iVOD / 16589

Field Value
IVOD_ID 16589
IVOD_URL https://ivod.ly.gov.tw/Play/Full/1M/16589
日期 2025-04-15
會議資料.會議代碼 院會-11-3-7
會議資料.會議代碼:str 第11屆第3會期第7次會議
會議資料.屆 11
會議資料.會期 3
會議資料.會次 7
會議資料.種類 院會
會議資料.標題 第11屆第3會期第7次會議
影片種類 Full
開始時間 2025-04-15T08:30:28+08:00
結束時間 2025-04-15T16:24:00+08:00
影片長度 07:53:32
支援功能[0] ai-transcript
video_url https://h264media01.ly.gov.tw:443/vod_1/_definst_/mp4:1M/8398b1826590a6093c291d04453898fc313f24779fd214cf4af80a8cb003b9ba8cb60dfd789487685ea18f28b6918d91.mp4/playlist.m3u8
會議時間 2025-04-15T09:00:00+08:00
會議名稱 第11屆第3會期第7次會議(事由:一、覆議案之處理事項(4月11日上午)。二、行政院院長提出針對美國關稅政策因應作為專案報告並備質詢(4月11日下午)。三、對行政院院長提出施政方針及施政報告繼續質詢(4月15日)。四、4月11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 08:30:28 - 16:24:00
transcript.pyannote[0].speaker SPEAKER_07
transcript.pyannote[0].start 1790.45159375
transcript.pyannote[0].end 1799.80034375
transcript.pyannote[1].speaker SPEAKER_07
transcript.pyannote[1].start 1800.32346875
transcript.pyannote[1].end 1805.26784375
transcript.pyannote[2].speaker SPEAKER_07
transcript.pyannote[2].start 1805.62221875
transcript.pyannote[2].end 1810.81971875
transcript.pyannote[3].speaker SPEAKER_01
transcript.pyannote[3].start 1811.95034375
transcript.pyannote[3].end 1828.90971875
transcript.pyannote[4].speaker SPEAKER_01
transcript.pyannote[4].start 1829.31471875
transcript.pyannote[4].end 1834.24221875
transcript.pyannote[5].speaker SPEAKER_07
transcript.pyannote[5].start 1834.59659375
transcript.pyannote[5].end 1841.70096875
transcript.pyannote[6].speaker SPEAKER_07
transcript.pyannote[6].start 1842.57846875
transcript.pyannote[6].end 1843.89471875
transcript.pyannote[7].speaker SPEAKER_25
transcript.pyannote[7].start 1850.91471875
transcript.pyannote[7].end 1851.91034375
transcript.pyannote[8].speaker SPEAKER_07
transcript.pyannote[8].start 1853.29409375
transcript.pyannote[8].end 1854.03659375
transcript.pyannote[9].speaker SPEAKER_32
transcript.pyannote[9].start 1860.44909375
transcript.pyannote[9].end 1862.30534375
transcript.pyannote[10].speaker SPEAKER_32
transcript.pyannote[10].start 1862.96346875
transcript.pyannote[10].end 1864.26284375
transcript.pyannote[11].speaker SPEAKER_32
transcript.pyannote[11].start 1864.85346875
transcript.pyannote[11].end 1867.89096875
transcript.pyannote[12].speaker SPEAKER_07
transcript.pyannote[12].start 1868.34659375
transcript.pyannote[12].end 1870.48971875
transcript.pyannote[13].speaker SPEAKER_16
transcript.pyannote[13].start 1882.55534375
transcript.pyannote[13].end 1883.29784375
transcript.pyannote[14].speaker SPEAKER_32
transcript.pyannote[14].start 1884.14159375
transcript.pyannote[14].end 1885.62659375
transcript.pyannote[15].speaker SPEAKER_16
transcript.pyannote[15].start 1885.99784375
transcript.pyannote[15].end 1887.06096875
transcript.pyannote[16].speaker SPEAKER_32
transcript.pyannote[16].start 1888.34346875
transcript.pyannote[16].end 1890.18284375
transcript.pyannote[17].speaker SPEAKER_32
transcript.pyannote[17].start 1890.40221875
transcript.pyannote[17].end 1890.55409375
transcript.pyannote[18].speaker SPEAKER_32
transcript.pyannote[18].start 1891.17846875
transcript.pyannote[18].end 1892.64659375
transcript.pyannote[19].speaker SPEAKER_16
transcript.pyannote[19].start 1891.33034375
transcript.pyannote[19].end 1891.63409375
transcript.pyannote[20].speaker SPEAKER_16
transcript.pyannote[20].start 1891.81971875
transcript.pyannote[20].end 1893.96284375
transcript.pyannote[21].speaker SPEAKER_32
transcript.pyannote[21].start 1894.30034375
transcript.pyannote[21].end 1894.63784375
transcript.pyannote[22].speaker SPEAKER_32
transcript.pyannote[22].start 1895.97096875
transcript.pyannote[22].end 1898.26596875
transcript.pyannote[23].speaker SPEAKER_32
transcript.pyannote[23].start 1898.78909375
transcript.pyannote[23].end 1907.80034375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 1902.36659375
transcript.pyannote[24].end 1902.75471875
transcript.pyannote[25].speaker SPEAKER_32
transcript.pyannote[25].start 1908.15471875
transcript.pyannote[25].end 1917.01409375
transcript.pyannote[26].speaker SPEAKER_32
transcript.pyannote[26].start 1917.21659375
transcript.pyannote[26].end 1917.65534375
transcript.pyannote[27].speaker SPEAKER_32
transcript.pyannote[27].start 1918.09409375
transcript.pyannote[27].end 1919.98409375
transcript.pyannote[28].speaker SPEAKER_32
transcript.pyannote[28].start 1920.87846875
transcript.pyannote[28].end 1921.85721875
transcript.pyannote[29].speaker SPEAKER_32
transcript.pyannote[29].start 1922.16096875
transcript.pyannote[29].end 1923.42659375
transcript.pyannote[30].speaker SPEAKER_32
transcript.pyannote[30].start 1925.56971875
transcript.pyannote[30].end 1926.46409375
transcript.pyannote[31].speaker SPEAKER_32
transcript.pyannote[31].start 1927.29096875
transcript.pyannote[31].end 1928.92784375
transcript.pyannote[32].speaker SPEAKER_32
transcript.pyannote[32].start 1929.75471875
transcript.pyannote[32].end 1932.64034375
transcript.pyannote[33].speaker SPEAKER_32
transcript.pyannote[33].start 1932.92721875
transcript.pyannote[33].end 1935.62721875
transcript.pyannote[34].speaker SPEAKER_32
transcript.pyannote[34].start 1935.76221875
transcript.pyannote[34].end 1943.23784375
transcript.pyannote[35].speaker SPEAKER_32
transcript.pyannote[35].start 1943.42346875
transcript.pyannote[35].end 1957.24409375
transcript.pyannote[36].speaker SPEAKER_32
transcript.pyannote[36].start 1957.68284375
transcript.pyannote[36].end 1958.91471875
transcript.pyannote[37].speaker SPEAKER_32
transcript.pyannote[37].start 1959.48846875
transcript.pyannote[37].end 1960.07909375
transcript.pyannote[38].speaker SPEAKER_32
transcript.pyannote[38].start 1960.70346875
transcript.pyannote[38].end 1963.30221875
transcript.pyannote[39].speaker SPEAKER_32
transcript.pyannote[39].start 1963.60596875
transcript.pyannote[39].end 1969.44471875
transcript.pyannote[40].speaker SPEAKER_32
transcript.pyannote[40].start 1969.93409375
transcript.pyannote[40].end 1972.66784375
transcript.pyannote[41].speaker SPEAKER_32
transcript.pyannote[41].start 1973.00534375
transcript.pyannote[41].end 1985.88096875
transcript.pyannote[42].speaker SPEAKER_32
transcript.pyannote[42].start 1986.62346875
transcript.pyannote[42].end 1987.73721875
transcript.pyannote[43].speaker SPEAKER_32
transcript.pyannote[43].start 1988.10846875
transcript.pyannote[43].end 1991.48346875
transcript.pyannote[44].speaker SPEAKER_32
transcript.pyannote[44].start 1992.86721875
transcript.pyannote[44].end 1999.93784375
transcript.pyannote[45].speaker SPEAKER_32
transcript.pyannote[45].start 2000.68034375
transcript.pyannote[45].end 2001.23721875
transcript.pyannote[46].speaker SPEAKER_16
transcript.pyannote[46].start 2002.18221875
transcript.pyannote[46].end 2002.31721875
transcript.pyannote[47].speaker SPEAKER_16
transcript.pyannote[47].start 2002.62096875
transcript.pyannote[47].end 2006.40096875
transcript.pyannote[48].speaker SPEAKER_16
transcript.pyannote[48].start 2006.78909375
transcript.pyannote[48].end 2007.37971875
transcript.pyannote[49].speaker SPEAKER_16
transcript.pyannote[49].start 2007.71721875
transcript.pyannote[49].end 2010.67034375
transcript.pyannote[50].speaker SPEAKER_16
transcript.pyannote[50].start 2011.05846875
transcript.pyannote[50].end 2011.68284375
transcript.pyannote[51].speaker SPEAKER_16
transcript.pyannote[51].start 2012.27346875
transcript.pyannote[51].end 2018.66909375
transcript.pyannote[52].speaker SPEAKER_16
transcript.pyannote[52].start 2018.92221875
transcript.pyannote[52].end 2021.38596875
transcript.pyannote[53].speaker SPEAKER_16
transcript.pyannote[53].start 2021.77409375
transcript.pyannote[53].end 2026.41471875
transcript.pyannote[54].speaker SPEAKER_16
transcript.pyannote[54].start 2026.70159375
transcript.pyannote[54].end 2031.10596875
transcript.pyannote[55].speaker SPEAKER_16
transcript.pyannote[55].start 2031.51096875
transcript.pyannote[55].end 2032.01721875
transcript.pyannote[56].speaker SPEAKER_16
transcript.pyannote[56].start 2032.18596875
transcript.pyannote[56].end 2036.18534375
transcript.pyannote[57].speaker SPEAKER_16
transcript.pyannote[57].start 2036.30346875
transcript.pyannote[57].end 2040.67409375
transcript.pyannote[58].speaker SPEAKER_16
transcript.pyannote[58].start 2040.79221875
transcript.pyannote[58].end 2045.73659375
transcript.pyannote[59].speaker SPEAKER_16
transcript.pyannote[59].start 2045.97284375
transcript.pyannote[59].end 2048.65596875
transcript.pyannote[60].speaker SPEAKER_16
transcript.pyannote[60].start 2048.89221875
transcript.pyannote[60].end 2054.30909375
transcript.pyannote[61].speaker SPEAKER_16
transcript.pyannote[61].start 2054.61284375
transcript.pyannote[61].end 2056.21596875
transcript.pyannote[62].speaker SPEAKER_16
transcript.pyannote[62].start 2056.73909375
transcript.pyannote[62].end 2057.58284375
transcript.pyannote[63].speaker SPEAKER_16
transcript.pyannote[63].start 2057.63346875
transcript.pyannote[63].end 2061.71721875
transcript.pyannote[64].speaker SPEAKER_16
transcript.pyannote[64].start 2061.81846875
transcript.pyannote[64].end 2064.51846875
transcript.pyannote[65].speaker SPEAKER_32
transcript.pyannote[65].start 2064.83909375
transcript.pyannote[65].end 2079.16596875
transcript.pyannote[66].speaker SPEAKER_06
transcript.pyannote[66].start 2078.42346875
transcript.pyannote[66].end 2079.62159375
transcript.pyannote[67].speaker SPEAKER_06
transcript.pyannote[67].start 2080.00971875
transcript.pyannote[67].end 2081.19096875
transcript.pyannote[68].speaker SPEAKER_06
transcript.pyannote[68].start 2081.59596875
transcript.pyannote[68].end 2082.37221875
transcript.pyannote[69].speaker SPEAKER_06
transcript.pyannote[69].start 2082.69284375
transcript.pyannote[69].end 2084.19471875
transcript.pyannote[70].speaker SPEAKER_06
transcript.pyannote[70].start 2085.02159375
transcript.pyannote[70].end 2087.09721875
transcript.pyannote[71].speaker SPEAKER_25
transcript.pyannote[71].start 2087.23221875
transcript.pyannote[71].end 2087.55284375
transcript.pyannote[72].speaker SPEAKER_06
transcript.pyannote[72].start 2087.55284375
transcript.pyannote[72].end 2089.86471875
transcript.pyannote[73].speaker SPEAKER_06
transcript.pyannote[73].start 2089.98284375
transcript.pyannote[73].end 2096.29409375
transcript.pyannote[74].speaker SPEAKER_06
transcript.pyannote[74].start 2096.86784375
transcript.pyannote[74].end 2097.98159375
transcript.pyannote[75].speaker SPEAKER_06
transcript.pyannote[75].start 2098.13346875
transcript.pyannote[75].end 2101.03596875
transcript.pyannote[76].speaker SPEAKER_06
transcript.pyannote[76].start 2101.32284375
transcript.pyannote[76].end 2103.78659375
transcript.pyannote[77].speaker SPEAKER_06
transcript.pyannote[77].start 2104.19159375
transcript.pyannote[77].end 2119.98659375
transcript.pyannote[78].speaker SPEAKER_32
transcript.pyannote[78].start 2120.62784375
transcript.pyannote[78].end 2120.93159375
transcript.pyannote[79].speaker SPEAKER_32
transcript.pyannote[79].start 2121.55596875
transcript.pyannote[79].end 2123.39534375
transcript.pyannote[80].speaker SPEAKER_32
transcript.pyannote[80].start 2124.15471875
transcript.pyannote[80].end 2129.13284375
transcript.pyannote[81].speaker SPEAKER_32
transcript.pyannote[81].start 2129.63909375
transcript.pyannote[81].end 2132.54159375
transcript.pyannote[82].speaker SPEAKER_32
transcript.pyannote[82].start 2133.03096875
transcript.pyannote[82].end 2140.62471875
transcript.pyannote[83].speaker SPEAKER_32
transcript.pyannote[83].start 2140.97909375
transcript.pyannote[83].end 2147.25659375
transcript.pyannote[84].speaker SPEAKER_32
transcript.pyannote[84].start 2148.50534375
transcript.pyannote[84].end 2150.05784375
transcript.pyannote[85].speaker SPEAKER_16
transcript.pyannote[85].start 2150.05784375
transcript.pyannote[85].end 2152.96034375
transcript.pyannote[86].speaker SPEAKER_16
transcript.pyannote[86].start 2153.16284375
transcript.pyannote[86].end 2156.62221875
transcript.pyannote[87].speaker SPEAKER_16
transcript.pyannote[87].start 2157.09471875
transcript.pyannote[87].end 2165.29596875
transcript.pyannote[88].speaker SPEAKER_32
transcript.pyannote[88].start 2163.43971875
transcript.pyannote[88].end 2163.77721875
transcript.pyannote[89].speaker SPEAKER_32
transcript.pyannote[89].start 2165.56596875
transcript.pyannote[89].end 2174.40846875
transcript.pyannote[90].speaker SPEAKER_32
transcript.pyannote[90].start 2175.16784375
transcript.pyannote[90].end 2178.30659375
transcript.pyannote[91].speaker SPEAKER_32
transcript.pyannote[91].start 2178.88034375
transcript.pyannote[91].end 2180.39909375
transcript.pyannote[92].speaker SPEAKER_32
transcript.pyannote[92].start 2180.78721875
transcript.pyannote[92].end 2181.63096875
transcript.pyannote[93].speaker SPEAKER_32
transcript.pyannote[93].start 2182.13721875
transcript.pyannote[93].end 2182.74471875
transcript.pyannote[94].speaker SPEAKER_32
transcript.pyannote[94].start 2182.87971875
transcript.pyannote[94].end 2185.07346875
transcript.pyannote[95].speaker SPEAKER_06
transcript.pyannote[95].start 2186.25471875
transcript.pyannote[95].end 2195.75534375
transcript.pyannote[96].speaker SPEAKER_06
transcript.pyannote[96].start 2196.07596875
transcript.pyannote[96].end 2207.55096875
transcript.pyannote[97].speaker SPEAKER_32
transcript.pyannote[97].start 2208.15846875
transcript.pyannote[97].end 2209.96409375
transcript.pyannote[98].speaker SPEAKER_32
transcript.pyannote[98].start 2211.24659375
transcript.pyannote[98].end 2215.12784375
transcript.pyannote[99].speaker SPEAKER_06
transcript.pyannote[99].start 2213.40659375
transcript.pyannote[99].end 2220.05534375
transcript.pyannote[100].speaker SPEAKER_32
transcript.pyannote[100].start 2220.17346875
transcript.pyannote[100].end 2226.36659375
transcript.pyannote[101].speaker SPEAKER_32
transcript.pyannote[101].start 2226.65346875
transcript.pyannote[101].end 2228.10471875
transcript.pyannote[102].speaker SPEAKER_32
transcript.pyannote[102].start 2228.79659375
transcript.pyannote[102].end 2232.67784375
transcript.pyannote[103].speaker SPEAKER_32
transcript.pyannote[103].start 2233.63971875
transcript.pyannote[103].end 2234.66909375
transcript.pyannote[104].speaker SPEAKER_32
transcript.pyannote[104].start 2235.12471875
transcript.pyannote[104].end 2245.82346875
transcript.pyannote[105].speaker SPEAKER_32
transcript.pyannote[105].start 2246.53221875
transcript.pyannote[105].end 2247.34221875
transcript.pyannote[106].speaker SPEAKER_32
transcript.pyannote[106].start 2247.94971875
transcript.pyannote[106].end 2250.97034375
transcript.pyannote[107].speaker SPEAKER_32
transcript.pyannote[107].start 2251.17284375
transcript.pyannote[107].end 2253.16409375
transcript.pyannote[108].speaker SPEAKER_32
transcript.pyannote[108].start 2253.88971875
transcript.pyannote[108].end 2254.90221875
transcript.pyannote[109].speaker SPEAKER_32
transcript.pyannote[109].start 2255.39159375
transcript.pyannote[109].end 2260.38659375
transcript.pyannote[110].speaker SPEAKER_32
transcript.pyannote[110].start 2260.80846875
transcript.pyannote[110].end 2261.50034375
transcript.pyannote[111].speaker SPEAKER_32
transcript.pyannote[111].start 2261.71971875
transcript.pyannote[111].end 2265.56721875
transcript.pyannote[112].speaker SPEAKER_32
transcript.pyannote[112].start 2265.70221875
transcript.pyannote[112].end 2267.71034375
transcript.pyannote[113].speaker SPEAKER_16
transcript.pyannote[113].start 2265.93846875
transcript.pyannote[113].end 2266.29284375
transcript.pyannote[114].speaker SPEAKER_16
transcript.pyannote[114].start 2267.96346875
transcript.pyannote[114].end 2268.53721875
transcript.pyannote[115].speaker SPEAKER_32
transcript.pyannote[115].start 2267.99721875
transcript.pyannote[115].end 2268.30096875
transcript.pyannote[116].speaker SPEAKER_16
transcript.pyannote[116].start 2268.68909375
transcript.pyannote[116].end 2271.50721875
transcript.pyannote[117].speaker SPEAKER_16
transcript.pyannote[117].start 2271.70971875
transcript.pyannote[117].end 2272.75596875
transcript.pyannote[118].speaker SPEAKER_16
transcript.pyannote[118].start 2273.02596875
transcript.pyannote[118].end 2274.35909375
transcript.pyannote[119].speaker SPEAKER_16
transcript.pyannote[119].start 2274.59534375
transcript.pyannote[119].end 2277.31221875
transcript.pyannote[120].speaker SPEAKER_16
transcript.pyannote[120].start 2277.54846875
transcript.pyannote[120].end 2279.53971875
transcript.pyannote[121].speaker SPEAKER_16
transcript.pyannote[121].start 2279.99534375
transcript.pyannote[121].end 2280.51846875
transcript.pyannote[122].speaker SPEAKER_16
transcript.pyannote[122].start 2280.94034375
transcript.pyannote[122].end 2283.64034375
transcript.pyannote[123].speaker SPEAKER_16
transcript.pyannote[123].start 2283.87659375
transcript.pyannote[123].end 2284.61909375
transcript.pyannote[124].speaker SPEAKER_16
transcript.pyannote[124].start 2284.92284375
transcript.pyannote[124].end 2289.61409375
transcript.pyannote[125].speaker SPEAKER_32
transcript.pyannote[125].start 2289.34409375
transcript.pyannote[125].end 2293.20846875
transcript.pyannote[126].speaker SPEAKER_16
transcript.pyannote[126].start 2291.14971875
transcript.pyannote[126].end 2291.16659375
transcript.pyannote[127].speaker SPEAKER_16
transcript.pyannote[127].start 2291.21721875
transcript.pyannote[127].end 2296.95471875
transcript.pyannote[128].speaker SPEAKER_32
transcript.pyannote[128].start 2294.71034375
transcript.pyannote[128].end 2298.47346875
transcript.pyannote[129].speaker SPEAKER_32
transcript.pyannote[129].start 2298.79409375
transcript.pyannote[129].end 2302.69221875
transcript.pyannote[130].speaker SPEAKER_32
transcript.pyannote[130].start 2303.13096875
transcript.pyannote[130].end 2308.78409375
transcript.pyannote[131].speaker SPEAKER_32
transcript.pyannote[131].start 2309.05409375
transcript.pyannote[131].end 2309.56034375
transcript.pyannote[132].speaker SPEAKER_32
transcript.pyannote[132].start 2309.89784375
transcript.pyannote[132].end 2313.12096875
transcript.pyannote[133].speaker SPEAKER_32
transcript.pyannote[133].start 2321.25471875
transcript.pyannote[133].end 2321.67659375
transcript.pyannote[134].speaker SPEAKER_32
transcript.pyannote[134].start 2322.13221875
transcript.pyannote[134].end 2324.41034375
transcript.pyannote[135].speaker SPEAKER_32
transcript.pyannote[135].start 2325.50721875
transcript.pyannote[135].end 2326.65471875
transcript.pyannote[136].speaker SPEAKER_32
transcript.pyannote[136].start 2327.17784375
transcript.pyannote[136].end 2328.10596875
transcript.pyannote[137].speaker SPEAKER_32
transcript.pyannote[137].start 2329.00034375
transcript.pyannote[137].end 2330.33346875
transcript.pyannote[138].speaker SPEAKER_32
transcript.pyannote[138].start 2330.73846875
transcript.pyannote[138].end 2331.19409375
transcript.pyannote[139].speaker SPEAKER_32
transcript.pyannote[139].start 2331.70034375
transcript.pyannote[139].end 2336.52659375
transcript.pyannote[140].speaker SPEAKER_32
transcript.pyannote[140].start 2336.83034375
transcript.pyannote[140].end 2344.77846875
transcript.pyannote[141].speaker SPEAKER_32
transcript.pyannote[141].start 2345.01471875
transcript.pyannote[141].end 2346.44909375
transcript.pyannote[142].speaker SPEAKER_32
transcript.pyannote[142].start 2347.46159375
transcript.pyannote[142].end 2349.70596875
transcript.pyannote[143].speaker SPEAKER_32
transcript.pyannote[143].start 2350.98846875
transcript.pyannote[143].end 2352.38909375
transcript.pyannote[144].speaker SPEAKER_32
transcript.pyannote[144].start 2353.21596875
transcript.pyannote[144].end 2353.67159375
transcript.pyannote[145].speaker SPEAKER_32
transcript.pyannote[145].start 2354.53221875
transcript.pyannote[145].end 2362.63221875
transcript.pyannote[146].speaker SPEAKER_32
transcript.pyannote[146].start 2362.98659375
transcript.pyannote[146].end 2368.03221875
transcript.pyannote[147].speaker SPEAKER_32
transcript.pyannote[147].start 2368.96034375
transcript.pyannote[147].end 2370.37784375
transcript.pyannote[148].speaker SPEAKER_32
transcript.pyannote[148].start 2370.59721875
transcript.pyannote[148].end 2371.01909375
transcript.pyannote[149].speaker SPEAKER_32
transcript.pyannote[149].start 2371.96409375
transcript.pyannote[149].end 2372.36909375
transcript.pyannote[150].speaker SPEAKER_32
transcript.pyannote[150].start 2372.75721875
transcript.pyannote[150].end 2373.49971875
transcript.pyannote[151].speaker SPEAKER_32
transcript.pyannote[151].start 2374.47846875
transcript.pyannote[151].end 2375.23784375
transcript.pyannote[152].speaker SPEAKER_32
transcript.pyannote[152].start 2376.09846875
transcript.pyannote[152].end 2379.42284375
transcript.pyannote[153].speaker SPEAKER_32
transcript.pyannote[153].start 2380.46909375
transcript.pyannote[153].end 2385.12659375
transcript.pyannote[154].speaker SPEAKER_32
transcript.pyannote[154].start 2385.83534375
transcript.pyannote[154].end 2387.64096875
transcript.pyannote[155].speaker SPEAKER_32
transcript.pyannote[155].start 2389.04159375
transcript.pyannote[155].end 2389.63221875
transcript.pyannote[156].speaker SPEAKER_32
transcript.pyannote[156].start 2390.47596875
transcript.pyannote[156].end 2391.77534375
transcript.pyannote[157].speaker SPEAKER_32
transcript.pyannote[157].start 2392.50096875
transcript.pyannote[157].end 2398.01909375
transcript.pyannote[158].speaker SPEAKER_32
transcript.pyannote[158].start 2398.37346875
transcript.pyannote[158].end 2398.79534375
transcript.pyannote[159].speaker SPEAKER_32
transcript.pyannote[159].start 2399.18346875
transcript.pyannote[159].end 2401.05659375
transcript.pyannote[160].speaker SPEAKER_32
transcript.pyannote[160].start 2402.37284375
transcript.pyannote[160].end 2407.92471875
transcript.pyannote[161].speaker SPEAKER_16
transcript.pyannote[161].start 2407.92471875
transcript.pyannote[161].end 2409.47721875
transcript.pyannote[162].speaker SPEAKER_32
transcript.pyannote[162].start 2409.47721875
transcript.pyannote[162].end 2409.49409375
transcript.pyannote[163].speaker SPEAKER_16
transcript.pyannote[163].start 2409.49409375
transcript.pyannote[163].end 2409.51096875
transcript.pyannote[164].speaker SPEAKER_32
transcript.pyannote[164].start 2409.51096875
transcript.pyannote[164].end 2409.52784375
transcript.pyannote[165].speaker SPEAKER_32
transcript.pyannote[165].start 2409.54471875
transcript.pyannote[165].end 2413.37534375
transcript.pyannote[166].speaker SPEAKER_16
transcript.pyannote[166].start 2411.62034375
transcript.pyannote[166].end 2412.05909375
transcript.pyannote[167].speaker SPEAKER_16
transcript.pyannote[167].start 2412.41346875
transcript.pyannote[167].end 2412.73409375
transcript.pyannote[168].speaker SPEAKER_32
transcript.pyannote[168].start 2414.10096875
transcript.pyannote[168].end 2415.13034375
transcript.pyannote[169].speaker SPEAKER_32
transcript.pyannote[169].start 2416.17659375
transcript.pyannote[169].end 2417.56034375
transcript.pyannote[170].speaker SPEAKER_32
transcript.pyannote[170].start 2418.15096875
transcript.pyannote[170].end 2424.07409375
transcript.pyannote[171].speaker SPEAKER_32
transcript.pyannote[171].start 2424.95159375
transcript.pyannote[171].end 2427.12846875
transcript.pyannote[172].speaker SPEAKER_32
transcript.pyannote[172].start 2427.43221875
transcript.pyannote[172].end 2427.76971875
transcript.pyannote[173].speaker SPEAKER_32
transcript.pyannote[173].start 2428.56284375
transcript.pyannote[173].end 2429.27159375
transcript.pyannote[174].speaker SPEAKER_32
transcript.pyannote[174].start 2429.69346875
transcript.pyannote[174].end 2430.55409375
transcript.pyannote[175].speaker SPEAKER_32
transcript.pyannote[175].start 2431.02659375
transcript.pyannote[175].end 2431.46534375
transcript.pyannote[176].speaker SPEAKER_32
transcript.pyannote[176].start 2431.71846875
transcript.pyannote[176].end 2432.41034375
transcript.pyannote[177].speaker SPEAKER_32
transcript.pyannote[177].start 2432.57909375
transcript.pyannote[177].end 2440.02096875
transcript.pyannote[178].speaker SPEAKER_32
transcript.pyannote[178].start 2440.61159375
transcript.pyannote[178].end 2447.00721875
transcript.pyannote[179].speaker SPEAKER_32
transcript.pyannote[179].start 2447.10846875
transcript.pyannote[179].end 2447.42909375
transcript.pyannote[180].speaker SPEAKER_32
transcript.pyannote[180].start 2447.90159375
transcript.pyannote[180].end 2448.89721875
transcript.pyannote[181].speaker SPEAKER_32
transcript.pyannote[181].start 2449.28534375
transcript.pyannote[181].end 2451.68159375
transcript.pyannote[182].speaker SPEAKER_32
transcript.pyannote[182].start 2452.18784375
transcript.pyannote[182].end 2455.56284375
transcript.pyannote[183].speaker SPEAKER_16
transcript.pyannote[183].start 2452.27221875
transcript.pyannote[183].end 2452.64346875
transcript.pyannote[184].speaker SPEAKER_16
transcript.pyannote[184].start 2455.46159375
transcript.pyannote[184].end 2455.54596875
transcript.pyannote[185].speaker SPEAKER_16
transcript.pyannote[185].start 2455.56284375
transcript.pyannote[185].end 2458.26284375
transcript.pyannote[186].speaker SPEAKER_32
transcript.pyannote[186].start 2457.94221875
transcript.pyannote[186].end 2459.30909375
transcript.pyannote[187].speaker SPEAKER_32
transcript.pyannote[187].start 2459.61284375
transcript.pyannote[187].end 2465.28284375
transcript.pyannote[188].speaker SPEAKER_32
transcript.pyannote[188].start 2465.73846875
transcript.pyannote[188].end 2468.92784375
transcript.pyannote[189].speaker SPEAKER_32
transcript.pyannote[189].start 2469.50159375
transcript.pyannote[189].end 2473.43346875
transcript.pyannote[190].speaker SPEAKER_32
transcript.pyannote[190].start 2474.04096875
transcript.pyannote[190].end 2475.79596875
transcript.pyannote[191].speaker SPEAKER_16
transcript.pyannote[191].start 2474.64846875
transcript.pyannote[191].end 2474.66534375
transcript.pyannote[192].speaker SPEAKER_22
transcript.pyannote[192].start 2474.66534375
transcript.pyannote[192].end 2474.68221875
transcript.pyannote[193].speaker SPEAKER_16
transcript.pyannote[193].start 2474.68221875
transcript.pyannote[193].end 2475.03659375
transcript.pyannote[194].speaker SPEAKER_22
transcript.pyannote[194].start 2475.03659375
transcript.pyannote[194].end 2477.12909375
transcript.pyannote[195].speaker SPEAKER_32
transcript.pyannote[195].start 2477.55096875
transcript.pyannote[195].end 2477.82096875
transcript.pyannote[196].speaker SPEAKER_32
transcript.pyannote[196].start 2478.76596875
transcript.pyannote[196].end 2479.86284375
transcript.pyannote[197].speaker SPEAKER_22
transcript.pyannote[197].start 2479.96409375
transcript.pyannote[197].end 2487.25409375
transcript.pyannote[198].speaker SPEAKER_32
transcript.pyannote[198].start 2488.08096875
transcript.pyannote[198].end 2489.48159375
transcript.pyannote[199].speaker SPEAKER_32
transcript.pyannote[199].start 2490.61221875
transcript.pyannote[199].end 2491.40534375
transcript.pyannote[200].speaker SPEAKER_32
transcript.pyannote[200].start 2492.43471875
transcript.pyannote[200].end 2499.30284375
transcript.pyannote[201].speaker SPEAKER_32
transcript.pyannote[201].start 2499.45471875
transcript.pyannote[201].end 2502.72846875
transcript.pyannote[202].speaker SPEAKER_32
transcript.pyannote[202].start 2503.89284375
transcript.pyannote[202].end 2504.88846875
transcript.pyannote[203].speaker SPEAKER_32
transcript.pyannote[203].start 2505.36096875
transcript.pyannote[203].end 2506.13721875
transcript.pyannote[204].speaker SPEAKER_32
transcript.pyannote[204].start 2506.54221875
transcript.pyannote[204].end 2510.59221875
transcript.pyannote[205].speaker SPEAKER_32
transcript.pyannote[205].start 2511.48659375
transcript.pyannote[205].end 2512.04346875
transcript.pyannote[206].speaker SPEAKER_32
transcript.pyannote[206].start 2512.61721875
transcript.pyannote[206].end 2513.76471875
transcript.pyannote[207].speaker SPEAKER_16
transcript.pyannote[207].start 2514.57471875
transcript.pyannote[207].end 2516.90346875
transcript.pyannote[208].speaker SPEAKER_16
transcript.pyannote[208].start 2516.95409375
transcript.pyannote[208].end 2516.97096875
transcript.pyannote[209].speaker SPEAKER_16
transcript.pyannote[209].start 2517.02159375
transcript.pyannote[209].end 2519.06346875
transcript.pyannote[210].speaker SPEAKER_16
transcript.pyannote[210].start 2519.24909375
transcript.pyannote[210].end 2519.90721875
transcript.pyannote[211].speaker SPEAKER_16
transcript.pyannote[211].start 2520.27846875
transcript.pyannote[211].end 2523.53534375
transcript.pyannote[212].speaker SPEAKER_22
transcript.pyannote[212].start 2522.92784375
transcript.pyannote[212].end 2531.82096875
transcript.pyannote[213].speaker SPEAKER_32
transcript.pyannote[213].start 2532.66471875
transcript.pyannote[213].end 2533.40721875
transcript.pyannote[214].speaker SPEAKER_22
transcript.pyannote[214].start 2534.14971875
transcript.pyannote[214].end 2535.26346875
transcript.pyannote[215].speaker SPEAKER_32
transcript.pyannote[215].start 2535.68534375
transcript.pyannote[215].end 2536.78221875
transcript.pyannote[216].speaker SPEAKER_32
transcript.pyannote[216].start 2536.84971875
transcript.pyannote[216].end 2541.42284375
transcript.pyannote[217].speaker SPEAKER_22
transcript.pyannote[217].start 2541.87846875
transcript.pyannote[217].end 2541.91221875
transcript.pyannote[218].speaker SPEAKER_32
transcript.pyannote[218].start 2541.91221875
transcript.pyannote[218].end 2542.99221875
transcript.pyannote[219].speaker SPEAKER_22
transcript.pyannote[219].start 2541.92909375
transcript.pyannote[219].end 2552.22284375
transcript.pyannote[220].speaker SPEAKER_32
transcript.pyannote[220].start 2543.49846875
transcript.pyannote[220].end 2545.20284375
transcript.pyannote[221].speaker SPEAKER_32
transcript.pyannote[221].start 2552.40846875
transcript.pyannote[221].end 2554.66971875
transcript.pyannote[222].speaker SPEAKER_32
transcript.pyannote[222].start 2555.10846875
transcript.pyannote[222].end 2556.01971875
transcript.pyannote[223].speaker SPEAKER_32
transcript.pyannote[223].start 2556.52596875
transcript.pyannote[223].end 2558.63534375
transcript.pyannote[224].speaker SPEAKER_32
transcript.pyannote[224].start 2558.82096875
transcript.pyannote[224].end 2564.52471875
transcript.pyannote[225].speaker SPEAKER_32
transcript.pyannote[225].start 2564.74409375
transcript.pyannote[225].end 2568.32159375
transcript.pyannote[226].speaker SPEAKER_32
transcript.pyannote[226].start 2568.49034375
transcript.pyannote[226].end 2571.27471875
transcript.pyannote[227].speaker SPEAKER_16
transcript.pyannote[227].start 2570.68409375
transcript.pyannote[227].end 2573.85659375
transcript.pyannote[228].speaker SPEAKER_16
transcript.pyannote[228].start 2574.22784375
transcript.pyannote[228].end 2578.12596875
transcript.pyannote[229].speaker SPEAKER_16
transcript.pyannote[229].start 2578.41284375
transcript.pyannote[229].end 2580.57284375
transcript.pyannote[230].speaker SPEAKER_16
transcript.pyannote[230].start 2580.84284375
transcript.pyannote[230].end 2582.61471875
transcript.pyannote[231].speaker SPEAKER_16
transcript.pyannote[231].start 2582.81721875
transcript.pyannote[231].end 2584.26846875
transcript.pyannote[232].speaker SPEAKER_32
transcript.pyannote[232].start 2584.89284375
transcript.pyannote[232].end 2590.10721875
transcript.pyannote[233].speaker SPEAKER_16
transcript.pyannote[233].start 2589.53346875
transcript.pyannote[233].end 2593.41471875
transcript.pyannote[234].speaker SPEAKER_32
transcript.pyannote[234].start 2590.51221875
transcript.pyannote[234].end 2597.34659375
transcript.pyannote[235].speaker SPEAKER_26
transcript.pyannote[235].start 2593.41471875
transcript.pyannote[235].end 2593.43159375
transcript.pyannote[236].speaker SPEAKER_32
transcript.pyannote[236].start 2597.95409375
transcript.pyannote[236].end 2600.38409375
transcript.pyannote[237].speaker SPEAKER_32
transcript.pyannote[237].start 2600.51909375
transcript.pyannote[237].end 2602.49346875
transcript.pyannote[238].speaker SPEAKER_32
transcript.pyannote[238].start 2602.94909375
transcript.pyannote[238].end 2604.38346875
transcript.pyannote[239].speaker SPEAKER_32
transcript.pyannote[239].start 2605.41284375
transcript.pyannote[239].end 2610.10409375
transcript.pyannote[240].speaker SPEAKER_00
transcript.pyannote[240].start 2606.40846875
transcript.pyannote[240].end 2607.13409375
transcript.pyannote[241].speaker SPEAKER_32
transcript.pyannote[241].start 2610.66096875
transcript.pyannote[241].end 2611.45409375
transcript.pyannote[242].speaker SPEAKER_32
transcript.pyannote[242].start 2612.36534375
transcript.pyannote[242].end 2623.23284375
transcript.pyannote[243].speaker SPEAKER_00
transcript.pyannote[243].start 2615.99346875
transcript.pyannote[243].end 2616.02721875
transcript.pyannote[244].speaker SPEAKER_25
transcript.pyannote[244].start 2616.02721875
transcript.pyannote[244].end 2616.73596875
transcript.pyannote[245].speaker SPEAKER_25
transcript.pyannote[245].start 2616.75284375
transcript.pyannote[245].end 2616.76971875
transcript.pyannote[246].speaker SPEAKER_32
transcript.pyannote[246].start 2623.99221875
transcript.pyannote[246].end 2626.74284375
transcript.pyannote[247].speaker SPEAKER_16
transcript.pyannote[247].start 2626.45596875
transcript.pyannote[247].end 2627.35034375
transcript.pyannote[248].speaker SPEAKER_32
transcript.pyannote[248].start 2627.35034375
transcript.pyannote[248].end 2633.03721875
transcript.pyannote[249].speaker SPEAKER_32
transcript.pyannote[249].start 2633.20596875
transcript.pyannote[249].end 2634.99471875
transcript.pyannote[250].speaker SPEAKER_32
transcript.pyannote[250].start 2635.26471875
transcript.pyannote[250].end 2636.61471875
transcript.pyannote[251].speaker SPEAKER_32
transcript.pyannote[251].start 2637.39096875
transcript.pyannote[251].end 2640.46221875
transcript.pyannote[252].speaker SPEAKER_32
transcript.pyannote[252].start 2640.81659375
transcript.pyannote[252].end 2642.87534375
transcript.pyannote[253].speaker SPEAKER_32
transcript.pyannote[253].start 2643.16221875
transcript.pyannote[253].end 2644.57971875
transcript.pyannote[254].speaker SPEAKER_32
transcript.pyannote[254].start 2645.08596875
transcript.pyannote[254].end 2645.44034375
transcript.pyannote[255].speaker SPEAKER_32
transcript.pyannote[255].start 2645.96346875
transcript.pyannote[255].end 2649.69284375
transcript.pyannote[256].speaker SPEAKER_32
transcript.pyannote[256].start 2649.96284375
transcript.pyannote[256].end 2650.75596875
transcript.pyannote[257].speaker SPEAKER_32
transcript.pyannote[257].start 2651.11034375
transcript.pyannote[257].end 2652.56159375
transcript.pyannote[258].speaker SPEAKER_16
transcript.pyannote[258].start 2653.30409375
transcript.pyannote[258].end 2655.56534375
transcript.pyannote[259].speaker SPEAKER_16
transcript.pyannote[259].start 2655.91971875
transcript.pyannote[259].end 2657.33721875
transcript.pyannote[260].speaker SPEAKER_16
transcript.pyannote[260].start 2657.64096875
transcript.pyannote[260].end 2659.73346875
transcript.pyannote[261].speaker SPEAKER_16
transcript.pyannote[261].start 2659.90221875
transcript.pyannote[261].end 2661.04971875
transcript.pyannote[262].speaker SPEAKER_16
transcript.pyannote[262].start 2661.65721875
transcript.pyannote[262].end 2663.91846875
transcript.pyannote[263].speaker SPEAKER_16
transcript.pyannote[263].start 2664.66096875
transcript.pyannote[263].end 2666.31471875
transcript.pyannote[264].speaker SPEAKER_16
transcript.pyannote[264].start 2666.66909375
transcript.pyannote[264].end 2667.44534375
transcript.pyannote[265].speaker SPEAKER_16
transcript.pyannote[265].start 2667.85034375
transcript.pyannote[265].end 2670.87096875
transcript.pyannote[266].speaker SPEAKER_16
transcript.pyannote[266].start 2671.24221875
transcript.pyannote[266].end 2672.47409375
transcript.pyannote[267].speaker SPEAKER_16
transcript.pyannote[267].start 2672.98034375
transcript.pyannote[267].end 2677.75596875
transcript.pyannote[268].speaker SPEAKER_16
transcript.pyannote[268].start 2678.11034375
transcript.pyannote[268].end 2678.46471875
transcript.pyannote[269].speaker SPEAKER_16
transcript.pyannote[269].start 2679.13971875
transcript.pyannote[269].end 2686.34534375
transcript.pyannote[270].speaker SPEAKER_32
transcript.pyannote[270].start 2685.77159375
transcript.pyannote[270].end 2691.00284375
transcript.pyannote[271].speaker SPEAKER_32
transcript.pyannote[271].start 2691.69471875
transcript.pyannote[271].end 2692.90971875
transcript.pyannote[272].speaker SPEAKER_32
transcript.pyannote[272].start 2693.07846875
transcript.pyannote[272].end 2694.22596875
transcript.pyannote[273].speaker SPEAKER_32
transcript.pyannote[273].start 2694.83346875
transcript.pyannote[273].end 2700.55409375
transcript.pyannote[274].speaker SPEAKER_32
transcript.pyannote[274].start 2701.41471875
transcript.pyannote[274].end 2709.88596875
transcript.pyannote[275].speaker SPEAKER_22
transcript.pyannote[275].start 2708.40096875
transcript.pyannote[275].end 2712.26534375
transcript.pyannote[276].speaker SPEAKER_32
transcript.pyannote[276].start 2711.52284375
transcript.pyannote[276].end 2723.38596875
transcript.pyannote[277].speaker SPEAKER_16
transcript.pyannote[277].start 2723.72346875
transcript.pyannote[277].end 2727.04784375
transcript.pyannote[278].speaker SPEAKER_16
transcript.pyannote[278].start 2727.31784375
transcript.pyannote[278].end 2731.99221875
transcript.pyannote[279].speaker SPEAKER_16
transcript.pyannote[279].start 2732.22846875
transcript.pyannote[279].end 2733.03846875
transcript.pyannote[280].speaker SPEAKER_22
transcript.pyannote[280].start 2733.03846875
transcript.pyannote[280].end 2734.47284375
transcript.pyannote[281].speaker SPEAKER_22
transcript.pyannote[281].start 2735.13096875
transcript.pyannote[281].end 2756.03909375
transcript.pyannote[282].speaker SPEAKER_32
transcript.pyannote[282].start 2756.03909375
transcript.pyannote[282].end 2756.37659375
transcript.pyannote[283].speaker SPEAKER_22
transcript.pyannote[283].start 2756.05596875
transcript.pyannote[283].end 2757.11909375
transcript.pyannote[284].speaker SPEAKER_32
transcript.pyannote[284].start 2757.11909375
transcript.pyannote[284].end 2758.14846875
transcript.pyannote[285].speaker SPEAKER_32
transcript.pyannote[285].start 2758.68846875
transcript.pyannote[285].end 2759.43096875
transcript.pyannote[286].speaker SPEAKER_32
transcript.pyannote[286].start 2760.40971875
transcript.pyannote[286].end 2763.70034375
transcript.pyannote[287].speaker SPEAKER_32
transcript.pyannote[287].start 2764.32471875
transcript.pyannote[287].end 2765.03346875
transcript.pyannote[288].speaker SPEAKER_32
transcript.pyannote[288].start 2765.35409375
transcript.pyannote[288].end 2766.38346875
transcript.pyannote[289].speaker SPEAKER_32
transcript.pyannote[289].start 2766.97409375
transcript.pyannote[289].end 2772.42471875
transcript.pyannote[290].speaker SPEAKER_32
transcript.pyannote[290].start 2772.93096875
transcript.pyannote[290].end 2774.78721875
transcript.pyannote[291].speaker SPEAKER_32
transcript.pyannote[291].start 2775.46221875
transcript.pyannote[291].end 2776.91346875
transcript.pyannote[292].speaker SPEAKER_32
transcript.pyannote[292].start 2776.99784375
transcript.pyannote[292].end 2778.41534375
transcript.pyannote[293].speaker SPEAKER_32
transcript.pyannote[293].start 2779.39409375
transcript.pyannote[293].end 2783.91659375
transcript.pyannote[294].speaker SPEAKER_32
transcript.pyannote[294].start 2784.47346875
transcript.pyannote[294].end 2789.14784375
transcript.pyannote[295].speaker SPEAKER_32
transcript.pyannote[295].start 2789.36721875
transcript.pyannote[295].end 2792.80971875
transcript.pyannote[296].speaker SPEAKER_22
transcript.pyannote[296].start 2793.53534375
transcript.pyannote[296].end 2805.38159375
transcript.pyannote[297].speaker SPEAKER_32
transcript.pyannote[297].start 2794.53096875
transcript.pyannote[297].end 2795.34096875
transcript.pyannote[298].speaker SPEAKER_22
transcript.pyannote[298].start 2806.00596875
transcript.pyannote[298].end 2808.23346875
transcript.pyannote[299].speaker SPEAKER_32
transcript.pyannote[299].start 2808.30096875
transcript.pyannote[299].end 2812.26659375
transcript.pyannote[300].speaker SPEAKER_32
transcript.pyannote[300].start 2812.84034375
transcript.pyannote[300].end 2818.76346875
transcript.pyannote[301].speaker SPEAKER_32
transcript.pyannote[301].start 2819.74221875
transcript.pyannote[301].end 2825.42909375
transcript.pyannote[302].speaker SPEAKER_22
transcript.pyannote[302].start 2822.66159375
transcript.pyannote[302].end 2824.63596875
transcript.pyannote[303].speaker SPEAKER_22
transcript.pyannote[303].start 2825.19284375
transcript.pyannote[303].end 2842.27034375
transcript.pyannote[304].speaker SPEAKER_32
transcript.pyannote[304].start 2842.81034375
transcript.pyannote[304].end 2846.32034375
transcript.pyannote[305].speaker SPEAKER_32
transcript.pyannote[305].start 2846.42159375
transcript.pyannote[305].end 2846.43846875
transcript.pyannote[306].speaker SPEAKER_32
transcript.pyannote[306].start 2846.45534375
transcript.pyannote[306].end 2848.69971875
transcript.pyannote[307].speaker SPEAKER_32
transcript.pyannote[307].start 2849.34096875
transcript.pyannote[307].end 2851.41659375
transcript.pyannote[308].speaker SPEAKER_32
transcript.pyannote[308].start 2851.78784375
transcript.pyannote[308].end 2855.65221875
transcript.pyannote[309].speaker SPEAKER_32
transcript.pyannote[309].start 2855.92221875
transcript.pyannote[309].end 2858.36909375
transcript.pyannote[310].speaker SPEAKER_32
transcript.pyannote[310].start 2858.97659375
transcript.pyannote[310].end 2865.00096875
transcript.pyannote[311].speaker SPEAKER_32
transcript.pyannote[311].start 2865.28784375
transcript.pyannote[311].end 2867.17784375
transcript.pyannote[312].speaker SPEAKER_32
transcript.pyannote[312].start 2867.22846875
transcript.pyannote[312].end 2868.86534375
transcript.pyannote[313].speaker SPEAKER_32
transcript.pyannote[313].start 2869.35471875
transcript.pyannote[313].end 2872.15596875
transcript.pyannote[314].speaker SPEAKER_32
transcript.pyannote[314].start 2872.29096875
transcript.pyannote[314].end 2876.47596875
transcript.pyannote[315].speaker SPEAKER_32
transcript.pyannote[315].start 2876.69534375
transcript.pyannote[315].end 2877.50534375
transcript.pyannote[316].speaker SPEAKER_32
transcript.pyannote[316].start 2878.56846875
transcript.pyannote[316].end 2895.91596875
transcript.pyannote[317].speaker SPEAKER_32
transcript.pyannote[317].start 2896.42221875
transcript.pyannote[317].end 2896.81034375
transcript.pyannote[318].speaker SPEAKER_16
transcript.pyannote[318].start 2896.75971875
transcript.pyannote[318].end 2899.81409375
transcript.pyannote[319].speaker SPEAKER_16
transcript.pyannote[319].start 2900.11784375
transcript.pyannote[319].end 2903.79659375
transcript.pyannote[320].speaker SPEAKER_16
transcript.pyannote[320].start 2904.25221875
transcript.pyannote[320].end 2908.38659375
transcript.pyannote[321].speaker SPEAKER_16
transcript.pyannote[321].start 2908.79159375
transcript.pyannote[321].end 2910.02346875
transcript.pyannote[322].speaker SPEAKER_16
transcript.pyannote[322].start 2910.32721875
transcript.pyannote[322].end 2911.76159375
transcript.pyannote[323].speaker SPEAKER_16
transcript.pyannote[323].start 2912.25096875
transcript.pyannote[323].end 2915.42346875
transcript.pyannote[324].speaker SPEAKER_32
transcript.pyannote[324].start 2916.23346875
transcript.pyannote[324].end 2919.35534375
transcript.pyannote[325].speaker SPEAKER_32
transcript.pyannote[325].start 2919.50721875
transcript.pyannote[325].end 2924.02971875
transcript.pyannote[326].speaker SPEAKER_32
transcript.pyannote[326].start 2924.62034375
transcript.pyannote[326].end 2929.58159375
transcript.pyannote[327].speaker SPEAKER_32
transcript.pyannote[327].start 2930.00346875
transcript.pyannote[327].end 2936.87159375
transcript.pyannote[328].speaker SPEAKER_32
transcript.pyannote[328].start 2937.34409375
transcript.pyannote[328].end 2937.85034375
transcript.pyannote[329].speaker SPEAKER_32
transcript.pyannote[329].start 2938.54221875
transcript.pyannote[329].end 2940.24659375
transcript.pyannote[330].speaker SPEAKER_32
transcript.pyannote[330].start 2940.56721875
transcript.pyannote[330].end 2942.42346875
transcript.pyannote[331].speaker SPEAKER_32
transcript.pyannote[331].start 2943.03096875
transcript.pyannote[331].end 2943.99284375
transcript.pyannote[332].speaker SPEAKER_32
transcript.pyannote[332].start 2944.33034375
transcript.pyannote[332].end 2946.33846875
transcript.pyannote[333].speaker SPEAKER_25
transcript.pyannote[333].start 2944.38096875
transcript.pyannote[333].end 2945.03909375
transcript.pyannote[334].speaker SPEAKER_32
transcript.pyannote[334].start 2946.79409375
transcript.pyannote[334].end 2949.03846875
transcript.pyannote[335].speaker SPEAKER_32
transcript.pyannote[335].start 2949.15659375
transcript.pyannote[335].end 2951.33346875
transcript.pyannote[336].speaker SPEAKER_32
transcript.pyannote[336].start 2951.94096875
transcript.pyannote[336].end 2953.35846875
transcript.pyannote[337].speaker SPEAKER_32
transcript.pyannote[337].start 2955.24846875
transcript.pyannote[337].end 2955.94034375
transcript.pyannote[338].speaker SPEAKER_32
transcript.pyannote[338].start 2956.36221875
transcript.pyannote[338].end 2958.85971875
transcript.pyannote[339].speaker SPEAKER_32
transcript.pyannote[339].start 2959.33221875
transcript.pyannote[339].end 2961.82971875
transcript.pyannote[340].speaker SPEAKER_32
transcript.pyannote[340].start 2962.67346875
transcript.pyannote[340].end 2964.14159375
transcript.pyannote[341].speaker SPEAKER_32
transcript.pyannote[341].start 2964.52971875
transcript.pyannote[341].end 2966.13284375
transcript.pyannote[342].speaker SPEAKER_00
transcript.pyannote[342].start 2964.69846875
transcript.pyannote[342].end 2965.30596875
transcript.pyannote[343].speaker SPEAKER_32
transcript.pyannote[343].start 2967.14534375
transcript.pyannote[343].end 2970.53721875
transcript.pyannote[344].speaker SPEAKER_00
transcript.pyannote[344].start 2967.51659375
transcript.pyannote[344].end 2967.78659375
transcript.pyannote[345].speaker SPEAKER_32
transcript.pyannote[345].start 2970.99284375
transcript.pyannote[345].end 2975.02596875
transcript.pyannote[346].speaker SPEAKER_32
transcript.pyannote[346].start 2975.24534375
transcript.pyannote[346].end 2975.95409375
transcript.pyannote[347].speaker SPEAKER_32
transcript.pyannote[347].start 2976.30846875
transcript.pyannote[347].end 2976.76409375
transcript.pyannote[348].speaker SPEAKER_32
transcript.pyannote[348].start 2976.93284375
transcript.pyannote[348].end 2979.00846875
transcript.pyannote[349].speaker SPEAKER_32
transcript.pyannote[349].start 2979.58221875
transcript.pyannote[349].end 2980.62846875
transcript.pyannote[350].speaker SPEAKER_32
transcript.pyannote[350].start 2980.99971875
transcript.pyannote[350].end 2982.24846875
transcript.pyannote[351].speaker SPEAKER_32
transcript.pyannote[351].start 2983.73346875
transcript.pyannote[351].end 2985.08346875
transcript.pyannote[352].speaker SPEAKER_32
transcript.pyannote[352].start 2985.60659375
transcript.pyannote[352].end 2987.68221875
transcript.pyannote[353].speaker SPEAKER_32
transcript.pyannote[353].start 2989.09971875
transcript.pyannote[353].end 2998.81971875
transcript.pyannote[354].speaker SPEAKER_32
transcript.pyannote[354].start 2999.41034375
transcript.pyannote[354].end 3000.94596875
transcript.pyannote[355].speaker SPEAKER_32
transcript.pyannote[355].start 3001.67159375
transcript.pyannote[355].end 3004.37159375
transcript.pyannote[356].speaker SPEAKER_16
transcript.pyannote[356].start 3004.70909375
transcript.pyannote[356].end 3014.15909375
transcript.pyannote[357].speaker SPEAKER_16
transcript.pyannote[357].start 3014.58096875
transcript.pyannote[357].end 3017.48346875
transcript.pyannote[358].speaker SPEAKER_16
transcript.pyannote[358].start 3017.92221875
transcript.pyannote[358].end 3021.80346875
transcript.pyannote[359].speaker SPEAKER_16
transcript.pyannote[359].start 3022.05659375
transcript.pyannote[359].end 3025.41471875
transcript.pyannote[360].speaker SPEAKER_16
transcript.pyannote[360].start 3025.81971875
transcript.pyannote[360].end 3027.10221875
transcript.pyannote[361].speaker SPEAKER_16
transcript.pyannote[361].start 3027.45659375
transcript.pyannote[361].end 3031.21971875
transcript.pyannote[362].speaker SPEAKER_32
transcript.pyannote[362].start 3031.65846875
transcript.pyannote[362].end 3036.02909375
transcript.pyannote[363].speaker SPEAKER_32
transcript.pyannote[363].start 3036.19784375
transcript.pyannote[363].end 3038.59409375
transcript.pyannote[364].speaker SPEAKER_32
transcript.pyannote[364].start 3038.89784375
transcript.pyannote[364].end 3043.87596875
transcript.pyannote[365].speaker SPEAKER_32
transcript.pyannote[365].start 3044.38221875
transcript.pyannote[365].end 3047.57159375
transcript.pyannote[366].speaker SPEAKER_32
transcript.pyannote[366].start 3048.44909375
transcript.pyannote[366].end 3049.47846875
transcript.pyannote[367].speaker SPEAKER_32
transcript.pyannote[367].start 3050.11971875
transcript.pyannote[367].end 3051.57096875
transcript.pyannote[368].speaker SPEAKER_32
transcript.pyannote[368].start 3052.04346875
transcript.pyannote[368].end 3057.32534375
transcript.pyannote[369].speaker SPEAKER_32
transcript.pyannote[369].start 3057.89909375
transcript.pyannote[369].end 3059.28284375
transcript.pyannote[370].speaker SPEAKER_32
transcript.pyannote[370].start 3059.67096875
transcript.pyannote[370].end 3062.60721875
transcript.pyannote[371].speaker SPEAKER_32
transcript.pyannote[371].start 3063.65346875
transcript.pyannote[371].end 3074.28471875
transcript.pyannote[372].speaker SPEAKER_22
transcript.pyannote[372].start 3073.64346875
transcript.pyannote[372].end 3077.89596875
transcript.pyannote[373].speaker SPEAKER_32
transcript.pyannote[373].start 3076.90034375
transcript.pyannote[373].end 3082.24971875
transcript.pyannote[374].speaker SPEAKER_32
transcript.pyannote[374].start 3083.63346875
transcript.pyannote[374].end 3086.92409375
transcript.pyannote[375].speaker SPEAKER_32
transcript.pyannote[375].start 3087.29534375
transcript.pyannote[375].end 3087.90284375
transcript.pyannote[376].speaker SPEAKER_32
transcript.pyannote[376].start 3088.22346875
transcript.pyannote[376].end 3088.79721875
transcript.pyannote[377].speaker SPEAKER_07
transcript.pyannote[377].start 3089.16846875
transcript.pyannote[377].end 3091.05846875
transcript.pyannote[378].speaker SPEAKER_32
transcript.pyannote[378].start 3095.34471875
transcript.pyannote[378].end 3096.64409375
transcript.pyannote[379].speaker SPEAKER_32
transcript.pyannote[379].start 3101.25096875
transcript.pyannote[379].end 3101.85846875
transcript.pyannote[380].speaker SPEAKER_32
transcript.pyannote[380].start 3102.87096875
transcript.pyannote[380].end 3103.39409375
transcript.pyannote[381].speaker SPEAKER_32
transcript.pyannote[381].start 3104.30534375
transcript.pyannote[381].end 3105.97596875
transcript.pyannote[382].speaker SPEAKER_32
transcript.pyannote[382].start 3106.81971875
transcript.pyannote[382].end 3111.05534375
transcript.pyannote[383].speaker SPEAKER_32
transcript.pyannote[383].start 3111.67971875
transcript.pyannote[383].end 3112.59096875
transcript.pyannote[384].speaker SPEAKER_32
transcript.pyannote[384].start 3113.08034375
transcript.pyannote[384].end 3116.18534375
transcript.pyannote[385].speaker SPEAKER_32
transcript.pyannote[385].start 3117.38346875
transcript.pyannote[385].end 3119.93159375
transcript.pyannote[386].speaker SPEAKER_32
transcript.pyannote[386].start 3120.33659375
transcript.pyannote[386].end 3121.50096875
transcript.pyannote[387].speaker SPEAKER_32
transcript.pyannote[387].start 3122.39534375
transcript.pyannote[387].end 3126.51284375
transcript.pyannote[388].speaker SPEAKER_32
transcript.pyannote[388].start 3127.20471875
transcript.pyannote[388].end 3130.96784375
transcript.pyannote[389].speaker SPEAKER_32
transcript.pyannote[389].start 3131.91284375
transcript.pyannote[389].end 3134.03909375
transcript.pyannote[390].speaker SPEAKER_32
transcript.pyannote[390].start 3134.47784375
transcript.pyannote[390].end 3137.48159375
transcript.pyannote[391].speaker SPEAKER_24
transcript.pyannote[391].start 3139.45596875
transcript.pyannote[391].end 3140.01284375
transcript.pyannote[392].speaker SPEAKER_24
transcript.pyannote[392].start 3140.55284375
transcript.pyannote[392].end 3147.57284375
transcript.pyannote[393].speaker SPEAKER_24
transcript.pyannote[393].start 3148.34909375
transcript.pyannote[393].end 3153.14159375
transcript.pyannote[394].speaker SPEAKER_32
transcript.pyannote[394].start 3154.15409375
transcript.pyannote[394].end 3162.97971875
transcript.pyannote[395].speaker SPEAKER_24
transcript.pyannote[395].start 3164.12721875
transcript.pyannote[395].end 3165.07221875
transcript.pyannote[396].speaker SPEAKER_32
transcript.pyannote[396].start 3164.56596875
transcript.pyannote[396].end 3166.06784375
transcript.pyannote[397].speaker SPEAKER_24
transcript.pyannote[397].start 3166.06784375
transcript.pyannote[397].end 3166.08471875
transcript.pyannote[398].speaker SPEAKER_24
transcript.pyannote[398].start 3166.40534375
transcript.pyannote[398].end 3166.81034375
transcript.pyannote[399].speaker SPEAKER_24
transcript.pyannote[399].start 3167.99159375
transcript.pyannote[399].end 3168.59909375
transcript.pyannote[400].speaker SPEAKER_32
transcript.pyannote[400].start 3168.10971875
transcript.pyannote[400].end 3168.37971875
transcript.pyannote[401].speaker SPEAKER_24
transcript.pyannote[401].start 3168.85221875
transcript.pyannote[401].end 3181.52534375
transcript.pyannote[402].speaker SPEAKER_24
transcript.pyannote[402].start 3181.91346875
transcript.pyannote[402].end 3193.23659375
transcript.pyannote[403].speaker SPEAKER_24
transcript.pyannote[403].start 3194.19846875
transcript.pyannote[403].end 3195.17721875
transcript.pyannote[404].speaker SPEAKER_24
transcript.pyannote[404].start 3195.43034375
transcript.pyannote[404].end 3195.44721875
transcript.pyannote[405].speaker SPEAKER_25
transcript.pyannote[405].start 3195.44721875
transcript.pyannote[405].end 3195.91971875
transcript.pyannote[406].speaker SPEAKER_24
transcript.pyannote[406].start 3195.46409375
transcript.pyannote[406].end 3203.24346875
transcript.pyannote[407].speaker SPEAKER_24
transcript.pyannote[407].start 3203.31096875
transcript.pyannote[407].end 3204.52596875
transcript.pyannote[408].speaker SPEAKER_32
transcript.pyannote[408].start 3204.71159375
transcript.pyannote[408].end 3205.30221875
transcript.pyannote[409].speaker SPEAKER_32
transcript.pyannote[409].start 3205.75784375
transcript.pyannote[409].end 3210.53346875
transcript.pyannote[410].speaker SPEAKER_32
transcript.pyannote[410].start 3210.98909375
transcript.pyannote[410].end 3216.03471875
transcript.pyannote[411].speaker SPEAKER_32
transcript.pyannote[411].start 3216.76034375
transcript.pyannote[411].end 3220.72596875
transcript.pyannote[412].speaker SPEAKER_32
transcript.pyannote[412].start 3221.28284375
transcript.pyannote[412].end 3227.91471875
transcript.pyannote[413].speaker SPEAKER_32
transcript.pyannote[413].start 3227.93159375
transcript.pyannote[413].end 3227.96534375
transcript.pyannote[414].speaker SPEAKER_24
transcript.pyannote[414].start 3227.96534375
transcript.pyannote[414].end 3237.21284375
transcript.pyannote[415].speaker SPEAKER_24
transcript.pyannote[415].start 3237.43221875
transcript.pyannote[415].end 3242.78159375
transcript.pyannote[416].speaker SPEAKER_24
transcript.pyannote[416].start 3242.96721875
transcript.pyannote[416].end 3256.23096875
transcript.pyannote[417].speaker SPEAKER_32
transcript.pyannote[417].start 3254.45909375
transcript.pyannote[417].end 3257.32784375
transcript.pyannote[418].speaker SPEAKER_24
transcript.pyannote[418].start 3256.77096875
transcript.pyannote[418].end 3257.17596875
transcript.pyannote[419].speaker SPEAKER_32
transcript.pyannote[419].start 3258.45846875
transcript.pyannote[419].end 3259.48784375
transcript.pyannote[420].speaker SPEAKER_32
transcript.pyannote[420].start 3262.10346875
transcript.pyannote[420].end 3264.53346875
transcript.pyannote[421].speaker SPEAKER_32
transcript.pyannote[421].start 3264.92159375
transcript.pyannote[421].end 3267.09846875
transcript.pyannote[422].speaker SPEAKER_32
transcript.pyannote[422].start 3267.28409375
transcript.pyannote[422].end 3268.31346875
transcript.pyannote[423].speaker SPEAKER_32
transcript.pyannote[423].start 3269.76471875
transcript.pyannote[423].end 3270.99659375
transcript.pyannote[424].speaker SPEAKER_32
transcript.pyannote[424].start 3271.41846875
transcript.pyannote[424].end 3271.72221875
transcript.pyannote[425].speaker SPEAKER_32
transcript.pyannote[425].start 3272.07659375
transcript.pyannote[425].end 3276.05909375
transcript.pyannote[426].speaker SPEAKER_32
transcript.pyannote[426].start 3276.86909375
transcript.pyannote[426].end 3283.85534375
transcript.pyannote[427].speaker SPEAKER_16
transcript.pyannote[427].start 3282.45471875
transcript.pyannote[427].end 3285.57659375
transcript.pyannote[428].speaker SPEAKER_16
transcript.pyannote[428].start 3286.03221875
transcript.pyannote[428].end 3289.72784375
transcript.pyannote[429].speaker SPEAKER_16
transcript.pyannote[429].start 3289.98096875
transcript.pyannote[429].end 3290.77409375
transcript.pyannote[430].speaker SPEAKER_16
transcript.pyannote[430].start 3291.14534375
transcript.pyannote[430].end 3293.47409375
transcript.pyannote[431].speaker SPEAKER_16
transcript.pyannote[431].start 3293.87909375
transcript.pyannote[431].end 3297.06846875
transcript.pyannote[432].speaker SPEAKER_16
transcript.pyannote[432].start 3297.50721875
transcript.pyannote[432].end 3297.91221875
transcript.pyannote[433].speaker SPEAKER_16
transcript.pyannote[433].start 3298.33409375
transcript.pyannote[433].end 3299.78534375
transcript.pyannote[434].speaker SPEAKER_16
transcript.pyannote[434].start 3299.97096875
transcript.pyannote[434].end 3301.59096875
transcript.pyannote[435].speaker SPEAKER_16
transcript.pyannote[435].start 3302.14784375
transcript.pyannote[435].end 3307.61534375
transcript.pyannote[436].speaker SPEAKER_16
transcript.pyannote[436].start 3307.98659375
transcript.pyannote[436].end 3311.56409375
transcript.pyannote[437].speaker SPEAKER_16
transcript.pyannote[437].start 3312.07034375
transcript.pyannote[437].end 3312.67784375
transcript.pyannote[438].speaker SPEAKER_16
transcript.pyannote[438].start 3313.11659375
transcript.pyannote[438].end 3315.88409375
transcript.pyannote[439].speaker SPEAKER_16
transcript.pyannote[439].start 3316.37346875
transcript.pyannote[439].end 3317.79096875
transcript.pyannote[440].speaker SPEAKER_16
transcript.pyannote[440].start 3318.02721875
transcript.pyannote[440].end 3326.24534375
transcript.pyannote[441].speaker SPEAKER_32
transcript.pyannote[441].start 3326.59971875
transcript.pyannote[441].end 3331.99971875
transcript.pyannote[442].speaker SPEAKER_32
transcript.pyannote[442].start 3332.69159375
transcript.pyannote[442].end 3348.11534375
transcript.pyannote[443].speaker SPEAKER_16
transcript.pyannote[443].start 3347.49096875
transcript.pyannote[443].end 3352.97534375
transcript.pyannote[444].speaker SPEAKER_32
transcript.pyannote[444].start 3352.24971875
transcript.pyannote[444].end 3359.45534375
transcript.pyannote[445].speaker SPEAKER_32
transcript.pyannote[445].start 3359.86034375
transcript.pyannote[445].end 3361.66596875
transcript.pyannote[446].speaker SPEAKER_32
transcript.pyannote[446].start 3361.78409375
transcript.pyannote[446].end 3364.80471875
transcript.pyannote[447].speaker SPEAKER_32
transcript.pyannote[447].start 3364.97346875
transcript.pyannote[447].end 3369.39471875
transcript.pyannote[448].speaker SPEAKER_32
transcript.pyannote[448].start 3369.79971875
transcript.pyannote[448].end 3374.76096875
transcript.pyannote[449].speaker SPEAKER_32
transcript.pyannote[449].start 3375.35159375
transcript.pyannote[449].end 3376.24596875
transcript.pyannote[450].speaker SPEAKER_32
transcript.pyannote[450].start 3376.29659375
transcript.pyannote[450].end 3378.60846875
transcript.pyannote[451].speaker SPEAKER_16
transcript.pyannote[451].start 3378.60846875
transcript.pyannote[451].end 3380.27909375
transcript.pyannote[452].speaker SPEAKER_32
transcript.pyannote[452].start 3378.64221875
transcript.pyannote[452].end 3378.81096875
transcript.pyannote[453].speaker SPEAKER_16
transcript.pyannote[453].start 3380.68409375
transcript.pyannote[453].end 3390.75846875
transcript.pyannote[454].speaker SPEAKER_32
transcript.pyannote[454].start 3391.83846875
transcript.pyannote[454].end 3398.99346875
transcript.pyannote[455].speaker SPEAKER_32
transcript.pyannote[455].start 3400.20846875
transcript.pyannote[455].end 3400.69784375
transcript.pyannote[456].speaker SPEAKER_32
transcript.pyannote[456].start 3401.20409375
transcript.pyannote[456].end 3403.63409375
transcript.pyannote[457].speaker SPEAKER_32
transcript.pyannote[457].start 3403.80284375
transcript.pyannote[457].end 3406.72221875
transcript.pyannote[458].speaker SPEAKER_32
transcript.pyannote[458].start 3406.97534375
transcript.pyannote[458].end 3412.84784375
transcript.pyannote[459].speaker SPEAKER_25
transcript.pyannote[459].start 3412.72971875
transcript.pyannote[459].end 3413.67471875
transcript.pyannote[460].speaker SPEAKER_32
transcript.pyannote[460].start 3413.18534375
transcript.pyannote[460].end 3416.69534375
transcript.pyannote[461].speaker SPEAKER_32
transcript.pyannote[461].start 3416.86409375
transcript.pyannote[461].end 3422.19659375
transcript.pyannote[462].speaker SPEAKER_24
transcript.pyannote[462].start 3421.35284375
transcript.pyannote[462].end 3424.87971875
transcript.pyannote[463].speaker SPEAKER_24
transcript.pyannote[463].start 3425.13284375
transcript.pyannote[463].end 3427.07346875
transcript.pyannote[464].speaker SPEAKER_32
transcript.pyannote[464].start 3427.71471875
transcript.pyannote[464].end 3428.05221875
transcript.pyannote[465].speaker SPEAKER_24
transcript.pyannote[465].start 3428.08596875
transcript.pyannote[465].end 3429.40221875
transcript.pyannote[466].speaker SPEAKER_32
transcript.pyannote[466].start 3430.06034375
transcript.pyannote[466].end 3433.48596875
transcript.pyannote[467].speaker SPEAKER_32
transcript.pyannote[467].start 3434.09346875
transcript.pyannote[467].end 3439.34159375
transcript.pyannote[468].speaker SPEAKER_32
transcript.pyannote[468].start 3439.83096875
transcript.pyannote[468].end 3446.59784375
transcript.pyannote[469].speaker SPEAKER_32
transcript.pyannote[469].start 3447.27284375
transcript.pyannote[469].end 3447.96471875
transcript.pyannote[470].speaker SPEAKER_24
transcript.pyannote[470].start 3447.39096875
transcript.pyannote[470].end 3447.44159375
transcript.pyannote[471].speaker SPEAKER_24
transcript.pyannote[471].start 3447.96471875
transcript.pyannote[471].end 3448.04909375
transcript.pyannote[472].speaker SPEAKER_32
transcript.pyannote[472].start 3448.04909375
transcript.pyannote[472].end 3448.43721875
transcript.pyannote[473].speaker SPEAKER_24
transcript.pyannote[473].start 3448.43721875
transcript.pyannote[473].end 3448.45409375
transcript.pyannote[474].speaker SPEAKER_32
transcript.pyannote[474].start 3448.45409375
transcript.pyannote[474].end 3448.80846875
transcript.pyannote[475].speaker SPEAKER_24
transcript.pyannote[475].start 3448.47096875
transcript.pyannote[475].end 3465.12659375
transcript.pyannote[476].speaker SPEAKER_24
transcript.pyannote[476].start 3465.59909375
transcript.pyannote[476].end 3470.67846875
transcript.pyannote[477].speaker SPEAKER_24
transcript.pyannote[477].start 3471.30284375
transcript.pyannote[477].end 3489.35909375
transcript.pyannote[478].speaker SPEAKER_24
transcript.pyannote[478].start 3489.54471875
transcript.pyannote[478].end 3490.54034375
transcript.pyannote[479].speaker SPEAKER_24
transcript.pyannote[479].start 3490.89471875
transcript.pyannote[479].end 3492.34596875
transcript.pyannote[480].speaker SPEAKER_32
transcript.pyannote[480].start 3492.97034375
transcript.pyannote[480].end 3495.65346875
transcript.pyannote[481].speaker SPEAKER_32
transcript.pyannote[481].start 3496.27784375
transcript.pyannote[481].end 3497.56034375
transcript.pyannote[482].speaker SPEAKER_32
transcript.pyannote[482].start 3497.93159375
transcript.pyannote[482].end 3499.06221875
transcript.pyannote[483].speaker SPEAKER_32
transcript.pyannote[483].start 3499.38284375
transcript.pyannote[483].end 3500.05784375
transcript.pyannote[484].speaker SPEAKER_32
transcript.pyannote[484].start 3500.69909375
transcript.pyannote[484].end 3505.03596875
transcript.pyannote[485].speaker SPEAKER_32
transcript.pyannote[485].start 3505.62659375
transcript.pyannote[485].end 3515.51534375
transcript.pyannote[486].speaker SPEAKER_32
transcript.pyannote[486].start 3515.66721875
transcript.pyannote[486].end 3518.33346875
transcript.pyannote[487].speaker SPEAKER_32
transcript.pyannote[487].start 3519.37971875
transcript.pyannote[487].end 3520.57784375
transcript.pyannote[488].speaker SPEAKER_32
transcript.pyannote[488].start 3522.26534375
transcript.pyannote[488].end 3523.59846875
transcript.pyannote[489].speaker SPEAKER_32
transcript.pyannote[489].start 3523.98659375
transcript.pyannote[489].end 3524.86409375
transcript.pyannote[490].speaker SPEAKER_32
transcript.pyannote[490].start 3524.96534375
transcript.pyannote[490].end 3530.36534375
transcript.pyannote[491].speaker SPEAKER_32
transcript.pyannote[491].start 3530.77034375
transcript.pyannote[491].end 3533.20034375
transcript.pyannote[492].speaker SPEAKER_32
transcript.pyannote[492].start 3533.70659375
transcript.pyannote[492].end 3540.11909375
transcript.pyannote[493].speaker SPEAKER_00
transcript.pyannote[493].start 3533.84159375
transcript.pyannote[493].end 3534.02721875
transcript.pyannote[494].speaker SPEAKER_26
transcript.pyannote[494].start 3534.02721875
transcript.pyannote[494].end 3534.51659375
transcript.pyannote[495].speaker SPEAKER_00
transcript.pyannote[495].start 3534.51659375
transcript.pyannote[495].end 3534.56721875
transcript.pyannote[496].speaker SPEAKER_32
transcript.pyannote[496].start 3540.94596875
transcript.pyannote[496].end 3542.39721875
transcript.pyannote[497].speaker SPEAKER_32
transcript.pyannote[497].start 3542.95409375
transcript.pyannote[497].end 3546.90284375
transcript.pyannote[498].speaker SPEAKER_16
transcript.pyannote[498].start 3546.19409375
transcript.pyannote[498].end 3549.24846875
transcript.pyannote[499].speaker SPEAKER_32
transcript.pyannote[499].start 3547.47659375
transcript.pyannote[499].end 3547.83096875
transcript.pyannote[500].speaker SPEAKER_32
transcript.pyannote[500].start 3549.07971875
transcript.pyannote[500].end 3554.00721875
transcript.pyannote[501].speaker SPEAKER_16
transcript.pyannote[501].start 3554.00721875
transcript.pyannote[501].end 3554.20971875
transcript.pyannote[502].speaker SPEAKER_32
transcript.pyannote[502].start 3554.20971875
transcript.pyannote[502].end 3560.26784375
transcript.pyannote[503].speaker SPEAKER_16
transcript.pyannote[503].start 3554.27721875
transcript.pyannote[503].end 3554.39534375
transcript.pyannote[504].speaker SPEAKER_26
transcript.pyannote[504].start 3554.39534375
transcript.pyannote[504].end 3554.41221875
transcript.pyannote[505].speaker SPEAKER_32
transcript.pyannote[505].start 3560.68971875
transcript.pyannote[505].end 3563.65971875
transcript.pyannote[506].speaker SPEAKER_32
transcript.pyannote[506].start 3564.52034375
transcript.pyannote[506].end 3566.20784375
transcript.pyannote[507].speaker SPEAKER_32
transcript.pyannote[507].start 3567.15284375
transcript.pyannote[507].end 3567.42284375
transcript.pyannote[508].speaker SPEAKER_32
transcript.pyannote[508].start 3567.67596875
transcript.pyannote[508].end 3568.35096875
transcript.pyannote[509].speaker SPEAKER_32
transcript.pyannote[509].start 3568.92471875
transcript.pyannote[509].end 3569.86971875
transcript.pyannote[510].speaker SPEAKER_32
transcript.pyannote[510].start 3570.17346875
transcript.pyannote[510].end 3571.50659375
transcript.pyannote[511].speaker SPEAKER_32
transcript.pyannote[511].start 3572.43471875
transcript.pyannote[511].end 3579.96096875
transcript.pyannote[512].speaker SPEAKER_32
transcript.pyannote[512].start 3580.41659375
transcript.pyannote[512].end 3582.03659375
transcript.pyannote[513].speaker SPEAKER_32
transcript.pyannote[513].start 3582.74534375
transcript.pyannote[513].end 3584.50034375
transcript.pyannote[514].speaker SPEAKER_32
transcript.pyannote[514].start 3585.49596875
transcript.pyannote[514].end 3593.86596875
transcript.pyannote[515].speaker SPEAKER_32
transcript.pyannote[515].start 3594.45659375
transcript.pyannote[515].end 3597.98346875
transcript.pyannote[516].speaker SPEAKER_32
transcript.pyannote[516].start 3598.79346875
transcript.pyannote[516].end 3600.93659375
transcript.pyannote[517].speaker SPEAKER_32
transcript.pyannote[517].start 3601.74659375
transcript.pyannote[517].end 3605.18909375
transcript.pyannote[518].speaker SPEAKER_32
transcript.pyannote[518].start 3605.93159375
transcript.pyannote[518].end 3607.07909375
transcript.pyannote[519].speaker SPEAKER_32
transcript.pyannote[519].start 3607.48409375
transcript.pyannote[519].end 3608.66534375
transcript.pyannote[520].speaker SPEAKER_32
transcript.pyannote[520].start 3609.25596875
transcript.pyannote[520].end 3610.45409375
transcript.pyannote[521].speaker SPEAKER_32
transcript.pyannote[521].start 3610.84221875
transcript.pyannote[521].end 3611.82096875
transcript.pyannote[522].speaker SPEAKER_32
transcript.pyannote[522].start 3612.52971875
transcript.pyannote[522].end 3613.67721875
transcript.pyannote[523].speaker SPEAKER_32
transcript.pyannote[523].start 3613.89659375
transcript.pyannote[523].end 3616.22534375
transcript.pyannote[524].speaker SPEAKER_32
transcript.pyannote[524].start 3616.44471875
transcript.pyannote[524].end 3617.10284375
transcript.pyannote[525].speaker SPEAKER_32
transcript.pyannote[525].start 3618.40221875
transcript.pyannote[525].end 3620.41034375
transcript.pyannote[526].speaker SPEAKER_32
transcript.pyannote[526].start 3620.91659375
transcript.pyannote[526].end 3622.60409375
transcript.pyannote[527].speaker SPEAKER_32
transcript.pyannote[527].start 3623.17784375
transcript.pyannote[527].end 3625.77659375
transcript.pyannote[528].speaker SPEAKER_32
transcript.pyannote[528].start 3626.28284375
transcript.pyannote[528].end 3628.03784375
transcript.pyannote[529].speaker SPEAKER_32
transcript.pyannote[529].start 3628.71284375
transcript.pyannote[529].end 3629.25284375
transcript.pyannote[530].speaker SPEAKER_32
transcript.pyannote[530].start 3630.36659375
transcript.pyannote[530].end 3630.61971875
transcript.pyannote[531].speaker SPEAKER_32
transcript.pyannote[531].start 3630.95721875
transcript.pyannote[531].end 3634.60221875
transcript.pyannote[532].speaker SPEAKER_32
transcript.pyannote[532].start 3635.17596875
transcript.pyannote[532].end 3636.05346875
transcript.pyannote[533].speaker SPEAKER_32
transcript.pyannote[533].start 3636.25596875
transcript.pyannote[533].end 3636.96471875
transcript.pyannote[534].speaker SPEAKER_32
transcript.pyannote[534].start 3637.20096875
transcript.pyannote[534].end 3639.61409375
transcript.pyannote[535].speaker SPEAKER_32
transcript.pyannote[535].start 3640.05284375
transcript.pyannote[535].end 3641.40284375
transcript.pyannote[536].speaker SPEAKER_32
transcript.pyannote[536].start 3642.16221875
transcript.pyannote[536].end 3642.65159375
transcript.pyannote[537].speaker SPEAKER_32
transcript.pyannote[537].start 3643.19159375
transcript.pyannote[537].end 3643.83284375
transcript.pyannote[538].speaker SPEAKER_32
transcript.pyannote[538].start 3644.33909375
transcript.pyannote[538].end 3644.86221875
transcript.pyannote[539].speaker SPEAKER_32
transcript.pyannote[539].start 3645.48659375
transcript.pyannote[539].end 3646.41471875
transcript.pyannote[540].speaker SPEAKER_32
transcript.pyannote[540].start 3647.35971875
transcript.pyannote[540].end 3650.38034375
transcript.pyannote[541].speaker SPEAKER_32
transcript.pyannote[541].start 3651.56159375
transcript.pyannote[541].end 3654.86909375
transcript.pyannote[542].speaker SPEAKER_32
transcript.pyannote[542].start 3656.28659375
transcript.pyannote[542].end 3657.28221875
transcript.pyannote[543].speaker SPEAKER_32
transcript.pyannote[543].start 3658.10909375
transcript.pyannote[543].end 3660.85971875
transcript.pyannote[544].speaker SPEAKER_32
transcript.pyannote[544].start 3660.92721875
transcript.pyannote[544].end 3664.26846875
transcript.pyannote[545].speaker SPEAKER_32
transcript.pyannote[545].start 3664.82534375
transcript.pyannote[545].end 3666.14159375
transcript.pyannote[546].speaker SPEAKER_32
transcript.pyannote[546].start 3666.42846875
transcript.pyannote[546].end 3671.74409375
transcript.pyannote[547].speaker SPEAKER_32
transcript.pyannote[547].start 3671.82846875
transcript.pyannote[547].end 3672.33471875
transcript.pyannote[548].speaker SPEAKER_16
transcript.pyannote[548].start 3673.78596875
transcript.pyannote[548].end 3674.79846875
transcript.pyannote[549].speaker SPEAKER_16
transcript.pyannote[549].start 3675.05159375
transcript.pyannote[549].end 3681.29534375
transcript.pyannote[550].speaker SPEAKER_16
transcript.pyannote[550].start 3681.76784375
transcript.pyannote[550].end 3684.09659375
transcript.pyannote[551].speaker SPEAKER_16
transcript.pyannote[551].start 3684.34971875
transcript.pyannote[551].end 3686.22284375
transcript.pyannote[552].speaker SPEAKER_16
transcript.pyannote[552].start 3686.40846875
transcript.pyannote[552].end 3687.15096875
transcript.pyannote[553].speaker SPEAKER_32
transcript.pyannote[553].start 3693.83346875
transcript.pyannote[553].end 3700.16159375
transcript.pyannote[554].speaker SPEAKER_15
transcript.pyannote[554].start 3700.65096875
transcript.pyannote[554].end 3702.79409375
transcript.pyannote[555].speaker SPEAKER_07
transcript.pyannote[555].start 3706.96221875
transcript.pyannote[555].end 3710.97846875
transcript.pyannote[556].speaker SPEAKER_07
transcript.pyannote[556].start 3713.25659375
transcript.pyannote[556].end 3716.90159375
transcript.pyannote[557].speaker SPEAKER_29
transcript.pyannote[557].start 3730.28346875
transcript.pyannote[557].end 3730.68846875
transcript.pyannote[558].speaker SPEAKER_29
transcript.pyannote[558].start 3731.65034375
transcript.pyannote[558].end 3734.97471875
transcript.pyannote[559].speaker SPEAKER_07
transcript.pyannote[559].start 3735.34596875
transcript.pyannote[559].end 3736.64534375
transcript.pyannote[560].speaker SPEAKER_29
transcript.pyannote[560].start 3748.01909375
transcript.pyannote[560].end 3748.44096875
transcript.pyannote[561].speaker SPEAKER_16
transcript.pyannote[561].start 3748.17096875
transcript.pyannote[561].end 3748.18784375
transcript.pyannote[562].speaker SPEAKER_15
transcript.pyannote[562].start 3748.18784375
transcript.pyannote[562].end 3748.20471875
transcript.pyannote[563].speaker SPEAKER_16
transcript.pyannote[563].start 3748.20471875
transcript.pyannote[563].end 3748.32284375
transcript.pyannote[564].speaker SPEAKER_15
transcript.pyannote[564].start 3748.32284375
transcript.pyannote[564].end 3748.37346875
transcript.pyannote[565].speaker SPEAKER_15
transcript.pyannote[565].start 3748.44096875
transcript.pyannote[565].end 3748.59284375
transcript.pyannote[566].speaker SPEAKER_29
transcript.pyannote[566].start 3748.59284375
transcript.pyannote[566].end 3748.60971875
transcript.pyannote[567].speaker SPEAKER_16
transcript.pyannote[567].start 3748.60971875
transcript.pyannote[567].end 3748.64346875
transcript.pyannote[568].speaker SPEAKER_29
transcript.pyannote[568].start 3748.89659375
transcript.pyannote[568].end 3760.27034375
transcript.pyannote[569].speaker SPEAKER_29
transcript.pyannote[569].start 3760.48971875
transcript.pyannote[569].end 3761.53596875
transcript.pyannote[570].speaker SPEAKER_29
transcript.pyannote[570].start 3761.90721875
transcript.pyannote[570].end 3894.02159375
transcript.pyannote[571].speaker SPEAKER_07
transcript.pyannote[571].start 3893.59971875
transcript.pyannote[571].end 3895.52346875
transcript.pyannote[572].speaker SPEAKER_07
transcript.pyannote[572].start 3895.70909375
transcript.pyannote[572].end 3899.69159375
transcript.pyannote[573].speaker SPEAKER_07
transcript.pyannote[573].start 3900.02909375
transcript.pyannote[573].end 3902.83034375
transcript.pyannote[574].speaker SPEAKER_29
transcript.pyannote[574].start 3902.76284375
transcript.pyannote[574].end 3905.69909375
transcript.pyannote[575].speaker SPEAKER_07
transcript.pyannote[575].start 3902.88096875
transcript.pyannote[575].end 3902.96534375
transcript.pyannote[576].speaker SPEAKER_07
transcript.pyannote[576].start 3903.58971875
transcript.pyannote[576].end 3904.23096875
transcript.pyannote[577].speaker SPEAKER_07
transcript.pyannote[577].start 3905.69909375
transcript.pyannote[577].end 3907.55534375
transcript.pyannote[578].speaker SPEAKER_29
transcript.pyannote[578].start 3905.73284375
transcript.pyannote[578].end 3905.83409375
transcript.pyannote[579].speaker SPEAKER_29
transcript.pyannote[579].start 3906.44159375
transcript.pyannote[579].end 3916.80284375
transcript.pyannote[580].speaker SPEAKER_25
transcript.pyannote[580].start 3907.55534375
transcript.pyannote[580].end 3907.62284375
transcript.pyannote[581].speaker SPEAKER_07
transcript.pyannote[581].start 3907.62284375
transcript.pyannote[581].end 3908.02784375
transcript.pyannote[582].speaker SPEAKER_07
transcript.pyannote[582].start 3908.43284375
transcript.pyannote[582].end 3908.90534375
transcript.pyannote[583].speaker SPEAKER_07
transcript.pyannote[583].start 3909.54659375
transcript.pyannote[583].end 3910.55909375
transcript.pyannote[584].speaker SPEAKER_07
transcript.pyannote[584].start 3917.10659375
transcript.pyannote[584].end 3917.44409375
transcript.pyannote[585].speaker SPEAKER_07
transcript.pyannote[585].start 3917.66346875
transcript.pyannote[585].end 3921.39284375
transcript.pyannote[586].speaker SPEAKER_29
transcript.pyannote[586].start 3917.84909375
transcript.pyannote[586].end 3918.25409375
transcript.pyannote[587].speaker SPEAKER_29
transcript.pyannote[587].start 3920.53221875
transcript.pyannote[587].end 3924.10971875
transcript.pyannote[588].speaker SPEAKER_07
transcript.pyannote[588].start 3922.32096875
transcript.pyannote[588].end 3923.19846875
transcript.pyannote[589].speaker SPEAKER_29
transcript.pyannote[589].start 3924.59909375
transcript.pyannote[589].end 4000.01346875
transcript.pyannote[590].speaker SPEAKER_29
transcript.pyannote[590].start 4000.77284375
transcript.pyannote[590].end 4085.58659375
transcript.pyannote[591].speaker SPEAKER_29
transcript.pyannote[591].start 4086.32909375
transcript.pyannote[591].end 4123.90971875
transcript.pyannote[592].speaker SPEAKER_29
transcript.pyannote[592].start 4124.14596875
transcript.pyannote[592].end 4194.93659375
transcript.pyannote[593].speaker SPEAKER_29
transcript.pyannote[593].start 4195.34159375
transcript.pyannote[593].end 4221.21096875
transcript.pyannote[594].speaker SPEAKER_29
transcript.pyannote[594].start 4221.58221875
transcript.pyannote[594].end 4258.38659375
transcript.pyannote[595].speaker SPEAKER_16
transcript.pyannote[595].start 4258.92659375
transcript.pyannote[595].end 4260.93471875
transcript.pyannote[596].speaker SPEAKER_16
transcript.pyannote[596].start 4261.27221875
transcript.pyannote[596].end 4262.43659375
transcript.pyannote[597].speaker SPEAKER_16
transcript.pyannote[597].start 4262.80784375
transcript.pyannote[597].end 4265.15346875
transcript.pyannote[598].speaker SPEAKER_16
transcript.pyannote[598].start 4265.38971875
transcript.pyannote[598].end 4268.37659375
transcript.pyannote[599].speaker SPEAKER_16
transcript.pyannote[599].start 4268.78159375
transcript.pyannote[599].end 4269.94596875
transcript.pyannote[600].speaker SPEAKER_16
transcript.pyannote[600].start 4270.03034375
transcript.pyannote[600].end 4273.57409375
transcript.pyannote[601].speaker SPEAKER_16
transcript.pyannote[601].start 4273.64159375
transcript.pyannote[601].end 4274.63721875
transcript.pyannote[602].speaker SPEAKER_16
transcript.pyannote[602].start 4275.00846875
transcript.pyannote[602].end 4278.70409375
transcript.pyannote[603].speaker SPEAKER_26
transcript.pyannote[603].start 4277.52284375
transcript.pyannote[603].end 4277.80971875
transcript.pyannote[604].speaker SPEAKER_16
transcript.pyannote[604].start 4279.17659375
transcript.pyannote[604].end 4284.25596875
transcript.pyannote[605].speaker SPEAKER_16
transcript.pyannote[605].start 4284.57659375
transcript.pyannote[605].end 4285.84221875
transcript.pyannote[606].speaker SPEAKER_16
transcript.pyannote[606].start 4285.97721875
transcript.pyannote[606].end 4290.34784375
transcript.pyannote[607].speaker SPEAKER_16
transcript.pyannote[607].start 4290.53346875
transcript.pyannote[607].end 4292.64284375
transcript.pyannote[608].speaker SPEAKER_16
transcript.pyannote[608].start 4292.81159375
transcript.pyannote[608].end 4294.53284375
transcript.pyannote[609].speaker SPEAKER_16
transcript.pyannote[609].start 4294.70159375
transcript.pyannote[609].end 4297.87409375
transcript.pyannote[610].speaker SPEAKER_16
transcript.pyannote[610].start 4298.31284375
transcript.pyannote[610].end 4304.18534375
transcript.pyannote[611].speaker SPEAKER_16
transcript.pyannote[611].start 4304.52284375
transcript.pyannote[611].end 4311.42471875
transcript.pyannote[612].speaker SPEAKER_00
transcript.pyannote[612].start 4309.53471875
transcript.pyannote[612].end 4309.73721875
transcript.pyannote[613].speaker SPEAKER_16
transcript.pyannote[613].start 4311.82971875
transcript.pyannote[613].end 4313.48346875
transcript.pyannote[614].speaker SPEAKER_16
transcript.pyannote[614].start 4313.75346875
transcript.pyannote[614].end 4314.24284375
transcript.pyannote[615].speaker SPEAKER_16
transcript.pyannote[615].start 4314.32721875
transcript.pyannote[615].end 4315.82909375
transcript.pyannote[616].speaker SPEAKER_16
transcript.pyannote[616].start 4316.26784375
transcript.pyannote[616].end 4318.47846875
transcript.pyannote[617].speaker SPEAKER_16
transcript.pyannote[617].start 4318.69784375
transcript.pyannote[617].end 4323.92909375
transcript.pyannote[618].speaker SPEAKER_29
transcript.pyannote[618].start 4324.35096875
transcript.pyannote[618].end 4324.51971875
transcript.pyannote[619].speaker SPEAKER_16
transcript.pyannote[619].start 4324.51971875
transcript.pyannote[619].end 4328.24909375
transcript.pyannote[620].speaker SPEAKER_29
transcript.pyannote[620].start 4324.53659375
transcript.pyannote[620].end 4324.73909375
transcript.pyannote[621].speaker SPEAKER_29
transcript.pyannote[621].start 4328.45159375
transcript.pyannote[621].end 4337.56409375
transcript.pyannote[622].speaker SPEAKER_18
transcript.pyannote[622].start 4336.88909375
transcript.pyannote[622].end 4339.01534375
transcript.pyannote[623].speaker SPEAKER_29
transcript.pyannote[623].start 4339.16721875
transcript.pyannote[623].end 4339.23471875
transcript.pyannote[624].speaker SPEAKER_18
transcript.pyannote[624].start 4339.23471875
transcript.pyannote[624].end 4346.40659375
transcript.pyannote[625].speaker SPEAKER_29
transcript.pyannote[625].start 4339.25159375
transcript.pyannote[625].end 4339.26846875
transcript.pyannote[626].speaker SPEAKER_25
transcript.pyannote[626].start 4344.60096875
transcript.pyannote[626].end 4345.07346875
transcript.pyannote[627].speaker SPEAKER_18
transcript.pyannote[627].start 4347.14909375
transcript.pyannote[627].end 4349.15721875
transcript.pyannote[628].speaker SPEAKER_25
transcript.pyannote[628].start 4349.15721875
transcript.pyannote[628].end 4349.46096875
transcript.pyannote[629].speaker SPEAKER_18
transcript.pyannote[629].start 4349.73096875
transcript.pyannote[629].end 4368.74909375
transcript.pyannote[630].speaker SPEAKER_00
transcript.pyannote[630].start 4361.72909375
transcript.pyannote[630].end 4361.74596875
transcript.pyannote[631].speaker SPEAKER_29
transcript.pyannote[631].start 4361.74596875
transcript.pyannote[631].end 4362.16784375
transcript.pyannote[632].speaker SPEAKER_29
transcript.pyannote[632].start 4368.59721875
transcript.pyannote[632].end 4447.47096875
transcript.pyannote[633].speaker SPEAKER_18
transcript.pyannote[633].start 4371.98909375
transcript.pyannote[633].end 4372.34346875
transcript.pyannote[634].speaker SPEAKER_29
transcript.pyannote[634].start 4447.58909375
transcript.pyannote[634].end 4514.27909375
transcript.pyannote[635].speaker SPEAKER_29
transcript.pyannote[635].start 4514.80221875
transcript.pyannote[635].end 4563.75659375
transcript.pyannote[636].speaker SPEAKER_16
transcript.pyannote[636].start 4564.31346875
transcript.pyannote[636].end 4567.50284375
transcript.pyannote[637].speaker SPEAKER_16
transcript.pyannote[637].start 4567.85721875
transcript.pyannote[637].end 4572.37971875
transcript.pyannote[638].speaker SPEAKER_16
transcript.pyannote[638].start 4572.73409375
transcript.pyannote[638].end 4575.13034375
transcript.pyannote[639].speaker SPEAKER_16
transcript.pyannote[639].start 4575.45096875
transcript.pyannote[639].end 4576.44659375
transcript.pyannote[640].speaker SPEAKER_16
transcript.pyannote[640].start 4576.69971875
transcript.pyannote[640].end 4579.26471875
transcript.pyannote[641].speaker SPEAKER_29
transcript.pyannote[641].start 4578.94409375
transcript.pyannote[641].end 4579.21409375
transcript.pyannote[642].speaker SPEAKER_16
transcript.pyannote[642].start 4579.50096875
transcript.pyannote[642].end 4583.21346875
transcript.pyannote[643].speaker SPEAKER_29
transcript.pyannote[643].start 4582.85909375
transcript.pyannote[643].end 4586.87534375
transcript.pyannote[644].speaker SPEAKER_08
transcript.pyannote[644].start 4583.21346875
transcript.pyannote[644].end 4584.49596875
transcript.pyannote[645].speaker SPEAKER_08
transcript.pyannote[645].start 4585.54221875
transcript.pyannote[645].end 4595.85284375
transcript.pyannote[646].speaker SPEAKER_29
transcript.pyannote[646].start 4594.77284375
transcript.pyannote[646].end 4595.17784375
transcript.pyannote[647].speaker SPEAKER_08
transcript.pyannote[647].start 4596.44346875
transcript.pyannote[647].end 4603.12596875
transcript.pyannote[648].speaker SPEAKER_29
transcript.pyannote[648].start 4602.40034375
transcript.pyannote[648].end 4676.11034375
transcript.pyannote[649].speaker SPEAKER_25
transcript.pyannote[649].start 4675.51971875
transcript.pyannote[649].end 4675.53659375
transcript.pyannote[650].speaker SPEAKER_25
transcript.pyannote[650].start 4675.55346875
transcript.pyannote[650].end 4675.58721875
transcript.pyannote[651].speaker SPEAKER_28
transcript.pyannote[651].start 4676.11034375
transcript.pyannote[651].end 4676.12721875
transcript.pyannote[652].speaker SPEAKER_28
transcript.pyannote[652].start 4678.96221875
transcript.pyannote[652].end 4684.42971875
transcript.pyannote[653].speaker SPEAKER_15
transcript.pyannote[653].start 4684.73346875
transcript.pyannote[653].end 4687.16346875
transcript.pyannote[654].speaker SPEAKER_28
transcript.pyannote[654].start 4687.07909375
transcript.pyannote[654].end 4687.12971875
transcript.pyannote[655].speaker SPEAKER_28
transcript.pyannote[655].start 4687.16346875
transcript.pyannote[655].end 4687.33221875
transcript.pyannote[656].speaker SPEAKER_15
transcript.pyannote[656].start 4687.33221875
transcript.pyannote[656].end 4691.31471875
transcript.pyannote[657].speaker SPEAKER_28
transcript.pyannote[657].start 4687.36596875
transcript.pyannote[657].end 4687.38284375
transcript.pyannote[658].speaker SPEAKER_28
transcript.pyannote[658].start 4691.60159375
transcript.pyannote[658].end 4701.03471875
transcript.pyannote[659].speaker SPEAKER_15
transcript.pyannote[659].start 4702.21596875
transcript.pyannote[659].end 4703.02596875
transcript.pyannote[660].speaker SPEAKER_07
transcript.pyannote[660].start 4706.23221875
transcript.pyannote[660].end 4710.21471875
transcript.pyannote[661].speaker SPEAKER_07
transcript.pyannote[661].start 4711.71659375
transcript.pyannote[661].end 4716.81284375
transcript.pyannote[662].speaker SPEAKER_21
transcript.pyannote[662].start 4730.78534375
transcript.pyannote[662].end 4739.20596875
transcript.pyannote[663].speaker SPEAKER_07
transcript.pyannote[663].start 4738.91909375
transcript.pyannote[663].end 4741.75409375
transcript.pyannote[664].speaker SPEAKER_21
transcript.pyannote[664].start 4753.56659375
transcript.pyannote[664].end 4754.30909375
transcript.pyannote[665].speaker SPEAKER_21
transcript.pyannote[665].start 4754.69721875
transcript.pyannote[665].end 4757.32971875
transcript.pyannote[666].speaker SPEAKER_21
transcript.pyannote[666].start 4757.66721875
transcript.pyannote[666].end 4758.17346875
transcript.pyannote[667].speaker SPEAKER_21
transcript.pyannote[667].start 4758.47721875
transcript.pyannote[667].end 4771.42034375
transcript.pyannote[668].speaker SPEAKER_21
transcript.pyannote[668].start 4771.58909375
transcript.pyannote[668].end 4797.08721875
transcript.pyannote[669].speaker SPEAKER_21
transcript.pyannote[669].start 4797.62721875
transcript.pyannote[669].end 4804.32659375
transcript.pyannote[670].speaker SPEAKER_21
transcript.pyannote[670].start 4804.56284375
transcript.pyannote[670].end 4805.05221875
transcript.pyannote[671].speaker SPEAKER_21
transcript.pyannote[671].start 4805.67659375
transcript.pyannote[671].end 4808.88284375
transcript.pyannote[672].speaker SPEAKER_16
transcript.pyannote[672].start 4809.28784375
transcript.pyannote[672].end 4809.70971875
transcript.pyannote[673].speaker SPEAKER_21
transcript.pyannote[673].start 4809.70971875
transcript.pyannote[673].end 4810.77284375
transcript.pyannote[674].speaker SPEAKER_16
transcript.pyannote[674].start 4810.03034375
transcript.pyannote[674].end 4810.50284375
transcript.pyannote[675].speaker SPEAKER_16
transcript.pyannote[675].start 4810.77284375
transcript.pyannote[675].end 4812.30846875
transcript.pyannote[676].speaker SPEAKER_16
transcript.pyannote[676].start 4812.59534375
transcript.pyannote[676].end 4816.98284375
transcript.pyannote[677].speaker SPEAKER_16
transcript.pyannote[677].start 4817.10096875
transcript.pyannote[677].end 4819.46346875
transcript.pyannote[678].speaker SPEAKER_16
transcript.pyannote[678].start 4819.61534375
transcript.pyannote[678].end 4820.93159375
transcript.pyannote[679].speaker SPEAKER_16
transcript.pyannote[679].start 4821.25221875
transcript.pyannote[679].end 4822.39971875
transcript.pyannote[680].speaker SPEAKER_16
transcript.pyannote[680].start 4822.55159375
transcript.pyannote[680].end 4824.44159375
transcript.pyannote[681].speaker SPEAKER_16
transcript.pyannote[681].start 4824.50909375
transcript.pyannote[681].end 4825.65659375
transcript.pyannote[682].speaker SPEAKER_16
transcript.pyannote[682].start 4825.97721875
transcript.pyannote[682].end 4827.31034375
transcript.pyannote[683].speaker SPEAKER_16
transcript.pyannote[683].start 4827.47909375
transcript.pyannote[683].end 4828.64346875
transcript.pyannote[684].speaker SPEAKER_16
transcript.pyannote[684].start 4829.14971875
transcript.pyannote[684].end 4832.40659375
transcript.pyannote[685].speaker SPEAKER_16
transcript.pyannote[685].start 4832.69346875
transcript.pyannote[685].end 4834.97159375
transcript.pyannote[686].speaker SPEAKER_16
transcript.pyannote[686].start 4835.25846875
transcript.pyannote[686].end 4836.20346875
transcript.pyannote[687].speaker SPEAKER_16
transcript.pyannote[687].start 4836.37221875
transcript.pyannote[687].end 4843.02096875
transcript.pyannote[688].speaker SPEAKER_21
transcript.pyannote[688].start 4843.18971875
transcript.pyannote[688].end 4846.78409375
transcript.pyannote[689].speaker SPEAKER_16
transcript.pyannote[689].start 4846.86846875
transcript.pyannote[689].end 4850.41221875
transcript.pyannote[690].speaker SPEAKER_16
transcript.pyannote[690].start 4850.68221875
transcript.pyannote[690].end 4852.47096875
transcript.pyannote[691].speaker SPEAKER_16
transcript.pyannote[691].start 4852.80846875
transcript.pyannote[691].end 4853.61846875
transcript.pyannote[692].speaker SPEAKER_16
transcript.pyannote[692].start 4853.66909375
transcript.pyannote[692].end 4857.02721875
transcript.pyannote[693].speaker SPEAKER_16
transcript.pyannote[693].start 4857.60096875
transcript.pyannote[693].end 4858.69784375
transcript.pyannote[694].speaker SPEAKER_21
transcript.pyannote[694].start 4859.05221875
transcript.pyannote[694].end 4861.49909375
transcript.pyannote[695].speaker SPEAKER_21
transcript.pyannote[695].start 4862.00534375
transcript.pyannote[695].end 4863.55784375
transcript.pyannote[696].speaker SPEAKER_21
transcript.pyannote[696].start 4864.16534375
transcript.pyannote[696].end 4866.64596875
transcript.pyannote[697].speaker SPEAKER_21
transcript.pyannote[697].start 4866.93284375
transcript.pyannote[697].end 4886.37284375
transcript.pyannote[698].speaker SPEAKER_21
transcript.pyannote[698].start 4886.38971875
transcript.pyannote[698].end 4886.44034375
transcript.pyannote[699].speaker SPEAKER_21
transcript.pyannote[699].start 4886.49096875
transcript.pyannote[699].end 4891.94159375
transcript.pyannote[700].speaker SPEAKER_16
transcript.pyannote[700].start 4892.38034375
transcript.pyannote[700].end 4892.39721875
transcript.pyannote[701].speaker SPEAKER_21
transcript.pyannote[701].start 4892.39721875
transcript.pyannote[701].end 4892.44784375
transcript.pyannote[702].speaker SPEAKER_16
transcript.pyannote[702].start 4892.44784375
transcript.pyannote[702].end 4894.37159375
transcript.pyannote[703].speaker SPEAKER_21
transcript.pyannote[703].start 4895.43471875
transcript.pyannote[703].end 4895.45159375
transcript.pyannote[704].speaker SPEAKER_16
transcript.pyannote[704].start 4895.45159375
transcript.pyannote[704].end 4895.48534375
transcript.pyannote[705].speaker SPEAKER_21
transcript.pyannote[705].start 4895.48534375
transcript.pyannote[705].end 4897.32471875
transcript.pyannote[706].speaker SPEAKER_16
transcript.pyannote[706].start 4895.55284375
transcript.pyannote[706].end 4900.02471875
transcript.pyannote[707].speaker SPEAKER_21
transcript.pyannote[707].start 4900.02471875
transcript.pyannote[707].end 4900.15971875
transcript.pyannote[708].speaker SPEAKER_21
transcript.pyannote[708].start 4900.39596875
transcript.pyannote[708].end 4905.37409375
transcript.pyannote[709].speaker SPEAKER_21
transcript.pyannote[709].start 4906.01534375
transcript.pyannote[709].end 4909.55909375
transcript.pyannote[710].speaker SPEAKER_21
transcript.pyannote[710].start 4909.98096875
transcript.pyannote[710].end 4912.34346875
transcript.pyannote[711].speaker SPEAKER_21
transcript.pyannote[711].start 4913.47409375
transcript.pyannote[711].end 4913.96346875
transcript.pyannote[712].speaker SPEAKER_16
transcript.pyannote[712].start 4913.96346875
transcript.pyannote[712].end 4915.56659375
transcript.pyannote[713].speaker SPEAKER_16
transcript.pyannote[713].start 4916.02221875
transcript.pyannote[713].end 4920.03846875
transcript.pyannote[714].speaker SPEAKER_16
transcript.pyannote[714].start 4920.27471875
transcript.pyannote[714].end 4924.99971875
transcript.pyannote[715].speaker SPEAKER_16
transcript.pyannote[715].start 4925.13471875
transcript.pyannote[715].end 4925.92784375
transcript.pyannote[716].speaker SPEAKER_16
transcript.pyannote[716].start 4926.09659375
transcript.pyannote[716].end 4927.22721875
transcript.pyannote[717].speaker SPEAKER_16
transcript.pyannote[717].start 4927.42971875
transcript.pyannote[717].end 4928.03721875
transcript.pyannote[718].speaker SPEAKER_16
transcript.pyannote[718].start 4928.18909375
transcript.pyannote[718].end 4929.21846875
transcript.pyannote[719].speaker SPEAKER_16
transcript.pyannote[719].start 4929.75846875
transcript.pyannote[719].end 4931.68221875
transcript.pyannote[720].speaker SPEAKER_16
transcript.pyannote[720].start 4931.93534375
transcript.pyannote[720].end 4935.34409375
transcript.pyannote[721].speaker SPEAKER_16
transcript.pyannote[721].start 4935.56346875
transcript.pyannote[721].end 4936.01909375
transcript.pyannote[722].speaker SPEAKER_16
transcript.pyannote[722].start 4936.30596875
transcript.pyannote[722].end 4937.80784375
transcript.pyannote[723].speaker SPEAKER_16
transcript.pyannote[723].start 4937.94284375
transcript.pyannote[723].end 4939.15784375
transcript.pyannote[724].speaker SPEAKER_16
transcript.pyannote[724].start 4939.47846875
transcript.pyannote[724].end 4945.28346875
transcript.pyannote[725].speaker SPEAKER_21
transcript.pyannote[725].start 4945.72221875
transcript.pyannote[725].end 4945.75596875
transcript.pyannote[726].speaker SPEAKER_16
transcript.pyannote[726].start 4945.75596875
transcript.pyannote[726].end 4945.78971875
transcript.pyannote[727].speaker SPEAKER_21
transcript.pyannote[727].start 4945.78971875
transcript.pyannote[727].end 4947.69659375
transcript.pyannote[728].speaker SPEAKER_16
transcript.pyannote[728].start 4948.13534375
transcript.pyannote[728].end 4948.32096875
transcript.pyannote[729].speaker SPEAKER_16
transcript.pyannote[729].start 4948.72596875
transcript.pyannote[729].end 4953.87284375
transcript.pyannote[730].speaker SPEAKER_21
transcript.pyannote[730].start 4953.87284375
transcript.pyannote[730].end 4955.47596875
transcript.pyannote[731].speaker SPEAKER_16
transcript.pyannote[731].start 4955.35784375
transcript.pyannote[731].end 4959.25596875
transcript.pyannote[732].speaker SPEAKER_16
transcript.pyannote[732].start 4959.55971875
transcript.pyannote[732].end 4961.06159375
transcript.pyannote[733].speaker SPEAKER_16
transcript.pyannote[733].start 4961.38221875
transcript.pyannote[733].end 4962.42846875
transcript.pyannote[734].speaker SPEAKER_16
transcript.pyannote[734].start 4962.63096875
transcript.pyannote[734].end 4963.62659375
transcript.pyannote[735].speaker SPEAKER_16
transcript.pyannote[735].start 4963.89659375
transcript.pyannote[735].end 4968.46971875
transcript.pyannote[736].speaker SPEAKER_16
transcript.pyannote[736].start 4968.57096875
transcript.pyannote[736].end 4970.76471875
transcript.pyannote[737].speaker SPEAKER_16
transcript.pyannote[737].start 4970.96721875
transcript.pyannote[737].end 4975.16909375
transcript.pyannote[738].speaker SPEAKER_21
transcript.pyannote[738].start 4976.21534375
transcript.pyannote[738].end 4978.47659375
transcript.pyannote[739].speaker SPEAKER_21
transcript.pyannote[739].start 4978.78034375
transcript.pyannote[739].end 4980.48471875
transcript.pyannote[740].speaker SPEAKER_16
transcript.pyannote[740].start 4980.67034375
transcript.pyannote[740].end 4987.18409375
transcript.pyannote[741].speaker SPEAKER_16
transcript.pyannote[741].start 4987.45409375
transcript.pyannote[741].end 4988.02784375
transcript.pyannote[742].speaker SPEAKER_21
transcript.pyannote[742].start 4988.02784375
transcript.pyannote[742].end 5004.80159375
transcript.pyannote[743].speaker SPEAKER_21
transcript.pyannote[743].start 5005.64534375
transcript.pyannote[743].end 5022.90846875
transcript.pyannote[744].speaker SPEAKER_21
transcript.pyannote[744].start 5024.15721875
transcript.pyannote[744].end 5024.52846875
transcript.pyannote[745].speaker SPEAKER_21
transcript.pyannote[745].start 5024.88284375
transcript.pyannote[745].end 5028.03846875
transcript.pyannote[746].speaker SPEAKER_21
transcript.pyannote[746].start 5028.10596875
transcript.pyannote[746].end 5029.62471875
transcript.pyannote[747].speaker SPEAKER_21
transcript.pyannote[747].start 5030.19846875
transcript.pyannote[747].end 5031.51471875
transcript.pyannote[748].speaker SPEAKER_16
transcript.pyannote[748].start 5031.51471875
transcript.pyannote[748].end 5033.23596875
transcript.pyannote[749].speaker SPEAKER_16
transcript.pyannote[749].start 5033.37096875
transcript.pyannote[749].end 5036.84721875
transcript.pyannote[750].speaker SPEAKER_16
transcript.pyannote[750].start 5037.10034375
transcript.pyannote[750].end 5038.99034375
transcript.pyannote[751].speaker SPEAKER_16
transcript.pyannote[751].start 5039.17596875
transcript.pyannote[751].end 5042.55096875
