcript.pyannote[455].speaker SPEAKER_15
transcript.pyannote[455].start 3958.39971875
transcript.pyannote[455].end 3964.77846875
transcript.pyannote[456].speaker SPEAKER_11
transcript.pyannote[456].start 3960.27284375
transcript.pyannote[456].end 3961.15034375
transcript.pyannote[457].speaker SPEAKER_15
transcript.pyannote[457].start 3964.94721875
transcript.pyannote[457].end 3978.04221875
transcript.pyannote[458].speaker SPEAKER_11
transcript.pyannote[458].start 3967.15784375
transcript.pyannote[458].end 3967.73159375
transcript.pyannote[459].speaker SPEAKER_11
transcript.pyannote[459].start 3973.73909375
transcript.pyannote[459].end 3974.21159375
transcript.pyannote[460].speaker SPEAKER_11
transcript.pyannote[460].start 3977.28284375
transcript.pyannote[460].end 3977.70471875
transcript.pyannote[461].speaker SPEAKER_15
transcript.pyannote[461].start 3978.39659375
transcript.pyannote[461].end 3980.47221875
transcript.pyannote[462].speaker SPEAKER_15
transcript.pyannote[462].start 3980.74221875
transcript.pyannote[462].end 3986.27721875
transcript.pyannote[463].speaker SPEAKER_15
transcript.pyannote[463].start 3987.44159375
transcript.pyannote[463].end 3999.18659375
transcript.pyannote[464].speaker SPEAKER_11
transcript.pyannote[464].start 3993.87096875
transcript.pyannote[464].end 3994.81596875
transcript.pyannote[465].speaker SPEAKER_11
transcript.pyannote[465].start 3997.33034375
transcript.pyannote[465].end 4000.72221875
transcript.pyannote[466].speaker SPEAKER_11
transcript.pyannote[466].start 4002.59534375
transcript.pyannote[466].end 4003.96221875
transcript.pyannote[467].speaker SPEAKER_11
transcript.pyannote[467].start 4004.58659375
transcript.pyannote[467].end 4005.46409375
transcript.pyannote[468].speaker SPEAKER_15
transcript.pyannote[468].start 4005.46409375
transcript.pyannote[468].end 4005.49784375
transcript.pyannote[469].speaker SPEAKER_15
transcript.pyannote[469].start 4006.37534375
transcript.pyannote[469].end 4008.11346875
transcript.pyannote[470].speaker SPEAKER_11
transcript.pyannote[470].start 4007.05034375
transcript.pyannote[470].end 4007.75909375
transcript.pyannote[471].speaker SPEAKER_15
transcript.pyannote[471].start 4008.24846875
transcript.pyannote[471].end 4014.34034375
transcript.pyannote[472].speaker SPEAKER_11
transcript.pyannote[472].start 4012.58534375
transcript.pyannote[472].end 4016.97284375
transcript.pyannote[473].speaker SPEAKER_15
transcript.pyannote[473].start 4016.97284375
transcript.pyannote[473].end 4025.93346875
transcript.pyannote[474].speaker SPEAKER_11
transcript.pyannote[474].start 4018.49159375
transcript.pyannote[474].end 4018.77846875
transcript.pyannote[475].speaker SPEAKER_11
transcript.pyannote[475].start 4024.58346875
transcript.pyannote[475].end 4025.42721875
transcript.pyannote[476].speaker SPEAKER_11
transcript.pyannote[476].start 4025.93346875
transcript.pyannote[476].end 4025.95034375
transcript.pyannote[477].speaker SPEAKER_15
transcript.pyannote[477].start 4025.95034375
transcript.pyannote[477].end 4025.96721875
transcript.pyannote[478].speaker SPEAKER_11
transcript.pyannote[478].start 4025.96721875
transcript.pyannote[478].end 4026.00096875
transcript.pyannote[479].speaker SPEAKER_15
transcript.pyannote[479].start 4026.00096875
transcript.pyannote[479].end 4026.03471875
transcript.pyannote[480].speaker SPEAKER_11
transcript.pyannote[480].start 4026.03471875
transcript.pyannote[480].end 4026.15284375
transcript.pyannote[481].speaker SPEAKER_15
transcript.pyannote[481].start 4026.15284375
transcript.pyannote[481].end 4026.30471875
transcript.pyannote[482].speaker SPEAKER_11
transcript.pyannote[482].start 4026.30471875
transcript.pyannote[482].end 4026.32159375
transcript.pyannote[483].speaker SPEAKER_15
transcript.pyannote[483].start 4026.32159375
transcript.pyannote[483].end 4029.17346875
transcript.pyannote[484].speaker SPEAKER_11
transcript.pyannote[484].start 4026.33846875
transcript.pyannote[484].end 4027.97534375
transcript.pyannote[485].speaker SPEAKER_11
transcript.pyannote[485].start 4028.58284375
transcript.pyannote[485].end 4035.13034375
transcript.pyannote[486].speaker SPEAKER_15
transcript.pyannote[486].start 4034.87721875
transcript.pyannote[486].end 4035.07971875
transcript.pyannote[487].speaker SPEAKER_15
transcript.pyannote[487].start 4035.13034375
transcript.pyannote[487].end 4037.44221875
transcript.pyannote[488].speaker SPEAKER_11
transcript.pyannote[488].start 4037.44221875
transcript.pyannote[488].end 4037.49284375
transcript.pyannote[489].speaker SPEAKER_15
transcript.pyannote[489].start 4037.49284375
transcript.pyannote[489].end 4037.50971875
transcript.pyannote[490].speaker SPEAKER_11
transcript.pyannote[490].start 4038.26909375
transcript.pyannote[490].end 4040.85096875
transcript.pyannote[491].speaker SPEAKER_11
transcript.pyannote[491].start 4041.88034375
transcript.pyannote[491].end 4042.85909375
transcript.pyannote[492].speaker SPEAKER_11
transcript.pyannote[492].start 4043.65221875
transcript.pyannote[492].end 4044.64784375
transcript.pyannote[493].speaker SPEAKER_11
transcript.pyannote[493].start 4047.58409375
transcript.pyannote[493].end 4050.90846875
transcript.pyannote[494].speaker SPEAKER_15
transcript.pyannote[494].start 4050.90846875
transcript.pyannote[494].end 4058.75534375
transcript.pyannote[495].speaker SPEAKER_15
transcript.pyannote[495].start 4059.44721875
transcript.pyannote[495].end 4066.12971875
transcript.pyannote[496].speaker SPEAKER_11
transcript.pyannote[496].start 4062.65346875
transcript.pyannote[496].end 4066.14659375
transcript.pyannote[497].speaker SPEAKER_15
transcript.pyannote[497].start 4066.14659375
transcript.pyannote[497].end 4066.16346875
transcript.pyannote[498].speaker SPEAKER_11
transcript.pyannote[498].start 4066.16346875
transcript.pyannote[498].end 4066.18034375
transcript.pyannote[499].speaker SPEAKER_11
transcript.pyannote[499].start 4066.45034375
transcript.pyannote[499].end 4070.26409375
transcript.pyannote[500].speaker SPEAKER_11
transcript.pyannote[500].start 4071.14159375
transcript.pyannote[500].end 4071.15846875
transcript.pyannote[501].speaker SPEAKER_15
transcript.pyannote[501].start 4071.15846875
transcript.pyannote[501].end 4071.39471875
transcript.pyannote[502].speaker SPEAKER_11
transcript.pyannote[502].start 4071.39471875
transcript.pyannote[502].end 4071.56346875
transcript.pyannote[503].speaker SPEAKER_11
transcript.pyannote[503].start 4071.71534375
transcript.pyannote[503].end 4072.98096875
transcript.pyannote[504].speaker SPEAKER_15
transcript.pyannote[504].start 4072.50846875
transcript.pyannote[504].end 4072.93034375
transcript.pyannote[505].speaker SPEAKER_15
transcript.pyannote[505].start 4072.98096875
transcript.pyannote[505].end 4073.03159375
transcript.pyannote[506].speaker SPEAKER_11
transcript.pyannote[506].start 4073.03159375
transcript.pyannote[506].end 4078.29659375
transcript.pyannote[507].speaker SPEAKER_15
transcript.pyannote[507].start 4074.82034375
transcript.pyannote[507].end 4076.27159375
transcript.pyannote[508].speaker SPEAKER_11
transcript.pyannote[508].start 4078.97159375
transcript.pyannote[508].end 4080.77721875
transcript.pyannote[509].speaker SPEAKER_15
transcript.pyannote[509].start 4081.84034375
transcript.pyannote[509].end 4081.85721875
transcript.pyannote[510].speaker SPEAKER_11
transcript.pyannote[510].start 4081.85721875
transcript.pyannote[510].end 4082.16096875
transcript.pyannote[511].speaker SPEAKER_15
transcript.pyannote[511].start 4082.16096875
transcript.pyannote[511].end 4085.67096875
transcript.pyannote[512].speaker SPEAKER_15
transcript.pyannote[512].start 4085.83971875
transcript.pyannote[512].end 4086.95346875
transcript.pyannote[513].speaker SPEAKER_15
transcript.pyannote[513].start 4087.30784375
transcript.pyannote[513].end 4089.82221875
transcript.pyannote[514].speaker SPEAKER_15
transcript.pyannote[514].start 4089.97409375
transcript.pyannote[514].end 4101.02721875
transcript.pyannote[515].speaker SPEAKER_00
transcript.pyannote[515].start 4092.50534375
transcript.pyannote[515].end 4094.02409375
transcript.pyannote[516].speaker SPEAKER_11
transcript.pyannote[516].start 4101.02721875
transcript.pyannote[516].end 4101.21284375
transcript.pyannote[517].speaker SPEAKER_15
transcript.pyannote[517].start 4101.21284375
transcript.pyannote[517].end 4101.36471875
transcript.pyannote[518].speaker SPEAKER_11
transcript.pyannote[518].start 4101.36471875
transcript.pyannote[518].end 4102.41096875
transcript.pyannote[519].speaker SPEAKER_11
transcript.pyannote[519].start 4102.93409375
transcript.pyannote[519].end 4104.09846875
transcript.pyannote[520].speaker SPEAKER_11
transcript.pyannote[520].start 4104.31784375
transcript.pyannote[520].end 4104.58784375
transcript.pyannote[521].speaker SPEAKER_11
transcript.pyannote[521].start 4105.27971875
transcript.pyannote[521].end 4105.85346875
transcript.pyannote[522].speaker SPEAKER_11
transcript.pyannote[522].start 4106.96721875
transcript.pyannote[522].end 4109.21159375
transcript.pyannote[523].speaker SPEAKER_11
transcript.pyannote[523].start 4110.00471875
transcript.pyannote[523].end 4114.51034375
transcript.pyannote[524].speaker SPEAKER_11
transcript.pyannote[524].start 4115.25284375
transcript.pyannote[524].end 4115.92784375
transcript.pyannote[525].speaker SPEAKER_11
transcript.pyannote[525].start 4116.16409375
transcript.pyannote[525].end 4117.42971875
transcript.pyannote[526].speaker SPEAKER_11
transcript.pyannote[526].start 4118.30721875
transcript.pyannote[526].end 4120.55159375
transcript.pyannote[527].speaker SPEAKER_11
transcript.pyannote[527].start 4120.87221875
transcript.pyannote[527].end 4123.40346875
transcript.pyannote[528].speaker SPEAKER_11
transcript.pyannote[528].start 4123.57221875
transcript.pyannote[528].end 4128.21284375
transcript.pyannote[529].speaker SPEAKER_11
transcript.pyannote[529].start 4128.90471875
transcript.pyannote[529].end 4130.81159375
transcript.pyannote[530].speaker SPEAKER_11
transcript.pyannote[530].start 4132.56659375
transcript.pyannote[530].end 4134.11909375
transcript.pyannote[531].speaker SPEAKER_11
transcript.pyannote[531].start 4134.84471875
transcript.pyannote[531].end 4138.35471875
transcript.pyannote[532].speaker SPEAKER_11
transcript.pyannote[532].start 4138.89471875
transcript.pyannote[532].end 4142.45534375
transcript.pyannote[533].speaker SPEAKER_11
transcript.pyannote[533].start 4143.41721875
transcript.pyannote[533].end 4147.45034375
transcript.pyannote[534].speaker SPEAKER_11
transcript.pyannote[534].start 4148.17596875
transcript.pyannote[534].end 4149.71159375
transcript.pyannote[535].speaker SPEAKER_11
transcript.pyannote[535].start 4150.33596875
transcript.pyannote[535].end 4151.21346875
transcript.pyannote[536].speaker SPEAKER_11
transcript.pyannote[536].start 4152.29346875
transcript.pyannote[536].end 4154.55471875
transcript.pyannote[537].speaker SPEAKER_11
transcript.pyannote[537].start 4155.76971875
transcript.pyannote[537].end 4156.24221875
transcript.pyannote[538].speaker SPEAKER_11
transcript.pyannote[538].start 4157.55846875
transcript.pyannote[538].end 4162.67159375
transcript.pyannote[539].speaker SPEAKER_11
transcript.pyannote[539].start 4163.00909375
transcript.pyannote[539].end 4163.88659375
transcript.pyannote[540].speaker SPEAKER_11
transcript.pyannote[540].start 4165.01721875
transcript.pyannote[540].end 4168.45971875
transcript.pyannote[541].speaker SPEAKER_11
transcript.pyannote[541].start 4168.74659375
transcript.pyannote[541].end 4175.20971875
transcript.pyannote[542].speaker SPEAKER_11
transcript.pyannote[542].start 4175.81721875
transcript.pyannote[542].end 4178.85471875
transcript.pyannote[543].speaker SPEAKER_11
transcript.pyannote[543].start 4179.05721875
transcript.pyannote[543].end 4181.52096875
transcript.pyannote[544].speaker SPEAKER_11
transcript.pyannote[544].start 4182.49971875
transcript.pyannote[544].end 4187.39346875
transcript.pyannote[545].speaker SPEAKER_11
transcript.pyannote[545].start 4187.76471875
transcript.pyannote[545].end 4189.23284375
transcript.pyannote[546].speaker SPEAKER_11
transcript.pyannote[546].start 4189.85721875
transcript.pyannote[546].end 4192.40534375
transcript.pyannote[547].speaker SPEAKER_11
transcript.pyannote[547].start 4192.77659375
transcript.pyannote[547].end 4193.82284375
transcript.pyannote[548].speaker SPEAKER_11
transcript.pyannote[548].start 4195.03784375
transcript.pyannote[548].end 4197.46784375
transcript.pyannote[549].speaker SPEAKER_11
transcript.pyannote[549].start 4198.10909375
transcript.pyannote[549].end 4198.76721875
transcript.pyannote[550].speaker SPEAKER_11
transcript.pyannote[550].start 4199.59409375
transcript.pyannote[550].end 4201.24784375
transcript.pyannote[551].speaker SPEAKER_11
transcript.pyannote[551].start 4201.65284375
transcript.pyannote[551].end 4205.09534375
transcript.pyannote[552].speaker SPEAKER_11
transcript.pyannote[552].start 4206.41159375
transcript.pyannote[552].end 4208.13284375
transcript.pyannote[553].speaker SPEAKER_11
transcript.pyannote[553].start 4208.60534375
transcript.pyannote[553].end 4210.54596875
transcript.pyannote[554].speaker SPEAKER_11
transcript.pyannote[554].start 4211.11971875
transcript.pyannote[554].end 4212.99284375
transcript.pyannote[555].speaker SPEAKER_11
transcript.pyannote[555].start 4213.19534375
transcript.pyannote[555].end 4214.32596875
transcript.pyannote[556].speaker SPEAKER_11
transcript.pyannote[556].start 4214.73096875
transcript.pyannote[556].end 4215.05159375
transcript.pyannote[557].speaker SPEAKER_11
transcript.pyannote[557].start 4216.03034375
transcript.pyannote[557].end 4220.31659375
transcript.pyannote[558].speaker SPEAKER_11
transcript.pyannote[558].start 4220.97471875
transcript.pyannote[558].end 4228.85534375
transcript.pyannote[559].speaker SPEAKER_11
transcript.pyannote[559].start 4229.41221875
transcript.pyannote[559].end 4230.69471875
transcript.pyannote[560].speaker SPEAKER_15
transcript.pyannote[560].start 4231.20096875
transcript.pyannote[560].end 4232.09534375
transcript.pyannote[561].speaker SPEAKER_15
transcript.pyannote[561].start 4232.31471875
transcript.pyannote[561].end 4246.42221875
transcript.pyannote[562].speaker SPEAKER_11
transcript.pyannote[562].start 4239.33471875
transcript.pyannote[562].end 4240.53284375
transcript.pyannote[563].speaker SPEAKER_15
transcript.pyannote[563].start 4246.59096875
transcript.pyannote[563].end 4247.78909375
transcript.pyannote[564].speaker SPEAKER_15
transcript.pyannote[564].start 4247.99159375
transcript.pyannote[564].end 4249.78034375
transcript.pyannote[565].speaker SPEAKER_15
transcript.pyannote[565].start 4250.05034375
transcript.pyannote[565].end 4250.82659375
transcript.pyannote[566].speaker SPEAKER_15
transcript.pyannote[566].start 4251.18096875
transcript.pyannote[566].end 4251.61971875
transcript.pyannote[567].speaker SPEAKER_15
transcript.pyannote[567].start 4251.77159375
transcript.pyannote[567].end 4254.65721875
transcript.pyannote[568].speaker SPEAKER_15
transcript.pyannote[568].start 4255.16346875
transcript.pyannote[568].end 4257.52596875
transcript.pyannote[569].speaker SPEAKER_15
transcript.pyannote[569].start 4257.86346875
transcript.pyannote[569].end 4259.28096875
transcript.pyannote[570].speaker SPEAKER_15
transcript.pyannote[570].start 4259.60159375
transcript.pyannote[570].end 4259.61846875
transcript.pyannote[571].speaker SPEAKER_11
transcript.pyannote[571].start 4259.61846875
transcript.pyannote[571].end 4268.93346875
transcript.pyannote[572].speaker SPEAKER_15
transcript.pyannote[572].start 4259.73659375
transcript.pyannote[572].end 4261.13721875
transcript.pyannote[573].speaker SPEAKER_15
transcript.pyannote[573].start 4262.31846875
transcript.pyannote[573].end 4263.76971875
transcript.pyannote[574].speaker SPEAKER_11
transcript.pyannote[574].start 4269.42284375
transcript.pyannote[574].end 4281.58971875
transcript.pyannote[575].speaker SPEAKER_11
transcript.pyannote[575].start 4282.21409375
transcript.pyannote[575].end 4285.50471875
transcript.pyannote[576].speaker SPEAKER_11
transcript.pyannote[576].start 4286.16284375
transcript.pyannote[576].end 4287.98534375
transcript.pyannote[577].speaker SPEAKER_11
transcript.pyannote[577].start 4288.10346875
transcript.pyannote[577].end 4295.78159375
transcript.pyannote[578].speaker SPEAKER_11
transcript.pyannote[578].start 4296.45659375
transcript.pyannote[578].end 4297.40159375
transcript.pyannote[579].speaker SPEAKER_11
transcript.pyannote[579].start 4298.04284375
transcript.pyannote[579].end 4301.26596875
transcript.pyannote[580].speaker SPEAKER_11
transcript.pyannote[580].start 4301.60346875
transcript.pyannote[580].end 4303.02096875
transcript.pyannote[581].speaker SPEAKER_15
transcript.pyannote[581].start 4303.20659375
transcript.pyannote[581].end 4306.37909375
transcript.pyannote[582].speaker SPEAKER_15
transcript.pyannote[582].start 4306.56471875
transcript.pyannote[582].end 4315.96409375
transcript.pyannote[583].speaker SPEAKER_11
transcript.pyannote[583].start 4313.65221875
transcript.pyannote[583].end 4315.22159375
transcript.pyannote[584].speaker SPEAKER_11
transcript.pyannote[584].start 4315.96409375
transcript.pyannote[584].end 4315.99784375
transcript.pyannote[585].speaker SPEAKER_15
transcript.pyannote[585].start 4315.99784375
transcript.pyannote[585].end 4318.22534375
transcript.pyannote[586].speaker SPEAKER_11
transcript.pyannote[586].start 4316.04846875
transcript.pyannote[586].end 4316.60534375
transcript.pyannote[587].speaker SPEAKER_11
transcript.pyannote[587].start 4317.46596875
transcript.pyannote[587].end 4321.61721875
transcript.pyannote[588].speaker SPEAKER_15
transcript.pyannote[588].start 4319.60909375
transcript.pyannote[588].end 4339.89284375
transcript.pyannote[589].speaker SPEAKER_11
transcript.pyannote[589].start 4322.37659375
transcript.pyannote[589].end 4323.82784375
transcript.pyannote[590].speaker SPEAKER_11
transcript.pyannote[590].start 4324.60409375
transcript.pyannote[590].end 4325.09346875
transcript.pyannote[591].speaker SPEAKER_11
transcript.pyannote[591].start 4339.89284375
transcript.pyannote[591].end 4341.79971875
transcript.pyannote[592].speaker SPEAKER_11
transcript.pyannote[592].start 4342.91346875
transcript.pyannote[592].end 4344.16221875
transcript.pyannote[593].speaker SPEAKER_11
transcript.pyannote[593].start 4344.83721875
transcript.pyannote[593].end 4349.84909375
transcript.pyannote[594].speaker SPEAKER_11
transcript.pyannote[594].start 4349.96721875
transcript.pyannote[594].end 4350.03471875
transcript.pyannote[595].speaker SPEAKER_15
transcript.pyannote[595].start 4350.03471875
transcript.pyannote[595].end 4350.99659375
transcript.pyannote[596].speaker SPEAKER_11
transcript.pyannote[596].start 4350.99659375
transcript.pyannote[596].end 4351.04721875
transcript.pyannote[597].speaker SPEAKER_15
transcript.pyannote[597].start 4351.04721875
transcript.pyannote[597].end 4351.08096875
transcript.pyannote[598].speaker SPEAKER_11
transcript.pyannote[598].start 4351.08096875
transcript.pyannote[598].end 4351.97534375
transcript.pyannote[599].speaker SPEAKER_15
transcript.pyannote[599].start 4351.97534375
transcript.pyannote[599].end 4352.59971875
transcript.pyannote[600].speaker SPEAKER_11
transcript.pyannote[600].start 4352.59971875
transcript.pyannote[600].end 4353.44346875
transcript.pyannote[601].speaker SPEAKER_15
transcript.pyannote[601].start 4352.75159375
transcript.pyannote[601].end 4358.96159375
transcript.pyannote[602].speaker SPEAKER_11
transcript.pyannote[602].start 4355.26596875
transcript.pyannote[602].end 4369.79534375
transcript.pyannote[603].speaker SPEAKER_11
transcript.pyannote[603].start 4370.31846875
transcript.pyannote[603].end 4372.17471875
transcript.pyannote[604].speaker SPEAKER_11
transcript.pyannote[604].start 4372.49534375
transcript.pyannote[604].end 4379.36346875
transcript.pyannote[605].speaker SPEAKER_15
transcript.pyannote[605].start 4378.19909375
transcript.pyannote[605].end 4382.40096875
transcript.pyannote[606].speaker SPEAKER_11
transcript.pyannote[606].start 4380.62909375
transcript.pyannote[606].end 4385.38784375
transcript.pyannote[607].speaker SPEAKER_11
transcript.pyannote[607].start 4386.07971875
transcript.pyannote[607].end 4387.00784375
transcript.pyannote[608].speaker SPEAKER_11
transcript.pyannote[608].start 4387.71659375
transcript.pyannote[608].end 4387.90221875
transcript.pyannote[609].speaker SPEAKER_11
transcript.pyannote[609].start 4388.08784375
transcript.pyannote[609].end 4389.70784375
transcript.pyannote[610].speaker SPEAKER_11
transcript.pyannote[610].start 4390.01159375
transcript.pyannote[610].end 4391.39534375
transcript.pyannote[611].speaker SPEAKER_11
transcript.pyannote[611].start 4392.10409375
transcript.pyannote[611].end 4394.06159375
transcript.pyannote[612].speaker SPEAKER_11
transcript.pyannote[612].start 4394.43284375
transcript.pyannote[612].end 4401.06471875
transcript.pyannote[613].speaker SPEAKER_11
transcript.pyannote[613].start 4401.73971875
transcript.pyannote[613].end 4402.66784375
transcript.pyannote[614].speaker SPEAKER_11
transcript.pyannote[614].start 4403.07284375
transcript.pyannote[614].end 4403.98409375
transcript.pyannote[615].speaker SPEAKER_11
transcript.pyannote[615].start 4404.22034375
transcript.pyannote[615].end 4405.18221875
transcript.pyannote[616].speaker SPEAKER_11
transcript.pyannote[616].start 4405.45221875
transcript.pyannote[616].end 4406.54909375
transcript.pyannote[617].speaker SPEAKER_11
transcript.pyannote[617].start 4406.73471875
transcript.pyannote[617].end 4408.92846875
transcript.pyannote[618].speaker SPEAKER_11
transcript.pyannote[618].start 4409.13096875
transcript.pyannote[618].end 4410.16034375
transcript.pyannote[619].speaker SPEAKER_11
transcript.pyannote[619].start 4410.44721875
transcript.pyannote[619].end 4413.63659375
transcript.pyannote[620].speaker SPEAKER_11
transcript.pyannote[620].start 4414.44659375
transcript.pyannote[620].end 4420.20096875
transcript.pyannote[621].speaker SPEAKER_11
transcript.pyannote[621].start 4420.48784375
transcript.pyannote[621].end 4422.93471875
transcript.pyannote[622].speaker SPEAKER_11
transcript.pyannote[622].start 4423.52534375
transcript.pyannote[622].end 4426.22534375
transcript.pyannote[623].speaker SPEAKER_11
transcript.pyannote[623].start 4426.57971875
transcript.pyannote[623].end 4428.50346875
transcript.pyannote[624].speaker SPEAKER_11
transcript.pyannote[624].start 4428.97596875
transcript.pyannote[624].end 4431.67596875
transcript.pyannote[625].speaker SPEAKER_11
transcript.pyannote[625].start 4432.46909375
transcript.pyannote[625].end 4434.83159375
transcript.pyannote[626].speaker SPEAKER_11
transcript.pyannote[626].start 4435.47284375
transcript.pyannote[626].end 4437.37971875
transcript.pyannote[627].speaker SPEAKER_11
transcript.pyannote[627].start 4438.47659375
transcript.pyannote[627].end 4439.37096875
transcript.pyannote[628].speaker SPEAKER_11
transcript.pyannote[628].start 4439.67471875
transcript.pyannote[628].end 4440.16409375
transcript.pyannote[629].speaker SPEAKER_11
transcript.pyannote[629].start 4440.68721875
transcript.pyannote[629].end 4442.56034375
transcript.pyannote[630].speaker SPEAKER_11
transcript.pyannote[630].start 4443.04971875
transcript.pyannote[630].end 4445.74971875
transcript.pyannote[631].speaker SPEAKER_11
transcript.pyannote[631].start 4447.77471875
transcript.pyannote[631].end 4450.27221875
transcript.pyannote[632].speaker SPEAKER_11
transcript.pyannote[632].start 4451.30159375
transcript.pyannote[632].end 4455.30096875
transcript.pyannote[633].speaker SPEAKER_11
transcript.pyannote[633].start 4455.85784375
transcript.pyannote[633].end 4458.28784375
transcript.pyannote[634].speaker SPEAKER_11
transcript.pyannote[634].start 4459.26659375
transcript.pyannote[634].end 4460.88659375
transcript.pyannote[635].speaker SPEAKER_11
transcript.pyannote[635].start 4461.42659375
transcript.pyannote[635].end 4463.63721875
transcript.pyannote[636].speaker SPEAKER_11
transcript.pyannote[636].start 4463.97471875
transcript.pyannote[636].end 4465.52721875
transcript.pyannote[637].speaker SPEAKER_11
transcript.pyannote[637].start 4466.37096875
transcript.pyannote[637].end 4468.54784375
transcript.pyannote[638].speaker SPEAKER_11
transcript.pyannote[638].start 4468.98659375
transcript.pyannote[638].end 4469.32409375
transcript.pyannote[639].speaker SPEAKER_11
transcript.pyannote[639].start 4469.54346875
transcript.pyannote[639].end 4470.94409375
transcript.pyannote[640].speaker SPEAKER_11
transcript.pyannote[640].start 4471.39971875
transcript.pyannote[640].end 4471.88909375
transcript.pyannote[641].speaker SPEAKER_11
transcript.pyannote[641].start 4472.71596875
transcript.pyannote[641].end 4474.58909375
transcript.pyannote[642].speaker SPEAKER_11
transcript.pyannote[642].start 4475.63534375
transcript.pyannote[642].end 4479.29721875
transcript.pyannote[643].speaker SPEAKER_11
transcript.pyannote[643].start 4479.73596875
transcript.pyannote[643].end 4484.52846875
transcript.pyannote[644].speaker SPEAKER_11
transcript.pyannote[644].start 4484.96721875
transcript.pyannote[644].end 4487.56596875
transcript.pyannote[645].speaker SPEAKER_11
transcript.pyannote[645].start 4488.15659375
transcript.pyannote[645].end 4492.34159375
transcript.pyannote[646].speaker SPEAKER_11
transcript.pyannote[646].start 4493.01659375
transcript.pyannote[646].end 4500.67784375
transcript.pyannote[647].speaker SPEAKER_11
transcript.pyannote[647].start 4501.23471875
transcript.pyannote[647].end 4501.79159375
transcript.pyannote[648].speaker SPEAKER_11
transcript.pyannote[648].start 4502.46659375
transcript.pyannote[648].end 4505.99346875
transcript.pyannote[649].speaker SPEAKER_11
transcript.pyannote[649].start 4506.92159375
transcript.pyannote[649].end 4510.02659375
transcript.pyannote[650].speaker SPEAKER_11
transcript.pyannote[650].start 4510.43159375
transcript.pyannote[650].end 4514.41409375
transcript.pyannote[651].speaker SPEAKER_11
transcript.pyannote[651].start 4514.61659375
transcript.pyannote[651].end 4516.96221875
transcript.pyannote[652].speaker SPEAKER_11
transcript.pyannote[652].start 4517.28284375
transcript.pyannote[652].end 4518.43034375
transcript.pyannote[653].speaker SPEAKER_11
transcript.pyannote[653].start 4518.86909375
transcript.pyannote[653].end 4519.52721875
transcript.pyannote[654].speaker SPEAKER_11
transcript.pyannote[654].start 4520.37096875
transcript.pyannote[654].end 4521.02909375
transcript.pyannote[655].speaker SPEAKER_11
transcript.pyannote[655].start 4521.58596875
transcript.pyannote[655].end 4525.88909375
transcript.pyannote[656].speaker SPEAKER_11
transcript.pyannote[656].start 4526.19284375
transcript.pyannote[656].end 4538.51159375
transcript.pyannote[657].speaker SPEAKER_11
transcript.pyannote[657].start 4538.96721875
transcript.pyannote[657].end 4541.22846875
transcript.pyannote[658].speaker SPEAKER_11
transcript.pyannote[658].start 4541.63346875
transcript.pyannote[658].end 4544.04659375
transcript.pyannote[659].speaker SPEAKER_11
transcript.pyannote[659].start 4544.68784375
transcript.pyannote[659].end 4545.41346875
transcript.pyannote[660].speaker SPEAKER_11
transcript.pyannote[660].start 4545.81846875
transcript.pyannote[660].end 4547.42159375
transcript.pyannote[661].speaker SPEAKER_11
transcript.pyannote[661].start 4547.89409375
transcript.pyannote[661].end 4551.67409375
transcript.pyannote[662].speaker SPEAKER_11
transcript.pyannote[662].start 4551.97784375
transcript.pyannote[662].end 4554.88034375
transcript.pyannote[663].speaker SPEAKER_11
transcript.pyannote[663].start 4554.98159375
transcript.pyannote[663].end 4559.84159375
transcript.pyannote[664].speaker SPEAKER_11
transcript.pyannote[664].start 4560.49971875
transcript.pyannote[664].end 4563.13221875
transcript.pyannote[665].speaker SPEAKER_11
transcript.pyannote[665].start 4563.41909375
transcript.pyannote[665].end 4564.31346875
transcript.pyannote[666].speaker SPEAKER_11
transcript.pyannote[666].start 4564.95471875
transcript.pyannote[666].end 4568.04284375
transcript.pyannote[667].speaker SPEAKER_11
transcript.pyannote[667].start 4568.46471875
transcript.pyannote[667].end 4568.81909375
transcript.pyannote[668].speaker SPEAKER_11
transcript.pyannote[668].start 4568.95409375
transcript.pyannote[668].end 4570.70909375
transcript.pyannote[669].speaker SPEAKER_11
transcript.pyannote[669].start 4570.84409375
transcript.pyannote[669].end 4574.45534375
transcript.pyannote[670].speaker SPEAKER_11
transcript.pyannote[670].start 4574.48909375
transcript.pyannote[670].end 4575.72096875
transcript.pyannote[671].speaker SPEAKER_11
transcript.pyannote[671].start 4576.22721875
transcript.pyannote[671].end 4578.58971875
transcript.pyannote[672].speaker SPEAKER_15
transcript.pyannote[672].start 4578.89346875
transcript.pyannote[672].end 4581.28971875
transcript.pyannote[673].speaker SPEAKER_15
transcript.pyannote[673].start 4581.84659375
transcript.pyannote[673].end 4590.06471875
transcript.pyannote[674].speaker SPEAKER_11
transcript.pyannote[674].start 4588.20846875
transcript.pyannote[674].end 4589.64284375
transcript.pyannote[675].speaker SPEAKER_11
transcript.pyannote[675].start 4590.06471875
transcript.pyannote[675].end 4594.97534375
transcript.pyannote[676].speaker SPEAKER_15
transcript.pyannote[676].start 4592.42721875
transcript.pyannote[676].end 4593.96284375
transcript.pyannote[677].speaker SPEAKER_11
transcript.pyannote[677].start 4595.05971875
transcript.pyannote[677].end 4595.24534375
transcript.pyannote[678].speaker SPEAKER_12
transcript.pyannote[678].start 4610.16284375
transcript.pyannote[678].end 4611.37784375
transcript.pyannote[679].speaker SPEAKER_12
transcript.pyannote[679].start 4611.47909375
transcript.pyannote[679].end 4611.58034375
transcript.pyannote[680].speaker SPEAKER_12
transcript.pyannote[680].start 4615.42784375
transcript.pyannote[680].end 4619.15721875
transcript.pyannote[681].speaker SPEAKER_12
transcript.pyannote[681].start 4624.45596875
transcript.pyannote[681].end 4627.42596875
transcript.pyannote[682].speaker SPEAKER_12
transcript.pyannote[682].start 4627.96596875
transcript.pyannote[682].end 4632.85971875
transcript.pyannote[683].speaker SPEAKER_12
transcript.pyannote[683].start 4634.88471875
transcript.pyannote[683].end 4639.60971875
transcript.pyannote[684].speaker SPEAKER_03
transcript.pyannote[684].start 4647.89534375
transcript.pyannote[684].end 4650.94971875
transcript.pyannote[685].speaker SPEAKER_12
transcript.pyannote[685].start 4651.47284375
transcript.pyannote[685].end 4652.77221875
transcript.pyannote[686].speaker SPEAKER_15
transcript.pyannote[686].start 4662.37409375
transcript.pyannote[686].end 4662.96471875
transcript.pyannote[687].speaker SPEAKER_03
transcript.pyannote[687].start 4663.26846875
transcript.pyannote[687].end 4664.26409375
transcript.pyannote[688].speaker SPEAKER_03
transcript.pyannote[688].start 4664.50034375
transcript.pyannote[688].end 4682.20221875
transcript.pyannote[689].speaker SPEAKER_03
transcript.pyannote[689].start 4682.42159375
transcript.pyannote[689].end 4688.02409375
transcript.pyannote[690].speaker SPEAKER_05
transcript.pyannote[690].start 4688.02409375
transcript.pyannote[690].end 4711.96971875
transcript.pyannote[691].speaker SPEAKER_03
transcript.pyannote[691].start 4711.96971875
transcript.pyannote[691].end 4719.02346875
transcript.pyannote[692].speaker SPEAKER_05
transcript.pyannote[692].start 4719.02346875
transcript.pyannote[692].end 4734.17721875
transcript.pyannote[693].speaker SPEAKER_14
transcript.pyannote[693].start 4734.61596875
transcript.pyannote[693].end 4734.73409375
transcript.pyannote[694].speaker SPEAKER_14
transcript.pyannote[694].start 4734.95346875
transcript.pyannote[694].end 4742.53034375
transcript.pyannote[695].speaker SPEAKER_03
transcript.pyannote[695].start 4742.76659375
transcript.pyannote[695].end 4744.97721875
transcript.pyannote[696].speaker SPEAKER_04
transcript.pyannote[696].start 4744.97721875
transcript.pyannote[696].end 4744.99409375
transcript.pyannote[697].speaker SPEAKER_03
transcript.pyannote[697].start 4744.99409375
transcript.pyannote[697].end 4745.06159375
transcript.pyannote[698].speaker SPEAKER_04
transcript.pyannote[698].start 4745.06159375
transcript.pyannote[698].end 4745.66909375
transcript.pyannote[699].speaker SPEAKER_03
transcript.pyannote[699].start 4745.66909375
transcript.pyannote[699].end 4745.82096875
transcript.pyannote[700].speaker SPEAKER_04
transcript.pyannote[700].start 4745.82096875
transcript.pyannote[700].end 4745.97284375
transcript.pyannote[701].speaker SPEAKER_03
transcript.pyannote[701].start 4745.97284375
transcript.pyannote[701].end 4747.03596875
transcript.pyannote[702].speaker SPEAKER_05
transcript.pyannote[702].start 4747.03596875
transcript.pyannote[702].end 4752.79034375
transcript.pyannote[703].speaker SPEAKER_05
transcript.pyannote[703].start 4753.34721875
transcript.pyannote[703].end 4757.65034375
transcript.pyannote[704].speaker SPEAKER_05
transcript.pyannote[704].start 4757.85284375
transcript.pyannote[704].end 4761.17721875
transcript.pyannote[705].speaker SPEAKER_14
transcript.pyannote[705].start 4761.46409375
transcript.pyannote[705].end 4766.49284375
transcript.pyannote[706].speaker SPEAKER_14
transcript.pyannote[706].start 4766.64471875
transcript.pyannote[706].end 4769.46284375
transcript.pyannote[707].speaker SPEAKER_14
transcript.pyannote[707].start 4769.81721875
transcript.pyannote[707].end 4773.51284375
transcript.pyannote[708].speaker SPEAKER_05
transcript.pyannote[708].start 4773.19221875
transcript.pyannote[708].end 4779.03096875
transcript.pyannote[709].speaker SPEAKER_14
transcript.pyannote[709].start 4778.89596875
transcript.pyannote[709].end 4779.95909375
transcript.pyannote[710].speaker SPEAKER_03
transcript.pyannote[710].start 4779.03096875
transcript.pyannote[710].end 4779.46971875
transcript.pyannote[711].speaker SPEAKER_05
transcript.pyannote[711].start 4779.87471875
transcript.pyannote[711].end 4779.89159375
transcript.pyannote[712].speaker SPEAKER_03
transcript.pyannote[712].start 4779.89159375
transcript.pyannote[712].end 4779.94221875
transcript.pyannote[713].speaker SPEAKER_03
transcript.pyannote[713].start 4779.95909375
transcript.pyannote[713].end 4783.33409375
transcript.pyannote[714].speaker SPEAKER_14
transcript.pyannote[714].start 4782.30471875
transcript.pyannote[714].end 4784.36346875
transcript.pyannote[715].speaker SPEAKER_03
transcript.pyannote[715].start 4783.87409375
transcript.pyannote[715].end 4785.03846875
transcript.pyannote[716].speaker SPEAKER_04
transcript.pyannote[716].start 4785.03846875
transcript.pyannote[716].end 4785.27471875
transcript.pyannote[717].speaker SPEAKER_14
transcript.pyannote[717].start 4786.37159375
transcript.pyannote[717].end 4789.05471875
transcript.pyannote[718].speaker SPEAKER_03
transcript.pyannote[718].start 4787.06346875
transcript.pyannote[718].end 4787.09721875
transcript.pyannote[719].speaker SPEAKER_04
transcript.pyannote[719].start 4787.09721875
transcript.pyannote[719].end 4791.90659375
transcript.pyannote[720].speaker SPEAKER_04
transcript.pyannote[720].start 4792.68284375
transcript.pyannote[720].end 4794.52221875
transcript.pyannote[721].speaker SPEAKER_03
transcript.pyannote[721].start 4794.52221875
transcript.pyannote[721].end 4794.65721875
transcript.pyannote[722].speaker SPEAKER_14
transcript.pyannote[722].start 4794.65721875
transcript.pyannote[722].end 4794.67409375
transcript.pyannote[723].speaker SPEAKER_15
transcript.pyannote[723].start 4794.85971875
transcript.pyannote[723].end 4795.18034375
transcript.pyannote[724].speaker SPEAKER_04
transcript.pyannote[724].start 4795.01159375
transcript.pyannote[724].end 4795.06221875
transcript.pyannote[725].speaker SPEAKER_03
transcript.pyannote[725].start 4795.06221875
transcript.pyannote[725].end 4795.21409375
transcript.pyannote[726].speaker SPEAKER_04
transcript.pyannote[726].start 4795.18034375
transcript.pyannote[726].end 4795.80471875
transcript.pyannote[727].speaker SPEAKER_03
transcript.pyannote[727].start 4795.78784375
transcript.pyannote[727].end 4796.36159375
transcript.pyannote[728].speaker SPEAKER_15
transcript.pyannote[728].start 4795.80471875
transcript.pyannote[728].end 4801.25534375
transcript.pyannote[729].speaker SPEAKER_15
transcript.pyannote[729].start 4801.57596875
transcript.pyannote[729].end 4802.13284375
transcript.pyannote[730].speaker SPEAKER_15
transcript.pyannote[730].start 4802.41971875
transcript.pyannote[730].end 4803.22971875
transcript.pyannote[731].speaker SPEAKER_15
transcript.pyannote[731].start 4803.56721875
transcript.pyannote[731].end 4805.37284375
transcript.pyannote[732].speaker SPEAKER_15
transcript.pyannote[732].start 4805.77784375
transcript.pyannote[732].end 4809.54096875
transcript.pyannote[733].speaker SPEAKER_05
transcript.pyannote[733].start 4809.79409375
transcript.pyannote[733].end 4812.03846875
transcript.pyannote[734].speaker SPEAKER_05
transcript.pyannote[734].start 4812.44346875
transcript.pyannote[734].end 4847.45909375
transcript.pyannote[735].speaker SPEAKER_05
transcript.pyannote[735].start 4847.84721875
transcript.pyannote[735].end 4853.48346875
transcript.pyannote[736].speaker SPEAKER_05
transcript.pyannote[736].start 4854.04034375
transcript.pyannote[736].end 4862.34284375
transcript.pyannote[737].speaker SPEAKER_15
transcript.pyannote[737].start 4862.47784375
transcript.pyannote[737].end 4872.29909375
transcript.pyannote[738].speaker SPEAKER_05
transcript.pyannote[738].start 4872.29909375
transcript.pyannote[738].end 4937.21721875
transcript.pyannote[739].speaker SPEAKER_15
transcript.pyannote[739].start 4937.50409375
transcript.pyannote[739].end 4941.31784375
transcript.pyannote[740].speaker SPEAKER_05
transcript.pyannote[740].start 4938.43221875
transcript.pyannote[740].end 4938.88784375
transcript.pyannote[741].speaker SPEAKER_15
transcript.pyannote[741].start 4941.50346875
transcript.pyannote[741].end 4944.76034375
transcript.pyannote[742].speaker SPEAKER_15
transcript.pyannote[742].start 4945.08096875
transcript.pyannote[742].end 4958.47971875
transcript.pyannote[743].speaker SPEAKER_15
transcript.pyannote[743].start 4958.81721875
transcript.pyannote[743].end 4963.60971875
transcript.pyannote[744].speaker SPEAKER_15
transcript.pyannote[744].start 4964.06534375
transcript.pyannote[744].end 4965.46596875
transcript.pyannote[745].speaker SPEAKER_15
transcript.pyannote[745].start 4965.65159375
transcript.pyannote[745].end 4968.72284375
transcript.pyannote[746].speaker SPEAKER_15
transcript.pyannote[746].start 4969.04346875
transcript.pyannote[746].end 4970.27534375
transcript.pyannote[747].speaker SPEAKER_15
transcript.pyannote[747].start 4970.49471875
transcript.pyannote[747].end 4974.71346875
transcript.pyannote[748].speaker SPEAKER_04
transcript.pyannote[748].start 4974.67971875
transcript.pyannote[748].end 4979.08409375
transcript.pyannote[749].speaker SPEAKER_05
transcript.pyannote[749].start 4979.08409375
transcript.pyannote[749].end 4979.10096875
transcript.pyannote[750].speaker SPEAKER_04
transcript.pyannote[750].start 4979.50596875
transcript.pyannote[750].end 4979.97846875
transcript.pyannote[751].speaker SPEAKER_05
transcript.pyannote[751].start 4979.97846875
transcript.pyannote[751].end 5125.87971875
transcript.pyannote[752].speaker SPEAKER_15
transcript.pyannote[752].start 5125.08659375
transcript.pyannote[752].end 5137.27034375
transcript.pyannote[753].speaker SPEAKER_15
transcript.pyannote[753].start 5137.60784375
transcript.pyannote[753].end 5138.48534375
transcript.pyannote[754].speaker SPEAKER_15
transcript.pyannote[754].start 5138.53596875
transcript.pyannote[754].end 5144.64471875
transcript.pyannote[755].speaker SPEAKER_05
transcript.pyannote[755].start 5140.83096875
transcript.pyannote[755].end 5142.77159375
transcript.pyannote[756].speaker SPEAKER_03
transcript.pyannote[756].start 5142.77159375
transcript.pyannote[756].end 5142.80534375
transcript.pyannote[757].speaker SPEAKER_05
transcript.pyannote[757].start 5143.69971875
transcript.pyannote[757].end 5148.40784375
transcript.pyannote[758].speaker SPEAKER_14
transcript.pyannote[758].start 5149.31909375
transcript.pyannote[758].end 5156.76096875
transcript.pyannote[759].speaker SPEAKER_15
transcript.pyannote[759].start 5150.44971875
transcript.pyannote[759].end 5150.56784375
transcript.pyannote[760].speaker SPEAKER_05
transcript.pyannote[760].start 5155.93409375
transcript.pyannote[760].end 5158.81971875
transcript.pyannote[761].speaker SPEAKER_14
transcript.pyannote[761].start 5157.04784375
transcript.pyannote[761].end 5183.15346875
transcript.pyannote[762].speaker SPEAKER_05
transcript.pyannote[762].start 5161.48596875
transcript.pyannote[762].end 5162.02596875
transcript.pyannote[763].speaker SPEAKER_08
transcript.pyannote[763].start 5162.02596875
transcript.pyannote[763].end 5163.00471875
transcript.pyannote[764].speaker SPEAKER_05
transcript.pyannote[764].start 5182.96784375
transcript.pyannote[764].end 5203.06596875
transcript.pyannote[765].speaker SPEAKER_08
transcript.pyannote[765].start 5183.15346875
transcript.pyannote[765].end 5184.08159375
transcript.pyannote[766].speaker SPEAKER_14
transcript.pyannote[766].start 5184.08159375
transcript.pyannote[766].end 5186.37659375
transcript.pyannote[767].speaker SPEAKER_14
transcript.pyannote[767].start 5186.95034375
transcript.pyannote[767].end 5190.66284375
transcript.pyannote[768].speaker SPEAKER_00
transcript.pyannote[768].start 5190.66284375
transcript.pyannote[768].end 5194.47659375
transcript.pyannote[769].speaker SPEAKER_15
transcript.pyannote[769].start 5200.31534375
transcript.pyannote[769].end 5201.22659375
transcript.pyannote[770].speaker SPEAKER_15
transcript.pyannote[770].start 5203.06596875
transcript.pyannote[770].end 5207.20034375
transcript.pyannote[771].speaker SPEAKER_15
transcript.pyannote[771].start 5207.55471875
transcript.pyannote[771].end 5207.57159375
transcript.pyannote[772].speaker SPEAKER_04
transcript.pyannote[772].start 5207.57159375
transcript.pyannote[772].end 5208.01034375
transcript.pyannote[773].speaker SPEAKER_15
transcript.pyannote[773].start 5207.60534375
transcript.pyannote[773].end 5208.21284375
transcript.pyannote[774].speaker SPEAKER_04
transcript.pyannote[774].start 5208.92159375
transcript.pyannote[774].end 5211.23346875
transcript.pyannote[775].speaker SPEAKER_04
transcript.pyannote[775].start 5211.95909375
transcript.pyannote[775].end 5213.24159375
transcript.pyannote[776].speaker SPEAKER_12
transcript.pyannote[776].start 5212.46534375
transcript.pyannote[776].end 5213.39346875
transcript.pyannote[777].speaker SPEAKER_04
transcript.pyannote[777].start 5213.74784375
transcript.pyannote[777].end 5214.32159375
transcript.pyannote[778].speaker SPEAKER_12
transcript.pyannote[778].start 5215.90784375
transcript.pyannote[778].end 5217.22409375
transcript.pyannote[779].speaker SPEAKER_04
transcript.pyannote[779].start 5216.97096875
transcript.pyannote[779].end 5219.41784375
transcript.pyannote[780].speaker SPEAKER_12
transcript.pyannote[780].start 5219.46846875
transcript.pyannote[780].end 5220.36284375
transcript.pyannote[781].speaker SPEAKER_04
transcript.pyannote[781].start 5220.36284375
transcript.pyannote[781].end 5222.26971875
transcript.pyannote[782].speaker SPEAKER_12
transcript.pyannote[782].start 5221.25721875
transcript.pyannote[782].end 5221.51034375
transcript.pyannote[783].speaker SPEAKER_12
transcript.pyannote[783].start 5222.26971875
transcript.pyannote[783].end 5223.48471875
transcript.pyannote[784].speaker SPEAKER_04
transcript.pyannote[784].start 5223.48471875
transcript.pyannote[784].end 5223.51846875
transcript.pyannote[785].speaker SPEAKER_04
transcript.pyannote[785].start 5224.41284375
transcript.pyannote[785].end 5234.99346875
transcript.pyannote[786].speaker SPEAKER_12
transcript.pyannote[786].start 5234.20034375
transcript.pyannote[786].end 5235.28034375
transcript.pyannote[787].speaker SPEAKER_04
transcript.pyannote[787].start 5235.28034375
transcript.pyannote[787].end 5261.97659375
transcript.pyannote[788].speaker SPEAKER_05
transcript.pyannote[788].start 5261.97659375