transcript.pyannote[752].speaker SPEAKER_16
transcript.pyannote[752].start 5042.80409375
transcript.pyannote[752].end 5045.31846875
transcript.pyannote[753].speaker SPEAKER_16
transcript.pyannote[753].start 5045.50409375
transcript.pyannote[753].end 5050.95471875
transcript.pyannote[754].speaker SPEAKER_16
transcript.pyannote[754].start 5051.29221875
transcript.pyannote[754].end 5053.90784375
transcript.pyannote[755].speaker SPEAKER_16
transcript.pyannote[755].start 5054.21159375
transcript.pyannote[755].end 5057.62034375
transcript.pyannote[756].speaker SPEAKER_16
transcript.pyannote[756].start 5058.04221875
transcript.pyannote[756].end 5058.91971875
transcript.pyannote[757].speaker SPEAKER_16
transcript.pyannote[757].start 5059.18971875
transcript.pyannote[757].end 5061.28221875
transcript.pyannote[758].speaker SPEAKER_16
transcript.pyannote[758].start 5061.50159375
transcript.pyannote[758].end 5063.32409375
transcript.pyannote[759].speaker SPEAKER_16
transcript.pyannote[759].start 5063.52659375
transcript.pyannote[759].end 5064.84284375
transcript.pyannote[760].speaker SPEAKER_16
transcript.pyannote[760].start 5065.12971875
transcript.pyannote[760].end 5066.36159375
transcript.pyannote[761].speaker SPEAKER_16
transcript.pyannote[761].start 5066.53034375
transcript.pyannote[761].end 5068.47096875
transcript.pyannote[762].speaker SPEAKER_16
transcript.pyannote[762].start 5068.69034375
transcript.pyannote[762].end 5069.29784375
transcript.pyannote[763].speaker SPEAKER_16
transcript.pyannote[763].start 5069.48346875
transcript.pyannote[763].end 5070.00659375
transcript.pyannote[764].speaker SPEAKER_16
transcript.pyannote[764].start 5070.36096875
transcript.pyannote[764].end 5071.30596875
transcript.pyannote[765].speaker SPEAKER_16
transcript.pyannote[765].start 5071.39034375
transcript.pyannote[765].end 5075.54159375
transcript.pyannote[766].speaker SPEAKER_16
transcript.pyannote[766].start 5075.81159375
transcript.pyannote[766].end 5078.19096875
transcript.pyannote[767].speaker SPEAKER_21
transcript.pyannote[767].start 5076.04784375
transcript.pyannote[767].end 5076.21659375
transcript.pyannote[768].speaker SPEAKER_21
transcript.pyannote[768].start 5077.93784375
transcript.pyannote[768].end 5081.70096875
transcript.pyannote[769].speaker SPEAKER_21
transcript.pyannote[769].start 5081.85284375
transcript.pyannote[769].end 5100.48284375
transcript.pyannote[770].speaker SPEAKER_16
transcript.pyannote[770].start 5100.48284375
transcript.pyannote[770].end 5104.68471875
transcript.pyannote[771].speaker SPEAKER_16
transcript.pyannote[771].start 5105.15721875
transcript.pyannote[771].end 5109.47721875
transcript.pyannote[772].speaker SPEAKER_16
transcript.pyannote[772].start 5109.94971875
transcript.pyannote[772].end 5111.36721875
transcript.pyannote[773].speaker SPEAKER_16
transcript.pyannote[773].start 5111.58659375
transcript.pyannote[773].end 5113.29096875
transcript.pyannote[774].speaker SPEAKER_16
transcript.pyannote[774].start 5113.45971875
transcript.pyannote[774].end 5115.38346875
transcript.pyannote[775].speaker SPEAKER_16
transcript.pyannote[775].start 5115.55221875
transcript.pyannote[775].end 5117.03721875
transcript.pyannote[776].speaker SPEAKER_16
transcript.pyannote[776].start 5117.39159375
transcript.pyannote[776].end 5119.85534375
transcript.pyannote[777].speaker SPEAKER_21
transcript.pyannote[777].start 5120.24346875
transcript.pyannote[777].end 5122.48784375
transcript.pyannote[778].speaker SPEAKER_21
transcript.pyannote[778].start 5122.75784375
transcript.pyannote[778].end 5124.14159375
transcript.pyannote[779].speaker SPEAKER_21
transcript.pyannote[779].start 5124.56346875
transcript.pyannote[779].end 5148.61034375
transcript.pyannote[780].speaker SPEAKER_21
transcript.pyannote[780].start 5148.76221875
transcript.pyannote[780].end 5151.58034375
transcript.pyannote[781].speaker SPEAKER_21
transcript.pyannote[781].start 5151.73221875
transcript.pyannote[781].end 5154.66846875
transcript.pyannote[782].speaker SPEAKER_16
transcript.pyannote[782].start 5155.17471875
transcript.pyannote[782].end 5157.92534375
transcript.pyannote[783].speaker SPEAKER_16
transcript.pyannote[783].start 5158.34721875
transcript.pyannote[783].end 5159.98409375
transcript.pyannote[784].speaker SPEAKER_16
transcript.pyannote[784].start 5160.59159375
transcript.pyannote[784].end 5162.31284375
transcript.pyannote[785].speaker SPEAKER_16
transcript.pyannote[785].start 5162.51534375
transcript.pyannote[785].end 5164.79346875
transcript.pyannote[786].speaker SPEAKER_16
transcript.pyannote[786].start 5165.08034375
transcript.pyannote[786].end 5173.26471875
transcript.pyannote[787].speaker SPEAKER_06
transcript.pyannote[787].start 5173.26471875
transcript.pyannote[787].end 5173.60221875
transcript.pyannote[788].speaker SPEAKER_16
transcript.pyannote[788].start 5173.60221875
transcript.pyannote[788].end 5173.61909375
transcript.pyannote[789].speaker SPEAKER_06
transcript.pyannote[789].start 5173.61909375
transcript.pyannote[789].end 5173.65284375
transcript.pyannote[790].speaker SPEAKER_06
transcript.pyannote[790].start 5174.02409375
transcript.pyannote[790].end 5179.64346875
transcript.pyannote[791].speaker SPEAKER_06
transcript.pyannote[791].start 5179.86284375
transcript.pyannote[791].end 5197.96971875
transcript.pyannote[792].speaker SPEAKER_06
transcript.pyannote[792].start 5197.98659375
transcript.pyannote[792].end 5200.77096875
transcript.pyannote[793].speaker SPEAKER_06
transcript.pyannote[793].start 5200.83846875
transcript.pyannote[793].end 5205.14159375
transcript.pyannote[794].speaker SPEAKER_06
transcript.pyannote[794].start 5205.37784375
transcript.pyannote[794].end 5207.53784375
transcript.pyannote[795].speaker SPEAKER_06
transcript.pyannote[795].start 5207.67284375
transcript.pyannote[795].end 5213.12346875
transcript.pyannote[796].speaker SPEAKER_06
transcript.pyannote[796].start 5213.27534375
transcript.pyannote[796].end 5214.92909375
transcript.pyannote[797].speaker SPEAKER_06
transcript.pyannote[797].start 5215.13159375
transcript.pyannote[797].end 5221.76346875
transcript.pyannote[798].speaker SPEAKER_21
transcript.pyannote[798].start 5222.26971875
transcript.pyannote[798].end 5227.02846875
transcript.pyannote[799].speaker SPEAKER_21
transcript.pyannote[799].start 5227.65284375
transcript.pyannote[799].end 5232.04034375
transcript.pyannote[800].speaker SPEAKER_21
transcript.pyannote[800].start 5232.46221875
transcript.pyannote[800].end 5243.83596875
transcript.pyannote[801].speaker SPEAKER_21
transcript.pyannote[801].start 5244.03846875
transcript.pyannote[801].end 5250.14721875
transcript.pyannote[802].speaker SPEAKER_06
transcript.pyannote[802].start 5251.32846875
transcript.pyannote[802].end 5264.59221875
transcript.pyannote[803].speaker SPEAKER_06
transcript.pyannote[803].start 5264.99721875
transcript.pyannote[803].end 5270.31284375
transcript.pyannote[804].speaker SPEAKER_06
transcript.pyannote[804].start 5270.56596875
transcript.pyannote[804].end 5274.12659375
transcript.pyannote[805].speaker SPEAKER_06
transcript.pyannote[805].start 5274.36284375
transcript.pyannote[805].end 5276.10096875
transcript.pyannote[806].speaker SPEAKER_06
transcript.pyannote[806].start 5276.57346875
transcript.pyannote[806].end 5279.29034375
transcript.pyannote[807].speaker SPEAKER_06
transcript.pyannote[807].start 5279.50971875
transcript.pyannote[807].end 5284.87596875
transcript.pyannote[808].speaker SPEAKER_06
transcript.pyannote[808].start 5284.90971875
transcript.pyannote[808].end 5287.96409375
transcript.pyannote[809].speaker SPEAKER_06
transcript.pyannote[809].start 5288.06534375
transcript.pyannote[809].end 5290.79909375
transcript.pyannote[810].speaker SPEAKER_21
transcript.pyannote[810].start 5291.32221875
transcript.pyannote[810].end 5323.31721875
transcript.pyannote[811].speaker SPEAKER_21
transcript.pyannote[811].start 5323.50284375
transcript.pyannote[811].end 5328.76784375
transcript.pyannote[812].speaker SPEAKER_16
transcript.pyannote[812].start 5329.44284375
transcript.pyannote[812].end 5331.99096875
transcript.pyannote[813].speaker SPEAKER_16
transcript.pyannote[813].start 5332.44659375
transcript.pyannote[813].end 5334.57284375
transcript.pyannote[814].speaker SPEAKER_16
transcript.pyannote[814].start 5334.99471875
transcript.pyannote[814].end 5336.90159375
transcript.pyannote[815].speaker SPEAKER_16
transcript.pyannote[815].start 5337.22221875
transcript.pyannote[815].end 5338.53846875
transcript.pyannote[816].speaker SPEAKER_16
transcript.pyannote[816].start 5338.69034375
transcript.pyannote[816].end 5342.50409375
transcript.pyannote[817].speaker SPEAKER_16
transcript.pyannote[817].start 5342.80784375
transcript.pyannote[817].end 5345.49096875
transcript.pyannote[818].speaker SPEAKER_16
transcript.pyannote[818].start 5345.96346875
transcript.pyannote[818].end 5349.05159375
transcript.pyannote[819].speaker SPEAKER_16
transcript.pyannote[819].start 5349.42284375
transcript.pyannote[819].end 5349.86159375
transcript.pyannote[820].speaker SPEAKER_16
transcript.pyannote[820].start 5350.19909375
transcript.pyannote[820].end 5352.17346875
transcript.pyannote[821].speaker SPEAKER_16
transcript.pyannote[821].start 5352.61221875
transcript.pyannote[821].end 5355.26159375
transcript.pyannote[822].speaker SPEAKER_16
transcript.pyannote[822].start 5355.64971875
transcript.pyannote[822].end 5355.97034375
transcript.pyannote[823].speaker SPEAKER_16
transcript.pyannote[823].start 5356.27409375
transcript.pyannote[823].end 5356.98284375
transcript.pyannote[824].speaker SPEAKER_16
transcript.pyannote[824].start 5357.32034375
transcript.pyannote[824].end 5357.96159375
transcript.pyannote[825].speaker SPEAKER_16
transcript.pyannote[825].start 5358.09659375
transcript.pyannote[825].end 5362.56846875
transcript.pyannote[826].speaker SPEAKER_21
transcript.pyannote[826].start 5362.77096875
transcript.pyannote[826].end 5368.27221875
transcript.pyannote[827].speaker SPEAKER_21
transcript.pyannote[827].start 5368.91346875
transcript.pyannote[827].end 5376.13596875
transcript.pyannote[828].speaker SPEAKER_21
transcript.pyannote[828].start 5376.69284375
transcript.pyannote[828].end 5390.74971875
transcript.pyannote[829].speaker SPEAKER_21
transcript.pyannote[829].start 5390.81721875
transcript.pyannote[829].end 5407.72596875
transcript.pyannote[830].speaker SPEAKER_16
transcript.pyannote[830].start 5408.35034375
transcript.pyannote[830].end 5413.88534375
transcript.pyannote[831].speaker SPEAKER_06
transcript.pyannote[831].start 5413.88534375
transcript.pyannote[831].end 5426.17034375
transcript.pyannote[832].speaker SPEAKER_06
transcript.pyannote[832].start 5426.52471875
transcript.pyannote[832].end 5427.95909375
transcript.pyannote[833].speaker SPEAKER_06
transcript.pyannote[833].start 5428.22909375
transcript.pyannote[833].end 5446.06596875
transcript.pyannote[834].speaker SPEAKER_21
transcript.pyannote[834].start 5446.18409375
transcript.pyannote[834].end 5449.79534375
transcript.pyannote[835].speaker SPEAKER_21
transcript.pyannote[835].start 5449.84596875
transcript.pyannote[835].end 5450.70659375
transcript.pyannote[836].speaker SPEAKER_21
transcript.pyannote[836].start 5451.09471875
transcript.pyannote[836].end 5454.63846875
transcript.pyannote[837].speaker SPEAKER_21
transcript.pyannote[837].start 5455.02659375
transcript.pyannote[837].end 5456.68034375
transcript.pyannote[838].speaker SPEAKER_21
transcript.pyannote[838].start 5457.00096875
transcript.pyannote[838].end 5461.03409375
transcript.pyannote[839].speaker SPEAKER_21
transcript.pyannote[839].start 5461.40534375
transcript.pyannote[839].end 5461.92846875
transcript.pyannote[840].speaker SPEAKER_21
transcript.pyannote[840].start 5462.16471875
transcript.pyannote[840].end 5463.64971875
transcript.pyannote[841].speaker SPEAKER_21
transcript.pyannote[841].start 5464.22346875
transcript.pyannote[841].end 5476.37346875
transcript.pyannote[842].speaker SPEAKER_21
transcript.pyannote[842].start 5477.09909375
transcript.pyannote[842].end 5477.84159375
transcript.pyannote[843].speaker SPEAKER_21
transcript.pyannote[843].start 5478.38159375
transcript.pyannote[843].end 5481.23346875
transcript.pyannote[844].speaker SPEAKER_24
transcript.pyannote[844].start 5481.72284375
transcript.pyannote[844].end 5482.06034375
transcript.pyannote[845].speaker SPEAKER_24
transcript.pyannote[845].start 5482.39784375
transcript.pyannote[845].end 5485.78971875
transcript.pyannote[846].speaker SPEAKER_24
transcript.pyannote[846].start 5486.22846875
transcript.pyannote[846].end 5488.37159375
transcript.pyannote[847].speaker SPEAKER_24
transcript.pyannote[847].start 5489.67096875
transcript.pyannote[847].end 5493.38346875
transcript.pyannote[848].speaker SPEAKER_21
transcript.pyannote[848].start 5494.14284375
transcript.pyannote[848].end 5497.24784375
transcript.pyannote[849].speaker SPEAKER_24
transcript.pyannote[849].start 5497.09596875
transcript.pyannote[849].end 5502.49596875
transcript.pyannote[850].speaker SPEAKER_21
transcript.pyannote[850].start 5501.56784375
transcript.pyannote[850].end 5505.49971875
transcript.pyannote[851].speaker SPEAKER_21
transcript.pyannote[851].start 5506.02284375
transcript.pyannote[851].end 5506.91721875
transcript.pyannote[852].speaker SPEAKER_21
transcript.pyannote[852].start 5507.57534375
transcript.pyannote[852].end 5510.24159375
transcript.pyannote[853].speaker SPEAKER_24
transcript.pyannote[853].start 5510.39346875
transcript.pyannote[853].end 5515.42221875
transcript.pyannote[854].speaker SPEAKER_21
transcript.pyannote[854].start 5515.42221875
transcript.pyannote[854].end 5515.86096875
transcript.pyannote[855].speaker SPEAKER_24
transcript.pyannote[855].start 5515.43909375
transcript.pyannote[855].end 5515.96221875
transcript.pyannote[856].speaker SPEAKER_26
transcript.pyannote[856].start 5515.86096875
transcript.pyannote[856].end 5515.94534375
transcript.pyannote[857].speaker SPEAKER_26
transcript.pyannote[857].start 5515.96221875
transcript.pyannote[857].end 5516.02971875
transcript.pyannote[858].speaker SPEAKER_21
transcript.pyannote[858].start 5516.02971875
transcript.pyannote[858].end 5516.08034375
transcript.pyannote[859].speaker SPEAKER_26
transcript.pyannote[859].start 5516.08034375
transcript.pyannote[859].end 5516.09721875
transcript.pyannote[860].speaker SPEAKER_24
transcript.pyannote[860].start 5516.09721875
transcript.pyannote[860].end 5516.13096875
transcript.pyannote[861].speaker SPEAKER_21
transcript.pyannote[861].start 5516.13096875
transcript.pyannote[861].end 5524.61909375
transcript.pyannote[862].speaker SPEAKER_21
transcript.pyannote[862].start 5525.32784375
transcript.pyannote[862].end 5535.68909375
transcript.pyannote[863].speaker SPEAKER_21
transcript.pyannote[863].start 5536.09409375
transcript.pyannote[863].end 5543.45159375
transcript.pyannote[864].speaker SPEAKER_21
transcript.pyannote[864].start 5544.14346875
transcript.pyannote[864].end 5548.15971875
transcript.pyannote[865].speaker SPEAKER_21
transcript.pyannote[865].start 5548.61534375
transcript.pyannote[865].end 5570.48534375
transcript.pyannote[866].speaker SPEAKER_21
transcript.pyannote[866].start 5570.62034375
transcript.pyannote[866].end 5571.10971875
transcript.pyannote[867].speaker SPEAKER_21
transcript.pyannote[867].start 5571.73409375
transcript.pyannote[867].end 5576.81346875
transcript.pyannote[868].speaker SPEAKER_21
transcript.pyannote[868].start 5577.11721875
transcript.pyannote[868].end 5591.74784375
transcript.pyannote[869].speaker SPEAKER_21
transcript.pyannote[869].start 5592.64221875
transcript.pyannote[869].end 5593.23284375
transcript.pyannote[870].speaker SPEAKER_21
transcript.pyannote[870].start 5593.58721875
transcript.pyannote[870].end 5607.96471875
transcript.pyannote[871].speaker SPEAKER_16
transcript.pyannote[871].start 5609.46659375
transcript.pyannote[871].end 5611.76159375
transcript.pyannote[872].speaker SPEAKER_16
transcript.pyannote[872].start 5612.57159375
transcript.pyannote[872].end 5614.14096875
transcript.pyannote[873].speaker SPEAKER_16
transcript.pyannote[873].start 5614.83284375
transcript.pyannote[873].end 5617.02659375
transcript.pyannote[874].speaker SPEAKER_16
transcript.pyannote[874].start 5617.11096875
transcript.pyannote[874].end 5621.07659375
transcript.pyannote[875].speaker SPEAKER_16
transcript.pyannote[875].start 5621.29596875
transcript.pyannote[875].end 5625.29534375
transcript.pyannote[876].speaker SPEAKER_16
transcript.pyannote[876].start 5625.70034375
transcript.pyannote[876].end 5628.28221875
transcript.pyannote[877].speaker SPEAKER_16
transcript.pyannote[877].start 5628.63659375
transcript.pyannote[877].end 5630.98221875
transcript.pyannote[878].speaker SPEAKER_16
transcript.pyannote[878].start 5631.42096875
transcript.pyannote[878].end 5634.01971875
transcript.pyannote[879].speaker SPEAKER_16
transcript.pyannote[879].start 5634.34034375
transcript.pyannote[879].end 5636.78721875
transcript.pyannote[880].speaker SPEAKER_16
transcript.pyannote[880].start 5637.12471875
transcript.pyannote[880].end 5639.77409375
transcript.pyannote[881].speaker SPEAKER_16
transcript.pyannote[881].start 5639.90909375
transcript.pyannote[881].end 5641.63034375
transcript.pyannote[882].speaker SPEAKER_16
transcript.pyannote[882].start 5642.06909375
transcript.pyannote[882].end 5643.94221875
transcript.pyannote[883].speaker SPEAKER_16
transcript.pyannote[883].start 5644.36409375
transcript.pyannote[883].end 5646.72659375
transcript.pyannote[884].speaker SPEAKER_21
transcript.pyannote[884].start 5646.15284375
transcript.pyannote[884].end 5652.56534375
transcript.pyannote[885].speaker SPEAKER_21
transcript.pyannote[885].start 5652.83534375
transcript.pyannote[885].end 5654.70846875
transcript.pyannote[886].speaker SPEAKER_21
transcript.pyannote[886].start 5654.82659375
transcript.pyannote[886].end 5664.74909375
transcript.pyannote[887].speaker SPEAKER_16
transcript.pyannote[887].start 5664.74909375
transcript.pyannote[887].end 5670.40221875
transcript.pyannote[888].speaker SPEAKER_21
transcript.pyannote[888].start 5664.83346875
transcript.pyannote[888].end 5665.25534375
transcript.pyannote[889].speaker SPEAKER_21
transcript.pyannote[889].start 5670.40221875
transcript.pyannote[889].end 5670.41909375
transcript.pyannote[890].speaker SPEAKER_16
transcript.pyannote[890].start 5671.16159375
transcript.pyannote[890].end 5671.19534375
transcript.pyannote[891].speaker SPEAKER_21
transcript.pyannote[891].start 5671.19534375
transcript.pyannote[891].end 5676.62909375
transcript.pyannote[892].speaker SPEAKER_21
transcript.pyannote[892].start 5677.38846875
transcript.pyannote[892].end 5680.03784375
transcript.pyannote[893].speaker SPEAKER_21
transcript.pyannote[893].start 5680.62846875
transcript.pyannote[893].end 5681.52284375
transcript.pyannote[894].speaker SPEAKER_21
transcript.pyannote[894].start 5682.06284375
transcript.pyannote[894].end 5683.90221875
transcript.pyannote[895].speaker SPEAKER_21
transcript.pyannote[895].start 5684.64471875
transcript.pyannote[895].end 5686.09596875
transcript.pyannote[896].speaker SPEAKER_07
transcript.pyannote[896].start 5686.09596875
transcript.pyannote[896].end 5686.16346875
transcript.pyannote[897].speaker SPEAKER_21
transcript.pyannote[897].start 5702.68409375
transcript.pyannote[897].end 5710.12596875
transcript.pyannote[898].speaker SPEAKER_21
transcript.pyannote[898].start 5710.36221875
transcript.pyannote[898].end 5712.97784375
transcript.pyannote[899].speaker SPEAKER_21
transcript.pyannote[899].start 5714.10846875
transcript.pyannote[899].end 5717.24721875
transcript.pyannote[900].speaker SPEAKER_21
transcript.pyannote[900].start 5717.87159375
transcript.pyannote[900].end 5719.06971875
transcript.pyannote[901].speaker SPEAKER_21
transcript.pyannote[901].start 5719.25534375
transcript.pyannote[901].end 5719.89659375
transcript.pyannote[902].speaker SPEAKER_21
transcript.pyannote[902].start 5720.25096875
transcript.pyannote[902].end 5720.92596875
transcript.pyannote[903].speaker SPEAKER_21
transcript.pyannote[903].start 5721.12846875
transcript.pyannote[903].end 5726.34284375
transcript.pyannote[904].speaker SPEAKER_21
transcript.pyannote[904].start 5726.56221875
transcript.pyannote[904].end 5742.13784375
transcript.pyannote[905].speaker SPEAKER_21
transcript.pyannote[905].start 5742.49221875
transcript.pyannote[905].end 5747.97659375
transcript.pyannote[906].speaker SPEAKER_21
transcript.pyannote[906].start 5748.49971875
transcript.pyannote[906].end 5749.64721875
transcript.pyannote[907].speaker SPEAKER_27
transcript.pyannote[907].start 5749.88346875
transcript.pyannote[907].end 5753.59596875
transcript.pyannote[908].speaker SPEAKER_27
transcript.pyannote[908].start 5753.86596875
transcript.pyannote[908].end 5763.48471875
transcript.pyannote[909].speaker SPEAKER_21
transcript.pyannote[909].start 5763.09659375
transcript.pyannote[909].end 5774.26784375
transcript.pyannote[910].speaker SPEAKER_21
transcript.pyannote[910].start 5774.68971875
transcript.pyannote[910].end 5778.38534375
transcript.pyannote[911].speaker SPEAKER_21
transcript.pyannote[911].start 5778.63846875
transcript.pyannote[911].end 5782.70534375
transcript.pyannote[912].speaker SPEAKER_21
transcript.pyannote[912].start 5782.84034375
transcript.pyannote[912].end 5784.15659375
transcript.pyannote[913].speaker SPEAKER_21
transcript.pyannote[913].start 5784.47721875
transcript.pyannote[913].end 5786.24909375
transcript.pyannote[914].speaker SPEAKER_21
transcript.pyannote[914].start 5786.53596875
transcript.pyannote[914].end 5789.10096875
transcript.pyannote[915].speaker SPEAKER_21
transcript.pyannote[915].start 5789.35409375
transcript.pyannote[915].end 5792.69534375
transcript.pyannote[916].speaker SPEAKER_21
transcript.pyannote[916].start 5792.89784375
transcript.pyannote[916].end 5794.46721875
transcript.pyannote[917].speaker SPEAKER_27
transcript.pyannote[917].start 5795.15909375
transcript.pyannote[917].end 5798.85471875
transcript.pyannote[918].speaker SPEAKER_21
transcript.pyannote[918].start 5798.85471875
transcript.pyannote[918].end 5806.76909375
transcript.pyannote[919].speaker SPEAKER_07
transcript.pyannote[919].start 5807.41034375
transcript.pyannote[919].end 5807.74784375
transcript.pyannote[920].speaker SPEAKER_21
transcript.pyannote[920].start 5807.74784375
transcript.pyannote[920].end 5808.03471875
transcript.pyannote[921].speaker SPEAKER_07
transcript.pyannote[921].start 5808.03471875
transcript.pyannote[921].end 5808.47346875
transcript.pyannote[922].speaker SPEAKER_21
transcript.pyannote[922].start 5818.15971875
transcript.pyannote[922].end 5834.29221875
transcript.pyannote[923].speaker SPEAKER_21
transcript.pyannote[923].start 5834.76471875
transcript.pyannote[923].end 5842.22346875
transcript.pyannote[924].speaker SPEAKER_21
transcript.pyannote[924].start 5842.40909375
transcript.pyannote[924].end 5847.20159375
transcript.pyannote[925].speaker SPEAKER_21
transcript.pyannote[925].start 5847.75846875
transcript.pyannote[925].end 5852.90534375
transcript.pyannote[926].speaker SPEAKER_22
transcript.pyannote[926].start 5852.34846875
transcript.pyannote[926].end 5852.92221875
transcript.pyannote[927].speaker SPEAKER_21
transcript.pyannote[927].start 5852.92221875
transcript.pyannote[927].end 5852.97284375
transcript.pyannote[928].speaker SPEAKER_22
transcript.pyannote[928].start 5852.97284375
transcript.pyannote[928].end 5858.69346875
transcript.pyannote[929].speaker SPEAKER_21
transcript.pyannote[929].start 5859.13221875
transcript.pyannote[929].end 5861.12346875
transcript.pyannote[930].speaker SPEAKER_22
transcript.pyannote[930].start 5860.90409375
transcript.pyannote[930].end 5860.97159375
transcript.pyannote[931].speaker SPEAKER_21
transcript.pyannote[931].start 5861.51159375
transcript.pyannote[931].end 5864.09346875
transcript.pyannote[932].speaker SPEAKER_21
transcript.pyannote[932].start 5864.65034375
transcript.pyannote[932].end 5869.03784375
transcript.pyannote[933].speaker SPEAKER_21
transcript.pyannote[933].start 5869.66221875
transcript.pyannote[933].end 5873.10471875
transcript.pyannote[934].speaker SPEAKER_21
transcript.pyannote[934].start 5873.52659375
transcript.pyannote[934].end 5875.11284375
transcript.pyannote[935].speaker SPEAKER_21
transcript.pyannote[935].start 5875.93971875
transcript.pyannote[935].end 5889.42284375
transcript.pyannote[936].speaker SPEAKER_21
transcript.pyannote[936].start 5889.62534375
transcript.pyannote[936].end 5893.40534375
transcript.pyannote[937].speaker SPEAKER_21
transcript.pyannote[937].start 5893.97909375
transcript.pyannote[937].end 5903.42909375
transcript.pyannote[938].speaker SPEAKER_21
transcript.pyannote[938].start 5903.81721875
transcript.pyannote[938].end 5908.76159375
transcript.pyannote[939].speaker SPEAKER_22
transcript.pyannote[939].start 5909.41971875
transcript.pyannote[939].end 5914.07721875
transcript.pyannote[940].speaker SPEAKER_21
transcript.pyannote[940].start 5914.21221875
transcript.pyannote[940].end 5917.35096875
transcript.pyannote[941].speaker SPEAKER_21
transcript.pyannote[941].start 5917.63784375
transcript.pyannote[941].end 5918.61659375
transcript.pyannote[942].speaker SPEAKER_21
transcript.pyannote[942].start 5919.02159375
transcript.pyannote[942].end 5919.47721875
transcript.pyannote[943].speaker SPEAKER_21
transcript.pyannote[943].start 5920.40534375
transcript.pyannote[943].end 5924.03346875
transcript.pyannote[944].speaker SPEAKER_21
transcript.pyannote[944].start 5924.53971875
transcript.pyannote[944].end 5931.39096875
transcript.pyannote[945].speaker SPEAKER_21
transcript.pyannote[945].start 5932.21784375
transcript.pyannote[945].end 5937.93846875
transcript.pyannote[946].speaker SPEAKER_21
transcript.pyannote[946].start 5938.14096875
transcript.pyannote[946].end 5938.79909375
transcript.pyannote[947].speaker SPEAKER_21
transcript.pyannote[947].start 5938.98471875
transcript.pyannote[947].end 5939.54159375
transcript.pyannote[948].speaker SPEAKER_21
transcript.pyannote[948].start 5939.76096875
transcript.pyannote[948].end 5940.63846875
transcript.pyannote[949].speaker SPEAKER_21
transcript.pyannote[949].start 5940.89159375
transcript.pyannote[949].end 5942.81534375
transcript.pyannote[950].speaker SPEAKER_21
transcript.pyannote[950].start 5943.08534375
transcript.pyannote[950].end 5948.09721875
transcript.pyannote[951].speaker SPEAKER_21
transcript.pyannote[951].start 5948.38409375
transcript.pyannote[951].end 5949.63284375
transcript.pyannote[952].speaker SPEAKER_21
transcript.pyannote[952].start 5950.12221875
transcript.pyannote[952].end 5951.01659375
transcript.pyannote[953].speaker SPEAKER_21
transcript.pyannote[953].start 5951.28659375
transcript.pyannote[953].end 5951.94471875
transcript.pyannote[954].speaker SPEAKER_21
transcript.pyannote[954].start 5952.07971875
transcript.pyannote[954].end 5953.95284375
transcript.pyannote[955].speaker SPEAKER_21
transcript.pyannote[955].start 5954.07096875
transcript.pyannote[955].end 5956.45034375
transcript.pyannote[956].speaker SPEAKER_21
transcript.pyannote[956].start 5956.72034375
transcript.pyannote[956].end 5956.97346875
transcript.pyannote[957].speaker SPEAKER_21
transcript.pyannote[957].start 5957.29409375
transcript.pyannote[957].end 5960.31471875
transcript.pyannote[958].speaker SPEAKER_21
transcript.pyannote[958].start 5960.98971875
transcript.pyannote[958].end 5963.82471875
transcript.pyannote[959].speaker SPEAKER_21
transcript.pyannote[959].start 5964.06096875
transcript.pyannote[959].end 5965.03971875
transcript.pyannote[960].speaker SPEAKER_21
transcript.pyannote[960].start 5965.15784375
transcript.pyannote[960].end 5988.22596875
transcript.pyannote[961].speaker SPEAKER_22
transcript.pyannote[961].start 5988.41159375
transcript.pyannote[961].end 6019.84971875
transcript.pyannote[962].speaker SPEAKER_21
transcript.pyannote[962].start 6018.78659375
transcript.pyannote[962].end 6019.34346875
transcript.pyannote[963].speaker SPEAKER_21
transcript.pyannote[963].start 6019.59659375
transcript.pyannote[963].end 6021.55409375
transcript.pyannote[964].speaker SPEAKER_21
transcript.pyannote[964].start 6021.67221875
transcript.pyannote[964].end 6021.77346875
transcript.pyannote[965].speaker SPEAKER_21
transcript.pyannote[965].start 6021.82409375
transcript.pyannote[965].end 6021.90846875
transcript.pyannote[966].speaker SPEAKER_21
transcript.pyannote[966].start 6021.97596875
transcript.pyannote[966].end 6023.49471875
transcript.pyannote[967].speaker SPEAKER_21
transcript.pyannote[967].start 6023.79846875
transcript.pyannote[967].end 6047.06909375
transcript.pyannote[968].speaker SPEAKER_22
transcript.pyannote[968].start 6046.46159375
transcript.pyannote[968].end 6048.58784375
transcript.pyannote[969].speaker SPEAKER_21
transcript.pyannote[969].start 6048.18284375
transcript.pyannote[969].end 6052.92471875
transcript.pyannote[970].speaker SPEAKER_21
transcript.pyannote[970].start 6052.94159375
transcript.pyannote[970].end 6053.80221875
transcript.pyannote[971].speaker SPEAKER_21
transcript.pyannote[971].start 6054.62909375
transcript.pyannote[971].end 6059.08409375
transcript.pyannote[972].speaker SPEAKER_21
transcript.pyannote[972].start 6059.33721875
transcript.pyannote[972].end 6062.49284375
transcript.pyannote[973].speaker SPEAKER_21
transcript.pyannote[973].start 6062.69534375
transcript.pyannote[973].end 6064.07909375
transcript.pyannote[974].speaker SPEAKER_21
transcript.pyannote[974].start 6064.48409375
transcript.pyannote[974].end 6070.32284375
transcript.pyannote[975].speaker SPEAKER_21
transcript.pyannote[975].start 6070.93034375
transcript.pyannote[975].end 6072.44909375
transcript.pyannote[976].speaker SPEAKER_21
transcript.pyannote[976].start 6072.70221875
transcript.pyannote[976].end 6074.96346875
transcript.pyannote[977].speaker SPEAKER_21
transcript.pyannote[977].start 6075.95909375
transcript.pyannote[977].end 6079.31721875
transcript.pyannote[978].speaker SPEAKER_21
transcript.pyannote[978].start 6079.75596875
transcript.pyannote[978].end 6081.12284375
transcript.pyannote[979].speaker SPEAKER_16
transcript.pyannote[979].start 6082.20284375
transcript.pyannote[979].end 6087.29909375
transcript.pyannote[980].speaker SPEAKER_21
transcript.pyannote[980].start 6082.32096875
transcript.pyannote[980].end 6082.60784375
transcript.pyannote[981].speaker SPEAKER_21
transcript.pyannote[981].start 6087.94034375
transcript.pyannote[981].end 6096.46221875
transcript.pyannote[982].speaker SPEAKER_16
transcript.pyannote[982].start 6088.81784375
transcript.pyannote[982].end 6090.84284375
transcript.pyannote[983].speaker SPEAKER_21
transcript.pyannote[983].start 6096.78284375
transcript.pyannote[983].end 6100.32659375
transcript.pyannote[984].speaker SPEAKER_21
transcript.pyannote[984].start 6102.40221875
transcript.pyannote[984].end 6102.97596875
transcript.pyannote[985].speaker SPEAKER_21
transcript.pyannote[985].start 6103.16159375
transcript.pyannote[985].end 6103.78596875
transcript.pyannote[986].speaker SPEAKER_21
transcript.pyannote[986].start 6104.66346875
transcript.pyannote[986].end 6110.02971875
transcript.pyannote[987].speaker SPEAKER_21
transcript.pyannote[987].start 6110.26596875
transcript.pyannote[987].end 6120.13784375
transcript.pyannote[988].speaker SPEAKER_21
transcript.pyannote[988].start 6120.37409375
transcript.pyannote[988].end 6121.04909375
transcript.pyannote[989].speaker SPEAKER_21
transcript.pyannote[989].start 6121.48784375
transcript.pyannote[989].end 6124.89659375
transcript.pyannote[990].speaker SPEAKER_21
transcript.pyannote[990].start 6125.09909375
transcript.pyannote[990].end 6137.02971875
transcript.pyannote[991].speaker SPEAKER_21
transcript.pyannote[991].start 6137.24909375
transcript.pyannote[991].end 6163.06784375
transcript.pyannote[992].speaker SPEAKER_22
transcript.pyannote[992].start 6163.92846875
transcript.pyannote[992].end 6173.09159375
transcript.pyannote[993].speaker SPEAKER_21
transcript.pyannote[993].start 6173.09159375
transcript.pyannote[993].end 6180.07784375
transcript.pyannote[994].speaker SPEAKER_22
transcript.pyannote[994].start 6173.10846875
transcript.pyannote[994].end 6173.12534375
transcript.pyannote[995].speaker SPEAKER_21
transcript.pyannote[995].start 6180.31409375
transcript.pyannote[995].end 6181.73159375
transcript.pyannote[996].speaker SPEAKER_21
transcript.pyannote[996].start 6181.91721875
transcript.pyannote[996].end 6182.40659375
transcript.pyannote[997].speaker SPEAKER_21
transcript.pyannote[997].start 6183.94221875
transcript.pyannote[997].end 6187.57034375
transcript.pyannote[998].speaker SPEAKER_07
transcript.pyannote[998].start 6187.85721875
transcript.pyannote[998].end 6189.03846875
transcript.pyannote[999].speaker SPEAKER_21
transcript.pyannote[999].start 6192.07596875
transcript.pyannote[999].end 6200.02409375
transcript.pyannote[1000].speaker SPEAKER_21
transcript.pyannote[1000].start 6201.30659375
transcript.pyannote[1000].end 6212.22471875
transcript.pyannote[1001].speaker SPEAKER_06
transcript.pyannote[1001].start 6212.51159375
transcript.pyannote[1001].end 6213.89534375
transcript.pyannote[1002].speaker SPEAKER_06
transcript.pyannote[1002].start 6213.94596875
transcript.pyannote[1002].end 6231.63096875
transcript.pyannote[1003].speaker SPEAKER_06
transcript.pyannote[1003].start 6231.95159375
transcript.pyannote[1003].end 6245.89034375
transcript.pyannote[1004].speaker SPEAKER_21
transcript.pyannote[1004].start 6246.73409375
transcript.pyannote[1004].end 6248.67471875
transcript.pyannote[1005].speaker SPEAKER_06
transcript.pyannote[1005].start 6249.70409375
transcript.pyannote[1005].end 6254.29409375
transcript.pyannote[1006].speaker SPEAKER_21
transcript.pyannote[1006].start 6254.54721875
transcript.pyannote[1006].end 6258.27659375
transcript.pyannote[1007].speaker SPEAKER_21
transcript.pyannote[1007].start 6258.58034375
transcript.pyannote[1007].end 6274.52721875
transcript.pyannote[1008].speaker SPEAKER_06
transcript.pyannote[1008].start 6272.77221875
transcript.pyannote[1008].end 6278.52659375
transcript.pyannote[1009].speaker SPEAKER_06
transcript.pyannote[1009].start 6279.26909375
transcript.pyannote[1009].end 6284.61846875
transcript.pyannote[1010].speaker SPEAKER_06
transcript.pyannote[1010].start 6284.90534375
transcript.pyannote[1010].end 6288.82034375
transcript.pyannote[1011].speaker SPEAKER_21
transcript.pyannote[1011].start 6286.86284375
transcript.pyannote[1011].end 6287.21721875
transcript.pyannote[1012].speaker SPEAKER_21
transcript.pyannote[1012].start 6287.75721875
transcript.pyannote[1012].end 6292.06034375
transcript.pyannote[1013].speaker SPEAKER_06
transcript.pyannote[1013].start 6290.49096875
transcript.pyannote[1013].end 6290.89596875
transcript.pyannote[1014].speaker SPEAKER_06
transcript.pyannote[1014].start 6292.06034375
transcript.pyannote[1014].end 6292.56659375
transcript.pyannote[1015].speaker SPEAKER_21
transcript.pyannote[1015].start 6292.56659375
transcript.pyannote[1015].end 6296.21159375
transcript.pyannote[1016].speaker SPEAKER_21
transcript.pyannote[1016].start 6296.41409375
transcript.pyannote[1016].end 6298.82721875
transcript.pyannote[1017].speaker SPEAKER_21
transcript.pyannote[1017].start 6299.68784375
transcript.pyannote[1017].end 6300.91971875
transcript.pyannote[1018].speaker SPEAKER_21
transcript.pyannote[1018].start 6305.27346875
transcript.pyannote[1018].end 6305.64471875
transcript.pyannote[1019].speaker SPEAKER_21
transcript.pyannote[1019].start 6305.74596875
transcript.pyannote[1019].end 6307.11284375
transcript.pyannote[1020].speaker SPEAKER_21
transcript.pyannote[1020].start 6307.53471875
transcript.pyannote[1020].end 6308.00721875
transcript.pyannote[1021].speaker SPEAKER_21
transcript.pyannote[1021].start 6309.10409375
transcript.pyannote[1021].end 6321.79409375
transcript.pyannote[1022].speaker SPEAKER_21
transcript.pyannote[1022].start 6322.35096875
transcript.pyannote[1022].end 6323.02596875
transcript.pyannote[1023].speaker SPEAKER_21
transcript.pyannote[1023].start 6323.17784375
transcript.pyannote[1023].end 6334.78784375
transcript.pyannote[1024].speaker SPEAKER_21
transcript.pyannote[1024].start 6334.92284375
transcript.pyannote[1024].end 6336.61034375
transcript.pyannote[1025].speaker SPEAKER_21
transcript.pyannote[1025].start 6336.71159375
transcript.pyannote[1025].end 6339.51284375
transcript.pyannote[1026].speaker SPEAKER_21
transcript.pyannote[1026].start 6339.86721875
transcript.pyannote[1026].end 6341.11596875
transcript.pyannote[1027].speaker SPEAKER_21
transcript.pyannote[1027].start 6341.75721875
transcript.pyannote[1027].end 6357.95721875
transcript.pyannote[1028].speaker SPEAKER_21
transcript.pyannote[1028].start 6358.27784375
transcript.pyannote[1028].end 6369.36471875
transcript.pyannote[1029].speaker SPEAKER_21
transcript.pyannote[1029].start 6369.88784375
transcript.pyannote[1029].end 6373.22909375
transcript.pyannote[1030].speaker SPEAKER_21
transcript.pyannote[1030].start 6373.49909375
transcript.pyannote[1030].end 6377.61659375
transcript.pyannote[1031].speaker SPEAKER_11
transcript.pyannote[1031].start 6378.76409375
transcript.pyannote[1031].end 6382.44284375
transcript.pyannote[1032].speaker SPEAKER_11
transcript.pyannote[1032].start 6382.94909375
transcript.pyannote[1032].end 6384.33284375
transcript.pyannote[1033].speaker SPEAKER_11
transcript.pyannote[1033].start 6384.82221875
transcript.pyannote[1033].end 6389.14221875
transcript.pyannote[1034].speaker SPEAKER_11
transcript.pyannote[1034].start 6389.49659375
transcript.pyannote[1034].end 6391.75784375
transcript.pyannote[1035].speaker SPEAKER_11
transcript.pyannote[1035].start 6392.50034375
transcript.pyannote[1035].end 6393.17534375
transcript.pyannote[1036].speaker SPEAKER_11
transcript.pyannote[1036].start 6393.81659375
transcript.pyannote[1036].end 6396.56721875
transcript.pyannote[1037].speaker SPEAKER_11
transcript.pyannote[1037].start 6397.00596875
transcript.pyannote[1037].end 6398.27159375
transcript.pyannote[1038].speaker SPEAKER_11
transcript.pyannote[1038].start 6398.47409375
transcript.pyannote[1038].end 6399.14909375
transcript.pyannote[1039].speaker SPEAKER_11
transcript.pyannote[1039].start 6399.41909375
transcript.pyannote[1039].end 6400.07721875
transcript.pyannote[1040].speaker SPEAKER_11
transcript.pyannote[1040].start 6400.36409375
transcript.pyannote[1040].end 6404.17784375
transcript.pyannote[1041].speaker SPEAKER_11
transcript.pyannote[1041].start 6404.32971875
transcript.pyannote[1041].end 6407.01284375
transcript.pyannote[1042].speaker SPEAKER_11
transcript.pyannote[1042].start 6407.11409375
transcript.pyannote[1042].end 6408.97034375
transcript.pyannote[1043].speaker SPEAKER_11
transcript.pyannote[1043].start 6409.20659375
transcript.pyannote[1043].end 6411.09659375
transcript.pyannote[1044].speaker SPEAKER_21
transcript.pyannote[1044].start 6410.74221875
transcript.pyannote[1044].end 6419.48346875
transcript.pyannote[1045].speaker SPEAKER_21
transcript.pyannote[1045].start 6419.97284375
transcript.pyannote[1045].end 6469.97346875
transcript.pyannote[1046].speaker SPEAKER_11
transcript.pyannote[1046].start 6469.97346875
transcript.pyannote[1046].end 6474.09096875
transcript.pyannote[1047].speaker SPEAKER_11
transcript.pyannote[1047].start 6474.49596875
transcript.pyannote[1047].end 6478.64721875
transcript.pyannote[1048].speaker SPEAKER_11
transcript.pyannote[1048].start 6479.10284375
transcript.pyannote[1048].end 6481.78596875
transcript.pyannote[1049].speaker SPEAKER_11
transcript.pyannote[1049].start 6482.07284375
transcript.pyannote[1049].end 6485.93721875
transcript.pyannote[1050].speaker SPEAKER_11
transcript.pyannote[1050].start 6486.22409375
transcript.pyannote[1050].end 6489.71721875
transcript.pyannote[1051].speaker SPEAKER_11
transcript.pyannote[1051].start 6490.03784375
transcript.pyannote[1051].end 6495.26909375
transcript.pyannote[1052].speaker SPEAKER_21
transcript.pyannote[1052].start 6495.92721875
transcript.pyannote[1052].end 6500.68596875
transcript.pyannote[1053].speaker SPEAKER_11
transcript.pyannote[1053].start 6499.23471875
transcript.pyannote[1053].end 6501.19221875
transcript.pyannote[1054].speaker SPEAKER_21
transcript.pyannote[1054].start 6501.39471875
transcript.pyannote[1054].end 6519.11346875
transcript.pyannote[1055].speaker SPEAKER_21
transcript.pyannote[1055].start 6519.40034375
transcript.pyannote[1055].end 6540.39284375
transcript.pyannote[1056].speaker SPEAKER_21
transcript.pyannote[1056].start 6540.56159375
transcript.pyannote[1056].end 6542.53596875
transcript.pyannote[1057].speaker SPEAKER_21
transcript.pyannote[1057].start 6542.62034375
transcript.pyannote[1057].end 6554.44971875
transcript.pyannote[1058].speaker SPEAKER_16
transcript.pyannote[1058].start 6555.32721875
transcript.pyannote[1058].end 6558.49971875
transcript.pyannote[1059].speaker SPEAKER_07
transcript.pyannote[1059].start 6568.50659375
transcript.pyannote[1059].end 6573.13034375
transcript.pyannote[1060].speaker SPEAKER_07
transcript.pyannote[1060].start 6574.31159375
transcript.pyannote[1060].end 6577.38284375
transcript.pyannote[1061].speaker SPEAKER_07
transcript.pyannote[1061].start 6593.11034375
transcript.pyannote[1061].end 6597.68346875
transcript.pyannote[1062].speaker SPEAKER_35
transcript.pyannote[1062].start 6599.08409375
transcript.pyannote[1062].end 6601.39596875
transcript.pyannote[1063].speaker SPEAKER_07
transcript.pyannote[1063].start 6599.79284375
transcript.pyannote[1063].end 6602.52659375
transcript.pyannote[1064].speaker SPEAKER_35
transcript.pyannote[1064].start 6601.44659375
transcript.pyannote[1064].end 6605.81721875
transcript.pyannote[1065].speaker SPEAKER_35
transcript.pyannote[1065].start 6606.66096875
transcript.pyannote[1065].end 6609.19221875
transcript.pyannote[1066].speaker SPEAKER_07
transcript.pyannote[1066].start 6609.59721875
transcript.pyannote[1066].end 6610.84596875
transcript.pyannote[1067].speaker SPEAKER_35
transcript.pyannote[1067].start 6619.68846875
transcript.pyannote[1067].end 6619.75596875
transcript.pyannote[1068].speaker SPEAKER_16
transcript.pyannote[1068].start 6619.75596875
transcript.pyannote[1068].end 6620.51534375
transcript.pyannote[1069].speaker SPEAKER_35
transcript.pyannote[1069].start 6620.51534375
transcript.pyannote[1069].end 6621.00471875
transcript.pyannote[1070].speaker SPEAKER_16
transcript.pyannote[1070].start 6621.00471875
transcript.pyannote[1070].end 6621.79784375
transcript.pyannote[1071].speaker SPEAKER_35
transcript.pyannote[1071].start 6622.37159375
transcript.pyannote[1071].end 6623.83971875
transcript.pyannote[1072].speaker SPEAKER_35
transcript.pyannote[1072].start 6624.49784375
transcript.pyannote[1072].end 6630.50534375
transcript.pyannote[1073].speaker SPEAKER_35
transcript.pyannote[1073].start 6630.87659375
transcript.pyannote[1073].end 6633.77909375
transcript.pyannote[1074].speaker SPEAKER_35
transcript.pyannote[1074].start 6634.26846875
transcript.pyannote[1074].end 6635.75346875
transcript.pyannote[1075].speaker SPEAKER_35
transcript.pyannote[1075].start 6635.87159375
transcript.pyannote[1075].end 6636.73221875
transcript.pyannote[1076].speaker SPEAKER_35
transcript.pyannote[1076].start 6637.22159375
transcript.pyannote[1076].end 6638.53784375
transcript.pyannote[1077].speaker SPEAKER_35
transcript.pyannote[1077].start 6639.02721875
transcript.pyannote[1077].end 6641.60909375
transcript.pyannote[1078].speaker SPEAKER_35
transcript.pyannote[1078].start 6641.96346875
transcript.pyannote[1078].end 6643.09409375
transcript.pyannote[1079].speaker SPEAKER_35
transcript.pyannote[1079].start 6643.53284375
transcript.pyannote[1079].end 6648.20721875
transcript.pyannote[1080].speaker SPEAKER_35
transcript.pyannote[1080].start 6648.84846875
transcript.pyannote[1080].end 6649.32096875
transcript.pyannote[1081].speaker SPEAKER_35
transcript.pyannote[1081].start 6649.69221875
transcript.pyannote[1081].end 6655.61534375
transcript.pyannote[1082].speaker SPEAKER_35
transcript.pyannote[1082].start 6655.98659375
transcript.pyannote[1082].end 6658.09596875
transcript.pyannote[1083].speaker SPEAKER_35
transcript.pyannote[1083].start 6658.45034375
transcript.pyannote[1083].end 6659.86784375
transcript.pyannote[1084].speaker SPEAKER_35
transcript.pyannote[1084].start 6660.12096875
transcript.pyannote[1084].end 6665.63909375
transcript.pyannote[1085].speaker SPEAKER_35
transcript.pyannote[1085].start 6666.29721875
transcript.pyannote[1085].end 6668.74409375
transcript.pyannote[1086].speaker SPEAKER_35
transcript.pyannote[1086].start 6669.19971875
transcript.pyannote[1086].end 6672.81096875
transcript.pyannote[1087].speaker SPEAKER_35
transcript.pyannote[1087].start 6673.16534375
transcript.pyannote[1087].end 6674.71784375
transcript.pyannote[1088].speaker SPEAKER_35
transcript.pyannote[1088].start 6675.34221875
transcript.pyannote[1088].end 6676.50659375
transcript.pyannote[1089].speaker SPEAKER_35
transcript.pyannote[1089].start 6676.74284375
transcript.pyannote[1089].end 6677.85659375
transcript.pyannote[1090].speaker SPEAKER_35
transcript.pyannote[1090].start 6677.99159375
transcript.pyannote[1090].end 6678.86909375
transcript.pyannote[1091].speaker SPEAKER_35
transcript.pyannote[1091].start 6679.52721875
transcript.pyannote[1091].end 6680.79284375
transcript.pyannote[1092].speaker SPEAKER_35
transcript.pyannote[1092].start 6681.18096875
transcript.pyannote[1092].end 6682.04159375
transcript.pyannote[1093].speaker SPEAKER_35
transcript.pyannote[1093].start 6682.69971875
transcript.pyannote[1093].end 6683.64471875
transcript.pyannote[1094].speaker SPEAKER_35
transcript.pyannote[1094].start 6684.26909375
transcript.pyannote[1094].end 6685.53471875
transcript.pyannote[1095].speaker SPEAKER_35
transcript.pyannote[1095].start 6685.97346875
transcript.pyannote[1095].end 6687.50909375
transcript.pyannote[1096].speaker SPEAKER_35
transcript.pyannote[1096].start 6688.11659375
transcript.pyannote[1096].end 6689.55096875
transcript.pyannote[1097].speaker SPEAKER_35
transcript.pyannote[1097].start 6690.04034375
transcript.pyannote[1097].end 6692.11596875
transcript.pyannote[1098].speaker SPEAKER_35
transcript.pyannote[1098].start 6692.84159375
transcript.pyannote[1098].end 6696.01409375
transcript.pyannote[1099].speaker SPEAKER_35
transcript.pyannote[1099].start 6696.60471875
transcript.pyannote[1099].end 6697.21221875
transcript.pyannote[1100].speaker SPEAKER_35
transcript.pyannote[1100].start 6697.49909375
transcript.pyannote[1100].end 6698.27534375
transcript.pyannote[1101].speaker SPEAKER_35
transcript.pyannote[1101].start 6698.83221875
transcript.pyannote[1101].end 6703.37159375
transcript.pyannote[1102].speaker SPEAKER_35
transcript.pyannote[1102].start 6703.79346875
transcript.pyannote[1102].end 6705.90284375
transcript.pyannote[1103].speaker SPEAKER_35
transcript.pyannote[1103].start 6706.24034375
transcript.pyannote[1103].end 6707.99534375
transcript.pyannote[1104].speaker SPEAKER_35
transcript.pyannote[1104].start 6708.51846875
transcript.pyannote[1104].end 6710.29034375
transcript.pyannote[1105].speaker SPEAKER_35
transcript.pyannote[1105].start 6710.86409375
transcript.pyannote[1105].end 6712.80471875
transcript.pyannote[1106].speaker SPEAKER_35
transcript.pyannote[1106].start 6713.10846875
transcript.pyannote[1106].end 6714.27284375
transcript.pyannote[1107].speaker SPEAKER_35
transcript.pyannote[1107].start 6714.50909375
transcript.pyannote[1107].end 6715.92659375
transcript.pyannote[1108].speaker SPEAKER_35
transcript.pyannote[1108].start 6716.48346875
transcript.pyannote[1108].end 6719.48721875
transcript.pyannote[1109].speaker SPEAKER_35
transcript.pyannote[1109].start 6720.02721875
transcript.pyannote[1109].end 6723.80721875
transcript.pyannote[1110].speaker SPEAKER_35
transcript.pyannote[1110].start 6724.09409375
transcript.pyannote[1110].end 6725.89971875
transcript.pyannote[1111].speaker SPEAKER_35
transcript.pyannote[1111].start 6726.52409375
transcript.pyannote[1111].end 6730.55721875
transcript.pyannote[1112].speaker SPEAKER_35
transcript.pyannote[1112].start 6730.97909375
transcript.pyannote[1112].end 6733.88159375
transcript.pyannote[1113].speaker SPEAKER_35
transcript.pyannote[1113].start 6734.25284375
transcript.pyannote[1113].end 6735.77159375
transcript.pyannote[1114].speaker SPEAKER_35
transcript.pyannote[1114].start 6736.02471875
transcript.pyannote[1114].end 6738.10034375
transcript.pyannote[1115].speaker SPEAKER_35
transcript.pyannote[1115].start 6738.35346875
transcript.pyannote[1115].end 6742.11659375
transcript.pyannote[1116].speaker SPEAKER_35
transcript.pyannote[1116].start 6742.26846875
transcript.pyannote[1116].end 6743.29784375
transcript.pyannote[1117].speaker SPEAKER_35
transcript.pyannote[1117].start 6743.92221875
transcript.pyannote[1117].end 6744.66471875
transcript.pyannote[1118].speaker SPEAKER_35
transcript.pyannote[1118].start 6745.42409375
transcript.pyannote[1118].end 6752.25846875
transcript.pyannote[1119].speaker SPEAKER_35
transcript.pyannote[1119].start 6752.47784375
transcript.pyannote[1119].end 6754.51971875
transcript.pyannote[1120].speaker SPEAKER_35
transcript.pyannote[1120].start 6754.94159375
transcript.pyannote[1120].end 6756.03846875
transcript.pyannote[1121].speaker SPEAKER_35
transcript.pyannote[1121].start 6756.51096875
transcript.pyannote[1121].end 6758.28284375
transcript.pyannote[1122].speaker SPEAKER_16
transcript.pyannote[1122].start 6760.62846875
transcript.pyannote[1122].end 6767.17596875
transcript.pyannote[1123].speaker SPEAKER_35
transcript.pyannote[1123].start 6765.52221875
transcript.pyannote[1123].end 6765.97784375
transcript.pyannote[1124].speaker SPEAKER_16
transcript.pyannote[1124].start 6767.46284375
transcript.pyannote[1124].end 6769.09971875
transcript.pyannote[1125].speaker SPEAKER_35
transcript.pyannote[1125].start 6767.49659375
transcript.pyannote[1125].end 6767.95221875
transcript.pyannote[1126].speaker SPEAKER_16
transcript.pyannote[1126].start 6769.21784375
transcript.pyannote[1126].end 6772.93034375
transcript.pyannote[1127].speaker SPEAKER_35
transcript.pyannote[1127].start 6772.35659375
transcript.pyannote[1127].end 6773.80784375
transcript.pyannote[1128].speaker SPEAKER_35
transcript.pyannote[1128].start 6774.09471875
transcript.pyannote[1128].end 6776.35596875
transcript.pyannote[1129].speaker SPEAKER_35
transcript.pyannote[1129].start 6776.76096875
transcript.pyannote[1129].end 6777.16596875
transcript.pyannote[1130].speaker SPEAKER_25
transcript.pyannote[1130].start 6777.16596875
transcript.pyannote[1130].end 6777.26721875
transcript.pyannote[1131].speaker SPEAKER_35
transcript.pyannote[1131].start 6777.57096875
transcript.pyannote[1131].end 6780.89534375
transcript.pyannote[1132].speaker SPEAKER_35
transcript.pyannote[1132].start 6781.31721875
transcript.pyannote[1132].end 6783.13971875
transcript.pyannote[1133].speaker SPEAKER_35
transcript.pyannote[1133].start 6783.93284375
transcript.pyannote[1133].end 6784.59096875
transcript.pyannote[1134].speaker SPEAKER_35
transcript.pyannote[1134].start 6785.16471875
transcript.pyannote[1134].end 6787.07159375
transcript.pyannote[1135].speaker SPEAKER_35
transcript.pyannote[1135].start 6787.42596875
transcript.pyannote[1135].end 6789.55221875
transcript.pyannote[1136].speaker SPEAKER_35
transcript.pyannote[1136].start 6790.19346875
transcript.pyannote[1136].end 6790.59846875
transcript.pyannote[1137].speaker SPEAKER_35
transcript.pyannote[1137].start 6791.39159375
transcript.pyannote[1137].end 6794.02409375
transcript.pyannote[1138].speaker SPEAKER_35
transcript.pyannote[1138].start 6795.01971875
transcript.pyannote[1138].end 6796.11659375
transcript.pyannote[1139].speaker SPEAKER_35
transcript.pyannote[1139].start 6796.99409375
transcript.pyannote[1139].end 6801.58409375
transcript.pyannote[1140].speaker SPEAKER_35
transcript.pyannote[1140].start 6801.97221875
transcript.pyannote[1140].end 6802.88346875
transcript.pyannote[1141].speaker SPEAKER_35
transcript.pyannote[1141].start 6803.67659375
transcript.pyannote[1141].end 6805.14471875
transcript.pyannote[1142].speaker SPEAKER_35
transcript.pyannote[1142].start 6805.39784375
transcript.pyannote[1142].end 6807.01784375
transcript.pyannote[1143].speaker SPEAKER_35
transcript.pyannote[1143].start 6807.55784375
transcript.pyannote[1143].end 6808.62096875
transcript.pyannote[1144].speaker SPEAKER_35
transcript.pyannote[1144].start 6809.41409375
transcript.pyannote[1144].end 6811.55721875
transcript.pyannote[1145].speaker SPEAKER_35
transcript.pyannote[1145].start 6812.16471875
transcript.pyannote[1145].end 6813.37971875
transcript.pyannote[1146].speaker SPEAKER_35
transcript.pyannote[1146].start 6813.95346875
transcript.pyannote[1146].end 6817.04159375
transcript.pyannote[1147].speaker SPEAKER_35
transcript.pyannote[1147].start 6817.31159375
transcript.pyannote[1147].end 6818.93159375
transcript.pyannote[1148].speaker SPEAKER_35
transcript.pyannote[1148].start 6819.11721875
transcript.pyannote[1148].end 6821.93534375
transcript.pyannote[1149].speaker SPEAKER_35
transcript.pyannote[1149].start 6822.30659375
transcript.pyannote[1149].end 6823.23471875
transcript.pyannote[1150].speaker SPEAKER_35
transcript.pyannote[1150].start 6824.01096875
transcript.pyannote[1150].end 6824.53409375
transcript.pyannote[1151].speaker SPEAKER_35
transcript.pyannote[1151].start 6825.31034375
transcript.pyannote[1151].end 6827.06534375
transcript.pyannote[1152].speaker SPEAKER_35
transcript.pyannote[1152].start 6827.47034375
transcript.pyannote[1152].end 6829.93409375
transcript.pyannote[1153].speaker SPEAKER_35
transcript.pyannote[1153].start 6830.71034375
transcript.pyannote[1153].end 6833.00534375
transcript.pyannote[1154].speaker SPEAKER_35
transcript.pyannote[1154].start 6833.61284375
transcript.pyannote[1154].end 6837.10596875
transcript.pyannote[1155].speaker SPEAKER_35
transcript.pyannote[1155].start 6837.54471875
transcript.pyannote[1155].end 6838.82721875
transcript.pyannote[1156].speaker SPEAKER_16
transcript.pyannote[1156].start 6839.24909375
transcript.pyannote[1156].end 6852.90096875
transcript.pyannote[1157].speaker SPEAKER_35
transcript.pyannote[1157].start 6843.46784375
transcript.pyannote[1157].end 6843.85596875
transcript.pyannote[1158].speaker SPEAKER_34
transcript.pyannote[1158].start 6847.97346875
transcript.pyannote[1158].end 6849.59346875
transcript.pyannote[1159].speaker SPEAKER_16
transcript.pyannote[1159].start 6853.27221875
transcript.pyannote[1159].end 6859.43159375
transcript.pyannote[1160].speaker SPEAKER_16
transcript.pyannote[1160].start 6859.71846875
transcript.pyannote[1160].end 6864.66284375
transcript.pyannote[1161].speaker SPEAKER_16
transcript.pyannote[1161].start 6865.00034375
transcript.pyannote[1161].end 6866.02971875
transcript.pyannote[1162].speaker SPEAKER_16
transcript.pyannote[1162].start 6866.16471875
transcript.pyannote[1162].end 6867.51471875
transcript.pyannote[1163].speaker SPEAKER_16
transcript.pyannote[1163].start 6867.61596875
transcript.pyannote[1163].end 6870.09659375
transcript.pyannote[1164].speaker SPEAKER_16
transcript.pyannote[1164].start 6870.78846875
transcript.pyannote[1164].end 6873.23534375
transcript.pyannote[1165].speaker SPEAKER_16
transcript.pyannote[1165].start 6873.43784375
transcript.pyannote[1165].end 6875.27721875
transcript.pyannote[1166].speaker SPEAKER_35
transcript.pyannote[1166].start 6875.56409375
transcript.pyannote[1166].end 6879.32721875
transcript.pyannote[1167].speaker SPEAKER_35
transcript.pyannote[1167].start 6879.68159375
transcript.pyannote[1167].end 6885.62159375
transcript.pyannote[1168].speaker SPEAKER_16
transcript.pyannote[1168].start 6885.62159375
transcript.pyannote[1168].end 6887.00534375
transcript.pyannote[1169].speaker SPEAKER_35
transcript.pyannote[1169].start 6887.00534375
transcript.pyannote[1169].end 6887.02221875
transcript.pyannote[1170].speaker SPEAKER_16
transcript.pyannote[1170].start 6887.02221875
transcript.pyannote[1170].end 6887.03909375
transcript.pyannote[1171].speaker SPEAKER_16
transcript.pyannote[1171].start 6887.25846875
transcript.pyannote[1171].end 6897.16409375
transcript.pyannote[1172].speaker SPEAKER_16
transcript.pyannote[1172].start 6897.73784375
transcript.pyannote[1172].end 6900.45471875
transcript.pyannote[1173].speaker SPEAKER_16
transcript.pyannote[1173].start 6900.47159375
transcript.pyannote[1173].end 6901.12971875
transcript.pyannote[1174].speaker SPEAKER_16
transcript.pyannote[1174].start 6901.48409375
transcript.pyannote[1174].end 6902.59784375
transcript.pyannote[1175].speaker SPEAKER_16
transcript.pyannote[1175].start 6902.98596875
transcript.pyannote[1175].end 6905.58471875
transcript.pyannote[1176].speaker SPEAKER_16
transcript.pyannote[1176].start 6905.80409375
transcript.pyannote[1176].end 6906.93471875
transcript.pyannote[1177].speaker SPEAKER_16
transcript.pyannote[1177].start 6907.55909375
transcript.pyannote[1177].end 6911.06909375
transcript.pyannote[1178].speaker SPEAKER_16
transcript.pyannote[1178].start 6911.38971875
transcript.pyannote[1178].end 6924.34971875
transcript.pyannote[1179].speaker SPEAKER_35
transcript.pyannote[1179].start 6915.45659375
transcript.pyannote[1179].end 6916.58721875
transcript.pyannote[1180].speaker SPEAKER_35
transcript.pyannote[1180].start 6917.09346875
transcript.pyannote[1180].end 6918.27471875
transcript.pyannote[1181].speaker SPEAKER_16
transcript.pyannote[1181].start 6924.56909375
transcript.pyannote[1181].end 6927.03284375
transcript.pyannote[1182].speaker SPEAKER_16
transcript.pyannote[1182].start 6927.08346875
transcript.pyannote[1182].end 6928.18034375
transcript.pyannote[1183].speaker SPEAKER_16
transcript.pyannote[1183].start 6928.34909375
transcript.pyannote[1183].end 6933.68159375
transcript.pyannote[1184].speaker SPEAKER_16
transcript.pyannote[1184].start 6933.95159375
transcript.pyannote[1184].end 6935.52096875
transcript.pyannote[1185].speaker SPEAKER_35
transcript.pyannote[1185].start 6935.57159375
transcript.pyannote[1185].end 6951.80534375
transcript.pyannote[1186].speaker SPEAKER_34
transcript.pyannote[1186].start 6947.01284375
transcript.pyannote[1186].end 6947.90721875
transcript.pyannote[1187].speaker SPEAKER_16
transcript.pyannote[1187].start 6947.90721875
transcript.pyannote[1187].end 6947.92409375
transcript.pyannote[1188].speaker SPEAKER_35
transcript.pyannote[1188].start 6951.82221875
transcript.pyannote[1188].end 6955.73721875
transcript.pyannote[1189].speaker SPEAKER_16
transcript.pyannote[1189].start 6955.73721875
transcript.pyannote[1189].end 6957.28971875
transcript.pyannote[1190].speaker SPEAKER_16
transcript.pyannote[1190].start 6957.52596875
transcript.pyannote[1190].end 6962.30159375
transcript.pyannote[1191].speaker SPEAKER_16
transcript.pyannote[1191].start 6962.50409375
transcript.pyannote[1191].end 6970.80659375
transcript.pyannote[1192].speaker SPEAKER_35
transcript.pyannote[1192].start 6971.27909375
transcript.pyannote[1192].end 6972.71346875
transcript.pyannote[1193].speaker SPEAKER_35
transcript.pyannote[1193].start 6973.10159375
transcript.pyannote[1193].end 6976.34159375
transcript.pyannote[1194].speaker SPEAKER_35
transcript.pyannote[1194].start 6976.99971875
transcript.pyannote[1194].end 6978.63659375
transcript.pyannote[1195].speaker SPEAKER_35
transcript.pyannote[1195].start 6979.04159375
transcript.pyannote[1195].end 6981.52221875
transcript.pyannote[1196].speaker SPEAKER_35
transcript.pyannote[1196].start 6981.97784375
transcript.pyannote[1196].end 6982.61909375
transcript.pyannote[1197].speaker SPEAKER_35
transcript.pyannote[1197].start 6983.58096875
transcript.pyannote[1197].end 6984.93096875
transcript.pyannote[1198].speaker SPEAKER_35
transcript.pyannote[1198].start 6985.40346875
transcript.pyannote[1198].end 6986.44971875
transcript.pyannote[1199].speaker SPEAKER_35
transcript.pyannote[1199].start 6986.88846875
transcript.pyannote[1199].end 6987.14159375
transcript.pyannote[1200].speaker SPEAKER_35
transcript.pyannote[1200].start 6988.15409375
transcript.pyannote[1200].end 6989.84159375
transcript.pyannote[1201].speaker SPEAKER_35
transcript.pyannote[1201].start 6990.28034375
transcript.pyannote[1201].end 6991.17471875
transcript.pyannote[1202].speaker SPEAKER_35
transcript.pyannote[1202].start 6991.95096875
transcript.pyannote[1202].end 6992.81159375
transcript.pyannote[1203].speaker SPEAKER_35
transcript.pyannote[1203].start 6993.62159375
transcript.pyannote[1203].end 6994.27971875
transcript.pyannote[1204].speaker SPEAKER_35
transcript.pyannote[1204].start 6994.66784375
transcript.pyannote[1204].end 6995.74784375
transcript.pyannote[1205].speaker SPEAKER_35
transcript.pyannote[1205].start 6996.38909375
transcript.pyannote[1205].end 6998.12721875
transcript.pyannote[1206].speaker SPEAKER_35
transcript.pyannote[1206].start 6998.51534375
transcript.pyannote[1206].end 6999.96659375
transcript.pyannote[1207].speaker SPEAKER_35
transcript.pyannote[1207].start 7001.92409375
transcript.pyannote[1207].end 7003.37534375
transcript.pyannote[1208].speaker SPEAKER_35
transcript.pyannote[1208].start 7003.74659375
transcript.pyannote[1208].end 7004.79284375
transcript.pyannote[1209].speaker SPEAKER_35
transcript.pyannote[1209].start 7005.55221875
transcript.pyannote[1209].end 7008.15096875
transcript.pyannote[1210].speaker SPEAKER_35
transcript.pyannote[1210].start 7008.55596875
transcript.pyannote[1210].end 7010.61471875
transcript.pyannote[1211].speaker SPEAKER_35
transcript.pyannote[1211].start 7010.86784375
transcript.pyannote[1211].end 7014.04034375
transcript.pyannote[1212].speaker SPEAKER_00
transcript.pyannote[1212].start 7011.57659375
transcript.pyannote[1212].end 7011.86346875
transcript.pyannote[1213].speaker SPEAKER_35
transcript.pyannote[1213].start 7014.39471875
transcript.pyannote[1213].end 7015.94721875
transcript.pyannote[1214].speaker SPEAKER_35
transcript.pyannote[1214].start 7016.26784375
transcript.pyannote[1214].end 7018.03971875
transcript.pyannote[1215].speaker SPEAKER_35
transcript.pyannote[1215].start 7018.34346875
transcript.pyannote[1215].end 7019.40659375
transcript.pyannote[1216].speaker SPEAKER_35
transcript.pyannote[1216].start 7020.08159375
transcript.pyannote[1216].end 7020.67221875
transcript.pyannote[1217].speaker SPEAKER_35
transcript.pyannote[1217].start 7021.12784375
transcript.pyannote[1217].end 7022.52846875
transcript.pyannote[1218].speaker SPEAKER_35
transcript.pyannote[1218].start 7022.79846875
transcript.pyannote[1218].end 7025.56596875
transcript.pyannote[1219].speaker SPEAKER_35
transcript.pyannote[1219].start 7025.97096875
transcript.pyannote[1219].end 7026.78096875
transcript.pyannote[1220].speaker SPEAKER_35
transcript.pyannote[1220].start 7026.93284375
transcript.pyannote[1220].end 7029.05909375
transcript.pyannote[1221].speaker SPEAKER_35
transcript.pyannote[1221].start 7029.24471875
transcript.pyannote[1221].end 7030.52721875
transcript.pyannote[1222].speaker SPEAKER_35
transcript.pyannote[1222].start 7031.72534375
transcript.pyannote[1222].end 7033.27784375
transcript.pyannote[1223].speaker SPEAKER_16
transcript.pyannote[1223].start 7034.22284375
transcript.pyannote[1223].end 7036.50096875
transcript.pyannote[1224].speaker SPEAKER_16
transcript.pyannote[1224].start 7037.46284375
transcript.pyannote[1224].end 7041.04034375
transcript.pyannote[1225].speaker SPEAKER_35
transcript.pyannote[1225].start 7041.46221875
transcript.pyannote[1225].end 7043.06534375
transcript.pyannote[1226].speaker SPEAKER_35
transcript.pyannote[1226].start 7043.47034375
transcript.pyannote[1226].end 7044.11159375
transcript.pyannote[1227].speaker SPEAKER_35
transcript.pyannote[1227].start 7044.34784375
transcript.pyannote[1227].end 7046.79471875
transcript.pyannote[1228].speaker SPEAKER_35
transcript.pyannote[1228].start 7047.14909375
transcript.pyannote[1228].end 7048.43159375
transcript.pyannote[1229].speaker SPEAKER_35
transcript.pyannote[1229].start 7048.75221875
transcript.pyannote[1229].end 7050.92909375
transcript.pyannote[1230].speaker SPEAKER_35
transcript.pyannote[1230].start 7051.23284375
transcript.pyannote[1230].end 7053.73034375
transcript.pyannote[1231].speaker SPEAKER_35
transcript.pyannote[1231].start 7053.81471875
transcript.pyannote[1231].end 7057.42596875
transcript.pyannote[1232].speaker SPEAKER_35
transcript.pyannote[1232].start 7057.56096875
transcript.pyannote[1232].end 7060.29471875
transcript.pyannote[1233].speaker SPEAKER_35
transcript.pyannote[1233].start 7060.80096875
transcript.pyannote[1233].end 7062.77534375
transcript.pyannote[1234].speaker SPEAKER_35
transcript.pyannote[1234].start 7063.18034375
transcript.pyannote[1234].end 7064.41221875
transcript.pyannote[1235].speaker SPEAKER_35
transcript.pyannote[1235].start 7064.81721875
transcript.pyannote[1235].end 7065.93096875
transcript.pyannote[1236].speaker SPEAKER_35
transcript.pyannote[1236].start 7066.75784375
transcript.pyannote[1236].end 7067.17971875
transcript.pyannote[1237].speaker SPEAKER_35
transcript.pyannote[1237].start 7067.87159375
transcript.pyannote[1237].end 7069.30596875
transcript.pyannote[1238].speaker SPEAKER_35
transcript.pyannote[1238].start 7070.04846875
transcript.pyannote[1238].end 7071.07784375
transcript.pyannote[1239].speaker SPEAKER_35
transcript.pyannote[1239].start 7071.71909375
transcript.pyannote[1239].end 7072.86659375
transcript.pyannote[1240].speaker SPEAKER_35
transcript.pyannote[1240].start 7073.22096875
transcript.pyannote[1240].end 7074.94221875
transcript.pyannote[1241].speaker SPEAKER_35
transcript.pyannote[1241].start 7075.26284375
transcript.pyannote[1241].end 7076.10659375
transcript.pyannote[1242].speaker SPEAKER_35
transcript.pyannote[1242].start 7076.46096875
transcript.pyannote[1242].end 7078.63784375
transcript.pyannote[1243].speaker SPEAKER_35
transcript.pyannote[1243].start 7079.02596875
transcript.pyannote[1243].end 7083.36284375
transcript.pyannote[1244].speaker SPEAKER_35
transcript.pyannote[1244].start 7083.46409375
transcript.pyannote[1244].end 7086.07971875
transcript.pyannote[1245].speaker SPEAKER_35
transcript.pyannote[1245].start 7086.45096875
transcript.pyannote[1245].end 7088.18909375
transcript.pyannote[1246].speaker SPEAKER_35
transcript.pyannote[1246].start 7088.50971875
transcript.pyannote[1246].end 7089.28596875
transcript.pyannote[1247].speaker SPEAKER_35
transcript.pyannote[1247].start 7089.55596875
transcript.pyannote[1247].end 7090.16346875
transcript.pyannote[1248].speaker SPEAKER_35
transcript.pyannote[1248].start 7090.39971875
transcript.pyannote[1248].end 7091.68221875
transcript.pyannote[1249].speaker SPEAKER_35
transcript.pyannote[1249].start 7091.96909375
transcript.pyannote[1249].end 7094.77034375
transcript.pyannote[1250].speaker SPEAKER_34
transcript.pyannote[1250].start 7094.77034375
transcript.pyannote[1250].end 7094.88846875
transcript.pyannote[1251].speaker SPEAKER_35
transcript.pyannote[1251].start 7094.88846875
transcript.pyannote[1251].end 7094.92221875
transcript.pyannote[1252].speaker SPEAKER_34
transcript.pyannote[1252].start 7094.92221875
transcript.pyannote[1252].end 7095.00659375
transcript.pyannote[1253].speaker SPEAKER_35
transcript.pyannote[1253].start 7095.00659375
transcript.pyannote[1253].end 7095.02346875
transcript.pyannote[1254].speaker SPEAKER_35
transcript.pyannote[1254].start 7100.20409375
transcript.pyannote[1254].end 7105.45221875
transcript.pyannote[1255].speaker SPEAKER_35
transcript.pyannote[1255].start 7105.63784375
transcript.pyannote[1255].end 7106.53221875
transcript.pyannote[1256].speaker SPEAKER_35
transcript.pyannote[1256].start 7106.65034375
transcript.pyannote[1256].end 7109.60346875
transcript.pyannote[1257].speaker SPEAKER_35
transcript.pyannote[1257].start 7110.10971875
transcript.pyannote[1257].end 7111.94909375
transcript.pyannote[1258].speaker SPEAKER_35
transcript.pyannote[1258].start 7112.15159375
transcript.pyannote[1258].end 7114.02471875
transcript.pyannote[1259].speaker SPEAKER_35
transcript.pyannote[1259].start 7114.21034375
transcript.pyannote[1259].end 7115.67846875
transcript.pyannote[1260].speaker SPEAKER_35
transcript.pyannote[1260].start 7116.08346875
transcript.pyannote[1260].end 7117.06221875
transcript.pyannote[1261].speaker SPEAKER_35
transcript.pyannote[1261].start 7117.39971875
transcript.pyannote[1261].end 7120.15034375
transcript.pyannote[1262].speaker SPEAKER_35
transcript.pyannote[1262].start 7120.57221875
transcript.pyannote[1262].end 7121.21346875
transcript.pyannote[1263].speaker SPEAKER_35
transcript.pyannote[1263].start 7121.82096875
transcript.pyannote[1263].end 7124.62221875
transcript.pyannote[1264].speaker SPEAKER_35
transcript.pyannote[1264].start 7124.95971875
transcript.pyannote[1264].end 7125.92159375
transcript.pyannote[1265].speaker SPEAKER_35
transcript.pyannote[1265].start 7126.46159375
transcript.pyannote[1265].end 7130.59596875
transcript.pyannote[1266].speaker SPEAKER_26
transcript.pyannote[1266].start 7130.59596875
transcript.pyannote[1266].end 7130.95034375
transcript.pyannote[1267].speaker SPEAKER_35
transcript.pyannote[1267].start 7130.95034375
transcript.pyannote[1267].end 7131.74346875
transcript.pyannote[1268].speaker SPEAKER_35
transcript.pyannote[1268].start 7131.94596875
transcript.pyannote[1268].end 7133.34659375
transcript.pyannote[1269].speaker SPEAKER_35
transcript.pyannote[1269].start 7134.05534375
transcript.pyannote[1269].end 7147.01534375
transcript.pyannote[1270].speaker SPEAKER_35
transcript.pyannote[1270].start 7147.13346875
transcript.pyannote[1270].end 7149.29346875
transcript.pyannote[1271].speaker SPEAKER_35
transcript.pyannote[1271].start 7149.56346875
transcript.pyannote[1271].end 7150.89659375
transcript.pyannote[1272].speaker SPEAKER_35
transcript.pyannote[1272].start 7150.98096875
transcript.pyannote[1272].end 7154.23784375
transcript.pyannote[1273].speaker SPEAKER_35
transcript.pyannote[1273].start 7155.08159375
transcript.pyannote[1273].end 7156.11096875
transcript.pyannote[1274].speaker SPEAKER_35
transcript.pyannote[1274].start 7156.60034375
transcript.pyannote[1274].end 7157.54534375
transcript.pyannote[1275].speaker SPEAKER_35
transcript.pyannote[1275].start 7157.93346875
transcript.pyannote[1275].end 7160.04284375
transcript.pyannote[1276].speaker SPEAKER_35
transcript.pyannote[1276].start 7160.39721875
transcript.pyannote[1276].end 7170.26909375
transcript.pyannote[1277].speaker SPEAKER_35
transcript.pyannote[1277].start 7170.38721875
transcript.pyannote[1277].end 7172.41221875
transcript.pyannote[1278].speaker SPEAKER_35
transcript.pyannote[1278].start 7172.47971875
transcript.pyannote[1278].end 7173.84659375
transcript.pyannote[1279].speaker SPEAKER_35
transcript.pyannote[1279].start 7174.15034375
transcript.pyannote[1279].end 7174.67346875
transcript.pyannote[1280].speaker SPEAKER_35
transcript.pyannote[1280].start 7175.06159375
transcript.pyannote[1280].end 7177.39034375
transcript.pyannote[1281].speaker SPEAKER_35
transcript.pyannote[1281].start 7177.57596875
transcript.pyannote[1281].end 7179.58409375
transcript.pyannote[1282].speaker SPEAKER_35
transcript.pyannote[1282].start 7179.75284375
transcript.pyannote[1282].end 7181.55846875
transcript.pyannote[1283].speaker SPEAKER_35
transcript.pyannote[1283].start 7181.92971875
transcript.pyannote[1283].end 7187.07659375
transcript.pyannote[1284].speaker SPEAKER_35
transcript.pyannote[1284].start 7187.36346875
transcript.pyannote[1284].end 7191.02534375
transcript.pyannote[1285].speaker SPEAKER_16
transcript.pyannote[1285].start 7191.02534375
transcript.pyannote[1285].end 7196.69534375
transcript.pyannote[1286].speaker SPEAKER_16
transcript.pyannote[1286].start 7197.18471875
transcript.pyannote[1286].end 7198.43346875
transcript.pyannote[1287].speaker SPEAKER_16
transcript.pyannote[1287].start 7198.88909375
transcript.pyannote[1287].end 7201.74096875
transcript.pyannote[1288].speaker SPEAKER_16
transcript.pyannote[1288].start 7201.92659375
transcript.pyannote[1288].end 7207.46159375
transcript.pyannote[1289].speaker SPEAKER_35
transcript.pyannote[1289].start 7207.42784375
transcript.pyannote[1289].end 7211.54534375
transcript.pyannote[1290].speaker SPEAKER_16
transcript.pyannote[1290].start 7208.35596875
transcript.pyannote[1290].end 7209.13221875
transcript.pyannote[1291].speaker SPEAKER_35
transcript.pyannote[1291].start 7211.69721875
transcript.pyannote[1291].end 7218.43034375
transcript.pyannote[1292].speaker SPEAKER_35
transcript.pyannote[1292].start 7218.71721875
transcript.pyannote[1292].end 7224.35346875
transcript.pyannote[1293].speaker SPEAKER_35
transcript.pyannote[1293].start 7224.57284375
transcript.pyannote[1293].end 7225.83846875
transcript.pyannote[1294].speaker SPEAKER_35
transcript.pyannote[1294].start 7226.09159375
transcript.pyannote[1294].end 7227.93096875
transcript.pyannote[1295].speaker SPEAKER_35
transcript.pyannote[1295].start 7228.75784375
transcript.pyannote[1295].end 7229.16284375
transcript.pyannote[1296].speaker SPEAKER_35
transcript.pyannote[1296].start 7229.68596875
transcript.pyannote[1296].end 7233.16221875
transcript.pyannote[1297].speaker SPEAKER_35
transcript.pyannote[1297].start 7233.39846875
transcript.pyannote[1297].end 7234.54596875
transcript.pyannote[1298].speaker SPEAKER_35
transcript.pyannote[1298].start 7235.23784375
transcript.pyannote[1298].end 7238.51159375
transcript.pyannote[1299].speaker SPEAKER_34
transcript.pyannote[1299].start 7237.21221875
transcript.pyannote[1299].end 7238.25846875
transcript.pyannote[1300].speaker SPEAKER_35
transcript.pyannote[1300].start 7238.54534375
transcript.pyannote[1300].end 7241.39721875
transcript.pyannote[1301].speaker SPEAKER_35
transcript.pyannote[1301].start 7242.05534375
transcript.pyannote[1301].end 7242.88221875
transcript.pyannote[1302].speaker SPEAKER_35
transcript.pyannote[1302].start 7243.27034375
transcript.pyannote[1302].end 7244.75534375
transcript.pyannote[1303].speaker SPEAKER_35
transcript.pyannote[1303].start 7244.94096875
transcript.pyannote[1303].end 7250.81346875
transcript.pyannote[1304].speaker SPEAKER_35
transcript.pyannote[1304].start 7250.96534375
transcript.pyannote[1304].end 7255.55534375
transcript.pyannote[1305].speaker SPEAKER_16
transcript.pyannote[1305].start 7254.55971875
transcript.pyannote[1305].end 7254.88034375
transcript.pyannote[1306].speaker SPEAKER_16
transcript.pyannote[1306].start 7255.20096875
transcript.pyannote[1306].end 7269.98346875
transcript.pyannote[1307].speaker SPEAKER_35
transcript.pyannote[1307].start 7256.09534375
transcript.pyannote[1307].end 7256.23034375
transcript.pyannote[1308].speaker SPEAKER_35
transcript.pyannote[1308].start 7257.93471875
transcript.pyannote[1308].end 7258.01909375
transcript.pyannote[1309].speaker SPEAKER_35
transcript.pyannote[1309].start 7270.18596875
transcript.pyannote[1309].end 7271.51909375
transcript.pyannote[1310].speaker SPEAKER_35
transcript.pyannote[1310].start 7272.02534375
transcript.pyannote[1310].end 7276.51409375
transcript.pyannote[1311].speaker SPEAKER_35
transcript.pyannote[1311].start 7276.98659375
transcript.pyannote[1311].end 7278.62346875
transcript.pyannote[1312].speaker SPEAKER_35
transcript.pyannote[1312].start 7279.24784375
transcript.pyannote[1312].end 7280.32784375
transcript.pyannote[1313].speaker SPEAKER_35
transcript.pyannote[1313].start 7280.71596875
transcript.pyannote[1313].end 7283.24721875
transcript.pyannote[1314].speaker SPEAKER_35
transcript.pyannote[1314].start 7283.78721875
transcript.pyannote[1314].end 7285.22159375
transcript.pyannote[1315].speaker SPEAKER_35
transcript.pyannote[1315].start 7285.89659375
transcript.pyannote[1315].end 7287.04409375
transcript.pyannote[1316].speaker SPEAKER_35
transcript.pyannote[1316].start 7287.43221875
transcript.pyannote[1316].end 7290.99284375
transcript.pyannote[1317].speaker SPEAKER_35
transcript.pyannote[1317].start 7291.27971875
transcript.pyannote[1317].end 7292.83221875
transcript.pyannote[1318].speaker SPEAKER_35
transcript.pyannote[1318].start 7293.25409375
transcript.pyannote[1318].end 7295.65034375
transcript.pyannote[1319].speaker SPEAKER_35
transcript.pyannote[1319].start 7296.02159375
transcript.pyannote[1319].end 7297.59096875
transcript.pyannote[1320].speaker SPEAKER_35
transcript.pyannote[1320].start 7297.81034375
transcript.pyannote[1320].end 7299.16034375
transcript.pyannote[1321].speaker SPEAKER_35
transcript.pyannote[1321].start 7299.76784375
transcript.pyannote[1321].end 7300.47659375
transcript.pyannote[1322].speaker SPEAKER_35
transcript.pyannote[1322].start 7300.93221875
transcript.pyannote[1322].end 7304.27346875
transcript.pyannote[1323].speaker SPEAKER_35
transcript.pyannote[1323].start 7304.57721875
transcript.pyannote[1323].end 7306.65284375
transcript.pyannote[1324].speaker SPEAKER_35
transcript.pyannote[1324].start 7307.05784375
transcript.pyannote[1324].end 7308.17159375
transcript.pyannote[1325].speaker SPEAKER_35
transcript.pyannote[1325].start 7308.42471875
transcript.pyannote[1325].end 7309.74096875
transcript.pyannote[1326].speaker SPEAKER_35
transcript.pyannote[1326].start 7310.44971875
transcript.pyannote[1326].end 7311.44534375
transcript.pyannote[1327].speaker SPEAKER_35
transcript.pyannote[1327].start 7311.81659375
transcript.pyannote[1327].end 7313.14971875
transcript.pyannote[1328].speaker SPEAKER_35
transcript.pyannote[1328].start 7313.52096875
transcript.pyannote[1328].end 7315.74846875
transcript.pyannote[1329].speaker SPEAKER_35
transcript.pyannote[1329].start 7316.00159375
transcript.pyannote[1329].end 7318.34721875
transcript.pyannote[1330].speaker SPEAKER_35
transcript.pyannote[1330].start 7318.66784375
transcript.pyannote[1330].end 7321.65471875
transcript.pyannote[1331].speaker SPEAKER_35
transcript.pyannote[1331].start 7322.19471875
transcript.pyannote[1331].end 7323.51096875
transcript.pyannote[1332].speaker SPEAKER_35
transcript.pyannote[1332].start 7323.54471875
transcript.pyannote[1332].end 7326.19409375
transcript.pyannote[1333].speaker SPEAKER_35
transcript.pyannote[1333].start 7326.51471875
transcript.pyannote[1333].end 7331.62784375
transcript.pyannote[1334].speaker SPEAKER_35
transcript.pyannote[1334].start 7332.38721875
transcript.pyannote[1334].end 7334.02409375
transcript.pyannote[1335].speaker SPEAKER_35
transcript.pyannote[1335].start 7334.63159375
transcript.pyannote[1335].end 7335.39096875
transcript.pyannote[1336].speaker SPEAKER_35
transcript.pyannote[1336].start 7335.93096875
transcript.pyannote[1336].end 7337.90534375
transcript.pyannote[1337].speaker SPEAKER_35
transcript.pyannote[1337].start 7338.42846875
transcript.pyannote[1337].end 7340.47034375
transcript.pyannote[1338].speaker SPEAKER_35
transcript.pyannote[1338].start 7341.28034375
transcript.pyannote[1338].end 7344.03096875
transcript.pyannote[1339].speaker SPEAKER_35
transcript.pyannote[1339].start 7344.57096875
transcript.pyannote[1339].end 7346.41034375
transcript.pyannote[1340].speaker SPEAKER_35
transcript.pyannote[1340].start 7346.71409375
transcript.pyannote[1340].end 7348.13159375
transcript.pyannote[1341].speaker SPEAKER_35
transcript.pyannote[1341].start 7348.35096875
transcript.pyannote[1341].end 7350.89909375
transcript.pyannote[1342].speaker SPEAKER_16
transcript.pyannote[1342].start 7351.62471875
transcript.pyannote[1342].end 7359.38721875
transcript.pyannote[1343].speaker SPEAKER_35
transcript.pyannote[1343].start 7356.68721875
transcript.pyannote[1343].end 7357.36221875
transcript.pyannote[1344].speaker SPEAKER_00
transcript.pyannote[1344].start 7357.36221875
transcript.pyannote[1344].end 7357.41284375
transcript.pyannote[1345].speaker SPEAKER_16
transcript.pyannote[1345].start 7359.97784375
transcript.pyannote[1345].end 7364.09534375
transcript.pyannote[1346].speaker SPEAKER_16
transcript.pyannote[1346].start 7364.19659375
transcript.pyannote[1346].end 7377.27471875
transcript.pyannote[1347].speaker SPEAKER_00
transcript.pyannote[1347].start 7365.58034375
transcript.pyannote[1347].end 7365.86721875
transcript.pyannote[1348].speaker SPEAKER_35
transcript.pyannote[1348].start 7365.86721875
transcript.pyannote[1348].end 7365.95159375
transcript.pyannote[1349].speaker SPEAKER_00
transcript.pyannote[1349].start 7365.95159375
transcript.pyannote[1349].end 7365.96846875
transcript.pyannote[1350].speaker SPEAKER_35
transcript.pyannote[1350].start 7374.00096875
transcript.pyannote[1350].end 7374.55784375
transcript.pyannote[1351].speaker SPEAKER_35
transcript.pyannote[1351].start 7376.09346875
transcript.pyannote[1351].end 7378.10159375
transcript.pyannote[1352].speaker SPEAKER_35
transcript.pyannote[1352].start 7378.28721875
transcript.pyannote[1352].end 7383.45096875
transcript.pyannote[1353].speaker SPEAKER_16
transcript.pyannote[1353].start 7382.16846875
transcript.pyannote[1353].end 7382.84346875
transcript.pyannote[1354].speaker SPEAKER_16
transcript.pyannote[1354].start 7383.09659375
transcript.pyannote[1354].end 7384.41284375
transcript.pyannote[1355].speaker SPEAKER_35
transcript.pyannote[1355].start 7383.82221875
transcript.pyannote[1355].end 7385.77971875
transcript.pyannote[1356].speaker SPEAKER_35
transcript.pyannote[1356].start 7385.98221875
transcript.pyannote[1356].end 7389.47534375
transcript.pyannote[1357].speaker SPEAKER_35
transcript.pyannote[1357].start 7389.94784375
transcript.pyannote[1357].end 7394.20034375
transcript.pyannote[1358].speaker SPEAKER_35
transcript.pyannote[1358].start 7394.55471875
transcript.pyannote[1358].end 7398.65534375
transcript.pyannote[1359].speaker SPEAKER_35
transcript.pyannote[1359].start 7398.95909375
transcript.pyannote[1359].end 7400.64659375
transcript.pyannote[1360].speaker SPEAKER_35
transcript.pyannote[1360].start 7400.95034375
transcript.pyannote[1360].end 7402.97534375
transcript.pyannote[1361].speaker SPEAKER_35
transcript.pyannote[1361].start 7403.63346875
transcript.pyannote[1361].end 7405.37159375
transcript.pyannote[1362].speaker SPEAKER_35
transcript.pyannote[1362].start 7405.70909375
transcript.pyannote[1362].end 7406.77221875
transcript.pyannote[1363].speaker SPEAKER_35
transcript.pyannote[1363].start 7407.17721875
transcript.pyannote[1363].end 7408.71284375
transcript.pyannote[1364].speaker SPEAKER_35
transcript.pyannote[1364].start 7408.99971875
transcript.pyannote[1364].end 7409.99534375
transcript.pyannote[1365].speaker SPEAKER_35
transcript.pyannote[1365].start 7410.26534375
transcript.pyannote[1365].end 7411.46346875
transcript.pyannote[1366].speaker SPEAKER_35
transcript.pyannote[1366].start 7411.78409375
transcript.pyannote[1366].end 7416.08721875
transcript.pyannote[1367].speaker SPEAKER_35
transcript.pyannote[1367].start 7416.40784375
transcript.pyannote[1367].end 7419.31034375
transcript.pyannote[1368].speaker SPEAKER_35
transcript.pyannote[1368].start 7419.74909375
transcript.pyannote[1368].end 7421.14971875
transcript.pyannote[1369].speaker SPEAKER_35
transcript.pyannote[1369].start 7421.30159375
transcript.pyannote[1369].end 7424.91284375
transcript.pyannote[1370].speaker SPEAKER_35
transcript.pyannote[1370].start 7425.23346875
transcript.pyannote[1370].end 7427.89971875
transcript.pyannote[1371].speaker SPEAKER_35
transcript.pyannote[1371].start 7428.18659375
transcript.pyannote[1371].end 7430.09346875
transcript.pyannote[1372].speaker SPEAKER_35
transcript.pyannote[1372].start 7430.61659375
transcript.pyannote[1372].end 7432.18596875
transcript.pyannote[1373].speaker SPEAKER_35
transcript.pyannote[1373].start 7432.23659375
transcript.pyannote[1373].end 7435.96596875
transcript.pyannote[1374].speaker SPEAKER_35
transcript.pyannote[1374].start 7436.21909375
transcript.pyannote[1374].end 7437.46784375
transcript.pyannote[1375].speaker SPEAKER_35
transcript.pyannote[1375].start 7437.87284375
transcript.pyannote[1375].end 7440.89346875
transcript.pyannote[1376].speaker SPEAKER_35
transcript.pyannote[1376].start 7441.33221875
transcript.pyannote[1376].end 7443.32346875
transcript.pyannote[1377].speaker SPEAKER_35
transcript.pyannote[1377].start 7443.76221875
transcript.pyannote[1377].end 7444.48784375
transcript.pyannote[1378].speaker SPEAKER_35
transcript.pyannote[1378].start 7445.19659375
transcript.pyannote[1378].end 7446.15846875
transcript.pyannote[1379].speaker SPEAKER_35
transcript.pyannote[1379].start 7446.63096875
transcript.pyannote[1379].end 7447.45784375
transcript.pyannote[1380].speaker SPEAKER_35
transcript.pyannote[1380].start 7447.82909375
transcript.pyannote[1380].end 7448.82471875
transcript.pyannote[1381].speaker SPEAKER_35
transcript.pyannote[1381].start 7449.33096875
transcript.pyannote[1381].end 7451.00159375
transcript.pyannote[1382].speaker SPEAKER_35
transcript.pyannote[1382].start 7451.25471875
transcript.pyannote[1382].end 7452.55409375
transcript.pyannote[1383].speaker SPEAKER_35
transcript.pyannote[1383].start 7452.89159375
transcript.pyannote[1383].end 7454.19096875
transcript.pyannote[1384].speaker SPEAKER_35
transcript.pyannote[1384].start 7454.30909375
transcript.pyannote[1384].end 7455.86159375
transcript.pyannote[1385].speaker SPEAKER_35
transcript.pyannote[1385].start 7456.33409375
transcript.pyannote[1385].end 7457.71784375
transcript.pyannote[1386].speaker SPEAKER_35
transcript.pyannote[1386].start 7457.97096875
transcript.pyannote[1386].end 7459.16909375
transcript.pyannote[1387].speaker SPEAKER_35
transcript.pyannote[1387].start 7459.54034375
transcript.pyannote[1387].end 7463.65784375
transcript.pyannote[1388].speaker SPEAKER_35
transcript.pyannote[1388].start 7465.09221875
transcript.pyannote[1388].end 7466.07096875
transcript.pyannote[1389].speaker SPEAKER_35
transcript.pyannote[1389].start 7466.23971875
transcript.pyannote[1389].end 7468.01159375
transcript.pyannote[1390].speaker SPEAKER_35
transcript.pyannote[1390].start 7468.38284375
transcript.pyannote[1390].end 7470.54284375
transcript.pyannote[1391].speaker SPEAKER_35
transcript.pyannote[1391].start 7470.79596875
transcript.pyannote[1391].end 7472.31471875
transcript.pyannote[1392].speaker SPEAKER_35
transcript.pyannote[1392].start 7473.19221875
transcript.pyannote[1392].end 7477.42784375
transcript.pyannote[1393].speaker SPEAKER_35
transcript.pyannote[1393].start 7478.05221875
transcript.pyannote[1393].end 7480.12784375
transcript.pyannote[1394].speaker SPEAKER_35
transcript.pyannote[1394].start 7480.54971875
transcript.pyannote[1394].end 7481.57909375
transcript.pyannote[1395].speaker SPEAKER_35
transcript.pyannote[1395].start 7481.93346875
transcript.pyannote[1395].end 7482.87846875
transcript.pyannote[1396].speaker SPEAKER_35
transcript.pyannote[1396].start 7483.21596875
transcript.pyannote[1396].end 7488.14346875
transcript.pyannote[1397].speaker SPEAKER_35
transcript.pyannote[1397].start 7488.41346875
transcript.pyannote[1397].end 7492.78409375
transcript.pyannote[1398].speaker SPEAKER_35
transcript.pyannote[1398].start 7492.90221875
transcript.pyannote[1398].end 7500.47909375
transcript.pyannote[1399].speaker SPEAKER_35
transcript.pyannote[1399].start 7501.08659375
transcript.pyannote[1399].end 7502.06534375
transcript.pyannote[1400].speaker SPEAKER_16
transcript.pyannote[1400].start 7501.30596875
transcript.pyannote[1400].end 7502.25096875
transcript.pyannote[1401].speaker SPEAKER_16
transcript.pyannote[1401].start 7502.48721875
transcript.pyannote[1401].end 7503.28034375
transcript.pyannote[1402].speaker SPEAKER_16
transcript.pyannote[1402].start 7503.68534375
transcript.pyannote[1402].end 7506.65534375
transcript.pyannote[1403].speaker SPEAKER_35
transcript.pyannote[1403].start 7505.57534375
transcript.pyannote[1403].end 7505.96346875
transcript.pyannote[1404].speaker SPEAKER_16
transcript.pyannote[1404].start 7506.85784375
transcript.pyannote[1404].end 7508.89971875
transcript.pyannote[1405].speaker SPEAKER_16
transcript.pyannote[1405].start 7509.33846875
transcript.pyannote[1405].end 7514.18159375
transcript.pyannote[1406].speaker SPEAKER_16
transcript.pyannote[1406].start 7514.73846875
transcript.pyannote[1406].end 7514.75534375
transcript.pyannote[1407].speaker SPEAKER_35
transcript.pyannote[1407].start 7514.75534375
transcript.pyannote[1407].end 7517.05034375
transcript.pyannote[1408].speaker SPEAKER_16
transcript.pyannote[1408].start 7514.77221875
transcript.pyannote[1408].end 7515.88596875
transcript.pyannote[1409].speaker SPEAKER_16
transcript.pyannote[1409].start 7517.05034375
transcript.pyannote[1409].end 7517.57346875
transcript.pyannote[1410].speaker SPEAKER_35
transcript.pyannote[1410].start 7517.57346875
transcript.pyannote[1410].end 7518.04596875
transcript.pyannote[1411].speaker SPEAKER_16
transcript.pyannote[1411].start 7517.67471875
transcript.pyannote[1411].end 7520.22284375
transcript.pyannote[1412].speaker SPEAKER_35
transcript.pyannote[1412].start 7518.83909375
transcript.pyannote[1412].end 7518.94034375
transcript.pyannote[1413].speaker SPEAKER_35
transcript.pyannote[1413].start 7519.51409375
transcript.pyannote[1413].end 7520.17221875
transcript.pyannote[1414].speaker SPEAKER_35
transcript.pyannote[1414].start 7520.22284375
transcript.pyannote[1414].end 7520.47596875
transcript.pyannote[1415].speaker SPEAKER_16
transcript.pyannote[1415].start 7520.47596875
transcript.pyannote[1415].end 7521.67409375
transcript.pyannote[1416].speaker SPEAKER_35
transcript.pyannote[1416].start 7520.54346875
transcript.pyannote[1416].end 7523.96909375
transcript.pyannote[1417].speaker SPEAKER_34
transcript.pyannote[1417].start 7530.97221875
transcript.pyannote[1417].end 7533.31784375
transcript.pyannote[1418].speaker SPEAKER_34
transcript.pyannote[1418].start 7533.65534375
transcript.pyannote[1418].end 7534.65096875
transcript.pyannote[1419].speaker SPEAKER_34
transcript.pyannote[1419].start 7534.88721875
transcript.pyannote[1419].end 7537.33409375
transcript.pyannote[1420].speaker SPEAKER_34
transcript.pyannote[1420].start 7537.38471875
transcript.pyannote[1420].end 7538.38034375
transcript.pyannote[1421].speaker SPEAKER_00
transcript.pyannote[1421].start 7537.63784375
transcript.pyannote[1421].end 7538.21159375
transcript.pyannote[1422].speaker SPEAKER_34
transcript.pyannote[1422].start 7538.58284375
transcript.pyannote[1422].end 7540.08471875
transcript.pyannote[1423].speaker SPEAKER_34
transcript.pyannote[1423].start 7540.38846875
transcript.pyannote[1423].end 7541.35034375
transcript.pyannote[1424].speaker SPEAKER_34
transcript.pyannote[1424].start 7541.72159375
transcript.pyannote[1424].end 7544.47221875
transcript.pyannote[1425].speaker SPEAKER_00
transcript.pyannote[1425].start 7542.00846875
transcript.pyannote[1425].end 7542.97034375
transcript.pyannote[1426].speaker SPEAKER_00
transcript.pyannote[1426].start 7543.88159375
transcript.pyannote[1426].end 7544.18534375
transcript.pyannote[1427].speaker SPEAKER_34
transcript.pyannote[1427].start 7544.59034375
transcript.pyannote[1427].end 7548.52221875
transcript.pyannote[1428].speaker SPEAKER_35
transcript.pyannote[1428].start 7546.19346875
transcript.pyannote[1428].end 7546.76721875
transcript.pyannote[1429].speaker SPEAKER_35
transcript.pyannote[1429].start 7548.52221875
transcript.pyannote[1429].end 7548.65721875
transcript.pyannote[1430].speaker SPEAKER_34
transcript.pyannote[1430].start 7548.75846875
transcript.pyannote[1430].end 7548.77534375
transcript.pyannote[1431].speaker SPEAKER_35
transcript.pyannote[1431].start 7548.77534375
transcript.pyannote[1431].end 7548.80909375
transcript.pyannote[1432].speaker SPEAKER_34
transcript.pyannote[1432].start 7548.80909375
transcript.pyannote[1432].end 7550.88471875
transcript.pyannote[1433].speaker SPEAKER_35
transcript.pyannote[1433].start 7550.88471875
transcript.pyannote[1433].end 7550.93534375
transcript.pyannote[1434].speaker SPEAKER_35
transcript.pyannote[1434].start 7551.07034375
transcript.pyannote[1434].end 7551.10409375
transcript.pyannote[1435].speaker SPEAKER_34
transcript.pyannote[1435].start 7551.10409375
transcript.pyannote[1435].end 7551.17159375
transcript.pyannote[1436].speaker SPEAKER_35
transcript.pyannote[1436].start 7551.17159375
transcript.pyannote[1436].end 7555.71096875
transcript.pyannote[1437].speaker SPEAKER_34
transcript.pyannote[1437].start 7554.54659375
transcript.pyannote[1437].end 7560.19971875
transcript.pyannote[1438].speaker SPEAKER_15
transcript.pyannote[1438].start 7560.43596875
transcript.pyannote[1438].end 7562.03909375
transcript.pyannote[1439].speaker SPEAKER_15
transcript.pyannote[1439].start 7563.01784375
transcript.pyannote[1439].end 7563.03471875
transcript.pyannote[1440].speaker SPEAKER_07
transcript.pyannote[1440].start 7566.98346875
transcript.pyannote[1440].end 7569.86909375
transcript.pyannote[1441].speaker SPEAKER_07
transcript.pyannote[1441].start 7570.08846875
transcript.pyannote[1441].end 7572.06284375
transcript.pyannote[1442].speaker SPEAKER_07
transcript.pyannote[1442].start 7572.31596875
transcript.pyannote[1442].end 7572.82221875
transcript.pyannote[1443].speaker SPEAKER_07
transcript.pyannote[1443].start 7574.07096875
transcript.pyannote[1443].end 7575.50534375
transcript.pyannote[1444].speaker SPEAKER_07
transcript.pyannote[1444].start 8201.33159375
transcript.pyannote[1444].end 8205.56721875
transcript.pyannote[1445].speaker SPEAKER_19
transcript.pyannote[1445].start 8225.19284375
transcript.pyannote[1445].end 8227.38659375
transcript.pyannote[1446].speaker SPEAKER_07
transcript.pyannote[1446].start 8227.53846875
transcript.pyannote[1446].end 8229.05721875
transcript.pyannote[1447].speaker SPEAKER_19
transcript.pyannote[1447].start 8238.94596875
transcript.pyannote[1447].end 8240.09346875
transcript.pyannote[1448].speaker SPEAKER_19
transcript.pyannote[1448].start 8240.39721875
transcript.pyannote[1448].end 8245.93221875
transcript.pyannote[1449].speaker SPEAKER_19
transcript.pyannote[1449].start 8246.10096875
transcript.pyannote[1449].end 8248.61534375
transcript.pyannote[1450].speaker SPEAKER_19
transcript.pyannote[1450].start 8248.96971875
transcript.pyannote[1450].end 8252.53034375
transcript.pyannote[1451].speaker SPEAKER_19
transcript.pyannote[1451].start 8252.86784375
transcript.pyannote[1451].end 8253.74534375
transcript.pyannote[1452].speaker SPEAKER_19
transcript.pyannote[1452].start 8254.21784375
transcript.pyannote[1452].end 8262.57096875
transcript.pyannote[1453].speaker SPEAKER_19
transcript.pyannote[1453].start 8262.92534375
transcript.pyannote[1453].end 8270.26596875
transcript.pyannote[1454].speaker SPEAKER_19
transcript.pyannote[1454].start 8271.12659375
transcript.pyannote[1454].end 8274.85596875
transcript.pyannote[1455].speaker SPEAKER_19
transcript.pyannote[1455].start 8276.27346875
transcript.pyannote[1455].end 8277.74159375
transcript.pyannote[1456].speaker SPEAKER_19
transcript.pyannote[1456].start 8278.21409375
transcript.pyannote[1456].end 8283.42846875
transcript.pyannote[1457].speaker SPEAKER_19
transcript.pyannote[1457].start 8283.93471875
transcript.pyannote[1457].end 8294.65034375
transcript.pyannote[1458].speaker SPEAKER_19
transcript.pyannote[1458].start 8295.05534375
transcript.pyannote[1458].end 8295.67971875
transcript.pyannote[1459].speaker SPEAKER_19
transcript.pyannote[1459].start 8296.08471875
transcript.pyannote[1459].end 8303.98221875
transcript.pyannote[1460].speaker SPEAKER_16
transcript.pyannote[1460].start 8304.40409375
transcript.pyannote[1460].end 8308.99409375
transcript.pyannote[1461].speaker SPEAKER_16
transcript.pyannote[1461].start 8309.23034375
transcript.pyannote[1461].end 8310.96846875
transcript.pyannote[1462].speaker SPEAKER_19
transcript.pyannote[1462].start 8309.80409375
transcript.pyannote[1462].end 8311.01909375
transcript.pyannote[1463].speaker SPEAKER_19
transcript.pyannote[1463].start 8311.66034375
transcript.pyannote[1463].end 8320.62096875
transcript.pyannote[1464].speaker SPEAKER_19
transcript.pyannote[1464].start 8322.05534375
transcript.pyannote[1464].end 8322.89909375
transcript.pyannote[1465].speaker SPEAKER_19
transcript.pyannote[1465].start 8323.15221875
transcript.pyannote[1465].end 8324.29971875
transcript.pyannote[1466].speaker SPEAKER_19
transcript.pyannote[1466].start 8324.78909375
transcript.pyannote[1466].end 8330.07096875
transcript.pyannote[1467].speaker SPEAKER_16
transcript.pyannote[1467].start 8330.35784375
transcript.pyannote[1467].end 8332.09596875
transcript.pyannote[1468].speaker SPEAKER_19
transcript.pyannote[1468].start 8331.84284375
transcript.pyannote[1468].end 8331.94409375
transcript.pyannote[1469].speaker SPEAKER_19
transcript.pyannote[1469].start 8332.09596875
transcript.pyannote[1469].end 8332.66971875
transcript.pyannote[1470].speaker SPEAKER_16
transcript.pyannote[1470].start 8332.66971875
transcript.pyannote[1470].end 8332.93971875
transcript.pyannote[1471].speaker SPEAKER_19
transcript.pyannote[1471].start 8332.93971875
transcript.pyannote[1471].end 8337.47909375
transcript.pyannote[1472].speaker SPEAKER_25
transcript.pyannote[1472].start 8337.41159375
transcript.pyannote[1472].end 8337.63096875
transcript.pyannote[1473].speaker SPEAKER_19
transcript.pyannote[1473].start 8337.63096875
transcript.pyannote[1473].end 8340.60096875
transcript.pyannote[1474].speaker SPEAKER_25
transcript.pyannote[1474].start 8337.64784375
transcript.pyannote[1474].end 8337.78284375
transcript.pyannote[1475].speaker SPEAKER_16
transcript.pyannote[1475].start 8337.78284375
transcript.pyannote[1475].end 8337.83346875
transcript.pyannote[1476].speaker SPEAKER_25
transcript.pyannote[1476].start 8337.83346875
transcript.pyannote[1476].end 8337.85034375
transcript.pyannote[1477].speaker SPEAKER_25
transcript.pyannote[1477].start 8337.98534375
transcript.pyannote[1477].end 8338.03596875
transcript.pyannote[1478].speaker SPEAKER_16
transcript.pyannote[1478].start 8338.03596875
transcript.pyannote[1478].end 8338.10346875
transcript.pyannote[1479].speaker SPEAKER_25
transcript.pyannote[1479].start 8338.10346875
transcript.pyannote[1479].end 8338.12034375
transcript.pyannote[1480].speaker SPEAKER_16
transcript.pyannote[1480].start 8338.12034375
transcript.pyannote[1480].end 8338.25534375
transcript.pyannote[1481].speaker SPEAKER_16
transcript.pyannote[1481].start 8340.97221875
transcript.pyannote[1481].end 8348.02596875
transcript.pyannote[1482].speaker SPEAKER_19
transcript.pyannote[1482].start 8348.02596875
transcript.pyannote[1482].end 8350.06784375
transcript.pyannote[1483].speaker SPEAKER_16
transcript.pyannote[1483].start 8348.39721875
transcript.pyannote[1483].end 8349.19034375
transcript.pyannote[1484].speaker SPEAKER_19
transcript.pyannote[1484].start 8350.79346875
transcript.pyannote[1484].end 8356.46346875
transcript.pyannote[1485].speaker SPEAKER_19
transcript.pyannote[1485].start 8356.81784375
transcript.pyannote[1485].end 8357.69534375
transcript.pyannote[1486].speaker SPEAKER_19
transcript.pyannote[1486].start 8358.35346875
transcript.pyannote[1486].end 8363.70284375
transcript.pyannote[1487].speaker SPEAKER_19
transcript.pyannote[1487].start 8364.15846875
transcript.pyannote[1487].end 8382.41721875
transcript.pyannote[1488].speaker SPEAKER_19
transcript.pyannote[1488].start 8382.63659375
transcript.pyannote[1488].end 8385.64034375
transcript.pyannote[1489].speaker SPEAKER_16
transcript.pyannote[1489].start 8385.64034375
transcript.pyannote[1489].end 8388.18846875
transcript.pyannote[1490].speaker SPEAKER_19
transcript.pyannote[1490].start 8388.52596875
transcript.pyannote[1490].end 8389.85909375
transcript.pyannote[1491].speaker SPEAKER_16
transcript.pyannote[1491].start 8388.54284375
transcript.pyannote[1491].end 8398.83659375
transcript.pyannote[1492].speaker SPEAKER_19
transcript.pyannote[1492].start 8390.71971875
transcript.pyannote[1492].end 8393.21721875
transcript.pyannote[1493].speaker SPEAKER_19
transcript.pyannote[1493].start 8397.92534375
transcript.pyannote[1493].end 8402.58284375
transcript.pyannote[1494].speaker SPEAKER_19
transcript.pyannote[1494].start 8403.78096875
transcript.pyannote[1494].end 8405.97471875
transcript.pyannote[1495].speaker SPEAKER_16
transcript.pyannote[1495].start 8405.97471875