transcript.pyannote[788].end 5344.52909375
transcript.pyannote[789].speaker SPEAKER_05
transcript.pyannote[789].start 5344.84971875
transcript.pyannote[789].end 5371.68096875
transcript.pyannote[790].speaker SPEAKER_05
transcript.pyannote[790].start 5371.86659375
transcript.pyannote[790].end 5389.07909375
transcript.pyannote[791].speaker SPEAKER_05
transcript.pyannote[791].start 5389.46721875
transcript.pyannote[791].end 5399.08596875
transcript.pyannote[792].speaker SPEAKER_05
transcript.pyannote[792].start 5399.47409375
transcript.pyannote[792].end 5447.41596875
transcript.pyannote[793].speaker SPEAKER_05
transcript.pyannote[793].start 5447.93909375
transcript.pyannote[793].end 5469.87659375
transcript.pyannote[794].speaker SPEAKER_05
transcript.pyannote[794].start 5470.19721875
transcript.pyannote[794].end 5471.49659375
transcript.pyannote[795].speaker SPEAKER_05
transcript.pyannote[795].start 5471.96909375
transcript.pyannote[795].end 5485.60409375
transcript.pyannote[796].speaker SPEAKER_05
transcript.pyannote[796].start 5485.94159375
transcript.pyannote[796].end 5489.65409375
transcript.pyannote[797].speaker SPEAKER_05
transcript.pyannote[797].start 5490.24471875
transcript.pyannote[797].end 5490.26159375
transcript.pyannote[798].speaker SPEAKER_04
transcript.pyannote[798].start 5490.26159375
transcript.pyannote[798].end 5496.97784375
transcript.pyannote[799].speaker SPEAKER_05
transcript.pyannote[799].start 5496.97784375
transcript.pyannote[799].end 5497.60221875
transcript.pyannote[800].speaker SPEAKER_04
transcript.pyannote[800].start 5497.60221875
transcript.pyannote[800].end 5497.70346875
transcript.pyannote[801].speaker SPEAKER_04
transcript.pyannote[801].start 5497.80471875
transcript.pyannote[801].end 5497.85534375
transcript.pyannote[802].speaker SPEAKER_05
transcript.pyannote[802].start 5497.85534375
transcript.pyannote[802].end 5561.06909375
transcript.pyannote[803].speaker SPEAKER_13
transcript.pyannote[803].start 5561.94659375
transcript.pyannote[803].end 5562.16596875
transcript.pyannote[804].speaker SPEAKER_15
transcript.pyannote[804].start 5562.16596875
transcript.pyannote[804].end 5562.58784375
transcript.pyannote[805].speaker SPEAKER_13
transcript.pyannote[805].start 5563.48221875
transcript.pyannote[805].end 5577.33659375
transcript.pyannote[806].speaker SPEAKER_16
transcript.pyannote[806].start 5582.01096875
transcript.pyannote[806].end 5582.04471875
transcript.pyannote[807].speaker SPEAKER_05
transcript.pyannote[807].start 5582.04471875
transcript.pyannote[807].end 5582.50034375
transcript.pyannote[808].speaker SPEAKER_05
transcript.pyannote[808].start 5582.97284375
transcript.pyannote[808].end 5585.82471875
transcript.pyannote[809].speaker SPEAKER_16
transcript.pyannote[809].start 5585.25096875
transcript.pyannote[809].end 5586.01034375
transcript.pyannote[810].speaker SPEAKER_16
transcript.pyannote[810].start 5586.19596875
transcript.pyannote[810].end 5587.68096875
transcript.pyannote[811].speaker SPEAKER_16
transcript.pyannote[811].start 5588.00159375
transcript.pyannote[811].end 5590.85346875
transcript.pyannote[812].speaker SPEAKER_03
transcript.pyannote[812].start 5589.82409375
transcript.pyannote[812].end 5589.84096875
transcript.pyannote[813].speaker SPEAKER_05
transcript.pyannote[813].start 5589.84096875
transcript.pyannote[813].end 5589.97596875
transcript.pyannote[814].speaker SPEAKER_03
transcript.pyannote[814].start 5589.97596875
transcript.pyannote[814].end 5591.41034375
transcript.pyannote[815].speaker SPEAKER_16
transcript.pyannote[815].start 5591.07284375
transcript.pyannote[815].end 5596.45596875
transcript.pyannote[816].speaker SPEAKER_03
transcript.pyannote[816].start 5595.49409375
transcript.pyannote[816].end 5596.18596875
transcript.pyannote[817].speaker SPEAKER_03
transcript.pyannote[817].start 5596.45596875
transcript.pyannote[817].end 5598.02534375
transcript.pyannote[818].speaker SPEAKER_05
transcript.pyannote[818].start 5598.02534375
transcript.pyannote[818].end 5601.01221875
transcript.pyannote[819].speaker SPEAKER_05
transcript.pyannote[819].start 5601.14721875
transcript.pyannote[819].end 5623.52346875
transcript.pyannote[820].speaker SPEAKER_03
transcript.pyannote[820].start 5615.20409375
transcript.pyannote[820].end 5615.33909375
transcript.pyannote[821].speaker SPEAKER_00
transcript.pyannote[821].start 5615.64284375
transcript.pyannote[821].end 5615.69346875
transcript.pyannote[822].speaker SPEAKER_00
transcript.pyannote[822].start 5615.71034375
transcript.pyannote[822].end 5615.72721875
transcript.pyannote[823].speaker SPEAKER_05
transcript.pyannote[823].start 5623.60784375
transcript.pyannote[823].end 5630.15534375
transcript.pyannote[824].speaker SPEAKER_03
transcript.pyannote[824].start 5627.67471875
transcript.pyannote[824].end 5629.96971875
transcript.pyannote[825].speaker SPEAKER_05
transcript.pyannote[825].start 5630.30721875
transcript.pyannote[825].end 5640.87096875
transcript.pyannote[826].speaker SPEAKER_03
transcript.pyannote[826].start 5634.91409375
transcript.pyannote[826].end 5635.89284375
transcript.pyannote[827].speaker SPEAKER_03
transcript.pyannote[827].start 5638.30596875
transcript.pyannote[827].end 5638.77846875
transcript.pyannote[828].speaker SPEAKER_03
transcript.pyannote[828].start 5638.89659375
transcript.pyannote[828].end 5639.01471875
transcript.pyannote[829].speaker SPEAKER_03
transcript.pyannote[829].start 5639.03159375
transcript.pyannote[829].end 5639.14971875
transcript.pyannote[830].speaker SPEAKER_05
transcript.pyannote[830].start 5641.20846875
transcript.pyannote[830].end 5648.61659375
transcript.pyannote[831].speaker SPEAKER_16
transcript.pyannote[831].start 5649.51096875
transcript.pyannote[831].end 5650.70909375
transcript.pyannote[832].speaker SPEAKER_16
transcript.pyannote[832].start 5650.96221875
transcript.pyannote[832].end 5653.72971875
transcript.pyannote[833].speaker SPEAKER_04
transcript.pyannote[833].start 5654.08409375
transcript.pyannote[833].end 5654.72534375
transcript.pyannote[834].speaker SPEAKER_12
transcript.pyannote[834].start 5660.32784375
transcript.pyannote[834].end 5664.32721875
transcript.pyannote[835].speaker SPEAKER_12
transcript.pyannote[835].start 5665.71096875
transcript.pyannote[835].end 5669.28846875
transcript.pyannote[836].speaker SPEAKER_08
transcript.pyannote[836].start 5681.52284375
transcript.pyannote[836].end 5681.96159375
transcript.pyannote[837].speaker SPEAKER_02
transcript.pyannote[837].start 5687.47971875
transcript.pyannote[837].end 5691.31034375
transcript.pyannote[838].speaker SPEAKER_12
transcript.pyannote[838].start 5691.74909375
transcript.pyannote[838].end 5693.67284375
transcript.pyannote[839].speaker SPEAKER_15
transcript.pyannote[839].start 5705.16471875
transcript.pyannote[839].end 5705.73846875
transcript.pyannote[840].speaker SPEAKER_02
transcript.pyannote[840].start 5705.31659375
transcript.pyannote[840].end 5705.92409375
transcript.pyannote[841].speaker SPEAKER_02
transcript.pyannote[841].start 5706.34596875
transcript.pyannote[841].end 5709.13034375
transcript.pyannote[842].speaker SPEAKER_02
transcript.pyannote[842].start 5709.92346875
transcript.pyannote[842].end 5742.66096875
transcript.pyannote[843].speaker SPEAKER_02
transcript.pyannote[843].start 5742.99846875
transcript.pyannote[843].end 5753.37659375
transcript.pyannote[844].speaker SPEAKER_02
transcript.pyannote[844].start 5753.49471875
transcript.pyannote[844].end 5757.66284375
transcript.pyannote[845].speaker SPEAKER_15
transcript.pyannote[845].start 5758.47284375
transcript.pyannote[845].end 5759.53596875
transcript.pyannote[846].speaker SPEAKER_15
transcript.pyannote[846].start 5760.07596875
transcript.pyannote[846].end 5762.08409375
transcript.pyannote[847].speaker SPEAKER_15
transcript.pyannote[847].start 5762.53971875
transcript.pyannote[847].end 5764.75034375
transcript.pyannote[848].speaker SPEAKER_15
transcript.pyannote[848].start 5765.07096875
transcript.pyannote[848].end 5765.72909375
transcript.pyannote[849].speaker SPEAKER_15
transcript.pyannote[849].start 5765.99909375
transcript.pyannote[849].end 5769.12096875
transcript.pyannote[850].speaker SPEAKER_15
transcript.pyannote[850].start 5769.59346875
transcript.pyannote[850].end 5772.71534375
transcript.pyannote[851].speaker SPEAKER_15
transcript.pyannote[851].start 5773.10346875
transcript.pyannote[851].end 5774.63909375
transcript.pyannote[852].speaker SPEAKER_15
transcript.pyannote[852].start 5775.34784375
transcript.pyannote[852].end 5780.35971875
transcript.pyannote[853].speaker SPEAKER_02
transcript.pyannote[853].start 5780.07284375
transcript.pyannote[853].end 5781.67596875
transcript.pyannote[854].speaker SPEAKER_15
transcript.pyannote[854].start 5780.69721875
transcript.pyannote[854].end 5781.92909375
transcript.pyannote[855].speaker SPEAKER_15
transcript.pyannote[855].start 5782.67159375
transcript.pyannote[855].end 5791.26096875
transcript.pyannote[856].speaker SPEAKER_15
transcript.pyannote[856].start 5791.78409375
transcript.pyannote[856].end 5793.45471875
transcript.pyannote[857].speaker SPEAKER_15
transcript.pyannote[857].start 5793.70784375
transcript.pyannote[857].end 5795.00721875
transcript.pyannote[858].speaker SPEAKER_15
transcript.pyannote[858].start 5795.34471875
transcript.pyannote[858].end 5797.55534375
transcript.pyannote[859].speaker SPEAKER_15
transcript.pyannote[859].start 5797.77471875
transcript.pyannote[859].end 5801.45346875
transcript.pyannote[860].speaker SPEAKER_15
transcript.pyannote[860].start 5801.60534375
transcript.pyannote[860].end 5802.51659375
transcript.pyannote[861].speaker SPEAKER_15
transcript.pyannote[861].start 5802.68534375
transcript.pyannote[861].end 5804.91284375
transcript.pyannote[862].speaker SPEAKER_15
transcript.pyannote[862].start 5805.31784375
transcript.pyannote[862].end 5806.70159375
transcript.pyannote[863].speaker SPEAKER_15
transcript.pyannote[863].start 5807.03909375
transcript.pyannote[863].end 5809.08096875
transcript.pyannote[864].speaker SPEAKER_15
transcript.pyannote[864].start 5809.23284375
transcript.pyannote[864].end 5813.55284375
transcript.pyannote[865].speaker SPEAKER_15
transcript.pyannote[865].start 5814.00846875
transcript.pyannote[865].end 5821.61909375
transcript.pyannote[866].speaker SPEAKER_02
transcript.pyannote[866].start 5821.61909375
transcript.pyannote[866].end 5854.23846875
transcript.pyannote[867].speaker SPEAKER_00
transcript.pyannote[867].start 5835.72659375
transcript.pyannote[867].end 5836.16534375
transcript.pyannote[868].speaker SPEAKER_15
transcript.pyannote[868].start 5854.60971875
transcript.pyannote[868].end 5856.17909375
transcript.pyannote[869].speaker SPEAKER_14
transcript.pyannote[869].start 5856.17909375
transcript.pyannote[869].end 5876.64846875
transcript.pyannote[870].speaker SPEAKER_02
transcript.pyannote[870].start 5869.03784375
transcript.pyannote[870].end 5869.34159375
transcript.pyannote[871].speaker SPEAKER_00
transcript.pyannote[871].start 5869.34159375
transcript.pyannote[871].end 5869.37534375
transcript.pyannote[872].speaker SPEAKER_02
transcript.pyannote[872].start 5874.38721875
transcript.pyannote[872].end 5901.64034375
transcript.pyannote[873].speaker SPEAKER_14
transcript.pyannote[873].start 5897.97846875
transcript.pyannote[873].end 5899.54784375
transcript.pyannote[874].speaker SPEAKER_14
transcript.pyannote[874].start 5899.90221875
transcript.pyannote[874].end 5900.39159375
transcript.pyannote[875].speaker SPEAKER_14
transcript.pyannote[875].start 5900.72909375
transcript.pyannote[875].end 5907.29346875
transcript.pyannote[876].speaker SPEAKER_14
transcript.pyannote[876].start 5907.58034375
transcript.pyannote[876].end 5913.30096875
transcript.pyannote[877].speaker SPEAKER_14
transcript.pyannote[877].start 5913.48659375
transcript.pyannote[877].end 5928.65721875
transcript.pyannote[878].speaker SPEAKER_02
transcript.pyannote[878].start 5928.42096875
transcript.pyannote[878].end 5928.52221875
transcript.pyannote[879].speaker SPEAKER_02
transcript.pyannote[879].start 5928.72471875
transcript.pyannote[879].end 5969.32596875
transcript.pyannote[880].speaker SPEAKER_15
transcript.pyannote[880].start 5970.16971875
transcript.pyannote[880].end 5974.43909375
transcript.pyannote[881].speaker SPEAKER_15
transcript.pyannote[881].start 5974.45596875
transcript.pyannote[881].end 5978.96159375
transcript.pyannote[882].speaker SPEAKER_15
transcript.pyannote[882].start 5979.46784375
transcript.pyannote[882].end 5981.10471875
transcript.pyannote[883].speaker SPEAKER_15
transcript.pyannote[883].start 5981.17221875
transcript.pyannote[883].end 5983.51784375
transcript.pyannote[884].speaker SPEAKER_15
transcript.pyannote[884].start 5983.78784375
transcript.pyannote[884].end 5988.76596875
transcript.pyannote[885].speaker SPEAKER_15
transcript.pyannote[885].start 5989.13721875
transcript.pyannote[885].end 5990.35221875
transcript.pyannote[886].speaker SPEAKER_15
transcript.pyannote[886].start 5990.58846875
transcript.pyannote[886].end 5991.82034375
transcript.pyannote[887].speaker SPEAKER_15
transcript.pyannote[887].start 5992.20846875
transcript.pyannote[887].end 5997.22034375
transcript.pyannote[888].speaker SPEAKER_15
transcript.pyannote[888].start 5997.47346875
transcript.pyannote[888].end 6002.99159375
transcript.pyannote[889].speaker SPEAKER_02
transcript.pyannote[889].start 6002.87346875
transcript.pyannote[889].end 6005.65784375
transcript.pyannote[890].speaker SPEAKER_14
transcript.pyannote[890].start 6002.99159375
transcript.pyannote[890].end 6003.00846875
transcript.pyannote[891].speaker SPEAKER_15
transcript.pyannote[891].start 6005.64096875
transcript.pyannote[891].end 6005.65784375
transcript.pyannote[892].speaker SPEAKER_14
transcript.pyannote[892].start 6005.65784375
transcript.pyannote[892].end 6014.83784375
transcript.pyannote[893].speaker SPEAKER_02
transcript.pyannote[893].start 6013.96034375
transcript.pyannote[893].end 6015.59721875
transcript.pyannote[894].speaker SPEAKER_14
transcript.pyannote[894].start 6015.31034375
transcript.pyannote[894].end 6017.06534375
transcript.pyannote[895].speaker SPEAKER_02
transcript.pyannote[895].start 6016.18784375
transcript.pyannote[895].end 6029.87346875
transcript.pyannote[896].speaker SPEAKER_00
transcript.pyannote[896].start 6023.96721875
transcript.pyannote[896].end 6024.03471875
transcript.pyannote[897].speaker SPEAKER_14
transcript.pyannote[897].start 6024.03471875
transcript.pyannote[897].end 6024.11909375
transcript.pyannote[898].speaker SPEAKER_00
transcript.pyannote[898].start 6024.11909375
transcript.pyannote[898].end 6024.54096875
transcript.pyannote[899].speaker SPEAKER_02
transcript.pyannote[899].start 6030.10971875
transcript.pyannote[899].end 6034.83471875
transcript.pyannote[900].speaker SPEAKER_02
transcript.pyannote[900].start 6035.27346875
transcript.pyannote[900].end 6037.38284375
transcript.pyannote[901].speaker SPEAKER_02
transcript.pyannote[901].start 6037.82159375
transcript.pyannote[901].end 6041.80409375
transcript.pyannote[902].speaker SPEAKER_02
transcript.pyannote[902].start 6042.10784375
transcript.pyannote[902].end 6060.01221875
transcript.pyannote[903].speaker SPEAKER_02
transcript.pyannote[903].start 6060.18096875
transcript.pyannote[903].end 6061.15971875
transcript.pyannote[904].speaker SPEAKER_02
transcript.pyannote[904].start 6061.78409375
transcript.pyannote[904].end 6076.22909375
transcript.pyannote[905].speaker SPEAKER_02
transcript.pyannote[905].start 6076.54971875
transcript.pyannote[905].end 6124.93034375
transcript.pyannote[906].speaker SPEAKER_15
transcript.pyannote[906].start 6125.84159375
transcript.pyannote[906].end 6127.14096875
transcript.pyannote[907].speaker SPEAKER_15
transcript.pyannote[907].start 6127.64721875
transcript.pyannote[907].end 6129.35159375
transcript.pyannote[908].speaker SPEAKER_15
transcript.pyannote[908].start 6130.00971875
transcript.pyannote[908].end 6130.07721875
transcript.pyannote[909].speaker SPEAKER_15
transcript.pyannote[909].start 6130.53284375
transcript.pyannote[909].end 6132.42284375
transcript.pyannote[910].speaker SPEAKER_15
transcript.pyannote[910].start 6132.81096875
transcript.pyannote[910].end 6133.97534375
transcript.pyannote[911].speaker SPEAKER_15
transcript.pyannote[911].start 6134.12721875
transcript.pyannote[911].end 6136.62471875
transcript.pyannote[912].speaker SPEAKER_15
transcript.pyannote[912].start 6137.06346875
transcript.pyannote[912].end 6139.49346875
transcript.pyannote[913].speaker SPEAKER_15
transcript.pyannote[913].start 6139.98284375
transcript.pyannote[913].end 6140.32034375
transcript.pyannote[914].speaker SPEAKER_15
transcript.pyannote[914].start 6140.91096875
transcript.pyannote[914].end 6144.43784375
transcript.pyannote[915].speaker SPEAKER_15
transcript.pyannote[915].start 6144.84284375
transcript.pyannote[915].end 6147.67784375
transcript.pyannote[916].speaker SPEAKER_15
transcript.pyannote[916].start 6148.08284375
transcript.pyannote[916].end 6150.88409375
transcript.pyannote[917].speaker SPEAKER_15
transcript.pyannote[917].start 6151.50846875
transcript.pyannote[917].end 6153.34784375
transcript.pyannote[918].speaker SPEAKER_15
transcript.pyannote[918].start 6153.83721875
transcript.pyannote[918].end 6155.23784375
transcript.pyannote[919].speaker SPEAKER_15
transcript.pyannote[919].start 6155.42346875
transcript.pyannote[919].end 6158.32596875
transcript.pyannote[920].speaker SPEAKER_15
transcript.pyannote[920].start 6158.59596875
transcript.pyannote[920].end 6167.03346875
transcript.pyannote[921].speaker SPEAKER_15
transcript.pyannote[921].start 6167.13471875
transcript.pyannote[921].end 6168.01221875
transcript.pyannote[922].speaker SPEAKER_02
transcript.pyannote[922].start 6168.01221875
transcript.pyannote[922].end 6168.28221875
transcript.pyannote[923].speaker SPEAKER_02
transcript.pyannote[923].start 6168.97409375
transcript.pyannote[923].end 6197.81346875
transcript.pyannote[924].speaker SPEAKER_02
transcript.pyannote[924].start 6198.25221875
transcript.pyannote[924].end 6199.72034375
transcript.pyannote[925].speaker SPEAKER_02
transcript.pyannote[925].start 6200.04096875
transcript.pyannote[925].end 6212.08971875
transcript.pyannote[926].speaker SPEAKER_02
transcript.pyannote[926].start 6212.25846875
transcript.pyannote[926].end 6215.92034375
transcript.pyannote[927].speaker SPEAKER_15
transcript.pyannote[927].start 6216.02159375
transcript.pyannote[927].end 6216.05534375
transcript.pyannote[928].speaker SPEAKER_14
transcript.pyannote[928].start 6216.05534375
transcript.pyannote[928].end 6236.23784375
transcript.pyannote[929].speaker SPEAKER_14
transcript.pyannote[929].start 6236.35596875
transcript.pyannote[929].end 6251.42534375
transcript.pyannote[930].speaker SPEAKER_02
transcript.pyannote[930].start 6249.24846875
transcript.pyannote[930].end 6250.32846875
transcript.pyannote[931].speaker SPEAKER_02
transcript.pyannote[931].start 6250.42971875
transcript.pyannote[931].end 6276.11346875
transcript.pyannote[932].speaker SPEAKER_02
transcript.pyannote[932].start 6276.46784375
transcript.pyannote[932].end 6276.99096875
transcript.pyannote[933].speaker SPEAKER_02
transcript.pyannote[933].start 6277.29471875
transcript.pyannote[933].end 6277.76721875
transcript.pyannote[934].speaker SPEAKER_02
transcript.pyannote[934].start 6278.20596875
transcript.pyannote[934].end 6279.18471875
transcript.pyannote[935].speaker SPEAKER_02
transcript.pyannote[935].start 6280.21409375
transcript.pyannote[935].end 6280.83846875
transcript.pyannote[936].speaker SPEAKER_02
transcript.pyannote[936].start 6281.49659375
transcript.pyannote[936].end 6293.83221875
transcript.pyannote[937].speaker SPEAKER_00
transcript.pyannote[937].start 6289.66409375
transcript.pyannote[937].end 6289.68096875
transcript.pyannote[938].speaker SPEAKER_02
transcript.pyannote[938].start 6294.01784375
transcript.pyannote[938].end 6306.38721875
transcript.pyannote[939].speaker SPEAKER_02
transcript.pyannote[939].start 6307.38284375
transcript.pyannote[939].end 6309.25596875
transcript.pyannote[940].speaker SPEAKER_02
transcript.pyannote[940].start 6309.57659375
transcript.pyannote[940].end 6337.06596875
transcript.pyannote[941].speaker SPEAKER_14
transcript.pyannote[941].start 6337.80846875
transcript.pyannote[941].end 6347.89971875
transcript.pyannote[942].speaker SPEAKER_15
transcript.pyannote[942].start 6346.68471875
transcript.pyannote[942].end 6346.97159375
transcript.pyannote[943].speaker SPEAKER_08
transcript.pyannote[943].start 6346.97159375
transcript.pyannote[943].end 6347.96721875
transcript.pyannote[944].speaker SPEAKER_15
transcript.pyannote[944].start 6347.96721875
transcript.pyannote[944].end 6348.05159375
transcript.pyannote[945].speaker SPEAKER_14
transcript.pyannote[945].start 6348.11909375
transcript.pyannote[945].end 6356.30346875
transcript.pyannote[946].speaker SPEAKER_02
transcript.pyannote[946].start 6354.53159375
transcript.pyannote[946].end 6357.46784375
transcript.pyannote[947].speaker SPEAKER_14
transcript.pyannote[947].start 6357.45096875
transcript.pyannote[947].end 6366.52971875
transcript.pyannote[948].speaker SPEAKER_02
transcript.pyannote[948].start 6366.02346875
transcript.pyannote[948].end 6393.52971875
transcript.pyannote[949].speaker SPEAKER_14
transcript.pyannote[949].start 6367.71096875
transcript.pyannote[949].end 6368.04846875
transcript.pyannote[950].speaker SPEAKER_14
transcript.pyannote[950].start 6368.30159375
transcript.pyannote[950].end 6368.77409375
transcript.pyannote[951].speaker SPEAKER_14
transcript.pyannote[951].start 6370.37721875
transcript.pyannote[951].end 6371.08596875
transcript.pyannote[952].speaker SPEAKER_02
transcript.pyannote[952].start 6393.71534375
transcript.pyannote[952].end 6423.83721875
transcript.pyannote[953].speaker SPEAKER_14
transcript.pyannote[953].start 6422.43659375
transcript.pyannote[953].end 6422.63909375
transcript.pyannote[954].speaker SPEAKER_14
transcript.pyannote[954].start 6424.36034375
transcript.pyannote[954].end 6427.80284375
transcript.pyannote[955].speaker SPEAKER_14
transcript.pyannote[955].start 6427.95471875
transcript.pyannote[955].end 6433.03409375
transcript.pyannote[956].speaker SPEAKER_14
transcript.pyannote[956].start 6433.37159375
transcript.pyannote[956].end 6441.58971875
transcript.pyannote[957].speaker SPEAKER_02
transcript.pyannote[957].start 6441.94409375
transcript.pyannote[957].end 6449.87534375
transcript.pyannote[958].speaker SPEAKER_02
transcript.pyannote[958].start 6450.28034375
transcript.pyannote[958].end 6450.66846875
transcript.pyannote[959].speaker SPEAKER_02
transcript.pyannote[959].start 6451.05659375
transcript.pyannote[959].end 6454.93784375
transcript.pyannote[960].speaker SPEAKER_02
transcript.pyannote[960].start 6455.37659375
transcript.pyannote[960].end 6472.21784375
transcript.pyannote[961].speaker SPEAKER_02
transcript.pyannote[961].start 6472.40346875
transcript.pyannote[961].end 6476.63909375
transcript.pyannote[962].speaker SPEAKER_15
transcript.pyannote[962].start 6477.16221875
transcript.pyannote[962].end 6479.18721875
transcript.pyannote[963].speaker SPEAKER_15
transcript.pyannote[963].start 6479.54159375
transcript.pyannote[963].end 6480.08159375
transcript.pyannote[964].speaker SPEAKER_15
transcript.pyannote[964].start 6480.50346875
transcript.pyannote[964].end 6482.78159375
transcript.pyannote[965].speaker SPEAKER_15
transcript.pyannote[965].start 6482.98409375
transcript.pyannote[965].end 6488.08034375
transcript.pyannote[966].speaker SPEAKER_15
transcript.pyannote[966].start 6488.41784375
transcript.pyannote[966].end 6490.03784375
transcript.pyannote[967].speaker SPEAKER_15
transcript.pyannote[967].start 6490.24034375
transcript.pyannote[967].end 6492.19784375
transcript.pyannote[968].speaker SPEAKER_15
transcript.pyannote[968].start 6492.56909375
transcript.pyannote[968].end 6496.73721875
transcript.pyannote[969].speaker SPEAKER_15
transcript.pyannote[969].start 6496.97346875
transcript.pyannote[969].end 6498.84659375
transcript.pyannote[970].speaker SPEAKER_15
transcript.pyannote[970].start 6499.03221875
transcript.pyannote[970].end 6500.28096875
transcript.pyannote[971].speaker SPEAKER_15
transcript.pyannote[971].start 6500.43284375
transcript.pyannote[971].end 6501.27659375
transcript.pyannote[972].speaker SPEAKER_15
transcript.pyannote[972].start 6501.56346875
transcript.pyannote[972].end 6502.91346875
transcript.pyannote[973].speaker SPEAKER_15
transcript.pyannote[973].start 6503.20034375
transcript.pyannote[973].end 6504.82034375
transcript.pyannote[974].speaker SPEAKER_15
transcript.pyannote[974].start 6505.47846875
transcript.pyannote[974].end 6510.64221875
transcript.pyannote[975].speaker SPEAKER_02
transcript.pyannote[975].start 6510.92909375
transcript.pyannote[975].end 6542.46846875
transcript.pyannote[976].speaker SPEAKER_02
transcript.pyannote[976].start 6542.95784375
transcript.pyannote[976].end 6550.28159375
transcript.pyannote[977].speaker SPEAKER_15
transcript.pyannote[977].start 6550.83846875
transcript.pyannote[977].end 6555.93471875
transcript.pyannote[978].speaker SPEAKER_15
transcript.pyannote[978].start 6556.37346875
transcript.pyannote[978].end 6557.97659375
transcript.pyannote[979].speaker SPEAKER_15
transcript.pyannote[979].start 6558.11159375
transcript.pyannote[979].end 6563.03909375
transcript.pyannote[980].speaker SPEAKER_02
transcript.pyannote[980].start 6562.56659375
transcript.pyannote[980].end 6563.07284375
transcript.pyannote[981].speaker SPEAKER_14
transcript.pyannote[981].start 6563.03909375
transcript.pyannote[981].end 6563.96721875
transcript.pyannote[982].speaker SPEAKER_15
transcript.pyannote[982].start 6563.07284375
transcript.pyannote[982].end 6563.12346875
transcript.pyannote[983].speaker SPEAKER_15
transcript.pyannote[983].start 6563.96721875
transcript.pyannote[983].end 6564.03471875
transcript.pyannote[984].speaker SPEAKER_14
transcript.pyannote[984].start 6564.03471875
transcript.pyannote[984].end 6564.96284375
transcript.pyannote[985].speaker SPEAKER_15
transcript.pyannote[985].start 6564.96284375
transcript.pyannote[985].end 6565.40159375
transcript.pyannote[986].speaker SPEAKER_02
transcript.pyannote[986].start 6565.11471875
transcript.pyannote[986].end 6579.74534375
transcript.pyannote[987].speaker SPEAKER_14
transcript.pyannote[987].start 6565.40159375
transcript.pyannote[987].end 6565.58721875
transcript.pyannote[988].speaker SPEAKER_02
transcript.pyannote[988].start 6580.06596875
transcript.pyannote[988].end 6595.25346875
transcript.pyannote[989].speaker SPEAKER_14
transcript.pyannote[989].start 6596.58659375
transcript.pyannote[989].end 6597.91971875
transcript.pyannote[990].speaker SPEAKER_14
transcript.pyannote[990].start 6598.17284375
transcript.pyannote[990].end 6609.58034375
transcript.pyannote[991].speaker SPEAKER_02
transcript.pyannote[991].start 6599.42159375
transcript.pyannote[991].end 6601.05846875
transcript.pyannote[992].speaker SPEAKER_12
transcript.pyannote[992].start 6618.60846875
transcript.pyannote[992].end 6619.24971875
transcript.pyannote[993].speaker SPEAKER_12
transcript.pyannote[993].start 6624.24471875
transcript.pyannote[993].end 6628.66596875
transcript.pyannote[994].speaker SPEAKER_12
transcript.pyannote[994].start 6630.52221875
transcript.pyannote[994].end 6638.26784375
transcript.pyannote[995].speaker SPEAKER_12
transcript.pyannote[995].start 6641.10284375
transcript.pyannote[995].end 6644.88284375
transcript.pyannote[996].speaker SPEAKER_08
transcript.pyannote[996].start 6641.25471875
transcript.pyannote[996].end 6641.81159375
transcript.pyannote[997].speaker SPEAKER_12
transcript.pyannote[997].start 6645.16971875
transcript.pyannote[997].end 6648.24096875
transcript.pyannote[998].speaker SPEAKER_12
transcript.pyannote[998].start 6648.35909375
transcript.pyannote[998].end 6650.87346875
transcript.pyannote[999].speaker SPEAKER_09
transcript.pyannote[999].start 6664.99784375
transcript.pyannote[999].end 6667.10721875
transcript.pyannote[1000].speaker SPEAKER_12
transcript.pyannote[1000].start 6667.64721875
transcript.pyannote[1000].end 6668.91284375
transcript.pyannote[1001].speaker SPEAKER_15
transcript.pyannote[1001].start 6679.25721875
transcript.pyannote[1001].end 6679.81409375
transcript.pyannote[1002].speaker SPEAKER_09
transcript.pyannote[1002].start 6680.45534375
transcript.pyannote[1002].end 6681.34971875
transcript.pyannote[1003].speaker SPEAKER_09
transcript.pyannote[1003].start 6682.29471875
transcript.pyannote[1003].end 6689.33159375
transcript.pyannote[1004].speaker SPEAKER_15
transcript.pyannote[1004].start 6690.71534375
transcript.pyannote[1004].end 6693.90471875
transcript.pyannote[1005].speaker SPEAKER_09
transcript.pyannote[1005].start 6694.00596875
transcript.pyannote[1005].end 6701.39721875
transcript.pyannote[1006].speaker SPEAKER_15
transcript.pyannote[1006].start 6696.85784375
transcript.pyannote[1006].end 6697.70159375
transcript.pyannote[1007].speaker SPEAKER_15
transcript.pyannote[1007].start 6698.96721875
transcript.pyannote[1007].end 6700.41846875
transcript.pyannote[1008].speaker SPEAKER_09
transcript.pyannote[1008].start 6701.88659375
transcript.pyannote[1008].end 6702.40971875
transcript.pyannote[1009].speaker SPEAKER_09
transcript.pyannote[1009].start 6702.51096875
transcript.pyannote[1009].end 6713.78346875
transcript.pyannote[1010].speaker SPEAKER_09
transcript.pyannote[1010].start 6714.07034375
transcript.pyannote[1010].end 6721.95096875
transcript.pyannote[1011].speaker SPEAKER_15
transcript.pyannote[1011].start 6722.32221875
transcript.pyannote[1011].end 6723.50346875
transcript.pyannote[1012].speaker SPEAKER_09
transcript.pyannote[1012].start 6722.87909375
transcript.pyannote[1012].end 6723.67221875
transcript.pyannote[1013].speaker SPEAKER_15
transcript.pyannote[1013].start 6723.84096875
transcript.pyannote[1013].end 6728.14409375
transcript.pyannote[1014].speaker SPEAKER_15
transcript.pyannote[1014].start 6728.51534375
transcript.pyannote[1014].end 6730.52346875
transcript.pyannote[1015].speaker SPEAKER_09
transcript.pyannote[1015].start 6729.05534375
transcript.pyannote[1015].end 6736.73346875
transcript.pyannote[1016].speaker SPEAKER_15
transcript.pyannote[1016].start 6731.45159375
transcript.pyannote[1016].end 6731.60346875
transcript.pyannote[1017].speaker SPEAKER_14
transcript.pyannote[1017].start 6731.60346875
transcript.pyannote[1017].end 6731.62034375
transcript.pyannote[1018].speaker SPEAKER_15
transcript.pyannote[1018].start 6731.62034375
transcript.pyannote[1018].end 6732.02534375
transcript.pyannote[1019].speaker SPEAKER_14
transcript.pyannote[1019].start 6732.02534375
transcript.pyannote[1019].end 6732.31221875
transcript.pyannote[1020].speaker SPEAKER_15
transcript.pyannote[1020].start 6732.31221875
transcript.pyannote[1020].end 6732.36284375
transcript.pyannote[1021].speaker SPEAKER_14
transcript.pyannote[1021].start 6736.73346875
transcript.pyannote[1021].end 6742.90971875
transcript.pyannote[1022].speaker SPEAKER_09
transcript.pyannote[1022].start 6739.29846875
transcript.pyannote[1022].end 6740.46284375
transcript.pyannote[1023].speaker SPEAKER_09
transcript.pyannote[1023].start 6740.76659375
transcript.pyannote[1023].end 6754.04721875
transcript.pyannote[1024].speaker SPEAKER_09
transcript.pyannote[1024].start 6754.06409375
transcript.pyannote[1024].end 6759.27846875
transcript.pyannote[1025].speaker SPEAKER_09
transcript.pyannote[1025].start 6759.48096875
transcript.pyannote[1025].end 6760.91534375
transcript.pyannote[1026].speaker SPEAKER_09
transcript.pyannote[1026].start 6761.15159375
transcript.pyannote[1026].end 6769.96034375
transcript.pyannote[1027].speaker SPEAKER_09
transcript.pyannote[1027].start 6770.21346875
transcript.pyannote[1027].end 6779.49471875
transcript.pyannote[1028].speaker SPEAKER_09
transcript.pyannote[1028].start 6779.78159375
transcript.pyannote[1028].end 6799.23846875
transcript.pyannote[1029].speaker SPEAKER_14
transcript.pyannote[1029].start 6800.84159375
transcript.pyannote[1029].end 6800.89221875
transcript.pyannote[1030].speaker SPEAKER_15
transcript.pyannote[1030].start 6800.89221875
transcript.pyannote[1030].end 6801.88784375
transcript.pyannote[1031].speaker SPEAKER_09
transcript.pyannote[1031].start 6801.88784375
transcript.pyannote[1031].end 6805.00971875
transcript.pyannote[1032].speaker SPEAKER_15
transcript.pyannote[1032].start 6801.90471875
transcript.pyannote[1032].end 6802.57971875
transcript.pyannote[1033].speaker SPEAKER_15
transcript.pyannote[1033].start 6805.00971875
transcript.pyannote[1033].end 6808.43534375
transcript.pyannote[1034].speaker SPEAKER_15
transcript.pyannote[1034].start 6808.67159375
transcript.pyannote[1034].end 6810.27471875
transcript.pyannote[1035].speaker SPEAKER_09
transcript.pyannote[1035].start 6808.68846875
transcript.pyannote[1035].end 6814.47659375
transcript.pyannote[1036].speaker SPEAKER_15
transcript.pyannote[1036].start 6813.49784375
transcript.pyannote[1036].end 6815.47221875
transcript.pyannote[1037].speaker SPEAKER_15
transcript.pyannote[1037].start 6816.80534375
transcript.pyannote[1037].end 6822.10409375
transcript.pyannote[1038].speaker SPEAKER_09
transcript.pyannote[1038].start 6820.51784375
transcript.pyannote[1038].end 6820.58534375
transcript.pyannote[1039].speaker SPEAKER_09
transcript.pyannote[1039].start 6821.09159375
transcript.pyannote[1039].end 6824.88846875
transcript.pyannote[1040].speaker SPEAKER_15
transcript.pyannote[1040].start 6822.91409375
transcript.pyannote[1040].end 6830.33909375
transcript.pyannote[1041].speaker SPEAKER_09
transcript.pyannote[1041].start 6828.28034375
transcript.pyannote[1041].end 6834.65909375
transcript.pyannote[1042].speaker SPEAKER_15
transcript.pyannote[1042].start 6833.54534375
transcript.pyannote[1042].end 6833.57909375
transcript.pyannote[1043].speaker SPEAKER_08
transcript.pyannote[1043].start 6833.57909375
transcript.pyannote[1043].end 6834.94596875
transcript.pyannote[1044].speaker SPEAKER_09
transcript.pyannote[1044].start 6834.94596875
transcript.pyannote[1044].end 6851.28096875
transcript.pyannote[1045].speaker SPEAKER_08
transcript.pyannote[1045].start 6834.97971875
transcript.pyannote[1045].end 6835.01346875
transcript.pyannote[1046].speaker SPEAKER_09
transcript.pyannote[1046].start 6851.55096875
transcript.pyannote[1046].end 6857.32221875
transcript.pyannote[1047].speaker SPEAKER_09
transcript.pyannote[1047].start 6857.81159375
transcript.pyannote[1047].end 6859.71846875
transcript.pyannote[1048].speaker SPEAKER_15
transcript.pyannote[1048].start 6860.15721875
transcript.pyannote[1048].end 6865.40534375
transcript.pyannote[1049].speaker SPEAKER_15
transcript.pyannote[1049].start 6865.65846875
transcript.pyannote[1049].end 6874.06221875
transcript.pyannote[1050].speaker SPEAKER_08
transcript.pyannote[1050].start 6871.29471875
transcript.pyannote[1050].end 6872.44221875
transcript.pyannote[1051].speaker SPEAKER_15
transcript.pyannote[1051].start 6874.19721875
transcript.pyannote[1051].end 6875.07471875
transcript.pyannote[1052].speaker SPEAKER_15
transcript.pyannote[1052].start 6875.15909375
transcript.pyannote[1052].end 6877.52159375
transcript.pyannote[1053].speaker SPEAKER_15
transcript.pyannote[1053].start 6878.06159375
transcript.pyannote[1053].end 6878.41596875
transcript.pyannote[1054].speaker SPEAKER_15
transcript.pyannote[1054].start 6879.09096875
transcript.pyannote[1054].end 6880.45784375
transcript.pyannote[1055].speaker SPEAKER_15
transcript.pyannote[1055].start 6881.16659375
transcript.pyannote[1055].end 6882.34784375
transcript.pyannote[1056].speaker SPEAKER_15
transcript.pyannote[1056].start 6882.58409375
transcript.pyannote[1056].end 6883.57971875
transcript.pyannote[1057].speaker SPEAKER_15
transcript.pyannote[1057].start 6883.90034375
transcript.pyannote[1057].end 6888.23721875
transcript.pyannote[1058].speaker SPEAKER_09
transcript.pyannote[1058].start 6887.41034375
transcript.pyannote[1058].end 6888.11909375
transcript.pyannote[1059].speaker SPEAKER_09
transcript.pyannote[1059].start 6888.49034375
transcript.pyannote[1059].end 6926.08784375
transcript.pyannote[1060].speaker SPEAKER_15
transcript.pyannote[1060].start 6891.17346875
transcript.pyannote[1060].end 6891.64596875
transcript.pyannote[1061].speaker SPEAKER_09
transcript.pyannote[1061].start 6926.27346875
transcript.pyannote[1061].end 6942.74346875
transcript.pyannote[1062].speaker SPEAKER_09
transcript.pyannote[1062].start 6942.97971875
transcript.pyannote[1062].end 6950.79284375
transcript.pyannote[1063].speaker SPEAKER_15
transcript.pyannote[1063].start 6950.79284375
transcript.pyannote[1063].end 6950.80971875
transcript.pyannote[1064].speaker SPEAKER_09
transcript.pyannote[1064].start 6950.80971875
transcript.pyannote[1064].end 6950.84346875
transcript.pyannote[1065].speaker SPEAKER_15
transcript.pyannote[1065].start 6950.84346875
transcript.pyannote[1065].end 6960.96846875
transcript.pyannote[1066].speaker SPEAKER_09
transcript.pyannote[1066].start 6956.69909375
transcript.pyannote[1066].end 6956.95221875
transcript.pyannote[1067].speaker SPEAKER_09
transcript.pyannote[1067].start 6959.60159375
transcript.pyannote[1067].end 6973.48971875
transcript.pyannote[1068].speaker SPEAKER_15
transcript.pyannote[1068].start 6961.12034375
transcript.pyannote[1068].end 6961.35659375
transcript.pyannote[1069].speaker SPEAKER_15
transcript.pyannote[1069].start 6966.50346875
transcript.pyannote[1069].end 6967.60034375
transcript.pyannote[1070].speaker SPEAKER_09
transcript.pyannote[1070].start 6973.55721875
transcript.pyannote[1070].end 6973.57409375
transcript.pyannote[1071].speaker SPEAKER_15
transcript.pyannote[1071].start 6973.57409375
transcript.pyannote[1071].end 6980.83034375
transcript.pyannote[1072].speaker SPEAKER_09
transcript.pyannote[1072].start 6975.91971875
transcript.pyannote[1072].end 6976.93221875
transcript.pyannote[1073].speaker SPEAKER_09
transcript.pyannote[1073].start 6980.12159375
transcript.pyannote[1073].end 6980.40846875
transcript.pyannote[1074].speaker SPEAKER_09
transcript.pyannote[1074].start 6980.83034375
transcript.pyannote[1074].end 6981.10034375
transcript.pyannote[1075].speaker SPEAKER_15
transcript.pyannote[1075].start 6981.10034375
transcript.pyannote[1075].end 6983.61471875
transcript.pyannote[1076].speaker SPEAKER_09
transcript.pyannote[1076].start 6982.02846875
transcript.pyannote[1076].end 6982.07909375
transcript.pyannote[1077].speaker SPEAKER_09
transcript.pyannote[1077].start 6983.37846875
transcript.pyannote[1077].end 6986.63534375
transcript.pyannote[1078].speaker SPEAKER_15
transcript.pyannote[1078].start 6986.92221875
transcript.pyannote[1078].end 6992.37284375
transcript.pyannote[1079].speaker SPEAKER_09
transcript.pyannote[1079].start 6988.93034375
transcript.pyannote[1079].end 6990.70221875
transcript.pyannote[1080].speaker SPEAKER_09
transcript.pyannote[1080].start 6990.71909375
transcript.pyannote[1080].end 6994.36409375
transcript.pyannote[1081].speaker SPEAKER_09
transcript.pyannote[1081].start 6994.83659375
transcript.pyannote[1081].end 6995.98409375
transcript.pyannote[1082].speaker SPEAKER_09
transcript.pyannote[1082].start 6996.11909375
transcript.pyannote[1082].end 6998.48159375
transcript.pyannote[1083].speaker SPEAKER_15
transcript.pyannote[1083].start 6996.28784375
transcript.pyannote[1083].end 6996.91221875
transcript.pyannote[1084].speaker SPEAKER_15
transcript.pyannote[1084].start 6998.48159375
transcript.pyannote[1084].end 7003.08846875
transcript.pyannote[1085].speaker SPEAKER_09
transcript.pyannote[1085].start 7003.08846875
transcript.pyannote[1085].end 7014.46221875
transcript.pyannote[1086].speaker SPEAKER_15
transcript.pyannote[1086].start 7006.36221875
transcript.pyannote[1086].end 7006.95284375
transcript.pyannote[1087].speaker SPEAKER_08
transcript.pyannote[1087].start 7013.65221875
transcript.pyannote[1087].end 7014.17534375
transcript.pyannote[1088].speaker SPEAKER_09
transcript.pyannote[1088].start 7014.64784375
transcript.pyannote[1088].end 7025.95409375
transcript.pyannote[1089].speaker SPEAKER_08
transcript.pyannote[1089].start 7015.03596875
transcript.pyannote[1089].end 7015.08659375
transcript.pyannote[1090].speaker SPEAKER_08
transcript.pyannote[1090].start 7025.95409375
transcript.pyannote[1090].end 7026.03846875
transcript.pyannote[1091].speaker SPEAKER_09
transcript.pyannote[1091].start 7026.03846875
transcript.pyannote[1091].end 7027.67534375
transcript.pyannote[1092].speaker SPEAKER_14
transcript.pyannote[1092].start 7026.13971875
transcript.pyannote[1092].end 7039.40346875
transcript.pyannote[1093].speaker SPEAKER_08
transcript.pyannote[1093].start 7034.15534375
transcript.pyannote[1093].end 7034.22284375
transcript.pyannote[1094].speaker SPEAKER_09
transcript.pyannote[1094].start 7034.22284375
transcript.pyannote[1094].end 7035.03284375
transcript.pyannote[1095].speaker SPEAKER_08
transcript.pyannote[1095].start 7035.03284375
transcript.pyannote[1095].end 7035.10034375
transcript.pyannote[1096].speaker SPEAKER_09
transcript.pyannote[1096].start 7035.10034375
transcript.pyannote[1096].end 7035.64034375
transcript.pyannote[1097].speaker SPEAKER_09
transcript.pyannote[1097].start 7036.61909375
transcript.pyannote[1097].end 7042.55909375
transcript.pyannote[1098].speaker SPEAKER_15
transcript.pyannote[1098].start 7041.98534375
transcript.pyannote[1098].end 7042.39034375
transcript.pyannote[1099].speaker SPEAKER_15
transcript.pyannote[1099].start 7042.55909375
transcript.pyannote[1099].end 7047.38534375
transcript.pyannote[1100].speaker SPEAKER_09
transcript.pyannote[1100].start 7042.93034375
transcript.pyannote[1100].end 7042.98096875
transcript.pyannote[1101].speaker SPEAKER_09
transcript.pyannote[1101].start 7043.01471875
transcript.pyannote[1101].end 7043.08221875
transcript.pyannote[1102].speaker SPEAKER_09
transcript.pyannote[1102].start 7045.69784375
transcript.pyannote[1102].end 7049.27534375
transcript.pyannote[1103].speaker SPEAKER_09
transcript.pyannote[1103].start 7049.64659375
transcript.pyannote[1103].end 7052.16096875
transcript.pyannote[1104].speaker SPEAKER_09
transcript.pyannote[1104].start 7052.61659375
transcript.pyannote[1104].end 7060.19346875
transcript.pyannote[1105].speaker SPEAKER_09
transcript.pyannote[1105].start 7060.34534375
transcript.pyannote[1105].end 7071.60096875
transcript.pyannote[1106].speaker SPEAKER_09
transcript.pyannote[1106].start 7072.20846875
transcript.pyannote[1106].end 7090.02846875
transcript.pyannote[1107].speaker SPEAKER_09
transcript.pyannote[1107].start 7090.34909375
transcript.pyannote[1107].end 7104.13596875
transcript.pyannote[1108].speaker SPEAKER_09
transcript.pyannote[1108].start 7104.60846875
transcript.pyannote[1108].end 7106.56596875
transcript.pyannote[1109].speaker SPEAKER_09
transcript.pyannote[1109].start 7106.75159375
transcript.pyannote[1109].end 7107.39284375
transcript.pyannote[1110].speaker SPEAKER_09
transcript.pyannote[1110].start 7108.27034375
transcript.pyannote[1110].end 7109.85659375
transcript.pyannote[1111].speaker SPEAKER_09
transcript.pyannote[1111].start 7110.12659375
transcript.pyannote[1111].end 7115.93159375
transcript.pyannote[1112].speaker SPEAKER_09
transcript.pyannote[1112].start 7116.21846875
transcript.pyannote[1112].end 7131.55784375
transcript.pyannote[1113].speaker SPEAKER_09
transcript.pyannote[1113].start 7131.97971875
transcript.pyannote[1113].end 7133.63346875
transcript.pyannote[1114].speaker SPEAKER_15
transcript.pyannote[1114].start 7133.63346875
transcript.pyannote[1114].end 7137.68346875
transcript.pyannote[1115].speaker SPEAKER_15
transcript.pyannote[1115].start 7138.02096875
transcript.pyannote[1115].end 7141.29471875
transcript.pyannote[1116].speaker SPEAKER_15
transcript.pyannote[1116].start 7141.75034375
transcript.pyannote[1116].end 7142.03721875
transcript.pyannote[1117].speaker SPEAKER_09
transcript.pyannote[1117].start 7142.03721875
transcript.pyannote[1117].end 7148.26409375
transcript.pyannote[1118].speaker SPEAKER_15
transcript.pyannote[1118].start 7142.54346875
transcript.pyannote[1118].end 7143.70784375
transcript.pyannote[1119].speaker SPEAKER_15
transcript.pyannote[1119].start 7146.05346875