transcript.pyannote[1495].end 8406.88596875
transcript.pyannote[1496].speaker SPEAKER_19
transcript.pyannote[1496].start 8406.88596875
transcript.pyannote[1496].end 8406.91971875
transcript.pyannote[1497].speaker SPEAKER_16
transcript.pyannote[1497].start 8407.22346875
transcript.pyannote[1497].end 8411.12159375
transcript.pyannote[1498].speaker SPEAKER_16
transcript.pyannote[1498].start 8411.74596875
transcript.pyannote[1498].end 8416.52159375
transcript.pyannote[1499].speaker SPEAKER_16
transcript.pyannote[1499].start 8416.75784375
transcript.pyannote[1499].end 8424.03096875
transcript.pyannote[1500].speaker SPEAKER_19
transcript.pyannote[1500].start 8424.03096875
transcript.pyannote[1500].end 8427.62534375
transcript.pyannote[1501].speaker SPEAKER_19
transcript.pyannote[1501].start 8427.81096875
transcript.pyannote[1501].end 8434.49346875
transcript.pyannote[1502].speaker SPEAKER_16
transcript.pyannote[1502].start 8434.49346875
transcript.pyannote[1502].end 8434.52721875
transcript.pyannote[1503].speaker SPEAKER_19
transcript.pyannote[1503].start 8434.52721875
transcript.pyannote[1503].end 8434.62846875
transcript.pyannote[1504].speaker SPEAKER_19
transcript.pyannote[1504].start 8435.03346875
transcript.pyannote[1504].end 8435.05034375
transcript.pyannote[1505].speaker SPEAKER_16
transcript.pyannote[1505].start 8435.05034375
transcript.pyannote[1505].end 8445.04034375
transcript.pyannote[1506].speaker SPEAKER_19
transcript.pyannote[1506].start 8438.88096875
transcript.pyannote[1506].end 8441.12534375
transcript.pyannote[1507].speaker SPEAKER_19
transcript.pyannote[1507].start 8443.74096875
transcript.pyannote[1507].end 8448.93846875
transcript.pyannote[1508].speaker SPEAKER_16
transcript.pyannote[1508].start 8445.20909375
transcript.pyannote[1508].end 8445.27659375
transcript.pyannote[1509].speaker SPEAKER_16
transcript.pyannote[1509].start 8447.89221875
transcript.pyannote[1509].end 8448.73596875
transcript.pyannote[1510].speaker SPEAKER_19
transcript.pyannote[1510].start 8449.42784375
transcript.pyannote[1510].end 8455.70534375
transcript.pyannote[1511].speaker SPEAKER_19
transcript.pyannote[1511].start 8456.16096875
transcript.pyannote[1511].end 8458.40534375
transcript.pyannote[1512].speaker SPEAKER_25
transcript.pyannote[1512].start 8458.47284375
transcript.pyannote[1512].end 8458.75971875
transcript.pyannote[1513].speaker SPEAKER_19
transcript.pyannote[1513].start 8458.84409375
transcript.pyannote[1513].end 8470.48784375
transcript.pyannote[1514].speaker SPEAKER_16
transcript.pyannote[1514].start 8469.40784375
transcript.pyannote[1514].end 8472.02346875
transcript.pyannote[1515].speaker SPEAKER_19
transcript.pyannote[1515].start 8472.02346875
transcript.pyannote[1515].end 8474.97659375
transcript.pyannote[1516].speaker SPEAKER_16
transcript.pyannote[1516].start 8473.67721875
transcript.pyannote[1516].end 8476.27596875
transcript.pyannote[1517].speaker SPEAKER_19
transcript.pyannote[1517].start 8475.19596875
transcript.pyannote[1517].end 8482.14846875
transcript.pyannote[1518].speaker SPEAKER_19
transcript.pyannote[1518].start 8482.57034375
transcript.pyannote[1518].end 8483.73471875
transcript.pyannote[1519].speaker SPEAKER_19
transcript.pyannote[1519].start 8484.29159375
transcript.pyannote[1519].end 8485.55721875
transcript.pyannote[1520].speaker SPEAKER_16
transcript.pyannote[1520].start 8486.33346875
transcript.pyannote[1520].end 8491.44659375
transcript.pyannote[1521].speaker SPEAKER_19
transcript.pyannote[1521].start 8490.51846875
transcript.pyannote[1521].end 8490.94034375
transcript.pyannote[1522].speaker SPEAKER_16
transcript.pyannote[1522].start 8492.00346875
transcript.pyannote[1522].end 8495.95221875
transcript.pyannote[1523].speaker SPEAKER_19
transcript.pyannote[1523].start 8494.70346875
transcript.pyannote[1523].end 8495.27721875
transcript.pyannote[1524].speaker SPEAKER_16
transcript.pyannote[1524].start 8496.25596875
transcript.pyannote[1524].end 8506.02659375
transcript.pyannote[1525].speaker SPEAKER_19
transcript.pyannote[1525].start 8496.30659375
transcript.pyannote[1525].end 8499.02346875
transcript.pyannote[1526].speaker SPEAKER_19
transcript.pyannote[1526].start 8506.02659375
transcript.pyannote[1526].end 8507.34284375
transcript.pyannote[1527].speaker SPEAKER_16
transcript.pyannote[1527].start 8507.61284375
transcript.pyannote[1527].end 8507.64659375
transcript.pyannote[1528].speaker SPEAKER_19
transcript.pyannote[1528].start 8507.64659375
transcript.pyannote[1528].end 8508.08534375
transcript.pyannote[1529].speaker SPEAKER_19
transcript.pyannote[1529].start 8508.32159375
transcript.pyannote[1529].end 8509.75596875
transcript.pyannote[1530].speaker SPEAKER_19
transcript.pyannote[1530].start 8510.00909375
transcript.pyannote[1530].end 8511.79784375
transcript.pyannote[1531].speaker SPEAKER_19
transcript.pyannote[1531].start 8512.42221875
transcript.pyannote[1531].end 8527.30596875
transcript.pyannote[1532].speaker SPEAKER_19
transcript.pyannote[1532].start 8527.62659375
transcript.pyannote[1532].end 8528.97659375
transcript.pyannote[1533].speaker SPEAKER_16
transcript.pyannote[1533].start 8527.72784375
transcript.pyannote[1533].end 8528.14971875
transcript.pyannote[1534].speaker SPEAKER_16
transcript.pyannote[1534].start 8528.97659375
transcript.pyannote[1534].end 8533.66784375
transcript.pyannote[1535].speaker SPEAKER_19
transcript.pyannote[1535].start 8531.35596875
transcript.pyannote[1535].end 8531.77784375
transcript.pyannote[1536].speaker SPEAKER_19
transcript.pyannote[1536].start 8532.16596875
transcript.pyannote[1536].end 8532.46971875
transcript.pyannote[1537].speaker SPEAKER_19
transcript.pyannote[1537].start 8533.93784375
transcript.pyannote[1537].end 8540.73846875
transcript.pyannote[1538].speaker SPEAKER_19
transcript.pyannote[1538].start 8541.00846875
transcript.pyannote[1538].end 8541.27846875
transcript.pyannote[1539].speaker SPEAKER_19
transcript.pyannote[1539].start 8541.64971875
transcript.pyannote[1539].end 8547.16784375
transcript.pyannote[1540].speaker SPEAKER_16
transcript.pyannote[1540].start 8548.06221875
transcript.pyannote[1540].end 8549.51346875
transcript.pyannote[1541].speaker SPEAKER_16
transcript.pyannote[1541].start 8549.80034375
transcript.pyannote[1541].end 8554.15409375
transcript.pyannote[1542].speaker SPEAKER_19
transcript.pyannote[1542].start 8553.56346875
transcript.pyannote[1542].end 8553.63096875
transcript.pyannote[1543].speaker SPEAKER_16
transcript.pyannote[1543].start 8554.45784375
transcript.pyannote[1543].end 8554.50846875
transcript.pyannote[1544].speaker SPEAKER_19
transcript.pyannote[1544].start 8554.50846875
transcript.pyannote[1544].end 8561.10659375
transcript.pyannote[1545].speaker SPEAKER_16
transcript.pyannote[1545].start 8554.57596875
transcript.pyannote[1545].end 8554.87971875
transcript.pyannote[1546].speaker SPEAKER_19
transcript.pyannote[1546].start 8561.79846875
transcript.pyannote[1546].end 8562.20346875
transcript.pyannote[1547].speaker SPEAKER_19
transcript.pyannote[1547].start 8562.67596875
transcript.pyannote[1547].end 8563.63784375
transcript.pyannote[1548].speaker SPEAKER_19
transcript.pyannote[1548].start 8564.43096875
transcript.pyannote[1548].end 8579.97284375
transcript.pyannote[1549].speaker SPEAKER_16
transcript.pyannote[1549].start 8568.48096875
transcript.pyannote[1549].end 8569.32471875
transcript.pyannote[1550].speaker SPEAKER_16
transcript.pyannote[1550].start 8575.51784375
transcript.pyannote[1550].end 8575.95659375
transcript.pyannote[1551].speaker SPEAKER_16
transcript.pyannote[1551].start 8579.97284375
transcript.pyannote[1551].end 8581.18784375
transcript.pyannote[1552].speaker SPEAKER_16
transcript.pyannote[1552].start 8582.38596875
transcript.pyannote[1552].end 8586.92534375
transcript.pyannote[1553].speaker SPEAKER_16
transcript.pyannote[1553].start 8587.11096875
transcript.pyannote[1553].end 8589.70971875
transcript.pyannote[1554].speaker SPEAKER_16
transcript.pyannote[1554].start 8590.11471875
transcript.pyannote[1554].end 8596.40909375
transcript.pyannote[1555].speaker SPEAKER_19
transcript.pyannote[1555].start 8594.73846875
transcript.pyannote[1555].end 8596.79721875
transcript.pyannote[1556].speaker SPEAKER_16
transcript.pyannote[1556].start 8596.79721875
transcript.pyannote[1556].end 8596.81409375
transcript.pyannote[1557].speaker SPEAKER_19
transcript.pyannote[1557].start 8596.81409375
transcript.pyannote[1557].end 8599.91909375
transcript.pyannote[1558].speaker SPEAKER_19
transcript.pyannote[1558].start 8600.34096875
transcript.pyannote[1558].end 8600.35784375
transcript.pyannote[1559].speaker SPEAKER_16
transcript.pyannote[1559].start 8600.35784375
transcript.pyannote[1559].end 8600.79659375
transcript.pyannote[1560].speaker SPEAKER_19
transcript.pyannote[1560].start 8600.79659375
transcript.pyannote[1560].end 8603.10846875
transcript.pyannote[1561].speaker SPEAKER_16
transcript.pyannote[1561].start 8601.16784375
transcript.pyannote[1561].end 8604.18846875
transcript.pyannote[1562].speaker SPEAKER_16
transcript.pyannote[1562].start 8604.27284375
transcript.pyannote[1562].end 8608.55909375
transcript.pyannote[1563].speaker SPEAKER_19
transcript.pyannote[1563].start 8608.55909375
transcript.pyannote[1563].end 8608.57596875
transcript.pyannote[1564].speaker SPEAKER_19
transcript.pyannote[1564].start 8608.89659375
transcript.pyannote[1564].end 8608.91346875
transcript.pyannote[1565].speaker SPEAKER_16
transcript.pyannote[1565].start 8608.91346875
transcript.pyannote[1565].end 8610.21284375
transcript.pyannote[1566].speaker SPEAKER_19
transcript.pyannote[1566].start 8609.90909375
transcript.pyannote[1566].end 8611.91721875
transcript.pyannote[1567].speaker SPEAKER_19
transcript.pyannote[1567].start 8612.40659375
transcript.pyannote[1567].end 8616.37221875
transcript.pyannote[1568].speaker SPEAKER_19
transcript.pyannote[1568].start 8616.69284375
transcript.pyannote[1568].end 8617.63784375
transcript.pyannote[1569].speaker SPEAKER_19
transcript.pyannote[1569].start 8618.14409375
transcript.pyannote[1569].end 8620.30409375
transcript.pyannote[1570].speaker SPEAKER_19
transcript.pyannote[1570].start 8620.55721875
transcript.pyannote[1570].end 8622.63284375
transcript.pyannote[1571].speaker SPEAKER_19
transcript.pyannote[1571].start 8622.95346875
transcript.pyannote[1571].end 8625.95721875
transcript.pyannote[1572].speaker SPEAKER_19
transcript.pyannote[1572].start 8626.44659375
transcript.pyannote[1572].end 8626.83471875
transcript.pyannote[1573].speaker SPEAKER_19
transcript.pyannote[1573].start 8627.17221875
transcript.pyannote[1573].end 8631.57659375
transcript.pyannote[1574].speaker SPEAKER_19
transcript.pyannote[1574].start 8631.98159375
transcript.pyannote[1574].end 8637.14534375
transcript.pyannote[1575].speaker SPEAKER_19
transcript.pyannote[1575].start 8637.21284375
transcript.pyannote[1575].end 8646.03846875
transcript.pyannote[1576].speaker SPEAKER_19
transcript.pyannote[1576].start 8646.37596875
transcript.pyannote[1576].end 8646.39284375
transcript.pyannote[1577].speaker SPEAKER_16
transcript.pyannote[1577].start 8646.39284375
transcript.pyannote[1577].end 8647.96221875
transcript.pyannote[1578].speaker SPEAKER_19
transcript.pyannote[1578].start 8647.96221875
transcript.pyannote[1578].end 8661.74909375
transcript.pyannote[1579].speaker SPEAKER_16
transcript.pyannote[1579].start 8647.97909375
transcript.pyannote[1579].end 8649.53159375
transcript.pyannote[1580].speaker SPEAKER_19
transcript.pyannote[1580].start 8662.17096875
transcript.pyannote[1580].end 8663.45346875
transcript.pyannote[1581].speaker SPEAKER_19
transcript.pyannote[1581].start 8663.75721875
transcript.pyannote[1581].end 8666.20409375
transcript.pyannote[1582].speaker SPEAKER_19
transcript.pyannote[1582].start 8667.23346875
transcript.pyannote[1582].end 8675.21534375
transcript.pyannote[1583].speaker SPEAKER_19
transcript.pyannote[1583].start 8675.90721875
transcript.pyannote[1583].end 8677.35846875
transcript.pyannote[1584].speaker SPEAKER_19
transcript.pyannote[1584].start 8677.99971875
transcript.pyannote[1584].end 8680.63221875
transcript.pyannote[1585].speaker SPEAKER_19
transcript.pyannote[1585].start 8681.25659375
transcript.pyannote[1585].end 8682.31971875
transcript.pyannote[1586].speaker SPEAKER_19
transcript.pyannote[1586].start 8682.89346875
transcript.pyannote[1586].end 8684.39534375
transcript.pyannote[1587].speaker SPEAKER_19
transcript.pyannote[1587].start 8684.66534375
transcript.pyannote[1587].end 8687.09534375
transcript.pyannote[1588].speaker SPEAKER_19
transcript.pyannote[1588].start 8687.28096875
transcript.pyannote[1588].end 8688.17534375
transcript.pyannote[1589].speaker SPEAKER_19
transcript.pyannote[1589].start 8688.91784375
transcript.pyannote[1589].end 8689.91346875
transcript.pyannote[1590].speaker SPEAKER_19
transcript.pyannote[1590].start 8690.38596875
transcript.pyannote[1590].end 8692.95096875
transcript.pyannote[1591].speaker SPEAKER_16
transcript.pyannote[1591].start 8695.39784375
transcript.pyannote[1591].end 8701.89471875
transcript.pyannote[1592].speaker SPEAKER_16
transcript.pyannote[1592].start 8703.17721875
transcript.pyannote[1592].end 8703.19409375
transcript.pyannote[1593].speaker SPEAKER_19
transcript.pyannote[1593].start 8703.19409375
transcript.pyannote[1593].end 8709.60659375
transcript.pyannote[1594].speaker SPEAKER_16
transcript.pyannote[1594].start 8705.06721875
transcript.pyannote[1594].end 8706.43409375
transcript.pyannote[1595].speaker SPEAKER_16
transcript.pyannote[1595].start 8708.12159375
transcript.pyannote[1595].end 8709.58971875
transcript.pyannote[1596].speaker SPEAKER_16
transcript.pyannote[1596].start 8709.60659375
transcript.pyannote[1596].end 8709.65721875
transcript.pyannote[1597].speaker SPEAKER_16
transcript.pyannote[1597].start 8710.01159375
transcript.pyannote[1597].end 8713.87596875
transcript.pyannote[1598].speaker SPEAKER_19
transcript.pyannote[1598].start 8712.57659375
transcript.pyannote[1598].end 8731.03784375
transcript.pyannote[1599].speaker SPEAKER_16
transcript.pyannote[1599].start 8716.60971875
transcript.pyannote[1599].end 8718.02721875
transcript.pyannote[1600].speaker SPEAKER_15
transcript.pyannote[1600].start 8718.02721875
transcript.pyannote[1600].end 8719.30971875
transcript.pyannote[1601].speaker SPEAKER_15
transcript.pyannote[1601].start 8722.27971875
transcript.pyannote[1601].end 8725.03034375
transcript.pyannote[1602].speaker SPEAKER_19
transcript.pyannote[1602].start 8731.15596875
transcript.pyannote[1602].end 8734.19346875
transcript.pyannote[1603].speaker SPEAKER_19
transcript.pyannote[1603].start 8734.80096875
transcript.pyannote[1603].end 8737.24784375
transcript.pyannote[1604].speaker SPEAKER_19
transcript.pyannote[1604].start 8737.45034375
transcript.pyannote[1604].end 8738.56409375
transcript.pyannote[1605].speaker SPEAKER_19
transcript.pyannote[1605].start 8738.86784375
transcript.pyannote[1605].end 8739.84659375
transcript.pyannote[1606].speaker SPEAKER_19
transcript.pyannote[1606].start 8740.58909375
transcript.pyannote[1606].end 8743.87971875
transcript.pyannote[1607].speaker SPEAKER_19
transcript.pyannote[1607].start 8744.55471875
transcript.pyannote[1607].end 8747.57534375
transcript.pyannote[1608].speaker SPEAKER_16
transcript.pyannote[1608].start 8747.76096875
transcript.pyannote[1608].end 8748.90846875
transcript.pyannote[1609].speaker SPEAKER_19
transcript.pyannote[1609].start 8748.90846875
transcript.pyannote[1609].end 8748.94221875
transcript.pyannote[1610].speaker SPEAKER_16
transcript.pyannote[1610].start 8748.94221875
transcript.pyannote[1610].end 8749.58346875
transcript.pyannote[1611].speaker SPEAKER_16
transcript.pyannote[1611].start 8749.66784375
transcript.pyannote[1611].end 8749.83659375
transcript.pyannote[1612].speaker SPEAKER_19
transcript.pyannote[1612].start 8749.83659375
transcript.pyannote[1612].end 8749.85346875
transcript.pyannote[1613].speaker SPEAKER_16
transcript.pyannote[1613].start 8749.85346875
transcript.pyannote[1613].end 8749.87034375
transcript.pyannote[1614].speaker SPEAKER_19
transcript.pyannote[1614].start 8749.87034375
transcript.pyannote[1614].end 8751.30471875
transcript.pyannote[1615].speaker SPEAKER_19
transcript.pyannote[1615].start 8752.41846875
transcript.pyannote[1615].end 8752.85721875
transcript.pyannote[1616].speaker SPEAKER_19
transcript.pyannote[1616].start 8753.65034375
transcript.pyannote[1616].end 8756.26596875
transcript.pyannote[1617].speaker SPEAKER_19
transcript.pyannote[1617].start 8757.12659375
transcript.pyannote[1617].end 8763.57284375
transcript.pyannote[1618].speaker SPEAKER_19
transcript.pyannote[1618].start 8763.84284375
transcript.pyannote[1618].end 8765.20971875
transcript.pyannote[1619].speaker SPEAKER_19
transcript.pyannote[1619].start 8766.44159375
transcript.pyannote[1619].end 8767.97721875
transcript.pyannote[1620].speaker SPEAKER_16
transcript.pyannote[1620].start 8767.97721875
transcript.pyannote[1620].end 8769.36096875
transcript.pyannote[1621].speaker SPEAKER_16
transcript.pyannote[1621].start 8770.12034375
transcript.pyannote[1621].end 8772.92159375
transcript.pyannote[1622].speaker SPEAKER_25
transcript.pyannote[1622].start 8773.22534375
transcript.pyannote[1622].end 8773.49534375
transcript.pyannote[1623].speaker SPEAKER_16
transcript.pyannote[1623].start 8773.78221875
transcript.pyannote[1623].end 8776.21221875
transcript.pyannote[1624].speaker SPEAKER_16
transcript.pyannote[1624].start 8776.61721875
transcript.pyannote[1624].end 8781.54471875
transcript.pyannote[1625].speaker SPEAKER_16
transcript.pyannote[1625].start 8781.73034375
transcript.pyannote[1625].end 8784.32909375
transcript.pyannote[1626].speaker SPEAKER_16
transcript.pyannote[1626].start 8784.68346875
transcript.pyannote[1626].end 8786.50596875
transcript.pyannote[1627].speaker SPEAKER_16
transcript.pyannote[1627].start 8786.79284375
transcript.pyannote[1627].end 8788.31159375
transcript.pyannote[1628].speaker SPEAKER_19
transcript.pyannote[1628].start 8789.22284375
transcript.pyannote[1628].end 8789.39159375
transcript.pyannote[1629].speaker SPEAKER_16
transcript.pyannote[1629].start 8789.91471875
transcript.pyannote[1629].end 8791.02846875
transcript.pyannote[1630].speaker SPEAKER_19
transcript.pyannote[1630].start 8791.02846875
transcript.pyannote[1630].end 8798.31846875
transcript.pyannote[1631].speaker SPEAKER_19
transcript.pyannote[1631].start 8798.52096875
transcript.pyannote[1631].end 8804.84909375
transcript.pyannote[1632].speaker SPEAKER_19
transcript.pyannote[1632].start 8804.96721875
transcript.pyannote[1632].end 8813.60721875
transcript.pyannote[1633].speaker SPEAKER_16
transcript.pyannote[1633].start 8806.23284375
transcript.pyannote[1633].end 8807.21159375
transcript.pyannote[1634].speaker SPEAKER_19
transcript.pyannote[1634].start 8813.77596875
transcript.pyannote[1634].end 8820.99846875
transcript.pyannote[1635].speaker SPEAKER_16
transcript.pyannote[1635].start 8813.82659375
transcript.pyannote[1635].end 8813.86034375
transcript.pyannote[1636].speaker SPEAKER_25
transcript.pyannote[1636].start 8813.86034375
transcript.pyannote[1636].end 8813.92784375
transcript.pyannote[1637].speaker SPEAKER_16
transcript.pyannote[1637].start 8813.92784375
transcript.pyannote[1637].end 8813.99534375
transcript.pyannote[1638].speaker SPEAKER_25
transcript.pyannote[1638].start 8813.99534375
transcript.pyannote[1638].end 8814.33284375
transcript.pyannote[1639].speaker SPEAKER_25
transcript.pyannote[1639].start 8817.42096875
transcript.pyannote[1639].end 8817.84284375
transcript.pyannote[1640].speaker SPEAKER_16
transcript.pyannote[1640].start 8818.83846875
transcript.pyannote[1640].end 8820.96471875
transcript.pyannote[1641].speaker SPEAKER_16
transcript.pyannote[1641].start 8820.99846875
transcript.pyannote[1641].end 8821.11659375
transcript.pyannote[1642].speaker SPEAKER_19
transcript.pyannote[1642].start 8821.11659375
transcript.pyannote[1642].end 8821.97721875
transcript.pyannote[1643].speaker SPEAKER_16
transcript.pyannote[1643].start 8821.97721875
transcript.pyannote[1643].end 8830.70159375
transcript.pyannote[1644].speaker SPEAKER_19
transcript.pyannote[1644].start 8822.80409375
transcript.pyannote[1644].end 8823.17534375
transcript.pyannote[1645].speaker SPEAKER_19
transcript.pyannote[1645].start 8826.51659375
transcript.pyannote[1645].end 8826.97221875
transcript.pyannote[1646].speaker SPEAKER_19
transcript.pyannote[1646].start 8827.02284375
transcript.pyannote[1646].end 8827.17471875
transcript.pyannote[1647].speaker SPEAKER_19
transcript.pyannote[1647].start 8829.35159375
transcript.pyannote[1647].end 8835.08909375
transcript.pyannote[1648].speaker SPEAKER_19
transcript.pyannote[1648].start 8835.22409375
transcript.pyannote[1648].end 8838.32909375
transcript.pyannote[1649].speaker SPEAKER_19
transcript.pyannote[1649].start 8838.43034375
transcript.pyannote[1649].end 8838.48096875
transcript.pyannote[1650].speaker SPEAKER_16
transcript.pyannote[1650].start 8838.48096875
transcript.pyannote[1650].end 8841.33284375
transcript.pyannote[1651].speaker SPEAKER_19
transcript.pyannote[1651].start 8838.68346875
transcript.pyannote[1651].end 8839.62846875
transcript.pyannote[1652].speaker SPEAKER_19
transcript.pyannote[1652].start 8841.33284375
transcript.pyannote[1652].end 8841.73784375
transcript.pyannote[1653].speaker SPEAKER_16
transcript.pyannote[1653].start 8841.38346875
transcript.pyannote[1653].end 8842.02471875
transcript.pyannote[1654].speaker SPEAKER_19
transcript.pyannote[1654].start 8842.02471875
transcript.pyannote[1654].end 8844.42096875
transcript.pyannote[1655].speaker SPEAKER_16
transcript.pyannote[1655].start 8842.05846875
transcript.pyannote[1655].end 8842.54784375
transcript.pyannote[1656].speaker SPEAKER_19
transcript.pyannote[1656].start 8844.60659375
transcript.pyannote[1656].end 8859.18659375
transcript.pyannote[1657].speaker SPEAKER_19
transcript.pyannote[1657].start 8859.47346875
transcript.pyannote[1657].end 8860.87409375
transcript.pyannote[1658].speaker SPEAKER_19
transcript.pyannote[1658].start 8862.02159375
transcript.pyannote[1658].end 8870.08784375
transcript.pyannote[1659].speaker SPEAKER_19
transcript.pyannote[1659].start 8870.25659375
transcript.pyannote[1659].end 8872.92284375
transcript.pyannote[1660].speaker SPEAKER_19
transcript.pyannote[1660].start 8873.37846875
transcript.pyannote[1660].end 8874.01971875
transcript.pyannote[1661].speaker SPEAKER_19
transcript.pyannote[1661].start 8874.49221875
transcript.pyannote[1661].end 8876.58471875
transcript.pyannote[1662].speaker SPEAKER_19
transcript.pyannote[1662].start 8876.77034375
transcript.pyannote[1662].end 8877.24284375
transcript.pyannote[1663].speaker SPEAKER_19
transcript.pyannote[1663].start 8878.20471875
transcript.pyannote[1663].end 8879.14971875
transcript.pyannote[1664].speaker SPEAKER_19
transcript.pyannote[1664].start 8879.58846875
transcript.pyannote[1664].end 8880.33096875
transcript.pyannote[1665].speaker SPEAKER_19
transcript.pyannote[1665].start 8880.61784375
transcript.pyannote[1665].end 8884.83659375
transcript.pyannote[1666].speaker SPEAKER_19
transcript.pyannote[1666].start 8884.97159375
transcript.pyannote[1666].end 8885.52846875
transcript.pyannote[1667].speaker SPEAKER_19
transcript.pyannote[1667].start 8886.35534375
transcript.pyannote[1667].end 8886.97971875
transcript.pyannote[1668].speaker SPEAKER_19
transcript.pyannote[1668].start 8887.58721875
transcript.pyannote[1668].end 8888.97096875
transcript.pyannote[1669].speaker SPEAKER_16
transcript.pyannote[1669].start 8888.97096875
transcript.pyannote[1669].end 8889.54471875
transcript.pyannote[1670].speaker SPEAKER_16
transcript.pyannote[1670].start 8890.54034375
transcript.pyannote[1670].end 8891.97471875
transcript.pyannote[1671].speaker SPEAKER_16
transcript.pyannote[1671].start 8892.14346875
transcript.pyannote[1671].end 8892.49784375
transcript.pyannote[1672].speaker SPEAKER_16
transcript.pyannote[1672].start 8893.20659375
transcript.pyannote[1672].end 8898.55596875
transcript.pyannote[1673].speaker SPEAKER_19
transcript.pyannote[1673].start 8895.97409375
transcript.pyannote[1673].end 8896.76721875
transcript.pyannote[1674].speaker SPEAKER_19
transcript.pyannote[1674].start 8897.83034375
transcript.pyannote[1674].end 8898.33659375
transcript.pyannote[1675].speaker SPEAKER_19
transcript.pyannote[1675].start 8898.55596875
transcript.pyannote[1675].end 8903.92221875
transcript.pyannote[1676].speaker SPEAKER_16
transcript.pyannote[1676].start 8901.27284375
transcript.pyannote[1676].end 8901.45846875
transcript.pyannote[1677].speaker SPEAKER_19
transcript.pyannote[1677].start 8904.17534375
transcript.pyannote[1677].end 8911.75221875
transcript.pyannote[1678].speaker SPEAKER_19
transcript.pyannote[1678].start 8912.20784375
transcript.pyannote[1678].end 8917.89471875
transcript.pyannote[1679].speaker SPEAKER_19
transcript.pyannote[1679].start 8918.18159375
transcript.pyannote[1679].end 8920.88159375
transcript.pyannote[1680].speaker SPEAKER_19
transcript.pyannote[1680].start 8921.25284375
transcript.pyannote[1680].end 8929.28534375
transcript.pyannote[1681].speaker SPEAKER_19
transcript.pyannote[1681].start 8929.58909375
transcript.pyannote[1681].end 8934.48284375
transcript.pyannote[1682].speaker SPEAKER_16
transcript.pyannote[1682].start 8934.95534375
transcript.pyannote[1682].end 8934.97221875
transcript.pyannote[1683].speaker SPEAKER_19
transcript.pyannote[1683].start 8934.97221875
transcript.pyannote[1683].end 8936.67659375
transcript.pyannote[1684].speaker SPEAKER_16
transcript.pyannote[1684].start 8937.75659375
transcript.pyannote[1684].end 8937.79034375
transcript.pyannote[1685].speaker SPEAKER_19
transcript.pyannote[1685].start 8937.79034375
transcript.pyannote[1685].end 8941.51971875
transcript.pyannote[1686].speaker SPEAKER_16
transcript.pyannote[1686].start 8937.92534375
transcript.pyannote[1686].end 8938.02659375
transcript.pyannote[1687].speaker SPEAKER_15
transcript.pyannote[1687].start 8938.02659375
transcript.pyannote[1687].end 8940.16971875
transcript.pyannote[1688].speaker SPEAKER_16
transcript.pyannote[1688].start 8940.16971875
transcript.pyannote[1688].end 8940.25409375
transcript.pyannote[1689].speaker SPEAKER_19
transcript.pyannote[1689].start 8941.65471875
transcript.pyannote[1689].end 8948.75909375
transcript.pyannote[1690].speaker SPEAKER_19
transcript.pyannote[1690].start 8949.48471875
transcript.pyannote[1690].end 8957.39909375
transcript.pyannote[1691].speaker SPEAKER_16
transcript.pyannote[1691].start 8957.16284375
transcript.pyannote[1691].end 8957.21346875
transcript.pyannote[1692].speaker SPEAKER_16
transcript.pyannote[1692].start 8957.39909375
transcript.pyannote[1692].end 8957.46659375
transcript.pyannote[1693].speaker SPEAKER_19
transcript.pyannote[1693].start 8957.46659375
transcript.pyannote[1693].end 8957.51721875
transcript.pyannote[1694].speaker SPEAKER_16
transcript.pyannote[1694].start 8957.51721875
transcript.pyannote[1694].end 8957.56784375
transcript.pyannote[1695].speaker SPEAKER_19
transcript.pyannote[1695].start 8957.56784375
transcript.pyannote[1695].end 8957.97284375
transcript.pyannote[1696].speaker SPEAKER_16
transcript.pyannote[1696].start 8957.97284375
transcript.pyannote[1696].end 8964.80721875
transcript.pyannote[1697].speaker SPEAKER_19
transcript.pyannote[1697].start 8961.26346875
transcript.pyannote[1697].end 8963.25471875
transcript.pyannote[1698].speaker SPEAKER_19
transcript.pyannote[1698].start 8963.94659375
transcript.pyannote[1698].end 8976.16409375
transcript.pyannote[1699].speaker SPEAKER_16
transcript.pyannote[1699].start 8966.68034375
transcript.pyannote[1699].end 8966.98409375
transcript.pyannote[1700].speaker SPEAKER_16
transcript.pyannote[1700].start 8967.37221875
transcript.pyannote[1700].end 8968.31721875
transcript.pyannote[1701].speaker SPEAKER_19
transcript.pyannote[1701].start 8976.70409375
transcript.pyannote[1701].end 8981.17596875
transcript.pyannote[1702].speaker SPEAKER_16
transcript.pyannote[1702].start 8980.83846875
transcript.pyannote[1702].end 8981.07471875
transcript.pyannote[1703].speaker SPEAKER_16
transcript.pyannote[1703].start 8981.17596875
transcript.pyannote[1703].end 8981.88471875
transcript.pyannote[1704].speaker SPEAKER_19
transcript.pyannote[1704].start 8981.88471875
transcript.pyannote[1704].end 8989.27596875
transcript.pyannote[1705].speaker SPEAKER_15
transcript.pyannote[1705].start 8985.64784375
transcript.pyannote[1705].end 8986.44096875
transcript.pyannote[1706].speaker SPEAKER_19
transcript.pyannote[1706].start 8989.71471875
transcript.pyannote[1706].end 9002.86034375
transcript.pyannote[1707].speaker SPEAKER_16
transcript.pyannote[1707].start 8995.45221875
transcript.pyannote[1707].end 8996.88659375
transcript.pyannote[1708].speaker SPEAKER_15
transcript.pyannote[1708].start 8996.88659375
transcript.pyannote[1708].end 8996.98784375
transcript.pyannote[1709].speaker SPEAKER_16
transcript.pyannote[1709].start 8999.65409375
transcript.pyannote[1709].end 9000.19409375
transcript.pyannote[1710].speaker SPEAKER_16
transcript.pyannote[1710].start 9000.63284375
transcript.pyannote[1710].end 9001.79721875
transcript.pyannote[1711].speaker SPEAKER_16
transcript.pyannote[1711].start 9002.86034375
transcript.pyannote[1711].end 9009.47534375
transcript.pyannote[1712].speaker SPEAKER_19
transcript.pyannote[1712].start 9003.28221875
transcript.pyannote[1712].end 9004.56471875
transcript.pyannote[1713].speaker SPEAKER_16
transcript.pyannote[1713].start 9009.81284375
transcript.pyannote[1713].end 9010.36971875
transcript.pyannote[1714].speaker SPEAKER_19
transcript.pyannote[1714].start 9010.92659375
transcript.pyannote[1714].end 9017.96346875
transcript.pyannote[1715].speaker SPEAKER_16
transcript.pyannote[1715].start 9017.96346875
transcript.pyannote[1715].end 9018.04784375
transcript.pyannote[1716].speaker SPEAKER_19
transcript.pyannote[1716].start 9018.04784375
transcript.pyannote[1716].end 9018.08159375
transcript.pyannote[1717].speaker SPEAKER_19
transcript.pyannote[1717].start 9018.48659375
transcript.pyannote[1717].end 9018.52034375
transcript.pyannote[1718].speaker SPEAKER_16
transcript.pyannote[1718].start 9018.52034375
transcript.pyannote[1718].end 9025.03409375
transcript.pyannote[1719].speaker SPEAKER_19
transcript.pyannote[1719].start 9019.95471875
transcript.pyannote[1719].end 9020.39346875
transcript.pyannote[1720].speaker SPEAKER_19
transcript.pyannote[1720].start 9023.05971875
transcript.pyannote[1720].end 9023.70096875
transcript.pyannote[1721].speaker SPEAKER_19
transcript.pyannote[1721].start 9025.03409375
transcript.pyannote[1721].end 9031.64909375
transcript.pyannote[1722].speaker SPEAKER_16
transcript.pyannote[1722].start 9025.06784375
transcript.pyannote[1722].end 9025.70909375
transcript.pyannote[1723].speaker SPEAKER_16
transcript.pyannote[1723].start 9027.43034375
transcript.pyannote[1723].end 9031.59846875
transcript.pyannote[1724].speaker SPEAKER_19
transcript.pyannote[1724].start 9031.80096875
transcript.pyannote[1724].end 9039.79971875
transcript.pyannote[1725].speaker SPEAKER_16
transcript.pyannote[1725].start 9031.86846875
transcript.pyannote[1725].end 9033.43784375
transcript.pyannote[1726].speaker SPEAKER_16
transcript.pyannote[1726].start 9036.72846875
transcript.pyannote[1726].end 9037.77471875
transcript.pyannote[1727].speaker SPEAKER_15
transcript.pyannote[1727].start 9037.77471875
transcript.pyannote[1727].end 9037.79159375
transcript.pyannote[1728].speaker SPEAKER_19
transcript.pyannote[1728].start 9040.15409375
transcript.pyannote[1728].end 9048.62534375
transcript.pyannote[1729].speaker SPEAKER_15
transcript.pyannote[1729].start 9043.68096875
transcript.pyannote[1729].end 9043.71471875
transcript.pyannote[1730].speaker SPEAKER_16
transcript.pyannote[1730].start 9043.71471875
transcript.pyannote[1730].end 9045.13221875
transcript.pyannote[1731].speaker SPEAKER_15
transcript.pyannote[1731].start 9045.13221875
transcript.pyannote[1731].end 9045.16596875
transcript.pyannote[1732].speaker SPEAKER_19
transcript.pyannote[1732].start 9049.21596875
transcript.pyannote[1732].end 9057.92346875
transcript.pyannote[1733].speaker SPEAKER_16
transcript.pyannote[1733].start 9049.40159375
transcript.pyannote[1733].end 9049.77284375
transcript.pyannote[1734].speaker SPEAKER_16
transcript.pyannote[1734].start 9050.56596875
transcript.pyannote[1734].end 9051.07221875
transcript.pyannote[1735].speaker SPEAKER_19
transcript.pyannote[1735].start 9058.32846875
transcript.pyannote[1735].end 9058.75034375
transcript.pyannote[1736].speaker SPEAKER_19
transcript.pyannote[1736].start 9059.40846875
transcript.pyannote[1736].end 9061.70346875
transcript.pyannote[1737].speaker SPEAKER_19
transcript.pyannote[1737].start 9062.02409375
transcript.pyannote[1737].end 9062.04096875
transcript.pyannote[1738].speaker SPEAKER_19
transcript.pyannote[1738].start 9062.05784375
transcript.pyannote[1738].end 9063.82971875
transcript.pyannote[1739].speaker SPEAKER_19
transcript.pyannote[1739].start 9064.21784375
transcript.pyannote[1739].end 9065.83784375
transcript.pyannote[1740].speaker SPEAKER_19
transcript.pyannote[1740].start 9066.10784375
transcript.pyannote[1740].end 9068.84159375
transcript.pyannote[1741].speaker SPEAKER_19
transcript.pyannote[1741].start 9069.49971875
transcript.pyannote[1741].end 9070.73159375
transcript.pyannote[1742].speaker SPEAKER_19
transcript.pyannote[1742].start 9070.95096875
transcript.pyannote[1742].end 9073.16159375
transcript.pyannote[1743].speaker SPEAKER_16
transcript.pyannote[1743].start 9073.76909375
transcript.pyannote[1743].end 9082.02096875
transcript.pyannote[1744].speaker SPEAKER_19
transcript.pyannote[1744].start 9082.13909375
transcript.pyannote[1744].end 9082.15596875
transcript.pyannote[1745].speaker SPEAKER_16
transcript.pyannote[1745].start 9082.15596875
transcript.pyannote[1745].end 9083.86034375
transcript.pyannote[1746].speaker SPEAKER_19
transcript.pyannote[1746].start 9082.84784375
transcript.pyannote[1746].end 9086.23971875
transcript.pyannote[1747].speaker SPEAKER_16
transcript.pyannote[1747].start 9085.19346875
transcript.pyannote[1747].end 9086.40846875
transcript.pyannote[1748].speaker SPEAKER_19
transcript.pyannote[1748].start 9086.40846875
transcript.pyannote[1748].end 9088.02846875
transcript.pyannote[1749].speaker SPEAKER_16
transcript.pyannote[1749].start 9088.02846875
transcript.pyannote[1749].end 9088.06221875
transcript.pyannote[1750].speaker SPEAKER_19
transcript.pyannote[1750].start 9088.06221875
transcript.pyannote[1750].end 9088.07909375
transcript.pyannote[1751].speaker SPEAKER_16
transcript.pyannote[1751].start 9088.07909375
transcript.pyannote[1751].end 9099.25034375
transcript.pyannote[1752].speaker SPEAKER_19
transcript.pyannote[1752].start 9088.14659375
transcript.pyannote[1752].end 9088.31534375
transcript.pyannote[1753].speaker SPEAKER_19
transcript.pyannote[1753].start 9088.65284375
transcript.pyannote[1753].end 9090.10409375
transcript.pyannote[1754].speaker SPEAKER_19
transcript.pyannote[1754].start 9096.97221875
transcript.pyannote[1754].end 9107.67096875
transcript.pyannote[1755].speaker SPEAKER_19
transcript.pyannote[1755].start 9108.05909375
transcript.pyannote[1755].end 9109.45971875
transcript.pyannote[1756].speaker SPEAKER_19
transcript.pyannote[1756].start 9110.60721875
transcript.pyannote[1756].end 9116.46284375
transcript.pyannote[1757].speaker SPEAKER_19
transcript.pyannote[1757].start 9116.90159375
transcript.pyannote[1757].end 9121.91346875
transcript.pyannote[1758].speaker SPEAKER_19
transcript.pyannote[1758].start 9122.06534375
transcript.pyannote[1758].end 9131.04284375
transcript.pyannote[1759].speaker SPEAKER_19
transcript.pyannote[1759].start 9131.58284375
transcript.pyannote[1759].end 9134.75534375
transcript.pyannote[1760].speaker SPEAKER_19
transcript.pyannote[1760].start 9135.00846875
transcript.pyannote[1760].end 9138.78846875
transcript.pyannote[1761].speaker SPEAKER_19
transcript.pyannote[1761].start 9140.13846875
transcript.pyannote[1761].end 9141.50534375
transcript.pyannote[1762].speaker SPEAKER_16
transcript.pyannote[1762].start 9140.17221875
transcript.pyannote[1762].end 9144.66096875
transcript.pyannote[1763].speaker SPEAKER_16
transcript.pyannote[1763].start 9145.43721875
transcript.pyannote[1763].end 9146.48346875
transcript.pyannote[1764].speaker SPEAKER_19
transcript.pyannote[1764].start 9145.63971875
transcript.pyannote[1764].end 9146.43284375
transcript.pyannote[1765].speaker SPEAKER_19
transcript.pyannote[1765].start 9146.48346875
transcript.pyannote[1765].end 9158.41409375
transcript.pyannote[1766].speaker SPEAKER_16
transcript.pyannote[1766].start 9148.52534375
transcript.pyannote[1766].end 9149.23409375
transcript.pyannote[1767].speaker SPEAKER_16
transcript.pyannote[1767].start 9156.89534375
transcript.pyannote[1767].end 9159.44346875
transcript.pyannote[1768].speaker SPEAKER_19
transcript.pyannote[1768].start 9158.81909375
transcript.pyannote[1768].end 9161.73846875
transcript.pyannote[1769].speaker SPEAKER_16
transcript.pyannote[1769].start 9161.33346875
transcript.pyannote[1769].end 9161.75534375
transcript.pyannote[1770].speaker SPEAKER_19
transcript.pyannote[1770].start 9161.75534375
transcript.pyannote[1770].end 9162.86909375
transcript.pyannote[1771].speaker SPEAKER_16
transcript.pyannote[1771].start 9162.86909375
transcript.pyannote[1771].end 9162.95346875
transcript.pyannote[1772].speaker SPEAKER_19
transcript.pyannote[1772].start 9162.95346875
transcript.pyannote[1772].end 9162.97034375
transcript.pyannote[1773].speaker SPEAKER_16
transcript.pyannote[1773].start 9162.97034375
transcript.pyannote[1773].end 9164.37096875
transcript.pyannote[1774].speaker SPEAKER_16
transcript.pyannote[1774].start 9164.52284375
transcript.pyannote[1774].end 9165.83909375
transcript.pyannote[1775].speaker SPEAKER_16
transcript.pyannote[1775].start 9165.99096875
transcript.pyannote[1775].end 9182.54534375
transcript.pyannote[1776].speaker SPEAKER_19
transcript.pyannote[1776].start 9180.92534375
transcript.pyannote[1776].end 9183.52409375
transcript.pyannote[1777].speaker SPEAKER_16
transcript.pyannote[1777].start 9183.11909375
transcript.pyannote[1777].end 9184.70534375
transcript.pyannote[1778].speaker SPEAKER_19
transcript.pyannote[1778].start 9184.41846875
transcript.pyannote[1778].end 9188.65409375
transcript.pyannote[1779].speaker SPEAKER_19
transcript.pyannote[1779].start 9189.24471875
transcript.pyannote[1779].end 9191.32034375
transcript.pyannote[1780].speaker SPEAKER_19
transcript.pyannote[1780].start 9191.57346875
transcript.pyannote[1780].end 9202.40721875
transcript.pyannote[1781].speaker SPEAKER_19
transcript.pyannote[1781].start 9202.62659375
transcript.pyannote[1781].end 9205.78221875
transcript.pyannote[1782].speaker SPEAKER_19
transcript.pyannote[1782].start 9206.47409375
transcript.pyannote[1782].end 9212.41409375
transcript.pyannote[1783].speaker SPEAKER_16
transcript.pyannote[1783].start 9212.93721875
transcript.pyannote[1783].end 9214.47284375
transcript.pyannote[1784].speaker SPEAKER_16
transcript.pyannote[1784].start 9214.74284375
transcript.pyannote[1784].end 9215.36721875
transcript.pyannote[1785].speaker SPEAKER_16
transcript.pyannote[1785].start 9215.72159375
transcript.pyannote[1785].end 9217.56096875
transcript.pyannote[1786].speaker SPEAKER_16
transcript.pyannote[1786].start 9219.97409375
transcript.pyannote[1786].end 9222.03284375
transcript.pyannote[1787].speaker SPEAKER_19
transcript.pyannote[1787].start 9221.64471875
transcript.pyannote[1787].end 9221.76284375
transcript.pyannote[1788].speaker SPEAKER_19
transcript.pyannote[1788].start 9222.03284375
transcript.pyannote[1788].end 9223.83846875
transcript.pyannote[1789].speaker SPEAKER_19
transcript.pyannote[1789].start 9224.20971875
transcript.pyannote[1789].end 9225.00284375
transcript.pyannote[1790].speaker SPEAKER_19
transcript.pyannote[1790].start 9225.34034375
transcript.pyannote[1790].end 9227.88846875
transcript.pyannote[1791].speaker SPEAKER_19
transcript.pyannote[1791].start 9228.14159375
transcript.pyannote[1791].end 9234.68909375
transcript.pyannote[1792].speaker SPEAKER_19
transcript.pyannote[1792].start 9235.02659375
transcript.pyannote[1792].end 9250.92284375
transcript.pyannote[1793].speaker SPEAKER_19
transcript.pyannote[1793].start 9251.47971875
transcript.pyannote[1793].end 9253.09971875
transcript.pyannote[1794].speaker SPEAKER_16
transcript.pyannote[1794].start 9253.08284375
transcript.pyannote[1794].end 9253.58909375
transcript.pyannote[1795].speaker SPEAKER_15
transcript.pyannote[1795].start 9253.09971875
transcript.pyannote[1795].end 9253.58909375
transcript.pyannote[1796].speaker SPEAKER_19
transcript.pyannote[1796].start 9253.58909375
transcript.pyannote[1796].end 9253.85909375
transcript.pyannote[1797].speaker SPEAKER_16
transcript.pyannote[1797].start 9253.82534375
transcript.pyannote[1797].end 9257.31846875
transcript.pyannote[1798].speaker SPEAKER_15
transcript.pyannote[1798].start 9253.85909375
transcript.pyannote[1798].end 9254.39909375
transcript.pyannote[1799].speaker SPEAKER_16
transcript.pyannote[1799].start 9257.52096875
transcript.pyannote[1799].end 9260.42346875
transcript.pyannote[1800].speaker SPEAKER_19
transcript.pyannote[1800].start 9260.42346875
transcript.pyannote[1800].end 9260.44034375
transcript.pyannote[1801].speaker SPEAKER_16
transcript.pyannote[1801].start 9261.46971875
transcript.pyannote[1801].end 9262.02659375
transcript.pyannote[1802].speaker SPEAKER_19
transcript.pyannote[1802].start 9262.02659375
transcript.pyannote[1802].end 9274.42971875
transcript.pyannote[1803].speaker SPEAKER_16
transcript.pyannote[1803].start 9269.78909375
transcript.pyannote[1803].end 9270.97034375
transcript.pyannote[1804].speaker SPEAKER_00
transcript.pyannote[1804].start 9270.97034375
transcript.pyannote[1804].end 9272.05034375
transcript.pyannote[1805].speaker SPEAKER_19
transcript.pyannote[1805].start 9274.51409375
transcript.pyannote[1805].end 9291.84471875
transcript.pyannote[1806].speaker SPEAKER_15
transcript.pyannote[1806].start 9275.03721875
transcript.pyannote[1806].end 9275.34096875
transcript.pyannote[1807].speaker SPEAKER_15
transcript.pyannote[1807].start 9282.29346875
transcript.pyannote[1807].end 9283.01909375
transcript.pyannote[1808].speaker SPEAKER_16
transcript.pyannote[1808].start 9286.27596875
transcript.pyannote[1808].end 9293.53221875
transcript.pyannote[1809].speaker SPEAKER_19
transcript.pyannote[1809].start 9292.53659375
transcript.pyannote[1809].end 9295.23659375
transcript.pyannote[1810].speaker SPEAKER_19
transcript.pyannote[1810].start 9295.52346875
transcript.pyannote[1810].end 9296.40096875
transcript.pyannote[1811].speaker SPEAKER_19
transcript.pyannote[1811].start 9297.22784375
transcript.pyannote[1811].end 9299.65784375
transcript.pyannote[1812].speaker SPEAKER_19
transcript.pyannote[1812].start 9299.92784375
transcript.pyannote[1812].end 9300.46784375
transcript.pyannote[1813].speaker SPEAKER_19
transcript.pyannote[1813].start 9301.32846875
transcript.pyannote[1813].end 9304.83846875
transcript.pyannote[1814].speaker SPEAKER_19
transcript.pyannote[1814].start 9305.24346875
transcript.pyannote[1814].end 9309.76596875
transcript.pyannote[1815].speaker SPEAKER_19
transcript.pyannote[1815].start 9309.93471875
transcript.pyannote[1815].end 9316.24596875
transcript.pyannote[1816].speaker SPEAKER_25
transcript.pyannote[1816].start 9316.76909375
transcript.pyannote[1816].end 9316.78596875
transcript.pyannote[1817].speaker SPEAKER_19
transcript.pyannote[1817].start 9316.78596875
transcript.pyannote[1817].end 9316.80284375
transcript.pyannote[1818].speaker SPEAKER_25
transcript.pyannote[1818].start 9316.80284375
transcript.pyannote[1818].end 9316.81971875
transcript.pyannote[1819].speaker SPEAKER_19
transcript.pyannote[1819].start 9316.81971875
transcript.pyannote[1819].end 9318.38909375
transcript.pyannote[1820].speaker SPEAKER_19
transcript.pyannote[1820].start 9319.45221875
transcript.pyannote[1820].end 9322.00034375
transcript.pyannote[1821].speaker SPEAKER_19
transcript.pyannote[1821].start 9322.69221875
transcript.pyannote[1821].end 9333.91409375
transcript.pyannote[1822].speaker SPEAKER_19
transcript.pyannote[1822].start 9334.60596875
transcript.pyannote[1822].end 9334.96034375
transcript.pyannote[1823].speaker SPEAKER_19
transcript.pyannote[1823].start 9335.17971875
transcript.pyannote[1823].end 9335.93909375
transcript.pyannote[1824].speaker SPEAKER_19
transcript.pyannote[1824].start 9336.44534375
transcript.pyannote[1824].end 9339.01034375
transcript.pyannote[1825].speaker SPEAKER_19
transcript.pyannote[1825].start 9339.87096875
transcript.pyannote[1825].end 9342.80721875
transcript.pyannote[1826].speaker SPEAKER_16
transcript.pyannote[1826].start 9341.44034375
transcript.pyannote[1826].end 9342.77346875
transcript.pyannote[1827].speaker SPEAKER_19
transcript.pyannote[1827].start 9344.14034375
transcript.pyannote[1827].end 9344.15721875
transcript.pyannote[1828].speaker SPEAKER_16
transcript.pyannote[1828].start 9344.15721875
transcript.pyannote[1828].end 9344.98409375
transcript.pyannote[1829].speaker SPEAKER_16
transcript.pyannote[1829].start 9346.43534375
transcript.pyannote[1829].end 9347.31284375
transcript.pyannote[1830].speaker SPEAKER_16
transcript.pyannote[1830].start 9347.59971875
transcript.pyannote[1830].end 9349.65846875
transcript.pyannote[1831].speaker SPEAKER_16
transcript.pyannote[1831].start 9349.97909375
transcript.pyannote[1831].end 9355.71659375
transcript.pyannote[1832].speaker SPEAKER_19
transcript.pyannote[1832].start 9352.93221875
transcript.pyannote[1832].end 9355.22721875
transcript.pyannote[1833].speaker SPEAKER_16
transcript.pyannote[1833].start 9355.96971875
transcript.pyannote[1833].end 9369.55409375
transcript.pyannote[1834].speaker SPEAKER_19
transcript.pyannote[1834].start 9358.68659375
transcript.pyannote[1834].end 9360.98159375
transcript.pyannote[1835].speaker SPEAKER_19
transcript.pyannote[1835].start 9361.80846875
transcript.pyannote[1835].end 9363.68159375
transcript.pyannote[1836].speaker SPEAKER_19
transcript.pyannote[1836].start 9368.47409375
transcript.pyannote[1836].end 9368.50784375
transcript.pyannote[1837].speaker SPEAKER_15
transcript.pyannote[1837].start 9368.50784375
transcript.pyannote[1837].end 9369.25034375
transcript.pyannote[1838].speaker SPEAKER_19
transcript.pyannote[1838].start 9369.25034375
transcript.pyannote[1838].end 9369.28409375
transcript.pyannote[1839].speaker SPEAKER_16
transcript.pyannote[1839].start 9369.72284375
transcript.pyannote[1839].end 9374.36346875
transcript.pyannote[1840].speaker SPEAKER_15
transcript.pyannote[1840].start 9369.87471875
transcript.pyannote[1840].end 9370.22909375
transcript.pyannote[1841].speaker SPEAKER_19
transcript.pyannote[1841].start 9370.22909375
transcript.pyannote[1841].end 9370.24596875
transcript.pyannote[1842].speaker SPEAKER_16
transcript.pyannote[1842].start 9375.19034375
transcript.pyannote[1842].end 9375.20721875
transcript.pyannote[1843].speaker SPEAKER_19
transcript.pyannote[1843].start 9375.20721875
transcript.pyannote[1843].end 9378.93659375
transcript.pyannote[1844].speaker SPEAKER_19
transcript.pyannote[1844].start 9379.25721875
transcript.pyannote[1844].end 9383.13846875
transcript.pyannote[1845].speaker SPEAKER_16
transcript.pyannote[1845].start 9382.83471875
transcript.pyannote[1845].end 9383.67846875
transcript.pyannote[1846].speaker SPEAKER_16
transcript.pyannote[1846].start 9383.93159375
transcript.pyannote[1846].end 9386.68221875
transcript.pyannote[1847].speaker SPEAKER_16
transcript.pyannote[1847].start 9386.83409375
transcript.pyannote[1847].end 9393.95534375
transcript.pyannote[1848].speaker SPEAKER_19
transcript.pyannote[1848].start 9387.37409375
transcript.pyannote[1848].end 9387.76221875
transcript.pyannote[1849].speaker SPEAKER_16
transcript.pyannote[1849].start 9394.14096875
transcript.pyannote[1849].end 9394.17471875
transcript.pyannote[1850].speaker SPEAKER_19
transcript.pyannote[1850].start 9394.17471875
transcript.pyannote[1850].end 9395.15346875
transcript.pyannote[1851].speaker SPEAKER_19
transcript.pyannote[1851].start 9395.49096875
transcript.pyannote[1851].end 9396.25034375
transcript.pyannote[1852].speaker SPEAKER_19
transcript.pyannote[1852].start 9396.79034375
transcript.pyannote[1852].end 9403.75971875
transcript.pyannote[1853].speaker SPEAKER_19
transcript.pyannote[1853].start 9403.81034375
transcript.pyannote[1853].end 9404.92409375
transcript.pyannote[1854].speaker SPEAKER_19
transcript.pyannote[1854].start 9405.31221875
transcript.pyannote[1854].end 9405.95346875
transcript.pyannote[1855].speaker SPEAKER_19
transcript.pyannote[1855].start 9406.78034375
transcript.pyannote[1855].end 9407.47221875
transcript.pyannote[1856].speaker SPEAKER_19
transcript.pyannote[1856].start 9407.55659375
transcript.pyannote[1856].end 9408.19784375
transcript.pyannote[1857].speaker SPEAKER_19
transcript.pyannote[1857].start 9408.23159375
transcript.pyannote[1857].end 9411.70784375
transcript.pyannote[1858].speaker SPEAKER_19
transcript.pyannote[1858].start 9412.31534375
transcript.pyannote[1858].end 9416.02784375
transcript.pyannote[1859].speaker SPEAKER_16
transcript.pyannote[1859].start 9417.32721875
transcript.pyannote[1859].end 9424.02659375
transcript.pyannote[1860].speaker SPEAKER_19
transcript.pyannote[1860].start 9424.02659375
transcript.pyannote[1860].end 9432.02534375
transcript.pyannote[1861].speaker SPEAKER_19
transcript.pyannote[1861].start 9432.04221875
transcript.pyannote[1861].end 9433.93221875
transcript.pyannote[1862].speaker SPEAKER_16
transcript.pyannote[1862].start 9434.52284375
transcript.pyannote[1862].end 9436.02471875
transcript.pyannote[1863].speaker SPEAKER_19
transcript.pyannote[1863].start 9436.02471875
transcript.pyannote[1863].end 9436.95284375
transcript.pyannote[1864].speaker SPEAKER_16
transcript.pyannote[1864].start 9436.95284375
transcript.pyannote[1864].end 9436.96971875
transcript.pyannote[1865].speaker SPEAKER_19
transcript.pyannote[1865].start 9437.27346875
transcript.pyannote[1865].end 9438.64034375
transcript.pyannote[1866].speaker SPEAKER_19
transcript.pyannote[1866].start 9438.99471875
transcript.pyannote[1866].end 9442.30221875
transcript.pyannote[1867].speaker SPEAKER_19
transcript.pyannote[1867].start 9442.31909375
transcript.pyannote[1867].end 9443.97284375
transcript.pyannote[1868].speaker SPEAKER_19
transcript.pyannote[1868].start 9444.59721875
transcript.pyannote[1868].end 9446.48721875
transcript.pyannote[1869].speaker SPEAKER_19
transcript.pyannote[1869].start 9446.52096875
transcript.pyannote[1869].end 9447.38159375
transcript.pyannote[1870].speaker SPEAKER_19
transcript.pyannote[1870].start 9448.15784375
transcript.pyannote[1870].end 9452.02221875
transcript.pyannote[1871].speaker SPEAKER_26
transcript.pyannote[1871].start 9452.07284375
transcript.pyannote[1871].end 9452.51159375
transcript.pyannote[1872].speaker SPEAKER_19
transcript.pyannote[1872].start 9452.59596875
transcript.pyannote[1872].end 9456.39284375
transcript.pyannote[1873].speaker SPEAKER_26
transcript.pyannote[1873].start 9453.89534375
transcript.pyannote[1873].end 9455.14409375
transcript.pyannote[1874].speaker SPEAKER_19
transcript.pyannote[1874].start 9456.73034375
transcript.pyannote[1874].end 9457.70909375
transcript.pyannote[1875].speaker SPEAKER_19
transcript.pyannote[1875].start 9458.29971875
transcript.pyannote[1875].end 9459.10971875
transcript.pyannote[1876].speaker SPEAKER_19
transcript.pyannote[1876].start 9459.43034375
transcript.pyannote[1876].end 9485.72159375
transcript.pyannote[1877].speaker SPEAKER_00
transcript.pyannote[1877].start 9464.67846875
transcript.pyannote[1877].end 9464.81346875
transcript.pyannote[1878].speaker SPEAKER_16
transcript.pyannote[1878].start 9464.81346875
transcript.pyannote[1878].end 9465.01596875
transcript.pyannote[1879].speaker SPEAKER_19
transcript.pyannote[1879].start 9486.76784375
transcript.pyannote[1879].end 9487.54409375
transcript.pyannote[1880].speaker SPEAKER_19
transcript.pyannote[1880].start 9489.09659375
transcript.pyannote[1880].end 9500.65596875
transcript.pyannote[1881].speaker SPEAKER_19
transcript.pyannote[1881].start 9500.97659375
transcript.pyannote[1881].end 9507.10221875
transcript.pyannote[1882].speaker SPEAKER_19
transcript.pyannote[1882].start 9507.67596875
transcript.pyannote[1882].end 9510.57846875
transcript.pyannote[1883].speaker SPEAKER_19
transcript.pyannote[1883].start 9511.08471875
transcript.pyannote[1883].end 9514.00409375
transcript.pyannote[1884].speaker SPEAKER_19
transcript.pyannote[1884].start 9514.35846875
transcript.pyannote[1884].end 9514.37534375
transcript.pyannote[1885].speaker SPEAKER_16
transcript.pyannote[1885].start 9514.37534375
transcript.pyannote[1885].end 9515.30346875
transcript.pyannote[1886].speaker SPEAKER_19
transcript.pyannote[1886].start 9514.39221875
transcript.pyannote[1886].end 9515.11784375
transcript.pyannote[1887].speaker SPEAKER_19
transcript.pyannote[1887].start 9515.30346875
transcript.pyannote[1887].end 9515.37096875
transcript.pyannote[1888].speaker SPEAKER_16
transcript.pyannote[1888].start 9515.37096875
transcript.pyannote[1888].end 9515.40471875
transcript.pyannote[1889].speaker SPEAKER_19
transcript.pyannote[1889].start 9515.40471875
transcript.pyannote[1889].end 9515.45534375
transcript.pyannote[1890].speaker SPEAKER_16
transcript.pyannote[1890].start 9515.45534375
transcript.pyannote[1890].end 9515.50596875
transcript.pyannote[1891].speaker SPEAKER_19
transcript.pyannote[1891].start 9515.50596875
transcript.pyannote[1891].end 9515.86034375
transcript.pyannote[1892].speaker SPEAKER_16
transcript.pyannote[1892].start 9515.86034375
transcript.pyannote[1892].end 9516.02909375
transcript.pyannote[1893].speaker SPEAKER_19
transcript.pyannote[1893].start 9516.02909375
transcript.pyannote[1893].end 9516.13034375
transcript.pyannote[1894].speaker SPEAKER_16
transcript.pyannote[1894].start 9516.13034375
transcript.pyannote[1894].end 9516.23159375
transcript.pyannote[1895].speaker SPEAKER_19
transcript.pyannote[1895].start 9516.23159375
transcript.pyannote[1895].end 9516.26534375
transcript.pyannote[1896].speaker SPEAKER_16
transcript.pyannote[1896].start 9516.26534375
transcript.pyannote[1896].end 9516.31596875
transcript.pyannote[1897].speaker SPEAKER_19
transcript.pyannote[1897].start 9516.31596875
transcript.pyannote[1897].end 9516.33284375
transcript.pyannote[1898].speaker SPEAKER_19
transcript.pyannote[1898].start 9516.92346875
transcript.pyannote[1898].end 9517.86846875
transcript.pyannote[1899].speaker SPEAKER_19
transcript.pyannote[1899].start 9518.32409375
transcript.pyannote[1899].end 9521.73284375
transcript.pyannote[1900].speaker SPEAKER_19
transcript.pyannote[1900].start 9521.93534375
transcript.pyannote[1900].end 9522.88034375
transcript.pyannote[1901].speaker SPEAKER_19
transcript.pyannote[1901].start 9524.17971875
transcript.pyannote[1901].end 9525.98534375
transcript.pyannote[1902].speaker SPEAKER_19
transcript.pyannote[1902].start 9526.33971875
transcript.pyannote[1902].end 9526.62659375
transcript.pyannote[1903].speaker SPEAKER_19
transcript.pyannote[1903].start 9527.33534375
transcript.pyannote[1903].end 9527.75721875
transcript.pyannote[1904].speaker SPEAKER_19
transcript.pyannote[1904].start 9528.33096875
transcript.pyannote[1904].end 9530.37284375
transcript.pyannote[1905].speaker SPEAKER_19
transcript.pyannote[1905].start 9531.08159375
transcript.pyannote[1905].end 9531.70596875
transcript.pyannote[1906].speaker SPEAKER_16
transcript.pyannote[1906].start 9532.92096875
transcript.pyannote[1906].end 9533.27534375
transcript.pyannote[1907].speaker SPEAKER_16
transcript.pyannote[1907].start 9533.62971875
transcript.pyannote[1907].end 9535.89096875
transcript.pyannote[1908].speaker SPEAKER_16
transcript.pyannote[1908].start 9536.32971875
transcript.pyannote[1908].end 9536.36346875
transcript.pyannote[1909].speaker SPEAKER_19
transcript.pyannote[1909].start 9536.36346875
transcript.pyannote[1909].end 9541.54409375
transcript.pyannote[1910].speaker SPEAKER_16
transcript.pyannote[1910].start 9537.24096875
transcript.pyannote[1910].end 9537.84846875
transcript.pyannote[1911].speaker SPEAKER_19
transcript.pyannote[1911].start 9541.66221875
transcript.pyannote[1911].end 9546.37034375
transcript.pyannote[1912].speaker SPEAKER_19
transcript.pyannote[1912].start 9547.45034375
transcript.pyannote[1912].end 9548.71596875
transcript.pyannote[1913].speaker SPEAKER_19
transcript.pyannote[1913].start 9548.95221875
transcript.pyannote[1913].end 9558.19971875
transcript.pyannote[1914].speaker SPEAKER_19
transcript.pyannote[1914].start 9558.80721875
transcript.pyannote[1914].end 9558.97596875
transcript.pyannote[1915].speaker SPEAKER_16
transcript.pyannote[1915].start 9558.97596875
transcript.pyannote[1915].end 9559.02659375
transcript.pyannote[1916].speaker SPEAKER_19
transcript.pyannote[1916].start 9559.02659375
transcript.pyannote[1916].end 9559.04346875
transcript.pyannote[1917].speaker SPEAKER_16
transcript.pyannote[1917].start 9559.04346875
transcript.pyannote[1917].end 9562.04721875
transcript.pyannote[1918].speaker SPEAKER_19
transcript.pyannote[1918].start 9559.33034375
transcript.pyannote[1918].end 9559.58346875
transcript.pyannote[1919].speaker SPEAKER_16
transcript.pyannote[1919].start 9562.08096875
transcript.pyannote[1919].end 9564.44346875
transcript.pyannote[1920].speaker SPEAKER_16
transcript.pyannote[1920].start 9564.83159375
transcript.pyannote[1920].end 9567.56534375
transcript.pyannote[1921].speaker SPEAKER_16
transcript.pyannote[1921].start 9567.73409375
transcript.pyannote[1921].end 9572.23971875
transcript.pyannote[1922].speaker SPEAKER_19
transcript.pyannote[1922].start 9570.34971875
transcript.pyannote[1922].end 9571.90221875
transcript.pyannote[1923].speaker SPEAKER_19
transcript.pyannote[1923].start 9572.23971875
transcript.pyannote[1923].end 9572.72909375
transcript.pyannote[1924].speaker SPEAKER_16
transcript.pyannote[1924].start 9572.72909375
transcript.pyannote[1924].end 9572.74596875
transcript.pyannote[1925].speaker SPEAKER_19
transcript.pyannote[1925].start 9572.74596875
transcript.pyannote[1925].end 9572.77971875
transcript.pyannote[1926].speaker SPEAKER_16
transcript.pyannote[1926].start 9572.77971875
transcript.pyannote[1926].end 9577.45409375
transcript.pyannote[1927].speaker SPEAKER_19
transcript.pyannote[1927].start 9573.11721875
transcript.pyannote[1927].end 9573.45471875
transcript.pyannote[1928].speaker SPEAKER_19
transcript.pyannote[1928].start 9576.84659375
transcript.pyannote[1928].end 9576.88034375
transcript.pyannote[1929].speaker SPEAKER_26
transcript.pyannote[1929].start 9576.88034375
transcript.pyannote[1929].end 9577.11659375
transcript.pyannote[1930].speaker SPEAKER_16
transcript.pyannote[1930].start 9578.36534375
transcript.pyannote[1930].end 9578.98971875
transcript.pyannote[1931].speaker SPEAKER_16
transcript.pyannote[1931].start 9579.42846875
transcript.pyannote[1931].end 9579.64784375
transcript.pyannote[1932].speaker SPEAKER_19
transcript.pyannote[1932].start 9579.64784375
transcript.pyannote[1932].end 9579.73221875
transcript.pyannote[1933].speaker SPEAKER_16
transcript.pyannote[1933].start 9579.73221875
transcript.pyannote[1933].end 9579.86721875
transcript.pyannote[1934].speaker SPEAKER_19
transcript.pyannote[1934].start 9579.86721875
transcript.pyannote[1934].end 9579.95159375
transcript.pyannote[1935].speaker SPEAKER_16
transcript.pyannote[1935].start 9579.95159375
transcript.pyannote[1935].end 9579.96846875
transcript.pyannote[1936].speaker SPEAKER_19
transcript.pyannote[1936].start 9579.96846875
transcript.pyannote[1936].end 9580.00221875
transcript.pyannote[1937].speaker SPEAKER_16
transcript.pyannote[1937].start 9580.22159375
transcript.pyannote[1937].end 9580.25534375
transcript.pyannote[1938].speaker SPEAKER_19
transcript.pyannote[1938].start 9580.25534375
transcript.pyannote[1938].end 9583.03971875
transcript.pyannote[1939].speaker SPEAKER_26
transcript.pyannote[1939].start 9583.03971875
transcript.pyannote[1939].end 9583.29284375
transcript.pyannote[1940].speaker SPEAKER_16
transcript.pyannote[1940].start 9583.66409375
transcript.pyannote[1940].end 9586.27971875
transcript.pyannote[1941].speaker SPEAKER_19
transcript.pyannote[1941].start 9586.78596875
transcript.pyannote[1941].end 9590.51534375
transcript.pyannote[1942].speaker SPEAKER_16
transcript.pyannote[1942].start 9590.95409375
transcript.pyannote[1942].end 9591.08909375
transcript.pyannote[1943].speaker SPEAKER_16
transcript.pyannote[1943].start 9591.34221875
transcript.pyannote[1943].end 9597.88971875
transcript.pyannote[1944].speaker SPEAKER_19
transcript.pyannote[1944].start 9594.56534375
transcript.pyannote[1944].end 9596.65784375
transcript.pyannote[1945].speaker SPEAKER_19
transcript.pyannote[1945].start 9596.87721875
transcript.pyannote[1945].end 9596.99534375
transcript.pyannote[1946].speaker SPEAKER_19
transcript.pyannote[1946].start 9597.88971875
transcript.pyannote[1946].end 9599.47596875
transcript.pyannote[1947].speaker SPEAKER_16
transcript.pyannote[1947].start 9599.47596875
transcript.pyannote[1947].end 9599.71221875
transcript.pyannote[1948].speaker SPEAKER_19
transcript.pyannote[1948].start 9599.71221875
transcript.pyannote[1948].end 9604.30221875
transcript.pyannote[1949].speaker SPEAKER_16
transcript.pyannote[1949].start 9599.72909375
transcript.pyannote[1949].end 9601.26471875
transcript.pyannote[1950].speaker SPEAKER_19
transcript.pyannote[1950].start 9605.02784375
transcript.pyannote[1950].end 9605.04471875
transcript.pyannote[1951].speaker SPEAKER_16
transcript.pyannote[1951].start 9605.04471875
transcript.pyannote[1951].end 9606.04034375
transcript.pyannote[1952].speaker SPEAKER_19
transcript.pyannote[1952].start 9605.56784375
transcript.pyannote[1952].end 9623.74221875
transcript.pyannote[1953].speaker SPEAKER_16
transcript.pyannote[1953].start 9614.14034375
transcript.pyannote[1953].end 9614.96721875
transcript.pyannote[1954].speaker SPEAKER_00
transcript.pyannote[1954].start 9614.96721875
transcript.pyannote[1954].end 9615.05159375
transcript.pyannote[1955].speaker SPEAKER_19
transcript.pyannote[1955].start 9624.18096875
transcript.pyannote[1955].end 9630.69471875
transcript.pyannote[1956].speaker SPEAKER_19
transcript.pyannote[1956].start 9630.96471875
transcript.pyannote[1956].end 9633.69846875
transcript.pyannote[1957].speaker SPEAKER_16
transcript.pyannote[1957].start 9633.90096875
transcript.pyannote[1957].end 9635.95971875
transcript.pyannote[1958].speaker SPEAKER_16
transcript.pyannote[1958].start 9636.29721875
transcript.pyannote[1958].end 9638.50784375
transcript.pyannote[1959].speaker SPEAKER_16
transcript.pyannote[1959].start 9638.92971875
transcript.pyannote[1959].end 9640.29659375
transcript.pyannote[1960].speaker SPEAKER_16
transcript.pyannote[1960].start 9640.68471875
transcript.pyannote[1960].end 9641.57909375
transcript.pyannote[1961].speaker SPEAKER_16
transcript.pyannote[1961].start 9641.68034375
transcript.pyannote[1961].end 9644.04284375
transcript.pyannote[1962].speaker SPEAKER_16
transcript.pyannote[1962].start 9644.34659375
transcript.pyannote[1962].end 9646.97909375
transcript.pyannote[1963].speaker SPEAKER_16
transcript.pyannote[1963].start 9647.40096875
transcript.pyannote[1963].end 9648.07596875
transcript.pyannote[1964].speaker SPEAKER_16
transcript.pyannote[1964].start 9649.12221875
transcript.pyannote[1964].end 9650.38784375
transcript.pyannote[1965].speaker SPEAKER_16
transcript.pyannote[1965].start 9650.62409375
transcript.pyannote[1965].end 9653.13846875
transcript.pyannote[1966].speaker SPEAKER_16
transcript.pyannote[1966].start 9653.27346875
transcript.pyannote[1966].end 9653.77971875
transcript.pyannote[1967].speaker SPEAKER_19
transcript.pyannote[1967].start 9653.77971875
transcript.pyannote[1967].end 9653.79659375
transcript.pyannote[1968].speaker SPEAKER_19
transcript.pyannote[1968].start 9655.16346875
transcript.pyannote[1968].end 9658.42034375
transcript.pyannote[1969].speaker SPEAKER_19
transcript.pyannote[1969].start 9658.77471875
transcript.pyannote[1969].end 9659.14596875
transcript.pyannote[1970].speaker SPEAKER_19
transcript.pyannote[1970].start 9659.73659375
transcript.pyannote[1970].end 9660.79971875
transcript.pyannote[1971].speaker SPEAKER_19
transcript.pyannote[1971].start 9661.91346875
transcript.pyannote[1971].end 9662.67284375
transcript.pyannote[1972].speaker SPEAKER_19
transcript.pyannote[1972].start 9663.66846875
transcript.pyannote[1972].end 9670.19909375
transcript.pyannote[1973].speaker SPEAKER_16
transcript.pyannote[1973].start 9665.03534375
transcript.pyannote[1973].end 9667.22909375
transcript.pyannote[1974].speaker SPEAKER_19
transcript.pyannote[1974].start 9670.62096875
transcript.pyannote[1974].end 9673.13534375
transcript.pyannote[1975].speaker SPEAKER_19
transcript.pyannote[1975].start 9673.59096875
transcript.pyannote[1975].end 9690.55034375
transcript.pyannote[1976].speaker SPEAKER_19
transcript.pyannote[1976].start 9690.98909375
transcript.pyannote[1976].end 9691.37721875
transcript.pyannote[1977].speaker SPEAKER_19
transcript.pyannote[1977].start 9691.96784375
transcript.pyannote[1977].end 9692.89596875
transcript.pyannote[1978].speaker SPEAKER_19
transcript.pyannote[1978].start 9694.60034375
transcript.pyannote[1978].end 9695.39346875
transcript.pyannote[1979].speaker SPEAKER_19
transcript.pyannote[1979].start 9696.42284375
transcript.pyannote[1979].end 9698.53221875
transcript.pyannote[1980].speaker SPEAKER_19
transcript.pyannote[1980].start 9699.24096875
transcript.pyannote[1980].end 9700.70909375
transcript.pyannote[1981].speaker SPEAKER_19
transcript.pyannote[1981].start 9701.18159375
transcript.pyannote[1981].end 9703.42596875
transcript.pyannote[1982].speaker SPEAKER_19
transcript.pyannote[1982].start 9704.77596875
transcript.pyannote[1982].end 9705.50159375
transcript.pyannote[1983].speaker SPEAKER_19
transcript.pyannote[1983].start 9706.07534375
transcript.pyannote[1983].end 9707.61096875
transcript.pyannote[1984].speaker SPEAKER_19
transcript.pyannote[1984].start 9708.30284375
transcript.pyannote[1984].end 9709.78784375
transcript.pyannote[1985].speaker SPEAKER_19
transcript.pyannote[1985].start 9710.24346875
transcript.pyannote[1985].end 9711.25596875
transcript.pyannote[1986].speaker SPEAKER_19
transcript.pyannote[1986].start 9712.79159375
transcript.pyannote[1986].end 9713.11221875
transcript.pyannote[1987].speaker SPEAKER_19
transcript.pyannote[1987].start 9717.82034375
transcript.pyannote[1987].end 9720.57096875
transcript.pyannote[1988].speaker SPEAKER_19
transcript.pyannote[1988].start 9721.26284375
transcript.pyannote[1988].end 9723.69284375
transcript.pyannote[1989].speaker SPEAKER_19
transcript.pyannote[1989].start 9724.19909375
transcript.pyannote[1989].end 9726.89909375
transcript.pyannote[1990].speaker SPEAKER_19
transcript.pyannote[1990].start 9728.21534375
transcript.pyannote[1990].end 9728.68784375
transcript.pyannote[1991].speaker SPEAKER_19
transcript.pyannote[1991].start 9729.04221875
transcript.pyannote[1991].end 9730.25721875
transcript.pyannote[1992].speaker SPEAKER_19
transcript.pyannote[1992].start 9730.78034375
transcript.pyannote[1992].end 9731.50596875
transcript.pyannote[1993].speaker SPEAKER_19
transcript.pyannote[1993].start 9731.92784375
transcript.pyannote[1993].end 9734.91471875
transcript.pyannote[1994].speaker SPEAKER_16
transcript.pyannote[1994].start 9736.07909375
transcript.pyannote[1994].end 9739.40346875
transcript.pyannote[1995].speaker SPEAKER_16
transcript.pyannote[1995].start 9739.65659375
transcript.pyannote[1995].end 9741.27659375
transcript.pyannote[1996].speaker SPEAKER_16
transcript.pyannote[1996].start 9741.39471875
transcript.pyannote[1996].end 9742.23846875
transcript.pyannote[1997].speaker SPEAKER_16
transcript.pyannote[1997].start 9742.87971875
transcript.pyannote[1997].end 9746.86221875
transcript.pyannote[1998].speaker SPEAKER_19
transcript.pyannote[1998].start 9742.99784375
transcript.pyannote[1998].end 9743.75721875
transcript.pyannote[1999].speaker SPEAKER_16
transcript.pyannote[1999].start 9747.04784375
transcript.pyannote[1999].end 9748.68471875
transcript.pyannote[2000].speaker SPEAKER_19
transcript.pyannote[2000].start 9748.68471875
transcript.pyannote[2000].end 9754.01721875
transcript.pyannote[2001].speaker SPEAKER_19
transcript.pyannote[2001].start 9754.45596875
transcript.pyannote[2001].end 9755.83971875
transcript.pyannote[2002].speaker SPEAKER_19
transcript.pyannote[2002].start 9755.99159375
transcript.pyannote[2002].end 9756.02534375
transcript.pyannote[2003].speaker SPEAKER_19
transcript.pyannote[2003].start 9756.04221875
transcript.pyannote[2003].end 9766.94346875
transcript.pyannote[2004].speaker SPEAKER_16
transcript.pyannote[2004].start 9767.95596875
transcript.pyannote[2004].end 9777.89534375
transcript.pyannote[2005].speaker SPEAKER_19
transcript.pyannote[2005].start 9771.01034375
transcript.pyannote[2005].end 9771.09471875
transcript.pyannote[2006].speaker SPEAKER_19
transcript.pyannote[2006].start 9774.72284375
transcript.pyannote[2006].end 9775.44846875
transcript.pyannote[2007].speaker SPEAKER_19
transcript.pyannote[2007].start 9775.71846875
transcript.pyannote[2007].end 9776.96721875
transcript.pyannote[2008].speaker SPEAKER_19
transcript.pyannote[2008].start 9777.16971875
transcript.pyannote[2008].end 9782.80596875
transcript.pyannote[2009].speaker SPEAKER_19
transcript.pyannote[2009].start 9783.31221875
transcript.pyannote[2009].end 9802.97159375
transcript.pyannote[2010].speaker SPEAKER_00
transcript.pyannote[2010].start 9786.06284375
transcript.pyannote[2010].end 9786.07971875
transcript.pyannote[2011].speaker SPEAKER_26
transcript.pyannote[2011].start 9786.07971875
transcript.pyannote[2011].end 9786.11346875
transcript.pyannote[2012].speaker SPEAKER_15
transcript.pyannote[2012].start 9786.11346875
transcript.pyannote[2012].end 9786.16409375
transcript.pyannote[2013].speaker SPEAKER_26
transcript.pyannote[2013].start 9786.16409375
transcript.pyannote[2013].end 9786.85596875
transcript.pyannote[2014].speaker SPEAKER_15
transcript.pyannote[2014].start 9786.85596875
transcript.pyannote[2014].end 9788.49284375
transcript.pyannote[2015].speaker SPEAKER_00
transcript.pyannote[2015].start 9790.88909375
transcript.pyannote[2015].end 9794.46659375
transcript.pyannote[2016].speaker SPEAKER_15
transcript.pyannote[2016].start 9794.46659375
transcript.pyannote[2016].end 9794.82096875
transcript.pyannote[2017].speaker SPEAKER_00
transcript.pyannote[2017].start 9794.82096875
transcript.pyannote[2017].end 9794.90534375
transcript.pyannote[2018].speaker SPEAKER_00
transcript.pyannote[2018].start 9797.40284375
transcript.pyannote[2018].end 9797.47034375
transcript.pyannote[2019].speaker SPEAKER_25
transcript.pyannote[2019].start 9797.47034375
transcript.pyannote[2019].end 9797.68971875
transcript.pyannote[2020].speaker SPEAKER_00
transcript.pyannote[2020].start 9797.68971875
transcript.pyannote[2020].end 9797.90909375
transcript.pyannote[2021].speaker SPEAKER_16
transcript.pyannote[2021].start 9802.97159375
transcript.pyannote[2021].end 9808.86096875
transcript.pyannote[2022].speaker SPEAKER_16
transcript.pyannote[2022].start 9809.40096875
transcript.pyannote[2022].end 9809.41784375
transcript.pyannote[2023].speaker SPEAKER_19
transcript.pyannote[2023].start 9809.41784375
transcript.pyannote[2023].end 9810.86909375
transcript.pyannote[2024].speaker SPEAKER_19
transcript.pyannote[2024].start 9811.12221875
transcript.pyannote[2024].end 9813.07971875
transcript.pyannote[2025].speaker SPEAKER_19
transcript.pyannote[2025].start 9813.78846875
transcript.pyannote[2025].end 9816.38721875
transcript.pyannote[2026].speaker SPEAKER_19
transcript.pyannote[2026].start 9817.73721875
transcript.pyannote[2026].end 9818.58096875
transcript.pyannote[2027].speaker SPEAKER_16
transcript.pyannote[2027].start 9818.58096875
transcript.pyannote[2027].end 9818.64846875
transcript.pyannote[2028].speaker SPEAKER_19
transcript.pyannote[2028].start 9818.64846875
transcript.pyannote[2028].end 9818.96909375
transcript.pyannote[2029].speaker SPEAKER_16
transcript.pyannote[2029].start 9818.96909375
transcript.pyannote[2029].end 9822.32721875
transcript.pyannote[2030].speaker SPEAKER_19
transcript.pyannote[2030].start 9820.23471875
transcript.pyannote[2030].end 9822.46221875
transcript.pyannote[2031].speaker SPEAKER_19
transcript.pyannote[2031].start 9823.20471875
transcript.pyannote[2031].end 9829.06034375
transcript.pyannote[2032].speaker SPEAKER_19
transcript.pyannote[2032].start 9829.51596875
transcript.pyannote[2032].end 9830.19096875
transcript.pyannote[2033].speaker SPEAKER_19
transcript.pyannote[2033].start 9830.47784375
transcript.pyannote[2033].end 9832.24971875
transcript.pyannote[2034].speaker SPEAKER_19
transcript.pyannote[2034].start 9833.41409375
transcript.pyannote[2034].end 9834.32534375
transcript.pyannote[2035].speaker SPEAKER_16
transcript.pyannote[2035].start 9834.57846875
transcript.pyannote[2035].end 9835.94534375
transcript.pyannote[2036].speaker SPEAKER_16
transcript.pyannote[2036].start 9836.24909375
transcript.pyannote[2036].end 9838.45971875
transcript.pyannote[2037].speaker SPEAKER_19
transcript.pyannote[2037].start 9836.33346875
transcript.pyannote[2037].end 9836.56971875
transcript.pyannote[2038].speaker SPEAKER_19
transcript.pyannote[2038].start 9838.45971875
transcript.pyannote[2038].end 9838.86471875
transcript.pyannote[2039].speaker SPEAKER_19
transcript.pyannote[2039].start 9841.14284375
transcript.pyannote[2039].end 9842.94846875
transcript.pyannote[2040].speaker SPEAKER_19
transcript.pyannote[2040].start 9843.38721875
transcript.pyannote[2040].end 9844.63596875
transcript.pyannote[2041].speaker SPEAKER_19
transcript.pyannote[2041].start 9845.39534375
transcript.pyannote[2041].end 9850.00221875
transcript.pyannote[2042].speaker SPEAKER_16
transcript.pyannote[2042].start 9845.49659375
transcript.pyannote[2042].end 9847.77471875
transcript.pyannote[2043].speaker SPEAKER_16
transcript.pyannote[2043].start 9848.34846875
transcript.pyannote[2043].end 9853.69784375
transcript.pyannote[2044].speaker SPEAKER_19
transcript.pyannote[2044].start 9852.80346875
transcript.pyannote[2044].end 9857.35971875
transcript.pyannote[2045].speaker SPEAKER_19
transcript.pyannote[2045].start 9857.91659375
transcript.pyannote[2045].end 9865.67909375
transcript.pyannote[2046].speaker SPEAKER_16
transcript.pyannote[2046].start 9864.66659375
transcript.pyannote[2046].end 9865.02096875
transcript.pyannote[2047].speaker SPEAKER_16
transcript.pyannote[2047].start 9865.67909375
transcript.pyannote[2047].end 9869.03721875
transcript.pyannote[2048].speaker SPEAKER_16
transcript.pyannote[2048].start 9869.49284375
transcript.pyannote[2048].end 9874.92659375
transcript.pyannote[2049].speaker SPEAKER_19
transcript.pyannote[2049].start 9873.79596875
transcript.pyannote[2049].end 9876.39471875
transcript.pyannote[2050].speaker SPEAKER_19
transcript.pyannote[2050].start 9876.58034375
transcript.pyannote[2050].end 9880.24221875
transcript.pyannote[2051].speaker SPEAKER_16
transcript.pyannote[2051].start 9880.32659375
transcript.pyannote[2051].end 9886.73909375
transcript.pyannote[2052].speaker SPEAKER_19
transcript.pyannote[2052].start 9881.87909375
transcript.pyannote[2052].end 9883.70159375
transcript.pyannote[2053].speaker SPEAKER_19
transcript.pyannote[2053].start 9885.84471875
transcript.pyannote[2053].end 9887.93721875
transcript.pyannote[2054].speaker SPEAKER_19
transcript.pyannote[2054].start 9888.46034375
transcript.pyannote[2054].end 9892.07159375
transcript.pyannote[2055].speaker SPEAKER_19
transcript.pyannote[2055].start 9892.86471875
transcript.pyannote[2055].end 9894.72096875
transcript.pyannote[2056].speaker SPEAKER_19
transcript.pyannote[2056].start 9895.21034375
transcript.pyannote[2056].end 9900.74534375
transcript.pyannote[2057].speaker SPEAKER_19
transcript.pyannote[2057].start 9901.15034375
transcript.pyannote[2057].end 9905.80784375
transcript.pyannote[2058].speaker SPEAKER_19
transcript.pyannote[2058].start 9907.39409375
transcript.pyannote[2058].end 9912.01784375
transcript.pyannote[2059].speaker SPEAKER_19
transcript.pyannote[2059].start 9913.36784375
transcript.pyannote[2059].end 9917.89034375
transcript.pyannote[2060].speaker SPEAKER_25
transcript.pyannote[2060].start 9913.43534375
transcript.pyannote[2060].end 9913.53659375
transcript.pyannote[2061].speaker SPEAKER_19
transcript.pyannote[2061].start 9918.86909375
transcript.pyannote[2061].end 9920.60721875
transcript.pyannote[2062].speaker SPEAKER_19
transcript.pyannote[2062].start 9921.11346875
transcript.pyannote[2062].end 9950.69534375
transcript.pyannote[2063].speaker SPEAKER_34
transcript.pyannote[2063].start 9944.23221875
transcript.pyannote[2063].end 9945.07596875
transcript.pyannote[2064].speaker SPEAKER_16
transcript.pyannote[2064].start 9950.76284375
transcript.pyannote[2064].end 9957.24284375
transcript.pyannote[2065].speaker SPEAKER_19
transcript.pyannote[2065].start 9953.63159375
transcript.pyannote[2065].end 9954.79596875
transcript.pyannote[2066].speaker SPEAKER_19
transcript.pyannote[2066].start 9956.63534375
transcript.pyannote[2066].end 9957.00659375
transcript.pyannote[2067].speaker SPEAKER_19
transcript.pyannote[2067].start 9957.24284375
transcript.pyannote[2067].end 9957.96846875
transcript.pyannote[2068].speaker SPEAKER_16
transcript.pyannote[2068].start 9957.96846875
transcript.pyannote[2068].end 9959.67284375
transcript.pyannote[2069].speaker SPEAKER_16
transcript.pyannote[2069].start 9959.77409375
transcript.pyannote[2069].end 9962.03534375
transcript.pyannote[2070].speaker SPEAKER_19
transcript.pyannote[2070].start 9959.94284375
transcript.pyannote[2070].end 9960.65159375
transcript.pyannote[2071].speaker SPEAKER_19
transcript.pyannote[2071].start 9962.03534375
transcript.pyannote[2071].end 9962.35596875
transcript.pyannote[2072].speaker SPEAKER_16
transcript.pyannote[2072].start 9962.35596875
transcript.pyannote[2072].end 9962.49096875
transcript.pyannote[2073].speaker SPEAKER_19
transcript.pyannote[2073].start 9962.49096875
transcript.pyannote[2073].end 9962.55846875
transcript.pyannote[2074].speaker SPEAKER_16
transcript.pyannote[2074].start 9962.55846875
transcript.pyannote[2074].end 9963.03096875
transcript.pyannote[2075].speaker SPEAKER_19
transcript.pyannote[2075].start 9963.03096875
transcript.pyannote[2075].end 9964.24596875
transcript.pyannote[2076].speaker SPEAKER_16
transcript.pyannote[2076].start 9964.24596875
transcript.pyannote[2076].end 9964.31346875
transcript.pyannote[2077].speaker SPEAKER_16
transcript.pyannote[2077].start 9964.43159375
transcript.pyannote[2077].end 9964.46534375
transcript.pyannote[2078].speaker SPEAKER_19
transcript.pyannote[2078].start 9964.46534375
transcript.pyannote[2078].end 9964.81971875
transcript.pyannote[2079].speaker SPEAKER_16
transcript.pyannote[2079].start 9964.81971875
transcript.pyannote[2079].end 9964.83659375
transcript.pyannote[2080].speaker SPEAKER_19
transcript.pyannote[2080].start 9964.83659375
transcript.pyannote[2080].end 9964.85346875
transcript.pyannote[2081].speaker SPEAKER_19
transcript.pyannote[2081].start 9964.97159375
transcript.pyannote[2081].end 9965.42721875
transcript.pyannote[2082].speaker SPEAKER_19
transcript.pyannote[2082].start 9965.69721875
transcript.pyannote[2082].end 9966.25409375
transcript.pyannote[2083].speaker SPEAKER_19
transcript.pyannote[2083].start 9966.55784375
transcript.pyannote[2083].end 9967.75596875
transcript.pyannote[2084].speaker SPEAKER_19
transcript.pyannote[2084].start 9967.82346875
transcript.pyannote[2084].end 9967.85721875
transcript.pyannote[2085].speaker SPEAKER_26
transcript.pyannote[2085].start 9967.85721875
transcript.pyannote[2085].end 9967.99221875
transcript.pyannote[2086].speaker SPEAKER_19
transcript.pyannote[2086].start 9968.31284375
transcript.pyannote[2086].end 9969.07221875
transcript.pyannote[2087].speaker SPEAKER_19
transcript.pyannote[2087].start 9969.40971875
transcript.pyannote[2087].end 9969.91596875
transcript.pyannote[2088].speaker SPEAKER_19
transcript.pyannote[2088].start 9969.96659375
transcript.pyannote[2088].end 9969.98346875
transcript.pyannote[2089].speaker SPEAKER_19
transcript.pyannote[2089].start 9970.45596875
transcript.pyannote[2089].end 9979.02846875
transcript.pyannote[2090].speaker SPEAKER_16
transcript.pyannote[2090].start 9970.70909375
transcript.pyannote[2090].end 9974.25284375
transcript.pyannote[2091].speaker SPEAKER_16
transcript.pyannote[2091].start 9977.64471875
transcript.pyannote[2091].end 9978.10034375
transcript.pyannote[2092].speaker SPEAKER_16
transcript.pyannote[2092].start 9979.21409375
transcript.pyannote[2092].end 9979.23096875
transcript.pyannote[2093].speaker SPEAKER_19
transcript.pyannote[2093].start 9979.23096875
transcript.pyannote[2093].end 9979.90596875
transcript.pyannote[2094].speaker SPEAKER_16
transcript.pyannote[2094].start 9979.90596875
transcript.pyannote[2094].end 9980.02409375
transcript.pyannote[2095].speaker SPEAKER_19
transcript.pyannote[2095].start 9980.02409375
transcript.pyannote[2095].end 9982.55534375
transcript.pyannote[2096].speaker SPEAKER_16
transcript.pyannote[2096].start 9981.08721875
transcript.pyannote[2096].end 9981.32346875
transcript.pyannote[2097].speaker SPEAKER_19
transcript.pyannote[2097].start 9982.74096875
transcript.pyannote[2097].end 9983.51721875
transcript.pyannote[2098].speaker SPEAKER_19
transcript.pyannote[2098].start 9984.25971875
transcript.pyannote[2098].end 9984.66471875
transcript.pyannote[2099].speaker SPEAKER_19
transcript.pyannote[2099].start 9985.87971875
transcript.pyannote[2099].end 9988.59659375
transcript.pyannote[2100].speaker SPEAKER_19
transcript.pyannote[2100].start 9989.55846875
transcript.pyannote[2100].end 9991.09409375
transcript.pyannote[2101].speaker SPEAKER_19
transcript.pyannote[2101].start 9992.07284375
transcript.pyannote[2101].end 9993.52409375
transcript.pyannote[2102].speaker SPEAKER_19
transcript.pyannote[2102].start 9993.94596875
transcript.pyannote[2102].end 9995.14409375
transcript.pyannote[2103].speaker SPEAKER_19
transcript.pyannote[2103].start 9995.88659375
transcript.pyannote[2103].end 9998.65409375
transcript.pyannote[2104].speaker SPEAKER_19
transcript.pyannote[2104].start 9998.95784375
transcript.pyannote[2104].end 10001.33721875
transcript.pyannote[2105].speaker SPEAKER_19
transcript.pyannote[2105].start 10001.60721875
transcript.pyannote[2105].end 10008.01971875
transcript.pyannote[2106].speaker SPEAKER_19
transcript.pyannote[2106].start 10008.42471875
transcript.pyannote[2106].end 10016.27159375
transcript.pyannote[2107].speaker SPEAKER_19
transcript.pyannote[2107].start 10016.74409375
transcript.pyannote[2107].end 10018.75221875
transcript.pyannote[2108].speaker SPEAKER_19
transcript.pyannote[2108].start 10019.17409375
transcript.pyannote[2108].end 10020.62534375
transcript.pyannote[2109].speaker SPEAKER_19
transcript.pyannote[2109].start 10020.76034375
transcript.pyannote[2109].end 10033.80471875
transcript.pyannote[2110].speaker SPEAKER_16
transcript.pyannote[2110].start 10034.26034375
transcript.pyannote[2110].end 10039.08659375
transcript.pyannote[2111].speaker SPEAKER_19
transcript.pyannote[2111].start 10037.28096875
transcript.pyannote[2111].end 10037.70284375
transcript.pyannote[2112].speaker SPEAKER_16
transcript.pyannote[2112].start 10039.50846875
transcript.pyannote[2112].end 10042.86659375
transcript.pyannote[2113].speaker SPEAKER_31
transcript.pyannote[2113].start 10040.89221875
transcript.pyannote[2113].end 10040.92596875
transcript.pyannote[2114].speaker SPEAKER_13
transcript.pyannote[2114].start 10040.92596875
transcript.pyannote[2114].end 10041.02721875
transcript.pyannote[2115].speaker SPEAKER_31
transcript.pyannote[2115].start 10041.02721875
transcript.pyannote[2115].end 10041.76971875
transcript.pyannote[2116].speaker SPEAKER_13
transcript.pyannote[2116].start 10041.76971875
transcript.pyannote[2116].end 10041.82034375
transcript.pyannote[2117].speaker SPEAKER_01
transcript.pyannote[2117].start 10041.82034375
transcript.pyannote[2117].end 10041.83721875
transcript.pyannote[2118].speaker SPEAKER_15
transcript.pyannote[2118].start 10061.76659375
transcript.pyannote[2118].end 10064.06159375
transcript.pyannote[2119].speaker SPEAKER_15
transcript.pyannote[2119].start 10065.68159375
transcript.pyannote[2119].end 10066.03596875
transcript.pyannote[2120].speaker SPEAKER_07
transcript.pyannote[2120].start 10070.03534375
transcript.pyannote[2120].end 10072.98846875
transcript.pyannote[2121].speaker SPEAKER_07
transcript.pyannote[2121].start 10075.73909375
transcript.pyannote[2121].end 10081.72971875
transcript.pyannote[2122].speaker SPEAKER_09
transcript.pyannote[2122].start 10098.18284375
transcript.pyannote[2122].end 10100.52846875
transcript.pyannote[2123].speaker SPEAKER_07
transcript.pyannote[2123].start 10100.84909375
transcript.pyannote[2123].end 10102.30034375
transcript.pyannote[2124].speaker SPEAKER_09
transcript.pyannote[2124].start 10112.30721875
transcript.pyannote[2124].end 10114.09596875
transcript.pyannote[2125].speaker SPEAKER_16
transcript.pyannote[2125].start 10114.58534375
transcript.pyannote[2125].end 10115.85096875
transcript.pyannote[2126].speaker SPEAKER_09
transcript.pyannote[2126].start 10115.05784375
transcript.pyannote[2126].end 10116.91409375
transcript.pyannote[2127].speaker SPEAKER_09
transcript.pyannote[2127].start 10117.38659375
transcript.pyannote[2127].end 10118.33159375
transcript.pyannote[2128].speaker SPEAKER_09
transcript.pyannote[2128].start 10119.05721875
transcript.pyannote[2128].end 10119.51284375
transcript.pyannote[2129].speaker SPEAKER_16
transcript.pyannote[2129].start 10119.14159375
transcript.pyannote[2129].end 10122.39846875
transcript.pyannote[2130].speaker SPEAKER_09
transcript.pyannote[2130].start 10122.19596875
transcript.pyannote[2130].end 10122.70221875
transcript.pyannote[2131].speaker SPEAKER_09
transcript.pyannote[2131].start 10123.19159375
transcript.pyannote[2131].end 10128.55784375
transcript.pyannote[2132].speaker SPEAKER_09
transcript.pyannote[2132].start 10128.79409375
transcript.pyannote[2132].end 10132.64159375
transcript.pyannote[2133].speaker SPEAKER_09
transcript.pyannote[2133].start 10133.09721875
transcript.pyannote[2133].end 10134.70034375
transcript.pyannote[2134].speaker SPEAKER_09
transcript.pyannote[2134].start 10135.22346875
transcript.pyannote[2134].end 10136.94471875
transcript.pyannote[2135].speaker SPEAKER_09
transcript.pyannote[2135].start 10138.93596875
transcript.pyannote[2135].end 10139.66159375
transcript.pyannote[2136].speaker SPEAKER_09
transcript.pyannote[2136].start 10140.82596875
transcript.pyannote[2136].end 10142.73284375
transcript.pyannote[2137].speaker SPEAKER_09
transcript.pyannote[2137].start 10142.93534375
transcript.pyannote[2137].end 10143.62721875
transcript.pyannote[2138].speaker SPEAKER_09
transcript.pyannote[2138].start 10144.15034375
transcript.pyannote[2138].end 10146.07409375
transcript.pyannote[2139].speaker SPEAKER_09
transcript.pyannote[2139].start 10146.47909375
transcript.pyannote[2139].end 10148.18346875
transcript.pyannote[2140].speaker SPEAKER_09
transcript.pyannote[2140].start 10149.80346875
transcript.pyannote[2140].end 10150.61346875
transcript.pyannote[2141].speaker SPEAKER_09
transcript.pyannote[2141].start 10150.96784375
transcript.pyannote[2141].end 10151.52471875
transcript.pyannote[2142].speaker SPEAKER_09
transcript.pyannote[2142].start 10151.96346875
transcript.pyannote[2142].end 10155.32159375
transcript.pyannote[2143].speaker SPEAKER_09
transcript.pyannote[2143].start 10156.77284375
transcript.pyannote[2143].end 10157.21159375
transcript.pyannote[2144].speaker SPEAKER_09
transcript.pyannote[2144].start 10157.92034375
transcript.pyannote[2144].end 10162.03784375
transcript.pyannote[2145].speaker SPEAKER_09
transcript.pyannote[2145].start 10162.15596875
transcript.pyannote[2145].end 10164.67034375
transcript.pyannote[2146].speaker SPEAKER_09
transcript.pyannote[2146].start 10165.27784375
transcript.pyannote[2146].end 10167.55596875
transcript.pyannote[2147].speaker SPEAKER_09
transcript.pyannote[2147].start 10167.92721875
transcript.pyannote[2147].end 10170.47534375
transcript.pyannote[2148].speaker SPEAKER_09
transcript.pyannote[2148].start 10171.25159375
transcript.pyannote[2148].end 10173.32721875
transcript.pyannote[2149].speaker SPEAKER_09
transcript.pyannote[2149].start 10173.39471875
transcript.pyannote[2149].end 10175.99346875
transcript.pyannote[2150].speaker SPEAKER_09
transcript.pyannote[2150].start 10176.34784375
transcript.pyannote[2150].end 10177.05659375
transcript.pyannote[2151].speaker SPEAKER_09
transcript.pyannote[2151].start 10177.64721875
transcript.pyannote[2151].end 10183.33409375
transcript.pyannote[2152].speaker SPEAKER_00
transcript.pyannote[2152].start 10182.86159375
transcript.pyannote[2152].end 10182.94596875
transcript.pyannote[2153].speaker SPEAKER_09
transcript.pyannote[2153].start 10183.95846875
transcript.pyannote[2153].end 10189.08846875
transcript.pyannote[2154].speaker SPEAKER_09
transcript.pyannote[2154].start 10189.76346875
transcript.pyannote[2154].end 10193.30721875
transcript.pyannote[2155].speaker SPEAKER_09
transcript.pyannote[2155].start 10193.57721875
transcript.pyannote[2155].end 10194.60659375
transcript.pyannote[2156].speaker SPEAKER_09
transcript.pyannote[2156].start 10195.14659375
transcript.pyannote[2156].end 10197.05346875
transcript.pyannote[2157].speaker SPEAKER_09
transcript.pyannote[2157].start 10197.49221875
transcript.pyannote[2157].end 10199.88846875
transcript.pyannote[2158].speaker SPEAKER_09
transcript.pyannote[2158].start 10200.47909375
transcript.pyannote[2158].end 10202.53784375
transcript.pyannote[2159].speaker SPEAKER_09
transcript.pyannote[2159].start 10203.11159375
transcript.pyannote[2159].end 10205.06909375
transcript.pyannote[2160].speaker SPEAKER_09
transcript.pyannote[2160].start 10205.18721875
transcript.pyannote[2160].end 10206.08159375
transcript.pyannote[2161].speaker SPEAKER_09
transcript.pyannote[2161].start 10206.55409375
transcript.pyannote[2161].end 10209.08534375
transcript.pyannote[2162].speaker SPEAKER_09
transcript.pyannote[2162].start 10209.40596875
transcript.pyannote[2162].end 10210.41846875
transcript.pyannote[2163].speaker SPEAKER_09
transcript.pyannote[2163].start 10210.90784375
transcript.pyannote[2163].end 10212.57846875
transcript.pyannote[2164].speaker SPEAKER_09
transcript.pyannote[2164].start 10212.93284375
transcript.pyannote[2164].end 10214.29971875
transcript.pyannote[2165].speaker SPEAKER_09
transcript.pyannote[2165].start 10214.70471875
transcript.pyannote[2165].end 10215.56534375
transcript.pyannote[2166].speaker SPEAKER_09
transcript.pyannote[2166].start 10216.08846875
transcript.pyannote[2166].end 10216.67909375
transcript.pyannote[2167].speaker SPEAKER_09
transcript.pyannote[2167].start 10217.06721875
transcript.pyannote[2167].end 10218.97409375
transcript.pyannote[2168].speaker SPEAKER_09
transcript.pyannote[2168].start 10219.21034375
transcript.pyannote[2168].end 10220.13846875
transcript.pyannote[2169].speaker SPEAKER_09
transcript.pyannote[2169].start 10220.61096875
transcript.pyannote[2169].end 10221.20159375
transcript.pyannote[2170].speaker SPEAKER_09
transcript.pyannote[2170].start 10221.37034375
transcript.pyannote[2170].end 10224.42471875
transcript.pyannote[2171].speaker SPEAKER_09
transcript.pyannote[2171].start 10224.98159375
transcript.pyannote[2171].end 10225.80846875
transcript.pyannote[2172].speaker SPEAKER_09
transcript.pyannote[2172].start 10226.11221875
transcript.pyannote[2172].end 10230.39846875
transcript.pyannote[2173].speaker SPEAKER_09
transcript.pyannote[2173].start 10230.95534375
transcript.pyannote[2173].end 10231.68096875
transcript.pyannote[2174].speaker SPEAKER_09
transcript.pyannote[2174].start 10232.15346875
transcript.pyannote[2174].end 10232.42346875
transcript.pyannote[2175].speaker SPEAKER_09
transcript.pyannote[2175].start 10233.21659375
transcript.pyannote[2175].end 10233.63846875
transcript.pyannote[2176].speaker SPEAKER_09
transcript.pyannote[2176].start 10233.97596875
transcript.pyannote[2176].end 10234.70159375
transcript.pyannote[2177].speaker SPEAKER_09
transcript.pyannote[2177].start 10235.52846875
transcript.pyannote[2177].end 10236.30471875
transcript.pyannote[2178].speaker SPEAKER_09
transcript.pyannote[2178].start 10236.77721875
transcript.pyannote[2178].end 10237.75596875
transcript.pyannote[2179].speaker SPEAKER_09
transcript.pyannote[2179].start 10238.27909375
transcript.pyannote[2179].end 10242.49784375
transcript.pyannote[2180].speaker SPEAKER_09
transcript.pyannote[2180].start 10242.98721875
transcript.pyannote[2180].end 10244.33721875
transcript.pyannote[2181].speaker SPEAKER_09
transcript.pyannote[2181].start 10244.82659375
transcript.pyannote[2181].end 10246.36221875
transcript.pyannote[2182].speaker SPEAKER_09
transcript.pyannote[2182].start 10246.76721875
transcript.pyannote[2182].end 10248.53909375
transcript.pyannote[2183].speaker SPEAKER_16
transcript.pyannote[2183].start 10248.75846875
transcript.pyannote[2183].end 10251.84659375
transcript.pyannote[2184].speaker SPEAKER_16
transcript.pyannote[2184].start 10252.25159375
transcript.pyannote[2184].end 10254.96846875
transcript.pyannote[2185].speaker SPEAKER_16
transcript.pyannote[2185].start 10255.44096875
transcript.pyannote[2185].end 10256.72346875
transcript.pyannote[2186].speaker SPEAKER_16
transcript.pyannote[2186].start 10256.94284375
transcript.pyannote[2186].end 10257.70221875
transcript.pyannote[2187].speaker SPEAKER_16
transcript.pyannote[2187].start 10258.07346875
transcript.pyannote[2187].end 10259.05221875
transcript.pyannote[2188].speaker SPEAKER_16
transcript.pyannote[2188].start 10259.40659375
transcript.pyannote[2188].end 10259.89596875
transcript.pyannote[2189].speaker SPEAKER_16
transcript.pyannote[2189].start 10260.52034375
transcript.pyannote[2189].end 10263.37221875
transcript.pyannote[2190].speaker SPEAKER_16
transcript.pyannote[2190].start 10263.87846875
transcript.pyannote[2190].end 10265.81909375
transcript.pyannote[2191].speaker SPEAKER_16
transcript.pyannote[2191].start 10265.97096875
transcript.pyannote[2191].end 10266.91596875
transcript.pyannote[2192].speaker SPEAKER_16
transcript.pyannote[2192].start 10267.27034375
transcript.pyannote[2192].end 10276.23096875
transcript.pyannote[2193].speaker SPEAKER_16
transcript.pyannote[2193].start 10276.34909375
transcript.pyannote[2193].end 10277.31096875
transcript.pyannote[2194].speaker SPEAKER_16
transcript.pyannote[2194].start 10277.73284375
transcript.pyannote[2194].end 10282.54221875
transcript.pyannote[2195].speaker SPEAKER_16
transcript.pyannote[2195].start 10282.94721875
transcript.pyannote[2195].end 10285.34346875
transcript.pyannote[2196].speaker SPEAKER_16
transcript.pyannote[2196].start 10285.63034375
transcript.pyannote[2196].end 10287.36846875
transcript.pyannote[2197].speaker SPEAKER_16
transcript.pyannote[2197].start 10287.99284375
transcript.pyannote[2197].end 10288.24596875
transcript.pyannote[2198].speaker SPEAKER_16
transcript.pyannote[2198].start 10288.78596875
transcript.pyannote[2198].end 10290.79409375
transcript.pyannote[2199].speaker SPEAKER_16
transcript.pyannote[2199].start 10291.19909375
transcript.pyannote[2199].end 10294.37159375
transcript.pyannote[2200].speaker SPEAKER_16
transcript.pyannote[2200].start 10294.81034375
transcript.pyannote[2200].end 10296.00846875
transcript.pyannote[2201].speaker SPEAKER_16
transcript.pyannote[2201].start 10296.36284375
transcript.pyannote[2201].end 10298.62409375
transcript.pyannote[2202].speaker SPEAKER_16
transcript.pyannote[2202].start 10299.16409375
transcript.pyannote[2202].end 10300.76721875
transcript.pyannote[2203].speaker SPEAKER_16
transcript.pyannote[2203].start 10301.45909375
transcript.pyannote[2203].end 10303.23096875
transcript.pyannote[2204].speaker SPEAKER_16
transcript.pyannote[2204].start 10303.63596875
transcript.pyannote[2204].end 10305.69471875
transcript.pyannote[2205].speaker SPEAKER_16
transcript.pyannote[2205].start 10306.26846875
transcript.pyannote[2205].end 10308.10784375
transcript.pyannote[2206].speaker SPEAKER_16
transcript.pyannote[2206].start 10308.41159375
transcript.pyannote[2206].end 10310.94284375
transcript.pyannote[2207].speaker SPEAKER_16
transcript.pyannote[2207].start 10311.33096875
transcript.pyannote[2207].end 10313.86221875
transcript.pyannote[2208].speaker SPEAKER_16
transcript.pyannote[2208].start 10314.35159375
transcript.pyannote[2208].end 10315.24596875
transcript.pyannote[2209].speaker SPEAKER_16
transcript.pyannote[2209].start 10315.51596875
transcript.pyannote[2209].end 10318.35096875
transcript.pyannote[2210].speaker SPEAKER_16
transcript.pyannote[2210].start 10318.73909375
transcript.pyannote[2210].end 10319.00909375
transcript.pyannote[2211].speaker SPEAKER_16
transcript.pyannote[2211].start 10319.44784375
transcript.pyannote[2211].end 10324.27409375
transcript.pyannote[2212].speaker SPEAKER_16
transcript.pyannote[2212].start 10325.05034375
transcript.pyannote[2212].end 10327.49721875
transcript.pyannote[2213].speaker SPEAKER_09
transcript.pyannote[2213].start 10327.58159375
transcript.pyannote[2213].end 10329.84284375
transcript.pyannote[2214].speaker SPEAKER_16
transcript.pyannote[2214].start 10329.35346875
transcript.pyannote[2214].end 10331.24346875
transcript.pyannote[2215].speaker SPEAKER_09
transcript.pyannote[2215].start 10330.55159375
transcript.pyannote[2215].end 10341.31784375
transcript.pyannote[2216].speaker SPEAKER_09
transcript.pyannote[2216].start 10341.46971875
transcript.pyannote[2216].end 10342.49909375
transcript.pyannote[2217].speaker SPEAKER_09
transcript.pyannote[2217].start 10342.75221875
transcript.pyannote[2217].end 10346.09346875
transcript.pyannote[2218].speaker SPEAKER_09
transcript.pyannote[2218].start 10346.22846875
transcript.pyannote[2218].end 10348.13534375
transcript.pyannote[2219].speaker SPEAKER_09
transcript.pyannote[2219].start 10348.54034375
transcript.pyannote[2219].end 10350.27846875
transcript.pyannote[2220].speaker SPEAKER_09
transcript.pyannote[2220].start 10350.59909375
transcript.pyannote[2220].end 10363.45784375
transcript.pyannote[2221].speaker SPEAKER_09
transcript.pyannote[2221].start 10363.54221875
transcript.pyannote[2221].end 10364.53784375
transcript.pyannote[2222].speaker SPEAKER_09
transcript.pyannote[2222].start 10364.87534375
transcript.pyannote[2222].end 10375.05096875
transcript.pyannote[2223].speaker SPEAKER_16
transcript.pyannote[2223].start 10375.40534375
transcript.pyannote[2223].end 10378.08846875
transcript.pyannote[2224].speaker SPEAKER_16
transcript.pyannote[2224].start 10378.37534375
transcript.pyannote[2224].end 10384.14659375
transcript.pyannote[2225].speaker SPEAKER_16
transcript.pyannote[2225].start 10384.93971875
transcript.pyannote[2225].end 10388.44971875
transcript.pyannote[2226].speaker SPEAKER_16
transcript.pyannote[2226].start 10388.50034375
transcript.pyannote[2226].end 10391.62221875
transcript.pyannote[2227].speaker SPEAKER_16
transcript.pyannote[2227].start 10391.80784375
transcript.pyannote[2227].end 10394.82846875
transcript.pyannote[2228].speaker SPEAKER_16
transcript.pyannote[2228].start 10395.04784375
transcript.pyannote[2228].end 10400.71784375
transcript.pyannote[2229].speaker SPEAKER_16
transcript.pyannote[2229].start 10401.35909375
transcript.pyannote[2229].end 10406.33721875
transcript.pyannote[2230].speaker SPEAKER_16
transcript.pyannote[2230].start 10406.75909375
transcript.pyannote[2230].end 10408.02471875
transcript.pyannote[2231].speaker SPEAKER_16
transcript.pyannote[2231].start 10408.15971875
transcript.pyannote[2231].end 10411.16346875
transcript.pyannote[2232].speaker SPEAKER_16
transcript.pyannote[2232].start 10411.26471875
transcript.pyannote[2232].end 10418.68971875
transcript.pyannote[2233].speaker SPEAKER_09
transcript.pyannote[2233].start 10419.12846875
transcript.pyannote[2233].end 10425.57471875
transcript.pyannote[2234].speaker SPEAKER_09
transcript.pyannote[2234].start 10425.86159375
transcript.pyannote[2234].end 10430.06346875
transcript.pyannote[2235].speaker SPEAKER_09
transcript.pyannote[2235].start 10430.99159375
transcript.pyannote[2235].end 10431.43034375
transcript.pyannote[2236].speaker SPEAKER_00
transcript.pyannote[2236].start 10431.64971875
transcript.pyannote[2236].end 10459.32471875
transcript.pyannote[2237].speaker SPEAKER_09
transcript.pyannote[2237].start 10458.43034375
transcript.pyannote[2237].end 10460.67471875
transcript.pyannote[2238].speaker SPEAKER_00
transcript.pyannote[2238].start 10460.59034375
transcript.pyannote[2238].end 10460.94471875
transcript.pyannote[2239].speaker SPEAKER_09
transcript.pyannote[2239].start 10460.91096875
transcript.pyannote[2239].end 10462.07534375
transcript.pyannote[2240].speaker SPEAKER_00
transcript.pyannote[2240].start 10462.76721875
transcript.pyannote[2240].end 10464.96096875
transcript.pyannote[2241].speaker SPEAKER_09
transcript.pyannote[2241].start 10463.37471875
transcript.pyannote[2241].end 10468.16721875
transcript.pyannote[2242].speaker SPEAKER_00
transcript.pyannote[2242].start 10466.76659375
transcript.pyannote[2242].end 10479.65909375
transcript.pyannote[2243].speaker SPEAKER_09
transcript.pyannote[2243].start 10470.20909375
transcript.pyannote[2243].end 10470.64784375
transcript.pyannote[2244].speaker SPEAKER_09
transcript.pyannote[2244].start 10479.65909375
transcript.pyannote[2244].end 10487.89409375
transcript.pyannote[2245].speaker SPEAKER_00
transcript.pyannote[2245].start 10482.54471875
transcript.pyannote[2245].end 10483.32096875
transcript.pyannote[2246].speaker SPEAKER_00
transcript.pyannote[2246].start 10483.59096875
transcript.pyannote[2246].end 10484.29971875
transcript.pyannote[2247].speaker SPEAKER_09
transcript.pyannote[2247].start 10488.41721875
transcript.pyannote[2247].end 10490.98221875
transcript.pyannote[2248].speaker SPEAKER_00
transcript.pyannote[2248].start 10491.38721875
transcript.pyannote[2248].end 10496.53409375
transcript.pyannote[2249].speaker SPEAKER_09
transcript.pyannote[2249].start 10496.46659375
transcript.pyannote[2249].end 10500.44909375
transcript.pyannote[2250].speaker SPEAKER_09
transcript.pyannote[2250].start 10500.97221875
transcript.pyannote[2250].end 10501.63034375
transcript.pyannote[2251].speaker SPEAKER_00
transcript.pyannote[2251].start 10501.73159375
transcript.pyannote[2251].end 10505.54534375
transcript.pyannote[2252].speaker SPEAKER_09
transcript.pyannote[2252].start 10506.01784375
transcript.pyannote[2252].end 10518.45471875
transcript.pyannote[2253].speaker SPEAKER_00
transcript.pyannote[2253].start 10507.70534375
transcript.pyannote[2253].end 10507.84034375
transcript.pyannote[2254].speaker SPEAKER_25
transcript.pyannote[2254].start 10513.93221875
transcript.pyannote[2254].end 10514.40471875
transcript.pyannote[2255].speaker SPEAKER_09
transcript.pyannote[2255].start 10519.06221875
transcript.pyannote[2255].end 10532.30909375
transcript.pyannote[2256].speaker SPEAKER_16
transcript.pyannote[2256].start 10532.30909375
transcript.pyannote[2256].end 10537.87784375
transcript.pyannote[2257].speaker SPEAKER_16
transcript.pyannote[2257].start 10538.31659375
transcript.pyannote[2257].end 10540.30784375
transcript.pyannote[2258].speaker SPEAKER_09
transcript.pyannote[2258].start 10539.90284375
transcript.pyannote[2258].end 10559.93346875
transcript.pyannote[2259].speaker SPEAKER_16
transcript.pyannote[2259].start 10542.24846875
transcript.pyannote[2259].end 10542.90659375
transcript.pyannote[2260].speaker SPEAKER_09
transcript.pyannote[2260].start 10560.16971875
transcript.pyannote[2260].end 10566.41346875
transcript.pyannote[2261].speaker SPEAKER_09
transcript.pyannote[2261].start 10567.02096875
transcript.pyannote[2261].end 10571.42534375
transcript.pyannote[2262].speaker SPEAKER_16
transcript.pyannote[2262].start 10571.98221875
transcript.pyannote[2262].end 10573.95659375
transcript.pyannote[2263].speaker SPEAKER_16
transcript.pyannote[2263].start 10574.41221875
transcript.pyannote[2263].end 10580.03159375
transcript.pyannote[2264].speaker SPEAKER_16
transcript.pyannote[2264].start 10580.48721875
transcript.pyannote[2264].end 10585.66784375
transcript.pyannote[2265].speaker SPEAKER_09
transcript.pyannote[2265].start 10584.75659375
transcript.pyannote[2265].end 10584.99284375
transcript.pyannote[2266].speaker SPEAKER_09
transcript.pyannote[2266].start 10585.66784375
transcript.pyannote[2266].end 10598.03721875
transcript.pyannote[2267].speaker SPEAKER_09
transcript.pyannote[2267].start 10598.20596875
transcript.pyannote[2267].end 10599.64034375
transcript.pyannote[2268].speaker SPEAKER_13
transcript.pyannote[2268].start 10600.06221875
transcript.pyannote[2268].end 10601.17596875
transcript.pyannote[2269].speaker SPEAKER_09
transcript.pyannote[2269].start 10600.51784375
transcript.pyannote[2269].end 10614.32159375
transcript.pyannote[2270].speaker SPEAKER_16
transcript.pyannote[2270].start 10614.70971875
transcript.pyannote[2270].end 10614.77721875
transcript.pyannote[2271].speaker SPEAKER_09
transcript.pyannote[2271].start 10614.77721875
transcript.pyannote[2271].end 10615.82346875
transcript.pyannote[2272].speaker SPEAKER_16
transcript.pyannote[2272].start 10614.82784375
transcript.pyannote[2272].end 10621.47659375
transcript.pyannote[2273].speaker SPEAKER_09
transcript.pyannote[2273].start 10621.47659375
transcript.pyannote[2273].end 10625.44221875
transcript.pyannote[2274].speaker SPEAKER_16
transcript.pyannote[2274].start 10625.44221875
transcript.pyannote[2274].end 10625.84721875
transcript.pyannote[2275].speaker SPEAKER_26
transcript.pyannote[2275].start 10625.84721875
transcript.pyannote[2275].end 10625.91471875
transcript.pyannote[2276].speaker SPEAKER_09
transcript.pyannote[2276].start 10625.91471875
transcript.pyannote[2276].end 10631.97284375
transcript.pyannote[2277].speaker SPEAKER_09
transcript.pyannote[2277].start 10632.00659375
transcript.pyannote[2277].end 10632.02346875
transcript.pyannote[2278].speaker SPEAKER_09
transcript.pyannote[2278].start 10632.04034375
transcript.pyannote[2278].end 10632.05721875
transcript.pyannote[2279].speaker SPEAKER_26
transcript.pyannote[2279].start 10632.05721875
transcript.pyannote[2279].end 10632.29346875
transcript.pyannote[2280].speaker SPEAKER_09
transcript.pyannote[2280].start 10632.56346875
transcript.pyannote[2280].end 10634.35221875
transcript.pyannote[2281].speaker SPEAKER_09
transcript.pyannote[2281].start 10635.68534375
transcript.pyannote[2281].end 10649.48909375
transcript.pyannote[2282].speaker SPEAKER_00
transcript.pyannote[2282].start 10646.04659375
transcript.pyannote[2282].end 10646.06346875
transcript.pyannote[2283].speaker SPEAKER_06
transcript.pyannote[2283].start 10646.06346875
transcript.pyannote[2283].end 10646.08034375
transcript.pyannote[2284].speaker SPEAKER_12
transcript.pyannote[2284].start 10646.08034375
transcript.pyannote[2284].end 10646.11409375
transcript.pyannote[2285].speaker SPEAKER_06
transcript.pyannote[2285].start 10646.11409375
transcript.pyannote[2285].end 10646.50221875
transcript.pyannote[2286].speaker SPEAKER_12
transcript.pyannote[2286].start 10646.50221875
transcript.pyannote[2286].end 10646.51909375
transcript.pyannote[2287].speaker SPEAKER_00
transcript.pyannote[2287].start 10646.51909375
transcript.pyannote[2287].end 10646.55284375
transcript.pyannote[2288].speaker SPEAKER_09
transcript.pyannote[2288].start 10649.87721875
transcript.pyannote[2288].end 10651.75034375
transcript.pyannote[2289].speaker SPEAKER_09
transcript.pyannote[2289].start 10651.98659375
transcript.pyannote[2289].end 10656.40784375
transcript.pyannote[2290].speaker SPEAKER_09
transcript.pyannote[2290].start 10656.50909375
transcript.pyannote[2290].end 10657.35284375
transcript.pyannote[2291].speaker SPEAKER_16
transcript.pyannote[2291].start 10657.57221875
transcript.pyannote[2291].end 10660.45784375
transcript.pyannote[2292].speaker SPEAKER_09
transcript.pyannote[2292].start 10659.09096875
transcript.pyannote[2292].end 10675.18971875
transcript.pyannote[2293].speaker SPEAKER_09
transcript.pyannote[2293].start 10675.83096875
transcript.pyannote[2293].end 10676.94471875
transcript.pyannote[2294].speaker SPEAKER_09
transcript.pyannote[2294].start 10677.36659375
transcript.pyannote[2294].end 10679.15534375
transcript.pyannote[2295].speaker SPEAKER_09
transcript.pyannote[2295].start 10679.61096875
transcript.pyannote[2295].end 10681.53471875
transcript.pyannote[2296].speaker SPEAKER_09
transcript.pyannote[2296].start 10681.83846875
transcript.pyannote[2296].end 10687.66034375
transcript.pyannote[2297].speaker SPEAKER_09
transcript.pyannote[2297].start 10688.04846875
transcript.pyannote[2297].end 10688.97659375
transcript.pyannote[2298].speaker SPEAKER_09
transcript.pyannote[2298].start 10690.74846875
transcript.pyannote[2298].end 10692.36846875
transcript.pyannote[2299].speaker SPEAKER_09
transcript.pyannote[2299].start 10692.60471875
transcript.pyannote[2299].end 10693.38096875
transcript.pyannote[2300].speaker SPEAKER_09
transcript.pyannote[2300].start 10693.98846875
transcript.pyannote[2300].end 10694.41034375
transcript.pyannote[2301].speaker SPEAKER_09
transcript.pyannote[2301].start 10694.81534375
transcript.pyannote[2301].end 10695.50721875
transcript.pyannote[2302].speaker SPEAKER_09
transcript.pyannote[2302].start 10695.86159375
transcript.pyannote[2302].end 10696.80659375
transcript.pyannote[2303].speaker SPEAKER_09
transcript.pyannote[2303].start 10697.63346875
transcript.pyannote[2303].end 10701.00846875
transcript.pyannote[2304].speaker SPEAKER_09
transcript.pyannote[2304].start 10701.36284375
transcript.pyannote[2304].end 10702.42596875
transcript.pyannote[2305].speaker SPEAKER_09
transcript.pyannote[2305].start 10702.67909375
transcript.pyannote[2305].end 10703.94471875
transcript.pyannote[2306].speaker SPEAKER_09
transcript.pyannote[2306].start 10704.07971875
transcript.pyannote[2306].end 10704.51846875
transcript.pyannote[2307].speaker SPEAKER_09
transcript.pyannote[2307].start 10706.23971875
transcript.pyannote[2307].end 10708.04534375
transcript.pyannote[2308].speaker SPEAKER_09
transcript.pyannote[2308].start 10708.48409375
transcript.pyannote[2308].end 10714.39034375
transcript.pyannote[2309].speaker SPEAKER_09
transcript.pyannote[2309].start 10715.18346875
transcript.pyannote[2309].end 10721.54534375
transcript.pyannote[2310].speaker SPEAKER_16
transcript.pyannote[2310].start 10720.27971875
transcript.pyannote[2310].end 10721.49471875
transcript.pyannote[2311].speaker SPEAKER_16
transcript.pyannote[2311].start 10721.61284375
transcript.pyannote[2311].end 10726.00034375
transcript.pyannote[2312].speaker SPEAKER_16
transcript.pyannote[2312].start 10726.30409375
transcript.pyannote[2312].end 10729.12221875
transcript.pyannote[2313].speaker SPEAKER_16
transcript.pyannote[2313].start 10729.37534375
transcript.pyannote[2313].end 10731.58596875
transcript.pyannote[2314].speaker SPEAKER_16
transcript.pyannote[2314].start 10731.78846875
transcript.pyannote[2314].end 10734.74159375
transcript.pyannote[2315].speaker SPEAKER_16
transcript.pyannote[2315].start 10735.11284375
transcript.pyannote[2315].end 10737.01971875
transcript.pyannote[2316].speaker SPEAKER_16
transcript.pyannote[2316].start 10737.34034375
transcript.pyannote[2316].end 10739.71971875
transcript.pyannote[2317].speaker SPEAKER_16
transcript.pyannote[2317].start 10740.10784375
transcript.pyannote[2317].end 10742.94284375
transcript.pyannote[2318].speaker SPEAKER_16
transcript.pyannote[2318].start 10742.97659375
transcript.pyannote[2318].end 10744.79909375
transcript.pyannote[2319].speaker SPEAKER_16
transcript.pyannote[2319].start 10745.22096875
transcript.pyannote[2319].end 10746.26721875
transcript.pyannote[2320].speaker SPEAKER_16
transcript.pyannote[2320].start 10746.62159375
transcript.pyannote[2320].end 10749.00096875
transcript.pyannote[2321].speaker SPEAKER_16
transcript.pyannote[2321].start 10749.32159375
transcript.pyannote[2321].end 10750.90784375
transcript.pyannote[2322].speaker SPEAKER_16
transcript.pyannote[2322].start 10751.24534375
transcript.pyannote[2322].end 10752.27471875
transcript.pyannote[2323].speaker SPEAKER_16
transcript.pyannote[2323].start 10752.39284375
transcript.pyannote[2323].end 10762.12971875
transcript.pyannote[2324].speaker SPEAKER_09
transcript.pyannote[2324].start 10760.13846875
transcript.pyannote[2324].end 10769.11596875
transcript.pyannote[2325].speaker SPEAKER_09
transcript.pyannote[2325].start 10769.30159375
transcript.pyannote[2325].end 10771.39409375
transcript.pyannote[2326].speaker SPEAKER_09
transcript.pyannote[2326].start 10771.46159375
transcript.pyannote[2326].end 10773.43596875
transcript.pyannote[2327].speaker SPEAKER_09
transcript.pyannote[2327].start 10773.80721875
transcript.pyannote[2327].end 10775.73096875
transcript.pyannote[2328].speaker SPEAKER_09
transcript.pyannote[2328].start 10776.05159375
transcript.pyannote[2328].end 10777.08096875
transcript.pyannote[2329].speaker SPEAKER_09
transcript.pyannote[2329].start 10777.33409375
transcript.pyannote[2329].end 10777.92471875
transcript.pyannote[2330].speaker SPEAKER_09
transcript.pyannote[2330].start 10778.49846875
transcript.pyannote[2330].end 10784.26971875
transcript.pyannote[2331].speaker SPEAKER_06
transcript.pyannote[2331].start 10786.17659375
transcript.pyannote[2331].end 10786.86846875
transcript.pyannote[2332].speaker SPEAKER_09
transcript.pyannote[2332].start 10786.26096875
transcript.pyannote[2332].end 10786.63221875
transcript.pyannote[2333].speaker SPEAKER_06
transcript.pyannote[2333].start 10787.45909375
transcript.pyannote[2333].end 10796.90909375
transcript.pyannote[2334].speaker SPEAKER_09
transcript.pyannote[2334].start 10796.21721875
transcript.pyannote[2334].end 10801.29659375
transcript.pyannote[2335].speaker SPEAKER_09
transcript.pyannote[2335].start 10801.51596875
transcript.pyannote[2335].end 10805.61659375
transcript.pyannote[2336].speaker SPEAKER_09
transcript.pyannote[2336].start 10805.63346875
transcript.pyannote[2336].end 10815.67409375
transcript.pyannote[2337].speaker SPEAKER_09
transcript.pyannote[2337].start 10816.14659375
transcript.pyannote[2337].end 10820.41596875
transcript.pyannote[2338].speaker SPEAKER_09
transcript.pyannote[2338].start 10820.51721875
transcript.pyannote[2338].end 10821.41159375
transcript.pyannote[2339].speaker SPEAKER_09
transcript.pyannote[2339].start 10821.66471875
transcript.pyannote[2339].end 10822.72784375
transcript.pyannote[2340].speaker SPEAKER_09
transcript.pyannote[2340].start 10823.13284375
transcript.pyannote[2340].end 10824.29721875
transcript.pyannote[2341].speaker SPEAKER_09
transcript.pyannote[2341].start 10824.55034375
transcript.pyannote[2341].end 10825.52909375
transcript.pyannote[2342].speaker SPEAKER_16
transcript.pyannote[2342].start 10826.45721875
transcript.pyannote[2342].end 10831.19909375
transcript.pyannote[2343].speaker SPEAKER_16
transcript.pyannote[2343].start 10831.26659375
transcript.pyannote[2343].end 10834.60784375
transcript.pyannote[2344].speaker SPEAKER_16
transcript.pyannote[2344].start 10834.69221875
transcript.pyannote[2344].end 10836.95346875
transcript.pyannote[2345].speaker SPEAKER_16
transcript.pyannote[2345].start 10837.25721875
transcript.pyannote[2345].end 10840.00784375
transcript.pyannote[2346].speaker SPEAKER_16
transcript.pyannote[2346].start 10840.32846875
transcript.pyannote[2346].end 10842.89346875
transcript.pyannote[2347].speaker SPEAKER_16
transcript.pyannote[2347].start 10843.31534375
transcript.pyannote[2347].end 10844.59784375
transcript.pyannote[2348].speaker SPEAKER_16
transcript.pyannote[2348].start 10845.13784375
transcript.pyannote[2348].end 10846.26846875
transcript.pyannote[2349].speaker SPEAKER_16
transcript.pyannote[2349].start 10846.63971875
transcript.pyannote[2349].end 10846.89284375
transcript.pyannote[2350].speaker SPEAKER_16
transcript.pyannote[2350].start 10846.96034375
transcript.pyannote[2350].end 10848.81659375
transcript.pyannote[2351].speaker SPEAKER_16
transcript.pyannote[2351].start 10848.85034375
transcript.pyannote[2351].end 10853.00159375
transcript.pyannote[2352].speaker SPEAKER_06
transcript.pyannote[2352].start 10854.26721875
transcript.pyannote[2352].end 10877.53784375
transcript.pyannote[2353].speaker SPEAKER_09
transcript.pyannote[2353].start 10877.53784375
transcript.pyannote[2353].end 10880.28846875
transcript.pyannote[2354].speaker SPEAKER_06
transcript.pyannote[2354].start 10877.89221875
transcript.pyannote[2354].end 10877.97659375
transcript.pyannote[2355].speaker SPEAKER_09
transcript.pyannote[2355].start 10881.01409375
transcript.pyannote[2355].end 10882.12784375
transcript.pyannote[2356].speaker SPEAKER_09
transcript.pyannote[2356].start 10882.63409375
transcript.pyannote[2356].end 10885.26659375
transcript.pyannote[2357].speaker SPEAKER_09
transcript.pyannote[2357].start 10885.62096875
transcript.pyannote[2357].end 10887.42659375
transcript.pyannote[2358].speaker SPEAKER_09
transcript.pyannote[2358].start 10887.96659375
transcript.pyannote[2358].end 10888.72596875
transcript.pyannote[2359].speaker SPEAKER_09
transcript.pyannote[2359].start 10889.41784375
transcript.pyannote[2359].end 10892.01659375
transcript.pyannote[2360].speaker SPEAKER_06
transcript.pyannote[2360].start 10892.52284375
transcript.pyannote[2360].end 10909.16159375
transcript.pyannote[2361].speaker SPEAKER_06
transcript.pyannote[2361].start 10909.90409375
transcript.pyannote[2361].end 10911.84471875
transcript.pyannote[2362].speaker SPEAKER_06
transcript.pyannote[2362].start 10912.09784375
transcript.pyannote[2362].end 10917.73409375
transcript.pyannote[2363].speaker SPEAKER_06
transcript.pyannote[2363].start 10918.13909375
transcript.pyannote[2363].end 10921.96971875
transcript.pyannote[2364].speaker SPEAKER_09
transcript.pyannote[2364].start 10921.96971875
transcript.pyannote[2364].end 10925.15909375
transcript.pyannote[2365].speaker SPEAKER_09
transcript.pyannote[2365].start 10925.51346875
transcript.pyannote[2365].end 10928.17971875
transcript.pyannote[2366].speaker SPEAKER_09
transcript.pyannote[2366].start 10928.68596875
transcript.pyannote[2366].end 10932.46596875
transcript.pyannote[2367].speaker SPEAKER_09
transcript.pyannote[2367].start 10932.60096875
transcript.pyannote[2367].end 10934.96346875
transcript.pyannote[2368].speaker SPEAKER_09
transcript.pyannote[2368].start 10935.90846875
transcript.pyannote[2368].end 10936.71846875
transcript.pyannote[2369].speaker SPEAKER_09
transcript.pyannote[2369].start 10937.02221875
transcript.pyannote[2369].end 10939.90784375
transcript.pyannote[2370].speaker SPEAKER_09
transcript.pyannote[2370].start 10940.16096875
transcript.pyannote[2370].end 10941.73034375
transcript.pyannote[2371].speaker SPEAKER_09
transcript.pyannote[2371].start 10941.88221875
transcript.pyannote[2371].end 10944.32909375
transcript.pyannote[2372].speaker SPEAKER_09
transcript.pyannote[2372].start 10944.66659375
transcript.pyannote[2372].end 10947.40034375
transcript.pyannote[2373].speaker SPEAKER_09
transcript.pyannote[2373].start 10947.53534375
transcript.pyannote[2373].end 10949.17221875
transcript.pyannote[2374].speaker SPEAKER_09
transcript.pyannote[2374].start 10949.69534375
transcript.pyannote[2374].end 10953.35721875
transcript.pyannote[2375].speaker SPEAKER_09
transcript.pyannote[2375].start 10953.72846875
transcript.pyannote[2375].end 10961.37284375
transcript.pyannote[2376].speaker SPEAKER_09
transcript.pyannote[2376].start 10961.62596875
transcript.pyannote[2376].end 10965.40596875
transcript.pyannote[2377].speaker SPEAKER_09
transcript.pyannote[2377].start 10965.89534375
transcript.pyannote[2377].end 10971.76784375
transcript.pyannote[2378].speaker SPEAKER_09
transcript.pyannote[2378].start 10972.24034375
transcript.pyannote[2378].end 10984.22159375
transcript.pyannote[2379].speaker SPEAKER_09
transcript.pyannote[2379].start 10984.50846875
transcript.pyannote[2379].end 10986.31409375
transcript.pyannote[2380].speaker SPEAKER_07
transcript.pyannote[2380].start 10986.78659375
transcript.pyannote[2380].end 10986.98909375
transcript.pyannote[2381].speaker SPEAKER_09
transcript.pyannote[2381].start 10987.15784375
transcript.pyannote[2381].end 10988.11971875
transcript.pyannote[2382].speaker SPEAKER_09
transcript.pyannote[2382].start 10988.65971875
transcript.pyannote[2382].end 10989.31784375
transcript.pyannote[2383].speaker SPEAKER_09
transcript.pyannote[2383].start 10989.38534375
transcript.pyannote[2383].end 10989.92534375
transcript.pyannote[2384].speaker SPEAKER_09
transcript.pyannote[2384].start 10990.63409375
transcript.pyannote[2384].end 10992.89534375
transcript.pyannote[2385].speaker SPEAKER_09
transcript.pyannote[2385].start 10993.08096875
transcript.pyannote[2385].end 10995.03846875
transcript.pyannote[2386].speaker SPEAKER_06
transcript.pyannote[2386].start 10995.03846875
transcript.pyannote[2386].end 10996.20284375
transcript.pyannote[2387].speaker SPEAKER_06
transcript.pyannote[2387].start 10997.33346875
transcript.pyannote[2387].end 11007.08721875
transcript.pyannote[2388].speaker SPEAKER_06
transcript.pyannote[2388].start 11007.27284375
transcript.pyannote[2388].end 11008.87596875
transcript.pyannote[2389].speaker SPEAKER_06
transcript.pyannote[2389].start 11009.06159375
transcript.pyannote[2389].end 11010.32721875
transcript.pyannote[2390].speaker SPEAKER_09
transcript.pyannote[2390].start 11010.32721875
transcript.pyannote[2390].end 11013.97221875
transcript.pyannote[2391].speaker SPEAKER_09
transcript.pyannote[2391].start 11014.63034375
transcript.pyannote[2391].end 11015.33909375
transcript.pyannote[2392].speaker SPEAKER_09
transcript.pyannote[2392].start 11015.65971875
transcript.pyannote[2392].end 11016.26721875
transcript.pyannote[2393].speaker SPEAKER_07
transcript.pyannote[2393].start 11065.23846875
transcript.pyannote[2393].end 11069.67659375
transcript.pyannote[2394].speaker SPEAKER_07
transcript.pyannote[2394].start 11076.35909375
transcript.pyannote[2394].end 11078.73846875
transcript.pyannote[2395].speaker SPEAKER_07
transcript.pyannote[2395].start 11079.37971875
transcript.pyannote[2395].end 11086.73721875
transcript.pyannote[2396].speaker SPEAKER_07
transcript.pyannote[2396].start 11089.38659375
transcript.pyannote[2396].end 11092.52534375
transcript.pyannote[2397].speaker SPEAKER_17
transcript.pyannote[2397].start 11100.16971875
transcript.pyannote[2397].end 11102.68409375
transcript.pyannote[2398].speaker SPEAKER_07
transcript.pyannote[2398].start 11102.95409375
transcript.pyannote[2398].end 11104.55721875
transcript.pyannote[2399].speaker SPEAKER_16
transcript.pyannote[2399].start 11115.08721875
transcript.pyannote[2399].end 11115.81284375
transcript.pyannote[2400].speaker SPEAKER_17
transcript.pyannote[2400].start 11116.33596875
transcript.pyannote[2400].end 11118.78284375
transcript.pyannote[2401].speaker SPEAKER_17
transcript.pyannote[2401].start 11119.67721875
transcript.pyannote[2401].end 11142.61034375
transcript.pyannote[2402].speaker SPEAKER_16
transcript.pyannote[2402].start 11143.87596875
transcript.pyannote[2402].end 11145.04034375
transcript.pyannote[2403].speaker SPEAKER_16
transcript.pyannote[2403].start 11145.88409375
transcript.pyannote[2403].end 11147.53784375
transcript.pyannote[2404].speaker SPEAKER_16
transcript.pyannote[2404].start 11148.16221875
transcript.pyannote[2404].end 11154.81096875
transcript.pyannote[2405].speaker SPEAKER_16
transcript.pyannote[2405].start 11155.11471875
transcript.pyannote[2405].end 11157.02159375
transcript.pyannote[2406].speaker SPEAKER_16
transcript.pyannote[2406].start 11157.35909375
transcript.pyannote[2406].end 11159.50221875
transcript.pyannote[2407].speaker SPEAKER_16
transcript.pyannote[2407].start 11159.65409375
transcript.pyannote[2407].end 11160.32909375
transcript.pyannote[2408].speaker SPEAKER_16
transcript.pyannote[2408].start 11160.56534375
transcript.pyannote[2408].end 11162.08409375
transcript.pyannote[2409].speaker SPEAKER_16
transcript.pyannote[2409].start 11162.30346875
transcript.pyannote[2409].end 11163.06284375
transcript.pyannote[2410].speaker SPEAKER_16
transcript.pyannote[2410].start 11163.28221875
transcript.pyannote[2410].end 11164.02471875
transcript.pyannote[2411].speaker SPEAKER_16
transcript.pyannote[2411].start 11164.32846875
transcript.pyannote[2411].end 11165.07096875
transcript.pyannote[2412].speaker SPEAKER_16
transcript.pyannote[2412].start 11165.18909375
transcript.pyannote[2412].end 11166.82596875
transcript.pyannote[2413].speaker SPEAKER_16
transcript.pyannote[2413].start 11167.45034375
transcript.pyannote[2413].end 11168.31096875
transcript.pyannote[2414].speaker SPEAKER_16
transcript.pyannote[2414].start 11168.59784375
transcript.pyannote[2414].end 11174.20034375
transcript.pyannote[2415].speaker SPEAKER_17
transcript.pyannote[2415].start 11170.30221875
transcript.pyannote[2415].end 11170.85909375
transcript.pyannote[2416].speaker SPEAKER_17
transcript.pyannote[2416].start 11172.68159375
transcript.pyannote[2416].end 11193.11721875
transcript.pyannote[2417].speaker SPEAKER_16
transcript.pyannote[2417].start 11191.53096875
transcript.pyannote[2417].end 11197.75784375
transcript.pyannote[2418].speaker SPEAKER_17
transcript.pyannote[2418].start 11196.47534375
transcript.pyannote[2418].end 11205.33471875
transcript.pyannote[2419].speaker SPEAKER_17
transcript.pyannote[2419].start 11205.72284375
transcript.pyannote[2419].end 11217.09659375
transcript.pyannote[2420].speaker SPEAKER_16
transcript.pyannote[2420].start 11217.77159375
transcript.pyannote[2420].end 11223.07034375
transcript.pyannote[2421].speaker SPEAKER_17
transcript.pyannote[2421].start 11221.02846875
transcript.pyannote[2421].end 11221.48409375
transcript.pyannote[2422].speaker SPEAKER_17
transcript.pyannote[2422].start 11222.49659375
transcript.pyannote[2422].end 11265.51096875
transcript.pyannote[2423].speaker SPEAKER_16
transcript.pyannote[2423].start 11265.78096875
transcript.pyannote[2423].end 11266.75971875
transcript.pyannote[2424].speaker SPEAKER_16
transcript.pyannote[2424].start 11266.87784375
transcript.pyannote[2424].end 11268.04221875
transcript.pyannote[2425].speaker SPEAKER_16
transcript.pyannote[2425].start 11268.46409375
transcript.pyannote[2425].end 11274.72471875
transcript.pyannote[2426].speaker SPEAKER_17
transcript.pyannote[2426].start 11274.82596875
transcript.pyannote[2426].end 11283.31409375
transcript.pyannote[2427].speaker SPEAKER_16
transcript.pyannote[2427].start 11274.92721875
transcript.pyannote[2427].end 11275.11284375
transcript.pyannote[2428].speaker SPEAKER_16
transcript.pyannote[2428].start 11283.34784375
transcript.pyannote[2428].end 11288.30909375
transcript.pyannote[2429].speaker SPEAKER_16
transcript.pyannote[2429].start 11288.34284375
transcript.pyannote[2429].end 11288.37659375
transcript.pyannote[2430].speaker SPEAKER_17
transcript.pyannote[2430].start 11288.37659375
transcript.pyannote[2430].end 11288.39346875
transcript.pyannote[2431].speaker SPEAKER_16
transcript.pyannote[2431].start 11288.39346875
transcript.pyannote[2431].end 11288.41034375
transcript.pyannote[2432].speaker SPEAKER_17
transcript.pyannote[2432].start 11288.41034375
transcript.pyannote[2432].end 11288.96721875
transcript.pyannote[2433].speaker SPEAKER_16
transcript.pyannote[2433].start 11288.42721875
transcript.pyannote[2433].end 11288.84909375
transcript.pyannote[2434].speaker SPEAKER_15
transcript.pyannote[2434].start 11288.96721875
transcript.pyannote[2434].end 11289.00096875
transcript.pyannote[2435].speaker SPEAKER_16
transcript.pyannote[2435].start 11289.00096875
transcript.pyannote[2435].end 11295.70034375
transcript.pyannote[2436].speaker SPEAKER_17
transcript.pyannote[2436].start 11295.93659375
transcript.pyannote[2436].end 11308.87971875
transcript.pyannote[2437].speaker SPEAKER_17
transcript.pyannote[2437].start 11311.73159375
transcript.pyannote[2437].end 11316.28784375
transcript.pyannote[2438].speaker SPEAKER_17
transcript.pyannote[2438].start 11316.62534375
transcript.pyannote[2438].end 11318.00909375
transcript.pyannote[2439].speaker SPEAKER_16
transcript.pyannote[2439].start 11319.86534375
transcript.pyannote[2439].end 11324.70846875
transcript.pyannote[2440].speaker SPEAKER_17
transcript.pyannote[2440].start 11323.25721875
transcript.pyannote[2440].end 11329.60221875
transcript.pyannote[2441].speaker SPEAKER_17
transcript.pyannote[2441].start 11330.12534375
transcript.pyannote[2441].end 11331.00284375
transcript.pyannote[2442].speaker SPEAKER_14
transcript.pyannote[2442].start 11331.39096875
transcript.pyannote[2442].end 11335.08659375
transcript.pyannote[2443].speaker SPEAKER_14
transcript.pyannote[2443].start 11335.17096875
transcript.pyannote[2443].end 11339.60909375
transcript.pyannote[2444].speaker SPEAKER_14
transcript.pyannote[2444].start 11339.91284375
transcript.pyannote[2444].end 11343.65909375
transcript.pyannote[2445].speaker SPEAKER_00
transcript.pyannote[2445].start 11342.54534375
transcript.pyannote[2445].end 11342.86596875
transcript.pyannote[2446].speaker SPEAKER_14
transcript.pyannote[2446].start 11343.94596875
transcript.pyannote[2446].end 11347.67534375
transcript.pyannote[2447].speaker SPEAKER_14
transcript.pyannote[2447].start 11347.89471875
transcript.pyannote[2447].end 11357.05784375
transcript.pyannote[2448].speaker SPEAKER_00
transcript.pyannote[2448].start 11350.59471875
transcript.pyannote[2448].end 11350.79721875
transcript.pyannote[2449].speaker SPEAKER_17
transcript.pyannote[2449].start 11356.95659375
transcript.pyannote[2449].end 11379.70409375
transcript.pyannote[2450].speaker SPEAKER_17
transcript.pyannote[2450].start 11380.41284375
transcript.pyannote[2450].end 11381.81346875
transcript.pyannote[2451].speaker SPEAKER_16
transcript.pyannote[2451].start 11382.89346875
transcript.pyannote[2451].end 11385.64409375
transcript.pyannote[2452].speaker SPEAKER_17
transcript.pyannote[2452].start 11384.00721875
transcript.pyannote[2452].end 11408.08784375
transcript.pyannote[2453].speaker SPEAKER_17
transcript.pyannote[2453].start 11408.50971875
transcript.pyannote[2453].end 11409.40409375
transcript.pyannote[2454].speaker SPEAKER_17
transcript.pyannote[2454].start 11409.94409375
transcript.pyannote[2454].end 11424.50721875
transcript.pyannote[2455].speaker SPEAKER_26
transcript.pyannote[2455].start 11424.50721875
transcript.pyannote[2455].end 11424.91221875
transcript.pyannote[2456].speaker SPEAKER_17
transcript.pyannote[2456].start 11424.96284375
transcript.pyannote[2456].end 11426.34659375
transcript.pyannote[2457].speaker SPEAKER_17
transcript.pyannote[2457].start 11426.88659375
transcript.pyannote[2457].end 11440.03221875
transcript.pyannote[2458].speaker SPEAKER_17
transcript.pyannote[2458].start 11440.13346875
transcript.pyannote[2458].end 11451.45659375
transcript.pyannote[2459].speaker SPEAKER_17
transcript.pyannote[2459].start 11451.79409375
transcript.pyannote[2459].end 11454.10596875
transcript.pyannote[2460].speaker SPEAKER_17
transcript.pyannote[2460].start 11454.51096875
transcript.pyannote[2460].end 11479.16534375
transcript.pyannote[2461].speaker SPEAKER_17
transcript.pyannote[2461].start 11479.72221875
transcript.pyannote[2461].end 11500.79909375
transcript.pyannote[2462].speaker SPEAKER_12
transcript.pyannote[2462].start 11501.22096875
transcript.pyannote[2462].end 11512.15596875
transcript.pyannote[2463].speaker SPEAKER_12
transcript.pyannote[2463].start 11512.18971875
transcript.pyannote[2463].end 11512.22346875
transcript.pyannote[2464].speaker SPEAKER_17
transcript.pyannote[2464].start 11512.22346875
transcript.pyannote[2464].end 11536.06784375
transcript.pyannote[2465].speaker SPEAKER_12
transcript.pyannote[2465].start 11513.59034375
transcript.pyannote[2465].end 11514.21471875
transcript.pyannote[2466].speaker SPEAKER_12
transcript.pyannote[2466].start 11514.45096875
transcript.pyannote[2466].end 11514.97409375
transcript.pyannote[2467].speaker SPEAKER_11
transcript.pyannote[2467].start 11523.74909375
transcript.pyannote[2467].end 11524.22159375
transcript.pyannote[2468].speaker SPEAKER_12
transcript.pyannote[2468].start 11536.03409375
transcript.pyannote[2468].end 11536.40534375
transcript.pyannote[2469].speaker SPEAKER_17
transcript.pyannote[2469].start 11536.15221875
transcript.pyannote[2469].end 11536.82721875
transcript.pyannote[2470].speaker SPEAKER_17
transcript.pyannote[2470].start 11536.87784375
transcript.pyannote[2470].end 11538.10971875
transcript.pyannote[2471].speaker SPEAKER_12
transcript.pyannote[2471].start 11537.18159375
transcript.pyannote[2471].end 11537.31659375
transcript.pyannote[2472].speaker SPEAKER_12
transcript.pyannote[2472].start 11537.48534375
transcript.pyannote[2472].end 11543.59409375
transcript.pyannote[2473].speaker SPEAKER_17
transcript.pyannote[2473].start 11544.04971875
transcript.pyannote[2473].end 11545.85534375
transcript.pyannote[2474].speaker SPEAKER_12
transcript.pyannote[2474].start 11544.69096875
transcript.pyannote[2474].end 11544.91034375
transcript.pyannote[2475].speaker SPEAKER_17
transcript.pyannote[2475].start 11546.09159375
transcript.pyannote[2475].end 11562.66284375
transcript.pyannote[2476].speaker SPEAKER_16
transcript.pyannote[2476].start 11563.62471875
transcript.pyannote[2476].end 11565.85221875
transcript.pyannote[2477].speaker SPEAKER_16
transcript.pyannote[2477].start 11566.39221875
transcript.pyannote[2477].end 11568.33284375
transcript.pyannote[2478].speaker SPEAKER_16
transcript.pyannote[2478].start 11569.69971875
transcript.pyannote[2478].end 11570.71221875
transcript.pyannote[2479].speaker SPEAKER_16
transcript.pyannote[2479].start 11570.88096875
transcript.pyannote[2479].end 11571.87659375
transcript.pyannote[2480].speaker SPEAKER_16
transcript.pyannote[2480].start 11572.18034375
transcript.pyannote[2480].end 11574.17159375
transcript.pyannote[2481].speaker SPEAKER_16
transcript.pyannote[2481].start 11574.44159375
transcript.pyannote[2481].end 11575.16721875
transcript.pyannote[2482].speaker SPEAKER_16
transcript.pyannote[2482].start 11575.36971875
transcript.pyannote[2482].end 11576.56784375
transcript.pyannote[2483].speaker SPEAKER_16
transcript.pyannote[2483].start 11576.66909375
transcript.pyannote[2483].end 11577.79971875
transcript.pyannote[2484].speaker SPEAKER_16
transcript.pyannote[2484].start 11577.96846875
transcript.pyannote[2484].end 11580.70221875
transcript.pyannote[2485].speaker SPEAKER_16
transcript.pyannote[2485].start 11580.92159375
transcript.pyannote[2485].end 11581.79909375
transcript.pyannote[2486].speaker SPEAKER_16
transcript.pyannote[2486].start 11582.15346875
transcript.pyannote[2486].end 11584.31346875
transcript.pyannote[2487].speaker SPEAKER_16
transcript.pyannote[2487].start 11584.73534375
transcript.pyannote[2487].end 11586.11909375
transcript.pyannote[2488].speaker SPEAKER_17
transcript.pyannote[2488].start 11586.11909375
transcript.pyannote[2488].end 11630.73659375
transcript.pyannote[2489].speaker SPEAKER_17
transcript.pyannote[2489].start 11631.46221875
transcript.pyannote[2489].end 11639.86596875
transcript.pyannote[2490].speaker SPEAKER_17
transcript.pyannote[2490].start 11640.13596875
transcript.pyannote[2490].end 11640.81096875
transcript.pyannote[2491].speaker SPEAKER_17
transcript.pyannote[2491].start 11641.23284375
transcript.pyannote[2491].end 11643.54471875
transcript.pyannote[2492].speaker SPEAKER_08
transcript.pyannote[2492].start 11645.48534375
transcript.pyannote[2492].end 11649.28221875
transcript.pyannote[2493].speaker SPEAKER_08
transcript.pyannote[2493].start 11649.56909375
transcript.pyannote[2493].end 11650.27784375
transcript.pyannote[2494].speaker SPEAKER_08
transcript.pyannote[2494].start 11650.44659375
transcript.pyannote[2494].end 11653.34909375
transcript.pyannote[2495].speaker SPEAKER_08
transcript.pyannote[2495].start 11653.68659375
transcript.pyannote[2495].end 11654.61471875
transcript.pyannote[2496].speaker SPEAKER_08
transcript.pyannote[2496].start 11655.01971875
transcript.pyannote[2496].end 11660.43659375
transcript.pyannote[2497].speaker SPEAKER_08
transcript.pyannote[2497].start 11660.68971875
transcript.pyannote[2497].end 11662.74846875
transcript.pyannote[2498].speaker SPEAKER_08
transcript.pyannote[2498].start 11662.79909375
transcript.pyannote[2498].end 11668.46909375
transcript.pyannote[2499].speaker SPEAKER_08
transcript.pyannote[2499].start 11668.72221875
transcript.pyannote[2499].end 11671.82721875
transcript.pyannote[2500].speaker SPEAKER_17
transcript.pyannote[2500].start 11671.82721875
transcript.pyannote[2500].end 11679.40409375
transcript.pyannote[2501].speaker SPEAKER_08
transcript.pyannote[2501].start 11671.87784375
transcript.pyannote[2501].end 11672.31659375
transcript.pyannote[2502].speaker SPEAKER_08
transcript.pyannote[2502].start 11674.20659375
transcript.pyannote[2502].end 11675.69159375
transcript.pyannote[2503].speaker SPEAKER_17
transcript.pyannote[2503].start 11680.21409375
transcript.pyannote[2503].end 11681.98596875
transcript.pyannote[2504].speaker SPEAKER_17
transcript.pyannote[2504].start 11682.23909375
transcript.pyannote[2504].end 11709.93096875
transcript.pyannote[2505].speaker SPEAKER_08
transcript.pyannote[2505].start 11706.79221875
transcript.pyannote[2505].end 11718.14909375
transcript.pyannote[2506].speaker SPEAKER_17
transcript.pyannote[2506].start 11718.68909375
transcript.pyannote[2506].end 11735.98596875
transcript.pyannote[2507].speaker SPEAKER_08
transcript.pyannote[2507].start 11718.85784375
transcript.pyannote[2507].end 11721.59159375
transcript.pyannote[2508].speaker SPEAKER_08
transcript.pyannote[2508].start 11735.98596875
transcript.pyannote[2508].end 11749.11471875
transcript.pyannote[2509].speaker SPEAKER_17
transcript.pyannote[2509].start 11736.13784375
transcript.pyannote[2509].end 11736.25596875
transcript.pyannote[2510].speaker SPEAKER_17
transcript.pyannote[2510].start 11747.68034375
transcript.pyannote[2510].end 11748.05159375
transcript.pyannote[2511].speaker SPEAKER_08
transcript.pyannote[2511].start 11749.26659375
transcript.pyannote[2511].end 11749.51971875
transcript.pyannote[2512].speaker SPEAKER_08
transcript.pyannote[2512].start 11749.87409375
transcript.pyannote[2512].end 11749.92471875
transcript.pyannote[2513].speaker SPEAKER_17
transcript.pyannote[2513].start 11749.92471875
transcript.pyannote[2513].end 11749.94159375
transcript.pyannote[2514].speaker SPEAKER_08
transcript.pyannote[2514].start 11749.94159375
transcript.pyannote[2514].end 11749.97534375
transcript.pyannote[2515].speaker SPEAKER_17
transcript.pyannote[2515].start 11749.97534375
transcript.pyannote[2515].end 11750.02596875
transcript.pyannote[2516].speaker SPEAKER_08
transcript.pyannote[2516].start 11750.02596875
transcript.pyannote[2516].end 11753.55284375
transcript.pyannote[2517].speaker SPEAKER_17
transcript.pyannote[2517].start 11751.91596875
transcript.pyannote[2517].end 11762.64846875
transcript.pyannote[2518].speaker SPEAKER_16
transcript.pyannote[2518].start 11759.03721875
transcript.pyannote[2518].end 11764.65659375
transcript.pyannote[2519].speaker SPEAKER_16
transcript.pyannote[2519].start 11765.23034375
transcript.pyannote[2519].end 11770.03971875
transcript.pyannote[2520].speaker SPEAKER_16
transcript.pyannote[2520].start 11770.57971875
transcript.pyannote[2520].end 11771.50784375
transcript.pyannote[2521].speaker SPEAKER_16
transcript.pyannote[2521].start 11771.89596875
transcript.pyannote[2521].end 11772.55409375
transcript.pyannote[2522].speaker SPEAKER_17
transcript.pyannote[2522].start 11772.94221875
transcript.pyannote[2522].end 11782.24034375
transcript.pyannote[2523].speaker SPEAKER_17
transcript.pyannote[2523].start 11782.93221875
transcript.pyannote[2523].end 11793.47909375
transcript.pyannote[2524].speaker SPEAKER_16
transcript.pyannote[2524].start 11793.07409375
transcript.pyannote[2524].end 11798.59221875
transcript.pyannote[2525].speaker SPEAKER_17
transcript.pyannote[2525].start 11798.23784375
transcript.pyannote[2525].end 11798.55846875
transcript.pyannote[2526].speaker SPEAKER_17
transcript.pyannote[2526].start 11798.74409375
transcript.pyannote[2526].end 11804.27909375
transcript.pyannote[2527].speaker SPEAKER_17
transcript.pyannote[2527].start 11804.29596875
transcript.pyannote[2527].end 11807.02971875
transcript.pyannote[2528].speaker SPEAKER_17
transcript.pyannote[2528].start 11807.48534375
transcript.pyannote[2528].end 11820.66471875
transcript.pyannote[2529].speaker SPEAKER_17
transcript.pyannote[2529].start 11821.08659375
transcript.pyannote[2529].end 11835.58221875
transcript.pyannote[2530].speaker SPEAKER_16
transcript.pyannote[2530].start 11836.13909375
transcript.pyannote[2530].end 11837.13471875
transcript.pyannote[2531].speaker SPEAKER_17
transcript.pyannote[2531].start 11836.81409375
transcript.pyannote[2531].end 11848.18784375
transcript.pyannote[2532].speaker SPEAKER_17
transcript.pyannote[2532].start 11848.98096875
transcript.pyannote[2532].end 11858.61659375
transcript.pyannote[2533].speaker SPEAKER_16
transcript.pyannote[2533].start 11859.02159375
transcript.pyannote[2533].end 11859.29159375
transcript.pyannote[2534].speaker SPEAKER_16
transcript.pyannote[2534].start 11859.66284375
transcript.pyannote[2534].end 11862.73409375
transcript.pyannote[2535].speaker SPEAKER_17
transcript.pyannote[2535].start 11861.89034375
transcript.pyannote[2535].end 11862.07596875
transcript.pyannote[2536].speaker SPEAKER_16
transcript.pyannote[2536].start 11862.93659375
transcript.pyannote[2536].end 11867.32409375
transcript.pyannote[2537].speaker SPEAKER_17
transcript.pyannote[2537].start 11867.57721875
transcript.pyannote[2537].end 11877.41534375
transcript.pyannote[2538].speaker SPEAKER_16
transcript.pyannote[2538].start 11876.90909375
transcript.pyannote[2538].end 11876.92596875
transcript.pyannote[2539].speaker SPEAKER_16
transcript.pyannote[2539].start 11876.95971875
transcript.pyannote[2539].end 11877.31409375
transcript.pyannote[2540].speaker SPEAKER_16
transcript.pyannote[2540].start 11877.41534375
transcript.pyannote[2540].end 11877.43221875
transcript.pyannote[2541].speaker SPEAKER_17
transcript.pyannote[2541].start 11877.43221875
transcript.pyannote[2541].end 11877.44909375
transcript.pyannote[2542].speaker SPEAKER_16
transcript.pyannote[2542].start 11877.44909375
transcript.pyannote[2542].end 11882.91659375
transcript.pyannote[2543].speaker SPEAKER_17
transcript.pyannote[2543].start 11878.90034375
transcript.pyannote[2543].end 11880.97596875
transcript.pyannote[2544].speaker SPEAKER_17
transcript.pyannote[2544].start 11883.10221875
transcript.pyannote[2544].end 11884.55346875
transcript.pyannote[2545].speaker SPEAKER_17
transcript.pyannote[2545].start 11886.22409375
transcript.pyannote[2545].end 11898.76221875
transcript.pyannote[2546].speaker SPEAKER_17
transcript.pyannote[2546].start 11899.47096875
transcript.pyannote[2546].end 11900.11221875
transcript.pyannote[2547].speaker SPEAKER_17
transcript.pyannote[2547].start 11901.19221875
transcript.pyannote[2547].end 11902.28909375
transcript.pyannote[2548].speaker SPEAKER_17
transcript.pyannote[2548].start 11902.91346875
transcript.pyannote[2548].end 11904.55034375
transcript.pyannote[2549].speaker SPEAKER_17
transcript.pyannote[2549].start 11904.83721875
transcript.pyannote[2549].end 11909.52846875
transcript.pyannote[2550].speaker SPEAKER_16
transcript.pyannote[2550].start 11909.83221875
transcript.pyannote[2550].end 11919.13034375
transcript.pyannote[2551].speaker SPEAKER_17
transcript.pyannote[2551].start 11913.84846875
transcript.pyannote[2551].end 11916.68346875
transcript.pyannote[2552].speaker SPEAKER_17
transcript.pyannote[2552].start 11918.69159375
transcript.pyannote[2552].end 11921.27346875
transcript.pyannote[2553].speaker SPEAKER_16
transcript.pyannote[2553].start 11920.93596875
transcript.pyannote[2553].end 11921.77971875
transcript.pyannote[2554].speaker SPEAKER_16
transcript.pyannote[2554].start 11922.58971875
transcript.pyannote[2554].end 11923.80471875
transcript.pyannote[2555].speaker SPEAKER_16
transcript.pyannote[2555].start 11924.24346875
transcript.pyannote[2555].end 11927.66909375
transcript.pyannote[2556].speaker SPEAKER_17
transcript.pyannote[2556].start 11927.83784375
transcript.pyannote[2556].end 11954.87159375
transcript.pyannote[2557].speaker SPEAKER_16
transcript.pyannote[2557].start 11955.20909375
transcript.pyannote[2557].end 11968.37159375
transcript.pyannote[2558].speaker SPEAKER_17
transcript.pyannote[2558].start 11968.82721875
transcript.pyannote[2558].end 11993.44784375
transcript.pyannote[2559].speaker SPEAKER_30
transcript.pyannote[2559].start 11994.24096875
transcript.pyannote[2559].end 12004.33221875
transcript.pyannote[2560].speaker SPEAKER_30
transcript.pyannote[2560].start 12004.48409375
transcript.pyannote[2560].end 12004.97346875
transcript.pyannote[2561].speaker SPEAKER_30
transcript.pyannote[2561].start 12005.31096875
transcript.pyannote[2561].end 12013.09034375
transcript.pyannote[2562].speaker SPEAKER_30
transcript.pyannote[2562].start 12013.71471875
transcript.pyannote[2562].end 12018.59159375
transcript.pyannote[2563].speaker SPEAKER_30
transcript.pyannote[2563].start 12018.70971875
transcript.pyannote[2563].end 12026.79284375
transcript.pyannote[2564].speaker SPEAKER_00
transcript.pyannote[2564].start 12024.05909375
transcript.pyannote[2564].end 12024.64971875
transcript.pyannote[2565].speaker SPEAKER_30
transcript.pyannote[2565].start 12026.97846875
transcript.pyannote[2565].end 12037.47471875
transcript.pyannote[2566].speaker SPEAKER_17
transcript.pyannote[2566].start 12036.22596875
transcript.pyannote[2566].end 12049.23659375
transcript.pyannote[2567].speaker SPEAKER_17
transcript.pyannote[2567].start 12049.75971875
transcript.pyannote[2567].end 12051.17721875
transcript.pyannote[2568].speaker SPEAKER_17
transcript.pyannote[2568].start 12051.36284375
transcript.pyannote[2568].end 12053.06721875
transcript.pyannote[2569].speaker SPEAKER_17
transcript.pyannote[2569].start 12053.82659375
transcript.pyannote[2569].end 12055.68284375
transcript.pyannote[2570].speaker SPEAKER_17
transcript.pyannote[2570].start 12055.91909375
transcript.pyannote[2570].end 12063.68159375
transcript.pyannote[2571].speaker SPEAKER_30
transcript.pyannote[2571].start 12064.08659375
transcript.pyannote[2571].end 12066.07784375
transcript.pyannote[2572].speaker SPEAKER_17
transcript.pyannote[2572].start 12065.67284375
transcript.pyannote[2572].end 12084.70784375
transcript.pyannote[2573].speaker SPEAKER_30
transcript.pyannote[2573].start 12085.23096875
transcript.pyannote[2573].end 12088.57221875
transcript.pyannote[2574].speaker SPEAKER_30
transcript.pyannote[2574].start 12089.06159375
transcript.pyannote[2574].end 12103.40534375
transcript.pyannote[2575].speaker SPEAKER_17
transcript.pyannote[2575].start 12097.97159375
transcript.pyannote[2575].end 12110.22284375
transcript.pyannote[2576].speaker SPEAKER_16
transcript.pyannote[2576].start 12103.40534375
transcript.pyannote[2576].end 12103.99596875
transcript.pyannote[2577].speaker SPEAKER_30
transcript.pyannote[2577].start 12103.99596875
transcript.pyannote[2577].end 12104.01284375
transcript.pyannote[2578].speaker SPEAKER_16
transcript.pyannote[2578].start 12104.01284375
transcript.pyannote[2578].end 12104.04659375
transcript.pyannote[2579].speaker SPEAKER_16
transcript.pyannote[2579].start 12109.78409375
transcript.pyannote[2579].end 12115.69034375
transcript.pyannote[2580].speaker SPEAKER_17
transcript.pyannote[2580].start 12110.79659375
transcript.pyannote[2580].end 12112.09596875
transcript.pyannote[2581].speaker SPEAKER_16
transcript.pyannote[2581].start 12115.99409375
transcript.pyannote[2581].end 12119.75721875
transcript.pyannote[2582].speaker SPEAKER_16
transcript.pyannote[2582].start 12119.95971875
transcript.pyannote[2582].end 12122.30534375
transcript.pyannote[2583].speaker SPEAKER_16
transcript.pyannote[2583].start 12122.71034375
transcript.pyannote[2583].end 12123.68909375
transcript.pyannote[2584].speaker SPEAKER_16
transcript.pyannote[2584].start 12124.07721875
transcript.pyannote[2584].end 12124.93784375
transcript.pyannote[2585].speaker SPEAKER_16
transcript.pyannote[2585].start 12125.15721875
transcript.pyannote[2585].end 12126.81096875
transcript.pyannote[2586].speaker SPEAKER_16
transcript.pyannote[2586].start 12127.11471875
transcript.pyannote[2586].end 12128.51534375
transcript.pyannote[2587].speaker SPEAKER_16
transcript.pyannote[2587].start 12128.76846875
transcript.pyannote[2587].end 12130.20284375
transcript.pyannote[2588].speaker SPEAKER_16
transcript.pyannote[2588].start 12130.50659375
transcript.pyannote[2588].end 12133.24034375
transcript.pyannote[2589].speaker SPEAKER_17
transcript.pyannote[2589].start 12130.70909375
transcript.pyannote[2589].end 12131.92409375
transcript.pyannote[2590].speaker SPEAKER_17
transcript.pyannote[2590].start 12133.24034375
transcript.pyannote[2590].end 12141.84659375
transcript.pyannote[2591].speaker SPEAKER_16
transcript.pyannote[2591].start 12142.40346875
transcript.pyannote[2591].end 12145.20471875
transcript.pyannote[2592].speaker SPEAKER_17
transcript.pyannote[2592].start 12144.32721875
transcript.pyannote[2592].end 12161.18534375
transcript.pyannote[2593].speaker SPEAKER_17
transcript.pyannote[2593].start 12161.60721875
transcript.pyannote[2593].end 12162.65346875
transcript.pyannote[2594].speaker SPEAKER_24
transcript.pyannote[2594].start 12163.69971875
transcript.pyannote[2594].end 12167.02409375
transcript.pyannote[2595].speaker SPEAKER_17
transcript.pyannote[2595].start 12167.02409375
transcript.pyannote[2595].end 12169.42034375
transcript.pyannote[2596].speaker SPEAKER_24
transcript.pyannote[2596].start 12168.55971875
transcript.pyannote[2596].end 12174.28034375
transcript.pyannote[2597].speaker SPEAKER_24
transcript.pyannote[2597].start 12174.65159375
transcript.pyannote[2597].end 12192.89346875
transcript.pyannote[2598].speaker SPEAKER_17
transcript.pyannote[2598].start 12176.03534375
transcript.pyannote[2598].end 12176.08596875
transcript.pyannote[2599].speaker SPEAKER_17
transcript.pyannote[2599].start 12176.35596875
transcript.pyannote[2599].end 12176.49096875
transcript.pyannote[2600].speaker SPEAKER_34
transcript.pyannote[2600].start 12176.49096875
transcript.pyannote[2600].end 12177.03096875
transcript.pyannote[2601].speaker SPEAKER_17
transcript.pyannote[2601].start 12177.03096875
transcript.pyannote[2601].end 12177.50346875
transcript.pyannote[2602].speaker SPEAKER_34
transcript.pyannote[2602].start 12177.50346875
transcript.pyannote[2602].end 12177.73971875
transcript.pyannote[2603].speaker SPEAKER_34
transcript.pyannote[2603].start 12177.77346875
transcript.pyannote[2603].end 12179.47784375
transcript.pyannote[2604].speaker SPEAKER_25
transcript.pyannote[2604].start 12188.05034375
transcript.pyannote[2604].end 12188.06721875
transcript.pyannote[2605].speaker SPEAKER_17
transcript.pyannote[2605].start 12188.06721875
transcript.pyannote[2605].end 12188.47221875
transcript.pyannote[2606].speaker SPEAKER_17
transcript.pyannote[2606].start 12193.12971875
transcript.pyannote[2606].end 12205.78596875
transcript.pyannote[2607].speaker SPEAKER_24
transcript.pyannote[2607].start 12205.87034375
transcript.pyannote[2607].end 12210.56159375
transcript.pyannote[2608].speaker SPEAKER_17
transcript.pyannote[2608].start 12207.49034375
transcript.pyannote[2608].end 12207.82784375
transcript.pyannote[2609].speaker SPEAKER_17
transcript.pyannote[2609].start 12209.22846875
transcript.pyannote[2609].end 12209.73471875
transcript.pyannote[2610].speaker SPEAKER_17
transcript.pyannote[2610].start 12210.56159375
transcript.pyannote[2610].end 12213.21096875
transcript.pyannote[2611].speaker SPEAKER_24
transcript.pyannote[2611].start 12213.32909375
transcript.pyannote[2611].end 12213.71721875
transcript.pyannote[2612].speaker SPEAKER_17
transcript.pyannote[2612].start 12213.97034375
transcript.pyannote[2612].end 12215.45534375
transcript.pyannote[2613].speaker SPEAKER_17
transcript.pyannote[2613].start 12215.80971875
transcript.pyannote[2613].end 12218.50971875
transcript.pyannote[2614].speaker SPEAKER_24
transcript.pyannote[2614].start 12219.23534375
transcript.pyannote[2614].end 12255.90471875
transcript.pyannote[2615].speaker SPEAKER_17
transcript.pyannote[2615].start 12255.14534375
transcript.pyannote[2615].end 12259.14471875
transcript.pyannote[2616].speaker SPEAKER_24
transcript.pyannote[2616].start 12257.35596875
transcript.pyannote[2616].end 12257.37284375
transcript.pyannote[2617].speaker SPEAKER_24
transcript.pyannote[2617].start 12259.14471875
transcript.pyannote[2617].end 12264.08909375
transcript.pyannote[2618].speaker SPEAKER_24
transcript.pyannote[2618].start 12264.62909375
transcript.pyannote[2618].end 12286.51596875
transcript.pyannote[2619].speaker SPEAKER_17
transcript.pyannote[2619].start 12283.54596875
transcript.pyannote[2619].end 12288.91221875
transcript.pyannote[2620].speaker SPEAKER_17
transcript.pyannote[2620].start 12290.78534375
transcript.pyannote[2620].end 12295.40909375
transcript.pyannote[2621].speaker SPEAKER_24
transcript.pyannote[2621].start 12295.40909375
transcript.pyannote[2621].end 12319.96221875
transcript.pyannote[2622].speaker SPEAKER_17
transcript.pyannote[2622].start 12319.45596875
transcript.pyannote[2622].end 12325.26096875
transcript.pyannote[2623].speaker SPEAKER_17
transcript.pyannote[2623].start 12325.49721875
transcript.pyannote[2623].end 12327.37034375
transcript.pyannote[2624].speaker SPEAKER_24
transcript.pyannote[2624].start 12327.11721875
transcript.pyannote[2624].end 12338.76096875
transcript.pyannote[2625].speaker SPEAKER_17
transcript.pyannote[2625].start 12333.39471875
transcript.pyannote[2625].end 12333.69846875
transcript.pyannote[2626].speaker SPEAKER_17
transcript.pyannote[2626].start 12336.83721875
transcript.pyannote[2626].end 12339.75659375
transcript.pyannote[2627].speaker SPEAKER_24
transcript.pyannote[2627].start 12339.89159375
transcript.pyannote[2627].end 12339.94221875
transcript.pyannote[2628].speaker SPEAKER_17
transcript.pyannote[2628].start 12339.94221875
transcript.pyannote[2628].end 12349.03784375
transcript.pyannote[2629].speaker SPEAKER_24
transcript.pyannote[2629].start 12339.95909375
transcript.pyannote[2629].end 12341.84909375
transcript.pyannote[2630].speaker SPEAKER_17
transcript.pyannote[2630].start 12349.76346875
transcript.pyannote[2630].end 12350.32034375
transcript.pyannote[2631].speaker SPEAKER_24
transcript.pyannote[2631].start 12350.64096875
transcript.pyannote[2631].end 12362.67284375
transcript.pyannote[2632].speaker SPEAKER_17
transcript.pyannote[2632].start 12359.02784375
transcript.pyannote[2632].end 12359.43284375
transcript.pyannote[2633].speaker SPEAKER_17
transcript.pyannote[2633].start 12361.94721875
transcript.pyannote[2633].end 12392.01846875
transcript.pyannote[2634].speaker SPEAKER_17
transcript.pyannote[2634].start 12392.47409375
transcript.pyannote[2634].end 12402.39659375
transcript.pyannote[2635].speaker SPEAKER_16
transcript.pyannote[2635].start 12402.71721875
transcript.pyannote[2635].end 12405.56909375
transcript.pyannote[2636].speaker SPEAKER_16
transcript.pyannote[2636].start 12405.72096875
transcript.pyannote[2636].end 12410.44596875
transcript.pyannote[2637].speaker SPEAKER_16
transcript.pyannote[2637].start 12410.78346875
transcript.pyannote[2637].end 12415.62659375
transcript.pyannote[2638].speaker SPEAKER_16
transcript.pyannote[2638].start 12415.76159375
transcript.pyannote[2638].end 12418.19159375
transcript.pyannote[2639].speaker SPEAKER_15
transcript.pyannote[2639].start 12417.09471875
transcript.pyannote[2639].end 12417.21284375
transcript.pyannote[2640].speaker SPEAKER_16
transcript.pyannote[2640].start 12418.46159375
transcript.pyannote[2640].end 12419.65971875
transcript.pyannote[2641].speaker SPEAKER_16
transcript.pyannote[2641].start 12419.86221875
transcript.pyannote[2641].end 12422.08971875
transcript.pyannote[2642].speaker SPEAKER_16
transcript.pyannote[2642].start 12422.30909375
transcript.pyannote[2642].end 12423.08534375
transcript.pyannote[2643].speaker SPEAKER_16
transcript.pyannote[2643].start 12423.59159375
transcript.pyannote[2643].end 12425.54909375
transcript.pyannote[2644].speaker SPEAKER_16
transcript.pyannote[2644].start 12425.85284375
transcript.pyannote[2644].end 12428.90721875
transcript.pyannote[2645].speaker SPEAKER_17
transcript.pyannote[2645].start 12429.80159375
transcript.pyannote[2645].end 12497.60534375
transcript.pyannote[2646].speaker SPEAKER_17
transcript.pyannote[2646].start 12498.02721875
transcript.pyannote[2646].end 12526.84971875
transcript.pyannote[2647].speaker SPEAKER_17
transcript.pyannote[2647].start 12527.30534375
transcript.pyannote[2647].end 12532.72221875
transcript.pyannote[2648].speaker SPEAKER_17
transcript.pyannote[2648].start 12532.95846875
transcript.pyannote[2648].end 12541.36221875
transcript.pyannote[2649].speaker SPEAKER_13
transcript.pyannote[2649].start 12541.36221875
transcript.pyannote[2649].end 12542.08784375
transcript.pyannote[2650].speaker SPEAKER_13
transcript.pyannote[2650].start 12542.44221875
transcript.pyannote[2650].end 12546.47534375
transcript.pyannote[2651].speaker SPEAKER_26
transcript.pyannote[2651].start 12546.08721875
transcript.pyannote[2651].end 12546.40784375
transcript.pyannote[2652].speaker SPEAKER_13
transcript.pyannote[2652].start 12546.82971875
transcript.pyannote[2652].end 12553.47846875
transcript.pyannote[2653].speaker SPEAKER_26
transcript.pyannote[2653].start 12550.91346875
transcript.pyannote[2653].end 12551.33534375
transcript.pyannote[2654].speaker SPEAKER_26
transcript.pyannote[2654].start 12553.47846875
transcript.pyannote[2654].end 12553.78221875
transcript.pyannote[2655].speaker SPEAKER_13
transcript.pyannote[2655].start 12553.86659375
transcript.pyannote[2655].end 12556.24596875
transcript.pyannote[2656].speaker SPEAKER_13
transcript.pyannote[2656].start 12557.27534375
transcript.pyannote[2656].end 12558.11909375
transcript.pyannote[2657].speaker SPEAKER_26
transcript.pyannote[2657].start 12558.64221875
transcript.pyannote[2657].end 12558.94596875
transcript.pyannote[2658].speaker SPEAKER_13
transcript.pyannote[2658].start 12559.33409375
transcript.pyannote[2658].end 12564.17721875
transcript.pyannote[2659].speaker SPEAKER_26
transcript.pyannote[2659].start 12564.34596875
transcript.pyannote[2659].end 12564.73409375
transcript.pyannote[2660].speaker SPEAKER_13
transcript.pyannote[2660].start 12564.80159375
transcript.pyannote[2660].end 12571.28159375
transcript.pyannote[2661].speaker SPEAKER_13
transcript.pyannote[2661].start 12572.00721875
transcript.pyannote[2661].end 12592.17284375
transcript.pyannote[2662].speaker SPEAKER_26
transcript.pyannote[2662].start 12583.76909375
transcript.pyannote[2662].end 12584.07284375
transcript.pyannote[2663].speaker SPEAKER_26
transcript.pyannote[2663].start 12589.72596875
transcript.pyannote[2663].end 12589.75971875
transcript.pyannote[2664].speaker SPEAKER_31
transcript.pyannote[2664].start 12589.75971875
transcript.pyannote[2664].end 12589.97909375
transcript.pyannote[2665].speaker SPEAKER_00
transcript.pyannote[2665].start 12589.97909375
transcript.pyannote[2665].end 12589.99596875
transcript.pyannote[2666].speaker SPEAKER_13
transcript.pyannote[2666].start 12592.74659375
transcript.pyannote[2666].end 12598.95659375
transcript.pyannote[2667].speaker SPEAKER_13
transcript.pyannote[2667].start 12599.15909375
transcript.pyannote[2667].end 12604.64346875
transcript.pyannote[2668].speaker SPEAKER_17
transcript.pyannote[2668].start 12605.04846875
transcript.pyannote[2668].end 12634.61346875
transcript.pyannote[2669].speaker SPEAKER_13
transcript.pyannote[2669].start 12615.73034375
transcript.pyannote[2669].end 12617.97471875
transcript.pyannote[2670].speaker SPEAKER_25
transcript.pyannote[2670].start 12617.97471875
transcript.pyannote[2670].end 12618.97034375
transcript.pyannote[2671].speaker SPEAKER_00
transcript.pyannote[2671].start 12618.97034375
transcript.pyannote[2671].end 12621.82221875
transcript.pyannote[2672].speaker SPEAKER_15
transcript.pyannote[2672].start 12621.82221875
transcript.pyannote[2672].end 12622.32846875
transcript.pyannote[2673].speaker SPEAKER_00
transcript.pyannote[2673].start 12622.32846875
transcript.pyannote[2673].end 12622.46346875
transcript.pyannote[2674].speaker SPEAKER_13
transcript.pyannote[2674].start 12637.81971875
transcript.pyannote[2674].end 12644.67096875
transcript.pyannote[2675].speaker SPEAKER_17
transcript.pyannote[2675].start 12645.26159375
transcript.pyannote[2675].end 12647.08409375
transcript.pyannote[2676].speaker SPEAKER_13
transcript.pyannote[2676].start 12645.97034375
transcript.pyannote[2676].end 12646.72971875
transcript.pyannote[2677].speaker SPEAKER_17
transcript.pyannote[2677].start 12647.21909375
transcript.pyannote[2677].end 12648.55221875
transcript.pyannote[2678].speaker SPEAKER_17
transcript.pyannote[2678].start 12648.77159375
transcript.pyannote[2678].end 12649.17659375
transcript.pyannote[2679].speaker SPEAKER_13
transcript.pyannote[2679].start 12648.82221875
transcript.pyannote[2679].end 12649.48034375
transcript.pyannote[2680].speaker SPEAKER_13
transcript.pyannote[2680].start 12649.63221875
transcript.pyannote[2680].end 12650.15534375
transcript.pyannote[2681].speaker SPEAKER_17
transcript.pyannote[2681].start 12650.37471875
transcript.pyannote[2681].end 12659.53784375
transcript.pyannote[2682].speaker SPEAKER_13
transcript.pyannote[2682].start 12651.82596875
transcript.pyannote[2682].end 12652.63596875
transcript.pyannote[2683].speaker SPEAKER_13
transcript.pyannote[2683].start 12654.03659375
transcript.pyannote[2683].end 12655.74096875
transcript.pyannote[2684].speaker SPEAKER_13
transcript.pyannote[2684].start 12658.50846875
transcript.pyannote[2684].end 12668.65034375
transcript.pyannote[2685].speaker SPEAKER_17
transcript.pyannote[2685].start 12664.46534375
transcript.pyannote[2685].end 12664.92096875
transcript.pyannote[2686].speaker SPEAKER_17
transcript.pyannote[2686].start 12666.49034375
transcript.pyannote[2686].end 12666.69284375
transcript.pyannote[2687].speaker SPEAKER_17
transcript.pyannote[2687].start 12668.92034375
transcript.pyannote[2687].end 12670.91159375
transcript.pyannote[2688].speaker SPEAKER_13
transcript.pyannote[2688].start 12670.91159375
transcript.pyannote[2688].end 12671.35034375
transcript.pyannote[2689].speaker SPEAKER_17
transcript.pyannote[2689].start 12671.35034375
transcript.pyannote[2689].end 12672.02534375
transcript.pyannote[2690].speaker SPEAKER_13
transcript.pyannote[2690].start 12671.41784375
transcript.pyannote[2690].end 12671.89034375
transcript.pyannote[2691].speaker SPEAKER_13
transcript.pyannote[2691].start 12672.02534375
transcript.pyannote[2691].end 12675.07971875
transcript.pyannote[2692].speaker SPEAKER_17
transcript.pyannote[2692].start 12672.24471875
transcript.pyannote[2692].end 12672.63284375
transcript.pyannote[2693].speaker SPEAKER_17
transcript.pyannote[2693].start 12675.01221875
transcript.pyannote[2693].end 12681.15471875
transcript.pyannote[2694].speaker SPEAKER_13
transcript.pyannote[2694].start 12680.24346875
transcript.pyannote[2694].end 12683.78721875
transcript.pyannote[2695].speaker SPEAKER_17
transcript.pyannote[2695].start 12682.11659375
transcript.pyannote[2695].end 12683.48346875
transcript.pyannote[2696].speaker SPEAKER_17
transcript.pyannote[2696].start 12684.39471875
transcript.pyannote[2696].end 12697.94534375
transcript.pyannote[2697].speaker SPEAKER_17
transcript.pyannote[2697].start 12698.31659375
transcript.pyannote[2697].end 12703.09221875
transcript.pyannote[2698].speaker SPEAKER_17
transcript.pyannote[2698].start 12703.17659375
transcript.pyannote[2698].end 12706.11284375
transcript.pyannote[2699].speaker SPEAKER_17
transcript.pyannote[2699].start 12706.60221875
transcript.pyannote[2699].end 12710.16284375
transcript.pyannote[2700].speaker SPEAKER_13
transcript.pyannote[2700].start 12710.41596875
transcript.pyannote[2700].end 12716.01846875
transcript.pyannote[2701].speaker SPEAKER_13
transcript.pyannote[2701].start 12716.23784375
transcript.pyannote[2701].end 12722.17784375
transcript.pyannote[2702].speaker SPEAKER_13
transcript.pyannote[2702].start 12722.39721875
transcript.pyannote[2702].end 12724.13534375
transcript.pyannote[2703].speaker SPEAKER_17
transcript.pyannote[2703].start 12725.29971875
transcript.pyannote[2703].end 12739.20471875
transcript.pyannote[2704].speaker SPEAKER_17
transcript.pyannote[2704].start 12739.62659375
transcript.pyannote[2704].end 12741.71909375
transcript.pyannote[2705].speaker SPEAKER_17
transcript.pyannote[2705].start 12742.07346875
transcript.pyannote[2705].end 12746.91659375
transcript.pyannote[2706].speaker SPEAKER_17
transcript.pyannote[2706].start 12747.74346875
transcript.pyannote[2706].end 12748.50284375
transcript.pyannote[2707].speaker SPEAKER_17
transcript.pyannote[2707].start 12749.11034375
transcript.pyannote[2707].end 12751.06784375
transcript.pyannote[2708].speaker SPEAKER_17
transcript.pyannote[2708].start 12751.69221875
transcript.pyannote[2708].end 12753.46409375
transcript.pyannote[2709].speaker SPEAKER_17
transcript.pyannote[2709].start 12753.63284375
transcript.pyannote[2709].end 12764.36534375
transcript.pyannote[2710].speaker SPEAKER_16
transcript.pyannote[2710].start 12765.20909375
transcript.pyannote[2710].end 12774.11909375
transcript.pyannote[2711].speaker SPEAKER_17
transcript.pyannote[2711].start 12769.37721875
transcript.pyannote[2711].end 12769.81596875
transcript.pyannote[2712].speaker SPEAKER_16
transcript.pyannote[2712].start 12774.82784375
transcript.pyannote[2712].end 12778.08471875
transcript.pyannote[2713].speaker SPEAKER_17
transcript.pyannote[2713].start 12778.08471875
transcript.pyannote[2713].end 12786.79221875
transcript.pyannote[2714].speaker SPEAKER_16
transcript.pyannote[2714].start 12778.10159375
transcript.pyannote[2714].end 12778.21971875
transcript.pyannote[2715].speaker SPEAKER_16
transcript.pyannote[2715].start 12778.91159375
transcript.pyannote[2715].end 12779.02971875
transcript.pyannote[2716].speaker SPEAKER_16
transcript.pyannote[2716].start 12786.75846875
transcript.pyannote[2716].end 12788.76659375
transcript.pyannote[2717].speaker SPEAKER_17
transcript.pyannote[2717].start 12789.22221875
transcript.pyannote[2717].end 12810.11346875
transcript.pyannote[2718].speaker SPEAKER_16
transcript.pyannote[2718].start 12811.09221875
transcript.pyannote[2718].end 12827.37659375
transcript.pyannote[2719].speaker SPEAKER_17
transcript.pyannote[2719].start 12825.01409375
transcript.pyannote[2719].end 12865.86846875
transcript.pyannote[2720].speaker SPEAKER_16
transcript.pyannote[2720].start 12865.96971875
transcript.pyannote[2720].end 12870.57659375
transcript.pyannote[2721].speaker SPEAKER_17
transcript.pyannote[2721].start 12868.02846875
transcript.pyannote[2721].end 12868.56846875
transcript.pyannote[2722].speaker SPEAKER_17
transcript.pyannote[2722].start 12870.88034375
transcript.pyannote[2722].end 12873.04034375
transcript.pyannote[2723].speaker SPEAKER_17
transcript.pyannote[2723].start 12873.95159375
transcript.pyannote[2723].end 12889.83096875
transcript.pyannote[2724].speaker SPEAKER_16
transcript.pyannote[2724].start 12889.45971875
transcript.pyannote[2724].end 12891.75471875
transcript.pyannote[2725].speaker SPEAKER_16
transcript.pyannote[2725].start 12892.46346875
transcript.pyannote[2725].end 12895.18034375
transcript.pyannote[2726].speaker SPEAKER_17
transcript.pyannote[2726].start 12893.50971875
transcript.pyannote[2726].end 12895.21409375
transcript.pyannote[2727].speaker SPEAKER_16
transcript.pyannote[2727].start 12895.21409375
transcript.pyannote[2727].end 12896.63159375
transcript.pyannote[2728].speaker SPEAKER_17
transcript.pyannote[2728].start 12896.71596875
transcript.pyannote[2728].end 12911.09346875
transcript.pyannote[2729].speaker SPEAKER_16
transcript.pyannote[2729].start 12911.93721875
transcript.pyannote[2729].end 12913.87784375
transcript.pyannote[2730].speaker SPEAKER_17
transcript.pyannote[2730].start 12913.10159375
transcript.pyannote[2730].end 12918.38346875
transcript.pyannote[2731].speaker SPEAKER_16
transcript.pyannote[2731].start 12918.41721875
transcript.pyannote[2731].end 12918.60284375
transcript.pyannote[2732].speaker SPEAKER_15
transcript.pyannote[2732].start 12966.07221875
transcript.pyannote[2732].end 12970.03784375
transcript.pyannote[2733].speaker SPEAKER_07
transcript.pyannote[2733].start 12975.87659375
transcript.pyannote[2733].end 12980.50034375
transcript.pyannote[2734].speaker SPEAKER_07
transcript.pyannote[2734].start 12980.82096875
transcript.pyannote[2734].end 12985.84971875
transcript.pyannote[2735].speaker SPEAKER_07
transcript.pyannote[2735].start 12986.37284375
transcript.pyannote[2735].end 12988.53284375
transcript.pyannote[2736].speaker SPEAKER_07
transcript.pyannote[2736].start 12988.81971875
transcript.pyannote[2736].end 12989.73096875
transcript.pyannote[2737].speaker SPEAKER_07
transcript.pyannote[2737].start 12989.78159375
transcript.pyannote[2737].end 12993.88221875
transcript.pyannote[2738].speaker SPEAKER_07
transcript.pyannote[2738].start 21644.37846875
transcript.pyannote[2738].end 21647.63534375
transcript.pyannote[2739].speaker SPEAKER_07
transcript.pyannote[2739].start 21648.47909375
transcript.pyannote[2739].end 21655.00971875
transcript.pyannote[2740].speaker SPEAKER_07
transcript.pyannote[2740].start 21657.77721875
transcript.pyannote[2740].end 21658.97534375
transcript.pyannote[2741].speaker SPEAKER_07
transcript.pyannote[2741].start 21659.78534375
transcript.pyannote[2741].end 21664.18971875
transcript.pyannote[2742].speaker SPEAKER_05
transcript.pyannote[2742].start 21679.36034375
transcript.pyannote[2742].end 21680.25471875
transcript.pyannote[2743].speaker SPEAKER_05
transcript.pyannote[2743].start 21680.69346875
transcript.pyannote[2743].end 21684.79409375
transcript.pyannote[2744].speaker SPEAKER_07
transcript.pyannote[2744].start 21684.79409375
transcript.pyannote[2744].end 21686.36346875
transcript.pyannote[2745].speaker SPEAKER_07
transcript.pyannote[2745].start 21686.54909375
transcript.pyannote[2745].end 21691.24034375
transcript.pyannote[2746].speaker SPEAKER_05
transcript.pyannote[2746].start 21687.96659375
transcript.pyannote[2746].end 21687.98346875
transcript.pyannote[2747].speaker SPEAKER_04
transcript.pyannote[2747].start 21687.98346875
transcript.pyannote[2747].end 21688.67534375
transcript.pyannote[2748].speaker SPEAKER_04
transcript.pyannote[2748].start 21691.37534375
transcript.pyannote[2748].end 21692.47221875
transcript.pyannote[2749].speaker SPEAKER_07
transcript.pyannote[2749].start 21694.46346875
transcript.pyannote[2749].end 21694.83471875
transcript.pyannote[2750].speaker SPEAKER_07
transcript.pyannote[2750].start 21697.99034375
transcript.pyannote[2750].end 21699.01971875
transcript.pyannote[2751].speaker SPEAKER_04
transcript.pyannote[2751].start 21698.95221875
transcript.pyannote[2751].end 21699.98159375
transcript.pyannote[2752].speaker SPEAKER_07
transcript.pyannote[2752].start 21700.53846875
transcript.pyannote[2752].end 21700.87596875
transcript.pyannote[2753].speaker SPEAKER_07
transcript.pyannote[2753].start 21701.95596875
transcript.pyannote[2753].end 21704.14971875
transcript.pyannote[2754].speaker SPEAKER_04
transcript.pyannote[2754].start 21703.17096875
transcript.pyannote[2754].end 21703.40721875
transcript.pyannote[2755].speaker SPEAKER_04
transcript.pyannote[2755].start 21703.71096875
transcript.pyannote[2755].end 21705.06096875
transcript.pyannote[2756].speaker SPEAKER_07
transcript.pyannote[2756].start 21705.28034375
transcript.pyannote[2756].end 21707.00159375
transcript.pyannote[2757].speaker SPEAKER_07
transcript.pyannote[2757].start 21708.63846875
transcript.pyannote[2757].end 21708.95909375
transcript.pyannote[2758].speaker SPEAKER_07
transcript.pyannote[2758].start 21709.43159375
transcript.pyannote[2758].end 21710.08971875
transcript.pyannote[2759].speaker SPEAKER_02
transcript.pyannote[2759].start 21709.70159375
transcript.pyannote[2759].end 21709.73534375
transcript.pyannote[2760].speaker SPEAKER_04
transcript.pyannote[2760].start 21709.73534375
transcript.pyannote[2760].end 21709.75221875
transcript.pyannote[2761].speaker SPEAKER_02
transcript.pyannote[2761].start 21709.75221875
transcript.pyannote[2761].end 21710.15721875
transcript.pyannote[2762].speaker SPEAKER_04
transcript.pyannote[2762].start 21710.15721875
transcript.pyannote[2762].end 21710.47784375
transcript.pyannote[2763].speaker SPEAKER_02
transcript.pyannote[2763].start 21710.47784375
transcript.pyannote[2763].end 21711.47346875
transcript.pyannote[2764].speaker SPEAKER_07
transcript.pyannote[2764].start 21712.95846875
transcript.pyannote[2764].end 21713.97096875
transcript.pyannote[2765].speaker SPEAKER_05
transcript.pyannote[2765].start 21714.20721875
transcript.pyannote[2765].end 21714.27471875
transcript.pyannote[2766].speaker SPEAKER_02
transcript.pyannote[2766].start 21714.27471875
transcript.pyannote[2766].end 21714.29159375
transcript.pyannote[2767].speaker SPEAKER_05
transcript.pyannote[2767].start 21714.29159375
transcript.pyannote[2767].end 21714.37596875
transcript.pyannote[2768].speaker SPEAKER_05
transcript.pyannote[2768].start 21714.49409375
transcript.pyannote[2768].end 21714.71346875
transcript.pyannote[2769].speaker SPEAKER_07
transcript.pyannote[2769].start 21714.71346875
transcript.pyannote[2769].end 21715.54034375
transcript.pyannote[2770].speaker SPEAKER_05
transcript.pyannote[2770].start 21714.73034375
transcript.pyannote[2770].end 21714.93284375
transcript.pyannote[2771].speaker SPEAKER_05
transcript.pyannote[2771].start 21716.94096875
transcript.pyannote[2771].end 21718.22346875
transcript.pyannote[2772].speaker SPEAKER_07
transcript.pyannote[2772].start 21717.34596875
transcript.pyannote[2772].end 21718.00409375
transcript.pyannote[2773].speaker SPEAKER_05
transcript.pyannote[2773].start 21719.16846875
transcript.pyannote[2773].end 21746.01659375
transcript.pyannote[2774].speaker SPEAKER_05
transcript.pyannote[2774].start 21746.13471875
transcript.pyannote[2774].end 21751.04534375
transcript.pyannote[2775].speaker SPEAKER_05
transcript.pyannote[2775].start 21751.39971875
transcript.pyannote[2775].end 21759.87096875
transcript.pyannote[2776].speaker SPEAKER_00
transcript.pyannote[2776].start 21758.77409375
transcript.pyannote[2776].end 21759.07784375
transcript.pyannote[2777].speaker SPEAKER_05
transcript.pyannote[2777].start 21760.25909375
transcript.pyannote[2777].end 21786.55034375
transcript.pyannote[2778].speaker SPEAKER_16
transcript.pyannote[2778].start 21787.14096875
transcript.pyannote[2778].end 21787.61346875
transcript.pyannote[2779].speaker SPEAKER_16
transcript.pyannote[2779].start 21788.42346875
transcript.pyannote[2779].end 21791.86596875
transcript.pyannote[2780].speaker SPEAKER_16
transcript.pyannote[2780].start 21792.42284375
transcript.pyannote[2780].end 21794.56596875
transcript.pyannote[2781].speaker SPEAKER_16
transcript.pyannote[2781].start 21794.81909375
transcript.pyannote[2781].end 21795.46034375
transcript.pyannote[2782].speaker SPEAKER_16
transcript.pyannote[2782].start 21795.91596875
transcript.pyannote[2782].end 21797.40096875
transcript.pyannote[2783].speaker SPEAKER_16
transcript.pyannote[2783].start 21797.50221875
transcript.pyannote[2783].end 21799.00409375
transcript.pyannote[2784].speaker SPEAKER_16
transcript.pyannote[2784].start 21799.05471875
transcript.pyannote[2784].end 21800.80971875
transcript.pyannote[2785].speaker SPEAKER_16
transcript.pyannote[2785].start 21800.96159375
transcript.pyannote[2785].end 21802.26096875
transcript.pyannote[2786].speaker SPEAKER_16
transcript.pyannote[2786].start 21802.48034375
transcript.pyannote[2786].end 21805.95659375
transcript.pyannote[2787].speaker SPEAKER_16
transcript.pyannote[2787].start 21806.42909375
transcript.pyannote[2787].end 21811.32284375
transcript.pyannote[2788].speaker SPEAKER_16
transcript.pyannote[2788].start 21811.60971875
transcript.pyannote[2788].end 21816.46971875
transcript.pyannote[2789].speaker SPEAKER_16
transcript.pyannote[2789].start 21816.75659375
transcript.pyannote[2789].end 21821.98784375
transcript.pyannote[2790].speaker SPEAKER_05
transcript.pyannote[2790].start 21821.98784375
transcript.pyannote[2790].end 21830.77971875
transcript.pyannote[2791].speaker SPEAKER_16
transcript.pyannote[2791].start 21830.77971875
transcript.pyannote[2791].end 21832.53471875
transcript.pyannote[2792].speaker SPEAKER_16
transcript.pyannote[2792].start 21832.63596875
transcript.pyannote[2792].end 21837.07409375
transcript.pyannote[2793].speaker SPEAKER_05
transcript.pyannote[2793].start 21837.46221875
transcript.pyannote[2793].end 21980.02221875
transcript.pyannote[2794].speaker SPEAKER_16
transcript.pyannote[2794].start 21980.62971875
transcript.pyannote[2794].end 21983.21159375
transcript.pyannote[2795].speaker SPEAKER_16
transcript.pyannote[2795].start 21983.93721875
transcript.pyannote[2795].end 21985.20284375
transcript.pyannote[2796].speaker SPEAKER_16
transcript.pyannote[2796].start 21986.08034375
transcript.pyannote[2796].end 21992.05409375
transcript.pyannote[2797].speaker SPEAKER_16
transcript.pyannote[2797].start 21992.12159375
transcript.pyannote[2797].end 21995.56409375
transcript.pyannote[2798].speaker SPEAKER_16
transcript.pyannote[2798].start 21995.76659375
transcript.pyannote[2798].end 22005.30096875
transcript.pyannote[2799].speaker SPEAKER_16
transcript.pyannote[2799].start 22005.80721875
transcript.pyannote[2799].end 22007.74784375
transcript.pyannote[2800].speaker SPEAKER_16
transcript.pyannote[2800].start 22007.86596875
transcript.pyannote[2800].end 22010.73471875
transcript.pyannote[2801].speaker SPEAKER_16
transcript.pyannote[2801].start 22011.27471875
transcript.pyannote[2801].end 22012.82721875
transcript.pyannote[2802].speaker SPEAKER_16
transcript.pyannote[2802].start 22013.28284375
transcript.pyannote[2802].end 22017.07971875
transcript.pyannote[2803].speaker SPEAKER_16
transcript.pyannote[2803].start 22017.24846875
transcript.pyannote[2803].end 22018.71659375
transcript.pyannote[2804].speaker SPEAKER_16
transcript.pyannote[2804].start 22019.15534375
transcript.pyannote[2804].end 22022.54721875
transcript.pyannote[2805].speaker SPEAKER_16
transcript.pyannote[2805].start 22023.00284375
transcript.pyannote[2805].end 22024.36971875
transcript.pyannote[2806].speaker SPEAKER_16
transcript.pyannote[2806].start 22024.48784375
transcript.pyannote[2806].end 22028.20034375
transcript.pyannote[2807].speaker SPEAKER_16
transcript.pyannote[2807].start 22028.43659375
transcript.pyannote[2807].end 22031.64284375
transcript.pyannote[2808].speaker SPEAKER_16
transcript.pyannote[2808].start 22031.79471875
transcript.pyannote[2808].end 22033.48221875
transcript.pyannote[2809].speaker SPEAKER_16
transcript.pyannote[2809].start 22033.65096875
transcript.pyannote[2809].end 22034.54534375
transcript.pyannote[2810].speaker SPEAKER_16
transcript.pyannote[2810].start 22034.57909375
transcript.pyannote[2810].end 22035.50721875
transcript.pyannote[2811].speaker SPEAKER_16
transcript.pyannote[2811].start 22035.82784375
transcript.pyannote[2811].end 22040.40096875
transcript.pyannote[2812].speaker SPEAKER_16
transcript.pyannote[2812].start 22040.75534375
transcript.pyannote[2812].end 22043.45534375
transcript.pyannote[2813].speaker SPEAKER_16
transcript.pyannote[2813].start 22043.92784375
transcript.pyannote[2813].end 22046.67846875
transcript.pyannote[2814].speaker SPEAKER_16
transcript.pyannote[2814].start 22046.96534375
transcript.pyannote[2814].end 22057.20846875
transcript.pyannote[2815].speaker SPEAKER_16
transcript.pyannote[2815].start 22057.61346875
transcript.pyannote[2815].end 22058.76096875
transcript.pyannote[2816].speaker SPEAKER_05
transcript.pyannote[2816].start 22058.76096875
transcript.pyannote[2816].end 22080.98534375
transcript.pyannote[2817].speaker SPEAKER_16
transcript.pyannote[2817].start 22064.07659375
transcript.pyannote[2817].end 22064.11034375
transcript.pyannote[2818].speaker SPEAKER_25
transcript.pyannote[2818].start 22064.11034375
transcript.pyannote[2818].end 22064.63346875
transcript.pyannote[2819].speaker SPEAKER_16
transcript.pyannote[2819].start 22064.63346875
transcript.pyannote[2819].end 22064.66721875
transcript.pyannote[2820].speaker SPEAKER_25
transcript.pyannote[2820].start 22064.66721875
transcript.pyannote[2820].end 22064.70096875
transcript.pyannote[2821].speaker SPEAKER_16
transcript.pyannote[2821].start 22080.27659375
transcript.pyannote[2821].end 22081.93034375
transcript.pyannote[2822].speaker SPEAKER_05
transcript.pyannote[2822].start 22081.45784375
transcript.pyannote[2822].end 22096.84784375
transcript.pyannote[2823].speaker SPEAKER_25
transcript.pyannote[2823].start 22096.39221875
transcript.pyannote[2823].end 22097.06721875
transcript.pyannote[2824].speaker SPEAKER_05
transcript.pyannote[2824].start 22096.96596875
transcript.pyannote[2824].end 22133.46659375
transcript.pyannote[2825].speaker SPEAKER_16
transcript.pyannote[2825].start 22134.24284375
transcript.pyannote[2825].end 22138.63034375
transcript.pyannote[2826].speaker SPEAKER_05
transcript.pyannote[2826].start 22138.57971875
transcript.pyannote[2826].end 22150.42596875
transcript.pyannote[2827].speaker SPEAKER_16
transcript.pyannote[2827].start 22142.00534375
transcript.pyannote[2827].end 22142.27534375
transcript.pyannote[2828].speaker SPEAKER_05
transcript.pyannote[2828].start 22151.43846875
transcript.pyannote[2828].end 22155.67409375
transcript.pyannote[2829].speaker SPEAKER_16
transcript.pyannote[2829].start 22155.45471875
transcript.pyannote[2829].end 22163.70659375
transcript.pyannote[2830].speaker SPEAKER_16
transcript.pyannote[2830].start 22163.77409375
transcript.pyannote[2830].end 22165.91721875
transcript.pyannote[2831].speaker SPEAKER_16
transcript.pyannote[2831].start 22166.38971875
transcript.pyannote[2831].end 22167.36846875
transcript.pyannote[2832].speaker SPEAKER_16
transcript.pyannote[2832].start 22167.57096875
transcript.pyannote[2832].end 22172.41409375
transcript.pyannote[2833].speaker SPEAKER_16
transcript.pyannote[2833].start 22172.78534375
transcript.pyannote[2833].end 22175.67096875
transcript.pyannote[2834].speaker SPEAKER_16
transcript.pyannote[2834].start 22176.19409375
transcript.pyannote[2834].end 22176.85221875
transcript.pyannote[2835].speaker SPEAKER_16
transcript.pyannote[2835].start 22177.12221875
transcript.pyannote[2835].end 22178.53971875
transcript.pyannote[2836].speaker SPEAKER_16
transcript.pyannote[2836].start 22179.01221875
transcript.pyannote[2836].end 22181.17221875
transcript.pyannote[2837].speaker SPEAKER_16
transcript.pyannote[2837].start 22181.39159375
transcript.pyannote[2837].end 22186.23471875
transcript.pyannote[2838].speaker SPEAKER_16
transcript.pyannote[2838].start 22186.79159375
transcript.pyannote[2838].end 22187.16284375
transcript.pyannote[2839].speaker SPEAKER_16
transcript.pyannote[2839].start 22187.46659375
transcript.pyannote[2839].end 22189.72784375
transcript.pyannote[2840].speaker SPEAKER_16
transcript.pyannote[2840].start 22189.98096875
transcript.pyannote[2840].end 22192.93409375
transcript.pyannote[2841].speaker SPEAKER_16
transcript.pyannote[2841].start 22193.23784375
transcript.pyannote[2841].end 22196.47784375
transcript.pyannote[2842].speaker SPEAKER_16
transcript.pyannote[2842].start 22196.71409375
transcript.pyannote[2842].end 22201.54034375
transcript.pyannote[2843].speaker SPEAKER_16
transcript.pyannote[2843].start 22201.72596875
transcript.pyannote[2843].end 22208.52659375
transcript.pyannote[2844].speaker SPEAKER_16
transcript.pyannote[2844].start 22208.88096875
transcript.pyannote[2844].end 22214.43284375
transcript.pyannote[2845].speaker SPEAKER_16
transcript.pyannote[2845].start 22214.63534375
transcript.pyannote[2845].end 22216.30596875
transcript.pyannote[2846].speaker SPEAKER_16
transcript.pyannote[2846].start 22216.35659375
transcript.pyannote[2846].end 22219.32659375
transcript.pyannote[2847].speaker SPEAKER_05
transcript.pyannote[2847].start 22219.54596875
transcript.pyannote[2847].end 22235.49284375
transcript.pyannote[2848].speaker SPEAKER_16
transcript.pyannote[2848].start 22225.77284375
transcript.pyannote[2848].end 22228.03409375
transcript.pyannote[2849].speaker SPEAKER_07
transcript.pyannote[2849].start 22236.18471875
transcript.pyannote[2849].end 22237.55159375
transcript.pyannote[2850].speaker SPEAKER_05
transcript.pyannote[2850].start 22248.31784375
transcript.pyannote[2850].end 22248.36846875
transcript.pyannote[2851].speaker SPEAKER_26
transcript.pyannote[2851].start 22248.36846875
transcript.pyannote[2851].end 22248.52034375
transcript.pyannote[2852].speaker SPEAKER_05
transcript.pyannote[2852].start 22248.82409375
transcript.pyannote[2852].end 22249.36409375
transcript.pyannote[2853].speaker SPEAKER_05
transcript.pyannote[2853].start 22250.05596875
transcript.pyannote[2853].end 22291.33221875
transcript.pyannote[2854].speaker SPEAKER_16
transcript.pyannote[2854].start 22292.66534375
transcript.pyannote[2854].end 22297.47471875
transcript.pyannote[2855].speaker SPEAKER_22
transcript.pyannote[2855].start 22296.93471875
transcript.pyannote[2855].end 22316.99909375
transcript.pyannote[2856].speaker SPEAKER_05
transcript.pyannote[2856].start 22317.11721875
transcript.pyannote[2856].end 22362.56159375
transcript.pyannote[2857].speaker SPEAKER_04
transcript.pyannote[2857].start 22322.60159375
transcript.pyannote[2857].end 22323.02346875
transcript.pyannote[2858].speaker SPEAKER_16
transcript.pyannote[2858].start 22363.15221875
transcript.pyannote[2858].end 22365.02534375
transcript.pyannote[2859].speaker SPEAKER_16
transcript.pyannote[2859].start 22365.29534375
transcript.pyannote[2859].end 22368.14721875
transcript.pyannote[2860].speaker SPEAKER_16
transcript.pyannote[2860].start 22368.26534375
transcript.pyannote[2860].end 22369.09221875
transcript.pyannote[2861].speaker SPEAKER_16
transcript.pyannote[2861].start 22369.58159375
transcript.pyannote[2861].end 22369.85159375
transcript.pyannote[2862].speaker SPEAKER_16
transcript.pyannote[2862].start 22370.37471875
transcript.pyannote[2862].end 22373.41221875
transcript.pyannote[2863].speaker SPEAKER_16
transcript.pyannote[2863].start 22373.51346875
transcript.pyannote[2863].end 22375.58909375
transcript.pyannote[2864].speaker SPEAKER_16
transcript.pyannote[2864].start 22376.07846875
transcript.pyannote[2864].end 22377.42846875
transcript.pyannote[2865].speaker SPEAKER_16
transcript.pyannote[2865].start 22377.78284375
transcript.pyannote[2865].end 22378.81221875
transcript.pyannote[2866].speaker SPEAKER_16
transcript.pyannote[2866].start 22378.96409375
transcript.pyannote[2866].end 22380.16221875
transcript.pyannote[2867].speaker SPEAKER_16
transcript.pyannote[2867].start 22380.80346875
transcript.pyannote[2867].end 22382.44034375
transcript.pyannote[2868].speaker SPEAKER_16
transcript.pyannote[2868].start 22382.98034375
transcript.pyannote[2868].end 22385.69721875
transcript.pyannote[2869].speaker SPEAKER_16
transcript.pyannote[2869].start 22386.03471875
transcript.pyannote[2869].end 22387.11471875
transcript.pyannote[2870].speaker SPEAKER_16
transcript.pyannote[2870].start 22387.33409375
transcript.pyannote[2870].end 22389.69659375
transcript.pyannote[2871].speaker SPEAKER_16
transcript.pyannote[2871].start 22389.96659375
transcript.pyannote[2871].end 22393.22346875
transcript.pyannote[2872].speaker SPEAKER_16
transcript.pyannote[2872].start 22393.54409375
transcript.pyannote[2872].end 22397.64471875
transcript.pyannote[2873].speaker SPEAKER_16
transcript.pyannote[2873].start 22397.96534375
transcript.pyannote[2873].end 22404.32721875
transcript.pyannote[2874].speaker SPEAKER_05
transcript.pyannote[2874].start 22403.09534375
transcript.pyannote[2874].end 22403.48346875
transcript.pyannote[2875].speaker SPEAKER_05
transcript.pyannote[2875].start 22404.10784375
transcript.pyannote[2875].end 22409.20409375
transcript.pyannote[2876].speaker SPEAKER_05
transcript.pyannote[2876].start 22409.33909375
transcript.pyannote[2876].end 22420.13909375
transcript.pyannote[2877].speaker SPEAKER_16
transcript.pyannote[2877].start 22419.66659375
transcript.pyannote[2877].end 22422.94034375
transcript.pyannote[2878].speaker SPEAKER_16
transcript.pyannote[2878].start 22423.22721875
transcript.pyannote[2878].end 22428.12096875
transcript.pyannote[2879].speaker SPEAKER_16
transcript.pyannote[2879].start 22428.42471875
transcript.pyannote[2879].end 22434.28034375
transcript.pyannote[2880].speaker SPEAKER_05
transcript.pyannote[2880].start 22434.28034375
transcript.pyannote[2880].end 22474.39221875
transcript.pyannote[2881].speaker SPEAKER_16
transcript.pyannote[2881].start 22440.79409375
transcript.pyannote[2881].end 22441.31721875
transcript.pyannote[2882].speaker SPEAKER_00
transcript.pyannote[2882].start 22441.31721875
transcript.pyannote[2882].end 22441.51971875
transcript.pyannote[2883].speaker SPEAKER_22
transcript.pyannote[2883].start 22474.39221875
transcript.pyannote[2883].end 22486.86284375
transcript.pyannote[2884].speaker SPEAKER_05
transcript.pyannote[2884].start 22486.50846875
transcript.pyannote[2884].end 22488.19596875
transcript.pyannote[2885].speaker SPEAKER_22
transcript.pyannote[2885].start 22489.41096875
transcript.pyannote[2885].end 22490.25471875
transcript.pyannote[2886].speaker SPEAKER_05
transcript.pyannote[2886].start 22490.05221875
transcript.pyannote[2886].end 22491.50346875
transcript.pyannote[2887].speaker SPEAKER_22
transcript.pyannote[2887].start 22491.84096875
transcript.pyannote[2887].end 22497.39284375
transcript.pyannote[2888].speaker SPEAKER_05
transcript.pyannote[2888].start 22497.03846875
transcript.pyannote[2888].end 22499.23221875
transcript.pyannote[2889].speaker SPEAKER_22
transcript.pyannote[2889].start 22500.16034375
transcript.pyannote[2889].end 22505.96534375
transcript.pyannote[2890].speaker SPEAKER_05
transcript.pyannote[2890].start 22502.18534375
transcript.pyannote[2890].end 22557.51846875
transcript.pyannote[2891].speaker SPEAKER_05
transcript.pyannote[2891].start 22557.78846875
transcript.pyannote[2891].end 22581.73409375
transcript.pyannote[2892].speaker SPEAKER_22
transcript.pyannote[2892].start 22580.13096875
transcript.pyannote[2892].end 22588.88909375
transcript.pyannote[2893].speaker SPEAKER_05
transcript.pyannote[2893].start 22587.92721875
transcript.pyannote[2893].end 22589.19284375
transcript.pyannote[2894].speaker SPEAKER_22
transcript.pyannote[2894].start 22589.58096875
transcript.pyannote[2894].end 22596.93846875
transcript.pyannote[2895].speaker SPEAKER_05
transcript.pyannote[2895].start 22591.21784375
transcript.pyannote[2895].end 22591.57221875
transcript.pyannote[2896].speaker SPEAKER_05
transcript.pyannote[2896].start 22595.90909375
transcript.pyannote[2896].end 22600.19534375
transcript.pyannote[2897].speaker SPEAKER_22
transcript.pyannote[2897].start 22597.02284375
transcript.pyannote[2897].end 22597.05659375
transcript.pyannote[2898].speaker SPEAKER_22
transcript.pyannote[2898].start 22599.63846875
transcript.pyannote[2898].end 22599.65534375
transcript.pyannote[2899].speaker SPEAKER_16
transcript.pyannote[2899].start 22599.65534375
transcript.pyannote[2899].end 22601.84909375
transcript.pyannote[2900].speaker SPEAKER_05
transcript.pyannote[2900].start 22601.81534375
transcript.pyannote[2900].end 22611.21471875
transcript.pyannote[2901].speaker SPEAKER_22
transcript.pyannote[2901].start 22611.60284375
transcript.pyannote[2901].end 22616.64846875
transcript.pyannote[2902].speaker SPEAKER_05
transcript.pyannote[2902].start 22616.10846875
transcript.pyannote[2902].end 22619.24721875
transcript.pyannote[2903].speaker SPEAKER_22
transcript.pyannote[2903].start 22619.19659375
transcript.pyannote[2903].end 22619.82096875
transcript.pyannote[2904].speaker SPEAKER_05
transcript.pyannote[2904].start 22619.63534375
transcript.pyannote[2904].end 22620.17534375
transcript.pyannote[2905].speaker SPEAKER_07
transcript.pyannote[2905].start 22631.09346875
transcript.pyannote[2905].end 22635.86909375
transcript.pyannote[2906].speaker SPEAKER_07
transcript.pyannote[2906].start 22638.07971875
transcript.pyannote[2906].end 22643.46284375
transcript.pyannote[2907].speaker SPEAKER_02
transcript.pyannote[2907].start 22653.33471875
transcript.pyannote[2907].end 22655.84909375
transcript.pyannote[2908].speaker SPEAKER_07
transcript.pyannote[2908].start 22655.88284375
transcript.pyannote[2908].end 22657.33409375
transcript.pyannote[2909].speaker SPEAKER_16
transcript.pyannote[2909].start 22666.00784375
transcript.pyannote[2909].end 22666.64909375
transcript.pyannote[2910].speaker SPEAKER_03
transcript.pyannote[2910].start 22666.80096875
transcript.pyannote[2910].end 22683.60846875
transcript.pyannote[2911].speaker SPEAKER_16
transcript.pyannote[2911].start 22671.12096875
transcript.pyannote[2911].end 22671.30659375
transcript.pyannote[2912].speaker SPEAKER_16
transcript.pyannote[2912].start 22683.89534375
transcript.pyannote[2912].end 22684.43534375
transcript.pyannote[2913].speaker SPEAKER_03
transcript.pyannote[2913].start 22685.12721875
transcript.pyannote[2913].end 22699.58909375
transcript.pyannote[2914].speaker SPEAKER_03
transcript.pyannote[2914].start 22699.82534375
transcript.pyannote[2914].end 22706.25471875
transcript.pyannote[2915].speaker SPEAKER_03
transcript.pyannote[2915].start 22706.98034375
transcript.pyannote[2915].end 22707.75659375
transcript.pyannote[2916].speaker SPEAKER_03
transcript.pyannote[2916].start 22708.49909375
transcript.pyannote[2916].end 22708.53284375
transcript.pyannote[2917].speaker SPEAKER_16
transcript.pyannote[2917].start 22708.53284375
transcript.pyannote[2917].end 22710.52409375
transcript.pyannote[2918].speaker SPEAKER_03
transcript.pyannote[2918].start 22708.54971875
transcript.pyannote[2918].end 22709.39346875
transcript.pyannote[2919].speaker SPEAKER_16
transcript.pyannote[2919].start 22710.64221875
transcript.pyannote[2919].end 22714.10159375
transcript.pyannote[2920].speaker SPEAKER_16
transcript.pyannote[2920].start 22714.33784375
transcript.pyannote[2920].end 22716.98721875
transcript.pyannote[2921].speaker SPEAKER_16
transcript.pyannote[2921].start 22717.47659375
transcript.pyannote[2921].end 22721.35784375
transcript.pyannote[2922].speaker SPEAKER_16
transcript.pyannote[2922].start 22722.01596875
transcript.pyannote[2922].end 22727.02784375
transcript.pyannote[2923].speaker SPEAKER_16
transcript.pyannote[2923].start 22727.39909375
transcript.pyannote[2923].end 22730.04846875
transcript.pyannote[2924].speaker SPEAKER_16
transcript.pyannote[2924].start 22730.43659375
transcript.pyannote[2924].end 22732.39409375
transcript.pyannote[2925].speaker SPEAKER_16
transcript.pyannote[2925].start 22732.83284375
transcript.pyannote[2925].end 22734.58784375
transcript.pyannote[2926].speaker SPEAKER_16
transcript.pyannote[2926].start 22735.02659375
transcript.pyannote[2926].end 22736.91659375
transcript.pyannote[2927].speaker SPEAKER_16
transcript.pyannote[2927].start 22736.96721875
transcript.pyannote[2927].end 22737.32159375
transcript.pyannote[2928].speaker SPEAKER_03
transcript.pyannote[2928].start 22737.69284375
transcript.pyannote[2928].end 22746.88971875
transcript.pyannote[2929].speaker SPEAKER_03
transcript.pyannote[2929].start 22747.19346875
transcript.pyannote[2929].end 22752.99846875
transcript.pyannote[2930].speaker SPEAKER_03
transcript.pyannote[2930].start 22753.36971875
transcript.pyannote[2930].end 22766.07659375
transcript.pyannote[2931].speaker SPEAKER_03
transcript.pyannote[2931].start 22766.12721875
transcript.pyannote[2931].end 22770.04221875
transcript.pyannote[2932].speaker SPEAKER_03
transcript.pyannote[2932].start 22770.16034375
transcript.pyannote[2932].end 22780.43721875
transcript.pyannote[2933].speaker SPEAKER_03
transcript.pyannote[2933].start 22781.01096875
transcript.pyannote[2933].end 22782.39471875
transcript.pyannote[2934].speaker SPEAKER_03
transcript.pyannote[2934].start 22782.59721875
transcript.pyannote[2934].end 22787.27159375
transcript.pyannote[2935].speaker SPEAKER_16
transcript.pyannote[2935].start 22787.76096875
transcript.pyannote[2935].end 22790.17409375
transcript.pyannote[2936].speaker SPEAKER_16
transcript.pyannote[2936].start 22790.39346875
transcript.pyannote[2936].end 22791.77721875
transcript.pyannote[2937].speaker SPEAKER_16
transcript.pyannote[2937].start 22792.21596875
transcript.pyannote[2937].end 22793.31284375
transcript.pyannote[2938].speaker SPEAKER_16
transcript.pyannote[2938].start 22793.68409375
transcript.pyannote[2938].end 22795.94534375
transcript.pyannote[2939].speaker SPEAKER_16
transcript.pyannote[2939].start 22796.16471875
transcript.pyannote[2939].end 22797.39659375
transcript.pyannote[2940].speaker SPEAKER_16
transcript.pyannote[2940].start 22797.63284375
transcript.pyannote[2940].end 22799.25284375
transcript.pyannote[2941].speaker SPEAKER_16
transcript.pyannote[2941].start 22799.33721875
transcript.pyannote[2941].end 22800.07971875
transcript.pyannote[2942].speaker SPEAKER_16
transcript.pyannote[2942].start 22800.23159375
transcript.pyannote[2942].end 22802.64471875
transcript.pyannote[2943].speaker SPEAKER_16
transcript.pyannote[2943].start 22803.20159375
transcript.pyannote[2943].end 22804.06221875
transcript.pyannote[2944].speaker SPEAKER_16
transcript.pyannote[2944].start 22804.07909375
transcript.pyannote[2944].end 22811.08221875
transcript.pyannote[2945].speaker SPEAKER_03
transcript.pyannote[2945].start 22811.30159375
transcript.pyannote[2945].end 22832.34471875
transcript.pyannote[2946].speaker SPEAKER_16
transcript.pyannote[2946].start 22815.82409375
transcript.pyannote[2946].end 22816.00971875
transcript.pyannote[2947].speaker SPEAKER_00
transcript.pyannote[2947].start 22816.00971875
transcript.pyannote[2947].end 22816.11096875
transcript.pyannote[2948].speaker SPEAKER_02
transcript.pyannote[2948].start 22822.38846875
transcript.pyannote[2948].end 22822.74284375
transcript.pyannote[2949].speaker SPEAKER_03
transcript.pyannote[2949].start 22832.71596875
transcript.pyannote[2949].end 22859.31096875
transcript.pyannote[2950].speaker SPEAKER_03
transcript.pyannote[2950].start 22859.47971875
transcript.pyannote[2950].end 22884.82596875
transcript.pyannote[2951].speaker SPEAKER_03
transcript.pyannote[2951].start 22885.12971875
transcript.pyannote[2951].end 22911.13409375
transcript.pyannote[2952].speaker SPEAKER_03
transcript.pyannote[2952].start 22911.28596875
transcript.pyannote[2952].end 22915.38659375
transcript.pyannote[2953].speaker SPEAKER_03
transcript.pyannote[2953].start 22915.58909375
transcript.pyannote[2953].end 22920.12846875
transcript.pyannote[2954].speaker SPEAKER_03
transcript.pyannote[2954].start 22920.41534375
transcript.pyannote[2954].end 22942.82534375
transcript.pyannote[2955].speaker SPEAKER_00
transcript.pyannote[2955].start 22924.33034375
transcript.pyannote[2955].end 22924.41471875
transcript.pyannote[2956].speaker SPEAKER_02
transcript.pyannote[2956].start 22924.41471875
transcript.pyannote[2956].end 22924.49909375
transcript.pyannote[2957].speaker SPEAKER_00
transcript.pyannote[2957].start 22924.49909375
transcript.pyannote[2957].end 22924.66784375
transcript.pyannote[2958].speaker SPEAKER_03
transcript.pyannote[2958].start 22943.02784375
transcript.pyannote[2958].end 22950.89159375