transcript.pyannote[1119].end 7147.20096875
transcript.pyannote[1120].speaker SPEAKER_15
transcript.pyannote[1120].start 7147.87596875
transcript.pyannote[1120].end 7166.26971875
transcript.pyannote[1121].speaker SPEAKER_09
transcript.pyannote[1121].start 7160.76846875
transcript.pyannote[1121].end 7163.80596875
transcript.pyannote[1122].speaker SPEAKER_09
transcript.pyannote[1122].start 7165.22346875
transcript.pyannote[1122].end 7169.08784375
transcript.pyannote[1123].speaker SPEAKER_15
transcript.pyannote[1123].start 7167.43409375
transcript.pyannote[1123].end 7167.46784375
transcript.pyannote[1124].speaker SPEAKER_15
transcript.pyannote[1124].start 7168.14284375
transcript.pyannote[1124].end 7174.48784375
transcript.pyannote[1125].speaker SPEAKER_09
transcript.pyannote[1125].start 7170.64034375
transcript.pyannote[1125].end 7171.82159375
transcript.pyannote[1126].speaker SPEAKER_09
transcript.pyannote[1126].start 7172.73284375
transcript.pyannote[1126].end 7173.12096875
transcript.pyannote[1127].speaker SPEAKER_09
transcript.pyannote[1127].start 7173.18846875
transcript.pyannote[1127].end 7182.30096875
transcript.pyannote[1128].speaker SPEAKER_15
transcript.pyannote[1128].start 7174.77471875
transcript.pyannote[1128].end 7177.44096875
transcript.pyannote[1129].speaker SPEAKER_15
transcript.pyannote[1129].start 7178.30159375
transcript.pyannote[1129].end 7178.97659375
transcript.pyannote[1130].speaker SPEAKER_09
transcript.pyannote[1130].start 7182.60471875
transcript.pyannote[1130].end 7185.82784375
transcript.pyannote[1131].speaker SPEAKER_09
transcript.pyannote[1131].start 7185.97971875
transcript.pyannote[1131].end 7190.51909375
transcript.pyannote[1132].speaker SPEAKER_00
transcript.pyannote[1132].start 7186.23284375
transcript.pyannote[1132].end 7186.40159375
transcript.pyannote[1133].speaker SPEAKER_09
transcript.pyannote[1133].start 7190.70471875
transcript.pyannote[1133].end 7195.78409375
transcript.pyannote[1134].speaker SPEAKER_00
transcript.pyannote[1134].start 7192.56096875
transcript.pyannote[1134].end 7192.67909375
transcript.pyannote[1135].speaker SPEAKER_00
transcript.pyannote[1135].start 7193.05034375
transcript.pyannote[1135].end 7193.70846875
transcript.pyannote[1136].speaker SPEAKER_00
transcript.pyannote[1136].start 7194.09659375
transcript.pyannote[1136].end 7195.04159375
transcript.pyannote[1137].speaker SPEAKER_09
transcript.pyannote[1137].start 7196.34096875
transcript.pyannote[1137].end 7197.53909375
transcript.pyannote[1138].speaker SPEAKER_09
transcript.pyannote[1138].start 7197.87659375
transcript.pyannote[1138].end 7200.52596875
transcript.pyannote[1139].speaker SPEAKER_09
transcript.pyannote[1139].start 7200.81284375
transcript.pyannote[1139].end 7209.75659375
transcript.pyannote[1140].speaker SPEAKER_09
transcript.pyannote[1140].start 7210.00971875
transcript.pyannote[1140].end 7211.54534375
transcript.pyannote[1141].speaker SPEAKER_09
transcript.pyannote[1141].start 7212.11909375
transcript.pyannote[1141].end 7214.90346875
transcript.pyannote[1142].speaker SPEAKER_09
transcript.pyannote[1142].start 7215.12284375
transcript.pyannote[1142].end 7216.91159375
transcript.pyannote[1143].speaker SPEAKER_09
transcript.pyannote[1143].start 7216.92846875
transcript.pyannote[1143].end 7221.36659375
transcript.pyannote[1144].speaker SPEAKER_09
transcript.pyannote[1144].start 7221.87284375
transcript.pyannote[1144].end 7223.44221875
transcript.pyannote[1145].speaker SPEAKER_09
transcript.pyannote[1145].start 7223.81346875
transcript.pyannote[1145].end 7224.85971875
transcript.pyannote[1146].speaker SPEAKER_09
transcript.pyannote[1146].start 7226.41221875
transcript.pyannote[1146].end 7226.71596875
transcript.pyannote[1147].speaker SPEAKER_09
transcript.pyannote[1147].start 7227.37409375
transcript.pyannote[1147].end 7230.61409375
transcript.pyannote[1148].speaker SPEAKER_09
transcript.pyannote[1148].start 7231.32284375
transcript.pyannote[1148].end 7236.73971875
transcript.pyannote[1149].speaker SPEAKER_09
transcript.pyannote[1149].start 7237.11096875
transcript.pyannote[1149].end 7237.44846875
transcript.pyannote[1150].speaker SPEAKER_09
transcript.pyannote[1150].start 7237.93784375
transcript.pyannote[1150].end 7238.71409375
transcript.pyannote[1151].speaker SPEAKER_09
transcript.pyannote[1151].start 7238.95034375
transcript.pyannote[1151].end 7242.40971875
transcript.pyannote[1152].speaker SPEAKER_09
transcript.pyannote[1152].start 7242.81471875
transcript.pyannote[1152].end 7245.64971875
transcript.pyannote[1153].speaker SPEAKER_09
transcript.pyannote[1153].start 7245.78471875
transcript.pyannote[1153].end 7262.71034375
transcript.pyannote[1154].speaker SPEAKER_15
transcript.pyannote[1154].start 7263.26721875
transcript.pyannote[1154].end 7267.51971875
transcript.pyannote[1155].speaker SPEAKER_15
transcript.pyannote[1155].start 7267.99221875
transcript.pyannote[1155].end 7284.54659375
transcript.pyannote[1156].speaker SPEAKER_09
transcript.pyannote[1156].start 7283.77034375
transcript.pyannote[1156].end 7290.01409375
transcript.pyannote[1157].speaker SPEAKER_15
transcript.pyannote[1157].start 7285.99784375
transcript.pyannote[1157].end 7288.73159375
transcript.pyannote[1158].speaker SPEAKER_15
transcript.pyannote[1158].start 7290.01409375
transcript.pyannote[1158].end 7298.41784375
transcript.pyannote[1159].speaker SPEAKER_09
transcript.pyannote[1159].start 7290.06471875
transcript.pyannote[1159].end 7290.11534375
transcript.pyannote[1160].speaker SPEAKER_09
transcript.pyannote[1160].start 7298.38409375
transcript.pyannote[1160].end 7303.24409375
transcript.pyannote[1161].speaker SPEAKER_09
transcript.pyannote[1161].start 7303.41284375
transcript.pyannote[1161].end 7304.93159375
transcript.pyannote[1162].speaker SPEAKER_15
transcript.pyannote[1162].start 7303.83471875
transcript.pyannote[1162].end 7303.93596875
transcript.pyannote[1163].speaker SPEAKER_09
transcript.pyannote[1163].start 7305.38721875
transcript.pyannote[1163].end 7311.37784375
transcript.pyannote[1164].speaker SPEAKER_15
transcript.pyannote[1164].start 7310.16284375
transcript.pyannote[1164].end 7319.41034375
transcript.pyannote[1165].speaker SPEAKER_15
transcript.pyannote[1165].start 7319.73096875
transcript.pyannote[1165].end 7333.87221875
transcript.pyannote[1166].speaker SPEAKER_09
transcript.pyannote[1166].start 7332.42096875
transcript.pyannote[1166].end 7347.00096875
transcript.pyannote[1167].speaker SPEAKER_15
transcript.pyannote[1167].start 7345.92096875
transcript.pyannote[1167].end 7356.23159375
transcript.pyannote[1168].speaker SPEAKER_09
transcript.pyannote[1168].start 7354.12221875
transcript.pyannote[1168].end 7378.40534375
transcript.pyannote[1169].speaker SPEAKER_15
transcript.pyannote[1169].start 7358.13846875
transcript.pyannote[1169].end 7361.34471875
transcript.pyannote[1170].speaker SPEAKER_09
transcript.pyannote[1170].start 7378.54034375
transcript.pyannote[1170].end 7380.98721875
transcript.pyannote[1171].speaker SPEAKER_09
transcript.pyannote[1171].start 7381.08846875
transcript.pyannote[1171].end 7383.11346875
transcript.pyannote[1172].speaker SPEAKER_09
transcript.pyannote[1172].start 7383.14721875
transcript.pyannote[1172].end 7386.26909375
transcript.pyannote[1173].speaker SPEAKER_09
transcript.pyannote[1173].start 7386.38721875
transcript.pyannote[1173].end 7389.74534375
transcript.pyannote[1174].speaker SPEAKER_09
transcript.pyannote[1174].start 7390.01534375
transcript.pyannote[1174].end 7391.61846875
transcript.pyannote[1175].speaker SPEAKER_09
transcript.pyannote[1175].start 7391.70284375
transcript.pyannote[1175].end 7405.00034375
transcript.pyannote[1176].speaker SPEAKER_09
transcript.pyannote[1176].start 7405.20284375
transcript.pyannote[1176].end 7420.57596875
transcript.pyannote[1177].speaker SPEAKER_10
transcript.pyannote[1177].start 7405.32096875
transcript.pyannote[1177].end 7405.69221875
transcript.pyannote[1178].speaker SPEAKER_09
transcript.pyannote[1178].start 7420.77846875
transcript.pyannote[1178].end 7421.67284375
transcript.pyannote[1179].speaker SPEAKER_09
transcript.pyannote[1179].start 7422.04409375
transcript.pyannote[1179].end 7427.22471875
transcript.pyannote[1180].speaker SPEAKER_09
transcript.pyannote[1180].start 7427.27534375
transcript.pyannote[1180].end 7428.45659375
transcript.pyannote[1181].speaker SPEAKER_09
transcript.pyannote[1181].start 7428.97971875
transcript.pyannote[1181].end 7431.02159375
transcript.pyannote[1182].speaker SPEAKER_14
transcript.pyannote[1182].start 7431.62909375
transcript.pyannote[1182].end 7452.77346875
transcript.pyannote[1183].speaker SPEAKER_09
transcript.pyannote[1183].start 7432.05096875
transcript.pyannote[1183].end 7432.64159375
transcript.pyannote[1184].speaker SPEAKER_09
transcript.pyannote[1184].start 7434.88596875
transcript.pyannote[1184].end 7435.17284375
transcript.pyannote[1185].speaker SPEAKER_09
transcript.pyannote[1185].start 7445.17971875
transcript.pyannote[1185].end 7445.73659375
transcript.pyannote[1186].speaker SPEAKER_09
transcript.pyannote[1186].start 7452.01409375
transcript.pyannote[1186].end 7455.47346875
transcript.pyannote[1187].speaker SPEAKER_14
transcript.pyannote[1187].start 7454.96721875
transcript.pyannote[1187].end 7459.89471875
transcript.pyannote[1188].speaker SPEAKER_09
transcript.pyannote[1188].start 7457.51534375
transcript.pyannote[1188].end 7461.16034375
transcript.pyannote[1189].speaker SPEAKER_14
transcript.pyannote[1189].start 7461.16034375
transcript.pyannote[1189].end 7466.72909375
transcript.pyannote[1190].speaker SPEAKER_09
transcript.pyannote[1190].start 7465.61534375
transcript.pyannote[1190].end 7467.75846875
transcript.pyannote[1191].speaker SPEAKER_14
transcript.pyannote[1191].start 7467.75846875
transcript.pyannote[1191].end 7479.53721875
transcript.pyannote[1192].speaker SPEAKER_09
transcript.pyannote[1192].start 7470.27284375
transcript.pyannote[1192].end 7470.94784375
transcript.pyannote[1193].speaker SPEAKER_09
transcript.pyannote[1193].start 7477.09034375
transcript.pyannote[1193].end 7479.52034375
transcript.pyannote[1194].speaker SPEAKER_09
transcript.pyannote[1194].start 7479.53721875
transcript.pyannote[1194].end 7480.27971875
transcript.pyannote[1195].speaker SPEAKER_14
transcript.pyannote[1195].start 7480.27971875
transcript.pyannote[1195].end 7480.31346875
transcript.pyannote[1196].speaker SPEAKER_09
transcript.pyannote[1196].start 7480.31346875
transcript.pyannote[1196].end 7480.39784375
transcript.pyannote[1197].speaker SPEAKER_14
transcript.pyannote[1197].start 7480.39784375
transcript.pyannote[1197].end 7480.53284375
transcript.pyannote[1198].speaker SPEAKER_09
transcript.pyannote[1198].start 7480.53284375
transcript.pyannote[1198].end 7480.56659375
transcript.pyannote[1199].speaker SPEAKER_14
transcript.pyannote[1199].start 7480.56659375
transcript.pyannote[1199].end 7492.02471875
transcript.pyannote[1200].speaker SPEAKER_09
transcript.pyannote[1200].start 7486.96221875
transcript.pyannote[1200].end 7487.58659375
transcript.pyannote[1201].speaker SPEAKER_09
transcript.pyannote[1201].start 7490.55659375
transcript.pyannote[1201].end 7501.76159375
transcript.pyannote[1202].speaker SPEAKER_14
transcript.pyannote[1202].start 7500.02346875
transcript.pyannote[1202].end 7511.92034375
transcript.pyannote[1203].speaker SPEAKER_09
transcript.pyannote[1203].start 7511.92034375
transcript.pyannote[1203].end 7523.04096875
transcript.pyannote[1204].speaker SPEAKER_09
transcript.pyannote[1204].start 7523.49659375
transcript.pyannote[1204].end 7524.15471875
transcript.pyannote[1205].speaker SPEAKER_09
transcript.pyannote[1205].start 7524.64409375
transcript.pyannote[1205].end 7526.83784375
transcript.pyannote[1206].speaker SPEAKER_09
transcript.pyannote[1206].start 7527.17534375
transcript.pyannote[1206].end 7529.97659375
transcript.pyannote[1207].speaker SPEAKER_09
transcript.pyannote[1207].start 7530.29721875
transcript.pyannote[1207].end 7534.75221875
transcript.pyannote[1208].speaker SPEAKER_09
transcript.pyannote[1208].start 7534.93784375
transcript.pyannote[1208].end 7539.69659375
transcript.pyannote[1209].speaker SPEAKER_13
transcript.pyannote[1209].start 7540.64159375
transcript.pyannote[1209].end 7541.21534375
transcript.pyannote[1210].speaker SPEAKER_13
transcript.pyannote[1210].start 7542.05909375
transcript.pyannote[1210].end 7544.62409375
transcript.pyannote[1211].speaker SPEAKER_13
transcript.pyannote[1211].start 7545.26534375
transcript.pyannote[1211].end 7559.25471875
transcript.pyannote[1212].speaker SPEAKER_09
transcript.pyannote[1212].start 7549.23096875
transcript.pyannote[1212].end 7551.13784375
transcript.pyannote[1213].speaker SPEAKER_09
transcript.pyannote[1213].start 7552.92659375
transcript.pyannote[1213].end 7554.88409375
transcript.pyannote[1214].speaker SPEAKER_09
transcript.pyannote[1214].start 7557.06096875
transcript.pyannote[1214].end 7562.17409375
transcript.pyannote[1215].speaker SPEAKER_13
transcript.pyannote[1215].start 7559.98034375
transcript.pyannote[1215].end 7560.04784375
transcript.pyannote[1216].speaker SPEAKER_13
transcript.pyannote[1216].start 7561.11096875
transcript.pyannote[1216].end 7569.53159375
transcript.pyannote[1217].speaker SPEAKER_09
transcript.pyannote[1217].start 7563.81096875
transcript.pyannote[1217].end 7565.86971875
transcript.pyannote[1218].speaker SPEAKER_09
transcript.pyannote[1218].start 7570.02096875
transcript.pyannote[1218].end 7575.21846875
transcript.pyannote[1219].speaker SPEAKER_13
transcript.pyannote[1219].start 7573.56471875
transcript.pyannote[1219].end 7577.68221875
transcript.pyannote[1220].speaker SPEAKER_09
transcript.pyannote[1220].start 7576.46721875
transcript.pyannote[1220].end 7579.08284375
transcript.pyannote[1221].speaker SPEAKER_13
transcript.pyannote[1221].start 7579.42034375
transcript.pyannote[1221].end 7584.07784375
transcript.pyannote[1222].speaker SPEAKER_16
transcript.pyannote[1222].start 7588.97159375
transcript.pyannote[1222].end 7589.03909375
transcript.pyannote[1223].speaker SPEAKER_16
transcript.pyannote[1223].start 7589.96721875
transcript.pyannote[1223].end 7590.03471875
transcript.pyannote[1224].speaker SPEAKER_16
transcript.pyannote[1224].start 7591.23284375
transcript.pyannote[1224].end 7593.47721875
transcript.pyannote[1225].speaker SPEAKER_15
transcript.pyannote[1225].start 7593.47721875
transcript.pyannote[1225].end 7593.57846875
transcript.pyannote[1226].speaker SPEAKER_15
transcript.pyannote[1226].start 7593.74721875
transcript.pyannote[1226].end 7593.76409375
transcript.pyannote[1227].speaker SPEAKER_16
transcript.pyannote[1227].start 7595.97471875
transcript.pyannote[1227].end 7596.34596875
transcript.pyannote[1228].speaker SPEAKER_16
transcript.pyannote[1228].start 7596.80159375
transcript.pyannote[1228].end 7601.94846875
transcript.pyannote[1229].speaker SPEAKER_08
transcript.pyannote[1229].start 7600.24409375
transcript.pyannote[1229].end 7601.79659375
transcript.pyannote[1230].speaker SPEAKER_16
transcript.pyannote[1230].start 7602.50534375
transcript.pyannote[1230].end 7602.79221875
transcript.pyannote[1231].speaker SPEAKER_16
transcript.pyannote[1231].start 7603.12971875
transcript.pyannote[1231].end 7609.45784375
transcript.pyannote[1232].speaker SPEAKER_08
transcript.pyannote[1232].start 7606.11659375
transcript.pyannote[1232].end 7607.43284375
transcript.pyannote[1233].speaker SPEAKER_08
transcript.pyannote[1233].start 7608.27659375
transcript.pyannote[1233].end 7609.05284375
transcript.pyannote[1234].speaker SPEAKER_16
transcript.pyannote[1234].start 7611.02721875
transcript.pyannote[1234].end 7614.63846875
transcript.pyannote[1235].speaker SPEAKER_08
transcript.pyannote[1235].start 7611.63471875
transcript.pyannote[1235].end 7612.02284375
transcript.pyannote[1236].speaker SPEAKER_16
transcript.pyannote[1236].start 7614.75659375
transcript.pyannote[1236].end 7615.00971875
transcript.pyannote[1237].speaker SPEAKER_12
transcript.pyannote[1237].start 7618.41846875
transcript.pyannote[1237].end 7633.94346875
transcript.pyannote[1238].speaker SPEAKER_12
transcript.pyannote[1238].start 8220.61971875
transcript.pyannote[1238].end 8228.01096875
transcript.pyannote[1239].speaker SPEAKER_12
transcript.pyannote[1239].start 8229.95159375
transcript.pyannote[1239].end 8231.14971875
transcript.pyannote[1240].speaker SPEAKER_12
transcript.pyannote[1240].start 8231.58846875
transcript.pyannote[1240].end 8235.73971875
transcript.pyannote[1241].speaker SPEAKER_00
transcript.pyannote[1241].start 8256.09096875
transcript.pyannote[1241].end 8257.10346875
transcript.pyannote[1242].speaker SPEAKER_00
transcript.pyannote[1242].start 8257.67721875
transcript.pyannote[1242].end 8258.87534375
transcript.pyannote[1243].speaker SPEAKER_12
transcript.pyannote[1243].start 8259.02721875
transcript.pyannote[1243].end 8260.30971875
transcript.pyannote[1244].speaker SPEAKER_15
transcript.pyannote[1244].start 8270.68784375
transcript.pyannote[1244].end 8271.27846875
transcript.pyannote[1245].speaker SPEAKER_00
transcript.pyannote[1245].start 8271.70034375
transcript.pyannote[1245].end 8272.39221875
transcript.pyannote[1246].speaker SPEAKER_00
transcript.pyannote[1246].start 8273.28659375
transcript.pyannote[1246].end 8274.78846875
transcript.pyannote[1247].speaker SPEAKER_00
transcript.pyannote[1247].start 8275.05846875
transcript.pyannote[1247].end 8277.97784375
transcript.pyannote[1248].speaker SPEAKER_06
transcript.pyannote[1248].start 8277.97784375
transcript.pyannote[1248].end 8280.59346875
transcript.pyannote[1249].speaker SPEAKER_06
transcript.pyannote[1249].start 8280.98159375
transcript.pyannote[1249].end 8282.92221875
transcript.pyannote[1250].speaker SPEAKER_06
transcript.pyannote[1250].start 8283.46221875
transcript.pyannote[1250].end 8284.52534375
transcript.pyannote[1251].speaker SPEAKER_06
transcript.pyannote[1251].start 8284.93034375
transcript.pyannote[1251].end 8291.24159375
transcript.pyannote[1252].speaker SPEAKER_06
transcript.pyannote[1252].start 8291.73096875
transcript.pyannote[1252].end 8294.83596875
transcript.pyannote[1253].speaker SPEAKER_06
transcript.pyannote[1253].start 8295.37596875
transcript.pyannote[1253].end 8301.02909375
transcript.pyannote[1254].speaker SPEAKER_06
transcript.pyannote[1254].start 8301.48471875
transcript.pyannote[1254].end 8305.45034375
transcript.pyannote[1255].speaker SPEAKER_06
transcript.pyannote[1255].start 8306.09159375
transcript.pyannote[1255].end 8315.55846875
transcript.pyannote[1256].speaker SPEAKER_06
transcript.pyannote[1256].start 8315.72721875
transcript.pyannote[1256].end 8316.03096875
transcript.pyannote[1257].speaker SPEAKER_05
transcript.pyannote[1257].start 8316.03096875
transcript.pyannote[1257].end 8318.79846875
transcript.pyannote[1258].speaker SPEAKER_05
transcript.pyannote[1258].start 8319.15284375
transcript.pyannote[1258].end 8321.56596875
transcript.pyannote[1259].speaker SPEAKER_05
transcript.pyannote[1259].start 8321.81909375
transcript.pyannote[1259].end 8324.11409375
transcript.pyannote[1260].speaker SPEAKER_05
transcript.pyannote[1260].start 8324.60346875
transcript.pyannote[1260].end 8329.37909375
transcript.pyannote[1261].speaker SPEAKER_05
transcript.pyannote[1261].start 8329.80096875
transcript.pyannote[1261].end 8334.39096875
transcript.pyannote[1262].speaker SPEAKER_05
transcript.pyannote[1262].start 8334.81284375
transcript.pyannote[1262].end 8338.60971875
transcript.pyannote[1263].speaker SPEAKER_05
transcript.pyannote[1263].start 8338.94721875
transcript.pyannote[1263].end 8346.60846875
transcript.pyannote[1264].speaker SPEAKER_05
transcript.pyannote[1264].start 8346.92909375
transcript.pyannote[1264].end 8347.90784375
transcript.pyannote[1265].speaker SPEAKER_06
transcript.pyannote[1265].start 8347.90784375
transcript.pyannote[1265].end 8347.92471875
transcript.pyannote[1266].speaker SPEAKER_05
transcript.pyannote[1266].start 8348.66721875
transcript.pyannote[1266].end 8350.96221875
transcript.pyannote[1267].speaker SPEAKER_06
transcript.pyannote[1267].start 8350.96221875
transcript.pyannote[1267].end 8356.02471875
transcript.pyannote[1268].speaker SPEAKER_05
transcript.pyannote[1268].start 8356.02471875
transcript.pyannote[1268].end 8365.32284375
transcript.pyannote[1269].speaker SPEAKER_05
transcript.pyannote[1269].start 8365.42409375
transcript.pyannote[1269].end 8367.87096875
transcript.pyannote[1270].speaker SPEAKER_05
transcript.pyannote[1270].start 8368.24221875
transcript.pyannote[1270].end 8369.69346875
transcript.pyannote[1271].speaker SPEAKER_05
transcript.pyannote[1271].start 8369.91284375
transcript.pyannote[1271].end 8371.56659375
transcript.pyannote[1272].speaker SPEAKER_06
transcript.pyannote[1272].start 8371.56659375
transcript.pyannote[1272].end 8371.61721875
transcript.pyannote[1273].speaker SPEAKER_05
transcript.pyannote[1273].start 8371.61721875
transcript.pyannote[1273].end 8371.97159375
transcript.pyannote[1274].speaker SPEAKER_06
transcript.pyannote[1274].start 8371.97159375
transcript.pyannote[1274].end 8378.02971875
transcript.pyannote[1275].speaker SPEAKER_05
transcript.pyannote[1275].start 8378.02971875
transcript.pyannote[1275].end 8380.74659375
transcript.pyannote[1276].speaker SPEAKER_05
transcript.pyannote[1276].start 8381.23596875
transcript.pyannote[1276].end 8382.01221875
transcript.pyannote[1277].speaker SPEAKER_05
transcript.pyannote[1277].start 8382.16409375
transcript.pyannote[1277].end 8391.71534375
transcript.pyannote[1278].speaker SPEAKER_05
transcript.pyannote[1278].start 8391.98534375
transcript.pyannote[1278].end 8392.77846875
transcript.pyannote[1279].speaker SPEAKER_05
transcript.pyannote[1279].start 8393.25096875
transcript.pyannote[1279].end 8402.92034375
transcript.pyannote[1280].speaker SPEAKER_05
transcript.pyannote[1280].start 8403.42659375
transcript.pyannote[1280].end 8405.19846875
transcript.pyannote[1281].speaker SPEAKER_05
transcript.pyannote[1281].start 8406.00846875
transcript.pyannote[1281].end 8408.74221875
transcript.pyannote[1282].speaker SPEAKER_05
transcript.pyannote[1282].start 8409.45096875
transcript.pyannote[1282].end 8416.13346875
transcript.pyannote[1283].speaker SPEAKER_05
transcript.pyannote[1283].start 8416.84221875
transcript.pyannote[1283].end 8434.96596875
transcript.pyannote[1284].speaker SPEAKER_05
transcript.pyannote[1284].start 8435.25284375
transcript.pyannote[1284].end 8438.59409375
transcript.pyannote[1285].speaker SPEAKER_05
transcript.pyannote[1285].start 8438.94846875
transcript.pyannote[1285].end 8447.79096875
transcript.pyannote[1286].speaker SPEAKER_05
transcript.pyannote[1286].start 8448.36471875
transcript.pyannote[1286].end 8451.53721875
transcript.pyannote[1287].speaker SPEAKER_05
transcript.pyannote[1287].start 8451.94221875
transcript.pyannote[1287].end 8453.84909375
transcript.pyannote[1288].speaker SPEAKER_05
transcript.pyannote[1288].start 8454.67596875
transcript.pyannote[1288].end 8470.31909375
transcript.pyannote[1289].speaker SPEAKER_05
transcript.pyannote[1289].start 8470.50471875
transcript.pyannote[1289].end 8472.96846875
transcript.pyannote[1290].speaker SPEAKER_05
transcript.pyannote[1290].start 8473.20471875
transcript.pyannote[1290].end 8481.43971875
transcript.pyannote[1291].speaker SPEAKER_00
transcript.pyannote[1291].start 8474.06534375
transcript.pyannote[1291].end 8474.36909375
transcript.pyannote[1292].speaker SPEAKER_00
transcript.pyannote[1292].start 8476.29284375
transcript.pyannote[1292].end 8476.59659375
transcript.pyannote[1293].speaker SPEAKER_00
transcript.pyannote[1293].start 8477.03534375
transcript.pyannote[1293].end 8477.42346875
transcript.pyannote[1294].speaker SPEAKER_05
transcript.pyannote[1294].start 8481.65909375
transcript.pyannote[1294].end 8491.41284375
transcript.pyannote[1295].speaker SPEAKER_08
transcript.pyannote[1295].start 8491.41284375
transcript.pyannote[1295].end 8491.83471875
transcript.pyannote[1296].speaker SPEAKER_05
transcript.pyannote[1296].start 8491.56471875
transcript.pyannote[1296].end 8516.86034375
transcript.pyannote[1297].speaker SPEAKER_05
transcript.pyannote[1297].start 8517.31596875
transcript.pyannote[1297].end 8518.96971875
transcript.pyannote[1298].speaker SPEAKER_05
transcript.pyannote[1298].start 8519.10471875
transcript.pyannote[1298].end 8524.28534375
transcript.pyannote[1299].speaker SPEAKER_05
transcript.pyannote[1299].start 8524.74096875
transcript.pyannote[1299].end 8533.36409375
transcript.pyannote[1300].speaker SPEAKER_05
transcript.pyannote[1300].start 8533.53284375
transcript.pyannote[1300].end 8538.94971875
transcript.pyannote[1301].speaker SPEAKER_05
transcript.pyannote[1301].start 8539.27034375
transcript.pyannote[1301].end 8540.90721875
transcript.pyannote[1302].speaker SPEAKER_05
transcript.pyannote[1302].start 8541.39659375
transcript.pyannote[1302].end 8546.96534375
transcript.pyannote[1303].speaker SPEAKER_06
transcript.pyannote[1303].start 8546.96534375
transcript.pyannote[1303].end 8547.03284375
transcript.pyannote[1304].speaker SPEAKER_05
transcript.pyannote[1304].start 8547.03284375
transcript.pyannote[1304].end 8547.97784375
transcript.pyannote[1305].speaker SPEAKER_06
transcript.pyannote[1305].start 8547.97784375
transcript.pyannote[1305].end 8548.02846875
transcript.pyannote[1306].speaker SPEAKER_05
transcript.pyannote[1306].start 8548.02846875
transcript.pyannote[1306].end 8548.97346875
transcript.pyannote[1307].speaker SPEAKER_06
transcript.pyannote[1307].start 8548.97346875
transcript.pyannote[1307].end 8549.02409375
transcript.pyannote[1308].speaker SPEAKER_05
transcript.pyannote[1308].start 8549.02409375
transcript.pyannote[1308].end 8549.96909375
transcript.pyannote[1309].speaker SPEAKER_06
transcript.pyannote[1309].start 8549.96909375
transcript.pyannote[1309].end 8550.03659375
transcript.pyannote[1310].speaker SPEAKER_05
transcript.pyannote[1310].start 8550.03659375
transcript.pyannote[1310].end 8550.82971875
transcript.pyannote[1311].speaker SPEAKER_06
transcript.pyannote[1311].start 8550.82971875
transcript.pyannote[1311].end 8550.86346875
transcript.pyannote[1312].speaker SPEAKER_05
transcript.pyannote[1312].start 8550.86346875
transcript.pyannote[1312].end 8550.96471875
transcript.pyannote[1313].speaker SPEAKER_06
transcript.pyannote[1313].start 8550.96471875
transcript.pyannote[1313].end 8551.03221875
transcript.pyannote[1314].speaker SPEAKER_05
transcript.pyannote[1314].start 8551.03221875
transcript.pyannote[1314].end 8553.10784375
transcript.pyannote[1315].speaker SPEAKER_05
transcript.pyannote[1315].start 8553.58034375
transcript.pyannote[1315].end 8588.00534375
transcript.pyannote[1316].speaker SPEAKER_15
transcript.pyannote[1316].start 8588.51159375
transcript.pyannote[1316].end 8589.55784375
transcript.pyannote[1317].speaker SPEAKER_15
transcript.pyannote[1317].start 8589.70971875
transcript.pyannote[1317].end 8591.48159375
transcript.pyannote[1318].speaker SPEAKER_15
transcript.pyannote[1318].start 8591.78534375
transcript.pyannote[1318].end 8593.82721875
transcript.pyannote[1319].speaker SPEAKER_15
transcript.pyannote[1319].start 8594.01284375
transcript.pyannote[1319].end 8594.90721875
transcript.pyannote[1320].speaker SPEAKER_15
transcript.pyannote[1320].start 8595.12659375
transcript.pyannote[1320].end 8595.98721875
transcript.pyannote[1321].speaker SPEAKER_15
transcript.pyannote[1321].start 8596.51034375
transcript.pyannote[1321].end 8597.16846875
transcript.pyannote[1322].speaker SPEAKER_15
transcript.pyannote[1322].start 8597.52284375
transcript.pyannote[1322].end 8598.21471875
transcript.pyannote[1323].speaker SPEAKER_15
transcript.pyannote[1323].start 8598.63659375
transcript.pyannote[1323].end 8600.25659375
transcript.pyannote[1324].speaker SPEAKER_15
transcript.pyannote[1324].start 8600.52659375
transcript.pyannote[1324].end 8601.47159375
transcript.pyannote[1325].speaker SPEAKER_15
transcript.pyannote[1325].start 8601.74159375
transcript.pyannote[1325].end 8602.48409375
transcript.pyannote[1326].speaker SPEAKER_15
transcript.pyannote[1326].start 8602.78784375
transcript.pyannote[1326].end 8606.24721875
transcript.pyannote[1327].speaker SPEAKER_15
transcript.pyannote[1327].start 8606.53409375
transcript.pyannote[1327].end 8608.52534375
transcript.pyannote[1328].speaker SPEAKER_15
transcript.pyannote[1328].start 8608.79534375
transcript.pyannote[1328].end 8613.03096875
transcript.pyannote[1329].speaker SPEAKER_15
transcript.pyannote[1329].start 8613.14909375
transcript.pyannote[1329].end 8614.68471875
transcript.pyannote[1330].speaker SPEAKER_15
transcript.pyannote[1330].start 8615.29221875
transcript.pyannote[1330].end 8618.16096875
transcript.pyannote[1331].speaker SPEAKER_15
transcript.pyannote[1331].start 8618.39721875
transcript.pyannote[1331].end 8619.27471875
transcript.pyannote[1332].speaker SPEAKER_15
transcript.pyannote[1332].start 8619.59534375
transcript.pyannote[1332].end 8621.72159375
transcript.pyannote[1333].speaker SPEAKER_15
transcript.pyannote[1333].start 8622.24471875
transcript.pyannote[1333].end 8624.03346875
transcript.pyannote[1334].speaker SPEAKER_15
transcript.pyannote[1334].start 8624.37096875
transcript.pyannote[1334].end 8625.65346875
transcript.pyannote[1335].speaker SPEAKER_15
transcript.pyannote[1335].start 8626.02471875
transcript.pyannote[1335].end 8636.47034375
transcript.pyannote[1336].speaker SPEAKER_05
transcript.pyannote[1336].start 8634.37784375
transcript.pyannote[1336].end 8634.78284375
transcript.pyannote[1337].speaker SPEAKER_05
transcript.pyannote[1337].start 8634.83346875
transcript.pyannote[1337].end 8638.79909375
transcript.pyannote[1338].speaker SPEAKER_05
transcript.pyannote[1338].start 8639.05221875
transcript.pyannote[1338].end 8640.82409375
transcript.pyannote[1339].speaker SPEAKER_05
transcript.pyannote[1339].start 8641.33034375
transcript.pyannote[1339].end 8643.38909375
transcript.pyannote[1340].speaker SPEAKER_05
transcript.pyannote[1340].start 8643.99659375
transcript.pyannote[1340].end 8646.27471875
transcript.pyannote[1341].speaker SPEAKER_05
transcript.pyannote[1341].start 8646.69659375
transcript.pyannote[1341].end 8648.08034375
transcript.pyannote[1342].speaker SPEAKER_05
transcript.pyannote[1342].start 8648.13096875
transcript.pyannote[1342].end 8648.14784375
transcript.pyannote[1343].speaker SPEAKER_05
transcript.pyannote[1343].start 8648.21534375
transcript.pyannote[1343].end 8648.23221875
transcript.pyannote[1344].speaker SPEAKER_05
transcript.pyannote[1344].start 8648.24909375
transcript.pyannote[1344].end 8650.66221875
transcript.pyannote[1345].speaker SPEAKER_06
transcript.pyannote[1345].start 8650.66221875
transcript.pyannote[1345].end 8650.67909375
transcript.pyannote[1346].speaker SPEAKER_08
transcript.pyannote[1346].start 8651.16846875
transcript.pyannote[1346].end 8652.01221875
transcript.pyannote[1347].speaker SPEAKER_05
transcript.pyannote[1347].start 8651.48909375
transcript.pyannote[1347].end 8651.52284375
transcript.pyannote[1348].speaker SPEAKER_06
transcript.pyannote[1348].start 8651.52284375
transcript.pyannote[1348].end 8652.55221875
transcript.pyannote[1349].speaker SPEAKER_15
transcript.pyannote[1349].start 8652.01221875
transcript.pyannote[1349].end 8652.02909375
transcript.pyannote[1350].speaker SPEAKER_06
transcript.pyannote[1350].start 8653.39596875
transcript.pyannote[1350].end 8656.75409375
transcript.pyannote[1351].speaker SPEAKER_05
transcript.pyannote[1351].start 8656.75409375
transcript.pyannote[1351].end 8656.78784375
transcript.pyannote[1352].speaker SPEAKER_06
transcript.pyannote[1352].start 8657.14221875
transcript.pyannote[1352].end 8657.15909375
transcript.pyannote[1353].speaker SPEAKER_05
transcript.pyannote[1353].start 8657.15909375
transcript.pyannote[1353].end 8660.01096875
transcript.pyannote[1354].speaker SPEAKER_05
transcript.pyannote[1354].start 8660.06159375
transcript.pyannote[1354].end 8660.07846875
transcript.pyannote[1355].speaker SPEAKER_05
transcript.pyannote[1355].start 8660.11221875
transcript.pyannote[1355].end 8661.20909375
transcript.pyannote[1356].speaker SPEAKER_05
transcript.pyannote[1356].start 8661.93471875
transcript.pyannote[1356].end 8668.12784375
transcript.pyannote[1357].speaker SPEAKER_05
transcript.pyannote[1357].start 8668.38096875
transcript.pyannote[1357].end 8669.81534375
transcript.pyannote[1358].speaker SPEAKER_05
transcript.pyannote[1358].start 8670.18659375
transcript.pyannote[1358].end 8672.34659375
transcript.pyannote[1359].speaker SPEAKER_05
transcript.pyannote[1359].start 8672.76846875
transcript.pyannote[1359].end 8673.83159375
transcript.pyannote[1360].speaker SPEAKER_05
transcript.pyannote[1360].start 8674.01721875
transcript.pyannote[1360].end 8677.96596875
transcript.pyannote[1361].speaker SPEAKER_06
transcript.pyannote[1361].start 8677.91534375
transcript.pyannote[1361].end 8677.93221875
transcript.pyannote[1362].speaker SPEAKER_08
transcript.pyannote[1362].start 8677.93221875
transcript.pyannote[1362].end 8678.23596875
transcript.pyannote[1363].speaker SPEAKER_06
transcript.pyannote[1363].start 8677.96596875
transcript.pyannote[1363].end 8678.06721875
transcript.pyannote[1364].speaker SPEAKER_06
transcript.pyannote[1364].start 8678.23596875
transcript.pyannote[1364].end 8685.10409375
transcript.pyannote[1365].speaker SPEAKER_14
transcript.pyannote[1365].start 8686.35284375
transcript.pyannote[1365].end 8686.38659375
transcript.pyannote[1366].speaker SPEAKER_15
transcript.pyannote[1366].start 8686.38659375
transcript.pyannote[1366].end 8686.65659375
transcript.pyannote[1367].speaker SPEAKER_14
transcript.pyannote[1367].start 8686.65659375
transcript.pyannote[1367].end 8697.55784375
transcript.pyannote[1368].speaker SPEAKER_15
transcript.pyannote[1368].start 8686.79159375
transcript.pyannote[1368].end 8687.55096875
transcript.pyannote[1369].speaker SPEAKER_14
transcript.pyannote[1369].start 8697.86159375
transcript.pyannote[1369].end 8702.23221875
transcript.pyannote[1370].speaker SPEAKER_14
transcript.pyannote[1370].start 8702.63721875
transcript.pyannote[1370].end 8707.17659375
transcript.pyannote[1371].speaker SPEAKER_14
transcript.pyannote[1371].start 8707.49721875
transcript.pyannote[1371].end 8709.43784375
transcript.pyannote[1372].speaker SPEAKER_14
transcript.pyannote[1372].start 8709.50534375
transcript.pyannote[1372].end 8715.37784375
transcript.pyannote[1373].speaker SPEAKER_14
transcript.pyannote[1373].start 8715.68159375
transcript.pyannote[1373].end 8721.62159375
transcript.pyannote[1374].speaker SPEAKER_00
transcript.pyannote[1374].start 8718.43221875
transcript.pyannote[1374].end 8718.71909375
transcript.pyannote[1375].speaker SPEAKER_14
transcript.pyannote[1375].start 8721.89159375
transcript.pyannote[1375].end 8722.73534375
transcript.pyannote[1376].speaker SPEAKER_14
transcript.pyannote[1376].start 8722.78596875
transcript.pyannote[1376].end 8723.86596875
transcript.pyannote[1377].speaker SPEAKER_14
transcript.pyannote[1377].start 8724.27096875
transcript.pyannote[1377].end 8757.32909375
transcript.pyannote[1378].speaker SPEAKER_00
transcript.pyannote[1378].start 8740.48784375
transcript.pyannote[1378].end 8740.65659375
transcript.pyannote[1379].speaker SPEAKER_14
transcript.pyannote[1379].start 8757.85221875
transcript.pyannote[1379].end 8759.92784375
transcript.pyannote[1380].speaker SPEAKER_14
transcript.pyannote[1380].start 8760.04596875
transcript.pyannote[1380].end 8773.03971875
transcript.pyannote[1381].speaker SPEAKER_14
transcript.pyannote[1381].start 8773.44471875
transcript.pyannote[1381].end 8808.17346875
transcript.pyannote[1382].speaker SPEAKER_15
transcript.pyannote[1382].start 8796.78284375
transcript.pyannote[1382].end 8796.85034375
transcript.pyannote[1383].speaker SPEAKER_15
transcript.pyannote[1383].start 8796.86721875
transcript.pyannote[1383].end 8797.35659375
transcript.pyannote[1384].speaker SPEAKER_15
transcript.pyannote[1384].start 8798.60534375
transcript.pyannote[1384].end 8798.97659375
transcript.pyannote[1385].speaker SPEAKER_00
transcript.pyannote[1385].start 8798.97659375
transcript.pyannote[1385].end 8799.31409375
transcript.pyannote[1386].speaker SPEAKER_06
transcript.pyannote[1386].start 8801.15346875
transcript.pyannote[1386].end 8801.49096875
transcript.pyannote[1387].speaker SPEAKER_06
transcript.pyannote[1387].start 8803.02659375
transcript.pyannote[1387].end 8805.20346875
transcript.pyannote[1388].speaker SPEAKER_06
transcript.pyannote[1388].start 8806.48596875
transcript.pyannote[1388].end 8807.38034375
transcript.pyannote[1389].speaker SPEAKER_06
transcript.pyannote[1389].start 8808.46034375
transcript.pyannote[1389].end 8814.02909375
transcript.pyannote[1390].speaker SPEAKER_05
transcript.pyannote[1390].start 8814.02909375
transcript.pyannote[1390].end 8818.19721875
transcript.pyannote[1391].speaker SPEAKER_08
transcript.pyannote[1391].start 8818.19721875
transcript.pyannote[1391].end 8818.51784375
transcript.pyannote[1392].speaker SPEAKER_05
transcript.pyannote[1392].start 8818.45034375
transcript.pyannote[1392].end 8820.20534375
transcript.pyannote[1393].speaker SPEAKER_05
transcript.pyannote[1393].start 8820.76221875
transcript.pyannote[1393].end 8827.56284375
transcript.pyannote[1394].speaker SPEAKER_14
transcript.pyannote[1394].start 8825.25096875
transcript.pyannote[1394].end 8843.45909375
transcript.pyannote[1395].speaker SPEAKER_08
transcript.pyannote[1395].start 8836.74284375
transcript.pyannote[1395].end 8836.75971875
transcript.pyannote[1396].speaker SPEAKER_00
transcript.pyannote[1396].start 8836.75971875
transcript.pyannote[1396].end 8837.16471875
transcript.pyannote[1397].speaker SPEAKER_00
transcript.pyannote[1397].start 8838.16034375
transcript.pyannote[1397].end 8838.17721875
transcript.pyannote[1398].speaker SPEAKER_05
transcript.pyannote[1398].start 8838.17721875
transcript.pyannote[1398].end 8838.56534375
transcript.pyannote[1399].speaker SPEAKER_00
transcript.pyannote[1399].start 8838.56534375
transcript.pyannote[1399].end 8838.58221875
transcript.pyannote[1400].speaker SPEAKER_00
transcript.pyannote[1400].start 8839.76346875
transcript.pyannote[1400].end 8839.78034375
transcript.pyannote[1401].speaker SPEAKER_05
transcript.pyannote[1401].start 8839.78034375
transcript.pyannote[1401].end 8839.89846875
transcript.pyannote[1402].speaker SPEAKER_00
transcript.pyannote[1402].start 8839.89846875
transcript.pyannote[1402].end 8839.96596875
transcript.pyannote[1403].speaker SPEAKER_05
transcript.pyannote[1403].start 8842.61534375
transcript.pyannote[1403].end 8852.50409375
transcript.pyannote[1404].speaker SPEAKER_05
transcript.pyannote[1404].start 8852.75721875
transcript.pyannote[1404].end 8853.98909375
transcript.pyannote[1405].speaker SPEAKER_05
transcript.pyannote[1405].start 8854.59659375
transcript.pyannote[1405].end 8857.48221875
transcript.pyannote[1406].speaker SPEAKER_05
transcript.pyannote[1406].start 8857.71846875
transcript.pyannote[1406].end 8858.86596875
transcript.pyannote[1407].speaker SPEAKER_05
transcript.pyannote[1407].start 8859.27096875
transcript.pyannote[1407].end 8870.32409375
transcript.pyannote[1408].speaker SPEAKER_00
transcript.pyannote[1408].start 8861.65034375
transcript.pyannote[1408].end 8861.97096875
transcript.pyannote[1409].speaker SPEAKER_05
transcript.pyannote[1409].start 8870.64471875
transcript.pyannote[1409].end 8872.80471875
transcript.pyannote[1410].speaker SPEAKER_05
transcript.pyannote[1410].start 8873.07471875
transcript.pyannote[1410].end 8887.92471875
transcript.pyannote[1411].speaker SPEAKER_05
transcript.pyannote[1411].start 8888.17784375
transcript.pyannote[1411].end 8907.92159375
transcript.pyannote[1412].speaker SPEAKER_05
transcript.pyannote[1412].start 8908.39409375
transcript.pyannote[1412].end 8915.90346875
transcript.pyannote[1413].speaker SPEAKER_05
transcript.pyannote[1413].start 8916.13971875
transcript.pyannote[1413].end 8917.52346875
transcript.pyannote[1414].speaker SPEAKER_05
transcript.pyannote[1414].start 8917.84409375
transcript.pyannote[1414].end 8919.41346875
transcript.pyannote[1415].speaker SPEAKER_05
transcript.pyannote[1415].start 8919.75096875
transcript.pyannote[1415].end 8924.07096875
transcript.pyannote[1416].speaker SPEAKER_05
transcript.pyannote[1416].start 8924.37471875
transcript.pyannote[1416].end 8931.36096875
transcript.pyannote[1417].speaker SPEAKER_05
transcript.pyannote[1417].start 8931.96846875
transcript.pyannote[1417].end 8938.80284375
transcript.pyannote[1418].speaker SPEAKER_05
transcript.pyannote[1418].start 8939.07284375
transcript.pyannote[1418].end 8955.08721875
transcript.pyannote[1419].speaker SPEAKER_05
transcript.pyannote[1419].start 8955.12096875
transcript.pyannote[1419].end 8989.69784375
transcript.pyannote[1420].speaker SPEAKER_05
transcript.pyannote[1420].start 8989.84971875
transcript.pyannote[1420].end 8993.96721875
transcript.pyannote[1421].speaker SPEAKER_14
transcript.pyannote[1421].start 8994.49034375
transcript.pyannote[1421].end 9007.97346875
transcript.pyannote[1422].speaker SPEAKER_05
transcript.pyannote[1422].start 9005.45909375
transcript.pyannote[1422].end 9005.84721875
transcript.pyannote[1423].speaker SPEAKER_05
transcript.pyannote[1423].start 9007.97346875
transcript.pyannote[1423].end 9031.85159375
transcript.pyannote[1424].speaker SPEAKER_05
transcript.pyannote[1424].start 9032.08784375
transcript.pyannote[1424].end 9035.90159375
transcript.pyannote[1425].speaker SPEAKER_05
transcript.pyannote[1425].start 9036.57659375
transcript.pyannote[1425].end 9039.83346875
transcript.pyannote[1426].speaker SPEAKER_05
transcript.pyannote[1426].start 9040.06971875
transcript.pyannote[1426].end 9047.91659375
transcript.pyannote[1427].speaker SPEAKER_05
transcript.pyannote[1427].start 9048.65909375
transcript.pyannote[1427].end 9052.86096875
transcript.pyannote[1428].speaker SPEAKER_05
transcript.pyannote[1428].start 9053.26596875
transcript.pyannote[1428].end 9060.03284375
transcript.pyannote[1429].speaker SPEAKER_05
transcript.pyannote[1429].start 9060.04971875
transcript.pyannote[1429].end 9064.52159375
transcript.pyannote[1430].speaker SPEAKER_05
transcript.pyannote[1430].start 9064.99409375
transcript.pyannote[1430].end 9067.69409375
transcript.pyannote[1431].speaker SPEAKER_05
transcript.pyannote[1431].start 9067.94721875
transcript.pyannote[1431].end 9077.11034375
transcript.pyannote[1432].speaker SPEAKER_14
transcript.pyannote[1432].start 9078.03846875
transcript.pyannote[1432].end 9110.11784375
transcript.pyannote[1433].speaker SPEAKER_05
transcript.pyannote[1433].start 9108.76784375
transcript.pyannote[1433].end 9111.24846875
transcript.pyannote[1434].speaker SPEAKER_05
transcript.pyannote[1434].start 9111.45096875
transcript.pyannote[1434].end 9135.29534375
transcript.pyannote[1435].speaker SPEAKER_14
transcript.pyannote[1435].start 9111.92346875
transcript.pyannote[1435].end 9112.26096875
transcript.pyannote[1436].speaker SPEAKER_05
transcript.pyannote[1436].start 9135.37971875
transcript.pyannote[1436].end 9139.00784375
transcript.pyannote[1437].speaker SPEAKER_05
transcript.pyannote[1437].start 9139.34534375
transcript.pyannote[1437].end 9140.96534375
transcript.pyannote[1438].speaker SPEAKER_06
transcript.pyannote[1438].start 9140.96534375
transcript.pyannote[1438].end 9146.17971875
transcript.pyannote[1439].speaker SPEAKER_06
transcript.pyannote[1439].start 9146.38221875
transcript.pyannote[1439].end 9147.02346875
transcript.pyannote[1440].speaker SPEAKER_05
transcript.pyannote[1440].start 9147.02346875
transcript.pyannote[1440].end 9156.01784375
transcript.pyannote[1441].speaker SPEAKER_05
transcript.pyannote[1441].start 9156.25409375
transcript.pyannote[1441].end 9157.55346875
transcript.pyannote[1442].speaker SPEAKER_05
transcript.pyannote[1442].start 9158.00909375
transcript.pyannote[1442].end 9164.70846875
transcript.pyannote[1443].speaker SPEAKER_05
transcript.pyannote[1443].start 9164.79284375
transcript.pyannote[1443].end 9166.10909375
transcript.pyannote[1444].speaker SPEAKER_14
transcript.pyannote[1444].start 9166.71659375
transcript.pyannote[1444].end 9166.75034375
transcript.pyannote[1445].speaker SPEAKER_14
transcript.pyannote[1445].start 9166.96971875