transcript.pyannote[2959].speaker SPEAKER_03
transcript.pyannote[2959].start 22951.17846875
transcript.pyannote[2959].end 22957.84409375
transcript.pyannote[2960].speaker SPEAKER_16
transcript.pyannote[2960].start 22958.04659375
transcript.pyannote[2960].end 22961.59034375
transcript.pyannote[2961].speaker SPEAKER_16
transcript.pyannote[2961].start 22961.82659375
transcript.pyannote[2961].end 22963.69971875
transcript.pyannote[2962].speaker SPEAKER_16
transcript.pyannote[2962].start 22964.12159375
transcript.pyannote[2962].end 22964.56034375
transcript.pyannote[2963].speaker SPEAKER_16
transcript.pyannote[2963].start 22964.79659375
transcript.pyannote[2963].end 22967.54721875
transcript.pyannote[2964].speaker SPEAKER_16
transcript.pyannote[2964].start 22967.86784375
transcript.pyannote[2964].end 22973.11596875
transcript.pyannote[2965].speaker SPEAKER_03
transcript.pyannote[2965].start 22972.40721875
transcript.pyannote[2965].end 22975.69784375
transcript.pyannote[2966].speaker SPEAKER_16
transcript.pyannote[2966].start 22974.39846875
transcript.pyannote[2966].end 22974.97221875
transcript.pyannote[2967].speaker SPEAKER_16
transcript.pyannote[2967].start 22975.00596875
transcript.pyannote[2967].end 22977.72284375
transcript.pyannote[2968].speaker SPEAKER_16
transcript.pyannote[2968].start 22978.22909375
transcript.pyannote[2968].end 22980.65909375
transcript.pyannote[2969].speaker SPEAKER_16
transcript.pyannote[2969].start 22981.11471875
transcript.pyannote[2969].end 22982.58284375
transcript.pyannote[2970].speaker SPEAKER_16
transcript.pyannote[2970].start 22983.22409375
transcript.pyannote[2970].end 22984.75971875
transcript.pyannote[2971].speaker SPEAKER_16
transcript.pyannote[2971].start 22984.89471875
transcript.pyannote[2971].end 22986.73409375
transcript.pyannote[2972].speaker SPEAKER_16
transcript.pyannote[2972].start 22987.02096875
transcript.pyannote[2972].end 22989.14721875
transcript.pyannote[2973].speaker SPEAKER_16
transcript.pyannote[2973].start 22989.23159375
transcript.pyannote[2973].end 22990.19346875
transcript.pyannote[2974].speaker SPEAKER_16
transcript.pyannote[2974].start 22990.53096875
transcript.pyannote[2974].end 22991.30721875
transcript.pyannote[2975].speaker SPEAKER_16
transcript.pyannote[2975].start 22991.91471875
transcript.pyannote[2975].end 22994.42909375
transcript.pyannote[2976].speaker SPEAKER_16
transcript.pyannote[2976].start 22994.81721875
transcript.pyannote[2976].end 22995.72846875
transcript.pyannote[2977].speaker SPEAKER_16
transcript.pyannote[2977].start 22996.01534375
transcript.pyannote[2977].end 22996.40346875
transcript.pyannote[2978].speaker SPEAKER_16
transcript.pyannote[2978].start 22997.16284375
transcript.pyannote[2978].end 23000.92596875
transcript.pyannote[2979].speaker SPEAKER_16
transcript.pyannote[2979].start 23001.16221875
transcript.pyannote[2979].end 23003.30534375
transcript.pyannote[2980].speaker SPEAKER_16
transcript.pyannote[2980].start 23003.52471875
transcript.pyannote[2980].end 23005.83659375
transcript.pyannote[2981].speaker SPEAKER_16
transcript.pyannote[2981].start 23006.25846875
transcript.pyannote[2981].end 23009.17784375
transcript.pyannote[2982].speaker SPEAKER_16
transcript.pyannote[2982].start 23009.29596875
transcript.pyannote[2982].end 23011.74284375
transcript.pyannote[2983].speaker SPEAKER_16
transcript.pyannote[2983].start 23011.97909375
transcript.pyannote[2983].end 23013.21096875
transcript.pyannote[2984].speaker SPEAKER_16
transcript.pyannote[2984].start 23013.48096875
transcript.pyannote[2984].end 23016.73784375
transcript.pyannote[2985].speaker SPEAKER_16
transcript.pyannote[2985].start 23016.90659375
transcript.pyannote[2985].end 23021.22659375
transcript.pyannote[2986].speaker SPEAKER_16
transcript.pyannote[2986].start 23021.59784375
transcript.pyannote[2986].end 23022.64409375
transcript.pyannote[2987].speaker SPEAKER_16
transcript.pyannote[2987].start 23022.72846875
transcript.pyannote[2987].end 23024.56784375
transcript.pyannote[2988].speaker SPEAKER_03
transcript.pyannote[2988].start 23024.70284375
transcript.pyannote[2988].end 23030.38971875
transcript.pyannote[2989].speaker SPEAKER_07
transcript.pyannote[2989].start 23031.19971875
transcript.pyannote[2989].end 23032.58346875
transcript.pyannote[2990].speaker SPEAKER_03
transcript.pyannote[2990].start 23044.78409375
transcript.pyannote[2990].end 23044.85159375
transcript.pyannote[2991].speaker SPEAKER_06
transcript.pyannote[2991].start 23044.85159375
transcript.pyannote[2991].end 23044.93596875
transcript.pyannote[2992].speaker SPEAKER_03
transcript.pyannote[2992].start 23044.93596875
transcript.pyannote[2992].end 23045.18909375
transcript.pyannote[2993].speaker SPEAKER_03
transcript.pyannote[2993].start 23045.56034375
transcript.pyannote[2993].end 23072.32409375
transcript.pyannote[2994].speaker SPEAKER_00
transcript.pyannote[2994].start 23062.80659375
transcript.pyannote[2994].end 23062.82346875
transcript.pyannote[2995].speaker SPEAKER_00
transcript.pyannote[2995].start 23063.02596875
transcript.pyannote[2995].end 23063.04284375
transcript.pyannote[2996].speaker SPEAKER_06
transcript.pyannote[2996].start 23071.32846875
transcript.pyannote[2996].end 23072.96534375
transcript.pyannote[2997].speaker SPEAKER_03
transcript.pyannote[2997].start 23073.01596875
transcript.pyannote[2997].end 23085.70596875
transcript.pyannote[2998].speaker SPEAKER_03
transcript.pyannote[2998].start 23085.89159375
transcript.pyannote[2998].end 23132.58471875
transcript.pyannote[2999].speaker SPEAKER_04
transcript.pyannote[2999].start 23097.95721875
transcript.pyannote[2999].end 23098.00784375
transcript.pyannote[3000].speaker SPEAKER_04
transcript.pyannote[3000].start 23098.02471875
transcript.pyannote[3000].end 23098.05846875
transcript.pyannote[3001].speaker SPEAKER_06
transcript.pyannote[3001].start 23120.29971875
transcript.pyannote[3001].end 23120.31659375
transcript.pyannote[3002].speaker SPEAKER_25
transcript.pyannote[3002].start 23120.31659375
transcript.pyannote[3002].end 23120.33346875
transcript.pyannote[3003].speaker SPEAKER_06
transcript.pyannote[3003].start 23120.33346875
transcript.pyannote[3003].end 23121.97034375
transcript.pyannote[3004].speaker SPEAKER_06
transcript.pyannote[3004].start 23122.12221875
transcript.pyannote[3004].end 23122.25721875
transcript.pyannote[3005].speaker SPEAKER_06
transcript.pyannote[3005].start 23123.25284375
transcript.pyannote[3005].end 23124.63659375
transcript.pyannote[3006].speaker SPEAKER_06
transcript.pyannote[3006].start 23132.58471875
transcript.pyannote[3006].end 23135.94284375
transcript.pyannote[3007].speaker SPEAKER_03
transcript.pyannote[3007].start 23134.40721875
transcript.pyannote[3007].end 23134.87971875
transcript.pyannote[3008].speaker SPEAKER_03
transcript.pyannote[3008].start 23135.53784375
transcript.pyannote[3008].end 23135.99346875
transcript.pyannote[3009].speaker SPEAKER_06
transcript.pyannote[3009].start 23135.99346875
transcript.pyannote[3009].end 23136.44909375
transcript.pyannote[3010].speaker SPEAKER_03
transcript.pyannote[3010].start 23136.44909375
transcript.pyannote[3010].end 23169.45659375
transcript.pyannote[3011].speaker SPEAKER_03
transcript.pyannote[3011].start 23169.47346875
transcript.pyannote[3011].end 23170.21596875
transcript.pyannote[3012].speaker SPEAKER_03
transcript.pyannote[3012].start 23170.45221875
transcript.pyannote[3012].end 23176.03784375
transcript.pyannote[3013].speaker SPEAKER_06
transcript.pyannote[3013].start 23175.12659375
transcript.pyannote[3013].end 23177.20221875
transcript.pyannote[3014].speaker SPEAKER_03
transcript.pyannote[3014].start 23176.40909375
transcript.pyannote[3014].end 23177.25284375
transcript.pyannote[3015].speaker SPEAKER_03
transcript.pyannote[3015].start 23177.28659375
transcript.pyannote[3015].end 23177.30346875
transcript.pyannote[3016].speaker SPEAKER_06
transcript.pyannote[3016].start 23177.30346875
transcript.pyannote[3016].end 23177.57346875
transcript.pyannote[3017].speaker SPEAKER_03
transcript.pyannote[3017].start 23177.42159375
transcript.pyannote[3017].end 23190.04409375
transcript.pyannote[3018].speaker SPEAKER_25
transcript.pyannote[3018].start 23190.33096875
transcript.pyannote[3018].end 23190.53346875
transcript.pyannote[3019].speaker SPEAKER_03
transcript.pyannote[3019].start 23190.53346875
transcript.pyannote[3019].end 23223.27096875
transcript.pyannote[3020].speaker SPEAKER_25
transcript.pyannote[3020].start 23190.55034375
transcript.pyannote[3020].end 23190.82034375
transcript.pyannote[3021].speaker SPEAKER_00
transcript.pyannote[3021].start 23214.37784375
transcript.pyannote[3021].end 23214.56346875
transcript.pyannote[3022].speaker SPEAKER_25
transcript.pyannote[3022].start 23223.27096875
transcript.pyannote[3022].end 23223.28784375
transcript.pyannote[3023].speaker SPEAKER_03
transcript.pyannote[3023].start 23223.28784375
transcript.pyannote[3023].end 23270.40284375
transcript.pyannote[3024].speaker SPEAKER_25
transcript.pyannote[3024].start 23223.70971875
transcript.pyannote[3024].end 23223.72659375
transcript.pyannote[3025].speaker SPEAKER_26
transcript.pyannote[3025].start 23242.35659375
transcript.pyannote[3025].end 23243.62221875
transcript.pyannote[3026].speaker SPEAKER_03
transcript.pyannote[3026].start 23270.57159375
transcript.pyannote[3026].end 23285.69159375
transcript.pyannote[3027].speaker SPEAKER_06
transcript.pyannote[3027].start 23286.31596875
transcript.pyannote[3027].end 23292.25596875
transcript.pyannote[3028].speaker SPEAKER_06
transcript.pyannote[3028].start 23292.39096875
transcript.pyannote[3028].end 23296.94721875
transcript.pyannote[3029].speaker SPEAKER_06
transcript.pyannote[3029].start 23296.98096875
transcript.pyannote[3029].end 23301.99284375
transcript.pyannote[3030].speaker SPEAKER_00
transcript.pyannote[3030].start 23300.22096875
transcript.pyannote[3030].end 23300.60909375
transcript.pyannote[3031].speaker SPEAKER_06
transcript.pyannote[3031].start 23302.09409375
transcript.pyannote[3031].end 23328.03096875
transcript.pyannote[3032].speaker SPEAKER_06
transcript.pyannote[3032].start 23328.11534375
transcript.pyannote[3032].end 23329.24596875
transcript.pyannote[3033].speaker SPEAKER_06
transcript.pyannote[3033].start 23329.73534375
transcript.pyannote[3033].end 23331.18659375
transcript.pyannote[3034].speaker SPEAKER_06
transcript.pyannote[3034].start 23331.54096875
transcript.pyannote[3034].end 23339.64096875
transcript.pyannote[3035].speaker SPEAKER_03
transcript.pyannote[3035].start 23334.89909375
transcript.pyannote[3035].end 23335.05096875
transcript.pyannote[3036].speaker SPEAKER_03
transcript.pyannote[3036].start 23338.78034375
transcript.pyannote[3036].end 23346.72846875
transcript.pyannote[3037].speaker SPEAKER_06
transcript.pyannote[3037].start 23342.18909375
transcript.pyannote[3037].end 23343.10034375
transcript.pyannote[3038].speaker SPEAKER_25
transcript.pyannote[3038].start 23343.10034375
transcript.pyannote[3038].end 23343.20159375
transcript.pyannote[3039].speaker SPEAKER_06
transcript.pyannote[3039].start 23343.20159375
transcript.pyannote[3039].end 23343.23534375
transcript.pyannote[3040].speaker SPEAKER_25
transcript.pyannote[3040].start 23343.23534375
transcript.pyannote[3040].end 23343.38721875
transcript.pyannote[3041].speaker SPEAKER_06
transcript.pyannote[3041].start 23343.38721875
transcript.pyannote[3041].end 23343.40409375
transcript.pyannote[3042].speaker SPEAKER_25
transcript.pyannote[3042].start 23343.40409375
transcript.pyannote[3042].end 23343.45471875
transcript.pyannote[3043].speaker SPEAKER_06
transcript.pyannote[3043].start 23343.45471875
transcript.pyannote[3043].end 23343.47159375
transcript.pyannote[3044].speaker SPEAKER_25
transcript.pyannote[3044].start 23343.47159375
transcript.pyannote[3044].end 23343.62346875
transcript.pyannote[3045].speaker SPEAKER_06
transcript.pyannote[3045].start 23345.39534375
transcript.pyannote[3045].end 23347.36971875
transcript.pyannote[3046].speaker SPEAKER_03
transcript.pyannote[3046].start 23346.86346875
transcript.pyannote[3046].end 23352.70221875
transcript.pyannote[3047].speaker SPEAKER_06
transcript.pyannote[3047].start 23350.93034375
transcript.pyannote[3047].end 23351.30159375
transcript.pyannote[3048].speaker SPEAKER_06
transcript.pyannote[3048].start 23352.17909375
transcript.pyannote[3048].end 23362.47284375
transcript.pyannote[3049].speaker SPEAKER_03
transcript.pyannote[3049].start 23355.72284375
transcript.pyannote[3049].end 23356.26284375
transcript.pyannote[3050].speaker SPEAKER_06
transcript.pyannote[3050].start 23362.67534375
transcript.pyannote[3050].end 23366.33721875
transcript.pyannote[3051].speaker SPEAKER_06
transcript.pyannote[3051].start 23366.40471875
transcript.pyannote[3051].end 23370.57284375
transcript.pyannote[3052].speaker SPEAKER_03
transcript.pyannote[3052].start 23369.69534375
transcript.pyannote[3052].end 23369.79659375
transcript.pyannote[3053].speaker SPEAKER_03
transcript.pyannote[3053].start 23370.65721875
transcript.pyannote[3053].end 23433.43221875
transcript.pyannote[3054].speaker SPEAKER_06
transcript.pyannote[3054].start 23372.27721875
transcript.pyannote[3054].end 23372.58096875
transcript.pyannote[3055].speaker SPEAKER_06
transcript.pyannote[3055].start 23375.01096875
transcript.pyannote[3055].end 23375.48346875
transcript.pyannote[3056].speaker SPEAKER_06
transcript.pyannote[3056].start 23377.87971875
transcript.pyannote[3056].end 23378.35221875
transcript.pyannote[3057].speaker SPEAKER_06
transcript.pyannote[3057].start 23379.80346875
transcript.pyannote[3057].end 23379.97221875
transcript.pyannote[3058].speaker SPEAKER_25
transcript.pyannote[3058].start 23379.97221875
transcript.pyannote[3058].end 23380.90034375
transcript.pyannote[3059].speaker SPEAKER_26
transcript.pyannote[3059].start 23380.90034375
transcript.pyannote[3059].end 23380.95096875
transcript.pyannote[3060].speaker SPEAKER_00
transcript.pyannote[3060].start 23380.95096875
transcript.pyannote[3060].end 23380.96784375
transcript.pyannote[3061].speaker SPEAKER_26
transcript.pyannote[3061].start 23382.25034375
transcript.pyannote[3061].end 23382.87471875
transcript.pyannote[3062].speaker SPEAKER_00
transcript.pyannote[3062].start 23387.49846875
transcript.pyannote[3062].end 23387.81909375
transcript.pyannote[3063].speaker SPEAKER_00
transcript.pyannote[3063].start 23407.83284375
transcript.pyannote[3063].end 23408.17034375
transcript.pyannote[3064].speaker SPEAKER_06
transcript.pyannote[3064].start 23433.43221875
transcript.pyannote[3064].end 23434.27596875
transcript.pyannote[3065].speaker SPEAKER_03
transcript.pyannote[3065].start 23433.80346875
transcript.pyannote[3065].end 23434.73159375
transcript.pyannote[3066].speaker SPEAKER_06
transcript.pyannote[3066].start 23434.68096875
transcript.pyannote[3066].end 23435.03534375
transcript.pyannote[3067].speaker SPEAKER_03
transcript.pyannote[3067].start 23434.76534375
transcript.pyannote[3067].end 23434.78221875
transcript.pyannote[3068].speaker SPEAKER_03
transcript.pyannote[3068].start 23434.83284375
transcript.pyannote[3068].end 23485.05284375
transcript.pyannote[3069].speaker SPEAKER_06
transcript.pyannote[3069].start 23437.24596875
transcript.pyannote[3069].end 23437.29659375
transcript.pyannote[3070].speaker SPEAKER_00
transcript.pyannote[3070].start 23468.04284375
transcript.pyannote[3070].end 23468.32971875
transcript.pyannote[3071].speaker SPEAKER_06
transcript.pyannote[3071].start 23485.79534375
transcript.pyannote[3071].end 23489.10284375
transcript.pyannote[3072].speaker SPEAKER_06
transcript.pyannote[3072].start 23489.45721875
transcript.pyannote[3072].end 23493.16971875
transcript.pyannote[3073].speaker SPEAKER_06
transcript.pyannote[3073].start 23493.49034375
transcript.pyannote[3073].end 23501.03346875
transcript.pyannote[3074].speaker SPEAKER_06
transcript.pyannote[3074].start 23501.47221875
transcript.pyannote[3074].end 23513.31846875
transcript.pyannote[3075].speaker SPEAKER_06
transcript.pyannote[3075].start 23513.74034375
transcript.pyannote[3075].end 23531.96534375
transcript.pyannote[3076].speaker SPEAKER_00
transcript.pyannote[3076].start 23519.34284375
transcript.pyannote[3076].end 23519.78159375
transcript.pyannote[3077].speaker SPEAKER_00
transcript.pyannote[3077].start 23520.92909375
transcript.pyannote[3077].end 23521.28346875
transcript.pyannote[3078].speaker SPEAKER_06
transcript.pyannote[3078].start 23532.13409375
transcript.pyannote[3078].end 23548.73909375
transcript.pyannote[3079].speaker SPEAKER_00
transcript.pyannote[3079].start 23535.91409375
transcript.pyannote[3079].end 23536.25159375
transcript.pyannote[3080].speaker SPEAKER_00
transcript.pyannote[3080].start 23542.44471875
transcript.pyannote[3080].end 23542.71471875
transcript.pyannote[3081].speaker SPEAKER_06
transcript.pyannote[3081].start 23549.04284375
transcript.pyannote[3081].end 23549.86971875
transcript.pyannote[3082].speaker SPEAKER_06
transcript.pyannote[3082].start 23550.57846875
transcript.pyannote[3082].end 23552.94096875
transcript.pyannote[3083].speaker SPEAKER_06
transcript.pyannote[3083].start 23553.12659375
transcript.pyannote[3083].end 23554.49346875
transcript.pyannote[3084].speaker SPEAKER_06
transcript.pyannote[3084].start 23554.54409375
transcript.pyannote[3084].end 23557.31159375
transcript.pyannote[3085].speaker SPEAKER_06
transcript.pyannote[3085].start 23557.91909375
transcript.pyannote[3085].end 23558.94846875
transcript.pyannote[3086].speaker SPEAKER_06
transcript.pyannote[3086].start 23559.52221875
transcript.pyannote[3086].end 23561.17596875
transcript.pyannote[3087].speaker SPEAKER_06
transcript.pyannote[3087].start 23561.54721875
transcript.pyannote[3087].end 23567.23409375
transcript.pyannote[3088].speaker SPEAKER_03
transcript.pyannote[3088].start 23563.04909375
transcript.pyannote[3088].end 23563.35284375
transcript.pyannote[3089].speaker SPEAKER_06
transcript.pyannote[3089].start 23567.36909375
transcript.pyannote[3089].end 23567.45346875
transcript.pyannote[3090].speaker SPEAKER_03
transcript.pyannote[3090].start 23567.45346875
transcript.pyannote[3090].end 23567.63909375
transcript.pyannote[3091].speaker SPEAKER_06
transcript.pyannote[3091].start 23567.63909375
transcript.pyannote[3091].end 23567.67284375
transcript.pyannote[3092].speaker SPEAKER_03
transcript.pyannote[3092].start 23567.67284375
transcript.pyannote[3092].end 23571.82409375
transcript.pyannote[3093].speaker SPEAKER_06
transcript.pyannote[3093].start 23567.74034375
transcript.pyannote[3093].end 23567.97659375
transcript.pyannote[3094].speaker SPEAKER_06
transcript.pyannote[3094].start 23571.25034375
transcript.pyannote[3094].end 23571.58784375
transcript.pyannote[3095].speaker SPEAKER_25
transcript.pyannote[3095].start 23571.58784375
transcript.pyannote[3095].end 23571.67221875
transcript.pyannote[3096].speaker SPEAKER_15
transcript.pyannote[3096].start 23579.38409375
transcript.pyannote[3096].end 23582.91096875
transcript.pyannote[3097].speaker SPEAKER_07
transcript.pyannote[3097].start 23591.26409375
transcript.pyannote[3097].end 23595.75284375
transcript.pyannote[3098].speaker SPEAKER_07
transcript.pyannote[3098].start 23597.40659375
transcript.pyannote[3098].end 23606.85659375
transcript.pyannote[3099].speaker SPEAKER_07
transcript.pyannote[3099].start 23608.12221875
transcript.pyannote[3099].end 23613.37034375
transcript.pyannote[3100].speaker SPEAKER_07
transcript.pyannote[3100].start 23615.24346875
transcript.pyannote[3100].end 23620.71096875
transcript.pyannote[3101].speaker SPEAKER_10
transcript.pyannote[3101].start 23634.24471875
transcript.pyannote[3101].end 23634.68346875
transcript.pyannote[3102].speaker SPEAKER_07
transcript.pyannote[3102].start 23634.68346875
transcript.pyannote[3102].end 23634.83534375
transcript.pyannote[3103].speaker SPEAKER_10
transcript.pyannote[3103].start 23634.83534375
transcript.pyannote[3103].end 23635.03784375
transcript.pyannote[3104].speaker SPEAKER_07
transcript.pyannote[3104].start 23635.03784375
transcript.pyannote[3104].end 23636.03346875
transcript.pyannote[3105].speaker SPEAKER_07
transcript.pyannote[3105].start 23636.47221875
transcript.pyannote[3105].end 23637.94034375
transcript.pyannote[3106].speaker SPEAKER_10
transcript.pyannote[3106].start 23646.90096875
transcript.pyannote[3106].end 23647.59284375
transcript.pyannote[3107].speaker SPEAKER_10
transcript.pyannote[3107].start 23647.96409375
transcript.pyannote[3107].end 23652.50346875
transcript.pyannote[3108].speaker SPEAKER_10
transcript.pyannote[3108].start 23652.85784375
transcript.pyannote[3108].end 23656.72221875
transcript.pyannote[3109].speaker SPEAKER_10
transcript.pyannote[3109].start 23657.19471875
transcript.pyannote[3109].end 23661.86909375
transcript.pyannote[3110].speaker SPEAKER_10
transcript.pyannote[3110].start 23662.13909375
transcript.pyannote[3110].end 23664.02909375
transcript.pyannote[3111].speaker SPEAKER_10
transcript.pyannote[3111].start 23664.53534375
transcript.pyannote[3111].end 23668.82159375
transcript.pyannote[3112].speaker SPEAKER_10
transcript.pyannote[3112].start 23669.68221875
transcript.pyannote[3112].end 23672.50034375
transcript.pyannote[3113].speaker SPEAKER_10
transcript.pyannote[3113].start 23672.80409375
transcript.pyannote[3113].end 23673.86721875
transcript.pyannote[3114].speaker SPEAKER_10
transcript.pyannote[3114].start 23675.48721875
transcript.pyannote[3114].end 23677.36034375
transcript.pyannote[3115].speaker SPEAKER_10
transcript.pyannote[3115].start 23678.37284375
transcript.pyannote[3115].end 23683.03034375
transcript.pyannote[3116].speaker SPEAKER_10
transcript.pyannote[3116].start 23683.28346875
transcript.pyannote[3116].end 23685.22409375
transcript.pyannote[3117].speaker SPEAKER_10
transcript.pyannote[3117].start 23686.28721875
transcript.pyannote[3117].end 23689.10534375
transcript.pyannote[3118].speaker SPEAKER_10
transcript.pyannote[3118].start 23689.54409375
transcript.pyannote[3118].end 23693.39159375
transcript.pyannote[3119].speaker SPEAKER_10
transcript.pyannote[3119].start 23693.93159375
transcript.pyannote[3119].end 23694.84284375
transcript.pyannote[3120].speaker SPEAKER_10
transcript.pyannote[3120].start 23695.01159375
transcript.pyannote[3120].end 23698.28534375
transcript.pyannote[3121].speaker SPEAKER_10
transcript.pyannote[3121].start 23698.75784375
transcript.pyannote[3121].end 23700.93471875
transcript.pyannote[3122].speaker SPEAKER_10
transcript.pyannote[3122].start 23701.50846875
transcript.pyannote[3122].end 23703.26346875
transcript.pyannote[3123].speaker SPEAKER_10
transcript.pyannote[3123].start 23704.20846875
transcript.pyannote[3123].end 23709.84471875
transcript.pyannote[3124].speaker SPEAKER_10
transcript.pyannote[3124].start 23710.46909375
transcript.pyannote[3124].end 23711.17784375
transcript.pyannote[3125].speaker SPEAKER_10
transcript.pyannote[3125].start 23711.86971875
transcript.pyannote[3125].end 23718.58596875
transcript.pyannote[3126].speaker SPEAKER_10
transcript.pyannote[3126].start 23719.04159375
transcript.pyannote[3126].end 23720.29034375
transcript.pyannote[3127].speaker SPEAKER_10
transcript.pyannote[3127].start 23720.99909375
transcript.pyannote[3127].end 23722.11284375
transcript.pyannote[3128].speaker SPEAKER_10
transcript.pyannote[3128].start 23724.89721875
transcript.pyannote[3128].end 23725.38659375
transcript.pyannote[3129].speaker SPEAKER_10
transcript.pyannote[3129].start 23726.04471875
transcript.pyannote[3129].end 23733.60471875
transcript.pyannote[3130].speaker SPEAKER_10
transcript.pyannote[3130].start 23733.79034375
transcript.pyannote[3130].end 23737.89096875
transcript.pyannote[3131].speaker SPEAKER_10
transcript.pyannote[3131].start 23738.14409375
transcript.pyannote[3131].end 23739.93284375
transcript.pyannote[3132].speaker SPEAKER_10
transcript.pyannote[3132].start 23740.52346875
transcript.pyannote[3132].end 23742.04221875
transcript.pyannote[3133].speaker SPEAKER_10
transcript.pyannote[3133].start 23743.05471875
transcript.pyannote[3133].end 23744.18534375
transcript.pyannote[3134].speaker SPEAKER_10
transcript.pyannote[3134].start 23745.01221875
transcript.pyannote[3134].end 23745.04596875
transcript.pyannote[3135].speaker SPEAKER_16
transcript.pyannote[3135].start 23745.04596875
transcript.pyannote[3135].end 23746.07534375
transcript.pyannote[3136].speaker SPEAKER_16
transcript.pyannote[3136].start 23746.98659375
transcript.pyannote[3136].end 23748.60659375
transcript.pyannote[3137].speaker SPEAKER_16
transcript.pyannote[3137].start 23748.94409375
transcript.pyannote[3137].end 23749.99034375
transcript.pyannote[3138].speaker SPEAKER_16
transcript.pyannote[3138].start 23750.39534375
transcript.pyannote[3138].end 23752.03221875
transcript.pyannote[3139].speaker SPEAKER_16
transcript.pyannote[3139].start 23752.60596875
transcript.pyannote[3139].end 23755.40721875
transcript.pyannote[3140].speaker SPEAKER_16
transcript.pyannote[3140].start 23755.87971875
transcript.pyannote[3140].end 23757.56721875
transcript.pyannote[3141].speaker SPEAKER_16
transcript.pyannote[3141].start 23757.70221875
transcript.pyannote[3141].end 23759.28846875
transcript.pyannote[3142].speaker SPEAKER_16
transcript.pyannote[3142].start 23759.74409375
transcript.pyannote[3142].end 23763.76034375
transcript.pyannote[3143].speaker SPEAKER_16
transcript.pyannote[3143].start 23764.03034375
transcript.pyannote[3143].end 23765.66721875
transcript.pyannote[3144].speaker SPEAKER_16
transcript.pyannote[3144].start 23766.05534375
transcript.pyannote[3144].end 23766.51096875
transcript.pyannote[3145].speaker SPEAKER_16
transcript.pyannote[3145].start 23767.00034375
transcript.pyannote[3145].end 23767.32096875
transcript.pyannote[3146].speaker SPEAKER_16
transcript.pyannote[3146].start 23767.72596875
transcript.pyannote[3146].end 23770.61159375
transcript.pyannote[3147].speaker SPEAKER_16
transcript.pyannote[3147].start 23770.89846875
transcript.pyannote[3147].end 23773.12596875
transcript.pyannote[3148].speaker SPEAKER_16
transcript.pyannote[3148].start 23773.19346875
transcript.pyannote[3148].end 23774.42534375
transcript.pyannote[3149].speaker SPEAKER_16
transcript.pyannote[3149].start 23774.81346875
transcript.pyannote[3149].end 23778.84659375
transcript.pyannote[3150].speaker SPEAKER_16
transcript.pyannote[3150].start 23778.99846875
transcript.pyannote[3150].end 23779.94346875
transcript.pyannote[3151].speaker SPEAKER_16
transcript.pyannote[3151].start 23780.17971875
transcript.pyannote[3151].end 23781.15846875
transcript.pyannote[3152].speaker SPEAKER_16
transcript.pyannote[3152].start 23781.56346875
transcript.pyannote[3152].end 23782.96409375
transcript.pyannote[3153].speaker SPEAKER_10
transcript.pyannote[3153].start 23782.96409375
transcript.pyannote[3153].end 23790.32159375
transcript.pyannote[3154].speaker SPEAKER_10
transcript.pyannote[3154].start 23790.79409375
transcript.pyannote[3154].end 23796.98721875
transcript.pyannote[3155].speaker SPEAKER_10
transcript.pyannote[3155].start 23797.47659375
transcript.pyannote[3155].end 23797.99971875
transcript.pyannote[3156].speaker SPEAKER_10
transcript.pyannote[3156].start 23798.21909375
transcript.pyannote[3156].end 23801.74596875
transcript.pyannote[3157].speaker SPEAKER_10
transcript.pyannote[3157].start 23802.45471875
transcript.pyannote[3157].end 23803.38284375
transcript.pyannote[3158].speaker SPEAKER_10
transcript.pyannote[3158].start 23804.22659375
transcript.pyannote[3158].end 23805.18846875
transcript.pyannote[3159].speaker SPEAKER_10
transcript.pyannote[3159].start 23805.72846875
transcript.pyannote[3159].end 23809.08659375
transcript.pyannote[3160].speaker SPEAKER_10
transcript.pyannote[3160].start 23809.64346875
transcript.pyannote[3160].end 23810.40284375
transcript.pyannote[3161].speaker SPEAKER_10
transcript.pyannote[3161].start 23811.19596875
transcript.pyannote[3161].end 23814.30096875
transcript.pyannote[3162].speaker SPEAKER_10
transcript.pyannote[3162].start 23814.94221875
transcript.pyannote[3162].end 23816.69721875
transcript.pyannote[3163].speaker SPEAKER_10
transcript.pyannote[3163].start 23817.77721875
transcript.pyannote[3163].end 23819.39721875
transcript.pyannote[3164].speaker SPEAKER_10
transcript.pyannote[3164].start 23819.75159375
transcript.pyannote[3164].end 23821.08471875
transcript.pyannote[3165].speaker SPEAKER_10
transcript.pyannote[3165].start 23821.64159375
transcript.pyannote[3165].end 23825.45534375
transcript.pyannote[3166].speaker SPEAKER_10
transcript.pyannote[3166].start 23825.79284375
transcript.pyannote[3166].end 23827.24409375
transcript.pyannote[3167].speaker SPEAKER_10
transcript.pyannote[3167].start 23828.08784375
transcript.pyannote[3167].end 23830.46721875
transcript.pyannote[3168].speaker SPEAKER_10
transcript.pyannote[3168].start 23831.07471875
transcript.pyannote[3168].end 23835.22596875
transcript.pyannote[3169].speaker SPEAKER_10
transcript.pyannote[3169].start 23835.59721875
transcript.pyannote[3169].end 23837.38596875
transcript.pyannote[3170].speaker SPEAKER_10
transcript.pyannote[3170].start 23837.89221875
transcript.pyannote[3170].end 23839.71471875
transcript.pyannote[3171].speaker SPEAKER_10
transcript.pyannote[3171].start 23840.44034375
transcript.pyannote[3171].end 23841.62159375
transcript.pyannote[3172].speaker SPEAKER_10
transcript.pyannote[3172].start 23841.94221875
transcript.pyannote[3172].end 23842.34721875
transcript.pyannote[3173].speaker SPEAKER_10
transcript.pyannote[3173].start 23842.65096875
transcript.pyannote[3173].end 23849.35034375
transcript.pyannote[3174].speaker SPEAKER_10
transcript.pyannote[3174].start 23850.09284375
transcript.pyannote[3174].end 23850.80159375
transcript.pyannote[3175].speaker SPEAKER_10
transcript.pyannote[3175].start 23851.39221875
transcript.pyannote[3175].end 23853.70409375
transcript.pyannote[3176].speaker SPEAKER_10
transcript.pyannote[3176].start 23854.14284375
transcript.pyannote[3176].end 23860.84221875
transcript.pyannote[3177].speaker SPEAKER_10
transcript.pyannote[3177].start 23861.04471875
transcript.pyannote[3177].end 23870.22471875
transcript.pyannote[3178].speaker SPEAKER_10
transcript.pyannote[3178].start 23870.42721875
transcript.pyannote[3178].end 23870.96721875
transcript.pyannote[3179].speaker SPEAKER_10
transcript.pyannote[3179].start 23871.27096875
transcript.pyannote[3179].end 23875.08471875
transcript.pyannote[3180].speaker SPEAKER_10
transcript.pyannote[3180].start 23875.25346875
transcript.pyannote[3180].end 23879.40471875
transcript.pyannote[3181].speaker SPEAKER_10
transcript.pyannote[3181].start 23879.82659375
transcript.pyannote[3181].end 23881.04159375
transcript.pyannote[3182].speaker SPEAKER_10
transcript.pyannote[3182].start 23881.27784375
transcript.pyannote[3182].end 23884.21409375
transcript.pyannote[3183].speaker SPEAKER_10
transcript.pyannote[3183].start 23884.45034375
transcript.pyannote[3183].end 23885.04096875
transcript.pyannote[3184].speaker SPEAKER_10
transcript.pyannote[3184].start 23887.28534375
transcript.pyannote[3184].end 23891.45346875
transcript.pyannote[3185].speaker SPEAKER_10
transcript.pyannote[3185].start 23892.04409375
transcript.pyannote[3185].end 23893.54596875
transcript.pyannote[3186].speaker SPEAKER_10
transcript.pyannote[3186].start 23893.91721875
transcript.pyannote[3186].end 23894.45721875
transcript.pyannote[3187].speaker SPEAKER_10
transcript.pyannote[3187].start 23895.04784375
transcript.pyannote[3187].end 23895.50346875
transcript.pyannote[3188].speaker SPEAKER_10
transcript.pyannote[3188].start 23896.12784375
transcript.pyannote[3188].end 23898.70971875
transcript.pyannote[3189].speaker SPEAKER_10
transcript.pyannote[3189].start 23899.85721875
transcript.pyannote[3189].end 23901.25784375
transcript.pyannote[3190].speaker SPEAKER_10
transcript.pyannote[3190].start 23901.74721875
transcript.pyannote[3190].end 23911.06221875
transcript.pyannote[3191].speaker SPEAKER_10
transcript.pyannote[3191].start 23911.24784375
transcript.pyannote[3191].end 23917.05284375
transcript.pyannote[3192].speaker SPEAKER_10
transcript.pyannote[3192].start 23917.13721875
transcript.pyannote[3192].end 23923.81971875
transcript.pyannote[3193].speaker SPEAKER_10
transcript.pyannote[3193].start 23923.87034375
transcript.pyannote[3193].end 23927.58284375
transcript.pyannote[3194].speaker SPEAKER_10
transcript.pyannote[3194].start 23928.05534375
transcript.pyannote[3194].end 23932.67909375
transcript.pyannote[3195].speaker SPEAKER_10
transcript.pyannote[3195].start 23932.88159375
transcript.pyannote[3195].end 23934.58596875
transcript.pyannote[3196].speaker SPEAKER_10
transcript.pyannote[3196].start 23934.94034375
transcript.pyannote[3196].end 23937.92721875
transcript.pyannote[3197].speaker SPEAKER_10
transcript.pyannote[3197].start 23938.38284375
transcript.pyannote[3197].end 23939.02409375
transcript.pyannote[3198].speaker SPEAKER_10
transcript.pyannote[3198].start 23939.39534375
transcript.pyannote[3198].end 23943.17534375
transcript.pyannote[3199].speaker SPEAKER_10
transcript.pyannote[3199].start 23943.91784375
transcript.pyannote[3199].end 23945.50409375
transcript.pyannote[3200].speaker SPEAKER_10
transcript.pyannote[3200].start 23946.29721875
transcript.pyannote[3200].end 23958.44721875
transcript.pyannote[3201].speaker SPEAKER_10
transcript.pyannote[3201].start 23958.83534375
transcript.pyannote[3201].end 23963.45909375
transcript.pyannote[3202].speaker SPEAKER_10
transcript.pyannote[3202].start 23963.96534375
transcript.pyannote[3202].end 23964.38721875
transcript.pyannote[3203].speaker SPEAKER_10
transcript.pyannote[3203].start 23964.80909375
transcript.pyannote[3203].end 23971.27221875
transcript.pyannote[3204].speaker SPEAKER_16
transcript.pyannote[3204].start 23971.79534375
transcript.pyannote[3204].end 23974.86659375
transcript.pyannote[3205].speaker SPEAKER_16
transcript.pyannote[3205].start 23975.47409375
transcript.pyannote[3205].end 23976.03096875
transcript.pyannote[3206].speaker SPEAKER_16
transcript.pyannote[3206].start 23976.33471875
transcript.pyannote[3206].end 23977.53284375
transcript.pyannote[3207].speaker SPEAKER_16
transcript.pyannote[3207].start 23978.02221875
transcript.pyannote[3207].end 23984.63721875
transcript.pyannote[3208].speaker SPEAKER_00
transcript.pyannote[3208].start 23981.54909375
transcript.pyannote[3208].end 23981.83596875
transcript.pyannote[3209].speaker SPEAKER_00
transcript.pyannote[3209].start 23982.24096875
transcript.pyannote[3209].end 23982.34221875
transcript.pyannote[3210].speaker SPEAKER_17
transcript.pyannote[3210].start 23982.34221875
transcript.pyannote[3210].end 23982.39284375
transcript.pyannote[3211].speaker SPEAKER_00
transcript.pyannote[3211].start 23982.39284375
transcript.pyannote[3211].end 23982.44346875
transcript.pyannote[3212].speaker SPEAKER_16
transcript.pyannote[3212].start 23984.67096875
transcript.pyannote[3212].end 23985.78471875
transcript.pyannote[3213].speaker SPEAKER_16
transcript.pyannote[3213].start 23985.91971875
transcript.pyannote[3213].end 23987.05034375
transcript.pyannote[3214].speaker SPEAKER_16
transcript.pyannote[3214].start 23987.28659375
transcript.pyannote[3214].end 23988.46784375
transcript.pyannote[3215].speaker SPEAKER_16
transcript.pyannote[3215].start 23988.92346875
transcript.pyannote[3215].end 23992.31534375
transcript.pyannote[3216].speaker SPEAKER_16
transcript.pyannote[3216].start 23992.60221875
transcript.pyannote[3216].end 23995.28534375
transcript.pyannote[3217].speaker SPEAKER_16
transcript.pyannote[3217].start 23995.63971875
transcript.pyannote[3217].end 24002.47409375
transcript.pyannote[3218].speaker SPEAKER_16
transcript.pyannote[3218].start 24003.06471875
transcript.pyannote[3218].end 24005.47784375
transcript.pyannote[3219].speaker SPEAKER_16
transcript.pyannote[3219].start 24005.78159375
transcript.pyannote[3219].end 24008.11034375
transcript.pyannote[3220].speaker SPEAKER_16
transcript.pyannote[3220].start 24009.03846875
transcript.pyannote[3220].end 24009.66284375
transcript.pyannote[3221].speaker SPEAKER_16
transcript.pyannote[3221].start 24010.59096875
transcript.pyannote[3221].end 24011.72159375
transcript.pyannote[3222].speaker SPEAKER_10
transcript.pyannote[3222].start 24011.72159375
transcript.pyannote[3222].end 24015.88971875
transcript.pyannote[3223].speaker SPEAKER_16
transcript.pyannote[3223].start 24012.04221875
transcript.pyannote[3223].end 24013.08846875
transcript.pyannote[3224].speaker SPEAKER_26
transcript.pyannote[3224].start 24013.08846875
transcript.pyannote[3224].end 24013.15596875
transcript.pyannote[3225].speaker SPEAKER_33
transcript.pyannote[3225].start 24013.15596875
transcript.pyannote[3225].end 24013.17284375
transcript.pyannote[3226].speaker SPEAKER_26
transcript.pyannote[3226].start 24015.94034375
transcript.pyannote[3226].end 24016.32846875
transcript.pyannote[3227].speaker SPEAKER_10
transcript.pyannote[3227].start 24016.48034375
transcript.pyannote[3227].end 24022.92659375
transcript.pyannote[3228].speaker SPEAKER_10
transcript.pyannote[3228].start 24023.23034375
transcript.pyannote[3228].end 24028.02284375
transcript.pyannote[3229].speaker SPEAKER_16
transcript.pyannote[3229].start 24023.38221875
transcript.pyannote[3229].end 24024.17534375
transcript.pyannote[3230].speaker SPEAKER_16
transcript.pyannote[3230].start 24024.98534375
transcript.pyannote[3230].end 24025.77846875
transcript.pyannote[3231].speaker SPEAKER_16
transcript.pyannote[3231].start 24028.02284375
transcript.pyannote[3231].end 24031.81971875
transcript.pyannote[3232].speaker SPEAKER_10
transcript.pyannote[3232].start 24028.52909375
transcript.pyannote[3232].end 24029.28846875
transcript.pyannote[3233].speaker SPEAKER_16
transcript.pyannote[3233].start 24032.22471875
transcript.pyannote[3233].end 24034.38471875
transcript.pyannote[3234].speaker SPEAKER_16
transcript.pyannote[3234].start 24034.57034375
transcript.pyannote[3234].end 24036.13971875
transcript.pyannote[3235].speaker SPEAKER_16
transcript.pyannote[3235].start 24036.47721875
transcript.pyannote[3235].end 24039.32909375
transcript.pyannote[3236].speaker SPEAKER_16
transcript.pyannote[3236].start 24039.71721875
transcript.pyannote[3236].end 24041.28659375
transcript.pyannote[3237].speaker SPEAKER_16
transcript.pyannote[3237].start 24041.99534375
transcript.pyannote[3237].end 24045.04971875
transcript.pyannote[3238].speaker SPEAKER_16
transcript.pyannote[3238].start 24045.20159375
transcript.pyannote[3238].end 24049.97721875
transcript.pyannote[3239].speaker SPEAKER_10
transcript.pyannote[3239].start 24046.41659375
transcript.pyannote[3239].end 24047.44596875
transcript.pyannote[3240].speaker SPEAKER_10
transcript.pyannote[3240].start 24049.97721875
transcript.pyannote[3240].end 24055.10721875
transcript.pyannote[3241].speaker SPEAKER_10
transcript.pyannote[3241].start 24055.73159375
transcript.pyannote[3241].end 24056.08596875
transcript.pyannote[3242].speaker SPEAKER_10
transcript.pyannote[3242].start 24057.01409375
transcript.pyannote[3242].end 24061.95846875
transcript.pyannote[3243].speaker SPEAKER_10
transcript.pyannote[3243].start 24062.24534375
transcript.pyannote[3243].end 24064.25346875
transcript.pyannote[3244].speaker SPEAKER_10
transcript.pyannote[3244].start 24064.38846875
transcript.pyannote[3244].end 24067.84784375
transcript.pyannote[3245].speaker SPEAKER_10
transcript.pyannote[3245].start 24068.25284375
transcript.pyannote[3245].end 24070.85159375
transcript.pyannote[3246].speaker SPEAKER_10
transcript.pyannote[3246].start 24071.05409375
transcript.pyannote[3246].end 24072.79221875
transcript.pyannote[3247].speaker SPEAKER_10
transcript.pyannote[3247].start 24073.16346875
transcript.pyannote[3247].end 24073.72034375
transcript.pyannote[3248].speaker SPEAKER_10
transcript.pyannote[3248].start 24074.14221875
transcript.pyannote[3248].end 24076.23471875
transcript.pyannote[3249].speaker SPEAKER_10
transcript.pyannote[3249].start 24076.72409375
transcript.pyannote[3249].end 24079.22159375
transcript.pyannote[3250].speaker SPEAKER_10
transcript.pyannote[3250].start 24079.93034375
transcript.pyannote[3250].end 24080.45346875
transcript.pyannote[3251].speaker SPEAKER_10
transcript.pyannote[3251].start 24080.85846875
transcript.pyannote[3251].end 24081.43221875
transcript.pyannote[3252].speaker SPEAKER_10
transcript.pyannote[3252].start 24081.95534375
transcript.pyannote[3252].end 24082.47846875
transcript.pyannote[3253].speaker SPEAKER_10
transcript.pyannote[3253].start 24083.42346875
transcript.pyannote[3253].end 24084.75659375
transcript.pyannote[3254].speaker SPEAKER_10
transcript.pyannote[3254].start 24085.16159375
transcript.pyannote[3254].end 24088.45221875
transcript.pyannote[3255].speaker SPEAKER_10
transcript.pyannote[3255].start 24088.84034375
transcript.pyannote[3255].end 24093.48096875
transcript.pyannote[3256].speaker SPEAKER_10
transcript.pyannote[3256].start 24093.73409375
transcript.pyannote[3256].end 24095.40471875
transcript.pyannote[3257].speaker SPEAKER_10
transcript.pyannote[3257].start 24095.69159375
transcript.pyannote[3257].end 24099.38721875
transcript.pyannote[3258].speaker SPEAKER_10
transcript.pyannote[3258].start 24099.84284375
transcript.pyannote[3258].end 24102.72846875
transcript.pyannote[3259].speaker SPEAKER_10
transcript.pyannote[3259].start 24102.96471875
transcript.pyannote[3259].end 24107.55471875
transcript.pyannote[3260].speaker SPEAKER_10
transcript.pyannote[3260].start 24108.07784375
transcript.pyannote[3260].end 24110.74409375
transcript.pyannote[3261].speaker SPEAKER_16
transcript.pyannote[3261].start 24110.44034375
transcript.pyannote[3261].end 24112.70159375
transcript.pyannote[3262].speaker SPEAKER_16
transcript.pyannote[3262].start 24113.15721875
transcript.pyannote[3262].end 24117.17346875
transcript.pyannote[3263].speaker SPEAKER_10
transcript.pyannote[3263].start 24117.17346875
transcript.pyannote[3263].end 24117.20721875
transcript.pyannote[3264].speaker SPEAKER_16
transcript.pyannote[3264].start 24117.32534375
transcript.pyannote[3264].end 24118.03409375
transcript.pyannote[3265].speaker SPEAKER_10
transcript.pyannote[3265].start 24117.34221875
transcript.pyannote[3265].end 24118.37159375
transcript.pyannote[3266].speaker SPEAKER_10
transcript.pyannote[3266].start 24118.91159375
transcript.pyannote[3266].end 24119.53596875
transcript.pyannote[3267].speaker SPEAKER_10
transcript.pyannote[3267].start 24120.16034375
transcript.pyannote[3267].end 24127.77096875
transcript.pyannote[3268].speaker SPEAKER_10
transcript.pyannote[3268].start 24128.12534375
transcript.pyannote[3268].end 24131.73659375
transcript.pyannote[3269].speaker SPEAKER_10
transcript.pyannote[3269].start 24132.00659375
transcript.pyannote[3269].end 24135.92159375
transcript.pyannote[3270].speaker SPEAKER_10
transcript.pyannote[3270].start 24136.52909375
transcript.pyannote[3270].end 24140.66346875
transcript.pyannote[3271].speaker SPEAKER_10
transcript.pyannote[3271].start 24140.84909375
transcript.pyannote[3271].end 24141.84471875
transcript.pyannote[3272].speaker SPEAKER_10
transcript.pyannote[3272].start 24142.23284375
transcript.pyannote[3272].end 24143.58284375
transcript.pyannote[3273].speaker SPEAKER_10
transcript.pyannote[3273].start 24143.66721875
transcript.pyannote[3273].end 24145.81034375
transcript.pyannote[3274].speaker SPEAKER_10
transcript.pyannote[3274].start 24146.28284375
transcript.pyannote[3274].end 24147.63284375
transcript.pyannote[3275].speaker SPEAKER_10
transcript.pyannote[3275].start 24147.93659375
transcript.pyannote[3275].end 24148.32471875
transcript.pyannote[3276].speaker SPEAKER_10
transcript.pyannote[3276].start 24148.72971875
transcript.pyannote[3276].end 24151.71659375
transcript.pyannote[3277].speaker SPEAKER_10
transcript.pyannote[3277].start 24151.98659375
transcript.pyannote[3277].end 24153.25221875
transcript.pyannote[3278].speaker SPEAKER_10
transcript.pyannote[3278].start 24153.26909375
transcript.pyannote[3278].end 24156.03659375
transcript.pyannote[3279].speaker SPEAKER_10
transcript.pyannote[3279].start 24156.25596875
transcript.pyannote[3279].end 24167.98409375
transcript.pyannote[3280].speaker SPEAKER_22
transcript.pyannote[3280].start 24167.98409375
transcript.pyannote[3280].end 24192.33471875
transcript.pyannote[3281].speaker SPEAKER_10
transcript.pyannote[3281].start 24168.42284375
transcript.pyannote[3281].end 24168.72659375
transcript.pyannote[3282].speaker SPEAKER_10
transcript.pyannote[3282].start 24181.72034375
transcript.pyannote[3282].end 24184.63971875
transcript.pyannote[3283].speaker SPEAKER_10
transcript.pyannote[3283].start 24191.52471875
transcript.pyannote[3283].end 24192.62159375
transcript.pyannote[3284].speaker SPEAKER_10
transcript.pyannote[3284].start 24192.95909375
transcript.pyannote[3284].end 24201.61596875
transcript.pyannote[3285].speaker SPEAKER_10
transcript.pyannote[3285].start 24202.18971875
transcript.pyannote[3285].end 24205.59846875
transcript.pyannote[3286].speaker SPEAKER_10
transcript.pyannote[3286].start 24206.05409375
transcript.pyannote[3286].end 24209.86784375
transcript.pyannote[3287].speaker SPEAKER_10
transcript.pyannote[3287].start 24210.42471875
transcript.pyannote[3287].end 24210.69471875
transcript.pyannote[3288].speaker SPEAKER_10
transcript.pyannote[3288].start 24211.25159375
transcript.pyannote[3288].end 24211.53846875
transcript.pyannote[3289].speaker SPEAKER_10
transcript.pyannote[3289].start 24211.90971875
transcript.pyannote[3289].end 24213.71534375
transcript.pyannote[3290].speaker SPEAKER_10
transcript.pyannote[3290].start 24214.42409375
transcript.pyannote[3290].end 24214.96409375
transcript.pyannote[3291].speaker SPEAKER_10
transcript.pyannote[3291].start 24215.38596875
transcript.pyannote[3291].end 24216.06096875
transcript.pyannote[3292].speaker SPEAKER_10
transcript.pyannote[3292].start 24216.44909375
transcript.pyannote[3292].end 24219.73971875
transcript.pyannote[3293].speaker SPEAKER_10
transcript.pyannote[3293].start 24219.87471875
transcript.pyannote[3293].end 24221.62971875
transcript.pyannote[3294].speaker SPEAKER_10
transcript.pyannote[3294].start 24222.06846875
transcript.pyannote[3294].end 24233.29034375
transcript.pyannote[3295].speaker SPEAKER_10
transcript.pyannote[3295].start 24233.54346875
transcript.pyannote[3295].end 24235.55159375
transcript.pyannote[3296].speaker SPEAKER_10
transcript.pyannote[3296].start 24236.29409375
transcript.pyannote[3296].end 24243.29721875
transcript.pyannote[3297].speaker SPEAKER_22
transcript.pyannote[3297].start 24243.61784375
transcript.pyannote[3297].end 24254.58659375
transcript.pyannote[3298].speaker SPEAKER_22
transcript.pyannote[3298].start 24254.67096875
transcript.pyannote[3298].end 24263.83409375
transcript.pyannote[3299].speaker SPEAKER_22
transcript.pyannote[3299].start 24264.00284375
transcript.pyannote[3299].end 24270.92159375
transcript.pyannote[3300].speaker SPEAKER_22
transcript.pyannote[3300].start 24271.02284375
transcript.pyannote[3300].end 24274.33034375
transcript.pyannote[3301].speaker SPEAKER_10
transcript.pyannote[3301].start 24274.43159375
transcript.pyannote[3301].end 24279.44346875
transcript.pyannote[3302].speaker SPEAKER_22
transcript.pyannote[3302].start 24279.73034375
transcript.pyannote[3302].end 24284.05034375
transcript.pyannote[3303].speaker SPEAKER_16
transcript.pyannote[3303].start 24282.26159375
transcript.pyannote[3303].end 24282.56534375
transcript.pyannote[3304].speaker SPEAKER_16
transcript.pyannote[3304].start 24282.75096875
transcript.pyannote[3304].end 24283.66221875
transcript.pyannote[3305].speaker SPEAKER_10
transcript.pyannote[3305].start 24283.66221875
transcript.pyannote[3305].end 24283.83096875
transcript.pyannote[3306].speaker SPEAKER_16
transcript.pyannote[3306].start 24283.83096875
transcript.pyannote[3306].end 24288.28596875
transcript.pyannote[3307].speaker SPEAKER_16
transcript.pyannote[3307].start 24288.69096875
transcript.pyannote[3307].end 24289.39971875
transcript.pyannote[3308].speaker SPEAKER_16
transcript.pyannote[3308].start 24289.58534375
transcript.pyannote[3308].end 24290.36159375
transcript.pyannote[3309].speaker SPEAKER_16
transcript.pyannote[3309].start 24290.47971875
transcript.pyannote[3309].end 24292.84221875
transcript.pyannote[3310].speaker SPEAKER_16
transcript.pyannote[3310].start 24293.14596875
transcript.pyannote[3310].end 24294.95159375
transcript.pyannote[3311].speaker SPEAKER_16
transcript.pyannote[3311].start 24295.08659375
transcript.pyannote[3311].end 24299.11971875
transcript.pyannote[3312].speaker SPEAKER_16
transcript.pyannote[3312].start 24299.79471875
transcript.pyannote[3312].end 24300.67221875
transcript.pyannote[3313].speaker SPEAKER_16
transcript.pyannote[3313].start 24301.14471875
transcript.pyannote[3313].end 24302.42721875
transcript.pyannote[3314].speaker SPEAKER_16
transcript.pyannote[3314].start 24302.74784375
transcript.pyannote[3314].end 24308.58659375
transcript.pyannote[3315].speaker SPEAKER_10
transcript.pyannote[3315].start 24308.29971875
transcript.pyannote[3315].end 24310.42596875
transcript.pyannote[3316].speaker SPEAKER_16
transcript.pyannote[3316].start 24310.42596875
transcript.pyannote[3316].end 24311.20221875
transcript.pyannote[3317].speaker SPEAKER_10
transcript.pyannote[3317].start 24311.20221875
transcript.pyannote[3317].end 24315.04971875
transcript.pyannote[3318].speaker SPEAKER_16
transcript.pyannote[3318].start 24311.23596875
transcript.pyannote[3318].end 24311.38784375
transcript.pyannote[3319].speaker SPEAKER_26
transcript.pyannote[3319].start 24311.38784375
transcript.pyannote[3319].end 24311.62409375
transcript.pyannote[3320].speaker SPEAKER_10
transcript.pyannote[3320].start 24315.48846875
transcript.pyannote[3320].end 24319.08284375
transcript.pyannote[3321].speaker SPEAKER_10
transcript.pyannote[3321].start 24319.62284375
transcript.pyannote[3321].end 24323.35221875
transcript.pyannote[3322].speaker SPEAKER_10
transcript.pyannote[3322].start 24323.50409375
transcript.pyannote[3322].end 24327.36846875
transcript.pyannote[3323].speaker SPEAKER_10
transcript.pyannote[3323].start 24328.11096875
transcript.pyannote[3323].end 24331.57034375
transcript.pyannote[3324].speaker SPEAKER_10
transcript.pyannote[3324].start 24331.99221875
transcript.pyannote[3324].end 24333.61221875
transcript.pyannote[3325].speaker SPEAKER_10
transcript.pyannote[3325].start 24333.89909375
transcript.pyannote[3325].end 24345.42471875
transcript.pyannote[3326].speaker SPEAKER_10
transcript.pyannote[3326].start 24345.81284375
transcript.pyannote[3326].end 24349.76159375
transcript.pyannote[3327].speaker SPEAKER_10
transcript.pyannote[3327].start 24349.99784375
transcript.pyannote[3327].end 24354.94221875
transcript.pyannote[3328].speaker SPEAKER_10
transcript.pyannote[3328].start 24360.05534375
transcript.pyannote[3328].end 24362.06346875
transcript.pyannote[3329].speaker SPEAKER_10
transcript.pyannote[3329].start 24362.51909375
transcript.pyannote[3329].end 24365.97846875
transcript.pyannote[3330].speaker SPEAKER_10
transcript.pyannote[3330].start 24366.11346875
transcript.pyannote[3330].end 24368.62784375
transcript.pyannote[3331].speaker SPEAKER_10
transcript.pyannote[3331].start 24369.03284375
transcript.pyannote[3331].end 24372.79596875
transcript.pyannote[3332].speaker SPEAKER_10
transcript.pyannote[3332].start 24373.13346875
transcript.pyannote[3332].end 24375.46221875
transcript.pyannote[3333].speaker SPEAKER_10
transcript.pyannote[3333].start 24375.66471875
transcript.pyannote[3333].end 24378.34784375
transcript.pyannote[3334].speaker SPEAKER_10
transcript.pyannote[3334].start 24378.63471875
transcript.pyannote[3334].end 24386.59971875
transcript.pyannote[3335].speaker SPEAKER_10
transcript.pyannote[3335].start 24386.81909375
transcript.pyannote[3335].end 24398.24346875
transcript.pyannote[3336].speaker SPEAKER_10
transcript.pyannote[3336].start 24399.03659375
transcript.pyannote[3336].end 24399.07034375
transcript.pyannote[3337].speaker SPEAKER_16
transcript.pyannote[3337].start 24399.07034375
transcript.pyannote[3337].end 24402.47909375
transcript.pyannote[3338].speaker SPEAKER_10
transcript.pyannote[3338].start 24403.03596875
transcript.pyannote[3338].end 24405.49971875
transcript.pyannote[3339].speaker SPEAKER_16
transcript.pyannote[3339].start 24405.49971875
transcript.pyannote[3339].end 24410.44409375
transcript.pyannote[3340].speaker SPEAKER_10
transcript.pyannote[3340].start 24409.66784375
transcript.pyannote[3340].end 24412.53659375
transcript.pyannote[3341].speaker SPEAKER_16
transcript.pyannote[3341].start 24412.03034375
transcript.pyannote[3341].end 24414.10596875
transcript.pyannote[3342].speaker SPEAKER_10
transcript.pyannote[3342].start 24414.10596875
transcript.pyannote[3342].end 24414.17346875
transcript.pyannote[3343].speaker SPEAKER_24
transcript.pyannote[3343].start 24414.12284375
transcript.pyannote[3343].end 24419.91096875
transcript.pyannote[3344].speaker SPEAKER_16
transcript.pyannote[3344].start 24414.17346875
transcript.pyannote[3344].end 24414.52784375
transcript.pyannote[3345].speaker SPEAKER_24
transcript.pyannote[3345].start 24420.11346875
transcript.pyannote[3345].end 24421.96971875
transcript.pyannote[3346].speaker SPEAKER_10
transcript.pyannote[3346].start 24421.58159375
transcript.pyannote[3346].end 24432.28034375
transcript.pyannote[3347].speaker SPEAKER_24
transcript.pyannote[3347].start 24425.29409375
transcript.pyannote[3347].end 24426.89721875
transcript.pyannote[3348].speaker SPEAKER_24
transcript.pyannote[3348].start 24429.49596875
transcript.pyannote[3348].end 24440.81909375
transcript.pyannote[3349].speaker SPEAKER_10
transcript.pyannote[3349].start 24440.85284375
transcript.pyannote[3349].end 24447.02909375
transcript.pyannote[3350].speaker SPEAKER_10
transcript.pyannote[3350].start 24447.36659375
transcript.pyannote[3350].end 24449.89784375
transcript.pyannote[3351].speaker SPEAKER_10
transcript.pyannote[3351].start 24450.15096875
transcript.pyannote[3351].end 24451.46721875
transcript.pyannote[3352].speaker SPEAKER_10
transcript.pyannote[3352].start 24451.82159375
transcript.pyannote[3352].end 24452.98596875
transcript.pyannote[3353].speaker SPEAKER_10
transcript.pyannote[3353].start 24453.34034375
transcript.pyannote[3353].end 24456.24284375
transcript.pyannote[3354].speaker SPEAKER_10
transcript.pyannote[3354].start 24456.51284375
transcript.pyannote[3354].end 24458.14971875
transcript.pyannote[3355].speaker SPEAKER_10
transcript.pyannote[3355].start 24458.70659375
transcript.pyannote[3355].end 24459.12846875
transcript.pyannote[3356].speaker SPEAKER_10
transcript.pyannote[3356].start 24459.56721875
transcript.pyannote[3356].end 24460.09034375
transcript.pyannote[3357].speaker SPEAKER_10
transcript.pyannote[3357].start 24460.17471875
transcript.pyannote[3357].end 24466.60409375
transcript.pyannote[3358].speaker SPEAKER_10
transcript.pyannote[3358].start 24466.65471875
transcript.pyannote[3358].end 24473.06721875
transcript.pyannote[3359].speaker SPEAKER_10
transcript.pyannote[3359].start 24473.32034375
transcript.pyannote[3359].end 24474.02909375
transcript.pyannote[3360].speaker SPEAKER_10
transcript.pyannote[3360].start 24474.14721875
transcript.pyannote[3360].end 24474.73784375
transcript.pyannote[3361].speaker SPEAKER_10
transcript.pyannote[3361].start 24475.05846875
transcript.pyannote[3361].end 24477.30284375
transcript.pyannote[3362].speaker SPEAKER_10
transcript.pyannote[3362].start 24477.47159375
transcript.pyannote[3362].end 24479.91846875
transcript.pyannote[3363].speaker SPEAKER_10
transcript.pyannote[3363].start 24480.30659375
transcript.pyannote[3363].end 24483.00659375
transcript.pyannote[3364].speaker SPEAKER_10
transcript.pyannote[3364].start 24484.82909375
transcript.pyannote[3364].end 24486.80346875
transcript.pyannote[3365].speaker SPEAKER_10
transcript.pyannote[3365].start 24487.22534375
transcript.pyannote[3365].end 24493.40159375
transcript.pyannote[3366].speaker SPEAKER_10
transcript.pyannote[3366].start 24494.22846875
transcript.pyannote[3366].end 24500.62409375
transcript.pyannote[3367].speaker SPEAKER_10
transcript.pyannote[3367].start 24500.80971875
transcript.pyannote[3367].end 24503.02034375
transcript.pyannote[3368].speaker SPEAKER_10
transcript.pyannote[3368].start 24503.39159375
transcript.pyannote[3368].end 24507.15471875
transcript.pyannote[3369].speaker SPEAKER_10
transcript.pyannote[3369].start 24507.42471875
transcript.pyannote[3369].end 24508.40346875
transcript.pyannote[3370].speaker SPEAKER_16
transcript.pyannote[3370].start 24508.99409375
transcript.pyannote[3370].end 24521.59971875
transcript.pyannote[3371].speaker SPEAKER_10
transcript.pyannote[3371].start 24514.86659375
transcript.pyannote[3371].end 24517.41471875
transcript.pyannote[3372].speaker SPEAKER_10
transcript.pyannote[3372].start 24521.02596875
transcript.pyannote[3372].end 24533.37846875
transcript.pyannote[3373].speaker SPEAKER_16
transcript.pyannote[3373].start 24526.93221875
transcript.pyannote[3373].end 24527.77596875
transcript.pyannote[3374].speaker SPEAKER_10
transcript.pyannote[3374].start 24533.41221875
transcript.pyannote[3374].end 24543.30096875
transcript.pyannote[3375].speaker SPEAKER_16
transcript.pyannote[3375].start 24543.85784375
transcript.pyannote[3375].end 24551.72159375
transcript.pyannote[3376].speaker SPEAKER_16
transcript.pyannote[3376].start 24551.80596875
transcript.pyannote[3376].end 24551.83971875
transcript.pyannote[3377].speaker SPEAKER_10
transcript.pyannote[3377].start 24551.83971875
transcript.pyannote[3377].end 24552.83534375
transcript.pyannote[3378].speaker SPEAKER_16
transcript.pyannote[3378].start 24552.83534375
transcript.pyannote[3378].end 24553.74659375
transcript.pyannote[3379].speaker SPEAKER_07
transcript.pyannote[3379].start 24552.86909375
transcript.pyannote[3379].end 24553.29096875
transcript.pyannote[3380].speaker SPEAKER_10
transcript.pyannote[3380].start 24553.29096875
transcript.pyannote[3380].end 24553.34159375
transcript.pyannote[3381].speaker SPEAKER_07
transcript.pyannote[3381].start 24555.46784375
transcript.pyannote[3381].end 24559.85534375
transcript.pyannote[3382].speaker SPEAKER_07
transcript.pyannote[3382].start 24567.63471875
transcript.pyannote[3382].end 24571.81971875
transcript.pyannote[3383].speaker SPEAKER_23
transcript.pyannote[3383].start 24576.86534375
transcript.pyannote[3383].end 24578.06346875
transcript.pyannote[3384].speaker SPEAKER_23
transcript.pyannote[3384].start 24578.51909375
transcript.pyannote[3384].end 24580.35846875
transcript.pyannote[3385].speaker SPEAKER_07
transcript.pyannote[3385].start 24580.66221875
transcript.pyannote[3385].end 24582.51846875
transcript.pyannote[3386].speaker SPEAKER_16
transcript.pyannote[3386].start 24591.83346875
transcript.pyannote[3386].end 24592.37346875
transcript.pyannote[3387].speaker SPEAKER_23
transcript.pyannote[3387].start 24592.57596875
transcript.pyannote[3387].end 24593.18346875
transcript.pyannote[3388].speaker SPEAKER_23
transcript.pyannote[3388].start 24593.63909375
transcript.pyannote[3388].end 24597.43596875
transcript.pyannote[3389].speaker SPEAKER_23
transcript.pyannote[3389].start 24597.99284375
transcript.pyannote[3389].end 24601.08096875
transcript.pyannote[3390].speaker SPEAKER_23
transcript.pyannote[3390].start 24601.60409375
transcript.pyannote[3390].end 24607.05471875
transcript.pyannote[3391].speaker SPEAKER_23
transcript.pyannote[3391].start 24607.40909375
transcript.pyannote[3391].end 24625.38096875
transcript.pyannote[3392].speaker SPEAKER_23
transcript.pyannote[3392].start 24625.66784375
transcript.pyannote[3392].end 24657.17346875
transcript.pyannote[3393].speaker SPEAKER_23
transcript.pyannote[3393].start 24657.74721875
transcript.pyannote[3393].end 24687.86909375
transcript.pyannote[3394].speaker SPEAKER_02
transcript.pyannote[3394].start 24668.47971875
transcript.pyannote[3394].end 24668.74971875
transcript.pyannote[3395].speaker SPEAKER_23
transcript.pyannote[3395].start 24688.45971875
transcript.pyannote[3395].end 24719.29034375
transcript.pyannote[3396].speaker SPEAKER_23
transcript.pyannote[3396].start 24720.30284375
transcript.pyannote[3396].end 24721.68659375
transcript.pyannote[3397].speaker SPEAKER_23
transcript.pyannote[3397].start 24722.96909375
transcript.pyannote[3397].end 24733.93784375
transcript.pyannote[3398].speaker SPEAKER_23
transcript.pyannote[3398].start 24734.14034375
transcript.pyannote[3398].end 24734.96721875
transcript.pyannote[3399].speaker SPEAKER_23
transcript.pyannote[3399].start 24735.65909375
transcript.pyannote[3399].end 24743.38784375
transcript.pyannote[3400].speaker SPEAKER_23
transcript.pyannote[3400].start 24743.82659375
transcript.pyannote[3400].end 24755.41971875
transcript.pyannote[3401].speaker SPEAKER_23
transcript.pyannote[3401].start 24755.50409375
transcript.pyannote[3401].end 24756.11159375
transcript.pyannote[3402].speaker SPEAKER_23
transcript.pyannote[3402].start 24756.88784375
transcript.pyannote[3402].end 24761.89971875
transcript.pyannote[3403].speaker SPEAKER_16
transcript.pyannote[3403].start 24762.65909375
transcript.pyannote[3403].end 24771.55221875
transcript.pyannote[3404].speaker SPEAKER_16
transcript.pyannote[3404].start 24771.56909375
transcript.pyannote[3404].end 24775.36596875
transcript.pyannote[3405].speaker SPEAKER_16
transcript.pyannote[3405].start 24775.58534375
transcript.pyannote[3405].end 24776.53034375
transcript.pyannote[3406].speaker SPEAKER_16
transcript.pyannote[3406].start 24776.96909375
transcript.pyannote[3406].end 24779.88846875
transcript.pyannote[3407].speaker SPEAKER_16
transcript.pyannote[3407].start 24779.92221875
transcript.pyannote[3407].end 24784.57971875
transcript.pyannote[3408].speaker SPEAKER_16
transcript.pyannote[3408].start 24784.68096875
transcript.pyannote[3408].end 24794.04659375
transcript.pyannote[3409].speaker SPEAKER_23
transcript.pyannote[3409].start 24794.11409375
transcript.pyannote[3409].end 24794.80596875
transcript.pyannote[3410].speaker SPEAKER_23
transcript.pyannote[3410].start 24795.64971875
transcript.pyannote[3410].end 24804.40784375
transcript.pyannote[3411].speaker SPEAKER_23
transcript.pyannote[3411].start 24804.79596875
transcript.pyannote[3411].end 24808.15409375
transcript.pyannote[3412].speaker SPEAKER_23
transcript.pyannote[3412].start 24808.54221875
transcript.pyannote[3412].end 24821.38409375
transcript.pyannote[3413].speaker SPEAKER_23
transcript.pyannote[3413].start 24821.83971875
transcript.pyannote[3413].end 24850.56096875
transcript.pyannote[3414].speaker SPEAKER_23
transcript.pyannote[3414].start 24851.08409375
transcript.pyannote[3414].end 24953.83596875
transcript.pyannote[3415].speaker SPEAKER_23
transcript.pyannote[3415].start 24954.35909375
transcript.pyannote[3415].end 24955.18596875
transcript.pyannote[3416].speaker SPEAKER_18
transcript.pyannote[3416].start 24955.70909375
transcript.pyannote[3416].end 24957.59909375
transcript.pyannote[3417].speaker SPEAKER_23
transcript.pyannote[3417].start 24957.36284375
transcript.pyannote[3417].end 24958.29096875
transcript.pyannote[3418].speaker SPEAKER_23
transcript.pyannote[3418].start 24958.74659375
transcript.pyannote[3418].end 24959.74221875
transcript.pyannote[3419].speaker SPEAKER_23
transcript.pyannote[3419].start 24960.61971875
transcript.pyannote[3419].end 24961.78409375
transcript.pyannote[3420].speaker SPEAKER_18
transcript.pyannote[3420].start 24962.18909375
transcript.pyannote[3420].end 24962.96534375
transcript.pyannote[3421].speaker SPEAKER_16
transcript.pyannote[3421].start 24962.45909375
transcript.pyannote[3421].end 24964.80471875
transcript.pyannote[3422].speaker SPEAKER_18
transcript.pyannote[3422].start 24963.80909375
transcript.pyannote[3422].end 24964.16346875
transcript.pyannote[3423].speaker SPEAKER_18
transcript.pyannote[3423].start 24964.75409375
transcript.pyannote[3423].end 24971.21721875
transcript.pyannote[3424].speaker SPEAKER_18
transcript.pyannote[3424].start 24971.65596875
transcript.pyannote[3424].end 24972.04409375
transcript.pyannote[3425].speaker SPEAKER_18
transcript.pyannote[3425].start 24972.58409375
transcript.pyannote[3425].end 24980.24534375
transcript.pyannote[3426].speaker SPEAKER_18
transcript.pyannote[3426].start 24980.70096875
transcript.pyannote[3426].end 24982.86096875
transcript.pyannote[3427].speaker SPEAKER_18
transcript.pyannote[3427].start 24983.33346875
transcript.pyannote[3427].end 24992.83409375
transcript.pyannote[3428].speaker SPEAKER_23
transcript.pyannote[3428].start 24989.77971875
transcript.pyannote[3428].end 24995.63534375
transcript.pyannote[3429].speaker SPEAKER_18
transcript.pyannote[3429].start 24995.80409375
transcript.pyannote[3429].end 24995.82096875
transcript.pyannote[3430].speaker SPEAKER_23
transcript.pyannote[3430].start 24995.82096875
transcript.pyannote[3430].end 24997.66034375
transcript.pyannote[3431].speaker SPEAKER_18
transcript.pyannote[3431].start 24995.83784375
transcript.pyannote[3431].end 24996.42846875
transcript.pyannote[3432].speaker SPEAKER_18
transcript.pyannote[3432].start 24997.28909375
transcript.pyannote[3432].end 25019.44596875
transcript.pyannote[3433].speaker SPEAKER_23
transcript.pyannote[3433].start 25018.90596875
transcript.pyannote[3433].end 25020.32346875
transcript.pyannote[3434].speaker SPEAKER_18
transcript.pyannote[3434].start 25020.40784375
transcript.pyannote[3434].end 25032.64221875
transcript.pyannote[3435].speaker SPEAKER_23
transcript.pyannote[3435].start 25032.72659375
transcript.pyannote[3435].end 25033.51971875
transcript.pyannote[3436].speaker SPEAKER_23
transcript.pyannote[3436].start 25033.87409375
transcript.pyannote[3436].end 25059.16971875
transcript.pyannote[3437].speaker SPEAKER_16
transcript.pyannote[3437].start 25059.77721875
transcript.pyannote[3437].end 25064.31659375
transcript.pyannote[3438].speaker SPEAKER_23
transcript.pyannote[3438].start 25063.35471875
transcript.pyannote[3438].end 25066.03784375
transcript.pyannote[3439].speaker SPEAKER_23
transcript.pyannote[3439].start 25066.54409375
transcript.pyannote[3439].end 25067.86034375
transcript.pyannote[3440].speaker SPEAKER_16
transcript.pyannote[3440].start 25067.86034375
transcript.pyannote[3440].end 25068.29909375
transcript.pyannote[3441].speaker SPEAKER_16
transcript.pyannote[3441].start 25068.77159375
transcript.pyannote[3441].end 25074.49221875
transcript.pyannote[3442].speaker SPEAKER_23
transcript.pyannote[3442].start 25073.96909375
transcript.pyannote[3442].end 25100.36159375
transcript.pyannote[3443].speaker SPEAKER_26
transcript.pyannote[3443].start 25075.50471875
transcript.pyannote[3443].end 25076.43284375
transcript.pyannote[3444].speaker SPEAKER_15
transcript.pyannote[3444].start 25077.12471875
transcript.pyannote[3444].end 25077.14159375
transcript.pyannote[3445].speaker SPEAKER_34
transcript.pyannote[3445].start 25077.14159375
transcript.pyannote[3445].end 25077.17534375
transcript.pyannote[3446].speaker SPEAKER_16
transcript.pyannote[3446].start 25077.17534375
transcript.pyannote[3446].end 25078.00221875
transcript.pyannote[3447].speaker SPEAKER_16
transcript.pyannote[3447].start 25079.25096875
transcript.pyannote[3447].end 25079.82471875
transcript.pyannote[3448].speaker SPEAKER_15
transcript.pyannote[3448].start 25081.95096875
transcript.pyannote[3448].end 25083.63846875
transcript.pyannote[3449].speaker SPEAKER_15
transcript.pyannote[3449].start 25084.68471875
transcript.pyannote[3449].end 25085.46096875
transcript.pyannote[3450].speaker SPEAKER_16
transcript.pyannote[3450].start 25100.91846875
transcript.pyannote[3450].end 25105.52534375
transcript.pyannote[3451].speaker SPEAKER_23
transcript.pyannote[3451].start 25102.55534375
transcript.pyannote[3451].end 25104.51284375
transcript.pyannote[3452].speaker SPEAKER_23
transcript.pyannote[3452].start 25104.76596875
transcript.pyannote[3452].end 25106.20034375
transcript.pyannote[3453].speaker SPEAKER_16
transcript.pyannote[3453].start 25106.20034375
transcript.pyannote[3453].end 25118.85659375
transcript.pyannote[3454].speaker SPEAKER_23
transcript.pyannote[3454].start 25114.77284375
transcript.pyannote[3454].end 25115.34659375
transcript.pyannote[3455].speaker SPEAKER_23
transcript.pyannote[3455].start 25116.96659375
transcript.pyannote[3455].end 25117.48971875
transcript.pyannote[3456].speaker SPEAKER_23
transcript.pyannote[3456].start 25118.55284375
transcript.pyannote[3456].end 25118.83971875
transcript.pyannote[3457].speaker SPEAKER_23
transcript.pyannote[3457].start 25118.85659375
transcript.pyannote[3457].end 25118.97471875
transcript.pyannote[3458].speaker SPEAKER_23
transcript.pyannote[3458].start 25119.37971875
transcript.pyannote[3458].end 25139.76471875
transcript.pyannote[3459].speaker SPEAKER_00
transcript.pyannote[3459].start 25131.98534375
transcript.pyannote[3459].end 25132.03596875
transcript.pyannote[3460].speaker SPEAKER_25
transcript.pyannote[3460].start 25132.03596875
transcript.pyannote[3460].end 25132.27221875
transcript.pyannote[3461].speaker SPEAKER_00
transcript.pyannote[3461].start 25132.55909375
transcript.pyannote[3461].end 25132.60971875
transcript.pyannote[3462].speaker SPEAKER_25
transcript.pyannote[3462].start 25132.60971875
transcript.pyannote[3462].end 25133.36909375
transcript.pyannote[3463].speaker SPEAKER_00
transcript.pyannote[3463].start 25133.36909375
transcript.pyannote[3463].end 25133.57159375
transcript.pyannote[3464].speaker SPEAKER_25
transcript.pyannote[3464].start 25133.57159375
transcript.pyannote[3464].end 25134.06096875
transcript.pyannote[3465].speaker SPEAKER_00
transcript.pyannote[3465].start 25134.06096875
transcript.pyannote[3465].end 25134.07784375
transcript.pyannote[3466].speaker SPEAKER_23
transcript.pyannote[3466].start 25140.20346875
transcript.pyannote[3466].end 25140.65909375
transcript.pyannote[3467].speaker SPEAKER_16
transcript.pyannote[3467].start 25141.43534375
transcript.pyannote[3467].end 25141.73909375
transcript.pyannote[3468].speaker SPEAKER_23
transcript.pyannote[3468].start 25141.73909375
transcript.pyannote[3468].end 25141.80659375
transcript.pyannote[3469].speaker SPEAKER_16
transcript.pyannote[3469].start 25141.80659375
transcript.pyannote[3469].end 25142.04284375
transcript.pyannote[3470].speaker SPEAKER_23
transcript.pyannote[3470].start 25142.04284375
transcript.pyannote[3470].end 25142.09346875
transcript.pyannote[3471].speaker SPEAKER_16
transcript.pyannote[3471].start 25142.09346875
transcript.pyannote[3471].end 25142.12721875
transcript.pyannote[3472].speaker SPEAKER_16
transcript.pyannote[3472].start 25142.44784375
transcript.pyannote[3472].end 25151.35784375
transcript.pyannote[3473].speaker SPEAKER_23
transcript.pyannote[3473].start 25149.16409375
transcript.pyannote[3473].end 25150.42971875
transcript.pyannote[3474].speaker SPEAKER_16
transcript.pyannote[3474].start 25151.69534375
transcript.pyannote[3474].end 25153.02846875
transcript.pyannote[3475].speaker SPEAKER_23
transcript.pyannote[3475].start 25153.02846875
transcript.pyannote[3475].end 25155.52596875
transcript.pyannote[3476].speaker SPEAKER_23
transcript.pyannote[3476].start 25155.91409375
transcript.pyannote[3476].end 25156.97721875
transcript.pyannote[3477].speaker SPEAKER_23
transcript.pyannote[3477].start 25157.36534375
transcript.pyannote[3477].end 25163.87909375
transcript.pyannote[3478].speaker SPEAKER_23
transcript.pyannote[3478].start 25164.11534375
transcript.pyannote[3478].end 25169.27909375
transcript.pyannote[3479].speaker SPEAKER_23
transcript.pyannote[3479].start 25169.71784375
transcript.pyannote[3479].end 25170.67971875
transcript.pyannote[3480].speaker SPEAKER_23
transcript.pyannote[3480].start 25171.18596875
transcript.pyannote[3480].end 25174.69596875
transcript.pyannote[3481].speaker SPEAKER_23
transcript.pyannote[3481].start 25175.06721875
transcript.pyannote[3481].end 25176.13034375
transcript.pyannote[3482].speaker SPEAKER_23
transcript.pyannote[3482].start 25176.67034375
transcript.pyannote[3482].end 25179.80909375
transcript.pyannote[3483].speaker SPEAKER_23
transcript.pyannote[3483].start 25180.21409375
transcript.pyannote[3483].end 25194.15284375
transcript.pyannote[3484].speaker SPEAKER_23
transcript.pyannote[3484].start 25194.62534375
transcript.pyannote[3484].end 25196.65034375
transcript.pyannote[3485].speaker SPEAKER_23
transcript.pyannote[3485].start 25197.03846875
transcript.pyannote[3485].end 25211.51721875
transcript.pyannote[3486].speaker SPEAKER_23
transcript.pyannote[3486].start 25211.80409375
transcript.pyannote[3486].end 25272.46971875
transcript.pyannote[3487].speaker SPEAKER_23
transcript.pyannote[3487].start 25272.75659375
transcript.pyannote[3487].end 25287.40409375
transcript.pyannote[3488].speaker SPEAKER_23
transcript.pyannote[3488].start 25288.12971875
transcript.pyannote[3488].end 25289.10846875
transcript.pyannote[3489].speaker SPEAKER_23
transcript.pyannote[3489].start 25289.19284375
transcript.pyannote[3489].end 25289.69909375
transcript.pyannote[3490].speaker SPEAKER_23
transcript.pyannote[3490].start 25290.18846875
transcript.pyannote[3490].end 25294.22159375
transcript.pyannote[3491].speaker SPEAKER_23
transcript.pyannote[3491].start 25294.76159375
transcript.pyannote[3491].end 25307.85659375
transcript.pyannote[3492].speaker SPEAKER_23
transcript.pyannote[3492].start 25307.99159375
transcript.pyannote[3492].end 25321.12034375
transcript.pyannote[3493].speaker SPEAKER_23
transcript.pyannote[3493].start 25321.54221875
transcript.pyannote[3493].end 25325.45721875
transcript.pyannote[3494].speaker SPEAKER_23
transcript.pyannote[3494].start 25325.92971875
transcript.pyannote[3494].end 25333.21971875
transcript.pyannote[3495].speaker SPEAKER_23
transcript.pyannote[3495].start 25333.55721875
transcript.pyannote[3495].end 25335.16034375
transcript.pyannote[3496].speaker SPEAKER_23
transcript.pyannote[3496].start 25335.36284375
transcript.pyannote[3496].end 25340.23971875
transcript.pyannote[3497].speaker SPEAKER_23
transcript.pyannote[3497].start 25340.71221875
transcript.pyannote[3497].end 25345.63971875
transcript.pyannote[3498].speaker SPEAKER_23
transcript.pyannote[3498].start 25345.89284375
transcript.pyannote[3498].end 25350.73596875
transcript.pyannote[3499].speaker SPEAKER_23
transcript.pyannote[3499].start 25351.56284375
transcript.pyannote[3499].end 25352.15346875
transcript.pyannote[3500].speaker SPEAKER_23
transcript.pyannote[3500].start 25352.64284375
transcript.pyannote[3500].end 25353.58784375
transcript.pyannote[3501].speaker SPEAKER_23
transcript.pyannote[3501].start 25353.97596875
transcript.pyannote[3501].end 25358.39721875
transcript.pyannote[3502].speaker SPEAKER_23
transcript.pyannote[3502].start 25358.51534375
transcript.pyannote[3502].end 25378.47846875
transcript.pyannote[3503].speaker SPEAKER_23
transcript.pyannote[3503].start 25378.91721875
transcript.pyannote[3503].end 25380.87471875
transcript.pyannote[3504].speaker SPEAKER_23
transcript.pyannote[3504].start 25381.06034375
transcript.pyannote[3504].end 25385.38034375
transcript.pyannote[3505].speaker SPEAKER_23
transcript.pyannote[3505].start 25385.80221875
transcript.pyannote[3505].end 25395.79221875
transcript.pyannote[3506].speaker SPEAKER_23
transcript.pyannote[3506].start 25396.06221875
transcript.pyannote[3506].end 25409.81534375
transcript.pyannote[3507].speaker SPEAKER_23
transcript.pyannote[3507].start 25410.11909375
transcript.pyannote[3507].end 25416.68346875
transcript.pyannote[3508].speaker SPEAKER_23
transcript.pyannote[3508].start 25416.86909375
transcript.pyannote[3508].end 25421.42534375
transcript.pyannote[3509].speaker SPEAKER_23
transcript.pyannote[3509].start 25421.86409375
transcript.pyannote[3509].end 25431.07784375
transcript.pyannote[3510].speaker SPEAKER_23
transcript.pyannote[3510].start 25431.26346875
transcript.pyannote[3510].end 25432.44471875
transcript.pyannote[3511].speaker SPEAKER_23
transcript.pyannote[3511].start 25432.79909375
transcript.pyannote[3511].end 25435.24596875
transcript.pyannote[3512].speaker SPEAKER_16
transcript.pyannote[3512].start 25435.90409375
transcript.pyannote[3512].end 25440.62909375
transcript.pyannote[3513].speaker SPEAKER_16
transcript.pyannote[3513].start 25441.08471875
transcript.pyannote[3513].end 25442.40096875
transcript.pyannote[3514].speaker SPEAKER_16
transcript.pyannote[3514].start 25442.89034375
transcript.pyannote[3514].end 25449.25221875
transcript.pyannote[3515].speaker SPEAKER_23
transcript.pyannote[3515].start 25447.56471875
transcript.pyannote[3515].end 25450.46721875
transcript.pyannote[3516].speaker SPEAKER_16
transcript.pyannote[3516].start 25450.46721875
transcript.pyannote[3516].end 25451.91846875
transcript.pyannote[3517].speaker SPEAKER_23
transcript.pyannote[3517].start 25450.68659375
transcript.pyannote[3517].end 25452.62721875
transcript.pyannote[3518].speaker SPEAKER_16
transcript.pyannote[3518].start 25452.15471875
transcript.pyannote[3518].end 25457.06534375
transcript.pyannote[3519].speaker SPEAKER_16
transcript.pyannote[3519].start 25457.18346875
transcript.pyannote[3519].end 25458.98909375
transcript.pyannote[3520].speaker SPEAKER_16
transcript.pyannote[3520].start 25459.10721875
transcript.pyannote[3520].end 25462.60034375
transcript.pyannote[3521].speaker SPEAKER_16
transcript.pyannote[3521].start 25462.80284375
transcript.pyannote[3521].end 25463.41034375
transcript.pyannote[3522].speaker SPEAKER_16
transcript.pyannote[3522].start 25464.05159375
transcript.pyannote[3522].end 25466.00909375
transcript.pyannote[3523].speaker SPEAKER_16
transcript.pyannote[3523].start 25466.85284375
transcript.pyannote[3523].end 25468.62471875
transcript.pyannote[3524].speaker SPEAKER_16
transcript.pyannote[3524].start 25468.82721875
transcript.pyannote[3524].end 25472.55659375
transcript.pyannote[3525].speaker SPEAKER_16
transcript.pyannote[3525].start 25472.80971875
transcript.pyannote[3525].end 25474.39596875
transcript.pyannote[3526].speaker SPEAKER_23
transcript.pyannote[3526].start 25473.87284375
transcript.pyannote[3526].end 25481.92221875
transcript.pyannote[3527].speaker SPEAKER_16
transcript.pyannote[3527].start 25474.75034375
transcript.pyannote[3527].end 25475.44221875
transcript.pyannote[3528].speaker SPEAKER_16
transcript.pyannote[3528].start 25478.85096875
transcript.pyannote[3528].end 25478.96909375
transcript.pyannote[3529].speaker SPEAKER_23
transcript.pyannote[3529].start 25482.42846875
transcript.pyannote[3529].end 25488.13221875
transcript.pyannote[3530].speaker SPEAKER_23
transcript.pyannote[3530].start 25488.72284375
transcript.pyannote[3530].end 25490.46096875
transcript.pyannote[3531].speaker SPEAKER_23
transcript.pyannote[3531].start 25490.81534375
transcript.pyannote[3531].end 25493.61659375
transcript.pyannote[3532].speaker SPEAKER_23
transcript.pyannote[3532].start 25493.83596875
transcript.pyannote[3532].end 25495.47284375
transcript.pyannote[3533].speaker SPEAKER_23
transcript.pyannote[3533].start 25495.82721875
transcript.pyannote[3533].end 25497.66659375
transcript.pyannote[3534].speaker SPEAKER_23
transcript.pyannote[3534].start 25498.18971875
transcript.pyannote[3534].end 25500.97409375
transcript.pyannote[3535].speaker SPEAKER_23
transcript.pyannote[3535].start 25501.85159375
transcript.pyannote[3535].end 25504.53471875
transcript.pyannote[3536].speaker SPEAKER_23
transcript.pyannote[3536].start 25504.85534375
transcript.pyannote[3536].end 25505.61471875
transcript.pyannote[3537].speaker SPEAKER_23
transcript.pyannote[3537].start 25506.05346875
transcript.pyannote[3537].end 25509.51284375
transcript.pyannote[3538].speaker SPEAKER_23
transcript.pyannote[3538].start 25510.03596875
transcript.pyannote[3538].end 25512.29721875
transcript.pyannote[3539].speaker SPEAKER_23
transcript.pyannote[3539].start 25512.90471875
transcript.pyannote[3539].end 25515.11534375
transcript.pyannote[3540].speaker SPEAKER_16
transcript.pyannote[3540].start 25515.58784375
transcript.pyannote[3540].end 25521.37596875
transcript.pyannote[3541].speaker SPEAKER_16
transcript.pyannote[3541].start 25521.42659375
transcript.pyannote[3541].end 25522.43909375
transcript.pyannote[3542].speaker SPEAKER_23
transcript.pyannote[3542].start 25521.49409375
transcript.pyannote[3542].end 25522.37159375
transcript.pyannote[3543].speaker SPEAKER_23
transcript.pyannote[3543].start 25522.64159375
transcript.pyannote[3543].end 25524.73409375
transcript.pyannote[3544].speaker SPEAKER_23
transcript.pyannote[3544].start 25525.10534375
transcript.pyannote[3544].end 25526.45534375
transcript.pyannote[3545].speaker SPEAKER_16
transcript.pyannote[3545].start 25527.26534375
transcript.pyannote[3545].end 25532.10846875
transcript.pyannote[3546].speaker SPEAKER_23
transcript.pyannote[3546].start 25529.45909375
transcript.pyannote[3546].end 25530.62346875
transcript.pyannote[3547].speaker SPEAKER_23
transcript.pyannote[3547].start 25531.95659375
transcript.pyannote[3547].end 25532.88471875
transcript.pyannote[3548].speaker SPEAKER_16
transcript.pyannote[3548].start 25532.88471875
transcript.pyannote[3548].end 25532.93534375
transcript.pyannote[3549].speaker SPEAKER_23
transcript.pyannote[3549].start 25532.93534375
transcript.pyannote[3549].end 25532.95221875
transcript.pyannote[3550].speaker SPEAKER_16
transcript.pyannote[3550].start 25532.95221875
transcript.pyannote[3550].end 25534.06596875
transcript.pyannote[3551].speaker SPEAKER_23
transcript.pyannote[3551].start 25533.01971875
transcript.pyannote[3551].end 25536.91784375
transcript.pyannote[3552].speaker SPEAKER_16
transcript.pyannote[3552].start 25534.92659375
transcript.pyannote[3552].end 25539.36471875
transcript.pyannote[3553].speaker SPEAKER_23
transcript.pyannote[3553].start 25537.89659375
transcript.pyannote[3553].end 25538.36909375
transcript.pyannote[3554].speaker SPEAKER_23
transcript.pyannote[3554].start 25539.06096875
transcript.pyannote[3554].end 25539.78659375
transcript.pyannote[3555].speaker SPEAKER_16
transcript.pyannote[3555].start 25539.78659375
transcript.pyannote[3555].end 25541.62596875
transcript.pyannote[3556].speaker SPEAKER_23
transcript.pyannote[3556].start 25539.80346875
transcript.pyannote[3556].end 25545.96284375
transcript.pyannote[3557].speaker SPEAKER_16
transcript.pyannote[3557].start 25543.48221875
transcript.pyannote[3557].end 25544.41034375
transcript.pyannote[3558].speaker SPEAKER_16
transcript.pyannote[3558].start 25544.49471875
transcript.pyannote[3558].end 25551.04221875
transcript.pyannote[3559].speaker SPEAKER_16
transcript.pyannote[3559].start 25551.56534375
transcript.pyannote[3559].end 25559.66534375
transcript.pyannote[3560].speaker SPEAKER_23
transcript.pyannote[3560].start 25557.94409375
transcript.pyannote[3560].end 25585.77096875
transcript.pyannote[3561].speaker SPEAKER_23
transcript.pyannote[3561].start 25586.39534375
transcript.pyannote[3561].end 25591.74471875
transcript.pyannote[3562].speaker SPEAKER_23
transcript.pyannote[3562].start 25591.81221875
transcript.pyannote[3562].end 25595.06909375
transcript.pyannote[3563].speaker SPEAKER_23
transcript.pyannote[3563].start 25595.20409375
transcript.pyannote[3563].end 25609.91909375
transcript.pyannote[3564].speaker SPEAKER_35
transcript.pyannote[3564].start 25603.27034375
transcript.pyannote[3564].end 25603.87784375
transcript.pyannote[3565].speaker SPEAKER_16
transcript.pyannote[3565].start 25610.37471875
transcript.pyannote[3565].end 25616.04471875
transcript.pyannote[3566].speaker SPEAKER_23
transcript.pyannote[3566].start 25610.96534375
transcript.pyannote[3566].end 25611.57284375
transcript.pyannote[3567].speaker SPEAKER_23
transcript.pyannote[3567].start 25616.04471875
transcript.pyannote[3567].end 25627.03034375
transcript.pyannote[3568].speaker SPEAKER_23
transcript.pyannote[3568].start 25627.70534375
transcript.pyannote[3568].end 25628.78534375
transcript.pyannote[3569].speaker SPEAKER_16
transcript.pyannote[3569].start 25629.27471875
transcript.pyannote[3569].end 25637.22284375
transcript.pyannote[3570].speaker SPEAKER_23
transcript.pyannote[3570].start 25632.39659375
transcript.pyannote[3570].end 25633.34159375
transcript.pyannote[3571].speaker SPEAKER_23
transcript.pyannote[3571].start 25637.45909375
transcript.pyannote[3571].end 25648.25909375
transcript.pyannote[3572].speaker SPEAKER_23
transcript.pyannote[3572].start 25649.13659375
transcript.pyannote[3572].end 25649.94659375
transcript.pyannote[3573].speaker SPEAKER_23
transcript.pyannote[3573].start 25650.25034375
transcript.pyannote[3573].end 25650.52034375
transcript.pyannote[3574].speaker SPEAKER_23
transcript.pyannote[3574].start 25650.73971875
transcript.pyannote[3574].end 25651.14471875
transcript.pyannote[3575].speaker SPEAKER_23
transcript.pyannote[3575].start 25651.65096875
transcript.pyannote[3575].end 25655.71784375
transcript.pyannote[3576].speaker SPEAKER_23
transcript.pyannote[3576].start 25655.97096875
transcript.pyannote[3576].end 25703.69346875
transcript.pyannote[3577].speaker SPEAKER_16
transcript.pyannote[3577].start 25704.53721875
transcript.pyannote[3577].end 25704.84096875
transcript.pyannote[3578].speaker SPEAKER_16
transcript.pyannote[3578].start 25705.11096875
transcript.pyannote[3578].end 25706.56221875
transcript.pyannote[3579].speaker SPEAKER_16
transcript.pyannote[3579].start 25707.25409375
transcript.pyannote[3579].end 25714.10534375
transcript.pyannote[3580].speaker SPEAKER_23
transcript.pyannote[3580].start 25712.83971875
transcript.pyannote[3580].end 25745.30721875
transcript.pyannote[3581].speaker SPEAKER_16
transcript.pyannote[3581].start 25720.33221875
transcript.pyannote[3581].end 25723.04909375
transcript.pyannote[3582].speaker SPEAKER_23
transcript.pyannote[3582].start 25745.74596875
transcript.pyannote[3582].end 25748.59784375
transcript.pyannote[3583].speaker SPEAKER_16
transcript.pyannote[3583].start 25748.96909375
transcript.pyannote[3583].end 25752.98534375
transcript.pyannote[3584].speaker SPEAKER_23
transcript.pyannote[3584].start 25749.05346875
transcript.pyannote[3584].end 25749.67784375
transcript.pyannote[3585].speaker SPEAKER_23
transcript.pyannote[3585].start 25752.90096875
transcript.pyannote[3585].end 25763.65034375
transcript.pyannote[3586].speaker SPEAKER_23
transcript.pyannote[3586].start 25763.86971875
transcript.pyannote[3586].end 25773.15096875
transcript.pyannote[3587].speaker SPEAKER_23
transcript.pyannote[3587].start 25773.42096875
transcript.pyannote[3587].end 25773.52221875
transcript.pyannote[3588].speaker SPEAKER_16
transcript.pyannote[3588].start 25774.28159375
transcript.pyannote[3588].end 25783.36034375
transcript.pyannote[3589].speaker SPEAKER_16
transcript.pyannote[3589].start 25783.49534375
transcript.pyannote[3589].end 25788.60846875
transcript.pyannote[3590].speaker SPEAKER_16
transcript.pyannote[3590].start 25788.74346875
transcript.pyannote[3590].end 25790.34659375
transcript.pyannote[3591].speaker SPEAKER_16
transcript.pyannote[3591].start 25790.38034375
transcript.pyannote[3591].end 25791.79784375
transcript.pyannote[3592].speaker SPEAKER_16
transcript.pyannote[3592].start 25792.33784375
transcript.pyannote[3592].end 25794.24471875
transcript.pyannote[3593].speaker SPEAKER_16
transcript.pyannote[3593].start 25794.44721875
transcript.pyannote[3593].end 25795.40909375
transcript.pyannote[3594].speaker SPEAKER_16
transcript.pyannote[3594].start 25795.61159375
transcript.pyannote[3594].end 25799.32409375
transcript.pyannote[3595].speaker SPEAKER_23
transcript.pyannote[3595].start 25799.27346875
transcript.pyannote[3595].end 25802.98596875
transcript.pyannote[3596].speaker SPEAKER_23
transcript.pyannote[3596].start 25803.47534375
transcript.pyannote[3596].end 25805.43284375
transcript.pyannote[3597].speaker SPEAKER_23
transcript.pyannote[3597].start 25805.80409375
transcript.pyannote[3597].end 25811.67659375
transcript.pyannote[3598].speaker SPEAKER_23
transcript.pyannote[3598].start 25811.96346875
transcript.pyannote[3598].end 25819.48971875
transcript.pyannote[3599].speaker SPEAKER_23
transcript.pyannote[3599].start 25819.70909375
transcript.pyannote[3599].end 25847.73846875
transcript.pyannote[3600].speaker SPEAKER_25
transcript.pyannote[3600].start 25827.06659375
transcript.pyannote[3600].end 25827.08346875
transcript.pyannote[3601].speaker SPEAKER_25
transcript.pyannote[3601].start 25830.27284375
transcript.pyannote[3601].end 25830.61034375
transcript.pyannote[3602].speaker SPEAKER_25
transcript.pyannote[3602].start 25830.71159375
transcript.pyannote[3602].end 25830.76221875
transcript.pyannote[3603].speaker SPEAKER_23
transcript.pyannote[3603].start 25848.10971875
transcript.pyannote[3603].end 25873.00034375
transcript.pyannote[3604].speaker SPEAKER_23
transcript.pyannote[3604].start 25873.20284375
transcript.pyannote[3604].end 25882.19721875
transcript.pyannote[3605].speaker SPEAKER_16
transcript.pyannote[3605].start 25882.68659375
transcript.pyannote[3605].end 25892.01846875
transcript.pyannote[3606].speaker SPEAKER_23
transcript.pyannote[3606].start 25891.12409375
transcript.pyannote[3606].end 25896.40596875
transcript.pyannote[3607].speaker SPEAKER_16
transcript.pyannote[3607].start 25895.71409375
transcript.pyannote[3607].end 25905.23159375
transcript.pyannote[3608].speaker SPEAKER_23
transcript.pyannote[3608].start 25905.38346875
transcript.pyannote[3608].end 25907.35784375
transcript.pyannote[3609].speaker SPEAKER_23
transcript.pyannote[3609].start 25907.81346875
transcript.pyannote[3609].end 25911.05346875
transcript.pyannote[3610].speaker SPEAKER_23
transcript.pyannote[3610].start 25911.34034375
transcript.pyannote[3610].end 25916.53784375
transcript.pyannote[3611].speaker SPEAKER_23
transcript.pyannote[3611].start 25916.85846875
transcript.pyannote[3611].end 25917.24659375
transcript.pyannote[3612].speaker SPEAKER_16
transcript.pyannote[3612].start 25917.43221875
transcript.pyannote[3612].end 25927.69221875
transcript.pyannote[3613].speaker SPEAKER_23
transcript.pyannote[3613].start 25921.87034375
transcript.pyannote[3613].end 25922.25846875
transcript.pyannote[3614].speaker SPEAKER_24
transcript.pyannote[3614].start 25922.25846875
transcript.pyannote[3614].end 25922.29221875
transcript.pyannote[3615].speaker SPEAKER_23
transcript.pyannote[3615].start 25923.33846875
transcript.pyannote[3615].end 25923.96284375
transcript.pyannote[3616].speaker SPEAKER_24
transcript.pyannote[3616].start 25923.96284375
transcript.pyannote[3616].end 25924.62096875
transcript.pyannote[3617].speaker SPEAKER_24
transcript.pyannote[3617].start 25927.94534375
transcript.pyannote[3617].end 25936.66971875
transcript.pyannote[3618].speaker SPEAKER_24
transcript.pyannote[3618].start 25937.04096875
transcript.pyannote[3618].end 25940.02784375
transcript.pyannote[3619].speaker SPEAKER_23
transcript.pyannote[3619].start 25940.02784375
transcript.pyannote[3619].end 25940.04471875
transcript.pyannote[3620].speaker SPEAKER_24
transcript.pyannote[3620].start 25940.04471875
transcript.pyannote[3620].end 25940.09534375
transcript.pyannote[3621].speaker SPEAKER_23
transcript.pyannote[3621].start 25940.21346875
transcript.pyannote[3621].end 25942.57596875
transcript.pyannote[3622].speaker SPEAKER_23
transcript.pyannote[3622].start 25943.47034375
transcript.pyannote[3622].end 25949.41034375
transcript.pyannote[3623].speaker SPEAKER_24
transcript.pyannote[3623].start 25949.46096875
transcript.pyannote[3623].end 25957.40909375
transcript.pyannote[3624].speaker SPEAKER_23
transcript.pyannote[3624].start 25949.68034375
transcript.pyannote[3624].end 25951.90784375
transcript.pyannote[3625].speaker SPEAKER_23
transcript.pyannote[3625].start 25956.58221875
transcript.pyannote[3625].end 25957.81409375
transcript.pyannote[3626].speaker SPEAKER_24
transcript.pyannote[3626].start 25957.81409375
transcript.pyannote[3626].end 25965.76221875
transcript.pyannote[3627].speaker SPEAKER_23
transcript.pyannote[3627].start 25964.27721875
transcript.pyannote[3627].end 25965.47534375
transcript.pyannote[3628].speaker SPEAKER_24
transcript.pyannote[3628].start 25965.93096875
transcript.pyannote[3628].end 25979.61659375
transcript.pyannote[3629].speaker SPEAKER_23
transcript.pyannote[3629].start 25975.04346875
transcript.pyannote[3629].end 25975.90409375
transcript.pyannote[3630].speaker SPEAKER_23
transcript.pyannote[3630].start 25978.77284375
transcript.pyannote[3630].end 25980.15659375
transcript.pyannote[3631].speaker SPEAKER_24
transcript.pyannote[3631].start 25980.10596875
transcript.pyannote[3631].end 25991.32784375
transcript.pyannote[3632].speaker SPEAKER_24
transcript.pyannote[3632].start 25991.61471875
transcript.pyannote[3632].end 26012.47221875
transcript.pyannote[3633].speaker SPEAKER_00
transcript.pyannote[3633].start 25992.64409375
transcript.pyannote[3633].end 25993.16721875
transcript.pyannote[3634].speaker SPEAKER_00
transcript.pyannote[3634].start 25993.35284375
transcript.pyannote[3634].end 25994.02784375
transcript.pyannote[3635].speaker SPEAKER_08
transcript.pyannote[3635].start 25994.02784375
transcript.pyannote[3635].end 25994.46659375
transcript.pyannote[3636].speaker SPEAKER_00
transcript.pyannote[3636].start 25994.46659375
transcript.pyannote[3636].end 25994.53409375
transcript.pyannote[3637].speaker SPEAKER_00
transcript.pyannote[3637].start 26002.70159375
transcript.pyannote[3637].end 26002.83659375
transcript.pyannote[3638].speaker SPEAKER_08
transcript.pyannote[3638].start 26002.83659375
transcript.pyannote[3638].end 26002.88721875
transcript.pyannote[3639].speaker SPEAKER_00
transcript.pyannote[3639].start 26002.88721875
transcript.pyannote[3639].end 26003.03909375
transcript.pyannote[3640].speaker SPEAKER_23
transcript.pyannote[3640].start 26003.03909375
transcript.pyannote[3640].end 26005.09784375
transcript.pyannote[3641].speaker SPEAKER_23
transcript.pyannote[3641].start 26005.46909375
transcript.pyannote[3641].end 26006.39721875
transcript.pyannote[3642].speaker SPEAKER_23
transcript.pyannote[3642].start 26010.64971875
transcript.pyannote[3642].end 26011.35846875
transcript.pyannote[3643].speaker SPEAKER_23
transcript.pyannote[3643].start 26012.69159375
transcript.pyannote[3643].end 26016.25221875
transcript.pyannote[3644].speaker SPEAKER_23
transcript.pyannote[3644].start 26016.53909375
transcript.pyannote[3644].end 26023.49159375
transcript.pyannote[3645].speaker SPEAKER_23
transcript.pyannote[3645].start 26024.03159375
transcript.pyannote[3645].end 26024.99346875
transcript.pyannote[3646].speaker SPEAKER_23
transcript.pyannote[3646].start 26025.24659375
transcript.pyannote[3646].end 26026.22534375
transcript.pyannote[3647].speaker SPEAKER_23
transcript.pyannote[3647].start 26026.29284375
transcript.pyannote[3647].end 26029.61721875
transcript.pyannote[3648].speaker SPEAKER_23
transcript.pyannote[3648].start 26030.39346875
transcript.pyannote[3648].end 26040.58596875
transcript.pyannote[3649].speaker SPEAKER_23
transcript.pyannote[3649].start 26040.97409375
transcript.pyannote[3649].end 26043.97784375
transcript.pyannote[3650].speaker SPEAKER_23
transcript.pyannote[3650].start 26044.29846875
transcript.pyannote[3650].end 26045.98596875
transcript.pyannote[3651].speaker SPEAKER_16
transcript.pyannote[3651].start 26046.49221875
transcript.pyannote[3651].end 26047.33596875
transcript.pyannote[3652].speaker SPEAKER_23
transcript.pyannote[3652].start 26047.48784375
transcript.pyannote[3652].end 26049.95159375
transcript.pyannote[3653].speaker SPEAKER_23
transcript.pyannote[3653].start 26050.32284375
transcript.pyannote[3653].end 26051.89221875
transcript.pyannote[3654].speaker SPEAKER_23
transcript.pyannote[3654].start 26052.11159375
transcript.pyannote[3654].end 26064.21096875
transcript.pyannote[3655].speaker SPEAKER_23
transcript.pyannote[3655].start 26064.54846875
transcript.pyannote[3655].end 26072.86784375
transcript.pyannote[3656].speaker SPEAKER_16
transcript.pyannote[3656].start 26072.98596875
transcript.pyannote[3656].end 26084.57909375
transcript.pyannote[3657].speaker SPEAKER_23
transcript.pyannote[3657].start 26076.54659375
transcript.pyannote[3657].end 26079.53346875
transcript.pyannote[3658].speaker SPEAKER_23
transcript.pyannote[3658].start 26080.12409375
transcript.pyannote[3658].end 26080.41096875
transcript.pyannote[3659].speaker SPEAKER_23
transcript.pyannote[3659].start 26082.53721875
transcript.pyannote[3659].end 26082.60471875
transcript.pyannote[3660].speaker SPEAKER_23
transcript.pyannote[3660].start 26084.86596875
transcript.pyannote[3660].end 26085.37221875
transcript.pyannote[3661].speaker SPEAKER_23
transcript.pyannote[3661].start 26085.45659375
transcript.pyannote[3661].end 26086.92471875
transcript.pyannote[3662].speaker SPEAKER_23
transcript.pyannote[3662].start 26087.41409375
transcript.pyannote[3662].end 26089.79346875
transcript.pyannote[3663].speaker SPEAKER_23
transcript.pyannote[3663].start 26090.24909375
transcript.pyannote[3663].end 26091.14346875
transcript.pyannote[3664].speaker SPEAKER_23
transcript.pyannote[3664].start 26091.53159375
transcript.pyannote[3664].end 26094.18096875
transcript.pyannote[3665].speaker SPEAKER_23
transcript.pyannote[3665].start 26096.17221875
transcript.pyannote[3665].end 26100.10409375
transcript.pyannote[3666].speaker SPEAKER_16
transcript.pyannote[3666].start 26101.03221875
transcript.pyannote[3666].end 26102.12909375
transcript.pyannote[3667].speaker SPEAKER_16
transcript.pyannote[3667].start 26102.53409375
transcript.pyannote[3667].end 26103.41159375
transcript.pyannote[3668].speaker SPEAKER_16
transcript.pyannote[3668].start 26103.73221875
transcript.pyannote[3668].end 26119.52721875
transcript.pyannote[3669].speaker SPEAKER_23
transcript.pyannote[3669].start 26119.52721875
transcript.pyannote[3669].end 26154.18846875
transcript.pyannote[3670].speaker SPEAKER_23
transcript.pyannote[3670].start 26155.01534375
transcript.pyannote[3670].end 26155.63971875
transcript.pyannote[3671].speaker SPEAKER_16
transcript.pyannote[3671].start 26155.13346875
transcript.pyannote[3671].end 26161.96784375
transcript.pyannote[3672].speaker SPEAKER_23
transcript.pyannote[3672].start 26156.73659375
transcript.pyannote[3672].end 26157.29346875
transcript.pyannote[3673].speaker SPEAKER_23
transcript.pyannote[3673].start 26159.06534375
transcript.pyannote[3673].end 26159.92596875
transcript.pyannote[3674].speaker SPEAKER_16
transcript.pyannote[3674].start 26162.38971875
transcript.pyannote[3674].end 26170.35471875
transcript.pyannote[3675].speaker SPEAKER_00
transcript.pyannote[3675].start 26162.45721875
transcript.pyannote[3675].end 26162.52471875
transcript.pyannote[3676].speaker SPEAKER_23
transcript.pyannote[3676].start 26162.52471875
transcript.pyannote[3676].end 26162.96346875
transcript.pyannote[3677].speaker SPEAKER_00
transcript.pyannote[3677].start 26162.96346875
transcript.pyannote[3677].end 26163.03096875
transcript.pyannote[3678].speaker SPEAKER_23
transcript.pyannote[3678].start 26163.03096875
transcript.pyannote[3678].end 26163.33471875
transcript.pyannote[3679].speaker SPEAKER_23
transcript.pyannote[3679].start 26171.18159375
transcript.pyannote[3679].end 26171.77221875
transcript.pyannote[3680].speaker SPEAKER_23
transcript.pyannote[3680].start 26171.80596875
transcript.pyannote[3680].end 26174.40471875
transcript.pyannote[3681].speaker SPEAKER_23
transcript.pyannote[3681].start 26174.79284375
transcript.pyannote[3681].end 26178.85971875
transcript.pyannote[3682].speaker SPEAKER_23
transcript.pyannote[3682].start 26179.16346875
transcript.pyannote[3682].end 26195.34659375
transcript.pyannote[3683].speaker SPEAKER_23
transcript.pyannote[3683].start 26196.15659375
transcript.pyannote[3683].end 26216.49096875
transcript.pyannote[3684].speaker SPEAKER_23
transcript.pyannote[3684].start 26217.21659375
transcript.pyannote[3684].end 26218.34721875
transcript.pyannote[3685].speaker SPEAKER_23
transcript.pyannote[3685].start 26218.65096875
transcript.pyannote[3685].end 26221.84034375
transcript.pyannote[3686].speaker SPEAKER_16
transcript.pyannote[3686].start 26223.17346875
transcript.pyannote[3686].end 26225.68784375
transcript.pyannote[3687].speaker SPEAKER_23
transcript.pyannote[3687].start 26223.22409375
transcript.pyannote[3687].end 26223.47721875
transcript.pyannote[3688].speaker SPEAKER_16
transcript.pyannote[3688].start 26225.94096875
transcript.pyannote[3688].end 26227.15596875
transcript.pyannote[3689].speaker SPEAKER_16
transcript.pyannote[3689].start 26227.79721875
transcript.pyannote[3689].end 26229.65346875
transcript.pyannote[3690].speaker SPEAKER_16
transcript.pyannote[3690].start 26229.94034375
transcript.pyannote[3690].end 26231.12159375
transcript.pyannote[3691].speaker SPEAKER_16
transcript.pyannote[3691].start 26231.50971875
transcript.pyannote[3691].end 26234.02409375
transcript.pyannote[3692].speaker SPEAKER_16
transcript.pyannote[3692].start 26234.12534375
transcript.pyannote[3692].end 26235.47534375
transcript.pyannote[3693].speaker SPEAKER_16
transcript.pyannote[3693].start 26235.77909375
transcript.pyannote[3693].end 26237.38221875
transcript.pyannote[3694].speaker SPEAKER_16
transcript.pyannote[3694].start 26237.55096875
transcript.pyannote[3694].end 26247.42284375
transcript.pyannote[3695].speaker SPEAKER_23
transcript.pyannote[3695].start 26246.47784375
transcript.pyannote[3695].end 26249.54909375
transcript.pyannote[3696].speaker SPEAKER_16
transcript.pyannote[3696].start 26249.54909375
transcript.pyannote[3696].end 26250.76409375
transcript.pyannote[3697].speaker SPEAKER_23
transcript.pyannote[3697].start 26249.66721875
transcript.pyannote[3697].end 26252.02971875
transcript.pyannote[3698].speaker SPEAKER_23
transcript.pyannote[3698].start 26252.33346875
transcript.pyannote[3698].end 26263.35284375
transcript.pyannote[3699].speaker SPEAKER_16
transcript.pyannote[3699].start 26262.96471875
transcript.pyannote[3699].end 26264.78721875
transcript.pyannote[3700].speaker SPEAKER_23
transcript.pyannote[3700].start 26264.60159375
transcript.pyannote[3700].end 26264.92221875
transcript.pyannote[3701].speaker SPEAKER_23
transcript.pyannote[3701].start 26265.14159375
transcript.pyannote[3701].end 26281.02096875
transcript.pyannote[3702].speaker SPEAKER_23
transcript.pyannote[3702].start 26281.61159375
transcript.pyannote[3702].end 26315.24346875
transcript.pyannote[3703].speaker SPEAKER_23
transcript.pyannote[3703].start 26315.47971875
transcript.pyannote[3703].end 26340.42096875
transcript.pyannote[3704].speaker SPEAKER_16
transcript.pyannote[3704].start 26341.26471875
transcript.pyannote[3704].end 26349.95534375
transcript.pyannote[3705].speaker SPEAKER_16
transcript.pyannote[3705].start 26350.57971875
transcript.pyannote[3705].end 26352.63846875
transcript.pyannote[3706].speaker SPEAKER_16
transcript.pyannote[3706].start 26353.24596875
transcript.pyannote[3706].end 26358.12284375
transcript.pyannote[3707].speaker SPEAKER_23
transcript.pyannote[3707].start 26354.03909375
transcript.pyannote[3707].end 26354.64659375
transcript.pyannote[3708].speaker SPEAKER_23
transcript.pyannote[3708].start 26355.10221875
transcript.pyannote[3708].end 26357.85284375
transcript.pyannote[3709].speaker SPEAKER_23
transcript.pyannote[3709].start 26358.35909375
transcript.pyannote[3709].end 26373.64784375
transcript.pyannote[3710].speaker SPEAKER_16
transcript.pyannote[3710].start 26366.79659375
transcript.pyannote[3710].end 26367.58971875
transcript.pyannote[3711].speaker SPEAKER_16
transcript.pyannote[3711].start 26367.96096875
transcript.pyannote[3711].end 26370.00284375
transcript.pyannote[3712].speaker SPEAKER_16
transcript.pyannote[3712].start 26374.23846875
transcript.pyannote[3712].end 26377.19159375
transcript.pyannote[3713].speaker SPEAKER_23
transcript.pyannote[3713].start 26375.94284375
transcript.pyannote[3713].end 26376.29721875
transcript.pyannote[3714].speaker SPEAKER_16
transcript.pyannote[3714].start 26377.24221875
transcript.pyannote[3714].end 26381.08971875
transcript.pyannote[3715].speaker SPEAKER_24
transcript.pyannote[3715].start 26381.08971875
transcript.pyannote[3715].end 26396.88471875
transcript.pyannote[3716].speaker SPEAKER_16
transcript.pyannote[3716].start 26381.83221875
transcript.pyannote[3716].end 26382.23721875
transcript.pyannote[3717].speaker SPEAKER_16
transcript.pyannote[3717].start 26384.34659375
transcript.pyannote[3717].end 26386.03409375
transcript.pyannote[3718].speaker SPEAKER_23
transcript.pyannote[3718].start 26386.03409375
transcript.pyannote[3718].end 26386.30409375
transcript.pyannote[3719].speaker SPEAKER_16
transcript.pyannote[3719].start 26386.30409375
transcript.pyannote[3719].end 26386.89471875
transcript.pyannote[3720].speaker SPEAKER_23
transcript.pyannote[3720].start 26386.89471875
transcript.pyannote[3720].end 26387.33346875
transcript.pyannote[3721].speaker SPEAKER_23
transcript.pyannote[3721].start 26387.87346875
transcript.pyannote[3721].end 26392.69971875
transcript.pyannote[3722].speaker SPEAKER_23
transcript.pyannote[3722].start 26394.04971875
transcript.pyannote[3722].end 26396.91846875
transcript.pyannote[3723].speaker SPEAKER_07
transcript.pyannote[3723].start 26409.67596875
transcript.pyannote[3723].end 26412.35909375
transcript.pyannote[3724].speaker SPEAKER_07
transcript.pyannote[3724].start 26412.79784375
transcript.pyannote[3724].end 26415.31221875
transcript.pyannote[3725].speaker SPEAKER_07
transcript.pyannote[3725].start 26422.60221875
transcript.pyannote[3725].end 26422.97346875
transcript.pyannote[3726].speaker SPEAKER_07
transcript.pyannote[3726].start 26424.13784375
transcript.pyannote[3726].end 26427.37784375
transcript.pyannote[3727].speaker SPEAKER_07
transcript.pyannote[3727].start 26428.03596875
transcript.pyannote[3727].end 26429.13284375
transcript.pyannote[3728].speaker SPEAKER_07
transcript.pyannote[3728].start 26432.17034375
transcript.pyannote[3728].end 26432.94659375
transcript.pyannote[3729].speaker SPEAKER_07
transcript.pyannote[3729].start 26434.27971875
transcript.pyannote[3729].end 26437.92471875
transcript.pyannote[3730].speaker SPEAKER_07
transcript.pyannote[3730].start 26438.39721875
transcript.pyannote[3730].end 26440.99596875
transcript.pyannote[3731].speaker SPEAKER_20
transcript.pyannote[3731].start 26463.28784375
transcript.pyannote[3731].end 26465.32971875
transcript.pyannote[3732].speaker SPEAKER_07
transcript.pyannote[3732].start 26467.03409375
transcript.pyannote[3732].end 26468.43471875
transcript.pyannote[3733].speaker SPEAKER_20
transcript.pyannote[3733].start 26474.25659375
transcript.pyannote[3733].end 26474.88096875
transcript.pyannote[3734].speaker SPEAKER_25
transcript.pyannote[3734].start 26474.88096875
transcript.pyannote[3734].end 26475.65721875
transcript.pyannote[3735].speaker SPEAKER_20
transcript.pyannote[3735].start 26475.03284375
transcript.pyannote[3735].end 26478.37409375
transcript.pyannote[3736].speaker SPEAKER_20
transcript.pyannote[3736].start 26478.79596875
transcript.pyannote[3736].end 26481.22596875
transcript.pyannote[3737].speaker SPEAKER_20
transcript.pyannote[3737].start 26481.51284375
transcript.pyannote[3737].end 26485.78221875
transcript.pyannote[3738].speaker SPEAKER_20
transcript.pyannote[3738].start 26485.88346875
transcript.pyannote[3738].end 26486.49096875
transcript.pyannote[3739].speaker SPEAKER_20
transcript.pyannote[3739].start 26486.87909375
transcript.pyannote[3739].end 26489.73096875
transcript.pyannote[3740].speaker SPEAKER_20
transcript.pyannote[3740].start 26490.28784375
transcript.pyannote[3740].end 26492.48159375
transcript.pyannote[3741].speaker SPEAKER_20
transcript.pyannote[3741].start 26492.95409375
transcript.pyannote[3741].end 26498.99534375
transcript.pyannote[3742].speaker SPEAKER_20
transcript.pyannote[3742].start 26499.51846875
transcript.pyannote[3742].end 26500.42971875
transcript.pyannote[3743].speaker SPEAKER_20
transcript.pyannote[3743].start 26500.81784375
transcript.pyannote[3743].end 26506.75784375
transcript.pyannote[3744].speaker SPEAKER_20
transcript.pyannote[3744].start 26506.89284375
transcript.pyannote[3744].end 26513.87909375
transcript.pyannote[3745].speaker SPEAKER_20
transcript.pyannote[3745].start 26514.08159375
transcript.pyannote[3745].end 26518.53659375
transcript.pyannote[3746].speaker SPEAKER_20
transcript.pyannote[3746].start 26518.80659375
transcript.pyannote[3746].end 26523.95346875
transcript.pyannote[3747].speaker SPEAKER_20
transcript.pyannote[3747].start 26524.18971875
transcript.pyannote[3747].end 26528.23971875
transcript.pyannote[3748].speaker SPEAKER_20
transcript.pyannote[3748].start 26528.66159375
transcript.pyannote[3748].end 26533.15034375
transcript.pyannote[3749].speaker SPEAKER_20
transcript.pyannote[3749].start 26533.55534375
transcript.pyannote[3749].end 26536.30596875
transcript.pyannote[3750].speaker SPEAKER_20
transcript.pyannote[3750].start 26536.59284375
transcript.pyannote[3750].end 26537.99346875
transcript.pyannote[3751].speaker SPEAKER_20
transcript.pyannote[3751].start 26538.19596875
transcript.pyannote[3751].end 26543.08971875
transcript.pyannote[3752].speaker SPEAKER_20
transcript.pyannote[3752].start 26543.56221875
transcript.pyannote[3752].end 26549.60346875
transcript.pyannote[3753].speaker SPEAKER_20
transcript.pyannote[3753].start 26549.90721875
transcript.pyannote[3753].end 26550.63284375
transcript.pyannote[3754].speaker SPEAKER_20
transcript.pyannote[3754].start 26551.96596875
transcript.pyannote[3754].end 26552.77596875
transcript.pyannote[3755].speaker SPEAKER_20
transcript.pyannote[3755].start 26553.33284375
transcript.pyannote[3755].end 26571.38909375
transcript.pyannote[3756].speaker SPEAKER_20
transcript.pyannote[3756].start 26571.77721875
transcript.pyannote[3756].end 26599.72221875
transcript.pyannote[3757].speaker SPEAKER_20
transcript.pyannote[3757].start 26600.02596875
transcript.pyannote[3757].end 26606.55659375
transcript.pyannote[3758].speaker SPEAKER_16
transcript.pyannote[3758].start 26602.00034375
transcript.pyannote[3758].end 26602.43909375
transcript.pyannote[3759].speaker SPEAKER_16
transcript.pyannote[3759].start 26607.16409375
transcript.pyannote[3759].end 26611.41659375
transcript.pyannote[3760].speaker SPEAKER_20
transcript.pyannote[3760].start 26608.37909375
transcript.pyannote[3760].end 26608.81784375
transcript.pyannote[3761].speaker SPEAKER_16
transcript.pyannote[3761].start 26611.83846875
transcript.pyannote[3761].end 26613.82971875
transcript.pyannote[3762].speaker SPEAKER_33
transcript.pyannote[3762].start 26613.55971875
transcript.pyannote[3762].end 26613.84659375
transcript.pyannote[3763].speaker SPEAKER_16
transcript.pyannote[3763].start 26613.84659375
transcript.pyannote[3763].end 26613.89721875
transcript.pyannote[3764].speaker SPEAKER_33
transcript.pyannote[3764].start 26614.82534375
transcript.pyannote[3764].end 26640.23909375
transcript.pyannote[3765].speaker SPEAKER_20
transcript.pyannote[3765].start 26626.78971875
transcript.pyannote[3765].end 26632.08846875
transcript.pyannote[3766].speaker SPEAKER_20
transcript.pyannote[3766].start 26640.23909375
transcript.pyannote[3766].end 26640.61034375
transcript.pyannote[3767].speaker SPEAKER_33
transcript.pyannote[3767].start 26640.61034375
transcript.pyannote[3767].end 26640.96471875
transcript.pyannote[3768].speaker SPEAKER_20
transcript.pyannote[3768].start 26640.96471875
transcript.pyannote[3768].end 26663.03721875
transcript.pyannote[3769].speaker SPEAKER_33
transcript.pyannote[3769].start 26646.80346875
transcript.pyannote[3769].end 26648.35596875
transcript.pyannote[3770].speaker SPEAKER_33
transcript.pyannote[3770].start 26648.62596875
transcript.pyannote[3770].end 26649.63846875
transcript.pyannote[3771].speaker SPEAKER_00
transcript.pyannote[3771].start 26656.21971875
transcript.pyannote[3771].end 26656.27034375
transcript.pyannote[3772].speaker SPEAKER_33
transcript.pyannote[3772].start 26656.27034375
transcript.pyannote[3772].end 26659.12221875
transcript.pyannote[3773].speaker SPEAKER_33
transcript.pyannote[3773].start 26663.03721875
transcript.pyannote[3773].end 26663.30721875
transcript.pyannote[3774].speaker SPEAKER_20
transcript.pyannote[3774].start 26663.30721875
transcript.pyannote[3774].end 26663.44221875
transcript.pyannote[3775].speaker SPEAKER_20
transcript.pyannote[3775].start 26663.61096875
transcript.pyannote[3775].end 26681.78534375
transcript.pyannote[3776].speaker SPEAKER_33
transcript.pyannote[3776].start 26663.71221875
transcript.pyannote[3776].end 26666.64846875
transcript.pyannote[3777].speaker SPEAKER_12
transcript.pyannote[3777].start 26669.60159375
transcript.pyannote[3777].end 26669.61846875
transcript.pyannote[3778].speaker SPEAKER_33
transcript.pyannote[3778].start 26669.61846875
transcript.pyannote[3778].end 26671.96409375
transcript.pyannote[3779].speaker SPEAKER_12
transcript.pyannote[3779].start 26671.96409375
transcript.pyannote[3779].end 26672.28471875
transcript.pyannote[3780].speaker SPEAKER_12
transcript.pyannote[3780].start 26672.60534375
transcript.pyannote[3780].end 26672.87534375
transcript.pyannote[3781].speaker SPEAKER_12
transcript.pyannote[3781].start 26673.85409375
transcript.pyannote[3781].end 26674.96784375
transcript.pyannote[3782].speaker SPEAKER_00
transcript.pyannote[3782].start 26674.96784375
transcript.pyannote[3782].end 26675.72721875
transcript.pyannote[3783].speaker SPEAKER_16
transcript.pyannote[3783].start 26679.89534375
transcript.pyannote[3783].end 26680.18221875
transcript.pyannote[3784].speaker SPEAKER_16
transcript.pyannote[3784].start 26681.26221875
transcript.pyannote[3784].end 26682.57846875
transcript.pyannote[3785].speaker SPEAKER_16
transcript.pyannote[3785].start 26683.01721875
transcript.pyannote[3785].end 26689.05846875
transcript.pyannote[3786].speaker SPEAKER_16
transcript.pyannote[3786].start 26689.39596875
transcript.pyannote[3786].end 26695.85909375
transcript.pyannote[3787].speaker SPEAKER_20
transcript.pyannote[3787].start 26691.11721875
transcript.pyannote[3787].end 26701.12409375
transcript.pyannote[3788].speaker SPEAKER_16
transcript.pyannote[3788].start 26701.12409375
transcript.pyannote[3788].end 26701.47846875
transcript.pyannote[3789].speaker SPEAKER_20
transcript.pyannote[3789].start 26701.47846875
transcript.pyannote[3789].end 26714.99534375
transcript.pyannote[3790].speaker SPEAKER_16
transcript.pyannote[3790].start 26708.63346875
transcript.pyannote[3790].end 26708.65034375
transcript.pyannote[3791].speaker SPEAKER_33
transcript.pyannote[3791].start 26708.65034375
transcript.pyannote[3791].end 26710.13534375
transcript.pyannote[3792].speaker SPEAKER_33
transcript.pyannote[3792].start 26710.55721875
transcript.pyannote[3792].end 26712.04221875
transcript.pyannote[3793].speaker SPEAKER_33
transcript.pyannote[3793].start 26712.73409375
transcript.pyannote[3793].end 26716.36221875
transcript.pyannote[3794].speaker SPEAKER_20
transcript.pyannote[3794].start 26715.95721875
transcript.pyannote[3794].end 26720.04096875
transcript.pyannote[3795].speaker SPEAKER_33
transcript.pyannote[3795].start 26718.55596875
transcript.pyannote[3795].end 26722.53846875
transcript.pyannote[3796].speaker SPEAKER_20
transcript.pyannote[3796].start 26721.62721875
transcript.pyannote[3796].end 26742.53534375
transcript.pyannote[3797].speaker SPEAKER_33
transcript.pyannote[3797].start 26727.44909375
transcript.pyannote[3797].end 26728.30971875
transcript.pyannote[3798].speaker SPEAKER_33
transcript.pyannote[3798].start 26728.71471875
transcript.pyannote[3798].end 26731.00971875
transcript.pyannote[3799].speaker SPEAKER_33
transcript.pyannote[3799].start 26731.49909375
transcript.pyannote[3799].end 26733.30471875
transcript.pyannote[3800].speaker SPEAKER_33
transcript.pyannote[3800].start 26733.50721875
transcript.pyannote[3800].end 26746.11284375
transcript.pyannote[3801].speaker SPEAKER_20
transcript.pyannote[3801].start 26743.15971875
transcript.pyannote[3801].end 26744.89784375
transcript.pyannote[3802].speaker SPEAKER_20
transcript.pyannote[3802].start 26746.11284375
transcript.pyannote[3802].end 26751.25971875
transcript.pyannote[3803].speaker SPEAKER_33
transcript.pyannote[3803].start 26749.25159375
transcript.pyannote[3803].end 26755.79909375
transcript.pyannote[3804].speaker SPEAKER_20
transcript.pyannote[3804].start 26754.01034375
transcript.pyannote[3804].end 26771.50971875
transcript.pyannote[3805].speaker SPEAKER_33
transcript.pyannote[3805].start 26756.03534375
transcript.pyannote[3805].end 26763.79784375
transcript.pyannote[3806].speaker SPEAKER_33
transcript.pyannote[3806].start 26764.08471875
transcript.pyannote[3806].end 26764.40534375
transcript.pyannote[3807].speaker SPEAKER_20
transcript.pyannote[3807].start 26771.89784375
transcript.pyannote[3807].end 26781.85409375
transcript.pyannote[3808].speaker SPEAKER_16
transcript.pyannote[3808].start 26774.27721875
transcript.pyannote[3808].end 26774.36159375
transcript.pyannote[3809].speaker SPEAKER_33
transcript.pyannote[3809].start 26774.36159375
transcript.pyannote[3809].end 26775.03659375
transcript.pyannote[3810].speaker SPEAKER_16
transcript.pyannote[3810].start 26775.03659375
transcript.pyannote[3810].end 26778.91784375
transcript.pyannote[3811].speaker SPEAKER_16
transcript.pyannote[3811].start 26780.87534375
transcript.pyannote[3811].end 26781.66846875
transcript.pyannote[3812].speaker SPEAKER_16
transcript.pyannote[3812].start 26781.68534375
transcript.pyannote[3812].end 26783.76096875
transcript.pyannote[3813].speaker SPEAKER_20
transcript.pyannote[3813].start 26782.22534375
transcript.pyannote[3813].end 26821.32471875
transcript.pyannote[3814].speaker SPEAKER_16
transcript.pyannote[3814].start 26785.95471875
transcript.pyannote[3814].end 26788.14846875
transcript.pyannote[3815].speaker SPEAKER_16
transcript.pyannote[3815].start 26789.27909375
transcript.pyannote[3815].end 26789.54909375
transcript.pyannote[3816].speaker SPEAKER_16
transcript.pyannote[3816].start 26790.08909375
transcript.pyannote[3816].end 26791.10159375
transcript.pyannote[3817].speaker SPEAKER_26
transcript.pyannote[3817].start 26799.16784375
transcript.pyannote[3817].end 26800.63596875
transcript.pyannote[3818].speaker SPEAKER_16
transcript.pyannote[3818].start 26820.29534375
transcript.pyannote[3818].end 26830.03221875
transcript.pyannote[3819].speaker SPEAKER_20
transcript.pyannote[3819].start 26824.17659375
transcript.pyannote[3819].end 26825.72909375
transcript.pyannote[3820].speaker SPEAKER_20
transcript.pyannote[3820].start 26826.82596875
transcript.pyannote[3820].end 26827.12971875
transcript.pyannote[3821].speaker SPEAKER_20
transcript.pyannote[3821].start 26828.24346875
transcript.pyannote[3821].end 26829.25596875
transcript.pyannote[3822].speaker SPEAKER_20
transcript.pyannote[3822].start 26830.03221875
transcript.pyannote[3822].end 26830.77471875
transcript.pyannote[3823].speaker SPEAKER_16
transcript.pyannote[3823].start 26830.77471875
transcript.pyannote[3823].end 26834.48721875
transcript.pyannote[3824].speaker SPEAKER_20
transcript.pyannote[3824].start 26830.79159375
transcript.pyannote[3824].end 26831.97284375
transcript.pyannote[3825].speaker SPEAKER_20
transcript.pyannote[3825].start 26833.71096875
transcript.pyannote[3825].end 26841.84471875
transcript.pyannote[3826].speaker SPEAKER_16
transcript.pyannote[3826].start 26837.20409375
transcript.pyannote[3826].end 26838.84096875
transcript.pyannote[3827].speaker SPEAKER_16
transcript.pyannote[3827].start 26841.84471875
transcript.pyannote[3827].end 26850.73784375
transcript.pyannote[3828].speaker SPEAKER_20
transcript.pyannote[3828].start 26842.21596875
transcript.pyannote[3828].end 26844.81471875
transcript.pyannote[3829].speaker SPEAKER_20
transcript.pyannote[3829].start 26847.39659375
transcript.pyannote[3829].end 26849.53971875
transcript.pyannote[3830].speaker SPEAKER_16
transcript.pyannote[3830].start 26850.85596875
transcript.pyannote[3830].end 26850.88971875
transcript.pyannote[3831].speaker SPEAKER_20
transcript.pyannote[3831].start 26850.88971875
transcript.pyannote[3831].end 26850.97409375
transcript.pyannote[3832].speaker SPEAKER_16
transcript.pyannote[3832].start 26850.97409375
transcript.pyannote[3832].end 26851.02471875
transcript.pyannote[3833].speaker SPEAKER_20
transcript.pyannote[3833].start 26851.02471875
transcript.pyannote[3833].end 26851.48034375
transcript.pyannote[3834].speaker SPEAKER_20
transcript.pyannote[3834].start 26852.25659375
transcript.pyannote[3834].end 26853.35346875
transcript.pyannote[3835].speaker SPEAKER_16
transcript.pyannote[3835].start 26852.39159375
transcript.pyannote[3835].end 26854.04534375
transcript.pyannote[3836].speaker SPEAKER_33
transcript.pyannote[3836].start 26853.65721875
transcript.pyannote[3836].end 26853.67409375
transcript.pyannote[3837].speaker SPEAKER_20
transcript.pyannote[3837].start 26853.67409375
transcript.pyannote[3837].end 26853.92721875
transcript.pyannote[3838].speaker SPEAKER_33
transcript.pyannote[3838].start 26853.92721875
transcript.pyannote[3838].end 26853.94409375
transcript.pyannote[3839].speaker SPEAKER_33
transcript.pyannote[3839].start 26854.04534375
transcript.pyannote[3839].end 26854.26471875
transcript.pyannote[3840].speaker SPEAKER_16
transcript.pyannote[3840].start 26854.26471875
transcript.pyannote[3840].end 26854.41659375
transcript.pyannote[3841].speaker SPEAKER_33
transcript.pyannote[3841].start 26854.41659375
transcript.pyannote[3841].end 26857.65659375
transcript.pyannote[3842].speaker SPEAKER_20
transcript.pyannote[3842].start 26855.83409375
transcript.pyannote[3842].end 26865.31784375
transcript.pyannote[3843].speaker SPEAKER_33
transcript.pyannote[3843].start 26858.01096875
transcript.pyannote[3843].end 26861.31846875
transcript.pyannote[3844].speaker SPEAKER_33
transcript.pyannote[3844].start 26864.37284375
transcript.pyannote[3844].end 26868.47346875
transcript.pyannote[3845].speaker SPEAKER_20
transcript.pyannote[3845].start 26865.75659375
transcript.pyannote[3845].end 26867.08971875
transcript.pyannote[3846].speaker SPEAKER_20
transcript.pyannote[3846].start 26867.91659375
transcript.pyannote[3846].end 26885.29784375
transcript.pyannote[3847].speaker SPEAKER_33
transcript.pyannote[3847].start 26872.79346875
transcript.pyannote[3847].end 26875.96596875
transcript.pyannote[3848].speaker SPEAKER_00
transcript.pyannote[3848].start 26875.96596875
transcript.pyannote[3848].end 26877.02909375
transcript.pyannote[3849].speaker SPEAKER_33
transcript.pyannote[3849].start 26877.02909375
transcript.pyannote[3849].end 26877.34971875
transcript.pyannote[3850].speaker SPEAKER_00
transcript.pyannote[3850].start 26877.34971875
transcript.pyannote[3850].end 26878.02471875
transcript.pyannote[3851].speaker SPEAKER_33
transcript.pyannote[3851].start 26878.02471875
transcript.pyannote[3851].end 26879.56034375
transcript.pyannote[3852].speaker SPEAKER_00
transcript.pyannote[3852].start 26879.56034375
transcript.pyannote[3852].end 26879.59409375
transcript.pyannote[3853].speaker SPEAKER_20
transcript.pyannote[3853].start 26885.77034375
transcript.pyannote[3853].end 26886.49596875
transcript.pyannote[3854].speaker SPEAKER_33
transcript.pyannote[3854].start 26886.79971875
transcript.pyannote[3854].end 26887.60971875
transcript.pyannote[3855].speaker SPEAKER_20
transcript.pyannote[3855].start 26887.20471875
transcript.pyannote[3855].end 26891.98034375
transcript.pyannote[3856].speaker SPEAKER_20
transcript.pyannote[3856].start 26892.13221875
transcript.pyannote[3856].end 26901.34596875
transcript.pyannote[3857].speaker SPEAKER_16
transcript.pyannote[3857].start 26901.34596875
transcript.pyannote[3857].end 26901.91971875
transcript.pyannote[3858].speaker SPEAKER_20
transcript.pyannote[3858].start 26901.98721875
transcript.pyannote[3858].end 26902.74659375
transcript.pyannote[3859].speaker SPEAKER_16
transcript.pyannote[3859].start 26903.05034375
transcript.pyannote[3859].end 26904.60284375
transcript.pyannote[3860].speaker SPEAKER_20
transcript.pyannote[3860].start 26904.60284375
transcript.pyannote[3860].end 26911.35284375
transcript.pyannote[3861].speaker SPEAKER_20
transcript.pyannote[3861].start 26911.53846875
transcript.pyannote[3861].end 26918.03534375
transcript.pyannote[3862].speaker SPEAKER_20
transcript.pyannote[3862].start 26918.32221875
transcript.pyannote[3862].end 26918.84534375
transcript.pyannote[3863].speaker SPEAKER_20
transcript.pyannote[3863].start 26919.26721875
transcript.pyannote[3863].end 26919.95909375
transcript.pyannote[3864].speaker SPEAKER_20
transcript.pyannote[3864].start 26921.12346875
transcript.pyannote[3864].end 26921.73096875
transcript.pyannote[3865].speaker SPEAKER_16
transcript.pyannote[3865].start 26921.51159375
transcript.pyannote[3865].end 26922.33846875
transcript.pyannote[3866].speaker SPEAKER_20
transcript.pyannote[3866].start 26922.82784375
transcript.pyannote[3866].end 26929.51034375
transcript.pyannote[3867].speaker SPEAKER_20
transcript.pyannote[3867].start 26929.76346875
transcript.pyannote[3867].end 26932.59846875
transcript.pyannote[3868].speaker SPEAKER_20
transcript.pyannote[3868].start 26932.88534375
transcript.pyannote[3868].end 26950.26659375
transcript.pyannote[3869].speaker SPEAKER_20
transcript.pyannote[3869].start 26950.55346875
transcript.pyannote[3869].end 26951.51534375
transcript.pyannote[3870].speaker SPEAKER_20
transcript.pyannote[3870].start 26951.92034375
transcript.pyannote[3870].end 26961.38721875
transcript.pyannote[3871].speaker SPEAKER_20
transcript.pyannote[3871].start 26962.26471875
transcript.pyannote[3871].end 26964.34034375
transcript.pyannote[3872].speaker SPEAKER_20
transcript.pyannote[3872].start 26964.86346875
transcript.pyannote[3872].end 26973.68909375
transcript.pyannote[3873].speaker SPEAKER_20
transcript.pyannote[3873].start 26974.06034375
transcript.pyannote[3873].end 26974.78596875
transcript.pyannote[3874].speaker SPEAKER_20
transcript.pyannote[3874].start 26975.52846875
transcript.pyannote[3874].end 26978.75159375
transcript.pyannote[3875].speaker SPEAKER_20
transcript.pyannote[3875].start 26979.29159375
transcript.pyannote[3875].end 26984.23596875
transcript.pyannote[3876].speaker SPEAKER_20
transcript.pyannote[3876].start 26984.50596875
transcript.pyannote[3876].end 26985.41721875
transcript.pyannote[3877].speaker SPEAKER_20
transcript.pyannote[3877].start 26985.65346875
transcript.pyannote[3877].end 26986.58159375
transcript.pyannote[3878].speaker SPEAKER_20
transcript.pyannote[3878].start 26986.66596875
transcript.pyannote[3878].end 26993.14596875
transcript.pyannote[3879].speaker SPEAKER_20
transcript.pyannote[3879].start 26993.58471875
transcript.pyannote[3879].end 26995.42409375
transcript.pyannote[3880].speaker SPEAKER_20
transcript.pyannote[3880].start 26996.16659375
transcript.pyannote[3880].end 26997.90471875
transcript.pyannote[3881].speaker SPEAKER_20
transcript.pyannote[3881].start 26998.68096875
transcript.pyannote[3881].end 27007.97909375
transcript.pyannote[3882].speaker SPEAKER_20
transcript.pyannote[3882].start 27008.35034375
transcript.pyannote[3882].end 27012.31596875
transcript.pyannote[3883].speaker SPEAKER_20
transcript.pyannote[3883].start 27012.50159375
transcript.pyannote[3883].end 27015.03284375
transcript.pyannote[3884].speaker SPEAKER_20
transcript.pyannote[3884].start 27015.52221875
transcript.pyannote[3884].end 27016.63596875
transcript.pyannote[3885].speaker SPEAKER_16
transcript.pyannote[3885].start 27017.34471875
transcript.pyannote[3885].end 27020.01096875
transcript.pyannote[3886].speaker SPEAKER_16
transcript.pyannote[3886].start 27020.58471875
transcript.pyannote[3886].end 27022.28909375
transcript.pyannote[3887].speaker SPEAKER_16
transcript.pyannote[3887].start 27022.37346875
transcript.pyannote[3887].end 27024.48284375
transcript.pyannote[3888].speaker SPEAKER_16
transcript.pyannote[3888].start 27024.58409375
transcript.pyannote[3888].end 27027.70596875
transcript.pyannote[3889].speaker SPEAKER_00
transcript.pyannote[3889].start 27024.70221875
transcript.pyannote[3889].end 27024.71909375
transcript.pyannote[3890].speaker SPEAKER_20
transcript.pyannote[3890].start 27024.71909375
transcript.pyannote[3890].end 27024.92159375
transcript.pyannote[3891].speaker SPEAKER_00
transcript.pyannote[3891].start 27024.92159375
transcript.pyannote[3891].end 27024.93846875
transcript.pyannote[3892].speaker SPEAKER_16
transcript.pyannote[3892].start 27027.80721875
transcript.pyannote[3892].end 27031.01346875
transcript.pyannote[3893].speaker SPEAKER_20
transcript.pyannote[3893].start 27030.33846875
transcript.pyannote[3893].end 27035.78909375
transcript.pyannote[3894].speaker SPEAKER_20
transcript.pyannote[3894].start 27036.21096875
transcript.pyannote[3894].end 27037.98284375
transcript.pyannote[3895].speaker SPEAKER_16
transcript.pyannote[3895].start 27036.46409375
transcript.pyannote[3895].end 27036.95346875
transcript.pyannote[3896].speaker SPEAKER_16
transcript.pyannote[3896].start 27037.02096875
transcript.pyannote[3896].end 27041.56034375
transcript.pyannote[3897].speaker SPEAKER_16
transcript.pyannote[3897].start 27041.84721875
transcript.pyannote[3897].end 27044.39534375
transcript.pyannote[3898].speaker SPEAKER_20
transcript.pyannote[3898].start 27041.86409375
transcript.pyannote[3898].end 27046.31909375
transcript.pyannote[3899].speaker SPEAKER_20
transcript.pyannote[3899].start 27047.04471875
transcript.pyannote[3899].end 27047.66909375
transcript.pyannote[3900].speaker SPEAKER_20
transcript.pyannote[3900].start 27047.98971875
transcript.pyannote[3900].end 27052.88346875
transcript.pyannote[3901].speaker SPEAKER_20
transcript.pyannote[3901].start 27053.38971875
transcript.pyannote[3901].end 27063.24471875
transcript.pyannote[3902].speaker SPEAKER_20
transcript.pyannote[3902].start 27063.53159375
transcript.pyannote[3902].end 27069.75846875
transcript.pyannote[3903].speaker SPEAKER_20
transcript.pyannote[3903].start 27070.26471875
transcript.pyannote[3903].end 27084.45659375
transcript.pyannote[3904].speaker SPEAKER_20
transcript.pyannote[3904].start 27084.77721875
transcript.pyannote[3904].end 27096.08346875
transcript.pyannote[3905].speaker SPEAKER_20
transcript.pyannote[3905].start 27096.31971875
transcript.pyannote[3905].end 27107.71034375
transcript.pyannote[3906].speaker SPEAKER_20
transcript.pyannote[3906].start 27108.63846875
transcript.pyannote[3906].end 27111.57471875
transcript.pyannote[3907].speaker SPEAKER_20
transcript.pyannote[3907].start 27112.01346875
transcript.pyannote[3907].end 27115.27034375
transcript.pyannote[3908].speaker SPEAKER_20
transcript.pyannote[3908].start 27116.02971875
transcript.pyannote[3908].end 27117.85221875
transcript.pyannote[3909].speaker SPEAKER_20
transcript.pyannote[3909].start 27118.20659375
transcript.pyannote[3909].end 27118.79721875
transcript.pyannote[3910].speaker SPEAKER_20
transcript.pyannote[3910].start 27119.05034375
transcript.pyannote[3910].end 27119.62409375
transcript.pyannote[3911].speaker SPEAKER_20
transcript.pyannote[3911].start 27119.97846875
transcript.pyannote[3911].end 27121.63221875
transcript.pyannote[3912].speaker SPEAKER_16
transcript.pyannote[3912].start 27122.25659375
transcript.pyannote[3912].end 27127.58909375
transcript.pyannote[3913].speaker SPEAKER_20
transcript.pyannote[3913].start 27127.90971875
transcript.pyannote[3913].end 27149.03721875
transcript.pyannote[3914].speaker SPEAKER_16
transcript.pyannote[3914].start 27134.92971875
transcript.pyannote[3914].end 27135.63846875
transcript.pyannote[3915].speaker SPEAKER_16
transcript.pyannote[3915].start 27135.75659375
transcript.pyannote[3915].end 27136.68471875
transcript.pyannote[3916].speaker SPEAKER_16
transcript.pyannote[3916].start 27147.07971875
transcript.pyannote[3916].end 27148.53096875
transcript.pyannote[3917].speaker SPEAKER_16
transcript.pyannote[3917].start 27148.98659375
transcript.pyannote[3917].end 27152.12534375
transcript.pyannote[3918].speaker SPEAKER_33
transcript.pyannote[3918].start 27153.07034375
transcript.pyannote[3918].end 27154.70721875
transcript.pyannote[3919].speaker SPEAKER_33
transcript.pyannote[3919].start 27155.24721875
transcript.pyannote[3919].end 27186.11159375
transcript.pyannote[3920].speaker SPEAKER_33
transcript.pyannote[3920].start 27186.28034375
transcript.pyannote[3920].end 27195.00471875
transcript.pyannote[3921].speaker SPEAKER_20
transcript.pyannote[3921].start 27195.56159375
transcript.pyannote[3921].end 27197.09721875
transcript.pyannote[3922].speaker SPEAKER_33
transcript.pyannote[3922].start 27197.09721875
transcript.pyannote[3922].end 27197.29971875
transcript.pyannote[3923].speaker SPEAKER_20
transcript.pyannote[3923].start 27197.83971875
transcript.pyannote[3923].end 27209.46659375
transcript.pyannote[3924].speaker SPEAKER_33
transcript.pyannote[3924].start 27197.97471875
transcript.pyannote[3924].end 27199.07159375
transcript.pyannote[3925].speaker SPEAKER_20
transcript.pyannote[3925].start 27209.56784375
transcript.pyannote[3925].end 27225.00846875
transcript.pyannote[3926].speaker SPEAKER_16
transcript.pyannote[3926].start 27217.12784375
transcript.pyannote[3926].end 27219.03471875
transcript.pyannote[3927].speaker SPEAKER_33
transcript.pyannote[3927].start 27219.03471875
transcript.pyannote[3927].end 27219.72659375
transcript.pyannote[3928].speaker SPEAKER_16
transcript.pyannote[3928].start 27219.72659375
transcript.pyannote[3928].end 27219.77721875
transcript.pyannote[3929].speaker SPEAKER_33
transcript.pyannote[3929].start 27224.09721875
transcript.pyannote[3929].end 27229.44659375
transcript.pyannote[3930].speaker SPEAKER_20
transcript.pyannote[3930].start 27228.83909375
transcript.pyannote[3930].end 27234.03659375
transcript.pyannote[3931].speaker SPEAKER_33
transcript.pyannote[3931].start 27233.17596875
transcript.pyannote[3931].end 27233.46284375
transcript.pyannote[3932].speaker SPEAKER_20
transcript.pyannote[3932].start 27234.13784375
transcript.pyannote[3932].end 27236.02784375
transcript.pyannote[3933].speaker SPEAKER_20
transcript.pyannote[3933].start 27236.61846875
transcript.pyannote[3933].end 27239.21721875
transcript.pyannote[3934].speaker SPEAKER_20
transcript.pyannote[3934].start 27240.04409375
transcript.pyannote[3934].end 27240.48284375
transcript.pyannote[3935].speaker SPEAKER_20
transcript.pyannote[3935].start 27241.25909375
transcript.pyannote[3935].end 27241.68096875
transcript.pyannote[3936].speaker SPEAKER_20
transcript.pyannote[3936].start 27242.54159375
transcript.pyannote[3936].end 27243.11534375
transcript.pyannote[3937].speaker SPEAKER_33
transcript.pyannote[3937].start 27242.62596875
transcript.pyannote[3937].end 27243.31784375
transcript.pyannote[3938].speaker SPEAKER_20
transcript.pyannote[3938].start 27243.31784375
transcript.pyannote[3938].end 27247.97534375
transcript.pyannote[3939].speaker SPEAKER_20
transcript.pyannote[3939].start 27249.03846875
transcript.pyannote[3939].end 27249.47721875
transcript.pyannote[3940].speaker SPEAKER_33
transcript.pyannote[3940].start 27250.30409375
transcript.pyannote[3940].end 27250.96221875
transcript.pyannote[3941].speaker SPEAKER_20
transcript.pyannote[3941].start 27251.29971875
transcript.pyannote[3941].end 27251.35034375
transcript.pyannote[3942].speaker SPEAKER_33
transcript.pyannote[3942].start 27251.35034375
transcript.pyannote[3942].end 27251.38409375
transcript.pyannote[3943].speaker SPEAKER_20
transcript.pyannote[3943].start 27251.38409375
transcript.pyannote[3943].end 27252.36284375
transcript.pyannote[3944].speaker SPEAKER_20
transcript.pyannote[3944].start 27253.37534375
transcript.pyannote[3944].end 27255.60284375
transcript.pyannote[3945].speaker SPEAKER_20
transcript.pyannote[3945].start 27256.00784375
transcript.pyannote[3945].end 27261.69471875
transcript.pyannote[3946].speaker SPEAKER_20
transcript.pyannote[3946].start 27262.30221875
transcript.pyannote[3946].end 27263.88846875
transcript.pyannote[3947].speaker SPEAKER_20
transcript.pyannote[3947].start 27264.22596875
transcript.pyannote[3947].end 27265.08659375
transcript.pyannote[3948].speaker SPEAKER_20
transcript.pyannote[3948].start 27265.99784375
transcript.pyannote[3948].end 27269.25471875
transcript.pyannote[3949].speaker SPEAKER_20
transcript.pyannote[3949].start 27269.54159375
transcript.pyannote[3949].end 27270.08159375
transcript.pyannote[3950].speaker SPEAKER_20
transcript.pyannote[3950].start 27270.94221875
transcript.pyannote[3950].end 27272.29221875
transcript.pyannote[3951].speaker SPEAKER_20
transcript.pyannote[3951].start 27273.33846875
transcript.pyannote[3951].end 27277.30409375
transcript.pyannote[3952].speaker SPEAKER_20
transcript.pyannote[3952].start 27278.16471875
transcript.pyannote[3952].end 27281.60721875
transcript.pyannote[3953].speaker SPEAKER_20
transcript.pyannote[3953].start 27281.86034375
transcript.pyannote[3953].end 27282.83909375
transcript.pyannote[3954].speaker SPEAKER_20
transcript.pyannote[3954].start 27283.31159375
transcript.pyannote[3954].end 27289.09971875
transcript.pyannote[3955].speaker SPEAKER_20
transcript.pyannote[3955].start 27289.38659375
transcript.pyannote[3955].end 27292.33971875
transcript.pyannote[3956].speaker SPEAKER_20
transcript.pyannote[3956].start 27292.37346875
transcript.pyannote[3956].end 27293.48721875
transcript.pyannote[3957].speaker SPEAKER_20
transcript.pyannote[3957].start 27294.19596875
transcript.pyannote[3957].end 27295.52909375
transcript.pyannote[3958].speaker SPEAKER_20
transcript.pyannote[3958].start 27295.66409375
transcript.pyannote[3958].end 27297.08159375
transcript.pyannote[3959].speaker SPEAKER_20
transcript.pyannote[3959].start 27297.26721875
transcript.pyannote[3959].end 27298.19534375
transcript.pyannote[3960].speaker SPEAKER_20
transcript.pyannote[3960].start 27298.22909375
transcript.pyannote[3960].end 27302.54909375
transcript.pyannote[3961].speaker SPEAKER_16
transcript.pyannote[3961].start 27302.88659375
transcript.pyannote[3961].end 27305.43471875
transcript.pyannote[3962].speaker SPEAKER_16
transcript.pyannote[3962].start 27305.77221875
transcript.pyannote[3962].end 27308.64096875
transcript.pyannote[3963].speaker SPEAKER_16
transcript.pyannote[3963].start 27308.80971875
transcript.pyannote[3963].end 27309.87284375
transcript.pyannote[3964].speaker SPEAKER_20
transcript.pyannote[3964].start 27310.02471875
transcript.pyannote[3964].end 27324.55409375
transcript.pyannote[3965].speaker SPEAKER_16
transcript.pyannote[3965].start 27313.66971875
transcript.pyannote[3965].end 27316.03221875
transcript.pyannote[3966].speaker SPEAKER_25
transcript.pyannote[3966].start 27316.03221875
transcript.pyannote[3966].end 27316.43721875
transcript.pyannote[3967].speaker SPEAKER_16
transcript.pyannote[3967].start 27316.43721875
transcript.pyannote[3967].end 27316.97721875
transcript.pyannote[3968].speaker SPEAKER_25
transcript.pyannote[3968].start 27324.16596875
transcript.pyannote[3968].end 27324.73971875
transcript.pyannote[3969].speaker SPEAKER_20
transcript.pyannote[3969].start 27324.73971875
transcript.pyannote[3969].end 27343.55534375
transcript.pyannote[3970].speaker SPEAKER_16
transcript.pyannote[3970].start 27342.20534375
transcript.pyannote[3970].end 27347.62221875
transcript.pyannote[3971].speaker SPEAKER_20
transcript.pyannote[3971].start 27344.39909375
transcript.pyannote[3971].end 27344.85471875
transcript.pyannote[3972].speaker SPEAKER_16
transcript.pyannote[3972].start 27347.77409375
transcript.pyannote[3972].end 27350.10284375
transcript.pyannote[3973].speaker SPEAKER_20
transcript.pyannote[3973].start 27349.09034375
transcript.pyannote[3973].end 27356.63346875
transcript.pyannote[3974].speaker SPEAKER_16
transcript.pyannote[3974].start 27356.63346875
transcript.pyannote[3974].end 27357.62909375
transcript.pyannote[3975].speaker SPEAKER_20
transcript.pyannote[3975].start 27356.76846875
transcript.pyannote[3975].end 27361.91534375
transcript.pyannote[3976].speaker SPEAKER_16
transcript.pyannote[3976].start 27360.90284375
transcript.pyannote[3976].end 27362.03346875
transcript.pyannote[3977].speaker SPEAKER_20
transcript.pyannote[3977].start 27362.03346875
transcript.pyannote[3977].end 27368.74971875
transcript.pyannote[3978].speaker SPEAKER_20
transcript.pyannote[3978].start 27369.61034375
transcript.pyannote[3978].end 27372.64784375
transcript.pyannote[3979].speaker SPEAKER_20
transcript.pyannote[3979].start 27372.91784375
transcript.pyannote[3979].end 27373.72784375
transcript.pyannote[3980].speaker SPEAKER_20
transcript.pyannote[3980].start 27374.14971875
transcript.pyannote[3980].end 27374.85846875
transcript.pyannote[3981].speaker SPEAKER_20
transcript.pyannote[3981].start 27375.07784375
transcript.pyannote[3981].end 27378.30096875
transcript.pyannote[3982].speaker SPEAKER_20
transcript.pyannote[3982].start 27379.07721875
transcript.pyannote[3982].end 27381.01784375
transcript.pyannote[3983].speaker SPEAKER_20
transcript.pyannote[3983].start 27381.67596875
transcript.pyannote[3983].end 27381.94596875
transcript.pyannote[3984].speaker SPEAKER_20
transcript.pyannote[3984].start 27382.38471875
transcript.pyannote[3984].end 27388.10534375
transcript.pyannote[3985].speaker SPEAKER_20
transcript.pyannote[3985].start 27388.72971875
transcript.pyannote[3985].end 27393.25221875
transcript.pyannote[3986].speaker SPEAKER_20
transcript.pyannote[3986].start 27393.62346875
transcript.pyannote[3986].end 27406.00971875
transcript.pyannote[3987].speaker SPEAKER_20
transcript.pyannote[3987].start 27406.56659375
transcript.pyannote[3987].end 27409.48596875
transcript.pyannote[3988].speaker SPEAKER_20
transcript.pyannote[3988].start 27409.94159375
transcript.pyannote[3988].end 27411.34221875
transcript.pyannote[3989].speaker SPEAKER_24
transcript.pyannote[3989].start 27413.08034375
transcript.pyannote[3989].end 27417.92346875
transcript.pyannote[3990].speaker SPEAKER_24
transcript.pyannote[3990].start 27418.34534375
transcript.pyannote[3990].end 27420.45471875
transcript.pyannote[3991].speaker SPEAKER_20
transcript.pyannote[3991].start 27420.45471875
transcript.pyannote[3991].end 27428.06534375
transcript.pyannote[3992].speaker SPEAKER_24
transcript.pyannote[3992].start 27424.31909375
transcript.pyannote[3992].end 27426.04034375
transcript.pyannote[3993].speaker SPEAKER_24
transcript.pyannote[3993].start 27428.06534375
transcript.pyannote[3993].end 27428.38596875
transcript.pyannote[3994].speaker SPEAKER_20
transcript.pyannote[3994].start 27428.38596875
transcript.pyannote[3994].end 27428.97659375
transcript.pyannote[3995].speaker SPEAKER_24
transcript.pyannote[3995].start 27428.97659375
transcript.pyannote[3995].end 27431.99721875
transcript.pyannote[3996].speaker SPEAKER_24
transcript.pyannote[3996].start 27432.58784375
transcript.pyannote[3996].end 27434.76471875
transcript.pyannote[3997].speaker SPEAKER_24
transcript.pyannote[3997].start 27435.16971875
transcript.pyannote[3997].end 27437.11034375
transcript.pyannote[3998].speaker SPEAKER_20
transcript.pyannote[3998].start 27436.57034375
transcript.pyannote[3998].end 27442.18971875
transcript.pyannote[3999].speaker SPEAKER_20
transcript.pyannote[3999].start 27442.64534375
transcript.pyannote[3999].end 27443.72534375
transcript.pyannote[4000].speaker SPEAKER_24
transcript.pyannote[4000].start 27442.66221875
transcript.pyannote[4000].end 27443.67471875
transcript.pyannote[4001].speaker SPEAKER_24
transcript.pyannote[4001].start 27443.72534375
transcript.pyannote[4001].end 27450.77909375
transcript.pyannote[4002].speaker SPEAKER_20
transcript.pyannote[4002].start 27444.41721875
transcript.pyannote[4002].end 27445.42971875
transcript.pyannote[4003].speaker SPEAKER_20
transcript.pyannote[4003].start 27445.86846875
transcript.pyannote[4003].end 27446.34096875
transcript.pyannote[4004].speaker SPEAKER_20
transcript.pyannote[4004].start 27448.78784375
transcript.pyannote[4004].end 27459.18284375
transcript.pyannote[4005].speaker SPEAKER_20
transcript.pyannote[4005].start 27459.75659375
transcript.pyannote[4005].end 27463.36784375
transcript.pyannote[4006].speaker SPEAKER_25
transcript.pyannote[4006].start 27461.47784375
transcript.pyannote[4006].end 27461.49471875
transcript.pyannote[4007].speaker SPEAKER_24
transcript.pyannote[4007].start 27461.49471875
transcript.pyannote[4007].end 27463.62096875
transcript.pyannote[4008].speaker SPEAKER_20
transcript.pyannote[4008].start 27463.62096875
transcript.pyannote[4008].end 27463.70534375
transcript.pyannote[4009].speaker SPEAKER_24
transcript.pyannote[4009].start 27463.70534375
transcript.pyannote[4009].end 27463.84034375
transcript.pyannote[4010].speaker SPEAKER_20
transcript.pyannote[4010].start 27463.84034375
transcript.pyannote[4010].end 27466.55721875
transcript.pyannote[4011].speaker SPEAKER_24
transcript.pyannote[4011].start 27463.92471875
transcript.pyannote[4011].end 27464.31284375
transcript.pyannote[4012].speaker SPEAKER_24
transcript.pyannote[4012].start 27464.97096875
transcript.pyannote[4012].end 27474.45471875
transcript.pyannote[4013].speaker SPEAKER_24
transcript.pyannote[4013].start 27475.01159375
transcript.pyannote[4013].end 27476.17596875
transcript.pyannote[4014].speaker SPEAKER_20
transcript.pyannote[4014].start 27476.41221875
transcript.pyannote[4014].end 27478.70721875
transcript.pyannote[4015].speaker SPEAKER_24
transcript.pyannote[4015].start 27478.25159375
transcript.pyannote[4015].end 27484.93409375
transcript.pyannote[4016].speaker SPEAKER_20
transcript.pyannote[4016].start 27480.73221875
transcript.pyannote[4016].end 27485.52471875
transcript.pyannote[4017].speaker SPEAKER_24
transcript.pyannote[4017].start 27485.69346875
transcript.pyannote[4017].end 27486.04784375
transcript.pyannote[4018].speaker SPEAKER_20
transcript.pyannote[4018].start 27486.04784375
transcript.pyannote[4018].end 27487.26284375
transcript.pyannote[4019].speaker SPEAKER_24
transcript.pyannote[4019].start 27487.36409375
transcript.pyannote[4019].end 27489.32159375
transcript.pyannote[4020].speaker SPEAKER_20
transcript.pyannote[4020].start 27489.42284375
transcript.pyannote[4020].end 27492.51096875
transcript.pyannote[4021].speaker SPEAKER_24
transcript.pyannote[4021].start 27493.15221875
transcript.pyannote[4021].end 27494.45159375
transcript.pyannote[4022].speaker SPEAKER_20
transcript.pyannote[4022].start 27494.45159375
transcript.pyannote[4022].end 27494.46846875
transcript.pyannote[4023].speaker SPEAKER_24
transcript.pyannote[4023].start 27494.46846875
transcript.pyannote[4023].end 27494.55284375
transcript.pyannote[4024].speaker SPEAKER_20
transcript.pyannote[4024].start 27494.55284375
transcript.pyannote[4024].end 27513.95909375
transcript.pyannote[4025].speaker SPEAKER_24
transcript.pyannote[4025].start 27500.12159375
transcript.pyannote[4025].end 27503.83409375
transcript.pyannote[4026].speaker SPEAKER_06
transcript.pyannote[4026].start 27510.61784375
transcript.pyannote[4026].end 27518.54909375
transcript.pyannote[4027].speaker SPEAKER_20
transcript.pyannote[4027].start 27514.53284375
transcript.pyannote[4027].end 27518.78534375
transcript.pyannote[4028].speaker SPEAKER_20
transcript.pyannote[4028].start 27519.13971875
transcript.pyannote[4028].end 27519.76409375
transcript.pyannote[4029].speaker SPEAKER_20
transcript.pyannote[4029].start 27520.18596875
transcript.pyannote[4029].end 27522.90284375
transcript.pyannote[4030].speaker SPEAKER_07
transcript.pyannote[4030].start 27522.90284375
transcript.pyannote[4030].end 27523.56096875
transcript.pyannote[4031].speaker SPEAKER_07
transcript.pyannote[4031].start 27524.37096875
transcript.pyannote[4031].end 27529.33221875
transcript.pyannote[4032].speaker SPEAKER_07
transcript.pyannote[4032].start 27529.72034375
transcript.pyannote[4032].end 27530.59784375
transcript.pyannote[4033].speaker SPEAKER_07
transcript.pyannote[4033].start 27531.86346875
transcript.pyannote[4033].end 27535.30596875
transcript.pyannote[4034].speaker SPEAKER_07
transcript.pyannote[4034].start 27535.59284375
transcript.pyannote[4034].end 27538.05659375
transcript.pyannote[4035].speaker SPEAKER_07
transcript.pyannote[4035].start 27538.29284375
transcript.pyannote[4035].end 27543.82784375
transcript.pyannote[4036].speaker SPEAKER_07
transcript.pyannote[4036].start 27543.92909375
transcript.pyannote[4036].end 27546.24096875
transcript.pyannote[4037].speaker SPEAKER_07
transcript.pyannote[4037].start 27546.61221875
transcript.pyannote[4037].end 27548.18159375
transcript.pyannote[4038].speaker SPEAKER_20
transcript.pyannote[4038].start 27548.18159375
transcript.pyannote[4038].end 27548.43471875
transcript.pyannote[4039].speaker SPEAKER_20
transcript.pyannote[4039].start 27548.83971875
transcript.pyannote[4039].end 27549.70034375
transcript.pyannote[4040].speaker SPEAKER_20
transcript.pyannote[4040].start 27550.24034375
transcript.pyannote[4040].end 27552.02909375
transcript.pyannote[4041].speaker SPEAKER_20
transcript.pyannote[4041].start 27552.87284375
transcript.pyannote[4041].end 27555.37034375
transcript.pyannote[4042].speaker SPEAKER_20
transcript.pyannote[4042].start 27555.64034375
transcript.pyannote[4042].end 27556.93971875
transcript.pyannote[4043].speaker SPEAKER_20
transcript.pyannote[4043].start 27557.12534375
transcript.pyannote[4043].end 27566.27159375
transcript.pyannote[4044].speaker SPEAKER_20
transcript.pyannote[4044].start 27566.77784375
transcript.pyannote[4044].end 27570.89534375
transcript.pyannote[4045].speaker SPEAKER_20
transcript.pyannote[4045].start 27571.87409375
transcript.pyannote[4045].end 27574.40534375
transcript.pyannote[4046].speaker SPEAKER_20
transcript.pyannote[4046].start 27574.70909375
transcript.pyannote[4046].end 27581.34096875
transcript.pyannote[4047].speaker SPEAKER_20
transcript.pyannote[4047].start 27581.79659375
transcript.pyannote[4047].end 27585.81284375
transcript.pyannote[4048].speaker SPEAKER_20
transcript.pyannote[4048].start 27586.06596875
transcript.pyannote[4048].end 27594.53721875
transcript.pyannote[4049].speaker SPEAKER_20
transcript.pyannote[4049].start 27594.63846875
transcript.pyannote[4049].end 27595.93784375
transcript.pyannote[4050].speaker SPEAKER_24
transcript.pyannote[4050].start 27596.19096875
transcript.pyannote[4050].end 27601.42221875
transcript.pyannote[4051].speaker SPEAKER_24
transcript.pyannote[4051].start 27602.08034375
transcript.pyannote[4051].end 27606.23159375
transcript.pyannote[4052].speaker SPEAKER_24
transcript.pyannote[4052].start 27606.51846875
transcript.pyannote[4052].end 27618.26346875
transcript.pyannote[4053].speaker SPEAKER_24
transcript.pyannote[4053].start 27618.85409375
transcript.pyannote[4053].end 27620.47409375
transcript.pyannote[4054].speaker SPEAKER_24
transcript.pyannote[4054].start 27620.65971875
transcript.pyannote[4054].end 27625.68846875
transcript.pyannote[4055].speaker SPEAKER_24
transcript.pyannote[4055].start 27625.85721875
transcript.pyannote[4055].end 27635.64471875
transcript.pyannote[4056].speaker SPEAKER_24
transcript.pyannote[4056].start 27635.99909375
transcript.pyannote[4056].end 27638.80034375
transcript.pyannote[4057].speaker SPEAKER_24
transcript.pyannote[4057].start 27639.03659375
transcript.pyannote[4057].end 27643.59284375
transcript.pyannote[4058].speaker SPEAKER_20
transcript.pyannote[4058].start 27641.16284375
transcript.pyannote[4058].end 27653.53221875
transcript.pyannote[4059].speaker SPEAKER_20
transcript.pyannote[4059].start 27653.98784375
transcript.pyannote[4059].end 27654.73034375
transcript.pyannote[4060].speaker SPEAKER_20
transcript.pyannote[4060].start 27655.38846875
transcript.pyannote[4060].end 27663.45471875
transcript.pyannote[4061].speaker SPEAKER_20
transcript.pyannote[4061].start 27663.75846875
transcript.pyannote[4061].end 27665.73284375
transcript.pyannote[4062].speaker SPEAKER_20
transcript.pyannote[4062].start 27665.98596875
transcript.pyannote[4062].end 27670.05284375
transcript.pyannote[4063].speaker SPEAKER_20
transcript.pyannote[4063].start 27670.82909375
transcript.pyannote[4063].end 27674.30534375
transcript.pyannote[4064].speaker SPEAKER_20
transcript.pyannote[4064].start 27674.72721875
transcript.pyannote[4064].end 27680.65034375
transcript.pyannote[4065].speaker SPEAKER_20
transcript.pyannote[4065].start 27681.44346875
transcript.pyannote[4065].end 27682.96221875
transcript.pyannote[4066].speaker SPEAKER_20
transcript.pyannote[4066].start 27683.41784375
transcript.pyannote[4066].end 27685.72971875
transcript.pyannote[4067].speaker SPEAKER_20
transcript.pyannote[4067].start 27686.30346875
transcript.pyannote[4067].end 27687.43409375
transcript.pyannote[4068].speaker SPEAKER_20
transcript.pyannote[4068].start 27687.65346875
transcript.pyannote[4068].end 27690.74159375
transcript.pyannote[4069].speaker SPEAKER_20
transcript.pyannote[4069].start 27690.91034375
transcript.pyannote[4069].end 27699.71909375
transcript.pyannote[4070].speaker SPEAKER_26
transcript.pyannote[4070].start 27699.66846875
transcript.pyannote[4070].end 27700.14096875
transcript.pyannote[4071].speaker SPEAKER_20
transcript.pyannote[4071].start 27700.14096875
transcript.pyannote[4071].end 27706.51971875
transcript.pyannote[4072].speaker SPEAKER_20
transcript.pyannote[4072].start 27706.75596875
transcript.pyannote[4072].end 27715.76721875
transcript.pyannote[4073].speaker SPEAKER_20
transcript.pyannote[4073].start 27716.05409375
transcript.pyannote[4073].end 27736.64159375
transcript.pyannote[4074].speaker SPEAKER_20
transcript.pyannote[4074].start 27736.91159375
transcript.pyannote[4074].end 27739.93221875
transcript.pyannote[4075].speaker SPEAKER_20
transcript.pyannote[4075].start 27739.98284375
transcript.pyannote[4075].end 27744.38721875
transcript.pyannote[4076].speaker SPEAKER_16
transcript.pyannote[4076].start 27745.02846875
transcript.pyannote[4076].end 27746.88471875
transcript.pyannote[4077].speaker SPEAKER_16
transcript.pyannote[4077].start 27747.23909375
transcript.pyannote[4077].end 27750.95159375
transcript.pyannote[4078].speaker SPEAKER_16
transcript.pyannote[4078].start 27751.18784375
transcript.pyannote[4078].end 27753.88784375
transcript.pyannote[4079].speaker SPEAKER_16
transcript.pyannote[4079].start 27754.09034375
transcript.pyannote[4079].end 27755.81159375
transcript.pyannote[4080].speaker SPEAKER_16
transcript.pyannote[4080].start 27756.11534375
transcript.pyannote[4080].end 27759.00096875
transcript.pyannote[4081].speaker SPEAKER_00
transcript.pyannote[4081].start 27757.85346875
transcript.pyannote[4081].end 27758.10659375
transcript.pyannote[4082].speaker SPEAKER_16
transcript.pyannote[4082].start 27759.30471875
transcript.pyannote[4082].end 27760.24971875
transcript.pyannote[4083].speaker SPEAKER_16
transcript.pyannote[4083].start 27760.38471875
transcript.pyannote[4083].end 27764.02971875
transcript.pyannote[4084].speaker SPEAKER_16
transcript.pyannote[4084].start 27764.11409375
transcript.pyannote[4084].end 27767.92784375
transcript.pyannote[4085].speaker SPEAKER_16
transcript.pyannote[4085].start 27768.09659375
transcript.pyannote[4085].end 27769.85159375
transcript.pyannote[4086].speaker SPEAKER_16
transcript.pyannote[4086].start 27770.37471875
transcript.pyannote[4086].end 27771.62346875
transcript.pyannote[4087].speaker SPEAKER_16
transcript.pyannote[4087].start 27771.84284375
transcript.pyannote[4087].end 27773.61471875
transcript.pyannote[4088].speaker SPEAKER_20
transcript.pyannote[4088].start 27773.17596875
transcript.pyannote[4088].end 27775.03221875
transcript.pyannote[4089].speaker SPEAKER_20
transcript.pyannote[4089].start 27775.35284375
transcript.pyannote[4089].end 27781.29284375
transcript.pyannote[4090].speaker SPEAKER_20
transcript.pyannote[4090].start 27783.75659375
transcript.pyannote[4090].end 27784.46534375
transcript.pyannote[4091].speaker SPEAKER_16
transcript.pyannote[4091].start 27783.87471875
transcript.pyannote[4091].end 27790.20284375
transcript.pyannote[4092].speaker SPEAKER_20
transcript.pyannote[4092].start 27785.66346875
transcript.pyannote[4092].end 27786.64221875
transcript.pyannote[4093].speaker SPEAKER_20
transcript.pyannote[4093].start 27790.37159375
transcript.pyannote[4093].end 27798.11721875
transcript.pyannote[4094].speaker SPEAKER_20
transcript.pyannote[4094].start 27798.31971875
transcript.pyannote[4094].end 27801.05346875
transcript.pyannote[4095].speaker SPEAKER_20
transcript.pyannote[4095].start 27801.62721875
transcript.pyannote[4095].end 27809.22096875
transcript.pyannote[4096].speaker SPEAKER_20
transcript.pyannote[4096].start 27809.67659375
transcript.pyannote[4096].end 27810.50346875
transcript.pyannote[4097].speaker SPEAKER_20
transcript.pyannote[4097].start 27812.17409375
transcript.pyannote[4097].end 27814.73909375
transcript.pyannote[4098].speaker SPEAKER_20
transcript.pyannote[4098].start 27814.97534375
transcript.pyannote[4098].end 27818.01284375
transcript.pyannote[4099].speaker SPEAKER_20
transcript.pyannote[4099].start 27818.36721875
transcript.pyannote[4099].end 27824.93159375
transcript.pyannote[4100].speaker SPEAKER_20
transcript.pyannote[4100].start 27825.26909375
transcript.pyannote[4100].end 27825.89346875
transcript.pyannote[4101].speaker SPEAKER_20
transcript.pyannote[4101].start 27826.45034375
transcript.pyannote[4101].end 27835.15784375
transcript.pyannote[4102].speaker SPEAKER_20
transcript.pyannote[4102].start 27835.37721875
transcript.pyannote[4102].end 27839.39346875
transcript.pyannote[4103].speaker SPEAKER_20
transcript.pyannote[4103].start 27839.71409375
transcript.pyannote[4103].end 27840.99659375
transcript.pyannote[4104].speaker SPEAKER_16
transcript.pyannote[4104].start 27841.67159375
transcript.pyannote[4104].end 27846.16034375
transcript.pyannote[4105].speaker SPEAKER_20
transcript.pyannote[4105].start 27845.18159375
transcript.pyannote[4105].end 27846.63284375
transcript.pyannote[4106].speaker SPEAKER_16
transcript.pyannote[4106].start 27846.86909375
transcript.pyannote[4106].end 27851.62784375
transcript.pyannote[4107].speaker SPEAKER_16
transcript.pyannote[4107].start 27851.67846875
transcript.pyannote[4107].end 27852.70784375
transcript.pyannote[4108].speaker SPEAKER_16
transcript.pyannote[4108].start 27852.84284375
transcript.pyannote[4108].end 27854.07471875
transcript.pyannote[4109].speaker SPEAKER_16
transcript.pyannote[4109].start 27854.22659375
transcript.pyannote[4109].end 27856.38659375
transcript.pyannote[4110].speaker SPEAKER_16
transcript.pyannote[4110].start 27856.62284375
transcript.pyannote[4110].end 27857.73659375
transcript.pyannote[4111].speaker SPEAKER_16
transcript.pyannote[4111].start 27858.15846875
transcript.pyannote[4111].end 27860.08221875
transcript.pyannote[4112].speaker SPEAKER_16
transcript.pyannote[4112].start 27860.23409375
transcript.pyannote[4112].end 27861.07784375
transcript.pyannote[4113].speaker SPEAKER_16
transcript.pyannote[4113].start 27861.56721875
transcript.pyannote[4113].end 27865.61721875
transcript.pyannote[4114].speaker SPEAKER_20
transcript.pyannote[4114].start 27865.87034375
transcript.pyannote[4114].end 27867.70971875
transcript.pyannote[4115].speaker SPEAKER_20
transcript.pyannote[4115].start 27868.01346875
transcript.pyannote[4115].end 27872.80596875
transcript.pyannote[4116].speaker SPEAKER_20
transcript.pyannote[4116].start 27873.26159375
transcript.pyannote[4116].end 27873.91971875
transcript.pyannote[4117].speaker SPEAKER_20
transcript.pyannote[4117].start 27874.40909375
transcript.pyannote[4117].end 27884.55096875
transcript.pyannote[4118].speaker SPEAKER_16
transcript.pyannote[4118].start 27883.90971875
transcript.pyannote[4118].end 27885.37784375
transcript.pyannote[4119].speaker SPEAKER_20
transcript.pyannote[4119].start 27885.58034375
transcript.pyannote[4119].end 27888.51659375
transcript.pyannote[4120].speaker SPEAKER_20
transcript.pyannote[4120].start 27888.82034375
transcript.pyannote[4120].end 27897.46034375
transcript.pyannote[4121].speaker SPEAKER_20
transcript.pyannote[4121].start 27898.35471875
transcript.pyannote[4121].end 27902.50596875
transcript.pyannote[4122].speaker SPEAKER_20
transcript.pyannote[4122].start 27902.92784375
transcript.pyannote[4122].end 27904.22721875
transcript.pyannote[4123].speaker SPEAKER_20
transcript.pyannote[4123].start 27905.07096875
transcript.pyannote[4123].end 27909.50909375
transcript.pyannote[4124].speaker SPEAKER_16
transcript.pyannote[4124].start 27909.93096875
transcript.pyannote[4124].end 27911.51721875
transcript.pyannote[4125].speaker SPEAKER_16
transcript.pyannote[4125].start 27911.83784375
transcript.pyannote[4125].end 27913.06971875
transcript.pyannote[4126].speaker SPEAKER_16
transcript.pyannote[4126].start 27913.20471875
transcript.pyannote[4126].end 27914.33534375
transcript.pyannote[4127].speaker SPEAKER_16
transcript.pyannote[4127].start 27915.07784375
transcript.pyannote[4127].end 27915.92159375
transcript.pyannote[4128].speaker SPEAKER_16
transcript.pyannote[4128].start 27916.25909375
transcript.pyannote[4128].end 27917.08596875
transcript.pyannote[4129].speaker SPEAKER_16
transcript.pyannote[4129].start 27917.30534375
transcript.pyannote[4129].end 27919.00971875
transcript.pyannote[4130].speaker SPEAKER_16
transcript.pyannote[4130].start 27919.22909375
transcript.pyannote[4130].end 27920.32596875
transcript.pyannote[4131].speaker SPEAKER_16
transcript.pyannote[4131].start 27920.95034375
transcript.pyannote[4131].end 27922.06409375
transcript.pyannote[4132].speaker SPEAKER_16
transcript.pyannote[4132].start 27922.33409375
transcript.pyannote[4132].end 27923.48159375
transcript.pyannote[4133].speaker SPEAKER_16
transcript.pyannote[4133].start 27923.78534375
transcript.pyannote[4133].end 27923.80221875
transcript.pyannote[4134].speaker SPEAKER_20
transcript.pyannote[4134].start 27923.80221875
transcript.pyannote[4134].end 27925.25346875
transcript.pyannote[4135].speaker SPEAKER_20
transcript.pyannote[4135].start 27925.75971875
transcript.pyannote[4135].end 27926.73846875
transcript.pyannote[4136].speaker SPEAKER_20
transcript.pyannote[4136].start 27927.07596875
transcript.pyannote[4136].end 27927.58221875
transcript.pyannote[4137].speaker SPEAKER_20
transcript.pyannote[4137].start 27928.74659375
transcript.pyannote[4137].end 27931.88534375
transcript.pyannote[4138].speaker SPEAKER_20
transcript.pyannote[4138].start 27932.62784375
transcript.pyannote[4138].end 27939.27659375
transcript.pyannote[4139].speaker SPEAKER_20
transcript.pyannote[4139].start 27939.61409375
transcript.pyannote[4139].end 27942.06096875
transcript.pyannote[4140].speaker SPEAKER_20
transcript.pyannote[4140].start 27942.55034375
transcript.pyannote[4140].end 27946.38096875
transcript.pyannote[4141].speaker SPEAKER_06
transcript.pyannote[4141].start 27946.54971875
transcript.pyannote[4141].end 27946.58346875
transcript.pyannote[4142].speaker SPEAKER_20
transcript.pyannote[4142].start 27946.58346875
transcript.pyannote[4142].end 27946.97159375
transcript.pyannote[4143].speaker SPEAKER_06
transcript.pyannote[4143].start 27946.78596875
transcript.pyannote[4143].end 27947.03909375
transcript.pyannote[4144].speaker SPEAKER_20
transcript.pyannote[4144].start 27947.03909375
transcript.pyannote[4144].end 27947.32596875
transcript.pyannote[4145].speaker SPEAKER_06
transcript.pyannote[4145].start 27947.32596875
transcript.pyannote[4145].end 27947.39346875
transcript.pyannote[4146].speaker SPEAKER_20
transcript.pyannote[4146].start 27947.39346875
transcript.pyannote[4146].end 27947.41034375
transcript.pyannote[4147].speaker SPEAKER_06
transcript.pyannote[4147].start 27947.41034375
transcript.pyannote[4147].end 27947.95034375
transcript.pyannote[4148].speaker SPEAKER_20
transcript.pyannote[4148].start 27948.70971875
transcript.pyannote[4148].end 27948.94596875
transcript.pyannote[4149].speaker SPEAKER_20
transcript.pyannote[4149].start 27949.04721875
transcript.pyannote[4149].end 27952.01721875
transcript.pyannote[4150].speaker SPEAKER_20
transcript.pyannote[4150].start 27952.30409375
transcript.pyannote[4150].end 27960.03284375
transcript.pyannote[4151].speaker SPEAKER_20
transcript.pyannote[4151].start 27960.06659375
transcript.pyannote[4151].end 27961.51784375
transcript.pyannote[4152].speaker SPEAKER_20
transcript.pyannote[4152].start 27961.97346875
transcript.pyannote[4152].end 27963.40784375
transcript.pyannote[4153].speaker SPEAKER_16
transcript.pyannote[4153].start 27962.71596875
transcript.pyannote[4153].end 27967.37346875
transcript.pyannote[4154].speaker SPEAKER_20
transcript.pyannote[4154].start 27964.01534375
transcript.pyannote[4154].end 27973.65096875
transcript.pyannote[4155].speaker SPEAKER_20
transcript.pyannote[4155].start 27974.17409375
transcript.pyannote[4155].end 27978.40971875
transcript.pyannote[4156].speaker SPEAKER_20
transcript.pyannote[4156].start 27979.00034375
transcript.pyannote[4156].end 27982.30784375
transcript.pyannote[4157].speaker SPEAKER_20
transcript.pyannote[4157].start 27982.78034375
transcript.pyannote[4157].end 27983.75909375
transcript.pyannote[4158].speaker SPEAKER_20
transcript.pyannote[4158].start 27984.09659375
transcript.pyannote[4158].end 27985.56471875
transcript.pyannote[4159].speaker SPEAKER_16
transcript.pyannote[4159].start 27985.91909375
transcript.pyannote[4159].end 27990.81284375
transcript.pyannote[4160].speaker SPEAKER_16
transcript.pyannote[4160].start 27990.98159375
transcript.pyannote[4160].end 27991.01534375
transcript.pyannote[4161].speaker SPEAKER_20
transcript.pyannote[4161].start 27991.01534375
transcript.pyannote[4161].end 27997.84971875
transcript.pyannote[4162].speaker SPEAKER_20
transcript.pyannote[4162].start 27998.37284375
transcript.pyannote[4162].end 27998.81159375
transcript.pyannote[4163].speaker SPEAKER_06
transcript.pyannote[4163].start 27998.81159375
transcript.pyannote[4163].end 28008.71721875
transcript.pyannote[4164].speaker SPEAKER_06
transcript.pyannote[4164].start 28008.90284375
transcript.pyannote[4164].end 28013.61096875
transcript.pyannote[4165].speaker SPEAKER_20
transcript.pyannote[4165].start 28014.30284375
transcript.pyannote[4165].end 28017.20534375
transcript.pyannote[4166].speaker SPEAKER_20
transcript.pyannote[4166].start 28017.49221875
transcript.pyannote[4166].end 28018.09971875
transcript.pyannote[4167].speaker SPEAKER_20
transcript.pyannote[4167].start 28018.63971875
transcript.pyannote[4167].end 28024.98471875
transcript.pyannote[4168].speaker SPEAKER_20
transcript.pyannote[4168].start 28025.76096875
transcript.pyannote[4168].end 28029.47346875
transcript.pyannote[4169].speaker SPEAKER_20
transcript.pyannote[4169].start 28030.08096875
transcript.pyannote[4169].end 28033.52346875
transcript.pyannote[4170].speaker SPEAKER_20
transcript.pyannote[4170].start 28034.28284375
transcript.pyannote[4170].end 28035.98721875
transcript.pyannote[4171].speaker SPEAKER_20
transcript.pyannote[4171].start 28036.78034375
transcript.pyannote[4171].end 28038.78846875
transcript.pyannote[4172].speaker SPEAKER_20
transcript.pyannote[4172].start 28039.12596875
transcript.pyannote[4172].end 28040.18909375
transcript.pyannote[4173].speaker SPEAKER_20
transcript.pyannote[4173].start 28040.59409375
transcript.pyannote[4173].end 28046.02784375
transcript.pyannote[4174].speaker SPEAKER_00
transcript.pyannote[4174].start 28040.83034375
transcript.pyannote[4174].end 28041.03284375
transcript.pyannote[4175].speaker SPEAKER_20
transcript.pyannote[4175].start 28046.50034375
transcript.pyannote[4175].end 28066.05846875
transcript.pyannote[4176].speaker SPEAKER_20
transcript.pyannote[4176].start 28067.10471875
transcript.pyannote[4176].end 28067.47596875
transcript.pyannote[4177].speaker SPEAKER_25
transcript.pyannote[4177].start 28067.57721875
transcript.pyannote[4177].end 28067.62784375
transcript.pyannote[4178].speaker SPEAKER_20
transcript.pyannote[4178].start 28067.83034375
transcript.pyannote[4178].end 28074.95159375
transcript.pyannote[4179].speaker SPEAKER_20
transcript.pyannote[4179].start 28075.22159375
transcript.pyannote[4179].end 28077.09471875
transcript.pyannote[4180].speaker SPEAKER_20
transcript.pyannote[4180].start 28077.48284375
transcript.pyannote[4180].end 28078.59659375
transcript.pyannote[4181].speaker SPEAKER_20
transcript.pyannote[4181].start 28079.08596875
transcript.pyannote[4181].end 28091.08409375
transcript.pyannote[4182].speaker SPEAKER_20
transcript.pyannote[4182].start 28091.65784375
transcript.pyannote[4182].end 28092.50159375
transcript.pyannote[4183].speaker SPEAKER_20
transcript.pyannote[4183].start 28093.02471875
transcript.pyannote[4183].end 28094.42534375
transcript.pyannote[4184].speaker SPEAKER_20
transcript.pyannote[4184].start 28095.04971875
transcript.pyannote[4184].end 28107.55409375
transcript.pyannote[4185].speaker SPEAKER_20
transcript.pyannote[4185].start 28108.46534375
transcript.pyannote[4185].end 28113.83159375
transcript.pyannote[4186].speaker SPEAKER_20
transcript.pyannote[4186].start 28114.16909375
transcript.pyannote[4186].end 28118.35409375
transcript.pyannote[4187].speaker SPEAKER_20
transcript.pyannote[4187].start 28119.09659375
transcript.pyannote[4187].end 28121.30721875
transcript.pyannote[4188].speaker SPEAKER_20
transcript.pyannote[4188].start 28121.77971875
transcript.pyannote[4188].end 28123.93971875
transcript.pyannote[4189].speaker SPEAKER_20
transcript.pyannote[4189].start 28124.34471875
transcript.pyannote[4189].end 28127.73659375
transcript.pyannote[4190].speaker SPEAKER_20
transcript.pyannote[4190].start 28128.61409375
transcript.pyannote[4190].end 28129.39034375
transcript.pyannote[4191].speaker SPEAKER_20
transcript.pyannote[4191].start 28129.42409375
transcript.pyannote[4191].end 28134.13221875
transcript.pyannote[4192].speaker SPEAKER_20
transcript.pyannote[4192].start 28134.99284375
transcript.pyannote[4192].end 28135.34721875
transcript.pyannote[4193].speaker SPEAKER_20
transcript.pyannote[4193].start 28136.05596875
transcript.pyannote[4193].end 28137.50721875
transcript.pyannote[4194].speaker SPEAKER_20
transcript.pyannote[4194].start 28138.01346875
transcript.pyannote[4194].end 28138.50284375
transcript.pyannote[4195].speaker SPEAKER_20
transcript.pyannote[4195].start 28138.92471875
transcript.pyannote[4195].end 28141.57409375
transcript.pyannote[4196].speaker SPEAKER_20
transcript.pyannote[4196].start 28142.19846875
transcript.pyannote[4196].end 28143.26159375
transcript.pyannote[4197].speaker SPEAKER_14
transcript.pyannote[4197].start 28143.26159375
transcript.pyannote[4197].end 28143.27846875
transcript.pyannote[4198].speaker SPEAKER_20
transcript.pyannote[4198].start 28143.80159375
transcript.pyannote[4198].end 28144.96596875
transcript.pyannote[4199].speaker SPEAKER_16
transcript.pyannote[4199].start 28144.96596875
transcript.pyannote[4199].end 28145.60721875
transcript.pyannote[4200].speaker SPEAKER_16
transcript.pyannote[4200].start 28146.04596875
transcript.pyannote[4200].end 28166.59971875
transcript.pyannote[4201].speaker SPEAKER_20
transcript.pyannote[4201].start 28159.14096875
transcript.pyannote[4201].end 28161.43596875
transcript.pyannote[4202].speaker SPEAKER_20
transcript.pyannote[4202].start 28162.24596875
transcript.pyannote[4202].end 28164.03471875
transcript.pyannote[4203].speaker SPEAKER_16
transcript.pyannote[4203].start 28166.65034375
transcript.pyannote[4203].end 28168.48971875
transcript.pyannote[4204].speaker SPEAKER_20
transcript.pyannote[4204].start 28167.76409375
transcript.pyannote[4204].end 28173.29909375
transcript.pyannote[4205].speaker SPEAKER_16
transcript.pyannote[4205].start 28170.43034375
transcript.pyannote[4205].end 28180.11659375
transcript.pyannote[4206].speaker SPEAKER_16
transcript.pyannote[4206].start 28180.55534375
transcript.pyannote[4206].end 28184.36909375
transcript.pyannote[4207].speaker SPEAKER_16
transcript.pyannote[4207].start 28184.68971875
transcript.pyannote[4207].end 28186.73159375
transcript.pyannote[4208].speaker SPEAKER_20
transcript.pyannote[4208].start 28184.75721875
transcript.pyannote[4208].end 28186.51221875
transcript.pyannote[4209].speaker SPEAKER_20
transcript.pyannote[4209].start 28186.73159375
transcript.pyannote[4209].end 28186.90034375
transcript.pyannote[4210].speaker SPEAKER_16
transcript.pyannote[4210].start 28186.90034375
transcript.pyannote[4210].end 28187.08596875
transcript.pyannote[4211].speaker SPEAKER_16
transcript.pyannote[4211].start 28187.22096875
transcript.pyannote[4211].end 28187.45721875
transcript.pyannote[4212].speaker SPEAKER_20
transcript.pyannote[4212].start 28187.72721875
transcript.pyannote[4212].end 28191.84471875
transcript.pyannote[4213].speaker SPEAKER_16
transcript.pyannote[4213].start 28192.11471875
transcript.pyannote[4213].end 28193.24534375
transcript.pyannote[4214].speaker SPEAKER_20
transcript.pyannote[4214].start 28192.68846875
transcript.pyannote[4214].end 28198.61159375
transcript.pyannote[4215].speaker SPEAKER_20
transcript.pyannote[4215].start 28199.20221875
transcript.pyannote[4215].end 28200.34971875
transcript.pyannote[4216].speaker SPEAKER_20
transcript.pyannote[4216].start 28200.60284375
transcript.pyannote[4216].end 28203.16784375
transcript.pyannote[4217].speaker SPEAKER_20
transcript.pyannote[4217].start 28203.92721875
transcript.pyannote[4217].end 28204.51784375
transcript.pyannote[4218].speaker SPEAKER_20
transcript.pyannote[4218].start 28205.71596875
transcript.pyannote[4218].end 28211.79096875
transcript.pyannote[4219].speaker SPEAKER_20
transcript.pyannote[4219].start 28212.87096875
transcript.pyannote[4219].end 28216.02659375
transcript.pyannote[4220].speaker SPEAKER_20
transcript.pyannote[4220].start 28216.54971875
transcript.pyannote[4220].end 28217.84909375
transcript.pyannote[4221].speaker SPEAKER_20
transcript.pyannote[4221].start 28218.23721875
transcript.pyannote[4221].end 28219.67159375
transcript.pyannote[4222].speaker SPEAKER_20
transcript.pyannote[4222].start 28220.54909375
transcript.pyannote[4222].end 28220.88659375
transcript.pyannote[4223].speaker SPEAKER_20
transcript.pyannote[4223].start 28221.10596875
transcript.pyannote[4223].end 28237.96409375
transcript.pyannote[4224].speaker SPEAKER_16
transcript.pyannote[4224].start 28238.20034375
transcript.pyannote[4224].end 28242.33471875
transcript.pyannote[4225].speaker SPEAKER_20
transcript.pyannote[4225].start 28241.05221875
transcript.pyannote[4225].end 28246.48596875
transcript.pyannote[4226].speaker SPEAKER_20
transcript.pyannote[4226].start 28246.72221875
transcript.pyannote[4226].end 28249.43909375
transcript.pyannote[4227].speaker SPEAKER_20
transcript.pyannote[4227].start 28249.77659375
transcript.pyannote[4227].end 28253.47221875
transcript.pyannote[4228].speaker SPEAKER_16
transcript.pyannote[4228].start 28253.84346875
transcript.pyannote[4228].end 28255.96971875
transcript.pyannote[4229].speaker SPEAKER_16
transcript.pyannote[4229].start 28256.29034375
transcript.pyannote[4229].end 28258.55159375
transcript.pyannote[4230].speaker SPEAKER_16
transcript.pyannote[4230].start 28259.14221875
transcript.pyannote[4230].end 28260.03659375
transcript.pyannote[4231].speaker SPEAKER_16
transcript.pyannote[4231].start 28260.07034375
transcript.pyannote[4231].end 28262.04471875
transcript.pyannote[4232].speaker SPEAKER_16
transcript.pyannote[4232].start 28262.16284375
transcript.pyannote[4232].end 28266.51659375
transcript.pyannote[4233].speaker SPEAKER_20
transcript.pyannote[4233].start 28266.22971875
transcript.pyannote[4233].end 28272.38909375
transcript.pyannote[4234].speaker SPEAKER_20
transcript.pyannote[4234].start 28272.65909375
transcript.pyannote[4234].end 28273.99221875
transcript.pyannote[4235].speaker SPEAKER_20
transcript.pyannote[4235].start 28274.54909375
transcript.pyannote[4235].end 28277.75534375
transcript.pyannote[4236].speaker SPEAKER_16
transcript.pyannote[4236].start 28276.79346875
transcript.pyannote[4236].end 28277.29971875
transcript.pyannote[4237].speaker SPEAKER_16
transcript.pyannote[4237].start 28277.75534375
transcript.pyannote[4237].end 28277.87346875
transcript.pyannote[4238].speaker SPEAKER_20
transcript.pyannote[4238].start 28277.87346875
transcript.pyannote[4238].end 28278.97034375
transcript.pyannote[4239].speaker SPEAKER_16
transcript.pyannote[4239].start 28278.53159375
transcript.pyannote[4239].end 28279.17284375
transcript.pyannote[4240].speaker SPEAKER_16
transcript.pyannote[4240].start 28279.54409375
transcript.pyannote[4240].end 28283.94846875
transcript.pyannote[4241].speaker SPEAKER_20
transcript.pyannote[4241].start 28279.57784375
transcript.pyannote[4241].end 28281.24846875
transcript.pyannote[4242].speaker SPEAKER_20
transcript.pyannote[4242].start 28282.76721875
transcript.pyannote[4242].end 28286.02409375
transcript.pyannote[4243].speaker SPEAKER_20
transcript.pyannote[4243].start 28286.73284375
transcript.pyannote[4243].end 28288.47096875
transcript.pyannote[4244].speaker SPEAKER_16
transcript.pyannote[4244].start 28288.77471875
transcript.pyannote[4244].end 28290.81659375
transcript.pyannote[4245].speaker SPEAKER_20
transcript.pyannote[4245].start 28290.81659375
transcript.pyannote[4245].end 28297.95471875
transcript.pyannote[4246].speaker SPEAKER_16
transcript.pyannote[4246].start 28298.17409375
transcript.pyannote[4246].end 28299.94596875
transcript.pyannote[4247].speaker SPEAKER_16
transcript.pyannote[4247].start 28300.41846875
transcript.pyannote[4247].end 28305.83534375
transcript.pyannote[4248].speaker SPEAKER_20
transcript.pyannote[4248].start 28300.43534375
transcript.pyannote[4248].end 28301.97096875
transcript.pyannote[4249].speaker SPEAKER_15
transcript.pyannote[4249].start 28301.97096875
transcript.pyannote[4249].end 28302.78096875
transcript.pyannote[4250].speaker SPEAKER_20
transcript.pyannote[4250].start 28302.78096875
transcript.pyannote[4250].end 28302.81471875
transcript.pyannote[4251].speaker SPEAKER_07
transcript.pyannote[4251].start 28312.19721875
transcript.pyannote[4251].end 28317.27659375
transcript.pyannote[4252].speaker SPEAKER_07
transcript.pyannote[4252].start 28318.94721875
transcript.pyannote[4252].end 28328.00909375
transcript.pyannote[4253].speaker SPEAKER_07
transcript.pyannote[4253].start 28332.21096875
transcript.pyannote[4253].end 28339.41659375
transcript.pyannote[4254].speaker SPEAKER_07
transcript.pyannote[4254].start 28339.73721875
transcript.pyannote[4254].end 28342.84221875
transcript.pyannote[4255].speaker SPEAKER_00
transcript.pyannote[4255].start 28341.45846875
transcript.pyannote[4255].end 28341.47534375
transcript.pyannote[4256].speaker SPEAKER_07
transcript.pyannote[4256].start 28343.38221875
transcript.pyannote[4256].end 28352.42721875
transcript.pyannote[4257].speaker SPEAKER_07
transcript.pyannote[4257].start 28352.81534375
transcript.pyannote[4257].end 28359.58221875
transcript.pyannote[4258].speaker SPEAKER_07
transcript.pyannote[4258].start 28360.76346875
transcript.pyannote[4258].end 28363.81784375
transcript.pyannote[4259].speaker SPEAKER_07
transcript.pyannote[4259].start 28363.98659375
transcript.pyannote[4259].end 28367.66534375
transcript.pyannote[4260].speaker SPEAKER_31
transcript.pyannote[4260].start 28368.52596875
transcript.pyannote[4260].end 28376.15346875
transcript.pyannote[4261].speaker SPEAKER_31
transcript.pyannote[4261].start 28376.17034375
transcript.pyannote[4261].end 28377.80721875
transcript.pyannote[4262].speaker SPEAKER_07
transcript.pyannote[4262].start 28378.38096875
transcript.pyannote[4262].end 28379.69721875
transcript.pyannote[4263].speaker SPEAKER_07
transcript.pyannote[4263].start 28379.96721875
transcript.pyannote[4263].end 28381.46909375
transcript.pyannote[4264].speaker SPEAKER_07
transcript.pyannote[4264].start 28381.84034375
transcript.pyannote[4264].end 28384.37159375
transcript.pyannote[4265].speaker SPEAKER_31
transcript.pyannote[4265].start 28385.24909375
transcript.pyannote[4265].end 28391.10471875
transcript.pyannote[4266].speaker SPEAKER_31
transcript.pyannote[4266].start 28391.74596875
transcript.pyannote[4266].end 28394.14221875
transcript.pyannote[4267].speaker SPEAKER_07
transcript.pyannote[4267].start 28394.95221875
transcript.pyannote[4267].end 28396.70721875
transcript.pyannote[4268].speaker SPEAKER_07
transcript.pyannote[4268].start 28396.85909375
transcript.pyannote[4268].end 28399.01909375
transcript.pyannote[4269].speaker SPEAKER_07
transcript.pyannote[4269].start 28399.64346875
transcript.pyannote[4269].end 28410.94971875
transcript.whisperx[0].start 1790.495
transcript.whisperx[0].end 1806.751
transcript.whisperx[0].text 卓院長各位早安辛苦了等這個最後一場政黨總諮詢今天再咬咬牙忍耐一下我們今天最後一場政黨總諮詢報告宴會我們現在繼續開會對行政院院長施政方針及施政報告繼續諮詢在進行諮詢之前我們先請秘書長報告部會首長請假請行
transcript.whisperx[1].start 1811.994
transcript.whisperx[1].end 1814.115
transcript.whisperx[1].text 好 謝謝 我們現在進行最後一場政黨諮詢我們首先請蘇清泉委員諮詢
transcript.whisperx[2].start 1842.685
transcript.whisperx[2].end 1870.103
transcript.whisperx[2].text 范雲委員請準備謝謝謝謝主席我請我們院長還有我們農業部長還有交通部長請卓院長農業部交通部備詢
transcript.whisperx[3].start 1882.828
transcript.whisperx[3].end 1897.319
transcript.whisperx[3].text 蘇委員好院長辛苦了大家都辛苦了我丟這張都要丟六次六次政黨執行我們丟的時間比過去我這個版本已經換了N次了
transcript.whisperx[4].start 1898.888
transcript.whisperx[4].end 1919.515
transcript.whisperx[4].text 好 這十來天真的是大家都辛苦了是 一定 你也去屏東 去哪裡IT的一個中小企業 一個漁業我們農業部長他也跑了好幾個地方好 我第一個問題先問我們這個對等關稅 玩到現在
transcript.whisperx[5].start 1927.475
transcript.whisperx[5].end 1950.957
transcript.whisperx[5].text 這就是在玩美債我們也嚇了一跳我想我們行政單位要跟美國談判應該隨時要掌握因為美國這邊多來多去我就覺得川普總統真的是在我們醫生看起來真的是有點問題邱部長等一下可以解釋解釋
transcript.whisperx[6].start 1951.988
transcript.whisperx[6].end 1958.273
transcript.whisperx[6].text 他還可以再說嗎還可以再說嗎說半導體他還是要扣好我先請問院長
transcript.whisperx[7].start 1960.802
transcript.whisperx[7].end 1984.26
transcript.whisperx[7].text 我們編了這個八百八十億,裡面農業的部分是一百八十億嘛我一直在問陳部長說,你這一百八十億到底是要做什麼?因為昨天還有市路費的人跟我說,省南匯的人跟我說說因為里巡都差不多十%上下而已啊,如果我扣十%要怎麼判斷嘛?你賺到多少?有可能二十幾%?
transcript.whisperx[8].start 1986.67
transcript.whisperx[8].end 1993.732
transcript.whisperx[8].text 他們就不要買了,你這個錢是要來補他關水的車子,這樣八八就要補什麼,兩三下就補完了,你三個月要怎麼辦,你賣你怎麼辦。
transcript.whisperx[9].start 2004.351
transcript.whisperx[9].end 2030.958
transcript.whisperx[9].text 這個880億對產業的支持方案我一直強調是用產業受困面的需求我們來編但我想我們先短期面對目前的問題我們先有一個讓整個產業調適期我們一定要幫產業經過這個調適期調適期有兩個一方面是我們跟美方的談判會持續的進行當然我要爭取最有利於我方我國的一些利益
transcript.whisperx[10].start 2031.564
transcript.whisperx[10].end 2051.705
transcript.whisperx[10].text 第二個談判的內容到底會對產業形成怎麼樣的一個實際上在經營面的損害我們還沒有確定還沒有辦法定案但是我們先把初期這個衝擊把它算出來所以我們從低的推估高的推估到現在過去32%的最高推估我們都進行的試算
transcript.whisperx[11].start 2052.725
transcript.whisperx[11].end 2063.338
transcript.whisperx[11].text 我們希望它當然越低越好那雙方經過調試期做這個稅率上面能夠有一些分擔那政府做一些協助讓產業能夠安心的去經營
transcript.whisperx[12].start 2064.915
transcript.whisperx[12].end 2073.522
transcript.whisperx[12].text 我聽農業部的181,要補助他們的理事,要補助關稅,要叫他們更新設備,要叫他們做冷鏈,你是什麼?你是一百八十還是美金?我跟議員報告,農業部編的一百八十在裡面,
transcript.whisperx[13].start 2085.806
transcript.whisperx[13].end 2103.554
transcript.whisperx[13].text 不是去補他們的關稅 只補他們的關稅補不了所以我們要趁這個機會 在短期之內我們是用金融去支持他們的資金壓力第二個部分就是說 他們外銷的時候的關稅通常是進口商跟出口商會有一個討論我們針對這個部分 我們做一些外銷的獎勵讓這個訂單能夠持續走
transcript.whisperx[14].start 2109.736
transcript.whisperx[14].end 2119.564
transcript.whisperx[14].text 然後最後的時候是希望說整個的產業的競爭力能夠趁這個機會能夠轉型以後那我們就有能力去面對未來的一些關稅的挑戰
transcript.whisperx[15].start 2125.019
transcript.whisperx[15].end 2146.594
transcript.whisperx[15].text 鱸魚等等,藍輝都是大招,院長你也有去所以我們非常關心,二線都一直在反映所以我是覺得你這個第一波的800多億是第一波的那你有可能一直加,就好像那次COVID-19,2100億一直加,加了4次
transcript.whisperx[16].start 2148.584
transcript.whisperx[16].end 2171.039
transcript.whisperx[16].text 所以這個可能性是有的嘛委員我們當然希望經過調適以後產業自己能夠轉型升級多開發不同的市場那也許這樣下來我們更多元化的來看國際市場的時候我們的衝擊會降低那以後的生態會改變那一天毛豆業者說現在大陸消費美國的毛豆有七成我們有三成現在大陸整個關水關所以我們的機會越多他就賺不到10%你又要賺10%
transcript.whisperx[17].start 2178.919
transcript.whisperx[17].end 2207.439
transcript.whisperx[17].text 你多少也是賺不到對不對 部長還有院長 這個重點來 部長請我跟你們報告 毛豆本身這個10%我跟他說10%不只是全部由我們的出口商來吸收所以相對的用這樣的 我們討論過這樣的一個利率本身我們如果能夠強攻中國本來在美國的這個市場讓量擴大的時候 其實它的利潤是會更大的
transcript.whisperx[18].start 2208.223
transcript.whisperx[18].end 2232.2
transcript.whisperx[18].text 量大利潤也增大對你的理神都這一世了你這樣講有點毛病我們的毛豆本身是走高端市場的那高端市場的利潤會遠大於我們現在的關稅現在想毛豆那個機器一台都四五百萬五六百萬當然人命會不會有補助啦你知道都是老闆跟那個合夥人自己在開三更半夜因為太陽一出來
transcript.whisperx[19].start 2233.7
transcript.whisperx[19].end 2252.723
transcript.whisperx[19].text 漏水沒去,毛豆會變苦,所以都在那裡太陽出來之前,他們就燒,都半夜在燒毛豆你知道嗎,都是老闆自己在開車,開那個,挖豆仔雞而且挖到石石下去,肚骨黏下去,我也被叫成這樣,所以齁
transcript.whisperx[20].start 2253.902
transcript.whisperx[20].end 2273.659
transcript.whisperx[20].text 他們是很辛苦的,所以那些外勞的部分、移工的部分,這個都要通盤考慮啦,不然的話,真的,你要給他做多,他也沒辦法,好不好,這很重要,我們面面...報告委員,這個部長是經常到各地,他非常了解農漁民的作業的這個狀況,
transcript.whisperx[21].start 2274.68
transcript.whisperx[21].end 2295.034
transcript.whisperx[21].text 我想一般的國人也非常清楚農業民在生產過程當中的辛苦、危險所以我們一定用農漁優先的角度是政府永遠不變的定律我們用這個方向來保護農業民應該有的權利陳副長很認真,真的,要跟他加油謝謝這個委員的支持,副長確實是...那個義和包啊
transcript.whisperx[22].start 2298.939
transcript.whisperx[22].end 2312.561
transcript.whisperx[22].text 盲國啊 灘災 他們很快的速度就公告農民非常感謝 大家一起來啦這個沒有分什麼藍綠啦好 謝謝 謝謝神父長那接著我們問交通的編長 我要跟你講 我們屏東縣這二十幾年以來 我們的交通
transcript.whisperx[23].start 2329.062
transcript.whisperx[23].end 2352.384
transcript.whisperx[23].text 真的有氣的,剛好二高,國道三號,這協商橋第一段通到零落,第二段通到那邊第三段通到大鵬灣這是2006年,現在是2024再來我們的八八快速路,2000年就完工了
transcript.whisperx[24].start 2354.571
transcript.whisperx[24].end 2378.987
transcript.whisperx[24].text 我們陳部長,前幾天我們又去興村考察,他還講了一大堆,我告訴你,我給你review起來,整個屏東關二十幾年以來,公路的交通建設,零!零!好,下一張,這是國道10號延伸到新威大橋,
transcript.whisperx[25].start 2380.726
transcript.whisperx[25].end 2400.812
transcript.whisperx[25].text 這是我在八戒日有一個孫子,那個孫子的姓名叫做江怡花那個時候在營建署定案的2014年,過了經過反平、經過三候那個時候親民黨也在反對等等,說反平有問題好了,到今年年初
transcript.whisperx[26].start 2402.621
transcript.whisperx[26].end 2429.94
transcript.whisperx[26].text 動工 部長去動工的 院長我不知道你有沒有去過因為連動工喔我有去的那一次連動工都因為颱風沿了好幾次 對不對那這一條路十年前就頂了啦十年了都要打斷崗所以交通建設沒那麼簡單啦一定要經過繁瑣的評估又評估然後又...好了那現在那一條已經
transcript.whisperx[27].start 2431.069
transcript.whisperx[27].end 2457.945
transcript.whisperx[27].text 已經動工了不過那一條大部分都在高雄市只有尾端到新威大橋接到高速的北端然後我們西西方有旅遊、農業、交通還有病人的輸送等等好,那現在屏東有三個第一個就是屏北的二塊那個院長你說要明年要動工115年我們就拼115年動工對對對,跟你說的
transcript.whisperx[28].start 2459.927
transcript.whisperx[28].end 2488.177
transcript.whisperx[28].text 畢高鐵左營站到仁甫到大樹到九州鄉然後併入國道3號這個院長你是很concern的希望這一條要像你講的如期明年動工我會盯著我會天天盯著你交通部一起努力我聽你先講一下報告委員這一條院長有指示明年底一定要動工那我們現在正在趕應該也是做得到明年的10月好
transcript.whisperx[29].start 2489.054
transcript.whisperx[29].end 2512.825
transcript.whisperx[29].text 再來,這個是屏南快速路這一條部長我聽了講了不下十次啦院長也講了好多次那這一條是從八八街接到恆春北關要開前往的這條目前2032年才能通車啦一定,跟我剛剛說斷
transcript.whisperx[30].start 2515.405
transcript.whisperx[30].end 2534.23
transcript.whisperx[30].text 交通部送來的計畫應該比這個樂觀多但是先期的作業現在還在進行是不是部長了解一下我們希望119年可以得到院的核定119年如果我們整個環評整個計畫做好之後院核定之後我們7年可以完工119年2030對2030那那個高架的下面應該用自行車道
transcript.whisperx[31].start 2542.638
transcript.whisperx[31].end 2551.611
transcript.whisperx[31].text 我以為有建議過,我覺得這個是很重要的建議,因為包含我們的高屏二塊,下面也用了包含人行道、包含自行車道,我們都有加下去
transcript.whisperx[32].start 2552.455
transcript.whisperx[32].end 2573.615
transcript.whisperx[32].text 因為現在單車組越來越多也是開一個管道因為這一條有外環我看徵收應該也不是很困難所以這一條應該要好好的加速的來好不好三個禮拜已經在院核定了它的可行性評估
transcript.whisperx[33].start 2574.295
transcript.whisperx[33].end 2602.174
transcript.whisperx[33].text 目前部裡面會再做中規以及後續的這個環評當然希望照剛剛部長所說的2030年能夠來完成這個是我們先進的目標那個那個關稅那個我們沒辦法啦那個世襲萬變喔這比較實在啦我們已經已經核心性評估已經核定了一定比較實在啦貝生啦扶國立民比較重要來 接下來 繼續那這個是高鐵啦高鐵我在六塊處也跟
transcript.whisperx[34].start 2603.015
transcript.whisperx[34].end 2604.457
transcript.whisperx[34].text 因為最後定案是走高雄,這是院長
transcript.whisperx[35].start 2624.022
transcript.whisperx[35].end 2641.092
transcript.whisperx[35].text 你拍板的嘛 走高雄火車站那個方案嘛回到原點嘛 從鳳山上來就變高架嘛鳳山之前是用地下嘛因為我在鄉中 所以我對這個很有感情那個高雄牆頭對我來說是美好的回憶好 那這個到六塊樹要2039年要走四年 那邊比較低的我們不夠
transcript.whisperx[36].start 2653.376
transcript.whisperx[36].end 2677.566
transcript.whisperx[36].text 因為它一定的程序它從決定高雄方案之後交通部現在已經成了一個工作的平台再來就要進行一個綜合的規劃再來還有二階的環評才會送到院裡面把整個完整的計畫來核定這要有一定的時間那因為這麼大的工程先前的準備工作還有這個程序都必須要嚴謹也必須要完成
transcript.whisperx[37].start 2679.215
transcript.whisperx[37].end 2698.704
transcript.whisperx[37].text 未來完成之後對大高雄地區、大南部地區包括屏東,應該是非常好的一個未來生活圈的一場事實上我們屏東的立委、民意代表跟屏東的鄉親不是只有要交六塊錢而已我們隔壁站過來大概1.4公里我們那條高鐵站到底要幹什麼
transcript.whisperx[38].start 2701.482
transcript.whisperx[38].end 2713.446
transcript.whisperx[38].text 我們希望能夠遵守嘛,保定你也說軌道是開啟的嘛,要接過去嘛我要跟院長報告就是說,2039年到六塊處,要到潮州要到2050年還是2060年,我們都死了
transcript.whisperx[39].start 2723.729
transcript.whisperx[39].end 2733.365
transcript.whisperx[39].text 到六塊座之後的延伸的想法現在交通部部長他也有一些準備的工作在準備那這個一定要進一步去規劃再進行
transcript.whisperx[40].start 2735.188
transcript.whisperx[40].end 2763.296
transcript.whisperx[40].text 首先跟委員報告您剛剛在關心的2039年這件事除了交通部的鐵道局現在有一個工作平台大家正在協商要加速之外我們陳金德政委在2月份也有開過會議針對這個延伸屏東案要怎麼樣加速所以這個時機我們希望在2039年之前可以往前再拉這個部分我們正在努力恆春觀光鐵道你這次去恆春部長你有講
transcript.whisperx[41].start 2764.383
transcript.whisperx[41].end 2777.973
transcript.whisperx[41].text 我要給你漏氣一下,2016年林全做保定,做管理,做議定,他說2016年要動工,2025年要完工,今天剛好2025年,結果我前陣子又聽蘇貞昌院長說,那個案子不是出銷嗎?我現在又聽陳部長,你還在那裡說,你還在鄉村說,我們所有的鄉親都聽到了,現在這到底是什麼?
transcript.whisperx[42].start 2793.861
transcript.whisperx[42].end 2815.29
transcript.whisperx[42].text 報告委員林全院長當時答應後來因為一些行政上面的討論就稍微有停頓那我們現在又重新再開始來討論這個案子所以這個案子我們會繼續往前的推動這個公共鐵道從內思要到恆春是非常好但是後來評估又評估後來就完全連動都沒動所以這個
transcript.whisperx[43].start 2819.79
transcript.whisperx[43].end 2848.117
transcript.whisperx[43].text 部長你如果想要走你就要跟我請車觀光鐵道的部分不要再一次荒涼了目前我們從高雄到屏東這一段目前到仿寮這一段我們的觀光列車其實有藍皮捷二號也有環島之星正在跑那未來的延伸段的部分現在交通部正在研議我們要啟動來做這件事情因為我們恆春那邊的理由院長你可能不知道也從高雄坐海運
transcript.whisperx[44].start 2849.6
transcript.whisperx[44].end 2874.55
transcript.whisperx[44].text 這邊是新的到那個車程然後再搭車那個都失敗失敗都失敗因為不方便所以這個要好好的規劃那這個觀光鐵道是有亮點但是要不要做怎麼做要好好的規劃而且你只要宣布你就要幹啦你不要像上次臨前講一講就啪啪啪好 下一張
transcript.whisperx[45].start 2878.772
transcript.whisperx[45].end 2908.247
transcript.whisperx[45].text 今年是恆春建成150周年我看台南建成那個辦得非常好所以我們都非常期待今年2025年把恆春建成神保生建成到現在150年好好地幹一場院長你要全力支持喔可以嗎對於台灣這種文化的底氣我覺得如果各地都有一個自己的故事自己的特色每個鄉鎮每個城市都有這樣子有助於台灣整體觀光的發展
transcript.whisperx[46].start 2909.077
transcript.whisperx[46].end 2923.913
transcript.whisperx[46].text 這樣子的政策我想請交通部總觀光署一定要全力來跟地方來合作前幾天到考察的時候我們發現大鵬灣恆春半島的旅遊是下降的
transcript.whisperx[47].start 2924.693
transcript.whisperx[47].end 2953.327
transcript.whisperx[47].text 人數也下降所以這個是很血淋淋到處都在搶客人別的縣市也搶得台東也搶嘉義也搶所以沒有好好的規劃跟加重資源是嘴巴講講是沒有效的院長希望你敢講來下一張這個武力亭機場我要再提一下因為我到裡面去考察這個相片是我自己照的
transcript.whisperx[48].start 2955.27
transcript.whisperx[48].end 2981.586
transcript.whisperx[48].text 美國那個蜿蜒公司有來評估過還有縣政府的人我們到裡面去考察那武里頂機場是可以好好的規劃雖然有洛杉磅南北但是有一個東西向的陸航部的基地我們用了很大的心血那希望這個跑道長度一千八百公尺前後引道各兩百
transcript.whisperx[49].start 2983.786
transcript.whisperx[49].end 3004.131
transcript.whisperx[49].text 所以可以Z 彎流Z6500空氣的時候可以下降喔 我的研究說這樣喔所以喔 普通 一定要這個好好來整理一下要不然喔 鄉村真的要拉開 真困難我們希望大家用中央跟地方都一起來 好不好
transcript.whisperx[50].start 3005.095
transcript.whisperx[50].end 3026.739
transcript.whisperx[50].text 報告委員 這個機場因為涉及到天候還有它飛航安全的總統顧慮以及使用的人數一直在降低航班的人數在降低 所以要暫時停下來未來除了剛剛委員所提的那個方向之外是不是朝向無人航空器的方向來做推動或者是委員講的輕載型航空機來推動能夠讓軍民來合用
transcript.whisperx[51].start 3032.445
transcript.whisperx[51].end 3047.358
transcript.whisperx[51].text 美國彎流公司它亞洲的商務客機有1000架他們希望把那邊停 把那邊都維修中心跟停的地方因為現在像郭台銘的飛機都停在馬力拉
transcript.whisperx[52].start 3048.513
transcript.whisperx[52].end 3062.579
transcript.whisperx[52].text 停在馬尼拉,中正機場沒地方停,上海也沒地方停,香港也沒地方停,都停在馬尼拉,他坐在馬尼拉開過,開到松山讓他打,所以沒有地方停,這個地方是可以發展的。
transcript.whisperx[53].start 3063.68
transcript.whisperx[53].end 3090.26
transcript.whisperx[53].text 那有我們劉公司的整個一年只有給我們政府的稅金50億以上如果他們有這樣子的意願可以來跟我們接洽,那我們來協助他們好,我找他們跟你們好好的來考察考察好不好好,那部長請回我請經濟部長跟衛生部長,衛福部長請經濟部衛福部請備選
transcript.whisperx[54].start 3101.277
transcript.whisperx[54].end 3121.47
transcript.whisperx[54].text 部長好委員好你上次講的說我們台電的支出裡面很多都是石化顏料那我查了我們國際原物料還有價格在二五戰爭第一年漲得非常高第二年就開始降了
transcript.whisperx[55].start 3123.033
transcript.whisperx[55].end 3125.515
transcript.whisperx[55].text 燃料的部分不是只有石油化,還有其他的
transcript.whisperx[56].start 3148.433
transcript.whisperx[56].end 3164.172
transcript.whisperx[56].text 所以那個整個物價上漲都是表現在他的成本上面台電我跟他查了他一年的收入差不多七千多億他的支出是八千多億所以一年要虧空一千億左右是不是這樣幾乎這幾年都這樣
transcript.whisperx[57].start 3169.036
transcript.whisperx[57].end 3192.198
transcript.whisperx[57].text 我們台電的問題我想很多就是因為俄烏戰爭造成它有很多在成本上面上漲的原因但是在那段期間裡面我們所造成的虧損是由政府來希望能夠動漲這個電價不反映成本所以累積我們有那些虧損在
transcript.whisperx[58].start 3194.284
transcript.whisperx[58].end 3209.02
transcript.whisperx[58].text 是這個樣子,所以因為他的負債比較高,所以他要去借錢,我看台電今年可以理解到他負三四八億嗎?一定,2016年你看這個資料,2016年台電還有透探機,2017年還有彈,到2018年也有73億,
transcript.whisperx[59].start 3216.969
transcript.whisperx[59].end 3237.587
transcript.whisperx[59].text 日來日來到2022年,要求兩千多億台幣我去查,他真的是一年的收入差不多七千多支出要八千多億,這是事實因為收的錢電價不能去,沒辦法反映成本我想這個委員你也很清楚我的收入就是只有那一年,沒辦法反映成本
transcript.whisperx[60].start 3240.009
transcript.whisperx[60].end 3248.732
transcript.whisperx[60].text 但是八千多億現在是我的成本所以這會造成這個虧損是沒辦法的所以我們在說行政院有編兩千億要來給台電來銷這份錢我要跟院長講來不是 前面前面台電在2014年的時候還發給每一副的用戶880塊
transcript.whisperx[61].start 3269.807
transcript.whisperx[61].end 3296.948
transcript.whisperx[61].text 本人理本人包啦是怎麼2014一直來來到現在2014都要撩到痛苦這不是只說一個說什麼油企業啦 鋼索企業這樣這不足以解釋跟委員報告台電除了這個原物料燃油上漲之外台電近幾年來啊一直在做以氣換煤的電廠更新每一次電廠更新從原來的報價到最後完工
transcript.whisperx[62].start 3297.597
transcript.whisperx[62].end 3324.519
transcript.whisperx[62].text 那個工程費用都是翻倍在成長因為這是整個物價人工材料等等的上漲這個每個工程修正計畫裡面都是這樣子所以不只是原物料這個問題在過去在COVID-19時間它累積的負債是比較高所以它累積到今天我們想辦法用當時它因為補貼民生沒有漲電價的這個原因把它補貼回來撥補給台電
transcript.whisperx[63].start 3326.653
transcript.whisperx[63].end 3340.447
transcript.whisperx[63].text 前幾天我們AIT的處長他講說美國可以support我們的液態瓦斯、核能、新的核能等等等等他們可以幫忙我們
transcript.whisperx[64].start 3341.087
transcript.whisperx[64].end 3369.15
transcript.whisperx[64].text 那我也看到院長你的回應說只要有新的核能選項你不排除嘛部長你也這種看法吧我們對於開放的討論學習甚至一起來做有必要的研究都應該我看美國 Google Amazon他們都自己都像川普兩天前又說他開放你們自己去蓋電廠核電廠什麼都來了所以他們是很開放的態度我倒是希望說不要堅持
transcript.whisperx[65].start 3369.91
transcript.whisperx[65].end 3390.359
transcript.whisperx[65].text 一定要非核什麼會讓人家覺得是這麼的MOSFET太老頑固了這不是我剛剛跟委員答覆過了能夠沒有安全的顧慮沒有核廢料而且大家都共識全民接受新的核能技術政府開放的態度來共同討論學習甚至研發現在核三長我去找幾座都沒找到我非常非常關心因為核三長的員工真的是非常的
transcript.whisperx[66].start 3401.279
transcript.whisperx[66].end 3421.668
transcript.whisperx[66].text 純樸,非常的好,非常的認真,這個真的是我們國家的財產,我們的寶貝,在那裡找鄉村人,住在鄉村,退學後在那裡買民宿,你也鄉村人,幫了人家,當了人家,我又去你家的古厝看,結果沒人在那裡住,你家也沒人在住,只剩一些宗親在住而已。我還沒九年年紀,我們幫了住的人都九十多歲以上,九十多歲以下,
transcript.whisperx[67].start 3430.117
transcript.whisperx[67].end 3446.393
transcript.whisperx[67].text 我一定要說,河山場五百多公頃,好好的去規劃,好好的做,那個真的是非常好,非常可惜。如果有新的技術、新的核能、新的現象,應該那個地方好好做。
transcript.whisperx[68].start 3447.421
transcript.whisperx[68].end 3458.426
transcript.whisperx[68].text 那個地方我看也沒什麼...報告委員,現在是這樣啦,現在我們的河山場的部分,以現行的河管法規定,我們的這條離岸是40噸啦,台電必須要遵照河岸會的規範去執行,
transcript.whisperx[69].start 3465.78
transcript.whisperx[69].end 3485.967
transcript.whisperx[69].text 我認為河山的二號機應該燃料池空間是不足的所以沒辦法運電到60噸所以需要我們地方來支持興建乾燥的設施如果這些命題都可以來改觀我相信委員的支持和建議大家都可以來做參考
transcript.whisperx[70].start 3492.998
transcript.whisperx[70].end 3520.385
transcript.whisperx[70].text 大家都很用心,大家都很疼惜這塊土地,大家都很聰明,沒有笨蛋。所以你們在講的,你們在看的,我們都在看。我們那個吸收國外的資訊,世界一流的資訊,我們的速度也不會比你們慢。所以,相信我們的腦筋也不錯啦。好,我前輩也剩三千了,我要講醫療。莫丁你先回。
transcript.whisperx[71].start 3522.841
transcript.whisperx[71].end 3539.849
transcript.whisperx[71].text 時間有限,來,我要跟議長說,這個邱在元,我做他三年的歷史就是做到這麼高的,所以我的配合很好。他也很認真,林靜雲、邱在元、石崇良,這段時間也表現得…也要幫他加油啦。
transcript.whisperx[72].start 3543.038
transcript.whisperx[72].end 3571.33
transcript.whisperx[72].text 我不想人家苛責,一句話就不辦,但是我們要知道,請一個點滴,迷茫茫,但是那是輕鬆出問題,你也不能把它放下去,所以一直在做,大家罵,罵歸罵還是要做事啦,那現在台灣的問題就是人口老化太快,快到你沒辦法掌握,一下子非常嚴重,然後醫療量量的不足,
transcript.whisperx[73].start 3572.789
transcript.whisperx[73].end 3600.303
transcript.whisperx[73].text 又加上這個火力啦 醫生啦 大家照著照著得得那你生起來很多預算在做那我要跟你講一個就是我們台灣在急診室去急診的人分做一二三四五啦 可能一定你不太知道一二級就是要站上去啦 那個水有蓋的 有那個急救的三級是普通普通 四級五級是可以等的所有老人來齁 差不多三級來
transcript.whisperx[74].start 3601.772
transcript.whisperx[74].end 3628.857
transcript.whisperx[74].text 才生起來喔,他才有六七成的惡化病一二次所以都放他去健身醫生也不可以讓他回去家屬也不可以讓他回去伯人也不可以讓他回去所以問題就出在這裡所以在這裡醫療分子在台灣喔,不成功不成功,真的不成功而且每一個人都很友好老人都孤,像我老婆96歲我們本來也孤到咪咪咪,是怎樣
transcript.whisperx[75].start 3631.024
transcript.whisperx[75].end 3660.394
transcript.whisperx[75].text 又好啦又好所以這跟台灣形不太同所以我要跟部長講他很用心的在搞這個所以醫療、人力、空間、量能都非常的警戒那最後我要跟你講最後一張我要跟院長還是要跟你請求啦台灣的住宅區裡面的中型
transcript.whisperx[76].start 3661.178
transcript.whisperx[76].end 3687.008
transcript.whisperx[76].text 醫院尤其是社團法人跟私人醫院碰到的空間不足還有容積力太低你上次跟我答應說你要通盤考慮有沒有醫院是一個無人生命健康最重要的地方所以它本身必須要符合種種的安全法規那如果因為整體的檢討有必要做政治的調整的時候會不會自然
transcript.whisperx[77].start 3707.247
transcript.whisperx[77].end 3708.428
transcript.whisperx[77].text 接下來我們請范雲委員質詢圖全級委員請準備
transcript.whisperx[78].start 3732.344
transcript.whisperx[78].end 3736.428
transcript.whisperx[78].text 謝謝院長有請刑事院長卓院長麻煩再請卓院長備詢各位好
transcript.whisperx[79].start 3749.099
transcript.whisperx[79].end 3775.629
transcript.whisperx[79].text 院長好今天主要是為兒童家庭還有教師有三題要跟您請命希望能夠得到院長的支持第一個部分我想今年就是從去年我們就知道勞動部爆發霸凌案當時就是部長也被迫下台我們的立院好同事洪森翰
transcript.whisperx[80].start 3776.289
transcript.whisperx[80].end 3792.857
transcript.whisperx[80].text 他接棒要繼續完善職場霸凌的機制那這幾張照片其實是要跟您講就是說在那件事情發生之後其實職場霸凌還不斷的發生中間這個是代理教師案那我也跟新北的代理教師一起開記者會
transcript.whisperx[81].start 3793.877
transcript.whisperx[81].end 3808.648
transcript.whisperx[81].text 然後右邊是最近的台大醫院爆發的護理師申訴霸凌案這裡面我們出開記者會其實都不只是個案是因為連台大醫院跟新北教育局都出現
transcript.whisperx[82].start 3809.469
transcript.whisperx[82].end 3836.488
transcript.whisperx[82].text 制度跟程序的問題所以非常的重要再來是要跟您講其實教育體系裡面這個問題我長期關心從2021年不知道院長當時您還不是院長嘉義代理教師就被校長霸凌輕生當時我們就有談到其實整個校園處理霸凌機制事實上是不完善的去年教師節我也跟教師團體一起開記者會
transcript.whisperx[83].start 3839.789
transcript.whisperx[83].end 3863.596
transcript.whisperx[83].text 發現當時都還沒有發生勞動部的這個事件職場霸凌其實是教師荒的原因之一所以我跟高教工會也一起開過記者會他們調查的是高教連高教的老師都有六成被調查的人說他們遇到職場霸凌的時候不敢提出申訴那有非常多的原因不信任這個制度所以我想先以我們的教師
transcript.whisperx[84].start 3864.696
transcript.whisperx[84].end 3893.828
transcript.whisperx[84].text 遇到的職場霸凌讓院長了解這個問題的複雜度現在校園的職場霸凌可以說有六大問題就是我在這個PPT上整理的第一個多數學校都限制得很嚴格申訴是一年內第二個保護處理的相關機制譬如調查程序調查有沒有期限目前我們知道的高教工會的調查有30所大學相關的辦法中完全寫得不完
transcript.whisperx[85].start 3894.828
transcript.whisperx[85].end 3916.496
transcript.whisperx[85].text 時間暫停 范委員我們現在備詢台硬體設備就是三位現在教育部長已經來了 您看哪一位部長先回好不好沒關係 沒關係不好意思 這跨部會人比較多所以台不夠站的那我們教育部長先好了其實我昨天也在教育委員會有處理過這樣可以了嗎
transcript.whisperx[86].start 3917.176
transcript.whisperx[86].end 3939.507
transcript.whisperx[86].text 好因為這樣子各方面畫面各方面都比較好有有有謝謝院長這樣有保障我的時間好那這裡面的就是包含就處理機制學校裡面的相關職場霸凌也沒有規定調查的組成那所以教師就會沒有信任感因為如果都是校長人馬的話等等最後呢
transcript.whisperx[87].start 3939.887
transcript.whisperx[87].end 3955.707
transcript.whisperx[87].text 救濟管道我剛剛講前面跟新北的代理教師開記者是因為那位受害者他先跟勞工局申訴勞工局說代理教師跟教育局沒有勞僱關係無法使用職安法
transcript.whisperx[88].start 3956.388
transcript.whisperx[88].end 3979.336
transcript.whisperx[88].text 那後來呢 教育局 但是前面是勞工局教育局又告訴這個老師學校是教育業 所以適用職安法所以一個勞工局 新北勞工局說不適用職安法他是代理教師那教育局說 那個是職安法這代表目前的職場霸凌在教育領域裡面有一部分的人完全是真空狀態
transcript.whisperx[89].start 3980.316
transcript.whisperx[89].end 3999.226
transcript.whisperx[89].text 那現在我知道勞動部肯定就是洪部長積極在修職安法那考試院也正在修公務員的安慰辦法那本席非常的支持政府明確規範職場霸凌的處理機制但是有兩大問題今天想跟院長
transcript.whisperx[90].start 4001.328
transcript.whisperx[90].end 4022.526
transcript.whisperx[90].text 請教第一個我想非常的肯定勞動部最近很快就公告出預告草案內容可是這裡面我覺得還是有些地方要商去第一個裡面關於申訴調查處理的程序您看左邊就是第22-2內部申訴調查保護那裡面都是寫授權執法
transcript.whisperx[91].start 4026.269
transcript.whisperx[91].end 4055.125
transcript.whisperx[91].text 那外部申訴調查處理機制也是說授權執法那我右邊是想要跟院長講可是您看一下性平教育法他完全都把主要的精神都明定在性平教育法這個母法中那當然我知道就是說其實性別平等教育法我們要肯定過去教育部還有相關的人長期的努力這個我們就國際的比較來講都是高標做得非常好
transcript.whisperx[92].start 4055.765
transcript.whisperx[92].end 4082.943
transcript.whisperx[92].text 但是我想我們這次勞動部修法雖然勞動部有提到好像各國對職場霸凌的密度不如性騷性侵這些那麼高我還是覺得勞動部的職場霸凌就你們現在公告的草案內容還是應該要把申訴調查處理機制的原則性的精神就是不能夠有閃失的東西定在母法中這是第一點再來關於
transcript.whisperx[93].start 4086.726
transcript.whisperx[93].end 4104.835
transcript.whisperx[93].text 職場霸凌的定義有想跟讓院長了解然後也希望勞動部可以再考慮目前職場霸凌第一個我先對這個定義覺得已經相當好值得肯定勞動部顯然邀了非常多的專家學者有做努力那現在唯一的一點就是
transcript.whisperx[94].start 4105.935
transcript.whisperx[94].end 4124.862
transcript.whisperx[94].text 一些專家還有疑慮的是我們看下面的教師法就是CRC的國際審查就是兒童人權公約已經認為說我們教師法對於霸凌跟體罰要求造成其身心嚴重侵害條件違反公約他的意思是什麼
transcript.whisperx[95].start 4125.322
transcript.whisperx[95].end 4140.638
transcript.whisperx[95].text 如果一個教師霸凌學生不能夠只是說他身心健康有傷害因為這個時候受害者要證明他身心健康是有傷害那難道身心健康的勞工被霸凌就不是霸凌嗎
transcript.whisperx[96].start 4141.138
transcript.whisperx[96].end 4164.107
transcript.whisperx[96].text 所以我們應該從霸凌者的行為來做規範而不應該加上就是說致其身心健康遭受危害這個會讓成案非常的困難因為你要受害者要舉證那這個是我們在教育的現場已經正在發聲跟努力的事情那當然今天主要為什麼這題不是直接問勞動部是問就是說院長
transcript.whisperx[97].start 4168.149
transcript.whisperx[97].end 4194.396
transcript.whisperx[97].text 就是這裡面需要涉及到勞動部考試院的跨院合作那您可以看到我們這個霸凌議題非常的複雜校園是屬於職場適用職安法那公務人員適用安慰辦法是考試院那校園內的救濟是教育法規教育部教育部裡面又有代理教師所以院長是不是能夠就是
transcript.whisperx[98].start 4195.656
transcript.whisperx[98].end 4220.811
transcript.whisperx[98].text 我等一下我這邊先回到教育的部分而且教育的部分特別複雜昨天已經在教育委員會裡面謝謝部長他其實有承諾說教育體系的部分會特別的去研究等到勞動部修好之後跟安慰法修好之後就會在三個月內能夠答應所以我想我今天主要的三個訴求是第一個
transcript.whisperx[99].start 4221.651
transcript.whisperx[99].end 4236.816
transcript.whisperx[99].text 院長是不是能夠指派政院層級的人,不管是政委或是副院長,可以協調勞動部、考試院、人種教育部,讓他們把職場霸凌的機制定義等,能夠改善、完善呢?