transcript.pyannote[1445].end 9174.96846875
transcript.pyannote[1446].speaker SPEAKER_12
transcript.pyannote[1446].start 9192.18096875
transcript.pyannote[1446].end 9193.02471875
transcript.pyannote[1447].speaker SPEAKER_12
transcript.pyannote[1447].start 9196.46721875
transcript.pyannote[1447].end 9200.46659375
transcript.pyannote[1448].speaker SPEAKER_12
transcript.pyannote[1448].start 9206.27159375
transcript.pyannote[1448].end 9215.33346875
transcript.pyannote[1449].speaker SPEAKER_12
transcript.pyannote[1449].start 9219.06284375
transcript.pyannote[1449].end 9224.17596875
transcript.pyannote[1450].speaker SPEAKER_06
transcript.pyannote[1450].start 9249.58971875
transcript.pyannote[1450].end 9251.76659375
transcript.pyannote[1451].speaker SPEAKER_06
transcript.pyannote[1451].start 9252.08721875
transcript.pyannote[1451].end 9253.82534375
transcript.pyannote[1452].speaker SPEAKER_12
transcript.pyannote[1452].start 9254.02784375
transcript.pyannote[1452].end 9256.08659375
transcript.pyannote[1453].speaker SPEAKER_15
transcript.pyannote[1453].start 9267.98346875
transcript.pyannote[1453].end 9268.64159375
transcript.pyannote[1454].speaker SPEAKER_06
transcript.pyannote[1454].start 9268.74284375
transcript.pyannote[1454].end 9290.08971875
transcript.pyannote[1455].speaker SPEAKER_06
transcript.pyannote[1455].start 9290.93346875
transcript.pyannote[1455].end 9371.30909375
transcript.pyannote[1456].speaker SPEAKER_06
transcript.pyannote[1456].start 9371.74784375
transcript.pyannote[1456].end 9378.53159375
transcript.pyannote[1457].speaker SPEAKER_06
transcript.pyannote[1457].start 9379.00409375
transcript.pyannote[1457].end 9383.57721875
transcript.pyannote[1458].speaker SPEAKER_06
transcript.pyannote[1458].start 9384.03284375
transcript.pyannote[1458].end 9395.35596875
transcript.pyannote[1459].speaker SPEAKER_06
transcript.pyannote[1459].start 9395.72721875
transcript.pyannote[1459].end 9403.23659375
transcript.pyannote[1460].speaker SPEAKER_06
transcript.pyannote[1460].start 9403.89471875
transcript.pyannote[1460].end 9408.19784375
transcript.pyannote[1461].speaker SPEAKER_06
transcript.pyannote[1461].start 9408.50159375
transcript.pyannote[1461].end 9410.03721875
transcript.pyannote[1462].speaker SPEAKER_06
transcript.pyannote[1462].start 9410.32409375
transcript.pyannote[1462].end 9412.23096875
transcript.pyannote[1463].speaker SPEAKER_06
transcript.pyannote[1463].start 9412.55159375
transcript.pyannote[1463].end 9427.73909375
transcript.pyannote[1464].speaker SPEAKER_06
transcript.pyannote[1464].start 9428.04284375
transcript.pyannote[1464].end 9447.21284375
transcript.pyannote[1465].speaker SPEAKER_06
transcript.pyannote[1465].start 9447.51659375
transcript.pyannote[1465].end 9459.07596875
transcript.pyannote[1466].speaker SPEAKER_15
transcript.pyannote[1466].start 9459.95346875
transcript.pyannote[1466].end 9462.80534375
transcript.pyannote[1467].speaker SPEAKER_15
transcript.pyannote[1467].start 9462.97409375
transcript.pyannote[1467].end 9465.70784375
transcript.pyannote[1468].speaker SPEAKER_15
transcript.pyannote[1468].start 9466.23096875
transcript.pyannote[1468].end 9466.97346875
transcript.pyannote[1469].speaker SPEAKER_15
transcript.pyannote[1469].start 9467.07471875
transcript.pyannote[1469].end 9472.71096875
transcript.pyannote[1470].speaker SPEAKER_15
transcript.pyannote[1470].start 9473.01471875
transcript.pyannote[1470].end 9475.56284375
transcript.pyannote[1471].speaker SPEAKER_15
transcript.pyannote[1471].start 9475.88346875
transcript.pyannote[1471].end 9477.67221875
transcript.pyannote[1472].speaker SPEAKER_15
transcript.pyannote[1472].start 9477.79034375
transcript.pyannote[1472].end 9485.56971875
transcript.pyannote[1473].speaker SPEAKER_15
transcript.pyannote[1473].start 9485.80596875
transcript.pyannote[1473].end 9486.66659375
transcript.pyannote[1474].speaker SPEAKER_15
transcript.pyannote[1474].start 9487.34159375
transcript.pyannote[1474].end 9490.24409375
transcript.pyannote[1475].speaker SPEAKER_15
transcript.pyannote[1475].start 9490.46346875
transcript.pyannote[1475].end 9493.02846875
transcript.pyannote[1476].speaker SPEAKER_15
transcript.pyannote[1476].start 9493.36596875
transcript.pyannote[1476].end 9494.10846875
transcript.pyannote[1477].speaker SPEAKER_15
transcript.pyannote[1477].start 9494.34471875
transcript.pyannote[1477].end 9497.17971875
transcript.pyannote[1478].speaker SPEAKER_15
transcript.pyannote[1478].start 9497.36534375
transcript.pyannote[1478].end 9507.54096875
transcript.pyannote[1479].speaker SPEAKER_08
transcript.pyannote[1479].start 9503.28846875
transcript.pyannote[1479].end 9503.84534375
transcript.pyannote[1480].speaker SPEAKER_15
transcript.pyannote[1480].start 9507.96284375
transcript.pyannote[1480].end 9509.34659375
transcript.pyannote[1481].speaker SPEAKER_06
transcript.pyannote[1481].start 9509.19471875
transcript.pyannote[1481].end 9509.22846875
transcript.pyannote[1482].speaker SPEAKER_06
transcript.pyannote[1482].start 9509.26221875
transcript.pyannote[1482].end 9509.97096875
transcript.pyannote[1483].speaker SPEAKER_15
transcript.pyannote[1483].start 9509.36346875
transcript.pyannote[1483].end 9513.90284375
transcript.pyannote[1484].speaker SPEAKER_06
transcript.pyannote[1484].start 9514.22346875
transcript.pyannote[1484].end 9520.14659375
transcript.pyannote[1485].speaker SPEAKER_06
transcript.pyannote[1485].start 9520.46721875
transcript.pyannote[1485].end 9539.87346875
transcript.pyannote[1486].speaker SPEAKER_15
transcript.pyannote[1486].start 9539.65409375
transcript.pyannote[1486].end 9539.82284375
transcript.pyannote[1487].speaker SPEAKER_15
transcript.pyannote[1487].start 9539.87346875
transcript.pyannote[1487].end 9540.02534375
transcript.pyannote[1488].speaker SPEAKER_15
transcript.pyannote[1488].start 9540.26159375
transcript.pyannote[1488].end 9542.13471875
transcript.pyannote[1489].speaker SPEAKER_15
transcript.pyannote[1489].start 9542.77596875
transcript.pyannote[1489].end 9543.85596875
transcript.pyannote[1490].speaker SPEAKER_06
transcript.pyannote[1490].start 9543.85596875
transcript.pyannote[1490].end 9544.21034375
transcript.pyannote[1491].speaker SPEAKER_15
transcript.pyannote[1491].start 9544.21034375
transcript.pyannote[1491].end 9545.07096875
transcript.pyannote[1492].speaker SPEAKER_15
transcript.pyannote[1492].start 9545.44221875
transcript.pyannote[1492].end 9546.74159375
transcript.pyannote[1493].speaker SPEAKER_15
transcript.pyannote[1493].start 9547.06221875
transcript.pyannote[1493].end 9548.78346875
transcript.pyannote[1494].speaker SPEAKER_15
transcript.pyannote[1494].start 9549.17159375
transcript.pyannote[1494].end 9550.28534375
transcript.pyannote[1495].speaker SPEAKER_15
transcript.pyannote[1495].start 9550.72409375
transcript.pyannote[1495].end 9552.00659375
transcript.pyannote[1496].speaker SPEAKER_15
transcript.pyannote[1496].start 9552.27659375
transcript.pyannote[1496].end 9553.49159375
transcript.pyannote[1497].speaker SPEAKER_15
transcript.pyannote[1497].start 9553.93034375
transcript.pyannote[1497].end 9555.44909375
transcript.pyannote[1498].speaker SPEAKER_15
transcript.pyannote[1498].start 9555.70221875
transcript.pyannote[1498].end 9557.35596875
transcript.pyannote[1499].speaker SPEAKER_15
transcript.pyannote[1499].start 9557.38971875
transcript.pyannote[1499].end 9562.06409375
transcript.pyannote[1500].speaker SPEAKER_06
transcript.pyannote[1500].start 9562.50284375
transcript.pyannote[1500].end 9565.94534375
transcript.pyannote[1501].speaker SPEAKER_15
transcript.pyannote[1501].start 9564.66284375
transcript.pyannote[1501].end 9568.25721875
transcript.pyannote[1502].speaker SPEAKER_06
transcript.pyannote[1502].start 9566.83971875
transcript.pyannote[1502].end 9569.94471875
transcript.pyannote[1503].speaker SPEAKER_06
transcript.pyannote[1503].start 9570.13034375
transcript.pyannote[1503].end 9576.01971875
transcript.pyannote[1504].speaker SPEAKER_06
transcript.pyannote[1504].start 9576.20534375
transcript.pyannote[1504].end 9602.22659375
transcript.pyannote[1505].speaker SPEAKER_06
transcript.pyannote[1505].start 9602.56409375
transcript.pyannote[1505].end 9620.40096875
transcript.pyannote[1506].speaker SPEAKER_14
transcript.pyannote[1506].start 9620.55284375
transcript.pyannote[1506].end 9625.19346875
transcript.pyannote[1507].speaker SPEAKER_14
transcript.pyannote[1507].start 9625.42971875
transcript.pyannote[1507].end 9633.56346875
transcript.pyannote[1508].speaker SPEAKER_06
transcript.pyannote[1508].start 9633.44534375
transcript.pyannote[1508].end 9639.52034375
transcript.pyannote[1509].speaker SPEAKER_15
transcript.pyannote[1509].start 9639.26721875
transcript.pyannote[1509].end 9643.65471875
transcript.pyannote[1510].speaker SPEAKER_06
transcript.pyannote[1510].start 9643.87409375
transcript.pyannote[1510].end 9644.65034375
transcript.pyannote[1511].speaker SPEAKER_06
transcript.pyannote[1511].start 9644.97096875
transcript.pyannote[1511].end 9651.53534375
transcript.pyannote[1512].speaker SPEAKER_06
transcript.pyannote[1512].start 9651.94034375
transcript.pyannote[1512].end 9662.95971875
transcript.pyannote[1513].speaker SPEAKER_06
transcript.pyannote[1513].start 9663.29721875
transcript.pyannote[1513].end 9673.43909375
transcript.pyannote[1514].speaker SPEAKER_06
transcript.pyannote[1514].start 9673.81034375
transcript.pyannote[1514].end 9674.19846875
transcript.pyannote[1515].speaker SPEAKER_06
transcript.pyannote[1515].start 9674.78909375
transcript.pyannote[1515].end 9687.46221875
transcript.pyannote[1516].speaker SPEAKER_06
transcript.pyannote[1516].start 9687.71534375
transcript.pyannote[1516].end 9724.51971875
transcript.pyannote[1517].speaker SPEAKER_06
transcript.pyannote[1517].start 9724.77284375
transcript.pyannote[1517].end 9728.28284375
transcript.pyannote[1518].speaker SPEAKER_06
transcript.pyannote[1518].start 9728.33346875
transcript.pyannote[1518].end 9736.63596875
transcript.pyannote[1519].speaker SPEAKER_06
transcript.pyannote[1519].start 9737.05784375
transcript.pyannote[1519].end 9774.63846875
transcript.pyannote[1520].speaker SPEAKER_06
transcript.pyannote[1520].start 9774.99284375
transcript.pyannote[1520].end 9798.31409375
transcript.pyannote[1521].speaker SPEAKER_06
transcript.pyannote[1521].start 9798.83721875
transcript.pyannote[1521].end 9820.72409375
transcript.pyannote[1522].speaker SPEAKER_06
transcript.pyannote[1522].start 9820.97721875
transcript.pyannote[1522].end 9821.73659375
transcript.pyannote[1523].speaker SPEAKER_06
transcript.pyannote[1523].start 9822.14159375
transcript.pyannote[1523].end 9823.37346875
transcript.pyannote[1524].speaker SPEAKER_06
transcript.pyannote[1524].start 9823.60971875
transcript.pyannote[1524].end 9825.58409375
transcript.pyannote[1525].speaker SPEAKER_06
transcript.pyannote[1525].start 9826.15784375
transcript.pyannote[1525].end 9829.36409375
transcript.pyannote[1526].speaker SPEAKER_06
transcript.pyannote[1526].start 9830.00534375
transcript.pyannote[1526].end 9833.31284375
transcript.pyannote[1527].speaker SPEAKER_06
transcript.pyannote[1527].start 9833.78534375
transcript.pyannote[1527].end 9860.56596875
transcript.pyannote[1528].speaker SPEAKER_06
transcript.pyannote[1528].start 9860.76846875
transcript.pyannote[1528].end 9874.18409375
transcript.pyannote[1529].speaker SPEAKER_06
transcript.pyannote[1529].start 9874.97721875
transcript.pyannote[1529].end 9876.54659375
transcript.pyannote[1530].speaker SPEAKER_06
transcript.pyannote[1530].start 9877.01909375
transcript.pyannote[1530].end 9882.95909375
transcript.pyannote[1531].speaker SPEAKER_15
transcript.pyannote[1531].start 9883.56659375
transcript.pyannote[1531].end 9887.19471875
transcript.pyannote[1532].speaker SPEAKER_15
transcript.pyannote[1532].start 9887.48159375
transcript.pyannote[1532].end 9889.32096875
transcript.pyannote[1533].speaker SPEAKER_15
transcript.pyannote[1533].start 9889.77659375
transcript.pyannote[1533].end 9890.56971875
transcript.pyannote[1534].speaker SPEAKER_15
transcript.pyannote[1534].start 9890.92409375
transcript.pyannote[1534].end 9893.33721875
transcript.pyannote[1535].speaker SPEAKER_15
transcript.pyannote[1535].start 9893.55659375
transcript.pyannote[1535].end 9895.09221875
transcript.pyannote[1536].speaker SPEAKER_15
transcript.pyannote[1536].start 9895.12596875
transcript.pyannote[1536].end 9896.25659375
transcript.pyannote[1537].speaker SPEAKER_15
transcript.pyannote[1537].start 9896.71221875
transcript.pyannote[1537].end 9898.06221875
transcript.pyannote[1538].speaker SPEAKER_15
transcript.pyannote[1538].start 9898.46721875
transcript.pyannote[1538].end 9898.92284375
transcript.pyannote[1539].speaker SPEAKER_15
transcript.pyannote[1539].start 9899.27721875
transcript.pyannote[1539].end 9900.86346875
transcript.pyannote[1540].speaker SPEAKER_15
transcript.pyannote[1540].start 9901.28534375
transcript.pyannote[1540].end 9902.80409375
transcript.pyannote[1541].speaker SPEAKER_15
transcript.pyannote[1541].start 9903.36096875
transcript.pyannote[1541].end 9903.79971875
transcript.pyannote[1542].speaker SPEAKER_15
transcript.pyannote[1542].start 9904.50846875
transcript.pyannote[1542].end 9907.81596875
transcript.pyannote[1543].speaker SPEAKER_15
transcript.pyannote[1543].start 9908.23784375
transcript.pyannote[1543].end 9911.08971875
transcript.pyannote[1544].speaker SPEAKER_15
transcript.pyannote[1544].start 9911.41034375
transcript.pyannote[1544].end 9914.54909375
transcript.pyannote[1545].speaker SPEAKER_15
transcript.pyannote[1545].start 9914.75159375
transcript.pyannote[1545].end 9915.88221875
transcript.pyannote[1546].speaker SPEAKER_15
transcript.pyannote[1546].start 9916.30409375
transcript.pyannote[1546].end 9917.24909375
transcript.pyannote[1547].speaker SPEAKER_15
transcript.pyannote[1547].start 9917.70471875
transcript.pyannote[1547].end 9918.88596875
transcript.pyannote[1548].speaker SPEAKER_15
transcript.pyannote[1548].start 9919.12221875
transcript.pyannote[1548].end 9920.99534375
transcript.pyannote[1549].speaker SPEAKER_15
transcript.pyannote[1549].start 9921.40034375
transcript.pyannote[1549].end 9924.45471875
transcript.pyannote[1550].speaker SPEAKER_15
transcript.pyannote[1550].start 9924.89346875
transcript.pyannote[1550].end 9926.90159375
transcript.pyannote[1551].speaker SPEAKER_15
transcript.pyannote[1551].start 9927.25596875
transcript.pyannote[1551].end 9929.87159375
transcript.pyannote[1552].speaker SPEAKER_15
transcript.pyannote[1552].start 9930.12471875
transcript.pyannote[1552].end 9932.75721875
transcript.pyannote[1553].speaker SPEAKER_15
transcript.pyannote[1553].start 9933.22971875
transcript.pyannote[1553].end 9935.59221875
transcript.pyannote[1554].speaker SPEAKER_15
transcript.pyannote[1554].start 9935.79471875
transcript.pyannote[1554].end 9941.19471875
transcript.pyannote[1555].speaker SPEAKER_06
transcript.pyannote[1555].start 9939.76034375
transcript.pyannote[1555].end 9940.99221875
transcript.pyannote[1556].speaker SPEAKER_06
transcript.pyannote[1556].start 9941.09346875
transcript.pyannote[1556].end 9950.42534375
transcript.pyannote[1557].speaker SPEAKER_14
transcript.pyannote[1557].start 9950.66159375
transcript.pyannote[1557].end 9982.38659375
transcript.pyannote[1558].speaker SPEAKER_06
transcript.pyannote[1558].start 9981.27284375
transcript.pyannote[1558].end 9984.96846875
transcript.pyannote[1559].speaker SPEAKER_14
transcript.pyannote[1559].start 9982.87596875
transcript.pyannote[1559].end 9983.28096875
transcript.pyannote[1560].speaker SPEAKER_14
transcript.pyannote[1560].start 9983.78721875
transcript.pyannote[1560].end 9999.97034375
transcript.pyannote[1561].speaker SPEAKER_15
transcript.pyannote[1561].start 9999.98721875
transcript.pyannote[1561].end 10002.33284375
transcript.pyannote[1562].speaker SPEAKER_15
transcript.pyannote[1562].start 10002.60284375
transcript.pyannote[1562].end 10006.07909375
transcript.pyannote[1563].speaker SPEAKER_15
transcript.pyannote[1563].start 10006.26471875
transcript.pyannote[1563].end 10008.17159375
transcript.pyannote[1564].speaker SPEAKER_14
transcript.pyannote[1564].start 10006.41659375
transcript.pyannote[1564].end 10006.73721875
transcript.pyannote[1565].speaker SPEAKER_15
transcript.pyannote[1565].start 10008.28971875
transcript.pyannote[1565].end 10016.37284375
transcript.pyannote[1566].speaker SPEAKER_06
transcript.pyannote[1566].start 10011.49596875
transcript.pyannote[1566].end 10011.76596875
transcript.pyannote[1567].speaker SPEAKER_06
transcript.pyannote[1567].start 10013.65596875
transcript.pyannote[1567].end 10017.03096875
transcript.pyannote[1568].speaker SPEAKER_06
transcript.pyannote[1568].start 10017.35159375
transcript.pyannote[1568].end 10027.71284375
transcript.pyannote[1569].speaker SPEAKER_06
transcript.pyannote[1569].start 10027.98284375
transcript.pyannote[1569].end 10043.98034375
transcript.pyannote[1570].speaker SPEAKER_06
transcript.pyannote[1570].start 10044.26721875
transcript.pyannote[1570].end 10050.62909375
transcript.pyannote[1571].speaker SPEAKER_06
transcript.pyannote[1571].start 10050.89909375
transcript.pyannote[1571].end 10053.95346875
transcript.pyannote[1572].speaker SPEAKER_06
transcript.pyannote[1572].start 10054.30784375
transcript.pyannote[1572].end 10064.87159375
transcript.pyannote[1573].speaker SPEAKER_06
transcript.pyannote[1573].start 10065.07409375
transcript.pyannote[1573].end 10083.40034375
transcript.pyannote[1574].speaker SPEAKER_06
transcript.pyannote[1574].start 10083.67034375
transcript.pyannote[1574].end 10099.33034375
transcript.pyannote[1575].speaker SPEAKER_06
transcript.pyannote[1575].start 10099.75221875
transcript.pyannote[1575].end 10113.89346875
transcript.pyannote[1576].speaker SPEAKER_06
transcript.pyannote[1576].start 10114.65284375
transcript.pyannote[1576].end 10119.24284375
transcript.pyannote[1577].speaker SPEAKER_06
transcript.pyannote[1577].start 10119.51284375
transcript.pyannote[1577].end 10120.57596875
transcript.pyannote[1578].speaker SPEAKER_06
transcript.pyannote[1578].start 10120.84596875
transcript.pyannote[1578].end 10128.33846875
transcript.pyannote[1579].speaker SPEAKER_14
transcript.pyannote[1579].start 10128.69284375
transcript.pyannote[1579].end 10159.72596875
transcript.pyannote[1580].speaker SPEAKER_06
transcript.pyannote[1580].start 10159.96221875
transcript.pyannote[1580].end 10170.93096875
transcript.pyannote[1581].speaker SPEAKER_06
transcript.pyannote[1581].start 10171.52159375
transcript.pyannote[1581].end 10172.53409375
transcript.pyannote[1582].speaker SPEAKER_06
transcript.pyannote[1582].start 10172.82096875
transcript.pyannote[1582].end 10173.85034375
transcript.pyannote[1583].speaker SPEAKER_06
transcript.pyannote[1583].start 10178.96346875
transcript.pyannote[1583].end 10180.31346875
transcript.pyannote[1584].speaker SPEAKER_06
transcript.pyannote[1584].start 10180.76909375
transcript.pyannote[1584].end 10184.76846875
transcript.pyannote[1585].speaker SPEAKER_06
transcript.pyannote[1585].start 10185.05534375
transcript.pyannote[1585].end 10185.88221875
transcript.pyannote[1586].speaker SPEAKER_06
transcript.pyannote[1586].start 10186.27034375
transcript.pyannote[1586].end 10187.02971875
transcript.pyannote[1587].speaker SPEAKER_08
transcript.pyannote[1587].start 10196.96909375
transcript.pyannote[1587].end 10197.03659375
transcript.pyannote[1588].speaker SPEAKER_08
transcript.pyannote[1588].start 10202.63909375
transcript.pyannote[1588].end 10203.31409375
transcript.pyannote[1589].speaker SPEAKER_12
transcript.pyannote[1589].start 10209.87846875
transcript.pyannote[1589].end 10211.05971875
transcript.pyannote[1590].speaker SPEAKER_08
transcript.pyannote[1590].start 10214.68784375
transcript.pyannote[1590].end 10215.80159375
transcript.pyannote[1591].speaker SPEAKER_12
transcript.pyannote[1591].start 10216.86471875
transcript.pyannote[1591].end 10217.80971875
transcript.pyannote[1592].speaker SPEAKER_12
transcript.pyannote[1592].start 10224.40784375
transcript.pyannote[1592].end 10228.49159375
transcript.pyannote[1593].speaker SPEAKER_12
transcript.pyannote[1593].start 10229.63909375
transcript.pyannote[1593].end 10238.31284375
transcript.pyannote[1594].speaker SPEAKER_12
transcript.pyannote[1594].start 10239.74721875
transcript.pyannote[1594].end 10242.73409375
transcript.pyannote[1595].speaker SPEAKER_12
transcript.pyannote[1595].start 10252.18409375
transcript.pyannote[1595].end 10252.23471875
transcript.pyannote[1596].speaker SPEAKER_05
transcript.pyannote[1596].start 10252.23471875
transcript.pyannote[1596].end 10254.36096875
transcript.pyannote[1597].speaker SPEAKER_12
transcript.pyannote[1597].start 10255.20471875
transcript.pyannote[1597].end 10256.41971875
transcript.pyannote[1598].speaker SPEAKER_15
transcript.pyannote[1598].start 10265.41409375
transcript.pyannote[1598].end 10266.02159375
transcript.pyannote[1599].speaker SPEAKER_05
transcript.pyannote[1599].start 10266.02159375
transcript.pyannote[1599].end 10271.86034375
transcript.pyannote[1600].speaker SPEAKER_15
transcript.pyannote[1600].start 10271.79284375
transcript.pyannote[1600].end 10272.72096875
transcript.pyannote[1601].speaker SPEAKER_05
transcript.pyannote[1601].start 10272.51846875
transcript.pyannote[1601].end 10275.26909375
transcript.pyannote[1602].speaker SPEAKER_05
transcript.pyannote[1602].start 10275.60659375
transcript.pyannote[1602].end 10278.44159375
transcript.pyannote[1603].speaker SPEAKER_15
transcript.pyannote[1603].start 10278.10409375
transcript.pyannote[1603].end 10278.62721875
transcript.pyannote[1604].speaker SPEAKER_05
transcript.pyannote[1604].start 10278.52596875
transcript.pyannote[1604].end 10282.86284375
transcript.pyannote[1605].speaker SPEAKER_15
transcript.pyannote[1605].start 10279.35284375
transcript.pyannote[1605].end 10279.72409375
transcript.pyannote[1606].speaker SPEAKER_15
transcript.pyannote[1606].start 10284.55034375
transcript.pyannote[1606].end 10294.33784375
transcript.pyannote[1607].speaker SPEAKER_05
transcript.pyannote[1607].start 10292.97096875
transcript.pyannote[1607].end 10322.45159375
transcript.pyannote[1608].speaker SPEAKER_15
transcript.pyannote[1608].start 10294.62471875
transcript.pyannote[1608].end 10295.28284375
transcript.pyannote[1609].speaker SPEAKER_15
transcript.pyannote[1609].start 10298.10096875
transcript.pyannote[1609].end 10298.59034375
transcript.pyannote[1610].speaker SPEAKER_08
transcript.pyannote[1610].start 10305.72846875
transcript.pyannote[1610].end 10305.96471875
transcript.pyannote[1611].speaker SPEAKER_00
transcript.pyannote[1611].start 10305.96471875
transcript.pyannote[1611].end 10306.79159375
transcript.pyannote[1612].speaker SPEAKER_08
transcript.pyannote[1612].start 10314.48659375
transcript.pyannote[1612].end 10314.79034375
transcript.pyannote[1613].speaker SPEAKER_08
transcript.pyannote[1613].start 10322.65409375
transcript.pyannote[1613].end 10323.02534375
transcript.pyannote[1614].speaker SPEAKER_05
transcript.pyannote[1614].start 10322.90721875
transcript.pyannote[1614].end 10331.46284375
transcript.pyannote[1615].speaker SPEAKER_05
transcript.pyannote[1615].start 10331.78346875
transcript.pyannote[1615].end 10335.42846875
transcript.pyannote[1616].speaker SPEAKER_05
transcript.pyannote[1616].start 10335.86721875
transcript.pyannote[1616].end 10363.82909375
transcript.pyannote[1617].speaker SPEAKER_05
transcript.pyannote[1617].start 10364.21721875
transcript.pyannote[1617].end 10387.92659375
transcript.pyannote[1618].speaker SPEAKER_05
transcript.pyannote[1618].start 10388.17971875
transcript.pyannote[1618].end 10392.51659375
transcript.pyannote[1619].speaker SPEAKER_15
transcript.pyannote[1619].start 10392.58409375
transcript.pyannote[1619].end 10394.86221875
transcript.pyannote[1620].speaker SPEAKER_05
transcript.pyannote[1620].start 10394.77784375
transcript.pyannote[1620].end 10409.17221875
transcript.pyannote[1621].speaker SPEAKER_05
transcript.pyannote[1621].start 10409.23971875
transcript.pyannote[1621].end 10409.30721875
transcript.pyannote[1622].speaker SPEAKER_15
transcript.pyannote[1622].start 10409.30721875
transcript.pyannote[1622].end 10415.51721875
transcript.pyannote[1623].speaker SPEAKER_08
transcript.pyannote[1623].start 10415.51721875
transcript.pyannote[1623].end 10416.02346875
transcript.pyannote[1624].speaker SPEAKER_15
transcript.pyannote[1624].start 10415.53409375
transcript.pyannote[1624].end 10418.04846875
transcript.pyannote[1625].speaker SPEAKER_05
transcript.pyannote[1625].start 10416.02346875
transcript.pyannote[1625].end 10417.12034375
transcript.pyannote[1626].speaker SPEAKER_15
transcript.pyannote[1626].start 10418.23409375
transcript.pyannote[1626].end 10422.72284375
transcript.pyannote[1627].speaker SPEAKER_05
transcript.pyannote[1627].start 10422.33471875
transcript.pyannote[1627].end 10427.24534375
transcript.pyannote[1628].speaker SPEAKER_15
transcript.pyannote[1628].start 10424.27534375
transcript.pyannote[1628].end 10425.99659375
transcript.pyannote[1629].speaker SPEAKER_15
transcript.pyannote[1629].start 10426.87409375
transcript.pyannote[1629].end 10431.26159375
transcript.pyannote[1630].speaker SPEAKER_05
transcript.pyannote[1630].start 10431.26159375
transcript.pyannote[1630].end 10432.27409375
transcript.pyannote[1631].speaker SPEAKER_15
transcript.pyannote[1631].start 10431.59909375
transcript.pyannote[1631].end 10433.08409375
transcript.pyannote[1632].speaker SPEAKER_05
transcript.pyannote[1632].start 10433.26971875
transcript.pyannote[1632].end 10436.98221875
transcript.pyannote[1633].speaker SPEAKER_15
transcript.pyannote[1633].start 10436.83034375
transcript.pyannote[1633].end 10436.96534375
transcript.pyannote[1634].speaker SPEAKER_15
transcript.pyannote[1634].start 10436.98221875
transcript.pyannote[1634].end 10437.13409375
transcript.pyannote[1635].speaker SPEAKER_08
transcript.pyannote[1635].start 10437.13409375
transcript.pyannote[1635].end 10437.15096875
transcript.pyannote[1636].speaker SPEAKER_05
transcript.pyannote[1636].start 10437.15096875
transcript.pyannote[1636].end 10448.18721875
transcript.pyannote[1637].speaker SPEAKER_05
transcript.pyannote[1637].start 10448.32221875
transcript.pyannote[1637].end 10468.38659375
transcript.pyannote[1638].speaker SPEAKER_03
transcript.pyannote[1638].start 10464.47159375
transcript.pyannote[1638].end 10464.64034375
transcript.pyannote[1639].speaker SPEAKER_05
transcript.pyannote[1639].start 10468.84221875
transcript.pyannote[1639].end 10473.22971875
transcript.pyannote[1640].speaker SPEAKER_15
transcript.pyannote[1640].start 10468.94346875
transcript.pyannote[1640].end 10469.28096875
transcript.pyannote[1641].speaker SPEAKER_15
transcript.pyannote[1641].start 10471.93034375
transcript.pyannote[1641].end 10475.32221875
transcript.pyannote[1642].speaker SPEAKER_15
transcript.pyannote[1642].start 10475.64284375
transcript.pyannote[1642].end 10481.71784375
transcript.pyannote[1643].speaker SPEAKER_05
transcript.pyannote[1643].start 10480.24971875
transcript.pyannote[1643].end 10480.26659375
transcript.pyannote[1644].speaker SPEAKER_05
transcript.pyannote[1644].start 10481.71784375
transcript.pyannote[1644].end 10481.81909375
transcript.pyannote[1645].speaker SPEAKER_05
transcript.pyannote[1645].start 10481.92034375
transcript.pyannote[1645].end 10481.93721875
transcript.pyannote[1646].speaker SPEAKER_15
transcript.pyannote[1646].start 10481.93721875
transcript.pyannote[1646].end 10481.95409375
transcript.pyannote[1647].speaker SPEAKER_05
transcript.pyannote[1647].start 10481.95409375
transcript.pyannote[1647].end 10481.97096875
transcript.pyannote[1648].speaker SPEAKER_15
transcript.pyannote[1648].start 10481.97096875
transcript.pyannote[1648].end 10482.86534375
transcript.pyannote[1649].speaker SPEAKER_05
transcript.pyannote[1649].start 10482.86534375
transcript.pyannote[1649].end 10484.72159375
transcript.pyannote[1650].speaker SPEAKER_15
transcript.pyannote[1650].start 10483.94534375
transcript.pyannote[1650].end 10484.82284375
transcript.pyannote[1651].speaker SPEAKER_15
transcript.pyannote[1651].start 10485.21096875
transcript.pyannote[1651].end 10500.36471875
transcript.pyannote[1652].speaker SPEAKER_05
transcript.pyannote[1652].start 10485.22784375
transcript.pyannote[1652].end 10485.64971875
transcript.pyannote[1653].speaker SPEAKER_05
transcript.pyannote[1653].start 10491.60659375
transcript.pyannote[1653].end 10492.11284375
transcript.pyannote[1654].speaker SPEAKER_05
transcript.pyannote[1654].start 10495.20096875
transcript.pyannote[1654].end 10506.40596875
transcript.pyannote[1655].speaker SPEAKER_05
transcript.pyannote[1655].start 10506.64221875
transcript.pyannote[1655].end 10510.48971875
transcript.pyannote[1656].speaker SPEAKER_05
transcript.pyannote[1656].start 10511.21534375
transcript.pyannote[1656].end 10513.37534375
transcript.pyannote[1657].speaker SPEAKER_15
transcript.pyannote[1657].start 10513.35846875
transcript.pyannote[1657].end 10514.62409375
transcript.pyannote[1658].speaker SPEAKER_05
transcript.pyannote[1658].start 10514.08409375
transcript.pyannote[1658].end 10514.18534375
transcript.pyannote[1659].speaker SPEAKER_05
transcript.pyannote[1659].start 10515.18096875
transcript.pyannote[1659].end 10516.56471875
transcript.pyannote[1660].speaker SPEAKER_05
transcript.pyannote[1660].start 10517.25659375
transcript.pyannote[1660].end 10517.27346875
transcript.pyannote[1661].speaker SPEAKER_15
transcript.pyannote[1661].start 10517.27346875
transcript.pyannote[1661].end 10517.96534375
transcript.pyannote[1662].speaker SPEAKER_05
transcript.pyannote[1662].start 10517.69534375
transcript.pyannote[1662].end 10519.65284375
transcript.pyannote[1663].speaker SPEAKER_15
transcript.pyannote[1663].start 10518.53909375
transcript.pyannote[1663].end 10522.03221875
transcript.pyannote[1664].speaker SPEAKER_15
transcript.pyannote[1664].start 10522.38659375
transcript.pyannote[1664].end 10531.83659375
transcript.pyannote[1665].speaker SPEAKER_05
transcript.pyannote[1665].start 10530.01409375
transcript.pyannote[1665].end 10558.26284375
transcript.pyannote[1666].speaker SPEAKER_05
transcript.pyannote[1666].start 10558.53284375
transcript.pyannote[1666].end 10561.06409375
transcript.pyannote[1667].speaker SPEAKER_05
transcript.pyannote[1667].start 10561.19909375
transcript.pyannote[1667].end 10562.85284375
transcript.pyannote[1668].speaker SPEAKER_05
transcript.pyannote[1668].start 10563.37596875
transcript.pyannote[1668].end 10572.67409375
transcript.pyannote[1669].speaker SPEAKER_05
transcript.pyannote[1669].start 10573.01159375
transcript.pyannote[1669].end 10576.04909375
transcript.pyannote[1670].speaker SPEAKER_05
transcript.pyannote[1670].start 10576.69034375
transcript.pyannote[1670].end 10582.61346875
transcript.pyannote[1671].speaker SPEAKER_05
transcript.pyannote[1671].start 10582.91721875
transcript.pyannote[1671].end 10590.98346875
transcript.pyannote[1672].speaker SPEAKER_15
transcript.pyannote[1672].start 10590.32534375
transcript.pyannote[1672].end 10591.84409375
transcript.pyannote[1673].speaker SPEAKER_15
transcript.pyannote[1673].start 10592.09721875
transcript.pyannote[1673].end 10595.57346875
transcript.pyannote[1674].speaker SPEAKER_15
transcript.pyannote[1674].start 10595.96159375
transcript.pyannote[1674].end 10599.03284375
transcript.pyannote[1675].speaker SPEAKER_15
transcript.pyannote[1675].start 10599.65721875
transcript.pyannote[1675].end 10600.11284375
transcript.pyannote[1676].speaker SPEAKER_15
transcript.pyannote[1676].start 10600.36596875
transcript.pyannote[1676].end 10603.72409375
transcript.pyannote[1677].speaker SPEAKER_15
transcript.pyannote[1677].start 10604.01096875
transcript.pyannote[1677].end 10613.49471875
transcript.pyannote[1678].speaker SPEAKER_05
transcript.pyannote[1678].start 10612.78596875
transcript.pyannote[1678].end 10655.93534375
transcript.pyannote[1679].speaker SPEAKER_15
transcript.pyannote[1679].start 10613.74784375
transcript.pyannote[1679].end 10615.11471875
transcript.pyannote[1680].speaker SPEAKER_05
transcript.pyannote[1680].start 10656.39096875
transcript.pyannote[1680].end 10661.01471875
transcript.pyannote[1681].speaker SPEAKER_05
transcript.pyannote[1681].start 10661.06534375
transcript.pyannote[1681].end 10674.31221875
transcript.pyannote[1682].speaker SPEAKER_15
transcript.pyannote[1682].start 10674.86909375
transcript.pyannote[1682].end 10677.43409375
transcript.pyannote[1683].speaker SPEAKER_15
transcript.pyannote[1683].start 10677.90659375
transcript.pyannote[1683].end 10682.56409375
transcript.pyannote[1684].speaker SPEAKER_05
transcript.pyannote[1684].start 10682.20971875
transcript.pyannote[1684].end 10684.09971875
transcript.pyannote[1685].speaker SPEAKER_15
transcript.pyannote[1685].start 10683.23909375
transcript.pyannote[1685].end 10687.35659375
transcript.pyannote[1686].speaker SPEAKER_05
transcript.pyannote[1686].start 10687.18784375
transcript.pyannote[1686].end 10724.22846875
transcript.pyannote[1687].speaker SPEAKER_05
transcript.pyannote[1687].start 10724.86971875
transcript.pyannote[1687].end 10725.35909375
transcript.pyannote[1688].speaker SPEAKER_05
transcript.pyannote[1688].start 10726.47284375
transcript.pyannote[1688].end 10748.68034375
transcript.pyannote[1689].speaker SPEAKER_15
transcript.pyannote[1689].start 10749.10221875
transcript.pyannote[1689].end 10752.79784375
transcript.pyannote[1690].speaker SPEAKER_05
transcript.pyannote[1690].start 10749.42284375
transcript.pyannote[1690].end 10749.49034375
transcript.pyannote[1691].speaker SPEAKER_15
transcript.pyannote[1691].start 10753.27034375
transcript.pyannote[1691].end 10754.26596875
transcript.pyannote[1692].speaker SPEAKER_15
transcript.pyannote[1692].start 10754.50221875
transcript.pyannote[1692].end 10754.99159375
transcript.pyannote[1693].speaker SPEAKER_05
transcript.pyannote[1693].start 10754.51909375
transcript.pyannote[1693].end 10758.85596875
transcript.pyannote[1694].speaker SPEAKER_15
transcript.pyannote[1694].start 10755.76784375
transcript.pyannote[1694].end 10756.29096875
transcript.pyannote[1695].speaker SPEAKER_15
transcript.pyannote[1695].start 10757.70846875
transcript.pyannote[1695].end 10758.04596875
transcript.pyannote[1696].speaker SPEAKER_15
transcript.pyannote[1696].start 10759.21034375
transcript.pyannote[1696].end 10761.25221875
transcript.pyannote[1697].speaker SPEAKER_05
transcript.pyannote[1697].start 10761.21846875
transcript.pyannote[1697].end 10761.85971875
transcript.pyannote[1698].speaker SPEAKER_15
transcript.pyannote[1698].start 10761.28596875
transcript.pyannote[1698].end 10761.30284375
transcript.pyannote[1699].speaker SPEAKER_15
transcript.pyannote[1699].start 10761.31971875
transcript.pyannote[1699].end 10765.77471875
transcript.pyannote[1700].speaker SPEAKER_05
transcript.pyannote[1700].start 10765.77471875
transcript.pyannote[1700].end 10766.33159375
transcript.pyannote[1701].speaker SPEAKER_15
transcript.pyannote[1701].start 10766.33159375
transcript.pyannote[1701].end 10771.46159375
transcript.pyannote[1702].speaker SPEAKER_05
transcript.pyannote[1702].start 10768.44096875
transcript.pyannote[1702].end 10769.25096875
transcript.pyannote[1703].speaker SPEAKER_05
transcript.pyannote[1703].start 10769.38596875
transcript.pyannote[1703].end 10778.46471875
transcript.pyannote[1704].speaker SPEAKER_05
transcript.pyannote[1704].start 10778.80221875
transcript.pyannote[1704].end 10800.84096875
transcript.pyannote[1705].speaker SPEAKER_05
transcript.pyannote[1705].start 10800.90846875
transcript.pyannote[1705].end 10814.12159375
transcript.pyannote[1706].speaker SPEAKER_05
transcript.pyannote[1706].start 10814.86409375
transcript.pyannote[1706].end 10821.74909375
transcript.pyannote[1707].speaker SPEAKER_05
transcript.pyannote[1707].start 10821.86721875
transcript.pyannote[1707].end 10823.89221875
transcript.pyannote[1708].speaker SPEAKER_15
transcript.pyannote[1708].start 10822.47471875
transcript.pyannote[1708].end 10832.24534375
transcript.pyannote[1709].speaker SPEAKER_15
transcript.pyannote[1709].start 10832.48159375
transcript.pyannote[1709].end 10834.57409375
transcript.pyannote[1710].speaker SPEAKER_05
transcript.pyannote[1710].start 10834.27034375
transcript.pyannote[1710].end 10869.31971875
transcript.pyannote[1711].speaker SPEAKER_08
transcript.pyannote[1711].start 10846.26846875
transcript.pyannote[1711].end 10846.28534375
transcript.pyannote[1712].speaker SPEAKER_08
transcript.pyannote[1712].start 10846.48784375
transcript.pyannote[1712].end 10846.77471875
transcript.pyannote[1713].speaker SPEAKER_05
transcript.pyannote[1713].start 10869.64034375
transcript.pyannote[1713].end 10884.20346875
transcript.pyannote[1714].speaker SPEAKER_05
transcript.pyannote[1714].start 10884.33846875
transcript.pyannote[1714].end 10893.45096875
transcript.pyannote[1715].speaker SPEAKER_05
transcript.pyannote[1715].start 10894.00784375
transcript.pyannote[1715].end 10908.82409375
transcript.pyannote[1716].speaker SPEAKER_05
transcript.pyannote[1716].start 10909.31346875
transcript.pyannote[1716].end 10918.37534375
transcript.pyannote[1717].speaker SPEAKER_05
transcript.pyannote[1717].start 10918.72971875
transcript.pyannote[1717].end 10925.49659375
transcript.pyannote[1718].speaker SPEAKER_05
transcript.pyannote[1718].start 10925.96909375
transcript.pyannote[1718].end 10934.27159375
transcript.pyannote[1719].speaker SPEAKER_05
transcript.pyannote[1719].start 10934.71034375
transcript.pyannote[1719].end 10941.56159375
transcript.pyannote[1720].speaker SPEAKER_05
transcript.pyannote[1720].start 10941.91596875
transcript.pyannote[1720].end 10944.53159375
transcript.pyannote[1721].speaker SPEAKER_15
transcript.pyannote[1721].start 10944.02534375
transcript.pyannote[1721].end 10944.97034375
transcript.pyannote[1722].speaker SPEAKER_05
transcript.pyannote[1722].start 10945.52721875
transcript.pyannote[1722].end 10948.61534375
transcript.pyannote[1723].speaker SPEAKER_05
transcript.pyannote[1723].start 10949.05409375
transcript.pyannote[1723].end 10954.40346875
transcript.pyannote[1724].speaker SPEAKER_05
transcript.pyannote[1724].start 10955.29784375
transcript.pyannote[1724].end 10956.83346875
transcript.pyannote[1725].speaker SPEAKER_05
transcript.pyannote[1725].start 10957.42409375
transcript.pyannote[1725].end 10958.11596875
transcript.pyannote[1726].speaker SPEAKER_05
transcript.pyannote[1726].start 10958.53784375
transcript.pyannote[1726].end 10961.69346875
transcript.pyannote[1727].speaker SPEAKER_05
transcript.pyannote[1727].start 10962.23346875
transcript.pyannote[1727].end 10963.76909375
transcript.pyannote[1728].speaker SPEAKER_15
transcript.pyannote[1728].start 10963.09409375
transcript.pyannote[1728].end 10964.69721875
transcript.pyannote[1729].speaker SPEAKER_05
transcript.pyannote[1729].start 10964.69721875
transcript.pyannote[1729].end 10967.70096875
transcript.pyannote[1730].speaker SPEAKER_05
transcript.pyannote[1730].start 10967.71784375
transcript.pyannote[1730].end 10967.73471875
transcript.pyannote[1731].speaker SPEAKER_15
transcript.pyannote[1731].start 10967.73471875
transcript.pyannote[1731].end 10973.08409375
transcript.pyannote[1732].speaker SPEAKER_05
transcript.pyannote[1732].start 10969.84409375
transcript.pyannote[1732].end 10970.13096875
transcript.pyannote[1733].speaker SPEAKER_05
transcript.pyannote[1733].start 10972.76346875
transcript.pyannote[1733].end 10976.34096875
transcript.pyannote[1734].speaker SPEAKER_15
transcript.pyannote[1734].start 10973.16846875
transcript.pyannote[1734].end 10974.58596875
transcript.pyannote[1735].speaker SPEAKER_15
transcript.pyannote[1735].start 10975.17659375
transcript.pyannote[1735].end 10979.73284375
transcript.pyannote[1736].speaker SPEAKER_05
transcript.pyannote[1736].start 10978.88909375
transcript.pyannote[1736].end 10984.05284375
transcript.pyannote[1737].speaker SPEAKER_15
transcript.pyannote[1737].start 10984.00221875
transcript.pyannote[1737].end 10992.72659375
transcript.pyannote[1738].speaker SPEAKER_05
transcript.pyannote[1738].start 10984.54221875
transcript.pyannote[1738].end 10984.99784375
transcript.pyannote[1739].speaker SPEAKER_05
transcript.pyannote[1739].start 10991.05596875
transcript.pyannote[1739].end 10991.17409375
transcript.pyannote[1740].speaker SPEAKER_08
transcript.pyannote[1740].start 10991.17409375
transcript.pyannote[1740].end 10991.51159375
transcript.pyannote[1741].speaker SPEAKER_05
transcript.pyannote[1741].start 10991.93346875
transcript.pyannote[1741].end 10992.00096875
transcript.pyannote[1742].speaker SPEAKER_15
transcript.pyannote[1742].start 10992.89534375
transcript.pyannote[1742].end 11001.07971875
transcript.pyannote[1743].speaker SPEAKER_08
transcript.pyannote[1743].start 10992.92909375
transcript.pyannote[1743].end 10993.97534375
transcript.pyannote[1744].speaker SPEAKER_05
transcript.pyannote[1744].start 10993.97534375
transcript.pyannote[1744].end 10994.63346875
transcript.pyannote[1745].speaker SPEAKER_05
transcript.pyannote[1745].start 10996.18596875
transcript.pyannote[1745].end 10996.52346875
transcript.pyannote[1746].speaker SPEAKER_05
transcript.pyannote[1746].start 10999.35846875
transcript.pyannote[1746].end 11017.76909375
transcript.pyannote[1747].speaker SPEAKER_05
transcript.pyannote[1747].start 11017.88721875
transcript.pyannote[1747].end 11021.34659375
transcript.pyannote[1748].speaker SPEAKER_05
transcript.pyannote[1748].start 11021.80221875
transcript.pyannote[1748].end 11027.79284375
transcript.pyannote[1749].speaker SPEAKER_05
transcript.pyannote[1749].start 11028.48471875
transcript.pyannote[1749].end 11034.17159375
transcript.pyannote[1750].speaker SPEAKER_05
transcript.pyannote[1750].start 11034.66096875
transcript.pyannote[1750].end 11037.00659375
transcript.pyannote[1751].speaker SPEAKER_05
transcript.pyannote[1751].start 11037.56346875
transcript.pyannote[1751].end 11040.02721875
transcript.pyannote[1752].speaker SPEAKER_05
transcript.pyannote[1752].start 11040.34784375
transcript.pyannote[1752].end 11043.62159375
transcript.pyannote[1753].speaker SPEAKER_05
transcript.pyannote[1753].start 11043.90846875
transcript.pyannote[1753].end 11055.60284375
transcript.pyannote[1754].speaker SPEAKER_15
transcript.pyannote[1754].start 11055.58596875
transcript.pyannote[1754].end 11062.69034375
transcript.pyannote[1755].speaker SPEAKER_15
transcript.pyannote[1755].start 11063.01096875
transcript.pyannote[1755].end 11070.84096875
transcript.pyannote[1756].speaker SPEAKER_05
transcript.pyannote[1756].start 11066.26784375
transcript.pyannote[1756].end 11067.26346875
transcript.pyannote[1757].speaker SPEAKER_05
transcript.pyannote[1757].start 11068.41096875
transcript.pyannote[1757].end 11069.42346875
transcript.pyannote[1758].speaker SPEAKER_05
transcript.pyannote[1758].start 11070.84096875
transcript.pyannote[1758].end 11080.29096875
transcript.pyannote[1759].speaker SPEAKER_05
transcript.pyannote[1759].start 11080.83096875
transcript.pyannote[1759].end 11087.69909375
transcript.pyannote[1760].speaker SPEAKER_05
transcript.pyannote[1760].start 11088.05346875
transcript.pyannote[1760].end 11091.86721875
transcript.pyannote[1761].speaker SPEAKER_05
transcript.pyannote[1761].start 11092.50846875
transcript.pyannote[1761].end 11113.46721875
transcript.pyannote[1762].speaker SPEAKER_00
transcript.pyannote[1762].start 11092.66034375
transcript.pyannote[1762].end 11092.81221875
transcript.pyannote[1763].speaker SPEAKER_08
transcript.pyannote[1763].start 11092.81221875
transcript.pyannote[1763].end 11092.96409375
transcript.pyannote[1764].speaker SPEAKER_00
transcript.pyannote[1764].start 11092.96409375
transcript.pyannote[1764].end 11093.25096875
transcript.pyannote[1765].speaker SPEAKER_15
transcript.pyannote[1765].start 11114.04096875
transcript.pyannote[1765].end 11115.22221875
transcript.pyannote[1766].speaker SPEAKER_05
transcript.pyannote[1766].start 11114.12534375
transcript.pyannote[1766].end 11117.24721875
transcript.pyannote[1767].speaker SPEAKER_15
transcript.pyannote[1767].start 11116.55534375
transcript.pyannote[1767].end 11127.49034375
transcript.pyannote[1768].speaker SPEAKER_05
transcript.pyannote[1768].start 11126.24159375
transcript.pyannote[1768].end 11141.73284375
transcript.pyannote[1769].speaker SPEAKER_15
transcript.pyannote[1769].start 11129.53221875
transcript.pyannote[1769].end 11132.35034375
transcript.pyannote[1770].speaker SPEAKER_05
transcript.pyannote[1770].start 11141.91846875
transcript.pyannote[1770].end 11147.74034375
transcript.pyannote[1771].speaker SPEAKER_05
transcript.pyannote[1771].start 11148.26346875
transcript.pyannote[1771].end 11154.03471875
transcript.pyannote[1772].speaker SPEAKER_05
transcript.pyannote[1772].start 11154.28784375
transcript.pyannote[1772].end 11157.00471875
transcript.pyannote[1773].speaker SPEAKER_05
transcript.pyannote[1773].start 11157.24096875
transcript.pyannote[1773].end 11161.10534375
transcript.pyannote[1774].speaker SPEAKER_15
transcript.pyannote[1774].start 11158.91159375
transcript.pyannote[1774].end 11162.69159375
transcript.pyannote[1775].speaker SPEAKER_15
transcript.pyannote[1775].start 11162.72534375
transcript.pyannote[1775].end 11165.96534375
transcript.pyannote[1776].speaker SPEAKER_05
transcript.pyannote[1776].start 11162.84346875
transcript.pyannote[1776].end 11163.53534375
transcript.pyannote[1777].speaker SPEAKER_05
transcript.pyannote[1777].start 11165.96534375
transcript.pyannote[1777].end 11166.13409375
transcript.pyannote[1778].speaker SPEAKER_15
transcript.pyannote[1778].start 11166.13409375
transcript.pyannote[1778].end 11167.07909375
transcript.pyannote[1779].speaker SPEAKER_05
transcript.pyannote[1779].start 11167.11284375
transcript.pyannote[1779].end 11172.83346875
transcript.pyannote[1780].speaker SPEAKER_15
transcript.pyannote[1780].start 11169.72846875
transcript.pyannote[1780].end 11175.09471875
transcript.pyannote[1781].speaker SPEAKER_05
transcript.pyannote[1781].start 11173.99784375
transcript.pyannote[1781].end 11175.93846875
transcript.pyannote[1782].speaker SPEAKER_05
transcript.pyannote[1782].start 11176.03971875
transcript.pyannote[1782].end 11178.79034375
transcript.pyannote[1783].speaker SPEAKER_05
transcript.pyannote[1783].start 11178.95909375
transcript.pyannote[1783].end 11197.45409375
transcript.pyannote[1784].speaker SPEAKER_05
transcript.pyannote[1784].start 11197.85909375
transcript.pyannote[1784].end 11198.65221875
transcript.pyannote[1785].speaker SPEAKER_05
transcript.pyannote[1785].start 11199.00659375
transcript.pyannote[1785].end 11202.36471875
transcript.pyannote[1786].speaker SPEAKER_05
transcript.pyannote[1786].start 11202.75284375
transcript.pyannote[1786].end 11214.12659375
transcript.pyannote[1787].speaker SPEAKER_05
transcript.pyannote[1787].start 11214.22784375
transcript.pyannote[1787].end 11216.92784375
transcript.pyannote[1788].speaker SPEAKER_05
transcript.pyannote[1788].start 11217.26534375
transcript.pyannote[1788].end 11220.26909375
transcript.pyannote[1789].speaker SPEAKER_05
transcript.pyannote[1789].start 11220.40409375
transcript.pyannote[1789].end 11225.48346875
transcript.pyannote[1790].speaker SPEAKER_05
transcript.pyannote[1790].start 11226.34409375
transcript.pyannote[1790].end 11231.42346875
transcript.pyannote[1791].speaker SPEAKER_05
transcript.pyannote[1791].start 11231.67659375
transcript.pyannote[1791].end 11236.21596875
transcript.pyannote[1792].speaker SPEAKER_05
transcript.pyannote[1792].start 11236.50284375
transcript.pyannote[1792].end 11241.63284375
transcript.pyannote[1793].speaker SPEAKER_05
transcript.pyannote[1793].start 11241.81846875
transcript.pyannote[1793].end 11244.80534375
transcript.pyannote[1794].speaker SPEAKER_05
transcript.pyannote[1794].start 11245.29471875
transcript.pyannote[1794].end 11251.31909375
transcript.pyannote[1795].speaker SPEAKER_05
transcript.pyannote[1795].start 11251.58909375
transcript.pyannote[1795].end 11259.03096875
transcript.pyannote[1796].speaker SPEAKER_05
transcript.pyannote[1796].start 11259.25034375
transcript.pyannote[1796].end 11259.38534375
transcript.pyannote[1797].speaker SPEAKER_05
transcript.pyannote[1797].start 11259.40221875
transcript.pyannote[1797].end 11264.51534375
transcript.pyannote[1798].speaker SPEAKER_05
transcript.pyannote[1798].start 11264.76846875
transcript.pyannote[1798].end 11266.21971875
transcript.pyannote[1799].speaker SPEAKER_05
transcript.pyannote[1799].start 11266.45596875
transcript.pyannote[1799].end 11268.97034375
transcript.pyannote[1800].speaker SPEAKER_05
transcript.pyannote[1800].start 11269.52721875
transcript.pyannote[1800].end 11283.21284375
transcript.pyannote[1801].speaker SPEAKER_05
transcript.pyannote[1801].start 11283.98909375
transcript.pyannote[1801].end 11289.32159375
transcript.pyannote[1802].speaker SPEAKER_05
transcript.pyannote[1802].start 11289.81096875
transcript.pyannote[1802].end 11292.73034375
transcript.pyannote[1803].speaker SPEAKER_05
transcript.pyannote[1803].start 11292.79784375
transcript.pyannote[1803].end 11332.65659375
transcript.pyannote[1804].speaker SPEAKER_00
transcript.pyannote[1804].start 11301.87659375
transcript.pyannote[1804].end 11302.60221875
transcript.pyannote[1805].speaker SPEAKER_08
transcript.pyannote[1805].start 11311.29284375
transcript.pyannote[1805].end 11313.09846875
transcript.pyannote[1806].speaker SPEAKER_05
transcript.pyannote[1806].start 11333.28096875
transcript.pyannote[1806].end 11334.66471875
transcript.pyannote[1807].speaker SPEAKER_05
transcript.pyannote[1807].start 11335.39034375
transcript.pyannote[1807].end 11339.28846875
transcript.pyannote[1808].speaker SPEAKER_05
transcript.pyannote[1808].start 11339.47409375
transcript.pyannote[1808].end 11343.92909375
transcript.pyannote[1809].speaker SPEAKER_05
transcript.pyannote[1809].start 11344.28346875
transcript.pyannote[1809].end 11360.98971875
transcript.pyannote[1810].speaker SPEAKER_05
transcript.pyannote[1810].start 11361.69846875
transcript.pyannote[1810].end 11379.73784375
transcript.pyannote[1811].speaker SPEAKER_05
transcript.pyannote[1811].start 11379.94034375
transcript.pyannote[1811].end 11387.28096875
transcript.pyannote[1812].speaker SPEAKER_05
transcript.pyannote[1812].start 11387.48346875
transcript.pyannote[1812].end 11396.34284375
transcript.pyannote[1813].speaker SPEAKER_05
transcript.pyannote[1813].start 11396.74784375
transcript.pyannote[1813].end 11405.21909375
transcript.pyannote[1814].speaker SPEAKER_05
transcript.pyannote[1814].start 11405.30346875
transcript.pyannote[1814].end 11417.16659375
transcript.pyannote[1815].speaker SPEAKER_05
transcript.pyannote[1815].start 11417.82471875
transcript.pyannote[1815].end 11418.11159375
transcript.pyannote[1816].speaker SPEAKER_05
transcript.pyannote[1816].start 11418.36471875
transcript.pyannote[1816].end 11439.28971875
transcript.pyannote[1817].speaker SPEAKER_05
transcript.pyannote[1817].start 11439.59346875
transcript.pyannote[1817].end 11441.39909375
transcript.pyannote[1818].speaker SPEAKER_05
transcript.pyannote[1818].start 11441.87159375
transcript.pyannote[1818].end 11444.04846875
transcript.pyannote[1819].speaker SPEAKER_05
transcript.pyannote[1819].start 11444.38596875
transcript.pyannote[1819].end 11445.36471875
transcript.pyannote[1820].speaker SPEAKER_05
transcript.pyannote[1820].start 11445.49971875
transcript.pyannote[1820].end 11449.81971875
transcript.pyannote[1821].speaker SPEAKER_15
transcript.pyannote[1821].start 11450.03909375
transcript.pyannote[1821].end 11473.07346875
transcript.pyannote[1822].speaker SPEAKER_05
transcript.pyannote[1822].start 11457.14346875
transcript.pyannote[1822].end 11457.53159375
transcript.pyannote[1823].speaker SPEAKER_00
transcript.pyannote[1823].start 11457.53159375
transcript.pyannote[1823].end 11457.59909375
transcript.pyannote[1824].speaker SPEAKER_00
transcript.pyannote[1824].start 11459.42159375
transcript.pyannote[1824].end 11460.43409375
transcript.pyannote[1825].speaker SPEAKER_05
transcript.pyannote[1825].start 11470.52534375
transcript.pyannote[1825].end 11480.21159375
transcript.pyannote[1826].speaker SPEAKER_05
transcript.pyannote[1826].start 11480.53221875
transcript.pyannote[1826].end 11485.81409375
transcript.pyannote[1827].speaker SPEAKER_05
transcript.pyannote[1827].start 11486.48909375
transcript.pyannote[1827].end 11488.27784375
transcript.pyannote[1828].speaker SPEAKER_15
transcript.pyannote[1828].start 11488.27784375
transcript.pyannote[1828].end 11501.25471875
transcript.pyannote[1829].speaker SPEAKER_05
transcript.pyannote[1829].start 11488.29471875
transcript.pyannote[1829].end 11488.88534375
transcript.pyannote[1830].speaker SPEAKER_05
transcript.pyannote[1830].start 11498.47034375
transcript.pyannote[1830].end 11500.19159375
transcript.pyannote[1831].speaker SPEAKER_05
transcript.pyannote[1831].start 11500.66409375
transcript.pyannote[1831].end 11505.72659375
transcript.pyannote[1832].speaker SPEAKER_15
transcript.pyannote[1832].start 11503.66784375
transcript.pyannote[1832].end 11505.25409375
transcript.pyannote[1833].speaker SPEAKER_05
transcript.pyannote[1833].start 11506.06409375
transcript.pyannote[1833].end 11522.95596875
transcript.pyannote[1834].speaker SPEAKER_15
transcript.pyannote[1834].start 11522.06159375
transcript.pyannote[1834].end 11526.09471875
transcript.pyannote[1835].speaker SPEAKER_05
transcript.pyannote[1835].start 11525.45346875
transcript.pyannote[1835].end 11530.87034375
transcript.pyannote[1836].speaker SPEAKER_05
transcript.pyannote[1836].start 11531.02221875
transcript.pyannote[1836].end 11537.29971875
transcript.pyannote[1837].speaker SPEAKER_16
transcript.pyannote[1837].start 11536.50659375
transcript.pyannote[1837].end 11537.11409375
transcript.pyannote[1838].speaker SPEAKER_05
transcript.pyannote[1838].start 11537.62034375
transcript.pyannote[1838].end 11563.00034375
transcript.pyannote[1839].speaker SPEAKER_08
transcript.pyannote[1839].start 11545.77096875
transcript.pyannote[1839].end 11546.32784375
transcript.pyannote[1840].speaker SPEAKER_08
transcript.pyannote[1840].start 11551.17096875
transcript.pyannote[1840].end 11551.33971875
transcript.pyannote[1841].speaker SPEAKER_05
transcript.pyannote[1841].start 11563.35471875
transcript.pyannote[1841].end 11570.94846875
transcript.pyannote[1842].speaker SPEAKER_05
transcript.pyannote[1842].start 11571.53909375
transcript.pyannote[1842].end 11572.19721875
transcript.pyannote[1843].speaker SPEAKER_05
transcript.pyannote[1843].start 11572.63596875
transcript.pyannote[1843].end 11573.59784375
transcript.pyannote[1844].speaker SPEAKER_05
transcript.pyannote[1844].start 11574.50909375
transcript.pyannote[1844].end 11575.92659375
transcript.pyannote[1845].speaker SPEAKER_05
transcript.pyannote[1845].start 11576.19659375
transcript.pyannote[1845].end 11577.20909375
transcript.pyannote[1846].speaker SPEAKER_15
transcript.pyannote[1846].start 11576.29784375
transcript.pyannote[1846].end 11582.03534375
transcript.pyannote[1847].speaker SPEAKER_15
transcript.pyannote[1847].start 11582.33909375
transcript.pyannote[1847].end 11595.34971875
transcript.pyannote[1848].speaker SPEAKER_03
transcript.pyannote[1848].start 11587.87409375
transcript.pyannote[1848].end 11587.89096875
transcript.pyannote[1849].speaker SPEAKER_08
transcript.pyannote[1849].start 11587.89096875
transcript.pyannote[1849].end 11588.02596875
transcript.pyannote[1850].speaker SPEAKER_03
transcript.pyannote[1850].start 11588.02596875
transcript.pyannote[1850].end 11588.04284375
transcript.pyannote[1851].speaker SPEAKER_05
transcript.pyannote[1851].start 11588.80221875
transcript.pyannote[1851].end 11589.51096875
transcript.pyannote[1852].speaker SPEAKER_05
transcript.pyannote[1852].start 11593.96596875
transcript.pyannote[1852].end 11621.23596875
transcript.pyannote[1853].speaker SPEAKER_05
transcript.pyannote[1853].start 11621.64096875
transcript.pyannote[1853].end 11623.88534375
transcript.pyannote[1854].speaker SPEAKER_05
transcript.pyannote[1854].start 11624.15534375
transcript.pyannote[1854].end 11628.76221875
transcript.pyannote[1855].speaker SPEAKER_15
transcript.pyannote[1855].start 11626.68659375
transcript.pyannote[1855].end 11627.32784375
transcript.pyannote[1856].speaker SPEAKER_15
transcript.pyannote[1856].start 11627.41221875
transcript.pyannote[1856].end 11638.02659375
transcript.pyannote[1857].speaker SPEAKER_05
transcript.pyannote[1857].start 11638.02659375
transcript.pyannote[1857].end 11638.12784375
transcript.pyannote[1858].speaker SPEAKER_15
transcript.pyannote[1858].start 11638.12784375
transcript.pyannote[1858].end 11640.32159375
transcript.pyannote[1859].speaker SPEAKER_05
transcript.pyannote[1859].start 11639.37659375
transcript.pyannote[1859].end 11644.62471875
transcript.pyannote[1860].speaker SPEAKER_15
transcript.pyannote[1860].start 11642.70096875
transcript.pyannote[1860].end 11645.36721875
transcript.pyannote[1861].speaker SPEAKER_05
transcript.pyannote[1861].start 11645.26596875
transcript.pyannote[1861].end 11657.14596875
transcript.pyannote[1862].speaker SPEAKER_07
transcript.pyannote[1862].start 11662.09034375
transcript.pyannote[1862].end 11665.93784375
transcript.pyannote[1863].speaker SPEAKER_16
transcript.pyannote[1863].start 11665.46534375
transcript.pyannote[1863].end 11665.56659375
transcript.pyannote[1864].speaker SPEAKER_05
transcript.pyannote[1864].start 11665.56659375
transcript.pyannote[1864].end 11665.63409375
transcript.pyannote[1865].speaker SPEAKER_16
transcript.pyannote[1865].start 11665.66784375
transcript.pyannote[1865].end 11665.71846875
transcript.pyannote[1866].speaker SPEAKER_16
transcript.pyannote[1866].start 11665.92096875
transcript.pyannote[1866].end 11666.02221875
transcript.pyannote[1867].speaker SPEAKER_05
transcript.pyannote[1867].start 11666.02221875
transcript.pyannote[1867].end 11668.16534375
transcript.pyannote[1868].speaker SPEAKER_05
transcript.pyannote[1868].start 11669.22846875
transcript.pyannote[1868].end 11672.87346875
transcript.pyannote[1869].speaker SPEAKER_05
transcript.pyannote[1869].start 11672.99159375
transcript.pyannote[1869].end 11681.07471875
transcript.pyannote[1870].speaker SPEAKER_05
transcript.pyannote[1870].start 11681.29409375
transcript.pyannote[1870].end 11685.98534375
transcript.pyannote[1871].speaker SPEAKER_05
transcript.pyannote[1871].start 11686.17096875
transcript.pyannote[1871].end 11703.43409375
transcript.pyannote[1872].speaker SPEAKER_05
transcript.pyannote[1872].start 11703.51846875
transcript.pyannote[1872].end 11708.36159375
transcript.pyannote[1873].speaker SPEAKER_05
transcript.pyannote[1873].start 11709.10409375
transcript.pyannote[1873].end 11711.21346875
transcript.pyannote[1874].speaker SPEAKER_05
transcript.pyannote[1874].start 11711.66909375
transcript.pyannote[1874].end 11713.06971875
transcript.pyannote[1875].speaker SPEAKER_05
transcript.pyannote[1875].start 11713.32284375
transcript.pyannote[1875].end 11714.11596875
transcript.pyannote[1876].speaker SPEAKER_05
transcript.pyannote[1876].start 11714.47034375
transcript.pyannote[1876].end 11715.90471875
transcript.pyannote[1877].speaker SPEAKER_05
transcript.pyannote[1877].start 11716.44471875
transcript.pyannote[1877].end 11720.08971875
transcript.pyannote[1878].speaker SPEAKER_05
transcript.pyannote[1878].start 11720.81534375
transcript.pyannote[1878].end 11730.51846875
transcript.pyannote[1879].speaker SPEAKER_15
transcript.pyannote[1879].start 11729.13471875
transcript.pyannote[1879].end 11735.63159375
transcript.pyannote[1880].speaker SPEAKER_05
transcript.pyannote[1880].start 11734.19721875
transcript.pyannote[1880].end 11735.02409375
transcript.pyannote[1881].speaker SPEAKER_08
transcript.pyannote[1881].start 11735.02409375
transcript.pyannote[1881].end 11735.85096875
transcript.pyannote[1882].speaker SPEAKER_05
transcript.pyannote[1882].start 11735.85096875
transcript.pyannote[1882].end 11735.88471875
transcript.pyannote[1883].speaker SPEAKER_15
transcript.pyannote[1883].start 11735.88471875
transcript.pyannote[1883].end 11736.23909375
transcript.pyannote[1884].speaker SPEAKER_08
transcript.pyannote[1884].start 11735.91846875
transcript.pyannote[1884].end 11736.71159375
transcript.pyannote[1885].speaker SPEAKER_07
transcript.pyannote[1885].start 11736.71159375
transcript.pyannote[1885].end 11749.65471875
transcript.pyannote[1886].speaker SPEAKER_15
transcript.pyannote[1886].start 11737.82534375
transcript.pyannote[1886].end 11738.24721875
transcript.pyannote[1887].speaker SPEAKER_08
transcript.pyannote[1887].start 11738.24721875
transcript.pyannote[1887].end 11738.56784375
transcript.pyannote[1888].speaker SPEAKER_15
transcript.pyannote[1888].start 11738.56784375
transcript.pyannote[1888].end 11738.61846875
transcript.pyannote[1889].speaker SPEAKER_05
transcript.pyannote[1889].start 11748.45659375
transcript.pyannote[1889].end 11751.66284375
transcript.pyannote[1890].speaker SPEAKER_05
transcript.pyannote[1890].start 11752.28721875
transcript.pyannote[1890].end 11757.13034375
transcript.pyannote[1891].speaker SPEAKER_05
transcript.pyannote[1891].start 11757.23159375
transcript.pyannote[1891].end 11766.12471875
transcript.pyannote[1892].speaker SPEAKER_05
transcript.pyannote[1892].start 11766.44534375
transcript.pyannote[1892].end 11769.02721875
transcript.pyannote[1893].speaker SPEAKER_07
transcript.pyannote[1893].start 11766.78284375
transcript.pyannote[1893].end 11767.30596875
transcript.pyannote[1894].speaker SPEAKER_07
transcript.pyannote[1894].start 11767.42409375
transcript.pyannote[1894].end 11771.35596875
transcript.pyannote[1895].speaker SPEAKER_05
transcript.pyannote[1895].start 11770.34346875
transcript.pyannote[1895].end 11774.30909375
transcript.pyannote[1896].speaker SPEAKER_05
transcript.pyannote[1896].start 11774.68034375
transcript.pyannote[1896].end 11778.98346875
transcript.pyannote[1897].speaker SPEAKER_15
transcript.pyannote[1897].start 11778.98346875
transcript.pyannote[1897].end 11781.29534375
transcript.pyannote[1898].speaker SPEAKER_05
transcript.pyannote[1898].start 11781.17721875
transcript.pyannote[1898].end 11781.24471875
transcript.pyannote[1899].speaker SPEAKER_05
transcript.pyannote[1899].start 11781.29534375
transcript.pyannote[1899].end 11783.21909375
transcript.pyannote[1900].speaker SPEAKER_15
transcript.pyannote[1900].start 11781.68346875
transcript.pyannote[1900].end 11787.03284375
transcript.pyannote[1901].speaker SPEAKER_15
transcript.pyannote[1901].start 11787.40409375
transcript.pyannote[1901].end 11789.69909375
transcript.pyannote[1902].speaker SPEAKER_05
transcript.pyannote[1902].start 11789.02409375
transcript.pyannote[1902].end 11795.47034375
transcript.pyannote[1903].speaker SPEAKER_15
transcript.pyannote[1903].start 11793.12471875
transcript.pyannote[1903].end 11801.02221875
transcript.pyannote[1904].speaker SPEAKER_05
transcript.pyannote[1904].start 11799.03096875
transcript.pyannote[1904].end 11807.23221875
transcript.pyannote[1905].speaker SPEAKER_05
transcript.pyannote[1905].start 11807.97471875
transcript.pyannote[1905].end 11828.59596875
transcript.pyannote[1906].speaker SPEAKER_08
transcript.pyannote[1906].start 11812.09221875
transcript.pyannote[1906].end 11812.83471875
transcript.pyannote[1907].speaker SPEAKER_05
transcript.pyannote[1907].start 11828.79846875
transcript.pyannote[1907].end 11836.47659375
transcript.pyannote[1908].speaker SPEAKER_13
transcript.pyannote[1908].start 11836.69596875
transcript.pyannote[1908].end 11836.83096875
transcript.pyannote[1909].speaker SPEAKER_13
transcript.pyannote[1909].start 11837.89409375
transcript.pyannote[1909].end 11846.12909375
transcript.pyannote[1910].speaker SPEAKER_05
transcript.pyannote[1910].start 11846.46659375
transcript.pyannote[1910].end 11851.14096875
transcript.pyannote[1911].speaker SPEAKER_05
transcript.pyannote[1911].start 11851.63034375
transcript.pyannote[1911].end 11867.69534375
transcript.pyannote[1912].speaker SPEAKER_05
transcript.pyannote[1912].start 11867.77971875
transcript.pyannote[1912].end 11873.88846875
transcript.pyannote[1913].speaker SPEAKER_15
transcript.pyannote[1913].start 11874.71534375
transcript.pyannote[1913].end 11885.11034375
transcript.pyannote[1914].speaker SPEAKER_05
transcript.pyannote[1914].start 11884.18221875
transcript.pyannote[1914].end 11890.62846875
transcript.pyannote[1915].speaker SPEAKER_15
transcript.pyannote[1915].start 11887.33784375
transcript.pyannote[1915].end 11887.57409375
transcript.pyannote[1916].speaker SPEAKER_05
transcript.pyannote[1916].start 11890.96596875
transcript.pyannote[1916].end 11906.55846875
transcript.pyannote[1917].speaker SPEAKER_05
transcript.pyannote[1917].start 11906.77784375
transcript.pyannote[1917].end 11907.23346875
transcript.pyannote[1918].speaker SPEAKER_05
transcript.pyannote[1918].start 11908.33034375
transcript.pyannote[1918].end 11910.97971875
transcript.pyannote[1919].speaker SPEAKER_15
transcript.pyannote[1919].start 11908.38096875
transcript.pyannote[1919].end 11909.27534375
transcript.pyannote[1920].speaker SPEAKER_15
transcript.pyannote[1920].start 11910.77721875
transcript.pyannote[1920].end 11913.52784375
transcript.pyannote[1921].speaker SPEAKER_05
transcript.pyannote[1921].start 11912.66721875
transcript.pyannote[1921].end 11917.25721875
transcript.pyannote[1922].speaker SPEAKER_15
transcript.pyannote[1922].start 11913.73034375
transcript.pyannote[1922].end 11923.63596875
transcript.pyannote[1923].speaker SPEAKER_05
transcript.pyannote[1923].start 11918.26971875
transcript.pyannote[1923].end 11919.40034375
transcript.pyannote[1924].speaker SPEAKER_05
transcript.pyannote[1924].start 11920.85159375
transcript.pyannote[1924].end 11925.18846875
transcript.pyannote[1925].speaker SPEAKER_15
transcript.pyannote[1925].start 11924.32784375
transcript.pyannote[1925].end 11928.93471875
transcript.pyannote[1926].speaker SPEAKER_05
transcript.pyannote[1926].start 11928.88409375
transcript.pyannote[1926].end 11941.92846875
transcript.pyannote[1927].speaker SPEAKER_05
transcript.pyannote[1927].start 11942.33346875
transcript.pyannote[1927].end 11945.55659375
transcript.pyannote[1928].speaker SPEAKER_05
transcript.pyannote[1928].start 11945.75909375
transcript.pyannote[1928].end 11949.97784375
transcript.pyannote[1929].speaker SPEAKER_05
transcript.pyannote[1929].start 11951.05784375
transcript.pyannote[1929].end 11958.66846875
transcript.pyannote[1930].speaker SPEAKER_15
transcript.pyannote[1930].start 11956.76159375
transcript.pyannote[1930].end 11959.34346875
transcript.pyannote[1931].speaker SPEAKER_15
transcript.pyannote[1931].start 11959.71471875
transcript.pyannote[1931].end 11967.98346875
transcript.pyannote[1932].speaker SPEAKER_05
transcript.pyannote[1932].start 11965.78971875
transcript.pyannote[1932].end 11977.23096875
transcript.pyannote[1933].speaker SPEAKER_05
transcript.pyannote[1933].start 11977.48409375
transcript.pyannote[1933].end 11980.38659375
transcript.pyannote[1934].speaker SPEAKER_05
transcript.pyannote[1934].start 11980.99409375
transcript.pyannote[1934].end 11981.58471875
transcript.pyannote[1935].speaker SPEAKER_15
transcript.pyannote[1935].start 11981.87159375
transcript.pyannote[1935].end 11984.65596875
transcript.pyannote[1936].speaker SPEAKER_05
transcript.pyannote[1936].start 11983.47471875
transcript.pyannote[1936].end 11984.36909375
transcript.pyannote[1937].speaker SPEAKER_05
transcript.pyannote[1937].start 11984.63909375
transcript.pyannote[1937].end 11986.63034375
transcript.pyannote[1938].speaker SPEAKER_05
transcript.pyannote[1938].start 11986.83284375
transcript.pyannote[1938].end 11987.15346875
transcript.pyannote[1939].speaker SPEAKER_05
transcript.pyannote[1939].start 11987.37284375
transcript.pyannote[1939].end 12016.56659375
transcript.pyannote[1940].speaker SPEAKER_08
transcript.pyannote[1940].start 12000.68721875
transcript.pyannote[1940].end 12000.72096875
transcript.pyannote[1941].speaker SPEAKER_14
transcript.pyannote[1941].start 12016.56659375
transcript.pyannote[1941].end 12018.54096875
transcript.pyannote[1942].speaker SPEAKER_05
transcript.pyannote[1942].start 12017.24159375
transcript.pyannote[1942].end 12021.49409375
transcript.pyannote[1943].speaker SPEAKER_05
transcript.pyannote[1943].start 12022.05096875
transcript.pyannote[1943].end 12024.09284375
transcript.pyannote[1944].speaker SPEAKER_05
transcript.pyannote[1944].start 12025.00409375
transcript.pyannote[1944].end 12035.01096875
transcript.pyannote[1945].speaker SPEAKER_08
transcript.pyannote[1945].start 12025.03784375
transcript.pyannote[1945].end 12025.52721875
transcript.pyannote[1946].speaker SPEAKER_08
transcript.pyannote[1946].start 12026.91096875
transcript.pyannote[1946].end 12027.50159375
transcript.pyannote[1947].speaker SPEAKER_14
transcript.pyannote[1947].start 12033.59346875
transcript.pyannote[1947].end 12044.20784375
transcript.pyannote[1948].speaker SPEAKER_05
transcript.pyannote[1948].start 12039.24659375
transcript.pyannote[1948].end 12042.23346875
transcript.pyannote[1949].speaker SPEAKER_05
transcript.pyannote[1949].start 12042.75659375
transcript.pyannote[1949].end 12067.90034375
transcript.pyannote[1950].speaker SPEAKER_05
transcript.pyannote[1950].start 12068.60909375
transcript.pyannote[1950].end 12069.72284375
transcript.pyannote[1951].speaker SPEAKER_08
transcript.pyannote[1951].start 12069.72284375
transcript.pyannote[1951].end 12069.89159375
transcript.pyannote[1952].speaker SPEAKER_12
transcript.pyannote[1952].start 12081.48471875
transcript.pyannote[1952].end 12082.56471875
transcript.pyannote[1953].speaker SPEAKER_12
transcript.pyannote[1953].start 12084.42096875
transcript.pyannote[1953].end 12085.45034375
transcript.pyannote[1954].speaker SPEAKER_12
transcript.pyannote[1954].start 12087.17159375
transcript.pyannote[1954].end 12091.71096875
transcript.pyannote[1955].speaker SPEAKER_12
transcript.pyannote[1955].start 12093.24659375
transcript.pyannote[1955].end 12101.58284375
transcript.pyannote[1956].speaker SPEAKER_12
transcript.pyannote[1956].start 12101.97096875
transcript.pyannote[1956].end 12106.66221875
transcript.pyannote[1957].speaker SPEAKER_12
transcript.pyannote[1957].start 12106.89846875
transcript.pyannote[1957].end 12112.80471875
transcript.pyannote[1958].speaker SPEAKER_12
transcript.pyannote[1958].start 12113.31096875
transcript.pyannote[1958].end 12115.55534375
transcript.pyannote[1959].speaker SPEAKER_12
transcript.pyannote[1959].start 12116.31471875
transcript.pyannote[1959].end 12121.59659375
transcript.pyannote[1960].speaker SPEAKER_12
transcript.pyannote[1960].start 12121.83284375
transcript.pyannote[1960].end 12124.09409375
transcript.pyannote[1961].speaker SPEAKER_12
transcript.pyannote[1961].start 12124.44846875
transcript.pyannote[1961].end 12126.69284375
transcript.pyannote[1962].speaker SPEAKER_12
transcript.pyannote[1962].start 12127.16534375
transcript.pyannote[1962].end 12132.88596875
transcript.pyannote[1963].speaker SPEAKER_15
transcript.pyannote[1963].start 12144.25971875
transcript.pyannote[1963].end 12145.67721875
transcript.pyannote[1964].speaker SPEAKER_15
transcript.pyannote[1964].start 12146.26784375
transcript.pyannote[1964].end 12147.58409375
transcript.pyannote[1965].speaker SPEAKER_15
transcript.pyannote[1965].start 12149.59221875
transcript.pyannote[1965].end 12154.58721875
transcript.pyannote[1966].speaker SPEAKER_15
transcript.pyannote[1966].start 12154.84034375
transcript.pyannote[1966].end 12157.50659375
transcript.pyannote[1967].speaker SPEAKER_15
transcript.pyannote[1967].start 12157.82721875
transcript.pyannote[1967].end 12159.21096875
transcript.pyannote[1968].speaker SPEAKER_15
transcript.pyannote[1968].start 12159.48096875
transcript.pyannote[1968].end 12162.06284375
transcript.pyannote[1969].speaker SPEAKER_15
transcript.pyannote[1969].start 12162.61971875
transcript.pyannote[1969].end 12163.42971875
transcript.pyannote[1970].speaker SPEAKER_15
transcript.pyannote[1970].start 12163.76721875
transcript.pyannote[1970].end 12164.27346875
transcript.pyannote[1971].speaker SPEAKER_15
transcript.pyannote[1971].start 12164.56034375
transcript.pyannote[1971].end 12165.52221875
transcript.pyannote[1972].speaker SPEAKER_15
transcript.pyannote[1972].start 12165.94409375
transcript.pyannote[1972].end 12166.48409375
transcript.pyannote[1973].speaker SPEAKER_15
transcript.pyannote[1973].start 12166.87221875
transcript.pyannote[1973].end 12167.86784375
transcript.pyannote[1974].speaker SPEAKER_15
transcript.pyannote[1974].start 12168.17159375
transcript.pyannote[1974].end 12170.65221875
transcript.pyannote[1975].speaker SPEAKER_15
transcript.pyannote[1975].start 12171.09096875
transcript.pyannote[1975].end 12173.26784375
transcript.pyannote[1976].speaker SPEAKER_15
transcript.pyannote[1976].start 12173.40284375
transcript.pyannote[1976].end 12174.97221875
transcript.pyannote[1977].speaker SPEAKER_15
transcript.pyannote[1977].start 12175.36034375
transcript.pyannote[1977].end 12176.03534375
transcript.pyannote[1978].speaker SPEAKER_15
transcript.pyannote[1978].start 12176.08596875
transcript.pyannote[1978].end 12178.53284375
transcript.pyannote[1979].speaker SPEAKER_15
transcript.pyannote[1979].start 12178.78596875
transcript.pyannote[1979].end 12180.08534375
transcript.pyannote[1980].speaker SPEAKER_15
transcript.pyannote[1980].start 12180.33846875
transcript.pyannote[1980].end 12183.54471875
transcript.pyannote[1981].speaker SPEAKER_15
transcript.pyannote[1981].start 12183.71346875
transcript.pyannote[1981].end 12194.49659375
transcript.pyannote[1982].speaker SPEAKER_15
transcript.pyannote[1982].start 12196.04909375
transcript.pyannote[1982].end 12198.41159375
transcript.pyannote[1983].speaker SPEAKER_15
transcript.pyannote[1983].start 12198.81659375
transcript.pyannote[1983].end 12199.60971875
transcript.pyannote[1984].speaker SPEAKER_15
transcript.pyannote[1984].start 12199.96409375
transcript.pyannote[1984].end 12202.10721875
transcript.pyannote[1985].speaker SPEAKER_15
transcript.pyannote[1985].start 12203.25471875
transcript.pyannote[1985].end 12205.44846875
transcript.pyannote[1986].speaker SPEAKER_15
transcript.pyannote[1986].start 12205.93784375
transcript.pyannote[1986].end 12208.45221875
transcript.pyannote[1987].speaker SPEAKER_15
transcript.pyannote[1987].start 12208.94159375
transcript.pyannote[1987].end 12211.16909375
transcript.pyannote[1988].speaker SPEAKER_15
transcript.pyannote[1988].start 12211.21971875
transcript.pyannote[1988].end 12214.51034375
transcript.pyannote[1989].speaker SPEAKER_15
transcript.pyannote[1989].start 12214.78034375
transcript.pyannote[1989].end 12216.29909375
transcript.pyannote[1990].speaker SPEAKER_15
transcript.pyannote[1990].start 12216.75471875
transcript.pyannote[1990].end 12218.03721875
transcript.pyannote[1991].speaker SPEAKER_15
transcript.pyannote[1991].start 12218.44221875
transcript.pyannote[1991].end 12218.89784375
transcript.pyannote[1992].speaker SPEAKER_15
transcript.pyannote[1992].start 12219.62346875
transcript.pyannote[1992].end 12221.10846875
transcript.pyannote[1993].speaker SPEAKER_15
transcript.pyannote[1993].start 12221.39534375
transcript.pyannote[1993].end 12222.74534375
transcript.pyannote[1994].speaker SPEAKER_15
transcript.pyannote[1994].start 12223.09971875
transcript.pyannote[1994].end 12226.52534375
transcript.pyannote[1995].speaker SPEAKER_15
transcript.pyannote[1995].start 12227.06534375
transcript.pyannote[1995].end 12231.16596875
transcript.pyannote[1996].speaker SPEAKER_15
transcript.pyannote[1996].start 12231.45284375
transcript.pyannote[1996].end 12234.43971875
transcript.pyannote[1997].speaker SPEAKER_15
transcript.pyannote[1997].start 12234.81096875
transcript.pyannote[1997].end 12236.66721875
transcript.pyannote[1998].speaker SPEAKER_15
transcript.pyannote[1998].start 12236.76846875
transcript.pyannote[1998].end 12238.21971875
transcript.pyannote[1999].speaker SPEAKER_15
transcript.pyannote[1999].start 12238.70909375
transcript.pyannote[1999].end 12256.32659375
transcript.pyannote[2000].speaker SPEAKER_15
transcript.pyannote[2000].start 12256.96784375
transcript.pyannote[2000].end 12258.97596875
transcript.pyannote[2001].speaker SPEAKER_15
transcript.pyannote[2001].start 12259.12784375
transcript.pyannote[2001].end 12260.14034375
transcript.pyannote[2002].speaker SPEAKER_15
transcript.pyannote[2002].start 12260.47784375
transcript.pyannote[2002].end 12261.69284375
transcript.pyannote[2003].speaker SPEAKER_15
transcript.pyannote[2003].start 12262.23284375
transcript.pyannote[2003].end 12262.99221875
transcript.pyannote[2004].speaker SPEAKER_15
transcript.pyannote[2004].start 12263.24534375
transcript.pyannote[2004].end 12264.35909375
transcript.pyannote[2005].speaker SPEAKER_15
transcript.pyannote[2005].start 12264.59534375
transcript.pyannote[2005].end 12265.74284375
transcript.pyannote[2006].speaker SPEAKER_15
transcript.pyannote[2006].start 12265.94534375
transcript.pyannote[2006].end 12271.42971875
transcript.pyannote[2007].speaker SPEAKER_15
transcript.pyannote[2007].start 12271.56471875
transcript.pyannote[2007].end 12276.20534375
transcript.pyannote[2008].speaker SPEAKER_15
transcript.pyannote[2008].start 12276.62721875
transcript.pyannote[2008].end 12292.06784375
transcript.pyannote[2009].speaker SPEAKER_15
transcript.pyannote[2009].start 12292.54034375
transcript.pyannote[2009].end 12294.51471875
transcript.pyannote[2010].speaker SPEAKER_15
transcript.pyannote[2010].start 12294.70034375
transcript.pyannote[2010].end 12300.65721875
transcript.pyannote[2011].speaker SPEAKER_15
transcript.pyannote[2011].start 12301.39971875
transcript.pyannote[2011].end 12302.93534375
transcript.pyannote[2012].speaker SPEAKER_15
transcript.pyannote[2012].start 12303.30659375
transcript.pyannote[2012].end 12309.66846875
transcript.pyannote[2013].speaker SPEAKER_15
transcript.pyannote[2013].start 12310.17471875
transcript.pyannote[2013].end 12310.68096875
transcript.pyannote[2014].speaker SPEAKER_15
transcript.pyannote[2014].start 12311.35596875
transcript.pyannote[2014].end 12321.29534375
transcript.pyannote[2015].speaker SPEAKER_15
transcript.pyannote[2015].start 12321.70034375
transcript.pyannote[2015].end 12324.16409375
transcript.pyannote[2016].speaker SPEAKER_15
transcript.pyannote[2016].start 12324.38346875
transcript.pyannote[2016].end 12331.55534375
transcript.pyannote[2017].speaker SPEAKER_15
transcript.pyannote[2017].start 12332.44971875
transcript.pyannote[2017].end 12333.73221875
transcript.pyannote[2018].speaker SPEAKER_15
transcript.pyannote[2018].start 12334.10346875
transcript.pyannote[2018].end 12335.84159375
transcript.pyannote[2019].speaker SPEAKER_15
transcript.pyannote[2019].start 12335.92596875
transcript.pyannote[2019].end 12349.03784375
transcript.pyannote[2020].speaker SPEAKER_15
transcript.pyannote[2020].start 12349.34159375
transcript.pyannote[2020].end 12351.45096875
transcript.pyannote[2021].speaker SPEAKER_15
transcript.pyannote[2021].start 12351.65346875
transcript.pyannote[2021].end 12357.66096875
transcript.pyannote[2022].speaker SPEAKER_15
transcript.pyannote[2022].start 12358.15034375
transcript.pyannote[2022].end 12358.92659375
transcript.pyannote[2023].speaker SPEAKER_15
transcript.pyannote[2023].start 12359.51721875
transcript.pyannote[2023].end 12367.81971875
transcript.pyannote[2024].speaker SPEAKER_15
transcript.pyannote[2024].start 12368.35971875
transcript.pyannote[2024].end 12373.86096875
transcript.pyannote[2025].speaker SPEAKER_15
transcript.pyannote[2025].start 12374.04659375
transcript.pyannote[2025].end 12374.82284375
transcript.pyannote[2026].speaker SPEAKER_15
transcript.pyannote[2026].start 12375.59909375
transcript.pyannote[2026].end 12381.79221875
transcript.pyannote[2027].speaker SPEAKER_15
transcript.pyannote[2027].start 12382.06221875
transcript.pyannote[2027].end 12391.03971875
transcript.pyannote[2028].speaker SPEAKER_15
transcript.pyannote[2028].start 12391.25909375
transcript.pyannote[2028].end 12394.71846875
transcript.pyannote[2029].speaker SPEAKER_12
transcript.pyannote[2029].start 12396.18659375
transcript.pyannote[2029].end 12398.07659375
transcript.pyannote[2030].speaker SPEAKER_12
transcript.pyannote[2030].start 12398.65034375
transcript.pyannote[2030].end 12413.43284375
transcript.pyannote[2031].speaker SPEAKER_12
transcript.pyannote[2031].start 12413.77034375
transcript.pyannote[2031].end 12424.78971875
transcript.whisperx[0].start 1727.068
transcript.whisperx[0].end 1740.293
transcript.whisperx[0].text 我們繼續開會對行政院院長施政方針及施政報告繼續質詢今天我們繼續質詢社會福利及衛生環境組質詢首先請陳玉珍委員質詢王振旭委員請準備謝謝主席我們先請這個衛福部
transcript.whisperx[1].start 1752.779
transcript.whisperx[1].end 1752.94
transcript.whisperx[1].text 請衛福部長備詢
transcript.whisperx[2].start 1769.512
transcript.whisperx[2].end 1793.166
transcript.whisperx[2].text 副院長我想請教您醫師法第28條第1項第6款寫道外國醫事人員與教學院接受臨床醫療訓練或是從事短期臨床醫療教學且符合第11條之7這項所定辦法中有關需求地點期間及執行醫療業務遵循的規定還有第41條之7的第1項第2項寫道教學院接受
transcript.whisperx[3].start 1793.786
transcript.whisperx[3].end 1814.925
transcript.whisperx[3].text 外國醫事人員接受臨床診斷點點取得醫生同意這個取得病人同意點點點教學人員邀請外國醫事人員從事這個短期醫療教學等等請問在這些條文這個在你們醫事法這些條文外國醫事人員有沒有包含中國大陸的醫事人員好 跟委員說明這個過去呢
transcript.whisperx[4].start 1816.252
transcript.whisperx[4].end 1844.399
transcript.whisperx[4].text 對於醫師法這兩條的外國醫師人員的解釋都還要對應到醫師法第四條的應考資格那麼所稱的國外醫學大學或獨立學院的應考資格這裡所謂的國外大學或獨立學院是不包含中國大陸地區所以回珠這兩條的立法意旨合併起來看那麼在二十八條的第一項第六款的外國醫師人員
transcript.whisperx[5].start 1845.777
transcript.whisperx[5].end 1871.364
transcript.whisperx[5].text 指我們可承認學歷能夠符合應考資格的外國醫事人員是不包含大陸地區的醫事人員嘛沒錯嘛那所以我在修這個離島建設條例當我提案裡頭寫到國際醫療特區啊這個外國醫事人員的時候我們指的並不是我的本意當然也知道因為中國法律就這樣規定並不是這個中國大陸的醫事人員嘛
transcript.whisperx[6].start 1871.544
transcript.whisperx[6].end 1892.5
transcript.whisperx[6].text 可是網路上有相當多的謠言就在說我們要開放大陸的醫師啊護士啊等等啊醫師等等啊什麼這個做這樣子以而傳的這個謠言謝謝謝謝部長把這個法律講得很清楚好謝謝您請回座好謝謝接著對不起部長還有一個這個離島的這個看護工的這個部分這個
transcript.whisperx[7].start 1894.682
transcript.whisperx[7].end 1924.182
transcript.whisperx[7].text 我們這個離島康復工因為你知道我們這個離島這個不管工程或是工人都不容易找那你知道像你那個長照大樓已經標了12次標不出去因為這個本島的這個公司也比較不願意來離島做那以後如果即便長照大樓81床的長照大樓做好我們的康復工也會不足啦所以我們希望針對這個我這次在離島經濟條例修正中針對離島這個機構的康復工這個申請聘僱外國移工的總共我們希望可以提高
transcript.whisperx[8].start 1924.842
transcript.whisperx[8].end 1944.75
transcript.whisperx[8].text 這跟百姓是有相關的希望這個衛護未來也可以支持可以嗎可以可以 我們來看這個需求的部分做彈性的調整對嘛 你有感受到嘛你們看你們這次的這個金門一個長照道飆了一兩年飆不出去那不管是工人也好或是這個各方面的醫療的需求金門
transcript.whisperx[9].start 1946.13
transcript.whisperx[9].end 1959.636
transcript.whisperx[9].text 外島的確是比台灣這個辛苦很多所以部分希望我們這個衛部要多支持好沒問題謝謝好謝謝委員對不起還有一題這個醫護宿舍的這個部分
transcript.whisperx[10].start 1962.018
transcript.whisperx[10].end 1989.258
transcript.whisperx[10].text 醫護人員要到金門來服務也是相當的這個比較少啦現在到處都缺護士嘛那當然我們金門縣政府也自己也提供了一些資源對不對加了那個留任獎金不過我覺得有一點就是就是有關這個宿舍的部分那他們現在住的宿舍有點像大學生的這個宿舍這個部分這個外部有沒有什麼想法可以來幫我們留住這個在金門地區服務的這個醫事人員嗎不管是醫生護士方設施各方面的治療師
transcript.whisperx[11].start 1990.399
transcript.whisperx[11].end 2009.988
transcript.whisperx[11].text 跟委員說明在對於這個金門地區特別是金門醫院我們在健保的給付上有很多的我知道我們有爭取一些加給付但是因為金門的這個人口很少所以醫院不可能也不容易賺錢嘛那時候當然需要政府投資更好還有資源嘛
transcript.whisperx[12].start 2011.989
transcript.whisperx[12].end 2036.033
transcript.whisperx[12].text 醫中治療計畫、IDS計畫等等我們都很清楚那至於留住優秀人才的部分我們也有公費生計畫像近期就有這個公費生已經回去醫療業做這個也沒問題就提升了在地的照護量能至於宿舍的部分我們很重視所以目前大概我們有100床的宿舍那麼使用大概80床左右還有20床的規模
transcript.whisperx[13].start 2036.593
transcript.whisperx[13].end 2052.544
transcript.whisperx[13].text 那至於說你們那個宿舍我跟你說實話很像大學生宿舍現在這個去當醫生當護士的人都是成年人你們都像大學上幾個人一間幾個人一間這樣事實上連一點隱私都沒有怎麼樣吸引人家到這個金門去嘛
transcript.whisperx[14].start 2053.686
transcript.whisperx[14].end 2072.136
transcript.whisperx[14].text 所以我是說是不是蓋一棟比較好的醫護的醫事人員的宿舍讓遠道從台灣過來幫我們服務的醫事人員比較有一個自己獨立的空間這個部分是不是我也不可以在這方面琢磨我們來評估一下 改善醫護人員的住宿條件
transcript.whisperx[15].start 2076.598
transcript.whisperx[15].end 2101.88
transcript.whisperx[15].text 不然金門一樣面臨到沒有護士這個床開不起來很大已經越來越大的這個問題了那當然這個部分如果衛護願意協助我想我們金門縣政府也願意協助我們金門縣政府也是很願意出金門每年也是花了一億的錢我們也補助金門醫院部立金門醫院一億多的錢八千一億的錢給計畫給留任獎金這個大家可以中央地方一起來協助好嗎好謝謝謝謝部長好謝謝先請那個環境部
transcript.whisperx[16].start 2105.512
transcript.whisperx[16].end 2106.238
transcript.whisperx[16].text 他還請環境部長備詢
transcript.whisperx[17].start 2115.663
transcript.whisperx[17].end 2143.475
transcript.whisperx[17].text 委員好部長喔 我要請教齁這個環境部以前齁在金門做了一個宣誓齁這個也是我們院長 左院長有宣誓齁就是說要把金門建設成低碳熱活的一個離島嘛這個上回我在提這個院長雖然沒上來 上回在我們這邊提到這個這個人員發電的時候說這個金門的都是用柴油發電嘛那希望是不是低碳熱活用柴油發電事實上是非常的不節能減碳對吧 部長是
transcript.whisperx[18].start 2144.435
transcript.whisperx[18].end 2166.669
transcript.whisperx[18].text 對不對,有提到所以我上回在這裡,院長有在,但您可能沒有聽到水源的配合計畫我們有了但是我們現在,你知道金門最大的一個碳排大會是哪些地方嗎?就是電力發電,發電業電力發電,它是用什麼發電?就是傳統的柴油柴油嘛,那這個碳排量是相當高金門的電力公司,台電的話一年在金門碳排有多高,你知道嗎?
transcript.whisperx[19].start 2167.962
transcript.whisperx[19].end 2180.59
transcript.whisperx[19].text 我沒有特別,現在沒有數據,但是我知道他的比例是16萬公噸你們現在是不是有規定超過2.5萬公噸的話就會列入這個碳排大戶要徵收碳費?對那基本上這個台電塔山電廠會被列入嗎?
transcript.whisperx[20].start 2183.511
transcript.whisperx[20].end 2203.588
transcript.whisperx[20].text 台電是整個來算所以基本上那個我所知道的是因為台電他本身他減碳也很努力啦所以他的碳費是沒有很高大概是一噸20塊左右一噸20塊嘛那金門的這個部分因為金門是一個獨立的這個就是獨立一個發電的電網你們那時候說地攤熱火導噴這個智慧電網噴是已經做起來了
transcript.whisperx[21].start 2208.253
transcript.whisperx[21].end 2215.588
transcript.whisperx[21].text 智慧電網這個是值得期許的那你們那時候說了幾點你們要做四點你們說要做綠色運輸要做智慧電網你們說要這個這個
transcript.whisperx[22].start 2219.094
transcript.whisperx[22].end 2243.556
transcript.whisperx[22].text 這個地方做好了啊節能減碳的部分有關這個太陽能的這個部分的已經達到百分之一百二十二這個也是做好了但是現在對這個綠色運輸部分你知道你們在一百環境部在一百零基本在一百零二零零上面所買的大概十幾台十二台啊十二台花了七千兩百萬買了十二台的電動公車您知道這件事嗎知道知道後來發生什麼事情
transcript.whisperx[23].start 2244.717
transcript.whisperx[23].end 2262.971
transcript.whisperx[23].text 報告委員因為現在就是說財化法過後其實這個都是屬於地方的我不在講財化我在講這些工作化發生什麼事情基本上因為全台灣現在我們2030的電動化是一個目標但是其實這個預算弄起來是非常可觀的我不要再說預算了因為這些工作化發生什麼事情你知道嗎
transcript.whisperx[24].start 2263.692
transcript.whisperx[24].end 2293.212
transcript.whisperx[24].text 因為你們打算把金門變成一個低碳島有時候三二零願景希望在一百零九年人均碳排量降到兩公尺一百一十九年達到碳中和在金門一百零三年後來過去了過了十年了太陽光電有達成了手作智慧電網也有達成但是在綠色運輸跟碳排大會轉型沒有達成什麼叫沒有達成第一個 你知道後來那些公車去年一百一三年廢棄不用了嗎
transcript.whisperx[25].start 2294.773
transcript.whisperx[25].end 2317.472
transcript.whisperx[25].text 為什麼?費用的問題不是費用問題因為沒有廠商願意過去維修當然費用是因為廠商覺得費用高那這也不是費用問題這是廠商不願意過去維修他們維修成本太高那金門到底要怎麼推動地碳島?你的目標到底要怎麼推動?包委員因為這個我知道說金門大概十幾年前十幾年前其實有規劃真的是地碳島
transcript.whisperx[26].start 2318.132
transcript.whisperx[26].end 2332.748
transcript.whisperx[26].text 但是當時設計的這個樣態跟現在科技是不一樣啦那我們會再找時間再來評估一下因為我上任之後這兩年其實並沒有針對金門有特別的有一些很好的規劃那是十幾年前有定的一些目標我知道所以
transcript.whisperx[27].start 2333.248
transcript.whisperx[27].end 2349.838
transcript.whisperx[27].text 如果廠商不管像剛剛說衛福部的施工工程廠照的人員或電動公車沒有人願意去維修這種問題這個問題都是相當嚴重的因為離島等於是資源比較缺乏即便有時候用比較高的動力資源
transcript.whisperx[28].start 2352.219
transcript.whisperx[28].end 2372.671
transcript.whisperx[28].text 最後費用人家也不願意過去這個你們環境部要真的好好想想那還有有關減低碳排的部分不管是最大的兩個碳排大戶一個是台電公司一個是金酒公司都沒有做到半點事情你們沒有花任何一點力氣讓金門去減低碳排老百姓因為這樣實際上吸到比較不好的空氣
transcript.whisperx[29].start 2373.672
transcript.whisperx[29].end 2388.092
transcript.whisperx[29].text 然後你們現在 我請你們研究這個天然氣 你們也覺得不可行這個台電那天講說不可行啊 接收站怎麼太貴啊點點的 那你到底要怎麼樣讓金門可以拿到低碳島包委員 金門酒廠是有努力要減碳啦我有看過他們的規劃
transcript.whisperx[30].start 2390.835
transcript.whisperx[30].end 2404.971
transcript.whisperx[30].text 他們自己要自己做啦企業當然是會做他是一個政府的單位我有看過他的一個做法金門這個未來也廢棄掉啊原來要改成天然氣也廢棄掉啊台北也不願意做天然氣接收站啊什麼都沒有啊
transcript.whisperx[31].start 2405.612
transcript.whisperx[31].end 2428.258
transcript.whisperx[31].text 對 我們會鼓勵他有一些更好的一個做法因為久常的轉移好 請針對金門這個你想要做這個低碳導也是院長宣示這個什麼低碳熱火部你們再提出相關的計畫給金門好不好是是 我們現在重新因為現在當時想的都是十幾年前的那樣的一個做法但是現在我是覺得因為時空的環境調整 科技的調整有必要再有一個新的規劃出來再給我們一些
transcript.whisperx[32].start 2429.358
transcript.whisperx[32].end 2448.987
transcript.whisperx[32].text 幫助我們來改進真的是這個整個碳排是很嚴重還是要用柴油燒發電啦在金九用柴油都是很嚴重的事情啦那以後再不要講以後碳費徵收以後整個所有東西都會變貴嘛那這個碳費徵收針對金門島的部分特別的是不是如果在金門徵收的部分可以讓留在當地給我們使用啊
transcript.whisperx[33].start 2449.287
transcript.whisperx[33].end 2472.915
transcript.whisperx[33].text 他們如果努力減碳的話其實他繳的費用很低那基本上我們現在就是沒有減嘛沒有在做任何事情嘛他一定就是要收柴油嘛他就不願意做天然氣嘛其實金門酒廠他盈餘是很好的他如果他知道他的淨零是酒的一個發展的方向的話他可以來做因為像我們金酒會做啦請你們那個環境部要支持另外一個垃圾處理問題
transcript.whisperx[34].start 2474.355
transcript.whisperx[34].end 2502.361
transcript.whisperx[34].text 對不對 垃圾處理現在趨勢也是留在當地處理比較多嘛對不對 趨勢應該是要這樣子嘛但金門垃圾現在都怎麼處理你知道嗎報告委員因為金門齁 這個垃圾減量做得很好所以台灣的我們做得很好 但是我們還是有垃圾嘛那我們怎麼做目前是我們環境部有出一點錢然後來協助來轉運到台灣來對 要轉運到台灣嘛那轉運到台灣事實上也是不是一個很好的方法嘛對不對 如果能在地處理都是一個好的方法嘛
transcript.whisperx[35].start 2503.061
transcript.whisperx[35].end 2530.868
transcript.whisperx[35].text 但是因為而且轉運到華人現在費用越來越貴對不對對台灣地區有的地方台灣有的縣市也不收是還要我們處理那些殘渣什麼我們根本就沒有人力你到底要我們怎麼做然後第二個費用的部分原來轉運的費用這些費用是你們在出嘛對不對你們現在又說你們也不出了對不對因為財化法的關係你們現在也不出了所以你們就是把這些垃圾讓我們自生自滅決定我們自己自己決定怎麼做嘛對不對
transcript.whisperx[36].start 2531.708
transcript.whisperx[36].end 2556.234
transcript.whisperx[36].text 其實如果說金門努力在減量,它本身如果還有一些好的技術的話其實應該可以在地再處理的,但是要有些新的做法新的做法有什麼做法呢?你們有協助金門縣政府做了什麼事呢?未來的話,例如說它可以做一些小型的氣化爐因為金門的這個量,本身的垃圾量沒有很多它基本上要蓋一個大型的焚化爐也不划算所以基本上應該是小的氣化爐來做處理那有業者願意過去嗎?