transcript.whisperx[100].start 4237.556
transcript.whisperx[100].end 4258.158
transcript.whisperx[100].text 第二個教育部是不是可以根據校園的特殊性研究在治安法修法後的三個月內完成校園內的制度完善那還有針對代理教師的部分教育部也應該要啟動代理教師的救濟權益修法那這三點訴求不知道院長是不是能夠承諾支持
transcript.whisperx[101].start 4259.033
transcript.whisperx[101].end 4278.558
transcript.whisperx[101].text 非常謝謝委員關心這個重要的議題我也要非常遺憾的表示日前勞動部發生的問題引起社會的重視也做出了相當多的指責那我們相關包括勞動部包括我們人總還有所謂的部會也在同時擬定了很多的內部的辦法
transcript.whisperx[102].start 4279.238
transcript.whisperx[102].end 4303.645
transcript.whisperx[102].text 那您剛剛提到的三個數學我想第一個現在包括人總包括勞動部或是還有其他部會跟考試院的保訓會都有在做一個修法上面的一個聯繫那麼如果說這個聯繫是順暢的我就希望他們能夠緊速去完成如果有問題我會請秘書長來做協調來幫忙兩院之間跟我們部會之間那這個第一個問題如果能夠這樣做就可以解決第三個問題
transcript.whisperx[103].start 4304.565
transcript.whisperx[103].end 4327.919
transcript.whisperx[103].text 代理教室的問題也是現在還在因為目前真的沒有適當的機制那我們就可以再邀集這相關的部會來做一些未來能夠有效的救濟的方式那第二點部長剛剛也說明過了那昨天吧應該在教育委員會有說過三個月內要完成校內制度這個部分我想部長一定照著這樣的時程來跟委員做回報
transcript.whisperx[104].start 4329.007
transcript.whisperx[104].end 4346.164
transcript.whisperx[104].text 好 謝謝院長的支持那當然就是勞動部定義的部分我想這邊就請勞動部回去現在可以簡短回應嗎我簡單的回應我們在職安法上面用的所謂的危害這兩個字其實是職安法裡面的一個用詞它的意思並不是一定要
transcript.whisperx[105].start 4347.706
transcript.whisperx[105].end 4361.527
transcript.whisperx[105].text 產生具體的傷害可能包括相關產生威脅其實他這個危害的這兩個字我想我們其實也許可以在修法的這個說明上面其實在說明的更清楚他不一定指的是他不是指
transcript.whisperx[106].start 4362.188
transcript.whisperx[106].end 4379.375
transcript.whisperx[106].text 不只是指說一定要產生具體的傷害健康已經非常非常重大的損害才能夠算是這樣並不是這樣那我想那個部分就請勞動部因為你們是草案階段嘛能夠再請教各界的意見針對定義還有我們剛剛講的是不是都放在執法裡面有一些重要的原則
transcript.whisperx[107].start 4381.555
transcript.whisperx[107].end 4404.382
transcript.whisperx[107].text 謝謝 再來要為兒童權益兩位部長應該可以回座了這題不知道院長有沒有印象其實我去年6月10月總質詢都有講過兒童工作證這個是衛福部的範圍當時衛福部的回應是說好像不需要兒童工作證因為現在有各種不適任人員的資料庫
transcript.whisperx[108].start 4405.382
transcript.whisperx[108].end 4420.373
transcript.whisperx[108].text 這個是針對像性侵性騷兒童這些就是曾經犯案過人那其實事情又經過了從去年又到現在您可以看到右邊的新聞性侵兒少被判刑夏令營負責人又開課
transcript.whisperx[109].start 4421.474
transcript.whisperx[109].end 4444.323
transcript.whisperx[109].text 被判刑的又去開課下面的 戲曲名師設性侵甚至讓學生前往住住排練這個也是被學校開除的教授性侵教師又再度在文化部的活動出現那下面是台中棒球隊教練性侵41個兒童有前科因為他有良明症成功獲得獲聘
transcript.whisperx[110].start 4446.244
transcript.whisperx[110].end 4467.823
transcript.whisperx[110].text 所以現在講的是一再發生的已經被判刑已經在個別的不適任資料庫的所以要跟院長報告我們左邊整理了現行的不適任資料庫的六大問題第一個如果這個活動不用立案就不用查譬如說夏令營小學才藝班家長自己揪團第二個掛一漏萬
transcript.whisperx[111].start 4468.644
transcript.whisperx[111].end 4483.599
transcript.whisperx[111].text 譬如說現在我們發現家長喜歡文化才一般那你要再去文化部也要搞一個這個資料庫嗎第三個沒有落實查詢造成傷害台中棒球這個教練性侵41統這個事情就是沒有落實查核
transcript.whisperx[112].start 4484.54
transcript.whisperx[112].end 4511.198
transcript.whisperx[112].text 那再來第四個期限一過完全消失因為這個不適任名單是有期限的第五個查詢權限很限縮一般人是沒有辦法查詢的最後呢查得到也進不了非常遺憾的台北幼兒園案的園長就是這樣所以事實證明上一次衛福部回應的不適任資料庫已經沒有辦法解決二郎再犯的問題那也跟院長報告那這個嚴肅的問題兒童節前夕
transcript.whisperx[113].start 4515.321
transcript.whisperx[113].end 4538.998
transcript.whisperx[113].text 就是儿童保护的团体跟网络就是做公民联署的联署人一起为儿童请命那感谢那天卫福部很积极地过来有派副司长前来他当场肯认儿童工作证的精神也表示他们会去研议那所以今天我想再借这个机会那不知道院长哦
transcript.whisperx[114].start 4539.358
transcript.whisperx[114].end 4563.571
transcript.whisperx[114].text 是不是有被說服因為衛福部的副司長已經承諾會去演繹了因為他們已經發現上一次之前回答的不適應資料庫其實沒有辦法解決因為太多資料庫了那是不是能夠支持在兒少全法修法的時候就直接納入像澳洲跟一些國家有的兒童工作證的制度給兒少更安全的成長環境呢
transcript.whisperx[115].start 4564.329
transcript.whisperx[115].end 4588.599
transcript.whisperx[115].text 好謝謝委員如果現行資料庫的機制沒有辦法是應對目前還持續發生的社會現象那衛福部確實應該就整個制度面要積極的去研討那部長現在對於這個問題的下一步的這個研議的動作是怎麼樣請邱部長簡單回答就好謝謝委員的質詢除了現行的機制以外
transcript.whisperx[116].start 4589.159
transcript.whisperx[116].end 4613.834
transcript.whisperx[116].text 我們適合參考澳洲的做法那就是兒童及少年福利潛力法把這個工作政策制度我們會積極邀請相關的部會與民間團體來研議積極的進行好 謝謝邱部長那也謝謝卓院長支持那我們會再繼續監督最後一個雖然只有一分多那部長可以請回那又回到就是
transcript.whisperx[117].start 4614.754
transcript.whisperx[117].end 4629.689
transcript.whisperx[117].text 一個非常重要的我想我們那個正副院長也會非常的關心因為他當時是我們賴清德總統候選人的政見的總負責人在我們賴總統的政見中有一個彈性喻音架譬如說第二行寫
transcript.whisperx[118].start 4630.49
transcript.whisperx[118].end 4658.644
transcript.whisperx[118].text 實施得分次請領的彈性喻音架及津貼所以今天就是只有一點時間那我也是要肯定洪森漢部長一上任就積極落實只是我覺得他的回應還是語言太保守一點你說我們還沒有放棄你剛上任就還沒有放棄賴總統的政見這樣子不夠積極吧但是我也知道遇到很多的問題那當然我今天要問是擔心
transcript.whisperx[119].start 4659.964
transcript.whisperx[119].end 4674.73
transcript.whisperx[119].text 勞動部因為錢因為行政人力出來的方案太保守你可以剛剛講的是六個月那人總協助支援人力因為我們的了解勞動部遇到的問題是說好像人總不給他人力這個涉及到
transcript.whisperx[120].start 4678.435
transcript.whisperx[120].end 4703.593
transcript.whisperx[120].text 那院長是不是可以全力支持然後沒有這麼多還沒有做到的婦女團體的要求我會放心針對少數化的問題政府任何英運各部委組出來我們都會優先拿下來採訪那我希望院長任內能夠努力六個月都能夠做到天委單委真正的談刑讓大家看得到 懂得到好嗎我跟副常常都會在研究
transcript.whisperx[121].start 4706.715
transcript.whisperx[121].end 4716.235
transcript.whisperx[121].text 好 謝謝范營委員質詢 謝謝卓院長 各部會首長的備詢 謝謝接下來我們請圖全集委員質詢 王美惠委員請準備
transcript.whisperx[122].start 4730.814
transcript.whisperx[122].end 4741.556
transcript.whisperx[122].text 好 謝謝主席那請我們卓永泰卓院長還有我們農業部陳俊濟部長還有我們郭志輝經濟部長 謝謝麻煩請卓院長經濟部農業部備詢杜委員好好 院長 部長好那我們
transcript.whisperx[123].start 4758.861
transcript.whisperx[123].end 4773.016
transcript.whisperx[123].text 4月2號美東時間開始我們全球經濟面對大動盪那美國總統川普也宣布那一天為解放日也公布一項全新的我們雙層的關稅制度先是10%的基準關稅後來又針對60個國家徵收額外的對等關稅
transcript.whisperx[124].start 4779.102
transcript.whisperx[124].end 4808.522
transcript.whisperx[124].text 那台灣也被要求課徵32%那這個衝擊真的非常大那雖然後來川普總統有馬上宣布暫緩要向各國來進行關稅的談判可是這個可以說是國難當頭我們不能不勝那4月11號是不是我方的經貿談判團隊有跟美方進行這個視訊會議是的那有沒有什麼具體的成果還是有談到哪一些部分嗎
transcript.whisperx[125].start 4809.822
transcript.whisperx[125].end 4828.487
transcript.whisperx[125].text 我們也很欣慰能夠在算是第一輪的開始我們在很優先的時間序上面跟美方就雙方的談判團隊進行視訊的會議那視訊談到的我們日前有向國人報告關於對等關稅非關稅貿易障礙以及出國管制
transcript.whisperx[126].start 4829.187
transcript.whisperx[126].end 4856.882
transcript.whisperx[126].text 在內的多項議題交換的意見但這是一個啟動未來我們會將更完善的被妥所有跟全部的資料跟美方做下一波的一個談判那這個時間我們還在爭取最有利於我方的時間那有沒有談到一些軍國方面跟天然氣的採購方面我基於國際談判的慣例跟雙方的默契我們雙方同意就是對於對等關稅非關稅貿易障礙以及包括出國管制多項議題來做交換意見
transcript.whisperx[127].start 4859.15
transcript.whisperx[127].end 4863.405
transcript.whisperx[127].text 所以現在只能講一些大略的部分細節部分沒有辦法說明
transcript.whisperx[128].start 4864.232
transcript.whisperx[128].end 4891.328
transcript.whisperx[128].text 就談判的過程是如此我想請問一下因為這一部分在視訊會議我們這個談判的部分我們的學界跟專家都有提醒說美方可能會要求加碼買美債的持有甚至我們也看到我們執政黨立委也倡議說應該要擴大持有針對這一部分我們談判的代表裡面有央行的成員嗎
transcript.whisperx[129].start 4892.609
transcript.whisperx[129].end 4911.574
transcript.whisperx[129].text 事先的諮詢團隊都有可是談判的時候沒有我們金融支持的各方的團隊都有因為我們也看到我們中央銀行總裁楊金龍總裁好像也對擴大持有我們也在這個建議他也說是非常好也可以對於跟美國談判的一個籌碼
transcript.whisperx[130].start 4913.51
transcript.whisperx[130].end 4931.415
transcript.whisperx[130].text 我們現在談判的態度就是我們採取任何議題都可以談但是我們基於國家最高的利益以及產業界能夠維持它的國際競爭力兩項原則跟美方做所有的接觸所以任何包括採購包括投資以及包括各種的合作案都可以談
transcript.whisperx[131].start 4931.977
transcript.whisperx[131].end 4947.116
transcript.whisperx[131].text 那你剛才談到的美債其實我方持有美國的美債也有相當大的數量那在這個時候一定是依照整個國際金融秩序以我們財政能力的規劃來做進一步的思考那美債這部分有談到嗎
transcript.whisperx[132].start 4948.949
transcript.whisperx[132].end 4974.813
transcript.whisperx[132].text 這個是我們在內部規劃會有這樣的準備但是談判的過程抱歉這個有列入選項不是我們很多的選項都列在裡面我剛才說採購也有投資也有還有這些談判到底關稅產業各項產業的關稅的稅率如果談判我們都有做準備這是我們備託的方案但實際進到談判的桌上去談的我們還要進一步的去到了那個時間點才能跟對方來談
transcript.whisperx[133].start 4976.223
transcript.whisperx[133].end 4999.569
transcript.whisperx[133].text 好 那也希望能夠為我們台灣的經濟多幫忙一定 我們是以產業維持產業國際競爭力讓國內的產業能夠安定這個是最優先的一個考量好 那也提醒我們行政院其實在川普宣布對等關稅措施的前三天3月31號我們有看到美國貿易代表署有提交2025對外貿易障礙評估報告那點名對我國
transcript.whisperx[134].start 5005.68
transcript.whisperx[134].end 5022.664
transcript.whisperx[134].text 美豬牛馬鈴薯稻米基改食品等限制為不必要的貿易障礙要求我國來調整那請問院長針對美豬美牛進一步的開放還有美國稻米的關稅調漲或者擴大配合這一部分
transcript.whisperx[135].start 5025.013
transcript.whisperx[135].end 5049.374
transcript.whisperx[135].text 照院長剛剛這樣講應該也有可能是成為談判的籌碼之一我想每個國家不論它是在工業或農業都有屬於自己國家的敏感的產業敏感的產品它都會基於保護這些敏感產品用國家的角度來思考每個國家都是這樣子那我們跟美方因為我們在去年我們對美方的輸出是比較多造成美國的逆差比較大
transcript.whisperx[136].start 5051.383
transcript.whisperx[136].end 5068.849
transcript.whisperx[136].text 所以他會要求我們盡量在平衡這個逆差裡面那我們採行的方法會用大的投資大的採購來平衡這個貿易那至於這些比較敏感的產品我想是基於雙方共同的利益我們就不分工業部門或是農業部門會進行各個產業不同的評估那當然農業
transcript.whisperx[137].start 5070.587
transcript.whisperx[137].end 5088.786
transcript.whisperx[137].text 漁民 農民是我們要優先保護的對象我想這個委員您放心 國內也放心我們一定站在這個原則上為什麼說要提醒院長因為我們賴總統有在彭國社來表示他會致力於排除非關稅貿易障礙向美豬美牛進一步開放等等
transcript.whisperx[138].start 5089.506
transcript.whisperx[138].end 5110.299
transcript.whisperx[138].text 這些就是美方最關注的非關稅貿易障礙所以我也希望院長能夠注意我們賴總統有在彭博社曾經有表示過這個意見要排除非關稅貿易障礙的品項非常的複雜但是一定要有排除的依據我們的依據就是如果符合國際貿易秩序也有國際的標準
transcript.whisperx[139].start 5111.888
transcript.whisperx[139].end 5119.77
transcript.whisperx[139].text 從此他有科學的證據那都是可以在談判所來談的但是保護農運民的權益優先這個還是我方基本態度
transcript.whisperx[140].start 5120.287
transcript.whisperx[140].end 5147.894
transcript.whisperx[140].text 因為現在大家也很擔心那個美國稻米零關稅的問題像白米炸彈客楊如門他就有講如果美國廉價米零關稅來開放就是崩盤失業滅龍的三連擊那我們養豬協會也提醒如果豬肉產地標示這個法規一定要守住如果消費者沒有辦法辨識產地那我們說想要支持台灣豬肉
transcript.whisperx[141].start 5148.914
transcript.whisperx[141].end 5153.065
transcript.whisperx[141].text 真的沒有辦法這絕對對國內的豬肉的產業會造成很大的衝擊楊先生過去對台灣農業也就是稻米
transcript.whisperx[142].start 5158.636
transcript.whisperx[142].end 5185.441
transcript.whisperx[142].text 到道農的這些用心的支持我們都肯定我也看到了他最近的這個文章在當天我就請部長一定要設法能夠去進行說明溝通甚至詢問意見那不是請部長能夠說明這個過程好我跟委員說明就是剛才委員所提到的現在目前在貿易清單裡面的一些品項那農業部因為我們跟美國基本上是逆差的部分那這個部分我們會先跟美國積極的說明
transcript.whisperx[143].start 5187.521
transcript.whisperx[143].end 5206.29
transcript.whisperx[143].text 針對一些國內必須去保護不是保護 就是說去支持的我想農業部基本上因為我們農業肩負了糧食安全的責任像您說的稻米的部分還有一些本身的肉類 禽類的部分這個都是我們糧食安全必須要守住的部分所以我們未來在處理這個議題的時候
transcript.whisperx[144].start 5207.751
transcript.whisperx[144].end 5221.14
transcript.whisperx[144].text 我們一定是要確保我們產業的競爭力同時穩定我們產業的永續發展更重要的是我們會保障我們的農民漁民的權益用這三個原則我們才會去處理後續的這些相關的一個談判議題
transcript.whisperx[145].start 5222.421
transcript.whisperx[145].end 5249.896
transcript.whisperx[145].text 對啊因為這個豬跟牛還有稻米是我們民眾真的還有各個豬農牛農稻農最特別關心的一個問題那我們了解目前我們針對加徵關稅蘭花 茶 毛豆還有出口魚類我們好像已經有開始做產業衝擊座談可是我們對於美方點名的非貿易障礙豬跟牛稻米好像還沒有開始開這個座談是不是
transcript.whisperx[146].start 5251.531
transcript.whisperx[146].end 5258.754
transcript.whisperx[146].text 我跟委員報告就是我們現在跟業者座談是針對美方提高關稅本來是30後來是暫緩90天用10%的情況之下我們跟農業民去
transcript.whisperx[147].start 5265.086
transcript.whisperx[147].end 5290.178
transcript.whisperx[147].text 告訴他們我們政府所提出來的這個支持方案同時也聽我們產業的一些意見來滾動檢討我們的支持方案那至於您剛才說的這些關稅的這些談判的部分那現在目前所有的議題都在準備當中我們並沒有說要把農業的議題推到第一線去跟美方談我們絕對不會犧牲了農民的權益當作一個籌碼
transcript.whisperx[148].start 5291.377
transcript.whisperx[148].end 5308.212
transcript.whisperx[148].text 好當然啦我們也是今天會提出來就是害怕影響到他們的權益那當然因為我也知道這個談判過程就像院長剛剛講很多的選項裡面就是希望有利於這個談判那當然如果談判這個過程中能夠不讓步那當然我們希望能夠
transcript.whisperx[149].start 5308.792
transcript.whisperx[149].end 5328.471
transcript.whisperx[149].text 保護我們這些農民豬農牛農稻農等等但是如果真的談判的過程美方強烈的要求如果我們行政院真的會有讓步的話我覺得也要在這之前要向農友進行農業農產座談還有相關的配套措施這部分可以嗎
transcript.whisperx[150].start 5329.651
transcript.whisperx[150].end 5357.735
transcript.whisperx[150].text 跟委員報告整個我們談判團隊啊內容準備的相當的完備啊無論是工業或是農業各方面那我們也想到說在談判的過程當中當然是爭取最大的利益啦但是如果說雙方在談判的過程一定是互有進有進有退嘛那我們基本的原則一定要守住但是可以在跟他細節上面做談判的時候必到了一定成熟
transcript.whisperx[151].start 5358.206
transcript.whisperx[151].end 5384.854
transcript.whisperx[151].text 要跟國人報告我們一定隨時準備好向國人清楚的說明當然我們是希望這部分我們能夠堅守我們的原則希望像尤其豬肉的部分我覺得產地的標示我們真的應該是不能退讓因為我們這要保護我們的豬農像本席的選區桃園沿海跟陽梅這些他們講他們這邊的豬比人還多所以表示
transcript.whisperx[152].start 5385.294
transcript.whisperx[152].end 5407.396
transcript.whisperx[152].text 他們這些豬農他們這個豬肉產業在我們地方占有非常重要的地位所以我們希望說當然能夠堅持一定要堅持但是如果真的談判過程中有困難的時候一定要先跟我們農友進行產業溝通相關的配套措施一定要完善不能讓損失到我們這些農民的權益
transcript.whisperx[153].start 5408.433
transcript.whisperx[153].end 5435.139
transcript.whisperx[153].text 是的 所以我們事先準備的這些支持方案我想農業部已經有相當詳細的規劃在裡面我跟委員報告台灣的豬肉自給率大概將近88到90而且我們台灣的豬肉是用溫體屠宰的方式所以請您相信我們台灣的豬肉在國人的心中是第一個優先選擇的部分那過往的豬肉其實其他的國家都有進口那這個進口的燉素裡面其實都是不同的國家在替換
transcript.whisperx[154].start 5435.839
transcript.whisperx[154].end 5462.851
transcript.whisperx[154].text 但是還是回歸一句所有的豬肉豬肉的部分跟雞肉的部分我想我們還是會確保農民的收益為前提之下才去考量後續的問題因為我們是擔心豬肉到時候沒有標示這個產地勢必對台灣豬農這個豬肉產業一定會造成很大的衝擊這一部分繼續努力請問一下我們院長跟我們經濟部長我們是不是沒有針對
transcript.whisperx[155].start 5464.312
transcript.whisperx[155].end 5491.546
transcript.whisperx[155].text 服務貿易這一方面來做統計數字因為根據我們貿易法的明文貿易我們是直指貨幣貿易那所以我們在經濟部國貿署這一部分服務貿易統計資料是不是沒有好像只有美方才有報告委員我想服務貿易的這個數字我們應該是持有的我們是有這樣數字但是問題這個不在關稅的範圍之內
transcript.whisperx[156].start 5494.195
transcript.whisperx[156].end 5506.608
transcript.whisperx[156].text 那我們查得到嗎我們有這個統計的資料嗎我們如果要去搜尋這些資料應該是可以搜尋得到但是這個沒有辦法作為我是說沒有做統計嘛這部分我們
transcript.whisperx[157].start 5507.948
transcript.whisperx[157].end 5524.393
transcript.whisperx[157].text 國貿署是沒有做這方面的統計資料嗎國貿署都是會有所有的國內的這個變動都有這些數字因為我會提出來就是說發現我們對美的服務貿易有往來只有美方的統計數字那服務貿易你看它
transcript.whisperx[158].start 5525.367
transcript.whisperx[158].end 5536.119
transcript.whisperx[158].text 涵蓋的很廣 臉書 Google Netflix這些公司在台灣的服務貿易的收入美方統計 2024年100多億台幣 3.86億美金但是我們覺得這個數字其實一定是遠遠被低估
transcript.whisperx[159].start 5544.198
transcript.whisperx[159].end 5568.438
transcript.whisperx[159].text 那不知道部長對這一方面所以我說我們都沒有做這個統計資料那因為根據我們查的資料顯示喔你看紐約時報報導美國服務貿易順差接近3000億美元約新台幣9.9兆那其中大部分的服務都從金融服務到雲端運算都是透過數位方式交付那NAFI在全球營收達到390億美元那
transcript.whisperx[160].start 5571.761
transcript.whisperx[160].end 5590.347
transcript.whisperx[160].text 他的淨利就達87.1美元那Google的母公司Alphabet在2024年的全球營收達到3500億美元那這些數字可以看得到美國在數位服務貿易這方面真的是全球賺飽飽所以
transcript.whisperx[161].start 5592.694
transcript.whisperx[161].end 5607.12
transcript.whisperx[161].text 我們桃園市市長張燦正那時候有提到川普在這一方面他完全不提Google臉書在全球賺大錢的事情那我們這個服務貿易這一部分是不是一樣也可以做成我們的談判籌碼
transcript.whisperx[162].start 5609.682
transcript.whisperx[162].end 5633.804
transcript.whisperx[162].text 跟委員報告這個服務產業的面非常的廣 項目非常的多其實我們跟美方就服務業的這種互相往來的進進出出數字它呈現一個不是很穩定的數字幾年下來都這樣有時候我們會有一些增加那這個在這一次的關稅的新政策當中並沒有列入因為它
transcript.whisperx[163].start 5634.564
transcript.whisperx[163].end 5658.344
transcript.whisperx[163].text 變成一個不是穩定的一個狀態這個我們在財政部啊他曾經有過相類似的一些評估出現那這個我們因為現在不在不列入到跟他談判的過程當中對啊我是建議啊因為也不能說美方都找他自己對他有利的條件你看這服務貿易我們我們這個這部分喔對美國服務貿易這個逆差非常非常的大
transcript.whisperx[164].start 5658.764
transcript.whisperx[164].end 5685.418
transcript.whisperx[164].text 我說這部分我們應該要做個統計數字應該也可以列入我們對美談判的籌碼這個統計數字我們有所以說剛委員說逆差非常大就是它呈現一個不穩定的狀態好 我們是希望說這一部分也可以列入啦能夠增加我們對美的談判籌碼好 那請我們兩位部長喔 謝謝那請我們客委會主委 我們谷主委麻煩請客委會備選
transcript.whisperx[165].start 5702.708
transcript.whisperx[165].end 5712.654
transcript.whisperx[165].text 好 那鼓主委那當然這部分首先先感謝我們客委會對於我們爭取桃園市政府對於我們
transcript.whisperx[166].start 5714.204
transcript.whisperx[166].end 5741.846
transcript.whisperx[166].text 三個建設案的補助那因為其實本席的選區也是算是道地的算客家莊像陽梅新屋都有七成八成的客家人那針對這一部分像我們新屋圖書館還有客家文化館這一部分我們爭取經費也感謝客委會已經核定備查可是針對觀音輪坪文化景園區客庄共榮市義遊客廳工程
transcript.whisperx[167].start 5742.966
transcript.whisperx[167].end 5759.513
transcript.whisperx[167].text 聽說我們評審委員對這一部分好像意見有分歧好像經費上還沒有核定是嗎是是在我們審查的時候委員對於這個計畫跟原來的目標客庄生活教育中心的主題比較
transcript.whisperx[168].start 5760.872
transcript.whisperx[168].end 5788.743
transcript.whisperx[168].text 不一致所以目前是沒有核定那這一部分我覺得如果說有需要的話本席也可以幫忙出面協調因為這部分其實對於我們發展客家文化其實有很大的注意所以前面兩個案子感謝我們主委那這第三個案子對於我們像觀音輪坪它也是典型的一個客家人的地方那這一部分也希望對於發展我們客家文化有所注意的部分希望我們客委會能夠
transcript.whisperx[169].start 5789.763
transcript.whisperx[169].end 5808.035
transcript.whisperx[169].text 來幫忙那有需要協調的部分本系也願意去跟大家來溝通協調是我們可以請同事再來了解看看地方上好謝謝主委那謝謝我們股主委請回那請我們交通部部長陳士凱陳部長請交通部備詢
transcript.whisperx[170].start 5818.186
transcript.whisperx[170].end 5833.935
transcript.whisperx[170].text 好那這部分也感謝我們陳部長因為那時候在委員會質詢的時候我們針對國一交流道北出閘道的改善計劃還有國一幼師交流道南出閘道的改善計劃那這一部分
transcript.whisperx[171].start 5834.855
transcript.whisperx[171].end 5860.087
transcript.whisperx[171].text 也感謝我們高工局全力的配合也特地下鄉去跟我們鄉親說明這兩個交流道因為長期以來多年交通非常臃色的問題那這一部分三月底已經公告招標年底完工不知道這一部分現在進度是怎麼樣這個部分報告委員沒有問題目前正在招標作業當中我們還是預定今年年底要完工所以這一部分應該沒問題
transcript.whisperx[172].start 5862.499
transcript.whisperx[172].end 5874.678
transcript.whisperx[172].text 還有我們現在大家比較關注的就是我們國道1號陽頭段拓寬這一部分的工程因為在地的鄉親就是希望能夠
transcript.whisperx[173].start 5876.007
transcript.whisperx[173].end 5892.976
transcript.whisperx[173].text 先規劃增設北出南入的閘道不要像之前我們舞陽高架做好之後後來多年以後有這個需求後來才去做這個閘道這變成二次施工也把這個時間拖得很長也讓我們在地的居民
transcript.whisperx[174].start 5894.036
transcript.whisperx[174].end 5919.139
transcript.whisperx[174].text 因為飽受這工程的困擾把這時間拖得更長所以我們希望在國道1號陽頭段拓寬的時候就能夠先把這北出南入的閘道增設的部分先來幫我們規劃納入好 這個部分我們跟市政府大家一起來研議看怎麼樣把它規劃進來好 這也順便跟我們部長提一下因為那個時候本來因為
transcript.whisperx[175].start 5920.601
transcript.whisperx[175].end 5940.4
transcript.whisperx[175].text 楊梅交流 楊梅休息站最近應該大家都應該比較有關注到因為在過年的時候才發生了死亡車禍那這個三年來它發生了十幾起而且造成七個人死亡尤其在這次過年特別的嚴重那當然也有很多
transcript.whisperx[176].start 5941.007
transcript.whisperx[176].end 5959.393
transcript.whisperx[176].text 民眾質疑就是說是不是因為它是原本的收費站去改成休息站所以是不是在設計規劃上有一些的問題希望能夠去做改善那當然我也希望說專業的單位去了解那當然我們那時候因為剛好要針對
transcript.whisperx[177].start 5961.033
transcript.whisperx[177].end 5987.822
transcript.whisperx[177].text 陽頭段的北出南入的閘道所以那時候本來因為休息站這個問題所以也有很多的地方的民意說是不是把這個休息站廢掉直接來做我們南入的閘道因為我們下去不到20公里就有一個湖口休息站是這部分可是好像這部分高工局交通部好像有點意見是不是這部分部長有掌握嗎
transcript.whisperx[178].start 5989.437
transcript.whisperx[178].end 6007.539
transcript.whisperx[178].text 因為這個休息站比較特殊這個休息站是給高架路段在使用的未來我們高架路段還會再做延伸所以以長途來講那邊是有需要做休息站當時也是因為原本沒做後來因為有這個需求才大家爭取去做了這個休息站
transcript.whisperx[179].start 6008.32
transcript.whisperx[179].end 6025.29
transcript.whisperx[179].text 那這個休息站的建置的過程當中當然一切都是依我們的安全法規去設定的所以安全上的設定應該是都沒有問題不然高工舉不會來做這個休息站好沒關係因為時間的問題那目前我們是因為高工舉有提出這個意見
transcript.whisperx[180].start 6026.371
transcript.whisperx[180].end 6053.39
transcript.whisperx[180].text 那後來也請交通局針對這一部分不然就是希望規劃做一個變道就能夠解決南入這個問題因為現在北出的問題已經解決了已經找到地方現在南入的部分後來那天我們有下去考察那就是說希望交通局先提出可行性評估希望做個變道對 由市政府先提出可行性評估對 那這一部分我們也希望部長到時候能夠來幫我們支持還有我們
transcript.whisperx[181].start 6054.671
transcript.whisperx[181].end 6080.263
transcript.whisperx[181].text 下一個就是我們之前在委員會也有提楊梅秀才路178巷它是一個縣道可是它是銜接台一線那時候我們有提出希望納入第三期的審改計畫裡面可是後來我們發現這個審改計畫好像說行政院到現在都還沒有核定我們經費已經通過可是這個計畫沒有核定是現在有什麼問題嗎
transcript.whisperx[182].start 6082.616
transcript.whisperx[182].end 6100.112
transcript.whisperx[182].text 報告這個行政院已經在應該上個月吧上個月已經核定已經核定了是嗎因為我們那時候計畫一直要送可是一直說行政院還沒有核定所以這計畫一直卡在那邊那也感謝院長那這個核定那我們就可以開始進行了還有剛好
transcript.whisperx[183].start 6104.707
transcript.whisperx[183].end 6124.585
transcript.whisperx[183].text 我們省道陽梅區在上個禮拜上個禮拜剛好我們在桃園陽梅的區段下起了大好雨當然我們也知道瞬間的大好雨有時候排水的問題沒有辦法解決可是後來民眾反映他是說主要是因為很多的排水口
transcript.whisperx[184].start 6125.225
transcript.whisperx[184].end 6146.618
transcript.whisperx[184].text 沒有清空導致你看這個畫面它下雨它水根本就排不下去並不是說當然瞬間好大雨無法馬上排走沒有問題可是它基本上是因為它的排水口阻塞所以今天要提出來的部分就是說新建的部分我們要做可是像我們台一線
transcript.whisperx[185].start 6147.838
transcript.whisperx[185].end 6172.803
transcript.whisperx[185].text 縱貫路這些是不是在颱風季節來臨的前夕是不是能夠做個清查針對很多的排水孔還有一些阻塞的部分應該做個清查不然造成這個淹水影響我們民眾財產的損失跟安全上的問題報告委員我們會請公路局針對我們所有的省道轄管的省道在汛期來臨之前的所有的這個清書的部分我們先來做
transcript.whisperx[186].start 6173.151
transcript.whisperx[186].end 6188.684
transcript.whisperx[186].text 好這部分請部長來多關心一下因為這個颱風季即將來臨希望能夠做個總體檢來檢查一下好謝謝我們部長那這部分還是不好意思請一下我們農業部的陳部長麻煩請農業部備詢因為我們部長我們在113年我們針對農機補助在2月就公告3月到4月
transcript.whisperx[187].start 6201.325
transcript.whisperx[187].end 6210.779
transcript.whisperx[187].text 就開始來實施第一階段申請從3月到4月底就開始申請可是這部分為什麼到現在還沒有公告那農民就很恐慌為什麼農機補助到現在還沒有公告
transcript.whisperx[188].start 6212.574
transcript.whisperx[188].end 6231.13
transcript.whisperx[188].text 我跟委員報告在前幾年的部分我們農機大概一年用大概23億的一個補助額度那都是先申請先營那這樣子因為有的產業他可能是在冬季才需要所以他購買的時候會在冬季所以我們這一兩年已經
transcript.whisperx[189].start 6232.071
transcript.whisperx[189].end 6254.058
transcript.whisperx[189].text 分為三個時期來接受申請跟接受它的一個審核所以才會有一些就是說每三個月我們會有一個公告然後再審查再公告再審查有一些時間的落差那現在什麼時候可以開始公告我這個部分我詳細的部分我回去問一下以後再跟委員回覆
transcript.whisperx[190].start 6255.209
transcript.whisperx[190].end 6278.249
transcript.whisperx[190].text 對 這請部長多幫忙喔因為這個農基補助他們每年像這個時候都已經開始申請3月1號就開始申請每年都是這樣那只有到今年到現在農基補助那我們看這個經費也沒有問題啊他這個經費就是農業的特別收入基金向下的農村再生基金現在是我們的申請跟審查我們有分階段不是
transcript.whisperx[191].start 6279.298
transcript.whisperx[191].end 6300.931
transcript.whisperx[191].text 往年一開始申請然後全部完了以後就開始審查我們有分階段讓不同的季節跟不同產業的農民那部長這一部分再幫我們加快一下因為很多農民在反映了解好謝謝部長那這一部分再請我們工程會門陳金德陳主委麻煩請工程會備選好那爭取時間那
transcript.whisperx[192].start 6309.161
transcript.whisperx[192].end 6321.606
transcript.whisperx[192].text 院長還有陳主委這一部分要幫我們航空城的徵收戶來請命那為什麼找陳主委因為在今年二月陳主委以政務員的身份有主持我們航空城的專案小組會議對吧那當時會中
transcript.whisperx[193].start 6325.228
transcript.whisperx[193].end 6340.25
transcript.whisperx[193].text 我們主委有指示配合街廓點交跟安置住宅陸續完工要讓徵收戶可以重建家園 成構住宅而且要在明年底前完成先建後遷讓我們桃園機場第三跑道可以順利推進可是現在
transcript.whisperx[194].start 6342.432
transcript.whisperx[194].end 6368.758
transcript.whisperx[194].text 針對這部分承購住宅部分的問題很多安置物既有的補償費不足以支付完整的購物費用現在在尋求我們貸款融資可是去年開始不動產融資政策緊縮雖然您有指示中央銀行跟金管會放寬貸款跟乘數的限制也讓他們優先核貸可是目前他們說
transcript.whisperx[195].start 6369.958
transcript.whisperx[195].end 6391.586
transcript.whisperx[195].text 他們到各個八大公股銀行這些去好像還是一樣沒有辦法能夠順利的貸款報告委員 這個我們有請中央銀行還有各金融機構有請他們能夠特別來考量但是目前的做法大概都是一致的
transcript.whisperx[196].start 6392.54
transcript.whisperx[196].end 6408.171
transcript.whisperx[196].text 那這部分因為成構住宅的部分事實上加上補助這部分的金額比一般住宅事實上是便宜很多那我們會盡量就個案來跟相關的銀行來
transcript.whisperx[197].start 6410.093
transcript.whisperx[197].end 6425.689
transcript.whisperx[197].text 來請求協助因為希望這部分能夠趕快協助因為他們在114年8月有一個15%的加速開發獎勵金可是你現在這個錢他帶不下他根本沒有錢買沒有錢去裝潢這些東西都不能去做然後
transcript.whisperx[198].start 6426.209
transcript.whisperx[198].end 6442.975
transcript.whisperx[198].text 又限期他在8月一定要搬遷過去房子都沒好他怎麼搬遷過去然後他過了時間獎勵金又領不到所以這部分有時效的問題希望我們針對貸款的部分給他們盡量協助那當然還有像我們安置街坑的徵售戶
transcript.whisperx[199].start 6443.755
transcript.whisperx[199].end 6467.606
transcript.whisperx[199].text 一樣他在明年二月底前完成二樓樓地板的勘驗好才能領取安置接擴重建協助金可是現在他們也面臨這個問題針對台水台電這個臨時水電的接管一方面人力不足還有這個臨時用電用水這個金額申請的這些費用都非常的高昂不知道
transcript.whisperx[200].start 6468.306
transcript.whisperx[200].end 6495.147
transcript.whisperx[200].text 有沒有能夠解決的方法公用設施的部分水電這個都已經完成了主要是台南市政府針對這麼多戶它的那個建造的申請也好或者是始造的勘驗也好它必須加快速度至於完成二樓的樓地碼面積的獎金這個都已經之前就已經公告了所以時間沒有辦法再演
transcript.whisperx[201].start 6495.97
transcript.whisperx[201].end 6518.777
transcript.whisperx[201].text 好沒關係但是你其他的部分要幫他解決他才有辦法去處理好那這部分提出來就是因為他們已經面臨到這個問題還有就是院長也在這邊那一天我們東龍凱悅也是航空陳真收戶這部分他們因為中央法規的限制還有國土署法規上要去尋求解套
transcript.whisperx[202].start 6519.657
transcript.whisperx[202].end 6536.762
transcript.whisperx[202].text 變成說他們現在想要納入結果遭受到很多的問題所以這部分先提出來希望院長到時候能夠重視是不是在法規上能夠給他解套或者民航局能夠提供更好的交通噪音排水等配套讓他們來解決那這部分問題我們在
transcript.whisperx[203].start 6540.723
transcript.whisperx[203].end 6553.954
transcript.whisperx[203].text 下個禮拜應該我會來開個公聽說明會希望我們院長跟部長我們各部會相關的能夠來解決我們航空城徵收戶這一系列的問題能夠幫他們獲得改善解決他們的問題
transcript.whisperx[204].start 6569.265
transcript.whisperx[204].end 6597.264
transcript.whisperx[204].text 好 謝謝圖宣及委員的質詢 謝謝卓院長 各部會首長的備詢 謝謝接下來我們請王美惠委員質詢現在院會報告 今天是王美惠委員過生日而且是大壽 我們掌聲
transcript.whisperx[205].start 6599.838
transcript.whisperx[205].end 6602.302
transcript.whisperx[205].text 我們感謝大家的祝福來 院長南鄉 左院長我們再請左院長
transcript.whisperx[206].start 6619.81
transcript.whisperx[206].end 6627.335
transcript.whisperx[206].text 黃委員好,一天快樂謝謝,感謝,因為在這裡,我們要先跟你談到一個美國的關稅的問題我認為川普一日三次,所以我們要有能力去跟他談判
transcript.whisperx[207].start 6639.093
transcript.whisperx[207].end 6646.581
transcript.whisperx[207].text 因為在這個過程當中,我也覺得我會出來美國對台灣的優先在第一回合開會的時候,就讓我們台灣擺進去
transcript.whisperx[208].start 6656.07
transcript.whisperx[208].end 6667.478
transcript.whisperx[208].text 所以在這個過程當中,在4月10日我們也有私訊向美國來談這個關稅的問題因為在這個過程當中,我認為最新差不多有5,000名在4月才開始我們的北省、我們的三峽的福祉林,都溫馨的歡樂
transcript.whisperx[209].start 6682.729
transcript.whisperx[209].end 6690.633
transcript.whisperx[209].text 和恐慌因為他想到未來的關稅不知道會多少所以在那裏變了變變到現在已經是對台灣10%的關稅
transcript.whisperx[210].start 6698.877
transcript.whisperx[210].end 6709.46
transcript.whisperx[210].text 英國本身在這裡跟你說這個美國的關稅對著台灣整個應該都會有影響未來你認為我們的團隊跟美國會談判的時候我相信 院長你有信心尤其中華民國的台灣會輩射2300萬人
transcript.whisperx[211].start 6726.525
transcript.whisperx[211].end 6736.979
transcript.whisperx[211].text 不管哪一棟 一定做你們的後盾所以院長 在這裏面的規定你認為未來 我們說的關稅 有人開始說 要不然我沒錢是10%你認為以後
transcript.whisperx[212].start 6745.675
transcript.whisperx[212].end 6758.062
transcript.whisperx[212].text 這九個都派去議席,但是他對美國川普的了解,他應該會對台灣挑多個選擇議席來,院長對這個四個選擇三開始,我想全世界人民跟我們一樣,都要擔一個確定的結果美國的政策
transcript.whisperx[213].start 6769.349
transcript.whisperx[213].end 6792.23
transcript.whisperx[213].text 到現在為止還一直在宣佈新的所以一日三次 包括今天早上也在宣佈所以院長在這裡本身要跟你說的就是我們也有看到 大家一半的民意代表提議說要協助 他們的中國人協助他們
transcript.whisperx[214].start 6795.086
transcript.whisperx[214].end 6816.715
transcript.whisperx[214].text 做一些他不應該做的事情像今天在報紙上看美國說公平正義對於中國來說最惡劣所以在這個過程當中我也有看到有人提議要協助中國有人提議說叫我們要跟美國來撤兵院長
transcript.whisperx[215].start 6825.356
transcript.whisperx[215].end 6834.266
transcript.whisperx[215].text 我們有需要去挑選一個合作的中國來美國來跟他請客嗎你們有需要嗎來 院長你回答一下
transcript.whisperx[216].start 6839.281
transcript.whisperx[216].end 6852.048
transcript.whisperx[216].text 要跟委員報告 總統發表的五項的策略裡面有很清楚的說明 我們不會跟美國拆除報告的這個關稅這件事不會嘛但是就是說 在這個世界沒有那個特殊裡面美國這個遇諸島的理論
transcript.whisperx[217].start 6855.41
transcript.whisperx[217].end 6864.417
transcript.whisperx[217].text 跟過去所見的風雄是相對是一樣的所以我們要在這個世界這邊的東西裡面共同合作 互相進步這個穩定之後 全世界絕大部分的地方沒有一個特殊就可以穩定下來穩定對國來的國外都是好的
transcript.whisperx[218].start 6875.629
transcript.whisperx[218].end 6884.435
transcript.whisperx[218].text 但是院長 本席在這裡請問一件事如果有提議之後 那個洗禪地的時候 這要怎麼處理我們絕對嚴厲來出題 無關心 事前事終事後絕對嚴厲出題因為台灣不能講出這個世界目的特殊重症內的一個破口
transcript.whisperx[219].start 6898.059
transcript.whisperx[219].end 6915.855
transcript.whisperx[219].text 但是這樣產生破口對於我們國內的產業絕對壞因為不僅是那些稀產地它還會大量的低價傾銷進來台灣稀產地出去是破壞我們國家的信用啊我們國家的信用就沒有了信用沒有一定關稅會跟中國一樣145%也不可能耶整個跟中國的系統一樣這是我們絕對沒有管理的而且它低價傾銷
transcript.whisperx[220].start 6925.644
transcript.whisperx[220].end 6935.833
transcript.whisperx[220].text 對我們產業大大的打擊對我們人民去吸收到安全的產品也是一個很大的考驗我們絕對會專門來提出這兩個事情所以院長在這裡本身也跟你說我們要聽過這關非常對全世界對台灣中華民國的經濟非常重要
transcript.whisperx[221].start 6947.042
transcript.whisperx[221].end 6970.632
transcript.whisperx[221].text 所以我相信你們的團隊一定會說出對台灣中華民國有利的關稅我希望條約都一直 人民也給這個時間收到一個耐心我相信我們這個談判跟這個關稅制度的條件一直是副議長在主持大家應該對有最大的認識跟最有最大的信心
transcript.whisperx[222].start 6971.325
transcript.whisperx[222].end 6995.369
transcript.whisperx[222].text 院長 我也說最近的年齡一定很好的結構啦在我們最近也有看到你的裡面的國會裡面的內閣裡面有一個公署說台灣中國一邊一邊嘛那又沒有議會說有人去那裡搞
transcript.whisperx[223].start 7001.957
transcript.whisperx[223].end 7010.162
transcript.whisperx[223].text 在這個規定當中是台灣租款內亂外犯還是聽吳同內亂外犯啊在這個規定當中 我覺得你的內閣裡面說這樣有什麼不對尤其本來就一邊一角 沒有人敢說
transcript.whisperx[224].start 7031.752
transcript.whisperx[224].end 7045.037
transcript.whisperx[224].text 院長,你認為呢?我認為這個白話文,正式說就是中華民國跟中華人民共和國互利數喔,對啦,對啦院長,在這兩天,我認為在武統的規定之中
transcript.whisperx[225].start 7051.288
transcript.whisperx[225].end 7058.213
transcript.whisperx[225].text 他用言論自由來擺脫我們的言論和自由 我覺得這是非常不應該的在一個國家裡面 你如果覺得他不好 他不要住在這裡
transcript.whisperx[226].start 7070.097
transcript.whisperx[226].end 7094.518
transcript.whisperx[226].text 要回去啦 因為我認為自由民主不是讓他們這樣會存在的啦自由民主的言論不是說你要批評你卡住這個國家所要批評的所以 店長 我先跟你說這是肥腸的重要啦
transcript.whisperx[227].start 7100.233
transcript.whisperx[227].end 7117.822
transcript.whisperx[227].text 因為我覺得有很多事關我們國家的未來所以本席今天特別做了一個我們的首集辦學專台灣中華民國的背誦看出來說我們現在台灣首當中的中國
transcript.whisperx[228].start 7121.964
transcript.whisperx[228].end 7141.783
transcript.whisperx[228].text 是我們境外敵對會設的台灣安全要靠自己去努力去努力去努力去努力去努力去努力去努力去努力去努力去努力去努力
transcript.whisperx[229].start 7144.406
transcript.whisperx[229].end 7153
transcript.whisperx[229].text 來來應變的措施尤其院長你在三月二十的時候你有說到四月初你要來開一個
transcript.whisperx[230].start 7155.171
transcript.whisperx[230].end 7166.52
transcript.whisperx[230].text 全國的會議,可以怎樣來扮演這17項措施來臨?但今天已經4月15日,我知道你也很忙,對川普的關稅、對我們的總議席
transcript.whisperx[231].start 7175.967
transcript.whisperx[231].end 7191.575
transcript.whisperx[231].text 多多嚴苛一個國家絕對不可以停台不管發生什麼事情,我們都要去處理所以本席向你問到這個開花你覺得怎麼樣?來,院長你回答一下主席啊,委員,今天總統提出的十七項因應的策略要有很多要我們當界外
transcript.whisperx[232].start 7198.922
transcript.whisperx[232].end 7226.484
transcript.whisperx[232].text 定時型的計畫 甚至要入法的修法這個部分我們已經完全整理出來上禮拜我已經主持這個會議了喔 上禮拜主持啊 因為本學生怎麼會跟你談到這個說實在的 不是院長跟總統跟我們愛好中華民國台灣的白色煩惱而已你看最近 校長也好 老師也好 教堅察也好都要批評中華民國的台灣啊
transcript.whisperx[233].start 7230.502
transcript.whisperx[233].end 7244.434
transcript.whisperx[233].text 因為我覺得這是非常重要的所以你說 每個禮拜你一定有機會所以在這個規定當中 說實在非常的歡樂所以說 我們有總統說17項的應變我們要實際去實施去用啦不是隨便而已 這樣就不好了
transcript.whisperx[234].start 7256.084
transcript.whisperx[234].end 7266.13
transcript.whisperx[234].text 總統是一個政策上的風雲出來執行的很多手法執法 計畫 都是行政一來擺國防委 區議會 政務委員也跟他們協調過未來我會主持一個會議 現在還在進行當中各位進行當中在這 院長我們想要跟你談到我們的入籍的總配在這個規定當中我們有很多改緩的 改超緩的因為這個總配
transcript.whisperx[235].start 7285.95
transcript.whisperx[235].end 7315.456
transcript.whisperx[235].text 在之前一一一天還沒站到新聞局來我們台灣生活在生活的過程當中不惜在批評台灣的不惜尤其台灣自由民主的國家不是這樣讓它糟蹋這個國家要有主權有主權才有民主有民主才有自由
transcript.whisperx[236].start 7316.092
transcript.whisperx[236].end 7325.564
transcript.whisperx[236].text 有自由 也有靈魂所以在這個過程當中 院長這個宗輩在這裡 他是無欠新聞錢這三個也一定算是他最愛的中國
transcript.whisperx[237].start 7333.019
transcript.whisperx[237].end 7347.857
transcript.whisperx[237].text 在這個過程當中,最近本縣要向你探討一件事,我們有提到新聞局,如果他同樣把這些裝備撇遍我們台灣的布市的時候,要如何去處理呢?
transcript.whisperx[238].start 7352.073
transcript.whisperx[238].end 7369.058
transcript.whisperx[238].text 報告委員 中配跟許許多多外籍入籍到國內的外籍的朋友一樣都是非常熱愛這塊土地跟我們共同的生活方式絕大多數都是如此都是這樣但是兩個 第一個他要能夠
transcript.whisperx[239].start 7369.998
transcript.whisperx[239].end 7383.173
transcript.whisperx[239].text 符合他進來台灣入籍的所有的程序這個部分過去我們有法令沒有執行我們現在加強執行我認為很多中美來到台灣都愛上台灣的自由民主的國家在這個過程當中我們的自由不是白白有天命留下來
transcript.whisperx[240].start 7390.021
transcript.whisperx[240].end 7416.476
transcript.whisperx[240].text 是前輩很多代的努力和犧牲才有辦法中華民國台灣的民主、自由所以本席要跟你說我們不是靠檢疫而已我們要再多去查辦啦因為我們台灣說實在自由民主非常得來不易啦所以在這個過程當中我也希望院長可以
transcript.whisperx[241].start 7419.827
transcript.whisperx[241].end 7433.836
transcript.whisperx[241].text 還要上市 還要好處理 像最近的工地我們說實在 我們也非常會煩惱和擔心所以後來這個時間沒有多久 我知道院長因為本縣在總結選舉的時候到尾巴 都會和你談論到台灣
transcript.whisperx[242].start 7445.243
transcript.whisperx[242].end 7459.676
transcript.whisperx[242].text 的經濟 地方的建設在這個過程當中 我們的綜藝省已經三千幾億這個統計已經是一千三百幾億是有史以來三年來很多可以說超過的在這裡的建設當中 我也覺得現場
transcript.whisperx[243].start 7473.503
transcript.whisperx[243].end 7499.989
transcript.whisperx[243].text 鐵路高架也好 棕櫥也好 清櫃也好再來市政大樓也好 這些醫生都問問院長要對教育費的照顧及關心有時候電影做不夠 還是電影的鐵路有什麼問題問問院長是不是可以套用做教育費的建設來 院長
transcript.whisperx[244].start 7502.608
transcript.whisperx[244].end 7517.501
transcript.whisperx[244].text 不過委員 那個有損的問題不是說我們有困難 包括我們旁邊這個鑑賞員 副議長 李副議長那天跟我說 聽過他講已經欠台幣2個月的電費錢了改一次改一次改一次改一次的建設這是說有損是這樣困難 但是總統有支持改一次改一次的建設
transcript.whisperx[245].start 7531.244
transcript.whisperx[245].end 7543.263
transcript.whisperx[245].text 感謝你們的支持因為是你們支持我們最主要的一項所有年來的功勞前策
transcript.whisperx[246].start 7567.015
transcript.whisperx[246].end 7571.897
transcript.whisperx[246].text 入籍中美政府依然會主控為什麼不可以婚姻就是剛才我講的那種開心文件對中華民國台灣不理的事情要怎麼處理那是最重要的好 謝謝壽星王美惠委員的質詢謝謝左院長跟部會首長備詢謝謝
transcript.whisperx[247].start 7574.448
transcript.whisperx[247].end 7575.36
transcript.whisperx[247].text 我们休息十分钟
transcript.whisperx[248].start 8201.397
transcript.whisperx[248].end 8225.568
transcript.whisperx[248].text 抱怨會我們繼續開會現在我們繼續請洪孟凱委員質詢好院長謝謝麻煩請卓榮泰院長麻煩請卓院長備詢
transcript.whisperx[249].start 8239.273
transcript.whisperx[249].end 8257.589
transcript.whisperx[249].text 主委好等待總質詢又多了兩個多禮拜不過今天我們能夠順利的來針對這個會期的總質詢我們就就事論事並且好好的來討論現在台灣面臨到的狀況上個禮拜五您的這個針對美國關稅政策因應報告作為
transcript.whisperx[250].start 8258.325
transcript.whisperx[250].end 8277.515
transcript.whisperx[250].text 我們也在台下有全程的聆聽您的一個講法但是我想有一些立場以及我們對外一致的政策方向還是要先跟院長來就教首先在你的報告裡面一開始有提到這是你報告上面的文字
transcript.whisperx[251].start 8278.254
transcript.whisperx[251].end 8303.687
transcript.whisperx[251].text 就說是川普政府他們要追求跟其他國家之間的公平互惠貿易關係他也講到驅使其他國家在貿易之中採取更公平的做法保護美國的經濟利益促進本土的產業復甦那麼說如果說在川普政府他一味的認為是說他要追求所謂更公平的做法那難道現在的做法不公平嗎
transcript.whisperx[252].start 8304.751
transcript.whisperx[252].end 8320.628
transcript.whisperx[252].text 我想美國政府會認為過多的貿易赤字對他來講是國家財政的指南那我們怎麼認為美國政府有美國政府的講法川普有川普的講法但我們怎麼認為這個是上個禮拜我在您報告裡面我聆聽了20分鐘我沒有聽到的
transcript.whisperx[253].start 8322.133
transcript.whisperx[253].end 8349.778
transcript.whisperx[253].text 我們的做法我們怎麼認為川普說現在世界各國跟美國貿易是不公平的來 下一張這段應該是在描述美國的政府的立場說法所以你的報告把美國的講法寫出來但我要知道是中華民國政府怎麼認為啊裡面有提到我們跟美國任何的談判都是在爭取國家最大的利益也是在維護產業國際競爭利益但是回歸前提
transcript.whisperx[254].start 8350.834
transcript.whisperx[254].end 8378.702
transcript.whisperx[254].text 院長我們共同面臨到是美國總統川普他是一個強人他是一個談判高手大家都知道關稅只是第一步可能之後接下來還有匯率可能接下來還有國債這都是美國政府的問題一個一個想要跟世界各國來解決但現在我們要看到的是中華民國政府我們怎麼認為美國政府講的事情是對或錯
transcript.whisperx[255].start 8379.922
transcript.whisperx[255].end 8402.208
transcript.whisperx[255].text 當川普講是說這是不公平的貿易行為的時候我們認為這是不公平的嗎我想我不宜去公開批評哪一個政府的對錯我只說我們跟美國之間沒有公開批評啊我說我不宜啦我說我們跟美國之間或我跟我們跟世界各國之間所以過去我們跟美國政府所做真的有不公平嗎
transcript.whisperx[256].start 8403.817
transcript.whisperx[256].end 8421.373
transcript.whisperx[256].text 我們希望追求的雙方互利而且貿易不要失衡的狀況底下但是我方有我方的利益點對方有對方的考量比方說我們在高科技這個產品上面如果給我們更多的優惠的情況底下會有利於我們整個產業的結構跟產業的升級跟發展
transcript.whisperx[257].start 8424.435
transcript.whisperx[257].end 8448.449
transcript.whisperx[257].text 這個是我方的利益我們跟美國順差是事實是不否認但是我們的順差建立在是因為不公平所以才造成順差嗎這個順差建立在我們在川普總統第一任的時候有大量的台商回來台灣是嘛所以這不是不公平嗎也建立在整個AI的發展起來是嘛這是我們台灣人企業的高科技的強盛嘛所以這不是不公平嗎
transcript.whisperx[258].start 8449.529
transcript.whisperx[258].end 8468.365
transcript.whisperx[258].text 那為什麼連一句我們對美國講川普總統講說這是不公平他一竿子打翻一傳台灣外公一句話叫打外逃啦他先打外逃說不公平然後再來請各位談判小組來談判如果我們順著他話講的話那我們不就是掉入他談判高手的陷阱嗎
transcript.whisperx[259].start 8469.005
transcript.whisperx[259].end 8491.03
transcript.whisperx[259].text 我一定放心我們當然不會掉入一個你認為的陷阱或是我們沒有考慮到的問題我們不會掉入到那個問題裡面院長我先請教所以之前美國總統川普也講說台灣偷走半導體產業他要把它給拿回來這句話你認同嗎台灣的半導體領先產業在國內保持所以台灣有偷嗎
transcript.whisperx[260].start 8492.125
transcript.whisperx[260].end 8511.608
transcript.whisperx[260].text 我們一定在國內保持繼續最領先的這個地位所以台灣沒有偷嘛對全世界來講台灣沒有偷沒有偷我們跟世界充分的合作我們在製造上面的這個發展是大家所肯定的但研發過程或許要互相的學習院長這就本席先提出來在您上禮拜五的報告裡面
transcript.whisperx[261].start 8512.449
transcript.whisperx[261].end 8527.102
transcript.whisperx[261].text 沒有看到我們針對川普總統一開始所講所謂的不公平所謂的偷半導體偷晶片等相關做出很強硬具體而且捍衛我國主張立場的說法
transcript.whisperx[262].start 8527.802
transcript.whisperx[262].end 8546.832
transcript.whisperx[262].text 再來對不起也許我有一些看到我們有很多的敘述但是我認為我們的重點在於解決的方法院長我也想要知道解決方法所以現在賴清德總統也說了我們已經有第一階段的談判嘛是不是好不就細節因為我知道這個談判會一而再再而三但是我們預期會有幾階段談判
transcript.whisperx[263].start 8548.417
transcript.whisperx[263].end 8572.546
transcript.whisperx[263].text 預期會有幾階段這無法預期我們只知道說我們現在4月11日要開始的視訊會議我們的視訊會議如果牽扯到機密你不用回答我們視訊會議現在官員成績到多少官員成績因為我知道說我們的談判小組現在是由副院長來做領導嘛副院長依法過去到現在立院是沒有邀請他上備巡台
transcript.whisperx[264].start 8573.305
transcript.whisperx[264].end 8599.626
transcript.whisperx[264].text 那所以我想邀請可能沒有辦法跟委員報告從台美經貿請教第一次的視訊會議副院長有主持嗎台美經貿專案小組都是副院長在主持那對外談判對外談判的總負責人就是我們的政委談判代表楊振尼政委這是我們一直對外的這個分工王政委所以當天第一次的這個談判視訊談判王政委主持
transcript.whisperx[265].start 8600.576
transcript.whisperx[265].end 8617.423
transcript.whisperx[265].text 楊振尼政委基於雙方的默契我想美方也沒有說他們的談判代表是誰我們也沒有在打破這個默契這是一個團隊好 本席想要了解的是因為現在看得出來是川普總統在主導一切的政策
transcript.whisperx[266].start 8618.183
transcript.whisperx[266].end 8645.495
transcript.whisperx[266].text 那我們來看一下最近亞洲 日本跟我們很直接嘛日本即將在18號正式要有談判那過去我們也看到新聞是日本首相跟川普總統直接面對面的談判這可能就直指核心啦我們打蛇打青春 情蛇牽情網啊那談判過程一定是這樣子那我們現在還沒有辦法了解說我們的成績到多少但是我們只有政委是主要的談判負責人
transcript.whisperx[267].start 8646.343
transcript.whisperx[267].end 8674.991
transcript.whisperx[267].text 他是一個團隊 我的政委是我們的總談判代表團隊嘛 但是我們最高就是政委嘛 是不是這樣他是我們的總談判代表好 總談判代表就是我們的楊政委 是不是但日本現在看起來是他們的首相而且日本的首相在對他們的國會裡面講他講說不會妥協 並且說報復性的關稅選項也沒有被排除當然 他事前先講是說報復性的關稅不符合國家利益但是沒有排除
transcript.whisperx[268].start 8676.159
transcript.whisperx[268].end 8700.761
transcript.whisperx[268].text 對比我們現在我們自己一直在強調說我們到底籌碼還有多少那我想請教一下院長我們到目前為止我們現在盤點我們手中的籌碼我們的談判進行的成果你覺得會是比日本好還是比日本差如果當年我們不是被排除或是主動退出聯合國我也會努力現在打電話給川普總統院長
transcript.whisperx[269].start 8703.223
transcript.whisperx[269].end 8729.662
transcript.whisperx[269].text 我們現在在講2025年的關稅你跟我講是1976年1974年的事情石破首相跟川普總統直接對談可不可以面對問題解決問題我們來focus在現在的問題我從開始到現在我一直強調的是說我們怎麼樣能夠增加我們的談判籌碼我們來努力我現在在講的是日本首相他有提到他也跟國內講了
transcript.whisperx[270].start 8731.283
transcript.whisperx[270].end 8755.7
transcript.whisperx[270].text 他講說報復性的關稅沒有排除但不會是他的優先選項對比我們中華民國一開始就講說不會採取報復性的關稅那是不是我們就少了一個可以談判的工具跟籌碼沒有 但我們還是進到第一輪最優先的談判的地位去啦院長 本席就事論性和理性的跟您討論
transcript.whisperx[271].start 8757.488
transcript.whisperx[271].end 8769.193
transcript.whisperx[271].text 現在看到川普總統有講說甚至有可能有些國家可以有10%豁免的關稅我們有沒有機會爭取到當然這個都是從談判的立即點開始談起的
transcript.whisperx[272].start 8770.688
transcript.whisperx[272].end 8787.841
transcript.whisperx[272].text 總統說我們從零關稅談起就是一個態度我們不會採取報復這也是一個態度如果不是這樣子的話我們有可能現在就排在後面也許我們排在145去了但是我們沒有我們就站在最優先的地位只要我們備足了我們自己的方案我們的談判代表團
transcript.whisperx[273].start 8789.963
transcript.whisperx[273].end 8803.641
transcript.whisperx[273].text 跟談判的時間準備出來我們就可以談判了一直講說台美關係最好一直講說台美的夥伴關係最佳結果居然講是說原來我們可以進入到第一階段談判是因為我們先接受零關稅談起
transcript.whisperx[274].start 8805.183
transcript.whisperx[274].end 8830.387
transcript.whisperx[274].text 我們沒有這樣講 這是一個談判的態度如果說沒有的話 我們沒有宣布零關稅的話我們就是145名以後嘛所以到底哪一句話是真的我想這是要讓國人知道因為2350萬人共同面對 共同承擔你說我們要面對事實嘛 總統講出來的話從零關稅談起 我們現在採取報復所以我們事實就是站在最優先的地位說實在話 我們再來討論一下
transcript.whisperx[275].start 8834.076
transcript.whisperx[275].end 8860.633
transcript.whisperx[275].text 我們的籌碼還有哪一些半導體是我們很重要的籌碼嗎我認為我們籌碼第一個是我們有高科技的國家力量是沒有錯第二個我們應該有的籌碼是國內團結當然所以我到現在為止跟您都講的是我們對外一致中華民國對國內我跟你政黨立場不同但是對國外我們一致對外就是以中華民國為台灣兩千三百五十萬人的利益為優先這一點請您記得來請看一下
transcript.whisperx[276].start 8862.76
transcript.whisperx[276].end 8889.279
transcript.whisperx[276].text 輝達昨天有宣布說他要斥資攜手台積電攜手鴻海攜手偉創宣布五千億四年的美國投資想請教台積電 鴻海 偉創這一些他是多增加五千億還是說是之前跟台積電一樣就是宣布他在美國投資一千億美元有沒有掌握這個因為昨天晚上
transcript.whisperx[277].start 8890.538
transcript.whisperx[277].end 8911.364
transcript.whisperx[277].text NVIDIA這樣的宣布嘛那國內的廠商要到國外去做任何的投資都要經過投審會投審機制沒錯所以也還沒有經過投審會當然昨天晚上到現在是沒有經過投審會那輝達已經先宣布了五千億台積電、偽創、鴻海至少輝達裡面就已經講到這三家大型企業也是我們國內非常重要的企業
transcript.whisperx[278].start 8912.264
transcript.whisperx[278].end 8936.152
transcript.whisperx[278].text 那我們現在也過了您剛講了從昨天晚上到現在也過了至少12個小時有沒有去了解掌握詢問到底是多增加投資還是跟之前台積電所宣布的1000億或是美國總統川普把他宣布的2000億是重疊的民間企業要對國外去投資是他來申請不是我們去問他他們是一般的民間企業嗎
transcript.whisperx[279].start 8938.033
transcript.whisperx[279].end 8948.531
transcript.whisperx[279].text 理論上他程序是要如此啊我們的籌碼是我們的籌碼是我們的高科技這是您剛開公名義的第一個籌碼結果我們現在籌碼被回答先喊了
transcript.whisperx[280].start 8949.56
transcript.whisperx[280].end 8973.353
transcript.whisperx[280].text 如果說是我們談判的過程裡面我們講說我們的台積電、鴻海跟偉創可以去投資會不會更有談判的空間?你也應該知道啊世界各國跟這一次美國關稅在計算的過程當中過去什麼樣的合作都不影響它那個公司的計算那我們過去最怕什麼?過去最怕說台積電去美投資一千億會連動所謂的鴻溪效應
transcript.whisperx[281].start 8976.792
transcript.whisperx[281].end 9003.82
transcript.whisperx[281].text 就是把上中下游廠商一起帶過去這有它產業的需求跟考量是 所以現在是不是已經看到這樣的一個起步了如果說輝達去 鴻海去 台積電去 偉創去那您一直跟我講說昨天晚上的事情但是從昨天晚上到現在已經12個小時了你難道沒有認為是說應該要了解一下請經濟部 請我們相關的部會去了解一下我知道你的心急啦是 當然急啊
transcript.whisperx[282].start 9005.14
transcript.whisperx[282].end 9009.928
transcript.whisperx[282].text 不實際 昨天的晚上是我們的晚上我們現在白天是對方的晚上院長
transcript.whisperx[283].start 9010.865
transcript.whisperx[283].end 9039.409
transcript.whisperx[283].text 我們不要做這種細節我們鴻海台積電偽創在國內沒有研發中心沒有營運總部嗎對 但是在美國的宣布他們必須用程序來跟政府做說明但你不能要求12個小時以內我沒有不合理的要求是因為這是國人大家共同所關心的事情因為我們現在面臨到的是整個世界的挑戰跟變化院長我希望但是我們要穩住我希望
transcript.whisperx[284].start 9040.273
transcript.whisperx[284].end 9068.253
transcript.whisperx[284].text 本席所提出來的疑問都可以獲得您的解答每個人本席站在這邊代表的是人民本席站在這邊為人民發聲本席站在這邊是希望人民的聲音能夠被行政部門聽到並且獲得解答院長所以今天早上經濟部部長有受訪的時候講到是說假扣動假報吃苦當吃補台灣人不都是這樣嗎
transcript.whisperx[285].start 9069.537
transcript.whisperx[285].end 9094.722
transcript.whisperx[285].text 您覺得這算不算失業還是預告我們的苦日子要來了沒有 我覺得這個是當我們面對一個挑戰的時候你如果是有健康的態度面對它而不是懷憂喪志而必須絕對沒有懷憂喪志但我們要超前部署我們要正向 積極 陽光 專業這才是重點啊像4月3號以前我們就把所有關稅可能的推估算出來這就是超前部署
transcript.whisperx[286].start 9095.262
transcript.whisperx[286].end 9109.11
transcript.whisperx[286].text 但是一出來之後我們不會馬上第一時間就有簽訂的報告但現在很遺憾的是當本席從質詢到現在15分鐘我都還沒有獲得你正式正面的一個回答再來 我想請教 院長
transcript.whisperx[287].start 9110.843
transcript.whisperx[287].end 9138.588
transcript.whisperx[287].text 現在有委員不管藍營立委綠營立委甚至有產業界也都有建議我們現在談判小組當然政委他可能有他的專業但是以國際形勢瞬息萬變來講以及我們真的希望是能夠直指核心跟川普總統來去做一個溝通跟談判有人建議是說是不是能夠敦請我們前總統蔡英文女士來擔任我們的談判小組召集人
transcript.whisperx[288].start 9140.188
transcript.whisperx[288].end 9165.1
transcript.whisperx[288].text 您的聲音我們都聽見了各方的聲音我們都聽見了但是基於現在您覺得合不合適我們跟美國的這種關係第一 蔡英文總統 陳總統她的英文非常流利絕對沒有問題第二 她應該算是我們中華民國史上元首我們以前先不講 民選元首直接跟美國總統通過電話的人蔡前總統的語文 她的談判能力她的國際視野以及對國內政務的賢熟度
transcript.whisperx[289].start 9169.015
transcript.whisperx[289].end 9187.914
transcript.whisperx[289].text 絕對沒有問題但是現在國家的外交途徑我們要跟國外任何一個國家進行交涉我們都必須就人選互相有默契所以是美國不接受蔡英文前總統我們沒有這樣說那你剛又講說跟國家有默契那我們現在不就是跟美國談判嗎
transcript.whisperx[290].start 9189.235
transcript.whisperx[290].end 9217.085
transcript.whisperx[290].text 我們現在已經啟動了談判是那我們現在講是說如果說有更有代表性甚至更能夠直接溝通會不會更能夠對於我們中華民國為我們台灣取得一個優秀的位置那現在是卓院長不願意去去拜託蔡英文前總統還是賴總統不願意拜託蔡英文前總統我想蔡英文前總統會非常了解今天委員對他的肯定
transcript.whisperx[291].start 9219.977
transcript.whisperx[291].end 9239.346
transcript.whisperx[291].text 你非常肯定蔡前總統全國人民都知道了謝謝你沒有問題我說實在話面對問題我們解決問題我確實蔡英文前總統她的英文能力我剛講了以及她跟川普總統通過電話這如果能夠為我們中華民國爭取到更有利的位置何樂而不為
transcript.whisperx[292].start 9240.186
transcript.whisperx[292].end 9260.043
transcript.whisperx[292].text 當然啊這就是我們現在要凝聚以及我們要展現的籌碼但我覺得很遺憾的是很多東西是我們有籌碼可是我們民進黨政府好像不願意用來 籌碼不是擺在桌上賭徒才會把籌碼擺在桌上我們不是賭徒我們不是在做一場世界性的大賭博
transcript.whisperx[293].start 9261.513
transcript.whisperx[293].end 9271.804
transcript.whisperx[293].text 我們在做世界性的大補賭我們不是賭徒才會把籌碼擺在桌上我實在沒有辦法聽得懂你的這樣的一個講法因為被本席來講這絕對不是一場賭博被本席來講台灣的產業發展我們的中小企業我們的農業我們的相關產業絕對不是賭博
transcript.whisperx[294].start 9282.315
transcript.whisperx[294].end 9304.534
transcript.whisperx[294].text 如果你以賭博的心態來看待的話我覺得非常的遺憾而且我覺得會非常的危險我們的籌碼是放在我們應該放的地方不是擺在這裡討論的我再請教880億現在有講是說要延後一個禮拜提出來那我們也看到之前其實特別預算編列有
transcript.whisperx[295].start 9305.287
transcript.whisperx[295].end 9332.483
transcript.whisperx[295].text 那時候是超徵稅收所以說我們有編列了一個特別預算條例那時候還是用易後強化經濟跟社會韌性以及全民共享經濟成果特別條例這時候你應該了解嘛到最後是3800億的一個規模分三個部分有普發現金有補助台電以及有所謂的這個易後的重建跟補貼等等那我們現在請教一下我們現在要提出來這880億
transcript.whisperx[296].start 9334.656
transcript.whisperx[296].end 9344.758
transcript.whisperx[296].text 的特別預算預計也是採取用特別條例的方式對吧必須要有特別條例是那什麼時候會提出來呢什麼時候會提出來
transcript.whisperx[297].start 9346.482
transcript.whisperx[297].end 9374.17
transcript.whisperx[297].text 我們一開始提出了880億的支持方案結果有人說我們大傻逼有人說2000億我們又跟產業界進行了各種不同的方式的溝通產業界又給了我們一些意見所以我們重新再整合這樣的一個基礎跟規模把產業界的意見加進來我們現在努力在下個禮拜盡快能夠通過一個特別條例出行政院
transcript.whisperx[298].start 9375.282
transcript.whisperx[298].end 9382.854
transcript.whisperx[298].text 下個禮拜會通過特別條例那規模會是比除了880億以外還會不會增加其他的部分其他的
transcript.whisperx[299].start 9385.174
transcript.whisperx[299].end 9411.349
transcript.whisperx[299].text 盤點這幾天跟產業界的這個座談所以預計會有多大的規模目前我還沒有辦法說一個我們就是以八百八十億當作基礎當作這個架構我再看一下上次的一個特別條例到最後裡面是有包含這也是行政院之後提出來的有包含補發現金六千塊所以有一千一百多億有包含補貼是一千三百七十億以及補助台電一千億
transcript.whisperx[300].start 9412.386
transcript.whisperx[300].end 9432.825
transcript.whisperx[300].text 所以我們在這次的這個特別條例裡面會有其他的方向嗎有符合現在這個趨勢所需要的我們會考量產業界的需求跟國人的需求所以本期可以就院長剛剛講這一段話來推估有可能推出的特別條例的原額額度比880億還要高
transcript.whisperx[301].start 9434.677
transcript.whisperx[301].end 9446.067
transcript.whisperx[301].text 目前有這個可能但是還沒有做任何的定案好那再來15個縣市長上個禮拜也開了一次會並且有四大建言我看到院長接受這個
transcript.whisperx[302].start 9448.186
transcript.whisperx[302].end 9469.304
transcript.whisperx[302].text 媒體詢問的時候講了一句話說對的事情大家一起談我其實是認同的還有一句話沒有講這不對的事情就不要拿來談不對的事情不要拿來談那對的事情什麼是對的事情什麼是不對的事情也不是您認定也不是大家認定而是我們一起共同集思廣益想方法
transcript.whisperx[303].start 9469.924
transcript.whisperx[303].end 9484.53
transcript.whisperx[303].text 我想院長不應該那麼的一個威權的態度認為是說在野或者是縣市長所提出來的對與不對我想我們不要用這樣子一個判斷我們跟產業座談也是要得到更多這樣的意見所以15位縣市長代表性算足了吧地方父母官2022年的民意選出來並且他們第一線的去
transcript.whisperx[304].start 9496.631
transcript.whisperx[304].end 9522.291
transcript.whisperx[304].text 溝通了解產業的需求即便15個縣市長跟院長可能是不同黨派但畢竟他也服務超過三分之二台灣的人口數那15個縣市長所提出來的這個意見我覺得院長真的應該要好好的來談一談我們都充分了解他們提出的意見你說你不了解我們都充分了解充分了解 好那其中有提到 既然要談
transcript.whisperx[305].start 9524.364
transcript.whisperx[305].end 9545.933
transcript.whisperx[305].text 裡面包括說普發現金的建議包括說召開國事會議您認為呢我記得他提了七項還幾項意見吧四大項其中有一項就是說國事因為你認為是說對的事情大家一起談嘛那我剛剛聽你的這個詢答裡面也不認為是說所有提出來這四大項
transcript.whisperx[306].start 9547.489
transcript.whisperx[306].end 9554.061
transcript.whisperx[306].text 都不能談嘛那既然要談大家應該要坐下來談啊那國事會議現在建議召開國事會議趕快縣市長不只藍營縣市長綠營縣市長
transcript.whisperx[307].start 9558.837
transcript.whisperx[307].end 9578.434
transcript.whisperx[307].text 都一起來談我剛剛說說是盧市長中部八個縣市提出的七項建議侯市長新北市他也提出了四項建議那張善政市長桃園他也提出好像有四項建議然後上禮拜四十五個縣市長也提出了建議一二十項的建議我們都把它充分了解放在一起要不要談要不要談
transcript.whisperx[308].start 9579.565
transcript.whisperx[308].end 9603.167
transcript.whisperx[308].text 哪一件你對的事情大家一起談啊這是你講的啊我們會找當中對的事情好好的來談好對所以現在講是說要召開國事會議您的態度是什麼國事會議應該不是我一個人決定開不開的問題是那您覺得要有社會的共識國事會議是要總統啊對啊但重點在於說您要不要建議總統是說是不是應該大家來溝通
transcript.whisperx[309].start 9605.43
transcript.whisperx[309].end 9626.217
transcript.whisperx[309].text 我們已經過去到現在已經討論有很多重大方向跟決策我也肯定你的講法啊對的事情大家一起談但重點是現在談要不要有一個方向要不要一個會議要不要一個做法您可以在討論相關事件的時候也找在野黨來溝通三黨團也都到行政院溝通嘛
transcript.whisperx[310].start 9626.909
transcript.whisperx[310].end 9653.419
transcript.whisperx[310].text 那現在15個縣市長站出來我們是不是應該也要有正向回應15個縣市長的訴求我們都相信總統也看到了這個剛剛您說的這幾項的建議那至於該怎麼做我們現在這個禮拜你也看到最重要的是準備跟美方談判的所有的過程這個不是國事會議可以取代的所以我們先把眼前該做的事情把它做好院長
transcript.whisperx[311].start 9657.124
transcript.whisperx[311].end 9669.759
transcript.whisperx[311].text 國政多如牛毛但絕對沒有哪一個優先哪一個順序你剛剛就有講到你的特別條例下個禮拜要提出來
transcript.whisperx[312].start 9670.643
transcript.whisperx[312].end 9692.532
transcript.whisperx[312].text 那是不是就已經在一起來進行美國的談判很重要我們國內的特別條例很重要相關的治安相關的國內的發展也很重要所以這是每一個委員站在這邊因應不同面向因為每一個委員有每一個選區不同的想法不同的考量都要提供給您而不是一竿子的否定院長我想請教到目前在一個月左右
transcript.whisperx[313].start 9699.284
transcript.whisperx[313].end 9726.537
transcript.whisperx[313].text 就是520也就是內閣團隊上任一週年到目前為止你有沒有看到今天最新的民調不管是賴總統或是您自己我們來看一下幾張再來支持度上任以來最低次低啦上任以來次低但是看起來它也接近了這個交叉點
transcript.whisperx[314].start 9728.254
transcript.whisperx[314].end 9740.988
transcript.whisperx[314].text 那520即將到來你認為隔園也好或是我們整個團隊有沒有需要調整的必要隔園在將近11個月的過程裡面都非常的認真但面對所有的問題我當然
transcript.whisperx[315].start 9743.155
transcript.whisperx[315].end 9766.73
transcript.whisperx[315].text 會不會調整我們不會沒有可能把所有的事情做得圓滿當然當中有值得檢討的地方值得檢討的地方那會不會調整因為一年時間到了國人會期待看到我們的週年成績單我不知道說在520的時候你可以拿出什麼樣週年成績單來說服國人讓國人的滿意度提升但另外一個部分是我們的內閣團隊有沒有調整的計畫方向
transcript.whisperx[316].start 9767.967
transcript.whisperx[316].end 9769.329
transcript.whisperx[316].text 我必須很鄭重的要求你我鄭重的敬告
transcript.whisperx[317].start 9783.411
transcript.whisperx[317].end 9807.667
transcript.whisperx[317].text 本席站在這邊問的都是人民所關心的議題如果說你用那麼輕描的態度說這樣問不會有答案那這樣子是質詢嗎這樣是質詢的精神嗎我沒有講特定人我沒有指名道姓誰我現在只是問你說有沒有調整的方向連這樣子你都這樣子都可以傲慢的不回答我剛剛跟你說了大家都很努力但是不是每件事情都做得很好我們必須檢討來
transcript.whisperx[318].start 9809.451
transcript.whisperx[318].end 9838.656
transcript.whisperx[318].text 那人事的部分有一個東西你總是可以回答了NCC的委員什麼時候要提出來這個我自己要檢討我盡快把它提出來確實喔來 院長去年11月28的時候我們行政院就講了卓龍泰緊鑼密鼓的爭取中到現在四個半月過去了名單沒有出來我們嘗試很多但是遇到很多的困難說真的為什麼
transcript.whisperx[319].start 9842.009
transcript.whisperx[319].end 9857.114
transcript.whisperx[319].text 徵詢是大家不願意還是你徵詢的人還是不夠專業怕名單提出來之後被大家覺得說否定我們徵詢的對象一定是符合一定的專業程度好 那你有跟誰討論我想在場有NCC代理主委啊
transcript.whisperx[320].start 9858.582
transcript.whisperx[320].end 9873.36
transcript.whisperx[320].text 來有跟代理主委溝通嗎說我現在名單還沒有完成那NCC的業務會不會停擺有沒有關心過我一直要把這個人事給他補上來但是很多談的他當然有基本的專業的程度但是
transcript.whisperx[321].start 9873.8
transcript.whisperx[321].end 9891.369
transcript.whisperx[321].text 所以我們中華民國兩千三百五十萬人沒有符合院長標準要求的四位人選為什麼四個半月提不出來來我們看一下因為代理主委說我不清楚啊行政院沒有找他討論啊
transcript.whisperx[322].start 9892.955
transcript.whisperx[322].end 9917.543
transcript.whisperx[322].text 所以院長你自己也不找現在代理主委討論然後就讓NCC的委員名單一直提不出來你如果說沒有提出來立法院連審都沒有辦法審你了解吧我了解好再來因為人數不足所以現在空轉37家頻道面臨了換照問題怎麼辦誰要負起責任我還在努力盡快把它找一個人出來那什麼時候可以提出來
transcript.whisperx[323].start 9919.242
transcript.whisperx[323].end 9933.627
transcript.whisperx[323].text 醜媳婦總要見公婆那本席期待的其實你謹慎是好事啊如果說你三個月的時間謹慎提出專業合乎大眾需求標準的名單我想立法院沒有否決的理由
transcript.whisperx[324].start 9934.178
transcript.whisperx[324].end 9953.015
transcript.whisperx[324].text 但最怕的就是你提出來的名單是不夠專業或是讓大家覺得就像過去一樣是因人設事 因黨設事那當然我們就有審查的空間可是我們現在要講的是四個半月過去了那請教院長 現在總質詢什麼時候可以提出來非常抱歉 我們找的人一定符合相當的專業水準
transcript.whisperx[325].start 9953.655
transcript.whisperx[325].end 9969.744
transcript.whisperx[325].text 所以要繼續空轉他未來的工作他相當有過濾那會讓NCC繼續空轉嗎沒有我們盡量努力那盡量努力什麼時候提出來如果我可以說個時間我希望這個月份我能夠提出來這個月這個月所以只剩兩個禮拜會不會跳票不會吧
transcript.whisperx[326].start 9970.529
transcript.whisperx[326].end 9990.904
transcript.whisperx[326].text 院長你在總諮詢的承諾不要跳票兩個月四月底以前我們看到您提出來的名單可以嗎我已經在準備差不多好了但是最後差一點點的功夫最後院長我們還是看一下現在最近的共諜案共諜案的部分我想
transcript.whisperx[327].start 9992.133
transcript.whisperx[327].end 10015.441
transcript.whisperx[327].text 中華民國是我的國家台灣是我的家園任何人想要消滅中華民國我都反對共產黨要消滅中華民國我反共台獨想要消滅中華民國我反台獨因為這就是我們的國家我們大家一起安身立命但現在我們看到民進黨政府從總統府從黨部從外交部都有共諜的發聲
transcript.whisperx[328].start 10017.081
transcript.whisperx[328].end 10041.731
transcript.whisperx[328].text 這樣的狀況很多人在講啊是不是還有更大咖我們現在有沒有針對這部分因為我覺得這非常的重要國安議題但是也是我們現在各部會大家共同要面對的有沒有專案小組或說來了解現在到底還有多少有可能潛在的共諜就因為我們之前已經發現了這樣的威脅所以總統才在第二次國安會議當中會不會還有更大咖
transcript.whisperx[329].start 10070.522
transcript.whisperx[329].end 10072.182
transcript.whisperx[329].text 接下來我們請登記第50號劉建國委員質詢 鄭振淺委員請準備
transcript.whisperx[330].start 10098.806
transcript.whisperx[330].end 10113.815
transcript.whisperx[330].text 謝主席 邀請卓院長麻煩再請卓院長備詢劉仁豪 院長辛苦
transcript.whisperx[331].start 10115.333
transcript.whisperx[331].end 10143.392
transcript.whisperx[331].text 院長要撐住啊更要挺住國人都挺住我們一定跟國人一起站在一起挺住那你挺住的力道要特別特別的大然後率領我們所有的這些閣員一起大家共同挺住因為面對台灣內有國會的不正常外有川普的千變亂化所以這是急劇挑戰那我個人
transcript.whisperx[332].start 10144.192
transcript.whisperx[332].end 10170.198
transcript.whisperx[332].text 一直感覺啦,我的感受是這樣子這個比疫情的時候更加的嚴重甚至以挑戰的面向會更多、更廣然後擔任行政院的院長基本上要率領各位面對這樣的一個挑戰跟衝擊所以我才會特別跟院長講說一定要挺住啦,要撐住啦
transcript.whisperx[333].start 10171.274
transcript.whisperx[333].end 10199.569
transcript.whisperx[333].text 你看在4月13號你特別攔下到高雄去跟產業界來座談那現在這個關稅站已經慢慢有這個弧線兩件事情就請教院長第一個這個AI的產業中最重要的核心顯示卡等這類的電子零組件已經開始準備在漲價那未來他可能有相關的這些骨牌的效應會持續的一直延伸下來
transcript.whisperx[334].start 10200.56
transcript.whisperx[334].end 10224.088
transcript.whisperx[334].text 那最後可能會導致衝擊到民生的經濟萬物皆漲行政院要如何做因應這是第一件事情那第二件事情曾經也是我們行政院的副院長現在是高雄市的連任的市長與你一起參加座談會的時候特別當你的面提出來希望可以調降這個存款的準備率
transcript.whisperx[335].start 10225.129
transcript.whisperx[335].end 10246.888
transcript.whisperx[335].text 院長當然有做一個簡單的回應,千里華動全身,院長到目前為止有沒有什麼改變?有沒有什麼因應之道?因為畢竟是同黨的,直轄市執政的首長來對你提出這樣建言,這個社會相當關注,請院長簡單回顧這兩件事情。
transcript.whisperx[336].start 10248.8
transcript.whisperx[336].end 10261.761
transcript.whisperx[336].text 好的 第一件我們在伺服器跟顯示卡是在我們資通訊產業電視產業當中在蘇美最重要的大宗產品之一它一旦關稅加重於現在的負擔對整個
transcript.whisperx[337].start 10264.986
transcript.whisperx[337].end 10287.26
transcript.whisperx[337].text 這個產業鏈來講都是一個成本的增加所以我們在支撐的產業的需求方面我們就提出了支持的計畫從各方面來協助大家能夠轉移市場開發市場進行研發甚至做其他更多的行政上的一個成本的降低等等這是第一個部分但是我們會把它列為很重要因為台灣不只支持有高科技業
transcript.whisperx[338].start 10288.997
transcript.whisperx[338].end 10300.316
transcript.whisperx[338].text 影響帶的這個中小企業傳統企業更是重要更是影響更大那第二個問題是那天陳其邁市長提到的這個問題那就是那幾天當中
transcript.whisperx[339].start 10301.499
transcript.whisperx[339].end 10323.978
transcript.whisperx[339].text 不是第一次聽到這個建議所以回來我馬上有跟我們央行的總裁 楊總裁我請教他說這個真的是牽一髮而動全身對銀行來講可能讓他的資金更寬鬆 更餘裕但對市場來講會不會產生一個什麼樣的訊息對金融的安全會不會產生一樣什麼樣的訊息我請央行總裁能夠
transcript.whisperx[340].start 10325.157
transcript.whisperx[340].end 10348.119
transcript.whisperx[340].text 去理性的內部討論這個事情所以還沒有做最後的結論你可以問一下央行總裁我還是請院長可能要快速因應因為千變萬化的川普我們要如何去做最快速的積極的因應真的是還是有老院長的智慧那第二件事情再過15天我們就要報稅那院長已經有責成財政部針對這次的報稅可以延到6月底
transcript.whisperx[341].start 10348.599
transcript.whisperx[341].end 10374.91
transcript.whisperx[341].text 但是這個面向不寬不管如果面對過去的疫情來講對照過去的疫情來講基本上它延長的時間還有面向包含可能會有人被減薪減班甚至有失業甚至會造成一些衝擊是不是可以再折騰財政部這邊能針對在這個報稅的過程裡面可以朝向更寬敞的時間然後甚至也可以提出這個分期的這樣的一個繳稅可不可以
transcript.whisperx[342].start 10375.842
transcript.whisperx[342].end 10383.974
transcript.whisperx[342].text 過去疫情期間曾經有過這樣的歷史我想那個時候主要是要減輕大家的負擔之外一個重要因素是讓大家不要群聚
transcript.whisperx[343].start 10385.02
transcript.whisperx[343].end 10403.811
transcript.whisperx[343].text 免得這個疫情擴大這一次我們也是一樣除了希望大家能夠紓解一下壓力之外就在這段時間讓所有的廠商或是個人盡量去面對關稅做內部公司產業的自我調適把重要的時間精神放在這裡報稅的部分可以往後延一下讓大家能夠習慣這個動作所以
transcript.whisperx[344].start 10407.386
transcript.whisperx[344].end 10427.551
transcript.whisperx[344].text 往後延增加一個月並不是降稅啦 是增加時間但這個也會增加我們財政部相當多的成本那天部長有跟我說明這個事情我說該吸收我們就吸收 這個沒有問題對 我當然不是講降稅 我是講說延後報稅嘛這時間能不能再往後延 不是只有一個月的時間啦能不能 針對失業的 針對減班的 針對相關衝擊的產業
transcript.whisperx[345].start 10431.015
transcript.whisperx[345].end 10458.972
transcript.whisperx[345].text 可以嗎跟委員報告您提的是報稅就是所得稅的結算申報原來是在五月份一個月那現在延長到六月底的時候有兩個月可以去申報但是如果他受到這個有關財務上的衝擊的話那他可以去申請延期繳稅也可以做分期繳稅分期那我們可以分36期就分三年來繳稅所以申報已經寬了一個月然後繳稅期限也可以讓他往後延
transcript.whisperx[346].start 10459.352
transcript.whisperx[346].end 10485.133
transcript.whisperx[346].text 分期這個我都很清楚我強調是延長延長分 延後就像你講的五月六月我們五月底我們現在可以延到六月底能不能再延嘛它是申報 這是申報的動作那繳稅的話可以申請延期或者是三年期間的分期這樣子讓它可以減輕有關資金上的壓力我們現在同意報稅延長一個月嘛 對不對沒有錯嘛能不能面對這幾個我剛剛講的狀況可以再延長
transcript.whisperx[347].start 10488.476
transcript.whisperx[347].end 10504.91
transcript.whisperx[347].text 我這樣的題目很清楚嘛,能不能研議嘛是,我想這個部分我們會用從寬從幽的方式來處理好啦,就請院長是不是可以就哲程來做一些相關的研議啦,可不可以應該可以吧我想申報應該可以,他可以先申報嘛,對
transcript.whisperx[348].start 10506.192
transcript.whisperx[348].end 10530.517
transcript.whisperx[348].text 我們不需要糾結這個事情好不好,我覺得這樣很奇怪你們就可以主動去延長申報到六月底,原本是五月底嘛那我想因為剛剛特別提到跟院長提醒讓他們了解這個事情相關的一些衝擊慢慢在弧線的,在弧線的過程裡面我們希望讓這些產業可以專注他去應應這些衝擊所以他報稅的期間能不能再延長再寬鬆一點
transcript.whisperx[349].start 10531.437
transcript.whisperx[349].end 10549.945
transcript.whisperx[349].text 就這樣而已啊我跟委員報告現在因為他整個電腦程式程序都要更改目前更改的程式就是到六月底那我也希望說這個時候大家能夠請委員長我們就已經有更改到月月底那我剛剛特別提到AI的相關的一些零組件都已經受到衝擊了已經在浮現了那我跟委員長打呼我的
transcript.whisperx[350].start 10550.405
transcript.whisperx[350].end 10578.602
transcript.whisperx[350].text 希望他們可以專注在來應對這次的關稅所以報稅我們才會主動的延長到多一個月時間嘛對不對能不能在未來可能會再遇到相關的產業可能會有馬上立即的這樣的衝擊是不是可以再有更長的一個緩衝的時間給他們來做申報就這樣而已啊第一個我希望我們這個形勢能夠迅速的趨向穩定下來大家能夠在這個時間內完成再來
transcript.whisperx[351].start 10580.54
transcript.whisperx[351].end 10598.81
transcript.whisperx[351].text 一直往後延對我們國家的現金的流動是有一些影響的我們糾結在這個地方不對啦我是講說可能會立即受到衝擊的這些三文產業因為我們要做很快速的應變嘛我們今天已經馬上應變可以全部都可以延長一個月對不對你已經做這個應變了啊
transcript.whisperx[352].start 10600.191
transcript.whisperx[352].end 10625.056
transcript.whisperx[352].text 我是講說有些敏感的產業 特殊的產業立即會產生到如同我剛剛跟你講的AI相關的這些零組件是不是大家還有更長的一個緩衝擊來做申報能不能嚴厲嘛 你就打火葬就好了啊能不能嚴厲 不用馬上答應嘛我們現在延這個時間都設計好了如果到六月的時候真的有情況發生我們當然會預先來做預判我們就朝向可以嚴厲來做相關的運營了好不好
transcript.whisperx[353].start 10626.076
transcript.whisperx[353].end 10648.252
transcript.whisperx[353].text 沒有啦,我們這樣處理事情,我覺得你的速度太慢,你的變化、你的應變,這樣是不及格的,不好意思喔!真的很不好意思,部長你先回吧!不能太僵硬啦,自己都會主動延一個月,我只是提供可能會立即面對到的相關的、立即性的這些傷害的產業,能不能有更寬鬆的這樣申報的期限,你這樣答我,我覺得我聽起來很難聽啦!
transcript.whisperx[354].start 10650.446
transcript.whisperx[354].end 10674.575
transcript.whisperx[354].text 32%的稅率上週五台灣也正式跟美方進行第一次的會談嘛對不對那目前都朝向好的方向嘛應該是這樣嘛應該是很順利的展開第一次的但是美國貿易代表所在3月31去公布2015的對外貿易障礙的評估報告中點名台灣的豬牛馬鈴薯稻米及基改食品設有貿易障礙這是一個事實那國人就非常擔心嘛台灣的農糧食安會不會變成談判桌上的籌碼
transcript.whisperx[355].start 10676.105
transcript.whisperx[355].end 10702.793
transcript.whisperx[355].text 台灣以農為本院長非常清楚我們再怎麼樣的談判坦白講這一次川普的事件基本上還是以美國利益為導向最終還是以政治來做解決我個人的看法所以農業上院長能不能承諾我再怎麼樣都不可以成為談判上的籌碼甚至於絕對不能讓步因為
transcript.whisperx[356].start 10706.337
transcript.whisperx[356].end 10731.3
transcript.whisperx[356].text 食安是國人最低的要求那農產是我們整個國安的戰備上的一個位階所以院長不能直接承諾我說農業絕對不能成為談判桌上的一個籌碼我們要設最低的底線第一次的談判結束裡面對等關稅跟非關稅貿易障礙跟出國管制都是重要議題當中的一部分所以其中談到非關稅貿易障礙
transcript.whisperx[357].start 10731.88
transcript.whisperx[357].end 10743.991
transcript.whisperx[357].text 非關稅貿易障礙不僅在農業在工業上也有那這個都是將來大家必須面對的那我們對於國人的健康安全我們會很重視的所以基於健康安全也基於我們消費的習慣
transcript.whisperx[358].start 10745.473
transcript.whisperx[358].end 10763.565
transcript.whisperx[358].text 這個是我們的原則但是我們要考量的也包括國際的標準也包括有沒有科學的認證如果在這個通常考量底下我們才能在談判的桌上去跟對方表示我方國家所需要的因為我們國情是所需那這一點我們是列為談判的重點院長啦 台灣的榮養跟食安這個絕對不能成為談判桌上的籌碼我再實現 我已經強調三次了我們自己也編了180億來因應這次的關稅衝擊嘛 對不對
transcript.whisperx[359].start 10773.872
transcript.whisperx[359].end 10783.826
transcript.whisperx[359].text 那是不是有能比照2023年易貨特別預算農業部還編列了268億投入了改善農水路啦漁港啦養殖等這個基礎設施可以吧
transcript.whisperx[360].start 10787.543
transcript.whisperx[360].end 10814.329
transcript.whisperx[360].text 我跟委員報告我們現在的支持方案裡面最主要是針對受影響的產業去協助那您剛才提到的農水路的部分我那個是一個比喻我是說1號之後我們還編了268億對不對我們現在當然要趕快來最好是可以馬上成立一個針對農業面對到對等關稅的相關的營業小組甚至我在這邊也希望院長能不能責成一位政委來統籌這件事情從農糧 從食安
transcript.whisperx[361].start 10816.229
transcript.whisperx[361].end 10820.293
transcript.whisperx[361].text 所以我特別剛剛強調說農業絕對不能成為這一次的對等關稅談判桌上的一個籌碼我強調第四次了
transcript.whisperx[362].start 10826.479
transcript.whisperx[362].end 10852.977
transcript.whisperx[362].text 疫後特別條例非常的成功因為他是針對普遍性國人受到疫情的影響那這一次我們是要針對受到美國關稅影響國際貿易情勢改變的這些對象所以基本上有一些不完全相同的地方所以我們針對這產業受影響了我們給他一些支持讓他研發開發多元市場等等那倒不是說我們想要把這個農水路水庫整個設施做好那是用一般的年度預算來做的
transcript.whisperx[363].start 10854.558
transcript.whisperx[363].end 10879.855
transcript.whisperx[363].text 我跟委員補充一下就是您剛才所關切的其實在關稅的部分在農業部本身我們就有一個因應小組那我們所研析所評估的我們隨時會提供給我們的談判小組做一個討論所以基本上在農業部已經有一個因應小組然後這個因應小組的一些評估跟他的一個建議都會進到我們的談判小組裡面部長你如果覺得說農業部的因應小組就已足夠
transcript.whisperx[364].start 10881.109
transcript.whisperx[364].end 10908.875
transcript.whisperx[364].text 我也可以接受我們現在講了農業部這一次面對到預算被大刪減大凍結對農業部有造成什麼樣影響能不能簡單說一下我們這一次的預算被刪了20.14億那其中被刪了因為我們在今年度提了非常多的新的工作特別是院長非常重視的所謂的那個系統性的水治理那系統性的水治理牽扯到四山防洪
transcript.whisperx[365].start 10910.089
transcript.whisperx[365].end 10934.043
transcript.whisperx[365].text 牽涉到集水區的一個整治牽涉到下游的農水路的一個建設那這個建設基本上都已經因我們的20.14億的預算被刪而受到影響農業部好不容易從112年當時農委會我們因為主改讓他可以升級到變成農業部好不容易相關的經費可以逐步逐步的到位多增加一點預算
transcript.whisperx[366].start 10935.956
transcript.whisperx[366].end 10965.018
transcript.whisperx[366].text 非常符合公平與正義因為不正義太久了對台南農業不正義太久了哪有說今天農業部的預算增加一些被當成在野黨的這個刪減相關預算的的縮短我覺得實在是講不過去我們對農業已經不公平太久時間了還有民進黨執政可以讓農委會變成農業部增加幾次的預算是有相關的項目跟計畫必須要去執行就好比說你今天的冷鏈
transcript.whisperx[367].start 10965.899
transcript.whisperx[367].end 10986.175
transcript.whisperx[367].text 今天我們去補助,讓農民可以在農產品提升相關的競爭我們補助相關提出申請的人,他們還是要自從對等的這樣一個比例的預算經費來做處理這也帶動國內的一些產業的需求去做一些刺激但是你看今天煤圈被刪了
transcript.whisperx[368].start 10987.815
transcript.whisperx[368].end 11012.221
transcript.whisperx[368].text 統三60%然後環貨人非洲豬瘟邊境管制及國有防禦政策計畫被刪了六千萬這個有沒有影響這都有影響特別是我們在非洲豬瘟的話我們守得非常努力那相關的這些沒宣費最主要就是做這些宣導包括在飛機上在邊境還有在我們的民間都有做這樣的一個宣導延長要報稅時間拖太久了太多了還有龍水
transcript.whisperx[369].start 11065.302
transcript.whisperx[369].end 11090.137
transcript.whisperx[369].text 好 謝謝 謝謝劉建國委員質詢謝謝卓院長 相關部會所長備選好 再接下來我們請登記第51號各位報告院會現在在議場二樓旁邊的來自南投縣南投市的所有的好朋友我們掌聲歡迎我們接下來請登記51號鄭正前委員請質詢
transcript.whisperx[370].start 11100.763
transcript.whisperx[370].end 11103.907
transcript.whisperx[370].text 謝謝主席,我想請一下卓文泰院長麻煩再請卓院長備詢政委員好院長好,終於可以諮詢到了
transcript.whisperx[371].start 11119.964
transcript.whisperx[371].end 11147.348
transcript.whisperx[371].text 我在想說因為那個之前的時候您曾經在那個備詢的時候您有答到說因為詐騙的事情是現在大多數國人都非常深惡痛絕的狀態那您有特別提到說政府的努力遠不及國人的要求那我可不可以請教一下您覺得哪部分的努力還不夠我們還要怎麼樣去加強努力才能夠滿足國人的要求因為詐騙的手法日新月異推神出信
transcript.whisperx[372].start 11148.243
transcript.whisperx[372].end 11162.935
transcript.whisperx[372].text 那我們在速度上要趕得過他所以我們很多科技執法上面的工具還要更強另外就是詐騙有的跑到國外去用國外的網站用國外的方式像最近也出現幾個問題你知道在柬埔在哪裡有個園區
transcript.whisperx[373].start 11164.386
transcript.whisperx[373].end 11190.669
transcript.whisperx[373].text 在緬甸那跑到國外去我們這司法力量達不到那個地方去我們卻用遠距的方式做國內刑事詐欺是院長因為我今天曾經去柬埔寨帶過那個被詐騙的人回來所以我非常理解這個狀態可是因為最近我看到有幾個新聞是說日本人被詐騙到台灣來變成一個中繼站要往柬埔寨走造成日本人極度的一個恐慌那我覺得這對整個台灣的國際聲譽有很大的一個影響
transcript.whisperx[374].start 11191.57
transcript.whisperx[374].end 11216.878
transcript.whisperx[374].text 我們要全力來防治這個安全單位要全力來防治這個事情另外一個部分就是馬來西亞其實有國會議員他們也提到說他們去年被詐騙來台灣當車手的人比前一年增加十倍我想請教一下院長您知不知道去年在台灣涉及詐騙的外國人大概有多少人
transcript.whisperx[375].start 11218.684
transcript.whisperx[375].end 11241.793
transcript.whisperx[375].text 我想我們有165的專線還有警調系統這有點細我只是要特別講說因為我要特別了解說到底有多少外國人其實被台灣這邊給囚禁羈押在這邊因為我看到一個數字的時候去年的時候大概有將近2000個外籍人士因為涉及詐騙人數在台灣幾乎超過一個
transcript.whisperx[376].start 11245.214
transcript.whisperx[376].end 11268.792
transcript.whisperx[376].text 高雄監獄的人數超過一個新竹監獄的人數那我希望說剛剛院長一開始提到的狀態是說希望增加整個數位當中的監管那我希望就是針對整個落實這個對於平台業者的一個監管尤其在詐騙的事情上面這個部分可不可以請院長特別加強好的委員您說的現在可能互相議定
transcript.whisperx[377].start 11269.636
transcript.whisperx[377].end 11295.545
transcript.whisperx[377].text 不同的地點不同的國家互相異地來行使這種詐騙的行為越來越猖獗所以我們對於整個數位平台這部分請務必要加強因為太多的詐騙都是因為這些數位平台而產生的好不好所以我們國人去到國外被詐騙集團騙走了這個是一個很嚴重的態度現在外國人也會到台灣來對他們自己的國人或對我們自己的國人進行詐騙這個我們要全力來防止
transcript.whisperx[378].start 11296.708
transcript.whisperx[378].end 11306.174
transcript.whisperx[378].text 好,那這個部分,接下來我要請教一個部分,因為在106年的時候,行政院有特別要求國發會,就是針對於台灣的一個法規鬆綁的部分。那我想請教一下,目前這個進度如何?大概有哪些的成果?
transcript.whisperx[379].start 11319.926
transcript.whisperx[379].end 11346.978
transcript.whisperx[379].text 我們從過去對於法規的鬆綁就一直在進行對 106年之後有一個很清楚的狀態可是我們看到統計數字還是不斷的往上就是劉主委要對 公務員報告我們現在法規鬆綁的部分我們主要是我們定期都會跟美國商會跟歐洲商會 日本商會 紐澳商會進行溝通對於相關的法令的鬆綁
transcript.whisperx[380].start 11347.978
transcript.whisperx[380].end 11362.623
transcript.whisperx[380].text 那另外屬於在我們政策面的部分我們也積極的在只要遇到政策需要法令鬆綁我們都有進行協調跟OK 因為那個從106年到現在因為我曾經質詢過你你回答過我啦所以我今天我就不為難院長
transcript.whisperx[381].start 11363.883
transcript.whisperx[381].end 11381.52
transcript.whisperx[381].text 因為從100年到現在我們大概全國整個法規鬆綁大概是2076項你當時也有很精準的回答可是我要特別提到說法規鬆綁之後的時候我們對於整個企業的一個法尊成本是不是也有所益處院長知不知道這事情
transcript.whisperx[382].start 11384.488
transcript.whisperx[382].end 11409.068
transcript.whisperx[382].text 因為比較小的時候我希望說因為針對企業的法尊成本的時候我希望院長也可以特別注意因為在2008年的時候整個金融海嘯是美國多了一個ASFRANK法案就是讓金融業一年增加500億美元的一個法尊成本那我這邊特別提到一個例子從今年開始的時候環保環境部
transcript.whisperx[383].start 11410.009
transcript.whisperx[383].end 11423.496
transcript.whisperx[383].text 有一個新的法案它要求就是針對於檢塑的部分要求所有的飯店業者他們不能夠用一次性的盥洗用品院長知道這個細節嗎是的
transcript.whisperx[384].start 11425.057
transcript.whisperx[384].end 11428.641
transcript.whisperx[384].text 你知道這個細節嗎可是因為它整個法規的規定的時候不夠嚴謹所以產生了一個狀態是中央有一個檢錯的規定沒有問題因為整個一次
transcript.whisperx[385].start 11440.313
transcript.whisperx[385].end 11460.748
transcript.whisperx[385].text 用旅宿用品限制使用對象去實施方式卻規定了可是各個地方政府有不同的做法我具體講一下 比方說台北市他就可以向櫃台購買他沒有主動提供 他向櫃台購買可是新北市跟台中市他們可以免費跟櫃台索取
transcript.whisperx[386].start 11461.889
transcript.whisperx[386].end 11477.585
transcript.whisperx[386].text 然後再加上台南市呢他不能夠購買也不能夠索取所以同樣一個規定的時候造成企業尤其有些連鎖飯店他們每個地方都有的時候他們的法尊成本其實會受到很大的一個影響所以我希望因為現在美國他們也在
transcript.whisperx[387].start 11480.107
transcript.whisperx[387].end 11500.548
transcript.whisperx[387].text 減少行政部門的一個cost所以我希望當我們在減低這樣的一個法規的鬆綁的時候也能夠同時考慮到法尊成本的問題那我希望院長這邊的時候能夠指示相關的部會的時候針對整個法尊的成本提出一個更具體的一個成果好不好
transcript.whisperx[388].start 11502.939
transcript.whisperx[388].end 11523.299
transcript.whisperx[388].text 其實因為這個是兩三年前就已經制定的規範但是有些縣市他自己比較積極例如說台北市過去很積極大概有六個縣市比較積極理解所以出現的狀態還是不一樣所以我要講到結果就是造成了企業尤其連鎖業者的時候他們整個的法尊成本其實是不一樣的所以我只是舉這個例子
transcript.whisperx[389].start 11524.42
transcript.whisperx[389].end 11543.415
transcript.whisperx[389].text 所以我希望院長能夠特別注意到整個法尊成本的問題因為既然我們要從106年開始就要求了一個法規鬆綁的問題所以我希望對於這個部分院長也能夠多加去注意好不好報告員這個我再補充一下下因為我們已經跟各縣市已經協調完成了大家都統一的標準
transcript.whisperx[390].start 11544.073
transcript.whisperx[390].end 11565.377
transcript.whisperx[390].text OK好的那接下來的時候我想問一下因為賴總統在2023年的時候有特別提到了一個三班互併筆的問題對不對那他特別提到了兩年要入法我想請教一下院長現在進度如何這個是在選權選後對於護理人員的
transcript.whisperx[391].start 11569.721
transcript.whisperx[391].end 11582.462
transcript.whisperx[391].text 加強護理人員更充斥於這部分做了很多的努力所以現在我們也提出了對於達標的醫院直接給予獎勵給予護理人員更多的優惠的福利
transcript.whisperx[392].start 11583.03
transcript.whisperx[392].end 11608.639
transcript.whisperx[392].text 等等我們都有一些具體的措施在裡面只有獎勵的措施嗎可是因為當時2023年講說兩年要入法今年就是要入法的一個時間所以我比較關心這個部分因為我們看到去年3月公佈的一個三班互併比的一個標準出來的時候我們就發現它從1比6到1比15都有那之前部長也特別提到說其實對於
transcript.whisperx[393].start 11609.899
transcript.whisperx[393].end 11630.294
transcript.whisperx[393].text 醫學中心的大夜班其實很難去達標我大概都有特別注意到可是因為對於整個醫護人員的工作條件跟護病比這邊就產生了一個很具體的成果它也影響到國人的一個醫療照顧的一個品質的問題所以其實本席非常的關心
transcript.whisperx[394].start 11632.395
transcript.whisperx[394].end 11643.116
transcript.whisperx[394].text 賴總統當時承諾今年要讓護病筆入法這件事情是不是能夠如期做到然後來保障全體國人有一個高品質的一個醫療照顧
transcript.whisperx[395].start 11649.661
transcript.whisperx[395].end 11667.108
transcript.whisperx[395].text 我想三班護病比在這一年當中在12項留任護理人力的策略之下我們不管是醫學中心、區醫院跟地區醫院都有長足的進步譬如說我們的醫學中心前三班都達到標的已經到達60%
transcript.whisperx[396].start 11668.857
transcript.whisperx[396].end 11672.721
transcript.whisperx[396].text 那在第七院大概有到63%那我只是比較關心因為只用獎勵的部分的時候如果
transcript.whisperx[397].start 11680.41
transcript.whisperx[397].end 11703.266
transcript.whisperx[397].text 醫院沒有達到的時候那國恩的醫護照顧品質就降低了然後其實也沒有一個比較強有力的一個方式去達成那因為當時提到今年要三八護病比要入法這邊所以我們其實是很期待所以我們也希望院長這邊的時候能夠加快腳步讓這件事情能夠順利然後去
transcript.whisperx[398].start 11705.167
transcript.whisperx[398].end 11717.841
transcript.whisperx[398].text 滿足賴總統我當時所提出來的一個政見跟訴求好不好各界都來溝通來加緊這個講步我想維護醫療的品質特別是護理人員給他很
transcript.whisperx[399].start 11718.76
transcript.whisperx[399].end 11735.549
transcript.whisperx[399].text 因為要達到這樣的一個成績的時候因為它會牽涉到有一些醫護護理人員、醫護人員他們的一個相關的工作條件的相關的問題所以我們也希望當這個三班一面筆入法的時候其實能夠同時解決好不好
transcript.whisperx[400].start 11736.089
transcript.whisperx[400].end 11764.413
transcript.whisperx[400].text 報告委員不只說三萬護病比我們有不管是在給護方面或護理的給護我們已經有非常長足的投入很多的一個護理的一個獎勵的或者是在給護方面的努力因為我相信對於護理各位部長我想這部分的時候我希望院長這邊能夠加快速度請邱部長這邊的時候儘速把它完成任總統的一個主張跟訴求獎勵先行之後把現在的制度
transcript.whisperx[401].start 11765.611
transcript.whisperx[401].end 11772.109
transcript.whisperx[401].text 全部跟他做完12項措施能夠檢討以後再朝下一步的步驟來做
transcript.whisperx[402].start 11773.184
transcript.whisperx[402].end 11794.809
transcript.whisperx[402].text 因為這是賴總統的一個訴求啦跟政見的主張所以我們也希望好的東西我們希望讓他能夠真正做到如果做不到的時候就等於是賴總統的一個政見就破功了嘛那我覺得這樣也不好因為這對國人確實是好的事情我們希望院長加快腳步去做不要只停留在一個獎勵的一個階段好不好不是先行我們現在研議下一步的這個
transcript.whisperx[403].start 11795.709
transcript.whisperx[403].end 11818.706
transcript.whisperx[403].text 工作要怎麼做,包括入法的研判等等那接下來的時候我一定要特別提到那個有關於美國對等關稅的問題那美國對等關稅的時候其實賴總統其實他也提出了一個五大的因應策略那我在想說其實然後也投書了Bronberg其實我大概都講到一些幾個重點那針對這部分我簡單來說一個
transcript.whisperx[404].start 11821.144
transcript.whisperx[404].end 11847.685
transcript.whisperx[404].text 短短的一個小結就是說美國他希望用這個關稅的部分來解決他的貿易逆差的問題然後再解決他再工業化的問題然後另外解決他美債的問題大概就是三個嘛院長認不認同大概是這個方向大概就是三個方向嘛那我在想說針對那個逆差的部分的時候那總統他也特別投書當中他也提到說
transcript.whisperx[405].start 11849.663
transcript.whisperx[405].end 11858.222
transcript.whisperx[405].text 幾個解決的方法大眾物資的採購天然氣的採購軍購的一個採購大概都有提到要解決貿易逆差是這樣的情況沒有錯嘛對不對
transcript.whisperx[406].start 11859.724
transcript.whisperx[406].end 11883.855
transcript.whisperx[406].text 增加採購卻是一個方式但是採購的能力跟內容要看我們的財政能力跟國家整個發展是需要是OK那我想先特別問一下因為他有特別提到擴大軍購的部分我想請教擴大軍購可以減少貿易逆差嗎院長通常沒有算在貿易逆差裡面沒有算在貿易逆差裡面所以說採購要考慮到我們國家的需要是所以說
transcript.whisperx[407].start 11886.871
transcript.whisperx[407].end 11909.158
transcript.whisperx[407].text 軍購沒有算在貿易逆差當中所以總統還在投書會有提到說用軍購的方式來減少貿易逆差的部分之後我就在想說既然說院長也知道說軍購沒有算在貿易的統治數字當中所以正常來說軍購應該不能減少貿易逆差才對吧是不是院長
transcript.whisperx[408].start 11910.038
transcript.whisperx[408].end 11927.53
transcript.whisperx[408].text 我們說的採購通常指的就是工業產品 農工產品這些部分所以軍購產品算不算在裡頭能源的建置 能源跟能源的建置等等軍購算不算在裡頭軍購它有一個廣義跟比較具體但如果廣義的部分我們還可以再做一些調整
transcript.whisperx[409].start 11927.898
transcript.whisperx[409].end 11954.529
transcript.whisperx[409].text OK 我們簡單來講就是說一般的軍購的狀態我們一般說的軍購狀態可能就不算在貿易的統計數字當中可是商購的狀態算在這裡頭對不對那我在想說當總統他這邊提到說要用軍購的方式來平衡貿易逆差的狀態那我是不是可以用這樣的方式去推論所以我們接下來就是軍品商購的比例會大幅的增加
transcript.whisperx[410].start 11955.45
transcript.whisperx[410].end 11968.227
transcript.whisperx[410].text 這完全看我方我國的國防能力我們需要增加到什麼程度先進的武器 先進的設備等等如果我們有財政能力夠我們也需要這些來增加我們的國防從這個角度來思考
transcript.whisperx[411].start 11969.672
transcript.whisperx[411].end 11992.154
transcript.whisperx[411].text 所以說我們因為總統提到要用軍購來平衡貿易逆差那軍購你剛講軍購的範圍很大可能有可能包括針對政府對政府的一個採購的狀態那可能也包括對於企業的一個採購的部分就商購的部分所以我在想說如果說我們要平衡貿易逆差那是不是表示我們商購的比例就會增加這很簡單的一個邏輯嘛
transcript.whisperx[412].start 11994.555
transcript.whisperx[412].end 12015.133
transcript.whisperx[412].text 跟委員報告,我想軍購的部分雖然沒有算入這個貿易順利差的部分但是從安全的角度上來看還有展現就是說台美這樣子的一個軍事交流的合作的面向上面都是相當重要的那軍售的部分有政府跟美國政府這個保障
transcript.whisperx[413].start 12015.8
transcript.whisperx[413].end 12035.594
transcript.whisperx[413].text 對我們來講軍售還是一個相當重要的管道商售的部分呢我們大部分也是我們多元籌貨的管道之一那對這個部分的話我譬如說我們就講說有一些相關不適宜透過軍售的管道的部分的話我們會盡量以商售的管道也會來做
transcript.whisperx[414].start 12036.554
transcript.whisperx[414].end 12062.908
transcript.whisperx[414].text 現在顧部長的補充我特別提到一下因為在2017年的時候那時候蔡政府的時候她就曾經因為當時也是因為貿易逆差台美貿易逆差的問題的時候她有特別提到軍購的部分要來跟美國溝通減少貿易逆差的一個這個部分我不知道2017年溝通的成果的時候我們是不是有達到我們要的一個狀態
transcript.whisperx[415].start 12066.427
transcript.whisperx[415].end 12084.42
transcript.whisperx[415].text 2017年的時候因為台美貿易逆差所以當時蔡英文總統她當時就有提出了一個說帖說帖當中的就是說要跟美國用軍購的方式來表示我們其實並不是貿易逆差的一個狀態那我不知道那次溝通的成果如何
transcript.whisperx[416].start 12085.722
transcript.whisperx[416].end 12110.018
transcript.whisperx[416].text 我想後續就經貿小組跟美國在談判這件事情的時候我們可以去說明我們過去以來對美的軍購的金額是多少因為2017年蔡政府的時代的時候已經曾經提到的這個狀態所以我想說如果現在院長或部長沒辦法回答的時候你們回去再給我一個很清楚的狀態軍購不算是貿易的順利差
transcript.whisperx[417].start 12114.901
transcript.whisperx[417].end 12141.431
transcript.whisperx[417].text 但我們來看軍購是我們國家希望達到GDP3%的這個目標所以他是在這個範疇裡面去做思考我們國家的需要跟美國的合作跟全世界這個防衛的安全那其他的採購會主動在能源主動在工產品工業其他的採購這個沒問題所以說我們目前是用3%當標準嘛對不對當一個目標值嘛那川普提到10%我們要如何去因應
transcript.whisperx[418].start 12142.489
transcript.whisperx[418].end 12157.144
transcript.whisperx[418].text 大概目前我們是沒有這個能力沒有這個能力嗎?那接下來的部分就講到天然氣採購的一個部分因為之前郭部長曾經有特別提到說我們接下來大概要跟美國採購的天然氣從10%提高到30%這個數字有沒有錯?