transcript.whisperx[37].start 2558.615
transcript.whisperx[37].end 2568.65
transcript.whisperx[37].text 我們現在遇到的問題是所有的事情我們要做的時候基本上沒有業者願意過去因為他的量很小嘛我也知道他的量 但還是要解決嘛對 就是說用小型的氣化爐可能有一些機會啦至少
transcript.whisperx[38].start 2571.671
transcript.whisperx[38].end 2591.678
transcript.whisperx[38].text 機器分選的制度然後一些你說不管是小型氣化爐或什麼固體什麼台灣用的比較進步的這個技術SRF什麼這些東西嘛是不是衛福部呢是不是可以也跟我們做一點協助啊好 這個我們環境部會來規劃一下你們這幾天到底有幫我們做了什麼事呢沒有啊 你看我們的垃圾全部都要自己處理啊
transcript.whisperx[39].start 2592.358
transcript.whisperx[39].end 2613.765
transcript.whisperx[39].text 那我跟你說不然的話我們把他運到中國大陸去啊對 幫委員不能送到中國大陸因為巴塞爾公約巴塞爾公約我剛剛跟你提過巴塞爾公約是指國與國之間的關係嘛這一國不能遇到另外一國嘛在中華民國憲法就不是這樣子嘛是不是你就運用這個模糊的空間中國大陸也不會這樣認為是國與國關係我們就把他送到大陸去他也願意收
transcript.whisperx[40].start 2615
transcript.whisperx[40].end 2635.961
transcript.whisperx[40].text 是不是?你認識我的意思嗎?你知道我的意思嗎?我知道,但是他們的海盜垃圾也蠻多的那現在在兩岸這種模糊的一中憲法情況,不管你們承不承認,憲法是這樣規定有兩岸裡面關於條例,在這個情況下,我們垃圾就很多它飄過來的,我們用歸還回去,我們還給它,這樣可不可行?
transcript.whisperx[41].start 2639.806
transcript.whisperx[41].end 2664.536
transcript.whisperx[41].text 這個要討論啦 畢竟這個垃圾如果處理以前做過他如果以前做過測試一次 但是十幾年前做過一次真的沒有成功是嗎 我們現在就他票怪都我們還給他嘛 歸還物對 包圍我們可以討論十幾年前曾經做過但是沒有成功的原因在什麼 我們會再來討論對不對 你就不要 就是利用那個模糊地帶把他的東西還給他是不是我們也減少我們還要處理這個費用 對不對
transcript.whisperx[42].start 2666.82
transcript.whisperx[42].end 2675.487
transcript.whisperx[42].text 好,委員這個東西要討論的啦,我是必須要公眾來討論這件事情啦好,謝謝好,謝謝陳怡珍委員質詢,謝謝各部會閣員的備詢,謝謝接下來我們請王振旭委員質詢,謝龍介委員請準備
transcript.whisperx[43].start 2705.322
transcript.whisperx[43].end 2712.347
transcript.whisperx[43].text 好謝謝主席有請行政院主任院長還有衛福部時部長麻煩請主任院長衛福部長備詢委員好 院長早委員早 部長早
transcript.whisperx[44].start 2730.12
transcript.whisperx[44].end 2759.115
transcript.whisperx[44].text 今天環衛組總質詢有一個非常重要的議題就是有關於這個癌症防治法修法的可行性我先感謝我們卓院長親自主持了中央癌症的防治會報並且在這個會議當中要求相關的部會能夠積極的推動相關這個癌症防治的政策非常感謝卓院長的幫忙那目前我們也知道整體的醫療科技的進步還有用藥跟照顧各方面的進展
transcript.whisperx[45].start 2760.075
transcript.whisperx[45].end 2776.053
transcript.whisperx[45].text 癌症其實慢慢的已經變成是一個慢性病是可控制的一個狀況那特別是我國在賴總統以及行政院團隊積極推動早篩早療還有癌症防治三支箭的這些政策之後呢
transcript.whisperx[46].start 2777.413
transcript.whisperx[46].end 2791
transcript.whisperx[46].text 明確的訂出了2030年我們希望癌症標準化的死亡率要降低三分之一這樣的一個政策目標未來一定會有越來越多算是我們經過處理以後的癌症的存活者
transcript.whisperx[47].start 2791.9
transcript.whisperx[47].end 2818.836
transcript.whisperx[47].text 但這些癌症存活者不管是在預後復歸社會或者是回歸職場還有可能治療過程當中處在亞健康的狀態之下這個都需要政府的協助而且未來趨勢會有越來越多這樣的需求所以我們希望有沒有機會來修改癌症防治法來給這些癌症存活者提供更多更明確的協助那我們可以看一個數據
transcript.whisperx[48].start 2820.939
transcript.whisperx[48].end 2849.138
transcript.whisperx[48].text 我國這個癌症的全年齡全癌別的五年的相對存活率已經從最早有統計1987年到1991年區間的45.4%提高到目前最近2017到2021年區間的62.3%我們可以看得出來這個進步是非常的明顯所以就是說目前癌症五年存活率已經超過了六成而未來的存活率應該會持續的升高我們看到的數據裡面特別2003年
transcript.whisperx[49].start 2851.3
transcript.whisperx[49].end 2867.619
transcript.whisperx[49].text 癌症防治法通過以後最近這幾次的這個存活率的進步非常的穩定而且非常的明顯那如果我們再參考健保排名前十大癌別的這個醫療費用的支出統計資料我們會發現合理的推估目前的癌症存活者
transcript.whisperx[50].start 2868.973
transcript.whisperx[50].end 2882.359
transcript.whisperx[50].text 大約落在100萬名左右100萬名是一個很大的數據也就是說針對癌症存活者的照顧跟協助直接就會幫助到我國超過100萬名以上的這些國民那這個等同就是100萬
transcript.whisperx[51].start 2885.19
transcript.whisperx[51].end 2903.678
transcript.whisperx[51].text 可以透過大家的協助讓癌症的存活讓社會有更大的動能以目前最新的癌症資料統計我們發現2023年癌症新發的人數有13萬8千人左右如果以目前最新的五年存活率來推估的話其中會超過8萬6千人有機會
transcript.whisperx[52].start 2904.537
transcript.whisperx[52].end 2930.742
transcript.whisperx[52].text 活超過五年以上這個就是我們希望能夠這樣的存活率讓對於這些罹癌者有很大很大的一個進步的這個可能性而癌症從絕症轉變成為慢性病的現象就是目前醫界也開始重視這樣的問題像我們成大的這個教授他也是健康台灣推動委員會的癌症防治組的委員成大的這個沈延勝院長
transcript.whisperx[53].start 2931.722
transcript.whisperx[53].end 2959.245
transcript.whisperx[53].text 他在最近四月的這個癌症論壇裡面就明確的指出來說癌症慢性病化以後呢抗癌更會變成是一場長跑因此也需要更加加強這個生理經濟跟心理等層面相關的這些風險管理跟協助也提出在未來抗癌的長跑的過程裡面呢不管是生活管理心理支持還有社區照護體系跟智慧醫療都會扮演越來越重要的一個角色
transcript.whisperx[54].start 2960.406
transcript.whisperx[54].end 2977.693
transcript.whisperx[54].text 這個不只是台灣而已我們也發現在國際上也開始強調對癌症生存者的協助跟照顧像美國NCCN就是美國國家的癌症資訊網就有針對癌症存活者提供明確的指引內容包括明確涉及到預防復發生育
transcript.whisperx[55].start 2980.214
transcript.whisperx[55].end 2998.933
transcript.whisperx[55].text 倦怠 心理健康跟工作等等的面向除了美國以外我們從比較法制上可以把東亞國家包括日本跟韓國為例這個字比較小請麻煩院長再幫忙了解一下像日本的癌症對策基本法在社會協助
transcript.whisperx[56].start 3000.134
transcript.whisperx[56].end 3016.975
transcript.whisperx[56].text 心理支持跟就業支持等層面都有明確的明文規定那在韓國的這個癌症管理法針對癌症存活者的社會復歸職業復歸也有明文規定那相較之下目前我國的這個癌症防治法主要還是在
transcript.whisperx[57].start 3017.816
transcript.whisperx[57].end 3037.256
transcript.whisperx[57].text 著重前端的醫療跟預防防治上面我們可以看得出來其實不同的國家針對這些需求都有做不同的一些處理模式那我們再回頭看一下我們這個癌症防治法是在2003年就立法到現在整體框架為止在當年的18條
transcript.whisperx[58].start 3038.337
transcript.whisperx[58].end 3067.355
transcript.whisperx[58].text 以治療跟預防為主這個框架一直都沒有改變那其實這期間一共有修法過兩次那其中一次2023年那一次只是把科技部改到國科會沒有實質上的修法真正有修法的是在2018年那一次那一次的修正的部分就是在調整這個癌症防治委員會的成員還有增加主管機關可以用菸捐跟團體捐贈來作為經費的來源所以他的修正
transcript.whisperx[59].start 3068.917
transcript.whisperx[59].end 3086.124
transcript.whisperx[59].text 這個範圍其實也相對不是那麼多那我們了解當時候的時代背景癌症防治法的立法主要是要面對問題而且是要先把病人 罹癌者能夠救活然後盡量的去避免癌症罹癌所以當然會著重在預防跟治療的部分非常的清楚
transcript.whisperx[60].start 3086.824
transcript.whisperx[60].end 3112.506
transcript.whisperx[60].text 但隨著這些年大家的努力存活率的提高癌症越來越變成是一個可控跟慢性病化我們剛剛已經有說明那以癌症存活者越來越多我國法治上也好像也應該要配合增加對於罹癌者以後長照還有復歸社會跟職場的協助所以從螢幕上紅色的字裡面我們很期待這次的修法內容包括針對這個罹癌的勞工
transcript.whisperx[61].start 3115.348
transcript.whisperx[61].end 3143.133
transcript.whisperx[61].text 做適性配工植物來設計再設計來鼓勵支持方案等等那在長照的資源也需要加以整合那第三點就是避免這些罹癌治療導致財務毒性相關的措施還有相關的這些統計的分析那第四點就是強化生活模式的改善避免復發跟心理還有社區方面的這些加強的支持那比方說我們來看一下第三條第三條目前
transcript.whisperx[62].start 3144.033
transcript.whisperx[62].end 3163.318
transcript.whisperx[62].text 癌症防治法定義還是只限在癌症跟癌症篩檢這兩個基本的內容其實我們還是需要針對有需要政府協助的這些癌症存活者做出定義重新來釐清如果實務上碰到問題的話那這些罹癌者他們接受治療以後
transcript.whisperx[63].start 3164.218
transcript.whisperx[63].end 3188.477
transcript.whisperx[63].text 如果還是有一些問題需要政府幫忙的話那我們如何把這一群民眾能夠把它匡列出來的確我們也了解有些罹癌者他很早期篩以後他可以把這個早期癌症做非常完整的治療他就跟正常健康者一樣可以完整的回歸到社會可是還是有一部分的民眾他可能需要
transcript.whisperx[64].start 3189.378
transcript.whisperx[64].end 3214.359
transcript.whisperx[64].text 透過大家更好的協助因為他可能持續的長期存在一個亞健康的狀態所以當初的立法核心是在醫療端但是你以來這個癌症的衝擊除了醫療端以外其實現在希望能夠越來越強調生活社區跟工作等經濟還有社會面的協助那第四條的部分癌症防治的範圍要不要更明確的擴大避免復發甚至
transcript.whisperx[65].start 3215.3
transcript.whisperx[65].end 3230.258
transcript.whisperx[65].text 歸到社會也是可以討論的部分所以總而言之我們認為這是癌防法的修法的訴求的方向主要就是讓這個癌症防治在這些年的成果上在賴總統健康台灣政策的成果上面進一步去處理吧
transcript.whisperx[66].start 3230.978
transcript.whisperx[66].end 3244.867
transcript.whisperx[66].text 這個癌症病人救活以後怎麼來協助避免復發怎麼能夠協助他們回歸到正常生活跟工作也繼續要讓這個病如果變成慢性變化的話那目前整體
transcript.whisperx[67].start 3246.28
transcript.whisperx[67].end 3272.681
transcript.whisperx[67].text 我們把醫界、學界還有病友團體等相關領域的意見針對癌症防治法跟國家癌症防治計畫強化後端整體癌症存活者協助的建議期待我們有下列這六個方向的支持就業、經濟、照顧、心理、社區跟家庭六個方面的支持就業支持就包括請假、續聘、求職跟工作調整等
transcript.whisperx[68].start 3273.482
transcript.whisperx[68].end 3284.252
transcript.whisperx[68].text 經濟部分是希望能夠針對家庭經濟的衝擊來追蹤還有協助照顧部分希望能夠有長照需求方面的協助心裡的話就包括不管是
transcript.whisperx[69].start 3284.912
transcript.whisperx[69].end 3311.165
transcript.whisperx[69].text 癌症患者還有他家屬整體的心理健康的支持社區的部分希望能夠系統性的來強化癌症防治的醫設工作家庭支持就包括生育協助還有生活型態等等的改善的部分那針對這些有需求的癌症存活者的政策協助以及在癌症防治法修法還有納入國家癌症計畫的部分請院長還有部長
transcript.whisperx[70].start 3312.125
transcript.whisperx[70].end 3337.853
transcript.whisperx[70].text 相關的回應不曉得有沒有相關的規劃或者是想法院長請細部的回應我請部長來跟委員來報告不過我很感謝國人隊委員長期以來對於癌症防止的工作尤其希望基金會投入了很多的社會貢獻那在健康台灣當中在癌症的早篩早療以及他的癌症新藥以及降低癌症的死亡率都是健康台灣當中重要的幾個目標的指向
transcript.whisperx[71].start 3338.553
transcript.whisperx[71].end 3362.174
transcript.whisperx[71].text 那我們也在研究的過程當中針對各種不同的癌症的太陽從他的發現的早晚 早期或晚期發現以及他的治療的難易程度做了交叉的比對來尋找出一個最有效的方式或者尋找出如何來解決能夠早期發現進行有效治療這個途徑那剛剛委員提到我們過去所做的大概在前端的防治工作做得比較多那因為隨著醫療醫學的進步
transcript.whisperx[72].start 3363.695
transcript.whisperx[72].end 3386.415
transcript.whisperx[72].text 對於癌症病患的能夠從醫療的行為當中讓他得到新的一個機會這個可能性是越來越高的所以往後的復歸無論是在剛剛您說的植物的再設計或者生活形態的模式的改變乃至於跟長照的銜接都是未來必須加重的工作那我們在癌症的防治過程當中關於癌症防治法的修正我們非常的重視請部長來做進一步的說明
transcript.whisperx[73].start 3388.377
transcript.whisperx[73].end 3410.134
transcript.whisperx[73].text 跟委員說明這個癌症防治法正是當年我們賴總統在時任立法委員的時候極力推動所促成那在這個因為有這個癌症防治法所以我們就依法必須要編列國家的癌症防治計畫所以今年已經是第五期的國家癌症防治計畫而這個癌症防治計畫的內容也除了從
transcript.whisperx[74].start 3412.022
transcript.whisperx[74].end 3433.528
transcript.whisperx[74].text 癌篩的擴大像總統上任之後一年的癌篩費用就從28億成長到68億那麼另外在治療的部分有癌症基金癌症新藥基金來支持這也都是我們總統的政見來協助在經濟的部分對癌友的支持那麼至於除了這樣之外對於家庭
transcript.whisperx[75].start 3434.648
transcript.whisperx[75].end 3450.144
transcript.whisperx[75].text 還有這個癌友的生活品質的支持我們也納在這一期的這個國家癌症防治計畫裡頭另外在就業支持的部分勞動部其實也有推動癌友復歸職場的支持方案
transcript.whisperx[76].start 3450.805
transcript.whisperx[76].end 3476.506
transcript.whisperx[76].text 那另外心理支持的部分我們下半年那麼也會有一個心理諮商的支持癌友這個是關於心理支持所以剛剛委員所提到的這一些建議我們都會把它納入到我們這個癌症防治計畫的滾動式修正來推動那至於說是不是因為雖然那個辦理的內容上那個是當年的立法確實跟我們現在做的
transcript.whisperx[77].start 3477.022
transcript.whisperx[77].end 3504.789
transcript.whisperx[77].text 不完全一致不過呢我們的國家癌症防治計畫是與時俱進的在往前在推進所以委員的建議我們會來評估除了針對這些政策持續推動以外在法條的修正方面也希望能夠透過院長還有部長共同來努力希望能夠把我們剛剛所提到的這些修法內容有機會盡快的來做一些了解進一步來推動
transcript.whisperx[78].start 3505.749
transcript.whisperx[78].end 3521.623
transcript.whisperx[78].text 好那下一個部分就是希望能夠了解提高這個健保補充費的上限我們也知道如果要強化對罹癌病友以及癌症存活者的協助支持的話相關的費用來源是政策考量中必要處理的問題那因此我們是希望
transcript.whisperx[79].start 3522.323
transcript.whisperx[79].end 3548.174
transcript.whisperx[79].text 之前曾經提過多次的健保補充費上限是否有提高空間或者是可能以我們健保署所提供的資料最近三年個人補充保費超過一千萬的比數大約落在八千到九千筆之間對於超過一千萬的收入無論多高最後它只會以一千萬為上限計算它的2.1%的補充保費
transcript.whisperx[80].start 3548.934
transcript.whisperx[80].end 3571.535
transcript.whisperx[80].text 那另外一方面如果每一年不超過1萬筆衝擊面應該就沒那麼廣這些應該都是實際上超過1000萬收入的這些民眾或許有打開到5000萬到1億以上的空間另外我們也請這個健保署提供五年捐款的收入統計平均每年有4000多筆每年有4000多萬元COVID疫情以後這個
transcript.whisperx[81].start 3572.856
transcript.whisperx[81].end 3594.273
transcript.whisperx[81].text 捐款的數量跟金額是有明顯的上升但是主要其中在健保愛心專戶裡面那以台灣的社會的愛心跟能力來講其實是應該有提升的空間所以針對於不管是補充保費的上限還有提高民間的捐款協助整個健保的部分請問院長還有部長的想法能不能有效的
transcript.whisperx[82].start 3594.893
transcript.whisperx[82].end 3619.154
transcript.whisperx[82].text 善用這個台灣人的愛心來讓我們整體的健保制度可以更為完整健保是一種自助也是互助的一個社會保險制度那麼我們希望從健保財務的健全能夠讓它長期穩定的發展衛福部行政院我們會用多元化的方式來尋求健保財務的穩定那會多方的思考當然委員的建議我們也認為是相當可以值得去考慮的一部分
transcript.whisperx[83].start 3619.995
transcript.whisperx[83].end 3625.478
transcript.whisperx[83].text 另外一個委員補充其實我們健保現在有兩筆這個愛心專務好 謝謝王振旭委員質詢謝謝主委長 相關部會首長貝勤 謝謝接下來我們要請介隆介委員質詢林淑芬委員請準備
transcript.whisperx[84].start 3675.492
transcript.whisperx[84].end 3679.314
transcript.whisperx[84].text 主席我請到議長 麻煩請再請主任長備詢謝偉豪議長早 你好 跟你恭喜恭喜 大家恭喜是啊 恭喜啊你做議長
transcript.whisperx[85].start 3707.262
transcript.whisperx[85].end 3729.415
transcript.whisperx[85].text 兩年過五天遇到八年我們一見的台灣經濟新奇蹟啦可以說雖然有一些工作做得比較不及格太陽能的必然差異比較慢但是
transcript.whisperx[86].start 3731.325
transcript.whisperx[86].end 3745.416
transcript.whisperx[86].text 霸凌我們的意見,我們坦白說尤其民間世界要大部分的如果當機時,當然你的幸運給你供應也有勞力,也給你傾聽也當機時,如果沒有很勤國新生,加上孫文璇議長就要當運動員,你確定一定有這個優適之處
transcript.whisperx[87].start 3759.453
transcript.whisperx[87].end 3780.606
transcript.whisperx[87].text 不惜中蘇、勤國、自力和中東無神心對地球儀器往前回來建立了台灣這個護國新三軍所以啊,如果沒有這樣,我們今天什麼AI大埔發,我們會失敗了你看三千,六千要八千
transcript.whisperx[88].start 3783.686
transcript.whisperx[88].end 3808.92
transcript.whisperx[88].text 你有看到這個消息嗎?有第一時間,你覺得他們老闆說什麼拜託不要八天回去做工作每一個人發多少,你知道嗎?三十四萬的美金老闆說不來,我們要你拿十五%出來搬所以你剛才這個事情好那麼,你有說到軍公教要調薪
transcript.whisperx[89].start 3811.431
transcript.whisperx[89].end 3816.992
transcript.whisperx[89].text 我記得 第一次我們的經濟大撥翻是在民國70幾年所以那時候的77年 公共高的調薪是10%你也說到下減每年 今年可能到每年差不多要破3萬嘛這都合理啊 以我們現在的經濟修律跟稅收這都合理 當然資本 要面對挑戰
transcript.whisperx[90].start 3840.629
transcript.whisperx[90].end 3850.375
transcript.whisperx[90].text 沒有辦法面對困難啊所以民國七十七年我們的公共高調薪是十趴民國七十九年是調十二趴民國八十年內公共高調薪是十三趴那麼你這一半的經濟技術會大爆發經濟的生長比過去更好 更漂亮
transcript.whisperx[91].start 3867.591
transcript.whisperx[91].end 3884.526
transcript.whisperx[91].text 更加漂亮 所以總統有錢你也很想做 原意我提出零到十五歲一個月要補貼五千你整棟一棟不敢說的 那我別說了不像你跟總統這樣 不敢說我說十六 十七 十八 要給中央來幫忙因為國管事業財政不定嘛結果你零到十八歲
transcript.whisperx[92].start 3893.274
transcript.whisperx[92].end 3914.861
transcript.whisperx[92].text 我是真的跟你傾斷,但是我等一下會跟你說要怎麼像南韓那樣,真正把性慾弄到回來不用五年,三年來你就可以看到很好的效果你第一天就好了,這下去了,這不是百貨湯,這是油印所以你這個年到十八歲,這五千塊要趕緊實行,當然
transcript.whisperx[93].start 3919.281
transcript.whisperx[93].end 3932.152
transcript.whisperx[93].text 但我的政策不無理由,我是很開心的這叫做英勇、索儉、略懂所以第一,請你聽77年10%、79年12%、80年13%如果這樣,我請問你,你每年公共高調薪,可以超過8%嗎?
transcript.whisperx[94].start 3940.307
transcript.whisperx[94].end 3954.397
transcript.whisperx[94].text 首先感謝委員一開始那個簽訂是針對全國人民和商業的努力和努力沒有啦 你在這個位置就是你的功勞就是你的功勞這沒人有辦法把你掛在那裡如果人民和商業在那裡團結合作但是我也有跟你說我不會去討債 獎金國民債的就是這個創業維艱 守成不易買了這幾十年來我們修這個結構這塊有辦法沒人
transcript.whisperx[95].start 3969.248
transcript.whisperx[95].end 3973.953
transcript.whisperx[95].text 現在我們要看國家的財政、經濟發展、未來社會的投資、家庭的投資、選民的選擇
transcript.whisperx[96].start 3987.495
transcript.whisperx[96].end 3998.641
transcript.whisperx[96].text 所以我覺得一個公共政策不是在逼說誰會主張錢多錢少,是說這個全土的戰略跟完全的配套有完整的...你給我一個論述,4%到6%有可能嘛
transcript.whisperx[97].start 4006.451
transcript.whisperx[97].end 4016.254
transcript.whisperx[97].text 所以想借4%我們過去對蔡總統跟羅總統四邊的調薪都中14%這平均起來我們一半就13%啊你再對蔡總統跟羅總統你不就過去對中經國開始說有啊你剛才也有說過啊我們對中經國總統開始說過你也有說過沒關係啦因為這個我四邊的調薪14%平均是什麼我在這裡跟你說表達這樣叫你表達幾%屬性對你的危難
transcript.whisperx[98].start 4035.121
transcript.whisperx[98].end 4054.64
transcript.whisperx[98].text 因為這會心靈挽回來,所以什麼時候會決定?你很重要嘛,因為你的主觀意志四趴趴去,你會當廳頭嗎?四趴趴四趴趴去,就是想叫四趴我剛才要跟議員說一句話,過去蔡總統跟賴總統四邊條件十四趴,平均起來是超過三趴
transcript.whisperx[99].start 4059.682
transcript.whisperx[99].end 4065.806
transcript.whisperx[99].text 這個基礎我認為是現在這個社會大家要收拾你這次再加六百多 二十百倒徑手比較好看沒關係啦 我跟你講六百八百啦 一定 甚至四百以上這樣就好
transcript.whisperx[100].start 4081.894
transcript.whisperx[100].end 4108.295
transcript.whisperx[100].text 我可以跟委員和全國人民說,我們一定給勞工朋友和所有公共人員在生活安穩的過程當中因為有更多社會支持跟經濟發展,我們要全民討論但是你這個期待,我相信是多少人個人的期待所以你會符合我們的期待就對了我盡量拚命會符合我們的期待好,感謝你人家說炒火鍋沒有熟
transcript.whisperx[101].start 4110.066
transcript.whisperx[101].end 4127.036
transcript.whisperx[101].text 其實AI大步伐 經濟大步伐 大進步也很困難尤其傳統生育 是 製造育我現在要跟你心中 很多生育跟我說我本來上禮拜一直演 演到他們說你不是說日日要這頓飯沒看他們今天現在都在看電視他們拜託我來跟你斷情就是說AI大步伐這麼高科技的頭頂這10%
transcript.whisperx[102].start 4138.922
transcript.whisperx[102].end 4146.069
transcript.whisperx[102].text 大家賺到少少,所以我跟你們說炒肥大愛,不捨得也跟傳統生意,現在一星期做三、四天很多甚至有的名人沒辦法出賣這樣就影響到勞工的失業所以這些人,我現在跟你們說想直接針對他們,一群人裡面有一群是出靠美國的
transcript.whisperx[103].start 4165.266
transcript.whisperx[103].end 4170.009
transcript.whisperx[103].text 他們幾年讓他缺20% 你知道現在美國開始在退水了就是我們同期是把我們靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜靜�
transcript.whisperx[104].start 4195.08
transcript.whisperx[104].end 4209.404
transcript.whisperx[104].text 那是建高雄的名義去叫的要聽到沒有所以他們真困難那麼未來剩回到我們賺盤的15%尤其你經濟生長稅率超出大家當然請剛才加到幾幾天嘛都是你的錢嘛那麼他們是期待說未來在這個出口稅裡面
transcript.whisperx[105].start 4221.044
transcript.whisperx[105].end 4224.833
transcript.whisperx[105].text 政府是不是會幫他補貼5至8%就是說這個針對出口秘告給他藉口15%的補貼你有辦法幫他嗎
transcript.whisperx[106].start 4231.523
transcript.whisperx[106].end 4243.285
transcript.whisperx[106].text 委員報告,我們現在剛才提出這個領口對策的新政表以後,我們有一個中小微企業轉型升級條例的條例中小微轉型升級條例的草案現在正在擬這個規定裡面,就是要針對剛才委員所說的,大多數這個一千萬的領口,中共一千萬的那些職業領口這個一百七十萬間的中小微企業,讓他們做實績的步驟
transcript.whisperx[107].start 4259.648
transcript.whisperx[107].end 4272.178
transcript.whisperx[107].text 沒有啦 你在說的是通案嘛 全世界有給我們撬稅金的撬稅就是大美國嘛美國就是說這段有做美國出口的這三頁價 它沒台沒市 它要給負擔之前那一波是給負擔 譬如說20 它本來4.4就變24.4嘛
transcript.whisperx[108].start 4282.21
transcript.whisperx[108].end 4290.477
transcript.whisperx[108].text 現在我們去講到15% 未來這個15% 未來這個15%我們有多少本的負擔 現在針對出口米國家 他們是最困難的 你知道其他歐洲 日本 東南亞 他們是最嚴重的
transcript.whisperx[109].start 4298.126
transcript.whisperx[109].end 4311.135
transcript.whisperx[109].text 所以這塊你有辦法去今天跟他們說你要怎麼幫他們我們在中小委轉型升級條例裡面就是要針對各種的手法都要做到包括租稅但是我們一定要符合國際經濟貿易的規範我們不可以去對我們
transcript.whisperx[110].start 4315.538
transcript.whisperx[110].end 4329.084
transcript.whisperx[110].text 你不是補助嘛 你有很多教授我跟你說的是對世界所有人去處理政府會專烈支持中小企業但是要用什麼方式一定要符合國際規範這樣我們在法律裡面我們要做的這個草案裡面大家最小規範說如何幫助大家我跟你說 你的零到十八歲
transcript.whisperx[111].start 4345.018
transcript.whisperx[111].end 4359.186
transcript.whisperx[111].text 各位國情國 雖然我本無離合 但是我有配套 你們沒有配套我們有配套啊 你有配套安心生養 夠加碼教育 夠強化托育 夠友善職場 夠自主健養因為我講給你聽 好的政績 大家公家營也沒關係是是 難道你們的好選人說什麼 食糧界都亂講 結果給總統和選區配對不對 不需要嘛
transcript.whisperx[112].start 4370.373
transcript.whisperx[112].end 4378.937
transcript.whisperx[112].text 你的政策跟我不一樣,我可以跟你說對英台都不會說,我們不會這樣嘛政策不一樣就是大家互相研究嘛,對不對我是說這樣,我讀了一個月五千口語,就是父母少辛苦
transcript.whisperx[113].start 4392.188
transcript.whisperx[113].end 4418.953
transcript.whisperx[113].text 成長會更幸福嘛但是這是怎樣 低標不低標 因為年輕人不敢生有兩個原因第一 我怕死不去第二就是怎樣 我要買房子嘛我如果沒買房子 房地產一直去所以那時候的心情我們大家說我種車 好家財都在那裡 我如果沒種車 再五年我就買不去我現在一個配套是怎樣你說社會住宅裡面 婚育宅要有20%
transcript.whisperx[114].start 4420.563
transcript.whisperx[114].end 4434.43
transcript.whisperx[114].text 我在第三次我是提高到40%啦我們坦白說,他要針對生育率,要娶男朋友,我們拉起來我是對20%跟承擔到40%,再來就是你如果是生第三胎啦,你有沒有,你生幾個?抱歉,一顆而已這樣,我兩顆啦,我說我跟他說,你如果是生第三胎
transcript.whisperx[115].start 4447.81
transcript.whisperx[115].end 4473.546
transcript.whisperx[115].text 我的社會住宅優先入住因為我們有40% 我把婚姻宅優先40%社會住宅優先入住然後將來你買的時候就是我們的社會住宅買你的時候租金抵價金這就是經濟部內冬季時冬季時在台南安南區科技工業區
transcript.whisperx[116].start 4475.84
transcript.whisperx[116].end 4497.369
transcript.whisperx[116].text 有一個租金底價,我們現在先注意我們政府是不以盈利為目的,我們去社會主席本錢八百萬我們就賣他八百萬,這樣政府就OK但是一般的健康便宜八百萬的房子,要賣他錢一萬他有盈利的問題,這樣他就不用煩惱他生三個,他就不用煩惱他房子賣不去
transcript.whisperx[117].start 4502.483
transcript.whisperx[117].end 4509.408
transcript.whisperx[117].text 八天後 九天後 政府把這間房子賣掉這樣就是說 以這八天所繳的租金比我們要買它的基金票八百 它繳七十萬我們就把它扣起來 變成這間房子只賣七百三十萬我告訴你
transcript.whisperx[118].start 4521.798
transcript.whisperx[118].end 4529.926
transcript.whisperx[118].text 很多年輕人都說,你為什麼這樣,我來拚第三個生兩個說他要拚第三個,生一個說他要拚第三個藏一個主持人,五十幾位跟我說,他還要拚一個我說拜託,你來拚一個,我輸人又貼你兩萬
transcript.whisperx[119].start 4539.314
transcript.whisperx[119].end 4566.499
transcript.whisperx[119].text 這就是怎樣 已經讓大家覺得如果這種政策 公共政策這個特定高齡人來選擇因為我把我真實在這個基站在照顧著我告訴你 你可以請你的無聊 無非去訴求說 社會主席裡面我們是不是可以把一些出來讓這些人加薪第三天的人 給他們特別的高齡優先進去大 連累這家廚美藝
transcript.whisperx[120].start 4569.06
transcript.whisperx[120].end 4591.199
transcript.whisperx[120].text 因為你社會主席有的是沒要買,只有做沒要買有的,我們可以一部分開放來給他們擁有自己的主席,你看如何優先入住,只租不售還有延長租期和延長,這都是現在的進展我們也要注意到這個社會主宰的輪盤你要注意這個社會主席賣他就說他要收我們的限制我們可以計算,只有那個
transcript.whisperx[121].start 4610.207
transcript.whisperx[121].end 4615.73
transcript.whisperx[121].text 好 謝謝好 謝謝謝龍介委員質詢 謝謝卓院長備詢 謝謝
transcript.whisperx[122].start 4624.482
transcript.whisperx[122].end 4625.563
transcript.whisperx[122].text 現在院長,是不是我們請卓院長麻煩再請卓院長備詢
transcript.whisperx[123].start 4662.383
transcript.whisperx[123].end 4688.257
transcript.whisperx[123].text 林委員好院長早我今天要跟你討論就是說我們這個從醫美診所爆發的偷拍事件這個事件現在已經擴大到不是只有醫美診所甚至是還有一般的中醫診所一般診所這樣子也都包含在內所以這個不是單一的業別也不是單一的診所的問題而是整個醫療管理
transcript.whisperx[124].start 4690.198
transcript.whisperx[124].end 4706.786
transcript.whisperx[124].text 醫療制度的管理上可能在制度上已經有一個缺口存在那我們衛福部在這一波的稽查裡面好像稽查了720家的醫美診所那就已經查到三四十家涉及到偷拍
transcript.whisperx[125].start 4707.546
transcript.whisperx[125].end 4733.883
transcript.whisperx[125].text 所以這個是一個非常嚴重的個案那非常大的一個警訊在告訴我們說這一些不肖的業者啦那我們其實大家人心惶惶所以我們很想知道就是說這一種不肖的業者的名稱你都查到了除了看到的艾爾利、光澤啦那還有什麼樣的診所那請問所在地在哪裡要不要公布
transcript.whisperx[126].start 4735.211
transcript.whisperx[126].end 4760.82
transcript.whisperx[126].text 跟委員說明 我們陸陸續續都有衛生局採訪採訪之後我們最後會把採訪的結果公布給大家了解你們要多長的時間啊因為對大家來講 我很多人是繳廢制我還要不要進去啊 還是我要退費啊那你查到的都已經是違法的真空的密錄了那為什麼不用最快的速度來公告呢
transcript.whisperx[127].start 4761.656
transcript.whisperx[127].end 4784.959
transcript.whisperx[127].text 我們會要求衛生局盡快完成所有的裁罰程序裁罰以後我們是不是直接裁罰就可以公告應該是理論上他就是公開他這就是公開的裁罰到現在已經查到了35家了那理論上這35家應該全部都公告給大家知道啊可以可以那對到底是要到什麼時候才主動的告訴我們盡快我們回去就盡快是多快
transcript.whisperx[128].start 4786.937
transcript.whisperx[128].end 4809.387
transcript.whisperx[128].text 從第一個診所到現在也已經很久了所以這已經不是盡快了大概是還要多久如果他確定裁罰這個名單很準很精確那麼他已經行為被確認了我們衛福部會要求各地方政府對準這個名單之後應該要立即公告讓國人有知道的權利
transcript.whisperx[129].start 4809.827
transcript.whisperx[129].end 4833.485
transcript.whisperx[129].text 好 部長你聽到了 院長說只要罰單一開出來 立即公告可不可以可以那我現在再跟院長 部長請教違法的拍攝我們當然要查但是更大的問題是存在於說取得同意的錄影的這些影像被拍下來以後怎麼管理
transcript.whisperx[130].start 4834.665
transcript.whisperx[130].end 4862.112
transcript.whisperx[130].text 誰可以調閱會不會連上網路要存取多久流向會在哪裡會不會外流所以這個不是說經過病患同意取得錄影的問題而已在這裡我們很清楚的要跟院長分享說醫療影像的管理的最核心其實是資安是不是院長你可不可以同意
transcript.whisperx[131].start 4862.712
transcript.whisperx[131].end 4886.653
transcript.whisperx[131].text 而且我們在各自法上面也有相關的規定要保護到個人的隱私你就讓他同意讓你拍怎麼使用也要嚴格的管制對啊 所以資訊安全才是最重要的而不是只是同意拍攝嘛那韓國也曾經發生過這種外流的事件它還涉及到可以遠端即時觀看的IP Camera
transcript.whisperx[132].start 4887.293
transcript.whisperx[132].end 4904.87
transcript.whisperx[132].text 所以顯示說真正的風險不只是他有沒有安裝拍攝的鏡頭他還必須涉及到這個設備有沒有聯網能不能遠端的登錄是否有預設的密碼有沒有開放外部存取
transcript.whisperx[133].start 4905.55
transcript.whisperx[133].end 4917.188
transcript.whisperx[133].text 是不是會上傳到第三方平台是否會留下完整的調閱記錄所以我們現在就是認為說要克責醫療機關 醫療機構
transcript.whisperx[134].start 4921.315
transcript.whisperx[134].end 4936.972
transcript.whisperx[134].text 要認為有錄影這個必要的時候就應該要採取不聯網限制權限加密儲存最小授權還有完整的調閱記錄的這一些措施這個院長請問你同不同意
transcript.whisperx[135].start 4937.732
transcript.whisperx[135].end 4958.28
transcript.whisperx[135].text 當然同意 而且行政院的作為跟委員簡單報告案發之後我們就請詹根懷秘書長召開一次緊急的會議就個案要加強偵辦的速度就場域要確定哪些場域可以拍 哪些場域不可以拍就行為要加重他的罰則就設備也要分析哪一些設備應該做比較嚴密的管控
transcript.whisperx[136].start 4958.86
transcript.whisperx[136].end 4978.205
transcript.whisperx[136].text 那這個禮拜我們還會請林明星政委召開相關的後續的會議就這個細項再往更細的這個方向去做規劃剛剛委員所提到的這個流程的記錄時間多長如何使用這個都必須在強化規劃當中好現在我就是要提醒你因為在委員會我也質詢過了
transcript.whisperx[137].start 4979.565
transcript.whisperx[137].end 4997.962
transcript.whisperx[137].text 在這裡 影像 醫療的影像在台灣不是一般個資在我們的法律的架構它是特種的高度敏感的個資所以不能夠像衛福部現在做的衛福部只做一件事啊他們為醫事師召集了各個診所協會通通來全台灣診所協會通通來
transcript.whisperx[138].start 4998.843
transcript.whisperx[138].end 5021.4
transcript.whisperx[138].text 然後只去處理了對空間管理的規範醫療機構全面禁止使用密錄設備公共空間的錄影需要公告低度隱私需要同意低度隱私空間設置要主動告知手術跟內診嚴禁錄影僅教學目的以例外他就只做空間管理的這個規範
transcript.whisperx[139].start 5022.981
transcript.whisperx[139].end 5032.692
transcript.whisperx[139].text 但是我剛剛一開始就強調了這整個醫療影像的最核心其實是他的資訊安全是他的管理而且我們要克責於診所醫療機構的經營者要有責任
transcript.whisperx[140].start 5037.918
transcript.whisperx[140].end 5058.193
transcript.whisperx[140].text 所以政府不能夠把問題理解成說只是同意然後要求空間規範管理哪些可以拍哪些不能拍不能夠只是這樣子而必須要建立一套完整的錄音錄影管理規範包括錄影必要性的審查近拍區的區域清單設備聯網的管理
transcript.whisperx[141].start 5061.936
transcript.whisperx[141].end 5090.835
transcript.whisperx[141].text 調閱的權限保存的期限刪除的機制外包維護的責任以及外流後的通報和下架程序而且我們要進一步的要把它法制化明確的納入法律裡面的規範而不是只是一個醫療上的行政指引而衛福部到現在都沒有做這些相關的事情而且都沒有承諾我們它要法制化
transcript.whisperx[142].start 5091.215
transcript.whisperx[142].end 5114.763
transcript.whisperx[142].text 因為苛責於醫療機構你要求人家有義務你必須採取法律保留原則必須以法律定制而衛福部之前面對我的諮詢通通都還沒有辦法具體承諾院長你可不可以承諾我們這個必須要法制化規範必須採取法律保留原則
transcript.whisperx[143].start 5115.643
transcript.whisperx[143].end 5135.244
transcript.whisperx[143].text 而且不是只有空間管理上哪些可以攝影哪些不能攝影最核心的地方其實就是資訊安全就是資安可不可以承諾一下好 謝謝委員提醒因為這個是一個跨部會很多的作業衛福部是依照它的業管範圍就資通安全上資訊的保護場域的保護協定那我們另外還有經濟部財政部
transcript.whisperx[144].start 5138.727
transcript.whisperx[144].end 5144.376
transcript.whisperx[144].text 就這個設備進口如何管制還有工廠會 還有內政部都有做月管的議案
transcript.whisperx[145].start 5150.544
transcript.whisperx[145].end 5168.778
transcript.whisperx[145].text 跟委員說明確實剛剛您提到的我們是先做這個所謂的設路的空間管理的規範按照它是低度低隱私高隱私還有公共空間那另外一個是根據自動安全法的授權各目的事業主管機關可以要求
transcript.whisperx[146].start 5169.438
transcript.whisperx[146].end 5188.625
transcript.whisperx[146].text 那麼我們過去只要求到醫院等級他要有一個資通安全的管理計畫要被 要核准的啦所以這裡面就包含剛剛提到的這些資料的保存 銷毀的機制等等沒有啦 你醫療法裡面壓納入對 要對醫療機構特別是診所要克責啦法律責任要克責要放到醫療法裡面來不要用一般的
transcript.whisperx[147].start 5198.189
transcript.whisperx[147].end 5220.488
transcript.whisperx[147].text 各司法去處理他醫療法一定要特別法一定要特別克責啊醫院部當然說醫院要適用醫療法這個是他的場地的管理對好抱歉各位時間可以暫停一下嗎因為我的鞋子卡住了時間暫停奇怪慢慢來抱歉因為他卡在那個縫裡面沒問題沒問題好謝謝可以繼續了好時間繼續
transcript.whisperx[148].start 5224.448
transcript.whisperx[148].end 5245.112
transcript.whisperx[148].text 好 院長那我現在就叫你這個關於勞動部門的事情因為在台北發生了密室逃脫的這個員工在扮演吊掛的時候這個不幸意外死亡那其實這個不幸其實是可以避免的而且也應該是要避免的
transcript.whisperx[149].start 5246.812
transcript.whisperx[149].end 5271.659
transcript.whisperx[149].text 現場發現沒有採取任何的預防措施然後沒有辦理職業安全的教育訓練沒有業者沒有做任何的風險評估的問題雖然已經勒令停業但是我們要在這裡講這是一種新興的娛樂產業雖然看起來是娛樂服務業但是我們在乎公安消防的安全
transcript.whisperx[150].start 5272.599
transcript.whisperx[150].end 5282.389
transcript.whisperx[150].text 這些消費者的安全之外我們還要看到在這裡面從業的人員的職業安全所以這種新興的娛樂產業它是一種情緒勞動在這個密室逃脫裡面
transcript.whisperx[151].start 5289.935
transcript.whisperx[151].end 5317.524
transcript.whisperx[151].text 它不是像一般的遊樂園、電影院勞工只是接待、售票、現場引導它不是像密室逃脫它很明顯它是一個沉浸式的遊戲工作的內容可能包括吊掛、追逐在低照明的狀況裡面移動在小小的空間裡面執勤、角色扮演而你通通沒有植栽預防的任何的準備
transcript.whisperx[152].start 5318.444
transcript.whisperx[152].end 5344.218
transcript.whisperx[152].text 沒有風險評估所以這個問題就不是這一個職災的勞工的個人的問題他是整個制度對這類工作風險的辨識跟管理都沒有跟得上時代所以這個風險在國外也有當然大家看到很多都是像火災大家要密室逃脫他可能會噴煙在波蘭就曾經發生說他沒有
transcript.whisperx[153].start 5345.318
transcript.whisperx[153].end 5374.251
transcript.whisperx[153].text 做到這個火災的預防消防的這個安全曾經啊在波蘭一個密室逃脫裡面有5個5個15歲的少女死亡而當時他們被鎖起來而那個職工呢他出去外面買個東西回來發現大火熊熊都根本來不及救這是一個公安安全以外這個很重要這個很重要但我們今天要講的是說不只是公共安全很重要
transcript.whisperx[154].start 5375.332
transcript.whisperx[154].end 5388.367
transcript.whisperx[154].text 大家就開始覺得說這一種這個具有封閉空間低照度迷宮式的動線還有機關設計還有延遲逃生它就不是一般的娛樂場所有時候還有
transcript.whisperx[155].start 5389.548
transcript.whisperx[155].end 5410.455
transcript.whisperx[155].text 做這個效果有這個噴煙其實你很難分辨是真正的消防安全火災了還是只是特效的噴煙一開始所以這是一個非常嚴重而且嚴肅的問題在這裡呢遊客的體驗的安全以外我一直講說現場工作人員的生命安全
transcript.whisperx[156].start 5411.555
transcript.whisperx[156].end 5438.277
transcript.whisperx[156].text 所以重點我們看到消防和公安但是我們要看到勞安在這個裡面我們希望說除了火災發生的時候是不是能夠逃生我們更在意的是如果在黑暗封閉機關密集情緒高漲還要扮演角色嚇人的這種工作環境裡面要怎麼樣去做勞動規範要怎麼克責雇主你要職業
transcript.whisperx[157].start 5440.998
transcript.whisperx[157].end 5458.762
transcript.whisperx[157].text 這個職業災害的預防的責任那這個在很多地方都有這種討論在勞動部的勞保局2016年有一個很有趣的徵文他說最有梗的打工的事你最有梗寫下來我們來徵文徵選
transcript.whisperx[158].start 5461.683
transcript.whisperx[158].end 5485.033
transcript.whisperx[158].text 結果呢一個這個得獎的作品叫半鬼嚇人可是遊客比鬼更恐怖這一篇得獎了這個學生寫到說他暑假的時候去賺外快打工報名了鬼屋的工作人員但是遇到穿高跟鞋來體驗的女生女生嚇到拿高跟鞋狂砸他的臉
transcript.whisperx[159].start 5486.813
transcript.whisperx[159].end 5501.198
transcript.whisperx[159].text 讓他直覺說客人比鬼更恐怖其實大家聽了以後都會覺得蠻好笑的老實說其實這個好笑當中我們是看到這個真的是對這個從業的勞工完全沒有保障
transcript.whisperx[160].start 5501.698
transcript.whisperx[160].end 5517.125
transcript.whisperx[160].text 所以把顧客的暴力跟情緒勞動的可能遇到的風險都要納入職業安全裡面去規範那我們現在就看到出事了大家去勞檢可是我們更想要看到的是應該要法制化制度化
transcript.whisperx[161].start 5518.165
transcript.whisperx[161].end 5546.641
transcript.whisperx[161].text 我們要問說需不需要檢查繩索有沒有固定檢查吊掛橋段有沒有做風險評估員工在低照明度的空間移動追逐扮演有沒有需要兩個人協同機制有沒有緊急停止緊急解除和脫困的程序有沒有做這個職安教育訓練和實作研練有沒有建立譬如說需經事故的通報和改善機制
transcript.whisperx[162].start 5547.321
transcript.whisperx[162].end 5560.852
transcript.whisperx[162].text 在這種顧客高度緊張受驚嚇或情緒失控的下會被攻擊的狀況裡面你要怎麼樣去做勞檢怎麼規範中央應該要訂出一套勞檢的重點規範的制度出來吧
transcript.whisperx[163].start 5563.499
transcript.whisperx[163].end 5576.996
transcript.whisperx[163].text 跟委員說明其實現在這個治安法裡面其實是有相關的條文來做包括他機械設備器具等等等所造成的危害
transcript.whisperx[164].start 5581.523
transcript.whisperx[164].end 5604.15
transcript.whisperx[164].text 機械設備他今天要死的那個人是什麼機具他哪裡有機械設備機具所以我跟你講我們都是在法治面相當不足因為整個服務整個產業這種勤勞勞動的產業不斷的會新興的越來越多
transcript.whisperx[165].start 5608.756
transcript.whisperx[165].end 5629.825
transcript.whisperx[165].text 所以隨時我們這個小孩子在玩的我們根本無從想像他的從業環境會是什麼所以你們隨時都應該要去檢討這個新興的產業裡面我們該給出來的職業安全的指引要求部主要做到怎樣去把應該是更具體的而不是僅就現有的法律
transcript.whisperx[166].start 5630.865
transcript.whisperx[166].end 5657.7
transcript.whisperx[166].text 老實說啦現有的法律工具你去挑一挑很難挑得到符合真的可以對他完整規範的條文出來而你們該有的指引該有的制度其實是刻不容緩應該要立即馬上建立對事實上這一個無辜的性命犧牲之後我們要看到
transcript.whisperx[167].start 5660.713
transcript.whisperx[167].end 5668.178
transcript.whisperx[167].text 好 謝謝林淑芬委員質詢 謝謝卓院長 相關部會收場備詢 謝謝接下來我們請林月琴委員質詢 廖偉強委員請準備謝謝
transcript.whisperx[168].start 5687.74
transcript.whisperx[168].end 5693.468
transcript.whisperx[168].text 主席麻煩我們的卓院長跟我們的衛福部部長麻煩再請卓院長衛福部長備詢林委員好
transcript.whisperx[169].start 5706.397
transcript.whisperx[169].end 5730.824
transcript.whisperx[169].text 院長還要部長找院長少子女化事實上是國家戰略問題那我覺得政府提高到0到18歲對孩子跟家庭的支持提出了18項的一個具體的措施尤其事實上是0到18歲的成長今天受到社會大眾高度的肯定可是我覺得不只是事實上是補助家庭
transcript.whisperx[170].start 5731.304
transcript.whisperx[170].end 5757.501
transcript.whisperx[170].text 更是國家對於孩子成長的一個支持承諾而我這幾天當然又收到很多的家庭對我們表示說這麼好的為什麼還要去透過很多修法程序來去做這些他們很迫不其待真正事實上能夠想用到這一項政策所以我想問院長說不必修法是不是就可以先用預算或行政措施來推動來讓這個支持更有彈性的方式讓家庭趕快受用
transcript.whisperx[171].start 5758.536
transcript.whisperx[171].end 5773.47
transcript.whisperx[171].text 是的我們針對整個少子女化的問題以及整個整體的人口對策我們從大概大半年前就在研立一個如何來看到去年整個出生率下降的一個結果所以這個這套
transcript.whisperx[172].start 5775.427
transcript.whisperx[172].end 5804.499
transcript.whisperx[172].text 整個台灣人口對策新戰略研歷是超過半年以上的時間那現在我們已經稍微有一些具體的成果向國人做報告這一兩天當中我們還會持續就一些執行面的問題讓各部會更充分的去做銜接那就是說我們過去啊比方在育兒津貼還有種種各方面的行政措施上面我們都有相關的類似的一個處理的方式我們可以用提出一個我們的策略方針
transcript.whisperx[173].start 5805.459
transcript.whisperx[173].end 5828.991
transcript.whisperx[173].text 形成一個公共政策透過預算審議的過程讓它形成一個有預算可以支持的一個政策那我們就可以來支應那後續也許有一些配套需要去做一些法的修正那一部分再來做我們想目前是朝向這個方式來進行我覺得世衛大眾都已經給予高度肯定我認為行政院應該儘速提出明確的施程跟執行方案不是要等去修法
transcript.whisperx[174].start 5829.691
transcript.whisperx[174].end 5854.02
transcript.whisperx[174].text 所以這一項如果事實上是對兒少未來的承諾的話我覺得不是只有政策宣示要趕快去做所以我希望盡快那另外一個跟這個有關係的也就是說今天我還是很關心弱勢因為我們畢竟事實上有一個兒童及少年未來教育跟發展的帳戶那未來這一部分剛剛提的這一塊大家都很肯認可是弱勢的這一塊是不是可以有更加碼的做法
transcript.whisperx[175].start 5854.622
transcript.whisperx[175].end 5865.019
transcript.whisperx[175].text 來 部長說明一下跟委員說明 當然目前我們在這個所謂的這個教育及未來發展帳戶的部分呢
transcript.whisperx[176].start 5865.489
transcript.whisperx[176].end 5884.796
transcript.whisperx[176].text 那麼是有這個對撥就是它自存有一個開戶金政府會有開戶金另外它有一對一的這個對撥部長你應該也知道幾乎很多家庭事實上大概三到四成事實上最後是沒有開戶的即便那個六成開戶的只有七成有存款
transcript.whisperx[177].start 5885.276
transcript.whisperx[177].end 5907.091
transcript.whisperx[177].text 可是也不見得會存到18歲因為他們就是有經濟困難所以我認為如果今天政府大波大力在處理我們0到18歲有一般家庭的可是弱勢畢竟是弱勢我認為這個要拜託院長可以承諾說可不可以去再做研議跟委員說明那因為未來有這個五千元的成長津貼的時候他就可以拿一部分
transcript.whisperx[178].start 5907.711
transcript.whisperx[178].end 5928.429
transcript.whisperx[178].text 放入這個未來帳戶這些弱勢那政府就會再對撥進去所以未來這個開戶率也好或者是提撥率一定會提高那第二個呢這一些津貼呢都會排除在我們在社救法裡面的其他收入的部分所以也不會影響到它的這個社福條件這個都會把它保障
transcript.whisperx[179].start 5928.809
transcript.whisperx[179].end 5941.145
transcript.whisperx[179].text 那剛部長就已經提到社救法我們就來談一下因為這個月事實上院長也出席了我們第四度的國際審查兩公約的第四度國際審查
transcript.whisperx[180].start 5942.199
transcript.whisperx[180].end 5969.045
transcript.whisperx[180].text 那這次的結論性意見國際委員就再一次明確表示說我們的社會救助法必須修而且不是小修小補而過去我們社會救助法門檻非常高申請的程序事實上過於複雜所以不知道院長你對國際委員的建議你準備如何回應他希望要修那什麼時候這個社會救助法的時程是什麼行政院的版本預計什麼時候送出來還是目前考量的關鍵因素在哪裡
transcript.whisperx[181].start 5970.242
transcript.whisperx[181].end 5988.511
transcript.whisperx[181].text 是我是還沒有看到整個具體的全貌但是剛剛部長之前跟陳時中政委我們都有接受到這些國際委員提供的意見比方說他對我們申請的流程比如說該個人的一些條件限制是不是要跟居住
transcript.whisperx[182].start 5989.751
transcript.whisperx[182].end 6018.44
transcript.whisperx[182].text 一致這個部分我們都有談到這個重點那希望衛福部跟政委能夠持續將國際委員的意見適合我們在此時我們社會情勢需要的部分我們一一來做檢討院長有沒有一些時程讓我們知道跟委員說明目前這個草案已經在行政院審查當中已經完成三分之二了所以應該會在這個會期這個會期可以送出來嗎可以應該是這個會期我今天要的就是這個答案
transcript.whisperx[183].start 6020.218
transcript.whisperx[183].end 6040.063
transcript.whisperx[183].text 這幾年國內的情勢變化很多端 戰爭衝擊到經濟 人際疏離居住環境 甚至科技帶來人際疏離所以社工面對到的 不管是兒少老富障 貧窮暴力災害都要由社工來承擔
transcript.whisperx[184].start 6043.263
transcript.whisperx[184].end 6059.723
transcript.whisperx[184].text 社工我一直認為事實上是穩定社會的重要力量包含從總統到副總統到院長您本人都強調社工事實上是建構社會安全網的人也是全社會防衛任性安全體系的重要的人
transcript.whisperx[185].start 6060.627
transcript.whisperx[185].end 6083.16
transcript.whisperx[185].text 可是我們要問的是 也就是社工的工作內容有特殊性他們常常在處理的事實上是社會各式各樣的複雜的問題面對到暴力 自殺 甚至經濟困頓 失業者失去依靠 性侵可是他們也需要被支撐 可是看起來這十幾年來各項的調查都知道說社工長期承受了各方的壓力
transcript.whisperx[186].start 6084.1
transcript.whisperx[186].end 6110.318
transcript.whisperx[186].text 劳动的结构跟情绪劳动的一个负荷今年初事实上工会职业工会也调查说超过四分之一的社工半年内因为工作因素接受心理智商跟身心科的就诊因为四分之三处于过劳近一半出现忧郁的状况所以院长社工既然是我们很重要国家重要的伙伴可是这十几年来都只是靠个别的调查去了解他的状态
transcript.whisperx[187].start 6110.953
transcript.whisperx[187].end 6138.344
transcript.whisperx[187].text 院長你怎麼看你有掌握到這樣子的一個狀況嗎你覺得這樣子的一個個別調查甚至是公會來做的你覺得這樣子足夠嗎到底我們政府有哪些東西事實上對於社工的掌握程度事實上是弱的社工夥伴通常對他的這個照顧的個案對象會付很大的愛心但是他也經常把自己放在一個可能有危險威脅的狀態當中所以
transcript.whisperx[188].start 6140.945
transcript.whisperx[188].end 6167.766
transcript.whisperx[188].text 我們對他關心除了讓他有更專業的智能以及更相對的待遇跟福利來照顧他本身之外他如果遇到有些重大的危險的時候我們應該給他一些心理上的支持甚至他需要的時候在治療醫療上也應該有經濟上的協助另外萬一進入到一個真的需要訴訟的時候我們也要有法律的諮詢法律的協助這是我們現在想到的一些相關的作為
transcript.whisperx[189].start 6169.025
transcript.whisperx[189].end 6184.411
transcript.whisperx[189].text 院長 事實上在政策支持上行政院對社工職業安全到現在還是停留在10年來未修的社工人員的一個職業安全方案另外還有社工人員的職業安全重大危害事件處理機
transcript.whisperx[190].start 6185.371
transcript.whisperx[190].end 6198.491
transcript.whisperx[190].text 策進的一個實施計畫重點是這個這兩個都是把它放在事後的一個處理跟通報跟輔導改善可是我們更需要的是前端的一個機制所以我不知道院長這邊有
transcript.whisperx[191].start 6200.12
transcript.whisperx[191].end 6215.334
transcript.whisperx[191].text 能承諾因為之前103年行政院就已經有討論過社會工作人員的職業安全條例有沒有辦法重新拿出來研議然後去修這個法
transcript.whisperx[192].start 6216.075
transcript.whisperx[192].end 6235.65
transcript.whisperx[192].text 就請部長說明一下現在具體的一些計畫跟委員說明在我們社安網裡頭我們新的一期社安網裡面也特別去強化這個職業安全的專案支持那過去就是如委員講的我們過去就是有一個叫職業安全計畫對於社工人員特別裡面包含團保的部分
transcript.whisperx[193].start 6236.491
transcript.whisperx[193].end 6262.17
transcript.whisperx[193].text 那麼現在也還包含了一些心理諮商的支持減壓的這個做法那我們再來檢視一下這一個職業安全計畫與時俱進我們再來做一些滾動式的按照需求來做一些調整我們看國外甚至就是有些家訪有必要的時候會有訓練有素的人或者是員警去陪同因為我們現在常面對到的有可能是人身安全的一些問題所以才會
transcript.whisperx[194].start 6264.235
transcript.whisperx[194].end 6280.604
transcript.whisperx[194].text 迫使他最後離開是什麼因為身心的一些因素我覺得政府應該要考量所以我也希望說這邊事實上可以考慮再度的把這個法提出來討論然後去修這個法另外一個就是我們政府
transcript.whisperx[195].start 6281.516
transcript.whisperx[195].end 6308.424
transcript.whisperx[195].text 服務的社服服務的採購長期存在事實上是費用編列不清契約的設計的矛盾跟履約管理不合理的這樣子的一個問題那為服務呢長期沒有建立所謂符合社服專業的一個採購跟經費編列之意這也是過去我自己在社服機構常會面對到的一個很深的一個困擾那所以院長政府把法定服務去委託民間辦理後
transcript.whisperx[196].start 6309.676
transcript.whisperx[196].end 6336.605
transcript.whisperx[196].text 結果把加班費人事成本跟督導支持跟偏鄉招募的成本都加重在機構的身上常常有時候如果要加班結果最後事實上是會認為你機構你自己管理不當你為什麼有要加班可是今天個案晚上發生事情的時候要不要處理要處理甚至上非上班時間要不要去處理當然要處理所以院長這樣子的加班費難道要壓在機構跟第一線的社工的身上嗎
transcript.whisperx[197].start 6338.785
transcript.whisperx[197].end 6357.245
transcript.whisperx[197].text 跟委員說明剛剛提到這個社福的採購的指引我們現在草案差不多完成了什麼時候可以完成盡快我們看看是不是在六月底之前可以把它發布因為還要跟地方主管機關大家一起協商我們真的等很久了
transcript.whisperx[198].start 6357.785
transcript.whisperx[198].end 6383.262
transcript.whisperx[198].text 我們應該在六月底之前我會來push趕快讓這個採購指引讓大家可以有一致性的認定因為這已經是超過十年的問題了所以我們希望能夠盡速也謝謝今天能得到這樣的一個答案院長今天也要請教社工勞動權益跟職業安全衛生的問題這件事事實上我在去年就要求衛福部勞動部合作
transcript.whisperx[199].start 6384.147
transcript.whisperx[199].end 6413.047
transcript.whisperx[199].text 那不是用我們的勞檢的強度而是用法尊訪視跟職安衛的監督輔導來協助社服機構改善所以可是現在不是沒有訪視那也不是勞動部沒有量能所以我今天為什麼沒有請我們的勞動部部長上來就是因為我覺得關鍵是衛福部不能只有提供機構的名單社工面對到兒少保護家暴長照身障的高壓的高風險的工作那衛福部作為主管機關是不是應該要去設計
transcript.whisperx[200].start 6413.988
transcript.whisperx[200].end 6440.875
transcript.whisperx[200].text 我們的所謂的社工專屬的法尊訪視的項目這勞動部做不了所以就要衛福部來做部長你是否認同好我們來跟勞動部當然這個法規的主管機關是勞動部不過涉及到專業領域剛剛您提到的這個社工工作的特殊性所以他的訪查的重點的一些建議呢那我們來提供給勞動部
transcript.whisperx[201].start 6441.991
transcript.whisperx[201].end 6454.395
transcript.whisperx[201].text 那院長我也希望你能支持三件事情第一又衛福部主責然後勞動部來協同啟動我們的勞工就社工勞全的法尊法師及職安衛的監督輔導的專案
transcript.whisperx[202].start 6456.721
transcript.whisperx[202].end 6476.156
transcript.whisperx[202].text 第二事實上是邀集各地社工師工會跟職業工會來共同研擬因為他們最知道第一線到底需求是什麼問題是什麼並規劃他們來陪同訪視第三把身心健康我們的職場霸凌跟人身安全跟創傷曝露跟社福契約管理納入輔導內容院長可否支持這三項
transcript.whisperx[203].start 6477.677
transcript.whisperx[203].end 6492.036
transcript.whisperx[203].text 謝謝委員很具體的提出三點那我會請衛福部勞動部就這些訪視的過程當中所得到的這些數據跟分析的結果能夠進行各種的進一步的綜合的一個評估考量
transcript.whisperx[204].start 6492.617
transcript.whisperx[204].end 6519.013
transcript.whisperx[204].text 那我也知道中央跟地方政府也經常有相關的會議在開各種會議推動地方政府成立社工人員工會的這個研議希望還沒有成立的也能夠加速來成立一個工會來保障整個社工夥伴的工作權跟本身的權益謝謝院長對我們社工的支持那院長成熟國家的政策應對通常不是社工壓力大我們就提供資商而已
transcript.whisperx[205].start 6519.292
transcript.whisperx[205].end 6548.23
transcript.whisperx[205].text 他需要更完整的制度所以我覺得是不是可以針對公部門跟民間受助單位跟委辦單位的社工一方面能夠結合我們剛才講的法尊法師跟職安衛的輔導另外一方面是不是由衛福建立社工專屬的年度或雙年度的調查去了解他們的身心狀況甚至勞動權益跟自治體系我也要問院長能不能在你主持的社委會定期去
transcript.whisperx[206].start 6548.91
transcript.whisperx[206].end 6562.843
transcript.whisperx[206].text 納管這樣子的一個議題好謝謝委員的提醒有這樣的調查我們才能確實掌握他的資訊做各種精密的分析那衛福部應該會可以往這個方向來進行部長來做什麼我們來委託專業團體來做這個調查院長4月22號將近2000名社工走上街頭
transcript.whisperx[207].start 6570.322
transcript.whisperx[207].end 6594.643
transcript.whisperx[207].text 然後這不只是衛福部的問題也是國家社會安全網的重大議題啦個案責任留給司法判斷可是司法之外政府還是要去面對制度的問題院長我相信你非常願意跟社工夥伴一起來站在一起檢視制度來看那所以我希望說院長是不是能夠比照護理人員的政策那個整備提出行政院級的社工人力的整備計畫
transcript.whisperx[208].start 6596.658
transcript.whisperx[208].end 6597.339
transcript.whisperx[208].text 社工人力準備計畫好 謝謝
transcript.whisperx[209].start 6624.278
transcript.whisperx[209].end 6649.791
transcript.whisperx[209].text 好 謝謝林業勤委員質詢 謝謝卓院長 衛福部部長貝勳 謝謝抱歉 現在一場二樓旁聽的來自我們新北康橋國際學校的同學還有老師 我們掌聲歡迎大家接下來委員質詢完畢之後我們將會休息十分鐘十分鐘之後再請武力華委員準備質詢接下來我們請亮偉鄉委員請質詢
transcript.whisperx[210].start 6665.314
transcript.whisperx[210].end 6688.67
transcript.whisperx[210].text 謝謝主席有請卓院長麻煩再請卓院長備詢廖文豪卓院長你好想要先請教你一個數字你知道全台灣有多少人買了商業健康險嗎
transcript.whisperx[211].start 6691.068
transcript.whisperx[211].end 6713.359
transcript.whisperx[211].text 數字我手上沒有這個數字我們可以再查查跟委員報告好大概是超過1600萬超過7成商業健康保險再問你一個是非題健保的在宅急症照護是衛福部推的那現在也有許多的大醫院規劃把原本要住院的手術改成一日手術
transcript.whisperx[212].start 6714.139
transcript.whisperx[212].end 6736.612
transcript.whisperx[212].text 那我想要請教一下院長,是不是整個醫療科技在進步,越來越多原本要住院的病呢,現在不用住院就能治了,是不是?這個要看醫組,這個要看醫組,以及我們醫學的進步,跟醫生的照顧,跟醫院的整個需求部長在點頭啦,是不是覺得醫療環境在改變,醫療科技在進步,所以醫治手術變多了,不用住院的變多了
transcript.whisperx[213].start 6737.492
transcript.whisperx[213].end 6762.117
transcript.whisperx[213].text 確實是這樣,因為現在的手術長相微創手術所以他的傷口...我講謝謝,因為我只是問是非題喔,所以謝謝喔所以你也同意啊,那現在問題就來了齁問題來了,衛福部一手在推所謂的在宅急症照護鼓勵病人在家治療,不要佔病床可是呢,民眾剛剛一千多、六百多萬人的手上的商業健康保險條款寫的是叫做要住院才理賠
transcript.whisperx[214].start 6762.737
transcript.whisperx[214].end 6777.913
transcript.whisperx[214].text 那這些人呢繳了一二十年的保費結果現在因為醫療型態改變政策改變不用住院了那保險公司就用你沒有住院這幾個字用技術性的拒絕那當初你在保險的時候這些人錢也都繳了當初的風險基數的狀況也都改變了
transcript.whisperx[215].start 6781.477
transcript.whisperx[215].end 6799.062
transcript.whisperx[215].text 所以我這裡要講的事情是我們不是說要保險公司違約不是不看條款立陪但是問題是現在政府改變了遊戲規則有沒有責任讓規則要跟上不要讓保護被住院這兩個字的技術性卡死可不可以
transcript.whisperx[216].start 6801.082
transcript.whisperx[216].end 6809.646
transcript.whisperx[216].text 剛剛有人說明確實可以請院長回答因為這可能需要跨部會的剛剛有一句話我以為說政府改變遊戲規則並不是政策改變了因為政策改變了嘛所以這個東西的確會改變的所以我想請問一下我剛剛說
transcript.whisperx[217].start 6817.394
transcript.whisperx[217].end 6838.248
transcript.whisperx[217].text 患者在醫院裡面的時間應該要照醫師的主託所以你知道這件事情嗎我知道 比如說我們以前到急診一定要幾個鐘頭以後才能去勤領所以也許現在根本就沒有辦法你不會去檢討這件事情是嗎因為本席要講的事情是這不是新問題儘管會前年有改過所謂的時知時復的理賠規則
transcript.whisperx[218].start 6839.489
transcript.whisperx[218].end 6859.557
transcript.whisperx[218].text 那他當初改的是正本理賠損害填補只處理拿副本卻好幾家這個重複領錢的問題住院這幾個字跟事實現實嚴重脫節碰都沒有碰那拖到前幾天有委員在裁委會問金管會說要三個月的時間盤點所以請問院長你的意思是什麼
transcript.whisperx[219].start 6860.168
transcript.whisperx[219].end 6879.743
transcript.whisperx[219].text 我知道社會一直有在討論最近討論這樣的話題整個醫療的行為改變之後過去的保險給付但內容沒有辦法成就所以金管會會去處理這個事情那委員如果認為三個月太慢我會請金管會跟業者跟業者趕快來談一下跟工會談一下再不會影響到
transcript.whisperx[220].start 6881.524
transcript.whisperx[220].end 6905.346
transcript.whisperx[220].text 這個保險人的權利底下要兼顧到這個保險給付業者各種的平衡點我們來討論我跟你說其實金管會手上也有現成的工具剛剛有提到是不必等到修法那示範條款它核定的它可以直接修這個示範條款那也可以訂出所謂一日手術或是門診手術或是在宅急診照顧的給付認定標準那也引導整個市場
transcript.whisperx[221].start 6906.147
transcript.whisperx[221].end 6925.727
transcript.whisperx[221].text 所以我也希望院長回去你剛剛說要請金管會進訴嘛那就是第一個檢討現行的只有住院才賠是不是有相關的調整機制以及他有沒有違反所謂金融消費者保護法第七條的公平合理原則好這個部分要請您回去指示金管會那金管會要推新的這個在宅
transcript.whisperx[222].start 6927.428
transcript.whisperx[222].end 6950.514
transcript.whisperx[222].text 醫療險在宅醫療險那現在全台也有1600多萬張的救保單所以這部分你們是不是也要邀請要求我們希望請院長回去說一方面在示範條款裡面明訂在宅醫療還有一日手術的對應認定對應的認定一方面也希望說可以鼓勵讓救保單也能批注讓新救保單都有路徑可不可以
transcript.whisperx[223].start 6951.515
transcript.whisperx[223].end 6973.318
transcript.whisperx[223].text 我覺得要請金管會跟公會跟保險業者也要請衛福部介入什麼樣的醫療行為跟過去可以做什麼樣的比擬那你是不是要指定一個因為過去衛福部會說是金管會管的金管會說要等衛福部這個球會踢來踢去所以院長你是行政院長所以我才問今天誰是部會的主責可不可以有辭呈給本席
transcript.whisperx[224].start 6974.038
transcript.whisperx[224].end 7002.731
transcript.whisperx[224].text 當然有跨部會的業務啦那如果雙方的意見一致沒有問題如果雙方有不同的意見至少我們還有政委跟秘書長都可以來協助協調院長那請問誰是主責的單位如果是保險那應該是金管會啊但是醫療行為是那請問可不可以給本市一個時程表因為你們這樣子要拖不知道檢討要多久啊金管會跟委員說三個月我覺得他們一個月內應該要有個具體的方向能夠出現
transcript.whisperx[225].start 7003.131
transcript.whisperx[225].end 7025.469
transcript.whisperx[225].text 好一個月內好謝謝謝謝院長具體承諾一個月內我們要來看成果醫療一直在進步我想這是好事我想部長也頻頻點頭但是我覺得不能夠讓醫療技術進步人民的保障反而是倒退政府政策跑在前面可是1600萬的保護的保障不能丟在後面那這個環境一改他就被架空了不行這樣子
transcript.whisperx[226].start 7026.229
transcript.whisperx[226].end 7046.975
transcript.whisperx[226].text 那再來我要問一下其實我們提供具體的數字可以呈現的到當他改成在家住院急症照護的時候他的費用比到醫院住院要便宜所以對保險院長來講不應該會有損失好 院長剛剛院長有說一個月你再跟各位談老實說一個大的方向出現可能要做其他的修動我們再來處理我們要進入下一題了謝謝院長
transcript.whisperx[227].start 7049.716
transcript.whisperx[227].end 7071.342
transcript.whisperx[227].text 院長我想要請問一下針對這個少子化今年一月份的時候在野黨提所謂的台灣未來帳戶要照顧0到12歲的孩子一路到18歲當時衛福部反對院會當時部長說親口說會排擠健保長照那衛福部的書面評估也說要舉債近3000億財政雪上加霜
transcript.whisperx[228].start 7072.262
transcript.whisperx[228].end 7089.227
transcript.whisperx[228].text 然後當時也有民進黨的委員直接反對然後就說是錢坑法案破壞財政紀律甚至有委員說這叫透支國家未來甚至有委員說恐怕沒有排富恐怕是成了窮人家的麵包變成富二代的金幣的反向補貼所以
transcript.whisperx[229].start 7091.287
transcript.whisperx[229].end 7106.921
transcript.whisperx[229].text 這些事情發生了之後可是呢結果520的時候賴總統自己端出每年好幾千億0到18歲每個月5000元還說台灣有能力負擔不會排擠其他預算所以這部分我就想要請教同樣
transcript.whisperx[230].start 7108.334
transcript.whisperx[230].end 7131.336
transcript.whisperx[230].text 是照顧孩子的大錢在野黨提的時候叫做沒錢破壞財政紀律叫做排擠長照健保那總統提的時候就說有能力負擔所以本席要問院長究竟財政有沒有問題能不能負擔還是這從來不是錢的問題是看誰提的問題只要在野黨提就是NO就是不行只要總統提你們就趕快調整方向
transcript.whisperx[231].start 7132.177
transcript.whisperx[231].end 7141.132
transcript.whisperx[231].text 那請問錢到底夠不夠三人問題跟委員報告去年我們看到台灣的出生率是明顯的下降所以去年底下開始我們就開始研立台灣人口新的對策
transcript.whisperx[232].start 7141.789
transcript.whisperx[232].end 7146.99
transcript.whisperx[232].text 第二個,國家的財政是在轉好的過程當中所以我們認為現在有能力來支應第三個問題是如果把一大筆錢只放在一個項目那並不能解決問題你放再多的錢
transcript.whisperx[233].start 7164.215
transcript.whisperx[233].end 7181.933
transcript.whisperx[233].text 放在所有整套的過程當中不是 財政 國家的財政是在變好的狀態當中我們是把錢放在所有的狀態當中我們不是放在一個洞裡面每個月五千塊對不對賴總統有提這個底氣嘛但是你要知道這個是好幾倍喔
transcript.whisperx[234].start 7182.694
transcript.whisperx[234].end 7209.114
transcript.whisperx[234].text 所以你說現在等於是賴總統提了錢沒問題了好那我本席有三個具體的要求要跟院長講一下其實本席支持而且本席認為應該0到6歲其實是敢不敢生的關鍵第一胎生出來0到6歲如果照顧得很辛苦那基本上他也不太敢生第二胎這個跟你們本意是一樣所以我們希望的事情是問一下院長現在0到2歲0到2歲其實
transcript.whisperx[235].start 7212.176
transcript.whisperx[235].end 7224.392
transcript.whisperx[235].text 公托沒有一個選項真的是完全免費的因為公托一味難求那自己在家帶或送私立的家長呢每個月目前是育兒津貼5000塊而且是裡面最少的齁您可以看一下這個
transcript.whisperx[236].start 7227.403
transcript.whisperx[236].end 7248.61
transcript.whisperx[236].text 每個月最少的那二到六歲呢也只有第二胎以後這個公幼才真正免費第一胎每個月家長要拿出部分的錢所以目前為止他其實是不平等然後自己帶小孩的投入也最少所以這根本是在懲罰選擇自己帶小孩的爸媽所以我主張啊
transcript.whisperx[237].start 7249.17
transcript.whisperx[237].end 7262.443
transcript.whisperx[237].text 是不是應該要把所謂的公托公用准公非營利全部免費然後預額津貼呢加對齊加碼最近很紅啊對齊喔對齊加碼是不是可以來規劃這件事情院長
transcript.whisperx[238].start 7263.948
transcript.whisperx[238].end 7279.715
transcript.whisperx[238].text 兩個問題第一個就是在公托的這個部分我們現在經過補助之後把每個兒童托育的費用控制在家庭可支出的百分之五到百分之十往這個目標來看這個是負擔不起的這是第一個再來公共政最重要的是公共政策不是
transcript.whisperx[239].start 7279.915
transcript.whisperx[239].end 7304.605
transcript.whisperx[239].text 比錢誰花的多不要一直加碼我們一方面衡量財政狀況剛剛我提的那些政策你們都加碼但是沒關係院長我們要好好講完我要跟你討論這件事情啦我們不要一直加碼要整套我們有沒有分配好所有的資源把全部的錢放在0到18歲嗎不是的我們還有其他的院長那你可不可以直接回答我這個訴求你願不願意回去研議一下就是文獲公用
transcript.whisperx[240].start 7305.485
transcript.whisperx[240].end 7325.382
transcript.whisperx[240].text 准公非營利全部免費但是育兒津貼要加碼對期加碼我們現在公托准公托非營利的這個托育從7萬到1萬3的補助是現在現行的我剛說過補助之後家庭的負擔支出是限定在5%到10%在這個部分已經是一個合理的狀態
transcript.whisperx[241].start 7326.263
transcript.whisperx[241].end 7351.683
transcript.whisperx[241].text 那另外我們又加上現在零到六歲也有五千元每個月的一個成長津貼所以我們認為應該可以參與院長或者是這個院長和部長回去研擬一下育兒津貼應該要加碼而且要對齊加碼不要讓家長還要被迫選擇要把選擇權還給家長我最後一句話這個全套的新戰略是衡量到現在的財政能力做合理的規劃所以
transcript.whisperx[242].start 7353.144
transcript.whisperx[242].end 7363.207
transcript.whisperx[242].text 再任何的加碼都是財政上另外一種新的考量所以我才說其實0到6歲很關鍵您仔細聽我講他們現在沒有辦法完全之真的要落實0到6歲國家養好不好所以育兒津貼這個件事情本席在這裡要求請你們回去慎重嚴厲育兒津貼加碼補貼第二個部分也要跟你們報告
transcript.whisperx[243].start 7381.192
transcript.whisperx[243].end 7404.144
transcript.whisperx[243].text 一個馬上做馬上能夠做而且它又不算這個成本上面這個費用預算上面照你們剛剛講是很OK的第一個減痛分娩其實生產是醫學上十級的劇痛那法國在1994年就百分之百的給付英國也全免瑞典免費日本東京也去年10月開始補助最高是10萬日圓
transcript.whisperx[244].start 7405.245
transcript.whisperx[244].end 7429.736
transcript.whisperx[244].text 那台灣呢這些在生產的媽媽要自費五千到八千那我們一年假設以上一年是用十萬來算好了因為接下來應該是更少十萬來算每個補助六千其實全年全國一年大概就是六點五億等於是賴總統開的這個支票每一年兩千多億的零頭中的零頭這部分可不可以給台灣的媽媽願意生育的媽媽這樣子的補助
transcript.whisperx[245].start 7431.967
transcript.whisperx[245].end 7458.704
transcript.whisperx[245].text 跟委員說明這個就是無痛分娩那這個分娩其實都是健保有給付的那這個案子過去曾經提案過那在健保的這個專家會議裡面因為有不同的聲音因為還是有一些專家認為這個並不是絕對的必要而且無痛分娩那部長你願不願意回去再重新檢討一下這個部分我們再收集更多的意見因為之前在專家會議裡頭那麼一個具體的方向
transcript.whisperx[246].start 7461.366
transcript.whisperx[246].end 7468.49
transcript.whisperx[246].text 因為他的專家會議跟這個共理會有一定的程序大概需要三個月的時間因為這個是去年討論過去年討論的時候專家會議並不同沒有共識說這個要納入在給付裡面你覺得這個未來三個月會再重新檢討一次嗎我們看看有沒有新的這個
transcript.whisperx[247].start 7485.34
transcript.whisperx[247].end 7507.919
transcript.whisperx[247].text 證據跟意見進來如果委員提到這個因為過去曾經討論過其實其他的國家已經有在實行這個這個制度而且補助的部分所以請部長您回去是不是可以給本席在專家共理會三個月內給本席一個我們先把上次討論的這個專家的意見先給委員辦公室參考然後我們再來評估看看是不是再重啟這個
transcript.whisperx[248].start 7509.02
transcript.whisperx[248].end 7522.754
transcript.whisperx[248].text 再多徵詢一些專家的意見好 剛剛已經說了其實好幾個國家已經做了我相信台灣的醫療台灣的福利不會比其他人差所以請部長回去慎重的研擬然後給本席辦公室一個具體的報告回應
transcript.whisperx[249].start 7523.564
transcript.whisperx[249].end 7539.345
transcript.whisperx[249].text 再來是育兒減少工時的部分最後2024年的10月30我當時也在勞動部我們的未還委員會質詢的時候其實就有要求過要休那現在中央也說要跟進是不是528有說院會要拍板嗎
transcript.whisperx[250].start 7542.089
transcript.whisperx[250].end 7569.037
transcript.whisperx[250].text 跟文說明喔其實這個減工時的議題其實討論很久我想最重要的事情是配套所以如果我們要提出方案的話重點是我們要拿出配套配套的完備與否才是這個政策能不能夠擴大或擴大適用最關鍵要做和不做啦 對不對現在到底是會做或不做重點是配套的設計那我們就會盡量往更完備的配套的方向來去做設計
transcript.whisperx[251].start 7570.057
transcript.whisperx[251].end 7583.891
transcript.whisperx[251].text 那更完備的配套什麼時候會有更完備的配套可不可以給本席如果我們要提出這個方案的話我們就會把配套一併的那是什麼時候啊什麼時候你沒有回答問題是什麼時候我想現在這一次的這個整體0到18歲的整體的策略我們會跟著行
transcript.whisperx[252].start 7590.964
transcript.whisperx[252].end 7601.526
transcript.whisperx[252].text 因為檢控室的預約會有這個關係嗎?會有,那什麼時候會出來了?什麼時候會成熟?快成熟,會不會給腿心一個時間吧?一個月就快看到一個月還是兩年?一個月到兩年之前嗎?對,就快看到
transcript.whisperx[253].start 7618.459
transcript.whisperx[253].end 7633.742
transcript.whisperx[253].text 好 謝謝梁偉強委員質詢謝謝卓院長 各相關部會所長備詢 謝謝報告委員 我們休息十分鐘之後再繼續進行質詢謝謝油耗委員謝謝吳立華委員 陳昭之委員 陳穎委員陪同我們一起上班長的質詢 下來休息
transcript.whisperx[254].start 8220.943
transcript.whisperx[254].end 8230.213
transcript.whisperx[254].text 我們熱情歡迎來自新加坡新加坡管理大學法學院的同學們的老師熱情掌聲歡迎歡迎接下來我們請武力華委員質詢陳英委員請準備
transcript.whisperx[255].start 8256.502
transcript.whisperx[255].end 8271.941
transcript.whisperx[255].text 謝謝主席有請卓院長麻煩再請卓院長備選務委好院長早
transcript.whisperx[256].start 8273.328
transcript.whisperx[256].end 8290.017
transcript.whisperx[256].text 我今天特地來針對原住民族人的健康問題以及健康政策就叫來關心特別現在剛好是原住民族健康法立法通過滿三年
transcript.whisperx[257].start 8291.818
transcript.whisperx[257].end 8318.546
transcript.whisperx[257].text 所以在這裡呢要讓院長了解一下當時在立法的時候其實最主要的三支箭三個訴求第一個就是希望能夠成立一個委員會那最後呢雖然叫做原住民族健康政策委員會但是當時我們訴求的實質功能希望是可以審議那最後其實還是退而求其次
transcript.whisperx[258].start 8319.286
transcript.whisperx[258].end 8347.412
transcript.whisperx[258].text 最後落板的文字是諮詢所以這個呢我們是帶有遺憾那另外呢就是希望成立援助民族健康研究中心那為什麼呢因為我們是為了要能夠去做正確的好的有效的健康政策那當時呢其實我們更希望的是能夠框定法定的經費預算編列可是因為
transcript.whisperx[259].start 8349.112
transcript.whisperx[259].end 8369.463
transcript.whisperx[259].text 當時呢我們有財政紀律法的問題所以也退而求其次最後文字是寫寬列經費好那都沒有關係我們可以逐年逐步的來檢討那第一個部分呢我在這裡呢也要特別的感謝因為衛福部的組織法在前些日子
transcript.whisperx[260].start 8370.023
transcript.whisperx[260].end 8391.393
transcript.whisperx[260].text 有在做排審有在做修正那雖然還沒有完成但是我在這邊要謝謝衛福部長因為當時他有特別的來承諾會把這個現在的這個照護師改為護理及援助民族健康照護師而且呢會增加一顆並且
transcript.whisperx[261].start 8393.294
transcript.whisperx[261].end 8408.493
transcript.whisperx[261].text 他提到增加這一顆是為了要實質增加人力經費編制所以呢我們覺得非常的期待可是我們來看一下在原住民族健康中心
transcript.whisperx[262].start 8409.514
transcript.whisperx[262].end 8437.229
transcript.whisperx[262].text 我們現在看到的就是它是一個虛擬的中心因為它掛在國衛院底下那在國衛院底下也沒有關係我們原本是希望去落實原建法裡面很重要的四個文字叫做文化安全可是呢我們看到目前為止只能夠國衛院的院長來兼任主任那研究員來兼任
transcript.whisperx[263].start 8437.889
transcript.whisperx[263].end 8453.677
transcript.whisperx[263].text 執行秘書那其他呢是有增加人力但是目前是有五個研究助理他們呢都是屬於計劃型的人力但是這樣子做還是有一個困境為什麼因為他們人為言輕啊
transcript.whisperx[264].start 8454.744
transcript.whisperx[264].end 8469.372
transcript.whisperx[264].text 我們為了要去處理原建法最重要的目標就是改善原住民族健康不平等的現象我們光是看平均餘命壽命目前最新的資料差距是8.17歲其實這是一個很驚人的數字
transcript.whisperx[265].start 8473.314
transcript.whisperx[265].end 8490.752
transcript.whisperx[265].text 那我們要特別講的就是這一些原建中心的這一些計劃人力呢他可能要資料很困難因為我們知道像教育部這些學童資料可能也拿不到那你說園民會過去他們都會有所謂的健康年報
transcript.whisperx[266].start 8491.653
transcript.whisperx[266].end 8515.463
transcript.whisperx[266].text 但是他們的健康年報可能也都是撈健保的資料而且都只做描述性的統計缺乏這種交叉的分析所以在這個部分就沒有辦法去精準分析讓這個健康政策沒有辦法落實所以在院長這邊我第一個就是希望說因為我有去質詢過中研院
transcript.whisperx[267].start 8517.364
transcript.whisperx[267].end 8532.712
transcript.whisperx[267].text 他們有一個令我們非常驕傲的就是台灣精準醫療計畫成功的招募50萬名的參與者建構了全球最大的漢人族群的一個基因庫
transcript.whisperx[268].start 8533.692
transcript.whisperx[268].end 8552.358
transcript.whisperx[268].text 那麼也榮登全球國際最頂尖的期刊Nature這個是台灣的驕傲我有跟他們說原住民的部分可不可以做他們說有困難因為現在要諮商同意資料取得很困難所以為什麼我重整講這些
transcript.whisperx[269].start 8553.678
transcript.whisperx[269].end 8569.052
transcript.whisperx[269].text 做原住民健康政策資料很重要分析很重要但是呢我們必須要有一個數據共享的機制所以我特別到院會這邊來質詢就是希望院長您能不能夠去責成
transcript.whisperx[270].start 8569.953
transcript.whisperx[270].end 8587.759
transcript.whisperx[270].text 要求我們相關的各部會在這個部分能夠去找出一個處理的方法去重新調整需要的倫理規範那在保障族人的同意跟促進醫學政策的這個方面能夠取得一個平衡院長您的意見如何
transcript.whisperx[271].start 8588.987
transcript.whisperx[271].end 8613.509
transcript.whisperx[271].text 謝謝委員你提出這樣的一個要求保障族人同意權跟促進醫學進展這個提議我會讓原民會衛福部的部會去了解不過剛剛除了謝謝委員長期對原住民族健康的關注之外剛剛有一個數字我們應該要對一下因為依照我們現在手上的資料113年全國平均壽命均率是80.77歲
transcript.whisperx[272].start 8615.37
transcript.whisperx[272].end 8622.314
transcript.whisperx[272].text 原住民的平均壽命是73.23相差是113年是7.54那103年的時候是8.24就是這10年來103到113我們是從差距從8.24縮短到7.54我的數字應該沒有錯可以再補充一下院長我跟您補充確實因為您可能不知道
transcript.whisperx[273].start 8641.465
transcript.whisperx[273].end 8660.553
transcript.whisperx[273].text 在原建法之前在文化健康戰這個政策上路之前三十年只縮短一歲但是很奇妙蔡英文總統的文化健康戰的政策上路之後在短短的五年間縮短了將近兩歲
transcript.whisperx[274].start 8661.974
transcript.whisperx[274].end 8684.81
transcript.whisperx[274].text 但是這個只是一個普通的數據沒有一個嚴謹的研究分析所以我們才會覺得說對原住民族健康促進來講取得資料做政策的一個規劃分析其實是非常重要的所以特別希望院長就是可以同意這個部分我們是不是來跨部會的來成立一個平台
transcript.whisperx[275].start 8687.558
transcript.whisperx[275].end 8712.112
transcript.whisperx[275].text 這個我來跟委員說明這個其實原建法通過之後我們也完成了幾件事情這個雖然我們這個原住民政策這個政策會啊那麼雖然是智商性質但是我們很重視我們最近要提出這個原住民族健康的照護中長城計畫就是由這一些這個我們原住民族這個政策會的委員先分組審查
transcript.whisperx[276].start 8713.052
transcript.whisperx[276].end 8742.038
transcript.whisperx[276].text 然後最後我們才彙整起來之後按照委員的意見修正再提送到行政院所以發揮了非常重要的政策制定功能第二個呢那麼這個國衛院的這個原民健康研究中心他也不斷的在增加計畫就是把這些資料的收集或分析做更精確所以我們未來的人力也會隨著計畫的增加來充實擴充那第三個呢剛剛提到的是這個資料庫的運用的部分
transcript.whisperx[277].start 8742.498
transcript.whisperx[277].end 8757.207
transcript.whisperx[277].text 那麼確實是因為在人體研究法裡面有特別提到如果你這個人體研究涉及到原住民族為研究目的或對象的時候那必須要有這個部落或者是原住民族會議的同意
transcript.whisperx[278].start 8757.907
transcript.whisperx[278].end 8776.054
transcript.whisperx[278].text 有別於一般的人體研究但是在BioBank就是人體這個生物資料庫管理條例裡面就沒有這個規定了所以現在的問題就是在於說如果你是人體生物資料庫裡面的資料那麼能不能夠區分出它是不是
transcript.whisperx[279].start 8777.594
transcript.whisperx[279].end 8798.003
transcript.whisperx[279].text 進資料庫的時候有沒有辦法區分他的這個是不是漢民族或者是原住民族有沒有這樣的資料那未來怎麼樣去提供比較精準的研究這個我們我會來這個因為這個在上次我親自主持這個原住民族政策會的時候也有委員提出這個問題我也會來召集這個
transcript.whisperx[280].start 8802.236
transcript.whisperx[280].end 8819.845
transcript.whisperx[280].text 跨部會的這個讓大家這個法規上清楚是可行的是可行的部長其實您提到這個我也是蠻疑惑的因為在中研院的台灣精準醫療計畫其實它是可以正確的撈取漢人的資料所以我就不懂那為什麼
transcript.whisperx[281].start 8820.885
transcript.whisperx[281].end 8836.636
transcript.whisperx[281].text 非漢人的資料就無法來抓取沒有關係這個我希望各位可以在平台上討論剛剛您提到這個39個生物資料庫中研院那個他的蒐集的時候他的那個變相裡面有這個這個民族和民族
transcript.whisperx[282].start 8837.556
transcript.whisperx[282].end 8839.898
transcript.whisperx[282].text 延續的一個問題就是說我們的長照我剛剛有提到
transcript.whisperx[283].start 8854.851
transcript.whisperx[283].end 8870.057
transcript.whisperx[283].text 過去九年來的文化健康戰真的是帶給原鄉尤其是長者非常大的改變除了促進在地就業之外真的對原住民長者的健康照護真的非常的好但是有一塊做得比較不好
transcript.whisperx[284].start 8870.757
transcript.whisperx[284].end 8887.586
transcript.whisperx[284].text 就是住宿型的機構而是用所謂的日間照顧這種或者家托站來取代所以我們一直希望這個長照的部分住宿型機構是很重要那麼來看一下長照資源發展講注辦法有提到
transcript.whisperx[285].start 8889.227
transcript.whisperx[285].end 8907.663
transcript.whisperx[285].text 這個獎勵補助要對離島偏鄉原住民族及其他長照資源服務不足地區要優先予以獎助但是在113年發布的這個辦法裡面呢我們發現不見區域並沒有原鄉那我在這裡有去提出質疑
transcript.whisperx[286].start 8908.484
transcript.whisperx[286].end 8931.087
transcript.whisperx[286].text 得到的回應是告訴我說其實現在我們過去前瞻計畫做的這些長照機構空床率很高所以覺得不需要但是實際的情形是什麼我們原住民在都會區他們可以說要去長照住宿型機構幾乎我沒有聽過有幾個人有能力去
transcript.whisperx[287].start 8932.011
transcript.whisperx[287].end 8947.364
transcript.whisperx[287].text 那麼在一般縣市當然我們講原鄉沒有但是在一般縣市我們也發現他們也住不起所以我要講的是說這個不是有床沒床的問題而是條件跟經濟的排除
transcript.whisperx[288].start 8948.004
transcript.whisperx[288].end 8967.833
transcript.whisperx[288].text 因為他們如果未達失能四級或者不具中低收入戶身份他們其實是進不去的所以我就希望說是不是能夠有在園鄉設置一個文化安全特色的住宿型機構非常感謝也有允諾我了
transcript.whisperx[289].start 8968.933
transcript.whisperx[289].end 8993.748
transcript.whisperx[289].text 有很多的族人在都會區他們真的住不起我說能不能夠提供那些住宿型機構休散費或者是原住民專屬的長照床位讓他們有機會進去那我也非常高興已經有允諾我了所以這個部分我只是要請教院長跟部長是不是能夠在一年內啊能夠就這兩件事我們可以看到開花結果
transcript.whisperx[290].start 8994.848
transcript.whisperx[290].end 9016.107
transcript.whisperx[290].text 會 我們在長照3.0裡面會去特別著重在原鄉特別是原住民的兼顧他的安全文化的這個服務機構所以我們會來努力謝謝 因為我們必須要盡速的完成這件事情我在原鄉或者都會區看到太多
transcript.whisperx[291].start 9016.687
transcript.whisperx[291].end 9035.676
transcript.whisperx[291].text 需要住宿型機構的老人家他其實是很辛苦的安置在自己的家裡那家裡人呢也負擔不起變成是他們家庭很重的一個負擔那希望這個部分能夠在一年內可以看到成果那再來就是都會區文件站我也很關心為什麼呢
transcript.whisperx[292].start 9037.037
transcript.whisperx[292].end 9047.835
transcript.whisperx[292].text 現在原鄉有430在但是在都會區只有95在可是實際住在都會區的有70%的原住民
transcript.whisperx[293].start 9049.12
transcript.whisperx[293].end 9076.863
transcript.whisperx[293].text 落極的50%實際居住的高達七成所以我們現在遇到一個路障就是有一個一村裡一巷弄的原則就變成在都會地區只要那個地方有據點就變成申請文件站的時候過不了因為長照基金比較不願意去支付這樣的金額所以在這個部分我不曉得院長或部長針對這個部分能不能去做改善
transcript.whisperx[294].start 9078.246
transcript.whisperx[294].end 9092.96
transcript.whisperx[294].text 跟委員說明確實因為我們為了這個資源部件的均衡性會有設定一定的範圍那不過剛剛您特別去著重到文化敏感度這個的問題那我們來評估看看對於這個
transcript.whisperx[295].start 9094.054
transcript.whisperx[295].end 9110.059
transcript.whisperx[295].text 你這指的就是都會原住民所以如果在都會區的原住民的人數比較高我們跟這個原民會會來討論那麼看看是不是以比較具原住民特色的這個據點對 我們是希望依實際需求
transcript.whisperx[296].start 9111.879
transcript.whisperx[296].end 9138.72
transcript.whisperx[296].text 去做一個增設然後專案的核定那我想這個部分文建站目前其實依照人口比例來講的話他還是有增設的一個需要所以希望這個部分來處理那最後因為時間的關係我再問一題就是關於疫苗公費疫苗 帶狀砲診疫苗我們都知道疫苗是最佳的健康投資那文建站是最貼近族人的照護模式
transcript.whisperx[297].start 9139.44
transcript.whisperx[297].end 9165.854
transcript.whisperx[297].text 所以我想說的是很多的縣市其實現在都有這個帶狀皰疹的公費疫苗可是有些縣市沒有可是我想說的是原住民的人口啊這些需要的人啊他不能夠淪為戶籍抽獎啊所以我算了一下如果這些沒有的55歲以上的原住民老人14萬人有沒有辦法加入政府的公費疫苗
transcript.whisperx[298].start 9167.219
transcript.whisperx[298].end 9192.212
transcript.whisperx[298].text 跟委員說明有關於這個帶狀皰疹的疫苗公費疫苗政策我們現在正由這個疾管署好 謝謝
transcript.whisperx[299].start 9197.253
transcript.whisperx[299].end 9223.666
transcript.whisperx[299].text 好 謝謝吳麗華委員的諮詢謝謝 左院長 衛福部長備詢 謝謝我們一廠二樓來自高雄鹿竹鄉蔬菜生產合作社非常多的長輩我們掌聲歡迎各位接下來我們要請陳盈委員諮詢陳昭之委員請準備
transcript.whisperx[300].start 9249.639
transcript.whisperx[300].end 9255.487
transcript.whisperx[300].text 好 謝謝主席 麻煩請院長跟衛福部長麻煩再請左院長衛福部長備詢
transcript.whisperx[301].start 9270.507
transcript.whisperx[301].end 9288.446
transcript.whisperx[301].text 我想今天接下來的前三個問題大概都跟台東地形狹長有關係台東大概全長176公里南北距離這麼長而且人口居住的型態都是比較分散的所以台東需要有更精緻化的公共服務
transcript.whisperx[302].start 9290.988
transcript.whisperx[302].end 9309.782
transcript.whisperx[302].text 就今天我想就拖音跟長照的部分我們先來討論那行政院在這禮拜二有宣布了0到18歲全程支持計畫面對少子化的問題希望透過各項政策減輕來協助減輕家庭育兒的負擔提高生育率
transcript.whisperx[303].start 9310.242
transcript.whisperx[303].end 9325.187
transcript.whisperx[303].text 那這個部分其實這幾天我連甚至聽到這個國民黨的議員們在地方也都是大力的戰下那依照這個統計呢我們台東0到20歲的這個嬰幼兒每個鄉鎮都有數十個甚至上百個
transcript.whisperx[304].start 9326.047
transcript.whisperx[304].end 9345.472
transcript.whisperx[304].text 那但是台東的托嬰中心公司力共有10家那9間全部集中在台東市南回的話呢則是有一間洛興托嬰中心在京豐是在去年4月份的時候開始啟用的那其他的鄉鎮呢則是完全都沒有托嬰中心所以如果我們以長濱來看
transcript.whisperx[305].start 9347.312
transcript.whisperx[305].end 9370.609
transcript.whisperx[305].text 他們如果要把嬰幼兒送託的話從長濱到台東市的托嬰中心最遠的距離有95公里這麼遠而正谷縣的鄉鎮未來可能慈善、鹿野今年或明年應該會成立因為經費也協助他們爭取到了但是目前的話是完全沒有的
transcript.whisperx[306].start 9372.286
transcript.whisperx[306].end 9395.107
transcript.whisperx[306].text 所以這些鄉鎮的這個家庭當中如果有嬰幼兒除了自己帶以外呢再當然就是要找保母了那麼我們政府在解決少子化的問題建立友善的這個托育環境是最基本的支持跟協助如果每個鄉鎮呢都來建置這個托嬰中心的話每個鄉鎮的需求量它多寡是不一的
transcript.whisperx[307].start 9395.808
transcript.whisperx[307].end 9415.075
transcript.whisperx[307].text 所以我們是不是可以來在台東我們來發展這個公共家園小型托嬰的服務這個公共家園的小型托嬰服務它需要的規模沒有很大那經費呢就是說或許也相對比較少
transcript.whisperx[308].start 9415.495
transcript.whisperx[308].end 9435.35
transcript.whisperx[308].text 因為不需要再去蓋建築物我們可以透過閒置的公共空間由公辦民營的方式以四位托育人員照顧12名嬰幼兒差不多這樣的規模我有請衛福部來盤點資料台東目前附設幼兒園的國小總共有37間
transcript.whisperx[309].start 9440.474
transcript.whisperx[309].end 9458.703
transcript.whisperx[309].text 只要學校有閒置空間我們就可以來規劃讓幼兒園照顧的學齡向下衍生增加零到二歲的托嬰中心我想要請教院長中央是不是可以來積極協助我們台東推辦公共家園的小型托嬰服務
transcript.whisperx[310].start 9459.98
transcript.whisperx[310].end 9486.477
transcript.whisperx[310].text 好 謝謝委員我們在行政院即將要完成的台灣人口對策新戰略的向下我們除了大家關心的0到18歲每月5000元這是在安心生養這個面向底下我們另外還有一個面向是強化托育強化托育有幾個目前包括我們已經在做的各種托嬰托育的機構我們會希望能夠廣設目前我們這個機構還是量能不足另外我們希望