transcript.whisperx[419].start 12163.889
transcript.whisperx[419].end 12192.692
transcript.whisperx[419].text 報告委員我沒有說過提高到百分之三十OK媒體有這樣的一個數字出來這個是可能是這個誤傳我從來沒有說過我們會多少OK那我們預計這一部分我必須要在這邊鄭重的跟委員報告我從來不會談我們有多少比例這個我想委員你的資料可能有誤這個不是我我也沒有那個能力講說我們要投資多少
transcript.whisperx[420].start 12193.166
transcript.whisperx[420].end 12198.931
transcript.whisperx[420].text 我想請教一下 因為你有提到說要增加對美國政府部門2000億的採購這個有吧 對不對2000億的數字我是說概略這樣的數字 這個數字我有講過我記得你有提到2010年嘛 對不對那這2010年基本上都是天然氣採購為主嗎
transcript.whisperx[421].start 12219.958
transcript.whisperx[421].end 12240.989
transcript.whisperx[421].text 我跟委員報告這個採購裡面包括能源包括科技包括一些我們國內需要的這些產品這裡面包括很多啦那能源的部分佔多少我不知道這個是完全由這個談判小組他們來做一些規劃我們只是提供一些資訊給這個談判小組因為我們大概
transcript.whisperx[422].start 12245.132
transcript.whisperx[422].end 12258.861
transcript.whisperx[422].text 這個需求國內的需求我們是近期我們的職責把國內的需求這十年裡面可能有多少國內的需求提供給談判小組所以兩千億這邊是你們經濟部這邊估出來的數字是不是兩千億不是我們估出來的數字兩千億是我
transcript.whisperx[423].start 12264.705
transcript.whisperx[423].end 12288.576
transcript.whisperx[423].text 站在過去的經驗認為可能這樣的一個數字是值得他們參考的不是估計算下來的而是我憑我過去的經驗認為我們除了國內可以用的這個國內可以用的能源以外我也可以多採購這些能源理解那我想問採購這些能源是不是指的是阿拉斯加的LNG
transcript.whisperx[424].start 12290.851
transcript.whisperx[424].end 12314.89
transcript.whisperx[424].text 你採購的能源包括阿拉斯加的LNG計畫我們如果說可以透過大量的採購我們可以分享這樣的一個經濟的價值分享給我們其他的鄰國我想這個是就商業上面來講我提供我的經驗認為說我只買一定的量可能沒有談判的籌碼如果我能夠買更多的量
transcript.whisperx[425].start 12316.01
transcript.whisperx[425].end 12338.895
transcript.whisperx[425].text 大概可以分享給其他的國家所以你指的這部分是你想要結合哪些國家一起去處理阿拉斯加的天然氣案是這個意思嗎報告委員因為阿拉斯加的州長來亞洲訪問第一站就到我們台灣來那麼他後來也接著到其他的國家去所以我們也簽了意向書嘛對不對
transcript.whisperx[426].start 12339.855
transcript.whisperx[426].end 12341.878
transcript.whisperx[426].text 所以我們針對這1300公里的投資我們預計要投入多少的資金
transcript.whisperx[427].start 12350.694
transcript.whisperx[427].end 12371.329
transcript.whisperx[427].text 我們要投入多少資金不是根據我們想投就可以他會讓我們投多少這個美國他要去看所以不是說我們想投就可以投多少所以我要特別提醒一下郭部長因為在2016年的時候那個是美孚他們在退出了這個計畫英國石油也退出了這個計畫
transcript.whisperx[428].start 12373.05
transcript.whisperx[428].end 12402.16
transcript.whisperx[428].text 康佛石油他們也推出了這個計畫那我們現在要進來接這個狀態的時候意向書簽了我知道可是我想說我們要怎麼去參與這樣的一個國際天然氣或石油的開發我覺得是很複雜的事情我理解可是我希望我們在判斷評估的時候有更多的經濟考量而不是純粹的政治考量讓台灣變成接盤俠的一個狀態可不可以承諾這個部分
transcript.whisperx[429].start 12402.902
transcript.whisperx[429].end 12427.424
transcript.whisperx[429].text 我們當然會考量合理的商業條件我想中油去投資它未來對於穩定的供貨來源必須有掌握住而且今日未來對LNG的需求跟過去當然是不同的所以在這個整個市場的需求上面來看我們會請經濟部請台電合理的去評估分析這種商業條件有利於我們做開發的我們當然會爭取
transcript.whisperx[430].start 12430.087
transcript.whisperx[430].end 12454.597
transcript.whisperx[430].text OK 謝謝院長那我在想說除了這個部分之外還有另外一個部分就是美國在工業化對台灣來說很重要的部分就是半導體產業那這部分有關於台積電去美國這件事情大家很多的討論我在這邊就特別的關心因為我希望說政府能夠把台積電到美國去投資這件事情但我知道部長一定覺得這是商業的一個行為企業的一個行為
transcript.whisperx[431].start 12455.737
transcript.whisperx[431].end 12480.785
transcript.whisperx[431].text 台積電對台灣來講確實不一般因為台灣對於整個高階技術製程的一個輸出也有一個規定我希望這個部分的時候能夠讓台積電去美國能夠變成我們在跟美國談判的時候更好的一個籌碼我在這邊就不特別講我要特別講到一個部分是有關於債券的部分債券的部分
transcript.whisperx[432].start 12481.425
transcript.whisperx[432].end 12493.552
transcript.whisperx[432].text 那因為在1944年的一個布萊頓聲明協議的時候把美元跟石油綁在一起讓美元霸權興起那1985年的時候廣場協議的時候
transcript.whisperx[433].start 12498.155
transcript.whisperx[433].end 12525.244
transcript.whisperx[433].text 日元大幅的一個升值造成日本失落的三十幾年然後一直到現在那今年的時候提出了一個海湖莊園協議那我不知道說就是院長有沒有特別關注這個問題我們要如何去面對這樣子可能美國丟出來的一個海湖莊園協議當中要求如果他真的要求讓現有的
transcript.whisperx[434].start 12527.525
transcript.whisperx[434].end 12556.053
transcript.whisperx[434].text 國外的一個在持有的美債的時候都換成一百年無息不可轉讓的一個債券如果發生這樣的事情我們要怎麼去面對可不可以請院長這邊回答或請央行的總裁這個議題好像也談論了很久不過呢這個背後我們必須要了解一件事如果說做這樣一個轉換的時候這相當於就是美債的
transcript.whisperx[435].start 12557.612
transcript.whisperx[435].end 12576.622
transcript.whisperx[435].text 倒債如果說是美債都倒債的話那這個就是非常的危險因為美國的公債他的市場呢他是各個金融商品他定價的基礎那如果說是這樣的話呢我所以在上一次在財委會有委員在
transcript.whisperx[436].start 12579.474
transcript.whisperx[436].end 12603.553
transcript.whisperx[436].text 質詢這個問題的時候我那時候也非常大膽的說美國恐怕他會發生金融上的混亂金融上的危機所以這個議題雖然是大家談論的很久在我們國內的市場談論很久不過據我了解好像是國外其他的金融市場也沒有談到這個就像我們台灣這麼的熱烈
transcript.whisperx[437].start 12605.934
transcript.whisperx[437].end 12634.384
transcript.whisperx[437].text 謝謝楊總裁因為你剛剛提到說如果是這個狀態的時候那幾乎美國的美債就是倒債的一個狀態我覺得這很重要一個狀態我想這邊請教一下院長假設的前提理解理解因為這還沒有發生那我們也不希望它發生因為對我們台灣來講我們台灣也持有非常高額的一個美債我想請教一下院長我們現在持有的美債到底有多少佔外匯存底的百分之多少
transcript.whisperx[438].start 12637.881
transcript.whisperx[438].end 12644.447
transcript.whisperx[438].text 我們歐友美國的債券我們的外存大概八成以上
transcript.whisperx[439].start 12645.339
transcript.whisperx[439].end 12659.213
transcript.whisperx[439].text 八成以上是不是有到九成二嗎沒有就八成左右的一個數字美債大概佔八成左右的數字是不是所以大概在4300億左右4300億美元左右事實上我們台灣總共叫歐友的這個報紙都有報導我們是佔第11位我們是2900多億
transcript.whisperx[440].start 12669.574
transcript.whisperx[440].end 12683.126
transcript.whisperx[440].text 2900多億的美債包括民間的部分所以你講的數字跟之前朱副總裁講的是不一樣的數字他是看錯了他看錯了是不是
transcript.whisperx[441].start 12685.232
transcript.whisperx[441].end 12705.706
transcript.whisperx[441].text 那這個看錯其實影響很大因為我旁邊一些金融界企業界的朋友大家都跳腳起來而且覺得說台灣怎麼會把所有的一個外匯全部都壓在整個美債上面因為這段時間的時候很多國家都在處理他們的一個美國的
transcript.whisperx[442].start 12707.028
transcript.whisperx[442].end 12717.259
transcript.whisperx[442].text 無債的問題那我們有去做一個相應的處理嗎我想我們對於這個債券的一個調整都隨時在調整隨時在觀察市場的變化而隨時做調整
transcript.whisperx[443].start 12726.317
transcript.whisperx[443].end 12745.335
transcript.whisperx[443].text 另外一個部分的時候,因為在烏克爾戰爭當中的時候,STARLINK變得非常的重要,烏克蘭幾乎是靠著STARLINK在跟國際當中的一個聯絡。在去年底之前的時候,我們的政府都還覺得因為
transcript.whisperx[444].start 12749.201
transcript.whisperx[444].end 12773.357
transcript.whisperx[444].text STARLINK馬斯克他們太過於親中所以覺得不能夠開放STARLINK在台灣落地因為有國安的問題可是院長你知道我們目前已經開放了你知道嗎我們在低軌衛星甚至更高的中軌更高的同步我們都有嘗試做一些合作但這個目前的狀況
transcript.whisperx[445].start 12774.912
transcript.whisperx[445].end 12788.544
transcript.whisperx[445].text 就是在國家安全需要底下我們都有做一些合作所以之前的時候沒有開放STAR LINK是因為國家安全的考量現在又是因為國家安全的考量所以開放是這樣子的意思嗎是開放 我們有尋求不同的合作
transcript.whisperx[446].start 12790.345
transcript.whisperx[446].end 12809.799
transcript.whisperx[446].text 因為我在想說因為今年2月13號的時候速發布的時候開放Starlink落地的時候跟之前考量因為國安的問題而沒有開放我就不曉得當中的轉折是在什麼地方所以我本來是希望說院長這邊可不可以做一個更詳細的一個回答
transcript.whisperx[447].start 12812.453
transcript.whisperx[447].end 12825.401
transcript.whisperx[447].text 這個當初的考量都有啦包括系統本身以及包括整個背後的因素等等那現在我們尋求更多元的合作因為不只只有一個廠商一個國家的一個廠商我們可以尋求更多元的合作理解 因為之前
transcript.whisperx[448].start 12828.923
transcript.whisperx[448].end 12850.716
transcript.whisperx[448].text 就是馬斯克他曾經針對於烏克蘭用他STARLINK的時候表示整個烏克蘭就是靠他如果他斷線的時候整個烏克蘭就崩盤了那我在想說我們當時對於STARLINK沒有開放有國安的考量現在開放了之後我們之後怎麼樣運用STARLINK這部分的時候我也希望院長這邊能夠特別予以
transcript.whisperx[449].start 12851.576
transcript.whisperx[449].end 12872.186
transcript.whisperx[449].text 注意好不好不要變成我們到時候又變成受人家掐在我們脖子上他到時候講說如果到時候發生什麼事情他如果有斷訊的時候我們台灣就掛點我覺得這我都不想看到這樣的一個事情對我們的國安安全非常的重要對外的聯繫管道我們會維護他的好那另外就是
transcript.whisperx[450].start 12874.008
transcript.whisperx[450].end 12891.554
transcript.whisperx[450].text 因為你剛有特別提到880億的一個特別條例進度我下個禮拜會送行政院嘛對不對那規模的時候還不定因為可能基於企業的要求跟整個民眾的期待所以還不定但我想什麼時候可以送到立法院院長可不可以給我們壓一個時間出行政院院會之後
transcript.whisperx[451].start 12892.703
transcript.whisperx[451].end 12918.052
transcript.whisperx[451].text 馬上就送進立法院 特別條例就會送來 請大院支持這樣很快 動作很快 因為我們也支持而且我們認為8187搞不好還可以上修我就想問一下 你知道說到目前為止我們這次總預算對凍結的案有多少案 院長知道嗎凍結案我們有算有多少案 凍結案總共有1413案你知道有多少案送進立法院嗎 到目前為止
transcript.whisperx[452].start 12976.141
transcript.whisperx[452].end 12978.062
transcript.whisperx[452].text 我們下午兩點半繼續開會進行質詢現在休息
transcript.whisperx[453].start 13885.783
transcript.whisperx[453].end 13886.493
transcript.whisperx[453].text MING PAO CANADA MANGA
transcript.whisperx[454].start 14539.531
transcript.whisperx[454].end 14540.043
transcript.whisperx[454].text MING PAO CANADA MANGA
transcript.whisperx[455].start 14774.537
transcript.whisperx[455].end 14775.469
transcript.whisperx[455].text MING PAO CANADA MANGA
transcript.whisperx[456].start 15264.514
transcript.whisperx[456].end 15265.213
transcript.whisperx[456].text MING PAO CANADA MANGA
transcript.whisperx[457].start 15599.848
transcript.whisperx[457].end 15600.998
transcript.whisperx[457].text MING PAO CANADA MANGA
transcript.whisperx[458].start 16417.678
transcript.whisperx[458].end 16418.541
transcript.whisperx[458].text MING PAO CANADA MANGA
transcript.whisperx[459].start 16514.503
transcript.whisperx[459].end 16514.891
transcript.whisperx[459].text 由 Amara.org 社群提供的字幕
transcript.whisperx[460].start 18342.918
transcript.whisperx[460].end 18343.34
transcript.whisperx[460].text 由 Amara.org 社群提供的字幕
transcript.whisperx[461].start 18911.98
transcript.whisperx[461].end 18912.684
transcript.whisperx[461].text 由 Amara.org 社群提供的字幕
transcript.whisperx[462].start 21644.434
transcript.whisperx[462].end 21662.985
transcript.whisperx[462].text 抱怨會現在我們繼續開始質詢現在在一場二樓旁聽的來自國防大學政戰學校的同學們我們掌聲歡迎接下來我們進行質詢的是陳秀寶委員請質詢
transcript.whisperx[463].start 21679.677
transcript.whisperx[463].end 21706.688
transcript.whisperx[463].text 謝謝主席 請卓榮泰院長 鄭麗君副院長以及楊振寧政委副院長不行 只有院長麻煩請卓院長備詢 還有哪一位部長副院長還有哪一位部長副院長 鄭副院長副院長不行那政委可以嗎可以 不行 不行 只有部長
transcript.whisperx[464].start 21708.643
transcript.whisperx[464].end 21710.466
transcript.whisperx[464].text 我們時間開始好嗎好 請政委好
transcript.whisperx[465].start 21719.578
transcript.whisperx[465].end 21743.997
transcript.whisperx[465].text 其實過去在新的會期開始本期都會覺得非常期待因為希望在新的會期開始我們能為國家盡力做事為台灣做事為人民服務為我們的地方爭取但其實這一屆開始每個會期我都覺得很焦慮很憂心因為面對在野黨的這些不管是一些違憲的法案一些不合理的煽動還有一些非法的這些法案都會覺得
transcript.whisperx[466].start 21744.858
transcript.whisperx[466].end 21758.126
transcript.whisperx[466].text 很焦慮我想這也是我們行政團隊跟我們國人一起要面對的挑戰剛才為什麼我也想請我們的副院長以及政委其實就是要先來詢問我們國人非常關心的對等關稅這個問題
transcript.whisperx[467].start 21760.467
transcript.whisperx[467].end 21786.281
transcript.whisperx[467].text 其實原本美方它有公佈豁免的名單包括像通訊產品筆電手機半導體都有入列但是後續川普的態度又很反覆所以現在目前的狀況是很撲朔迷離有我們副縣長領軍的談判團已經開始談判了我想知道說我想國人也非常關心說現在我們的整個談判的過程是樂觀的嗎有沒有好消息可以讓國人放心
transcript.whisperx[468].start 21788.456
transcript.whisperx[468].end 21805.696
transcript.whisperx[468].text 台灣能夠列在最優先談判的順序當中我想對整個談判團隊我們的感覺是非常士氣是高昂的至少我們之前所準備的所有的被討的方案可以在最優先的時間就把它有機會提出來
transcript.whisperx[469].start 21806.817
transcript.whisperx[469].end 21830.491
transcript.whisperx[469].text 單單是第一次的接觸視訊的談判那只是啟動了整個談判的程序後續還有雙方當天談之後的一些後續的準備資料還要持續的來做做好下一階段的準備所以目前還在進行當中所以現在也還沒有辦法告訴國人說有沒有一個好的開始好的發展會有什麼樣的好消息讓大家稍微放心
transcript.whisperx[470].start 21831.651
transcript.whisperx[470].end 21854.856
transcript.whisperx[470].text 總統說這是一個順利的那副總統也表示這是一個非常正面的我也說這是一個非常健康的其實以我們鄭副院長以及楊政委的專業其實國人都對他們非常的支持 讚許我也相信說國人的這個信任跟厚望是他們的後盾那其實在這個氛圍上是很特別的全世界受到關注
transcript.whisperx[471].start 21855.896
transcript.whisperx[471].end 21882.996
transcript.whisperx[471].text 川普的這個關稅影響的國家大家都團結一致槍口對外希望爭取最有利的對國家最有利的一些相關的空間但只有台灣最特別只有台灣是在野黨一直在罵執政黨然後一直在扯後腿槍口是對內的所以我也相信說在這樣的氛圍之下呢我們的談判團壓力是蠻大的啦但是我也相信說我們談判團有這個能力為國家來爭取最有利的這個地位
transcript.whisperx[472].start 21883.817
transcript.whisperx[472].end 21886.3
transcript.whisperx[472].text 那在這個變動的關稅政策之下就會帶來不確定性的衝擊那豁免清單裡面沒有提到相關的農業跟漁業跟相關的傳統的產業這些都會受到這些關稅的挑戰所以這邊我還是要再提出幾點
transcript.whisperx[473].start 21899.016
transcript.whisperx[473].end 21913.875
transcript.whisperx[473].text 第一個我希望說受到影響的這些產業的這些政府的相關補助包括不管是貸款、業會貸款、振興的補助以及不同產業這些諮詢窗口我們一定要加強宣傳的管道
transcript.whisperx[474].start 21914.515
transcript.whisperx[474].end 21931.787
transcript.whisperx[474].text 來降低產業他們在聯繫上的時間跟成本讓他們在最快的時間可以知道他們相關的訊息得到他們所需要的支持第二個部分就是我們在研議對等關稅這個還沒有很明朗的情況之下有一些不得不實施無薪假的企業希望說我們可以針對他們受影響的這些相關的勞資的權益我們提供協助
transcript.whisperx[475].start 21937.651
transcript.whisperx[475].end 21959.714
transcript.whisperx[475].text 不管是津貼或者是相關的勞動契約我們都應該主動的來提供他們有這樣的訊息來協助他們再來我希望說應該區分不同的產業別包括像紡織一類工具機一類農業一類我們來組成這些拓銷的這些國家隊我們用團體團隊的力量向外去拓展聯合出擊我們才能創造多贏
transcript.whisperx[476].start 21961.095
transcript.whisperx[476].end 21984.758
transcript.whisperx[476].text 那第四個部分呢是我們現在國人也很擔心的就是我們要嚴防中國這邊有大量的傾銷變相的把我們台灣變成他們洗產地的這樣子的一個做法所以說提升這個邊境檢查來維護我國商業安全也非常的重要那這個部分不知道現在行政院你們有什麼相應的政策好 謝謝委員我想整個談判的過程很多的委員
transcript.whisperx[477].start 21986.221
transcript.whisperx[477].end 22012.698
transcript.whisperx[477].text 還有我們社會的很多人沒有辦法完全知道全貌難免心急這個我完全理解那我們的難處是我們也很難在這個時候基於談判的慣例跟雙方的默契沒有辦法全部的說出這也是我們的為難那只要國人給我們多一點的耐心跟時間我們好好的把這件事情進行那目前除了談判的主要內容就是對等關稅非關稅貿易障礙還包括了出口管制
transcript.whisperx[478].start 22013.345
transcript.whisperx[478].end 22038.531
transcript.whisperx[478].text 其他還有我們自己知道的包括你剛剛所說的違規轉運 息產地 反傾銷那違規轉運這個問題在台灣我們一定要徹底的來解決台灣不能成為這次世界貿易秩序重建的過程當中的一個破口會對我們自己的產業在國際上失去信任度也對我們國內的產業失去安定所以我們在事前要做好更多的預防工作
transcript.whisperx[479].start 22039.071
transcript.whisperx[479].end 22054.686
transcript.whisperx[479].text 市中要嚴格來查查所有進來台灣的產品但是事後如果發現的不法一律原程我們事前事中事後三道防線已經完成那現在我們會全面要求各主管的部會
transcript.whisperx[480].start 22055.29
transcript.whisperx[480].end 22077.7
transcript.whisperx[480].text 去直接有效的去執行這樣的工作所以針對這個部分關於洗產地的這樣子的我們已經有制定相關的一些措施那也希望說因為我有鄉親跟我提到說他在網路上就看到很多關於中國大陸一些廣告他告訴他說拼多多現在可以直接郵寄到台灣
transcript.whisperx[481].start 22078.42
transcript.whisperx[481].end 22095.519
transcript.whisperx[481].text 所以他們已經在打這樣子的廣告小額包裹又是另外一個議題所以也希望說我們國人有時候在不注意的情況之下如果有進行這樣子相關的這些採購的這些行為那在這個邊境包裹的這些盤查這個稽查的部分我也希望說我們能夠加強
transcript.whisperx[482].start 22097.08
transcript.whisperx[482].end 22115.255
transcript.whisperx[482].text 那其實我也非常謝謝我們院長上禮拜六你親自到我們彰化進行這個產業的聆聽之旅那過去本席也一直要求說希望說我們政府可以多多的來聽產業的心聲雖然這次這個啟動的這個契機也許是因為危機但是我相信說只要我們肯來聽產業的聲音
transcript.whisperx[483].start 22118.177
transcript.whisperx[483].end 22133.295
transcript.whisperx[483].text 我們有這樣子的跟產業的互動我們真正的聽到他們的心聲我們才能夠制定更完整以及更全面的這些協助的方案那我再問一下其實院長剛剛意思就是說我們目前的談判其實是很正向的
transcript.whisperx[484].start 22134.618
transcript.whisperx[484].end 22149.85
transcript.whisperx[484].text 能夠排在最優先的這個順序裡面對我們來講是好事情其實因為我國的態度一直都非常的誠意也正向那我相信美方也會回應給我們相對等的這樣子的誠意讓我們的國人可以放心說不會再有更
transcript.whisperx[485].start 22151.465
transcript.whisperx[485].end 22169.914
transcript.whisperx[485].text 不好的消息傳出應該都是慢慢的是往好的方向來發展不過跟我們報告就是在4月3號之前其實我們已經陸續跟很多產業進行溝通只是那個時候真的是政策未明情勢未明大家只能只有一般的感受預防性的來談4月5號6號總統連續召集ICT產業跟中小企業也針對問題因為那個已經宣佈了32%的對等關稅5號6號就進行了更有效率的而且針對議題的討論
transcript.whisperx[486].start 22181.445
transcript.whisperx[486].end 22192.49
transcript.whisperx[486].text 那之後呢總統也到了台中我到了彰化到了高雄到了屏東各地我們看到了大概二三十個業者二三十種類的業者大家聚在一起不同的時間
transcript.whisperx[487].start 22193.291
transcript.whisperx[487].end 22219.205
transcript.whisperx[487].text 都是在談對業界最大的衝擊在哪裡那政府提出的支持方案能不能給業界比較安心的感覺我們得到的答案普遍上是肯定的但也感謝業者給我們更多的訊息希望我們還要補強哪一方面或是加大力道哪一方面這個我們都會在下禮拜對外公佈的整個支持方案的申請的時程內容跟程序方面一一的向國人做說明
transcript.whisperx[488].start 22219.765
transcript.whisperx[488].end 22237.391
transcript.whisperx[488].text 謝謝院長 所以在三個星期六 我也向院長您表達說你們要持續來收集業界的行程沒錯 我們產業之旅還會繼續走我們來滾動的來檢討 來做提供他們最有力的協助那接下來我想請交通部陳部長麻煩請交通部長備選是
transcript.whisperx[489].start 22248.851
transcript.whisperx[489].end 22275.854
transcript.whisperx[489].text 部長好 院長部長本席要來繼續追蹤關心我們選區的重大建設首先就是行政院在去年3月核定的美港公路高降化這個工程那本席有先詢問過公路局目前是在綜合規劃的階段並且也同時進行環境影響評估預計在今年的6月會提出綜合規劃的期末報告那在這邊我想請教院長及部長可不可以給我們帳號相親一個承諾不會再拖延
transcript.whisperx[490].start 22276.334
transcript.whisperx[490].end 22289.871
transcript.whisperx[490].text 因為這個期程已經延宕了很久很久那鄉親也期待了很久也因為一直延宕我們都會擔心到最後計畫會有變那也希望知道到後續環評的期程是不是可以如期在115年的6月來完成
transcript.whisperx[491].start 22292.888
transcript.whisperx[491].end 22315.513
transcript.whisperx[491].text 交通部今年四月是在完成他的中規的期中報告請部長來說明報告委員今年的四月份四月底一定會完成他的期中報告這個部分沒有問題但之後的環評可能還需要一段時間這個部分我們也會照原本的期程跟您報告的期程下去完成可是那個期程應該環評的時間不太可能在115年的6月我們盡量趕
transcript.whisperx[492].start 22317.153
transcript.whisperx[492].end 22336.894
transcript.whisperx[492].text 因為當初會希望說有一些可以重疊的部分我們盡量把它的期程拉近不要就是一個拖一個會越拖越久主要是因為說美港公路它這個合併的金額高達167.84億那後續的建設計畫細部的設計以及用地取得還有施工其實都牽扯到我們行政院的預算
transcript.whisperx[493].start 22337.475
transcript.whisperx[493].end 22364.803
transcript.whisperx[493].text 那在財化法呢將我們中央大概28%都撥給地方之後呢中央補助地方的這個經費有沒有受到影響這也是鄉親非常非常擔心的那到時候我們美港公路這個計畫會不會因為有經費上的問題而沒有辦法完工這個部分民眾一直希望說我們證券這邊可以給一個承諾就是說一定會來協助這個重大的交通建設可以完成財化法對中央的財政
transcript.whisperx[494].start 22365.41
transcript.whisperx[494].end 22368.767
transcript.whisperx[494].text 真的是發生了比較大的一些不良的影響
transcript.whisperx[495].start 22370.407
transcript.whisperx[495].end 22398.216
transcript.whisperx[495].text 如果現在這個現狀我們當然還要尋求憲法上的救濟在研議當中我說如果照這個現狀或許大家以為對今年沒有影響但是明年一定產生影響那如果我們對地方的補助他是跨年度的是是是連續性的如果今年做了補助明年沒有補助我想地方也很難在一時間完全的適應所以對很多的核定案我們現在是全部收回來重新再計算他的
transcript.whisperx[496].start 22399.217
transcript.whisperx[496].end 22420.365
transcript.whisperx[496].text 對地方補助的能量以及它的時程如何來做分配跟地方如何來分擔鄉親會覺得很著急啊就是如果這個時程越拖越久的話這個經費可能會有變所以會希望說我們行政院這邊和我們交通部盡量來協助就是盡快的把騎乘完成而且一定要完成這個對我們沿海鄉鎮非常重要的重大的交通建設所以我很希望
transcript.whisperx[497].start 22421.285
transcript.whisperx[497].end 22448.917
transcript.whisperx[497].text 維持中央財政能力地方所有的建設我們才能有效的繼續這是我期待如果財發法當時討論是有這樣的想法的話那至少他現在已經造成了一個存在的問題會有很大的衝擊這個我們真的非常的擔心所以這個部分我也希望說我們交通部這邊要緊盯相關的進度不要再延宕那同樣也是本席選區的建設還有在2月剛簽約完成的台61線的徵社入港休息站
transcript.whisperx[498].start 22449.757
transcript.whisperx[498].end 22473.871
transcript.whisperx[498].text 這個休息站對於本席的選區乃至彰化縣的鄉親意義都非常大因為這是第一個設立在彰化縣內的休息站彰化縣不會因為縣內沒有任何的休息站而一直只能被路過所以我們彰化鄉親十分的期待那公路局這邊是預計在三月份還是開設計標後續的規劃設計及施工期程目前有沒有個確定的時間
transcript.whisperx[499].start 22474.691
transcript.whisperx[499].end 22498.871
transcript.whisperx[499].text 報告委員 目前我們正在設計規劃當中未來招標的過程當中我們也會積極來辦理這個休息站其實對於整個61號來講是非常重要的一個休息站我們會加速來辦理 那今年底有沒有啟用的可能今年底怎麼樣 今年底可以啟用嗎我們目前還要再招標 還要一些時間 但是我們盡量趕那行政院的預算是不是足夠支應
transcript.whisperx[500].start 22501.38
transcript.whisperx[500].end 22526.318
transcript.whisperx[500].text 這個計劃應該影響不大因為主要是我們公務局的休息站那第三個部分我要請教就是關於我們河美美寮路拖寬的問題美寮路是我們河美東西巷一個很主要的道路是地方上就是我們跟彰化市往來的主要要道那因為它在非都市計劃路段的現有路只有8米寬在尖峰的這個時段交通量很大尤其是上下雪的時間學生
transcript.whisperx[501].start 22527.379
transcript.whisperx[501].end 22542.524
transcript.whisperx[501].text 接送的家長跟大車是跟大車正道是環向衍生說常常發生重大的車禍那終於在地方期盼已久的這樣子因應期盼之下我們在2023年6月爭取到中央的補助是4億1902萬但是現在連續兩次的土增小組會議都因為縣府這邊還要補充資料來做解
transcript.whisperx[502].start 22550.606
transcript.whisperx[502].end 22578.832
transcript.whisperx[502].text 所以這邊有兩個問題喔第一個還是鄉親關心的就是說這筆預算將來會不會因為拉了很長的時間一直延宕呢那因為經費是有時效性的導致沒有辦法來做這個美寮路的這個拓寬第二個部分是說縣府如果一直沒有辦法處理這個居民的意見加上我們整個總預算的這個部分因為要這個才化房的部分那美寮路拓寬的這個部分會不會讓居民失望
transcript.whisperx[503].start 22579.252
transcript.whisperx[503].end 22581.414
transcript.whisperx[503].text 這個已經核定的補助的金額這個不會變已經核定的補助金額不會變但是有沒有實效性
transcript.whisperx[504].start 22590.502
transcript.whisperx[504].end 22613.495
transcript.whisperx[504].text 這個應該不會有時效性啦但是地方政府他對於徵收的這個時效他自己要去加強這個不是中央能夠限制因為他已經走到土增了其實土增沒有問題的話就可以來動工土地的取得通常地方政府要來大力動工但是我也希望說相關單位是不是可以經理協助如果說縣府他比較力而未待或是他沒有那麼積極的話我們有沒有辦法可以予以協助讓這個進度可以再快一點我們可以來了解一下他的困難點在哪裡
transcript.whisperx[505].start 22614.076
transcript.whisperx[505].end 22620.098
transcript.whisperx[505].text 我們跟地方政府來瞭解他的困難點到底是什麼好 謝謝陳秀寶委員的質詢謝謝主委長 各部會所長的備詢 謝謝接下來我們請登記第53號郭鈺晴委員質詢李柏毅委員請準備
transcript.whisperx[506].start 22653.616
transcript.whisperx[506].end 22657.037
transcript.whisperx[506].text 謝謝主席有請卓院長麻煩再請卓院長備詢國務院好院長好我想川普的關稅大刀是砍向全世界但是我們台灣是第一批能夠進入到跟川普跟美國政府
transcript.whisperx[507].start 22677.267
transcript.whisperx[507].end 22705.678
transcript.whisperx[507].text 第一批的一個國家可以來做對談我想這是很好的一個機會喔那麼也希望陸續能夠聽到一些好消息一定努力好院長我想請教您一個比較簡單的一個問題喔如果這個預算呢可以隨便的凍結然後隨便再靠一個所謂的這個倒數計時器來逼行政單位來做解凍那請問這個凍結預算的意義到底是什麼那到底是為了要追蹤改善呢還是為了要政治表演所以現在有這樣子的一個狀況喔
transcript.whisperx[508].start 22707.068
transcript.whisperx[508].end 22736.692
transcript.whisperx[508].text 您覺得呢應該大家都很清楚在整個預算法裡面對於審查預算是沒有所謂凍結的這個項目的啦刪減就可以刪減通過就通過是沒有凍結凍結是因為委員們對於行政院所做的一些事情希望再提出一些說明所以把它凍結了但是如果凍結的過程他附帶了一些條件目前我們連這個條件都還沒有達到也很難在這個時候就提出要去解凍的任何程序
transcript.whisperx[509].start 22737.11
transcript.whisperx[509].end 22750.825
transcript.whisperx[509].text 好我想這個凍結的部分我們就以中研院為例這個上個禮拜其實因為我們也才跟這個中研院來做這個委員會上面的一個質詢那以中研院的這個部分在教文會當中其實我們凍結的金額是1250萬
transcript.whisperx[510].start 22753.408
transcript.whisperx[510].end 22778.005
transcript.whisperx[510].text 那看似好像沒有什麼不多啦但是別忘了其實還有所謂的這個全院凍結的部分是高達了有這個11億喔那我想呢現在呢有委員這個設計了所謂的這個解凍計時器那他們可能真的是誤以為喔這個解凍預算喔好像是把那個一塊肌肉啊從冷凍庫拿下來然後放進這個微波爐逼一下可能之後就可以馬上就可以吃了喔其實整個凍結解凍的過程
transcript.whisperx[511].start 22781.108
transcript.whisperx[511].end 22786.486
transcript.whisperx[511].text 如果從解凍送進報告口頭報告大概要經過三個月的時間對嗎
transcript.whisperx[512].start 22788.156
transcript.whisperx[512].end 22816.83
transcript.whisperx[512].text 過去解凍的例子雖然也是有但比較少要到院會裡面來通過通常在委員會裡面或者是書面報告或者是口頭的說明委員會裡面就會通過現在是很多數的凍結案都要到院會裡面來院會的時間是非常有限而且非常寶貴的我也不曉得將來立法院大院怎麼來解決這些凍結案的問題所以我們還記得1月底他們開始凍結預算刪除預算這個是1月底的事情
transcript.whisperx[513].start 22817.25
transcript.whisperx[513].end 22831.462
transcript.whisperx[513].text 然後再來三月中我們覺得自愛難行我們提出了所謂的復議但是他們也否決了這個復議那現在其實在四月初的時候我們就不斷的聽到藍白的委員一直在講說你們送金報告我們馬上就可以讓你可以動用這個金額了
transcript.whisperx[514].start 22832.796
transcript.whisperx[514].end 22848.781
transcript.whisperx[514].text 好那我們來看一下他們是怎麼操作的我不知道這樣解釋對不對但我看起來其實我就幫大家整理一下這先大規模的一個凍結其實刻意讓各個單位認為說這個很多的東西是無法正常的運行然後再來再否決你的復議案
transcript.whisperx[515].start 22849.621
transcript.whisperx[515].end 22864.236
transcript.whisperx[515].text 營造這個政府失能的一個形象然後第三個呢就是限三個禮拜之內要行政單位來交出所謂的解凍的報告那我上次其實在委員會當中其實我有特別提到這個有研究員他們也講
transcript.whisperx[516].start 22865.977
transcript.whisperx[516].end 22891.049
transcript.whisperx[516].text 雖然看似好像中研院的預算被凍結的金額不高但是也已經確定有一些項目在跟比方說在日本進行20年的這個長期的研究也被迫要被終止了那我想這樣子的監督改善放一個計時倒數計時期放在這個地方到底是為了什麼那我們還記得其實今年這個228事件其實我們邁入的第78年
transcript.whisperx[517].start 22892.35
transcript.whisperx[517].end 22915.204
transcript.whisperx[517].text 那藍白聯手煽動了大概內政部的預算也直接衝擊了228事件紀念基金會的一個運作其實已經模糊了228事件其實是台灣人的傷痕跟歷史他不斷的是用所謂的預算的權力來壓制了這個歷史跟真相而且也影響到基金會要照顧這些受難者的
transcript.whisperx[518].start 22915.874
transcript.whisperx[518].end 22942.472
transcript.whisperx[518].text 受難者本身跟這個受難家屬的一個計畫那我想呢問一下就是行政院長就是我們的行政機關是不是有信心可以堅守所謂的解凍報告堅守這個所謂的解凍的報告而不做所謂的交差形式來呼應他們這些所謂的政治上的動作因為我們也擔心我們的報告寫得太長他說你動作太慢寫得太
transcript.whisperx[519].start 22943.532
transcript.whisperx[519].end 22956.577
transcript.whisperx[519].text 寫的不夠多他說啊你忽略我你真的也不重視我的這個委員會你不尊重我這個委員會目前我們應該要怎麼樣來保護這個行政單位跟公務人員不要被這樣子的政治動作給綁架院長
transcript.whisperx[520].start 22958.146
transcript.whisperx[520].end 22977.502
transcript.whisperx[520].text 是 如果委員所說的二八基金會如果我沒有記錯他大概是三千六百多萬的預算被三減兩千五百多萬凍結了六百多萬幾乎是三千六百多萬當中的三千兩百萬不是被刪就是被凍他把媒體的政策所有的業務的費用是全數刪除而且更難為的是他把它
transcript.whisperx[521].start 22978.303
transcript.whisperx[521].end 22994.668
transcript.whisperx[521].text 集中在某一個單一的項目、科目裡面單一的項目裡面把它刪減了或凍除了所以它的業務費用是沒有辦法執行的這個是普遍發生在現在所有部會當中的所以我認為解鈴要須系鈴人解凍也要凍結人
transcript.whisperx[522].start 22997.222
transcript.whisperx[522].end 23021.085
transcript.whisperx[522].text 自己要知道過去做了這個事情之後又設了很多的門檻跟條件當我們還沒有達到的時候如果貿然提出可能又引起另外一次的批評所以這整個預算我們現在一方面在研議是否再度尋求憲政的救濟同時我們也希望是否能夠啟動過去兩院協商的機制再就目前的預算如何有效的實施對全民最有利
transcript.whisperx[523].start 23021.616
transcript.whisperx[523].end 23029.022
transcript.whisperx[523].text 我們兩個在進行有可不可能再進行一次的協商好我們只能就是繼續努力了好那接下來我想請教一下這個請農業部麻煩請農業部長備詢
transcript.whisperx[524].start 23044.81
transcript.whisperx[524].end 23061.938
transcript.whisperx[524].text 我也好部長好這根據農業部的統計因為我們是五年做一次的調查關於所謂的全國的犬貓的一些數量在2023年全國的家犬跟家貓估計是比2021年要增加了19%跟50%目前已經來到了所謂的150萬隻的家犬跟135萬隻的家貓這個還是2023年的資料279萬對
transcript.whisperx[525].start 23073.823
transcript.whisperx[525].end 23095.109
transcript.whisperx[525].text 好 那接著下來其實我相信很多人關心的就是每一個四組他們對於這個毛小孩的照顧那我們也經過這個統計就是包含每年在支出的項目的前三名對於毛小孩的一個照顧的部分第一名當然就是醫療跟照護那第二個就是我們的飼料跟零食再來第三個是美容服務跟這個住宿
transcript.whisperx[526].start 23095.689
transcript.whisperx[526].end 23119.986
transcript.whisperx[526].text 那是最為所謂的市主他們所關心的一個部分那今天其實我想要就兩個問題來請教一下我們的部長就是市主其實是非常關心所謂的飼料跟零食還有美容服務跟住宿的部分那我們就先就美容住宿的部分來向部長請教一下因為目前我們知道可以合法寄養的寵物店大概將近有3000家大概2846家
transcript.whisperx[527].start 23124.449
transcript.whisperx[527].end 23144.56
transcript.whisperx[527].text 846家又多了5家了相較於前5年來講是2184家其實已經增加了大概30%這兩年特別的快速每一個月當中其實我們就增加了大概將近有11家之多每一個月都在增加所謂的寵物寄養的數量
transcript.whisperx[528].start 23146.921
transcript.whisperx[528].end 23168.991
transcript.whisperx[528].text 那我想呢以前我們可能都會碰到說比方說我可能要出遊啦我要出差啦我要出國啦在短期的當中我可能就是叫把寵貓犬貓我可能是寄啊要不就是寵物旅館那要不就是請朋友來幫我照顧好或帶到朋友的家但是呢現在其實還有另外一種對不起另外還有一種選擇喔就是呢他們是
transcript.whisperx[529].start 23169.611
transcript.whisperx[529].end 23189.503
transcript.whisperx[529].text 放在平台當中他們所媒合的寵物保母之類的問題是現行法規當中寄宿跟安親寵物的寄養行為其實是必須要符合所謂的特定寵物管理辦法當中的規定要有特寵證
transcript.whisperx[530].start 23191.065
transcript.whisperx[530].end 23219.367
transcript.whisperx[530].text 那這個特種真的其實是向我們的經濟部來申請這個營業登記的一個項目那除了是保障所謂的這個消費者當然也要保障這個業者那當然提供相對的一個保障能夠來增加這個所謂的動物的一個福祉但是為什麼我說這個制度跟所謂的證照的部分其實真的會需要所謂的通盤的考量那最主要的原因是因為我們剛剛有提到就是
transcript.whisperx[531].start 23219.867
transcript.whisperx[531].end 23243.796
transcript.whisperx[531].text 有一些平台類似像寵物的Airbnb但是這個是平台上面它有一些些說我可以來登記我可以來照顧貓犬但是這些所謂的被寄養的這個寄養的不管是家庭也好或者是個人的短期的照護也好其實第一考量到它是沒有所謂的證照的它是沒有證照的
transcript.whisperx[532].start 23244.176
transcript.whisperx[532].end 23260.159
transcript.whisperx[532].text 那在管理的部分其實可能就會有所謂的灰色地帶那這個灰色地帶我們應該要怎麼樣發生問題由誰來負責因為我們曾經也聽到就是有一些就是毛小孩的爸爸媽媽他們把自己的毛小孩送去之後可能第一天他就骨折了
transcript.whisperx[533].start 23260.479
transcript.whisperx[533].end 23284.638
transcript.whisperx[533].text 那到底這個責任要歸咎這個平台呢還是要歸咎這個所謂的寄養的這個家庭那在專業的照護的寄養跟這個商業的寄養當中有沒有符合所謂的專業技術的一個門檻到目前為止其實我們還沒有所謂的官方的一個管理的機制或者是考核的一個機制那就這個部分農業部這邊我們可以扮演什麼樣的角色怎麼樣來輔導他們呢
transcript.whisperx[534].start 23286.983
transcript.whisperx[534].end 23306.295
transcript.whisperx[534].text 我跟委員報告就是我們現在在做的大概分為兩個面向一個面向是制度面的部分就是剛才特別提到的我們如果是專業的寄養我們有相關的要向中央主管機構向各地方去登記但是你剛才講像BMB的部分這種類似寵物保母的這個部分
transcript.whisperx[535].start 23306.815
transcript.whisperx[535].end 23328.717
transcript.whisperx[535].text 那我覺得人的能力一定要先被建立所以我們現在正在規劃類似我們寵物美容的技術式一樣我們會變成一個動物照護的一個技術式讓他領有丙級的這個證照先把人處理了以後然後第二個部分就是我們希望說建立一個所謂的寄養或是相關的這個
transcript.whisperx[536].start 23329.838
transcript.whisperx[536].end 23346.29
transcript.whisperx[536].text 所謂的定型化契約那定型化契約就可以釐清相關的責任因為現在目前並沒有所謂定型化契約的責任所以先就這兩點我們先現在目前我們是有所謂的寵物的美容定型化的契約但是沒有寄養但是寄養的部分其實是還沒有的
transcript.whisperx[537].start 23347.011
transcript.whisperx[537].end 23369.96
transcript.whisperx[537].text 好那大概什麼時候因為我剛剛有聽到部長您說現在目前已經在規劃了大概最快什麼時候可以上路我是跟我們的動保師講說在五月底之前要把所有的這個包括我們的定型化契約先做出來那有關於寵物照護的這個技術是拿丙級證照的我希望他六月底的時候能夠把相關的規範因為他比較嚴謹必須要有一些規範
transcript.whisperx[538].start 23370.7
transcript.whisperx[538].end 23394.992
transcript.whisperx[538].text OK 好 所以我們聽到兩個比較肯定跟正面的一個答覆了就是說關於寵物定型化的契約我們是在五月底那另外就是關於所謂的照護者他們自己本分的證照的一個認可我們可能希望能夠在六月底的部分好 那第二個問題我想要關心的就是寵物食品安全的問題了我想這個寵物食品安全問題也是很多的這個事主他們其實也都有相對的一些澄清案件跟提出
transcript.whisperx[539].start 23395.592
transcript.whisperx[539].end 23407.779
transcript.whisperx[539].text 那首先我先要謝謝就是我們的基層的行政人員對於所謂的這個農業部我們在這個食安就是寵物的食安的部分其實我們也有相對來講其實比過去更加嚴謹的一個把關但是現在凸顯的一個問題
transcript.whisperx[540].start 23410.78
transcript.whisperx[540].end 23426.201
transcript.whisperx[540].text 我們看到光是寵物食品登記業者從2018年的642家到2022年增加到所謂的3286家其實累計已經增加了將近4倍這個還是只有在2022年之前的一個資料但現在可能又不止了
transcript.whisperx[541].start 23426.681
transcript.whisperx[541].end 23450.723
transcript.whisperx[541].text 那我想這個寵物食品目前申報的部分其實我們是鼓勵他們能夠主動申報自主申報但問題是在自主申報的這樣子的一個狀況之下其實就有很多很多的漏洞會跑出來了我們舉例來講像之前我們看到這個主動申報的一個方式我個人認為其實是比較難以確保寵物食品安全
transcript.whisperx[542].start 23451.263
transcript.whisperx[542].end 23468.241
transcript.whisperx[542].text 因為在這個這個應該算是在去年為例有381件的違規當中其實有335件大概88%將近快要90%其實就是沒有按照申報而違規的這個案例其實這個比例上是高的我們怎麼樣來
transcript.whisperx[543].start 23469.162
transcript.whisperx[543].end 23484.307
transcript.whisperx[543].text 改變這個制度就是從主動申報還是我們要主動去稽查因為市面當中有太多其實跟源頭也相關包含寵物食品的源頭代工廠其實他們都有可能會是問題最重要的一個源頭這個部分我們怎麼樣來加強
transcript.whisperx[544].start 23485.834
transcript.whisperx[544].end 23512.574
transcript.whisperx[544].text 我想同樣也是分兩個部分就像委員一直要期待我們的那個寵物專法但是寵物專法現在目前已經經過預告而且重新收斂了以後正在我們的法規會去做審議 主要確認然後就會送行政院但是在這個法完全通過之前我們也是要協助就是用過往的這種自主申報它有很多灰色地帶跟漏洞的部分如果我們從
transcript.whisperx[545].start 23513.855
transcript.whisperx[545].end 23532.853
transcript.whisperx[545].text 去年度的違規的樣態來講21.6%左右是屬於申報樣態不符合的那申報樣態不符合表示說有一些寵物食品它的規列可能業者不是非常清楚那這個部分我想我們會更積極的把它的正面表列的部分去處理讓業者能夠針對它的樣態能夠處理
transcript.whisperx[546].start 23535.936
transcript.whisperx[546].end 23556.954
transcript.whisperx[546].text 第二個部分是標示不實的部分大概佔了百分之16.5的左右大概16.5那這個標示不實的部分就牽扯到裡面的內容物就是寵物食品的有害物質跟它的這些不該有的這些物質本身它的規範不明確那這個部分我們今年特別的增加了五種
transcript.whisperx[547].start 23558.015
transcript.whisperx[547].end 23571.646
transcript.whisperx[547].text 相關的這些有害物質的這些公告包括含有汞的部分然後希望說能夠讓毛小孩更健康的用他的飲食好 議會最後其實我們在輸往歐盟的這個所謂的外銷的部分
transcript.whisperx[548].start 23591.288
transcript.whisperx[548].end 23618.244
transcript.whisperx[548].text 好 謝謝郭益勤委員的資訊謝謝卓院長 相關部會所長的備詢 謝謝報告院會 現在我們立法院又來了兩個團一個是來自美國國會議員助理訪問團Welcome amigos amigas welcome另外一個來自於美國青年領袖訪問團熱情歡迎 我們掌聲鼓勵好 接下來我們請李博益委員請質詢楊瓊英委員請準備
transcript.whisperx[549].start 23634.982
transcript.whisperx[549].end 23637.255
transcript.whisperx[549].text 來 有請卓院長麻煩再請卓院長備詢
transcript.whisperx[550].start 23646.943
transcript.whisperx[550].end 23673.707
transcript.whisperx[550].text 李委員好院長前天剛見面今天很榮幸我們在這邊可以來對高雄的建設做一些進度的請教但是在進度請教之前我想現在全台灣國人最關心的也就是美國關稅的問題其實我今天有看到一則更令我震驚以及關心的新聞院長你有看過這一本知道這一本書嗎Careless People
transcript.whisperx[551].start 23675.54
transcript.whisperx[551].end 23703.055
transcript.whisperx[551].text 他是一個FB的前總監他在2011到2017年這個作者Williams他的書的內容裡面寫到然後所以這本書目前是正被臉書的公司他們用這個仲裁的方式要求他停售但是他在Amazon上面還是找得到這本書裡面主要指控
transcript.whisperx[552].start 23704.825
transcript.whisperx[552].end 23719.664
transcript.whisperx[552].text 臉書配合中共開發工具審查台港高流量的帖文簡單說在台灣香港超過一萬個站以上的這些帖文你要看到的話其實是經過中國審查
transcript.whisperx[553].start 23724.969
transcript.whisperx[553].end 23744.051
transcript.whisperx[553].text 所以他的這些指控我希望院長這邊以及我們整個國安團隊可能都必須要非常注意他現在包含他現在的進度是正在美國參議院做相關的這些聽證會針對這個院長你有沒有什麼想法
transcript.whisperx[554].start 23745.066
transcript.whisperx[554].end 23767.105
transcript.whisperx[554].text 有的這個訊息在網路上是一直在傳送而且我先接到的部分有一大部分是從國外的朋友傳進來給我們看表示說不僅是國內看到國外也非常重視我想資通訊的安全對全世界來講都是一個重大的威脅每個國家對於自己的安全以及在
transcript.whisperx[555].start 23767.985
transcript.whisperx[555].end 23790.142
transcript.whisperx[555].text 國家裡面這種社群平台上互相可以被來作為威脅或是利用的這種狀況都非常的謹慎所以我希望這個事情能夠儘快的調查如果有必要做一些仿製也希望相關美國的規定法律也能夠做有效的一個制止全世界都很關心那最會關心台灣的這些審查台灣這些內容的我想
transcript.whisperx[556].start 23790.862
transcript.whisperx[556].end 23816.66
transcript.whisperx[556].text 莫過於中國啦今天總統有說台灣一天遭受到這種網路攻擊的是幾百萬次這個也是啊那所以其實面對美國關稅的時候我整理一下齁中國國民黨包含他們的總召他的要求是台積電聯電赴美先來立法院報告民眾黨他當下的反應看到美國關稅的反應是說要霸佔白宮 罷免川普
transcript.whisperx[557].start 23817.813
transcript.whisperx[557].end 23839.392
transcript.whisperx[557].text 中國國民黨副總統候選人趙少康他的第一個反應是說要求政府停止對美投資要爭取中國市場中國國民黨另外兩位委員分別主張對美國報復以及離島自貿條例要替中國洗產地選隊友很重要院長
transcript.whisperx[558].start 23840.495
transcript.whisperx[558].end 23850.395
transcript.whisperx[558].text 要選對的隊友因為選不對的隊友像中國要提高這些關稅中國目前面臨到的是145%的關稅而且沒有要談
transcript.whisperx[559].start 23851.445
transcript.whisperx[559].end 23878.683
transcript.whisperx[559].text 那很高興我們現在已經這是樂觀的好消息我們現在已經跟美國在談但是絕對必須要非常嚴謹謹慎包含院長很感謝你禮拜天就來到高雄跟我們的船產業者跟高雄的製造業大家也知道高雄過去由鋼鐵石化以及造船這三個產業延伸出來的包含扣件包含遊艇產業分別遇到的問題
transcript.whisperx[560].start 23879.861
transcript.whisperx[560].end 23890.254
transcript.whisperx[560].text 院長那天也聽到高雄的知名的遊艇製造者他說美國是佔整個遊艇市場的80%目前採的關稅是很低萬一不要說32%
transcript.whisperx[561].start 23901.816
transcript.whisperx[561].end 23927.409
transcript.whisperx[561].text 20%、10%都有可能造成台灣目前發展的很好的遊行產業它面對其他的國家的競爭會失去競爭力所以希望院長可以持續的關注除了半導體高科技產業之外對於高雄的這些傳統製造業的相關的這些關注也必須要保持當天有一件事情其實院長你跟我坐的也比較遠沒有看到
transcript.whisperx[562].start 23928.149
transcript.whisperx[562].end 23944.668
transcript.whisperx[562].text 就高雄的這個工業理事長蔡圖進理事長他在談到夏季電費的時候我旁邊的國民黨委員居然也舉手說要支持欸我就拿了一個牌子我就拿了一張紙啊院長你看這上面它上面寫台電1000億啊
transcript.whisperx[563].start 23946.443
transcript.whisperx[563].end 23971.092
transcript.whisperx[563].text 國民黨馬上忘記他1月的時候刪了台政府要撥補台電1000億的經費然後在那邊高舉雙手說我也要支持我們夏季電費的討論我覺得這是非常非常健忘的事情我們還是不斷的要提醒中國國民黨曾經做了什麼事院長 相關的這些對於製造業的這些具體的政策希望院長可以做相關的這些保持
transcript.whisperx[564].start 23971.832
transcript.whisperx[564].end 23988.198
transcript.whisperx[564].text 好 謝謝委員當天我們在高雄見到了鋼鐵業 扣件還有智慧機械還有自行車 汽機車 遊艇還有石化跟塑膠整個八大產業都在現場聆聽他們的對產業的衝擊也收集各種的意見
transcript.whisperx[565].start 23988.959
transcript.whisperx[565].end 24007.568
transcript.whisperx[565].text 在4月3號之前其實我們對各個產業也做了相當多的研判分析討論也很多的涉算4月3號美國第一次發布32%的這個對等關稅之後總統一再要求行政團隊務必要穩住所以剛剛您提到的很多的意見我們並沒有道聽途說我們還是穩穩的調齋
transcript.whisperx[566].start 24010.649
transcript.whisperx[566].end 24034.251
transcript.whisperx[566].text 就不會失去方向當天看到的很多產業其實他們已經在東南亞有設廠所以面對他們在東南亞已經設廠東南亞接下來的談判會多少其實跟台灣這一些製造業接下來可能會面對的這些關係都是有相關的價格有的台商還在大陸上有的到南向國家去有的他希望現在要進到美國去
transcript.whisperx[567].start 24034.631
transcript.whisperx[567].end 24054.788
transcript.whisperx[567].text 都有各種不同的產業衝擊但是同樣的我們也希望台商能夠回到台灣來增加台灣跟留台灣在這個時候我們的水電土地人力人才都要充分的供應所以電的問題大家談到了我們對台電的補助我還是要極力的爭取謝謝院長接下來下下題就要跟你談到水電交通我先講這個
transcript.whisperx[568].start 24057.062
transcript.whisperx[568].end 24082.734
transcript.whisperx[568].text 院長感謝你3月帶了一台華航A330來到高雄來跟你介紹一下這些恭喜這個告五人成為天團因為高雄市運主場館只要是天團才有辦法來高雄市運主場館但是包含我剛剛列的這些紅髮愛德、五月天、G.I.IDOL
transcript.whisperx[569].start 24084.042
transcript.whisperx[569].end 24098.667
transcript.whisperx[569].text 火星人,Marion5,高五人,Coplay,Blackpink他們都是來高雄主場館,他們都公認是天團但是來高雄主場館沒有直飛的飛機,沒有歐美直飛的飛機
transcript.whisperx[570].start 24099.907
transcript.whisperx[570].end 24127.124
transcript.whisperx[570].text 我們只有小型飛機所以感謝在我上一次跟院長提出這個質詢之後很快的在華航半年內已經調度A330原本就有飛高雄的飛機謝謝陳部長以及華航A330就在3月30號那天飛抵高雄還有還有下一頁其實對美國大家知道美國波音波音公司那華航目前也在做一些採購
transcript.whisperx[571].start 24128.164
transcript.whisperx[571].end 24148.045
transcript.whisperx[571].text 那包含國內其他航空公司包含長榮、新宇那對歐洲的這個A350也都在做新的採購院長我要的是新飛機可不可以調一台新的飛機來不管是華航或者是如果其他長榮或新宇航空他們願意飛小港機場用
transcript.whisperx[572].start 24149.486
transcript.whisperx[572].end 24167.592
transcript.whisperx[572].text 這個廣體客機用A350或用B787飛機來飛高雄我覺得我們交通部可以研擬一些對他們的一些優惠措施包含他們停機費用包含他們這些航空櫃台的這些收費或者是他們可以優先使用這些櫃台這個部長你可不可以做這一方面的安排
transcript.whisperx[573].start 24167.992
transcript.whisperx[573].end 24191.42
transcript.whisperx[573].text 部長在怎麼努力好 報告委員這個部分我們會繼續努力就是說針對飛機的費用停到機場的費用這個節目我們來跟民航局討論另外針對包機的部分我們也請觀光署一起來努力我們的目標是定期航班爭取更多的飛機跟大型飛機能夠降到高雄的小港機場是我們一直在推的政策目標飛機是這樣
transcript.whisperx[574].start 24193.101
transcript.whisperx[574].end 24221.358
transcript.whisperx[574].text 他在A330他停在高雄那他目前的安排是人穿早上飛人穿下午飛大阪其實還有晚上可以飛啊來幫我回到上一夜飛機的起降時間高雄已經接下來已經是南部的這個矽谷重鎮了那阿姆斯特丹艾斯摩爾在那裡然後慕尼黑有這個INFRON他是德國的車用晶片
transcript.whisperx[575].start 24222.13
transcript.whisperx[575].end 24242.956
transcript.whisperx[575].text 那矽谷大家就舊金山大家知道矽谷洛杉磯大家知道那也有非常多的這些台灣人他是居住在澳洲布里斯本這些晚上都可以飛的而且其實調整一下他的起飛時間他其實可以不用受到宵禁的影響是不是部長可以做這一方面的研議
transcript.whisperx[576].start 24243.966
transcript.whisperx[576].end 24263.591
transcript.whisperx[576].text 這個部分我們來研議另外就是說針對要飛長線航空我們需要更多的轉機客所以目前我們先把小港機場作為區域一個很重要的一個航空站讓各國的東南亞也好東北亞也好的旅客可以飛來這裡未來轉機往長遠的方向下去飛例如說聯合航空在7月
transcript.whisperx[577].start 24264.231
transcript.whisperx[577].end 24287.586
transcript.whisperx[577].text 飛往舊金山我們就會從高雄來出發那這個部分我們繼續來爭取跟民航的這個航空公司大家一起來配合那民航局也會來協助對 但其實不只高雄它是對整個南部旅客都有很重要的影響是 院長也都指示說南北雙空港對 跟委員報告高雄小港跟桃園機場是我們未來的南北雙空港
transcript.whisperx[578].start 24288.707
transcript.whisperx[578].end 24288.727
transcript.whisperx[578].text 謝謝 飛機先來 謝謝
transcript.whisperx[579].start 24311.3
transcript.whisperx[579].end 24326.822
transcript.whisperx[579].text 接下來我要講從我去年來到立法院以後其實我就在追中油企業總部大樓那去年二月的第一次的時政報告質詢中油給我的回覆是居然是給我一個七成的研發大樓
transcript.whisperx[580].start 24328.932
transcript.whisperx[580].end 24353.092
transcript.whisperx[580].text 追到今年的3月中油總賺回復了接下來將花一年半的時間預計在2032年院長已經催促他們在2030年希望中油企業總部大樓可以落成除了企業總部大樓落成之外我還要跟院長爭取一樣其實中油是不是應該要現在就開始評估實質難簽
transcript.whisperx[581].start 24360.08
transcript.whisperx[581].end 24377.755
transcript.whisperx[581].text 我們希望透過中油實質南遷那這個企業總部大樓它其實就座落在TSMC高雄廠區的隔壁那接下來TSMC其實它來到高雄的這一段時間其實我們也包括我們也協調台電做了這個專用的高壓電
transcript.whisperx[582].start 24378.716
transcript.whisperx[582].end 24402.291
transcript.whisperx[582].text 那也幫男子產業園區拉了一條專用的高壓電過去維持這些電力的穩定的使用那我們希望其實中油陳其邁市長那天講了一句話他說中油如果眼光好的話現在其實就要開始評估來高雄院長還是部長要回應2016年中油的營業所在地就已經是在高雄
transcript.whisperx[583].start 24404.127
transcript.whisperx[583].end 24419.414
transcript.whisperx[583].text 這公司登記在高雄他現在要增加一個高雄南部的企業大樓不要只蓋一棟大樓希望他真的前來高雄這個請部長再看看是 報告委員我們現在準備興建這個中油南部企業大樓
transcript.whisperx[584].start 24420.214
transcript.whisperx[584].end 24449.511
transcript.whisperx[584].text 大概119年部長間段我們希望不是只有大樓我們希望中油公司遷來不是只有公司註冊遷來是把整個公司移來高雄上班因為中油主要的產力是在高雄我們也有在討論就是說以高雄這個南遷以後的優劣點現在都已經進入到最後討論的這個階段謝謝部長接下來因為面對財化法那高雄有幾個建設是我不斷的在爭取的包含新台石期限包含捷運子線
transcript.whisperx[585].start 24450.234
transcript.whisperx[585].end 24451.267
transcript.whisperx[585].text 包含台鐵立體化
transcript.whisperx[586].start 24451.857
transcript.whisperx[586].end 24478.858
transcript.whisperx[586].text 包含高鐵的月台直通高雄捷運的這個地下道還有教育部的研究園區就是國家重點領域校際研究園區就是清華大學以及陽明交大即將來高雄設校這幾個當然過去行政院已經核定了計畫行政院可以繼續的來支應
transcript.whisperx[587].start 24480.379
transcript.whisperx[587].end 24508.229
transcript.whisperx[587].text 但是我講新台17線在這邊先感謝院長新台17線在去年9月軍方國防部突然提出要新設戰備跑道以及山洞待拆待建我經過4到5個月不斷的跟行政院協調感謝院長在這邊核定新台17線最難最困難的一段也就是在軍區裡面這一段感謝院長核定
transcript.whisperx[588].start 24509.239
transcript.whisperx[588].end 24528.164
transcript.whisperx[588].text 現在會分成兩部分來處理一個是這個德明路到中海路中海路到碧聖路就是最難做的就是中海路到碧聖路這一段會在115年跟116年分別把這兩個路段完成也謝謝委員長年為地方的爭取但是有一個還沒核定的也就是再往南有一個變成新的計畫
transcript.whisperx[589].start 24529.344
transcript.whisperx[589].end 24552.427
transcript.whisperx[589].text 當然新的計畫我也會跟高雄市政府來協調面對這個財化法如果我們的憲法就計未成往南的這一個可能要兩億的經費的這個計畫可能會有一點影響所以在這邊先感應一點拜託我真的希望維持中央政府財政的能力我們才能夠把這些地方建設繼續下去一起地方跟中央充分的合作謝謝院長 謝謝部長 謝謝委員 謝謝
transcript.whisperx[590].start 24556.083
transcript.whisperx[590].end 24567.832
transcript.whisperx[590].text 好 謝謝李博義委員質詢 謝謝卓院長 各相關部會所長備詢 謝謝接下來我們請登記第55號 楊瓊英委員請質詢謝謝院長 本期邀請行政院院長麻煩請卓院長再次備詢
transcript.whisperx[591].start 24591.834
transcript.whisperx[591].end 24606.697
transcript.whisperx[591].text 杨委员好院长好本席首先今天要跟你分享也请你聆听一下我现在没有时间了时间在你们的手里一周八天一年六季你们是上帝而我的肋骨跟脊椎已经
transcript.whisperx[592].start 24607.478
transcript.whisperx[592].end 24624.71
transcript.whisperx[592].text 被你們通通收去我現在沒有時間了我會在駕駛的時候睡覺看護的時候夢遊蹲馬桶的時候吃便當抽菸的時候抱小孩而你們在開會的時候數錢度假的時候數錢打拋的時候數錢其實根本不用數
transcript.whisperx[593].start 24625.811
transcript.whisperx[593].end 24645.291
transcript.whisperx[593].text 炸之機的簽款會直接通往你們家裡的保險箱我現在沒有時間了鬧鐘在你們的手裡但我不打算交出我手裡的電池我不打算交出我的脊椎我不打算交出我的孩子跟我自己那一點點抬頭看望天空的時間我不打算交出我的天空
transcript.whisperx[594].start 24645.891
transcript.whisperx[594].end 24672.029
transcript.whisperx[594].text 土地需要時間才能回臥毛蟲需要時間才能變成蝴蝶我需要時間才能呼吸您也需要時間才能認出鏡子裡頭字跡我相信這些字或許有一點刺眼有一點刺耳但是都是我們在前線勞工在過勞的困境當中看到政府沒有辦法有作為的時候他只能用詩詞用文字
transcript.whisperx[595].start 24676.291
transcript.whisperx[595].end 24695.844
transcript.whisperx[595].text 我希望政府能夠藉由這一首詩重新的來檢討勞動政策我也希望執政黨的官員們不要變成Shamping Socialist這是非常的重要過去執政黨號稱跟勞工團體站在一塊我們的前總統蔡英文小姐也說
transcript.whisperx[596].start 24696.704
transcript.whisperx[596].end 24719.176
transcript.whisperx[596].text 他勞工是民進黨心中最軟的一塊但是民進黨推動勞基法修惡法砍掉了七天假勞工低薪又過時貧物差距越來越大勞動的條件也越來越差這樣的狀況我看到我們的政府還是看不到作為到現在台灣已經變成過勞之島院長你知不知道
transcript.whisperx[597].start 24723.038
transcript.whisperx[597].end 24743.116
transcript.whisperx[597].text 由在野黨來提醒執政黨9年提醒過去號稱的跟支持勞工的民進黨你不覺得有一點諷刺嗎因為在2023年的年總工時我們達到了2020小時為全球主要國家的第五高
transcript.whisperx[598].start 24744.257
transcript.whisperx[598].end 24760.167
transcript.whisperx[598].text 亞洲地區主要國家的第二高我們僅次於誰呢僅次於新加坡近三年的工時不斷的在增加台灣已經成為過勞之島院長我們要如何處理你覺得我們是過勞之島嗎請做說明
transcript.whisperx[599].start 24762.934
transcript.whisperx[599].end 24779.597
transcript.whisperx[599].text 兩個部分第一個所謂七天假並不是砍掉而是在實施週休二日之後他當時在前前前政府的時候就是這樣在設定馬總統的時候那是這樣在設定的所以七天假沒有所謂砍掉的問題現在是大家在評估說整個社會經濟進步的情況底下
transcript.whisperx[600].start 24780.117
transcript.whisperx[600].end 24792.553
transcript.whisperx[600].text 有人提出各種休假的方式但這個截然跟所謂七天假不相干另外我們的工時比較長因為我們計算的方式如果把部分工時也算在裡面的話我們其實是沒有那麼長的這個再請部長來做仔細的說明請稍等
transcript.whisperx[601].start 24795.717
transcript.whisperx[601].end 24821.039
transcript.whisperx[601].text 院長你說沒有砍掉七天價而且這也是不相關大家都聽到了我要告訴你本席具體數字告訴你公時可分為制度公時實際公時我們根據資料跟學者的通書我們來看數字台灣跟日韓來做比較法定的公時一樣單週是40個小時但是看似不比別人差但是最重要的差別是什麼
transcript.whisperx[602].start 24821.96
transcript.whisperx[602].end 24850.127
transcript.whisperx[602].text 是永薪假日韓國定的假日呢他分別是16天跟15天都比我們台灣的12天還要高特休的部分我們看到在整個年薪滿15年之前台灣的特休假的基本上我們也是少於日韓喔所以台灣的青年他出入職場的時候他是更過勞更痛苦在這樣的情況之下台灣的勞工加入出入加入職場的他的一個
transcript.whisperx[603].start 24851.187
transcript.whisperx[603].end 24870.227
transcript.whisperx[603].text 前兩年的一個時間點是多少公時是1900小時以上年資到30年到9年的部分甚至停滯在1860個小時所以它的時數都比日韓出入職場的還要高你要知道中小企業目前我們的平均的這個壽命是13年
transcript.whisperx[604].start 24871.849
transcript.whisperx[604].end 24891.939
transcript.whisperx[604].text 年資15年後才能夠比較有這個特休的一個設計在這樣情況之下加上我們的國定假日被砍不還那根本就是在壓榨我們整個的年輕勞工所以這樣子不是過勞什麼才是過勞呢所以本席要在這邊說明減少勞工
transcript.whisperx[605].start 24894.86
transcript.whisperx[605].end 24923.61
transcript.whisperx[605].text 你們政府也一直在努力但是本是告訴你減少勞工也就是還勞工的七天假洪部長你記得洪委員嗎當時呢您也簽署了執政黨的委員也就是要怎麼樣降低工時所以院長在我們台灣面臨這樣子的一個過勞的情況甚至我們的年輕人青壯年的勞工的一個窘境他會影響到我們整個
transcript.whisperx[606].start 24924.45
transcript.whisperx[606].end 24953.149
transcript.whisperx[606].text 國家的一個勞動少子化以及經濟這是國家大計這是國安大計所以我們如果持續的低薪那低薪改變不了的時候我相信減少工時不就是我們應該作為改革的重點嗎所以部長在你之前在立法院回答的時候我很高興的聽到你支持勞工的工時降低您現在的主張是不是一樣的態度呢請院長說明
transcript.whisperx[607].start 24954.59
transcript.whisperx[607].end 24963.656
transcript.whisperx[607].text 請院長說明請院長說明因為這是部長院長您說明啊部長之前的說法跟現在一致我跟楊委員說明確實台灣的工時的問題我確實覺得有改善的空間
transcript.whisperx[608].start 24973.446
transcript.whisperx[608].end 24997.103
transcript.whisperx[608].text 我認為確實有改善的空間事實上這幾年這個政府其實也很努力的希望來提高薪資其實提高跟薪資跟降低工時也是有關係的因為就是希望能夠把薪資的提高讓一些我們一些勞工他可能不會因為他的薪資過低所以他必須被迫要來加班所以就你的本業我們要怎麼樣降低工時你的措施在哪裡請教你
transcript.whisperx[609].start 24998.304
transcript.whisperx[609].end 25020.141
transcript.whisperx[609].text 所以楊偉榮說明這幾年其實我們包括我們的基本工資其實一直在提升第二個其實我們現在會來提出關於薪資透明化的做法那薪資透明化其實也會有助於實質的薪資的提升其實事實上這兩年在薪資的提升上面是有成果的但我說實話我自己覺得當然還不夠請教工時的部分
transcript.whisperx[610].start 25020.981
transcript.whisperx[610].end 25047.084
transcript.whisperx[610].text 對 那我說薪資的提高跟工時之間是有關係的那至於剛剛楊委員可能講到的是國定假日的問題我自己覺得國定假日的問題從勞動部的角度來說我認為這是有討論的空間的非常感謝我們現在的洪部長還是支持以前洪委員的這個論點那所以本期要說明在我們的這個委員會裡頭已經國民黨所提案已經有整合出一個版本
transcript.whisperx[611].start 25047.544
transcript.whisperx[611].end 25067.462
transcript.whisperx[611].text 而且出了委員會就送到院會代協商是將這五天至少還有五天還五天那請教院長你會不會支持這樣的方案我剛剛跟委員報告過2016年的時候馬前總統那個時代請教院長你會不會支持這樣子的方案因為您現在是院長
transcript.whisperx[612].start 25069.644
transcript.whisperx[612].end 25084.071
transcript.whisperx[612].text 對這個國定假日如何去定義不要跟所謂七天假混在一起談不要混在一起啊那不要混在一起請問你們什麼時候要提出版本有沒有行政院版本大家都聽到了 不要混在一起
transcript.whisperx[613].start 25084.952
transcript.whisperx[613].end 25100.273
transcript.whisperx[613].text 換句話說再一次禮貌的請教你會不會支持目前在委員會所討論紅部長都在現場委員會所討論的也就是將國定的假日五天假送到院會要來協商請問行政院會不會支持
transcript.whisperx[614].start 25100.954
transcript.whisperx[614].end 25118.421
transcript.whisperx[614].text 我們有我們的想法那你的想法非某人支持想法也有支持的啊我的想法是想委員要跟大家一起說跟老公朋友一起說在馬前總統的時候就說到了那個條件就是實施週休二日之後就沒有所謂七天假不要把它混在一起談
transcript.whisperx[615].start 25119.781
transcript.whisperx[615].end 25139.597
transcript.whisperx[615].text 現在已經在立法院委員會已經送出了我想要請洪部長給院長報告一下我也希望得到行政院的一個支持我們真正的幫助我們的勞工這個非常重要同時剛剛院長說了你們有你們的想法我也希望你們會不會送版本到立法院來請說明
transcript.whisperx[616].start 25141.685
transcript.whisperx[616].end 25169.044
transcript.whisperx[616].text 會不會送七天假或五天或幾天會不會送有沒有經過科學的評估到底對國內的產業影響多少對勞工的工時降低多少要經過科學的評估這個在委員會都充分的討論所以院長我請你用點心協助我們的勞工我相信你一定有這個心你好好地協助我們的勞工把院板送來謝謝你接下來本席要討論的也就是我們世界潮流我們的能源政策
transcript.whisperx[617].start 25169.784
transcript.whisperx[617].end 25193.88
transcript.whisperx[617].text 部長 院長 台灣在2025年非核家園的目標下今年的五月份將會關閉我們的這個第三核能電廠的二號機那達到了非核家園在這樣的情況之下同時我們看到再生能源是來不及補足我們台灣電力的一個缺口那我們只能夠仰賴什麼呢再生能源來不及的時候就仰賴南美
transcript.whisperx[618].start 25194.68
transcript.whisperx[618].end 25214.55
transcript.whisperx[618].text 就仰賴我們的天然氣嘛發電但是這不僅違背了2050年的一個淨零碳排也可能可能會被課徵碳關稅也可能會被課徵喔所以在這樣的情況之下我們急迫的看到台電的員工很辛苦台電呢他累計的虧損將近4千億今年1月份他們的財報出來又增加了121億的虧損其中太陽能的虧損是5.8億
transcript.whisperx[619].start 25224.755
transcript.whisperx[619].end 25241.63
transcript.whisperx[619].text 風力是58億外購燃氣的部分是17億那唯一沒有缺的沒有虧的就是有盈餘7億多的核電換句話說未來還是會繼續虧這樣子的一個方向政策所以院長
transcript.whisperx[620].start 25242.35
transcript.whisperx[620].end 25260.673
transcript.whisperx[620].text 台電的虧損他應當最重要的是能源政策有問題因為這個數字已經告訴你了台電堅強還是要買高的綠電那這個是慘虧的原因那我們繼續來看到目前為止執政黨把發電平均1.12元最便宜的核電
transcript.whisperx[621].start 25261.934
transcript.whisperx[621].end 25286.784
transcript.whisperx[621].text 要廢棄不用了但是我們的藍煤跟藍漆的部分是2.5到3塊我們的綠電我們又看到光電風電要多少5塊到6塊半所以在這樣的情況之下有學者推估去年台電很辛苦台電背了一個黑鍋因為購入了火力發電跟風力發電以外以外的支出超過600億
transcript.whisperx[622].start 25288.194
transcript.whisperx[622].end 25294.071
transcript.whisperx[622].text 超過600億 院長核電可以作為基載電力再生電源不行
transcript.whisperx[623].start 25295.287
transcript.whisperx[623].end 25320.676
transcript.whisperx[623].text 在這樣的情況之下很多的國家考量到整個電力的穩定性而且又要不排碳的電力他們都有希望要保留核電那現在AI的算計它的電力的需求量又是非常非常高電力就等於是國力科技的巨頭以及先進的國家都開始在使用核電台灣背道而馳
transcript.whisperx[624].start 25321.616
transcript.whisperx[624].end 25350.66
transcript.whisperx[624].text 那么没有核电的计划跟配套所以院长在气候变迁的副招集人童子贤先生他也说了他说以一年用电3000亿度来计算每一度如果差一块钱那一年国家支出额外的多少3000亿元所以他说他呼吁让核电来帮忙吧他可以每一年替台湾省下N千亿元
transcript.whisperx[625].start 25351.641
transcript.whisperx[625].end 25378.284
transcript.whisperx[625].text 所以院長在這樣子的情況之下又在這個會議當中不只童子仁先生吶喊我們的中研院的廖院長他也說未來的AI用電需求量可能無上限台灣的土地面積以及再生能源的總量它也有上限所以因此我們必須要考慮其他的能源能夠來因應未來的一個需求
transcript.whisperx[626].start 25378.985
transcript.whisperx[626].end 25395.543
transcript.whisperx[626].text 他说在过去德国因为他有两周缺了阳光跟缺了风所以他就向邻近的国家法国以核能为主要能源的来进口核电我们是不是应该也要效法
transcript.whisperx[627].start 25397.344
transcript.whisperx[627].end 25420.992
transcript.whisperx[627].text 這個德國的一個做法在這樣的考量之下我們更必須要將我們的能源安全能源成長以及台灣目前所需要的這些狀況納入整體性的一個評估所以院長在我們世界各國如此的作為我們是反逆的世界潮流還是要配合所以我們我也藉由美國前任的這個
transcript.whisperx[628].start 25421.952
transcript.whisperx[628].end 25434.882
transcript.whisperx[628].text 在台協會這個司徒文處長所說的他參加了2025年區域安全兵推的時候他說了一句話問你一句話為什麼台灣政府要反對核能請說明
transcript.whisperx[629].start 25435.936
transcript.whisperx[629].end 25463.144
transcript.whisperx[629].text 我先報告委員兩件委員應該知道的事情是請郭部長回答第一個委員應該知道我們的河山廠40年期限到了這是河管法的規定依照河管法40年期限到就必須處理這個現狀這我已經告訴你答案了第二個委員應該知道的事情我們現在開始到20303032年之間我們除了多元發展綠電之外我們有六座大型的電廠以氣換煤在排
transcript.whisperx[630].start 25464.176
transcript.whisperx[630].end 25480.793
transcript.whisperx[630].text 降低這個排碳 更新設備 放大它能量包括大嶺 包括興達 包括通宵 包括台中 包括林口 包括協和這個委員都清楚的很好 院長你如數家珍也表示你知道這個問題的嚴重性因為本席要告訴你
transcript.whisperx[631].start 25482.515
transcript.whisperx[631].end 25500.601
transcript.whisperx[631].text 何止反應器的這個設施管制辦法站在你旁邊郭部長我非常敬佩他在經濟委員會他說如果現在已經在立法院在討論那麼這個修法國民黨提案郭部長說如果大院通過
transcript.whisperx[632].start 25502.221
transcript.whisperx[632].end 25525.443
transcript.whisperx[632].text 經濟部跟台電會依照修法的這個方向去執行之那請教院長 修法通過你會依照這個方向去執行之嗎任何一個法案只要經過大院充分討論民主表決出來的結果行政院基本上支持非常感謝 那送到行政院執行之的時候那你還會提復議嗎
transcript.whisperx[633].start 25527.281
transcript.whisperx[633].end 25550.807
transcript.whisperx[633].text 我說他如果經過充分討論當然充分討論啊以前很多不是喔我們有113個委員不分藍綠白大家討論我們的看法以前我們真的沒有沒有沒有如果大院通過你的郭部長是這麼說您會不會這樣支持你說你願意那你會不會再提復議請說如果我們建立在共同的前提充分討論民主的程序大院出來的法案
transcript.whisperx[634].start 25551.607
transcript.whisperx[634].end 25575.885
transcript.whisperx[634].text 法律案 預算案 行政院應該是要接受的所以我們就會在這個法律的新的結構底下開始推演怎麼樣對國家最有利的方向我們也希望台灣的能源有新的展現新的展現 因為我們很清楚的知道我們的能源確實 因為我們蓬勃發展能源確實會不夠那我們要怎麼樣多元的一個開發這是非常的重要 所以有一個重點
transcript.whisperx[635].start 25576.485
transcript.whisperx[635].end 25594.193
transcript.whisperx[635].text 您說您會支持但是本席支持是原意的一個修法但是本席要請教也就是《環境基本法》的第23條我們的郭部長跟您也一樣說如果有新的技術能源你們會用開放的態度
transcript.whisperx[636].start 25595.373
transcript.whisperx[636].end 25609.709
transcript.whisperx[636].text 但是你如果環境基本法抱著神主牌非核家園的神主牌你是永遠只是水巴縮縮根本不能做所以環境基本法本席也有提出將非核家園改為淨零家園你同意吧
transcript.whisperx[637].start 25610.41
transcript.whisperx[637].end 25628.682
transcript.whisperx[637].text 非核家園在環境基本法當中並不是誰的神主牌是大院通過的法案好 非常感謝你說不是神主牌我歡喜聽到那麼改為本席所提出的環境基本法第23條也就是說非核家園我們改為近鄰家園你同意吧
transcript.whisperx[638].start 25629.358
transcript.whisperx[638].end 25647.638
transcript.whisperx[638].text 不論是非核或是淨零都是我們邁向的目標但是我聽到委員講淨零比過去您的同事講非碳我覺得好多了好很好謝謝你謝謝你我們一起加油我希望委員會討論送出來協商的時候希望得到行政院的一個支持謝謝接下來我本期要跟你討論
transcript.whisperx[639].start 25649.498
transcript.whisperx[639].end 25675.439
transcript.whisperx[639].text 關稅的問題 院長美國關稅政策它非常的詭辯所以大家說跟變臉一樣其實我不太喜歡講這句話因為我希望我們的產業是穩定的我知道整個中央政府地方政府大家都嚴陣以待而且我們的官員也都很辛苦所以本席要請教我們正面臨的重塑整個全球經貿的一個樣態
transcript.whisperx[640].start 25676.5
transcript.whisperx[640].end 25702.562
transcript.whisperx[640].text 在這樣的一個情況之下政府說4月11號我方代表團已經帶著我們基本的策略那麼也跟美國第一時間用視訊的會議所以要請教你預估什麼時候可以拿出成果那麼在這個成果的時候呢你會分段的來分享還是說要等到60天還是90天才會知道這個結果請教
transcript.whisperx[641].start 25705.391
transcript.whisperx[641].end 25724.16
transcript.whisperx[641].text 非常抱歉我覺得是國際性的談判不是在這裡我們把自己像切香腸一樣一段一段切擺在這個跟切香腸沒有關係因為接下來本席要告訴你的是產業界未知的這個情況他們很緊張因為我們作為行政院就是要讓我們的人民
transcript.whisperx[642].start 25724.76
transcript.whisperx[642].end 25736.746
transcript.whisperx[642].text 尤其是我們的產業他能夠安心所以你不回答本席的這個議題我也給予尊重但是我們還是要繼續討論這個議題本席請教對於美國採購對於美國的投資對於零關稅對於相關的貿易障礙哪一項是首先列入談判的一個項目很多的項目都是談判過程當中必須一一拿出來討論的
transcript.whisperx[643].start 25754.074
transcript.whisperx[643].end 25773.427
transcript.whisperx[643].text 所以換句話說你還是沒辦法告訴我是哪一些是具體但是您曾經說過政府我也非常的希望我們希望能夠用BTA的這個精神跟美國來談那請教院長你認為我們達成BTA的機率有多大
transcript.whisperx[644].start 25774.295
transcript.whisperx[644].end 25794.937
transcript.whisperx[644].text 我們當然希望用BTA的方式雙邊貿易的協定因為仿茂USMCA美加MORE的這個協定它是一個我們看到的結構跟基礎即使它執行的內容並不如它原來設定協定時候那樣的完整但是至少它是一個架構在那個架構底下如果可以有往BTA的方向去做雙方的談話
transcript.whisperx[645].start 25795.758
transcript.whisperx[645].end 25813.883
transcript.whisperx[645].text 也許架構在 精神可以再互相的做一些磋商非常好 本席也希望如此但是我們有前策之見本席不希望重蹈覆轍因為之前我們也都說我們希望跟美國洽談這個BTA我們也做出了很多的貿易的讓步
transcript.whisperx[646].start 25815.263
transcript.whisperx[646].end 25829.853
transcript.whisperx[646].text 但是最後都不了了之所以我還是充分建議大家加油我們希望政府要務實的穩定的來做談判以人民的利益為最優先而不是急著用話術來做宣傳
transcript.whisperx[647].start 25831.054
transcript.whisperx[647].end 25837.077
transcript.whisperx[647].text 沒有非常好所以院長我想大家都很關心你下鄉去開獎就針對於美國宣布的什麼電腦手機智慧型晶片這20種產品那豁免的對等關稅你還說這是強心計但是美國川普又來一個回馬槍了他說他隨即又發文沒有任何的豁免
transcript.whisperx[648].start 25855.746
transcript.whisperx[648].end 25881.015
transcript.whisperx[648].text 而且他說一週之內要宣佈會端出半導體關稅的這個稅率那川普他說囉他說他希望想要在他自己國家裡頭來生產晶片跟半導體那麼請教院長在整個談判的資訊跟狀況到底是如何美國接下來他會宣佈半導體或其他的電子產品增加關稅嗎請教說明
transcript.whisperx[649].start 25882.728
transcript.whisperx[649].end 25904.875
transcript.whisperx[649].text 美國新的政策一直在宣布像今天他又有一個訊息出來說對汽車零組件可能也有另外一個新的市場所以表示你之前下張去講的講得太快了因為美國一直變再變再變表示我們有掌握到訊息對我方有利的我們會充分留起來用如果政策改變了我們就改變未來談判的策略跟我們的立場
transcript.whisperx[650].start 25905.435
transcript.whisperx[650].end 25926.534
transcript.whisperx[650].text 很好 接下來本集告訴你輝達宣布跟台積電在美投資要五千億的美元那麼未來我們是會預期台灣有更多的半導體跟產業會到美國請院長好 這個早上委員也有提到那我們有經過經濟部在做細部的分析是不是一定有時間讓部長來說我們的產業店會不會 告訴我會不會就好 院長這樣部長來回答
transcript.whisperx[651].start 25927.875
transcript.whisperx[651].end 25928.916
transcript.whisperx[651].text 本集非常清楚所以請教會不會
transcript.whisperx[652].start 25943.676
transcript.whisperx[652].end 25964.046
transcript.whisperx[652].text 會不會 你們評估嘛 一定會有評估會不會未來有更多的我們的產業量會移到美國去沒有 他那個部分你告訴我會不會他那個部分大概我們台灣大概只有兩種公司會跟著去一個是做EMS的 就是說做代工的包括那個報紙也有寫 鴻海跟微創這個會過去
transcript.whisperx[653].start 25966.027
transcript.whisperx[653].end 25990.813
transcript.whisperx[653].text 另外一個就是台積電的封裝的部分它本來在美國是交給Amaco這個公司在做這個在美國講好了但是Amaco可能技術不夠所以我們台灣的細品可能會去指導但是這個東西並沒有完全的被披露我們對這個個案的詳細的內容我們都有做一些比較
transcript.whisperx[654].start 25991.713
transcript.whisperx[654].end 26008.298
transcript.whisperx[654].text 因為沒有拿到手上但是這個部分如果我們台灣的廠商要去美國去投資的話那麼當然經濟部會可以關注如果是台灣技術的部分我們一定會嚴守台灣的技術本位我們留在台灣不會過去
transcript.whisperx[655].start 26012.759
transcript.whisperx[655].end 26029.418
transcript.whisperx[655].text 院長您聽到部長所說的也是本席希望的我們國內的產業當然我們要跟世界接軌但是怎麼樣能夠保護我國國內產業的產業鏈不能斷這個是非常的重要因為產業等於是民生
transcript.whisperx[656].start 26030.459
transcript.whisperx[656].end 26045.792
transcript.whisperx[656].text 固產業就等於是顧名聲所以在當時這個關稅風暴出來的時候本席就具體建議我們對外要談判加速談判對內要怎麼樣呢 要紓困而且應對要快 對不對
transcript.whisperx[657].start 26046.513
transcript.whisperx[657].end 26071.901
transcript.whisperx[657].text 我們都有做到你們都有做到但是我告訴你在這樣的一個情況之下我們都非常的希望能夠要怎麼做也就剛才討論的產業我們要怎麼保護日本的首相他在昨天禮拜一的時候他告訴了議會表示日本不會因為倉促完成美國跟美國的關稅談判而做出妥協我們的立場是不是同樣請院長說明
transcript.whisperx[658].start 26072.961
transcript.whisperx[658].end 26093.136
transcript.whisperx[658].text 我說 談判的進行一定是爭取國家最大的利益就是不會為了談判妥協不犧牲國家人民的利益當然 爭取國家最大的利益而要維護產業的國際競爭力謝謝接下來我們要討論這個貿易關稅的障礙的問題那麼請教院長美方最在意的是什麼我們的立場又是什麼關稅貿易障礙的部分我方的立場是什麼我們美國最在意的是什麼非關稅貿易障礙
transcript.whisperx[659].start 26102.611
transcript.whisperx[659].end 26130.916
transcript.whisperx[659].text 基本上分為工業跟農業各有不同的議題在裡面那我們認為要基於雙方貿易的平衡跟公平性也有助於未來大家朝向一個BTA的方式來談有一些內容是可以在談判的時候互相拿出來做磋商的好 一個互相拿出來磋商我告訴你在2025年各國的貿易談判這個貿易障礙的評估裡頭台灣我們自己台灣僅能夠進口是30個月以上
transcript.whisperx[660].start 26132.016
transcript.whisperx[660].end 26147.021
transcript.whisperx[660].text 的這個牛而且角肉牛角肉也不能進嚴格的審查牛內臟那豬肉的部分特別是與國際標準不符的萊克多巴胺的一個檢驗方式都列在美國的貿易關稅的障礙裡頭在這樣的情況之下請教美豬美牛可能會因為關稅談判而鬆綁嗎
transcript.whisperx[661].start 26155.183
transcript.whisperx[661].end 26169.889
transcript.whisperx[661].text 我們首先要把握的是國人的健康再來是我們國內的消費市場的習慣好 所以我主張我們也必須要參考上國際的標準跟科學的根據我們必須用這個方式才能有利於談判
transcript.whisperx[662].start 26171.22
transcript.whisperx[662].end 26195.138
transcript.whisperx[662].text 院長所以我告訴你本席告訴你我主張產品產地的標示不能成為貿易談判的籌碼因為2021年我們進口萊豬的時候對台灣的豬農跟消費者有做出承諾如果棄手當然沒有辦法接受的所以還有一個議題美方也希望能夠進口基改的食品
transcript.whisperx[663].start 26196.209
transcript.whisperx[663].end 26221.504
transcript.whisperx[663].text 我們在教委會裡頭有通過這個基改的食品不能進到校園而且依照我們學校的衛生法的一個法律規定他是不准基改的東西為了孩童的安全孩童的安全是最底的底線絕對不容許有破洞所以本席要請教你的態度呢也就是基改的食品不能進到校園
transcript.whisperx[664].start 26223.343
transcript.whisperx[664].end 26251.561
transcript.whisperx[664].text 還是剛剛的那句話我們國內有國內的法令我們有市場的習慣這個都是維護國人的安全但我們也要考慮到這個國際上的共同的標準跟有沒有科學的根據如果這個科學標準跟根據能夠再來討論的過程當中我們能夠堅持我們的立場也不會去違反國際的這種慣例的話那我們就能堅守住我們的道路院長你這麼說本席聽不是很清楚本席還是要告訴你清楚的立場
transcript.whisperx[665].start 26252.421
transcript.whisperx[665].end 26279.199
transcript.whisperx[665].text 基於孩童的健康基改的食品一定不得進入到我們的校園這是我們的學校衛生法裡頭所規定的請你務必要執行徹底到位我知道我們的法律的規定之所在所以本席要告訴你昨天我也邀請了我們的這個經濟部非常感謝那麼也請聽了產業的這個心聲因為中部地區針對我們的工具機所工具機工具零組件扣件等試行車我們的這個
transcript.whisperx[666].start 26282.321
transcript.whisperx[666].end 26302.21
transcript.whisperx[666].text 這個產業可以說是中部地區的一個胖修啦它的產值也是數兆以上但是昨天有一個答案人民不安心不知道未來是如何所以本席具體建議你的880億現在暫緩不管什麼原因但是本席還是建議積極的趕快拿出你們的方案出來
transcript.whisperx[667].start 26302.95
transcript.whisperx[667].end 26329.256
transcript.whisperx[667].text 其中有一點很重要大家都認為傳統產業中小企業是在於我們整個產業界的大概九成勞動業也在這裡非常的重要重要所以本席要告訴你大家都認為政府偏重於AI 科技將我們的傳傳似乎不到那麼重視那本席要具體建議一定要針對我們的傳統產業中小企業
transcript.whisperx[668].start 26332.717
transcript.whisperx[668].end 26352.039
transcript.whisperx[668].text 一定要好好的輔導執行到位設立一個專責的單一窗口應變小組來協助產業中小企業中小微企業都是一直是經濟部主管我們在今天的總預算當中編列了116億比過去都多我相信除了通案刪除的部分大概
transcript.whisperx[669].start 26353.414
transcript.whisperx[669].end 26357.997
transcript.whisperx[669].text 院長,在你880億裡頭,你說的中小微企業50億,你手拿那麼高,你認為夠嗎?本期認為不夠,你必須要將這個數額來提高,真正的照顧我們的中小企業嘛
transcript.whisperx[670].start 26374.226
transcript.whisperx[670].end 26382.652
transcript.whisperx[670].text 因為年度預算有116億我們把它加了50億我們現在還在跟企業聆聽之後我們還在做最後的盤整會有可能會有可能880億一四十需要一四十需要再增加嗎 再加碼嗎200億是研發的
transcript.whisperx[671].start 26409.704
transcript.whisperx[671].end 26432.402
transcript.whisperx[671].text 好 謝謝楊瓊英文諮詢 謝謝謝謝左院長相關部會首長備詢好 抱怨會現在我們第二個美國國會助理團又到了Welcome歡迎啊 Welcome接下來
transcript.whisperx[672].start 26434.312
transcript.whisperx[672].end 26437.5
transcript.whisperx[672].text 我們政黨總執行最後一位登記第56號葉元之委員請質詢
transcript.whisperx[673].start 26463.448
transcript.whisperx[673].end 26468.231
transcript.whisperx[673].text 一開始之後我們來關心一下教育的議題因為那個校園安全大家都非常關注前一兩年在新北市有發生一個土城一個國中三年級的學生被割喉
transcript.whisperx[674].start 26486.929
transcript.whisperx[674].end 26514.238
transcript.whisperx[674].text 其實那時候整個社會都非常震驚而且憤怒那校園安全是刻不容緩過了去年一整年我們一直在跟教育部溝通希望教育部能夠增加學校的校安人力一開始的時候教育部他提出來的方案是增加一些學務處的副組長的津貼但因為我們認為說像很多副組長還是由老師來兼老師還是有授課壓力另外一方面面對
transcript.whisperx[675].start 26515.3
transcript.whisperx[675].end 26542.978
transcript.whisperx[675].text 層出不窮的這些校安的問題應該要有專職的而且有訓練的人來處理所以不斷的建議之下教育部後來也很感謝教育部啦後來有增加了可以新增學務人力方案就是說讓有一些學校他可以選擇看看是不是可以有專職的校安人員但是我覺得這個進度我不是太滿意啦所以今天剛好總執行院長在希望院長也可以
transcript.whisperx[676].start 26543.618
transcript.whisperx[676].end 26549.066
transcript.whisperx[676].text 除了政治議題之外下鄉去罵我們之外也可以關注一下教育議題這一個
transcript.whisperx[677].start 26552.014
transcript.whisperx[677].end 26579.852
transcript.whisperx[677].text 校安人員部長也上來了我三月份的時候質詢教育部教育部跟我說現在已經請地方的教育局在調查各個學校到底要選擇專職的校安人員還是要兼職的副組長那是我三月多在教育文化委員會質詢教育部給我的答覆但是我實際上問地方縣市政府的實際的答案是還沒有開始調查所以現在很多學校都還沒有選擇
transcript.whisperx[678].start 26581.033
transcript.whisperx[678].end 26606.33
transcript.whisperx[678].text 我想要在這邊問院長請問一下這個動作是不是可以加快因為你調查的速度越慢代表說這個政策實施的日期就越往後我們當然是希望校園安全能夠提早一天把關就提早一天我不知道說在進度上面部長可不可以或者是院長在這個場合可不可以給一個承諾什麼時候要完成調查那實際上學校的學務能力可以擴充
transcript.whisperx[679].start 26607.756
transcript.whisperx[679].end 26627.841
transcript.whisperx[679].text 報告委員 國教署已經喊請各地方政府來表達意見那這個內容請部長來說謝謝委員關心我想我們從上一個會議起這個學生輔導法院長事實上就一直非常關心怎麼樣去對中小學的輔導跟訓導學問人力不要來拖時間我們從國中這一個部分
transcript.whisperx[680].start 26635.903
transcript.whisperx[680].end 26654.349
transcript.whisperx[680].text 陳儒剛才委員也特別提到我們事實上國教署已經今天發文不要一直重複我們今天委員會為什麼還要來這邊問是希望能夠得到一個更明確的答案所以不要重複我現在只要有一個時間什麼時候要完成調查趕快讓這個政策可以實施我希望說給一個承諾
transcript.whisperx[681].start 26655.069
transcript.whisperx[681].end 26682.307
transcript.whisperx[681].text 不然每次問都是說在做了在做了但是就是沒有地方在教學現場就是沒有就是各地方政府把各校的那你調查你不是一個政策實施不是這樣啦不是說中央機關就是我有發文了啦但至於說地方政府怎麼樣就不關我的事如果行政院都把態度都是這樣的話那我們教育我覺得大家要慢慢搞了啦一段話就好了一段話就好了就是今天啊
transcript.whisperx[682].start 26683.107
transcript.whisperx[682].end 26706.978
transcript.whisperx[682].text 已經喊醒地方政府就未來每個學校你是要申請政治學務人力或者是社政副助長不要一直重複我講話我現在講的就是說你們已經有在調查那什麼時候要實施嘛因為我們已經追很久了現在就是沒有嘛那行政院不能夠只是說我發文了啊接下來就關我什麼事了我要搞罷免我沒空啊
transcript.whisperx[683].start 26708.859
transcript.whisperx[683].end 26714.922
transcript.whisperx[683].text 教育政策財政行政院應該要關心了啦什麼時候給我一個期限什麼時候你壓一個期限嘛什麼時候要求他們一定要回報嘛不要說只要地方好像教育部都沒有責任一樣
transcript.whisperx[684].start 26725.707
transcript.whisperx[684].end 26741.993
transcript.whisperx[684].text 大家現在感覺好像叫一步無所謂地方政府你慢也沒我的事如果你慢都是你地方政府的事跟我中央政府無關我搞政治就好教育跟我無關你們這種態度大家不能接受啦部長什麼時候我剛才已經講了如果地方政府順利我們午夜就可以啟動
transcript.whisperx[685].start 26746.314
transcript.whisperx[685].end 26771.22
transcript.whisperx[685].text 五月 地方順利是什麼意思 你會去溝通嗎你會請地方快一點嗎還是你覺得沒有關係因為公民的文書它要給地方有一個至少一個禮拜的一個調查不是至少一個禮拜 部長在交易文化委員會你們已經講說啟動很久了在今年已經有編有預算本來就是要支持這一個 院長今天在這邊啦院長你可能不了解啦我們在委員會其實已經質詢過非常多次那每一次的答案都是說調查中
transcript.whisperx[686].start 26771.94
transcript.whisperx[686].end 26800.876
transcript.whisperx[686].text 那調查中是要調查一年呢還是兩年呢還是五年所以才會在這邊請部長沒有問題我在跟院長講話不好意思院長我在跟你講話可不可以請部長不要插話因為今天是因為在委員會找部長沒有用所以才來院長告訴您說我們在委員會已經講非常多次那教育部一直說調查中調查中調查中調查很久了所以今天才來告訴院長
transcript.whisperx[687].start 26801.536
transcript.whisperx[687].end 26823.331
transcript.whisperx[687].text 教育的議題也希望您費點心院長很多政策教育交通經濟環保各方面都要費點心政治我知道你很重視政治的東西去罵我們立委我都尊重但是也要花點時間在教育議題上面可不可以請院長跟部長講一下這個調查要多久可以出來委員的關心要很務實
transcript.whisperx[688].start 26824.011
transcript.whisperx[688].end 26844.865
transcript.whisperx[688].text 我們現在是地方的意見分歧所以用統一發展的方式地方的意見沒有分歧喔我的了解是說到底是要學務人力還是要副組長地方都是不同地方對於增加人力都是歡迎的現在就是要對所以請你們快點去溝通好不好可不可以給一個期限我們絕對會到剛剛部長所說的時間那也請委員用你的方式能夠比較公平的來點什麼時間剛剛部長已經說的時間了什麼時候
transcript.whisperx[689].start 26852.304
transcript.whisperx[689].end 26880.435
transcript.whisperx[689].text 什麼時候開始施行?我剛才已經講了公文書的來往因為我在講話你插話我就聽不見你講什麼嘛大家執行執行就一來一往不要大家都大家在講話我當然聽不見嘛你剛剛說幾個月你剛剛說幾號?有那麼難懂嗎?不是因為我在講話你插話我聽不見你講什麼好不好不是你難懂你在講話怎麼懂對你不用講這種好像攻擊性的語言好不好是因為你插話你看你現在我講話你又講話那當然我聽不見你講話嘛
transcript.whisperx[690].start 26882.216
transcript.whisperx[690].end 26904.142
transcript.whisperx[690].text 教育部長可以不要插話嗎你現在就回答我什麼時間大概什麼時候五月五月喔五月喔五月就會實施嘛第二個我來關心一下現在不知道院長你知不知道現在在教育不管是國中高中都有出現一個行政大逃亡的現象院長你知道嗎行政什麼大逃亡行政大逃亡你說人力嗎
transcript.whisperx[691].start 26904.982
transcript.whisperx[691].end 26921.931
transcript.whisperx[691].text 因為大家都不想要去兼行政職那院長您知道現在在國中高中國小是只有一個組是可以由專職的公務人員來做其他都要由老師兼任你知道嗎知道嗎那哪一個組不知道請部長說明一下
transcript.whisperx[692].start 26922.881
transcript.whisperx[692].end 26949.549
transcript.whisperx[692].text 你不知道齁只有總務組可以有公務人員來做其他全部都有老師兼任那我現在告訴院長一個現象現在很多老師不願意去做行政職老師都不願意去做行政職所以學校怎麼去選擇哪些老師來做行政職呢都找那些最菜的剛進來的老師讓他去兼比如說去兼學務處的什麼生教組長或是其他處的什麼組長
transcript.whisperx[693].start 26950.809
transcript.whisperx[693].end 26960.815
transcript.whisperx[693].text 這些老師剛進學校他實際上譬如說他可能數學可以教得很好他國語可以教得很好但是一進來不好意思先不要教書先來做生教組長
transcript.whisperx[694].start 26962.301
transcript.whisperx[694].end 26986.19
transcript.whisperx[694].text 那其實這個對學生來說也是一個損失那老師也不太願意兼所以老師不願意兼那怎麼辦呢那就開代理教師的缺讓代理教師來兼這個行政職我現在是兩個建議啦院長聽一下一個建議你是不是思考一下提高老師願意兼行政職的誘因因為現在喔
transcript.whisperx[695].start 26986.85
transcript.whisperx[695].end 27014.692
transcript.whisperx[695].text 做導師的津貼大概是一個月三千塊加有函數價對吧這個部長應該很清楚那行政職的津貼是多少錢一個月差不多四五千塊嘛所以有些行政職的要兼行政職的老師會覺得說好像做導師跟做行政職那個津貼其實是差不了多少所以第一個建議是能不能夠提高如果老師願意兼行政職的津貼可不可以讓有些老師願意多來做這個行政職
transcript.whisperx[696].start 27015.58
transcript.whisperx[696].end 27019.495
transcript.whisperx[696].text 廖長可以嗎請部長核內一下我們整個人力的規劃
transcript.whisperx[697].start 27020.612
transcript.whisperx[697].end 27045.581
transcript.whisperx[697].text 以及未來財富的負擔怎麼樣那我覺得這個問題是要解決的否則對學校的健全的各項發展是不足那我們往健全去解決問題的方式來講所以你的意思是說提高行政職的津貼這個你覺得可以研議然後去解決這個問題解決這個問題那方式有哪一些那這個部分委員所建議的我們請部長比較一下那等一下部長一起回答好一起回答第二個建議是這樣
transcript.whisperx[698].start 27048.103
transcript.whisperx[698].end 27069.335
transcript.whisperx[698].text 我建議說看是不是因為剛剛講只有總務組長他是可以由公務人員來做啦那能不能夠開放讓其他組比如說我剛剛講學務處下面其他組的組長也可以由公務人員專職來做那當然這有可能會是有員額的問題就是說是不是要什麼要增加員額那這個部分我不知道可不可以請
transcript.whisperx[699].start 27070.416
transcript.whisperx[699].end 27095.586
transcript.whisperx[699].text 人事行政總署來研議一下因為這個現象在學校是嚴重的是嚴重的我們要解決的如果沒有人願意做這件事情的話能不能讓比如教育行政的公務人員讓他來做就可以解決這方面人才荒嘛那第二就是說我覺得還是要保障老師就是說學校可以排志願嘛第一志願我開缺出來如果老師願意兼很好對不對就解決問題你可能就不用增加員額
transcript.whisperx[700].start 27096.38
transcript.whisperx[700].end 27121.469
transcript.whisperx[700].text 那老師願意兼如果沒有老師願意兼就一扣在那邊啊你找代理老師也可以那你也可以找專職的公務人員比如說他是教務行政的來做讓這件事情變得比較有彈性那比較有彈性的話就可以解決學校的人力問題這是我建議啦我不知道說院長您可不可以請教一下可不可以
transcript.whisperx[701].start 27122.324
transcript.whisperx[701].end 27151.426
transcript.whisperx[701].text 部長的意見怎麼樣?有一些不只是中央預算的問題先到地方去我們先有問題我們來想說解決的方法是什麼然後再來討論說預算嘛因為這個是教育嘛教育大家很重視嘛如果院長你也認同部長也認同說這個問題要解決我們應該是思考先把方案提出來再去想說這個財務怎麼去支援嘛我們先解決前面的問題了解部長他的想法再請人事長來綜合說明
transcript.whisperx[702].start 27153.217
transcript.whisperx[702].end 27174.038
transcript.whisperx[702].text 跟委員報告我想委員所關心的事實上也是我們教育部跟行政院一直都關心的怎麼樣降低老師的負擔然後包括學校的校事的事務的處理能夠有專人處理這也是為什麼我們在國中這一個區塊裡面優先增加校務校事人力那另外一個怎麼樣去增加各個
transcript.whisperx[703].start 27175.66
transcript.whisperx[703].end 27194.809
transcript.whisperx[703].text 這個處事的這些行政專職人員我想他也涉及到國民教育事實上歸屬地方自治的一個管轄我們這邊會跟地方來討論來研議看怎麼樣能夠有一個更好的一個對中小學一個行政上的一個支持的一個制度
transcript.whisperx[704].start 27196.029
transcript.whisperx[704].end 27223.653
transcript.whisperx[704].text 有講跟沒講一樣沒關係我把問題跟院長講了啦院長現在教學現場就是有這個狀況那看院長您願不願意找部長或地方政府大家召集一下看看怎麼提出一個好的對策來解決這個問題減輕老師的負擔讓家長也放心這是一個其實大家都在談的話題啦只是說你們都不重視我今天拿來這邊講還有我剛剛講那個校安人力目前教育部提出來的方案是一個嘛對不對
transcript.whisperx[705].start 27224.113
transcript.whisperx[705].end 27248.026
transcript.whisperx[705].text 我想我們在這個既有的機會裡面我們逐步來目前的方案是如果國中增加校園人員是增加一個對不對一個可是部長你知道高中啦高中是幾個班一個校園人員你知道嗎高中大概你新增的是國中嘛我現在問你 你到高中大概幾個班一個校園人員你知道嗎
transcript.whisperx[706].start 27253.404
transcript.whisperx[706].end 27275.721
transcript.whisperx[706].text 大概六個班就一個校安人員但是我們現在國中新增的校安人員就是教育部提出來方案說五月份要實施的這個方案是六十班以上一個校安人員那現在的高中生需要校安人員不比高中需要所以我覺得當然部長你會提到說是不是財務問題什麼之類的
transcript.whisperx[707].start 27278.206
transcript.whisperx[707].end 27293.283
transcript.whisperx[707].text 校園人員越多對校園安全越有保障所以是不是可以朝向增加的這個角度去至少比照高中嘛高中有這個需要國中應該也有這個需要啊那高中是六個班一個國中六十班一個這個差距太大
transcript.whisperx[708].start 27294.264
transcript.whisperx[708].end 27309.629
transcript.whisperx[708].text 所以我是不是能夠在這邊也跟部長反映跟院長反映就是國中的校園人員人數能不能比照高中的比例六個班一個報告委員這真的要跟地方政府好好談未來人事費的負擔是在地方政府國中的部分
transcript.whisperx[709].start 27310.449
transcript.whisperx[709].end 27327.174
transcript.whisperx[709].text 你教育部也可以補助啊我現在跟你講教育的議題你覺得這個有沒有必要做如果有必要做再來談下面嘛我現在談的是有沒有必要做
transcript.whisperx[710].start 27327.534
transcript.whisperx[710].end 27347.259
transcript.whisperx[710].text 就是你認為國中的校園人員到底有沒有這個需要如果你也認同部長也認同那當然大家就可以思考說這個財務怎麼去分配嘛那如果你一開始就說我不知道我沒錢啊你要問就問地方政府啊關我中央什麼事這個態度就不OK有必要做的事情很多那這件事情真的要跟地方政府去談
transcript.whisperx[711].start 27350.162
transcript.whisperx[711].end 27368.241
transcript.whisperx[711].text 我覺得有必要做啦至於說怎麼跟地方政府談那當然就拜託教育部嘛 努力嘛因為校園安全真的是大家很關注的一個現象教育部再跟地方政府好好的溝通了解一下地方的意見不要多推給地方政府啦行政院長也要有主見
transcript.whisperx[712].start 27369.873
transcript.whisperx[712].end 27392.859
transcript.whisperx[712].text 再來我想請教一下別的議題我們現在因為美國川普的關稅政策我有看到經濟部長講說他非常認同吃苦當吃補這句話然後郭智慧部長也有提到不經一番寒澈谷,焉得梅花撲鼻香
transcript.whisperx[713].start 27393.7
transcript.whisperx[713].end 27417.692
transcript.whisperx[713].text 那其實這句話已經在預測台灣要進入到一段吃苦的時代了然後也要經歷過這個寒澈苦的時代了先問一下郭部長或院長也可以幫忙回答請問一下我們接下來要面臨怎樣的苦跟怎麼樣的寒澈苦這個是形容詞吧我想那個小學大概五年級左右
transcript.whisperx[714].start 27418.444
transcript.whisperx[714].end 27434.499
transcript.whisperx[714].text 就可以讀過這一篇你這個比喻嘛我現在問你實際上套用在川普的關稅政策我們接下來要面臨到什麼樣的寒測股嘛台灣我是在講那個情境台灣不會到你所說的嘛
transcript.whisperx[715].start 27435.239
transcript.whisperx[715].end 27458.977
transcript.whisperx[715].text 那你認為韓測股台灣配到我所說的為什麼要講不進一般韓測股話都給你講就好了那請問一下吃苦當吃補我們吃苦當...那請你告訴我你的韓測股是什麼情境我來回答你的問題部長這句話是你講的不要反質詢好不好這句話是你講的好那戴總統講說請大家吃苦當吃補請問一下我們接下來要吃什麼苦
transcript.whisperx[716].start 27459.827
transcript.whisperx[716].end 27474.208
transcript.whisperx[716].text 因為部長你很認同賴總統講的吃苦當吃補這是鼓勵的話鼓勵的話有的人像我以前小的時候早上要睡到八點才起床現在我六點起床我也是吃苦
transcript.whisperx[717].start 27475.226
transcript.whisperx[717].end 27492.283
transcript.whisperx[717].text 動作吃飽啊你說你早上起床是吃苦喔好苦喔以前我都是要睡到八點那為什麼你現在為什麼你現在要六點起床為什麼要六點起床因為我要趕七點上班啊所以你覺得很苦啦坐這個位子很苦啦
transcript.whisperx[718].start 27493.188
transcript.whisperx[718].end 27517.593
transcript.whisperx[718].text 那你不會苦那很好所以很苦不是啦今天你部長你怎麼樣你六點起床五點起床不關我們的事啦我們是在講我們是在講那個情境喔等一下請不要一直打岔好不好你吃苦或怎麼樣你是政務官因為你領納稅的錢你做事你認為很苦你可以自己決定要做不要做你可以自己決定等一下部長我還沒有問問題可不可以
transcript.whisperx[719].start 27520.474
transcript.whisperx[719].end 27547.186
transcript.whisperx[719].text 我都沒有問問題一直打岔時間暫停特別跟委員跟部長報告一下我們施政諮詢我們採提問及答的方式進行委員官員共同使用時間特別拜託官員不用搶答委員也適當保留官員回覆的時間我們互相尊重再次呼籲時間進行
transcript.whisperx[720].start 27548.965
transcript.whisperx[720].end 27570.462
transcript.whisperx[720].text 那所以部長你覺得很苦啊這你的事你可以選擇要做不要做大家都尊重你你覺得很苦你可以跟院長講你有點苦不想幹了或者是你跟院長講說你很苦但是你為了台灣打拚你願意繼續做大家都尊重你但現在賴總統講的吃苦當吃補他對的是國人講的
transcript.whisperx[721].start 27571.906
transcript.whisperx[721].end 27595.655
transcript.whisperx[721].text 你們是大家委託來經營這個國家來執政所以有必要告訴國人說到底台灣人要吃什麼苦讓大家來做一個心理準備我現在問的是這件事情所以請問一下部長你認同賴清德總統講的吃苦當吃補請問一下我們的國人接下來要吃什麼苦可不可以先跟大家講一下
transcript.whisperx[722].start 27596.215
transcript.whisperx[722].end 27617.98
transcript.whisperx[722].text 好那報告委員吃苦當作吃補這句話是鼓勵的話那麼我們會吃什麼苦每個人的程度不一樣對不對就像你吃的藥吃苦藥啊有的感覺很苦有的感覺很乾嘛這每一個人的感覺不一樣的東西很難用一個具體的事情去形容
transcript.whisperx[723].start 27618.9
transcript.whisperx[723].end 27638.293
transcript.whisperx[723].text 我要跟你報告的是說我們碰到關稅是每一個產業不會一樣但是有碰到這個實際關稅在操作他感覺說我的可能這個訂單減少了那我可能這個客戶都在美國每一個公司情境不會一樣
transcript.whisperx[724].start 27639.173
transcript.whisperx[724].end 27653.064
transcript.whisperx[724].text 我們經濟部會根據...謝謝部長我已經給你很多時間講了你的意思就是說每個人吃的苦不一樣啦有的人會很苦啦有的人不苦啦那我想問一下幾件事情我覺得大家都非常關心
transcript.whisperx[725].start 27654.059
transcript.whisperx[725].end 27680.29
transcript.whisperx[725].text 因為賴總統有說要用零關稅當作一個基礎去跟美國談判第二個就是要取消一些非關稅的貿易障礙那我特別去看了一下美國他關心什麼非關稅的貿易障礙幾件事情跟院長請教一下第一個米酒在美國的這個報告裡面他提到他認為台灣的料理米酒的
transcript.whisperx[726].start 27681.679
transcript.whisperx[726].end 27706.189
transcript.whisperx[726].text 菸酒稅率太低會形成一個不公平的貿易障礙因為它的酒進來比較貴但是我們磕米酒比較低那我們的米酒我不知道院長院長之前也做過民意代表從這很長一段時間你應該記得之前曾經發生過一次米酒之亂嘛是的它的背景是因為在2003年之前我們的米酒不用稅嘛所以很便宜
transcript.whisperx[727].start 27706.849
transcript.whisperx[727].end 27726.223
transcript.whisperx[727].text 那可是因為要加入WTO所以被要求稅要很高所以那時候甚至有人囤積一瓶酒還賣到180塊所以整個造成一個米酒的大亂那後來也因為有修法啦把米酒的這個稅制又下修嘛修成每公升大概9塊嘛所以它的價錢又再平穩了
transcript.whisperx[728].start 27727.163
transcript.whisperx[728].end 27744.021
transcript.whisperx[728].text 現在大家擔心我們在跟美國談判的時候如果美國按照他的報告認為米酒的稅制太低造成不公平我們的米酒的稅會不會被增加然後會不會造成像之前一樣的米酒的大亂
transcript.whisperx[729].start 27745.103
transcript.whisperx[729].end 27758.34
transcript.whisperx[729].text 就是因為有之前的經驗那時候因為是蒸餾酒類它的稅制是比較高那我們認為我們已經經過內施的調整之後米酒它變成料理米酒它裡面有加添的鹽的成分在
transcript.whisperx[730].start 27760.482
transcript.whisperx[730].end 27780.993
transcript.whisperx[730].text 它已經不是拿來直接飲用的而是我們在料理使用的希望這一點就當作是我們自己的消費市場生活習慣我們用這個立場來跟交涉的國家來做合理的一些談話對 所以不會美國講要降多少就降多少我們還是會堅持我們米酒的保護是這個意思嗎
transcript.whisperx[731].start 27783.8
transcript.whisperx[731].end 27810.091
transcript.whisperx[731].text 是這個意思嗎料理米酒從以前發展到現在這個狀況我們希望維持所以料理米酒的稅制我們不會退就對了不會因為美國認為它是非關稅貿易障礙我們就退這越南講的因為米酒很重要台灣一年大概喝兩千萬米酒那個不是拿來喝啦那個是等於是民生必需品啦是煮菜用的所以希望米酒這一塊可以堅守住然後再來
transcript.whisperx[732].start 27812.23
transcript.whisperx[732].end 27840.76
transcript.whisperx[732].text 基因改造食品因為美國也認為台灣要求基因改造食品跟非基因改造食品的原料比如說玉米大豆是使用不同的關稅編號那因為是不同的關稅編號當然就會造成不同的管制假設美國認為說基因改造跟非基因改造的原料或食品應該都一視同仁該怎麼樣怎麼樣譬如說也不能夠限制誰可以吃不可以吃校園也應該要開放那我們政府的態度是什麼
transcript.whisperx[733].start 27841.735
transcript.whisperx[733].end 27865.232
transcript.whisperx[733].text 剛剛跟委員報告料理米酒是因為雙方在多年前我現在問那個基因食品我說我知道料理米酒因為雙方多年前有過這樣的交涉我們有這樣的立場清楚那至於其他的都還沒經過談判容許我們在談判的當中由我們談判代表照我們自己的國民健康消費習慣引用國際的標準跟科學根據大家來做合理的討論
transcript.whisperx[734].start 27868.359
transcript.whisperx[734].end 27884.178
transcript.whisperx[734].text 因為以前民進黨都很堅持說基改食品不能進入校園不能說你們在野的時候講一套執政又講一套如果你們認為這個基改食品有疑慮的話那當然也要站在國人的健康把關去做談判
transcript.whisperx[735].start 27885.64
transcript.whisperx[735].end 27912.697
transcript.whisperx[735].text 然後再來一個他們認為另外一個貿易障礙就是農藥最大殘留限量的管制他們認為我們對於農藥的殘留限量管制非常複雜那想請教一下如果美國認為說應該要讓這個農藥最大限流的管制鬆一點然後甚至這個標準放寬一點我們現在政府的態度是什麼一樣這個也是我們談判的內容我們在這裡只能說還是剛剛幾個標準
transcript.whisperx[736].start 27915.237
transcript.whisperx[736].end 27931.428
transcript.whisperx[736].text 國民的健康消費的習慣再配合國際的標準以及科學的根據我們只能用這樣來衡量都是談判的內容再來下一個美國認為我們標示台灣豬這件事情也是一個貿易障礙
transcript.whisperx[737].start 27932.928
transcript.whisperx[737].end 27946.789
transcript.whisperx[737].text 因為為什麼會標示台灣產地就是那時候因為政府要開放萊克多巴胺來豬嘛還有放寬萊牛嘛所以大家就想說在鼓勵大家吃台灣豬所以有那個台灣豬的標章當時農業部也有推這個標章這個是志願式的
transcript.whisperx[738].start 27949.416
transcript.whisperx[738].end 27973.517
transcript.whisperx[738].text 這個是自願式的自願式,但有鼓勵嘛那現在美國如果認為說貼這個東西有貿易障礙的話那政府態度是什麼?一樣,剛剛回答一樣嘛就是會本著我們的健康消費的習慣食品安全,然後來談判授權給那個談判代表來談嘛所以不會有答案,沒關係我只是提醒啦幾件事情是國人關心的
transcript.whisperx[739].start 27974.458
transcript.whisperx[739].end 27997.169
transcript.whisperx[739].text 比如說來豬的問題、來牛的問題、農藥的問題、基改食品的問題這個都是大家關心的,所以在談的時候還是要重視我們食安安全再來,部長有提到這個是我們自己的業者自己用自願的方式來標示的對,但是被他認為說是貿易障礙嘛那難不成到時候農業部要宣導說叫大家不要貼嗎
transcript.whisperx[740].start 27998.91
transcript.whisperx[740].end 28024.252
transcript.whisperx[740].text 沒有 有些在談判的過程中有很多可能是誤解的或是不是了解的像包括剛才講的農藥的MIL的訂定的話那第一步就是會跟美國去說明我們訂這個東西的一個方法來做相關的一個溝通好 那再來還有一個被美國可能列為非關稅貿易障礙就是我們貨物稅因為他們非常重視他們車進來之後價格多少
transcript.whisperx[741].start 28025.796
transcript.whisperx[741].end 28037.164
transcript.whisperx[741].text 那這個價格除了關稅之外還有一個貨物稅因為台灣貨物稅很高啦美國車在美國當地賣可能沒有那個貨物稅這麼高嘛那在台灣忽然就加了25%到30%的稅上去
transcript.whisperx[742].start 28039.158
transcript.whisperx[742].end 28065.603
transcript.whisperx[742].text 那我不知道說其實貨物稅的檢討很多人都提出來過啦因為貨物稅是一個比較老的稅最早推出來的時候那時候是把它當作奢侈性貨品科稅最早的時候認為說你就少買點東西啦那現在當然政府有用其他的目的來賦予貨物稅另外的目標啦可是其實我覺得政府也可以利用這個機會思考一下貨物稅有課的必要嗎
transcript.whisperx[743].start 28067.962
transcript.whisperx[743].end 28090.953
transcript.whisperx[743].text 我們現在國人買個汽車也要被課貨物稅25%到30%買一個機車被課貨物稅買個飲料也要課貨物稅中華民國萬萬稅那以之前財政部不願意改現在美國要我把這個視為非關稅貿易障礙我覺得財政部是不是可以藉這個機會改革一下嘛
transcript.whisperx[744].start 28091.713
transcript.whisperx[744].end 28116.807
transcript.whisperx[744].text 改革一下 你把那個貨物稅降低啊降低 然後讓大家不要買個飲料都要課稅 就像娛樂稅一樣現在政府都鼓勵大家去看電影鼓勵大家去看藝文活動結果我們去看電影 去看藝文活動要被課稅 要繳稅給政府你還花錢 文化部還編錢叫大家去從事藝文活動鼓勵你 給你文化幣然後一方面你去從事呢再給你課稅 從娛樂稅拿回來
transcript.whisperx[745].start 28119.327
transcript.whisperx[745].end 28129.952
transcript.whisperx[745].text 這個稅已經自相矛盾了那貨物稅一樣我們現在工商社會啊鼓勵消費嘛沒有 你買東西不好意思你要買是不是請你給錢你買車25%到30%這個是國內也有課喔國外國內都有課喔所以
transcript.whisperx[746].start 28136.089
transcript.whisperx[746].end 28157.059
transcript.whisperx[746].text 我不知道財政部願不願意 院長 我覺得趁這個機會稅制改革一下把貨物稅的問題也通盤檢討一下 可以嗎貨物稅的檢討是很多年在檢討 因為它歷史上因素我覺得它也不是針對奢侈性的那現在說它貨物稅是要大家承擔道路使用 降低什麼污染
transcript.whisperx[747].start 28158.28
transcript.whisperx[747].end 28185.996
transcript.whisperx[747].text 交通工具這麼 都應該重新考量而且現在我們太舊換新也有貨物稅的補助你沒有貨物稅的話大家搞不好更想要太舊換新因為汽車變便宜了歷史上的科稅的理由依據越來越值得被檢討而且我們也有太舊換新甚至包括家電我們可以用這個方式來考量請財政部用這樣的機會去考量
transcript.whisperx[748].start 28187.857
transcript.whisperx[748].end 28211.203
transcript.whisperx[748].text 其實你把貨物稅減免啊 東西變便宜 大家搞不好更刺激消費啊對啦 所以不要用刺激消費來講好 最後一分鐘請教一下大家最近很關心的共諜的問題因為最新的那個吳釗燮的助理啊 共諜啊他知道很多我們國安會的機密行程啊然後曾經也在外交部長旁邊做事 其實這個是非常嚴重的問題啊
transcript.whisperx[749].start 28212.912
transcript.whisperx[749].end 28237.834
transcript.whisperx[749].text 那結果我們的政府被發現對於這個人的終成考核八年沒有做過一次啊所以政府會讓大家覺得說你們一方面好像很都老是質疑別人是共諜可是在政府裡面的共諜你沒有那麼在乎啊八年才做一次終成考核我想請教一下按照規定像這一種這麼重要職務的人應該多久做一次終成考核
transcript.whisperx[750].start 28238.174
transcript.whisperx[750].end 28257.784
transcript.whisperx[750].text 我們會依照現在的規定,如果規定不足我們加以馬上啟動我現在就問你嘛,現在規定是多久要做一次中程考核出國前要做一次,回國也要做然後如果沒有出入境的話,多久要做一次如果出國一定要事先有報備的動作回來之後也要有詳細的報告
transcript.whisperx[751].start 28259.318
transcript.whisperx[751].end 28288.381
transcript.whisperx[751].text 這個是我們現在如果沒有這個規定一定要加嚴如果有這個規定沒有做到我們檢討之後要強力的實施院長我的問題是說你多久做應該按照規定多久要做一次中程考核尤其是像這種國安會秘書長的秘書外交部長秘書多久要做一次你再回答我多我認為啦隨著沒有沒有按照現在規定多久要隨著職務等級的不同我們要做不同的設計像他多久要做一次你覺得才合理像他多久做一次你覺得才合理
transcript.whisperx[752].start 28288.82
transcript.whisperx[752].end 28302.827
transcript.whisperx[752].text 我覺得他應該很嚴謹的要做多久一次 這問題能回答嗎就多久 因為他八年都沒做過我覺得不合理嘛 你覺得他多久一次就回答這就好我現在在檢討 如果說院長的散作問題散成這樣能夠年年讓我們知道他所用的人好 謝謝幼研制委員之一謝謝卓院長相關部會首長的備詢 謝謝
transcript.whisperx[753].start 28319.091
transcript.whisperx[753].end 28327.585
transcript.whisperx[753].text 歡迎回現場議場二樓貴賓席旁聽席的又是來自美國青年領袖訪問團我們掌聲歡迎Welcome
transcript.whisperx[754].start 28332.907
transcript.whisperx[754].end 28356.972
transcript.whisperx[754].text 本會席排定政黨諮詢的委員均已諮詢完畢我們非常感謝卓院長、鄭副院長以及各位閣員連續六次班格延宕身為立法院長我應該在這裡致歉向各位閣員致歉我們希望未來所有的排定諮詢都能夠順利的進行我們先做以下的決定下次會議進行立法委員個人諮詢內政組織諮詢
transcript.whisperx[755].start 28360.799
transcript.whisperx[755].end 28384.194
transcript.whisperx[755].text 抱怨會繼續我們處理復議案兩案以先後順序處理請議事人員宣讀第一案本院台灣民眾黨黨團針對立法院第十一屆第三會期第六次會議報告事項第十五及一百十八案提出復議宣讀完畢我們現在做以下決定另定其處理我們繼續請議事人員宣讀第二案
transcript.whisperx[756].start 28385.267
transcript.whisperx[756].end 28410.641
transcript.whisperx[756].text 本院民進黨黨團針對立法院第十一屆第三會期第六次會議報告事項第25案院會所作決定提出覆議 宣讀完畢我們先來做以下決定令定期處理報告委員會本次會議進行到此為止我們謝謝王振旭委員 郭育群委員一起來出席 謝謝再一次謝謝卓院長 曾副院長 各位閣員我們現在散會