transcript.whisperx[311].start 9487.638
transcript.whisperx[311].end 9513.755
transcript.whisperx[311].text 補助協助企業能夠廣設另外也希望政府的公部門單位能夠設但這些對台東來講都不見得適用得到所以我們另外對偏鄉還應該有更加強的一個設備因為企業不可能在那邊設很多公部門也有限再來除了不足之外更嚴重的還有一個是不均地理上的不均衡所以我們應該對偏鄉要重新還有一個細部的規劃謝謝委員的提醒
transcript.whisperx[312].start 9514.275
transcript.whisperx[312].end 9541.938
transcript.whisperx[312].text 是 所以這個部分因為特別是院長點出一個很重要的問題我們台東其實企業也沒有那麼多然後相對比較小型一點所以這個部分是不是本席剛剛前面建議的那是不是可以由這個中央權而來補助開辦費提供給我們台東人人力的協助那幫忙台東推動這個公共家園小型托嬰服務這個部分馬上可以想像就是把一個國小
transcript.whisperx[313].start 9542.939
transcript.whisperx[313].end 9561.617
transcript.whisperx[313].text 還有他的幼兒園 拓荫中心把它合起來為一利用現有的國小的設備或現有的教育資源能夠補充一些師資 增加一些設備那麼也從經費上來著以相當的考量是不是能夠就這樣子把每個地區至少基本的量能給它建構起來
transcript.whisperx[314].start 9562.714
transcript.whisperx[314].end 9585.855
transcript.whisperx[314].text 對我們有相當迫切的需求這就是說公共的家園的概念也許這樣也能完成謝謝院長的大力支持那其實我在三月的時候這個議題當然我在未還委員會也有質詢這個題目那部長也非常的支持那麼也希望衛福部能夠盡速來協助台東盤點各鄉市的托嬰需求
transcript.whisperx[315].start 9587.256
transcript.whisperx[315].end 9604.404
transcript.whisperx[315].text 因為我的理解衛福部應該已經是就是說他仍然在很積極的盤點當中那因為大概我算了一下三月到現在應該今天下午就可以回報我們辦公室了那也希望衛福部可以積極的來溝通協調
transcript.whisperx[316].start 9606.505
transcript.whisperx[316].end 9620.143
transcript.whisperx[316].text 那確定可以就是說這37所學校釋出閒置教室的意願以及這個各鄉鎮托嬰的需求那我們盡快來促成開辦第一間在台東的小型托嬰服務的這個公共家園的部分
transcript.whisperx[317].start 9620.592
transcript.whisperx[317].end 9643.491
transcript.whisperx[317].text 好 沒有問題 我們會儘速來推動就是以現有的這一些已經有複設幼兒園的優先因為他師資已經在了 只是把年齡再往下延伸這個部分我們會優先來處理那盤點的部分 應該下午再請同仁跟我們回報我們會請教育部來協助這個事情跟地方政府都要來共同協助
transcript.whisperx[318].start 9643.902
transcript.whisperx[318].end 9662.491
transcript.whisperx[318].text 好謝謝那另外提到小子化的議題在這個提升生育率的問題那現在這個年輕人其實真的很可憐就像一塊三明治被夾在中間這個焦頭爛額因為要照顧孩子還要照顧老人照顧父母那
transcript.whisperx[319].start 9663.411
transcript.whisperx[319].end 9686.94
transcript.whisperx[319].text 我們要讓年輕人趕婚趕生趕養以外我們就是要協助小朋友的托育問題之外還有一個非常重要一環就是長輩的照顧我們來看一下這是我們歷年長照的經費2016年之前長照10年的時候長照的年度預算只有45億在2016年我回到立法院的時候當時小英總統
transcript.whisperx[320].start 9688.381
transcript.whisperx[320].end 9694.527
transcript.whisperx[320].text 我們也跟著很多的立委同仁一起努力推動長照2.0在這8年當中長照預算成長了20倍那2026年進入長照3.0之後我們年度預算
transcript.whisperx[321].start 9703.997
transcript.whisperx[321].end 9723.216
transcript.whisperx[321].text 已經破了千億元一千一百多億台東的關懷據點還有文建站從2016年從原本的44站在這10年當中我們現在台東已經總共有217站了這個是政府對於老人照顧的用心跟重視
transcript.whisperx[322].start 9724.878
transcript.whisperx[322].end 9747.12
transcript.whisperx[322].text 但是我們進入這個長照3.0之後呢我覺得這個長輩照顧的政策一定還要再有所精進跟調整尤其在我們地形狹長的台東這是目前台灣大多數長照住宿式機構的樣子明亮乾淨這是一個比較大型集體式的生活
transcript.whisperx[323].start 9747.5
transcript.whisperx[323].end 9764.591
transcript.whisperx[323].text 那就是很多住宿式機構的老人他們休閒活動時的情形是一個大型團體式的形態那麼在這個制式化的生活當中這樣的住宿式機構規劃大部分都是七八十床甚至上百床
transcript.whisperx[324].start 9765.111
transcript.whisperx[324].end 9786.548
transcript.whisperx[324].text 那如果床數沒有那麼多的話這個機構可能就會虧損甚至就倒閉關起來那這個也就是台東為什麼這個長濱一直都沒有辦法有這個住宿是長道機構的問題那另外台東總共有16個鄉鎮除了台東市關山大武以外呢其他的這個住宿是資源不足的地區也就是說
transcript.whisperx[325].start 9787.829
transcript.whisperx[325].end 9815.406
transcript.whisperx[325].text 其他13個鄉鎮的長者如果他有住宿式的這個需求照顧的需求的話呢就要離鄉背井離開自己的這個長年居住的地方那我想在這邊跟院長分享一個老人照顧的模式叫做這個共生之家那麼這個共生之家在日本呢已經推行多年的照顧模式他們需要的建築物呢就像一般民宅一樣透過政府公辦民意的方式將一般民宅規劃成
transcript.whisperx[326].start 9817.148
transcript.whisperx[326].end 9833.085
transcript.whisperx[326].text 大概規模四到五人的這個老人居住的空間我們看一下這是日本共生之家長者居住的房間就像住在家裡一樣的那這個是他們在屋內互動的情形
transcript.whisperx[327].start 9834.506
transcript.whisperx[327].end 9852.175
transcript.whisperx[327].text 可以在互相陪伴的空間生活當中自然互動的照顧之下提升長者的生活品質跟身心健康尤其他們可以在自己熟悉的環境熟悉的社區甚至熟悉的部落裡面可以相當有尊嚴的
transcript.whisperx[328].start 9853.696
transcript.whisperx[328].end 9873.972
transcript.whisperx[328].text 来被照顾这才是一个真正在地老化在地照顾的一个长照服务的模式那而不是说还要离自己原本很熟悉就是住了很久的地方还要移到这么远的这个住宿式机构里面在一个很制式的被安排被照顾的
transcript.whisperx[329].start 9875.053
transcript.whisperx[329].end 9903.591
transcript.whisperx[329].text 方式來生活那我不曉得就是說院長對於這樣子的建議讓這樣的模式看法如何好謝謝委員 委員剛剛有提到一百一十五年度我們的長照計畫一千一百五十三億不比以前的光比去年就增加了將近百分之二十五所以一年當中我們增加很多因為政府看到這個方面的需求但是如果讓它更廣泛的涵蓋更多的地方不是
transcript.whisperx[330].start 9904.531
transcript.whisperx[330].end 9918.676
transcript.whisperx[330].text 用多少的錢就馬上可以做到的必須想出一個方法委員我知道一直在提供這個所謂共生的家庭就是政府來協助地方上能夠租一個房子租一個適當的建物那聘僱一些專業的造福員進來照顧這些長者
transcript.whisperx[331].start 9921.597
transcript.whisperx[331].end 9949.188
transcript.whisperx[331].text 讓它成為一個居家醫療居家服務的延伸我認為這個策略這個想法會讓我們在這麼大的長照的預算當中更快去把做地方做更多的均衡我覺得這個創意是很好的我也希望能夠衛部從這個方向講在偏鄉能夠採取這樣的方式可以增加我們涵蓋率的速度因為還是提到回到這個我們台東地形狹長的問題所以是不是我們我在這裡爭取啦可以從我們台東先優先來試辦
transcript.whisperx[332].start 9951.034
transcript.whisperx[332].end 9976.593
transcript.whisperx[332].text 跟委員說明其實我們從這個三四月的時候就一直在跟之前有民間在試做了只是一直沒有納入我們的長照體系那共生宅確實在資源比較不足它不足以形成一定的經濟規模所以住宿式的機構不足的地方我們會優先來試辦所以我們在討論裡面大概有兩個優先試辦的地方一個是原鄉原住民族地區
transcript.whisperx[333].start 9977.335
transcript.whisperx[333].end 9994.93
transcript.whisperx[333].text 那麼因為我們的族人也比較有這種從以前就有比較互助的精神第二個就是缺乏的誘因這個地方的規模不夠經濟規模不夠不足以有這個住宿司機構建立的地方我們會優先來試辦應該今年就會有試辦的計畫出來現在已經開了幾次會議了
transcript.whisperx[334].start 10000.034
transcript.whisperx[334].end 10027.357
transcript.whisperx[334].text 有一個條件必須找到一個適合的地點委員對台東的地區非常的了解最近就請走於這個基層如果委員有發現適當的地點我們來做充分的合作將台東來作為一個示範的地區請委員來幫忙好 謝謝那另外就是說要提到因為許多的衛生所肩負偏鄉離島醫療的重責大任特別台東也是這樣的情形
transcript.whisperx[335].start 10028.658
transcript.whisperx[335].end 10053.171
transcript.whisperx[335].text 雖然我們一般鋼筋混凝土建築的使用年限大概有五、六十年其實很多的建築特別是靠海的超過四十年之後很多可能都出現耐震不足、牆面均裂還有管線老舊的問題早期的建築工法跟現在技術有相當的落差特別甚至早期還有很多海砂屋的情況
transcript.whisperx[336].start 10055.092
transcript.whisperx[336].end 10081.968
transcript.whisperx[336].text 加上就是說台東很多靠海的衛生所像泰瑪里、蘭嶼受到海風沿海的影響建物老化的情況很嚴重台東的衛生所跟渡惠區的衛生所有很大的差異因為偏鄉衛生所同時都要肩負醫療的服務項目所以我們衛生所在偏鄉扮演的角色是相當重要台東有16個衛生所
transcript.whisperx[337].start 10083.989
transcript.whisperx[337].end 10098.875
transcript.whisperx[337].text 很多的衛生所建築都相當老舊將近有一半這個屋齡其實都是像30到39年關山海端碑南東河那再來就是超過40年以上的這個鹿野太麻里鹽坪
transcript.whisperx[338].start 10099.955
transcript.whisperx[338].end 10127.622
transcript.whisperx[338].text 衛生所這個都很需要來重建或者是耐震補強甚至這個空間整修裝潢所以我在這裡希望中央可以支持就是我們這些老舊的衛生所重建以及整修那這個部分我們是不是在特別是從這個屋齡40年以上我們可以優先來處理這樣子好
transcript.whisperx[339].start 10129.233
transcript.whisperx[339].end 10148.434
transcript.whisperx[339].text 跟委員說明我們也有跟衛生局去溝通所以由衛生局先去盤點那麼當然這個屋齡是一個考量另外屋況也很重要就是當時候它的建築到目前為止那麼它的老舊程度跟安全程度這個都會一併要入考慮那目前看起來
transcript.whisperx[340].start 10148.994
transcript.whisperx[340].end 10173.562
transcript.whisperx[340].text 盤點之後大概有五家啦會優先自列為這個優先要改建或者是重建的我們會來這個優先支持好 謝謝那我在這裡快速給院長一個數字就是我們勞動部根據這個勞工健康保護規則事業單位大概要300人300人呢
transcript.whisperx[341].start 10176.607
transcript.whisperx[341].end 10193.888
transcript.whisperx[341].text 五到五十到三百元 中間大概就是五千元的戶口那目前呢 至少有五千三百萬位甚至到五萬九千個戶口轉變職場 業務大幅上升從這個中間的經濟不斷的下降
transcript.whisperx[342].start 10209.896
transcript.whisperx[342].end 10210.196
transcript.whisperx[342].text 好 謝謝好 謝謝
transcript.whisperx[343].start 10224.448
transcript.whisperx[343].end 10241.951
transcript.whisperx[343].text 好 謝謝請行政部門書面答覆陳一委員所提的資料需求 謝謝謝謝陳一委員質詢 謝謝主委長 相關部會首長貝勳 謝謝接下來我們今天口頭質詢最後一位委員我們請陳昭之委 請質詢
transcript.whisperx[344].start 10252.935
transcript.whisperx[344].end 10255.822
transcript.whisperx[344].text 謝謝主席 有請卓院長再請卓院長備詢
transcript.whisperx[345].start 10265.744
transcript.whisperx[345].end 10282.649
transcript.whisperx[345].text 陳偉豪院長好 我們這場質詢 詢答之後您就可以好好休息一下辛苦院長了不會 謝謝院長我們過去都在擔心酒駕的問題那現在我們多了一項煩惱跟焦慮獨駕就是獨駕的問題那院長您知道為什麼獨駕越來越多了呢
transcript.whisperx[346].start 10284.568
transcript.whisperx[346].end 10311.929
transcript.whisperx[346].text 毒價的問題它隨著整個毒品的新興毒品越來越多會氾濫而且年齡層下降但重點是我們現在有用唾液來篩檢所以我們發現更多的毒價我直接告訴您因為它的吸食太方便了過去的這個毒品你可能要注射要鼻吸就是可能要躲在房間裡坐等等等等但是它現在太方便了因為這是涉及我的專業伊托米子它是醫療上的短效麻醉劑然後它的藥效很強
transcript.whisperx[347].start 10312.349
transcript.whisperx[347].end 10335.17
transcript.whisperx[347].text 一點點量就可以發揮作用然後它很容易融入那個煙油裡面很容易吸收你知道嗎甚至不要幾分鐘幾十秒它就可以讓人得到快感然後現在氾濫成災又很容易取得所以請院長看一下這張圖你看這個是國建署提供的這個電子物化器他們用來吸食這個新興毒品像伊托米子就是
transcript.whisperx[348].start 10336.652
transcript.whisperx[348].end 10353.563
transcript.whisperx[348].text 這個吸食者可以任意加入任何東西在這個物化器裡面那剛剛我提到因為現在伊脫米子基於他剛剛那個特性然後他又很容易取得所以現在很多人把這個伊脫米子放在這個電子煙的物化器裡面然後他開車的時候
transcript.whisperx[349].start 10355.044
transcript.whisperx[349].end 10369.534
transcript.whisperx[349].text 隨口方便想要就一口就吸了吸了一口這簡直非常的方便所以現在你可以看到酒駕獨駕的這個肇事案件只要警察一搜車上都搜出了依託米紙
transcript.whisperx[350].start 10370.514
transcript.whisperx[350].end 10392.205
transcript.whisperx[350].text 所以這個院長非常的這個事情是非常的嚴重因為他吸食太方便了那現在有人在公共政策平台上有人在發起連署他寫說希望政府把這個電子煙的物化劑列為列在毒品妨礙條例當中的一個這個毒品吸食工具來列管你有支持這樣的做法嗎
transcript.whisperx[351].start 10392.805
transcript.whisperx[351].end 10408.975
transcript.whisperx[351].text 電子菸本來就是一個劣管的違禁品他現在是指那個載器就是載具就是放這個那個載具也要劣管因為過去它只是一個菸品的劣管現在要到毒品的劣管不知道您的想法是否支持或同意因為有人在連署了
transcript.whisperx[352].start 10409.355
transcript.whisperx[352].end 10432.797
transcript.whisperx[352].text 我們現在已經是電子間它載具是一個違法的違禁品但是任何有助於這種吸毒的行為讓它減緩下來遏止下來的任何的措施我們都會努力研究院長我一說放在毒品的條例是不一樣任何有助於防毒的這個工作我們都會全力來研究怎麼樣讓它有效成為一個處罰上可行的政策
transcript.whisperx[353].start 10433.557
transcript.whisperx[353].end 10455.591
transcript.whisperx[353].text 我今年也代表了立法院的市長團去WHA就是市長團今年大概有幾個突破但是其中最重要的一個突破大概應該是雙部長的出現文金交融部長也能夠出席一些重要的交流活動我還看到大概超過200個人從海內外從國內外就是不同地方到日內瓦為台灣加油打氣
transcript.whisperx[354].start 10456.471
transcript.whisperx[354].end 10481.037
transcript.whisperx[354].text 但是院長我想請教你的是請問你有掌握資訊就是在WHA會中因為我們進不去到底有多少邦交國跟非邦交國幫我們講話呢你有講過這個資訊嗎我不一定要知道是誰或多少每年五月下旬這個WHA的盛會都是我們國家在展現我們主體主權的一個非常重要的場合今年非常感謝
transcript.whisperx[355].start 10482.017
transcript.whisperx[355].end 10510.234
transcript.whisperx[355].text 有11個邦交國就是他的正式的組織的成員國11個在會中幫我們說話了另外還有15個理念相近的國家雖然跟我們沒有講也幫我們在裡面講出台灣的重要性我們非常感謝謝謝院長 院長你有掌握但是我要請教你從倡議加入WHA到今天29年那您覺得我們台灣距離WHA是越來越近
transcript.whisperx[356].start 10511.375
transcript.whisperx[356].end 10533.901
transcript.whisperx[356].text 還是越來越遠 請問現在距離有多遠我們每次都到門口到門口 但是進不去還要再努力 國際政治的現實 以及中國刻意的打壓他不發邀請等等 都是在這個過程當中盡量的要打壓台灣但是我們的距離 至少我們可做的 我們做到極致就是29年來還是站在門口啦
transcript.whisperx[357].start 10534.661
transcript.whisperx[357].end 10561.495
transcript.whisperx[357].text 這個是一個事實我本來要問你說到底越來越近還越來越遠因為川習會當中他有提到說兩個大國美中提到說最重要問題竟然是台灣問題我沒有想到我們三位立委在跟瑞士的國會議員交流的時候他們就竟然提出了這個問題問我們結果兩個大黨推我先講後來我們三個都發言了我的一開口當然我講了不少我一開口就說非常遺憾兩個國家在討論台灣但是台灣不在場
transcript.whisperx[358].start 10563.976
transcript.whisperx[358].end 10581.686
transcript.whisperx[358].text 所以我們似乎沒有權利去掌握我們自己的命運我現在要請問院長您認為台灣跟中國的最適當的距離是什麼在維護國家主權的同時能不能避免被國際組織排除尤其是我們的強項健康醫療照護
transcript.whisperx[359].start 10583.628
transcript.whisperx[359].end 10598.881
transcript.whisperx[359].text 公衛這個都是我們強項我們面對WHA WHO的時候您認為我們的最適距離是什麼可以簡單回答嗎分兩種第一個我覺得台灣跟中國的交流我們願意在健康永續平等而且尊嚴的狀況之下直接的跟他交流
transcript.whisperx[360].start 10599.702
transcript.whisperx[360].end 10614.544
transcript.whisperx[360].text 第二個如果要防制中國武力的各種威脅台灣應該結合跟我們理念相近國家一起形成一個民主防禦的堅強的一道夥伴就是在維持印太地區的整個安全跟穩定這兩個部分要分開
transcript.whisperx[361].start 10615.184
transcript.whisperx[361].end 10633.937
transcript.whisperx[361].text 能夠聽到更具體的答案不過這是您大概一向的標準答案也是用了很多年了不過就是我就把我們遇到的狀況就讓院長知道他們是直接對我們提問想大家了解我們身為民意代表我們的想法是什麼院長面對少子女化的問題總統賴總統在擔任副總統所以2022年跟2023年他接見那個誘奪獎的這個得獎的時候他講了一句話
transcript.whisperx[362].start 10640.501
transcript.whisperx[362].end 10660.619
transcript.whisperx[362].text 年輕夫妻家庭如果因為生理因素而沒辦法生政府應該要優先解決那麼他在執政兩週年的演講中他也再度提到年輕人想生但卻因為生理因素沒有辦法生等等也就是說總統一直以來他都把這個問題很清楚放在心上台灣社會一直存在一群人
transcript.whisperx[363].start 10661.3
transcript.whisperx[363].end 10689.645
transcript.whisperx[363].text 他想生養但是因為身體跟生理的因素而沒有辦法如願他認為政府是有責任要協助解決的請問院長民進黨的少子女化的政策對於生理因素無法生育的解決方案是什麼政府的政策不僅希望大家能夠多生育對這種因為生理狀態無法生育的人我們也願意從人工生殖各方面來進行所必要的一些補助我知道你們就是一直談補助
transcript.whisperx[364].start 10690.825
transcript.whisperx[364].end 10719.663
transcript.whisperx[364].text 你們一直談普渡但是卻無視一群先天後天子宮或其他重大疾病直接相關疾病子宮有病變的人你們就是放任代理孕母制度被醜化黑化而且讓人工生殖法就年久失修了一直就是不願意去面對因為我必須跟你報告我擔任立委以來我兩回遇到賴總統是很靠近的這個地方我問總統說您是否還支持代理孕母法案為什麼呢
transcript.whisperx[365].start 10719.983
transcript.whisperx[365].end 10748.505
transcript.whisperx[365].text 因為他是台灣第一個提出代孕法案的立法委員在2002年賴總統兩次都回答我說我當然支持啊甚至說他要找執政黨立委來跟我溝通這代表說賴總統強調正是他所謂的想生但是因為生理或是身體有困難是需要解決的問題那卓院長您在意此事嗎?您要推動嗎?還是幾位部長都異性南山呢?根本無法去體察民意呢?
transcript.whisperx[366].start 10749.161
transcript.whisperx[366].end 10778.168
transcript.whisperx[366].text 我很清楚委員對於代理這個制度常年來推動我也很願意你願意推動嗎你很機會賴總統這樣回答我你也可以跟他求證啊我們很願意往前跨一步衛福部經過多次的這個相關座談會跟相關的這個攤單位現在正反兩邊的意見還是有點懸殊我們必須做更多的社會沒有懸殊 院長你用的取樣是不對在平台上不能取樣你沒有用民意調查衛福部曾經把代孕放在行政院
transcript.whisperx[367].start 10779.549
transcript.whisperx[367].end 10799.685
transcript.whisperx[367].text 但被姓平會否決掉了因為你根本出不了衛福部大門啊2024年其實衛福部公告的裡面內容是含著大運法案結果引來執政黨一群立委他就開記者會用這個失真的論述等一下我會談這個部分就是失真的論述逼迫衛福部
transcript.whisperx[368].start 10800.225
transcript.whisperx[368].end 10814.011
transcript.whisperx[368].text 退縮然後說改口就說要脫鉤處理先處理所謂的什麼女女的同志跟單身女性的部分然後再來用專法處理脫鉤處理專法的這個代孕的部分請問拖多久了
transcript.whisperx[369].start 10815.043
transcript.whisperx[369].end 10834.05
transcript.whisperx[369].text 根本就零進度嘛我就了解根本就零進度啊所以事實上你們就是用專法脫鉤為名啊兩句話跟我們報告那你也看得出來行政院是有在努力各方的嘗試再來至少這個問題漸漸會收斂到現在我們局限在幾大面向來做更多的社會溝通
transcript.whisperx[370].start 10834.81
transcript.whisperx[370].end 10857.894
transcript.whisperx[370].text 我再跟您報告因為他們一直以用施針的論述一直以來有部分人是故意說代理母是違反國際聯合國人權精神甚至說CEDAW直接禁止代孕但是聯合國從來沒有明文禁止代孕CEDAW的核心的問題是要消除對女性的歧視要保障女性自主要保障女性的生育自主權從來不是全面否定代孕制度
transcript.whisperx[371].start 10858.875
transcript.whisperx[371].end 10883.656
transcript.whisperx[371].text 臺灣的反對代孕者錯誤的引用聯合國的報告他根本不是聯合國的正式報告他是一位聯合國的特別報告者叫 Reem Elsalam他曾經對商業代孕商業代孕的女性剝削風險提出批評跟離略但是特別報告員的意見不代表聯合國的意見聯合國正式公約的義務所以院長簡報上這位律師澳洲律師Steven Page他就指出
transcript.whisperx[372].start 10884.457
transcript.whisperx[372].end 10908.257
transcript.whisperx[372].text 特別報告員沒有引用很重要的美中人權法案墨西哥最高法案哥倫比亞憲法法院的人權裁決這些裁決都提到訴求單元是人權問題他就直接講human rights of assessing surrogacy也就是前述的特別報告員他刻意忽略了一些重要的因素所以這樣的
transcript.whisperx[373].start 10909.378
transcript.whisperx[373].end 10933.72
transcript.whisperx[373].text 意見會公正嗎那部分執政黨立委就拿這個錯誤的論述那簡化成說聯合國禁止代孕那拒絕理性的討論拒絕理性的討論我們怎麼樣建立一個周全的自主在這個醫療安全在知情同意在保障女性自主的前提下我們來避免商業剝削跟這個權利不對等啊就是用錯誤的論述啊院長就是今天我談的你都是可以去查證的
transcript.whisperx[374].start 10934.781
transcript.whisperx[374].end 10953.967
transcript.whisperx[374].text 那剛剛您也提到目前政府對少子化的這個少子女化的這個對策就是補助補助再補助除了補助好像沒有其他更好的方法面對願意生養還是要面對願意生養但是有困難生養有生理問題即便科技科學醫學科技有解
transcript.whisperx[375].start 10955.356
transcript.whisperx[375].end 10971.01
transcript.whisperx[375].text 一直存在一直訴求就是迴避院長您不覺得您對這一群人也是你的子民啊太殘忍了嗎我們對於人口對策你不覺得對我跟對我後面這一群人太殘忍了嗎兩個部分我們對人口對策除了多補助之外我們還有減負擔
transcript.whisperx[376].start 10972.131
transcript.whisperx[376].end 10992.044
transcript.whisperx[376].text 還有多彈性還有減壓力不是那對於就是說現在社會其他的國家世界國家我們可以去吸引吸取這些已經合法代理孕母制度的國家他們執行之後對整個
transcript.whisperx[377].start 10993.704
transcript.whisperx[377].end 11021.129
transcript.whisperx[377].text 自主權、社會價值、風險移轉有沒有值得我們可以學習的我希望會不會能夠去學習這一步從2018年到2025年政府為了處理少子女化的問題公編列了這個數字你可以查5931億但是台灣生育仍然是全世界倒數第一名近期是0.65你知道穩定人口數是要1.2所以等於我可以這樣講6000億如同石沉大海
transcript.whisperx[378].start 11021.889
transcript.whisperx[378].end 11043.039
transcript.whisperx[378].text 石沉大海那我這樣說並不誇張部長你看這張圖你就知道了所以院長不好意思院長這張圖每個人都熟悉這張圖人口直直落就是花錢就如石沉大海院長台灣勞工平均薪資4.8萬但是有70%的人低於平均
transcript.whisperx[379].start 11044.019
transcript.whisperx[379].end 11070.602
transcript.whisperx[379].text 那很多人都不敢生養小孩喔那就是怕陷入這個經濟的困境殷董你看到這種雪崩式的這個出生人口數我想請問你你有感覺嗎你害怕嗎你擔心嗎你有沒有感覺我們在2024年520之後就重新檢驗台灣的人口政策那麼到去年底我們再度發現比我們預期的狀況還要快速的往下降所以我們去年底就開始研究人口對策一個新的戰略
transcript.whisperx[380].start 11071.322
transcript.whisperx[380].end 11087.419
transcript.whisperx[380].text 還有一件事因為政府一直在誇耀經濟成長率今年應該是高達8%我昨天看到還有一些說第一季有13點多但是我刻意問了我身邊的人包括立法院的購物車司機議事人員我過去的同事我問了很多人
transcript.whisperx[381].start 11088.14
transcript.whisperx[381].end 11112.952
transcript.whisperx[381].text 他們不斷對你所謂的政府所謂的經濟成長率無感而且還說物價一直上漲我們的生活困難度越來越高所以院長試問如果他們都感覺自己養不好自己養不活自己那年輕世代誰敢生養小孩呢所以當政府在誇說經濟成長率一直提高那基層卻感覺生活是越來越困難你知道這樣會引起人民的反感
transcript.whisperx[382].start 11116.937
transcript.whisperx[382].end 11128.671
transcript.whisperx[382].text 從去年去年到現在尤其這三個月以來我們穩定我們的物價政府做了許多的努力所以物價CPI還是維持在單月都可能在2以下您可以學我一樣去問
transcript.whisperx[383].start 11130.053
transcript.whisperx[383].end 11146.609
transcript.whisperx[383].text 我知道 我完全了解台灣的財富我問過幾個專家台灣的財富有50%以上有人說60%以上是集中在這個20萬到30萬人也就是1%那如果扣掉 院長麻煩你聽清楚我的問題如果扣掉AI跟半導體產業的貢獻
transcript.whisperx[384].start 11148.331
transcript.whisperx[384].end 11165.587
transcript.whisperx[384].text 那麼經濟成長率大概剩多少呢我是不是請院長拜託院長能夠責成主計總署將這個AI半導體的產業貢獻先排除然後再告訴我們這些移下來的這個去年排除高科技我們還有2.7%左右排除高科技那還是略高於其他的國家
transcript.whisperx[385].start 11167.209
transcript.whisperx[385].end 11181.35
transcript.whisperx[385].text 院長麻煩你把這個數字跟計算方式用正式公文給我主計總數有現成的資料我可以提供給委員我們需要這個資料因為這麼少數人有感這麼多人無感你真的要考慮每一個人的感受
transcript.whisperx[386].start 11182.031
transcript.whisperx[386].end 11198.427
transcript.whisperx[386].text 那之前出生率一直掉尾巴的男孩去年的生育率只跌回升增加到3.6%這張圖你看他往上翹那和生育率高度相關的這個結婚率也上升喔結婚率
transcript.whisperx[387].start 11199.789
transcript.whisperx[387].end 11219.963
transcript.whisperx[387].text 我們大家都想知道南韓做對了什麼那除了增加當然您剛剛提到的育嬰津貼、育嬰假這些我們都有我知道可是南韓在去年6月他宣布怎麼樣呢他宣布他進入人口國家緊急狀態他那時候還有0.72我們近期才0.650.72就宣布國家進入緊急狀態他成立一個國家級的指揮中心
transcript.whisperx[388].start 11226.397
transcript.whisperx[388].end 11244.645
transcript.whisperx[388].text 然後增加生育宅的供應量你殖民免稅額提高然後提高男性的賠產價同事分攤業務的補貼因為你請假那同事要分攤業務還有有善育兒的企業的獎勵等等他的意思是讓整個社會來支持生育
transcript.whisperx[389].start 11245.365
transcript.whisperx[389].end 11268.479
transcript.whisperx[389].text 用整個社會 南韓在2024年少子化的對策報告中檢討他過去發放的育兒津貼的思維他用全方位的方式來改善結構性的問題讓生育變成不是個懲罰 是個優惠他們有列出三件事情他們認為是造成堵卻生育的原因 其實跟台灣很像一個就是房價 一個就是職涯中斷
transcript.whisperx[390].start 11269.68
transcript.whisperx[390].end 11289.023
transcript.whisperx[390].text 就是因為你要照顧小孩等等那你的職業還中斷嘛第三個就是生活成本高其實跟台灣是非常相像的那我們再來看台灣過去台灣十年的初結婚率這個有它的定義也在下跌喔那去年111人力銀行做了調查有八成的人表示
transcript.whisperx[391].start 11289.884
transcript.whisperx[391].end 11310.868
transcript.whisperx[391].text 低薪高房價讓他們不敢結婚育兒那我們再看另外一個數字叫做去年台灣的房價所得比院長你知道房價所得比我是採用內政部的公式就是房價總價然後除以可支配的這個所得我們也是繼續攀升啦這個越高當然越恐怖啦院長你有掌握台灣跟先進國家這些數字嗎有或沒有
transcript.whisperx[392].start 11312.328
transcript.whisperx[392].end 11334.319
transcript.whisperx[392].text 我下面給你聽台灣在已開發國家非常的高我們大概是21到2525一定是台北韓國是22新加坡22到23日本是11到12英國德國是8到9法國加拿大是10美國是3到5那根據世界銀行跟這個國際住宅研究合理是3到5偏高是5到8
transcript.whisperx[393].start 11335.459
transcript.whisperx[393].end 11358.335
transcript.whisperx[393].text 負擔沉重價8到10嚴重失衡是大於10嚴重失衡是大於10我們台灣的平均是21到25這個非常非常失衡嚴重年輕人看不到未來當然他不要有下一代所以院長南韓也是高房價國家剛剛我也念到數字那這次南韓經驗非常清楚他20年來殺的錢是多少呢360兆韓元相當於7.5兆的這個
transcript.whisperx[394].start 11361.775
transcript.whisperx[394].end 11382.711
transcript.whisperx[394].text 新台幣但是各種補貼都沒有用啊所以重點說怎麼樣讓社會有一個安心生養的氛圍整個社會讓我們安心生養這個氛圍不是讓生意成為一種懲罰或是說讓這個補貼成為一種好像補償金這個概念是不能存在的那我們談到房價政府一直說要打房
transcript.whisperx[395].start 11383.652
transcript.whisperx[395].end 11400.384
transcript.whisperx[395].text 那個院長你也不會否認嘛本來在這一屆的總統競選的時候說以過去的基礎再增加大概13萬戶左右的社會住宅那現在是跳票我們看不到這個部分打房決心跟對年輕人的支持南韓祭出了非常嚴格的打房政策
transcript.whisperx[396].start 11401.044
transcript.whisperx[396].end 11416.953
transcript.whisperx[396].text 他對於持有多房的官員他禁止參加房市政策的討論而且韓總統把自己的公寓低價賣出去了你知道這種做法就是在告訴他們的人民說政府是玩真的
transcript.whisperx[397].start 11418.474
transcript.whisperx[397].end 11440.771
transcript.whisperx[397].text 院長人性在這個政治環境裡面就會發揮到極致了就是當你每一個人看到新規或是新法的時候第一個就會想說這對我是好還是壞對我是有利還是有弊這是難免人性難免的所以為什麼我們做很多政策要排除所既得利益者而且政府官員要
transcript.whisperx[398].start 11441.932
transcript.whisperx[398].end 11449.46
transcript.whisperx[398].text 以身作則才有效用所以院長政府的打房學金真的在嗎在哪裡國人還看不到
transcript.whisperx[399].start 11450.106
transcript.whisperx[399].end 11472.709
transcript.whisperx[399].text 是 我也應該記得這個中央銀行有提出了七波的打草房的政策現在還在持續當中對房市有起碼的穩定另外我們也推出了至少穩定在現在這個階段那我們也推出了親安 新親安等等的策略那現在我們又從社會住宅衍生出青年住宅以及婚育宅就是希望給年輕人更多一層的保障
transcript.whisperx[400].start 11474.071
transcript.whisperx[400].end 11485.627
transcript.whisperx[400].text 時間有限 院長您說穩定 您甚至還不敢說有開始下降我只要告訴你說 那麼多年了 那麼久了就算有下降 您剛剛說是穩定而已就算有下降也無感了 因為太久了
transcript.whisperx[401].start 11486.644
transcript.whisperx[401].end 11505.435
transcript.whisperx[401].text 那個漲幅實在太大我們希望社會的經濟是穩穩的來做調整而不是起伏太大這樣對誰都沒有實質上的好處的穩穩的來穩穩的操控那我們希望這個年輕人可以得到更多的支持我們是嚴重失衡嘛在國際的標準我們是嚴重失衡人家是大於20嘛
transcript.whisperx[402].start 11506.135
transcript.whisperx[402].end 11529.214
transcript.whisperx[402].text 好 過年前賴總統說要保護這個民間的茶區民間 南投的民間鄉那反對興建焚化爐這是賴總統講的喔但是年後3月15號他說南投縣的垃圾要採雞尾酒療法可是沒有人懂這個是什麼意思他就是一個多重方式 多元化的解決我要跟你說一些重要的資料4月16日農業部陳部長回答這個民間的焚化爐的內容
transcript.whisperx[403].start 11533.638
transcript.whisperx[403].end 11560.392
transcript.whisperx[403].text 他說焚化爐的場址現在都位於特定農地區農業區那除非特殊情況是不可以改做其他用途而且他說我還沒有收到南投縣政府的農地變更申請也就是說農業部基本上是不同意農地變更的他跟賴總統的態度一樣就是說不贊成民間焚化爐的設立那既然如此那反對民間焚化爐的話這個清楚賴總統跟農業部為什麼財政部
transcript.whisperx[404].start 11564.013
transcript.whisperx[404].end 11573.219
transcript.whisperx[404].text 國產署去年3月20號以行政院名義你看左邊用行政院名義核定給南投縣政府7.5公頃的國有土地為什麼還不撤銷
transcript.whisperx[405].start 11574.771
transcript.whisperx[405].end 11594.796
transcript.whisperx[405].text 這樣子行政院是要跟總統做對嗎縣政府提出的跟財政部提出是用促參的方式的條文來提出那這要怎麼使用的用途現在縣政府還在跟地方說明他沒有提出來所以現在全責在縣政府他提出來之後農業部就會依照特定農業區使用的限制來做定奪
transcript.whisperx[406].start 11595.576
transcript.whisperx[406].end 11620.91
transcript.whisperx[406].text 現在一切的活動包括他啟動純化爐的環評包括他啟動篡球界定會議全部都根源於這封信就是行政院的核准談你知道這個核准談讓農民居民多辛苦嗎大熱天要去抗爭然後要去面對南投縣環保局無理的刁難跟密集開會他根本沒辦法回家好好工作生活農民居民他每天都要工作
transcript.whisperx[407].start 11621.73
transcript.whisperx[407].end 11639.589
transcript.whisperx[407].text 所以你要不要撤銷這個核准函呢這個核准函就是讓他就一直做下去啦現在的權限是在地方政府他只要依照他現在的使用目的提出的時候我們的農業部依照特定農業區另外環境部各部會也會來做最後的訂定農業部的態度是非常清楚的你不要撤銷就對了啦
transcript.whisperx[408].start 11642.692
transcript.whisperx[408].end 11656.599
transcript.whisperx[408].text 不是 他沒有提出來 我們現在沒案可以撤銷啊你跟院長 你跟總統的意見是不一樣好 我跟你講 我請你看一下10秒鐘的一張影片 這是民先將的這個環評在範疇界定會議室已經出現一堆程序問題了好 請院長看一下10秒鐘的影片我們剛剛有提到我們是不是想要跟這些議事進行開發單位不跟他講話
transcript.whisperx[409].start 11669.281
transcript.whisperx[409].end 11685.666
transcript.whisperx[409].text 因為我要指的就是說在沒有討論替代方案之前開發單位代表也就是南投縣環保局局長李毅書他竟然指揮會議的主席說我們下午的會議議程是什麼然後這種讓地方政府求援兼裁判
transcript.whisperx[410].start 11686.466
transcript.whisperx[410].end 11687.807
transcript.whisperx[410].text 所以我的重點在這個地方 院長
transcript.whisperx[411].start 11709.165
transcript.whisperx[411].end 11734.564
transcript.whisperx[411].text 院長你能不能承諾地方政府環保局的開發案不宜自己求援兼裁判不宜自己來做評審是不是要拉回環境部拉回第三方由中央政府來審理呢因為這是最基本的利益衝突跟迴避啊可以嗎院長你可以承諾嗎有些該屬於地方層級完成的他必須要大的層級來處理你聽到我這樣講嗎就是自家
transcript.whisperx[412].start 11737.046
transcript.whisperx[412].end 11751.289
transcript.whisperx[412].text 報告委員環天法現在的規定類似焚化爐這個事件的確是地方在審但是我們也會觀察這次的事件如果說他未來有違法的地方我們也會考慮要修法收回來我在這裡講基本的原則啊兩位院長部長
transcript.whisperx[413].start 11752.37
transcript.whisperx[413].end 11781.093
transcript.whisperx[413].text 自己家開發自己來審查求員兼裁判這個你們就要處理啊應該要壞這個是基本原則啊不是你在看他公不公平合不合理啊居民都說不合理我幫他們開了五次記者會啦你們都有派人來啊我們也都有把委員的意見來喊轉南投縣政府院長那我回答院長院長你剛剛覺得我講話沒有道理嗎你自己求員兼裁判你家要開發那你家自己整理你覺得這樣對嗎是但環評的程序也是行之多年
transcript.whisperx[414].start 11784.335
transcript.whisperx[414].end 11806.794
transcript.whisperx[414].text 他環評的程序行事多年,如果當中出現了問題,中央地方該來檢討的,我們就會檢討這樣你就是覺得說就是自己去做啦,不然中央政府需要中央政府嗎?他如果是在特定農業區,到時候農業部一定會有清楚的態度農業部有多少利益迴避的嗎?每個都是這樣子的你們要懂得什麼叫基本的利益迴避跟這個衝突跟迴避的問題
transcript.whisperx[415].start 11808.035
transcript.whisperx[415].end 11836.242
transcript.whisperx[415].text 好我現在請兩位就是部長還有院長你好好思考我提一個原則性的問題好有請勞動部洪部長我想請洪部長你一邊來我一邊在念我的題目根據勞基謝謝謝謝部長那個洪部長根據勞基法的規定勞工加班費會依據加班時數有每個小時1.34 1.67的倍率的計算方法我請教洪部長為什麼加班費要用倍率去計算
transcript.whisperx[416].start 11838.696
transcript.whisperx[416].end 11845.724
transcript.whisperx[416].text 主要是避免勞工會有超時加班工作然後會造成這個身體上面或過勞的情況
transcript.whisperx[417].start 11846.69
transcript.whisperx[417].end 11873.615
transcript.whisperx[417].text 我想大概ok啦八九十分ok啦補償勞工健康的耗損那避免資方濫用加班那鼓勵正常的工時就是所以才有這個倍數嘛好那謝謝部長我現在請問左院長那同樣道理難道公務員加班就不會過勞嗎就不會犧牲健康了嗎那院長你要不要支持調整加班費率讓公務員的辛苦能夠獲得回報啊
transcript.whisperx[418].start 11875.038
transcript.whisperx[418].end 11890.424
transcript.whisperx[418].text 跟委員報告公務員的禁用啦等等包括他的全續考期跟勞工是不一樣的我們對公務員有其他的各種不同的福利措施我在談的是最基本的東西對他的身體對他的加班是不是合理
transcript.whisperx[419].start 11891.064
transcript.whisperx[419].end 11894.128
transcript.whisperx[419].text 那為什麼勞工的加班費可以有這樣的倍數剛剛部長也回答了我也在做補充了那為什麼公務員不可以呢
transcript.whisperx[420].start 11908.81
transcript.whisperx[420].end 11928.837
transcript.whisperx[420].text 為什麼公務員就沒有備註 這請你考慮嘛對 公務員還是有限制的啊健康跟犧牲 每天每月不得超過的時數對 公務員還是有限制的啊每人加班的時數 每天也不能超過然後每個月還限制四十幾個小時咧那公務員每月不得超過二十小時 這個更嚴的限制啊
transcript.whisperx[421].start 11929.437
transcript.whisperx[421].end 11949.149
transcript.whisperx[421].text 院長就是說那個思考而且你在520的時候也說體育軍公教人員研議調薪我這幾天也有看到新聞那我就請問那公務員這個調薪部分你的進度在哪裡你知道公務員現在的報考率很低然後甚至這個留任率也很低不再像以前我們講的那個鐵飯碗了耶
transcript.whisperx[422].start 11951.104
transcript.whisperx[422].end 11980.039
transcript.whisperx[422].text 那你這個進度呢?這兩天有新聞啊你說大概調薪的東西這個有一些演繹啊公務員調薪有兩個時機一個就是一月一號開始用年度預算那如果現在公務員要在年中間調薪的話那我要請大院能夠支持追加預算你再看我一個數字齁就是你們審議軍公教人員待遇調整條例草案齁那個上面你看放多久了嘛那個感覺就是一再拖延一再跳票嘛就是說這個草案你什麼時候送到這個立法院來?
transcript.whisperx[423].start 11981.239
transcript.whisperx[423].end 12008.836
transcript.whisperx[423].text 這個草案人事總署還在做最後的意見的總和還在吧對不對還在處理啊那這個好謝謝洪部長石部長你慢慢上來我在這一屆上任的第二天就去拜訪你我談到新藥納保納入健保這個審議進度要透明的議題那在多次的催促之下也謝謝你這個網站誕生了但是我收到一些民團的反應我想先請問部長
transcript.whisperx[424].start 12010.116
transcript.whisperx[424].end 12023.865
transcript.whisperx[424].text 這個網站是不是公開透明 可受公平的會擔心被查閱嗎 檢核嗎就是您公布的那個網站對 可以查 大家都可以查那現在問題是說已經生效全部下架你覺得合理嗎已經生效的部分全部下架
transcript.whisperx[425].start 12025.547
transcript.whisperx[425].end 12042.126
transcript.whisperx[425].text 這個資料應該是越完整越好啊你知道英國NICE也是都留在那裡啊隨時可靠公民錢可以做比較啊那為什麼一過來就要下架呢跟委員報告因為它這個是屬於幾戶進度啦所以它進度完了就不在這上面它已經納入健保了我有三個問題喔因為時間有限第一個
transcript.whisperx[426].start 12045.589
transcript.whisperx[426].end 12067.263
transcript.whisperx[426].text 為什麼已經通過了下架這個要保...NICE你不是學NICE嗎你還到去考察了第二個現在網站很陽春我希望在審核進度這個時間點能夠連結一些資料包括HTA醫療科技包括包括供你會記錄甚至病人反應的意見也可以做一些連結那第三個就是是不是可能藥品跟醫材都要試用這個原則那個醫...
transcript.whisperx[427].start 12081.469
transcript.whisperx[427].end 12100.932
transcript.whisperx[427].text 好 謝謝好 謝謝陳昭志委員質詢謝謝卓院長 相關部會首長備詢 謝謝接下來曾嘉斌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抱怨會
transcript.whisperx[428].start 12102.179
transcript.whisperx[428].end 12115.071
transcript.whisperx[428].text 社會福利及衛生環境組諮詢已經詢答完畢本會期至2月24日起對行政院院長施政方針及施政報告進行諮詢已經於今天詢答完畢
transcript.whisperx[429].start 12116.941
transcript.whisperx[429].end 12132.659
transcript.whisperx[429].text 謝謝卓院長以及所有辛苦的相關部會首長列席的答詢在質詢結束之前我們請各位委員都坐好好嗎各位委員坐定位我們再請卓院長來說幾句話現在有請卓院長
transcript.whisperx[430].start 12144.398
transcript.whisperx[430].end 12170.404
transcript.whisperx[430].text 韓院長 江副院長各位委員先進本會期就是第十一屆第五會期從2月24號開始到現在進行將近三個月的總視訊時間容許本人在這裡向大院表達由衷的感謝在總視訊當中我們聆聽到朝野各委員先進提供給行政院非常多的建言
transcript.whisperx[431].start 12171.144
transcript.whisperx[431].end 12194.37
transcript.whisperx[431].text 也讓行政院的未來的施政有更清楚的方向這個部分我們會充分的在未來的這個政策的製政過程當中與納入跟考量那麼在答詢過程當中容許有不甚周到之處不甚完整之處我們會以書面以及其他的形式來向各位委員宣敬再做充分的說明
transcript.whisperx[432].start 12196.069
transcript.whisperx[432].end 12218.714
transcript.whisperx[432].text 我們一直認為國家現在正處於最好的時代當然也是面對最多考驗的時代站在AI的浪潮讓我們每天都感受到全世界對台灣的重視無論是我們整個經濟體的表現以及即將來的Computex的各種的展示都會讓台灣再度的備受國際的注目但是
transcript.whisperx[433].start 12219.674
transcript.whisperx[433].end 12235.919
transcript.whisperx[433].text 空前的挑戰也是有的我們從世界經貿關稅的新秩序的談判以及到地緣政治的不同的侵擾乃至於中東衝突事件都讓我們遭受一次又一次不同的衝擊那我們也在這個衝擊當中持續站穩的腳步
transcript.whisperx[434].start 12238.76
transcript.whisperx[434].end 12256.106
transcript.whisperx[434].text 我要再向各位先進再次的報告維護國家安全跟強化國防實力跟我們發展經濟跟科技是同等的作用我們必須用國家的主權國家的安全來保障我們經濟發展的成果所以我們會全力來做到各種的面向
transcript.whisperx[435].start 12257.026
transcript.whisperx[435].end 12275.893
transcript.whisperx[435].text 所以希望各朝野各黨團所有的委員先進能夠不分彼此不分黨派不分朝野的立場能同時來支持行政院關於經濟發展科技發展的各種政策跟預算也支持我們在維護國家主權跟安全特別
transcript.whisperx[436].start 12276.693
transcript.whisperx[436].end 12291.966
transcript.whisperx[436].text 均購的相關預算也支持未來我們針對台灣人口對策新戰略所提出的部分的預算的需求在今年或在明年能夠分別在不同的時程來展開各種的部署
transcript.whisperx[437].start 12292.591
transcript.whisperx[437].end 12309.525
transcript.whisperx[437].text 那麼為了這樣子有效的來全面的規劃我希望未來希望我們的特別軍購的國防特別預算大院能夠鼎力的支持那麼還在審的今年度的中央政府總預算也能夠加速整個審查的過程
transcript.whisperx[438].start 12310.245
transcript.whisperx[438].end 12331.408
transcript.whisperx[438].text 然而總諮詢結束之後會進入到非常密集的法律案的審查階段所以我們已經提出了行政院在現在的優先法案有財政一法、預算二法、住宅三法、環境四法、社福五法、組織六法、產經七法以及國安十三法
transcript.whisperx[439].start 12332.486
transcript.whisperx[439].end 12357.474
transcript.whisperx[439].text 再加上我剛剛所說的特別軍購的特別預算中央政府總預算以及人口對策新戰略的相關的預算都會請大院鼎力的支持那這些也會涉及未來許多相關法規的修正行政院也會陸續的提出這些都是攸關國人生計跟民生以及社會福利國家安全的各方面的發展
transcript.whisperx[440].start 12358.234
transcript.whisperx[440].end 12374.529
transcript.whisperx[440].text 除了大家的鼎力支持之外我們更有希望行政立法兩院共同回應國人高度的期盼讓我們真正來打造會期開始我說的一個更開放更富強而且更安全的國家再次向
transcript.whisperx[441].start 12375.806
transcript.whisperx[441].end 12394.6
transcript.whisperx[441].text 韓院長 江副院長 各位委員先生至上最高的謝意也謝謝所有大院的工作同仁們的辛苦我們在這裡雖然結束總諮詢但是我們彼此的努力繼續的展開國人還在看整個政府往前推定的力量有多大人民的幸福的道路就有多長謝謝大家 感謝各位
transcript.whisperx[442].start 12396.206
transcript.whisperx[442].end 12424.274
transcript.whisperx[442].text 好 謝謝左院長的報告與說明我們現在做以下決定一 將各委員會發言記錄及書面質詢函送行政院請就位答覆的部分予以書面答覆二 已經提出書面質詢尚未登載公報者一律補刊報告委員會依照黨團共識我們本次會議不處理臨時提案謝謝在場所有各位委員的一起參與我們今天的總質詢本次會議進行到此為止現在散會